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1975 articles for “experimentation” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Effectiveness of Assertiveness Training Programme on Knowledge and Attitude of Adolescent Girls Regarding Prevention of Sexual Abuse
Abstract: Introduction: Sexual violence against girls is a global human rights violation of vastproportion with severe health and social consequences. In this view, a pre experimental studywas conducted to assess the effectiveness of Assertiveness Training Programme (ATP) on theknowledge and attitude of adolescents regarding prevention of sexual abuse. The objectives ofthe study were to develop and assess the effectiveness of ATP in terms of gain in knowledgeand attitude for adolescent girls …
Published in Journal of Nursing Science & Practice · Vol. 10, Issue 2, 2020 · pp. 57–61 Read article
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The Effectiveness of Curry Leaves in Reducing the Blood Glucose Level in Subjects with Type-2 Diabetes Mellitus
Abstract: Type 2 diabetes mellitus occur when body is unable to resist insulin normal effect on cells which is called as insulin resistance. A pre experimental study was conducted to see effectiveness of curry leaves in decreasing the blood glucose level among subjects with diabetes mellitus type 2. The objectives of study were; (1) To assess the blood glucose level among subjects with diabetes mellitus type 2. (2) To see the …
Published in Journal of Nursing Science & Practice · Vol. 12, Issue 2, 2022 · pp. 26–31 Read article
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Effect of Participatory Eye Care by Amelioration in Reducing Digital Eye Strain Among Computer Users in GNSU
Abstract: The prevalence of ocular complaints has grown along with the use of electronic devices in the twenty-first century of digital communication. Regular practice of eye exercise like integrated eye-neck exercises are found to be useful in relieving the eye discomfort and also improving the visual acuity. This study is to assess the effect of participatory eye care by amelioration in reducing digital eye strain among computer users in Gopal Narayan …
Published in Journal of Nursing Science & Practice · Vol. 13, Issue 1, 2023 · pp. 39–57 Read article
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Effectiveness of Respiratory Care Bundle on the Pulmonary Function Test Measurement and Respiratory Distress Parameters among Patients with Respiratory Problems Admitted at MM Institute of Medical Sciences Research and Hospital
Abstract: The objective of the study was to assess the effectiveness of respiratory care bundle on the pulmonary function test measurement and Respiratory distress parameters among patients with respiratory problems. A Quasi experimental study was conducted on patients with respiratory problems (n=60) at MMIMSR and Hospital, who were divided into two groups; experimental and control group. The data was collected by peak flow meter, respiratory distress parameters performa and semantic differential …
Published in Research and Reviews: A Journal of Medicine · Vol. 4, Issue 3, 2014 · pp. 5–8 Read article
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Technology-Enhanced Learning (TEL) on Breastfeeding among Primigravida Mothers
Abstract: The objective of the study was to evaluate the effectiveness of Technology-Enhanced Learning (TEL) on knowledge of primigravida mothers regarding breastfeeding. Experimental study was conducted on sixty primigravida mothers; divided into experimental and control group. The data was collected by structured knowledge questionnaire (SKQ). There was statistically significant difference (p<0.05) between the two groups in terms of knowledge after administration of TEL. Thus, it can be inferred that TEL regarding …
Published in Research and Reviews: A Journal of Medicine · Vol. 5, Issue 2, 2015 · pp. 19–23 Read article
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Histological and Functional Effect of Melatonin on Reproductive System
Abstract: Many experimental studies reported that melatonin has shown to induce reproductive toxicity. The purpose of this review is to discuss the evidence regarding the toxic effect of melatonin on the reproductive system and its possible mechanism of toxicity. Literature included in thisreview showed that an extrinsic dose of melatonin inducespharmaceutical, biochemical and physiological effects on the mammalian reproductive function. Empirical and histological examination of melatonin exposure on reproductive function has …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 9, Issue 1, 2020 · pp. 16–23 Read article
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Production and Characterization of Cardanol Based Schiff Complexes and their Biological Significance
Abstract: Synthesis and analysis of cardanol consisted Schiff base ligand along with its complexes such as Cu, Co and Ni are considered as a novel tetradentate cardanol contained Schiff base ligand molecules for various biological effects. It is prepared by the condensation reaction of 2-aminophenol and di-α formylmethoxybis (3-pentadecenyl phenyl) methane which is termed as DFMPM in the molar ratio of 2:1. The characterization of the experimental compounds is done with …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 9, Issue 2, 2019 · pp. 19–24 Read article
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Protective Role of Sulforaphane against Multiorgan Toxicity in Rats: An In-vivo and In-vitro Review Study
Abstract: Sulforaphane [1-isothiocyanate-(4R) -(methylsulfinyl) butane] is a natural dietary isothiocyanate produced by the enzymatic accomplishment of the myrosinase on glucopharanin, a 4-methylsulfinylbutyl glucosinolate contained in cruciferous vegetables such as broccoli, brussel sprouts, and cabbage. Exploring of this compound against various oxidative degenerative diseases such as hepatic, nephro and cardiac diseases is growing because of its anticarcinogenic and cytoprotective properties. In several invivo and invitro experimental paradigms proved SFN and its compounds …
Published in Research and Reviews: A Journal of Toxicology · Vol. 8, Issue 1, 2018 · pp. 1–8 Read article
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Integrated engineering on design, development and operation of a Table Top Tokamak for Plasma experiments
Abstract: Making of a Table Top Tokamak is having the acute need for conducting various plasma experimental studies. As pulsed devices, small tokamaks come as handy solutions for plasma experimentalists to study the characteristic behavior of plasma at various operating conditions. In addition, it is a challenge to build a Tokamak from its conceptual design. In this paper, details are brought out for a single mode approach that is required to …
Published in Trends in Machine design · Vol. 5, Issue 2, 2018 · pp. 54–62 Read article
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Design and Development of Extruder for Plastic Wastes
Abstract: Plastic waste has become one of the most significant environmental challenges due to its widespread use, non-biodegradable nature, and increasing accumulation in landfills and water bodies. The rapid growth in plastic consumption has created an urgent need for effective recycling technologies that can reduce environmental pollution while recovering valuable materials. Among the various recycling techniques, extrusion is considered an efficient and economical method for converting plastic waste into reusable products. …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 2, 2026 Read article
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Physics-Informed Neural Networks for Multiphysics Analysis of Biomedical Polymer Composite Systems
Abstract: Physics-Informed Neural Networks (PINNs) offer an effective model of solving coupled multiphysics equations in biomedical polymer composite systems, which are data-driven. In the given work, the PINN method is presented where equations of elasticity, mass diffusion, and heat transfer are integrated to model the complex processes that take place in composite biomaterials. The neural network loss is specified to include the governing partial different equations which enables both the system …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Data-Driven Design Framework for Biofunctional Polymer Composite Materials
Abstract: This paper introduces a knowledge-based design platform of biofunctional polymer composite substances through the combination of machine learning, materials informatics, and digital twins applications. The framework allows the effortless forecasting and maximization of mechanical, biological and degradation characteristics based on supervised, unsupervised and deep learning models. A materials database is accompanied by the AI algorithms to find the best material compositions and microstructure-property relationships. Experimental validation proves to be more …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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AI-Optimized Biodegradable Polymer Composites for Medical Applications
Abstract: The value of biodegradable polymer composites in the medical practice has been massive as the composites may be deployed to provide temporary structural support, and they are also safe to degrade within the human body. However, the conventional material design process is trial and error, which is ineffective and inefficient. The article proposes a hybrid model involving experimental characterization, as well as an artificial intelligence (AI)-based model, to optimize biodegradable …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Investigation of Areca Stem and Banana Stem fibre Hybrid Composites for Improved Strength and Sustainable Applications
Abstract: Research on natural fibre reinforced polymer composites as eco-friendly substitutes for traditional synthetic composites has intensified due to growing need for sustainable engineering materials. This work used the Taguchi L9 orthogonal array to experimentally examine and optimize the mechanical behaviour of hybrid epoxy composites reinforced with areca and banana fibres. The impacts of epoxy matrix composition, areca and banana fibre content on the composite’s tensile strength, impact strength, flexural strength, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Integrated Computational and Bio-catalytic Transformations: DFT-Guided Mechanistic Insights, Machine Learning, and Nano-biocatalyst Engineering for Sustainable Catalysis
Abstract: Computational catalysis has emerged as a transformative scientific discipline that integrates quantum chemistry, molecular modeling, machine learning, and density functional theory (DFT) to understand catalytic mechanisms and design highly efficient catalytic systems for sustainable industrial applications. The increasing global demand for environmentally responsible chemical manufacturing has accelerated research on advanced catalytic materials including transition metal catalysts, metal–organic frameworks (MOFs), homogeneous catalysts, heterogeneous systems, and bimetallic catalysts involving nickel and iron. …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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Machine Learning-Based Structure–Property Quantification of Advanced Polymer Composites
Abstract: Advanced polymer composites are widely used in high-performance engineering due to their superior mechanical and multifunctional properties. Accurate structure–property quantification is essential for efficient material design and reducing experimental costs. Existing Machine Learning (ML) approaches often exhibit limited predictive generalization due to inadequate feature discrimination and suboptimal hyperparameter tuning. To address these limitations, the proposed method enhances the ability to capture the complex nonlinear interactions among composite structural descriptors. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Triboelectric Charge Density Enhancement in Zinc Oxide Decorated Polymer Nanogenerators for Energy Harvesting Systems
Abstract: The growing need for wearable electronics, wireless sensor networks, and IoT devices has pushed research on triboelectric nanogenerator for long-term energy harvesting. However, traditional polymer-based TENGs' low triboelectric charge density restricts their energy conversion efficiency and practical performance. This research presents a zinc oxide (ZnO)-decorated polymer triboelectric nanogenerator designed to enhance surface charge density and improve electrical output. ZnO nanoparticles were synthesized using a hydrothermal method and uniformly deposited onto …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Durability study of flyash induced polypropylene fiber reinforced concrete
Abstract: The need for sustainable and durable construction materials has led to the use of supplementary cementitious materials and synthetic fibers in concrete. The use of fly ash and polypropylene fibers (PPF) could improve the mechanical properties and durability of the concrete while also reducing the environmental impact of concrete production. Flyash and fibres are the recognised replacement which can add to the unique properties to the Portland cement, The use …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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AI-Optimized Nano-Silica Reinforced PCM Composites for Predictive Solar-Thermal Energy Storage Networks
Abstract: This study presents an AI-optimized nano-silica reinforced polymer composite phase change material (PCM) for predictive solar-thermal energy storage networks. The proposed composite combines paraffin wax, high-density polyethylene (HDPE), and uniformly dispersed nano-silica particles to improve thermal conductivity, structural stability, leakage resistance, and long-term cycling performance. The composite was fabricated through melt blending and ultrasonication-assisted nanoparticle dispersion, followed by comprehensive morphological, chemical, thermal, and thermophysical characterization using scanning electron microscopy (SEM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Role of Artificial Intelligence in Quantum Materials Research
Abstract: Quantum materials have emerged as a transformative class of advanced materials due to their extraordinary electronic, magnetic, optical, and topological properties governed by quantum mechanical phenomena. These materials are expected to revolutionize next-generation technologies such as quantum computing, spintronics, superconducting electronics, nanoelectronics, intelligent sensing systems, and energy-efficient devices. However, conventional methods for discovering and optimizing quantum materials are often expensive, time-consuming, and computationally intensive because of the enormous complexity of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 · pp. 13–27 Read article