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380 results for “chain”
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Research ArticleOpen accessEvery word in the titleEmpowering Small Language Models With Chain of Thought and Parameter Efficient Fine Tuning for Efficient Deep ReasoningAryan Raina, Shiwani Gupta, Jagruti Jadhav et al.Small Language Models (SLMs) run faster and fit on modest hardware, yet solving multi-step logic problems has traditionally been difficult for them. This work investigates a systematic, multi-model framework that combines Chain-of-Thought (CoT) prompting with Low-Rank Adaptation (LoRA) parameter-efficient fine-tuning, and measures the contribution of each component independently. We evaluate three SLMs (TinyLlama-1.1B, Phi-3-mini-4k-instruct, and Qwen2.5-1.5B) using 1,164 training samples … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 862 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Chain Mediating Role of Technology Self-Efficacy and Attitudes in Online Learning EnvironmentsJie Gao, Dolores D. Borras, Beverly T. CaigaThis study investigates the mediating role of technology self-efficacy and attitudes in online learning environments among university students. Specifically, we examined how students' technology self-efficacy, attitudes toward online learning, and perceptions of course appropriateness influence online learning outcomes. Data were collected via questionnaire survey from students enrolled in public and private universities (N = [specify number]). Structural equation modeling with … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 16 Feb 2026 · 1,601 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleConvergence 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
Research ArticleOpen accessEvery word in the titlePredictive Analytics and Procurement Visibility: A Big-Data-Driven Approach to Customer Satisfaction in Supply Chain ManagementDevendra Nath Pathak, Rakesh Kumar Yadav, Hitendra SinghIn the current dynamic and consumer driven market environment, supply chains need to move out of reactive to the proactive ecosystems. One of the most urgent requirements is increasing procurement visibility and the development of better order planning for the inventory to meet the products’ demand with continued high customer satisfaction. This paper is an agenda of big-data-driven predictive analytics … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,442 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalysis of the Utility of MPT64, Drug Susceptibility Testing and Tuberculosis/Nontuberculous Mycobacteria Reverse Transcription Polymerase Chain Reaction for Tuberculosis Diagnosis and Efficiency Compared with Traditional CultureHo Keun Choi, Ga Yeon Kim, Tae Soung Kim, Jae Kyung KimDefining the molecular mechanisms underlying the dormant state of Mycobacterium tuberculosis (MTB) is essential for developing more effective treatments for tuberculosis (TB) infection. We investigated the positivity and resistance rates of TB tests on 6,174 samples referred to a single hospital. Of these, 342 cases (5.5%) were confirmed as positive by acid-fast bacilli staining, 243 cases (71.1%) were detected as … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 5 Dec 2024 · 4,206 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGlobal Supply Chain: Enhance Production Cost Efficiency Through Machine LearningLoubna Moumeni, Mohammed SaberMachine learning has enabled the discovery of various disciplines and patterns in Supply Chain Management (SCM). The entire industrial sector is striving to harness the contextual intelligence provided by machine learning by exploring new areas within the supply chain network. This article delves into Supply Chain Management (SCM) and its broader implications beyond logistics. SCM involves the resources, methods, and … …Journal of Computer Science, Vol. 20, Issue 9 · 14 Jun 2024 · 5,316 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleConstraints to Rural Women Involvement in Cassava Value Chain in NigeriaAkaninyene Patrick Obot, Obiekwe Ngozi, Anunobi Chizoba et al.Cassava is one of the fastest expanding staple food crops in cassava-consuming countries and has continued to gain prominence among farmers while the industrial demand is also rising consistently. The study was carried out with the intention of examining rural women's involvement in various cassava value chain activities and identifying the factors that hinder their active involvement in cassava value … …American Journal of Economics and Business Administration, Vol. 15, Issue 1 · 19 Apr 2023 · 6,543 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalysis of the Rural Youth Engagement in IFAD Value Chain Development as a Panacea to Unemployment in Southeast NigeriaOkeke Chinyere, Obianefo Chukwujekwu, Nwigwe Cecilia, Obot AkaninyeneAnalysis of the rural youth engagement of IFAD value chain development program as a panacea (way-out) to unemployment in Southeast, Nigeria was the main aim of the study. The socioeconomic characteristics, value chain interventions, readiness of the youth to implement the skills acquired and factors hampering the youths’ readiness to implement the skills acquired were looked into. The data was … …American Journal of Agricultural and Biological Sciences, Vol. 17, Issue 1 · 2 Nov 2022 · 6,376 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleData Clustering-based Metaheuristic for Physical Internet Supply Chain NetworkAbdelsamad Chouar, Samir Tetouani, Aziz Soulhi, Jamila ElalamiIn this study, a data clustering-driven technique is proposed for a Physical Internet Supply Chain Network (PI-SCN) to reduce data complexity, process time compression, and lankness of process optimization. Given a set of data points, a clustering algorithm aims to classify each data-points into a specific group. Each group should have similar properties and/or features, while data points in different … …Journal of Computer Science, Vol. 18, Issue 4 · 21 Apr 2022 · 6,472 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproved Meta-Heuristic for Multi-Objective Integrated Procurement, Production and Distribution Problem of Supply Chain Network Under Fuzziness UncertaintiesKaoutar Douaioui, Mouhsene Fri, Charif Mabrouki, El Alami SemmaIn this study, we devoted a design under uncertainty of a supply chain network composed of multiple suppliers, multiple plants, multiple distributors and multiple customers. The proposed model is a bi- objective mixed integer linear programming which consider several constraints and optimize the total costs including the procurement, production, storage and distribution costs as well as maximize on-time deliveries. In … …Journal of Computer Science, Vol. 17, Issue 12 · 27 Dec 2021 · 6,625 accessesView PDFCite