Development and Use of Biotechnological System Models in Applied Scientific Research by M. A. Kerimov

“…The study was conducted by assessing the results obtained through statistical analysis of experimental data, employing methods and techniques of mathematical modeling for technological processes, and exploring key avenues for the development of intelligent digital technologies. …”
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Interpretable machine learning models for predicting Ebus battery consumption rates in cold climates with and without diesel auxiliary heating by Kareem Othman, Diego Da Silva, Amer Shalaby, Baher Abdulhai

“…We specifically use Canadian data as a good representative of cold climates in general. …”
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FREQUENCY PREDICTION OF STAGED COMBUSTION ROCKET ENGINE BASED ON RBF NEURAL NETWORK by DU FeiPing, TAN YongHua, CHEN JianHua

“…Then the finite element model of staged combustion rocket engine was established using the method of distributed parameter and the finite element model was modified by modal experimental data.The difference structural parameters which were chosen according to the structural sensitivity analysis were considered as training samples. …”
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Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization by Senyefia Bosson-Amedenu, Emmanuel Ayitey, Francis Ayiah-Mensah, Luyton Asare

“…Abstract Background Frailty models are extensively utilized in survival analysis to address unobserved heterogeneity among individuals. …”
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Enhancing Fault Detection in Stochastic Environments Using Interval-Valued KPCA: A Cement Rotary Kiln Case Study by Abdelhalim Louifi, Abdelmalek Kouadri, Mohamed-Faouzi Harkat, Abderazak Bensmail, Majdi Mansouri

“…Fault detection in industrial processes is challenging due to significant data uncertainty, which complicates the accurate modeling of interval-valued data and the quantification of errors necessary for reliable detection. …”
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Fine carrier frequency offset estimation for OFDM and MIMO-OFDM systems: A comparative study by Moatasem Mohammed Elsayed Kotb, Maha Raof Abdel-Haleem Mohamed, Ashraf Yahya Hassan Ali Fahmy, Ashraf Shawky Selim SayedAhmed Mohra

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Modeling of whole brain sleep electroencephalogram using deep oscillatory neural network by Sayan Ghosh, Dipayan Biswas, N. R. Rohan, Sujith Vijayan, V. Srinivasa Chakravarthy

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Analysis of the prevalence of insomnia in the adult population of São José do Rio Preto, Brazil Análise da prevalência da insônia na população adulta de São José do Rio Preto, Bras... by Nely Silvia Aragão de Marchi, Rubens Reimão, Waldir Antonio Tognola, José Antonio Cordeiro

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Evaluating healthcare quality and inequities using generative AI: a simulation study of potentially inappropriate medication among older adults analyzed via the framework analysis... by Johan Öberg, Raquel Perez-Vicente, Martin Lindström, Patrik Midlöv, Juan Merlo

“…The analysis requires close supervision, as the GPT presents both errors and correct results with confidence. …”
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Design and Validation of a New Tilting Rotor VTOL Drone: Structural Optimization, Flight Dynamics, and PID Control by Haixia Gong, Wei He, Shuping Hou, Ming Chen, Ziang Yang, Qin Si, Deming Zhao

“…This work provides critical experimental data for future tilt-rotor UAV development.…”
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Physics-Informed Neural Networks and Fourier Methods for the Generalized Korteweg–de Vries Equation by Rubén Darío Ortiz Ortiz, Ana Magnolia Marín Ramírez, Miguel Ángel Ortiz Marín

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Signal Processing for Transient Flow Rate Determination: An Analytical Soft Sensor Using Two Pressure Signals by Faras Brumand-Poor, Tim Kotte, Enrico Gaspare Pasquini, Katharina Schmitz

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OptiNeoCare: optimisation of routine care in the management of severe perinatal asphyxia in full-term or near-term newborns – study protocol for analysis of suboptimal care by conf... by Pierre-Yves Ancel, Thierry Debillon, Gilles Cambonie, Geraldine Favrais, Gilles Kayem, Hendy Abdoul, Ayoub Mitha, Isabelle Guellec, Gauthier Loron, Charles Garabedian, Thomas Desplanches, Pierre Delorme, Eric Verspyck, Cyril Huissoud, Marie Delnaud, Blanche Graesslin, Pierre Tourneux, Maliha Badr, Sophie Chapeliere, Marie Brasseur-Daudruy, Max Gonzalez Estevez, Agnes Rigouzzo

“…Root cause analysis will identify determinants of suboptimal care. …”
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Enhanced Spatiotemporal Landslide Displacement Prediction Using Dynamic Graph-Optimized GNSS Monitoring by Jiangfeng Li, Jiahao Qin, Kaimin Kang, Mingzhi Liang, Kunpeng Liu, Xiaohua Ding

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A Copula-based Method for River Ecological Flow Quantification and Algal Bloom Risk Assessment in the Hanjiang River by NONG Xi-zhi, LAI Cheng, JING Zheng, YE Ye

“…The results from Copula functions were compared with those from the Tennant method and Hydrological Inflection-Point (HIP) analysis for validation. [Results] (1) The joint distribution model based on Gaussian Copula function passed the K-S test and effectively captured the significant negative dependence structure between flow and algal density.(2) During the 2018 algal bloom outbreak in Hanjiang River, when the flow exceeded 728.00 m3/s and 1 096.30 m3/s, there was over an 80% probability that algal density would exceed 2 561.10×104 cells/L and 902.93×104 cells/L, respectively. (3) The hydrological inflection point method calculated the initial flow of algal bloom with an error within 100 m3/s, demonstrating higher accuracy than the Tennant method. …”
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Forecasting the cryptocurrency exchange rate based on the ranking of expert opinions by Olena Gavrilenko, Mykhailo Miahkyi

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Forecasting the cryptocurrency exchange rate based on the ranking of expert opinions by Олена Гавриленко, Михайло Мягкий

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Recent Trends in the Quality Module of Sustainable Water Management Models-A Systematic Review by C. Subashini, Suseela Sellamuthu

“…Issues related to water resource management is investigated using machine learning algorithms, deep learning algorithms, and hybrid algorithms, with metrics such as RMSE (Root Mean Square Error), MAE (Mean Absolute Error), MAPE (Mean Absolute Percent Error), R2 (Coefficient of Determination), MSE (Mean Square Error), and RAE (Relative Absolute Error). …”
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Monitoring method for water level in subsidence water bodies in mining areas using multi-source satellite observations by Yufan XU, Shaogang LEI, Yongqiao SUN, Xingchen YANG, Cangjiao WANG

“…The use of regression models can effectively correct the water level observation data of GEDI satellites, reducing the average error, average absolute error, and root mean square error of water level measurement by 69.74%, 56.58%, and 50.56% respectively compared to before correction; ③ By integrating the ICESat-2 and GEDI observation datasets, high coverage and monitoring accuracy were demonstrated in water level monitoring, with a monitoring water coverage rate of 88.89% overall. …”
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Psychometric evaluation of the NoMAD instrument in cancer care settings: assessing factorial validity, measurement invariance, and differential item functioning by Maja Kuharic, James Lorenz Merle, David Cella, Sandra A. Mitchell, Lisa DiMartino, Jennifer L. Ridgeway, Don S. Dizon, Roshan Paudel, Jessica D. Austin, Sandra L. Wong, Ann Marie Flores, Andrea L. Cheville, Justin D. Smith, the IMPACT Consortium

“…Results The four-factor model demonstrated good fit to the data (CFI = 0.97, TLI = 0.96, RMSEA = 0.06, SRMR = 0.05). …”
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