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Although social distancing measures enacted during COVID-19 prevented the spread of the virus and acted as important coping mechanisms during this stressful time, they also contributed to loneliness and anxiety. The pros and cons of social distancing measures were especially relevant among people with disabilities and chronic health conditions – a high-risk group concerned about infection through contact with non-household members and visiting public places like school, healthcare providers, and work.

Drawing on data from a national online survey (N = 1,027) and in-depth virtual interviews (N = 50) with Canadians with disabilities and chronic health conditions, we examine the positive and negative effects of three types of social distancing measures – avoiding public places, transitioning to remote work or school, and avoiding contact with non-household members – on perceptions of increases in anxiety and loneliness during the pandemic.

We find that the relationships between engaging with social distancing measures and anxiety and loneliness could be positive or negative, with measures acting as both adaptive and maladaptive coping mechanisms. Although avoiding public places or non-household members and transitioning to remote work or school often resulted in increased anxiety and loneliness, respondents also described situations where these measures helped them cope with concerns about catching COVID-19.

Our findings highlight potential implications for public health policy in allocating different coping resources among marginalized groups during times of crisis and demonstrate the importance of using a social model of stress, coping mechanisms, and mental health.

The authors analyse the development and implementation of the standard for the Legal Entity Identifier as a case of creating information-based assets through the establishment of an infrastructure that certifies the accuracy and validity of identity data. The authors term this process capitalization by certification. The findings describe a process whereby an identification infrastructure – including a non-replicable methodology for assessing data quality – is established that contributes to making the developer and controller of that methodology, an irreplaceable intermediary for users of the infrastructure; this in spite of the need for an associated reference data infrastructure to be open and widely accessible to all participants for the infrastructure to be successful. The findings indicate that in the process, assets are created on the basis of openly accessible data through certifying of a desired set of qualities to be achieved by adopters and the infrastructure. This, in turn, provides a starting point toward better understanding and theorizing of wider processes of data capitalization, encountered throughout the digital economy but which are also crucial to establishing information infrastructures that support cognitive action.

This research provides accounting-ethics authors and administrators with a benchmark for accounting-ethics research. While Bernardi and Bean (2010) considered publications in business-ethics and accounting’s top-40 journals this study considers research in eight accounting-ethics and public-interest journals, as well as, 34 business-ethics journals. We analyzed the contents of our 42 journals for the 25-year period between 1991 through 2015. This research documents the continued growth (Bernardi & Bean, 2007) of accounting-ethics research in both accounting-ethics and business-ethics journals. We provide data on the top-10 ethics authors in each doctoral year group, the top-50 ethics authors over the most recent 10, 20, and 25 years, and a distribution among ethics scholars for these periods. For the 25-year timeframe, our data indicate that only 665 (274) of the 5,125 accounting PhDs/DBAs (13.0% and 5.4% respectively) in Canada and the United States had authored or co-authored one (more than one) ethics article.

This chapter discusses social responsibility taking into account the role of women as statutory auditors. Indeed, auditors are expected to confirm whether the financial statements are true and fair and, in accordance with the law, adopt a responsible attitude to the society. Methodologically, this research relied on a two-track approach. The first takes the form of an editorial review and argument which allows the authors to explore social responsibility literature along with implications for the role of women as statutory auditors. The second takes the form of a field research based on an exploratory longitudinal analysis, over the period 1973–2013, and support of the legal regime of Portugal, with public available sources of statistics and reports relating to the statutory auditors. The authors provided a glimpse of the role of women in this profession and, in the last years, the results show a weak increase of women on the statutory audit exercise.

Ramp meters in the Twin Cities were turned off for 8 weeks in the Fall of 2000. This paper analyzes traffic data collected in this experiment on travel time variability with and without ramp metering for several representative freeways during the afternoon peak period. Travel time variability is generally reduced with metering. However, it is found that ramp meters are particularly helpful for long trips relative to short trips. The annual benefits from reducing travel time variability with meters are estimated to be $33.1 million, compared to the annual ramp metering costs of $2.6 million in the Twin Cities metro area. Thus, the impact on travel time variability should be captured in future ramp metering benefit/cost analysis.

Tremendous measure of data lakes with the exponential mounting rate is produced by the present healthcare sector. The information from differing sources like electronic wellbeing record, clinical information, streaming information from sensors, biomedical image data, biomedical signal information, lab data, and so on brand it substantial as well as mind-boggling as far as changing information positions, which have stressed the abilities of prevailing regular database frameworks in terms of scalability, storage of unstructured data, concurrency, and cost. Big data solutions step in the picture by harnessing these colossal, assorted, and multipart data indexes to accomplish progressively important and learned patterns. The reconciliation of multimodal information seeking after removing the relationship among the unstructured information types is a hotly debated issue these days. Big data energizes in triumphing the bits of knowledge from these immense expanses of information. Big data is a term which is required to take care of the issues of volume, velocity, and variety generally seated in the medicinal services data. This work plans to exhibit a survey of the writing of big data arrangements in the medicinal services part, the potential changes, challenges, and accessible stages and philosophies to execute enormous information investigation in the healthcare sector. The work categories the big healthcare data (BHD) applications in five broad categories, followed by a prolific review of each sphere, and also offers some practical available real-life applications of BHD solutions.

This chapter historicizes the social construction of racism in Brazilian society and its relation to the development of the library and information science (LIS) field. It is a theoretical-reflective research built on the scientific literature of the field of LIS and related areas that aims at reflecting on social justice in Brazilian libraries and creating strategies to confront institutional racism. The authors develop five main points to understand Brazilian racism: the myth of racial democracy, structural and institutionalized racism, the whitening ideology, whiteness, and the epistemicide of black knowledge. The authors then discuss racism and the promotion of white supremacy in library teaching and professional action in libraries. Black US American and Black Brazilian Librarianship movements show that the activism and political action of black librarians advance the development of informational counter-narratives. Finally, the authors recommend three strategies for social, racial, and informational justice in the LIS field: including ethnic-racial studies in basic university courses curricula; building diverse, inclusive collections that account for ethnic-racial themes and authors; and considering “Pretuguese” keywords while indexing, in order to counter exclusion and promote epistemic repair. The authors conclude by advocating for these strategies to steer LIS professional and educational spheres toward contributing to forward an anti-racist society.