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  1. 901

    Improving the qualifications of doctors on the base of intelligent decision support systems by О. Стенін, В. Пасько, О. Лісовиченко, В. Солдатов

    Published 2025-02-01
    “…This article proposes the structure and composition of the IDSS of medicinal decisions, for which it is proposed to use a combined approach based on the frame structure of the knowledge model using production rules. …”
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    Article
  2. 902

    A Forecasting Method for COVID-19 Epidemic Trends Using VMD and TSMixer-BiKSA Network by Yuhong Li, Guihong Bi, Taonan Tong, Shirui Li

    Published 2025-07-01
    “…The two input branches are then processed in parallel by the TSMixer-BiKSA network model. Specifically, the TSMixer module employs a multilayer perceptron (MLP) structure to alternately model along the temporal and feature dimensions, capturing cross-time and cross-variable dependencies. …”
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    Article
  3. 903

    Training deep learning models with a multi-station approach and static aquifer attributes for groundwater level simulation: what is the best way to leverage regionalised informatio... by S. K. R. Chidepudi, S. K. R. Chidepudi, N. Massei, A. Jardani, B. Dieppois, A. Henriot, M. Fournier

    Published 2025-02-01
    “…When employed along with prior clustering, using wavelet decomposition as a pre-processing technique significantly improves model performances, particularly for GWLs dominated by low-frequency interannual to decadal variations. …”
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    Article
  4. 904
  5. 905

    Integrating Radiomics and Lesion Mapping for Cerebellar Mutism Syndrome Prediction by Xinyi Chai, Wei Yang, Yingjie Cai, Xiaojiao Peng, Xuemeng Qiu, Miao Ling, Ping Yang, Jiashu Chen, Hong Zhang, Wenping Ma, Xin Ni, Ming Ge

    Published 2025-05-01
    “…<b>Objective:</b> To develop and validate a composite model that combines lesion–symptom mapping (LSM), radiomic information, and clinical factors for predicting cerebellar mutism syndrome in pediatric patients suffering from posterior fossa tumors. …”
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    Article
  6. 906
  7. 907

    Media formulation using statistical methodology to enhance α-amylase production for green synthesis of Au-NPs by Bacillus subtilis VSP4 under solid-state fermentation by Vimalkumar S. Prajapati, Vaibhavkumar N. Mehta, Swati K. Patel

    Published 2025-06-01
    “…The F-value of the quadratic model (18.36) implies that the model is significant, while the F-value of the lack of fit (3.17) indicates that the lack of fit is not significant, meaning that the model has good fit. …”
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    Article
  8. 908

    Islamic Banking in Indonesia: Assessing the Impact of Economic Turbulence and Market Dynamics on Credit Portfolios by Faizul Mubarok, Martino Wibowo, Kabul Wahyu Utomo, Saif Ur Rahman

    Published 2025-06-01
    “…It is driven by the need to understand how external shocks and policy variables affect Islamic financing behavior. Utilizing monthly data from 2002 to 2023, the study employs a Vector Error Correction Model (VECM), Impulse Response Function (IRF), and Forecast Error Variance Decomposition (FEVD) to analyze both short- and long-term dynamics. …”
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    Article
  9. 909
  10. 910

    Cointegration Analysis of Trade and Economıc Cooperatıon Between Russıa and Azerbaijan Under Sanction Conditions by R. V. Yuniszada

    Published 2025-05-01
    “…The impact of factors on trade turnover has been analyzed using a newly modified baseline gravity model. The reaction of outcome variables to shocks in causal factors has been examined, and the yearly decomposition of the variance of residuals has been obtained. …”
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    Article
  11. 911
  12. 912

    Design and Optimization of Friction Winch for 25 MW Airborne Wind Energy Systems by Lizhao NIU, Kuo YIN, Chonghui LEI

    Published 2025-01-01
    “…Using the central composite experimental design method, a response surface model was established for the drum's stress, mass and main design structural parameters. …”
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    Article
  13. 913

    Analisis Kemampuan Literasi Informasi antara Anggota Ikatan Pustakawan Pelajar dan Non Anggota Pada Siswa SMAN 5 Malang Berdasarkan Model Empowering Eight by Marshanda Anta Azzarah, Adi Prasetyawan

    Published 2024-12-01
    “…The main deficiency for both groups of students, whether DLC members or non-members, lies in determining the topic for paper composition. The weakness lies in the application of the empowering eight information literacy model to determine the topic. …”
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    Article
  14. 914

    Response surface optimization of sedimentation efficiency for sustainable green microalgae harvesting using automated non-invasive methods by Amr M. Ayyad, Eladl G. Eltanahy, Mervat H. Hussien, Dina A. Refaay

    Published 2025-07-01
    “…Sealed vessels and smaller culture volumes further enhanced sedimentation efficiency. RSM predictive models achieved high accuracy (adjusted R2 > 99%). …”
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    Article
  15. 915

    Laboratory Modeling of the Bazhenov Formation Organic Matter Transformation in a Semi-Open System: A Comparison of Oil Generation Kinetics in Two Samples with Type II Kerogen by Anton G. Kalmykov, Valentina V. Levkina, Margarita S. Tikhonova, Grigorii G. Savostin, Mariia L. Makhnutina, Olesya N. Vidishcheva, Dmitrii S. Volkov, Andrey V. Pirogov, Mikhail A. Proskurnin, Georgii A. Kalmykov

    Published 2025-03-01
    “…Differences between the samples were detected in hydrocarbon generation endurance (5 and 8 days), n-alkane composition, and C27/C29 and DBT/Phen. A hypothesis about the influence of kerogen variability and mineral matrix on oil production was made. …”
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    Article
  16. 916

    The effect of internal migration on regional growth in Italy: a dynamic spatial panel data analysis by Francesca Centofanti, Roberto Basile, Francesca Licari, Jacopo Pitari

    Published 2024-10-01
    “…The analysis considers this heterogeneity, estimating various specifications of the dynamic spatial model and controlling for the endogeneity of migration variables through a control function approach. …”
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    Article
  17. 917

    Optimization of chlorpheniramine maleate (CPM) delivery by response surface methodology – four component modeling using various response times and concentrations of chitosan-alanin...

    Published 2009-04-01
    “…The release behavior of drug was affected by preparation variables. A central composite design was used to evaluate and optimize the effect of preparation variables; chitosan concentration (X1), percentage of crosslinker (X2), concentration of drug (X3) and release time (X4) on the cumulative amount of drug release, Y in solutions of pH = 2.0 and pH = 7.4, respectively. …”
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  18. 918

    Use of Population-Based Compartmental Modeling and Retinol Isotope Dilution to Study Vitamin A Kinetics and Total Body Stores among Ghanaian Women of Reproductive Age by Michael H Green, Veronica Lopez-Teros, Joanne Balmer Green, Georg Lietz, Sika M Kumordzie, Anthony Oxley, Ahmed D Fuseini, K Winifred Nyaaba, Emily Becher, Jennie N Davis, K Ryan Wessells, Seth Adu-Afarwuah, Reina Engle-Stone, Marjorie J Haskell

    Published 2024-11-01
    “…Methods: Women (n = 89) ingested a dose of [2H6]retinyl acetate and blood samples (3/woman) were collected from 6 h to 91 d, with all participants sampled at 14 d, about half at either 21 or 28 d, and each at one other time. Composite data (plasma retinol fraction of dose; FDp) were analyzed using Simulation, Analysis and Modeling software to obtain kinetic parameters, TBS, and other state variables as well as model-derived values for the RID composite coefficient FaS. …”
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  19. 919

    Luffa–Ni/Al layered double hydroxide bio-nanocomposite for efficient ibuprofen removal from aqueous solution: Kinetic, equilibrium, thermodynamic studies and GEP modeling by Soheil Tavassoli, Afsaneh Mollahosseini, Saeed Damiri, Mehrshad Samadi

    Published 2025-01-01
    “…In addition, a powerful data-driven model, namely gene expression programming (GEP), was employed to provide an explicit formula relating input variables to removal efficiency, highlighting the potential of LF@ppy@LDH for water purification and environmental remediation.…”
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  20. 920

    From pixels to planning: scale-free active inference by Karl Friston, Karl Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Dimitrije Markovic, Alexander Tschantz, Magnus Koudahl, Christopher Buckley, Christopher Buckley, Thomas Parr

    Published 2025-06-01
    “…This model generalizes partially observed Markov decision processes to include paths as latent variables, rendering it suitable for active inference and learning in a dynamic setting. …”
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    Article