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Here, using publicly available traffic camera feeds in combination with a real-world field experiment, we examine how pedestrians of different races behave in the presence of racial out-group members. Across two different New York City neighbourhoods and 3,552 pedestrians, we generate an unobtrusive, large-scale measure of inter-group racial avoidance by measuring the distance individuals maintain between themselves and other racial groups. We find that, on average, pedestrians in our sample (93% of whom were phenotypically non-Black) give a wider berth to Black confederates, as compared with white non-Hispanic confederates., (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)

Depression is a serious problem for many older adults but is too often undetected by the person, family or providers. Although vocal patterns have been successfully used to detect and predict depression in adults aged 18 to 65 years, no studies to date have included older adults. The study purpose was to determine whether vocal patterns associated with clinical depression in younger people also signify depression in older adults. An observational, repeated measures design was used to enroll 46 volunteer older adults who completed a semi-structured interview composed the 9-item Patient Health Questionnaire or PHQ-9 depression scale and selected speech measures. Recorded interviews were analysed by machine learning algorithms to evaluate whether vocal patterns may predict presence of depression in older adults. In this study, using the PHQ-9 and a supervised machine learning algorithm accurately predicted high and low depression scores between 86% and 92% of the time. Change in raw PHQ-9 scores between interview cycles was predicted within 1.17 points. These results provide strong and promising evidence that vocal patterns can be used effectively to detect clinical depression in adults who are 65 years and older., (© 2019 Australian College of Mental Health Nurses Inc.)