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Everyday conversation has not yet been assigned its full role in public discussion of citizen’s issues, despite the growing number of studies about it. Casual conversations are not usually regarded as a particularly privileged place for political discussions mainly because of its apparent lack of organization following the principles and rules of the deliberative tradition in Political Studies. However, due to its closeness, informality, and personal proximity, it is particularly adequate to rise political aspects of everyday lives that otherwise would not be publicly disclosed. But how to grasp the spontaneity of everyday conversation? This chapter argues that focus groups, as a research method, are fit to observe and understand real-time ordinary conversation on political issues. In what follows, the argument goes threefold: (1) it contrasts “conversation” with “deliberation” from a micro-point of view; (2) all conversation, as a discourse embroiled in power relations, is political in a broad sense (3) as it brings forward personal views and experiences, casual conversations defies the borders between public and private issues.

This paper aims to model a three-dimensional twisted geometry of a twisted pair studied in an electrostatic approximation using only two-dimensional (2D) finite elements.

The proposed method is based on the reformulation of the weak formulation of the electrostatics problem to deal with twisted geometries only in 2D.

The method is based on a change of coordinates and enables a faster computational time as well as a high accuracy.

The effectiveness of the adopted approach is demonstrated by studying different configurations related to the IEC 60851-5 standard defined for the measurement of the electrical properties of the insulation of the winding wires used in electrical machines.

The authors propose a semiparametric approach for testing independence between two infinite-order cointegrated vector autoregressive series (IVAR(∞)). The procedures considered can be viewed as extensions of classical methods proposed by Haugh (1976, JASA) and Hong (1996b, Biometrika) for testing independence between stationary univariate time series. The tests are based on the residuals of long autoregressions, hence allowing for computational simplicity, weak assumptions on the form of the underlying process, and a direct interpretation of the results in terms of innovations (or shocks). The test statistics are standardized versions of the sum of weighted squares of residual cross-correlation matrices. The weights depend on a kernel function and a truncation parameter. Multivariate portmanteau statistics can be viewed as a special case of our procedure based on the truncated uniform kernel. The asymptotic distributions of the test statistics under the null hypothesis are derived, and consistency is established against fixed alternatives of serial cross-correlation of unknown form. A simulation study is presented which indicates that the proposed tests have good size and power properties in finite samples.

The purpose of this paper is to exploit the optimal performances of each magnetic material in terms of low iron losses and high saturation flux density to improve the efficiency and the power density of the selected motor.

This paper presents a study to improve the power density and efficiency of e-motors for electric traction applications with high operating speed. The studied machine is a yokeless-stator axial flux permanent magnet synchronous motor with a dual rotor. The methodology consists in using different magnetic materials for an optimal design of the stator and rotor magnetic circuits to improve the motor performance. The candidate magnetic materials, adapted to the constraints of e-mobility, are made of thin laminations of Si-Fe nonoriented grain electrical steel, Si-Fe grain-oriented electrical steel (GOES) and iron-cobalt Permendur electrical steel (Co-Fe).

The mixed GOES-Co-Fe structure allows to reach 10 kW/kg in rated power density and a high efficiency in city driving conditions. This structure allows to make the powertrain less energy consuming in the battery electric vehicles and to reduce CO₂ emissions in hybrid electric vehicles.

The originality of this study lies in the improvement of both power density and efficiency of the electric motor in automotive application by using different magnetic materials through a multiobjective optimization.

Being a parent supposes an important number of language interactions with children and other social actors, in order to realize “parental functions”, such as everyday communication with children, transmission of knowledge, expression of emotions, communication with school and others. As for parents with migrant backgrounds, some realize their parenting functions while using only the language of the country of origin, whilst others use only the language of the host country, and some parents use both of these languages. The aim of this paper is to discuss which of these language practices enables parents to more fully realize their parental functions. The paper is based on a thematic analysis of non-directive narrative interviews of parents and children with migrant backgrounds in Strasbourg (France) and Frankfurt-am-Main (Germany). We come to the conclusion that “fuller” or “more partial” realization of parenting functions depends on parents’ subjective perceptions. For instance, in similar language use situations, some parents believed their language practices had allowed them to realize their parenting functions “more fully” while others considered that they had only been able to “partially” do so. This paper opens up a new avenue of reflexion while analysing the concept of “partial parenting” regarding the use of languages by migrant parents. We hope that it will be be of interest to migrant and also non-migrant parents and their children, as well as to researchers and professionals working with immigrant families and that it will contribute to raising awareness about the role of languages in parenting.

This study presents a new method for the detection of faults in large transformer cores. It is based on the analysis of leakage flux components in the vicinity of the sheet stack. The purpose of this study is to provide a nondestructive analysis tool for transformer cores during the assembly process to detect accidental defects such as inter-laminar short circuits.

The different components of the leakage flux allow localization of the fault in the stack and also permit to assess its severity. Out of the many kinds of defects which may appear in a transformer core, this method only detects those which actually cause an increase in the transformer’s global iron losses, which are thus the most detrimental.

The proposed method allows a more efficient control of the quality of the cores during their manufacturing process. Until now, it was only possible to know the quality of the core when the transformer was fully assembled.

The accuracy of the method depends on the size of the defect and may request many measurements to give usable information.

Controlling iron losses in a core during its construction avoids heavy dismantling operations, both financially and temporally.

This method can help transformer manufacturers optimize their building process. In addition, the method remains effective regardless of the size of the core considered.

Given the complexity of societal, technological, and economic challenges encountered by schools and teachers, one may wonder whether and how teachers can still optimally motivate their students. To adopt a motivating role in today’s ever-changing, even stormy, educational landscape, teachers need more than a checklist of motivating practices. They also need a fundamental theoretical perspective that can serve as a general source of inspiration for their everyday classroom practices across various situations and in interaction with different students. Herein, we argue that self-determination theory represents such a valuable perspective. In Part I, we discuss the satisfaction of learners’ psychological needs for autonomy, competence, and relatedness as a source of student motivation, engagement, and resilience. We also present a recently developed circular model involving a broad variety of motivating (i.e., need-supportive) and demotivating (i.e., need-thwarting) teaching practices appealing to these three needs. In Part II, we discuss several implications of this circular model, thereby discussing the diverse pathways that lead to student need satisfaction, motivation, and engagement as well as highlighting teachers’ capacity for calibration to deal with uncertainty and change. We conclude that school principals and teachers do well to invest in both students’ and teachers’ psychological need experiences, such that they become skilled in flexibly adjusting themselves to diversity, uncertainty, and change.

A vast and comprehensive body of research highlights the importance of motivation for academic outcomes. More recently, researchers and educators are increasingly becoming aware of the importance of motivation for social and emotional outcomes. In the current chapter, it is argued that motivation is a core component of social and emotional competence because such competence must be actively and willfully applied to have a positive impact on the individual and those around them. Motivation is essential for this application. In this chapter, three well-known motivation constructs are presented as playing a role in promoting positive social and emotional outcomes: social goals, growth mindsets, and autonomous motivation. Then, attention is narrowed down to an in-depth consideration of autonomous motivation and its role in a recently developed conceptual model that articulates the instructional, motivational, and behavioral factors and processes implicated in social and emotional development (Collie, 2020). The conceptual model highlights that instructional practices promote students' perceptions (of autonomy, competence, and relatedness) and, in turn, their autonomous motivation and enactment of socially and emotionally competent behaviors. The chapter concludes with implications for practice and research.

In 2014, the Colombian Government commissioned a unique national survey on illegal liquor. Interviewers purchased bottles of liquor from interviewees and tested them for authenticity in a laboratory. Two factors predict whether liquor is contraband (smuggled): (1) the absence of a receipt and (2) the presence of a discount offered by the seller. Neither factor predicts whether a bottle is adulterated. The results back a story in which sellers are complicit with a contraband economy, but whether buyers are complicit remains unclear. However, buyers are more likely to receive adulterated liquor when specifically asking for a discount.

The primary purpose of this correlational study was to explain the relationship between discipline specific critical thinking skills and leadership training and experiences of selected FFA youth leaders. Researcher-developed measures of critical thinking skills and leadership were used to discover low, but positive relationships between critical thinking skills and each leadership variable of leadership training, leadership experience, and total leadership score. The relationship between leadership training and Evaluation and Total Critical Thinking Skill was significant. Similarly, the relationship between leadership experiences and Analysis and Total Critical Thinking Skill was significant. Finally, the relationship between combined leadership score and Analysis, Evaluation, and Total Critical Thinking Skill was also significant. Recommendations include more student exposure to formal teaching and training in leadership, more research to substantiate the connection between leadership and critical thinking, and more encouragement for students to be more active in non-formal activities.