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- semantics (4)
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- Holding isometric muscle action (3)
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- stars: (3)
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- Mechanotransduction (2)
- Media (2)
- Media in education (2)
- Mediation analysis (2)
- Mediterranean basin (2)
- Mediterranean shrubland (2)
- Meerfelder Maar (2)
- Mellin symbols with values in the edge calculus (2)
- Mellin transform (2)
- Menarche (2)
- Mental disorder (2)
- Mercuric mercury (2)
- Mercury (2)
- Meromorphic operator-valued symbols (2)
- Mesenchymal stem cells (2)
- Metabarcoding (2)
- Metabolome analysis (2)
- Metacognition (2)
- Metal complexation (2)
- Metasomatism (2)
- Meteorites (2)
- Methanogenic archaea (2)
- Method (2)
- Method comparison (2)
- Methylation (2)
- Mice (2)
- Michael addition (2)
- Micro-XRF (2)
- Microbial abundance (2)
- Microcystis (2)
- Microemulsion (2)
- Microfluidics (2)
- Microorganisms (2)
- Microsaccade (2)
- Microsaccades (2)
- Microsatellite (2)
- Microstructure (2)
- Microwave chemistry (2)
- Mild cognitive impairment (2)
- Milium effusum (2)
- Mimicry (2)
- Mineralization (2)
- Miocene (2)
- Missions (2)
- Mitosis (2)
- Mittag-Leffler function (2)
- Mixotrophy (2)
- Mixtures (2)
- MoVo (2)
- Mobile devices (2)
- Model order reduction (2)
- Model transformation (2)
- Model-data comparison (2)
- Modern analogue technique (2)
- Modified mycotoxins (2)
- Molecular orientation (2)
- Molybdenum (2)
- Molybdenum cofactor (2)
- Molybdoenzymes (2)
- Monetary Fund (2)
- Mongolia (2)
- Mont Terri (2)
- Monte Carlo (2)
- Monte-Carlo simulations (2)
- Mood (2)
- Moon (2)
- Morphogenesis (2)
- Morphological structure (2)
- Mother-infant interaction (2)
- Motion (2)
- Motor system (2)
- Mountain basins (2)
- Mowing (2)
- MtDNA (2)
- Multi-locus phylogeny (2)
- Multilayer (2)
- Multilevel modeling (2)
- Multilingualism (2)
- Multimodal analysis (2)
- Multimodality (2)
- Multiple sclerosis (2)
- Multiple zeta values (2)
- Multiplex mutagenesis (2)
- Multivariate data analysis (2)
- Muscle (2)
- Music (2)
- Music cognition (2)
- Mycotoxins (2)
- Mysticism (2)
- N ligands (2)
- N-2 reduction (2)
- N2 (2)
- NAC (2)
- NAC transcription factor (2)
- NAP-XPS (2)
- NCA (2)
- NF1 (2)
- NOR (2)
- NP-completeness (2)
- NW Iran (2)
- Nanohybrid (2)
- Nanoparticle (2)
- Nanoparticle uptake (2)
- Nanotechnology (2)
- Nanotoxicology (2)
- National Socialism (2)
- Natural products (2)
- Near East (2)
- Neoliberalism (2)
- Nest predation (2)
- Nested graph conditions (2)
- Network (2)
- Network reconstruction (2)
- Network structure (2)
- Networked foresight (2)
- Neuropeptide Y (2)
- Neutral tone (2)
- New business formation (2)
- New institutionalism (2)
- Nigeria (2)
- Niobium (2)
- Nitrate (2)
- Nitrogen-limitation hypothesis (2)
- Non-canonical sentences (2)
- Non-fluent aphasia (2)
- Non-independent mate choice (2)
- Non-monotonic reasoning (2)
- Non-stationarity (2)
- Non-target terrestrial plants (2)
- Nonlinear coupling (2)
- Nordeste (2)
- North America (2)
- North Anatolian Fault (2)
- North Tabriz Fault (2)
- Nuclear magnetic resonance (2)
- Numerical experiment (2)
- Numerical modelling (2)
- Nursing home (2)
- NutriAct Family Study (2)
- Nutrient (2)
- Nutritional quality (2)
- Nyctereutes procyonoides (2)
- O-serotyping (2)
- OSL dating (2)
- Offending (2)
- Office chair (2)
- Oligo(epsilon-caprolactone) (2)
- Oligopoly competition (2)
- Onsager-Machlup functional (2)
- Open source (2)
- Ophrys (2)
- Optionality (2)
- Orchestia montagui (2)
- Order-preserving transformations (2)
- Organic carbon (2)
- Organic electronics (2)
- Organic geochemistry (2)
- Organic matter (2)
- Organic matter degradation (2)
- Organic semiconductors (2)
- Organic solar cells (2)
- Organization theory (2)
- Organizations (2)
- Organogenesis (2)
- Orogenic wedge (2)
- Oryctolagus cuniculus (2)
- Oscillator ensembles (2)
- Ostracods (2)
- Othering (2)
- Outcrossing (2)
- Outflows (2)
- Oxygen (2)
- Ozone (2)
- P ligands (2)
- P(VDF-TrFE-CFE) terpolymer (2)
- P-waves (2)
- P300 (2)
- PCLake (2)
- PCR (2)
- PER (2)
- PET (2)
- PI3K (2)
- PISA (2)
- Pak choi (2)
- Palaeoclimatology (2)
- Palaeoecology (2)
- Palaeoenvironmental reconstruction (2)
- Paleoceanography (2)
- Paleoecology (2)
- Paleoenvironment (2)
- Paleohydrology (2)
- Palmitate (2)
- Panama (2)
- Parameterized complexity (2)
- Paratethys (2)
- Parents (2)
- Paris agreement (2)
- Paris-Edinburgh press (2)
- Parkinson disease (2)
- Parkinson's disease (2)
- Participation (2)
- Pastoralism (2)
- Pasture (2)
- Path modelling (2)
- Patterning (2)
- Peat (2)
- Pedagogical issues (2)
- Perceived ankle instability (2)
- Periphyton (2)
- Peronosporaceae (2)
- Perovskites (2)
- Personalised medicine (2)
- Personality traits (2)
- Personalization (2)
- Perylene (2)
- Petrography (2)
- Pfadmodell (2)
- Pharmacokinetics (2)
- Phase morphology (2)
- Phase variation (2)
- Phenological modelling (2)
- Phenylpropanoids (2)
- Philosophical anthropology (2)
- Phonology (2)
- Phosphate (2)
- Phospholipids (2)
- Phosphorus limitation (2)
- Photoelectron spectroscopy (2)
- Photosensitive polymer brushes (2)
- Physical exercise (2)
- Picard-Fuchs equations (2)
- Pickering emulsions (2)
- Pigments (2)
- Pipe networks (2)
- Planar polarity (2)
- Plant community (2)
- Plant community model (2)
- Plant functional groups (2)
- Plant height (2)
- Plant macrofossils (2)
- Plant performance (2)
- Plant-based diet (2)
- Plate tectonics (2)
- Platform economy (2)
- Plato (2)
- Pliocene (2)
- Pluralism (2)
- Plyometric exercise (2)
- Poeciliidae (2)
- Poincare inequality (2)
- Point-based rendering (2)
- Point-light action (2)
- Pointing (2)
- Polarization (2)
- Policy (2)
- Policy change (2)
- Pollen record (2)
- Poly(epsilon-caprolactone) (2)
- Polyampholytes (2)
- Polyethyleneimine (2)
- Polymer dispersions (2)
- Polymerization (2)
- Ponds (2)
- Pontides (2)
- Population density (2)
- Population structure (2)
- Population viability analysis (2)
- Porosity (2)
- Porous silicon (2)
- Porphyrins (2)
- Position Generator (2)
- Positive selection (2)
- Postural stability (2)
- Potassium (2)
- Power (2)
- Precipitation gradient (2)
- Precise Point Positioning (2)
- Predator-prey interactions (2)
- Prediabetes (2)
- Predictability (2)
- Predictor (2)
- Preference (2)
- Preferential flow (2)
- Pressure distribution (2)
- Preterm birth (2)
- Primary care (2)
- Priming (2)
- Prior knowledge (2)
- Proactive/reactive balance (2)
- Probability (2)
- Probability distributions (2)
- Process (2)
- Process modeling (2)
- Procrustes rotation (2)
- Progesterone (2)
- Prognosis (2)
- Programming (2)
- Proliferation (2)
- Prominences, active (2)
- Pronoun resolution (2)
- Prosodic boundaries (2)
- Proteasome (2)
- Protein complexes (2)
- Protein expression (2)
- Protein oxidation (2)
- Protein restriction (2)
- Protein secondary structure (2)
- Proteins (2)
- Prototyping (2)
- Proxy (2)
- Pseudomonas syringae (2)
- Psycholinguistics (2)
- Psychological functioning (2)
- Psychology (2)
- Psychopathology (2)
- Psychophysiology (2)
- Psychosocial stress (2)
- Public administration (2)
- Public sector (2)
- Pump-probe (2)
- Puna Plateau (2)
- Push-pull character (2)
- Push-pull effect (2)
- QCA (2)
- QTL (2)
- Qaidam Basin (2)
- Quality assurance (2)
- Quantitative Trait Locus (2)
- Quantitative Trait Locus analysis (2)
- Quantum dots (2)
- Quantum dynamics (2)
- Quartz (2)
- Quasilinear equations (2)
- Query optimization (2)
- R (2)
- R Shiny (2)
- RAFT (2)
- RCT (2)
- REDD+ (2)
- REE (2)
- REMPI (2)
- RNA-guided Cas9 (2)
- RNAseq (2)
- RP2 (2)
- RPA (2)
- Radiation belts (2)
- Radiogenic isotopes (2)
- Rainfall (2)
- Rainfall gradient (2)
- Raman imaging (2)
- Raman microspectroscopy (2)
- Random Forest (2)
- Randomized-controlled trial (2)
- Ranking (2)
- Rapeseed oil (2)
- Rapid automatized naming (2)
- Rationality (2)
- Rattus norvegicus (2)
- Rayleigh waves (2)
- Real time (2)
- Reanalysis (2)
- Rearing experiment (2)
- Rearrangement (2)
- Reasoning (2)
- Recurrence plot (2)
- Redox polymer (2)
- Regionalization (2)
- Regression (2)
- Rehearsal (2)
- Relapse (2)
- Relative clause (2)
- Relative clauses (2)
- Release (2)
- Religiosity (2)
- Removable sets (2)
- Renal failure (2)
- Renal function (2)
- Renewable resources (2)
- Replication (2)
- Reproducibility (2)
- ResNet (2)
- Residual stresses (2)
- Resistance (2)
- Resurvey (2)
- Retention (2)
- Retina (2)
- Retinol (2)
- Retrieval (2)
- Ring tensiometry (2)
- Ring-opening polymerization (2)
- Rio Grande (2)
- Risk factor (2)
- Risk factors (2)
- River (2)
- River restoration (2)
- Rock magnetism (2)
- Rodent (2)
- Rossby waves (2)
- Rotifera (2)
- Rougon-Macquart (2)
- Royden boundary (2)
- Run time analysis (2)
- Running (2)
- Runtime analysis (2)
- S receiver functions (2)
- SAMT (2)
- SARS-CoV-2 (2)
- SAUR (2)
- SDG interactions (2)
- SDS PAGE (2)
- SEIRA spectroelectrochemistry (2)
- SEMG-pattern (2)
- SEPE (2)
- SIMS (2)
- SLA (2)
- SMARC (2)
- SOEP (2)
- SPARQL (2)
- SQL (2)
- SRTM (2)
- SSW (2)
- Salmonella Typhimurium (2)
- Sampling rate (2)
- Satellite magnetics (2)
- Saturated hydraulic conductivity (2)
- Scaling (2)
- Scattering theory (2)
- Scenario (2)
- Scenario planning (2)
- Schrodinger equation (2)
- Schrodinger operators (2)
- Scientific discovery learning (2)
- Sclerochronology (2)
- Second Empire (2)
- Secularism (2)
- Sediment Transport (2)
- Sediment fingerprinting (2)
- Sediment geochemistry (2)
- Sediment reuse (2)
- Sedimentary basin (2)
- Sedimentology (2)
- Sediments (2)
- Seed mass (2)
- Seismic interferometry (2)
- Seismic monitoring and test-ban treaty verification (2)
- Seismotectonic segmentation (2)
- Seismotectonics (2)
- Selection (2)
- Selection vs. age-class forests (2)
- Self (2)
- Self-assembly (2)
- Self-concept (2)
- Self-harm (2)
- Self-organization (2)
- Self-reflection (2)
- Self-stigmatization (2)
- Semantic preview benefit (2)
- Semantic priming (2)
- Semantics (2)
- Semi-arid (2)
- Semiconductors (2)
- Semitic (2)
- Sensor fusion (2)
- Sentence-picture matching (2)
- Sentinel-2 (2)
- Sequence analysis (2)
- Sequential instruction (2)
- Serotonin (2)
- Service-oriented computing (2)
- Sesia Zone (2)
- Sexual conflict (2)
- Sexual dimorphism (2)
- Shame (2)
- Shannon diversity (2)
- Shannon entropy (2)
- Shape memory (2)
- Shape-memory effect (2)
- Shape-memory polymer (2)
- Shire River (2)
- Shona (2)
- Shrews (2)
- Si fractions (2)
- Signal detection theory (2)
- Signal transduction (2)
- Signaling (2)
- Signalling (2)
- Silicon isotopes (2)
- Simulation model (2)
- Single/dual tasking (2)
- Site characterization (2)
- Site response (2)
- Situated cognition (2)
- Siwaliks (2)
- Skeletal muscle (2)
- Skin (2)
- Skin nanocarrier (2)
- Skin penetration (2)
- Slope (2)
- Slope exposure (2)
- Small (2)
- Small for gestational age (2)
- Small mammals (2)
- Smart micro-grids (2)
- Smoking (2)
- Social (2)
- Social cognition (2)
- Social cues (2)
- Social environment (2)
- Social learning (2)
- Social origin (2)
- Software (2)
- Soil fertility (2)
- Soil function (2)
- Soil heterogeneity (2)
- Soil texture (2)
- Solanum tuberosum (2)
- Solidago gigantea (2)
- Solvent effects (2)
- Solvents (2)
- Solvothermal synthesis (2)
- Somatoform disorder (2)
- South American Monsoon System (2)
- South American monsoon system (2)
- Southern Italy (2)
- Soziale Herkunft (2)
- Sozialer Survey Österreich (2)
- Sozialkapital (2)
- Space geodetic surveys (2)
- Spatial analysis (2)
- Spatial autocorrelation (2)
- Spatial bias (2)
- Spatial distribution (2)
- Spatial-numerical associations (2)
- Species co-existence (2)
- Species comparison (2)
- Species complex (2)
- Species distribution models (2)
- Species loss (2)
- Specific entropy (2)
- Spectral analysis (2)
- Spectrophotometry (2)
- Speech production (2)
- Speed (2)
- Speleothems (2)
- Spin probes (2)
- Splicing (2)
- Squeak (2)
- Stable carbon isotope (2)
- Standard deviation (2)
- Standardization (2)
- Starch (2)
- Statistical techniques (2)
- Statistics (2)
- Steady-state balance (2)
- Stemflow (2)
- Steric effect (2)
- Sterols (2)
- Stochastic differential equations (2)
- Strain (2)
- Stress pattern (2)
- Stress response (2)
- Strike-slip faults (2)
- Strong-motion (2)
- Structural equation modeling (2)
- Structural health monitoring (2)
- Student motivation (2)
- Subarctic North Pacific (2)
- Subsampling (2)
- Subsurface biosphere (2)
- Suguta Valley (2)
- Sulfate (2)
- Sulphoxide (2)
- Sumatra (2)
- Sun: UV radiation (2)
- Sun: filaments (2)
- Sun: heliosphere (2)
- Sun: magnetic topology (2)
- Sun: sunspots (2)
- Supernatural (2)
- Supernova remnants (2)
- Superoxide (2)
- Supervision (2)
- Support (2)
- Supramolecular chemistry (2)
- Surface (2)
- Surface composition (2)
- Surface exudates (2)
- Surface functionalization (2)
- Surface relief grating (2)
- Surface treatment (2)
- Surfactant (2)
- Surfactants (2)
- Survival (2)
- Sustainable (2)
- Sustainable development (2)
- Swarm constellation (2)
- Swedish (2)
- Syllabic tone (2)
- Synchronization control (2)
- Synchrotron (2)
- Syntax-semantics interface (2)
- Synthetic biology (2)
- Systematic review (2)
- Systematics (2)
- TGF-beta 1 (2)
- TIG-welding (2)
- TMAO reductase (2)
- TMR (2)
- TRLFS (2)
- TRP channels (2)
- TRPC6 (2)
- Taft equation (2)
- Tailspike protein (2)
- Talik (2)
- TanDEM-X (2)
- Tanzania (2)
- Taphonomy (2)
- Teacher beliefs (2)
- Teacher education (2)
- Teacher educator (2)
- Teacher enthusiasm (2)
- Teacher judgments (2)
- Teacher learning (2)
- Teacher support (2)
- Teachers (2)
- Teaching quality (2)
- Team sports (2)
- Technical enzymes (2)
- Telehealth (2)
- Telemedicine (2)
- Temperate forest (2)
- Temperature-memory effect (2)
- Tense (2)
- Tephrosia purpurea (2)
- TerraSAR-X (2)
- Terrestrial Si cycle (2)
- Test-retest (2)
- Text difficulty (2)
- Text mining (2)
- Textbooks (2)
- Theater (2)
- Thermal effects (2)
- Thermal field (2)
- Thin films (2)
- Thiomersal (2)
- Threat (2)
- Threshold (2)
- Tibet (2)
- Tibetan plateau (2)
- Tight integration (2)
- Time of flight (2)
- Time-resolved spectroscopy (2)
- Toeplitz operators (2)
- Tomography (2)
- Tools (2)
- Total hip replacement (2)
- Total knee replacement (2)
- Total organic carbon (2)
- Toxicokinetics (2)
- Trace element geochemistry (2)
- Tracking (2)
- Trans-European Suture Zone (2)
- Transcription factors (2)
- Transform faults (2)
- Transformation (2)
- Transhimalaya (2)
- Transition metals (2)
- Translocation (2)
- Trauma (2)
- Treadmill walking (2)
- Tree allometry (2)
- Triticum aestivum L. (2)
- Trochaic Law (2)
- Trophic interactions (2)
- Tropical lake (2)
- Trumponomics (2)
- Trunk muscle strength (2)
- Turbulence (2)
- Turkish German (2)
- Turkish-German bilingualism (2)
- Turnover (2)
- Two forms of isometric muscle action (2)
- U-Pb geochronology (2)
- UAV (2)
- UN (2)
- UV (2)
- UV femtosecond laser ablation (2)
- UV irradiation (2)
- UV-vis spectroscopy (2)
- Ulcerative colitis (2)
- Ultrafast X-ray diffraction (2)
- Ultrasonography (2)
- Uncertainties (2)
- Uncertainty quantification (2)
- Understanding (2)
- Unemployment (2)
- Unique column combination (2)
- United Nations (2)
- United States (2)
- Unmanaged vs. managed forests (2)
- Unsaturated zone (2)
- Upper Cambrian (2)
- Upper Cretaceous (2)
- Ursus arctos (2)
- VERB code (2)
- VIIRS DNB (2)
- Valence (2)
- Validity (2)
- Values (2)
- Variance (2)
- Variation (2)
- Varves (2)
- Vegetation (2)
- Vegetation dynamics (2)
- Ventral striatum (2)
- Verb doubling (2)
- Verbal cues (2)
- Verbs (2)
- Verification (2)
- Vibrio cholerae (2)
- Victimization (2)
- Video games (2)
- VideoScan technology (2)
- Virtualization (2)
- Viscoelasticity (2)
- Visual representations (2)
- Visual search (2)
- Visual system (2)
- Vitamin D-binding protein (2)
- Vocabulary (2)
- Volatilization (2)
- Volcanic activity (2)
- Volcano monitoring (2)
- Voles (2)
- Vulpes vulpes (2)
- WKB-expansion (2)
- Walvis Ridge (2)
- Wastewater (2)
- Water Science and Technology (2)
- Water distribution systems (2)
- Water management (2)
- Water resources (2)
- Weakly electric fish (2)
- Wealth distribution (2)
- Weather (2)
- Wehrmacht (2)
- Weight management trial (2)
- Weight stigma (2)
- Weight/shape concern (2)
- Well-being (2)
- West Bohemia (2)
- Western Central Africa (2)
- Western Europe (2)
- Whey protein (2)
- Wicked problems (2)
- Wilhelm von Humboldt (2)
- William James (2)
- Word learning (2)
- Word recognition (2)
- Work-anxiety (2)
- X-ray computed tomography (CT) (2)
- X-ray crystallography (2)
- XAS (2)
- XES (2)
- Xanthomonas (2)
- Xylanase (2)
- Yamabe operator (2)
- Young adulthood (2)
- Young athletes (2)
- Yttria stabilized zirconia (2)
- Zaremba problem (2)
- Zea mays (2)
- Zebrafish (2)
- Zechstein salt (2)
- Zinc homeostasis (2)
- Zootoca vivipara (2)
- [4+2] cycloaddition (2)
- a priori (2)
- ability differentiation (2)
- aboveground biomass (2)
- academic performance (2)
- acceptability judgments (2)
- acceptance (2)
- accommodation (2)
- accounting (2)
- accretion (2)
- accretion discs (2)
- accumulation (2)
- accuracy (2)
- achievement (2)
- achievement emotions (2)
- achilles tendinopathy (2)
- acidophile (2)
- actin (2)
- action language (2)
- action processing (2)
- action recognition (2)
- activated carbon (2)
- active transport (2)
- activity preference (2)
- acute coronary syndrome (2)
- adaptive estimation (2)
- adaptive force (2)
- additive particles (2)
- adjustment (2)
- administration (2)
- administrative culture (2)
- administrative reforms (2)
- adolescent athletes (2)
- adolescent growth (2)
- adolescent immigrants (2)
- aerosol (2)
- affective (2)
- afforestation (2)
- age differentiation (2)
- agent-based model (2)
- agent-based models (2)
- aggressive behavior (2)
- aggressive cognitions (2)
- aggressive peers (2)
- aggressive sexual fantasies (2)
- agitation (2)
- agreement (2)
- agricultural landscapes (2)
- air pollution (2)
- airborne (2)
- albuminuria (2)
- alcohol consumption (2)
- aldehyde oxidase (2)
- aldehydes (2)
- allocation policies (2)
- alpha-stable Levy process (2)
- alternaria group (2)
- ambient noise (2)
- amino acid (2)
- amitriptyline (2)
- ammonia synthesis (2)
- amperometry (2)
- amplitude (2)
- anaphors (2)
- anatexis (2)
- and prediction (2)
- anger regulation (2)
- angiotensin receptor blockers (2)
- animal behavior (2)
- animal behaviour (2)
- animal models (2)
- anisotropic effects (2)
- anthracene (2)
- anthropogenic environment (2)
- anthropometric measures (2)
- anti-consumption (2)
- anticipation (2)
- antifouling (2)
- antimicrobial polymers (2)
- apatite fission track (2)
- aphasia treatment (2)
- aphids (2)
- apoplast (2)
- app (2)
- apple (2)
- apple replant disease (2)
- approach (2)
- approximation (2)
- aquaporin (2)
- architecture (2)
- arctic (2)
- argon dating (2)
- argumentation (2)
- aridification (2)
- aromaticity (2)
- arsenolipids present (2)
- artificial muscles (2)
- aspect ratio (2)
- assembly (2)
- asteroseismology (2)
- astronomical databases (2)
- asymmetry (2)
- asymptotic behavior (2)
- athlete (2)
- atmospheric effects (2)
- atomic force microscopy (AFM) (2)
- attachment (2)
- attentional control (2)
- attentional demand (2)
- attraction (2)
- attribution (2)
- augmented reality (2)
- authoritarianism (2)
- autism (2)
- automatic evaluation (2)
- autonomic nervous system (2)
- auxiliary control (2)
- avoidance (2)
- azobenzene containing surfactants (2)
- azobenzenes (2)
- bacterial O-antigen (2)
- banal nationalism (2)
- bandgap (2)
- bank filtration (2)
- bank vole (2)
- basal accretion (2)
- basic psychological need frustration (2)
- basin analysis (2)
- bat fatalities (2)
- bats (2)
- behaviour (2)
- behavioural syndrome (2)
- beliefs (2)
- benefits (2)
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- multilateralism (2)
- multiple (2)
- multiple stressors (2)
- multiscale analysis (2)
- multispectral (2)
- muscle action (2)
- muscle metabolism (2)
- muscle oxygen saturation (2)
- muscle power (2)
- muscle weakness (2)
- musculoskeletal (2)
- musculoskeletal and neural physiological phenomena (2)
- musculoskeletal ultrasound (2)
- music (2)
- music cognition (2)
- music industry (2)
- music information retrieval (2)
- music perception (2)
- mutants (2)
- mutation (2)
- myth (2)
- n-Alkanes (2)
- naming (2)
- nanoclusters (2)
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- nanoelectrodes (2)
- nanogranites (2)
- nanolenses (2)
- nanoparticle dimers (2)
- nanoreactor (2)
- naphthalenes (2)
- natal dispersal (2)
- national identity (2)
- natural habitats (2)
- natural hazard (2)
- naturalism (2)
- naturalized species (2)
- nature conservation (2)
- nearshore zone (2)
- need satisfaction (2)
- negation (2)
- negative strengthening (2)
- neo-liberalism (2)
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- network analysis (2)
- network dynamics (2)
- neurodegenerative diseases (2)
- neuronal networks (2)
- neuropsychology (2)
- neurotoxicity (2)
- neutrality (2)
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- niche and fitness differences (2)
- niche width (2)
- nineteenth century (2)
- nitrile (2)
- nitrogen limitation (2)
- nitrogen-doped carbon (2)
- noisy systems (2)
- nominalization (2)
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- non-Langevin recombination (2)
- non-athletes (2)
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- non-native speakers (2)
- non-native speech perception (2)
- nonfullerene acceptors (2)
- nonlinear (2)
- nonlinear dynamics (2)
- nonlinear filtering (2)
- nonlinear operator (2)
- nonmodel species (2)
- nonradiative recombination (2)
- nonradiative voltage losses (2)
- nonstationarity (2)
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- normal faults (2)
- noun (2)
- novae, cataclysmic variables (2)
- novel ecosystems (2)
- novelty (2)
- number and brightness (2)
- number concepts (2)
- number processing (2)
- numerical (2)
- numerical distance effect (2)
- numerical model (2)
- numerical simulation (2)
- nursing home (2)
- nutrient (2)
- nutrient retention (2)
- nutrient stoichiometry (2)
- nutrient supply (2)
- nutritional ecology (2)
- oarsmen (2)
- object search (2)
- observation (2)
- occlusion (2)
- ocean acidification (2)
- ocean color remote sensing (2)
- ocean heat uptake (2)
- oil palm (2)
- older adults (2)
- oligodepsipeptides (2)
- omics (2)
- on-water performance (2)
- oncology (2)
- one-carbon metabolism (2)
- online discrimination (2)
- online disinhibition (2)
- online learning (2)
- ontogenesis (2)
- ontogeny (2)
- open (2)
- open clusters and associations: general (2)
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- open education (2)
- open-circuit voltage (2)
- open-field (2)
- operator-valued symbols (2)
- oppositions (2)
- optical imaging (2)
- optical sensors (2)
- optics (2)
- optimism (2)
- orbifolds (2)
- orchard management (2)
- orchestration (2)
- order (2)
- organic carbon (2)
- organic electronics (2)
- organizations (2)
- origins (2)
- oroclinal bending (2)
- orogenic peridotite (2)
- orogenic processes (2)
- orogeny (2)
- osmotic-pressure (2)
- osteoblast (2)
- other-race effect (2)
- outbreak (2)
- outcome measures (2)
- overland flow (2)
- oxidation state (2)
- oxygen heterocycles (2)
- oxygen plasma (2)
- p-Aminophenol (2)
- p53 (2)
- pQCT (2)
- palaeoenvironmental proxies (2)
- palaeoenvironmental reconstruction (2)
- paleo-sediment (2)
- paleoecology (2)
- paleolimnology (2)
- paleovegetation (2)
- palmitoylation (2)
- parafoveal preview benefit (2)
- parafoveal vision (2)
- parameterized complexity (2)
- parameters (2)
- parasites (2)
- parasitoid (2)
- parchment (2)
- parents (2)
- participation (2)
- particle filter (2)
- particulate matter (2)
- party competition (2)
- pasture (2)
- pathway (2)
- pathways (2)
- patient education (2)
- pea (2)
- peace (2)
- peacebuilding (2)
- peak height velocity (2)
- peak torque (2)
- peer influences (2)
- perceived stress (2)
- perception of robots (2)
- perceptual reorganization (2)
- performance budget (2)
- performance information (2)
- performance measurement (2)
- periphyton (2)
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- permittivity enhancement (2)
- permutation entropy (2)
- perovskite solar cell (2)
- personality change (2)
- personality traits (2)
- perspective taking (2)
- pesticides (2)
- phagocytosis (2)
- phase behavior (2)
- phase dynamics (2)
- phase morphology (2)
- phase separation (2)
- phenolic compounds (2)
- phenology (2)
- phosphatidylserine (2)
- phospholipids (2)
- phosphorylase (2)
- phosphorylation (2)
- photochromism (2)
- photoelectron (2)
- photogrammetry (2)
- photoisomerization (2)
- photoluminescence quenching (2)
- photon density wave spectroscopy (2)
- photonic crystals (2)
- photoswitches (2)
- photosynthetic rate (2)
- phreeqc (2)
- phylogenomics (2)
- physical performance (2)
- physics education (2)
- physiological consequences (2)
- phytoplankton communities (2)
- pigment composition (2)
- pitch angle (2)
- planetary boundaries (2)
- planetary rings (2)
- planetary systems (2)
- planets and satellites: fundamental parameters (2)
- planets and satellites: general (2)
- plant architecture (2)
- plant invasions (2)
- plant species richness (2)
- plant volatiles (2)
- plant-soil (belowground) interactions (2)
- plasma instabilities (2)
- plasmaspheric hiss (2)
- plateau (2)
- platinum (2)
- plausibility (2)
- playa (2)
- pluvial floods (2)
- plyometric exercise (2)
- plyometrics (2)
- point clouds (2)
- polarity (2)
- policy analysis (2)
- policy reform (2)
- policy-making (2)
- politics (2)
- pollination (2)
- pollinator shift (2)
- poly(epsilon-caprolactone) (2)
- polyadenylation (2)
- polyampholytes (2)
- polyelectrolytes (2)
- polyester (2)
- polyesterurethanes (2)
- polymer degradation (2)
- polymersomes (2)
- polyphenols (2)
- polysemy (2)
- polystyrene-block-poly(4-vinylpyridine) (2)
- population cycles (2)
- population growth rate (2)
- population size (2)
- population structure (2)
- populations (2)
- pore pressure (2)
- pornography (2)
- porous silicon (2)
- positioning (2)
- positive solutions (2)
- possessives (2)
- post-natal (2)
- postural sway (2)
- potassium channel (2)
- pp-wave solutions (2)
- pragmaticalisation (2)
- pragmatics (2)
- pre-activity (2)
- pre-natal (2)
- pre-school (2)
- pre-service teachers (2)
- preactivation (2)
- precaution (2)
- predation risk (2)
- predator (2)
- predictability (2)
- prediction error (2)
- predictive models (2)
- preference (2)
- preference assessment (2)
- preferential flow (2)
- prefixes (2)
- preprocessing (2)
- preschool children (2)
- presidentialism (2)
- pressure (2)
- pressures (2)
- presupposition (2)
- prevalence information (2)
- primary care (2)
- printing (2)
- privatization (2)
- proactive personality (2)
- proactive work behavior (2)
- probability (2)
- probability density function (2)
- probiotics (2)
- problem (2)
- problem-solving (2)
- problems (2)
- process (2)
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- process modeling (2)
- processes (2)
- proliferation (2)
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- prosody processing (2)
- prospective (2)
- protection motivation theory (2)
- protein carbonyls (2)
- protein engineering (2)
- protein search (2)
- protein translocation (2)
- protein-phenol interactions (2)
- protein-protein (2)
- proteomic analysis (2)
- protest (2)
- protonation (2)
- prototype-willingness-model (2)
- provenance (2)
- psycho-oncology (2)
- psychological detachment (2)
- psychological distress (2)
- psychological well-being (2)
- psychologinguistics (2)
- psychopathy (2)
- psychophysics (2)
- psychopower (2)
- psychosocial moderators (2)
- pubertal timing (2)
- puberty (2)
- public (2)
- public good (2)
- public policy (2)
- publication bias (2)
- pulling isometric muscle action (PIMA) (2)
- pulsars: individual: PSR B0833-45 (2)
- purification (2)
- quality assurance (2)
- quantum (2)
- quantum field theory (2)
- quartz crystal microbalance (2)
- quasi-Fermi level splitting (2)
- questioning solutions (2)
- radhard design (2)
- radial flow (2)
- radiation mechanisms: nonthermal (2)
- radiation therapy (2)
- radiative forcing (2)
- radiocarbon (2)
- radiocarbon dating (2)
- radiogenic isotopes (2)
- radiosensitizers (2)
- rainfall (2)
- rainfall gradient (2)
- rampage (2)
- random diffusivity (2)
- random matrix theory (2)
- random-walks (2)
- randomized controlled trial (2)
- range dynamics (2)
- range of motion (2)
- range size (2)
- rank (2)
- ranking (2)
- rapid test kit (2)
- rate of perceived exertion (2)
- rate of torque development (2)
- ray tracing (2)
- reactance (2)
- reaction kinetics theory (2)
- reaction monitoring (2)
- reactive transport modeling (2)
- reading fluency (2)
- real options (2)
- reasoning (2)
- receiver function (2)
- reciprocal class (2)
- recollection (2)
- recollimation shocks (2)
- recombinant inbred line (2)
- recombination order (2)
- record (2)
- record linkage (2)
- recruitment (2)
- redox homeostasis (2)
- redox polymers (2)
- redox state (2)
- reduction (2)
- reed (2)
- referential choice (2)
- refinement (2)
- reflexives (2)
- reforms (2)
- refugee (2)
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- regional development (2)
- regionalisation (2)
- regulations (2)
- regulatory T cells (2)
- reinforcement (2)
- reionization (2)
- relations (2)
- relationship (2)
- relationship constellations (2)
- remission (2)
- remote teaching (2)
- renormalization Hopf algebra (2)
- replacement (2)
- repository far-field (2)
- representation (2)
- representation learning (2)
- reproducing kernel Hilbert space (2)
- reproductive strategies (2)
- reproductive success (2)
- requirements (2)
- resampling (2)
- research design (2)
- research framework (2)
- research priorities (2)
- reservoir characterization (2)
- resetting (2)
- resonance energy transfer (2)
- resonances (2)
- resource allocation (2)
- resource selection (2)
- restricted range (2)
- resurrection plants (2)
- retrogressive thaw slumps (2)
- return to work (2)
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- rhizosphere (2)
- rhythm (2)
- rifting (2)
- ring current (2)
- ring current electrons (2)
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- role-play (2)
- rolling averages (2)
- root water uptake (2)
- rotational diffusion (2)
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- runners (2)
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- rupturing of metal film (2)
- réchauffement planétaire (2)
- sACC (2)
- salamanders (2)
- salience (2)
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- salinity (2)
- salivary alpha-amylase (2)
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- salt pan (2)
- salt structures (2)
- sample preparation (2)
- satellite data (2)
- satisfaction (2)
- scaffolding (2)
- scalability (2)
- scanning tunneling microscopy (2)
- scenario analysis (2)
- scene perception (2)
- school mathematics (2)
- school quality (2)
- school shooting (2)
- science (2)
- science mapping (2)
- scrambling (2)
- sea level (2)
- sea level rise (2)
- second chambers (2)
- second language processing (2)
- sedentary (2)
- sediment core (2)
- sediment routing (2)
- sediment storage (2)
- sediment supply (2)
- sediment yield (2)
- sediments (2)
- seed (2)
- seed dispersal syndrome (2)
- seed provisioning (2)
- seismic tomography (2)
- seismology (2)
- selective laser melting (2)
- selective laser melting (SLM) (2)
- selenoprotein P (2)
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- semiconducting polymers (2)
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- sentence parsing (2)
- sequential data assimilation (2)
- serum (2)
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- sexual self-esteem (2)
- sexual victimisation (2)
- shallow structure hypothesis (2)
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- shotgun sequencing (2)
- shoulder (2)
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- signal propagation (2)
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- soy protein (2)
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- specificity (2)
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- speech motor control (2)
- speech segmentation (2)
- speed-accuracy trade-off (2)
- speleothems (2)
- sphingomyelin (2)
- spider silk (2)
- spin transition (2)
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- standards (2)
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- starch synthase (2)
- stars: distances (2)
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- stars: individual (gamma Cassiopeiae) (2)
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- state (2)
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- stem cell adhesion (2)
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- sterol (2)
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- stratification (2)
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- subsurface life (2)
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- total disc replacement (2)
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- uncanny valley (2)
- ungulate (2)
- untargeted metabolomics (2)
- upconversion (2)
- upconversion nanoparticles (2)
- urban ecology (2)
- urine (2)
- user experience (2)
- user types (2)
- vagueness (2)
- value chain analysis (2)
- variance (2)
- variation (2)
- vascular calcification (2)
- vegetation dynamics (2)
- vegetation reconstruction (2)
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- 1 (1)
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Institute
- Institut für Physik und Astronomie (3884)
- Institut für Biochemie und Biologie (3282)
- Institut für Geowissenschaften (2508)
- Institut für Chemie (2209)
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- Department Linguistik (654)
- Institut für Informatik und Computational Science (528)
- Institut für Umweltwissenschaften und Geographie (506)
The region of the Andean back-arc of northwestern Argentina has been struck by several magnitude >= 6 crustal earthquakes since the first historically recorded event in 1692. One of these events corresponds to the Anta earthquake on 25 August 1948, with epicenter in the Santa Barbara System causing three deaths and severe damage in Salta and Jujuy provinces with maximum Modified Mercalli seismic intensities (MMI) of IX. We collected and digitized analog seismograms of this earthquake from worldwide seismic observatories in order to perform first-motion analysis and modeling of long-period teleseismic P-waveforms. Our results indicate a simple seismic source of M0 = 2.85 x 1019 N m consistent with a moment magnitude Mw = 6.9. We have also tested for the focal depth determining a shallow source at 8 km with a reverse focal mechanism solution with a minor dextral strike-slip component (strike 20 degrees, dip 30 degrees, rake 120 degrees) from the best fit of waveforms. Using magnitude size empirical relationships, the comparison of the obtained Mw 6.9 magnitude value and the ca. 10,000 km2 area of MMI >= IX from our seismic intensity map, which was obtained from newspaper and many historical reports, indicates a rupture length of 42 +/- 8 km for the Anta earthquake. We show our results in a 3D geological model around the epicentral area, which integrates modern seismicity, geological data, and information of a previously studied east-west cross section located a few kilometers south of the 1948 epicenter. The integration of all available information provides evidence of the re-activation of the Pie de la Sierra del Gallo fault during the 1948 Mw 6.9 shallow earthquake; this thrust fault bounds the Santa Barbara System along its western foothill.
We study the classical, two-sided stable marriage problem under pairwise preferences. In the most general setting, agents are allowed to express their preferences as comparisons of any two of their edges, and they also have the right to declare a draw or even withdraw from such a comparison. This freedom is then gradually restricted as we specify six stages of orderedness in the preferences, ending with the classical case of strictly ordered lists. We study all cases occurring when combining the three known notions of stability-weak, strong, and super-stability-under the assumption that each side of the bipartite market obtains one of the six degrees of orderedness. By designing three polynomial algorithms and two NP-completeness proofs, we determine the complexity of all cases not yet known and thus give an exact boundary in terms of preference structure between tractable and intractable cases.
How tone, intonation and emotion shape the development of infants' fundamental frequency perception
(2022)
Fundamental frequency (integral(0)), perceived as pitch, is the first and arguably most salient auditory component humans are exposed to since the beginning of life.
It carries multiple linguistic (e.g., word meaning) and paralinguistic (e.g., speakers' emotion) functions in speech and communication.
The mappings between these functions and integral(0) features vary within a language and differ cross-linguistically. For instance, a rising pitch can be perceived as a question in English but a lexical tone in Mandarin. Such variations mean that infants must learn the specific mappings based on their respective linguistic and social environments.
To date, canonical theoretical frameworks and most empirical studies do not view or consider the multi-functionality of integral(0), but typically focus on individual functions. More importantly, despite the eventual mastery of integral(0) in communication, it is unclear how infants learn to decompose and recognize these overlapping functions carried by integral(0). In this paper, we review the symbioses and synergies of the lexical, intonational, and emotional functions that can be carried by integral(0) and are being acquired throughout infancy.
On the basis of our review, we put forward the Learnability Hypothesis that infants decompose and acquire multiple integral(0) functions through native/environmental experiences. Under this hypothesis, we propose representative cases such as the synergy scenario, where infants use visual cues to disambiguate and decompose the different integral(0) functions. Further, viable ways to test the scenarios derived from this hypothesis are suggested across auditory and visual modalities.
Discovering how infants learn to master the diverse functions carried by integral(0) can increase our understanding of linguistic systems, auditory processing and communication functions.
Quenching mechanism of uranyl(VI) by chloride and bromide in aqueous and non-aqueous solutions
(2021)
A major hindrance in utilizing uranyl(VI) luminescence as a standard analytical tool, for example, in environmental monitoring or nuclear industries, is quenching by other ions such as halide ions, which are present in many relevant matrices of uranyl(VI) speciation. Here, we demonstrate through a combination of time-resolved laser-induced fluorescence spectroscopy, transient absorption spectroscopy, and quantum chemistry that coordinating solvent molecules play a crucial role in U(VI) halide luminescence quenching. We show that our previously suggested quenching mechanism based on an internal redox reaction of the 1:2-uranyl-halide-complex holds also true for bromide-induced quenching of uranyl(VI). By adopting specific organic solvents, we were able to suppress the separation of the oxidized halide ligand X-2(center dot-) and the formed uranyl(V) into fully solvated ions, thereby "reigniting" U(VI) luminescence. Time-dependent density functional theory calculations show that quenching occurs through the outer-sphere complex of U(VI) and halide in water, while the ligand-to-metal charge transfer is strongly reduced in acetonitrile.
Since the beginning of the Anthropocene, lacustrine biodiversity has been influenced by climate change and human activities. These factors advance the spread of harmful cyanobacteria in lakes around the world, which affects water quality and impairs the aquatic food chain. In this study, we assessed changes in cyanobacterial community dynamics via sedimentary DNA (sedaDNA) from well-dated lake sediments of Lake Tiefer See, which is part of the Klocksin Lake Chain spanning the last 350 years. Our diversity and community analysis revealed that cyanobacterial communities form clusters according to the presence or absence of varves. Based on distance-based redundancy and variation partitioning analyses (dbRDA and VPA) we identified that intensified lake circulation inferred from vegetation openness reconstructions, delta C-13 data (a proxy for varve preservation) and total nitrogen content were abiotic factors that significantly explained the variation in the reconstructed cyanobacterial community from Lake Tiefer See sediments. Operational taxonomic units (OTUs) assigned to Microcystis sp. and Aphanizomenon sp. were identified as potential eutrophication-driven taxa of growing importance since circa common era (ca. CE) 1920 till present. This result is corroborated by a cyanobacteria lipid biomarker analysis. Furthermore, we suggest that stronger lake circulation as indicated by non-varved sediments favoured the deposition of the non-photosynthetic cyanobacteria sister clade Sericytochromatia, whereas lake bottom anoxia as indicated by subrecent- and recent varves favoured the Melainabacteria in sediments. Our findings highlight the potential of high-resolution amplicon sequencing in investigating the dynamics of past cyanobacterial communities in lake sediments and show that lake circulation, anoxic conditions, and human-induced eutrophication are main factors explaining variations in the cyanobacteria community in Lake Tiefer See during the last 350 years.
How different are the results of constant-rate resetting of anomalous-diffusion processes in terms of their ensemble-averaged versus time-averaged mean-squared displacements (MSDs versus TAMSDs) and how does stochastic resetting impact nonergodicity? We examine, both analytically and by simulations, the implications of resetting on the MSD- and TAMSD-based spreading dynamics of particles executing fractional Brownian motion (FBM) with a long-time memory, heterogeneous diffusion processes (HDPs) with a power-law space-dependent diffusivity D(x) = D0|x|gamma and their "combined" process of HDP-FBM. We find, inter alia, that the resetting dynamics of originally ergodic FBM for superdiffusive Hurst exponents develops disparities in scaling and magnitudes of the MSDs and mean TAMSDs indicating weak ergodicity breaking. For subdiffusive HDPs we also quantify the nonequivalence of the MSD and TAMSD and observe a new trimodal form of the probability density function. For reset FBM, HDPs and HDP-FBM we compute analytically and verify by simulations the short-time MSD and TAMSD asymptotes and long-time plateaus reminiscent of those for processes under confinement. We show that certain characteristics of these reset processes are functionally similar despite a different stochastic nature of their nonreset variants. Importantly, we discover nonmonotonicity of the ergodicitybreaking parameter EB as a function of the resetting rate r. For all reset processes studied we unveil a pronounced resetting-induced nonergodicity with a maximum of EB at intermediate r and EB similar to(1/r )-decay at large r. Alongside the emerging MSD-versus-TAMSD disparity, this r-dependence of EB can be an experimentally testable prediction. We conclude by discussing some implications to experimental systems featuring resetting dynamics.
Our input is a complete graph G on n vertices where each vertex has a strict ranking of all other vertices in G. The goal is to construct a matching in G that is popular. A matching M is popular if M does not lose a head-to-head election against any matching M ': here each vertex casts a vote for the matching in {M,M '} in which it gets a better assignment. Popular matchings need not exist in the given instance G and the popular matching problem is to decide whether one exists or not. The popular matching problem in G is easy to solve for odd n. Surprisingly, the problem becomes NP-complete for even n, as we show here. This is one of the few graph theoretic problems efficiently solvable when n has one parity and NP-complete when n has the other parity.
In-depth understanding of the reorganization of the hydrological cycle in response to global climate change is crucial in highly sensitive regions like the eastern Mediterranean, where water availability is a major factor for socioeconomic and political development.
The sediments of Lake Lisan provide a unique record of hydroclimatic change during the last glacial to Holocene transition (ca. 24-11 ka) with its tremendous water level drop of similar to 240 m that finally led to its transition into the present hypersaline water body-the Dead Sea.
Here we utilize high-resolution sedimentological analyses from the marginal terraces and deep lake to reconstruct an unprecedented seasonal record of the last millennia of Lake Lisan. Aragonite varve formation in intercalated intervals of our record demonstrates that a stepwise long-term lake level decline was interrupted by almost one millennium of rising or stable water level.
Even periods of pronounced water level drops indicated by gypsum deposition were interrupted by decades of positive water budgets.
Our results thus highlight that even during major climate change at the end of the last glacial, decadal to millennial periods of relatively stable or positive moisture supply occurred which could have been an important premise for human sedentism.
We establish a new approach of treating elliptic boundary value problems (BVPs) on manifolds with boundary and regular corners, up to singularity order 2. Ellipticity and parametrices are obtained in terms of symbols taking values in algebras of BVPs on manifolds of corresponding lower singularity orders. Those refer to Boutet de Monvel's calculus of operators with the transmission property, see Boutet de Monvel (Acta Math 126:11-51, 1971) for the case of smooth boundary. On corner configuration operators act in spaces with multiple weights. We mainly study the case of upper left entries in the respective 2 x 2 operator block-matrices of such a calculus. Green operators in the sense of Boutet de Monvel (Acta Math 126:11-51, 1971) analogously appear in singular cases, and they are complemented by contributions of Mellin type. We formulate a result on ellipticity and the Fredholm property in weighted corner spaces, with parametrices of analogous kind.
Comparative vote switching
(2024)
Large literatures focus on voter reactions to parties’ policy strategies, agency, or legislative performance. While many inquiries make explicit assumptions about the direction and magnitude of voter flows between parties, comparative empirical analyses of vote switching remain rare. In this article, we overcome three challenges that have previously impeded the comparative study of dynamic party competition based on voter flows: we present a novel conceptual framework for studying voter retention, defection, and attraction in multiparty systems, showcase a newly compiled data infrastructure that marries comparative vote switching data with information on party behavior and party systems in over 250 electoral contexts, and introduce a statistical model that renders our conceptual framework operable. These innovations enable first-time inquiries into the polyadic vote switching patterns underlying multiparty competition and unlock major research potentials on party competition and party system change.
Public opinion polls have become vital and increasingly visible parts of election campaigns. Previous research has frequently demonstrated that polls can influence both citizens' voting intentions and political parties' campaign strategies. However, they are also fraught with uncertainty. Margins of error can reflect (parts of) this uncertainty. This paper investigates how citizens' voting intentions change due to whether polling estimates are presented with or without margins of error.
Using a vignette experiment (N=3224), we examine this question based on a real-world example in which different election polls were shown to nationally representative respondents ahead of the 2021 federal election in Germany. We manipulated the display of the margins of error, the interpretation of polls and the closeness of the electoral race.
The results indicate that margins of error can influence citizens' voting intentions. This effect is dependent on the actual closeness of the race and additional interpretative guidance provided to voters. More concretely, the results consistently show that margins of error increase citizens' inclination to vote for one of the two largest contesting parties if the polling gap between these parties is small, and an interpretation underlines this closeness.
The findings of this study are important for three reasons. First, they help to determine whether margins of error can assist citizens in making more informed (strategic) vote decisions. They shed light on whether depicting opinion-poll uncertainty affects the key features of representative democracy, such as democratic accountability. Second, the results stress the responsibility of the media. The way polls are interpreted and contextualized influences the effect of margins of error on voting behaviour. Third, the findings of this paper underscore the significance of including methodological details when communicating scientific research findings to the broader public.
In the Shadow of Ukraine
(2022)
In 2022, India captured global attention over its response to the war in Ukraine. While calling for both parties' return to diplomacy, India abstained from several United Nations resolutions condemning Russian aggression. For a country that ostensibly subscribes to the values of democracy and territorial integrity, its response appeared frustrating and contradictory, but it is broadly consistent with its long-standing policy of non-alignment. Although India's relationship with China is increasingly contentious, New Delhi is not yet fully convinced that it is in India's interest to swing westwards. The country's relations with Russia and China are deep, complex and substantive. In addition to the military and economic benefits it derives from its connection with Russia, New Delhi and Moscow share an avowed preference for a more equal, multipolar world. India will eventually have to reflect on the extent to which it can sustain its balancing act.
Non-Markovian diffusion of excitons in layered perovskites and transition metal dichalcogenides
(2022)
The diffusion of excitons in perovskites and transition metal dichalcogenides shows clear anomalous, subdiffusive behaviour in experiments.
In this paper we develop a non-Markovian mobile-immobile model which provides an explanation of this behaviour through paired theoretical and simulation approaches.
The simulation model is based on a random walk on a 2D lattice with randomly distributed deep traps such that the trapping time distribution involves slowly decaying power-law asymptotics.
The theoretical model uses coupled diffusion and rate equations for free and trapped excitons, respectively, with an integral term responsible for trapping.
The model provides a good fitting of the experimental data, thus, showing a way for quantifying the exciton diffusion dynamics.
Inorganic perovskite solar cells show excellent thermal stability, but the reported power conversion efficiencies are still lower than for organic-inorganic perovskites. This is mainly caused by lower open-circuit voltages (V(OC)s). Herein, the reasons for the low V-OC in inorganic CsPbI2Br perovskite solar cells are investigated. Intensity-dependent photoluminescence measurements for different layer stacks reveal that n-i-p and p-i-n CsPbI2Br solar cells exhibit a strong mismatch between quasi-Fermi level splitting (QFLS) and V-OC. Specifically, the CsPbI2Br p-i-n perovskite solar cell has a QFLS-e center dot V-OC mismatch of 179 meV, compared with 11 meV for a reference cell with an organic-inorganic perovskite of similar bandgap. On the other hand, this study shows that the CsPbI2Br films with a bandgap of 1.9 eV have a very low defect density, resulting in an efficiency potential of 20.3% with a MeO-2PACz hole-transporting layer and 20.8% on compact TiO2. Using ultraviolet photoelectron spectroscopy measurements, energy level misalignment is identified as a possible reason for the QFLS-e center dot V-OC mismatch and strategies for overcoming this V-OC limitation are discussed. This work highlights the need to control the interfacial energetics in inorganic perovskite solar cells, but also gives promise for high efficiencies once this issue is resolved.
Quantifying root water uptake is essential to understanding plant water use and responses to different environmental conditions. However, non-destructive measurement of water transport and related hydraulics in the soil-root system remains a challenge.
Neutron imaging, with its high sensitivity to hydrogen, has become an unparalleled tool to visualize and quantify root water uptake in vivo. In combination with isotopes (e.g., deuterated water) and a diffusion-convection model, root water uptake and hydraulic redistribution in root and soil can be quantified.
Here, we review recent advances in utilizing neutron imaging to visualize and quantify root water uptake, hydraulic redistribution in roots and soil, and root hydraulic properties of different plant species.
Under uniform soil moisture distributions, neutron radiographic studies have shown that water uptake was not uniform along the root and depended on both root type and age. For both tap (e.g., lupine [Lupinus albus L.]) and fibrous (e.g., maize [Zea mays L.]) root systems, water was mainly taken up through lateral roots. In mature maize, the location of water uptake shifted from seminal roots and their laterals to crown/nodal roots and their laterals.
Under non-uniform soil moisture distributions, part of the water taken up during the daytime maintained the growth of crown/nodal roots in the upper, drier soil layers. Ultra-fast neutron tomography provides new insights into 3D water movement in soil and roots. We discuss the limitations of using neutron imaging and propose future directions to utilize neutron imaging to advance our understanding of root water uptake and soil-root interactions.
The growing use of digital tools in policy implementation has altered the work of street-level bureaucrats who are granted substantial discretionary power in decision-making. Digital tools can constrain discretionary power, like the curtailment thesis proposed, or serve as action resources, like the enablement thesis suggested. This article assesses empirical evidence of the impact of digital tools on street-level work and decision-making in service-oriented and regulation-oriented organisations based on a systematic literature review and thematic qualitative content analysis of 36 empirical studies published until 2021. The findings demonstrate different effects with regard to the role of digital tools and the core tasks of the public administration, depending on political and managerial goals and consequent system design. Leading or decisive digital tools mostly curtail discretion, especially in service-oriented organisations. In contrast, an enhanced information base or recommendations for actions enable decision-making, in particular in regulation-oriented organisations. By showing how street-level bureaucrats actively try to resist the curtailing effects caused by rigid design to address individual circumstances, for instance by establishing ways of coping like rule bending or rule breaking, using personal resources or prioritising among clients, this study demonstrates the importance of the continuation thesis and the persistently crucial role of human judgement in policy implementation.
Schools are key contexts for the development of adolescents' critical consciousness. We explored how three dimensions of the classroom cultural diversity climate (critical consciousness, color-evasion, and multiculturalism) related to adolescents' critical reflection (i.e., perceived societal Islamophobia) and intended critical action (i.e., political activism). Our sample included adolescents experiencing high (second generation, Muslim, N = 237) versus low (non-immigrant descent, non-Muslim, N = 478) stigmatization in Germany. Multilevel analyses revealed that for both groups a critical consciousness climate, but not a color-evasive or a multicultural climate, was positively associated with perceived societal Islamophobia and intended critical action. Thus, to promote adolescents' critical consciousness, schools should go beyond emphasizing a common humanity and celebrating cultural diversity and include explicit discussions of social inequity.
Ground motion with strong-velocity pulses can cause significant damage to buildings and structures at certain periods; hence, knowing the period and velocity amplitude of such pulses is critical for earthquake structural engineering.
However, the physical factors relating the scaling of pulse periods with magnitude are poorly understood.
In this study, we investigate moderate but damaging earthquakes (M-w 6-7) and characterize ground- motion pulses using the method of Shahi and Baker (2014) while considering the potential static-offset effects.
We confirm that the within-event variability of the pulses is large. The identified pulses in this study are mostly from strike-slip-like earthquakes. We further perform simulations using the freq uency-wavenumber algorithm to investigate the causes of the variability of the pulse periods within and between events for moderate strike-slip earthquakes.
We test the effect of fault dips, and the impact of the asperity locations and sizes. The simulations reveal that the asperity properties have a high impact on the pulse periods and amplitudes at nearby stations.
Our results emphasize the importance of asperity characteristics, in addition to earthquake magnitudes for the occurrence and properties of pulses produced by the forward directivity effect.
We finally quantify and discuss within- and between-event variabilities of pulse properties at short distances.
We consider an array of nearest-neighbor coupled nonlinear autonomous oscillators with quenched ran-dom frequencies and purely conservative coupling. We show that global phase-locked states emerge in finite lattices and study numerically their destruction. Upon change of model parameters, such states are found to become unstable with the generation of localized periodic and chaotic oscillations. For weak nonlinear frequency dispersion, metastability occur akin to the case of almost-conservative systems. We also compare the results with the phase-approximation in which the amplitude dynamics is adiabatically eliminated.
The Arctic is rich in aquatic systems and experiences rapid warming due to climate change. The accelerated warming causes permafrost thaw and the mobilization of organic carbon.
When dissolved organic carbon is mobilized, this DOC can be transported to aquatic systems and degraded in the water bodies and further downstream. Here, we analyze the influence of different landscape components on DOC concentrations and export in a small (6.45 km(2)) stream catchment in the Lena River Delta.
The catchment includes lakes and ponds, with the flow path from Pleistocene yedoma deposits across Holocene non-yedoma deposits to the river outlet. In addition to DOC concentrations, we use radiocarbon dating of DOC as well as stable oxygen and hydrogen isotopes (delta O-18 and delta D) to assess the origin of DOC.
We find significantly higher DOC concentrations in the Pleistocene yedoma area of the catchment compared to the Holocene non-yedoma area with medians of 5 and 4.5 mg L-1 (p < 0.05), respectively. When yedoma thaw streams with high DOC concentration reach a large yedoma thermokarst lake, we observe an abrupt decrease in DOC concentration, which we attribute to dilution and lake processes such as mineralization. The DOC ages in the large thermokarst lake (between 3,428 and 3,637 C-14 y BP) can be attributed to a mixing of mobilized old yedoma and Holocene carbon.
Further downstream after the large thermokarst lake, we find progressively younger DOC ages in the stream water to its mouth, paired with decreasing DOC concentrations. This process could result from dilution with leaching water from Holocene deposits and/or emission of ancient yedoma carbon to the atmosphere. Our study shows that thermokarst lakes and ponds may act as DOC filters, predominantly by diluting incoming waters of higher DOC concentrations or by re-mineralizing DOC to CO2 and CH4.
Nevertheless, our results also confirm that the small catchment still contributes DOC on the order of 1.2 kg km(-2) per day from a permafrost landscape with ice-rich yedoma deposits to the Lena River.
Microbe-mediated enzymatic hydrolysis of organic matter entails the production of hydrolysate, the recovery of which may be more or less efficient. The selfish uptake mechanism, recently discovered, allows microbes to hydrolyze polysaccharides and take up large oligomers, which are then degraded in the periplasmic space. By minimizing the hydrolysate loss, selfish behaviour may be profitable for free-living cells dwelling in a patchy substrate landscape. However, selfish uptake seems to be tailored to algal-derived polysaccharides, abundant in organic particles, suggesting that particle-attached microbes may use this strategy. We tracked selfish polysaccharides uptake in surface microbial communities of the northeastern Mediterranean Sea, linking the occurrence of this processing mode with microbial lifestyle. Additionally, we set up fluorescently labelled polysaccharides incubations supplying phytodetritus to investigate a 'pioneer' scenario for particle-attached microbes. Under both conditions, selfish behaviour was almost exclusively carried out by particle-attached microbes, suggesting that this mechanism may represent an advantage in the race for particle exploitation. Our findings shed light on the selfish potential of particle-attached microbes, suggesting multifaceted foraging strategies exerted by particle colonizers.
Same but different
(2022)
The peace processes in Liberia and Sierra Leone share similar contexts and have an interrelated history. They are also often portrayed as successful cases of peacebuilding. This conclusion seems valid, as war has not returned, and political power was handed over peacefully; however, both cases differ with regard to the inclusiveness of the peace processes and the role of local leaders. This article aims to add to the critical peacebuilding debate by focusing on local perceptions about the position of local leaders in these two peace processes. We conducted a public opinion survey in five regions in Sierra Leone and Liberia and expert interviews with peacebuilding actors to examine changing perceptions about the roles of local leaders in both countries. This article speaks to the broader peacebuilding debate by highlighting the importance of including local voices in the peace process and by discussing challenges of inclusive peacebuilding.
In which negotiation contexts are transitional justice provisions included in peace agreements? Today, many peace agreements include transitional justice provisions, but their inclusion differs based on conflict and negotiation characteristics. While context thus seems to be relevant for the choice of transitional justice provisions agreed on by the warring parties, very little is known about the context clusters that enable transitional justice. Using data on 58 full peace agreements signed between 1989 and 2018, a crisp-set Qualitative Comparative Analysis (QCA) investigates the combinations of conflict intensity, rebel group strength, type of conflict, third-party support and civil society participation that led to the inclusion of transitional justice provisions. The result of this exploratory study suggests four context settings that are identified as being empirically relevant for the inclusion of transitional justice provisions. Choices of justice are thus the result of an overall negotiation environment characterized by multiple interrelated context factors.
Colloidal metal sulfide nanoparticles for high performance electrochemical energy storage systems
(2022)
Transition metal sulfides have emerged as excellent replacement candidates of traditional insertion electrode materials based on their conversion or alloying mechanisms, facilitating high specific capacity and rate ability. However, parasitic reactions such as massive volume change during the discharge/ charge processes, intermediate polysulfide dissolution, and passivating solid electrolyte interface formation have led to poor cyclability, hindering their feasibility and applicability in energy storage systems. Colloidal metal sulfide nanoparticles, a special class that integrates the intrinsic chemical properties of metal sulfides and their specified structural features, have fairly enlarged their contribution due to the synergistic effect. This review highlights the latest synthetic approaches based on colloidal process. Their corresponding electrochemical outcomes will also be discussed, which are thoroughly updated along with their insight scientific standpoints.
Consumers are increasingly demanding higher quality and safety standards for the products they consume, and one of this is wheat flour, the basis of a wide variety of processed products. This major component in the diet of many communities can be contaminated by microorganisms before the grain harvest, or during the grain storage right before processing. These microorganisms include several fungal species, many of which produce mycotoxins, secondary metabolites that can cause severe acute and chronic disorders. Yet, we still know little about the overall composition of fungal communities associated with wheat flour. In this study, we contribute to fill this gap by characterizing the fungal microbiome of different types of wheat flour using culture-dependent and -independent techniques. Qualitatively, these approaches suggested similar results, highlighting the presence of several fungal taxa able to produce mycotoxins. In-vitro isolation of fungal species suggest a higher frequency of Penicillium, while metabarcoding suggest a higher abundance of Alternaria. This discrepancy might reside on the targeted portion of the community (alive vs. overall) or in the specific features of each technique. Thus, this study shows that commercial wheat flour hosts a wide fungal diversity with several taxa potentially representing concerns for consumers, aspects that need more attention throughout the food production chain.
Effect of magnesium salts with chaotropic anions on the swelling behavior of PNIPMAM thin films
(2023)
Poly(N-isopropylmethacrylamide) (PNIPMAM) is a stimuli responsive polymer, which in thin film geometry exhibits a volume-phase transition upon temperature increase in water vapor. The swelling behavior of PNIPMAM thin films containing magnesium salts in water vapor is investigated in view of their potential application as nanodevices. Both the extent and the kinetics of the swelling ratio as well as the water content are probed with in situ time-of-flight neutron reflectometry. Additionally, in situ Fourier-transform infrared (FTIR) spectroscopy provides information about the local solvation of the specific functional groups, while two-dimensional FTIR correlation analysis further elucidates the temporal sequence of solvation events. The addition of Mg(ClO4)2 or Mg(NO3)2 enhances the sensitivity of the polymer and therefore the responsiveness of switches and sensors based on PNIPMAM thin films. It is found that Mg(NO3)2 leads to a higher relative water uptake and therefore achieves the highest thickness gain in the swollen state.
Thermal electrons have gyroradii many orders of magnitude smaller than the finite width of a shock, thus need to be pre-accelerated before they can cross it and be accelerated by diffusive shock acceleration. One region where pre-acceleration may occur is the inner foreshock, which upstream electrons must pass through before any potential downstream crossing. In this paper, we perform a large-scale particle-in-cell simulation that generates a single shock with parameters motivated from supernova remnants. Within the foreshock, reflected electrons excite the oblique whistler instability and produce electromagnetic whistler waves, which comove with the upstream flow and as nonlinear structures eventually reach radii of up to 5 ion-gyroradii. We show that the inner electromagnetic configuration of the whistlers evolves into complex nonlinear structures bound by a strong magnetic field around four times the upstream value. Although these nonlinear structures do not in general interact with cospatial upstream electrons, they resonate with electrons that have been reflected at the shock. We show that they can scatter, or even trap, reflected electrons, confining around 0.8% of the total upstream electron population to the region close to the shock where they can undergo substantial pre-acceleration. This acceleration process is similar to, yet approximately three times more efficient than, stochastic shock drift acceleration.
Analyzing social wrongs
(2023)
In the debate on epistemic injustice, it is generally assumed that testimonial injustice as one form of epistemic injustice cannot be committed (fully) deliberately or intentionally because it involves unconscious identity prejudices. Drawing on the case of sexual violence against refugees in European refugee camps, this paper argues that there is a form of testimonial injustice—willful testimonial injustice—that is deliberate. To do so, the paper argues (a) that the hearer intentionally utilizes negative identity prejudices for a particular purpose and (b) that the hearer is aware of the fact that the intentionally used prejudices are in fact prejudices. Furthermore, the paper shows how testimonial injustice relates to recognition failures both in terms of a causal as well as a constitutive claim. In fact, introducing willful testimonial injustice can support the constitutive claim of such a relation that has so far received little attention. Besides arguing for a novel form of testimonial injustice and contributing to the recent debate on the relation between epistemic injustice and recognition failures, this paper is also motivated by the attempt to draw attention to the inhumane conditions for refugees at the border of Europe as well as elsewhere.
Wildfires, as a key disturbance in forest ecosystems, are shaping the world's boreal landscapes. Changes in fire regimes are closely linked to a wide array of environmental factors, such as vegetation composition, climate change, and human activity. Arctic and boreal regions and, in particular, Siberian boreal forests are experiencing rising air and ground temperatures with the subsequent degradation of permafrost soils leading to shifts in tree cover and species composition. Compared to the boreal zones of North America or Europe, little is known about how such environmental changes might influence long-term fire regimes in Russia. The larch-dominated eastern Siberian deciduous boreal forests differ markedly from the composition of other boreal forests, yet data about past fire regimes remain sparse. Here, we present a high-resolution macroscopic charcoal record from lacustrine sediments of Lake Khamra (southwest Yakutia, Siberia) spanning the last ca. 2200 years, including information about charcoal particle sizes and morphotypes. Our results reveal a phase of increased charcoal accumulation between 600 and 900 CE, indicative of relatively high amounts of burnt biomass and high fire frequencies. This is followed by an almost 900-year-long period of low charcoal accumulation without significant peaks likely corresponding to cooler climate conditions. After 1750 CE fire frequencies and the relative amount of biomass burnt start to increase again, coinciding with a warming climate and increased anthropogenic land development after Russian colonization. In the 20th century, total charcoal accumulation decreases again to very low levels despite higher fire frequency, potentially reflecting a change in fire management strategies and/or a shift of the fire regime towards more frequent but smaller fires. A similar pattern for different charcoal morphotypes and comparison to a pollen and non-pollen palynomorph (NPP) record from the same sediment core indicate that broad-scale changes in vegetation composition were probably not a major driver of recorded fire regime changes. Instead, the fire regime of the last two millennia at Lake Khamra seems to be controlled mainly by a combination of short-term climate variability and anthropogenic fire ignition and suppression.
The spatio-temporal epidemic type aftershock sequence (ETAS) model is widely used to describe the self-exciting nature of earthquake occurrences. While traditional inference methods provide only point estimates of the model parameters, we aim at a fully Bayesian treatment of model inference, allowing naturally to incorporate prior knowledge and uncertainty quantification of the resulting estimates. Therefore, we introduce a highly flexible, non-parametric representation for the spatially varying ETAS background intensity through a Gaussian process (GP) prior. Combined with classical triggering functions this results in a new model formulation, namely the GP-ETAS model. We enable tractable and efficient Gibbs sampling by deriving an augmented form of the GP-ETAS inference problem. This novel sampling approach allows us to assess the posterior model variables conditioned on observed earthquake catalogues, i.e., the spatial background intensity and the parameters of the triggering function. Empirical results on two synthetic data sets indicate that GP-ETAS outperforms standard models and thus demonstrate the predictive power for observed earthquake catalogues including uncertainty quantification for the estimated parameters. Finally, a case study for the l'Aquila region, Italy, with the devastating event on 6 April 2009, is presented.
Relationships between climate, species composition, and species richness are of particular importance for understanding how boreal ecosystems will respond to ongoing climate change. This study aims to reconstruct changes in terrestrial vegetation composition and taxa richness during the glacial Late Pleistocene and the interglacial Holocene in the sparsely studied southeastern Yakutia (Siberia) by using pollen and sedimentary ancient DNA (sedaDNA) records. Pollen and sedaDNA metabarcoding data using the trnL g and h markers were obtained from a sediment core from Lake Bolshoe Toko. Both proxies were used to reconstruct the vegetation composition, while metabarcoding data were also used to investigate changes in plant taxa richness. The combination of pollen and sedaDNA approaches allows a robust estimation of regional and local past terrestrial vegetation composition around Bolshoe Toko during the last similar to 35,000 years. Both proxies suggest that during the Late Pleistocene, southeastern Siberia was covered by open steppe-tundra dominated by graminoids and forbs with patches of shrubs, confirming that steppe-tundra extended far south in Siberia. Both proxies show disturbance at the transition between the Late Pleistocene and the Holocene suggesting a period with scarce vegetation, changes in the hydrochemical conditions in the lake, and in sedimentation rates. Both proxies document drastic changes in vegetation composition in the early Holocene with an increased number of trees and shrubs and the appearance of new tree taxa in the lake's vicinity. The sedaDNA method suggests that the Late Pleistocene steppe-tundra vegetation supported a higher number of terrestrial plant taxa than the forested Holocene. This could be explained, for example, by the "keystone herbivore" hypothesis, which suggests that Late Pleistocene megaherbivores were able to maintain a high plant diversity. This is discussed in the light of the data with the broadly accepted species-area hypothesis as steppe-tundra covered such an extensive area during the Late Pleistocene.
Selenium (Se) is known to contribute to several vital physiological functions in mammals: antioxidant defense, fertility, thyroid hormone metabolism, and immune response. Growing evidence indicates the crucial role of Se and Se-containing selenoproteins in the brain and brain function. As for the other essential trace elements, dietary Se needs to reach effective concentrations in the central nervous system (CNS) to exert its functions. To do so, Se-species have to cross the blood-brain barrier (BBB) and/or blood-cerebrospinal fluid barrier (BCB) of the choroid plexus. The main interface between the general circulation of the body and the CNS is the BBB. Endothelial cells of brain capillaries forming the so-called tight junctions are the primary anatomic units of the BBB, mainly responsible for barrier function. The current review focuses on Se transport to the brain, primarily including selenoprotein P/low-density lipoprotein receptor-related protein 8 (LRP8, also known as apolipoprotein E receptor-2) dependent pathway, and supplementary transport routes of Se into the brain via low molecular weight Se-species. Additionally, the potential role of Se and selenoproteins in the BBB, BCB, and neurovascular unit (NVU) is discussed. Finally, the perspectives regarding investigating the role of Se and selenoproteins in the gut-brain axis are outlined.
Both ground- and satellite-based airglow imaging have significantly contributed to understanding the low-latitude ionosphere, especially the morphology and dynamics of the equatorial ionization anomaly (EIA). The NASA Global-scale Observations of the Limb and Disk (GOLD) mission focuses on far-ultraviolet airglow images from a geostationary orbit at 47.5 degrees W. This region is of particular interest at low magnetic latitudes because of the high magnetic declination (i.e., about -20 degrees) and proximity of the South Atlantic magnetic anomaly. In this study, we characterize an exciting feature of the nighttime EIA using GOLD observations from October 5, 2018 to June 30, 2020. It consists of a wavelike structure of a few thousand kilometers seen as poleward and equatorward displacements of the EIA-crests. Initial analyses show that the synoptic-scale structure is symmetric about the dip equator and appears nearly stationary with time over the night. In quasi-dipole coordinates, maxima poleward displacements of the EIA-crests are seen at about +/- 12 degrees latitude and around 20 and 60 degrees longitude (i.e., in geographic longitude at the dip equator, about 53 degrees W and 14 degrees W). The wavelike structure presents typical zonal wavelengths of about 6.7 x 10(3) km and 3.3 x 10(3) km. The structure's occurrence and wavelength are highly variable on a day-to-day basis with no apparent dependence on geomagnetic activity. In addition, a cluster or quasi-periodic wave train of equatorial plasma depletions (EPDs) is often detected within the synoptic-scale structure. We further outline the difference in observing these EPDs from FUV images and in situ measurements during a GOLD and Swarm mission conjunction.
Mechanical behaviors of granite after thermal treatment under loading and unloading conditions
(2021)
Understanding the mechanical behaviors of granite after thermal treatment under loading and unloading conditions is of utmost relevance to deep geothermal energy recovery. In the present study, a series of loading and unloading triaxial compression tests (20, 40 and 60 MPa) on granite specimens after exposure to different temperatures (20, 200, 300, 400, 500 and 600 degrees C) was carried out to quantify the combined effects of thermal treatment and loading/unloading stress conditions on granite strength and deformation. Changes in the microstructure of granite exposed to high temperatures were revealed by optical microscopy. The experimental results indicate that both, thermal treatment and loading/unloading stress conditions, degrade the mechanical behaviors and further decrease the carrying capacity of granite. The gradual degradation of the mechanical characteristics of granite after thermal treatment is mainly associated with the evolution of thermal micro-cracks based on optical microscopy observations. The unloading stress state induces the extension of tension cracks parallel to the axial direction, and thus, the mechanical properties are degraded. Temperatures above 400 degrees C have a more significant influence on the mechanical characteristics of granite than the unloading treatment, whereby 400 degrees C can be treated as a threshold temperature for the delineation of significant deterioration. This study is expected to support feasibility and risk assessments by means of providing data for analytical calculations and numerical simulations on granite exposed to high temperatures during geothermal energy extraction.
Background
The centrality of an event indicates the extent to which it becomes a core part of identity and life story. Event centrality (EC) has been shown to have a strong relationship with PTSD symptoms, which seems to be indirectly influenced by negative posttraumatic cognitions (PTC). However, research on this potential mediation and its causal links particularly with clinical samples is limited and essential to derive treatment implications.
Methods
Pre- and posttreatment data of 103 day-unit patients with PTSD was examined using mediation analyses and structural equation modeling.
Results
Negative PTC mediated the relationship between EC and PTSD symptoms, partially pre- and completely posttreatment. Within extended longitudinal analyses causal directions of the mediation pathways were not adequately interpretable due to unexpected suppression effects.
Conclusions
The results suggest that EC may only have an indirect effect on PTSD symptoms through negative PTC. Thus, decreasing negative PTC which are connected to centralized events might be a key element for PTSD treatment. Thereby, transforming the cognitions' valence to more positive and constructive forms could be crucial rather than mere decentralization. Although suppression effects limited causal inferences, they do not contradict the mediation and further indicate potential interactional terms and a transformation of EC.
Programs are often subjected to significant optimizing and parallelizing transformations based on extensive dependence analysis. Formal validation of such transformations needs modelling paradigms which can capture both control and data dependences in the program vividly. Being value-based with an inherent scope of capturing parallelism, the untimed coloured Petri net (CPN) models, reported in the literature, fit the bill well; accordingly, they are likely to be more convenient as the intermediate representations (IRs) of both the source and the transformed codes for translation validation than strictly sequential variable-based IRs like sequential control flow graphs (CFGs). In this work, an efficient path-based equivalence checking method for CPN models of programs on integers is presented. Extensive experimentation has been carried out on several sequential and parallel examples. Complexity and correctness issues have been treated rigorously for the method.
The digitalization of public administration is increasingly moving forward. This systematic literature review analyzes empirical studies that explore the impacts of digitalization projects (n=93) in the public sector. Bibliometrically, only a few authors have published several times on this topic so far. Most studies focusing on impact come from the US or China, and are related to Computer Science. In terms of content, the majority of examined articles studies services to citizens, and therefore consider them when measuring impact. A classification of the investigated effects by dimensions of public value shows that the analysis of utilitarian-instrumental values, such as efficiency or performance, is prevalent. More interdisciplinary cooperation is needed to research the impact of digitalization in the public sector. The different dimensions of impact should be linked more closely. In addition, research should focus more on the effects of digitalization within administration.
It is widely recognized that collisional mountain belt topography is generated by crustal thickening and lowered by river bedrock erosion, linking climate and tectonics(1-4). However, whether surface processes or lithospheric strength control mountain belt height, shape and longevity remains uncertain. Additionally, how to reconcile high erosion rates in some active orogens with long-term survival of mountain belts for hundreds of millions of years remains enigmatic. Here we investigate mountain belt growth and decay using a new coupled surface process(5,6) and mantle-scale tectonic model(7). End-member models and the new non-dimensional Beaumont number, Bm, quantify how surface processes and tectonics control the topographic evolution of mountain belts, and enable the definition of three end-member types of growing orogens: type 1, non-steady state, strength controlled (Bm > 0.5); type 2, flux steady state(8), strength controlled (Bm approximate to 0.4-0.5); and type 3, flux steady state, erosion controlled (Bm < 0.4). Our results indicate that tectonics dominate in Himalaya-Tibet and the Central Andes (both type 1), efficient surface processes balance high convergence rates in Taiwan (probably type 2) and surface processes dominate in the Southern Alps of New Zealand (type 3). Orogenic decay is determined by erosional efficiency and can be subdivided into two phases with variable isostatic rebound characteristics and associated timescales. The results presented here provide a unified framework explaining how surface processes and lithospheric strength control the height, shape, and longevity of mountain belts.
Potentially disabled?
(2022)
Ten years ago, I was diagnosed with a rare illness called Myasthenia Gravis. Myasthenia Gravis is a long-term neuromuscular autoimmune disease where antibodies block or destroy specific receptors at the junction between nerve and muscle; hence, nerve impulses fail to trigger muscle contractions. The disease leads to varying degrees of muscle weakness. Currently, I have only minor symptoms, I am not seriously impaired, and I do not suffer from any social disadvantage because of my illness. Yet, my life and my body since my diagnosis feel different than before. In this paper I aim to make this feeling intelligible and propose that it is a state of what I call ‘latent impairment’. Latent impairment is a state of being ‘in between’, different from being actually impaired and also different from being abled-bodied. The theory takes its cues both from social constructionist theories of disability as well as theories of (chronic) illness and their focus on the importance of subjectivity. Furthermore, I suggest that a phenomenological understanding of latent impairment can show possible ways of becoming an ally to the DRM.
The legitimacy and effectiveness of international organizations are often linked directly to issues of representation—not only on their high-level governing boards and in top leadership but also within their staff. This article explores two key questions of bureaucratic representation in the critical cases of the International Monetary Fund and World Bank. First, we seek to unpack three essential dimensions of staff representation—nationality, education, and gender—to explain how representation may matter for international organizations. Second, we aim to describe the multiple dimensions of representation in the International Monetary Fund and the World Bank over the past twenty years by deploying a novel dataset on staff demographics, focusing on ranks with decision-making authority within the institutions. Our descriptive analysis reveals that the International Monetary Fund and the World Bank have made considerable efforts to diversify their bureaucracies. Nonetheless, representation remains uneven; for example, nationals from middle- and low-income countries, women, and staff without economics degrees from prominent US- or UK-based universities are less present in key leadership positions. These results may be well explained by the particular needs of the institutions’ technical mandates and limits in the supply of qualified staff and, as such, need not be seen as suboptimal. Nonetheless, perceived imbalances in representation may continue to pose external legitimation and operational challenges to the International Monetary Fund and the World Bank in a complex political environment where such multidimensional representation is important to sustaining the buy-in of donor and borrower countries alike. To this end, we recommend that the International Monetary Fund and the World Bank enhance their diversity and inclusion efforts by increasing transparency via reporting disaggregated data on workforce composition and introducing annual requirements to publish progress reports with management feedback to strengthen internal and external accountability.
Traditional inorganic semiconductors can be electronically doped with high precision. Conversely, there is still conjecture regarding the assessment of the electronic doping density in metal-halide perovskites, not to mention of a control thereof. This paper presents a multifaceted approach to determine the electronic doping density for a range of different lead-halide perovskite systems. Optical and electrical characterization techniques, comprising intensity-dependent and transient photoluminescence, AC Hall effect, transfer-length-methods, and charge extraction measurements were instrumental in quantifying an upper limit for the doping density. The obtained values are subsequently compared to the electrode charge per cell volume under short-circuit conditions ( CUbi/eV), which amounts to roughly 10(16) cm(-3). This figure of merit represents the critical limit below which doping-induced charges do not influence the device performance. The experimental results consistently demonstrate that the doping density is below this critical threshold 10(12) cm(-3), which means << CUbi / e V) for all common lead-based metal-halide perovskites. Nevertheless, although the density of doping-induced charges is too low to redistribute the built-in voltage in the perovskite active layer, mobile ions are present in sufficient quantities to create space-charge-regions in the active layer, reminiscent of doped pn-junctions. These results are well supported by drift-diffusion simulations, which confirm that the device performance is not affected by such low doping densities.
Descriptive analyses of socially important or theoretically interesting phenomena and trends are a vital component of research in the behavioral, social, economic, and health sciences.
Such analyses yield reliable results when using representative individual participant data (IPD) from studies with complex survey designs, including educational large-scale assessments (ELSAs) or social, health, and economic survey and panel studies. The meta-analytic integration of these results offers unique and novel research opportunities to provide strong empirical evidence of the consistency and generalizability of important phenomena and trends.
Using ELSAs as an example, this tutorial offers methodological guidance on how to use the two-stage approach to IPD meta-analysis to account for the statistical challenges of complex survey designs (e.g., sampling weights, clustered and missing IPD), first, to conduct descriptive analyses (Stage 1), and second, to integrate results with three-level meta-analytic and meta-regression models to take into account dependencies among effect sizes (Stage 2).
The two-stage approach is illustrated with IPD on reading achievement from the Programme for International Student Assessment (PISA). We demonstrate how to analyze and integrate standardized mean differences (e.g., gender differences), correlations (e.g., with students' socioeconomic status [SES]), and interactions between individual characteristics at the participant level (e.g., the interaction between gender and SES) across several PISA cycles.
All the datafiles and R scripts we used are available online. Because complex social, health, or economic survey and panel studies share many methodological features with ELSAs, the guidance offered in this tutorial is also helpful for synthesizing research evidence from these studies.
With an increasing number of expected gravitational-wave detections of binary neutron star mergers, it is essential that gravitational-wave models employed for the analysis of observational data are able to describe generic compact binary systems. This includes systems in which the individual neutron stars are millisecond pulsars for which spin effects become essential. In this work, we perform numerical-relativity simulations of binary neutron stars with aligned and antialigned spins within a range of dimensionless spins of chi similar to [-0.28, 0.58]. The simulations are performed with multiple resolutions, show a clear convergence order and, consequently, can be used to test existing waveform approximants. We find that for very high spins gravitational-wave models that have been employed for the interpretation of GW170817 and GW190425 arc not capable of describing our numerical-relativity dataset. We verify through a full parameter estimation study in which clear biases in the estimate of the tidal deformability and effective spin are present. We hope that in preparation of the next gravitational-wave observing run of the Advanced LIGO and Advanced Virgo detectors our new set of numerical-relativity data can be used to support future developments of new gravitational-wave models.
Assessing the impact of hydrogen absorption on the characteristics of the Galactic center excess
(2022)
We present a new reconstruction of the distribution of atomic hydrogen in the inner Galaxy that is based on explicit radiation transport modeling of line and continuum emission and a gas-flow model in the barred Galaxy that provides distance resolution for lines of sight toward the Galactic center.
The main benefits of the new gas model are (a) the ability to reproduce the negative line signals seen with the HI4PI survey and (b) the accounting for gas that primarily manifests itself through absorption.
We apply the new model of Galactic atomic hydrogen to an analysis of the diffuse gamma-ray emission from the inner Galaxy, for which an excess at a few GeV was reported that may be related to dark matter.
We find with high significance an improved fit to the diffuse gamma-ray emission observed with the Fermi-LAT, if our new H i model is used to estimate the cosmic-ray induced diffuse gamma-ray emission.
The fit still requires a nuclear bulge at high significance. Once this is included there is no evidence of a dark-matter signal, be it cuspy or cored. But an additional so-called boxy bulge is still favored by the data.
This finding is robust under the variation of various parameters, for example, the excitation temperature of atomic hydrogen, and a number of tests for systematic issues.
Background
Due to physical coupling between mechanical stress and magnetization in ferromagnetic materials, it is assumed in the literature that the distribution of the magnetic stray field corresponds to the internal (residual) stress of the specimen.
The correlation is, however, not trivial, since the magnetic stray field is also influenced by the microstructure and the geometry of component.
The understanding of the correlation between residual stress and magnetic stray field could help to evaluate the integrity of welded components.
Objective
This study aims at understanding the possible correlation of subsurface and bulk residual stress with magnetic stray field in a low carbon steel weld.
Methods
The residual stress was determined by synchrotron X-ray diffraction (SXRD, subsurface region) and by neutron diffraction (ND, bulk region).
SXRD possesses a higher spatial resolution than ND. Magnetic stray fields were mapped by utilizing high-spatial-resolution giant magneto resistance (GMR) sensors.
Results
The subsurface residual stress overall correlates better with the magnetic stray field distribution than the bulk stress. This correlation is especially visible in the regions outside the heat affected zone, where the influence of the microstructural features is less pronounced but steep residual stress gradients are present.
Conclusions
It was demonstrated that the localized stray field sources without any obvious microstructural variations are associated with steep stress gradients.
The good correlation between subsurface residual stress and magnetic signal indicates that the source of the magnetic stray fields is to be found in the range of the penetration depth of the SXRD measurements.
Human observer net
(2022)
Background:
Current software applications for human observer studies of images lack flexibility in study design, platform independence, multicenter use, and assessment methods and are not open source, limiting accessibility and expandability.
Purpose:
To develop a user-friendly software platform that enables efficient human observer studies in medical imaging with flexibility of study design.
Materials and Methods:
Software for human observer imaging studies was designed as an open-source web application to facilitate access, platform-independent usability, and multicenter studies. Different interfaces for study creation, participation, and management of results were implemented. The software was evaluated in human observer experiments between May 2019 and March 2021, in which duration of observer responses was tracked. Fourteen radiologists evaluated and graded software usability using the 100-point system usability scale. The application was tested in Chrome, Firefox, Safari, and Edge browsers.
Results:
Software function was designed to allow visual grading analysis (VGA), multiple-alternative forced-choice (m-AFC), receiver operating characteristic (ROC), localization ROC, free-response ROC, and customized designs. The mean duration of reader responses per image or per image set was 6.2 seconds 6 4.8 (standard deviation), 5.8 seconds 6 4.7, 8.7 seconds 6 5.7, and 6.0 seconds 6 4.5 in four-AFC with 160 image quartets per reader, four-AFC with 640 image quartets per reader, localization ROC, and experimental studies, respectively. The mean system usability scale score was 83 6 11 (out of 100). The documented code and a demonstration of the application are available online (https://github.com/genskeu/HON, https://hondemo.pythonanywhere.com/).
Conclusion:
A user-friendly and efficient open-source application was developed for human reader experiments that enables study design versatility, as well as platform-independent and multicenter usability.
The Brassica napus seed microbiota is cultivar-specific and transmitted via paternal breeding lines
(2022)
Seed microbiota influence germination and plant health and have the potential to improve crop performance, but the factors that determine their structure and functions are still not fully understood.
Here, we analysed the impact of plant-related and external factors on seed endophyte communities of 10 different oilseed rape (Brassica napus L.) cultivars from 26 field sites across Europe.
All seed lots harboured a high abundance and diversity of endophytes, which were dominated by six genera: Ralstonia, Serratia, Enterobacter, Pseudomonas, Pantoea, and Sphingomonas.
The cultivar was the main factor explaining the variations in bacterial diversity, abundance and composition. In addition, the latter was significantly influenced by diverse biotic and abiotic factors, for example host germination rates and disease resistance against Plasmodiophora brassicae.
A set of bacterial biomarkers was identified to discriminate between characteristics of the seeds, for example Sphingomonas for improved germination and Brevundimonas for disease resistance.
Application of a Bayesian community approach suggested vertical transmission of seed endophytes, where the paternal parent plays a major role and might even determine the germination performance of the offspring.
This study contributes to the understanding of seed microbiome assembly and underlines the potential of the microbiome to be implemented in crop breeding and biocontrol programmes.
Divided loyalties?
(2022)
Many operational International Organizations (IOs) rely on national staff when implementing projects in member states. However, fears persist that the loyalties of national IO staff may be divided when working in their home countries. The article studies differences in more than 50,000 procurement decisions taken in 1729 projects overseen by World Bank staff working as expatriates or in their home countries. The empirical results show that when staff work in their home countries, national suppliers' probability of winning procurement contracts increases. However, these increases are not driven by restricted procurement processes—that exclude competition—which are often seen as red flags for corruption. Instead, restricted procurement processes seem to be less likely when staff work in their home countries. These findings imply that national IO staff use their country-specific knowledge to increase the development effectiveness of procurement in line with the mandate of the World Bank.
Inferences about hypotheses are ubiquitous in the cognitive sciences. Bayes factors provide one general way to compare different hypotheses by their compatibility with the observed data. Those quantifications can then also be used to choose between hypotheses. While Bayes factors provide an immediate approach to hypothesis testing, they are highly sensitive to details of the data/model assumptions and it's unclear whether the details of the computational implementation (such as bridge sampling) are unbiased for complex analyses. Hem, we study how Bayes factors misbehave under different conditions. This includes a study of errors in the estimation of Bayes factors; the first-ever use of simulation-based calibration to test the accuracy and bias of Bayes factor estimates using bridge sampling; a study of the stability of Bayes factors against different MCMC draws and sampling variation in the data; and a look at the variability of decisions based on Bayes factors using a utility function. We outline a Bayes factor workflow that researchers can use to study whether Bayes factors are robust for their individual analysis. Reproducible code is available from haps://osf.io/y354c/. <br /> Translational Abstract <br /> In psychology and related areas, scientific hypotheses are commonly tested by asking questions like "is [some] effect present or absent." Such hypothesis testing is most often carried out using frequentist null hypothesis significance testing (NIIST). The NHST procedure is very simple: It usually returns a p-value, which is then used to make binary decisions like "the effect is present/abscnt." For example, it is common to see studies in the media that draw simplistic conclusions like "coffee causes cancer," or "coffee reduces the chances of geuing cancer." However, a powerful and more nuanced alternative approach exists: Bayes factors. Bayes factors have many advantages over NHST. However, for the complex statistical models that arc commonly used for data analysis today, computing Bayes factors is not at all a simple matter. In this article, we discuss the main complexities associated with computing Bayes factors. This is the first article to provide a detailed workflow for understanding and computing Bayes factors in complex statistical models. The article provides a statistically more nuanced way to think about hypothesis testing than the overly simplistic tendency to declare effects as being "present" or "absent".
Donors of development assistance for health typically provide funding for a range of disease focus areas, such as maternal health and child health, malaria, HIV/AIDS, and other infectious diseases. But funding for each disease category does not match closely its contribution to the disability and loss of life it causes and the cost-effectiveness of interventions. We argue that peer influences in the social construction of global health priorities contribute to explaining this misalignment. Aid policy-makers are embedded in a social environment encompassing other donors, health experts, advocacy groups, and international officials. This social environment influences the conceptual and normative frameworks of decision-makers, which in turn affect their funding priorities. Aid policy-makers are especially likely to emulate decisions on funding priorities taken by peers with whom they are most closely involved in the context of expert and advocacy networks. We draw on novel data on donor connectivity through health IGOs and health INGOs and assess the argument by applying spatial regression models to health aid disbursed globally between 1990 and 2017. The analysis provides strong empirical support for our argument that the involvement in overlapping expert and advocacy networks shapes funding priorities regarding disease categories and recipient countries in health aid.
In this study, we analyzed a large seismological dataset from temporary and permanent networks in the southern and eastern Alps to establish high-precision hypocenters and 1-D V-P and V-P/V-S models. The waveform data of a subset of local earthquakes with magnitudes in the range of 1-4.2 M-L were recorded by the dense, temporary SWATH-D network and selected stations of the AlpArray network between September 2017 and the end of 2018. The first arrival times of P and S waves of earthquakes are determined by a semi-automatic procedure. We applied a Markov chain Monte Carlo inversion method to simultaneously calculate robust hypocenters, a 1-D velocity model, and station corrections without prior assumptions, such as initial velocity models or earthquake locations. A further advantage of this method is the derivation of the model parameter uncertainties and noise levels of the data. The precision estimates of the localization procedure is checked by inverting a synthetic travel time dataset from a complex 3-D velocity model and by using the real stations and earthquakes geometry. The location accuracy is further investigated by a quarry blast test. The average uncertainties of the locations of the earthquakes are below 500m in their epicenter and similar to 1.7 km in depth. The earthquake distribution reveals seismicity in the upper crust (0-20 km), which is characterized by pronounced clusters along the Alpine frontal thrust, e.g., the Friuli-Venetia (FV) region, the Giudicarie-Lessini (GL) and Schio-Vicenza domains, the Austroalpine nappes, and the Inntal area. Some seismicity also occurs along the Periadriatic Fault. The general pattern of seismicity reflects head-on convergence of the Adriatic indenter with the Alpine orogenic crust. The seismicity in the FV and GL regions is deeper than the modeled frontal thrusts, which we interpret as indication for southward propagation of the southern Alpine deformation front (blind thrusts).
Dryland xeric conditions exert a deterministic effect on microbial communities, forcing life into refuge niches. Deposited rocks can form a lithic niche for microorganisms in desert regions. Mineral weathering is a key process in soil formation and the importance of microbial-driven mineral weathering for nutrient extraction is increasingly accepted. Advances in geobiology provide insight into the interactions between microorganisms and minerals that play an important role in weathering processes. In this study, we present the examination of the microbial diversity in dryland rocks from the Tsauchab River banks in Namibia. We paired culture-independent 16S rRNA gene amplicon sequencing with culture-dependent (isolation of bacteria) techniques to assess the community structure and diversity patterns. Bacteria isolated from dryland rocks are typical of xeric environments and are described as being involved in rock weathering processes. For the first time, we extracted extra- and intracellular DNA from rocks to enhance our understanding of potentially rock-weathering microorganisms. We compared the microbial community structure in different rock types (limestone, quartz-rich sandstone and quartz-rich shale) with adjacent soils below the rocks. Our results indicate differences in the living lithic and sublithic microbial communities.
Harmful side effects
(2022)
Governments have increasingly adopted laws restricting the activities of international non-governmental organizations INGOs within their borders. Such laws are often intended to curb the ability of critical INGOs to discover and communicate government failures and abuses to domestic and international audiences. They can also have the unintended effect of reducing the presence and activities of INGOs working on health issues, and depriving local health workers and organizations of access to resources, knowledge and other forms of support. This study assesses whether legislative restrictions on INGOs are associated with fewer health INGOs in a wide range of countries and with the ability of those countries to mitigate disability-adjusted life years lost because of twenty-one disease categories between 1993 and 2017. The findings indicate that restrictive legislation hampered efforts by civil society to lighten the global burden of disease and had adverse side effects on the health of citizens worldwide.
In some catchments, the distribution of annual maximum streamflow shows heavy tail behavior, meaning the occurrence probability of extreme events is higher than if the upper tail decayed exponentially. Neglecting heavy tail behavior can lead to an underestimation of the likelihood of extreme floods and the associated risk. Partly contradictory results regarding the controls of heavy tail behavior exist in the literature and the knowledge is still very dispersed and limited. To better understand the drivers, we analyze the upper tail behavior and its controls for 480 catchments in Germany and Austria over a period of more than 50 years. The catchments span from quickly reacting mountain catchments to large lowland catchments, allowing for general conclusions. We compile a wide range of event and catchment characteristics and investigate their association with an indicator of the tail heaviness of flood distributions, namely the shape parameter of the GEV distribution. Following univariate analyses of these characteristics, along with an evaluation of different aggregations of event characteristics, multiple linear regression models, as well as random forests, are constructed. A novel slope indicator, which represents the relation between the return period of flood peaks and event characteristics, captures the controls of heavy tails best. Variables describing the catchment response are found to dominate the heavy tail behavior, followed by event precipitation, flood seasonality, and catchment size. The pre-event moisture state in a catchment has no relevant impact on the tail heaviness even though it does influence flood magnitudes.
Gravitational waves from the collision of binary neutron stars provide a unique opportunity to study the behaviour of supranuclear matter, the fundamental properties of gravity and the cosmic history of our Universe. However, given the complexity of Einstein's field equations, theoretical models that enable source-property inference suffer from systematic uncertainties due to simplifying assumptions. We develop a hypermodel approach to compare and measure the uncertainty of gravitational-wave approximants. Using state-of-the-art models, we apply this new technique to the binary neutron star observations GW170817 and GW190425 and to the sub-threshold candidate GW200311_103121. Our analysis reveals subtle systematic differences (with Bayesian odds of similar to 2) between waveform models. A frequency-dependence study suggests that this may be due to the treatment of the tidal sector. This new technique provides a proving ground for model development and a means to identify waveform systematics in future observing runs where detector improvements will increase the number and clarity of binary neutron star collisions we observe.
There is a longstanding and widely held misconception about the relative remoteness of abstract concepts from concrete experiences. This review examines the current evidence for external influences and internal constraints on the processing, representation, and use of abstract concepts, like truth, friendship, and number. We highlight the theoretical benefit of distinguishing between grounded and embodied cognition and then ask which roles do perception, action, language, and social interaction play in acquiring, representing and using abstract concepts. By reviewing several studies, we show that they are, against the accepted definition, not detached from perception and action. Focussing on magnitude-related concepts, we also discuss evidence for cultural influences on abstract knowledge and explore how internal processes such as inner speech, metacognition, and inner bodily signals (interoception) influence the acquisition and retrieval of abstract knowledge. Finally, we discuss some methodological developments. Specifically, we focus on the importance of studies that investigate the time course of conceptual processing and we argue that, because of the paramount role of sociality for abstract concepts, new methods are necessary to study concepts in interactive situations. We conclude that bodily, linguistic, and social constraints provide important theoretical limitations for our theories of conceptual knowledge.
Accurate and precise characterization of cirrus cloud geometrical and optical properties is essential for better constraining their radiative footprint. A lidar-based retrieval scheme is proposed here, with its performance assessed on fine spatio-temporal observations over the Arctic site of Ny-Alesund, Svalbard. Two contributions related to cirrus geometrical (dynamic Wavelet Covariance Transform (WCT)) and optical properties (constrained Klett) are reported. The dynamic WCT rendered cirrus detection more robust, especially for thin cirrus layers that frequently remained undetected by the classical WCT method. Regarding optical characterization, we developed an iterative scheme for determining the cirrus lidar ratio (LRci) that is a crucial parameter for aerosol - cloud discrimination. Building upon the Klett-Fernald method, the LRci was constrained by an additional reference value. In established methods, such as the double-ended Klett, an aerosol-free reference value is applied. In the proposed constrained Klett, however, the reference value was approximated from cloud-free or low cloud optical depth (COD up to 0.2) profiles and proved to agree with independent Raman estimates. For optically thin cirrus, the constrained Klett inherent uncertainties reached 50% (60-74%) in terms of COD (LRci). However, for opaque cirrus COD (LRci) uncertainties were lower than 10% (15%). The detection method discrepancies (dynamic versus static WCT) had a higher impact on the optical properties of low COD layers (up to 90%) compared to optically thicker ones (less than 10%). The constrained Klett presented high agreement with two established retrievals. For an exemplary cirrus cloud, the constrained Klett estimated the COD355 (LRci355) at 0.28 +/- 0.17 (29 +/- 4 sr), the double-ended Klett at 0.27 +/- 0.15 (32 +/- 4 sr) and the Raman retrievals at 0.22 +/- 0.12 (26 +/- 11 sr). Our approach to determine the necessary reference value can also be applied in established methods and increase their accuracy. In contrast, the classical aerosol-free assumption led to 44 sr LRci overestimation in optically thin layers and 2-8 sr in thicker ones. The multiple scattering effect was corrected using Eloranta (1998) and accounted for 50-60% extinction underestimation near the cloud base and 20-30% within the cirrus layers.
The metastable paragenesis of corundum and quartz is rare in nature but common in laboratory experiments where according to thermodynamic predictions aluminum-silicate polymorphs should form. We demonstrate here that the existence of a hydrous, silicon-bearing, nanometer-thick layer (called "HSNL") on the corundum surface can explain this metastability in experimental studies without invoking unspecific kinetic inhibition. We investigated experimentally formed corundum reaction products synthesized during hydrothermal and piston-cylinder experiments at 500-800 degrees C and 0.25-1.8 GPa and found that this HSNL formed inside and on the corundum crystals, thereby controlling the growth behavior of its host. The HSNL represents a substitution of Al with Si and H along the basal plane of corundum. Along the interface of corundum and quartz, the HSNL effectively isolates the bulk phases corundum and quartz from each other, thus apparently preventing their reaction to the stable aluminum silicate. High temperatures and prolonged experimental duration lead to recrystallization of corundum including the HSNL and to the formation of quartz + fluid inclusions inside the host crystal. This process reduces the phase boundary area between the bulk phases, thereby providing further opportunity to expand their coexistence. In addition to its small size, its transient nature makes it difficult to detect the HSNL in experiments and even more so in natural samples. Our findings emphasize the potential impact of nanometer-sized phases on geochemical reaction pathways and kinetics under metamorphic conditions in one of the most important chemical systems of the Earth's crust.
Glucosinolates are plant secondary metabolites found in cruciferous vegetables (Brassicaceae) that are valued for their potential health benefits. Frequently consumed representatives of these vegetables, for example, are white or red cabbage, which are typically boiled before consumption. Recently, 3-alk(en)yl-4-hydroxythiazolidine-2-thiones were identified as a class of thermal glucosinolate degradation products that are formed during the boiling of cabbage. Since these newly discovered compounds are frequently consumed, this raises questions about their potential uptake and their possible bioactive functions. Therefore, 3-allyl-4-hydroxythiazolidine-2-thione (allyl HTT) and 4-hydroxy-3-(4-(methylsulfinyl) butyl)thiazolidine-2-thione (4-MSOB HTT) as degradation products of the respective glucosinolates sinigrin and glucoraphanin were investigated. After consumption of boiled red cabbage broth, recoveries of consumed amounts of the degradation products in urine collected for 24 h were 18 +/- 5% for allyl HTT and 21 +/- 4% for 4-MSOB HTT (mean +/- SD, n = 3). To investigate the stability of the degradation products during uptake and to elucidate the uptake mechanism, both an in vitro stomach and an in vitro intestinal model were applied. The results indicate that the uptake of allyl HTT and 4-MSOB HTT occurs by passive diffusion. Both compounds show no acute cell toxicity, no antioxidant potential, and no change in NAD(P)H dehydrogenase quinone 1 (NQO1) activity up to 100 mu M. However, inhibition of glycogen synthase kinases-3 (GSK-3) in the range of 20% for allyl HTT for the isoform GSK-3 beta and 29% for 4-MSOB HTT for the isoform GSK-3 alpha at a concentration of 100 mu M was found. Neither health-promoting nor toxic effects of 3-alk(en)yl-4-hydroxythiazolidine-2-thiones were found in the four tested assays carried out in this study, which contrasts with the properties of other glucosinolate degradation products, such as isothiocyanates.
Despite its high-seismogenic potential, the details of the seismogenic processes of Zagros Simply Folded Belt (SFB) remains debated. Three large earthquakes (M-w 7.3, 5.9 and 6.3) struck in the Lurestan arc of the Zagros SFB in 2017 and 2018. The sequence was recorded by seismic stations at regional, and teleseismic distances. Coseismic surface displacements, measured by Sentinel-1A/B satellites, provide additional data and a unique opportunity to study these earthquakes in detail. Here, we complement previous studies of the coseismic slip distribution of the 12 November 2017 M-w 7.3 Ezgeleh earthquake by a detailed analysis of its aftershocks, and we analysed the rupture process of the two interrelated earthquakes (25 August 2018 M-w 5.9 Tazehabad and the 25 November 2018 M-w 6.3 Sarpol-e Zahab earthquakes). We model the surface displacements obtained from Interferometric Synthetic Aperture Radar (InSAR) measurements and seismic records. We conduct non-linear probabilistic optimizations based on joint InSAR and seismic data to obtain finite-fault rupture of these earthquakes. The Lurestan arc earthquakes were followed by a sustained aftershock activity, with 133 aftershocks exceeding M-n 4.0 until 30 December 2019. We rely on the permanent seismic networks of Iran and Iraq to relocate similar to 700 M-n 3 + events and estimate moment tensor solutions for 85 aftershocks down to M-w 4.0. The 2017 Ezgeleh earthquake has been considered to activate a low-angle (similar to 17 degrees) dextral-thrust fault at the depth of 10-20 km. However, most of its aftershocks have shallow centroid depths (8-12 km). The joint interpretation of finite source models, moment tensor and hypocentral location indicate that the 2018 Tazehabad and Sarpol-e Zahab earthquakes ruptured different strike-slip structures, providing evidence for the activation of the sinistral and dextral strike-slip faults, respectively. The deformation in the Lurestan arc is seismically accommodated by a complex fault system involving both thrust and strike-slip faults. Knowledge about the deformation characteristics is important for the understanding of crustal shortening, faulting and hazard and risk assessment in this region.
We present the analysis of Very Large Telescope Multi Unit Spectroscopic Explorer (MUSE) observations of the planetary nebula (PN) IC 4406. MUSE images in key emission lines are used to unveil the presence of at least five ring-like structures north and south of the main nebula of IC4406. MUSE spectra are extracted from the rings to unambiguously assess for the first time in a PN their physical conditions, electron density (n(e)), and temperature (T-e). The rings are found to have similar T-e as the rim of the main nebula, but smaller n(e). Ratios between different ionic species suggest that the rings of IC4406 have a lower ionization state than the main cavity, in contrast to what was suggested for the rings in NGC 6543, the Cat's Eye Nebula.
Objective:
We present a review of peer-reviewed English-language studies conducted outside the United States and Canada on the prevalence of sexual assault victimization in adolescence and adulthood published since 2010.
Method:
A systematic literature search yielded 32 articles reporting on 45 studies from 29 countries. Studies that only provided prevalence estimates for sexual assault in intimate relationships or did not present separate rates for men and women were excluded. All studies were coded by two coders, and a risk of bias score was calculated for each study. Both past-year and prevalence rates covering longer periods were extracted.
Results:
The largest number of studies came from Europe (n = 21), followed by Africa (n = 11), Asia, and Latin America (n = 6 each). One study came from the Middle East and no studies were found from Oceania. Across the 22 studies that reported past-year prevalence rates, figures ranged from 0% to 59.2% for women, 0.3% to 55.5% for men, and 1.5% to 18.2% for lesbian, gay, bisexual, and transgender (LGBT) samples. The average risk of bias score was 5.7 out of 10. Studies varied widely in methodology.
Conclusion:
Despite regional variation, most studies indicate that sexual assault is widespread. More sustained, systematic, and coordinated research efforts are needed to gauge the scale of sexual assault in different parts of the world and to develop prevention measures.
The release of greenhouse gases from the large organic carbon stock in permafrost deposits in the circumarctic regions may accelerate global warming upon thaw. The extent of this positive climate feedback is thought to be largely controlled by the microbial degradability of the organic matter preserved in these sediments. In addition, weathering and oxidation processes may release inorganic carbon preserved in permafrost sediments as CO2, which is generally not accounted for. We used C-13 and C-14 analysis and isotopic mass balances to differentiate and quantify organic and inorganic carbon released as CO2 in the field from an active retrogressive thaw slump of Pleistocene-age Yedoma and during a 1.5-years incubation experiment. The results reveal that the dominant source of the CO2 released from freshly thawed Yedoma exposed as thaw mound is Pleistocene-age organic matter (48-80%) and to a lesser extent modern organic substrate (3-34%). A significant portion of the CO2 originated from inorganic carbon in the Yedoma (17-26%). The mixing of young, active layer material with Yedoma at a site on the slump floor led to the preferential mineralization of this young organic carbon source. Admixtures of younger organic substrates in the Yedoma thaw mound were small and thus rapidly consumed as shown by lower contributions to the CO2 produced during few weeks of aerobic incubation at 4 degrees C corresponding to approximately one thaw season. Future CO2 fluxes from the freshly thawed Yedoma will contain higher proportions of ancient inorganic (22%) and organic carbon (61-78%) as suggested by the results at the end, after 1.5 years of incubation. The increasing contribution of inorganic carbon during the incubation is favored by the accumulation of organic acids from microbial organic matter degradation resulting in lower pH values and, in consequence, in inorganic carbon dissolution. Because part of the inorganic carbon pool is assumed to be of pedogenic origin, these emissions would ultimately not alter carbon budgets. The results of this study highlight the preferential degradation of younger organic substrates in freshly thawed Yedoma, if available, and a substantial release of CO2 from inorganic sources.
The 100 km wide Merida Andes extend from the Colombian/Venezuelan border to the Coastal Cordillera. The mountain chain and its associated major strike-slip fault systems in western Venezuela formed due to oblique convergence of the Caribbean with the South American Plates and the north-eastwards expulsion of the North Andean Block. Due to the limited knowledge of lithospheric structures related to the formation of the Merida Andes research projects have been developed to illuminate this zone with deep geophysical data. In this study, we present three-dimensional inversion of broadband magnetotelluric data, collected along a 240 km long profile crossing the Merida Andes and the Maracaibo and Barinas-Apure foreland basins. The distribution of the stations limits resolution of the model to off-profile features. Combining 3D inversion of synthetic data sets derived from 3D modelling with 3D inversion of measured data, we could derive a 10 to 15 km wide corridor with good lateral resolution to develop hypotheses about the origin of deep-reaching anomalies of high electrical conductivity. The Merida Andes appear generally as electrically resistive structures, separated by anomalies associated with the most important fault systems of the region, the Bocono and Valera faults. Sensitivity tests suggest that the Valera Fault reaches to depths of up to 12 km and the Bocono Fault to more than 35 km depth. Both structures are connected to a sizeable conductor located east of the profile at 12-15 km depth. We propose that the high conductivity associated with this off-profile conductor may be related to the detachment of the Trujillo Block. We also identified a conductive zone that correlates spatially with the location of a gravity low, possibly representing a SE tilt of the Maracaibo Triangular Block under the mountain chain to great depths (>30 km). The relevance of these tectonic blocks in our models at crustal depths seems to be consistent with proposed theories that describe the geodynamics of western Venezuela as dominated by floating blocks or orogens. Our results stress the importance of the Trujillo Block for the current tectonic evolution of western Venezuela and confirm the relevance of the Bocono Fault carrying deformation to the lower crust and upper mantle. The Barinas-Apure and the Maracaibo sedimentary basins are imaged as electrically conductive with depths of 4 to 5 km and 5 to 10 km, respectively. The Barinas-Apure basin is imaged as a simple 1D structure, in contrast to the Maracaibo Basin, where a series of conductive and resistive bodies could be related to active deformation causing the juxtaposition of older geological formations and younger basin sediments.
Urokinase-type plasminogen activator is widely discussed as a marker for cancer prognosis and diagnosis and as a target for cancer therapies. Together with its receptor, uPA plays an important role in tumorigenesis, tumor progression and metastasis. In the present study, systematic evolution of ligands by exponential enrichment (SELEX) was used to select single-stranded DNA aptamers targeting different forms of human uPA. Selected aptamers allowed the distinction between HMW-uPA and LMW-uPA, and therefore, presumably, have different binding regions. Here, uPAapt-02-FR showed highly affine binding with a K-D of 0.7 nM for HMW-uPA and 21 nM for LMW-uPA and was also able to bind to pro-uPA with a K-D of 14 nM. Furthermore, no cross-reactivity to mouse uPA or tissue-type plasminogen activator (tPA) was measured, demonstrating high specificity. Suppression of the catalytic activity of uPA and inhibition of uPAR-binding could be demonstrated through binding with different aptamers and several of their truncated variants. Since RNA aptamers are already known to inhibit uPA-uPAR binding and other pathological functions of the uPA system, these aptamers represent a novel, promising tool not only for detection of uPA but also for interfering with the pathological functions of the uPA system by additionally inhibiting uPA activity.
We tested whether a brief self-affirmation writing intervention protected against identity-threats (i.e., stereotyping and discrimination) for adolescents' school-related adjustment. The longitudinal study followed 639 adolescents in Germany (65% of immigrant descent, 50% female, M-age = 12.35 years, SDage = .69) from 7(th) grade (pre-intervention at T1, five to six months post-intervention at T2) to the end of 8(th) grade (one-year follow-up at T3). We tested for direct and moderated (by heritage group, discrimination, classroom cultural diversity climate) effects using regression and latent change models. The self-affirmation intervention did not promote grades or math competence. However, in the short-term and for adolescents of immigrant descent, the intervention prevented a downward trajectory in mastery reactions to academic challenges for those experiencing greater discrimination. Further, it protected against a decline in behavioral school engagement for those in positive classroom cultural diversity climates. In the long-term and for all adolescents, the intervention lessened an upward trajectory in disruptive behavior. Overall, the self-affirmation intervention benefited some aspects of school-related adjustment for adolescents of immigrant and non-immigrant descent. The intervention context is important, with classroom cultural diversity climate acting as a psychological affordance enhancing affirmation effects. Our study supports the ongoing call for theorizing and empirically testing student and context heterogeneity to better understand for whom and under which conditions this intervention may work.
The Altiplano-Puna plateau, in Central Andes, is the second-largest continental plateau on Earth, extending between 22 degrees and 27 degrees S at an average altitude of 4400 m. The Puna plateau has been formed in consequence of the subduction of the oceanic Nazca Plate beneath the continental South American plate, which has an average crustal thickness of 50 km at this location. A large seismicity cluster, the Jujuy cluster, is observed at depth of 150-250 km beneath the central region of the Puna plateau. The cluster is seismically very active, with hundreds of earthquakes reported and a peak magnitude MW 6.6 on 25th August 2006. The cluster is situated in one of three band of intermediate-depth focus seismicity, which extend parallel to the trench roughly North to South. It has been hypothesized that the Jujuy cluster could be a seismic nest, a compact seismogenic region characterized by a high stationary activity relative to its surroundings. In this study, we collected more than 40 years of data from different catalogs and proof that the cluster meets the three conditions of a seismic nest. Compared to other known intermediate depth nests at Hindu Kush (Afganisthan) or Bucaramanga (Colombia), the Jujuy nest presents an outstanding seismicity rate, with more than 100 M4+ earthquakes per year. We additionally performed a detailed analysis of the rupture process of some of the largest earthquakes in the nest, by means of moment tensor inversion and directivity analysis. We focused on the time period 2017-2018, where the seismic monitoring was the most extended. Our results show that earthquakes in the nest take place within the eastward subducting oceanic plate, but rupture along sub-horizontal planes dipping westward. We suggest that seismicity at Jujuy nest is controlled by dehydration processes, which are also responsible for the generation of fluids ascending to the crust beneath the Puna volcanic region. We use the rupture plane and nest geometry to provide a constraint to maximal expected magnitude, which we estimate as MW -6.7.
Purpose:
Soil erosion by water yields sediment to surface reservoirs, reducing their storage capacities, changing their geometry, and degrading water quality. Sediment reuse, i.e., fertilization of agricultural soils with the nutrient-enriched sediment from reservoirs, has been proposed as a recovery strategy. However, the sediment needs to meet certain criteria. In this study, we characterize sediments from the densely dammed semiarid Northeast Brazil by VNIR-SWIR spectroscopy and assess the effect of spectral resolution and spatial scale on the accuracy of N, P, K, C, electrical conductivity, and clay prediction models.
Methods
Sediment was collected in 10 empty reservoirs, and physical and chemical laboratory analyses as well as spectral measurements were performed. The spectra, initially measured at 1 nm spectral resolution, were resampled to 5 and 10 nm, and samples were analysed for both high and low spectral resolution at three spatial scales, namely (1) reservoir, (2) catchment, and (3) regional scale.
Results
Partial least square regressions performed from good to very good in the prediction of clay and electrical conductivity from reservoir (<40 km(2)) to regional (82,500 km(2)) scales. Models for C and N performed satisfactorily at the reservoir scale, but degraded to unsatisfactory at the other scales. Models for P and K were more unstable and performed from unsatisfactorily to satisfactorily at all scales. Coarsening spectral resolution by up to 10 nm only slightly degrades the models' performance, indicating the potential of characterizing sediment from spectral data captured at lower resolutions, such as by hyperspectral satellite sensors.
Conclusion:
By reducing the costly and time-consuming laboratory analyses, the method helps to promote the sediment reuse as a practice of soil and water conservation.
Local laws on urban policy, i.e., ordinances directly affect our daily life in various ways (health, business etc.), yet in practice, for many citizens they remain impervious and complex. This article focuses on an approach to make urban policy more accessible and comprehensible to the general public and to government officials, while also addressing pertinent social media postings. Due to the intricacies of the natural language, ranging from complex legalese in ordinances to informal lingo in tweets, it is practical to harness human judgment here. To this end, we mine ordinances and tweets via reasoning based on commonsense knowledge so as to better account for pragmatics and semantics in the text. Ours is pioneering work in ordinance mining, and thus there is no prior labeled training data available for learning. This gap is filled by commonsense knowledge, a prudent choice in situations involving a lack of adequate training data. The ordinance mining can be beneficial to the public in fathoming policies and to officials in assessing policy effectiveness based on public reactions. This work contributes to smart governance, leveraging transparency in governing processes via public involvement. We focus significantly on ordinances contributing to smart cities, hence an important goal is to assess how well an urban region heads towards a smart city as per its policies mapping with smart city characteristics, and the corresponding public satisfaction.
This special issue, "Concrete constraints of abstract concepts", addresses the role of concrete determinants, both external and internal to the human body, in acquisition, processing and use of abstract concepts while at the same time presenting to the readers an overview of methods used to assess their representation.
After a century of semi-restricted floodplain development, Southern Alberta, Canada, was struck by the devastating 2013 Flood. Aging infrastructure and limited property-level floodproofing likely contributed to the $4-6 billion (CAD) losses. Following this catastrophe, Alberta has seen a revival in flood management, largely focused on structural protections. However, concurrent with the recent structural work was a 100,000+ increase in Calgary's population in the 5 years following the flood, leading to further densification of high-hazard areas. This study implements the novel Stochastic Object-based Flood damage Dynamic Assessment (SOFDA) model framework to quantify the progression of the direct-damage flood risk in a mature urban neighborhood after the 2013 Flood. Five years of remote-sensing data, property assessment records, and inundation simulations following the flood are used to construct the model. Results show that in these 5 years, vulnerability trends (like densification) have increased flood risk by 4%; however, recent structural mitigation projects have reduced overall flood risk by 47% for this case study. These results demonstrate that the flood management revival in Southern Alberta has largely been successful at reducing flood risk; however, the gains are under threat from continued development and densification absent additional floodproofing regulations.
Background The Berlin Fat Mouse Inbred line (BFMI) is a model for obesity and the metabolic syndrome. This study aimed to identify genetic variants associated with impaired glucose metabolism using the obese lines BFMI861-S1 and BFMI861-S2, which are genetically closely related, but differ in several traits. BFMI861-S1 is insulin resistant and stores ectopic fat in the liver, whereas BFMI861-S2 is insulin sensitive. Methods In generation 10, 397 males of an advanced intercross line (AIL) BFMI861-S1 x BFMI861-S2 were challenged with a high-fat, high-carbohydrate diet and phenotyped over 25 weeks. QTL-analysis was performed after selective genotyping of 200 mice using the GigaMUGA Genotyping Array. Additional 197 males were genotyped for 7 top SNPs in QTL regions. For the prioritization of positional candidate genes whole genome sequencing and gene expression data of the parental lines were used. Results Overlapping QTL for gonadal adipose tissue weight and blood glucose concentration were detected on chromosome (Chr) 3 (95.8-100.1 Mb), and for gonadal adipose tissue weight, liver weight, and blood glucose concentration on Chr 17 (9.5-26.1 Mb). Causal modeling suggested for Chr 3-QTL direct effects on adipose tissue weight, but indirect effects on blood glucose concentration. Direct effects on adipose tissue weight, liver weight, and blood glucose concentration were suggested for Chr 17-QTL. Prioritized positional candidate genes for the identified QTL were Notch2 and Fmo5 (Chr 3) and Plg and Acat2 (Chr 17). Two additional QTL were detected for gonadal adipose tissue weight on Chr 15 (67.9-74.6 Mb) and for body weight on Chr 16 (3.9-21.4 Mb). Conclusions QTL mapping together with a detailed prioritization approach allowed us to identify candidate genes associated with traits of the metabolic syndrome. In addition, we provided evidence for direct and indirect genetic effects on blood glucose concentration in the insulin-resistant mouse line BFMI861-S1.
Biodegradation of polyester polyurethane by the marine fungus Cladosporium halotolerans 6UPA1
(2022)
Lack of degradability and the accumulation of polymeric wastes increase the risk for the health of the environment. Recently, recycling of polymeric waste materials becomes increasingly important as raw materials for polymer synthesis are in short supply due to the rise in price and supply chain disruptions. As an important polymer, polyurethane (PU) is widely used in modern life, therefore, PU biodegradation is desirable to avoid its accumulation in the environment. In this study, we isolated a fungal strain Cladosporium halotolerans from the deep sea which can grow in mineral medium with a polyester PU (Impranil DLN) as a sole carbon source. Further, we demonstrate that it can degrade up to 80% of Impranil PU after 3 days of incubation at 28 celcius by breaking the carbonyl groups (1732 cm(-1)) and C-N-H bonds (1532 cm(-1) and 1247 cm(-1)) as confirmed by Fourier-transform infrared (FTIR) spectroscopy analysis. Gas chromatography-mass spectrometry (GC-MS) analysis revealed polyols and alkanes as PU degradation intermediates, indicating the hydrolysis of ester and urethane bonds. Esterase and urease activities were detected in 7 days-old cultures with PU as a carbon source. Transcriptome analysis showed a number of extracellular protein genes coding for enzymes such as cutinase, lipase, peroxidase and hydrophobic surface binding proteins A (HsbA) were expressed when cultivated on Impranil PU. The yeast two-hybrid assay revealed that the hydrophobic surface binding protein ChHsbA1 directly interacts with inducible esterases, ChLip1 (lipase) and ChCut1 (cutinase). Further, the KEGG pathway for "fatty acid degradation " was significantly enriched in Impranil PU inducible genes, indicating that the fungus may use the degradation intermediates to generate energy via this pathway. Taken together, our data indicates secretion of both esterase and hydrophobic surface binding proteins by C. halotolerans plays an important role in Impranil PU absorption and subsequent degradation. Our study provides a mechanistic insight into Impranil PU biodegradation by deep sea fungi and provides the basis for future development of biotechnological PU recycling.
VLDB 2021
(2021)
The 47th International Conference on Very Large Databases (VLDB'21) was held on August 16-20, 2021 as a hybrid conference. It attracted 180 in-person attendees in Copenhagen and 840 remote attendees. In this paper, we describe our key decisions as general chairs and program committee chairs and share the lessons we learned.
FicucariconeD (1) and its 4 '-demethyl congener 2 are isoflavones isolated from fruits of Ficus carica that share a 5,7-dimethoxy-6-prenyl-substituted A-ring. Both naturalproducts were, for the first time, obtained by chemical synthesisin six steps, starting from 2,4,6-trihydroxyacetophenone. Key stepsare a microwave-promoted tandem sequence of Claisen- and Cope-rearrangementsto install the 6-prenyl substituent and a Suzuki-Miyaura crosscoupling for installing the B-ring. By using various boronic acids,non-natural analogues become conveniently available. All compoundswere tested for cytotoxicity against drug-sensitive and drug-resistanthuman leukemia cell lines, but were found to be inactive. The compoundswere also tested for antimicrobial activities against a panel of eightGram-negative and two Gram-positive bacterial strains. Addition ofthe efflux pump inhibitor phenylalanine-arginine-beta-naphthylamide(PA beta N) significantly improved the antibiotic activity in mostcases, with MIC values as low as 2.5 mu M and activity improvementfactors as high as 128-fold.
To systematically add functionality to nanoscale polymer switches, an understanding of their responsive behavior is crucial. Herein, solvent vapor stimuli are applied to thin films of a diblock copolymer consisting of a short poly(methyl methacrylate) (PMMA) block and a long poly(N-isopropylmethacrylamide) (PNIPMAM) block for realizing ternary nanoswitches. Three significantly distinct film states are successfully implemented by the combination of amphiphilicity and co-nonsolvency effect. The exposure of the thin films to nitrogen, pure water vapor, and mixed water/acetone (90 vol%/10 vol%) vapor switches the films from a dried to a hydrated (solvated and swollen) and a water/acetone-exchanged (solvated and contracted) equilibrium state. These three states have distinctly different film thicknesses and solvent contents, which act as switch positions "off," "on," and "standby." For understanding the switching process, time-of-flight neutron reflectometry (ToF-NR) and spectral reflectance (SR) studies of the swelling and dehydration process are complemented by information on the local solvation of functional groups probed with Fourier-transform infrared (FTIR) spectroscopy. An accelerated responsive behavior beyond a minimum hydration/solvation level is attributed to the fast build-up and depletion of the hydration shell of PNIPMAM, caused by its hydrophobic moieties promoting a cooperative hydration character.
Introduction:
Decision making results not only from logical analyses, but seems to be further guided by the ability to perceive somatic information (interoceptive accuracy). Relations between interoceptive accuracy and decision making have been exclusively studied in adults and with regard to complex, uncertain situations (as measured by the Iowa Gambling Task, IGT).
Methods:
In the present study, 1454 children (6-11 years) were examined at two time points (approximately 1 year apart) using an IGT as well as a delay-of-gratification task for sweets-items and toy-items. Interoceptive accuracy was measured using a child-adapted version of the Heartbeat Perception Task.
Results:
The present results revealed that children with higher, as compared to lower, interoceptive accuracy showed more advantageous choices in the IGT and delayed more sweets-items, but not toy-items, in a delay-of-gratification task at time point 2 but not at time point 1. However, no longitudinal relation between interoceptive accuracy and decision making 1 year later could be shown.
Discussion:
Results indicate that interoceptive accuracy relates to decision-making abilities in situations of varying complexity already in middle childhood, and that this link might consolidate across the examined 1-year period. Furthermore, the association of interoceptive accuracy and the delay of sweets-items might have implications for the regulation of body weight at a later age.
Reference values and validation of the 1-minute sit-to-stand test in healthy 5-16-year-old youth
(2021)
Objectives:
It is essential to have simple, reliable and valid tests to measure children's functional capacity in schools or medical practice. The 1-minute sit-to-stand (STS) test is a quick fitness test requiring little equipment or space that is increasingly used in both healthy populations and those with chronic disease. We aimed to provide age-specific and sex-specific reference values of STS test in healthy children and adolescents and to evaluate its short-term reliability and construct validity.
Design setting and participants:
Cross-sectional convenience sample from six public schools and one science fair in central Europe. Overall, 587 healthy participants aged 5-16 years were recruited and divided into age groups of 3 years each.
Outcomes:
1-minute STS. To evaluate short-term reliability, some children performed the STS test twice. To evaluate construct validity, some children also performed a standing long jump (SLJ) and a maximal incremental exercise test.
Results:
Data from 547 youth aged 5-16 years were finally included in the analyses. The median number of repetitions in 1 min in males (females) ranged from 55 [95% CI: 38 to 72] (53 [95% CI: 35 to 76]) in 14-16-year olds to 59 [95% CI: 41 to 77] (60 [95% CI: 38 to 77]) in 8-10-year olds. Children who repeated STS showed a learning effect of on average 4.8 repetitions more than the first test (95% limits of agreement: -6.7 to 16.4). Moderate correlations were observed between the STS and the SLJ (r=0.48) tests and the maximal exercise test (r=0.43).
Conclusions:
The reported STS reference values can be used to interpret STS test performance in children and adolescents. The STS appears to have good test- retest reliability, but a learning effect of about 10%. The association of STS with other measures of physical fitness should be further explored in a larger study and technical standards for its conduct are needed.
Urban surface runoff management via best management practices (BMP) and low impact development (LID) has earned significant recognition owing to positive environmental and ecological impacts. However, due to the complexity of the parameters involved, the estimation of LID efficiency in attenuating the urban surface runoff at the watershed scale is challenging. A planning analysis of employing Green Roofs and Infiltration Trenches as BMPs/LIDs practices for urban surface runoff control is presented in this study. A multi-objective optimization decision-making framework is established by coupling SWMM (Storm Water Management Model) with NSGA-II models to check the performance of BMPs/LIDs concerning the cost-benefit analysis of LID at the watershed scale. Two urbanized areas belonging to Central Delhi in India were used as case studies. The results showed that the SWMM model is useful in simulating optimization problems for managing urban surface runoff. The optimum scenarios efficiently minimized the urban runoff volume while maintaining the BMPs/LIDs implementation costs and size. With BMPs/LIDs implementation, the reduction in runoff volume increases as expenses increase initially; however, there is no noticeable reduction in flood volume after a certain threshold. Contrasted with the haphazard arrangement of BMPs/LIDs, the proposed approach demonstrates 22%-24% runoff reductions for the same expenditures in watershed 1 and 23%-26% in watershed 2. The result of the study provides insights into planning and management of the urban surface runoff control with LID practices. The proposed framework assists the hydrologists in optimum selection and placements of BMPs/LIDs practices to acquire the most extreme ecological advantages with the least expenses.
The current paradigm of cosmic-ray (CR) origin states that the greater part of galactic CRs is produced by supernova remnants. The interaction of supernova ejecta with the interstellar medium after a supernova's explosions results in shocks responsible for CR acceleration via diffusive shock acceleration (DSA). We use particle-in-cell (PIC) simulations and a combined PIC-magnetohydrodynamic (PIC-MHD) technique to investigate whether DSA can occur in oblique high Mach number shocks. Using the PIC method, we follow the formation of the shock and determine the fraction of the particles that gets involved in DSA. With this result, we use PIC-MHD simulations to model the large-scale structure of the plasma and the magnetic field surrounding the shock and find out whether or not the reflected particles can generate upstream turbulence and trigger DSA. We find that the feasibility of this process in oblique shocks depends strongly on the Alfvenic Mach number, and the DSA process is more likely to be triggered at high Mach number shocks.
Van Allen Probes measurements revealed the presence of the most unusual structures in the ultra-relativistic radiation belts. Detailed modeling, analysis of pitch angle distributions, analysis of the difference between relativistic and ultra-realistic electron evolution, along with theoretical studies of the scattering and wave growth, all indicate that electromagnetic ion cyclotron (EMIC) waves can produce a very efficient loss of the ultra-relativistic electrons in the heart of the radiation belts. Moreover, a detailed analysis of the profiles of phase space densities provides direct evidence for localized loss by EMIC waves. The evolution of multi-MeV fluxes shows dramatic and very sudden enhancements of electrons for selected storms. Analysis of phase space density profiles reveals that growing peaks at different values of the first invariant are formed at approximately the same radial distance from the Earth and show the sequential formation of the peaks from lower to higher energies, indicating that local energy diffusion is the dominant source of the acceleration from MeV to multi-MeV energies. Further simultaneous analysis of the background density and ultra-relativistic electron fluxes shows that the acceleration to multi-MeV energies only occurs when plasma density is significantly depleted outside of the plasmasphere, which is consistent with the modeling of acceleration due to chorus waves.
As a critical part of plant immunity, cells that are attacked by pathogens undergo rapid transcriptional reprogramming to minimize virulence. Many bacterial phytopathogens use type III effector (T3E) proteins to interfere with plant defense responses, including this transcriptional reprogramming. Here, we show that Xanthomonas outer protein S (XopS), a T3E of Xanthomonas campestris pv. vesicatoria (Xcv), interacts with and inhibits proteasomal degradation of WRKY40, a transcriptional regulator of defense gene expression. Virus-induced gene silencing of WRKY40 in pepper (Capsicum annuum) enhanced plant tolerance to Xcv infection, indicating that WRKY40 represses immunity. Stabilization of WRKY40 by XopS reduces the expression of its targets, which include salicylic acid-responsive genes and the jasmonic acid signaling repressor JAZ8. Xcv bacteria lacking XopS display significantly reduced virulence when surface inoculated onto susceptible pepper leaves. XopS delivery by Xcv, as well as ectopic expression of XopS in Arabidopsis thaliana or Nicotiana benthamiana, prevented stomatal closure in response to bacteria and biotic elicitors. Silencing WRKY40 in pepper or N. benthamiana abolished XopS's ability to prevent stomatal closure. This suggests that XopS interferes with both preinvasion and apoplastic defense by manipulating WRKY40 stability and downstream gene expression, eventually altering phytohormone crosstalk to promote pathogen proliferation.
We present two new empirical models of radiation belt electron flux at geostationary orbit. GOES-15 measurements of 0.8 MeV electrons were used to train a Nonlinear Autoregressive with Exogenous input (NARX) neural network for both modeling GOES-15 flux values and an upper boundary condition scaling factor (BF). The GOES-15 flux model utilizes an input and feedback delay of 2 and 2 time steps (i.e., 5 min time steps) with the most efficient number of hidden layers set to 10. Magnetic local time, Dst, Kp, solar wind dynamic pressure, AE, and solar wind velocity were found to perform as predicative indicators of GOES-15 flux and therefore were used as the exogenous inputs. The NARX-derived upper boundary condition scaling factor was used in conjunction with the Versatile Electron Radiation Belt (VERB) code to produce reconstructions of the radiation belts during the period of July-November 1990, independent of in-situ observations. Here, Kp was chosen as the sole exogenous input to be more compatible with the VERB code. This Combined Release and Radiation Effects Satellite-era reconstruction showcases the potential to use these neural network-derived boundary conditions as a method of hindcasting the historical radiation belts. This study serves as a companion paper to another recently published study on reconstructing the radiation belts during Solar Cycles 17-24 (Saikin et al., 2021, ), for which the results featured in this paper were used.
Regional flood frequency analysis (RFFA) is a powerful method for interrogating hydrological series since it combines observational time series from several sites within a region to estimate risk-relevant statistical parameters with higher accuracy than from single-site series. Since RFFA extreme value estimates depend on the shape of the selected distribution of the data-generating stochastic process, there is need for a suitable goodness-of-distributional-fit measure in order to optimally utilize given data. Here we present a novel, least-squares-based measure to select the optimal fit from a set of five distributions, namely Generalized Extreme Value (GEV), Generalized Logistic, Gumbel, Log-Normal Type III and Log-Pearson Type III. The fit metric is applied to annual maximum discharge series from six hydrological stations along the Sava River in South-eastern Europe, spanning the years 1961 to 2020. Results reveal that (1) the Sava River basin can be assessed as hydrologically homogeneous and (2) the GEV distribution provides typically the best fit. We offer hydrological-meteorological insights into the differences among the six stations. For the period studied, almost all stations exhibit statistically insignificant trends, which renders the conclusions about flood risk as relevant for hydrological sciences and the design of regional flood protection infrastructure.
Climate Benefits of Cleaner Energy Transitions in East and South Asia Through Black Carbon Reduction
(2022)
The state of air pollution has historically been tightly linked to how we produce and use energy. Air pollutant emissions over Asia are now changing rapidly due to cleaner energy transitions; however, magnitudes of benefits for climate and air quality remain poorly quantified. The associated risks involve adverse health impacts, reduced agricultural yields, reduced freshwater availability, contributions to climate change, and economic costs. We focus particularly on climate benefits of energy transitions by making first-time use of two decades of high quality observations of atmospheric loading of light-absorbing black carbon (BC) over Kanpur (South Asia) and Beijing (East Asia) and relating these observations to changing energy, emissions, and economic trends in India and China. Our analysis reveals that absorption aerosol optical depth (AAOD) due to BC has decreased substantially, by 40% over Kanpur and 60% over Beijing between 2001 and 2017, and thus became decoupled from regional economic growth. Furthermore, the resultant decrease in BC emissions and BC AAOD over Asia is regionally coherent and occurs primarily due to transitions into cleaner energies (both renewables and fossil fuels) and not due to the decrease in primary energy supply or decrease in use of fossil use and biofuels and waste. Model simulations show that BC aerosols alone contribute about half of the surface temperature change (warming) of the total forcing due to greenhouse gases, natural and internal variability, and aerosols, thus clearly revealing the climate benefits due to a reduction in BC emissions, which would significantly reduce global warming. However, this modeling study excludes responses from natural variability, circulation, and sea ice responses, which cause relatively strong temperature fluctuations that may mask signals from BC aerosols. Our findings show additional benefits for climate (beyond benefits of CO2 reduction) and for several other issues of sustainability over South and East Asia, provide motivation for ongoing cleaner energy production, and consumption transitions, especially when they are associated with reduced emissions of air pollutants. Such an analysis connecting the trends in energy transitions and aerosol absorption loading, unavailable so far, is crucial for simulating the aerosol climate impacts over Asia which is quite uncertain.
Enhancing higher entrepreneurship education: insights from practitioners for curriculum improvement
(2024)
Curricula for higher entrepreneurship education should meet the requirements of both a solid theoretical foundation and a practical orientation. When these curricula are designed by education specialists, entrepreneurs are usually not consulted. To explore practitioners’ curricular recommendations, we conducted 73 semi-structured interviews with entrepreneurs with at least five years of professional experience. We collected 49 items for teaching and learning objectives, 37 for contents, 28 for teaching methods, and 17 for assessment methods. The respondents are convinced that students should acquire solid knowledge in business and management, legal issues, and entrepreneurship. For the latter, only some core aspects are provided. The entrepreneurs put greater emphasis on entrepreneurial skills and attitudes and consider experiential learning designs as most suitable, both in the secure setting of the classroom and in real life. The findings can help reflect on current entrepreneurship curriculum designs.
The analysis of event time series is in general challenging. Most time series analysis tools are limited for the analysis of this kind of data. Recurrence analysis, a powerful concept from nonlinear time series analysis, provides several opportunities to work with event data and even for the most challenging task of comparing event time series with continuous time series. Here, the basic concept is introduced, the challenges are discussed, and the future perspectives are summarized.
A detailed investigation of the energy levels of perylene-3,4,9,10-tetracarboxylic tetraethylester as a representative compound for the whole family of perylene esters was performed. It was revealed via electrochemical measurements that one oxidation and two reductions take place. The bandgaps determined via the electrochemical approach are in good agreement with the optical bandgap obtained from the absorption spectra via a Tauc plot. In addition, absorption spectra in dependence of the electrochemical potential were the basis for extensive quantum-chemical calculations of the neutral, monoanionic, and dianionic molecules. For this purpose, calculations based on density functional theory were compared with post-Hartree-Fock methods and the CAM-B3LYP functional proved to be the most reliable choice for the calculation of absorption spectra. Furthermore, spectral features found experimentally could be reproduced with vibronic calculations and allowed to understand their origins. In particular, the two lowest energy absorption bands of the anion are not caused by absorption of two distinct electronic states, which might have been expected from vertical excitation calculations, but both states exhibit a strong vibronic progression resulting in contributions to both bands.
Invisible iterations: how formal and informal organization shape knowledge networks for coordination
(2024)
This study takes a network approach to investigate coordination among knowledge workers as grounded in both formal and informal organization. We first derive hypotheses regarding patterns of knowledge-sharing relationships by which workers pass on and exchange tacit and codified knowledge within and across organizational hierarchies to address the challenges that underpin contemporary knowledge work. We use survey data and apply exponential random graph models to test our hypotheses. We then extend the quantitative network analysis with insights from qualitative interviews and demonstrate that the identified knowledge-sharing patterns are the micro-foundational traces of collective coordination resulting from two underlying coordination mechanisms which we label ‘invisible iterations’ and ‘bringing in the big guns’. These mechanisms and, by extension, the associated knowledge-sharing patterns enable knowledge workers to perform in a setting that is characterized by complexity, uncertainty and ambiguity. Our research contributes to theory on the interplay between formal and informal organization for coordination by showing how self-directed, informal action is supported by the formal organizational hierarchy. In doing so, it also extends understanding of the role that hierarchy plays for knowledge-intensive work. Finally, it establishes the collective need to coordinate work as a previously overlooked driver of knowledge network relationships and network patterns. © 2024 The Authors. Journal of Management Studies published by Society for the Advancement of Management Studies and John Wiley & Sons Ltd.
We have analysed an archival XMM-Newton EPIC observation that serendipitously covered the sky position of a variable X-ray source AX J1714.1-3912, previously suggested to be a Supergiant Fast X-ray Transient (SFXT). During the XMM-Newton observation the source is variable on a timescale of hundred seconds and shows two luminosity states, with a flaring activity followed by unflared emission, with a variability amplitude of a factor of about 50. We have discovered an intense iron emission line with a centroid energy of 6.4 keV in the power law-like spectrum, modified by a large absorption (N-H similar to 10(24) cm(-2)), never observed before from this source. This X-ray spectrum is unusual for an SFXT, but resembles the so-called 'highly obscured sources', high mass X-ray binaries (HMXBs) hosting an evolved B[e] supergiant companion (sgB[e]). This might suggest that AX J1714.1-3912 is a new member of this rare type of HMXBs, which includes IGR J16318-4848 and CI Camelopardalis. Increasing this small population of sources would be remarkable, as they represent an interesting short transition evolutionary stage in the evolution of massive binaries. Nevertheless, AX J1714.1-3912 appears to share X-ray properties of both kinds of HMXBs (SFXT versus sgB[e] HMXB). Therefore, further investigations of the companion star are needed to disentangle the two hypothesis.
Even though the effects of insect pests on global agricultural productivity are well recognised, little is known about movement and dispersal of many species, especially in the context of global warming. This work evaluates how temperature and light conditions affect different movement metrics and the feeding rate of the large lupine beetle, an agricultural pest responsible for widespread damage in leguminous crops. By using video recordings, the movement of 384 beetles was digitally analysed under six different temperatures and light conditions in the laboratory. Bayesian linear mixed-effect models were used to analyse the data. Furthermore, the effects of temperature on the daily diffusion coefficient of beetles were estimated by using hidden Markov models and random walk simulations. Results of this work show that temperature, light conditions, and beetles' weight were the main factors affecting the flight probability, displacement, time being active and the speed of beetles. Significant variations were also observed in all evaluated metrics. On average, beetles exposed to light conditions and higher temperatures had higher mean speed and flight probability. However, beetles tended to stay more active at higher temperatures and less active at intermediate temperatures, around 20 degrees C. Therefore, both the diffusion coefficient and displacement of beetles were lower at intermediate temperatures. These results show that the movement behaviour and feeding rates of beetles can present different relationships in the function of temperature. It also shows that using a single diffusion coefficient for insects in spatially explicit models may lead to over- or underestimation of pest spread.
Vibrational relaxation of adsorbates is a sensitive tool to probe energy transfer at gas/solid and liquid/solid interfaces. The most direct way to study relaxation dynamics uses time-resolved spectroscopy. Here we report on a non-equilibrium ab initio molecular dynamics (NE-AIMD) methodology to model vibrational relaxation of OH vibrations on a hydroxylated, water-covered alpha-Al2O3(0001) surface. In our NE-AIMD approach, after exciting selected O-H bonds their coupling to surface phonons and to the water adlayer is analyzed in detail, by following both the energy flow in time, as well as the time-evolution of Vibrational Density of States (VDOS) curves. The latter are obtained from Time-dependent Correlation Functions (TCFs) and serve as prototypical, generic representatives of time-resolved vibrational spectra. As most important results, (i) we find a few-picosecond lifetime of the excited modes and (ii) identify both hydrogen-bonded aluminols and water molecules in the adsorbed water layer as main dissipative channels, while the direct coupling to Al2O3 surface phonons is of minor importance on the timescales of interest. Our NE-AIMD/TCF methodology is powerful for complex adsorbate systems, in principle even reacting ones, and opens a way towards time-resolved vibrational spectroscopy.
Phase equilibria that are relevant for the growth of Bi2MO4 have been studied experimentally, and the ternary phase diagrams of Bi2O3-PdO2-Pd and Bi2O3-Cu2O-CuO and its isopleth section Bi2O3-CuO were redetermined. It is shown that every melting and crystallization process is always accompanied by a redox process at the phase boundary and that for both title compounds, the valence of the transition metal is lowered during melting. Vice versa, during crystal growth, O-2 must be transported through the melt to the phase boundary. Based on these new insights provided by our thermodynamic studies, Bi2CuO4 single crystals with a length of up to 7 cm and a diameter of 6 mm were grown by the OFZ technique to be used for investigations of magnetic, electronic and thermal transport properties. The grown crystals were characterized by powder X-ray diffraction, Laue, magnetization and specific heat measurements.
Elucidation of the reaction mechanism for the synthesis of ZnGeN2 through Zn2GeO4 ammonolysis
(2021)
Ternary II-IV-N-2 materials have been considered as a promising class of materials that combine photovoltaic performance with earth-abundance and low toxicity. When switching from binary III-V materials to ternary II-IV-N-2 materials, further structural complexity is added to the system that may influence its optoelectronic properties. Herein, we present a systematic study of the reaction of Zn2GeO4 with NH3 that produces zinc germanium oxide nitrides, and ultimately approach stoichiometric ZnGeN2, using a combination of chemical analyses, X-ray powder diffraction and DFT calculations. Elucidating the reaction mechanism as being dominated by Zn and O extrusion at the later reaction stages, we give an insight into studying structure-property relationships in this emerging class of materials.
This study deals with the facile synthesis of Fe1-xS nanoparticle-containing nitrogen-doped porous carbon membranes (denoted as Fe1-xS/N-PCMs) via vacuum carbonization of hybrid porous poly(ionic liquid) (PIL) membranes, and their successful use as a sulfur host material to mitigate the shuttle effect in lithium-sulfur (Li-S) batteries. The hybrid porous PIL membranes as the sacrificial template were prepared via ionic crosslinking of a cationic PIL with base-neutralized 1,1 '-ferrocenedicarboxylic acid, so that the iron source was molecularly incorporated into the template. The carbonization process was investigated in detail at different temperatures, and the chemical and porous structures of the carbon products were comprehensively analyzed. The Fe1-xS/N-PCMs prepared at 900 degrees C have a multimodal pore size distribution with a satisfactorily high surface area and well-dispersed iron sulfide nanoparticles to physically and chemically confine the LiPSs. The sulfur/Fe1-xS/N-PCM composites were then tested as electrodes in Li-S batteries, showing much improved capacity, rate performance and cycle stability, in comparison to iron sulfide-free, nitrogen-doped porous carbon membranes.