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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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The Architecture of Creek Road Market and the Image of Port Harcourt Metropolis, Rivers State, Nigeria
Abstract: Marketplaces are seen as centers of attraction in every city. Therefore, the architecture of marketplaces should be given extensive attention to attract a positive image of the city. If the architecture of a market lacks functionality, it will affect the perception of the city. Often, market designers ignore the key users of the market space and focus on providing profit-oriented spaces. This leads to the spillover of trading activities by …
Published in International Journal of Urban Design and Development · Vol. 4, Issue 1, 2026 · pp. 13–24 Read article
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Computers: Evolution, Breakthroughs, and Future Innovations
Abstract: The computer, a cornerstone of modern technology, has evolved through significant inventions and innovations that have transformed societies and industries worldwide. From the early mechanical calculating machines, such as Charles Babbage’s Analytical Engine, to the advent of electronic computers like the ENIAC, the journey of computing is marked by breakthroughs that have enabled rapid advancements in data processing, communication, and automation. The introduction of integrated circuits, microprocessors, and the development …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 2, 2025 · pp. 11–23 Read article
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Effect of Different Incubation Times on the Effectiveness of Oyster Mushrooms Towards the Growth of Some Fungal Isolates
Abstract: The study was conducted by preparing the filtrate of the oyster mushroom Pleurotus ostreatus, where the effectiveness of the fungal filtrate prepared from growing the fungus in the liquid Potato Dextrose Broth (PDB) medium was selected for two different periods (14, 28 days) in inhibiting some types of fungi (Aspergillus Spp : Aspergillus niger ،Aspergillus flavus, Aspergillus terreus) and some types of fungi (Candida Spp: Candida albicans, Candida tropicalis, Candida …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 2, 2025 · pp. 1–8 Read article
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A Smart Stove System for cooking food: A study
Abstract: Traditional cooking methods often suffer from inconsistencies, safety concerns, and a lack of real- time feedback, leading to suboptimal culinary results, potential hazards, and inefficient energy consumption. This paper introduces the design and implementation of an innovative Smart Stove System engineered to address these challenges comprehensively. Leveraging Internet of Things (IoT) principles, the system integrates an array of precise sensors (e.g., temperature, flame/gas detection, weight) with a sophisticated microcontroller, smart …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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The Study on Properties of Concrete with Cement Partially Replaced by Corn Cob Ash
Abstract: In recent times, instead of cement many alternative materials are being used as the binding material in the construction sector. One such binding material that can be used as a partial replacement for cement is corn cob ash. Corn cob is agricultural waste product obtained from maize or corn. Corn cob is the hard thick cylindrical central core of maize. The tests were carried out on the raw materials to …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 1, 2016 · pp. 78–83 Read article
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Time Series Sales Forecasting Using ARIMA Model
Abstract: Sales forecasting is a critical application in various industries and presents one of the most challenging problems worldwide. One method of prediction involves identifying patterns in historical data, where the outcome is known in advance and can be validated using more recent data. If a pattern consistently leads to the same outcome, it can be considered a genuine relationship. This method is highly flexible and can be utilized with diverse …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 17–27 Read article
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Innovative Waste Management Solutions for Building Sustainable Cities and Enhancing Community Resilience
Abstract: The swift growth of urban areas presents considerable difficulties in waste management, as conventional disposal techniques lead to environmental harm. This study explores innovative green technologies designed to transform urban waste into valuable biomaterials and biofuels, fostering a circular economy and environmental conservation. The focus is on real-time monitoring systems, RFID-enabled waste tracking, and IoT-based platforms, which optimize waste collection and segregation, enabling efficient recovery of materials for biofuel production. …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 3, Issue 1, 2025 · pp. 25–32 Read article
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Effectiveness of Spencer Technique of Mobilization on Adhesive Capsulitis: A Single Case Study
Abstract: Background: Frozen shoulder, or adhesive capsulitis, is a condition characterized by pain, restricted motion, and stiffness in the shoulder joint. This occurs due to inflammation and the thickening of the joint capsule. The Spencer technique, is a manual therapy method consisting of seven steps designed to improve shoulder function by enhancing joint mobility, circulation, and lymphatic flow. These movements target shoulder extension, flexion, circumduction, abduction, and adduction, to reduce stiffness …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 14–20 Read article
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Experimental Analysis of Line Balancing Issues in Automotive Fuel Tank Bracket Production
Abstract: Assembly line balancing is a manufacturing technique aimed at determining the anticipated production rate for manufacturing a specific product within a defined timeframe. Six Sigma, a profit-maximizing method, focuses on achieving consumer satisfaction. Reducing cycle time has become crucial to enhance production rates and meet client expectations. Assembly lines play a pivotal role in industrial production as efficient flow-line systems. Although building or redesigning assembly lines requires significant capital investment, …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 25–33 Read article
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AI-Driven Micro-Expression Recognition for Early Mental Health Disorder
Abstract: Mental health conditions like anxiety and depression are often undiagnosed because the usual diagnostic methods based on basic regular instruments like questionnaires and clinical interviews have some limitations in them. They are not objective often and may not catch the initial signs of psychological distress. Micro-expressions have become valid measures of repressed or unconscious emotions and can provide greater insight into someone's mental condition. Also, identification and interpretation of these …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 40–49 Read article
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A Study to Assess the Risk Factors Associated with Sudden Death in Population on Hemodialysis
Abstract: Background: Patients with chronic kidney disease (CKD) receiving maintenance hemodialysis (HD) experience disproportionately high mortality, with sudden death remaining a leading cause. Multiple clinical, biochemical, and care-related factors influence outcomes, yet comprehensive risk stratification models and the role of dialysis timing and early nephrology care remain inadequately explored in resource-limited settings. Objectives: This study aimed to (i) identify clinical and biochemical risk factors associated with mortality in HD patients, (ii) …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 14–19 Read article
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AI Powered Fault Detection in DC Motor using STM32
Abstract: This work presents the design and implementation of an embedded artificial intelligence system for real-time fault detection in a direct current (DC) motor using the STM32 Nucleo- F411RE microcontroller. The objective of the study is to develop a low-cost and efficient predictive maintenance solution capable of identifying abnormal motor behavior at an early stage. Vibration and temperature signals are acquired using an MPU6050 sensor and processed directly on the microcontroller …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 39–49 Read article
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Adsorption of Methylene Blue Dye from Aqueous Solution Using Polyaniline/Xanthan Gum Nanocomposite: Kinetic and Isotherm Studies
Abstract: ABSTRACTIn the present study, adsorptive properties of polyaniline/xanthan gum nanocomposite were investigated for methylene blue (MB) dye in aqueous solution. The effects of different parameters, namely adsorption time, adsorbent dose, pH and initial dye concentration were on dye adsorption were investigated. The results revealed that a rise se in pH lead to a significant increase in adsorption efficiency. Optimum adsorption time and nanocomposite dose were obtained 60 min and 0.075 …
Published in Journal of Polymer & Composites · Vol. 7, Issue 1, 2019 · pp. 17–26 Read article
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Influence of Epoxy-Based Thermally Conductive Polymer Composites on the Thermo-Hydraulic Performance of Finned Helical Coil Heat Exchangers Across Flow Regimes
Abstract: The use of polymer composites in heat exchanger applications has gained increasing attention due to their advantages in weight reduction, corrosion resistance, and design flexibility. However, their relatively low thermal conductivity compared to conventional metallic materials remains a key limitation for efficient heat transfer. In this study, the thermo-hydraulic performance of a finned helical coil heat exchanger is investigated with particular focus on epoxy-based polymer composites reinforced with thermally conductive …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 586–602 Read article
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PROBLEMS AND SOLUTIONS OF FARM EFFICIENCY AND SUSTAINABLE FARMING IN INDIA: AN ANALYTICAL STUDY
Abstract: The ability of a farm operation to obtain optimal outputs with minimal inputs like resources, labour, time, and environmental impact is a critical notion in modern agriculture practices. Enhancing farm productivity is crucial for sustainable farming methods and guaranteeing food security in a world where food demands are rising due to an expanding population. Objective: The farm's goals are to examine the various facets of agricultural efficiency, emphasise its importance, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 3, 2024 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Study on the Response of Strengthening Strategies for Masonry-infilled Open Ground Storey Framed Building
Abstract: The strengthening of reinforced concrete (RC) frame buildings with masonry infill wall and with open ground storey is a very timely and significant topic because of the poor performance against seismic action. The absence of infill walls in the ground storey makes the ground storey less stiff and weaker than the all upper storys which results in a poor performance against lateral loads. Soft storey mechanism prevails in these cases …
Published in Journal of Structural Engineering and Management Read article
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Plants Disease Detection Using TensorFlow and OpenCV
Abstract: Growing healthy and productive crops is crucial in the global battle for food security. To minimize crop losses and apply timely control measures, early and precise diagnosis of plant diseases is essential. Conventional illness detection techniques are subjective, labor-intensive, and complicated; they frequently rely on eye inspection. The TensorFlow and OpenCV libraries are used in this study to explore the use of Convolutional Neural Networks (CNNs) for plant disease discovery. …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 31–38 Read article
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Remote Controlled Boat for Water Pollution Monitoring
Abstract: The global issue of water quality degradation caused by pollution has become a critical environmental concern. Leaving water unchecked for an extended period make it unfit for human needs and eradicate the entire water ecosystem. Water being considered as a vital element in sustaining living things need to be protected. To address this challenge, novel technological solutions are being devised to effectively monitor and manage water resources. This study introduces …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 1, 2024 · pp. 34–43 Read article
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Correlation Analysis of Gastrocnemius Tightness and Heel Pain Severity: A Study on Plantar Fasciitis
Abstract: Background: Plantar fasciitis, a common source of heel pain, is frequently linked to tightness in the gastrocnemius (GCN) muscle. This study seeks to examine the relationship between GCN tightness and the severity of heel pain in plantar fasciitis patients over time, investigating the potential role of muscle flexibility in alleviating pain. Methods: A prospective cohort study was conducted with 74 patients aged 25–65 diagnosed with P. fasciitis at Santosh Hospital, …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 57–64 Read article