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136 articles for “Analytical Methodology”
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High-Energy Astrophysics: Exploring the Extreme Universe Through Radiation, Relativistic Phenomena, and Cosmic Cataclysms
Abstract: High-energy astrophysics is a fast-developing area of astrophysical research dedicated to exploring the universe’s most powerful and extreme events. It involves investigating dense and energetic cosmic objects and phenomena, including black holes, neutron stars, supernova remnants, gamma-ray bursts, and active galactic nuclei. These sources emit radiation predominantly in the X-ray and gamma-ray regions of the electromagnetic spectrum and are often associated with high-energy particles, including cosmic rays and neutrinos. Investigating …
Published in International Journal of Universe · Vol. 2, Issue 1, 2026 · pp. 10–15 Read article
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Implementing Quality by Design (QbD): Strategies, Challenges, and Best Practices across Industries
Abstract: The present comprehensive review investigated the dynamic landscape of quality standards within the pharmaceutical sector, with a primary focus on the implementation and impact of Quality by Design principles. It illuminated the multifaceted challenges encountered by pharmaceutical companies in upholding stringent quality standards amidst evolving regulatory requirements and complex manufacturing processes. By embracing Quality by Design principles, the industry aims to foster a proactive and systematic approach to product development …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 28–36 Read article
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Optimization of Pesticide Requirement Calculations for IoT-Operated Hexacopter Delivery Systems
Abstract: The integration of Internet of Things (IoT) technology into precision agriculture has transformed pesticide application strategies, enabling resource-efficient and environmentally sustainable practices. This study presents a computational methodology for optimizing pesticide requirements in an IoT-operated hexacopter system, designed for dynamic, data-driven pesticide delivery. Leveraging a fusion of real-time telemetric data from onboard LiDAR, multispectral imaging sensors, and environmental monitoring modules, the system employs predictive analytics and edge computing to calculate …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 08–14 Read article
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Characterization and Optimization of Neem Leaves and Moringa Seed Husk-based Composite Activated Carbon for Efficient Adsorption of Methylene Blue Dye
Abstract: The research in question was meticulously conducted within the premises of the Nigerian Liquefied Gas (NLG) Engineering laboratory, situated at the esteemed University of Maiduguri, Nigeria. This study focuses on the development and characterization of a composite material derived from neem leaves (NL) and Moringa seed husk (MSH) to adsorb methylene blue (MB) dye effluent. The synthesis process involved pyrolyzing MSH and NL at 400°C to produce MSH and NL …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 13, Issue 3, 2023 · pp. 12–22 Read article
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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Integrated Microfluidic Platform for Accelerated Catalytic Analysis: Enhancing Sensitivity and Efficiency
Abstract: In this study, we introduce a groundbreaking advancement in microfluidic technology tailored for catalytic and catalytic analysis. Our innovative microfluidic device integrates novel features aimed at augmenting sensitivity and accelerating analysis while ensuring reliability and user-friendliness. The hallmark of our device is the fusion of sample preparation and analysis functionalities within the microfluidic chip. By embedding sample preconcentration and purification modules, we achieve remarkable enhancements in sensitivity and detection limits. …
Published in Journal of Catalyst & Catalysis · Vol. 10, Issue 2, 2023 · pp. 51–27 Read article
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Assessment of Fire Resistance of Offshore Structures under Special Environmental Loads: Emphasizing Structural Integrity and Safety Measures for Extreme Conditions
Abstract: Offshore structures are exposed to a myriad of environmental challenges, including high temperatures and fire hazards, necessitating robust fire resistance measures to ensure structural integrity and the safety of personnel and facilities. This study aims to evaluate the fire resistance of offshore structures under special environmental loads, with a focus on the structural integrity and safety measures in place to withstand extreme conditions. The research methodology includes a comprehensive review …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 1, 2024 · pp. 1–9 Read article
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Website Usability Using AI
Abstract: This article introduces a comprehensive framework that leverages artificial intelligence (AI), automated tools, and APIs to enhance the evaluation of website usability. The proposed framework integrates AI-driven models with traditional usability assessment techniques to create a more dynamic and effective evaluation process. Specifically, it utilizes Google Lighthouse to conduct in-depth audits on website performance, search engine optimization (SEO), and accessibility. Additionally, chatbot APIs are incorporated to gather real-time user feedback, …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 19–27 Read article
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Studies of Mathematics: A Review of Research Trends, Themes and Implications
Abstract: This review examines contemporary research trends, thematic developments, and emerging implications within the field of mathematics education and mathematical studies. Drawing on a synthesis of recent scholarly literature, it explores how mathematics as both a discipline and a pedagogical practice continues to evolve in response to technological advancements, interdisciplinary applications, and changing educational paradigms. Major research trends reveal a growing emphasis on problem-based learning, mathematical modeling, and the integration of …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 19–24 Read article
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Knowledge, Attitude and Practices of Infant and Young Child Feeding among Mothers/Caregivers Tigray, Ethiopia
Abstract: Background: Foetal life and early childhood years are the phases when growth and development are maximum, coinciding with a period of great vulnerability to sub-optimal environment. Nutrition during the entire life cycle is a key driver of growth and development. Children <2 years are the most vulnerable segment of the community. Appropriate evidence-based feeding practices are essential for attaining and maintaining proper nutrition and health. Objective: The aim of the …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 2, 2017 · pp. 29–40 Read article
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An Analysis of Machine Learning Models for Early Cardiac Risk Stratification
Abstract: The paper shows an in-depth study of machine learning and artificial intelligence solutions to early cardiac risk stratification which has a crucial necessity because cardiovascular disease (CVD) prediction remains a significant issue that needs to be improved beyond the conventional risk score. Since CVD is the most serious disease killer in the world, claiming 17.9 million deaths every year, there is a strong need to get the most sophisticated predictive …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Recent Trends in Heavy Metal Pollution of Groundwater: A Review
Abstract: Heavy metal pollution in groundwater has emerged as a major environmental and public health concern worldwide due to its persistence, toxicity, and potential for bioaccumulation. Rapid industrialisation, urban expansion, intensive agriculture, mining activities, and improper waste disposal have significantly increased the release of heavy metals into subsurface environments. Groundwater, being a primary source of drinking water in many regions, is particularly vulnerable to contamination, posing serious risks to human health …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 14–24 Read article
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Design and Validation of Low Power High Speed area effective comparator using CMOS Technology
Abstract: The most fundamental arithmetic comparisons in a digital comparator involve comparing two numbers that are greater than, less than, or equal to each other. While doing enormous level arithmetic comparisons, a digital comparator needs more space, which results in higher power consumption and a delayed response. This can be solved by using N-bit comparator with two modules using 45GPDK CMOS Technology. An N-bit comparator can operate at extremely high speeds …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 2, 2023 · pp. 20–29 Read article
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Intelligent Aquaculture System for Fish Disease Detection Using Machine Learning
Abstract: Aquaculture is one of the key factors for global food security, but fish diseases bring about heavy economic losses and jeopardize sustainability. One of the most important aspects of global food security is aquaculture, but fish infections endanger sustainability and cause significant financial losses. Early diagnosis is not possible since traditional disease detection techniques are laborious and necessitate expert intervention. To effectively detect fish infections, this study suggests an Intelligent …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 2, 2025 · pp. 30–37 Read article
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Physico-Chemical Soil Analysis: A Scientific Approach to Life on Land and Terrestrial Ecosystem Conservation for Supporting SDG 15 Goals
Abstract: Soil health and fertility evaluation are foundational elements in the sustainable management of ecosystems and the enhancement of agricultural productivity. Accurate assessment of soil properties, especially Carbon (C), Nitrogen (N), and Phosphorus (P), is critical for informed decision-making in agriculture and environmental conservation. However, traditional laboratory methods for analyzing these essential nutrients often involve significant resource allocation and time commitments, making them less practical for large-scale or time-sensitive applications. To …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 1, 2025 · pp. 25–23 Read article
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A Particle-Derived Nonlinear Dynamical Framework for Bubble Oscillations: Reduced-Order Modeling, Bifurcation Analysis, and Optimal Stabilization
Abstract: Particle-based fluid simulation has emerged as a powerful computational framework for modeling complex multiphase flows involving large deformations, moving interfaces, and nonlinear fluid interactions that challenge conventional mesh-based approaches. In this work, a nonlinear dynamical systems framework is developed for particle-resolved bubble oscillations by constructing a reduced-order model that preserves the dominant physical mechanisms governing bubble interface evolution. The formulation represents the bubble dynamics through coupled radial and shape deformation …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 11–33 Read article
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The Data Analysis Tools Used in the Articles of Annals of Library and Information Studies: An Analysis
Abstract: Research is the means to deplore the already existing information in the discipline. It is continuous and exhaustive study and leads to development of the newer theory, methodology or redefinition of the already existing theory in the light of new facts. This rediscovery depends upon the used methods and tools of the research. The present study is a step towards this. It tries to find out the various research methods …
Published in Journal of Advancements in Library Sciences · Vol. 4, Issue 2, 2017 · pp. 46–49 Read article
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Sustainable Food Packaging: Recent Advances in Biodegradable and Smart Packaging Technologies
Abstract: Fish farming is a vital source of livelihood, income, and nutritional security, especially in regions where aquaculture is embedded in local economies and culture. In India’s Mithila region (Bihar), fish (machh) holds substantial cultural, economic, and nutritional significance. This research analyzes the economics of pond-based fish production in Madhubani district, focusing on Benipatti Block, an area with high pond density. The study investigates determinants of productivity, profitability, and resource utilization, …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 59–68 Read article
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Economics of Fish Production and Marketing: A Case Study of Madhubani District in Bihar
Abstract: Fish farming is a vital source of livelihood, income, and nutritional security, especially in regions where aquaculture is embedded in local economies and culture. In India’s Mithila region (Bihar), fish (machh) holds substantial cultural, economic, and nutritional significance. This research analyzes the economics of pond-based fish production in Madhubani district, focusing on Benipatti Block, an area with high pond density. The study investigates determinants of productivity, profitability, and resource utilization, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 101–115 Read article
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Toxicology 4.0: Integrating Artificial Intelligence, Big Data, Health Informatics, and Precision Analytics for Predictive Toxicity Assessment, Real-Time Toxicovigilance, and Personalized Patient Safety
Abstract: Background: Toxicology is undergoing a major transformation, increasingly described as Toxicology 4.0, driven by the integration of artificial intelligence (AI), big data analytics, health informatics, and precision analytics. Conventional toxicity testing is limited by high costs, lengthy timelines, and challenges in translating animal and low-throughput in vitro findings to humans. Aim and Objectives: To comprehensively evaluate the emerging role of Toxicology 4.0 in predictive toxicity assessment, real-time toxicovigilance, and personalized …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 2, 2026 Read article