Assessment of Changes in Toll Fares in Conditions of Increased Traffic Load by A. U. Talavirya, M. B. Laskin

“…As an example, a toll collection point on the main road direction of the Western High-Speed Diameter toll road was chosen.Materials and methods. A discrete-event simulation model developed in the AnyLogic software was used to assess the quality of operation and throughput of the toll collection point. …”
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INDICATORS AND REGIONAL PLANNING: PROMULGATE A COHERENCE by Iuli Nascimento

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Bulk System Reliability Assessment Incorporating Nodal Correlations in Supply–Demand Variabilities and Uncertainties Created with Net-Zero Emission Targets by Deeksha Sharma, Rajesh Karki

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Physics-based Simulation of the 2013 April 11 Solar Energetic Particle Event by Weihao Liu, Igor V. Sokolov, Lulu Zhao, Tamas I. Gombosi, Nishtha Sachdeva, Xiaohang Chen, Gábor Tóth, David Lario, Ward B. Manchester IV, Kathryn Whitman, Christina M. S. Cohen, Alessandro Bruno, M. Leila Mays, Hazel M. Bain

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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 paper describes a discrete state-space model and accompanying methods for generative modeling. …”
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Settling the debate: does digitalisation impact the economic growth in the European Union Member States? by Oana-Ramona Lobonț, Cristina Criste, Ciel Bovary, Alexandra-Mădălina Țăran

“…Specifically, our study aims to evaluate the effects of the implementation of digital tools on economic growth in the Member States of the European Union (EU-27) from 2017 to 2021. Two advanced methods, Principal Component Analysis (PCA) and the Ordinary Least Square model (OLS), were employed to conduct the empirical research. …”
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Integrating Drone-Based LiDAR and Multispectral Data for Tree Monitoring by Beatrice Savinelli, Giulia Tagliabue, Luigi Vignali, Roberto Garzonio, Rodolfo Gentili, Cinzia Panigada, Micol Rossini

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Emotional wellbeing in neurodivergent populations by J. David Pincus, Ken Beller

“…IntroductionUnderstanding emotional wellbeing in neurodivergent populations remains a critical yet underexplored area in psychological research.MethodsThis study employs AgileBrain, a novel assessment rooted in a neuroscience-informed model of human motivation, to evaluate emotional activation, valence, and unmet emotional needs across a large and diverse sample of adults reporting diagnosed neurodivergent conditions. …”
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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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Historical Character as Realization of National Model of Image-Character in Russian Literature of the First Third of the 19^th Century (N. A. Polevoy’s “Krakow Castle”)... by E. M. Dzyuba

“…The work focuses on the methods of creating a national type of character, his role in the organization and development of the plot, the implementation of the idea of the story. …”
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Determinants Factors in Predicting Life Expectancy Using Machine Learning by B. Kouame Amos, I. V. Smirnov

“…The aim of this article is to identify the factors that determine life expectancy.   Materials and Methods. Our research uses the  Pearson  correlation coefficient  to assess correlations between indicators, and we use multiple linear regression models,  Ridge regression, and Lasso regression  to measure the impact of each indicator on  life expectancy .  …”
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Machine learning for discrimination of phase‐change chalcogenide glasses by Qundao Xu, Meng Xu, Siqi Tang, Shaojie Yuan, Ming Xu, Wei Zhang, Xian‐Bin Li, Zhongrui Wang, Xiangshui Miao, Chengliang Wang, Matthias Wuttig

“…Particularly in electronic phase‐change memory applications, distinguishing these glasses from neighboring compositions that do not possess memory capabilities is inherently difficult when employing traditional analytical methods. …”
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Psychometric properties of the Danish SDM-Q-9 questionnaire for shared decision-making in patients with pelvic floor disorders and low back pain: item response theory modelling by Mette Hulbaek, Sofie Ronja Petersen, Charlotte Ibsen

“…Discrimination parameters (a-scores) for the model ranged from 2.39 (item 1) to 4.48 (item 8). …”
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Longan Flower Ethanol Extract, <i>Dimocarpus longan</i> Lour, Mitigates Oxidative Damage and Inflammatory Responses While Promoting Sleep-Related Enzymes in Cell Models by Chao-Chun Ma, Ming-Chang Hsieh, Wei-Lun Chiang, Yi-Wen Chen, Pin-Chao Huang, Chin-Hsiu Yu, Shao-Yu Lee, Tin-Ching Chung, Hsi-Chi Lu, Yu-Wei Chang

“…This study aims to investigate the chemical composition and bioactive effects of LFE on inflammation, oxidative stress, and melatonin biosynthesis in relevant cellular models. …”
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Electrochemical and biomimetic deposition of calcium phosphates on titanium alloys by A.E. Doroshenko, V.K. Krut’ko, O.N. Musskaya, A.I. Kulak

“…A layer of amorphized apatite was applied to the coatings using the biomimetic method in a 3-fold concentrated model solution of Simulated Body Fluid to improve biocompatibility. …”
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Risk Assessment Approach of Toll Road Operator by A. Yu. Talavirya, M. B. Laskin

“…The return on investment in infrastructure projects is of a long-term nature, therefore, the task of assessing the risks of possible losses by the toll road operator is quite relevant.Materials and methods. The main research tool is simulation modeling in the AnyLogic software environment, the analysis of the data obtained as a result of simulation was carried out in the environment of the statistical package R. …”
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A high-saturated, long-chain fatty acid ketogenic diet negatively impacts visual and motor-sensory function in a pre-clinical model of multiple sclerosis by Erin N. Capper, Erin N. Capper, Jeffrey J. Anders, Jeffrey J. Anders, Jeffrey J. Anders, Benjamin W. Elwood, Benjamin W. Elwood, Randy H. Kardon, Randy H. Kardon, Oliver W. Gramlich, Oliver W. Gramlich, Oliver W. Gramlich, Oliver W. Gramlich

“…Current research examining the effects of ketogenic diet (KD) as cotherapy show promising anti-inflammatory properties, but research remains limited by differences in experimental set-up and KD composition. The purpose of our study was to use functional and structural biomarkers to determine the neuroprotective effects of a KD composed of long-chain, saturated fatty acids and how the timing of its implementation impacts these biomarkers in an experimental autoimmune encephalomyelitis (EAE) model.MethodsEAE was induced in 80 female C57BL/6J mice by immunization with MOG35-55 and randomly assigned to stay on the standard diet or to start the KD at one of three time points (preconditioned, prophylactic, or late). …”
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INTEGRATED APPROACH TO ASSESSING THE SEISMIC HAZARD OF URBAN AREAS IN SOUTHERN PRIANGARIE (CASE OF THE LEFT BANK OF THE ANGARA RIVER IN IRKUTSK) by A. Yu. Eskin, V. I. Dzhurik, S. P. Serebrennikov, E. V. Bryzhak

“…Based on the estimations, an initial signal is formed (taking into account the potential earthquake focal zones, their parameters and the spectral composition of vibrations corresponding to the local earthquakes), and a required set of seismic models is developed in order to quantify the parameters of soil motions that may take place in the event of a strong earthquake. …”
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ON THE CALCULATION OF SECTIONS REINFORCED BY REPAIR COMPOUNDS by A. V. Kolleganov, N. A. Kolleganov, D. R. Mailyan, G. V. Nesvetaev

“…The aim of the study isto assess the influence of concrete deformation properties during the restoration and (or)  reinforcement of reinforced-concrete sections using repair compounds.Methods. In the study, a method of calculation of the load-carrying capacity of concrete sections is used according to a non-linear  deformation model using diagrams of concrete deformation, taking  into account the influence of the confinement effect and prescription  factors on the deformation properties of concrete. …”
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Mapping and discrimination of the mineralization potential in the Bonako area (Central Cameroon Domain): Insights from Landsat 9 OLI data, GIS fuzzy modeling techniques and field o... by Nguimezap Marie Madeleine, Fozing Eric Martial, Safianou Ousmanou, Achu Megnemo Ludovic, Sobze Yemdji Robinson Belmien, Sawadogo Sâga

“…In this study, the discrimination of lithological units with hydrothermally altered deposits is investigated by combining Landsat 9 OLI data, fieldwork descriptions, GIS fuzzy modeling techniques, and remote sensing approaches including false color composite (FCC), de-correlation stretch (DS), standard principal component analysis (PCA) and minimum noise fraction (MNF). …”
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