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The time-varying equivalent linear temperature gradient (ELTG) significantly affects the development of faulting and must therefore be accounted for in pavement design. The same is true for faulting of bonded concrete overlays of asphalt (BCOA) with slabs larger than 3 x 3 m. However, the evaluation of ELTG in Mechanistic-Empirical (ME) BCOA design is highly time-consuming. The use of an effective ELTG (EELTG) is an efficient alternative to calculating ELTG. In this study, a model to quickly evaluate EELTG was developed for faulting in BCOA for panels 3 m or longer in size, whose faulting is sensitive to ELTG.

A database of EELTG responses was generated for 144 BCOAs at 169 locations throughout the continental United States, which was used to develop a series of prediction models. Three methods were evaluated: multiple linear regression (MLR), artificial neural networks (ANNs), and multi-gene genetic programming (MGGP). The performance of each method was compared, considering both accuracy and model complexity.

It was shown that ANNs display the highest accuracy, with an R² of 0.90 on the validation dataset. MLR and MGGP models achieved R² of 0.73 and 0.71, respectively. However, these models consisted of far fewer free parameters as compared to the ANNs. The model comparison performed in this study highlights the need for researchers to consider the complexity of models so that their direct implementation is feasible.

This research produced a rapid EELTG prediction model for BCOAs that can be incorporated into the existing faulting model framework.

This review aims to synthesize the brand hate literature and suggest directions for future research on brand hate.

This study adopted an integrative literature review method to synthesize and assess the brand hate literature.

The synthesis showed that social identity theory, disidentification theory and duplex theory are prominently used in brand hate studies, and a larger portion of brand hate research was conducted in Western countries. Further, brand-related, self-congruity, personal factors, information influence and brand community influence are the major types of antecedents of brand hate which can produce soft or hard consequences. Lexicometric analysis showed causes of brand hate, consumers' negative emotional and behavioral outcomes and community anti-brand behavior as key themes of brand hate research.

The synthesis has followed predefined criteria for the inclusion research papers. Thus, the review is limited to articles that fulfilled the criteria for inclusion.

The finding will help marketers, specially brand managers, craft strategies to handle brand hate.

The brand hate literature is still developing and remains incoherent, suggesting that a synthesized review is needed. This study has systematically reviewed and synthesized the brand hate literature to study its development over time and proposes a framework which provides a comprehensive understanding of brand hate.

This paper aims to propose an innovative method for deploying a personalized instructor-created software-aided assessment system, that will disrupt traditional learning environments by allowing students to confidentially and with indirect supervision from the instructor, assess their knowledge and ability to achieve the course outcomes.

Through empirical evaluation in real-world educational settings, the authors examine the impact of augmenting human activity in the classroom with an innovative software platform to transform the learning process.

Findings indicate that this software-aided assessment system effectively augments human interactivity by providing timely instructor-designed feedback to increase knowledge retention and skillsets.

This study has shown that incorporating disruptive innovation through the use of software-aided assessment systems increases the effectiveness of the faculty in the classroom and enhances student learning and retention. Thus, a transformative software-aided assessment system design that incorporates artificial intelligence into the learning pathway should be pursued. These software-aided assessments are disruptive innovation as they are formative, frequent and require little direct involvement from the instructor.

To the best of the authors’ knowledge, this study is the first of its kind to incorporate artificial intelligence into the assessment process by analyzing results of pilot programs at several universities. The results demonstrate how using software-aided transformative assessments in various courses have helped instructors assess students’ preparedness and track their learning progress. These software-aided systems are the first step in bringing disruptive innovation to the classroom as these software-aided assessment instruments rapidly assess learners’ knowledge and skills based on short, easily created, multiple-choice tests, with little direct engagement from the faculty.

The author argues that contemporary college culture is predicated on hedonism indicated by a use of predominantly social time in which parties, alcohol, casual sex, and lax academics pervade students' experiences. Coincident with this culture, however, is a deleterious pattern among students that has developed dramatically: their compromised mental health. The situation presents an apparent paradox: why are many students suffering when enveloped by fun? This chapter draws a connection between fun and suffering by treating each as conditions that spring from the sociohistorical context that situates institutions of higher education. In so doing, a theory is set forth to explain why despair is rendered applicable and how it is institutionally installed in the minds of modern-day college students.

This paper aims to define intergenerational housing support and assesses and synthesizes the existing literature on intergenerational support for housing to identify trends and possible areas for future research.

The methodology employed in this paper is a systematic literature review. A total of 32 articles were chosen for assessment. Upon thorough review, summary and synthesis, general trends and three specific themes were identified.

The review of 32 papers found that intergenerational support is a crucial strategy to help younger generations achieve homeownership. However, it also highlights the potential for social inequity resulting from unequal distribution of housing resources within families, especially regarding housing. Several potential gaps in the current research are identified, including the need for explicit attention to the provider's intention, exploration into the size and form of financial support for housing, understanding how parental housing resources differ in their transfer behaviors, and examining how parental motivations influence them to provide housing support.

This paper provides recommendations for further research on the topic, while also adding perspective to understand the micro-social mechanisms behind the intergenerational reproduction of socioeconomic inequality, especially in the housing market.

Celebrate Michael Buckland's impressive legacy to LIS by showing his humanity, generosity and versatility.

This article is walk through a scientific career in LIS. Through personal anecdotes and life history and building upon Michael Buckland's legacy, it summarises the author’s own work seen through the prism of her interactions with Buckland, leading to scholarly contributions articulating significant statements about the field of LIS as well as pointers to past relevant publications.

Michael Buckland has a unique way of putting an end to thorny LIS issues as well as being a documentator extraordinaire.

It is a personal account, as such cannot be evaluated through the classical norms of empirical research as there is no ground truth. This account shows how chance encounters with fellow scholars can have a lasting influence on one's academic career as well as wider impact in a field.

Spirituality and leadership, both have an intrinsic goal where they incorporate clarity of understanding, vision and collective action and both have the potential to empower an individual or a team, with commitment and productivity. It is one of the rapidly growing areas of leadership. It takes responsible policymakers and leaders to build a nation that benefits multiple stakeholders and all citizens. The aim of the chapter is to explore the concept of spirituality and show how applied spirituality can provide moral and practical guidance for leaders of public policy to take bold and enlightened steps towards achieving sustainable development (SD) goals. We define spirituality as a way of understanding, inner awareness, personal integration, and a source of values that give ultimate meaning or purpose beyond the egoic self. As such the chapter will go beyond existing discussions of ethical, moral, or values-based leadership and raise issues of how a deeper spiritual understanding of human nature can guide leaders. Some helpful practices like mindfulness are also covered in this chapter. There are various relevant leadership styles including transformational leadership, servant leadership, moral leadership and participatory leadership. Although each of these has some positive characteristics, this chapter with the help of those characteristics would try to get a deeper insight and understanding of how spirituality can stimulate and add more value, and bring integrity, motivation and strong leadership qualities. This chapter covers the existing gap in the literature on applied spirituality and leadership and concludes that leadership when incorporated with spirituality plays a vital role in honing the skills of the leaders and changing their perspective towards the team. The chapter will conclude with ideas for discussion among faculty and students and suggestions for further research into the use of applied spirituality for leadership in sustainable development policy.

Due to the dominant use of the singular view of the self-categorization process in the literature, this article seeks to develop a typology, from a dyadic categorization perspective, that describes different types of prejudice and justice in the organization based on one's self-categorization and others' categorization of one's self.

The authors develop a typology by drawing upon social identity, self-categorization and self-consistency theories.

The authors propose the following findings. First, the more an individual self-categorizes as an in-group member regardless of how others categorize the individual, the more likely the individual experiences a particular form of justice. Second, the more an individual self-categorizes as an out-group member regardless of how others categorize the individual, the more likely the individual experiences a particular form of prejudice. Finally, based on the dyadic categorization approach, the authors propose four distinct types of prejudice and justice: communal prejudice, self-induced prejudice, fantasized justice and actualized justice.

The authors advance the literature by providing a dyadic categorization view that helps describe employees' experience of prejudice or justice in the organization. Additionally, this article offers some managerial recommendations that help managers actualize true justice in the organization.