Results 141 to 150 of about 91,294 (309)

Targeting UXS1‐Dependent Glucuronate Detoxification Potentiates Metformin's Anti‐Tumor Efficacy in Lung Adenocarcinoma

Advanced Science, EarlyView.
This study reveals that metformin promotes glucuronic acid metabolism in lung adenocarcinoma by activating UGDH S476 phosphorylation and enhancing the conversion of UDPG to UDPGA based on metabolomics analysis. Through compound virtual screening, it is found that plantainoside targeting UGDH downstream UXS1 leads to UDPGA toxicity accumulation ...
Qihai Sui, Zhencong Chen, Guangyao Shan, Zhengyang Hu, Xing Jin, Jiaqi Liang, Yanjun Yi, Jiacheng Yin, Haochun Shi, Xifei Jiang, Junjie Xi, Zongwu Lin, Cheng Zhan, Fenghao Sun, Wei Jiang   +14 more
wiley   +1 more source

Electroacupuncture Improves the Learning and Memory by Modulating Hippocampal Glucose Metabolism through IGF1/IGF1R Signaling in Alzheimer's Disease

Advanced Science, EarlyView.
Electroacupuncture (EA) ameliorates learning and memory function in 5×FAD mice by regulating the brain glucose metabolic network. This neuroprotective effect is closely related to enhancing neuronal energy utilization via the IGF1/IGF1R signaling pathway.
Shengxiang Liang, Qingqing Zhang, Xiuxiu Wang, Lixin Peng, Xinru Ji, Jiawei Wang, Yusi Zhang, Jiayang Huang, Junchao Yang, Shiqi Zhan, Yiping Xiao, Weilin Liu, Lidian Chen   +12 more
wiley   +1 more source

Heavy-Tailed NGG-Mixture Models

Bayesian Analysis
Heavy tails are often found in practice, and yet they are an Achilles heel of a variety of mainstream random probability measures such as the Dirichlet process (DP). The first contribution of this paper focuses on characterizing the tails of the so-called normalized generalized gamma (NGG) process. We show that the right tail of an NGG process is heavy-
Palacios Ramírez Vianey, de Carvalho Miguel, Gutiérrez Luis   +2 more
openaire   +4 more sources

Inference for the Tail Parameters of a Linear Process with Heavy Tail Innovations

Linear processes, heavy tailed distribution, tail parameters, tail probability,
Somnath Datta, William McCormick
core   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

An M-estimator of multivariate tail dependence.

AN M-ESTIMATOR OF TAIL DEPENDENCE. Extreme value theory is the part of probability and statistics that provides the theoretical background for modeling events that almost never happen.
Krajina, A.
core  

Heavy Metal Spatial Variation Mechanism and Ecological Health Risk Assessment in Volcanic Island Soils: A Case Study of Weizhou Island, China

Land
Heavy metals in volcanic island soils are key for assessing pollution risks and guiding environmental management strategies. However, research on heavy metals in volcanic island soils remains limited. In this study, the concentrations of heavy metals (Cu,
Ran Bi, Wei Fu, Xuanni Fu
doaj   +1 more source

Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement

Advanced Science, EarlyView.
The temperature‐induced Arrhenius activation energy switching phenomenon of electrical conduction in electrically conductive cement originates from structural degradation within the biphasic ionic‐electronic conduction architecture and shows percolation‐governed characteristics: pore network opening dominates the low‐percolation regime with downward ...
Jiacheng Zhang, Xinyuan Ke, Andrew Heath, Richard J. Ball, Jiawei Xie, Jinchen Fan, Guisheng Li, Kevin Paine   +7 more
wiley   +1 more source

Unbiased Tail Estimation by an Extension of the Generalized Pareto Distribution

AMS classifications: 62G20; 62G32;bias;exchange rate;heavy tails;peaks-over-threshold;regular variation;tail ...
Segers, J., Beirlant, J., Joossens, E.
core  

Asymptotic and bootstrap inference for inequality and poverty measures [PDF]

A random sample drawn from a population would appear to offer an ideal opportunity to use the bootstrap in order to perform accurate inference, since the observations of the sample are IID.
Russell Davidson, Emmanuel Flachaire
core