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Educators strive to develop and implement high impact educational experiences, which are critical to ensuring university courses and curricula serve as memorable and transferable learning experiences for students. It is not clear, however, which experiences are exceptional from a student perspective, or what kinds of illustrative examples exist in applied disciplines. In this chapter, we ground our discussion of high impact educational experiences in the field of program evaluation, contextualize it as organized at the University of Minnesota, describe three experiences that have been repeatedly described as impactful by students, and engage in a collective dialogue as teachers and learners.

Israel, characterized by various knowledge-intensive entrepreneurial firms, provides an interesting case study for examining sector-based differences and “small country” regional patterns. This chapter has a dual goal of exploring sector and regional differences of knowledge-intensive firms in Israel. The first goal is to depict similarities and differences between firms in three knowledge-intensive sectors: Life Sciences, information technology, and Cleantech. The second goal questions whether the geographical distribution of these firms across regions is associated with different levels of knowledge concentration and organizational homogeneity. Regional and sector-based differences were measured by firm-level network structures, funding patterns, and innovation proxies. One way analysis of variance tests were conducted for attaining these research goals. The main findings show that while most regions exhibit similar patterns of firm and network characteristics, many differences exist on the sector level that are associated with sector-specific attributes. These findings support the notion of a “small country inter-regional homogeneity effect.”

This paper aims to reasonably quantify the radial deformation of turbine blade from a probabilistic design perspective. A probabilistic design for turbine blade radial deformation considering non-linear dynamic influences can quantify risk and thus control blade tip clearance to further develop the high performance and high reliability of aeroengine. Moreover, the need for a cost-effective design has resulted in the development of probabilistic design method with high computational efficiency and accuracy to quantify the effects of these uncertainties.

An extremum response surface method-based support vector machine (SVM-ERSM) was proposed based on SVM of regression to improve the computational efficiency and precision of blade radial deformation dynamic probabilistic design regarding non-linear material properties and dynamically thermal and mechanical loads.

Through the example calculation and comparison of methods, the results show that the blade radial deformation reaches at the maximum at t = 180 s; the probabilistic distribution and inverse probabilistic features of output parameters and the major factors (rotor speed and gas temperature) are gained; besides, the SVM-ERSM holds high computational efficiency and precision in the non-linear dynamic probabilistic design of aeroengine typical components.

The present efforts provide a method to design turbine besides other aeroengine components considering dynamic and non-linear factors base on probabilistic design for further research.

Moreover, the present study provides a way to design dynamic (motion) structures from a probabilistic perspective.

It is proved that the dynamic probabilistic design-based SVM-ERSM could produce a more reasonable blade radial deformation while maintaining low failure probability, as well as offer a useful reference for blade-tip clearance control and a promising insight to the optimal design of aeroengine typical components.

Research was conducted on parents’ experience of caring for a child living with Duchenne muscular dystrophy (DMD). The focus of this research was on the key psychological aspects of the process of adjustment to the illness of their child (family and spousal relationship, daily life, emotions, career, spirituality, and coping strategies). There was evidence throughout the study of gender‐specific differences in constructing the different aspects of the shared experience. The main findings included major differences in the initial reaction and coping styles between mothers and fathers. These differences could be perceived as a threat or could serve as a source of isolation between parents. Additional findings included the unequal sharing of caregiving tasks between partners: the primary caregiving role usually being assumed by the mother, with the father playing a supportive role. The unique contribution of this study in further describing the lived experience of parents of a child with DMD is its attention to the internal dynamic of the relationship between mothers and fathers. This dynamic is highly dependent on the respective roles of primary and secondary caregiver. This research has implications for the design and implementation of intervention strategies aimed at couples caring for a child with DMD, or with other severe, chronic, and uniformly fatal illnesses.

This chapter explores the ethical complexities of researching location-aware social discovery Smartphone applications (apps) and how they mediate contemporary experiences of travel. We highlight the context-specific approach required to carrying out research on Tinder, a location-aware app that enables people to connect with others in close proximity to them. By journeying through the early stages of our research project, we demonstrate how ethical considerations and dilemmas began long before our project became a project. We discuss the pulls toward data extraction/mining of user-generated content (i.e., Tinder user profiles) within digital social research and the ethical challenges of using this data for research purposes. We focus particularly on issues of informed consent, privacy, and copyright, and the differences between manual and automated data mining/extraction techniques. Excerpts from our university ethics application are included to demonstrate how our research sits uneasily within standardized ethical protocols. Our moves away from a ‘big data’ approach to more ‘traditional’ and participatory methodologies are located within questions of epistemology and ontology including our commitment to practicing a feminist research ethic. Our chapter concludes with the lessons learned in the aim to push forward with research in challenging online spaces and with new data sources.

To maximize the network total profit by calculating the difference between costs and revenue (first objective function). To maximize the positive impact on the environment by integrating GSCM factors in RL (second objective function). To calculate the efficiency of disassembly centers by SDEA method, which are selected as suppliers and maximize the total efficiency (third objective function). To evaluate the resources and total efficiency of the proposed model to facilitate the allocation resource process, to increase resource efficiency and to improve the efficiency of disassembly centers by Inverse DEA.

The design of a closed-loop logistics network for after-sales service for mobile phones and digital cameras has been developed by the mixed-integer linear programming method (MILP). Development of MILP method has been performed by simultaneously considering three main objectives including: total network profit, green supply chain factors (environmental sustainability) and maximizing the efficiency of disassembly centers. The proposed model of study is a six-level, multi-objective, single-period and multi-product that focuses on electrical waste. The efficiency of product return centers is calculated by SDEA method and the most efficient centers are selected.

The results of using the model in a case mining showed that, due to the use of green factors in network design, environmental pollution and undesirable disposal of some electronic waste were reduced. Also, with the reduction of waste disposal, valuable materials entered the market cycle and the network profit increased.

(1) Design a closed-loop reverse logistics network for after-sales services; (2) Introduce a multi-objective multi-echelon mixed integer linear programming model; (3) Sensitivity analysis use Inverse-DEA method to increase the efficiency of inefficient units; (4) Use the GSC factors and DEA method in reverse logistics network.

In a world teeming with concurrent processes and associated chaos, organizational working procedures have adapted to new trends; employees must keep up with everything while maintaining their mental health. Spirituality lends a person's life significance. Spirituality in the workplace can both physically and psychologically engage employees. Spirituality in the workplace is reflected in the organizational culture, which is founded on fundamental values such as trust, honesty, appreciation, innovation, care, respect, and loyalty. Workplace spirituality encompasses the pursuit of one's ultimate purpose in life, the development of a solid connection to colleagues and other people associated with work, and the consistency or alignment between one's fundamental beliefs and the organization's values. To have a competitive advantage and attract the best personnel, an organization's working environment must be based on strong ethical and spiritual values such as compassion, integrity, respect, harmony, trust, teamwork, and forgiveness, among others.

Without the voices of those impacted by homelessness, there is a risk that important understandings essential to the development of effective solutions to homelessness will remain obscured. The purpose of this paper is to provide an overview of the evidence base and insights into recommendations for development and implementation of policies and practices to promote meaningful involvement of people experiencing homelessness as part of a community response to homelessness in a mid‐size Canadian city.

A scoping literature review was conducted, focusing on homelessness and social exclusion/inclusion.

Based on this review, the authors provide insights into the processes of social exclusion and inclusion as a beginning place for developing strategies for meaningful engagement in community responses to homelessness. Roots of social exclusion, towards social inclusion and creating social inclusion were three themes which emerged as central to developing inclusionary policy. First, the roots of social exclusion associated with homelessness are located in unequal power relations, highlighting contextual factors that produce exclusion with implications for health and well‐being. Second, towards social inclusion, reflects theoretical perspectives and principles that have been used to inform inclusionary practices. Third, creating inclusion highlights some strategies that can support inclusion for people experiencing homelessness and foster development of inclusionary policy.

There is little evidence of effective practices that promote social inclusion or attention to specific strategies that engage diverse homeless populations that account for gender, ethnicity and other important differences. A key next step is the development of guidelines for social inclusion at the organizational and municipal levels of decision making with those impacted by homelessness.