Results 41 to 50 of about 2,771,485 (258)
Inspired by conventional cell therapy and emerging bioengineering approaches, the tissue‐engineered nigrostriatal pathway (TE‐NSP) has an anatomically‐inspired design comprising a population of human dopaminergic neurons with unidirectional, long‐projecting axon tracts.
Wisberty J. Gordián‐Vélez +8 more
wiley +1 more source
When evaluating the slope reliability with small failure probability considering the spatial variability of parameters, the traditional reliability analysis methods are often time-consuming or difficult to solve.
DENG Zhiping 1, ZHONG Min 1, PAN Min 1, 2, ZHENG Kehong 1, NIU Jingtai 1, JIANG Shuihua 2
doaj +1 more source
We present elastomeric three‐dimensional (3D) microstructures fabricated via two‐photon polymerization (2PP) and post‐processed through wet etching, for quantifying nanonewton (nN)‐scale forces applied by healthy and diseased neural cells. The mechanically characterized free‐standing beam architectures enable measurement of traction forces of ...
Pieter F. J. van Altena +7 more
wiley +1 more source
Isometric Sliced Inverse Regression for Nonlinear Manifolds Learning [PDF]
Sliced inverse regression (SIR) was developed to find effective linear dimension-reduction directions for exploring the intrinsic structure of the high-dimensional data.
Yao, Wei-ting; Wu, Han-ming
core +1 more source
Anti‐PD‐1/PD‐L1 blockade has revolutionized cancer immunotherapy, but is ineffective against endocrine‐treated (i.e., Tamoxifen), relapsed ER+ breast cancer (BC) patients. This study provides insight into the sub‐optimal response of ER+BCs to anti‐PD‐1/PD‐L1 blockade – highlighting the induction of STING and the CEACAM1/TIM3 axis after chronic ...
Marvin Angelo E Aberin +20 more
wiley +1 more source
Fused sliced inverse regression in survival analysis
Sufficient dimension reduction (SDR) replaces original p-dimensional predictors to a lower-dimensional linearly transformed predictor. The sliced inverse regression (SIR) has the longest and most popular history of SDR methodologies.
유재근
core +1 more source
An investigation of sliced inverse regression with censored data. [PDF]
The complexity of high-dimensional data creates a number of concerns when trying to analyze it. This data often consists of a response or survival time and potentially thousands of predictors.
Riggs, Daniel W.
core +1 more source
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Sparse sufficient dimension reduction for directional regression
Sufficient dimension reduction has emerged as a powerful tool for extracting meaningful information within high dimensional datasets over the past few decades.
Gayun Kwon, Gijeong Noh, Kyongwon Kim
doaj +1 more source
enphysoft/inverse-linear-regression:
This site includes MATLAB source codes, used to generate paired data sets, studied at Albert S. Kim, Inverse Sampling of Degenerate Datasets from a Linear Regression Line, arXiv:2108.11477 [stat.ME], https://arxiv.org/abs/2108 ...
Albert S. Kim
core +1 more source

