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19 articles for “linear groups”
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Research ArticleOpen accessPhrase in the titleStrongly Real Elements in the Linear Groups PSLn(q)Ibrahim A.I. SuleimanWe investigated which elements in some projective special linear and unitary groups are strongly real. In particular we showed every real element in PSL2(q) strongly real. We write a full table for real classes which are not strongly real in the unitary groups as well as a table for the non real classes in the unitary groups. …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 6,774 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Body Weight and Age at Puberty and Mating on Subsequent Gilt Development Weights, Litter Traits, and Colostral Immunoglobulin G of the F1 Large White X Landrace GiltsThembela Happines Matukane, Khathutshelo Agree Nephawe, Bohani Mtileni et al.The purpose of this study was to assess how body weight and age at puberty and mating in F1 Large White x Landrace pigs influence subsequent gilt development weights, litter characteristics, and colostral immunoglobulin G levels. A total of 168 gilts were categorized into different weight groups, i.e., body weight at puberty (lighter gilts: <103 kg, moderate gilts: 103-109 kg) … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 4 · 12 Oct 2024 · 5,956 accessesView PDFCite
Research ArticleOpen accessIn the abstractIn vitro Ruminal Cumulative Gas and Methane Production, Enzyme Activity, Fermentation Profile and Nutrient Digestibility on Feed Supplemented with Organic SeleniumMoh. Sofi’ul Anam, Andriyani Astuti, Budi Prasetyo Widyobroto et al.Methane (CH4) emissions are indeed a global environmental concern and ruminants are a significant source of these emissions; however, there is limited understanding regarding the contribution of organic Selenium (Se) in mitigating CH4 emissions. Hence, this study investigated the impact of supplementing organic Se from Selenomethionine (Se-Met) on the in vitro ruminal cumulative gas and CH4 production, fermentation profile, enzyme … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 4 · 26 Oct 2023 · 5,215 accessesView PDFCite
Review ArticleOpen accessIn the abstractBibliometric Analysis of Missing Value Imputation (MVI) Research Using Python and VOSviewer: Trends and Future DirectionsSamsul Arifin, Muhammad Faisal, Edwin Kristianto Sijabat et al.Incomplete data is a pervasive issue in data science, posing significant challenges for statistical analysis and machine learning applications. Missing Value Imputation (MVI) has thus emerged as a critical area of research aimed at mitigating data quality issues and improving decision-making accuracy. This study presents a comprehensive bibliometric analysis of MVI research using Scopus-indexed publications from 2000 to 2024. The … …Journal of Computer Science, Vol. 21, Issue 12 · 20 Jan 2026 · 1,961 accessesView PDFCite
Research ArticleOpen accessIn the abstractRelationship between Volumetric Water Footprint with Carcass and Meat Quality Characteristics Under Intensive Beef Cattle Production in South AfricaTinny Noluthando Macamba, Takalani Judas Mpofu, Khathutshelo Agree Nephawe et al.As water accessibility becomes more challenging due to the increasing human population and agricultural competition, it is crucial to select beef cattle with optimal water efficiency. The study aimed to investigate the relationship between volumetric water footprint with carcass and meat quality of beef cattle under an intensive production system. Thirty-three (33) beef cattle weaners of three different body frame … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 3 · 12 Oct 2024 · 4,728 accessesView PDFCite
Research ArticleOpen accessIn the abstractDefect Classification of Reinforced Concrete Structures with Nondestructive Tests Using Statistical and Machine Learning MethodsSajjad Sayyar-Roudsari, Armaghan Shalbaftabar, Farshid Damirchilo et al.In this study, twelve reinforced concrete beams were constructed, each with specified dimensions and initial compressive strength. The beams were divided into four groups: A control group without any defect, a void group featuring a centrally located void, a corrosion group and a debonding group. The impact echo test was used for nondestructive testing, gathering data on compressive and shear … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 3 · 11 Jun 2024 · 5,258 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Diversity of Fungi in Landfill and their Potential to Degrade PlasticErman Munir, Yitro Pasaribu, Syahira Mubtasima, Ahmad Faisal NasutionPlastic has been known as a recalcitrant material and is very difficult to degrade in nature, resulting in its accumulation and threatening the environment if it is not managed properly. Studies on the degradation of plastics have been obtaining much attention recently. This study aimed to determine the diversity of fungi isolated from plastic wastes in landfills and to identify … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 1 Mar 2024 · 6,693 accessesView PDFCite
InvestigationOpen accessIn the abstractThe Level of Milk Production, Depending on the Exterior Traits of Dairy CowsLyudmila Vasilevna Alimzhanova, Saule Kuanyshpekovna Bostanova, Yuliya Nikolayevna Sheiko et al.This article presents the results of the evaluation of the exterior of the Holstein black-and-white and Simmental breeds by the linear method, the dairy productivity of animals has been studied, the relationship between the studied traits of the exterior and the productivity of animals has been determined. The linear evaluation of the first-calves of the Holstein breed in all traits … …OnLine Journal of Biological Sciences, Vol. 18, Issue 1 · 1 Jan 2018 · 7,967 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Linear Discriminant AnalysisSharipah Soaad Syed Yahaya, Yai-Fung Lim, Hazlina Ali, Zurni OmarLinear Discriminant Analysis (LDA) is the most commonly employed method for classification. This method which creates a linear discriminant function yields optimal classification rule between two or more groups under the assumptions of normality and homoscedasticity (equal covariance matrices). However, the calculation of parametric LDA highly relies on the sample mean vectors and pooled sample covariance matrix which are sensitive … …Journal of Mathematics and Statistics, Vol. 12, Issue 4 · 4 Jan 2017 · 7,649 accessesView PDFCite
Research ArticleOpen accessIn the abstractA HYBRID CRYPTOSYSTEM USING VARIABLE LENGTH SUB KEY GROUPS AND BYTE SUBSTITUTIONAdi Narayana Reddy Kaipa, Vishnu Vardhan Bulusu, Ramakrishna Reddy Koduru, Durga Prasad KavatiHill cipher is developed using simple linear transformation. It is vulnerable to known-plaintext attack and there exist several methods in the direction of linear transformation to overcome the problems. HCM-EE is an improved method using Eigen value but it is linear and too many mathematical operations. In this study an attempt has been made to introduce nonlinearity to the linear … …Journal of Computer Science, Vol. 10, Issue 2 · 13 Nov 2013 · 6,871 accessesView PDFCite