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The Open for Antiracism program supports faculty to change their teaching practices to be antiracist through the affordances of open educational resources (OER) and open pedagogy. This study aims to raise questions about how professional development impacts student outcomes, and how faculty perceive the utility of OER and open pedagogy to support antiracist teaching and learning.

An evaluation plan examined how faculty participants perceived the effectiveness of OER and open pedagogy to make their classes antiracist. Students compared their experiences in treated classes with those in other classes. Participating faculty completed pre- and post-surveys and a subset sat for interviews.

Faculty participants felt prepared to implement antiracist practices using OER and open pedagogy. Eighty-seven percent reported they were highly likely to recommend the program and 80% plan to continue using open pedagogy. Eighty percent of students reported they were more active or engaged than in other classes and that they examined biases of the discipline.

This study raises the question of how antiracist teaching approaches impact student outcomes over a longer term. Further, how can changes to teaching strategies impact institutions? Do teams of instructors offer support in ways that lead to a greater voice within an institution?

This chapter discusses religious diversity and the religious minority student on the HBCU campus. The author discusses existing literature and research on religious minority college students and the challenges and experiences of religious minorities on campus. The primary purpose of this chapter is to improve HBCU practitioners’ abilities to promote religious pluralism and tolerance of all faiths. Student affairs practitioners must first have a fundamental understanding of who is a religious minority.

This paper aims to study the role of self-concept in consumer relationships with anthropomorphised conversational artificially intelligent (AI) agents. First, the authors investigate how the self-congruence between consumer self-concept and AI and the integration of the conversational AI agent into consumer self-concept might influence such relationships. Second, the authors examine whether these links with self-concept have implications for mental well-being.

This study conducted in-depth interviews with 20 consumers who regularly use popular conversational AI agents for functional or emotional tasks. Based on a thematic analysis and an ideal-type analysis, this study derived a taxonomy of consumer–AI relationships, with self-congruence and self–AI integration as the two axes.

The findings unveil four different relationships that consumers forge with their conversational AI agents, which differ in self-congruence and self–AI integration. Both dimensions are prominent in replacement and committed relationships, where consumers rely on conversational AI agents for companionship and emotional tasks such as personal growth or as a means for overcoming past traumas. These two relationships carry well-being risks in terms of changing expectations that consumers seek to fulfil in human-to-human relationships. Conversely, in the functional relationship, the conversational AI agents are viewed as an important part of one’s professional performance; however, consumers maintain a low sense of self-congruence and distinguish themselves from the agent, also because of the fear of losing their sense of uniqueness and autonomy. Consumers in aspiring relationships rely on their agents for companionship to remedy social exclusion and loneliness, but feel this is prevented because of the agents’ technical limitations.

Although this study provides insights into the dynamics of consumer relationships with conversational AI agents, it comes with limitations. The sample of this study included users of conversational AI agents such as Siri, Google Assistant and Replika. However, future studies should also investigate other agents, such as ChatGPT. Moreover, the self-related processes studied here could be compared across public and private contexts. There is also a need to examine such complex relationships with longitudinal studies. Moreover, future research should explore how consumers’ self-concept could be negatively affected if the support provided by AI is withdrawn. Finally, this study reveals that in some cases, consumers are changing their expectations related to human-to-human relationships based on their interactions with conversational AI agents.

This study enables practitioners to identify specific anthropomorphic cues that can support the development of different types of consumer–AI relationships and to consider their consequences across a range of well-being aspects.

This research equips marketing scholars with a novel understanding of the role of self-concept in the relationships that consumers forge with popular conversational AI agents and the associated well-being implications.

This study aims to identify the dietary patterns of two groups of subjects (with and without COVID-19), and to assess the relationship of findings with the prognosis of COVID-19 and metabolic risk parameters.

This study included 100 individuals in the age range of 19–65 years. The medical history, and data on biochemical, hematological and inflammatory indicators were retrieved from the files. A questionnaire for the 24-h food record and the food intake frequency was administered in face-to-face interviews, and dietary patterns of subjects were assessed.

In individuals with COVID-19, the hip circumference, the waist-hip ratio and the body fat percentage were significantly higher (p < 0.05), and the muscle mass percentage was significantly lower (p < 0.05). Mediterranean diet adherence screener (MEDAS), dietary approaches to stop hypertension (DASH) and healthy eating ındex-2015 (HEI-2015) scores were low in the two groups. A linear correlation of DASH scores was found with the muscle mass percentage (p = 0.046) and a significant inverse correlation of with the body fat percentage (p = 0.006). HEI-2015 scores were significantly and negatively correlated with body weight, body mass index, waist circumference, hip circumference and neck circumference (p < 0.05). Every one-unit increase in MEDAS, DASH and HEI-2015 scores caused reductions in C-reactive protein levels at different magnitudes. Troponin-I was significantly and negatively correlated with fruit intake (p = 0.044), a component of a Mediterranean diet and with HEI-2015 total scores (p = 0.032).

The limitation of this study includes the small sample size and the lack of dietary interventions. Another limitation is the use of the food recall method for the assessment of dietary patterns. This way assessments were performed based on participants’ memory and statements.

Following a healthy diet pattern can help reduce the metabolic risks of COVİD-19 disease.

Despite these limitations, this study is valuable because, to the best of the authors’ knowledge, it is the first study demonstrating the association of dietary patterns with disease prognosis and metabolic risks concerning COVID-19. This study suggests that dietary patterns during the COVID-19 process may be associated with several metabolic risks and inflammatory biomarkers.

Response to suggestion that EU-wide cash payment limits would assist in the control of terrorism finance and money laundering.

Desk review and interviews

The inception impact assessment (IIA) is ill-conceived, not grounded on firm empirical evidence and harmful to both crime control and the legitimate interests and rights of the EU citizens. The action under discussion is presented as a measure against terrorism finance, serious crime and tax evasion. The problem is that these criminal acts correspond to very different methods, volumes, perpetrators, causes and control challenges. Cash payment limitations (CPLs) are nowhere near a panacea that can address all of them and cannot make any of them go away magically. Even when each of these crime challenges are considered on their own, the empirical linkage of CPLs to effective controls is not there. The evidence from EU countries with CPLs in place shows higher levels of informal economy, corruption, tax evasion and terrorism risks than those without. There is substantial evidence of non-cash, very serious and organized crime, while the amounts needed and used by terrorists in Europe are usually very small in cash transactions, way below the thresholds under consideration. In fact, determined offenders will shift to other methods and become more sophisticated, posing new problems to controllers. Displacement and incentives for better-organized crime may well be the main products of such measures.

It counters the argument that the cash payment limits can help reduce serious crime, while pointing to several adverse consequences on legitimate interests and human rights.