Functional approach to object intellectualization based on complex engineering by A. I. Mokhov, R. V. Dushkin

“…According to the authors, this will allow us to reach new frontiers in the field of creating “smart” systems for managing technological and managerial processes in various branches of human economic activity.…”
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Validation of Organizational Isomorphism Model Using Fuzzy Delphi Method by Najmeh Rezasoltani, Mehrdad Moharramzadeh, Nasrin Azizian Kohan, Abbas Naghizadeh-Baghi

“…In the qualitative part, the process of data analysis continued until reaching theoretical saturation. …”
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A system approach to the modeling of fungal infections of the wheat leaf by S. V. Nikolaev, U. S. Zubairova, E. S. Skolotneva, E. A. Orlova, D. A. Afonnikov

“…Currently, to develop a system for modeling the development of an infection in a crop, it is necessary to determine a large body of available experimental data and, by taking into account this data, we can put together a model as a system consisting of model modules, for which the models of basic processes have already been developed and described.…”
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Research on the elastoplastic localized damage constitutive model of raw coal by Susheng WANG, Shengqi YANG, Qiang ZHANG, Zhennan ZHU

“…The results demonstrate that the model can capture the primary nonlinear characteristics of raw coal during triaxial compression tests. …”
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Methods for Applying Matrices when Creating Models of Group Pursuit by A. A. Dubanov

“…Its result should be the construction of a model of automated distribution of pursuers by goals in group pursuit.Materials and Methods. …”
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Computational machine learning estimation of digitoxin solubility in supercritical solvent at different temperatures utilizing ensemble methods by Hadil Faris Alotaibi, Waqed H. Hassan, Ahmed Kateb Jumaah Al-Nussairi, Narinderjit Singh Sawaran Singh, Ahmed Salah Al-Shati, M. M. Rekha, Subhashree Ray, Aashna Sinha, Gunjan Garg

“…Sailfish Optimizer (SFO) is utilized for hyper-parameter tuning to enhance model performance. Results reveal that AdaBoost combined with ADA-GPR exhibits the lowest Average Absolute Relative Deviation (AARD%) values, with solubility achieving 7.74 and solvent density reaching 2.76, respectively. …”
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Heavy Precipitation Forecasts Based on Multi-model Ensemble Members by Zhi Xiefei, Zhao Chen

“…In terms of the prediction of precipitation area, results effectively optimize the area of heavy and light precipitation, making the multi-model ensemble precipitation after calibration best in predicting heavy precipitation processes.…”
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Identifying and Prioritization the Factors Affective the Development of Industrial Clusters With Knowledge-based Companies by Javadj Mir, Hassan Dehghan dehnavi, Mozhde Rabbani

“…The research method is applied according to the purpose, and mixed (qualitative-quantitative) with an exploratory approach, according to the type of data; In this way, by using the meta-combination method in the field of industrial cluster development, research indicators were identified, the identified factors and components were weighed with the opinion of experts and based on the Fuzzy Hierarchy Analysis Process (FAHP) model, the factors were analyzed and combined, and Finally, prioritization was done.The statistical community in the qualitative part of the research included 17 experts and managers expert in production, who were selected non-probably and judgmentally, and the required information was collected from them using the Delphi method. …”
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Optimal design of a hybrid system composed of coagulation process and multi-stage filtration unit for on-site treatment of greywater in rural area by Zahra Akbari, Fereshteh Nourmohammadi Dehbalaei, Zahra Mohammad Hosseini, Seyed Taghi Omid Naeeni

“…Based on the optimization-simulation model and experimental results, coagulation process followed by a filtration unit consisting of 17 cm of fine sand, 9 cm of medium sand and 34 cm of activated carbon results in the maximum efficiency and can reduce the COD and turbidity of greywater by 90.12% and 99.03%, simultaneously.…”
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Model of Dynamic Mechanical Parameters and Vibration Analysis in Hot Rolling by Ming Zhang, Zihao Huang, Yanbo Yang

“…The horizontal-torsion hot rolling vibration model is further established to quantitatively analyze the relationship between process parameters and mill vibration. …”
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Models of on-line retail clients’ behavior in conditions of digital transformation by I. S. Pushkin

“…The involvement of clients into the process of product development at the initial stage forms the 5th model – ‘Client’s involvement’. …”
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PRINCIPLES AND MODELS OF CONSUMER SEGMENTATION IN THE BANKING PRODUCTS AND SERVICES MARKET by Andrey V. Tsarev

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Mathematical modeling of donor liver cooling during hypothermic perfusion by A. V. Bukharov, A. F. Ginevsky, I. S. Seregin, B. I. Yaremin, E. Yu. Anosova, B. I. Kazymov, M. S. Novruzbekov

“…For modeling the liver cooling process, the Navier-Stokes equation system was used, accounting for porous media and heat transfer parameters. …”
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Designing a model of effective marketing capabilities based on communication by Yoones Banisaeed, Ghanbar Amirnejad, Morteza mousakhani, Leila Andervazh

“…Marketing assets and capabilities are the foundation of business units; and customer relationship, production or promotion, and customer orientation are based on knowledge and process (Emami et al, 2022). Therefore, this research seeks to answer the question: What is the model of effective marketing capabilities based on communication? …”
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Exploring Chicken Feathers as a Cost-Effective Adsorbent for Aqueous Dye Removal by Marcela Caovilla, Carolina E. Demaman Oro, Rúbia Mores, Luciana D. Venquiaruto, Marcelo L. Mignoni, Marco Di Luccio, Helen Treichel, Rogério Marcos Dallago, Marcus V. Tres

“…Feathers, activated with 1.0 mol/L HCl, exhibited a maximum adsorption capacity at 70 °C and pH 5.5, as determined from Langmuir isotherm modeling. A 2² central composite rotatable design revealed that temperature and pH significantly influence the adsorption efficiency, with higher temperatures favoring the process. …”
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Chinese Sequence Labeling Based on Stack Pre-training Model by LIU Yu-peng, LI Guo-dong

“…Sequence labeling is an important task in natural language processing. In this paper, according to the relevance of tasks, we use stacking pretraining model to extract features, segment words, and name entity recognition/chunk tagging.Through in-depth research on the internal structure of BERT, while ensuring the accuracy of the original model, the Bidirectional Encoder Representation from Transformers （BERT） is optimized, which reduces the complexity and the time cost of the model in the training and prediction process.In the upper layer structure, compared with the traditional long-short-term memory network (LSTM), this paper uses a two-layer bidirectional LSTM structure, the bottom layer uses a bidirectional long-short-term memory network (Bi-LSTM) for word segmentation, and the top layer is used for sequence labeling tasks.On the New Semi-Conditional Random Field (NSCRF), the traditional semi-Markov Conditional Random Field (Semi-CRF) and Conditional Random Field (CRF) are combined while considering the segmentation.The labeling of words improves accuracy in training and decoding. …”
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Designing Iran's National Branding Model through the Sport Industry by Mahboubeh Khodaparast

“…The main goal of the current research was to design a national branding model of Iran through the sport industry. This research was conducted using Grounded theory qualitative method. …”
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Multiple Coupled Mathematical Model for Radionuclide Electromigration Experiments in Granites by Xiao-jie LI, Kai-xuan TAN, Long-cheng LIU, Yong-mei LI, Chun-guang LI, Zhi ZOU, Qi LIU

“…When the partition coefficient Kd between the solution phase and the solid phase is fixed and β is large to a certain extent, the new model reaches a linear adsorption state. (3) Using this model to analyze the electromigration experimental data of I− and Sr2+, the \begin{document}$D_{\mathrm{m}}^{\mathrm{e}} $\end{document} of I− without electric field is （2.25±0.35）×10−14 m2/s, and the \begin{document}$D_{\mathrm{m}}^{\mathrm{e}} $\end{document} of Sr2+ without electric field is （4.80±0.31）×10−13 m2/s. …”
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Polysomnographic titration of non-invasive ventilation in motor neurone disease (3TLA): protocol for a process evaluation of a clinical trial by Marnie Graco, David J. Berlowitz, Abbey Sawyer, Anne E. Holland, Kate A. Carey, Yasmin Ahamed, Anna Ridgers, Natasha A. Lannin, the 3TLA trial Group

“…This protocol paper describes the rationale, aims and methods of the 3TLA process evaluation. Methods To guide the design of the process evaluation, a logic model representing the 3TLA intervention, the likely mechanisms of impact, potential external contextual factors and assumptions, and the anticipated outcomes was developed by the researchers in collaboration with the 3TLA Trial Steering Committee. …”
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Simulation and Modeling of Convective Mixing of Carbon Dioxide in Geological Formations by Marco De Paoli, Francesco Zonta, Lea Enzenberger, Eliza Coliban, Sergio Pirozzoli

“…Finally, we provide a simple and yet accurate physical model describing the mass of solute entering the system throughout the whole mixing process. …”
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