Results 51 to 60 of about 8,471,988 (352)

YOLOv8n_BT: Research on Classroom Learning Behavior Recognition Algorithm Based on Improved YOLOv8n

IEEE Access
Classroom learning behavior recognition can provide effective technical support for teaching and learning. However, in natural classroom teaching scenarios, classroom learning behaviors are often missed or falsely detected due to character occlusion and ...
Qingtang Liu, Ruyi Jiang, Qi Xu, Deng Wang, Zhiqiang Sang, Xinyu Jiang, Linjing Wu   +6 more
semanticscholar   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

Student Behavior Recognition in Classroom Based on Deep Learning

Applied Sciences
With the widespread application of information technology in education, the real-time detection of student behavior in the classroom has become a key issue in improving teaching quality.
Qingzheng Jia, Jialiang He
semanticscholar   +1 more source

An abnormal driving behavior recognition algorithm based on the temporal convolutional network and soft thresholding

International Journal of Intelligent Systems, 2022
Most traffic accidents are caused by bad driving habits. Online monitoring of the abnormal driving behaviors of drivers can help reduce traffic accidents.
Yunyun Zhao, Hongwei Jia, Haiyong Luo, Fang Zhao, Yanjun Qin, Yueyue Wang   +5 more
semanticscholar   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Reducing childhood mortality extends mothers’ lives

Scientific Reports
During the twentieth century, childhood mortality was dramatically reduced globally, falling by more than 90% in the United States and much of Europe.
Matthew N. Zipple
doaj   +1 more source

Cow Behavior Recognition Based on Wearable Nose Rings

Animals
This study introduces a novel device designed to monitor dairy cow behavior, with a particular focus on feeding, rumination, and other behaviors. This study investigates the association between the cow behaviors and acceleration data collected using a ...
Wenhan Feng, Daoerji Fan, Huijuan Wu, Wenqiang Yuan   +3 more
doaj   +1 more source

Dynamic Serpentine Convolution with Attention Mechanism Enhancement for Beef Cattle Behavior Recognition

Animals
Simple Summary Through beef cattle behavior recognition technology, livestock farmers can promptly identify abnormal behaviors in beef cattle, providing data and technological support for intelligent and welfare-oriented cattle farming.
Guangbo Li, Guolong Shi, Changjie Zhu
semanticscholar   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

An IoT-Platform-Based Deep Learning System for Human Behavior Recognition in Smart City Monitoring Using the Berkeley MHAD Datasets

Syst., 2022
Internet of Things (IoT) technology has been rapidly developing and has been well utilized in the field of smart city monitoring. The IoT offers new opportunities for cities to use data remotely for the monitoring, smart management, and control of device
Othman O. Khalifa, A. Roubleh, A.N. Esgiar, Maha S. Abdelhaq, R. Alsaqour, Aisha Abdalla, E. Ali, Rashid A Saeed   +7 more
semanticscholar   +1 more source