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276 articles for “sensitivity enhancement”
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Real-Time Air Quality Prediction Using IoT-Integrated Polymer Sensors and Recurrent Neural Networks
Abstract: Real-time air quality monitoring remains a critical challenge in urban environments, where traditional sensor infrastructures often suffer from limited responsiveness, poor scalability, and high deployment costs. The increasing prevalence of NO₂ pollution, a key contributor to respiratory and cardiovascular ailments, demands advanced sensing platforms capable of both accurate detection and predictive inference. Existing methods either rely on rigid electronic sensors lacking adaptability or on statistical forecasting models that fail to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 332–347 Read article
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Photochemically Assisted LC–MS Method Development and Validation for Stability-Indicating Determination of Glasdegib in Rat Plasma
Abstract: A simple, precise, and cost-effective LC–MS method was successfully developed for the determination of Glasdegib in rat plasma. The method optimization was carried out by systematically varying key chromatographic parameters, including flow rate, injection volume, analyte concentration, and mobile phase composition, to achieve optimal sensitivity and resolution. A C18 Hypersil BDS column (150 mm × 4.6 mm, 3.5 µm particle size) was used for chromatographic separation, offering effective peak shape …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 1, 2026 · pp. 11–20 Read article
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Revolutionizing Veterinary Diagnostics: Nanoparticles and AI Precision
Abstract: The field of veterinary diagnostics is undergoing a transformative revolution propelled by the synergistic integration of nanoparticles and artificial intelligence (AI) precision. Nanoparticles, with their unique physical and chemical properties, present a groundbreaking avenue for enhancing diagnostic sensitivity and specificity in animal healthcare. Engineered to interact with specific biological markers associated with various diseases, nanoparticles offer unprecedented accuracy in early disease detection. Furthermore, their versatility extends to targeted drug delivery, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 25, Issue 3, 2023 · pp. 35–39 Read article
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Rethinking Type-1 Diabetes Treatment: Emerging Medicines Based on AAT Therapy and C-peptide Preservation Therapy
Abstract: The increasing number of cases, especially in the younger age group, along with the lack of accessible clinical solutions, make Type-1 Diabetes (T1D) a growing global health concern. While gene therapy and transplantation approaches are promising avenues, their excessively high costs and logistical difficulties make them inaccessible to the majority and can impose a financial burden on those suffering from it, adding to the challenges already faced by these advanced …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 19–29 Read article
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IoT and Smart Sensors for Structural Health Monitoring: Trends, Challenges, and Future Directions
Abstract: Structural Health Monitoring (SHM) plays a critical role in ensuring the safety, resilience, and sustainability of civil infrastructure systems. In recent years, the convergence of Internet of Things (IoT) technologies and smart sensor systems has revolutionized the field of SHM. This integration enables continuous, real- time monitoring, facilitates predictive maintenance, and reduces the costs associated with structural inspections. IoT-based SHM frameworks leverage wireless sensor networks, cloud computing platforms, and intelligent …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 1–6 Read article
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REVIEW OF PHARMACOEPIGENETICS: BRIDGING EPIGENETICS AND PERSONALIZED MEDICINE
Abstract: Pharmacoepigenetics is an emerging field that explores how alterations in gene expression, independent of DNA sequence changes, influence individual responses to drugs. Unlike pharmacogenetics, which focuses primarily on genetic variation, pharmacoepigenetics integrates genetic, environmental, and lifestyle factors to explain interindividual differences in drug efficacy, toxicity, and resistance. Key epigenetic mechanisms including DNA methylation, histone modifications, non-coding RNAs, and RNA methylation play critical roles in regulating drug metabolism and therapeutic outcomes. …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 1, 2026 · pp. 33–40 Read article
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A Comprehensive Analysis of Aloe Vera Gel Processing and Its Antidiabetic Properties: A 3D Computational Biology Perspective"
Abstract: This expansive review paper delves into the intricate realm of Aloe vera gel processing and its potential antidiabetic properties, augmented through the lens of 3D computational biology. The review amalgamates insights from various references to elucidate the handling, harvesting, and juice extraction of Aloe vera gel. Additionally, it explores diverse products derived from Aloe vera, such as Aloe juice, Aloe health drink, and Aloe dessert, providing an extensive understanding of …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 10, Issue 2, 2023 · pp. 18–21 Read article
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Optimization of gas sensitivity of CuO/carbon composites with carbon particles synthesized from acacia auriculiformis branches
Abstract: Carbon particles fabricated from the core of acacia tree branches were utilized to synthesize CuO/carbon composite films. The gas sensing properties of these films grown on glass substrates using the doctor blade method were measured in 1000 ppm of methanol vapor at the room temperature. All the films were annealed at 75 0C for 1 hour in air. The structure, the optical band gap and the surface morphology of the …
Published in International Journal of Membranes · Vol. 1, Issue 1, 2024 · pp. 22–30 Read article
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Role of Clinical Pharmacists During Cardiopulmonary Resuscitation in Intensive Care Units and Emergency Departments: A Narrative Review
Abstract: Cardiopulmonary resuscitation (CPR) represents an essential emergency procedure designed to reestablish spontaneous circulation and enhance survival rates among individuals suffering cardiac arrest. Successful resuscitation necessitates prompt clinical judgment, expeditious pharmaceutical interventions, compliance with advanced cardiovascular life support (ACLS) guidelines, and synchronized interprofessional collaboration. During recent decades, clinical pharmacists have gained greater incorporation within emergency response and resuscitation units owing to their specialized knowledge in medication oversight, pharmacotherapeutic enhancement, and patient …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 12–25 Read article
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Comparative Analysis of Processing-Property Relationships in Metal and Polymer Matrix Composites: A Unified Statistical Framework for Hardness Characterization
Abstract: Composite materials, encompassing both metal matrix composites (MMCs) and polymer matrix composites (PMCs), exhibit complex processing-property relationships that fundamentally govern their mechanical performance across diverse applications. This study presents a unified statistical framework for analyzing hardness characteristics in composite systems, using aluminum-tungsten carbide (Al-WC) metal matrix composites as a representative model system while establishing connections to polymer matrix composite behavior. The investigation employed comprehensive processing parameter optimization, microstructural characterization, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 419–430 Read article
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Review on CBIR Image Based on Colour, Texture and Shape Features of Biomedical Image Applications
Abstract: This study seeks to understand how different image enhancing methods affect the sensitivity of contrast-based textural measures and morphological traits derived from high-resolution satellite data (three-band SPOT-5). The built-up/non-built-up detection framework is the backbone of every biomedical application. Using supervised learning while working with a low-resolution reference layer reduces uncertainty and boosts the reference layer's quality in a roundabout way. The image's histogram is recalculated based on contrast in order …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 8–13 Read article
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Assessing the Sensitivity of the Strength Properties of Asphalt Concrete Mixture to the Variation in Asphalt Binder Content
Abstract: The variationsin the asphalt cement binder content withinthe job mix formula, may exhibit a great influence on the required strength properties of asphalt concrete mixture. The present investigation deals with asphalt concrete mixtures which are usually implemented for wearing course pavement layer. The mixtures were prepared at optimum binder content of 4.8 %, and at ± 0.5 % of the optimum binder content and subjected to the short-term ageing process.Slab …
Published in Trends in Transport Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 26–34 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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Design and Fabrication of Tapered Optical Fiber Related Devices
Abstract: By joining conical single-mode fibers, a Mach-Zehnder interferometer with a refractive index (RI) sensor was produced. Sensors were made directly from conical SMFs using a Vytran engine. Compared to the single-taper sensor, the dual-taper sensor turned out to be more efficient. With a 10mm gap between the two taper sites in the dual-taper sensor arrangement, the RI fluctuation was quite noticeable. The principles underlying the design and fabrication of tapered …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 1–7 Read article
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The Mycobiome Frontier – Pre & Post 2020 Status: Integrating Fungal Bioactive Compounds, Probiotics, and Antimicrobial Peptides in Modern Therapeutics and Biotechnology.
Abstract: The fungal kingdom represents an indispensable resource in modern therapeutics and biotechnology, offering a diverse array of bioactive compounds, probiotics, and antimicrobial peptides (AMPs). Functional fungal polysaccharides (FFPs), such as beta-glucans, chitin, and mannans, are centrally involved in modulating the human gut microbiota, providing novel therapeutic avenues for chronic conditions including diabetes, neurodegenerative disorders, and cancer. These compounds act as prebiotics, nourishing beneficial bacteria and enhancing metabolic parameters such as …
Published in International Journal of Fungi · Vol. 3, Issue 1, 2026 · pp. 1–11 Read article
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Enhanced Room-Temperature Gas Sensing Performance of 2% Mn-Doped Sri Lankan Natural Graphite Thin-Film Sensors for Ammonia, Acetone, and Ethanol vapors Detection
Abstract: The development of room-temperature gas sensors with high sensitivity, fast response, and low-cost remains a critical challenge for environmental monitoring and safety applications. In this work, we report the fabrication and characterization of a 2% Mn-doped Sri Lankan natural graphite thin-film sensor for the detection of ammonia (NH3), ethanol (C2H5OH), and acetone (C3H6O) vapors under ambient conditions. The sensor was prepared using the doctor-blade coating method on Indium Tin Oxide …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 2, 2026 · pp. 39–49 Read article
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Exploring Electric Skateboards: Comprehensive Insights into Design and Modeling
Abstract: Environmental protection and energy conservation have become primary concerns in the 21st century, prompting accelerated efforts to plan and develop electric vehicle (EV) technology. EVs offer numerous advantages, including zero emissions, the establishment of a new automobile industry, economic development, and the creation of efficient and smart transportation systems. This project introduces a foot-controlled steering system designed to enhance vehicle control, making it suitable for various road conditions and reducing …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 · pp. 39–45 Read article
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The Renaissance and Resilience of CB1 Reverse Agonists: From Central Liabilities to Peripheral Promise
Abstract: Building upon these foundational insights, current research has increasingly focused on refining the pharmacological profile of CB1 reverse agonists to maximize therapeutic benefit while minimizing central adverse effects. The adverse neuropsychiatric outcomes associated with first-generation agents such as Rimonabant including anxiety, depression, and suicidal ideation highlighted the critical role of central CB1 receptors in mood regulation. Consequently, drug development strategies have shifted toward peripherally restricted CB1 reverse agonists that exhibit …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 30–35 Read article
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Feature Extraction and Analysis of Bearing Faults: A Review
Abstract: One of the most important steps in identifying bearing problems is feature extraction. In order to provide a more meaningful dataset, it entails locating and extracting pertinent features from raw bearing vibration signals. Tasks involving categorization and prediction can then make use of these attributes. In many practical applications, such as monitoring rotating machinery or electronic components, the raw signals collected (e.g., vibration, current, temperature) are often complex, high-dimensional, and …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 20–28 Read article
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What Nurses Should Know About New Ways to Treat Muscle Pain
Abstract: Muscle discomfort is a common clinical concern that can significantly limit mobility, functional ability, and overall quality of life. Recent advancements in assessment and management strategies have enabled nurses to deliver more precise, evidence-based care for patients experiencing muscular pain. Emerging diagnostic approaches now include enhanced screening scales that offer greater sensitivity in identifying pain patterns, as well as digital monitoring tools that allow continuous evaluation of symptoms across care …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 12–17 Read article