Results 51 to 60 of about 28,348 (242)

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
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

Discovering Early‐Stage Gas Generation Kinetics Enables Thermal Runaway Early Warning in Lithium‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
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

open access: yesFrontiers in Psychiatry, 2022
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

open access: yesAdvanced Science, EarlyView.
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

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

open access: yesAdvanced 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
wiley   +1 more source

The Optimism Bias: A cognitive neuroscience perspective

open access: yesXJENZA On line, 2014
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

UCtracker: A Deep Learning–Based DNA Methylation Model for Noninvasive Diagnosis and Recurrence Surveillance of Urothelial Carcinoma in a Prospective Study

open access: yesAdvanced Science, EarlyView.
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

The holistic view in forecasting: A conceptual framework to analyze and mitigate cost underestimation arising from optimism bias

open access: yesProject Leadership and Society
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

open access: yesAdvanced Science, EarlyView.
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]

open access: yesTransport Problems, 2016
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

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