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1680 articles for “BCS Class II/IV drugs”
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The Role of Augmented and Virtual Reality in Enhancing Education and Training
Abstract: Virtual reality (VR) and augmented reality (AR) are emerging as powerful tools that are transforming the way education is delivered and experienced. Unlike traditional teaching approaches that often rely heavily on textbooks, lectures, and passive learning, these technologies create highly interactive and engaging environments that allow students to actively participate in the learning process. By providing immersive experiences, VR and AR bridge the gap between theoretical knowledge and practical application, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 33–38 Read article
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Optical Image Sensing and Analysis of Iron Ore Pellets: A Machine Learning Approach
Abstract: The present work is aimed to improve quality control in steel production using SEM imaging and machine learning. High-resolution SEM images of iron ore pellets, primarily composed of hematite and magnetite, are analyzed to understand their microstructural features, which significantly impact pellet performance during reduction processes. Traditional microstructure analysis is manual, time- consuming, and prone to inconsistencies. This study proposes an automated approach using K-Means Clustering, Canny Edge Detection, DBSCAN, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 7–18 Read article
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Stacked Generalization-Based Deep Learning Approach for Pneumonia Detection
Abstract: The proposed work focuses on a stacked generalization-based approach for diagnosing pneumonia from chest X-ray images. It utilizes regularization, early stopping, and data augmentation to deal with overfitting. It uses safe level SMOTE to deal with class imbalance and attention-based feature fusion to adaptively weigh features based on their importance. It uses two publicly available datasets (RSNA and Kermany) with ground truth provided by expert radiologists. The proposed work used …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 20–31 Read article
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Homeopathy and Miasms: Exploring Their Vital Importance
Abstract: An individual’s susceptibility to disease is not solely an internal matter but is also profoundly shaped by a variety of external influences. These influences can be broadly categorized into meteoric factors – such as climate, weather changes, seasonal variations, and atmospheric conditions – and telluric factors, which include environmental and terrestrial elements like soil, water, living conditions, and geographical surroundings. When such external influences act upon the human organism, they …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 3, 2025 · pp. 16–21 Read article
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How Microfluidics Are Used in Modern Science: Lab-on-A-Chip
Abstract: Microfluidics has changed modern research by making lab-on-a-chip (LOC) technologies that combine multiple lab functions into small, portable devices. These little platforms make it easier to correctly handle small amounts of fluid, which saves time, money, reagents, and automation. This article talks about microfluidics and how it helps LOC technology go forward in all areas of science. We look at important uses of biomedical diagnostics, drug development, environmental monitoring, and …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 2, 2025 · pp. 35–48 Read article
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Smart Attendance System Using Face Recognition with OpenCV
Abstract: In the past, the conventional method of recording student attendance relied heavily on teachers manually marking entries in a physical register. While simple, this approach is not only time-consuming but also highly vulnerable to errors such as accidental omissions, incorrect entries, or even malpractice in the form of proxy attendance. Moreover, traditional registers lack real-time accessibility, making it difficult to analyze or monitor data instantly. To address these limitations, modern …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 30–39 Read article
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Algebraic Foundations of Generalized Signal Processing: A Unified Approach Across Domains
Abstract: Using the techniques of algebra, notably polynomial algebras and modules, algebraic signal processing (ASP) is a contemporary, abstract framework that generalizes conventional signal processing— including Fourier analysis, filtering, and convolution. The notion is to use algebraic structures to explain signals, systems, and transformations such that ideas may be understood and generalized across many domains, including time, space, graph, or group. A unifying theoretical framework called ASP generalizes classical signal processing …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 33–44 Read article
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A Systematic Review on Peptic Ulcer Disease and its Pharmacological Treatment
Abstract: A chronic gastrointestinal condition known as Peptic Ulcer Disease (PUD) is typified by the formation of ulcers or mucosal erosions in the proximal duodenum and stomach. In the pathophysiology of PUD, the equilibrium between defensive processes like mucus and bicarbonate secretion, mucosal blood flow, and prostaglandin production, and aggressive factors such stomach acid secretion, pepsin activity, and Helicobacter pylori infection, is upset. Although stress and food have historically been blamed, …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 76–84 Read article
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Exploring Recent Advancements in Nanomedicine for Tumor Microenvironmental Tissue Engineering
Abstract: The combination of tissue engineering and nanomedicine is transforming cancer treatment by offering creative ways to get around problems with conventional therapies. Recent developments in nanomedicine are examined in this review, with an emphasis on how they might be used to comprehend and control the tumor microenvironment (TME), a dynamic and complex environment that has a major impact on the course of cancer and the effectiveness of treatment. Targeted interactions …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 122–136 Read article
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Recent Advancements and Comprehensive Review on Hyphenated Techniques
Abstract: Hyphenated techniques represent a powerful class of analytical methods that combine two or more established techniques – typically a separation method with a spectroscopic detection technique – to achieve enhanced analytical performance. First introduced by Hirschfeld in 1980, the term “hyphenation” refers to the online coupling of such methods, enabling more precise, sensitive, and comprehensive analysis of complex samples. These techniques exploit the strengths of individual methods while overcoming their …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 37–50 Read article
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Needle Choice in Spinal Anesthesia: Is the 25-Gauge Whitacre Superior to the Quincke in Reducing Post-Dural Puncture Headache
Abstract: The process known as endotracheal intubation involves inserting a synthetic tube into the trachea and inflating the former’s cuff to create an airtight seal. Of all the specialized masks in the LMA family, the PLMA is the most intricate. The cuff, the airway tube, the drain (gastric access) tube, and the inflation line with pilot balloon are their four primary components. This drain tube aids in identifying mask malposition and …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 2, 2025 · pp. 22–30 Read article
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ML-Driven Defect Detection in Additive Manufacturing of Polymer Composites Using Thermal Imaging
Abstract: Polymer-based flexible biosensors have emerged as a pivotal technology in continuous health monitoring, yet their deployment in real-world settings is often hindered by undetected micro-defects and signal distortion caused during fabrication or usage. Existing diagnostic frameworks typically rely on post-hoc processing or bulky instrumentation, failing to offer scalable, real-time detection during additive manufacturing workflows. This study introduces an end-to-end, thermographic imaging-integrated framework for in-situ defect identification during the additive manufacturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 201–215 Read article
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Exploring the Therapeutic Potential of Phytochemicals in Aloe Barbadensis Miller Through Molecular Docking for Ulcerative Colitis Management
Abstract: Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by mucosal inflammation of the colon, often associated with immune dysregulation and oxidative stress. Natural compounds have gained significant attention as alternative therapeutic agents due to their efficacy and minimal side effects. Quercetin, a flavonoid abundantly found in Allium cepa (onion), has demonstrated potent anti-inflammatory and antioxidant properties. This study employs an in silico approach to evaluate the therapeutic potential …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 1, 2026 · pp. 06–12 Read article
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Phytoconstituents of Ticanto crista (L.) R. Clark & Gagnon (Caesalpiniaceae): A Review
Abstract: Ticanto crista (L.) R. Clark & Gagnon (= Caesalpinia crista L.), a member of the Leguminosae family, is a medicinally important plant traditionally used in various systems of medicine, including Ayurveda, for treating a wide range of ailments. It has attracted increasing scientific interest due to its rich phytochemical profile and therapeutic potential. This review serves as a comprehensive index of the chemical structures of common and medicinal compounds isolated …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 3, 2025 · pp. 38–59 Read article
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Deep Learning-Enhanced Polymer-Based Wearable Biosensors for Continuous Health Tracking via IoT
Abstract: The rapid proliferation of wearable biosensor technologies has transformed approaches to real-time health monitoring, yet challenges persist in achieving both mechanical robustness and reliable, continuous data analytics in dynamic environments. Conventional polymer-based sensing systems often fall short due to limited signal fidelity, inadequate adaptive analytics, or insufficient integration with secure, low-latency IoT frameworks. Addressing these deficiencies, this work introduces a flexible, deep learning-enhanced wearable biosensor platform that combines a nanostructured …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 18–31 Read article
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Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article
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Post Halela Zard (Terminalia chebula Retz.): A Review on Medicinal Utility from the Perspective of Unani Medicine
Abstract: Halela Zard (Terminalia chebula Retz.), commonly known as Haritaki in Sanskrit and Chebulic Myrobalan in English, is a cornerstone of Unani pharmacotherapy due to its remarkable therapeutic versatility. The dried pericarp of its fruit has been extensively employed in traditional medicine for the treatment of a wide spectrum of ailments, ranging from digestive disturbances to chronic systemic disorders. This review aims to present a comprehensive overview of Halela Zard by …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 19–26 Read article
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Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article
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DDoS Detection Using Cascade Correlation for Improving Network Resources in Cloud Environment
Abstract: Intrusion detection is critical for protecting network security from emerging cyber threats. This study describes a unique intrusion detection system (IDS) based on the Random Forest algorithm. Random Forests are used as an effective classifier to identify patterns linked with malevolent behaviour. This technique uses Random Forests to improve the accuracy and efficiency of intrusion detection systems. The suggested methodology's value is shown by its performance on the benchmark KDD …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 17–22 Read article