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

“…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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Geochemical evaluation of black limestones in the Early Cretaceous platform carbonates of Gümüşhane (NE Turkey): An insight into petroleum source rock potential and palaeoenvironme... by Çiğdem Saydam Eker, Uğur Volkan Arı, Selçuk Alemdağ

“…These results indicate that the examined limestones have variable source rock potential, ranging from low to high. …”
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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

“…<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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The Effect of Layer Thickness and Nozzle Diameter in Fused Deposition Modelling Printing on the Flexural Strength of Zirconia Ceramic Samples Produced by a Multistage Manufacturing... by Anton Smirnov, Oleg Yanushevich, Natella Krikheli, Yulia Zhukovskaya, Mihail Soloninkin, Petr Naumenko, Nestor Washington Solis Pinargote, Pavel Peretyagin, Sergey Grigoriev, Nikita Nikitin

“…The process of creating ceramic items using fused deposition modelling (FDM) enables the creation of intricate shapes for a variety of purposes, including tooling and prototyping. …”
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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

“…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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An Advanced Compression Molding Simulation and Validation of a Thick-Walled Carbon Fiber Sheet Molding Compound Brake Caliper by Andreas Kapshammer, Severin Huemer-Kals, Kepa Zulueta, Peter Fischer, Zoltan Major

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Game-Related Statistics in the Spanish Water Polo League: Differences between Seasons (Estadísticas de partido en la Liga Española de Waterpolo: Diferencias entre temporadas) by María del Carmen Iglesias Pérez, Enrique García Ordóñez, Carlos Touriño González

“…The data were compositional data, therefore the variables were modified with additive log-ratio transformation. …”
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Design and Optimization of Friction Winch for 25 MW Airborne Wind Energy Systems by Lizhao NIU, Kuo YIN, Chonghui LEI

“…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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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

“…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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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

“…Sealed vessels and smaller culture volumes further enhanced sedimentation efficiency. RSM predictive models achieved high accuracy (adjusted R2 > 99%). …”
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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

“…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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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

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

“…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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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

“…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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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

“…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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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

“…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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Unveiling psychobiological correlates in primary Sjögren’s syndrome: a machine learning approach to determinants of disease burden by László V. Módis, László V. Módis, András Matuz, András Matuz, Zsófia Aradi, Ildikó Fanny Horváth, Antónia Szántó, Antal Bugán

“…This study aimed to evaluate the predictive weight of different factors in determining both objective and subjective disease burden using machine learning (ML) models.Methods117 pSS patients, whose biological (blood cell counts, complement activity, IgG, RF, SSA, SSB), psychological (personality traits, depression, anxiety, basic self-esteem assessed via self-reported questionnaires), and social (socioeconomic status and social support) measures were collected in a composite database. …”
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Developing a Topographic Model to Predict the Northern Hardwood Forest Type within Carolina Northern Flying Squirrel (Glaucomys sabrinus coloratus) Recovery Areas of the Southern A... by Andrew Evans, Richard Odom, Lynn Resler, W. Mark Ford, Steve Prisley

“…We recorded overstory species composition and terrain variables at 338 points, to construct a robust, spatially predictive model. …”
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Determinants Factors in Predicting Life Expectancy Using Machine Learning by B. Kouame Amos, I. V. Smirnov

“…At the end of our study, we concluded that the variables that best explain life expectancy are adult mortality, infant mortality, percentage of expenditure, measles, under-five mortality, polio, total expenditure, diphtheria, HIV / AIDS, GDP, longevity of 1.19 years, resource composition, and schooling. …”
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Risk Assessment Approach of Toll Road Operator by A. Yu. Talavirya, M. B. Laskin

“…All such factors are modeled in the AnyLogic environment as random variables with a rich choice of distribution functions and their parameters.Results. …”
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