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- partial clone (4)
- partial melting (4)
- participatory research (4)
- patterns (4)
- periodization (4)
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- bias (3)
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- comets: individual: 67P/Churyumov-Gerasimenko (3)
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- correlations (3)
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- effect (3)
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- ellipsometry (3)
- encoding (3)
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- expectation (3)
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- family (3)
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- federalism (3)
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- fertilization (3)
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- firm performance (3)
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- flood (3)
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- flow (3)
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- fluorescence microscopy (3)
- food choice (3)
- forestREplot (3)
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- framework (3)
- fruit (3)
- frustration (3)
- functional response (3)
- fundamental frequency (3)
- galaxies: fundamental parameters (3)
- garden-path effect (3)
- garnet (3)
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- gender inequality (3)
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- general (3)
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- impulsivity (3)
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- knowledge (3)
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- planets and satellites: individual (Saturn) (3)
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- point process (3)
- political ideology (3)
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- postural stability (3)
- preactivation (3)
- precuneus (3)
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- preferences (3)
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- psychometric properties (3)
- psychotherapy process (3)
- pubertal timing (3)
- publication bias (3)
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- pupillometry (3)
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- range shifts (3)
- ranking (3)
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- rearrangement (3)
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- scaling (3)
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- sensitivity analysis (3)
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- shape-memory polymer (3)
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- spin (3)
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- standards (3)
- starch granule surface (3)
- stars: (3)
- stars: coronae (3)
- stars: individual (WR 6) (3)
- stars: mass loss (3)
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- start-up subsidies (3)
- state (3)
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- subdiffusion (3)
- substance use (3)
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- survey (3)
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- Ökonomische Bildung (3)
- (Anti)aromaticity (2)
- ) (2)
- 2-deoxy-D-ribose-5-phoshphate aldolase (2)
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- App (2)
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- Ar-40/Ar-39 age (2)
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- Arctic haze (2)
- Arenesulfonamides (2)
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- Attribution (2)
- Aufklarung (2)
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- Augmentation (2)
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- Averroes (2)
- BDNF (2)
- BEMOVI (2)
- BIAT (2)
- BIM (2)
- BL Lacertae objects: individual (B2 1215+30, VER J1217+301) (2)
- BL Lacertae objects: individual (Mrk 501) (2)
- BL Lacertae objects: individual: Mrk 501 (2)
- Bacteriophage (2)
- Badlands (2)
- Bakterien (2)
- Bank Recovery and Resolution Directive (2)
- Barasona Reservoir (2)
- Barberton Greenstone Belt (2)
- Barents Sea (2)
- Barrier to ring inversion (2)
- Batch experiments (2)
- Batch processing (2)
- Bayesian estimation (2)
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- Beer (2)
- Behavior (2)
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- Belarus (2)
- Beratung (2)
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- Berufswahl (2)
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- Beta diversity (2)
- Bibliometrie (2)
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- Birds (2)
- Bis-MGD (2)
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- Blockchains (2)
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- Blueschist (2)
- Blumenberg (2)
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- Body height (2)
- Boltzmann distribution (2)
- Boolean model (2)
- Boosted regression trees (2)
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- Bose-Einstein condensation (2)
- Botanic gardens (2)
- Bottleneck (2)
- Boundary value problem (2)
- Brachionus (2)
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- Brain development (2)
- Brain-derived neurotrophic factor (BDNF) (2)
- Brassica napus (2)
- Breslau (2)
- Briefwechsel (2)
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- Major depressive disorder (2)
- Makran (2)
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- Markov model (2)
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- Mellin symbols with values in the edge calculus (2)
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- To learners in which of the following categories does your work apply (2)
- Todesstrafe (2)
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- Utopie, Dystopie, Hoffnung, Insel, Weltliteratur, (2)
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- iterative regularization (2)
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- job (2)
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- kinetic instabilities (2)
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- knickpoints (2)
- knowledge transfers (2)
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- labeling (2)
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- landscape homogenization (2)
- landscape structure (2)
- language and aging (2)
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- language change (2)
- language comprehension (2)
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- lanthanides (2)
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- latent profile analysis (2)
- leaf area (2)
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- legal change (2)
- leptin (2)
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- leucine zipper (2)
- lexical decision (2)
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- mammals (2)
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- mantle transition zone (2)
- manufacturing (2)
- margins of error (2)
- marine governance (2)
- marine terraces (2)
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- marriage (2)
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- matching (2)
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- mechanical tendinous oscillations (2)
- mechanistic models (2)
- mediation (2)
- medicine (2)
- membrane proteins (2)
- memory and delay (2)
- mental imagery (2)
- mesocosm (2)
- metaanalysis (2)
- metabolic disease (2)
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- metadata (2)
- metagenomics (2)
- metal coordination (2)
- metal-organic frameworks (2)
- metamorphosis of international law (2)
- metaphor (2)
- meteorological extremes (2)
- method comparison (2)
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- methods: statistical (2)
- methyl orange (2)
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- methylmercury (2)
- miRNAs (2)
- mica (2)
- micelles (2)
- micro-CT (2)
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- microemulsion (2)
- microgel (2)
- micronutrients (2)
- microtubule-organization (2)
- mid-temperature transition (2)
- migrants (2)
- mild cognitive impairment (2)
- military culture (2)
- minimal pairs (2)
- minimax convergence rates (2)
- minorities (2)
- mirror (2)
- mirror illusion (2)
- mirror therapy (2)
- miscellaneous (2)
- miscibility gap (2)
- missing-VP effect (2)
- mitochondrial dysfunction (2)
- mitochondrial function (2)
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- mitogenomes (2)
- mixtures (2)
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- modal verbs (2)
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- model verification (2)
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- modified Mannich reaction (2)
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- molecules (2)
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- moment tensor (2)
- monolayer formation (2)
- monomer (2)
- monomers (2)
- morpho-orthography (2)
- morphogenesis (2)
- morphological analysis (2)
- morphological decomposition (2)
- morphological priming (2)
- morphologically complex words (2)
- morphosyntax (2)
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- motivation in mathematics (2)
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- mowing (2)
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- multiple (2)
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- music industry (2)
- music information retrieval (2)
- music perception (2)
- mutants (2)
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- n-Alkanes (2)
- naming (2)
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- neutrality (2)
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- nitrile (2)
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- nutrient stoichiometry (2)
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- oarsmen (2)
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- observation (2)
- occlusion (2)
- ocean acidification (2)
- ocean color remote sensing (2)
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- older adults (2)
- older persons (2)
- oligodepsipeptides (2)
- omega-3 fatty acids (2)
- omics (2)
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- operator-valued symbols (2)
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- optical imaging (2)
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- optics (2)
- orbifolds (2)
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- orchestration (2)
- organ growth (2)
- organic carbon (2)
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- organization theory (2)
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- origins (2)
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- osmotic-pressure (2)
- osteoblast (2)
- other-race effect (2)
- outbreak (2)
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- output analysis (2)
- overland flow (2)
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- oxygen plasma (2)
- oxygenation (2)
- p-Aminophenol (2)
- pH-responsive (2)
- pQCT (2)
- palaeoenvironmental proxies (2)
- palaeoenvironmental reconstruction (2)
- paleo-sediment (2)
- paleoecology (2)
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- palmitoylation (2)
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- parameterized complexity (2)
- parameters (2)
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- parchment (2)
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- partial least squares (2)
- particle filter (2)
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- partnership trajectories (2)
- party competition (2)
- pasture (2)
- pathway (2)
- pathways (2)
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- pea (2)
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- peacebuilding (2)
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- peak height velocity (2)
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- peer influences (2)
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- pension insurance (2)
- peptide (2)
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- perception of robots (2)
- perceptual reorganization (2)
- performance assessment (2)
- performance budget (2)
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- performance measurement (2)
- periphyton (2)
- permafrost thaw (2)
- permittivity enhancement (2)
- permutation entropy (2)
- perovskite solar cell (2)
- person (2)
- personality change (2)
- personality traits (2)
- personhood (2)
- perspective taking (2)
- persulfide (2)
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- phagocytosis (2)
- phase behavior (2)
- phase dynamics (2)
- phase morphology (2)
- phenolic compounds (2)
- phenology (2)
- phenomics (2)
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- phosphatidylserine (2)
- phosphoglucan (2)
- phospholipids (2)
- phosphoproteomics (2)
- phosphorylase (2)
- phosphorylation (2)
- photo-isomerization (2)
- photochromism (2)
- photoelectron (2)
- photogrammetry (2)
- photoisomerization (2)
- photoluminescence quenching (2)
- photon density wave spectroscopy (2)
- photonic crystals (2)
- photosensitive surfactants (2)
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- photosynthetic rate (2)
- phreeqc (2)
- phylogenomics (2)
- physical conditioning human (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: gaseous planets (2)
- planets and satellites: general (2)
- plant architecture (2)
- plant cell wall (2)
- plant drinks (2)
- plant invasions (2)
- plant species richness (2)
- plant volatiles (2)
- plant-soil (belowground) interactions (2)
- plants (2)
- plasma instabilities (2)
- plasmaspheric hiss (2)
- plastid transformation (2)
- plateau (2)
- platform innovation (2)
- platinum (2)
- plausibility (2)
- playa (2)
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- plyometric exercise (2)
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- polarity (2)
- policy advice (2)
- policy analysis (2)
- policy reform (2)
- policy-making (2)
- political philosophy (2)
- politics (2)
- politische Ideologie (2)
- pollination (2)
- pollinator shift (2)
- poly(epsilon-caprolactone) (2)
- polyadenylation (2)
- polyampholytes (2)
- polyelectrolytes (2)
- polyester (2)
- polyesterurethanes (2)
- polymersomes (2)
- polypropylene (2)
- polysemy (2)
- polystyrene-block-poly(4-vinylpyridine) (2)
- population cycles (2)
- population genetics (2)
- population growth rate (2)
- population size (2)
- population structure (2)
- pore pressure (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)
- pre-activity (2)
- pre-natal (2)
- pre-school (2)
- pre-service teachers (2)
- precaution (2)
- precision agriculture (2)
- predation risk (2)
- predator (2)
- predictability (2)
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- predictive coding (2)
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- predictors (2)
- preference (2)
- preference assessment (2)
- preferential flow (2)
- prefixes (2)
- preprocessing (2)
- presidentialism (2)
- pressures (2)
- prestige (2)
- presupposition (2)
- prevalence information (2)
- price of anarchy (2)
- printing (2)
- prior knowledge (2)
- privatization (2)
- proactive personality (2)
- proactive work behavior (2)
- probability (2)
- probability density function (2)
- problem (2)
- problem-solving (2)
- problems (2)
- process (2)
- process analytical technology (2)
- process mining (2)
- process modeling (2)
- process modelling (2)
- process tracing (2)
- process-based model (2)
- processes (2)
- product generation engineering (2)
- production planning (2)
- professional (2)
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- proliferation (2)
- property rights (2)
- prosocial (2)
- prosodic cues (2)
- prosody processing (2)
- prospective (2)
- prostaglandins (2)
- protection motivation theory (2)
- protective factors (2)
- protein carbonyls (2)
- protein engineering (2)
- protein restriction (2)
- protein search (2)
- protein translocation (2)
- protein-protein (2)
- proteomic analysis (2)
- proteostasis (2)
- protest (2)
- protonation (2)
- prototype-willingness-model (2)
- provenance (2)
- psychische Störungen (2)
- psycho-oncology (2)
- psychological detachment (2)
- psychological distress (2)
- psychological problems (2)
- psychological well-being (2)
- psychologinguistics (2)
- psychopathy (2)
- psychophysics (2)
- psychopower (2)
- psychosocial moderators (2)
- psychotherapeutic competencies (2)
- puberty (2)
- public (2)
- public good (2)
- public management (2)
- public policy (2)
- public sector reform (2)
- pulling isometric muscle action (PIMA) (2)
- pulsars: individual: PSR B0833-45 (2)
- purification (2)
- qualitative content analysis (2)
- quantum (2)
- quantum field theory (2)
- quartz crystal microbalance (2)
- quasi-Fermi level splitting (2)
- quenched energy landscape (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)
- radiography (2)
- radiosensitizers (2)
- rainfall (2)
- rainfall gradient (2)
- random diffusivity (2)
- random matrix theory (2)
- random number generation (2)
- random-walks (2)
- randomized controlled trial (2)
- range dynamics (2)
- range of motion (2)
- range size (2)
- rank (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)
- reciprocal teaching (2)
- recollection (2)
- recollimation shocks (2)
- recombinant inbred line (2)
- recombination order (2)
- record (2)
- record linkage (2)
- recreational sport (2)
- recruitment (2)
- redox homeostasis (2)
- redox polymers (2)
- redox processes (2)
- redox state (2)
- reduction (2)
- reed (2)
- referential choice (2)
- referential coding (2)
- refinement (2)
- reflexives (2)
- reforms (2)
- refugee (2)
- refugee crisis (2)
- refugee youth (2)
- regional development (2)
- regionalisation (2)
- regularity (2)
- regulations (2)
- regulatory T cells (2)
- reinforcement (2)
- reionization (2)
- relations (2)
- relationship (2)
- relationship constellations (2)
- relaxation (2)
- relaxor-ferroelectric polymer (2)
- remission (2)
- remote teaching (2)
- renormalization Hopf algebra (2)
- replacement (2)
- repository far-field (2)
- representation learning (2)
- reproducing kernel Hilbert space (2)
- reproductive strategies (2)
- reproductive success (2)
- resampling (2)
- research challenges (2)
- research data management (2)
- research framework (2)
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- reservoir characterization (2)
- resetting (2)
- resolution infrared-spectroscopy (2)
- resonance energy transfer (2)
- resonances (2)
- resource allocation (2)
- resource selection (2)
- restricted range (2)
- resurrection plants (2)
- retrogressive thaw slumps (2)
- retrospective (2)
- reversible measure (2)
- reward anticipation (2)
- rewards (2)
- rhizosphere (2)
- rhythm (2)
- ribosome assembly (2)
- rifting (2)
- ring current (2)
- ring current electrons (2)
- risk aversion (2)
- risk communication (2)
- risk governance (2)
- risk management cycle (2)
- risk perceptions (2)
- risk-factors (2)
- risks (2)
- river erosion (2)
- river floods (2)
- river networks (2)
- rock (2)
- rock glacier (2)
- role-play (2)
- rolling averages (2)
- root water uptake (2)
- rotational diffusion (2)
- rotifer (2)
- rules (2)
- runners (2)
- running (2)
- running mechanics (2)
- rupturing of metal film (2)
- réchauffement planétaire (2)
- sACC (2)
- salamanders (2)
- salience (2)
- saliency (2)
- salinity (2)
- salinization (2)
- salivary alpha-amylase (2)
- salivary gland (2)
- salt (2)
- salt pan (2)
- salt structures (2)
- sample preparation (2)
- sarcopenia (2)
- satellite data (2)
- satisfaction (2)
- scaffolding (2)
- scalability (2)
- scale-dependence (2)
- scanning tunneling microscopy (2)
- scene perception (2)
- school mathematics (2)
- school quality (2)
- science (2)
- science mapping (2)
- scientific image (2)
- scrambling (2)
- sea level (2)
- sea level rise (2)
- second chambers (2)
- second language processing (2)
- secondary prevention (2)
- secular changes (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)
- segmentation (2)
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Institute
- Institut für Biochemie und Biologie (4682)
- Institut für Physik und Astronomie (4655)
- Institut für Geowissenschaften (3081)
- Institut für Chemie (2905)
- Wirtschaftswissenschaften (2060)
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- Historisches Institut (1965)
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Die Macht der Sonntagsfrage
(2023)
Für das Jahr 2024 sind entscheidende Wahlen geplant – unter ihnen die
US-Präsidentschaftswahl und die Wahlen zum Europäischen Parlament. In
Deutschland werden in Brandenburg, Sachsen und Thüringen die Landtage
gewählt. Wahlumfragen, insbesondere die Sonntagsfrage, sind zu einem
integralen Bestandteil von Wahlkämpfen geworden; gleichzeitig steht auch
deren Zuverlässigkeit im Zentrum medialer Aufmerksamkeit. Eine Debatte über
die Kommunikation und Darstellung von Meinungsumfragen ist in Deutschland
dringend notwendig. Eine bindende Selbstverpflichtung der Umfrageinstitute und
Medienhäuser wäre eine vielversprechende Lösung.
Satellite-measured tidal magnetic signals are of growing importance. These fields are mainly used to infer Earth's mantle conductivity, but also to derive changes in the oceanic heat content. We present a new Kalman filter-based method to derive tidal magnetic fields from satellite magnetometers: KALMAG. The method's advantage is that it allows to study a precisely estimated posterior error covariance matrix. We present the results of a simultaneous estimation of the magnetic signals of 8 major tides from 17 years of Swarm and CHAMP data. For the first time, robustly derived posterior error distributions are reported along with the reported tidal magnetic fields. The results are compared to other estimates that are either based on numerical forward models or on satellite inversions of the same data. For all comparisons, maximal differences and the corresponding globally averaged RMSE are reported. We found that the inter-product differences are comparable with the KALMAG-based errors only in a global mean sense. Here, all approaches give values of the same order, e.g., 0.09 nT-0.14 nT for M2. Locally, the KALMAG posterior errors are up to one order smaller than the inter-product differences, e.g., 0.12 nT vs. 0.96 nT for M2.
Planned decommissioning of coal-fired plants in Europe requires innovative technical and economic strategies to support coal regions on their path towards a climate-resilient future. The repurposing of open pit mines into hybrid pumped hydro power storage (HPHS) of excess energy from the electric grid, and renewable sources will contribute to the EU Green Deal, increase the economic value, stabilize the regional job market and contribute to the EU energy supply security. This study aims to present a preliminary phase of a geospatial workflow used to evaluate land suitability by implementing a multi-criteria decision making (MCDM) technique with an advanced geographic information system (GIS) in the context of an interdisciplinary feasibility study on HPHS in the Kardia lignite open pit mine (Western Macedonia, Greece). The introduced geospatial analysis is based on the utilization of the constraints and ranking criteria within the boundaries of the abandoned mine regarding specific topographic and proximity criteria. The applied criteria were selected from the literature, while for their weights, the experts' judgement was introduced by implementing the analytic hierarchy process (AHP), in the framework of the ATLANTIS research program. According to the results, seven regions were recognized as suitable, with a potential energy storage capacity from 1.09 to 5.16 GWh. Particularly, the present study's results reveal that 9.27% (212,884 m(2)) of the area had a very low suitability, 15.83% (363,599 m(2)) had a low suitability, 23.99% (550,998 m(2)) had a moderate suitability, 24.99% (573,813 m(2)) had a high suitability, and 25.92% (595,125 m(2)) had a very high suitability for the construction of the upper reservoir. The proposed semi-automatic geospatial workflow introduces an innovative tool that can be applied to open pit mines globally to identify the optimum design for an HPHS system depending on the existing lower reservoir.
Infection is a common and often deadly complication after burn injury. A major underlying factor is burn-induced immune dysfunction, particularly with respect to neutrophils as the primary responders to infection. Temporally after murine scald injury, we demonstrate impaired bone marrow neutrophil chemotaxis toward CXCL1 ex vivo. Additionally, we observed a reduced recruitment of neutrophils to the peritoneal after elicitation 7 days after injury. We demonstrate that neutrophil ceramide levels increase after burn injury, and this is associated with decreased expression of CXCR2 and blunted chemotaxis. A major signaling event upon CXCR2 activation is Akt phosphorylation and this was reduced when ceramide was elevated. In contrast, PTEN levels were elevated and PTEN-inhibition elevated phospho-Akt levels and mitigated the burn-induced neutrophil chemotaxis defect. Altogether, this study identifies a newly described pathway of ceramide-mediated suppression of neutrophil chemotaxis after burn injury and introduces potential targets to mitigate this defect and reduce infection-related morbidity and mortality after burn.
Full-length transcriptome
(2021)
Fish is considered as a supreme model for clarifying the evolution and regulatory mechanism of vertebrate immunity. However, the knowledge of distinct immune cell populations in fish is still limited, and further development of techniques advancing the identification of fish immune cell populations and their functions are required. Single cell RNA-seq (scRNA-seq) has provided a new approach for effective in-depth identification and characterization of cell subpopulations. Current approaches for scRNA-seq data analysis usually rely on comparison with a reference genome and hence are not suited for samples without any reference genome, which is currently very common in fish research. Here, we present an alternative, i.e. scRNA-seq data analysis with a full-length transcriptome as a reference, and evaluate this approach on samples from Epinephelus coioides-a teleost without any published genome. We show that it reconstructs well most of the present transcripts in the scRNA-seq data achieving a sensitivity equivalent to approaches relying on genome alignments of related species. Based on cell heterogeneity and known markers, we characterized four cell types: T cells, B cells, monocytes/macrophages (Mo/M phi) and NCC (non-specific cytotoxic cells). Further analysis indicated the presence of two subsets of Mo/M phi including M1 and M2 type, as well as four subsets in B cells, i.e. mature B cells, immature B cells, pre B cells and early-pre B cells. Our research will provide new clues for understanding biological characteristics, development and function of immune cell populations of teleost. Furthermore, our approach provides a reliable alternative for scRNA-seq data analysis in teleost for which no reference genome is currently available.
Neutrons on rails
(2021)
Large-scale measurements of the spatial distribution of water content in soils and snow are challenging for state-of-the-art hydrogeophysical methods. Cosmic-ray neutron sensing (CRNS) is a noninvasive technology that has the potential to bridge the scale gap between conventional in situ sensors and remote sensing products in both, horizontal and vertical domains. In this study, we explore the feasibility and potential of estimating water content in soils and snow with neutron detectors in moving trains. Theoretical considerations quantify the stochastic measurement uncertainty as a function of water content, altitude, resolution, and detector efficiency. Numerical experiments demonstrate that the sensitivity of measured water content is almost unperturbed by train materials. Finally, three distinct real-world experiments provide a proof of concept on short and long-range tracks. With our results a transregional observational soil moisture product becomes a realistic vision within the next years.
Teaching quality is a key factor in student academic success, but few studies have investigated how teaching quality changes at the beginning of secondary education and how such changes are predicted by dimensions of teacher motivation. This study investigated the changes in class-level student perceptions of teaching quality over one school year at the beginning of secondary school and examined how teachers? self-efficacy and enthusiasm predicted such changes. Data from 1996 students (53.8% male; mean age: 11.09 years, SD = 0.55) and their homeroom teachers (N = 105), who were surveyed at the beginning of Grades 5 and 6, were analyzed. Results showed a significant decline in class-level student-perceived emotional support, classroom management, and instructional clarity. Teacher-reported self-efficacy was not significantly related to changes in teaching quality. Teacher-reported enthusiasm buffered the decline in students? class-level classroom management.
Objective
Problem-drinking among university students is common and poses serious health-related risks. Therefore, identifying and addressing associated factors is important.
Participants and methods
A large cross-sectional online-survey with 12,914 university students from Berlin was conducted from November 2016 to August 2017. Relative-risk- and correlation-analysis was used to identify factors associated with problem-drinking and regular heavy-drinking. Independent t-tests compared impulsivity and personality traits, chi-square-tests compared drinking motives between risk- and non-risk-drinkers.
Results
Male gender, tobacco-smoking, illegal substance use, impulsivity and various sociodemographic and psychosocial variables were significantly related to problem/heavy-drinking. Extraversion was a risk, conscientiousness and agreeableness were protective factors. Drinking-motives did not differ significantly between risk- and non-risk-drinkers. Generally, the main drinking-motives were to feel elated, relax and social purposes.
Conclusion
The identified markers and related problem behaviors may serve as a tool to enhance the identification of student subgroups at risk for problem/heavy-drinking, and hence improve targeted health-intervention-programs.
Objectives To compare image quality of deep learning reconstruction (AiCE) for radiomics feature extraction with filtered back projection (FBP), hybrid iterative reconstruction (AIDR 3D), and model-based iterative reconstruction (FIRST). Methods Effects of image reconstruction on radiomics features were investigated using a phantom that realistically mimicked a 65-year-old patient's abdomen with hepatic metastases. The phantom was scanned at 18 doses from 0.2 to 4 mGy, with 20 repeated scans per dose. Images were reconstructed with FBP, AIDR 3D, FIRST, and AiCE. Ninety-three radiomics features were extracted from 24 regions of interest, which were evenly distributed across three tissue classes: normal liver, metastatic core, and metastatic rim. Features were analyzed in terms of their consistent characterization of tissues within the same image (intraclass correlation coefficient >= 0.75), discriminative power (Kruskal-Wallis test p value < 0.05), and repeatability (overall concordance correlation coefficient >= 0.75). Results The median fraction of consistent features across all doses was 6%, 8%, 6%, and 22% with FBP, AIDR 3D, FIRST, and AiCE, respectively. Adequate discriminative power was achieved by 48%, 82%, 84%, and 92% of features, and 52%, 20%, 17%, and 39% of features were repeatable, respectively. Only 5% of features combined consistency, discriminative power, and repeatability with FBP, AIDR 3D, and FIRST versus 13% with AiCE at doses above 1 mGy and 17% at doses >= 3 mGy. AiCE was the only reconstruction technique that enabled extraction of higher-order features. Conclusions AiCE more than doubled the yield of radiomics features at doses typically used clinically. Inconsistent tissue characterization within CT images contributes significantly to the poor stability of radiomics features.
Applications of advanced cathode materials with well-designed chemical components and/or optimized nanostructures promoting the sulfur redox kinetics and suppressing the shuttle effect of polysulfides are highly valued. However, in the case of actual lithium-sulfur (Li-S) batteries under practical working conditions, one long-term obstacle still exists, which is mainly due to the difficulties in massive synthesis of such nanomaterials with low cost and ease of control on the nanostructure. Herein, we develop a facile synthesis of carbon coated Ti4O7 hollow nanoparticles (Ti4O7) using spherical polymer electrolyte brush as soft template, which is scalable via utilizing a minipilot reactor. The C Ti4O7 hollow nanoparticles provide strong chemical adsorption to polysulfides through the large polar surface and additional physical confinement by rich micro- & mesopores and have successfully been employed as an efficient sulfur host for multilayer pouch cells. Besides, the sluggish kinetics of the sulfur and lithium sulfide redox mechanism can be improved by the highly conductive Ti4O7 via catalyzation of the conversion of polysulfides. Consequently, the C-Ti4O7 based pouch cell endows a high discharge capacity of 1003 mAhg(-1) at 0.05 C, a high-capacity retention of 83.7% after 100 cycles at 0.1 C, and a high Coulombic efficiency of 97.5% at the 100th cycle. This work proposes an effective approach to transfer the synthesis of hollow Ti4O7 nanoparticles from lab- to large-scale production, paving the way to explore a wide range of advanced nanomaterials for multilayer Li-S pouch cells.
Immense uncertainty and the need for drastic interventions cause politicians to rely heavily on scientific advice for underpinning or legitimating their COVID-19 decision-making. This paper explores the role of scientific advice in this policy field in Germany, Italy, the Netherlands and the UK. It shows that scientific advice is based on the disciplinary, mainly medical, backgrounds of advisors but is also influenced by social and economic values, which are core to what politicians find important. During the pandemic a growing gap between scientific advice and political decisions is observed.
Werner Krause and Christina Gahn argue that we need to pay more attention to how the media communicates the results of opinion polls to the public. Reporting methodological details, such as margins of error, can alter citizens’ vote choices on election day. This has important implications for elections around the world
We report generation of ultra-broadband longitudinal acoustic coherent phonon wavepackets in SrTiO3 (STO) with frequency components extending throughout the first Brillouin zone. The wavepackets are efficiently generated in STO using femtosecond infrared laser excitation of an atomically flat 1.6 nm-thick epitaxial SrRuO3 film. We use femtosecond x-ray diffraction at the European X-Ray Free Electron Laser Facility to study the dispersion and damping of phonon wavepackets. The experimentally determined damping constants for multi-THz frequency phonons compare favorably to the extrapolation of a simple ultrasound damping model over several orders of magnitude.
The impact of civilian harm on strategic outcomes in war has been the subject of persistent debate. However, the literature has primarily focused on civilian casualties, thereby overlooking the targeting of civilian infrastructure, which is a recurrent phenomenon during war. This study fills this gap by examining the targeting of healthcare, one of the most indispensable infrastructures during war and peace time. We contend that attacks on medical facilities are distinct from direct violence against civilians. Because they are typically unrelated to military dynamics, the targeting of hospitals is a highly visible form and powerful signal of civilian victimization. To assess its effects, we analyze newly collected data on such attacks by pro-government forces and event data on combat activities in Northwest Syria (2017-2020). Applying a new approach for panel data analysis that combines matching methods with a difference-in-differences estimation, we examine the causal effect of counterinsurgent bombings on subsequent violent events. Distinguishing between regime-initiated and insurgent-initiated combat activities and their associated fatalities, we find that the targeting of hospitals increases insurgent violence. We supplement the quantitative analysis with unique qualitative evidence derived from interviews, which demonstrates that hospital bombings induce rebels to resist more fiercely through two mechanisms: intrinsic motivations and civilian pressure. The results have important implications for the effects of state-led violence and the strength of legal norms that protect noncombatants.
We address the effect of stochastic resetting on diffusion and subdiffusion process. For diffusion we find that mean square displacement relaxes to a constant only when the distribution of reset times possess finite mean and variance. In this case, the leading order contribution to the probability density function (PDF) of a Gaussian propagator under resetting exhibits a cusp independent of the specific details of the reset time distribution. For subdiffusion we derive the PDF in Laplace space for arbitrary resetting protocol. Resetting at constant rate allows evaluation of the PDF in terms of H function. We analyze the steady state and derive the rate function governing the relaxation behavior. For a subdiffusive process the steady state could exist even if the distribution of reset times possesses only finite mean.
There has been little research attention given to how Gay-Straight Alliances might mitigate mental health consequences associated with experiencing homophobic cyberbullying. To address this gap in knowledge, the purpose of this one-year longitudinal study was to investigate the moderating effect of perceived social support from Gay-Straight Alliances in the relationships among homophobic cyberbullying victimization and bystanding and depressive and anxiety symptoms among 466 LGBTQIA adolescents (M-age = 15.76; 52% female). The findings revealed that perceived social support was related negatively to homophobic cyberbullying involvement and depressive and anxiety symptoms. Homophobic cyberbullying involvement was related positively to depressive and anxiety symptoms. High perceived social support buffered against the depressive and anxiety symptoms resulting from homophobic victimization and bystanding among LGBTQIA adolescents but low levels and average levels did not moderate these associations. These findings highlight the importance of expanding Gay-Straight Alliances in schools.
The stabilizing properties of mineral-organic carbon (OC) interactions have been studied in many soil environments (temperate soils, podzol lateritic soils, and paddy soils). Recently, interest in their role in permafrost regions is increasing as permafrost was identified as a hotspot of change. In thawing ice-rich permafrost regions, such as the Yedoma domain, 327-466 Gt of frozen OC is buried in deep sediments. Interactions between minerals and OC are important because OC is located very near the mineral matrix. Mineral surfaces and elements could mitigate recent and future greenhouse gas emissions through physical and/or physicochemical protection of OC. The dynamic changes in redox and pH conditions associated with thermokarst lake formation and drainage trigger metal-oxide dissolution and precipitation, likely influencing OC stabilization and microbial mineralization. However, the influence of thermokarst processes on mineral-OC interactions remains poorly constrained. In this study, we aim to characterize Fe, Mn, Al, and Ca minerals and their potential protective role for OC. Total and selective extractions were used to assess the crystalline and amorphous oxides or complexed metal pools as well as the organic acids found within these pools. We analyzed four sediment cores from an ice-rich permafrost area in Central Yakutia, which were drilled (i) in undisturbed Yedoma uplands, (ii) beneath a recent lake formed within Yedoma deposits, (iii) in a drained thermokarst lake basin, and (iv) beneath a mature thermokarst lake from the early Holocene period. We find a decrease in the amount of reactive Fe, Mn, Al, and Ca in the deposits on lake formation (promoting reduction reactions), and this was largely balanced by an increase in the amount of reactive metals in the deposits on lake drainage (promoting oxidation reactions). We demonstrate an increase in the metal to C molar ratio on thermokarst process, which may indicate an increase in metal-C bindings and could provide a higher protective role against microbial mineralization of organic matter. Finally, we find that an increase in mineral-OC interactions corresponded to a decrease in CO2 and CH4 gas emissions on thermokarst process. Mineral-OC interactions could mitigate greenhouse gas production from permafrost thaw as soon as lake drainage occurs.
We study the first-arrival (first-hitting) dynamics and efficiency of a one-dimensional random search model performing asymmetric Levy flights by leveraging the Fokker-Planck equation with a delta-sink and an asymmetric space-fractional derivative operator with stable index alpha and asymmetry (skewness) parameter beta.
We find exact analytical results for the probability density of first-arrival times and the search efficiency, and we analyse their behaviour within the limits of short and long times.
We find that when the starting point of the searcher is to the right of the target, random search by Brownian motion is more efficient than Levy flights with beta <= 0 (with a rightward bias) for short initial distances, while for beta>0 (with a leftward bias) Levy flights with alpha -> 1 are more efficient.
When increasing the initial distance of the searcher to the target, Levy flight search (except for alpha=1 with beta=0) is more efficient than the Brownian search. Moreover, the asymmetry in jumps leads to essentially higher efficiency of the Levy search compared to symmetric Levy flights at both short and long distances, and the effect is more pronounced for stable indices alpha close to unity.
Rainfall-intense summer monsoon seasons on the Indian subcontinent that are exceeding long-term averages cause widespread floods and landslides.
Here we show that the latest generation of coupled climate models robustly project an intensification of very rainfall-intense seasons (June-September).
Under the shared socioeconomic pathway SSP5-8.5, very wet monsoon seasons as observed in only 5 years in the period 1965-2015 are projected to occur 8 times more often in 2050-2100 in the multi-model average.
Under SSP2-4.5, these seasons become only a factor of 6 times more frequent, showing that even modest efforts to mitigate climate change can have a strong impact on the frequency of very strong rainfall seasons.
Besides, we find that the increasing risk of extreme seasonal rainfall is accompanied by a shift from days with light rainfall to days with moderate or heavy rainfall. Additionally, the number of wet days is projected to increase.
Species community structures of Afrotropical butterflies differ depending on the monitoring method
(2022)
Standardised biodiversity assessment is crucial to understand community structures and population dynamics of animals.
There exist various methods to monitor biodiversity. Approaches differ depending on the target species group and the aim of study, and show advantages and disadvantages.
The obtained data and results are influenced by local environmental conditions and seasonal variability.
In a comparative approach, we studied butterfly diversity and community structure in the dryland savannah biome of south-eastern Kenya with two different methods, transect counts and bait trapping.
We repeatedly collected data throughout the dry and rainy seasons, in both near natural and anthropogenically influenced landscapes. Significantly more species and individuals were recorded by transect counts than by bait trapping, though the larger and more mobile Nymphalid species (and in particular representatives of the genus Charaxes) were comparatively overrepresented in traps.
The transect data revealed much more pronounced effects of land-use and seasonality than the trap data. These results show that the choice of data collection methods must depend on the general research question, habitat conditions and season. To study the relative variation of species diversity and abundance, the collection of a fraction of the total species diversity might be sufficient.
However, if the focus is on a largely complete recording of species diversity, the use of various collection methods is essential. More specifically, our data clearly demonstrate that transect counts represent a reasonable method for assessing butterfly diversity for the African dryland savannah region, but fails to fully capture occurrences of all species. Bait trapping can be used only as a supplementary method for assessing some few highly mobile low-density species.
Electrochemical reduction stands as an alternative to revalorize CO2. Among the different alternatives, Ni single atoms supported on carbonaceous materials are an appealing catalytic solution due to the low cost and versatility of the support and the optimal usage of Ni and its predicted selectivity and efficiency (ca. 100% towards CO). Herein, we have used noble carbonaceous support derived from cytosine to load Ni subnanometric sites. The large heteroatom content of the support allows the stabilization of up to 11 wt% of Ni without the formation of nanoparticles through a simple impregnation plus calcination approach, where nickel promotes the stabilization of C3NOx frameworks and the oxidative support promotes a high oxidation state of nickel. EXAFS analysis points at nickel single atoms or subnanometric clusters coordinated by oxygen in the material surface. Unlike the wellknown N-coordinated Ni single sites selectivity towards CO2 reduction, O-coordinated-Ni single sites (ca. 7 wt% of Ni) reduced CO2 to CO, but subnanometric clusters (11 wt% of Ni) foster the unprecedented formation of HCOOH with 27% Faradaic efficiency at - 1.4 V. Larger Ni amounts ended up on the formation of NiO nanoparticles and almost 100% selectivity towards hydrogen evolution.
Ground-penetrating radar (GPR) is a method that can provide detailed information about the near subsurface in sedimentary and carbonate environments.
The classical interpretation of GPR data (e.g., based on manual feature selection) often is labor-intensive and limited by the experience of the intercally used for seismic interpretation, can provide faster, more repeatable, and less biased interpretations. We have recorded a 3D GPD data set collected across a paleokarst breccia pipe in the Billefjorden area on Spitsbergen, Svalbard. After performing advanced processing, we compare the results of a classical GPR interpretation to the results of an attribute-based classification.
Our attribute classification incorporates a selection of dip and textural attributes as the input for a k-means clustering approach. Similar to the results of the classical interpretation, the resulting classes differentiate between undisturbed strata and breccias or fault zones.
The classes also reveal details inside the breccia pipe that are not discerned in the classical fer that the intrapipe GPR facies result from subtle differences, such as breccia lithology, clast size, or pore-space filling.
Shallow earthquakes frequently disturb the hydrological and mechanical state of the subsurface, with consequences for hazard and water management. Transient post-seismic hydrological behavior has been widely reported, suggesting that the recovery of material properties (relaxation) following ground shaking may impact groundwater fluctuations. However, the monitoring of seismic velocity variations associated with earthquake damage and hydrological variations are often done assuming that both effects are independent. In a field site prone to highly variable hydrological conditions, we disentangle the different forcing of the relative seismic velocity variations delta v retrieved from a small dense seismic array in Nepal in the aftermath of the 2015 M-w 7.8 Gorkha earthquake. We successfully model transient damage effects by introducing a universal relaxation function that contains a unique maximum relaxation timescale for the main shock and the aftershocks, independent of the ground shaking levels. Next, we remove the modeled velocity from the raw data and test whether the corresponding residuals agree with a background hydrological behavior we inferred from a previously calibrated groundwater model. The fitting of the delta v data with this model is improved when we introduce transient hydrological properties in the phase immediately following the main shock. This transient behavior, interpreted as an enhanced permeability in the shallow subsurface, lasts for similar to 6 months and is shorter than the damage relaxation (similar to 1 yr). Thus, we demonstrate the capability of seismic interferometry to deconvolve transient hydrological properties after earthquakes from non-linear mechanical recovery.
Soil bacteria play a fundamental role in pedogenesis. However, knowledge about both the impact of climate and slope aspects on microbial communities and the consequences of these items in pedogenesis is lacking. Therefore, soil-bacterial communities from four sites and two different aspects along the climate gradient of the Chilean Coastal Cordillera were investigated. Using a combination of microbiological and physicochemical methods, soils that developed in arid, semi-arid, mediterranean, and humid climates were analyzed. Proteobacteria, Acidobacteria, Chloroflexi, Verrucomicrobia, and Planctomycetes were found to increase in abundance from arid to humid climates, while Actinobacteria and Gemmatimonadetes decreased along the transect. Bacterial-community structure varied with climate and aspect and was influenced by pH, bulk density, plant-available phosphorus, clay, and total organic-matter content. Higher bacterial specialization was found in arid and humid climates and on the south-facing slope and was likely promoted by stable microclimatic conditions. The presence of specialists was associated with ecosystem-functional traits, which shifted from pioneers that accumulated organic matter in arid climates to organic decomposers in humid climates. These findings provide new perspectives on how climate and slope aspects influence the composition and functional capabilities of bacteria, with most of these capabilities being involved in pedogenetic processes.
Aim
There is little evidence of the impact of diabetes risk scores on individual diabetes risk factors, motivation for behaviour changes and mental health. The aim of this study was to investigate the effect of applying a noninvasive diabetes risk score in primary care as component of routine health checks on physical activity and secondary outcomes.
Methods
Cluster randomised trial, in which primary care physicians (PCPs), randomised (1:1) by minimisation, enrolled participants with statutory health insurance without known diabetes, >= 35 years of age with a body mass index >= 27.0 kg/m(2). The German Diabetes Risk Score was applied as add-on to the standard routine health check, conducted in the controls. Primary outcome was the difference in participants' physical activity (International Physical Activity Questionnaire) after 12 months. Secondary outcomes included body mass index, perceived health, anxiety, depression, and motivation for lifestyle change. Analysis was by intention-to-treat principle using mixed models.
Results
36 PCPs were randomised; remaining 30 PCPs (intervention: n = 16; control: n = 14) recruited 315 participants (intervention: n = 153; controls: n = 162). A slight increase in physical activity was observed in the intervention group with an adjusted mean change of 388 (95% confidence interval: - 235; 1011) metabolic equivalents minutes per week. There were no relevant changes in secondary outcomes.
Conclusions
The application of a noninvasive diabetes risk score alone is not effective in promoting physical activity in primary care. Clinical Trial Registration: ClinicalTrials.gov (NCT03234322, registration date: July 31, 2017).
HCNO is a molecule of considerable astrochemical interest as a precursor to prebiotic molecules. It is synthesized by preparative pyrolysis and is unstable at room temperature. Here, we investigate its spectroscopy in the soft X-ray regime at the C 1s, N 1s and O 1s edges. All 1s ionization energies are reported and X-ray absorption spectra reveal the transitions from the 1s to the pi* state. Resonant and normal Auger electron spectra for the decay of the core hole states are recorded in a hemispherical analyzer. An assignment of the experimental spectra is provided with the aid of theoretical counterparts. The latter are using a valence configuration interaction representation of the intermediate and final state energies and wavefunctions, the one-center approximation for transition rates and band shapes according to the moment theory. The computed spectra are in very good agreement with the experimental data and most of the relevant bands are assigned. Additionally, we present a simple approach to estimate relative Auger transition rates on the basis of a minimal basis representation of the molecular orbitals. We demonstrate that this provides a qualitatively good and reliable estimate for several signals in the normal and resonant Auger electron spectra which have significantly different intensities in the decay of the three core holes.
The interplay between free charge carriers, charge transfer (CT) states and singlet excitons (S-1) determines the recombination pathway and the resulting open circuit voltage (V-OC) of organic solar cells.
By combining a well-aggregated low bandgap polymer with different blend ratios of the fullerenes PCBM and ICBA, the energy of the CT state (E-CT) is varied by 130 meV while leaving the S-1 energy of the polymer (ES1\[{E_{{{\rm{S}}_1}}}\]) unaffected.
It is found that the polymer exciton dominates the radiative properties of the blend when ECT\[{E_{{\rm{CT}}}}\] approaches ES1\[{E_{{{\rm{S}}_1}}}\], while the V-OC remains limited by the non-radiative decay of the CT state.
It is concluded that an increasing strength of the exciton in the optical spectra of organic solar cells will generally decrease the non-radiative voltage loss because it lowers the radiative V-OC limit (V-OC,V-rad), but not because it is more emissive.
The analysis further suggests that electronic coupling between the CT state and the S-1 will not improve the V-OC, but rather reduce the V-OC,V-rad.
It is anticipated that only at very low CT state absorption combined with a fairly high CT radiative efficiency the solar cell benefit from the radiative properties of the singlet excitons.
The region of West Bohemia and Upper Palatinate belongs to the West Bohemian Massif. The study area is situated at the junction of three different Variscan tectonic units and hosts the ENE-WSW trending Ohre Rift as well as many different fault systems. The entire region is characterized by ongoing magmatic processes in the intra-continental lithospheric mantle expressed by a series of phenomena, including e.g. the occurrence of repeated earthquake swarms and massive degassing of mantle derived CO2 in form of mineral springs and mofettes. Ongoing active tectonics is mainly manifested by Cenozoic volcanism represented by different Quaternary volcanic structures. All these phenomena make the Ohre Rift a unique target area for European intra-continental geo-scientific research. With magnetotelluric (MT) measurements we image the subsurface distribution of the electrical resistivity and map possible fluid pathways. Two-dimensional (2D) inversion results by Munoz et al. (2018) reveal a conductive channel in the vicinity of the earthquake swarm region that extends from the lower crust to the surface forming a pathway for fluids into the region of the mofettes. A second conductive channel is present in the south of their model; however, their 2D inversions allow ambiguous interpretations of this feature. Therefore, we conducted a large 3D MT field experiment extending the study area towards the south. The 3D inversion result matches well with the known geology imaging different fluid/magma reservoirs at crust-mantle depth and mapping possible fluid pathways from the reservoirs to the surface feeding known mofettes and spas. A comparison of 3D and 2D inversion results suggests that the 2D inversion results are considerably characterized by 3D and off-profile structures. In this context, the new results advocate for the swarm earthquakes being located in the resistive host rock surrounding the conductive channels; a finding in line with observations e.g. at the San Andreas Fault, California.
Understanding catchment controls on catchment solute export is a prerequisite for water quality management. StorAge Selection (SAS) functions encapsulate essential information about catchment functioning in terms of discharge selection preference and solute export dynamics. However, they lack information on the spatial origin of solutes when applied at the catchment scale, thereby limiting our understanding of the internal (subcatchment) functioning. Here, we parameterized SAS functions in a spatially explicit way to understand the internal catchment responses and transport dynamics of reactive dissolved nitrate (N-NO3). The model was applied in a nested mesoscale catchment (457 km(2)), consisting of a mountainous partly forested, partly agricultural subcatchment, a middle-reach forested subcatchment, and a lowland agricultural subcatchment. The model captured flow and nitrate concentration dynamics not only at the catchment outlet but also at internal gauging stations. Results reveal disparate subsurface mixing dynamics and nitrate export among headwater and lowland subcatchments. The headwater subcatchment has high seasonal variation in subsurface mixing schemes and younger water in discharge, while the lowland subcatchment has less pronounced seasonality in subsurface mixing and much older water in discharge. Consequently, nitrate concentration in discharge from the headwater subcatchment shows strong seasonality, whereas that from the lowland subcatchment is stable in time. The temporally varying responses of headwater and lowland subcatchments alternate the dominant contribution to nitrate export in high and low-flow periods between subcatchments. Overall, our results demonstrate that the spatially explicit SAS modeling provides useful information about internal catchment functioning, helping to develop or evaluate spatial management practices.
The most profound shift in the African hydroclimate of the last 1 million years occurred around 300 thousand years (ka) ago.
This change in African hydroclimate is manifest as an east-west change in moisture balance that cannot be fully explained through linkages to high latitude climate systems.
The east-west shift is, instead, probably driven by a shift in the tropical Walker Circulation related to sea surface temperature change driven by orbital forcing. Comparing records of past vegetation change, and hominin evolution and development, with this breakpoint in the climate system is challenging owing to the paucity of study sites available and uncertainties regarding the dating of records. Notwithstanding these uncertainties we find that, broadly speaking, both vegetation and hominins change around 300 ka.
The vegetative backdrop suggests that relative abundance of vegetative resources shifted from western to eastern Africa, although resources would have persisted across the continent.
The climatic and vegetation changes probably provided challenges for hominins and are broadly coincident with the appearance of Homo sapiens (ca 315 ka) and the emergence of Middle Stone Age technology.
The concomitant changes in climate, vegetation and hominin evolution suggest that these factors are closely intertwined.
This article is part of the theme issue 'Tropical forests in the deep human past'.
Diskursive Perspektiven auf internationale Politik haben in den vergangenen Jahren an Relevanz und Popularität gewonnen. Der vorliegende Beitrag gibt zunächst einen Überblick über verschiedene Spielarten diskursiver Ansätze in den Internationalen Beziehungen, um sich dann vor allem poststrukturalistisch inspirierten Diskursarbeiten zu widmen. Poststrukturalistische Ansätze, so argumentieren wir, sind besonders interessant für die Disziplin der IB, da sie vier spezifische Gewinne bieten: Erstens erlauben sie eine kritische Perspektive auf Fragen internationaler Politik, zweitens hilft eine poststrukturalistische Perspektive dabei, den oft übersehenen politischen Charakter sozialer Realität herauszustellen, drittens halten sie dazu an, die eigene Sichtweise des/der Forschenden zu reflektieren und viertens erlaubt es eine poststrukturalistische Vorgehensweise mit ihrem Fokus auf „Wie-möglich-Fragen“, eine alternative analytische Perspektive zu dominanten erklärenden Ansätzen einzunehmen.
The subsequent observing runs of the advanced gravitational-wave detector network will likely provide us with various gravitational-wave observations of binary neutron star systems. For an accurate interpretation of these detections, we need reliable gravitational-wave models. To test and to point out how existing models could be improved, we perform a set of high-resolution numerical relativity simulations for four different physical setups with mass ratios q = 1.25, 1.50, 1.75, 2.00, and total gravitational mass M = 2.7 M???. Each configuration is simulated with five different resolutions to allow a proper error assessment. Overall, we find approximately second-order converging results for the dominant (2,2) mode, but also the subdominant (2,1), (3,3), and (4,4) modes, while generally, the convergence order reduces slightly for an increasing mass ratio. Our simulations allow us to validate waveform models, where we find generally good agreement between state-of-the-art models and our data, and to prove that scaling relations for higher modes currently employed for binary black hole waveform modeling also apply for the tidal contribution. Finally, we also test if the current NRTidal model used to describe tidal effects is a valid description for high-mass-ratio systems. We hope that our simulation results can be used to further improve and test waveform models in preparation for the next observing runs.
Genomic prediction has revolutionized crop breeding despite remaining issues of transferability of models to unseen environmental conditions and environments. Usage of endophenotypes rather than genomic markers leads to the possibility of building phenomic prediction models that can account, in part, for this challenge. Here, we compare and contrast genomic prediction and phenomic prediction models for 3 growth-related traits, namely, leaf count, tree height, and trunk diameter, from 2 coffee 3-way hybrid populations exposed to a series of treatment-inducing environmental conditions. The models are based on 7 different statistical methods built with genomic markers and ChlF data used as predictors. This comparative analysis demonstrates that the best-performing phenomic prediction models show higher predictability than the best genomic prediction models for the considered traits and environments in the vast majority of comparisons within 3-way hybrid populations. In addition, we show that phenomic prediction models are transferrable between conditions but to a lower extent between populations and we conclude that chlorophyll a fluorescence data can serve as alternative predictors in statistical models of coffee hybrid performance. Future directions will explore their combination with other endophenotypes to further improve the prediction of growth-related traits for crops.
Free base 5,10,15,20-tetrakis(4-carboxylatophenyl)porphyrin stands for the class of powerful porphyrin photosensitizers for singlet oxygen generation and light-harvesting. The atomic level selectivity of dynamic UV pump - N K-edge probe X-ray absorption spectroscopy in combination with time-dependent density functional theory (TD-DFT) gives direct access to the crucial excited molecular states within the unusual relaxation pathway.
The efficient intersystem crossing, that is El-Sayed forbidden and not facilitated by a heavy atom is confirmed to be the result of the long singlet excited state lifetime (Q(x) 4.9 ns) and thermal effects.
Overall, the interplay of stabilization by conservation of angular momenta and vibronic relaxation drive the de-excitation in these chromophores.
Fragmentation of peptides leaves characteristic patterns in mass spectrometry data, which can be used to identify protein sequences, but this method is challenging for mutated or modified sequences for which limited information exist. Altenburg et al. use an ad hoc learning approach to learn relevant patterns directly from unannotated fragmentation spectra.
Mass spectrometry-based proteomics provides a holistic snapshot of the entire protein set of living cells on a molecular level. Currently, only a few deep learning approaches exist that involve peptide fragmentation spectra, which represent partial sequence information of proteins.
Commonly, these approaches lack the ability to characterize less studied or even unknown patterns in spectra because of their use of explicit domain knowledge.
Here, to elevate unrestricted learning from spectra, we introduce 'ad hoc learning of fragmentation' (AHLF), a deep learning model that is end-to-end trained on 19.2 million spectra from several phosphoproteomic datasets. AHLF is interpretable, and we show that peak-level feature importance values and pairwise interactions between peaks are in line with corresponding peptide fragments.
We demonstrate our approach by detecting post-translational modifications, specifically protein phosphorylation based on only the fragmentation spectrum without a database search. AHLF increases the area under the receiver operating characteristic curve (AUC) by an average of 9.4% on recent phosphoproteomic data compared with the current state of the art on this task.
Furthermore, use of AHLF in rescoring search results increases the number of phosphopeptide identifications by a margin of up to 15.1% at a constant false discovery rate. To show the broad applicability of AHLF, we use transfer learning to also detect cross-linked peptides, as used in protein structure analysis, with an AUC of up to 94%.
In the past decade, sediment connectivity has become a widely recognized characteristic of a geomorphic system. However, the quantification of functional connectivity (i.e. connectivity which arises due to the actual occurrence of sediment transport processes) and its variation over space and time is still a challenge. In this context, this study assesses the effects of expected future phenomena in the context of climate change (i.e. glacier retreat, permafrost degradation or meteorological extreme events) on sediment transport dynamics in a glacierised Alpine basin. The study area is the Sulden river basin (drainage area 130 km(2)) in the Italian Alps, which is composed of two geomorphologically diverse sub-basins. Based on graph theory, we evaluated the spatio-temporal variations in functional connectivity in these two sub-basins. The graph-object, obtained by manually mapping sediment transport processes between landforms, was adapted to 6 different hydro-meteorological scenarios, which derive from combining base, heatwave and rainstorm conditions with snowmelt and glacier-melt periods. For each scenario and each sub-basin, the sediment transport network and related catchment characteristics were analysed. To compare the effects of the scenarios on functional connectivity, we introduced a connectivity degree, calculated based on the area of the landforms involved in sediment cascades. Results indicate that the area of the basin connected to its outlet in terms of sediment transport might feature a six-fold increase in case of rainstorm conditions compared to "average " meteorological conditions assumed for the base scenario. Furthermore, markedly different effects of climate change on sediment connectivity are expected between the two sub-catchments due to their contrasting morphological and lithological characteristics, in terms of relative importance of rainfall triggered colluvial processes vs temperature-driven proglacial fluvial dynamics.
EC 22536-5304
(2021)
Helium-burning hot subdwarf stars of spectral types O and B (sdO/B) are thought to be produced through various types of binary interactions. The helium-rich hot subdwarf star EC 22536-5304 was recently found to be extremely enriched in lead. Here, we show that EC 22536-5304 is a binary star with a metal-poor subdwarf F-type (sdF) companion. We performed a detailed analysis of high-resolution SALT/HRS and VLT/UVES spectra, deriving metal abundances for the hot subdwarf, as well as atmospheric parameters for both components. Because we consider the contribution of the sdF star, the derived lead abundance for the sdOB, + 6.3 +/- 0.3 dex relative to solar, is even higher than previously thought. We derive T-eff = 6210 +/- 70 K, log g = 4.64 +/- 0.10, [FE/H] = - 1.95 +/- 0.04, and [alpha/Fe] = + 0.40 +/- 0.04 for the sdF component. Radial velocity variations, although poorly sampled at present, indicate that the binary system has a long orbital period of about 457 days. This suggests that the system was likely formed through stable Roche lobe overflow (RLOF). A kinematic analysis shows that EC 22536-5304 is on an eccentric orbit around the Galactic centre. This, as well as the low metallicity and strong alpha enhancement of the sdF-type companion, indicate that EC 22536-5304 is part of the Galactic halo or metal-weak thick disc. As the first long-period hot subdwarf binary at [FE/H] less than or similar to- 1, EC 22536-5304 may help to constrain the RLOF mechanism for mass transfer from low-mass, low-metallicity red giant branch (RGB) stars to main-sequence companions.
Reducing greenhouse gas emissions in food systems is becoming more challenging as food is increasingly consumed away from producer regions, highlighting the need to consider emissions embodied in trade in agricultural emissions accounting.
To address this, our study explores recent trends in trade-adjusted agricultural emissions of food items at the global, regional, and national levels.
We find that emissions are largely dependent on a country’s consumption patterns and their agricultural emission intensities relative to their trading partners’.
The absolute differences between the production-based and trade-adjusted emissions accounting approaches are especially apparent for major agricultural exporters and importers and where large shares of emission-intensive items such as ruminant meat, milk products and rice are involved.
In relative terms, some low-income and emerging and developing economies with consumption of high emission intensity food products show large differences between approaches.
Similar trends are also found under various specifications that account for trade and re-exports differently.
These findings could serve as an important element towards constructing national emissions reduction targets that consider trading partners, leading to more effective emissions reductions overall.
Kollaborative, partizipative Instrumente zur Krisenbekämpfung haben in den letzten Jahren zunehmend an Aufmerksamkeit gewonnen. Ein Beispiel hierfür ist der #WirVsVirus-Hackathon, der als Reaktion auf die COVID-19-Pandemie durchgeführt wurde und über 28.000 Teilnehmer:innen erreichte. Bislang wurden die Auswirkungen solch groß angelegter, kollaborativer Ansätze zur Krisenbewältigung auf staatliches Krisenmanagement nur selten untersucht. Diese Studie analysiert den Hackathon und die daraus entstandenen Projekte aus der Perspektive des Open Governance-Paradigmas. Auf Grundlage von neun Experteninterviews untersuchen wir, wie sich digitale Open Governance auf die Regierungsfähigkeit und Legitimität in Krisenzeiten auswirkt. Unsere Analyse zeigt, dass digitale Open Governance zur Leistungsfähigkeit und Legitimität staatlichen Handelns in Krisenzeiten beitragen kann, da solche Projekte eine breite und diverse Teilnehmerschaft mobilisieren und in kurzer Zeit bürgerzentrierte, nutzbare Lösungen für krisenbezogene Probleme entwickeln können. Dem stehen allerdings Zweifel an der langfristigen Beständigkeit der Projekte, ihrer Skalierbarkeit, sowie Risiken hinsichtlich der Legitimität und Rechenschaftspflicht entgegen.
The Lena Delta in Siberia is the largest delta in the Arctic and as a snow-dominated ecosystem particularly vulnerable to climate change.
Using the two decades of MODerate resolution Imaging Spectroradiometer satellite acquisitions, this study investigates interannual and spatial variability of snow-cover duration and summer vegetation vitality in the Lena Delta.
We approximated snow by the application of the normalized difference snow index and vegetation greenness by the normalized difference vegetation index (NDVI). We consolidated the analyses by integrating reanalysis products on air temperature from 2001 to 2021, and air temperature, ground temperature, and the date of snow-melt from time-lapse camera (TLC) observations from the Samoylov observatory located in the central delta.
We extracted spring snow-cover duration determined by a latitudinal gradient. The 'regular year' snow-melt is transgressing from mid-May to late May within a time window of 10 days across the delta.
We calculated yearly deviations per grid cell for two defined regions, one for the delta, and one focusing on the central delta. We identified an ensemble of early snow-melt years from 2012 to 2014, with snow-melt already starting in early May, and two late snow-melt years in 2004 and 2017, with snow-melt starting in June. In the times of TLC recording, the years of early and late snow-melt were confirmed.
In the three summers after early snow-melt, summer vegetation greenness showed neither positive nor negative deviations. Whereas, vegetation greenness was reduced in 2004 after late snow-melt together with the lowest June monthly air temperature of the time series record. Since 2005, vegetation greenness is rising, with maxima in 2018 and 2021.
The NDVI rise since 2018 is preceded by up to 4 degrees C warmer than average June air temperature. The ongoing operation of satellite missions allows to monitor a wide range of land surface properties and processes that will provide urgently needed data in times when logistical challenges lead to data gaps in land-based observations in the rapidly changing Arctic.
The concepts of CO2 emission, global warming, climate change, and their environmental impacts are of utmost importance for the understanding and protection of the ecosystems.
Among the natural sources of gases into the atmosphere, the contribution of geogenic sources plays a crucial role. However, while subaerial emissions are widely studied, submarine outgassing is not yet well understood.
In this study, we review and catalog 122 literature and unpublished data of submarine emissions distributed in ten coastal areas of the Aegean Sea. This catalog includes descriptions of the degassing vents through in situ observations, their chemical and isotopic compositions, and flux estimations.
Temperatures and pH data of surface seawaters in four areas affected by submarine degassing are also presented.
This overview provides useful information to researchers studying the impact of enhanced seawater CO2 concentrations related either to increasing CO2 levels in the atmosphere or leaking carbon capture and storage systems.
The production of volatile organic compounds (VOCs) represents a promising strategy of plant-beneficial bacteria to control soil-borne phytopathogens.
Pseudomonas sp. PICF6 and Pseudomonas simiae PICF7 are two indigenous inhabitants of olive roots displaying effective biological control against Verticillium dahliae. Additionally, strain PICF7 is able to promote the growth of barley and Arabidopsis thaliana, VOCs being involved in the growth of the latter species.
In this study, the antagonistic capacity of these endophytic bacteria against relevant phytopathogens (Verticillium spp., Rhizoctonia solani, Sclerotinia sclerotiorum and Fusarium oxysporum f.sp. lycopersici) was assessed. Under in vitro conditions, PICF6 and PICF7 were only able to antagonize representative isolates of V. dahliae and V. longisporum. Remarkably, both strains produced an impressive portfolio of up to twenty VOCs, that included compounds with reported antifungal (e.g., 1-undecene, (methyldisulfanyl) methane and 1-decene) or plant growth promoting (e.g., tridecane, 1-decene) activities. Moreover, their volatilomes differed strongly in the absence and presence of V. dahliae.
For example, when co incubated with the defoliating pathotype of V. dahliae, the antifungal compound 4-methyl-2,6-bis(2-methyl-2-propanyl)phenol was produced. Results suggest that volatiles emitted by these endophytes may differ in their modes of action, and that potential benefits for the host needs further investigation in planta.
Development of functional and stable solid polymer electrolytes (SPEs) for battery applications is an important step towards both safer batteries and for the realization of lithium-based or anode-less batteries. The interface between the lithium and the solid polymer electrolyte is one of the bottlenecks, where severe degradation is expected. Here, the stability of three different SPEs - poly(ethylene oxide) (PEO), poly(epsilon-caprolactone) (PCL) and poly(trimethylene carbonate) (PTMC) - together with lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) salt, is investigated after they have been exposed to lithium metal under UHV conditions. Degradation compounds, e.g. Li-O-R, LiF and LixSyOz, are identified for all SPEs using soft X-ray photoelectron spectroscopy. A competing degradation between polymer and salt is identified in the outermost surface region (<7 nm), and is dependent on the polymer host. PTMC:LiTFSI shows the most severe decomposition of both polymer and salt followed by PCL:LiTFSI and PEO:LiTFSI. In addition, the movement of lithium species through the decomposed interface shows large variation depending on the polymer electrolyte system.
Diffusion maps is a manifold learning algorithm widely used for dimensionality reduction. Using a sample from a distribution, it approximates the eigenvalues and eigenfunctions of associated Laplace-Beltrami operators. Theoretical bounds on the approximation error are, however, generally much weaker than the rates that are seen in practice. This paper uses new approaches to improve the error bounds in the model case where the distribution is supported on a hypertorus. For the data sampling (variance) component of the error we make spatially localized compact embedding estimates on certain Hardy spaces; we study the deterministic (bias) component as a perturbation of the Laplace-Beltrami operator's associated PDE and apply relevant spectral stability results. Using these approaches, we match long-standing pointwise error bounds for both the spectral data and the norm convergence of the operator discretization. We also introduce an alternative normalization for diffusion maps based on Sinkhorn weights. This normalization approximates a Langevin diffusion on the sample and yields a symmetric operator approximation. We prove that it has better convergence compared with the standard normalization on flat domains, and we present a highly efficient rigorous algorithm to compute the Sinkhorn weights.
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.