Results 141 to 150 of about 56,420 (266)
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
wiley +1 more source
Bayesian Optimization of Catalysis with In-Context Learning. [PDF]
Caldas Ramos M +3 more
europepmc +1 more source
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
wiley +1 more source
Bayesian Optimization of Solvent-Free Thermal Amidation via Reactive Extrusion. [PDF]
Lavayssiere M, Bantreil X, Lamaty F.
europepmc +1 more source
Cancer‐Associated BCL‐2 Mutants Reveal Mechanisms Towards Venetoclax Resistance
Venetoclax (VEN) resistance in chronic lymphocytic leukemia arises from diverse BCL2 mutations. We map mechanisms contributing to VEN resistance across common BCL‐2 variants. G101V and D103Y reduce drug binding and increase sequestration of pro‐apoptotic proteins. V156D blocks VEN allosterically.
Jonas Aufdermauer +9 more
wiley +1 more source
Breaking the Boundaries of Bayesian Optimization Utilizing Continuous Chemistry Digital Twins. [PDF]
Chau BT, Miyai Y, Roper TD.
europepmc +1 more source
Leading the Pack: Next‐Generation Batteries for Humanoid Robotics
Humanoid robots challenge traditional and anticipated energy technologies. Humanoid robot benchmarks of runtimes and energy demands for industry applications inform humanoid robot battery design choices at the cell level, pack level, and system level.
Matthew Bergschneider +6 more
wiley +1 more source
A Guide to Bayesian Optimization in Bioprocess Engineering. [PDF]
Siska M +5 more
europepmc +1 more source
Computational simulations of tumor evolution are increasingly used to infer the rules underlying cancer growth, with the goal of one day recommending tailored treatments. Here we show that the properties of lung cancer sequencing data are best replicated by a model which assumes that cells compete both to proliferate and survive. ABSTRACT Computational
Helena Coggan +5 more
wiley +1 more source
Automating differentially private tabular data synthesis via Bayesian optimization. [PDF]
Pang S +5 more
europepmc +1 more source

