Synergetic Framework Research Articles

Technologies of the future agro-industrial complex in the aspect of complexity theory

The article is devoted to the problem area of the Russian agro-industrial complex – the complexity of the emerging set of technologies. The focus is on complexity theory, implemented within the framework of synergetics. The range of issues discussed are includes: prerequisites for the formation of complexity theory in agricultural science; creation of a generalized concept of the agricultural technologies complexity; architecture of the complexity of production, processing and food technologies as a whole; features of the mathematical apparatus for modeling agro-industrial complex technological complexes; an emergent effect that arises from the interaction of heterogeneous technologies that have a common goal; designing the complexity of connected technologies; the pace of the combined technologies development; technological requirements for the output parameters of processes throughout the entire technological chain; features of the design of complex technologies with a quantitative assessment of their level of complexity; consideration of a complex technological system as an object of synergetics. Particular attention was paid to the dialectical development of complexes of modern innovative technologies as the theoretical basis for the entry of the Russian agro-industrial complex into the Sixth technological order.

House of EcoLean A synergetic framework for the structured integration of Lean and Green

This paper presents the House of EcoLean model, a framework that combines environmental sustainability with lean management principles and addresses the growing urgency of sustainable production in the wake of global warming and climate change. The model responds to the need for enhancing resource efficiency while maintaining economic efficiency in an environmentally conscious market. The model synthesizes findings from the literature on synergies and challenges inherent in combining Lean and Green practices. It integrates Lean management methods, known for reducing waste and improving efficiency, with Green practices aimed at minimizing environmental impacts. This approach results in a synergy where operational efficiency is achieved alongside environmental responsibility. However, existing literature reveals a gap in comprehensive, systematic models for implementing Lean and Green practices effectively. Therefore, the House of EcoLean model aims to fill this gap by providing a structured framework for organizations.

Deep hybrid model with satellite imagery: How to combine demand modeling and computer vision for travel behavior analysis?

Classical demand modeling analyzes travel behavior using only low-dimensional numeric data (i.e. sociodemographics and travel attributes) but not high-dimensional urban imagery. However, travel behavior depends on the factors represented by both numeric data and urban imagery, thus necessitating a synergetic framework to combine them. This study creates a theoretical framework of deep hybrid models consisting of a mixing operator and a behavioral predictor, thus integrating the numeric and imagery data for travel behavior analysis. Empirically, this framework is applied to analyze travel mode choice using the Chicago MyDailyTravel Survey as the numeric inputs and the satellite images as the imagery inputs. We found that deep hybrid models significantly outperform both classical demand models and deep learning models in predicting the aggregate and disaggregate travel behavior. The deep hybrid models can reveal spatial clusters with meaningful sociodemographic association in the latent space. The models can also generate new satellite images that do not exist in reality and compute the corresponding economic information, such as substitution patterns and social welfare. Overall, the deep hybrid models demonstrate the complementarity between the low-dimensional numeric and high-dimensional imagery data and between the traditional demand modeling and recent deep learning. They enrich the family of hybrid demand models by using deep architecture as the latent space and enabling researchers to conduct associative analysis for sociodemographics, travel decisions, and generated satellite imagery. Future research could address the limitations in interpretability, robustness, and transferability, and propose new methods to further enrich the deep hybrid models.

Fast and synergetic fatigue life prediction of short fiber reinforced polymer composites from monotonic and cyclic loading behavior

Grasping the fatigue behavior of short fiber reinforced polymers (SFRP) is difficult due to varying microstructures throughout the material cause variations in material properties. To efficiently predict the stress versus number of cycles to failure (S–N) curve of SFRP featuring any microstructure, a synergetic framework stemming from quasi-static damage and cyclic modulus degradation is proposed. Firstly, well-designed tests are conducted, and an intrinsic relationship between the modulus degradation and the fatigue life is captured. Secondly, the microstructure-independent relationships among the first cycle damage (FCD), the stable relative modulus degradation rate (SRMDR), and the fatigue life are deduced and demonstrated from multi-scale perspectives. Finally, FCD-based and SRMDR-based approaches are adopted to generate S–N data in the low-life and high-life regions, respectively. Results indicate that the synergistic method retains the efficiency of the individual method and further reduces the error by more than 80%. Moreover, discoveries herein can equip engineers with powerful S–N prediction tools in practice and reveal the fatigue mechanism of SFRP.

A Synergetic Framework for Green and Lean Manufacturing Practices in SMEs: Saudi Arabia Perspective

Manufacturers are urged to improve their sustainability performance, in terms of keeping the balance among economic, environmental, and social performances. Nevertheless, top managers and company leaders tend to complain that it is not possible to implement greener solutions without large investments. In this context, the well-known lean manufacturing approach, mainly focused on waste reduction, has come to be viewed with a renewed interest towards improving not only economic but also environmental and social aspects. Unfortunately, while there is no doubt that lean manufacturing increases productivity, efficiency, quality, and customers’ satisfaction by reducing wastes, there is a lack of research about the benefits of lean practices in relation to green manufacturing. The aim of the present work is to investigate the level of integration of green and lean manufacturing approaches, focussing specifically on the context of Saudi Arabia. As a result, a novel theoretical framework capable of combining the lean and green approaches within a synergetic environment, enhancing the former and mitigating the latter, is proposed. A survey was put together for assessing a number of hypotheses and validating the proposed framework. Qualitative analysis based on a survey conducted in different SME manufacturing companies in Saudi Arabia is presented. The statistical analysis of the collected data shows a clear trend that in Saudi Arabia, companies are starting to have a positive view about the integration of lean and green approaches implementation. The results highlighted higher maturity among the respondents with regard to the lean implementation, focussing on operational improvements. The improvements that can be attained with regard to environmental performance are coming next, and the framework proposed can help increase awareness among Saudi manufacturing SMEs.

Optimization of Synergetic Seismic and Energy Retrofitting Based on Timber Beams and Bio-Based Infill Panels: Application to an Existing Masonry Building in Switzerland

This paper presents an optimization process for the design of a novel synergetic seismic and energy retrofitting strategy that combines the favorable mechanical properties of timber and the attractive thermal insulation properties of bio-based materials. The novel method, defined as Strong Thermal and Seismic Backs (STSB), comprises the attachment of timber frames and bio-based thermal insulation panels on the vertical envelope and the facade walls of existing masonry buildings, thus improving both the seismic behavior and the energy performance of these buildings. This strategy is integrated and visualized in a novel synergetic framework for the holistic evaluation of the seismic behavior, the energy performance and the carbon footprint of existing buildings, defined as the Seismic and Energy Retrofitting Scoreboard (SERS). The benefit of the novel retrofitting strategy is quantified based on the numerical simulation of the seismic behavior of an unreinforced masonry building located in Switzerland, an assessment of the energy performance of the building and an evaluation of the carbon footprint of the proposed retrofit solution. Three retrofitting alternatives are investigated for the synergetic seismic and energy retrofitting of the building, comprising timber beams and two different bio-based materials for the thermal insulation of the vertical envelope of the building: cork and recycled natural grass. The optimal seismic and energy retrofitting strategy for the building among the alternatives assessed in this study is chosen based on a Multi-Criteria Decision Making (MCDM) procedure.

Pandemic crisis, an incentive for the modernization of moldovan society

The social order and stability, security and well-being have become essential in the context of the pandemic crisis, highlighting many social and human issues. This article, focusing on the identification of governance mechanisms for the protection of human rights, emphasizes the weaknesses shaped by the pandemic crisis and argues in favor of the need to modernize the Moldovan society. With the assessment of the social-human impact of the pandemic as main objective, the theoretical-methodological framework of synergetics has been used, enabling to deal with the problem within the conceptual, functional, and operational frameworks.

Utilizing innovative technologies to achieve resilience in heritage buildings preservation

Preservation usually keeps nation's history alive, and the advantages of preservation and resilience, which is an advanced procedure, are clear, as these processes have social and environmental values, so they require a synergetic framework to merge preservation, resilience, and innovative technologies to sustain efficient preservation. The aim of the paper is to develop preservation as a resilient and sustainable ongoing process, through integrating HBIM and IOT tools in the application of resilient preservation (Elabd., 2020). To achieve the aim of the paper, a number of research methods have been adopted: Firstly, literature of theoretical background, in order to identify the value and risks of heritage buildings, develop the characteristics for efficient heritage buildings and to assess different resilience frameworks for heritage buildings and communities then analyze and develop the results. Secondly, analysis of case studies in order to identify how to practically implement resilience through HBIM and IOT technologies. The result of the research process is a framework introduced at the end of this paper which considers the steps of preservation, and resilience with the people involvement in the process, it will merge resilience as a preservation approach, HBIM as a documentation tool, IOT as a smart tool and resilience goals as guiding principles.

Toward a Theory Development on the Synergetic Entrepreneurship in the Hotel Industry

The study uses the innovative model of Albergo Diffuso, or 'Dispersed Hotel', to substantiate the theory development of the organic synergetic entrepreneurship in hospitality. In this context, it involves the interrelationship between hotel management; restoration of ancient, inhabitable, and abandoned architectures; upcycling sustainability; and the synergetic interplay of all stakeholders. Currently, the number of abandoned structural architectures in Italy is about seven million. This initiative is beneficial to entrepreneurs engaging in upcycling abandoned structures to revive them and create jobs while adding value to the local economy. Identifying the development of concept will serve as the building block to create a synergetic framework for future research and for practitioners in the field.

Understanding the relationships between information architectures and business models: An empirical study on the success configurations of smart communities

With the development of Internet of Things (IoT) and big data, many smart city and smart community projects bloomed in recent years. Following the two approaches of smart city development from Kuk and Janssen (2011), the study proposed a synergetic framework for understanding the relationship between information architectures and business models. Since community is a basic unit of a city, the development goals of a smart city are needed to be implemented at the level of communities. The development path of smart community is a configuration set including both information architecture factors and business model patterns. Based on the cases of 69 communities from Beijing, China, we explored successful configurations based on the framework. Using the Qualitative Comparative Analysis (QCA) method, we found that a successful smart community depends on the integration between information architectures and business models, and different business models rely on different information architectures elements. Networking, terminals, and sensors are key information architecture elements that are used more frequently in business models.

History and development of Haken's synergetics

History of the emergence, establishment and development of Haken's synergetics is thoroughly considered. Synergetics as a quite young view of the world has originated due to the necessity of finding adequate, reasonable, calculated and forecasted by science answers to global challenges that civilizational human development makes. Synergetics is a general theory of self-organization. It formulates the general principles of self-organization, which are true for all levels of matter. A peculiarity of synergetic approach is the transition from research of simple systems to the complex ones, from open to closed ones, from linear to nonlinear ones, from the study of equilibrium and process near the equilibrium to the delocalization and instability, to the investigation of things, which are happening far from equilibrium. The contribution of the science schools and H. Haken to the establishment of synergetics is revealed. This article mentions the perspectives of development of Haken's synergetics, nonlinear dynamics as the methodology of solution to the problems, which the economy and the whole society face. Nonlinear dynamics offers the basic models, new terms and methods, which can or cannot be used in such situation. They can become the framework for building the new nonlinear cognitive paradigm or they can stay the separate discoveries in different disciplines. Synergetics is formed as an interdisciplinary scientific approach, which develops the methods of investigation of open systems' behavior and the complex behavior of their components. The perspectives of the use of synergetics in science research are represented. Some systems in physics, chemistry and biology provide the simplest examples of self-organization. Modern areas of research within the framework of synergetics and nonlinear dynamics are considered. The results formed a strong basis for the further research in the field of economic science regarding synergetics. Synergetics is a powerful mathematical tool to analyze and solve modern nonlinear economic phenomena, which form the synergetic system and can't be described by classic economic-mathematical methods. Synergetics is one of effective approaches to general problems of the description of complexity, characteristic of phenomena of self-organization.

Ozone-Free Synthesis of Ozonides: Assembling Bicyclic Structures from 1,5-Diketones and Hydrogen Peroxide.

Reactions of 1,5-diketones with H2O2 open an ozone-free approach to ozonides. Bridged ozonides are formed readily at room temperature in the presence of strong Brønsted or Lewis acids such as H2SO4, p-TsOH, HBF4, or BF3·Et2O. The expected bridged tetraoxanes, the products of double H2O2 addition, were not detected. This procedure is readily scalable to produce gram quantities of the ozonides. Bridged ozonides are stable and can be useful as building blocks for bioconjugation and further synthetic transformations. Although less stabilized by anomeric interactions than bis-peroxides, ozonides have an intrinsic advantage of having only one weak O-O bond. The role of the synergetic framework of anomeric effects in bis-peroxides is to overcome this intrinsic disadvantage. As the computational data have shown, this is only possible when all anomeric effects in bis-peroxides are activated to their fullest degree. Consequently, the cyclization selectivity is determined by the length of the bridge between the two carbonyl groups of the diketone. The generally large thermodynamic preference for the formation of cyclic bis-peroxides disappears when 1,5-diketones are used as the bis-cyclization precursors. Stereoelectronic analysis suggests that the reason for the bis-peroxide absence is the selective deactivation of anomeric effects in a [3.2.2]tetraoxanonane skeleton by a structural distortion imposed on the tetraoxacyclohexane subunit by the three-carbon bridge.

Research on duplicate combined forecasting method based on supply chain coordination

The coordinated forecast of agricultural means supply chain not only needs cooperation and information sharing among different parties but also needs scientific forecast methods and means. This paper firstly builds the synergetic framework of demand forecast and analyzes the key factors of demand forecast coordination in different forecast stages and then confirms duplicate combined forecast method for time series based on the factors which influence the demand of agricultural means. GM(1,1) is used in the model to forecast the fluctuant items of long-term trend; BP neural network and ARMA are used to simulate periodically fluctuant items. Particle swarm algorithm is used to confirm the combined forecast model of periodically fluctuant items. Finally, a calculating example is used to compare the forecast precision of the combined forecast model, GM(1,1), BP neural network model and ARMA model. In conclusion, duplicate combined forecast model is applicable to forecasting the demand of agricultural means which are influenced by long-term trend and periodically fluctuant factors.

Synergetics of surface sputtering by polyatomic ions

The phenomenon of the sputtering of solids under bombardment with molecular ions is considered within the framework of synergetics. The complete sputtering process is divided into three stages with the help of the concept of three successive regimes: the implementation of a dynamic system, the appearance of a statistical system, and the achievement of a completely statistical system. The manifestation of the basic mechanisms is revealed: elastic cascades and mass transfer under the action of shock waves.

Perspektiver inden for teknologisk-assisteret indsamling af data i psykologisk forandring – rammesat af den synergetiske psykologi.

It is a methodological challenge to describe change processes within psychology, as change is often characterized by both loss and growth in function. Especially compensatory processes may be impossible to describe by conventional methods. These methods typicallydetect changes in the level of functionality from one point to another, but are unable to identify the processes that mediate the development. A micro-genetic method that is based on high-frequency data collection, may be suitable to describe change processes in normativepopulations, as well as psychopathological. As data density is greater and the observed processes of change can be non-linear, registration, analyzes, and interpretation of microgenetic data do, however, challenge the conventional methods of measurement in psychologicalresearch. Within the framework of Synergetics (a theory of self-organization in complex dynamical systems), Günter Schiepek and colleagues have developed a tool for registration and analysis: the Synergetic Navigation System. This system enables closemonitoring of clients’ mental state during critical development phases and offers support for therapeutic processes. In both cases, clients’ dynamic development processes exhibit characteristics that can be described and analyzed using concepts and methods from Synergetics. This publication describes how the approach can be applied in research in adult development of emotion regulation and how it may be useful in a clinical setting.

Formal Derivation of Lotka–Volterra–Haken Amplitude Equations of Task-Related Brain Activity in Multiple, Consecutively Performed Tasks

The Lotka–Volterra–Haken equations have been frequently used in ecology and pattern formation. Recently, the equations have been proposed by several research groups as amplitude equations for task-related patterns of brain activity. In this theoretical study, the focus is on the circular causality aspect of pattern formation systems as formulated within the framework of synergetics. Accordingly, the stable modes of a pattern formation system inhibit the unstable modes, whereas the unstable modes excite the stable modes. Using this circular causality principle it is shown that under certain conditions the Lotka–Volterra–Haken amplitude equations can be derived from a general model of brain activity akin to the Wilson–Cowan model. The model captures the amplitude dynamics for brain activity patterns in experiments involving several consecutively performed multiple-choice tasks. This is explicitly demonstrated for two-choice tasks involving grasping and walking. A comment on the relevance of the theoretical framework for clinical psychology and schizophrenia is given as well.

Consumers’ Variety Seeking: From an Information Perspective

Variety seeking is one of the most common psychological heuristics when consumers make decisions. The literature posits that understanding the mechanism of variety seeking is critical to explain consumers’ decision-making process. Yet little is known about the effects of information, which also significantly influences consumers’ choice behavior. Drawing on established theories of psychology and economics, the author develops a synergetic framework investigating the impact of information adequacy on degree of variety seeking. Results from three studies show that information scarcity significantly stimulates the degree of variety seeking (Study 1). In addition, consumers’ preference stability, which represents consumers’ inherent information, also inhibits the degree of variety seeking (Study 2). Finally, consumers’ expertise level, which represents information acquired by learning and experience, shows a moderating effect on variety seeking-information link. Specifically, novice consumers are more likely to prefer variety than expert consumers when information is limited (Study 3).

Interpersonal Distances are the Consequence of the Self-organization of Human Spatial Behavior: A Theoretical Study Based on Synergetics

It is well documented that humans position themselves at preferred distances with respect to others. The distances characterizing human spatial behavior are known to depend on the social interactions between the actors and their dyadic partners. A quantitative model that predicts interpersonal distances and is based on the concept of the self-organization of human spatial behavior has been missing in the literature. In the present study such a model is derived within the framework of synergetics, a theory of self-organization. The model corresponds to an evolution equation for the variations of interpersonal distance over time. In line with the equilibrium point hypothesis of interpersonal distances discussed in the literature, preferred distances are represented by the fixed points of the proposed evolution equation. In this context, it is argued that the adjustment of an actor from a personal to an intimate interpersonal distance can be considered as a subcritical pitchfork bifurcation. As a by-product of the proposed theoretical approach, the notion is supported that interpersonal distances are body-scaled.

Extensible markup language and knowledge management

Explores the use of extensible markup language (XML) to both store and enforce organizational data definitions, thus providing a synergetic framework for leveraging the potential of knowledge management (KM) tools. XML provides a flexible markup standard for representing data models. KM provides IT processes for capturing, maintaining, and using information. While the processes that comprise KM and the mechanisms that form XML differ greatly in concept, they both deal in a fundamental way with information. XML maintains the context of data (i.e. data model) which enables data to represent information. KM provides the framework for managing this information. Explores the vital role that XML can play to support an efficient corporate KM strategy.

Quantitative social science

General concepts for the quantitative description of the dynamics of social processes are introduced. They allow for embedding social science into the conceptual framework of synergetics. Equations of motion for the socioconfiguration are derived on the stochastic and quasideterministic level. As an application the migration of interacting human populations is treated. The solutions of the nonlinear migratory equations include limit cycles and strange attractors. The empiric evaluation of interregional migratory dynamics is exemplified in the case of Germany.