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502 articles for “two sample”
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Research ArticleOpen accessIn the abstractIn Sacco and in vitro Evaluation of Heating and Formaldehyde Treated Protein FeedAnnisa Rosmalia, Idat Galih Permana, Despal, Toto ToharmatMassive protein conversion into ammonia in the Rumen (RDP) should be avoided to prevent protein quality deterioration. Heating and formaldehyde treatments are commonly used to decrease Rumen-Degradable Protein (RDP), but it rarely used to protect local feed. We aimed to compare the effectiveness of heating and formaldehyde treatments in decreasing the RDP of local feed. The use of fistulated cattle, … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 1 · 12 Feb 2024 · 6,253 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Permutation Test for Comparing Two Correlated Receiver Operating Characteristic CurvesOkeh Uchechukwu Marius, Onyeagu SidneyThe area under the Receiver Operating Characteristic (ROC) curve (AUC) is a summary measure when comparing two ROC curves. However, this summary measure is less informative when two ROC curves cross and have the same AUCs. In order to detect differences between ROC curves and to be able to tackle the problem of exchangeability of the labels between two diagnostic … …Journal of Mathematics and Statistics, Vol. 16, Issue 1 · 24 May 2020 · 8,129 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Studies on Development History of Chinese Diasporic Media in the WestJack Kangjie LiuThis study compares and presents the similarities in the development of Chinese diasporic media in Western countries, especially focusing on the influence of the Chinese diaspora and the homeland political economy, from the past to the present. An investigation was conducted on the research sample-the Chinese diaspora and diasporic media in Australia and New Zealand through documentary and field research. … …American Journal of Applied Sciences, Vol. 19, Issue 1 · 16 Mar 2022 · 7,663 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Examination of Factor Structure of the Hamilton Anxiety Rating Scale in a Non-Clinical Persian SamplePaul Slater, Brendan Bunting, Felicity Hasson et al.The Hamilton Anxiety Rating Scale is an internationally used assessment tool for anxiety level however its acceptable factor structure remains fluid. The aim of this paper is to examine the psychometric properties and establish normative anxiety prevalence rates with a Persian randomized sample. A cross sectional survey was distributed to a randomised sample of adults (n = 1260) in the … …International Journal of Research in Nursing, Vol. 10, Issue 1 · 28 May 2019 · 9,825 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrevalence of Giardia duodenalis in Household and Shelter Cats in Almaty, South-Eastern KazakhstanLyudmila Lider, Altay Ussenbayev, Vladimir Kiyan et al.Giardia duodenalis is a widely distributed protozoan parasite, that causes acute gastroenteritis in many animal species and humans all over the world. We aimed to carry out a cross-sectional study to determine the prevalence of G. duodenalis among cats in Almaty City, Kazakhstan. A total of 164 fecal samples from different origin cats (household, sheltered) in two veterinary clinics and … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 3 · 23 Aug 2024 · 5,071 accessesView PDFCite
Case ReportOpen accessIn the abstractGully Morphological Assessment and Anthropogenic Determinants in Urban and Rural Settlements of Upper Imo River Basin (UIRB) South Eastern NigeriaNnamdi Christian ChiboGully erosion have been proven to vary both in terms of size and number in urban and rural settlements and is caused by factors related to both human and natural phenomenon. This study assessed the gully morphological development in an urban and rural settlement with the view of finding the settlement that is more vulnerable to gully erosion development. It … …American Journal of Environmental Sciences, Vol. 18, Issue 6 · 19 Dec 2022 · 5,950 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,021 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Satellite Custody of Moving Ground TargetsDavid SchusterMaintaining persistent custody of ground targets from Low Earth Orbit (LEO) is a key challenge in space-based surveillance and reconnaissance. Traditional rule-based tasking strategies struggle with scalability as the number of assets and targets grows. In this paper, we present a centralized Reinforcement Learning (RL) approach using Proximal Policy Optimization (PPO) to coordinate four LEO satellites tasked with tracking two … …Journal of Computer Science, Vol. 22, Issue 3 · 25 Mar 2026 · 1,575 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Collinearity Indices for Linear Models in Agricultural TrialsDanny Villegas Rivas, José M. Palacios Sánchez, Cristina A. Alzamora Rivero et al.The deleterious consequences of collinearity in linear regression on the precision of estimators of regression coefficients and the interpretability of the fitted model are widely recognized. In this study, we compare several methodologies for assessing collinearity in linear models and explore the effect of outliers on collinearity. The robustness of collinearity measures (individual and overall) is validated through two detailed … …OnLine Journal of Biological Sciences, Vol. 24, Issue 2 · 28 Dec 2023 · 6,491 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