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266 articles for “databases”
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Targeting Dystrophin Restoration and Neuroprotection in Duchenne Muscular Dystrophy: Insights from Withania somnifera
Abstract: Duchenne muscular dystrophy is a genetic disorder. This disease affects men more common than women. Main objective of the present study was to identify the naturally active phytocompounds from Withania somnifera (Ashwagandha). Ashwagandha has a great value in the field of Ayurveda and Indian medicine and is used for treating muscular and neurological disorders. Toxicity prediction, molecular docking, statistical information, drug illness prediction, and Absorption, distribution, metabolism, excretion, and toxicity …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 64–84 Read article
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Meta-Analysis on Antibiotic Resistance and Its Irrational Use in India: Need of Antibiotic Stewardship Program Implementation
Abstract: Antibiotic resistance is a major health issue in developing countries. This issue is increasing exponentially due to increased consumption, easy availability of medicine and higher incidence of inappropriate use. Moreover, India stands as one among the highest infectious disease burdened country in the world. This study aims to conduct a statistical analysis to find the association between antibiotic resistance and its irrational use in India. Thereby, emphasizing the need for …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 6–14 Read article
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Trauma- Its Transgenerational Inheritance and Associated Nuances in Perinatal Care: A Systematic Review
Abstract: The research is a systematic review of the existing clinical and animal studies pertaining to effects of trauma on immediate offsprings and its transgenerational inheritance. The research also summarises the current statistical data on perinatal care globally with special emphasis on India as a developing nation and the current strategies, government policies and international recommendations on maternal and child health as put forward in the Sustainable development goal 2030 by …
Published in International Journal of Children · Vol. 1, Issue 1, 2024 · pp. 37–45 Read article
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Depiction-inspired Recipe Generator Using Deep Learning
Abstract: Machine learning has become a crucial part of modern life, influencing various domains. Its applications range from enhancing data-driven business decisions to enabling autonomous vehicles. Advances in machine learning have brought about notable changes in how we interact with technology. In the culinary world, the idea of creating food recipes from images has gained increasing interest. This entails the development of innovative systems that seamlessly convert visual input, such as …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 47–55 Read article
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Integration of IoT and Environmental Science: Vehicle Emission Monitoring Perspective
Abstract: — Since automobiles are the primary source of environmental pollution, an increase in automobile ownership also results in an increase in air pollution. Gases such as methane, butane, LPG, smoke (MQ2), carbon monoxide (MQ7), and hydrogen gas (MQ8) are all released from the vehicle as it smokes. Cars produce around half of the MQ2, MQ7, and one-fourth of the MQ9 in our environment, which contributes to global warming. The number …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 1–9 Read article
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Spirituality-Based Psychotherapies in Relation to Social Media Addiction: A Review
Abstract: Social media addiction has become a pressing concern, characterized by compulsive usage that significantly impacts mental health. In the digital age, where the boundaries between the virtual and the real have blurred, social networking sites (SNS) have emerged as pivotal platforms that shape the lives of young people. Most people's life now revolve around social networking sites, particularly those of teens. Excessive engagement with social media can have adverse effects …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 2, 2024 · pp. 39–47 Read article
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Automated Math Solver Assist with LLM RAG
Abstract: The challenges of solving complex mathematical problems often hinder efficiency in various scientific and engineering domains. This project proposes an innovative solution to these challenges by integrating automated math solvers with large language model (LLM) retrieval-augmented generation (RAG). The proposed system aims to streamline mathematical problem-solving processes, offering a robust and precise tool for real-time recognition, classification, and solution generation. This work provides a novel method of automating the solution …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 25–30 Read article
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A Comprehensive Review on Teaching Students with Learning Disabilities: The Potential of VR and AR Technology
Abstract: In terms of enhancing learning experiences, the use of virtual reality (VR) and augmented reality (AR) in education has shown encouraging outcomes. These technologies offer immersive, interactive environments that are extremely beneficial to students who struggle with learning. to assess how VR and AR affect learning outcomes in general as well as motivation, engagement, and academic performance. We'll examine how these resources might be applied to support children who face …
Published in International Journal of Children · Vol. 1, Issue 1, 2024 · pp. 31–36 Read article
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Multitarget Molecular Docking Using Curcuma longa Phytocompounds for Polycystic Ovary Syndrome Treatment
Abstract: Objective: The primary goal of this research is to understand and describe specific aspects of molecular interaction, it includes studying various aspects such as binding affinity, binding mode, and stability of the ligand-protein complex. Molecular docking is a computational technique used to predict the preferred orientation of one molecule to a second when bound together to form a stable complex. In this study, molecular docking will be employed to stimulate …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 15–28 Read article
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Exploring Moth Diversity in the Ecosystem of Mangalore University Campus, Karnataka
Abstract: The moth is one of the genera of insects of the order Lepidoptera, where butterflies share the same genus. They have nocturnal habits and a high attraction to light. Moths have various sizes, shapes, and colors, with many having duller colors. A study was conducted on the diversity of moth species in Mangalore University campus, Mangalore, Karnataka, for eight months (August 2006 to March 2007). We recorded 39 moths belonging …
Published in International Journal of Insects · Vol. 1, Issue 1, 2024 · pp. 22–29 Read article
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Association Rule Mining for Predicting Heart Disease: Challenges and Opportunities
Abstract: The exponential growth of digital healthcare data has spurred innovative applications of data mining techniques in medical research and practice. Among these, association rule mining stands out for its ability to uncover meaningful correlations within diverse datasets, such as electronic health records, imaging data, and genetic information. This paper reviews the application of association rule mining in predicting heart diseases, emphasizing its potential to enhance early detection, risk stratification, and …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 29–34 Read article
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Comparative Analysis of Data Augmentation Techniques in CNN-based Classification of Atelectasis
Abstract: This research delves into the critical issue of atelectasis, its causes, and potential complications if left untreated. Leveraging deep learning algorithms, particularly convolutional neural networks (CNN), the paper explores their application in medical image analysis, focusing on the detection of atelectasis using the “chestX-ray8” database. The study compares various data augmentation techniques for improved accuracy, showcasing the importance of augmentation in enhancing model generalization. Through meticulous experimentation and evaluation, the …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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A Traditional Indian Unani Dynamic Drug Amla (Emblica Officinalis) And Its Unani Pharmacological Activities In The Light of Recent Experimental Studies: A Comprehensive Review
Abstract: Since ancient times, plants have been essential to human development, serving as a primary source of natural remedies. The challenges associated with producing synthetic medications, along with their potential side effects and high costs, have driven researchers around the world to focus on the study of medicinal plants. In recent years, numerous publications have highlighted the role of plant-derived bioactive compounds in treating a wide range of human ailments, underscoring …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 3, 2024 · pp. 21–29 Read article
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Social Determinant in Health : Epidemiological study of communicable diseases, Demography and Mortality rate.
Abstract: Introduction: Social Determinants of Health (SDH) significantly influence the spread and prevalence of communicable diseases. Factors such as poverty, income inequality, healthcare access, education, employment, location, and social connections shape disease transmission within populations. Additional factors like age, gender, migration, and urbanization further explain the relationship between SDH and public health. Mortality rates, including life expectancy, infant mortality, and access to clean water and sanitation, are deeply affected by these …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 41–56 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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In Silico Analysis and Docking Study of the Active Phytocompounds of Bacopa monnieri Against Alzheimer Disease
Abstract: Objective: Alzheimer’s is a neurodegenerative disease and is the cause of 60–70% of cases of dementia. It infected a million people worldwide. An effort was undertaken to explore the potential of natural compounds found in Bacopa monnieri, a plant renowned for its extensive medicinal properties in Indian Ayurveda, to combat the disease. This was achieved through molecular docking studies, evaluation of drug-likeness, and comprehensive ADME (absorption, distribution, metabolism, and excretion) …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 1–13 Read article
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Molecular Docking of Saraca asoca (Ashoka) Phytocompounds for Ovarian Cancer Therapy
Abstract: Objective: One of the top five cancers that causes death in women is ovarian cancer, with increases awareness till date the rate of survival is unpredictable. Even though there are advance treatments introduced, chemotherapy is most suggested to the ovarian cancer patients but the rate of relapses increased and the tumors get resistant towards the drugs. This present study is to evaluate the interaction of phytocompounds from Saraca asoca an …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 2, 2024 · pp. 27–35 Read article
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Machine Learning-Driven Force Analysis for Tool Wear Prediction Systems
Abstract: A system designed to forecast tool wear by utilizing a force sensor to monitor the wear of the tool's flank and applying a Convolutional Neural Network (CNN) for forecasting purposes. The methodology is demonstrated through experiments in milling, utilizing dry machining with a ball endmill on a stainless-steel component. The flank wear of the tool is directly assessed using a digital microscope throughout the operation. The forecasts produced by the …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 16–25 Read article
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A Bibliometric Review of Sustainable Engineering of Last 30 Years: Emerging Circular and Green Polymer Science
Abstract: The application of sustainable engineering is a ground-breaking strategy for the long-term enhancement of the human condition. A holistic understanding is required for inviting more research on this topic therefore, this study intent to provide a decentralized framework with the aid of a bibliometric evaluation to examine the research trend on sustainable engineering. The study also contributes to the body of literature by providing insights into a robust, reliable thematic …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 405–416 Read article
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Digital Modules of the Green Buildings to Study Protection of Air Quality
Abstract: The aims of this study are to simulate air flows inside and around multi-storey green building spaces together with the distribution of concentrations of harmful substances and microorganisms to increase the sustainability of design solutions for green modules. Among the objectives of the study are assessment of bioclimatic comfort, risk analysis of bioclimatic eco-safety in the framework of aeration and pollution modeling, as well as eco-optimization of building design, which …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 838–846 Read article