Results 191 to 200 of about 194,690 (288)

Allyship Motives and Their Differential Associations With Identity and Collective Action

European Journal of Social Psychology, EarlyView.
ABSTRACT Across three studies (N = 785) in the context of anti‐racist collective action in the United States and Germany, we empirically validate a theoretical framework of four motives for advantaged group allyship: outgroup‐focused, ingroup‐focused, personal and morality. We investigate the types of identification these motives stem from and how they
Lea Hartwich, Julia C. Becker
wiley   +1 more source

Multilevel learning aided coevolutionary particle swarm optimization algorithm for multiobjective fuzzy flexible job shop scheduling problem. [PDF]

Sci Rep
Chen J, Zhao H, Cui Z, Ma T.
europepmc   +1 more source

Seizure forecasting with epilepsy cycles: On the causality of forecasting pipelines

Epilepsia, EarlyView.
Abstract Objective Seizure risk is modulated by multiscale brain rhythms. Previous studies using cycles in electroencephalography, heart rate, and wearable data suggest the possibility of forecasting seizures days in advance. However, they commonly rely on methods requiring (days of) information from time points beyond the moment of forecast (noncausal
Hongliu Yang, Jens Müller, Sotirios Kalousios, Georg Leonhardt, Matthias Dümpelmann, Andreas Schulze‐Bonhage, Ronald Tetzlaff   +6 more
wiley   +1 more source

Assessment of management accounting information using decision algorithm with prioritized weights in circular fermatean fuzzy CRITIC WASPAS model. [PDF]

Sci Rep
Li Q.
europepmc   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

A TODIM based decision-making framework using intuitionistic double hierarchy linguistic terms for evaluating polymer absorbing algae in marine debris management. [PDF]

Sci Rep
Tahir M, Zidan AM, Saeed AM, Hamoud AA, Shah SIA, Abdullah S.   +5 more
europepmc   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

Dynamic Severity Assessment of Partial Discharge in HV Bushings Based on the Evolution Characteristics of Dense Clusters in PRPD Patterns. [PDF]

Sensors (Basel)
Gao X, Li Z, Xu Z, Yin P, Xie X, Yang X, Wan B.   +6 more
europepmc   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

Participatory-informed preference optimization (PiPrO): A reinforcement learning simulation study. [PDF]

PLOS Digit Health
Templin T, Song S, Fort S, Sinnott-Armstrong N.   +3 more
europepmc   +1 more source