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1429 articles for “FACTS”
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Diabetes Prediction Using ML Techniques
Abstract: Diabetes mellitus, commonly referred to as diabetes, denotes a cluster of prevalent endocrine disorders characterized by persistent elevated levels of blood sugar. Diabetes is classified into two main types: type 1 and type 2. Type 1 diabetes arises when the body is unable to produce insulin, while type 2 diabetes involves either insulin resistance or insufficient insulin production. Early detection and intervention are essential to reduce its harmful impacts. The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Impact of Total Quality Maintenance Parts on The Operation of Electric Motor in Thermal Desorption Unit
Abstract: Thermal desorption Unit been a vital equipment with complex applications in the sections of waste and minerals treatments, suffers intensively in the managerial section as a whole. This paves a way towards the aim of this research work which covers the type of the impact of Total Quality maintenance electric motor parts on the Operation of the Thermal Desorption Unit [TDUs] using that of the Halden Nigeria Limited, located within …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 14–25 Read article
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Blockchain Adoption in Indian Public Services: A Holistic Empirical Investigation
Abstract: The Indian public sector is pivotal in the country’s governance and public welfare. It is worth noting that there is a significant number of intermediaries involved in the execution of tasks that are compromising data transparency. Currently, the public sector banks lack standardization and validation as major obstacles in the deployment of blockchain technology. The research paper explores the scope and effectiveness of blockchain technology in India’s public sector through …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 48–57 Read article
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Integration of Biosensors in Robotic Systems for Enhanced Environmental Monitoring
Abstract: Biosensors are analytical devices that use biological components, such as enzymes, antibodies, or nucleic acids, to detect specific chemical or biological substances. They have shown great potential in various fields, particularly in environmental monitoring, due to their sensitivity, specificity, and ability to provide real-time data. Integrating biosensors with robotic systems combines the strengths of both technologies, allowing for efficient data collection in remote, hard-to-reach, or hazardous environments. This integration enables …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 38–49 Read article
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In Silico Molecular Docking Studies of Phytocompounds from Melissa officinalis Against MPXV Poxin Target
Abstract: Objectives: This study aimed to evaluate the inhibitory potential of phytocompounds of Melissa officinalis against the MPXV poxin protein target, a key virulence factor in monkeypox infection. Methods: Molecular docking performed using PyRx, a virtual screening software, was conducted to predict the binding affinities of the compounds to MPXV poxin. Prior to docking, the compounds were subjected to comprehensive analysis, including Lipinski's rule of five, evaluation of physicochemical properties, pharmacological …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 25–38 Read article
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Qualitative Detection of Active Compounds of Some Extracts: The Medicinal Plant
Abstract: This study aimed to prepare aqueous extracts of the seeds of the following plants (Apium, Coriandrum, Trigonella, Punica, Linum,, Cinnamon, and Ocimum) to detect the active compounds in them represented by (saponins, tannins, phenols, alkaloids, and glycosides). The study concluded that the presence of alkaloids in the extracts of Apium, Trigonella, Punica, and Ocimum, and their absence in the remaining extracts. Phenols were observed in the extracts of Trigonella, cinnamon, …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 3, 2024 · pp. 48–53 Read article
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Role of Genetics in Improving Fitness and Sports Performance
Abstract: Research indicates that variations in specific genes affects sports performance, comparing athletes with nonathletes. The genes that have been examined the most in relation to athletic performance are ACE and ACTN3. Strength and endurance have been associated with these genes, which also affect the type of fiber that makes up muscles. Sports performance factors primarily affected by genes are intrinsic motivation to exercise, power and endurance potential, training response to …
Published in Recent Trends in Sports · Vol. 1, Issue 2, 2024 · pp. 28–34 Read article
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Smart Farming Using Mesh Network
Abstract: The increasing demand for food production due to the growth of the world population has led to various challenges in agriculture. Factors such as the reduction of the rural workforce and the rise in production costs have made it necessary to find innovative solutions to enhance productivity and efficiency. Smart farming, which integrates agricultural practices with the Internet of Things (IoT), has become a promising method to tackle these challenges. …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 2, 2024 · pp. 10–19 Read article
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An Innovative Fuzzy-Enhanced Black Widow Spider Optimization for Energy-Efficient Cluster Communication Through the Selection of the Ideal Cluster Head
Abstract: This paper presents a novel approach to enhance energy efficiency in cluster-based wireless sensor networks (WSNs) by integrating fuzzy logic with the black widow spider optimization (BWSO) algorithm. The focus of the suggested fuzzy-enhanced BWSO approach is on cluster head selection, which is essential for lowering energy consumption and enhancing network performance. The program uses fuzzy logic to assess a number of factors, including network density, node proximity, and energy …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 2, 2024 · pp. 28–34 Read article
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Stingless Honeybee’s Rare Sugar and PCSK 9 - LDLR Interaction, A New Hope for Hormone Dependent Breast Cancer Patients – An In-silico Study
Abstract: Hypercholesterolemia is a lipid disorder characterized by elevated levels of low-density lipoprotein (LDL), commonly known as "bad" cholesterol. This condition is a significant risk factor in the development and progression of hormone-dependent breast cancer, as well as in the emergence of resistance to hormonal therapy. One of the key regulators of cholesterol metabolism is the proprotein convertase subtilisin/kexin type-9 (PCSK9) protein, which facilitates the degradation of the LDL receptor (LDLR) …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Unravelling the Environment, Aroma, and Molecular Effects on Mood Fluctuations: A Review
Abstract: The ebb and flow of human emotions encompass a complex interplay of molecular processes governing mood fluctuations. This comprehensive review navigates the intricate realm of neurotransmitters, neuroplasticity, hormonal influences, genetics, and inflammation to unravel the molecular tapestry that shapes our emotional states. Foundational to mood regulation are neurotransmitters – serotonin, dopamine, and norepinephrine – orchestrating delicate balances within neural circuits. Recent molecular neuroscience elucidates their receptor pathways and signaling cascades, …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 14–20 Read article
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Enhancing Safety Protocols in Industrial Operations
Abstract: Industrial safety is a crucial aspect of maintaining both operational efficiency and protecting the workforce in hazardous environments. Despite significant advancements in safety technologies and regulatory frameworks, industrial accidents remain a persistent problem, often leading to severe injuries, fatalities, and financial losses. Such incidents typically arise from a combination of factors, including human error, equipment malfunctions, and insufficient safety protocols. In response to these challenges, this paper examines key strategies …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
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Evaluation of Emergency Response Plans in Industrial Environments Using Simulation Techniques
Abstract: Industrial facilities, particularly those in the chemical, manufacturing, and energy sectors, face significant hazards due to their complex operations and the handling of hazardous materials. Ensuring the safety of workers and minimizing the impact of incidents require robust and effective emergency response plans (ERPs). Traditional evaluation methods, such as drills and tabletop exercises, often fall short in replicating the complexities of real-world emergencies. These methods may lack the realism needed …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 6–10 Read article
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The Importance of Safety Engineering in the Design and Assessment of Foundations
Abstract: In safety engineering, ensuring the stability of structures under lateral loads is a critical aspect of foundation design. Lateral forces, such as wind, seismic activity, or other environmental pressures, exert overturning moments on columns, which must be carefully managed to prevent structural failure. To maintain stability, the overturning moment at the foundation base, generated by these lateral loads, must always be less than the restoring moment produced by the soil's …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 24–29 Read article
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Bacteriophages- A New Frontier in Medicine
Abstract: Bacteriophages, or phages, are viruses that specifically target and infect bacteria, offering an innovative alternative to traditional antibiotic treatments, especially in the face of rising antibiotic resistance. The resurgence of phage therapy has been driven by the increasing prevalence of multidrug-resistant bacterial strains and the slowdown in the development of new antibiotics. Phages, unlike antibiotics, target specific bacterial strains, reducing the impact on the natural microbiota and potentially offering a …
Published in International Journal of Virus Studies · Vol. 1, Issue 2, 2024 · pp. 31–35 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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Evaluating the Impact of the Valsalva Maneuver on Pain Relief During Intravenous Cannulation in Patients at Selected Hospitals in Tirupati, Andhra Pradesh
Abstract: Pain can be defined as an unpleasant tactile sensation, arousing sensory experience, and an emotional response that is linked to any type of tissue, cell, or skin damage. Pain is a very common and a primary reason for which people seek health care. Among all the non-pharmacological methods for pain relieving, the Valsalva maneuver is one of the methods which is found effective in reducing the level of pain a …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article
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Deep Learning-Based Pneumonia Diagnosis: A Comparative Review of Models and Metrics
Abstract: Pneumonia is a common viral infection that affects a large percentage of people worldwide. It is more common in developing and impoverished areas because of factors like poor sanitation, crowded living quarters, pollution in the environment, and restricted access to medical facilities. In order to improve survival chances and gain access to therapeutic therapies, pneumonia must be diagnosed as soon as possible. A type of artificial intelligence called deep learning …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article
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Comparison of Percentage Removal of Petroleum Hydrocarbon on the Effect of Biostimulant in Polluted Soil Environment Using Chromolaena odorata
Abstract: The investigation on the comparison of percentage reduction on polluted soil environment using chromolaena odorata as a bio-stimulant upon the effect of contact time revealed increase in percentage removal of total petroleum hydrocarbon (TPH). The rate of total petroleum hydrocarbon (TPH) removal was discovered to have been influenced y the mas of bio-stimulant dosage immersed or introduced into each of the bioreactor. However, as the mass of the bio-stimulant dosage …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 2, 2024 · pp. 27–32 Read article
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Debris Flows in Mining Areas: Risk Assessment and Mitigation Strategies for Mine Waste Management
Abstract: This study investigates the dynamics and risks associated with debris flows, focusing on the differentiation between natural and mine-generated debris, particularly in storm-affected areas. Mine debris flows, frequently exacerbated by heavy rainfall and human activities, are a major concern due to their destructive potential and environmental impact. The research highlights key factors contributing to debris flow hazards, such as sediment composition, flow velocity, and terrain susceptibility. Additionally, the study explores …
Published in International Journal of Minerals · Vol. 1, Issue 2, 2024 · pp. 1–7 Read article