Digital Commons Network^™

Correlates Of Exam Performance In An Introductory Statistics Course: Basic Math Skills Along With Self- Reported Psychological/Behavioral And Demographic Variables, Laura A. Rabin, Anjali Krishnan, Rose Bergdoll, Joshua Fogel

Publications and Research

This study investigated whether basic mathematics skills are associated with undergraduate psychology statistics course performance while simultaneously considering self-reported psychological/behavioral and demographic variables. Participants (n = 460) completed a Math Assessment for College Students (MACS), which included questions ranging from calculating percentages to graphical interpretation. The researchers used a discriminant correspondence analysis to reveal differences in course performance evaluated as the average of three exam grades. For the variation in the average exam scores accounted for by our model, the MACS scores provided the largest contribution. Other variables associated with better exam grades included white ethnicity, non-transfer status, lower year …

Getting To Work: Information Literacy Instruction, Career Courses, And Digitally Proficient Students, Alexandra Hamlett

Publications and Research

This article discusses how following graduation, students often enter the job market unprepared to find, evaluate, and use information in the digital environment effectively. Essentially, there is a disparity between the skills students attain in college coursework, including information literacy (IL) skills, and those required in the workplace, which impacts graduates’ success as new members of the labour market. The article highlights how collaboration between a librarian and an instructor of a career centered course influenced instructional design for IL instruction in their courses. Librarians and instructors will benefit from practical examples from Guttman Community College’s innovative IL Program and …

Towards Automated Software Evolution Of Data-Intensive Applications, Yiming Tang

Dissertations, Theses, and Capstone Projects

Recent years have witnessed an explosion of work on Big Data. Data-intensive applications analyze and produce large volumes of data typically terabyte and petabyte in size. Many techniques for facilitating data processing are integrated into data-intensive applications. API is a software interface that allows two applications to communicate with each other. Streaming APIs are widely used in today's Object-Oriented programming development that can support parallel processing. In this dissertation, an approach that automatically suggests stream code run in parallel or sequentially is proposed. However, using streams efficiently and properly needs many subtle considerations. The use and misuse patterns for stream …

Prophecy, Emanation, And The Mediterranean Middle Ages, Alberto Gelmi

Dissertations, Theses, and Capstone Projects

This dissertation explores the notion of prophecy as a semiotic construct in Judaism, Christianity, and Islam on a chronological span that runs from Late Antiquity to the 14^th century. It argues that theories of prophecy offer useful insights in the domain of rhetoric and not just in epistemology, as scholarship has predominantly contended. The first two chapters survey the trendsetting work of Augustine, al-Kindi, al-Farabi, Ibn Sina, and Maimonides, arguing that their semiotic angle on prophecy depends on a structural affinity with the metaphysical template of emanationism as formulated by Plotinus and Proclus, whose teachings went often misrepresented or …

Effects Of Working Memory Load On Ensemble Versus Individual Object Processing, Clark Moore

Dissertations, Theses, and Capstone Projects

Ensemble perception is the ability of the visual system to summarize object groups by their statistical properties. At a fundamental level, past studies show clearly that ensembles are perceived, and statistical information is sent to working memory such that a subject may report on the averages (Ariely, 2001; Brady and Alvarez, 2011). Studies show that subjects are capable of reporting ensemble statistics for large groups of objects with high accuracy, inferring that this process bypasses the capacity limitations of attention and working memory (Chong and Treisman, 2003; Baijal et al., 2013; Huang, 2015; Epstein and Emmanouil, 2017, 2021). However, few …

Mechanism Design And Modeling To Analyze Complex Social Systems For Public Policy, Haripriya Chakraborty

Dissertations, Theses, and Capstone Projects

The study of complex systems is an important area of research. Many scenarios require the ability to simulate large multi-agent systems with minimal artificial assumptions. We are currently living in a world where the adoption of artificial intelligence (AI) in various areas is increasing rapidly. This, in turn, has serious consequences from a computational and policy perspective. The focus needs to be on designing systems that are not only computationally elegant and efficient but also ethical. The goal of this thesis is to examine some of the ways AI can be used to simulate complex social systems. In addition, we …

The “Knapsack Problem” Workbook: An Exploration Of Topics In Computer Science, Steven Cosares

Open Educational Resources

This workbook provides discussions, programming assignments, projects, and class exercises revolving around the “Knapsack Problem” (KP), which is widely a recognized model that is taught within a typical Computer Science curriculum. Throughout these discussions, we use KP to introduce or review topics found in courses covering topics in Discrete Mathematics, Mathematical Programming, Data Structures, Algorithms, Computational Complexity, etc. Because of the broad range of subjects discussed, this workbook and the accompanying spreadsheet files might be used as part of some CS capstone experience. Otherwise, we recommend that individual sections be used, as needed, for exercises relevant to a course in …

My Interdisciplinary Perspective On Climate Change [Natural Sciences], Richa Gupta, Tuli Chatterji, Tao Chen, Rebecca Schwartz

Open Educational Resources

This assignment titled “My Interdisciplinary Perspective on Climate Change” was developed in Fall 2020 as the signature assignment of the STEM Learning Community LC50 for students enrolled in the Biology program of the Natural Sciences department, at LaGuardia Community College, CUNY. The assignment targets Integrative Learning and Global Learning Core Competencies, and Digital/Oral Communication Abilities.

For this STEM Cluster, “Climate Change” is the shared theme that connects learning from the different disciplines and helps build students’ overall knowledge on an imperative issue that our planet currently faces. Work on this assignment entails a narrated digital student presentation on the various …

Data Analysis And Visualization To Dismantle Gender Discrimination In The Field Of Technology, Quinn Bolewicki

Dissertations, Theses, and Capstone Projects

In the United States, a significant population is facing an uphill battle trying to thrive in an industry that has seen exponential growth in recent years. Women, who account for approximately 50.8% of the U.S. population are statistically underpaid and underrepresented in science, technology, engineering, and mathematics (STEM). Despite women-led technology teams establishing a 21% greater return on investment than teams who don’t, and young women largely outperforming men in math according to a 2015 study, there are only three fortune 500 companies led by women, and they comprise only 10% of internet entrepreneurs. Research generates hundreds of articles, infographics, …

Mario Levrero: Un Estudio Fenomenológico De Su Obra, Sergio Alves

Dissertations, Theses, and Capstone Projects

This dissertation examines three novels of Mario Levrero, which have an unnamed first-person narrator, and his autobiographical-essay-memoir type of works. The novels, known as the “involuntary trilogy”, have been considered by many as a kind that belongs to the subgenre of the fantastic. In both types of literature, we agreed that Husserlian phenomenology was an unavoidable and substantial frame for any discussion. The part of the fictional narrative considered here, by its plots, themes, narrator and characters, vocabulary and concepts, brought us to observe parallelisms with phenomenology as a discipline and body of knowledge, and as a process and attitude. …

Iron And Iodine-Mediated Reactions, Xiaochen Liu

Dissertations, Theses, and Capstone Projects

This thesis work focuses on developing facile, low-cost, and environmentally friendly reactions, specifically the iron and iodine-mediated reactions, including (1) iron-catalyzed reductive ring-opening of 3,5-disubstituted isoxazoles and isoxazolines in aged N-methyl-2-pyrrolidone (NMP*), (2) iodine-mediated C-N bond cross-coupling reactions between amides and aldehydes, and (3) ICl-mediated functionalization of β-alkoxy alkynes – synthesis of α-iodo-γ-chloro-ketones.

Chapter I provides a background introduction on previous synthesis and applications of β-enaminones and 1,3-diketones that play as synthons or ligands. Ring-openings of heterocycles, such as isoxazoles and isoxazolines have attracted great attentions. A newly developed iron-catalyzed reductive system was established upon our previous palladium-catalyzed research. …

Hierarchical Hyperbolicity Of Graph Products And Graph Braid Groups, Daniel James Solomon Berlyne

Dissertations, Theses, and Capstone Projects

This thesis comprises three original contributions by the author concerning hierarchical hyperbolicity, a coarse geometric tool developed by Behrstock, Hagen, and Sisto to provide a common framework for studying aspects of non-positive curvature in a wide variety of groups and spaces.

We show that any graph product of finitely generated groups is hierarchically hyperbolic relative to its vertex groups. We apply this to answer two questions of Genevois about the electrification of a graph product of finite groups. We also answer two questions of Behrstock, Hagen, and Sisto: we show that the syllable metric on a graph product forms a …

Computational Modeling Of Water And Proteins In Drug Discovery, Anthony Cruz Balberdy

Dissertations, Theses, and Capstone Projects

This thesis aims to improve how structural and thermodynamic properties of water on protein surfaces can be exploited to aid early stage drug discovery and lead optimization. We first discuss our development of SSTMap, a public domain software suite that maps out the properties of water on biomolecular surfaces. We then show the utility of these maps in describing differences in binding affinities between congeneric pairs of ligands. We then discuss our use of solvation maps in the prospective discovery of novel binders to cytochrome C peroxidase. Finally, we present our creation and validation of a homology model of Interleukin-24 …

Optimization Of Materials For Magnetic Refrigeration And Thermomagnetic Power Generation, Anthony N. Tantillo

Dissertations, Theses, and Capstone Projects

The magnetocaloric effect, by which a magnetic material experiences a change in temperature due to an applied magnetic field, can be used for refrigeration. The corollary to the magnetocaloric effect -- known as the pyromagnetic effect -- is the phenomenon by which a magnetic material experiences a thermally-induced change in magnetization that can be used to harvest thermal energy. This dissertation has two main parts: one focusing on novel materials for energy harvesting; and another focusing on methods of materials discovery for refrigeration purposes. Thermomagnetic power generation (TMG) is the process by which magnetic flux, which comes from a temperature-driven …

Photosensitization And Analytical Study On Reactive Oxygen Intermediates: Self-Sorting Surface Radicals And “On-Off” Sensitizer Function Mechanisms, Sarah J. Belh

Dissertations, Theses, and Capstone Projects

This thesis consists of four chapters which are detailed below. Chapter 1 is an introductory chapter, which lays out the background and purpose of the research.

Chapter 2 describes a study of the mobility of alkoxy radicals on a surface by detection of their recombination product. A novel method called symmetrical product recombination (SRP) utilizes an unsymmetrical peroxide that upon sensitized homolysis recombines to a symmetrical product [R'OOR → R'O•↑ + •OR → ROOR]. This allows for self-sorting of the radical to enhance the recombination path to a symmetrical product, which has been used to deduce surface migratory aptitude. SPR …

Metareasoning, Opportunistic Exploration, And Explanations For Autonomous Indoor Navigation, Raj Korpan

Dissertations, Theses, and Capstone Projects

Autonomous indoor navigation is an important task for mobile robots deployed without a map in real-world environments, such as museums or offices. While it travels, an autonomous robot navigator must contend with lack of prior knowledge, sensor noise, actuator error, and inquisitive people. This dissertation addresses these challenges with a cognitively-based hierarchical reasoning architecture that incorporates learning, exploration, reactivity, planning, heuristics, and explanations. Evaluation by simulation in large, complex, indoor environments shows that a robot controller can successfully navigate without a detailed map of every obstruction's location when it performs limited initial global exploration and plans in its learned spatial …

Quantum Transport In Topological Magnets, Haiming Deng

Dissertations, Theses, and Capstone Projects

In the past several years, a new field of symmetry-protected topological materials has emerged in condensed matter physics, based on the wide range of consequences that result from the realization that certain properties of physical systems can be expressed as topological invariants, which are insensitive to local perturbations. This new class of materials hosts unique surface/edge states, such as the first known topological system – quantum Hall insulator with dissipationless chiral edge states, and massless spin-helical Dirac surface states in 3D topological insulators that are unlike any other known 1D or 2D electronic systems. In this thesis, to understand the …

Mechanistic And Synthetic Studies Of Oxidopyrylium Cycloaddition Reactions, Lauren P. Bejcek

Dissertations, Theses, and Capstone Projects

Cycloaddition chemistry has historically served as a robust route to stereo-rich and highly functionalized cyclic and heterocyclic compounds. Herein we describe our examination of 3-hydroxy-4-pyrone-derived oxidopyrylium cycloadditions in both mechanistic considerations as well as the unique synthetic advancements of their corresponding cycloadducts. Chapter 1 is a literature review where we specifically outline the use of oxidopyrylium cycloadditions in the synthesis of natural products. This includes the mention of previous syntheses prior to 2008, and a more thorough examination of the natural products synthesized from 2008 to present. The work exploits this chemistry as a facile route to highly complex 7-membered …

Machine Learning Classification Of Traumatic Brain Injury Patients Versus Healthy Controls Using Arterial Spin Labeled Perfusion Mri, Vanessa I. Grass

Dissertations, Theses, and Capstone Projects

Traumatic brain injury (TBI) is one of the most common causes of death and disability worldwide, yet accurate in vivo detection of TBI neuropathology remains challenging due to complexities in the structural and functional changes observed post-injury as well as limitations in conventional neuroimaging modalities. Although advanced neuroimaging techniques such as arterial spin labeling (ASL) can noninvasively assess cerebral blood flow (CBF) changes observed post-injury, this technique is underutilized in TBI research partly due to the low signal-to-noise-ratio (SNR) inherent in ASL imaging. The aim of the current study is to examine the use of machine learning, specifically a Support …

From Psychology To Phylogeny: Bridging Levels Of Analysis In Cultural Evolution, Mason Youngblood

Dissertations, Theses, and Capstone Projects

Cultural evolution, or change in the socially learned behavior of a population over time, is a fascinating phenomenon that is widespread in humans and present in some non-human animals. In this dissertation, I present an array of cultural evolutionary studies that bridge pattern and process in a wide range of research models including music, extremism, and birdsong. The first chapter is an introduction to the field of cultural evolution, including a bibliometric analysis of its structure. The second and third chapters are studies on the cultural dynamics of music sampling traditions in hip-hop and electronic music communities and far-right extremism …

Skyrmions And Biskyrmions In Magnetic Films, Daniel Capic

Dissertations, Theses, and Capstone Projects

Skyrmions have garnered significant attention in condensed matter systems in recent years. In principle, they are topologically protected, so there is a large energy barrier preventing their annihilation. Furthermore, they can exist at the nanoscale, be manipulated with very small currents, and be created by a number of different methods. This makes them attractive for use in potential computing applications. This work studies ferromagnetic skyrmions. In particular, it highlights our small contributions to the field of skyrmions in condensed matter systems, specifically in thin-film ferromagnets.

Social Production Of Intellectual Disability And The Mechanics Of Moral Exclusion: Past, Present, And Future, Emese Ilyes

Dissertations, Theses, and Capstone Projects

The institutionalized dehumanization in the United States continues to allow for people who are categorized as intellectually disabled to be legally warehoused and paid as little as pennies per hour to complete rote, repetitive work within segregated environments. An entire court case was conducted about whether a man labeled as intellectually disabled was able to engage in a consensual relationship or whether he was the victim of sexual assault without ever allowing him to express his desires and lived experiences. This project is an attempt to explore a theoretical, historical explanation for how humanity is denied in some bodies, how …

Applying Deep Learning On Financial Sentiment Analysis, Cuiyuan Wang

Dissertations, Theses, and Capstone Projects

Portfolio Investment has always been appealing to investors and researchers. In the past, people tend to use historical trading information of the securities to predict the return or manage the portfolio. Nowadays, the literature has been proved that the market sentiment could predict asset prices. Specifically, it has been shown that the stock market movement is related to financial news and social media events. Thus, it becomes necessary to extract the sentiment of the financial news. We explicitly introduce the application of dictionary methods, traditional machine learning models and deep learning models on text classification. The experiment results show that …

A Lasting Impression: Higher Education’S Effects On Mass Polarization In The Us, Bradley Highfield

Dissertations, Theses, and Capstone Projects

Political polarization has been growing exponentially over the past few decades, not only with political elites and party activists, but also in the mass public. During the same period of time, the United States has also seen an exponential increase in higher education attainment. This paper examines the possible relationship higher education and elite political polarization may have in regards to the increasing polarization within the American electorate. Additionally, I aim to extrapolate how collegiate institutions create an increase in ideological polarization, as well as affective partisanship, while synthesizing Political Science studies on the effects of college education towards political …

Essays On Market Structure, Price-Setting, And Spillovers, Nicholas J. Bauer

Dissertations, Theses, and Capstone Projects

Chapter 01: This paper explores the firm’s pricing-setting behavior through the lens of market structure and exchange rate pass-through. The basis for this chapter stems from a four-tiered nested constant elasticity of substitution demand function, where firms have non-negligible sector and subsector market shares. This model allows the firm to compete against firms within the same subsector, as well as against firms within other subsectors. From this model, I identify three propositions. First, a u-shaped price response in both sector and subsector market shares to an exchange rate movement. Second, a hump-shaped price response in subsector market share and a …

Design, Synthesis And Evaluation Of Molecules With Selective And Poly-Pharmacological Actions At D1r, D3r And Sigma Receptors, Pierpaolo Cordone

Dissertations, Theses, and Capstone Projects

The dopamine D3 receptor (D3R) is one of the most studied receptors involved in drug addiction. One of the most common strategies to treat substance use disorders is via D3R antagonism. The majority of the D3R antagonists synthesized so far have poor pharmacokinetic properties and/or lack selectivity toward D3R. In this thesis, the design, synthesis and biological evaluation of novel molecules that target the dopamine D1 receptor (D1R), D3R and the serendipitous discovery of molecules that target s receptors will be described.

Chapter 1 presents a survey of the fundamental pharmacology of D1R, D3R and s receptors and the therapeutic …

Synthetic And Biological Studies On Benzazepine Derivatives As Dopamine Receptor Ligands, Rajan Giri

Dissertations, Theses, and Capstone Projects

Dopamine (DA) receptors, members of the G-protein coupled receptors (GPCRs) family, are divided in two groups based on their transmembrane structural homology domains: D1R-like (D1R, D5R sub-types) and D2R-like DA receptors (D2R, D3R and D4R sub-types). Disturbances in dopaminergic neurotransmission are associated with several CNS disorders. Hence, DA receptor selective ligands have been sought as pharmacological agents to normalize perturbations in the dopaminergic system. Despite several notable efforts, the discovery of highly selective ligands for dopamine receptor sub-types has proved challenging due to close transmembrane structural similarity, especially between DA receptor sub-types within the same group.

The 1-phenylbenzazepine scaffold is …

Learn Biologically Meaningful Representation With Transfer Learning, Di He

Dissertations, Theses, and Capstone Projects

Machine learning has made significant contributions to bioinformatics and computational biol­ogy. In particular, supervised learning approaches have been widely used in solving problems such as bio­marker identification, drug response prediction, and so on. However, because of the limited availability of comprehensively labeled and clean data, constructing predictive models in super­ vised settings is not always desirable or possible, especially when using data­hunger, red­hot learning paradigms such as deep learning methods. Hence, there are urgent needs to develop new approaches that could leverage more readily available unlabeled data in driving successful machine learning ap­ plications in this area.

In my dissertation, …

Emergent Photophysics In Diketopyrrolopyrrole Superstructures, Andrew Levine

Dissertations, Theses, and Capstone Projects

Organic semiconductors have received substantial attention as active components in optoelectronic devices because of their processability and customizable electronic properties. Tailoring the organic active layer in these devices to exhibit desirable optoelectronic properties requires understanding the complex and often subtle structure-property relationships governing their photophysical response to light. Both structural organization and frontier molecular orbitals (FMO) play pivotal roles in energy relaxation processes, and complex interplay between organization and orbital energies are difficult to anticipate based upon the molecular structure of the components alone, especially in systems comprised of multiple components. In pursuit of design rules, there is a need …

Relationships Between Sports, Physical Activity Participation, And Phys-Ed Gpa: Results And Analyses From A National Sample Of Asian American Students, Howard Z. Zeng, Raymond E. Weston, Juan Battle

Publications and Research

Relationships among sports, physical activity (PA) participation, and educational outcomes have been studied in various venues, however, used a longitudinal method with a national sample of Asian-American High-School Students (AAHSS) was barely covered. This study employed the latest National High-School Longitudinal Study data (Participants, N = 950); hierarchical regression modeling and intersectionality theory examined, analyzed, and evaluated the relationships among sports, PA participation, and the outcomes on the physical education grade point average (Phys-Ed GPA). Moreover, the demographics factors impact on the participants' Phys-Ed GPA was also analyzed and evaluated. The primary results included: 1) the female students who participate …