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210 articles for “experimental validation”
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A Study to Assess the Knowledge and Practice Regarding Prevention of TB Among Staff Nurses Working in a Selected TB Hospital at Jodhpur
Abstract: Tuberculosis (TB) remains a major global public health concern, causing significant morbidity and mortality, particularly among healthcare workers. Staff nurses are at heightened risk due to repeated exposure to patients with active TB, making knowledge and adherence to preventive practices critical. The present study was conducted to evaluate the knowledge and practices of staff nurses concerning tuberculosis (TB) prevention at Kamla Nehru TB and Chest Hospital, Jodhpur. A descriptive and …
Published in International Journal of Community Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 7–33 Read article
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Experimental Assessment and Statistical Argument of Al-Si/CSA/MoS2 Hybrid Composites for Mechanical and Tribological Characteristics
Abstract: To augment the mechanical and tribological properties of Al-Si matrix composites complement with molybdenum disulphide (MoS₂) and coconut shell ash (CSA), a mixed experimental and Face-Centered Composite (FCC)strategy was employed. A liquid metallurgical method called stir casting was used to create hybrid composites with 5–15 wt.% CSA and 1–3 wt.% MoS₂. A FCC experimental design with thirty runs was used to thoroughly evaluate the materials. This design allowed for the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 792–802 Read article
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ML-Driven Defect Detection in Additive Manufacturing of Polymer Composites Using Thermal Imaging
Abstract: Polymer-based flexible biosensors have emerged as a pivotal technology in continuous health monitoring, yet their deployment in real-world settings is often hindered by undetected micro-defects and signal distortion caused during fabrication or usage. Existing diagnostic frameworks typically rely on post-hoc processing or bulky instrumentation, failing to offer scalable, real-time detection during additive manufacturing workflows. This study introduces an end-to-end, thermographic imaging-integrated framework for in-situ defect identification during the additive manufacturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 201–215 Read article
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Effect of the Integrated Approach to Yoga Therapy on Stress-Related Anxiety Disorder of a Roller Skater
Abstract: Anxiety and stress are common problems for competitive skaters, which frequently impairs their performance and general health. The Integrated Approach to Yoga Therapy (IAYT) offers a holistic intervention, addressing the physical, mental, and emotional dimensions of health. This study investigates the impact of IAYT on stress-related anxiety disorders in skaters, incorporating yoga postures (asanas), breathing techniques (pranayama), meditation, and relaxation practices. An 8-week intervention was conducted with 30 competitive skaters …
Published in Recent Trends in Sports · Vol. 2, Issue 1, 2025 · pp. 7–13 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article
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Solanum viarum Dunal: Ethnomedicinal Importance, Phytochemical Profile and Pharmacological Potential — A Comprehensive Review
Abstract: Solanum viarum Dunal, commonly known as tropical soda apple or Sodom apple, is a medicinally important plant belonging to the family Solanaceae. The plant has been widely utilized in traditional medicine systems for the treatment of fever, cough, skin disorders, inflammation, gastrointestinal ailments, and microbial infections. The present review comprehensively summarizes the ethnomedicinal importance, phytochemical profile, pharmacological activities, and pharmaceutical significance of S. viarum. Literature reports indicate that the plant …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 3, 2026 Read article
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Au@Sio2@PVP-DCMD Membranes: A Breakthrough in Heavy Metal Removal and Antibacterial Defense
Abstract: This study investigates the development and characterization of multifunctional gold-doped silica (Au@SiO₂) membranes for water distillation and antibacterial applications. The manufacturing process integrated gold nanoparticles into silica matrices using sol-gel techniques. Structural analysis was conducted using SEM (showing uniform pore distribution with an average pore size of 40-50 nm), FTIR (confirming Si-O-Si and Si-Au-Si bonding peaks at 525 cm⁻¹ and 1310 cm⁻¹ respectively), EDX (revealing gold nanoparticle content of 1.5 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 13–27 Read article
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Effect of Mindfulness-Based Yoga Practices on Anxiety and Attention Level Among High School Children in a Selected High School, Bhubaneswar, Odisha
Abstract: Background: In a world filled with endless pressures and expectation, school-aged children often find themselves navigating through a labyrinth of stressors and anxiety. from the moment they wake up their tiny minds are bombarded with worries about exams, social interaction.it is in these moments of chose that the ancient practice of yoga emerges as a gentle beacon of hope, offering solace and tranquility to these young souls. The study main …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Parametric optimization and validation of novel 3D scanning approach for sustainable manufacturing of patient-specific orthodontic retainers
Abstract: The purpose of the proposed study is to identify the ideal procedure parameters for 3D scanning a denture in order to produce customised orthodontic retainers that can be produced sustainably. However, pilot investigations rarely explore parameters like scanning angle, light intensity, or scanning distance. In order to lower acquisition error, the suggested study examines a method for forecasting the ideal values of the previously indicated scanning parameters. Based on the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 265–278 Read article
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Impact of Training Program on Recent Innovations in Oncology Among Nursing Professionals
Abstract: Introduction: In recent years, there have been significant advancements and trends in the field of oncology treatment in India. This study aimed to evaluate impact of training program on knowledge regarding recent innovations in oncology among nursing professionals. After ethical approval, a pre-experimental, one group pretest- post-test design was used to conduct this research at anursing college of Punjab. Methods: The sample was selected using the total enumerative sampling technique. …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 9–14 Read article
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A Study to Evaluate the Effectiveness of Sensory Stimulation Program (SSP) on Motor Function (MF) and Verbal Response (VR) Among Patients with Stroke in ICU of Selected Hospitals at Salem
Abstract: Introduction: Stroke is a medical emergency and can cause permanent neurological damage, complications and death. Objectives: (1)To develop and validate a Sensory Stimulation Program aimed at enhancing motor function (M.F) and vital signs recovery (V.R) in stroke patients. (2)To evaluate and compare the pre-test and post-test scores of M.F and V.R in stroke patients receiving routine nursing care. (3)To assess and compare the pre-test and post-test scores of M.F and …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 16–28 Read article
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Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine Learning
Abstract: Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design. Aerospace, automotive, biomedical, maritime, and civil engineers all rely on mechanical property prediction to cut down on trial expenses, expedite product development, and optimize material selection. Speedy design optimization is not possible using traditional numerical and experimental methods due to the high costs associated with material characterisation, computational …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Simultaneous Determination And Stability Indicating Method For Telmisartan, Metoprolol Succinate And Cilnidipine In Tablet Dosage Form.
Abstract: There are several medicinal agents available for antihypertensive activity. Telmisartan, metoprolol and cilnidipine are among them. Quantitative and qualitative analysis plays a pivotal role in safeguarding patients. Here, the estimation of these drugs was performed by using the chromatographic technique RP-HPLC. It was conducted with Phosphate buffer (pH 3.5 ± 0.01): Methanol (50:50 v/v) mobile phase. The system was operated at 1 ml/min. Drug volume to the system was 20μl. …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 1, 2024 · pp. 32–38 Read article
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DEM Simulation of Macro and Micro-scale Behavior of Granular Materials during Loading and Unloading
Abstract: The present paper aims at comparing the simulated stress-strain behavior of granular materials quantitatively with the experiment and exploring the evolution of the micro-scale behaviors during loading and unloading using the discrete element method (DEM). A numerical sample consisting of 9826 randomly generated spheres similar to the experiment was prepared. The numerically prepared isotropic sample was subjected to loading and unloading under strain controlled condition. It is noticed that the …
Published in Journal of Geotechnical Engineering Read article
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Numerical Investigation on Concrete Filled Steel Tube Composite Circular Columns Under General Loading
Abstract: Concrete-filled steel tube (CFST) composite columns are extensively utilized in civil engineering constructions because of their numerous structural advantages, such as superior seismic performance, high load- bearing capacity, fire resistance, remarkable ductility, and ability to absorb energy effectively, especially in areas prone to seismic activity. CFST columns are employed in tall buildings and bridges to enhance rigidity and increase bearing capacity, but their behavior can be affected by buckling. There …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 164–199 Read article
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Limestone Calcined Clay Cement (LC3) as a Sustainable Cementitious Composite for Retrofitting Concrete Structures: A Systematic Review
Abstract: This systematic review evaluates the effectiveness of Limestone Calcined Clay Cement (LC3) as a sustainable material for repairing and retrofitting damaged concrete structures. LC3 is highlighted as a low-carbon alternative to Ordinary Portland Cement (OPC), offering improved strength, bonding, and long-term durability. The review compiles and analyzes data from peer-reviewed experimental studies focusing on LC3’s mechanical performance, interface bonding, and durability parameters. Results consistently show higher bond strength, reduced shrinkage, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 163–174 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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Investigations On Use of Poly(3,4-Ethylenedioxythiophene): Poly (Styrene Sulfonic Acid) (PEDOT: PSS) Conductive Polymers for Design of Improved EEG Based Brain Computer Interface for Seizure Control and Analysis
Abstract: This research explores the application of Poly(3,4-ethylenedioxythiophene):poly(styrene sulfonic acid) (PEDOT:PSS) conductive polymers in the design of an enhanced Electroencephalography (EEG)-based Brain-Computer Interface (BCI) for seizure control and analysis. PEDOT: PSS, known for its high conductivity, flexibility, and biocompatibility, is employed to improve the efficiency and sensitivity of EEG electrodes, addressing challenges such as signal noise, skin-electrode impedance, and user comfort. The study evaluates the material’s properties, including its electrical conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 223–241 Read article
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Design and Implementation of an Energy-Efficient Wireless Sensor Network for Remote Monitoring
Abstract: Applications such as industrial automation, environmental monitoring, and agriculture make extensive use of wireless sensor networks, or WSNs. Since sensor nodes frequently operate in remote locations and have limited battery power, energy efficiency is the largest problem in WSN design. This paper presents an energy-efficient WSN architecture that combines optimized clustering and duty-cycling mechanisms to reduce energy consumption and increase network lifetime. The system uses low-power ESP32 nodes with Zigbee …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 22–27 Read article
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A Review on Predicting Wear and Friction of PTFE Composites - Fillers to Machine Learning Models
Abstract: Polytetrafluoroethylene (PTFE) composites, a self-lubricating material with low friction, became an indispensable material in engineering applications where load carrying capacity and wear are crucial. The pure PTFE has poor mechanical strength and wear resistance which can be enhanced by the addition of fillers in appropriate volume fraction. The wear performance is dependent on various factors such as fillers, operating parameters, environmental conditions as well as manufacturing attributes. This makes the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 114–128 Read article