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The numerical computation of magnetization processes in moving and rotating assemblies requires the usage of vector hysteresis models. A commonly used model is the so-called Mayergoyz vector Preisach model, which applies the scalar Preisach model into multiple angles of the halfspace. The usage of several scalar models, which are optionally weighted differently, enables the description of isotropic as well as anisotropic materials. The flexibility is achieved, however, at the cost of multiple scalar model evaluations. For solely isotropic materials, two vector Preisach models, based on an extra rotational operator, might offer a lightweight alternative in terms of evaluation cost. The study aims at comparing the three mentioned models with respect to computational efficiency and practical applicability.

The three mentioned vector Preisach models are compared with respect to their computational costs and their representation of magnetic polarization curves measured by a vector vibrating sample magnetometer.

The results prove the applicability of all three models to practical scenarios and show the higher efficiency of the vector models based on rotational operators in terms of computational time.

Although the two vector Preisach models, based on an extra rotational operator, have been proposed in 2012 and 2015, their practical application and inversion has not been tested yet. This paper not only shows the usability of these particular vector Preisach models but also proves the efficiency of a special stageless evaluation approach that was proposed in a former contribution.

This paper discusses country‐of‐origin effects for automotive brands in France, Germany, Italy and Spain. The focus is on two subdimensions of country‐of‐origin effects: perception of quality and emotions‐related aspects. Based on car drivers’ self‐images of various makes it is delineated that brands are perceived to have lower quality when evaluated in foreign markets. For Germany, Italy and Spain different results were found concerning the perception of emotional aspects. With respect to this dimension, foreign brands are evaluated superior in Germany. The opposite situation was found for foreign brands in Italy and Spain. Significant differences in country‐specific brand images were identified within the countries under consideration. The results apply to brands of the low/medium as well as luxury segment.

This chapter provides an analysis of the history of politics in sport, how nationalism has amplified divisions in politics and sports and how social media has impacted politics in sports.

The authors examine how the nationalism narrative is present in sports, thus further enmeshing politics in sport. A review of literature and case studies are used to provide context of how athletes have used their social media for political purposes and how political ideologies and social media can impact international sport markets.

While politics and sports being deeply intertwined is not new, social media has pushed even publicly apolitical organizations to get involved in political discussions. Social media has allowed for some to continue pushing a nationalism narrative as it relates to sport and challenge athletes who appear to threaten seemingly nationalistic values. However, social media also enables athletes to engage their fans and advocate for themselves and political issues in real time.

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The chapter looks at nationalism, politics in sport and how social media can be used to further amplify and/or divide over political ideologies. Athletes are in a unique position to use their social media platforms to speak directly to their fans and engage in politics, pushing organizations to seemingly abandon their once public apolitical stances. This chapter examines how athletes, organizations and politicians are using social media to debate matters, advocate for social justice and call attention to a myriad of political issues.

This paper aims to explore the behaviour of city managers in the ongoing context of city leadership in Italy where there are high levels of political, economic and social turbulence.

A survey was administered to 140 Italian city managers, with a response rate of 56%. The main research questions were the following: Who are the Italian city managers? How do they spend their time? Are their actions influenced by political, administrative, management and/or governance-related pressures?

The results depicted Italian city managers as caged leaders. They feel like they are capable of soaring to great heights outside the boundaries of their organisations, but they are constrained by their day-to-day organisational activities.

This paper offers new empirical insights into the different leadership activities carried out by Italian city managers discussing the differences between the time devoted to some activities and the perception of their leadership style.

High performance computing (HPC) is used to solve complex calculations that personal computing devices are unable to handle. HPC offers the potential for small- and medium-size enterprises (SMEs) to engage in product innovation, service improvement and the optimization of resource allocation (Borstnar and Ilijas, 2019). However, the expensive infrastructure, maintenance costs and resource knowledge gaps that accompany the use of HPC can make it inaccessible to SMEs. By moving HPC to the cloud, SMEs can gain access to the infrastructure without the requirement of owning or maintaining it, but they will need to accept the terms and conditions of the cloud contract. This paper aims to improve how SMEs access HPC through the cloud by providing insights into the terms and conditions of HPC cloud contracts.

This paper adopts a systematic literature review by implementing a four-step approach. A comprehensive search was undertaken and results synthesized to enable this paper’s objectives to be met.

This paper proposes that SMEs could gain competitive advantage(s) by understanding their own needs and improving their contract negotiation abilities, service management skills and risk management abilities before accepting the terms and conditions of the cloud contract. Furthermore, a checklist, service-level agreement, easily ignored elements and risk areas are presented as guidance for SMEs when reviewing their HPC cloud contract(s).

While HPC cloud contracts are a niche research topic, it is one of the key factors influencing the ability of SMEs to access HPC through the cloud. It is, however, by no means a level playfield with SMEs at a distinct disadvantage because of not influencing the writing up of the HPC cloud contract. The added value of the paper is that it contributes to our overall understanding of the terms and conditions of HPC cloud contracts.

Proponents of community engagement to promote social change advocate bringing together researchers, practitioners, politicians, business leaders, advocates and other relevant stakeholders to identify and solve community problems and issues. This chapter will describe the need for academic and community partnerships, how academic institutions can develop priorities, governance and financial structures that facilitate stronger, more effective community relationships and make contributions to the resolution of social ills. The current literature on community engagement, community-based participatory research, community action research, community-engaged scholarship and service-learning are reviewed. The principles and tenets of engaged scholarship are reviewed, barriers to implementation are discussed and examples provided. Academic institutions can play an important role in social change if they are willing to embrace community engagement. A key to success is building trust, sharing power, fostering co-learning, enhancing strengths and resources, building capacity, and addressing community-identified needs. Academic participation requires institutional and faculty commitment to engagement principles, flexible and inclusive governance structures and strategies to educate community members. The development of the relationships and structures required for successful community engagement can be inhibited by imbalances in power and knowledge that often exist among practitioners, researchers, and community members. This review may assist academic institutions to examine implementation of tenure and promotion policies, oversight strategies and structures that assure community development and benefit, as well as opportunities for faculty, staff and student training on principles and best practices of community-engaged research.

Briefly reviews previous research on the value of investment advisors’ recommendations and presents a study comparing portfolio returns from analysts’ recommendations in the Wall Street Journal’s “Dartboard” contest 1990‐1996, four randomly selected shares and the Dow Jones Industrial Average. Finds the analysts’ portfolio has the highest average returns and standard deviation; and that although some individual analysts have excellent scores in the contest, this is inversely related to the number of times they participate. Suggests that they do not significantly outperform other portfolios, but that contest winners’ tips have significant effects on the market, especially for non‐listed shares. Assesses the implications of the results for the efficient market hypothesis and the share prices of firms with higher asymmetric information.

Are public officials held accountable for political scandals? Existing scholarship typically focuses on voters' response to scandals showing politicians are often punished at the polls for scandals. Specifically, they are more likely to be punished for the abuse of public office for personal gain than for scandals involving personal affairs. That said, not all politicians implicated in scandals seek reelection. Although difficult to observe, many politicians may be pushed out of office by their political party before they have an opportunity to stand for reelection – resigning or retiring before the next election. Others are appointed and consequently never stand for election. We collect a new dataset to understand how scandals affect politicians' careers and whether public officials are held accountable at other junctures. We trace the pathways of politicians implicated in scandals. We document the type and onset of scandals, individuals' reactions to scandals, and whether and when they leave office. Our novel data contribution provides rich descriptive statistics on corruption in the US Congress over time, with new insights into the conditions under which scandals end politicians' careers. The common patterns and significant differences revealed in these data suggest that the impact of scandals on public officials' careers may have less to do with the nature of the scandal or the specific actions undertaken by those implicated and may depend more on the actions of political parties.

A major purpose of vector hysteresis models lies in the prediction of power losses under rotating magnetic fields. The well-known vector Preisach model by Mayergoyz has been shown to well predict such power losses at low amplitudes of the applied field. However, in its original form, it fails to predict the reduction of rotational power losses at high fields. In recent years, two variants of a novel vector Preisach model based on rotational operators have been published and investigated with respect to general accuracy and performance. This paper aims to examine the capabilities of the named vector Preisach models in terms of rotational hysteresis loss calculations.

In a first step, both variants of the novel rotational operator-based vector Preisach model are tested with respect to their overall capability to prescribe rotational hysteresis losses. Hereby, the direct influence of the model-specific parameters onto the computable losses is investigated. Afterward, it is researched whether there exists an optimized set of parameters for these models that allows the matching of measured rotational hysteresis losses.

The theoretical investigations on the influence of the model-specific parameters onto the computable rotational hysteresis losses showed that such losses can be predicted in general and that a variation of these parameters allows to adapt the simulated loss curves in both shape and amplitude. Furthermore, an optimized parameter set for the prediction of the named losses could be retrieved by direct matching of simulated and measured loss curves.

Even though the practical applicability and the efficiency of the novel vector Preisach model based on rotational operators has been proven in previous publications, its capabilities to predict rotational hysteresis losses has not been researched so far. This publication does not only show the general possibility to compute such losses with help of the named vector Preisach models but also in addition provides a routine to derive an optimized parameter set, which allows an accurate modeling of actually measured loss curves.

This paper examines the impact of Central Bank Digital Currencies (CBDCs), regulated stablecoins and tokenized traditional assets on the cryptocurrency market, following the guidelines set by the Basel Committee. This study aims to analyze the implications for secure storage, cross-border transfers and necessary investments.

The paper uses a policy analysis approach to assess the potential effects of the Basel Committee’s regulations on CBDCs, regulated stablecoins and tokenized traditional assets. It explores their impact on the cryptoasset market, strategies of central and commercial banks, payment systems and risk management.

The adoption of CBDCs, regulated stablecoins and tokenized traditional assets is expected to grow rapidly in the coming years. It raises concerns about secure storage, cross-border transfers and required investments. Central banks are likely to introduce CBDCs and authorize stablecoin issuance, aiming for efficient monetary policies and risk management. Basel III regulations may lead to asset tokenization by banks, reducing asset size and increasing fee-based income.

This paper provides insights into the potential impact of the Basel Committee's regulations on CBDCs, regulated stablecoins and tokenized traditional assets. It contributes to the understanding of the evolving cryptoasset market and the strategies of central and commercial banks in adopting these technologies. The findings offer valuable information for policymakers, regulators and market participants in navigating the changing landscape of digital assets.