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440 articles for “methodology”
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Preservation to Continuity:Reconsidering Heritage Management Paradigms
Abstract: Conventional heritage management frameworks largely treat heritage as a finite collection of monuments and protected sites, prioritizing material conservation over cultural continuity. In rapidly transforming socio-urban contexts, such approaches often fail to address the dynamic relationships between heritage, lived cultural practices, and collective memory. The primary objective of this study is to develop a holistic heritage management framework that integrates tangible and intangible heritage through participatory governance and adaptive policy …
Published in International Journal of Landscape Planning and Architecture · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Effectiveness of Structured Teaching Program (STP) on Knowledge Regarding Early Rehab After Mastectomy Among Clinical Nurses Working in SC TeachingHospital of Hassan, Karnataka
Abstract: Background: Cancer is a silent critical killer among human community but cancer of breast which alters the quality of life of women is affecting all women throughout the world. By knowing the clinical nurse’s knowledge regarding early rehabilitation after mastectomy, it is understood that there are gaps in caring for patients with mastectomy and taking appropriate action to reduce its ill effects. Methods: A quantitative, quasi-experimental research design was employed. …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 2, 2025 Read article
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Effectiveness of Structured-Teaching Program on Knowledge, Attitude, and Practice on Oral Hygiene Among School-Going Children Aged Between 10–13 Years Old at Selected School,Kuppam, Andhra Pradesh
Abstract: Background: Dental health is crucial to school health because untreated dental decay can hinder kids’ development and learning, exacerbate behavioral issues, and lower their self-esteem. Oral hygiene refers to the maintenance of cleanliness of the teeth and mouth to prevent dental problems such as dental caries, gingivitis, and bad breath. Effective oral hygiene focuses on controlling and preventing the buildup of dental plaque. This study was conducted to assess the …
Published in International journal of Nursing Science Practice and Research · Vol. 12, Issue 1, 2026 · pp. 12–18 Read article
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Sonochemical Synthesis of Copper Nanoparticles:Process Fundamentals, Scale-Up Challenges, andIndustrial Opportunities
Abstract: The sonochemical synthesis of copper nanoparticles (Cu NPs) has emerged as a powerful and widely investigated strategy in nanomaterials research, owing to the unique physicochemical conditions generated during ultrasonic irradiation. Acoustic cavitation induced by sonication produces transient microenvironments characterized by extremely high local temperatures, pressures, and rapid cooling rates, which collectively enable efficient reduction of copper precursors into nanoscale particles. These conditions cannot be easily achieved through conventional synthetic routes, …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 37–43 Read article
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Performance Evaluation and Structural Integrity Assessment of Critical Components in a Glass Vacuum Lifter Using Static-Structural and Modal Analysis
Abstract: Glass handling operations in construction, manufacturing, and industrial sectors require reliable lifting systems to ensure safe transportation while minimizing the risk of damage and improving operator safety. Vacuum lifters have emerged as an effective solution for handling large and fragile glass panels by generating secure holding forces through suction pads. The structural integrity and dynamic performance of critical components, particularly the suction pad and lifter arm, play a vital role …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 2, 2026 · pp. 1–17 Read article
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Deep Learning Techniques for Optimizing Resource Allocation and Sustainability in the Next Generation of 6G Wireless Networks
Abstract: The upcoming sixth generation (6G) of wireless communication networks aims to meet challenging requirements such as ultra-reliable low-latency services, massive connectivity for billions of smart devices, and intelligent automation across highly diverse environments. Along with these goals, the issues of energy efficiency and environmental sustainability are becoming equally important, as the rising number of users and traffic volumes will directly increase power demand and carbon emissions. To lower total energy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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Enhancing Weak Grid Stability Using Grid-Forming BESS in Renewable-Dominated Power Systems
Abstract: The growing share of renewable energy sources in the energy mix, particularly photovoltaic (PV) installations, has resulted in the reduced grid inertia and system strength, thus presenting new challenges in terms of voltage and frequency stability in weak grid situations. Conventional grid-following (GFL) inverters rely on synchronizing with the grid and performing relatively poorly under specific situations such as disturbances, voltage sags, or islanding. It has been the aim of …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Exploration of Explainable Artificial Intelligence (XAI) Techniques to Enhance Model Interpretability
Abstract: Explainable Artificial Intelligence (XAI) has become a major research field because of the rising application of complex machine learning and deep learning models in actual decision-making systems. Although such models are accurate, they are in many cases black boxes and therefore the users do not have much understanding of the way the decisions are generated. This absence of transparency brings up some serious concerns connected with trust, accountability, fairness, and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Speech Emotion Recognition using Multi- Kernel CNN for Features extraction and Random Forest Classifier
Abstract: Identifying human emotional states from speech signals is the main goal of Speech Emotion Recognition (SER), which has grown to be a significant area of study in affective computing. However, class imbalance and efficient feature extraction from speech data pose problems for many of the current methods. This study suggests a hybrid framework that combines a Random Forest (RF) classifier with a multi-kernel Convolutional Neural Network (CNN) to address these …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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A study to assess the effectiveness of structured teaching program regarding knowledge About the non-pharmacological management of Hypertension among nursing Students at selected Nursing College, Bangalore
Abstract: Hypertension is also known as high blood pressure. Hypertension is called when the pressure on blood vessels is too high. The only way to know is to get the blood pressure checked regularly. The main aim of the study is to identify the effectiveness of non-pharmacological management of hypertension among nursing students. Methodology: An evaluative approach was used to evaluate effectiveness of Structured Teaching Programmed of B.sc nursing students. Pre …
Published in International journal of Nursing Science Practice and Research · Vol. 12, Issue 1, 2026 · pp. 19–25 Read article
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A Quasi-Experimental Study to Assess the Effectiveness of Self-Instructional Module on Knowledge Regarding Vitamin A Deficiency and Its Prophylaxis Among Mothers of Under-Five Children in the Community Area at Sri Goindwal Sahib, Tarn-Taran, Punjab
Abstract: Background of the study: Vitamin A deficiency is inadequate intake of vitamin A or its inadequate absorption in the body. It’s most prevalent in age group of 0–5 years. Aim: The present study aims to assess the effectiveness of Self-Instructional Module on the knowledge and attitude regarding vitamin A deficiency and its prophylaxis among mothers of Under-Five Children in the community area at Sri Goindwal Sahib, Tarn-Taran, Punjab. Methodology: A …
Published in International Journal of Pediatric Nursing · Vol. 12, Issue 1, 2026 · pp. 54–60 Read article
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Heritage-Sensitive Redevelopment of Bhuleshwar,Mumbai: A Sustainable Urban Development Approach
Abstract: Bhuleshwar, one of the oldest commercial precincts in South Mumbai, represents a unique urban landscape where traditional markets, religious institutions, historic architecture, and craft-based economies coexist within a dense mixed-use environment. Renowned for its imitation jewellery trade, flower markets, textile shops, and temple precincts, the area serves as an important cultural and economic hub. However, rapid urbanization, aging infrastructure, overcrowding, traffic congestion, deteriorating building conditions, inadequate sanitation, and redevelopment pressures …
Published in International Journal of Architectural Heritage · Vol. 9, Issue 2, 2026 Read article
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Integrating 3D Printing Technology in Sustainable Interior Design forEnhanced Human Comfort and Environmental Stewardship
Abstract: As people spend nearly 70% of their time indoors, the quality of interior environments has a significant impact on human comfort, health, and overall well-being. Many indoor spaces are negatively affected by pollutants and toxins originating from construction materials, furnishings, surface finishes, and inadequate ventilation, often contributing to issues such as Sick Building Syndrome (SBS). Enhancing indoor environmental quality (IEQ) has therefore become a critical concern within sustainable design. This …
Published in International Journal of Sustainable Building Technology · Vol. 9, Issue 2, 2026 · pp. 13–18 Read article
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Securing Smart Electrical Systems through Comparative Analysis of Machine Learning Models for Classification
Abstract: In the realm of cybersecurity, the intersection of technology and security measures has spurred significant advancements, particularly in safeguarding electrical systems against cyber threats. This research delves into the evolving landscape of cybersecurity within electrical systems, leveraging machine learning techniques to mitigate challenges. By incorporating cybersecurity protocols with machine learning algorithms, this study demonstrates enhanced security measures tailored for electrical infrastructures, pivotal in ensuring efficiency and resilience. Through meticulous examination, …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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An Integrated Machine Learning and IoT-Based Framework for Predictive Urban Water Demand Management and Distribution Optimization
Abstract: Abstract Urban water resource management has become increasingly complex due to rapid urbanization, population growth, climate variability, and aging infrastructure. Conventional water management approaches are often reactive, inefficient, and incapable of handling real-time fluctuations in demand and supply. This study proposes an integrated framework that combines machine learning (ML) techniques with Internet of Things (IoT)-based real-time monitoring to enhance water demand prediction and optimize distribution systems in urban environments. The …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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An Extensive Analysis of QC's Difficulties & Restrictions
Abstract: QC constitutes a fundamental shift in computational paradigms by exploiting quantum mechanical phenomena namely superposition, entanglement, and interference to achieve computational advantages over classical systems for specific problem domains. Despite significant theoretical progress, the realization of large-scale, fault-tolerant quantum computers remains impeded by a range of intrinsic and technological constraints. This paper offers a thorough & critical analysis of the principal challenges associated with QC, with a focus on de- …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 2, 2026 Read article
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Virgin-Recycled Thermoplastic Matrix Systems as Engineered Composite Materials: A Compositional Framework for Mechanical Property Retention in Secondary Polymer Supply Chains
Abstract: Virgin-to-recycled thermoplastic resin blends, while conventionally treated as simple two- component mixtures in secondary polymer supply chains, exhibit compositional and morphological characteristics that are more accurately described using the framework of engineered composite matrix systems. This paper presents a compositional framework for understanding and predicting mechanical property retention in virgin-recycled polypropylene (PP) and high-density polyethylene (HDPE) matrix systems, developed through more than twenty years of commercial secondary polymer distribution practice …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 2, 2026 Read article
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Density-Based Separation and Polymer Type Verification of Mixed Post-ConsumerThermoplastic Streams: A Sequential Separation and Contamination Reduction Protocol for Secondary Polymer Supply Chains
Abstract: The separation of mixed post-consumer thermoplastic waste streams into polymer-type-specific fractions suitable for industrial reintegration is a fundamental chemical separation challenge in secondary polymer supply chains. Density-based separation, exploiting the characteristic density ranges of common thermoplastic polymers, remains the dominant first-stage separation technique in commercial recycling operations due to its low cost, scalability, and applicability across mixed waste stream compositions. This paper presents a sequential separation and contamination reduction protocol …
Published in International Journal of Chemical Separation Technology · Vol. 12, Issue 2, 2026 Read article