May 2025 Issue

We developed a computer program to simulate the stock option prices from S&P 500 market data by solving the Black-Scholes equation.

This study applies the PCA method to socioeconomic and demographic survey data to examine food insecurity risk at census tract level.

This paper analyzes PID controllers and measures its performance on quadrotor drones.

Test of five popular diapers on a scale of biodegradability to determine best materials for different aspects of absorbency.

When habituated to distance from one’s smartphone, cognitive processing speed is faster when the smartphone is close to the body and in eyes view.

Evaluation of Relative Cell Viability Rates of Mono-therapeutic Treatment Compared with Combination 5FU + Paclitaxel Treatment in MKN-45 Gastric Cancer Cell.

A computational approach to find connections and patterns between cell types and neuroimaging traits.

This paper examines the integration of object detection and text-to-speech technology to enhance real-time scene recognition for improved accessibility for visually impaired individuals.

Understanding the impact of kernel size, dropout ratios, and convolutional layers on a vision model’s performance.

This study explores and models how anion species, pH and supplementary electrolyte concentrations can be manipulated to optimize Zinc-Copper cell potential to promote the use of rechargeable Zinc-Copper batteries in low power industrial contexts amid environmental and social concerns regarding other rechargeable battery models.

This study outlines the development of a protocol for producing codon-optimized Gevokizumab scFv to hinder IL-1β activation, with findings that suggest enhanced protein expression in optimized constructs, which paves the way for potential therapeutic applications in inflammatory diseases.

This study examines the impact of caffeine on working memory of adolescents.

Exploring the role of art for individuals on the autism spectrum through in-depth interviews.

This study introduces an AI-driven approach that predicts and optimizes EZH2 inhibitors by carefully selecting biologically relevant features, significantly improving the efficiency and accuracy of discovering cancer treatments.

This research investigates how platform motion affects the aerodynamic performance of floating offshore wind turbines, offering insights to opti-mize energy production and stability.

This study presents the design and testing of a hybrid Na-CO₂ system powered by solar energy aimed at capturing CO₂ from the atmosphere and converting it into hydrogen and electricity, contributing to climate change mitigation, and providing sustainable energy solutions.

This article examines the Indian diaspora in the United States during the COVID-19 pandemic, a group that underwent many changes in both the social and psychological aspects of their lives during this time.

This project attempts to use block-like copolymers to create more efficient membranes for ethanol dehydration.

The purpose of this study was to explore the heightened mental health challenges and barriers to accessing mental health services faced by senior citizens in St. Mary’s County, Maryland, due to the Covid-19 pandemic.

Utilization of STING agonist MSA-2 encapsulated nanocarriers to enhance the immune system’s ability to eliminate cancer cells.

An analysis of the effect depth and two different vegetation types have on the soil geochemistry above a cave to improve paleoclimate analysis from stalagmites.

This study investigates the relationship between host star properties and the detection of terrestrial, potentially habitable exoplanets, emphasizing the greater likelihood of detection around M-dwarf stars.

This study compares the effects of water, electrolyte drinks, and fruit juice on post-exercise hydration, gastrointestinal symptoms, and subjective feelings of refreshment.

This study used natural dyes, titanium dioxide, and a carbon catalyst to optimize the performance of dye-sensitized solar cells.

Utilizing ResNet18 to predict emotion from human faces for benefit of persons with neuropsychological disorders such as schizophrenia.

Through an in-depth statistical analysis of kidney pathology, it’s revealed that aged kidneys have abnormalities targeted towards vital afferent/efferent pathways, with another lesion being evaluated by an AI model.

We compare the 7-Simul and 7-Simul Flip algorithms for solving the Rubik’s clock, showing that they are faster for 74.7% and 25.3% of scrambles, respectively.

The ATP6 and ATP8 GC contents correlate with some IUCN Red List Categories, which may suggest that it can be used as an indicator for the probability that the species could be endangered easily relative to others.

Electricity-generating fossil-fuel power plants emit dangerous gases into the atmosphere, which this paper aims to minimize through the placement of a filter mechanism in their chimneys.

A computational study exploring the design of bispecific aptamers to enhance NK cell-mediated cancer therapy through targeted receptor interactions.

Unique 2-Point Energy Energy Correlator Signatures of Heavy Quarks in Simulated Electron-Proton Collisions

Multiple different traffic algorithms tested using a simulation of an area of road near Vanderbilt’s campus.

Testing the bond strength of microfluidic devices, known as RAPID, used for radiotracer synthesis.

Analyze anti-hemagglutinin antibody quantities in HIV+ and HIV- participants to determine impact of HIV to the body’s immune response when vaccinated.

This study leverages machine learning algorithms to analyze "lub-dub" heart sounds from digital stethoscopes, achieving 98% accuracy in detecting abnormal heartbeat-related heart diseases, offering a breakthrough in non-invasive cardiac diagnostics.

The future price of a 5 kW solar array is predicted as a function of the rising cost of critical materials.

Using AlphaFold protein structure construction and HADDOCK ligand docking, I identified two novel drug resistance mutations in MDR-TB.

Training lightweight convolutional neural networks to detect malaria from blood smear microscopy to assist medical professionals in diagnosis.

This study proposes a novel technique by which the position of light focus can be adjusted in Stop Flow Lithography to manipulate the three-dimensional shape of hydrogel microparticles and disproves the assumption of instantaneous uniform distribution of light through the flow channel of the lithography device.

This study uses different methods of prompting to improve large language models’ mathematical reasoning

Transfection of Müller glial retinal cells with transcription factor L-Myc causes reprogramming and proliferation.

Creating a microfluidic device to test and see if endothelial cells can create tube-like structures within the device.

Utilizing machine-learning guided algorithm to discover bioactive molecule functions.

Comparison and analysis of different Machine Learning and Deep Learning models for detection of Brain tumors in MRI scans.

This project is to show clinicians' certainty in their diagnostic impression will vary based on the developmental profile of each child.

This paper explores the potential of Artificial Intelligence in improving AAC systems, based on insights from parents and family members of indi-viduals with complex communication needs.

This study identifies heat shock protein dysregulation and changes in immune cell composition in NASH through RNA-seq analysis of multiple datasets.

Quantum Binary Quadratic Models can be used to optimize traffic routing under multiple real-time constraints. When used in conjunction with Dijkstra’s Algorithm, they could be a powerful means to efficiently route emergency vehicles, even in densely populated cities.

This study employs a multidisciplinary approach, integrating machine learning techniques, gene expression analysis, clinical assessments, and lifestyle data to uncover potential biomarkers and therapeutic targets for Alzheimer's disease

Various ensemble algorithms improve wind speed forecasts over existing numerical models.

An investigation into the thermodynamic efficiency of four carbanions reacting with carbon dioxide through a comparison of enthalpies.

Stroke improvement for faster freestyle swimming based on elbow positioning while swimming.

The research team utilized machine learning in microfinance to predict borrower reliability without relying on traditional credit scores, leveraging data from platforms like Kiva to assess loan risk and promote financial inclusion.

This work uses computer simulations to investigate the interactions between CAR T-cells expressing CD45 and CD62 receptors and the IL-13Rα2 receptor, offering insights into the best way to target high-grade gliomas using CAR T-cell therapy.

This investigation seeks to identify the best casting conditions for polyvinylidene difluoride on two-dimensional graphene membranes.

Examining disfluencies in job interview settings