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1969 articles for “R&D” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Resilience Building through Disaster Risk Reduction
Abstract: A catastrophe is a serious disruption to a society's functioning that causes mortal, material, profitable, and environmental losses beyond a community's capability to manage. It results from the admixture of hazards, surroundings of exposure, and lack of volume or measures to lower the implicit negative results of threat. Hence, catastrophe control may be delineated as the arranging and administration of effects and the responsibility for handling all philanthropic angles of …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 2, 2024 · pp. 32–45 Read article
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An Experimental Study to Assess the Effectiveness of Planned Teaching Program Regarding Pelvic Rocking Exercise and Dry Ginger on Knowledge and Attitude Regarding Dysmenorrhea
Abstract: Objective: Dysmenorrhea is characterized by painful menstrual cramps originating from the uterus and is a common gynaecological condition affecting women of all ages and nationalities. Primary dysmenorrhea refers to menstrual pain without any underlying organic disease, while secondary dysmenorrhea occurs due to an identifiable medical condition. Common causes of secondary dysmenorrhea include endometriosis, fibroids, adenomyosis, endometrial polyps, pelvic inflammatory disease, and the use of intrauterine contraceptive devices. Methodology: Experimental research …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 6–10 Read article
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Retinal Disease Detection Using Deep CNN
Abstract: Age-related macular degeneration, glaucoma, and diabetic retinopathy are the three main causes of blindness in the globe. To avoid visual loss, early identification and treatment of these disorders are essential. The goal of this research is to create an automated method for detecting retinal diseases by analyzing retinal fundus pictures with machine learning techniques. Python and the Tkinter package for the graphical user interface are used in the construction of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 46–50 Read article
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ANN-Based Adaptive Rotor Current Control for DFIG Wind Systems: A Comparative Dynamic Analysis
Abstract: The variability of rotor current management in Doubly Fed Induction Generator (DFIG)-based wind energy conversion systems is crucial for maintaining stability in power extraction under fluctuating wind and grid circumstances. Traditional proportional-integral (PI) controllers, despite their ease of use, frequently exhibit diminished performance when faced with parameter uncertainty, nonlinear behaviors, and rapid wind fluctuations.This paper presents an adaptive rotor current control strategy, which is an Artificial Neural Network (ANN)-based approach …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 41–53 Read article
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Development Of Ai-Driven Systems for Real-Time Joint Movement Detection and Correction in Frozen Shoulder Therapy Using Sensor-Based Shoulder Rehabilitation Devices
Abstract: Frozen shoulder, or adhesive capsulitis, is a common musculoskeletal disorder characterized by progressive pain, stiffness, and restricted range of motion that significantly impairs functional ability and quality of life. Recent advancements in artificial intelligence and sensor-based technologies have enabled the development of intelligent rehabilitation systems capable of real-time joint movement detection and correction. Wearable sensors such as inertial measurement units, electromyography sensors, and flexible strain sensors capture continuous biomechanical data …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Enhancing Analog Radio Broadcasting Using DDRB Algorithm
Abstract: With the rapid advancement of digital technology and the global transition toward modern radio broadcasting, Nepal has a significant opportunity to upgrade its radio broadcasting system. Digital radio services offer numerous benefits, including superior audio quality, broader coverage, interactive features, and enhanced capabilities. This thesis focuses on improving Nepal's analog radio broadcasting through the implementation of DDRB (Digital Radio Mondiale [DRM] Digital Radio Broadcasting) technology. The study begins by analyzing …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 3, 2024 · pp. 34–43 Read article
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AI-Driven Robotics for Sustainable Solutions in Disaster Management
Abstract: Disasters, whether natural or man-made, present significant challenges to societies worldwide. Efficient response, recovery, and mitigation strategies are crucial to minimizing human suffering, loss of life, and economic damage. Traditional disaster management strategies, while effective to some degree, often face limitations related to human resources, response time, accessibility, and safety. The integration of artificial intelligence (AI) and robotics into disaster management offers transformative potential for overcoming these challenges. This paper …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 24–30 Read article
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Stimuli-Responsive Polymers for Drug Release in Targeted Therapy
Abstract: SRPs, or stimuli-responsive polymers, are becoming a good way to give specific drugs. They let medicines be released in a controlled way. Some of the things that can change these polymers are pH, temperature, light, magnetic fields, and the number of ions present. Some outside signs can make SRPs respond, which helps control how drugs are released. This cuts down on side effects and improves the effectiveness of focused treatments. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 252–265 Read article
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An Evaluative Comparison of CD123 and CD66c as Biomarkers to Detect Minimal Residual Disease in B-Cell Acute Lymphoblastic Leukemia
Abstract: Background: B-cell Acute Lymphoblastic Leukemia (B-ALL) often shows lineage heterogeneity with lymphoid cells expressing myeloid markers. Minimal Residual Disease (MRD) refers to the small number of cancer cells that may remain in a patient's body after treatment and that are undetectable by standard diagnostic methods. In diseases like B-cell Acute Lymphoblastic Leukemia (B-ALL), MRD is a critical prognostic indicator, as its presence can signal a higher risk of relapse. In …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 · pp. 7–12 Read article
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Differentiating Real Versus Unreal in Children: An Investigation Using GIF Stimuli
Abstract: Virtual Reality Judgment is a part of cognitive development. With advancing cognitive development children will develop judgmental abilities enabling them to differentiate realty vs myth. This study explores the development of reality judgment abilities in typically developing children aged 3-6 years. Reality judgment, encompassing both character and action ability perception, is crucial for a child's accurate perception of the world. Existing research on reality judgment often stems from Western contexts, …
Published in International Journal of Children · Vol. 1, Issue 1, 2024 · pp. 01–04 Read article
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Nano-Therapeutics in Diabetes Mellitus: Revolutionizing Diagnosis, Treatment, and Drug Delivery
Abstract: Diabetes mellitus is a chronic metabolic disorder in which blood glucose concentration remains high over an extended duration, resulting in significant lethal complications, including neuropathy, nephropathy and cardiovascular diseases. However, conventional diabetes management strategies, including insulin therapy and oral hypoglycemic agents, rarely exhibit poor bioavailability, high doses, off target delivery, etc. Nanotechnology has brought the rise of diabetes treatment revolution, by overcoming the challenges present in standard treatment, owing to …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 08–19 Read article
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Drug Utilisation and Cost Analysis in End-Stage Renal Disease Patients: A Prospective Observational Study
Abstract: Chronic Kidney Disease (CKD) is a condition in which the kidneys are damaged and unable to efficiently remove waste and excess fluid from the blood. Dialysis serves as a treatment for CKD by artificially carrying out the kidney’s filtering functions. This prospective observational cross-sectional study was conducted to evaluate drug utilization patterns, economic burden, and health-related quality of life (HRQoL) among patients with end-stage renal disease (ESRD) undergoing dialysis. Over …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 1–12 Read article
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Evaluation of the anti diabetic effects of ethanolic root extract from polyalthania longifora in diabetic rats induced by streptozotin and nicotinamide with considaertion of toxocological aspects
Abstract: The root of Polialthia Longifolia was selected for the evaluation of antidiabetic potential in STZ-nicotinamide induced diabetic rat model.The root extract was extracted by hot percolation using ethanol as a solvent in soxhlet apparatus and the preliminary phytochemical screening was performed and it shows that the ethanolic root extract of Polialthia Longifolia contains alkaloids, glycosides, flavonoids and tannins. Safety profile is essential for the drugs obtained from the plant origin. …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 1, 2024 · pp. 37–50 Read article
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Physicochemical Transitions and Polymerization Dynamics in Multi-Generational Dentin Adhesives: A Critical Review of the Resin-Dentin Composite Interface
Abstract: Adhesive dentistry has undergone a transformative refinement over the past three decades, transitioning from technique-sensitive, multi-step etch-and-rinse protocols to streamlined universal formulations. This narrative review critically synthesizes evidence from thirty peer-reviewed investigations to evaluate the evolution of dentin bonding agents from the fourth through the eighth generations. The analysis places particular emphasis on the physicochemical dynamics of the resin-dentin interface, including interfacial bond strength metrics, marginal integrity, and microleakage behavior. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 209–228 Read article
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Dimensionality Reduction Techniques and their Applications in Cancer Classification: A Comprehensive Review
Abstract: Dimensionality reduction techniques have become a vital tool in the investigation of high-dimensional data like gene expression profiles in cancer research. Here is a review, we deliver a comprehensive overview of dimensionality reduction techniques and their applications in cancer classification. Firstly, we introduce the concepts and approaches of dimensionality reduction, and after that, we explore several methods for decreasing dimensionality. These techniques include Linear Discriminant Analysis (LDA), Principal Component Analysis …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 2, 2023 · pp. 35–45 Read article
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Innovative Secure Public Ration Distribution Using Machine Learning
Abstract: The proposed system aids in controlling malpractices that are present in ration shops by replacing manual work with automatic systems based on machine learning. The ration distribution system is automated by using machine learning algorithms. Once the consumer is validated by password, the system will provide the customer information like how many people’s rations are permitted to their account, how many rations will be provided, and on which day the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 25–30 Read article
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A Review on Digital Twin Technology in Robotics
Abstract: Digital Twin (DT) technology has emerged as a transformative concept in robotics and automation, enabling virtual representation of physical systems, real-time monitoring, and performance optimization. This review explores the foundations of Digital Twin, its integration in robotic systems, key enabling technologies, applications, current challenges, and future research directions. The paper concludes by highlighting how Digital Twin transforms design, control, prediction, and human-robot collaboration.Digital Twin technology is transforming the field of …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
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A Comparative Study of Lipid Profile in Pre-Dialysis and Post-Dialysis End-Stage Renal Disease Patients
Abstract: Background: Chronic kidney disease (CKD) represents a major public health concern in India, with its prevalence increasing at an alarming rate. Individuals with CKD are at a substantially higher risk of developing cardiovascular disease (CVD), which remains the leading cause of mortality in this population. Dyslipidemia is particularly pronounced among patients with end-stage renal disease (ESRD); however, limited data are available regarding the impact of hemodialysis on lipid profile alterations. …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 1, 2026 · pp. 25–31 Read article
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Education and Skill Development for Sustainable Rural Development
Abstract: Leveraging education and skill development is a critical aspect of sustainable rural development enabling rural connected populations to gain knowledge and tools to enhance their economic opportunities, survive and thrive in changing environments and play its role in investment in rural development. This study analyzes the multiple functions of education and skill programs in rural areas, how they contribute to economic growth, social inclusion and environmental sustainability. Through focusing on …
Published in International Journal of Rural and Regional Development · Vol. 2, Issue 2, 2024 · pp. 10–20 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article