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575 articles for “Novel methods”
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Synthesis, Characterization and Biological Evaluation of Some Novel Phenazine Derivatives
Abstract: Novel phenazine analogues (PZ1‑PZ6) were synthesized, characterized by the spectral analysis and screened for anti-arthritis activity by bovin serum and egg albumin protein denaturation method. The synthetic route involves the equimolar mixture of ortho-phenylenediamine and ammonium persulphate which were dissolved in 1 M HCl to give 2,3-diaminophenazine(I). Different substituted aromatic aldehydes were added to the 2,3-diaminophenazine(I) and dissolved in methanol. The reaction mixture was stirred for 1‑2 h and then …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 6, Issue 3, 2019 · pp. 31–37 Read article
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Review on Zebrafish Model: A Novel Research Tool
Abstract: Zebrafish (Danio rerio) are a small‐bodied tropical, freshwater fish species originally from South Asia. The ease of care, year‐round prolific breeding, and transparent, external development have made these fish a popular model vertebrate for many fields of biology. Over the past 40years, the development methods for genetics, CNS system, CVS system and cancer and other researches have shown rapid development. This review provides an orientation to the zebrafish as a …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 6, Issue 3, 2019 · pp. 18–30 Read article
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Advances in Solubility Enhancement Strategies for Poorly Water-soluble Drugs: A Comprehensive Review
Abstract: Solubility enhancement holds significant importance in the field of pharmaceutical research as it aims to augment the solubility and bioavailability of drugs that possess low solubility. Poorly soluble drugs pose a considerable challenge in drug development due to their tendency to display inadequate absorption, bioavailability, and therapeutic efficacy. The advancement of solubility enhancement techniques encompasses a wide range of approaches, including physical and chemical methods, as well as innovative technologies …
Published in International Journal of Vaccines · Vol. 1, Issue 1, 2024 · pp. 01–09 Read article
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Computational Biomodeling: Transforming Drug Design with Advanced Simulations
Abstract: Computational biomodeling has emerged as a transformative approach in the field of drug discovery, significantly enhancing the efficiency and precision of identifying and optimizing potential drug candidates. This article explores the various computational techniques utilized in drug design, including molecular docking, molecular dynamics (MD) simulations, free energy calculations, and virtual screening, and examines how these methods collectively contribute to the drug development process. The integration of these advanced simulations allows …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 24–29 Read article
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An Overview of Examination of Some Basic Raw Materials for Adsorbent on Approach of Pollutant Mitigation and Treatment
Abstract: This research showcases the basic parameters that are required to produce bio-adsorbent suitable for adsorption process and their important role on treatment of contaminated water environment. The overview of the physicochemical parameters of the raw materials used for the production of the adsorbents, the particle size and the mix ratio were identified as a contributing factor to the rate of contaminants mitigation in the system. The effect of water pollution …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 01–16 Read article
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An In-depth Analysis of Cyberattacks and Cybersecurity: New Trends and Advancements
Abstract: At present, a significant portion of global economic, commercial, cultural, social, and governmental activities and interactions, including those involving individuals, NGOs, and state institutions, takes place in cyberspace. In recent times, many businesses and government agencies around the world have been facing the growing challenge of cyberattacks and the risks associated with wireless communication technologies. As modern society becomes increasingly dependent on digital technologies, protecting sensitive information from cyber threats …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 31–38 Read article
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AI-Assisted Optimization of Supersonic Airfoil Shapes Using CFD Coupling
Abstract: This paper presents a novel framework for optimizing supersonic airfoil geometries through integrated artificial intelligence and computational fluid dynamics coupling. Traditional gradient-based optimization methods for high-speed aerodynamic shapes suffer from computational expense and convergence difficulties in non-convex design spaces. The proposed methodology employs a deep neural network surrogate model trained on high-fidelity Reynolds-Averaged Navier-Stokes solutions to approximate aerodynamic performance metrics across the design space. A hybrid particle swarm-genetic algorithm searches …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 8–17 Read article
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Quantum Data Harmonization: Resolving Disparate Information Realms with AI-driven Data Science
Abstract: The proliferation of heterogeneous data structures across fragmented information systems hampers insights derivation necessitating harmonization methodologies reconciling multidimensional datasets for collective analytics. This article reviews quantum techniques leveraging qubit superposition for probabilistic data transformations as a novel data harmonization paradigm tailored for varied schemas commonly confronting interdisciplinary analyses spanning healthcare, finance and environmental domains. Hybrid quantum-classical algorithms and AI-based automation workflows hold promise coordinating dispersed data pools through learned mappings …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 2, 2023 · pp. 34–38 Read article
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Evaluating TRIZ Methodology in the Conceptual Design Phase of Industrial Products
Abstract: The Theory of Inventive Problem Solving (TRIZ) has emerged as a powerful systematic innovation methodology that enhances creativity and problem-solving efficiency in engineering design. This paper evaluates the application of TRIZ during the conceptual design phase of industrial products, where early-stage decisions critically influence functionality, cost, sustainability, and market competitiveness. TRIZ provides designers with structured tools—such as the 40 Inventive Principles, Contradiction Matrix, Su-Field Analysis, and Trends of Technological Evolution—that …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 27–32 Read article
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Data Mining Methods for Large Data
Abstract: High dimensional data classification becomes a challenging task because data are large, complex to handle, heterogeneous and hierarchical. In order to reduce the data set without affecting the classifier accuracy, the feature selection plays a vital role in large datasets and which increases the efficiency of classification to choose the important features for high dimensional classification, when those features are irrelevant or correlated. Therefore feature selection is considered to be …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 30s–35s Read article
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Chompound contaning oxadiazole derivatives and their potential therapeutic uses.
Abstract: Derivatives of oxadiazole or furadi azole rings constitute a significant class of heterocyclic substances. Oxadiazole is a heterocyclic, five-membered ring with two carbons, one oxygen atom, two nitrogen atoms, and two double bonds. They are produced by substituting two nitrogen (-N =) atoms for two methylene groups (= CH) in furan. The furan ring's aromaticity was significantly decreased by substituting these groups, resulting in a conjugated diene character. There were …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 1, 2024 · pp. 68–74 Read article
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Detection of Pneumonia in COVID-19 Patients Using X-ray Images
Abstract: This study explores the use of chest X-ray image analysis and deep learning methods to identify pneumonia in COVID-19 patients. Due to the pandemic, Proper as well as immediate examination of COVID-19 is now essential for patient care and disease control. This study proposes a novel approach that uses convolutional neural networks (CNNs) to automatically predict pneumonia in COVID-19 patients using chest X-ray images. In this study, an X-ray of …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 13–23 Read article
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Early Detection of Alzheimer’s Disease Using Machine Learning Techniques
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative condition impacting a large global population. Detecting AD early is critical for timely intervention and effective management. Conventional diagnostic approaches involve cognitive assessments and neuroimaging, which are often lengthy, costly, and prone to human error. In this paper, we propose a novel approach for early detection of AD using machine learning techniques applied to multimodal data, including neuroimaging, cognitive assessments, and biomarkers. Our …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 32–43 Read article
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Novel Catalytic Strategies for Reducing Residual Stresses and Improving Surface Quality in Machined Ceramic Materials
Abstract: To prepare for material cutting and utilize utility-specific edges, it’s crucial to understand the inherent brittleness of ceramics. This brittleness limits the forming methods available and hinders achieving dimensional accuracy and precision through conventional machining techniques. The fabrication of composite materials is becoming increasingly significant, particularly in technical fields like the automotive industry, where they are used to manufacture engine connecting rods, propeller shafts, brake discs, and more. The machining …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 2, 2024 · pp. 01–07 Read article
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Optimized Design and Control of Oil Exploitation Strategies: An Assisted Approach
Abstract: Because there are so many factors and scenarios to consider, optimizing oil exploitation tactics requires complicated decision-making. Conventional approaches frequently concentrate on particular elements of the design infrastructure, which restricts their capacity to fully handle the process. In order to maximize a set of oil exploitation variables in a hierarchical fashion, this research proposes a novel assisted optimization technique that combines mathematical algorithms with engineering analysis. By grouping variables into …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 29–34 Read article
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Wettability and Physiothermal Analysis of Silver-Reinforced Eggshell-Derived Hydroxyapatite Based Biocomposite
Abstract: Hydroxyapatite (HAp), a biocompatible ceramic material, has garnered significant interest in medical applications due to its natural bone type replica. The current study investigates the physical, wettability, and thermal properties of a novel HAp derived from eggshell waste and reinforced with silver nanoparticles at 0.0, 0.1, 0.2 and 0.5 weight % concentration using chemical precipitation method and termed as HAP0.0Ag, HAP0.1Ag, HAP0.2Ag and HAP0.5Ag respectively. As observed, the Fourier transform …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 300–314 Read article
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Drug Resistance in Targeted Cancer Treatment: Clinical Difficulties, Molecular Mechanisms, and Emerging Strategies
Abstract: Targeted cancer therapy, which selectively inhibits the molecular mechanisms responsible for tumor growth and development, has revolutionized modern oncology. Targeted therapies have lower systemic toxicity and better therapeutic efficacy when compared to traditional chemotherapy. However, the emergence of medication resistance often limits the long-term efficacy of these treatments, ultimately resulting in treatment failure and disease progression. Drug resistance develops through a number of intricate biological processes and can be innate …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 1, 2026 · pp. 130–138 Read article
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Preparation and Characterization of a Novel Lignocellulosic Fiber from Calotropis gigantea Stem Fiber for Thermoplastic Composites
Abstract: In the current article, Calotropis gigantea fiber mat (CGM)/thermoplastic polypropylene (PP) strengthened non-woven unidirectional composites were successfully manufactured by hot compression molding using the film piling method. Micromechanical and physicomechanical properties such as tensile, flexural, compressive, impact properties, thickness, swelling, and water absorption of CGM/PP composites were evaluated for the effects of CGF composition, mercerization of CGF as well as the inclusion of two types of coupling agents (vinyltriethoxysilane and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 12, Issue 1, 2022 · pp. 15–33 Read article
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Adaptive Huffman Algorithm for Data Compression Using Text Clustering and Multiple Character Modification
Abstract: Adaptive Huffman algorithm is a popular data compression technique that creates a variable-length binary code for each symbol in a message. However, the original algorithm may not be efficient in compressing text data, particularly when dealing with long sequences of repeated characters. In this study, we propose a novel approach to enhance the compression ratio of the Adaptive Huffman algorithm by utilizing text clustering and multiple character modification. The proposed …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 30–40 Read article
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Synthesis and Biological Screening of Some New3,5-Disubstituted-2-Isoxazolines
Abstract: Series of novel 3,5-disubstituted-2-isoxazolines have been synthesized via 1,3-dipolarcycloaddition reactions. All the synthesised compounds were confirmed by spectroscopic methods evaluated for their antimicrobial activity and were compared with the standard drugs. The compounds demonstrated potent to weak antimicrobial activity.Keywords: Isoxazolines, antimicrobial activity, chloramine-T
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 2, Issue 2, 2011 · pp. 8–15 Read article