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48 articles for “HELP score”
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Experimental Study on the Effect of Membranous Milkvetch and Ledebouriella divaricate Immunomodulatory Tablets on cytokine production in allergic rhinitis model mice
Abstract: We have established allergic rhinitis models for use in the treatment of allergic rhinitis with the help of the traditionall Koryo medicine administration, lade-screen Powder-extracted Membranous Milkvetch and Ledebouriella divaricate immunomodulatory tablet and the effect of lade-screen Powder on cytokine production in allergic rhinitis model mice. In the allergic rhinitis model, the administration of Membranous Milkvetch and Ledebouriella divaricate immunomodulatory tablets, along with Lade-screen Powder, demonstrated significant therapeutic effects. These …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 Read article
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Experimental Study on Heart Disease Prediction Using Different Machine Learning Algorithms
Abstract: Heart disease which can also be referred to as the cardiovascular disease is one of the raising concerns in today’s world. It is one of the major health problems causing death among humans irrespective of the age group and therefore has made it necessary to look into different medical factors that are required to predict the same in advance using the collected historical datasets of various patients. Thus we have …
Published in Journal of Artificial Intelligence Research & Advances Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article
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Retrieval Augmented Generation for Question Answering in Financial Documents
Abstract: In recent years, the integration of Question Answering (QA) with the Retrieval Augmented Generation (RAG) system has transformed to interact with numerous documents. It uses Natural Language Processing (NLP) techniques to improve accuracy and relevant responses derived from huge documents. RAG integrates the advantages of the retrieval and generation process, which allows systems to generate natural responses and extract context from multiple sources. The main reason to use RAG is …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 62–68 Read article
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Enzyme Stability Prediction using BERT and CNN-A Deep Learning Approach for Enhanced Biocatalysis
Abstract: An important factor in determining the efficacy of industrial enzymes used in various biotechnological applications is their stability. The goal of this study is to develop a predictive model for industrial enzyme stability, which is essential to the efficiency of these enzymes in biotechnological applications. The research takes a comprehensive strategy to comprehend the parameters affecting enzyme stability by combining statistical analysis, deep learning algorithms (BERT and CNN), and molecular …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 19–35 Read article
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Biometric Fingerprint Systems for Secure and Efficient Attendance Tracking in Workplaces and Universities
Abstract: A fingerprint attendance system, which uses each person's unique fingerprint rather than more conventional techniques like sign-in sheets or ID cards, is a simple and dependable approach to keeping track of who is present. The device instantly compares the user's finger to the fingerprint on file when they place it on a scanner, thereby recording their attendance. This avoids errors such as someone signing in on behalf of others or …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 2, 2024 · pp. 12–17 Read article
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Impact of Education Program on Practical Knowledge on First Aid in Fracture
Abstract: Practical knowledge of first aid in fracture among drives is important as the drivers will be on road with their vehicle most of the time and primarily available for initial management of fracture with minimal available materials like newspaper, stick, wooden boards, tags, bandages. The skill of managing fracture help in prevention of trauma during transport to hospital. One group pretest posttest design for 109 drivers using purposive sampling technique …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 11–15 Read article
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Clinical Efficacy of Laxadi Taila Janubasti in the Management of Janusandhigata Vata (Knee Osteoarthritis): A Case Report
Abstract: Background: Janusandhigata Vata, described under Sandhigata Vata in Ayurvedic classics, characterized by pain, swelling, crepitus, stiffness, and restricted movement of the knee joint. Clinically, it resembles Knee Osteoarthritis (OA), a common degenerative Musculoskeletal disorder affecting the quality of life of elderly individuals. Janubasti is a localized oleation therapy widely employed for managing degenerative knee disorders. Laxadi Taila possesses Vatahara, Balya, and Asthi-Sandhana properties that may help restore joint function and …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 2, 2026 Read article
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Oral Self-examination: An Approach for Early Recognition of Oral Cancer Among Factory Workers: An Experimental Study
Abstract: Background: Cancer is a worldwide concern and ranks among the most dreaded illnesses across the globe. Oral cancers are one common cancer among all cancers. Objectives: To measure the existing knowledge concerning oral self-examination for timely recognition of oral cancer among factory workers and to develop and administer a planned health education programme of oral self-examination for early recognition of oral cancer among factory workers. 40 factory workers were selected …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 22–26 Read article
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AI-Driven Exam Grading, Percentile Calculation, and Plagiarism Detection System for Educational Integrity
Abstract: The influence of artificial intelligence (AI) on academic evaluation has become increasingly significant, particularly in areas such as automated grading, large-scale content analysis, and plagiarism detection. These technologies provide educators with rapid processing, consistent scoring, and timely feedback that can support both teaching and learning. However, alongside these advantages, serious concerns have emerged regarding the reliability and fairness of AI-driven assessments. The growing presence of AI-generated content has further complicated …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 07–12 Read article
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Exploring Gesture Handling in The Shakti man Game: A User Experience Study
Abstract: Participants in "The Shaktiman Game" take on the role of the valiant hero Shaktiman in an engrossing 2D adventure. Players must fight their way through an endless barrage of enemies in this dynamic arena to get the best score. Player’s control Shaktiman's movements in the beginning by making natural hand gestures in front of a camera, which allows them to maneuver the character horizontally over an eye-catching gaming environment. The …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Evaluation of Machine Learning Classifiers for Sentiment Analysis
Abstract: Sentiment in social media refers to users’ emotions and opinions through their posts and interactions. Sentiment analysis (SA) refers to relating and classifying the sentiments expressed as engagement and interactions between users. When analyzed, tweets frequently produce a large source of clustered data. These data help determine people’s opinions about a variety of motifs. Thus, this study presents an Automated Machine Learning (ML) Sentiment Analysis Model to detect media sentiment. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 141–154 Read article
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Grid based docking study of some 2-(4-methylsulfonyl phenyl) pyrimidine derivatives (designed after QSAR studies) with Cyclooxygenase
Abstract: Molecular docking helps in studying drug/ligand or receptor/ protein interactions by identifying the suitable active sites in protein, obtaining the best geometry of ligand-receptor complex and calculating the energy of interaction for different ligands to design more effective ligands. In Grid based docking, after unique conformers of the ligand are generated, the receptor cavity of interest is chosen and a grid is generated around the cavity. Cavity points are found …
Published in International Journal of Antibiotics · Vol. 1, Issue 1, 2024 · pp. 23–41 Read article
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A Study to Assess the Impact of Infertility on Marital and Sexual Satisfaction among Infertile Women Visiting Selected Infertility Clinics of City Ludhiana, Punjab
Abstract: Infertility has been described as a stressor and a life crisis for infertile women, which results in a lower marital and sexual satisfaction. More dissatisfaction is felt by infertile women, and both direct and indirect negative effects on the marriage are brought on by stress connected to infertility and its treatment. Having social support from family, a partner, and friends can help infertile women cope with a variety of stressors …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 7–12 Read article
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Knowledge and Practices of Mothers Health on Malnutrition Prevention in Under-Five Children at Selected Community Area, Kanpur Nagar
Abstract: Background: Malnutrition is a common concern among children under five years old, particularly during their crucial growth years. Maintaining a nutritious and well-balanced diet is crucial for prevention. Consuming regular meals – such as three smaller meals along with two to three nutritious snacks daily – while ensuring sufficient intake of protein and carbohydrates can help lower the risk of malnutrition. Objectives: To assess mothers’ knowledge regarding malnutrition in children …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 50–62 Read article
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Comparative Analysis of AI-Based Approach vs. Traditional Methods in Climate Modeling
Abstract: Climate modeling helps to predict the future of climate variations and human interference with environment. The traditional General Circulation Models (GCMs) are based on physics-derived mathematical equations but are very expensive in terms of computation. There are alternative ways to perform climate modeling in recent years with the rise and improvement of Artificial Intelligence (AI) based approaches in term of predictability, efficiency, and classification of extreme events compared to conventional. …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 26–32 Read article
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A Study to Assess Effectiveness of Nurse Led Intervention on Knowledge and Attitude Towards Organ Donation Among B.Sc. Nursing 1st Year Students of College of Nursing, PGIMS, Rohtak
Abstract: Introduction: Life begins at birth and ends with death. In between, a person goes through various stages, each accompanied by different health challenges. Body donation is a noble act, and Shankaracharya strongly advocated the concept of organ donation, viewing the body as a means to help others. He believed that death is not the end, but rather a new beginning. Aim: To assess knowledge and attitude towards organ donation among …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 10–40 Read article
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A Relationship Between Resilience and Mental Health Among Covid-19 Survivors
Abstract: In 2020, COVID-19 first appeared in Wuhan, China. Covid-19 affects the world at the global level. This pandemic disrupted lives and communities by having a significant negative impact on people's physical and mental health. Resilience helps individuals to bounce back from the crisis. The study examines the connection between COVID-19 survivors' mental health and resiliency. A sample of 100 people, 50 of whom were men and 50 of whom were …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 1, 2025 · pp. 28–33 Read article
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A Comprehensive Survey on Detection of Video Transitions
Abstract: Video shot boundary detection (SBD) is a fundamental task in the field of video processing and analysis. It plays a critical role in various video applications such as content-based video retrieval, video indexing, editing, summarization, and browsing. Identifying shot boundaries helps segment a continuous video stream into distinct shots, each representing a meaningful visual unit. This segmentation is essential for organizing and interpreting video data efficiently. This study provides an …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 17–26 Read article
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Elderly Healthcare Using Federated Learning Approach
Abstract: The healthcare system for elderly people faces several challenges, which can be addressed using advanced machine learning models. These models can help monitor chronic diseases, detect falls, and provide personalized health recommendations. The study uses comprehensive datasets like MIMIC-III/IV, WESAD, and UCIHAR to explore human movements, device limitations, and the differences in fall occurrences. A detailed review of existing literature discusses current technologies for activity monitoring and fall detection, focusing …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 13–23 Read article