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Research ArticleOpen accessIn the abstractExtended Trigger Terms for Extracting Adverse Drug Reactions in Social Media TextsRami Naim Mohammad Yousef, Sabrina Tiun, Nazlia OmarAdverse Drug Reaction (ADR) is a disorder caused by taking medications. Studies have addressed extracting ADRs from social networks where users express their opinion regarding a specific medication. Extracting entities mainly depends on specific terms called trigger terms that may occur before or after ADRs. However, these terms should be extended, especially when examining multiple representation of N-gram. This study … …Journal of Computer Science, Vol. 15, Issue 6 · 29 Jun 2019 · 8,058 accessesView PDFCite
Review ArticleOpen accessIn the abstractVisualization of Data Mining Techniques for the Prediction of Breast Cancer with High Accuracy RatesVasudev Sharma, Raj Kumar Rajasekaran, Shreya BadhrinarayananBreast cancer is one of the leading causes of death in women worldwide. Around one in 30 women are affected by breast cancer. Mammography has helped in detecting breast cancer in the early stages which have reduced mortality. The diagnosis of breast cancer is dependent on a variety of parameters. In this paper, we aim to create the best model … …Journal of Computer Science, Vol. 15, Issue 1 · 21 Jan 2019 · 8,955 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenome-Wide Association Study of Single Nucleotide Polymorphisms with Milk Traits in Red Gorbatov CattleMarina Ivanovna Selionova, Grigorii Sergeyevich Shekhovtsev, Ivan Petrovich Prokhorov et al.In order to preserve the gene pool of the Red Gorbatov breed, it is necessary to use a set of genomic analysis tools that allows more efficient planning in obtaining individuals who meet the economic requirements of dairy farming. The aim of the work was to identify candidate genes associated with milk production traits in Red Gorbatov cattle using a … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 4 · 12 Oct 2024 · 4,741 accessesView PDFCite
Research ArticleOpen accessIn the abstractGlobal Supply Chain: Enhance Production Cost Efficiency Through Machine LearningLoubna Moumeni, Mohammed SaberMachine learning has enabled the discovery of various disciplines and patterns in Supply Chain Management (SCM). The entire industrial sector is striving to harness the contextual intelligence provided by machine learning by exploring new areas within the supply chain network. This article delves into Supply Chain Management (SCM) and its broader implications beyond logistics. SCM involves the resources, methods, and … …Journal of Computer Science, Vol. 20, Issue 9 · 14 Jun 2024 · 5,320 accessesView PDFCite
Research ArticleOpen accessIn the abstractUnfair Reviews Detection on Amazon Reviews using Sentiment Analysis with Supervised Learning TechniquesElshrif Ibrahim Elmurngi, Abdelouahed GherbiReputation and trust are significantly important and play a pivotal role in enabling multiple parties to establish relationships that achieve mutual benefit especially in an E-Commerce (EC) environment. There are several factors negatively affecting the sight of customers and sellers in terms of reputation. For instance, lack of credibility in providing feedback reviews, by which users might create phantom feedback … …Journal of Computer Science, Vol. 14, Issue 5 · 14 May 2018 · 9,889 accessesView PDFCite
Research ArticleOpen accessIn the abstractInfluences of Conventional Feeding Regimen on the Productivity of Bali Cattle in SamarindaHamdi Mayulu, Siti Maisyaroh, Surya Nur Rahmatullah, Irsan TricahyadinataThe pattern of Bali cattle farming in Indonesia is dominated by traditional livestock systems which are identical to local feeding (without taking into account the needs of cattle. This study aims to determine the effect of conventional feeding on the productivity of Bali cattle in Lempake Village, North Samarinda Sub-district, Samarinda City. The study targeted male Bali cattle and measured … …American Journal of Animal and Veterinary Sciences, Vol. 17, Issue 4 · 27 Oct 2022 · 7,398 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Rust Emergence in Coffee Plantations using Data Mining: A Systematic ReviewLenin Quiñones Huatangari, Candy Lisbeth Ocaña Zúñiga, Annick Estefany Huaccha Castillo et al.Hemileia vastatrix is a fungus that causes coffee rust disease and, depending on the level of severity, reduces the photosynthetic capacity of the plant and of new shoots, leading to low coffee yields and even death; its symptoms are visible on the leaf. Systems based on computer algorithms have been developed to predict diseases and pests in coffee. The objective … …OnLine Journal of Biological Sciences, Vol. 22, Issue 2 · 31 Mar 2022 · 8,028 accessesView PDFCite
Research ArticleOpen accessIn the abstractHand Anthropometric Data for Saudi Arabia Engineering Students of Aged 20-26 Years at King Khalid UniversityMohamed A.A. MansourAnthropometric data plays a significant role in the effective and accurate design of various devices and machines. The inclusion of anthropometric data helps ensure that devices or machines are safe, user-friendly and highly productive and efficient. In this study, 56 hand dimensions based on 266 Saudi Arabian inter-university adult males aged 20-26 years are described in terms of statistics, bivariate … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 27 Sep 2016 · 8,701 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractE-loyalty and Business to Business (B2B) E-Commerce Success: Applied Study on Sample of E-Retailers in Amman City, JordanAhed Al-Haraizah, Baha`a Al-NadyThis research paper investigates the antecedents and consequences of customer loyalty in an online business-to-business e-commerce context. Moreover, this research identifies two key factors of e-loyalty (attitudinal and behavioral loyalty) that potentially impact business to business e-commerce success within e-retailers in Amman city. Therefore, the aim of this research paper is to develop a comprehensive research model utilized for discovering … …American Journal of Economics and Business Administration, Vol. 7, Issue 3 · 2 Sep 2015 · 7,877 accessesView PDFCite