Results 81 to 90 of about 23,873 (289)

The development of lameness and bone deformity in the broiler following experimental infection withMycoplasma gallisepticumorMycoplasma synoviae [PDF]

, 1997
Christopher J. Morrow, Janet M. Bradbury, M. J. Gentle, B. H. Thorp   +3 more
openalex   +1 more source

Microglial HVCN1 Deficiency Improves Movement and Survival of SOD1G93A ALS Mice by Enhancing Microglial Migration and Neuroprotection

Advanced Science, EarlyView.
Hydrogen voltage gated channel 1 (HVCN1) is upregulated in microglia of both ALS patients and its mouse model. HVCN1 deficiency enhances microglial migration via suppressing Akt signaling, promotes neurotrophic capacity and motor function, and prolongs survival of the SOD1G93A ALS mice. This study identifies HVCN1 as a novel, promising druggable target
Fan Wang, Ke‐Yu Zhang, Lang‐Jian Zhu, Wei‐Jue Li, Yang Wu, Xiang Gao, Xiao‐Ru Ma, Xiu‐Hua Yin, Jian‐Bin Wu, Xiao‐Kang Ye, Zhao‐Jun Dong, Di‐Xian Wang, Zhe Zhou, Shao‐Dong Wang, Lei Han, Zhi‐Nong Jiang, Jing‐Wei Zhao   +16 more
wiley   +1 more source

Design and Validation of a Computer-Aided Learning Program to Enhance Students' Ability to Recognize Lameness in the Horse [PDF]

, 2013
A. Barstow, Thilo Pfau, David M. Bolt, R. K. W. SMITH, Renate Weller   +4 more
openalex   +1 more source

Modulating Purothionin Accumulation and Signal Peptide Cleavage Fine‐Tunes Wheat Flour Gluten Properties to Improve Cookie‐Making Quality

Advanced Science, EarlyView.
Dual genetic strategies for improving wheat processing quality by regulating purothionin accumulation to modulate gluten quantity and quality. The first strategy involves targeting signal peptide (SP) cleavage sites (e.g., through mutation) to indirectly reduce gluten content, thereby disrupting gluten network formation.
Yijie Liu, Siyuan Chang, Zhaoheng Zhang, Tianqi Kang, Mingde Liu, Yuan Zong, Fei Ni, Yinguang Bao, Ruijie Zhang, Xiaobang Zhang, Jinkun Du, Mingming Xin, Zhaorong Hu, Jie Liu, Zhongfu Ni, Qixin Sun, Yingyin Yao   +16 more
wiley   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

Advanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi, Mohammad Mahdi Hosseini, Ahmadreza Argha, Roxana Zahedi, Nigel H. Lovell, Hamid Alinejad‐Rokny   +5 more
wiley   +1 more source

Effect of Housing on Lameness, Body Condition Score and Udder Health of Sahiwal Dairy Cattle [PDF]

, 2022
Puneet Singh, Swaran Singh, R. S. Singh, Dhiraj Kumar Gupta   +3 more
openalex   +1 more source

CircTspan3 Promotes Cartilage Development Through ANNEXIN A2‐Mediated Ferroptosis and Apoptosis Inhibition and Exosome‐Mediated Paracrine Signaling

Advanced Science, EarlyView.
This study reveals that XBP1s drives production of circTspan3, a circular RNA that strengthens cartilage by boosting anabolic activity and limiting cell death. Phosphorylated ANXA2 directs circTspan3 into exosomes, enabling paracrine repair. Exosomal circTspan3 expands growth‐plate cartilage and promotes in vivo regeneration, highlighting its promise ...
Yiming Pan, Fengmei Zhang, Jiayan Zhong, Qian Gong, Nana Geng, Biao Kuang, Qiumei Lan, Miao Yi, Qiqi Zeng, Cheng Chen, Mengtian Fan, Chunliang Zhao, Deping Zeng, Yu Du, Mao Nie, Zhibiao Wang, Fengjin Guo   +16 more
wiley   +1 more source

Study of lameness incidence in Holstein cows using gait scoring method and its relation with animal production, parity and body condition score

پژوهشهای علوم دامی ایران, 2014
397 Holstein dairy cows were used to determine locomotion score, lameness prevalence and its relationship with age of the animal and body condition score (BCS). Locomotion score was determined using seven gait properties of animal.
Ali Hosseinkhani, Hassan Fazeli, Sadegh Alijani, gholamali moghaddam   +3 more
doaj  

Intelligent Deep Learning and Keypoint Tracking-Based Detection of Lameness in Dairy Cows

Veterinary Sciences
With the ongoing development of computer vision technologies, the automation of lameness detection in dairy cows urgently requires improvement. To address the challenges of detection difficulties and technological limitations, this paper proposes an ...
Zongwei Jia, Yingjie Zhao, Xuanyu Mu, Dongjie Liu, Zhen Wang, Jiangtan Yao, Xuhui Yang   +6 more
doaj   +1 more source

Technical note: A comparison of 2 methods of assessing lameness prevalence in tiestall herds [PDF]

, 2013
Jenny Gibbons, Derek B. Haley, Janet Higginson Cutler, C.G.R. Nash, Jessica Zaffino Heyerhoff, D. Pellerin, Steve Adam, Alain Fournier, Anne Marie de Passillé, J. Rushen, E. Vasseur   +10 more
openalex   +1 more source