Results 111 to 120 of about 179,891 (293)

Gambling and older adults: there is no safe bet! [PDF]

open access: yesGeriatrics, Gerontology and Aging
This article aims to alert geriatricians and gerontologists about the risks of gambling among older adults. Although institutionalized gambling has existed in Brazil since the golden age of casinos, despite being a recreational activity not everyone ...
Cecília Galetti, Hermano Tavares
doaj   +1 more source

Mathematical models of games of chance: Epistemological taxonomy and potential in problem-gambling research [PDF]

open access: yes, 2015
Games of chance are developed in their physical consumer-ready form on the basis of mathematical models, which stand as the premises of their existence and represent their physical processes.
Barboianu, Catalin
core   +3 more sources

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee   +7 more
wiley   +1 more source

The Social Impact of Casinos: Literature Review and Cost Estimates [PDF]

open access: yes, 2010
This research discusses the social impacts of casinos. The most direct impacts are those associated with increases in gambling problems, which are double for a person living within 50 miles of a casino. We estimate that when a casino is built in Columbus,

core  

Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining

open access: yesAdvanced Intelligent Systems, EarlyView.
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson   +3 more
wiley   +1 more source

Gender Differences in Problem Gamblers in an Online Gambling Setting

open access: yesPsychology Research and Behavior Management, 2020
Anders Håkansson,1,2 Carolina Widinghoff1,2 1Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Psychiatry, Lund, Sweden; 2Malmö Addiction Center, Region Skåne, Malmö, SwedenCorrespondence: Anders Hå ...
Håkansson A, Widinghoff C
doaj  

Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis

open access: yesAdvanced Intelligent Systems, EarlyView.
A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang   +3 more
wiley   +1 more source

Post-COVID gambling habits of adolescents and young adults in Aragon, Spain: a cross-sectional study

open access: yesBMC Public Health
Background Gambling has become increasingly normalized in Spain, with 49.3% of the population participating and high engagement among youth, particularly online.
Alberto Barceló-Soler   +8 more
doaj   +1 more source

Adolescent gambling in Great Britain [PDF]

open access: yes, 2008
This article briefly overviews some of the latest research into adolescent gambling and looks at the recent 2005 Gambling Act in relation to adolescent gambling measures. The new Gambling Act came into force on 1 September 2007, and replaces existing law
Griffiths, MD
core  

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

open access: yesAdvanced 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   +2 more
wiley   +1 more source

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