The mental health of ASU students has been negatively affected by the pandemic. Our research looks to prove that COVID-19 has caused an increase in stress levels while uncovering other relationships to stress. We obtained our data by conducting a survey through Google Forms that was exclusively accessible to ASU students. Stress levels were measured with the use of the Perceived Stress Scale (PSS). We find that the stress of ASU students from before the pandemic to during rises from 15 to 22 points, a 50% increase (n = 228). We discovered that women are more stressed than men before and during the pandemic. We also discovered that there is no difference between stresses among different races. We notice that there is a parabolic relationship between enrollment time and stress levels with the peak occurring during semesters 2-6. We also conclude that students who attended more than 5 events during the pandemic had lower stress scores, and those who had their videos on for at least 3 events had lower stress scores. Furthermore, students who utilized campus resources to manage their stress had higher stress levels than those who did not.

During the global COVID-19 pandemic in 2020, many universities shifted their focus to hosting classes and events online for their student population in order to keep them engaged. The present study investigated whether an association exists between student engagement (an individual’s engagement with class and campus) and resilience. A single-shot survey was administered to 200 participants currently enrolled as undergraduate students at Arizona State University. A multiple regression analysis and Pearson correlations were calculated. A moderate, significant correlation was found between student engagement (total score) and resilience. A significant correlation was found between cognitive engagement (student’s approach and understanding of his learning) and resilience and between valuing and resilience. Contrary to expectations, participation was not associated with resilience. Potential explanations for these results were explored and practical applications for the university were discussed.

The mental health of ASU students has been negatively affected by the pandemic. Our research looks to prove that COVID-19 has caused an increase in stress levels while uncovering other relationships to stress. We obtained our data by conducting a survey through Google Forms that was exclusively accessible to ASU students. Stress levels were measured with the use of the Perceived Stress Scale (PSS). We find that the stress of ASU students from before the pandemic to during rises from 15 to 22 points, a 50% increase (n = 228). We discovered that women are more stressed than men before and during the pandemic. We also discovered that there is no difference between stresses among different races. We notice that there is a parabolic relationship between enrollment time and stress levels with the peak occurring during semesters 2-6. We also conclude that students who attended more than 5 events during the pandemic had lower stress scores, and those who had their videos on for at least 3 events had lower stress scores. Furthermore, students who utilized campus resources to manage their stress had higher stress levels than those who did not.

The mental health of ASU students has been negatively affected by the pandemic. Our research looks to prove that COVID-19 has caused an increase in stress levels while uncovering other relationships to stress. We obtained our data by conducting a survey through Google Forms that was exclusively accessible to ASU students. Stress levels were measured with the use of the Perceived Stress Scale (PSS). We find that the stress of ASU students from before the pandemic to during rises from 15 to 22 points, a 50% increase (n = 228). We discovered that women are more stressed than men before and during the pandemic. We also discovered that there is no difference between stresses among different races. We notice that there is a parabolic relationship between enrollment time and stress levels with the peak occurring during semesters 2-6. We also conclude that students who attended more than 5 events during the pandemic had lower stress scores, and those who had their videos on for at least 3 events had lower stress scores. Furthermore, students who utilized campus resources to manage their stress had higher stress levels than those who did not.

We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones Industrial Average. The results showed that a tri-gram bag led to a 49% trend accuracy, a 1% increase when compared to the single-gram representation’s accuracy of 48%.

South Asian students are known for having immense pressure on them due to parental expectation and oftentimes that stress can present in psychosomatic symptoms. This investigation aimed to better understand the physical presentations of stress and how South Asians compare to their white peers. An online study was conducted with both South Asian (n = 15) and White (n = 58) individuals that use the Perceived Stress Scale and the New York State United Teachers physical stress assessment to understand the differences in stress. It was found that South Asians have a higher average perceived stress core of 25 versus 20 for whites and experience headaches, sore neck, an overall feeling of worry and anxiety, and diarrhea more frequently than their white counterparts. This suggests that South Asians may in fact have more psychosomatic manifestations of stress. It is posited that this is due to South Asian students not having an adequate outlet in which they can express negative emotions.

Forensic pathology is a critical science that bridges medicine and law. A forensic pathologist conducts autopsies to determine the cause and manner of an individual’s death, which is helpful in solving forensic cases and criminal cases and discovering hereditary diseases. They are also responsible for contacting family members or next of kin of the deceased and for presenting their findings or conclusions in court. Although forensic pathology is a vital field in science and law, there is a national deficiency of active forensic pathologists. This may be due to the lack of awareness given to the health and wellness of the workforce, which is at risk in a high stress-inducing work environment. Forensic pathologists are consistently subjected to stress due to overwhelming caseloads and a lack of adequate staffing. While there have been studies conducted in the United States to examine occupational stress and potential coping mechanisms, these reports focus on forensic scientists and not forensic pathologists specifically who may be more likely to develop stress due to their direct work with death. In order to identify what work-related factors cause forensic pathologists the most stress and how have they chosen to cope with their stress, I conducted a survey collecting both qualitative and quantitative data. After completing the study, I identified workload, inadequate staff, dissatisfaction with administration, court processes, and lack of time to complete duties as the most recurring themes of stress, which are supported by the quantitative analysis as well. The coping mechanisms most often mentioned by the participants include exercise, time with family and friends, communicating their stress, complete separation from work, and media use. After identifying these stressor and coping strategies, the participants of the study listed potential practices or programs that could be instated in order to mitigate workplace stress. From this study, suggestions can be made to medical examiner offices that are seeking to improve employee wellness and potentially adopt stress reduction programs in the workplace.

As threats emerge, change, and grow, the life of a police officer continues to intensify. To help support police training curriculums and police cadets through this critical career juncture, this study proposes a state of the art approach to stress prediction and intervention through wearable devices and machine learning models. As an integral first step of a larger study, the goal of this research is to provide relevant information to machine learning models to formulate a correlation between stress and police officers’ physiological responses on and off on the job. Fitbit devices were leveraged for data collection and were complemented with a custom built Fitbit application, called StressManager, and study dashboard, termed StressWatch. This analysis uses data collected from 15 training cadets at the Phoenix Police Regional Training Academy over a 13 week span. Close collaboration with these participants was essential; the quality of data collection relied on consistent “syncing” and troubleshooting of the Fitbit devices. After the data were collected and cleaned, features related to steps, calories, movement, location, and heart rate were extracted from the Fitbit API and other supplemental resources and passed through to empirically chosen machine learning models. From the results of these models, we formulate that events of increased intensity combined with physiological spikes contribute to the overall stress perception of a police training cadet