Digital Commons Network^™

Reducing Catheter-Associated Urinary Tract Infection Rates By Educating Staff On Bundle Interventions, Tirath Kaur

Master's Projects

PURPOSE: Catheter associated urinary tract infection is an undesired burden to the patients and healthcare system. This systematic review explores the published literature and determines the impact of educating nursing staff on the indication of urinary catheter, insertion of foley catheters, maintenance of urinary catheters, and periodical communication between nurses and physicians for changing foley catheters can reduce the CAUTI rates in adult patients in the acute care hospital setting. METHOD: A systemic review was conducted using CINHAL, Science Direct, PubMed, and MEDLINE within the time period of ten years from 2012 to 2022. Eight published articles are reviewed and …

The Effects Of Nursing Bedside Shift Report On Patient Safety And Satisfaction: A Systematic Review Of The Literature, Alyssa Wong

Master's Projects

Introduction: Nursing bedside shift report is a recommended strategy to promote the effective exchange of accurate patient information during the handoff process with the goal of decreasing communication errors and adverse patient events. However, adopting this handoff method into nursing practice has been challenging in the clinical setting. This systematic review aims to understand the rationale behind nursing bedside handoff by identifying the advantages and barriers to implementation and exploring how this affects patient safety and experience.
Methods: A systematic review was conducted by searching through electronic databases and Google Scholar to identify English-language peer-reviewed journal articles published between 2012 …

Sending And Receiving Internet Messages From Disconnected Areas, Abhishek Prakash Gaikwad

Master's Projects

Over 62% of the world is connected to the internet with more than 6.9 billion smartphone users. The omnipresence of technology in the form of the internet and smartphones have led to constant research in improving communication throughout the world. But even today, 37% (2.9 billion people) are not connected to the internet even though most of the people in such areas have smartphones. To solve this problem of access to internet services in disconnected areas, a software-only mobile-first approach has been proposed for disconnected data distribution infrastructure which can support different internet applications in limited connectivity. A prototype application …

Job Tailored Resume Content Generation, Sumedh Kale

Master's Projects

Generally candidates apply to multiple jobs with a single resume and do not tend to customize their resume to match the job description. This hampers their chances of getting a resume shortlisted for the job. The project aims to help such candidates build job tailored resumes that help them create a customized and targeted resume for a specific job or industry. The tool specifically targets candidates’ employment history, for resume content generation. We then use natural language processing

(NLP) techniques to extract and organize this data into a structured format for the dataset. We experiment with multiple variations of the …

Implicit Racial Bias: A Human Computer Interaction Study Using Eye Tracker, Wenfan Zhang

Master's Projects

Contemporary Human-Computer Interaction (HCI) research has an increasing emphasis on reducing ethnicity bias. The study presents a new method to explore and reduce biases using detailed experiments. The experimental procedure involves presenting participants with images of ethnically diverse characters across three conditions. The study's results significantly illuminate ethnicity bias in character selection dynamics. Participants exposed to targeted training interventions displayed a significant shift in preferences for characters engaged in intellectual activities. Notably, this shift was influenced by the ethnicity of the characters involved. Interestingly, the eye-tracking data unveiled distinct patterns of cognitive load, characterized by slower response times and greater …

Unlearning Hidden Bias Between Refugees : An Initial Empirical Investigation, Akshay Sunil Gurnaney

Master's Projects

The challenges that refugees in various regions encounter are common knowledge. One such challenge is a bias among refugees on ethnocentric grounds. In particular, there are various articles that have pointed out the struggles faced by Syrian refugees in countries like Europe as a result of implicit bias. In fact, the media coverage of Syrian crises and the government responses to the same shed negative light on the refugees themselves. On the contrary, the media coverage of Ukrainian crises is very different with lesser restrictions from the governments.

This research attempts to identify the extent of implicit bias between Ukrainian …

Interest-Based Recommendation System Using Gmail Topic Modelling, Pranav Ghaskadbi

Master's Projects

Emails are a fundamental part of modern communication. Much of communicative discourse in modern society occurs over email, resulting in personal collections for each mail user which are rich in latent user’s interests. Conventional recommendation systems require historical data of user activity and interactions to derive user interests. The absence of activity and interaction data poses an interesting challenge for generating relevant recommendations for users. We were motivated to investigate approaches to identify user interests in the absence of historical data to generate personalized content recommendations. There is opportunity to derive user interests from email data, which can be used …

Analyzing The Benthic Cover Of Crustose Coralline Algae Using Mask-R Cnn, Rachana Ravindra

Master's Projects

Coral reefs, supporting 25% of marine biodiversity, confront challenges from local and global impacts like overfishing, runoff, acidification, and warming. Crustose Coralline Algae (CCA), pivotal for reef structure and coral settlement, are underrepresented in research. Current methods like Coral Point Count with Excel Extensions (CPCe) have limitations, relying on image quality and being time-consuming. This paper proposes computer vision and Mask R-CNN, a supervised machine learning model, for CCA analysis in reef images, considering color, texture, and shape. Results indicate promise in clustering and classifying organisms. The innovative technology reduces manual labor, enhancing image analysis, simplifying the understanding of CCA’s …

Pygrapherconnect, Shubham Jain

Master's Projects

The evolving landscape of backend computational systems especially in biomedical research involving heavy data operations which have a gap of not being used properly. It is due to the lack of communication standard between the frontend and backend. This gap presents a problem to researchers who need to use the frontend for visualizing and manipulating their data but also want to do complex analysis. CAPRI a python-based backend system specializing in analyzing Evidential Reasoning data also has the same issue. This project offers a solution PyGrapherConnect module acting as a data conversion layer between CAPRI and PyGrapher, its frontend interface. …

Nuancenet: Comparative Analysis Of Ai In Complex Language Interpretation For Disaster Detection, Pavan Koushik Kommuri

Master's Projects

Disaster Detection using Twitter content is critical for emergency response, but accurately identifying relevant tweets remains challenging due to nuances, informal language, and emotional expressions. This paper presents a comparative analysis between traditional Machine Learning models, Deep Learning models and Large Language Models (LLM) for classifying disaster vs. non-disaster tweets. While existing works have applied pattern recognition and dataset-specific learning, LLMs with their deeper understanding of linguistics and semantics can potentially handle the complexities of tweets more effectively. This study leverages LLMs including Llama2, Mistral, and Falcon, Open AI GPT 3.5, hypothesizing their superior contextual comprehension will excel in tweets …

Mild Cognitive Impairment And Alzheimer’S Disease Detection And Testing Interface (Mci-Addti) Modeller10.4 Integrating Structure-Function Prediction Modules, Grant Galileo Jacobson

Master's Projects

In the population of adult human patients who over express Beta and Tau Amyloids, it is unclear why 40% of them do not have Alzheimer’s Disease (AD), when all patients with AD have an overexpression of Beta and Tau Amyloids. The MCI-AD-DTI project’s epigenetic pipeline is an evolving computation tool that seeks epigenetic-related information related to the observed disparity. The MCI-AD-DTI’s epigenetic pipeline’s ability to identify mutations currently relies solely on PyPDB for verification of its protein functionality evaluation. The assessment process of the industry standard application, Modeller10.4, is independent from the current epigenetic pipeline’s protein evaluation algorithm. Thus, this …

Serverless Architecture For Machine Learning, Ikshaku Goswami

Master's Projects

Serverless computing is an area under cloud computing which does not require individual management of cloud infrastructure and services. It is the groundwork behind Function as a Service or FaaS cloud computing technique. FaaS provides a stateless event-driven orchestration of functions and services for applications deployed in the cloud, without having to manage the servers and other infrastructure resources. This event driven architecture is being well utilized to manage different web-applications and services. Machine learning can bring a unique challenge to serverless computing, as it involves high-intensive tasks which requires voluminous data. In such a scenario it becomes essential to …

On Measuring The Degree Of Resource Isolation In Elastic Network Slicing, Nitin Datta Movva

Master's Projects

With the growing popularity of 5G networks and their vast use cases, users must be provided with the services they request. Network slicing is a technique for establishing numerous distinct logical and virtualized networks over a shared multi-domain infrastructure. In particular, the emerging elastic slicing, which allows users to scale up or down the reserved amount of resources during the slice life cycle, is a promising technique to accommodate diverse network services more affordably. However, users may sometimes need more resources, which is impossible to provide due to the abundance of users and lack of additional resources. To our knowledge, …

“It Feels Like A Cultural Shift": Parent School Selection And Experiences With School Choice At Title I Schools, Christina Lee Ballantyne

Dissertations

A neoliberal agenda to institute educational reform via school choice has created a school marketplace where parents and schools are connected in a supply-and-demand relationship. Rather than attend the neighborhood school, some parents can seek alternative school options for their children. Although purported to improve educational outcomes and desegregate schools, school choice has not demonstrated increased student academic achievement nor integrated school spaces. Instead, the school choice movement has been seen to contribute to and perpetuate racial and economic segregation. This study sought to understand the perspectives of parents who have selected their neighborhood Title I school and how they …

“The Issue Is Already There; Just Have The Conversation!”: Culturally Sustaining Reflection In The Student Teaching Triad, Hanna M. Asrat

Dissertations

There is a vast demographic mismatch between California’s public school teachers (who are majority White, mono-lingual English-speaking women) and California’s public school students. Though universities responsible for educating preservice teachers often include coursework that attempts to help address this demographic mismatch, such as instruction about Culturally Sustaining Pedagogy, if preservice teachers do not get the chance to practice this pedagogy in their fieldwork placement, they tend to fall into to the two-worlds problem. The two-worlds problem posits that preservice teachers view constructivist and Culturally Sustaining Pedagogies learned at the university as theoretical and incompatible with actual teaching, and so they …

How Can I Help You Today? How First-Generation Latinx/A/O Community College Students Perceive Counseling, Isaac Escoto

Dissertations

Latinx/a/o students make up almost half of the California Community College system’s population. However, Latinx/a/o students account for about 15% of three-year completion rates (certificate, degree, or transfer). In support of student success strategies, the literature describes the role of counselors and how they help students navigate the complexities of higher education. This mixed-methods study investigated how community college counseling practices and services are perceived by Latinx/a/o students; and which of those practices and services best supported the success of this student population. Key findings included the importance of counseling services, as well as preferred counseling appointment logistics and topics …

The Effect Of Covid-19 On The Decision-Making Processes Of Local School Governing Boards With Regard To Considering And Enacting State And Federal Policies, J Jesus Contreras

Dissertations

The purpose of this study was to examine and analyze the decision-making and policy development of local governing boards acting in response to the challenges of the COVID-19 pandemic. Quantitative and qualitative data was gathered through open-ended items in a mixed-methods survey and through a focus group interview. This research sought to gather governing board members' perceptions about the effects that the COVID-19 crisis had on their decision-making processes with regard to enacting state, federal, and COVID-19 Relief Funds policies. The findings in the study indicate that governing board members’ understandings of state and federal policy were not nuanced enough …

Voice Of The Inaudible: Well-Being Of Chinese American Young Adults, Chinese American Parents’ Parenting Competency, And The Correlation Of The Two, Diana Huang

Dissertations

Violence against Asian Americans since the beginning of the COVID-19 pandemic has become a national crisis in the United States. Racism against Asian Americans in the country, however, has been deep-rooted since the nineteenth century. Chinese American adolescents, who are susceptible to identity crisis as young adults and confront racial discrimination as a minority race, face distressing challenges. It is critical to inquire into their lived narratives and hear their voices. The author investigated the early life experiences of nine Chinese Americans and identified how racial identity is shaped at a young age with negative external inputs, as well as …

When She Speaks: A Black Feminist Autoethnography Exploring Joy And Positionality In Higher Education, Leslye M. Tinson

Dissertations

This dissertation examines the intersections of race, class, and gender of a Black woman as an educational leader and doctoral student. Through autoethnography, I explore self-meaning in cultural contexts and focus on how my positionality contributes to my attempts to find joy in academe. Chapter I discusses the gender and racial gaps in the American professoriate and introduces three research questions. Chapter II interprets extant literature and identifies a conceptual framework that utilizes Black feminist thought, critical race feminism, intersectionality theory, and multicultural feminist perspectives to analyze my lived experiences. Chapter III outlines the research methodology of autoethnography to address …

Influencers Of The Institution: Millennial Women Of Color On Leadership As Classified Professionals In California Community Colleges, Marisol Quevedo

Dissertations

This study centers Millennial Women of Color (MWOC) California Community College Professionals as institutional influencers by understanding how their leadership practices support the success of marginalized, minoritized, and historically underrepresented students and equity-advancing institutional change. In this study I use the term “influencer” to reflect the impact that MWOC, working as classified professionals at a CCC who are committed to serving as leaders beyond their job duties have on their students and within their institutions. The use of “influencer” in this study addresses three different areas that summarize the study’s findings. First, the theme “Key-Makers not Gatekeepers'' addresses the ways …

Vehicle-Based Disconnected Data Distribution, Aditya Singhania

Master's Projects

The world today is highly connected and there is an immense dependency on this connectivity to accomplish basic everyday tasks. However much of the world lacks connectivity. Even in well-connected locations, natural disasters can cause infrastructure disruption. To combat these situations, Delay Tolerant Networks

(DTNs) employ to store and forward techniques along with intermittently connected transports to provide data connectivity. DTNs focus on intermittently connected networks however what if the regions are never connected? For example, Region A - is never connected to the internet, and Region B – has internet connectivity. Using a vehicle that travels between the two …

A Novel Efficient Deep Learning Framework For Facial Inpainting - Face Reconstruction From Masked Images, Akshay Ravi

Master's Projects

The use of face masks due to the covid-19 pandemic has made surveillance of people very difficult. Since a mask covers most of the facial components, security cameras are rendered of little to no use in the identification of criminals. In order to realize what a face looks like behind a mask, we have to construct the facial features in the masked region. On a higher level, this falls under the field of image inpainting, i.e. filling missing regions of images or correcting irregularities in images. Current research on image inpainting shows promising results on images that have missing/incorrect patches …

Twitter Bot Detection Using Nlp And Graph Classification, Warada Jayant Kulkarni

Master's Projects

Social media platforms are one of the primary resources for information as it is easily accessible, low in cost, and provides a high rate of information spread. Online social media (OSM) have become the main source of news information around the world, but because of the distributed nature of the web, it has increased the risk of fake news spread. Fake news is misleading information that is published as real news. Therefore, identifying fake news and flagging them as such, as well as detecting sources that generate them is an ongoing task for researchers and OSM companies. Bots are artificial …

Intersections Of Disproportion: A Critical Quantitative Examination Of Dis/Ability And Gender In Black Students’ School Discipline Outcomes, Ceema Samimi, Noah Jefferson, Shelby Flanagan, Yolanda Anyon

Faculty Research, Scholarly, and Creative Activity

This study uses critical race quantitative intersectionality to examine the impacts of gender and dis/ability type on Black students’ school discipline outcomes. We use multilevel logistic regression models to analyze data from a large urban school district, considering the intersectional impact of gender and dis/ability type on school discipline outcomes among Black students (suspension, restorative justice, referral to law enforcement). We found that Black students identified as male, labeled with emotional dis/abilities, or identified as having ADHD were more likely to experience school discipline consequences than those who were not. These findings suggest that gender and dis/ability status are significant …

“This Is Fine”: The Impact Of Blowouts On Subsequent Game Performance In The National Hockey League (Nhl), Ravi Chachad, Sean Pradhan, Arman P. Medina

Faculty Research, Scholarly, and Creative Activity

Blowouts in sports involve large margins of victory or loss between teams and have long been perceived as influencing subsequent performances by athletes, coaches, fans, and other stakeholders. Under the backdrop of the hot hand ph enomenon, the current study explores the impact of blowouts on subsequent game performance in the National Hockey League (NHL). Specifically, we examine the potential carryover of a “hot (or cold) hand” on the subsequent game following a large win or loss. In our study, we defined blowouts as outlying goal differentials for regular season games (i.e., a difference of approximately 6 goals between teams …

Biblometric Studies Of Nla Papers From 2019-2021, Suwaiba Hussaini, Prof. Yahya Ibrahim Harande

Library Philosophy and Practice (e-journal)

Abstract

The study intends to presents a Bibliometric analysis of articles presented at the Nigerian Library Association’s (NLA’s) National Conferences/ AGMs, 2019-2021, it will find out the distribution of articles that were presented in NLA’s conferences from 2019_2021, the degree of collaboration among the authors, and collaborative index of articles presented at NLA’s National conferences from the year 2019_2021. Data were collected from the NLA’s journals. To achieve the purpose of the study, three objectives guided the study .The study adopted descriptive survey design. The data were analyzed using frequency table and simple percentage. The findings of the study reveal …

Sleep Health Education To Promote Public Health: Attitudes And Desired Learning Goals Among Social Work Students, Christine Spadola, Danielle B. Groton, Kerry Littlewood, Cassie Hilditch, Shanna Burke, Suzanne M. Bertisch

Faculty Research, Scholarly, and Creative Activity

Social workers are often front line behavioral health providers for underserved populations, many of whom experience sleep disturbances. Inadequate sleep presents a public health challenge and is associated with many adverse physical health and mental health consequences. Social workers are uniquely positioned to promote sleep health among individuals experiencing health inequities. However, sleep is rarely included as part of the curricula in social work programs in the U.S. We conducted qualitative formative research to investigate social work students’ perceptions of sleep education and desired sleep learning objectives. Twenty-five social work students were recruited via a listserv e-mail to participate in …

The (Black) Struggle That Must Be: Black Masculinity, Black College Athletes, And Black Mental Health Through A Looking Glass, A. Lamont Williams

Faculty Research, Scholarly, and Creative Activity

In this article, the author describes their mental health struggles tied to Black Masculinity as a (former) Black athlete. In particular, the author focuses on the stigma surrounding mental health in the Black community and the ways in which Blackness, Black masculinity, and mental health battles emulate the (Black) struggle that must be. The author attempts to highlight the complicated nature of mental health struggles, specifically the ways in which suicide is handled in the world of sport and the ways in which the narrative can have juxtaposed racial frameworks. The author moves into and through their own personal experiences …

Just Go To The Office! An Intersectional Exploration Of The Role Of Race And Gender In Discipline Referral Reasons, Kamilah B. Legette, Yoli Anyon

Faculty Research, Scholarly, and Creative Activity

Educators’ differential selection of Black and Latine students for office discipline referrals is a significant driver of inequity in exclusionary outcomes. Using demographic data and discipline records for all students in one large urban school district, we use descriptive statistics and multilevel regression models to consider whether referral reasons are racialized and if these patterns intersect with gender. Our analyses indicate that educators are consistently more likely to refer Black students than White students to the office for several subjective reasons, including habitual disruption, that are purportedly race-neutral but privilege Whiteness. They are less likely to make referrals for Black …

Misinformation Containment Using Nlp And Machine Learning: Why The Problem Is Still Unsolved, Vishnu S. Pendyala

Faculty Research, Scholarly, and Creative Activity

Despite the increased attention and substantial research into it claiming outstanding successes, the problem of misinformation containment has only been growing in the recent years with not many signs of respite. Misinformation is rapidly changing its latent characteristics and spreading vigorously in a multi-modal fashion, sometimes in a more damaging manner than viruses and other malicious programs on the internet. This chapter examines the existing research in natural language processing and machine learning to stop the spread of misinformation, analyzes why the research has not been practical enough to be incorporated into social media platforms, and provides future research directions. …