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256 articles for “app-based interventions”
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Examining the Impact of a Nurse Navigator Program on Anxiety, Psychological Well-being, and Quality of Life in Breast Cancer Patients at a Tertiary Care Hospital in Haryana: A Randomized Controlled Trial
Abstract: Background of study: Breast cancer stands as the leading cancer type affecting women and remains a significant contributor to female mortality. It is a complex ailment influenced by multiple factors. Globally, in 2020, approximately 2.3 million women received diagnoses of breast cancer, resulting in 685,000 fatalities. This condition can profoundly impact various aspects of a person's existence, encompassing physical, psychological, emotional, social, and familial spheres. A notable observation is the …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 31–39 Read article
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Smart Energy Meter Using IOT
Abstract: Due to the increasing development of the human population and their reliance on electricity, the demand for power has increased, leading to a shortage of electricity at peak hours. Resolving the energy issues requires updating the electrical infrastructure. Energy distribution and consumption scenarios can be addressed by the application of Internet of Things (IoT) technologies. Power optimization, power card facilities, automatic billing, and providing users with relevant energy consumption data …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 2, 2023 · pp. 16–21 Read article
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Vision Sense Rover
Abstract: This paper presents the design and implementation of an autonomous obstacle-avoiding robotic system utilizing an Arduino Uno microcontroller, an ultrasonic distance measurement module, a servo-based scanning mechanism, an L298N motor driver module, and an ESP32-CAM for real-time visual monitoring. The proposed system is developed to operate without human intervention, using sensor- driven decision making for navigation. The ultrasonic sensor continuously measures the distance to adjacent obstacles, while the servo motor …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 38–43 Read article
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Artificial Intelligence in Early Diagnosis and Personalized Treatment of Alzheimer’s Disease
Abstract: Artificial intelligence (AI) has become a disruptive technology in the medical care industry, with potential solutions to early diagnosis and customized treatment of Alzheimer’s disease (AD), a progressive neurodegenerative disease and the most prevalent cause of dementia globally. Conventional diagnostic techniques, such as cognitive, neuroimaging and biomarker techniques, are usually limited in the ability to detect disease at its most susceptible stage when treatment interventions are most effective. The recent …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 15–27 Read article
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Cannabinoids as Nutritional Supplements: Exploring The Potential Health Benefits and Regulatory Landscape
Abstract: Cannabinoids, the bioactive compounds derived from the Cannabis sativa plant, have garnered increasing interest for their potential role as nutritional supplements. This abstract provides a succinct overview of cannabinoids as nutritional supplements. This review delves into the multifaceted aspects of cannabinoids, particularly their interaction with the endocannabinoid system (ECS) and their potential health benefits. The exploration begins by elucidating the intricate relationship between cannabinoids and the ECS, a vital regulatory …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 1, 2024 · pp. 48–53 Read article
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A Study on Smart Healthcare Innovations
Abstract: The desire for effective, patient-centred solutions and the rapid growth of technology are driving forces in the healthcare industry. The term "smart healthcare innovation" refers to a broad category of approaches, tools, and procedures that are intended to improve patient outcomes, optimize resource use, and enhance overall healthcare delivery. These innovations integrate cutting-edge technologies such as artificial intelligence (AI), the Internet of Things (IoT), wearable devices, big data analytics, and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 63–68 Read article
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IoT-Enabled Remote Patient Monitoring System Using Wearable Sensors
Abstract: In recent years, the Internet of Things (IoT) has revolutionized healthcare by enabling seamless connectivity between patients, medical devices, and healthcare professionals. The increasing demand for continuous health monitoring and early disease detection has driven the development of IoT-based remote patient monitoring systems. This paper presents an IoT-enabled framework that integrates wearable physiological sensors, wireless communication modules, and cloud- based analytics to facilitate real-time health tracking. The proposed system continuously …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 · pp. 1–14 Read article
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Overheating Prevention System to Improve the Solar Effcicency: Simulation in Logosoft
Abstract: This project aims to improve the efficiency and longevity of solar panels by preventing overheating through an automated cooling system. The system guarantees solar panels operate efficiently, reliably, and sustainably. The proposed system also includes a feedback-based control mechanism that assesses temperature changes on an ongoing basis to enhance cooling cycles and reduce superfluous water consumption. Using LOGO!Soft Comfort software for simulation, the system integrates a temperature sensor to monitor …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 Read article
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Rumen Microbial Adaptation to Dietary Shifts: Mechanisms, Challenges, and Implications for Sustainable Ruminant Production
Abstract: Rumen microbiota play a central role in the digestion and fermentation of dietary components, directly influencing the health and productivity of ruminants. Dietary shifts, such as transitioning from forage-based diets to concentrate-rich diets or incorporating feed additives, induce significant changes in the composition, structure, and functional dynamics of the rumen microbial community. These adaptations, while essential for maintaining microbial homeostasis, can also lead to transient imbalances, including risks of acidosis, …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 1, 2026 · pp. 17–26 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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A Qualitative Comparative Study of Storytelling Through the Thematic Apperception Test Among Two Young Adults with a History of Substance Abuse in a Selected De-Addiction Centre in Delhi, India
Abstract: Introduction: Substance use can deeply affect an individual’s personality, relationships, and psychological functioning. The thematic apperception test (TAT), a projective psychological tool, helps uncover unconscious thoughts and emotions through storytelling. Objective: (i) To explore and compare the underlying personality dynamics of two young adult males with a history of substance use through TAT card analysis. Method: A qualitative comparative case study design was used. Ten standard TAT cards were presented …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 1–4 Read article
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Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 Read article
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Uterine Leiomyosarcoma: A Diagnostic Dilemma
Abstract: Tumours that fall under the category of uterine malignancies include carcinosarcomas, leiomyosarcomas, endometrial stromal sarcomas, and undifferentiated sarcomas. Of them, leiomyosarcoma is the most common subtype, while still quite uncommon—it accounts for 1% to 2% of uterine cancers. Since postmenopausal bleeding is typically present in leiomyosarcomas, prompt detection is essential for successful treatment. This case study features a 50-year-old female patient who had postmenopausal bleeding, which is a common sign …
Published in International Journal of Pathogens · Vol. 1, Issue 1, 2024 · pp. 38–42 Read article
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Innovative Use of Pressure Relieving Foam Based Garment for Lumbar Pressure Sore
Abstract: Pressure ulcers, stemming mainly from friction and shear forces, manifest as chronic wounds that worsen over time. They commonly afflict individuals who are bedridden or have limited mobility. Our investigation involved a 62-year-old male with a hypertrophic scar on his back resulting from the excision of a carbuncle. Subsequently, he developed a lumbar pressure sore at the scar site. To address this issue, adjustments were made to his pressure garment, …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 1, 2024 · pp. 52–56 Read article
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Enhanced Shell Script Optimization Techniques for Low-latency Automation in DevOps Environments
Abstract: Shell scripting remains a foundational component in system administration and DevOps automation, providing a straightforward yet powerful method for automating tasks, managing system configurations, and integrating seamlessly within continuous integration and continuous delivery (CI/CD) pipelines. These scripts serve as the backbone for many repetitive and complex tasks, enabling IT teams to execute workflows efficiently without manual intervention. As organizations continue to scale their infrastructure and adopt more complex architectures, the …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
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Mathematical Modeling of Epidemics Using Stochastic Differential Equations: A Review
Abstract: The accurate modeling of infectious disease dynamics is crucial for predicting outbreaks and informing public health interventions. While deterministic models such as the SIR (Susceptible-Infected-Recovered) framework have traditionally been used to understand disease transmission, they often fail to account for the randomness inherent in real-world scenarios. Disease spread is influenced by numerous uncertain factors, including individual behavioral changes, environmental fluctuations, and imperfect data reporting. These uncertainties can significantly impact model …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 1–6 Read article
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Preparation of Vitamin B12-Enriched Curds: A Novel Approach to Address Nutritional Deficiency in Vegetarian Populations
Abstract: Addressing the significant public health challenge of Vitamin B12 deficiency, particularly within India’s substantial vegetarian population (estimated at 35%), this study explored biofortification of the widely consumed dairy product curd (dahi) as a culturally acceptable solution, overcoming barriers of cost, access, and compliance associated with traditional supplements. Researchers isolated bacterial strains from Swiss cheese, presumptively identified as Propionibacterium shermanii based on phenotypic characteristics, and used them to ferment curd under …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 1, 2026 · pp. 1–15 Read article
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A True Experimental Study to Assess the Effectiveness of Cognitive Behavioral Therapy on Low Self-Esteem Among B.Sc. 1St Year Students in Pt. Jwala Prasad Upadhyay Govt. College Patna, Korea (C.G.)
Abstract: Self-esteem is vital for an individual’s well-being and quality of life. Struggling with low self-esteem can lead to negative behaviors and unfavorable outcomes. Cognitive behavioral therapy (CBT), a well-established psychological approach, effectively addresses mental health issues like low self-esteem. By focusing on unhelpful thought patterns and behaviors, CBT supports individuals in fostering a more positive self-image and enhancing emotional health. This study aimed to evaluate the effectiveness of CBT in …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 1, 2025 · pp. 21–24 Read article
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Depression Detection Using AI with Chatbot Support
Abstract: Depression is a major global health concern and a significant contributor to suicide rates worldwide. India reports a high number of suicide cases, making the early detection of mental distress and depression essential for timely intervention. This research presents an AI-based system for depression detection that integrates deep learning, natural language processing (NLP), and a chatbot for user support. The system analyzes facial expressions using convolutional neural networks (CNNs) and …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 01–08 Read article
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Designing LMS for Different Universities
Abstract: A range of universities round the sector have applied the Learning Management System (LMS) to help college students and teachers interact outdoor of the conventional classroom. It's a digitally-enabled environment that manages consumer gaining knowledge of interventions and distributes gaining knowledge of content material and assets to students. Because the LMS device has already been set up and professors are obligated to use it in their daily lectures, selecting students …
Published in Current Trends in Information Technology · Vol. 11, Issue 3, 2021 · pp. 24–28 Read article