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263 articles for “BAS (score)”
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Effective FPGA Implementation of Comb Filters to Improve Perception of Sensorineural Hearing Impaired
Abstract: AbstractIn this paper, effective method for implementation of comb filter on FPGA platform has been proposed. This work is intended for hearing aid to be used for people suffering from sensorineural hearing loss. The algorithmic implementation on FPGA is intricate during the design process. Here we propose effective and simplified approach for implementation of comb filter with 512 coefficients using Spartan-6 FPGA for dichotic presentation. The design of comb filter …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 15–29 Read article
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Single Case Study on the Effectiveness of Macquarie Injury Management Group (MIMG) Protocol on the Subject of Primary Osteoarthritis of Knee
Abstract: Aim: To check the effectiveness of Macquarie Injury Management Group (MIMG) protocol in subject of primary osteoarthritis of knee. Purpose: Manual therapy has been shown to be an effective treatment for knee osteoarthritis, but it is necessary to evaluate the effectiveness of the MIMG manual therapy technique. However, there is a dearth of literature on the effectiveness of Macquarie injury management group (MIMG) protocol in subject of osteoarthritis of knee. …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 7–12 Read article
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MBSR for Better Health: A Narrative Review
Abstract: Introduction: MBSR is a mindfulness-based intervention created by John Kibbat Zinn in the 1970's using the principles of the Buddhist tradition. Since its creation it has found to be effective in various physiological and psychological issues such as cardiovascular diseases, diabetes, blood pressure, hypertension, anxiety, depression, and other ailments. In this particular narrative review, we screened and selected various studies that observed better physiological and psychological health post the MBSR …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 89–98 Read article
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Interview Preparation System Using AI
Abstract: The automated interview evaluation system leverages artificial intelligence (AI) and natural language processing (NLP) technologies to streamline and enhance the interview process. Through a web-based application built with the Flask framework, the system enables candidates to respond to dynamically loaded interview questions using both text and speech inputs. Questions, managed via a CSV (comma separated values) file for flexibility, are evaluated for similarity to expected answers using the rapid fuzz …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 1, 2025 · pp. 8–13 Read article
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Evaluating the Efficiency of LLMs-SA (Sentiment Analysis) via Social Media Texts
Abstract: Sentiment analysis (SA) is becoming popular in business and scientific communities as the processing of natural language (NLP), computational linguistics, text analytics, image-based processing or video- based processing is used in extracting and mining subjective information in the web, social network, etc. It is able to detect positive, negative or neutral information and can be selected to absorb polarity, sentiments, urgency and goals of mount importance. The majority of the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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Effectiveness of Infrared Therapy in Healing of Episiotomy Wound among Postnatal Mothers at Selected Hospital Panipat, Haryana
Abstract: Pregnancy is a wonderful creation with life’s greatest blessings, dreams and expectation in women’s lives. Pregnancy is a time where a mother is going through a lot of changes both physically and psychologically. Episiotomy is one of the most widely performed surgical procedure at the time of childbirth. As the episiotomy procedure causes perineal pain to mothers, it was considered to be a stressful factor which disrupts the daily activities …
Published in Journal of Nursing Science & Practice · Vol. 11, Issue 2, 2021 · pp. 79–86 Read article
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Timestamp Extraction and Log Classification Using Supervised Machine Learning: A Comparative Study
Abstract: In modern software systems, logs are vital for monitoring application behavior, diagnosing issues, and analyzing performance. Timestamps are especially important for sequencing events, identifying anomalies, and understanding system failures. However, detecting timestamps in logs is challenging due to inconsistent formatting across systems and the presence of timestamp-like strings in non-timestamp fields. Traditional rule-based methods often fail in such cases. This study proposes a supervised machine learning approach to accurately classify …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 26–38 Read article
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Structure based pharmacophore Modelling of compounds against Neurodegenerative disorder – Amyotrophic Lateral sclerosis
Abstract: Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease characterized by the progressive degeneration of motor neurons, leading to muscle dysfunction, paralysis, and eventually death. These diseases are classified as ALS variations because autopsies reveal abnormalities in both upper and lower motor neurons. These disorders account for only 10% of all adult-onset motor neuron disease cases. Despite extensive research efforts, effective therapeutic interventions for ALS remain limited. Structure-based pharmacophore modeling …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 3, 2023 · pp. 1–17 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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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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Review of Health and Safety Hazards in Oil and Gas Industry using HIRA Method
Abstract: Oil and gas industry has various types of hazards such as physical, chemical, biological, ergonomical, psychological. From the annual reports, case studies and research papers of previous years were analyzed for knowing the possible hazards during different activities in oil and gas industries. The result indicates change in control systems can develop healthy and safe environment at work place. Risk assessment is required on a daily basis in the oil …
Published in Journal of Industrial Safety Engineering · Vol. 9, Issue 2, 2022 · pp. 1–5 Read article
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Study to Assess the Compliance of Medical Regimen of End Stage Renal Clients on Hemodialysis in Selected Hospitals of Amritsar Punjab
Abstract: Study was undertaken with purpose to assess the compliance of medical regimen and bio-psychosocial problems of End stage renal clients undergoing hemodialysis. The conceptual framework adopted for the study was based on Rosenstoch’s (1974) and Becker’s (1975) health belief model. A descriptive research design was used to conduct study on 100 end stage renal clients undergoing hemodialysis selected by purposive sampling method from nephrology units of selected hospitals, Amritsar, Punjab. …
Published in Journal of Nursing Science & Practice · Vol. 5, Issue 1, 2015 · pp. 21–28 Read article
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Knowledge and Practice of Nurses on Emergency Triage at Casualty Department of Tikur Anbessa Specialized and St. Paul Referral Hospital, Addis Ababa, Ethiopia: A Cross-sectional Survey
Abstract: The hospital emergency department is one of the most important components of health care delivery system. All patients arriving for emergency care needed to be assessed and classified to prioritize those who have the most urgent medical problems and are in need of an immediate care. There is a consensus that triage is an essential procedure in EDs, and is an effective system for reducing the waiting times and ensuring …
Published in Research and Reviews : A Journal of Immunology · Vol. 6, Issue 1, 2016 · pp. 12–20 Read article
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ML Model Comparison for Sentiment Analysis Across Diverse Datasets
Abstract: Analyzing sentiment is crucial for understanding public opinion on various issues in marketing, politics, and social sciences. This study compares the performance of seven different machine learning algorithms for sentiment classification, focusing on their effectiveness, accuracy, and complexity. The research is conducted on a pre-processed dataset with balanced text samples, utilizing feature extraction methods such as Term Frequency-Inverse Document Frequency (TF-IDF). The performance assessment criteria consist of accuracy, precision, recall, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 26–33 Read article
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Nurses’ Perceived Barriers to Research Utilization in a Selected Hospital at Bangalore
Abstract: Evidence-based nursing (EBN) involves identifying research findings and implementing them in nursing practice to increase the quality of patient care. In recent years, there has been an increasing demand for quality health care. Thus a greater emphasis has been placed on EBN. However, there has been little documentation on the implementation of evidence-based practice (EBP) in Indian scenario. The perceptions of nurses play a significant role in the adoption of …
Published in Journal of Nursing Science & Practice · Vol. 4, Issue 1, 2014 · pp. 14–18 Read article
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Enhancing Nursing Education Through AI-Driven Adaptive Learning Systems
Abstract: The integration of Artificial Intelligence (AI) in nursing education offers significant potential to enhance learning experiences by personalizing education, improving knowledge retention, and developing clinical competencies. This study evaluates the effectiveness of AI-driven adaptive learning systems compared to traditional lecture-based teaching methods in nursing education. A mixed-methods approach was used, with 200 nursing students participating in a quasi-experimental design. The intervention group (100 students) used AI-powered adaptive learning platforms for …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 · pp. 29–34 Read article
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Effectiveness of Foot Massage on Pain among Patients Who Underwent Abdominal Surgery
Abstract: AbstractPain after surgery is common, normal and to be expected. Steps can be taken to minimize or eliminate pain, but pain that gets worse, especially if other symptoms are present, can be a sign of a surgical complication. Patients routinely report mild to moderate pain even though pain medications have been administered. Complimentary strategies based on sound research findings are needed to supplement pharmacological management. Foot massage has the potential …
Published in Journal of Nursing Science & Practice · Vol. 7, Issue 3, 2017 · pp. 29–32 Read article
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Coronary Risk Reduction Discharge Training Programme (CRR-DTP) on Selfcare Behaviour Among Patients with Percutaneous Coronary Intervention (PCI): A Randomized Controlled Trial
Abstract: AbstractObjective: The study was conducted with an objective to assess the effectiveness of coronary risk reduction discharge training programme (CRR-DTP) on self-care behaviour among patients with percutaneous coronary intervention (PCI). Methods: A randomized control trial was conducted in Jan 2017 in HDHI, Ludhiana. 60 patients were selected on the basis of convenience sampling technique and randomly allocated to experimental (30) and control group (30). Coronary risk reduction discharge training programme …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 9, Issue 2, 2020 · pp. 41–49 Read article
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IoT-Enabled Monitoring of AC Condensate Water for Quality Assessment and Early Detection of HVAC System Health
Abstract: The shortage of water and expensive reactive maintenance of HVAC are major problems in the modern building management. The paper introduces an Internet of Things (IoT)-enabled air conditioning (AC) condensate to water resource (predictive maintenance) and sustainable water reuse. The nature of our approach defines the quality of the condensate water at the baseline and indicates that it contains low levels of total dissolved solids (TDS) and has almost neutral …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 25–35 Read article
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Prevalence of Lower back pain in a sample population of Musculo-skeletal disorders - Cross sectional community based study
Abstract: Musculoskeletal Disorders (MSD) is a global term for several types of disorders affecting the body’s joints, ligaments, muscles, nerves, tendons and structures that support limbs, neck and back. Low back pain (LBP) is most common musculoskeletal disorder defined as pain and discomfort, localised below the costal margin and above the inferior gluteal folds, with or without referred leg pain.LBP is one of the most common conditions encountered in clinical medicine.LBP …
Published in Research and Reviews: A Journal of Medicine · Vol. 11, Issue 2, 2021 · pp. 38–44 Read article