Results 61 to 70 of about 189,729 (300)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Exploring the relationships between psychological variables and loot box engagement, part 1: pre-registered hypotheses

open access: yesRoyal Society Open Science, 2023
Loot boxes are purchasable randomized rewards in video games that share structural and psychological similarities with gambling. Systematic review evidence has established reproducible associations between loot box purchasing and both problem gambling ...
James Close   +9 more
doaj   +1 more source

International gaming: comparative survey research on digital gaming [PDF]

open access: yes, 2011
Computer and console gaming has become a major entertainment sector around the globe. Still, the diffusion rates and the general acceptance of gaming vary between countries.
Chen, Vivian   +7 more
core   +1 more source

A Smart Magnetically Actuated Flip‐Disc Programmable Metasurface with Ultralow Power Consumption for Real‐Time Channel Control

open access: yesAdvanced Functional Materials, EarlyView.
The study proposes a 1‐bit programmable metasurface based on flip‐disc display, named flip‐disc metasurface (FD‐MTS). This new design enables ultralow energy consumption while maintaining coding patterns. It also exhibits high scalability and multifunctional flexibility.
Jiang Han Bao   +8 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

Complexity of the game domination problem

open access: yesTheoretical Computer Science, 2016
14 pages, 3 ...
Brešar, Boštjan   +4 more
openaire   +3 more sources

Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications

open access: yesAdvanced Materials, EarlyView.
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu   +10 more
wiley   +1 more source

A Cross-Lagged Study of Developmental Trajectories of Video Game Engagement, Addiction, and Mental Health

open access: yesFrontiers in Psychology, 2018
Objectives: Video game addiction has been associated with an array of mental health variables. There is a paucity of longitudinal studies investigating such associations, and studies differentiating addicted gaming from problem and engaged (i.e ...
Elfrid Krossbakken   +6 more
doaj   +1 more source

Gambling and gaming during COVID-19: The role of mental health and social motives in gambling and gaming problems

open access: yesComprehensive Psychiatry, 2022
Background: The uncertain and stressful global situation caused by the COVID-19 pandemic has the potential to cause anxiety and impact people's mental health.
Iina Savolainen   +3 more
doaj   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

open access: yesAdvanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy