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223 articles for “Secondary Study”
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Research ArticleOpen accessIn the abstractMetabolic Markers of Insulin Resistance in Feline Hypertrophied Myocardium. Insulin Resistance in Heart FailureOleinikov Dmitrii ArkadievichInvestigation of myocardial tissue concentration of ATP, glucose transporters 1 and 4, pyruvate dehydrogenase, hexokinase 2, insulin receptor and adropin proteins, determining metabolic changes and possible insulin resistance in feline myocardium with hypertrophic phenotype. This is the pilot study for metabolic markers determination. Eighteen cats were studied, divided into 3 groups: Without cardiac disease (n = 5), cats with hypertrophic … …American Journal of Animal and Veterinary Sciences, Vol. 15, Issue 4 · 13 Nov 2020 · 6,327 accessesView PDFCite
Research ArticleOpen accessIn the abstractRespondent’s Perception on Anthropogenic Determinants of Gully Erosion in Upper Imo River Basin (UIRB), Southeastern NigeriaChibo Christian Nnamdi, Oluoyin Adeola FashaeGully erosion has been acknowledged as one of the global environmental issues that affect the region's economy. It is caused by man in his quest to make a living through different economic activities. This research was carried out to investigate the perception of the people in gully-prone areas on the anthropogenic determinants of gully erosion within a headwater. Various economic … …American Journal of Environmental Sciences, Vol. 19, Issue 4 · 21 Feb 2024 · 5,545 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of a Cyclachaena Xanthiifolia Extract on Trematodes Opisthorchis Felineus: An in Vitro StudyDenis Ponomarev, Elena Khramova, Natalia Gubanova et al.Cyclachaena xanthiifolia is a phytochemically rich invasive weed with documented allelopathic properties, making it a candidate source of bioactive compounds with potential medicinal applications. This study investigated the anthelmintic activity of a crude aqueous-ethanolic extract of C. xanthiifolia (CxEt), prepared from equal proportions of leaves and seeds, against the trematode Opisthorchis felineus in vitro. The effects of CxEt on the … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 1 Jun 2026 · 1,251 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Model of Corn Commodity Production in Indonesia: Production and Operation Management-Quantitative Method (POM-QM) SoftwareAsriani, Dhian Herdhiansyah, Wa Embe, LM Fid AksaraFood is essential for humans. In addition to being consumed, it can also be a valuable commodity for economic purposes through the production of food crops. Therefore, this study aims to model the forecasting of maize production in Indonesia using Production and Operations Management-Quantitative Method (POM-QM) software. The uniqueness of this research lies in its innovative approach to predicting corn … …Journal of Computer Science, Vol. 20, Issue 4 · 20 Feb 2024 · 6,150 accessesView PDFCite
Research ArticleOpen accessIn the abstractResource Pooling Coupled with Power Adaptation for the Management of Interferences between Cellular and D2D Communications in 5GDeussom Djomadji Eric Michel, Mengoumou Abessolo ArseneAs telecommunication networks are booming, we are witnessing an ever-increasing evolution of network generations. These evolutions are due both to the ever-higher demands of subscribers and services. Thus, the world we live in is moving towards a global interconnection of information systems and equipment, with an ever-increasing demand in terms of throughput, in terms of low latency, and reliability. This … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 5 Mar 2025 · 8,575 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Based Prediction of Catch Yields in Small Scale FisheriesEpifelward Niño Olaivar Amora, Patrick D. CernaSmall-scale fisheries are critical for food security and livelihoods but increasingly face threats from overfishing and environmental change. This study employed machine learning to predict catch yields in Cogtong Bay, Philippines, using 3,478 records collected in 2020–2021 that included species, gear, location, season, and weather data. Models developed in Python with scikit-learn and XGBoost compared Random Forest (RF), Extreme Gradient … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,096 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnchoring Public Health Forecasts: High-Precision Obesity Prevalence Estimation Via Hybrid Geodemographic Ensemble RegressionTrenton Ward, Isaac OsunmakindeObesity remains a major driver of chronic disease and rising healthcare costs in the United States. Yet, most existing predictive models rely on single-model classifiers and rarely incorporate spatial structure or ensemble-based regression, thereby limiting their ability to capture geodemographic variation. This study introduces a hybrid unsupervised–supervised ensemble framework that integrates K-Means spatial profiling with a Stacking Regressor to address … …Journal of Computer Science, Vol. 22, Issue 7 · 31 Jul 2026 · 632 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Surface Microhardness and Antimicrobial Activity of Conventional and Bioactive Composite Materials for Dental RestorationsBruno Fongaro Dalbosco, Rafael da Silva Vanolli, Poliana Maria de Faveri Cardoso et al.This study evaluated the fluoride release capability, antimicrobial activity, and surface microhardness of bioactive composite resins, critical properties for the effectiveness and durability of dental materials in restorative procedures. Conventional and bioactive composite resins with varying viscosities were tested. Specimens of each resin type were prepared and stored in physiological saline solution for 24 hours to simulate oral conditions. Surface … …Current Research in Dentistry, Vol. 16, Issue 1 · 29 Jan 2026 · 2,809 accessesView PDFCite
Research ArticleOpen accessIn the abstractMolecular Detection of Follicle Stimulating Hormone Receptor Polymorphisms and Luteinizing Hormone Gene Variations in Primary and Secondary Iraqi Infertile WomenNoor Basim Naser, Dr. Ezeddin Atia Albayyar, Dr. Susan Abed ZaidanThe current study aimed to determine the role of hormonal disturbances in infertility, moreover assessing variations at the molecular level that could affect this disease. The study examined 90 blood samples, 30 patients with primary infertility, 30 patients with secondary infertility and 30 healthy women as control. FSH and LH were measured using Electrochemiluminescence assay. DNA was isolated for molecular … …OnLine Journal of Biological Sciences, Vol. 18, Issue 4 · 15 Nov 2018 · 7,553 accessesView PDFCite
Research ArticleOpen accessIn the abstractLow-Homology Protein Structural Class Prediction from Secondary Structure Based on Visibility and Horizontal Visibility NetworkZhi-Qin Zhao, Liang Luo, Xiao-Yan LiuIn this study, based on the predicted secondary structures of proteins, we propose a new approach to predict protein structural classes (α,β,α/β,α+β) for three widely used low-homology data sets. Fist, we obtain two time siries from the chaos game representation of each predicted secondary structure; second, based on two time series, we construct visibility and horizontal visibility network, respectively and … …American Journal of Biochemistry and Biotechnology, Vol. 14, Issue 1 · 12 Mar 2018 · 9,668 accessesView PDFCite