Utility of a Viral Vesicular Panel Multiplex Polymerase Chain Reaction Assay for the Diagnosis of Monkeypox, Herpes Simplex, and Varicella Zoster Viruses.

Mpox (monkeypox) represents a diagnostic challenge due to varied clinical presentations and multiple mimics. A commercially available multiplex polymerase chain reaction panel accurately detects mpox virus as well as common mimics (herpes simplex virus, varicella zoster virus) in clinical specimens and could be used in routine clinical, surveillance, and outbreak settings.

SARS-CoV-2 seroprevalence among healthcare personnel at a large health system in Atlanta.

Background: Estimates of the prevalence of SARS-CoV-2 antibodies and factors associated with infection among healthcare personnel (HCP) vary widely. We conducted a serosurvey of HCP at a large public healthcare system in the Atlanta area.

Materials And Methods: All employees of Grady Health System were invited to participate in mid-2020; a volunteer sample of those completing testing was included.

Automation-Induced Complacency Potential: Development and Validation of a New Scale.

Complacency, or sub-optimal monitoring of automation performance, has been cited as a contributing factor in numerous major transportation and medical incidents. Researchers are working to identify individual differences that correlate with complacency as one strategy for preventing complacency-related accidents. is an individual difference reflecting a general tendency to be complacent across a wide variety of situations which is similar to, but distinct from trust.

Measuring Individual Differences in the Perfect Automation Schema.

Objective: A self-report measure of the perfect automation schema (PAS) is developed and tested.

Background: Researchers have hypothesized that the extent to which users possess a PAS is associated with greater decreases in trust after users encounter automation errors. However, no measure of the PAS currently exists.

Are well-calibrated users effective users? Associations between calibration of trust and performance on an automation-aided task.

Objective: We present alternative operationalizations of trust calibration and examine their associations with predictors and outcomes.

Background: It is thought that trust calibration (correspondence between aid reliability and user trust in the aid) is a key to effective human-automation performance. We propose that calibration can be operationalized in three ways.

I trust it, but I don't know why: effects of implicit attitudes toward automation on trust in an automated system.

Objective: This study is the first to examine the influence of implicit attitudes toward automation on users' trust in automation.

Background: Past empirical work has examined explicit (conscious) influences on user level of trust in automation but has not yet measured implicit influences. We examine concurrent effects of explicit propensity to trust machines and implicit attitudes toward automation on trust in an automated system.

Perceptions of family caring and its impact on peer associations and drug involvement among rural dwelling African American and White adolescents.

The purpose of this study was to investigate the premise that adolescent perceptions of family caring are a precipitating source of substance use deterrence. More specifically, this study examined the role of family caring on communication of substance use harm and sanctions of use and the effect of these on peer substance involvement and individual use outcomes. A sample of rural dwelling African American and White 7th and 8th grade students (N = 1780) was assessed through self-report.

Affective processes in human-automation interactions.

Objective: This study contributes to the literature on automation reliance by illuminating the influences of user moods and emotions on reliance on automated systems.

Background: Past work has focused predominantly on cognitive and attitudinal variables, such as perceived machine reliability and trust. However, recent work on human decision making suggests that affective variables (i.

Not all trust is created equal: dispositional and history-based trust in human-automation interactions.

Objective: We provide an empirical demonstration of the importance of attending to human user individual differences in examinations of trust and automation use.

Background: Past research has generally supported the notions that machine reliability predicts trust in automation, and trust in turn predicts automation use. However, links between user personality and perceptions of the machine with trust in automation have not been empirically established.

The use of background and ability profiles to predict college student outcomes.

To determine whether profiles of predictor variables provide incremental prediction of college student outcomes, the authors 1st applied an empirical clustering method to profiles based on the scores of 2,771 entering college students on a battery of biographical data and situational judgment measures, along with SAT and American College Test scores and high school grade point average, which resulted in 5 student groups. Performance of the students in these clusters was meaningfully different on a set of external variables, including college grade point average, self-rated performance, class absenteeism, organizational citizenship behavior, intent to quit their university, and satisfaction with college. The 14 variables in the profile were all significantly correlated with 1 or more of the outcome measures; however, nonlinear prediction of these outcomes on the basis of cluster membership did not add incrementally to a linear-regression-based combination of these 14 variables as predictors.