Results 221 to 230 of about 150,993 (319)

A hybrid fuzzy logic-Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support. [PDF]

Front Artif Intell
Hudon A.
europepmc   +1 more source

A Subjective Logic Based Extensional Approach to Non-Monotonic Reasoning under Uncertainty and its Application to Visual Surveillance

, 2012
Seunghan Han
openalex   +1 more source

Developing and Testing Electronic Versions of the Advance QoL Tools for Collecting Self‐Reports of Quality of Life in Children and Adolescents With Advanced Cancer

Scandinavian Journal of Caring Sciences, Volume 40, Issue 1, March 2026.
ABSTRACT Introduction To provide appropriate interventions for young people with advanced cancer, self‐reported questionnaires assessing quality of life (QoL) are crucial. This study aims to develop and test electronic versions of two short self‐reported questionnaires (for children aged 8–12 and adolescents aged 13–18).
Lye‐Ann Robichaud, Nikita Guarascio, Michel Duval, Bruno Michon, Marianne Olivier‐D'Avignon, Mathias Tyo‐Gomez, Émélie Rondeau, Marc‐Antoine Marquis, Serge Sultan   +8 more
wiley   +1 more source

Predicting student academic achievement using stacked ensemble learning with deep neural networks and fuzzy-based feature selection. [PDF]

Sci Rep
Gu J.
europepmc   +1 more source

A Primer for Preferential Non-Monotonic Propositional Team Logics [PDF]

Kai Sauerwald, Juha Kontinen
openalex   +1 more source

SKALE: An Interpretable Multiscale Machine Learning Model for Decoding Phase‐Specific Protein Aggregation in Neurodegenerative Proteinopathies

Aggregate, Volume 7, Issue 2, February 2026.
Protein aggregation drives diverse degenerative diseases, yet its molecular origins are difficult to predict. SKALE uses interpretable machine learning to link sequence, structure, and dynamics, revealing how local structural weakening triggers aggregation.
Wei Xuan Wilson Loo, Jia Shen Sio, Keyin Yap, Yan Shan Loo, Hui Xuan Lim, Shuangyue Zhang, Huitao Liu, Chen Seng Ng   +7 more
wiley   +1 more source

Advancing the psychometrics of reverse-keyed items: enriching cognitive theory by a logical and linguistic perspective. [PDF]

Front Psychol
Elek D, Cígler H, Grüning DJ, Ježek S.   +3 more
europepmc   +1 more source

High‐Resolution Regional Seismic Loss Assessment of Reinforced Concrete Bridges Using Component‐Level Fragility Models and Repair Cost Estimations

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 2, Page 301-318, February 2026.
ABSTRACT This study develops a high‐resolution regional seismic loss assessment framework for reinforced concrete (RC) bridges, focusing on direct losses due to bridge repair and replacement. Indirect losses tied to traffic downtime, business disruption, delayed recovery, etc., can also be attributed to bridge damage but are considered outside the ...
Shanshan Chen, Yazhou Xie, Chenhao Wu, Henry V. Burton, Jamie E. Padgett   +4 more
wiley   +1 more source

Limits on the computational expressivity of non-equilibrium biophysical processes. [PDF]

Nat Commun
Floyd C, Dinner AR, Murugan A, Vaikuntanathan S.   +3 more
europepmc   +1 more source

Vaccine Incentives Harm Intrinsic Motivation: Evidence From a Priming Experiment

Health Economics, Volume 35, Issue 2, Page 312-331, February 2026.
ABSTRACT Monetary incentives for vaccination may undermine intrinsic motivation, but evidence on this effect remains scarce. We conducted an experiment among 513 vaccine‐hesitant adults to test whether priming individuals with a monetary incentive reduces their willingness to vaccinate against COVID‐19.
Johnny Huynh, Corey Jacinto, James Huynh
wiley   +1 more source