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The purpose is to offer a systemic perspective how our (understanding of) logic, language, and the world could be altered to create a new kind of science and communication.

The whole experiment is composed as a self‐referential pattern consisting of a series of language experiments and games similar to those to be found in Ludwig Wittgenstein's “Philosophical Investigations”, in Taoist epistemology like in the writings of Lao‐tzu or Chuang‐tzu, or in medieval theology such as in “The Cloud of Unknowing”.

Following the presented thought patterns, it can be shown that we are able to become aware of the ways in which the observer comes (we ourselves come) into being through language. The language experiments illustrate the ways in which our use of language defines our world and our perception of it.

The perspective itself can only be attained if one disregards conventional methods of reasoning such as disciplinary thinking. The language experiments offer a brief introduction to the way of thinking and perceiving they represent. In order to create a lasting effect on the mind, one either has to reread the experiment numerous times or develop similar patterns of thinking.

The paper presents a new methodological approach to how we can think and act as its contents include the most fundamental matters of human nature such as time, space, identity, action, and non‐action.

The paper is aimed at understanding and investigating Gregory Bateson's and Heinz von Foerster's peculiar relation to knowledge, the unknowable, and research. From this, the question of how to carry on their heritage is raised.

The whole paper is designed as an epistemological experiment starting from reflections on Gregory Bateson's metalogues and adopting a methodological style of reasoning. A strong focus is laid on the combination of loose and strict thinking which is characteristic of both Heinz von Foerster and Gregory Bateson.

In order to preserve and further develop their heritage, it is necessary to deal with Bateson's and Foerster's view(s) on the relations between the unknowable and the meaning of research. This has to be done in a manner in which epistemology and research become a personal as well ecological matter in which the relationship between the single individual and its greater context becomes explicit.

This paper refuses to view science and cybernetics within predefined boundaries. It suggests that the form of science and its relations to the individual and the community should be viewed as processes of constant re‐generation.

The value of this paper lies in viewing the similarities of Bateson's and von Foerster's peculiar style as general guidelines for future research and an understanding of epistemology.

Presents an “in memoriam” tribute to Heinz von Foerster.

Outlines his work.

Introduces his inspiring contributions in the applied sciences and to the more general researches on the theoretical and practical implications of the cybernetic epistemology.

Gives insights to the importance of the work of von Foerster.

Experience sampling methods (ESM) have enabled researchers to capture intensive longitudinal data and how worker well-being changes over time. The conceptual advances in understanding the variability of well-being are discussed. These emerging forms in the literature include affective inertia, affective variability, affective reactivity, and density distributions. While most ESM research has relied on the active provision of data by participants (i.e., self-reports), technological advances have enabled different forms of passive sensing that are useful for assessing and tracking well-being and its contextual factors. These include accelerometer data, location data, and physiological data. The strengths and weaknesses of passively sensed data and future ways forward are discussed, where the use of both active and passive forms of ESM data in the assessment and promotion of worker well-being is expected.

Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering approaches to systems analysis and redesign in the health care domain. Commonly employed methods, such as statistical analysis of risk factors and outcomes, are simply not adequate to robustly characterize all system requirements and facilitate reliable design of complex care delivery systems. This is especially apparent in institutional-level systems, such as patient safety programs that must mitigate the risk of infections and other complications that can occur in virtually any setting providing direct and indirect patient care. The case example presented here illustrates the application of various system engineering methods to identify requirements and intervention candidates for a critical patient safety problem known as failure to rescue. Detailed descriptions of the analysis methods and their application are presented along with specific analysis artifacts related to the failure to rescue case study. Given the prevalence of complex systems in health care, this practical and effective approach provides an important example of how systems engineering methods can effectively address the shortcomings in current health care analysis and design, where complex systems are increasingly prevalent.

Pumped-storage hydroelectricity (PSH) is considered as an effective method to moderate the difference in demand and supply of electricity. This study aims to understanding of the high capacity of energy production, storage and permanent exploitation has been the prominent feature of pumped-storage hydroelectricity.

In this paper, the optimization of energy production and maintenance costs in one of the large Iranian PSH has been discussed. Hence, a mathematical model mixed integer nonlinear programming developed in this area. Minimizing the difference in supply and demand in the energy production network to multiple energies has been exploited to optimal attainment scheme. To evaluate the model, exact solution CPLEX and to solve the proposed programming model, the efficient metaheuristics are utilized by the tuned parameters achieved from the Taguchi approach. Further analysis of the parameters of the problem is conducted to verify the model behavior in various test problems.

The results of this paper have shown that the meta-heuristic algorithm has been done in a suitable time, despite the approximation of the optimal answer, and the consequences of research indicate that the model proposed in the studied power plant is applicable.

In pumped-storage hydroelectricity plants, one of the main challenges in energy production issues is the development of production, maintenance and repair scheduling concepts that improves plant efficiency. To evaluate the mathematical model presented, exact solution CPLEX and to solve the proposed bi-objective mixed-integer linear programming model, set of efficient metaheuristics are used. Therefore, according to the level of optimization performed in the case study, it has caused the improvement of planning by 7%–12% and effective optimization processes.