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This chapter provides an overview of the research management and administration (RMA) sector in Germany. It describes the German research ecosystem, looks at the – in Germany – still young profession of RMA and the professional network FORTRAMA, and provides a brief insight into the work and employment situation of people working in this field. This chapter concludes with a prognosis for the field in the upcoming years.

Given the growing interest in social movements as policy agenda setters, this paper investigates the contexts within which movement groups and actors work with political elites to promote their common goals for policy change. In asking how and why so-called outsiders gain access to elites and to the policymaking process, I address several contemporary theoretical and empirical concerns associated with policy change as a social movement goal. I examine the claim that movements use a multipronged, long-term strategy by working with and targeting policymakers and political institutions on the one hand, while shaping public preferences – hearts and minds – on the other; that these efforts are not mutually exclusive. In addition, I look at how social movement organizations and actors are critical in expanding issue conflict outside narrow policy networks, often encouraged to do so by political elites with similar policy objectives. And, I discuss actors’ mobility in transitioning from institutional activists to movement and organizational leaders, and even to protesters, and vice versa. The interchangeability of roles among actors promoting social change in strategic action fields points to the porous and fluid boundaries between state and nonstate actors and organizations.

Nowadays, there are strong movements towards development and usage of multimedia courseware as a means of knowledge transfer. Many authors of textbooks or lecture notes are now striving to redesign the supporting material for their major courses in a structured, highly efficient way, including interactive content and media. Thus, in order to avoid unnecessary work load resulting from updating and publishing various courseware versions, tools for improving document creation and conversion have been developed and are now being applied for the first time on a new “Electrodynamics”‐‐ courseware.

Recent neuroscience research shows that two large-scale cortical networks are involved in organizational behavior. These two networks are naturally antagonistic – when one is active the other tends to be suppressed. The focus of the chapter is to apply the opposing-domains hypothesis to problems associated with: (1) trying to balance creative thinking and global processing with analytic reasoning and focused attention; (2) avoiding ethical dangers associated with an imbalance in task positive network (TPN) and default mode network (DMN) thinking; and (3) properly motivating and incentivizing employees so as not to lead to an imbalance between the TPN and DMN. We contend that the opposing-domains hypothesis can inform organizational and leadership theory in areas where single-dimensional dual-process models are inadequate.

The social interaction between a deceiver and the deceived opponent is a determining factor for deception that involves emotions. Hence, besides a great amount of cognitive control, a successful lie also requires the regulation of emotions, especially when deceiving somebody face-to-face. The purpose of this paper is to investigate emotion regulation processes in an interpersonal lying experiment and aimed to examine whether fraudsters have well-functioning emotion regulation strategies or show a lack of emotional processes when deceiving face-to-face.

Imprisoned fraudsters (n=11), imprisoned violent offenders (n=10) and non-offenders (n=11) spontaneously deceived an interrogator in a face-to-face situation while the deceivers’ EEG was recorded.

The results showed that a decrease of alpha activity in left dorsolateral prefrontal cortex (dlPFC) predicted a higher frequency of deceptive responses as well as less guilt about deceiving the interrogator. These findings suggest a pivotal role of the left dlPFC in emotion regulation during deception for fraudsters, violent offenders and non-offenders. Unlike violent offenders, fraudsters did not show differences in alpha activity of the dlPFC between truthful and deceptive responses, suggesting that fraudsters are better at emotion regulation while deceiving their opponents.

This study emphasizes the recruitment of emotion regulation processes during deception. The results give first insight into the emotional processes underlying deception in fraudsters.

The functionalities of tourist destinations as regional innovation systems (RIS) still show substantial deficits. Especially for destinations in developing countries (DC), this incurs a wicked problem when it comes to unfolding the potentials of tourism for social innovation and sustainable regional development. Determining factors for these weaknesses are manifold, complex, multi-causal and prone to inherent system-dynamics making it difficult for destination management organisations to proactively monitor and control them in the long term. Backed by empirical comparative findings from rural destinations in Azerbaijan and Ecuador, this chapter tracks down selected major drivers of this wicked problem both from a monocausal-linear and multi-causal-dynamic analytical perspective. As a primary outcome, a set of suitable indicators will be presented to serve as a monitoring framework for a social innovation governance of DC destinations.

This paper aims to show on a widely used benchmark problem that chaotic sequences can improve the search ability of evolution strategies (ES).

The Lozi map is used to generate new individuals in the framework of ES algorithms. A quasi‐Newton (QN) method is also used within the iterative loop to improve the solution's quality locally.

It is shown that the combined use of chaotic sequences and QN methods can provide high‐quality solutions with small standard deviation on the selected benchmark problem.

Although the benchmark is considered to be representative of typical electromagnetic problems, different test cases may give less satisfactory results.

The proposed approach appears to be an efficient general purpose optimizer for electromagnetic design problems.

This paper introduces the use of chaotic sequences in the area of electromagnetic design optimization.

We aim to compare multifunctionality, ecosystem services and just transition as overall conceptual approaches to understand agri-food systems.

This is a theory-motivated literature study.

This paper argues that the concepts of multifunctionality and ecosystem services are unsuitable for considering the systemic complexities of today’s food system in order to tackle its grave environmental and social problems. Furthermore, these two concepts tend to neglect the negative externalities of food systems and overemphasize the positive ones. The notion of just transition puts justice and sustainability at the center of agri-food studies and defines targeted systemic interventions in food systems.

While the approach of just transition is only starting to be widely applied to the agriculture–food nexus, we argue that it is better suited to re-orient diets, production processes, the value chain and labor conditions in a more sustainable direction. The just transition approach is also useful in drafting systemic policy innovations.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2023-0740

Stochastic uncertainties in material parameters have a significant impact on the analysis of real-world electromagnetic compatibility (EMC) problems. Conventional approaches via the Monte-Carlo scheme attempt to provide viable solutions, yet at the expense of prohibitively elongated simulations and system overhead, due to the large amount of statistical implementations. The purpose of this paper is to introduce a 3-D stochastic finite-difference time-domain (S-FDTD) technique for the accurate modelling of generalised EMC applications with highly random media properties, while concurrently offering fast and economical single-run realisations.

The proposed method establishes the concept of covariant/contravariant metrics for robust tessellations of arbitrarily curved structures and derives the mean value and standard deviation of the generated fields in a single-run. Also, the critical case of geometrical and physical uncertainties is handled via an optimal parameterisation, which locally reforms the curvilinear grid. In order to pursue extra speed efficiency, code implementation is conducted through contemporary graphics processor units and parallel programming.

The curvilinear S-FDTD algorithm is proven very precise and stable, compared to existing multiple-realisation approaches, in the analysis of statistically-varying problems. Moreover, its generalised formulation allows the effective treatment of realistic structures with arbitrarily curved geometries, unlike staircase schemes. Finally, the GPU-based enhancements accomplish notably accelerated simulations that may exceed the level of 120 times. Conclusively, the featured technique can successfully attain highly accurate results with very limited system requirements.

Development of a generalised curvilinear S-FDTD methodology, based on a covariant/contravariant algorithm. Incorporation of the important geometric/physical uncertainties through a locally adaptive curved mesh. Speed advancement via modern GPU and CUDA programming which leads to reliable estimations, even for abrupt statistical media parameter fluctuations.