Results 111 to 120 of about 8,471,988 (352)

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

Molecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici, Soheil Akbari, Ceyda Caliskan, Canan Celiker, Ozden Oz, Leman Binokay, Gökhan Karakulah, Serif Senturk, Esra Erdal   +8 more
wiley   +1 more source

A review of AI vision technology for identifying unsafe behaviors of underground miners

Meikuang Anquan
The unsafe behavior of underground miners is one of the main factors leading to mine safety accidents, and real-time, accurate identification and early warning of such behaviors are critical for improving mine safety management.
Qinxia HAO, Haolong ZHEN
doaj   +1 more source

Behavior Recognition and Monitoring System for Office Workers Using Deep Learning and Two Surveillance Cameras

, 2023
Atsushi Ogino, Masahiro Tanaka
openalex   +2 more sources

A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression

Molecular Oncology, EarlyView.
Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak, Bodee Nutho, Worawat Wattanathana, Narumon Phaonakrop, Bunnatut Panasawatwong, Katharina Erlenbach‐Wuensch, Sittiruk Roytrakul, Regine Schneider‐Stock, Pithi Chanvorachote   +8 more
wiley   +1 more source

Towards a Universal Security Framework for Darknet Suppression: Conceptual Foundations and Future Prospects

工程科学与技术
Significance In recent years, anonymous networks and their underlying darknet have become vital tools for transmitting sensitive information, conducting cyberattacks, and engaging in cybercrime due to their strong concealment, high anonymity, and ...
Cheng HUANG, Jianwei DING, Jiapeng ZHAO, Zhouguo CHEN, Jinqiao SHI   +4 more
doaj  

Multi‐Feature Learning‐Based Automatic Recognition of Non‐Normative Seafarer Behaviours to Promote Maritime Traffic Safety

IET Intelligent Transport Systems
In maritime navigation, seafarers' non‐normative behaviours can significantly increase the likelihood of maritime accidents and lead to substantial losses.
Mengwei Bao, Chenjie Zhao, Nian Liu, Ryan Wen Liu   +3 more
doaj   +1 more source

A Lightweight Framework for Pilot Pose Estimation and Behavior Recognition with Integrated Safety Assessment

Aerospace
With the rapid advancement of aviation technology, modern aircraft cockpits are evolving toward high automation and intelligence, making pilot-cockpit interaction a critical factor influencing flight safety and efficiency.
Honglan Wu, Xin Lu, Youchao Sun, Hao Liu
doaj   +1 more source

Human behavior recognition based on sparse transformer with channel attention mechanism [PDF]

, 2023
Keyan Cao, Mingrui Wang
openalex   +1 more source

Feasibility of a ctDNA multigenic panel for non‐small‐cell lung cancer early detection and disease surveillance

Molecular Oncology, EarlyView.
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande, Marcela de Oliveira Silva, Mariana Bisarro dos Reis, Rodrigo de Oliveira Cavagna, Luciane Sussuchi, Icaro Alves Pinto, Natalia Zampieri Pontes, Rodrigo Sampaio Chiarantano, Flavio Augusto Ferreira da Silva, Pedro de Marchi, Letícia Ferro Leal, Rui M. Reis   +11 more
wiley   +1 more source

Research on Video Behavior Detection and Analysis Model for Sow Estrus Cycle Based on Deep Learning

Agriculture
Against the backdrop of precision livestock farming, sow behavior analysis holds significant theoretical and practical value. Traditional production methods face challenges such as low production efficiency, high labor intensity, and increased disease ...
Kaidong Lei, Bugao Li, Shan Zhong, Hua Yang, Hao Wang, Xiangfang Tang, Benhai Xiong   +6 more
doaj   +1 more source