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1920 articles for “research” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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ISGylation: A Key Host Cellular Defense Mechanism
Abstract: ISGylation, a crucial process of the innate immune response, has garnered increasing attention for its involvement in host's defense against pathogenic infections as well in cancer progression. The key player of ISGylation, ISG15, is stimulated by type I interferons (IFNs). ISG15 covalently binds with viral (influenza NS1A and nucleoproteins) and host (Nedd4, filamin B and CHMP5) target proteins and this interaction inhibits the viral replication process and release of viral …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 68–80 Read article
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Crop Yield Prediction Using Machine Learning Algorithm Based on Climate Variables
Abstract: India's economy is based primarily on agriculture, as over 50% of the country's population depends on it for their livelihood. The long-term viability of agriculture is seriously threatened by variations in the weather, climate, and other environmental factors. Because machine learning provides tools for decision assistance in agricultural yield prediction, including guidance on which crops to plant and when to plant them during the growing season, it is essential to …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 49–52 Read article
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Drive Line for Plug-in Electric Vehicle with PMSM Motor and Hydrogen Fuel Cell
Abstract: In the era of transportation, the best effort will be to replace conventional fossil fuels. Instead, the usage of fossil fuels will give way to renewable energy sources and other clean energies. Many institutions promote the developments and research in the area of hydrogen fuel cell development. This paper passes through the hydrogen fuel cell area as the primary source considered here is a hydrogen fuel cell. Since electric motors …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 32–49 Read article
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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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Advanced Private Cloud Security and Privacy Preservation Through the Integration of Machine Learning and Cryptography
Abstract: In modern technological landscapes, private cloud security is of paramount concern due to the ever-increasing volume and complexity of cyber threats. This research work explores the integration of machine learning and cryptography to enhance security within private cloud environments. This study aims to mitigate vulnerabilities that may compromise data integrity, confidentiality, and availability in private cloud infrastructures by using machine learning algorithms and strong cryptography. By detecting anomalous cloud patterns …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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Study to evaluate and correlate the levels of heavy metals in dental calculus of burnt tobacco (Mishri) users and non-tobacco users with their periodontal status Using Atomic Absorption Spectrometry (AAS)
Abstract: The use of burnt tobacco products, such as Mishri, is associated with numerous health risks, including periodontal diseases. Heavy metals present in tobacco can accumulate in dental calculus, potentially exacerbating periodontal conditions. This study aimed to assess and establish a correlation between the levels of heavy metals present in dental calculus among burnt tobacco (Mishri) users and non-tobacco users, in relation to their periodontal health status. Utilizing Atomic Absorption Spectrometry …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 166–174 Read article
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Drone Swarms: An overview and working in network control systems
Abstract: The review of multi-agent systems, including drone swarms, has gained momentum due to their ability to exhibit cooperative behavior. Automating the control of a drone swarm poses substantial challenges due to the diverse wireless, networking, and environmental constraints each drone faces. To address these challenges, we treat drone swarms as Networked Control Systems (NCS), integrating the overall system control within a wireless communication network. This approach relies on a strong …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 13–35 Read article
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Knowledge About the Noscomial Infection, Their Control and Prevention Procedures Followed at Matrisadan Complex UPHC 04 Rajpur-Sonarpur Municipality, Kolkata, West Bengal
Abstract: In this research work, a detailed study about Nosocomial infection has been done. Different Nosocomial infections have been discussed and a detailed study about prevention of Nosocomial infection has been done in one of the government healthcare facilities, named as UPHC 4 Rathtola Matrisadan, Rajpur-Sonarpur Municipality, Kolkata-700150. The study aims to highlight effective prevention strategies and measures implemented at this facility to control the spread of infections within the healthcare …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 27–36 Read article
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Prevalence and Distribution of Staphylococcus Aureus in Clinical Samples Across Age Groups
Abstract: The bacteria that cause everything from ordinary skin infections to serious illnesses is called Staphylococcus aureus. It is now known that Staphylococcus aureus may develop resistance to a variety of drugs. Staphylococcus aureus has been displaying an unusual kind of resistance to antibiotics, especially to those based on β-lactum. As a result, Methicillin Resistant Staphylococcus Aureus (MRSA) is the new name for the resistant strain of Staphylococcus aureus. The prevalence …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 15–19 Read article
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Effect of Yogic Training on Selected Physiological and Psychological Variables of Sports persons.
Abstract: The primary objective of this research endeavor was to investigate the impact of Yogic training on specific physiological and psychological parameters among sportspersons. A sample comprising 50 sportspersons (25 male and 25 female), aged between 18 to 25 years, was randomly selected from Ahmedabad for the study. The intervention involved four weeks of Yogic training, during which data were collected at two time points: before the commencement of training (pre-test) …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 2, 2024 · pp. 35–39 Read article
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Exploring the Botanical and Pharmacological Significance of Aristolochia rotunda Linn (Zarawand Mudahraj): Traditional Uses, Habitat, and Bioactive Potential
Abstract: The plant Aristolochia rotunada Linn (Zarawand Mudahraj) is a member of the Aristolochiaceae family. Its rhizomes are the most valuable portion utilised in the pharmaceutical industry, mostly because of their abundance in bioactive compounds. The medicinal plant Aristolochia rotunda Linn exhibits a spectrum of pharmacological activities essential for combating hyper-uricaemia-induced inflammation. Its anti-inflammatory effects are mediated by inhibiting TNF-α, IL-1β, IL-8, and NF-κB p65 protein expression, crucial in synovial tissue. …
Published in Research & Reviews : Journal of Herbal Science · Vol. 13, Issue 2, 2024 · pp. 33–39 Read article
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Reaching Conditions for Discrete-time Sliding Mode Control: Analysis and Design
Abstract: Sliding mode control (SMC) is a robust control method widely used in engineering due to its ability to handle uncertainties and disturbances effectively. In discrete-time sliding mode control (DSMC), system trajectories are constrained to sliding surfaces in the state space, leading to improved performance and stability. This paper provides an overview of DSMC, focusing on its applications, advantages, and limitations. It discusses the use of DSMC in various engineering fields …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 7–14 Read article
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Exploring the Future of Smart Homes: Voice Control Technologies and Applications
Abstract: With the use of voice commands, smartphones, and the Internet of Things, homeowners may utilise an intelligent house automation system, a technology-driven solution, to control and automate a variety of home systems and gadgets from a central hub. The system typically includes equipment such as smart thermostats, smart lighting, smart locks, security systems, and entertainment systems. With the increasing prevalence of IoT, smart homes have become increasingly popular, and automation …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 31–37 Read article
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Machine Learning Approaches in Breast Cancer Diagnosis: Current Trends and Future Perspectives
Abstract: Since cancer is still one of the world's top causes of death, precise and effective detection techniques must be developed. Machine learning (ML) approaches have shown promise in recent years for enhancing cancer prognosis and detection. This paper presents a comprehensive review of the application of ML in cancer detection, focusing on various modalities including medical imaging, genomic data, and clinical records. We highlight the challenges associated with traditional cancer …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 14–20 Read article
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Developing an AI-Based Novel Forecasting Framework for Surface Irregularity in Metal Matrix Materials
Abstract: Surface irregularity in metal matrix materials (MMM) signifies the deviations from smoothness, influencing structural integrity and performance frequently arising from the manufacturing process along with intrinsic material characteristics that influence effectiveness. Limitations in data, model interpretability and complexity are the difficulties that impede artificial intelligence (AI) based surface irregularity in MMM. In this study, we suggested a novel framework of Gaussian regression fused multi-strategy adaptive boosting classifier (GR-MABC) for the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 48–56 Read article
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Biosorption In Polymer Composites: Harnessing the Potential of Natural Materials for Enhanced Mechanical Properties and Efficient Medical Device Fabrication
Abstract: Biosorption is the process by which natural materials take in substances from their surroundings. It has gotten a lot of attention lately because it could be used in many different areas. One interesting way to use it is in polymer compounds, where adding natural materials can improve their dynamic qualities and make it easier to make medical devices. This article talks about how biosorption and polymer composites work together to …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 06–21 Read article
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To Rule Out the Efficacy of Haridradi Drugs in Respiratory Allergic Disorders in the Childrens.
Abstract: Allergic diseases in children have increased significantly in recent years and they are a major cause of morbidity in the children. Although there is a genetic predisposition, exposure to allergens i.e pollens, irritants, infections, diets and inhalant will determine the sensitization. At present, the best approach to the children who are at high risk for the development of allergies is to introduce environmental and dietary control and adopt early measures …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2024 · pp. 53–60 Read article
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Monitoring eddy current density fluctuation and power management in doped Al 2 O 3
Abstract: Al2O3 nanowire presents fascinating electrical properties which span from insulating (dielectric) to superconducting. A model is designed to describe the Phenomenon of eddy electric current and eddy current density fluctuation. Ohmic type theorem is developed using the modified Green – Kubo theorem. With little modification Green-Kubo theorem is incorporated to explain the relationship between eddy current density, electric field, and electric conductivity. Then factor contributing eddy current density fluctuations are …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 1, 2024 · pp. 35–45 Read article
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Theoretical Study of Surface Waves in Hexagonal Boron Nitride (hBN)
Abstract: Hexagonal boron nitride (hBN) is a wide bandgap semiconductor material in which Boron (B) and Nitrogen (N) atoms form hexagonal structure and has number of robust properties of technological importance. Boron nitride nanotubes (BNNTs) are very nice area of research in recent years. Its structure is similar to carbon nanotubes (CNTs) where carbon atoms are arranged in hexagon. hBN is also known as White Graphene. Various methods are employed to …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 1, 2024 Read article
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A comprehensive review on Sustainable Pathways to Synthesize 2, 5-Furandicarboxylic Acid (FDCA) from 5-Hydroxymethylfurfural (HMF) via Oxidative Processes
Abstract: The increasing global concern over the environmental impact of traditional plastics derived from petroleum and natural gas has spurred a search for more sustainable alternatives. Bioplastics, which are derived from renewable sources and may be biodegradable, have garnered significant interest as eco-friendly materials. Among the promising building blocks for bioplastics, 2,5-Furandicarboxylic Acid (FDCA) has emerged due to its potential to enhance polymer properties. One key precursor for bioplastics, 5-Hydroxymethylfurfural (5-HMF), …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 2, 2024 · pp. 01–13 Read article