Results 151 to 160 of about 924,331 (302)
Estimation of Large-Dimensional Covariance Matrices via Second-Order Stein-Type Regularization. [PDF]
Zhang B, Huang H, Chen J.
europepmc +1 more source
Multimodal Layer‐Crossing Interrogation of Brain Circuits Enabled by Microfluidic Axialtrodes
The study introduces a flexible microfluidic axialtrode that integrates optical, electrical, and chemical modalities within a single polymer fiber. By redistributing electrodes and fluidic channels along the fiber axis via angled cleaving, it enables simultaneous optogenetic stimulation, electrophysiological recording, and drug delivery across brain ...
Kunyang Sui +8 more
wiley +1 more source
Comparison of BLUPs under multiple partitioned linear model and its correctly-reduced models
In this study, we investigate the relations between a multiple partitioned linear model and its correctly-reduced models. We consider the comparison problem of covariance matrices of the best linear unbiased predictors (BLUPs) of all unknown vectors ...
Nesrin Güler, Melek Eriş Büyükkaya
doaj +1 more source
Accounting for variability among individual pigs in deterministic growth models
Inclusion of variation in deterministic nutritional models for growth by repeating simulations using different sets of parameters has been performed in literature without or with only hypothetic consideration of the covariance structure among parameters.
B. Vautier +3 more
doaj +1 more source
This study firstly presents a comprehensive and high‐resolution pan‐3D genome resource in chicken. Our findings reveal the role of structural variations in 3D genome architectures, and how they influence the domestication process and production traits at the 3D genome level.
Zhen Zhou +19 more
wiley +1 more source
The spectrum of covariance matrices of randomly connected recurrent neuronal networks with linear dynamics. [PDF]
Hu Y, Sompolinsky H.
europepmc +1 more source
This is an expository paper that reviews recent developments on optimal estimation of structured high-dimensional covariance and precision matrices.
T. Cai, Zhao Ren, Harrison H. Zhou
semanticscholar +1 more source
This study introduces stVGP, a variational spatial Gaussian process framework for multi‐modal, multi‐slice spatial transcriptomics. By integrating histological and genomic data through hybrid alignment and attention‐based fusion, stVGP reconstructs coherent 3D functional landscapes.
Zedong Wang +3 more
wiley +1 more source
This paper aims at achieving real-time optimal speed estimation for an induction motor using the Extended Kalman filter (EKF). Speed estimation is essential for fault diagnosis in Motor Current Signature Analysis (MCSA).
Ines Miloud +4 more
doaj +1 more source
Rapid Design and Fabrication of Body Conformable Surfaces with Kirigami Cutting and Machine Learning
By integrating the principles of kirigami cutting and data‐driven modeling, this study aims to develop a personalized, rapid, and low‐cost design and fabrication pipeline for creating body‐conformable surfaces around the knee joint. This pipeline presents a balanced trade‐off between conformability performance and cost for personalizing wearables, thus
Jyotshna Bali +3 more
wiley +1 more source

