Results 61 to 70 of about 288,093 (186)
Myosin relaxation states in skeletal muscle fibers of rats and mice: Effects of sex and adiposity
Physiological Reports, Volume 13, Issue 7, April 2025.Sex, and less‐so adiposity, affects the relaxed state of myosin in rodent skeletal muscle. Abstract Myosin disordered‐ and super‐relaxed states (DRX and SRX, respectively) in skeletal muscle fibers are hypothesized to play key roles in thermogenesis and basal metabolic energy expenditure, raising potential for novel therapeutic targets for obesity and ...
Zachery A. Roloff +13 more
wiley +1 more source
Cost-sensitive C4.5 with post-pruning and competition [PDF]
arXiv, 2012 Decision tree is an effective classification approach in data mining and machine learning. In applications, test costs and misclassification costs should be considered while inducing decision trees. Recently, some cost-sensitive learning algorithms based on ID3 such as CS-ID3, IDX, \lambda-ID3 have been proposed to deal with the issue. These algorithms
arxiv
Molecular Oncology, Volume 19, Issue 3, Page 698-715, March 2025.This study presents a glioblastoma‐cerebral organoid assembloid (GCOA) model to investigate tumor cell invasion. The GCOA integrates patient‐derived GBM tumoroids with cerebral organoids, enabling real‐time 3D imaging of tumor cell behavior, intercellular interactions, and gene expression differences between invading and non‐invading tumor cells ...
Jieun Kim +16 more
wiley +1 more source
Advances in Materials Science and Engineering, 2021 The detection of various cracks on pavement surfaces has drawn more and more attention from pavement maintenance engineers. In the traditional pavement image segmentation, due to the small area of the pavement cracks, the gray level of crack pixels only ...
Haihang Han +5 more
doaj +1 more source
A New Method for Classification of Datasets for Data Mining [PDF]
arXiv, 2016 Decision tree is an important method for both induction research and data mining, which is mainly used for model classification and prediction. ID3 algorithm is the most widely used algorithm in the decision tree so far. In this paper, the shortcoming of ID3's inclining to choose attributes with many values is discussed, and then a new decision tree ...
arxiv
Advanced Science, Volume 12, Issue 12, March 27, 2025.Pseudomonas fluorescens 2P24 utilizes a LasI/LasR‐type quorum sensing (QS) system, MupI/MupR, to regulate carbon and nitrogen metabolism for optimal production of secondary metabolites as public goods, including 2,4‐diacetylphloroglucinol, mupirocin, and siderophores.
Jie Li +11 more
wiley +1 more source
Induction of Decision Trees based on Generalized Graph Queries [PDF]
arXiv, 2017 Usually, decision tree induction algorithms are limited to work with non relational data. Given a record, they do not take into account other objects attributes even though they can provide valuable information for the learning task. In this paper we present GGQ-ID3, a multi-relational decision tree learning algorithm that uses Generalized Graph ...
arxiv
Intelligent Mining Method of Enterprise Management Information Based on ID3 Decision Tree Algorithm [PDF]
, 2022 Ying Liu +3 more
openalex +1 more source
Glia, Volume 73, Issue 3, Page 539-573, March 2025.Main Point Graphical overview of the literature summarized in this review, spanning glia cells and levels of omics analysis present on Alzheimer's disease. ABSTRACT Alzheimer's disease (AD) is the most common neurodegenerative dementia with multi‐layered complexity in its molecular etiology.
Özkan İş +5 more
wiley +1 more source
Water Resources Research, Volume 61, Issue 3, March 2025.Abstract This study presents an innovative approach to risk‐aware decision‐making in water resource management. We focus on a case study in the Netherlands, where risk awareness is key to water system design and policy‐making. Recognizing the limitations of deterministic methods in the face of weather, energy system, and market uncertainties, we ...
Ties van der Heijden +4 more
wiley +1 more source