Search
1673 articles for “identification”
-
Nanoparticle-Based Early Diagnostic Tools for Tuberculosis and Malaria in Rural India
Abstract: Malaria and Tuberculosis continue to be two major public health challenges in rural India. The interplay between an inefficient health care system, late diagnosis, and under-identification of cases contributes to the high morbidity and mortality associated with TB and Malaria. Conventional methods, such as sputum microscopy for TB, microscopy and rapid diagnostic tests (RDTs) for malaria, have a higher benchmark of sensitivity that requires a certain amount of time, skilled …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 45–51 Read article
-
A Systematic Review of Impurity Profiling and Stability Studies in Pharmaceutical Drug Substances
Abstract: Ensuring the safety, efficacy, and quality of pharmaceutical goods is essential in the Indian pharmaceutical market, which is a global centre for generic drugs. Stability studies and impurity profiling are two fundamental activities that ensure this quality during the whole lifespan of a medicine. The effect of environmental variables such as temperature, humidity, and light on the quality of a drug substance over time is demonstrated by stability studies. The …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 81–88 Read article
-
Graphs and Their Real-Life Applications in Pharmaceutical Research
Abstract: This study provides a comprehensive overview of the role of graphs in pharmacy research, emphasizing their significance as powerful tools for data visualization, interpretation, and communication. In the field of pharmacy, research often generates large volumes of complex data related to drug development, pharmacokinetics, pharmacodynamics, medication safety, and patient outcomes. Graphs serve as an essential medium to translate these data into accessible, interpretable, and actionable insights, supporting evidence-based practice and …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 3, 2025 · pp. 01–08 Read article
-
Industry 6.0: Building a Sustainable Future
Abstract: The next stage of industrialization, known as Industry 6.0, is centered on developing intelligent, fully integrated manufacturing systems that require little human involvement. India is in a perfect position to become a major player in the sector 6.0 ecosystem, thanks to its robust technological infrastructure, fast expanding economy, and large talent pool. It blends big data, cloud computing energy, human-robot interaction, artificial intelligence, and quantum computing. The main aim of …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 25–32 Read article
-
Needle Choice in Spinal Anesthesia: Is the 25-Gauge Whitacre Superior to the Quincke in Reducing Post-Dural Puncture Headache
Abstract: The process known as endotracheal intubation involves inserting a synthetic tube into the trachea and inflating the former’s cuff to create an airtight seal. Of all the specialized masks in the LMA family, the PLMA is the most intricate. The cuff, the airway tube, the drain (gastric access) tube, and the inflation line with pilot balloon are their four primary components. This drain tube aids in identifying mask malposition and …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 2, 2025 · pp. 22–30 Read article
-
Integrated Optimization of Solar Photovoltaic Systems Using Taguchi Method and Computational Fluid Dynamics for Enhanced Efficiency
Abstract: The transition to renewable energy demands efficient and reliable photovoltaic (PV) systems to meet rising global energy needs. This study presents an integrated optimization framework combining the Taguchi method and Computational Fluid Dynamics (CFD) to improve the thermal and electrical performance of solar PV systems. A structured experimental design using an L9 orthogonal array evaluates the influence of three key parameters—material type, panel thickness, and cooling mechanism—on system efficiency. Analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 10–25 Read article
-
ML-Driven Defect Detection in Additive Manufacturing of Polymer Composites Using Thermal Imaging
Abstract: Polymer-based flexible biosensors have emerged as a pivotal technology in continuous health monitoring, yet their deployment in real-world settings is often hindered by undetected micro-defects and signal distortion caused during fabrication or usage. Existing diagnostic frameworks typically rely on post-hoc processing or bulky instrumentation, failing to offer scalable, real-time detection during additive manufacturing workflows. This study introduces an end-to-end, thermographic imaging-integrated framework for in-situ defect identification during the additive manufacturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 201–215 Read article
-
Integration of Biomarkers in III and IV CKD Patients for Evaluation of Their Predictive Value for CVD in CKD Patients
Abstract: Background: Chronic kidney disease (CKD) is presently characterized by the presence of proteinuria and/or a diagnosis of renal impairment. The worldwide significance of CKD is underscored by the fact that its prevalence and incidence have doubled over the past three decades. This paper provides an overview of the existing evidence regarding biomarkers in individuals with CVD or CKD, with a particular focus on the emerging biomarkers (i.e., eGFR, sALB, UACR, …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 3, 2025 · pp. 1–12 Read article
-
Association of Metabolic Syndrome with Cholelithiasis in Female Patients and Its Impact on Clinical Management and Surgical Outcome
Abstract: Background: Metabolic syndrome (MetS) is associated with obesity, insulin resistance, dyslipidemia, and hypertension, which may predispose to gallstone formation. This study aimed to evaluate the association between MetS and cholelithiasis in female patients and to assess its impact on clinical presentation, surgical difficulty, and postoperative outcomes. Methods: A prospective observational study was conducted on 88 female patients with ultrasonography-confirmed cholelithiasis. Patients were divided into two groups: MetS (n=44) and non-MetS …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 · pp. 1–7 Read article
-
Predictive Factors of Long-Term Sobriety: A Post-Discharge Outcome Study in Mangalore, Goa, and Vasai (2019–2023)
Abstract: Relapse following discharge remains a major challenge in addiction recovery, even with structured treatment protocols in rehabilitation centers. This study examines post-discharge outcomes from Kripa Foundation’s rehabilitation centers in Mangalore, Goa, and Vasai over a five-year period (2019–2023). A total of 100 patients were categorized into four behavioural outcome groups: Clean (Sober), Relapsed, R.I.P. (Deceased), and Unknown. The study aimed to identify demographic and behavioural predictors of sustained sobriety post-discharge. …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 29–44 Read article
-
Depression Detection Using Machine Learning: A Comprehensive Review
Abstract: Depression remains one of the most prevalent mental health conditions globally, yet it frequently goes undiagnosed due to the reliance on subjective evaluation methods. With the growing availability of digital behavioral data and significant progress in machine learning (ML), new possibilities have emerged for the automated detection of depression. This review offers a detailed examination of recent advancements in ML-driven approaches to identifying depressive symptoms. It covers a range of …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 27–32 Read article
-
A Thorough Examination of How Artificial Intelligence is Affecting the Transformation of Agriculture in India and Throughout the World
Abstract: By providing creative ways to increase crop yields, maximize resource usage, and advance sustainability, artificial intelligence (AI) is revolutionizing agriculture. AI technologies, such as machine learning, computer vision, and robotics, are being increasingly used in precision farming, crop monitoring, disease detection, and decision-making as the global agricultural sector faces pressing challenges like food security, population growth, and climate change. AI enables farmers to make data-driven decisions, optimize irrigation systems, monitor …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 39–45 Read article
-
Luxury in Sustainability: Designing Eco-Friendly Yet Opulent Interiors
Abstract: This report explores the evolving relationship between luxury and sustainability in interior design, challenging the misconception that opulence and environmental responsibility are incompatible. It examines how high-end residential, commercial, and hospitality spaces integrate sustainable materials, energy-efficient technologies, and ethical sourcing to create refined yet eco-conscious interiors. Through detailed case studies, including Bloomberg European Headquarters, Six Senses Zil Pasyon, and Passive House designs, the study highlights innovative approaches to reducing carbon …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 2, 2025 · pp. 19–45 Read article
-
Development of River Flood Management plan “Case of Patna City”
Abstract: This Research Paper develops an Integrated River Flood Management plan for Patna city, which includes Policy Framework and Implementation Strategy by increasing resilience and reducing river flood through various Interventions like Land use planning, Low Impact Development, Embankments, leaves, Dykes and ecosystem-based adaptation, resilient infrastructure, and community engagement identified from various Literature studies. It ensures Development of framework for River Flood in the region. It also talks about the Parameters …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 38–79 Read article
-
Challenges of E-learning for Learners
Abstract: E-learning, the use of digital technologies for education, has become increasingly popular in recent years. However, learners face several challenges in this mode of learning. This abstract explores some of the key challenges faced by learners in e-learning environments. E-learning environments often lack the interpersonal engagement found in traditional classrooms, such as collaborative discussions, peer support, and networking opportunities, which can result in feelings of isolation and reduced motivation. Success …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 2, 2025 · pp. 7–15 Read article
-
AI-Powered ECG Prediction System for Detecting Cardiovascular Disease
Abstract: The proposed AI-powered CardioSmart Analyzer, an electrocardiogram (ECG) prediction system, presents an innovative and scientifically rigorous approach to the real-time automated analysis of ECG signals for diagnosing various heart conditions. This research focused on building a predictive model to identify cardiovascular diseases (CVD) using ECG data. A dataset comprising 2,840 12-lead ECG recordings was gathered from medical facilities in Gazipur, Bangladesh, over the period from June to August 2024. The …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 51–85 Read article
-
Carbon Capture Using Polymer Based Membranes - A Green Solution to Climate Change
Abstract: Growing concerns over greenhouse gas emissions have intensified the search for efficient and eco-friendly carbon capture technologies. This study explores the potential of innovative polymer-based membranes as a sustainable approach to controlling CO2 emissions. The paper outlines the fundamental mechanisms of gas transport in membranes, reviews recent advancements in polymer material design, and examines various membrane configurations suited for industrial applications. Special attention is given to newly developed high-performance polymers …
Published in International Journal of Membranes · Vol. 2, Issue 2, 2025 · pp. 13–18 Read article
-
Application-Driven Rule-Based Framework for Lubrication Failure Modes in Industrial Systems
Abstract: Modern lubricants increasingly rely on polymer-based composites, integrating synthetic base oils, polymer thickeners and solid additives like MoS₂ and PTFE for high-performance applications. These formulations not only enhance thermal and mechanical stability but also enable low-friction operation across diverse industrial conditions. Lubrication-related failures represent a critical cause of unplanned downtime and reduced reliability in industrial machinery. This paper presents an application-driven, rule-based framework designed to assess and mitigate lubrication failure …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 522–531 Read article
-
Early Detection of Heart Disease using Machine Learning Techniques
Abstract: Coronary illness stays one of the main sources of death around the world. Exact expectations of coronary illness can altogether work on quiet results by empowering early intercession and customized treatment plans. Throughout the course of many recent years, AI (ML) methods have been extensively investigated for anticipating coronary illness, attribuFig to their remarkable capacity to analyze complex data patterns and generate precise predictions based on historical clinical records. With …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 34–45 Read article
-
Integrated, Geospatial Risk Assessment of Air, Water, and Soil Pollution Impacts on Agricultural Sustainability using Advanced Digital Technologies
Abstract: The systemic threat posed by the convergence of air, water, and soil contaminants represents a critical challenge to global agricultural resilience and food security. Traditional, site-specific pollutant monitoring methods are insufficient for capturing the dynamic, diffuse, and often nonlinear nature of environmental risk pathways that permeate agrarian landscapes. This study presents a robust framework for comprehensive risk assessment utilizing a synergistic suite of modern tools designed for spatial, temporal, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 28–37 Read article