Digital Commons Network^™

Efficacy Of Utilizing A Discharge Checklist At A Northern California Hospital, Becky Le

Master's Projects

Standardization of patient discharges by utilizing a discharge checklist would address discharge barriers, improve discharge times, enhance communication among the multidisciplinary team, and improve efficiency of care. A 5-week pilot, which was a quality improvement study, explored whether the utilization of a discharge checklist would improve discharge times and communication among the multidisciplinary team. This study was conducted in a northern California county hospital, on 2 medical- surgical units, with a participating physician team, case managers, and approximately 150 medical- surgical registered nurses. The study yielded results of improved discharge times by 1 hour, and improved efficiency of care by …

The Impact Of Utilizing The Eat, Sleep, Console Model On Pharmacologic Interventions And Length Of Stay, Kareena Parks

Master's Projects

Purpose: This systematic review seeks to explore whether utilizing Eat, Sleep, Console (ESC) over the Finnegan Neonatal Abstinence Scale (FNASS) in the neonatal abstinence syndrome (NAS) population decreases length of stay or pharmacological interventions.
Method: Systematic literature review utilizing CINAHL, PubMed and Google Scholar databases.
Results: Utilizing Eat Sleep Console, over FNASS decreased length of stay and pharmacologic intervention.
Conclusions: There is compelling research suggesting a change in NAS treatment from FNASS to ESC with a decrease in length of stay and pharmacologic intervention. However, there is an opportunity for further studies providing higher levels of evidence as the current …

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 …

Efficient Video Qoe Prediction In Intelligent O-Rans, Aditya Kulkarni

Master's Projects

Open Radio Access Network (O-RAN) is a platform developed by a collaboration between wireless operators, infrastructure vendors, and service providers for deploying mobile fronthaul and midhaul networks, built entirely on cloud-native principles. The vision of O-RAN lies in the virtualization of traditional wireless infrastructure components, like Central Units (CU), Radio Units (RU), and Distributed Units (DU). O-RAN decouples the above-mentioned wireless infrastructure components into opensource elements, operating consistently with other elements of different vendors in the network. Quality of Experience (QoE) deals with a user’s subjective measure of satisfaction. RAN Intelligent Controller (RIC) in O-RAN provides flexibility to intelligently program …

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 …

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 …

Identification Of Copy Number Variations (Cnvs) Of Epigenetic Factors Related To The Progression Of Pancreatic Ductal Adenocarcinoma (Pdac), Pavithra Raju

Master's Projects

Pancreatic ductal adenocarcinoma (PDAC) is a formidable challenge in oncology due to its aggressive form and late-stage detection. PDAC is known to be influenced by various epigenetic factors like DNA methylation and histone modifications. This study focuses on copy number variations (CNVs) within epigenetic factors which for their role in early diagnosis. Thus, paving the way for identification of potential biomarkers. The epigenetic pipeline was extended based on CNVs and the CNV modified sequences extracted were compared with the wild type sequences of epigenetic PDAC genes. The epigenetic gene KCNJ11 with copy number gain of CNV id 46771406 was 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 …

Ensemble Transformer Architecture For Efficient And Real Time Sign Language Translation, Sumeet Ghegade

Master's Projects

Sign language is a form of visual language that uses face expression and hand gestures to communicate thoughts and concepts. The term refers to multiple visual languages that share some common visual cues but differ in their grammar and syntax. Sign language translation (SLT) is a crucial step in closing the communication gap between hearing and hearingimpaired people. The study of SLT using machine learning has gotten a lot of interest during the last three years but despite progress, SLT research is still in its early phases. Most of the previous approaches first convert the signs to glosses and then …

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 …

Estimating Air Pollution Levels Using Machine Learning, Srujay Rao Devaraneni

Master's Projects

Air pollution has emerged as a substantial concern, especially in developing countries worldwide. An important aspect of this issue is the presence of PM2.5. Air pollutants with a diameter of 2.5 or less micrometers are known as PM2.5. Due to their size, these particles are a serious health risk and can quickly infiltrate the lungs, leading to a variety of health problems. Due to growing concerns about air pollution, technology like automatic air quality measurement can offer beneficial assistance for both personal and business decisions. This research suggests an ensemble machine learning model that can efficiently replace the standard air …

Xai-Driven Cnn For Diabetic Retinopathy Detection, Vikas Shenoy Pete

Master's Projects

Diabetes, a chronic metabolic disorder, poses a significant health threat with potentially severe consequences, including diabetic retinopathy, a leading cause of blindness. In this project, we tackle this threat by developing a Convolutional Neural Network (CNN) to support the diagnosis based on eye images. The aim is early detection and intervention to mitigate the effects of diabetes on eye health. To enhance transparency and interpretability, we incorporate explainable AI techniques. This research not only contributes to the early diagnosis of diabetic eye disease but also advances our understanding of how deep learning models arrive at their decisions, fostering trust and …

Uncertainty-Aware And Explainable Artificial Intelligence For Identification Of Human Errors In Nuclear Power Plants, Bhavya Reddy Kotla

Master's Projects

Nuclear Power Plants (NPPs) can face challenges in maintaining standard operations due to a range of issues, including human mistakes, mechanical breakdowns, electrical problems, measurement errors, and external influences. Swift and precise detection of these issues is crucial for stabilizing the NPPs. Identifying such operational anomalies is complex due to the numerous potential scenarios. Additionally, operators need to promptly discern the nature of an incident by tracking various indicators, a process that can be mentally taxing and increase the likelihood of human errors. Inaccurate identification of problems leads to inappropriate corrective actions, adversely affecting the safety and efficiency of NPPs. …

2023 Silicon Valley Pain Index, Scott Myers-Lipton, William Armaline

Faculty Research, Scholarly, and Creative Activity

No abstract provided.

Postgraduate Students’ Use Of Electronic Resources For Research Output In Federal University Libraries In The Southeast, Nigeria: Challenges And Strategies For Interventions., Loveth Ogoegbunam Ekwueme, Augustina Chinyere Chime

Library Philosophy and Practice (e-journal)

This study is an empirical study that examined the challenges facing postgraduate students’ use of Electronic Information Resources [EIRs] for research output in federal university libraries in the southeast, Nigeria. It employed a descriptive survey design. The population of the study was registered postgraduate students in five universities libraries in 2017/2018 academic year comprising of 1,522 users. Yaro Yamane formula was used in calculating the sample size for each stratum in order to have proportional representation. A sample size of 421 postgraduate students was selected and used for the study. Instrument for data collection was questionnaire constructed on a four-point …

Never Too Young: The Existence, Impact, And Sustainability Of Ethnic Studies In Elementary School, Angela R. Guzmán

Dissertations

Ethnic Studies has existed in higher education for more than fifty years. In high school, critical education researchers have recognized Ethnic Studies as vital to improving attendance, lowering suspension rates, and boosting GPAs for BIPOC students. This has given rise to the recent K-12 Ethnic Studies model curriculum adoption by the State Board of Education, and the signing of Assembly Bill 101, making California the first state to require that all high school students complete a semester-long course in Ethnic Studies. Regrettably, Ethnic Studies continues to be mostly limited to higher education and grades 9-12 in public schools despite research …

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 …

Measuring High School Counselor Beliefs On The Importance Of Mtmdss Universal Supports Since Covid-19, Ryan J. Carter

Dissertations

The U.S. onset of the COVID-19 pandemic in 2020 brought immediate and unprecedented disruption to California secondary education. High school students in California have endured varying degrees of uncertainty, hardship, and trauma, with the full extent of impacts on students not yet known. California high school counselors, faced with the dilemma of how to support student needs effectively and equitably during COVID-19, have looked to the state as well as professional organizations for guidance on best support practices. Multi-tiered support frameworks, such as MTSS and MTMDSS have emerged as prominent pandemic response recommendations and are being implemented throughout California. The …

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 …

Factors Influencing Educational Equity In Online Instruction For Students During Covid-19, Sudha Krishnan

Faculty Research, Scholarly, and Creative Activity

This qualitative study examined special education teachers’ perceptions of student success in online instruction during the pandemic school closures to isolate the key determinants in the differential student outcomes reported by the teachers. Data were collected from 16 teachers using semi-structured interviews and analyzed using thematic coding. The six themes that emerged from the data were that the key determinants of student outcomes were variables related to teacher, school administrator, district, student, parent, and pedagogy. The study showed that underlying deficit thinking in school professionals, lack of planned support for those parents and students needing the most support, and limited …

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 …

Never Lose Your Ecg: A Novel Key Generation And Authentication Scheme For Implantable Medical Devices, Nima Karimian, Gokay Saldamli, Younghee Park, Victor Lui

Faculty Research, Scholarly, and Creative Activity

Implantable medical devices, such as pacemakers, cardiac defibrillators, and insulin pumps, play a crucial role in monitoring patients' vital signs within healthcare systems. However, these networked devices are susceptible to external attacks and breaches of trust, hindering the potential innovation and social benefits of eHealth services. To address these concerns, we propose a novel ECG-based key generation scheme and blockchain-based authentication protocol to build a trustworthy healthcare service under any situation. The key will be extracted in a single heartbeat using fiducial features. Compared with the existing works, the proposed key generation achieves the most efficient and secure method by …

Predicting Lower Millennial Turnover Intentions: Examining Work Benefits Factors And Organizational Environment Factors As Sets, Lyric W. Fortson

Master's Theses

Millennials make up the majority of the working population now, however organizations are struggling to retain them, as they tend to turnover in their job roles after an average of just a few years. The purpose of this study was to examine what workplace variables could predict lower turnover intentions in Millennials. This study examined a set of two work benefits factors, satisfaction with salary and satisfaction with career advancement, and a set of three organizational environment factors, satisfaction with feedback, satisfaction with supervisor, and satisfaction with work-life balance, as predictors of lower turnover intentions in Millennials. A survey was …

Where And Why Do Ecosystem-Based Adaption Projects Take Place In California?, Daniel K. Jacobson

Master's Theses

California is experiencing the harmful impacts of climate change and will continue to do so for generations. As a result, municipalities have been forced to turn to adaptation solutions to help local residents adjust to inevitable impacts such as sea level rise, extreme heat, and extreme weather. Ecosystem-based adaptation (EbA), the use of nature and ecosystem services to help human systems adapt to climate change impacts, is an increasingly popular, cost-effective, and multi-benefit adaptation strategy. While prior research has shown that other forms of adaptation, often referred to as ‘hard’ and ‘soft’ strategies, disproportionately benefit whiter and wealthier populations, there …

Beyond Social Emotional Learning: Toward A Humanizing And Transformative Teacher Sel, Ash Ray Busby

Dissertations

The purpose of this study was to bring to life the experiences of how the development of a Social, Emotional and Cultural lens prepares teachers to meet their own social and emotional needs in the classroom and consequently be better prepared to meet their students’ social and emotional needs in ways that are culturally sustaining. This qualitative research study explored these phenomena through a series of three in-depth interviews and a classroom observation with four in-service teachers in a Northern California school district that prioritizes social emotional learning (SEL) for students and teachers. The insights from this research may inform …

Eye Movements Behaviors In A Driving Simulator During Simple And Complex Distractions, Pradeep Narayana

Master's Projects

Road accidents occur frequently due to driving distractions all around the world. A driving simulator has been created to explore the cognitive effects of distractions while driving in order to address this problem. The purpose of this study is to discover the distraction-causing elements and how they affect driving performance. The simulator offers a secure and regulated setting for carrying out tests while being distracted by different visual distractions, such as solving mathematical equations and number memorizations.

Several trials have been conducted in the studies, which were carried out under varied circumstances like varying driving sceneries and by displaying different …

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 …

Differential Gene Expression Analysis Of Rodent Mammary Tissue Reveals Dysregulation Of Greb1 And An Age-Dependent Response To Spaceflight, Cleoma Arnold

Master's Projects

Life aboard spacecraft poses a danger to astronaut health, with hazards including microgravity, radiation, and enclosed spaces. Research into mitigating these health issues includes analysis of the transcriptome of rodents sent to the International Space Station. This project investigates the effects of spaceflight on the mammary tissue of female mice of two age groups, 10-12 and 32 weeks, in order to assess the impact of age and spaceflight on gene expression in a tissue relevant to female health. Analysis of the OSD-511 dataset from NASA’s Open Science Data Repository utilized a containerized implementation of their RNA-Seq pipeline on the San …