Results 211 to 220 of about 42,720 (290)

Comparative Analysis of Model‐Agnostic Explanation Methods in Materials Science

Advanced Intelligent Systems, EarlyView.
To address the critical lack of explainable artificial intelligence (XAI) benchmarks in materials science, we present a quantitative and qualitative analysis of six XAI methods applied to molecular fingerprints. Our results reveal significant discrepancies in feature importance rankings, demonstrating that the chosen explanation approach introduces ...
Anna Przybyłowska, Joanna Neubauer, Monika Sztuder, Witold Taisner, Agnieszka Hryniewicka, Julia Kolodziejczyk, Marta Eliza Plonska‐Brzezinska, Dariusz Brzezinski   +7 more
wiley   +1 more source

Disinformation, Psychosocial Vulnerability, and Media Trust in the Digital Era: Implications for Health Behaviour and Societal Resilience. [PDF]

Healthcare (Basel)
Alves Ferreira JM, Giannouli V, Tukaiev S.   +2 more
europepmc   +1 more source

Bayesian Optimization–Reinforcement Learning Hybrid Framework for a‐IGZO Thin‐Film Transistor Compact Model Parameter Extraction in 2T0C Dynamic Random Access Memory Applications

Advanced Intelligent Systems, EarlyView.
A training‐free two‐stage BO–RL framework extracts compact model parameters for a‐IGZO TFTs, reaching BO‐level fitting quality at a constant per‐simulation optimization cost. Bayesian optimization performs exploration and provides an optimized starting point.
Seunghyun Son, Taejun Ha, Taeyoung Nam, Yoonyoung Chung, Sunmean Kim   +4 more
wiley   +1 more source

Understandings of ultra-processed foods among adults with responsibility for household food activities in the United Kingdom: a qualitative study. [PDF]

BMC Glob Public Health
Essman M, Parnham JC, Chang K, Etkind M, Shah P, Smith D, Vasiljevic M, Boyland E, Cummins S, Vamos EP, White M, Adams J.   +11 more
europepmc   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Beyond Algorithms: Preserving the Human Core of Palliative Care in the Age of Artificial Intelligence. [PDF]

Indian J Palliat Care
Ramanjulu R, Thota RS.
europepmc   +1 more source

Crease‐Encoded Soft Origami Chambers: A Unified Design‐to‐Fabrication Framework for Low‐Pressure Pneumatic Joints

Advanced Intelligent Systems, EarlyView.
Origami turns a single silicone chamber into three different soft fluidic actuators. Crease angles alone decide whether it elongates, bends, or twists, and the fully folded chambers are cast monolithically in one day. Below 15 kPa, they reach 268% axial stretch, 72° bending, and 55° twist—no strain‐limiting layers, no rigid reinforcements, no vacuum ...
Alexia Le Gall, Mattia Franchi de’ Cavalieri, Gastone Ciuti, Arianna Menciassi, Matteo Cianchetti   +4 more
wiley   +1 more source

WHO prequalification of medicines at 25: Celebrating a unique achievement in a changing landscape. [PDF]

Br J Clin Pharmacol
Lehnert R, Mbaeliachi N, Rägo L.
europepmc   +1 more source

Responsible Artificial Intelligence in Courts: A Four‐Test Framework

AI &Innovation, EarlyView.
ABSTRACT A structured framework for responsible AI applications relating to judicial decision‐making and the adjudicative functions of courts requires the satisfaction of multiple context‐specific safeguards. This article proposes a four‐test framework designed to evaluate whether AI systems used in courts operate in accordance with legal, procedural ...
Kwan Yiu Cheng
wiley   +1 more source

How does the Kids SIPsmartER program impact the sugar‐sweetened beverage intake of students: An investigation beyond total treatment effect in randomized controlled trial

American Journal of Agricultural Economics, EarlyView.
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin, Wen You, Annie Reid, Kathleen Porter, Brittany Kirkpatrick, Jamie Zoellner   +5 more
wiley   +1 more source