Results 131 to 140 of about 285,691 (282)

Directional monitoring and diagnosis for covariance matrices. [PDF]

J Appl Stat, 2022
Jing H, Li J, Bai K.
europepmc   +1 more source

Cars2‐Mediated Cysteine Catabolism Drives Brown Fat Development and Thermogenesis Through Persulfidating EBF2

Advanced Science, EarlyView.
We demonstrate that Cars2, a cysteine catabolic enzyme in mouse iBAT, is critical for cold tolerance and brown adipocyte differentiation. Through its CPERS activity, Cars2 produces CysSSH/H2S to induce EBF2 persulfidation, promoting its interaction with PPARγ and BRG1 to enhance thermogenic gene expression.
Xin Peng, Hongyong Song, Yin Long, Kaimin Wu, Yinkun Fu, Wenkai Zhou, Wenyan Li, Zhe Shi, Xu‐Yun Zhao   +8 more
wiley   +1 more source

Marginal inference for hierarchical generalized linear mixed models with patterned covariance matrices using the Laplace approximation. [PDF]

Environmetrics, 2022
Ver Hoef JM, Blagg E, Dumelle M, Dixon PM, Zimmerman DL, Conn PB.   +5 more
europepmc   +1 more source

Design and Optimization of Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces Based on Conditional Multi‐Task Deep Learning

Advanced Science, EarlyView.
A conditional multi‐task deep learning framework is developed for designing and optimizing Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces (FHPEMs). This framework achieves joint spectro‐polarimetric learning and unified forward–inverse design.
Chenjie Gong, Haodong Shi, Qi Wang, Yingchao Li, Hongyu Sun, Jiayu Wang, Guanlin Li, Jian Zhang, Qiang Fu, Huilin Jiang   +9 more
wiley   +1 more source

Corrigendum to: Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices. [PDF]

Genetics, 2022
Wolfe MD, Chan AW, Kulakow P, Rabbi I, Jannink JL.   +4 more
europepmc   +1 more source

A Rational Optimization Approach for the Development of a Multiplexed Lateral Flow Immunoassay: Detection of Nonepithelial Ovarian Cancer Markers in Human Serum

Advanced Science, EarlyView.
This study outlines the developmental pipeline of a multiplexed nanozyme‐based lateral flow immunoassay for the purpose of ovarian germ cell tumor detection. It demonstrates the application of a design of experiments optimization approach for nanozyme probe conjugate development.
Aida Abdelwahed, Carl E. Eskildsen, Luca Panariello, André Shamsabadi, Christy J. Sadler, Edmund H. Wilkes, Federico Galvanin, Yuxi Cheng, Sara Carvalho, Srdjan Saso, Molly M. Stevens   +10 more
wiley   +1 more source

Element Aggregation for Estimation of High-Dimensional Covariance Matrices

Mathematics
This study addresses the challenge of estimating high-dimensional covariance matrices in financial markets, where traditional sparsity assumptions often fail due to the interdependence of stock returns across sectors.
Jingying Yang
doaj   +1 more source

Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices. [PDF]

Genetics, 2021
Wolfe MD, Chan AW, Kulakow P, Rabbi I, Jannink JL.   +4 more
europepmc   +1 more source

Deciphering the Evolution Pattern of Structural Variations Overlapped With Repetitive Sequence During Cattle Evolution

Advanced Science, EarlyView.
The authors complement bovine pan‐SV with massive novel structural variations (SVs) identified through long‐read sequencing of 83 globally distributed cattle breeds. Repetitive sequence‐mediated SVs (rep‐SV) exhibit distinct dynamic patterns throughout cattle sub‐speciation and/or domestication processes, including uneven distribution between chr‐X and
Zhifan Guo, Jinxiu Li, Adeniyi C. Adeola, Xueyan Jiang, Juntao Ma, Jian Xiao, Dexiang Hu, Kaixing Qu, Haihong Wu, Junren Chen, Zhanxing He, Tingting Yin, Ali Esmailizadeh, Jing Luo, Olivier Hanotte, Ya‐Ping Zhang, Yan Li   +16 more
wiley   +1 more source

Improved Test for High-Dimensional Mean Vectors and Covariance Matrices Using Random Projection

Mathematics
This paper proposes an improved random projection-based method for testing high-dimensional two-sample mean vectors and covariance matrices. For mean testing, the proposed approach incorporates training data to guide the construction of projection ...
Tung-Lung Wu
doaj   +1 more source