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195 articles for “tool path”
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INVESTIGATING PHYTOCHEMICAL INHIBITORS OF PSEUDOMONAS AERUGINOSA'S AHL SYNTHASE LASI: A PATH TOWARD NOVEL THERAPEUTIC AGENTS
Abstract: Objectives: This study intended to explore the potential of phytochemicals from Allium sativum to inhibit AHL synthase LasI, a critical protein of the Quorum Sensing (QS) pathway in Pseudomonas aeruginosa, with the ultimate objective of developing therapeutic agents for managing P. aeruginosa infections. Methods: The physicochemical properties, toxicity, aggregation ability and binding potential of phytochemicals from Allium sativum to the protein AHL synthase LasI were determined. Physicochemical properties, toxicity and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 3, 2023 · pp. 40–54 Read article
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Evaluating AI-Driven Adaptive Learning Models in Mathematics: A Contemporary Perspective
Abstract: Artificial Intelligence (AI) continues to transform mathematics education through data-driven personalization and adaptive learning technologies. This study investigates how AI-enabled adaptive platforms influence student performance and engagement in mathematics classrooms. Using a quantitative approach across two institutions, pre- and post-assessment results were compared between students using AI-assisted adaptive learning tools and those receiving conventional instruction. The findings reveal that AI-driven learners demonstrated significantly higher gains in conceptual understanding and engagement …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 8–12 Read article
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A Novel Design for Power Reduction in Arithmetic Circuits using MTCMOS Technology
Abstract: In CMOS logic circuits, the reduction in the threshold voltage due to voltage scaling leads to increase in the subthreshold leakage current and hence static power dissipation. Although power consumption is important for modern VLSI design, operation speed and occupied area are still the main requirements of the VLSI design. Multi threshold voltage CMOS (MTCMOS) technology is a good solution which provides a high performance and low-power design without any …
Published in Journal of VLSI Design Tools and Technology · Vol. 4, Issue 1, 2014 · pp. 1–7 Read article
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The Role of Social Media Analytics in Integrated Marketing Communication and Understanding Consumer Behaviour: The Pathway to Optimal Customer Relationship Management
Abstract: This study explores the role of social media analytics in understanding consumer behavior within the context of Integrated Marketing Communication (IMC). Businesses now have access to a lot of data thanks to the spread of social media platforms, which can give them important insights into consumer preferences, attitudes, and behaviors. This study discusses the methodologies and tools used in social media analytics and how they can be leveraged to enhance …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 22–29 Read article
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Revolutionizing oncology - role of artificial intelligence in early cancer detection and diagnostic advances-A comprehensive review
Abstract: Oncology has experienced a remarkable transformation with the adoption of artificial intelligence (AI), which has greatly enhanced cancer detection and diagnosis. As one of the leading causes of death worldwide, cancer highlights the importance of early detection in improving patient outcomes and survival rates. AI’s ability to analyze vast and complex datasets has enabled groundbreaking innovations in imaging, pathology, biomarker discovery, and predictive analytics. This review highlights key AI-driven advancements …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 18–22 Read article
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Integrating Network Pharmacology and Molecular Docking to Investigate Boerhavia diffusa for Pancreatic Cancer Treatment
Abstract: Objective: In this study, network pharmacology was applied to determine the therapeutic effects of the bioactive compounds of Boerhavia diffusa. Network pharmacology can unearth the underlying mechanisms between drugs and the disease targets and aids in the discovery of novel medications for complex conditions such as cancer. Methods: To predict the molecular mechanisms of action of Boerhavia diffusa in the treatment of was screened using the GeneCards database. The Venn …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 29–49 Read article
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Collaborative Care for Diabetic Retinopathy: Integrating Artificial Intelligence and Clinical Pharmacy Services - A Comprehensive Review
Abstract: Background: Diabetic retinopathy (DR) remains the leading cause of blindness among working-age adults globally, affecting approximately 103 million people worldwide. The integration of artificial intelligence (AI) technologies with clinical pharmacy services presents unprecedented opportunities to enhance screening, diagnosis, and management of DR through collaborative care models. Objective: This comprehensive review examines the current landscape of collaborative care approaches for diabetic retinopathy management, focusing on the integration of AI-powered diagnostic tools …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 118–128 Read article
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Design and Implementation of an Efficient Ternary Control Unit
Abstract: Multi-valued logic (MVL) is emerging as a thrust area of research due to several advantages offered by them over the conventional binary logic. Ternary logic is a promising alternative to the binary logic design technique thereby attracting a wide community of researchers to contribute in the design of ternary processor. The control unit is effectively the nerve center of a processor that plays a vital role in generating the appropriate …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 3, 2015 · pp. 55–70 Read article
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Nutrient-Mediated Activation of Cellular Signaling Pathways: Mechanistic Insights into Attenuation of Toxin Induced Inflammation in Food Animals
Abstract: Dietary and environmental toxins remain a persistent challenge in food animal production, where subclinical and clinical inflammation compromises health, productivity, and food safety. Toxin induced inflammation is driven by oxidative stress, mitochondrial dysfunction, and dysregulated immune signaling, resulting in impaired metabolic efficiency and increased disease susceptibility. Recent advances in nutritional science have revealed that nutrients act not only as substrates for growth but also as signaling molecules capable of modulating …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 1, 2026 · pp. 1–12 Read article
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Explainable Machine Learning Integrated with Polymer-Based Diagnostic Technologies for Liver Health Classification
Abstract: Early and reliable assessment of liver health is essential for timely treatment, yet most machine-learning approaches face limitations such as class imbalance and low clinical interpretability. This study proposes a polymer-integrated, explainable machine-learning framework that combines SMOTE-based data balancing, Logistic Regression, and XAI techniques (SHAP and LIME) for transparent liver-health classification. In addition to ML modelling, the study emphasizes the emerging role of polymer-based biosensors, microfluidic polymer chips, polymer nanomaterials, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 631–643 Read article
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Advancing Asthma Management: The Synergy of Systems Biology, Artificial Intelligence, and Next-Generation Therapeutics
Abstract: Asthma is an inflammatory disorder of the respiratory tract that is chronic and heterogeneous in nature and has various effects on millions of people. Being a chronic inflammatory disease, asthma remains incurable and the major conventional treatments offer limited success due to the mask nature of its pathophysiology. Systems biology/(AI), and next-generation has greatly enhanced knowledge and the management of asthma. The approaches based on gene, transcript, protein, and metabolite …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 1–12 Read article
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Deformation Behaviour of the Billet and Tooling Design on AA5083 through Equal Channel Angular Pressing With Effect of Back Pressure
Abstract: Equal channel angular pressing is an emerging method applied to subject materials to significant plastic strains while maintaining the original shape of the billet. Researchers have discovered that the level of strain attained through equal channel angular pressing is influenced by factors such as the angle of die, friction conditions, and the implementation of back pressure. These variables significantly impact the microstructure and the irregularity of strain within the billet …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 287–303 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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The Pillar of the Treatment: Nidana Parivarjana w.s.r. Madhumeha (Type 2 Diabetes Mellitus)
Abstract: Hetu (aetiology), Liṇga (sign and symptoms), Auṣhadha (drug and therapy) are the three Sootra (principles) of Ayurveda. Without the knowledge of Hetu (cause of a disease) and Liṇga (sign and symptoms), the implication of Auṣhadha (drug and therapy) is not possible. In the present Era, many new diseases are emerging with varied features; all of these were not mentioned in our compendium but on the basis of Dosha, Dushya, Srotas, …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 9, Issue 2, 2020 · pp. 53–61 Read article
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The Role of DevOps in Financial Network Security
Abstract: This study provides a comprehensive analysis of the significance of Development and Operations (DevOps) in ensuring the security of financial networks. With an ever-increasing need for speed, efficiency, and quality in the Fintech sector, integrating DevOps methodologies into operational workflow has become critical. Adopting DevOps practices not only expedites the software delivery cycle, but also ensures comprehensive security. The study explores the adoption of Secure DevOps strategies, the importance of …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 21–28 Read article
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InSilico Analysis and Homology Modeling of Tetrahydroprotoberberine Oxide involved in the Berberine Biosynthesis
Abstract: Objective: Berberine, a bioactive compound found in various plant species, exhibits diverse pharmacological properties with potential applications in pharmaceutical research. The biosynthesis of berberine involves several enzymatic steps, with (S)-tetrahydroprotoberberine oxidase playing a pivotal role. This study aimed to elucidate the structural and functional characteristics of (S)-tetrahydroprotoberberine oxidase to better understand its role in berberine biosynthesis and its potential biotechnological applications. Methods: Using bioinformatics tools and computational methods, the physicochemical …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 1, 2024 · pp. 7–26 Read article
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Veterinary Mycology: Fungal Infections in Livestock and Companion Animals
Abstract: Fungal infections represent a significant yet often underestimated challenge in veterinary medicine, affecting both livestock and companion animals. Veterinary mycology encompasses a diverse group of pathogens, including yeasts, molds, dimorphic fungi, and dermatophytes, that can cause localized or systemic diseases with substantial health, economic, and zoonotic implications. In livestock species, such as cattle, sheep, goats, poultry, pigs, horses, and camels, fungal infections manifest as dermatophytosis, mycotic mastitis, aspergillosis, keratomycosis, and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 3, 2025 · pp. 44–51 Read article
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Molecular Pharmacokinetics and Structural Docking of Phenolic Acids for Targeting NF-κB Pathway Components in Inflammation and Fibrosis: A Computational Approach Toward Therapeutic Discovery
Abstract: Inflammation and Fibrosis are critical pathological processes associated with various chronic diseases, often mediated by the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signaling pathway. This study investigates the therapeutic potential of phenolic acids as modulators of the NF-κB pathway, aiming to identify novel ligands that can effectively interact with key components of this signaling cascade. A comprehensive computational approach was employed, utilizing molecular docking, pharmacological screening, and post-docking …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 1, 2025 · pp. 14–31 Read article
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Gene Edited Livestock for Enhanced Feed Efficiency and Metabolic Adaptation Through Precision Genomic Interventions
Abstract: Advances in gene editing technologies have transformed the landscape of livestock production by enabling precise manipulation of genetic material associated with productivity, health, and environmental adaptability. Tools such as CRISPR Cas9 and emerging next generation editors allow targeted modifications that improve feed efficiency, growth performance, nutrient utilization, and stress tolerance in farm animals. This review highlights the genetic basis of feed efficiency and metabolic regulation, focusing on key genes and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 2, 2026 · pp. 1–10 Read article
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Molecular Docking Study: Targeting mycobacterium leprae ML2640 Protein Using Active Compounds from Coscinium fenestratum
Abstract: Objectives: Leprosy is an infectious disease in skin, peripheral nerve and mucosa of upper airway. Around 70% of this infection is caused by Mycobacterium leprae, which was discovered during1873. Multi drug therapy is used for the treatment, still multiple drug resistance and reactions has been reported among patients. Hence, this work focused on identifying bioactive compounds from Coscinium fenestratum that can target mycobacterium leprae ML2640 protein by in-silico approach. Method: …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 2, 2023 · pp. 21–33 Read article