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168 articles for “reduced delay”
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Leveraging AI and Machine Learning for Early Prediction and Prevention of Non- Communicable Diseases in Resource-Limited Settings
Abstract: Populations in these regions face persistent structural barriers, such as underdeveloped healthcare infrastructure, shortages of trained health professionals, and fragmented or incomplete health information systems. These limitations delay timely diagnosis, restrict access to preventive care, and compromise effective disease management. In recent years, rapid progress in artificial intelligence (AI) and machine learning (ML) has opened promising avenues to mitigate these challenges. Practical applications already emerging include mobile health platforms for …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 9–15 Read article
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Effect of Valsalva Maneuver Prior to Cannulation on Pain Among Patients Undergoing Peripheral Venous Cannulation
Abstract: Peripheral venous canulation is the common nursing procedure carried out which cause soreness to the recipient. Previous experience of peripheral venous cannulation may result in negligence or delay in need of medical care. Valsalva Maneuver is a non-pharmacological and cost- effective method to decrease intensity of pain during peripheral venous cannulation. Aim: To assess the effect of Valsalva Maneuver prior to cannulation on pain among patients undergoing peripheral venous cannulation. …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 2, 2024 · pp. 1–6 Read article
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Design And Validation of High Efficiency Of 10T Sram with High Recoverability Of Multi Node Soft Error
Abstract: Sensitive nodes' critical charge is decreasing, which increases the soft-error vulnerability of SRAM cells used in aerospace applications. A single event upset (SEU) occurs when a radiation particle hits a sensitive node in a typical 6T SRAM cell, flipping the data that has been stored in the cell. Consequently, a Soft-Error-Aware Read-Stability-Enhanced Low Power 10T (SARP10T) SRAM cell is suggested in this project to reduce SEUs. The quadro cell exhibits …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 2, 2024 · pp. 7–14 Read article
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An Expected Cardiovascular Disease Detection Using Deep Learning Techniques
Abstract: Many avoidable deaths globally are caused by CVD, often due to individuals remaining unaware of their risk factors until severe symptoms, such as heart attacks or strokes, appear. This study utilizes retinal images as the dataset to explore the potential of retinal imaging as a non-invasive diagnostic tool for early detection of cardiovascular diseases (CVD). The delay in diagnosis and treatment highlights the need for sophisticated diagnostic instruments that can …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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Unusual Foreign Bodies in Gastrointestinal Tract: A Three-year Experience in a Tertiary Care Hospital
Abstract: Background: Majority of foreign body ingestion occurs in paediatric population with a peak incidence between ages of 6 months and 6 years. In adults, foreign body ingestion occurs more commonly in those with psychiatric disorders, developmental delay, alcohol intoxication, and in incarcerated individuals seeking gains via release to a medical facility. Materials and Methods: This prospective observational study was done in a tertiary care hospital of northern India over a …
Published in Research and Reviews : Journal of Surgery · Vol. 11, Issue 1, 2022 · pp. 25–29 Read article
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Design of an ArUco Marker-Guided Smart Trolley with Integrated Billing Estimation
Abstract: The growing adoption of automation in retail environments has increased the need for intelligent systems that improve user convenience and reduce manual effort. This paper presents the design and development of a human-following smart shopping trolley with an integrated automatic billing system based on computer vision. The proposed system employs ArUco marker–based human tracking to achieve reliable and real-time following behaviour. A Raspberry Pi serves as the central processing unit, …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 55–65 Read article
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Short-Term Load Demand Forecasting using Chaos Theory and ANFIS
Abstract: In the electrical power sector, forecasting of load demand is an important process for effective planning of future expansion and periodical operations including unit commitments, fuel scheduling, short-term maintenance, security assessments, reducing spinning reserve, reliability analysis etc. Accurate load predictions are also necessary to utilize the electrical energy efficiently and to minimize the conflicts between the demand and supply of electricity. As electric load pattern of a region is very …
Published in Trends in Electrical Engineering · Vol. 6, Issue 2, 2016 · pp. 50–57 Read article
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The Effectiveness of Honey Application for Oral Mucositis in Cancer Patients: A Review of Randomized Controlled Trials
Abstract: Background: Oral mucositis (OM) is a prevalent and distressing adverse outcome of cancer therapies, including chemotherapy and radiation therapy. It is an inflammatory ailment that impacts the mucous membrane inside the mouth, tongue, gums, and throat. OM can cause pain, discomfort, difficulty swallowing, and in severe cases, it can lead to infection and delayed cancer treatment. Although there are various treatments available, such as painkillers, anti-inflammatory drugs, and topical anesthetics, …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 32–39 Read article