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2022

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Facial Expression Recognition In People With Differing Levels Of Eating Disorder Symptoms, Ilya Nudnou Jan 2022

Facial Expression Recognition In People With Differing Levels Of Eating Disorder Symptoms, Ilya Nudnou

Psychology

Previous studies of emotion categorization abilities of people with eating disorders used accuracy and reaction time to identify performance deficits for these individuals. The conclusions from this literature have been mixed, due in part to low sample sizes and inconsistent assessment of comorbid diagnoses. The current study re-examined eating disorder symptom severity as a function of emotion categorization abilities, using visual cognition paradigms that offer insights into how emotional faces may be categorized, as opposed to how well these faces are categorized. This relationship was examined while controlling for anxiety, depression, alexithymia, and emotion regulation. Visual information use, emotion representation …

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Creating Better Working Landscapes In Post-Conservation Reserve Program (Crp) Lands: Promoting Butterfly And Floral Resource Populations Through Patch-Burn Grazing (Pbg) And Over-Seeding, Kimberly Zralka Jan 2022

Creating Better Working Landscapes In Post-Conservation Reserve Program (Crp) Lands: Promoting Butterfly And Floral Resource Populations Through Patch-Burn Grazing (Pbg) And Over-Seeding, Kimberly Zralka

Range Science

Declines in pollinator populations are a concern globally, and more information is needed to help conserve them. We studied how post-Conservation Reserve Program (CRP) lands could be managed as pollinator habitat. Our study occurred in Hettinger, ND from 2017-2021. We assessed the effects of patch-burn grazing on butterflies and floral resources. We also assessed the success of over-seeding to enhance flowering resources utilized by butterflies. We found that different butterfly species exhibited site selection based on time-since-fire, indicating that patch-burn grazing may be an effective grassland management method for creating diversity. We also found that grazer species (sheep or cattle) …

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Lessons Learned From An Enterprise-Wide Clinical Datathon, Andrew J Zimolzak, Jessica A Davila, Vamshi Punugoti, Ashok Balasubramanyam, Paul E Klotman, Laura A Petersen, Ryan H Rochat, Gloria Liao, Rory R Laubscher, Lee Leiber, Christopher I Amos Jan 2022

Lessons Learned From An Enterprise-Wide Clinical Datathon, Andrew J Zimolzak, Jessica A Davila, Vamshi Punugoti, Ashok Balasubramanyam, Paul E Klotman, Laura A Petersen, Ryan H Rochat, Gloria Liao, Rory R Laubscher, Lee Leiber, Christopher I Amos

Faculty, Staff and Students Publications

In 2020, Baylor College of Medicine held a datathon to inform potential users of a new data warehouse, allow users to address clinical questions, identify warehouse capabilities and limitations, foster collaborations, and engage trainees. Senior faculty selected proposals based on feasibility and impact. Selectees worked with Information Technology for 2 months and presented findings. A survey of participants showed diverse levels of experience, high perceived value of the datathon, high rates of collaboration, and significant increases in knowledge. A datathon can promote familiarity with a new data warehouse, guide data warehouse improvement, and promote collaboration.

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