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Littérature scientifique sur le sujet « Corporations – Growth – Mathematical models »

Auteur : Grafiati

Publié le 10 mars 2023

Mis à jour le 19 juillet 2025

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Articles de revues sur le sujet "Corporations – Growth – Mathematical models"

Glushchenko, V., and A. Falaleeva. "Paradigm of increasing employee loyalty of high-tech corporations." Bulletin of Science and Practice 5, no. 3 (2019): 272–91. https://doi.org/10.33619/2414-2948/40/33.

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The subject of the article is the development of the paradigm of increasing the loyalty of staff of high-tech corporations; the object of the article is the loyalty of staff of high-tech corporations; the relevance of the article is connected with the need to increase the loyalty of staff of high-tech corporations in the interests of increasing the effectiveness and efficiency of their innovation; the purpose of the article is the growth of the level of loyalty of staff of high-tech corporations through the formation and implementation of the paradigm of increasing the loyalty of staff; t

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Sofiko Dzhvarsheishvili, Sofiko Dzhvarsheishvili. "Developing Tendencies of Foreign Direct Investments." New Economist 16, no. 03 (2022): 41–47. http://dx.doi.org/10.36962/nec62-6303-042021-41.

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The formation process of foreign direct investment theories began in the second half of the twentieth century, it was period that the importance of foreign direct investment (FDI) in international capital movement increased, and this period was characterized by the rapid growth of multinational enterprises, which, in turn, is a major source of FDI. Scientific and technological progress has become the basis for decisions of transnational companies to invest capital in to different parts of the world and to coordinate and control its many branches from one country. During this period scientists

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Et.al, D. Priyadarshini. "A Novel Technique for IDS in Distributed Data Environment Using Merkel Based Security Mechanism for Secure User Allocation." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 4284–97. http://dx.doi.org/10.17762/turcomat.v12i3.1720.

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Multiple corporations and people frequently launching their data in the cloud environment. With the huge growth of data mining and the cloud storage paradigm without checking protection policies and procedures that can pose a great risk to their sector. The data backup in the cloud storage would not only be problematic for the cloud user but also the Cloud Service Provider (CSP). The unencrypted handling of confidential data is likely to make access simpler for unauthorized individuals and also by the CSP. Normal encryption algorithms need more primitive computing, space and costs for storage.

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Du, Yuping, Rongping Kang, and Yinbin Ke. "Understanding the growth models of Chinese multinational corporations." International Journal of Chinese Culture and Management 1, no. 4 (2008): 451. http://dx.doi.org/10.1504/ijccm.2008.020010.

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Dolganova, Olga, and Valeriy Lokhov. "Mathematical models of growth deformation." PNRPU Mechanics Bulletin 1 (March 30, 2014): 126–41. http://dx.doi.org/10.15593/2224-9893/2014.1.06.

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Pavankumari, V. "Mathematical and Stochastic Growth Models." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (2021): 1576–82. http://dx.doi.org/10.22214/ijraset.2021.39055.

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Abstract: Many statistical and mathematical models of growth are developed in the literature and effectively applied to various conditions in the existent world that involve many research problems in the different fields of applied statistics. Nevertheless, still, there is an equally large number of conditions, which have not yet been mathematically or statistically modeled, due to the complex situations or formed models are mathematically or statistically inflexible. The present study is based on mathematical and stochastic growth models. The specification of both the growth models is depicte

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Kumari, V. Pavan, Venkataramana Musala, and M. Bhupathi Naidu. "Mathematical and Stochastic Growth Models." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 987–89. http://dx.doi.org/10.22214/ijraset.2022.42330.

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Abstract: Many statistical and mathematical models of growth are developed in the literature and effectively applied to various conditions in the existent world involves many research problems in the different fields of applied statistics. Nevertheless, still, there are an equally a large number of conditions, which have not yet been mathematically or statistically modeled, due to the complex situations or formed models are mathematically or statistically inflexible. The present study is based on mathematical and stochastic growth models. The specification of both the growth models is depicted

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Oliveri, Hadrien, and Alain Goriely. "Mathematical models of neuronal growth." Biomechanics and Modeling in Mechanobiology 21, no. 1 (2022): 89–118. http://dx.doi.org/10.1007/s10237-021-01539-0.

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AbstractThe establishment of a functioning neuronal network is a crucial step in neural development. During this process, neurons extend neurites—axons and dendrites—to meet other neurons and interconnect. Therefore, these neurites need to migrate, grow, branch and find the correct path to their target by processing sensory cues from their environment. These processes rely on many coupled biophysical effects including elasticity, viscosity, growth, active forces, chemical signaling, adhesion and cellular transport. Mathematical models offer a direct way to test hypotheses and understand the un

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Leung, C. H. C. "Mathematical Models of Fire Growth." Computer Journal 28, no. 2 (1985): 179–83. http://dx.doi.org/10.1093/comjnl/28.2.179.

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Dmitriev, V. I., E. S. Kurkina, and O. E. Simakova. "Mathematical models of urban growth." Computational Mathematics and Modeling 22, no. 1 (2011): 54–68. http://dx.doi.org/10.1007/s10598-011-9088-8.

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Thèses sur le sujet "Corporations – Growth – Mathematical models"

Mohd, Jaffar Mai. "Mathematical models of hyphal tip growth." Thesis, University of Dundee, 2012. https://discovery.dundee.ac.uk/en/studentTheses/140f9a81-12ca-4337-a311-2f82441f1ea6.

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Filamentous fungi are important in an enormous variety of ways to our life, with examples ranging from bioremediation, through the food and drinks industry to human health. These organisms can form huge networks stretching metres and even kilometres. However, their mode of growth is by the extension of individual hyphal tips only a few microns in diameter. Tip growth is mediated by the incorporation of new wall building materials at the soft apex. Just how this process is controlled (in fungi and in cell elongation in other organisms) has been the subject of intense study over many years and h

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Al-Taie, Ali Hussein Shuaa. "Continuum models for fungal growth." Thesis, University of Dundee, 2011. https://discovery.dundee.ac.uk/en/studentTheses/9b2c14ff-c012-4541-a6ea-3ab0fea38e50.

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Fungi generally exist as unicellular organisms (yeasts) or in a vegetative state in which a mycelium, i.e. an interconnected network of tubes (hyphae) is formed. The mycelium can operate over a very large range of scales (each hypha is only a few microns in diameter, yet mycelia can be kilometres across). Fungi are of fundamental importance to many natural processes: certain species have major roles in decomposition and nutrient cycling in the soil; some form vital links with plant roots allowing nutrient transfer. Other species are essential to industrial processes: citric acid production for

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Robertson-Tessi, Mark. "Mathematical Models of Tumor Growth and Therapy." Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/194473.

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A number of mathematical models of cancer growth and treatment are presented. The most significant model presented is of the interactions between a growing tumor and the immune system. The equations and parameters of the model are based on experimental and clinical results from published studies. The model includes the primary cell populations involved in effector-T-cell-mediated tumor killing: regulatory T cells, helper T cells, and dendritic cells. A key feature is the inclusion of multiple mechanisms of immunosuppression through the main cytokines and growth factors mediating the interactio

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Jaroudi, Rym. "Inverse Mathematical Models for Brain Tumour Growth." Licentiate thesis, Linköpings universitet, Tekniska fakulteten, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141982.

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We study the following well-established model of reaction-diffusion type for brain tumour growth: <img src="http://www.diva-portal.org/cgi-bin/mimetex.cgi?%5Cbegin%7Bequation%7D%0A%5Cleft%5C%7B%5Cbegin%7Barray%7D%7Brcll%7D%0A%20%20%5Cpartial_%7Bt%7Du%20-%20div%20(D(x)%20%5Cnabla%20u)%20-%20f(u)%20&=&%200,&%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%5Cmbox%7Bin%20%7D%5COmega%5Ctimes(0,T)%5C%5C%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20u(0)%20&%20=%20&%5Cvarphi,&%5Cmbox%7Bin%20%7D%5COmega%5C%5C%0AD%5Cnabla%20u%5

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Wei, Yong, and 卫勇. "The real effects of S&P 500 Index additions: evidence from corporate investment." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B4490681X.

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Moyen, Nathalie. "Financing investment with external funds." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0019/NQ46396.pdf.

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Hounslow, Michael John. "A discretized population balance for simultaneous nucleation, growth and aggregation /." Title page, summary and table of contents only, 1990. http://web4.library.adelaide.edu.au/theses/09PH/09phh839.pdf.

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Browning, Alexander P. "Stochastic mathematical models of cell proliferation assays." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/110808/1/Alexander_Browning_Thesis.pdf.

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Cell proliferation assays are routinely used to study collective cell behaviour, and can be interpreted with mathematical models. In this thesis, we apply a computational Bayesian technique to calibrate stochastic discrete mathematical models of cell migration and cell proliferation in the context of a cell proliferation assay. Initially, we use a lattice-based model to explore the optimal duration of a cell proliferation assay. Next, we estimate the parameters in a lattice-free model using three independent experimental data sets. Our model is able to both describe and predict the evolution o

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Vekstein, Daniel. "Dynamics of organizational growth in the international automobile industry." Diss., The University of Arizona, 1993. http://hdl.handle.net/10150/186248.

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The phenomenon of organizational growth has traditionally been assumed to be indeterminate largely due to chance or accidents found in organizational worlds. This research takes up the causal processes underlying the growth (and decline) of virtually all world-class manufacturers in the international automobile industry from 1946 to 1989. Two models are developed as alternative explanations for the long-term trends observed in growth rates and their differences across firms. The models are estimated with a nonlinear method and tested through various empirical implications. The model that seems

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Egeh, Mohamud H. "Modeling corn growth, development and yield under Québec conditions." Thesis, McGill University, 1998. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=21546.

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The use of crop growth simulation models such asthose incorporated into Decision Support Systems for Agrotechnology Transfer (DSSAT) are useful tools for assessing the impacts of various management practices on crop productivity. The maize growth model of DSSAT is CERES-maize. To evaluate its predictive capability under western Quebec conditions, data on corn (Zea mays L.) yield and above-ground biomass were collected from a field-scale water table management experiment conducted during the 1996 and 1997 growing seasons at St. Emmanuel, Soulanges County, Quebec. The model was calibrated using

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Livres sur le sujet "Corporations – Growth – Mathematical models"

Berk, Jonathan B. Optimal investment, growth options, and security returns. National Bureau of Economic Research, 1998.

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Lentz, Rasmus. An empirical model of growth through product innovation. IZA, 2005.

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Lentz, Rasmus. An empirical model of growth through product innovation. National Bureau of Economic Research, 2005.

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Rossi-Hansberg, Esteban. Firm size dynamics in the aggregate economy. National Bureau of Economic Research, 2005.

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Rossi-Hansberg, Esteban. Firm size dynamics in the aggregate economy. National Bureau of Economic Research, 2005.

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Sinn, Hans-Werner. The vanishing Harberger triangle. National Bureau of Economic Research, 1990.

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1956-, Andersen Torben M., and Moene Karl O, eds. Endogenous growth. Blackwell, 1993.

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Chaubey, P. K. Growth models in Indian planning. Himalaya Pub. House, 1989.

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Raymond, F. L. Dimensional growth, difference-based equations and growth prediction. Ontario Forest Research Institute, 1989.

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V, Scholtz Richard, ed. Mathematical models of crop growth and yield. Marcel Dekker, 2002.

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Chapitres de livres sur le sujet "Corporations – Growth – Mathematical models"

Rubin, Andrew, and Galina Riznichenko. "Growth and Catalysis Models." In Mathematical Biophysics. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-8702-9_1.

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Gleißner, Winfried. "Growth Models in Comparison." In Mathematical Modelling in Economics. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78508-5_19.

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Nicola, PierCarlo. "Multisectoral Growth Models." In Mainstream Mathematical Economics in the 20th Century. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04238-0_23.

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Murray, James D. "Discrete Growth Models for Interacting Populations." In Mathematical Biology. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-08539-4_4.

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Murray, James D. "Discrete Growth Models for Interacting Populations." In Mathematical Biology. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-08542-4_4.

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Mickens, Ronald E. "Single Population Growth Models." In Mathematical Modelling with Differential Equations. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003178972-4.

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Zaslavski, Alexander J. "Models with Unbounded Endogenous Economic Growth." In Monographs in Mathematical Economics. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9298-7_10.

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Ranganathan, C. R. "Phase Dependent Population Growth Models." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-58201-1_12.

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Smith, Robert W., and Christian Fleck. "Derivation and Use of Mathematical Models in Systems Biology." In Pollen Tip Growth. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56645-0_13.

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Biscoe, P. V., and V. B. A. Willington. "Crop Physiological Studies in Relation to Mathematical Models." In Wheat Growth and Modelling. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4899-3665-3_24.

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Actes de conférences sur le sujet "Corporations – Growth – Mathematical models"

Song, Fengmei. "Overall Mechanisms of High pH and Near-Neutral pH SCC, Models for Forecasting SCC Susceptible Locations, and Simple Algorithms for Predicting High pH SCC Crack Growth Rates." In CORROSION 2008. NACE International, 2008. https://doi.org/10.5006/c2008-08129.

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Abstract Issues The current practice of determining pipeline stress corrosion cracking (SCC) susceptible locations, for pipe segments where In-Line Inspection (ILI) tools or hydrotests are not applicable, is based on known characteristics of past SCC sites. These characteristics include the type, age, and conditions of the coating; the type of steel and weld; the surface treatment, age, manufacturer, corrosion status and past SCC experience of the pipe; the type of soil, wet/dry cycles, and ground water chemistry including pH, ionic species such as Na+, Ca2+ and Cl−, molecular species such as

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Wei, Yixin, Tong Qiu, and Zhen Chen. "Metabolic optimization of Vibrio natriegens based on metaheuristic algorithms and the genome-scale metabolic model." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.169411.

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In recent years, burgeoning interest in products derived from microbial production across various sectors has significantly propelled the evolution of the field of metabolic engineering. As a Gram-negative bacterium, Vibrio natriegens is characterized by its fast growth, robust metabolic capabilities, and a broad substrate spectrum, making it a promising candidate as a standard biological host for the industrial bioproduction of metabolites. Genome-scale metabolic models (GSMMs) are mathematical representations constructed based on genome annotations and gene-protein-reaction (GPR) association

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Sapi, Johanna, Daniel Andras Drexler, and Levente Kovacs. "Comparison of mathematical tumor growth models." In 2015 IEEE 13th International Symposium on Intelligent Systems and Informatics (SISY). IEEE, 2015. http://dx.doi.org/10.1109/sisy.2015.7325403.

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Silova, Elena, Irina Belova, and Daria Bents. "Model of Growth of the Russian Corporations: Impaction of Institutional Factors." In International Conference on Eurasian Economies. Eurasian Economists Association, 2014. http://dx.doi.org/10.36880/c05.00932.

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In modern conditions corporations are a core of economic system and many macroeconomic indicators depend on growth of corporations. Quality and intensity of growth of corporations depend on many factors, both internal, and external. Institutional factors, including efficiency of the contract relations, level of tax burden, quality of corporate institutes have huge impact on growth of corporations. The purpose of this work – to reveal factors of growth of the Russian corporations and to construct models of the Russian corporations’ growth in a branch section. In research the assessment influenc

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El-Kareh, Ardith W., and Timothy W. Secomb. "Abstract 102: Mathematical models for growth of metastatic tumors." In Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1538-7445.am10-102.

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SPOHN, HERBERT, PATRIK L. FERRARI, and MICHAEL PRÄHOFER. "Stochastic growth in one dimension and Gaussian multi-matrix models." In XIVth International Congress on Mathematical Physics. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812704016_0038.

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Korkmaz, Mehmet. "Partial sum approaches to mathematical parameters of some growth models." In INTERNATIONAL CONFERENCE ON ADVANCES IN NATURAL AND APPLIED SCIENCES: ICANAS 2016. Author(s), 2016. http://dx.doi.org/10.1063/1.4945903.

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Zhang, Chao, Xiaoqian Jiang, Sheng Guo, and Qixiang Li. "Abstract 4613: Mathematical modeling of tumor growth in mouse models." In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.sabcs18-4613.

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Singha, Uparna, Aoly Ur Rahman, and Md Kabir Uddin Sikder. "Mathematical Models for Tumor Cell Growth Estimation: An Analytical Review." In 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI). IEEE, 2022. http://dx.doi.org/10.1109/sti56238.2022.10103317.

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Rapports d'organisations sur le sujet "Corporations – Growth – Mathematical models"

Blanco, Roberto, Elena Fernández, Miguel García-Posada, and Sergio Mayordomo. An estimation of the default probabilities of Spanish non-financial corporations and their application to evaluate public policies. Banco de España, 2023. http://dx.doi.org/10.53479/33512.

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We model the one-year ahead probability for default of Spanish non-financial corporations using data for the period 1996-2019. While most previous literature considers that a firm is in default if it files for bankruptcy, we define default as having non-performing loans during at least three months of a given year. This broader definition allows us to predict firms’ financial distress at an earlier stage that cannot generally be observed by researchers, before their financial conditions become too severe and they have to file for bankruptcy or engage in private workouts with their creditors. W

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Lieth, J. Heiner, Michael Raviv, and David W. Burger. Effects of root zone temperature, oxygen concentration, and moisture content on actual vs. potential growth of greenhouse crops. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7586547.bard.

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Soilless crop production in protected cultivation requires optimization of many environmental and plant variables. Variables of the root zone (rhizosphere) have always been difficult to characterize but have been studied extensively. In soilless production the opportunity exists to optimize these variables in relation to crop production. The project objectives were to model the relationship between biomass production and the rhizosphere variables: temperature, dissolved oxygen concentration and water availability by characterizing potential growth and how this translates to actual growth. As p

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L52112 Bicarbonate�ClO4S-3 and CO2 on Crack Initiation and Propagation. Pipeline Research Council International, Inc. (PRCI), 2005. http://dx.doi.org/10.55274/r0011110.

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~~The primary aim of the studies described here was to improve the success of soil-based SCC site selection models by identifying groundwater constituents that lead to enhanced SCC susceptibility. Different aspects of the overall low-pH SCC process are considered, including: The development of trapped water, Crack initiation, and Early-stage crack growth. A mathematical modeling approach has been taken to investigate the development of trapped water from the surrounding groundwater. The coupled mass transport, chemical, and electrochemical processes within a disbondment of variable geometry re

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