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- hydrodynamics (13)
- meta-analysis (13)
- perovskite solar cells (13)
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- relativistic processes (13)
- sentence comprehension (13)
- social media (13)
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- Adolescents (12)
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- learning (12)
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- processing (12)
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- shock waves (12)
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- stress (12)
- stretch-shortening cycle (12)
- synthesis (12)
- uncertainty (12)
- Answer set programming (11)
- Biomarker (11)
- Education (11)
- European Union (11)
- Exercise (11)
- Galaxy: evolution (11)
- ISM: abundances (11)
- Individual-based model (11)
- MHD (11)
- Microsatellites (11)
- Migration (11)
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- N400 (11)
- NMR spectroscopy (11)
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- azobenzene (11)
- cardiac rehabilitation (11)
- climate policy (11)
- conformational analysis (11)
- connectivity (11)
- dementia (11)
- diversity (11)
- earthquake (11)
- experiment (11)
- floods (11)
- gamma rays: stars (11)
- gene expression (11)
- metathesis (11)
- personality (11)
- phylogeny (11)
- plasmas (11)
- resilience (11)
- resistance training (11)
- self-efficacy (11)
- sensitivity (11)
- singlet oxygen (11)
- sonography (11)
- stars: winds (11)
- strength training (11)
- transcription factor (11)
- validity (11)
- young athletes (11)
- Central Asia (10)
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- English (10)
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- ISM: clouds (10)
- India (10)
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- Russia (10)
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- Spanish (10)
- Sun: photosphere (10)
- affect (10)
- block copolymers (10)
- carotenoids (10)
- cognition (10)
- decision-making (10)
- deep learning (10)
- ecosystem services (10)
- epigenetics (10)
- flood risk (10)
- food quality (10)
- forecasting (10)
- galaxies: high-redshift (10)
- gamma rays: ISM (10)
- gamma-ray burst: general (10)
- heterogeneity (10)
- higher education (10)
- interoception (10)
- management (10)
- memory (10)
- metabolomics (10)
- networks (10)
- numerical cognition (10)
- polymers (10)
- potassium (10)
- power (10)
- radiation belts (10)
- risk factors (10)
- ruthenium (10)
- sexual aggression (10)
- simulation (10)
- speech perception (10)
- starch (10)
- sustainability (10)
- techniques: imaging spectroscopy (10)
- techniques: photometric (10)
- theory (10)
- translation (10)
- validation (10)
- zooplankton (10)
- Anxiety (9)
- Attention (9)
- Biogeography (9)
- Caenorhabditis elegans (9)
- Central Andes (9)
- DNA (9)
- Diatoms (9)
- Electromyography (9)
- Erosion (9)
- Evaluation (9)
- Eye tracking (9)
- ISM: structure (9)
- Inverse theory (9)
- Italy (9)
- Kinetics (9)
- Mass spectrometry (9)
- Numerical cognition (9)
- Ostracoda (9)
- Oxidative stress (9)
- Paleoclimate (9)
- Pamir (9)
- Physical activity (9)
- Precipitation (9)
- Pregnancy (9)
- Spectroscopy (9)
- Sun: chromosphere (9)
- Turkish (9)
- Wave propagation (9)
- X-ray (9)
- acid sphingomyelinase (9)
- activity (9)
- answer set programming (9)
- biomarker (9)
- calcium (9)
- ceramide (9)
- cholesterol (9)
- click chemistry (9)
- cosmogenic nuclides (9)
- crystal structure (9)
- cyberbullying (9)
- dark ages, reionization, first stars (9)
- dark matter (9)
- diabetes (9)
- digital transformation (9)
- discrimination (9)
- dispersal (9)
- education (9)
- electromyography (9)
- empathy (9)
- epidemiology (9)
- fluorescent probes (9)
- galaxies: interactions (9)
- hydrology (9)
- induced seismicity (9)
- interactions (9)
- ionic liquids (9)
- landscape evolution (9)
- mathematics (9)
- metabarcoding (9)
- metabolism (9)
- models (9)
- phosphorus (9)
- precipitation (9)
- quality of life (9)
- race (9)
- random forest (9)
- reactive oxygen species (9)
- soil moisture (9)
- stars: AGB and post-AGB (9)
- stars: kinematics and dynamics (9)
- stars: rotation (9)
- surface plasmon resonance (9)
- techniques: polarimetric (9)
- thermochronology (9)
- time series analysis (9)
- vulnerability (9)
- Adaptive Force (8)
- Africa (8)
- Aggression (8)
- Alcohol dependence (8)
- Andes (8)
- Answer Set Programming (8)
- Arenes (8)
- Asia (8)
- Chlamydomonas (8)
- DFT (8)
- DFT calculations (8)
- Digitalisierung (8)
- Doping (8)
- Ecosystem services (8)
- Emotion (8)
- Escherichia coli (8)
- Experiment (8)
- Eye-tracking (8)
- Fragmentation (8)
- Gene expression (8)
- Individual differences (8)
- Infancy (8)
- Ion mobility spectrometry (8)
- Mitochondria (8)
- Morphology (8)
- NICS (8)
- Performance (8)
- Permafrost (8)
- Phosphorus (8)
- Phylogeny (8)
- Pleistocene (8)
- Principal component analysis (8)
- Quality of life (8)
- Quaternary (8)
- Rehabilitation (8)
- Sentence comprehension (8)
- Sphingolipids (8)
- Stability (8)
- Sun: filaments, prominences (8)
- Theoretical calculations (8)
- Through-space NMR shieldings (TSNMRS) (8)
- adsorption (8)
- ageing (8)
- behavior (8)
- biogeography (8)
- biomass (8)
- conservation (8)
- convection (8)
- cosmology: observations (8)
- culture (8)
- cytotoxicity (8)
- damage (8)
- data assimilation (8)
- democracy (8)
- density functional calculations (8)
- derivation (8)
- diatoms (8)
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- electron transfer (8)
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- galaxies: dwarf (8)
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- ADHD (7)
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- galaxies: abundances (7)
- gene flow (7)
- global warming (7)
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- imaging (7)
- inclusion (7)
- inflection (7)
- inhibition (7)
- international organizations (7)
- ion mobility spectrometry (7)
- justice sensitivity (7)
- kinetics (7)
- magnetosphere (7)
- masked priming (7)
- mass spectrometry (7)
- microstructure (7)
- movement (7)
- neural networks (7)
- numerical modeling (7)
- paleoclimate (7)
- peptides (7)
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- phenotypic plasticity (7)
- plasticity (7)
- polymerization (7)
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- protein (7)
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- review (7)
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- risk (7)
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- scene viewing (7)
- sexual scripts (7)
- solar wind (7)
- species richness (7)
- sphingolipids (7)
- stars: emission-line, Be (7)
- strength (7)
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- sunspots (7)
- surface chemistry (7)
- syntax (7)
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- time (7)
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- Apoptosis (6)
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- Assessment (6)
- Bayesian data analysis (6)
- Berlin (6)
- Bioelectrocatalysis (6)
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- Carbon (6)
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- Conversation Analysis (6)
- Deep learning (6)
- Deutschland (6)
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- Englischunterricht (6)
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- Frühe Neuzeit (6)
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- H II regions (6)
- HIV (6)
- Hertzsprung-Russell and C-M diagrams (6)
- Higher education (6)
- ISM: kinematics and dynamics (6)
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- Industry 4.0 (6)
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- Instructional quality (6)
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- Interest (6)
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- Lakes (6)
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- Landslide (6)
- Lepus europaeus (6)
- LiDAR (6)
- Local Group (6)
- Longitudinal (6)
- Mental arithmetic (6)
- Mental disorders (6)
- Mental health (6)
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- Mortality (6)
- Movement (6)
- Nutrients (6)
- Oxygen heterocycles (6)
- PHREEQC (6)
- Paleolimnology (6)
- Perceptual span (6)
- Phenotypic plasticity (6)
- Phylogeography (6)
- Prenatal stress (6)
- Prevention (6)
- Professional development (6)
- Prosody (6)
- Prunus avium L. (6)
- Pseudomonas aeruginosa (6)
- Reinforcement learning (6)
- Reliability (6)
- Russian (6)
- Seasonality (6)
- Security (6)
- Seismic tomography (6)
- Self-efficacy (6)
- Self-paced reading (6)
- Soil erosion (6)
- Soil moisture (6)
- Southeast Asia (6)
- Spain (6)
- Speech perception (6)
- Sphingosine 1-phosphate (6)
- Stable isotopes (6)
- Subduction zone processes (6)
- Theoretical seismology (6)
- Thermokarst (6)
- Time reference (6)
- Time series analysis (6)
- Topography (6)
- Toxicity (6)
- Type 2 diabetes (6)
- Uncertainty (6)
- Validation (6)
- Vitamin A (6)
- Water (6)
- Westerlies (6)
- Wind erosion (6)
- World Bank (6)
- X-rays: ISM (6)
- Younger Dryas (6)
- Youth (6)
- academic achievement (6)
- accountability (6)
- acculturation (6)
- activation (6)
- additive manufacturing (6)
- adolescent (6)
- binding (6)
- bioinformatics (6)
- biomaterial (6)
- calcium phosphate (6)
- cardiovascular disease (6)
- cardiovascular diseases (6)
- centrosome (6)
- chronic kidney disease (6)
- circumstellar matter (6)
- classical reception (6)
- clustering (6)
- co-citation analysis (6)
- community effect (6)
- comparison (6)
- computational modeling (6)
- cooperation (6)
- coronary artery disease (6)
- correlation (6)
- cortisol (6)
- creativity (6)
- crisis (6)
- crisis management (6)
- crystallization (6)
- design thinking (6)
- diffuse radiation (6)
- distribution (6)
- doping (6)
- dust, extinction (6)
- electrospinning (6)
- energy policy (6)
- evidentiality (6)
- exhaustivity (6)
- experiments (6)
- exposure (6)
- flexibility (6)
- forest management (6)
- functional diversity (6)
- functional magnetic resonance imaging (6)
- geochronology (6)
- grain size (6)
- human behaviour (6)
- hydrogel (6)
- immigration (6)
- impact (6)
- index (6)
- information structure (6)
- institutions (6)
- intelligence (6)
- ionic liquid (6)
- isomerization (6)
- lamin (6)
- land-use change (6)
- late bilinguals (6)
- lidar (6)
- light pollution (6)
- lipids (6)
- local government (6)
- mental arithmetic (6)
- mental disorders (6)
- microsatellites (6)
- monsoon (6)
- muscle strength (6)
- nitrogen deposition (6)
- nutrients (6)
- operational momentum (6)
- organic photovoltaics (6)
- osteoporosis (6)
- palaeogenomics (6)
- persistence (6)
- photoluminescence (6)
- planetary nebulae: general (6)
- planets and satellites: rings (6)
- plasma (6)
- polyunsaturated fatty acids (6)
- propensity score matching (6)
- proteasome (6)
- psycholinguistics (6)
- psychotherapy training (6)
- quality (6)
- quality assurance (6)
- quantification (6)
- radical polymerization (6)
- rape (6)
- reactive transport (6)
- recovery (6)
- reproducibility (6)
- residual stress (6)
- screening (6)
- secular trend (6)
- sediment (6)
- sedimentary ancient DNA (6)
- self-paced reading (6)
- shape-memory effect (6)
- spatial frequencies (6)
- speech (6)
- starch metabolism (6)
- stars (6)
- stars: horizontal-branch (6)
- stimuli-sensitive polymers (6)
- subduction zone (6)
- sulfur (6)
- synthetic biology (6)
- systematic literature review (6)
- systematic review (6)
- techniques: image processing (6)
- tectonics (6)
- training load (6)
- type 2 diabetes (6)
- AFM (5)
- Absorption (5)
- African Humid Period (5)
- Ageing (5)
- Algeria (5)
- Algorithms (5)
- Antarctica (5)
- Argentina (5)
- Argumentationstheorie (5)
- Aromaticity (5)
- Arsenic-containing hydrocarbons (5)
- Asteraceae (5)
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- BPMN (5)
- Bacteria (5)
- Bilingualism (5)
- Biodiversity Exploratories (5)
- Biodiversity exploratories (5)
- Biomaterial (5)
- Biosensors (5)
- Block copolymers (5)
- Boric acid (5)
- Boron exposure (5)
- COVID-19 pandemic (5)
- Carbohydrates (5)
- Chytridiomycota (5)
- Click chemistry (5)
- Cognitive control (5)
- Complex networks (5)
- Computational modelling (5)
- Computational seismology (5)
- Conservation (5)
- Coping (5)
- Copper (5)
- Cosmogenic nuclides (5)
- DRD4 (5)
- Data assimilation (5)
- Database (5)
- Decomposition (5)
- Deutsche Literatur der Frühen Neuzeit (5)
- Dexamethasone (5)
- Disturbance (5)
- EPR (5)
- Energy (5)
- Epigenetics (5)
- Fetal programming (5)
- Flood (5)
- Fokker-Planck equation (5)
- Food quality (5)
- Geomagnetic field (5)
- Geomorphology (5)
- Geostatistics (5)
- Grassland (5)
- Grundschule (5)
- Habitat fragmentation (5)
- Heiner Müller (5)
- Heterocycles (5)
- Hypertension (5)
- ISM: jets and outflows (5)
- ISM: lines and bands (5)
- Imaging (5)
- Inclusion (5)
- Induced seismicity (5)
- Industrie 4.0 (5)
- Insulin resistance (5)
- Insurance (5)
- Intervention (5)
- Janus emulsions (5)
- Kant (5)
- Lactones (5)
- Land-use intensity (5)
- Landslides (5)
- Language acquisition (5)
- Language production (5)
- Last Glacial Maximum (5)
- Late Holocene (5)
- Late Pleistocene (5)
- Learning (5)
- Leguminosae (5)
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- Mandarin Chinese (5)
- Mediterranean (5)
- Meta-analysis (5)
- Metabolism (5)
- Metabolomics (5)
- Metathesis (5)
- Microcystis aeruginosa (5)
- Microtubules (5)
- Modeling (5)
- Modelling (5)
- Molecularly imprinted polymers (5)
- Monsoon (5)
- Movement ecology (5)
- Muscle strength (5)
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- acceleration (4)
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- accretion, accretion disks (4)
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- change of direction (4)
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- classification (4)
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- community effect on height (4)
- competence (4)
- conjugated polymers (4)
- construction (4)
- context (4)
- contrast (4)
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- coping (4)
- core (4)
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- cue-based retrieval (4)
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- cyclic voltammetry (4)
- data (4)
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- eye-movement monitoring (4)
- fNIRS (4)
- facilitation (4)
- feminism (4)
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- first passage time (4)
- first-passage time (4)
- flood risk management (4)
- flooding (4)
- fluorescence correlation spectroscopy (4)
- force (4)
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- galaxies: fundamental parameters (4)
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- low-energy electrons (4)
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- neutrinos (4)
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- reflection (4)
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- retinol-binding protein 4 (4)
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- salt stress (4)
- school children (4)
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- self-healing (4)
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- sensitivity analysis (4)
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- shape memory (4)
- sharing economy (4)
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- silicon (4)
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- site effects (4)
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- speed (4)
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- starch phosphorylation (4)
- stars: black holes (4)
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- starspots (4)
- statistical seismology (4)
- stochastic models (4)
- stochastic resetting (4)
- strategic growth adjustments (4)
- stroke (4)
- structure elucidation (4)
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- sustainable development (4)
- systems biology (4)
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- teaching quality (4)
- thaliana (4)
- therapy (4)
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- thermoresponsive polymers (4)
- time series (4)
- tracking (4)
- training adaptation (4)
- transcriptional memory (4)
- transcriptome (4)
- transfer (4)
- transition (4)
- transport (4)
- trunk (4)
- tundra (4)
- type 2 diabetes mellitus (4)
- uncertainty quantification (4)
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- zebrafish (4)
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- AC electrokinetics (3)
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- Atlantic meridional overturning circulation (3)
- Attrition (3)
- Auxin (3)
- Auxin transport (3)
- Azobenzene containing cationic surfactants (3)
- BDNF (3)
- BL Lacertae objects: individual: Mrk 421 (3)
- BL Lacertae objects: individual: PKS 2155-304 (3)
- BMI (3)
- Base pairing (3)
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- Bibliometric analysis (3)
- Big Five (3)
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- (Anti)aromaticity (2)
- ) (2)
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- Seismic monitoring and test-ban treaty verification (2)
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- Seismotectonics (2)
- Selection (2)
- Selection vs. age-class forests (2)
- Self (2)
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- Self-concept (2)
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- Semantic preview benefit (2)
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- Shape-memory effect (2)
- Shape-memory polymer (2)
- Shire River (2)
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- Signal detection theory (2)
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- Signaling (2)
- Signalling (2)
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- Small (2)
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- acidophile (2)
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- attachment (2)
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- communities (2)
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- consciousness for fair consumption (2)
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- continuous time random walk (CTRW) (2)
- conversational agents (2)
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- cooperating systems (2)
- coping strategies (2)
- coping styles (2)
- copolymerization (2)
- core-shell (2)
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- corpus analysis (2)
- corpus study (2)
- correlated noise (2)
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- cost-benefit analysis (2)
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- cost-effectiveness analysis (2)
- cost-utility analysis (2)
- coumarins (2)
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- counting (2)
- coupled oscillators (2)
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- course design (2)
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- critical avalanche dynamics (2)
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- crowding (2)
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- crust (2)
- crustal thickness (2)
- cryolithology (2)
- crystal structures (2)
- crystalline (2)
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- cue validity (2)
- cultural conceptualisations (2)
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- cyberbullying victimization (2)
- cyclooxygenase (2)
- cylindrical geometry (2)
- cytochrome c (2)
- cytokine (2)
- cytosine methylation (2)
- cytoskeleton (2)
- data matching (2)
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- de Rham complex (2)
- debris flow (2)
- debt (2)
- decision processes (2)
- decision tree (2)
- decompositon (2)
- deep neural networks (2)
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- defense against predation (2)
- definition (2)
- degradable polymers (2)
- degraded DNA (2)
- dehydration (2)
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- denudation (2)
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- design (2)
- determinants (2)
- determinants of plant community diversity and structure (2)
- developing countries (2)
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- ecoevolutionary dynamics (2)
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- ecosystem processes (2)
- edge-driven convection (2)
- effectors (2)
- effects (2)
- efficient (2)
- efficient method (2)
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- elections (2)
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- electrodes (2)
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- electropolymerization (2)
- elemental composition (2)
- elementary school (2)
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- everyday life (2)
- evidence (2)
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- flood (2)
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- flood risk analysis (2)
- floodplain sedimentation (2)
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- fluid migration (2)
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- fluid-rock interaction (2)
- fluids (2)
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- fluorescent dyes (2)
- fluoroethylenepropylene (FEP) copolymer (2)
- fluvial geomorphology (2)
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- flux (2)
- follower turnover intentions (2)
- food neophilia (2)
- food preference (2)
- food preferences (2)
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- gels (2)
- gender gap (2)
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- genealogy (2)
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- generators (2)
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- gibberellic acid (2)
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- glaciers (2)
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- global south (2)
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- glomerular filtration rate (2)
- glucocorticoid receptor (2)
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- glucosinolates (2)
- glutathione (2)
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- grade retention (2)
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- grain-size distribution (2)
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- groundwater (2)
- groundwater flow (2)
- groundwater recharge (2)
- grouping (2)
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- hemodynamics (2)
- hemoglobin (2)
- hepatic steatosis (2)
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- heterogeneous catalysis (2)
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- histone modification (2)
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- holding isometric muscle action (HIMA) (2)
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- humidity (2)
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- hydrolysis (2)
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- imidazolium (2)
- immigrant (2)
- immunoassay (2)
- immunology (2)
- impacts (2)
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- implicit learning (2)
- in-service teacher training (2)
- inclination shallowing (2)
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- indigenous people (2)
- indirect facilitation (2)
- induced pluripotent stem cells (2)
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- industry 4.0 (2)
- inequalities (2)
- inertial measurement unit (2)
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- inflammatory bowel disease (2)
- influenza (2)
- information integration (2)
- information technology (2)
- information theory (2)
- infrared thermography (2)
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- infrared: general (2)
- inorganic carbon uptake kinetics (2)
- input frequency (2)
- insect (2)
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- institutional interplay (2)
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- instrumentation: miscellaneous (2)
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- interactional linguistics (2)
- interest (2)
- interface recombination (2)
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- interferometry (2)
- interindividual differences (2)
- interleukin-8 (2)
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- ion exchange (2)
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- ionic liquid crystals (2)
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- ionospheric precursors of earthquakes (2)
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- isotopic tiling theory (2)
- iterative regularization (2)
- jasmonic acid (2)
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- jumps (2)
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- kana (2)
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- kidney (2)
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- kinetic instabilities (2)
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- knee (2)
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- knowledge representation and nonmonotonic reasoning (2)
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- lactate threshold (2)
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- land-use (2)
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- language and aging (2)
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- legitimacy (2)
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- low (2)
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- lutherische Theologie (2)
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- mitogenome (2)
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- power spectral analysis (2)
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- preference assessment (2)
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- prefixes (2)
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- preprocessing (2)
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- protein search (2)
- protein translocation (2)
- protein-phenol interactions (2)
- protein-protein (2)
- proteomic analysis (2)
- protest (2)
- protonation (2)
- prototype-willingness-model (2)
- provenance (2)
- psychische Störungen (2)
- psycho-oncology (2)
- psychological detachment (2)
- psychological distress (2)
- psychological problems (2)
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Institute
- Institut für Physik und Astronomie (4100)
- Institut für Biochemie und Biologie (3753)
- Institut für Geowissenschaften (2802)
- Institut für Chemie (2405)
- Department Psychologie (1756)
- Wirtschaftswissenschaften (1110)
- Historisches Institut (1091)
- Institut für Romanistik (1072)
- Institut für Mathematik (1047)
- Sozialwissenschaften (1029)
The active global SARS-CoV-2 pandemic caused more than 426 million cases and 5.8 million deaths worldwide. The development of completely new drugs for such a novel disease is a challenging, time intensive process. Despite researchers around the world working on this task, no effective treatments have been developed yet. This emphasizes the importance of drug repurposing, where treatments are found among existing drugs that are meant for different diseases. A common approach to this is based on knowledge graphs, that condense relationships between entities like drugs, diseases and genes. Graph neural networks (GNNs) can then be used for the task at hand by predicting links in such knowledge graphs. Expanding on state-of-the-art GNN research, Doshi et al. recently developed the Dr-COVID model. We further extend their work using additional output interpretation strategies. The best aggregation strategy derives a top-100 ranking of 8,070 candidate drugs, 32 of which are currently being tested in COVID-19-related clinical trials. Moreover, we present an alternative application for the model, the generation of additional candidates based on a given pre-selection of drug candidates using collaborative filtering. In addition, we improved the implementation of the Dr-COVID model by significantly shortening the inference and pre-processing time by exploiting data-parallelism. As drug repurposing is a task that requires high computation and memory resources, we further accelerate the post-processing phase using a new emerging hardware-we propose a new approach to leverage the use of high-capacity Non-Volatile Memory for aggregate drug ranking.
Psychology and nutritional science research has highlighted the impact of negative emotions and cognitive load on calorie consumption behaviour using subjective questionnaires. Isolated studies in other domains objectively assess cognitive load without considering its effects on eating behaviour. This study aims to explore the potential for developing an integrated eating behaviour assistant system that incorporates cognitive load factors. Two experimental sessions were conducted using custom-developed experimentation software to induce different stimuli. During these sessions, we collected 30 h of physiological, food consumption, and affective states questionnaires data to automatically detect cognitive load and analyse its effect on food choice. Utilising grid search optimisation and leave-one-subject-out cross-validation, a support vector machine model achieved a mean classification accuracy of 85.12% for the two cognitive load tasks using eight relevant features. Statistical analysis was performed on calorie consumption and questionnaire data. Furthermore, 75% of the subjects with higher negative affect significantly increased consumption of specific foods after high-cognitive-load tasks. These findings offer insights into the intricate relationship between cognitive load, affective states, and food choice, paving the way for an eating behaviour assistant system to manage food choices during cognitive load. Future research should enhance system capabilities and explore real-world applications.
The detection of communities in graph datasets provides insight about a graph's underlying structure and is an important tool for various domains such as social sciences, marketing, traffic forecast, and drug discovery. While most existing algorithms provide fast approaches for community detection, their results usually contain strictly separated communities. However, most datasets would semantically allow for or even require overlapping communities that can only be determined at much higher computational cost. We build on an efficient algorithm, FOX, that detects such overlapping communities. FOX measures the closeness of a node to a community by approximating the count of triangles which that node forms with that community. We propose LAZYFOX, a multi-threaded adaptation of the FOX algorithm, which provides even faster detection without an impact on community quality. This allows for the analyses of significantly larger and more complex datasets. LAZYFOX enables overlapping community detection on complex graph datasets with millions of nodes and billions of edges in days instead of weeks. As part of this work, LAZYFOX's implementation was published and is available as a tool under an MIT licence at https://github.com/TimGarrels/LazyFox.
Background
The aggregation of a series of N-of-1 trials presents an innovative and efficient study design, as an alternative to traditional randomized clinical trials. Challenges for the statistical analysis arise when there is carry-over or complex dependencies of the treatment effect of interest.
Methods
In this study, we evaluate and compare methods for the analysis of aggregated N-of-1 trials in different scenarios with carry-over and complex dependencies of treatment effects on covariates. For this, we simulate data of a series of N-of-1 trials for Chronic Nonspecific Low Back Pain based on assumed causal relationships parameterized by directed acyclic graphs. In addition to existing statistical methods such as regression models, Bayesian Networks, and G-estimation, we introduce a carry-over adjusted parametric model (COAPM).
Results
The results show that all evaluated existing models have a good performance when there is no carry-over and no treatment dependence. When there is carry-over, COAPM yields unbiased and more efficient estimates while all other methods show some bias in the estimation. When there is known treatment dependence, all approaches that are capable to model it yield unbiased estimates. Finally, the efficiency of all methods decreases slightly when there are missing values, and the bias in the estimates can also increase.
Conclusions
This study presents a systematic evaluation of existing and novel approaches for the statistical analysis of a series of N-of-1 trials. We derive practical recommendations which methods may be best in which scenarios.
Giving emotional intelligence to machines can facilitate the early detection and prediction of mental diseases and symptoms. Electroencephalography (EEG)-based emotion recognition is widely applied because it measures electrical correlates directly from the brain rather than indirect measurement of other physiological responses initiated by the brain. Therefore, we used non-invasive and portable EEG sensors to develop a real-time emotion classification pipeline. The pipeline trains different binary classifiers for Valence and Arousal dimensions from an incoming EEG data stream achieving a 23.9% (Arousal) and 25.8% (Valence) higher F1-Score on the state-of-art AMIGOS dataset than previous work. Afterward, the pipeline was applied to the curated dataset from 15 participants using two consumer-grade EEG devices while watching 16 short emotional videos in a controlled environment. Mean F1-Scores of 87% (Arousal) and 82% (Valence) were achieved for an immediate label setting. Additionally, the pipeline proved to be fast enough to achieve predictions in real-time in a live scenario with delayed labels while continuously being updated. The significant discrepancy from the readily available labels on the classification scores leads to future work to include more data. Thereafter, the pipeline is ready to be used for real-time applications of emotion classification.
The 2022 Kunming-Montreal Global Biodiversity Framework (GBF) and Paris Agreement (PA) are highly complementary agreements where each depends on the other’s success to be effective. The GBF offers a very specific framework of interim goals and targets that break down the objective of the Convention on Biodiversity (CBD) into a decade-spanning work plan. Comprised of 10 sections – including a 2050 vision and a 2030 mission, four overarching goals and 23 specific targets – the GBF is expected to guide biodiversity policy around the world in the coming years to decades. A similar set of global interim climate policy targets could translate the global temperature goal into concrete policy milestones that would provide policy makers and civil society with reference points for policy making and efforts to hold governments accountable. Beyond inspiring climate policy experts to convert temperature goals into policy milestones, GBF has the potential to strengthen the implementation of the PA at the nexus of biodiversity and climate (adaptation and mitigation) action. For example, the GBF can help to ensure that nature-based climate solutions are implemented with full consideration of biodiversity concerns, of the rights and interests of Indigenous Peoples and local communities, and with fair and transparent benefit sharing arrangements. In sum, the GBF should be mandatory reading for all climate policy makers.
Introduction General and particularly sport-specific testing is an integral aspect of performance optimization in artistic gymnastics. In artistic gymnastics, however, only non-specific field tests have been used to assess endurance performance (e.g., Multistage Shuttle Run Test; Cooper's Test).
Methods This study aimed to examine the validity of a new sport-specific endurance test in artistic gymnastics. Fourteen elite-level gymnasts (i.e., eight males and six females) participated in this study. The newly developed artistic gymnastics-specific endurance test (AGSET) was conducted on two different occasions seven days apart to determine its reliability. To assess the concurrent validity of AGSET, participants performed the multistage shuttle run test (MSRT). Maximum oxygen uptake (VO2max) and respiratory exchange ratio (RER) were directly assessed using a portable gas analyzer system during both protocols. Additionally, the total time maintained (TTM) during the AGSET, maximum heart rate (HRmax), maximal aerobic speed (MAS), and blood lactate concentration (BLa) during the two protocols were collected.
Results The main findings indicated that all variables derived from the AGSET (i.e., VO2max, MAS, HRmax, BLa, and RER) displayed very good relative (all intraclass correlation coefficients [ICC] > 0.90) and absolute (all typical errors of measurement [TEM] < 5%) reliability. Further, results showed that the ability of the AGSET to detect small changes in VO2max, MAS, BLa, and RER was good (smallest worthwhile change [SWC0.2] > TEM), except HRmax (SWC0.2 < TEM). Additionally, results showed a nearly perfect association between the VO2max values derived from the AGSET and MSRT (r = 0.985; coefficient of determination [R-2] = 97%) with no statistically significant differences (p>0.05). The mean (bias) +/- 95% limits of agreement between the two protocols were 0.28 +/- 0.55 mlminkg-1.
Discussion AGSET seems to present very good reliability and concurrent validity for assessing endurance performance in elite artistic gymnastics. In addition, the newly developed protocol presents a good ability to detect small changes in performance.
Objective:
Following a life course perspective, this study examines the link between partnership trajectories and three dimensions of psychological well-being: psychological health, overall sense of self-worth and quality of life.
Background:
Assuming that life outcomes are the result of prior decisions, experiences and events, partnership histories can be seen as a resource for psychological well-being. Furthermore, advantages or disadvantages from living with or without a partner should accumulate over time. While previous cross-sectional research has mainly focused on the influence of partnership status or a status change on well-being, prior longitudinal studies could not control for reverse causality of well-being and partnership trajectories. This research addresses the question of how different patterns of partnership biographies are related to a person's well-being in middle adulthood. Selection effects of pre-trajectory well-being as well as current life conditions are also taken into account.
Method:
Using data from the German LifE Study, the partnership trajectories between ages of 16 and 45 are classified by sequence and cluster analysis. OLS regression is then used to examine the link between types of partnership trajectories and depression, self-esteem and overall life satisfaction at age 45.
Results:
For women, well-being declined when experiencing unstable non-cohabitational union trajectories or divorce followed by unpartnered post-marital trajectories. Men suffered most from being long-term single. The results could not be explained by selection effects of pre-trajectory well-being.
Conclusion:
While women seem to 'recover' from most of the negative effects of unstable partnership trajectories through a new partnership, for men it was shown that being mainly unpartnered has long-lasting effects on their psychological well-being.
Paid parental leave schemes have been shown to increase women’s employment rates but to decrease their wages in case of extended leave duration. In view of these potential trade-offs, many countries are discussing the optimal design of parental leave policies. We analyze the impact of a major parental leave reform on mothers’ long-term earnings. The 2007 German parental leave reform replaced a means-tested benefit with a more generous earnings-related benefit that is granted for a shorter period of time. Additionally, a ”daddy quota” of two months was introduced. To identify the causal effect of this policy mix on long-run earnings of mothers, we use a difference-in-differences approach that compares labor market outcomes of mothers who gave birth just before and right after the reform and nets out seasonal effects by including the year before. Using administrative social security data, we confirm previous findings and show that the average duration of employment interruptions increased for mothers with high pre-birth earnings. Nevertheless, we find a positive long-run effect on earnings for mothers in this group. This effect cannot be explained by changes in the selection of working mothers, working hours or changes in employer stability. Descriptive evidence suggests that the stronger involvement of fathers, incentivized by the ”daddy months”, could have facilitated mothers’ re-entry into the labor market and thereby increased earnings. For mothers with low pre-birth earnings, however, we do not find beneficial long-run effects of this parental leave reform.
Background
There is consistent evidence that the COVID-19 pandemic is associated with an increased psychosocial burden on children and adolescents and their parents. Relatively little is known about its particular impact on high-risk groups with chronic physical health conditions (CCs). Therefore, the primary aim of the study is to analyze the multiple impacts on health care and psychosocial well-being on these children and adolescents and their parents.
Methods
We will implement a two-stage approach. In the first step, parents and their underage children from three German patient registries for diabetes, obesity, and rheumatic diseases, are invited to fill out short questionnaires including questions about corona-specific stressors, the health care situation, and psychosocial well-being. In the next step, a more comprehensive, in-depth online survey is carried out in a smaller subsample.
Discussion
The study will provide insights into the multiple longer-term stressors during the COVID-19 pandemic in families with a child with a CC. The simultaneous consideration of medical and psycho-social endpoints will help to gain a deeper understanding of the complex interactions affecting family functioning, psychological well-being, and health care delivery.
Background
Teleost fishes comprise more than half of the vertebrate species. Within teleosts, most phylogenies consider the split between Osteoglossomorpha and Euteleosteomorpha/Otomorpha as basal, preceded only by the derivation of the most primitive group of teleosts, the Elopomorpha. While Osteoglossomorpha are generally species poor, the taxon contains the African weakly electric fish (Mormyroidei), which have radiated into numerous species. Within the mormyrids, the genus Campylomormyrus is mostly endemic to the Congo Basin. Campylomormyrus serves as a model to understand mechanisms of adaptive radiation and ecological speciation, especially with regard to its highly diverse species-specific electric organ discharges (EOD). Currently, there are few well-annotated genomes available for electric fish in general and mormyrids in particular. Our study aims at producing a high-quality genome assembly and to use this to examine genome evolution in relation to other teleosts. This will facilitate further understanding of the evolution of the osteoglossomorpha fish in general and of electric fish in particular.
Results
A high-quality weakly electric fish (C. compressirostris) genome was produced from a single individual with a genome size of 862 Mb, consisting of 1,497 contigs with an N50 of 1,399 kb and a GC-content of 43.69%. Gene predictions identified 34,492 protein-coding genes, which is a higher number than in the two other available Osteoglossomorpha genomes of Paramormyrops kingsleyae and Scleropages formosus. A Computational Analysis of gene Family Evolution (CAFE5) comparing 33 teleost fish genomes suggests an overall faster gene family turnover rate in Osteoglossomorpha than in Otomorpha and Euteleosteomorpha. Moreover, the ratios of expanded/contracted gene family numbers in Osteoglossomorpha are significantly higher than in the other two taxa, except for species that had undergone an additional genome duplication (Cyprinus carpio and Oncorhynchus mykiss). As potassium channel proteins are hypothesized to play a key role in EOD diversity among species, we put a special focus on them, and manually curated 16 Kv1 genes. We identified a tandem duplication in the KCNA7a gene in the genome of C. compressirostris.
Conclusions
We present the fourth genome of an electric fish and the third well-annotated genome for Osteoglossomorpha, enabling us to compare gene family evolution among major teleost lineages. Osteoglossomorpha appear to exhibit rapid gene family evolution, with more gene family expansions than contractions. The curated Kv1 gene family showed seven gene clusters, which is more than in other analyzed fish genomes outside Osteoglossomorpha. The KCNA7a, encoding for a potassium channel central for EOD production and modulation, is tandemly duplicated which may related to the diverse EOD observed among Campylomormyrus species.
Background
Machine learning models promise to support diagnostic predictions, but may not perform well in new settings. Selecting the best model for a new setting without available data is challenging. We aimed to investigate the transportability by calibration and discrimination of prediction models for cognitive impairment in simulated external settings with different distributions of demographic and clinical characteristics.
Methods
We mapped and quantified relationships between variables associated with cognitive impairment using causal graphs, structural equation models, and data from the ADNI study. These estimates were then used to generate datasets and evaluate prediction models with different sets of predictors. We measured transportability to external settings under guided interventions on age, APOE & epsilon;4, and tau-protein, using performance differences between internal and external settings measured by calibration metrics and area under the receiver operating curve (AUC).
Results
Calibration differences indicated that models predicting with causes of the outcome were more transportable than those predicting with consequences. AUC differences indicated inconsistent trends of transportability between the different external settings. Models predicting with consequences tended to show higher AUC in the external settings compared to internal settings, while models predicting with parents or all variables showed similar AUC.
Conclusions
We demonstrated with a practical prediction task example that predicting with causes of the outcome results in better transportability compared to anti-causal predictions when considering calibration differences. We conclude that calibration performance is crucial when assessing model transportability to external settings.
BackgroundIn spring of 2020, the Sars-CoV-2 incidence rate increased rapidly in Germany and around the world. Throughout the next 2 years, schools were temporarily closed and social distancing measures were put in place to slow the spread of the Covid-19 virus. Did these social restrictions and temporary school lockdowns affect children's physical fitness? The EMOTIKON project annually tests the physical fitness of all third-graders in the Federal State of Brandenburg, Germany. The tests assess cardiorespiratory endurance (6-min-run test), coordination (star-run test), speed (20-m sprint test), lower (powerLOW, standing long jump test), and upper (powerUP, ball-push test) limbs muscle power, and static balance (one-legged stance test with eyes closed). A total of 125,893 children were tested in the falls from 2016 to 2022. Primary analyses focused on 98,510 keyage third-graders (i.e., school enrollment according to the legal key date, aged 8 to 9 years) from 515 schools. Secondary analyses included 27,383 older-than-keyage third-graders (i.e., OTK, delayed school enrollment or repetition of a grade, aged 9 to 10 years), who have been shown to exhibit lower physical fitness than expected for their age. Linear mixed models fitted pre-pandemic quadratic secular trends, and took into account differences between children and schools.ResultsThird-graders exhibited lower cardiorespiratory endurance, coordination, speed and powerUP in the Covid pandemic cohorts (2020-2022) compared to the pre-pandemic cohorts (2016-2019). Children's powerLOW and static balance were higher in the pandemic cohorts compared to the pre-pandemic cohorts. From 2020 to 2021, coordination, powerLOW and powerUP further declined. Evidence for some post-pandemic physical fitness catch-up was restricted to powerUP. Cohen's |ds| for comparisons of the pandemic cohorts 2020-2022 with pre-pandemic cohorts 2016-2019 ranged from 0.02 for powerLOW to 0.15 for coordination. Within the pandemic cohorts, keyage children exhibited developmental losses ranging from approximately 1 month for speed to 5 months for cardiorespiratory endurance. For powerLOW and static balance, the positive pandemic effects translate to developmental gains of 1 and 7 months, respectively. Pre-pandemic secular trends may account for some of the observed differences between pandemic and pre-pandemic cohorts, especially in powerLOW, powerUP and static balance. The pandemic further increased developmental delays of OTK children in cardiorespiratory endurance, powerUP and balance.ConclusionsThe Covid-19 pandemic was associated with declines in several physical fitness components in German third-graders. Pandemic effects are still visible in 2022. Health-related interventions should specifically target those physical fitness components that were negatively affected by the pandemic (cardiorespiratory endurance, coordination, speed).
How to not induce SNAs
(2023)
People respond faster to smaller numbers in their left space and to larger numbers in their right space. Here we argue that movements in space contribute to the formation of spatial-numerical associations (SNAs). We studied the impact of continuous isometric forces along the horizontal or vertical cardinal axes on SNAs while participants performed random number production and arithmetic verification tasks. Our results suggest that such isometric directional force do not suffice to induce SNAs.
The use of automated tools to reconstruct lipid metabolic pathways is not warranted in plants. Here, the authors construct Plant Lipid Module for Arabidopsis rosette using constraint-based modeling, demonstrate its integration in other plant metabolic models, and use it to dissect the genetic architecture of lipid metabolism.
Lipids play fundamental roles in regulating agronomically important traits. Advances in plant lipid metabolism have until recently largely been based on reductionist approaches, although modulation of its components can have system-wide effects. However, existing models of plant lipid metabolism provide lumped representations, hindering detailed study of component modulation. Here, we present the Plant Lipid Module (PLM) which provides a mechanistic description of lipid metabolism in the Arabidopsis thaliana rosette. We demonstrate that the PLM can be readily integrated in models of A. thaliana Col-0 metabolism, yielding accurate predictions (83%) of single lethal knock-outs and 75% concordance between measured transcript and predicted flux changes under extended darkness. Genome-wide associations with fluxes obtained by integrating the PLM in diel condition- and accession-specific models identify up to 65 candidate genes modulating A. thaliana lipid metabolism. Using mutant lines, we validate up to 40% of the candidates, paving the way for identification of metabolic gene function based on models capturing natural variability in metabolism.
Progressive habitat fragmentation threatens plant species with narrow habitat requirements. While local environmental conditions define population growth rates and recruitment success at the patch level, dispersal is critical for population viability at the landscape scale. Identifying the dynamics of plant meta-populations is often confounded by the uncertainty about soil-stored population compartments. We combined a landscape-scale assessment of an amphibious plant's population structure with measurements of dispersal complexity in time to track dispersal and putative shifts in functional connectivity. Using 13 microsatellite markers, we analyzed the genetic structure of extant Oenanthe aquatica populations and their soil seed banks in a kettle hole system to uncover hidden connectivity among populations in time and space. Considerable spatial genetic structure and isolation-by-distance suggest limited gene flow between sites. Spatial isolation and patch size showed minor effects on genetic diversity. Genetic similarity found among extant populations and their seed banks suggests increased local recruitment, despite some evidence of migration and recent colonization. Results indicate stepping-stone dispersal across adjacent populations. Among permanent and ephemeral demes the resulting meta-population demography could be determined by source-sink dynamics. Overall, these spatiotemporal connectivity patterns support mainland-island dynamics in our system, highlighting the importance of persistent seed banks as enduring sources of genetic diversity.
Metabolic engineering of microalgae offers a promising solution for sustainable biofuel production, and rational design of engineering strategies can be improved by employing metabolic models that integrate enzyme turnover numbers. However, the coverage of turnover numbers for Chlamydomonas reinhardtii, a model eukaryotic microalga accessible to metabolic engineering, is 17-fold smaller compared to the heterotrophic cell factory Saccharomyces cerevisiae. Here we generate quantitative protein abundance data of Chlamydomonas covering 2337 to 3708 proteins in various growth conditions to estimate in vivo maximum apparent turnover numbers. Using constrained-based modeling we provide proxies for in vivo turnover numbers of 568 reactions, representing a 10-fold increase over the in vitro data for Chlamydomonas. Integration of the in vivo estimates instead of in vitro values in a metabolic model of Chlamydomonas improved the accuracy of enzyme usage predictions. Our results help in extending the knowledge on uncharacterized enzymes and improve biotechnological applications of Chlamydomonas.
This paper deals with the long-term behavior of positive operator semigroups on spaces of bounded functions and of signed measures, which have applications to parabolic equations with unbounded coefficients and to stochas-tic analysis. The main results are a Tauberian type theorem characterizing the convergence to equilibrium of strongly Feller semigroups and a generalization of a classical convergence theorem of Doob. None of these results requires any kind of time regularity of the semigroup.
Purpose
This study investigates the communication behavior of public health organizations on Twitter during the COVID-19 vaccination campaign in Brazil. It contributes to the understanding of the organizational framing of health communication by showcasing several instances of framing devices that borrow from (Brazilian) internet culture. The investigation of this case extends the knowledge by providing a rich description of the organizational framing of health communication to combat misinformation in a politically charged environment.
Design/methodology/approach
The authors collected a Twitter dataset of 77,527 tweets and analyzed a purposeful subsample of 536 tweets that contained information provided by Brazilian public health organizations about COVID-19 vaccination campaigns. The data analysis was carried out quantitatively and qualitatively by combining social media analytics techniques and frame analysis.
Findings
The analysis showed that Brazilian health organizations used several framing devices that have been identified by previous literature such as hashtags, links, emojis or images. However, the analysis also unearthed hitherto unknown visual framing devices for misinformation prevention and debunking that borrow from internet culture such as “infographics,” “pop culture references” and “internet-native symbolism.”
Research limitations/implications
First, the identification of framing devices relating to internet culture add to our understanding of the so far little addressed framing of misinformation combat messages. The case of Brazilian health organizations provides a novel perspective to knowledge by offering a notion of internet-native symbols (e.g. humor, memes) and popular culture references for misinformation combat, including misinformation prevention. Second, this study introduces a frontier of political contextualization to misinformation research that does not relate to the partisanship of the spreaders but that relates to the political dilemmas of public organizations with a commitment to provide accurate information to citizens.
Practical implications
The findings inform decision-makers and public health organizations about framing devices that are tailored to internet-native audiences and can guide strategies to carry out information campaigns in misinformation-laden social media environments.
Social implications
The findings of this case study expose the often-overlooked cultural peculiarities of framing information campaigns on social media. The report of this study from a country in the Global South helps to contrast several assumptions and strategies that are prevalent in (health) discourses in Western societies and scholarship.
Originality/value
This study uncovers unconventional and barely addressed framing devices of health organizations operating in Brazil, which provides a novel perspective to the body of research on misinformation. It contributes to existing knowledge about frame analysis and broadens the understanding of frame devices borrowing from internet culture. It is a call for a frontier in misinformation research that deals with internet culture as part of organizational strategies for successful misinformation combat.
Providing students with efficient instruction tailored to their individual characteristics in the cognitive and affective domains is an important goal in research on computer-based learning. This is especially important when seeking to enhance students' learning experience, such as by counteracting boredom, a detrimental emotion for learning. However, studies comparing instructional strategies triggered by either cognitive or emotional characteristics are surprisingly scarce. In addition, little research has examined the impact of these types of instructional strategies on performance and boredom trajectories within a lesson. In the present study, we compared the effectiveness of an intelligent tutoring system that adapted variable levels of hint details to a combination of students' dynamic, self-reported emotions and task performance (i.e., the experimental condition) to a traditional hint delivery approach consisting of a progressive, incremental supply of details following students' failures (i.e., the control condition). Linear mixed models of time-related changes in task performance and the intensity of boredom over two 1-h sessions showed that students (N = 104) in the two conditions exhibited equivalent progression in task performance and similar trajectories in boredom intensity. However, a consideration of students' achievement levels in the analyses (i.e., their final performance on the task) revealed that higher achievers in the experimental condition showed a reduction in boredom during the first session, suggesting possible benefits of using emotional information to increase the contingency of the hint delivery strategy and improve students’ learning experience.
The study addresses the question, if observed changes in terms of Arctic-midlatitude linkages during winter are driven by Arctic Sea ice decline alone or if the increase of global sea surface temperatures plays an additional role. We compare atmosphere-only model experiments with ECHAM6 to ERA-Interim Reanalysis data. The model sensitivity experiment is implemented as a set of four combinations of sea ice and sea surface temperature boundary conditions. Atmospheric circulation regimes are determined and evaluated in terms of their cyclone and blocking characteristics and changes in frequency during winter. As a prerequisite, ECHAM6 reproduces general features of circulation regimes very well. Tropospheric changes induced by the change of boundary conditions are revealed and further impacts on the large-scale circulation up into the stratosphere are investigated. In early winter, the observed increase of atmospheric blocking in the region between Scandinavia and the Urals are primarily related to the changes in sea surface temperatures. During late winter, we f nd a weakened polar stratospheric vortex in the reanalysis that further impacts the troposphere. In the model sensitivity study a climatologically weakened polar vortex occurs only if sea ice is reduced and sea surface temperatures are increased together. This response is delayed compared to the reanalysis. The tropospheric response during late winter is inconclusive in the model, which is potentially related to the weak and delayed response in the stratosphere. The model experiments do not reproduce the connection between early and late winter as interpreted from the reanalysis. Potentially explaining this mismatch, we identify a discrepancy of ECHAM6 to reproduce the weakening of the stratospheric polar vortex through blocking induced upward propagation of planetary waves.
This study focuses on three key aspects: (a) crude throat swab samples in a viral transport medium (VTM) as templates for RT-LAMP reactions; (b) a biotinylated DNA probe with enhanced specificity for LFA readouts; and (c) a digital semi-quantification of LFA readouts. Throat swab samples from SARS-CoV-2 positive and negative patients were used in their crude (no cleaning or pre-treatment) forms for the RT-LAMP reaction. The samples were heat-inactivated but not treated for any kind of nucleic acid extraction or purification. The RT-LAMP (20 min processing time) product was read out by an LFA approach using two labels: FITC and biotin. FITC was enzymatically incorporated into the RT-LAMP amplicon with the LF-LAMP primer, and biotin was introduced using biotinylated DNA probes, specifically for the amplicon region after RT-LAMP amplification. This assay setup with biotinylated DNA probe-based LFA readouts of the RT-LAMP amplicon was 98.11% sensitive and 96.15% specific. The LFA result was further analysed by a smartphone-based IVD device, wherein the T-line intensity was recorded. The LFA T-line intensity was then correlated with the qRT-PCR Ct value of the positive swab samples. A digital semi-quantification of RT-LAMP-LFA was reported with a correlation coefficient of R2 = 0.702. The overall RT-LAMP-LFA assay time was recorded to be 35 min with a LoD of three RNA copies/µL (Ct-33). With these three advancements, the nucleic acid testing-point of care technique (NAT-POCT) is exemplified as a versatile biosensor platform with great potential and applicability for the detection of pathogens without the need for sample storage, transportation, or pre-processing.
The physiological dependence of animals on dietary intake of vitamins, amino acids, and fatty acids is ubiquitous. Sharp differences in the availability of these vital dietary biomolecules among different resources mean that consumers must adopt a range of strategies to meet their physiological needs. We review the emerging work on omega-3 long-chain polyunsaturated fatty acids, focusing predominantly on predator-prey interactions, to illustrate that trade-off between capacities to consume resources rich in vital biomolecules and internal synthesis capacity drives differences in phenotype and fitness of consumers. This can then feedback to impact ecosystem functioning. We outline how focus on vital dietary biomolecules in eco-eco-devo dynamics can improve our understanding of anthropogenic changes across multiple levels of biological organization.
Hawaiki according to Tupaia
(2023)
This essay looks into the concept of an ancestral homeland in Remote Oceania, commonly referred to as Hawaiki (‘Avaiki; Havai‘i; Hawai‘i).
Hawaiki intriguingly challenges Eurocentric notions of ‘home.’ Following the rapid settlement of the so-called Polynesian triangle from Samoa/Tonga at around 1000 AD, Hawaiki has emerged as a concept that is both mythological and real; genealogical and geographic; singular and yet portable, existing in plural regional manifestations.
I argue that predominantly Pakeha/Popa‘ā research trying to identify Hawaiki as a singular and geographically fixed homeland is misleading.
I tap into the archive surrounding the Ra‘iātean tahu‘a and master navigator Tupaia who joined Captain Cook’s crew during his first voyage to the Pacific to offer glimpses of an alternative ontology of home and epistemology of Oceanic ‘homing.’
Oxygen (O-2) availability in soils is vital for plant growth and productivity. The transport and consumption of O-2 in the root zone is closely linked to soil moisture content, the spatial distribution of roots, as well as structure and heterogeneity of the surrounding soil. In this study, we measure three-dimensional root system architecture and the spatiotemporal dynamics of soil moisture (& theta;) and O-2 concentrations in the root zone of maize (Zea mays) via non-invasive imaging, and then construct and parameterize a reactive transport model based on the experimental data. The combination of three non-invasive imaging methods allowed for a direct comparison of simulation results with observations at high spatial and temporal resolution. In three different modeling scenarios, we investigated how the results obtained for different levels of conceptual complexity in the model were able to match measured & theta; and O-2 concentration patterns. We found that the modeling scenario that considers heterogeneous soil structure and spatial variability of hydraulic parameters (permeability, porosity, and van Genuchten & alpha; and n), better reproduced the measured & theta; and O-2 patterns relative to a simple model with a homogenous soil domain. The results from our combined imaging and modeling analysis reveal that experimental O-2 and water dynamics can be reproduced quantitatively in a reactive transport model, and that O-2 and water dynamics are best characterized when conditions unique to the specific system beyond the distribution of roots, such as soil structure and its effect on water saturation and macroscopic gas transport pathways, are considered.
This review discusses picosecond ultrasonics experiments using ultrashort hard x-ray probe pulses to extract the transient strain response of laser-excited nanoscopic structures from Bragg-peak shifts. This method provides direct, layer-specific, and quantitative information on the picosecond strain response for structures down to few-nm thickness. We model the transient strain using the elastic wave equation and express the driving stress using Gruneisen parameters stating that the laser-induced stress is proportional to energy density changes in the microscopic subsystems of the solid, i.e., electrons, phonons and spins. The laser-driven strain response can thus serve as an ultrafast proxy for local energy-density and temperature changes, but we emphasize the importance of the nanoscale morphology for an accurate interpretation due to the Poisson effect. The presented experimental use cases encompass ultrathin and opaque metal-heterostructures, continuous and granular nanolayers as well as negative thermal expansion materials, that each pose a challenge to established all-optical techniques.
Using time-resolved x-ray diffraction, we demonstrate the manipulation of the picosecond strain response of a metallic heterostructure consisting of a dysprosium (Dy) transducer and a niobium (Nb) detection layer by an external magnetic field. We utilize the first-order ferromagnetic–antiferromagnetic phase transition of the Dy layer, which provides an additional large contractive stress upon laser excitation compared to its zerofield response. This enhances the laser-induced contraction of the transducer and changes the shape of the picosecond strain pulses driven in Dy and detected within the buried Nb layer. Based on our experiment with rare-earth metals we discuss required properties for functional transducers, which may allow for novel field-control of the emitted picosecond strain pulses.
Satisfaction and frustration of the needs for autonomy, competence, and relatedness, as assessed with the 24-item Basic Psychological Need Satisfaction and Frustration Scale (BPNSFS), have been found to be crucial indicators of individuals’ psychological health. To increase the usability of this scale within a clinical and health services research context, we aimed to validate a German short version (12 items) of this scale in individuals with depression including the examination of the relations from need frustration and need satisfaction to ill-being and quality of life (QOL). This cross-sectional study involved 344 adults diagnosed with depression (Mage (SD) = 47.5 years (11.1); 71.8% females). Confirmatory factor analyses indicated that the short version of the BPNSFS was not only reliable, but also fitted a six-factor structure (i.e., satisfaction/frustration X type of need). Subsequent structural equation modeling showed that need frustration related positively to indicators of ill-being and negatively to QOL. Surprisingly, need satisfaction did not predict differences in ill-being or QOL. The short form of the BPNSFS represents a practical instrument to measure need satisfaction and frustration in people with depression. Further, the results support recent evidence on the importance of especially need frustration in the prediction of psychopathology.
Background Anxiety and depressive disorders share common features of mood dysfunctions. This has stimulated interest in transdiagnostic dimensional research as proposed by the Research Domain Criteria (RDoC) approach by the National Institute of Mental Health (NIMH) aiming to improve the understanding of underlying disease mechanisms. The purpose of this study was to investigate the processing of RDoC domains in relation to disease severity in order to identify latent disorder-specific as well as transdiagnostic indicators of disease severity in patients with anxiety and depressive disorders.
Methods Within the German research network for mental disorders, 895 participants (n = 476 female, n = 602 anxiety disorder, n = 257 depressive disorder) were recruited for the Phenotypic, Diagnostic and Clinical Domain Assessment Network Germany (PD-CAN) and included in this cross-sectional study. We performed incremental regression models to investigate the association of four RDoC domains on disease severity in patients with affective disorders: Positive (PVS) and Negative Valance System (NVS), Cognitive Systems (CS) and Social Processes (SP).
Results The results confirmed a transdiagnostic relationship for all four domains, as we found significant main effects on disease severity within domain-specific models (PVS: & beta; = -0.35; NVS: & beta; = 0.39; CS: & beta; = -0.12; SP: & beta; = -0.32). We also found three significant interaction effects with main diagnosis showing a disease-specific association.
Limitations The cross-sectional study design prevents causal conclusions. Further limitations include possible outliers and heteroskedasticity in all regression models which we appropriately controlled for.
Conclusion Our key results show that symptom burden in anxiety and depressive disorders is associated with latent RDoC indicators in transdiagnostic and disease-specific ways.
Pavlovian cues can influence ongoing instrumental behaviour via Pavlovian-to-instrumental transfer (PIT) processes. While appetitive Pavlovian cues tend to promote instrumental approach, they are detrimental when avoidance behaviour is required, and vice versa for aversive cues. We recently reported that susceptibility to interference between Pavlovian and instrumental control assessed via a PIT task was associated with risky alcohol use at age 18. We now investigated whether such susceptibility also predicts drinking trajectories until age 24, based on AUDIT (Alcohol Use Disorders Identification Test) consumption and binge drinking (gramme alcohol/drinking occasion) scores. The interference PIT effect, assessed at ages 18 and 21 during fMRI, was characterized by increased error rates (ER) and enhanced neural responses in the ventral striatum (VS), the lateral and dorsomedial prefrontal cortices (dmPFC) during conflict, that is, when an instrumental approach was required in the presence of an aversive Pavlovian cue or vice versa. We found that a stronger VS response during conflict at age 18 was associated with a higher starting point of both drinking trajectories but predicted a decrease in binge drinking. At age 21, high ER and enhanced neural responses in the dmPFC were associated with increasing AUDIT-C scores over the next 3 years until age 24. Overall, susceptibility to interference between Pavlovian and instrumental control might be viewed as a predisposing mechanism towards hazardous alcohol use during young adulthood, and the identified high-risk group may profit from targeted interventions.
Research within the framework of Basic Psychological Need Theory (BPNT) finds strong associations between basic need frustration and depressive symptoms. This study examined the role of rumination as an underlying mechanism in the association between basic psychological need frustration and depressive symptoms. A cross-sectional sample of N = 221 adults (55.2% female, mean age = 27.95, range = 18–62, SD = 10.51) completed measures assessing their level of basic psychological need frustration, rumination, and depressive symptoms. Correlational analyses and multiple mediation models were conducted. Brooding partially mediated the relation between need frustration and depressive symptoms. BPNT and Response Styles Theory are compatible and can further advance knowledge about depression vulnerabilities.
Interfaith controversies and disputes regarding the role of reason in interpreting the Scriptures characterised scholarly discussion in the Low Countries between the seventeenth and eighteenth centuries. The Jewish author Abraham Gómez Silveira contributed to this discussion with an eclectic body of literature. This article focuses on his Libro Mudo (Mute Book), which embodies his efforts to present the Jewish religion as the only rational one and the Christian dogma as irrational. In order to corroborate his reading, Silveira mostly bases his argumentation on non-Jewish texts. By selecting passages from the New Testaments, Christian religious commentaries as well as Qur'anic excerpts, Silveira aims to demonstrate that even non-Jewish sources prove the rationality of the Jewish theological system. The novelty of Silveira's approach consists in confuting Christian dogma by accepting the Gospels as reliable historical sources. In this argumentative structure, the Qur'an has a similar although not identical function.
Introduction
Attempts to improve cognitive abilities via transcranial direct current stimulation (tDCS) have led to ambiguous results, likely due to the method's susceptibility to methodological and inter-individual factors. Conventional tDCS, i.e., using an active electrode over brain areas associated with the targeted cognitive function and a supposedly passive reference, neglects stimulation effects on entire neural networks.
Methods
We investigated the advantage of frontoparietal network stimulation (right prefrontal anode, left posterior parietal cathode) against conventional and sham tDCS in modulating working memory (WM) capacity dependent transfer effects of a single-session distractor inhibition (DIIN) training. Since previous results did not clarify whether electrode montage drives this individual transfer, we here compared conventional to frontoparietal and sham tDCS and reanalyzed data of 124 young, healthy participants in a more robust way using linear mixed effect modeling.
Results
The interaction of electrode montage and WM capacity resulted in systematic differences in transfer effects. While higher performance gains were observed with increasing WM capacity in the frontoparietal stimulation group, low WM capacity individuals benefited more in the sham condition. The conventional stimulation group showed subtle performance gains independent of WM capacity.
Discussion
Our results confirm our previous findings of WM capacity dependent transfer effects on WM by a single-session DIIN training combined with tDCS and additionally highlight the pivotal role of the specific electrode montage. WM capacity dependent differences in frontoparietal network recruitment, especially regarding the parietal involvement, are assumed to underlie this observation.
We consider a system of noninteracting particles on a line with initial positions distributed uniformly with density ? on the negative half-line. We consider two different models: (i) Each particle performs independent Brownian motion with stochastic resetting to its initial position with rate r and (ii) each particle performs run -and-tumble motion, and with rate r its position gets reset to its initial value and simultaneously its velocity gets randomized. We study the effects of resetting on the distribution P(Q, t) of the integrated particle current Q up to time t through the origin (from left to right). We study both the annealed and the quenched current distributions and in both cases, we find that resetting induces a stationary limiting distribution of the current at long times. However, we show that the approach to the stationary state of the current distribution in the annealed and the quenched cases are drastically different for both models. In the annealed case, the whole distribution P-an(Q, t) approaches its stationary limit uniformly for all Q. In contrast, the quenched distribution P-qu(Q, t) attains its stationary form for Q < Q(crit)(t), while it remains time dependent for Q > Q(crit)(t). We show that Q(crit)(t) increases linearly with t for large t. On the scale where Q <; Q(crit)(t), we show that P-qu(Q, t) has an unusual large deviation form with a rate function that has a third-order phase transition at the critical point. We have computed the associated rate functions analytically for both models. Using an importance sampling method that allows to probe probabilities as tiny as 10-14000, we were able to compute numerically this nonanalytic rate function for the resetting Brownian dynamics and found excellent agreement with our analytical prediction.
The capillary-venous pathology cerebral cavernous malformation (CCM) is caused by loss of CCM1/Krev interaction trapped protein 1 (KRIT1), CCM2/MGC4607, or CCM3/PDCD10 in some endothelial cells. Mutations of CCM genes within the brain vasculature can lead to recurrent cerebral hemorrhages. Pharmacological treatment options are urgently needed when lesions are located in deeply-seated and in-operable regions of the central nervous system. Previous pharmacological suppression screens in disease models of CCM led to the discovery that treatment with retinoic acid improved CCM phenotypes. This finding raised a need to investigate the involvement of retinoic acid in CCM and test whether it has a curative effect in preclinical mouse models. Here, we show that components of the retinoic acid synthesis and degradation pathway are transcriptionally misregulated across disease models of CCM. We complemented this analysis by pharmacologically modifying retinoic acid levels in zebrafish and human endothelial cell models of CCM, and in acute and chronic mouse models of CCM. Our pharmacological intervention studies in CCM2-depleted human umbilical vein endothelial cells (HUVECs) and krit1 mutant zebrafish showed positive effects when retinoic acid levels were increased. However, therapeutic approaches to prevent the development of vascular lesions in adult chronic murine models of CCM were drug regiment-sensitive, possibly due to adverse developmental effects of this hormone. A treatment with high doses of retinoic acid even worsened CCM lesions in an adult chronic murine model of CCM. This study provides evidence that retinoic acid signaling is impaired in the CCM pathophysiology and suggests that modification of retinoic acid levels can alleviate CCM phenotypes.
Quantifying the resilience of vegetated ecosystems is key to constraining both present-day and future global impacts of anthropogenic climate change. Here we apply both empirical and theoretical resilience metrics to remotely-sensed vegetation data in order to examine the role of water availability and variability in controlling vegetation resilience at the global scale. We find a concise global relationship where vegetation resilience is greater in regions with higher water availability. We also reveal that resilience is lower in regions with more pronounced inter-annual precipitation variability, but find less concise relationships between vegetation resilience and intra-annual precipitation variability. Our results thus imply that the resilience of vegetation responds differently to water deficits at varying time scales. In view of projected increases in precipitation variability, our findings highlight the risk of ecosystem degradation under ongoing climate change.
Vegetation dynamics depend on both the amount of precipitation and its variability over time. Here, the authors show that vegetation resilience is greater where water availability is higher and where precipitation is more stable from year to year.
Deriving mechanism-based pharmacodynamic models by reducing quantitative systems pharmacology models
(2023)
Quantitative systems pharmacology (QSP) models integrate comprehensive qualitative and quantitative knowledge about pharmacologically relevant processes. We previously proposed a first approach to leverage the knowledge in QSP models to derive simpler, mechanism-based pharmacodynamic (PD) models. Their complexity, however, is typically still too large to be used in the population analysis of clinical data. Here, we extend the approach beyond state reduction to also include the simplification of reaction rates, elimination of reactions, and analytic solutions. We additionally ensure that the reduced model maintains a prespecified approximation quality not only for a reference individual but also for a diverse virtual population. We illustrate the extended approach for the warfarin effect on blood coagulation. Using the model-reduction approach, we derive a novel small-scale warfarin/international normalized ratio model and demonstrate its suitability for biomarker identification. Due to the systematic nature of the approach in comparison with empirical model building, the proposed model-reduction algorithm provides an improved rationale to build PD models also from QSP models in other applications.
Economic evaluation of digital therapeutic care apps for unsupervised treatment of low back pain
(2023)
Background:
Digital therapeutic care (DTC) programs are unsupervised app-based treatments that provide video exercises and educational material to patients with nonspecific low back pain during episodes of pain and functional disability. German statutory health insurance can reimburse DTC programs since 2019, but evidence on efficacy and reasonable pricing remains scarce. This paper presents a probabilistic sensitivity analysis (PSA) to evaluate the efficacy and cost-utility of a DTC app against treatment as usual (TAU) in Germany.
Objective:
The aim of this study was to perform a PSA in the form of a Monte Carlo simulation based on the deterministic base case analysis to account for model assumptions and parameter uncertainty. We also intend to explore to what extent the results in this probabilistic analysis differ from the results in the base case analysis and to what extent a shortage of outcome data concerning quality-of-life (QoL) metrics impacts the overall results.
Methods:
The PSA builds upon a state-transition Markov chain with a 4-week cycle length over a model time horizon of 3 years from a recently published deterministic cost-utility analysis. A Monte Carlo simulation with 10,000 iterations and a cohort size of 10,000 was employed to evaluate the cost-utility from a societal perspective. Quality-adjusted life years (QALYs) were derived from Veterans RAND 6-Dimension (VR-6D) and Short-Form 6-Dimension (SF-6D) single utility scores. Finally, we also simulated reducing the price for a 3-month app prescription to analyze at which price threshold DTC would result in being the dominant strategy over TAU in Germany.
Results:
The Monte Carlo simulation yielded on average a euro135.97 (a currency exchange rate of EUR euro1=US $1.069 is applicable) incremental cost and 0.004 incremental QALYs per person and year for the unsupervised DTC app strategy compared to in-person physiotherapy in Germany. The corresponding incremental cost-utility ratio (ICUR) amounts to an additional euro34,315.19 per additional QALY. DTC yielded more QALYs in 54.96% of the iterations. DTC dominates TAU in 24.04% of the iterations for QALYs. Reducing the app price in the simulation from currently euro239.96 to euro164.61 for a 3-month prescription could yield a negative ICUR and thus make DTC the dominant strategy, even though the estimated probability of DTC being more effective than TAU is only 54.96%.
Conclusions:
Decision-makers should be cautious when considering the reimbursement of DTC apps since no significant treatment effect was found, and the probability of cost-effectiveness remains below 60% even for an infinite willingness-to-pay threshold. More app-based studies involving the utilization of QoL outcome parameters are urgently needed to account for the low and limited precision of the available QoL input parameters, which are crucial to making profound recommendations concerning the cost-utility of novel apps.
The study explores differences between three user types in the top tweets about the 2015 “refugee crisis” in Germany and presents the results of a quantitative content analysis. All tweets with the keyword “Flüchtlinge” posted for a monthlong period following September 13, 2015, the day Germany decided to implement border controls, were collected (N = 763,752). The top 2,495 tweets according to number of retweets were selected for analysis. Differences between news media, public and private actor tweets in topics, tweet characteristics such as tone and opinion expression, links, and specific sentiments toward refugees were analyzed. We found strong differences between the tweets. Public actor tweets were the main source of positive sentiment toward refugees and the main information source on refugee support. News media tweets mostly reflected traditional journalistic norms of impartiality and objectivity, whereas private actor tweets were more diverse in sentiments toward refugees.
On his journey to the 'Orient' in 1856, the cultural entrepreneur from Vienna Ludwig August Frankl (1810–94) discussed the recent Hatt-ı-Hümayun, the new constitution promulgated by Sultan Abdülmecid I for the Ottoman Empire, with a Turkish state official. Frankl said that the European nations wondered whether the Ottoman Empire would be able to enact this revolutionary legislation, especially given the fact that they themselves had not yet implemented the full emancipation of religious minorities in their countries. 'Equal rights for all religions,' he exclaimed. 'While England orders this legislation for an, Your Mightiness will excuse the common expression, uncivilized nation, they do not comply with it in their own Parliament' (Ludwig August Frankl, Nach Jerusalem! (1858), i, 191). While criticizing England's hypocritical policy, Frankl, as an Austrian Jew, was actually referring to the discriminatory legislation against Jews in his own country, the Habsburg Monarchy. European Jews, whose legal emancipation had been postponed since the eighteenth century, were in awe of the Ottoman reforms that fundamentally reversed the relationship between Muslims and non-Muslims with the stroke of a pen. The chequered relationship between the Ottoman Empire and the European powers, or more precisely, the Habsburg Monarchy, from the nineteenth century until the First World War, is the topic of Barbara Haider-Wilson's comprehensive study Österreichs friedlicher Kreuzzug 1839–1917.
The color red has been implicated in a variety of social processes, including those involving mating. While previous research suggests that women sometimes wear red strategically to increase their attractiveness, the replicability of this literature has been questioned. The current research is a reasonably powered conceptual replication designed to strengthen this literature by testing whether women are more inclined to display the color red 1) during fertile (as compared with less fertile) days of the menstrual cycle, and 2) when expecting to interact with an attractive man (as compared with a less attractive man and with a control condition). Analyses controlled for a number of theoretically relevant covariates (relationship status, age, the current weather). Only the latter hypothesis received mixed support (mainly among women on hormonal birth control), whereas results concerning the former hypothesis did not reach significance. Women (N = 281) displayed more red when expecting to interact with an attractive man; findings did not support the prediction that women would increase their display of red on fertile days of the cycle. Findings thus suggested only mixed replicability for the link between the color red and psychological processes involving romantic attraction. They also illustrate the importance of further investigating the boundary conditions of color effects on everyday social processes.
Background: Patients with subjective cognitive decline (SCD) report memory deterioration and are at an increased risk of converting to Alzheimer's disease (AD) although psychophysical testing does not reveal any cognitive deficit.
Objective: Here, gustatory function is investigated as a potential predictor for an increased risk of progressive cognitive decline indicating higher AD risk in SCD.
Methods: Measures of smell and taste perception as well as neuropsychological data were assessed in patients with subjective cognitive decline (SCD): Subgroups with an increased likelihood of the progression to preclinical AD (SCD+) and those with a lower likelihood (SCD-) were compared to healthy controls (HC), patients with mild cognitive impairment and AD patients. The Sniffin' Sticks test contained 12 items with different qualities and taste was measured with 32 taste stripes (sweet, salty, bitter, sour) of different concentration.
Results: Only taste was able to distinguish between HC/SCD- and SCD+ patients.
Conclusion: This study provides a first hint of taste as a more sensitive marker than smell for detecting preclinical AD in SCD. Longitudinal observation of cognition and pathology are necessary to further evaluate taste perception as a predictor of pathological objective decline in cognition.
Cosmic-ray neutron sensing (CRNS) allows for the estimation of root-zone soil water content (SWC) at the scale of several hectares. In this paper, we present the data recorded by a dense CRNS network operated from 2019 to 2022 at an agricultural research site in Marquardt, Germany - the first multi-year CRNS cluster. Consisting, at its core, of eight permanently installed CRNS sensors, the cluster was supplemented by a wealth of complementary measurements: data from seven additional temporary CRNS sensors, partly co-located with the permanent ones; 27 SWC profiles (mostly permanent); two groundwater observation wells; meteorological records; and Global Navigation Satellite System reflectometry (GNSS-R). Complementary to these continuous measurements, numerous campaign-based activities provided data by mobile CRNS roving, hyperspectral im-agery via UASs, intensive manual sampling of soil properties (SWC, bulk density, organic matter, texture, soil hydraulic properties), and observations of biomass and snow (cover, depth, and density). The unique temporal coverage of 3 years entails a broad spectrum of hydro-meteorological conditions, including exceptional drought periods and extreme rainfall but also episodes of snow coverage, as well as a dedicated irrigation experiment. Apart from serving to advance CRNS-related retrieval methods, this data set is expected to be useful for vari-ous disciplines, for example, soil and groundwater hydrology, agriculture, or remote sensing. Hence, we show exemplary features of the data set in order to highlight the potential for such subsequent studies. The data are available at doi.org/10.23728/b2share.551095325d74431881185fba1eb09c95 (Heistermann et al., 2022b).
Finger-based representation of numbers is a high-level cognitive strategy to assist numerical and arithmetic processing in children and adults. It is unclear whether this paradigm builds on simple perceptual features or comprises several attributes through embodiment. Here we describe the development and initial testing of an experimental setup to study embodiment during a finger-based numerical task using Virtual Reality (VR) and a low-cost tactile stimulator that is easy to build. Using VR allows us to create new ways to study finger-based numerical representation using a virtual hand that can be manipulated in ways our hand cannot, such as decoupling tactile and visual stimuli. The goal is to present a new methodology that can allow researchers to study embodiment through this new approach, maybe shedding new light on the cognitive strategy behind the finger-based representation of numbers. In this case, a critical methodological requirement is delivering precisely targeted sensory stimuli to specific effectors while simultaneously recording their behavior and engaging the participant in a simulated experience. We tested the device's capability by stimulating users in different experimental configurations. Results indicate that our device delivers reliable tactile stimulation to all fingers of a participant's hand without losing motion tracking quality during an ongoing task. This is reflected by an accuracy of over 95% in participants detecting stimulation of a single finger or multiple fingers in sequential stimulation as indicated by experiments with sixteen participants. We discuss possible application scenarios, explain how to apply our methodology to study the embodiment of finger-based numerical representations and other high-level cognitive functions, and discuss potential further developments of the device based on the data obtained in our testing.
Cell-level systems biology model to study inflammatory bowel diseases and their treatment options
(2023)
To help understand the complex and therapeutically challenging inflammatory bowel diseases (IBDs), we developed a systems biology model of the intestinal immune system that is able to describe main aspects of IBD and different treatment modalities thereof. The model, including key cell types and processes of the mucosal immune response, compiles a large amount of isolated experimental findings from literature into a larger context and allows for simulations of different inflammation scenarios based on the underlying data and assumptions. In the context of a large and diverse virtual IBD population, we characterized the patients based on their phenotype (in contrast to healthy individuals, they developed persistent inflammation after a trigger event) rather than on a priori assumptions on parameter differences to a healthy individual. This allowed to reproduce the enormous diversity of predispositions known to lead to IBD. Analyzing different treatment effects, the model provides insight into characteristics of individual drug therapy. We illustrate for anti-TNF-alpha therapy, how the model can be used (i) to decide for alternative treatments with best prospects in the case of nonresponse, and (ii) to identify promising combination therapies with other available treatment options.
Der Band widmet sich im Schwerpunkt aktuellen Fragestellungen an der Schnittmenge vom allgemeinen Teil des Strafrechts und der spezifischen Materie des Wirtschaftsstrafrechts. Er enthält die Vorträge, die Hans Achenbach, Jörg Eisele, Christian Schröder und Detlev Sternberg-Lieben im Juli 2022 auf dem Kolloquium zu dem Thema „Der Allgemeine Teil des Wirtschaftsstrafrechts“ zu Ehren von Wolfgang Mitsch und Uwe Hellmann gehalten haben. Sie werden ergänzt um weitere Beiträge aus dem wissenschaftlichen Umfeld der zu Ehrenden.
The long term relationship between Medicaid expansion and adult life-threatening chronic conditions
(2023)
We test whether the expansions of children's Medicaid eligibility in the 1980s–1990s resulted in long-term health benefits in terms of severe chronic conditions. Still relatively rare in the field, we use prospective individual-level panel data from the Panel Study of Income Dynamics (PSID) along with the higher quality income measures from the Cross-National Equivalent File (adjusting for taxes, transfers and household size). We observe severe chronic conditions (high blood pressure/heart disease, cancer, diabetes, or lung disease) at ages 30–56 (average age 43.1) for 4670 respondents who were also prospectively observed during childhood (i.e., at ages 0–17). Our analysis exploits within-region temporal variation in childhood Medicaid eligibility and adjusts for state- and individual-level controls. We uniquely concentrate attention on adjusting for childhood income. A standard deviation greater childhood Medicaid eligibility significantly reduces the probability of severe chronic conditions in adulthood by 0.05 to 0.12 (16%–37.5% reduction from mean 0.32). Across the range of observed childhood Medicaid eligibility, the probability is approximately cut in half. Greater childhood Medicaid eligibility also substantially reduces childhood income disparities in severe chronic conditions. At higher levels of childhood Medicaid eligibility, we find no significant childhood income disparities in adult severe chronic conditions.
Fetal alcohol-spectrum disorder (FASD) is underdiagnosed and often misdiagnosed as attention-deficit/hyperactivity disorder (ADHD). Here, we develop a screening tool for FASD in youth with ADHD symptoms. To develop the prediction model, medical record data from a German University outpatient unit are assessed including 275 patients aged 0-19 years old with FASD with or without ADHD and 170 patients with ADHD without FASD aged 0-19 years old. We train 6 machine learning models based on 13 selected variables and evaluate their performance. Random forest models yield the best prediction models with a cross-validated AUC of 0.92 (95% confidence interval [0.84, 0.99]). Follow-up analyses indicate that a random forest model with 6 variables - body length and head circumference at birth, IQ, socially intrusive behaviour, poor memory and sleep disturbance - yields equivalent predictive accuracy. We implement the prediction model in a web-based app called FASDetect - a user-friendly, clinically scalable FASD risk calculator that is freely available at https://fasdetect.dhc-lab.hpi.de.
Purpose
Due to the increasing application of genome analysis and interpretation in medical disciplines, professionals require adequate education. Here, we present the implementation of personal genotyping as an educational tool in two genomics courses targeting Digital Health students at the Hasso Plattner Institute (HPI) and medical students at the Technical University of Munich (TUM).
Methods
We compared and evaluated the courses and the students ' perceptions on the course setup using questionnaires.
Results
During the course, students changed their attitudes towards genotyping (HPI: 79% [15 of 19], TUM: 47% [25 of 53]). Predominantly, students became more critical of personal genotyping (HPI: 73% [11 of 15], TUM: 72% [18 of 25]) and most students stated that genetic analyses should not be allowed without genetic counseling (HPI: 79% [15 of 19], TUM: 70% [37 of 53]). Students found the personal genotyping component useful (HPI: 89% [17 of 19], TUM: 92% [49 of 53]) and recommended its inclusion in future courses (HPI: 95% [18 of 19], TUM: 98% [52 of 53]).
Conclusion
Students perceived the personal genotyping component as valuable in the described genomics courses. The implementation described here can serve as an example for future courses in Europe.