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1301 articles for “SR”
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Role of a Clinical Pharmacist in Attaining Medication Adherence in Oncology Department
Abstract: A Clinical pharmacist aims to contribute to safe medication use by providing comprehensive management to patients and medical staff, both in the community and the hospital. In oncology, these services include comprehensive medication reviews integrating chemotherapy, supportive care and treatment for co-morbidities, medication information for the medical staff and patients, therapeutic drug monitoring anticancer agents, supportive care counseling (nutritional support, pain management, chemotherapy side-effects prophylaxis and treatment), elaboration of therapeutic …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 10, Issue 3, 2021 · pp. 35–49 Read article
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Toxicology and Its Branches: A Brief Review
Abstract: Toxicology is called the science of poisons or can be defined as any substance, whose exposure can cause harm to any living body or to the environment. It can also be defined as the study of adverse effects of different chemical, biological or physical agents on living organisms and the ecosystems, including the prevention & enhancement of such adverse effects. It is concerned with all aspects of different poisons and …
Published in Research and Reviews: A Journal of Toxicology · Vol. 11, Issue 2, 2024 · pp. 27–45 Read article
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Reference of Circadian Rhythm in the Treatment of Psoriasis: A Novel Insight
Abstract: The objective of the present study was to establish the needs for different products in the treatment of psoriasis with reference to circadian rhythm. The events like proliferation of keratinocytes and elastase activity are influenced by circadian rhythm. The proliferation of the keratinocytes occurs more during early hours of the day however, the enzymatic activities occur post to that. Psorolin ointment and Psorolin oil were studied for the cell proliferation …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 2, Issue 2, 2015 · pp. 1–7 Read article
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Intercomparison of Rainfall Estimates of Probability Distributions for Developing the Intensity-Duration-Frequency Curves
Abstract: Determination of short duration rainfall through the developed Intensity-Duration-Frequency (IDF) curve is of utmost importance for planning, design, operation and management of civil and hydraulic structures. For which, extreme value analysis (EVA) of rainfall that consists of fitting probability distributions such as Normal, Log Normal (LN2), Pearson Type-3, Log Pearson Type-3, Extreme Value Type-1 (EV1) and Generalized Extreme Value (GEV) to the annual 1-day maximum rainfall series is carried out. …
Published in Journal of Water Resource Engineering and Management · Vol. 9, Issue 3, 2022 · pp. 39–53 Read article
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An Offline Space Division Multiplexing Based Elastic Optical Network Model with Switching and Modulation Format Adaptation for Flexible Spectrum and Spatial Assignment
Abstract: Abstract: The Space Division Multiplexing (SDM) based Elastic Optical Networks (EONs) (SDM-bEONs) is the proposed solution to both, the required upgradation of the network’s capacity constrained by the non-linear Shannon’s limit and the provisioning needed for the future diverse Internet traffic’s required capacity. With SDM providing ‘space’ as an additional freedom degree, the assignment of resource (i.e., spectrum and space) in the SDM-b-EONs translates into the Routing, Modulation Format, Space, …
Published in Trends in Opto-electro & Optical Communication · Vol. 9, Issue 1, 2019 · pp. 1–23 Read article
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Real-Time Crack Detection in Polymer Composites Using Embedded IoT Sensor Networks
Abstract: This study developed an embedded Internet of Things sensor network for real-time crack detection, localization, and severity assessment in glass–fiber-reinforced polymer composites. Four polyvinylidene fluoride sensors were embedded near the laminate mid-plane and connected to synchronized wireless acquisition nodes. Controlled low-velocity impacts generated graded damage states. Ultrasonic C-scan and optical microscopy provided independent labels. A compact multi-channel convolutional model processed normalized waveforms, spectral entropy, signal energy, and arrival-time differences at …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 866–899 Read article
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Generative AI-Driven Design Optimization of Lightweight Polymer Composites for Electric Vehicles
Abstract: Lightweight polymer composites are increasingly important for electric vehicles, where mass reduction must be achieved without compromising structural performance, thermal stability, manufacturability, or material reliability. This study develops a generative AI-driven inverse-design framework for identifying experimentally credible lightweight polymer-composite configurations under coupled EV-oriented constraints. Public experimental polymer-composite datasets were integrated through leakage-controlled preprocessing and group-aware validation. A multi-task neural surrogate predicted mechanical response, while a conditional variational autoencoder explored feasible …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Effects of Fiber Hybridization on Tensile, Flexural, and Impact Strength of Hybrid Natural Fiber Epoxy Composites
Abstract: This study investigates the mechanical performance of epoxy composites reinforced with hemp, ramie, and flax fibers and evaluates the effect of fiber hybridization. Single-fiber composites were fabricated using hand lay-up followed by vacuum-bagging consolidation and compared with three hybrid systems: hemp–flax (HF), hemp–ramie (HR), and flax–ramie (FR). Tensile, flexural, and drop-weight impact properties were evaluated using standardized test procedures. Among the single-fiber composites, flax exhibited the highest tensile strength of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 295–305 Read article
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Cognitive Impairment in Alzheimer’s Disease
Abstract: Alzheimer's disease (AD) is a condition that leads to the deterioration of brain cells and is the primary cause of dementia, characterized by a decline in autonomy and cognitive function in day-to-day activities. The cholinergic hypothesis and the amyloid hypothesis are the two main theories proposed to explain AD's multifaceted nature. Characterized by a decline in autonomy and cognitive function in day-to-day activities. The cholinergic hypothesis and the amyloid hypothesis …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
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Sustainable Biomedical Polymer Composites Designed through Artificial Intelligence Approaches
Abstract: The development of sustainable biomedical polymer composites has become one solution that can be used to combat increasing environmental issues that have been presented by traditional medical materials without compromising functional performance. Implementation of the artificial intelligence (AI) in material design presents a paradigm shift of data-driven development, which improves the efficiency, accuracy, and scalability of composite development. The given work can serve as a universal guideline in developing biodegradable …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Development of Smart Cooling Optimization System for CNC Machining Applications
Abstract: In modern manufacturing industries, achieving high machining accuracy, improved surface finish, and extended tool life remains a significant challenge, particularly during the machining of hard materials where excessive heat generation at the tool–workpiece interface is inevitable. Conventional coolant systems often suffer from limitations such as manual control, inconsistent flow rates, and inefficient coolant usage, which negatively impact productivity and environmental sustainability. This paper presents the design and development of an …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 1–13 Read article
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Self-Healing Graphene–Polymer Nanocomposite Encapsulation Layers for Ultra-Stable Perovskite Photovoltaic Modules under Extreme Environmental Conditions
Abstract: The recent trend is that perovskite photovoltaic modules are vulnerable to moisture, oxygen, thermal cycle, UV, and mechanical stress, which seriously affect the working stability of the modules under harsh environmental conditions, thereby hindering the rapid commercialization. In this study, a new self-healing graphene–polymer nanocomposite encapsulant layer is proposed to improve the durability and reliability of perovskite solar modules in extreme climates. The encapsulation system combines functionalized graphene nanosheets into …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Measuring Microstructure, Wear Resistance, and Mechanical Reliability Enhancement in Polymer Nanocomposites via Data-Driven Analysis with Deep Learning
Abstract: Polymer nanocomposites have gained great attention owing to their superior mechanical performance, better wear resistance and customizable microstructural properties for aerospace, automotive, medicinal and industrial engineering applications. However, the correct evaluation of the link between the microstructure evolution and the material reliability is a huge issue due to the intricacy of nanoscale interactions and diverse material characteristics. In this study, we propose a data-driven approach that integrates deep learning and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Effects of Halloysite Nano particle Reinforcement of Epoxy Composite Using a Diglycidyl ether of bisphenol-A Prepared by Ultrasonication Casting
Abstract: This study explores a simple and operative approach for developing stronger epoxy-based composite materials by incorporating halloysite nanotubes (HNTs). The composites were made-up through hydraulic compression casting, combining ultrasonic mixing with applied pressure to produce consolidated composite sheets. HNTs were added to the epoxy resin at concentrations ranging from 1 to 5 wt.% at approximately 60°C, and the subsequent composites were examined to understand their internal structure, nanotube dispersion, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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A Particle-Derived Nonlinear Dynamical Framework for Bubble Oscillations: Reduced-Order Modeling, Bifurcation Analysis, and Optimal Stabilization
Abstract: Particle-based fluid simulation has emerged as a powerful computational framework for modeling complex multiphase flows involving large deformations, moving interfaces, and nonlinear fluid interactions that challenge conventional mesh-based approaches. In this work, a nonlinear dynamical systems framework is developed for particle-resolved bubble oscillations by constructing a reduced-order model that preserves the dominant physical mechanisms governing bubble interface evolution. The formulation represents the bubble dynamics through coupled radial and shape deformation …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 11–33 Read article
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Quantitative Study on the Impact of Holding Duration on Unfiltered FFP Composition
Abstract: Ensuring the safety and quality of transfusion products is a cornerstone of transfusion medicine. The presence of leucocytes in blood components can lead to adverse reactions and increase the likelihood of transfusion-related complications, highlighting the importance of minimizing their content prior to transfusion. Elevated leucocyte levels have been detected in unfiltered fresh frozen plasma (FFP) units prepared from whole blood processed after a short holding time (SHT) – the interval …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 · pp. 49–63 Read article
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Optimizing Performance Characteristics, Thermal Stability, and Manufacturing Performance of Polymer Nanocomposites Using Artificial Intelligence
Abstract: Artificial intelligence (AI) has proven an efficient method to optimize the design and manufacture of polymer nanocomposites, allowing the proper prediction of the behavior of the materials and the results of the processing. This work proposes an AI-based framework to enhance the performance characteristics, thermal stability and manufacturing performance of advanced polymer nanocomposites. The input variables of the proposed framework are the material composition, the nanoparticle concentration, the particle size, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Implement Artificial Intelligence and Machine Learning for Engineering Design, Predictive Modeling, and Optimizing Polymer Nanocomposites
Abstract: Polymer nanocomposites are high performance engineered materials obtained by inclusion of nano-sized fillers into the polymer matrix to enhance mechanical, thermal, electrical, barrier and functional properties. However, the complex and non-linear interactions among polymer chemistry, nanofiller characteristics, filler concentration, dispersion, interfacial bonding and processing conditions make it challenging to anticipate and maximize their properties. Artificial intelligence (AI) and machine learning (ML) offer powerful data-driven solutions to these difficulties by establishing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Thermo-hydraulic Performance of Multi-Pass Double-Pipe Heat Exchangers: Integrating Polymer Composite Tube Wall Materials via CFD Parametric Study and Experimental Validation
Abstract: Metallic materials such as steel and copper have traditionally dominated heat exchanger manufacturing because of their excellent thermal conductivity, mechanical strength, and long-established industrial reliability. However, their high weight, susceptibility to corrosion in aggressive operating environments, and inability to provide tunable thermal properties have motivated interest in alternative materials for next-generation thermal systems. Thermally conductive polymer composites reinforced with graphene nanoplatelets (GNP), boron nitride (BN), and carbon-based fillers offer an …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Reliability-Aware Mathematical Model for Radiation-Hardened Satellite Communication Systems
Abstract: Satellite communication systems operate in radiation environments in which total ionizing dose (TID), displacement damage, and single-event effects (SEE) can progressively degrade electronic, optoelectronic, and communication components and can ultimately reduce link availability and mission reliability. This paper develops a Reliability-Aware Radiation-Hardened Satellite Communication Model (R-RHSCM) that mathematically couples the orbital radiation environment, accumulated radiation dose, component degradation, communication-link performance, single-event failure probability, redundancy, thermal effects, and adaptive mitigation. The …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article