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1474 articles for “experience”
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Advances in Reproductive Biotechnology: Innovations in Artificial Insemination and IVF Techniques
Abstract: Reproductive biotechnology has transformed infertility management and animal breeding, with artificial insemination (AI) and in vitro fertilization (IVF) playing pivotal roles. Historically, these technologies have evolved from experimental concepts to essential tools in reproductive medicine and agriculture. AI, introduced in the early 20th century, became instrumental in optimizing breeding programs by allowing selective fertilization without physical mating, thus improving genetic diversity and disease control in livestock. Meanwhile, IVF, developed in …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 2, 2024 · pp. 11–15 Read article
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Development of an ATmega328-Based Oscilloscope for Quick Field Measurements
Abstract: Abstract: This paper presents an ATmega328 microcontroller-based oscilloscope developed with the ATmega328 microcontroller, designed for efficient signal analysis in a compact format. Featuring a 128x64 OLED display, multiple input channels, and integrated ADC for accurate signal sampling, the oscilloscope allows users to measure frequency, amplitude, and period effectively. Oscilloscopes are crucial for troubleshooting, diagnostics, and system design because they enable researchers and engineers to examine the properties of electrical systems, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 2, 2024 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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The Impact of a Structured Teaching Program on Knowledge About Managing Specific Physical Issues Among Seniors in Selected Old Age Homes in Bangalore
Abstract: BACKGROUND OF THE STUDY: The geriatric populations are suffering from different types of non- communicable diseases, like osteoarthritis, osteoporosis, diabetes, visual and hearing impairment among which osteoarthritis and visual impairment is considered as most prevalent in old age people. Objectives: This study aimed to assess the current knowledge levels of elderly individuals concerning the management of specific physical issues, evaluate the effectiveness of a structured teaching program on this knowledge …
Published in International Journal of Geriatric Nursing · Vol. 7, Issue 2, 2024 Read article
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An Evaluation of the effectiveness of a structured teaching program on immunization among primi postnatal mothers in selected hospitals of bangalore
Abstract: Communicable diseases pose a significant health threat in India, contributing to high rates of death and disability among children under the age of five. Six of these diseases, often referred to as the "killer diseases," can be prevented through timely vaccinations starting from birth. In Indian households, mothers play a central role in managing health-related matters, and their awareness of these diseases and the importance of vaccination can be key …
Published in International Journal of Immunological Nursing · Vol. 10, Issue 2, 2024 · pp. 33–42 Read article
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A Case study on percutaneous mitraclip implantation in severe rheumatic mitral regurgitation
Abstract: Background: Mitra Clip therapy is a minimally invasive, safe, and clinically validated treatment for patients with mitral valve issues. Traditionally, anatomical exclusion criteria for the MitraClip procedure have ruled out cases involving rheumatic heart disease (RHD) affecting the mitral valve, primarily due to its association with mitral stenosis (MS). Case Summary: We present a case involving a 42-year-old male with cardiac and pulmonary sarcoidosis, who experienced recurrent heart failure due …
Published in International Journal of Cardiovascular Nursing · Vol. 10, Issue 2, 2024 · pp. 7–13 Read article
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A Study to evaluate the impact of nursing management strategies on physiological parameters in patients with hypertension at a selected hospital in erode.
Abstract: Background: Hypertension, commonly referred to as high or elevated blood pressure, is a condition characterized by consistently elevated pressure within the blood vessels. Blood flows from the heart through these vessels to all areas of the body. Objectives: To assess the level of physiological parameters among patients with hypertension before and after nursing management strategies. Design: Pre experimental–one group pre and post-test design Setting; Study was conducted at Nalan Hospital …
Published in International Journal of Cardiovascular Nursing · Vol. 10, Issue 2, 2024 · pp. 27–32 Read article
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The Effectiveness of balloon blowing exercise in 90/90 hemibridge position among patients with chronic obstructive pulmonary disease.
Abstract: A quasi-experimental pre-test post-test control group design was conducted to assess the impact of balloon blowing exercises on the respiratory status of 30 patients diagnosed with chronic obstructive pulmonary disease (COPD). Purposive sampling was utilized for participant selection. Various assessment tools including observation technique, Modified Borg’s Dyspnea scale, and Incentive spirometry were employed to measure respiratory rate, dyspnea level, and lung capacity respectively. The balloon blowing exercise, conducted using the …
Published in International Journal of Cardiovascular Nursing · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Assessment of Clinical and Investigative Profiles and Treatment Approaches in Newborns with Birth Asphyxia Admitted to Pravara Rural Hospital, Loni. [BK]
Abstract: Introduction: The inability to intake sufficient oxygen into the lungs increases the likelihood of hypoxia. Hypoxia is a condition in which there is an inadequate supply of oxygen reaching the body’s cells and tissues. Hypoxia can result in various serious and potentially life-threatening complications. But if you know what to look for, you can manage the condition before it leads to dangerous complications. You may have heard of both hypoxia …
Published in International Journal of Pediatric Nursing · Vol. 10, Issue 2, 2024 · pp. 24–30 Read article
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An Evaluation of Knowledge on Malnutrition in Children Under Five Among B.Sc. Nursing Students at Selected Nursing Colleges in Bangalore
Abstract: Malnutrition is a pressing global health issue, significantly impacting children's health and development. It contributes to millions of deaths and disabilities annually, with severe malnutrition leading to approximately 1 million child fatalities each year and affecting around 20 million children under five. In India, nearly two-thirds of children in this age group are malnourished, with 5-8% experiencing severe forms of malnutrition. This study aimed to assess the knowledge and attitudes …
Published in International Journal of Pediatric Nursing · Vol. 10, Issue 2, 2024 · pp. 9–16 Read article
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Automatic Vehicle Accident Detection and Reporting with a Blackbox
Abstract: The development and deployment of digital driving technology for a semi-autonomous vehicle is the main goal of this project. Enhancing the driver-vehicle interaction and adding black box functionality are the objectives. The system utilizes an Arduino-based data acquisition system, converting analog control data to digital format and displaying it on an LCD. Communication occurs via embedded networking using the CAN protocol, ensuring efficient data transfer. The system also collects feedback …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 2, 2024 · pp. 21–30 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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CNN-Based Traffic Sign Recognition with Voice Alerts
Abstract: Traffic sign recognition is a crucial component of intelligent transportation systems, significantly enhancing road safety by aiding both autonomous and human drivers. This paper presents a convolutional neural network-based traffic sign recognition system integrated with voice alerts. Our approach utilizes a deep learning model trained on a comprehensive dataset of traffic signs to accurately identify various road signs in realtime. Upon recognition, the system issues corresponding voice alerts to inform …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
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Ethereum Price Prediction Using Extra Trees and Random Forest Regressors
Abstract: The Ethereum market is famous for its unpredictability and the possibility of significant profits, presenting both opportunities and obstacles for investors and stakeholders. Given the dynamic nature of this ecosystem, accurate prediction of Ethereum’s price movements is essential for informed decision-making. In this project, we propose an innovative approach that leverages ensemble learning techniques, specifically extra trees and random forest regressors, for Ethereum price prediction. By harnessing a diverse dataset …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 9–25 Read article
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The Study of Magnetic Properties and Applications of II–VI Diluted Magnetic Semiconductor, Zn1–xMnxO Nanoparticles
Abstract: Ferromagnetism in II-VI diluted magnetic semiconductor, Zn1-xMnxO is studied. The magnetic behavior of this Diluted Magnetic Semiconductor (DMS) is determined by using the Heisenberg and the Green’s formalism. Heisenberg’s Model describes the Hamiltonian of the system in terms of spin density and excitons. In the same way, Green’s theorem is used for calculating magnetic quantities. These theorems are employed to estimate the origin of ferromagnetism in Zn1-xMnxO nanostructures. For spin- …
Published in International Journal of Applied Nanotechnology · Vol. 10, Issue 2, 2024 · pp. 47–55 Read article
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Design and Development of Semiconductor Nanocomposites for Photoelectrocatalytic Applications
Abstract: Humanity is currently facing an unprecedented challenge: anthropogenic climate change. This complex phenomenon is driven by a multitude of factors, including scientific, psychological, societal, and social dimensions, among others. the release of greenhouse gases, such as CO2, CH4, N2O, HFCs, and PFCs have increased significantly. Since the industrial revolution, atmospheric CO2 levels have surged by 50%. Although gases like CO2 and CH4 occur naturally and are essential for maintaining the …
Published in International Journal of Composite and Constituent Materials · Vol. 10, Issue 2, 2024 · pp. 25–32 Read article
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Advancing Early Detection of Menkes Disease Through Image Analysis and Biosensor Integration
Abstract: Menkes disease, a rare X-linked recessive disorder of copper metabolism, poses significant challenges in early diagnosis due to its nonspecific initial symptoms. This paper presents a comprehensive approach to enhance the early detection of Menkes disease by leveraging image processing techniques, pattern recognition algorithms, and innovative biosensor technologies. A novel framework is proposed that combines analysis of hair microscopy images, facial feature recognition, and copper-sensitive biosensors to create a multi-modal …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 24–34 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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Smart Codes E-learning Website
Abstract: This paper introduces a sponsored e-learning website that can be used to learn educational stubs like web development and technologies required for artificial intelligence. The aim of this research is to create a user-friendly e-learning website for the sponsor. This website is designed to be well structured and easy to navigate. As technology is increasing in the web development as well as in artificial intelligence, they show a platform to …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 15–21 Read article
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A Study to assess the effectiveness of structured teaching programme on knowledge regarding cataract, its prevention and post- operative self-care management among patients undergoing cataract surgery in tertiary care hospital, kuppam, A.P
Abstract: Background: Cataract, characterized by the loss of transparency in the lens, results in changes to refractive properties and heightened light scattering, leading to blurred vision or even blindness [1]. Globally, cataract stands as a primary cause of blindness [2, 3]. The occurrence of this condition increases with age, starting at 3.9% among individuals aged 55–64 and reaching 92.6% among those aged 80 and older [4]. In 2010, there were 10.8 …
Published in International Journal of Medical Surgical Nursing · Vol. 7, Issue 2, 2024 · pp. 6–12 Read article