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Ovarian cancer metastasis: The role of ULK1 in downstream signaling in mitochondrial plasticity
Under the direction of Dr. Eva Schmelz, Virginia Tech, Blacksburg, VA Coordinated by Dr. Mary Jane Carmichael Ovarian cancer is the deadliest gynecological cancer in women, reported as the fifth leading cause of cancer related deaths in women. With a survival rate of less than 30%, it is a genetically and histologically heterogenous disease and the most aggressive serous ovarian cancer is now thought to originate in the epithelial cells of the fallopian tubes. Ovarian cells exfoliate from their primary tumors and are disseminated throughout peritoneal cavity. Previous studies from our lab show that cancer progression and hypoxic conditions promote reversible changes in mitochondrial morphology in mouse cells and human cell lines that provide the capacity to adapt to the changing tumor microenvironment. Mitochondrial plasticity and mitophagy have been linked as critical events for the survival of disseminating metastases. Ulk1 is a kinase crucial for the activation of autophagy in cells upon exposure to cellular stress like nutrient deprivation or hypoxia. In this study we use mouse models of ovarian cancer progression that represent benign (MOSE-E,) cells, slow-developing (MOSE-L) and fast-developing disease (MOSE-LTICv) to study the impact of mitophagy on cancer cell survival. We aim to generate ULK1 defective ovarian and fallopian tube cell lines to discriminate between the impact of loss of function of ULK1 in cancer cells vs whole body for in vitro and in vivo studies
Tau-indifferent parking functions
Under the direction of Dr. Molly Lynch
Parking functions have been well-studied for many years. Parking functions involve n cars, each with a preferred parking spot on a one-way street. Each car will try to park in its preferred spot but will take the next available if their preferred spot is taken. We introduce and study Tau-Indifferent Parking Functions, denoted -Indiff., where one or more cars have no preference and will park in the first available spot. We will discover when a preference vector becomes a -indiff parking function and how many -indiff parking functions exist. By testing this rule, we are examining new topics within the field. We have found that the order of the preference vector does not affect the determination of the parking function, but it does affect the outcome vector
Discriminative VS Generative Classification Models : Classify Music Genres In A Spotify Dataset
Under the direction of Dr. Giancarlo Schrementi
Music genres are typically categorized based on auditory characteristics, but some genres, such as sleep, chill, ambient, and study music, share striking similarities. This paper aims to provide insights into the mathematical differences underlying genre distinctions. Initial exploratory data analysis is performed on a dataset from Spo- tify that contains numeric measures for tracks across these four genres and statistical differences are noted. Three classification models, a discriminative model (Logistic Re- gression) and two generative models (Linear Discriminant Analysis and Naive Bayes) are trained and then used to predict the genre of novel tracks. All the models are able to distinguish the genres, but have different patterns of error. These modeling results demonstrate that there is a measurable mathematical difference between the genres
Globally cross-examining case studies of refugee resettlement: How do these help us understand “successful” refugee integration? A look at refugees and how they are resettled in the USA, Canada, and Italy.
The world’s refugee crisis is ongoing and increasing in severity. By employing a thematic analysis this thesis seeks to center refugee perspectives to define success in resettlement. Through comparative analysis, commonalities and differences are found within the resettlement practices and policies of the USA, Italy, and Canada. The Integrated Threat and Cultural Adaptation theories are utilized to help understand the actions of both the receiving society and the refugees themselves. Canada remains a top destination for refugees; however, the worsening housing crisis is proving to put significant hardship on refugees. The US refugee resettlement program is contradictory in that it prioritizes accepting the most vulnerable refugees while expecting them to be work-ready upon arrival. Further, the US provides an insufficient amount of assistance (in regard to duration) during resettlement. The Italian Humanitarian Corridors Program is a groundbreaking initiative that proves successful but presents conflicts when trying to expand. Drawing on qualitative and quantitative data from resettlement case studies in each country, the analysis reveals that consistent gaps remain in addressing systemic barriers and personal needs
O.D.A.C. Team 1998, Randolph College
ODAC Team 1998 at Randolph College. Jennie Bershon \u2799 on Higher Power, Celia Sweeney \u2799 on Straight Up, Erica Double on One for the Road, Hillary Schreiber \u2700 Nancy Peterson\u27s Miss Irishttps://digitalcommons.hollins.edu/riding/1130/thumbnail.jp
Unknown Rider, Speakeasy
Speakeasy and Unknown rider, black and white image.https://digitalcommons.hollins.edu/riding/1098/thumbnail.jp
Kelly Douglas \u2794, Honor Code, 1993
Roanoke Valley Horse Show Champion, Kelly Douglas \u2794 on Honor Code.
Handwritten Label: Honor Code, Kelly Douglas \u2794, Rider + Owner - Hollins College, Trainers: Liz Courter, Nancy Peterson
Printed Label: Honor Code SWVHJA Working Hunter Champion, Hollins College, Kelley Douglas Rider (Pictured) Class of 1994https://digitalcommons.hollins.edu/riding/1143/thumbnail.jp
Hillary Schreiber \u2700, Small Talk
Hillary Schreiber \u2700 on Small Talkhttps://digitalcommons.hollins.edu/riding/1151/thumbnail.jp
Lizzie Ranzo \u2716, Tinker Mountain, Virginia Horse Center, Photo 2
Lizzie Ranzo \u2716 on Tinker Mountain at Virginia Horse Centerhttps://digitalcommons.hollins.edu/riding/1170/thumbnail.jp