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  1. 241

    Testing the Generality of a Passenger Disregarded Train Dwell Time Estimation Model at Short Stops: Both Comparison and Theoretical Approaches by Dewei Li, Yonghao Yin, Hong He

    Published 2018-01-01
    “…This paper focuses on testing and improving the generality of the model by two steps: first, the model is tested by applying more independent datasets from another city and comparing the estimation accuracy with the previous Dutch case; second, the model’s generality is tested by a theoretical approach through the analysis of individual model parameters, variables, model scenarios, and model structure as well as work conditions. …”
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  2. 242

    A Generalized Span–Depth Ratio Model for Minimum Thickness Design of Flat Plate Slabs Incorporating ACI Deflection Criteria by Bahman Omar Taha

    Published 2025-06-01
    “…To overcome these shortcomings, a generalized analytical model is developed based on fundamental deflection theory, incorporating both immediate and time-dependent behaviors. …”
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  3. 243

    Exploring Downscaling in High-Dimensional Lorenz Models Using the Transformer Decoder by Bo-Wen Shen

    Published 2024-09-01
    “…This study integrates atmospheric sciences, nonlinear dynamics, and machine learning, focusing on using large-scale atmospheric data to predict small-scale phenomena through ML-based empirical models. The high-dimensional generalized Lorenz model (GLM) was utilized to generate chaotic data across multiple scales, which was subsequently used to train three types of machine learning models: a linear regression model, a feedforward neural network (FFNN)-based model, and a transformer-based model. …”
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  4. 244

    Examining the impacts of urban tree structure and condition on adult depression in the United States by Lalita Dhal, Jason Gordon, Alexander Young, Mukti R. Subedi, Katie Jennings, Lucie Lepine, Thomas Brandeis, Puneet Dwivedi

    Published 2025-03-01
    “…In response, a growing body of research has examined the association between urban trees and human health, in general and psychological well-being, in particular. …”
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  5. 245

    Creation of a Safe Educational Environment for Ukrainian Youth During War Conditions by Natalia Tverdokhliebova, Nataliіa Yevtushenko

    Published 2024-04-01
    “…The methodology is based on the fundamental methodological principles of the systems approach and includes the use of a complex of general scientific (comparison, classification, generalization, systematization) and empirical (observation, search, conversation, description, analysis) methods. …”
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  6. 246

    Part I: Development and Implementation of the Ten, Five, Three (TFT) Model for Resistance Training by Quincy R. Johnson

    Published 2025-05-01
    “…The model includes three key components to consider when designing strength and conditioning programs, denoted by the acronym TFT (ten, five, three). …”
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  7. 247

    Enhancing patient rehabilitation outcomes: artificial intelligence-driven predictive modeling for home discharge in neurological and orthopedic conditions by Leonardo Buscarini, Paola Romano, Elena Sofia Cocco, Carlo Damiani, Sanaz Pournajaf, Marco Franceschini, Francesco Infarinato

    Published 2025-05-01
    “…When tested on the unbalanced dataset (real-world condition), the RF model maintained strong generalization performance, achieving 90% accuracy for OP and 83% for NP. …”
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  8. 248

    Comparison of the performances of six empirical mass transfer-based reference evapotranspiration estimation models in semi-arid conditions by Selçuk Usta

    Published 2024-11-01
    “…This study aims to test the usability of mass transfer-based Dalton, Rohwer, Penman, Romanenko, WMO and Mahringer models in Van Lake microclimate conditions and to calibrate them in compatible with local conditions. …”
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  9. 249

    The Existence and Uniqueness Conditions for Solving Neutrosophic Differential Equations and Its Consequence on Optimal Order Quantity Strategy by Alaa Fouad Momena, Rakibul Haque, Mostafijur Rahaman, Soheil Salahshour, Sankar Prasad Mondal

    Published 2024-02-01
    “…This study also demonstrates both the existence and uniqueness of a solution to the neutrosophic differential equation, followed by a concise expression of the solution using generalized neutrosophic derivative. As an application of the first-order neutrosophic differential equation, we discussed an economic lot sizing model in a neutrosophic environment. …”
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  10. 250
  11. 251

    Meteorological Conditions and PM2.5 Impact on COVID-19 Case Fatality Ratios (CFR) in Bangkok Metropolitan Region by Viranphat Singrakphon, Chidsanuphong Chart-asa, Pasicha Chaikaew

    Published 2024-04-01
    “…In Spearman’s Rank correlation analysis, the results found that CFR% exhibited a positive correlation with relative humidity (RH) (r=0.187) and a negative correlation with PM2.5 (r=-0.190) and wind speed (WS) (r=-0.039). The generalized additive model (GAM) indicated that RH, PM2.5, temperature, and WS adversely affect the CFR% of COVID-19. …”
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  12. 252
  13. 253

    BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series by Markus J. Fülle, Alexander Lange, Christian M. Hafner, Helmut Herwartz

    Published 2024-11-01
    “… We describe the R package BEKKs, which implements the estimation and diagnostic analysis of a prominent family of multivariate generalized autoregressive conditionally heteroskedastic (MGARCH) processes, the so-called BEKK models. …”
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  14. 254

    A new statistical model for advanced modeling of cancer disease data

    Published 2025-07-01
    “…Monte Carlo simulations further validate the model's robustness across various conditions. The practical utility of the GOBPW model is demonstrated through applications to three datasets: remission times of 132 bladder cancer patients (CD1), survival times of 73 acute bone cancer patients (CD2), and blood cancer data (CD3). …”
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  15. 255

    TIER: Temporal Convolutional Network Information Extractor With Conditional Random Field by Huiwen Wu, Xiubo Zhang, Tengyuan Zhou, An Hu

    Published 2025-01-01
    “…We propose TIER, which combines the Temporal Convolutional Network (TCN) and the Conditional Random Field (CRF). The dilated convolution structure of TCN is used to expand the Receptive Fields (RFs) to capture long-distance context features, and the global dependency between labels is modeled through the CRF layer to improve the information extraction performance further. …”
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  16. 256

    Applying conditional optimization to determine the allowable loads on flexurally rigid threads by D. A. Tarasov

    Published 2023-02-01
    “…This study is based on mathematical modeling of the problem of conditional optimization. …”
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  17. 257

    Stabilization due to predator interference: comparison of different analysis approaches by G.A.K. van Voorn, D. Stiefs, T. Gross, B. W. Kooi, Ulrike Feudel, S.A.L.M. Kooijman

    Published 2008-05-01
    “…Both models, in theirconventional formulation, are compared to a generalized, steady-state independenttwo-dimensional version of these models, based on a previously developednormalization method. …”
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  18. 258
  19. 259

    Development of model representations of thermal reaction viscoelastic bodies on the temperature field by E. M. Kartashov

    Published 2024-12-01
    “…The purpose of the work is to consider the open problem of the theory of thermal shock in terms of a generalized model of thermoviscoelasticity under the conditions of classical Fourier phenomenology on the propagation of heat in solids. …”
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  20. 260