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Exergo-technological explicit methodology for gas-turbine system optimization of series hybrid electric vehicles
Published 2017“…An intercooled regenerative reheat cycle is prioritized, offering higher efficiency and higher power density than those of other investigated gas-turbine systems. A series hybrid electric vehicle model is developed and powertrain components are sized by considering the vehicle performance criteria. …”
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Problematic internet usage: the impact of objectively Recorded and categorized usage time, emotional intelligence components and subjective happiness about usage
Published 2022“…Multiple linear regression analysis showed that happiness with phone usage (β = −.17), the actual usage of communication (β = .17), social media (β = .19) and gaming apps (β = .13), and trait EI component of self-control (β = −.28) were all significant predictors of PIU. …”
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Airbag-related penetrating injuries: A case series from a level 1 trauma center
Published 2023“…<h3>Background</h3><p>Airbags have significantly reduced the morbidity and mortality associated with trauma following motor vehicle crashes. …”
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Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis
Published 2019“…Specifically, symptom queries were first determined to be significantly predictive of subsequent 12-step queries if the probability of querying a medical symptom by those who later sought information about the 12-step program exceeded the probability of that same query being made by a comparison group of all other Bing users in the United States. …”
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Multidimensional Risk-Based Real Options Valuation for Low-Carbon Cogeneration Pathways
Published 2023“…A combined price risk was initially estimated by transforming the given price factors representing maximum covariance using principal component analysis (PCA). The trend and volatilities in the major principal component scores (the combined price risk indicator) were modelled using the geometric Brownian motion stochastic process, whose parameters were determined and then used to perform time-series simulation and generate multiple realisations of the principal component. …”
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Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
Published 2022“…Decomposition-based hybrid models have gained significant popularity in recent years. These methods generally disaggregate the original time series data into sub-time-series with better stationarity, and then the target data is predicted based on the sub-series. …”
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Development and Validation of a Class Imbalance-Resilient Cardiac Arrest Prediction Framework Incorporating Multiscale Aggregation, ICA and Explainability
Published 2025“…<p dir="ltr">Objective: Despite advancements in artificial intelligence (AI) for predicting cardiac arrest (CA) with multivariate time-series vital signs data, existing models continue to face significant problems, particularly concerning balance, efficiency, accuracy, and explainability. …”
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Optimizing patellar positioning during total knee arthroplasty
Published 2017“…Introduction Optimal positioning of the patellar component is crucial for the success of a total knee arthroplasty (TKA). …”
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A novel hybrid methodology for fault diagnosis of wind energy conversion systems
Published 2023“…Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …”
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The Impact of Professional Learning Development Workshops Focused on Technology Integration on Teachers’ Usage and Perception of Technology: A Study on Enhancing Practices and Outc...
Published 2023“…The implications of this study are significant in today's digital age, where technology has become an essential component of education. …”
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A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems
Published 2021“…The results of the conducted computational experiments indicate that an increase in infrastructure investment through high speed chargers can significantly decrease the size of the necessary fleets. …”
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Genome-Wide Association Study in a Lebanese Cohort Confirms PHACTR1 as a Major Determinant of Coronary Artery Stenosis
Published 2012“…The manifestation of coronary artery disease (CAD) follows a well-choreographed series of events that includes damage of arterial endothelial cells and deposition of lipids in the sub-endothelial layers. …”
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A decision support system for automating document retrieval and citation screening
Published 2021“…The proposed DSS is effective and can substantially decrease the document retrieval and citation screening steps' workload and error rate.…”
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Initial risk assessment for pulmonary hypertension in patients with COPD
Published 2012“…Diffusion capacity was lower but did not reach statistical significance (P = 0.07). In multivariate analysis, statistically significant independent variables were >3% decrease in exercise oxyhemoglobin saturation and decline in prebronchodilator FEV1 (P = 0.01 and P = 0.04, respectively). …”
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Use of Ultrasound and Ionic Liquids to Enhance the Extractive Desulfurization of Oils
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InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images
Published 2023“…<p dir="ltr">In February 2023, Turkey experienced a series of earthquakes that caused significant damage to buildings and affected many people. …”
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The what, where, who, why, which, and how of collaborative play involving autistic children in educational context: a contextual inquiry
Published 2024“…Notably, play is an important component of a child’s development, and its pedagogical significance has been rigorously researched. …”