Results 61 to 70 of about 8,471,988 (352)

By dawn or dusk—how circadian timing rewrites bacterial infection outcomes

FEBS Letters, EarlyView.
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo, Catherine S. Palmer, Jacqueline M. Kimmey   +2 more
wiley   +1 more source

The role and implications of mammalian cellular circadian entrainment

FEBS Letters, EarlyView.
At their most fundamental level, mammalian circadian rhythms occur inside every individual cell. To tell the correct time, cells must align (or ‘entrain’) their circadian rhythm to the external environment. In this review, we highlight how cells entrain to the major circadian cues of light, feeding and temperature, and the implications this has for our
Priya Crosby
wiley   +1 more source

Student behavior recognition based on multi-view learning via mask RCNN and its application in education management

Journal of Applied Science and Engineering
Behavior recognition technology has a wide range of applications, but only refers to the field of security applications, due to the intrusion of anti-terrorism issues, governments, security departments, enterprise organizations and institutions around ...
Fei Xiao
doaj   +1 more source

Behavior Analysis for Increasing the Efficiency of Human–Robot Collaboration

Machines, 2022
In this study, we proposed a behavior analysis for increasing the efficiency of human–robot collaboration in an assembly task. This study was inspired by previous research, in which a set of operator intentions in assembly was translated into an ...
Hsien-I Lin, Fauzy Satrio Wibowo, Nurani Lathifah, Wen-Hui Chen   +3 more
doaj   +1 more source

Zero-Shot Crowd Behavior Recognition [PDF]

, 2017
Understanding crowd behavior in video is challenging for computer vision. There have been increasing attempts on modeling crowded scenes by introducing ever larger property ontologies (attributes) and annotating ever larger training datasets. However, in contrast to still images, manually annotating video attributes needs to consider spatiotemporal ...
Xu, Xun, Gong, Shaogang, Hospedales, Timothy   +2 more
openaire   +2 more sources

YOLO-DLHS-P: A Lightweight Behavior Recognition Algorithm for Captive Pigs

IEEE Access
To meet the needs of embedded devices for model lightweight and high-precision recognition, this paper proposes a lightweight YOLO-DLHS-P model for pig behavior recognition based on the improved YOLOv8n model. Firstly, the C2f-DRB structure is introduced
Changhua Zhong, Hao Wu, Junzhuo Jiang, Chaowen Zheng, Hong Song   +4 more
semanticscholar   +1 more source

Molecular bases of circadian magnesium rhythms across eukaryotes

FEBS Letters, EarlyView.
Circadian rhythms in intracellular [Mg2+] exist across eukaryotic kingdoms. Central roles for Mg2+ in metabolism suggest that Mg2+ rhythms could regulate daily cellular energy and metabolism. In this Perspective paper, we propose that ancestral prokaryotic transport proteins could be responsible for mediating Mg2+ rhythms and posit a feedback model ...
Helen K. Feord, Gerben van Ooijen
wiley   +1 more source

RDM-YOLO: A Lightweight Multi-Scale Model for Real-Time Behavior Recognition of Fourth Instar Silkworms in Sericulture

Agriculture
Accurate behavioral monitoring of silkworms (Bombyx mori) during the fourth instar development is crucial for enhancing productivity and welfare in sericulture operations.
Jinye Gao, Jun Sun, Xiaohong Wu, Chunxia Dai   +3 more
doaj   +1 more source

A Review of Abnormal Crowd Behavior Recognition Technology Based on Computer Vision

Applied Sciences
Abnormal crowd behavior recognition is one of the research hotspots in computer vision. Its goal is to use computer vision technology and abnormal behavior detection models to accurately perceive, predict, and intervene in potential abnormal behaviors of
Rongyong Zhao, Feng Hua, Bingyu Wei, Cuiling Li, Yulong Ma, Eric S. W. Wong, Fengnian Liu   +6 more
semanticscholar   +1 more source

A Lightweight Attention-Based Network towards Distracted Driving Behavior Recognition

Applied Sciences, 2022
Distracted driving is currently a global issue causing fatal traffic crashes and injuries. Although deep learning has achieved significant success in various fields, it still faces the trade-off between computation cost and overall accuracy in the field ...
Yingcheng Lin, Dingxin Cao, Zanhao Fu, Yanmei Huang, Yanyi Song   +4 more
semanticscholar   +1 more source