A QUALITATIVE METHOD STUDY ON SERIOUS MENTAL ILLNESSES SEEING IN HOMELESSNESS

Homelessness is a serious social problem influenced by various factors, specifically serious mental illnesses (SMI’s). Based on past studies, there is limited research that explains the quality of mental health services for individuals who are unhoused with SMI’s. The purpose of this research was to explore mental health services among the unhoused population who have serious mental illnesses (SMI’s) (from the perspective of social service providers). The study was a qualitative method design which provided a rich in-depth description through interviews. The study answered the following research questions: What is the perception of mental health services among homeless groups in California? What are effective ways to make homeless services accessible for the population? The researcher conducted the study on a single point of time to focus on social service providers and their interactions with the unsheltered population. The researcher recruited five participants for sampling, using snowball sampling, who were licensed clinical social workers and social service providers. Findings were that five major themes were gathered from the interview data which were barriers to access, building trust, stigma around mental health, effectiveness of outreach and flexibility, and comprehensive and collaborative care. The study established a better understanding of the quality of mental health services, specifically by identifying how homeless individuals perceive mental health services and ways to make homeless services accessible to the population. Findings from this research can contribute to positively informing better social work practices when providing support to the unhoused population

NTIER CODE GENERATOR

This project presents a software tool designed to automate the generation of standardized code for all layers of an n-tier architecture, including the Database Layer, Data Access Layer (DAL), and Business Logic Layer (BLL). By employing object-oriented principles and parsing the database structure, the tool ensures modularity, scalability, and maintainability. It efficiently formats code templates for CRUD operations, enhancing development efficiency and consistency, while streamlining database interactions and enforcing business rules. This project presents an innovative software tool designed to automate the generation of standardized code for all layers of an n-tier architecture, including the Database Layer, Data Access Layer (DAL), and Business Logic Layer (BLL). By employing object-oriented principles and parsing the database structure, the tool ensures modularity, scalability, and maintainability of the application. The tool efficiently formats code templates for CRUD operations, which stands for Create, Read, Update, and Delete functionalities, enhancing development efficiency and consistency across various projects. Its ability to streamline database interactions and enforce business rules is particularly noteworthy, as it significantly reduces development time and potential for human error. Moreover, the nTier code generator offers immense value by ensuring that the generated code adheres to best practices and industry standards, thus promoting high-quality software development. By maintaining synchronization across all layers of the application, it provides a robust foundation for future modifications and extensions. The n-tier architecture model itself is a sophisticated design pattern that separates an application into multiple layers, each with a distinct responsibility. Typically, it consists of the Presentation Layer (PL), Business Logic Layer (BLL), Data Access Layer (DAL), and Database Layer. The Presentation Layer is responsible for user interaction, the Business Logic Layer handles core application logic, the Data Access Layer interacts with the database, and the Database Layer stores structured data. By adhering to this architecture, the project not only ensures a well-structured and organized codebase but also facilitates easier maintenance and scalability. The automated code generator represents a significant advancement in software development tools, offering developers a powerful resource to enhance their productivity and the overall quality of their applications

The Intricate Dance Between Stars and Words: A Review of Customer Reviews in Tourism

Travel and tourism industries rely heavily on customer reviews from past travelers as an invaluable source for informing potential travelers’ decisions. Thanks to the internet, reviews are an invaluable source for both quantitative star ratings as well as qualitative text comments that evaluate travel experiences. In this paper we analyse this complex relationship between text comments and their associated star ratings; using existing literature we highlight their interplay to give an overall picture of customer satisfaction. Factors that influence ratings and comments include both intrinsic (service quality, staff behavior) and extrinsic aspects such as location or price. Sentiment analysis through Natural Language Processing (NLP) helps interpret emotions or opinions expressed through comments to correlate them with star ratings. Review platforms such as TripAdvisor are key resources for travelers; however, they also face issues of biases or fake reviews that require further attention. This review emphasises the significance of taking both quantitative and qualitative aspects of customer reviews into account in tourism, providing valuable insights as well as uncovering gaps that require further exploration - for instance, specific travel styles, deeper qualitative analyses, cultural differences, or language barriers that need further investigation. Future research must extend beyond English reviews into non-English reviews from different travel segments as this could enhance decision-making and customer service in tourism businesses; by filling in gaps this could allow better customer understanding leading to increased satisfaction with services and informed decision-making by businesses. As this review concludes, its significance lies in emphasizing both quantitative and qualitative aspects of customer reviews in the tourism industry is clear. By filling any identified gaps through further research efforts, tourism organizations can deepen their understanding of customer experiences resulting in more informed decision-making processes and enhanced customer satisfaction ratings

FOLLOW THROUGH SINCE THE IMPLEMENTATION OF KATIE A V. BONTA

This research proposal aims to explore how well Los Angeles County has followed through with the guidelines that Katie A. v Bonta has set. This paper will suggest ways to effectively carry out the research through a systematic literature review. Foster children are more likely to be diagnosed with mental health illnesses such as depression, anxiety, or PTSD. Katie, a young 4-year-old girl, went through 37 placements and received no mental health services. As a result, a class action lawsuit came about with Los Angeles County. Based on the lawsuit, policies were made to provide mental health services to foster youth. However, it is unclear if these policies have been effectively implemented. This project proposes that data should be extracted from the articles based on the interventions, characteristics of the participants, and the methodology. The data that will be utilized consists of existing peer reviewed research and grey literature. The potential contributions of potential findings to the social work profession. The proposed project will provide an additional tool for the Social Work profession to monitor if the implementation of the Katie A V Bonta guidelines has been adequate and effective

THE EFFECTIVENESS OF GLP-1 MEDICATIONS IN REDUCING ALCOHOL CONSUMPTION

Alcohol use disorder (AUD) is a serious public health issue, and current treatments often have limited effectiveness. This study explores whether glucagon-like peptide-1 (GLP-1) medications, commonly used for diabetes and weight management, can help reduce alcohol consumption. Using data from the All of Us Research Program, alcohol drinking behaviors were compared between matched groups of GLP-1 users and non-users. Statistical tests and visualization tools (Python and Tableau) examined differences in drinking frequency, daily alcohol intake, and episodes of heavy drinking. Results showed significant reductions in alcohol consumption among GLP-1 users. Specifically, GLP-1 users drank fewer drinks per day (p=0.0042), drank less frequently (p\u3c0.0001), and had fewer heavy drinking episodes (p\u3c0.0001). Additionally, the effectiveness of GLP-1 medications did not significantly vary based on body mass index (BMI), indicating potential benefits regardless of obesity status. The study also considered how demographic factors and healthcare access might influence treatment availability. Although limited by small cohort sizes and data from only one point in time, these results suggest that GLP-1 medications may effectively reduce alcohol consumption. Future studies should use larger participant groups, track changes over time, and collect detailed medication dosage information

DEGRADATION OF MARTIAN GLACIER-LIKE FORMS IN RELATION TO THE OBSERVED EVOLUTION OF EMMONS GLACIER ON MOUNT RAINIER, WA

This study establishes parallels between the observed degradational evolution of debris-covered glaciers on Mount Rainier, WA and select glacier-like forms (GLFs) by studying the time-varying morphologies of the debris cover. Mount Rainier is home to 28 debris-covered valley glaciers, including Emmons Glacier which has a history of orthoimages taken from 1951 to 2023 and high-resolution Digital Elevation Model (DEM) coverage of 2008, 2021 and 2022. We can observe the degradational evolution of Emmons Glacier through orthorectified black and white imagery collected from an airborne platform and the National Agricultural Imagery Program (NAIP) colored satellite images periodically collected over the last 72 years. GLFs in the Mars mid-latitude areas are indicative of past ice flow based on visual interpretations of their overall forms and from surface textures that are similar to glaciers on Earth. On Mars, GLFs are the smaller flows by area that appear most similar to debris-covered valley glaciers on Earth. Morphological textures discernable in tonal and spatial variation display supraglacial landform evolution of debris-covered glaciers on Earth, including Emmons Glacier on Mount Rainier observable at the meter scale with DEMs. Observations of Emmons Glacier show that these textures—such as crevasses, ridges, and moraines—develop and degrade over time as ice thins and debris accumulates. These evolutionary stages provide a baseline for interpreting similar textural patterns in Martian GLFs, suggesting that these Martian features may represent advanced stages of degradation, potentially analogous to the later stages observed at Mount Rainier

CHALLENGES THE SPORTING INDUSTRY FACED DURING COVID-19 ON FAN ATTENDANCE: THE CASE OF THE NATIONAL BASKETBALL ASSOCIATION

This culminating experience project investigates the challenges the sporting industry faced during the COVID-19 pandemic, with a focused look at the National Basketball Association. The research questions are: (Q1) How did the NBA arena shutdowns impact fan attendance for each team during the COVID-19 pandemic? (Q2) What factors influenced NBA arena attendance before the COVID-19 shutdowns? (Q3) What factors influenced NBA arena attendance after the COVID-19 shutdown? The data collected includes all 30 NBA teams from 2019 through the 2024 seasons. The research questions were analyzed using multilinear regression analysis and comparison of attendance data over 6 seasons including the immediate seasons before and after the COVID-19 pandemic. The findings and conclusions for each question are: (Q1) Involves comparing the seasonal attendance data for each team and the percentage change between each year, highlighting the pivotal 2021 pandemic year. (Q2) A focus on factors that influenced NBA attendance before the shutdowns, with a focus on arena capacity, winning percentage, key performance statistics per game, and revenue. (Q3) A focus on factors after the shutdowns, with statistical analysis of models comparing the NBA with the MLB, MLS, and NFL

CONSTRUCTING BINARY ENCODING MATRICES FROM JOINED GRAPHS

Codes and technology are part of our daily lives and allow the modern world to function, and for us to have conveniences in our lives such as smartphones that can be used to privately call people on the other side of the planet, and for secure access to the internet. In this thesis we will explore the construction of binary codes created by vertex-edge incidence matrices of planar graphs. The Hamming (7,4) code was an incredible code that allowed the detection and correction of errors after receiving them through a transmission. We will explore the possibility of the creation of generator matrices that can detect and possibly correct errors that occur due to interference caused between the message being sent and it being received. Here, we will provide a proof for tree and cycle graphs, as well as a basis for other graphs and future work

IMPLEMENTING A SUSTAINABLE ANTIMICROBIAL RESISTANCE SURVEILLANCE ACROSS RIVERSIDE COUNTY

This project focuses on improving health surveillance in remote communities, addressing antimicrobial resistance (AMR) enhancing connectivity and data collection. Geographic barriers, high shipping costs, and logistical challenges have historically hindered healthcare delivery in underserved areas. By integrating healthcare facilities into a cohesive surveillance systems, would improve specimen collection and data analysis. A systematic review of literature identified key strategies, including governmental support, strengthening laboratory capacity, addressing logistical barriers, and enhancing connectivity. Notable results include insights to integrate new facilities when creating a surveillance network, supported by training and state-funded resources. Actionable steps, such as implementing National Action Plans, establishing National Reference Laboratories, and developing Laboratory Information Management Systems (LIMS), have improved data reliability and facilitated proactive health responses. The project anticipates generating valuable information to inform public health policies, increasing awareness, and bridging healthcare gaps. By addressing logistical barriers and empowering local facilities, it provides a replicable model for improving healthcare delivery in vulnerable populations