Results 161 to 170 of about 92,198 (268)

Two Kinds of “Woke”? Psychometric Validation of the Critical Right Scale and Revised Critical Social Justice Attitudes Scale

Scandinavian Journal of Psychology, EarlyView.
ABSTRACT This study developed and validated the Critical Right Scale (CRS) to measure emerging critical right attitudes and revised the Critical Social Justice Attitudes Scale (CSJAS‐R), replicating its psychometric evaluation. A nationwide convenience sample of Finnish adults (n = 626) completed an online survey. Item screening used exploratory factor
Oskari Lahtinen
wiley   +1 more source

Enhancing credit card fraud detection with a hybrid approach using machine and deep learning. [PDF]

Sci Rep
Gamal N, Younis EMG, Makram WM.
europepmc   +1 more source

Representativeness and Mode Effects in the Swiss Election Study (Selects): Are Paper Surveys Still Relevant?

Swiss Political Science Review, EarlyView.
Abstract Web‐based surveys have gained popularity due to their cost‐effectiveness and changing participation habits, a trend accelerated by the COVID‐19 pandemic. This raises questions about the continued value of paper‐based surveys in mixed‐mode studies like the Swiss Election Study (Selects), which uses a push‐to‐web design, offering a paper ...
Jan‐Erik Refle, Lukas Lauener, Annika Lindholm   +2 more
wiley   +1 more source

Detection of rare medical events in electronic health records using machine learning: Current practices and suggestions - A scoping review. [PDF]

PLoS One
Gebeyehu B, Kleinberg B, Van Deun K, de Vries E.   +3 more
europepmc   +1 more source

Early prediction of transfusion requirements in trauma patients using explainable machine learning

Transfusion, EarlyView.
Abstract Introduction Hemorrhagic shock is the most common preventable cause of death in trauma patients. Early transfusion significantly improves survivability in patients suffering from hemorrhagic shock. We hypothesized that machine learning models could reduce time to initial transfusion by more rapidly identifying patients likely to require blood ...
Michael R. De La Rosa, Alexander Bowers, Brian Eastridge, Min Wang, Donald Jenkins   +4 more
wiley   +1 more source

Application value of multiphase contrast-enhanced computed tomography radiomics in preoperative evaluation of peritoneal metastasis in gastric cancer. [PDF]

World J Gastrointest Oncol
Mu XD, Ji DX, Kang DQ.
europepmc   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

Applied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang, Alberto Acuto, Yihang Zhou, Dominik Wojtczak   +3 more
wiley   +1 more source

Machine learning strategies for predicting pediatric suicidal behaviors in a Brazilian emergency setting. [PDF]

Front Artif Intell
Carvalho IF, Couto da Silva AP, Lacerda AM, Meira W, Bastos Bispo Ferreira D, Malloy Diniz L, Serpa ALO, Machado MCL, Romano-Silva MA, de Miranda DM, Pappa GL.   +10 more
europepmc   +1 more source

Multidimensional Poverty and Deprivation in Informal Settlements: A Gendered Perspective From the South African Multidimensional Poverty Index

Poverty &Public Policy, Volume 18, Issue 2, June 2026.
ABSTRACT Rapid urbanisation and persistent socio‐economic inequality continue to entrench multidimensional poverty within South Africa's urban informal settlements, with women and female‐headed households experiencing disproportionate deprivation. This study analysed primary household survey data collected in 2023 from 322 households across three ...
Adrino Mazenda, Stellah Lubinga, Hayley Boks, Moses Lubinga   +3 more
wiley   +1 more source

A pruned and parameter-efficient Xception framework for skin cancer classification. [PDF]

PLoS One
Kılıç Ş, Doğan Y.
europepmc   +1 more source