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263 articles for “BAS (score)”
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Real-Time Crack Detection in Polymer Composites Using Embedded IoT Sensor Networks
Abstract: This study developed an embedded Internet of Things sensor network for real-time crack detection, localization, and severity assessment in glass–fiber-reinforced polymer composites. Four polyvinylidene fluoride sensors were embedded near the laminate mid-plane and connected to synchronized wireless acquisition nodes. Controlled low-velocity impacts generated graded damage states. Ultrasonic C-scan and optical microscopy provided independent labels. A compact multi-channel convolutional model processed normalized waveforms, spectral entropy, signal energy, and arrival-time differences at …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 866–899 Read article
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In-silico Approach of Few Selected Phytoconstituents on Newer Cancer Targets
Abstract: Background: Cancer’s high death rates are mainly due to, drug resistance and unmet medical demands. It necessitates novel anticancer medications. AI tools aid in efficient and faster drug discovery by analyzing data, modeling processes and optimizing pipeline stages. Aim: The aim of this present study is to evaluate phytoconstituents against novel and newer cancer targets. Methodology: The ligands Daidzein, Resveratrol and Genistein were targeted against the Glutamate dehydrogenase (PDB ID …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 12–17 Read article
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A Study to Assess the Effectiveness of Self-Instructional Module on Knowledge of Electrocardiogram Among Staff Nurse in a Selected Hospital in Mahagaon
Abstract: Objectives: This study aimed to evaluate the staff nurses' knowledge of electrocardiograms (ECG) and to determine the impact of a structured teaching program in improving their understanding of the subject. Methodology: An evaluative research design was employed for this study. The study involved 22 staff nurses chosen through simple random sampling and was carried out at Sant Gajanan Maharaj Rural Hospital, Mahagaon. A structured knowledge questionnaire was used to gather …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 7–27 Read article
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Continuous Thoracic Epidural Infusion: A Comparative Study of Fentanyl and Ropivacaine V/S Fentanyl and Bupivacaine in Upper Abdominal Surgery for Postoperative Analgesia
Abstract: To measure and compare the efficacy of analgesia with the both techniques with measurement of changes in hemodynamics, respiratory rate, and SPO2 with the two techniques and to compare their side effects and evaluate the patient’s satisfaction. The random selection of patients was allocated in two groups. Each group consist of 25ASA group I–II patients. Infusion was given at the rate of 0.1 ml/kg/h. Group RF: continuous thoracic epidural infusion …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 3, Issue 2, 2014 · pp. 1–10 Read article
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RoseRAG-Based Clinical Decision Support System for Precision Medication Safety
Abstract: Medication-related errors remain a major challenge in healthcare, contributing to adverse drug events, increased hospitalization rates, and substantial healthcare costs. Conventional Clinical Decision Support Systems (CDSS) primarily rely on rule-based mechanisms for identifying drug-related problems (DRPs), including drug–drug interactions, contraindications, dosing errors, therapeutic duplication, and medication omissions. Although effective in structured environments, these systems frequently generate excessive context-insensitive alerts, leading to alert fatigue and reduced clinical acceptance. Recent developments in …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Human Activity Recognition Using For Smartphone Sensors To Predict The Best Accuracy Based On Machine Learning Algorithms
Abstract: Human activity recognition requires predicting the action of a person based on sensor-generated data. Due to the enormous number of applications possible by modern ubiquitous computing devices, it has sparked a lot of attention in recent years. It categorizes data into actions such as walking, sitting, standing, and lying. The accelerometer and gyroscope were used to generate the sensor data, and the sensor signals were pre-processed with noise filters. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 12–23 Read article
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Relationship of Modified Expanded Time Up and Go with Function and Balance in Subjects with Knee Osteoarthritis: An Obsevational Study
Abstract: Purpose of studies is to find out the relationship of ETUG with balance and function in knee Osteoarthritis subjects. An observational study. Participants were selected from different health care centers in Dehradun and Rudrapur. A total of 30 subjects were recruited for the study on the basis of inclusion and exclusion criteria after signing the informed consent form. WOMAC scale, ETUG scale, FSST. The present study indicates that there is …
Published in Research and Reviews: A Journal of Health Professions · Vol. 4, Issue 2, 2014 · pp. 19–26 Read article
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AI Based Dental Care Solution System
Abstract: The AI-Based Dental Care Solution System is a web-based healthcare application developed using the MERN stack (MongoDB, Express. js, React.js, and Node.js) and integrated with Artificial Intelligence techniques to support early and accessible dental self-assessment. The system assists users in preliminary dental consultation by collecting symptoms such as tooth pain, sensitivity, swelling, bleeding gums, and bad breath through both structured forms and a conversational chatbot interface. Using Natural Language Processing …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 2, 2026 Read article
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Investigating The Alkalizing Potential of Chandanasava For Restoring Acid-Base Homeostasis in Renal Tubular Acidosis: A Computational and In Silico Pharmacological Study
Abstract: Chandanasava, a traditional Ayurvedic formulation, is recognized for its potential alkalizing properties, which may help restore acid-base homeostasis in conditions such as renal tubular acidosis (RTA). This study aims to investigate the active components of Chandanasava and their interactions with key renal target proteins, Pendrin and Carbonic Anhydrase II, which are essential for maintaining acid-base balance. An in silico approach was utilized to explore the pharmacological potential of the phytochemicals …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 28–52 Read article
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Statistical Models for Predicting Genetic Variability and Disease Susceptibility
Abstract: Differences in genetics are key to understanding why some individuals are more prone to certain diseases than others. Recent advancements in genomic research, combined with statistical modeling techniques, have made significant strides in predicting disease risk based on genetic factors. This review explores the application of statistical models for predicting genetic variability and their role in disease susceptibility. We discuss traditional methods like linear regression and genome-wide association studies (GWAS), …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 30–34 Read article
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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 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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A Study to Assess the Effectiveness of Lecture-Cum-Demonstration on Knowledge and Practice Regarding Biomedical Waste Management Among Allied Health Science Students at GIMS, Gadag
Abstract: Background: Biomedical waste management is a critical aspect of healthcare practice, and inadequate knowledge and poor handling can pose serious risks to health professionals, patients, and the environment. Allied Health Science students, as future healthcare providers, must be well-versed in the principles and practices of biomedical waste management. This study aims to assess the effectiveness of a lecture-cum-demonstration program on improving knowledge and practice related to biomedical waste management among …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 27–53 Read article
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Assessment of Fire Safety Measures in Multi-functional High-rise Structures for Enhanced Fire Protection
Abstract: The complex nature of multiple-use high-rise buildings poses significant challenges for ensuring fire protection, given their functional diversity, intricate design, and substantial economic value. This study aims to assess the effectiveness of the physical fire protection systems installed in fourteen randomly chosen commercial high-rise buildings located in Indore. The primary focus is on optimizing these systems within the framework of industrial safety engineering principles. Various methods were employed, including physical …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 3, 2023 · pp. 25–34 Read article
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Effectiveness of An Awareness Program Related to Evidence-based Practices in Nursing on Knowledge and Attitude Among Staff Nurses in a Selected Hospital of Delhi: A Quasi-Experimental Study
Abstract: Evidence-based practice (EBP) is now considered a standard of care and essential to nurses. The current experimental pretest-posttest designed study was conducted to assess the effectiveness of an awareness program on EBP for staff nurses. There was a significant increase in knowledge and attitude scores of 15 staff nurses after the administration of an awareness program on EBP.
Published in Journal of Nursing Science & Practice · Vol. 5, Issue 3, 2015 · pp. 19–21 Read article
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Evaluating the Effects of Self-Care Practices on Dermatology Patients at Sharda University Hospital
Abstract: Self-care is the ability of individuals, families and communities to promote their own health, prevent disease, maintain health, and to cope with illness with or without the support of a health or care worker." (WHO, 2020) This study looked into the demographics and self-care activities of patients who visited the Dermatology Department at Sharda Hospital. A descriptive survey design was used, with 50 participants aged 18-45 years selected using convenience …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 2, 2025 Read article
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Assessing the Effectiveness of an Educational Intervention on Organ Donation Awareness Among Undergraduate Students
Abstract: Organ donation continues to be critically low in India despite a growing demand for transplantable organs. Limited awareness, misconceptions, and negative perceptions contribute significantly to this gap. This study was conducted to evaluate the impact of an informational booklet on enhancing knowledge and shaping perceptions about organ donation among undergraduate students. A pre-experimental design with a one-group pretest–posttest approach was used, including 60 students selected through convenience sampling. Initially, participants’ …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 5–9 Read article
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An Evaluation of the Impact of Video-assisted Teaching on School Children's Knowledge of Safe and Unsafe Touch in Selected Schools of Bangalore
Abstract: The aim of the research was to educate school-aged children about the concepts of good touch and bad touch, enabling them to protect themselves in potentially harmful situations. A quantitative research method was employed using a pre-experimental, one-group pre-test post-test design. This approach was used to evaluate the effectiveness of a video-assisted teaching program on this subject. The study included 70 school children from selected schools in Bangalore, chosen through …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 · pp. 1–8 Read article
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An Experimental Study to Assess the Effectiveness of Valsalva Maneuver Prior to Intravenous Cannulation on Pain Perception among Patients Undergoing Venous Cannulation at HAHC Hospital in Delhi
Abstract: An experimental study was done to assess the effectiveness of valsalva maneuver prior to IV cannulation on pain perception among patients undergoing venous cannulation at HAHC hospital in Delhi. The objectives of the study were to assess the level of pain during IV cannulation among the experimental group, to assess the level of pain during IV cannulation among the control group, to compare the level of pain during IV cannulation …
Published in Research and Reviews : Journal of Surgery · Vol. 5, Issue 2, 2016 · pp. 1–6 Read article
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A IoT-Enabled Predictive Intelligence for Real-Time Failure and Damage Evolution Monitoring of Polymer Composites
Abstract: Damage assessment of carbon-fibre-reinforced polymer composites is still challenging since the damage occurs as a combination of matrix cracking, interfacial debonding, delamination and fibre fracture. The present work proposes a framework for predictive-intelligence based on IoT for multiaxial fatigue and compression-after-impact (CAI) CFRP experiments, employing publicly available acoustic-emission (AE) datasets. A causal CNN–GRU attention model is developed by integrating time-domain, spectral, wavelet, loading-history and trend features to estimate the damage …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article