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Explores the interconnections between gay communities and cultural spaces in the context of style in the United States. Uses of clothing and appearance style by gays; Position of gays in the commodity capital; Ambivalence among gay and lesbian communities in embracing subculture and target market as categories to establish fashion identities.

Background: Personal sensing has shown promise for detecting behavioral correlates of depression, but there is little work examining personal sensing of cognitive and affective states. Digital language, particularly through personal text messages, is one source that can measure these markers.Methods: We correlated privacy-preserving sentiment analysis of text messages with self-reported depression symptom severity. We enrolled 219 U.S. adults in a 16 week longitudinal observational study. Participants installed a personal sensing app on their phones, which administered self-report PHQ-8 assessments of their depression severity, collected phone sensor data, and computed anonymized language sentiment scores from their text messages. We also trained machine learning models for predicting end-of-study self-reported depression status using on blocks of phone sensor and text features.Results: In correlation analyses, we find that degrees of depression, emotional, and personal pronoun language categories correlate most strongly with self-reported depression, validating prior literature. Our classification models which predict binary depression status achieve a leave-one-out AUC of 0.72 when only considering text features and 0.76 when combining text with other networked smartphone sensors.Limitations: Participants were recruited from a panel that over-represented women, caucasians, and individuals with self-reported depression at baseline. As language use differs across demographic factors, generalizability beyond this population may be limited. The study period also coincided with the initial COVID-19 outbreak in the United States, which may have affected smartphone sensor data quality.Conclusions: Effective depression prediction through text message sentiment, especially when combined with other personal sensors, could enable comprehensive mental health monitoring and intervention. [ABSTRACT FROM AUTHOR]

Reports on the seasonal distribution patterns for fish and decapod crustaceans by habitat type for a Cape Cod estuary in Nauset Marsh, Massachusetts. Fish larval supply; Habitat use; Faunal composition of Nauset Marsh.

Technology-enabled mental health services have the potential to expand the reach of care and reduce clinician demand. While the efficacy of technology-enabled mental health services is well established, there have been few successful implementations of such services into community care settings. Using mixed methods, 89 clinicians and supervisors at a mental health service organization shared attitudes toward and interest in using a variety of technologies in their work. Participants discussed several challenges and opportunities for technology-enabled mental health services. Whilst clinicians saw potential for technology to engage individuals both in and outside the clinical environment, the range of therapeutic techniques used by clinicians presented a challenge in implementing a tool to meet their needs. Client technology access was a concern, and although text messaging would facilitate communication, current HIPAA and payment structures restrict this ability. With these considerations, we offer recommendations for implementing technological services in community mental health organizations.

Background: There is a 20-year delay between the development of effective interventions for individuals with severe mental illness and widespread adoption in public mental health care settings. Academic-provider collaborations can shorten this gap, but establishing and maintaining partnerships entail significant challenges., Aims: This paper identifies potential barriers to academic-provider research collaborations and provides guidelines to overcome these obstacles., Method: Authors from an academic institution and community mental health organization outline the components of their long-standing partnership, and discuss the lessons learned that were instrumental in establishing the collaborative model. Results Realistic resource allocation and training, a thorough understanding of the service model and consumer characteristics, systemic and bidirectional communication and concrete plans for post-project continuation are necessary at all project phases., Conclusions: A shared decision-making framework is essential for effective academic institution and community mental health agency collaborations and can facilitate long-term sustainability of novel interventions.

Background: Although women make up nearly half of medical school classes in the United States, just over 20% of residents in surgery are women (excluding obstetrics/gynecology). The objective of this study was to identify whether the proportion of women surgeons on the faculty who have frequent encounters with medical students during their surgery rotation influences the student's perceptions about women surgeons or their career choice., Methods: Seven US medical schools with proportions of women surgeons on the fulltime faculty varying from 10% to 40% were selected to participate in this survey. Women medical students graduating in the spring of 2000 were asked to complete an anonymous 29 question survey designed to assess their perceptions of women surgeons' career satisfaction. Demographic information about the students such as career choice, age, and marital status was also collected. The differences in responses between those schools with 40% women faculty and those with less than 15% were analyzed., Results: The overall response rate was 74% (305 of 413). Forty-five percent of students had daily or weekly contact with a woman surgery attending. There were no differences in perceptions of women surgeons' career satisfaction for those students at schools with 40% women surgeons versus those with less than 15%. However, 21 of 24 (88%) students choosing surgery as a career were from the three schools with a greater number of women surgical role models (P <0.0001). Students who chose a career in surgery perceived the women faculty's career satisfaction to be higher than did those students not choosing a surgical career (P <0.01)., Conclusions: Women medical students perception of women surgeons' career satisfaction did not appear to be affected by the proportion of women surgeons on the faculty at their medical school. However, their choice of surgery as a career was strongly associated with a higher proportion of women on the surgical faculty.