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734 articles for “parameter study”
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The Heat of Competition: Assessing Climate Vulnerabilities and Adaptive Governance in Endurance, Winter, and Youth Sports
Abstract: Background: Climate change is fundamentally reshaping the environmental parameters of global sport, posing unprecedented risks to athlete health, safety, and performance. As rising temperatures, frequent extreme heat events, and deteriorating air quality become the new normal, athletic environments from community fields to elite international arenas face an existential threat. Purpose: This study provides an interdisciplinary synthesis of the multifaceted impacts of climate change on athletes, integrating evidence from sports medicine, …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 9–17 Read article
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Structure Property Correlation of Polymer Dielectrics Using Electrical Response Data
Abstract: Polymer dielectrics are foundational to insulation, capacitors, embedded passives, and flexible electronics, where performance is governed by the frequency-dependent electrical response rather than a single dielectric constant. This study presents a spectroscopy-aware structure–property correlation framework that transforms dielectric response data into physically interpretable spectral fingerprints and learns mappings from polymer descriptors to these fingerprints for prediction and interpretation. Broadband spectra are standardized on a log-frequency grid and parameterized using relaxation-informed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 315–324 Read article
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Design Analysis of PALF Natural Fiber Composite Laminate under Tensile Loading Condition using Simulation Approach
Abstract: Plant-based fibre reinforced materials are increasingly being employed for a variety of structural and non-structural purposes. Plant and animal-based fibres have different characteristics depending on a variety of circumstances. Mechanical qualities are primarily determined by parameters such as matrix, fillers, fibre content, fibre treatment, and fabrication techniques. The present work aim in analyzing the PALF natural fiber using simulation approach. In the process laminates are prepared as per ASTM standards …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 2, 2023 · pp. 23–29 Read article
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Time Series Sales Forecasting Using ARIMA Model
Abstract: Sales forecasting is a critical application in various industries and presents one of the most challenging problems worldwide. One method of prediction involves identifying patterns in historical data, where the outcome is known in advance and can be validated using more recent data. If a pattern consistently leads to the same outcome, it can be considered a genuine relationship. This method is highly flexible and can be utilized with diverse …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 17–27 Read article
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Impact of Hypoxia on Cardiopulmonary Adaptation in Canines: A Comprehensive Review
Abstract: Hypoxia triggers a series of cardiopulmonary responses that play an important role in oxygen delivery and the continuation of physiological activity in mammals. Canines are also a useful translational model of study to examine these adaptive responses because of their anatomical, physiological, and cardiopulmonary differences with humans. This review summarizes the experimental data of acute, subacute and chronic hypoxia in dogs with particular focus on the variations in cardiac functioning, …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 1, 2026 · pp. 13–24 Read article
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Bioremediation of Crude Oil-Contaminated Loamy Soil Using Plantain (Musa Paradisiaca) Stem Waste as a Biostimulant
Abstract: Crude oil contamination of soil is a pressing environmental challenge in oil-producing regions, especially in the Niger Delta of Nigeria. It degrades soil fertility, disrupts microbial ecosystems, and poses long-term ecological and health risks. Traditional remediation methods are often cost- prohibitive and environmentally intrusive, prompting the search for sustainable alternatives. This study investigates the potential of plantain (Musa paradisiaca) stem waste – a readily available agricultural byproduct – as a …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 1, 2026 · pp. 1–11 Read article
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Seismic Response Characterization of Vertically Irregular Multi-Storey Buildings Incorporating Mass and Stiffness Variations Using E-TABS Software
Abstract: The increasing demand for innovative architectural designs has led to the widespread use of vertically irregular configurations in high-rise reinforced concrete (RC) buildings. However, such irregularities significantly influence structural performance under seismic loading conditions, leading to complex structural behaviour and stress concentration at specific levels This study focuses on evaluating the seismic behaviour of vertically irregular multi-storey buildings using nonlinear time history analysis, which provides a realistic representation of structural …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 3, 2026 Read article
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Activity Quantification of Lu-177 SPECT/CT Imaging for Calibration Factor Analysis in Clinical Radionuclide Dosimetry
Abstract: Purpose: To evaluate the calibration factor (CF) at three-time points with the same protocol & acquisition parameters for the images of Lu-177 activity, scanned by two different SPECT/CTs (GE & MEDISO) using a cylindrical Jaszczak phantom with cold inserts, filled with uniform activity in water and to analyze the changes in the calibration factor data with time. The purpose of the study is to quantitatively analyze the first step (calibration …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 2, 2024 · pp. 9–22 Read article
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A Comparative Study of different Techniques to predict Maternal Morbidity and Mortality Model
Abstract: Artificial intelligence (AI) encompasses a range of techniques, including machine learning and deep learning, which are increasingly utilized in the healthcare sector for tasks such as disease diagnosis and drug discovery. To achieve accurate disease diagnosis through AI, it is essential to integrate data from multiple medical sources, including ultrasound imaging, magnetic resonance imaging (MRI), mammography, genomics, and computed tomography (CT) scans, among others. This article presents a comprehensive review …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 Read article
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Artificial Neural Network Modelling to Optimize Micro-Drilling Parameters of ECDM of Developed Novel Zn/(Ag+Fe)-MMC
Abstract: Several engineering fields have increased their use of metal matrix composites (MMCs) in the past few years. Due to the increase in composites, the demand for accurate machining has also become important. Specifically, pertaining to biomaterial applications, accuracy factor with desired surface finish is critical. While the near-net shape manufacturing process has advanced, MMCs frequently require post-mould machining to achieve surface quality, and dimensional tolerances. In the present study, a …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 01–13 Read article
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Effect of Nebulization With 3% Hypertonic Saline for Airway Clearance on Mechanically Ventilated Patients Admitted in ICUs of Pt. B.D. Sharma, PGIMS, Rohtak
Abstract: Background of the Study: The ability to breathe artificially prolongs life in many situations. Patients requiring mechanical breathing in the intensive care unit are more likely to have complications and even death due to a variety of interconnected causes. As a result, it became critical to rapidly ventilate in the safest and most efficient manner available. Intubated patients have benefited from nebulized suctioning, as it improves lung clearance and decreases …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 20–27 Read article
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Advances in Polymer-Modified Concrete using XAI
Abstract: Industry 4.0 technologies are being quickly adopted by the construction sector, opening new avenues for enduring operational and environmental issues. This sector looks at how explainable AI can forecast air and enhance the quality of building materials. XAI, AI, ML, and big data drive a new paradigm in polymeric material development. The effective XAI and ML-assisted design creates innovative, high-performance polymeric materials. It covers building a database and representing structures, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 133–144 Read article
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An experimental study on flexural behavior of RC beams of Alccofine based engineered concrete infusing steel fibres
Abstract: The innovations in concrete being engineered to the specific requirements have found a new dimension under sustainability. Alccofine is a sustainable construction material derived from GGBS. The primary objective of the study is to explore the potential of Alccofine particles in varying proportions in combination with 0.5% steel fibers to uplift the flexural strength of the engineered concrete. As concrete is known to be a brittle material once hardened, exhibits …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 87–97 Read article
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Precipitable Water for Human Consumption in Rural Areas: Calculation Method and Engineering Design
Abstract: This work describes a methodological process to estimate the precipitable water for human consumption as a function of meteorological parameters like ambient and dew point temperature, water vapor and ambient pressure, and relative humidity. The paper uses empirical correlations to determine the most accurate procedure for atmospheric rainwater, resulting in a simple relation between precipitable water and dew point temperature as the highest accurate one. The study shows the dew …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 41–57 Read article
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Study of Groundwater Quality in Shallow Tubewells of Bhubaneswar City Using WQI Method
Abstract: Shallow groundwater is extremely vulnerable owing to overexploitation, anthropogenic activities, and environmental effects. Declining quality of groundwater poses an enormous risk for human health and the entire ecosystem. Nearly 50 per cent urban water supply is contributed by groundwater in Indian cities. Since Bhubaneswar shares a similar scenario where 34 out of 67 wards are partially covered with municipal water supply and the residents of these areas are largely dependent …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 559–574 Read article
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Process Optimization of Spot Welding for Galvanized Automotive Steel Sheets
Abstract: Resistance Spot Welding (RSW) is a pillar of the modern automotive industry with the usage of lightweight and high-strength products at the highest point of demand. The optimum weld quality of galvanized steel sheets which is a material of choice because of its additional corrosion protective property is however not achieved easily. This study is a well-developed data-based solution to designing the RSW process in the most efficient way, providing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 32–42 Read article
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Thermoacoustic Properties of 1-Propanol-n-Hexane and 1-Propanol-Cyclohexane Binary Mixtures: A Comparative Study at 298.15 K
Abstract: This study reports the measurement of ultrasonic velocity (U), viscosity (η), and density (ρ) for the binary liquid mixtures 1-propanol–n-hexane and 1-propanol–cyclohexane at 298.15 K over the full composition range (mole fraction 0.1–0.9). From the experimentally measured data, several important thermodynamic and acoustic parameters, including isentropic compressibility (βₐ), acoustic impedance, intermolecular free length, free volume (Vf), and internal pressure (πᵢ), were systematically derived to assess the magnitude and nature of …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 19–30 Read article
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Effect of Blunt Truncation in an Aerospike Nozzle
Abstract: Aerospike nozzles are gaining attention as a more advanced alternative to conventional bell nozzles, mainly because they can perform efficiently across a wide range of altitude conditions. Unlike traditional converging–diverging nozzles, aerospike designs naturally adjust to changes in ambient pressure, allowing the exhaust flow to expand more effectively. This results in better thrust performance under varying operating conditions, making them a strong candidate for future aerospace propulsion systems. In this …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Machine Learning Approach to Predict the Performability and Emissions of Diesel Engine Fueled with Doped Biodiesel Blend
Abstract: Enhancing the performability and emission characteristics of diesel engines has been a difficult task in light of growing concerns about global warming and other negative effects, as diesel accounts for 70% of global energy demand. In this study, engine performance and exhaust emissions for various fuel blends were thoroughly evaluated using machine learning techniques to predict engine emission and performance behavior. We focused on biodiesel blend and nanoparticle additive concentration …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 1–12 Read article
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Quasar: Quantum-Accelerated Sustainable Anomaly Recognition in Climate Systems
Abstract: Accurate detection of climate anomalies is vital for disaster alleviation and policy making in a sustainable manner, but customary detection methods face the challenges of computational inefficiency and physical inconsistency. In this study, we propose a novel approach called Quantum-Optimized Fuzzy Physics-Informed Neural Networks (QFuzzy-PINNs), which integrates quantum computing, fuzzy logic, and physics-informed deep learning. As a first step, we employ quantum annealing for conventional optimization to adjust multiple Gaussian …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 18–27 Read article