Article
Communication
Lichen Zhen
Summary: This article examines how Chinese netizens use discourse on GitHub to fight for labor rights and expand their influence. A critical discourse analysis of comments on GitHub reveals the creation of a unique identity in digital space and the seeking of support in the context of Chinese government crackdown on dissenting opinions.
INTERNATIONAL JOURNAL OF COMMUNICATION
(2021)
Article
Engineering, Multidisciplinary
Qing Zhao, Xiangjuan Yao, Xiangying Dang, Dunwei Gong
Summary: This paper proposes a method based on a probability propagation model to effectively and quickly identify the most influential users in the open source software community. The method takes into account the interaction behavior among users by quantifying user feedback on projects and establishing a new probability propagation model between users.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Communication
Eileen Le Han
Summary: This study examines online collaborative memory projects on GitHub that started during China's battle against the initially unknown coronavirus in early 2020. These projects collect stories from Chinese social media, news outlets, and official websites. The research shows that GitHub enables a collaborative and centralized workflow for archiving and curation, and each project presents unique methods for preserving COVID-19 memories. The study also analyzes three significant events - the Wuhan lockdown, the death of the whistleblowing doctor, and the controversy surrounding Fang Fang's diaries - to demonstrate how these memory projects can challenge the officially sanctioned version of 'correct' collective memory.
INFORMATION COMMUNICATION & SOCIETY
(2023)
Article
Computer Science, Information Systems
Wingyan Chung, Vincent S. Lai
Summary: Social media networks are increasingly used for professional management, but the factors affecting behavioral trends and activity levels are not well understood. This research developed a temporal graph framework and theory-based, data-driven models to capture various aspects of user behavior in social media networks. Experimental results showed that the model capturing recency/primacy effects outperformed others in predicting engagement, contribution, influence, and popularity in social media networks.
INFORMATION & MANAGEMENT
(2023)
Article
Environmental Sciences
Ross Gillette, Michelle Dias, Michael P. Reilly, Lindsay M. Thompson, Norma J. Castillo, Erin L. Vasquez, David Crews, Andrea C. Gore
Summary: This study investigates the impact of environmental endocrine-disrupting chemicals (EDCs) on social behaviors, revealing that ancestrally exposed individuals are affected while directly exposed individuals are not. The effects of EDCs vary based on sex and lineage.
Review
Physics, Multidisciplinary
Dmitri Denisov, Costas Vellidis
Summary: The Tevatron collider played a crucial role in advancing particle physics, particularly in the study of the standard model and beyond. This review article provides an overview of the design and performance of the Tevatron collider, as well as its significant scientific discoveries.
REPORTS ON PROGRESS IN PHYSICS
(2022)
Article
Business
Vladimir Melnyk, Francois A. Carrillat, Valentyna Melnyk
Summary: Social norms have an impact on consumer behavior, especially on disapproved behaviors. The effect of social norms on consumer behavior is stable across time and cultures for approved behaviors, but has grown stronger for disapproved behaviors, particularly in survival and traditional cultures.
JOURNAL OF MARKETING
(2022)
Article
Communication
Anthony McCosker
Summary: This article explores the potential of social learning with deepfakes by proposing an AI and data literacy framework, and identifies potential sites and methods for intervention in their production cultures. Through an analysis of popular GitHub repositories and YouTube accounts teaching deepfake techniques, the study finds new ways to address AI and data harms.
NEW MEDIA & SOCIETY
(2022)
Article
Biochemistry & Molecular Biology
Yuguang Zhao, William Mahy, Nicky J. Willis, Hannah L. Woodward, David Steadman, Elliott D. Bayle, Benjamin N. Atkinson, James Sipthorp, Luca Vecchia, Reinis R. Ruza, Karl Harlos, Fiona Jeganathan, Stefan Constantinou, Artur Costa, Svend Kjaer, Magda Bictash, Patricia C. Salinas, Paul Whiting, Jean-Paul Vincent, Paul Fish, E. Yvonne Jones
Summary: Notum is a promising target for treating osteoporosis, Alzheimer's disease, and colorectal cancer. Through fragment screening and optimization, researchers have obtained a series of potential Notum inhibitors.
ACS CHEMICAL NEUROSCIENCE
(2022)
Article
Biochemical Research Methods
Tengbo Zhang, Yaxu Li, Yanrong Yang, Linjun Weng, Zhiqiang Wu, Jiali Zhu, Jieling Qin, Qi Liu, Ping Wang
Summary: CRISPR/Cas9 technology is widely used in the study of genome function, and iCRISEE is an integrative analysis method that reduces false positive results.
BRIEFINGS IN BIOINFORMATICS
(2022)
Editorial Material
Optics
Jiazheng Qin, Mengjia Wang, Cheng-Wei Qiu
Summary: By controlling graphene, it has become easier to access and track exceptional points.
LIGHT-SCIENCE & APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Akash Pooransingh, Dylan Dhoray
Summary: This paper examines the uniqueness of different genres in mainstream music and the potential merging of acoustic characteristics over time. The study found that Hip Hop and Pop maintained distinctiveness over a period of time, while Rock, Country, and R&B began to share similar acoustic features in recent years. Further analysis attempts to predict the trends in acoustic nature of genres.
Article
Health Care Sciences & Services
Michael Robert Haupt, Qing Xu, Joshua Yang, Mingxiang Cai, Tim K. Mackey
Summary: The study explores how the alternative tobacco industry uses Facebook to mobilize online users to influence tobacco control policy outcomes in California. Results show that industry employees are more likely to engage and be influential in these networks. Comparisons between local and national advocacy groups reveal different levels of engagement and online activity during legislative events, indicating strategic online engagement to influence policy outcomes.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Computer Science, Software Engineering
Patrick Diehl, Steven R. Brandt
Summary: This study introduces an approach to teaching C++ programming to noncomputer science majors. It utilizes the C(++)Explorer tool for interactive code development, GitHub Classroom for remote communication and feedback, and a Telegram(R) bot for mobile communication with the server. The findings suggest that this approach is effective and has the potential for further improvement.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2023)
Article
Thermodynamics
Bing Hou, Qixing Zhang, Xing Liu, Huiwen Pang, Yue Zeng
Summary: In this study, a drilling platform in the Changning region of the Sichuan Basin, China, was affected by frac hits. The 3D discrete complex fracture network was reconstructed using microseismic events, and the interaction and connectivity of hydraulic fracture networks between wells were quantitatively evaluated. The research findings showed that frac hits during fracturing operations could significantly impact the occurrence frequency, moment magnitude, and spatial distribution of microseismic events.