Results 241 to 250 of about 91,920 (292)

FASLG Derived from Fibroblasts in Hydroxyapatite‐Rich Microenvironment Induces Urothelial Anoikis to Trigger Randall's Plaque Exposure

Advanced Science, EarlyView.
Randall's plaques (RP) serve as the nidus for calcium oxalate (CaOx) kidney stones. The current study reveals that hydroxyapatite (HAP) crystals activate the THY1–GSK3α/β–β‐catenin axis in renal interstitial fibroblasts (hRIFs), inducing FASLG secretion.
Minghui Liu, Maolan Wu, Meng Gao, Yongchao Li, Miao Yuan, Zhangcheng Liao, Zhi Liu, Yizhou Wang, Yu Cui, Jinbo Chen, Cheng He, Zhiyong Chen, Feng Zeng, Hequn Chen, Zewu Zhu   +14 more
wiley   +1 more source

Recognition of antitussive components in Farfarae Flos based on grey relational analysis and partial least squares regression. [PDF]

Zhong Nan Da Xue Xue Bao Yi Xue Ban
Wu D, Lin X, Liu K, Ning H, Luo W, Zhao G.   +5 more
europepmc   +1 more source

A Chirality‐Converted Bacteriolytic Dodecapeptide Regulates Vibrio‐Induced Polymicrobial Infection and Ameliorates Invasion‐Associated Gut Microbiota Disequilibrium

Advanced Science, EarlyView.
Multidrug‐resistant Vibrio infections are rising rapidly and threaten coastal populations worldwide. This study introduces D‐zp37, a chirality‐engineered antimicrobial peptide with exceptional potency against resistant Vibrio species. D‐zp37 kills planktonic cells, blocks mixed‐species biofilms, disrupts essential bacterial stress responses, and shows ...
Ping Zeng, Qipeng Cheng, Xiaoxu Zhang, Honglan Wang, Jinghan Zhang, Xinyi Ding, Pengfei Zhang, Lanhua Yi, Kwok‐Yin Wong, Kin‐Fai Chan, Sheng Chen, Sharon Shui Yee Leung   +11 more
wiley   +1 more source

A Nanobody‐LNP Platform for Targeting and Relicensing Dendritic Cells for Potent Cancer Immunotherapy

Advanced Science, EarlyView.
Plastin‐2 (PLS2) is identified as a dual‐function receptor on DCs that mediates both nanoparticle uptake and immunomodulation. A nanobody‐LNP platform is engineered to integrate antigen delivery with relicensing DCs. The therapeutic strategy elicits potent anti‐tumor T cell responses and leads to significant inhibition of established tumors in vivo ...
Shugang Qin, Zhiying Huang, Hai Huang, Yupei Zhang, Yuting Chen, Xi He, Zhenyi Niu, Zhongzheng Xiang, Chaoyu Zou, Xiangrong Song   +9 more
wiley   +1 more source

Mechanoadaptation via Myosin Cytoplasmic Redistribution Protects Circulating Tumor Cells From Shear‐induced Death During Hematogenous Dissemination

Advanced Science, EarlyView.
This study investigates how CTCs survive varying shear stress during hematogenous metastasis. We uncover a self‐protection mechanism, by which non‐adherent CTCs adapt to high shearing milieu through accumulated cytoplasmic myosin‐mediated disruption of myosin‐actin binding, attenuating force transmission into chromatin to protect CTCs from shear ...
Cunyu Zhang, Qianchun Wang, Keming Li, Guanshuo Hu, Ying Xin, Kai Tang, Bing Hu, Pengyu Du, Renwei Mao, Baohua Ji, Youhua Tan   +10 more
wiley   +1 more source

Some of the next articles are maybe not open access.

Related searches:

On the structure of partial least squares regression

Communications in Statistics Part B: Simulation and Computation, 1988
We prove that the two algorithms given in the literature for partial least squares regression are equivalent, and use this equivalence to give an explicit formula for the resulting prediction equation. This in turn is used to investigate the regression method from several points of view. Its relation to principal component regression is clearified, and
Inge S Helland
exaly   +2 more sources

Kernel Partial Least-Squares Regression

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006
A couple of regularized least squares regression models in a feature space are extended by the kernel partial least squares (KPLS) regression model in this paper. PLS is a method based on the projection of input (explanatory) variables to the latent variables (components), and has been developed and established as one of the multivariate statistical ...
Bai Yifeng, Xiao Jian, Yu Long
openaire   +1 more source

Partial least squares regression for graph mining

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, 2008
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect informative subgraph patterns for a given learning task. We propose an iterative mining method based on partial least squares regression (PLS).
Hiroto Saigo, Nicole Krämer 0002, Koji Tsuda   +2 more
openaire   +2 more sources

Partial Least Squares Methods: Partial Least Squares Correlation and Partial Least Square Regression

2012
Partial least square (PLS) methods (also sometimes called projection to latent structures) relate the information present in two data tables that collect measurements on the same set of observations. PLS methods proceed by deriving latent variables which are (optimal) linear combinations of the variables of a data table.
Hervé, Abdi, Lynne J, Williams
openaire   +2 more sources

A Reformulation of the Partial Least Squares Regression Algorithm

SIAM Journal on Scientific Computing, 1994
Let \(X = (x_ 1,\dots,x_ k)\), where \(x_ 1,\dots,x_ k\) are \(n\)- dimensional vectors (independent variables). Also available is an associated \(n\)-dimensional vector \(y\) (dependent variable). One of the main aims of linear regression is to predict the values of the dependent variable using a linear combination of the independent variables ...
openaire   +1 more source