Digital Commons Network^™

Assumptions, Resources, And Inputs To Case Management: Implications For California’S Regional Center System, Jonathan Flint

Master's Projects

This project adds to knowledge of case management assumptions, resources, and inputs for California’s Regional Center system by surveying members of the Service Access and Equity working group, formed by the Department of Developmental Services (DDS). It recommends development of a logic model to evaluate case management activities because their intended societal impacts are difficult to directly measure. Additionally, it adds to the debate on health equity and racial disparities in Medicaid long-term services and supports (LTSS). In 1969, passage of the Lanterman Developmental Disabilities Services Act (The Lanterman Act) led to the first and still only entitlement to community-based …

Suburban Bay Area City Approaches To Diversity, Equity, And Inclusion (Dei), Arianna Bush

Master's Projects

The ultimate goal of government is to serve the community for the greater good. Creating an inclusive and representative environment for those working in government and for the population they serve will improve many aspects of public service. In recent decades, Diversity, Equity, and Inclusion (DEI) have been increasingly prioritized as America has become increasingly diverse. However, this effort intensified in 2020 after the murder of George Floyd and the subsequent Black Lives Matter (BLM) protests. “Three years after Floyd's death and the movement hit the streets, 74% of Black executives said they saw positive change in hiring, retention, 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 …

A Systematic Review: Relationship Between Medication Adherence And Hypertension, Monica Chan

Master's Projects

Chronic diseases are defined as conditions that are present for over one year and limit activities of daily living or require ongoing medical attention. Heart disease is the number one leading chronic disease in the United States, making up one third of all deaths. In turn it costs the health system $216 billion per year (Center for Disease Control and Prevention, 2023). Uncontrolled blood pressure is a key risk factor for heart disease and stroke. 1 in 2 adults will need to take prescription medication to control blood pressure and lower the risk of having a cardiovascular event. This systematic …

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 …

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 …

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 …

Spartanscript: New Language Design For Smart Contracts, Ajinkya Lakade

Master's Projects

Smart contracts have become a crucial element for developing decentralized applications on blockchain, resulting in numerous innovative projects on blockchain networks. Ethereum has played a significant role in this space by providing a high-performance Ethereum virtual machine, enabling the creation of several high- level programming languages that can run on the Ethereum blockchain. Despite its usefulness, the Ethereum Virtual Machine has been prone to security vulnerabilities that can result in developers succumbing to common pitfalls which are otherwise safeguarded by modern virtual machines used in programming languages. The project aims to introduce a new interpreted scripting programming language that closely …

Macruby: User Defined Macro Support For Ruby, Arushi Singh

Master's Projects

Ruby does not have a way to create custom syntax outside what the language already offers. Macros allow custom syntax creation. They achieve this by code generation that transforms a small set of instructions into a larger set of instructions. This gives programmers the opportunity to extend the language based on their own custom needs.

Macros are a form of meta-programming that helps programmers in writing clean and concise code. MacRuby is a hygienic macro system. It works by parsing the Abstract Syntax Tree(AST) and replacing macro references with expanded Ruby code. MacRuby offers an intuitive way to declare macro …

Untraining Gender Bias: An Eye-Tracking Study, Ripujit S. Bamrah

Master's Projects

In recent years, social cognitive theory has emphasized the role of cognitive processes in shaping perceptions and behavior related to gender bias. By examining the impact of targeted training interventions, this study seeks to better understand the influence of such processes on decision-making in the context of character selection. This human-computer interaction study explores the potential of intervention-based training to untraining gender bias in character selection. With an increasing need to address gender bias in various domains, understanding the impact of gender-based training becomes crucial. According to our hypothesis, exposure to masculine characters would boost people’s preference for female- intellectualized …

3d Ar Reconstruction, Sneh Arvind Kothari

Master's Projects

The goal of the project is to improve the shopping experience for users by using augmented reality technology. People generally want opinions from others when buying shoes offline. Clicking and sending images of a shoe is not an ideal solution as it does not give the complete feel of the shoe. We developed the 3D AR Reconstruction app to make this process better. A user of our app clicks photos of the shoe. This image data is converted to form a mesh that can be shared. On receiving a model the user can open it in the app and interact …

Nosql Databases In Kubernetes, Parth Sandip Mehta

Master's Projects

With the increasing popularity of deploying applications in containers, Kubernetes (K8s) has become one of the most accepted container orchestration systems. Kubernetes helps maintain containers smoothly and simplifies DevOps with powerful automations. It was originally developed as a tool to manage stateless microservices that run seamlessly in containers. The ephemeral nature of pods, the smallest deployable unit, in Kubernetes was well-aligned with stateless applications since destroying and recreating pods didn’t impact applications. There was a need to provision solutions around stateful workloads like databases so as to take advantage of K8s. This project explores this need, the challenges associated and …

Insecure Deserialization Detection In Python, Aneesh Verma

Master's Projects

The importance of Cyber Security is increasing every single day. From the emergence of new ransomware to major data breaches, the online world is getting dangerous. A multinational non- profit group devoted to online application security is called OWASP, or the Open Web Application Security Project. The OWASP Top 10 is a frequently updated report that highlights the ten most important vulnerabilities to web application security. Among these 10 vulnerabilities, there exists a vulnerability called Software and Data Integrity Failures. A subset of this vulnerability is Insecure Deserialization. An object is transformed into a stream of bytes through the serialization …

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 …

On The Memory Scalability Of Spectral Clustering Algorithms, Ran Li

Master's Projects

Spectral clustering has lots of advantages compared to previous more traditional clustering methods, such as k-means and Gaussian Mixture Models (GMM), and is popular since it was introduced. However, there are two major challenges, speed scalability and memory scalability, that impede the wide applications of spectral clustering. The first challenge has been addressed recently by Chen [1] [2] in the special setting of sparse or low dimensional data sets. In this work, we will first review the recent study by Chen that speeds up spectral clustering. Then we will propose three new computational methods for the same special setting of …

Metagenomic Survey Of Marine 16s Bacterial Communities Off Palmer Station In Antarctica, Daniel Salter

Master's Projects

This project surveys the metagenomic bacterial community composition in marine surface waters off Palmer Station, Western Antarctic Peninsula and correlates findings with temperature and salinity data. Marine bacterial communities play a vital role in nutrient cycling, but data on surface waters in this region are limited. Analyzing fifteen samples of 16S sequencing data from three austral summers, consistent dominance was observed by the classes Alphaproteobacteria, Gammaproteobacteria, and Flavobacteria. Correlation analysis confirmed significant relationships between taxa and environmental conditions. The observed trends suggest varying abilities of phyla to resist and adapt to changing environmental conditions. Notably, Alphaproteobacteria demonstrated adaptability to favorable …

Spartandark: Anonymity Model Integration With A Blockchain Network Using Spartangold, Nishanth Uchil

Master's Projects

Demand for blockchain ecosystems has seen exponential growth in recent times due to its decentralized nature and trustless verification process for the transactions involved. However, transaction data needs to be leveraged for verification, which coupled with the transparent nature of the blockchain ledger, provides sufficient data for malicious entities to reveal identities and even financial history of users. Data masking techniques have been employed over the years to make blockchain transactions anonymous, making them resistant to identity analysis, a key set of methods being zero-knowledge proof (zk-proof) protocols that guarantee zero data leak. In this research, we develop SpartanDark, a …

Evalsql - Automated Assessment Of Database Queries, Damanpreet Kaur

Master's Projects

In computer science programs, database is a fundamental subject taught through several undergraduate courses. These courses develop theoretical and practical concepts of databases. Building queries is a key aspect of this learning process, and students are assessed through assignments and quizzes. However, grading these assignments can be time-consuming for professors, and students usually receive feedback only after the deadlines have passed. As a result, students may miss the opportunity to improve their work and achieve better grades. To address this issue, it would be beneficial to provide students with immediate feedback on their submissions. EvalSQL is an automated system that …

Enhancing The Queueing Process For Yioop's Scheduler, Gargi Sheguri

Master's Projects

Indexing in search engines is the process of storing information related to crawled pages to facilitate searches. A crucial determinant of the success of a search engine is the efficiency of the indexing process utilized, which greatly affects both the speed and relevancy of search results. Yioop is an open-source web search engine that employs an inverted index strategy, wherein each term is mapped to a list of the documents it appeared in while crawling.

The primary aim of this project is to better the indexing system used by Yioop, and thus improve the quality of the Search Engine Results …

Graphical User Interface For Evidential Reasoning Models, Rohin Gopalakrishnan

Master's Projects

The Capri system is an evidential reasoning system based on the belief function calculus to support automated reasoning and decision making in uncertain environments. Example domains of application include, medical diagnosis, as well as identifying biological biomarkers. The purpose of this project is to build a Python web-based and app-based Graphical User Interface (GUI), called PyGrapher, that facilitates building graphical evidential reasoning models. The graphical models built using PyGrapher will then be converted to a form that is suitable for input to the Capri system. The PyGrapher system provides an intuitive means to build and manipulate evidential reasoning models as …

Graph Based System For Evidential Reasoning, Divyarajsinh Chauhan

Master's Projects

In the modern data driven world, graph editing tools have become very essential as they provide means to understand, visualize and manipulate complex relationships between various datasets. They have especially played a crucial role in the space of evidential reasoning, where it has made a significant impact in the decision making process by developers, analysts and researchers to understand and represent the connection in the data. Existing tools fail to handle huge amounts of data efficiently and also don’t have the features required to handle tasks related to evidential reasoning.To address these gaps, we developed Pygrapher Web UI tool. We …

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 …

Multimap Implementation In Openjdk, Nishant Yadav

Master's Projects

A key-value pair is an elementary data model in which a unique key is associated with a given value. This association between the key and the value allows for a quick lookup of data based on the key and hence is extensively used in programming languages, NoSQL databases, caches, session management, etc. In Java OpenJDK, this elementary data model is implemented by the interface Map, which allows efficient storage and retrieval of data but can only store a single value against each key. In this project, we have implemented a MultiMap data structure in OpenJDK which allows associating multiple values …

Security And Routing In A Disconnected Delay Tolerant Network, Anirudh Kariyatil Chandakara

Master's Projects

Providing internet access in disaster-affected areas where there is little to no internet connectivity is extremely difficult. This paper proposes an architecture that utilizes existing hardware and mobile applications to enable users to access the Internet while maintaining a high level of security. The system comprises a client application, a transport application, and a server running on the cloud. The client combines data from all supported applications into a single bundle, which is encrypted using an end-to-end encryption technique and sent to the transport. The transport physically moves the bundles to a connected area and forwards them to the server. …

Efficacy Of Gabapentin Versus Benzodiazepines In The Management Of Alcohol Withdrawal Syndrome, Douglas R. Fredona

Master's Projects

Alcohol abuse, complicated by a dependency relationship, is the third leading modifiable cause of death in the United States. In patients with chronic alcohol use disorder who experience a sudden cessation or significant decrease in alcohol consumption, half will experience symptoms of alcohol withdrawal syndrome. Benzodiazepines are the typical first line treatment for alcohol withdrawal. However, benzodiazepines carry with them significant risks and side effects. As a result, ongoing research has taken place to find either an alternative treatment or a method of reducing total benzodiazepine dosage during treatment. Gabapentin is a medication that is primarily used for seizure control …

Dynamic Predictions Of Thermal Heating And Cooling Of Silicon Wafer, Hitesh Kumar

Master's Projects

Neural Networks are now emerging in every industry. All the industries are trying their best to exploit the benefits of neural networks and deep learning to make predictions or simulate their ongoing process with the use of their generated data. The purpose of this report is to study the heating pattern of a silicon wafer and make predictions using various machine learning techniques. The heating of the silicon wafer involves various factors ranging from number of lamps, wafer properties and points taken in consideration to capture the heating temperature. This process involves dynamic inputs which facilitates the heating of the …

Hate Speech Detection In Hindi, Pranjali Prakash Bansod

Master's Projects

Social media is a great place to share one’s thoughts and to express oneself. Very often the same social media platforms become a means for spewing hatred.The large amount of data being shared on these platforms make it difficult to moderate the content shared by users. In a diverse country like India hate is present on social media in all regional languages, making it even more difficult to detect hate because of a lack of enough data to train deep/ machine learning models to make them understand regional languages.This work is our attempt at tackling hate speech in Hindi. We …

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 …

Yelp Restaurant Popularity Score Calculator, Sneh Bindesh Chitalia

Master's Projects

Yelp is a popular social media platform that has gained much traction over the last few years. The critical feature of Yelp is it has information about any small or large-scale business, as well as reviews received from customers. The reviews have both a 1 to 5 star rating, as well as text. For a particular business, any user can view the reviews, but the stars are what most users check because it is an easy and fast way to decide. Therefore, the star rating is a good metric to measure a particular business’s value. However, there are other attributes …

Modeling Sequencing Artifacts In Artificial Low Frequency Cancer Data, Hannele Padre

Master's Projects

The rapid advancement in technology for next-generation sequencing (NGS) continues to make NGS more affordable, and in turn, there is a high influx of sequencing data. While NGS is relatively fast and efficient compared to previous sequencing technologies, there are a multitude of steps in the NGS workflow in which sequencing errors can be introduced. Such sequencing errors are known as artifacts, and if not careful, they can be mistaken for true variants. It's especially important to distinguish artifacts in cancer biopsies, specifically liquid biopsies, a noninvasive method for sample collection. Somatic mutations occur at low frequencies, and a liquid …