食色视频

KENNESAW, Ga. | Feb 21, 2025

Each year, 食色视频 State University undergraduate researchers participate in Posters at the Capitol in Atlanta, hosted by the Georgia Undergraduate Research Collective. The event provides undergraduate students a unique opportunity to present their innovative and impactful research projects to state officials, policymakers, and Georgia鈥檚 constituents.  

鈥淧osters at the Georgia State Capitol is an important event,鈥� Director of Undergraduate Research Amy Buddie said. 鈥淯ndergraduates from all around the state present their work to state government officials. It's a chance for the students to network and present their research to a different kind of audience. The students presenting from 食色视频 are so impressive -- our students are engaged in cutting-edge work in mathematics, psychological science, and electrical engineering.  

Here鈥檚 a look at the projects 食色视频 students are presenting this year. 

Radiation Capsule Feasibility Using Monte Carlo Damage Simulation and COMSOL Multiphysics 

Students: Cassidy Moreau and David Roque 

Major: Public Health  

Faculty Advisor: Hoseon Lee 

Responses provided by Cassidy Moreau. 

Can you give a brief overview of your project? 

Cancer cases are rising, increasing the demand for faster and more effective treatments. Traditional radiation therapy can take months, so our goal is to shorten treatment time to just days without increasing harm to healthy tissue. We鈥檙e developing a tiny, implantable capsule that can be activated wirelessly. The device will deliver targeted radiation more efficiently using a controlled, low-energy source. We are optimizing its design with advanced simulations, to ensure precise radiation delivery and improved effectiveness. 

What does it mean to you to have鈥�this opportunity to present at the Capitol? 

Presenting at the Capitol is an incredible honor and a chance to share our research on improving cancer treatment. It鈥檚 exciting to showcase our work and connect with people who can help push this research forward. I am also looking forward to seeing other research projects and learning from them. 

The Classification of Internet Memes Through Supervised and Unsupervised Machine Learning Algorithms 

Student: William Little  

Major: Computer Science 

Faculty Advisor: Pengcheng Xiao 

Can you give a brief overview of your project? 

In this project, we utilized Google Trends to draw large amounts of time-series data (the popularity over time) on over 2,000 memes. This unlabeled data was then fed into an unsupervised clustering algorithm, known鈥�as 鈥楰-means clustering.鈥� The resulting four clusters of memes ended up rederiving the same four popularity patterns as established in a prior paper that used an SDE (Stochastic Differential Equation) model instead of machine learning.鈥�  

We further reinforced these previous results by taking advantage of Silhouette Score, a metric that tells us the quality of our clusters, using it as a heuristic to help prove that four popularity patterns are likely the optimal number.鈥�  

Finally, we trained a classifier AI model using the linear Support Vector Classifier (SVC) algorithm resulting in a model that could classify meme popularity patterns with over 90% accuracy. Memes were also categorized as "viral video,鈥� "image," and "pop-culture reference." This way, we could observe the typical popularity pattern for such a meme (i.e., the distinct way its popularity rose and fell over time). 

What does it mean to you to have鈥�this opportunity to present at the Capitol?鈥� 

It is a great honor to be able to present at the Capitol. When I first started on this project, I was afraid of how seriously meme research would be taken, but the success we have had with the project and its results have clearly demonstrated its promise, both to me and to all conferences where I have previously presented. I am overjoyed to be recognized for the hard work that I have put into it, something that also couldn't have been done with the guidance of my excellent PI, Dr. Pengcheng Xiao. 

Applying Attribution Theory to Understand Perceptions of Sexual Harassment 

Students: Abigail Dingess and Courtney Everett 

Major: Psychology 

Faculty Advisor: Danica Kulibert 

Responses provided by Abigail Dingess. 

Can you give a brief overview of your project? 

Through two studies, we examined the correlation between four dimensions of control and what people labeled as sexual harassment. We did so by providing an assessment in the first study and examples of behavior with different situational factors in the second study. We found that the less people attribute a behavior to dispositional factors, something within the control of the acting individual, the less they labeled the behavior as sexual harassment. For example, if 鈥淧erson X鈥� made sexual remarks to a co-worker while intoxicated and it was not in their character to do so, study participants were less likely to call this behavior sexual harassment. If 鈥淧erson X鈥� made the same remarks to a co-worker and was known to do so often, participants were more likely to call this sexual harassment, even when the behavior described is the same. We hope future research will also look at how the intent and impact of the target behavior change the labeling of behavior as sexual harassment.鈥� 

What does it mean to you to have this opportunity to present at the Capitol?鈥� 

It is an incredible opportunity to present at the Capitol. The application of research like ours in the legislative world is very real. After all, it is important to understand how laws surrounding sexual harassment may be interpreted depending on how a judge or jury attributes the behavior in question. How we define behaviors that make up sexual harassment is a complex process, and attributions are an important part of the discussion.鈥� 

I also hold tightly the honor of representing 食色视频 on this stage. I have presented at other conferences and in other spaces, but this is one of the most important experiences I have had so far.鈥�  

鈥� Story by Alyssa Ozment

A leader in innovative teaching and learning, 食色视频 offers undergraduate, graduate, and doctoral degrees to its more than 47,000 students. 食色视频 State is a member of the University System of Georgia with 11 academic colleges. The university’s vibrant campus culture, diverse population, strong global ties, and entrepreneurial spirit draw students from throughout the country and the world. 食色视频 State is a Carnegie-designated doctoral research institution (R2), placing it among an elite group of only 8 percent of U.S. colleges and universities with an R1 or R2 status. For more information, visit kennesaw.edu.