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- REE (2)
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- RNA-guided Cas9 (2)
- RNAseq (2)
- RP2 (2)
- Radiation belts (2)
- Radiative transfer (2)
- Radiogenic isotopes (2)
- Rainfall (2)
- Rainfall gradient (2)
- Raman imaging (2)
- Raman microspectroscopy (2)
- Randomized-controlled trial (2)
- Ranking (2)
- Rapeseed oil (2)
- Rapid automatized naming (2)
- Rationality (2)
- Rattus norvegicus (2)
- Rayleigh waves (2)
- Real time (2)
- Reanalysis (2)
- Rearing experiment (2)
- Rearrangement (2)
- Reasoning (2)
- Rechtschreibkompetenz (2)
- Recurrence plot (2)
- Redox polymer (2)
- Reformation (2)
- Reformbereitschaft (2)
- Regionalization (2)
- Regression (2)
- Rehearsal (2)
- Relapse (2)
- Relative clause (2)
- Relative clauses (2)
- Release (2)
- Religionsbegriff (2)
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- Removable sets (2)
- Renal failure (2)
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- Renewable resources (2)
- Replication (2)
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- ResNet (2)
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- Resilienz (2)
- Resistance (2)
- Resurvey (2)
- Retention (2)
- Retina (2)
- Retinol (2)
- Retrieval (2)
- Rezeption (2)
- Ring tensiometry (2)
- Ring-opening polymerization (2)
- Rio Grande (2)
- Risikofaktoren (2)
- Risk factor (2)
- Risk factors (2)
- Risk perception (2)
- River (2)
- River restoration (2)
- Rock magnetism (2)
- Rodent (2)
- Rossby waves (2)
- Rotifera (2)
- Rougon-Macquart (2)
- Royden boundary (2)
- Run time analysis (2)
- Running (2)
- Runtime analysis (2)
- S receiver functions (2)
- SAMT (2)
- SAR (2)
- SARS-CoV-2 (2)
- SAUR (2)
- SDG interactions (2)
- SDS PAGE (2)
- SEIRA spectroelectrochemistry (2)
- SEMG-pattern (2)
- SEPE (2)
- SIMS (2)
- SLA (2)
- SMARC (2)
- SMEs (2)
- SOEP (2)
- SPARQL (2)
- SPM (2)
- SQL (2)
- SRTM (2)
- SSW (2)
- Salmonella Typhimurium (2)
- Sampling rate (2)
- Sarcopenia (2)
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- Scaling (2)
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- Scenario (2)
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- Schrodinger equation (2)
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- Schule (2)
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- Schwerpunktthema „À propos Kehlmann“ (2)
- Scientific discovery learning (2)
- Sclerochronology (2)
- Seawater intrusion (2)
- Second Empire (2)
- Secret society of torturers (2)
- Secularism (2)
- Sediment Transport (2)
- Sediment fingerprinting (2)
- Sediment geochemistry (2)
- Sediment reuse (2)
- Sedimentary basin (2)
- Sedimentology (2)
- Sediments (2)
- Seed mass (2)
- Seismic interferometry (2)
- Seismic monitoring and test-ban treaty verification (2)
- Seismotectonic segmentation (2)
- Seismotectonics (2)
- Selection (2)
- Selection vs. age-class forests (2)
- Self (2)
- Self-assembly (2)
- Self-concept (2)
- Self-harm (2)
- Self-organization (2)
- Self-reflection (2)
- Self-stigmatization (2)
- Semantic preview benefit (2)
- Semantic priming (2)
- Semantics (2)
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- Semiconductors (2)
- Semitic (2)
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- Sentence-picture matching (2)
- Sentinel-1 InSAR (2)
- Sentinel-2 (2)
- Sequence analysis (2)
- Sequential instruction (2)
- Serotonin (2)
- Service-oriented computing (2)
- Sesia Zone (2)
- Sexual conflict (2)
- Sexual dimorphism (2)
- Shame (2)
- Shannon diversity (2)
- Shannon entropy (2)
- Shape memory (2)
- Shape-memory effect (2)
- Shape-memory polymer (2)
- Shire River (2)
- Shona (2)
- Shrews (2)
- Si fractions (2)
- Signal detection theory (2)
- Signal transduction (2)
- Signaling (2)
- Signalling (2)
- Silicon isotopes (2)
- Simulation model (2)
- Sinai diffusion (2)
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- Site characterization (2)
- Site response (2)
- Situated cognition (2)
- Siwaliks (2)
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- Skin (2)
- Skin nanocarrier (2)
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- Small (2)
- Small for gestational age (2)
- Small mammals (2)
- Smart micro-grids (2)
- Smoking (2)
- Social (2)
- Social Inequality (2)
- Social cognition (2)
- Social cues (2)
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- Social learning (2)
- Social origin (2)
- Software (2)
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- Soil heterogeneity (2)
- Soil texture (2)
- Solanum tuberosum (2)
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- Solvents (2)
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- Spatial autocorrelation (2)
- Spatial bias (2)
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- Spatial-numerical associations (2)
- Species co-existence (2)
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- Species complex (2)
- Species distribution models (2)
- Species loss (2)
- Specific entropy (2)
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- Speech production (2)
- Speed (2)
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- Spin probes (2)
- Spiralcurriculum (2)
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- Sprachkontakt (2)
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- Stochastic differential equations (2)
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- Stress response (2)
- Strike-slip faults (2)
- Stroke (2)
- Strong-motion (2)
- Structural equation modeling (2)
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- Student motivation (2)
- Studienerfolg (2)
- Studium (2)
- Sturmhochwasser (2)
- Subarctic North Pacific (2)
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- Subsurface biosphere (2)
- Suguta Valley (2)
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- Sumatra (2)
- Sun: UV radiation (2)
- Sun: heliosphere (2)
- Sun: magnetic topology (2)
- Sun: sunspots (2)
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- Support (2)
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- Surface (2)
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- Systematics (2)
- TGF-beta 1 (2)
- TIG-welding (2)
- TMAO reductase (2)
- TMR (2)
- TPACK (2)
- TRLFS (2)
- TRP channels (2)
- TRPC6 (2)
- Taft equation (2)
- Tailspike protein (2)
- Talik (2)
- Talmud (2)
- TanDEM-X (2)
- Tanzania (2)
- Taphonomy (2)
- Teacher Beliefs (2)
- Teacher beliefs (2)
- Teacher educator (2)
- Teacher judgments (2)
- Teacher learning (2)
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- Technical enzymes (2)
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- Temperate forest (2)
- Temperature-memory effect (2)
- Tendinopathy (2)
- Tense (2)
- Tephrosia purpurea (2)
- TerraSAR-X (2)
- Terrestrial Si cycle (2)
- Test-retest (2)
- Text difficulty (2)
- Text mining (2)
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- Thermal effects (2)
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- Ti4O7 (2)
- Tibet (2)
- Tibetan plateau (2)
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- Toeplitz operators (2)
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- Total hip replacement (2)
- Total knee replacement (2)
- Total organic carbon (2)
- Toxicokinetics (2)
- Trace element geochemistry (2)
- Tracheostomy (2)
- Tracheotomie (2)
- Tracking (2)
- Training (2)
- Trans-European Suture Zone (2)
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- Transform faults (2)
- Transhimalaya (2)
- Transition metals (2)
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- Triticum aestivum L. (2)
- Trochaic Law (2)
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- Trunk muscle strength (2)
- Turbulence (2)
- Turkish German (2)
- Turkish-German bilingualism (2)
- Turnover (2)
- Two forms of isometric muscle action (2)
- Type 1 diabetes (2)
- U-Pb geochronology (2)
- UAV (2)
- UN (2)
- UV (2)
- UV femtosecond laser ablation (2)
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- Ulcerative colitis (2)
- Ultra-low velocity zones (2)
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- Understanding (2)
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- Unique column combination (2)
- Universalismus (2)
- Unmanaged vs. managed forests (2)
- Unsaturated zone (2)
- Unterrichtsplanung (2)
- Upper Cambrian (2)
- Upper Cretaceous (2)
- Ursus arctos (2)
- VERB (2)
- VERB code (2)
- VIIRS DNB (2)
- Valence (2)
- Validität (2)
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- Ventral striatum (2)
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- Vibrio cholerae (2)
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- Visual system (2)
- Vitamin D-binding protein (2)
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- WKB-expansion (2)
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- Weltbürger (2)
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- William James (2)
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- Zechstein salt (2)
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- Zootoca vivipara (2)
- [4+2] cycloaddition (2)
- a priori (2)
- ability differentiation (2)
- aboveground biomass (2)
- abstract concepts (2)
- academic performance (2)
- accelerated globalization (2)
- acceptability judgments (2)
- accounting (2)
- accretion (2)
- accretion discs (2)
- accumulation (2)
- accuracy (2)
- achievement (2)
- achievement emotions (2)
- achilles tendinopathy (2)
- acidophile (2)
- acoustic emissions (2)
- actin (2)
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- action processing (2)
- action recognition (2)
- activated carbon (2)
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- adaptability (2)
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- adjustment (2)
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- administrative reforms (2)
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- aerosol (2)
- affective (2)
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- age differentiation (2)
- agent-based model (2)
- agent-based models (2)
- aggressive behavior (2)
- aggressive cognitions (2)
- aggressive peers (2)
- aggressive sexual fantasies (2)
- agitation (2)
- agricultural landscapes (2)
- air pollution (2)
- airborne (2)
- albuminuria (2)
- alcohol consumption (2)
- aldehyde oxidase (2)
- aldehydes (2)
- allocation policies (2)
- alpha-stable Levy process (2)
- alternaria group (2)
- amino acid (2)
- amitriptyline (2)
- ammonia synthesis (2)
- amperometry (2)
- amplicon sequencing (2)
- amplitude (2)
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- anatexis (2)
- and prediction (2)
- anger regulation (2)
- angiotensin receptor blockers (2)
- animal behavior (2)
- animal behaviour (2)
- animal models (2)
- anisotropic effects (2)
- anorexia (2)
- anorexia nervosa (2)
- anthracene (2)
- anthropogenic environment (2)
- anthropometric measures (2)
- anti-consumption (2)
- anti-humanism (2)
- antibiotics (2)
- anticipation (2)
- antifouling (2)
- antimicrobial polymers (2)
- apatite fission track (2)
- aphasia treatment (2)
- aphids (2)
- apoplast (2)
- app (2)
- apple (2)
- apple replant disease (2)
- approach (2)
- approximation (2)
- aquaporin (2)
- arable weeds (2)
- architecture (2)
- archival DNA (2)
- arctic (2)
- argon dating (2)
- argumentation (2)
- aridification (2)
- aromaticity (2)
- arsenolipids present (2)
- artificial muscles (2)
- aspect ratio (2)
- assembly (2)
- asteroseismology (2)
- astronomical databases (2)
- asymmetry (2)
- asymptotic behavior (2)
- atherosclerosis (2)
- athlete (2)
- atmospheric effects (2)
- atomic force microscopy (AFM) (2)
- attachment (2)
- attentional control (2)
- attentional demand (2)
- attraction (2)
- attribution (2)
- autism (2)
- automatic evaluation (2)
- autonomic nervous system (2)
- autophagy (2)
- auxiliary control (2)
- avoidance (2)
- azobenzene containing surfactants (2)
- azobenzenes (2)
- bacterial O-antigen (2)
- banal nationalism (2)
- bandgap (2)
- bank filtration (2)
- bank vole (2)
- basal accretion (2)
- basic psychological need frustration (2)
- basin analysis (2)
- bat fatalities (2)
- bats (2)
- behaviour (2)
- behavioural syndrome (2)
- benchmark (2)
- benefits (2)
- bifurcation (2)
- big data analytics (2)
- bilinguals (2)
- bioavailability (2)
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- bioelectrocatalysis (2)
- bioelectrochemistry (2)
- biofilm formation (2)
- biogenic amines (2)
- bioindicators (2)
- biological physics (2)
- biological transport (2)
- biosensors (2)
- biosynthesis (2)
- bis-MGD (2)
- bismuth (2)
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- blood (2)
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- blue stragglers (2)
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- body proportions (2)
- bone mineral density (2)
- bootstrapping (2)
- borders (2)
- bottlebrush copolymers (2)
- bottom-up (2)
- bottom-up fabrication (2)
- boundary value problems (2)
- branching (2)
- brassinosteroid (2)
- breathing (2)
- brushes (2)
- brushite (2)
- bryophytes (2)
- bulimia nervosa (2)
- bulk heterojunction (2)
- bulk heterojunctions (2)
- bumps (2)
- burnout (2)
- business process management (2)
- caffeine (2)
- calculation (2)
- cancer therapy (2)
- capacitive sensor (2)
- capacity building (2)
- capillary recruitment (2)
- carbohydrate interaction (2)
- carbon budget (2)
- carbon cycling (2)
- carbon dioxide (2)
- carbon labeling (2)
- carbon markets (2)
- carbonate (2)
- carbonate ramp (2)
- cardiomyopathy (2)
- cardiopulmonary exercise testing (2)
- cardiovascular (2)
- caregiver (2)
- carotenoid (2)
- cartel (2)
- cartographic design (2)
- cascade reactions (2)
- catastrophe climatique (2)
- categorization (2)
- cave fish (2)
- cell (2)
- cell enumeration (2)
- cellular uptake (2)
- center embedding (2)
- cereal leaf beetle (2)
- changement climatique (2)
- channel (2)
- charcoal (2)
- charge-carrier transport (2)
- charge-transfer states (2)
- chemostat experiments (2)
- child care (2)
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- childcare (2)
- chloroplast (2)
- chronic (2)
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- chronic diseases (2)
- ciliates (2)
- circular dichroism (2)
- circulation (2)
- cis-regulatory evolution (2)
- cities (2)
- citizenship (2)
- classical solution (2)
- classical swine fever (2)
- classroom (2)
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- clay (2)
- cleft (2)
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- climate adaptation (2)
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- clinical (2)
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- cluster (2)
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- clusterin (2)
- co-benefits (2)
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- co-ordination (2)
- coagulation (2)
- coarticulation (2)
- coastal geomorphology (2)
- coastal wetland (2)
- coating (2)
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- cod-liver (2)
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- coercive strategies (2)
- coffee by-products (2)
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- cognitive load (2)
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- cognitive-postural dual task (2)
- coherency (2)
- cohomology (2)
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- collective guilt (2)
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- collective motion (2)
- college students (2)
- collision (2)
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- combat sport (2)
- combat sports (2)
- communities (2)
- community assembly (2)
- community structure (2)
- comorbidities (2)
- companies (2)
- comparative studies (2)
- comparative subclause (2)
- compensatory dynamics (2)
- competencies (2)
- competitive growth (2)
- complementarity (2)
- complex networks (2)
- complexes (2)
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- components (2)
- compound flood (2)
- computer games (2)
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- computer-based training (2)
- concentrated solar power (2)
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- concentration (2)
- concepts (2)
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- concrete (2)
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- conduction (2)
- confidence (2)
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- confidentiality (2)
- configuration (2)
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- confocal Raman microscopy (2)
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- conformation (2)
- connections between chaos and statistical physics (2)
- consciousness for fair consumption (2)
- consequences (2)
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- consumer education (2)
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- contact (2)
- containment (2)
- content (2)
- content areas (2)
- content-addressable memory (2)
- continental rifting (2)
- continuous time random walk (CTRW) (2)
- conversational agents (2)
- convolutional neural network (2)
- cooperating systems (2)
- coping strategies (2)
- coping styles (2)
- copolymerization (2)
- core-shell (2)
- core-shell nanostructure (2)
- corona (2)
- coronal mass ejections (CMEs) (2)
- corpus analysis (2)
- corpus study (2)
- correlated noise (2)
- cosmic background radiation (2)
- cost-benefit analysis (2)
- cost-effectiveness analysis (2)
- coumarins (2)
- counterterms (2)
- counting (2)
- coupled oscillators (2)
- coupled rotators (2)
- course design (2)
- critical avalanche dynamics (2)
- critical literacy (2)
- critical phenomena (2)
- cross-curriculum (2)
- cross-domain priming (2)
- cross-education (2)
- cross-lagged panel analysis (2)
- cross-methodological approach (2)
- crowded fluids (2)
- crowding (2)
- crowdsourcing (2)
- crust (2)
- crustal thickness (2)
- cryolithology (2)
- crystal structures (2)
- crystalline (2)
- crystallization behavior (2)
- cue validity (2)
- cultural conceptualisations (2)
- cultural pluralism (2)
- curriculum development (2)
- cyberbullying victimization (2)
- cyclooxygenase (2)
- cylindrical geometry (2)
- cytochrome c (2)
- cytokine (2)
- cytoskeleton (2)
- dark ages (2)
- data matching (2)
- data quality (2)
- data wrangling (2)
- de Rham complex (2)
- debris flow (2)
- debt (2)
- decision processes (2)
- decision tree (2)
- decompositon (2)
- deep neural networks (2)
- deep reinforcement learning (2)
- deep-sea (2)
- defense against predation (2)
- definition (2)
- degradable polymers (2)
- degraded DNA (2)
- dehydration (2)
- dendrimers (2)
- dendroclimatology (2)
- density dependence (2)
- density functional theory (2)
- denudation (2)
- dependencies (2)
- design (2)
- determinants (2)
- determinants of plant community diversity and structure (2)
- deutsch-jüdische Geschichte (2)
- developing countries (2)
- developmental dyslexia (2)
- diagnosis (2)
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- dialysis (2)
- diamond anvil cell (2)
- diary study (2)
- diazo compounds (2)
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- dichotic listening (2)
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- dictyostelium (2)
- dielectric (2)
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- differentiation (2)
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- digital (2)
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- digital technologies (2)
- digitalisation (2)
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- discharge (2)
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- disposition (2)
- distance scale (2)
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- dog (2)
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- driving force (2)
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- drought projections (2)
- drug control (2)
- drug delivery system (2)
- drug metabolism (2)
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- drugs (2)
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- dual GLP-1/glucagon receptor agonist (2)
- duration (2)
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- dynamic loading (2)
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- dysfunction (2)
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- eDNA (2)
- eHealth (2)
- eNOS (2)
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- earthquake source observations (2)
- echocardiography (2)
- echolocation (2)
- eclogite (2)
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- edge-driven convection (2)
- effectors (2)
- effects (2)
- efficient (2)
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- electric fish (2)
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- electrodes (2)
- electroencephalography (2)
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- electron microscopy (2)
- electron-transfer (2)
- electropolymerization (2)
- elemental composition (2)
- elementary school (2)
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- employment services (2)
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- emulsion polymerization (2)
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- enzyme (2)
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- genealogy (2)
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- gibberellic acid (2)
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- in situ (2)
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- information integration (2)
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- iterative regularization (2)
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- knee (2)
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- knowledge sharing (2)
- kommunale Demokratie (2)
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- lactate threshold (2)
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- land management (2)
- land-use (2)
- landscape connectivity (2)
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- plant species richness (2)
- plant volatiles (2)
- plant-soil (belowground) interactions (2)
- plasma instabilities (2)
- plasmaspheric hiss (2)
- plateau (2)
- platform (2)
- platinum (2)
- plausibility (2)
- playa (2)
- pluvial floods (2)
- plyometric exercise (2)
- plyometrics (2)
- point clouds (2)
- polarity (2)
- policy advice (2)
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- policy-making (2)
- political elites (2)
- political ideology (2)
- political philosophy (2)
- politische Eliten (2)
- politische Ideologie (2)
- pollinator shift (2)
- poly(epsilon-caprolactone) (2)
- polyadenylation (2)
- polyampholytes (2)
- polyelectrolytes (2)
- polyester (2)
- polyesterurethanes (2)
- polymer degradation (2)
- polymersomes (2)
- polyphenols (2)
- polysemy (2)
- polystyrene-block-poly(4-vinylpyridine) (2)
- population cycles (2)
- population growth rate (2)
- population size (2)
- population structure (2)
- populations (2)
- pore pressure (2)
- porous silicon (2)
- positioning (2)
- positive solutions (2)
- possessives (2)
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- potassium channel (2)
- power spectral analysis (2)
- pp-wave solutions (2)
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- predictors (2)
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- preference assessment (2)
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- pressures (2)
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- printing (2)
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- probability (2)
- probability density function (2)
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- pulling isometric muscle action (PIMA) (2)
- pulsars: individual: PSR B0833-45 (2)
- purification (2)
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Institute
- Institut für Physik und Astronomie (4087)
- Institut für Biochemie und Biologie (3728)
- Institut für Geowissenschaften (2776)
- Institut für Chemie (2397)
- Department Psychologie (1745)
- Institut für Romanistik (1127)
- Wirtschaftswissenschaften (1110)
- Historisches Institut (1051)
- Institut für Mathematik (1046)
- Sozialwissenschaften (1031)
We perform a statistical clustering analysis of upper main-sequence stars in the Large Magellanic Cloud (LMC) using data from the Visible and Infrared Survey Telescope for Astronomy survey of the Magellanic Clouds. We map over 2500 young stellar structures at 15 significance levels across similar to 120 square degrees centred on the LMC. The structures have sizes ranging from a few parsecs to over 1 kpc. We find that the young structures follow power-law size and mass distributions. From the perimeter-area relation, we derive a perimeter-area dimension of 1.44 +/- 0.20. From the mass-size relation and the size distribution, we derive two-dimensional fractal dimensions of 1.50 +/- 0.10 and 1.61 +/- 0.20, respectively. We find that the surface density distribution is well represented by a lognormal distribution. We apply the Larson relation to estimate the velocity dispersions and crossing times of these structures. Our results indicate that the fractal nature of the young stellar structures has been inherited from the gas clouds from which they form and that this architecture is generated by supersonic turbulence. Our results also suggest that star formation in the LMC is scale-free from 10 to 700 pc.
We present an astrometric and photometric wide-field study of the Galactic open star cluster M37 (NGC 2099). The studied field was observed with ground-based images covering a region of about four square degrees in the Sloan-like filters ugi. We exploited the Gaia catalogue to calibrate the geometric distortion of the large field mosaics, developing software routines that can be also applied to other wide-field instruments. The data are used to identify the hottest white dwarf (WD) member candidates of M37. Thanks to the Gaia EDR3 exquisite astrometry we identified seven such WD candidates, one of which, besides being a high-probability astrometric member, is the putative central star of a planetary nebula. To our knowledge, this is a unique object in an open cluster, and we have obtained follow-up low-resolution spectra that are used for a qualitative characterization of this young WD. Finally, we publicly release a three-colour atlas and a catalogue of the sources in the field of view, which represents a complement of existing material.
Assessing the risk of yield loss in African drought-affected regions is key to identify feasible solutions for stable crop production. Recent studies have demonstrated that Copula-based probabilistic methods are well suited for such assessment owing to reasonably inferring important properties in terms of exceedance probability and joint dependence of different characterization. However, insufficient attention has been given to quantifying the probability of yield loss and determining the contribution of climatic factors. This study applies the Copula theory to describe the dependence between drought and crop yield anomalies for rainfed maize, millet, and sorghum crops in sub-Saharan Africa (SSA). The environmental policy integrated climate model, calibrated with Food and Agriculture Organization country-level yield data, was used to simulate yields across SSA (1980-2012). The results showed that the severity of yield loss due to drought had a higher magnitude than the severity of drought itself. Sensitivity analysis to identify factors contributing to drought and high-temperature stresses for all crops showed that the amount of precipitation during vegetation and grain filling was the main driver of crop yield loss, and the effect of temperature was stronger for sorghum than for maize and millet. The results demonstrate the added value of probabilistic methods for drought-impact assessment. For future studies, we recommend looking into factors influencing drought and high-temperature stresses as individual/concurrent climatic extremes.
Magnetic fields can play an important role in stellar evolution. Among white dwarfs, the most common stellar remnant, the fraction of magnetic systems is more than 20 per cent. The origin of magnetic fields in white dwarfs, which show strengths ranging from 40 kG to hundreds of MG, is still a topic of debate. In contrast, only one magnetic hot subdwarf star has been identified out of thousands of known systems. Hot subdwarfs are formed from binary interaction, a process often associated with the generation of magnetic fields, and will evolve to become white dwarfs, which makes the lack of detected magnetic hot subdwarfs a puzzling phenomenon. Here we report the discovery of three new magnetic hot subdwarfs with field strengths in the range 300-500 kG. Like the only previously known system, they are all helium-rich O-type stars (He-sdOs). We analysed multiple archival spectra of the three systems and derived their stellar properties. We find that they all lack radial velocity variability, suggesting formation via a merger channel. However, we derive higher than typical hydrogen abundances for their spectral type, which are in disagreement with current model predictions. Our findings suggest a lower limit to the magnetic fraction of hot subdwarfs of 0.147(+0.143)(-0.047) per cent, and provide evidence for merger-induced magnetic fields which could explain white dwarfs with field strengths of 50-150 MG, assuming magnetic flux conservation.
Modern pollen-vegetation-climate relationships underpin palaeovegetation and palaeoclimate reconstructions from fossil pollen records. East Siberia is an ideal area for investigating the relationships between modern pollen assemblages and near natural vegetation under cold continental climate conditions. Reliable pollen-based quantitative vegetation and climate reconstructions are still scarce due to the limited number of modern pollen datasets. Furthermore, differences in pollen representation of samples from lake sediments and soils are not well understood. Here, we present a new pollen dataset of 48 moss/soil and 24 lake surface-sediment samples collected in Chukotka and central Yakutia in East Siberia. The pollen-vegetation-climate relationships were investigated by ordination analyses. Generally, tundra and taiga vegetation types can be well distinguished in the surface pollen assemblages. Moss/soil and lake samples contain generally similar pollen assemblages as revealed by a Procrustes comparison with some exceptions. Overall, modern pollen assemblages reflect the temperature and precipitation gradients in the study areas as revealed by constrained ordination analysis. We estimate the relative pollen productivity (RPP) of major taxa and the relevant source area of pollen (RSAP) for moss/soil samples from Chukotka and central Yakutia using Extended R-Value (ERV) analysis. The RSAP of the tundra-forest transition area in Chukotka and taiga area in central Yakutia are ca. 1300 and 360 m, respectively. For Chukotka, RPPs relative to both Poaceae and Ericaceae were estimated while RPPs for central Yakutia were relative only to Ericaceae. Relative to Ericaceae (reference taxon, RPP = 1), Larix, Betula, Picea, and Pinus are overrepresented while Alnus, Cyperaceae, Poaceae, and Salix are underrepresented in the pollen spectra. Our estimates are in general agreement with previously published values and provide the basis for reliable quantitative reconstructions of East Siberian vegetation.
Uncertainty in climate change impact studies for irrigated maize cropping systems in southern Spain
(2022)
This study investigates the main drivers of uncertainties in simulated irrigated maize yield under historical conditions as well as scenarios of increased temperatures and altered irrigation water availability.
Using APSIM, MONICA, and SIMPLACE crop models, we quantified the relative contributions of three irrigation water allocation strategies, three sowing dates, and three maize cultivars to the uncertainty in simulated yields.
The water allocation strategies were derived from historical records of farmer's allocation patterns in drip-irrigation scheme of the Genil-Cabra region, Spain (2014-2017).
By considering combinations of allocation strategies, the adjusted R-2 values (showing the degree of agreement between simulated and observed yields) increased by 29% compared to unrealistic assumptions of considering only near optimal or deficit irrigation scheduling. The factor decomposition analysis based on historic climate showed that irrigation strategies was the main driver of uncertainty in simulated yields (66%).
However, under temperature increase scenarios, the contribution of crop model and cultivar choice to uncertainty in simulated yields were as important as irrigation strategy. This was partially due to different model structure in processes related to the temperature responses.
Our study calls for including information on irrigation strategies conducted by farmers to reduce the uncertainty in simulated yields at field scale.
The contribution of dead zooplankton biomass to carbon cycle in aquatic ecosystems is practically unknown. Using abundance data of zooplankton in water column and dead zooplankton in sediment traps in Lake Stechlin, an ecological-mathematical model was developed to simulate the abundance and sinking of zooplankton carcasses and predict the related release of labile organic matter (LOM) into the water column. We found species-specific differences in mortality rate of the dominant zooplankton: Daphnia cucullata, Bosmina coregoni and Diaphanosoma brachyurum (0.008, 0.129 and 0.020 day(-1), respectively) and differences in their carcass sinking velocities in metalimnion (and hypolimnion): 2.1 (7.64), 14.0 (19.5) and 1.1 (5.9) m day(-1), respectively. Our model simulating formation and degradation processes of dead zooplankton predicted a bimodal distribution of the released LOM: epilimnic and metalimnic peaks of comparable intensity, ca. 1 mg DW m(-3) day(-1). Maximum degradation of carcasses up to ca. 1.7 mg DW m(-3) day(-1) occurred in the density gradient zone of metalimnion. LOM released from zooplankton carcasses into the surrounding water may stimulate microbial activity and facilitate microbial degradation of more refractory organic matter; therefore, dead zooplankton are expected to be an integral part of water column carbon source/sink dynamics in stratified lakes.
A bacterial effector counteracts host autophagy by promoting degradation of an autophagy component
(2022)
Beyond its role in cellular homeostasis, autophagy plays anti- and promicrobial roles in host-microbe interactions, both in animals and plants.
One prominent role of antimicrobial autophagy is to degrade intracellular pathogens or microbial molecules, in a process termed xenophagy.
Consequently, microbes evolved mechanisms to hijack or modulate autophagy to escape elimination.
Although well-described in animals, the extent to which xenophagy contributes to plant-bacteria interactions remains unknown.
Here, we provide evidence that Xanthomonas campestris pv. vesicatoria (Xcv) suppresses host autophagy by utilizing type-III effector XopL. XopL interacts with and degrades the autophagy component SH3P2 via its E3 ligase activity to promote infection.
Intriguingly, XopL is targeted for degradation by defense-related selective autophagy mediated by NBR1/Joka2, revealing a complex antagonistic interplay between XopL and the host autophagy machinery.
Our results implicate plant antimicrobial autophagy in the depletion of a bacterial virulence factor and unravel an unprecedented pathogen strategy to counteract defense-related autophagy in plant-bacteria interactions.
Etmopteridae (lantern sharks) is the most species-rich family of sharks, comprising more than 50 species.
Many species are described from few individuals, and re-collection of specimens is often hindered by the remoteness of their sampling sites.
For taxonomic studies, comparative morphological analysis of type specimens housed in natural history collections has been the main source of evidence.
In contrast, DNA sequence information has rarely been used.
Most lantern shark collection specimens, including the types, were formalin fixed before long-term storage in ethanol solutions.
The DNA damage caused by both fixation and preservation of specimens has excluded these specimens from DNA sequence-based phylogenetic analyses so far.
However, recent advances in the field of ancient DNA have allowed recovery of wet-collection specimen DNA sequence data.
Here we analyse archival mitochondrial DNA sequences, obtained using ancient DNA approaches, of two wet-collection lantern shark paratype specimens, namely Etmopterus litvinovi and E. pycnolepis, for which the type series represent the only known individuals.
Target capture of mitochondrial markers from single-stranded DNA libraries allows for phylogenetic placement of both species.
Our results suggest synonymy of E. benchleyi with E. litvinovi but support the species status of E. pycnolepis. This revised taxonomy is helpful for future conservation and management efforts, as our results indicate a larger distribution range of E. litvinovi. This study further demonstrates the importance of wet-collection type specimens as genetic resource for taxonomic research.
Auger-photoelectron coincidence spectroscopy (APECS) has been used to examine the electron correlation and itinerance effects in transition metals Cu, Ni and Co.
It is shown that the LVV Auger, in coincidence with 2p photoelectrons, spectra can be represented using atomic multiplet positions if the 3d-shell is localized (atomic-like) and with a self-convoluted valence band for band-like (itinerant) materials as explained using the Cini-Sawatzky model.
For transition metals, the 3d band changes from band-like to localized with increasing atomic number, with the possibility of a mixed behavior.
Our result shows that the LVV spectra of Cu can be represented by atomic multiplet calculations, those of Co resemble the self-convolution of the valence band and those of Ni are a mixture of both, consistent with the Cini-Sawatzky model.
Air chemistry is affected by the emission of biogenic volatile organic compounds (BVOCs), which originate from almost all plants in varying qualities and quantities. They also vary widely among different crops, an aspect that has been largely neglected in emission inventories. In particular, bioenergy-related species can emit mixtures of highly reactive compounds that have received little attention so far. For such species, long-term field observations of BVOC exchange from relevant crops covering different phenological phases are scarcely available. Therefore, we measured and modeled the emission of three prominent European bioenergy crops (maize, ryegrass, and oil-seed rape) for full rotations in north-eastern Germany. Using a proton transfer reaction-mass spectrometer combined with automatically moving large canopy chambers, we were able to quantify the characteristic seasonal BVOC flux dynamics of each crop species. The measured BVOC fluxes were used to parameterize and evaluate the BVOC emission module (JJv) of the physiology-oriented LandscapeDNDC model, which was enhanced to cover de novo emissions as well as those from plant storage pools. Parameters are defined for each compound individually. The model is used for simulating total compound-specific reactivity over several years and also to evaluate the importance of these emissions for air chemistry. We can demonstrate substantial differences between the investigated crops with oil-seed rape having 37-fold higher total annual emissions than maize. However, due to a higher chemical reactivity of the emitted blend in maize, potential impacts on atmospheric OH-chemistry are only 6-fold higher.
Detection of changes in dynamic balance could help identify older adults at fall risk. Walking on a narrow beam with its width, cognitive load, and arm position manipulated could be an alternative to current tests. Therefore, we examined additive and interactive effects of beam width, cognitive task (CT), and arm position on dynamic balance during beam walking in older adults. Twenty older adults (69 +/- 4y) walked on 6, 8, and 10-cm wide beams (2-cm high, 4-m-long), with and without CT, with three arm positions (free, crossed, akimbo). We determined cognitive errors, distance walked, step speed, root mean square (RMS) of center of mass (COM) displacement and trunk acceleration in the frontal plane. Beam width decrease progressively reduced distance walked and increased trunk acceleration RMS. Step speed decreased on the narrowest beam and with CT. Arm crossing decreased distance walked and step speed. COM displacement RMS and cognitive errors were not affected by any manipulation. In conclusion, distance walked indicated that beam width and arm position, but less so CT, affected dynamic balance, implying that beam walking has the potential to become a test of fall risk. Stability measurements suggested effective trunk adjustments to control COM position and keep dynamic balance during the task.
As the recent permafrost thawing of northern Asia proceeds due to anthropogenic climate change, precise and detailed palaeoecological records from past warm periods are essential to anticipate the extent of future permafrost variations. Here, based on the modern relationship between permafrost and vegetation (represented by pollen assemblages), we trained a Random Forest model using pollen and permafrost data and verified its reliability to reconstruct the history of permafrost in northern Asia during the Holocene. An early Holocene (12-8 cal ka BP) strong thawing trend, a middle-to-late Holocene (8-2 cal ka BP) relatively slow thawing trend, and a late Holocene freezing trend of permafrost in northern Asia are consistent with climatic proxies such as summer solar radiation and Northern Hemisphere temperature. The extensive distribution of permafrost in northern Asia inhibited the spread of evergreen coniferous trees during the early Holocene warming and might have decelerated the enhancement of the East Asian summer monsoon (EASM) by altering hydrological processes and albedo. Based on these findings, we suggest that studies of the EASM should consider more the state of permafrost and vegetation in northern Asia, which are often overlooked and may have a profound impact on climate change in this region.
Arctic coasts, which feature land-ocean transport of freshwater, sediments, and other terrestrial material, are impacted by climate change, including increased temperatures, melting glaciers, changes in precipitation and runoff.
These trends are assumed to affect productivity in fjordic estuaries.
However, the spatial extent and temporal variation of the freshwater-driven darkening of fjords remain unresolved.
The present study illustrates the spatio-temporal variability of suspended particulate matter (SPM) in the Adventfjorden estuary, Svalbard, using in-situ field campaigns and ocean colour remote sensing (OCRS) via high-resolution Sentinel-2 imagery.
To compute SPM concentration (C-SPMsat), a semi-analytical algorithm was regionally calibrated using local in-situ data, which improved the accuracy of satellite-derived SPM concentration by similar to 20% (MRD). Analysis of SPM concentration for two consecutive years (2019, 2020) revealed strong seasonality of SPM in Adventfjorden.
Highest estimated SPM concentrations and river plume extent (% of fjord with C-SPMsat > 30 mg L-1) occurred during June, July, and August.
Concurrently, we observed a strong relationship between river plume extent and average air temperature over the 24 h prior to the observation (R-2 = 0.69).
Considering predicted changes to environmental conditions in the Arctic region, this study highlights the importance of the rapidly changing environmental parameters and the significance of remote sensing in analysing fluxes in light attenuating particles, especially in the coastal Arctic Ocean.
Context.
Thermonuclear supernovae (SNe), a subset of which are the highly important SNe of Type Ia and Iax, are relatively poorly understood phenomena. One of the more promising scenarios leading up to the creation of a thermonuclear SN involves accretion of helium-rich material from a binary companion. Following the SN, the binary companion is then ejected from the location of the progenitor binary at velocities possibly large enough to unbind it from the gravitational potential of the Galaxy. Ejected companion stars should form a detectable population, if their production mechanism is not exceedingly rare.
Aims.
This study builds on previous works, producing the most extensive prediction of the properties of such a hypothetical population to date, taking both Chandrasekhar and non-Chandrasekhar mass events into account. These results are then used to define criteria for membership of this population and characterise putative subpopulations.
Methods.
This study contains 6 x 10(6) individual ejection trajectories out of the Galactic plane calculated with the stellar kinematics framework SHyRT, which are analysed with regard to their bulk observational properties. These are then put into context with the only previously identified population member US 708 and applied to a number of other possible candidate objects.
Results.
We find that two additional previously observed objects possess properties to warrant a designation as candidate objects. Characterisation of these object with respect to the predicted population finds all of them to be extreme in at least one astrometric observable. Higher mass ( >0 :7 M-circle dot) objects should be over-represented in the observationally accessible volume, with the ratio of bound to unbound objects being an accessible observable for the determination of the dominant terminal accretor mass. We find that current observations of runaway candidates within 10 kpc support a Galactic SN rate of the order of similar to 3 x 10(-7) yr(-1) to similar to 2 x 10(-6) yr(-1), three orders of magnitude below the inferred Galactic SN Ia rate and two orders of magnitude below the formation rate of predicted He-donor progenitors.
Conclusions.
The number of currently observed population members suggests that the He-donor scenario, as suspected before, is not a dominant contributor to the number of observed SNe Ia. However, even at the low event rate suggested, we find that the majority of possibly detectable population members is still undetected. The extreme nature of current population members suggests that a still larger number of objects has simply evaded detection up to this point, hinting at a higher contribution than is currently supported by observation.
Leaf area index (LAI) is a key variable in understanding and modeling crop-environment interactions.
With the advent of increasingly higher spatial resolution satellites and sensors mounted on remotely piloted aircrafts (RPAs), the use of remote sensing in precision agriculture is becoming more common.
Since also the availability of methods to retrieve LAI from image data have also drastically expanded, it is necessary to test simultaneously as many methods as possible to understand the advantages and disadvantages of each approach.
Ground-based LAI data from three years of barley experiments were related to remote sensing information using vegetation indices (VI), machine learning (ML) and radiative transfer models (RTM), to assess the relative accuracy and efficacy of these methods.
The optimized soil adjusted vegetation index and a modified version of the Weighted Difference Vegetation Index performed slightly better than any other retrieval method. However, all methods yielded coefficients of determination of around 0.7 to 0.9.
The best performing machine learning algorithms achieved higher accuracies when four Sentinel-2 bands instead of 12 were used.
Also, the good performance of VIs and the satisfactory performance of the 4-band RTM, strongly support the synergistic use of satellites and RPAs in precision agriculture. One of the methods used, Sen2-Agri, an open source ML-RTM-based operational system, was also able to accurately retrieve LAI, although it is restricted to Sentinel-2 and Landsat data.
This study shows the benefits of testing simultaneously a broad range of retrieval methods to monitor crops for precision agriculture.
Diffusion with stochastic resetting is a paradigm of resetting processes. Standard renewal or master equation approach are typically used to study steady state and other transport properties such as average, mean squared displacement etc.
What remains less explored is the two time point correlation functions whose evaluation is often daunting since it requires the implementation of the exact time dependent probability density functions of the resetting processes which are unknown for most of the problems.
We adopt a different approach that allows us to write a stochastic solution for a single trajectory undergoing resetting.
Moments and the autocorrelation functions between any two times along the trajectory can then be computed directly using the laws of total expectation. Estimation of autocorrelation functions turns out to be pivotal for investigating the ergodic properties of various observables for this canonical model.
In particular, we investigate two observables (i) sample mean which is widely used in economics and (ii) time-averaged-mean-squared-displacement (TAMSD) which is of acute interest in physics.
We find that both diffusion and drift-diffusion processes with resetting are ergodic at the mean level unlike their reset-free counterparts. In contrast, resetting renders ergodicity breaking in the TAMSD while both the stochastic processes are ergodic when resetting is absent. We quantify these behaviors with detailed analytical study and corroborate with extensive numerical simulations.
Our results can be verified in experimental set-ups that can track single particle trajectories and thus have strong implications in understanding the physics of resetting.
Although phytoliths are recognized as an important proxy for paleoenvironmental reconstruction, the quantitative relationship between phytoliths and climate is still debated. In order to provide an improved basis for phytolith-based paleoclimate reconstructions, a representative modern phytolith dataset is essential. Here, we synthesize a modern topsoil phytolith dataset for Northeast China, analyze its climatic significance, and apply it to a fossil phytolith series from the Hani peat core in Northeast China. The dataset comprises 660 topsoil phytolith assemblages from 289 sample sites. We compiled modern meteorological data to assess the quantitative relationship between the phytolith assemblages and climatic variables. Detrended correspondence analysis (DCA) and Redundancy analysis (RDA) were used to determine the dominant climatic variable influencing the phytolith distributions. The results showed that mean annual temperature (MAT) is the dominant variable controlling the spatial distribution of phytoliths, accounting for 8.91% of the total variance. Transfer function based on inverse deshrinking locally-weighted weighted averaging (LWWA_Inv) was developed for MAT (R-_boot(2) = 0.86, RMSEP = 1.02 degrees C). Applying the LWWA_Inv transfer function to fossil phytolith records from the Hani peat core enables quantitative inferences to be made about Holocene climate changes in Northeast China. Overall, combined with the LWWA_Inv method, the topsoil phytolith dataset of Northeast China can be used for reliable quantitative MAT reconstruction.
We investigate whether the distribution of maximum seasonal streamflow is significantly affected by catchment or climate state of the season/month ahead. We fit the Generalized Extreme Value (GEV) distribution to extreme seasonal streamflow for around 600 stations across Europe by conditioning the GEV location and scale parameters on 14 indices, which represent the season-ahead climate or catchment state. The comparison of these climate-informed models with the classical GEV distribution, with time-constant parameters, suggests that there is a substantial potential for seasonal forecasting of flood probabilities. The potential varies between seasons and regions. Overall, the season-ahead catchment wetness shows the highest potential, although climate indices based on large-scale atmospheric circulation, sea surface temperature or sea ice concentration also show some skill for certain regions and seasons. Spatially coherent patterns and a substantial fraction of climate-informed models are promising signs towards early alerts to increase flood preparedness already a season ahead.