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1993 articles for “D’Alembert’s principle” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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In Silico Analysis and Docking Study of the Active Phyto Compounds of Ginkgo Biloba Against Alzheimer's Amyloid-Beta Protein
Abstract: Objective: Alzheimer's disease, an age-related progressive neurological condition, arises due to the accumulation of amyloid-beta protein within the brain. In this study, an attempt was made to explore the potential of natural compounds derived from Ginkgo, known for their diverse medicinal properties, in the prevention of the disorder by employing molecular docking techniques, conducting drug-likeness prediction assessments, and performing ADME analysis. Methods: Amyloid beta protein was retrieved from the PDB …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 1, Issue 2, 2023 Read article
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DMARDs, Biologic Agents and Novel Experimental Strategies in The Treatment of Rheumatoid Arthritis
Abstract: An inflammatory and autoimmune disease, rheumatoid arthritis (RA) causes severe pain and inflammation in affected areas of the body. According to the report, there is no known cure for RA. Therefore, reducing discomfort and halting future harm must be the goals of present therapy. For the purpose of prevention and to reduce disease activity in RA patients, significant success has been achieved with the continued development of disease-modifying antirheumatic drugs …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 14–24 Read article
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Assessing Vitamin D Levels in Fortified Foods and Supplements for Infants and Its Impact: A Review
Abstract: In this study, the vitamin D levels in fortified foods (including follow-on formula, baby porridge, and curd cheese dessert) and dietary supplements designed for infants were examined. Analytical assessments uncovered variations in vitamin D concentrations compared to the labeled values, fortified foods contain anywhere from 50% to 153% for supplements 8% to 177%. Instant follow-on formula and oil-based supplements typically aligned with or surpassed the labeled values, whereas ready-to-eat baby …
Published in International Journal of Nutritions · Vol. 1, Issue 1, 2024 · pp. 19–24 Read article
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Freshwater Resources in Delhi: A Decadal Analysis of Land Use Changes
Abstract: The escalating global concern over the pollution of freshwater resources, driven by the amplifying stress and scarcity of freshwater, underscores the significance of this study. The investigation examined the alterations in land use and land cover (LULC) in Delhi, concurrently assessing the coliform count in water sources designated for drinking and other purposes. LANDSAT 7 satellite imagery scrutinized the LULC changes in Delhi over a decade (2011 to 2021) to …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 13–22 Read article
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Disease: A Major Stumbling Block in the Growth of Aquaculture
Abstract: Aquaculture plays a crucial role in ensuring food security, fostering economic development, and providing recreational opportunities worldwide. However, the intensification of aquaculture practices has led to a surge in environmental challenges, including water pollution, soil acidification, eutrophication, chemical contamination, and the spread of diseases. Among these, diseases caused by bacteria, viruses, fungi, and parasites pose significant threats to the sustainability of global aquaculture. Despite the implementation of various diagnostic methods …
Published in International Journal of Marine Life · Vol. 1, Issue 1, 2024 · pp. 25–28 Read article
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Nanotechnology-Enhanced Wearable Biosensors for Liver Disease Detection: Integration with AI for Predictive Analytics
Abstract: The worldwide health burden of liver diseases is substantial, and effective treatment and management depend heavily on early detection. This study investigates the integration of nanotechnology-enhanced wearable biosensors with artificial intelligence (AI) techniques for predictive analytics in liver disease detection. The construction of extremely selective and sensitive biosensors that can identify a variety of biomarkers linked to liver illnesses has been made possible via nanotechnology. These nanotechnology-based biosensors can be …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 1, 2024 · pp. 22–36 Read article
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Revolutionizing Healthcare Environments: Exploring Innovative Furniture Design for Hospitals
Abstract: The healthcare landscape is continuously evolving, demanding innovative solutions to address the diverse needs of patients, caregivers, and medical staff. The design of hospital furniture plays a pivotal role in patient comfort, recovery, and overall experience. This dissertation explores the realm of new furniture design for hospitals, exploring a myriad of concepts and considerations aimed at revolutionizing healthcare environments. Furthermore, the research investigates the need for high-quality, ergonomic, and aesthetically …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 36–48 Read article
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Advanced Helmet Recognition System with Integrated Number Plate Detection for Enhanced Traffic Monitoring Using Deep Learning
Abstract: This study focuses on the crucial problem of non-adherence to traffic regulations, particularly with the compulsory use of helmets by motorcyclists. Motorcycle accidents have a greater mortality rate compared to other types of accidents, indicating a need for a more effective enforcement strategy. Current procedures depend on traditional techniques where traffic officers manually observe traffic rule infractions through patrols and monitoring CCTVs, requiring substantial labor and time resources. The inherent …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 9–18 Read article
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Digital Health Interventions in Cardiovascular Pharmacology: A Review
Abstract: Cardiovascular diseases (CVDs) represent a formidable global health challenge, demanding innovative strategies for timely detection, effective management, and continuous monitoring. This study delves into the transformative potential of digital health interventions (DHIs), such as telemedicine and remote monitoring, in reshaping cardiovascular care paradigms. DHIs offer unparalleled accessibility, convenience, and personalized attention, thereby promising to revolutionize traditional approaches to cardiovascular health management. One of the foremost advantages of DHIs lies in …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 1–5 Read article
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Innovations in Forensic Imaging: Leveraging Deep Learning for Authenticity Verification
Abstract: The advent of digital media has necessitated advancements in forensic imaging, especially for the detection and verification of image authenticity. In this context, digital image forensics plays a critical role in identifying manipulated or counterfeit images. This paper presents a new method that uses deep learning techniques to enhance image forgery detection. The approach utilizes a convolutional neural network (CNN) to automatically learn and recognize the intricate features present in …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 28–33 Read article
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Association of Vitamin D Binding Protein BP rs2282679 Gene Polymorphism and Serum Levels of Vitamin D in Patients with Vitiligo
Abstract: For vitamin D to have an impact, the vitamin D receptor (VDR) must be expressed and activated in the nucleus. The VDR has several known genetic variants. Biological impacts can be caused by changes in DNA sequences known as "polymorphisms" that are common in the population. Vitiligo is a disease that causes loss of skin color in patches, and it is a chronic (long-lasting) autoimmune disorder loss of color. The …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 2, 2024 · pp. 45–52 Read article
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Initiation of Distress in Asphalt Concrete After Practicing Moisture Damage
Abstract: The moisture damage of asphalt concrete is considered as major type of distress in heavy rainfall environment. In this work, the decline in the initial flexural stiffness of asphalt concrete was monitored after practicing the moisture damage process. The variations were analyzed relative to the control mixture. Asphalt concrete mixtures were created in the laboratory with the optimal binder content. Extra mixtures were also prepared with ±0.5% variation of binder …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 7–13 Read article
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Understanding Trichotillomania: Exploring and Managing Hair-Pulling Disorder
Abstract: One form of traumatic alopecia is called trichotillomania, which is characterized by an overwhelming impulse to take out hair and a feeling of comfort once the hair has been removed. Alopecia in trichotillomania results from the patient’s deliberate act of pulling out their own hair, often triggered by feelings of stress, tension, or psychological distress. This condition, classified as a mental health disorder, leads to noticeable hair loss that can …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 3, 2024 Read article
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Sustainable Rural Development through Geospatial Technology – A Case of Keonjhar District of Odisha
Abstract: The 2030 Agenda for Sustainable Development emphasizes that sustainability encompasses three dimensions: economic, social, and environmental. Monitoring society's impact on natural resources involves identifying activities that affect ecosystem processes. Geospatial technology plays a key role in detecting community-level development projects and evaluating sustainable development outcomes at the district level. The main objective of the study is to show the impact of implementation of SDGs on the development of community livelihood …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 3, 2024 · pp. 30–46 Read article
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Investigating the Impact of Viral Infections on Pharmacokinetics and Pharmacodynamics of Antiviral Drugs
Abstract: The emergence and re-emergence of viral infections pose significant challenges to public health, necessitating a comprehensive understanding of how these infections impact the pharmacokinetics and pharmacodynamics of antiviral drugs. This review explores the intricate interactions between viral pathophysiology and the pharmacological effects of antiviral agents. Factors such as viral replication dynamics, host immune responses, and the genetic variability of both viruses and hosts significantly influence drug absorption, distribution, metabolism, and …
Published in International Journal of Virus Studies · Vol. 1, Issue 2, 2024 · pp. 23–30 Read article
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Optimizing Fin Parameters to Enhance Passive Heat Dissipation in Photovoltaic Panels
Abstract: This study explores passive cooling techniques to enhance the thermal management of photovoltaic (PV) modules, which is crucial for maintaining efficiency. A computational fluid dynamics (CFD) model, using ANSYS Fluent, was developed to evaluate three fin shapes: rectangular, trapezoidal, and triangular, attached to the back of PV modules. The study varied parameters such as fin count, thickness, and length to determine optimal configurations for cooling. Among the designs, triangular fins …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 2, 2024 · pp. 25–35 Read article
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Advanced Anomaly Detection in Cloud Infrastructures Using Deep Learning Algorithms
Abstract: It is critical to guarantee the stability and security of cloud environments as cloud computing is becoming the backbone of contemporary IT infrastructures. Neglecting to quickly identify and resolve anomalies, which might point to security breaches, performance problems, or system breakdowns, can lead to disastrous outcomes. The increasing size and complexity of cloud infrastructures are challenging the effectiveness of traditional anomaly detection methods. These approaches often depend on rule-based systems …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 1–11 Read article
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Sustainable Cotton Crop Productivity through Precision Weed Detection: A Deep Learning-Based Approach with UAV Integration
Abstract: Weeds present a major challenge to crop productivity by competing with crops for vital resources, including water, sunlight, and nutrients, often resulting in significant yield reductions. On a global scale, weeds are responsible for approximately 13.2% of annual crop losses, a quantity sufficient to feed nearly one billion people. These invasive plants disrupt agricultural systems and adversely impact crop yields. Given their uneven distribution in fields, ground or aerial robots …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 19–26 Read article
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Practical and Universal Design for Indian Interior Design
Abstract: Accessibility and universal design in Indian interiors are essential for creating inclusive spaces that cater to all individuals, regardless of ability. These principles ensure that environments are usable by everyone, including people with disabilities, and enhance overall comfort and functionality. In the Indian context, integrating accessibility and universal design into interiors is particularly important due to the country’s diverse population and the growing emphasis on inclusivity. This approach involves implementing …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 1, 2025 · pp. 42–53 Read article
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Sustainable Feeding Practices for Dairy Development in the tropics: Exploring Cost Reduction through Resource Optimization
Abstract: Sustainable feeding practices are crucial for enhancing the economic viability and environmental responsibility of dairy farming. This review explores innovative strategies for cost reduction through resource optimization, aiming to minimize feed expenses while maintaining animal health and productivity. A comprehensive examination of over 100 cost-saving measures reveals diverse approaches, including nutritional planning, pasture management, and the incorporation of alternative feed sources. The integration of precision feeding techniques, waste utilization, and …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 2, 2025 · pp. 11–19 Read article