Results 71 to 80 of about 189,516 (253)
Statistical variational data assimilation
Computer Methods in Applied Mechanics and EngineeringThis paper is a contribution in the context of variational data assimilation combined with statistical learning. The framework of data assimilation traditionally uses data collected at sensor locations in order to bring corrections to a numerical model designed using knowledge of the physical system of interest.
Amina Benaceur, Barbara Verfürth
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Advanced Science, EarlyView.Correcting the apparent priming effect resolves systematic biases in Asian rice fertilizer nitrogen accounting. Net soil retention drops below 7%, while 48% of fertilizer escapes, inflicting US$98.53 billion in annual reactive‐nitrogen damages. High‐resolution mapping uncovers N‐risk archetypes across 42% of the rice area, delivering a spatially ...
Xiuyun Liu +5 more
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Forecast of Spectral Features by Ensemble Data Assimilation
Frontiers in Applied Mathematics and Statistics, 2018 Data assimilation permits to compute optimal forecasts in high-dimensional systems as, e.g., in weather forecasting. Typically such forecasts are spatially distributed time series of system variables. We hypothesize that such forecasts are not optimal if
Axel Hutt +3 more
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Advanced Science, EarlyView.Under 660 nm visible light, Ru NCs efficiently photocatalyze nitrate‐to‐ammonium conversion and modulate oral nitrogen metabolism. They precisely perturb Veillonella parvula, block its key support to Porphyromonas gingivalis, and exert an “inhibiting without killing” antivirulence effect.
Jing Zhou +10 more
wiley +1 more source
High Tree Species Diversity Promotes Thermal Enhancement Response of Microbial Carbon Use Efficiency
Advanced Science, EarlyView.ABSTRACT Predicting soil carbon dynamics under warming is constrained by limited understanding of microbial thermal adaptation, particularly whether microbial carbon use efficiency (CUE) can adapt to warming and how plant diversity modulates this response. Using soils from a natural tree species diversity gradient in a subtropical forest, we combined a
Pengpeng Duan +11 more
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Advanced Science, EarlyView.An STI‐guided metagenomic association framework links soybean salt‐tolerance phenotypes with rhizosphere microbiome composition and network organization in natural saline soils. The approach identifies candidate beneficial taxa, including Thalassospira xiamenensis, and provides an efficient strategy for mining stress‐protective microbes from native ...
Yu Luo +3 more
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SiDT1 Defines Plant Architecture Reminiscent of Green Revolution in Foxtail Millet
Advanced Science, EarlyView.SiDT1 encodes a GA3‐oxidase that creates a semi‐dwarf, lodging‐resistant architecture reminiscent of the rice Green Revolution. The resulting ideotype performs well under dense planting and provides a valuable genetic resource for high‐yield, mechanized foxtail millet production. ABSTRACT Foxtail millet (Setaria italica) is a drought‐tolerant C4 cereal
Jianzhen Lv +13 more
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Advanced Science, EarlyView.Cross‐disciplinary endeavors are blossoming across the broad chemical sciences. This perspective provides a glimpse into the rewarding interdisciplinary journey taken by the Charles Loh research group in pioneering the σ‐hole based catalytic glycosylation strategy.
Charles C. J. Loh
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Geophysical Research Letters, 2020 Tropical cyclone maximum intensity is believed to result from a balance between the surface friction, which removes energy, and a temperature/moisture (enthalpy) difference between the sea surface and the air above it, which adds energy.
Robert G. Nystrom +3 more
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A Pan‐Methylome Framework for Population‐Scale Bacterial Epigenomics
Advanced Science, EarlyView.A scalable quantitative framework unlocks population‐level comparative epigenomics in bacteria. By transforming site‐level data into standardized traits, this approach reconstructs methylation‐informed phylogenies and defines the core epigenome.
Bin Ma +22 more
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