Статті в журналах: "Toom model"

1

Ayyer, Arvind. "A finite variant of the Toom Model." Journal of Physics: Conference Series 638 (September 3, 2015): 012005. http://dx.doi.org/10.1088/1742-6596/638/1/012005.

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2

Barabási, Albert-László, Mariela Araujo, and H. Eugene Stanley. "Three-dimensional Toom model: Connection to the anisotropic Kardar-Parisi-Zhang equation." Physical Review Letters 68, no. 25 (June 22, 1992): 3729–32. http://dx.doi.org/10.1103/physrevlett.68.3729.

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3

Shapira, Assaf, and Kay Jörg Wiese. "Anchored advected interfaces, Oslo model, and roughness at depinning." Journal of Statistical Mechanics: Theory and Experiment 2023, no. 6 (June 1, 2023): 063202. http://dx.doi.org/10.1088/1742-5468/acd2bb.

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Abstract There is a plethora of one-dimensional advected systems with an absorbing boundary: the Toom model of anchored interfaces, the directed exclusion process where in addition to diffusion particles and holes can jump over their right neighbour, simple diffusion with advection, and Oslo sandpiles. All these models share a roughness exponent of ζ = 1 / 4 , while the dynamic exponent z varies, depending on the observable. We show that for the first three models z = 1, z = 2, and z = 1 / 2 are realized, depending on the observable. The Oslo model is apart with a conjectured dynamic exponent of z = 10 / 7 . Since the height in the latter is the gradient of the position of a disordered elastic string, this shows that ζ = 5 / 4 for a driven elastic string at depinning.

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4

Hutchins, M., K. Urama, E. Penning, J. Icke, C. Dilks, T. Bakken, C. Perrin, T. Saloranta, L. Candela, and J. Kämäri. "The model evaluation tool: guidance for applying benchmark criteria for models to be used in river basin management." River Systems 17, no. 1-2 (July 28, 2006): 23–48. http://dx.doi.org/10.1127/lr/17/2006/23.

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5

Icke, J., K. J. van Heeringen, S. Groot, and M. Ouboter. "Model Evaluation Tool experiences for the Amstel River." River Systems 17, no. 1-2 (July 28, 2006): 97–113. http://dx.doi.org/10.1127/lr/17/2006/97.

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6

Denpaiboon, Chaweewan, and Pornchai Jantaworn. "Structural Equation Models for Building Awareness and Acceptance of Public Participation in Thailand’s Comprehensive Urban Planning Procedures." Journal of Architectural/Planning Research and Studies (JARS) 13, no. 2 (December 30, 2016): 57–68. http://dx.doi.org/10.56261/jars.v13i2.81274.

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A comprehensive planning procedure is the key for urban development. It is considered as a highly concrete approach to enable the enforcement of a comprehensive urban plan, which indicates the future direction of urban development. This study aims to develop Structural Equation Modelling (SEM) to build perception and acceptance in civic society to participate in the comprehensive planning procedure of the SEM technique. Factors were identified that affect the perception and acceptance of public participation in urban planning procedures. The Baan Bueng District of Chonburi Province and the Khok Toom Community in Lopburi Province were selected as case studies because these areas were operating with comprehensive planning procedures at the time of the study. The study argued that planning model combines with participatory approach plays an important role in filling this gap. This method of planning procedures will need to be adapted with existing factors and influences in urban setting. A literature review of these factors was conducted to explain the empirical results that indicated most people lacked a knowledge and access to the information of urban planning to prepare for participation process. This study focuses on those residents who receive information or attitude to accept on a comprehensive urban planning procedures, which SEM is an instrument for analyzing development process in their areas and to participate in a comprehensive plan. From a preliminary analysis of the social-economic group with participation factors. The results showed that there is contras variation in negative with attitudes and accept of the urban planning procedures. In principle of a statistically significant result considering from the group’s participants in the planning procedures. The Respondents are volunteer group of community and elderly group, who had less education and unstable career prepared to the working group did not participate in any activities. Hence, people participation is the key in development of urban planning procedures, which stakeholders must participate in order to accept in the urban planning process. This forms of participation process in currently process is currently in progress, is considered at the first stages of participation concept and most abstract, affect in lower perception and acknowledgement of participation. In performing the many tasks required in this process the planning procedure is costly both in terms of processing time and budget. Local administrative agencies still need concrete decision-making tools and measures to overcome difficulties and obstacles.

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7

Broszkiewicz-Suwaj, Ewa, and Leszek Kuchar. "RAINFALL DERIVATIVES AS A RISK MANAGEMENT TOOL FOR GRAIN PRODUCERS: DAILY MODEL VS. INDEX MODEL." Acta Scientiarum Polonorum Formatio Circumiectus 19, no. 1 (April 20, 2020): 13–20. http://dx.doi.org/10.15576/asp.fc/2020.19.1.13.

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8

Jinnah, H. A., Vladimir Neychev, and Ellen J. Hess. "The Anatomical Basis for Dystonia: The Motor Network Model." Tremor and Other Hyperkinetic Movements 7 (October 23, 2017): 506. http://dx.doi.org/10.5334/tohm.383.

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9

Lee, Jihyun, Inyong Kim, Jeyeon Lee, Emily Knight, Lei Cheng, Shin Il Kang, Dong Pyo Jang, and Su-Youne Chang. "Development of Harmaline-induced Tremor in a Swine Model." Tremor and Other Hyperkinetic Movements 8 (March 13, 2018): 532. http://dx.doi.org/10.5334/tohm.406.

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10

Sciandra, M., and A. Plaia. "A graphical model selection tool for mixed models." Communications in Statistics - Simulation and Computation 47, no. 9 (August 23, 2017): 2624–38. http://dx.doi.org/10.1080/03610918.2017.1353617.

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11

SMATANA, Miroslav, Viktória MARTINKOVÁ, Dominika MARŠÁLEKOVÁ, and Peter BUTKA. "INTERACTIVE TOOL FOR VISUALIZATION OF TOPIC MODELS." Acta Electrotechnica et Informatica 19, no. 2 (June 30, 2019): 45–50. http://dx.doi.org/10.15546/aeei-2019-0014.

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12

Chujai, Pasapitch, Nittaya Kerdprasop, and Kittisak Kerdprasop. "On Transforming the ER Model to Ontology Using Protégé OWL Tool." International Journal of Computer Theory and Engineering 6, no. 6 (December 2014): 484–89. http://dx.doi.org/10.7763/ijcte.2014.v6.914.

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13

Handforth, Adrian. "Harmaline Tremor: Underlying Mechanisms in a Potential Animal Model of Essential Tremor." Tremor and Other Hyperkinetic Movements 2 (September 12, 2012): 02. http://dx.doi.org/10.5334/tohm.108.

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14

Cheng, Melody M., Guomei Tang, and Sheng-Han Kuo. "Harmaline-Induced Tremor in Mice: Videotape Documentation and Open Questions About the Model." Tremor and Other Hyperkinetic Movements 3 (December 9, 2013): 03. http://dx.doi.org/10.5334/tohm.139.

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15

Louis, Elan D., and Abhishek Lenka. "The Olivary Hypothesis of Essential Tremor: Time to Lay this Model to Rest?" Tremor and Other Hyperkinetic Movements 7 (July 13, 2017): 473. http://dx.doi.org/10.5334/tohm.380.

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16

Woś-Szymanowska, Agnieszka. "Process Communication Model – an effective tool supporting education." Edukacyjna Analiza Transakcyjna 7 (2018): 15–26. http://dx.doi.org/10.16926/eat.2018.07.01.

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17

Vettermann, J., S. Sauerzapf, A. Naumann, M. Beitelschmidt, R. Herzog, P. Benner, and J. Saak. "MODEL ORDER REDUCTION METHODS FOR COUPLED MACHINE TOOL MODELS." MM Science Journal 2021, no. 3 (June 30, 2021): 4652–59. http://dx.doi.org/10.17973/mmsj.2021_7_2021072.

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Thermal effects are the most dominant source for displacements in machine tools and thus work-piece inaccuracies during the manufacturing process. A promising strategy to meet the ever-increasing accuracy requirements is the use of predictive models for, e.g., parameter and design op-timizations or online correction of the thermally induced error at the tool center point (TCP) in the pro-duction process. However, these techniques require fast but precise simulations. The need for high model accuracy is in direct contrast to the desired real-time capabilities. Model order reduction (MOR) is an attractive tool to overcome this problem. A modeling toolchain, which is tailored for the effective construction of fast and accurate models is proposed and demonstrated, emphasizing the involved MOR step.

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18

Coskun, Sarp A., A. Ercument Cicek, Nicola Lai, Ranjan K. Dash, Z. Meral Ozsoyoglu, and Gultekin Ozsoyoglu. "An online model composition tool for system biology models." BMC Systems Biology 7, no. 1 (2013): 88. http://dx.doi.org/10.1186/1752-0509-7-88.

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19

Šťastná, M., and E. Stenitzer. "SIMWASER model as a tool for the assessment of soil water balance." Plant, Soil and Environment 51, No. 8 (November 19, 2011): 343–50. http://dx.doi.org/10.17221/3609-pse.

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The objectives of our study were to apply, test and to present the ability of the deterministic simulation model SIMWASER computing soil-water balance components. Two case studies for the assessment of percolation losses from irrigated carrots to deep groundwater at Obersiebenbrunn in the Marchfeld (Austria) and ground water recharge and capillary rise from shallow groundwater in grass lysimeters at Berlin-Dahlem (Germany) are presented to demonstrate the performance of the model by a comparison between measured and simulated results from the field experiments. At Obersiebenbrunn, simulated percolation and evapotranspiration were 183 and 629 mm, while the respective measured values amounted to 198 and 635 mm. In Berlin-Dahlem simulated capillary rise and evapotranspiration were –122 and 458 mm, whereas the measurement showed –155 and 454 mm. These results showed the SIMWASER method as a good applicable tool to demonstrate and study plant – soil – water relationships as well as influence of land use, especially on ground water recharge.

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20

MAZENAN, Mohd Nizam, Tian Swee TAN, Sarah Samson SOH, Azran Azhim Noor AZMI, Hirofumi NAGASHINO, Masatake AKUTAGAWA, Raja IZAMSHAH, Mohd SHAHIR KASIM, and Teruaki ITO. "1306 Malay articulation disorder diagnostic tool design by using Hidden Markov Model." Proceedings of Design & Systems Conference 2015.25 (2015): _1306–1_—_1306–11_. http://dx.doi.org/10.1299/jsmedsd.2015.25._1306-1_.

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21

Pan, Ming-Kai, Chun-Lun Ni, Yeuh-Chi Wu, Yong-Shi Li, and Sheng-Han Kuo. "Animal Models of Tremor: Relevance to Human Tremor Disorders." Tremor and Other Hyperkinetic Movements 8 (October 9, 2018): 587. http://dx.doi.org/10.5334/tohm.440.

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22

Fernández Ropero, Rosa María, Pedro Aguilera Aguilera, Antonio Fernández, and Rafael Rumí. "Redes bayesianas: una herramienta probabilística en los modelos de distribución de especies." Ecosistemas 23, no. 1 (April 11, 2014): 54–60. http://dx.doi.org/10.7818/ecos.2014.23-1.08.

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23

Gaytán Solís, José Eduardo Guadalupe, Ricardo González Saldívar, and Edrisi Muñoz Mata. "Herramienta de gestión de Modelos Ontológicos aplicados a la Mejora de Procesos Software." RECIBE, REVISTA ELECTRÓNICA DE COMPUTACIÓN, INFORMÁTICA, BIOMÉDICA Y ELECTRÓNICA 2, no. 3 (December 5, 2013): C6–1—C6–22. http://dx.doi.org/10.32870/recibe.v2i3.21.

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Actualmente el software representa un componente principal en el desarrollo de las actividades dentro de las organizaciones. Este hecho hace que la calidad del software sea uno de los principales factores claves a los que se dedica mucho esfuerzo. La calidad del software permite de manera implícita la creación de valor agregado al software durante su desarrollo, resultando en un factor de competitividad en estas organizaciones. Éste trabajo propone una solución inteligente mediante el uso de gestión del conocimiento, con el fin de hacer que la aplicación de teorías de ingeniería de software, modelos y estándares de mejora de procesos sea de fácil implementación y a un menor costo. Específicamente, en este trabajo se presenta el desarrollo de un modelo ontológico basado el Cuerpo de Conocimientos de la Ingeniería de Software (SWEBOK por las siglas en inglés de Software Engineering Body of Knowledge) así como su aplicación práctica mediante un sistema software. Finalmente se presentan los resultados de la implementación de técnicas, métricas y actividades correspondientes al área de conocimiento de pruebas de software de SWEBOK. Así mismo se presentan resultados de la integración del marco base de datos de lenguaje ontológico web (OWLDB por las siglas en ingles ontology web language data base), con el objetivo de almacenar datos de manera persistente durante la aplicación.

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24

Karnaukhova, Maria. "NARRATOLOGICAL MODELS AS A NEW PUBLIC GOVERNANCE RESEARCH TOOL." INTERNATIONAL JOURNAL OF NEW ECONOMICS, PUBLIC ADMINISTRATION AND LAW 1, no. 1 (May 15, 2018): 174–81. http://dx.doi.org/10.31264/2545-093x-2018-1(1)-174-181.

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25

Martínez-Moreno, Omaira Cecilia, and Gabriela Mondragón-Hernández. "Modelos de mercadotecnia como una herramienta para las Pymes en México." Revista científica anfibios 3, no. 1 (June 30, 2020): 47–51. http://dx.doi.org/10.37979/afb.2020v3n1.61.

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En el presente artículo se realiza un análisis de los modelos básicos de mercadotecnia como una herramienta para el desarrollo de un plan de mercadotecnia para las Pymes en México, considerando los cuatro conceptos básicos de Producto, Precio, Plaza y Promoción, y los retos que representa para su aplicación desde el nacimiento y desarrollo de este modelo de empresas, las cuales, bien se sabe que tienen una alta tasa de desaparición en México, y sin dejar de lado que los empresarios pueden encontrar en la mezcla de mercadotecnia una más rápida colocación de sus productos o servicios, y lo que buscan toda empresa que es la rentabilidad del negocio y la permanencia en el mercado.

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26

Yankov, Vladimir. "POSSIBILITIES FOR ADAPTING SECURITY CULTURE MODEL AND ASSESSMENT TOOL FOR THE CORPORATE SECTOR." Journal Scientific and Applied Research 21, no. 1 (November 15, 2021): 36–39. http://dx.doi.org/10.46687/jsar.v21i1.317.

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Each organization forms a unique organizational culture in accordance with the intentions and behavior of management, social and business environment in which it operates, the characteristics of employees, the presence of subcultures, etc. The characteristics of the organizational culture that are relevant to security form the security culture in that organization. It is important to implement security culture model and assessment tools for proper management of the human factors involved in security. This article explores the possibilities to adapt the existing models of security culture and the tools for its assessment for the needs of corporate sector.

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27

Fiala, Roman, and Jana Borůvková. "Linear regression model as a tool for measuring organizational capital." Acta Universitatis Bohemiae Meridionalis 14, no. 1 (October 2, 2012): 7–13. http://dx.doi.org/10.32725/acta.2011.001.

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28

Dewi, Nugrahaning Sani, M. Faiz Syuaib, and Lenny Saulia. "Ergonomic Risk Assesment’s Tool of Oil Palm Manual Harvesting." Jurnal Keteknikan Pertanian 03, no. 1 (April 1, 2015): 17–24. http://dx.doi.org/10.19028/jtep.03.1.17-24.

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29

Sahin, Abdurrahman, and Alemdar Bayraktar. "Computational finite element model updating tool for modal testing of structures." Structural Engineering and Mechanics 51, no. 2 (July 25, 2014): 229–48. http://dx.doi.org/10.12989/sem.2014.51.2.229.

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30

Wode, Kristin, Tom Strube, Eva Schischke, Markus Hadam, Sarah Pabst, and Annedore Mittreiter. "Tool Chain for Deriving Consistent Storage Model Parameters for Optimization Models." Energies 16, no. 3 (February 3, 2023): 1525. http://dx.doi.org/10.3390/en16031525.

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Since existing energy system models often represent storage behavior in a simplified way, in this work, a tool chain for deriving consistent storage model parameters for optimization models is developed. The aim of our research work is to identify what are non-negligible influences on the the technical characteristics and dynamic behavior of the storage, to quantify the effect of these influences, and represent these effects in the model. This paper describes the developed tool chain and presents its application using an example. The tool chain consists of the steps “parameter screening”, “dynamic simulation”, “regression analysis” and “refining optimization model”. It is investigated which parameters have an influence on the storage system (here pumped hydroelectric energy storage (PHES)), how the storage behavior is modeled, which influencing factors have a measurable effect on the system, and how these findings can be integrated into optimization models. The main finding is that in the case of PHES, the dependency of the charging and discharging efficiency on the power is significant, but no further influencing factor has to be considered for accurate modeling (0.946 ≤ R2 ≤ 0.988) of the efficiency. It is concluded that the presented toolchain is suitable for other storage technologies as well, including the analysis of aging behavior.

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31

Singh, Vishal, and Mohit Law. "Machine tool multibody dynamic model updating using vision-based modal analysis." Manufacturing Technology Today (MTT) 22, no. 2 (February 1, 2023): 23–28. http://dx.doi.org/10.58368/mtt.22.2.2023.23-28.

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32

Altherr, Nicolas, Andreas Lange, Marco Zimmermann, Benjamin Kirsch, and Jan C. Aurich. "Kinematic simulation model for micro grinding processes using detailed tool models." Procedia CIRP 117 (2023): 237–42. http://dx.doi.org/10.1016/j.procir.2023.03.041.

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33

Tavares, Luis Antonio, Matheus Carvalho Meira, and Sérgio Ferreira do Amaral. "Interactive Mind Map: A Model for Pedagogical Resource." Open Education Studies 3, no. 1 (January 1, 2021): 120–31. http://dx.doi.org/10.1515/edu-2020-0145.

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Abstract This paper presents an extension of the mind map pedagogical tool, a conception in which the mind map becomes interactive and dynamic. We took advantage of all the mind map’s learning potential and benefits, and we add new ones when we propose the interactive mind map tool. We develop a model in which the teacher would have an authoring tool for creating a mind map with its elements, relationships, and interactive content related to each map element. The proposed tool is rich media, as it incorporates different types of media, allowing it to reach students with different learning profiles and needs. Furthermore, the technological aspect brings the school closer to the student’s reality.

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34

Grząba, Krzysztof. "Business intelligence as a tool to prepare for negotiations - conceptual model." e-mentor 98, no. 1 (March 2023): 22–30. http://dx.doi.org/10.15219/em98.1598.

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The aim of this article is to present an original, conceptual model of using business intelligence as a preparation tool for negotiations or as a complete preparatory phase. It was developed on the basis of the author's own research on information needs in the negotiation process, a literature review, and analysis of selected training outlines in the field of negotiations. The basis of the presented model is the traditional intelligence cycle adopted and extended for the needs of the aforementioned process. In the first part, the author outlines the issues of business intelligence in a company, describing its role and how it can be used to obtain information and make accurate decisions. He successively evokes the issues of negotiations, presenting selected models of the negotiation process with particular emphasis on the preparatory phase, and then presents selected tools used in the negotiations. The main part of the article is the author's model of using business intelligence in the negotiation process and a description of this model. The most important advantage of the presented model is that it can be used as a tool and even as a whole preparatory phase, covering all the necessary aspects at this stage to make appropriate decisions, i.e. developing strategies, tactics, potential scenarios, techniques, etc. This model is intended to create an advantage in negotiations based on knowledge.

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Shetty, Soumya, Janet Jyothi Dsouza, and Iqbal Thonse Hawaldar. "Rolling regression technique and cross-sectional regression: A tool to analyze Capital Asset Pricing Model." Investment Management and Financial Innovations 18, no. 4 (November 25, 2021): 241–51. http://dx.doi.org/10.21511/imfi.18(4).2021.21.

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The Capital Asset Pricing Model (henceforth, CAPM) is considered an extensively used technique to approximate asset pricing in the field of finance. The CAPM holds the power to explicate stock movements by means of its sole factor that is beta co-efficient. This study focuses on the application of rolling regression and cross-sectional regression techniques on Indian BSE 30 stocks. The study examines the risk-return analysis by using this modern technique. The applicability of these techniques is being viewed in changing business environments. These techniques help to find the effect of selected variables on average stock returns. A rolling regression study rolls the data for changing the windows for every 3-month period for three years. The study modifies the model with and without intercept values. This has been applied to the monthly prices of 30 BSE stocks. The study period is from January 2009 to December 2018. The study revealed that beta is a good predictor for analyzing stock returns, but not the intercept values in the developed model. On the other hand, applying cross-section regression accepts the null hypothesis. α, β, β2 ≠ 0. Therefore, a researcher is faced with the task of finding limitations of each methodology and bringing the best output in the model.

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Vasojević, Nena, Ivana Vučetić, and Snežana Kirin. "The Serbian primary school teachers' profiles regarding the preference for a teaching model during the COVID-19 pandemics." Norma 26, no. 1 (2021): 27–38. http://dx.doi.org/10.5937/norma2101027v.

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The quality of the teaching process highly depends on teachers and their qualifications, and the teacher's role plays a very important part in the implementation of the new teaching methods. The results presented in this paper are part of the quantitative study which investigated the primary teachers' perception of the online teaching model that has been realized in Serbia during the COVID-19 pandemic, in comparison to the traditional teaching model. The paper aims to define and present the teachers' profiles, based on their preference for a certain teaching model: the profile of the teachers who prefer working in the traditional teaching model, and the profile of the teachers who prefer working in the online teaching model, or do not make any difference between the two, based on the professional data and their statements and attitudes regarding the comparison of traditional and online teaching models. It was assumed that the teachers with less work experience, more professional training and higher education level would generally prefer the online teaching model. For the research purposes, the specialized two-part questionnaire was designed. The first part included questions concerning the socio-demographic background, while the second part investigated the teachers' attitudes towards the characteristics of the teaching process in both traditional and online teaching models. The independent-sample t-test was used to estimate the influence of previous training on the choice of the preferred teaching model. The research was conducted during January and February 2021. The research sample included 609 examinees. The research results showed that the choice of the preferred teaching model depends on the self-assessment of the teachers' competencies required for the online teaching model, as well as on the duration of the training in the field of Information and Communication Technologies, as a part of the regular professional improvement training. The initial assumption was only partially confirmed by the research results.

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37

SAKARINTO, Wikan, Hiroshi NARAZAKI, and Keiichi SHIRASE. "B8 A Knowledge-based Product Model Data for Integrating CAM-CNC Operation(Advanced machine tool)." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2009.5 (2009): 95–100. http://dx.doi.org/10.1299/jsmelem.2009.5.95.

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38

Vasojević, Nena A., Ivana T. Vučetić, and Snežana D. Kirin. "High school students’ perceptions of emergency remote teaching in Serbia during the COVID-19 pandemic." УЗДАНИЦА 18, no. 2 (2021): 35–50. http://dx.doi.org/10.46793/uzdanica18.ii.035v.

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Following the declaration of the state of emergency in Serbia, after the novel COVID-19 outbreak was declared a global pandemic, all the educational institutions in the country were closed, and the different modes of emergency remote teaching (ЕRТ) were introduced. In order to highlight the problems and attitudes of students, in regard to the newly introduced online-based emergency remote teaching model, we conducted a survey with high school students. The research question was how the unplanned switch from the traditional learning setting to online learning affected the learning practice, and what the outcomes of the integration of digital technology in education are. The aim of the study was to determine the best advantages and the biggest disadvantages of the introduced emergency remote teaching model, from the students’ point of view, during the initial phase of the teaching model implementation. The obtained results indicated the best advantages of the applied learning model in the domain of learning time management opportunities, and the biggest disadvantages in relation to the teaching and learning technical support problems and social distance. The results of this study could be used by policymakers and practitioners in order to prepare plans and programs for emergency remote teaching, and also to improve traditional teaching models.

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39

Vesely, J., and Matej Sulitka. "MACHINE TOOL VIRTUAL MODEL." MM Science Journal 2009, no. 04 (December 16, 2009): 147–52. http://dx.doi.org/10.17973/mmsj.2009_12_20090602.

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40

Moore, Jon. "Model Athletic Assessment Tool." Physical Educator 74, no. 72.5 (2017): 34–44. http://dx.doi.org/10.18666/tpe-2017-v74-si1-8551.

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41

Pickard, Michael M., and Jason R. Adams. "Model determination tool (MDT)." ACM SIGCSE Bulletin 35, no. 4 (December 2003): 76–78. http://dx.doi.org/10.1145/960492.960532.

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42

Ding, Nan, Wei Xue, Zhenya Song, Haohuan Fu, Shiming Xu, and Weimin Zheng. "An automatic performance model-based scheduling tool for coupled climate system models." Journal of Parallel and Distributed Computing 132 (October 2019): 204–16. http://dx.doi.org/10.1016/j.jpdc.2018.01.002.

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43

Stojadinović, Slavenko, Numan Durakbasa, and Saša Živanović. "An optimized and virtual on-machine measurement planning model." FME Transactions 48, no. 4 (2020): 745–52. http://dx.doi.org/10.5937/fme2004745s.

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The specific needs of customers set requirements like flexibility and custom-made products, as well as quick placement of products on the markets. Mass customization responds to these requirements and imposes new demands inside manufacturing systems such as optimization and virtualization of machining and measurement processes. A contribution in that direction is presented in this paper, pertaining to development and verification an on-machine measurement planning model. The aim of the verification is to visualize collision check between the measuring head placed in the tool holder and the workpiece on the machine tool working table. The virtual on-machine measurement was realized on the configured virtual machine tool LOLA HBG80 in the CAD environment. The measurement path is generated by a new planning methodology, then optimized using ants colony, programed and verified by simulations through few examples of standard forms of tolerance. The output of the simulation process is the G-code for real on-machine measurement for prismatic parts of medium and rough dimensional accuracy.

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44

Nikolić, Ivan, Miladin Kovačević, and Katarina Stančić. "Why EWSs for financial crises failed during the Covid-19 pandemic: The example of Serbia." Ekonomika preduzeca 71, no. 3-4 (2023): 151–60. http://dx.doi.org/10.5937/ekopre2303151n.

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Early warning systems (EWSs) are designed to anticipate future crises, giving policymakers optimism that they would be able to make proactive management decisions. The demonstration of EWSs effectiveness in the economy was clear throughout the Asian financial crisis at the end of the 1990s, the financial crisis of 2007-2008, the Great Recession, and the European sovereign debt crisis of 2008-2012. However, EWSs failed during the COVID-19 pandemic. Using Eichengreen et al. [13], Kaminsky et al. [23], and Sachs et al. [33] methodology, the paper explains this phenomenon by analyzing the determinants of currency crises episodes in the Republic of Serbia from January 2001 to December 2021. The complexity of the current crisis required a change of approach. As reflected by the Statistical Office of the Republic of Serbia, one of the solutions is to develop a Decision-Making Support System (DMSS). EWSs presented here could serve as one of the many inputs in the assessment and identification of financial crises. However, these models are not accurate enough to be used as the sole method to anticipate crises. Like other crisis models, they bring benefits but obviously have their drawbacks. That is why it would be good to put them under the auspices of a more complex DMSS. Again, for now DMSS should be seen just as a better alternative to earlier practice. This is neither a final nor an almighty option, but it must be further worked on in the future.

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45

VERGARA, FERNÁN, FERNANDA NODA, DENER SOUZA, GIRLENE FIGUEIREDO MACIEL, and ROBERTA OLIVEIRA. "Aplicação do Modelo Soil And Water Assesment Tool (Swat) na bacia hidrográfica do Ribeirão Taquaruçu." GOT - Journal of Geography and Spatial Planning, no. 21 (June 30, 2021): 159–87. http://dx.doi.org/10.17127/got/2021.21.007.

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The hydrological models are important tools to evaluate the hydrological behavior of watersheds, helping in the decision making. Thus, this study had the objective of evaluating the performance of the Soil and Water Assessment Tool (SWAT) model in the flow simulation in the Ribeirão Taquaruçu Hydrographic Basin. Flow data from two fluviometric stations were used from April 2013 to August 2015. The results of the sensitivity analysis indicated that the most influential parameters are the SOL_K (saturated hydraulic conductivity of the soil) and CN2 (curve number for the condition II). The Nash-Sutcliffe (NSE) objective functions and the determination coefficient (R2) indicated, in the calibration period, the following values: -0.05 and 0.55 (sub-basin 1); 0.51 (sub-basin 3), respectively. In the validation period, the following results were presented for NSE and R2: 0.44 and 0.54 (sub-basin 1); 0.24 and 0.29 (sub-basin 3), in that order. Considering that the object of study is responsible for a large part of the water supply of Palmas - TO and that the program was unable to simulate the minimum flows adequately, the results are considered unsatisfactory

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Stroh, Michael, Christian Storm, Andreas Zehm, and Angelika Schwabe. "Restorative grazing as a tool for directed succession with diaspore inoculation: the model of sand ecosystems." Phytocoenologia 32, no. 4 (December 9, 2002): 595–625. http://dx.doi.org/10.1127/0340-269x/2002/0032-0595.

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47

Drozdowska, Marta, Magdalena Duda-Seifert, and Agnieszka Faron. "MODEL OF A CITY DESTINATION CARD AS A MARKETING TOOL OF SELECTED EUROPEAN CITIES." MANAGEMENT SCIENCES 23, no. 2 (2018): 19–28. http://dx.doi.org/10.15611/ms.2018.2.03.

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Boytsov, B. V., G. S. Zhetessova, and M. K. Ibatov. "Interaction Process Model – ESM Quality Model Development Tool." Quality and life 25, no. 1 (March 23, 2020): 10–17. http://dx.doi.org/10.34214/2312-5209-2020-25-1-10-17.

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The article discusses the methodology and provides the results of a multivariate SWOT analysis for a scientific and manufacturing educational process based on a set of regulatory and strategic documents, statistical data of the Republic of Kazakhstan; The main conclusions and description of the generated matrices for the subjects of interaction within the hierarchical triangle «Education – Science – Manufacturing (ESM)» are given.

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Hudspeth, Randall S., Marjorie Vogt, Ken Wysocki, Oralea Pittman, Susan Smith, Cindy Cooke, Rita Dello Stritto, Karen Sue Hoyt, and T. Jeanne Merritt. "Evaluating models of healthcare delivery using the Model of Care Evaluation Tool (MCET)." Journal of the American Association of Nurse Practitioners 28, no. 8 (August 2016): 453–59. http://dx.doi.org/10.1002/2327-6924.12337.

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50

Takahashi, Kuniyuki, Tetsuya Ogata, Hadi Tjandra, Yuki Yamaguchi, and Shigeki Sugano. "Tool-Body Assimilation Model Based on Body Babbling and Neurodynamical System." Mathematical Problems in Engineering 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/837540.

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We propose the new method of tool use with a tool-body assimilation model based on body babbling and a neurodynamical system for robots to use tools. Almost all existing studies for robots to use tools require predetermined motions and tool features; the motion patterns are limited and the robots cannot use novel tools. Other studies fully search for all available parameters for novel tools, but this leads to massive amounts of calculations. To solve these problems, we took the following approach: we used a humanoid robot model to generate random motions based on human body babbling. These rich motion experiences were used to train recurrent and deep neural networks for modeling a body image. Tool features were self-organized in parametric bias, modulating the body image according to the tool in use. Finally, we designed a neural network for the robot to generate motion only from the target image. Experiments were conducted with multiple tools for manipulating a cylindrical target object. The results show that the tool-body assimilation model is capable of motion generation.

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