scholarly journals THEORETICAL AND METHODOLOGICAL APPROACHES TO THE STUDY OF THE TERRITORIAL SYSTEM OF MONODEVELOPMENT IN GEOGRAPHICAL SPACE

2020 ◽  
pp. 26-34
Author(s):  
Nataliia Smochko
Keyword(s):  
Complex Systems ◽  
Social Systems ◽  
Research Work ◽  
Social Geography ◽  
Hierarchical Levels ◽  
Methodological Approaches ◽  
Traditional Approaches ◽  
Geographical Space ◽  
Innovative Approaches

The purpose of this research work is to analyze modern theoretical and methodological approaches to the study of territorial systems of monodevelopment in the theory of social geography. Method. General scientific methods, including analysis, scientific synthesis, analytical method, methods of comparison and generalization were used in the study. Scientific novelty. The article reveals traditional and innovative approaches to identifying and defining the territorial system of mono-development in the geographical space. In substantiating the application of approaches, we used the work of scientists and geographers, who took them into account in the study of complex systems. It has been determined that the leading and traditional approaches in socio-geographical research are historical-geographical (retrospective) and territorial (geospatial), which should be combined with genetic. According to which all geographical phenomena have been considered as processes that have their genesis, dynamics, differences, patterns spatial distribution. To study the processes of system formation, a comprehensive approach is important. It provides a comprehensive analysis of the development of the main factors in the formation of modern socio-economic processes in the regions. The system approach allows to consider functioning and development of the territorial monosystem and its basic types as systems of the territorial organization of a society at various hierarchical levels, to open their integrity and the mechanisms providing effective management of such monodevelopment. At the same time, it has been found that not all the outlined approaches of complex systems can be used to study monosystems in the form in which they were used previously. This is because in the study of systems in retrospect, the application of approaches was focused on the analysis of the structure of the studied objects and the variety of processes that took place between the elements of the studied systems. In the study of monosystems, the researcher should be interested in their development to bifurcation moments and the conditions for further preservation of monosystems. This means that traditional approaches, such as historical-geographical (retrospective) and territorial (geospatial) should be modified to adapt to these tasks. It is important to use innovative approaches: cluster (formation of so-called network structures), behaviorist (explanation of the territorial identity of the monosystem), participatory (strategic planning of the territorial development of the monosystem). Only by combining a variety of approaches will it be possible to obtain a synergistic effect and form a synergistic approach that will provide additional benefits in the study of monosystems and the processes of their functioning. Practical meaning. The results of this study contribute to a deeper socio-geographical understanding of the processes of monodevelopment, their genesis, features of their course and provide an opportunity to model the long-term development of territorial social systems, to achieve expected results due to long-term transformation. They can be used for further study of monosystems of different hierarchical levels, as well as for the development of practical recommendations and programs for the development of individual monoterritories.

scholarly journals ANALYSIS OF THE CONCEPTUAL-TERMINOLOGICAL SYSTEMS OF SOCIAL GEOGRAPHY AND RELATIONSHIPS BETWEEN THEM

2020 ◽  
pp. 51-58
Author(s):  
Nataliia Smochko
Keyword(s):  
Social Systems ◽  
Research Work ◽  
Social Geography ◽  
Hierarchical Level ◽  
Scientific Methods ◽  
General Scientific ◽  
Decentralization Reform ◽  
Constituent Elements

The purpose of this research work is to identify and analyse the most important conceptual and terminological systems of social geography and the relationships between them. Method. General scientific methods, including analysis, scientific synthesis, analytical method, methods of comparison and generalization were used in the study. Accordingly, the need to identify the category of monodevelopment and its inherent differences in the theory of social geography requires a detailed consideration of its etymology, semantic separation from other categories, i.e. scientific justification considering the specifics of geographical understanding. In the course of the research the method of classification had been used in the separation of the constituent elements of the territories of monodevelopment. The scientific novelty lies in the disclosure of the conceptual and terminological apparatus of social geography and its structuring into a number of conceptual and terminological systems, within which the content of concepts is deepened, the terms denoting certain concepts are specified, in particular the concept of «monodevelopment» in socio-geographical science, taking into account, first of all, the attributes of the territory (properties, relations, processes). It has been revealed that monodevelopment is aimed at the formation of territorial social systems of the highest hierarchical level, in the structure of which individual elements will begin their own monodevelopment, which will end with differentiation or integration of subsystems of the territorial social system. The main attributes of the territory in the interpretation of monodevelopment in social geography had been analyzed. Based on the classification of attributes of the territory (properties, relations, processes) formed in the theory of social geography, the author singled out new types of monodevelopment of the territory with increasing weight of one element, such as monoresource, monodemographic, monofunctional, monocentric development and others. Practical meaning. The results of this study contribute to a deeper socio-geographical understanding of the processes of monodevelopment, their genesis, features of their course and provide an opportunity to model the long-term development of territorial social systems, to achieve expected results due to long-term transformation. They can be used for further study of monosystems of different hierarchical levels, as well as for the development of practical recommendations and programs for the development of individual monoterritories. It is especially important to clarify the category of «monoterritory» and the separation of monoterritories as special territorial formations, which will further determine aspects of the development of this type of territorial formation. It is extremely important in today's decentralization reform in Ukraine, when new united territorial communities are formed; many of which are economically monodirectional.

Intraindividual Variability and Stability of Affect and Well-Being

GeroPsych ◽  
2013 ◽  
Vol 26 (3) ◽  
pp. 185-199 ◽  
Author(s):  
Christina Röcke ◽  
Annette Brose
Keyword(s):  
Age Differences ◽  
Well Being ◽  
Subjective Well Being ◽  
Emotional Experiences ◽  
Short Term ◽  
Regulatory Processes ◽  
Functional Implications ◽  
Methodological Approaches ◽  
Underlying Processes

Whereas subjective well-being remains relatively stable across adulthood, emotional experiences show remarkable short-term variability, with younger and older adults differing in both amount and correlates. Repeatedly assessed affect data captures both the dynamics and stability as well as stabilization that may indicate emotion-regulatory processes. The article reviews (1) research approaches to intraindividual affect variability, (2) functional implications of affect variability, and (3) age differences in affect variability. Based on this review, we discuss how the broader literature on emotional aging can be better integrated with theories and concepts of intraindividual affect variability by using appropriate methodological approaches. Finally, we show how a better understanding of affect variability and its underlying processes could contribute to the long-term stabilization of well-being in old age.

Methods for Separation of Copper Oxide Nanoparticles From Colloidal Suspension in Dodecane

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Mohammed H. Sheikh ◽  
Muhammad A. R. Sharif
Keyword(s):  
Energy Storage ◽  
Copper Oxide ◽  
Phase Change ◽  
Phase Change Materials ◽  
Research Work ◽  
Cuo Nanoparticles ◽  
Health Hazards ◽  
Suspension Stability ◽  
Reduced Pressure

Phase change materials (PCM) are used in many energy storage applications. Energy is stored (latent heat of fusion) by melting the PCM and is released during resolidification. Dispersing highly conductive nanoparticles into the PCM enhances the effective thermal conductivity of the PCM, which in turn significantly improves the energy storage capability of the PCM. The resulting colloidal mixture with the nanoparticles in suspension is referred to as nanostructure enhanced phase change materials (NEPCM). A commonly used PCM for energy storage application is the family of paraffin (CnH2n+2). Mixing copper oxide (CuO) nanoparticles in the paraffin produces an effective and highly efficient NEPCM for energy storage. However, after long term application cycles, the efficiency of the NEPCM may deteriorate and it may need replacement with fresh supply. Disposal of the used NEPCM containing the nanoparticles is a matter of concern. Used NEPCM containing nanoparticles cannot be discarded directly into the environment because of various short term health hazards for humans and all living beings and unidentified long term environmental and health hazards due to nanoparticles. This problem will be considerable when widespread use of NEPCM will be practiced. It is thus important to develop technologies to separate the nanoparticles before the disposal of the NEPCM. The primary objective of this research work is to develop methods for the separation and reclamation of the nanoparticles from the NEPCM before its disposal. The goal is to find, design, test, and evaluate separation methods which are simple, safe, and economical. The specific NEPCM considered in this study is a colloidal mixture of dodecane (C12H26) and CuO nanoparticles (1–5% mass fraction and 5–15 nm size distribution). The nanoparticles are coated with a surfactant or stabilizing ligands for suspension stability in the mixture for a long period of time. Various methods for separating the nanoparticles from the NEPCM are explored. The identified methods include: (i) distillation under atmospheric and reduced pressure, (ii) mixing with alcohol mixture solvent, and (iii) high speed centrifugation. These different nanoparticle separation methods have been pursued and tested, and the results are analyzed and presented in this article.

scholarly journals North European Export Industry and the Shadows of Sulphur Directive

2016 ◽  
Vol 17 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Esa Hämäläinen ◽  
Olli-Pekka Hilmola ◽  
Andres Tolli
Keyword(s):  
Paper Industry ◽  
Research Work ◽  
Transportation Cost ◽  
Paper Mill ◽  
Export Industry ◽  
Eu Directive ◽  
Oil Markets ◽  
Regulation Change ◽  
European Export

Abstract EU Directive of MARPOL Annex VI and its economic impact on the Nordic paper industry is theme of this research work. Empirical data for analysis purposes was gained from a large Nordic paper mill that exports bulk products mainly to Europe (70 % of its volume). The study shows that in the end the industry’s location still has an economical effect, and that the location has a distinct impact on competition through rising transportation costs. Environmental regulation continues and fosters long-term upwards trajectory of transportation cost, which has been experienced by the paper mill earlier during years 2001-2009. Sulphur regulation change to cleaner grades of maritime diesel did not turn as heavy cost increase in the 2015, however, possibility to gain cost benefits in rapidly deteriorating oil markets were not reached either. Therefore, in depressed industrial product markets, like paper industry, implications were such that margins of export industry remained low.

scholarly journals International agricultural trade forecasting using machine learning

Data & Policy ◽  
2021 ◽  
Vol 3 ◽  
Author(s):  
Munisamy Gopinath ◽  
Feras A. Batarseh ◽  
Jayson Beckman ◽  
Ajay Kulkarni ◽  
Sei Jeong
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Agricultural Trade ◽  
Supervised Machine Learning ◽  
Trade Patterns ◽  
Subjective Assessments ◽  
History Of ◽  
Network Approaches ◽  
Traditional Approaches

Abstract Focusing on seven major agricultural commodities with a long history of trade, this study employs data-driven analytics to decipher patterns of trade, namely using supervised machine learning (ML), as well as neural networks. The supervised ML and neural network techniques are trained on data until 2010 and 2014, respectively. Results show the high relevance of ML models to forecasting trade patterns in near- and long-term relative to traditional approaches, which are often subjective assessments or time-series projections. While supervised ML techniques quantified key economic factors underlying agricultural trade flows, neural network approaches provide better fits over the long term.

Analyzing common approaches of accident models for risk management in socio-technical systems

2021 ◽  
Author(s):  
M. Kiwan ◽  
D.V. Berezkin ◽  
M. Raad ◽  
B. Rasheed
Keyword(s):  
Risk Management ◽  
Complex Systems ◽  
Human Error ◽  
Practical Importance ◽  
Individual Characteristics ◽  
Sociotechnical Systems ◽  
Technical Aspects ◽  
The Social ◽  
Technical Systems ◽  
Traditional Approaches

Statement of a problem. One of the main tasks today is to prevent accidents in complex systems, which requires determining their cause. In this regard, several theories and models of the causality of accidents are being developed. Traditional approaches to accident modeling are not sufficient for the analysis of accidents occurring in complex environments such as socio-technical systems, since an accident is not the result of individual component failure or human error. Therefore, we need more systematic methods for the investigation and modeling of accidents. Purpose. Conduct a comparative analysis of accident models in complex systems, identify the strengths and weaknesses of each of these models, and study the feasibility of their use in risk management in socio-technical systems. The paper analyzes the main approaches of accident modeling and their limitations in determining the cause-and-effect relationships and dynamics of modern complex systems. the methodologies to safety and accident models in sociotechnical systems based on systems theory are discussed. The complexity of sociotechnical systems requires new methodologies for modeling the development of emergency management. At the same time, it is necessary to take into account the socio-technical system as a whole and to focus on the simultaneous consideration of the social and technical aspects of the systems. When modeling accidents, it is necessary to take into account the social structures and processes of social interaction, the cultural environment, individual characteristics of a person, such as their abilities and motivation, as well as the engineering design and technical aspects of systems. Practical importance. Based on analyzing various techniques for modeling accidents, as well as studying the examples used in modeling several previous accidents and review the results of this modeling, it is concluded that it is necessary to improve the modeling techniques. The result was the appearance of hybrid models of risk management in socio-technical systems, which we will consider in detail in our next work.

WHITE NOISE ANALYSIS: SOME APPLICATIONS IN COMPLEX SYSTEMS, BIOPHYSICS AND QUANTUM MECHANICS

2012 ◽  
Vol 26 (29) ◽  
pp. 1230014 ◽  
Author(s):  
CHRISTOPHER C. BERNIDO ◽  
M. VICTORIA CARPIO-BERNIDO
Keyword(s):  
Quantum Mechanics ◽  
Probability Density Function ◽  
Complex Systems ◽  
White Noise ◽  
Noise Analysis ◽  
Social Systems ◽  
White Noise Analysis ◽  
The Past ◽  
White Noise Calculus ◽  
With Memory

The white noise calculus originated by T. Hida is presented as a powerful tool in investigating physical and social systems. Combined with Feynman's sum-over-all histories approach, we parameterize paths with memory of the past, and evaluate the corresponding probability density function. We discuss applications of this approach to problems in complex systems and biophysics. Examples in quantum mechanics with boundaries are also given where Markovian paths are considered.

scholarly journals Theoretical, applied and didactic aspects of research on the problem of sustainable development of regions and countries

2020 ◽  
Keyword(s):  
Sustainable Development ◽  
Educational Institutions ◽  
High Tech ◽  
The Sustainable Development ◽  
Industrial Enterprises ◽  
Iso 14000 ◽  
International Environment ◽  
Hierarchical Levels ◽  
High Turbulence

The purpose of the article is to consider the theoretical foundations, applied aspects, concepts and goals of sustainable development, as well as the study of factors and threats to the sustainable development of Pridnestrovie. Main material. The authors conducted a brief analysis of the main stages of introducing the conceptual apparatus used to assess the degree of world stability as a whole, regions and countries. Various approaches to defining the essence of sustainable development are considered. The author gives an extended interpretation of the "sustainable development" concept, which assumes that it is determined not only by environmental and economic aspects, but also has political, military, informational and other components. Groups and particular examples of indicators that characterize the degree of sustainable development are given. A list of factors that directly or indirectly affect the sustainability of countries and regions has been compiled and analyzed. Hierarchical levels of research on sustainable development issues are highlighted. Emphasis is placed on the study of the features of ensuring sustainable development of regions. Didactic aspects of studying the problems and mechanisms of ensuring sustainable development in educational institutions of different hierarchical levels are also considered. The applied aspects reflected in the article include assessment and analysis of a number of indicators reflecting development sustainability of the Transnistrian region of post-Soviet Moldova. Retrospective, modern and long-term threats to the sustainable development of the Transnistrian region are identified. Conclusions and further research. Some tools (measures) to ensure long-term sustainable development in the context of globalization and high turbulence of the international environment are proposed. Tools aimed at increasing the sustainability of the territorial units’ development of Pridnestrovie, the following are proposed: - diversification and growth of industrialization of economic systems; - preferential support for the development of high-tech material and energy-saving industries; - differentiation minimization of financial and property stratification of the population; - implementation of environmental standards and environmental management (ISO 14000) in industrial enterprises.

scholarly journals Complexity In Psychological Self-Ratings: Implications for research and practice

2020 ◽  
Author(s):  
Merlijn Olthof ◽  
Fred Hasselman ◽  
Anna Lichtwarck-Aschoff
Keyword(s):  
Complex Systems ◽  
Systems Approach ◽  
Complex Dynamics ◽  
Initial Conditions ◽  
Regime Shifts ◽  
Fundamental Aspect ◽  
Time Varying ◽  
Term Prediction ◽  
Sensitive Dependence

Background: Psychopathology research is changing focus from group-based ‘disease models’ to a personalized approach inspired by complex systems theories. This approach, which has already produced novel and valuable insights into the complex nature of psychopathology, often relies on repeated self-ratings of individual patients. So far it has been unknown whether such self-ratings, the presumed observables of the individual patient as a complex system, actually display complex dynamics. We examine this basic assumption of a complex systems approach to psychopathology by testing repeated self-ratings for three markers of complexity: memory, the presence of (time-varying) short- and long-range temporal correlations, regime shifts, transitions between different dynamic regimes, and, sensitive dependence on initial conditions, also known as the ‘butterfly effect’, the divergence of initially similar trajectories.Methods: We analysed repeated self-ratings (1476 time points) from a single patient for the three markers of complexity using Bartels rank test, (partial) autocorrelation functions, time-varying autoregression, a non-stationarity test, change point analysis and the Sugihara-May algorithm.Results: Self-ratings concerning psychological states (e.g., the item ‘I feel down’) exhibited all complexity markers: time-varying short- and long-term memory, multiple regime shifts and sensitive dependence on initial conditions. Unexpectedly, self-ratings concerning physical sensations (e.g., the item ‘I am hungry’) exhibited less complex dynamics and their behaviour was more similar to random variables. Conclusions: Psychological self-ratings display complex dynamics. The presence of complexity in repeated self-ratings means that we have to acknowledge that (1) repeated self-ratings yield a complex pattern of data and not a set of (nearly) independent data points, (2) humans are ‘moving targets’ whose self-ratings display non-stationary change processes including regime shifts, and (3) long-term prediction of individual trajectories may be fundamentally impossible. These findings point to a limitation of popular statistical time series models whose assumptions are violated by the presence of these complexity markers. We conclude that a complex systems approach to mental health should appreciate complexity as a fundamental aspect of psychopathology research by adopting the models and methods of complexity science. Promising first steps in this direction, such as research on real-time process-monitoring, short-term prediction, and just-in-time interventions, are discussed.

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