An analysis of fear of crime using multimodal measurement

Victimization, Disability Status, and Fear Among U.S. College Students

Levels of fear of crime are high in the United States, though they differ across groups. Researchers have identified characteristics associated with high levels of fear of crime, often noting that those most fearful also have vulnerabilities that increase their risk of experiencing victimization. Thus, having a vulnerability and experiencing victimization may exacerbate fear of crime. One such characteristic that may impact fear of crime is having a disability. The current study uses data from the American College Health Association's National College Health Assessment Spring 2021 survey to investigate how disability interacts with victimization to impact fear of crime among college students. To do so, assessments of personal safety in multiple contexts are used: at night, during the day, on campus, and in the community. Results show that disability increases the odds of feeling unsafe across contexts, as does having a history of victimization. Nonetheless, disability does not significantly interact with victimization. It may be that having a disability is such a strong risk factor for feeling unsafe that being a victim does not significantly further increase this assessment. Institutions of higher learning should use their offices of accommodation as well as victim services to assist students in reducing their feelings of being unsafe.

Bioimpedance Sensor and Methodology for Acute Pain Monitoring

The paper aims to revive the interest in bioimpedance analysis for pain studies in communicating and non-communicating (anesthetized) individuals for monitoring purpose. The plea for exploitation of full potential offered by the complex (bio)impedance measurement is emphasized through theoretical and experimental analysis. A non-invasive, low-cost reliable sensor to measure skin impedance is designed with off-the-shelf components. This is a second generation prototype for pain detection, quantification, and modeling, with the objective to be used in fully anesthetized patients undergoing surgery. The 2D and 3D time-frequency, multi-frequency evaluation of impedance data is based on broadly available signal processing tools. Furthermore, fractional-order impedance models are implied to provide an indication of change in tissue dynamics correlated with absence/presence of nociceptor stimulation. The unique features of the proposed sensor enhancements are described and illustrated here based on mechanical and thermal tests and further reinforced with previous studies from our first generation prototype.