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2000 articles for “methods” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Effect of early initiation of breast feeding on duration of third stage of labour and amount of blood loss among parturient mothers
Abstract: Background and objectives: Breast feeding not only helps the baby to become healthy, it is beneficial to the mother also, putting baby to the breast straight after the birth helps the womb to contract and speeds delivery of the placenta will be faster. The aim of the study is to assess the effect of early initiation of breast feeding on duration of third stage of labour and amount of blood …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 3, Issue 2, 2017 · pp. 30–37 Read article
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Effectiveness of Video-assisted Instruction on Awareness and Attitude regarding Emergency Contraceptives among the Eligible Couples Residing at Loni (Bk)
Abstract: Background: Despite the availability of highly effective method of contraception, many pregnancies are unplanned and unwanted. Such pregnancies can result in abortion and carry an excess risk of morbidity and mortality. The risk of pregnancy with one unprotected act of sexual intercourse can be as high as one in three, depending on the cycle of exposure in relation to ovulation. For the women exposed to unprotected sexual intercourse, e.g. Lack …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 6, Issue 2, 2020 · pp. 46–54 Read article
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Sequential Extraction of Pectin and Cellulose from Orange Peel Waste: A Sustainable Waste-to-Valorization Approach
Abstract: Agricultural waste is a huge and underutilized resource of useful biomaterials that are best for sustainable use. The goal of the present study was to develop an integrated waste valorization approach, in which orange peel waste is valorized in the form of cellulose and pectin and their potential is assessed in combination with green synthesis of nanoparticles. Orange peel powder was treated with acid-assisted extraction to obtain pectin, and the …
Published in International Journal of Green Chemistry · Vol. 12, Issue 2, 2026 · pp. 19–29 Read article
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Eco-Friendly Starch-Iron-Oxide Nanoblends from Fruit Peel Waste – A Green Waste Valorization Approach
Abstract: Utilization of agricultural wastes for production of useful biomaterials has attracted a lot of interest due to their environmental and economic benefits. In the present study, green banana peels were used as bio sustainable raw materials from which starch was extracted, and pomegranate peels were used as an ecofriendly raw material for the green synthesis of iron oxide nanoparticles. The green banana peels were also found to be a potential …
Published in International Journal of Green Chemistry · Vol. 12, Issue 2, 2026 · pp. 29–39 Read article
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From Waste to Walls: A Comparative Study of Recycled Buildings in India
Abstract: As the construction sector across the world is compelled to rein in its environmental impact – currently, estimated at nearly 40% of global carbon emissions – the use of recycled materials is no longer a secondary aesthetic option but a structural imperative. This paper presents a comparative study of pioneering Indian architectural projects that assess the effectiveness of diverted waste streams in contemporary construction. Three iconic projects to be discussed …
Published in International Journal of Sustainable Building Technology · Vol. 9, 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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Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 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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A Descriptive Study on Current Trends in the Diagnosis and Management of Diabetic Foot
Abstract: Diabetic foot is a major and frequently occurring complication of diabetes mellitus, significantly contributing to patient morbidity, increased hospital admissions, and a higher risk of lower limb amputations. Timely identification and proper management are crucial to halt disease progression and enhance patient outcomes. This descriptive study focuses on examining current practices and advancements in the diagnosis and management of diabetic foot within clinical settings. The study highlights modern methods used …
Published in International Journal of Medical Surgical Nursing · Vol. 9, Issue 1, 2026 · pp. 23–33 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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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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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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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 Descriptive Study to Assess the Knowledge, Attitude, and Practice (KAPap) Regarding Colostrum Feeding Among Postnatal Mothers in Tertiary Care Rural Hospital
Abstract: Background: Colostrum, the initial milk secreted following delivery, is packed with antibodies and vital nutrients. Despite its benefits, cultural myths and lack of awareness often lead to its avoidance. Objectives: To assess knowledge, attitude, and practice (KAP) of postnatal mothers regarding colostrum feeding, to examine correlations among them, and to explore associations with demographic variables. Methods: A quantitative descriptive study was carried out with 225 postnatal mothers at a rural …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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The Economical Managements Model of Corrosion Protection of Materials
Abstract: Corrosion affects many sectors, including industries, railways, transportation systems, marine environments, construction, housing components, engineering tools, metallic structures, and even biomedical implants. Due to corrosion, major financial losses occur in these fields. Corrosion takes place because of changes in the internal morphology of materials, or the attack of corrosive substances present in the environment. These unfavorable physical, chemical, and biochemical reactions lead to various forms of corrosion such as galvanic …
Published in International Journal of Metallurgy and Alloys · Vol. 12, Issue 2, 2026 · pp. 1–11 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 Read article
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A Review on Hybrid Honeycomb Engine Mounts for Vibration Isolation in Variable Compression Ratio Engines
Abstract: The increasing sophistication of modern engine systems has highlighted the importance of advanced vibration control methods. Engines today are required to function under continuously changing operating conditions, particularly in Variable Compression Ratio (VCR) systems, where vibration behavior becomes highly complex, non-linear, and dependent on time. Under such circumstances, conventional engine mounts often struggle to deliver stable and consistent performance. In contrast, hybrid honeycomb structures offer significant advantages due to their …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 29–34 Read article