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Research ArticleOpen accessIn the abstractAgricultural Mechanization in Niger: What Role do Animals Play?Warouma Arifa, Chaibou Mahamadou, Saley Adamou LaoualiThe intensification of agriculture through the use of animal energy has been used since colonial times. This study aims to analyze the level of mechanization in Niger while relying on the role played by animals used for farming in the regions of Maradi and Zinder (Niger Republic). Data collection was carried out between June and August 2020, using a questionnaire … …American Journal of Applied Sciences, Vol. 19, Issue 1 · 7 Feb 2022 · 6,947 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of Information System Quality on the Organizational Effectiveness and the Financial Reporting QualityA. B. M. Yasir Arafat, Sultana Akter, Mohammad Jonaed Kabir et al.The purpose of this research is to assess the contribution of information system quality to organizational effectiveness and financial reporting quality prepared by commercial banks in Bangladesh. For this purpose, a survey is conducted to gather information from 240 people by purposefully sampling method about their experiences in information system quality, the effectiveness of their organization, and the financial reporting … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Nov 2024 · 4,629 accessesView PDFCite
Review ArticleOpen accessIn the abstractUnveiling the Factors Influencing Social Media Usage Among A'Sharqiyah University Students: Exploring Impacts and Pathways to OptimizationHamed Al Hajri, Salim Al Hajri, Alycia SebastianSocial media networks facilitate global connectivity and communication by providing platforms for users to interact, share information, and build communities online. This study aims to explore the impact of utilizing Social Media Networks (SMNs) on the academic attainment of A’Sharqiyah University students in the Sultanate of Oman. It recognizes the global significance of SMNs in modern society, emphasizing their role … …Journal of Computer Science, Vol. 20, Issue 11 · 5 Sep 2024 · 4,867 accessesView PDFCite
Literature ReviewOpen accessIn the abstractLiterature Study on Factors Influencing the Biochemical Analytes Stability in Blood, Serum and Plasma: Systematic ReviewSamia El Mahi, Asmae Tantane, Sanaa Ait Hamou, Said OubraimBlood testing represents an essential phase in diagnosis and treatment. It is important to comprehend the biochemical analytes' stability. This research gathers information from different journals that have investigated the stability of biochemical analytes under different conditions. This research aims to collect and analyze data about conditions that promote stability, conditions that lead to instability, and how stability varies in … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 3 · 21 Aug 2024 · 5,192 accessesView PDFCite
Review ArticleOpen accessIn the abstractOverview of Atherosclerotic Plaque: From Formation to ComplicationAnastasia Vladimirovna Poznyak, Varvara Alexandrovna Orekhova, Vasily Nikolaevich Sukhorukov et al.Atherosclerosis is a serious worldwide health problem. The pathogenesis of this disease is complex and includes a multilevel interaction of such processes as inflammation, endothelial dysfunction, mitochondrial dysfunction, and multiple modifications of lipid particles. With the increase in life expectancy, mankind is more and more often faced with the unpleasant consequences of atherosclerosis. Atherosclerosis is a precursor to serious health … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 6 Mar 2024 · 5,393 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Sense: Deep Learning for Early Staging the Onset of Diabetes Emanating Recognition of Activity PatternsMohammed Shamsul Alam, Erfanul Hoque Bahadur, Md Fokrul Islam Khan et al.This study presents a comprehensive framework for Human Activity Recognition (HAR) using smartphone sensor data, with a specific focus on identifying activities associated with diabetic risk factors. We investigate the efficacy of two deep learning architectures (Long Short-Term Memory (LSTM) networks and Graph Convolutional Networks (GCNs)) for activity recognition under conditions of limited training data. To address data scarcity, we … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,268 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandom Forest-Based Genome Analysis for Disease Association and SNP Marker IdentificationXiangdong LiuAt present, genomic data analysis has the problems of insufficient model interpretation and limited computational efficiency in disease association research. As a powerful machine learning algorithm, Random Forest has demonstrated excellent ability in processing complex and multi-dimensional data sets and has gradually become a popular tool in the field of bioinformatics. The purpose of this paper is to explore how … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 25 Jul 2025 · 5,533 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning-Based Traffic Prediction in 4G LTE Networks. Case Study of a Mobile Operator in CameroonEric Michel Deussom Djomadji, Valery Nkemeni et al.Mobile subscribers are increasingly demanding the availability of broadband services while the radio resources allowing them to be connected are limited. Understanding mobile Internet consumption trends and subscriber traffic demands is essential to enable the management of existing radio resources. However, it can be difficult to understand and describe the data usage patterns of mobile users because of the complexity … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 1 Mar 2025 · 8,728 accessesView PDFCite
Review ArticleOpen accessIn the abstractBig Data and its Future in Computational Biology: A Literature ReviewIman Ahmed ElSayed, Kamal ElDahshan, Hesham Hefny, Eman Karam ElSayedBig data technologies are used majorly for computational biology research nowadays due to the emerge of massive amounts of biological data that have been generated and collected at an unprecedented speed and scale and with different structures. As an example, the processing of billions of DNA sequence data per day represents the new generation of sequencing technologies. It is expected … …Journal of Computer Science, Vol. 17, Issue 12 · 31 Dec 2021 · 6,598 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Systematic Literature Review for Implementing Data Ops in the Data Warehouse Lifecycle during the ETL PhaseAhmed Bahaa, Sherif Ragab Eldemerdash, Hanan FahmyNowadays, no one can deny the importance of Data Ware House (DWH) in all organizations. The most important components in Data Ware House (DWH) are the Extraction, Transformation, Loading (ETL) phase. Data cleaning is a basic piece of the transformation stage in Data Warehousing. This may affect critical activities such as data collection and decision-making in various organizations Data Ops … …Journal of Computer Science, Vol. 17, Issue 11 · 10 Nov 2021 · 7,547 accessesView PDFCite