Results 61 to 70 of about 44,662 (277)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced 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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Peer, family, and teacher relationships and adolescent internet gaming addiction: Mediating roles of social interaction and emotional needs

Acta Psychologica
Background: Internet gaming addiction is a growing behavioral concern among adolescents. Methods: We conducted a questionnaire survey with a randomly selected sample of 1017 adolescents.
Haiming Wang, Wei Zhang
doaj   +1 more source

The conceptualisation and measurement of DSM-5 Internet Gaming Disorder: the development of the IGD-20 Test [PDF]

, 2014
Background: Over the last decade, there has been growing concern about ‘gaming addiction’ and its widely documented detrimental impacts on a minority of individuals that play excessively. The latest (fifth) edition of the American Psychiatric Association’
AG Glaros, AL Comrey, AN Joinson, D Gentile, D King, DG Altman, DG Altman, DJ Kuss, DP Crowne, F Rehbein, H Cole, Halley M. Pontes, J Suler, JP Charlton, JP Charlton, JS Lemmens, KS Young, LT Hu, Mark D. Griffiths, MD Griffiths, MD Griffiths, MD Griffiths, MD Griffiths, MD Griffiths, MD Griffiths, MD Griffiths, NJ Thomas, Orsolya Király, R Wood, RA Tejeiro Salguero, SM Grüsser, TM Haladyna, Yijun Liu, Z Demetrovics, Z Hussain, Zsolt Demetrovics   +35 more
core   +5 more sources

Internet Game Addiction

Community Based Medical Journal, 2017
Abstract not available CBMJ 2017 January: Vol. 06 No.
openaire   +2 more sources

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

How common is Internet Gaming Addiction among Undergraduates of Health Sciences Programs Active on Social Media in Karachi? A Cross-Sectional Survey

Journal of the Dow University of Health Sciences, 2023
Objective: This study aimed to assess the frequency of internet gaming addiction among undergraduate medical students of Karachi, its effect on their academic performance, and their overall health status.
Zaeema Ahmer, Ashir Shafique, Abdul Haseeb, Rubab Mazhar, Laiba Khan, Furqan Ahmed   +5 more
doaj   +2 more sources

The mediating effect of self-esteem, depression and anxiety between satisfaction with body appearance and problematic Internet use [PDF]

, 2013
Background and objectives: Given that dissatisfaction with bodily appearance can sometimes lead to the avoidance of personal contacts and the increase of internet use, this study examines this relationship.
Demetrovics, Z, Griffiths, MD, Koronczai, B, Kun, B, Kökönyei, G, Nagygyörgy, K, Pápay, O, Urbán, R   +7 more
core   +1 more source

Newest Findings On Gaming Addiction Treatment [PDF]

Journal of Education, Health and Sport, 2018
Golebiowska Maria, Golebiowska Beata. Newest findings on gaming addiction treatment. Journal of Education, Health and Sport. 2018;8(8):112-122. eISNN 2391-8306. DOI http://dx.doi.org/10.5281/zenodo.1298732 http://ojs.ukw.edu.pl/index.php/johs/article/view/5608 https://pbn.nauka.gov.pl/sedno-webapp/works/868645 The journal has had 7 ...
Maria Golebiowska, Beata Golebiowska
openaire   +3 more sources

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

Advanced 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, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Prevalence of smartphone addiction and its relation with psychological distress and internet gaming disorder among medical college students

Frontiers in Public Health
BackgroundThe incidence of smartphone addiction has been widely studied, but the research on the relationship between smartphone addiction and psychological distress and internet gaming disorder is limited. This study investigated the characteristics and
Ming Zhang, Ming Zhang, Chenru Chi, Qingwei Liu, Yuhao Zhang, Xiubin Tao, Huan Liu, Bin Xuan   +7 more
doaj   +1 more source