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448 articles for “Research Impact”

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Research ArticleOpen accessIn the abstractComparative Studies on Development History of Chinese Diasporic Media in the WestJack Kangjie LiuThis study compares and presents the similarities in the development of Chinese diasporic media in Western countries, especially focusing on the influence of the Chinese diaspora and the homeland political economy, from the past to the present. An investigation was conducted on the research sample-the Chinese diaspora and diasporic media in Australia and New Zealand through documentary and field research. … …American Journal of Applied Sciences, Vol. 19, Issue 1 · 16 Mar 2022 · 7,669 accessesView PDFCite
Research ArticleOpen accessIn the abstractInfluence of E-Service Quality Dimensions on Repurchase Intention for Digital Products: The Role of Satisfaction and Trust Among Young Consumers in Chattogram City, BangladeshMohammad Toufiqur Rahman, Ashfia Khan Ema, Muhammad Abdul AhadThis study aims to analyze the digital product marketplace in Chattogram, Bangladesh by investigating the influence of e-service quality dimensions, namely reliability, responsiveness, security, and convenience, on mobile-first young consumers' satisfaction, trust, and repurchase intention. Using repurchase intention as a primary indicator of digital loyalty, the study contributes to existing literature by considering theories such as the Expectancy-Confirmation Theory, Relationship … …Journal of Computer Science, Vol. 22, Issue 8 · 18 Aug 2026 · 1,651 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnxiety-Focused Classification Using Smartphone-Based Gait Analysis and Deep Learning ModelsMinchan Kang, Gou-Sung Degbey, Hyunhwa Lee et al.Mood disorders, such as anxiety, significantly impact individual well-being and present challenges to healthcare systems globally. Traditional screening methods, including self-administered symptom questionnaires, provide valuable insights into symptoms but may miss dynamic fluctuations. This study explores the potential of smartphone inertial sensors and deep learning models for anxiety risk classification. Using gait data from 36 participants, collected via smartphone accelerometers … …Journal of Computer Science, Vol. 22, Issue 7 · 16 Jul 2026 · 826 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtension Model Based on Farmers’ Resources and Need to Improve Feed Technology AdoptionAgustina Abdullah, Indrawirawan IndrawirawanFeed technology is essential for improving beef cattle productivity, yet its adoption by farmers often remains partial and misaligned with their actual needs. This study aimed to develop a context-responsive agricultural extension model to enhance the adoption of feed-related innovations among beef cattle farmers. The research was conducted in Herlang and Bulukumpa Districts, Bulukumba Regency, South Sulawesi, Indonesia. Using a … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 1 · 5 May 2026 · 1,476 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 · 1,667 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 · 1,900 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Sweet Corn Growth and Yield through the Integrated Application of Bioneensis Biofertilizer and Rice Husk BiocharSumihar Hutapea, Saipul Sihotang, Adi Fathul Qohar et al.Sweet corn is an essential agricultural product in Indonesia and contributes to national food security. Consequently, numerous strategies can be implemented to increase the yield of sweet corn, such as intensified fertilization. While organic fertilizers like biofertilizers and biochar have shown potential to enhance crop growth, their combined effects on sweet corn, particularly under Indonesian conditions, are understudied. This study … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 6 Feb 2026 · 1,932 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 · 2,813 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Empirical Investigation of the Pollution Haven-Halo Nexus in Eastern and Southern AfricaPaul KauluThis study looks into the relationship between trade and pollution in Eastern and Southern Africa from 1977 to 2016. This timeframe is particularly relevant as it was marked by rising CO₂ emissions despite major climate agreements such as the Kyoto Protocol (1997), Reducing Emissions from Deforestation and Forest Degradation (REDD+, 2007), as well as the Paris Agreement (2015). Using time-series … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 28 Jan 2026 · 2,924 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing a Hybrid Parallel Framework Utilizing Machine and Deep Learning for Rapid Rumor Detection in Social MediaNeetu Rani, Amit Kumar Bhardwaj, Shaily Jain et al.Numerous businesses have faced significant repercussions due to the widespread dissemination of false information and rumors across social media platforms. The impact of fake news extends to tarnishing public perception, damaging corporate reputations, disrupting communities, undermining governmental integrity, exposing companies to risks, and posing a grave threat to social cohesion. This research article delves into the endeavours of prominent researchers … …Journal of Computer Science, Vol. 21, Issue 12 · 27 Jan 2026 · 1,819 accessesView PDFCite