BIO

Maegan Smarkusky is a Presidential Scholar pursuing a major in political science and a minor in philosophy of law from New Port Richey, Florida.

Learning From Personal and Impersonal Political Discussion

Abstract

The purpose of this research project is to better understand how social image plays a role in an individual's response to certain political issues. This research will fill a gap in second-order thinking research pertaining to political interaction and policy review. The overall study involves an individual's response to a relevant policy followed by a peer’s review of the response where the listener can decide to reward the respondent for their response. The most recent portion of the project involves reviewing responses and annotating them based on different interpersonal and political factors. The results are currently not conclusive, but they will be very useful to determine how to best structure political discussion in the future to minimize inaccuracies in public opinion due to second-order thinking.

Keywords: Political discussion, second-order thinking, policy

BIO

Charlotte Nafe is a Sophomore at Florida State University, majoring in International Affairs and concentrating in religion. She is the Assistant Director of Involvement of the Internationally Ranked FSU World Affairs Program and currently works in the Office of the Provost at the University, specializing in quality enhancement and administration. Charlotte adores traveling, reading, writing, and spending time in nature. She is incredibly thankful to her friends, family, professors, and mentors for their undying support and guidance. She hopes to continue her study of academic religion in her future career and intends to pursue degrees in higher education.

Women, Religion, and Emotion; 19th Century Readings and Discoveries

Abstract

How did the coercive, hierarchical, byproduct of the psychological need to understand why human beings exist, religion, affect women in the 19th century? Through meticulous reading, analysis, and discussion of preserved journals, diaries, and letters from women living in the 1800s, the authors of this paper have begun to untangle the emotional implications of religion for women in America. Status, class, marital status, motherhood, friendship, grief, joy, family, politics, and love are inextricably linked to shape lives. The authors ascertained that women approach religion from the areas of obligation, necessity, and circumstance. Some women clung to God as life source, others participated in organized religion for the social aspect, and still others studied theology from an academic perspective. Gender roles in America before women’s suffrage were exacerbated by Christianity in the United States, and religion was often used to keep women in their proverbial place. The discoveries and discourse from this research is pivotal as women, religion, and emotion interact in much the same way as they did 200 years ago, despite progressive movements, and learning from the past is essential to survive the present, and improve the future. Ultimately, it was determined that women in patriarchal social structures often must fulfill emotional obligations to meet the feelings deemed appropriate by the society in which they live.

Keywords: Religion, Emotion, Women, History

BIO

My name is Aidan Cameron and I am from New Port Richey, Florida, currently majoring in political science with a minor in economics. Following the completion of my undergraduate degree, I plan on attending law school.

Beyond Debate: Understanding the Dynamics of Collective Deliberation in Decision-Making

Abstract

For the political process to work, elected officials must work together to make the best decisions for their constituents. One central part of the political process in the U.S. is committees, where a select group of elected officials serves on a committee of a specific issue area to hear bills and witnesses. For a bill to come to the floor, it must be voted through by the committee members. In order for there to be a successful outcome, members must work together to pass different legislations with all of their priorities. However, some factors- like power, outside influence, and structure- can influence how effective working together can be. Collective deliberation is when group members come together to debate the pros and cons of each decision to create a more informed outcome.

Keywords: Politics, Collective Deliberation, Government, Committees

BIO

Hello! I'm Marta Szymanska, a Management Information Systems major deeply intrigued by the relationship between technology and business analytics. In pursuit of a well-rounded education, I plan to add a minor in business analytics and expand my knowledge in financial markets and FinTech. My passion for artificial intelligence, finance, and technological advancements fuels my ambition to carve a career in the field of business intelligence or analysis.
I look forward to contributing to the evolving landscape of data-driven decision-making and I aspire to not only adapt but also spearhead innovation within organizations by harnessing strategic data utilization. Through active involvement in the Securities Society club and continuous exploration of emerging technologies, I'm cultivating a robust skill set aimed at addressing the challenges and opportunities of tomorrow's business world in driving innovation and efficiency within organizations.

Intergenerational Influences on Conspicuous Consumerism in the Age of Artificial Intelligence: A Cross-Examination of AI's Role in Retail Consumer Behavior

Abstract

The research project, “Intergenerational Influences on Conspicuous Consumerism in the Age of Artificial Intelligence: A Cross-Examination of AI's Role in Retail Consumer Behavior," dives into exploring the connection between various generations and their behavior as consumers amidst the increasing presence of Artificial Intelligence (AI) in the retail industry.
This research project examines the current continuous trend that in spite of industrial advancements and the incorporation of AI in retail, consumers' core values remain comparatively stable within each generation. This inclination proposes that generational influences play a fundamental role in shaping the modern consumer's attitudes and preferences.
The current data and research suggest that AI’s newfound diverse abilities grant prolific grounds for it to develop as a cutting-edge creative tool in designing marketing strategies that appeal to multiple diverse generations and AI seeks to satisfy multigenerational desires and needs.
The research team primarily used a survey that was developed deliberately to be shared through varied networks to increase the probability of a varied participant pool. The team utilized the FSU alumni organizations, LinkedIn, and the local Tallahassee community.
By better understanding the modern customer, firms can adapt their strategies and campaigns to line up with progressing consumer expectations, thus nurturing a dynamic and receptive retail environment in the era of Artificial Intelligence.

Keywords: Marketing, Consumerism, Artificial Intelligence

BIO

I am from Nashville, TN and am currently a Sophomore in the Honors Program at FSU. My research interests include the fields of Psychology, Law, and Policy, specifically regarding foster care/adoption. I hope to use my passions and experiences to improve the lives of children in the United States foster care/adoption systems. After completing my Undergraduate degree, I intend to further my education in Law school or Graduate school to help me reach my career goals in the field of child advocacy law and policy research for foster care/adoption.

“The Way They Teach Math Nowadays!” Parents’ Mental Math Strategies, Attitudes, and Engagement with Educators Predicting Children’s Math Achievement

Abstract

There are many factors that can affect children’s mathematical performance. Specifically, children’s learning environments and their interactions with others in these environments can play a role in their development. This project is focused on examining the role that home- and school-level factors play in elementary school children’s mathematical performance. Although research exists that connects the broader home mathematics environment to children’s early math skills, further exploration is necessary to understand the role of specific parent–child interactions – such as homework help – and the quality of communication between parents and educators on children’s mathematical achievement. In doing so, this research can provide educators with a deeper understanding of how to best support students and families from various backgrounds. In part of a longitudinal study, parents completed a survey about the home environment, homework help interactions, and the quality of communication with their child’s math teacher. Children’s math achievement was assessed through a standardized test administered in the classroom. Using quantitative analyses, this research project found that parents who used mental math strategies aligned with Common Core State Standards, such as decomposition, reported facing fewer difficulties when helping their children with math homework than parents who used traditional or vague strategies.

Keywords: math, children, psychology, parent, educator

BIO

I am a second-year student currently volunteering with FSU's Lemmon Lab to study speciation in chorus frogs. This involvement has allowed me to enhance my knowledge in biological computing as well as data analytics in order to further understand phylogenetics. I have always had a strong interest in wildlife biology and aim to continue developing myself as a researcher here at FSU. With future plans to pursue a career in wildlife veterinary medicine, I hope to build a strong background in animal research so that I can treat my future patients to the best of my ability.

Genetic Variation Within The GABA Receptor In Pseudacris And Its Impact On Speciation

Abstract

This study uses Pseudacris nigrita and Pseudacris ferarium, more commonly known as chorus frogs, to examine candidate genes that lead to differences in neurological response to mating call stimuli. Specific focus is being placed on the GABA-A neuroreceptor region which is known to affect responsiveness to auditory stimuli. We sequenced DNA reads from a sample of seventeen Pseudacris and aligned them with one another. Heterozygosity tests were run using the Geneious Prime application to determine potential genetic variation. The results proved similar to the hypothesized outcome where there was some nucleotide variation among the several Pseudacris samples, but no amino acid variation. These results were expected because significant amino acid variation would likely cause drastic differences in neurological response that would be uncommon for Pseudacris individuals. The findings of this study open up further questions concerning the consistency of these findings across other GABA subunits, as well as other neuroreceptors such as AMPA and NMDA. There are also opportunities to compare this genetic variation to the same genes in humans to determine if these findings can also be extrapolated to human speciation. These findings set a precedent for future research to determine how genetic variation can contribute to the neurological processes responsible for sexual selection, and how this can affect the evolution of a species as a whole.

Keywords: Evolution, Genetic Variation, Biology, DNA Sequencing, Neuroreceptors

BIO

I am a sophomore from Tampa, Florida and enjoy going to the beach, working out, and spending time with my friends. At Florida State, I am majoring in nursing and hope to work in the neonatal intensive care unit in the future.

Exploring Apparel Options for Working NICU Mothers: Development of a Breastfeeding Garment

Abstract

In a mother’s postpartum journey with her newborn, kangaroo care and breastfeeding are influential factors for both their physical and mental health. Kangaroo care is skin-to-skin contact between mother and infant. Especially in the neonatal intensive care unit (NICU), this form of care is crucial as the NICU babies require additional medical support to become healthy. There are several barriers that mothers encounter in the NICU that make it difficult to perform kangaroo care and breastfeeding. For instance, there are very few garments that are available to mothers in the NICU that help them facilitate kangaroo care and breastfeeding. Since the majority of the infants in the NICU are low birth weight, they do not fit into the garments provided. In addition, the garments are uncomfortable for the mothers to wear after surgery or do not accommodate for the several wires attached to the infant. In order to find a garment that would best aid the mother and infant, mothers who have had their babies in the NICU, neonatal nurses, and lactation consultants were interviewed. The interviews were transcribed and coded to determine what the overlapping themes and desires of mothers were. It was discovered that many mothers wanted something that looked normal, breathable, and easy to remove. By understanding what mothers want, a breastfeeding garment that will provide comfort and support can be made.

Keywords: Breastfeeding, Neonatal, Garments, Mothers

BIO

My name is Adrian Kolber, and I’m from Fort Lauderdale Florida. I’m a Marketing major here at FSU. When I first heard the pitch for this research project, I knew that it could evolve into something that is much broader than just the sum of its parts. By studying ancient cave drawings and their relations to modern day emojis, we were able to connect our findings to modern marketing culture and how we use similar tactics today to communicate messages as we did thousands of years ago. This project has allowed me to understand my own consumer habits both historically and psychologically, and has changed the way I view visual communication altogether.

Emojis: Caves to Commerce

Abstract

"Emojis, Caves to Commerce: Exploring the Evolution and Impact of Visual Language in STEAM" led by Dr. Daljit Kaur Chhina investigates the transition from ancient cave drawings to contemporary emojis, emphasizing their pivotal role in Information Technology, Arts, and Business (STEAM). This multidisciplinary project delves into the cultural and historical significance of cave art, the emergence of written language, and the evolution of emojis, showcasing their indispensable role in global communication. The research tasks cover aspects such as emoji usage patterns, psychological impacts, business strategies, and legal considerations.
The project hypothesizes that the evolution of visual language significantly influences human communication in STEAM fields, with emojis playing a crucial role in user engagement, marketing, and digital interfaces. Preliminary results suggest a clear link between ancient symbols in cave art and modern emojis, with examples like the flame emoji reflecting symbols associated with fire in prehistoric art. Business emojis, including the Smiling Face, Handshake, Nerdy Emoji, Check Mark, and Ok Hand Emoji, positively impact customer perception, trust-building, and effective communication in various business contexts. In essence, this UROP project underscores the interconnectedness of visual language evolution and its profound implications in the contemporary STEAM landscape, shedding light on the diverse applications of emojis in modern communication and business strategies.

Keywords: Emoji, Art, STEAM, Commerce, Caves

BIO

Hi! I'm Amelia McNish from West Palm Beach, a student pursuing a dual degree in International Affairs and Environmental Science & Policy. I am also pursuing a certificate in Emergency Management and Homeland Security! I'm grateful for the amazing opportunity to work with David Merrick and more on this project through UROP!

Development of a Remote Sensing and Unmanned Aircraft Systems Handbook for Disaster Response

Abstract

GIS (Geographic Information Systems) and UAS (Unmanned Aircraft Systems) are important technological tools that have emerged in the last 30 or so years, with many potential and groundbreaking uses in emergency management. Emergency management is a broad and emerging field that tends to have differing standards of operation and techniques based on region and location. The purpose of this research was to compile some of these new techniques in differing areas of emergency management and create new standardized workflows from them through a combination of literature reviews of case studies and other guidebooks, and an analysis and test of these methods through expert experience. This is all used by the team to create a multi-dimensional handbook to include each potential method of disaster response using UAS and GIS technologies. The primary contributions to this research included analyzing academic papers on the subject, identifying the necessity of standardized disaster response methodology, and writing workflows to be embedded into the final handbook. The research was split between the applications of GIS & UAS in both hazmat and urban search and rescue situations on top of generalized Emergency Management.

Keywords: Unmanned Aerial Vehicles, Geographic Information Systems, Urban Search and Rescue, Remote Sensing, Disaster Response

BIO

I am a second-year student majoring in IT with a minor in Innovation, with the intention to graduate in Spring 2025. My career interests lie within the field of Network Security along with a relatively new interest in relation to the Automotive Tech field. I have been an active member of the Cybersecurity Club at FSU and have participated in ethical hacking events to strengthen my understanding of preventing system vulnerabilities from being exploited. Furthermore, I am actively conducting research on Resource Sharing to Enhance Safety through Vehicular Networks in Autonomous and Semi-Autonomous Vehicles. Using Game Theory algorithms, my research team and I plan to simulate various scenarios where the safety of our roads is pushed to its limits, and better find a way to implement a solution.

Cultivating Safer and Smarter Roads: Resource Sharing for Enhanced Transportation in Autonomous and Semi-Autonomous Vehicular Networks

Abstract

One of the promises of autonomous or AI-aided vehicular networks is that transportation tasks will become much more efficient and safe. New and advancing technologies make these promises possible, with sensors for perception, classification algorithms, and model-based predictive systems. However, a complex socio-technical system is created when autonomous driving and human operations coexist, evidently posing issues with technical safety as well as possible ethical and legal dilemmas.

Although most drivers do not have access to a full autonomy control loop, a large percentage of cars on the American market today are equipped with varying degrees of sensors that detect various surroundings and promote safety features. This project targets autonomous or semi-autonomous vehicles, while further addressing the issues of safe and effective transportation by enabling resource sharing at the micro and macro cloud infrastructure levels.

During this project, our team has worked on specific case scenarios, where an autonomous vehicle faces an intersection dilemma, while simultaneously taking into consideration how the vehicle should proceed in residing actions. With this understanding from simulations and predictive-based models, we plan to begin developing a zero-touch vehicular network infrastructure to share sensorial data available in nearly all conventional vehicles, whilst maintaining awareness of the diversified roads in our society.

Keywords: Autonomous Vehicle, Engineering, Computer Science

BIO

Hello! My name is Lucas Gonzalez, and I am proud to call Miami, Florida my hometown. Growing up in such a vibrant and culturally diverse city has profoundly shaped my perspective and ignited my interest in understanding the complex dynamics between citizens and the state. My research goals lie at the intersection of political science, sociology, and public policy. Through my academic pursuits, I aim to develop a comprehensive understanding of the intricate relationships between governments, institutions, and the people they serve. My ultimate career goal is to work within the realm of policy-making and advocacy, either in the United States or Germany. I aspire to be part of a generation that prioritizes collective decision-making, ensuring that the voices of all individuals are heard and considered.

Achieving Equal Access to Clean Water: Investigating Systemic Gaps and Solutions

Abstract

Although a lack of access to clean water can have a significant negative impact on a community's well-being, lead-exposed water is a problem that disproportionately affects Black and Brown communities in the United States. This paper explores the institutional, environmental, and political obstacles to clean water access in a number of low-resource communities, including Baltimore, Philadelphia, Newark, and Flint, Michigan. With a meta-analysis of earlier studies, we identify key challenges in securing clean water access and highlight significant implications for affected groups. Additionally, we explore variations in access to environmental hazards using statistical data from the State of Michigan's Lead Prevention Program, the US Census Bureau, and the US Environmental Protection Agency. Our findings illustrate possible pathways for communities to catalyze political will and resources to address infrastructure and secure equal access to clean water. Additionally, findings aim to inform young people about public health disparities while guiding targeted advocacy supporting equitable community development in US cities facing these urgent clean water access challenges.

Keywords: Water Inequality Flint Public Health

BIO

My name is Yvonne, and I am currently a sophomore majoring in cell and molecular neuroscience. I have always been fascinated by the complexities of biological systems and their potential applications in improving human health. Beyond my current research endeavors, I aspire to pursue a career in medicine as a pediatrician.

Synthesis of S-Adenosylmethionine Using Escherichia coli SAM Synthetase

Abstract

S-adenosylmethionine (SAM) is an important molecule that participates in many biological processes, such as antibiotic biosynthesis in bacteria.1 The commercially available SAM usually contains 20-30% impurity. This is because SAM isomerizes from (R,S)-configuration to (S,S)-configuration, only the former of which is biologically active. In this study, Escherichia coli BL21(DE3) was used to overexpress SAM synthetase, which was then used to synthesize SAM in vitro.2 SAM synthetase acts as a biocatalyst, facilitating the chemical reaction between methionine and ATP. I adapted and optimized the protocol of SAM synthesis and analysis. My research offers insights into enhancing the efficiency of SAM production, thereby fostering the development of novel antibiotics in the future.

Keywords: Biochemistry, Synthesis, E.coli, Synthetase

BIO

I am a transfer student, and this is currently my final semester of my undergraduate studies. I am interested in 3D microscopy, as well as understanding more about molecular biology. I also plan on attending graduate school at FSU for the Cell and Molecular Biology Doctoral Program. I would like to one day be a lab manager in a government facility or become a college professor, maybe both!

The Search for Mitotic DNA Synthesis (MiDAS) in Maize Root Tips

Abstract

This ongoing study uses 3D epifluorescence imaging to understand the implications of Mitotic DNA synthesis (MiDAS), a rare and elusive abnormality within DNA synthesis. The study uses both primary and secondary (seminal) root tips of maize (Zea mays L.) strains to create multi-nucleic slides that were then observed using fluorescent staining techniques. The Leica Thunder Imaging System then captured 3-D, multi-wavelength (DAPI for DNA, FITC for DNA synthesis) image files that were uploaded to OMERO server (omero.bio.fsu.edu) for visual analysis. Data was derived through observations and quantified by distinguishing mitotic cells from other nuclei. The stains were then cross referenced with each other to detect MiDAS within the mitotic cells. Overall, the study processed imagery gained from multi-nucleic slides to detect and determine MiDAS within root tips of maize. The results so far showcase MiDAS as a rare occurrence in maize root tips.

Keywords: Microscopy, Genetics, Nuclei

BIO

As a freshman at Florida State University, I am pursuing a dual degree in Risk Management/Insurance and Human Resources, with a keen interest in learning how to manage risks and human capital in various contexts and industries. I am also passionate about exploring the intersection of technology, innovation, and entrepreneurship, and how they can create value and impact in the society.

Applying the Business Model Canvas to the SBRI Grant

Abstract

The Small Business Innovation Research (SBIR) grant provides small businesses with the opportunity to access federal funding and support for research and development endeavors. The introductory step that businesses must do is submit a three-page grant proposal, and an illustrative tool for SBIR officials named Quadchart. The submitted information includes details about the target customer, market opportunity, and value proposition. 
The proposal answers a series of essay questions, which can be a daunting task, especially for small businesses To tackle this challenge, we propose utilizing the Business Model Canvas (BMC), an ontological business information tool designed to document business models

Keywords: Drone, AI, Grant

BIO

I grew up in Venice, Florida, and I’ve known I wanted to study meteorology for most of my life. I hope to eventually work for the National Weather Service as a forecaster, or as a hurricane specialist for the National Hurricane Center.

Analysis of Crop Burning Rules in Florida Using Surface and Satellite Measurements

Abstract

Prior studies have established that sugarcane farming and its associated burning practices in the Florida Everglades Agricultural Area contribute significantly to fine particulate matter [diameter <2.5µm (PM2.5)] concentrations in South Florida, which poses measurable health risks for vulnerable populations. Here we analyze recent satellite and surface data with a goal of identifying any measurable change in PM2.5 concentrations resulting from newly enacted regulations on those farming practices. While satellite data is useful, it is not without error, and to complete an accurate analysis, we must first identify any large discrepancies between satellite data and ground measurements. Using raw satellite derived PM2.5 concentrations, we calculate monthly averages over Florida for the period from 2010 through 2022. We then select surface observation sites throughout Florida with a high percentage of daily data for that same period and calculate monthly averages for those sites. We find the error between satellite and surface measurements for those points and use radial basis function interpolation to approximate satellite measurement errors across the state. Applying these errors to the satellite data, we can create and visualize a more accurate dataset of PM2.5 concentrations. This analysis and data adjustment will allow us to compare the pre- and post-regulation periods and reach a conclusion about what difference, if any, the new regulations have had on PM2.5 concentrations in South Florida. Further research will then yield a clear understanding of whether more new laws are necessary to reduce the hazardous impact of sugarcane farming on air quality.

Keywords: Pollution, Everglades, Agriculture, Florida, Meteorology

BIO

I am a pre-medical student with a strong interest in neuroscience, specifically the interaction between neural networks and cognition. Being born and raised in Argentina, I am also passionate about enhancing inclusivity within the healthcare system, particularly by addressing language barriers. This is why I am a Spanish Medical Interpreter and why I provide tutoring for English as a Second Language (ESL) adults. In the future, I aim to be a physician.

Social Judgement and Approach-Avoidance Behavior in Social Anxiety Disorder

Abstract

Social anxiety disorder (SAD) is characterized by excessive fear of embarrassment when engaged in social interactions, which affects overall quality of life. There are two emerging concepts used to characterize social anxiety: impaired social judgment and approach-avoidance bias. Previous research has used approach-avoidance tasks (AATs) to investigate exaggerated impairments in approaching angry individuals in participants with SAD. Our prior work shows how delta-beta coupling strength increases during situations that require greater cognitive control or the translation of abstract goals into motor actions during decision-making. Furthermore, there is preliminary research suggesting that delta-beta coupling could be altered in SAD. In this study, participants perform a novel computerized task (SJ-AAT) while EEG data is recorded. This task requires them to make a social judgment and then approach or avoid an angry face using a joystick. On some trials (incongruent), participants should approach the angry faces, a behavior that represents greater conflict in participants with SAD. As a control condition, we include happy faces. We hypothesize that participants with SAD will display increased delta-beta coupling for social judgements on incongruent trials. Additionally, we hypothesize that participants will have increased response time for social judgements on incongruent trials and that participants will have reduced accuracy for anger evaluation between SJ-AAT faces as a function of social anxiety severity. This study will allow us to better understand the role of the prefrontal cortex in socially relevant judgements and avoidance behavior in SAD. The long-term goal is to develop novel approaches for the treatment of SAD.

Keywords: social anxiety delta-beta oscillations approach-avoidance task (AAT) perception

BIO

My name is Angelina Dobbs, I'm a sophomore student from Denver, Colorado. My research interests include women's studies and behavioral neuroscience. In the future I would like to become a book editor or conduct neuroscience research.

Culture, Conversations, and Social Networks in 18th- & 19th- Century Italy - Reframing Identity: Isabella Teotochi Albrizzi's Cultural Networks

Abstract

In the 18th century, Enlightenment salonnières popularized the pseudo-literary genre of narrative portraits, descriptions of a known person's outward appearance and character, as guessing games in their salons. While people thought women lacked the breadth of knowledge and talent required for proper biographical writing, these "literary" endeavors, rooted in the developing notions of psychology, were acceptable because women were thought to excel at knowing true character. The celebrated Venetian salonnière, Isabella Teotochi Albrizzi (1770-1836) published four editions of her Ritratti (a book of narrative portraits describing the famous men in her salon), which she dedicated to her son as an educational tool to understand people better. As the editions of her book grew in complexity through the inclusion of a critical essay and the biography of a renowned Italian poetess, Teotochi Albrizzi challenged social and literary gender norms. By the last edition, she had reframed her identity into that of a respected literary critic and published author. She accomplished this with the editing, collaboration, and credibility she received from those in her social networks, which enabled her to demonstrate her own merit. By analyzing the additions and changes in Teotochi Albizzi's work, I trace the function of her educational relationships and show how social networks can become a narrative tool to construct the self.

Keywords: Italian, women, history

BIO

Hi! My name is Marissa Young, and I am a second-year student at Florida State University. While I am currently majoring in Cyber Criminology with a minor in Information Technology, I'm in the process of switching to Information Technology on the pre-nursing track. My interest in nursing is greatly influenced by my mother, who is an amazing nurse. Her compassion in helping others inspired me to pursue a career where I can directly impact people's lives. I'm particularly drawn to working with children in the nursing field, aspiring to become a nurse pediatrician. My research experiences have deepened my passion to make a positive difference in young lives.

MAP-R: Morphological Analysis Pathway to Reading

Abstract

An innovative educational curriculum called the Morphological Awareness Pathway to Reading (MAR-P) focuses on morphological awareness to improve students’ reading abilities. The MAR-P curriculum is based on a wealth of research that emphasizes the vital role that morphological awareness plays in the development of reading comprehension. Students work on morpheme recognition, analysis, and manipulation through engaging, hands-on exercises. Through the development of a profound comprehension of word formation and structure, MAR-P seeks to provide unique students with the abilities required for effective reading. To meet the requirements of each student, MAR-P considers the diversity of learners and uses individualized instruction. To facilitate successful implementation in a variety of school settings, including those that include English, Spanish, and ASL, it offers educators a range of tools, such as lesson plans and activities. The method integrates morphological training into current reading programs in a seamless manner, emphasizing the proper delivery of literacy instructions to students who are multilingual learners with or at risk for language disabilities. According to research findings, kids who take part in the MAR-P program show notable gains in their vocabulary growth, reading comprehension, and general literacy abilities. Apart from its academic advantages, MAR-P supports a good and stimulating learning environment between students, families, and faculty. The curriculum provides kids with the necessary tools to become competent readers by integrating morphological awareness, laying the groundwork for both academic achievement and a lifetime love of learning.

Keywords: MAP-R

BIO

Welcome to my profile! I'm Hoang, a student from Vietnam, and currently, I'm majoring in Computer Science. I love learning about data structures & algorithms, a powerful tool that helps me categorize and tackle coding problems efficiently. Outside of school, I love playing action games and watching thriller movies like most people. Large language models have captured my attention for a while, and thanks to UROP I had the opportunity to meet wonderful mentors who are very knowledgeable about this area and learn more from them. I hope to leverage the skills and knowledge attained from Florida State University to contribute to our shared knowledge of science.

Do Large Language Models Reason In A Bayesian Fashion?

Abstract

We investigate the hypothesis that large language models (LLMs) such as GPT-4, Mixtral-8x7B, and Phi-1.5 learn concepts in a manner consistent with Bayesian inference. To assess this capability, the LLMs are tasked with guessing a concept given a sequence of words. We first approximate the LLMs' prior over concepts to then approximate its posterior over concepts after a word has been presented to it. We then compare the LLM posterior with that from Bayesian inference. Additionally, the study explores the extent to which temperature influences the posterior's conformity to Bayes' Rule. Our investigation aims to enrich the understanding of Bayesian reasoning in LLMs and its implications for model performance. Our results suggest that the posterior update does not conform to Bayesian statistics, invalidating the original hypothesis.

Keywords: bayesian, math, large language model, LLM, AI

BIO

Shane McCord is a junior classical archaeology major in the College of Arts and Sciences. He is from Ocala, Florida, and has had a vested interest in and passion for all things history—and archaeology-related since a young age. His current areas of interest relate to the ancient Mediterranean, particularly Roman archaeology and history, and he has goals to continue this field of study into graduate school and beyond. Shane hopes to obtain his PhD in classical archaeology and become a full-fledged professor. Other interests include numismatics, ancient and medieval art, and architecture.

Analyzing 3rd Century C.E. Coins at the Archaeological Site of Cosa

Abstract

The site of Cosa on the Tuscan coast, Northwest of Rome, is one of the most important and representative locations in the corpus of American study and activity in Roman archaeology. The colony of Cosa, which has experienced intermittent excavation campaigns since 1948, is the focus of a research project conducted with doctoral student Melissa Ludke. Her project organized and inventoried the coins discovered during these excavations and acted as the basis for this investigation. Moreover, this poster displays and analyzes third-century coins from this catalog, utilizing mapping technologies to create a map that assists in contextualizing certain regions of the site and provides a deeper understanding of the city’s inhabitation and activity during the third century CE. The significance of the spatial relationships between the find locations of the coins and the larger city plan and the urban landscape can bring to light potential areas of the town that were in use during this period and introduce a perspective that has seen little focus in the scholarship of Cosa until recently. Thus, modern software, such as AutoCAD, allows the find spots to be tied to actual geophysical data and offers a method to create an accurate overall site map for plotting coins.

Keywords: Roman, Archaeology, Coins, Cosa, Classics