Results 41 to 50 of about 811,918 (310)

Sizing the Shape: Understanding Morphometrics [PDF]

Journal of Clinical and Diagnostic Research, 2015
Purpose: One of the most fundamental limitations associated with the conventional cephalometrics is its inability to delineate size from shape as it depends mainly on linear and angular measurements.
Neha
doaj   +1 more source

Fault diagnosis of WOA-SVM high voltage circuit breaker based on PCA Principal Component Analysis

Energy Reports, 2023
High voltage circuit breakers (HVCB) are significant protection and control devices for electric systems, and its operating state directly influences the stability and reliability of electric systems. In order to solve the problem of low precision of the
Liyuan Yang, Kuan Zhang, Zehua Chen, Yongchun Liang   +3 more
doaj   +1 more source

FINGERPRINT ANALYSIS OF Stevia rebaudiana USING HIERACHIAL CLUSTER ANALYSIS (HCA) AND PRINCIPAL COMPONENT ANALYSIS (PCA)

Majalah Obat Tradisional, 2016
Bioactivity herbal plant is influenced by its active compounds and consistency. Stevia rebaudiana contains bioactive compounds, diterpene glycosides which have antidiabetes activity.
Yohanes Martono, Sugeng Riyanto, Sudibyo Martono, Abdul Rohman   +3 more
doaj   +1 more source

Determining Principal Component Cardinality through the Principle of Minimum Description Length

, 2019
PCA (Principal Component Analysis) and its variants areubiquitous techniques for matrix dimension reduction and reduced-dimensionlatent-factor extraction. One significant challenge in using PCA, is thechoice of the number of principal components.
A Blumer, AJ Donald, AP Dawid, AR Barron, C Eckart, DC Hoyle, IT Jolliffe, J Josse, J Rissanen, J Rissanen, J Rissanen, J Rissanen, JI Myung, M Mitzenmacher, M Zhu, MH Hansen, T Hastie, TM Cover, Y Choi   +18 more
core   +1 more source

Data mining of particulate matter (PM2.5) using Principal Component Analysis (PCA) in Isfahan [PDF]

اکولوژی انسانی
Elevated concentrations of particulate matter (PMs), particularly PM2.5, are significantly influenced by various anthropogenic activities, including industrial processes, population growth, and fossil fuel combustion, especially during peak urban hours ...
Sohrab Hasheminejad, Samane Shahrabi, Reza Peykanpour Fard   +2 more
doaj   +1 more source

Nicotinamide N‐methyltransferase promotes drug resistance in lung cancer, as revealed by nascent proteomic profiling

Molecular Oncology, EarlyView.
AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou, Zhen Wang, Fei Yang, Xiao Han, Lei Li, Huadong Liu   +5 more
wiley   +1 more source

Principal Component Analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated

Scientific Reports, 2022
Principal Component Analysis (PCA) is a multivariate analysis that reduces the complexity of datasets while preserving data covariance. The outcome can be visualized on colorful scatterplots, ideally with only a minimal loss of information.
E. Elhaik
semanticscholar   +1 more source

ANALISIS FAKTOR PENYEBAB PENYAKIT JANTUNG MENGGUNAKAN METODE PRINCIPAL COMPONENT ANALYSIS (PCA)

Jurnal Lebesgue
Factor analysis is an important method in research to identify the underlying structure of complex data. Heart disease is a disease caused by a disturbance in the coronary blood vessels that causes narrowing and blockage so that it can interfere with the
Sudianto Manullang, Nerli Kairani, Marlina Setia Sinaga, Brian Hutapea, Fauza Nadya, Jesika Casadae Wanda Br Barus, Angga Tamara, Dewi Fortuna Silaban   +7 more
doaj   +1 more source

PRINCIPAL COMPONENT ANALYSIS (PCA) OF THE ACTIVITIES OF INFORMAL CONSTRUCTION WORKERS/ARTISANS IN NIGERIA

Journal of Construction Project Management and Innovation, 2014
Every employment has deposit of activities to be performed by her employees. These activities vary with industries and who performs each of these activities is determined by how significance they are to the employment operation.
Sunday Julius Odediran, Olubola Babalola
doaj   +1 more source

High Dimensional Semiparametric Scale-Invariant Principal Component Analysis

, 2014
We propose a new high dimensional semiparametric principal component analysis (PCA) method, named Copula Component Analysis (COCA). The semiparametric model assumes that, after unspecified marginally monotone transformations, the distributions are ...
Han, Fang, Liu, Han
core   +1 more source