Results 91 to 100 of about 47,670 (256)

Identification of T:B Cell Multimers After Bispecific T Cell Engagement, Using Both Conventional and Imaging Flow Cytometry

Cytometry Part A, EarlyView.
ABSTRACT Bispecific T cell engagers bring together T cells with malignant B cell targets to enable synapse formation and disease eradication of hematological malignancies. The proportion of T cells and their ability to bind to their targets varies between patients and may be a biomarker of response.
Joanne E. Davis, Mandy Ludford‐Menting, Helena Peng, Darryl N. Johnson, David S. Ritchie, Rachel Koldej   +5 more
wiley   +1 more source

Prediction of Pedestrian Crossing Behavior Based on Surveillance Video. [PDF]

Sensors (Basel), 2022
Zhou X, Ren H, Zhang T, Mou X, He Y, Chan CY.   +5 more
europepmc   +1 more source

Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview

Deep Underground Science and Engineering, EarlyView.
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi, Danial Jahed Armaghani, Hossein Afrazi, Hadi Fattahi, Pijush Samui   +4 more
wiley   +1 more source

NSD-SSD: A Novel Real-Time Ship Detector Based on Convolutional Neural Network in Surveillance Video. [PDF]

Comput Intell Neurosci, 2021
Sun J, Xu Z, Liang S.
europepmc   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Abnormal motion pattern detection in video sequences by an unsupervised approach

Engineering and Applied Science Research, 2021
Identifying anomalous motion behavior in video sequences is a challenging task. Manual annotation of a large number of surveillance videos is time-consuming because of the limited human brain's visual attention.
Himal Acharya, Basanta Joshi
doaj  

Deep learning-based bird eye view social distancing monitoring using surveillance video for curbing the COVID-19 spread. [PDF]

Neural Comput Appl, 2021
Magoo R, Singh H, Jindal N, Hooda N, Rana PS.   +4 more
europepmc   +1 more source

Eating Disorders in Boys and Men: A Gender‐Critical Narrative Review on Recognition, Stigma, and Treatment

International Journal of Eating Disorders, EarlyView.
ABSTRACT In this narrative review, I highlight diversity‐related developments in eating disorder (ED) research, situate my own program of work on adult men within the broader literature on boys and men, and focus on risk factors, symptoms, diagnosis, and treatment in boys and men.
Georgios Paslakis
wiley   +1 more source

Tick‐Tock, the Time Has Come: Leveraging TikTok to Understand, Prevent, and Treat Eating Disorders

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective TikTok—a highly engaging social media platform with a powerful algorithm that displays short videos—has become massively popular in recent years. As research highlights the concerning relationship between image‐based content on social media and disordered eating symptoms, TikTok may serve as an optimal platform to understand eating ...
Macarena Kruger, Isabella Pruscino, Caroline G. Martin, Elizabeth A. Velkoff   +3 more
wiley   +1 more source

TikTok and Eating Disorders: A Narrative Review

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective TikTok has rapidly become one of the world's most influential social media platforms, distinguished by its algorithmically personalized video feed. Its design prioritizes continuous, engagement‐optimized content delivery, raising questions about how such environments may shape eating disorder risk, symptom maintenance, and recovery ...
Scott Griffiths, Sami Hondrogiannis, Noa Brittain   +2 more
wiley   +1 more source