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168 articles for “LIBs”
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Open Source Software Empowering Artificial Intelligence, Machine Learning, and Cyber Security: A Comprehensive Research Study
Abstract: Open Source Software (OSS) has become a foundational pillar for rapid innovation across Artificial Intelligence (AI), Machine Learning (ML), and Cybersecurity. This paper delivers a comprehensive, journal-length analysis of OSS-driven ecosystems, emphasizing collaborative development, transparency, and accelerated deployment. By providing freely available libraries, tools, and frameworks, OSS makes it easier for developers and researchers to experiment, build models, and deploy solutions quickly. This study examines how OSS can be combined …
Published in Journal of Open Source Developments · Vol. 13, Issue 1, 2026 Read article
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Effectiveness of Evidence-Based Pediatric Nursing Practices on Clinical and Developmental Outcomes in Children: A Comprehensive Systematic Review
Abstract: Evidence-based pediatric nursing practices are essential for improving health outcomes among children by integrating clinical expertise with the best available research evidence and patient-centered care approaches. This systematic review examines the effectiveness of evidence-based pediatric nursing interventions on clinical and developmental outcomes in children across various healthcare settings. A comprehensive search of databases including PubMed, CINAHL, Scopus, and the Cochrane Library was conducted for studies published between 2016 and 2026. …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 4, Issue 1, 2026 Read article
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Integrated DIPlib and OpenCV Framework for Precise Geometric Characterisation of Woven Fibre-Reinforced Polymer Composites
Abstract: The mechanical properties of woven fibre-reinforced polymer (FRP) composites stem entirely from the geometrical regularity inherent in their reinforcement structure. Changes in the size of the unit cell, fibre tow separation, weave angle, and fibre tow spacing will have an immediate effect on the stiffness and shear modulus of the material. In this paper, a combined machine vision system that incorporates both the OpenCV and DIPlib libraries is proposed for …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 158–171 Read article
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From Humours to Metabolism: An Integrative Review of Obesity Management in Unani Medicine
Abstract: Unani Medicine, a traditional complementary and alternative medicine (CAM) system, adopts a holistic, temperament-based approach to disease prevention and management. In classical Unani literature, obesity is described as Simān-e-Mufriṭ, a pathological condition arising from humoral imbalance, particularly the predominance of phlegm (Balgham) and derangement of temperament (Su’-e-Mizāj), most commonly of a cold and moist nature. This condition is attributed to a sedentary lifestyle, weakened digestive and metabolic faculties, and excessive …
Published in International Journal of Nutritions · Vol. 3, Issue 2, 2026 Read article
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Improving Dataset Integrity Through Automated Data Cleaning Techniques
Abstract: High-quality data is a fundamental requirement in data science for producing trustworthy analytical insights and effective machine learning models. Problems, including incomplete records, inconsistent entries, duplicate observations, and anomalous values, can severely reduce the accuracy and robustness of predictive systems. As modern datasets continue to expand in both volume and structural complexity, relying on manual data cleaning methods become time-consuming and error-prone, highlighting the growing importance of automated data preprocessing …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 40–45 Read article
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Institutional Engagement with Indigenous Knowledge: A Global Scientometric Analysis
Abstract: This study provides a comprehensive global scientometric analysis of institutional engagement with Indigenous Knowledge (IK) research from 1992 to 2025. It seeks to chart the transition from traditional preservation to contemporary digital curation and identify key geopolitical and disciplinary shifts. A corpus of 304 peer-reviewed publications was retrieved from Scopus. The study utilized science mapping via VOSviewer and performance metrics through the R-package Bibliometrix to assess longitudinal changes and thematic …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 55–69 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article
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Real-Time System Monitoring and Resource Optimization Using Shell Scripts in UNIX/Linux Environments
Abstract: Real-time system monitoring is a fundamental aspect of system administration in UNIX/Linux environments, as it ensures optimal system performance, reliability, and continuous availability of services. In modern computing infrastructures, systems are expected to operate efficiently under varying workloads, and any degradation in performance, such as CPU overload, memory exhaustion, disk bottlenecks, or network congestion, can significantly impact user experience and system stability. Regular observation and prompt action are crucial for …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 08–15 Read article