OSCAR Celebration of Student Scholarship and Impact
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College of Humanities and Social Science Undergraduate Research Scholars Program (URSP) - OSCAR

Immigrant Advantage and Paradox in Middle School Academic Outcomes: Region/Country of Origin Effects

Author(s): Ulda Maldonado-Arias

Mentor(s): Adam Winsler, Developmental Psychology

About a quarter of children in the United States descend from Hispanic, immigrant families who migrated to the United States in search of a better life. “Immigrant advantage’ refers to immigrant students doing better on various educational or health outcomes compared to native US-born children despite being exposed to more risk factors (i.e., poverty, low parental education, discrimination, trauma). “Immigrant paradox” refers to the observed pattern of immigrant advantage becoming smaller over time or across generations, i.e., 2nd generation children not doing as well as 1st generation children. Most studies in this area group all immigrant families together, failing to explore potential differences in child outcomes as a function of country/region of origin. This study explores whether academic outcomes for immigrant students vary depending on country/region of origin, using existing data from the Miami School Readiness Project, a large-scale, 14-year longitudinal study of children attending Miami Dade County Public Schools. In a subsample of students with parent and parent nativity data (n =2,655), 2,358 are 1st gen. (born outside US), 305 are 2nd gen. Further, 1,329 came from Cuba, 348 from Central America, 595 from South America, and 383 from Non-Cuban Caribbean islands. Outcome measures in 3rd, 5th, and 8th grade include GPA, standardized math and reading scores, grade retention (Y/N), attendance, and school suspension (Y/N). Controlling for poverty status, disability status, gender, and English proficiency, ANCOVA analyses demonstrated region/country of origin effects in grades 3, 5 and 8.
Region/country of origin effects were observed in all grades (3, 5 & 8). The overall pattern showed that there was country/region of origin variation, generational differences and an interaction between the two. This adds to the growing body of literature that highlights Immigrant education.
Hello,

My name is Ulda Maldonado-Arias, and I will be presenting my research study titled. Immigrant Advantage and Paradox in Middle School Academic Outcomes: Region/Country of Origin Effects. I am a 2nd generation immigrant from Honduras and have decided to take on this research project because of the growing observation of immigrants in the United States. Let’s start off by defining the phenomenon of immigrant advantage and paradox. The immigrant advantage refers to positive outcomes in health, education and behavior associated with immigrants, when compared to U.S.-born counter parts. Despite this advantage a paradox exists which states that the more assimilated immigrants are to the U.S. mainstream culture, the worse they perform than the first-generation immigrants. Research tends to compare immigrants to U.S.-born counter parts and don’t do much within immigrant group investigations. Also, there has been some studies that observe variation of immigrants based on ethnicity/race and country/region of origin.
Therefore, I decided to look at country/region of origin effects to fill in a gap in the research using the Miami School Readiness Program data. It is a 14-year longitudinal 5-cohort project of students in Miami Dade County. I had 3 research questions which observed country of origin effects, generational differences and interaction between generational differences and country of origin effects that were then associated with academic outcomes of the students attending Miami Dade County schools in grades 3,5 and 8. The results demonstrated variation in the region/countries. The regions to show the lowest performance were Central Americans and Non-Cuban Caribbean’s. On the other hand, Cubans and South Americans outperformed both regions. When looking at generational differences, it was clear that there was a paradox because at all academic outcomes and grade levels 1st generation students outperformed the 2nd generation students. For the final question, there was little interaction that showed generational differences within the region/country of origins. Yet, there is an effect observed in Cubans, 1st generation Cubans perform higher than 2nd generation Cubans. These 2nd generation Cubans then underperform all other region/country of origins. The conclusions of the questions were that there is region/country of origin effects, and an immigrant paradox exists within generations and region/country of origins.
Furthermore, this research helps with identifying what programs can be implemented for immigrants in the United States. This can help with shedding light to educational boards on how to appropriately teach immigrant children as they are assimilating to the United States. Not all students can be uniformly taught or taught the American way because as you can see it is hurting them and not helping them.
Thank you for listening,
I’d like to acknowledge, Dr. Adam Winsler, Dr. Jeniffer Breilmeir, Dr. Dae K Young, OSCAR funding and Winslab

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College of Engineering and Computing Undergraduate Research Scholars Program (URSP) - OSCAR

Jasmine Obas URSP Presentation

Author(s): Jasmine Obas

Mentor(s): Kevin Moran, Volgenau School of Engineering

Automate Bug Reporting in Mobile Applications

The reason for this research is to provide a middle ground between developers and their users. Bug reporting is the biggest means of communication in improving software and increasing user satisfaction. The underlying issue is that users that don’t have technical background do not know how to address issues to their developers. It’s a language barrier and it can’t require users to just “become more technical” they need assistance.

The problem we are solving is the development of bug reports from users by giving them assistance through automation. Having a source that can take them through the steps of creating a strong bug report by covering the three main components developers look for and need. Those components are Observed Behavior (OB), Expected Behavior (EB), and Steps to Reproduce (S2R). The source we are developing is an automated chatbot currently called BURT, that can communicate with the user and give them user friendly tools to write and submit their report. To develop this chatbot we’re using Machine Learning tools such as Text Semantics, Image Recognition, and more to collect data on bug reports on various applications. Finding the weakest area can allow us to train the bot in those areas along with user testing feedback. Other approaches we’re implementing are using user reviews and bug reports on mobile applications to conduct data analysis and provide proof of the problem as well as giving us the basis of what our chatbot needs.

Hi guys my name is jasmine Obas, I am currently a Senior at George Mason University majoring in Applied Computer Science with a Concentration in Computer Game Design. I’m participant in the OSCAR URSP program 2022. Now, funny enough just as long as my major, my research is in Automating Bug Reports and Mobile Applications. This is all done under the direction of my mentor Dr. Kevin Moran. Now, before I go into the details of our research, I did want to explain what a bug report is for those of you who may not know. Now, a bug report is on the developer side and when we’re talking mobile applications we’re talking about your favorite apps like Facebook, Instagram, Tik Tok. All of them have developers that give bug reports from people like you, the users. Uh, it’s a place where you can report bugs and other issues as well as areas of improvement but, unfortunately bug reports for developers are just as pesky and annoying as mosquitoes at the summer barbecue and standing motionless is not going to make these bugs go away. Of course, that’s where our research comes in, we don’t want to just automate bug reports we want to automate good bug reports. So of course we had to figure out (chuckles) what makes a bad bug report we found out that developers are looking for three key components in a bug report. The observed behavior, expected behavior, and then steps to reproduce. So we collected data sets on user reviews and bug reports and were able to tag them based on the components they used. We found observed behavior was used an excessive amount while the other two not so much and then we also use machine learning models to be able to catch spelling mistakes , missing punctuation, even scoring the understanding and readability of the text with perplexity which is basically a machine learning model that was meant to represent uh, human understanding. So, if it gave you a low score that meant the sentence was completely surprising and it had no idea what you’re trying to say a high score means it was a well-structured sentence. We’ve been able to use this data to develop a bot, that’s where the automation comes in. We have a bot named B.U.R.T and we have a demo that we’ve been able to use with live users and they’ve been able to go through a full bug report process with the chatbot and it’s been able to make them highlight all three of the components that developers are looking for. Not only that we actually added a nice friendly feature using images where the steps were reproduced instead of typing out step by step they can actually get live images of the GUI components for the application they’re making the report for and make step-by-step images to reproduce the problem. With that, I would like to thank again my mentor, Dr. Kevin Moran and OSCAR for this opportunity, thank you for listening in.
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College of Engineering and Computing Undergraduate Research Scholars Program (URSP) - OSCAR

Making a More Efficent Coolant

Author(s): Noah Lechner

Mentor(s): Jeffrey Moran, Mechanical Engineering

My Name is Noah Lechner
This semester I was able to work on a project with the Mechanical engineering department to make a more efficent Fluid. I worked with Dr. Moran working to make a more efficent Coolant. The funding for this semester came from OSCAR, URSP making it possible to do the research. The motivation for this research comes from the large amount of power that data centers use, they use over 90 billion kilowatts an hour. This amounts up to 3% of all power usage for the country. The hope is to make a more efficent coolant that these data centers can use to decrease the amount of power usage. I worked on the designing the testing devices for the experiment. I used 3D printers this semester for the Devices.
The experiment took place with the use of a syringe pump regulating the flow of the fluid through the microfluid device, we also tested different channel widths and lengths to see the effect of the Temperature out pf the device. The hope is to see a much higher temperature with micro swimmers swimming in the fluid making the fluid more efficent. We found that through the experimental testing the channel with a longer length has a higher output temperature as well as if the channel has a greater width. If we have a higher flowrate, we see that there is a lower temperature output. We still have more testing to do, we are hoping to have more results with using micro swimmers before the end of the semester.
My Name is Noah Lechner
This semester I was able to work on a project with the Mechanical engineering department to make a more efficent Fluid. I worked with Dr. Moran working to make a more efficent Coolant. The funding for this semester came from OSCAR, URSP making it possible to do the research. The motivation for this research comes from the large amount of power that data centers use, they use over 90 billion kilowatts an hour. This amounts up to 3% of all power usage for the country. The hope is to make a more efficent coolant that these data centers can use to decrease the amount of power usage. I worked on the designing the testing devices for the experiment. I used 3D printers this semester for the Devices.
The experiment took place with the use of a syringe pump regulating the flow of the fluid through the microfluid device, we also tested different channel widths and lengths to see the effect of the Temperature out pf the device. The hope is to see a much higher temperature with micro swimmers swimming in the fluid making the fluid more efficent. We found that through the experimental testing the channel with a longer length has a higher output temperature as well as if the channel has a greater width. If we have a higher flowrate, we see that there is a lower temperature output. We still have more testing to do, we are hoping to have more results with using micro swimmers before the end of the semester.
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OSCAR Top Presenter School of Business Undergraduate Research Scholars Program (URSP) - OSCAR

Marketing Sustainability through Mobile Gaming

Author(s): Yasmin Jubran

Mentor(s): Professor Anne Lauer, School of Business

Previous studies have indicated that awareness is one of the most important tools to positively influence people and their behaviors. This information has inspired my research project titled Marketing Sustainability through Mobile Gaming, which aims to study whether mobile gaming is an effective way to raise awareness. In this video, I go over my three-year research journey and the obstacles I’ve faced. I also discuss new insights I’ve learned this semester and the future steps required to finish this project.
We all have a responsibility to ensure that what we’re doing isn’t hurting the beautiful planet where we live. But what if we don’t know how to be sustainable?

Hello everyone, my name is Yasmin Jubran and I’m currently working with my mentor Professor Anne Lauer on a research project titled marketing sustainability through mobile gaming.
When I was doing the literature search for this three year-old project, I’ve found out something very concerning: students aren’t aware about on-campus sustainability initiatives. In 2021, I did an informal survey that asks students about their awareness of current sustainability programs on-campus. Out of the 83 anonymous responses only 19.3% answered ‘Yes’. This percentage was derived from people who cared enough about sustainability to answer the survey. Therefore, when the people who care about sustainability aren’t aware, then the actual reality is almost certainly far worse than what the results show.

Awareness is one of the most important tools to influence people. When students in the University of California were enrolled in a sustainability course for a research study, it was found that the increase in awareness caused positive changes in students’ sustainability behaviors.

The purpose of my research project is to study whether mobile gaming is an effective way to raise awareness.

This semester, I’ve worked on developing a mobile game prototype that has educational undertones yet is still entertaining. To do this, I needed to understand what would motivate players to play my game over other competitive substitutes. So, I talked with gamers to understand what type of games interests them.

After these discussions, I’ve come up with a general description of the game in the hopes that it will be as popular as the game Animal Crossing. The main character Honey the Bee goes through a sustainability adventure, and throughout her journey she tries to overcome a big sustainability challenge. However, I’ve learnt that creating a game with this description was much more complex than my research initially suggested.

For this project to continue, the next step would be to make a prototype. But forming a team of coders is this project’s biggest obstacle. To find some volunteers, I’ve tried reaching out to student organizations, game design students, and different professors. I even created a Game Design Volunteer posting on a website I’ve made. However, with the very competitive nature of this industry, I couldn’t find volunteers who would be willing to work on any project of this kind for free.

In the future, to answer the question whether mobile gaming is a good tool for awareness, I envision volunteers playing the prototype. They would complete two surveys, one before they play the game and one after. I would also interview them to go into greater depth about their experience and the knowledge they’ve gained. The information I will have gathered would be helpful to determine whether mobile gaming can be used to change their awareness levels and behavior. Ultimately, this information will be useful to further game development that is both fun and educational.

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College of Humanities and Social Science Undergraduate Research Scholars Program (URSP) - OSCAR

Misogyny in Sports: How Female Athletes’ Underrepresentation Negatively Affects Their Public Image

Author(s): Ellie Van Tassel

Mentor(s): Nupoor Ranade, Writing and Rhetoric in English

As half of the world’s population, women are overly sexualized in the sports industry, with their accomplishments constantly being dismissed, and essentially being told that they don’t matter as much as men. In this English Honors thesis, under the direction of Professor Nupoor Ranade, I demonstrate through close reading the lack of representation female athletes receive in media. The media types I discuss include sports news, sport magazine covers, and general social media. This lack of representation comes from society underemphasizing women’s achievements both in daily life and in the athletic world, and rather focusing on what men accomplish. I explore the ways in which female athletes are portrayed in sports news, if at all, and how they are sexualized on the covers of popular sports magazines, such as ESPN The Magazine and Sports Illustrated. Following the lack of honest portrayal of female accomplishments is how these athletes respond to the discrimination. An example is Togethxr, created by women for women to provide a social media platform to highlight women’s achievements and provide opportunities for young girls to have role models to look up to. The underrepresentation, as well as the misrepresentation, creates negative consequences for female athletes, including low pay and a bad social image. The disregard of female athletes’ achievements and lack of proper portrayal is a harsh reality of our society, but women have learned how to fight back and advocate for their own accomplishments.

Keywords: women, representation, sport, gender discrimination, media

Hello everyone! My name is Ellie Van Tassel, and I will be presenting my English Honors thesis, which I wrote under the direction of Professor Nupoor Ranade. I will be discussing the sexism and misogyny that is present in professional women’s sports and how this correlates to their lack of funding and support. Throughout my research, I conducted close readings of multiple different types of media and writing, including sports news, sports magazines, and social media. I found that each type of media participates some way in diminishing the accomplishments by female athletes and consistently emphasizing those done by males. Throughout this video, I will be presenting examples I found through my research.
When looking at sports news, stories on male athletes take up most coverage and are often repeated for new viewers tuning in. Women’s sports stories are few and rare, and when they are shown, the reporter assigned to it often delivers the news in a dull, monotone voice. The lack of excitement for the delivery of the story results in a lack of excitement for those watching and prevents any new support from emerging. When female athletes are covered in the news, the report tends to focus more on their body or age rather than on their accomplishment. The video example I have here is of Chloe Kim winning her first gold medal in snowboarding at the 2018 Winter Olympics. Listen to what the reporter says about her. PLAY VIDEO. Now, she was 17 at the time, but neither her age, nor her body, should have anything to do with her winning a gold medal. She is also wearing a full snowboarding suit, which is hiding what her body looks like. The reporter choosing to focus on her body and her “ass” shows how little her accomplishment means, simply because she’s a woman.
Moving on to sports magazines, women are much more likely to be sexualized on the covers compared to men. The two most popular sports magazines are ESPN and Sports Illustrated. When looking at the differences between how women and men are portrayed on the cover, focus on the pose they’re in, what clothes they’re wearing, and what the cover line includes. I have three examples here, two from ESPN and one from Sports Illustrated. Right away, you can see the difference in how Serena Williams is posed compared to Stephen Curry and Simone Biles. Her skin is exposed, she’s posed sexually on a throne, and nowhere on the cover does it mention the sport she plays (which is tennis). Simone’s picture shows some skin and her pose places emphasis on her body, but she is at least dressed in a leotard, which is the uniform for her sport. But her sport is also not mentioned. Meanwhile, Stephen Curry is posed in an action shot, in his jersey, using a basketball as a prop, his name is listed, and the word “hoop” is used, which relates to basketball. The two women are sexually emphasized through their pose and body while Curry is posed in relation to his sport.
Finally, we move on to social media. The examples here are tweets, both from the 2016 Summer Olympics. On the left is Simone Manuel holding her 2016 Olympic gold medal on the podium for her performance in swimming. Instead of referencing her, Mercury News chose only to refer to her as “African-American” and mentioned Michael Phelps instead, another American swimmer, who is nowhere in the photo. On the left is Corey Cogdell, an American trap shooter, holding her bronze medal at the 2016 Olympics. Her own name, or sport, are not mentioned in the caption, but rather her achievement is written as if it is due to her relation to a man. Both captions fail to correctly address the women being shown in the photos and rather mentions male athletes who have no correlation to the accomplishments achieved by both Simone Manuel and Corey Cogdell.
Lastly, given everything that is stacked against female athletes, majority choose to fight against the odds and advocate for themselves and for their accomplishments to be noticed. Chloe Kim, Sue Bird, Simone Manuel, and Alex Morgan co-founded Togethxr, a digital social media platform that highlights the next generation of women in sports by telling their stories with an air of representation and equality. This platform is founded by women for women because these athletes understand how important it is for the younger generation of female athletes to have role models to look up to. Similarly, the Representation Project created the hashtag RespectHerGame. This project uses media to challenge and call out harmful gender norms and stereotypes. The hashtag was created to call out Olympic coverage in 2021 for its sexism, specifically broadcasters and news anchor so reports, such as the one on Chloe Kim in 2018, don’t happen again.
So, why should we care? Women make up almost half of the world’s population. By dismissing their accomplishments in any industry, society is essentially saying that half of the population does not matter. The examples of sexualization in this presentation provides a basic idea of how negative representations can have real world consequences. The sports industry can be a good place to start to change this misogynistic and sexualized way of looking at women. Companies like Togethxr and The Representation Project are already working toward promoting positivity towards female athletes. Since these companies are smaller, real change will not happen until the bigger sports companies follow their lead.
Thank you for listening!
Categories
College of Visual and Performing Arts Undergraduate Research Scholars Program (URSP) - OSCAR

More Than A Damsel

Author(s): Taj Kokayi

Mentor(s): Lucy Gebre-Egziabher, Film and Video Studies

More Than A Damsel is a short film that was intended to be produced this semester, in Spring 2022, as part of the URSP. Due to COVID-19 and scheduling unavailabilities, the film will not be made this semester. But, this short video provides an overview of the plans for the film, as well as the story and creative style
Hello, my name is Taj Kokayi. I am a graduating senior in the film and video studies department, I am being mentored by Professor Lucy G. And my undergraduate research project is a short film, titled More Than A Damsel, unpacking the issue of sexual assault.

More than a Damsel is a dialogue-free, non-linear story that follows a young woman, Michelle, over three important points in her life.

The film is intended to bring awareness to the terrible reality of sexual assault that countless people face everyday. Research has shown, that every 73 seconds an American is sexually assaulted, 1 in 6 American women are survivors of sexual assault, and roughly 94% of women who are raped experience PTSD.

Now my film, More Than A Damsel, is meant to show just how severely sexual assault affects survivors and how they are not defined by their trauma.

Now the goal of this film is to help survivors feel less alone, and to remind them that they are not defined by their trauma, and to drive forward the discussion about sexual assault.

And cause viewers to think a little bit harder about how they view cases of assault and the trauma it ensues, as well as take a harder look at how easily rapists are forgiven.

More Than A Damsel is a film that I’ve been working on since my very first semester, here as a freshman at Mason. And over the past four years, we’ve faced a couple roadblocks.

I was originally planning to make this film my sophomore year, in my Fiction Filmmaking class for the Film department. But that was in the Spring of 2020, and as we all know, that’s when the pandemic began.

Back when I was originally planning to make this film during the Spring of 2020, we had already assembled a cast, a crew, and found locations on campus we could film at. But flash-forward to years, and all those cast and crew members are unavailable because they’re working on their own projects now.

So unfortunately, More Than A Damsel will not be getting made this semester. But I can show a couple things we would have done.

First I’ll show you some of the locations I found on campus, where we can film at.

Some of our scenes, specifically the ones where Michelle runs into her assaulter for the first time again, will take place on a college campus. And for those we scouted out Lecture Hall, here in the GMU Fairfax campus.

Some of our scenes will take place in a high school classroom. And for those scenes we went to Krug Hall.

And finally, some of our other scenes will take place in a bathroom. And for those we also went to Krug Hall, but this time found a bathroom that fit the aesthetic of our film.

We were also planning to use lots of motivated camera movement, with the camera moving from one direction or the other, to show how Michelle is progressing throughout the story.

And colored lighting and colored sets was going to be another major portion of our film.

As a dialogue free film, More Than A Damsel will be primarily told through its visuals. And one of the most important visual factors is color.

Here’s an example of some of the colors we found our film, and the symbolism or meaning of them.

Right here you can see a couple storyboards for the film that I’ve created.

And here’s a list of some of the costume pieces we were planning to use.

Throughout this video you have also seen some of the visual inspirations we used, such as paintings or quotes.

And even though More Than A Damsel won’t be coming to theaters this semester, I do hope to one day be able to tell this story, unpacking an important topic, that is swept under the rug far too often. Thank you.

Categories
College of Science Undergraduate Research Scholars Program (URSP) - OSCAR

Nitrogen isotope constraints on redox conditions in the North Pacific Ocean during the warm Pliocene Epoch

Author(s): Natasha Tagle

Mentor(s): Geoffrey Gilleaudeau, Atmospheric, Oceanic, and Earth Sciences

The Pliocene (2.6 to 5.3 Million years ago) is the most recent interval when Earth experienced atmospheric carbon dioxide concentrations (pCO2) above 400 ppmv (present-day level) and higher than modern global temperatures by (3-4° C). The arrangement of the continents was also alike present-day; therefore, the Pliocene makes a valuable potential analogue for predicting future climate change. Until recently, it was assumed that global warming would lead to sluggish overturned currents. Recent modeling, however, suggests that the Pliocene supported a Pacific Meridional Ocean Circulation (PMOC) with deep-water forming in the North Pacific where only intermediate water forms today.
SLIDE 1
Hello everyone,
Welcome and thank you for taking the time to watch my presentation today!
My name is Natasha Tagle & my research is over nitrogen isotope constraints on redox conditions in the North Pacific Ocean during the warm Pliocene Epoch. This was completed under the supervision of my awesome advisor Geoffrey Gilleaudeau.

SLIDE 2
You may be wondering why nitrogen isotopes in the ocean is important, or why it should matter? Well, let’s begin. It is critical for us to understand how the ocean-atmospheric system will respond to any future climate changes. We decided it was best to use a period of a warm climate to best study our question. Decreased ocean circulation can lead to negative impacts like a lack of O2 (oxygen) ventilation to the bottom of the ocean. In the diagram, you can see that both sides of display warm water, but there is no ocean circulation today. Unlike what I am proposing for the Pliocene 2.72 mya.

SLIDE 3
The samples used for this project come from IODP (International Ocean Discovery Program) and the core samples allocated are sites 1151A & 883B.
To have them prepped for nitrogen analysis they samples went through: a visual description, crushed them into a fine powder, weighed out 3 g of sample powder into a tube, acidified samples with hydrochloric acid to remove any carbonate material – and leaving it overnight, rinsed samples with ultrapure water to remove remaining acid, then left uncapped tubes to dry in an oven at 80 C overnight, reweigh to find amount of material lost to acidification, and finally re-crushed samples to be analyzed at the University of Maryland.

SLIDE 4
As you can see, this beautiful curve in my box and whisker plot of all the compiled data from my samples and other previous research data sets, this curve is representing the denitrification/or the change from a well-circulated deep ocean to non-deep ocean circulation environment. The two samples on the left side are from this project. The next two samples, 882A is very close in distance to my 883B core. Both of those are recorded during my period of this study and after 2.73 mya. The far-right shows a modern-day site with no deep ocean circulation.
In conclusion, based off the data collected and recorded throughout this research project support my hypothesis of deep-ocean circulation in the North Pacific Ocean during the Pliocene Epoch.

Categories
College of Engineering and Computing Undergraduate Research Scholars Program (URSP) - OSCAR

Noisy Parallel Data Alignment

Author(s): Ruoyu Xie

Mentor(s): Antonios Anastasopoulos, Department of Computer Science

There are about 7,000 languages in the world and 40% of them are endangered. However, due to the lack of attention, most current Natural Language Processing (NLP) technologies are not reliable for endangered languages. Optical Character Recognition (OCR) may be used to convert existing endangered language documents into machine-readable text. However, for endangered languages, the OCR output is typically noisy, and OCR post-correction systems are used to reduce OCR recognition errors and produce more accurate machine-readable text. Previous work has shown that using alignments between the endangered language and its translation can significantly improve OCR post-correction (Rijhwani et al., 2020). Nevertheless, most alignment tools cannot be trusted to produce accurate alignments for the noisy OCR outputted text. In this work, we study existing alignment tools under noisy data settings, aiming to optimize the state-of-the-art alignment model for better handling OCR noisy data.
Hello everyone, my name is Ruoyu Xie, today I will be talking about my work Noisy Parallel Data Alignment.

You must have used Google translation before. Today, Most of the language tools, such as translation apps, speech recognition software are working well with popular languages such as English, Chinese, French. but they are not really doing well with endangered languages, which are the languages that we don’t see every day. there are 7000 languages in the world, but 40% of them are endangered. The reason why these language tools are not doing well on endangered languages is that we don’t have enough data to train the language models for these endangered languages.

In order to train the languages models, we use a tool called optical character recognition (OCR) to digitalize them from books and make them machine-readable.

However, OCR oftentimes makes mistakes in recognizing the text for endangered languages. So we have to make an OCR post-correction which requires the translation alignments between two languages.

This is where my research comes into play, most of the available alignment models are not performing well on noisy data that has OCR errors. My goal is to build a robust alignment model that can produce accurate alignment results regardless of the data noisiness.

In terms of the methodology, I first capture all different kinds of errors that could be made from OCR recognition. And then, based on the probability distribution of these errors, I applied them to some clean datasets and make them noisy. Lastly, I use these synthetic noisy data to train the alignment model and make it more robust in handling noisy data.

Currently, we have reduced the noisy alignment error rate for the English-French dataset from 53% down to 42%. and we are still conducting more experiments and hopefully get better results in the future.

Lastly, I want to say a thank you to my mentor, Dr. Anastasopoulos for guiding me through this project, and also a thank you to the OSCAR office for the sponsorship.

Thanks for watching

Categories
College of Engineering and Computing Undergraduate Research Scholars Program (URSP) - OSCAR

Predicting Open/Closed Fist Motions from EEG Data Using Machine Learning

Author(s): Ayman Slamani

Mentor(s): Dr. Siddhartha Sikdar, Bioengineering

Brain-computer interfaces, or BCIs, are systems that use neural signals from the brain in order to produce a certain action. There is so much potential with BCIs, but because of the infancy of the technology current research is mostly limited to medical solutions. One of these solutions is to control prosthetic devices. I decided to focus my research on this prosthetic hand manipulation through the use of electroencephalography. This system is non-invasive and allows for the collection of the electrical activity of the brain via electrodes placed on the surface of a participant’s scalp. The purpose of my research was to create a predictive algorithm that takes an input of neural signals and outputs whether the user would like to open or close their fist. I used an EEG headset with 14 scalp electrodes called the EMOTIV EPOC X. Data collection proceeded with one participant and 50 blocks of 4 randomized trials. The trials were as follows: physically closing one’s fists, physically opening one’s fists, imagining closing one’s fists, and imagining opening one’s fists. The data was collected in the EMOTIV Pro software and exported to MATLAB for processing. I used a band-pass filter to extract the beta frequency band for the signals correlating to physical movement, and the mu frequency band for the imagined movement signals. For my predictive algorithm I used machine learning. Specifically, I used an artificial neural network where I split my data 80% towards training and 20% towards testing. The results were that my algorithm had a 41.8% accuracy in predicting the physical opening and closing of one’s fists and a 58.6% accuracy in predicting the imaginative opening and closing of one’s fists. Therefore, there was a low accuracy in my algorithm’s ability to predict fist motions based on EEG data.
Hi, My name is Ayman Slamani and the research project that I worked on this semester was “Predicting Open/Closed Fist Motions from EEG Data Using Machine Learning”. This project is under the Bioengineering department, and my mentor was Dr. Siddhartha Sikdar.

I want you to imagine a world where you can control every device you own with just a thought. This world is not a fantasy and can come to fruition if we can better learn how to read, process, and decode our neural signals. Brain-computer interfaces, or BCIs, are systems that literally connect a user’s brain with a computer and use neural signals from the brain in order to produce a certain reaction to the data that is analyzed by the computer. There is so much potential with BCIs, but because of the infancy of the technology current research is mostly limited to medical solutions. One of these solutions is to control prosthetic devices. Because it is important to have clean and precise data to be able to manipulate external devices with, most research to do with BCIs use invasive methods to collect their data. This means that participants would have to go through neurosurgery, and have electrodes implanted into the surface of their brain to be able to send accurate data to the computer. Because of the risk that surgeries like this can have, I decided to focus my research on the use of electroencephalography or EEG. This method is non-invasive and allows for the collection of neural signals via electrodes placed on the surface of a participant’s scalp.

For my research, I used an EEG headset called the EMOTIV EPOC X. This headset has 14 electrodes that make contact with a user’s scalp in order to collect the electrical activity of their brain. Once I did preliminary research on what has been done before and what is possible with technology like this, I began by exploring the software and looking at what EEG signals look like on a screen. I started by testing the EEG headset on myself so that I could gain more experience with the system and better design my experiment.

The purpose of my research was to create a predictive algorithm that takes an input of neural signals and outputs whether the user would like to open or close their fist.

The first step to this research was to collect data. In order to do this, I had a participant sit comfortably in a chair with their arms on a table, staying motionless unless they are prompted to move. They were then told to physically close their fists, physically open their fists, imagine closing their fists, and imagine opening their fists within many randomized trials.

The data was collected in the EMOTIV Pro software and exported to MATLAB for processing. In MATLAB, I used a band-pass filter to extract the beta frequency band for the signals correlating to physical movement, and the mu frequency band for the imagined movement signals.

For my predictive algorithm I used machine learning. Specifically, I used an artificial neural network (ANN) where I split my data 80% towards training and 20% towards testing.

My results were that my algorithm had a 41.8% accuracy in predicting the physical opening and closing of one’s fists and a 58.6% accuracy in predicting the imaginative opening and closing of one’s fists. Therefore, there was a low accuracy in my algorithm’s ability to predict fist motions based on EEG data.

Future improvements to this study would be to use a more reliable collection device, randomize the data better, extract different features, test the use of other algorithms, and connect the algorithm to a prosthetic hand for live manipulation of the hand.

I would like to thank OSCAR, Dr. Siddhartha Sikdar, Dr. Holger Dannenberg, Dr. Karen Lee, Amal Nadel, Christopher Kim, Binal Brahmbhatt, and Shriniwas Patwardhan for their help in completing this research project.

Thank you

Categories
College of Science Undergraduate Research Scholars Program (URSP) - OSCAR

RECORDING ZEBRAFISH TAIL REGENERATION FOLLOWING THE INTRODUCTION OF A CANNABINOID RECEPTOR AGONIST SOLUTION

Author(s): Matthew Chartters

Mentor(s): Dr. Gwendolyn Lewis, Neuroscience

Zebrafish possess natural regenerative capabilities, being shown to regrow tails, fins, and in some cases restore part of or an entire organ such as the heart. The introduction of a cannabinoid receptor agonist URB-597 or ‘CB-agonist’ after surgical tail removal suggests that CB-Agonist may interact with ‘Wnt’ pathways and wound response pathways to reduce apoptosis and spur healthier fin recovery. The CB-Agonist’s efforts suggest a reduction in cell death and smoother fin reconstruction along the distal tail region when examined through microscopy. Decay in zebrafish is marked by feathery, brown, and opaque flaking of the damaged body segment marking decomposition. The suggestion of less cell death is raised from the microscopy images in the CB-Agonist groups versus the untreated control wells.
HELLO, AND WELCOME TO A PRELIMINARY STUDY CONDUCTED BY ME, MATTHEW CHARTTERS, A STUDENT IN THE NEUROSCIENCE DEPARTMENT. I AM ABLE TO DISPLAY THIS WORK TO YOU THANKS TO GEORGE MASON UNIVERSITY AND THEIR OSCAR PROGRAM FOR UNDERGRADUATE RESEARCH STUDENTS LOOKING TO EXPLORE IDEAS AND CONCEPTS THEY’VE BEEN ITCHING TO EXPRESS.

MY PRESENTATION TO YOU ON ZEBRAFISH TAIL REGENERATION WHEN PLACED IN A CANNABINOID RECEPTOR AGONIST, LET’S CALL THAT A CB-AGONIST FOR SIMPLICTY, FOLLOWING A FINE AMPUTATION OF A SEGMENT OF THEIR TAIL.

LET’S LOOK AT A DAY OF RESEARCH FOR ME IN THE KRASNOW BUILDING’S NEUROSCIENCE LAB AND ITS ANIMAL FACILITY WHERE A MAJORITY OF MY RESEARCH TOOK PLACE.

TWO DAYS PRIOR TO WHEN I ANTICIPATED MY PROCEDURE’S FIRST STEPS OF CUTTING AND IMAGING, I HAD TO SET UP CROSSING CAGES, WHICH YOU WILL SEE IN THE NEXT SLIDE, WHERE MALE AND FEMALE ZEBRAFISH WOULD BE PLACED IN ONE OF THESE CROSSING CAGES OVERNIGHT. UPON DAWN’S EARLY LIGHT, OR IN THIS CASE THE ROOM’S OVERHEAD FLUORESCENT BULBS, THE FEMALE ZEBRAFISH RELEASE CLUTCHES OF EGGS AND THE MALES THEN RELEASE SPERM INTO THE CAGE WHERE THE EGGS WILL BECOME FERTILIZED AND FALL INTO A LOWER COMPARTMENT SET UP INSIDE THE CAGE. THIS HELPED MAKE COLLECTION EASIER AND PREVENTED ANY FISH BEING STUCK FLOATING AROUND AND APPEARING LIKE A SNACK.

THE NEXT DAY THE FISH ARE NOW WHAT WE CALL 24 HPF OR HOURS POST-FERTILIZATION, THAT’S HOW WE GAUGE THEIR AGE IN ADDITION TO STAGING PROCEDURES. THE METHODS OF TAIL AMPUTATION FIRST REQUIRED ME TO REMOVE THE OUTER ‘BUBBLE’ OR CHORION AS SEEN ON THE TITLE SLIDE SO THAT I COULD LET THE FISH UNCOIL AND SWIM ABOUT. IN ACCORDANCE WITH IACUC, A COUNCIL ON ANIMAL ETHICS IN LABORATORIES, THE FISH I AIMED TO CUT WERE ANESTHETIZED USING A 0.4% TRICAINE SOLUTION. WHILE ANESTHETIZED, I COULD WORK CAREFULLY WITH MY NEEDLE AND SCALPEL TO POSITION AND THEN AMPUTATE THE CAUDAL END OF THE FISH, JUST A FEW SEGMENTS FROM THE TIP OF THEIR DEVELOPING TAILS.

AFTER THAT, I SIMPLY WAITED 48 HOURS AND AT 72 HPF OR 48 HPA (POST-AMPUTATION) TO TAKE A FINAL SERIES OF IMAGES IN THE KRASNOW LAB WITH MY MILLIMETER GAUGE BEFORE TAKING THE FISH OVER TO EXPLORATORY HALL FOR FLUORESCENCE IMAGING. THIS COULD ONLY BE DONE WITH TRANSGENIC FISH THAT DISPLAYED MY TARGET FLUOROPHORE, OLIG-RED OR RED FLUORESCENT PROTEIN (RFP). MORE ON THAT LATER.

HERE’S A QUICK GLANCE AND EXPLANATION OF WHAT A TYPICAL SETUP OF CROSSING CAGES AS WELL AS THE CIRCULATING AQUATICS SYSTEM LOOK LIKE.

ON THE LEFT WE SEE 6 CROSSING CAGES LABELLED WITH THE GENOTYPE OF THE FISH INSIDE AS WELL AS THE DATE THEY WERE PLACED IN THESE CAGES. THEY WOULD REMAIN ON THE TABLE UNTIL THE NEXT MORNING UPON COLLECTION WHEN A MIDDLE CAGE IS PULLED UP AND OUT TO RETURN THE ADULT FISH AND THEN COLLECT THE EMBRYOS AT THE BOTTOM OF THE MAIN CAGE WITH A SIEVE AND SOME PURIFIED WATER TO WASH OFF ANY DEBRIS.

ON THE RIGHT IS THE AQUATICS SETUP I BECAME ACCUSTOMED TO USING. THE BASICS IS WELL, BASIC, WATER CIRCULATES THROUGH THE SYSTEM AND IS FILTERED BY A NUMBER OF FILTRATION METHODS DOWN BELOW AND EACH DAY NEW WATER IS ADDED INTO THE SYSTEM FROM AN ACCESSORY TANK.

SO, WHAT DID I DO? WELL, USING A FLAT PLASTIC BOARD WITH GRIDLINES, I PLACED A DROP OF WATER AND THE ANESTHETIZED FISH TO LIE ALONG A STRAIGHT LINE AND THEN USED A FINE SCALPEL TO CUT ANY GIVEN NUMBER OF SEGMENTS OFF, AND THROUGHOUT I TESTED MORE INTENSE AND LAXED CUTTING TO SEE WHAT THE LIMITS TO TAIL REGENERATION REALLY WERE.

WHAT WE SEE, IN OUR CONTROL GROUP, IS THAT ZEBRAFISH DO POSSESS NATURAL REGENERATIVE ABILITIES, THE QUESTION HERE IS, DO THE CB-AGONISTS WORK TO ACTIVATE THE KNOWN PATHWAYS IN REGENERATION.

TO TEMPER THESE FINDINGS, I WOULD TELL YOU THIS, THE INTRODUCTION OF THE CB-AGONIST SUGGESTS INCREASED REGENERATION THROUGH TWO METHODS, REDUCING CELL DEATH AT THE CUT SITE, WHERE IN THE CONTROL THE BUD TAPERS OFF WITHOUT MUCH FIN REGROWTH TO COVER THE BLASTOMA. THE SECOND METHOD WAS PROMOTING FASTER REGENERATION THROUGH HEIGHTENED RECEPTOR ACTIVITIY. THIS OBSERVATIONAL STUDY SUGGESTS SUCH POSSIBILITIES, BUT FURTHER WORK IS REQUIRED TO DRAW ANY STATISTICAL CONCLUSIONS.

NOW, Comparing the 3 trial concentration groups against the control: 1.25 mg/mL, 2.5 mg/mL, and the 5.0 mg/mL trials, the 2.5 mg/mL group was measurably more effective at regrowth length by micrometer than the other groups, as this table suggests.

What differentiated them upon imaging was the exhibition of greater fin regrowth and more pronounced tail buds in an observational setting.

The CB-Agonist’s efforts suggest a reduction in cell death and smoother fin reconstruction along the distal tail region when examined through microscopy.

Decay in zebrafish is marked by feathery, brown, and opaque flaking of the damaged body segment marking decomposition.

LASTLY, AS I SAID BEFORE, A LOOK AT SOME ZEBRAFISH EXHIBITING THE RED FLUROESCENT PROTEIN (RFP) AND SOME STANDARD PHOTOS OF THE SAME FISH, TO HELP EXPRESS THE BENEFITS OF FLUORESCENT IMAGING WITH TRANSGENIC FISH, AS WELL AS WHAT HAPPENS WHEN SOME TRANSGENES DON’T QUITE EXPRESS THEMSELVES AS PROMINENTLY AS OTHERS.

WE SEE A CONTROL TAIL ON THE BOTTOM ROW, THE FIRST TWO IMAGES FROM LEFT TO RIGHT, AND ON THE TOP ROW WE SEE FROM LEFT TO RIGHT A COMPARISON OF THE 5.0 MG/ML CONCENTRATION GROUP THAT PROVED LARGELY UNSUCCESSFUL AT REGENERATION AND ITS FAILURE TO GENERATE THE NEEDED PERIPHERAL NEURON OUTREACH AS IN THE FINE POINT CONTROL. IN THE TOP RIGHT WE SEE A TRANSGENIC FISH THAT SHOWS FAINT, VERY FAINT, FLUOROPHORES, MEANING IT DIDN’T QUITE TAKE ON THE GENES OF ITS PARENTS THAT WE ANTICIPATED.

HAVE NO FEAR, IN THE BOTTOM RIGHT A 2.5 MG/ML TAIL SHOWING NERVES PROTRUDING FROM THE SPINAL CORD INTO THE TAIL BUD DISPLAYS A TAIL THAT CAN, WELL, FEEL.

I’VE HAD AN EXCELLENT TIME WORKING WITH THE TOOLS AND TECHNIQUES THIS SEMESTER AND AIM TO CONTINUE RESEARCH IN SOME SHAPE OR FORM LOOKING AHEAD. MY HOPE, TO BRING REGENERATION TO ANIMALS UNLIKE THE ZEBRAFISH THAT CANNOT REGROW LIMBS OR EVEN ORGANS AND MAKE THAT A POSSIBILITY FOR FUTURE SCIENTISTS TO EXPLORE, MYSELF INCLUDED. NEXT STOP, LIZARDS.

I WANT TO END THIS PRESENTATION BY SAYING THANK YOU FOR TAKING THE TIME TO WATCH THIS PRESENTATION AND TAKE A PEEK AT A PRELIMINARY STUDY THAT SUGGESTS THAT EXTERNAL WORK AND SOLUTIONS MAY SPEED UP REGENERATION AND WOUND RECOVERY. I’D LOVE TO CONTINUE THIS WORK IN SOME CAPACITY WITH CRISPR AND CANNOT WAIT TO GET THE OPPORTUNITY TO DO JUST THAT.

Categories
College of Engineering and Computing Undergraduate Research Scholars Program (URSP) - OSCAR

Securing SFM systems using Generative Diffusion Modeling

Author(s): Ashwin Pokharel

Mentor(s): Bo Han, Computer Science

Point clouds generated using structure from motion systems have become prevalent in many domains and industries. Technology such as AR/VR have made heavy use of SfM and are used in locations that range from Military installations to private homes. It is also being deeply integrated our lives as many phones are now able to generate such point clouds using the same technology. There is however a glaring problem of preventing scene recreation attacks. These attacks will be able to reveal private and confidential information from secret facilities as well as private homes. We propose a novel solution where we add noise into the point cloud to prevent such attack. This added noise should not reduce the localization accuracy of the point cloud but will prevent scene recreation attacks from occurring. While previous papers have used adversarial attacks to fool classification networks into misclassifying point clouds, There is no currently known research in using this method of attack to prevent scene recreation attacks. To add noise we will be utilizing diffusion generative models. s. We will train this diffusion model to first add random gaussian noise and then try to interpolate the noise back to the original point cloud while maximizing localization metrics and minimizing scene recreation attack vulnerability. This optimization will be achieved by modifying the loss function being used. The two primary questions are can we add noise to prevent scene recreation attacks and can we add it without harming the overall accuracy of the model. We managed to prove that adding noise can prevent such attacks but we’re not able to finish our diffusion model.
– Hello everyone and today i wanted to go over my research project for this semester.
– My recent project was titled securing SFM Systems using Generative Modeling however i just like to call it you’re missing the point.
– So before we talk about the bigger questions that this project aims to answer let’s talk a bit more about the underlying concepts.
– One of them is point clouds so what is a point cloud? A point cloud is just a way to represent a 3D structure
– As you can see here this is a 3D representation of a building, and they’re generated by taking a bunch of 2D images, usually at different angles and then trying to match up the different points in those images and projecting them into a 3D space, and that is what a point cloud is, and they’re used in many technologies. Technology such as self-driving cars where point clouds are used to help the car understand its environment and where it is in relation to other objects. In AR/VR systems it’s used to understand where you are in relation to your environment, let’s say for example your living room and these systems are becoming more and more widely adopted.
– While a lot of time and energy has been spent into making these systems more efficient as well as more available for a broader use, not as much effort has been spent in making these systems more secure. Specifically secure against a type of attack known as scene recreation attacks. This is a type of attack where you can take the original point cloud which is just supposed to have structural information and then recreate the images that were used to generate that point cloud. While in some contexts this attack doesn’t lead to any loss of meaningful information in other contexts such as our home it can be a huge invasion of privacy, also as these systems are being used in more secure installations such as military bases it can also constitute a security threat.
– So after understanding these concepts we can begin to take a closer look at the questions we’re trying to answer in this research project. So the first one is, can we prevent these attacks by adding random noise around the existing point cloud and secondly can we do it or can we add noise in such a way that it doesn’t harm the overall accuracy of this model.
– So to answer the first question we decided to create a proof of concept demonstration where we took an existing point cloud and added lots of random noise all around it and as you can see here by adding this noise we were able to prevent a scene recreation attack from occurring however because these points were added randomly we also lost a lot of the accuracy of this model.
– So to preserve this accuracy we are going to use deep learning, specifically we’re going to use deep learning to understand how this added noise will affect the actual accuracy of the model as well as its susceptibility to the scene recreation attack and then we’re going to use this relationship to optimize the added noise.
– specifically we’re going to be using a type of model called diffusion modeling. This is a type of model where we take the original point cloud and then keep on adding noise onto it until it’s just random noise and then we train our network to learn how to take this random noise and recreate the original point cloud from it however we slightly modified it where instead of just learning how to recreate the original image it will also learn how to do it in a way where we decrease our susceptibility to the scene recreation attack. While this is an incredibly powerful model it is also very complex and it takes a long time to not just train but to sample from as well and as a result we were not able to fully finish this model by the time of this recording.
– therefore I would like to continue developing this model further in the future as well as making this model available to other developers for feedback as was integration with their existing pipelines and finally i would also like to look for other methods that might yield similar results while reducing the time it takes for the development.
Thank you all so much for your time and i would like to take a second to thank professor Bo Han for being my mentor and guiding me through this process Mr Nan Wu for helping me answer a lot of the questions I had while I was in development ,the GMU OSCAR office for teaching me about research as well as providing funding for this entire project, the ORC office here at gmu for providing computational resources and all others who have made this possible including my classmates, my friends as well as my family thank you so much
Categories
College of Science Undergraduate Research Scholars Program (URSP) - OSCAR

Shrink to Clean: Exploring the Glymphatic System and Volume Change in Brain

Author(s): Mahsa AHMADI

Mentor(s): Dr. Robert J. Cressman, Department of Physics and Astronomy

The glymphatic system or the clearing system in brain is a recent discovery that can lead to better therapeutic options for neurological disorders and better sleep. Previous studies show that the onset of the glymphatic system at sleep is accompanied by expansion of the extracellular space. However, there is no evidence of what parameter is shrinking to make the expansion possible. We hypothesized that this expansion is balanced with the shrinkage of neuroglia called astrocytes. We mainly focus on the role of Sodium Potassium Chloride Cotransporter 1 (NKCC1) in the astrocytes for a better understanding of how astrocytes swell during wakefulness and shrink during sleep. The research is based on a MATLAB computer model with ions conductance and derived dynamic parameters of neurons and the glymphatic system. After testing our hypothesis in the model on three different states, wakefulness, REM and NREM sleep, our results show that during NREM sleep the ECS volume increases and the volume of both neuron and glia increases. However, during wakefulness and REM sleep the ECS decreases and the volume in neuron and glia increases. Future studies in this field could lead to the development of improved therapeutic solutions for neurological diseases such as Alzheimer’s.

Mentor information: Dr. Robert J Cressman, George Mason University.
Krasnow Institute George Mason University 4400 University Dr. MSN 2A1 Fairfax, VA 22032
Contact at [email protected]

This research was funded through OSCAR-URSP

My name is Mahsa Ahmadi and I’ve got a question for you.
How often do you get enough sleep? Have you ever wondered what happens during sleep that the lack of it can lead to several problems starting from feeling exhausted and less energetic during wakefulness?
The question to why we sleep and what changes happened during sleep is still not clear.
But in the recent decade, scientists discovered the glymphatic system, which is basically the brains cleaning system.
During sleep, the brain starts producing more CSF or cerebrospinal fluid, and washes off the harmful particles from the brain. Like bit amyloid proteins, the proteins involved in Alzheimer’s disease.
And then drains them out of the brain by a meningeal and cervical lymphatic vessels.
So why do we call it the glymphatic system? Because it comes from glia plus lymphatic system, glia being astroglia specifically because they allow the movement of fluid between the pair vascular spaces.
Water turns and thus are essential part of the glymphatic system.
During the transition of brain to sleep from wakefulness, scientists observed an expansion of the extracellular space, or the space surrounding the southern debris. Here, it’s shown in the red color. Now it makes sense, right? If you have more extracellular space, you can produce more fluid, which can flow easier and with less resistance, and thus.
Cleans the brain. The extracellular space is shown in red again in this fluid figure.
Now simple physics says that within a contained environment, if something becomes bigger, something else should become a smaller.
So for our studies include observation of expanded extracellular space, but not any observation of shrinking parameter.
That was when I and Doctor Cressman became interested to know what the shrinking parameter is and started our research funded through Oscar URSP.
We have noticed that it’s the astroglia that shrink during sleep and swell during wakefulness.
Used an existing computer model of a neuron and added a new mathematical equation for NKCC 1 or sodium potassium chloride cotransporter.
In astroglia this cotransporter leads to the uptake of potassium ions, accumulation of chloride and swelling.
Now, in order to compare the volume change within different states like wakefulness, REM, and NREM sleep, we coded for neurons to fire at certain frequencies equal into those seem naturally during those states.
For example, during NREM sleep the frequency of the slow delta waves is between .5 to 4 Hertz. So we coded for that frequency in our model and then looked for the corresponding volume changes.
According to our results, during non-REM sleep.
The extracellular space increases while both glia and Nora and decrease in volume. However, during Ram and wakefulness states, the extracellular space decreases, and glia and neuron increase in volume.
It also makes sense that when the extracellular space is shrinked during wakefulness, as a result of that shrinkage, the concentration of potassium outside increases and that leads to neurons becoming more excitable and getting it faster rates.
It’s also interesting to know that even sub threshold stimulations and our model caused volume change in glia neuron and extracellular space.
Why is this research important? Because knowing more about the changes that happen in the brain during the glymphatic system can help us come up with better therapeutic options for diseases that depend on the proper functioning of the glymphatic system like Alzheimer’s.
Suggestion for future research would be looking for that factors that lead to that volume change and their mechanisms, but until then, please make sure you get quality enough sleep. Thank you.