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1957 articles for “DEM” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Exploring The Therapeutical Potential Of Pongamia Pinnata For Herpes Simplex Virus Type 1 (HSV-1)
Abstract: Objective: Pongamia pinnata (L.), commonly known as Indian beech or pongam tree, is a tropical plant renowned for its medicinal properties in traditional medicine systems. Extracts derived from various parts of Pongamia pinnata have demonstrated antimicrobial, anti-inflammatory, and immunomodulatory activities. Such attributes make it a compelling candidate for exploring its therapeutic potential against HSV infections. Thymidine kinase is the target protein mostly used in the treatment of HSV1 infections. In …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 1, 2025 · pp. 1–9 Read article
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Design Optimization of Linseed Thresher for Higher Efficiency
Abstract: Linseed, a valuable Rabi crop grown for both grain and fiber, has seen rising demand across industries, boosting interest in optimizing its production processes. Recognizing this, SVCAET and RS at IGKV Raipur conducted a study focused on improving the design and efficiency of linseed threshing technology. The research aimed to develop an optimized head cut type linseed thresher, addressing both design and performance factors. Three distinct prototypes were designed, varying …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 24–32 Read article
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Ruesi Datton: Exploring the Ancient Wisdom and Modern Applications of Thai Yoga
Abstract: Ruesi Datton, often referred to as Thai Yoga, is a traditional Thai practice with deep cultural and therapeutic significance. Rooted in Thai Buddhist and monastic traditions, it combines stretching, self-massage, breath control, and meditation to promote holistic well-being. Unlike other forms of yoga, Ruesi Datton emphasizes self-care through its simple, accessible techniques, making it suitable for all ages and physical conditions. This review explores the philosophical foundations, practical techniques, and …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 3, 2024 · pp. 42–46 Read article
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Environmental Horticulture: Pathways to Sustainability and Climate Resilience
Abstract: Environmental horticulture represents a multidisciplinary approach that combines plant cultivation, landscape management, and sustainable practices to address pressing global environmental challenges while promoting ecological and societal well-being. This study delves into key themes such as sustainable horticulture, urban agriculture, vertical farming, hydroponics, aquaponics, and their significant contributions to biodiversity conservation, soil and water preservation, and climate change mitigation. The integration of innovative practices like green roofs, living walls, and biophilic …
Published in International Journal of Trends in Horticulture · Vol. 1, Issue 2, 2024 · pp. 33–38 Read article
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Performance Analysis of Heat Pump and Air Conditioning System Using R-32 Refrigerant & Theoretical Comparison With R-290 Refrigerant
Abstract: An extensive performance analysis of a heat pump air conditioning system for both cooling and heating applications is included in this research. The purpose of the research is to assess the system's overall performance, energy consumption, and efficiency under various operating scenarios. The research incorporates a range of experimental techniques. An overview of the heat pump air conditioning system's parts and operation is given at the outset of the examination. …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 3, 2024 · pp. 14–21 Read article
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Integrative Machine Learning Approaches for Predicting the Rheological Behaviour of Soft Magnetorheological Elastomers
Abstract: Magnetorheological Elastomers (MREs) are advanced composite materials known for their ability to alter mechanical properties under external magnetic fields, making them highly valuable in adaptive damping systems, vibration control, and smart devices. The accurate prediction of rheological behavior in soft MREs remains a significant challenge due to the complex interplay between material composition and magnetic fields. To address this challenge, this study employs a multi-pronged approach that integrates traditional material …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1083–1096 Read article
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Zoology in Forensic Science: Unraveling Mysteries through Animal Clues
Abstract: Traditionally, forensic wisdom has been grounded on mortal substantiation similar as fingerprints, DNA, and bloodstains to unravel the riddle of crimes. There's important untapped eventuality in the beast area that could unravel mystifications and bring culprits to justice. This composition explores the instigative area of crossroad of zoology and forensic wisdom by demonstrating how suggestions from creatures can be significantly contributed to felonious examinations. From beast poisons in analysis to …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 1, 2025 · pp. 37–49 Read article
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Experimental Investigation of OPC Concrete with Incorporation of Glass Powder as Partial Substituent Material.
Abstract: This study presents an experimental survey aimed at evaluating the viability of incorporating glass powder (GP) as a partial substitute for cement in concrete matrix. The research focuses on assessing the effect of this sustainable alternative in concrete by investigating the various properties of fresh concrete such as workability, mechanical and durability aspects. Specimens were prepared with GP replacement to cement at 5%, 10%, 15%, and 20% levels, with comparative …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1058–1068 Read article
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Automating Compiler Optimization: A Machine Learning Approach
Abstract: This study reports on an ML-based approach to compiler optimization, complementing traditional optimization methods that rely strongly on hand-tuned settings. Compiler optimization plays a key role in performance-speedup and energy optimization of complex contemporary software systems. However, the traditional approach to optimizer settings involves laborious, error-prone, and scale-insensitive human-in-the-loop intervention, especially in the complex and high-demand environments in which today's computing application thrives. By integrating RL and GA, we can …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 12–16 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article
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Aerodynamic Influences on Structures with Varied Plan Configurations
Abstract: The wind-induced effects on tall buildings demonstrate a level of unpredictability, attributed to the intricate influence of the building's plan shape on the distribution of wind loads. The oscillations experienced by tall structures, both longitudinally and laterally, are influenced by factors such as wind direction, building configuration, height, and structural characteristics. This investigation is centred around examining the impact of wind on tall buildings featuring diverse plan cross-sectional shapes. The …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 377–388 Read article
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AI-Powered Fire Detection System for Accurate and Timely Emergency Response
Abstract: AI-based fire detection system leverages deep learning and Open CV. Issues with conventional fire detection techniques include false alarms and expense. The proposed system uses deep learning for real-time fire detection in videos, enhancing accuracy and adaptability. OpenCV aids in crowd counting, improving situational awareness during emergencies. This innovation promises to revolutionize fire safety by offering timely and precise detection, potentially saving lives and property. Additionally, by counting crowds, the …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 30–36 Read article
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A Study to Evaluate the Effectiveness of a Computer-assisted Teaching Program on Knowledge About the Distribution and Use of Iron and Folic Acid Tablets During the Antenatal Period Among Primigravida Mothers in Selected Villages of Holenarasipura Taluk, Karnataka
Abstract: Pregnancy is a critical period in a mother’s life, and proper knowledge about managing pregnancy is essential for maternal and fetal health. This study aimed to evaluate the effectiveness of a computer-assisted teaching program in improving knowledge about the distribution and use of iron and folic acid tablets among primigravida mothers in selected villages of Holenarasipura taluk. A one-group pre-test and post-test pre-experimental design was employed, using non-probability convenience sampling …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 28–40 Read article
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Mathematical Modeling Analysis of India's Accident &Use of Fly Ash and Polymers in Road Safety
Abstract: Accident predicting models (APMs) are exceptionally strong tools for adaptation and mitigation strategies because they have the ability to predict both the severity and frequency of crashes. Road accidents are a major problem all throughout the world, especially in developing countries. Understanding the key variables that contribute can assist in reducing the frequency of traffic collisions. This study also discovered recent developments on fly ash, green composites, other polymer materials …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 488–499 Read article
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Evaluation of Small Vessel Disease by Advanced Brain Imaging
Abstract: Studying and comprehending brain small vessel disease requires extensive imaging. Recent applications of cutting-edge brain imaging techniques have led to the discovery of several significant results. Diffusion-weighted MRI studies have demonstrated the diagnostic accuracy of using clinical features alone or in combination with CT scan results to identify small vessel disease as the underlying cause is suboptimal in patients with acute lacunar syndromes. Acute infarcts caused by small vessel disease …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 15–19 Read article
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Real-Time Supply Chain Monitoring with Blockchain: A Decentralized Approach
Abstract: This study presents the development and implementation of a Blockchain-Enhanced Shipment Management and Tracking System (SMTS) to address key challenges in the logistics and shipping industry, such as inefficiencies, lack of transparency, security concerns, and high operational costs. Utilizing blockchain technology, particularly Hyperledger Fabric, the SMTS creates a decentralized, immutable ledger that enhances real-time shipment tracking, ensures data integrity, and improves security by reducing fraud and unauthorized tampering. Smart contracts …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article
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The Effect of Packaging Design Elements on Purchase Intention of Junk Food Among College Students
Abstract: This research investigates the impact of packaging design elements on the purchase intention of junk food among college students. Recognizing the influence of visual appeal on consumer behavior, particularly within young adult demographics, this study aims to identify which specific packaging elements, such as color, imagery, typography, and branding, resonate most with college students when choosing junk food. A descriptive survey method was used, targeting students in Delhi NCR, with …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 3, 2024 · pp. 39–47 Read article
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A Study to Assess the Prevalence of Self-medication and Its Associated Factors Among Pregnant Women in Selected Tertiary Care Teaching Hospital at Kuppam, Chittoor District, Andhra Pradesh
Abstract: Self-medication, the practice of using medications without a doctor's prescription, is a growing global public health issue, particularly in resource-limited settings. In pregnancy, self-medication can pose serious risks, including misdiagnosis, incorrect dosages, drug interactions, and prolonged use. This study aimed to assess the prevalence of self-medication, and the factors associated with it among pregnant women at a tertiary care teaching hospital in Kuppam, Chittoor district, Andhra Pradesh. A descriptive cross-sectional …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 41–48 Read article
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A Study to Evaluate the Knowledge of Menstrual Cups Among Engineering Students at Selected Colleges in Kuppam, Andhra Pradesh
Abstract: Background and Aims:Menstrual cups are an eco-friendly and cost-effective alternative to sanitary pads, yet they have not gained widespread popularity among Indian women. This study aims to evaluate the knowledge of menstrual cups among engineering students at selected colleges in Kuppam, Andhra Pradesh, to better understand awareness and acceptance of this alternative menstrual product. Materials and Methods: A cross-sectional descriptive research design was employed. A total of 143 engineering students …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 45–52 Read article
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Optimizing Image Processing with Verilog on FPGA: Techniques and Performance Enhancements
Abstract: The integration of image processing algorithms into hardware platforms, particularly FPGAs, presents a compelling opportunity for achieving high performance, low latency, and power efficiency in real-time applications. This study focuses on designing and implementing Verilog HDL-based optimal image processing methods for FPGA-based systems. The study explores the development of core algorithms, including edge detection, image enhancement, and adaptive filtering, to maximize resource utilization and processing speed on hardware platforms. Key …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 46–53 Read article