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Research ArticleOpen accessIn the abstractPerceived Anomic Threat, Beliefs in LGBTQ Conspiracy Theories and Support for Violence Against LGBTQ Minorities in a Highly Heteronormative Context: The Case of CameroonAchille Vicky Dzuetso Mouafo, Hermann Kevin Ekango Nzekaih, Gustave Adolphe MessangaThe literature on conspiracy theories reports that they are generated by a feeling of threat and are catalysts for the extremist and violent behavior of which many minority groups are victims, including members of the LGBTQ community. However, the fact that LGBTQ conspiracy theories are poorly documented in the scientific literature does not allow us to know what link they … …Current Research in Psychology, Vol. 10, Issue 1 · 21 Mar 2024 · 9,033 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Thoracic X-Ray Images of COVID-19 Patients Using the Convolutional Neutral Network (CNN) MethodRamacos Fardela, Dian Milvita, Mawanda Almuhayar et al.Recently, radiology modalities have been widely used to detect COVID-19. Thoracic X-rays and CT scans are the primary radiological tools utilized in the diagnosis and treatment of individuals with COVID-19. In addition, chest CT scans are more accurate and sensitive in early COVID-19 identification. A new problem arises in diagnosing the results of CT scan images of COVID-19 by radiologists … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 5,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Spectrum Sensing and Allocation Model for Primary User Detection and Interference Mitigation in Television WhitespacesJoachim Notcker, Emmanuel Adetiba et al.Television White Space (TVWS) emerges as an encouraging solution to address the challenge of a restricted wireless communication spectrum. It denotes the frequency range spanning from 54-790 MHz and researchers have increasingly explored its propagation characteristics in recent years. Nonetheless, a notable hindrance to its effective utilization lies in the interference between primary and secondary users, as well as interference … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Oceanographic Data for Prediction of the Potential of Marine ResourcesDenny Arbahri, Oky Dwi Nurhayati, Imam MuditaMarine data and information are very important for human survival, therefore this data and information is attractive to investors because of the potential economic value. This data and information has been difficult to obtain, the solution to overcome this is by analyzing oceanographic data for 2009-2019 collected from the marine database belonging to the Agency for the Study and Application … …Journal of Computer Science, Vol. 20, Issue 2 · 8 Jan 2024 · 5,975 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of Information Reliability and Cloud Computing Efficiency on Website Design and E-Commerce Business in ThailandCharuay Savithi, Arisaphat SuttideeThe security and reliability of cloud computing services continue to be major concerns that hinder their widespread adoption. This study explores how information reliability and cloud computing efficiency influence website design and e-commerce business development decisions on cloud computing. The researchers distributed 379 questionnaires to determine the sample size, resulting in a 46.50% response rate of 46.50% with 186 participants. … …Journal of Computer Science, Vol. 20, Issue 2 · 3 Jan 2024 · 5,746 accessesView PDFCite
Review ArticleOpen accessIn the abstractDefect Types and Software Inspection Techniques: A Systematic Mapping StudyEdson OliveiraJr, Ricardo Theis GeraldiSoftware inspection has been used to guarantee and control the quality of products by detecting defects, which can be spread out throughout the entire software life cycle. Therefore, the main premise is to identify and reduce the number of defect types in software artifacts during inspections. This work focuses on providing an up to dated overview of existing defects in … …Journal of Computer Science, Vol. 13, Issue 10 · 13 Oct 2017 · 7,931 accessesView PDFCite
Review ArticleOpen accessIn the abstractLupane-Type Triterpenoids BiotransformationZhumadilov Sayat Sagatovich, Bakibaev Abdigali Abdimanapovich, Zhadan Konstantin Vasilevich et al.A lot of scientific material has been accumulated in recent years about the biotransformation processes of lupine-type triterpenoids. The novelty of this review is the summary of these works, the analysis and identification of the most suitable biocatalysts for future researchers, and the presentation of development trends for new derivatives. The known biotransformation examples of the most common lupine-type triterpenoid … …OnLine Journal of Biological Sciences, Vol. 24, Issue 1 · 12 Dec 2023 · 4,950 accessesView PDFCite
Research ArticleOpen accessIn the abstractBulk and Interface Configuration on the Performances of Perovskite Solar CellsSankara Issiaka, Soumaïla Ouédraogo, Daouda Oubda et al.The ongoing search for energy conversion technologies that are more efficient, affordable, and sustainable than traditional solar cells have led researchers to look at other technologies. Among these technologies, perovskite-based solar cells seem increasingly credible, as they have the potential to achieve high energy conversion efficiencies that rival or even surpass those of silicon solar cells, which currently dominate the … …American Journal of Applied Sciences, Vol. 20, Issue 1 · 7 Nov 2023 · 6,024 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Study: Algorithms for Short Message Service ClassificationEvaristus Didik Madyatmadja, Aldi, Fiona Fheren et al.This research aims to classify Short Message Service (SMS) data by applying classification models that have studied SMS data to classify SMS data into SMS spam and SMS ham. The classification model is made from data mining algorithms: Naive Bayes and support vector machine. Before implementing the two algorithms, the SMS data will go through a text preprocessing stage, including … …Journal of Computer Science, Vol. 19, Issue 11 · 29 Sep 2023 · 4,998 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Metaheuristic Algorithm for Diseases Classification Using UAV ImagesYagnasree Sirivella, Anuj JainRecent advances in technology are very astounding since they have made it possible to manage and monitor systems remotely. Traditional farming is undergoing a transition towards "smart farming" with the assistance of technological breakthroughs, which include the implementation of intelligent irrigation systems and the remote monitoring of the development of crops. In particular, the Unmanned Aerial Vehicle plays a significant … …Journal of Computer Science, Vol. 19, Issue 10 · 11 Sep 2023 · 5,253 accessesView PDFCite