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The difficulties that lesbian, gay, bisexual, and/or queer (LGBQ) students face on college campuses often keeps them from feeling safe. This lack of safety hinders them from resolving higher level needs, including a sense of belonging. A specific challenge for LGBQ students which has been linked to negative outcomes is the consistent exposure to heterosexism, such as microaggressions. Microaggressions targeting LGBQ students' sexual identities can hinder both their overall and sexual identity development. The purpose of this study was to determine the relationship between the perception of being targeted by sexual orientation microaggressions in the residential environment, sense of belonging, and individual sexual identity among LGBQ students. Findings highlight the role of interpersonal and environmental microaggressions as negative predictors of sense of belonging. Additionally, in the current study sexual identity development was found not to moderate the relationship between microaggressions and sense of belonging. This study adds to the scholarship on these topics and overviews a connection between microaggressions and student outcomes, namely sense of belonging. Considering these findings along with recommendations for practice and research, institutions and scholars alike can help cultivate environments where all students, including those who identify as LGBQ, belong. [Discussion questions developed by E. Zach Helms and Emily Markovich.]

This fictional case study examines crisis response in higher education settings. Information about current crisis response procedures, plans, and trends was gathered from informational interviews, current crisis management literature, and multiple college and university websites. The information was synthesized into a fictional case study using Zdziarski, Rollo, and Dunkel's crisis matrix as a framework for discussion and analysis. The case examines the response of a mid-level administrator and the far-reaching implications of an active shooter crisis on campus. The case study allows flexibility so that multiple roles can be considered in an institutional response plan. The case is designed to provide administrators guidance in creating a crisis response team, a chance to reflect on their current understanding of crisis management and a review of the crisis management cycle.

Lung ultrasound can evaluate for pulmonary edema, but data suggest moderate inter-rater reliability among users. Artificial intelligence (AI) has been proposed as a model to increase the accuracy of B line interpretation. Early data suggest a benefit among more novice users, but data are limited among average residency-trained physicians. The objective of this study was to compare the accuracy of AI versus real-time physician assessment for B lines. This was a prospective, observational study of adult Emergency Department patients presenting with suspected pulmonary edema. We excluded patients with active COVID-19 or interstitial lung disease. A physician performed thoracic ultrasound using the 12-zone technique. The physician recorded a video clip in each zone and provided an interpretation of positive (≥3 B lines or a wide, dense B line) or negative (<3 B lines and the absence of a wide, dense B line) for pulmonary edema based upon the real-time assessment. A research assistant then utilized the AI program to analyze the same saved clip to determine if it was positive versus negative for pulmonary edema. The physician sonographer was blinded to this assessment. The video clips were then reviewed independently by two expert physician sonographers (ultrasound leaders with >10,000 prior ultrasound image reviews) who were blinded to the AI and initial determinations. The experts reviewed all discordant values and reached consensus on whether the field (i.e., the area of lung between two adjacent ribs) was positive or negative using the same criteria as defined above, which served as the gold standard. 71 patients were included in the study (56.3% female; mean BMI: 33.4 [95% CI 30.6–36.2]), with 88.3% (752/852) of lung fields being of adequate quality for assessment. Overall, 36.1% of lung fields were positive for pulmonary edema. The physician was 96.7% (95% CI 93.8%–98.5%) sensitive and 79.1% (95% CI 75.1%–82.6%) specific. The AI software was 95.6% (95% CI 92.4%–97.7%) sensitive and 64.1% (95% CI 59.8%–68.5%) specific. Both the physician and AI software were highly sensitive, though the physician was more specific. Future research should identify which factors are associated with increased diagnostic accuracy. [ABSTRACT FROM AUTHOR]

The article offers the views of librarians from Georgia who attended American Library Association's (ALA) Annual Conference & Exhibition held at New Orleans from June 21–26, 2018. It refers to Christopher Andrews of University of North Georgia who mentions about the presentation on unintentional bias, celebrities doing book promotions such as Sally Field. The article offers refers to Laurie Aycock of Kennesaw State University who mention about the session with librarian Carla Hayden.

The article examines the representation of female characters in the book series "The Lord of the Rings" and related works by J.R.R. Tolkien from the perspective of fan fiction. According to the authors, fan fiction functions as derivative work and as transformative work because authors decide to select or ignore those aspects of Tolkien's work they find problematic.