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254 results for “Impact Test”
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Research ArticleOpen accessIn the abstractSeasonal Pattern of Varroa Mite Infestation and Its Impact on Honey Production in Apis mellifera Beekeeping in Chitwan, NepalSujan Amgai, Kedar DevkotaHoneybee colony health and productivity are severely affected by infestations of Varroa mites, which have become one of the most significant threats to apiculture due to their role in colony weakening, reduced productivity, and increased colony losses worldwide. The study was conducted in Chitwan district to assess beekeepers’ perceptions on mite infestation in different seasons, its effect on honey production, … …American Journal of Agricultural and Biological Sciences, Vol. 21, Issue 1 · 14 Aug 2026 · 1,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring University Students' Perceptions of AI Tools in Programming Education: An Extended TAM ApproachAreej Abdullah AlfuhaidGenerative Artificial Intelligence (AI) is commonly used in programming education. Tools such as ChatGPT and GitHub Copilot aid in code generation, debugging, and explanation. The benefits are clear, though concerns about learning quality and academic integrity persist.We tested an extended Technology Acceptance Model (TAM) for university programming courses. The model included perceived usefulness and perceived ease of use. It added … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 2,061 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Agritechnologies on the Biomass and Nutritional Parameters of Crops: A Study of Corn, Soybean, and Pea in Southeast KazakhstanGulvira Yessenbayeva, Aruzhan Ilyas, Serik Kenenbayev et al.The study investigates the impact of various agritechnologies on the biomass and nutritional parameters of corn, soybean, and winter pea cultivated in Southeast Kazakhstan. This research is particularly relevant given the significant challenges facing agriculture in Kazakhstan, including soil degradation, reduced arable land, and the need for sustainable farming practices. Organic and traditional farming methods were evaluated for their effectiveness … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 16 Feb 2026 · 1,600 accessesView PDFCite
Research ArticleOpen accessIn the abstractWest African Emerging Economies: Comparative Insights on Ghana’s and Nigeria’s Stock Market DevelopmentFisayo Fagbemi, John Oluwasegun AjibikeThe study examines the long-run and causal relationship between stock market development and West African emerging economies in a comparative context of Ghana and Nigeria. Based on Autoregressive Distributed Lag (ARDL) bounds test approach, the findings support the evidence of long-run cointegration between stock market development and economic growth in Ghana, whereas further evidence reveals an insignificant positive long-run impact … …American Journal of Economics and Business Administration, Vol. 14, Issue 1 · 2 Dec 2022 · 6,548 accessesView PDFCite
Research ArticleOpen accessIn the abstractTesting Composite Valve Covers for Reciprocating Engine ApplicationsPeng Hao Wang, Natalie ZimmermannThe use of composites within the aeronautical field is not limited to airframe applications and includes powerplant components in reciprocating engines. To add to the research body in this area, the presented work aimed to evaluate the performance of novel carbon fiber valve covers installed on an aircraft reciprocating engine. Specifically, the comparative performance between novel composite-based valve covers and … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 3 · 12 Aug 2022 · 5,836 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Active Learning Ensemble Framework for Tropical Crop Yield PredictionAmol Bhilare, Debabrata Swain, Megh Patel et al.Agriculture always has great importance among all different sectors, not only in the world but also in India. It has a significant impact on food security and largely controls the economy. At present, technological advancements have significantly enhanced agricultural productivity, but it can still be further improved by the integration of new cutting-edge techniques like Artificial intelligence. Among the factors … …Journal of Computer Science, Vol. 22, Issue 9 · 11 Sep 2026 · 819 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,021 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of a Machine Learning Based Mobile and Web Crop Recommendation System for Precision Farming in WardhaAishwarya Kadu, KTV ReddyAgricultural productivity is crucial for economic growth of a nation, especially for countries like India which is highly dependent on agriculture. This study addresses the need for cutting-edge technology to enhance crop productivity by proposing a Mobile/Web-based precision farming system. Leveraging Machine Learning (ML) algorithms, the proposed system recommends optimal crops based on several factors such as environmental parameters (Nitrogen … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,660 accessesView PDFCite
Research ArticleOpen accessIn the abstractTime Series Analysis for Predicting Tea Harvest Yield: A SARIMAX-Based ApproachPallavi Nagpal, Deepika Chaudhary, Jaiteg SinghPrecise prediction of tea yield is crucial for both agricultural planning and economic forecasting. Projection of the future trends, which rely on present and historical data, is the process termed 'forecasting'. Yield prediction is fundamental for research and development. By gathering the yield data over historic times, the researchers can make their work more valuable by predicting the yield patterns. … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,891 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Surface Microhardness and Antimicrobial Activity of Conventional and Bioactive Composite Materials for Dental RestorationsBruno Fongaro Dalbosco, Rafael da Silva Vanolli, Poliana Maria de Faveri Cardoso et al.This study evaluated the fluoride release capability, antimicrobial activity, and surface microhardness of bioactive composite resins, critical properties for the effectiveness and durability of dental materials in restorative procedures. Conventional and bioactive composite resins with varying viscosities were tested. Specimens of each resin type were prepared and stored in physiological saline solution for 24 hours to simulate oral conditions. Surface … …Current Research in Dentistry, Vol. 16, Issue 1 · 29 Jan 2026 · 2,809 accessesView PDFCite