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775 articles for “experimental method”
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Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models
Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 Read article
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Effect of Lyngbya Confervoides on Children’s Growth
Abstract: Background: The Lyngbya Confervoides grow naturally in a seaside of our country It is one kind of Blue-green alga that is being used for cure of some diseases because it has various significant nutrients such as essential aminoacids, minerals, pigments Methods: The contents of total protein, essential amino acids, minerals and vitamins of Lyngbya Confervoides that is collected in summer were measured. It was examined the effectiveness of the Lyngbya …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 2, 2024 · pp. 01–05 Read article
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Hybrid Quantum-Classical Reinforcement Learning Enabled Thermal-Aware Electronic Design Automation Framework for Energy-Efficient Next-Generation VLSI Systems Applications
Abstract: Modern Very Large-Scale Integration (VLSI) systems are becoming more complicated, which has increased need for sophisticated Electronic Design Automation (EDA) frameworks that can concurrently optimise thermal behaviour, power consumption, and performance. This study proposes a Hybrid Quantum-Classical Reinforcement Learning (HQCRL) Enabled Thermal-Aware EDA Framework for next-generation energy- efficient VLSI systems. The proposed framework integrates quantum-inspired optimization techniques with classical reinforcement learning algorithms to address the challenges of placement, routing, and …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 · pp. 10–22 Read article
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A Study on Efficacy of Movement with Mobilization Versus Graded Oscillatory Technique in the Management of Pain and Shoulder Function Among Shoulder Impingement Subjects
Abstract: Many conditions affecting shoulder which includes rotator cuff tear, frozen shoulder, shoulder instability, bursitis and shoulder impingement. Impingement usually refers to compression and mechanical aberration of the rotator cuff tendon, subacromial bursa, or long head of biceps tendon beneath the anterior under surface of the acromion, coracoacromial ligament or under surface of the acromioclavicular joint during elevation of arm. Another possible mechanism of impinge can be attributed to intrinsic breakdown …
Published in Research and Reviews : Journal of Computational Biology · Vol. 6, Issue 3, 2017 · pp. 20–35 Read article
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A non experimental descriptive study to assess the Support of Husbands to their wives with pregnancy induced hypertension during antenatal Period attending antenatal outpatient department, at selected hospitals, in Pattukkottai, at Tanjore district
Abstract: AbstractBackground: Pregnancy is one of the most precious and joyful moment in every couple’s married life but not all of them undergoes a period of joyful overcoming due to the risks being developed during the period of pregnancy. To some extent, the pregnant women get support from the spouses and their family but not all the pregnant women get this privilege of support. Moreover, antenatal women with pregnancy induced hypertension …
Published in Research and Reviews: A Journal of Health Professions · Vol. 10, Issue 2, 2020 · pp. 1–4 Read article
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An Overview of Examination of Some Basic Raw Materials for Adsorbent on Approach of Pollutant Mitigation and Treatment
Abstract: This research showcases the basic parameters that are required to produce bio-adsorbent suitable for adsorption process and their important role on treatment of contaminated water environment. The overview of the physicochemical parameters of the raw materials used for the production of the adsorbents, the particle size and the mix ratio were identified as a contributing factor to the rate of contaminants mitigation in the system. The effect of water pollution …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 01–16 Read article
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Effectiveness of Nursing Interventional Program on Growth and Development of Under Five Children among Mothers in Selected Paediatric Hospitals
Abstract: Children constitute the most important segment of our population. They are truly the foundation of a nation. Every child should be allowed to achieve his optimal growth and developmental potential, so that he can effectively contribute towards the nation’s productivity. The future of our nation depends on the way in which we nurture our children today. We have to provide every child with a happy childhood and basic necessities along …
Published in Journal of Nursing Science & Practice · Vol. 7, Issue 2, 2017 · pp. 8–13 Read article
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Experimental Investigation and Surface Morphology Study on Areca Fiber Composite Material
Abstract: Composites manufactured from areca fibers had their characteristics assessed in recent research. Shape and size were determined by cutting the stem. It takes six months to dry the fibers once they are taken from the tree stem. Because pectin, cellulose, hemicellulose, and lignin make up the bulk of it. It has great regeneration capacity and is a resource material made of wood fibers. The untreated and chemically treated fibers are …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 459–468 Read article
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Stiff Person Syndrome: Advances in Understanding, Diagnosis, and Treatment of a Rare Autoimmune Disorder
Abstract: Stiff Person Syndrome (SPS) is a rare and complex autoimmune neurological disorder characterized by progressive muscle stiffness, rigidity, and painful spasms. This chapter provides a comprehensive overview of SPS, exploring its pathophysiology, clinical presentation, diagnostic challenges, and current treatment approaches. We discuss the latest research findings, including the role of autoantibodies, genetic factors, and environmental triggers in the development of SPS. The chapter examines various diagnostic methods, emphasizing the importance …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 35–43 Read article
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Effectiveness of an Intervention on Nurse’s and Caregiver’s Knowledge and Practices Regarding Chemotherapy Induced Neutropenic Complications: A Cluster Randomized Controlled Trial
Abstract: Abstract Objective: To assess the effectiveness of an intervention on knowledge and practices of nurses and caregivers regarding chemotherapy induced neutropenic complications. Methods: A total of 51 nurses and 105 patients and their caregivers were enrolled in the study using cluster randomization. 27 nurses and 51 patient’s and their caregiver’s were enrolled in control group from radiotherapy department and 24 nurses and 54 each patients and their caregivers were enrolled …
Published in Research and Reviews : A Journal of Immunology · Vol. 10, Issue 2, 2020 · pp. 18–24 Read article
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A Study to Assess the Effectiveness of a Planned Teaching Programme on Knowledge Regarding Current Trends and Issue in Obstetrical and Gynaecological Nursing Among Students of 3rd Year GNM of M.M. Singhi Institute of Nursing, Ahmedabad
Abstract: Nursing is regarded one of the oldest arts, despite being one of the youngest professions. Nursing techniques for newer and newest therapies, such as an infant care, pain management, client education and other interventions cannot be possible without fresh understanding. Research studies on current trends and issues in obstetrics and gynaecological nursing improve maternal and foetal health outcome. The study objectives were to assess the knowledge regarding current trends and …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 29–34 Read article
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Quantitative Image-Based Assessment of Degradation Patterns in Polymer-Based Medical Implants
Abstract: Polymer-based medical devices are widely used in clinical practice, where long-term material degradation can compromise performance and patient safety. Traditional polymer degradation studies predominantly rely on laboratory-based experiments, which often fail to capture real-world operational and usage conditions. In this study, a multimodal, data-driven framework is proposed for the quantitative assessment of degradation patterns in polymer-based medical devices using publicly available clinical failure data. Structured operational parameters, including cumulative usage …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1510–1518 Read article
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Using digital holographic interferometry to monitor symmetrical temperature fields in liquids and an interference technique for simultaneous heat and mass transfer
Abstract: In this work, we offer a technique for off-axis digital holographic interferometry to measure dynamic temperature change quantitatively in real-time and visualise volumetric temperature fields formed by a 2D axial-symmetric heated fluid from a pulsatile jet in a water tank. For the experimental examination, a portable Mach-Zehnder interferometer was constructed. The pulsatile jet was supplied with hotter water and submerged in a tank of water. Results that have been averaged, …
Published in Journal of Experimental & Applied Mechanics · Vol. 13, Issue 2, 2022 · pp. 22–26 Read article
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Different Ways to Maximize Electric Vehicle’s Battery Life
Abstract: This study examines alternative strategies for extending the battery life of electric vehicles (EVs). Enhancing the performance and endurance of batteries has been a crucial research area due to the rise in popularity of electric vehicles (EVs) in recent years and the growing concern about environmental issues. The significance of battery management systems (BMS), which can optimise charging and discharging cycles, and the effect of driving style on battery life …
Published in Journal of Power Electronics and Power Systems · Vol. 13, Issue 1, 2023 · pp. 44–49 Read article
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Experimental Investigation of Micro-Hardness & Tribological Behavior of Composite Coating for Wear Resistance Application
Abstract: The author effectively created a composite coating with enhanced durability utilizing the HVOF technique in this investigation. The automobile business has encountered fierce worldwide rivalry, rapid technical breakthroughs, and strict regulatory regulations in recent year.. Producers of lubricants, gasoline additives, and worldwide original equipment manufacturers (OEMs) are striving to address the difficulties presented by changing consumer preferences and emerging energy conservation and environmental protection regulations. We have successfully created and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1097–1103 Read article
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Experimental Investigation and Analysis of Dry EDM process for Material Removal Rate and Tool Wear Rate
Abstract: The importance of Electrical Discharge Machining process is increasing, especially for the machining of electric conductive ceramic materials. EDM is particularly ideal due of its thermal operating principle, which allows for almost force-free machining. The effect of air on the machining characteristics of the dry electrical discharge machining (EDM) process is investigated in this study. Researchers regard dry electrical discharge machining to be an environmentally benign machining process, and many …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 1, 2022 · pp. 36–44 Read article
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Evaluating the Impact of the Valsalva Maneuver on Pain Relief During Intravenous Cannulation in Patients at Selected Hospitals in Tirupati, Andhra Pradesh
Abstract: Pain can be defined as an unpleasant tactile sensation, arousing sensory experience, and an emotional response that is linked to any type of tissue, cell, or skin damage. Pain is a very common and a primary reason for which people seek health care. Among all the non-pharmacological methods for pain relieving, the Valsalva maneuver is one of the methods which is found effective in reducing the level of pain a …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article
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AI-Powered Emotion Recognition in Dog
Abstract: Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being. Inspired by previous research that utilized a modified EfficientNetB5 model for emotion classification in cats and dogs, our study builds upon this foundation with a focus on real-time emotion recognition in dogs. While earlier approaches achieved high accuracy using Dense Residual and Squeeze-and-Excitation blocks, they often lacked real-time applicability and were not optimized for …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 20–32 Read article
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Review Article on Biomedical Lubricant Hydrogels as Cartilage Substitutes
Abstract: This article underscores the increasing popularity of hydrogel lubricants in the biomedical domain and presents a comprehensive exploration of their potential as substitutes for cartilage. This understanding forms the foundation for the development of hydrogel-based lubricants that are designed to emulate these natural functionalities. Providing detailed insights, this article navigates through cutting-edge bio-inspired architecture techniques tailored to create hydrogels for cartilage. The emphasis is on achieving superior strength through diverse …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 1, 2024 · pp. 35–48 Read article
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The Role of Optimization and Probability in Shaping Artificial Intelligence
Abstract: This study discusses the basic roles of optimization algorithms and the theory of probability in the process of evolution and development of Artificial intelligence (AI). First, we introduce the role played by the next generation of leading-edge optimization algorithms developed since gradient descent to evolutionary strategies with respect to the learning of high-level AI models and how to enable them to learn to effectively explore high-dimensional parameter spaces. At the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 123–128 Read article