Results 111 to 120 of about 111,969 (307)

Mitochondrial Calcium Uniporter Drives Chemoresistance in Pancreatic Cancer via Glutathione‐Mediated Stemness Maintenance

Advanced Science, EarlyView.
PDAC has a poor prognosis due to chemoresistance. We revealed that MCU upregulation is associated with chemoresistance and stemness in PDAC. MCU‐mediated Ca2+ influx induced ER stress, activating the PERK‐ATF4/NRF2 axis to enhance PSAT1/SLC711 expression and glutathione synthesis, reducing ROS and maintaining stemness.
Zekun Li, Chenyang Meng, Guangcong Shen, Yueying Shan, Junjin Wang, Diliyaer Abudukeremu, Rui Zhao, Bo Ni, Chao Xu, Xiaofan Guo, Jun Yu, Kaiyuan Wang, Shengyu Yang, YunZhan Li, Yongjie Xie, Tianxing Zhou, Jihui Hao, Xiuchao Wang   +17 more
wiley   +1 more source

Fast estimation of Kendall's Tau and conditional Kendall's Tau matrices under structural assumptions

Dependence Modeling
Kendall’s tau and conditional Kendall’s tau matrices are multivariate (conditional) dependence measures between the components of a random vector. For large dimensions, available estimators are computationally expensive and can be improved by averaging ...
van der Spek Rutger, Derumigny Alexis
doaj   +1 more source

Testing and modelling autoregressive conditional heteroskedasticity of streamflow processes [PDF]

Nonlinear Processes in Geophysics, 2005
Conventional streamflow models operate under the assumption of constant variance or season-dependent variances (e.g. ARMA (AutoRegressive Moving Average) models for deseasonalized streamflow series and PARMA (Periodic AutoRegressive Moving Average ...
W. Wang, W. Wang, P. H. A. J. M Van Gelder, J. K. Vrijling, J. Ma   +4 more
doaj  

Data‐Driven Fatigue Prediction of Superalloys: A Novel Strategy Integrating Transfer Learning and Partial Label Learning for Addressing Ambiguous Data

Advanced Science, EarlyView.
A novel machine learning strategy tackles ambiguous compositional data to predict superalloy fatigue. By integrating partial label with transfer learning and enriching features through thermodynamic calculations, this approach achieves superior accuracy and interpretability.
Haopeng Lv, Jiawei Yin, Dayong Wu, Ziyuan Rao, Chao Su, Jie Kang, Qian Wang, Haikun Ma, Huicong Dong, Yandong Wang, Ru Su   +10 more
wiley   +1 more source

Bias in the Estimation of Non-Linear Transformations of the Conditional Variance of Returns

, 2003
Richard Harris, Cherif Guermat
openalex   +1 more source

Efficient estimation of conditional variance functions in stochastic regression [PDF]

, 1998
Jianqing Fan
openalex   +1 more source

Dysfunctional TRIM31 of POMC Neurons Provokes Hypothalamic Injury and Peripheral Metabolic Disorder under Long‐Term Fine Particulate Matter Exposure

Advanced Science, EarlyView.
Particulate matter ≤2.5 µm (PM2.5) elevates risks of neurological and chronic metabolic diseases, but the underlying mechanisms linking PM2.5‐induced central nervous system (CNS) injury to metabolic dysfunction remain unclear. Hypothalamic pro‐opiomelanocortin‐expressing (POMC+) neurons regulate systemic metabolic homeostasis, and tripartite motif ...
Chenxu Ge, Jiamao Lin, Changsheng Yang, Chuanwang Miao, Fengxiang Li, Shuqiang Zhao, Lei Zou, Xuedong Teng, Lina Liu, Tingguang Li, Yan Sun, Qiang Li, Deshuai Lou, Linfeng Hu, Xi Liu, Gang Kuang, Jing Luo, Minxuan Xu, Minghui Chang, Jun Tan, Yanrong Ren, Bochu Wang   +21 more
wiley   +1 more source

Taurocholic Acid Is Associated With Disturbed Functional Connectivity in the Hippocampus of Patients With Depression

Advanced Science, EarlyView.
This study identifies elevated taurocholic acid (TCA) in Major Depressive Disorder patients. Gut microbiome‐associated TCA impairs hippocampal neurogenesis, triggers microglia activation, and elicits depression‐like behavior in mice via the S1PR2. In patients, functional neuroimaging reveals that serum TCA levels correlate with altered functional ...
Xiaoying Cai, Taipeng Sun, Mengzhen Feng, Gang Chen, Junchi Zhou, Hong Zhuang, Dan Wang, Ying Chen, Zhen Cheng, Zhi Xu, Xiao Zheng, Xueli Zhang, Yonggui Yuan   +12 more
wiley   +1 more source

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

Advanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li   +27 more
wiley   +1 more source

RANGE RESTRICTION ASSUMPTIONS ASSUMING QUADRATIC CONDITIONAL VARIANCES [PDF]

, 1973
Robert F. Boldt
openalex   +1 more source