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1971 articles for “time study” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Nanotechnology in Surgical Drains: Reducing Infections and Promoting Healing Post-Surgery
Abstract: Surgical drains are widely used in postoperative care to evacuate accumulated fluids, minimize dead space, and reduce complications such as hematoma and seroma formation. Despite their clinical importance, conventional drains are frequently associated with retrograde bacterial migration, biofilm formation, and increased risk of surgical site infections (SSIs), which contribute significantly to postoperative morbidity and prolonged hospital stay. Recent advancements in nanotechnology have enabled the development of nano-functionalized surgical drains with …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 2, 2026 · pp. 54–67 Read article
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Magnitude of Early Skin-to-Skin Care Practice and Associated Factors among Postnatal Women in Harari Region Hospitals, Ethiopia, 2017
Abstract: Background: Early skin-to-skin care (SSC) is among recommended top ten essential routine newborn care practices after birth for all stable mothers and newborns, regardless of mode of delivery. Despite the large quantity of evidence suggesting the positive impact of the method, it is often a neglected practice, contrary to current newborn care guidelines. The main aim of this study was to assess early SSC practice and associated factors among postnatal …
Published in Journal of Nursing Science & Practice · Vol. 8, Issue 3, 2018 · pp. 1–9 Read article
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Magnitude and Factors associated with Voluntary Blood Donation Practice among Adult Mekelle Population, North Ethiopia: A Community-based Cross-sectional Study
Abstract: Globally, around 107 million blood donations are collected annually. However, only two million units are donated in sub-Saharan Africa where the need is enormous. Hence, the aim of the study was to assess the magnitude and factors affecting blood donation practice among adult Mekelle population. A community-based cross-sectional study design was conducted. Using multistage sampling technique and a pre-tested structured interview questionnaire, data were collected from 845 study participants. Collected …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 4, Issue 3, 2015 · pp. 5–13 Read article
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IoT-Based Real-Time Weather Monitoring System
Abstract: In the evolving landscape of the Internet of Things (IoT), real-time environmental monitoring has become increasingly vital across various domains, including agriculture, smart cities, and climate research. This study presents the design and implementation of an IoT-based real-time weather monitoring system that utilizes the ESP32 microcontroller in conjunction with AWS cloud services. Temperature and humidity data are captured using onboard sensors and transmitted using the MQTT protocol to AWS IoT …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 19–25 Read article
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Knowledge and Practices on Self-Care Activities During Postoperative Period Among Mothers with Lower Segment Caesarean Section in a Selected Hospital at Bangalore: A Descriptive Study
Abstract: Caesarean section is a major obstetric procedure. Mothers who experience a caesarean birth need special care. A daily postpartum assessment should be done which includes assessment of the women’s breast and nipple condition, the amount and character of her lochia, inspection of the abdominal extremities and assessment of her voiding. Mothers may need help with breast feeding especially during the first few days. Acute or chronic complications are experienced by …
Published in Journal of Nursing Science & Practice · Vol. 5, Issue 3, 2015 · pp. 32–35 Read article
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Very Short-Term Load Forecasting Using Gaussian Process Regression
Abstract: Very Short-Term Load Forecasting (VSTLF) is critical for real-time grid stability, frequency control, and economic dispatch. This study proposes a Gaussian Process Regression (GPR)-based framework for one-hour-ahead load forecasting using hourly data from January 2020 to April 2024 for Delhi, India. The model incorporates meteorological data such as temperature, humidity, and dew point with lagged load values. The research takes into account time-related dependencies and seasonal changes in order to …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 91–104 Read article
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Real-Time System Monitoring and Resource Optimization Using Shell Scripts in UNIX/Linux Environments
Abstract: Real-time system monitoring is a fundamental aspect of system administration in UNIX/Linux environments, as it ensures optimal system performance, reliability, and continuous availability of services. In modern computing infrastructures, systems are expected to operate efficiently under varying workloads, and any degradation in performance, such as CPU overload, memory exhaustion, disk bottlenecks, or network congestion, can significantly impact user experience and system stability. Regular observation and prompt action are crucial for …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 08–15 Read article
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Productivity in Construction and Quantity Surveying Functions: Assessing User Satisfaction with the Effectiveness of Software Design
Abstract: Information technology has had a significant impact on the productivity of business operations and processes in construction. Quantity surveyors are responsible for managing labour, time, and cost in construction projects, with the primary aim of achieving high levels of productivity. Given the transformative potential of information technology, the professional services of quantity surveyors have been digitalized to meet the demands of construction stakeholders through the development of different software packages. …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 1, 2025 · pp. 24–35 Read article
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Correlation of Outcome of Scars with Comorbidities Following Er YAG Laser
Abstract: The scar is a sequela of any form of trauma. The abnormal scar can influence an individual’s well beingness. The prevention, as well as treatment of scars, is important. The scar makes a good percentage of consultations in any Plastic Surgery department or dermatology department. There are many methods to manage a scar, Laser Therapy using Er YAG laser is one method of management of scars that are widely used. …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 2, 2024 · pp. 12–16 Read article
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HirePrep: A Microservice-Based Integrated Placement Preparation Platform with AI Assistance
Abstract: Preparing for campus placements can be a confusing and time-consuming process. Students have to use different platforms for things like practice tests, study materials, talking to people, and getting updates from the administration. This is not a waste of time, but it also makes it harder for students to be productive and clear about what they need to do when they are getting ready for their careers. To make things …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 25–37 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article
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A Study of Optical Sensor in Clinical applications
Abstract: The escalating demand for precise, real-time, and minimally invasive diagnostic and monitoring tools in clinical practice has propelled the development of sophisticated sensor technologies. Among these, optical sensors have emerged as a cornerstone, leveraging the interaction of light with biological matter to translate molecular or cellular events into quantifiable signals. Their inherent advantages – including high sensitivity, specificity, rapid response times, non-ionizing nature, and potential for miniaturization – make them …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Variation in Ozone at Night in Barrow, Alaska, during Different seasons, and its Relationship to Methane at Different Pressures
Abstract: The study is focus on the investigation of the night-time seasonal variability of ozone (O₃) at Barrow, Alaska, and also it examines its association with methane (CH₄) concentrations at different pressure levels along with solar flux variations on the basis of eighteen years (2003–2020) of observational data, including ground-based ozone measurements, satellite-derived methane data at 100, 200, 300, 400, and 500 hPa, and solar flux (F10.7) values. For finding the …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 44–53 Read article
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A Study on a Single Server Batch Arrival General Bulk Service Queueing System
Abstract: AbstractThis paper deals with the transient and steady state behavior of a single server batch arrival bulk service queueing system. A batch of customers arrives according to a Poisson process, whereas the bulk service is rendered by a single server with a minimum batch size of ‘a’ and maximum of ‘b’. The service time follows a general distribution. Probability generating function of the distributions and , under equilibrium has been …
Published in Current Trends in Information Technology · Vol. 7, Issue 3, 2017 · pp. 1–8 Read article
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Exploring Moth Diversity in the Ecosystem of Mangalore University Campus, Karnataka
Abstract: The moth is one of the genera of insects of the order Lepidoptera, where butterflies share the same genus. They have nocturnal habits and a high attraction to light. Moths have various sizes, shapes, and colors, with many having duller colors. A study was conducted on the diversity of moth species in Mangalore University campus, Mangalore, Karnataka, for eight months (August 2006 to March 2007). We recorded 39 moths belonging …
Published in International Journal of Insects · Vol. 1, Issue 1, 2024 · pp. 22–29 Read article
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Study of Binary Systems Based on Butadiene-Terephthalate Rubber and Astragals and Its Rheological Properties
Abstract: Study of binary systems based on butadiene-terephthalate rubber and Astragals and it In this work, Nano sized astragals was used for the first time to modify butadiene terephthalate rubber. For this purpose, compositions were prepared to study the properties of butadiene terephthalate rubber with different astragals contents of 1, 3 and 5 mass parts. Their results were compared with the control composition without nanoparticles. The presence of astragals and its …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 153–169 Read article
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A Review on Electric Spring Utilization for Smart Grid Structure in Power Generation
Abstract: The review documents contained in the literature are either completely off the non-critical load or forwarded within a convenient time frame based on the resulting satisfaction. In this study, instead of shifting critical loads to other terms, they tried to adjust the energy consumption of non-critical loads with the help of AC. A rule-based energy management algorithm is proposed, which uses electric springs to use AC microgrids.A new DC/DC converter …
Published in Journal of Semiconductor Devices and Circuits · Vol. 8, Issue 1, 2021 · pp. 37–43 Read article
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Lung Cancer Detection and Classification Using Deep Learning
Abstract: Lung cancer is a disease that can be effectively treated if detected early. Various technologies, such as magnetic resonance imaging, isotopes, X-rays, and computed tomography scans, are employed for diagnosis. One of the most crucial strategies in combating cancer is early detection, which greatly enhances a patient’s likelihood of survival; this is where artificial intelligence plays a significant role. The approach proposed in this study leverages historical medical data to …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 11–17 Read article
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An Observational Clinical Study to Evaluate the Efficacy of Lekhaneeya Mahakashaya Yogabasti in the Management of Sthoulya
Abstract: Obesity is defined as an abnormal or excessive accumulation of fat that pose a risk to health. Obesity has increased at an alarming rate in recent years and has become one of the major health hazards globally. It is considered as a lifestyle disorder in which a complex interplay of genetic, environmental and psychological factors play a major role, especially primary obesity wherein no obvious cause exists other than an …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 4, Issue 1, 2015 · pp. 1–9 Read article
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AI-Driven IoT Ecosystems for Real-Time Thermo-Chemical Decision Making
Abstract: The efficient management of thermo-chemical processes is a critical challenge in modern industry, where maintaining precision, operational safety, and energy efficiency directly influences productivity and sustainability. The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) has transformed conventional industrial systems into intelligent, data-driven environments capable of continuous monitoring, predictive analysis, and autonomous decision-making. By integrating interconnected sensors, edge computing, cloud platforms, and advanced machine learning algorithms, industries …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 10–15 Read article