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Research ArticleOpen accessIn the keywordsInvestigating Individuals' Intention to be Involved in Knowledge Management ProcessM. J.M. Razi, N. S.A. KarimProblem statement: Implementation of Knowledge Management (KM) process in organizations is considered as essential to be competitive in the present competitive world. Though the modern KM practices highly depend on technology, individuals (‘organizational members’) intention to be involved in KM process plays a major role in the success. Hence, the evaluation of individuals’ intention is deemed as significant before the … …American Journal of Economics and Business Administration, Vol. 3, Issue 3 · 15 Sep 2011 · 7,388 accessesView PDFCite
Research ArticleOpen accessIn the abstractResistance to Brown and Stem Rust in Spring Soft Wheat Varieties in the Arid Climate of Northern KazakhstanAdylkhan Babkenov, Sandukash Babkenova, Svetlana Dashkevich et al.To create competitive wheat varieties, it is essential to make active use of the world's diversity of genetic resources. The study aims to test the genetic resources of spring soft wheat for resistance to rust diseases. A spring soft wheat collection consisting of 206 samples, was studied in 2020-2022 for resistance to leaf and stem rust, as well as for … …OnLine Journal of Biological Sciences, Vol. 23, Issue 4 · 28 Aug 2023 · 5,023 accessesView PDFCite
Research ArticleOpen accessIn the abstract4D Printing: Technology Overview and Smart Materials UtilizedAntreas Kantaros, Theodore Ganetsos, Dimitrios Piromalis4D printing is a cutting-edge technology that allows for the creation of dynamic, self-assembling structures by utilizing cutting edge, newly introduced smart materials. It builds upon traditional 3D printing by adding the dimension of time, allowing printed objects to change shape or behavior over time. This is achieved through the use of smart materials, such as shape memory alloys or … …Journal of Mechatronics and Robotics, Vol. 7, Issue 1 · 13 Mar 2023 · 14,196 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring the Role of Immune Complexes in Essential HypertensionIvan MilosevicEssential hypertension is a rise of arterial blood pressure whose etiology is unknown. Immune complexes are complexes created by the binding of an antibody to the antigen. They are also called circulating immune complexes because of its precipitation in peripheral blood vessels, commonly on the places of their bifurcation and the places of higher blood pressure (glomerules of kidney or … …American Journal of Immunology, Vol. 18, Issue 1 · 2 Nov 2022 · 9,974 accessesView PDFCite
Review ArticleOpen accessIn the abstractRRDTool: A Round Robin Database for Network MonitoringManmohan Singh, Sweta Dargada, Hemant Mewada et al.RRDtool is a circular database that stores time series data. RRD tool assumes time-variable data inintervals of a certain length. An interval is named as a step, and specifiedupon creation of an RRD file which cannot be changed afterward. Because datamay not always come at just the right time, RRD tool will automaticallyinterpolate any submitted data. This is done to … …Journal of Computer Science, Vol. 18, Issue 8 · 27 Aug 2022 · 8,350 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Crow Search Optimization Based Feature Selection With Optimal DNN for Big Data ClassificationC. Mahesh, J. Ruby Elizabeth, S. Gnana Selvan et al.Big data analytics has become popular due to its applicability in various real-time applications. To attain better performance, big data can be analyzed using the machine learning and deep learning models at recent times, various domains have started to deal with big dataset which involves numerous sets of features. Repetitive and unwanted features, which reduces the classification performance can be … …Journal of Computer Science, Vol. 22, Issue 6 · 30 Jun 2026 · 1,244 accessesView PDFCite
Research ArticleOpen accessIn the abstractConvergence of GenAI and RPA: A Digital Heaven in Supply Chain Optimization ProcessSaurabh A. Pahune, Zahid Akhtar, Manoj Chandrasekharan et al.One of the most groundbreaking advances in the field of intelligent automation is the merging of Generative Artificial Intelligence (GenAI) and Robotic Process Automation (RPA). This combination unlocks previously unachievable capabilities in automation. RPA (software bots) improves speed and operational efficiency by automating rule-based tasks, Standard Operating Procedures (SOPs), and repetitive workflows. At the same time, it minimizes manual labor … …Journal of Computer Science, Vol. 21, Issue 12 · 8 Feb 2026 · 2,040 accessesView PDFCite
Review ArticleOpen accessIn the abstractEvaluation of the Factors Contributing to Broiler Meat and Functional Quality a Systemic ReviewHlulani Ndlovu, Karen Munhuweyi, Fhulufhelo Vincent Ramukhithi et al.In South Africa, the poultry sector is industry is essential because it promotes equitable, sustainable economic growth and employment creation. Chicken meat is often preferred for further processing, especially in regions where pork consumption is limited due to cultural or dietary reasons. Literature databases such as Web of Science and Scopus databases while the Google search engine from 1982-2024 were … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 26 Jan 2026 · 2,334 accessesView PDFCite
Research ArticleOpen accessIn the abstractUnveiling the Performance: A Comparative Study of HMAC and RSA Encryption on SHA-512Louis Leonardo, RojaliThe study evaluates critical operations including token signing, verification, and decoding, as well as data transfer efficiency, utilizing the jsonwebtoken library. By benchmarking these operations, we provide insights into the trade-offs between symmetric (HMAC) and asymmetric (RSA) encryption methods, highlighting their impact on performance and security. The results serve as a guideline for developers to make informed decisions when choosing … …Journal of Computer Science, Vol. 21, Issue 12 · 22 Jan 2026 · 1,788 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Fractal Fusion Driven Deep Neural Network: An Efficient Hybrid Methodology for Disease Detection and Classification in Plant LeavesDeepkiran Munjal, Mrinal Pandey, Laxman SinghPlant diseases and pest attacks are among the major issues in agriculture, which have a great impact on crop growth and yield. Early and correct detection of these diseases is vital for effective management and keeping plant health at the desired level. This research proposes a new method for detection and classification of plant diseases, the Optimized Fractional Fusion Deep … …Journal of Computer Science, Vol. 21, Issue 12 · 8 Jan 2026 · 2,223 accessesView PDFCite