Results 201 to 210 of about 107,324 (260)

Pemt Inhibition‐Mediated Vdac1 Oligomerization Regulates Mitochondrial Dysfunction, Apoptosis, and Inflammation in High‐Fat Diet‐Derived Liver Injury

open access: yesAdvanced Science, EarlyView.
ABSTRACT High‐fat diet (HFD)‐induced hepatic injury represents a pathology observed across vertebrates, yet the underlying mechanisms remain incompletely understood. Herein, the present study identifies phosphatidylethanolamine methyltransferase (Pemt), a key enzyme in phosphatidylcholine synthesis, as a critical regulator of mitochondrial homeostasis ...
Xianyong Bu   +11 more
wiley   +1 more source

A Novel Machine Learning Approach for Predicting Prognosis of SFTS Patients in the Early Stages of Disease. [PDF]

open access: yesCan J Infect Dis Med Microbiol
Li S   +8 more
europepmc   +1 more source

Hypervigilance and kinesiophobia characterize distinct exploratory data-driven profiles of temporomandibular disorders. [PDF]

open access: yesSci Rep
Archer AB   +13 more
europepmc   +1 more source

Prediction of massive intraoperative blood transfusion requirement in lung transplantation. [PDF]

open access: yesFront Med (Lausanne)
Tao X   +10 more
europepmc   +1 more source

Correction to “Time‐of‐Flight Secondary Ion Mass Spectrometry‐Partial Least Square Regression for Quantifying Interleukin‐8 in Biopolymer Matrices”

open access: yesAdvanced NanoBiomed Research
Ralf Zimmermann   +4 more
doaj   +1 more source

Contemporary Treatment Responses of Recurrent Focal Segmental Glomerulosclerosis or Steroid Resistant Nephrotic Syndrome in Children after Kidney Transplantation: Phase 2 of a Multicenter Electronic Health Record Data Analysis

open access: yes
Dharnidharka VR   +23 more
europepmc   +1 more source

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

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