Digital Commons Network^™

The Role Of Dialect Words In Children’S Social Decisions, Madison Rose Myers-Burg

Graduate Theses and Dissertations

Recent research suggests that young children are capable of distinguishing between phonetically dissimilar spoken accents, yet have difficulty distinguishing between phonetically similar accents (Wagner, Clopper, & Pate, 2013). The present study aimed to determine whether the presence of dialect-specific vocabulary enhances young children’s ability to categorize speakers. Participants completed four training trials in which they were familiarized with photos of two children: one of whom used American English labels for test objects and one of whom used British English labels. After training trials, participants completed eight test trials in which they were asked to infer which target child would use …

Teacher Perception And Their Understanding Of Progress Monitoring Throughout A Longitudinal Assessment System, Rena A. Duewel

Graduate Theses and Dissertations

The purpose of this qualitative study was to examine the phenomenon of teacher perception and their understanding of progress monitoring throughout a longitudinal assessment system. This monitoring of student progress is to enhance their academic skills in mathematics and provide necessary interventions for growth as measured on a longitudinal assessment system through fidelity of implementation of interventions processed through progress monitoring. Data was collected from participant responses through interviews, a demographic survey, and focus groups. Interview respondents participated in a closed-door, face-to-face interview. The survey was used to collect specific demographic data to provide a concise snapshot of each individual …

Comparative Study Of Power Semiconductor Devices In A Multilevel Cascaded H-Bridge Inverter, Kenneth Mordi

Graduate Theses and Dissertations

This thesis compares the performance of a nine-level transformerless cascaded H-bridge (CHB) inverter with integrated battery energy storage system (BESS) using SiC power MOSFETs and Si IGBTs. Two crucial performance drivers for inverter applications are power loss and efficiency. Both of these are investigated in this thesis. Power devices with similar voltage and current ratings are used in the same inverter topology, and the performance of each device is analyzed with respect to switching frequency and operating temperature. The loss measurements and characteristics within the inverter are discussed. The Saber® simulation software was used for the comparisons. The power MOSFET …

Philosophia Soteria: How Occupational Safety And Health Professionals Influence Decision Makers, Daniel Jay Snyder

Graduate Theses and Dissertations

The purpose of this study was to identify ideas about how occupational safety and health (OSH) professionals influence decision-makers on matters impacting occupational health and safety management systems. A modified nominal group technique was used that involved 67 participants in ten nominal groups and identified the most important ideas about how OSH professionals can influence workplace safety and health decision making. The research produced themes of communication, scientific, professionalism, leadership, adaptability, and business acumen that resulted in six domains of occupational safety and health professional influence.

Exercise Engagement And Longitudinal Change In Alzheimer's Disease Biomarkers, Regional Brain Structure, And Cognitive Functioning, Marta Stojanovic

Arts & Sciences Graduate Student Theses and Dissertations

No abstract provided.

Washington Park Cemetery: The History And Legacies Of A Sacred Space, Terri Williams

Arts & Sciences Graduate Student Theses and Dissertations

Washington Park Cemetery (WPC) is an historically African American cemetery that has struggled to endure countless years of mistreatment and negligence. It is important to identify not only the cemetery itself as sacred, but also the legacies and stories of those who are laid to rest in the space. Provided is a comprehensive history of the once prominent African American cemetery that examines its origins, various controversies, and current physical state. Since the history of this cemetery has never been collected and compiled into a comprehensive document, this research serves as a historical tool that allows individuals to learn about …

Emotion Differentiation Moderates The Effects Of Rumination On Depression: A Longitudinal Study, Yunjing Liu

Arts & Sciences Graduate Student Theses and Dissertations

Elevated trait rumination is associated with and predicts the onset of major depressive disorder (MDD), but not all people with elevated trait rumination develop MDD. We hypothesize that certain emotional processes weaken the rumination-depression link, protecting people against increases in depression. In the current prospective longitudinal study, we examined one such process, emotion differentiation—the ability to identify and label specific emotions. Because higher negative emotion differentiation (NED) has been associated with greater psychological well-being and people typically ruminate in the context of negative affect, we predicted that NED, but not positive emotion differentiation (PED), would moderate the rumination-depression association, such …

The Prologue To Management: The Effects Of Historical Anthropogenic Activities On Forest Ecosystems And Current Management Opportunities In Southwestern Illinois, John Timothy Lovseth

Dissertations

Forest disturbance occurs on a wide gradient of selectiveness and creates new growth opportunities for adapted species. Across the spectrum of disturbance, anthropogenic disturbance influences community assembly in the Midwest more than other mechanisms but is its role in shaping and maintaining ecosystems is inadequately considered in most discussions on the historic range of variability (HRV). Forest resiliency is threatened by unprecedented agents of ecosystem change such as invasive species and reduced regeneration potential of native species. Historic anthropogenic disturbance largely resulted in forest conditions which commonly contained high value attributes like heterogeneity across habitat types and landscape diversity, yet …

Teacher, Tutor, Scholar, Administrator: Preparation For And Perceptions Of Graduate Writing Center Work, Katrina Bell

Dissertations

This research uses a mixed methods approach to explore the both the preparation for and perceptions of graduate consultant writing center work. A review of literature shows a gap in both the knowledge surrounding graduate writing consultant education and the long-term outcomes or transfer of writing center training and work to post-graduate careers. The survey instruments in this study draw from two established studies, the Peer Writing Tutor Alumni Research Project and the National Census of Writing, while a request for curricular artifacts draws on case study research conducted by Jackson et al. Findings indicate that graduate consultants are being …

The Impact Of Ideology On Lexical Borrowing In Arabic: A Synergy Of Corpus Linguistics And Cda, Sami Hamdi

Language, Literacy, and Sociocultural Studies ETDs

Lexical borrowing is a natural outcome of language contact and one source of neologisms. The traditional view of lexical borrowing explains it as motivated mainly by lexical need or prestige where loans in the recipient language have more or less similar if not identical meanings with the borrowing language. Linguistic adaptation has been often seen grammatically based where grammarians or linguists assume the major task of nativizing foreign terms. This is typical in many studies on linguistic borrowing in Arabic while a secondary attention is given to semantic, sociolinguistic, and educational perspectives. The present study approached lexical borrowing as more …

Comprehensive Sequencing With Surface Tagmentation Based Technology, Kuan Feng

Biomedical Sciences ETDs

Next-generation sequencing technologies (NGS) have undergone extensive improvements since the invention of the 454 sequencing system in 2005. With tremendous progress in throughput, speed and a dramatic reduction in per-base cost, DNA sequencing is widely used in basic science as well as translational research. However, it is still a challenge to acquire a complete human genome. The long-range information is often missing due to the short length of NGS reads, which leaves many gaps in between scaffolds rather than an entire piece for each chromosome. Moreover, without the long-range information, haplotype-resolved genome sequencing and structural variant detection can be difficult, …

Dual-Side Privacy-Preserving Task Matching For Spatial Crowdsourcing, Jiangang Shu, Ximeng Liu, Yinghui Zhang, Xiaohua Jia, Robert H. Deng

Research Collection School Of Computing and Information Systems

With the popularity of mobile phones and the ubiquity of wireless transmission technologies, spatial crowdsourcing (SC) has emerged as a novel approach to outsource location-based tasks to a set of workers who physically move to the designated locations to perform the tasks. To achieve the accurate task matching, both requesters and workers need to expose their locations or queries to the SC-Server, which raises security concerns. Although many protection measures have been proposed, there are some drawbacks in one-side protection, dual-server setting and user scalability when they are applied to the practical crowdsourcing environment. In this paper, we design a …

Living With Artificial Intelligence – Developing A Theory On Trust In Health Chatbots, Weiyu Wang, Keng Siau

Research Collection School Of Computing and Information Systems

The current world is AI-filled and AI-fueled. Humans need to be able to live in harmony with AI. In this research, we aim to develop a theory on Trust between human and health chatbots. With the development of intelligent personal assistants, chatbots are becoming common and ubiquitous. Chatbots can behave as a conversational partner, complete information acquisition, and provide responses to inquiries. Chatbots have been widely used in the healthcare area, supporting physicians and assisting patients. The potential threats to privacy issues and the unpredictable performances of the chatbots hindered people’s trust and adoption of the new technology. This research-in-progress …

Active Matting, Xin Yang, Ke Xu, Shaozhe Chen, Shengfeng He, Baocai Yin, Rynson Lau

Research Collection School Of Computing and Information Systems

Image matting is an ill-posed problem. It requires a user input trimap or some strokes to obtain an alpha matte of the foreground object. A fine user input is essential to obtain a good result, which is either time consuming or suitable for experienced users who know where to place the strokes. In this paper, we explore the intrinsic relationship between the user input and the matting algorithm to address the problem of where and when the user should provide the input. Our aim is to discover the most informative sequence of regions for user input in order to produce …

A Simple Proximal Stochastic Gradient Method For Nonsmooth Nonconvex Optimization, Zhize Li, Jian Li

Research Collection School Of Computing and Information Systems

We analyze stochastic gradient algorithms for optimizing nonconvex, nonsmooth finite-sum problems. In particular, the objective function is given by the summation of a differentiable (possibly nonconvex) component, together with a possibly non-differentiable but convex component. We propose a proximal stochastic gradient algorithm based on variance reduction, called ProxSVRG+. Our main contribution lies in the analysis of ProxSVRG+. It recovers several existing convergence results and improves/generalizes them (in terms of the number of stochastic gradient oracle calls and proximal oracle calls). In particular, ProxSVRG+ generalizes the best results given by the SCSG algorithm, recently proposed by [Lei et al., NIPS'17] for …

Efficient Stochastic Gradient Hard Thresholding, Pan Zhou, Xiao-Tong Yuan, Jiashi Feng

Research Collection School Of Computing and Information Systems

Stochastic gradient hard thresholding methods have recently been shown to work favorably in solving large-scale empirical risk minimization problems under sparsity or rank constraint. Despite the improved iteration complexity over full gradient methods, the gradient evaluation and hard thresholding complexity of the existing stochastic algorithms usually scales linearly with data size, which could still be expensive when data is huge and the hard thresholding step could be as expensive as singular value decomposition in rank-constrained problems. To address these deficiencies, we propose an efficient hybrid stochastic gradient hard thresholding (HSG-HT) method that can be provably shown to have sample-size-independent gradient …

New Insight Into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling And Convexity, Pan Zhou, Xiao-Tong Yuan, Jiashi Feng

Research Collection School Of Computing and Information Systems

As an incremental-gradient algorithm, the hybrid stochastic gradient descent (HSGD) enjoys merits of both stochastic and full gradient methods for finite-sum problem optimization. However, the existing rate-of-convergence analysis for HSGD is made under with-replacement sampling (WRS) and is restricted to convex problems. It is not clear whether HSGD still carries these advantages under the common practice of without-replacement sampling (WoRS) for non-convex problems. In this paper, we affirmatively answer this open question by showing that under WoRS and for both convex and non-convex problems, it is still possible for HSGD (with constant step-size) to match full gradient descent in rate …

An Architectural Design And Evaluation Of An Affective Tutoring System For Novice Programmers, Hua Leong Fwa

Research Collection School Of Computing and Information Systems

Affect is prevalent in learning and it influences students’ learning achievement. This paper details the design and evaluation of an Affective Tutoring System (ATS) that tutors student in computer programming. Although most ATSs are purpose built for a specific domain, making adaptation to another domain difficult, this ATS is architected for adaptability and extensibility. This study also addresses a lack of research exploring the theories and methods of integrating affect and learning within the learning process by proposing methods of regulating the negative affect of students. Both quantitative and qualitative techniques were used for evaluation of the effectiveness of the …

Deep Air Learning: Interpolation, Prediction, And Feature Analysis Of Fine-Grained Air Quality, Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, Zhongfei Mark Zhang

Research Collection School Of Computing and Information Systems

The interpolation, prediction, and feature analysis of fine-gained air quality are three important topics in the area of urban air computing. The solutions to these topics can provide extremely useful information to support air pollution control, and consequently generate great societal and technical impacts. Most of the existing work solves the three problems separately by different models. In this paper, we propose a general and effective approach to solve the three problems in one model called the Deep Air Learning (DAL). The main idea of DAL lies in embedding feature selection and semi-supervised learning in different layers of the deep …

Using Smart Card Data To Model Commuters’ Responses Upon Unexpected Train Delays, Xiancai Tian, Baihua Zheng

Research Collection School Of Computing and Information Systems

The mass rapid transit (MRT) network is playing an increasingly important role in Singapore's transit network, thanks to its advantages of higher capacity and faster speed. Unfortunately, due to aging infrastructure, increasing demand, and other reasons like adverse weather condition, commuters in Singapore recently have been facing increasing unexpected train delays (UTDs), which has become a source of frustration for both commuters and operators. Most, if not all, existing works on delay management do not consider commuters' behavior. We dedicate this paper to the study of commuters' behavior during UTDs. We adopt a data-driven approach to analyzing the six-month' real …

A Cloud-Based Data Gathering And Processing System For Intelligent Demand Forecasting, Colin K. L. Tay, Kyong Jin Shim

Research Collection School Of Computing and Information Systems

Demand forecasting has been a challenging problem especially for products with short life cycles such as electronic goods and fashion items. Additionally, in the presence of limited past or historical data as well as the need for fast turnaround for forecast, producing timely and accurate demand forecast can be extremely challenging. In this study, we describe a cloud-based data gathering and processing system for intelligent demand forecasting.

Data Mining Approach To The Detection Of Suicide In Social Media: A Case Study Of Singapore, Jane H. K. Seah, Kyong Jin Shim

Research Collection School Of Computing and Information Systems

In this research, we focus on the social phenomenon of suicide. Specifically, we perform social sensing on digital traces obtained from Reddit. We analyze the posts and comments in that are related to depression and suicide. We perform natural language processing to better understand different aspects of human life that relate to suicide.

Privacy-Preserving Remote User Authentication With K-Times Untraceability, Yangguang Tian, Yingjiu Li, Binanda Sengupta, Robert H. Deng, Albert Ching, Weiwei Liu

Research Collection School Of Computing and Information Systems

Remote user authentication has found numerous real-world applications, especially in a user-server model. In this work, we introduce the notion of anonymous remote user authentication with k-times untraceability (k-RUA) for a given parameter k, where authorized users authenticate themselves to an authority (typically a server) in an anonymous and k-times untraceable manner. We define the formal security models for a generic k-RUA construction that guarantees user authenticity, anonymity and user privacy. We provide a concrete instantiation of k-RUA having the following properties: (1) a third party cannot impersonate an authorized user by producing valid transcripts for the user while conversing …

Towards Scalable Characterization Of Noisy, Intermediate-Scale Quantum Information Processors, Travis Luke Scholten

Physics & Astronomy ETDs

In recent years, quantum information processors (QIPs) have grown from one or two qubits to tens of qubits. As a result, characterizing QIPs – measuring how well they work, and how they fail – has become much more challenging. The obstacles to characterizing today’s QIPs will grow even more difficult as QIPs grow from tens of qubits to hundreds, and enter what has been called the “noisy, intermediate-scale quantum” (NISQ) era. This thesis develops methods based on advanced statistics and machine learning algorithms to address the difficulties of “quantum character- ization, validation, and verification” (QCVV) of NISQ processors. In the …

Bibliometric Indicators For Assessing The Quality Of Scholarly Communications: A Case Study On International Journal Of Cooperative Information Systems, Basudev Mohanty, Jyotshna Sahoo, Nrusingh Kumar Dash Librarian

Library Philosophy and Practice (e-journal)

This paper analyses various bibliometric dimensions of the journal literature such as authors’ productivity, geographical distribution, citation pattern, institution-wise distribution of articles, discipline-wise distributions of articles, productive institutions, Productivity Index (PI), Activity Index (AI), Domestic Collaborative Index (DCI) and International Collaborative Index (ICI) etc. It also explores the applicability of Lotka’s Inverse Square Law and Zipf’s Law to examine the observed rank – frequency pattern of Keywords and Subject Terms of Information Systems (IS) literature. To illustrate these bibliometric indicators pertinent information on the field of Information Systems (IS) collected from EBSCO database for the International Journal of Cooperative Information …

Essays On The Factors That Contribute To Body Mass Index, Veronica Salinas

Economics ETDs

Using diet, exercise, consumer behavior, and demographic data from the National Health and Nutrition Examination Survey (NHANES), I examine the factors that contribute to body mass index (BMI) for the adult working age population. In Chapters 2 and 3, I examine how female BMI varies by race and ethnicity. In Chapter 4, I study the effect of food deserts on BMI and obesity for both males and females.

In Chapter 2, I use Bayesian Model Averaging (BMA) to examine the factors that influence female BMI for the adult working age population. Results indicate 12 of the 40 covariates are strongly …

Preprocess-Then-Ntt Technique And Its Applications To Kyber And Newhope, Shuai Zhou, Haiyang Xue, Daode Zhang, Kunpeng Wang, Xianhui Lu, Bao Li, Jingnan He

Research Collection School Of Computing and Information Systems

The Number Theoretic Transform (NTT) provides efficient algorithm for multiplying large degree polynomials. It is commonly used in cryptographic schemes that are based on the hardness of the Ring Learning With Errors problem (RLWE), which is a popular basis for post-quantum key exchange, encryption and digital signature.To apply NTT, modulus q should satisfy that , RLWE-based schemes have to choose an oversized modulus, which leads to excessive bandwidth. In this work, we present “Preprocess-then-NTT (PtNTT)” technique which weakens the limitation of modulus q, i.e., we only require or . Based on this technique, we provide new parameter settings for KYBER …

Understanding And Constructing Ake Via Double-Key Key Encapsulation Mechanism, Haiyang Xue, Xianhui Lu, Bao Li, Bei Liang, Jingnan He

Research Collection School Of Computing and Information Systems

Motivated by abstracting the common idea behind several implicitly authenticated key exchange (AKE) protocols, we introduce a primitive that we call double-key key encapsulation mechanism (2-key KEM). It is a special type of KEM involving two pairs of secret-public keys and satisfying some function and security property. Such 2-key KEM serves as the core building block and provides alternative approaches to simplify the constructions of AKE. To see the usefulness of 2-key KEM, we show how several existing constructions of AKE can be captured as 2-key KEM and understood in a unified framework, including widely used HMQV, NAXOS, Okamoto-AKE, and …

Investigating The Electrodeposition Of Plutonium And Curium For Safeguarding The Electrorefiner, Chantell L. Murphy

Nuclear Engineering ETDs

This research investigated the electrochemical deposition behavior of plutonium (Pu) and curium (Cm) for safeguarding the electrorefiner (ER) in a pyroprocessing facility. The main goal of this investigation was to evaluate the feasibility of using a safeguards concept called the neutron balance method to account for Pu in the ER. The neutron balance method relies on a known Pu/Cm ratio and measures neutrons from Cm-244 coming into and leaving a unit operation to track Pu. The application of the neutron balance approach for pyroprocessing facilities requires that Pu and Cm remain together in all extraction, product recovery, and waste streams. …

Triggers, Protectors, And Predictors In Episodic Migraine., Michael J. Marmura

Department of Neurology Faculty Papers

PURPOSE OF REVIEW: A wide variety of triggers prompt attacks in episodic migraine. Although experimental triggers such as glyceryl trinitrate reliably produce migraine, natural triggers are much less predictable and vary in importance between individuals. This review describes the most common triggers in episodic migraine and provides strategies for managing them in clinical practice.

RECENT FINDINGS: Multiple migraine attack triggers have been established based on patient surveys, diary studies, and clinical trials. Stress, menstrual cycle changes, weather changes, sleep disturbances, alcohol, and other foods are among the most common factors mentioned. Clinical studies have verified that fasting, premenstrual periods in …