Physical Sciences and Mathematics Commons^™

Corrective Feedback Timing In Kanji Writing Instruction Apps, Phoenix Mulgrew

Honors Theses

The focus of this research paper is to determine the correct time to provide corrective feedback to people who are learning how to write Japanese kanji. To do this, we developed a system that is able to recognize Japanese kanji that is handwritten onto an iPad screen and check for errors such as wrong stroke order. Previous research has achieved success in developing similar systems, but this project is unique because the research question involves the timing of corrective feedback. In particular, we are looking at whether immediate or delayed corrective feedback results in better learning.

Development Of Quantitative Methods To Study Pfas Using Proton Induced Gamma-Ray Emission, Colin Langton

Honors Theses

Per- and polyfluoroalkyl substances (PFAS) are man-made chemicals that have become a major environmental concern. They can be found in a broad range of everyday products and pose a significant risk to the public due to their adverse health effects. They are persistent, bioaccumulate and do not break down in the environment. This project specifically aims to determine the concentration of Fluorine, a key identifier of PFAS, in environmental samples. To do this, we employ proton induced gamma-ray emission (PIGE) to screen for Fluorine within our samples. PIGE is performed at the Union College Ion Beam Analysis Laboratory using a …

Investigating The Thermodynamics And Seismic Profile Of The Europan Hydrosphere Through Pure-Water Modeling And Saltwater Experiments, Samantha Rosenfeld

Honors Theses

We explore the properties of the hydrosphere on Europa involving both a modeling technique and experimental methods. We perform a computational analysis of the thermodynamic properties for an ideal, pure-water Europan ice shell using a Python programming framework called SeaFreeze. We create four models assuming surface temperatures of either 50 K or 140 K and ice shell thicknesses of either 3 km or 30 km. We observe mostly linear trends for the density and seismic wave velocities with respect to depth and find that surface temperature has the greatest effect on the models. Simultaneously, we experimentally investigate the phase diagram …

External Beam Alignment System For Quantitative Proton Induced Gamma-Ray Emission (Pige) Spectroscopy, Elias Ottens

Honors Theses

The effects of pollution on the ecosystem are paramount in our society, permeating air, soil, and drinking water. One contaminant of concern is per- and polyfluoroalkyl substances (PFAS), also referred to as "forever chemicals", which contains fluorine (F), a potentially harmful element to humans. To investigate pollution in the environment, it is necessary to make accurate measurements of the distribution and concentrations of these PFAS chemicals. To do this, soil samples are collected and analyzed using Particle Induced Gamma-ray Emission (PIGE) via the Union College Ion Beam Analysis Laboratory's (UCIBAL) particle accelerator. A 2.2 MeV proton beam comes into contact …

Sewage And Pathogen Contamination In Urban Streams In Schenectady In The Lower Mohawk Watershed, Joanna Wright

Honors Theses

Urban streams are becoming increasingly polluted by anthropogenic activity, and in Schenectady (NY) two primary stressors include poor wastewater infrastructure and road salt use. Urban streams in Schenectady include Mill Creek and Cowhorn Creek that empty into the Binnekill (feeder to the Mohawk), and the Hans Groot Kill that empty directly into the Mohawk River. These streams were sampled to evaluate water quality and analyzed for pathogens. This study is primarily focused on fecal indicator bacteria (FIB) Enterococcus, which is an EPA-approved method of determining surface water quality and it is an established indicator of sewage in waterways. The average …

Impact Of Movements On Facial Expression Recognition, Zhebin Yin

Honors Theses

The ability to recognize human emotions can be a useful skill for robots. Emotion recognition can help robots understand our responses to robot movements and actions. Human emotions can be recognized through facial expressions. Facial Expression Recognition (FER) is a well-established research area, how- ever, the majority of prior research is based on static datasets of images. With robots often the subject is moving, the robot is moving, or both. The purpose of this research is to determine the impact of movement on facial expression recognition. We apply a pre-existing model for FER, which performs around 70.86% on a given …

Tracking Xenophobic Terminology On Twitter Using Nlp, Harper Lyon

Honors Theses

Social media is a major driver of political thought, with platforms like Facebook, Twitter, and TikTok having a massive impact on how people think and vote. For this reason we should take seriously any large shifts in the language used to describe issues or groups on social media, as these are likely to either denote a change in political thought or even forecast the same. Of particular interest, given the international reach of social media, is the way that discussions around foreign relations and immigration play out. In the United States of America online spaces have become the default space …

Sewer System Infrastructure And Stressors On Water Quality In Streams Within The Alplaus Watershed In Upstate Ny, Camryn Ragland

Honors Theses

Healthy aquatic ecosystems require clean water, but many creeks and streams may be impaired by human activity. This study is focused on surface water quality of the Alplaus, and Indian Kill streams located within the Alplaus Watershed in Schenectady and Saratoga Counties (NY). The primary goal of this study is to understand the extent of water quality impairment within the Alplaus and Indian Kill using a range of indicators to understand the impacts of failing infrastructure and stressors to surface water. Sixty-five water samples were collected in the fall of 2021 from six locations in the Alplaus and Indian Kill …

Statistical Effects Of Synthetic Template Mismatch With Model Deimos Observations, Christos Kakogiannis

Honors Theses

High-precision kinematics of individual stars in Milky Way satellite galaxies and globular clusters is crucial for studies of galaxy formation, cosmology, alternative gravity models, and dark matter. We tested a rigorous method that matches model DEIMOS observations of such targets with synthetic template spectra that deduces radial velocities and [Fe/H] abundances. We added noise to create a model spectrum with SNR = 30, fitted templates with different parameters to it, and calculated the
best-match velocity and the goodness of the fit. The best fits occur for templates that are close in parameter space to the model spectrum, and the fits …

Bootstrapped Fractional Designs Applied To Models With Both Mixture And Process Variables, Laura Vinton

Honors Theses

Mixture variables are unique as the components must sum to 1, causing problems when there is interaction between mixture and process variables. The best model is the fully linearized model, but this can get large quickly. We began by comparing models on multiple data sets. These models include linear and nonlinear models. After seeing that nonlinear models appear to be the best alternatives, we used the systematically selected fractions of each data set in order to obtain an in and out of sample RMSE. This allows us to see if there is evidence of overfitting, how well the model predicts …

Characterization Of The Initial Explosive Phases Of The 2021 Eruption At La Soufriere, St. Vincent, Sydney Walters

Honors Theses

The Soufriere Volcano on St. Vincent Island, in the Lesser Antilles volcanic arc, is one of the most active subaerial volcanos in the Caribbean, erupting both explosively and effusively at least 7 times in the last 500 years. In December of 2020, the volcano began erupting effusively, showing no evidence of degassing and on April 9^th of 2021, it transitioned to an explosive eruption that continued until April 22, with more than 30 eruptions classified as Vulcanian and sub-Plinian. Scoria samples from three units (U1-U3) erupted in the first 48-72 hours of the explosive eruptive phase were analyzed in …

Pixe Analysis Of Heavy Metals In Soil Along The East River, Mia Villeneuve

Honors Theses

We collected samples of soil from along the East River in Queens, New York, near the Hell Gate Bridge, on the Astoria Park side of the bridge in 2019 and on the Randall’s Island Park side in 2021. We performed proton-induced X-ray emission (PIXE) analysis on the samples and found that soil closer to the Hell Gate Bridge contained higher concentrations of heavy metals, specifically lead and zinc. Many of the soil samples contained lead concentrations greater than the EPA standard of 400 ppm. We also performed PIXE analysis on a sample of the paint used on the bridge and …

Electron-Positron Annihilation Lifetime Spectroscopy Of Mgo And Aluminum-Doped Mgo, Elise Liebow

Honors Theses

Radiation is a form of energy that can damage materials at an atomic level. This has implications for the mobility of radioactive waste through containment materials. We are characterizing atomic defects in materials by using Electron-Positron Annihilation Lifetime Spectroscopy (EPALS). When an electron and positron come into contact with each other, they annihilate and release two antiparallel 511-keV gamma rays. In a pristine crystalline sample, positrons can easily annihilate with electrons, but in a sample with vacancies/defects in the crystal structure, positrons take longer to annihilate. Therefore, the more vacancies in a sample, the longer the average lifetime of a …

Heavy Metal Contamination In Drinking Water And Its Connection To Superfund Site Related Environmental Injustice, Emily Caruso

Honors Theses

Equal access to clean, potable drinking water is crucial for our society’s health and advancement. In 2014, the infamous water crisis in Flint, Michigan, shed light on the widespread water quality issues impacting numerous communities in America. In response to the Flint water crisis, Union College established the Union College Water Initiative, providing free drinking water analyses to the public. This initiative aims to raise awareness and educate people by analyzing heavy metals commonly found in drinking water—specifically lead, copper, and zinc.

As a part of this initiative, I collected over 300 cold drinking water samples from residences, schools, and …

Developing Prediction Models For Kidney Stone Disease, Joseph Palko

Honors Theses

Kidney stone disease has become more prevalent through the years, leading to high treatment cost and associated health risks. In this study, we explore a large medical database and machine learning methods to extract features and construct models for diagnosing kidney stone disease.

Data of 46,250 patients and 58,976 hospital admissions were extracted and analyzed, including patients’ demographic information, diagnoses, vital signs, and laboratory measurements of the blood and urine. We compared the kidney stone (KDS) patients to patients with abdominal and back pain (ABP), patients diagnosed with nephritis, nephrosis, renal sclerosis, chronic kidney disease, or acute and unspecified renal …

Analysis Of Possible Hybrid Meson Decay, Jasper Bergh

Honors Theses

This research looked at data from the GlueX experiment at the Thomas Jefferson National Accelerator Facility to search for evidence of the π1(1600) particle, an exotic hybrid meson, decaying to an eta' and π0. We specifically looked into decays of the eta' to an eta, π+, and π-, with the eta decaying to 3 πo's. We successfully reconstructed an eta from the 3 πo's, and an eta' from the eta, π+, and π-. However, we did not observe the π1(1600), but, a 6:1 ratio of signal to background in the eta' mass. With more statistics this would be a viable …

Iot Garden Frost Alarm, Andrew James

Honors Theses

Home gardeners are faced with yearly challenges due to spring frosts harming young plants. This is frequently mitigated by covering crops with frost blankets, but only on nights when a frost is predicted. In areas with less predictable climate, an unexpected frost can kill vulnerable plants, reducing the amount of food produced. A system is proposed and designed here to use internet of things (IoT) technology to enable a small weather station in the home garden to report current climate data and predict frosts, then alert the gardener in time for them to cover their plants.

The system as designed …

The Future Of Artificial Intelligence In The Healthcare Industry, Erika Bonnist

Honors Theses

Technology has played an immense role in the evolution of healthcare delivery for the United States and on an international scale. Today, perhaps no innovation offers more potential than artificial intelligence. Utilizing machine intelligence as opposed to human intelligence for the purposes of planning, offering solutions, and providing insights, AI has the ability to alter traditional dynamics between doctors, patients, and administrators; this reality is now producing both elation at artificial intelligence's medical promise and uncertainty regarding its capacity in current systems. Nevertheless, current trends reveal that interest in AI among healthcare stakeholders is continuously increasing, and with the current …

Effects Of Bounding Tree Complexity On Immersion In A Virtual Environment, Jonathan Caputo

Honors Theses

Bounding boxes are volumetric spaces in a 3D environment defined by a set of points that denote the area of collision for a given object. Bounding trees are known as a collection of bounding boxes. Simple bounding trees contain few bounding boxes and complex bounding trees contain many. Our research aims to find the relationship between the complexity of a bounding tree and a user's immersion in a 3D virtual environment. We created an algorithm that used the bounding trees to check for when an object collides with another. Using this algorithm, we ran a user study where users would …

Using Difference-In-Differences Analysis And The Kocyk Geometric Lag Model To Estimate Aspects Of Carbon Tax Effectiveness In Nordic Countries, Kyle Riley

Honors Theses

This paper generally looks at the connections between carbon taxes and carbon emission levels in Nordic countries over a period from the 1960s to the early 2010s. Most of the existing literature on this topic looks at and finds that carbon taxes do have a significant impact upon carbon emissions levels in some countries while not in others. In many countries which have this policy there is not a significant impact that can be seen and there is a discussion as to why this might be the case and what needs to be done to fix these potential issues to …

Synthesis Of Alkyl Aryl Ethers Using A Halogen Exchange Coupled To An Ullmann Etherification, Antonio Campedelli

Honors Theses

The Ullmann ether synthesis is a reaction that couples aryl halides to aliphatic alcohols. It works best with aryl iodides because the aryl bromides are much less reactive, and aryl chlorides are even more so. A Finkelstein type halogen exchange reaction has been shown to effectively substitute iodide for bromide on aryl bromides with high yields. The goal of this project is to develop a one pot halogen exchange, Ullmann coupling reaction to allow for aryl bromides to be coupled successfully to aliphatic alcohols. This is feasible because the reaction conditions of the two reactions are so similar. Several condition …

There Must Be Something In The Water: A Comparative Study Of Ground Water Contamination In The U.S.A. And Canada, Kathleen Spooner

Honors Theses

The regions of Nova Scotia and New Hampshire are naturally susceptible to arsenic water contamination due to their geological makeup. These locations are relatively rural, with many of their citizens reporting low incomes and lacking education, the majority of which are unaware of the risk of arsenic poisoning. There is also a high dependency on private wells which are not regulated in terms of water quality under federal law in both countries. Arsenic water pollution is undetectable as it is both odorless and tasteless and potentially very dangerous, and therefore water testing must be performed on wells, which is currently …

Development Of Catalytic Chromia-Based Aerogels, Fiona Fitzgerald

Honors Theses

Over one billion automobiles are in use around the world, the majority of which employ internal combustion engines. Catalytic converters are used to convert the toxic compounds found in car exhaust -- carbon monoxide, nitrogen oxides (NOx) and hydrocarbons -- to less harmful gases. The typical catalytic converter employs as catalysts expensive raw materials (platinum, palladium and/or rhodium) wash-coated onto an alumina-based ceramic substrate. Aerogel materials have high surface area and thermal stability, properties that make them attractive for catalysis applications. Aerogels made with transition metal oxides are candidates to replace platinum in the catalytic converter. Chromium oxide (chromia) materials …

Groundwater Isotopes Across Scales: Continent-Wide Modeling And Local Field Characterization, Jaclyn Gehring

Honors Theses

Groundwater is one of the world’s most important natural resources. The use of stable water isotopes (𝛿²H and 𝛿¹⁸O) as natural tracers through the water cycle has provided a unique observational technique for characterizing hydrological processes and establishing connections between water distribution systems and their respective environmental sources. Groundwater contains information about the timing and efficiency of recharge, allowing for the use of isotopes to understand the physical hydrology and climatic influences on such processes in places with groundwater isotope measurements. We estimate the seasonal recharge proportion and efficiency at thousands of locations across the U.S., …

Gama-Lactams And The Reformatsky Reaction: New Tricks For Old Chemistry, Dylan Dupont

Honors Theses

DUPONT, DYLAN. An Alternative Synthetic Pathway to γ-Lactam Compounds

Through the Application of Novel Reformatsky-Type Chemistry. Department

of Chemistry, June 2020

ADVISOR: James C. Adrian Jr. Ph.D.

It is the intent of the present report to relate the results of our attempt to elucidate and optimize a novel preparation of γ-lactam compounds. To achieve this end, it is proposed that the use of novel Reformatsky-type chemistry may provide a viable means. Generally, it has herein been validated that employment of α-amino ketones in traditional Reformatsky chemistry will form the traditional Reformatsky ester-adduct, and that this adduct is capable of spontaneously …

Human Facial Emotion Recognition System In A Real-Time, Mobile Setting, Claire Williamson

Honors Theses

The purpose of this project was to implement a human facial emotion recognition system in a real-time, mobile setting. There are many aspects of daily life that can be improved with a system like this, like security, technology and safety.

There were three main design requirements for this project. The first was to get an accuracy rate of 70%, which must remain consistent for people with various distinguishing facial features. The second goal was to have one execution of the system take no longer than half of a second to keep it as close to real time as possible. Lastly, …

Classification Of Torsion Subgroups For Mordell Curves, Zachary Porat

Honors Theses

Elliptic curves are an interesting area of study in mathematics, laying at the intersection of algebra, geometry, and number theory. They are a powerful tool, having applications in everything from Andrew Wiles’ proof of Fermat’s Last Theorem to cybersecurity. In this paper, we first provide an introduction to elliptic curves by discussing their geometry and associated group structure. We then narrow our focus, further investigating the torsion subgroups of elliptic curves. In particular, we will examine two methods used to classify these subgroups. We finish by employing these methods to categorize the torsion subgroups for a specific family of elliptic …

Investigating The Urban Stream Syndrome In The Schenectady-Schoharie Region Of Upstate New York, Elizabeth Marie Andonie

Honors Theses

The urban stream syndrome is defined as the typical effects that cities have on watersheds and has been identified in urban regions worldwide. Symptoms include a higher risk of flooding, increased erosion, reduced biodiversity, and elevated concentrations of nutrients and contaminants. The objective of this study is to determine the extent of the urban stream syndrome in and around the Schenectady area. More specifically, this study focuses on two separate aspects: 1) the influx of road salt, and 2) the influx of organic waste. In addition, data were compared with previous data of the same streams to determine changes over …

Investigation Of Ceria-Nickel Containing Aerogels For Catalytic Converter Applications, Xiao Peng Li

Honors Theses

Aerogels have physical properties that make them appealing for automotive exhaust catalysis: they are highly porous with low density and high surface area. Current catalytic converter technology uses precious metals (Pt, Pd and Rh) to oxidize CO and unburned hydrocarbons and reduce NO. Catalytic-metal-containing aerogel can potentially be a less expensive alternative for use in catalytic converters. Prior work with nickel-alumina aerogels indicated promise for this application; the goal of including ceria is to increase oxygen storage and thereby enhance catalytic ability. Here, cerium- and nickel-containing aerogels, with an alumina backbone and silica backbone, are fabricated using an epoxide-assisted recipe …

Preventing Browser Fingerprinting By Randomizing Canvas, Rianna Quiogue

Honors Theses

Whether users know it or not, their online behaviors are being tracked and stored by many of the websites they visit regularly through a technique called browser fingerprinting. Just like a person's physical fingerprint can identify them, users' browser fingerprints can identify them on the Internet. This thesis outlines the techniques used in browser fingerprinting and explains how although it can be used for good, it can also be a major threat to people's online privacy and security. Since browser fingerprinting has gained popularity among many websites and advertising companies, researchers have been developing ways to counteract its effectiveness by …