Author(s): Jordan Davis
Mentor(s): Travis Gallo, Envirnomental Science and Policy
Author(s): Jordan Davis
Mentor(s): Travis Gallo, Envirnomental Science and Policy
Author(s): Jackson Kair
Mentor(s): Valerie Olmo, Biology
This project is the culmination of my work over the past six months studying how Danazol impacts the embryonic development of zebrafish. Although most widely used in the treatment of endometriosis, adenomyosis, and fibrocystic breast disease for over 40 years—Danazol has an extensive array of biologic effects as well as diverse clinical applications in the management of countless other diseases and disorders.
My interest in Danazol, however, is due to its role as an inhibitor of adrenal steroidogenesis— the process by which steroid hormones (such as aldosterone, progesterone, testosterone, and cortisol to name a few) are synthesized by the adrenals and the gonads.
In the adult, human model: Danazol suppresses this system through the competitive inhibition of specific enzymes expressed by the adrenal glands. Likewise, once in the bloodstream, Danazol binds avidly to the sex-hormone binding globulin—displacing estradiol and testosterone. The net effect is a significant increase in the amount of testosterone in the body and a decrease in cortisol and other steroid hormones.
My question with this project was: “how do increased levels of testosterone, or the endocrine-disrupting activity of Danazol more generally, affect normal embryonic development?”. Unlike in adults, where these hormonal disruptions are actually therapeutic, I predicted that exposure to Danazol would actually induce a model of the disorders that arise to due to abnormal adrenal ontology and function.
Specifically—because Danazol is a synthetic androgen, or hormone that regulates the development and maintenance of male sex characteristics—I predicted that exposure to the drug would result in virilizing, otherwise known as masculinizing, effects: phenotypes consistent with the intersex condition congenital adrenal hyperplasia (CAH). However, given that Danazol has never before been tested in zebrafish or another live developmental model at this stage— I didn’t have any prior work to ground these preliminary assumptions in.
Over the spring semester, as I conducted pilot studies to identify a non-lethal dosing regimen of Danazol, what I saw turned my hypothesis right on its head. Instead of observing virilizing effects, or phenotypes consistent with CAH—I saw dramatic bradycardia (or a decreased basal heart rate) along with other cardiac deformities, including pericardial and yolk sack edema and blood pooling.
The goal of this project moving forward, and over the summer term, was to repeat the same drug trials, but over a statistically significant sample size—allowing me to quantitatively describe the effects of the drug treatment, specifically the reduction in heart rate.
To conduct my experiment, embryos were obtained from the zebrafish colony housed in the Animal Facility at the Krasnow Center for Advanced Study. Once acquired, any coagulated (or dead) embryos were removed and those that remained were then sorted into four petri dishes such that each contained 75 healthy embryos.
The interrenal gland, the zebrafish organ equivalent to the mammalian adrenal glands, begins to form between 24 to 30-hours-post fertilization (abbreviated to hpf)—and the steroidogenic enzymes bound by Danazol begin to be transcribed at 24 hpf. As a result, I chose to treat the embryos by exposing them to Danazol (solubilized in 5 microliters of DMSO) between 24 to 26 hpf.
Every trial consisted of a control group (egg medium with 5 microliters of DMSO) and three treatment groups (at 0.2, 0.4, and 0.6 micrograms/mL of Danazol). A starting sample size of 300 embryos were used for each trial—and I completed 3 trials over the course of the summer.
Beginning at 72 hpf, one at a time, I recorded a 15-second video of every surviving embryo in all four groups from a lateral view. I then counted the heart rate for each embryo in every video.
Here we can see the results from each of the three trials, which suggests that Danazol does not decrease heart rate in a linear, dose-dependent manner. Heart rate data was assessed using a one-way ANOVA with a post-hoc Tukey-Kramer test for multiple comparisons. This allowed me to determine if there was a statistically significant difference between the test groups, and if so, which.
For all three trials, there was found to be a statistically significant decrease in heart rate between the control group and all three treatment groups—and, with the exception of trial 1, there was no statistically significant difference in heart rate between the three treatment groups. The significant difference between the 0.2 ug/mL and 0.4 ug/mL groups in trial 1 is likely due to experimental error and not attributable to the effects of the drug.
These findings demonstrate that in addition to widely reported accounts of virilization, exposure to androgens during embryonic development poses significant risk for cardiovascular pathology. Future work in this regard may seek to identify Danazol’s mechanism of action in interfering with heart organogenesis by recording data at the 30 and 48-hpf mark to study errors in heart looping and chamber ballooning or directly measuring the levels of steroid hormones in circulation with ELISA assays.
Finally, I would like to thank my mentor Dr. Valerie Olmo—thank you for your constant support and guidance, both with this project and over the course of my senior year. I would also like to thank Dr. Karen Lee and the rest of the OSCAR team for funding my work and giving me this opportunity. And finally—I would like to thank Nathan Ridings for his filming/audio/and editing expertise. Thank you for listening.
Author(s): Molly Izer
Mentor(s): Jennifer Victor, Schar
Author(s): Sally Farag
Mentor(s): Remi Veneziano, Bioengineering
Author(s): Andrey Arcidiacono and Kate Mitcham
Mentor(s): Taylor Hartwell, Criminology, Law and Society
Author(s): Asuka Nuwere
Mentor(s): Anastasia Kitsantas, Educational Psychology, Research Methods, and Education Policy
My research is part of a larger funded project to test the effectiveness of a Student-Engaged Design course. The purpose of this study is to examine teachers’ experiences
implementing an SED course by capturing their perceptions of its function and utility.
Prior Research shows that middle school is a crucial phase in every student’s educational career. Another research suggests that SRL is an important skill that middle school students need to develop to succeed in school, and teachers can be trained to facilitate student’s SRL skills. However, most SRL interventions focus on college students.
Not only does SED teach students how to become self-regulated learners, but it provides educators the tools to support their students by including seven components crucial for effective learning and development. SRL, Motivation, Deep Learning, Curiosity, Growth Mindset, Self-advocacy, and School Connectedness
In my study, I ask three research questions. My first research question is What does an SED intervention look like in middle school classrooms? My second research question is How do teachers perceive the function and utility of the intervention with respect to developing middle school student’s SRL skills? My last research question is To what degree do middle school teachers use the key features of the intervention while teaching?
My method of examining these research questions involves a sample of nine in-service middle school teachers in the rural Mid-Atlantic region of the U.S. The majority of the participants were white and female, and the targeted middle school is a medium poverty level school.
Nine teachers participated in four professional development workshops, and the SED course was embedded in the curriculum. Following their implementation of the course, four teachers were observed for one class period, and semi-structured focus group interviews were conducted on Zoom. Three teachers completed reflections at the end of the academic year.
Data were collected through three different instruments. I used MaxQDA to perform thematic analysis of teacher interviews and reflections. I used descriptive statistics to analyze teacher observation data.
To answer research questions 1 and 2, I coded teacher interviews and found a total of 260 codes. Preliminary results show that all of the key components of the intervention were found in the data. Among the codes, SRL and Deep learning were found most frequently.
Two themes were found through the thematic analysis. Project Learning and SRL skills learning. Project learning refers to student learning by engaging in and working on projects and getting more hands-on learning of the content as they learn. SRL Skills Learning refers to the students learning of SRL skills that will help them manage their own learning.
Here are the sample quotes.
Three main themes were identified as SED intervention function themes. Enhancing Student Motivation, Fostering Collaboration Skills, and Differentiation. Enhancing Student Motivation refers to the impact of teaching style and project-based learning on student motivation. Fostering Collaboration Skills refers to supporting students’ collaborative work
to make progress toward their learning goals. Differentiation. This theme refers to teachers’ awareness of students’ needs despite students not expressing them. Here are the sample quotes for the three themes.
The results of teacher observation show that among all the key components, Student Self-Advocacy and Growth Mindset were found the highest and the SRL performance phase was the lowest. The results showed that teachers dedicated themselves to helping students
speak up, however, teachers did not explicitly encourage their students to use the performance phase, and monitor their progress. Overall, the observers found that teachers were able to develop students’ learning through the intervention.
I coded the teacher reflection data and found a total of 54 codes. Preliminary results show that among the codes, SRL, deep learning, and growth mindset are found most frequently.
Participating teachers indicated that the SED intervention was useful for improving students learning and development. These findings are consistent with prior literature that show
curiosity, self-advocacy, and deep learning improved student learning and performance.
Our preliminary results may have important educational implications for teachers.
Based on the findings, SRL and other crucial components such as deep learning, self-advocacy, and growth mindset were most useful for improving student’s learning and development. Teachers should focus on having students work on projects of student’s choice
and encourage students to apply SRL skills in a practical manner while students are working on projects. Moreover, to enhance student’ motivation, teachers should support students to work collaboratively with peers to achieve goals.
This study has limitations worth mentioning. Some teachers did not provide the end-of- reflections. Participation in this study was voluntary, and the participating teachers may have been already motivated. The generalizability of the findings is limited. The findings of this study should be validated with other samples in the future study.
I am still in the process of finishing all the analysis of our data, but my goal is to disseminate the findings and present them at conferences. I would like to express my special thanks and gratitude to the OSCAR, Dr. Lee, Dr. Kitsantas, as well as my team members who helped me in doing this wonderful project. Thank you for watching.
Author(s): Gwendolyne Fields
Mentor(s): David Luther, Environmental Science and Policy
So, a lot of our cats here are permanent residents. So, this means that a lot of them have come in before the age of 6 months and because of that, their mothers were not able to teach them the proper skills to actually survive in the wild. So, some skills including what prey to hunt, such as duikers, steenboks, springboks, kudus and oryx’s as well as what predators to avoid: lions, snakes and hyenas. And so, a lot of them have actually also been useful for research and understanding more about the species themselves and how to conserve them the best.
So here on our Namibian campus, we have 29 cheetahs and on Somaliland’s facility we have 86 cheetahs. So a lot of these cheetahs have come in at very different ages, so these siblings came to us at the age of four weeks. Others have come in at 5 days, 10 days, so very young. A lot of the cheetahs that have come in were rescued with different scenarios, so some farmers actually might have killed the mothers, some farmers might have captured them and in other cases people have kept the cheetahs as pets as well. So, like I mentioned before, having them here has been very useful for research and also their conservation.
Here are three of our cheetah cubs at CCF who arrived when they were 3 weeks old. Speaking of cheetah cubs for my research project, I have been working with Dr. Laurie marker, and other CCF staff members as well as my mentor Dr. David Luther where I am investigating the comparison of Somaliland and Namibian cheetah cubs growth rates. From data collected back from 2006 until most recently 2022, I have been gathering all this information on a new excel spreadsheet from individuals between the ages 0-6 months.
Other than spending time on my research project, I have been part of the cheetah team working to take care of the cheetahs by feeding them, giving their meds if needed, cleaning and managing their enclosures.
Moving on to the results for the project so far. I have created some graphs as well as produced some statistical analysis of the data through RStudio.
This first graph demonstrates the average weights of Somaliland and Namibian Cheetah cubs from the age of Day 1-14. As you can see there is a linear relationship between the weights and days of the cubs. The R-squared value is around 0.59 indicating a moderate goodness of fit of the model. We notice the Somaliland average weights are less than the Namibian weights. The second graph demonstrates the average weights of Somaliland and Namibian Cheetah cubs from the ages of Week 3-26. The R-squared value of 0.91 demonstrates a very strong linear relationship. Once again, the Namibian weights are larger than the Somaliland weights on average.
The third graph is a boxplot displaying the first two weeks of age. We notice the Namibian data appears to have more range and a higher average weight. The last graph is a boxplot displaying weeks 3-26 of age. We notice the Namibian data appears again to have more range and a higher average weight; however, it appears less robust than the previous graph. Running these last two graphs’ data through R, we found no significance in terms of their weights and comparing them between the two locations. Meaning the p-value was greater than 0.05.
Last but not least, the sum of the weights for all weeks did not appear to have significance with meat and milk consumption, yet the location of Somaliland was significant indicating their cubs are less likely to survive, and the males in general appear to have higher growth rates than females (indicating greater chance of survival).
We still have many questions to answer, such as how much the cheetah cubs grow in general, what month they grow the most and how exactly does diet affect their growth, especially relating between the two locations of cheetahs.
Thank you so much for watching and for everyone who has helped me on my project so far! Bye!
Author(s): Steven Tai
Mentor(s): Hamdi Kavak, Computational & Data Sciences Department
My name is Steven Tai, I am an undergraduate biology major with a concentration in bioinformatics. My research project for OSCAR is about studying the spread of covid-19 using spatiotemporal mapping and phylogenetics
My mentor is Dr. Hamdi Kavak, and he specializes in modeling and simulation, machine/statistical learning, and network science.
For this presentation, I will do a brief overview of the project and go over some key definitions
Next, I will discuss the methods and resources that I’ve used
Then, I’ll show results and conclusions
Finally, I’ll discuss any issues and possible solutions
Let’s start with an overview of the project
Researchers have been coming up with ways of understanding the spread of the disease ever since it start and many have used different methods to predict and track the spread.
As the virus mutates, a phylogenetic tree was constructed to represent it
For this research, it is possible to use spatio temporal data, and mapping with the relations from the phylogenetic tree to gain insight to not only where the strain is but also “from where”?
The data for this project comes from the GISAID Initiative. They are an organization dedicated towards providing fast and large datasets for all influenza and most recently, COVID-19.
They also provide an updated Phylogenetic Tree in Newick format.
Next, we’ll go over the methods
There were the four steps that were taken to preprocess the data and I’ll go over what those are.
Only samples that contain human strains were used.
Data was also filtered for complete dates, with year month and day
The phylogenetic tree was also downloaded from GISAID
Duplicate entries and samples not pertaining to human were filtered out again using a python script.
The Geopy package for python was used to find coordinates of the geolocations
A list of unique geo_location from our dataset was inputted into the script,
the output gives the geolocation names with matching coordinates.
The error list was manually corrected and fed back into the script, while unsalvageable names were discarded
The final corrected list was then saved into a dataframe
An inner join was then performed using the sample data and coordinate data, matching using the unique names of geo_locations.
This will return only matching records of geo locations from both tables, and exclude everything else
The data is then uploaded to a PostGreSql Database, hosted on a local machine, allowing for easy access to the dataset
The phylogenetic tree was parsed from newick format and converted into a dataframe to inner join with the dataset.
These are the number of samples at the start versus the end of cleaning and joining.
We started with 10,697,090 downloaded samples.
After preprocessing and joining, the number comes to 10,524,757 samples.
Finally, we can see the resulting mapping
This is a preview of the mapping of the sample data using a custom program.
The biggest issue is that the program can only take up to 10,000 samples due to memory limitations
Also, there needs to be more inferences of transmission using internal nodes
I’ll now discuss some issues and solutions
Internal nodes infer branching within the tree, but the location of the branching can never be known.
A way we can find the locations is by using ancestral character state reconstruction(ACSR) algorithm.
One such algorithm is ACCTRAN, which does,
a downward pass where it assigns character states from the tips to the root,
and an upward pass that goes from root to tip, reassessing character states.
By assigning the character states using the locations of each known tip, internal nodes can be annotated with the most likely location predicted by the algorithm
Here is a diagram of a proposed pipeline for finding internal node locations
It inputs a newick tree and a list of locations with its leaf edge
Using phangorn’s acctran function, it annotate the internal nodes with the most likely location based on character states
This approach isn’t without it’s issues
When running the full tree, the memory usage was too large.
A possible solution is to split the tree down into smaller ones and run them separately through ACCTRAN.
It was estimated that creating subtrees and running them through ACCTRAN takes about 60 hours total
Another concern is that breaking down the decreases the accuracy of the locations, since the tree could be cut off from other sister clades at different points, preventing comparison between edges. However, given the limited resources this may be a trade off we must accept
There are also other algorithms that could be tested, and could be visited in later research.
That concludes my presentation. I would like to give a big thank you to Dr. Hamdi Kavak for providing excellent mentorship throughout the program. Thank you so much for listening, I hope this presentation gives insight into what I’ve been working on and I hope to continue this research in the future.
Author(s): Samantha Dawkins
Mentor(s): Younsung Kim, Environmental Science and Policy
I’d like to provide you with some background information on the impacts of both food waste and food insecurity, starting with food waste. Food waste in North America releases approximately 193 million tons of greenhouse gas emissions each year, and is the equivalent to each person in North America discarding 915 pounds of food each year. Additionally, food waste takes up 38.6 million cubic meters of space in the landfill each year; where biomaterials, such as produce, are unable to biodegrade, leading to the release of the aforementioned greenhouse gases. $278 billion in market value products are discarded a year, and over $1.8 billion is spent on tipping or discarding fees each year, which is a significant loss for our economy.
Regarding food insecurity, current Virginia SNAP benefits require an individual to be living at or below the poverty line to receive benefits, with the maximum income requirement for a single individual equating the average yearly rent for a one bedroom apartment in Northern Virginia. Researchers Booth and Pollard suggest that food insecurity has socially determinant traits that go unrecognized by local governments. But if able to be recognized, maybe these determinants could assist in the reduction of food insecurity, if support can be provided early on. Additionally, the need for assistance is increasing. The Virginia Emergency Allotment fund is currently serving 435,000 households a month with over $83 million in support. But, when COVID-19 is no longer considered a pandemic this support will be lost.
This concept map shows the food waste flow from grocers and NGOs to individuals who lack food security. From grocers who produce food waste to local NGOs who are able to redistribute edible food waste to individuals facing food insecurity, and inedible food waste going through a compost system prior to noncompostable food waste being sent to the landfill. This will prevent over 90% of food waste from being discarded in landfills and releasing significant amounts of greenhouse gases into the atmosphere.
The current actions being taken in America fail to address the social determinants of food insecurity, holistic & sustainable suggested solutions, or it’s connection to food waste. Senate bill 1383 in California is one of the very first pieces of legislation to address the environmental impacts and health safety issues related to food waste. They plan to reduce majority of their food waste by 2050 by encouraging citizens to use composting services. Additionally, the White House is having a conference on hunger in September 2022, but according to their website they’ve failed to include any mentions of environmental impacts of food waste or hunger, which connects food insecurity to all Americans. Not all individuals can relate to being food insecure.m, which is why it’s important that we connect the issue back to average Americans who do face the impacts of climate change on a day to day basis.
The initial goal of this research was to understand how partnerships between NGOs and corporate entities like grocery stores could be enabled, but many local food distributors already partner with NGOs and nonprofits to donate their excess food waste. But they serve the community with different values in mind. When surveyed 75% of NGO representatives claimed that they felt that environmental impacts of food waste were most urgent to address, while 25% said that the environmental and social impacts were equally urgent. But 100% of grocery store representatives felt that the social impacts were most urgent and were the primary reason why they donated their excess food waste. Corporate donations, such as the donation of excess food waste from grocery stores, can be increased through the expansion of refrigerated infrastructure for nonprofits and anti-hunger NGOs in the area.
My suggested solutions include the expansion of joint use refrigeration infrastructure. Meaning, that local NGOs and anti-hunger organizations can share one primary location to store their excess food, where it can be stored and remain viable for consumption between receiving the food donations and the redistribution of food through the community. My second solution is consistent government supported grants to assist in the management of services of these NGOs. During the COVID-19 pandemic many of these organizations received supplemental financial assistance that encouraged them to expand the communities in which they were serving. But now that the initial urgency of the pandemic has reduced these organization must now stretch their resources to serve the same amount of people that they have been over the past two years. And finally, nutrition and label education, as well as the expansion of financial literacy and workforce development programs will significantly reduce the rates of food insecurity in our local communities. Much of the misinformation about the safety of food comes from a lack of knowledge on nutrition and labels, including but not limited to ‘best by’ labels and expiration dates. And the expansion of financial literacy and workforce development programs allow individuals experiencing food insecurity to expand their skills and further the opportunities that they may be offered, hopefully reducing their likelihood of food insecurity.
Thank you for taking the time to listen to my presentation, if you have any questions or comments please feel free to reach out to me at the email listed below.
Author(s): Cicely Motamedi
Mentor(s): Karen Sauer, Physics and Astronomy
An optically pumped atomic magnetometer is an instrument that detects magnetic fields. It consists of a glass cell filled with alkali atoms placed in a static magnetic field, here labeled B0. The dipole moments of the atoms will have random orientations until a circularly polarized laser, called the pump beam, goes through parallel to the applied field. Light consists of an oscillating electric and magnetic field that propagate through space. If light is circularly polarized, that means the direction of the electric and magnetic fields rotate as the light propagates. When the circularly polarized pump beam goes through the atoms in the same direction as B0, it puts most of the atoms in the same energy state, causing them to line up with the field. There will then be a net magnetization in the direction of the static field. If a radio frequency field is present that matches the resonance frequency of the atoms, the magnetization vector will tip and precess around B0 at the resonance frequency. The resonance frequency is given by the equation ω=γB_0, where ω is the frequency of the atoms’ rotation and gamma is the gyromagnetic ratio of the atoms. The amount by which the magnetization vector tips can be measured with a linearly polarized laser, called the probe laser, placed perpendicular to the static field. This is a laser whose electric and magnetic fields don’t change direction as the light propagates. But due to the Faraday effect, the polarization of the laser will rotate by an amount proportional to the component of the magnetization parallel to the probe laser. This is how radio frequency fields at the resonance frequency of the atoms can be detected by the magnetometer.
Only components of a magnetic field that rotate in the same sense and at the same frequency as the atoms will cause the magnetization vector to tip. Since a linearly alternating magnetic field is equivalent to the sum of two oppositely rotating components, the component that rotates in the same sense as the atoms will cause the magnetization vector to tip, but the other component will not. The magnetometer only sees one of the rotating components. In my experiment, two magnetometers with their atoms rotating in the opposite sense to each other were used to measure both rotating components at the same time. The direction was determined from these two measurements.
I created my test signals by running current through coils of wire that the magnetometers were placed in. I created linearly alternating signals, where the x and y components were in phase with each other, as well as rotating signals, where the x and y components were 90 degrees out of phase.
After the measurements of the test signals were taken with a spectrometer, the data was analyzed in MATLAB. The measurements from the two sensors were combined to find the x and y components of each test signal. The plot here shows the x and y components of each test signal in pT. From left to right, the plots show a signal along the x axis, along the y axis, along a line 45 degrees up from the x axis, along a line 45 degrees down from the x axis, rotating counterclockwise, rotating clockwise, and again along the x axis. The plot correctly shows the real and imaginary components of signals with these directions, in agreement with the way the test signals were designed. Using the measurements from the two magnetometers allowed me to correctly identify the directions of my test signals.
I would like to thank my mentor, Dr. Sauer, and I’d like to thank OSCAR for funding my research. Thank you for watching my presentation.
Author(s): Hana Khan
Mentor(s): Joel Martin, Marcie Fyock-Martin; Kinesiology
Abstract: Firefighting involves high intensity work and requires firefighters to maintain optimal levels of health. Unfortunately, due to the nature of their occupation, firefighters’ sleep, diet, and physical activity (PA) are often compromised, contributing to low aerobic fitness.
Purpose: To determine how sleep, PA, and diet behaviors contribute to low respiratory fitness in U.S firefighters. Methods: Participants included [10 males, 3 females, age: 36(30, 41), years of service: 14(10, 18), height(cm): 181.9(177.5, 185), mass(kg): (122.4(109.6, 121.7)] and needed to be Prince William County Firefighters and have no prior history of CVE, pulmonary, renal, and metabolic disease. Participants took a diet (REAP-S), sleep (PSQI), and PA survey (IPAQ-SF). Anthropometric measurements were taken using a BOD-POD®. The 3-minute step test was used to determine aerobic fitness. A Mann-Whitney U test with a p value of 0.05 was used to determine significant variables between two groups: those who performed poorly on the step test versus those who performed above poor. Effect size was calculated using Glass rank biserial correlation coefficient. The project was exploratory, so alpha was set to <0.01. Results- Variable(W-score, p-value): BF %(15, 1), PSQI(18.5, 0.6086), REAPS(18.5, 0.6066), and MPA(21, 0.3458), LPA (18, 0.6709), and Sitting time(12, 0.6709) FFM(11, 0.5541) showed no significant differences between groups. However, FM(4, 0.07593) and VPA(29, 0.02139) were statistically different between the groups. Conclusion: Post- statistical analysis showed that only VPA(29, 0.02139) and FM(4, 0.07593) were statistically different between the two groups. Vigorous physical activity is necessary in firefighters given the intense nature of their work. Excess fat mass is also a hindrance to performance and health as it can increase risk for cardiovascular events. Fire stations need to work towards implementing fitness programs to sustain firefighter aerobic fitness.[/expand] [expand title="Audio Transcript"]Hello! My name is Hana Khan. I'm currently an undergraduate student at George Mason and I am majoring in Community Health with a concentration in Nutrition. I'm so excited to share my research question with everyone that I worked on during my Summer Team Impact Project. So, my research question is: How do sleep, physical activity, and diet contribute to aerobic fitness in U.S. firefighters? You might be wondering, why is this an important or relevant question to ask? As I spent time in the project, it became apparent to me that many firefighters are not able to maintain healthy fitness levels, despite often having to perform physically difficult tasks. Their sleep, diet, and physical fitness levels have been shown in numerous studies to be sub-optimal, and studies have pointed to correlations between these three. Research has shown that aerobic fitness is especially important in firefighters- and yet, many do not have the required fitness levels needed to safely perform their jobs. It turns out, CVD is a leading cause of death in firefighters, most likely due to their work duties. Aerobic capacity is also correlated to CVD, where a low capacity means a higher risk. So I really wanted to focus on that with this topic. There were 13 participants in total, and their specific demographic information is listed on the slide under the methods section. The participants took a few surveys to assess their diet, sleep, and physical activity status. They then had some measurements taken, such as height, weight, body fat, etc. And finally, they performed a three minute step test, which is essentially a test that is used to determine aerobic fitness that involved stepping on and off plates raised to 12 inches to a metronome set to 96bpm. We divided the participants based on how they performed on the 3 minute step test. So one category was for those who performed poor, and one was for those who performed above poor. So after looking at all these variables from the surveys and measurements as seen in the table, and running them through a Mann-U-Whitney test, we found that only Vigorous Physical Activity (which we got from the physical activity survey) and Fat Mass (which we got from the anthropometric measurements) were significantly different between these two groups. Now, I will say that a limitation of this study is definitely that the surveys have self reported values, which means the participants may over or underestimate their responses. However, it cannot be ignored that fat mass and vigorous physical activity are both very important to firefighter fitness and performance. Vigorous physical activity is needed on the job when climbing and carrying things is needed, and excess fat mass can be a hindrance to performance and also increase CVD risk. Thus, I believe it would be beneficial for fire stations to provide individualized fitness programs aimed at targeting aerobic fitness and keeping firefighters active instead of launching them into a physically intense situation from a very low active situation. That's all from me, thank you for listening and I hope you gained something valuable from this presentation![/expand]
Author(s): James Condo, Adam Edwards, Domi Hannon, Sara Jefferson, Brian Jimenez, Paloma Jimenez, Maiya Justice, Guadelupe Meza-Negrete, Jasmine Okidi, Patricia Troup
Mentor(s): Jeremy Campbell, Institute for Sustainable Earth; Tom Wood, School of Integrative Studies
Sara: Soo my name’s Sara Jefferson, I’m a member of the Chickahominy Indian Tribe, and I’m also a student here at Mason studying psychology, and I’m also a team member of this STIP project going on here down in Charles City.
Dana: Some of the deliverables we are hoping to get from this project are maybe introducing us to some methods that can help us to see what lands we have, understand what’s there, what’s not there, and how to best utilize those lands so that as we grow, we can have growth that’s environmentally friendly.
Sara: To me, sovereignty means kind of taking back what was already ours, if that makes sense, being that we were one of the first tribes to have direct contact with the colonizers back in 1607, and so much of our culture was lost and we weren’t able to get all of that back, but now that we are a sovereign nation, we are able to get these tools that we once lost back in an easier manner, if that makes sense.
[A group of four undergraduate researchers are standing against a white wall]
Domi: Our project, the Indigenous Environmental Mapping and Resilience Planning Project, has been working over the summer with two of the federally recognized Native American tribes of Virginia – the Chickahominy Tribe and Upper Mattaponi Indian Tribe. Our overall goal has been to establish environmental data baselines for the two tribes, using specific guidelines given to us by the tribe’s environmental offices.
Guadelupe: Since the beginning of our relationships with the tribes, we’ve focused on maintaining tribal sovereignty over data and knowledge, as historically, Western academia has participated in an exploitative, extractive one-sided relationship with Indigenous tribes and their knowledge across North America, also known as Turtle Island.
Patti: Having a reciprocal relationship built on trust and honoring Indigenous knowledge is key to our project – we want our work with the Chickahominy and Upper Mattaponi to be additive and beneficial to the tribes. By participating in this work, we are attempting to decolonize academia and environmental studies.
Adam: An important part of our research has been honoring Indigenous data sovereignty – that means not everything we’ve worked on over the summer we can show, as the tribes do not want all data available for access to non-tribal members.
[Footage of the Powhatan River]
Dana: The site we’re standing on now is a piece of property that we have named “Chickahominy on the Powhatan.” Uh, this would have been a traditional village site, uh, the rivers uh in the state served as great village sites for the tribes. Uh, the tribes in this state are actually known as tributary tribes because of our villages being along our namesake rivers. Uh, this particular river would have been called the Powhatan River, pre-contact. Uh, post-contact it was renamed the James River.
[A single undergraduate researcher stands with a glass door behind her, with different screenshots interlayed over her at different points in time]
Jasmine: Indigenous and settler scholars Eve Tuck and K. Wayne Yang explore how the metaphorization of the term “decolonization” has strayed the operational form of the word away from the objectives of Indigenous rights and sovereignty. This metaphorization may look like conflating decolonization with other social justice movements. This metaphorization may also manifest in “settler moves to innocence,” or methods of alleviating settler guilt from Indigenous erasure and forced assimilation. This is achieved by creating distance from the settler to the system of settler colonialism without actually absolving themselves of oppressive power or returning stolen land. Rather than falling into these inappropriate comparisons or settler moves to innocence, it is important that we recognize decolonization as a distinct project on the repatriation of Indigenous land and lifeways. For our project, that means challenging the structures of settler society by supporting Indigenous environmental stewardship and ensuring Indigenous sovereignty over data and, crucially, guiding our work with the stated goals and values of the respective tribes with which we are working.
[Three different voice overs over footage of Chickahominy lands as well as the Potomac Heights Community Garden]
Paloma: Over the summer, we have been working closely with Dana Adkins, the Tribal Environmental Director of the Chickahominy. He’s been working on establishing community gardens for the tribe to ensure healthy living for tribal citizens. With Dana, we’ve been working on establishing food sovereignty for the tribe through these community gardens as well as creating a curriculum on how to teach food sovereignty and the issues of food deserts and accessibility.
Patti: Food sovereignty is the right for peoples, especially native peoples, to have access to healthy, environmentally sound, traditional food. This includes both the ability to cultivate, harvest, and consume those foodways. Food sovereignty does not listen to market demands, but instead, focuses on the need of the people of the respective culture. Food sovereignty is being used across Turtle Island and worldwide to combat food deserts. Food deserts are when an area has a rate of poverty exceeding 20%, with rural folks being unable to access a large grocery store within ten miles of their home. The area in which the majority of the Chickahominy people live in is considered a food desert. The community garden and eventual future gardens established by Dana will help combat the lack of access to healthy, in-season food.
Maiya: One of the ways our team has worked on the community gardens is through research at George Mason University’s own community gardens, maintained by the Office of Sustainability. Guided by Doni Nolan, the Sustainability Program Manager for the Gardens and Greenhouse, we gained insight and ideas to present to Dana on working on the garden to best benefit the citizens of the Chickahominy nation.
Dana: Well we received a grant from the EPA this year to start a community garden. We as a tribe have gotten away from gardening, as a general rule. Like most of society we live fast paced lives and we rely more on fast food and prepared food, rather than stuff than we would have cultivated ourselves out of our gardens and cooked at home. The thought behind having the community garden was to kind of reintroduce some of those gardening techniques to our youth before it’s lost. We also have, like other communities, we have seen an increase in diseases such as diabetes and we feel this is probably attributed, again, to too much fast food, not enough of the foods that we grow ourselves, that are generally healthy, uh foods that you’d want to consume.
[An undergraduate researcher walks along a green path and his voice is overlaid with footage from Chickahominy lands]
For the Chickahominy, we also began collecting data on the wildlife on the lands that currently have regained ownership over. The two lands, Chickahominy on the Powhatan, or James River, and Mamanahunt on the Chickahominy River, were both recently (re)acquired through purchase by the Chickahominy. We participated in a bird survey, led by Dr. Wood, and collected data on the birds, other animals, insects, as well as the flora growing on the Chickahominy properties. We also conducted basic water monitoring from the Powhatan, or James River, and the Chickahominy River as well. One of our deliverables will be an ethnobiology booklet focusing on a select number of native flora and fauna.
[Footage from the Upper Mattaponi Powwow of Women’s Fancy Shawl Dancing]
Domi: Our work with the Chickahominy tribe of Charles City, Virginia in food sovereignty and wildlife data collection is only part of what we’ve been doing this summer – check out our second video to learn more about our mapping efforts with both the Chickahominy and the Upper Mattaponi Indian Tribe!