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The purpose of this paper is to introduce the RWTH's total artificial heart, ReinHeart, focusing on the design of the unique drive system.

The force characteristics of the drive have been simulated in a finite element (FE) approach. Additionally the coppler losses within the motor coils have been predicted based on the FE‐simulation. Both results are compared to laboratory measurements of a prototype to validate the design.

The presented results show a good correlation between simulation and measurement and proof the applicability of the new design drive system.

The used hydraulic models of the cardiovasular system used as a load for the device are not fully validated with data from living organisms. Therefore, further in vivo trials are needed.

The high force density of the drive allows its integration into a fully implantable, total artificial heart, in order to significantly improve durability. This hopefully will extend the indication for artificial hearts as alternatives to transplantation.

Total artificial hearts (TAHs) are required for the treatment of cardiovascular diseases. In order to replace the native heart a TAH must provide a sufficient perfusion of the human body, prevent blood damage and meet the implantation constraints. Until today there is no TAH on the market which meets all constraints. So the purpose of this paper is to design a drive in such a way that the operated TAH meets all predefined constraints.

The drive is designed in terms of weight and electric losses. In setting up a cost function containing those constraints, the drive design can be included in a optimization process. When reaching the global minimum of the cost function the optimum drive design is found. In this paper the optimization methods manual parameter variation and differential evolution are applied.

At the end of the optimization process the drive's weight amounts to 460 g and its mean losses sum up to 10 W. This design meets all predefined constraints. Further it is proposed to start the optimization process with a parameter variation to reduce the amount of optimization parameters for the time consuming differential evolution algorithm.

This TAH has the potential to provide a therapy for all patients suffering from cardiovascular diseases as it is independent of donor organs.

The optimization-based design process yields an optimum drive for a TAH in terms of weight and electrical losses. In this way a TAH is developed which meets all implantation constraints and provides sufficient perfusion of the human body at the same time.

The purpose of this paper is to describe a design process for a drive of a ventricular assist device (VAD) under the consideration of constraints given by the application. In this case, these constraints are the possibility to implant the VAD system, providing a sufficient perfusion of the human body and cutting down development costs.

In the described approach an optimization algorithm is integrated in the initial stage of the design process for a drive system.

During simulations the optimum drive design under the implantation constraints of the given VAD system is found. The key constraints of this design, which are torque, axial force and losses, are validated during initial test bench measurements of a drive prototype.

The described design process enables an optimum drive design from the beginning of a VAD development. This reduces the time to initial and chronic in vivo test, which are required to be approved for the market later. Therefore, this approach cuts development and device costs. Additionally, this design process can be transferred for the design of other drive concepts and applications.

The developed and proved method in this paper enables a competitive and reliable drive design.

This study aims to evaluate how corporate governance focused on meeting the legal requirements applied in poultry slaughterhouses contributes to the advancement of the Sustainable Development Goals (SDGs) within the environmental pillar and identify vulnerabilities in this governance framework.

This research was qualitative and was structured with the following steps: literature review, selection of companies and documentary research on licenses applied to these companies.

The assessment demonstrates that the governance strategy based on legal aspects contributes to progress in indicators related to SDGs such as clean water, climate action, life below water and life on land. However, it falls short when addressing SDG 7 on affordable and clean energy. Another vulnerability of this governance model is that legislation establishes metrics and indicators individually for each link in the poultry industry chain.

Assessment of the corporate governance of poultry slaughterhouses, focusing on legality and analyzing vulnerabilities in the legal aspects of the poultry industry concerning the SDGs that encompass the environmental pillar.

The results provide valuable information for policymakers, regulators and industry stakeholders in the segment, suggesting the need to align legislation with SDGs or adopt incentive policies to encourage the spontaneous advancement of SDGs in the poultry industry.

Considering the need for progress toward a more sustainable world and the trend of organizations focusing their efforts on complying with local legislation, this study aims to contribute to understanding how the legal requirements applied in practice are prepared to support the advancement of the SDGs.

This paper seeks to present a proposal to change the form in which knowledge is produced in Colombia.

Discusses the key issue – to transform the way in which the production of knowledge is currently taking place at the university level.

To be able to increase the production of knowledge in this country there is a need to create bonds among industrial, governmental, and academic institutions. It is believed that this can be done by the development of a system capable of continuously forming researchers at a doctoral level.

The paper puts forward a proposal for the construction of such a system based on the developments of organizational cybernetics. The proposal is based on the concept of autonomy which is crucial to solve this problem.

This paper aims to examine the exogenous effects of experiential attitude toward green (EAG), instrumental attitude toward green (IAG), injunctive norms on green (ING), descriptive norms about green (DNG), green perceived control (GPC) and green self-efficacy (GSE) on green purchase intention (GPI). Moreover, this paper also investigates the causal factors of green purchase behavior (GPB) considering green knowledge (GK), the salience of green behavior (SGB), environmental constraints (ECPG) and green habit (GH).

The research model was adopted to measure the green behavior of Bangladeshi consumers using an integrated behavior model (IBM). The data were randomly collected from 372 respondents and partial least squares structural equation modeling (PLS-SEM) approach was used to test the hypotheses.

PLS results imply that all independent variables (EAG; IAG; ING; DNG; GPC and GSE) impact GPI; and SGB, GH and GPI influence GPB. On the other hand, GK and ECPG have no significant effect on GPB.

There may present a gap in the outcomes of the study to signify the generalizability because the survey was conducted in some cities of Bangladesh which may not represent the country as a whole.

This study anticipates the cause-effect relationship between GPI, GPB and their determinants. The results of the study can help marketers understand green consumer behavior and design appropriate strategies and tactics for new marketing challenges.

This research investigates green purchase behavior in a developing country. It empirically confirms the validity of IBM in assessing green behavior, especially for Bangladesh, a booming economy and suitable for investment. Although ample research explored green purchase behavior, green habit and saliency have not been considered in measuring green purchase behavior.

Recent years have witnessed a rise in interest in neuromarketing from academia and industry, as it offers practical tools for determining consumers' subconscious reactions to marketing stimuli. Despite this, the current state of neuromarketing research is not well supported by empirical data. To offer a thorough overview of the studies conducted on this discipline in the past few years, a bibliometric analysis of neuromarketing is carried out, taking into account its techniques, key areas and publication patterns trends from several viewpoints.

This study searched 463 documents for the web of science databases published during the previous sixteen years and visualized them. The graphical display of data was created using the VOS Viewer software.

Electroencephalogram (EEG) appeared as a predominantly tool used in neuromarketing research. EEG is either used alone or together with Human Eye-Tracking (HET). “Emotions” was identified in the study as a crucial area of neuromarketing, among other pertinent concepts. The study's results also showed that authors from the United States produced the most articles on neuromarketing, followed by those from the United Kingdom and Spain. The publishing trend, sources and major contributors in neuromarketing are identified using Web of Science data from 2006 to 2021. Overall, the research provides insight into neuromarketing's past, present and future as well as the most widely utilized analytical techniques.

The study's conclusions will be of interest to researchers in understanding the journals that publish neuromarketing research, the themes that contributors and writers have identified, and the countries where research is carried out. This is the first comprehensive study, to the authors' knowledge, that provides a general summary of the key trends in neuromarketing research throughout its history. To the authors' knowledge, this is the first thorough study that offers a broad overview of the most important developments in neuromarketing research from 2006 to 2021.