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Voice-Controlled Unmanned Aerial System Using A Fine-Tuned Small Language Model For Real-Time Command Parsing, Owais Ahmed, Joseph Stanziano, Ram Sudharsanan, Raj Kondragunta, Adeel Khalid Apr 2026

Voice-Controlled Unmanned Aerial System Using A Fine-Tuned Small Language Model For Real-Time Command Parsing, Owais Ahmed, Joseph Stanziano, Ram Sudharsanan, Raj Kondragunta, Adeel Khalid

Artificial Super Intelligence (ASI) Conference

This paper presents the concept and architectural design of a voice-controlled Unmanned Aerial System (UAS) that leverages a fine-tuned Small Language Model (SLM) to convert natural language voice commands into structured MAVLink flight instructions in real time. A custom quadcopter platform has been designed and assembled with a Pixhawk flight controller, and a web-based interface has been developed to integrate browser-based speech recognition with on-device SLM inference. We describe a systematic evaluation methodology for five candidate SLMs spanning encoder-decoder and decoder-only architectures, a custom dataset of 5,450 labeled drone command samples covering 11 operational command types and an unknown rejection …

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Xagentmaint: Explainable Agentic Systems For Predictive Maintenance In Industrial Digital Twin Environments, Shikhar Patel, Sankeerth Adisha Apr 2026

Xagentmaint: Explainable Agentic Systems For Predictive Maintenance In Industrial Digital Twin Environments, Shikhar Patel, Sankeerth Adisha

Artificial Super Intelligence (ASI) Conference

Predictive maintenance in manufacturing demands more than accurate failure forecasting. Maintenance engineers require transparent and auditable decision rationale to act confidently. Industrial digital twin environments produce rich and continuous streams of sensor data. Existing AI models typically surface only numerical anomaly scores without contextual explanation. This paper presents XAgentMaint, an explainable agentic AI framework for predictive maintenance. The system integrates a Retrieval-Augmented Generation knowledge base with a ReAct reasoning agent. An XGBoost failure classifier serves as the core prediction component throughout the pipeline. All three components are evaluated on the NASA CMAPSS turbofan degradation dataset across all four sub-datasets (FD001-FD004), …

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More Utilitarian Or Less Deontological? A Process Dissociation Approach, Kyle Fleming Apr 2026

More Utilitarian Or Less Deontological? A Process Dissociation Approach, Kyle Fleming

Undergraduate Student Symposium

It is well known in consumer behavior research that normatively equivalent tasks can elicit different preferences. Recent work has extended this finding to moral judgments, showing that matching tasks elicit stronger utilitarian preferences than choice or rating tasks. However, the processes driving these reversals remain unclear. According to the reflective utilitarian view, deeper processing increases utilitarian tendencies (i.e., the perceived importance of the outcome increases relative to the intrinsic moral value of the action). The intuitive deontologist view posits that deeper processing decreases deontological tendencies (i.e., the moral value of an action becomes less important). Finally, the reflective minimalist view …

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A Civil War Of Screens: How Partisan Media Fractures American Democracy, Ava Khlopin Apr 2026

A Civil War Of Screens: How Partisan Media Fractures American Democracy, Ava Khlopin

Undergraduate Student Symposium

Political polarization in the United States has always consistently posed a fragile threat to democratic stability, as seen in historic timelines of the Civil War. With the rise of highly partisan media, these threats have rapidly increased over the past two decades, forcing ideological division and threatening our nation's unity once again. This research focuses on whether partisan media affects political polarization. The study utilizes the NES data set and incorporates Framing Theory, Selective Exposure Theory, and Participatory Media Theory to examine the relationship between exposure to a particular media stream and ideological extremity. The results indicate that viewers of …

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Understanding Atopic Dermatitis In East Asian Populations, Kaitlin Chao Apr 2026

Understanding Atopic Dermatitis In East Asian Populations, Kaitlin Chao

Undergraduate Student Symposium

Atopic dermatitis (AD) is a chronic inflammatory skin disorder driven by disrupted skin barriers and immune dysregulation. While much research has explored its mechanisms, most studies focus on generalized populations, overlooking critical ethnic differences. East Asian individuals, for example, experience a particularly high prevalence of AD, linked to unique genetic and immunologic patterns. Common FLG mutations in East Asians include R501X and c.3321delA; however, certain ethnic subgroups carry other variants, such as K4022X, S3296X, and S2889X, demonstrating how different mutations contribute to a range of atopic dermatitis severity. Immune analyses further reveal heightened Th17 and Th2 activation, elevated IgE levels, …

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Low-Dose Atropine As A Therapeutic Intervention For Myopia Progression, Annabelle Chang Apr 2026

Low-Dose Atropine As A Therapeutic Intervention For Myopia Progression, Annabelle Chang

Undergraduate Student Symposium

The prevalence of myopia (nearsightedness) is growing at an increasingly alarming rate throughout the world. Data from 2010 measured myopia presence in the world's population to be 27% yet is predicted to reach 52% by 2050. One of the most common interventions implemented today is low dose atropine (0.01-0.05%) which acts upon muscarinic receptors in the back of the eye to slow eyeball elongation. The objective of this experiment is to examine the effectiveness of low dose atropine on slowing myopia progression in children by monitoring refractive error and axial length. It was hypothesized that low dose atropine will produce …

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Importance Of Patient-Provider Concordance And Sickle Cell Disease, Hamza Atiq Shaikh, Shivank Lattupally, Stavya Gupta Apr 2026

Importance Of Patient-Provider Concordance And Sickle Cell Disease, Hamza Atiq Shaikh, Shivank Lattupally, Stavya Gupta

Undergraduate Student Symposium

Sickle cell disease (SCD) is a hereditary blood disorder that affects millions of people worldwide and approximately 100,000 individuals in the United States, with a disproportionate impact on African American communities. The disease is characterized by abnormally shaped red blood cells that restrict blood flow, leading to chronic pain, organ damage, and reduced life expectancy. While medical advances such as hydroxyurea therapy, bone marrow transplantation, and emerging gene therapies have improved disease management, many patients continue to experience barriers in receiving effective and equitable care. One factor that may influence patient outcomes is patient-provider concordance, defined as shared characteristics such …

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Vortex Generation In Dipolar Supersolids, Jacob Harl Apr 2026

Vortex Generation In Dipolar Supersolids, Jacob Harl

Miners Solving for Tomorrow Research Conference

Ultracold atomic gases offer highly tunable platforms for exploring complex quantum many-body phenomena. In addition, dipolar quantum gases of magnetic atoms featuring long-range anisotropic interactions are exquisite systems for realizing exotic phases-of-matter in an experimentally controlled way. A prototypical example is the supersolid state which simultaneously exhibits frictionless flow of superfuids and crystalline density modulation of solids. In this realm, we investigate the dynamical generation of vortex topological defects by imprinting a suitable phase jump in quasi-two-dimensional dipolar supersolids. This protocol enables the nucleation of a dark soliton which consecutively becomes unstable via the eponymous snake instability due to its …

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Elucidating Complex H Behavior In Amorphous Oxide Semiconductors By Machine Learning, Lucas Ethington Apr 2026

Elucidating Complex H Behavior In Amorphous Oxide Semiconductors By Machine Learning, Lucas Ethington

Miners Solving for Tomorrow Research Conference

In this project, the disordered oxide structures will be mapped by a machine-learning algorithm (e.g., HDBSCAN) to identify characteristic behaviors of the proton across different material densities and defect types. This should help identify the under-coordinated, highly distorted, weakly-bonded, and dynamically unstable atoms to predict the most probable H locations. This fast and accurate prediction of energetically favorable H distribution will enable a reliable and fast screening of a large number of AOSs with variable cation and/or anion compositions. The approach will help find AOSs with suppressed numbers of M-OH defects (that form deep electron traps, limiting the number of …

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The Structure Of Amorphous Alox And Its Role In H Distribution And Dynamics, Lana Herkenhoff Apr 2026

The Structure Of Amorphous Alox And Its Role In H Distribution And Dynamics, Lana Herkenhoff

Miners Solving for Tomorrow Research Conference

Hydrogen is known to be the culprit of electron decoherence in Josephson junctions, greatly affecting the performance of superconducting quantum circuits. For Al/AlOx interfaces, the challenge is two-fold: 1) similar Al-Al and Al-H bond strength promotes bond switching and, hence, facilitates vigorous H motion; whereas 2) oxygen has only a slight preference to form Al-O rather than H-O bond, implying that (meta)stable Al--O-H are likely to occur, especially in a disordered oxide. In this project, ab initio molecular dynamics (MD) simulations are employed to generate the atomistic models of Al2O3-x with oxygen vacancy defects and to quantify the H diffusion, …

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Wheel-Spoke Encoding: A Product Quantization-Compatible Radial Encoding Scheme For Convex Polygonal Data, Maris Reinkemeyer Apr 2026

Wheel-Spoke Encoding: A Product Quantization-Compatible Radial Encoding Scheme For Convex Polygonal Data, Maris Reinkemeyer

Miners Solving for Tomorrow Research Conference

Product quantization has historically been unapplied to GIS datasets, likely due to a mismatch between quantization’s input precondition of fixed, equal length vectors and GIS data’s inherent variability in the number of data points. Therefore, any quantization-compatible encoding method must operate independently of the data points within GIS records. The challenge is to balance the guarantee of producing fixed, equal length vectors with the preservation of semantic meaning present in the raw data. Here, we develop a radial polygon encoding method that achieves this balance while providing acceptable recall in a time complexity of O(nrv), where n is the number …

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Dynamical Transition From A Two-Dimensional Soliton To A Rogue Wave In Quantum Droplets, Punit Sesha Sai Turlapati Apr 2026

Dynamical Transition From A Two-Dimensional Soliton To A Rogue Wave In Quantum Droplets, Punit Sesha Sai Turlapati

Miners Solving for Tomorrow Research Conference

We investigate the nonequilibrium dynamics of two-dimensional quantum droplets: ultracold self-bound many-body states stabilized by the interplay of mean-field attractive interactions and repulsive quantum fluctuations. Flat-top ground state droplets are subject to an external potential, an attractive well and a repulsive barrier. Under the influence of the attractive well, we observe signatures of a Townes soliton formation, which for increasing strength of the well transitions into a two-dimensional rogue wave structure, a time-periodic highly localized configuration with amplitude three times larger than the background. The barrier instead favors a dynamical splitting of the droplet. We have developed a parallelized simulation …

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Analysis Of Autonomous Vehicle Survivability To 5g Communication Errors, Sydney Clark Apr 2026

Analysis Of Autonomous Vehicle Survivability To 5g Communication Errors, Sydney Clark

Miners Solving for Tomorrow Research Conference

Autonomous vehicles rely on low-latency, high-reliability data exchange for real-time perception and control. Disruptions such as packet loss, latency variation, protocol-level errors, and malicious interference can pose significant safety risks to both passengers and surrounding environments. This project aims to evaluate, quantify, and predict the survivability of autonomous vehicle systems to communication errors, with focus on 5G network environments. The impact of these communication impairments on vehicle stability and control will be investigated through high-fidelity cyber-physical simulation of the vehicle and its surrounding environment. Experiments designed to capture varying network conditions will be used to assess a broad range of …

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A Wearable Mxene-Based Sweat Sensor For Real-Time Monitoring Of Inflammatory Biomarkers, Ariel Pilger Apr 2026

A Wearable Mxene-Based Sweat Sensor For Real-Time Monitoring Of Inflammatory Biomarkers, Ariel Pilger

Miners Solving for Tomorrow Research Conference

Many conventional biosensing approaches rely on invasive sampling or bulky benchtop instrumentation, limiting their use in continuous and portable applications. This project focuses on the development of wearable sweat-based biosensors that enable non-invasive, continuous, and portable monitoring of physical, chemical, and biological markers. The system will be designed to target markers present in sweat and transduce the biochemical interactions into measurable electrical signals. These signals will be processed through integrated electronics to produce clear, interpretable outputs for users and medical professionals. Supporting circuitry including filters, amplifiers, and an independent power supply will be implemented as necessary to ensure signal accuracy, …

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Lay Summarization For Medical Patents, Manav Raja Vinotha Apr 2026

Lay Summarization For Medical Patents, Manav Raja Vinotha

Miners Solving for Tomorrow Research Conference

Technical documents, such as medical patents, are often inaccessible to non-expert audiences due to specialized terminology. This paper presents a multi-agent system for automated lay summarization that optimizes both quality and computational efficiency through strategic task decomposition. The proposed pipeline utilizes four specialized stages: autonomous medical entity retrieval from the Unified Medical Language System (UMLS), context distillation into lay conceptualizations, and a structured writer-critic loop for iterative refinement. By distributing cognitive load across specialized agents, this architecture effectively leverages smaller, cost-effective language models while maintaining the performance of SOTA LLMs. Evaluated against single-agent baselines using an LLM as a Judge …

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The Effects Of Preventing Dephosphorylation Of Lqg1 On Cytokinesis, Jenna Mueller Apr 2026

The Effects Of Preventing Dephosphorylation Of Lqg1 On Cytokinesis, Jenna Mueller

Miners Solving for Tomorrow Research Conference

Iqg1 plays crucial roles in cytokinesis, including the assembly, contraction, and disassembly of the actomyosin ring, as well as the coordination of contraction and septation. Given that cytokinesis must occur post-mitosis, Iqg1 is regulated by the cell cycle. This study explores hypotheses regarding Iqg1 regulation: it’s binding to action is negatively influenced by the cyclin-dependent kinase (CDK) Cdc28 and positively influenced by dephosphorylation via Cdc14. Newly developed yeast degron tagged strains allow for rapid depletion of specific proteins. Iqg1 mutations that alter serine to threonine, which allows phosphorylation but not dephosphorylation, in the degron strain allow testing of mutant phenotypes. …

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The Stability Study Of Dna-Polymer Hybrids For Nanotechnology Applications, Ethan Kuehn, Milan Jebaraj Apr 2026

The Stability Study Of Dna-Polymer Hybrids For Nanotechnology Applications, Ethan Kuehn, Milan Jebaraj

Miners Solving for Tomorrow Research Conference

DNA nanostructures have garnered increasing interest in their application as drug delivery vehicles. However, DNA is susceptible to degradation under physiological conditions. To remedy this, we have devised a novel method to coat DNA nanostructures with the polysaccharide chitosan (a natural derivative of chitin). Chitosan binds to DNA electrostatically and inhibits nuclease activity that would normally degrade DNA in a physiological environment. We used both agarose gel electrophoresis (AGE) and atomic force microscopy (AFM) to determine the stability of DNA before and after immersion in a simulated biological environment. Physiological conditions were mimicked by incubating the DNA in cell culture …

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Long Covid Analyzed: A Systematic Review Comparing Adults Affected By Long Covid To Adults Without Persistent Symptoms, Dev Patel Apr 2026

Long Covid Analyzed: A Systematic Review Comparing Adults Affected By Long Covid To Adults Without Persistent Symptoms, Dev Patel

Undergraduate Student Symposium

Over one-hundred million Americans were diagnosed with COVID-19, resulting in over one million deaths so far. Long COVID is defined as a chronic condition that presents a wide range of conditions occurring after SARS-CoV-2 infection and is present for at least three months. Since there is no definite test for Long Covid, many individuals may not know that they have this illness. Therefore, it is imperative within the Public Health field to synthesize current research to generate meaningful interventions and preventive practices. The research question is "What is the symptom spectrum like clusters, burden, for adults eighteen or older diagnosed …

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Artificial Intelligence Liability: Implications And Best Practices For Legal Professionals And Ai Developers, Alyssa Heinze Apr 2026

Artificial Intelligence Liability: Implications And Best Practices For Legal Professionals And Ai Developers, Alyssa Heinze

Undergraduate Student Symposium

The rapid integration of artificial intelligence into the legal profession has transformed legal research, drafting, and decision-making, while simultaneously introducing novel ethical, regulatory, and liability risks. As attorneys increasingly rely on generative AI systems, concerns surrounding hallucinations, bias, confidentiality breaches, and deceptive outputs have exposed both legal professionals and AI developers to heightened scrutiny. This presentation examines the current and emerging landscape of artificial intelligence liability in the United States, with particular attention to the absence of a comprehensive federal regulatory framework and the constitutional controversy surrounding Executive Order 14179 and its preemption of state AI legislation. By analyzing federal …

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Addressing Co-Occurring Mental Illness In Adults With Autism Spectrum Disorder, Ella Riddle Apr 2026

Addressing Co-Occurring Mental Illness In Adults With Autism Spectrum Disorder, Ella Riddle

Undergraduate Student Symposium

Co-occurring mental health conditions are highly prevalent among adults with autism spectrum disorder (ASD) and represent a significant area of concern in adult mental health care. A 2014 study published in the Journal of Autism and Developmental Disorders reports that between 73%-81% of adults with ASD meet the criteria for at least one co-occurring mental illness (Buck et al., 2014). The national average of adults living with mental illness, as determined in 2022, is 23.1% (National Institute of Health, 2022). As these statistics illustrate, adults with ASD experience high rates of co-occurring mental illness, yet these conditions are often treated …

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Marine Mammal Bone As Recorder Of Trace Element Dynamics During The Past 5500 Years In The North Pacific Ocean, Aidan Pflieger Apr 2026

Marine Mammal Bone As Recorder Of Trace Element Dynamics During The Past 5500 Years In The North Pacific Ocean, Aidan Pflieger

Undergraduate Student Symposium

The North Pacific Ocean has been geologically dynamic and biologically diverse since the Last Glacial Maximum (20,000 ybp). Natural fluctuations in island arc volcanism and climate likely influence the input of essential and nonessential trace elements to the Aleutian Island Archipelago, even to present day. Accumulation of these elements in the region's marine food webs provides a measure of natural fluctuations in the environment. Ninety-eight samples of tephra-preserved marine mammal bone (primarily pinnipeds) sourced from temporally identified archeological Aleut midden sites on Unalaska Island (5500-200 ypb), were analyzed for 20 trace elements using inductively coupled plasma mass spectrometry (ICP-MS). Concentrations …

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The Impact Of Mouthwashes On Oral Microbiome Communities In University Students, Jinil Milind Shah, Simar Mathoun, Richa Rajesh, Hyungkyu Kim, Varsha Adabala, Chelsea Borja, Rhianna Jacob, Trisha Jois, Jordan Monteiro, Noura Naami Apr 2026

The Impact Of Mouthwashes On Oral Microbiome Communities In University Students, Jinil Milind Shah, Simar Mathoun, Richa Rajesh, Hyungkyu Kim, Varsha Adabala, Chelsea Borja, Rhianna Jacob, Trisha Jois, Jordan Monteiro, Noura Naami

Undergraduate Student Symposium

The oral cavity hosts a complex microbial ecosystem, which can be altered due to physical or chemical exposures, such as dental mouthwashes. This study examined the short-term impact of two commonly used Listerine mouthwashes, alcohol-containing and alcohol-free, compared to water (as control) on the oral microbiome and salivary pH in a college student population. Oral swab samples were collected after the oral rinse and salivary pH measurements were obtained to assess immediate biochemical changes. Microbial DNA was extracted and the V4 region of the 16S rRNA gene was amplified using PCR. Sequencing was performed on an Illumina MiSeq platform, producing …

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Exploring The Presence Of Persistent Organic Pollutants (Pops) In The Muscle Tissue Of Various Alaskan Salmon Species, Sara Simonetti, Victoria Angelini, Vanessa Miro Apr 2026

Exploring The Presence Of Persistent Organic Pollutants (Pops) In The Muscle Tissue Of Various Alaskan Salmon Species, Sara Simonetti, Victoria Angelini, Vanessa Miro

Undergraduate Student Symposium

Alaska supplies 60% of the fish consumed in the United States; therefore, determining the presence of persistent organic pollutants (POPs) in fish sourced from that area is critical. POPs are chemical compounds that are classified as one of 209 congeners of either polychlorinated biphenyls (PCBs) or polybrominated diphenyl ethers (PBDEs). They resist degradation and contribute to a range of harmful effects to both humans and wildlife, such as cancers and birth defects. Their introduction into the environment stemmed from their industrial and agricultural usage. However, despite being banned by the Stockholm Convention in 2004, they continue to be present in …

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Identifying Biomarkers Indicative Of Active And Passive Exposure To Electronic Cigarette Aerosols, Armaan Makwana, Om Patel, Suhani Makwana, Chelsea Nguyen Apr 2026

Identifying Biomarkers Indicative Of Active And Passive Exposure To Electronic Cigarette Aerosols, Armaan Makwana, Om Patel, Suhani Makwana, Chelsea Nguyen

Undergraduate Student Symposium

Electronic cigarettes (e-cigarettes) have grown in popularity as they are portrayed as a healthier alternative to conventional cigarettes. However, recent studies have identified the presence of toxic chemicals in e-cigarettes liquids and their aerosols. While active users of e-cigarettes (AE) are directly exposed to these chemicals, little is known about the extent of exposure in non-users who are passively exposed (PE) to e-cigarette aerosols. In this study, we analyzed saliva samples from active users and non-users who are either passively exposed (those who live or work with an active user) or not exposed to e-cigarette aerosols to determine whether their …

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Predictive Modeling In Social Media Deepfake Identification, Samuel Whatley Ii Apr 2026

Predictive Modeling In Social Media Deepfake Identification, Samuel Whatley Ii

Helms School of Government Spring Public Policy Conference

No abstract provided.

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Cannabis Reclassification: Economic, Legal, And Ethical Implications Of Executive Order 12866, David Bolton Apr 2026

Cannabis Reclassification: Economic, Legal, And Ethical Implications Of Executive Order 12866, David Bolton

Helms School of Government Spring Public Policy Conference

No abstract provided.

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Reassessing Cartel-Related Activity In The United States: An Osint-Based Geospatial Analysis, Michael Haak Apr 2026

Reassessing Cartel-Related Activity In The United States: An Osint-Based Geospatial Analysis, Michael Haak

Helms School of Government Spring Public Policy Conference

No abstract provided.

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The Right To Rock The Cradle: Parental Leave And Flexible Work Arrangements As Social And National Capacity Priorities For 21st-Century U.S. Public Policy, Georgiana Constantin-Parke Apr 2026

The Right To Rock The Cradle: Parental Leave And Flexible Work Arrangements As Social And National Capacity Priorities For 21st-Century U.S. Public Policy, Georgiana Constantin-Parke

Helms School of Government Spring Public Policy Conference

No abstract provided.

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Modeling The Disruption Of Binding Of Three Ige Antibodies With Six Mutated Interaction Sites On The Arah2 Allergen, Amaan Khan, Hansi Parmar, Jyothi Vivekananda Apr 2026

Modeling The Disruption Of Binding Of Three Ige Antibodies With Six Mutated Interaction Sites On The Arah2 Allergen, Amaan Khan, Hansi Parmar, Jyothi Vivekananda

Undergraduate Student Symposium

Peanut allergy is a life-threatening food allergy that affects millions of children and adults across the world. This issue presents serious public health concerns and heavy interest from the scientific community to find viable treatments that minimize immunological side effects. To better understand and explain the peanut allergy response, the literature was examined, and a 3D model was printed based on two protein database files. Arachis hypogaea 2 (Arah2) is the dominant peanut allergen protein. When Arah2 binds IgE antibodies, a strong allergic response is triggered. This reaction makes treating allergy patients with Oral Immunotherapy (OIT) difficult due to adverse …

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Endoparasites In Magnificent Frigatebirds (Fregata Magnificens Rothschildi) From Southeast Florida, Usa, Isabelle Petty, Alexia Hilber Apr 2026

Endoparasites In Magnificent Frigatebirds (Fregata Magnificens Rothschildi) From Southeast Florida, Usa, Isabelle Petty, Alexia Hilber

Undergraduate Student Symposium

The Magnificent Frigatebird (Fregata magnificens) is a pelagic seabird widely distributed across tropical and subtropical regions. Due to its wide-ranging foraging behavior and fish-based diet, these birds are susceptible to parasitic infections. However, little is known about the species' endoparasite communities. Despite its ecological importance, research on this species remained limited, particularly regarding the diversity and distribution of endoparasites. This study aims to investigate the endoparasite community in these birds. Specimens were collected from multiple rehabilitation centers from southeast Florida. A total of six individuals were examined (MAFR 2000, 3105, 3106, 3107, 3108, and 3109) for parasite presence …

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