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While mentoring plays an important role in Japanese working places, formal mentoring programs have only recently been introduced. This chapter provides an overview of the development of mentoring in Japan and presents a conceptual model to comprehend mentoring in Japan and beyond. The chapter begins with the illustration of how the characteristics of Japanese organizations and Japanese-style human resource management (HRM) promoted the naturally occurring informal mentoring in the Japanese workplace in early years. In response to the stagnating economy and declining demographics during the last few decades, many Japanese firms adopted Western-style HRM practices, including formal mentoring programs. We provide statistical data to demonstrate the widespread adoption of formal mentoring programs in recent years. We then report the results of the systematic review of the academic literature on mentoring in Japan, suggesting that research on mentoring in Japan is still in the early stage. Based on the historical overview, current data and the systematic review of the academic literature, we develop a conceptual model of how the socio-cultural and economic context as well as organizational characteristics influence the adoption of Japanese-style naturally occurring informal mentoring and/or Western-style formal mentoring practices. We conclude this chapter with practical and theoretical implications.

The purpose of this paper is to automate the pre‐process that is the modeling and mesh generation of the 3‐dimensional finite element method; and genetic algorithm (GA) is embedded to this program by using Shell script.

It is operated by Bash (Bourne‐again shell) to implement the GA. In order to adopt the analysis of 3‐D FEM as evaluation in the GA, the pre‐processes such as moving nodes, 3‐D modeling, and mesh generation must be automated. In the “Evaluation”, these pre‐processes are connected and automated by using shell script. The “Evaluation check” is to prevent re‐evaluation. In the population, there are some individuals that are already evaluated in the previous generations because of elitist strategy or result of genetic operations. In order to shorten computing time for the main process, these individuals are skipped in the “Evaluation”.

It was confirmed that the cogging torque of SPMSM has been decreased by 30 per cent and the improvement about 2.5 times the detent force of the 2 degree of freedoms actuator. Moreover, GA was able to be made parallel by distributing the gene to several PC, and the total calculation time was able to be shortened by below 1/2.

A novel method of the 3‐D FEM with parallel embedded GA has been proposed and demonstrated to be computationally capable.

Shaded‐pole type induction motors are simple structure, strongly‐built and low cost since they have no condensers. Therefore they are used generally in cooling fans in the devices around computers etc., even though they are of low efficiency due to the power loss in the shading coils.

Entrepreneurship evolves in and around fields, particularly around the creation of opportunities. A central problem remains that entrepreneurial opportunities are both distributed among and co-created by embedded actors. We propose framing this in cultural terms as a “multiverse problem,” whereby entrepreneurial possibilities are understood within the bounds of a field, but also through traversing adjacent topographies. We argue that a focus on entrepreneurial moments captures important dynamics that bring together adjacent possibles, leading to drastically different pathways. The usefulness of this argument is illustrated in this paper through the articulation of a cultural cartographic approach to mapping and realizing entrepreneurial possibilities. We develop four principles of cultural cartography, apply them to several examples, and demonstrate implications to cultural entrepreneurship and adjacent theoretical traditions.

The purpose of this paper is to apply the Steady State Kalman Filter for temperature measurements of tissues via magnetic resonance thermometry. Instead of using classical direct inversion, a methodology is proposed that couples the magnetic resonance thermometry with the bioheat transfer problem and the local temperatures can be identified through the solution of a state estimation problem.

Heat transfer in the tissues is given by Pennes’ bioheat transfer model, while the Proton Resonance Frequency (PRF)-Shift technique is used for the magnetic resonance thermometry. The problem of measuring the transient temperature field of tissues is recast as a state estimation problem and is solved through the Steady-State Kalman filter. Noisy synthetic measurements are used for testing the proposed methodology.

The proposed approach is more accurate for recovering the local transient temperatures from the noisy PRF-Shift measurements than the direct data inversion. The methodology used here can be applied in real time due to the reduced computational cost. Idealized test cases are examined that include the actual geometry of a forearm.

The solution of the state estimation problem recovers the temperature variations in the region more accurately than the direct inversion. Besides that, the estimation of the temperature field in the region was possible with the solution of the state estimation problem via the Steady-State Kalman filter, but not with the direct inversion.

The recursive equations of the Steady-State Kalman filter can be calculated in computational times smaller than the supposed physical times, thus demonstrating that the present approach can be used for real-time applications, such as in control of the heating source in the hyperthermia treatment of cancer.

The original and novel contributions of the manuscript include: formulation of the PRF-Shift thermometry as a state estimation problem, which results in reduced uncertainties of the temperature variation as compared to the classical direct inversion; estimation of the actual temperature in the region with the solution of the state estimation problem, which is not possible with the direct inversion that is limited to the identification of the temperature variation; solution of the state estimation problem with the Steady-State Kalman filter, which allows for fast computations and real-time calculations.

Our editorial argues that categories theory can be advanced by embracing heuristics research, and the insight that audiences often evaluate items based on multiple valued criteria. Thus, rather than building on extant theory – which suggests that categories embody specific evaluative criteria, or that audiences operate according to a set “theory of value” – the authors argue that hybrids research would benefit from attending to the underlying processes that actors use to weigh and balance the diverse considerations that guide their decisions. The authors define and discuss three commonly used heuristics (satisficing, lexicographic preferences, and elimination by aspects), and show how these might lead audiences to support different types of hybrid entities.

Cultural entrepreneurship research is on the rise, with a growing community of scholars paying attention to the cultural processes and outcomes involved in entrepreneurship, strategic innovation, and change. To further develop this community, in this volume we assemble a collection of contributions showcasing two promising advances. In Section A, a first set of papers puts culture in cultural entrepreneurship by highlighting a multi-faceted view of culture and exposing new ways by which culture shapes and is shaped by entrepreneurial action. In Section B, another set of papers takes cultural entrepreneurship beyond entrepreneurship – that is, the prevalent yet narrow focus on new venture legitimation and resource acquisition – by broadening the scope of what cultural entrepreneurship entails and explains. In this introductory paper, we discuss how contributions within each section move the conversation forward and identify cross-cutting themes that can be found in both sections of this volume.

Introduces the fourth and final chapter of the ISEF 1999 Proceedings by stating electric and magnetic fields are influenced, in a reciprocal way, by thermal and mechanical fields. Looks at the coupling of fields in a device or a system as a prescribed effect. Points out that there are 12 contributions included ‐ covering magnetic levitation or induction heating, superconducting devices and possible effects to the human body due to electric impressed fields.

Introduces papers from this area of expertise from the ISEF 1999 Proceedings. States the goal herein is one of identifying devices or systems able to provide prescribed performance. Notes that 18 papers from the Symposium are grouped in the area of automated optimal design. Describes the main challenges that condition computational electromagnetism’s future development. Concludes by itemizing the range of applications from small activators to optimization of induction heating systems in this third chapter.

The objective of this study is to make a conceptual analysis of Community-based tourism (CBT). CBT, one of the tourism activities that internalised sustainability, has several common threads with nature-based tourism activities. However, these similarities/common elements must be more understandable between those relevant tourism activities. From this fact, this research aims to assign a theoretical framework for CBT and reveal the differences between CBT activities from other tourism types.

Tourism, unavoidably, is one of the critical sectors that require sustainable usage of resources. Because visiting natural, historical and cultural values/attractions constitute the primary reason for tourists' travel motivations, making those values/attractions sustainable for the future is essential. However, the sustainable usage of those values/attractions can be enabled with protection and maintenance balance. On the other hand, this philosophy will only come true if obtaining the locals support it. Therefore, CBT propounds that local people should make the most of tourism at all levels, especially the economic contribution. Within this context, the importance and necessity of these issues will be manifested in this chapter, presenting a conceptual framework. Additionally, this chapter will support other researchers in constituting the conceptual framework and will guide policymakers and other stakeholders to understand the importance of CBT.