Digital Commons Network^™

Harnessing Llms For Automated Video Content Analysis: An Exploratory Workflow Of Short Videos On Depression, Jiaying (Lizzy) Liu, Yunlong Wang, Yao Lyu, Yiheng Su, Shuo Niu, Orson Xuhai Xu, Yan Zheng

Computer Science

Despite the growing interest in leveraging Large Language Models (LLMs) for content analysis, current studies have primarily focused on text-based content. In the present work, we explored the potential of LLMs in assisting video content analysis by conducting a case study that followed a new workflow of LLM-assisted multimodal content analysis. The workflow encompasses codebook design, prompt engineering, LLM processing, and human evaluation. We strategically crafted annotation prompts to get LLM Annotations in structured form and explanation prompts to generate LLM Explanations for a better understanding of LLM reasoning and transparency. To test LLM's video annotation capabilities, we analyzed 203 …

Inefficiencies In Water Supply And Perceptions Of Water Use In Peri-Urban And Rural Water Supply Systems: Case Study In Cali And Restrepo, Colombia, Diana Carolina Callejas Moncaleano, Saket Pande, Melissa Haeffner, Juan Pablo Rodríguez Sánchez, Luuk Rietveld

Environmental Science and Management Faculty Publications and Presentations

Introduction:

Water scarcity is a significant global challenge that frequently manifests as inadequate water supply for domestic purposes. However, domestic water insecurity can occur even in regions where water is naturally abundant. Despite Colombia’s plentiful surface water resources, rural and peri-urban communities often experience limited access to water. Existing water supply systems are frequently susceptible to poor maintenance, particularly in remote areas where much of the infrastructure remains outdated. Consequently, water is often lost through leaks or unintentional non-domestic use. Although a regulatory framework for water usage exists, it does not consistently translate into effective implementation.

Methodology:

Based on an …

Detecting Changes In Cancer-Related Cognitive Functioning Using Mixed-Effects Modeling And Study Design Simulations, Jonathan D. Clapp

USF Tampa Graduate Theses and Dissertations

The purpose of this dissertation is to utilize and compare two existing approaches for modeling nonlinear change in cognitive functioning in cancer patients over time and to assess alternative study designs to better capture chemotherapy-related cognitive impairment using simulation data. Using data from the Thinking and Living with Cancer study, trend analysis with orthogonal polynomials (OP) and piecewise (PW) regressions approaches used to analyze cognitive functioning trajectories. Simulated datasets tested the impact of study design parameters including measurement test-retest reliability (.6 or .8), sample size (100, 200, or 300), and the number of data collection time points (4 or 5) …

Final 2023 Bres Fsr And Caps, Butte-Silver Bow Department Of Reclamation And Environmental Services

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Unfairness Of Fair Machine Learning: Leveling Down And Strict Egalitarianism By Default, Brent Mittelstadt, Sandra Wachter, Chris Russell

Michigan Technology Law Review

In recent years, fairness in machine learning (ML), artificial intelligence (AI), and algorithmic decision-making systems has emerged as a highly active area of research and development. To date, most measures and methods to mitigate bias and improve fairness in algorithmic systems have been built in isolation from policymaking and civil societal contexts and lack serious engagement with philosophical, political, legal, and economic theories of equality and distributive justice. Many current measures define “fairness” in simple terms to mean narrowing gaps in performance or outcomes between demographic groups while preserving as much of the original system’s accuracy as possible. This oversimplified …

Butte Reduction Work (Brw) Phase Ii Interim Demolition Plan Construction Drawings And Floodplain Encroachment Analysis, Julia Crain

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Exploring The Journey Of Stem Faculty Into Justice-Centered Pedagogy, Desiree Forsythe, Bryan Dewsbury, Jeremy L. Hsu

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

In higher education and science, technology, engineering, and mathematics (STEM), interlocking oppressions can lead to inequitable environments for those who hold marginalized identities. Instructors can play key roles in either exacerbating or mitigating these inequities through their pedagogical approaches and choice of curricular material. However, it remains unclear how instructors who self-identify as committed to justice achieve higher levels of consciousness around areas of injustice and develop the self-efficacy to dismantle barriers for students over time. Here, we draw upon critical race theory and critical white studies to investigate what events or life experiences influence STEM instructors to understand the …

Engaging Students With Pocketlab Interactive Mobile Technology In A Science Classroom: A Mixed Methods Study, Olha Ketsman, Juan A. Colon Santana

Mid-Western Educational Researcher

This mixed methods study explored the impact of PocketLab interactive mobile sensors on science content knowledge among undergraduate students in an algebra-based physics laboratory course. The study also examined students' perspectives and experiences using PocketLab to learn class concepts. While no statistically significant differences were found between the control and treatment groups for items evaluating definitions and conceptual mastery, the control group outperformed the treatment group on problem-solving items. This difference may be due to the alignment of traditional Vernier technology experiments with the analytical problem-solving approach emphasized in lectures. Despite this, students using PocketLab reported greater flexibility and …

Third Ward Casper 2023 Final Report, Zuri Dale, Vishnu Nepal, Debra Maxwell, Ashlee Young

COVID Research

The 2023 Third Ward CASPER Final Report conducted by Texas Southern University (TSU) and the Houston Health Department assessed public health conditions in Houston's Third Ward community. The initiative utilized the Community Assessment for Public Health Emergency Response (CASPER) methodology to gather household-based data, informing public health decisions, emergency responses, and future resource allocation.

Objective and Key Findings: The mission aimed to assess health needs, promote health resources, and build community relationships. Notable findings include that over 36% of households reported hypertension, while 19% experienced poor mental health. Access barriers to healthcare persisted, particularly due to lack of insurance. Nearly …

Assessing Economic Losses With Covid-19 Integrated Models: A Retrospective Analysis, Timothy Robin Teng, Elvira De Lara-Tuprio, Joselito T. Sescon, Cymon Kayle Lubangco, Rolly Czar Joseph T. Castillo, Mark Anthony C. Tolentino, Maria Regina Justina E. Estuar, Lenard Paulo V. Tamayo, Christian E. Pulmano

Mathematics Faculty Publications

The COVID-19 pandemic led to a global crisis that forced governments to implement restrictive measures to control the spread of the disease. Although these restrictions, such as community quarantines, played a pivotal role in stabilizing healthcare systems, they also caused forced closures of various economic sectors that resulted in huge societal costs and severely impacted the marginalized. In order to understand and quantify the economic impact of the COVID-19 pandemic in the Philippines, an integrated modeling approach, which combined an epidemiological compartmental model and an economic model, was utilized. The evolving nature of COVID-19 required continuous updating of the integrated …

Enhancing Chemotherapy: Synergistic Action Of Cisplatin And Berberine Hydrochloride Against Osteosarcoma, Adam S. Al-Droubi, Andrea Florian

Science University Research Symposium (SURS)

Osteosarcoma, the most common type of bone cancer, is notably aggressive and prone to a rapid rate of metastasis. When the tumor is localized; the survival rate is approximately 76% and can often be treated with surgery. However, once metastasis occurs, the survival rate drops to 24% and must be treated with chemotherapy. The standard treatment for metastatic osteosarcoma typically involves combination therapeutics, with cisplatin being a key component despite its severe side effects. Unfortunately, osteosarcoma exhibits a natural resistance to chemotherapy driven by the overexpression of drug efflux pumps, DNA repair mechanisms, and apoptosis avoidance mutations. To address these …

11.11.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Radiation Safety Committee Updates

Getting Started with PIVOT_RP

Small Grants Program

Leveraging Quantitative Systems Pharmacology For Dose Optimization In Oncology Drug Development, Blerta Shtylla

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Teaching With Pedagogy And Empathy, Mamoona Muzammil, Muzammil Arshad, Washain Muzammil

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Chemistry)

Mental illness is common and can affect anyone. Each year the University welcomes students with Mental Health Issues. One in four adults in the US will experience a mental illness in their lifetime, however according to a NUS survey, eight out of ten students will experience a mental illness while in higher education. For some student’s mental illness can be a lifelong disability. Others can experience short term issues that emerge around difficult or stressful life events, while some students may be more at risk of experiencing mental illness in relation to their ethnicity, gender, sexuality or socio-economic background. Although …

Kreig: Gaining Insight Into Epidemics Through Use Of Mathematical Modeling, Christina Edholm

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Early Ctdna Kinetics As A Dynamic Biomarker Of Cancer Treatment Response, Aaron Li, Emil Lou, Kevin Leder, Jasmine Foo

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Poverty And Its Geospatial Association With Access To Hiv Treatment In Malawi, Zvifadzo Matsena Zingoni, Justin Okano, Joan Ponce, Luckson Dullie, Sally Blower

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Simulating Interventions To Improve Reproducibility In Scientific Publications, Ben G. Fitzpatrick

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Network Analysis Of Progress In Mathematics Research, Anna Singley

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Seshaiyer: Data-Driven Machine Learning Framework To Predict Dynamics Of Infectious Diseases Incorporating Human Behavior, Alonso Gabriel Ogueda Oliva, Dr. Padmanabhan Seshaiyer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling The Synergistic Interplay Between Malaria Dynamics And Economic Growth, Ruijun Zhao, Hope Enright, Calistus Ngonghala, Olivia Prsoper

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Seshaiyer: Understanding Non-Linear Dynamics Of Interacting Subpopulations And Implicit Human Behavior Using Physics-Informed Neural Networks, Naima Aubry-Romero, Alonso Ogueda-Oliva, Padmanabhan Seshaiyer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Identifiability And Convergence Behavior For Markov Chain Monte Carlo Using Multivariate Probit Models, Xiao Zhang

Michigan Tech Publications

Multivariate probit models have been popularly utilized to analysis multivariate ordinal data. However, the identifiable multivariate probit models entail the covariance matrix for the underlying multivariate normal variables to be a correlation matrix, which brings a rigorous task to conduct efficient statistical analysis. Parameter expansion to make the identifiable model to be non-identifiable has been inevitably explored. However, the effect of the expanded parameters on the convergence of Markov chain Monte Carlo (MCMC) is seldomly investigated; in addition, the comparison of MCMC developed based on the identifiable model and that based on the non-identifiable model is hardly ever explored, especially …

Predicting And Monitoring Immune Checkpoint Inhibitor Therapy Using Artificial Intelligence In Pancreatic Cancer, Guangbo Yu, Zigeng Zhang, Aydin Eresen, Qiaoming Hou, Farideh Amirrad, Sha Webster, Surya M. Nauli, Vahid Yaghmai, Zhuoli Zhang

Pharmacy Faculty Articles and Research

Pancreatic cancer remains one of the most lethal cancers, primarily due to its late diagnosis and limited treatment options. This review examines the challenges and potential of using immunotherapy to treat pancreatic cancer, highlighting the role of artificial intelligence (AI) as a promising tool to enhance early detection and monitor the effectiveness of these therapies. By synthesizing recent advancements and identifying gaps in the current research, this review aims to provide a comprehensive overview of how AI and immunotherapy can be integrated to develop more personalized and effective treatment strategies. The insights from this review may guide future research efforts …

Comparison Of Efficient Deep Learning Architectures For Lactobacillus Species Identification, Dea Aisyah Rusmawati, Ishak Ariawan, Afrinal Firmanda

Karbala International Journal of Modern Science

Identifying microorganism species, such as Lactobacillus, is essential in ensuring the food products' quality and safety. Traditional laboratory practice requires expert knowledge and experience, but the method is expensive and time-consuming due to complex sample preparation. Faster, more accurate, and cheaper computational methods, such as transfer learning technology, are needed for the Lactobacillus species classification. The technique has been effective in a variety of image recognition contexts. Deep learning architecture can also be applied as an innovative strategy for digital image-based identification. Therefore, this research aims to compare several deep-learning architectures in classifying bacterial strains of Lactobacillus. The four architectures …

Improving Infectious Disease Predictions Through The Use Of Metapopulation Sir Modeling And Graph Convolutional Neural Networks, Petr Kisselev, Padmanabhan Seshaiyer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling Insurance Impact On Opioid Addiction, Ihlara K. Williamson, Eli E. Goldwyn

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Statistically Operationalizing Structural Racism: What Is The Impact On Health Inequities In The United States?, Loni Tabb Phd

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Hell You Talmbout: Mixtapes As Method For Online Environmental Justice Pedagogy, Elspeth Iralu, Caitlin Grann

Dialogue: The Interdisciplinary Journal of Popular Culture and Pedagogy

This paper takes on the mixtape as a pedagogical method for approaching urgent and critical topics within the undergraduate online classroom. Drawing on two case studies from different sections of an introductory course on environmental and social justice taught in an American studies department, we demonstrate how mixtape-inspired assignments offer a method for theorizing and enacting the connections between popular culture and critical scholarship around injustice in the humanities and social sciences while also altering the space of the classroom to promote deeper student engagement, comprehension, and reflection. We argue that introducing popular culture as both content and method within …

Simplify Workflows: Ai As A Coding Companion, Tiffany Garrett

Library Scholarship

Artificial Intelligence is on everyone’s minds and has been the topic of the past two Matheson Lectures. But, what is the role of academic health sciences libraries? Moving the theoretical into practical, seven of our colleagues will present real-life case studies. What worked - what didn’t - what would they do differently?

This entry is from one of those case presentations on how a librarian at Roseman University of Health Sciences used AI to complete simple computer programming projects that optimized a few library workflows.