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  3. 103

    Aligning the principles and practice of research integrity and research fairness in global health: a mixed-methods study by Sandra Alba, Rutuja Patil, Martijn Wienia, Masja Straetemans, Francis Kombe, Gowri Gopalakrishna, Harry Coleman, Nima Yaghmaei, Joseph Bukulu Sempa, Jake D Mathewson, Hannah Kabelka, Preeti Sohoni

    Published 2024-03-01
    “…Despite extensive academic discussions, empirical data on these aspects, especially in the context of global health, remain limited.Methods To address this gap, we conducted a mixed-methods study focusing on research integrity and fairness. …”
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    A configuration and scheduling optimization method for integrated energy systems considering massive flexible load resources by Zihao Wang, Shenhua Wang, Hanwen Ni, Junyin Wang, Jun Zhang

    Published 2025-03-01
    “…Introduction: With the increasing demand for energy utilization efficiency and minimization of environmental carbon emissions in industrial parks, optimizing the configuration and scheduling of integrated energy systems has become crucial. This study focuses on integrated energy systems with massive flexible load resources, aiming to maximize energy utilization efficiency while reducing environmental impact.Methods: To model the uncertainties in wind and solar power outputs, we employed three-parameter Weibull distribution models and Beta distribution models. …”
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  7. 107

    Variation of the Intermediate Language in Flanders by N. A. Kolomiets

    Published 2023-09-01
    “…The data was collected  and analyzed using the method  linguistic observations, questioning  and comparative analysis. …”
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  8. 108

    Towards sustainable architecture: Enhancing green building energy consumption prediction with integrated variational autoencoders and self-attentive gated recurrent units from mult... by Qing Zeng, Fang Peng, Xiaojuan Han

    Published 2025-01-01
    “…This study addresses these challenges by proposing an advanced deep learning framework that integrates Time-Dependent Variational Autoencoder (TD-VAE) with Adaptive Gated Self-Attention GRU (AGSA-GRU). …”
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  9. 109

    Acoustic Response of an Isotropic Beam Under Axially Variable Loads Using Ritz and Rayleigh Integral Methods by Somi Naidu Balireddy, Jeyaraj Pitchaimani, Lenin Babu Mailan Chinnapandi, V.S.N. Reddi Chintapalli

    Published 2022-04-01
    “…Static buckling and free vibration behaviours using shear and normal deformable theorem and Ritz method. However, the forced vibration response is evaluated using modal superposition method and the acoustic radiation characteristics are obtained using Rayleigh integral. …”
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  10. 110

    Exact Separation of Purely Short-Period Effects and Mean Variations in the Main Problem of Artificial Satellite Theory by Martin Lara

    Published 2025-02-01
    “…To our knowledge this transformation is new and was long-awaited by software developers in order to improve operational orbit propagation tools based on semianalytical integration. It is also shown that this kind of noncanonical solution confines the long-period oscillations of the semimajor axis in the mean variation equations.…”
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  11. 111

    Clinical value of Beery visual-motor integration and Beery VMI supplemental tests in Chinese preschoolers: a modified replication cross-sectional study by Xin Tang, Xuan Xu, Cong Wang, Lijuan Ao

    Published 2025-03-01
    “…ObjectivePrevious studies have indicated that visual-motor performance is affected by cultural variations. This study aimed to examine differences between the proportion of children with poor visual-motor integration (VMI) performance in published population norms with that in the sample population of this study and to assess the predictive value of the visual perception(VP) and motor coordination(MC) scores in explaining VMI variance in Chinese preschoolers.MethodsA random sample of 421 children ageds 3.0–6.11 years (mean age, 4.51 ± 0.93) participated in this study. …”
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  12. 112

    A Robust Tracking Method for Aerial Extended Targets with Space-Based Wideband Radar by Linlin Fang, Yuxin Hu, Lihua Zhong, Lijia Huang

    Published 2025-07-01
    “…First, we extend the observation model of the gamma Gaussian inverse Wishart probability hypothesis density filter to three-dimensional space by incorporating a spherical–radial cubature rule for improved nonlinear filtering. Second, variational Bayesian processing is integrated to enable the joint estimation of the target state and measurement noise parameters, and a recursive process is derived for both Gaussian and Student’s t-distributed measurement noise, enhancing the method’s robustness against noise uncertainty. …”
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  13. 113

    Short-Term Power Load Prediction Method Based on VMD and EDE-BiLSTM by Yibo Lai, Qifeng Wang, Gang Chen, Yu Bai, Peiyu Zhao, Xiaojing Liao, Shuang Wu, Changyou Men, Quan Sun

    Published 2025-01-01
    “…Aiming at the diversity and flexibility of electric loads and their inherent nonlinearity and temporality in the context of the new era. A forecasting method is proposed combining Variational Modal Decomposition (VMD) and EDE-BiLSTM. …”
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  14. 114

    La méthode hydrogéomorphologique de détermination des zones inondables by Jean-Louis Ballais, Sylvain Chave, Nadia Dupont, Éric Masson, Marie-Josée Penven

    Published 2011-03-01
    “…Enfin, l'évolution au cours de la période historique des unités hydrogéomorphologiques principales, lit mineur et lit majeur, est présentée.Le court chapitre III met en relation l'hydrogéomorphologie et le fonctionnement hydraulique à l'échelle des unités hydrogéomorphologiques puis au niveau de la modélisation.La deuxième partie présente les trois principales applications de la méthode : la cartographie des zones inondables, la méthode intégrée et l'aménagement.La cartographie des zones inondables est actuellement la principale application, grâce à son intégration dans la politique de prévision et de prévention des risques d'inondation en France depuis 1995. …”
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  15. 115

    An Improved Wavelet Soft-Threshold Function Integrated with SVMD Dual-Parameter Joint Denoising for Ancient Building Deformation Monitoring by Jiaxing Zhao, Houzeng Han, Yang Deng, Youqiang Dong, Jian Wang, Wenjin Chen

    Published 2025-06-01
    “…In deformation monitoring, complex environments, such as seismic excitation, often lead to noise during signal acquisition and transmission processing. This study integrates sequential variational mode decomposition (SVMD), a dual-parameter (DP) model, and an improved wavelet threshold function (IWT), presenting a denoising method termed SVMD-DP-IWT. …”
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  16. 116

    Deep multi-modal imaging temperature measurement method for detecting temperature rise in electrical equipment faults by Jinxuan Wen, Jiangjiang Li, Yachao Zhang

    Published 2025-07-01
    “…By applying Bayes theorem and introducing a variational distribution, the method approximates the true posterior. …”
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  17. 117

    Integrating sequencing methods with machine learning for antimicrobial susceptibility testing in pediatric infections: current advances and future insights by Zhuan Zou, Zhuan Zou, Fajuan Tang, Fajuan Tang, Lina Qiao, Lina Qiao, Sisi Wang, Sisi Wang, Haiyang Zhang, Haiyang Zhang

    Published 2025-03-01
    “…These inconsistencies may arise from factors such as genetic mutations or variants in resistance genes, differences in the phenotypic expression of resistance, and the influence of environmental conditions on resistance levels, which can lead to variations in the observed resistance patterns. Machine learning (ML) provides a promising solution by integrating large-scale resistance data with sequencing outcomes, enabling more accurate predictions of pathogen drug susceptibility. …”
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  18. 118

    Integrating Metaheuristics and Machine Learning for Enhanced Vehicle Routing: A Comparative Study of Hyperheuristic and VAE-Based Approaches by Kassem Danach, Louai Saker, Hassan Harb

    Published 2025-05-01
    “…This study addresses the optimization of the Vehicle Routing Problem (VRP) with prioritized customers by introducing and comparing two advanced solution approaches: a metaheuristic-based hyperheuristic framework and a Variational Autoencoder (VAE)-based hyperheuristic. …”
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  19. 119

    A multi-task allocation method for coal gangue sorting robots based on the integration of greedy strategy and scheduling rules by CAO Xiangang, DING Wentao, WU Xudong, WANG Peng, ZANG Jiasong, LIU Yizhe

    Published 2025-04-01
    “…Based on a comprehensive consideration of the gangue queue characteristics and queuing theory scheduling rules, a multi-task allocation method for coal gangue sorting robots, integrating a greedy strategy and scheduling rules, was proposed. …”
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