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635 articles for “qualitative research”
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Fast Dissolving Oral Thin Films: A Review
Abstract: Fast-dissolving oral thin films (FDOFs) represent a significant advancement in drug delivery technology, offering advantages over traditional solid dosage forms, especially for patients with swallowing difficulties. FDOFs dissolve rapidly in the mouth, releasing the active ingredient without the need for water or chewing. They have picked up ubiquity due to their comfort, taste veiling capabilities, and progressed persistent compliance. Ideal drugs for FDOFs should possess characteristics such as solubility, stability, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 1, 2024 · pp. 24–31 Read article
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Polymer Nanocomposites As Emerging Platforms in Pharmaceutical Nanotechnology
Abstract: Nanotechnology allows the handling of materials in the 1–100 nm range, where distinct physicochemical phenomena, including quantum effects and higher surface-to-volume ratio, enable disruptive uses in pharmaceuticals and biomedicine. Significant challenges in solubility, stability and targeted biodistribution of therapeutics can be overcome by incorporating nanostructured polymers and polymer-based composites into drug delivery systems. PLGA nanoparticle and other nanocarriers, such as PLGA micelles, dendrimers, and hydrogels, have revealed promising effects on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 268–278 Read article
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Muscle vs. Heart: A Comprehensive Review of Anabolic Steroid-Induced Cardiovascular Risks
Abstract: Anabolic-androgenic steroids (AAS) are widely used by athletes and bodybuilders to enhance muscle mass and performance. However, their misuse is associated with serious and often underrecognized cardiovascular risks. Despite their popularity, particularly among young adults, the long-term consequences of AAS abuse on cardiovascular health remain insufficiently explored in the literature. This review aims to: 1. Analyze the cardiovascular implications of AAS use. 2. Elucidate the molecular and physiological mechanisms contributing …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 2, 2026 Read article
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Smart Home Safety Using Fire and Gas Detection System
Abstract: In a world where technology is advancing at a rapid pace, one goal of smart homes is to protect the safety of the house and, most importantly, the people who live there. An essential part of our suggested systems' functionality is the inclusion of fire and gas detection sensors. The increasing use of smart homes has shown new ways of increasing security and safety through including intelligent techniques in proper …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 1, 2024 · pp. 35–43 Read article
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The Architecture of Creek Road Market and the Image of Port Harcourt Metropolis, Rivers State, Nigeria
Abstract: Marketplaces are seen as centers of attraction in every city. Therefore, the architecture of marketplaces should be given extensive attention to attract a positive image of the city. If the architecture of a market lacks functionality, it will affect the perception of the city. Often, market designers ignore the key users of the market space and focus on providing profit-oriented spaces. This leads to the spillover of trading activities by …
Published in International Journal of Urban Design and Development · Vol. 4, Issue 1, 2026 · pp. 13–24 Read article
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Analysis of Polyhouse Parameter to improve Agriculture efficiency Using PLC and SCADA
Abstract: Climate change brought on by pollution, global warming, etc. has impacted the agriculture sector's yield recently. The fact that our farmers continue to use conventional practices is another factor. On the other side, one of the primary problems this research focuses on employing green technology, namely poly home farming, is the depletion of resources like land and water. Therefore, the study in this paper focuses on applying end-to-end solutions to …
Published in International Journal of Advanced Control and System Engineering · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Role of Centella asiatica in Alzheimer’s Disease: A Comprehensive Review
Abstract: Alzheimer's disease (AD) is a progressive neurological illness that causes cognitive decline and memory loss and affects millions of people worldwide. As synthetic medications often prove ineffective or cause severe side effects, natural remedies are gaining attention. This review explores the potential of Centella asiatica, a herb traditionally used in oriental medicine, in the treatment of Alzheimer's disease. Triterpenoids, asiaticoside, and madecassoside are among the bioactive substances found in Centella …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 1–7 Read article
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To Evaluate the Performance of the Selected Hybrid Systems and Validation of Mathematical Model with the Experimental Data
Abstract: The main aim of this paper to evaluate the performance of the PV-Wind hybrid systems and validation of mathematical model with the experimental model. In the research paper, the experimental model of PV-Wind Hybrid system has been installed at a height of 22 meters in the School of Energy and Environmental studies, DAVV, Indore, and M.P., India. The theoretical calculation of the wind generator output has also been compared with …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 2, 2025 · pp. 20–28 Read article
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Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Method: A Comprehensive Review
Abstract: Structural health monitoring (SHM) has a critical role in ensuring civil infrastructure safety, reliability, and durability through real-time, condition-based monitoring. Traditional SHM systems employ hundreds of sensors such as accelerometers, strain gauges, and displacement transducers for monitoring vast amounts of data for structural inspection, but do not effectively manage complicated nonlinear data. This research paper, “Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Methods,” investigates …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
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Recycling of Waste Cloths for Greener Future
Abstract: The exponential development of fashion and textile industries around the world largely increase, the production of waste cloth has grown by a steep rate, presenting serious environmental issues in terms of landfill garbage, greenhouse gas emissions and waste depletion. Millions of tons of textiles are disposed of every year, and the recycling of waste cloth has become one of the critical solutions to a circular economy in the process of …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 1–13 Read article
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Service Life Improvement Analysis of Cryogenically Treated Blanking Punch
Abstract: After traditional heat treatment, Cryogenic treatment is carried out as a secondary process to improve the hardness and wear resistance of tool steels. The researchers have already studied and it is well published the potential use of cryogenic treatment of AISI D2 tool steel under laboratory conditions. However, to ensure the sustainable use of this technology for industrial application, its analysis is essential. Therefore, in this work a small scale …
Published in Trends in Mechanical Engineering & Technology Read article
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Refining Retinal Layer Segmentation in OCT Imaging with Advanced Techniques and Clinical Applications
Abstract: Segmenting retinal layers from Optical Coherence Tomography (OCT) pictures entails locating and separating different retinal layers to offer comprehensive anatomical and pathological information. Age-related macular degeneration, diabetic retinopathy, and glaucoma are among the retinal illnesses for which this procedure is crucial for diagnosis and follow-up. By utilizing preprocessing techniques to improve image quality and applying advanced algorithms—such as intensity-based, gradient-based, and texture-based methods—alongside deep learning approaches, clinicians can accurately measure …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 01–06 Read article
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Comparative Performance Study: Deterministic vs. Probabilistic Models in Retail Chains
Abstract: The finished goods, raw materials, and product stock that a business has on hand for sale are referred to as inventory. They enable the companies to achieve their sales levels and are a chance to cost control and decision making. It is a huge asset to a manufacturing firm. Inventory model permits forecasting of quantities of raw material, inventory and spare parts of the equipment to a very high level …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 1–6 Read article
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Thin Film Coatings for Anti-Reflective and Anti-Fogging Applications in Optical Devices
Abstract: To maximize optical device lifetime and performance, thin film coatings are crucial. Coatings with anti-reflective (AR) and anti-fogging (AF) properties are important uses that improve optical systems' usability and performance. This review covers materials, deposition methods, and performance measures, providing a thorough analysis of recent developments in AR and AF thin film technologies. The study examines several techniques, such as chemical vapor deposition (CVD), sputtering, and sol-gel procedures, for producing …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 2, 2024 · pp. 26–30 Read article
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Association Rule Mining for Predicting Heart Disease: Challenges and Opportunities
Abstract: The exponential growth of digital healthcare data has spurred innovative applications of data mining techniques in medical research and practice. Among these, association rule mining stands out for its ability to uncover meaningful correlations within diverse datasets, such as electronic health records, imaging data, and genetic information. This paper reviews the application of association rule mining in predicting heart diseases, emphasizing its potential to enhance early detection, risk stratification, and …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 29–34 Read article
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Use of AI Tools to Create New Drugs
Abstract: The emergence of artificial intelligence in pharmaceutical research [in drug discovery] is a revolution in pharmaceutical research, often combining computational methods with traditional research methods to solve problems. This review article describes various applications of artificial intelligence at various stages of drug development and highlights significant advances and approaches. He explores the critical role of intelligence in drug design, polypharmacology, drug synthesis, drug repurposing, and prediction of drug properties, such …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 22–49 Read article
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QSAR Modeling Techniques: A Comprehensive Review of Tools and Best Practices
Abstract: Quantitative Structure–Activity Relationship (QSAR) modeling has become an essential tool in drug discovery, toxicity assessment, and environmental chemistry. By correlating chemical structure with biological activity or toxicity, QSAR enables the prediction of compound behavior without extensive experimental testing. This approach not only saves time and resources but also supports ethical practices by reducing reliance on animal studies. The evolution of QSAR from basic linear models to advanced machine learning and …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 56–63 Read article
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Comparative Energy and Exergy Performance of Box-Type Solar Cookers Using Various Pot Materials
Abstract: This research presents a laboratory study of a box-type solar cooker for two types of pot materials. Under the climate conditions of Jaipur, experiments were carried out on a standard box-type solar cooker using steel and aluminum vessels, either with or without a load. It is estimated what the merit figure (F1 and F2) is. The obtained F1 values show that the cooker, when used with steel and aluminum containers, …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 1, 2024 · pp. 9–15 Read article
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Prediction of Mobile Phone Price Using Machine Learning Classifiers
Abstract: One cannot imagine one's life without mobile phones; in today's digital era, mobile phones have become a necessity for everyone to fulfil their various demands like messaging, communication, entertainment, productivity, research, shopping and many more. In a thriving market of mobile phones where new smartphones are launched every year with new advanced features and various designs, determining the expense of a mobile can be a trouble-some tasks for consumers. In …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 101–108 Read article
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Hydrogen-based Steel Making - The future?
Abstract: The largest energy consumer i.e. 5% of global energy consumption and 7% of global CO2 emissions are produced by the iron and steel sector. The steel industry is a significant contributor to anthropogenic CO2 emissions, largely due to the use of carbon as a reducing agent in the production of virgin steel. The main cause of these emissions is the decrease in iron ore. While recycling scrap steel in electric …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 2, 2024 · pp. 38–65 Read article