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Instructions for Poster/Interview Judging
The Poster/Interview rubric and scorecards are located below. Please make sure you grab the scorecard for your designated category. Feel free to start scoring posters at your leisure. Competitor interviews will be posted to this site as they become available. The deadline for scoring posters/interviews is 5 pm, Monday, 4/20. Please email your scores to Pete Osterhoudt (email@example.com) by the deadline. Thank you for your help!
Arts, Humanities & Social Sciences Judges: John Dion & Liz Richards
Math & Sciences Judges: Mary Cosgrove and Peter Young
Instructions for Reflection Question Judging
Librarians: Please read and score all of the Reflection Questions in your designated category. The prompt, rubric, and scorecard for the Reflection Questions are located below. The deadline for scoring is 9 am, Monday, 4/20. Please make sure you email your scores to Pete Osterhoudt (firstname.lastname@example.org) by the deadline. Thank you for your help!
Arts, Humanities, & Social Sciences
Growing Connections with The Vegetable Project
A decade-old Pine Hills organization shows that there is a lot more to Gardening than just the harvest. The Vegetable Project grows connections for kids in the Albany City School District in a non-traditional learning environment.
Sarah Clark, Kayla DeMicco, and Sydney Manning
Protocol Change Limits Learning
Staff writers at the student-run newspaper, The Chronicle, and student journalists at The College of Saint Rose experience difficulties accessing information on campus. Reporting opportunities are limited when interviewing employees because of policies that hinder the ability to collect information. As a result, the student newspaper, The Chronicle, produced three stories, detailing the challenges student journalists have faced and still encounter. The published stories drew attention and coverage from local media outlets.
At Your Discretion: Content Warning Implementation on Mastodon
This study is a quantitative & qualitative analysis of user experiences with content warnings on the emerging social media platform Mastodon. Mastodon has a feature encouraging individuals to apply a content warning to their postings. A survey to examine user experiences at a glance was distributed and reached nearly 300 individuals. Five interviewees volunteered for a semi-structured interview about their experiences with the feature. With an understanding of mood management theory, selective exposure theory, and uses and gratification theory, the observed results demonstrate the importance of this feature and the ways it is utilized.
Apologies - Kyle's interview ran a little long...
Determining Factors Affecting Core Oral Microbiome for Saint Rose Students
The mouth microbiome possesses the second largest microbiome after the gut, containing more than 700 species of bacteria. The composition of these species are separated into two categories, a core microbiome and a variable microbiome. In humans our core oral microbiome consists of the most prevalent species existing in a human's mouth under healthy conditions. The variable microbiome contains species which have evolved as a direct response to factors such as genetics and lifestyle choices. The exact factors which are suspected to affect the oral microbiome are not fully understood. The purpose of this study is to help us understand how different genera of Lactobacilli and Steptoccous contribute to a balanced oral microbiome and what factors affect them.
Maternal Alcohol Exposure Affects Progenitors of Precerebellar Neurons via Changes in BMP Signaling
Fetal Alcohol Syndrome can result in irreversible behavioral and developmental defects brought about by the consumption of alcohol during gestation. The precerebellar system has a significant influence on the effectiveness of the cerebellum, as it provides information from the spinal cord and cerebral cortex. The purpose of this research is to explore the effects on progenitor cells of the precerebellar system and its relation to BMP activity during ethanol exposure. Alcohol was administered during two time periods and the expression of certain transcription factors were evaluated to study the effects.
Apologies - We had a poor connection so we went ahead with just audio.
The Impact of Oyster Aquacultures on Meiofauna Abundance and D iversity
Meiofauna play a huge role in the marine benthic system, moving energy from within the benthos to higher trophic levels. Meiofauna are a good representation of the health and success of the marine and freshwater environments. An oyster aquaculture is a man-made, in water farm that breeds oysters for commercial use. Seeing the effects of oyster aquacultures can lead to further explanation and discussion about altering the health of our marine and freshwater ecosystems. Meiofauna were measured in close proximity to an oyster grant on Cape Cod. It was found that oyster aquacultures did not impact the meiofaunal abundance and diversity in either a positive or negative way.
Gregory M. John and Daniel Klein
Training a Deep Convolutional Neural Network to Interpret the American Sign Language Alphabet
It is important to distinguish between American Sign Language (ASL) and other dialects and variants of sign language, due to the fact that sign languages evolve organically through usage by various groups of people in the same way that regional dialects and language families develop in spoken language. We demonstrated that a convolutional neural network (CNN) can be trained to interpret the letters of the ASL alphabet from RGB color images of the corresponding hand signs with up to 91% accuracy. A CNN is a type of neural network which is commonly used for image recognition, due to the inherent ability to identify features in an image regardless of where they are located. ASL was chosen instead of other variants of Sign Language for its widespread use and the availability of high-quality data sets which feature ASL.
Understanding the Role of the RNA- Binding Protein STAU2 in Brain Development and Function
STAU2 , an RNA binding protein (RBP) enriched in the brain, is known to have roles in RNA localization, transport, stability and translation. Previous studies have shown that loss of the protein in the brain disrupts the maturation of stem cells to neurons. In this study, mouse models and induced pluripotent stem cell-derived neurons(iPSC) were used to study the role of Stau2 in neuronal development. The results indicate successful removal of Stau2 from the mouse genome, robust expression of Stau2 in mouse brain and iPSC-derived neurons, and deletion or reduction of the gene leads to changes in neuronal numbers and types.
Abigail Kronau and Morgan Percy
The Effects of Juul-pod e-Cigarette Vaping Solution on Human Lung Fibroblast Cells Over a 72-Hour Period Vaping and e-cigarettes have become an increasingly popular and addicting product among young people in the U.S. over the past ten years. In an attempt to help educate the public on the dangers of these products, we conducted a study to see how the vaping solutions and chemicals affected human lung fibroblast cells. Our results show that even after 24 hours, a diluted version of the solution has detrimental effects on lung cell viability.
*Note: Only Abigail Kronau is competing for the Award.
Heterogeneity of Mitochondria Morphology in Breast Cancer C ells
Breast cancer is a heterogeneous group of neoplasms originating from epithelial mammary cell breast cancer has been classified into different sub types and each have different risk factors for incidence, response to treatment, risk of disease progression and preferential organ sites of metastases. However, not enough is known about how these differences between human breast cancer types affect mitochondrial morphology. differences in mitochondrial morphology and function in cancer cells are of key importance for the successful implementation of targeted drug therapy in the clinic.To improve our understanding of the heterogeneity of mitochondrial morphology in breast cancer cells, we have analyzed the morphology of mitochondria in a comparative manner across 2D-culture breast cancer cell systems. Moreover, we used machine learning methods to develop a classification method that can assign each 3D rendered mitochondrial object to their respective breast cancer cell type with good accuracy.