Results 91 to 100 of about 4,508,028 (302)

Regulations of the Virginia Military Institute, 1905

, 1905
Regulations for the Corps of Cadets of the Virginia Military Institute. These regulations governed all aspects of cadet life.
Virginia Military Institute
core  

Skills for multiagency responses to international crises [PDF]

, 2015
Overview Australian responses to international, complex emergencies and humanitarian crises, generated by natural disaster, conflicts or incidents, demand the coordinated responses of multiple civil-military-police actors and agencies.
Australian Civil-Military Centre
core  

SOX30 Facilitates Triple‐Negative Breast Cancer Metastasis via TNFR2–NF‐κB Signaling and Tumor Microenvironment Remodeling

Advanced Science, EarlyView.
SOX30 drives triple‐negative breast cancer (TNBC) metastasis through a dual mechanism: direct activation of the TNFR2/NF‐κB signaling cascade and subsequent CCL20‐mediated recruitment of tumor‐associated macrophages (TAMs) into the tumor microenvironment.
Pingping Gao, Na Sun, Ning Yang, Tingting Zhao, Rui Fu, Zhenyu Wu, Yuqin Zhou, Xuanni Tan, Yi Zhang, Fei Han, Xiaowei Qi   +10 more
wiley   +1 more source

Brian Quisenberry Interview

, 2006
Capt. Brian Quisenberry graduated from the Virginia Military Institute in 1981 and commissioned in the United States Navy.
Quisenberry, Brian L.
core  

Fumarate Hydratase Lactylation Exacerbates Traumatic Brain Injury Pathology via Mitochondrial Dysfunction and Neuroinflammation

Advanced Science, EarlyView.
Tian et al. reveal that FH K112 lactylation is elevated after TBI, leading to fumarate accumulation, mitochondrial damage, mtDNA release and amplified neuroinflammation. AARS2 and SIRT3 act as the “writer” and “eraser” for FH K112 lactylation. The peptide Pep‐K112 targeting this site alleviates brain injury, highlighting a potential therapeutic target.
Yang Tian, Shuoyao Ma, Bo Yang, Fei Gao, Hao Guo, Haixiao Liu, Xun Wu, Wenxing Cui, Jingyu Dong, Qian Lin, Yufeng Ge, Jin Ma, Jiazhen Zhao, Yongzhi Zhang, Dongzhi Xue, Jiaxin Tian, Ziwen Zhang, Kai Wang, Meng Xu, Dayun Feng, Jinpeng Zhou, Yan Qu   +21 more
wiley   +1 more source

Refinement of machine learning arterial waveform models for predicting blood loss in canines

Frontiers in Artificial Intelligence
IntroductionHemorrhage remains a leading cause of death in civilian and military trauma. Hemorrhages also extend to military working dogs, who can experience injuries similar to those of the humans they work alongside.
Jose M. Gonzalez, Thomas H. Edwards, Thomas H. Edwards, Guillaume L. Hoareau, Guillaume L. Hoareau, Guillaume L. Hoareau, Eric J. Snider   +6 more
doaj   +1 more source

Matrix Rigidity Mechanoprimes Microglia for Inflammation Through Cytoskeletal‐to‐Nuclear Signaling and 3D Spatio‐Epigenomic Remodeling

Advanced Science, EarlyView.
Pathological tissue rigidity mechanoprimes microglia by enhancing actin cytoskeleton–nucleus coupling and chromatin opening at rigidity‐responsive cis‐regulatory elements (mechanoCREs). Subsequent NF‐κB/p65 signaling converges on this permissive regulatory state to amplify inflammatory gene expression and microglial activation.
Yu Xuan Meng, Jaegeon Joo, Yu Meng Li, Cheng Ji Li, Ali Taghizadeh, Seung Jae Shin, Buuvee Bayarkhangai, Tae‐Woo Ha, Sak Lee, Jaewoo Chung, Bo‐Eun Yoon, Hye Sung Kim, Inkyung Jung, Jung‐Hwan Lee, Kam W. Leong, Hae‐Won Kim   +15 more
wiley   +1 more source

Dilemmas in Military Medical Ethics: A Call for Conceptual Clarity

BioéthiqueOnline, 2015
Despite the increase in and evolving nature of armed conflicts, the ethical issues faced by military physicians working in such contexts are still rarely examined in the bioethics literature.
Rochon, Christiane
doaj  

Observations from the Korean War for Modern Military Medicine. [PDF]

Uisahak, 2023
Bricknell MC.
europepmc   +1 more source

A Real‐Data‐Driven Framework for Evaluating Differential Transcript Usage Methods Across Long‐Read Bulk, Single‐Cell, and Spatial Transcriptomics

Advanced Science, EarlyView.
Grounded in real biological RNA‐seq data, the framework benchmarks ten differential transcript usage (DTU) methods across short‐read bulk, long‐read bulk, long‐read single‐cell, and long‐read spatial transcriptomics. By integrating reference transcript sets with ranked DTU results, the Transcript Set Enrichment Score (TSES) identifies data‐type ...
Chenxing Zhang, Jun Liu, Qi Zhao, Huilong Yin, Angang Yang, Minhua Zheng, Rui Zhang   +6 more
wiley   +1 more source