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- noise (8)
- numerical relativity (8)
- numerical simulation (8)
- outflows (8)
- parliamentary government (8)
- persistence (8)
- phosphorylation (8)
- plankton (8)
- polarization (8)
- polyelectrolyte (8)
- polyunsaturated fatty acids (8)
- productivity (8)
- professional development (8)
- pronouns (8)
- proteomics (8)
- public administration (8)
- public health (8)
- quantum dots (8)
- quasars: general (8)
- reanalysis (8)
- rehabilitation (8)
- representation (8)
- resources (8)
- restoration (8)
- risk perception (8)
- rotation (8)
- seed dispersal (8)
- selection (8)
- sexual scripts (8)
- signal transduction (8)
- site effects (8)
- snow (8)
- social inclusion (8)
- soil (8)
- spatial frequencies (8)
- starch metabolism (8)
- stars: activity (8)
- stars: emission-line, Be (8)
- statistics (8)
- surface chemistry (8)
- surface modification (8)
- suspended sediment (8)
- sustainable development (8)
- technology (8)
- time-series (8)
- trends (8)
- ultrafast (8)
- ventral striatum (8)
- virtual reality (8)
- vitamin A (8)
- water quality (8)
- ADHD (7)
- Algorithms (7)
- Anisotropy (7)
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- Austria (7)
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- DNA damage (7)
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- Dirac operator (7)
- E. coli (7)
- East African Rift System (7)
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- Fokus (7)
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- Galaxien (7)
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- Geschäftsprozessmanagement (7)
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- Gravitationswellen (7)
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- Hertzsprung-Russell and C-M diagrams (7)
- Higher education (7)
- In-Memory Technologie (7)
- Indian Summer Monsoon (7)
- Interoception (7)
- Kalman filter (7)
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- Leguminosae (7)
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- amygdala (7)
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- binaries: eclipsing (7)
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- bystander (7)
- cAMP (7)
- calibration (7)
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- catalogs (7)
- cell adhesion (7)
- cellulose (7)
- charge generation (7)
- chemistry (7)
- chemotaxis (7)
- child (7)
- circadian clock (7)
- circulation (7)
- circumstellar matter (7)
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- cluster expansion (7)
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- community (7)
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- comparison (7)
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- complexes (7)
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- cortisol (7)
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- dietary patterns (7)
- discrepancy principle (7)
- distribution (7)
- disturbance (7)
- duplicate detection (7)
- dust (7)
- ecological modelling (7)
- ecosystem functioning (7)
- energy (7)
- energy policy (7)
- ensemble Kalman filter (7)
- enzyme (7)
- enzyme catalysis (7)
- experiments (7)
- extinction (7)
- extraction (7)
- extreme rainfall (7)
- fatty acids (7)
- films (7)
- first passage time (7)
- flood (7)
- flow (7)
- fluorescence microscopy (7)
- food webs (7)
- frequency (7)
- function (7)
- functional magnetic resonance imaging (7)
- galaxies (7)
- galaxies: dwarf (7)
- galaxies: starburst (7)
- gender differences (7)
- gene flow (7)
- geochemistry (7)
- geophysics (7)
- globalization (7)
- grain size (7)
- graphene (7)
- heart (7)
- heterogeneous catalysis (7)
- home range (7)
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- imaging (7)
- imaging spectroscopy (7)
- immobilization (7)
- inference (7)
- infrared: stars (7)
- insect (7)
- insula (7)
- interoceptive awareness (7)
- isotopes (7)
- jumping (7)
- kinematics (7)
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- last glacial maximum (7)
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- low-energy electrons (7)
- malnutrition (7)
- measurement (7)
- mechanisms (7)
- memory retrieval (7)
- metaanalysis (7)
- metabolite profiling (7)
- methane (7)
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- modality (7)
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- orthography (7)
- oscillations (7)
- pH (7)
- pain (7)
- palaeoecology (7)
- paleoecology (7)
- parafoveal processing (7)
- parameter estimation (7)
- pathogens (7)
- perceptual span (7)
- phase transition (7)
- phase transitions (7)
- photoelectron spectroscopy (7)
- planetary nebulae: general (7)
- planets and satellites: rings (7)
- plant diversity (7)
- plasmonics (7)
- policy (7)
- porous materials (7)
- predator-prey dynamics (7)
- presidential government (7)
- preview benefit (7)
- production control (7)
- pronoun resolution (7)
- prosodic boundary cues (7)
- proteasome (7)
- pulsars: general (7)
- quality (7)
- quantification (7)
- recombination (7)
- repair (7)
- reproducibility (7)
- residual stress (7)
- retinol (7)
- rheology (7)
- roughness (7)
- secular trend (7)
- seismic hazard (7)
- shape-memory effect (7)
- sharing economy (7)
- silicon (7)
- size (7)
- social rejection (7)
- solar wind (7)
- sorption (7)
- stabile Isotope (7)
- standardization (7)
- stars: late-type (7)
- sunspots (7)
- surfactants (7)
- surveillance (7)
- tVNS (7)
- techniques: image processing (7)
- thermokarst (7)
- time series (7)
- transfer (7)
- transition (7)
- treeline (7)
- trunk (7)
- urbanization (7)
- verification (7)
- visualization (7)
- weather (7)
- wh-in-situ (7)
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- working memory capacity (7)
- yellow flags (7)
- youth sports (7)
- AFM (6)
- Adipositas (6)
- Ageing (6)
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- BMI (6)
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- Blockcopolymere (6)
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- Chytridiomycota (6)
- Click chemistry (6)
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- Data assimilation (6)
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- Design (6)
- Design Thinking (6)
- Dezentralisierung (6)
- Digitalisierung (6)
- Disturbance (6)
- Dynamic NMR (6)
- EEG/ERP (6)
- Emotions (6)
- Energy (6)
- Flood risk (6)
- Fluorescence spectroscopy (6)
- Gammastrahlungsastronomie (6)
- Gene-environment interaction (6)
- Genomics (6)
- Groundwater (6)
- H II regions (6)
- HIREC (6)
- ISM: kinematics and dynamics (6)
- Insurance (6)
- Interaction (6)
- Interest (6)
- Israel (6)
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- Klimaänderung (6)
- Künstliche Intelligenz (6)
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- Lasers (6)
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- Local Group (6)
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- Lysiphlebus fabarum (6)
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- Modell (6)
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- Movement (6)
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- Reliability (6)
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- Rheologie (6)
- Rheology (6)
- Ring current effect (6)
- SDS-PAGE (6)
- Schadensmodellierung (6)
- Seesedimente (6)
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- Sentinel-1 (6)
- Sexual scripts (6)
- Sexual selection (6)
- Smalltalk (6)
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- Sphingosine 1-phosphate (6)
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- Sternentwicklung (6)
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- Svalbard (6)
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- acid ceramidase (6)
- administration (6)
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- age of acquisition (6)
- alexithymia (6)
- algorithms (6)
- alignment (6)
- animal movement (6)
- anthropometry (6)
- antioxidants (6)
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- bias (6)
- biodegradable polymers (6)
- black holes (6)
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- change (6)
- change detection (6)
- chloroplast (6)
- co-limitation (6)
- coherence (6)
- colonialism (6)
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- corruption (6)
- costs (6)
- crown compounds (6)
- crystal-structure (6)
- cyber victimization (6)
- cyber-physical systems (6)
- cytoskeleton (6)
- data (6)
- depressive symptoms (6)
- diabetic nephropathy (6)
- dielectrophoresis (6)
- diffuse radiation (6)
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- dyslexia (6)
- early warning (6)
- eclogite (6)
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- extension (6)
- fNIRS (6)
- fabrication (6)
- facilitation (6)
- fertilization (6)
- first passage (6)
- floodplain (6)
- fluorescence correlation spectroscopy (6)
- formal semantics (6)
- galaxies: abundances (6)
- galaxy evolution (6)
- gamma-ray astronomy (6)
- gamma-rays: general (6)
- gas (6)
- gelatin (6)
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- invasive species (6)
- kosmische Strahlung (6)
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- linagliptin (6)
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- meaning (6)
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- neotectonics (6)
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- neutron diffraction (6)
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- nucleus (6)
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- organization (6)
- overweight (6)
- oxygen (6)
- p53 (6)
- palaeoclimate (6)
- parameters (6)
- participation (6)
- pattern formation (6)
- perturbation (6)
- phenology (6)
- phonetics (6)
- phosphate (6)
- phylogenetic diversity (6)
- piezoelectricity (6)
- plant (6)
- plants (6)
- plyometric training (6)
- political equality (6)
- pollution (6)
- polyelectrolytes (6)
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- polyzwitterions (6)
- population density (6)
- porosity (6)
- porous carbon (6)
- postural stability (6)
- pregnancy (6)
- programming (6)
- projections (6)
- propensity score matching (6)
- protection (6)
- protein-protein interaction (6)
- public management (6)
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- radical polymerization (6)
- radiocarbon (6)
- rainfall (6)
- rat (6)
- reciprocal class (6)
- reduction (6)
- reflection (6)
- reproduction (6)
- retinol-binding protein 4 (6)
- risk factor (6)
- saccades (6)
- salinity gradient (6)
- salivary gland (6)
- scale development (6)
- scattering (6)
- scrambling (6)
- sedaDNA (6)
- sediment transport (6)
- selenium (6)
- self-concept (6)
- self-healing (6)
- self-regulation (6)
- silver nanoparticles (6)
- soccer (6)
- social comparison (6)
- socioeconomic status (6)
- sodium (6)
- software engineering (6)
- solar cells (6)
- speed (6)
- star formation (6)
- stars: horizontal-branch (6)
- stars: kinematics and dynamics (6)
- stars: magnetic fields (6)
- stimuli-sensitive polymers (6)
- stroke (6)
- sulfite oxidase (6)
- support vector machine (6)
- teaching (6)
- thaliana (6)
- therapist competence (6)
- thermoresponsive polymers (6)
- tomato (6)
- tomography (6)
- topography (6)
- tracking (6)
- trade-offs (6)
- training adaptation (6)
- traits (6)
- transcriptional memory (6)
- trust (6)
- ultrafast dynamics (6)
- uncertainty analysis (6)
- unemployment (6)
- uplift (6)
- user experience (6)
- variation (6)
- violence (6)
- visions of democracy (6)
- walking (6)
- water management (6)
- weight loss (6)
- women (6)
- world literature (6)
- zebrafish (6)
- 3D point clouds (5)
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- AC electrokinetics (5)
- ALAN (5)
- Absorption (5)
- Ackerschmalwand (5)
- African Humid Period (5)
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- Age of acquisition (5)
- Agency (5)
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- Algeria (5)
- Alterung (5)
- Amygdala (5)
- Ancient DNA (5)
- Animal personality (5)
- Antwortmengenprogrammierung (5)
- Arsenic-containing hydrocarbons (5)
- Asian monsoon (5)
- Asteraceae (5)
- Autocorrelation (5)
- Basketball (5)
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- Cayley Graph (5)
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- Chitooligosaccharides (5)
- Chloroplast (5)
- Cognitive control (5)
- Cold War (5)
- Community assembly (5)
- Conservation (5)
- Cost-effectiveness (5)
- Cue-based retrieval (5)
- Cultural diversity (5)
- Cyanobakterien (5)
- Cystic fibrosis (5)
- DRD4 (5)
- Data profiling (5)
- Datenassimilation (5)
- Datenbank (5)
- Decision making (5)
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- Dictyostelium discoideum (5)
- Duplikaterkennung (5)
- EPR (5)
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- Ellenberg indicator values (5)
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- Embodiment (5)
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- European hare (5)
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- Extraction (5)
- Extreme events (5)
- Eye movement (5)
- Feature selection (5)
- Fetal programming (5)
- Fire-bellied toad (5)
- Flood (5)
- Flow cytometry (5)
- Fluorescence imaging (5)
- Fokker-Planck equation (5)
- Food quality (5)
- Frailty (5)
- Free Group (5)
- Functional ankle instability (5)
- G-protein-coupled receptor (5)
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- Habitat fragmentation (5)
- Heart rate variability (5)
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- Heterocycles (5)
- Holding isometric muscle action (5)
- Hypertension (5)
- IAT (5)
- IR-MALDI (5)
- ISM: jets and outflows (5)
- ISM: lines and bands (5)
- ISM: magnetic fields (5)
- Imaging (5)
- Individual-based models (5)
- Induced seismicity (5)
- Information (5)
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- Janus emulsions (5)
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- L2 processing (5)
- LC–MS/MS (5)
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- Landslides (5)
- Langmuir monolayer (5)
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- Measurement (5)
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- PCA (5)
- PUFA (5)
- Palaeolimnology (5)
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- Palynology (5)
- Peptides (5)
- Permian (5)
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- Ph.D. retreat (5)
- Phase transitions (5)
- Photochemistry (5)
- Plant functional types (5)
- Plio-Pleistocene (5)
- Population dynamics (5)
- Postural control (5)
- Priming (5)
- Process (5)
- Process mining (5)
- Productivity (5)
- Proteins (5)
- Pushing isometric muscle action (5)
- Python (5)
- Quantum chemical calculations (5)
- RAFT polymerization (5)
- RNA (5)
- RNA-Seq (5)
- ROS (5)
- Residual stress (5)
- Resonant inelastic X-ray scattering (5)
- Risk assessment (5)
- Ruthenium (5)
- Röntgenbeugung (5)
- SRTM (5)
- STM (5)
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- Simulations (5)
- Solanum lycopersicum (5)
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- arabidopsis (4)
- arabidopsis-thaliana (4)
- architecture (4)
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- categories (4)
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- cod-liver (4)
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- coefficient (4)
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- competence (4)
- complexity (4)
- compliance (4)
- composites (4)
- computer games (4)
- computer-based training (4)
- concepts (4)
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- conductivity (4)
- confocal microscopy (4)
- conjugated polymers (4)
- content-addressable memory (4)
- context (4)
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- conversational agents (4)
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- coping strategies (4)
- copper(II) (4)
- core (4)
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- corrosion (4)
- counting (4)
- covariance (4)
- creep (4)
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- effect (4)
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- coronary bypass grafting (3)
- corpus analysis (3)
- corpus linguistics (3)
- correlated noise (3)
- correlations (3)
- cosmic-ray neutron sensing (3)
- cosmology (3)
- cost-benefit analysis (3)
- counting process (3)
- coupled oscillators (3)
- coupled rotators (3)
- course design (3)
- critical avalanche dynamics (3)
- critical phenomena (3)
- crop (3)
- cross-curriculum (3)
- cross-domain priming (3)
- cross-lagged panel analysis (3)
- cross-methodological approach (3)
- cross-national (3)
- crowding (3)
- crust (3)
- cryolithology (3)
- cryptic species (3)
- crystalline (3)
- cue validity (3)
- cultural identity (3)
- curriculum framework (3)
- curvature (3)
- cyberhate (3)
- cybervictimization (3)
- cycloaddition (3)
- cylindrical geometry (3)
- cytosolic tRNA thiolation (3)
- damage estimation (3)
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- dark matter theory (3)
- dark triad (3)
- data fusion (3)
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- data processing (3)
- data science (3)
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- data wrangling (3)
- database systems (3)
- deception (3)
- decision processes (3)
- decision tree (3)
- decompositon (3)
- deduplication (3)
- deep convection (3)
- deep neural networks (3)
- deep-sea (3)
- defense against predation (3)
- definition (3)
- deforestation (3)
- degraded DNA (3)
- dehydration (3)
- delta-D values (3)
- democratic theory (3)
- democratization (3)
- dendroclimatology (3)
- denitrification (3)
- density functional theory (3)
- denudation (3)
- dependence (3)
- dependency (3)
- depressive disorder (3)
- design parameters (3)
- deutsch-jüdische Geschichte (3)
- developing countries (3)
- diabetes mellitus (3)
- diamond anvil cell (3)
- dielectric relaxation spectroscopy (3)
- differential gene expression (3)
- diffraction (3)
- diffusing diffusivity (3)
- digital elevation model (3)
- digital interventions (3)
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- dye (3)
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- dynamical model (3)
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- dysphagia (3)
- e-government (3)
- earthquake modeling (3)
- earthquake source observations (3)
- eastern south–central Andes (3)
- eating disorders (3)
- echocardiography (3)
- echolocation (3)
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- elemental composition (3)
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- ellipsometry (3)
- elliptic complexes (3)
- embedded systems (3)
- emergency management (3)
- emotional intelligence (3)
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- employment services (3)
- empowerment (3)
- emulsion polymerization (3)
- encoding (3)
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- endothelial cells (3)
- endothelin (3)
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- enjoyment (3)
- ensemble prediction (3)
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- envy (3)
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- evaporation (3)
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- frameworks (3)
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- functional (3)
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- functionalization (3)
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- gait analysis (3)
- galaxies: fundamental parameters (3)
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- gallbladder cancer (3)
- garnet (3)
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- gels (3)
- gender inequality (3)
- gene duplication (3)
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- generalizability (3)
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- glucan (3)
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- grammatical illusion (3)
- granite (3)
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- heterotrophic bacteria (3)
- hierarchical clustering (3)
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- imidazolium (3)
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- immigrants (3)
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- implicit association test (IAT) (3)
- implicit learning (3)
- in-service teacher training (3)
- inbreeding depression (3)
- incision (3)
- incremental graph pattern matching (3)
- indirect facilitation (3)
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- individual anaerobic threshold (3)
- individuelle Unterschiede (3)
- induced pluripotent stem cells (3)
- industry 4.0 (3)
- infant (3)
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- infiltration (3)
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- information integration (3)
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- intensification (3)
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- interface (3)
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- just transition (3)
- kana (3)
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- kettle hole (3)
- kidney (3)
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- knowledge sharing (3)
- kognitive Modellierung (3)
- komplexe Systeme (3)
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- körperliche Fitness (3)
- l-cysteine desulfurase (3)
- lactate threshold (3)
- land cover change (3)
- land-use (3)
- landscape diversity (3)
- landscape homogenization (3)
- langevin equation (3)
- language comprehension (3)
- language contact (3)
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- languages (3)
- large-scale (3)
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- learning and memory (3)
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- linear programming (3)
- linearized gravity (3)
- lipid (3)
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- liquid-phase catalysis (3)
- literacy acquisition (3)
- literatures of the world (3)
- liver metabolism (3)
- load (3)
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- logic (3)
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- losses (3)
- lower (3)
- lower thermosphere (3)
- lupin (3)
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- lysosomal storage disorders (3)
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- major depression (3)
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- matching (3)
- mathematical modelling (3)
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- media use (3)
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- melatonin (3)
- memory and delay (3)
- mental imagery (3)
- mesocrystals (3)
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- metabolite (3)
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- metal nitrides (3)
- meteorology (3)
- methodological quality (3)
- methods: statistical (3)
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- micro degree (3)
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- microemulsion (3)
- microgel (3)
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- micronutrients (3)
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- migrants (3)
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- minimal pairs (3)
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- minorities (3)
- missing-VP effect (3)
- mitochondrial dysfunction (3)
- mitogenome (3)
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- mitosis (3)
- mittlere Kindheit (3)
- mobile application (3)
- modal verbs (3)
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- model coupling (3)
- model transformation (3)
- model uncertainty (3)
- model-driven engineering (3)
- modellgetriebene Entwicklung (3)
- moderne jüdische Geschichte (3)
- modularity (3)
- molecular doping (3)
- molecular dynamics simulations (3)
- molybdenum (3)
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- monetary incentive delay task (3)
- monoclonal antibodies (3)
- monomer (3)
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- mood (3)
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- morphological decomposition (3)
- morphological priming (3)
- morphological structure (3)
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- morphosyntax (3)
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- motor skills (3)
- motor system (3)
- mouse (3)
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- mowing (3)
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- multi-agent system (3)
- multicultural policy (3)
- multiculturalism (3)
- multilevel modelling (3)
- multiobjective calibration (3)
- multiple stressors (3)
- multiscale analysis (3)
- multispectral (3)
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- muscle weakness (3)
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- musculoskeletal and neural physiological phenomena (3)
- music cognition (3)
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- mutation (3)
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- natural habitats (3)
- naturalism (3)
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- nearshore zone (3)
- need satisfaction (3)
- net ecosystem exchange (3)
- neural (3)
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- neuromuscular functionality (3)
- neuronal networks (3)
- neuroscience (3)
- neutral endopeptidase (3)
- neutron (3)
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- new public management (3)
- niche and fitness differences (3)
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- nominalization (3)
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- non-athletes (3)
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- ocean heat uptake (3)
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- open (3)
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- origins (3)
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- shape-memory polymer (3)
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- similarity (3)
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- simulation model (3)
- simultaneous bilingualism (3)
- singularity (3)
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- skew Brownian motion (3)
- smart materials (3)
- smartphone (3)
- soccer players (3)
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- Prediction of disability/intensity (2)
- Predictive processing (2)
- Predictor (2)
- Preference (2)
- Preference Handling (2)
- Preis der Anarchie (2)
- Pressure distribution (2)
- Preterm birth (2)
- Price of Anarchy (2)
- Primary care (2)
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- Proactive/reactive balance (2)
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- Process model (2)
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- Protein expression (2)
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- Public Service Motivation (2)
- Public administration (2)
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- Pull-Apart (2)
- Pulling isometric muscle action (2)
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- Push-pull character (2)
- Push-pull effect (2)
- Puumala virus seroprevalence (2)
- QDs (2)
- QTL (2)
- Qaidam Basin (2)
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- Quantendraht (2)
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- Query optimization (2)
- R (2)
- R Shiny (2)
- RAFT-Polymerisation (2)
- RCP scenarios (2)
- RCT (2)
- REDD+ (2)
- REE (2)
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- REVEALS (2)
- RGB-D cameras (2)
- RIXS (resonant inelastic X-ray scattering) (2)
- RNA interference (2)
- RNA virus (2)
- RNA-seq (2)
- ROK (2)
- ROMP (2)
- ROP (2)
- RP-HPLC (2)
- RP2 (2)
- RRR (2)
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- RT models (2)
- RUNX2 (2)
- Radiogenic isotopes (2)
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- Raman imaging (2)
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- Randelementmethode (2)
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- Reasoning (2)
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- Rekonstruktionsmethoden (2)
- Rekurrenzplot (2)
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- Relative clause (2)
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- Release (2)
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- Running (2)
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- SAUR (2)
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- SEIRA spectroelectrochemistry (2)
- SEPE (2)
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- SFON (2)
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- SUB1A (2)
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- Störungen (2)
- Subarctic North Pacific (2)
- Subject-verb agreement (2)
- Subjective well-being (2)
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- Syntax-semantics interface (2)
- Synthesis and processing (2)
- SysML (2)
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- Säugetiere (2)
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- TELEMAC-2D model (2)
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- Temperate forest (2)
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- To learners in which of the following categories does your work apply (2)
- Toll and Imd pathways (2)
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- WorldDEM (2)
- WorldView-2 (2)
- Worterkennung (2)
- Wuchiapingian (2)
- Wärmefluss (2)
- Wärmeleitfähigkeit (2)
- X-ray computed tomography (CT) (2)
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- a priori (2)
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- accounting (2)
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- acids (2)
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- adjustment (2)
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- afforestation (2)
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- age resetting (2)
- aged (2)
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- agitation (2)
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- agrin (2)
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- airborne (2)
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- algorithm schedules (2)
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- all-cause mortality (2)
- allgemeine Relativitätstheorie (2)
- allocation (2)
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- alpha-2 (2)
- alpha-stable Levy process (2)
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- ambiguities (2)
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- animal (2)
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- animal behavior (2)
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- animal models (2)
- anisotropic effects (2)
- ankles (2)
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- annotation (2)
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- anticipation (2)
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- antonymy (2)
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- anxiety-like behavior (2)
- apatite fission track (2)
- apis mellifera (2)
- apodemus-agrarius (2)
- apoplast (2)
- appetite (2)
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- applicant reactions (2)
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- approximate differentiability (2)
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- arabidopsis thaliana (2)
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- area-based conservation (2)
- argon dating (2)
- argument structure (2)
- argumentation mining (2)
- aridification (2)
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- array (2)
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- arthropod (2)
- artificial intelligence for health (2)
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- artificial light at night (2)
- artificial light at night (ALAN) (2)
- artificial transcription factor (2)
- ascorbate (2)
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- aspiration (2)
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- assay (2)
- assembly factor (2)
- assembly processes (2)
- assembly rules (2)
- assignments (2)
- assimilation (2)
- associative learning (2)
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- astrobiology (2)
- astrocytes (2)
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- astronomical calibration (2)
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- asylum (2)
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- attraction errors (2)
- attribute assurance (2)
- auch (2)
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- august 2002 (2)
- authentication (2)
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- autism spectrum disorder (2)
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- automated planning (2)
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- avian personalities (2)
- avirulence (2)
- axillary bud (2)
- azobenzene containing polymer films (2)
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- azobenzenes (2)
- back-pain screening (2)
- background variables (2)
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- basal body (2)
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- basic need satisfaction and frustration (2)
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- basin analysis (2)
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- basis-sets (2)
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- big-fish-little-pond-effect (2)
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- biogenesis (2)
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- biological invasion (2)
- biological maturation (2)
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- biological soil crusts (2)
- biological transport (2)
- biomarker detection (2)
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- birth-death-mutation-competition point process (2)
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- bistability (2)
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- breathing (2)
- breeding (2)
- bridge (2)
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- bromeliad (2)
- brownian-motion (2)
- browser platforms (2)
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- bullying victimization (2)
- bumps (2)
- bush encroachment (2)
- business incubators (2)
- business interruption (2)
- business model innovation (2)
- business process (2)
- business process modeling (2)
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- butyrylcholinesterase (2)
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- cGMP (2)
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- canalization (2)
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- canoe racing (2)
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- central fixation bias (2)
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- cetaceans (2)
- chains (2)
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- challenges (2)
- change of direction speed (2)
- change-of-direction speed (2)
- changement climatique (2)
- chaotic neural dynamics (2)
- chaperone (2)
- chaperones (2)
- charge carrier recombination (2)
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- chronic subordinate colony housing (CSC) (2)
- chronology (AICC2012) (2)
- chytridiomycota (2)
- circulation of knowledge (2)
- circulation patterns (2)
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- citizen-state interactions (2)
- citric acid (2)
- civil service (2)
- class-level effects (2)
- classical conditioning (2)
- classroom (2)
- classroom characteristics (2)
- classroom climate (2)
- classroom management (2)
- clause determiner (2)
- clauses (2)
- clay mineral (2)
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- client preferences (2)
- climate catastrophe (2)
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- clinical (2)
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- clinopyroxenite (2)
- clonal complex (2)
- cloud security (2)
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- cluster (2)
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- clusterin (2)
- clusters (2)
- co-expression (2)
- co-nonsolvency (2)
- co-ordination (2)
- coagulation (2)
- coarea formula (2)
- coast (2)
- coastal flood damage (2)
- coastal flooding (2)
- coastal geomorphology (2)
- coat colour (2)
- cobalt nanoparticles (2)
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- codifference (2)
- coefficients (2)
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- cognitive-control (2)
- cognitive/muscular fatigue (2)
- coherent noise (2)
- coherent phonons (2)
- cohomology (2)
- cold stress (2)
- collaborative learning (2)
- collaborative work (2)
- collection types (2)
- collective consumption context (2)
- collective motion (2)
- collision (2)
- colloid (2)
- colonial Australia (2)
- colony decline (2)
- colony viability (2)
- coloring agents (2)
- combined task and motion planning (2)
- commemorative acts of citizenship (2)
- commitment (2)
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- common‐garden experiment (2)
- community model (2)
- community theory (2)
- comorbidities (2)
- comparative (2)
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- comparative subclauses (2)
- comparison of devices (2)
- competencies (2)
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- complex network (2)
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- complex sentence processing (2)
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- compound (2)
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- compression (2)
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- computer science (2)
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- concentrated solar power (2)
- concentrating solar power (2)
- concentration (2)
- concurrent checking (2)
- conditional reasoning (2)
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- conditioning exercise (2)
- conduct disorder (2)
- confidence intervals (2)
- confidence sets (2)
- conflict (2)
- conflict management (2)
- conflict monitoring (2)
- confocal Raman microscopy (2)
- conformance checking (2)
- conformational change (2)
- conformational rearrangement (2)
- conformational-changes (2)
- confusion (2)
- congruity effect (2)
- conjugate gradient (2)
- connections between chaos and statistical physics (2)
- conscientiousness (2)
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- context factors (2)
- context sensitivity (2)
- continental collision (2)
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- continuing education activities (2)
- continuity (2)
- continuous glucose monitoring (2)
- continuous integration (2)
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- continuous simulation (2)
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- continuous time random walk (CTRW) (2)
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- contract workers (2)
- contractions (2)
- contrast effect (2)
- contrast effects (2)
- control rates (2)
- controlled polymerization (2)
- controlled trial (2)
- convective available potential energy (2)
- convective available potential energy (CAPE) (2)
- conversational implicature (2)
- conversion (2)
- converting factor (2)
- convolutional neural networks (2)
- cooperating systems (2)
- cooperative goal interdependence (2)
- cooperative phenomena (2)
- copolymerization (2)
- copper complex (2)
- copper-bearing minerals (2)
- copper-related disorders (2)
- copy number analyses (2)
- cord blood (2)
- core PG1351 (2)
- core shell UCNP (2)
- core strength (2)
- core-shell materials (2)
- core-shell nanostructure (2)
- coregistration (2)
- cori cycle (2)
- corona (2)
- corporate citizenship (2)
- corporate entrepreneurship (2)
- corporate foresight (2)
- corporate leniency program (2)
- corporate rules (2)
- corporate social responsibility (2)
- corporeality (2)
- corpus dataset (2)
- cortical network models (2)
- cortical oscillations (2)
- cosmic background radiation (2)
- cosmic ray propagation (2)
- cosmogenic radionuclides (2)
- cosmological simulations (2)
- cosmopolitanism and nationalism (2)
- cost-effectiveness (2)
- cost-effectiveness analysis (2)
- coumarins (2)
- counter-speech (2)
- counterterms (2)
- counterterrorism (2)
- country (2)
- coupled oscillators model (2)
- coupled surface (2)
- coupling (2)
- coupling methods (2)
- course timetabling (2)
- coviability analysis (2)
- cow's milk (2)
- coworking spaces (2)
- craving and relapse (2)
- creative problem solving (2)
- creative process (2)
- criminology (2)
- crisis communication (2)
- criterial (2)
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- cropping system (2)
- cross ownership (2)
- cross-cultural differences (2)
- cross-education (2)
- cross-linguistic differences (2)
- cross-linking (2)
- cross-modal generalisation (2)
- cross-modal priming (2)
- cross-national comparison (2)
- cross-species capture (2)
- crowded fluids (2)
- crowdsourcing (2)
- cruciate ligament injury (2)
- crustacean zooplankton (2)
- crustal structure (2)
- crustal thickness (2)
- cryo-electron microscopy (2)
- cryogel (2)
- cryptic species complex (2)
- cryptomycota (2)
- crystal orientation (2)
- crystal structures (2)
- crystallinity (2)
- crystallization behavior (2)
- crystals (2)
- cues (2)
- culling of male chickens (2)
- cultural conceptualisations (2)
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- cultural minority youth (2)
- culture, identity, and inclusion (2)
- curriculum development (2)
- customer acceptance (2)
- customization (2)
- cyanobacterial bloom (2)
- cyanobacterial sucrose-phosphatase (2)
- cyber-physische Systeme (2)
- cyberaggression (2)
- cybersecurity (2)
- cycle (2)
- cyclic AMP (2)
- cycling (2)
- cyclooxygenase (2)
- cysteine alkylation (2)
- cytochrome P450 17A1 (Cyp17A1) (2)
- cytoplasm (2)
- cytoplasmic polyadenylation (2)
- cytotype (2)
- dark ages (2)
- dark virus (2)
- data cleaning (2)
- data pipeline (2)
- data privacy (2)
- data protection (2)
- data scarcity (2)
- data sharing (2)
- data synthesis (2)
Institut
- Institut für Physik und Astronomie (4766)
- Institut für Biochemie und Biologie (4589)
- Institut für Geowissenschaften (3201)
- Institut für Chemie (2817)
- Institut für Mathematik (1547)
- Department Psychologie (1383)
- Institut für Ernährungswissenschaft (998)
- Department Linguistik (904)
- Wirtschaftswissenschaften (824)
- Institut für Informatik und Computational Science (788)
The Arctic is the hot spot of the ongoing, global climate change. Over the last decades, near-surface temperatures in the Arctic have been rising almost four times faster than on global average. This amplified warming of the Arctic and the associated rapid changes of its environment are largely influenced by interactions between individual components of the Arctic climate system. On daily to weekly time scales, storms can have major impacts on the Arctic sea-ice cover and are thus an important part of these interactions within the Arctic climate. The sea-ice impacts of storms are related to high wind speeds, which enhance the drift and deformation of sea ice, as well as to changes in the surface energy budget in association with air mass advection, which impact the seasonal sea-ice growth and melt.
The occurrence of storms in the Arctic is typically associated with the passage of transient cyclones. Even though the above described mechanisms how storms/cyclones impact the Arctic sea ice are in principal known, there is a lack of statistical quantification of these effects. In accordance with that, the overarching objective of this thesis is to statistically quantify cyclone impacts on sea-ice concentration (SIC) in the Atlantic Arctic Ocean over the last four decades. In order to further advance the understanding of the related mechanisms, an additional objective is to separate dynamic and thermodynamic cyclone impacts on sea ice and assess their relative importance. Finally, this thesis aims to quantify recent changes in cyclone impacts on SIC. These research objectives are tackled utilizing various data sets, including atmospheric and oceanic reanalysis data as well as a coupled model simulation and a cyclone tracking algorithm.
Results from this thesis demonstrate that cyclones are significantly impacting SIC in the Atlantic Arctic Ocean from autumn to spring, while there are mostly no significant impacts in summer. The strength and the sign (SIC decreasing or SIC increasing) of the cyclone impacts strongly depends on the considered daily time scale and the region of the Atlantic Arctic Ocean. Specifically, an initial decrease in SIC (day -3 to day 0 relative to the cyclone) is found in the Greenland, Barents and Kara Seas, while SIC increases following cyclones (day 0 to day 5 relative to the cyclone) are mostly limited to the Barents and Kara Seas.
For the cold season, this results in a pronounced regional difference between overall (day -3 to day 5 relative to the cyclone) SIC-decreasing cyclone impacts in the Greenland Sea and overall SIC-increasing cyclone impacts in the Barents and Kara Seas. A cyclone case study based on a coupled model simulation indicates that both dynamic and thermodynamic mechanisms contribute to cyclone impacts on sea ice in winter. A typical pattern consisting of an initial dominance of dynamic sea-ice changes followed by enhanced thermodynamic ice growth after the cyclone passage was found. This enhanced ice growth after the cyclone passage most likely also explains the (statistical) overall SIC-increasing effects of cyclones in the Barents and Kara Seas in the cold season.
Significant changes in cyclone impacts on SIC over the last four decades have emerged throughout the year. These recent changes are strongly varying from region to region and month to month. The strongest trends in cyclone impacts on SIC are found in autumn in the Barents and Kara Seas. Here, the magnitude of destructive cyclone impacts on SIC has approximately doubled over the last four decades. The SIC-increasing effects following the cyclone passage have particularly weakened in the Barents Sea in autumn. As a consequence, previously existing overall SIC-increasing cyclone impacts in this region in autumn have recently disappeared. Generally, results from this thesis show that changes in the state of the sea-ice cover (decrease in mean sea-ice concentration and thickness) and near-surface air temperature are most important for changed cyclone impacts on SIC, while changes in cyclone properties (i.e. intensity) do not play a significant role.
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.
This work analyzed functional and regulatory aspects of the so far little characterized EPSIN N-terminal Homology (ENTH) domain-containing protein EPSINOID2 in Arabidopsis thaliana. ENTH domain proteins play accessory roles in the formation of clathrin-coated vesicles (CCVs) (Zouhar and Sauer 2014). Their ENTH domain interacts with membranes and their typically long, unstructured C-terminus contains binding motifs for adaptor protein complexes and clathrin itself. There are seven ENTH domain proteins in Arabidopsis. Four of them possess the canonical long C-terminus and participate in various, presumably CCV-related intracellular transport processes (Song et al. 2006; Lee et al. 2007; Sauer et al. 2013; Collins et al. 2020; Heinze et al. 2020; Mason et al. 2023). The remaining three ENTH domain proteins, however, have severely truncated C-termini and were termed EPSINOIDs (Zouhar and Sauer 2014; Freimuth 2015). Their functions are currently unclear. Preceding studies focusing on EPSINOID2 indicated a role in root hair formation: epsinoid2 T DNA mutants exhibited an increased root hair density and EPSINOID2-GFP was specifically located in non-hair cell files in the Arabidopsis root epidermis (Freimuth 2015, 2019).
In this work, it was clearly shown that loss of EPSINOID2 leads to an increase in root hair density through analyses of three independent mutant alleles, including a newly generated CRISPR/Cas9 full deletion mutant. The ectopic root hairs emerging from non-hair positions in all epsinoid2 mutant alleles are most likely not a consequence of altered cell fate, because extensive genetic analyses placed EPSINOID2 downstream of the established epidermal patterning network. Thus, EPSINOID2 seems to act as a cell autonomous inhibitor of root hair formation. Attempts to confirm this hypothesis by ectopically overexpressing EPSINOID2 led to the discovery of post-transcriptional and -translational regulation through different mechanisms. One involves the little characterized miRNA844-3p. Interference with this pathway resulted in ectopic EPSINOID2 overexpression and decreased root hair density, confirming it as negative factor in root hair formation. A second mechanism likely involves proteasomal degradation. Treatment with proteasomal inhibitor MG132 led to EPSINOID2-GFP accumulation, and a KEN box degron motif was identified in the EPSINOID2 sequence associated with degradation through a ubiquitin/proteasome-dependent pathway. In line with a tight dose regulation, genetic analyses of all three mutant alleles indicate that EPSINOID2 is haploinsufficient. Lastly, it was revealed that, although EPSINOID2 promoter activity was found in all epidermal cells, protein accumulation was observed in N-cells only, hinting at yet another layer of regulation.
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.
Spring Issue
(2024)
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.
This study evaluates the challenges, institutional impacts and responses of German local authorities to the COVID-19 pandemic from a political science point of view. The main research question is how they have contributed to combat the COVID-19 pandemic and to what extent the strengths and weaknesses of the German model of municipal autonomy have influenced their policy. It analyses the adaptation strategies of German local authorities and assesses the effectiveness of their actions up to now. Their implementation is then evaluated in five selected issues, e.g. adjustment organization and staff, challenges for local finances, local politics and citizen’s participation. This analysis is reflecting the scientific debate in Germany since the beginning of 2020, based on the available analyses of political science, law, economics, sociology and geography until end of March 2021.
Weathering the storm?
(2023)
Democratization scholars are currently debating if we are indeed witnessing a third wave of autocratization. While this has led to an extensive debate about the future of the liberal international order, we still know relatively little about the consequences of autocratization for international organizations (IOs). In this article, we explore to what extent autocratization has led to changes in the composition of IO membership. We propose three different ways of conceptualizing autocratization of IO membership. We argue that we should move away from a dichotomous understanding of regime type and regime change, but rather focus on composition of subregime types to understand current developments. We build on updated membership data for 73 IOs through 2020 to map membership configurations based on the V-Dem Electoral Democracy Index. Contrary to current debates on the crisis of the liberal order, we find that many IOs are not (yet) affected by broad autocratization of their membership that would endanger democratic majorities or overall democratic densities. However, we also observe the disappearance of formerly homogenous democratic clubs due to democratic backsliding in a number of European and Latin American IO member states, as well as a return of autocratic clubs in Southeast Asia and Southern Africa. These findings have important implications for the broader research agenda on international democracy promotion and human right protection as well as the study of legitimacy and the effectiveness of international organizations.
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.