Digital Commons Network^™

“Implacement”: The Importance Of Place And Community In Schooling, Emily Coady

Graduate Theses and Dissertations

This dissertation consists of three chapters exploring my overarching research question: How does sense of place shape a teacher’s orientation to their profession? My first chapter empirically answers the question: Is there a relationship between place attachment and measured aspects of teacher quality? In an attempt to qualify the strength of bond between a teacher and his or her community, I adapted a place attachment instrument developed by Raymond, Brown, and Weber (2010). Each teacher is given a place attachment score informed by their responses on the 21-item survey. Next, I correlated these scores to other aspects of teacher quality …

Imagining Communicative Success: How Imagined Interactions Affect Conflict Management In Romantic Relationships, Melinda Shaw

Graduate Theses and Dissertations

Currently, there are no bodies of research that examine the relationship between imagined interactions, relational maintenance, conflict management, and gender identity. Previous research has primarily relied on quantitatively measuring the functionality of imagined interactions and generating an understanding as to why individuals use them. However, this study qualitatively examined the connection between these concepts, specifically how gender identity affects how individuals use imagined interactions to manage conflict with their partner and maintain their relationship. Fifteen participants who are currently in long-term relationships were interviewed and then required to complete the Thomas-Kilmann (1974) conflict management mode survey. Afterward, the responses were …

Investigating Molecular Mechanisms Behind Bacterial Chondronecrosis With Osteomyelitis (Bco) Pathogenesis In Modern Broilers, Alison Ramser

Graduate Theses and Dissertations

Bacterial chondronecrosis with osteomyelitis (BCO), a leading cause of lameness in broiler chickens, is characterized by infection, inflammation, and bone attrition. There are currently no effective treatments and positive diagnosis is only possible through necropsy evaluations. Lameness is also a rising animal welfare and economic concern, making prevention and detection of BCO all the more critical. These challenges are exacerbated by a lack of mechanistic understanding of BCO’s etiology. The question I asked during my dissertation was how bacteria induce bone attrition in BCO pathology. My research has shown that mitochondrial dysfunction is characteristic of BCO conditions along with autophagy …

The Role Of Ccaat Binding Factor In The Regulation Of Catalase Gene Expression In Candida Albicans, Zahra Al-Rumaih

Graduate Theses and Dissertations

Candida albicans is a fungal opportunistic human pathogen. Its infections range from surficial infections like skin rash to fatal systemic infections. Filamentation growth mode is associated with C. albicans virulence because it helps penetration of the host’s epithelial cells. The CCAAT-binding factor (CBF) is a conserved heterooligomeric transcription factor found in 30% of eukaryotes genes. In C. albicans it is composed of 4 major subunits, including Hap2, Hap3, Hap4, and Hap5. Hap2 and Hap5 are essential for DNA binding and function. Hap4 has 3 homologous subunits: Hap41 and Hap42 are putative subunits of CBP. Hap43 is the only Hap4 subunit …

Supervised Representation Learning For Improving Prediction Performance In Medical Decision Support Applications, Phawis Thammasorn

Graduate Theses and Dissertations

Machine learning approaches for prediction play an integral role in modern-day decision supports system. An integral part of the process is extracting interest variables or features to describe the input data. Then, the variables are utilized for training machine-learning algorithms to map from the variables to the target output. After the training, the model is validated with either validation or testing data before making predictions with a new dataset. Despite the straightforward workflow, the process relies heavily on good feature representation of data. Engineering suitable representation eases the subsequent actions and copes with many practical issues that potentially prevent the …

Children’S Social Judgments Of Others On The Basis Of Dialect-Specific Vocabulary, Madison Myers-Burg

Graduate Theses and Dissertations

Many studies suggest that young children prefer speakers who speak similarly to them. Children demonstrate social preferences for speakers of their own native language over speakers of a non-native language as well as for speakers of a familiar accent over speakers of an unfamiliar accent. Recent research suggests that young children will similarly show preference for speakers who use familiar dialect-specific vocabulary over speakers who use vocabulary specific to an unfamiliar dialect. The current study investigated potential motivations behind young children’s preferences for familiar dialect-specific vocabulary. Fifty participants ages fifty-one months to ninety-five months (Mage =72.6 months) viewed an animated …

Predicting The Likelihood And Scale Of Wildfires In California Using Meteorological And Vegetation Data, Matthew Walters

Graduate Theses and Dissertations

Wildfires have devastating ecological, environmental, economical, and public health impacts through the deterioration of water and air quality, CO2 emissions, property damage, and lung illnesses. The early detection and prevention of wildfires allow for the minimization of these risks. The use of Artificial Intelligence (AI) in wildfire detection and prediction has been highly researched as a tool to assist firefighters in stopping wildfires in its early stages. The three common wildfire prediction categories include image and video detection, behavior prediction, and susceptibility prediction. Data such as climate, weather, vegetation, satellite images, and historical wildfire data is most commonly used. Many …

“Young Adult Books Don’T Realize They Have That Power”: Reader Response To Ideology In Young Adult Dystopian Fiction, Zane Emīlija Sarma

Graduate Theses and Dissertations

The purpose of this research is to find out how readers interact with novels in the Young Adult dystopian genre. I will examine the ways in which readers resist the dominant patriarchal ideological discourses in the YA dystopian novel and how readers submit to this ideology. Through an interaction with the text, the reader produces oppositional, negotiated, or preferred meanings. I will argue that readers’ response to ideology in the YA dystopian novel is affected by their active participation in reader communities such as the Bookish community online.

YA dystopian fiction was highly popular in the early 2010s, but the …

Naphthalene And Anthracene Degrading Potentials Of Bacteria Isolated From Soil Samples With Evidence Of Polycyclic Aromatic Hydrocarbon(Pah) Contamination, Olatunde Clement Akinola

Theses (2016-Present)

Polycyclic Aromatic Hydrocarbon (PAH) from crude oil and other sources is one of the most serious environmental problems. PAH has an adverse effect on human health, water bodies and agricultural products. Removal of PAH through the physical and chemical methods are expensive and not environmentally friendly. Bioremediation, which is the use of microorganisms to degrade environmental pollutants like naphthalene and anthracene and render them less toxic, provides a cheaper and safer method. The objective of this research is to study the naphthalene and anthracene degrading potentials of bacteria isolated from soil samples with evidence of cude oil contamination. Another objective …

An Assessment Of The Transit System Connecting Low-Income Households To The International Airport: A Case Study Of Southwest Alief, Texas, Abayomi Mololuwa Bakare

Theses (2016-Present)

Public transportation is part of the economic and social fabric of metropolitan areas, especially to low-income individuals who are often totally dependent on these services for their daily activities. In Houston Texas, this is made possible through the region's system of highway transit centers and other transportation options such as MetroBus and MetroRail. The role that transits plays in the connection between residential locations and employment opportunities is crucial in creating and implementing programs that will improve and maintain transit and ownership options available to vulnerable segments of Metropolitan residents. This study proposes the use of qualitative research methodology to …

Analyzing Breastfeeding On Social Media, Kerri Barnes

Theses (2016-Present)

The study uses the feminist theory to discourse issues surrounding breastfeeding as articulated on Twitter. The research employed a mixed methodology approach in executing its goal. The study will begin by examining and presenting findings on a Twitter hashtag, #breastfeeding, a popular hashtag that mothers and experts use to articulate breastfeeding issues. The extensive examination of breastfeeding beyond its linguistic form was undertaken in this study based on the feminist guidelines considering bodies that protect mothers' welfare were integrated into the study. The study findings from the tweets analyzed, N= 2,818, indicate and confirm that breastfeeding is the mode of …

Identifying Genetic Differences Among African American And Caucasian Triple Negative Breast Cancer Genotypes, Christopher Jordan Dixon

Theses (2016-Present)

Triple negative breast cancers (TNBC) are closely related to basal-like cancers and classified based on their molecular signatures and their progenitor cell type. TNBCs lack the presence of three common types of receptors known to fuel breast cancer growth: estrogen receptors (ER), progesterone receptors (PR), and human epidermal growth factor receptors 2 (HER2neu). TNBC represent 10-20% of all molecular breast cancer subtypes. Even though genomic and transcriptome analyses show that many of the molecular signatures associated with TNBC are not related to ethnicity, clinicians and researchers find that African American (AA) TNBC women have higher mortality rates compared to Caucasian …

Characterization Of The Cell Cycle Dependent Kinase Inhibitor P27kip1 In The Stem-Like Properties Of Breast Cancer Stem Cells, Jaz-Mine Mccovins

Theses (2016-Present)

Breast cancer is the second leading cause of cancer death among American women. Traditional therapies, such as chemotherapy and radiation therapy, target proliferative cells within the tumor bulk. However, these treatments do not provide long-term disease survival because they fail to eliminate a small population of long-lived tumor initiating cells known as breast cancer stem cells (CSCs). Two features of CSCs are that they slowly divide and are more resistant to conventional anti-cancer treatments due to altered cellular machinery. It is the breast CSC subpopulation that develops new tumors which have the potential to lead to recurrence. However, the mechanism …

Analysis Of Polychlorinated Biphenyls In Electric Transformer Oil Using Gas Chromatography With Electron Capture Detector., Vivek Mann

Theses (2016-Present)

Polychlorinated biphenyls (PCB’s) are a group of synthetic chemicals which are environmentally insistent that were once used as coolants and lubricants in paints, heat transfer fluids, transformers, capacitors, caulking materials and other electrical materials owning to their property of good insulators. PCBs are persistent organic pollutants since they are persistent, resistant to biodegradation, bioaccumulate and have shown to cause a variety of deleterious effects on human health and the environment. Due to this the manufacturing of PCBs was banned in the United States in 1977. Although, production of PCBs has reportedly stopped, the potential or actual release of PCBs into …

Multi Elemental Analysis Of Cannabis Oil Based Products Using Icpms And Microwave Assisted Digestion., Kevin Trevon Marchbanks-Owens

Theses (2016-Present)

Due to the presence of CBD-(cannabidiol), bioavailable elements as well as industry versatility and relatively low levels of toxicity to the environment. CBD oils have driven the overall demand for Cannabis based plant products in the commercial and medical sector. However, dependent upon the environmental circumstances upon which these plants are grown can leave them susceptible to toxic heavy metal exposure. In fact, the natural metabolism of Cannabis plants makes them a hyperaccumulator of trace metals. This creates a severe health risk for CBD product consumers especially for more vulnerable populations with pre-existing conditions. Furthermore, the risk of heavy metal …

Experimental Validation Of Gene Expression Of Mybl1, Mybl2, Ubxn8, And Adrm1 Genes In Triple Negative Breast Cancer Cell Lines, Esther Jensinne Nsende

Theses (2016-Present)

A previous study conducted in our laboratory demonstrated V-Myb Avian Myeloblast Viral Oncogene Homolog Like 1 (MYBL1) gene over-expression in triple negative breast cancer (TNBC) compared to normal, some luminal, and a subpopulation of other TNBC. The MYBL1 gene belongs to the Avian myeloblastosis virus (MYB) family and is classified as proto-oncogene that functions as a strong transcription factor. The MYBL1 gene is related to cancer progression which involves dysregulation of cell cycle signaling, apoptosis and differentiation processes. A primary goal of our laboratory is to further characterize MYBL1 gene expression in TNBC samples. To achieve this goal, we performed …

Adaptive Task Planning For Large-Scale Robotized Warehouses, Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li

Research Collection School Of Computing and Information Systems

Robotized warehouses are deployed to automatically distribute millions of items brought by the massive logistic orders from e-commerce. A key to automated item distribution is to plan paths for robots, also known as task planning, where each task is to deliver racks with items to pickers for processing and then return the rack back. Prior solutions are unfit for large-scale robotized warehouses due to the inflexibility to time-varying item arrivals and the low efficiency for high throughput. In this paper, we propose a new task planning problem called TPRW, which aims to minimize the end-to-end makespan that incorporates the entire …

Learning Semantically Rich Network-Based Multi-Modal Mobile User Interface Embeddings, Meng Kiat Gary Ang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Semantically rich information from multiple modalities - text, code, images, categorical and numerical data - co-exist in the user interface (UI) design of mobile applications. Moreover, each UI design is composed of inter-linked UI entities which support different functions of an application, e.g., a UI screen comprising a UI taskbar, a menu and multiple button elements. Existing UI representation learning methods unfortunately are not designed to capture multi-modal and linkage structure between UI entities. To support effective search and recommendation applications over mobile UIs, we need UI representations that integrate latent semantics present in both multi-modal information and linkages between …

Automated Identification Of Libraries From Vulnerability Data: Can We Do Better?, Stefanus A. Haryono, Hong Jin Kang, Abhishek Sharma, Asankhaya Sharma, Andrew E. Santosa, Ming Yi Ang, David Lo

Research Collection School Of Computing and Information Systems

Software engineers depend heavily on software libraries and have to update their dependencies once vulnerabilities are found in them. Software Composition Analysis (SCA) helps developers identify vulnerable libraries used by an application. A key challenge is the identification of libraries related to a given reported vulnerability in the National Vulnerability Database (NVD), which may not explicitly indicate the affected libraries. Recently, researchers have tried to address the problem of identifying the libraries from an NVD report by treating it as an extreme multi-label learning (XML) problem, characterized by its large number of possible labels and severe data sparsity. As input, …

Does This Apply To Me? An Empirical Study Of Technical Context In Stack Overflow, Akalanka Galappaththi, Sarah Nadi, Christoph Treude

Research Collection School Of Computing and Information Systems

Stack Overflow has become an essential technical resource for developers. However, given the vast amount of knowledge available on Stack Overflow, finding the right information that is relevant for a given task is still challenging, especially when a developer is looking for a solution that applies to their specific requirements or technology stack. Clearly marking answers with their technical context, i.e., the information that characterizes the technologies and assumptions needed for this answer, is potentially one way to improve navigation. However, there is no information about how often such context is mentioned, and what kind of information it might offer. …

Cost-Effective And Collaborative Methods To Author Video's Scene Description For Blind People, Rosiana Natalie

Research Collection School Of Computing and Information Systems

The majority of online video content remains inaccessible for blind people due to the lack of audio descriptions. Content creators have traditionally relied on professionals to author audio descriptions, but their service is costly and not readily available. In this research, I introduce four threads of research that I will conduct for my Ph.D. dissertation, aimed to create methods and tools that are both time- and cost-effective in providing good quality audio descriptions. They are: (i) The development and evaluation of mixed-ability collaboration authoring tool, (ii) The formative study to uncover the feedback pattern from the reviewer, (iii) the evaluation …

Mmekg: Multi-Modal Event Knowledge Graph Towards Universal Representation Across Modalities, Yubo Ma, Zehao Wang, Mukai Li, Yixin Cao, Meiqi Chen, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao

Research Collection School Of Computing and Information Systems

Events are fundamental building blocks of realworld happenings. In this paper, we present a large-scale, multi-modal event knowledge graph named MMEKG. MMEKG unifies different modalities of knowledge via events, which complement and disambiguate each other. Specifically, MMEKG incorporates (i) over 990 thousand concept events with 644 relation types to cover most types of happenings, and (ii) over 863 million instance events connected through 934 million relations, which provide rich contextual information in texts and/or images. To collect billion-scale instance events and relations among them, we additionally develop an efficient yet effective pipeline for textual/visual knowledge extraction system. We also develop …

An Empirical Study Of Memorization In Nlp, Xiaosen Zheng, Jing Jiang

Research Collection School Of Computing and Information Systems

A recent study by Feldman (2020) proposed a long-tail theory to explain the memorization behavior of deep learning models. However, memorization has not been empirically verified in the context of NLP, a gap addressed by this work. In this paper, we use three different NLP tasks to check if the long-tail theory holds. Our experiments demonstrate that top-ranked memorized training instances are likely atypical, and removing the top-memorized training instances leads to a more serious drop in test accuracy compared with removing training instances randomly. Furthermore, we develop an attribution method to better understand why a training instance is memorized. …

Rural Revitalization In China: Towards Inclusive Geographies Of Ruralization, Ningning Chen, Lily Kong

Research Collection School of Social Sciences

This commentary welcomes Gillen et al.'s geographies of ruralization as an alternative to the urban-centered analysis of socio-spatial transformation in post-reform China. We offer three perspectives to further develop such alternative articulation by drawing on China's most recent geographical experiences of rural revitalization. The first is the ‘top-down’ process of rural revitalization launched by different levels of Chinese state agents and how this is divergent from local needs or embedded in bottom-up engagement. The second is the temporal dimension of ruralization highlighting how uses of the past are implicated in and legitimize the state agenda of rural revitalization. The third …

Airway Management And The Hypoglossal Nerve Stimulator For Obstructive Sleep Apnea Patients, Chandler Barnes

Nurse Anesthesia MSNA Student Capstones

The pathophysiology of obstructive sleep apnea (OSA) relates to anatomical and non-anatomical factors. Anatomical considerations correlate to narrowing of the pharynx. When present, non-anatomical factors can intensify the severity of OSA and ease of collapsibility of upper airway tissue. The negative consequences of untreated OSA are well-defined and many treatment options are available. The novel hypoglossal nerve stimulator makes for a viable treatment option in patients who do not tolerate more traditional therapy, such as continuous positive airway pressure (CPAP), and meets eligibility requirements of device implantation as outlined by the Food and Drug Administration (FDA). The Inspire® Hypoglossal Nerve …

Genome-Wide Association Study And Genomic Prediction For Bacterial Wilt Resistance In Common Bean (Phaseolus Vulgaris) Core Collection, Bazgha Zia, Ainong Shi, Dotun Olaoye, Haizheng Xiong, Waltram Ravelombola, Paul Gepts, Howard F. Schwartz, Mark A. Brick, Kristen Otto, Barry Ogg, Senyu Chen

Horticulture Faculty Publications and Presentations

Common bean (Phaseolus vulgaris) is one of the major legume crops cultivated worldwide. Bacterial wilt (BW) of common bean (Curtobacterium flaccumfaciens pv. flaccumfaciens), being a seed-borne disease, has been a challenge in common bean producing regions. A genome-wide association study (GWAS) was conducted to identify SNP markers associated with BW resistance in the USDA common bean core collection. A total of 168 accessions were evaluated for resistance against three different isolates of BW. Our study identified a total of 14 single nucleotide polymorphism (SNP) markers associated with the resistance to BW isolates 528, 557, and 597 …

Malignant Acute Disseminated Encephalomyelitis (Adem) Presenting As A Stroke Alert: A Case Report., Madeline J Hooper, Joshua A. Kalter Ms3, Nicholas S. Imperato, Marna R. Greenberg Do, Mph, Facep

Department of Emergency Medicine

Acute disseminated encephalomyelitis (ADEM) is a rare illness. Generally characterized by encephalopathy and non-specific, heterogeneous neurological deficits depending on the location of the demyelinated lesions, ADEM is considered a clinical diagnosis with radiological findings that may or may not have supportive features based on the temporal relationship of an inciting factor and symptom onset. Even rarer, hyperacute or malignant ADEM can be defined by rapid symptom onset followed by catastrophic brain edema and its sequelae. We present a case of a patient who presented with an acute stroke with activation of a rapid sequence care pathway (stroke alert protocol) to …

Characterizing Sensitive Cardiac Substructure Excursion Due To Respiration, Claudia R. Miller, Eric D. Morris, Ahmed I. Ghanem, Milan V. Pantelic, Eleanor M. Walker, Carri K. Glide-Hurst

Radiation Oncology Articles

PURPOSE: Whole-heart dose metrics are not as strongly linked to late cardiac morbidities as radiation doses to individual cardiac substructures. Our aim was to characterize the excursion and dosimetric variation throughout respiration of sensitive cardiac substructures for future robust safety margin design.

METHODS AND MATERIALS: Eleven patients with cancer treatments in the thorax underwent 4-phase noncontrast 4-dimensional computed tomography (4DCT) with T2-weighted magnetic resonance imaging in end-exhale. The end-exhale phase of the 4DCT was rigidly registered with the magnetic resonance imaging and refined with an assisted alignment surrounding the heart from which 13 substructures (chambers, great vessels, coronary arteries, etc) …

Nasogastric Feeding Tube/Dobhoff Placement: A Multidisciplinary Approach To The Management Of Malnutrition During Radiation Therapy In Patients With Head And Neck Cancer, Alexandra V. Coke, Marissa Gilbert, Sue Hill, Farzan Siddiqui

Radiation Oncology Articles

Background: Radiation therapy (RT)-associated oral mucositis, xerostomia, thick mucoid saliva, nausea/vomiting, and loss of taste may result in significantly compromised oral intake in patients undergoing treatment for head and neck cancers (HNC). Feeding tube placement allows patients to receive enteral nutrition and continue the planned course of treatment.

Objectives: RT-associated oral mucositis, xerostomia, and loss of taste may result in significantly compromised oral intake in patients undergoing treatment for head and neck cancers. We sought to determine if reactive nasogastric (NG) tube placement was an effective strategy for nutritional support in these patients and if invasive percutaneous endoscopic gastrostomy (PEG) …

The Impact Of Stimulus Age On Emotional Face Recognition, Morgan Goslar

Theses/Capstones/Creative Projects

Research supports the theory that stimuli, including experiences, words, and faces, with an emotional connotation are more easily remembered than stimuli with a more neutral connotation. The scientific community has expanded this theory by manipulating a variety of variables, including participant age, time between encoding and retrieval, and “taboo” words in comparison to more neutral categories, to name a few. The current study seeks to expand upon the previous findings by examining emotional and neutral facial stimuli while manipulating the age of the stimulus face. To do this, participants were shown 10 photos in each of the following categories: young …