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1680 articles for “BCS Class II/IV drugs”
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Security Challenges and Solutions in Wireless Sensor Networks: a Case study of Afghanistan
Abstract: Due to their capability to collect and relay data from locations without supervision, Wireless Sensor Networks (WSNs) have become essential for numerous contemporary applications (such as environmental monitoring, smart cities, and healthcare). However, the open and resource-constrained nature of WSNs makes them particularly vulnerable to security threats. This paper reviews the key security Issue faced by WSNs and the solutions proposed in recent literature. We examine the unique constraints of …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 Read article
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Development and Evaluation of Medicated Mouth Wash
Abstract: The present invention is to formulate and evaluate a novel medicated mouth rinse using Achyranthes aspera extract in an oil-based formulation. The herb Achyranthes aspera, which has long been used for medicinal purposes, was chosen because of its purported anti-inflammatory and antibacterial qualities. This study aimed to create a safe, effective, and pleasant-tasting mouth rinse to maintain oral hygiene and address common oral health issues. Achyranthes aspera’s bioactive components were …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 1, 2026 · pp. 21–30 Read article
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Consumer Awareness and Adoption Barriers of E-Pharmacy Services in Delhi/NCR: A Mixed-Methods Investigation
Abstract: Background: The rapid digitization of India's pharmaceutical market has positioned e-pharmacies as a transformative force; yet, consumer adoption remains significantly low despite growing awareness. Objectives: This study investigates consumer awareness levels, purchasing behaviors, trust perceptions, and adoption barriers regarding e-pharmacy services among urban Indian consumers. Methods: A sequential explanatory mixed-methods design was employed. Quantitative data were gathered via a structured questionnaire administered to 65 respondents in Delhi. Qualitative insights were …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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AI-Based Cybersecurity Framework for Protecting Smart Surveillance Infrastructure in Mumbai
Abstract: Smart city infrastructures increasingly rely on interconnected surveillance systems to ensure safety, operational efficiency, and public trust. However, the rapid expansion of IoT-based monitoring technologies has introduced new cyber risks, especially in high-density metropolitan areas. This paper proposes an AI-driven cyber resilience framework targeting smart surveillance infrastructure as a critical smart-living domain, focusing on Mumbai as a case study. Using the CIC-IDS2017 dataset, a machine learning-based intrusion detection model is …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 Read article
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Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models
Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 Read article
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Biopolymer Hydrogels: Patent Insights and Emerging Technological Trends
Abstract: Hydrogel biopolymers have become a valuable resource for next-generation functional materials due to their inherent properties, including compatibility with biological systems, environmental degradability, and minimal toxicity. Intelligent gels that respond to changes in temperature, pH, or ionic strength have various applications across industries like pharmaceuticals, biomedical engineering, and the food sector. This review systematically compiles findings from patent disclosures and non-patent literature to highlight recent trends in biopolymer-based hydrogel research, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 916–924 Read article
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Development of 3D Avatar based ISL Dictionary for Public Places Terminology
Abstract: A synthetic animated Indian Sign Language (ISL) dictionary could be a great tool for deaf people to communicate their thoughts, opinions, and ideas to hearing people in the current computerized era. There is currently no ISL synthetic animated dictionary designed specifically for public places, despite the fact that there are numerous human-based video dictionaries available. In this article, the creation of a 4231-word ISL dictionary for various public places terminology …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 1, 2026 Read article
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Monitoring The Hydrocarbon Utilizing Bacteria in Crude Oil Remediation Using Bio-Stimulant of Mint Leaf (Mentha Piperita)
Abstract: Conceptual monitoring of hydrocarbon utilization bacteria on crude oil remediation using bio-stimulant of mint leaf (Mentha piperita) was investigated. The bio-stimulant nutrient was determined by considering the available nitrogen, phosphorus, potassium, and hydrocarbon utilizing bacteria presence in both room and sun-dried samples of the remediant used. The mint leaf (Mentha piperita) was processed to obtain the powder form (nano particle size) of the bio-stimulant and the microbes isolated and identified …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 34–39 Read article
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Thermoacoustic Properties of 1-Propanol-n-Hexane and 1-Propanol-Cyclohexane Binary Mixtures: A Comparative Study at 298.15 K
Abstract: This study reports the measurement of ultrasonic velocity (U), viscosity (η), and density (ρ) for the binary liquid mixtures 1-propanol–n-hexane and 1-propanol–cyclohexane at 298.15 K over the full composition range (mole fraction 0.1–0.9). From the experimentally measured data, several important thermodynamic and acoustic parameters, including isentropic compressibility (βₐ), acoustic impedance, intermolecular free length, free volume (Vf), and internal pressure (πᵢ), were systematically derived to assess the magnitude and nature of …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 19–30 Read article
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Investigation of Pollution Status in River No. 2, Freetown, Sierra Leone, Using Physicochemical and Bacterial Indicators
Abstract: This study assessed the physicochemical and bacteriological quality of surface water in the River No. 2 watershed, Sierra Leone, through monthly sampling from March–August 2024 at upstream, midstream, and downstream sites. Analyses included temperature, turbidity, pH, electrical conductivity, total dissolved solids, ammonia, fluoride, sulfite, nitrate, lead, arsenic, chromium, and microbial indicators (Escherichia coli, fecal and non-fecal coliforms). Most physicochemical parameters met WHO drinking-water guidelines. pH (7.0–7.3), TDS (7–17 mg/L), turbidity …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 11–27 Read article
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Structural Assessment of Rigid Pavement Systems Under Heavy Loading Conditions
Abstract: This study presents an analysis of pavement and foundation layer design subjected to heavy vertical loads and upward soil pressure. A total load of 1716 tonnes transmitted from the superstructure is considered acting on the pavement system. Due to upward soil pressure, tensile stresses develop in the foundation layers, requiring adequate thickness of sand and aggregate layers to ensure structural stability. Based on the tensile strength of sand (2 N/mm²), …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 36–48 Read article
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Petrographic and Geochemical Characteristics of Deccan Trap Basalts from Belagavi, Karnataka, India
Abstract: The Deccan Trap volcanic province represents one of the largest continental flood basalt provinces in the world and provides significant insights into magma generation and evolution processes. The present study focuses on the petrography and geochemistry of basalts from the Belagavi region, which forms part of the southern extension of the Deccan volcanic province. Petrographic analysis of thin sections reveals that the basalts are mainly composed of plagioclase feldspar and …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 52–61 Read article
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Bridging the Gap: Exploring the Social and Economic Dimensions of Gender Equality
Abstract: Gender equality is a fundamental human right and a critical prerequisite for sustainable social and economic development. Despite notable progress in recent decades, significant disparities persist worldwide, particularly in the social and economic domains. This paper explores the multifaceted nature of gender inequality, examining how structural, cultural, and institutional barriers continue to shape unequal access to resources, opportunities, and decision-making power. By analysing key sectors such as education, healthcare, labour …
Published in Recent Trends in Social Studies · Vol. 3, Issue 1, 2026 · pp. 19–24 Read article
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Stock Market Prediction Using Machine Learning: Techniques, Challenges, and Future Directions
Abstract: The continuous advancement of machine learning (ML) technologies has significantly transformed the field of financial forecasting, particularly in the area of stock market prediction. The ability to accurately forecast stock price movements and market trends plays a crucial role in supporting informed investment strategies and effective risk management. This paper provides a comprehensive review of recent developments in the application of ML techniques for predicting stock market behavior. It classifies …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 10–16 Read article
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Revolutionizing Gender Justice: The Intersection of AI and Third-Gender Rights in Indian Legal Systems
Abstract: Artificiаl intеlligеncе (AI) аnd third-gеndеr rights in Indiа convеrgе аt а рivotаl juncturе for аdvаncing еquitаblе justicе systems. A trаnsformаtivе cараcity emеrgеs whеn аlgorithmic tools аrе strаtеgicаlly alignеd with lеgаl frаmеworks, раrticulаrly in reducing systemic bаrriеrs through еnhаncеd judiciаl аccеssibility. This аnаlysis еvаluаtеs AI’s duаl rolе аs both cаtаlyst аnd chаllеngе within Indiа’s evolving рolicy lаndscаре, focusing on thrее domains: lеgislаtivе dеsign, рredictivе jurisрrudеncе, аnd rights-bаsеd govеrnаncе structurеs. Currеnt rеsеаrch …
Published in Recent Trends in Social Studies · Vol. 3, Issue 1, 2026 · pp. 25–31 Read article
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Quasar: Quantum-Accelerated Sustainable Anomaly Recognition in Climate Systems
Abstract: Accurate detection of climate anomalies is vital for disaster alleviation and policy making in a sustainable manner, but customary detection methods face the challenges of computational inefficiency and physical inconsistency. In this study, we propose a novel approach called Quantum-Optimized Fuzzy Physics-Informed Neural Networks (QFuzzy-PINNs), which integrates quantum computing, fuzzy logic, and physics-informed deep learning. As a first step, we employ quantum annealing for conventional optimization to adjust multiple Gaussian …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 18–27 Read article
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Image-Based Crack Morphology Characterisation for Electrical Failure Analysis in Conductive Polymer Composites
Abstract: Electrical performance in conductive polymer composites is strongly governed by crack-network evolution, yet failure analysis typically relies on qualitative image inspection or electrical anomaly detection in isolation. This work proposes an end-to-end framework that converts optical/SEM crack imagery into a standardised crack morphology signature and quantitatively links it to electrical degradation indicators. A two-stage learning strategy is adopted: crack-representation pretraining using the public Concrete Crack Images for Classification dataset, followed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1375-1386 Read article
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Crop Disease Prediction Using Image Processing
Abstract: For any country in the world, its livelihood depends on agriculture. However, crop diseases affect the production and food supply of any country because we are unable to detect crop diseases. This paper presents a machine learning CNN (convolutional neural network) model, which uses images of crops to detect diseases. This model detects the diseases in the early stage and provides us with a solution to the crop diseases. It …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 9–16 Read article
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Design and Optimization of Domain-Specific Languages for High-Performance Computing Applications
Abstract: The accelerating demand for computational power in scientific, engineering, and data-intensive domains has driven High-Performance Computing (HPC) systems toward unprecedented levels of parallelism and architectural complexity. Contemporary HPC platforms integrate multicore CPUs, many-core GPUs, accelerators, and deep memory hierarchies, creating significant challenges for software development and performance optimization. Traditional general-purpose programming languages and parallel programming frameworks provide low-level control over hardware resources but require extensive manual tuning, resulting in poor …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article
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Parallel Privacy-Preserving Adaptive Federated Learning on GPU-Enabled Multi-Core Architectures
Abstract: The increasing deployment of parallel and distributed intelligent systems has intensified the need for privacy-preserving learning frameworks that can exploit multi-core and GPU-based architectures without centralizing sensitive data. This work proposes a parallel Adaptive Federated Learning (AFL) framework that integrates Differential Privacy and Secure Aggregation over heterogeneous multi-core and GPU platforms to enhance both data confidentiality and convergence efficiency. The framework dynamically adjusts client participation, learning rates, and aggregation weights …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article