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1790 articles for “RANS”
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Studies on Extraction of Quercetin Flavonoid from Combination of Different Parts of Acanthus ilicifolius (Indian Mangrove)
Abstract: Medicinal plants constitute an essential natural resource for the treatment of chronic illness. It is possible to treat the same illness using various medicinal plants; the decision is frequently influenced by the nation in which the disorder is most frequent. Acanthus ilicifolius is an Indian mangrove and belongs to Acanthaccae family and grows in the coastal zone. It comprises of a wide range of phytochemicals and exhibits numerous biological characteristics. …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 1, 2025 · pp. 35–40 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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Computational Biomodeling: Transforming Drug Design with Advanced Simulations
Abstract: Computational biomodeling has emerged as a transformative approach in the field of drug discovery, significantly enhancing the efficiency and precision of identifying and optimizing potential drug candidates. This article explores the various computational techniques utilized in drug design, including molecular docking, molecular dynamics (MD) simulations, free energy calculations, and virtual screening, and examines how these methods collectively contribute to the drug development process. The integration of these advanced simulations allows …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 24–29 Read article
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Awareness and Knowledge of Postpartum Psychosis Among Antenatal Women: A Call for Educational Intervention
Abstract: Postpartum psychosis (PP) is a rare yet critical mental health disorder that poses serious risks to the well-being of new mothers. This condition manifests through a range of acute symptoms, including manic episodes, depressive states, confusion, hallucinations, and delusions. Symptoms typically present abruptly within the first two weeks following childbirth, making it a medical emergency that necessitates urgent care. Left untreated, PP can lead to severe consequences, including self-harm or …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 125–134 Read article
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A Comprehensive Review on Pharmacological Properties of Coumarins
Abstract: Coumarins are a diverse group of secondary metabolites found in a variety of plant species (over 1200 different coumarins have been identified from natural sources, especially plants), as well as in fungi and microorganisms. Coumarin is a simple, widely occurring chemical structure in nature, present in many plants, fungi, and bacteria. In recent years, these natural compounds have attracted growing interest from the scientific community due to their broad spectrum …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 2, 2024 · pp. 12–17 Read article
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Gene Therapy in Modern Medicine: Promises and Challenge in Treating Genetic Diseases
Abstract: Gene therapy is a medical approach that focuses on altering or adjusting an individual’s genes to treat or prevent illnesses. The aim is to repair faulty genes or insert new ones into the body to combat diseases. Gene therapy can involve directly introducing modified or new genes into a patient’s cells or altering the genes already present in the patient’s body. This approach shows potential for treating a range of …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 2, 2024 · pp. 27–32 Read article
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An Investigation to Evaluate the Awareness of Obesity and Its Long-term Consequences Among Adolescents from a Chosen Higher Secondary School in Bagalkot
Abstract: Using descriptive research methodology and a descriptive survey strategy, teenagers from a selected higher secondary school in Bagalkot were asked to rank their awareness of obesity and its long-term implications. To satisfy the objectives of the study and assess teenagers’ knowledge of obesity in light of the nature of the issue, a systematic, self-administered knowledge questionnaire was created. Interaction with guides and experts in the nursing and medical domains verified …
Published in International Journal of Community Health Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 33–37 Read article
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Examining the Role of Synthetic Biology in Cellular Restoration Mechanisms
Abstract: Synthetic biology has emerged as a transformative field with the potential to revolutionize cellular repair mechanisms, offering innovative solutions to repair damaged DNA, stabilize proteins, regenerate tissues, and treat a wide range of diseases. By combining principles from genetic engineering, biotechnology, and computational biology, synthetic biology enables the design of cellular systems capable of performing functions that repair cellular damage and restore normal cellular processes. This article explores the application …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 19–29 Read article
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Parkinson’s Disease Detection on Spiral Images Using CNN with Meta-Classifiers
Abstract: In this work, we provide a detailed method for identifying Parkinson’s Disease (PD) by integrating Convolutional Neural Network (CNN) and meta-classifiers. Through the utilization of a varied dataset consisting of handwritten spiral images, our methodology demonstrates commendable accuracy across a range of models. Specifically, our CNN model with meta-classifiers surpasses alternative approaches, achieving an impressive accuracy rate of 95.07%. By utilizing pre-established VGG16 and ResNet50 architectures as bases, the region-based …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 55–66 Read article
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Web-based Rental Application for Leasing and Renting Daily Utilities
Abstract: This project addresses the challenges posed by a cluttered online marketplace, specifically catering to the everyday needs of our local community. We propose a user-friendly website designed as a one-stop solution for borrowing, renting, and buying a wide range of items. Existing platforms often lack organization, forcing users to navigate multiple channels to find what they need, leading to wasted time and effort. Our website is built to overcome this …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 77–83 Read article
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Fake News Detection System Using MultinomialNB and Django Framework
Abstract: The emergence of the World Wide Web and the rapid growth of online platforms have transformed the landscape of news dissemination. However, the rise of social media has also led to an overwhelming influx of potentially unreliable information, making it increasingly challenging to verify the truthfulness of articles. This verification process has become a daunting task, necessitating a thorough examination of various domain-specific aspects to ascertain the credibility of news …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 23–32 Read article
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Enhancing Efficiency and Adaptability of Double Pipe Heat Exchangers: Design and Implementation Perspectives
Abstract: The present study focuses on exploring the intricacies of twin pipe heat exchangers, highlighting their versatility and efficiency in various industrial applications. Twin pipe heat exchangers consist of concentric pipes through which fluids flow in opposite directions, enabling effective heat transfer across significant temperature gradients. This design is particularly advantageous in scenarios involving low flow rates or highly viscous fluids, as well as moderate heat loads. One of the key …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 1, 2025 · pp. 63–70 Read article
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Quad-Band Notched Small Monopole Antenna with U-shaped Slots and SRRs for UWB Applications
Abstract: A quad-band notched small monopole antenna with U-shaped slots and SRRs for UWB applications is presented in this study. The quadruple band-notched characteristics can be achieved by embedding three U-shaped slots on the radiation patch and two split ring resonators (SRRs) near feed line, respectively. It has a tiny size, only 17 mm23 mm0.508 mm. The experimental and measured results demonstrate that the proposed antenna offers an impedance bandwidth across …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 1, 2025 · pp. 21–31 Read article
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Global Robotics Market Dynamics: Trends, Growth, and Future Projections Based on Machine Learning
Abstract: Robotics is advancing rapidly, fueled by technological innovations and a wide range of applications. In 2020, the global robotics market reached a valuation of $40 billion, with industrial robotics comprising $25 billion. Robots are increasingly being utilized in manufacturing, driving automation and enhancing efficiency. Countries like South Korea, Singapore, and Germany are leading in robot density, highlighting their role in enhancing productivity and competitiveness. The analysis presented in this paper …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 01–08 Read article
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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Simulation and Analysis of Battery Pack Using the Multi Scale Multi-Domain Battery Model
Abstract: The creation of sophisticated simulation models has been made necessary by the need for reliable and effective battery packs in energy storage systems and electric vehicles. This study focuses on the simulation and analysis of battery packs using a multi-scale multi-domain battery model. The model enables a thorough knowledge of battery pack behavior across a range of operating situations by integrating the electricity, thermal, and mechanical domains. Multi-scale modeling bridges …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 2, 2024 · pp. 31–46 Read article
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Descriptive Study to Evaluate Attitudes Toward Teenage Pregnancy Among Nursing Students in a Selected College in Virudhunagar
Abstract: This study aimed to explore the attitudes of nursing students toward teenage pregnancy, focusing on a specific college in Virudhunagar. A purposive sampling technique was employed to select 50 participants using non-probability sampling methods. Data were gathered through a structured questionnaire based on a 5-point Likert scale, comprising 10 statements with response options ranging from "strongly disagree" to "strongly agree." The data collected were systematically organized, tabulated, and analyzed using …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 22–27 Read article
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Application of DTMF and Zigbee Wireless Communication in a Smart Home
Abstract: This paper presents the method of monitoring and controlling the smart devices in a smart home using dual-tone multi-frequency (DTMF) signal and Zigbee wireless communication. Today most of homes are equipped with relatively prefect phone lines. Thus, DTMF is very helpful in decreasing the cost of smart homes. DTMF is a signal used in the telephone network in calling with numbers. If this is used, not only can we control …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 3, 2024 · pp. 1–10 Read article
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Effects of Kangaroo Mother Care on the Physiological, Behavioral, and Psychosocial Outcomes of Preterm Infants in Various Hospitals in Karnataka
Abstract: Background: Kangaroo mother care (KMC) is a technique that encourages skin-to-skin contact, offering various physiological, behavioral, and psychosocial benefits for preterm infants. The objective is to assess the impact of KMC on the physiological, behavioral, and psychosocial development of premature babies. Study Design: This was a quasi-experimental research investigation. Materials and Methods: A purposive sample of sixty premature infants and their mothers was drawn from neonatal intensive care units (NICUs) …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 10–19 Read article
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The Therapeutic Potential of Nutraceutical in Diabetes Management: A Comprehensive Review
Abstract: Diabetes is a long-term and complex condition characterized by high blood sugar levels resulting from inadequate insulin production, ineffective insulin function, or a combination of both. Various nutraceuticals used in clinical settings have shown beneficial impacts on a range of biochemical and clinical markers related to diabetes. In many traditional medical systems, hypoglycemic agents derived from plants are used to treat, manage, and prevent diabetes mellitus. These plant extracts have …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 1, 2025 · pp. 20–27 Read article