Digital Commons Network^™

Using A Novel Chain Of Chemical, Crystallographic, And Isotopic Analytical Techniques To Examine The Formation Histories Of Features In Chondritic Meteorites And Orbicular Granites, Samuel P. Alpert

Dissertations, Theses, and Capstone Projects

Understanding the chemistry, crystallography, and isotopic variability of minerals allows us to place significant constraints on the formation history of their host rocks. These constraints provide insight into everything from the distribution of water in the solar system to the onset of plate tectonics. Electron beam instruments and ion probes are important tools used by modern geologists to obtain crystallographic, chemical, and isotopic data. Here I present a new workflow, using these instruments, combining wavelength dispersive spectrometry (WDS), backscattered electron (BSE) imaging, machine learning algorithms, electron backscatter diffraction (EBSD), and secondary ion mass spectroscopy (SIMS), to place quantitative constraints on …

Context In Computer Vision: A Taxonomy, Multi-Stage Integration, And A General Framework, Xuan Wang

Dissertations, Theses, and Capstone Projects

Contextual information has been widely used in many computer vision tasks, such as object detection, video action detection, image classification, etc. Recognizing a single object or action out of context could be sometimes very challenging, and context information may help improve the understanding of a scene or an event greatly. However, existing approaches design specific contextual information mechanisms for different detection tasks.

In this research, we first present a comprehensive survey of context understanding in computer vision, with a taxonomy to describe context in different types and levels. Then we proposed MultiCLU, a new multi-stage context learning and utilization framework, …

Listening For Lemurs: Translating Black-And-White Ruffed Lemur (Varecia Variegata) Vocalizations Into Conservation Insights Through Acoustic Monitoring, Carly H. Batist

Dissertations, Theses, and Capstone Projects

The field of bioacoustic monitoring has undergone a significant evolution in recent years, driven by technological innovations that have revolutionized how researchers study animal vocalizations. Traditionally, bioacoustics was rooted in active acoustic monitoring (AAM), involving human observers using recorders in the field to study animal sounds and understand species' vocal communication. However, the emergence of passive acoustic monitoring (PAM) has introduced a new complementary approach, utilizing specialized recorders placed in ecosystems to autonomously capture sounds at wide spatial and temporal scales. My dissertation adopts a translational approach to bioacoustic monitoring, integrating both AAM and PAM techniques to study and survey …

Development Of Platinum(Iv)-Gold(I)-Based Anticancer Agents, Javier E. Lopez-Hernandez

Dissertations, Theses, and Capstone Projects

Heterometallic compounds have emerged as prospective multitarget anticancer drugs. These species may display improved efficacy and physicochemical properties compared to the individual metallic fragments, while helping combat drug resistance by exerting effects on multiple pathways. In this thesis we describe the synthesis of new bi- and tri-metallic compounds based on platinum(IV) compounds containing FDA-approved platinum agents, and gold(I) derivatives with known anticancer properties. We demonstrate their toxicity and selectivity against a small panel of renal, bladder, ovarian, and breast cancer cell lines, as well as their synergistic effects. We have selected a trinuclear PtAu₂compound containing the Pt(IV) core …

Quantics Tensor Trains: The Study Of A Continuous Lattice Model And Beyond, Aleix Bou Comas

Dissertations, Theses, and Capstone Projects

This four-chapter dissertation studies the efficient discretization of continuous variable functions with tensor train representation. The first chapter describes all the methodology used to discretize functions and store them efficiently. In this section, the algorithm tensor renormalization group is explained for self-containment purposes. The second chapter centers around the XY model. Quantics tensor trains are used to describe the transfer matrix of the model and compute one and two-dimensional quantities. The one dimensional magnitudes are compared to analytical results with an agreement close to machine precision. As for two dimensions, the analytical results cannot be computed. However, the critical temperature …

Framing Teacher Migration: An Analysis Of Jamaican Media Coverage From 2016–2023, Denise Wiley

Dissertations, Theses, and Capstone Projects

The emigration of teachers from Jamaica has attracted significant media coverage highlighting an increase in resignations and vacancies in many classrooms. This paper analyzes media framing on the topic, and how such framing might preclude the exploration of policy alternatives to address the issue. Methods A qualitative content analysis was conducted on articles published between August 1, 2016, and September 30, 2023. Relevant articles were retrieved from the Gleaner digital archive. Using a survey instrument of 13 questions, a total of 78 articles were analyzed for coding. Results Four frames emerged from the analysis: crisis – urgent attention is required …

Positron Emission Tomography In Oncology And Environmental Science, Samantha Delaney

Dissertations, Theses, and Capstone Projects

The last half century has played witness to the onset of molecular imaging for the clinical assessment of physiological targets. While several medical imaging modalities allow for the visualization of the functional and anatomical properties of humans and living systems, few offer accurate quantitation and the ability to detect biochemical processes with low-administered drug mass doses. This limits how physicians and scientists may diagnose and treat medical issues, such as cancer, disease, and foreign agents.

A promising alternative to extant invasive procedures and suboptimal imaging modalities to assess the nature of a biological environment is the use of positron emission …

Identification Of Mandibular And Maxillary Molars Of Old World Monkeys (Primates, Cercopithecidae) Using 3d Geometric Morphometrics, Eric John Mazelis

Dissertations, Theses, and Capstone Projects

The present study is an attempt to take steps towards quantifying 3D molar shapes of the primate family Cercopithecidae to construct a framework for the automation of identifying the anatomical position and taxonomic affiliations of isolated molars. I introduce a new landmark protocol and present a proposed workflow model which can be applied in the future. For the purpose of this study, I collected and compiled the largest sample of 3D surface scans of varying wear grades of all six cercopithecid molar positions (i.e., M¹-M³ and M₁-M₃). The sample comprises 2641 specimens from …

Mechanistic, Biochemical, And Theoretical Studies Of Phototoxicity And Photobluing, Lloyd M. Lapoot

Dissertations, Theses, and Capstone Projects

This thesis consists of four chapters as detailed below:

Chapter 1 discusses the photoconversion of heptamethine to pentamethine cyanines and of pentamethine to trimethine cyanines. Here, we report mechanistic studies and initial experimental evidence for a previously unexplored 4-carbon truncation reaction that converts the simplest heptamethine cyanine to the corresponding trimethine cyanine. We propose a DFT-supported model describing a singlet oxygen (¹O₂) mediated formation of an allene hydroperoxide intermediate and subsequent 4-carbon loss through a retro-Diels-Alder process. Fluorescence and mass spectrometry measurements provide evidence for this direct conversion process. This 4-carbon truncation reaction adds to growing …

The Application Of Bayesian Meta-Analytic Models In Cognitive Research On Neurodevelopmental Disorders, Nic Zapparrata

Dissertations, Theses, and Capstone Projects

Meta-analysis is the systematic review and quantitative synthesis of specific areas in literature and is an important quantitative tool for researchers interested in synthesizing a particular body of research. The current research used meta-analysis to investigate processing speed in two neurodevelopmental disorders. This dissertation consisted of four meta-analytic papers. The first paper was a meta-analysis that synthesized a large body of research on processing speed, measured via reaction time (RT) measures, in groups of individuals diagnosed with autism spectrum disorder (ASD) versus age-matched neurotypical comparison groups. This research was motivated by two previous meta-analyses in the literature on processing speed …

Bifurcations And Resultants For Rational Maps And Dynatomic Modular Curves In Positive Characteristic, Colette Lapointe

Dissertations, Theses, and Capstone Projects

No abstract provided.

Effect Of Magnetic Draping On Satellite Galaxies In Clusters, Vanessa Brown

Dissertations, Theses, and Capstone Projects

Galaxy evolution has been observed to be influenced by environment. Satellite galaxies orbiting within clusters can experience changes in morphology and composition through various mechanisms such as ram-pressure stripping (RPS), which removes a galaxy’s interstellar medium as it passes through the cluster via direct interaction with the hot intracluster medium gas. An open question is whether intracluster magnetic fields affect galaxy evolution, for example by forming a magnetic layer around infalling galaxies (called magnetic draping) and mitigating gas removal by RPS. Using the code GADGET-3, we compare global properties and mass distributions within identical cluster simulations run with and without …

Project Maplemon: Peeling Back The Secrets Of Queer Writing Through Stylometric Demographic Identification, Theodore D. Manning

Dissertations, Theses, and Capstone Projects

Project MapLemon is a corpus for stylometric demographic identification of 54,000+ words across 345 participants, originally created to obtain a baseline corpus for linguistic variation among North American English speakers. The corpus contains responses from 30 linguistic backgrounds, and 40 US states and 6+ Canadian provinces. Project MapLemon has innovated a new method for data collection for linguistic variants in the natural, digital written word. Project MapLemon utilizes a hand-drawn map and asks the participant to give directions via this map, as well as asking participants for a recipe for lemonade. In addition to its novel collection methods, MapLemon contains …

What Does It Mean To Be Kindergarten "Ready?": Trends In Parents' Expectations And Families' School Experiences Across Ses, Lisa Babel

Dissertations, Theses, and Capstone Projects

The purpose of this study is to explore the meaning of Kindergarten “ready,” especially as the practice interacts with educational inequity. Past research used secondary data to show that SES relates to the prevalence of redshirting where children’s school entry is delayed by one year with the idea that the older they are when they start school, the more advanced they will be, but studies do not explain why children from families with lower incomes are advised to start Kindergarten later than others (Greensburg & Winsler, 2020; Reardon & Portilla, 2016). Moreover, family expectations of the Kindergarten participation process, including …

Consciousness And Physicalism, Brian Mcgowan

Dissertations, Theses, and Capstone Projects

Physicalism is a philosophy of mind which attempts to explain consciousness as resulting from physical causes. The lack of a complete and consistent mathematical theory to explain physical causation has led other philosophers of mind to propose that consciousness is a nonphysical essence, property, or substance. However, the idea that physics can be defined atomically and/or deterministically leads to explanatory problems for consciousness, as well as for the dualisms which explain consciousness under these assumptions. This thesis advances a position called “continuous physicalism” which takes all material to result from deformations in the physical medium of space, and any changes …

Three Essays Applying Dynamic Models In Economics, Finance, And Machine Learning, Lucas C. Dowiak

Dissertations, Theses, and Capstone Projects

This dissertation is a composition in three parts. Collectively, these essays investigate dynamic methods and their application in the fields of Economics, Finance, and Machine Learning. It pulls liberally from all three. In particular, this dissertation makes repeated use of multi-state modeling frameworks popular in Economics to bring a faceted view to the underlying data and detect its hidden heterogeneity. The challenge of modeling financial assets and estimating their dependence is another focus. For stimulus, concepts in the Machine Learning field are brought in to aid or compete with established econometric techniques.

Econometric Applications of the Hierarchical Mixture-of-Experts

In this …

Identifying Graduate Students’ Instructional Strategies And Approaches Towards Teaching Employable Skills, Elizabeth S. Che

Dissertations, Theses, and Capstone Projects

College instruction tends to focus on imparting disciplinary knowledge rather than employable broad-based skills emphasized by undergraduate guidelines. The lack of emphasis on broad-skill development may leave many undergraduate students unprepared for the workforce. Graduate students who are future professoriate, are teaching undergraduate courses with various attitudes and strategies. This dissertation comprises three published studies that used data from two surveys identifying graduate students’ instructional strategies and approaches to teaching employable skills in their courses.

The first study asked whether graduate students teaching undergraduate courses (N = 114; 70.2% women, M age = 30 years) aim to teach employable …

Essays On Empirical Economics, Dorian Abreu

Dissertations, Theses, and Capstone Projects

CHAPTER 1: HIGH FREQUENCY TRADING AND MARKET LIQUIDITY

This paper provides evidence of the impact of High Frequency Trading (HFT) on liquidity. I use data from the NASDAQ OMX that identifies the trades of 26 HFT firms on 120 randomly selected stocks listed on the NASDAQ. I find that HFT improves overall market liquidity. However, the liquidity improvements come at the expense of the non high frequency traders. Results indicate that trades in which the HFT supply liquidity to non HFTs have a significantly wider spreads. This impact is larger for smaller cap stocks. Additionally, price impacts are largest when …

Speeding Up Coded Distributed Machine Learning, Xian Su

Dissertations, Theses, and Capstone Projects

The advancement of artificial intelligence has facilitated the generation of vast datasets, whose size often exceeds tens of terabytes. Meanwhile, machine learning has become the most important technique for big data analytics, and sophisticated models with thousands or even millions of parameters are designed to leverage big data. However, processing big data and training large models necessitate significant storage and computational resources, which has been a bottleneck in the development of artificial intelligence. Distributed computing, such as MapReduce, has been proposed to surmount the computational bottlenecks associated with single-machine analysis.

Although distributed computing harnesses the collective power of numerous less …

Math Anxiety And Avoidance Of Mathematics At The College Level: Undergraduate And Their Sense Of Not Belonging In Math Classrooms, Kay C. Lashley

Dissertations, Theses, and Capstone Projects

Negative experiences and perceptions of the subject often influence the avoidance of mathematics at the college level. This study explored this issue by investigating the relationship between math anxiety, belongingness in math classes, and help-seeking behaviors among STEM and non-STEM majors. The study involved 41 participants, including 24 STEM majors and 17 non-STEM majors, all undergraduate college students aged 18 to 54. The results revealed that most students (39 out of 41) felt a sense of belonging in their math classes. Correlation analyses showed a significant positive relation between math anxiety and self-reported math competency, “r(41)= .44, p < .01,” and that higher levels of math anxiety were linked to a greater likelihood of avoiding math classes, “r(41)= .35, p = .02”. Students with lower math anxiety were marginally more inclined to seek help from family or friends, “ X2 (12, N = 42) = 20.1, p = .065”. However, there were no significant differences in help-seeking behaviors between STEM and non-STEM majors. Overall, these findings are consistent with previous studies. Nevertheless, more research and interventions are needed to develop supportive math learning environments at the college level, especially for students with higher anxiety.

Development Of The Hearing Emotion/Activity Restrictions On Teenagers (Heart), Robin G. Axelrod

Dissertations, Theses, and Capstone Projects

DEVELOPMENT OF THE HEARING EMOTION/ ACTIVITY RESTRICTIONS ON TEENAGERS (HEART)

By: Robin Axelrod

Advisor: Barbara Weinstein

Background:

The Hearing Handicap Inventory for the Elderly is a self-assessment tool used to assess and quantify the impact of hearing loss on emotional and social wellness in the geriatric population. However, there is not an existing version for the teenage population. Hearing loss has the potential to impact social, emotional, and academic domains in the daily lives of teenagers with hearing loss. In this study, a new self-assessment tool called the Hearing Emotion/ Activity Restrictions on Teenagers (HEART) was created and distributed via …

Machine-Learning Qsar-Based Novel Drug Identification To Inhibit Retinoblastoma Extracellular Vesicle Release And Metastatic Signaling, Kunhui Huang

Dissertations, Theses, and Capstone Projects

Extracellular vesicles (EVs) are lipid-enclosed particles that are generated by most types of cells and have been identified as an important mechanism for cell communication aside from cell direct contact. EVs contain a variety of functional macromolecules including proteins, lipids, RNA, which can be transferred from the host cells to target cells at a distance. The molecular pathways of EV biogenesis have been studied intensely in recent decades and the process involves several key genes and proteins. Cancer cell released EVs target distant tissues and upregulate signals that are attractive to cancer cell homing, playing a role in tumor progression …

From “Total Destruction” To “Total Dictatorship”: The Influence Of Ernst Jünger’S Visionary Fascism, Nick Schiff

Dissertations, Theses, and Capstone Projects

This paper seeks to answer one central question: How can the life and work of Ernst Jünger help illuminate the development of fascist ideas, culture, politics, and power across Europe from 1920-1945? The components of that question are: what were the core elements of Jünger’s aesthetics, morality, and politics? How did he synthesize these elements to create his influential vision of German fascism? What were Jünger’s interactions and exchanges with other European fascists, as well as influential Nazis including Carl Schmitt, Joseph Goebbels, and Adolph Hitler himself? How did Jünger’s new Fascist politics and aesthetics affect them? I argue that …

Explicit Composition Identities For Higher Composition Laws In The Quadratic Case, Ajith A. Nair

Dissertations, Theses, and Capstone Projects

The theory of Gauss composition of integer binary quadratic forms provides a very useful way to compute the structure of ideal class groups in quadratic number fields. In addition to that, Gauss composition is also important in the problem of representations of integers by binary quadratic forms. In 2001, Bhargava discovered a new approach to Gauss composition which uses 2x2x2 integer cubes, and he proved a composition law for such cubes. Furthermore, from the higher composition law on cubes, he derived four new higher composition laws on the following spaces - 1) binary cubic forms, 2) pairs of binary quadratic …

Reconciling Macro- And Micro-Levels In The First Movement Of Brahms’S Piano Concerto In D Minor, Op. 15: A Schenkerian Reading, Alexandra Joan

Dissertations, Theses, and Capstone Projects

This dissertation examines the first movement of Johannes Brahms’s Piano Concerto no. 1, op. 15, through a Schenkerian lens. Concertos are relatively unexplored in Heinrich Schenker’s theoretical work. Surprisingly, although Schenker put Brahms on a pedestal throughout his life, he left only a few published analyses of the composer’s music.

Chapter 1 explores the kinship between Schenker and Brahms. Both conceived of the musical work as an organic entity. They also shared an approach to the tonal language based on an eighteenth-century tradition of figured bass and counterpoint. Op. 15 also exhibits an approach to musical form grounded in the …

Pltl Develops Scholars For Majors In The Built-Environment​, Shpat Halili, Calvin O. Walters Jr.

Publications and Research

The National Science Foundation S-STEM program at NYC College of Technology (City Tech), Developing an Ecosystem of STEM success for Built Environment Scholars (Award Number 2150432), focuses on supporting and developing scholars in the majors relating to the Built Environment. The proposed project includes the expansion of Peer-Led Team Learning (PLTL) at City Tech. The PLTL model creates a supportive learning environment and supplements the faculty-centered classroom with student-led and student-oriented workshops. At City Tech, existing workshops provide curricular support in statics and mathematics. The PLTL program benefits promising first-year STEM students, and the S-STEM program utilizes the PLTL model …

Engineering Thermodynamics, Paul J. Marchese

Open Educational Resources

This collection of assignments is designed for an introductory thermodynamics class. It includes comprehensive readings that cover the fundamental concepts, problem sets to reinforce learning through practical application, and YouTube videos that provide detailed explanations and visual demonstrations of the material. These resources can be utilized in a regular classroom setting or for independent study, offering flexibility to accommodate different learning environments and preferences.

On A Generalization Of A Theorem Of Ibukiyama To Evaluate Three Imprimitive Character Sums, Brad Isaacson

Publications and Research

In a previous paper, we expressed three families of character sums by certain generalized Bernoulli functions which in turn were expressed by generalized Bernoulli numbers via a complicated and indirect process. In this paper, we generalize a theorem of Ibukiyama to directly express these generalized Bernoulli functions by generalized Bernoulli numbers. As a result, we can express the three families of character sums by generalized Bernoulli numbers in a more elegant fashion than was done before.

Chm110 Principles Of Chemistry Lecture Slides, Leah S. Cohen

Open Educational Resources

These modified slides contain information from the first ten chapters from the General, Organic, and Biochemistry: connecting Chemistry to Your Life textbook by Blei & Odian.

Towards A New Role Of Mitochondrial Hydrogen Peroxide In Synaptic Function, Cliyahnelle Z. Alexander

Student Theses and Dissertations

Aerobic metabolism is known to generate damaging ROS, particularly hydrogen peroxide. Reactive oxygen species (ROS) are highly reactive molecules containing oxygen that have the potential to cause damage to cells and tissues in the body. ROS are highly reactive atoms or molecules that rapidly interact with other molecules within a cell. Intracellular accumulation can result in oxidative damage, dysfunction, and cell death. Due to the limitations of H₂O₂ (hydrogen peroxide) detectors, other impacts of ROS exposure may have been missed. HyPer7, a genetically encoded sensor, measures hydrogen peroxide emissions precisely and sensitively, even at sublethal levels, during …