Richard Selzer: Poet of the Body and Poet of the Soul

Describes the Whitman-influenced work of poet-physician Richard Selzer

Wideband, high efficiency optical modulator requires less than 10 watts drive power

Wideband optical modulation system operates with less than 10-watts drive power. It consists of an optical modulator and transistorized driver that combines small cross-section potassium dideuterium phosphate crystals with laser beam-condensing optics. Optical modulation systems may serve importantly in future space wideband communication systems

Healthy in Mind, Body, and Spirit

The stress of modern life can manifest itself in our physical, mental, and spiritual health. Rest is crucial for optimal health across all dimensions

Gender Based Violence in Jordan: Domestic Violence and Honor Crimes

This paper analyzes the social, psychological, religious, and legal interactions of gender-based violence that manifest themselves within the Jordanian society in various ways. Honor crimes are the ultimate manifestation of this phenomenon in this culture, and as such cannot be separated from the society, gender-relations, or violence against women. Interviews with specialist within the field allow for a more in depth exploration of the topic

Building Blocks: A Multi-Theoretical Preventative Model to Promote Post-Traumatic Growth

The following is an exploratory model to understand the factors that promote growth after traumatic events, also known as post-traumatic growth (PTG). Additionally, the hope is to inspire further research and create quantitative data regarding the effectiveness of these factors, add additional interventions and integrate into crisis/trauma paradigms during recovery. Therefore, clients would be more equipped to handle the possibility of another event. When PTG occurs, victims of trauma experience increased positive well-being, life satisfaction and regain a new compassion for meaning or purpose in their life. By utilizing the following interventions, victims of past traumatic events can live a more preferred life and promote coping skills from within their own interests. The three interventions to be examined are the use of gratitude, creative writing and efficacy of yoga practices. All three of which have been supported by data to either promote or correlate within the post-traumatic growth domain

Senior Recital: Douglas Becknell, Baritone; Wanda Bennett, Piano; February 7, 1971

Centennial Recital HallFebruary 7, 19713:00 p.m

Birth Order and Humor Styles

Humor can be used in a multitude of ways. Previously, Rod Martin has developed four distinct categories of individual humor style, which describes the way in which an individual uses humor on an everyday basis. The four styles are affiliative, self-enhancing, aggressive, and self-deprecating. The question is what factors may be related to one’s humor style. It has been found that humor styles are correlated with one’s personality score on Five Factor Personality test. It has also been found that one’s order of birth is related to one’s personality. Therefore, it is reasonable to propose that one’s birth order may have a correlation with one’s style of humor. In the current research project, we aimed to investigate whether birth order is correlated to certain styles of humor. We predicted that the eldest child would show higher levels of self-enhancing humor, the middle child would show higher levels of affiliative humor, and the youngest child would show higher levels of self-deprecating humor. We are currently collecting data on student’s birth order and style of humor. Once the data has been collected and analyzed, statistical analysis will determine whether or not we should accept or reject the hypothesis. The data collection is still on going. We plan to present the preliminary results during the symposium

Machine Learning Based Model for the Detection of Brain Aneurysms from MR Angiography

A brain aneurysm is a thin or weak spot on a blood vessel wall that expands and fills with blood. Brain aneurysms are very dangerous due to the fact that in most cases, patients do not show any symptoms. Because of this, aneurysms are difficult to diagnose unless it becomes very large or ruptures, resulting in fatal hemorrhage. Aneurysms can be detected by a number of different brain imaging methods including Magnetic Resonance Imaging (MRI), Magnetic Resonance Angiography (MRA), Computed Tomography Angiography (CTA) and other imaging methods but for the sake of this report we will only be focusing on MRA. MRA scans are optimal for the detection of brain aneurysms because they produce images that can be used to distinguish blood vessels from surrounding stationary tissue. Since aneurysms happen only in the blood vessels, MRA scans are an ideal image type to train a predictive machine learning model for our purposes. Artificial intelligence, machine learning, and deep learning are all growing fields that are leading to breakthroughs in the medical community. For machine learning models and algorithms specifically, they have greatly helped in analyzing, locating, and predicting critical health conditions including brain aneurysms. With the help of this technology, medical professionals, such as radiologists, can greatly benefit from the predictions these models can provide. Image interpretation by human experts can be limited due to subjectivity, complexity of the image, extensive variations across different interpreters, and fatigue. With the help of these models, physicians and radiologists will be able to make more accurate and precise diagnoses with predictive algorithms serving as a second opinion. More specifically, with the help of machine learning and MR Angiography, a predictive model can be trained to help detect brain aneurysms that might otherwise go unnoticed by radiologists. Here, we have developed four convolutional neural network (CNN) models that successfully detect aneurysm presence within MRA scans. Further investigation should be done to validate and improve these models to create a more accurate and sensitive diagnostic platform