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1680 articles for “BCS Class II/IV drugs”
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The Molecular Structure of Chemical Compounds by using Quantitative Calculations in Chemistry
Abstract: Computational chemistry has its roots in the early attempts of theoretical physicists, beginning in 1928, to solve the Schrödinger equation using mechanical calculating machines. These calculations verified that the solutions of the Schrödinger equation quantitatively reproduced experimentally observed properties of simple systems such as the helium atom and the hydrogen molecule. These approximate solutions of larger systems and exact solutions of simple model problems allowed chemists and physicists to provide …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 2, 2025 · pp. 01–08 Read article
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Advanced Techniques in Filler Layering for the Malar Region: Implications for Cellular Integrity and Long-Term Outcomes
Abstract: Objective: This review investigates advanced filler layering techniques for the malar region, focusing on cellular integration, collagen remodeling, hydration dynamics via aquaporin channels, genetic responses, and filler performance over time. Emphasis is placed on high-density HA fillers (Lyft, Voluma, Volift, and Volux), examining cellular-level mechanisms, genetic interactions, and the role of key pathways (TGF-β, ERK/MAPK, AQP3) in long-term outcomes. Methods: A systematic review was conducted, focusing on genetic, cellular, and …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 1, 2025 · pp. 10–19 Read article
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Quinine: Past, Present, and Future Perspective in Malaria and Autoimmune Disorder
Abstract: Quinine, a natural alkaloid extracted from the bark of the cinchona tree, has traditionally played a key role in treating malaria, a disease caused by parasites of the Plasmodium genus. Since its discovery in the 17th century, quinine has evolved from a rudimentary treatment to an essential component of modern antimalarial therapies. This article explores the historical use of quinine in the fight against malaria, its role in current treatment …
Published in International Journal of Pathogens · Vol. 2, Issue 1, 2025 · pp. 24–33 Read article
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Biopolymer-Based Nanoparticles: Advances in Fabrication, Characterization, and Biomedical Applications
Abstract: The emergence of biopolymer-based nanoparticles, particularly those composed of proteins and polysaccharides, has significantly transformed the landscape of biocompatible and biodegradable materials. These nanoparticles offer immense potential due to their ability to facilitate encapsulation and targeted delivery of bioactive compounds, enhancing therapeutic efficacy while minimizing side effects. This review explores the various fabrication techniques, including emulsification, desolvation, coacervation, and electrospray drying, emphasizing their advantages and limitations. The characterization of nanoparticles …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 1, 2025 · pp. 38–46 Read article
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Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
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Fake Cryptocurrency Detection Using Python
Abstract: This study investigates the use of Python-based techniques for detecting fraudulent cryptocurrencies, addressing a growing concern in the digital financial ecosystem. The research methodology integrates various data science approaches, including web scraping, API integration, and advanced data analysis using Pandas and NLTK. Machine learning models, particularly classification algorithms such as Random Forest, are employed to analyze key features extracted from cryptocurrency whitepapers, social media discussions, and transactional data. By training …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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Cloud Enabled Machine Learning Framework for Medicine System
Abstract: The Medicine Generic App is a cutting-edge mobile application designed to empower users with information about generic medications. Given the rising expenses of healthcare and prescription medications, this app acts as a useful resource for consumers to make informed decisions regarding their medication options. The Medicine Generic App aims to promote generic drug usage, reduce healthcare costs, and improve medication management for users. By providing detailed information and price transparency, …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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A Comparative Study of different Techniques to predict Maternal Morbidity and Mortality Model
Abstract: Artificial intelligence (AI) encompasses a range of techniques, including machine learning and deep learning, which are increasingly utilized in the healthcare sector for tasks such as disease diagnosis and drug discovery. To achieve accurate disease diagnosis through AI, it is essential to integrate data from multiple medical sources, including ultrasound imaging, magnetic resonance imaging (MRI), mammography, genomics, and computed tomography (CT) scans, among others. This article presents a comprehensive review …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 Read article
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Sign Language-enabled Offline IP-based Video Call Intercom System for the Deaf
Abstract: Individuals who are deaf or hard of hearing frequently encounter major communication challenges on digital platforms because sign language support is often insufficient. This study presents a real-time, internet-independent sign language-to-text translation system embedded in an offline IP-based video intercom, designed to facilitate seamless communication. Leveraging TensorFlow’s Convolutional Neural Network (CNN) for classification and MediaPipe for hand tracking, the system achieved a training accuracy of 94.24% and a validation accuracy …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 53–66 Read article
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Potential Risk and Benefits in Developing New Nanobot Technologies and Future Posibilities
Abstract: The development of new nanobot technologies has the potential to revolutionize various fields, including medicine, manufacturing, and environmental science. However, as with any emerging technology, there are potential risks and benefits associated with nanobots. This abstract explores the potential risks, including toxicity, unintended consequences, and environmental impact, as well as the potential benefits, such as targeted drug delivery, diagnostic imaging, and tissue engineering. We also discuss the future possibilities of …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 87–93 Read article
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Visualization of genomic sequence in BRCA1 and BRCA2
Abstract: Heredity is the main reason of breast cancer in women and mutation or genetic variations also another reason for the spread of breast cancer. Heredity and genetic variations are responsible 5%-10%, 30%-50% respectively. There are 90% chances of developing neoplasm by the mutations. The effect of BRCA1 and BRCA2 may leads to the variations in DNA therefore it should be in limited amounts so that there will be minimum changes …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 1, 2025 · pp. 49–55 Read article
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Quantum Key Distribution in Optical Fiber Communication: A Study
Abstract: The relentless march of technological advancements, particularly in the realm of quantum computing, stances a noteworthy threat to security of existing cryptographic systems. Traditional encryption methods, like RSA and AES, trust on mathematical problems considered computationally hard for computers. However, sufficiently powerful quantum computers could render these systems vulnerable to attacks, jeopardizing the confidentiality of sensitive data transmitted over optical fiber networks. This looming threat has spurred significant research and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 1, 2025 · pp. 30–40 Read article
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Gesture-Based Cursor Control: A Comprehensive Review of Techniques and Applications
Abstract: Although hand gesture detection for man-machine interfaces has advanced recently, many systems still have issues with background and lighting. We have developed a rapid motion history image-based system to categorize dynamic hand motions and a face detection method to adaptively detect skin color. For the up, down, left-, and right-hand gesture classifiers, four sets of haar-like directional patterns were trained. To operate different household appliances, six hand gestures were defined, …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 1, 2025 · pp. 9–13 Read article
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Analyzing The Electromagnetic Transients and Corona Performance of Long Overhead Lines with Multiple Tower Spans
Abstract: This paper addresses the simulation of the electromagnetic transients developed in an important class of non-uniform high voltage power lines. The resulting information is of paramount importance for the proper planning, design, operation and protection of electric power networks. It deals particularly with long overhead high voltage transmission lines composed of several tower spans which are connected in cascade. The presented approach considers eventually existing localized corona discharges at some …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 1, 2025 · pp. 35–44 Read article
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Efficient Energy Management using Artificial Intelligence (AI) and Machine Learning (ML) in Chemical Industry
Abstract: The globe is moving toward higher usage of renewable energy sources, particularly solar and wind energy, as a result of depleting fossil fuel supplies and growing environmental concerns. There are several forecasting methods available for effective wind energy utilization. This review uses algorithms for predicting solar and wind energy as well as artificial intelligence (AI) techniques. A wind-coal coupling energy system planning scheme was designed to lower the high energy …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 33–50 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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Differential Privacy-Aware Data Sanitization for Multi-Level Security
Abstract: Multi-level security (MLS) models are fundamental for enforcing mandatory access control in high-security environments such as government, military, healthcare, and finance. However, traditional MLS frameworks, including the Bell-LaPadula and Biba models, often create rigid data silos, preventing efficient data utilization. Differential privacy (DP) presents a novel solution by enabling controlled information leakage while preserving confidentiality. By injecting statistical noise into query results, DP allows lower-clearance users to access sanitized versions …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 42–52 Read article
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Navigating the Principles and Practice of Oral Anticoagulant Therapy: A Comprehensive Healthcare Guide
Abstract: Oral anticoagulant therapy plays a critical role in the prevention and treatment of thromboembolic disorders, including atrial fibrillation (AF), venous thromboembolism (VTE), and mechanical heart valve replacement. This research article aims to provide a comprehensive overview of the principles and practice of oral anticoagulant therapy, focusing on the mechanisms of action, pharmacokinetics, clinical indications, monitoring, and management of associated complications. The cornerstone of oral anticoagulant therapy includes vitamin K antagonists …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 1, 2025 · pp. 76–82 Read article
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Rosemary: A Natural Way to Improve Brain Health and Cognitive Function
Abstract: Cognitive decline is a common consequence of aging, often leading to diminished quality of life. Although conventional drug treatments, such as anticholinesterase inhibitors, are available for managing cognitive decline, they are not always effective in older adults and may even induce adverse effects. As a result, there has been growing interest in natural alternatives, particularly traditional herbal medicines, for their potential cognitive-enhancing properties. Among these, Rosmarinus officinalis (Rosemary) has gained …
Published in International Journal of Brain Sciences · Vol. 2, Issue 1, 2025 · pp. 30–36 Read article
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Literature Review On Nanotechnology In Dentistry
Abstract: Nanotechnology is a relatively new field in dentistry that utilizes nanomaterials, nanorobots, and nanotechnology for diagnosing, treating, and preventing dental diseases. Nanotechnology has revolutionized various fields of dentistry, offering innovative solutions that enhance patient care, improve treatment outcomes, and contribute to the overall advancement of dental science. This cutting-edge technology has found applications in several areas, including restorative dentistry, dental implants, early cancer diagnosis, dental hypersensitivity, and pain management, among …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 · pp. 19–23 Read article