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1680 articles for “BCS Class II/IV drugs”
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Chemical Treatment Methods for Types of Chemical and Environmental Pollution: Review
Abstract: Developed countries have witnessed the industrial revolution and technological advancements, as a result, environmental pollution is steadily increasing, negatively impacting living organisms and life sources. The causes are well known, as are the solutions, but major industrialized nations are procrastinating and postponing implementation of solutions because it reduces their profits. To address chemical pollution: reducing the use of nuclear energy, disposing of chemical waste in proper ways, and focusing on …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 2, 2025 · pp. 53–60 Read article
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Identification of Groundwater Potential Zone of Chhatrapati Sambhajinagar Tehsil Using Remote Sensing and GIS Technique
Abstract: Groundwater is one of the most vital and renewable natural resources, playing a key role in sustaining domestic, agricultural, and industrial activities, particularly in semi-arid regions like Chhatrapati Sambhajinagar tehsil in Maharashtra. The growing population, rising water demand, and irregular rainfall patterns have resulted in a pressing need to locate potential groundwater zones for sustainable water management. This research employs Remote Sensing (RS) and Geographic Information System (GIS) techniques to …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 2, 2025 · pp. 61–73 Read article
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Predictive Modeling of Polymer Composites for Medical Implants Using Artificial Intelligence Techniques
Abstract: The use of polymers in biomaterials was now key to designing the next generation of medical implants, which need to be strong and also compatible with living tissue. Tests for biocompatibility, such as those done in the laboratory and by doing experiments on animals, require much time and many resources, so the need for computer-based approaches becomes clear. An artificial intelligence approach was provided in this study to determine how …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 665–692 Read article
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Pharmacokinetic Profiling and Molecular Docking of Carvacrol and Structural Analogs: Targeting Quorum Sensing Proteins to Disrupt Biofilm-Mediated Antimicrobial Resistance in Multidrug-Resistant Bacterial Pathogen
Abstract: Antibiotic resistance, particularly in Pseudomonas aeruginosa, has become a major global health threat, exacerbated by the organism's ability to form biofilms and regulate virulence through quorum sensing (QS). The LuxR and LasR receptors are key regulators in this process, influencing both pathogenicity and antibiotic resistance. This study investigates potential QS inhibitors targeting these receptors as a strategy to mitigate antibiotic resistance. The primary objective was to identify novel ligands that …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 2, 2025 · pp. 43–61 Read article
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Preparation and Evaluation of Herbal Gel Containing Multiple Plant Extracts for Acne Treatment
Abstract: A persistent inflammatory condition affecting the pilosebaceous unit, acne is caused by an increase in sebum production by sebaceous glands and an incorrect desquamation of hair follicles in response to rising testosterone levels throughout teenage years. Follicular obstruction results in follicular distention, which frequently triggers an inflammatory reaction and the growth of the Propionibacterium acnes bacteria. This project mainly focused on the formulation of a herbal gels for acne. These …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 2, 2025 · pp. 18–30 Read article
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Role of Fatigue and Creep in Structural Damage: A Comprehensive Review
Abstract: Fatigue and creep are two critical degradation mechanisms that significantly influence the structural integrity and longevity of engineering materials. These phenomena arise due to different loading and environmental conditions but often coexist in various industrial applications, leading to severe material degradation over time. Fatigue primarily results from cyclic loading, where repeated stress variations induce microstructural damage and crack initiation, ultimately causing catastrophic failure. Conversely, creep occurs under sustained stress at …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 22–26 Read article
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A Review of Machine and Deep Learning Techniques for Cyber Security
Abstract: Nowadays in the digital landscape, cyber threats and attacks are increasing in an exponential manner, posing server risks to organizations and critical infrastructures. Data breaches often result from sophisticated threat models that exploit vulnerabilities in networks, systems and user behaviors. Cyber solutions are increasingly incorporating machine learning and deep learning to prevent and mitigate these security issues. These technologies have the potential to detect anomalies, classify threats and predict potential …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 01–07 Read article
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Critical Review of Study of Conventional and Pre Engineered Building
Abstract: Human race has steadily evolved over past centuries. Development of new technology, vigorous research, consistent efforts, indomitable will to find solutions for the problems, are the key factors to shape our future in way that everyone gets safe, secure and satisfactory life. Construction industries provides basic but most valuable service or product or we can say that construction industries fulfill the basic needs of individual and group of people by …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 48–53 Read article
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Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 Read article
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Energy-Efficient Thermal Management: Advanced Cooling Techniques for Electronics, Automotive, and Aerospace Applications
Abstract: The growing demand for energy-efficient systems across diverse industrial sectors, including electronics, automotive, aerospace, and renewable energy, has elevated the importance of advanced thermal management techniques. Effective heat dissipation is critical not only for maintaining optimal operating conditions in electronic devices but also for enhancing the performance and reliability of broader energy and mechanical systems. Inadequate thermal management can compromise energy efficiency, reduce component lifespan, and increase environmental impact. This …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 18–23 Read article
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An Analysis of Stoic Characters from the Lies I Tell by Julie Clark
Abstract: The research delves into the analysis of stoic characters from The Lies I Tell in various perspectives. The argument rests on those character's specific characteristics of being a stoic person and following the philosophies of the stoic human. Using a literary-philosophical approach, the analysis explores how both protagonists demonstrate the stoic ideal in distinct ways. Meg Williams, in her calculated acts of retribution, exhibits controlled reasoning and a deep, though …
Published in Emerging Trends in Languages · Vol. 3, Issue 1, 2026 · pp. 8–12 Read article
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Effectiveness of the Culturally Responsive Instruction (CRI) Package on Teachers’ Comprehension of Culturally Responsive Behaviours
Abstract: India is a country of great cultural heritage, as seen in its art, literature, traditions, languages, and historical sites. Its diversity and vitality make it a unique place on the world map, drawing individuals from across the globe through tourism, festivals, yoga, and classical literature. Every state in India has its own distinct cultural and linguistic identity. Consider Bihar, for instance—it has been a key player in the educational history …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 26–33 Read article
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Advancements in Machine Learning: A Comprehensive Review of Algorithms, Applications, and Future Directions
Abstract: Gaining knowledge of Machine learning (ML)-guided format algorithms leverage predictive models to generate novel devices with optimized properties across several domains, which include drug discovery, fabric synthesis, and biomolecular engineering. Selecting an effective format set of policies consists of identifying appropriate hyperparameters, predictive models, and generative mechanisms to maximize format fulfilment. This study introduces an established method for set of policies requirements, ensuring that generated designs meet predefined fulfilment criteria, …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 17–33 Read article
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High-Performance Biodegradable Films from Bamboo Derived Cellulose Nanofibers and Silk Fibroin: Engineering Sustainable Polymer Composites
Abstract: This research presents the advancement of biodegradable composite films from cellulose nanofibers (CNFs) extracted from bamboo and silk fibroin (SF) derived from Bombyx mori cocoons. CNF/SF composites were fabricated in three different compositions—CS10, CS30, and CS50—via aqueous blending and solution casting, followed by ethanol-induced β-sheet stabilization. Mechanical testing confirmed a considerable enhancement in tensile strength from 72 MPa (CS10) to 112 MPa (CS50), while Young’s modulus improved from 2.4 GPa …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 256–265 Read article
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Electroconvulsive Therapy in the Management of Schizophrenia: A Systematic Review in Emergency Nursing Practice
Abstract: Electroconvulsive therapy (ECT) is a well-established treatment for various psychiatric disorders, including schizophrenia, particularly in cases where patients are resistant to conventional treatments. Schizophrenia, a chronic and severe psychiatric disorder, often presents with a combination of positive symptoms (such as hallucinations and delusions), negative symptoms (such as social withdrawal and emotional blunting), and cognitive impairments. While antipsychotic medications are the primary treatment, approximately 20–30% of individuals with schizophrenia do not …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 43–48 Read article
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Entangled Shields: Securing Digital Systems in the Quantum Cryptographic Revolution
Abstract: Quantum computing utilizing principles of superposition and entanglement is poised to revolutionize the computational landscape, presenting unprecedented challenges and opportunities across various disciplines. Among these, cryptography stands at the forefront due to its reliance on computational hardness assumptions, which Quantum algorithms, such as Grover’s and Shor’s, can efficiently exploit. This study explores theoretical foundations and practical applications of quantum-safe cryptographic primitives, such as lattice-based cryptography, hash-based signature schemes, code-based systems, …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 33–43 Read article
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Advances in Polymer-Modified Concrete using XAI
Abstract: Industry 4.0 technologies are being quickly adopted by the construction sector, opening new avenues for enduring operational and environmental issues. This sector looks at how explainable AI can forecast air and enhance the quality of building materials. XAI, AI, ML, and big data drive a new paradigm in polymeric material development. The effective XAI and ML-assisted design creates innovative, high-performance polymeric materials. It covers building a database and representing structures, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 133–144 Read article
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Turbulence Exploitation in Offshore Wind Farms: Improvement in Generated Power
Abstract: The limited space available for wind energy projects highlights the importance of improving the efficiency of wind farms, like the exploitation of turbulent wakes. In this work, we analyze the available energy associated with the turbulent wakes generated by offshore wind turbines at various downstream distances using a computational fluid dynamics (CFD) program (Autodesk). Classical wind conditions for offshore wind farms are established for the probability distribution of wind speed, …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 2, 2025 · pp. 22–35 Read article
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Nitro IDE: Exploring Integrated Development Environments: Current Trends and Innovations
Abstract: Integrated Development Environments (IDEs) have become essential in modern software development, offering a centralized platform that brings together source code management, debugging tools, version control, and compilation features. This study offers an in-depth analysis of various IDE platforms, with a particular focus on Eclipse as a widely used open-source integration environment. It also explores specialized IDEs tailored for embedded systems and enterprise-level Java (J2EE) application development. Additionally, the study examines …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 35–40 Read article
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Enhancing Customer Engagement with AI-Driven Movie Recommenders: Integrating Neural Collaborative Filtering, Sentiment Analysis, and Conversational Agents
Abstract: In today’s competitive digital landscape, user engagement is a critical factor for the success of entertainment platforms, especially those offering movie recommendations. This study introduces a comprehensive AI-driven framework designed to enhance customer interaction, satisfaction, and loyalty through the intelligent integration of multiple deep learning models. The system combines three core components: Neural Collaborative Filtering (NCF) for generating personalized movie recommendations based on user behavior and preferences, Long Short-Term Memory …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 45–54 Read article