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    Directions of transformation of the public administration system in the conditions of urbanization changes by L.V. Serhiienko, I.V.Novosolov

    Published 2020-06-01
    “…Taking into account the tendencies of urban expansion, agglomeration and transformation of megacities into centers of production of important management decisions, the formation of the world agenda, urbanization issues are recognized as one of the most urgent and relevant today. After all, the processes of urbanization affect all fields of society as a whole, and is an important factor influencing the safe coexistence of citizens in a particular area. …”
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  3. 3703

    Logical Synchrony Networks: A Formal Model for Deterministic Distribution by Logan Kenwright, Partha Roop, Nathan Allen, Sanjay Lall, Calin Cascaval, Tammo Spalink, Martin Izzard

    Published 2024-01-01
    “…In the modelling of distributed systems, most Model of Computations (MoCs) rely on blocking communication to preserve determinism. …”
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  4. 3704

    On the causes of fires and accidents in coal mines by Yu. I. Voitenko, S. V. Goshovskyi, S. V. Zaichenko

    Published 2025-03-01
    “…Dynamic phenomena in coal mines, which occur during the extraction of hard coal, are among the most dangerous hazards in the mining industry, often leading to accidents and loss of life. …”
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  5. 3705

    The essence, features and stages in the development of urbanization by L.V. Sergienko, K.M. Voitsitska

    Published 2019-12-01
    “…It is established that urbanization is a complex global process that influences the socio-economic development of regions, and its characteristic features are defined. …”
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  6. 3706

    Revolutionizing municipality performance evaluation: A dynamic network fusion of BSC and DEA by Yusof Chaharlang, Hamed Soleimani, Esmaeil Mehdizadeh, Alireza Alinejad

    Published 2025-03-01
    “…The model estimated efficiency values for each period, showing an average overall score of 0.857, with specific scores for financial (0.94), learning and growth (0.83), internal processes (0.96), and customer (0.34). Statistically significant correlations were found between most perspectives, except financial and learning/growth. …”
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  7. 3707

    Optimization of Wear Behaviour on Mg-TiO2 Nanocomposite Using Taguchi Grey Relational Analysis by Radhakrishnan Ganesh, K. Kannapiran, R. Saranraj, G. Praburam

    Published 2023-04-01
    “…ANOVA (Analysis of variance) is carried out to estimate the process parameter that influences the wear behaviour of the nanocomposite significantly and later concluded that the process parameter normal load is the most significant factor other than any other factors.…”
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    Prediction and Prioritization of Individual and Organizational Factors Affecting Turnover Intention based on Fuzzy Delphi and Analytical Hierarchy Process (AHP) Method: A Case Stud... by Davoud Afshari, Gholam Abbas Shirali, Zohre Shabgard

    Published 2024-09-01
    “…In the final step, the identified factors were weighted and prioritized using the Analytical Hierarchy Process (AHP). Results: A total of 32 effective factors influencing the desire to leave work were identified and categorized into four groups: individual factors, organizational factors, job factors, and job-related factors. …”
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    Cosmic rays escape from their sources by A. Marcowith

    Published 2025-01-01
    “…Different models have tried to account for the escape process. However, all show some limitations due to the complexity of the particle release mechanism, usually involving 3D geometry, with specific magnetic turbulence properties linked to the process itself. …”
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    Application of Even Span Greenhouse Solar Dryer (ESGSD) for drying Persian shallot; Kinetic analysis, machine learning modeling and quality evaluation by Morteza Taki, Mohammad Noshad, Mohammad Mehdi Jasemi, Fatemeh Isvandi

    Published 2025-04-01
    “…Additionally, the study includes color analysis, kinetic modeling and mass prediction of dried shallot using Gaussian Process Regression (GPR) model. The results showed that for the oven drying methods at 50 °C and 60 °C, the Modified Midilli model had the highest accuracy, while for 70 °C the Hasibuan and Daud was the most accurate model. …”
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