Zobrazeno 1 - 10
of 7 048
pro vyhledávání: '"Joya A"'
Autor:
Joya A. Kemper, Paul W. Ballantine
Publikováno v:
Journal of Sustainable Marketing, Pp 1-7 (2023)
Externí odkaz:
https://doaj.org/article/8298182ee6154b0b9c4fd92652005bea
Publikováno v:
International Journal of Qualitative Methods, Vol 23 (2024)
This study protocol discusses the co-design and co-development of a social media health promotion program for young women. The program aims to disseminate evidence-based health information and promote healthy behaviours among young women aged 18–24
Externí odkaz:
https://doaj.org/article/395e300fa1e541fc9b119d96d8b5cf74
Publikováno v:
Digital Health, Vol 9 (2023)
Introduction Innovative health promotion strategies are crucial for enhancing global quality of life and curbing premature deaths. Digital health promotion is particularly impactful for young individuals often using internet-connected devices. Collab
Externí odkaz:
https://doaj.org/article/d73a7e1c3e1549969b28ac98fc395164
The importance of social media in our daily lives has unfortunately led to an increase in the spread of misinformation, political messages and malicious links. One of the most popular ways of carrying out those activities is using automated accounts,
Externí odkaz:
http://arxiv.org/abs/2411.06626
Publikováno v:
JMIR Research Protocols, Vol 11, Iss 10, p e38635 (2022)
BackgroundDigital health interventions, including apps and web-based services, are on the rise due to their facilitated access to target groups. The constant evolution of technology calls for participatory research methodologies to understand youth e
Externí odkaz:
https://doaj.org/article/9ae0db948eb34c31836605ca7bff81b4
Autor:
Apon, Tasnim Sakib, Fahim-Ul-Islam, Md., Rafin, Nafiz Imtiaz, Akter, Joya, Alam, Md. Golam Rabiul
Knee osteoarthritis(KO) is a degenerative joint disease that can cause severe pain and impairment. With increased prevalence, precise diagnosis by medical imaging analytics is crucial for appropriate illness management. This research investigates a c
Externí odkaz:
http://arxiv.org/abs/2410.20062
Autor:
Bai, Zechen, He, Tong, Mei, Haiyang, Wang, Pichao, Gao, Ziteng, Chen, Joya, Liu, Lei, Zhang, Zheng, Shou, Mike Zheng
We introduce VideoLISA, a video-based multimodal large language model designed to tackle the problem of language-instructed reasoning segmentation in videos. Leveraging the reasoning capabilities and world knowledge of large language models, and augm
Externí odkaz:
http://arxiv.org/abs/2409.19603
Autor:
Wu, Shiwei, Chen, Joya, Lin, Kevin Qinghong, Wang, Qimeng, Gao, Yan, Xu, Qianli, Xu, Tong, Hu, Yao, Chen, Enhong, Shou, Mike Zheng
A well-known dilemma in large vision-language models (e.g., GPT-4, LLaVA) is that while increasing the number of vision tokens generally enhances visual understanding, it also significantly raises memory and computational costs, especially in long-te
Externí odkaz:
http://arxiv.org/abs/2408.16730
Publikováno v:
JPhys Materials, Vol 6, Iss 4, p 045011 (2023)
Framework oxide materials are well-known for exhibiting not only negative thermal expansion (NTE), but also demonstrating thermal expansion that can be controlled using composition as a tuning parameter. In this work, we study the intrinsic thermal e
Externí odkaz:
https://doaj.org/article/2b0975ee795a46c8aa614e594f5f3c78
Autor:
Lin, Kevin Qinghong, Zhang, Pengchuan, Gao, Difei, Xia, Xide, Chen, Joya, Gao, Ziteng, Xie, Jinheng, Xiao, Xuhong, Shou, Mike Zheng
Narrative videos, such as movies, pose significant challenges in video understanding due to their rich contexts (characters, dialogues, storylines) and diverse demands (identify who, relationship, and reason). In this paper, we introduce MovieSeq, a
Externí odkaz:
http://arxiv.org/abs/2407.21757