Results 181 to 190 of about 43,983 (273)
Limitations of Variational Laplace-Based Dynamic Causal Modelling for Multistable Cortical Circuits. [PDF]
Asadpour A, Azimi A, Wong-Lin K.
europepmc +1 more source
ABSTRACT The United States (U.S.) faces challenges in achieving its ambitious net‐zero carbon emissions target by 2050, with current emissions having fallen by less than 1% in 2024. Despite an investment of $500 billion in low‐carbon resources while holding the second‐largest green technology patent portfolio globally, it is further imperative to ...
Md Zubair Ahmad +5 more
wiley +1 more source
ARTreeFormer: A faster attention-based autoregressive model for phylogenetic inference. [PDF]
Xie T, Mao Y, Zhang C.
europepmc +1 more source
Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao +6 more
wiley +1 more source
PICDGI: A framework for predicting cancer driver genes through dynamic gene-gene interaction modeling of single-cell data. [PDF]
Atitey K, Anchang B.
europepmc +1 more source
Primary Psychoses Among Sentenced Prisoners in Finland
ABSTRACT Background Recent studies suggest an increased prevalence of primary psychotic disorders among sentenced prisoners in Finland. Exploring the extent and correlates of lifetime primary psychoses through high‐quality data is crucial for early identification and effective interventions within correctional settings.
Petra Laivonen +2 more
wiley +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
A fast integrative clustering and feature selection approach for high-dimensional multiview data. [PDF]
Alnajjar A, Bian H, Lu Z.
europepmc +1 more source
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source

