Results 231 to 240 of about 544,641 (311)

Retrospective Evaluation of Admission Variables Associated With Outcome in Dogs With Bite Wound Trauma (12,412 cases): An ACVECC-VetCOT Registry Study. [PDF]

J Vet Emerg Crit Care (San Antonio)
Cook ME, Guest KE, Creutzinger ML, Reineke EL, Tinsley A, Hall KE.   +5 more
europepmc   +1 more source

Cancer‐Associated Fibroblast‐Derived Sphingosine‐1‐Phosphate Activates a MALL–SDC4 Axis to Facilitate Perineural Invasion in Pancreatic Cancer

Advanced Science, EarlyView.
CAF‐derived S1P activates the S1PR3‐JNK‐Jun signaling pathway, thereby transcriptionally upregulating MALL expression in cancer cells. MALL increases the cell‐surface abundance of SDC4 by promoting its recycling and restricting its lysosomal degradation, which in turn enhances RhoA‐p‐MLC2‐dependent amoeboid invasion and SDC4‐PTN axis‐mediated cancer ...
Wang Peng, Mengdie Cao, Hai Huang, Shuya Bai, Luyao Liu, Jingwen Liang, Haochen Cui, Qiaodan Zhou, Shiru Chen, Jiamei Jiang, Luoxia Liu, Zhou Luan, Wei Chen, Si Xiong, Ronghua Wang, Bin Cheng, Yuchong Zhao   +16 more
wiley   +1 more source

Blunt Traumatic Isolated Left External Iliac Vein Injury Without Pelvic Fracture. [PDF]

Cureus
Alnuaimi KH, Preethi Asapu PS, Mohamed ME, Jaiganesh T.   +3 more
europepmc   +1 more source

Intrinsic Mechanical Parameters and their Characterization in Solid‐State Lithium Batteries

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
This review focuses on the intrinsic mechanical parameters and their associated characterization in solid‐state batteries. The physical significance of mechanics parameters is introduced with exhaustive classifications by elastic, plastic deformations and fracture in bulk, adhesion, friction at interfaces, and mechanical fatigue in cells ...
Shuai Hao, Qianyi Zhang, Xiangkang Kong, Zhaoxiang Wang, Xue‐Ping Gao, Paul R. Shearing   +5 more
wiley   +1 more source

Oblique Chop: A Novel Hook and Lock Technique for Single Step Nuclear Fracture in Cataract Surgery. [PDF]

Clin Ophthalmol
Om Parkash T, Om Parkash R, Om Parkash S.   +2 more
europepmc   +1 more source

The Role of Extracellular Vesicles MicroRNAs in Sarcopenia: From Aging to Multi‐Morbidity

AGING MEDICINE, EarlyView.
Exosomes transporting miRNAs play a crucial bidirectional regulatory role in the process of sarcopenia, both in natural aging and under various pathological conditions. ABSTRACT Sarcopenia, defined as progressive loss of skeletal muscle mass and function, occurs during aging and has also been recognized for its detrimental effects in various disease ...
Bingyu Huang, Zhao Peng, Lin Kang
wiley   +1 more source

Delayed small bowel obstruction due to blunt abdominal trauma with mesenteric injury: a case report. [PDF]

J Surg Case Rep
Belia F, Schiavone V, Bongiorno G, Taffon C, Costa A, Castagliuolo P, Miacci V, Marrelli M, Costa G.   +8 more
europepmc   +1 more source

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Impact of blunt adrenal gland injury (BAGI) in major trauma: a systematic review and meta-analysis. [PDF]

World J Emerg Surg
Benuzzi L, Cioffi SPB, Granieri S, Panagini G, Altomare M, Spota A, Virdis F, Bini R, Mingoli A, Chiara O, Cimbanassi S.   +10 more
europepmc   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source