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1977 articles for “AC Analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Ergonomic Risk Analysis Using Various Ergonomic Assessment Tools to Reduce the Risk of Musculoskeletal Disorders (Msds): A Case Study in Construction Industry
Abstract: As construction workers are often exposed to ergonomic risks, an accurate ergonomic risk analysis for job design is necessary to mitigate risks and consequently improve productivity. Ergonomic risks, which include musculoskeletal disorders (MSDs), cumulative trauma disorders, repetitive strain injuries, and repetitive motion injuries, are a major cause of occupational illness. The purpose of this paper is to identify the actual and potential hazards associated with Plastic mortar preparation, metal cutting, …
Published in Journal of Production Research & Management · Vol. 13, Issue 2, 2023 · pp. 33–63 Read article
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MedVerse AI: An Intelligent Digital Health Platform for Patient-Centric Healthcare and Proactive Disease Prediction
Abstract: The rapid digitization of healthcare has led to an unprecedented growth in medical data, ranging from diagnostic images and laboratory reports to electronic health records and clinical notes. Despite this abundance, patients and healthcare providers often struggle to extract meaningful insights due to data complexity and fragmentation. MedVerse AI proposes an intelligent digital health platform that unifies medical image analysis, clinical report interpretation, real-time interaction, and predictive disease analytics into …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 2, 2026 · pp. 1–7 Read article
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In Silico Molecular Docking Studies of Phytoconstituents Identified in Curcuma zedoaria Rosc. on Acetylcholinesterase: An Enzyme Target for Anti Alzheimer’s Activity
Abstract: Alzheimer’s disease (AD) is a chronic, progressive and disabling organic brain disorder characterized by disturbances of multiple cortical functions. Acetylcholinesterase (AChE) inhibition is thought to be a promising approach towards the treatment of AD. The aim and objective of the present study is to perform in-silico docking analysis of the major active constituents identified in Curcuma zedoaria Rosc. against AChE for anti-Alzheimer’s activity. In this perspective, phytoconstituents like bisdemethoxy curcumin, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 8, Issue 3, 2019 · pp. 9–14 Read article
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Preparation and Characterization of Activated Carbon from Bamboo by Chemical Activation
Abstract: In this study, an attempt was made to prepare an activated carbon (AC) from bamboo by chemical activation method. Phosphoric acid (H3PO4) was used as a chemical activation agent for the production of AC from bamboo under conditions of temperature 600 °C for 1 h. The AC is an excellent adsorbent and its applications are widely described in literatures. Prepared ACs, are characterized by standard methods XRD, SEM, FTIR, XRF. …
Published in Journal of Catalyst & Catalysis · Vol. 3, Issue 1, 2016 · pp. 1–6 Read article
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Personality and Behavior Identification Based on Handwriting Analysis
Abstract: Graphing is the process of identifying, evaluating, and understanding a person's personality traits through handwritten patterns. The accuracy of handwriting analysis depends on the skill of the analyst, it is expensive and prone to errors. The proposed approach is therefore focused on building a system that can predict personality traits with the help of machine learning without human intervention. In this project, 657 authors' handwritten samples were taken as datasets. …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 1, 2022 · pp. 42–54 Read article
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Impact of Polymer Chemistry on Population and Land Use Pattern to Identify Black Spot
Abstract: The incorporation of polymer chemistry has become more essential in the design and upkeep of roadways, greatly improving their strength, adaptability, and overall effectiveness. The use of polymers in road building mainly focuses on the alteration of bitumen (asphalt) and the creation of novel pavement materials. The roads are one of the best and most suitable modes of transport for every person in India, but in this highly populated country, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 540–548 Read article
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Effects of Reading Task With or Without Verbalization on Heart Rate Variability
Abstract: In the present work, effect of different reading passages with or without verbalization on heart rate variability has been assessed. The study was conducted on 13 subjects with age group 18–25 years and no medical history. The lead-II electrocardiogram was recorded using MP35 amplifier (Biopac Inc, USA) while subject was in sitting position. The paradigm for recording was designed using Superlab 4.5. The paradigm includes reading four different passages: (i) …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 5, Issue 1, 2015 · pp. 1–4 Read article
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Neuromorphic Spiking Neural Networks and Event-Driven Hardware: Architectures, Learning Paradigms, and Experimental Realizations
Abstract: With the current computational boom the research community is seeking for more sustainable energy efficient i.e. biologically inspired models of conventional Artificial Neural Networks (ANNs). Spiking Neural Networks (SNNs) known as the third generation of neural network models, provide a revolutionary approach by mimicking the asynchronized event-driven and temporally accurate signaling of the mammalian brain. Whereas conventional deep learning models operate with real-valued activations and dense matrix multiplications, SNNs use …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 39–46 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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Market Architecture, an Effect of Roadside Trading in Port Harcourt Metropolis. A Case Study of Rumu-Woji Market, Rivers State, Nigeria
Abstract: The challenges of road side trading along major market roads in Port Harcourt Metropolis has brought about certain menace to the city. The efforts put in place by the Rivers State government to eradicate the act of roadside trading along market roads have been proven abortive. Various means employed by the government to stop the act of roadside trading have not been successful such as, relocation of traders, barricading market …
Published in International Journal of Urban Design and Development · Vol. 3, Issue 1, 2025 · pp. 36–46 Read article
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Skin Disease prediction and classification from dermoscopy images using Neural Network
Abstract: Skin diseases are among the most common health-related problems affecting people of all age groups, and their occurrence often varies with seasonal and environmental conditions. Delayed or incorrect diagnosis of skin disorders can lead to severe complications, making early and accurate detection extremely important for effective treatment and prevention. In recent years, rapid advancements in deep learning and neural network technologies have significantly contributed to the development of automated medical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Artificial Intelligence–Driven Decision Support Systems for Smart and Efficient Data Analysis
Abstract: Artificial Intelligence (AI) has emerged as a transformative technology reshaping the way organizations process information, analyze data, and support decision-making. With the rapid growth of digital data across sectors, traditional analytical methods often face limitations in handling large, complex, and dynamic datasets. AI-based techniques, particularly machine learning and intelligent decision support systems, provide advanced capabilities for identifying hidden patterns, predicting outcomes, and assisting in data-driven decisions. This paper examines the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Isolation, Purification and Characterization of Antimicrobial peptide produced by Saccharomyces boulardii №6569
Abstract: Object: To identify microorganisms that are newly isolated biologically and microbiologically and determine their characteristics by purifying AMP produced by yeast. Methods: We measured the antibacterial activity of AMP using microliquid dilution and turbidity methods and purified them using membrane filtration and gel filtration methods. The molecular weight of AMP produced by Saccharomyces boulardii was measured using Acquity UPLC SQD-2 and MS. Results: We confirmed that yeast-№18, identified biologically and …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 1, 2024 · pp. 7–18 Read article
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The Impact of Sleep Quality on Academic Performance and Burnout Among College Students
Abstract: In today’s academic environment, college students face a multitude of challenges that disrupt their well-being—one of the most overlooked being sleep quality. While balancing coursework, social obligations, and personal goals, sleep often becomes a casualty of the student lifestyle. Many students often sacrifice sleep without fully realizing how it affects their mental sharpness and emotional well-being. This study delves into the complex connection between how well students sleep, how they …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 59–65 Read article
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A Case Study on Analysis of Road Safety concerns on a stretch of National Highway 12 in Rajasthan
Abstract: AbstractRoad safety is a growing social concern in the present day world. Rapid expansion in the road network and high motorization growth has led to serious impacts on road safety levels in India. The analysis of road accident data 2015 reveals that about 1,374 accidents and 400 deaths took place every day on Indian roads, which further converted into 57 accidents and loss of 17 lives on an average every …
Published in Trends in Transport Engineering and Applications · Vol. 4, Issue 3, 2017 · pp. 1–7 Read article
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An approach of Computer Vision Methods for Driver’s Drowsiness and Yawn Detection
Abstract: Numerous studies have demonstrated that 4,444 traffic crashes are primarily caused by driver drowsiness. Due to advancements in digital computer systems, tiredness behaviour may now be studied by researchers worldwide. The goal of this project is to increase road safety by preventing accidents caused by sleepy drivers. To view the driver's face, use real-time facial recognition technology. A driver's attentiveness and reaction time may be impacted by weariness, which raises …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 21–26 Read article
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Study of High-rise Building with Varying Imposed Loads Condition for Lateral Load Excitation
Abstract: The demand for land has risen, causing scarcity and leading to a significant increase in the construction of tall residential and commercial buildings. With limited land and a growing population, expanding horizontally is not feasible, making multistory buildings the solution. Urbanization has led to the construction of numerous high-rise structures, emphasizing the need for a thorough understanding and analysis of these structures. The present study aims to determine the critical …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 92–106 Read article
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Assessing the impact of lifestyle factors on autoimmune risk and survival outcomes: A Population-based Study
Abstract: This study investigated the interplay between lifestyle factors and genetic regulation in autoimmune diseases, focusing on the role of human T-cell metabolic and proliferative control through C-REL gene transcription. This study combined CRISPR-Cas9 manipulation of C-REL in human T-cells with a longitudinal cohort of 100 adults (autoimmune patients and controls), investigating metabolic and proliferation dynamics via flow cytometry and assays. It assessed lifestyle impacts through surveys and medical records, ensuring …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 2, 2025 Read article
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Effect of Adverse Childhood Experiences on Adult Attachment Styles and Help Seeking Behaviour Among Youth
Abstract: Psychological development is deeply influenced by early environments, where personal experiences, cultural norms, and structural factors intersect. Beyond individual adversity, societal conditions shape cognitive, emotional, and social functioning, ultimately influencing attachment patterns and help-seeking behaviour in adulthood. The current study explores the influence of adverse childhood experiences on adult attachment styles and help-seeking behaviour among youth. 140 participants (70= males, 70= females) aged 18-25 years were involved in the study. …
Published in International Journal of Children · Vol. 2, Issue 2, 2025 · pp. 25–34 Read article
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Grid Sensitivity and Its Impact on the Hydrodynamics of a Submerged Vessel
Abstract: Accurate prediction of hydrodynamic characteristics is essential for the design and performance assessment of underwater vehicles and offshore structures. Computational fluid dynamics (CFD) has emerged as an effective tool for analyzing fluid flow behavior around submerged bodies, enabling detailed evaluation of pressure distribution, drag forces, and flow patterns. In this study, the effect of mesh refinement on the hydrodynamic analysis of a DRDC-STR submarine nose section was investigated using ANSYS …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 2, 2026 · pp. 1–8 Read article