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The purpose of this paper is the application of the computational fluid dynamics model simulating the blood flow within the aorta of an eight-year-old patient with Coarctation of Aorta.

The numerical model, based on commercial code ANSYS Fluent, was built using the multifluid Euler–Euler approach with the interaction between the phases described by the kinetic theory of granular flow (KTGF).

A model of the blood flow in the arches of the main aorta branches has been presented. The model was built using the multifluid Euler–Euler approach with the interaction between the phases described by the KTGF. The flow and pressure patterns, as well as the volumetric concentration of the blood components, were calculated. The lumped parameter model was implemented to couple the interaction of the computational domain with the remaining portion of the vascular bed.

The multiphase model based on the Euler–Euler approach describing blood flow in the branched large vessel with a three-element Windkessel model in the coarcted geometry was not previously described in the literature.

Paper presents an effective iterative method for 3D magnetic field calculation taking the nonlinearity and anisotropy of the material into account. Algorithm for simulation of coupled 3D field‐circuit transient problems has been also elaborated. Some steady‐state and transient characteristics of the E‐core electromagnet and shell‐type transformer have been calculated.

The end‐turn leakage inductances of the armature winding of the permanent magnet motor have been calculated. In order to describe the magnetic field distribution the edge element method using vector magnetic potential has been applied. First, the formulae that describe the total self‐inductance and total mutual conductance for phase windings are presented. Three‐dimensional and two‐dimensional formulations are considered. The end‐turn leakage inductances have been obtained by comparing the results of these formulations. The symmetrical components transformation has been applied, and the self inductances and mutual inductances have been transformed into the zero‐sequence and positive‐sequence inductances. The calculations have been performed for different dimensions of the coil‐end region. The influence of the position of the boundary surfaces on the results has been investigated.

This paper aims to investigate the wine consumption among young people belonging to the so-called millennial generation

This study uses a questionnaire and a choice experiment (CE) with a multinomial logit model (MNL), implementing a random parameter logit model (RPL), to investigate the attitudes of millennials towards wine consumption, their purchasing behaviours and their willingness to pay for attributes of the products; in particular regarding the follwing: region of origin, “winescape”, certification, carbon footprint claim and price.

Millennials appear to drink wine less frequently; they consume it more often in social on-premise settings, having a slightly higher willingness to pay and preferring carbon-neutral brands when choosing wine.

The limitation of this research was the analysis of a simulated situation where consumers declared their intention to purchase and not the effective purchase behaviour in the market.Further research should investigate wider millennials groups, also using the new media communication tools that characterise the communication behaviour of Generation Y. In this way, it would be possible to interview a millennial group at the national or international level.

The research identifies some characteristics of millennials’ habits that can take into account the strategies of wine companies in order to develop a constructive relationship with Generation Y in Italy.

This research contributes to knowledge regarding the wine consumption habits of Italian millennials.

This paper applies discrete choice models to consumption situations in order to analyse millennials' preference and their willingness to pay for some innovative attributes of wine, in particular the carbon footprint.

The purpose of the study is to examine the attitudes of millennial wine consumers and determine if positive affect in tasting room situations leads to higher levels of brand equity for the winery.

A survey was developed to evaluate winery tasting room experiences based on standardized brand measurement scales. In total 80 millennials visited tasting rooms and then completed the survey to evaluate their experience.

The results of this research empirically support the anecdotal evidence that, through positive emotions associated with the tasting room experiences, wineries can cultivate relationships with millennial customers that may lead to long‐term, profitable relationships through continued patronage and brand loyalty.

Practical application of this study suggests that carefully orchestrating a tasting room experience to create a positive experience for the millennial customer appears to be a critical component of post‐purchase attitudes and building brand equity. In addition, customer commitment, product quality, service quality, and fair pricing are also significant predictors of brand equity.

The case study in this chapter is the Joint Community-based Project (code: JCP), a compulsory macro undergraduate course that is offered by the Faculty of Engineering, Built Environment and Information Technology at the University of Pretoria in South Africa. The course was introduced to teach students the soft skills they will need as graduates and make them aware of their social responsibility. More than 1,600 students register for the course annually. Generally, students work in 450 groups each year to help more than 250 community partners. The course, which has received recognition at institutional, national and international levels, requires students to work in a community for at least 40 hours, after which they reflect on their learning experience through a report, presentation and YouTube video. The identification and selection process of community partners is based on contextual criteria, while new cohorts of students can recommend new community partners each year. Community partners’ tasks include project coordination and student assessment based on the course’s assessment criteria. This chapter discusses how community partners are identified, coordinated and sustained within a macro community service course. It also provides a conceptual framework to highlight community partners’ roles and their impact on the students’ social development based on qualitative case study research.

This study aims to present a parametric model of a novel electrical machine, based on a slotless air gap winding, allowing for fast and precise magnetic circuit calculations.

Approximations of Fourier coefficients through an exponential function deliver the required nonlinear air gap flux density and inductance. Accordingly, major machine characteristics, such as back-EMF and torque, can be calculated analytically with high speed and precision. A physical model of the electrical machine with air gap windings is given. It is based on a finite element analysis of the air gap magnetic flux density and inductance. The air gap height and the permanent magnetic height are considered as magnetic circuit parameters.

In total, 11 Fourier coefficient matrixes with 65 sampling points each were generated. From each, matrix a two-dimensional surface function was approximated by using exponentials. Optimal parameters were calculated by the least-squares method. Comparison with the finite element model demonstrates a very low error of the analytical approximation for all Fourier coefficients considered. Finally, the dynamics of an electrical machine, modeled using the preceding magnetic flux density approximation, are analyzed in MATLAB Simulink. Required approximations of the phase self-inductance and mutual inductance were given. Accordingly, the effects of the two magnetic circuit parameters on the dynamics of electrical machine current as well as the electrical machine torque are explained.

The presented model offers high accuracy comparable to FE-models, needing only very limited computational complexity.

A deeper understanding of the key drivers of consumer wine perception is a major challenge in the domain of wine marketing. The purpose of this paper is to examine the various dimensions of customer-perceived value that lead the customers – in general and divided into different age groups – to choose and consume a certain wine.

In the exploratory study context of examining value-related consumer attitudes and behavioural effects, the drivers and outcomes of wine consumption based on a cross-generation sample, PLS path modelling was considered for the empirical tests of our hypotheses.

Though there exist differences between Generation X and Generation Y consumers, the empirical results are supportive of the hypothesized positive relations between financial, functional, individual and social perceptions that influence the desire for and the consumption of wine.

For future research, the findings presented in the paper support the importance of enlarging the size of the sample and collecting data in different countries to compare the results on an international level.

Successful wine marketing strategies should focus on the customer's subjective expectations and individual value perceptions by addressing the specific value aspects that are highly relevant for consumer loyalty.

The study results are valuable for researchers, managers and marketers because they address the question of how to measure and forecast the perceived value with the greatest influence on consumers’ wine choices.

This paper aims to propose a personality-based approach to measure Millennial consumers’ wine evaluations. Past personality-based measures (brand personality, country personality and product personality) each presents their own issues when it comes to measuring wine perceptions, especially those of neophyte wine consumers. This paper proposes a new, holistic and tailored measure to gauge the personality dimensions Millennials perceive in wine.

Multiple studies were conducted in France. Items from former personality scales were combined and condensed. An exploratory factor analysis (n = 318) followed by a confirmatory factor analysis (n = 236) across wines from different regions were conducted. Predictive validity tests relating the dimensions of wine personality to key consumer outcomes were also conducted. Finally, face validity tests with real wines were conducted (n = 190).

The results suggest two dimensions of wine personality for Millennial consumers: a social and a philosophical dimension. The nine-trait structure is stable across origins and each dimension can be related to quality and value perceptions, attitudes and purchase intent. The findings suggest a new way for managers to gauge the way their wine offering is received by Millennial wine consumers.

The initial personality structure, uncovered across the multiple studies, suggests a parsimonious way to understand how an important wine segment, Millennials, perceives wines. The measure includes brand, product and origin perceptions and thus proposes a holistic way of understanding young consumers’ perception of wine personality.