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The Impact Of Explicit Instruction In Phonics And Phonological Awareness On Kindergarten English Learners’ Reading Scores, Emily Goranson

School of Education and Leadership Student Capstone Theses and Dissertations

Goranson, E. (2024). The Impact of Explicit Instruction in Phonics and Phonological Awareness on Kindergarten English Learners’ Reading Scores

Language Essentials for Teachers of Reading and Spelling, or LETRSR, is a popular professional development course among early elementary teachers, which promises to restructure the teaching of literacy. An English as a Second Language (ESL) teacher inquired if LETRSR-endorsed practices would benefit the reading growth of English language learners. This research posed the question, How does explicit and systematic instruction in phonics and phonological awareness impact reading growth for kindergarten students who qualify for English language services? The LETRSR framework seems …

Faculty List

Journal of Dispute Resolution

No abstract provided.

How Can Courts–Practically For Free–Help Parties Prepare For Mediation Sessions?, John Lande

Journal of Dispute Resolution

Consider two hypothetical scenarios of mediations of a personal injury lawsuit. In one scenario, Kenji, the plaintiff, arrived at the mediation session feeling anxious because his attorney hadn’t told him much about the process and he didn’t know what to expect. He didn’t understand the factual and legal issues, how the mediation would unfold, or how he might participate in the process. He felt demoralized because he didn’t know enough to feel confident and assertive about making decisions in his case. In the mediation session, he spent a lot of time alternately hearing the mediator explain why he couldn’t get …

Ombuds Programs: How Alternative Dispute Resolution Improves The Lives Of Native Long-Term Care Residents, Brett Newberry

Journal of Dispute Resolution

Many Americans will spend at least some time in a long-term care facility. During their stay, every resident should receive competent care and maintain the highest possible quality of life. Long-term care ombuds programs exist to help achieve these goals. Long-term care ombuds (“LTCOs”) advocate for individuals living in long-term care facilities and for improvements to the long-term care system. Tribal long-term care ombuds are a subset of LTCOs who connect with and advocate for Native residents living in long-term care facilities. LTCOs help facilitate dispute resolution between residents, facilities, and family members, and work to improve resident care. The …

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome After Sars-Cov-2 Infection, Elizabeth R. Unger, Jin-Mann S. Lin, Lauren E. Wisk, Huihui Yu, Michelle L'Hommedieu, Helen Lavretsky, Juan Carlos C. Montoy, Michael A. Gottlieb, Kristin L. Rising, Nicole L. Gentile, Michelle Santangelo, Arjun K. Venkatesh, Robert M. Rodriguez, Mandy J. Hill, Rachel E. Geyer, Efrat R. Kean, Sharon Saydah, Samuel A. Mcdonald, Ryan Huebinger, Ahamed H. Idris, Jocelyn Dorney, Bala Hota, Erica S. Spatz, Kari A. Stephens, Robert A. Weinstein, Joann G. Elmore

Department of Emergency Medicine Faculty Papers

IMPORTANCE: Chronic symptoms reported following an infection with SARS-CoV-2, such as cognitive problems, overlap with symptoms included in the definition of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS).

OBJECTIVE: To evaluate the prevalence of ME/CFS-like illness subsequent to acute SARS-CoV-2 infection, changes in ME/CFS symptoms through 12 months of follow-up, and the association of ME/CFS symptoms with SARS-CoV-2 test results at the acute infection-like index illness.

DESIGN, SETTING, AND PARTICIPANTS: This prospective, multisite, longitudinal cohort study (Innovative Support for Patients with SARS-CoV-2 Infections Registry [INSPIRE]) enrolled participants from December 11, 2020, to August 29, 2022. Participants were adults aged 18 to 64 …

Teachers' And School Directors' Perceptions Of The Benefits Of Arts-Integrated Instruction K-2: Before, During, And After Covid-19, Alison H. Mehler

USF Tampa Graduate Theses and Dissertations

The purpose of this study is to explore the experiences and perceptions of teachers who use arts-integrated instruction and their directors of K-2 students before, during, and after the unique period of online instruction during the COVID-19 pandemic, which began in March of 2020. Arts integration is a method of teaching in which students are taught comprehension of subject areas (i.e. – math, science, reading, social studies) through art forms. These art forms include music, theatre, dance, art, and writing. I collected he qualitative data for this research through virtual interviews with five female participants. I transcribed these interviews and …

What Are The Psychosocial Effects Of Service Dogs On Handlers With Disabilities, Kylie Kline

University Honors Theses

This study looks to explore the psychosocial effects that service dogs have on handlers with disabilities. A cross-sectional survey designed to gather information about this directly from service dog handlers was administered to a sample of 20 participants. Then, a qualitative analysis was conducted on data from the survey using an inductive coding scheme that identified themes in the data as key terms and ideas emerged.

Results revealed many nuances surrounding service dogs' effects on handlers' psychosocial health. Notable results include: 20 of 20 participants (100%) reporting their service dogs have had positive impacts on their quality of life; 19 …

Abroad In The Archives: Engaging Students Across Cultures And Through Time, Christiane Métral

French Studies: Faculty Publications

No abstract provided.

A Global Perspective On The Treatment And Maintenance Of Mature Skin Using Gentle Cleansers And Moisturizers, Joachim Fluhr, Andrew Alexis, Anneke Andriessen, Olga Barrios, Peter Bjerring, Peter Foley, Michael Gold, Hashim Kaderbhai, Chengfeng Zhang

Internal Medicine, East Africa

Xerosis is highly prevalent in the population aged over 50 years and substantially impacts quality of life due to the associated stigma, related pruritus, and potential sequelae. We propose that the term mature xerosis be used for subjects over 50 who suffer from age-related xerosis and replace senile xerosis to describe the phenomenon. The etiology of xerosis depends on genetic and environmental factors that affect stratum corneum hydration and skin barrier function. Skincare to restore barrier function is essential in xerosis treatment and is relevant for maintaining and preventing its progression. Many moisturizers and cleansers are available for xerosis; however, …

Identity Configuration Of Physician Clinician Educators: A Mixed Methods Study, Lindsey D. White

Organization, Information and Learning Sciences ETDs

This study explores identities of physician clinician educators (CEs) and finds that their identities are multiple and that the COVID-19 pandemic impacted CE identity configuration. Following a sequential explanatory mixed-methods design (quan -> QUAL), participants (n = 115) completed the Physician Clinician Educator Identity Survey (PCEIS) and semi-structured interviews (n = 12). Exploratory factor analysis resulted in a three-factor model; the PCEIS is an acceptable measure of singular CE identity, collective identity, and the impact of the COVID-19 pandemic on CE identity. Qualitative results confirmed the quantitative results and revealed that CEs experience identity enhancement and conflict among multiple identities …

Essays On The Societal Impacts Of Housing Programs And Substance Use Disorder Treatment, Rex W. Sitti

Economics ETDs

I present three essays that contribute to understanding the secondary costs and benefits associated with programs that address homelessness and substance use disorder (SUD) treatment. The first essay investigates whether homeless shelters impact property values. Despite anecdotal claims of property devaluation, endogeneity challenges limit empirical research on homelessness programs. Using data from the Department of Housing (HUD) and Seattle’s King County Department of Assessment, I address these challenges using spatial difference-in-differences methodology, revealing nuanced effects favoring permanent supportive housing. The second essay leverages the Built for Zero program to examine the link between homelessness and crime. Analyzing HUD and crime …

Integrating Remote Sensing And Machine Learning To Determine Past, Current And Future Crop Water Use From The Nubian Sandstone Aquifer System, Moaz Ishag

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

The agriculture sector is a significant consumer of water, and sustainable water use begins with monitoring irrigated land. Delineating irrigated land supports decision-makers and promotes the sustainable use of this crucial resource. This study focuses on the Nubian Sandstone Aquifer System (NSAS), the largest aquifers in the world, which spans Egypt, Sudan, Libya, and Chad. The study aims to: 1) quantify the increase in irrigated hectares (both pivot and non-pivot) from 2000-2001 to 2023-2024; 2) identify major irrigated crop types and their water requirements; and 3) quantify groundwater crop water use from the NSAS using remote sensing via the Google …

Uncovering Over 150 Years Of Herbarium Specimen Data To Examine The Impacts Of Climate Change On Alpine Plant Phenology In The Southern Rocky Mountains, Erin Berkowitz

Museum Studies Theses

Due to generalized botanical collecting practices, herbarium specimens provide important long term data dating back hundreds of years. The historical data preserved in herbaria can be used to study biological responses to climate change, such as changes in plant phenology, across various habitats including understudied alpine ecosystems. This study will use historical data from over one hundred years of plant collecting, along with updated collecting and community science efforts, to investigate how climate change is influencing alpine plant phenology in the Southern Rocky Mountains. These records will be analyzed alongside historical climate data to explore phenological sensitivities to climate change, …

Van Raalte Hall, Hope’S Former Campus Center; Hope’S First International Graduates: Class Of 1879, Wyatt Wilcox, Douglas Braat

Archives and Special Collections Quarterly

Van Raalte Hall, Hope’s Former Campus Center

Column: From the Director of Archives and Special Collections

Hope’s First International Graduates: Class of 1879

A Deep Learning Method To Predict Bacterial Adp-Ribosyltransferase Toxins, Dandan Zheng, Siyu Zhou, Lihong Chen, Guansong Pang, Jian Yang

Research Collection School Of Computing and Information Systems

Motivation: ADP-ribosylation is a critical modification involved in regulating diverse cellular processes, including chromatin structure regulation, RNA transcription, and cell death. Bacterial ADP-ribosyltransferase toxins (bARTTs) serve as potent virulence factors that orchestrate the manipulation of host cell functions to facilitate bacterial pathogenesis. Despite their pivotal role, the bioinformatic identification of novel bARTTs poses a formidable challenge due to limited verified data and the inherent sequence diversity among bARTT members. Results: We proposed a deep learning-based model, ARTNet, specifically engineered to predict bARTTs from bacterial genomes. Initially, we introduced an effective data augmentation method to address the issue of data scarcity …

Broadening The View: Demonstration-Augmented Prompt Learning For Conversational Recommendation, Quang Huy Dao, Yang Deng, Dung D. Le, Lizi Liao

Research Collection School Of Computing and Information Systems

Conversational Recommender Systems (CRSs) leverage natural language dialogues to provide tailored recommendations. Traditional methods in this field primarily focus on extracting user preferences from isolated dialogues. It often yields responses with a limited perspective, confined to the scope of individual conversations. Recognizing the potential in collective dialogue examples, our research proposes an expanded approach for CRS models, utilizing selective analogues from dialogue histories and responses to enrich both generation and recommendation processes. This introduces significant research challenges, including: (1) How to secure high-quality collections of recommendation dialogue exemplars? (2) How to effectively leverage these exemplars to enhance CRS models?To tackle …

Large Language Model Powered Agents For Information Retrieval, An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

The vital goal of information retrieval today extends beyond merely connecting users with relevant information they search for. It also aims to enrich the diversity, personalization, and interactivity of that connection, ensuring the information retrieval process is as seamless, beneficial, and supportive as possible in the global digital era. Current information retrieval systems often encounter challenges like a constrained understanding of queries, static and inflexible responses, limited personalization, and restricted interactivity. With the advent of large language models (LLMs), there's a transformative paradigm shift as we integrate LLM-powered agents into these systems. These agents bring forth crucial human capabilities like …

Towards Human-Centered Proactive Conversational Agents, Yang Deng, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Recent research on proactive conversational agents (PCAs) mainly focuses on improving the system's capabilities in anticipating and planning action sequences to accomplish tasks and achieve goals before users articulate their requests. This perspectives paper highlights the importance of moving towards building human-centered PCAs that emphasize human needs and expectations, and that considers ethical and social implications of these agents, rather than solely focusing on technological capabilities. The distinction between a proactive and a reactive system lies in the proactive system's initiative-taking nature. Without thoughtful design, proactive systems risk being perceived as intrusive by human users. We address the issue by …

Performance Analysis Of Llama 2 Among Other Llms, Donghao Huang, Zhenda Hu, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Llama 2, an open-source large language model developed by Meta, offers a versatile and high-performance solution for natural language processing, boasting a broad scale, competitive dialogue capabilities, and open accessibility for research and development, thus driving innovation in AI applications. Despite these advancements, there remains a limited understanding of the underlying principles and performance of Llama 2 compared with other LLMs. To address this gap, this paper presents a comprehensive evaluation of Llama 2, focusing on its application in in-context learning — an AI design pattern that harnesses pre-trained LLMs for processing confidential and sensitive data. Through a rigorous comparative …

Generative Ai For Pull Request Descriptions: Adoption, Impact, And Developer Interventions, Tao Xiao, Hideaki Hata, Christoph Treude, Kenichi Matsumoto

Research Collection School Of Computing and Information Systems

GitHub's Copilot for Pull Requests (PRs) is a promising service aiming to automate various developer tasks related to PRs, such as generating summaries of changes or providing complete walkthroughs with links to the relevant code. As this innovative technology gains traction in the Open Source Software (OSS) community, it is crucial to examine its early adoption and its impact on the development process. Additionally, it offers a unique opportunity to observe how developers respond when they disagree with the generated content. In our study, we employ a mixed-methods approach, blending quantitative analysis with qualitative insights, to examine 18,256 PRs in …

Application Of An Improved Harmony Search Algorithm On Electric Vehicle Routing Problems, Vanny Minanda, Yun-Chia Liang, Angela H. L. Chen, Aldy Gunawan

Research Collection School Of Computing and Information Systems

Electric vehicles (EVs) have gained considerable popularity, driven in part by an increased concern for the impact of automobile emissions on climate change. Electric vehicles (EVs) cover more than just conventional cars and trucks. They also include electric motorcycles, such as those produced by Gogoro, which serve as the primary mode of transportation for food and package delivery services in Taiwan. Consequently, the Electric Vehicle Routing Problem (EVRP) has emerged as an important variation of the Capacitated Vehicle Routing Problem (CVRP). In addition to the CVRP’s constraints, the EVRP requires vehicles to visit a charging station before the battery level …

Esem: To Harden Process Synchronization For Servers, Zhanbo Wang, Jiaxin Zhan, Xuhua Ding, Fengwei Zhang, Ning Hu

Research Collection School Of Computing and Information Systems

Process synchronization primitives lubricate server computing involving a group of processes as they ensure those processes to properly coordinate their executions for a common purpose such as provisioning a web service. A malfunctioned synchronization due to attacks causes friction among processes and leads to unexpected, and often hard-to-detect, application transaction errors. Unfortunately, synchronization primitives are not naturally protected by existing hardware-assisted isolation techniques e.g., SGX, because their process-oriented isolation conflicts with the primitive's demand for cross-process operations.This paper introduces the Enclave-Semaphore service (ESem) which shelters application semaphores and their operations against kernel-privileged attacks. ESem encapsulates all semaphores in the platform …

Fedstem-Adl: A Federated Spatial-Temporal Episodic Memory Model For Adl Prediction, Doudou Wu, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Learning of Activities of Daily Living (ADLs) provides insights into an individual’s habits, lifestyle, and well-being. However, it is crucial to address data privacy concerns in practical situations when learning the ADL routines of individuals. In this paper, we introduce FedSTEM-ADL, a federated spatial-temporal episodic memory model to address this privacy issue. FedSTEM-ADL utilizes a federation of Spatial-Temporal Episodic Memory for ADLs (STEM-ADL) for federated learning, wherein multiple local STEM-ADL models from individual users are combined into a global model while preserving the privacy of the original data. Specifically, each local model is designed to learn the spatio-temporal ADL routines …

Adaptive Stabilization Based On Machine Learning For Column Generation, Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Eberhard Andrew, Guangquan Zhang

Research Collection School Of Computing and Information Systems

Column generation (CG) is a well-established method for solving large-scale linear programs. It involves iteratively optimizing a subproblem containing a subset of columns and using its dual solution to generate new columns with negative reduced costs. This process continues until the dual values converge to the optimal dual solution to the original problem. A natural phenomenon in CG is the heavy oscillation of the dual values during iterations, which can lead to a substantial slowdown in the convergence rate. Stabilization techniques are devised to accelerate the convergence of dual values by using information beyond the state of the current subproblem. …

On The Sustainability Of Deep Learning Projects: Maintainers' Perspective, Junxiao Han, Jiakun Liu, David Lo, Chen Zhi, Yishan Chen, Shuiguang Deng

Research Collection School Of Computing and Information Systems

Deep learning (DL) techniques have grown in leaps and bounds in both academia and industry over the past few years. Despite the growth of DL projects, there has been little study on how DL projects evolve, whether maintainers in this domain encounter a dramatic increase in workload and whether or not existing maintainers can guarantee the sustained development of projects. To address this gap, we perform an empirical study to investigate the sustainability of DL projects, understand maintainers' workloads and workloads growth in DL projects, and compare them with traditional open-source software (OSS) projects. In this regard, we first investigate …

Privacy-Preserving Arbitrary Geometric Range Query In Mobile Internet Of Vehicles, Yinbin Miao, Lin Song, Xinghua Li, Hongwei Li, Kim-Kwang Raymond Choo, Robert H. Deng

Research Collection School Of Computing and Information Systems

The mobile Internet of Vehicles (IoVs) has great potential for intelligent transportation, and creates spatial data query demands to realize the value of data. Outsourcing spatial data to a cloud server eliminates the need for local computation and storage, but it leads to data security and privacy threats caused by untrusted third-parties. Existing privacy-preserving spatial range query solutions based on Homomorphic Encryption (HE) have been developed to increase security. However, in the single server model, the private key is held by the query user, which incurs high computation and communication burdens on query users due to multiple rounds of interactions. …

Form Pressure Exerted By Concrete For A Large-Scale Structure: Its Quantification And Physicochemical Interpretation, Tae Yong Shin, Seongho Han, Jin Hyun Lee, Jae Hong Kim

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Securing safety in formwork is one of the most important tasks to be carried out in the initial stage of construction. The form pressure exerted by fresh concrete needs to be identified, and it should be retained by a formwork system. A design pressure is given in literature and standards, but for large structures its precise prediction is required through a detailed analysis or a mock-up test. This study reports the lateral form pressure distribution generated by fresh concrete through a series of mock-up tests. The tests are designed considering the placement for nuclear containment structures; 3.4 m tall and …

New Method To Calculate Friction Velocity In Smooth Channel Flows Using Direct Numerical Simulation Data, Harshit Mishra, S. Karan Venayagamoorthy

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

In this paper, we leverage the direct numerical simulation (DNS) data for closed-channel flow for a range of friction Reynolds number (Reτ∼180-5,000) to develop a new one-point friction velocity method (OPFVM) to calculate friction velocity U∗ in terms of free-surface velocity Um, flow depth h, and kinematic viscosity ν. In contrast to prevalent methods that require several cumbersome near boundary measurements to obtain friction velocity, the OPFVM relies on a single easy-to-measure free-surface velocity measurement. The formulation is used to obtain friction velocity for a closed-channel flow (CCF) DNS regime with Reτ=10,049 and on four open-channel flow (OCF) DNS regimes …

Роль Микро- И Макроструктуры Словаря Терминов В Решении Задач Синтеза Русского Глагола, Irina V. Ivliyeva

Arts, Languages and Philosophy Faculty Research & Creative Works

Russian Abstract:

цель статьи – представить новые подходы к построению терминологического словаря. Рассматривается идея создания наиболее полного справочника по синтезу русского глагола, в структуру которого интегрирована обучающая база. Через микро- и макроструктуру словаря пользователь полу-чает необходимые инструменты для решения актуальных задач синтеза. Раз-работанные алгоритмы представляют собой этапы решения поставленной за-дачи: от микроструктуры словаря к приложениям и блокам глагольных форм в макроструктуре. При этом доказано, что активные обучающие инструменты (формулы синтеза и готовые алгоритмы поиска), встроенные в структуру сло-варя, помогают решать основные задачи словообразовательного синтеза: со-здание нового значения от исходного с помощью заданных параметров; опреде-ление семантического потенциала глаголов; поиск максимально точного …

Prioritising Github Priority Labels, James Caddy, Christoph Treude

Research Collection School Of Computing and Information Systems

Communities on GitHub often use issue labels as a way of triaging issues by assigning them priority ratings based on how urgently they should be addressed. The labels used are determined by the repository contributors and notstandardisedbyGitHub.Thismakes it difficult for priority-related reasoning across repositories for both researchers and contributors. Previous work shows interest in how issues are labelled and what the consequences for those labels are. For instance, some previous work has used clustering models and natural language processing to categorise labels without a particular emphasis on priority. With this publication, we introduce a unique data set of 812 manually …