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1805 articles for “technique”
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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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A Study on Knowledge of Heart Smart Diet Before and After Administration of Information Guide Sheet Among Hypertensive Clients in Selected Urban Area of Sangareddy District
Abstract: A heart-smart diet plan is a physician-recommended diet plan for hypertensive patients which includes high-fiber foods, lean proteins, low-fat and fat-free dairy products, and heart-healthy fats. It discourages the intake of saturated fat, sodium, and foods high in sugar. The present study was conducted on “a study on knowledge of heart-smart diet before and after administration of information guide sheet among hypertensive clients in selected urban areas.” Modified Pender’s health …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 6–26 Read article
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Agro Seed Oil Production through Mechanothermal Extraction: Exploring its Potential for Chemical, Pharmaceutical, and Food Industries
Abstract: The increasing demand for sustainable and environmentally friendly industrial raw materials has intensified research into the production of oils from agro seeds using efficient extraction technologies. This study reviews the mechanothermal extraction of agro-seed oils with emphasis on their potential applications in chemical, pharmaceutical, and food industries. Mango (Mangifera indica) seeds, which are commonly discarded as agricultural waste during fruit processing, contain significant quantities of lipids, proteins, carbohydrates, antioxidants, and …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 2, 2026 Read article
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A Study to Assess the Effectiveness of Structured Teaching Program on Knowledge Regarding Impact of Exercise in Patients After Cardiothoracic Surgery
Abstract: Cardiothoracic surgery is a major intervention often associated with prolonged recovery, reduced physical endurance, and potential postoperative complications. Exercise during the recovery period plays a pivotal role in improving cardiovascular function, enhancing pulmonary efficiency, maintaining muscle strength, and promoting overall quality of life. However, many patients lack adequate knowledge about the types, benefits, and safety precautions of exercises after cardiothoracic surgery, which may limit their participation in rehabilitation activities. This …
Published in International Journal of Medical Surgical Nursing · Vol. 9, Issue 1, 2026 · pp. 18–22 Read article
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A Pre-Experimental Study to Evaluate the Effectiveness of Kegel’s Exercise on Reducing Symptoms of Urinary Incontinence Among Women in Selected Villages at Namakkal District
Abstract: A pre-experimental one-group pre-test–post-test study was conducted to evaluate the effectiveness of Kegel exercises in reducing urinary incontinence among women aged above 35 years. A total of 30 women were selected from four villages in Namakkal district using a non-probability purposive sampling technique. Data were collected using a socio-demographic questionnaire and a standardized Urinary Incontinence Assessment Scale. Most participants (33%) belonged to the age groups of 40–50 and 50–60 years, …
Published in International Journal of Medical Surgical Nursing · Vol. 9, Issue 1, 2026 · pp. 1–11 Read article
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A Study to Assess the Effectiveness of Structured Teaching Program on Knowledge and Practice of Mandala Art Therapy Among Adolescent Girls in Selected High School at Kanpur
Abstract: Background: A study was conducted to evaluate the effectiveness of a structured teaching program on the knowledge and practice of Mandala Art Therapy among adolescent girls in high school. Objective: The objectives of the study were to assess the baseline pre-test levels of knowledge and practice regarding Mandala art therapy, to evaluate the post-test knowledge and practice levels after the intervention, to determine the effectiveness of the structured teaching program …
Published in International Journal of Neurological Nursing · Vol. 12, Issue 1, 2026 · pp. 19–37 Read article
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Effectiveness of an Educational Intervention in Improving Knowledge on the Prevention of Iron Deficiency Anaemia Among School Students
Abstract: Iron deficiency anaemia is recognized as one of the most prevalent nutritional health problems among school-going children and adolescents across the world. Factors, such as insufficient intake of iron-rich foods, unhealthy dietary habits, and inadequate awareness about preventive strategies, play a major role in increasing its occurrence. The current study was undertaken to evaluate the effectiveness of an educational intervention in improving knowledge regarding the prevention of iron deficiency anaemia …
Published in International Journal of Immunological Nursing · Vol. 12, Issue 1, 2026 · pp. 12–16 Read article
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A Study to Assess the Knowledge Regarding Road Traffic Rules Among Adolescents in Selected College at Bengaluru
Abstract: Introduction: Road Traffic Accidents (RTAs) are a significant public health concern, especially among adolescents, who are at higher risk due to lack of awareness and non-compliance with traffic rules. Proper knowledge of road traffic regulations is crucial in reducing accident rates and ensuring road safety. As the proverb goes, “Precaution is better than cure,” understanding and following road traffic rules can prevent accidents and save lives. This study aims to …
Published in International journal of Nursing Science Practice and Research · Vol. 12, Issue 1, 2026 · pp. 29–47 Read article
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A Study to Assess the Knowledge Regarding Alcoholism Among Auto Drivers in a Selected Area of Rewa City with a View to Develop Information Booklet
Abstract: Indian society is gradually transitioning from a traditionally conservative framework to a more open and liberal environment, leading to changing attitudes toward alcohol consumption, particularly among youth. Alcohol use is increasingly viewed as socially acceptable, despite its serious health and social consequences. Globally, harmful use of alcohol accounts for nearly 2.5 million deaths annually, including approximately 3,20,000 deaths among individuals aged 15–29 years due to alcohol-related causes. This growing concern …
Published in International journal of Nursing Science Practice and Research · Vol. 12, Issue 1, 2026 · pp. 19–28 Read article
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Evaluation of Kinetic Parameters of Total PetroleumHydrocarbon Degradation Using Grape Leaf as Nutrientto Catalyze the Reaction
Abstract: The outcomes of the research are to determine and evaluate the kinetic parameters of total petroleum hydrocarbon degradation using grape leaf as nutrient to catalyze the reaction. The application of the Michaelis–Menten model equation in combination with the Lineweaver–Burk Plot theoretical conceptual techniques was adopted in handling the computation of the functional parameters and coefficients of the system. The impact of bio-remediant dosage was monitored, and the kinetic parameters were …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 1–9 Read article
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Hybrid Organic–Inorganic Metal Halide Perovskite Solar Cells: A Comprehensive Review of Materials, Device Architectures, Stability, Hysteresis, and Commercialization Challenges
Abstract: Hybrid organic–inorganic metal halide perovskite solar cells (PSCs) have emerged as a major focus of photovoltaic research due to their remarkable increase in power conversion efficiency, reaching 28% within a short period. Perovskite materials exhibit several attractive properties, including long charge-carrier diffusion lengths, tunable band gaps, and excellent light absorption capability. In addition, their low-cost fabrication processes combined with high efficiency make PSCs strong competitors to conventional silicon-based solar cells. …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 · pp. 47–60 Read article
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Assessment of M30 Concrete Compressive Strength Using Digital Rebound Hammer and Destructive Testing
Abstract: Abstract The assessment of in-situ concrete strength using non-destructive testing (NDT) techniques hasbecome increasingly important for quality assurance, structural evaluation, and conditionassessment of concrete infrastructure. Among the available NDT methods, the digital reboundhammer offers a rapid, economical, and non-destructive means of estimating concretecompressive strength. This study experimentally investigates the correlation between reboundnumbers obtained from a digital rebound hammer and the compressive strength of M30 gradeconcrete determined using a Compression Testing …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 2, 2026 Read article
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A Chemical Thorn in the Heart of Flowers: An Investigation into Chemical Preservation of Commercial Flowers and Its Health Implications
Abstract: The increasing demand for fresh flowers during festive occasions, religious ceremonies, and wedding seasons has led to the widespread use of chemical preservation techniques throughout the floral supply chain. Flowers – such as jasmine, rose, chrysanthemum, and marigold – are traditionally valued for their natural fragrance, freshness, and aesthetic appeal. However, to meet market demands and extend their commercial value, various chemical agents are increasingly applied to delay senescence and …
Published in International Journal of Green Chemistry · Vol. 12, Issue 2, 2026 · pp. 1–18 Read article
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Integrating Machine Learning with Edge Computing for Real Time Data Analytics
Abstract: Smart devices such as mobile phones, sensors, cameras, etc., are producing a huge amount of data every second. This data is normally sent to cloud servers for processing. This approach is normally slow and expensive, and it also raises a lot of privacy issues as data is sent over the internet, which takes a lot of time to return with results. This study aims to address the issue through the …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 2, 2026 Read article
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Machine Learning-Based Channel Estimation for 5G NR Systems: A Comprehensive Review of TDL/CDL Channel Models and CNN Architectures
Abstract: Accurate channel estimation is a fundamental requirement for reliable communications in fifth-generation New Radio (5G NR) systems, where highly dynamic propagation environments impose severe challenges on conventional pilot-based methods. This study provides a thorough analysis of channel estimate methods for 5G NR, including everything from contemporary deep learning (DL) techniques based on Convolutional Neural Networks (CNNs) to traditional Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators. Our analysis …
Published in International Journal of Telecommunications & Emerging Technologies · 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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Synthesis and Characterization of Polymer-Based Organic–Inorganic Hybrid Materials viaSol–Gel Processing: A Review of Gelatin–Silica, Gelatin–Silica–Titania and HPMA-Based Systems
Abstract: Organic–inorganic hybrid materials have emerged as a versatile class of advanced materials that integrate the flexibility and functionality of organic polymers with the thermal, mechanical, and chemical stability of inorganic networks. Among the available fabrication routes, the sol–gel process has gained considerable attention because of its simplicity, low processing temperature, compositional flexibility, and ability to tailor material properties at the molecular level. The present review discusses the synthesis and characterization …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 2, 2026 Read article
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Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis
Abstract: Power systems today have to deal with more and more power quality issues (PQDs) like voltage drops, rises, harmonics, and transients because more people are using renewable energy sources and electronic devices. These problems can hurt equipment, stop services, and lower the overall reliability of power. In real-time settings, traditional detection methods often don't work as quickly or accurately as they should. This paper looks at how deep learning models, …
Published in International Journal of Power Electronics Controllers and Converters · 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