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Cities are facing challenges that dramatically affect their social and physical landscapes, leading to the increase of urban segregation and polarization. One response to these challenges is adaptive reuse, yet, in heterogeneous communities, these adaptations are often a source of conflict, because local actions often lack an integrative approach, leading to further exclusion. In this paper the authors explore the potential of adaptive reuse of urban heritage as a planning tool to support inclusiveness and heterogeneity.

The city of Acre is used as a case study, where different scenarios for urban heritage are proposed and tested among stakeholders through interviews. These aim to explore how adaptive reuse processes can lead to the inclusion or exclusion of certain groups and how design interventions in historic urban landscapes challenge the way the current disconnected historic and urban layers interact.

The paper presents the commonalities and differences between the interviewees' perceptions on Acre's functioning, their idea of inclusiveness and other aspects related to urban design. Moreover, it highlights the existing conflicts of interest, value prioritization and the adequacy of the proposed scenarios, serving as a way to verify the accuracy of the scenario building process.

Testing an urban design tool related to adaptive reuse of urban heritage in a real and extreme case, based on the guidelines of the Historic Urban Landscape Recommendation; and critically analysing the sources of conflict and value systems to address inclusion in heterogenous settings.

While the influence of individual beliefs on decision-making has been widely acknowledged, the interaction of different types of beliefs remains an under-researched topic. This study analyses how the simultaneous influence of religious beliefs and nonreligious beliefs shapes individual decision-making. This study aims to contribute to inform organizational decisions on topics potentially associated with these two types of beliefs, including corporate social responsibility matters. This study also aims to provide insights to ethical decision-making in situations of absence of social consensus, a subject that is relevant for individuals, organizations and policymakers.

This study uses fuzzy set qualitative comparative analysis to identify how different configurational groupings of Christian beliefs and humanistic beliefs lead to the acceptance or nonacceptance of euthanasia in a sample of individuals who identify as Catholic.

Among individuals sharing a Catholic religious affiliation, the authors identify three different configurations of beliefs – Cultural Catholics (religious beliefs are absent and humanistic beliefs are present), Observant Catholics (religious beliefs are present and humanistic beliefs are irrelevant) and Secular Catholics (both religious beliefs and humanistic beliefs are present).

Previous research has put forward the role of religion-related variables, such as religious affiliation and level of religiosity, for views on euthanasia. This study provides a more detailed analysis of the role of belief systems, identifying how different configurational groupings of beliefs lead to a decision grounded in moral and ethical considerations but for which there is an absence of social consensus.

This paper aims to analyze how psychosocial support influences caring activities toward indigenous older adults.

A descriptive study with the participation of 229 informal indigenous caregivers. The study considered both sociodemographic and medical variables. It used the mini-mental test to determine the cognitive level in the elderly. It applied the Yesavage and Zarit scales to establish depressive symptomatology and caregiver burden. Finally, the study used the MOS psychosocial support and Apgar screening questionnaires to assess the psychosocial dimension and the patient’s family functional state, respectively.

The study observed a low caregiver burden effect using the MOS questionnaire. This may be explained due to variability in the Zarit Scale Score product of other variables like years of care (−0.17 and −0.28), depressive symptoms (0.16 and 0.18), cognitive level (mini-mental) (−0.13 and −0.14) and comorbidity (0.26 and −0.27). The study obtained an incidence between (−0.02 and −0.12) when including all assessed dimensions into the model. The instrumental dimension in the social support questionnaire obtained the highest score.

Protective factors prevail in the group of indigenous caregivers allowing this activity to not trigger overload. Yet, variables such as the female gender, some comorbidities and the presence of depressive symptoms could be potential variables for dysfunction in this occupational role.

Data literacy empowers college students, equipping them with essential skills necessary for their personal lives and careers in today’s data-driven world. This study aims to explore how community college students evaluate their data literacy and further examine demographic and educational/career advancement disparities in their self-assessed data literacy levels.

An online survey presenting a data literacy self-assessment scale was distributed and completed by 570 students at four community colleges. Statistical tests were performed between the data literacy factor scores and students’ demographic and educational/career advancement variables.

Male students rated their data literacy skills higher than females. The 18–19 age group has relatively lower confidence in their data literacy scores than other age groups. High school graduates do not feel proficient in data literacy to the level required for college and the workplace. Full-time employed students demonstrate more confidence in their data literacy than part-time and nonemployed students.

Given the lack of research on community college students’ data literacy, the findings of this study can be valuable in designing and implementing data literacy training programs for different groups of community college students.