Digital Commons Network^™

Computational Approaches To Linguistic Challenges In Arabic Speech Recognition, Enas Albasiri

Dissertations, Theses, and Capstone Projects

This dissertation aims to document the linguistic features of Arabic that pose challenges to speech and language technologies and advance these technologies by developing state-of-the-art computational tools focusing on automatic speech recognition (ASR), text normalization (TN), and corpus development. TN converts expressions such as numbers, dates, and times—named semiotic classes—from their written to their spoken domain, such as converting ‘$84.00’ to ‘eighty-four dollars’, while inverse text normalization (ITN) converts verbalized text to its written form. This conversion is an essential preprocessing step for text-to-speech (TTS), and post-processing step for ASR. Arabic presents a challenge for TN and ITN because one …

Me And Mathematics: “Doing What You’Re Talking About”: In Dialogue With My Family, Eden Morris

Dissertations, Theses, and Capstone Projects

This paper is a philosophically oriented accompaniment to my audio project (accessible through the following link: https://cuny.manifoldapp.org/projects/me-and-mathematics). Working together, the paper and audio collages form a call to action and a resource. My primary finding is the importance of doing what you’re talking about or exploring and implementing your ideas experientially. Doing what you’re talking about is important for effective teaching/learning and feeling in line with oneself. This working concept came to my attention during my research conversation with my oldest living relative, and then, again, with my youngest (non-baby) relative. This doing what you’re talking about is a way …

Illustris-Tng Simulated Central Black Mass(Mbh) And Galaxy Properties Correlations With A Machine Learning Approach, Imani L. Dindy

Dissertations, Theses, and Capstone Projects

Observationaly it is well established that the masses of central black holes are tightly correlated with galaxy properties, most notably the bulge’s velocity dispersion. Cosmolog- ical hydrodynamical simulations can capture most of these correlations, but it is yet not understood why this occurs. To gain greater insight into central black hole growth we use machine learning algorithms to study the relationship between central black hole mass(MBH) and other galaxy properties at z=0 in the TNG simulations. We find that the central black hole mass can be accurately predicted with just a few galaxy properties only if the central black hole …

The Efficacy Of Using Machine Learning Techniques For Identifying And Classifying “Fake News”, Muhammad Islam

Dissertations, Theses, and Capstone Projects

In today's digital world, detecting fake news has emerged as a critical challenge, one that has significant effects on democracy and public discourse at large both regionally and globally. This research studies how diversity of news sources in training datasets affects how well machine learning models can classify fake vs true news. I used the Linear Support Vector Classification (LinearSVC) to create and compare two classification models: one was trained on a dataset that only had real news from a singular source, Reuters (Dataset 1), and the other was trained on a dataset that contained real news from Reuters, The …

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 …

Risk-Benefit Trade-Offs And Precision Utilities In Phase I-Ii Clinical Trials, Pavlos Msaouel, Juhee Lee, Peter F Thall

Faculty, Staff and Student Publications

Background: Identifying optimal doses in early-phase clinical trials is critically important. Therapies administered at doses that are either unsafe or biologically ineffective are unlikely to be successful in subsequent clinical trials or to obtain regulatory approval. Identifying appropriate doses for new agents is a complex process that involves balancing the risks and benefits of outcomes such as biological efficacy, toxicity, and patient quality of life.

Purpose: While conventional phase I trials rely solely on toxicity to determine doses, phase I-II trials explicitly account for both efficacy and toxicity, which enables them to identify doses that provide the most favorable risk-benefit …

Modeling Hydroxide In Classical Proton Hopping Simulations And Amyloid Beta Membrane Pores, Ankita Dutta

Dissertations, Theses, and Capstone Projects

H3O+ and OH- ions display anomalously large diffusion coefficients, a property that is often attributed to their ability to perform structural diffusion which allow these ions to move through aqueous solutions by sequential proton transfers, also known as ‘Grotthuss hopping’. A rearrangement of the local solvation structure is known to be the prerequisite for proton transfer events via these ions. Studying this phenomenon using classical molecular dynamics simulations that do not allow bond rearrangements poses significant obstacles. Here we use a Monte Carlo augmented classical Molecular Dynamics method called the MOBHY algorithm which allows instantaneous changes in protonation states in …

Settingsorder Article Reprints Open Accesseditor’S Choicearticle Exploring The Impact Of Spray Process Parameters On Graphite Coatings: Morphology, Thickness, And Tribological Properties, Adedoyin Abe, Josue A. Goss, Min Zou

Mechanical Engineering Faculty Publications and Presentations

This study explores, through a full factorial experimental design, the effects of graphite concentration and spray flow rate on the morphology, thickness, and tribological performance of graphite coatings for potential tribological applications. Coatings were applied to rough substrates using varying concentrations and flow rates, followed by analysis of their morphological characteristics, roughness, thickness, coefficient of friction (COF), and wear behavior. The results revealed distinct differences in the coating morphology based on flow rate, with low-flow-rate coatings exhibiting a porous structure and higher roughness, while high-flow-rate coatings displayed denser structures with lower roughness. A COF as low as 0.09 was achieved, …

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 …

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 …

Antibiotic Bone Cement Accelerates Diabetic Foot Wound Healing-Elucidating The Role Of Rock1 Protein Expression

Faculty, Staff and Student Publications

No abstract provided.

Trauma-Informed Teaching With Adult English Language Learners: A Study In A Community-Based Organization, Elizabeth Eastman

Doctoral Dissertations

Often, immigrants in the United States have suffered traumatic experiences in their home country, on their journey to the U.S., and/or in their process of acculturation. In English for Speakers of Other Languages (ESOL) classes, symptoms of trauma can interfere with learning and acculturation. Trauma-Informed teaching can meet the needs of students who have been impacted by trauma but it is not often used in ESOL classes. This is due to a lack of teacher training, and a gap in the literature on the effects of the approach and studies that explore the perspectives of the students. Based in phenomenology …

Ai Competency Acquisition Online? Engaging Undergraduate Students In An Ai 101 Course Through A Chatbot Workshop, Thomas Menkhoff, Lydia Teo

Research Collection Lee Kong Chian School Of Business

In recent years, digital transformation has dominated industries at an unprecedented rate. Alongside the proliferation of Artificial ntelligence (AI) technologies in the workplace, institutions of higher learning are experiencing an unprecedented push to integrate AI into the education ecosystem (Popenici & Kerr, 2017; Renz & Hilbig, 2020). AI in education (AIED) has the propensity to enrich teaching and learning in higher education by personalising students’ learning courses, automating assessment tasks, or providing24/7 access to learning resources (Karandish, 2021). According to estimates by the AI Market in the US Education Report, the AIEDmarket will grow at a CAGR of 47.77% during …

The Effect Of Carbon Pricing On Firm Performance: Worldwide Evidence, Tinghua Duan, Frank Weikai Li, Hong Zhang

Research Collection Lee Kong Chian School Of Business

Economists recommend combating climate change with carbon pricing; however, a major block to pricing emissions is concerns about economic costs. This paper examines the impacts of carbon pricing initiatives on the operating performance and market value of publicly listed firms around the world. Using the staggered enactment of carbon pricing initiatives across jurisdictions and a triple difference approach, we find a significant reduction in the profitability and value of carbon-intensive firms relative to low-emission firms after the enactment of carbon pricing policies. The reduction in firm profits is driven by both a decrease in sales growth and an increase in …

High Rates Of Erosion On A Wave-Exposed Fringing Coral Reef, Damian P. Thomson, Shannon Dee, Christopher Doropoulos, Melanie Orr, Shaun K. Wilson, Andrew S. Hoey

Research outputs 2022 to 2026

Erosion is a key process in shaping the physical structure of coral reefs, yet due to erosion being semi-cryptic and difficult to quantify, information remains limited. Here, we investigate erosional processes along Ningaloo Reef, an extensive fringing coral reef in Western Australia. We employed both direct and indirect methods to measure erosion in wave-exposed reef slopes and protected lagoonal habitats. Direct measurements of erosion on coral blocks were among the highest found globally, with total erosion of 3.07 kg m−2 yr−1 (4% from micro, 0.6% from macro, and 94% from external), whilst indirect rates were estimated at 2.4 ± 0.20 …

Ai Employment Decision-Making: Integrating The Equal Opportunity Merit Principle And Explainable Ai, Gary Kok Yew Chan

Research Collection Yong Pung How School Of Law

Artificial intelligence (AI) tools used in employment decision-making cut across the multiple stages of job advertisements, shortlisting, interviews and hiring, and actual and potential bias can arise in each of these stages. One major challenge is to mitigate AI bias and promote fairness in opaque AI systems. This paper argues that the equal opportunity merit principle is an ethical approach for fair AI employment decision-making. Further, explainable AI can mitigate the opacity problem by placing greater emphasis on enhancing the understanding of reasonable users (employing organisations) and affected persons (employees and job candidates) as to the AI output. Both the …

Human-Animal Interaction And Human Prosociality: A Meta-Analytic Review Of Experimental And Correlational Studies, Nicole Ruiying Chen, Nadyanna M. Majeed, Gloria J. Lai, Paye Shin Koh, Manmeet Kaur, K. T. A Sandeeshwara Kasturiratna, Zhi Yan Alycia Ho, Jose C. Yong, Andree Hartanto

Research Collection School of Social Sciences

Pet ownership and interactions with animals confer various physiological and psychological benefits to humans. Although interactions with animals are commonplace, there is no consensus in the literature on the actual impact of animal exposure on prosociality. Hence, this meta-analysis investigated 20 eligible studies (n = 4,116, k = 48) and provided an extensive examination into the different potential moderators of the relationship between human–animal interaction (HAI) and prosociality, such as the distinction between empathy and prosocial behavior, HAI characteristics, and sample characteristics. Overall, a small positive effect size was found (d = 0.22), suggesting that human exposure to animals is …

Synthesis Of Dyes Sulfamidazole: Characterization, Evaluation, Molecular Docking And Global Descriptors By Density Functional Theory (Dft)., Athra G. Sager, Jawad Kadhim Abaies, Zeena R. Katoof

Karbala International Journal of Modern Science

In the present work, novel azo compounds of sulfamidazole were created via the reaction of diazonium salt of sulfamidazole with several aromatic molecules including (resorcinol, 2-nitro phenol, 3-nitro phenol, and 4-nitro phenol)) (Z1–Z4). The new compounds (Z1-Z4) were identified using FTIR, ¹HNMR techniques, in addition to melting point measurements. The biological activity of compounds (Z1-Z4) was studied against four kinds of bacteria including E. coli, Klebsiella pneumonia, Salmonella, and Staphylococcus aureus. The findings showed that all compounds (Z1-Z4) were active against the examined bacteria. Theoretical studies of the antibacterial ability of the prepared compound against DNA gyrase enzyme …

Jesuit Pedagogy's 'Missing Link', Alberto Núñez, Josep M. Lozano

Jesuit Higher Education: A Journal

Jesuit pedagogy has undergone a major renewal in the last fifty years. In this process, various inspirational formulations of its educational vision have been chosen. Despite maintaining a common language and spirituality, we have identified the risk that it is only lived out by a minority of people in Jesuit educational institutions. This paper proposes a re-reading of the Ratio Studiorum (RS) that offers a more precise and complete understanding of Jesuit pedagogy. This leads us to conclude that, in addition to other well-known features, it must involve the institutional governance model, a focus on an educative community that learns …

Gaining Ground: Toward The Development Of Critical Thinking Skills In A Social Problems Course, Ada Haynes, Jacob Kelley, Andrea Arce-Trigatti

International Journal for the Scholarship of Teaching & Learning

The purpose of this article is to contribute to the scholarship of teaching and learning in sociology by examining a set of course redesign improvements made in a Social Problems course at the undergraduate level. These improvements center on increasing students’ critical thinking skills by integrating research-based, innovation-driven learning and student-centered strategies into a four-part course assessment redesign. Using a primarily case study approach, we examine quantitative data in the form of an interdisciplinary pre- and post- Critical thinking Assessment Test (CAT) from students enrolled in one iteration of the redesign for this particular course. Results from this analysis highlight …

Designing An Effective Motivational Climate: Effects On Students’ Effort And Achievement, Margaret Ellis, Brett D. Jones, Fei Gu, Hande Fenerci

International Journal for the Scholarship of Teaching & Learning

We present a case study that demonstrates how instructors can intentionally design a positive motivational climate in online and hybrid courses. We also examine the extent to which students’ perceptions of the motivational climate predict their effort and achievement across three different modalities (face-to-face [FTF], online, and hybrid) of the same course. We surveyed students in an undergraduate computer science course once a semester for three consecutive years (FTF in Year 1, online in Year 2, and hybrid in Year 3). Measures included motivation-related scales and final course grades. Our findings, based on survey responses from 981 students, demonstrate that …

Building A Grassroots Learning Assistant Program, Katie V. Johnson, Lindsay A. Singh, Laura J. Frost

International Journal for the Scholarship of Teaching & Learning

Learning Assistants (LAs) are undergraduates who work in active-learning classrooms with students facilitating discussions and encouraging deeper thinking, while also receiving pedagogical training. We describe how we built an LA program at a regional comprehensive university starting as a grassroots STEM initiative to recruit teachers, and expanding into a campus-wide multi-disciplinary program focusing on student success in a variety of general education courses. Additionally, in the 2020-2021 academic year, we conducted a formative assessment to further understand the program's impact. Our findings revealed strong alignment among students, faculty, and LAs regarding the LA's role in student learning. Qualitative themes from …

Practice What We Preach?: A Review Of Journal Publishing Practices Related To Reflective Writing In Sotl, Laura Cruz, Eileen Grodziak, Hillary H. Steiner, Laura Cruz

International Journal for the Scholarship of Teaching & Learning

Scholarship of Teaching and Learning (SoTL) scholars have long advocated for the inclusion of reflective writing as a legitimate form of scholarship. That said, for those instructors seeking to publish their reflective work, especially scholarly personal narratives (SPNs), there are persistent gaps between the aspirations of the field and the realities of scholarly publishing. The present study seeks to illuminate that gap through a systematic analysis of the policies and practices of academic journals as they pertain to the publication of reflective writing in SoTL. The ultimate aim of the study is to enable editors to close the gap between …

Starting And Sustaining An International Teacher Collaboration: Insights And Recommendations From A Sotl Project., Lindsay J. Neill, Heather Swenson Brilla, Neil Haigh

International Journal for the Scholarship of Teaching & Learning

During the COVID-19 pandemic, two higher education teachers, located respectively in the United States and Aotearoa New Zealand, collaborated in the design of curricula on the relationship between identity and food for their students. Intended to help their students develop cross-cultural knowledge and relationships, they hoped that their collaboration would also benefit their professional relationship and learning at a time when these aspects of their teaching lives were negatively impacted by COVID-19. As a contribution to the scholarship of teaching and learning (SoTL), they undertook, with the help of a researcher colleague, an investigation of (a) factors that influenced their …

Forming International Collaborations For Sotl Research: An Autoethnographic Reflection, Emily Faulconer

International Journal for the Scholarship of Teaching & Learning

This essay serves as a personal narrative to share experiences and lessons learned in using a sabbatical to form international collaborations for SoTL research. I share my motivations for seeking an international collaboration, explore my predicted and realized benefits, and address challenges encountered including time constraints and administrative barriers.

Analysis Of Vibratory Pile Drivers Using Longitudinal And Rotational Oscillations With A Purely Plastic Soil Model, Don C. Warrington

UTC Spring Research and Arts Conference

Driving piles by longitudinal vibrations has been a proven technology since the Gorky dam project in the late 1940’s. Shortly after that drivers which included both longitudinal and rotational oscillations were developed for driving tubular piles, both steel and concrete. Recent renewed interest in this technology for large offshore piles has occasioned the re-examination of the analysis of these piles using methods similar to those that Soviet developers used. In this paper a purely plastic model for both shaft and toe resistance is used parametrically to analyse the performance of these machines. Starting with the free-hanging case of no resistance …

New Teacher Induction Program For Mathematics And The Natural Sciences, Deborah A. Mcallister, Jennifer R. Lynberg, Jason R. Gordon, Lisa S. Wilkes

UTC Spring Research and Arts Conference

The induction program focused on classroom activity. Several topics were based upon Danielson’s Framework for Teaching. Induction activities were drawn from the framework’s four domains: planning and preparation, learning environments, learning experiences, and principled teaching. In addition, reading topics included high-impact teaching strategies, misconceptions in mathematics, and classroom management. Another induction segment was exploration of public science projects. Themes across responses were noted. For classroom management, common themes included all students being capable of learning, each student learns in different ways, and building strong relationships with students is critical. For lesson preparation, the most common area of strength was learning …

Booktok: The Cultural Phenomenon Introducing A Stagnated Industry To A New Generation, Daley Culberson

UTC Spring Research and Arts Conference

BookTok, a creator-driven subset of TikTok that promotes and discusses books, gained popularity in 2020. Its emergence has significantly altered the book industry, allowing once-unknown authors to transform into bestselling novelists with the click of a button. Modern romance, fantasy, and young adult novels are typically favored on BookTok. These novels are vastly different from the books in the traditional literary canon, challenging conventional ideals regarding what types of literature could be considered canonical. Additionally, BookTok is primarily driven by younger users, allowing many teenagers and young adults to rediscover the joy found through reading and writing. This research project …

Prevalence Of Pi*Z And Pi*S Alleles Of Alpha-1-Antitrypsin Deficiency: A Study On Hardy-Weinberg Equilibrium, Foster Opoku, Ziwei Ma

UTC Spring Research and Arts Conference

The α1-Antitrypsin (AT) functions as the primary serum inhibitor of proteolytic enzymes, including neutrophil elastase. The presence of these abnormal alleles disrupts the normal functioning of α1-Antitrypsin (AT), leading to Alpha-1 Antitrypsin Deficiency (AATD). Homozygotes for type Z experience a substantial reduction in serum AT concentration, increasing the risk of pulmonary emphysema or hepatic cirrhosis. Homozygous S alleles and heterozygotes of type SZ exhibit a less severe reduction in serum AT concentration. Clinicians suggest that even though the reduction is less severe, it may still lead to Mild AAT Deficiency.

The primary objective of this study was to enhance our …

Cyberbullying Detection On Twitter Data Using Machine Learning Classifiers, Pradip Dhakal

Data Science and Data Mining

This study compares some of the popular machine learning techniques like Logistic Regression, Multinomial Naive Bayes, K-Nearest Neighbor, and Extreme Gradient Boosting to classify the tweets into three different categories: cyberbullying based on religion, cyberbullying based on ethnicity, or no cyberbullying. First, various data-cleaning approaches are used to clean the tweet data. After the data is clean and ready, the word embedding techniques, such as a bag of words and term frequency-Inverse document frequency, are used to convert the words into mathematical vectors. Finally, the model will be fitted using the combination of the above-mentioned word embedding techniques and machine …