Results 201 to 210 of about 22,224 (271)

Inequalities in COVID-19 impact on preschool mental health in India: key moderators of adverse outcome. [PDF]

BMJ Public Health
Sharp H, Wright N, Bozicevic L, Supraja TA, Pickles A, Hill J, Chandra PS.   +6 more
europepmc   +1 more source

Industry and society 42/74. 26 November 1974. X/653/74-E [PDF]

, 1974

core  

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source

Disparities in access to health and support services for people with disability in Australia: a scoping review of the structural social determinants. [PDF]

BMC Health Serv Res
Bobo FT, Hollier J, Yen I, Chang KJ, Smith-Merry J.   +4 more
europepmc   +1 more source

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

Advanced Intelligent Systems, EarlyView.
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza, Bruno José Olivieri de Souza, Markus Endler   +2 more
wiley   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Unemployment and Personal Income Loss After Traumatic Brain Injury.

JAMA Surg
Malhotra AK, Jaffe RH, Shakil H, Mathieu F, Nathens AB, Kulkarni AV, Diep C, Yuan EY, Ladha KS, Coyte PC, Wilson JR, Wodchis WP, Witiw CD.   +12 more
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

The Macroeconomic COnsequences of Wage Indexation Revisited [PDF]

Esteban Jadresic, Fernando Lefort, Klaus Schmidt-Hebbel, Klaus Schmidt-Hebbel (Series Editor), Norman Loayza (Series Editor)   +4 more
core  

Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates

Advanced Intelligent Systems, EarlyView.
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin, Rudolf M. Füchslin, Achille Giacometti, Helmut Hauser, Marco Werner   +4 more
wiley   +1 more source