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34 articles for “analytical methods”
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Optimizing Antibiotic Analysis: A Comprehensive Guide to HPLC Process of Assessment and Quantification
Abstract: The history and uses of chromatography are thoroughly covered in this work, with an emphasis on the use of High-Pressure Liquid Chromatography (HPLC) in pharmaceutical analysis. Since its discovery by Russian botanist Mikhail Tswett in the 19th century, chromatography has undergone tremendous developments that have given rise to a variety of chromatography types and applications. The story follows the evolution historically, emphasizing Tswett's groundbreaking breakthrough in plant color classification and …
Published in International Journal of Antibiotics · Vol. 1, Issue 2, 2024 · pp. 27–44 Read article
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A Comprehensive Review of Metabolite
Abstract: Metabolites, tiny chemicals, are essential to physiology, signalling, and biological function. This extensive review classifies metabolites into primary and secondary categories by biological relevance. Alkaloids, flavonoids, and terpenoids contribute to ecological interactions and defence systems, while amino acids, nucleotides, and carbohydrates directly affect development and cellular function. The article examines metabolic pathways, mass spectrometry, NMR, and metabolomics, a growing field. Metabolites play a crucial role in various scientific and practical …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 2, 2025 Read article
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An Analytical Review of Machine Learning Methodologies
Abstract: Machine Learning (ML) is a dynamic and rapidly developing area of computer science that enables the system to learn from data and improve its performance without clear programs. Rooted in statistical theory and computer algorithms, ML has become a major technology that progresses in artificial intelligence. It strengthens the detection of the recommendations and speech for extensive applications from autonomous vehicles and medical diagnoses. This paper has reviewed the basics …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 13–21 Read article
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A Pragmatic Analysis of Rapport Orientation in Selected Rehabilitated Schools in Syria
Abstract: Rapport orientations are not frequently explored in educational discourse, despite their significant role in enhancing or maintaining relationships between students and teachers, and in avoiding or mitigating embarrassing situations. This paper aims to investigate the rapport orientations of students and teachers based on Spencer-Oatey’s (2008) theory. A descriptive-analytical method was adopted to analyze and interpret the questionnaires from students and teachers in selected rehabilitated schools in Syria. The software MAXQDA …
Published in International Journal of Education Sciences · Vol. 2, Issue 1, 2025 · pp. 46–61 Read article
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Matriarchal Influence and Spiritual Identity: Exploring Women's Spirituality in Young Sheldon
Abstract: The study analyzes the TV series Young Sheldon (2017–2024) through maternal and spiritual feminism. It is a prequel to The Big Bang Theory, set in the 1980s. It is based on a ten-year-old Sheldon’s struggles to adjust to his environment. It aims to examine the study critically, emphasizing the role of his mother and her maternal and spiritual practices through episodes of seasons one to five. The study works on …
Published in Emerging Trends in Languages · Vol. 2, Issue 2, 2025 · pp. 33–43 Read article
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Optimizing Manufacturing Processes with Taguchi Method in Production Engineering
Abstract: The Taguchi Method, pioneered by Genichi Taguchi, stands as a powerful optimization tool within the realm of production engineering. This paper delves into the principles, applications, and significance of the Taguchi Method in enhancing manufacturing processes. With a focus on minimizing variation and improving performance, this methodology plays a crucial role in addressing challenges faced by industries in their pursuit of operational excellence. The core components of the Taguchi Method, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 2, 2024 · pp. 1–8 Read article
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A study of The impact of Antibiotic Pollution and The types of Environmental Pollution It causes
Abstract: Antibiotics are essential biological drugs for human health and are the cornerstone of treating infections caused by various bacteria and viruses. However, they also pose a significant risk if misused, as each antibiotic is designed for a specific type of bacteria. Sometimes, due to the evolution of bacteria, many antibiotics have become ineffective and resistant to contamination and infection. Therefore, they can have the opposite effect, polluting the environment instead …
Published in International Journal of Antibiotics · Vol. 3, Issue 1, 2026 · pp. 41–46 Read article
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Selected Heavy Metals Levels (Cu, Cr, Cd, Pb, Fe) in Gwadabawa Lake, Sokoto State, Nigeria
Abstract: The main aim of this work was to determine the concentrations of some heavy metals, specifically Cu, Cd, Pb, Cr and Fe in Gwadabawa lake, Gwadabawa Local Government, Sokoto State using standard methods (atomic absorption spectroscopy) and materials of analytical grade. The results were analyzed. The range of Fe concentration was 0.01 ± 0.001 to 1.37 ± 0.3(ppm), and range of Cu concentration determined was 0.00 to 0.02±0.008(ppm). The range …
Published in International Journal of Minerals · Vol. 1, Issue 1, 2024 · pp. 8–15 Read article
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Solid Lipid Nanoparticles in Medicine: Formulation, Characterization and Future prospects
Abstract: An alternative to conventional colloidal carriers such liposomes, polymeric nanoparticles, and emulsions, solid lipid nanoparticles (SLNs) were created in the early 1990s. Benefits include targeted medicine distribution, controlled drug release, and improved stability. An extensive review of the excipients utilized, the production techniques, including the membrane contractor approach, and the possible advantages and disadvantages of SLNs is given in this work. It investigates secondary stabilization techniques like freeze-drying and spray-drying, …
Published in International Journal of Membranes · Vol. 2, Issue 1, 2025 · pp. 1–15 Read article
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An Interoperability on the Internet of Things (IoT): A Review
Abstract: With technological advancement growing at a rapid rate, we are presented with numerous ways of connecting ourselves to the rest of the world. The Internet of Things, or IoT, is now a reality, even at the minuscule level. With ubiquitous computing, we can stay in constant communication with the outside world. As such there are several types of devices capable of monitoring, measuring, and sending data back and forth from …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2024 · pp. 40–53 Read article
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Striking A Balance: Ethical Guidelines for A.I. Integration in Mental Health Services
Abstract: Introduction: Artificial Intelligence (AI) integration in mental health services presents opportunities and challenges. This study examines ethical considerations and proposes guidelines for responsible AI implementation in mental healthcare. The rapid advancement of AI technologies has sparked both excitement and concern within the mental health community, necessitating a thorough examination of their potential benefits and risks. By addressing these ethical considerations, this research aims to contribute to the development of a …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 1, 2025 · pp. 8–15 Read article
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A Machine Learning Approach to Forecasting Outcomes in Limited Overs Cricket
Abstract: This study explores the application of machine learning techniques to forecasting outcomes in limited overs cricket matches, with a particular focus on One Day Internationals (ODIs). The research investigates how classification algorithms can be effectively utilized to analyze both contextual and dynamic factors that influence match results, including venue details, toss decisions, team strength, and historical performance records. By employing a structured methodology encompassing feature selection, data preprocessing, model training, …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 09–19 Read article
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The Role of Artificial Intelligence in Enhancing Athlete Performance and Training Strategies
Abstract: Artificial Intelligence (AI) is transforming modern sports by improving athlete performance, training methods, and decision-making processes. The integration of AI technologies such as machine learning, data analytics, wearable sensors, and computer vision has enabled coaches and sports scientists to analyze large amounts of performance data with greater accuracy and efficiency. Athletes' physiological indicators, movement patterns, injury risks, and recuperation processes are all monitored by these technology. Training regimens can therefore …
Published in Recent Trends in Sports · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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Evaluating the Performance of Test Cricket Players Using Principal Component Analysis and the Weighted Average Method
Abstract: This study evaluates cricket player performance using Principal Component Analysis (PCA) and a weighted average approach. In order to achieve this, we analyzed detailed batting and bowling datasets from the International Cricket Council (ICC) to calculate player performance based on various performance indicators. The datasets included comprehensive statistics from multiple matches and tournaments, allowing for an in-depth evaluation of players’ skills and contributions. PCA ranked players according to their participation …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 20–30 Read article
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Unlocking Microbial Potential: Innovations in Natural Product Biosynthesis and Therapeutic Applications
Abstract: MNPs play a pivotal role in diverse fields, spanning medicine, agriculture, and industry. This review paper synthesizes insights from various discussions on microbial natural products, encompassing their sources, bioactive properties, and applications. We explore microbial diversity contributing to natural product synthesis, emphasizing bacteria and fungi as prolific producers. The methods for isolating and characterizing these compounds underscore the interdisciplinary nature of microbial natural product research utilizing various analytical techniques contributing …
Published in International Journal of Fungi · Vol. 2, Issue 1, 2025 · pp. 18–38 Read article
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Mathematical Approaches to Nonlinear Oscillatory Systems with Damping: Exact and Approximate Solutions
Abstract: The study of nonlinear oscillatory systems with damping is a key area of research in applied mathematics, particularly in the context of dynamical systems, stability analysis, and bifurcation theory. These systems, described by second-order nonlinear differential equations, exhibit a rich variety of behaviors, including periodic, quasi-periodic, and chaotic motions. The introduction of damping—representing energy dissipation—adds a layer of complexity, making the analytical and numerical solution of such systems a challenging …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 7–11 Read article
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Remote Sensing in Atmospheric Studies: Enhancing Understanding of Climate Dynamics and Air Quality, Atmospheric Monitoring and Analysis; Emerging Technologies and Future Directions
Abstract: Remote sensing has emerged as a transformative tool in atmospheric sciences, providing detailed and comprehensive insights into various atmospheric phenomena. Its advanced capabilities have revolutionized our understanding of climate dynamics, air quality, and atmospheric composition, enabling more accurate monitoring and analysis. This paper reviews the critical role of remote sensing technologies in enhancing knowledge of atmospheric processes and their practical applications in areas such as climate change monitoring, air pollution …
Published in International Journal of Atmosphere · Vol. 2, Issue 1, 2025 · pp. 1–5 Read article
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Study of Electrically Conductive Polymer for Antistatic and Sensor Application
Abstract: Electrically conductive polymers (ECPs) are a unique category of smart materials that integrate the mechanical flexibility and ease of processing characteristic of conventional polymers with the electrical conductivity typically associated with metals or semiconductors. In recent years, they have attracted considerable interest due to their promising potential in advanced technological applications, especially in antistatic coatings and electronic sensing devices. The unique ability of these polymers to conduct electricity arises from …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 46–51 Read article
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Planktonic Organisms as Bio-indicators of Pollution in Aquatic Environments
Abstract: Planktonic organisms play a pivotal role in aquatic ecosystems, serving as vital bio indicators of pollution levels. This review offers a thorough exploration of their significance in assessing environmental health in aquatic environments. We delve into the diverse array of planktonic taxa, encompassing phytoplankton, zooplankton, and bacterioplankton, and examine their responses to various pollutants such as nutrient enrichment, chemical contaminants, and microplastics. These organisms exhibit remarkable sensitivity to environmental changes, …
Published in International Journal of Marine Life · Vol. 1, Issue 2, 2024 · pp. 21–26 Read article