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  1. 5361

    Analysis of retrospective natural history data collected from patients with SYNGAP1-related disorders: a preliminary examination of the Citizen database by Matthew R. Scott, Albert Misko, Yang Liu, Oleksandr Sverdlov

    Published 2025-07-01
    “…Exploratory analysis tools such as visualizations, summary statistics, and non-parametric statistical modeling were utilized. …”
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    Article
  2. 5362

    Polynomial degree impact on prediction accuracy in Casson-Williamson fluid with Cattaneo-Christov by Ramzan Ali, Nouman Khalid, Talal Taha, Ainura Mitalipova, Abdikerim Kurbanaliev

    Published 2025-06-01
    “…With an increase in the Casson and Williamson fluid parameters, the velocity profile becomes smaller, showing improved resistance in flow. …”
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    Article
  3. 5363

    Using Different Angles of Rotating Blades Using the Finite Element Method by Hassan Ali Hassan, Ahmad Soheili Mehdizadeh

    Published 2024-06-01
    “… One of the most important operations in agriculture is tillage, which has a great contribution to increasing crop yield and aeration of the soil and, ultimately, root development. Among the important tools for tillage are rotary rotators that are exposed to high and variable dynamic loads, so they are designed to have both the greatest contribution to soil agitation and high strength; It is necessary. …”
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    Article
  4. 5364

    Mathematical model of data collection and processing for a recommendation system for forming an individualized educational program by O.H. Hlazunova, Y.Y. Ponzel

    Published 2025-07-01
    “…In the current implementation, ML.NET tools are used, which automate the process of matrix factorization and loss function minimization, simplifying the development and tuning of the model. …”
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    Article
  5. 5365

    Artificial Intelligence-Based Surface Roughness Estimation Modelling for Milling of AA6061 Alloy by Aykut Eser, Elmas Aşkar Ayyıldız, Mustafa Ayyıldız, Fuat Kara

    Published 2021-01-01
    “…This study introduces the improvement of mathematical and predictive models of surface roughness parameter (Ra) in milling AA6061 alloy using carbide cutting tools coated with CVD-TiCN in dry condition. …”
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    Article
  6. 5366

    Perimeter Degree Technique for the Reduction of Routing Congestion during Placement in Physical Design of VLSI Circuits by Kuruva Lakshmanna, Fahimuddin Shaik, Vinit Kumar Gunjan, Ninni Singh, Gautam Kumar, R. Mahammad Shafi

    Published 2022-01-01
    “…To this end, advanced tools such as Xilinx VIVADO and the ICC2 have been developed, in addition to the ICC1 and VIRTUOSO, to explore for computations and recover the actual parameters that are required to design optimal placement and routing for well-organized and ordered physical design. …”
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    Article
  7. 5367

    Effect of Slope and Runoff Trends on the Hydrological Response of River Kaduna by Haruna Garba, Zuwairat Abubakar

    Published 2023-12-01
    “…The Mann-Kendall (M-K) and P- values statistical measurement were used to validate the null hypothesis against the observed data Relationships between gradients and climatic parameters for the hydrological response of Kaduna River was developed using geographic information tools (GIS).  …”
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    Article
  8. 5368

    Optimizing a hybrid process of electrolysis ultrasound and persulfate for remediation of petroleum contaminated soils using AI models by Rozhan Feizi, Iman Parseh, Ali Zafarzadeh, Sahand Jorfi, Amir Sheikhmohammadi

    Published 2025-07-01
    “…The study supports AI-based models as strong tools which enable optimization of complex environmental remediation methods and enhance pollutant remediation procedures. …”
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    Article
  9. 5369

    Physicochemical Analysis of Water Quality of Brook Kuruçay by Ekrem Mutlu, Arzu Aydın Uncumusaoğlu

    Published 2016-11-01
    “…The cleaning and maintenance of all of the equipment, land-type measurement tools, and glass sampling containers to be used in sampling were made 1 day before sampling. …”
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    Article
  10. 5370

    Methodology for Estimating the Cost of Construction Equipment Based on the Analysis of Important Characteristics Using Machine Learning Methods by Nataliya Boyko, Oleksii Lukash

    Published 2023-01-01
    “…The existing methods and tools for price forecasting, depending on the specific characteristics of the equipment, were analyzed. …”
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    Article
  11. 5371

    A Target Threat Assessment Method for Application in Air Defense Command and Control Systems by Xuan Truong Nguyen, Kim Phuong Phung, Quang Hieu Dang, Xung Ha Vo, Hoa Tien Vu

    Published 2023-07-01
    “…The efficiency of the proposed fuzzy model was evaluated by its simulation and testing using MATLAB tools on a set of 10 target trajectories with different parameters. …”
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    Article
  12. 5372

    Prevalence of multidrug-resistant biofilm-forming pathogens in diabetic foot ulcers and antimicrobial activity of nanoparticles by Samiya Kainat, Muhammad Sohail, Saira Rafique, Muneeza Mustafa, Uroosa Ejaz

    Published 2025-07-01
    “…Controlling certain extrinsic and metabolic parameters and comprehensively evaluating nanoparticle-based therapeutics can serve as powerful tools in curing chronic diabetic wounds. …”
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    Article
  13. 5373

    Predictive modelling of aquaculture water quality using IoT and advanced machine learning algorithms by Md. Abdullah Al Mamun Hridoy, Chiara Bordin, Andleeb Masood, Khalid Masood

    Published 2025-07-01
    “…However, maintaining optimal water quality remains a key challenge, particularly in rural aquaculture systems with limited access to real-time monitoring tools. This study presents a comprehensive six-month monitoring of key water quality parameters in tilapia ponds in Montería, Colombia, using a custom-built Internet of Things (IoT) system. …”
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  14. 5374

    Toxicological impacts and environmental risk of atrazine in the presence of graphene family nanomaterials (GFNs) on Chlorella sp. by Abhrajit Debroy, Mrudula Pulimi, Amitava Mukherjee

    Published 2025-06-01
    “…The study also uses statistical tools to evaluate the interconnection between the biochemical parameters and the treatment groups. …”
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    Article
  15. 5375

    Field inversion and machine learning based on the Rubber–Band Spalart–Allmaras Model by Chenyu Wu, Yufei Zhang

    Published 2025-03-01
    “…Machine learning (ML) techniques have emerged as powerful tools for improving the predictive capabilities of Reynolds-averaged Navier–Stokes (RANS) turbulence models in separated flows. …”
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    Article
  16. 5376

    Evaluation of Data Mining and Artificial Intelligence Methods to Predict Daily Precipitation by Yaseen Ahmed Hamaamin

    Published 2025-05-01
    “…Due to the complexity of relationships among metrological parameters, traditional statistical modelling tools are ineffective in forecasting and predicting weather conditions. …”
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    Article
  17. 5377

    An Option Pricing Formula for Active Hedging Under Logarithmic Investment Strategy by Minting Zhu, Mancang Wang, Jingyu Wu

    Published 2024-12-01
    “…These findings highlight the potential of logarithmic investment strategies as effective tools for risk management in volatile markets. To validate our theoretical model, numerical simulations using data from Shanghai 50 ETF options were used to confirm its accuracy, aligning well with theoretical predictions. …”
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    Article
  18. 5378

    Quantitative Nuclear Magnetic Resonance for Small Biological Molecules in Complex Mixtures: Practical Guidelines and Key Considerations for Non-Specialists by Eva Drevet Mulard, Véronique Gilard, Stéphane Balayssac, Gilles J. P. Rautureau

    Published 2025-04-01
    “…Unfortunately, these acquisition parameters can be challenging to implement experimentally and often require trade-offs that compromise high throughput or practicality. …”
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    Article
  19. 5379

    Quantification of the Disturbances of Phosphate Series Using the Box-Counting Method on Geoelectrical Images (Sidi Chennane, Morocco) by Abderrahim Ayad, Mahacine Amrani, Saad Bakkali

    Published 2019-01-01
    “…Fractal dimension was used as a representative parameter for examining the disturbed areas by using the box-counting method. …”
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  20. 5380

    MorphoCellSorter is an Andrews plot-based sorting approach to rank microglia according to their morphological features by Sarah Benkeder, Son-Michel Dinh, Paul Marchal, Priscille De Gea, Muriel Thoby-Brisson, Violaine Hubert, Ines Hristovska, Gabriel Pitollat, Kassandre Combet, Laura Cardoit, Bruno Pillot, Christelle Leon, Marlene Wiart, Serge Marthy, Jérôme Honnorat, Olivier Pascual, Jean-Christophe Comte

    Published 2025-05-01
    “…Instead, we propose a new open-source tool, MorphoCellSorter, which assesses microglial morphology by automatically computing morphological criteria, using principal component analysis and Andrews plots to score cells. …”
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    Article