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The purpose of this paper is to show that transmission of information and information storage or registration depends on structures. Structures emerge from coordinated sets of constraints. Complex systems depend on their structures to function. The temporal sequence of changes in the levels of the complex system determines its behavior. These three concepts are intimately linked with the environment. Environment, structure, function and behavior form a complex system–environment unit, which is the operational unit of existence for all open complex systems. Therefore, it becomes a point in the directional propagation of the cause, where stimulus environment becomes a Creaon, and then the Creaon becomes a Genon, becoming in turn the response to the experienced environment. The formation of structures is the main phenomenon of evolution. Evolution can also be accepted as free, in the sense that it does not cost additional deaths.

Mathematical and logical development of the structure and thermodynamics in complex systems.

Based on the above considerations, the authors are going to introduce two fundamental principles in Complex systems Theory: the Matthew Effect and the Principle of Sagan.

But as the authors’ purpose is to give a formal definition of a complex system from a totally theoretical point of view, they establish a relationship between concepts of General Systems Theory, Theory of the Environment, linguistics, Information Theory and thermodynamics.

This research work aims to expose the detailed construction of a framework for translation between Business Process Modeling and Notation (BPMN) and a citizen process language, named GERAL, so that BPMN and modeling non-experts can publicize their procedural information in an understandable and quality manner. The artifact is built in detail through epistemological rigor derived from empirical evidence and best practices related to the topic of understanding business processes, both based on well-established literature on the subject.

In the case of research involving the construction of an artifact, the design science research (DSR) methodology was used to conduct engineering with an emphasis on the scientific method; for evaluation, the authors used the case study methodology. Data collection is based on documentation analysis, questionnaire, interview and observation. The authors also use references associating DSR with case studies, for greater contextual rigor of the research.

This work presents findings and contributions, both new and also reinforcing others already present (1) use of the principles of Citizen/Plain Language improve instructional communication related to process modeling; (2) the citizen process language GERAL itself; (3) the BPMN pra GERAL guide for process translation; (4) qualitative findings from the observation of the use of the artifact in a real case, with non-experts and (5) a well-founded instance of building a notation with an emphasis on understanding, which can be replicated in other cases.

Future perspectives for conducting the research are presented. As a qualitative research instantiated involving a subjective construct, such as understanding, generalization is partially limited and should be interpreted as a transferability criterion. The evaluation involved participants with complete higher education and graduates, even though from areas not dedicated to process modeling or BPMN, being non-experts. The main indicator was understood with limitations in other aspects, such as formal semantics and precise executability.

The formative research showed improvements to the base artifact, the framework first version, which will consequently be reflected in the guide. The GERAL and the guide were very well received, and all participants were able to translate the proposed model effectively, despite small slips in second notation. The guide improved the participants' perception of transparency and understanding of business processes, making them aware of the benefits of this topic.

The output of the built and researched artifact are understandable models by non-experts in technical languages of business processes. It is an alternative for BPMN models and dubious/long texts. Almost unexpectedly, the guide and its principles awaken an appreciation of understandable procedural communication, that is, it builds an intrinsic motivation in the user of the importance of publicizing his processes and assists in compliance with current data disclosure laws. It also builds informational democratic values of better participation and data absorption, from translators to the target audience.

It presents a qualitative approach to deal with business process modeling and understanding; substantiates in detail, using well-established bases in the literature, the construction of a solution aimed at understanding business processes; offers a translation guide for non-experts and experts interested in disclosing and instructing their procedural information modeled in BPMN.

Statistical inference (estimation and testing) for the stochastic volatility (SV) model Taylor (1982, 1986) is challenging, especially likelihood-based methods which are difficult to apply due to the presence of latent variables. The existing methods are either computationally costly and/or inefficient. In this paper, we propose computationally simple estimators for the SV model, which are at the same time highly efficient. The proposed class of estimators uses a small number of moment equations derived from an ARMA representation associated with the SV model, along with the possibility of using “winsorization” to improve stability and efficiency. We call these ARMA-SV estimators. Closed-form expressions for ARMA-SV estimators are obtained, and no numerical optimization procedure or choice of initial parameter values is required. The asymptotic distributional theory of the proposed estimators is studied. Due to their computational simplicity, the ARMA-SV estimators allow one to make reliable – even exact – simulation-based inference, through the application of Monte Carlo (MC) test or bootstrap methods. We compare them in a simulation experiment with a wide array of alternative estimation methods, in terms of bias, root mean square error and computation time. In addition to confirming the enormous computational advantage of the proposed estimators, the results show that ARMA-SV estimators match (or exceed) alternative estimators in terms of precision, including the widely used Bayesian estimator. The proposed methods are applied to daily observations on the returns for three major stock prices (Coca-Cola, Walmart, Ford) and the S&P Composite Price Index (2000–2017). The results confirm the presence of stochastic volatility with strong persistence.

Two sets of dual magnetodynamic and magnetostatic finite element formulations taking thin conducting magnetic shells into account are proposed. The abstraction of the thin region from the computational domain is performed by an appropriate treatment of the surface integral terms arising in the weak formulations. Results are presented for two three‐dimensional test‐problems.

Process modeling guidelines are a valuable instrument for increasing the quality of process models. Since finding and selecting suitable guidelines are challenging, this paper aims to find and select suitable guidelines because they are scattered across the many studies of the literature. Also, not all of them are supported by empirical studies.

The authors conducted a systematic literature review to collect and analyze process modeling guidelines present in the literature and the empirical evidence that supports them.

The authors investigated a total of 793 articles and identified a total of 45 process modeling guidelines in five different categories. For each of these guidelines, the authors report empirical evidence together with corresponding measures, such as comprehension accuracy and error probability.

Compared to the prior literature reviews on process model quality and process modeling guidelines, this article extends current knowledge by analyzing the empirical evidence and variables associated with each guideline. This analysis provides guidance for practitioners and scholars on which guidelines to use while modeling a process and perform further research on.

A new method for the numerical computation of the dynamic behaviour of electro‐dynamic loudspeakers is presented. The numerical scheme, based on the finite element method (FEM), allows the simulation of coupled magnetic, mechanical and acoustic fields. The obtained simulation results are in good agreement with measured data.

Measures the rates of the copper (II)/steel cementation reaction in organic‐water mixture solvent at 25°C using an atomic absorption spectrophotometer. The relation between In C0/C and t in the absence of non‐aqueous solvent and at very diluted CuSO4 solution is given by In C0/C= k.A.t/V, while in the organic‐water mixture the data fit the equation of In C0lC= b+kAt/V. Finds that the rate constant of the cementation reaction increases with increasing the dielectric constant of the mixture. The rate of cementation increased in the order: water > methanol > ethanol > n‐propanol > 2‐propanol.

The rates of copper/zinc cementation reaction in isobutanol‐water mixture was measured at different temperatures using an atomic absorption spectrophotometer. The rate of cementation decreases with increasing the percentage composition of alcohol, and increases by increasing temperature and the rate of rotation. Thermodynamic parameters ΔH*, ΔG* and ΔS* were calculated.

This paper aims to review various techniques used in computational electromagnetism such as the treatment of open problems, helicoidal geometries and the design of arbitrarily shaped invisibility cloaks. This seemingly heterogeneous list is unified by the concept of geometrical transformation that leads to equivalent materials. The practical set‐up is conveniently effected via the finite element method.

The change of coordinates is completely encapsulated in the material properties.

The most significant examples are the simple 2D treatment of helicoidal geometries and the design of arbitrarily shaped invisibility cloaks.

The paper provides a unifying point of view, bridging several techniques in electromagnetism.

Connection boundary conditions are studied with the finite element method using different types of mixed finite elements, i.e. nodal, edge and facet elements of different shapes and degrees, used in both b‐ and h‐conform formulations. The developed associated tools are first applied to periodicity boundary conditions before being applied to the treatment of the moving band in 2D and 3D. This step by step approach enables their validation before pointing out the effect of the considered elements on the accuracy of the moving band method. A special attention is given to the consistency of these boundary conditions with gauge conditions and source magnetic fields.