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- Creator:
- Knapp, Wyatt
- Description:
- Advances in healthcare and medical science have led to increased longevity of world populations. As the world population continues to age, healthcare systems struggle to keep up with the needs of an aging population with increasingly complex medical needs. Sharp Transitions is a community-based palliative care program consisting of registered nurses and medical social workers who visit patients with pre-terminal illness in their homes. The program aims to reduce unnecessary hospitalizations and emergency room visits for predictable exacerbations of chronic disease while also promoting quality of life for patients living with pre-terminal disease. There is currently no universally established delivery of care model for community-based palliative care services. This grant proposal intends to study the impact of adding a nurse practitioner to the existing framework of the Sharp Transitions program. The dependent variables in this proposal are the number of emergency room visits, hospital admissions, 30-day re-admissions, cost analysis, and patient or caregiver satisfaction scores measured by the Palliative Outcome Scale. This proposal is significant to nursing science as the data obtained can contribute to developing a delivery of care model for community-based palliative care services.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Nursing
- Creator:
- Ehsan, Rahal
- Description:
- There is a lack of published, successful strategies to monitor and manage glycemic levels in individuals with Type 2 diabetes mellitus (T2DM) and Substance Use Disorder (SUD). Individuals with SUD report difficultly maintaining a healthy diet and integrating appropriate lifestyle modifications to effectively manage diabetes long-term. This grant proposal aims to study the impact of an educational intervention with the use of a continuous glucose monitor (CGM) device for management of blood glucose. HgA1c levels will be the primary variable to demonstrate glycemic control as it directly correlates with reductions in long term complications and mortality. The impact of the study will provide evidence of the usefulness and acceptability of a CGM device in management of diabetes in this population that will support adoption of these tools in diabetes education programs. Ultimately, the results of this study seek to reveal a strategy for individuals with T2DM and SUD that will result in improved health outcomes.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Nursing
- Creator:
- Kanagala Mukhul
- Description:
- The importance of a good recommendation system is of high necessity in the modern world,where almost all businesses are being available online. In the large scale e-commerce websites like amazon,Walmart, e-bay,Costco and Alibaba etc have been using these recommender systems for a long time. These recommender systems play a major role in their success and profits in their business too.Not only e-commerce websites but other sources of entertainment like Netflix, Youtube, Hulu, Spotify use this recommender systems to provide a better experience to the users. As we can see that these recommendation systems are being used by all types of industries, every company uses a different type of technique and algorithms to build these recommender systems. This paper suggests the use of new approach to estimate the similarity and make the appropriate recommendation to the users.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Computer Science & Information Systems
- Creator:
- Ahmed, Osman Mohammed Viquar
- Description:
- This project aims on automating the task of a receptionist that includes recognizing people and interacting with them in real time using concepts of Deep Learning exploiting a ML model-based Face Recognition system as the main feature. This would allow a hotel or an office to use this system to have an efficient reception system that will accept customers, interact with them, recognize new or existing faces using facial recognition and schedule appointments or book rooms, etc. The system will allow a customer to feed in facial data and use the algorithm to store that information as an existing customer. From that point on, it used the same recognition anytime the customer logs in again. The project efficiently allows us to record new faces into the system in real-time and later match the same when the user returns with added security features. In addition, the software will be able to interact with the user in real-time and schedule meetings, etc. The main aim of this project is to implement the concepts of machine learning and allow for an efficient facial recognition system with added features for security and an efficient GUI.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Computer Science & Information Systems
- Creator:
- Jimenez, Maria
- Description:
- This exploratory study examines residents’ perspectives and experiences of a traditionally Latinx immigrant neighborhood on the precipice of gentrification. Inspired by insights from critical race theory and existing studies on the relationship of gentrification and civil gang injunctions, I interviewed seven Mexican American long-term residents of Barrio Posole, an Oceanside, California neighborhood with three civil gang injunctions in place against former and current residents. Findings highlight Posole residents’ observations of a neighborhood whose character is starting to change from a working-class Latinx neighborhood to an upper-middle-class white one. Many longstanding residents have been pushed out of the neighborhood due to police harassment and the physical upgrades to the neighborhood that increased its cost of living. In spite of the disruptive forces at hand, some residents resist by staying in Barrio Posole, making good use of use of community resources, and advocating on behalf of the Latinx families who have long lived in the neighborhood.
- Resource Type:
- Masters Thesis
- Campus Tesim:
- San Marcos
- Department:
- Sociology
- Creator:
- Quinonez, Claudia, Fahrtosh, Jasmine, Irungaray, Mickayla, and Atassi, James
- Description:
- Starting March 2020, the COVID-19 pandemic caused a variety of changes in American youth and adolescent’s daily activities during the span of the shelter-in-place. Due to the establishment of shelter-in-place by the government, school closures have forced students to attend classes virtually. This has impacted the physical activity of youth and adolescents in one way or another since they lack the same access to in-person physical education they had before the shelter-in-place order. The goal of this project was to examine how COVID-19 shelter-in-place orders affect the physical activity level of youth and adolescents. A survey was designed to collect data from parents about their children in regard to the effects of COVID-19 on their physical activity levels, which portrayed negative effects. Based on the results, appropriate health communication strategies were created to promote and increase physical activity among youth and adolescents during a shelter-in-place.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Nursing
- Creator:
- Vadlamudi, Shirisha
- Description:
- Motor vehicle crashes involving drowsy driving are huge in numbers all over the world. Many studies revealed that 10 to 30% of crashes are due to drowsy driving. Fatigue has costly effects on the safety, health, and quality of life. We can detect this drowsiness of driver using various methods, e.g., algorithms based on behavioral gestures, physiological signals and vitals. Also, few of them are vehicle based. Drowsiness of driver was detected based on steering wheel movement and lane change patterns. A pattern is derived based on slow drifting and fast corrective steering movement. We developed a prototype that detects the drowsiness of an automobile driver using artificial intelligence techniques, precisely using open-source tools like TensorFlow Lite on a Raspberry Pi development board. The TensorFlow model is trained on images captured from the video with the help of object detection using Cascade Classifier. In order to have a better accuracy, an Inception v3 architecture is used in pre-training the model with the image dataset. We create and train the final model using long short-term memory (LSTM) and then convert the final TensorFlow model to TensorFlow Lite model and use this lite model on Raspberry Pi board to detect the drowsiness of driver.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Computer Science & Information Systems
- Creator:
- Bhaganagre, Seema
- Description:
- The novel Coronavirus 2019 or commonly known as the Covid-19 has so far been the worst pandemic that could hit the human race. Initially, the World Health Organization (WHO) called it an epidemic and later declared it a pandemic after a large-scale community transmission through the globe. The Data gathered is from about 209 countries that were reported by the WHO for Covid-19 in India. In this paper, we are going to take a look at the demographic view of the cases reported throughout the country and later use different Machine Learning models to predict the future of this variable pandemic. The methodology followed is to study and examine the datasets and then build a model with the help of three regressions like Support Vector Regression (SVR), Polynomial Regression (PR), and Deep Learning Regression model (DLR). The results of this experiment would forecast the future of this uncertain pandemic and give us a predicted value for the twenty and help us understand and visualize it with graphs plotted with the help of matplotlib in python. Also, the common information about the deaths, affirmed and recovered cases throughout the world over the time length, makes a difference in assessing the near future. For added evaluation or future viewpoint, case definition and data combination must be well-kept diligently. Hence fixing place the preventive measure can effectively manage the spread of Covid-19 and also the death rate is going to be reduced and eventually be controlled in India as well as the other countries.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Computer Science & Information Systems
- Creator:
- Tanikella, Umabhanu
- Description:
- This project aims to build a model that can give results on whether a financial institution can approve credit cards to its customer. This card approval decision by financial companies is done based on considering various reasons related to individuals varying from creditworthiness, loan and repayment history, and income standards. This model can help an institution to make a precise judgment on whether a card can be approved or denied for avoiding fraudulence that can impact financial companies with loss. Through the project work, I tried to examine what are the keynote features or requirements considered for issuing a credit card to consumers by financial institutions by evaluating the existing data set from a machine learning repository through machine learning visualization and analysis techniques.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Computer Science & Information Systems
- Creator:
- Luvsanjambaa, Odon and Alulema, Kaitlin
- Description:
- Adolescents who have opioids introduced in the household have delayed social emotional development, poor grades, and may be more likely to use drugs at a young age. Drug use is a barrier to a healthy environment for children. Addicted parents may be more distant with their children so they may not form an emotional bond or have healthy parenting. The goal of this capstone was to develop an inclusive program for children and adolescents exposed to household opioid use based on a review of the relevant literature. This project was guided by the Health Belief Model. To construct this program, the focus is on three goals: 1) helping adolescents improve their grades, 2) providing socioemotional support services, 3) and education on drugs. Studies prove that there should be more support programs available for long term effects on children exposed to opioids. With the opioid epidemic affecting more populations, it is important to research and to develop public health programs for children affected by opioid use in the household.
- Resource Type:
- Graduate project
- Campus Tesim:
- San Marcos
- Department:
- Nursing