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116 articles for “biological data”
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Thermally Adaptive Bio-Inspired VLSI Interconnect Model for Next-Generation Embedded Systems
Abstract: The increasing complexity of next-generation embedded systems has intensified the challenges associated with power dissipation, thermal instability, signal integrity, and interconnect reliability in Very Large- Scale Integration (VLSI) architectures. This research proposes a thermally adaptive bio-inspired VLSI interconnect model designed to enhance communication efficiency and thermal resilience in advanced embedded platforms. The proposed model integrates bio-inspired adaptive routing principles with dynamic thermal-aware interconnect management to optimize data transmission under varying …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 Read article
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Clinical Medicine Done with Clinical Accuracy
Abstract: The advancement of clinical medicine has progressively underscored the significance of accuracy in diagnosis and therapy. This article examines the concept of "Clinical Medicine Administered with Clinical Precision," emphasising how innovations in diagnostics, data analytics, and personalised treatments are transforming the healthcare environment. Clinicians can provide therapy that is not only successful but also personalised to each patient's requirements by combining evidence-based practices with patient-specific factors including genetic profiles, comorbidities, …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 6–19 Read article
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Health Hazards of Benzene Exposure Among Petrol Pump Attendants in North Indian Cities
Abstract: Benzene exposure is an undisputed occupational risk, notably among petrol pump attendants who come in contact with fuel vapors. Chronic exposure to benzene is linked to several conditions, such as hematological disorders, respiratory issues, and increased cancer prevalence. This research aims to assess the health effects related to benzene exposure amongst petrol attendants in the northern cities of India. A cross sectional study was conducted at each petrol pump in …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 36–43 Read article
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Exploring Phytochemicals from Ricinus Communis for Potential Therapeutic Applications in Rheumatoid Arthritis: An in-Silico Approach
Abstract: Aim: Rheumatoid arthritis (RA) is a long-term autoimmune condition characterized by the immune system mistakenly attacking the joints, leading to swelling, discomfort, and joint deformities. Current management strategies include anti-rheumatic drugs and biologics, which have limitations. This study aims to explore the therapeutic potential of Ricinus communis (castor bean plant) phytochemicals as plant-based therapies for autoimmune conditions, like RA. Methods: Phytochemicals from Ricinus communis were retrieved using the IMPPAT database, …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 32–41 Read article
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A Comprehensive Review of Metabolite
Abstract: Metabolites, tiny chemicals, are essential to physiology, signalling, and biological function. This extensive review classifies metabolites into primary and secondary categories by biological relevance. Alkaloids, flavonoids, and terpenoids contribute to ecological interactions and defence systems, while amino acids, nucleotides, and carbohydrates directly affect development and cellular function. The article examines metabolic pathways, mass spectrometry, NMR, and metabolomics, a growing field. Metabolites play a crucial role in various scientific and practical …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 2, 2025 Read article
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In Silico Assessment of Demethoxycurcumin: Molecular Docking and Computational Insights into its various therapeutic Potential
Abstract: Natural compounds are increasingly explored for their therapeutic potential in medical research. Here, we focused on demethoxycurcumin (DMC), a polyphenolic bioactive compound extracted from Curcuma longa, commonly found in turmeric. DMC, with a chemical formula of C20H18O5 and a molecular weight of 340 g/mol, possesses two aromatic ring systems, each featuring a β-diketone moiety connected by a seven-carbon chain. This unique structure allows DMC to engage in tautomerism, which is …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 1, 2024 · pp. 9–15 Read article
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Evaluation of Selected Common Wheat (Triticum aestivum L.) Genotypes for Diverse Traits at Kokate and Hossana, Southern Ethiopia
Abstract: During the 2018/19 cropping season, a field trial involving 49 bread wheat (Triticum aestivum L.) genotypes was conducted at the Kokate and Hossana research sub-stations in Southern Ethiopia. The aim was to assess various characteristics within these genotypes. A simple lattice design was employed, and data on 11 quantitative traits were gathered and analyzed using SAS statistical software. The analysis of variance (ANOVA) revealed that there were notable differences in …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 1, 2025 · pp. 1–11 Read article
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Exploring the Intersection of AI Network Pharmacology and Ayurveda: Innovations in Traditional Medicine
Abstract: Integrative frameworks that integrate traditional medicine and modern computer research are increasingly important for advancing evidence-based, individualized healthcare. One interesting strategy is the combination of Ayurveda, network pharmacology, and artificial intelligence (AI). AI expands the capability by allowing for the quick analysis of biomedical big data, the identification of therapeutic trends, and the optimization of treatment plans. Ayurveda, with its long-standing emphasis on individualized care, holistic balance, and natural remedies, …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 92–98 Read article
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Automation and new mechanical technologies changing the next industrial age
Abstract: The fast growth of automation and new mechanical technologies is changing the way industries work, making manufacturing and production systems more efficient, accurate, and flexible than ever before. This article looks at how sophisticated mechanical design, robotics, and intelligent automation technologies can work together and how they can improve productivity, lower costs, and make operations more sustainable. To show how mechanical engineers are influencing the next industrial era, we look …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 18–23 Read article
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Exploring Antimalarial Activity of Chalcone Derivatives through QSAR
Abstract: Background: The core structure of chalcones contains a reactive α,β-unsaturated system within the aromatic rings, which plays a key role in mediating various biological effects. These effects include enzyme inhibition, anticancer activity, anti-inflammatory properties, as well as antibacterial, antifungal, antimalarial, antiprotozoal, and anti-filarial actions.Modifying the structure by introducing substituent groups to the aromatic ring can enhance potency, reduce toxicity, and expand their range of pharmacological actions. Methods: A total of …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Photochemically Assisted LC–MS Method Development and Validation for Stability-Indicating Determination of Glasdegib in Rat Plasma
Abstract: A simple, precise, and cost-effective LC–MS method was successfully developed for the determination of Glasdegib in rat plasma. The method optimization was carried out by systematically varying key chromatographic parameters, including flow rate, injection volume, analyte concentration, and mobile phase composition, to achieve optimal sensitivity and resolution. A C18 Hypersil BDS column (150 mm × 4.6 mm, 3.5 µm particle size) was used for chromatographic separation, offering effective peak shape …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 1, 2026 · pp. 11–20 Read article
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AquaSential: Autonomous UAV-Based Water Quality Monitoring System
Abstract: The increasing occurrence of waterborne health risks and the presence of harmful microorganisms in freshwater environments highlight the need for rapid and continuous water quality monitoring. Traditional laboratory-based testing methods often require significant time and manual sampling, limiting their ability to provide immediate information about changing environmental conditions. This work presents AquaSential, a low-cost, portable, and UAV-ready water quality monitoring system designed for real-time assessment of freshwater bodies. The proposed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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An Overview of New Coastal Research Vessel (N-CRV) Dry Dock and Construction
Abstract: A New Coastal Research Vessel (N-CRV) is a specialized ship designed for scientific research in fields like oceanography, geology, biology, and atmospheric studies, equipped with specific facilities and accommodations for sea missions. This paper discusses the coastal research ship dry-dock, construction, and design process, which involves three stages: concept, preliminary, and contract design. N-CRV must utilize scientific cruise, Exclusive Economic Zone (EEZ) survey, deployment, data collection, and seawater sample collection …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 3, 2024 · pp. 1–11 Read article
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Monoclonal Antibodies in Next Generation Animal Nutrition: Mapping Nutrient Immune Interaction Networks in Livestock Systems
Abstract: Sustainable livestock production is increasingly constrained by disease pressure, antimicrobial resistance, and declining feed efficiency under intensifying environmental stressors. Conventional nutritional strategies, while essential, remain insufficient to precisely regulate immune function and metabolic resilience. This review explores the emerging role of Monoclonal antibodies as advanced biologics in next generation animal nutrition, with a focus on mapping nutrient immune interaction networks in livestock systems. It synthesizes current knowledge on how nutrients …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 1, 2026 Read article
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Quantum Mechanics: Revolutionizing Pharmaceutical Sciences
Abstract: Quantum physics and pharmacy have generally been regarded as distinct areas—one investigates the microlevel behavior of non-living matter while the other concentrates on intricate biological systems. Nevertheless, progress in life sciences has increasingly depended on molecular-level insights, whereas quantum physics has advanced beyond basic principles to impact real-world uses. This intersection provides new opportunities for, pharmacy. Quantum entanglement, which allows for instantaneous relationships between particles, can be utilized for secure …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 72–77 Read article
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AI-Based Criminal Identification System A Breakthrough Approach
Abstract: Identifying and locating a perpetrator is a time-consuming and difficult process. The perpetrators are growing more skilled, leaving no biological evidence or fingerprint impressions at the crime scene. Using cutting-edge face recognition technology is a quick and easy solution. Through the use of linear programming, this research presents an innovative approach to classifying all face tracks collectively. In addition to the following, it incorporates: a novel method for extracting more …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 1–14 Read article
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A Study on Security Requirements of IOT
Abstract: In terms of speed, internet technologies have surpassed traditional technologies. Although the Internet's explosive growth has allowed it to reach its full potential, there are several security dangers associated with it. Many consumer-grade IoT devices are not designed with robust authentication protocols, making them easy targets for hackers. To address this, stronger multi-factor authentication (MFA) methods and certificate-based authentication should be implemented to ensure that only legitimate devices gain access …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 1, 2025 · pp. 24–28 Read article
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A Review on Unmasking Merkel Cell Polyomavirus: From Discovery to Cancer Driver
Abstract: Merkel cell polyomavirus (MCPyV) is a small, non-enveloped, circular double-stranded DNA virus belonging to the Polyomaviridae family, first characterized in 2008. Epidemiological data suggest widespread exposure, with seroprevalence rates approaching 80% in adults. While primary infection is typically asymptomatic, rare integration events in Merkel cells can initiate oncogenesis, yielding Merkel cell carcinoma (MCC), a neuroendocrine skin cancer with a five-year survival rate under 60%. This review integrates findings from six …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 6–11 Read article
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Herbal Medicines and Complementary Therapies: Their Role, Types and Applications
Abstract: Medicinal plants are used in herbal medicine to treat and prevent illnesses. This includes the use of standardized and titrated botanical extracts in addition to common and traditional medicines from different cultures. The safety of a treatment may be suggested by its long history and deep cultural roots in traditional medical systems, but this does not always imply that it is effective. This is especially important in herbal medicine, since …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 1, 2025 · pp. 40–53 Read article
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QSAR Modeling Techniques: A Comprehensive Review of Tools and Best Practices
Abstract: Quantitative Structure–Activity Relationship (QSAR) modeling has become an essential tool in drug discovery, toxicity assessment, and environmental chemistry. By correlating chemical structure with biological activity or toxicity, QSAR enables the prediction of compound behavior without extensive experimental testing. This approach not only saves time and resources but also supports ethical practices by reducing reliance on animal studies. The evolution of QSAR from basic linear models to advanced machine learning and …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 56–63 Read article