Results 131 to 140 of about 333,475 (312)

RUNX2 Activation in Fibro/Adipogenic Progenitors Promotes Muscle Fibrosis in Muscular Dystrophy

Advanced Science, EarlyView.
This study revealed a novel role of the chemokine‐TGF‐β1‐RUNX2 axis in determining the fate of FAP differentiation and modulating muscle fibrosis in patients and mice with muscular dystrophies. ABSTRACT Clinical evidence indicates concurrent muscle inflammation and fibrosis in muscular dystrophies (MDs); however, the molecular mechanisms underlying ...
Pengkai Wu, Zehua Zhang, Kai Zheng, Ziqi Zhu, Yong Zhu, Abdukahar Kiram, Lei Zhao, Huihui Chen, Zhu Xu, Xihua Li, Beicheng Sun, Zhijian Li, Dengqiu Xu   +12 more
wiley   +1 more source

Bayesian nonparametric statistics: A new toolkit for discovery in cancer research. [PDF]

Pharm Stat, 2017
Thall PF, Mueller P, Xu Y, Guindani M.
europepmc   +1 more source

Nonparametric Moving Average Control Charts Using Sign and Signed-Rank Statistics [PDF]

, 2018
Vilas Yashwant Pawar, D. T. Shirke, S. K. Khilare   +2 more
openalex   +1 more source

Transplantation of GABAergic Interneuron Progenitors Restores Cortical Circuit Function in an Alzheimer's Disease Mouse Model

Advanced Science, EarlyView.
Transplantation of medial ganglionic eminence (MGE) interneuron progenitors into APP/PS1 cortices restored the slow oscillation characteristic of Alzheimer's disease. Donor cells survived, migrated, and matured into functional GABAergic interneurons, forming synaptic connections.
Shinya Yokomizo, Megi Maci, April M. Stafford, Morgan R. Miller, Stephen J. Perle, Shuzo Inagaki, Shusaku Takahashi, Heather Brown‐Harding, Linda Liang, Alex Lovely, Moustafa Algamal, Rebecca L. Gillani, Theodore J. Zwang, Douglas Richardson, Janice R. Naegele, Daniel Vogt, Ksenia V. Kastanenka   +16 more
wiley   +1 more source

Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk

IEEE Access
This paper introduces novel nonparametric supervised learning techniques for classifying massive datasets, addressing key limitations of existing methods in Big and Streaming Data framework. We propose an offline kernel-based classifier enhanced by Batch
Mohamed Chaouch, Omama M. Al-Hamed
doaj   +1 more source

YIELD STABILITY ANALYSIS OF BARLEY MUTANTS USING PARAMETRIC AND NONPARAMETRIC STATISTICS [PDF]

NV TETYANNIKOV
openalex   +1 more source

NAD+‐Dependent Enzyme SIRT3 Limits Intestinal Epithelial Cell Functions Through NAD+ Synthesis Pathway in Colorectal Cancer

Advanced Science, EarlyView.
Microbiota‐derived quinolinic acid is used as an alternative source of replenishing the intracellular NAD+ pool induced by SIRT3 deficiency to regulate intestinal epithelial cell and T cell function, which has implications for targeting intestinal epithelial cells as an approach to the treatment of immune‐associated diseases, including colorectal ...
Ruiying Niu, Yingjie Dong, Jianghui Tong, Jingxuan Xia, Longhao Zhao, Zi Geng, Yingxin Lin, Jinghe Zhang, Xinyi Liu, Manqi Fang, Xi Jin, Yujing Bi, Guangwei Liu   +12 more
wiley   +1 more source

Leadership in Energy and Environmental Design Commercial Interior Version 4 (LEED-CI v4) Gold-Certified Office Space Projects: A Pairwise Comparative Analysis between Three Mediterranean Countries

Buildings
Over the past five years, Leadership in Energy and Environmental Design Commercial Interior version 4 (LEED-CI v4)-certified office projects have been intensively studied in the USA and China, but they have not yet been studied in the Mediterranean ...
Svetlana Pushkar
doaj   +1 more source

Reexamination of Statistical Methods for Comparative Anatomy: Examples of Its Application and Comparisons with Other Parametric and Nonparametric Statistics. [PDF]

Biomed Res Int, 2015
Aversi-Ferreira RA, Nishijo H, Aversi-Ferreira TA.   +2 more
europepmc   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source