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1940 articles for “pre” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Artificial Intelligence in Pharmacovigilance: Improving Drug Safety
Abstract: Artificial intelligence (AI) is revolutionizing pharmacovigilance (PV) by enhancing the detection, assessment, and prevention of adverse drug reactions (ADRs). This review examines how AI technologies – such as machine learning (ML), natural language processing (NLP), and big data analytics – tackle existing challenges in pharmacovigilance (PV), including issues like underreporting, large data volumes, and inefficiencies in data processing. AI improves drug safety by automating data collection, enabling real-time adverse event …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 1–16 Read article
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Performance evaluation of MB plough with combination of different Tillage Implements
Abstract: This study evaluates the performance of tractor-drawn tillage implements in various combinations on clay loamy soil. The research aimed to assess performance parameters such as field capacity, efficiency, depth and width of cut, and energy requirements during seedbed preparation. The experiments were conducted on a 40 × 30 m² plot using multiple tillage combinations, including moldboard (MB) ploughing, MB ploughing combined with cultivating, MB ploughing followed by rotavating, single-pass rotavating, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 1, 2025 · pp. 20–26 Read article
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Pharma Tech: Leveraging Software for Drug Development & Clinical Research
Abstract: The pharmaceutical sector is progressively adopting software solutions to enhance the drug development process and optimize clinical research results. Drug development is a time-consuming, expensive, and intricate process that traditionally requires extensive laboratory research, preclinical testing, and several stages of clinical trials. Software tools are revolutionizing these stages by improving efficiency, minimizing errors, and speeding up timelines. During preclinical testing, predictive software tools are used to model toxicological effects and …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 11–19 Read article
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A Machine learning approach to asses carbon emission, utility to produce biomaterial
Abstract: The transportation sector, and the automotive industry in particular, has grown significantly over the last ten years. However, these quick advancements have also brought about important problems that require workable answers. The problem of carbon emission is responsible for global warming due to greenhouse gas emission. The present work is focused on CO2 emission from public and personal transport within Agra city on a real-time basis. In the context of …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 1, 2025 · pp. 22–30 Read article
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Navigating the Principles and Practice of Oral Anticoagulant Therapy: A Comprehensive Healthcare Guide
Abstract: Oral anticoagulant therapy plays a critical role in the prevention and treatment of thromboembolic disorders, including atrial fibrillation (AF), venous thromboembolism (VTE), and mechanical heart valve replacement. This research article aims to provide a comprehensive overview of the principles and practice of oral anticoagulant therapy, focusing on the mechanisms of action, pharmacokinetics, clinical indications, monitoring, and management of associated complications. The cornerstone of oral anticoagulant therapy includes vitamin K antagonists …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 1, 2025 · pp. 76–82 Read article
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Literature Review On Nanotechnology In Dentistry
Abstract: Nanotechnology is a relatively new field in dentistry that utilizes nanomaterials, nanorobots, and nanotechnology for diagnosing, treating, and preventing dental diseases. Nanotechnology has revolutionized various fields of dentistry, offering innovative solutions that enhance patient care, improve treatment outcomes, and contribute to the overall advancement of dental science. This cutting-edge technology has found applications in several areas, including restorative dentistry, dental implants, early cancer diagnosis, dental hypersensitivity, and pain management, among …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 · pp. 19–23 Read article
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An Evaluation of the Effectiveness of a Self-Instructional Module on First Aid and Safety Measures for School Children (Aged 11–14 years) at PDR VVP Vidyalaya, Loni
Abstract: Background: School children are active youngsters. India is home to nearly 500 million young individuals, with approximately 370 million being children under 15 years old, highlighting their crucial role as the future of the country. Young children often exhibit naughty, defiant, and impulsive behavior. According to the World Health Organization’s Global report, in the South-East Asia Region, road traffic accidents, drowning, burns, and other injuries are leading causes of child …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 1, 2025 · pp. 17–22 Read article
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AI and IoT in Sustainable Agriculture: A Review
Abstract: Artificial Intelligence (AI) and Internet of Things (IoT) integration have transformed the world of sustainable agriculture, presenting new ways of resource optimization, increasing crop yields, and making environmental sustainability more accessible. The current literature review analyzes the applications of AI and IoT in three significant agricultural systems: aquaponics, hydroponics, and poultry farming. By critically analyzing recent studies, this paper emphasizes how deep learning- enabled computer vision techniques allow for the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 32–45 Read article
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Nutritional Influence on Gut Health and Immune Function: An Integrative Perspective
Abstract: The study of nutrition, gut health, and immune function is fast changing and has major implications for disease prevention and management. A varied microbiome in the gut regulates immune responses. A balanced diet with fiber, polyphenols, and important nutrients maintains a healthy gut flora, which regulates immune function and inflammation. Dysbiosis, an imbalance in the gut microbiota, is connected to autoimmune, allergic, and inflammatory bowel illnesses. New research reveals that …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 30–44 Read article
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Exploring Psychotropic Trends of Medication Use in Psychiatric Outpatients: An Observational Study at a Tertiary Care Hospital
Abstract: Background: Psychotropic medications are essential in managing a wide range of psychiatric disorders, including depression, anxiety, bipolar disorder, and schizophrenia. Prescribing habits in outpatient clinics can differ a lot depending on things like the patient’s age, background, and medical conditions. Aim: This study aims to explore the trends in psychotropic medication use among psychiatric outpatients at a tertiary care hospital, with a focus on understanding prescribing patterns, demographic factors, and …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 2, 2025 · pp. 15–23 Read article
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Experimental Investigation Mechanical Behaviour of Composite Made by Carbon Fibre Mixed with Zro2 and Phenolic Resin
Abstract: Composites are one of the major research criteria in aerospace technologies to fulfil the present needs. Addition of materials to carbon fibers without increasing of weight of the parts Nano and micro fillers have its own criteria in improving mechanical properties. ZrO2 particles added to carbon fibers can improve the strength with a light add up in density. Present study focused on the mechanical behavior of zirconium oxide addition to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 562–573 Read article
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Viscoelastic Behavior and Wrinkle Formation in Cotton- Polyester Garments: A Data-Driven Approach for Textile Care
Abstract: This study investigates the wrinkle behavior of cotton-polyester blended fabrics by analyzing data from over 1,200 store-handled garments. Integrating concepts from polymer chemistry and computer vision, it aims to establish a smart textile care framework based on fiber-specific wrinkle characteristics. The research identifies how cotton’s hydrophilic and non-elastic structure results in increased wrinkling, while polyester’s thermoplastic and crystalline properties enhance wrinkle resistance. Elastomeric fibers like Lycra contribute to wrinkle recovery …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 50–60 Read article
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A Review of the Role of Fiber Supplements in Digestive Health and Weight Management
Abstract: The essential component of a nutritious diet is dietary fiber which enables body weight regulation and maintains digestive system health. Several supplements derived from fiber have gained popularity during recent years since they help improve gut health while controlling weight and preventing metabolic diseases. The two major groups which make up fiber are soluble and insoluble fibers that impact the body differently. The soluble fiber components psyllium inulin and beta-glucans …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 2, 2025 · pp. 24–35 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitates the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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IoT Based Air and Sound Pollution Monitoring System
Abstract: One of the most important and significant elements influencing human lives and health, as well as the health of living things and the natural or constructed environment, is environmental pollution. The low- cost environmental pollution monitoring system described in this study will be used to measure temperature, dust, sound pollution, and highly toxic gases such as CO2, CO, and CH4. It was created based on user needs to identify and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 2, 2025 · pp. 6–12 Read article
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Infection Control awareness among Nursing students: Descriptive Insights from Ongoing Clinical Orientations in Odisha
Abstract: Background: Effective infection control practices are critical in preventing healthcare-associated infections (HAIs). Aim: This study aimed to assess the awareness regarding effective infection control measures among student nurses undertaking their initial clinical orientations at Hospitals. Method: The study accepted 64 respondents from II-year BSc Nursing, sampled in clusters from selected Hospitals, Odisha. Results: The students yielded a mean awareness score of 0.69, categorized as Good. A comparison revealed that female …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 15–20 Read article
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Recent Advances and Future Prospects in Digital Twin Technology for Battery Management Systems of Electric Vehicles
Abstract: Digital twin technology in battery management systems (BMS) for electric cars (EVs) represents a major development in the automotive industry. Digital twins provide predictive maintenance, modelling, and real-time monitoring by creating virtual copies of real-time monitoring, actual battery systems. This paper describes the functional components, architecture, and design of Digital Twin technology along with how it may be included into BMS. Emphasizing how consistent data flow from sensors improves battery …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 Read article
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Impact of Training Program on Recent Innovations in Oncology Among Nursing Professionals
Abstract: Introduction: In recent years, there have been significant advancements and trends in the field of oncology treatment in India. This study aimed to evaluate impact of training program on knowledge regarding recent innovations in oncology among nursing professionals. After ethical approval, a pre-experimental, one group pretest- post-test design was used to conduct this research at anursing college of Punjab. Methods: The sample was selected using the total enumerative sampling technique. …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 9–14 Read article
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Role of Fatigue and Creep in Structural Damage: A Comprehensive Review
Abstract: Fatigue and creep are two critical degradation mechanisms that significantly influence the structural integrity and longevity of engineering materials. These phenomena arise due to different loading and environmental conditions but often coexist in various industrial applications, leading to severe material degradation over time. Fatigue primarily results from cyclic loading, where repeated stress variations induce microstructural damage and crack initiation, ultimately causing catastrophic failure. Conversely, creep occurs under sustained stress at …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 22–26 Read article
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The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article