Digital Commons Network^™

Visible Light Photocatalysis Of Organic Reactions In H2o, Sankarsan Biswas

Dissertations, Theses, and Capstone Projects

Visible-light photocatalysis in H₂O provides an attractive, green alternative to typical organic synthesis, which often involves toxic solvents, metal catalysts, and large energy demands. Hence, there is a growing need for an efficient photocatalytic methods that use either aqueous media as a solvent or can proceed solvent-free. However, commercially available photocatalysts do not work well for aqueous photocatalysis. Supramolecular systems in particular have been explored recently to address these issues associated with aqueous photocatalysis. Chapter 1 will review recent advances in aqueous supramolecular photocatalysis with examples of different supramolecular systems and how they have addressed some of the …

Application Of Peo-Ppo-Peo Triblock Copolymers In Synthesis Of Silica And Organosilica Nanomaterials, Shu Zhang

Dissertations, Theses, and Capstone Projects

In this dissertation, the research work focused on the application of Pluronic triblock copolymers, poly(ethylene oxide)-poly(propylene oxide)-poly(ethylene oxide) (PEO-PPO-PEO), in the synthesis of mesoporous material, such as double-helical silica nanotube structures as well as bridged organosilica nanotubes by using swollen micelles of Pluronic surfactants and their mixtures. Chapter 1 introduced the background and several important mesoporous structures, and the relevant topics in this dissertation, such as, silica nanotubes, helical silica nanotubes, silica vesicles and organosilica nanotubes. Chapter 2, continued research works from earlier published paper (ACS Nano 2021, 15, 1016-1029), discussed static treatment and stirring effect on the formation of …

Electron Transport In Quantum Systems With Interaction, Sara Abedi

Dissertations, Theses, and Capstone Projects

No abstract provided.

Topological Shadow Of Higher-Order Topological Phases And Non-Hermitian Phases Protected By Generalized Rotational Symmetry, Kai Chen

Dissertations, Theses, and Capstone Projects

Topological phenomena in condensed matter physics have been investigated intensively in the past decades since the discovery of the integer quantum Hall effect (IQHE). For the IQHE, the energy band can be characterized by its topological invariants (Chern number or TKNN invariant), which relates to the quantized Hall conductance directly. Later, this expression was recognized as the first Chern class of a U(1) principal fiber bundle on a torus, where the fibers and torus correspond respectively to the magnetic Bloch waves and the magnetic Brillouin zone. And then, the discoveries of time-reversal symmetric topological insulators in two and three dimensions …

Data-Centric Machine Learning For Speech And Audio, Ali Raza Syed

Dissertations, Theses, and Capstone Projects

There is growing recognition of the importance of data-centric methods for building machine learning systems. Data-centric methods assume a fixed model and iterate over the data to improve system performance. This is in contrast to traditional model-centric approaches, which assume a fixed dataset and iterate over models for the same ends. Data-centric machine learning is driven by the observation that, beyond the size of the training data, model performance depends on factors such as the quality of the annotations, and whether the data are representative of conditions in which models will be deployed. This is particularly of interest in the …

Conformation Of The U12-U6atac Snrna Complex Of The Minor Spliceosome And Binding By Ntc-Related Protein Rbm22, Joanna Ciavarella

Dissertations, Theses, and Capstone Projects

Splicing of precursor messenger (pre-m)RNA is a critical process in eukaryotes in which the non-coding regions, called introns, are removed and coding regions, or exons, are ligated to form a mature mRNA. This process is catalyzed by the spliceosome, a multi-mega Dalton ribonucleoprotein complex assembled from five small nuclear ribonucleoproteins (snRNP) in the form of small nuclear (sn)RNA-protein complexes (U1, U2, U4, U5 and U6) and >100 proteins. snRNA components catalyze the two transesterification reactions while proteins perform critical roles in assembly and rearrangement. U2 and U6 snRNAs are the only snRNAs directly implicated in catalyzing the splicing of pre-mRNA. …

Removal Of Anisotropic Background From Neutral Pion And Tagged Direct Photon–Hadron Correlations Of Au+Au 200 Gev Collisions, Zachary Rowan

Dissertations, Theses, and Capstone Projects

A reaction plane dependent event mixing technique is developed to remove the collective background from two particle correlation measurements in heavy ion collisions. The method eliminates the need for any external flow measurements and is well suited for studying the path length dependence of particle production in quark-gluon plasma. Central to mid-central, as well as in vs out-of-plane, per neutral pion trigger integrated away-side hadron yield comparisons are made. Results suggest a significant path length dependent partonic energy loss in the medium. A tagging method is also introduced to measure the direct photon yield for various collision criteria. Direct photon …

Witness-Authenticated Key Exchange, Kelsey G. Melissaris

Dissertations, Theses, and Capstone Projects

In this dissertation we investigate Witness-Authenticated Key Exchange (WAKE), a key agreement protocol in which each party is authenticated through knowledge of a witness to an arbitrary NP statement. We provide both game-based and universally composable definitions. Thereby, this thesis presents solutions for the most flexible and general method of authentication for group key exchange, providing simple constructions from (succinct) signatures of knowledge (SOK) and a two round UC-secure protocol.

After a discussion of flaws in previous definitions for WAKE we supply a new and improved game-based definition along with the first definition for witness-authenticated key exchange between groups of …

On The Cryptographic Deniability Of The Signal Protocol, Nihal Vatandas

Dissertations, Theses, and Capstone Projects

Offline deniability is the ability to a posteriori deny having participated in a particular communication session. This property has been widely assumed for the Signal messaging application, yet no formal proof has appeared in the literature. In this work, we present the first formal study of the offline deniability of the Signal protocol. Our analysis shows that building a deniability proof for Signal is non-trivial and requires strong assumptions on the underlying mathematical groups where the protocol is run.

To do so, we study various implicitly authenticated key exchange protocols, including MQV, HMQV, and 3DH/X3DH, the latter being the core …

Essays On Futures Market And Machine Learning, Jonathan J. Lopez Camara

Dissertations, Theses, and Capstone Projects

Chapter 1 - Big Data And Machine Learning To Predict Overnight Interest Rates. This paper is a brief introduction to the two main pieces I have elaborated as part of the dissertation. Here, I explain the reasons why I have done my research about predicting the overnight interest rates for Mexico and the United States using big data and machine learning models. I explain the connection between the two research papers, I define some basic concepts such as future contracts and the overnight funding rate for Mexico. There is a summary about the data I use, and the machine learning …

From Sesame Street To Beyond: Multi-Domain Discourse Relation Classification With Pretrained Bert, Isaac R. Raff

Dissertations, Theses, and Capstone Projects

Research efforts in transfer learning have gained massive popularity in recent years. Pretrained language models have demonstrated the most successful results in producing high quality neural networks capable of quality inference after training across domains via transfer learning. This study expands on the domain transfer introduced in \cite{ferracane-etal-2019-news} exploring neural methods for transfer learning of discourse parsing between a news source domain and a medical target domain. \cite{ferracane-etal-2019-news} specifically discuss transfer learning from news articles to PubMed medical journal articles. Experiments in transfer learning in the current work expand to include three domains: Wall Street Journal articles previously annotated with …

Asymptotic Classes, Pseudofinite Cardinality And Dimension, Alexander Van Abel

Dissertations, Theses, and Capstone Projects

We explore the consequences of various model-theoretic tameness conditions upon the behavior of pseudofinite cardinality and dimension. We show that for pseudofinite theories which are either Morley Rank 1 or uncountably categorical, pseudofinite cardinality in ultraproducts satisfying such theories is highly well-behaved. On the other hand, it has been shown that pseudofinite dimension is not necessarily well-behaved in all ultraproducts of theories which are simple or supersimple; we extend such an observation by constructing simple and supersimple theories in which pseudofinite dimension is necessarily ill-behaved in all such ultraproducts. Additionally, we have novel results connecting various forms of asymptotic classes …

Analyzing The Linguistic Features Of Standardized Math Items: A Text Mining Approach, Magdalen A. Beiting-Parrish

Dissertations, Theses, and Capstone Projects

The following is a five-chapter dissertation surrounding the use of text mining techniques for better understanding the language of mathematics items from standardized tests to improve linguistic equity of these items to support assessment of English Language Learners.

Introduction: The dissertation begins with an overview of the problem that English Language Learners are likely not able to demonstrate their full mathematical ability due to the construct irrelevant variance caused by these items being written in English. This introduction also introduces the idea of text mining as a methodology for use in exploring this test design issue.

Article 1: This article …

Does A Neural Network Inflect Spanish Verbs In A Human-Like Way?, Elizabeth Garza

Dissertations, Theses, and Capstone Projects

How do children learn that a verb like negar-‘to deny’ / niego - ‘I deny’ diphthongizes the 1st person present indicative, while it’s near minimal pair, pegar-‘to stick’ / pego - ‘I stick’, does not? To pursue this question, three small experiments were conducted in Spanish, given its complex and rich morphology. The first experiment was conducted to determine whether the Tolerance Principle of the Rules & Competition model (Yang, 2018) can accurately determine the productivity of verb classes in Spanish, and whether any irregular verb classes are exhibit subregular productivity. The second experiment was conducted to determine …

The Interaction Of Different Primary Producers And Physical And Chemical Dynamics Of An Urban Shallow Lake, Majid Sahin

Dissertations, Theses, and Capstone Projects

An artificial urban shallow lake, Prospect Park Lake (PPL), is situated on a terminal moraine in Brooklyn New York, and supplied with municipal water treated with ortho-phosphates. The constant input of the phosphate nutrient is the primary source of eutrophication in the lake. The numerous pools along the water course houses various aquatic phototrophs, which influence the water quality and the state of the system, driving conditions into favoring the survival of their species. In the first half of the dissertation, the focus of the project is on analyzing how the different primary producers in different regions of PPL affect …

Finite Gaussian Neurons: Defending Against Adversarial Attacks By Making Neural Networks Say "I Don’T Know", Felix Grezes

Dissertations, Theses, and Capstone Projects

In this work, I introduce the Finite Gaussian Neuron (FGN), a novel neuron architecture for artificial neural networks aimed at protecting against adversarial attacks.
Since 2014, artificial neural networks have been known to be vulnerable to adversarial attacks, which can fool the network into producing wrong or nonsensical outputs by making humanly imperceptible alterations to inputs. While defenses against adversarial attacks have been proposed, they usually involve retraining a new neural network from scratch, a costly task.

My works aims to:
- easily convert existing models to Finite Gaussian Neuron architecture,
- while preserving the existing model's behavior on real …

Necessity, Essence And Analyticity: Toward An Analytic Essentialist Account Of Necessity, Dongwoo Kim

Dissertations, Theses, and Capstone Projects

Some truths could not have failed to hold. Such are called metaphysically necessary truths. As Michael Dummett once aptly formulated, the philosophical problem about necessity is twofold: what makes necessary truths necessarily true and how do we recognize them as such? This dissertation aims to address these questions by developing and defending a novel account of necessity, which has the following three main theses: (1) the necessity of a statement about an entity is established as a consequence of a general principle implying that if the entity is a certain way then it is necessarily that way and the fact …

Stability Of Two-Dimensional Magnetic Skyrmions, Amel Derras-Chouk

Dissertations, Theses, and Capstone Projects

Magnetic skyrmions are whirls formed by magnetic moments in a crystal. They have attracted attention largely due to their topological protection, which provides an avenue for technology like next-generation memory storage. The idea of topologically protected solutions of a quantum field theory was originally proposed by Tony Skyrme when he developed a model to explain the stability of hadrons in particle physics. His work has extended far beyond his original intent to several areas of condensed matter physics. Here we focus on skyrmions in magnetic materials.

Skyrme's original theory modeled excitations which exist in three spatial dimensions, a requirement for …

Risk Levels And Adverse Clinical Outcomes Among Patients With Nonvalvular Atrial Fibrillation Receiving Oral Anticoagulants, Gregory Lip, Richard R. Murphy, Farhad Sahiar, Timothy J. Ingall, Amol Dhamane, Mauricio Ferri, Patrick Hlavacek, Madison T. Preib, Allison V. Keshishian, Cristina Russ, Lisa Rosenblatt, Huseyin Yuce, Steve Deitelzweig

Publications and Research

Importance The CHA₂DS₂-VASc score (calculated as congestive heart failure, hypertension, age 75 years and older, diabetes, stroke or TIA, vascular disease, age 65 to 74 years, and sex category) is the standard for assessing risk of stroke and systemic embolism and includes age and thromboembolic history. To our knowledge, no studies have comprehensively evaluated safety and effectiveness outcomes among patients with nonvalvular atrial fibrillation receiving oral anticoagulants according to independent, categorical risk strata.

Objective To evaluate the incidence of key adverse outcomes among patients with nonvalvular atrial fibrillation receiving oral anticoagulants by CHA₂DS_{2 …}

Curricular And Strategic Changes In Mathematics To Enhance Institutional Stem Education, Sandie Han, Boyan Kostadinov, Janet Liou-Mark, Johann Thiel

Publications and Research

No abstract provided.

Do Undergraduate Data Science Program Competencies Vary By College Rankings?, Elizabeth Milonas, Qiping Zhang, Duo Li

Publications and Research

No abstract provided.

Building Capacity: Enhancing Undergraduate Stem Education By Improving Transfer Success, Pamela Brown

Publications and Research

Several evidence-based practices were combined to reduce barriers to transfer from associate to baccalaureate programs, and baccalaureate degree completion. The first strategy was creation of the STEM Transfer Collaborative (STC), an adaption of the CUNY Pathways general education articulation initiative (1). The STC focuses on collaboration by both the sending and receiving college faculty to begin transfer preparation and support before transfer occurs, through articulation agreements, shared professional development to align pedagogy and curriculum, and outreach to potential transfer students. There was also regular feedback to community college faculty on the success of their transfer students. A second strategy employed …

Advancing Student Futures In Stem, Urmi Ghosh-Dastidar, Sandie Han, Nadia Kennedy, Diana Samaroo Phd, Armando Solis

Publications and Research

This work reports a programmatic effort devoted to increasing diversity, equity, and inclusion in STEM education at a Hispanic-serving undergraduate higher-education institution. Between Fall 2015 and Spring 2020, the STEM program offered comprehensive academic and financial support to ninety-four students from five STEM majors: Bachelor of Science degrees in Biomedical Informatics, Applied Chemistry, and Applied Mathematics; and Associate of Science degrees in Chemical Technology and Computer Science. The goals of the program were to: (1) support, retain and graduate academically talented low-income and underrepresented minority students in the five targeted STEM majors; (2) establish a model for a comprehensive support …

Retaining Diverse Groups In Stem, Melanie L. Villatoro

Publications and Research

Colleges across the United States must produce more engineering graduates in order to keep up with demands in the engineering workforce. Population trends indicate that women and minorities are highly underrepresented in the STEM fields therefore recruitment and retention of these populations is critical to closing the predicted gap in the workforce. Perkins Peer Advisement is a grant funded program at New York City College of Technology (City Tech) committed to increasing enrollment and retention of nontraditional students in engineering technology programs. Program activities include professional development, mentoring, and community outreach. Participants of the program have higher retention rates than …

Rna-As-Graphs Motif Atlas—Dual Graph Library Of Rna Modules And Viral Frameshifting-Element Applications, Qiyao Zhu, Louis Petingi, Tamar Schlick

Publications and Research

RNA motif classification is important for understanding structure/function connections and building phylogenetic relationships. Using our coarse-grained RNA-As-Graphs (RAG) representations, we identify recurrent dual graph motifs in experimentally solved RNA structures based on an improved search algorithm that finds and ranks independent RNA substructures. Our expanded list of 183 existing dual graph motifs reveals five common motifs found in transfer RNA, riboswitch, and ribosomal 5S RNA components. Moreover, we identify three motifs for available viral frameshifting RNA elements, suggesting a correlation between viral structural complexity and frameshifting efficiency. We further partition the RNA substructures into 1844 distinct submotifs, with pseudoknots and …

Asian Hate Speech Detection On Twitter During Covid-19, Amir Toliyat, Sarah Ita Levitan, Zeng Peng, Ronak Etemadpour

Publications and Research

Coronavirus disease 2019 (COVID-19) started in Wuhan, China, in late 2019, and after being utterly contagious in Asian countries, it rapidly spread to other countries. This disease caused governments worldwide to declare a public health crisis with severe measures taken to reduce the speed of the spread of the disease. This pandemic affected the lives of millions of people. Many citizens that lost their loved ones and jobs experienced a wide range of emotions, such as disbelief, shock, concerns about health, fear about food supplies, anxiety, and panic. All of the aforementioned phenomena led to the spread of racism and …

Perspectives Of Students With Asd And Their Parents: What Does It Truly Mean To Be Included?, Keara M. Browne

Theses and Dissertations

Though there are a number of practices identified by researchers and other professionals as inclusive, the question remains about whether the students themselves truly feel included. There has been limited research surrounding specific experiences in inclusive classrooms that students with autism spectrum disorder (ASD) perceive to be facilitators and barriers to being included in general education and co-teaching settings. The purpose of this study was to inform educational policies and school practices surrounding the inclusion of students with ASD in general education and co-teaching settings by analyzing the perceptions of students with ASD and their parents to determine what it …

A Decade Review Of Disease Surveillance Research Trends In The International Journal Of Health Geographics (2009 To 2018), Rose Jimenez, Paradorn Wongchanapai

Publications and Research

The field of health geographics is rapidly growing in its methods and epistemologies. This is a review of the open-source journal International Journal of Health Geographics, and the trends in disease surveillance over ten years (2009-2018). Drawing from research review methodologies, we wrote a Python script to quantify research trends within the field of geographic disease surveillance, finding many articles focusing on population health, techniques of GIS, qualitative techniques, and geospatial technology for health monitoring. This was foundational in conducting an in-depth qualitative lexical analysis of article content and epistemologies. Overall, we concluded that over the time period, the …

(2022 Revision) Chapter 6: Essential Aspects Of Physical Design And Implementation Of Relational Databases, Tatiana Malyuta, Ashwin Satyanarayana

Open Educational Resources

No abstract provided.

(2022 Revision) Appendix: Essential Aspects Of Physical Design And Implementation Of Relational Databases, Tatiana Malyuta, Ashwin Satyanarayana

Open Educational Resources

No abstract provided.