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People with pre-existing mental health conditions are more likely to be affected by global crises. The Covid-19 pandemic has presented them with unique challenges, including reduced contact with the psychiatric rehabilitation and support systems. Thus, understanding the emotional experience of this population may assist mental health organizations in future global crises.

In this paper, researchers analyzed the discourse of the mentally ill during the Covid-19 pandemic, as reflected in Israeli Facebook groups: three private groups and one public group. Researchers explored the language, reactions, emotions and sentiments used in these groups during the year before the pandemic, outbreak periods and remission periods, as well as the period before the vaccine’s introduction and after its appearance.

Analyzing groups’ discourse using the collective emotion theory suggests that the group that expressed the most significant difficulty was the Depression group, while individuals who suffer from social phobia/anxiety and PTSD were less affected during the lockdowns and restrictions forced by the outbreak.

Findings may serve as a tool for service providers during crises to monitor patients’ conditions, and assist individuals who need support and help.

Miscarriage is the most common adverse pregnancy outcome, with an estimated one in four pregnancies ending in loss. Despite its prevalence, and significant effects, early pregnancy loss is commonly unacknowledged by organizations, and the intersect of miscarriage experiences while navigating work remains sparsely researched. Available literature, and preliminary research from my Ph.D., reveal stark findings, notably that women commonly conceal miscarriage at work, and when they do disclose, they often experience inconsistent support, or none at all. Minimization, and even discriminatory practice, are commonly witnessed (including inappropriate absence reporting, formal warnings, jeopardization of promotional opportunities, and redundancy). Effective support is often due to empathetic line managers, who sometimes have first-hand experience. Partners are commonly assigned to the “supporter role”, resulting in insufficient leave and support. The absence of formal initiatives, including policy and training, exacerbate the issue. Workplaces that fail to address miscarriage likely face reduced engagement and productivity, and increased absenteeism, presenteeism, and staff turnover. Key recommendations are presented, emphasizing the need for organizations to (i) implement a pregnancy loss policy; (ii) train managers, HR, and colleagues; (iii) provide specialist support; and (iv) tackle pro-natal cultures. Avenues for future research are explored, notably the need to adopt an intersectional lens, and to obtain management/HR and partner perspectives.

This study aims to evaluate the effect of Alpha-Stim Anxiety, Insomnia and Depression (AID) cranial electrotherapy stimulation (CES) on anxiety, depression and health-related quality of life for primary care social prescribing service patients with anxiety symptoms.

Open-label patient cohort design with no control group. A total of 33 adult patients (average age 42 years) completed six weeks of Alpha-Stim AID use. Pre- and post-intervention assessment with participant self-report measures: Patient Health Questionnaire (PHQ-9), Generalised Anxiety Disorder (GAD-7) and European Quality of Life Five Dimension (EQ-5D-5L).

Reliable improvement and remission rates, respectively, were 53.39% and 33.3% for GAD-7; 46.7% and 29.5% for PHQ-9. There was a significant improvement in GAD-7 and PHQ-9 with large effect sizes. EQ-5D-5L results showed significant improvements in health-related quality of life. Perceived quality of life increased by 0.17 on the health index score, with the intervention adding 1.68 quality-adjusted life years (QALYs).

Alpha-Stim AID can be delivered through a primary health-care social prescribing service and most patients will use as prescribed and complete treatment course. Alpha-Stim AID CES may be an effective anxiety and depression treatment for people with anxiety symptoms. The widespread roll-out of Alpha-Stim AID in health-care systems should be considered.

To the best of the authors’ knowledge, this is the first study to respond to the UK’s National Institute for Health and Care (NICE) request for the collection of real-world data to understand better Alpha-Stim AID in relation to people’s treatment uptake, response rates and treatment completion rates (NICE, 2021).

The study examines the prevalence and correlates of perceived discrimination across ten Asian American ethnic groups. The goal is to disaggregate an artificially created broad categorization of Asians into subgroups to reveal the existing intragroup differences.

Bivariate and multivariate analyses were based on data from the 2016 National Asian American Survey (NAAS). The exclusion of missing data on all variables used in the analysis revealed a final analytical sample size of 4,276.

Compared to all other Asian American ethnic groups, Cambodians report the lowest frequency of perceived discrimination on all outcome measures. On the contrary, the prevalence of perceived discrimination is highest for Bangladeshis and Indians on lifetime and job-related discrimination and for Indians and Japanese on day-to-day discrimination. Nearly all Asian American ethnic groups are more likely to report one or more types of perceived discrimination than Chinese Americans. The observed relationships disappear for Cambodians, Pakistanis and Japanese but persist for Bangladeshis, Filipinos, Hmong and Indians after controlling for socio-demographic characteristics. Among the socio-demographic controls, gender, birthplace, education and employment status are found to be significant predictors of perceived discrimination.

The findings of the study further the discussion on the importance of disaggregating minority groups and considering their heterogeneous experiences of perceptions of discrimination in the United States.

This chapter explores the development of social science visualizations as cultural objects within art worlds. The research examines artworks as social science visualizations to show the importance of conducting analysis within distinctive social, institutional, and cultural environments. To make these arguments, the chapter outlines some of the key features of art worlds as they have been analyzed by cultural sociologists and anthropologists. We point out how cultures of reception and institutional intermediaries, such as museums, have historically shaped the construction of artworks, which are never produced or interpreted in a vacuum. The chapter closes with a call to expand both the application of social science visualizations and our understanding of such visualizations as subject to similar art world dynamics. Such visualizations, it is argued, constitute key components of social research practice increasingly oriented toward a digitally connected public hungry for visual interpretations of contemporary social developments.

The authors contribute to the literature on leadership by investigating how characteristics of principal investigators (PIs) affect innovation performance, and how collaborative and non-collaborative projects moderate this relationship within the context of inter-organisational research projects.

The authors analysed panel data from the National Science and Technology Information Service on 171 research projects within a biomedical and regenerative medicines programme overseen by the Korea Health Industry Development Institute. The authors used a hierarchical regression model, based on the ordinary least squares method, to examine the relationship between PI characteristics and performance, considering both quantity and quality.

The results show that the characteristics of PIs have diverse effects on the quantity and quality of innovation performance. Gender diversity within PIs negatively affects the quality of innovation performance, while the capacity of PIs positively influences it. Moreover, the degree of PI’s engagement is positively associated with the quantity of innovation performance but does not have a significant relationship with the quality of performance. In terms of moderating effects, collaborative projects with multiple leaders seem less reliant on PI capacity than non-collaborative projects led by a single leader, in terms of innovation performance.

The results contribute significantly to the literature on innovation management by examining the role of leadership in collaborative environments to enhance innovation performance, addressing the need for empirical evidence in this area. Analyses of PI characteristics in government R&D management can lead to improved team performance, more efficient processes and effective resource allocation, ultimately fostering innovation.