Exploring the Effects of CAM Therapy Compared to Opioid Administration in a Hospital Setting

https://scholarworks.moreheadstate.edu/student_scholarship_posters/1229/thumbnail.jp

Food Impact

Our article focused on the problem of food accuses. We split the piece into Food deserts, Food insecurity, Food acculturation, and discussion. We used professional sources from the Missouri S&T library and professional interviews. We relate most of these topics to the book outcast united then finally relating it to the area of rolla leaving students with something to think about

Accelerating U.S. Clean Energy Deployment: Investor Policy Priorities

International investment to mitigate climate change is far below levels needed to reach the two-degree target. The International Energy Agency estimates that an average of an additional $1 trillion in incremental financing for clean energy is needed to meet the temperature target. In September 2014, over 350 investors representing$24 trillion in assets issued the Global Investor Statement on Climate Change, calling on governments to create an ambitious global agreement that includes a meaningful price on carbon -- the "Clean Trillion."This paper connects the Clean Trillion goal to the current United States climate and clean energy policy framework, which is a mixture of federal, state, and local initiatives. The paper outlines the 2015 U.S. policy priorities of the Policy Working Group of the Investor Network on Climate Risk (INCR), a network of more than 110 institutional investors primarily based in the U.S., focused on investment risks and opportunities associated with climate change

Acute Liver Failure Secondary to Hemophagocytic Lymphohistiocytosis during Pregnancy.

Hemophagocytic lymphohistiocytosis (HLH) is a syndrome of excessive immune activation that mimics and occurs with other systemic diseases. A 35-year-old female presented with signs of viral illness at 13 weeks of pregnancy and progressed to acute liver failure (ALF). We discuss the diagnosis of HLH and Kikuchi-Fujimoto (KF) lymphadenitis in the context of pregnancy and ALF. HLH may respond to comorbid disease-specific therapy, and more toxic treatment can be avoided

CoorsTek- Spine Discectomy

The objective is to design improved instrumentation for performing a spine discectomy. In particular, the instrument should remove the nucleus pulposus without damaging the annulus in order to prepare the spine disc for the insertion of an artificial spacer. As more nucleus pulposus is removed from the disc, the spine will fuse more quickly and completely after the artificial spacer is inserted. The current process involves removing the nucleus pulposus piece by piece with pituitary rongeurs. This process is slow and often incomplete

An Ethnographic Study of Student Eating Habits at Parkland

Our research question was broad as we chose to examine the eating habits of Parkland students and how it may affect their performance in the classroom. We also chose to focus on how Parkland students’ eating/snacking habits have changed since being at Parkland compared to high school or wherever they snacked before becoming college students. From our cultural anthropology course, we understand that food and eating habits are part of the “everyday actions that reflect cultural ideas” and can be studied to define the identity of a group (Miller Griffith and Marion 2020). Our research will reflect part of the identity of Parkland students through their habits

An Algorithmic Framework for Fairness Elicitation

We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders. We introduce a framework in which pairs of individuals can be identified as requiring (approximately) equal treatment under a learned model, or requiring ordered treatment such as "applicant Alice should be at least as likely to receive a loan as applicant Bob". We provide a provably convergent and oracle efficient algorithm for learning the most accurate model subject to the elicited fairness constraints, and prove generalization bounds for both accuracy and fairness. This algorithm can also combine the elicited constraints with traditional statistical fairness notions, thus "correcting" or modifying the latter by the former. We report preliminary findings of a behavioral study of our framework using human-subject fairness constraints elicited on the COMPAS criminal recidivism dataset