Results 101 to 110 of about 474,403 (297)

Tailored Porous Bimetallic Nanozyme Platform for Full‐Cycle Therapeutics of Intestinal Ischemia/Reperfusion

Advanced Science, EarlyView.
ABSTRACT Intestinal ischemia/reperfusion (I/R) injury presents a biphasic pathology: an acute oxidative‐inflammatory phase leading to organ failure, and a recovery phase marked by mucosal dysfunction and bacterial translocation. The developed MPB@TA‐Cu‐Ma nanocomposite functions as a dual‐phase therapeutic platform with significant efficacy. It rapidly
Chenghao Qiu, Wenjing Xian, Mengxue Wang, Guozhi Zhao, Yanhuo Zhang, Zhiyu Zhou, Bo Sheng, Zhuo Zhen, Xie Liu, Shouwen Diao, Mengwei Tu, Chen Qiu, Huixian Wang, Jianbo Zhang, Peng Zhu, Tong Li   +15 more
wiley   +1 more source

An approach to the integral optimization of investment portfolios

Journal of Open Innovation: Technology, Market and Complexity
A comprehensive approach to the optimization of financial portfolios is provided by the Integral Analysis Method (IAM), which comprises four steps: The description of the problem is followed by three mathematical steps, namely, cardinal analysis, ordinal
Rafael Guillermo García-Cáceres, Franklin Ignacio Páez-Rivera, Bernarda Aldana-Gómez, Ernesto Acosta-Gempeler, John Wilmer Escobar-Velásquez   +4 more
doaj   +1 more source

Learning a bayesian network from ordinal data [PDF]

Bayesian networks are graphical models that represent the joint distributionof a set of variables using directed acyclic graphs. When the dependence structure is unknown (or partially known) the network can be learnt from data.
Flaminia Musella
core  

An Empirical Bayes Approach to Estimating Ordinal Treatment Effects [PDF]

, 2008
Ordinal variables — categorical variables with a defined order to the categories, but without equal spacing between them — are frequently used in social science applications.
Alvarez, R. Michael, Bailey, Delia, Katz, Jonathan N.   +2 more
core   +1 more source

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

Estimating the Minimum Sample Size for Neural Network Model Fitting—A Monte Carlo Simulation Study

Behavioral Sciences
In the era of machine learning, many psychological studies use machine learning methods. Specifically, neural networks, a set of machine learning methods that exhibit exceptional performance in various tasks, have been used on psychometric datasets for ...
Yongtian Cheng, Konstantinos Vassilis Petrides, Johnson Li   +2 more
doaj   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

A causal inference method for athletic injuries based on quantile threshold functions and latent Gaussian DAG models

Frontiers in Public Health
IntroductionCausal inference of athletic injuries provides the critical foundations for the development of effective prevention strategies. In recent years, the directed acyclic graph model (DAG) has established itself as an indispensable tool in the ...
Tao Xie, Yaxian Hao, Fen Xie
doaj   +1 more source

Data analysis with ordinal and interval dependent variables: examples from a study of real estate salespeople [PDF]

This paper re-examines the problems of estimating the parameters of an underlying linear model using survey response data in which the dependent variables are in discrete categories of ascending order (ordinal, as distinct from numerical) or, where they ...
Barry E. Langford, G. Martin Izzo
core  

Principal component analysis and self organizing map for visual clustering of machine-part cell formation in cellular manufacturing system

, 2011
The present paper attempts to generate visual clustering and data extraction of cell formation problem using both principal component analysis (PCA) and self organizing map (SOM) from input of sequence based machine-part incidence matrix.
Chattopadhyay, Manojit, Dan, Pranab K., Majumdar, Sitanath   +2 more
core   +1 more source