qualitative dynamic
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Author(s):  
O. Mokhunko ◽  
N. Gavrilova

The article reveals the influence of independent physical exercises on the improvement of physical condition. It is established that the level of health of modern youth is at a low level, which is due to the lack of motivation for physical education. It was found that most students are to some extent dissatisfied with the system of organization of physical education in higher education institutions. The article suggests ways to increase the prestige of physical education classes and improve motivation for independent exercise. First of all, it should be noted that independent exercise can not take place without awareness of the need for a healthy body and good health. The student's awareness of the need for exercise is the first step towards his personal development, regardless of where and how he wants to realize himself in this case. Physical education acts as an integral part of the general and professional culture of the student, as the most important qualitative dynamic characteristic of his personal development, as a fundamental activity that determines the beginning of his socio-cultural existence, method and extent of essential strengths and abilities. First of all, the student must be interested in the lessons, and also keep in mind that the body, spirit and mind - this is the only whole that is the essence of a healthy and harmonious personality. The student should also understand that his own body in many ways resembles a vessel, and it depends on the subject what and how to fill it. When exerting a pedagogical influence on a student, it is important to convey to him an understanding of this simple truth, and in physical education classes it is necessary to try to give maximum freedom to everyone. Of course, it is difficult to make a student aware of the need for physical education, and even more so through pedagogical skills to encourage him to do physical exercises, because in the educational program of higher education there are other subjects that require some time.


2021 ◽  
pp. 39-56
Author(s):  
Mark L. Johnson

Reflects on the nature of human meaning making through architecture. Meaning mak-ing is understood to be situated, relational, qualitative, dynamic and enacted. To appre-ciate the significance of architecture we need to understand how meaning is structured through the body. Some image-body schemas include containment, verticality, balance, forces and motion. Architecture’s moral imperative is to creatively transform the condi-tions of human habitation and interaction.


2020 ◽  
pp. 47-50
Author(s):  
M. Yu. Uchirova ◽  
L. A. Ilin ◽  
S. V. Khudyakov

The article considers the main approaches to the development and evaluation of the organization’s logistics strategy based on the application of bifurcation theory. The paper notes that the greatest competitive advantages in the process of carrying out activities can be obtained by the company when designing a unique logistics strategy based on the individual features of the organization’s logistics system. The authors reveal that the bifurcation theory allows you to determine the conditionality of a qualitative dynamic change in the behavior of a logistics system by an infinitesimal change in certain parameters of the system. As part of the assessment of the organization’s logistics management strategy, bifurcation theory forms the basis for determining shift in the qualitative parameter of the system and makes it possible to assess the effect of this parameter on the behavior of the entire system as a whole and each functional subsystem separately. The study reflects that it is possible to determine the critical values of individual variables, when overcoming which the logistics system itself goes into unstable state. The main concept defining the process of critical transition of the state of the logistic system is the bifurcation point.


2019 ◽  
Vol 20 (1) ◽  
Author(s):  
S. Ha ◽  
E. Dimitrova ◽  
S. Hoops ◽  
D. Altarawy ◽  
M. Ansariola ◽  
...  

Abstract Background At the molecular level, nonlinear networks of heterogeneous molecules control many biological processes, so that systems biology provides a valuable approach in this field, building on the integration of experimental biology with mathematical modeling. One of the biggest challenges to making this integration a reality is that many life scientists do not possess the mathematical expertise needed to build and manipulate mathematical models well enough to use them as tools for hypothesis generation. Available modeling software packages often assume some modeling expertise. There is a need for software tools that are easy to use and intuitive for experimentalists. Results This paper introduces PlantSimLab, a web-based application developed to allow plant biologists to construct dynamic mathematical models of molecular networks, interrogate them in a manner similar to what is done in the laboratory, and use them as a tool for biological hypothesis generation. It is designed to be used by experimentalists, without direct assistance from mathematical modelers. Conclusions Mathematical modeling techniques are a useful tool for analyzing complex biological systems, and there is a need for accessible, efficient analysis tools within the biological community. PlantSimLab enables users to build, validate, and use intuitive qualitative dynamic computer models, with a graphical user interface that does not require mathematical modeling expertise. It makes analysis of complex models accessible to a larger community, as it is platform-independent and does not require extensive mathematical expertise.


2019 ◽  
Author(s):  
Michael A. Kochen ◽  
Carlos F. Lopez

AbstractMathematical models of biochemical reaction networks are central to the study of dynamic cellular processes and hypothesis generation that informs experimentation and validation. Unfortunately, model parameters are often not available and sparse experimental data leads to challenges in model calibration and parameter estimation. This can in turn lead to unreliable mechanistic interpretations of experimental data and the generation of poorly conceived hypotheses for experimental validation. To address this challenge, we evaluate whether a Bayesian-inspired probability-based approach, that incorporates available information regarding reaction network topology and parameters, can be used to qualitatively explore hypothetical biochemical network execution mechanisms in the context of limited available data. We test our approach on a model of extrinsic apoptosis execution to identify preferred signal execution modes across varying conditions. Apoptosis signal processing can take place either through a mitochondria independent (Type I) mode or a mitochondria dependent (Type II) mode. We first show that in silico knockouts, represented by model subnetworks, successfully identify the most likely execution mode for specific concentrations of key molecular regulators. We then show that changes in molecular regulator concentrations alter the overall reaction flux through the network by shifting the primary route of signal flow between the direct caspase and mitochondrial pathways. Our work thus demonstrates that probabilistic approaches can be used to explore the qualitative dynamic behavior of model biochemical systems even with missing or sparse data.


2018 ◽  
Vol 58 ◽  
pp. 01006 ◽  
Author(s):  
Bulatov Yuri ◽  
Kryukov Andrey

The article present results of studies aimed at emergency control methods development in power supply systems equipped with distributed generation plants. The main purpose of emergency control is ensuring postemergency mode dead-beat stability and high quality of dynamic transitions for electrical network load-shedding. Control actions were formed by changing the vector of controlled parameters along a path corresponding to the shortest distance to the hypersurface of the limit modes. The dynamic processes quality when implementing the control actions was ensured based on the special settings of excitation and frequency automatic regulators. Based on computer-aided modelling, it is shown that the effective in-troduction of a postemergency mode to the stability region can be performed based on generalized equations of the limit loads while using the start algorithm ensuring mode’s entering the stability region’s neighboring boundary. The application of the fuzzy control algorithms for tuning regulators allows formation of a qualitative dynamic transition while load-shedding distributed generation plants in the postemergency mode.


2016 ◽  
Vol 13 (120) ◽  
pp. 20160156 ◽  
Author(s):  
Daihai He ◽  
David J. D. Earn

The structure of school terms is well known to influence seasonality of transmission rates of childhood infectious diseases in industrialized countries. A less well-studied aspect of school calendars that influences disease dynamics is that all children enter school on the same day each year. Rather than a continuous inflow, there is a sudden increase in the number of susceptible individuals in schools at the start of the school year. Based on the standard susceptible–exposed–infectious–recovered (SEIR) model, we show that school cohort entry alone is sufficient to generate a biennial epidemic pattern, similar to many observed time series of measles incidence. In addition, cohort entry causes an annual decline in the effective transmission that is evident in observed time series, but not in models without the cohort effect. Including both cohort entry and school terms yields a model fit that is significantly closer to observed measles data than is obtained with either cohort entry or school terms alone (and just as good as that obtained with Schenzle's realistic age-structured model). Nevertheless, we find that the bifurcation structure of the periodically forced SEIR model is nearly identical, regardless of whether forcing arises from cohort entry, school terms and any combination of the two. Thus, while detailed time-series fits are substantially improved by including both cohort entry and school terms, the overall qualitative dynamic structure of the SEIR model appears to be insensitive to the origin of periodic forcing.


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