Results 231 to 240 of about 5,507,675 (301)

Debate: Standing up for science - how to combat misinformation in child mental health? The imperative to understand and counter mental health misinformation on social media. [PDF]

Child Adolesc Ment Health
Lorenzo-Luaces L, Starvaggi I.
europepmc   +1 more source

Farmers’ Protests in Germany: Media Coverage and Types of Bias

Agribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

Program-Specific Podcasting as a Supplemental Learning Tool for Subspecialty Fellows. [PDF]

Adv Med Educ Pract
Cheng C, Leverone N, Desai B, Mlodzinski E, You AX, Crouch DR, Crotty Alexander LE, Lin E.   +7 more
europepmc   +1 more source

Quality and Reliability of YouTube Videos on Poisonings, Insect Bites, and Envenomations. [PDF]

Healthcare (Basel)
Halici A, Demir B, Özdemir Ç.
europepmc   +1 more source

Instagram Video Engagement in Medical Education: Cross-Sectional Study. [PDF]

JMIR Med Educ
Kemppainen A, Nuutinen H, Koljonen V, Kulmala P.   +3 more
europepmc   +1 more source

Efficient Caching Strategies in NDN-Enabled IoT Networks: Strategies, Constraints, and Future Directions. [PDF]

Sensors (Basel)
Alahmad AA, Mohd Aman AH, Qamar F, Mardini W.   +3 more
europepmc   +1 more source

Video in Chinese short video sharing platforms as a source of information on sleep disorders: A cross-sectional content analysis study. [PDF]

Digit Health
Wang Q, Ma S, Ma D, Wang C, Qi X, Liu S, Zhang L, Xiang R, Zhao D.   +8 more
europepmc   +1 more source

Cross-sectional analysis of the reliability and engagement metrics of YouTube videos on semaglutide for weight loss. [PDF]

Medicine (Baltimore)
Güler Sönmez T, Fidanci İ.
europepmc   +1 more source

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A high‐accurate content popularity prediction computational modeling for mobile edge computing using matrix completion technology

Transactions on Emerging Telecommunications Technologies, 2020
Mobile edge computing (MEC) is envisioned as a promising platform for supporting emerging computation‐intensive applications on capacity and resource constrained mobile devices (MDs).
Jiawei Tan, Wei Liu, Tian Wang, Mingde Zhao, Anfeng Liu, Shaobo Zhang   +5 more
semanticscholar   +1 more source