Results 61 to 70 of about 21,085 (255)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Online Gaming [PDF]

open access: yesAmerican Journal of Applied Sciences, 2005
Kevin Curran   +4 more
openaire   +4 more sources

Neuromorphic Devices and Computing for Sensing, Memory, and Control

open access: yesAdvanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu   +2 more
wiley   +1 more source

Associating Time Devoted to Online Gaming with Subjective Well-being, Emotional States and Affective Schedules

open access: yesJournal of Information and Organizational Sciences
Online gaming is one of the most popular students’ activities associated with various aspects of their experience and behavior. This paper aims to investigate the frequency of online gaming among students and determine the association among the frequency
Damir Vučić   +2 more
doaj   +1 more source

What Really Drives Agri‐Environment‐Climate Measures' Adoption? Mandatory Requirements, Behavioral Traits, and Structural Factors in the CAP Green Architecture

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT To increase farmer adoption of green practices, the EU Common Agricultural Policy includes both mandatory (conditionality) and voluntary instruments (eco‐schemes–ECS– and more demanding, multi‐annual agri‐environment‐climate measures –AECM–). Building on the experiment of Barreiro‐Hurle et al.
L. Sanchez‐Mata   +4 more
wiley   +1 more source

The Relationship between Undergraduate Students’ Online Gaming Motivations, Gaming Addiction, and Online Prosocial Behaviors

open access: yesAddicta: The Turkish Journal on Addictions
This study examined the role of university students’ gaming addictions and online gaming motivations in predicting their online prosocial behaviors. The data collection instruments used in the study were the Personal Information Form, Online Prosocial ...
Muhammed Enes Keskinkılıç   +1 more
doaj   +1 more source

Growth of Omnichannel Grocery Retailing and Food Prices

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper examines the effects of the growth of omnichannel grocery retailing on food prices. We first develop a conceptual model of consumer choice and retailer pricing that allows us to evaluate changes in equilibrium prices, quantities, and profits with online channel growth and alternative pricing strategies.
Xiangwen Kong   +2 more
wiley   +1 more source

The Intersection of Gaming and Terrorism: Exploring the Role of Online Gaming in Terrorist Recruitment Methods | A Intersecção do Jogo e do Terrorismo: Explorando o Papel dos Jogos Online nos Métodos de Recrutamento de Terroristas

open access: yesPolitical Observer
     This paper examines the intersection of online gaming and terrorism, highlighting how terrorist organizations leverage online gaming and mods platforms to recruit and radicalize new members.
Eziho Promise Ogele
doaj   +1 more source

Dysfunctional impulsivity in online gaming addiction and engagement

open access: yesCyberpsychology: Journal of Psychosocial Research on Cyberpspace, 2016
Impulsivity has been shown to be related to both substance- and non-substance addictions. In the case of internet gaming addiction, on one hand, higher impulsivity and sensation seeking have been reported in problematic online gamers.
Lukas Blinka   +2 more
doaj   +1 more source

Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates

open access: yesAdvanced Intelligent Discovery, EarlyView.
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang   +3 more
wiley   +1 more source

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