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1805 articles for “technique”
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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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A Comparative Study to Assess the Effectiveness of Planned Teaching Programs Among the Knowledge Level of Rural and Urban Parents Regarding Parenting Style on Children’s Cognitive and Emotional Developments in the Selected Community Area of Kanpur
Abstract: A comparative study was conducted to assess the effectiveness of a Planned Teaching Program (PTP) on the knowledge of rural and urban parents regarding parenting styles and their influence on children’s cognitive and emotional development in selected community areas of Kanpur. A quantitative research approach with a pre-experimental one-group pre-test and post-test design was adopted. The study sample consisted of 60 parents, including 30 from urban and 30 from rural …
Published in International Journal of Pediatric Nursing · Vol. 12, Issue 1, 2026 · pp. 27–53 Read article
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A Descriptive Study of Leucorrhea and Its Etiological and Clinical Aspects
Abstract: Leucorrhea, commonly defined as excessive vaginal discharge, is a prevalent concern among women of reproductive age. It can be broadly classified as physiological or pathological. Physiological leucorrhea is usually linked to normal hormonal fluctuations during puberty, ovulation, pregnancy, or the menstrual cycle and is generally harmless. In contrast, pathological leucorrhea may indicate underlying conditions, such as bacterial, fungal, or parasitic infections, hormonal disturbances, poor genital hygiene, or, in rare cases, …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 15–20 Read article
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Revolutionizing Bone Grafting: A Survey of 3D Printed Solutions
Abstract: Due to the limits of conventional grafts, large bone deficiencies resulting from illness or trauma continue to be a significant clinical challenge. Autografts, while osteoconductive and osteoinductive, are limited by donor availability and morbidity, and allografts/xenografts carry risks of immune rejection and disease transmission. In contrast, 3D printing (additive manufacturing) enables fabrication of patient-specific bone scaffolds with controlled architecture, composition, and bioactivity. Using techniques, like selective laser sintering (SLS), stereolithography …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 2, 2026 · pp. 16–23 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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Evolution of Mobile Wireless Generations and the Architectural Foundations of AI-Integrated 6G Networks
Abstract: Wireless communication has moved through five complete technology generations in roughly four decades, and each transition has reshaped how societies exchange information, run businesses, and design cities. This paper is the first instalment of a two-part review and concentrates on the historical arc of that journey, tracing the defining traits, benefits, and shortcomings of 1G through 5G before turning to the architectural groundwork on which sixth-generation (6G) networks are being …
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 a Structured Teaching Programme on Knowledge Regarding Newborn Care Among Postnatal Mothers at Selected Hospitals in Rourkela, Sundargarh, Odisha
Abstract: The neonatal phase encompasses the initial four weeks of a baby's existence. A lot of complicated physiological changes happen, and the baby responds to all sorts of stimuli, during this time. Efficacious and continuous care is required at this time. "Newborn care includes determining if resuscitation is necessary, conducting a full medical examination, giving the baby immunisations and preventative drugs, making sure the baby gets enough to eat, gets enough …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 2, 2026 · pp. 26–33 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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Smart Voting System using Biometrics
Abstract: Election integrity and openness are essential components of democratic governance. Voter impersonation, duplicate voting, and the absence of real-time verification are common problems with traditional voting systems, including paper-based and electronic voting machines. This paper proposes a secure and efficient Biometric Voting System that leverages biometric authentication techniques, such as fingerprint or iris recognition, to ensure the uniqueness and authenticity of each voter. The system integrates a centralized database containing …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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INFLUENCE OF CONSTANT AND VARIABLE PASTERNAK FOUNDATIONS ON DAMPED SIMPLY SUPPORTED BERNOULLI-EULER BEAM UNDER MOVING LOADS
Abstract: This study presents an analytical investigation of the dynamic behavior of a simply supported uniform Bernoulli-Euler beam resting on both constant and variable Pasternak foundations subjected to concentrated moving load with damping. The governing equations of motion were formulated by incorporating the effects of foundation stiffness, shear interaction, damping, and load inertia. Analytical solutions were obtained for both moving-force and moving-mass problems. For the constant foundation case, the Generalized Finite …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 13–29 Read article
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Entropy-Based Damage Accumulation in Tribological Systems: A Comprehensive Review
Abstract: This paper reviews classical wear models and entropy-based degradation approaches used for predicting failure in tribological systems. Various wear models, thermodynamic frameworks, and applications of the Degradation Entropy Generation (DEG) theorem are discussed. Friction, which is the primary source of heat generation in tribological contacts, is responsible for material degradation through a variety of irreversible processes. While classical wear approaches have been widely used for wear prediction and life estimation, …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 1–12 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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Integrated Telecommunication Systems: Networking,Security, and Emerging Technologies inNext-Generation Communication Networks
Abstract: Integrated telecommunication systems play a crucial role in enabling reliable, high-speed, and scalablecommunication across modern digital infrastructures. This paper presents a comprehensive review ofintegrated telecommunication systems with a focus on networking architectures, security mechanisms,and emerging technologies in next-generation communication networks. It examines the fundamentalcomponents of communication systems, including transmission media, communication channels, andstandardized networking protocols, highlighting their contribution to efficient data exchange andsystem interoperability. The study explores both wired and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 36–45 Read article
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 22–26 Read article
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A Machine Learning Framework for Fake News Detection Using Embeddings and Dimensionality Reduction
Abstract: The broad sharing of information throughout human history was greatly accelerated by the emergence of the World Wide Web and the swift rise of social networking platforms such as Facebook and Twitter. Due to the extensive use of social media, users now generate and distribute vast amounts of content at an unprecedented rate, and a portion of this information is inaccurate or detached from factual reality. Automatically classifying a written …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 8–14 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
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The Effect of Stand-off Distance and Blast Yield OverStructure in Blast Test
Abstract: AbstractExplosive loads have garnered a lot of attention lately because of numerous unintentional and deliberateoccurrences that have affected important structures all over the world. As a result, there has been a lot ofresearch in this area over the last ten years. Although most of the early studies were empirical, morerecent studies have progressed into thorough and organized studies that focus on understanding thebehavior of structures subjected to blast loading conditions. …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 1, 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