Results 51 to 60 of about 28,348 (242)
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Operando gas diagnostics reveal a previously unrecognized chemical activation (CA) stage during thermal runaway in lithium‐ion batteries. A physics‐informed gas generation kinetics network (GGKNet) is developed to reconstruct reaction pathways and physical models automatically.
Jiabo Zhang +6 more
wiley +1 more source
In- and Out-Group Effects on Social Perception and Empathy in Cocaine Use Disorder
Earlier research revealed that cocaine users display impairments in emotional but not necessarily in cognitive empathy. However, no study to date has tested whether empathy is generally altered or whether impairments are restricted to specific social ...
Tatjana Aue +7 more
doaj +1 more source
Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford +3 more
wiley +1 more source
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
The Optimism Bias: A cognitive neuroscience perspective
The optimism bias is a well-established psychological phenomenon. Its study has implications that are far reaching in fields as diverse as mental health and economic theory. With the emerging field of cognitive neuroscience and the advent of advanced neuroimaging techniques, it has been possible to investigate the neural basis of the optimism bias and ...
openaire +2 more sources
We developed UCtracker, a urine DNA methylation–based deep learning model, for noninvasive diagnosis and postoperative surveillance of urothelial carcinoma. UCtracker demonstrates high diagnostic accuracy, robustness at ultralow sequencing depth, early recurrence detection, and dynamic risk‐stratified monitoring of molecular residual disease ...
Shengwei Xiong +19 more
wiley +1 more source
In the intricate landscape of project planning literature, optimism bias emerges as a significant factor influencing estimation inaccuracies. This research delves into the interplay between support and prospect theories, aiming to elucidate the ...
Giuseppe Sassano
doaj +1 more source
Design Principles for Alloy‐Anode‐Based Low‐Stack‐Pressure Solid‐State Batteries
Design principles for matching alloy anodes with solid electrolytes to achieve low‐pressure solid‐state batteries are identified through electro‐chemo‐mechanical modeling, which reveals the critical stack pressure for interfacial stability, and validated experimentally.
Yuping Huang +7 more
wiley +1 more source
REFERENCE CLASS FORECASTING IN ICELANDIC TRANSPORT INFRASTRUCTURE PROJECTS [PDF]
Previous studies have indicated that the majority of infrastructure projects have cost overruns. The root causes are traced to political, technical and psychological reasons at the initial stage of the project.
Thordur Vikingur FRIDGEIRSSON
doaj +1 more source

