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1604 articles for “analysis”
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Prenatal Exposure and ADHD: Assessing the Impact of Maternal Stress, Nutrition, and Substance Use
Abstract: Background: The widespread neurodevelopmental disease known as attention-deficit/hyperactivity disorder (ADHD) has a variety of etiologies. Preventative strategies and early interventions for ADHD require an understanding of the prenatal variables that contribute to the disorder. Aim/Objective: The purpose of this review is to assess how pregnancy-related stress, malnutrition, and substance use by mothers may affect the development of ADHD in their offspring. Methods: The Indian Journal of Clinical Psychology, Web of …
Published in International Journal of Neurological Nursing · Vol. 10, Issue 2, 2024 · pp. 1–8 Read article
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Effect of Segmentation of White matter, grey matter and CSF in the prediction of Neurological disorders
Abstract: The segmentation of white matter, grey matter, and cerebrospinal fluid (CSF) plays a crucial role in predicting and diagnosing neuro disorders. This study investigates the impact of precise segmentation techniques on identifying biomarkers and structural changes associated with various neurological conditions, including Alzheimer's disease, multiple sclerosis, and schizophrenia. By leveraging advanced imaging technologies and machine learning algorithms, we aim to enhance the accuracy of neuro disorder predictions through detailed analysis …
Published in International Journal of Neurological Nursing · Vol. 10, Issue 2, 2024 · pp. 9–14 Read article
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Assess the preference towards mode of delivery and its associating factors with a view to arrange nurses led intervention among antenatal mothers attending GOPD, A Hospital based descriptive study
Abstract: Background: Delivery mechanism is a spontaneous process with implemented advances in medical technology now has drastically reduced maternal and infant mortality. For a healthy women population, the choice between spontaneous vaginal delivery caesarean section. Vaginal delivery can be spontaneous i.e. unassisted or assisted and caesarian section is most commonly performed major obstetric throughout the world. Objective: To assess the preference towards mode of delivery among antenatal mothers in GOPD, PGIMS …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
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Impact of mindfulness meditation on the emotional well-being of postmenopausal women living in a specific old age home in Bangalore
Abstract: BACKGROUND: The onset of menopause often brings about various symptoms like vasomotor issues, psychological challenges including depression, anxiety, stress, and sexual dysfunction, all of which can significantly impact a woman's quality of life. Due to the perceived therapeutic advantages, there's a growing trend in utilizing mind-body therapies for alleviating menopausal and postmenopausal symptoms. Mindfulness meditation, for instance, enables participants to focus on the present moment, disregarding past or future implications. …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 10, Issue 2, 2024 · pp. 37–53 Read article
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Assess The Knowledge Regarding Reproductive Health Among First Semester BSc Nursing Students in Selected College, Vaniyamkulam
Abstract: Late adolescence is considered as a period of transition from childhood to adulthood. This period of life between ages of 17 to 24 years. This phase holds significant importance as it marks the formative years of an individual's life, during which major physical, psychological, and behavioral transformations occur. It is a critical and impressionable period, laying the foundation for assuming greater responsibilities, including embracing healthy and responsible parenthood in the …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 10, Issue 2, 2024 Read article
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Comparison of predictive ability of stroke-associated pneumonia risk scores in acute hemorrhagic stroke
Abstract: Objective: To determine the best scoring system among 5 scores (Pneumonia score, PANTHERIS, ISAN score, A2DS2, ACDD4) for prediction of pneumonia after acute haemorrhagic stroke in Stroke Centre. Subjects and Methods: We carried out retrospective study of 508 patients with acute haemorrhagic stroke admitted to Department of Neurology of Pyongyang medical university from January 1, 2018 to August 1, 2022. Demographic and clinical traits of patients were collected and analysed. …
Published in International Journal of Nursing Critical Care · Vol. 10, Issue 2, 2024 · pp. 12–19 Read article
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A Descriptive study to assess the psychological impact and coping strategies of frontline nurses during the outbreak of Novel Corona virus disease 2019(Covid-19) at Covid-19 dedicated hospitals of New Delhi.
Abstract: Introduction: The pandemic has impacted not just physical health but also mental health and overall well-being. The psychological and emotional impact of Covid-19 is especially significant for healthcare workers, including nurses, due to their heightened exposure to the virus. This study was conducted to assess the psychological impact and coping strategies of frontline nurses involved in the care of covid-19 confirmed and suspected cases admitted in selected hospitals of Delhi …
Published in International Journal of Immunological Nursing · Vol. 10, Issue 2, 2024 · pp. 8–18 Read article
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Health Monitoring System for Fault Identification on Centrifugal Pump Using ML
Abstract: Centrifugal pumps are crucial equipment widely used in various industries, and their reliable operation is essential for maintaining production and preventing costly downtimes. This paper proposes a comprehensive health monitoring system for centrifugal pumps that combines model-driven and data- driven approaches, leveraging artificial intelligence (AI) and machine learning (ML) techniques. The system incorporates demand prediction using artificial neural networks and fault diagnosis employing different ML classifiers, such as decision trees …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
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Advances in Gender Classification from Facial Images Using CNNs: A Comprehensive Review
Abstract: Predicting age and gender from facial images is important for various uses, like social interactions, security, and customizing user experiences. Despite progress in facial recognition technology, getting accurate and reliable predictions is still a challenge. This paper reviews recent advancements in Convolutional Neural Networks (CNNs) for age and gender classification, comparing their effectiveness to traditional methods. CNNs excel in extracting features from images and have shown notable improvements in accuracy …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Enhancing Image Quality with Deep Learning Techniques for Restoration and Denoising
Abstract: Abstract: Clear and high-quality images have become more and more necessary in recent years due to the rapid development of computer vision-based autonomous systems, including autonomous driving, underwater robots, video surveillance, and medical imaging. However, real-world circumstances, such as inclement weather, underwater scenes, and moving cameras, can lead to poorer-quality photographs. These degradations, which include color distortions, noise, and blurring, hurt how well visual systems accomplish tasks like target tracking, …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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A Comparative Study of Load Balancing Algorithms: Static Approaches vs. Real-time Adaptation
Abstract: Pay-per-use cloud computing offers scalable IT resources over the internet, making it a major paradigm in distributed computing. Because of its adaptability, it has been quickly adopted by various industries, which has accelerated the growth of data centers. In cloud computing, load balancing is essential for improving system performance, cutting down on execution times, and making the best use of available resources. This study investigates the effects of several load-balancing …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Fungal-Mediated Synthesis of Silver Nanoparticles Using Fusarium Oxysporum and Their Antimicrobial Evaluation
Abstract: Nanotechnology has shown significant antimicrobial properties in the form of metal nanoparticles like silver, copper, and zinc. Silver nanoparticles (AgNPs) are biosynthesized from the fungus Fusarium oxysporum, isolated from infected ginger, which has antibacterial and antifungal properties. The synthesized AgNPs are reddish brown and have a maximum absorbance of 451 nm. The functional groups of AgNPs are investigated using FTIR analysis. SEM-EDX Shows Shape of Particle Spherical-Rod, Size from 6.13 …
Published in International Journal of Applied Nanotechnology · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article
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An Investigation of Properties Nanoparticles Reinforced Thermoplastic Nanocomposites
Abstract: Nanoparticles and nanocomposites find widespread uses in a variety of fields, such as building materials, architecture, optics, food packaging, optoelectronics, semiconductors, medicine, textiles, cosmetics, and catalysis. Compared to their microparticle cousins, polymeric nanocomposites-a unique family of materials-perform better because they blend organic polymers with inorganic nanoparticles. As a result, they ought to improve the domain of engineering applications. Inorganic nanoparticles can significantly alter the properties of a polymer matrix. Flexible …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 10, Issue 2, 2024 · pp. 54–64 Read article
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Face and Speech Emotion Recognition
Abstract: The study “faces and speech recognition” underscores the critical role of speech emotion recognition (SER) and its diverse applications across various fields, such as medicine, human-computer interaction, and customer service. SER has gained significant importance in cognitive psychology due to its potential to enhance user experience, improve patient care, and optimize the interaction between users and products. The process involves the identification and extraction of essential features from speech signals, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 35–43 Read article
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Denoise Mechanism for Digital Images
Abstract: With the rapid advancement of today’s information technology, the analysis of digital images has endured rapid evolution in technology and is frequently utilized in everyday situations and enterprises. There are specific problems in the transmission process. Images are influenced by the compression of data and communication. In color image processing, a variety of well-established approaches to suppressing noise are offered. The variety of noise corrupting the image determines the nature …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 11–17 Read article
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Microservices vs. Monoliths: Choosing the Right Architecture for Your Project
Abstract: This comprehensive paper examines the critical differences between microservices and monolithic architectures, providing an in-depth comparison to guide software architects and developers in selecting the most appropriate approach for their projects. We conduct a thorough analysis of the strengths and weaknesses inherent in each architectural style, taking into account crucial factors such as scalability, maintainability, deployment complexity, and the structure of development teams. Through detailed case studies, performance metrics, and …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 31–38 Read article
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Forecasting Trends in the Stock Market by Using Deep Learning Approaches
Abstract: Accurately predicting stock market trends remains a significant challenge in the field of finance. Deep learning, a subset of machine learning, has emerged as a powerful tool for capturing complex relationships within data. What sets deep learning apart is its ability to handle vast amounts of data, recognize intricate features, and adapt to evolving patterns, all while uncovering hidden insights. At its core, deep learning uses artificial neural networks that …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 22–30 Read article
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Resource Allocation Optimization in Cloud Services: Evaluating Task Scheduling and VM Placement Techniques
Abstract: Cloud computing has emerged as a promising computing paradigm to provide scalable quality of service, enabled services that are delivered over the internet. The infrastructure as a service model depends heavily on virtualization, which is the vital concept for centralized resource allocation in cloud computing. Resource allocation in cloud computing is basically performed through with the help of task scheduling as well virtual machine placement. Cloud service provider selects correct …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 6–14 Read article
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A Study to Assess the Knowledge Regarding Mother and Child Protection Card Among Antenatal Mothers Visiting Antenatal OPD at Tertiary Care Teaching Hospital, Kuppam, AP
Abstract: Background and Aims: Mother and child protection card is a maternal and child health indicator and tracking system, the main aim of the study is assessing the knowledge regarding mother and child protection card among antenatal mothers admitted at Tertiary care hospital. Material and Methods: Quantitative research design was used and selected 90 antenatal mothers who met with the inclusion criteria, received structured questionnaire on MCP card for 45 minutes. …
Published in International Journal of Pediatric Nursing · Vol. 10, Issue 2, 2024 · pp. 1–8 Read article
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To Assess the Effectiveness of Hoffman’s Exercise Among Postnatal Mothers with Nipple Defect Admitted at Tertiary Care Hospital, Kuppam, Andhra Pradesh
Abstract: Background and aims: Hoffman’s exercise care is the innovative method of taking care of inverted nipple and its management, the main aim of the study is assess the Effectiveness of Hoffman’s exercise among Postnatal Mothers admitted at Tertiary care hospital. Material and Methods: Quantitative research design was used on selected 30 postnatal mothers who met with the inclusion criteria and Hoffman’s exercise is demonstrated. Results: Showed the analysis of posttest …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 10, Issue 2, 2024 · pp. 54–61 Read article