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  1. 261

    Exploring Flexible Penalization of Bayesian Survival Analysis Using Beta Process Prior for Baseline Hazard by Kazeem A. Dauda, Ebenezer J. Adeniyi, Rasheed K. Lamidi, Olalekan T. Wahab

    Published 2025-01-01
    “…Therefore, this study is motivated to adopt the idea of a penalized semi-parametric Bayesian Cox (PSBC) model through elastic-net and group lasso penalty functions (PSBC-EN and PSBC-GL) to incorporate the grouping structure of the covariates (genes) and optimally perform variable selection. …”
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  2. 262

    Handling Multiple-Fuel Options in Economic Dispatch of Thermal Power Plants Through a Tight Model Applying Indicator Variables by Hossein Sharifzadeh

    Published 2025-01-01
    “…Thermal power plants play a central role in present power systems because of their high efficiency, fast startup capability, and flexibility to integrate the variability of renewable generations. …”
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  3. 263
  4. 264

    Method of restoring multivariable Boolean function from its derivative by Alexander V. Mazurenko, Nadezhda S. Mogilevskaya

    Published 2017-03-01
    “…Introduction. Boolean functions of several variables are of paramount importance in the coding theory and cryptography. …”
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  5. 265

    Variational Autoencoder Transfer Functions for Onshore Tsunami Hazard Curves by Willington Renteria, Patrick Lynett, Maile McCann, Behzad Ebrahimi, Hong Kie Thio, Ian Robertson, Chris Siverd, Betsy Hicks

    Published 2025-06-01
    “…Once encoded, the data are represented by a normal distribution of latent variables. The VAE then uses a trained decoder to sample the distribution created by the latent variables and reconstruct a continuous hazard function at the onshore location. …”
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  6. 266

    Mixed Cost Function and State Constrains Optimal Control Problems by Hugo Leiva, Guido Tapia-Riera, Jhoana P. Romero-Leiton, Cosme Duque

    Published 2025-04-01
    “…In this paper, we analyze an optimal control problem with a mixed cost function, which combines a terminal cost at the final state and an integral term involving the state and control variables. …”
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  7. 267

    The efficiency of Amil Zakat Institutions (LAZ) in Indonesian Islamic Banks: Data Envelopment Analysis Approach by Rofiul Wahyudi, Agus Susetyohadi

    Published 2021-12-01
    “…The Amil Zakat Institution (LAZ), based on Islamic bank corporations, has shown a significant role based on the mandate of the 2008 law on the social functions of Islamic banks. However, a performance evaluation is needed to see how efficient the LAZ is in its operations. …”
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  8. 268

    Comparative analysis of profitability and resource use efficiency between Penaeus monodon and Litopenaeus vannamei in India. by Ubair Nisar, Hongzhi Zhang, Mahida Navghan, Yugui Zhu, Yongtong Mu

    Published 2021-01-01
    “…The Cobb-Douglas production function, which relates production output to several independent input variables, was used to determine productivity. …”
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  9. 269

    The Impact of Earning Smoothing through Real Activities and its Components on Labor Force Investment Efficiency by Batool Ismael Hasan, Mehdi Heydari, Hamzeh Didar

    Published 2023-12-01
    “…Objective Recent research confirms the view that companies need foreign capital to finance their labor payments and financing frictions can affect labor investment. Real earnings smoothing can affect labor investment efficiency through its effect on market frictions caused by information asymmetry between managers and suppliers of external capital sources. …”
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  10. 270

    Energy-Efficient Train Operation Optimization Method for Urban Rail Intervals Based on Curve Splicing by Lianbo Deng, Shaokun Ren, Li Cai, Ziruo Xie

    Published 2025-01-01
    “…On this basis, a curve splicing optimization model is established, with the objective function being the minimization of the train’s operational energy consumption while meeting interval running time requirements. …”
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  11. 271

    Efficient remote sensing image classification using the novel STConvNeXt convolutional network by Bo Liu, Chenmei Zhan, Cheng Guo, Xiaobo Liu, Shufen Ruan

    Published 2025-03-01
    “…Abstract Remote sensing images present formidable classification challenges due to their complex spatial organization, high inter-class similarity, and significant intra-class variability. To address the balance between computational efficiency and feature extraction capability in existing methods, this paper innovatively proposes a lightweight convolutional network, STConvNeXt. …”
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  12. 272

    Variable viscosity and activation energy aspects in convection heat transfer over gravity driven solar collector plate for thermal energy storage by Nidhal Ben Khedher, Zia Ullah, Mohamed Boujelbene, O. D. Makinde, Abdullah A. Faqihi, A. F. Aljohani, Abdoalrahman S. A. Omer, Ilyas Khan

    Published 2024-11-01
    “…Amplitude and frequency of oscillations in heat transport, skin friction and mass transport enhances as Prandtl and Schmidt component enhances. …”
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  13. 273

    Energy Efficiency and Mathematical Modeling of Shrimp Pond Oxygenation: A Multiple Regression Experimental Study by Yoisdel Castillo Alvarez, Yorlan González González, Reinier Jiménez Borges, Luis Angel Iturralde Carrera, José M. Álvarez-Alvarado, Juvenal Rodríguez-Reséndiz

    Published 2024-11-01
    “…The proposed model is key to optimizing the operation of pumping systems, allowing us to significantly reduce water turnover without compromising dissolved oxygen levels as a function of key variables such as water turnover volume, biomass, solar radiation (0–1200 W/m<sup>2</sup>), water temperature (20 °C–32 °C), phytoplankton levels (0–1,000,000 cells/ml), zooplankton (0–500,000 cells/ml), and wind speed (0–15 m/s). …”
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  14. 274

    Genome-wide analyses reveal intricate genetic mechanisms underlying egg production efficiency in chickens by Lizhi Tan, Xinyu Cai, Yuan Kong, Zexuan Liu, Zilong Wen, Lina Bu, Yuzhan Wang, Xiaojun Liu, Zhiwu Zhang, Jianlin Han, Dandan Wang, Yiqiang Zhao

    Published 2025-08-01
    “…Consistently, functional analysis of associated genes demonstrates that egg production efficiency benefits from multiple physiological functions. …”
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  15. 275

    Modified graphene oxide as an efficient magnetic adsorbent for the simultaneous removal of Sunset Yellow and Tartrazine dyes by Margan Qaed Amini Farsani, Shahla Elhami

    Published 2024-01-01
    “…The adsorbent was successfully reused 8 times with very little change in the adsorption efficiency, which indicates that it is highly reusable. …”
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  16. 276

    Implicit manifestation of prospective metacognition in betting choices enhances its efficiency compared to explicit expression by Hidekazu Nagamura, Hiroshi Onishi, Kohta I. Kobayasi, Shoko Yuki

    Published 2025-03-01
    “…Recent metacognitive research has extensively investigated metacognitive efficiency (i.e., the accuracy of metacognition). Given the functional importance of metacognition for adaptive behavioral control, it is important to explore the nature of prospective metacognitive efficiency; however, most research has focused on retrospective metacognition. …”
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  17. 277
  18. 278

    Comparative Analysis of Transfer Function Method with Advanced Flood Prediction Techniques by Jafar Chabokpour

    Published 2024-09-01
    “…This now leads to a maximum Nash-Sutcliffe Efficiency of 0.91 for the Saint-Venant equations during the 2019 flood event, followed by ANN with 0.89, ANFIS with 0.87, SVM with 0.85, and lastly, Transfer Function with 0.78. …”
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  19. 279

    A Sparse Variable Step-Size Least-Mean-Square Algorithm for Impulsive Noise in a Code-Division Multiple Access System by Mohammad Salman, Ahmed A. F. Youssef, Fahmi Elsayed, Mostafa Rashdan

    Published 2025-01-01
    “…For instance, the cost function is inadequately described when impulsive noise is present, making it impossible for the LMS approach to correctly identify the system. …”
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  20. 280

    A MPCC-Based Variable Sampling Time Interleaving Method for a Two-Phase Totem-Pole Bridgeless Boost PFC Converter by Hyun-Gyu Koh, Hyeon-Joon Ko, Yeong-Jun Choi

    Published 2023-01-01
    “…However, since ON/OFF of the switch is determined through model-based cost function comparison, the switching frequency is variable and a separate modulator is not used. …”
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