Results 31 to 40 of about 2,456 (245)
Personality Predictors of Cyber-Victimization and Cyber-Bullying in Adolescence
The article presents an empirical study of personality predictors of cyber-victimization and cyber-bullying in adolescence. There is a shortage of domestic (Russian) studies of individual psychological predictors of both cyber victimization ...
A.A. Vikhman
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The main goal of the present study was to analyze the psychometric properties of the revised version of the Adolescent Cyber-Victimization Scale (CYBVICS). This scale is composed of 18 items that assess direct and indirect cyber-victimization.
Sofía Buelga +3 more
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Parental mediation of technology use is proposed to protect against the risk of cyber victimization and the associated negative consequences. Although the buffering effects of parental mediation of technology use are currently being investigated, little ...
Michelle F. Wright
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Researchers have focused on identifying factors which might reduce the negative consequences associated with cyber victimization. One prominent factor receiving attention is the role of parental mediation in adolescents’ digital technology usage, and how
Michelle F. Wright
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The purpose of this study was to explain tendency toward drug addiction in adolescents based on the cyberbullying victimization and psychological dysregulation.
Seyed Ghasem Seyed Hashemi +6 more
doaj +1 more source
Background Traditional bullying victimization and the growing number of cyber-teasing victims during the last decade is a major public health concern.
Francisco Caravaca Sánchez +5 more
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Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
Analysis of Risk Factors and Stimulating Reasons in the Phenomenon of Cyber Victimization [PDF]
Due to the popularity of mobile phones and the internet, as well as the development of electronic devices and various software, numerous benefits and facilities have emerged.
Elham Shafaiimoghadam +2 more
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This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source

