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378 articles for “Constraint”
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Thermoplastic Resins: A Novel Approach to Removable Partial Dentures
Abstract: Behind all complexities in the world stand simple solutions. In the present era of fixed prosthetic dentistry cast partial dentures are still being used owing to the anatomical and biomechanical constraints in the oral cavity. The difficulties encountered by patients with cast partial denture are an age old saga. The common problems are unaesthetic appearance of the clasp, rigidity of denture base resin, unavoidable tooth preparation, weight of the prosthesis, …
Published in Research and Reviews: A Journal of Dentistry · Vol. 5, Issue 2, 2014 · pp. 3–8 Read article
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Socio-Economic Status and Patient Rehabilitation in India: A Community Physiotherapist’s Odyssey
Abstract: Rehabilitation of patients belonging to lower socio-economic status in India can be challenging. This is due to many reasons. Some of the commonly found causes are lack of adequate health care facilities, patient overload and lack of skilled physiotherapists and lack of awareness among the patients. Given the time and resource constraints in a country like India, it is important to look for cost-effective solutions that could help in alleviation …
Published in Research and Reviews: A Journal of Health Professions · Vol. 4, Issue 1, 2014 · pp. 22–23 Read article
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Baseline KABP Study Related to HIV among Young People in Kamrup District, Assam
Abstract: Youth is that period in one’s life span when physical, emotional, social and mental changes take place. It is a period of transition from childhood to adulthood. The World Health Organization defines “adolescents” as people between 10–19 years of age; “youth” as those between 15–24 years; and “young people” as those between 10–24 years (World Health Organization, 1989). It is a very crucial period in one’s life span as this …
Published in Research and Reviews: A Journal of Health Professions · Vol. 4, Issue 3, 2014 · pp. 5–9 Read article
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Canine Ehrlichiosis and Its Diagnostic Techniques: Review
Abstract: Canine monocytic ehrlichiosis, caused by Ehrlichia canis is one of the important immuno-suppressive infectious vector-borne diseases of dogs. Importantly, canine ehrlichiosis can be caused by different Ehrlichia species, which are intracellular rickettsial organisms belonging to the order Rickettsiales and included in the family Rickettsiaceae. Ehrlichias are the obligate intracellular organisms that affects the host immunologic response. It is typically a disease of leukocyte and platelet manifested by an acute reduction …
Published in Research and Reviews : A Journal of Immunology · Vol. 10, Issue 1, 2020 · pp. 1–11 Read article
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Recall Abilities in Children with Learning Disability as a Function of Modality of Stimulus Presentation
Abstract: Recallrefers to the subsequent re-accessing of events or information from the past, which have been previously encoded and stored in the brain. Recall can be tested practically by exposing the participants to the stimulus and asking them to recall the stimulus either in the same of presentation or in any order. The process of recall is sensitive to many variables. The modality of stimulus presentation is a major variable affecting …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 8, Issue 1, 2019 · pp. 13–17 Read article
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Extent of Lingual Coarticulation: A Crosslinguistic Study Using Ultrasound Imaging
Abstract: In the recent past, Ultrasound imaging has been used extensively as a tool to measure coarticulation. The extent of coarticulation is the magnitude of distance between tongues contours of adjacent phonemes that varies based on the articulatory dynamics of each phoneme. This lack of invariance is language-specific which is related to the articulatory constraint properties of a particular language. In this context, the present study aimed to analyse the magnitude …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 8, Issue 3, 2019 · pp. 22–31 Read article
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Heuristic Application on Energy Storage System Allocation in Wind Integrated Power System
Abstract: Increasing penetration of renewable energy significantly alters the network power flow in terms of direction as well as magnitude. The intermittent and uncertain nature of renewable inputs is a major concern since the power flow in the system is affected considerably. Hence to support bulk integration of renewable energy in the power system, bulk or distributed energy storage systems can be implemented. The energy storage system is utilized to absorb …
Published in Journal of Power Electronics and Power Systems · Vol. 12, Issue 2, 2022 · pp. 21–31 Read article
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Design and Development of Electric Two-Wheeler
Abstract: Presently, the fuel can exceed just for a particular period and it also becomes costlier and creates environmental issues. Due to these constraints, alternate fuels and other source of energy like solar, wind, etc. bringing car industry to subsequent level. Also, the electrical vehicles are developing rapidly. The electricity stored during a rechargeable battery, which provides power to electric motor and this power helps in propulsion of motorcycle. This study …
Published in Journal of Production Research & Management · Vol. 10, Issue 1, 2020 · pp. 1–11 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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Recent Advances in Diabetes Management: A Gendered Approach in North India
Abstract: Background: Diabetes Mellitus remains a major public health issue in India, with disproportionate burdens observed in North India and among women. Objectives: To examine gender and residence-based disparities in glycemic control, medication adherence, and healthcare access among adults with Type 2 Diabetes Mellitus (T2DM) in North India. Page 2 of 7 Methods: A cross-sectional study was conducted among 800 adults with T2DM across five North Indian states. Data on clinical …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 2, 2026 Read article
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A Review Paper on Scheduling of Electric Vehicle using Different Types of Electric Motor
Abstract: The rapid growth of electric vehicles has created a strong need for efficient scheduling strategies to enhance overall system performance and energy utilization. This paper presents a comprehensive review of scheduling approaches for electric vehicles by considering different types of electric motors, including direct current motors, brushless direct current motors, permanent magnet synchronous motors, switched reluctance motors, and induction motors. Each motor type exhibits unique operational characteristics that influence efficiency, …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 71–78 Read article
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Comparing Graphical and Algebraic Methods in Solving Linear Programming Problems
Abstract: Linear Programming (LP) is a fundamental optimization technique widely employed across engineering, manufacturing, transportation, finance, healthcare, and other industrial sectors to support effective resource allocation and informed decision- making. Among the various solution techniques, the graphical and algebraic methods remain the two most fundamental approaches, each offering distinct advantages depending on the complexity and dimensionality of the optimization problem. This paper presents a comprehensive comparative study of these methods by …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 33–43 Read article
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Physics-Informed Machine Learning and Multiscale Modeling for Structure–Property Quantification of Polymer Composites
Abstract: The growing need for light-weight, high strength, and sustainable polymer composites has led to the development of smart methods that enable accurate structural-property quantification and material design. However, conventional methods have been predominantly data-based, thus ignoring physical constraints as well as multi-scale interactions involving fiber, matrix, interface, and process parameters, leading to lower accuracy and poor robustness and interpretability of the models. In this study, a Cat Swarm Optimization-Tuned Physics-Informed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Transforming School Library Services in Secondary Education: Status, Challenges, and Future Prospects
Abstract: The purpose of this study was to investigate the status, challenges, and opportunities of school libraryservices in Jalpaiguri District, West Bengal. A survey method was adopted to collect primary data from higher secondary schools located within Jalpaiguri Municipality. A structured questionnaire was administered to librarians or library in-charges of selected schools, and field visits were conducted to observe the existing library infrastructure and services. The study revealed that a significant …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 81–91 Read article
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Sustainability Challenges, Transition Dynamics, and Collapse of Small-Scale Poultry Farming Systems: Economic, Technical, and Environmental Perspectives
Abstract: Small-scale poultry farming plays a vital role in food security, income generation, and rural livelihoods globally. However, the sector is experiencing a rapid decline driven by interconnected economic, biological, environmental, and institutional challenges. This review synthesizes recent evidence and develops a systems-based framework to explain the depletion of small-scale poultry farms in the country. A dominant driver is the persistent cost–price imbalance, where rising input costs, particularly feed, are not …
Published in International Journal of Sustainability · Vol. 3, Issue 2, 2026 · pp. 38–46 Read article
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Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling
Abstract: This study proposes a novel Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling (PADT-NO) framework for predictive modelling of complex, nonlinear, and multiscale fluid flows. The proposed mathematical framework integrates fundamental conservation laws, Navier–Stokes dynamics, physics-constrained neural operators, adaptive reduced-order modelling, and uncertainty-aware state estimation within a unified computational architecture. Unlike conventional computational fluid dynamics and purely data-driven approaches, the proposed model dynamically couples high-fidelity physical information with a low-dimensional latent …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 89–103 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
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Machine Learning-Based Task Scheduling and Resource Optimization in Edge-IoT Systems
Abstract: The rapid expansion of Internet of Things (IoT) applications has introduced significant challenges in managing computational workloads across distributed edge environments. Edge- IoT systems are characterized by limited computational capacity, dynamic task arrivals, and strict latency constraints. Traditional heuristic-based scheduling techniques often fail to adapt to fluctuating workloads and heterogeneous resource availability. This study proposes a machine learning-based task scheduling and resource optimization framework for Edge-IoT systems. The proposed model …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article