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1951 articles for “AIS” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Effect Of Different Shapes Of Air Diffusers On Removal Of Chemical Oxygen Demand Of Wastewater In Activated Sludge Process
Abstract: AbstractOne of the challenges faced in activated sludge process is the low solubility of oxygen in wastewater, affecting the microbial activity due to mass transfer limitations and ultimately hampering the effluent quality. To overcome this limitation various types of diffusers have been in use but the configuration in which the aerators must be placed is still an open question. A series of experiments were conducted using different shapes of diffuser …
Published in Journal of Water Resource Engineering and Management · Vol. 7, Issue 2, 2020 · pp. 9–14 Read article
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Heat Transfer and Exergy Analysis of Methane-Air Flame Impinging on Plane Surfaces
Abstract: Exergy and heat flow have been numerically investigated for flame impinging on flat circular plates. The maximum work available when the system is brought to thermodynamic equilibrium state with its surrounding is known as the exergy of a system. This state of equilibrium of the system depends on the pressure, temperature, and composition of environment. Efficiency based on exergy is otherwise known as the second-law efficiency which measures the usefulness …
Published in Recent Trends in Fluid Mechanics · Vol. 9, Issue 1, 2022 · pp. 13–24 Read article
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Inclusion Removal Study in a Integrated Tundish-Nozzle-Mold System by CFD
Abstract: CFD modelling is a powerful tool to study the complex flow phenomena happening in each step of the continuous casting process; considering this, the current research shows the impact of tundish turbulent phenomena on fluid dynamics and steel cleanliness considering an integrated system: tundish, nozzle, and mold. The mathematical simulations consider 3D cartesian coordinates for the continuity and Navier-Stokes equations together with the turbulent realizable and the multiphase VOF models. …
Published in Recent Trends in Fluid Mechanics · Vol. 9, Issue 2, 2022 · pp. 1–14 Read article
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Research Paper On Simulating Air Flow Over An Automobile To Examine Drag Properties
Abstract: Hatchbacks are currently the best-selling vehicles on the market. Consequently, they are expecting more from these medium cheap cars. These expectations might be met by improving the car's performance in terms of fuel efficiency, looks, and speed, as well as lowering the drag force that is applied to it. By lowering the drag coefficient and drag forces, it would be simple to increase speed and fuel efficiency. Drag is one …
Published in Recent Trends in Fluid Mechanics · Vol. 9, Issue 2, 2022 · pp. 35–49 Read article
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Thermal Analysis and Computer Aided Exhaust Valve Design Automation Using CREO and Microsoft Excel Spreadsheet
Abstract: 3D modeling has widely been used because of their ease in visualization, understanding andgeneration of manufacturing drawing sheets compared to 2D drafting. 3D Modeling is the timeconsumingprocess and many draftsmen does not have the skill to draw a 3D object inside a CADpackages. Internal combustion engine consists of two type of valves inlet valve and exhaust valve. Thepair of inlet and exhaust valve is called as poppet valves. Exhaust valve …
Published in Trends in Machine design · Vol. 8, Issue 1, 2021 · pp. 26–41 Read article
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Study on Improvement of Air Quality in Underground Car Parking Area Using Jet Fan
Abstract: In recent years, jet fans have become a popular alternative to traditional ducted systems for ventilating pollutants in large parking areas like underground car parks and tunnels. Proper forced draft ventilation is necessary to remove harmful pollutants, such as vehicle exhaust fumes and smoke in the event of a fire. It is crucial to have a quantitative understanding of how exhaust gases, containing various toxic particles, propagate in these areas.So …
Published in Trends in Transport Engineering and Applications · Vol. 10, Issue 2, 2023 · pp. 29–44 Read article
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Training Need Assessment of Nurses in Intensive Care Units at AIIMS, Bhubaneswar
Abstract: In order to evaluate the needs of nursing officers posted in ICUs, related to training, a study wasconducted among the nurses posted in ICUs. Census method was used for the study. Forty-fourquestions were distributed among eighty-eight nursing officers, which were documented to be ofimportance in patient care from a nursing perspective. The mean average of topics was 25. Themaximum number of training sessions received by staff was found to be …
Published in Journal of Nursing Science & Practice · Vol. 11, Issue 1, 2021 · pp. 66–72 Read article
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The Wonders of Psoralea Corylifolia (Babchi) for Various Ailments in Unani Healing
Abstract: Babchi, or Psoralea corylifolia Linn, has been used in the Unani System of Medicine for centuries due to its numerous medicinal properties. This plant is highly valued for its ability to effectively treat various types of diseases, especially those related to the skin. Unani physicians have long recognized the therapeutic potential of Babchi seeds, which have been traditionally used for its numerous medicinal benefits. Its seeds, in particular, have been …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 10, Issue 2, 2023 · pp. 5–10 Read article
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Toxicology 4.0: Integrating Artificial Intelligence, Big Data, Health Informatics, and Precision Analytics for Predictive Toxicity Assessment, Real-Time Toxicovigilance, and Personalized Patient Safety
Abstract: Background: Toxicology is undergoing a major transformation, increasingly described as Toxicology 4.0, driven by the integration of artificial intelligence (AI), big data analytics, health informatics, and precision analytics. Conventional toxicity testing is limited by high costs, lengthy timelines, and challenges in translating animal and low-throughput in vitro findings to humans. Aim and Objectives: To comprehensively evaluate the emerging role of Toxicology 4.0 in predictive toxicity assessment, real-time toxicovigilance, and personalized …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 2, 2026 Read article
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Intelligent Paradigms in Subsea Connectivity: A Comprehensive Review of Artificial Intelligence in Underwater Communications
Abstract: Underwater wireless communication (UWC) plays a critical role in ocean exploration, environmental monitoring, offshore energy operations, disaster management, and naval defense. However, the underwater environment presents significant communication challenges, including severe signal attenuation, multipath propagation, Doppler effects, limited bandwidth, high latency, and energy constraints. Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) have emerged as promising solutions to address these limitations and enhance the efficiency, reliability, and adaptability …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Artificial Intelligence in Healthcare for Implants and Tissue Regeneration: Advances, Challenges, and Future Directions
Abstract: Artificial intelligence (AI) has been a revolutionary influence in contemporary healthcare, especially in implant design, biomaterials research, and tissue regeneration. In regenerative medicine, AI facilitates predictive modeling, optimization, and decision-making via the analysis of intricate biological, material, and clinical information. This study analyzes current research on AI applications in implant technologies and tissue regeneration, specifically addressing scaffold engineering, biomaterial characterisation, stem cell and gene treatments, smart biomaterials, and implant planning. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Confident but Wrong: A Lifecycle Analysis of Hallucination in Large Language Models Understanding AI's Confidence Problem
Abstract: A Large Language Model (LLM) is likely to produce sentences that are fluent and confident in many instances, but completely wrong. In many cases a Large Language Model (LLM) will produce a fluent and confident sentence that is completely incorrect. This review tries to analyze this phenomenon using the most recent literature regarding natural language generation, computational learning theory and benchmark experiments. The argument is that it is not a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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The Relationship Between HbA1c and Inflammatory Markers in Acute Ischemic Stroke with and without Diabetes Mellitus
Abstract: Background: Diabetes mellitus (DM) is a prominent risk factor for acute ischemic stroke (AIS), contributing significantly to morbidity and mortality worldwide. Although inflammatory markers like neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and C-reactive protein (CRP) are recognized as playing a role in the development of acute ischemic stroke (AIS), their association with diabetes mellitus (DM) in individuals affected by AIS remains uncertain. This study seeks to investigate the differences in …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 57–66 Read article
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Experimental investigation of humidification-dehumidification desalination system
Abstract: The aim of present study is to investigate an H-DH desalination system experimentally. The system consists of a solar air heater, a humidifier, and a dehumidifier connected with an evaporative cooler. The proposed system is operated in a closed loop configuration, at two airflow rates. The performance metrics are assessed via the examination of energy and economic factors. The solar air heater has the ability to produce hot air with …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 104–113 Read article
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Revolutionizing oncology - role of artificial intelligence in early cancer detection and diagnostic advances-A comprehensive review
Abstract: Oncology has experienced a remarkable transformation with the adoption of artificial intelligence (AI), which has greatly enhanced cancer detection and diagnosis. As one of the leading causes of death worldwide, cancer highlights the importance of early detection in improving patient outcomes and survival rates. AI’s ability to analyze vast and complex datasets has enabled groundbreaking innovations in imaging, pathology, biomarker discovery, and predictive analytics. This review highlights key AI-driven advancements …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 18–22 Read article
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The Integration of Artificial Intelligence in Sikh Shrines: Enhancing Tradition and Accessibility
Abstract: The purpose of the present study is to expound on the significance of the integration of artificial intelligence in Sikh shrines could enhance tradition and accessibility. Artificial Intelligence (AI) has significantly influenced various facets of human life, including religious and spiritual traditions. As one of the youngest religions, Sikhism paves the way for wider research in Sikh structures, including Sikh Shrines. Sikh Shrines also known as Gurudwaras are an essential …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 Read article
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Enhancing Worker Comfort in High-Heat Environments: A Triangular Bladeless Cooling Fan Approach
Abstract: Workers in high-heat industrial environments frequently encounter thermal stress, fatigue, and dehydration, which significantly impact both productivity and safety. Existing cooling solutions such as pedestal fans, ceiling fans, and central air-cooling systems often fall short due to limited airflow reach, safety concerns from exposed blades, high energy consumption, and poor suitability for dynamic workshop layouts. To address these challenges, this study presents a novel triangular bladeless fan designed specifically for …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 25–31 Read article
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The Role of Artificial Intelligence and Machine Learning in Redefining Global Healthcare Systems and Advancing Medical Innovation
Abstract: Health Services are being revolutionized with AI and ML through improved accuracy, efficiency and accessibility in the delivery of health care. With AI and ML, it is now possible for health care professionals to assess varying amounts of complex clinical data in a relatively short amount of time, therefore, creating opportunities for early detection of disease, increasing the odds of accurate diagnosis, and improving the ability to make informed clinical …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 14–19 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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Numerical Investigation of Louvered Fins for Efficient Cooling of Automotive Engines
Abstract: Air cooled fins are designed to cool motorcycle engines or similar class of small vehicles bytransferring the heat to the air as it passes in-between the fins at high speed. The air circulation andfin geometry are interdependent, and improved air circulation leads to more efficient cooling. So, inthis study a parametric numerical investigation is conducted on a new conceptual design of air-cooled fins. Design parameters are set as: fin pitch, …
Published in Journal of Automobile Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 6–16 Read article