Objective:The coronavirus (COVID-19) pandemic represents an acute worldwide public health crisis causing an immediate disruption to every demographic group. One group significantly affected both educationally and psychosocially is college students, as they experienced an abrupt cancellation of in-person courses, were forced to leave their dormitories, and witnessed a loss of social activities. Method: This study utilizes survey data from college students in the throes of COVID-19-based home schooling collected for a Belgium-based international study including more than 134,000 participants from 28 countries around the world. Two hundred fifty-seven college students from a U.S. university participated in this study. Results: Results indicate that college students are affected by COVID-19 on several levels, including fear of themselves or others in their social network contracting the virus, apprehension about the changes in coursework delivery and unclear instructional parameters, overall loneliness, compromised motivation, and sleep disturbances, as well as anxious and depressive symptoms. Conclusions: Analyses reveal a positive relationship between academic frustrations and mental health symptoms, the latter also negatively related to trust in the government regarding the preventive measures being implemented. Worries about becoming infected were positively related to mental health symptoms and negatively related to trust in the government. Results and implications are discussed. Clinical Impact StatementWe believe this study directly affects clinical practice, because it provides tangible data on experiences of college students from an American university following the COVID-19 -related disruption. From these data, we were able to empirically identify specific areas of concern for college students that can be addressed during their counseling sessions (e.g., fear of themselves or others contracting the virus, motivational struggles, anxiety with remote learning, and their reactions to how the crisis is being handled at the national level). The information received also gave clues to preventive measures, emphasizing the importance of consistency and clarity on the way the crisis is being handled by the authorities and its effect on the emotional reactions of the public.

The New York City Police Department (NYPD), the largest state or local police force in the United States, is charged with securing New York City from crime and terrorism. The NYPD’s Domain Awareness System (DAS) is a citywide network of sensors, databases, devices, software, and infrastructure that informs decision making by delivering analytics and tailored information to officers’ smartphones and precinct desktops. DAS development began in earnest in 2008; since then, the NYPD has used the system to employ a unique combination of analytics and information technology, including pattern recognition, machine learning, and data visualization. DAS is used throughout the NYPD, and the DAS software has been sold to other agencies, bringing in revenue for New York City. Through improving the efficiency of the NYPD’s staff, DAS has generated estimated savings of $50 million per year. Most importantly, the NYPD has used it to combat terrorism and improve its crime-fighting effectiveness. Since DAS was deployed department wide in 2013, the overall crime index in the city has fallen by six percent.

Insight into countertransference can be used to help with differential diagnoses and to help prevent possible management problems with acting out patients. The Psychodynamic Diagnostic Manual is a useful taxonomy in that it includes countertransference as a diagnostic aid.

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Although partner abuse is well established as destructive societal problem, partner abuse among adolescents and young adults has only recently gained attention. Entitlement is a concept regularly evoked in the dating abuse literature. Much of the literature on dating partner abuse focuses on adolescent/young adult victimization, whereas perpetration is less well understood. This study examined sense of entitlement and its relationship to various types of abuse, including economic, emotional, physical, and sexual. Sense of entitlement was positively correlated with all types of abuse and was a better predictor of abusive behaviors than other variables in the regression model. Implications address how, including how assessing and addressing entitlement can enhance both partner abuse prevention and intervention efforts.

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