Results 71 to 80 of about 192,399 (251)
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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Advanced Science, EarlyView.To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong +11 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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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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Impact of the One-Stream Cloud Detection Method on the Assimilation of AMSU-A Data in GRAPES
Remote Sensing, 2020 Clouds affect the assimilation of microwave data from satellites and therefore the detection of clouds is important under both clear sky and cloudy conditions.
Zhengkun Qin, Zhiwen Wu, Juan Li
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Advanced Science, EarlyView.Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais +32 more
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Advanced Science, EarlyView.Furrow tillage resolves the conventional‐vs.‐no‐tillage trade‐off by simultaneously cutting CO2 efflux to 2.0–3.0 g C m−2 d−1 and unlocking high nutrient availability for the rice rhizosphere. This scalable agronomic solution strengthens soil health, enhances plant physiology, reshapes microbial metabolism, and shifts paddy systems toward a net ...
Arnab Majumdar +10 more
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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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Untangling Inositol (Pyro)Phosphate Biology Through Emerging Technologies
Advanced Science, EarlyView.Inositol (pyro)phosphates represent a vital class of intracellular messengers that govern multiple biological processes. The last decade has experienced a surge of interest in the functions of this class of signaling molecules, primarily due to the introduction of several innovative analytical technologies.
Adolfo Saiardi +5 more
wiley +1 more source
Advanced Science, EarlyView.Plant‐based nanomaterials derived from alfalfa serve as dual‐function catalysts, coupling photodegradation and phytoremediation to degrade polyethylene under UV‐A light and in soil. The nanomaterials work synergistically with alfalfa and soil microbes, achieving efficient plastic breakdown without trophic transfer.
Haoran Liu +4 more
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