100039 research outputs found
Sort by
The Paradox of Choice: User Preferences and Completion Rates in Single-Session vs. Multi-Session Digital Mental Health Interventions
No full textDigital mental health interventions (DMHIs) offer scalable solutions for addressing mental health needs, but low adherence remains a significant challenge. Single session DMHIs may offer a feasible alternative to address this issue, providing an accessible and low-effort option for users. The present study examines whether adding the choice of a single session DMHI in addition to a multi-session DMHI provides a feasible alternative for users who might otherwise disengage. This study examined naturalistic data from 509 university students who registered for a 12-session DMHI, single session DMHI, or both. The majority (58%) chose only the multi-session DMHI, while 24.2% chose only the single-session option, and 17.5% registered for both. Rates of completing one session of the chosen DMHI were highest for the single session DMHI (56.1%), with the lowest rates among those who registered for both programs. Users who chose the single session DMHI reported lower motivation and less frequent intentions to address mental health. Satisfaction with the single-session program was high. These results highlight the promise of single-session DMHIs as a feasible and acceptable intervention to help navigate adherence challenges with longer programs, while raising questions about the effectiveness of having users choose between single-session and multi-session DMHIs
“Are There Any British Soldiers in Tobruk?” National Identity During the Siege of Tobruk, May to November 1941
No full textThroughout this thesis, I examine what it meant to be British during the 1941 Siege of Tobruk. This is important as it reveals previous assumptions about the Second World War’s British Army, including its religious practices and regional distinctions, were more diverse and influential than previously assumed. To do this, I analyze previously overlooked sources concerning religion, morality, and regional identities to demonstrate that Second World War Britishness was not monolithic
Enabling Scalable Camera-Based Streamflow Monitoring With Serverless Cloud Computing
No full textThis thesis introduces a modern and automated method for monitoring rivers and streams using cameras and cloud-based software tools. Traditional monitoring methods often rely on sensors placed directly in the water, which can be expensive, hard to install, and difficult to maintain, especially in remote or rough terrain. In contrast, this approach uses cameras to observe water flow from a distance, offering a safer and more cost-effective alternative. However, camera systems come with their own challenges, such as collecting large amounts of image data, transferring it reliably from the field, and analyzing it quickly enough to be useful. This research addresses those challenges by developing a complete solution made up of two connected parts. The first part is focused on operations at the monitoring site, where images are captured automatically and sent to online storage in a consistent and organized way. This system was tested at real stream monitoring locations and worked smoothly for months, successfully collecting and delivering thousands of images without missing data. The second part is focused on analyzing the images. Once an image arrives in storage, it is automatically processed using computer vision to identify and measure areas of water in the scene. The information is then saved in a database, along with time and location details, so it can be used to understand river conditions over time. The entire system works without the need for constant human involvement and does not require any dedicated physical infrastructure beyond the camera and the datalogger used to capture the images. It is designed to be affordable and easily expandable to more sites as needed. By combining automated image collection with cloud-based analysis, this work offers a practical way for scientists and agencies to monitor rivers more efficiently. It provides a dependable and cost-effective alternative to traditional monitoring methods and helps support better decision making about water resources
Social Media Mining for Extracting the Experience of Neurodivergent Individuals on Twitter (X) and Reddit
No full textNeurodiversity refers to the natural neurological variations in the human brain such as autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), dyslexia, dyspraxia, Tourette syndrome and other neurological disorders. it’s estimated that around 15% to 20% of the world’s population is neurodivergent. This means a significant portion of people experience neurological differences in how they think, learn, and interact with the world.
Social Media has become an important space for neurodivergent individuals to share their experiences, build communities, and seek support. This thesis explores how the online venues like X (Twitter) and Reddit offer themselves as digital spaces where neurodivergent voices express the difficulties, abilities, and experiences they possess and go through as neurologically different individual in a neurotypical world.
Using advanced techniques from machine learning and natural language processing, this work analyzed more than 90,000 posts to uncover the key themes and patterns in how neurodivergent people talk about their lives online and how these talks can be useful in creating a more inclusive environment for them in social, professional, and educational set- tings. Text Clustering helped in representing similar types of conversations, while topic modeling methods like LDA and Top2Vec revealed recurring issues such as academic pressure, workplace struggles, emotional resilience, sensory sensitivities, and creative coping strategies. To make these insights more interpretable, the study used GPT-based tools to generate clear summaries and groupings of the discovered topics to reveal global themes.
The findings not only provide a panoramic view of neurodivergent discourse on social media, but also lay the groundwork for designing inclusive educational tools and survey instruments in future research. Ultimately, this work demonstrates how mining online conversations can surface valuable, community-driven knowledge to guide better support systems for neurodivergent individuals in education and beyond
Pilot Results of the Teens Lifting Teens: A Statewide Youth Development Program
No full textYouth mental health and teen suicide prevention are among the highest needs in Utah communities. The Teens Lifting Teens (TLT) pilot program seeks to equip Youth Councils with resources and education through training, near-peer mentoring, and service-learning opportunities to build protective factors among teens. Evaluation results showed that TLT youth exposure to near-peer mentoring and service-learning opportunities positively impacted their lives
Outcomes and Impact of an E-commerce Extension Program in Rural Utah
No full textUtah State University Extension’s E-commerce Accelerator (ECA), a mentoring service of the Rural Online Initiative, provides hands-on e-commerce training to small rural businesses in Utah. From January 2024 to July 2025, thirty-five (35) businesses have successfully created online sales websites, with 27 (68%) reporting increased sales revenue
