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73 results for “ISC”
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Research ArticleOpen accessIn the abstractMMP-9 is a Potential Prognostic Marker of Left Ventricular Remodeling in Patients with Coronary Artery DiseaseMikhail Aleksandrovich Popov, Anastasia Vladimirovna Poznyak, Dmitry Valerievich Shumakov et al.Matrix Metalloproteinase-9 (MMP-9) emerges as a promising prognostic marker for assessing left ventricular remodeling in patients with coronary artery disease, particularly in the context of Ischemic Heart Disease (IHD) complicated by left ventricular aneurysm. In this study, we conducted two parallel investigations to explore the prognostic significance of MMP-9 in patients with multivessel coronary artery disease undergoing left ventricular reconstruction … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 11 Jul 2024 · 4,314 accessesView PDFCite
Research ArticleOpen accessIn the abstractSelection of Kalmyk Cattle in KazakhstanAnuarbek Temirbekovich Bissembayev, Alzhan Smailuly Shamshidin, Zhanat Maratovich Kasenov et al.The purpose of the study is to determine the precocity of Kalmyk cattle breeding stock in Kazakhstan and the accuracy of productivity assessment by indices of breeding value. It is established that calves are born with a live weight of 22.4-25.7 kg, at the age of six months they reach a live weight of 165.2-175.3 kg. The average daily increase … …OnLine Journal of Biological Sciences, Vol. 24, Issue 1 · 23 Nov 2023 · 5,723 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuantization and Pipelined Hardware Implementation of Deep Neural Network ModelsEl Hadrami Cheikh Tourad, Mohsine EleuldjInrecent years, Deep Neural Networks (DNNs) have garnered much interest due toadvances in computational power and data availability. Indeed, DNNs presents a considerable advantage in several challenges, suchas classification problems and video analysis. Although, such accomplishmentleads to significantly increasing energy demands, computational expenses, andmemory capacity. In addition, current efficient DNNs may have more complex andextensive structures. As a result, implementing … …Journal of Computer Science, Vol. 18, Issue 11 · 26 Oct 2022 · 5,707 accessesView PDFCite
Review ArticleOpen accessIn the abstractComparative Study of Visual Odometry Performance Based on Road ClassificationsDayang Nur Salmi Dharmiza, Awang Salleh, Kuryati KipliAccuracyand robustness are among the main concerns in vehicle positioning systems andautonomous applications. These concerns are crucial in GNSS-deniedenvironments; thus, we need an alternative technology to overcome this problem.In recent years, vision-based localization known as visual odometry has gainedconsiderable attention among researchers. Visual odometry is a vision-basedpose estimation and it has been developed for mobile object localization suchas robots and … …Journal of Computer Science, Vol. 18, Issue 11 · 26 Oct 2022 · 5,903 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeasure of Departure from Conditional Partial Symmetry for Square Contingency TablesYusuke Saigusa, Nobuki Fukumoto, Tomoyuki Nakagawa, Sadao TomizawaFor square contingency tables, asymmetry of conditional probability in part of the off-diagonal cells isconsidered with respect to the main diagonal. A measure is proposed torepresent the degree of departure from the symmetric structure and gives theapproximate confidence interval. Some numerical experiments are performed toillustrate the validity and usefulness of the proposed measure. Japaneseoccupational data are analyzed using the measure. …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 4 Oct 2022 · 5,563 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of Optimum Alloy Sample Size for Ball Mill Abrasion Test Through Automated t-Student Distribution AnalysisCarlos Daniel Garcia Mendoza, Lelly María Useche Castro, Miguel Ángel Lapo Palacios et al.Inmaterial wear experiments, such as the Ball Mill Abrasion Test (BMAT), it iscrucial to know the number of specimens to be used in each experiment toproduce accurate and reliable results. In BMAT, however, a structured way ofdetermining the necessary number of balls per type of material to be includedin the experiments has not been considered to date. This article shows, … …Journal of Computer Science, Vol. 18, Issue 9 · 14 Sep 2022 · 5,944 accessesView PDFCite
Research ArticleOpen accessIn the abstractParameters Assessment for Industrial 5G NetworksChristian Mailer, Alex Sandro Roschildt Pinto, Adao BoavaTheFifth Generation of Mobile Networks (5G) will allow low latency to be achievedwhile providing high reliability. This service grade will suit industrialapplications very well since it will allow the integration of a wirelessframework without compromising the determinism of industrial networks.Employing Time-Sensitive Networking (TSN) standards in the 5G architecture iscurrently the best solution to maintain compatibility with existing industrialimplementations and to … …Journal of Computer Science, Vol. 18, Issue 8 · 30 Aug 2022 · 5,991 accessesView PDFCite
Research ArticleOpen accessIn the abstractCharacteristics and Pre-Weaning Growth of Crossbred between Belgian Blue and Wagyu Bulls with Brahman Cross DamsPanjono, Ali Agus, Tety Hartatik et al.This study wasconducted to observe characteristics and pre-weaning growth traits of calvesborn from crossbreeding between Wagyu and Belgian Blue (BB) bulls with BrahmanCross (BX) dams. The experiment was conducted to compare two different crossesBelgian Blue (BB) x BX, Wagyu x BX and also with BX pure breed (BX x BX). Inthe first two crosses, we used Artificial Insemination (AI), while … …American Journal of Animal and Veterinary Sciences, Vol. 17, Issue 3 · 29 Aug 2022 · 8,074 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Clustering-based Metaheuristic for Physical Internet Supply Chain NetworkAbdelsamad Chouar, Samir Tetouani, Aziz Soulhi, Jamila ElalamiIn this study, a data clustering-driven technique is proposed for a Physical Internet Supply Chain Network (PI-SCN) to reduce data complexity, process time compression, and lankness of process optimization. Given a set of data points, a clustering algorithm aims to classify each data-points into a specific group. Each group should have similar properties and/or features, while data points in different … …Journal of Computer Science, Vol. 18, Issue 4 · 21 Apr 2022 · 6,476 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandom Forests for Online Intrusion Detection in Computer NetworksHeitor Scalco Neto, Wilian Soares Lacerda, Rafael Verão FrançozoThis study proposes a methodology to build an Online Network Intrusion Detection System by using the Computational Intelligence technique called Random Forests and an API to preprocess the network packets. The experiments were carried out from two network traffic databases: The ISCX (i); and a test database (ii) created with the proposed API in our own network environment. The results … …Journal of Computer Science, Vol. 17, Issue 10 · 19 Oct 2021 · 6,957 accessesView PDFCite