Search results

A major potential application of the Peltier effect is the thermostating of electronic equipment, modules and individual components. Limitations of size and weight rule out mechanical refrigeration for small cooling units. However, Peltier cooling devices are size‐independent in their efficiency and in miniaturized form may be. incorporated into heat‐generating circuit components. Peltier units can remove heat directly from the source rather than from an external surface, and in addition, these thermodynamically reversible devices permit both heating and cooling. Electronics may thus be thermostated at or below ambient temperature to provide increased reliability and stability. The authors discuss specific applications of Peltier thermostating under development.

This paper investigates the location determinants of foreign investors and how the location decision‐making impacts on their knowledge transfer strategies. Survey data were collected in Yunnan, a southwest province of China. By examining two different sets of location factors at both the national and provincial levels, the research found that location factors at the provincial level, rather than at the national level, directly influenced foreign investors’ knowledge transfer strategies. The research also found that the support of Yunnan’s local government compensated for the underdeveloped endowment conditions of the province, significantly increasing knowledge transfer of foreign investors. The research suggests that foreign investors need to make appropriate location selection to efficiently exploit their ownership advantages. A well‐structured policy regime is required of host countries in order to encourage knowledge transfer by foreign investors.

This paper describes the design of a scalable bio‐mimetic framework that addresses several key issues of autonomous agents in the functional management domain of complex Ubiquitous Service‐Oriented Networks.We propose an autonomous network service management platform ‐ SwarmingNet, which is motivated by observations of the swarm intelligence in biological systems (e.g., Termite, Ant/Bees colonies, or Locusts ). In this SwarmingNet architecture, the required network service processes are implemented by a group of highly diverse and autonomic objects. These objects are called TeleService Solons (TSSs) as elements of TeleService Holons (TSHs), analoguous to individual insects as members of the whole colony. A single TSS is only able to pursue simple behaviors and interactions with local neighbors, on the contrary, a group of TSSs have the capabilities of fulfilling the complex tasks relating to service discovery and service activation.We simulate a service configuration process for a Multimedia Messaging Service, and a performance comparison between the bio‐agents and normal agents is analyzed. Finally, we conclude that through bio‐swarming intelligence behaviors, this infrastructure develops the enhanced self‐X capabilities which give IP networks advantages of instinctive compatibility, efficiency and scalability.

The purpose of the present investigation was to determine to what extent authors of scientific articles cite their previous publications and what are the principal distinguishing features of this particular type of citation. We have analysed the bibliographies of a group of articles from the areas of plant physiology and neurobiology, and have examined the relationship of the self‐citations to some characteristics of the articles in which they occurred. We found self‐citations to be more recent and to be cited more frequently in the text of the citing articles than citations of other authors. The extent of self‐citing did not appear to be related to the number of co‐authors and to the bibliography size of the citing articles, or to their authors' productivity.

This study aims to focus on the direct, mediating and moderating effects of corporate governance (CG) and capital structure (CS) in their relationships with firm performance (FP).

Multivariate panel data regression techniques are employed to analyse the direct, mediating and moderating impacts of the CG and CS on FP of 38 listed Mauritian non-financial companies from 2009 to 2019.

This study shows that CG has a positive but insignificant influence on return on equity (ROE) and Tobin's Q. CS has a significant negative impact on both ROE and Tobin's Q and supports the pecking order theory (POT). The interaction of CG and CS influences FP, but the strength of the moderating effects depends on the performance measure being used. Both CS and CG have no mediation effects in their relationship with FP measured by ROE and Tobin's Q.

The results indicate that the combination of the high leverage ratio and good governance practices of companies can improve FP and increases investor confidence resulting in a positive reaction on their market share prices.

This paper contributes to the CG and CS literature by introducing a more precise and comprehensive research approach and is the first to attempt to extend CG and CS in their associations with FP by incorporating both CG and CS as profound moderator and mediator variables simultaneously in the same study.

Compared with traditional methods relying on manual teaching or system modeling, data-driven learning methods, such as deep reinforcement learning and imitation learning, show more promising potential to cope with the challenges brought by increasingly complex tasks and environments, which have become the hot research topic in the field of robot skill learning. However, the contradiction between the difficulty of collecting robot–environment interaction data and the low data efficiency causes all these methods to face a serious data dilemma, which has become one of the key issues restricting their development. Therefore, this paper aims to comprehensively sort out and analyze the cause and solutions for the data dilemma in robot skill learning.

First, this review analyzes the causes of the data dilemma based on the classification and comparison of data-driven methods for robot skill learning; Then, the existing methods used to solve the data dilemma are introduced in detail. Finally, this review discusses the remaining open challenges and promising research topics for solving the data dilemma in the future.

This review shows that simulation–reality combination, state representation learning and knowledge sharing are crucial for overcoming the data dilemma of robot skill learning.

To the best of the authors’ knowledge, there are no surveys that systematically and comprehensively sort out and analyze the data dilemma in robot skill learning in the existing literature. It is hoped that this review can be helpful to better address the data dilemma in robot skill learning in the future.

This paper aims to contribute to the existing capital structure and board structure literature by examining the relationship among corporate governance, ownership structure and capital structure.

The paper uses a panel data of 595 firm-year observations from a unique and comprehensive data set of 119 Chinese real estate listed firms from 2014 to 2018. It uses fixed effect and random effect regression analysis techniques to examine the hypotheses.

The results show that the board size, ownership concentration and firm size have positive influences on capital structure. State ownership and firm profitability have inverse influences on capital structure.

The findings suggest that better-governed companies in the real estate sector tend to have better capital structure. These findings highlight the unique Chinese context and also offer regulators a strong incentive to pursue corporate governance reforms formally and jointly with the ownership structure. Finally, the results suggest investors the chance to shape detailed expectations about capital structure behavior in China. Future research could investigate capital structure using different arrangement, conducting face-to-face meetings with the firm’s directors and shareholders.

The findings offer support to corporate managers and investors in forming or/and expecting an optimal capital structure and to policymakers and regulators for ratifying laws and developing institutional support to improve the effectiveness of corporate governance mechanisms.

This paper extends, as well as contributes to the current capital structure and corporate governance literature, by proposing new evidence on the effect of board structure and ownership structure on capital structure. The results will help policymakers in different countries in estimating the sufficiency of the available corporate governance reforms to improve capital structure management.

As national legislation, federated national services, institutional policies and institutional research service arrangements may differ, data stewardship programs may be organized differently in higher education institutions across the world. This work seeks to elaborate the picture of different data stewardship programs running in different institutional and national research environments.

Utilizing a case study design, this study described three distinct data stewardship programs from Purdue University (United States), Delft Technical University (Netherlands) and Aalto University (Finland). In addition, this work investigated the institutional and national research environments of the programs. The focus was on initiatives led by academic libraries or similar services.

This work demonstrates that data stewardship programs may be organized differently within varying national and institutional contexts. The data stewardship programs varied in terms of roles, organization and funding structures. Furthermore, policies and legislation, organizational structures and national infrastructures differed.

The data stewardship programs and their contexts develop, and the descriptions presented in this work should be considered as snapshots.

This work broadens the current literature on data stewardship by not only providing detailed descriptions of three distinct data stewardship programs but also highlighting how research environments may affect their organization. We present a summary of key factors in the organization of data stewardship programs.

A number of studies on Kirkpatrick’s four-level training evaluation model have been published, since its inception in 1959, either investigating it or applying it to evaluate the training process. The purpose of this bibliometric analysis is to reconsider the model, its utility and its effectiveness in meeting the need to evaluate training activities and to explain why the model is still worth using even though other later models are available.

This study adopts a “5Ws+1H” model (why, when, who, where, what and how); however, “when” and “how” are merged in the methodology. A total of 416 articles related to Kirkpatrick’s model published between 1959 and July 2020 were retrieved using Scopus.

The Kirkpatrick model continues to be useful, appropriate and applicable in a variety of contexts. It is adaptable to many training environments and achieves high performance in evaluating training. The overview of publications on the Kirkpatrick model shows that research using the model is an active and growing area. The model is used primarily in the evaluation of medical training, followed by computer science, business and social sciences.

This paper presents a comprehensive bibliometric analysis to reconsider the model, its utility, its effectiveness in meeting the need to evaluate training activities, its importance in the field measured by the growth in studies on the model and its applications in various settings and contexts.

The purpose of this paper is to explore the evaluation of cabin crew food safety training using the Kirkpatrick model.

Using a snowballing technique, 26 cabin crew, managers, supervisors and trainers participated in in-depth, semi-structured interviews. Summative content analysis was used to evaluate the data.

In total, 26 respondents from 20 international airlines participated in the study. All respondents agreed that evaluating cabin crew food safety/hygiene issues is important in relation to in-flight food handling; for example, “Training evaluation helps in the improvement of the future training”; “We have an end of course feedback form, either done electronically or on paper and that looks at how the delegates felt the training went, if they came away learning something new, if the environment for learning was right, all sorts of things; the questionnaire is quite comprehensive”; and “Every trainee is given a feedback form to complete”. However, significant failures in food safety training and its evaluation were identified.

The evaluation of cabin crew food safety training shows that it is ineffective in some aspects, including learning achieved and behavioural change, and these can directly impact on the implementation of food safety practices. Evaluation failures may be due to the lack of available time in relation to other cabin crew roles. Further research may consider using a larger sample size, evaluating training effectiveness using social cognition models and assessments of airline and cabin crew food safety culture.

This is the first study that evaluates cabin crew food safety training using the Kirkpatrick model. The findings provide an understanding of the current evaluation of cabin crew food safety training and can be used by airlines for improving and developing effective future food safety training programmes. This, in turn, may reduce the risk of passenger and crew foodborne disease.