Results 131 to 140 of about 3,390,517 (303)
Robust Adaptive Beamforming with Optimal Covariance Matrix Estimation in the Presence of Gain-Phase Errors. [PDF]
Sensors (Basel), 2020 Yao D, Zhang X, Hu B, Yang Q, Wu X.
europepmc +1 more source
Drug Repurposing for Treating NCOR‐Related Intellectual Disability
Advanced Science, EarlyView.An autism‐associated NCOR1 heterozygous mutation upregulates NRGs and activates NRG backward signaling in hypothalamic GABAergic neurons in mouse models, leading to Gabra2 downregulation and cognitive deficits, which can be therapeutically targeted by repurposing FDA‐approved drugs.
Yan Kong +15 more
wiley +1 more source
Advanced Science, EarlyView.This study employs a spouse‐pair cohort design and an idopNetwork model that integrates evolutionary game theory, predator‐prey dynamics, and developmental modularity theory to reconstruct maximally informative microbial interaction networks. This approach reveals how interspecies interactions drive the phenotypic plasticity of the gut microbiota in ...
Huizhen Li +15 more
wiley +1 more source
Soil pH Amelioration Synergizes Carbon Accrual with Yield Gains Under Organic Substitution
Advanced Science, EarlyView.Soil pH shifts towards neutrality in both acidic and alkaline soils under organic substitution. A global synthesis links pH amelioration to soil organic carbon accrual through enhanced microbial biomass after accounting for added organic carbon and its interaction with pH. This pH amelioration‐shared soil organic carbon accrual accounts for 5.1–8.6% of
Xunzhuo Dong +7 more
wiley +1 more source
The K-Step Spatial Sign Covariance Matrix [PDF]
The Sign Covariance Matrix is an orthogonal equivariant estimator of mul- tivariate scale. It is often used as an easy-to-compute and highly robust estimator.
Yadine, A., Croux, C., Dehon, C.
core
Advanced Science, EarlyView.A large‐scale multicenter serum metabolomics study (13 centers, n = 2,149) identified a 9‐metabolite + AFP diagnostic signature for liver cancer (AUC = 0.93). Among the signature, nicotinamide (NAM) was validated as an oncometabolite: NAM enhances NAD+ synthesis, activating SIRT1 to deacetylate and stabilize HIF1α, thereby driving glycolysis, MAPK ...
Yongjie Xu +13 more
wiley +1 more source
Estimating High Dimensional Covariance Matrices and its Applications [PDF]
Estimating covariance matrices is an important part of portfolio selection, risk management, and asset pricing. This paper reviews the recent development in estimating high dimensional covariance matrices, where the number of variables can be greater ...
Jushan Bai, Shuzhong Shi
core
Advanced Science, EarlyView.An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang +6 more
wiley +1 more source
Large Covariance Matrix Estimation by Composite Minimization [PDF]
, 2015 The present thesis concerns large covariance matrix estimation via composite minimization under the assumption of low rank plus sparse structure. Existing methods like POET (Principal Orthogonal complEment Thresholding) perform estimation by extracting principal components and then applying a soft thresholding algorithm.
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Application of regularized covariance matrices in logistic regression and portfolio optimization
Scientific ReportsCovariance estimation has widespread applications in various fields such as logistic regression and portfolio optimization. However, in high-dimensional or small-sample scenarios, traditional covariance matrix estimation often encounters the problem of ...
Fang Sun, Xiaoqing Huang
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