scholarly journals Preface

2021 ◽  
Vol 2090 (1) ◽  
pp. 011001

The 10th International Conference on Mathematical Modeling in Physical Sciences (IC-MSQUARE) due to the international conditions regarding the pandemic Covid-19 was held online and in addition to the lectures and presentations that took place in real time, it also had a large collection of pre-recorded presentations that were available to the participants through the conference website. The Conference was attended by more than 180 participants and hosted about 250 oral and virtual presentations while counted more than 600 pre-registered authors. The 10th IC-MSQUARE consisted of different and diverging workshops and thus covered various research fields where Mathematical Modeling is used, such as Theoretical/Mathematical Physics, Neutrino Physics, Non-Integrable Systems, Dynamical Systems, Computational Nanoscience, Biological Physics, Computational Biomechanics, Complex Networks, Stochastic Modeling, Fractional Statistics, DNA Dynamics, Macroeconomics etc. The scientific program was rather heavy, however, according to all attendees, the program was excellent with high level of talks and the scientific environment was fruitful, thus all attendees had a creative time. The Conference Chairman Dimitrios Vlachos University of Peloponnese List of International Scientific Committee, Organizing Committee are available in the pdf.

2019 ◽  
Vol 19 (3) ◽  
pp. 262-267 ◽  
Author(s):  
E. N. Kolybenko

Introduction. Technologies of mathematical and logical modeling of problem solving according to the existing practice of their distribution are divided into two areas: widespread mathematical modeling and infological modeling which is currently underdeveloped, especially for sophisticated systems. Fundamental differences between these technologies, in particular for the machining preproduction, are that logical modeling is informationally and logically related to organization systems, and mathematical modeling is associated with control processes in the organization systems. Logical modeling is used to operate with geometric objects in the technological schemes of their interaction through basing methods, geometric shaping in a static (ideal) setting of the corresponding schemes. Mathematical simulation is used to operate material objects in the control processes of their transformations through cutting methods, i.e. imperfectly, considering heterogeneous errors. Between the organization systems under study and management processes in them, there are information and logical links of their organic unity, which deny their separate consideration. In the information deterministic technology for solving problems of a high-level automation, the distinction between the concepts of “mathematical” and “logical” modeling is relevant; it has scientific novelty and practical significance.Materials and Methods. To characterize the properties of the concepts of “mathematical modeling”, “logical modeling” and the knowledge functions resulting from the formulation of these concepts, fundamentally different methods and appropriate tools are used. The differentiation of the concepts under consideration is based on the differentiation of technologies (methods, appropriate tools, algorithms, operations) for solving applied problems of any knowledge domain.Research Results. The ideas of “logical modeling” and “mathematical modeling” are conceptual general-theoretical notions with invariant properties required for solving practical problems of any application domain. In accordance with the distinction between these concepts, the problem solving technologies are divided into two types: system engineering technology – in the organization of information object systems, and system science – in the management processes of transformation of the corresponding material objects. These areas should exist in the information and logical link of their organic unity.Discussion and Conclusions. The author distinguishes between the concepts of “logical modeling” and “mathematical modeling”, which is a key condition for a successful transition to the deterministic information technology of a high-level automation in solving practical problems of any knowledge domain, for example, of the production design machining


1994 ◽  
Vol 267 (6) ◽  
pp. S113 ◽  
Author(s):  
R Jevning ◽  
R Anand ◽  
M Biedebach

Most physiological scientists have restricted understanding of probability as relative frequency in a large collection (for example, of atoms). Most appropriate for the relatively circumscribed problems of the physical sciences, this understanding of probability as a physical property has conveyed the widespread impression that the "proper" statistical "method" can eliminate uncertainty by determining the "correct" frequency or frequency distribution. However, many relatively recent developments in the theory of probability and decision making deny such exalted statistical ability. Proponents of Bayes's subjectivist theory, for example, assert that probability is "degree of belief," a more tentative idea than relative frequency or physical probability, even though degree of belief assessment may utilize frequency information. In the subjectivist view, probability and statistics are means of expressing a consistent opinion (a probability) to handle uncertainty but never means to eliminate it. In the physiological sciences the contrast between the two views is critical, because problems dealt with are generally more complex than those of physics, requiring judgments and decisions. We illustrate this in testing the efficacy of penicillin by showing how the physical probability method of "hypothesis testing" may contribute to the erroneous idea that science consists of "verified truths" or "conclusive evidence" and how this impression is avoided in subjectivist probability analysis.


2018 ◽  
Vol 2 (1) ◽  
pp. 1-14
Author(s):  
Galyna Azarenkova ◽  
Olena Golovko ◽  
Kateryna Abrosimova

The article is dedicated to the solution of the relevant issue, concerning management of enterprise`s financial sustainability. Financial sustainability assessment is one of the most important principles of enterprise`s activity, which provides information about financial capabilities of the company at the time of its evaluation and for the future. It is a requirement for the enterprise activity, which provides a high level of competitiveness, efficiency and intensity. Thus, the restoration and strengthening of financial sustainability is a priority task for the enterprise, a basic precondition for its effective functioning. The purpose of the research is to analyze financial sustainability and to improve the methods and approaches of its evaluation. The following methods were used in this research: financial and economic analysis, economic and mathematical modeling, analysis and synthesis, comparison. The main results of the study are following: the theoretical and essential characteristics of enterprise financial sustainability has been determined; the financial status of PJSC “Turboatom” has been analyzed; the taxonomic index of financial sustainability has been calculated and the forecast of its significance has been made, the approaches to increase enterprise financial sustainability have been proposed.


Author(s):  
A. E. Zaryankin ◽  
T. Padashmoghanlo

Abstract: The present paper presents a comparison of the performance of different flow conditioners. The numerical investigation is carried out using ANSYS FlUENT. Flow conditioners efficiency is evaluated on the basis of the ability of these devices to produce a uniform velocity profiles with low pressure loss under high-level disturbance conditions, such as those produced by gate and ball valves. A new flow conditioner device, which consists of two perforated conic plates has been designed, and demonstrated a high performance within a short distance downstream of the flow conditioner.


2017 ◽  
Vol 32 (3) ◽  
pp. 294-301 ◽  
Author(s):  
Peng Wang ◽  
Shu-Tao Huang ◽  
Ju Wang ◽  
Yong-An Zhao ◽  
Min Gao ◽  
...  

In this paper, based on information technology, a geo-information database was established and a geo-information data management system (named as HLW-GIS) was developed to facilitate data management work of the multi-source and multidisciplinary data been which are generated during site selection process of geological repository in China. Many important functions, such as basic create, retrieve, update, and delete operations, full text search and download functions, can be achieved through this management system. Even the function of statistics and analysis for certain professional data can be provided. Finally, a few hundred gigabytes of data from numerous different disciplines were integrated, stored, and managed successfully. Meanwhile, the management system can also provide a significant reference for data management work of related research fields, such as decommissioning and management of nuclear facilities, resource prospection and environmental protection.


Author(s):  
Olena Balanska ◽  
◽  
Vasyl Kozyk ◽  
Anna Panchenko ◽  
Volodymyr Melnyk ◽  
...  

The article examines modern methods of risk assessment, analyzes their advantages and disadvantages, as well as features of use. In particular, it is determined that most of them are based on the use of statistical data and postulates of probability theory. In the case when obtaining the necessary initial data is difficult, the methods of analogues or expert assessments are used, but they are subjective. In a separate group, we can distinguish methods that are based on the use of mathematical modeling, such as the scenarios method , project sensitivity analysis or game theory. Housing construction is characterized by a high level of risk, and the specifics of the industry complicate its unambiguous assessment and, consequently, its management. Therefore, to effectively manage the risks of financing the housing construction, it is necessary to choose an assessment method that can provide the most accurate result. The amount of risk in housing construction financing directly depends on the chosen financing mechanism, and its total value will consist of the sum of individual risks that arise at different stages of the process, and the amount of which can be estimated using different methods. It is necessary to develop a combined assessment model that not only combines different risks, but also considers them as a single object, the individual parts of which are not only related, but can also cross-influence each other. Such a model will combine economic-statistical, expert methods and methods of mathematical modeling.


Author(s):  
Adrienne Cameron Grenfell

VITA (Volunteers for International Technical Assistance) is a non-profit organization which supplies technical assistance to developing nations on a person-to-person basis. The program relies upon a large collection of volunteer technical experts whose advice has answered over 13,000 problems in the general field of developmental technology. Several manuals and handbooks have also been published. The majority of the volunteers are in the physical sciences but technology must be supported by socio-economic considerations, since technology appropriate to the needs of developing nations is only one factor in the drive to achieve freedom from want.


1998 ◽  
Vol 4 (S2) ◽  
pp. 6-7
Author(s):  
Michael C. Wright

The Materials Microcharacterization Collaboratory (MMC) was created last year as a pilot project within the US Department of Energy's DOE2000 program. The DOE2000 program has three main goals: improved ability to solve DOE's complex scientific problems, increased R&D productivity and efficiency, and enhanced access to DOE resources by R&D partners. One of the strategies to meet these goals is the construction of national collaboratories. These provide integration on the Internet of unique or expensive DOE research facilities and expertise for remote collaboration, experimentation, production, software development, modeling, or measurement. In addition, collaboratories will benefit researchers by providing tools for video conferencing, shared data-viewing, and collaborative analysis. Cooperative pilots projects, jointly funded by DOE2000 and a scientific program area, are expected to lead to clear success in the scientific environment: they are to provide new capabilities and to increase the efficiency of doing the work (e.g., reduce travel, increase communication, provide for sharing of data among formerly disparate environments).


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