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Magneto-quasi-static fields emanated by inductive charging systems can be potentially harmful to the human body. Recent projects, such as TALAKO and MILAS, use the technique of wireless power transfer (WPT) to charge batteries of electrically powered vehicles. To ensure the safety of passengers, the exposing magnetic flux density needs to be measured in situ and compared to reference limit values. However, in the design phase of these systems, numerical simulations of the emanated magnetic flux density are inevitable. This study aims to present a tool along with a workflow, based on the Scaled-Frequency Finite Difference Time-Domain and Co-Simulation Scalar Potential Finite Difference schemes, to determine body-internal magnetic flux densities, electric field strengths and induced voltages into cardiac pacemakers. The simulations should be time efficient, with lower computational costs and minimal human workload.

The numerical assessment of the human exposure to magneto-quasi-static fields is computationally expensive, especially when considering high-resolution discretization models of vehicles and WPT systems. Incorporating human body models into the simulation further enhances the number of mesh cells by multiple millions. Hence, the number of simulations including all components and human models needs to be limited while efficient numerical schemes need to be applied.

This work presents and compares four exposure scenarios using the presented numerical methods. By efficiently combining numerical methods, the simulation time can be reduced by a factor of 3.5 and the required storage space by almost a factor of 4.

This work presents and discusses an efficient way to determine the exposure of human beings in the vicinity of wireless power transfer systems that saves computer simulation resources and human workload.

In the literature, while designing broadband matching networks, transducer power gain (TPG) is used to measure the transferred power. Generally, in TPG expressions, load and back-end impedances of the matching network are used. This study aims to derive a new quality factor-based TPG expression.

In deriving the new expression, narrowband L type-matching network design approach is used and the new expression in terms of back-end quality factor, load quality factor and output port quality factor is obtained. Then, a broadband-matching network design approach using the derived TPG expression is proposed.

Two broadband double-matching networks are designed by using the proposed design approach using the derived TPG expression. Performances of the designed-matching networks are compared with the performances of the matching networks designed by means of simplified real frequency technique which is a well-known technique in the literature, and it is shown that they are nearly the same.

In broadband-matching problems, generally an impedance-based TPG expression is used, and it must be satisfied by the designed broadband-matching networks. But, in the literature, there is no quality factor-based TPG expression that can be used in broadband-matching problems. So, this gap in the literature has been filled by this paper.

This study aims to identify the various dimensions of workplace spirituality (WPS) and determine whether these dimensions act as predictors of innovative work behaviour (IWB) among bank employees. This study also aims at studying the moderating role played by sense of God (SOG) between WPS and IWB.

The methodology involved both qualitative and quantitative approaches. This study was carried out in two phases. Item generation, questionnaire development and exploratory factor analysis (EFA) were conducted in phase 1. Confirmatory factor analysis (CFA) was conducted in phase 2. Seven WPS dimensions originated through EFA, which got validated through CFA later. Structural equation modelling was used for hypotheses testing. To explore the proposed relationships, cross-sectional survey was done on a sample of bank employees from public, private and foreign banks.

The findings reveal that WPS is a seven-factor construct and affects the IWB of bank employees. The results indicated that four dimensions of WPS significantly increase IWB, and that SOG moderates the relationship between WPS and IWB.

With increasing globalization, there is a growing concern as to whether Indian employers would be able to meet employees’ spiritual needs. Indians tend to have high inclination towards God; through their religious associations, they try to develop a sense of spiritualism. Awareness about the effect of SOG and also the dimensions of WPS on IWB will help organizations in designing effective interventions for making employees more innovative.

The authors believe that the empirical studies testing the consequences of WPS on IWB in the banking industry are limited; also, SOG’s role as a moderator remains unexplored; thus, this study is an attempt to fill the gaps.

This chapter examines the locker room practices of Brazil's first transexual (their term) men's amateur soccer team, the Meninos Bons de Bola (MBB), or Soccer Star Boys. Drawing on a photo shoot with the MBB inside the locker room, and on conversations with photographer Isabel Abreu as well as members of the team, this chapter explores the debates surrounding queer and trans body politics amidst the rise of the right in Brazil and the Americas. Taken in 2017 and released in 2018, the photo series capture a moment of political transition in Brazil; the images are taken after the impeachment of Dilma Rousseff and her socialist Workers’ Party and before the election of ultra-rightwing candidate Jair Bolsonaro. Bolsonaro rose to power, in part, by positioning himself against so-called ‘gender ideology’ and attacking marginalized populations, including LGBTQIA+ people. Bolsonarismo and its followers are politically fascist; they believe changing gender norms are linked to Brazil's perceived decline; they claim these shifting norms are humiliating, and respond with nationalism and violence. In this climate, the MBB have shifted their approach to trans politics by becoming more discerning about the teams' visibility and representation. Analysing both the images and their context, this chapter suggests that the Meninos' experiences highlight the connections between political fascism and what queer sport theorist Brian Pronger refers to as Body Fascism. The MBB contest such forms of repression through strategic uses of nudity and through representational choices that insist on the player's humanity and beauty. By asserting that their bodies on the pitch and in the locker room is ‘art, activism and resistance’ (the team's tagline), the MBB fight for trans justice in and through futebol.

Packaging and labelling have become essential to how food manufacturers generate and deliver value to customers. The information displayed on the packaging can be used to communicate to customers the properties and unique characteristics of a food product (e.g. nutrients, calories and country of origin). To achieve communication goals effectively, manufacturers need to understand how consumers evaluate products based on their attributes. In particular, companies should be aware of which specific product attributes affect consumer buying behaviour and which product attributes are more critical during food assessment. So, the paper aims to investigate consumer's behaviuor linked to typical product attributes indicated on the packaging.

The present study examines consumer willingness to pay (WTP) for a cherry jam with different attributes (brand, type of production method and price) on a sample of 2,166 Italian respondents through a choice experiment using a random parameter logit-error component model.

The results showed that WTP for jams can be affected by attributes such as brand, price and production methods; precisely, they indicated that the level of naturalness in the production process constitutes the main element for the consumer’s choice; however, the considerable weight that price and brand have in influencing the purchasing behaviour of the food consumer was still confirmed: in fact, a p-value of less than 0.05 was found in all cases.

To the best of the authors’ knowledge, this is the first study that assesses the effect of different types of production on WTP for food products. In addition, this study also reflects on the importance of the level of education for consumer choice.

The foremost objective of this chapter was to present an overview of the cooperative healthcare sector in Argentina by reviewing its brief history, components and the role these healthcare cooperatives play in the society. The second objective was to look at how these cooperatives have helped women and the local communities in which they operate.

This paper has used chiefly secondary data derived from various academic papers and official and government websites which publish cooperative sector-related information. The intention was to construct a concise yet detailed study that would be of help to other researchers in the field of healthcare cooperatives since the data related to Argentina is highly scattered and frequently found not up to date.

The research has found that health cooperatives in Argentina have aided in overcoming problems in the sector such as sectoral fragmentation, negligence and frequently inadequate standards of care management as well as operational and implementation failures that the private and government healthcare players have been accused of being fraught with. Furthermore, the cooperatives have frequently played a complementary or supplementary role rather than a competitive one with the private and government players.

Through the examples presented in this chapter, it is evident that health cooperatives in Argentina are making large impacts in the healthcare domain along with positively impacting women, marginalised and vulnerable sections of the society and the community. It only remains to be seen now how far this sector will grow in the future and how many more lives will be benefitted.

Like many other nations, the Government of Bangladesh (GoB) is having colossal difficulties managing the continuity of its development efforts in the milieu of COVID-19 pandemic. Widespread resource gap is evident for development budget due to significant diminution of revenue from readymade garments (RMG) and remittances, volatility in capital market, constant increase in trade deficit and reduction of foreign currency reserve, increase in debt and lack of investor confidence. A new horizon of relationship with development partners (DPs) will matter more than ever before. Regrettably, recent experience with collaborative mechanisms such as Local Consultative Group (LCG) and LCG Sector Working Group (LCG-WG) does not support high-impact relationships in terms of result-oriented development effectiveness. Arguably, the international shift of the development community from aid to development effectiveness agenda in 2011 also contributed to country-level motivation of Government and DPs for closer collaboration. In this backdrop, the COVID-19 crisis makes a strong call to both Government and DPs to change their business for improved development results. This chapter, therefore, examines the issues that impede development effectiveness and governance related to the Government as well as DPs. The study observe that the DPs and GoB don’t represent a horizontal relationship to implement the development effectiveness agenda in Bangladesh mainly because of dominant attitude, lack of alignment and harmonization and accountability of DPs and weak policy, institution and leadership of GoB. However, COVID-19 economic crisis makes a renewed call to both DPs and GoB implement the development effectiveness agenda, addressing existing issues and improve the management of development finance to increase economic growth and improve life of the people.

The extant literature documents the significance of nostalgia-evoking stimuli in promoting consumer behavior. Despite the prevalent use of nostalgia-evoking stimuli in restaurant service, research on nostalgia-evoking restaurants is significantly lacking. As a result, little is known about customers’ cognitive responses toward nostalgia-themed restaurant stimuli and their influences on customer loyalty behavior. Thus, grounded in an extended stimulus-organism-response model, this study aims to examine the role of nostalgia-evoking restaurant stimuli in explaining an integrated model focusing on nostalgia, in relation to local food consumption value, familiarity with nostalgia-triggering restaurants and loyalty and continued patronage.

The authors collected data from 544 Taiwanese customers at nostalgia-themed restaurants. Using PROCESS (Model 6), the direct and indirect effect of nostalgia-evoking restaurant stimuli on loyalty and continued patronage were examined.

The confirmatory factor analysis results showed that five domains of restaurant attributes (i.e., service staff, exterior and interior design, furniture and tableware, local food and atmosphere) are nostalgia-evoking stimuli. The authors also found that these nostalgia-evoking stimuli significantly affected customer loyalty indirectly, through customers’ consumption value and familiarity.

The results of this study help identify the importance of nostalgia-generating cues in nostalgia-themed restaurants and their roles in postpurchase behaviors. The outcomes contribute to an improved understanding of how to exploit nostalgic sentiments in nurturing diners’ consumption value, maintaining customer loyalty and generating greater profits.

To the best of the authors’ knowledge, this is one of the few studies examining restaurant attributes evoking nostalgia and explaining the mechanism by which nostalgia-evoking stimuli affect consumer behavior.

Organizations in today's changing environment face significant challenges, requiring continual innovation. Understanding oneself from the employee's perspective is paramount, especially in organizations and businesses, transforming all levels, accommodating new work paradigms and adapting to the post-pandemic business world. The authors examine the employees' critical dimensions, self-concept and resilience through self-reported studies to ascertain the impact on their performance in the organization. Self-concept, a multidimensional knowledge structure, implies the individual's description and examination, including psychological characteristics, attributes and skills. On the other hand, resilience is adapting appropriately to adversity, challenges and stressful situations and emerging unscathed. Resilience additionally leads to profound personal growth and acceptance of reality. It also endows the individual's sense of identity over time. It provides insights into work behavior and outcomes and fosters a positive psychological perspective to improve performance. Job performance is an observable individual performance that adds value and enables organizational goal achievement. To sum job performance is an achievement-related behavior. The research study examines the relationship between employee self-concept, resilience and performance elements (task, contextual and counterproductive work behavior).

Cross-sectional data were collected from 224 employees from the retail sector to test the hypotheses among self-concept, employee performance elements and resilience. SPSS 21.0 was used, and the authors conducted reliability, correlation and regression analysis using statistical tools to analyze the mediating effect.

Self-concept and employee performance elements have significant relationships. The mediating effect of resilience on the relationship between self-concept and counterproductive work behavior and self-concept and contextual performance is significant. In contrast, resilience does not impact the relationship between self-concept and task performance.

The authors examined a framework of untested variables, namely self-concept and the different factors of performance (task, contextual and counterproductive behavior). The authors investigated the mediating effect of resilience in the model, which was not previously explored.

Hundreds of thousands of deaths each year in the world are caused by breast cancer (BC). An early-stage diagnosis of this disease can positively reduce the morbidity and mortality rate by helping to select the most appropriate treatment options, especially by using histological BC images for the diagnosis.

The present study proposes and evaluates a novel approach which consists of 24 deep hybrid heterogenous ensembles that combine the strength of seven deep learning techniques (DenseNet 201, Inception V3, VGG16, VGG19, Inception-ResNet-V3, MobileNet V2 and ResNet 50) for feature extraction and four well-known classifiers (multi-layer perceptron, support vector machines, K-nearest neighbors and decision tree) by means of hard and weighted voting combination methods for histological classification of BC medical image. Furthermore, the best deep hybrid heterogenous ensembles were compared to the deep stacked ensembles to determine the best strategy to design the deep ensemble methods. The empirical evaluations used four classification performance criteria (accuracy, sensitivity, precision and F1-score), fivefold cross-validation, Scott–Knott (SK) statistical test and Borda count voting method. All empirical evaluations were assessed using four performance measures, including accuracy, precision, recall and F1-score, and were over the histological BreakHis public dataset with four magnification factors (40×, 100×, 200× and 400×). SK statistical test and Borda count were also used to cluster the designed techniques and rank the techniques belonging to the best SK cluster, respectively.

Results showed that the deep hybrid heterogenous ensembles outperformed both their singles and the deep stacked ensembles and reached the accuracy values of 96.3, 95.6, 96.3 and 94 per cent across the four magnification factors 40×, 100×, 200× and 400×, respectively.

The proposed deep hybrid heterogenous ensembles can be applied for the BC diagnosis to assist pathologists in reducing the missed diagnoses and proposing adequate treatments for the patients.