NCUR 2021 Proceedings Tau Pathology and Recurrent Seizures in Experiment Model of Epilepsy Biology - Time: Mon 3:00pm-4:00pm - Session Number: 2647 Name of Author: Candide Mafuta Faculty mentor: Thimmasettappa Thippeswamy Ph.D. Graduate Student Mentor: Marson Putra Department of Biomedical Science, College of Veterinary Medicine, Iowa State University, Ames, Iowa 50010 Address: 2036 Vet Med Telephone: 515-294-2571 Candide Mafuta ABSTRACT Epilepsy is a neurological disorder that causes individuals to have recurring seizures. It can affect people of all ages, with an increased incidence reported in both young and elderly populations. Approximately 50 million people worldwide are affected by epilepsy (Epilepsy. (n.d.)). As some individuals with Alzheimer's disease (AD) also experience seizures, AD and epilepsy have been reported to share some commonalities in brain pathology mediated by hyperphosphorylated Tau (Putra et alt., 2020). Therefore, it is necessary to understand whether hyperphosphorylated Tau is associated with the seizure symptomology in seizures-related disorders, specifically epilepsy. In this study, telemetry implanted rats (animal model) were challenged with kainic acid to induce seizures. Recurring seizures and spikes were monitored 24/7 for a 3 to 4 months period. The number and duration of seizures and spikes were then quantified using the NeuroScore software. At the end of the telemetry study, rat’s brains were harvested and processed for immunohistochemistry to assess Tau's pathology. The results demonstrated a direct correlation between increased hyperphosphorylated Tau and seizure occurrence using a linear regression model. This study aimed to understand whether hyperphosphorylated Tau can be used as a biomarker to assess seizure outcomes in individuals with epilepsy. Thus, this study may contribute to the betterment of seizure management and design specific interventions to target Tau in epilepsy. Reference Epilepsy. (n.d.). Retrieved November 30, 2020, from https://www.who.int/health-topics/epilepsy Putra, M., Puttachary, S., Liu, G., Lee, G., & Thippeswamy, T. (2020, November 16). FYN-TAU ABLATION MODIFIES PTZ-INDUCED SEIZURES AND POST-SEIZURE HALLMARKS OF EARLY EPILEPTOGENESIS. Retrieved December 01, 2020, from https://www.frontiersin.org/articles/10.3389/fncel.2020.592374/abstract ABSTRACT Epilepsy is a neurological disorder that causes individuals to have recurring seizures. It can affect people of all ages, with an increased incidence reported in both young and elderly populations. Approximately 50 million people worldwide are affected by epilepsy (Epilepsy. (n.d.)). As some individuals with Alzheimer's disease (AD) also experience seizures, AD and epilepsy have been reported to share some commonalities in brain pathology mediated by hyperphosphorylated Tau (Putra et alt., 2020). Therefore, it is necessary to understand whether hyperphosphorylated Tau is associated with the seizure symptomology in seizures-related disorders, specifically epilepsy. In this study, telemetry implanted rats (animal model) were challenged with kainic acid to induce seizures. Recurring seizures and spikes were monitored 24/7 for a 3 to 4 months period. The number and duration of seizures and spikes were then quantified using the NeuroScore software. At the end of the telemetry study, rat’s brains were harvested and processed for immunohistochemistry to assess Tau's pathology. The results demonstrated a direct correlation between increased hyperphosphorylated Tau and seizure occurrence using a linear regression model. This study aimed to understand whether hyperphosphorylated Tau can be used as a biomarker to assess seizure outcomes in individuals with epilepsy. Thus, this study may contribute to the betterment of seizure management and design specific interventions to target Tau in epilepsy. Reference Epilepsy. (n.d.). Retrieved November 30, 2020, from https://www.who.int/health-topics/epilepsy Putra, M., Puttachary, S., Liu, G., Lee, G., & Thippeswamy, T. (2020, November 16). FYN-TAU ABLATION MODIFIES PTZ-INDUCED SEIZURES AND POST-SEIZURE HALLMARKS OF EARLY EPILEPTOGENESIS. Retrieved December 01, 2020, from https://www.frontiersin.org/articles/10.3389/fncel.2020.592374/abstract A Spatial Analysis of Socio-economic Characteristics and COVID-19 Cases in California’s Counties Health & Human Development - Time: Tue 3:30pm-4:30pm - Session Number: 5131 Alexandra Bohlin, Monica Haddad, Department of Community and Regional Planning, Iowa State University, College of Design, 715 Bissell Rd, Ames, IA 50011 Alexandra Bohlin The Coronavirus pandemic has severely affected people worldwide, but disparities for Black and Latino infections continue to increase with each day in the United States. To illustrate, data indicate that for coronavirus cases per 10,000 people, 73 are Latino, 62 are Black, and 23 are White in the U.S. Higher dependence on public transportation, small or multigenerational homes and front-line jobs put these races at higher risk of infection. Moreover, one study in Michigan found that while Black and Latino people only make up 20% of Kent County’s population, they account for 63% of infections, proving that disparities do not exist only in completely urban settings. Even though the state of California is not ranked very high among all American states, Imperial County, located in the southern part of the state, is currently one of the highest in the country, with 7,195 per 100,000 cases and 186 per 100,000 deaths. Within this context, this study will have two main objectives. First, it will explore the spatial distributions of several socio-economic variables, including race, and COVID-19 infection and death rates at the county level in the state of California. Second, it will focus on Imperial County and Riverside County, which is located to the north, but has only with 2,760 per 100,000 cases and 53 per 100,000 deaths. This intra-county focused analysis will bring more detailed variables in order to compare these two counties that even though are neighbors, have such a difference when it comes to Coronavirus cases. This study will provide information for planners in communities that have similar socio-economic makeup and can ultimately aid the livelihoods of the people who reside there, especially during situations like the current global crisis. Attention will be given to the fact the Imperial County is located in the US-Mexico border. The Coronavirus pandemic has severely affected people worldwide, but disparities for Black and Latino infections continue to increase with each day in the United States. To illustrate, data indicate that for coronavirus cases per 10,000 people, 73 are Latino, 62 are Black, and 23 are White in the U.S. Higher dependence on public transportation, small or multigenerational homes and front-line jobs put these races at higher risk of infection. Moreover, one study in Michigan found that while Black and Latino people only make up 20% of Kent County’s population, they account for 63% of infections, proving that disparities do not exist only in completely urban settings. Even though the state of California is not ranked very high among all American states, Imperial County, located in the southern part of the state, is currently one of the highest in the country, with 7,195 per 100,000 cases and 186 per 100,000 deaths. Within this context, this study will have two main objectives. First, it will explore the spatial distributions of several socio-economic variables, including race, and COVID-19 infection and death rates at the county level in the state of California. Second, it will focus on Imperial County and Riverside County, which is located to the north, but has only with 2,760 per 100,000 cases and 53 per 100,000 deaths. This intra-county focused analysis will bring more detailed variables in order to compare these two counties that even though are neighbors, have such a difference when it comes to Coronavirus cases. This study will provide information for planners in communities that have similar socio-economic makeup and can ultimately aid the livelihoods of the people who reside there, especially during situations like the current global crisis. Attention will be given to the fact the Imperial County is located in the US-Mexico border. Accounting for Seasonality in Intraday Volume for Forex Volatility Measures Mathematics - Time: Tue 5:00pm-6:00pm - Session Number: 5588 Devin Scott and Dr. Tingting Liu, Department of Finance, Iowa State University Ivy College of Business, 2200 Gerdin Building 2167 Union Drive, Ames IA 50011-2027 Devin Scott Volatility measures are a critical part of understanding any financial market. However, because some markets do not close in the evenings, volatility measures that work for 8-hour markets are not sufficient in measuring and predicting the volatility of 24-hour markets. Specifically, this project will seek to address the seasonality in volatility that comes from the varying degrees of volume throughout the 24-hour foreign exchange market trading day. Statistical methods used in other areas will be applied to the volatility indicator known as average true range, a technical analysis tool that is used to track and predict the difference between a trading period’s high and low by taking a running average of previous periods’ differences. Using the pairs EUR/USD, USD/JPY, GBP/USD, USD/CHF, and USD/CAD with 10 years of intraday historical data for each pair, the project will attempt to deseasonalize the time series data and build a better model