Results 41 to 50 of about 326,273 (311)
The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes
FEBS Letters, EarlyView.Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga +3 more
wiley +1 more source
Application of support vector regression in circle detection
Journal of Hebei University of Science and Technology, 2018 Circle detection is one of the most basic and important tasks in machine vision. In order to accurately determine the circle location in complex background images, a new joint algorithm that combines the model of support vector regression with the three ...
Guanmao WU, Linggang CHEN, Qianqian WANG
doaj +1 more source
Generator Fault Diagnosis with Bit-Coding Support Vector Regression Algorithm
Energies, 2023 Generator fault diagnosis has a great impact on power networks. With the coupling effects, some uncertain factors, and all the complexities of generator design, fault diagnosis is difficult using any theoretical analysis or mathematical model. This paper
Whei-Min Lin
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The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Support Vector Regression-based Multivariate Lesion Symptom Mapping
Frontiers in Psychology, 2015 The voxel-based lesion symptom mapping (VLSM) provides a statistical framework for brain function localization through identifying the lesioned foci responsive for the associated functional impairment of the assessed patients (Bates et al., 2003).
Ze Wang, Ze Wang
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Nonstationary regression with support vector machines [PDF]
Neural Computing and Applications, 2014 In this work, we introduce a method for data analysis in nonstationary environments: time-adaptive support vector regression (TA-SVR). The proposed approach extends a previous development that was limited to classification problems. Focusing our study on time series applications, we show that TA-SVR can improve the accuracy of several aspects of ...
Guillermo L. Grinblat +3 more
openaire +2 more sources
Minimum enclosing spheres formulations for support vector ordinal regression [PDF]
, 2006 We present two new support vector approaches for ordinal regression. These approaches find the concentric spheres with minimum volume that contain most of the training samples.
S.K. Shevade +3 more
core +1 more source
Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
Prediction of Compressive Strength Using Support Vector Regression
Mendel, 2019 At the design stage of a structure, the members of adequate dimension and strength is provided. But with passage of time, the strength of the members reduces gradually due to exposure to environmental conditions and unexpected loadings other than for ...
Goutham J Sai, Vijay Pal Singh
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Response modeling with support vector regression [PDF]
Expert Systems with Applications, 2008 Response modeling has become a key factor to direct marketing. In general, there are two stages in response modeling. The first stage is to identify respondents from a customer database while the second stage is to estimate purchase amounts of the respondents.
Dongil Kim, Hyoungjoo Lee, Sungzoon Cho
openaire +1 more source