Treffer: Journal of Student-Scientists' Research, Vol. 6 (2024)

Detection Tools in Smart Contracts: Reevaluating the Effectiveness of Reentrant Detection Methods Through Replication Training Deep Learning Models on Virtual Reality Spatial Motion Data for Implicit User Identification Keylogging in Virtual Reality: Assessing Data Vulnerabilities via Motion-Position Sensors Visualizing Interfacial Charging Activity of Bipolar Organic Electrodes in Proton Batteries Polarization Dependent Photoelectrochemistry of Anisotropic Rhenium Disulfide An Analysis of Generative AI Agents in Automatic Task Completion in Interactive Web Environments Developing an ultra-lightweight capturing solution for organic, compliant bodies. Enhancing Digital Interactions with AI Agents for Greater Convenience and Efficiency Enhancing Human-Robot Collaboration Through Robotic Eye Gaze: A Study on External Stimuli and Predictive Cues in Interaction A Comparative Study of Decision Tree and Random Forest ML Algorithms for Estimating PM2.5 Levels from AOD Cross-Generation Reliability Study of NVIDIA Volta and Ampere GPUs on Supercomputers: Similarities and Differences Optimizing Positional and Rotational Data Collection and Transmission in VR Headsets to Observe Disruption of Internal Sensors Using Motion Capture Technology to Learn 6-DoF Vehicle Kinodynamics for Autonomous Navigation on Vertically Challenging Terrain Identifying Genetic Predispositions in Gastro-esophageal Disease Subtypes as Precursors to Esophageal Cancer Assessing the Accuracy of a Machine Learning Model for Wildfire Spread Prediction in Regional Air Quality Forecasting Seven-decades Of Roadway Fatalities Caused by Windblown Dust Events in the United States Analyzing Firework Emissions Across Various Locations and Settings in the United States Investigating the effect of AuCu2-xSe Nanoparticle on Photocatalytic Nitrogen Fixation (PNF) NdFeTiO5: Synthesis and Characterization of a Polar Magnetic Compound Synthesis and crystal structure studies of NdCrTiO5 Identifying Key Contributors to Regional Ozone Levels: A Machine Learning Approach Integrating Environmental and Socioeconomic Factors Symptom-Based Prediction of Respiratory Diseases Risk in Relation to Air Pollution Exposure Adversarial AI Model for Fact-Checking Wildfire Chatbot Answers, Reliability, and Accuracy Analyzing Historical Snow Water Equivalent (SWE) Data: Trends, Economic and Social Impacts, and Prediction Accuracy Assessment Influence of El Niño Southern Oscillation on Indian Summer Monsoon Intraseasonal Circulation and Cluster Dynamics Integrating Machine Learning and Motion Planning Techniques for Multi-Object Search in Unknown Household Environments A Comparative Study of Machine Learning Models for PM2.5 Prediction An High Resolution and Efficient System for Labeling Solar Coronal Hole Images A Streamlined Solution to Efficiently Reduce Errors and Label Geographical Images Design and Development of a Novel Peptide Theranostic Agent Generating a Robust Dataset for Radar Detection in the CBRS Band Dynamic Time-Expanded Topology Design for LEO Satellite Network Automating Labeling of ML Clusters using KPM Data for Interference Detection Optimizing Beamforming for Efficient User Equipment Association with Base Stations within an Open RAN Compliant Network Signaling storming attack detection and mitigation in open radio access networks Improving infectious disease predictions through the use of metapopulation SIR modeling and graph convolutional neural networks Mathematical Modeling and Physics Informed Neural Network approaches for studying the environmental impact of data centers on a county level Control of Tuberculosis epidemic in South Africa using a Multi-stage Stochastic Recourse approach for resource allocation under various transmission rates Using Physics-Informed Neural Networks to Model the Dynamics of the Opioid Epidemic A Mixed-integer programming approach for identifying optimal levels of hydrogen fuel as a renewable energy source Modeling, Analysis and Prediction of COVID-19 dynamics with interacting subpopulations and human behavior using Physics-Informed Neural Networks Mathematical modeling, analysis and simulation of the spread of smoking in the United States using Optimal Control Applications of Least Squares to find optimal solutions to real world problems involving circle regression. Application of Physics-Informed Neural Networks to Asthma Epidemiology ReqFusion: Use of Natural Language Processing to Automate the Integration of Legacy and New Requirements for the United States Air Operations Command. FlightList: Automating Self-Assessment Checklists for Optimal Compliance and Efficiency in Air Force Units Innovating and prototyping an AI-powered chatbot to track governance policies in the Space Force: Wingman Design of a Wearable System Providing Visual Biofeedback on Anterior Ground Reaction Forces to Increase Lower Limb Propulsion of Stroke Patients HERMIT: A Robotic Hand Mirror Therapy Device, Utilizing a Spiral CAM Linkage for Children with Cerebral Palsy Detection and Quantification of Nile Red Stained Microplastic Particulates in Breastmilk using Fiji Prevalence and Risk Factor Analysis of Campylobacter in Rural Bangladesh Presence of bacterial proteins in Human Breast Milk detected through Western Blot Techniques Monitoring Water and Vegetation Change in the Great Green Wall of Africa Using NASA's FLDA Products and Machine Learning Modeling changes in climatic variables in Morocco using remote sensing data and statistical techniques The correlation of changing levels of Aerosol Optical Depth and annual tuberculosis incidences in Kenya Calculation and Comparison of Velocities of Magnetic Loops on Sun’s Surface Using Ions at Different Temperatures Computational Analysis of Ion Velocities Along Coronal Loops Using data from the EUV-imaging spectrometer to analyze velocities along a magnetic loop at different spectral lines Measuring the Velocities of Coronal Loops Development of Software Tools for Satellite Observations and Near-Infrared Imaging in Support of the NASA Landolt Mission The Prevalence of the KRAS Mutation in Lung Cancer Based on the Smoking Status Deploying mmWave distance sensing to Jackal UGV for more accurate navigation in hazardous environments Characterizing the small molecule Pyr-4MDM for modulation of the LTA4H enzyme as a potential anti-inflammatory drug Quantitative Isotopically Labeled Tags for Precise Proteomic Analysis via Mass Spectrometry Synthesis of Inhibitors of the Impα Protein Binding as a Potential Treatment for Venezuelan Equine Encephalitis Virus (VEEV) infection Binding Analyzing the vulnerability of US Power Grids to Climate Change related Stressors Greenhouse Gas (GHG) Emissions Poised to Rocket: Modeling the Environmental Impact of LEO Satellite Constellations Optimizing You Only Look Once Version 5 (YOLOv5) for Object Detection in Thermal Images MRIO Modeling for Environmental Analysis of Broadband Infrastructure Expansion Quantifying the macroeconomics impacts of satellite failure on global supply chains Adaptive Multispectral Object Detection (AMOD) leverages the fusion of RGB and thermal imagery to enhance the performance of object detection models, particularly in varying environmental conditions and distance of the camera from the object. This is part Low-Cost Geolocation for Laser Target Designators in Unmanned Aerial Systems Enhancing Power Grid Resilience: A Novel Labeling System for Assessing Climate Vulnerabilities in US Substations New nylon fiber protein extraction method advances hydroponic rhizosphere microbiome studies Utilizing hand tracking technologies in serious games to teach American Sign Language An Investigation into the use of Newspaper Data and Large Language Models for Understanding the Occurrence of Flooding in the Caribbean Quantifying the Relationship Between Vegetation Characteristics and Avian Diversity in Costa Rica Investigating HER2/EGFR Signaling Dynamics and EV-Mediated Communication in Cancer Cells Screening Aggregation Breakers of Alzheimer’s Disease Aβ Protofibrils Using AutoDock CrankPep Assessing the performance of Kolmogorov-Arnold Networks in preventing catastrophic forgetting on continual learning tasks Creating Complex Math Question Test Sets for LLMs to Train With Analysis on Extracellular Vesicles Using the 96.96 IFC with SNP Type Assays as Quality Control for Biobanks Optimizing exothermic chemical dyes within polymeric surfaces for high efficiency laser capture microdissection (LCM) PINK-1 containing extracellular vesicles: A new molecular measurement of mitochondrial health and tumor growth Exploring the Spatially Dependent Proteome of Ovarian Cancer Tissue Secretory Mitophagy: A new target for ovarian cancer drug resistance Secretory mitophagy is a novel pro-survival and pro-growth mechanism for Neurofibromatosis Type 2 cancers Exploring the Use of NEXRAD Radar Data for Real-Time Fire Plume Height Estimation Improved Classical and Quantum Algorithms for the Shipment Rerouting Problems Satellite-based NO2-GDP Index Quantifies the Emission Intensity of Economic Development Revolutionizing Inefficient Scheduling Systems by Adapting Offline Programming Techniques to Function in an Online Algorithm within a Python Application The Effects of Wildfire Aerosols on Phytoplankton Populations in the North Pacific Ocean Analyzing the Impact of Funding and Governance Models on GitHub Development Activities in OSS Projects Optimizing Online Interval Scheduling Systems with Data-Driven Analytics for Enhanced Resource Utilization Analyzing the Impact of Different Funding and Governance Models on an OSS Project’s Success Flakewatch: Automated Categorization and Detection of Flaky Tests At Scale Constructing a Comprehensive Dataset of Reproducible Flaky Tests Learning Agent-Based Modeling Trough Virtual Reality-Based Simulations The Anti-Inflammatory Effect of Cannabinoids on HIV-1-Infected Monocytes Kinases from HIV-1 Infected Exosomes Drive Cell Cycle Progression in Recipient Cells Novel TAR-Targeting Small Molecules Inhibit HIV-1 Transcription Modeling HIV-1 Infection in the Central Nervous System (CNS) Using iPSC-Derived Microglia and Human PBMCs in a Humanized Mouse Model: ASSIP Short Course Literature Review Evaluating the Performance of Automated Speech Recognition Systems for Black Users Using Language Models to Promote Inclusive Language in Software Development Communities Formal Text Translation Using Large Language Models: A Replication Study on LLM-Driven Translation of Open-Source Software Documentation from English to German Language Variants Controlled synthesis of gold nano bipyramids Inhibiting the Interaction Between Cancer Immunotherapy Targets FGL-1 and LAG-3 Proteins Utilizing Small Interfering Peptides Comparing Categorical Fire Risk Maps through 2001-2023 Analysis of the spatial-temporal patterns of vegetation, precipitation, land surface temperature, and soil moisture across the Sahara-Sahel Great Green Wall region using remote sensing data. Measuring Acceleration of WebGPU for JavaScript AI-Powered ETFs: A Quantitative Analysis of Performance, Risk, and Volatility in Financial Markets Market Dynamics in Response to AI Breakthroughs: (Early) Evidence from ChatGPT The Next Generation of Laser Capture Microdissection: A Comparative Study Molecular Profiling of Stromal Components in Prostate Cancer: Leveraging LCM and RPPA to examine Clinical Outcomes Protein Signaling Profile of Prostate Tumor Metastasis Treated with Pembrolizumab: A Case Study The Slow Negative Effect of Drought on Denitrifying Bacteria Bioreactors’ Rate of Removal Thermal Tolerance of Japanese Mystery Snails Effects of an invasive barnacle parasite and salinity stress on the functional response of the native mud crab Rhithropanopeus harrisii ImageJ analysis of morphological changes in mud crabs from the Chesapeake Bay infected with castrating, zombie barnacle parasite Structure-Based Discovery of Lead Compounds to Prevent Neuronal Death in Venezuelan Equine Encephalitis Virus Infection Computationally Exploring FKBP65’s Interaction with Collagen Engineering an ATP Binding Pocket in the Kirbac3.1 Inward Rectifier Potassium Channel Scaffold using De Novo Design Computational Identification and Mapping of Protein-DNA Interactions Characterizing Developmental Changes in Long-Term Depression Through Chimeric NMDA Receptors Investigating the correlation between cholinergic neuron activity and real-time behavior in mice using machine learning techniques Using Immunohistology to Investigate Cholinergic Fiber Density across Layers in the Medial Entorhinal Cortex Developing An Artificial Intelligence (AI) Agent for Early Elementary Education Using Dialectical Materialism LiDAR Drone Technology for Forensic Applications in Forested Areas Shows the Most Detail with Triple Returns Quantitative analysis of feedback received from Claude 3.5 Sonnet on mathematical programming problems using a multi-dimensional rubric framework SugarNet: Personalized Blood Glucose Forecast for Diabetic Patients with Joint Time-Frequency Learning Assessing the Consistency of Open-Source Large Language Models for Algorithm Evaluation Early Signs as Effective Indicators of Long-term Procrastination using Machine Learning The Optimization of Synovial Fluid Protein Quantification with Hyaluronidase Can the cellular wiring of the brain shed light on epilepsy? Neuron-by-neuron mapping of a whole fly brain Exploring determinants of vaccine uptake in individuals aged 65+ using Multi-scale Geographically Weighted Regression (MGWR) Simulating Vaccine Decisions in an Agent-Based Model of Disease Spread Laser-induced Graphene for Emerging Quantum and Energy Applications Understanding the impact of model resolution on Atmospheric River representation over western North America
s submitted by the Aspiring Scientists Summer Internship Program cohort of 2024. Each describes an 8-week project conducted under faculty mentorship at George Mason University that was publically presented at our in-person or remote research symposiums in August 2024. Congratulations interns on your completion of the program, and thank you for your hard work! (Note: Not every ASSIP 2024 abstract may posted publically. Some projects are the subject of an invention disclosure, are undergoing double-blind peer review as part of a scientific manuscript, or describe findings that are part of a grant submission.)