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253 articles for “five”
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Efficacy and Efficiency of Fingerprint Powder Derived from Natural Flowers – Development and Evaluation of Sustainable Fingerprint Powders
Abstract: Fingerprints are crucial elements in forensic investigations. Latent or invisible fingerprints are commonly recovered from the scene of crime and hence require an attention for which visualization methods are needed. Conventional methods are relatively expensive, which may cause harmful threats and health hazards due to presence of chemical content. This study offers a cheap and sustainable fingerprint powder sourced from natural materials. In this study the powders were prepared from …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 3, 2025 · pp. 6–17 Read article
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A Literature Survey on Biological Activities of Thiazolidine Derivatives
Abstract: Hetercyclic compounds play a vital role in both chemical and life sciences. Among them ,thiazolidinone represent a significant class, characterized by a five- membered saturated ring containing both sulfur and nitrogen atoms. Structurally, thiazolidinones are derived from thiazole, with sulfur position at the 1-position, nitrogen at the 3-position , and a carbonyl group typically located at the 2-, 4-, or 5- position are possible, though structural and functional diversity is …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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Intelligent Management of Construction Projects: The Nexus of Human and Artificail Expertise
Abstract: Conversations about digitalization and artificial intelligence (AI) have continued to gain traction in the project management discourse. Although human expertise remains the hallmark of professionalism in the construction industry, AI has emerged as the newest wave of digital technological innovation, which can significantly elevate human productivity in the performance of project management functions. However, for project management professionals in the Nigerian construction industry, the potential of AI is both thrilling …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 16–24 Read article
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Reading Habits of Research Scholars in ICT Environment with Special Reference to Universities of Bihar: A Survey
Abstract: Reading is a fundamental activity for research scholars, as it underpins their engagement with the existing body of knowledge in their respective fields. Reading habits are influenced by various factors and offer a wide range of benefits. However, challenges exist in today's digital age. Promoting reading habits requires collaborative efforts and tailored strategies. By understanding the influences, benefits, and challenges associated with reading habits, educators, policymakers, and individuals can work …
Published in Journal of Advancements in Library Sciences · Vol. 11, Issue 2, 2024 · pp. 12–18 Read article
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Enhancing Data Processing and Storage in Computing Environments: A Survey on the Use of NVMe SSDs
Abstract: In the current era of fast pace technological growth, the efficiency of data processing and storage systems has become a key factor of various computing environments. This survey explores the transformative role of Non-Volatile Memory Express (NVMe) Solid-State Drives (SSDs) across different domains, including Big Data processing, Cloud Computing, High Performance Computing (HPC), and containerized applications. The motivation behind this comprehensive review is to understand how NVMe SSDs, known for …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 3, 2025 · pp. 01–21 Read article
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Evaluation of Mammographic Breast Density in Benign and Malignant Breast Disease Patients
Abstract: The purpose of the study was to compare the breast density in benign breast disease and carcinoma of the breast and to evaluate the association between breast density and the Breast Imaging Reporting and Data Systems (BIRADS) score to investigate the potential of breast density as a prognostic indicator. In this study, histologically proven cases of 30 benign breast disease patients and 30 breast carcinoma patients were included. Breast density …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 Read article
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The Assessment of Electric Vehicle Fire Risk Using the Failure Tree Analysis
Abstract: With the global shift toward sustainable transportation, the widespread adoption of electric vehicles (EVs) is rapidly becoming a reality, largely driven by growing environmental awareness and concerns over climate change. However, alongside this transition comes a set of emerging challenges, most notably, the increasing incidence of EV-related fire hazards, which have attracted significant public and media scrutiny. This situation highlights the urgent need for a detailed and systematic approach to …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 2, 2025 · pp. 27–38 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article
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Configuration and Properties of Group III Elements in the Periodic Table
Abstract: Group III elements comprise those found in the third column of the periodic table, including boron, aluminum, gallium, indium, and thallium. These elements possess three valence electrons in their outermost shell, characterized by the electron configuration ns2np1, which influences their location and characteristics within the periodic table. The distribution of electron pairs, formal charges, oxidation states, and molecular morphologies of Group III elements and their compounds are illustrated in this …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 2, 2025 · pp. 23–30 Read article
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Continuous Commissioning Techniques for Ground Source Heat Pumps: Review
Abstract: This study offers a model-based continuous commissioning methodology to find control-related performance gaps in HVAC systems with ground-source heat pumps. Traditional continuous commissioning is still helpful in finding energy performance gaps, even if MBCCx employs a system model as a reference to find operational inefficiencies and control issues arising from subsystem integration. A calibrated physics-based model that depicts the system performance as intended during the design phase forms the basis …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 3, 2025 · pp. 22–36 Read article
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Assessing Nanomaterial Toxicity and Environmental Behavior: Toward Sustainable and Safe Nanotechnology
Abstract: The rapid advancement of nanotechnology has introduced engineered nanomaterials into diverse sectors including medicine, agriculture, electronics, and consumer products. However, the unique physicochemical properties that make nanomaterials valuable also raise significant concerns about their potential toxicity to human health and ecological systems. This study presents a comprehensive survey-based analysis of 400 respondents from diverse professional backgrounds across seven countries to assess perceptions and understanding of nanomaterial toxicity mechanisms and environmental …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 1, 2025 · pp. 1–11 Read article
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Evaluation of Critical MMAW Welding Defects Using Computer Simulation in Industrial Manufacturing Systems
Abstract: Manufacturing is one of the key sectors of any countries GDP and welding is one of the prime manufacturing processes of the manufacturing sector. Welding has several notable advantages over mechanical joining techniques, including higher structural integrity, design flexibility, and cost and weight lowers. Welded products/structures are subjected to serious issues of residual stresses and distortions. The performance and sturdiness of the welded structures are severely impacted by weld remaining …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 18–26 Read article
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A Systematic Review on The Role of Artificial Intelligence in Assisted Reproductive Technology
Abstract: Artificial Intelligence (AI) has significantly transformed Assisted Reproductive Technology (ART) over the past five years, enhancing diagnostic accuracy, treatment personalization, and overall success rates. AI-driven algorithms and machine learning models have been integrated into various aspects of ART, including sperm selection, embryo grading, and predicting implantation success. Deep learning techniques have improved image-based embryo assessment, reduced human subjectivity and increased efficiency. Additionally, AI-powered predictive analytics have helped optimize ovarian stimulation …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Hybrid Epoxy Composites with Areca and Abaca Fibers: Effect of Nano-SiO₂ on Mechanical Properties
Abstract: This study explores the fabrication and mechanical evaluation of sustainable epoxy-based hybrid composites reinforced with Areca fiber (ARF), Abaca fiber (ABF), and nano-silica (SiO₂). The composites were made using a hand layup process, maked five variants (S1–S5) with ARF content ranging from 0–40 wt% and nano-silica content from 0–8 wt%, while maintaining ABF as the primary reinforcement. Mechanical performance was assessed through tensile strength (TS), flexural strength (FS), and impact …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 606–613 Read article
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Assessing the Effectiveness of New Fungicides Against Potato Late Blight Disease (Phytophthora Infestans)
Abstract: An experiment was conducted in the field of the Plant Pathology Division, Regional Agricultural Research Station (RARS), Bangladesh Agricultural Research Institute (BARI), Jamalpur, Bangladesh during the rabi season of 2024–2025 to determine the appropriate chemical fungicide for controlling late blight disease of potato. The evaluation included twenty-five new fungicides approved by the Pesticide Technical Advisory Committee (PTAC), Bangladesh, along with a standard control (Ridomil Gold MZ 68 WG) and an …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 28–38 Read article
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Physiographic, Climatic, and Hydrogeological Determinants of Urban Flooding in Bhopal: A Spatial Assessment
Abstract: Bhopal, capital city of Madhya Pradesh, is uniquely shaped by hilly terrain, lake systems, and complex hydrogeological characteristics, which historically supported efficient natural drainage. However, rapid urbanization, encroachment, and alterations in land use have increasingly disrupted these natural systems, amplifying the city’s susceptibility to urban flooding. The city’s physiography, defined by five major hills, undulating slopes, and a network of natural drainage channels, directs runoff toward low-lying zones that frequently …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 25–32 Read article
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Immunological Biomarkers and Epidemiological Evaluation of Lymphatic Filariasis Elimination Efforts in Osun State, Nigeria
Abstract: Lymphatic filariasis (LF) remains a neglected tropical disease affecting millions globally, despite extensive elimination efforts. While the interruption of transmission is a key goal, the long-term immunological effects on individuals with existing complications like elephantiasis remain poorly understood. This study assessed the current transmission status of LF and the haematological profiles of infected individuals across selected Local Government Areas (LGAs) in Osun State, Nigeria. A total of 7,388 individuals from …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 1, 2026 · pp. 22–30 Read article
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Performance Evaluation of Oat (Avena sativa) Varieties for Growth, Yield, and Yield Components in Southwest Ethiopia
Abstract: The improved feed shortage is main bottleneck of livestock production and productivity in southwest Ethiopia. Hence, the study was conducted in Southwest Ethiopia in Kaffa zone Gimbo district in 2017 and 2018 cropping seasons to identify the adaptable and high yielding oat variety (s). The trial consisted of five oat varieties (CI-8250, CI-8237, CI-2291, CI-2806 and ICARDA 6710) which were laid out in randomized complete block design with three replications. …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 13–18 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article