Results 161 to 170 of about 10,877,215 (250)
An integrated model of threshold-based scaling and fractional admission controlling to improve resource utilization efficiency in 5G core networks. [PDF]
Hoa LC, Dang TC, Vo VMN.
europepmc +1 more source
ABSTRACT Objective Non‐operative management with antibiotics has emerged as an alternative to appendectomy for uncomplicated appendicitis. This study compared one‐year healthcare costs and utilization outcomes after operative versus non‐operative management of uncomplicated appendicitis using statewide administrative data.
Andrew C. Meltzer +5 more
wiley +1 more source
Network Meta-Analysis of Survival Outcomes With Non-Proportional Hazards Using Flexible M-Splines. [PDF]
Phillippo DM +3 more
europepmc +1 more source
Abstract Dielectric barrier discharge (DBD) plasma systems are promising routes for CH4 splitting to COx‐free hydrogen, but their optimization has historically been hindered by the lack of a universal descriptor linking electrical input with chemical output.
Nan Zou +4 more
wiley +1 more source
Carbonate species play a previously overlooked role in near‐neutral seawater electrocatalysis. By coupling electrochemical hydrodynamics with mesoscopic simulations, we reveal a plausible carbonate‐mediated route in which carbonate functions as an interfacial proton acceptor and water as the oxygen donor, showing a possible mechanistic picture of ...
Miao Wang +2 more
wiley +2 more sources
Graphical Visualization Approach for Two-Dimensional Liquid Chromatography with Parallel Column Arrays. [PDF]
Parker D +4 more
europepmc +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Inference for Deep Neural Network Estimators in Generalized Nonparametric Models. [PDF]
Meng X, Li Y.
europepmc +1 more source
Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function
A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia +3 more
wiley +1 more source

