Results 291 to 300 of about 3,381,889 (354)

Deciphering the explanatory potential of blood pressure variables on post-operative length of stay through hierarchical clustering: A retrospective monocentric study. [PDF]

PLoS One
Cartailler J, Beaucote V, Trillat B, Gayat E, Le Guen M, Vallee A, Fischler M.   +6 more
europepmc   +1 more source

Microbial Contribution to Soiling and Its Impact on Photovoltaic Module Soiling in Arid Zones of the Atacama Desert

Advanced Sustainable Systems, EarlyView.
Microorganisms colonizing photovoltaic surfaces in the Atacama desert form biofilms that enhance particle adhesion and reduce energy yield. This study identifies UV‐resistant bacteria and carotenoid‐producing strains that interfere with PV performance.
Douglas Olivares, Ricardo Ortíz, Luis Rojas‐Araya, María Teresa Mata, Felipe Galleguillos, Jaime Llanos, Carlos Portillo, Valentina Escobar, Aitor Marzo   +8 more
wiley   +1 more source

Hierarchical Clustering Applied to Chronic Pain Drawings Identifies Undiagnosed Fibromyalgia: Implications for Busy Clinical Practice. [PDF]

J Pain
Alter BJ, Moses M, DeSensi R, O'Connell B, Bernstein C, McDermott S, Jeong JH, Wasan AD.   +7 more
europepmc   +1 more source

Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes

Advanced Science, EarlyView.
This study explores genome‐wide by lifetime environment interactions on brain imaging phenotypes. Gene‐environment interactions explain more phenotypic variance than main effects, pinpoint regulatory variants, and reveal exposure‐specific biological pathways.
Sijia Wang, Meiyun Wang, Peng Zhang, Jingliang Cheng, Longjiang Zhang, Wenzhen Zhu, Shijun Qiu, Zuojun Geng, Guangbin Cui, Yongqiang Yu, Weihua Liao, Xi‐Nian Zuo, Hui Zhang, Bo Gao, Xiaojun Xu, Tong Han, Zhenwei Yao, Quan Zhang, Feng Liu, Qiang Xu, Jiayuan Xu, Jilian Fu, Nana Liu, Yuan Ji, Jie Tang, Lining Guo, Mengge Liu, Xiaoxiao Xiao, Xiaoxuan Liu, Wei Li, Caihong Wang, Wei Wei, Dapeng Shi, Su Lui, Zhihan Yan, Feng Chen, Jing Zhang, Wen Shen, Yanwei Miao, Dawei Wang, Jia‐Hong Gao, Yunjun Yang, Kai Xu, Junfang Xian, Bing Zhang, Xiaochu Zhang, Zhaoxiang Ye, Le Yu, Wen Qin, Meng Liang, Chunshui Yu, the CHIMGEN Consortium   +51 more
wiley   +1 more source

Identification of key biomarkers for early warning of diabetic retinopathy using BP neural network algorithm and hierarchical clustering analysis. [PDF]

Sci Rep
Li P, Wang H, Tian G, Fan Z.
europepmc   +1 more source

IL1R2 Marks and Sorts a Spermatogonial Stem Cell Population Critical for Restoring Spermatogenesis Upon Interruption in Mammals

Advanced Science, EarlyView.
Spermatogonial stem cells (SSCs) provide critical support to spermatogenesis. Here, the author established Il1r2 as a sorting marker for SSCs, with which further insights into the SSC heterogeneity and dynamic features can be obtained. They also confirmed findings in both mouse and human, thus validating IL1R2 as the surface marker for isolating and ...
Pengyu Li, Zexuan Zhang, Zihan Xie, Cheng Jin, Zhipeng Wang, Changwei Yuan, Jun Zhu, Jielin Tang, Mengzhen Li, Dingfeng Zou, Xinyu Mang, Jun Liu, Dingyao Chen, Qi Geng, Yan Lu, Ning Zhang, Shiying Miao, Jing Peng, Kai Li, Wei Song   +19 more
wiley   +1 more source

Circular RNA PTPN4 Contributes to Blood‐Brain Barrier Disruption during Early Epileptogenesis

Advanced Science, EarlyView.
Epileptic condition induces CircPTPN4 upregulation, which promotes ECE‐1 expression through competitive sequestration of miR‐145a‐5p. The elevated ECE‐1 catalyzes the ET‐1 production, leading to p38/MAPK pathway activation and subsequent downregulation of tight junction protein expression. This cascade results in increased BBB permeability and enhanced
Jiurong Yang, Yang Hu, Feiyu Wang, Xintao Peng, Honggang Qi, Yuanyuan Yao, Canyu Zhang, Lijie Zhou, Xuemei Liang, Kang Xu, Cong Zhang, Aifeng Zhang, Chen Chen, Yu Zeng, Chenchen Zhang, Guangming Gan, Xinjian Zhu   +16 more
wiley   +1 more source

Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects

Advanced Science, EarlyView.
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su, Jian Qin, Hui Shen, Ling‐Li Zeng, Baojuan Li, Jin Liu, Xuemei Song, Li Liu, Weidan Pu, Tongjian Bai, Huaning Wang, Hong Yin, Kai Wang, Lingjiang Li, Dewen Hu   +14 more
wiley   +1 more source

Retraction notice to "Hierarchical clustering identifies oxidative stress-related subgroups for the prediction of prognosis and immune microenvironment in gastric cancer" [HLY 9 (2022) e20804]. [PDF]

Heliyon
Zhu M, Zhang N, Ma J.
europepmc   +1 more source

Figure 1. Heatmap visualization of stage-specific metabolite remodeling during date fruit development (Hababouk, Kimri, Rutab, Tamr). (A) Lipids; (B) Organic acids; (C) Bioactive other compound; Color scale represents normalized abundance (Z-scores), with red indicating higher and blue indicating lower relative concentrations. Hierarchical clustering highlights stage-specific grouping patterns across metabolites.

Barathikannan, Kaliyan
openalex   +1 more source