Digital Commons Network^™

Automatic Uncovering Of Patient Primary Concerns In Portal Messages Using A Fusion Framework Of Pretrained Language Modelsautomatic Uncovering Of Patient Primary Concerns In Portal Messages Using A Fusion Framework Of Pretrained Language Models, Sunyang Fu, Dezhi Wu, Hongfang Liu, Ming Huang

Faculty, Staff and Student Publications

OBJECTIVES: The surge in patient portal messages (PPMs) with increasing needs and workloads for efficient PPM triage in healthcare settings has spurred the exploration of AI-driven solutions to streamline the healthcare workflow processes, ensuring timely responses to patients to satisfy their healthcare needs. However, there has been less focus on isolating and understanding patient primary concerns in PPMs-a practice which holds the potential to yield more nuanced insights and enhances the quality of healthcare delivery and patient-centered care.

MATERIALS AND METHODS: We propose a fusion framework to leverage pretrained language models (LMs) with different language advantages via a Convolution Neural …

Artificial Intelligence In Fusion Protein Three-Dimensional Structure Prediction: Review And Perspective

Faculty, Staff and Student Publications

Recent advancements in artificial intelligence (AI) have accelerated the prediction of unknown protein structures. However, accurately predicting the three-dimensional (3D) structures of fusion proteins remains a difficult task because the current AI-based protein structure predictions are focused on the WT proteins rather than on the newly fused proteins in nature. Following the central dogma of biology, fusion proteins are translated from fusion transcripts, which are made by transcribing the fusion genes between two different loci through the chromosomal rearrangements in cancer. Accurately predicting the 3D structures of fusion proteins is important for understanding the functional roles and mechanisms of action …

Patient-Centered Clinical Decision Support Challenges And Opportunities Identified From Workflow Execution Models, Nicole A Gauthreaux, James Swiger, Edwin A Lomotan, Prashila Dullabh

Faculty, Staff and Student Publications

OBJECTIVE: To use workflow execution models to highlight new considerations for patient-centered clinical decision support policies (PC CDS), processes, procedures, technology, and expertise required to support new workflows.

METHODS: To generate and refine models, we used (1) targeted literature reviews; (2) key informant interviews with 6 external PC CDS experts; (3) model refinement based on authors' experience; and (4) validation of the models by a 26-member steering committee.

RESULTS AND DISCUSSION: We identified 7 major issues that provide significant challenges and opportunities for healthcare systems, researchers, administrators, and health IT and app developers. Overcoming these challenges presents opportunities for new …

Serl: Style-Embedding Representation Learning For Unsupervised Ct Images Synthesis From Unpaired Mr Images, Xiaobo Zhou

Faculty, Staff and Student Publications

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide, and the fastest-growing cause of cancer deaths in the United States. Computed tomography (CT) and magnetic resonance (MR) imaging are the key image-based examination methods for HCC patients. Patients may alternatively undergo CT and MR exams given a radiation dose of the former and the cost of the latter. Due to organ representation differences between CT and MR, it's a great challenge to detect the tumors from a time series of data consisting of both CT and MR by a single model. The annotations for these time series …

Challenges In Lncrna Biology: Views And Opinions, Ekaterina G Derevyanchuk, Tatiana P Shkurat, Jeffrey A Loeb, Ivan Martinez, Leonard Lipovich

Faculty, Staff and Student Publications

This is a mini-review capturing the views and opinions of selected participants at the 2021 IEEE BIBM 3rd Annual LncRNA Workshop, held in Dubai, UAE. The views and opinions are expressed on five broad themes related to problems in lncRNA, namely, challenges in the computational analysis of lncRNAs, lncRNAs and cancer, lncRNAs in sports, lncRNAs and COVID-19, and lncRNAs in human brain activity.

Do Older Siblings Differentiate From Their Younger Siblings? Predictors And Longitudinal Correlates, Iliana Wilkinson

All Graduate Theses and Dissertations, Fall 2023 to Present

Families are a critical part of an individual's development, yet sibling influences on development are rarely studied. Siblings often share the same genetics and live in the same environment, yet many remark that they are nothing like their brothers or sisters. One proposed reason for these differences is sibling differentiation, a process by which individuals become different from their sibling in order to reduce conflict and rivalry as well as increase intimacy in the sibling relationship. To date, this process has been studied from the perspective of the younger sibling; the current study focused on older siblings. Using longitudinal data …

Perspectives Of Speech-Language Pathologists On Strategies And Skills To Support Parental Involvement In Language Stimulation And Co-Viewing, Jeanelle Canelo

Education Doctoral

The purpose of this qualitative phenomenological study was to guide the role of parents in language stimulation and parental co-viewing as it relates to linguistic development and adult-child facilitated screen use in toddlers. The study explored New York State licensed and certified speech language pathologist’s (SLPs) perceptions of a healthy balance of screen time (ST), playtime, and parent-child interaction. Objectives included understanding the impact of ST on communication skills and exploring how adult–child engagement influences language development outcomes in children under age 5. The methodology involved one-on-one interviews via Zoom with the SLPs, using semi-structured questions. Data was collected, transcribed, …

The Prevalence And Experience Of Burnout Among Physical Therapists In Home Health Care: A Mixed Methods Study, Sherry Kessler

Education Doctoral

The purpose of this dissertation research study was to investigate burnout in physical therapists working in the growing field of home health care. The existing body of literature shows the prevalence and impact of burnout within the general sector of health care; however, evidence is limited in the setting of home health care, and there is less research with physical therapists. A convergent parallel mixed methods approach was used to combine quantitative data from the Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI-HSS [MP]) with professional demographic information and qualitative data from an open-ended questionnaire. The study recruited 60 …

Navigating The Storm: Addressing Youth Mental Health In New York State Public High Schools, Sheila Mashack

Education Doctoral

The United States is experiencing a mental health crisis among its youth. This crisis is, characterized by rising suicide rates, persistent sadness, and increased psychiatric visits. Comorbid conditions further complicate this crisis. Employing a qualitative phenomenological approach, this study explores challenges faced by high school counselors and social workers. According to Bitsko et al. (2022), 88% of schools lack confidence in their capacity to provide sufficient mental health services. Key findings highlight substantial gaps in mental health service delivery, including overwhelming caseloads and insufficient resources, which impede the effectiveness of interventions.

The study recommends increasing staff diversity, ensuring equitable resource …

Interagency Collaboration And The School-To-Prison Pipeline: Perspectives Of Public High School And Juvenile Detention Facility Administrators, Michael A. Allen Ii

Education Doctoral

The academic plight of Black and brown youth who enter the United States juvenile justice system is well-documented. Their likelihood of graduating from high school decreases, while the likelihood of dropping out and being further involved with the justice system increases. Although many factors contribute to this conundrum, this study explored the relationship between the public education system and the juvenile justice system. Using an adaptive leadership theoretical framework, this transcendental phenomenological study sought to ascertain the perspectives of administrators working in public high schools as well as those working in juvenile detention facilities across New York State. Through semi-structured, …

Linking Community-Level Food Sovereignty To Subjective Wellbeing: Framing Perspectives On Food Systems In The Upper Yakima River Basin, Alexander W. Theophilus

All Graduate Theses and Dissertations, Fall 2023 to Present

Food sovereignty is a framework focused on achieving a wide range of changes in food systems that yield more equitable outcomes for consumers, workers, farmers, and future generations. Food sovereignty is also believed to be an important driver of community wellbeing. However, there is limited research linking perceptions of community-level food sovereignty to subjective wellbeing. Additionally, the complex determinants of food sovereignty are not fully understood. Through two papers linking community-level food sovereignty and subjective wellbeing, I discuss the factors that influence food sovereignty and the impact of food systems on wellbeing in Washington’s upper Yakima River Basin.

In the …

Quantifying Plot-Scale Evapotranspiration In Northeast Utah, W. Sheridan Stewart

All Graduate Theses and Dissertations, Fall 2023 to Present

Evapotranspiration, the combined movement of water from the earth's surface and plants to the atmosphere, is a component of the energy balance of the land surface atmosphere continuum. Often, irrigation is used to replace water removed from the soil through evapotranspiration. Water management for irrigation is often done at the plot or field scale. Due to the smaller footprint size and the large upfront costs, evaluating evapotranspiration at such a small scale can be difficult to justify. The aim of the study was to quantify evapotranspiration at the plot scale. An energy balance model that evaluates energy from two sources, …

The Influence Of Business Development Areas On Leadership Positions Within Landscape Architecture Professional Practice, Catherine E. Frost

All Graduate Theses and Dissertations, Fall 2023 to Present

Landscape architecture is a discipline that connects natural, physical, and human sciences, and which operates as a professional design practice. While technical skills and design proficiency have historically been the focus of landscape architecture programs, the literature indicates a recognition of the indispensable role of entrepreneurial skills alongside design expertise (Marsh, 1928; Pray, 1911; Rice, 2017; Shepphard et al., 2018). However, there remains a scarcity of research specifically investigating business development skills within landscape architecture practice (Evans & Leccese, 1991; Gobster et al., 2010; Granet, 2021; Littlefield, 2015; Powers & Walker, 2009).

To bridge this gap, this study engaged in …

Advancing Thermal Property Measurements And Water Management For Controlled Environment Agriculture On Earth And Beyond, Chihiro Dixon

All Graduate Theses and Dissertations, Fall 2023 to Present

Space exploration stands as one of humanity's most profound endeavors, and plant growth in space is essential for sustaining astronauts during long-duration missions. However, operating plant growth systems under reduced gravity conditions presents challenges, particularly in ensuring uniform water distribution in the root zone. Non-uniform water distribution such as excess water and/or insufficient water in the root zone can significantly impact plant yield, necessitating the need to accurately estimate water status in the root zone and understand the dynamics of water flow in plant growth media under reduced gravity conditions. The objectives of this research were to enhance the accuracy …

A Framework To Unveil Design Decisions In Ecological Urbanism, Addison C. Martin

All Graduate Theses and Dissertations, Fall 2023 to Present

Ecological urbanism offers a framework for landscape architecture to address the challenges posed by dynamic infrastructure projects in the face of changing climates and human impacts. As Nature-based Solutions (NbS) become more prevalent, the role of aesthetics in these solutions becomes increasingly important. However, there has been a lack of systematic approaches to assess the design aesthetics of landscape architecture in practice. This study aims to fill this gap by providing a rapid assessment framework tailored for landscape architecture practitioners. Drawing from the concepts of regenerative design and ecological urbanism, the framework comprises three sections: Ecological Function (EFx), Anthropocentric Function …

Enhancing Refugee Resettlement And Displaced Population Support Through Elder Communities In The United States: A Model For Sustainable Solutions, Ponnaka Pok

Master's Theses

This thesis paper is inspired by the current world crisis of exploding numbers of refugees and the obstacles they face seeking somewhere to resettle. We present here an effort to address these pressing issues and to advocate for meaningful change. This paper explores the challenges and opportunities associated with refugee resettlement and displaced population issues in the United States. It investigates how Elder communities might play a pivotal role in addressing these challenges and offers a trial model for implement and continued development, and potentially for other countries and organizations to follow. This paper also has a secondary focus on …

Digitally Connected, Evolutionarily Wired: An Evolutionary Mismatch Perspective On Digital Work, Mark Van Vugt, Stephen M. Colarelli, Norman P. Li

Research Collection School of Social Sciences

This paper makes the case for an evolutionary mismatch between digital work and the way human ancestors engaged in work. Psychological adaptations for producing things that early humans needed to survive and thrive, such as cognitive mechanisms for obtaining and processing food, toolmaking, and learning valuable working skills, evolved in the context of small networks of hunter–gatherers. These adaptations are central to understanding the significance of work in human evolution. Evolutionary mismatches operate when novel environments cue ancestral adaptations in ways that no longer provide adaptive benefits. We argue that digital work, although efficient and productive, is misaligned with some …

Exploring A Multimodal Fusion-Based Deep Learning Network For Detecting Facial Palsy, Heng Yim Nicole Oo, Min Hun Lee, J. H. Lim

Research Collection School Of Computing and Information Systems

Algorithmic detection of facial palsy offers the potential to improve current practices, which usually involve labor-intensive and subjective assessment by clinicians. In this paper, we present a multimodal fusion-based deep learning model that utilizes unstructured data (i.e. an image frame with facial line segments) and structured data (i.e. features of facial expressions) to detect facial palsy. We then contribute to a study to analyze the effect of different data modalities and the benefits of a multimodal fusion-based approach using videos of 21 facial palsy patients. Our experimental results show that among various data modalities (i.e. unstructured data - RGB images …

Im/Mobilities During The Covid-19 Pandemic: Perspectives From International Graduate Students Studying In The Southern United States, Christina W. Yao, Kaitlyn Hall, Simone Gause, Leslie Jo Shelton

Educational Sciences and Organizations

The background of this study is situated within the COVID-19 pandemic as an acute challenge with chronic issues that international graduate students have faced continuously. With the pandemic serving as a critical incident, we highlight the political, systemic, and personal fragilities of international graduate students studying in the southern United States. The methods for our study were informed by a narrative inquiry approach combined with a systematic literature review to connect with the conceptual framework of Avison and Turner’s chronic strains and Robertson’s conception of timescales. The findings highlight three broad themes: shifting immigration policies and travel uncertainty, institutional responses, …

The Impact Of Perceived Administrative Support On Teacher Burnout, Madison L. Kelly

Electronic Theses and Dissertations

Teachers are crucial to many facets of life (Güneyli, 2012). Due to current occupational requirements and emotional demands, many educational professionals experience burnout (Roethler, 2021). Burnout occurs when daily occupational challenges overpower one's ability to maintain a healthy emotional state and meet professional demands (Roethler, 2021). Previous studies have been conducted on the levels of teacher stress and burnout (Agyapong et al., 2022; Chang, 2009; Lindqvist et al., 2021; Skaalvik & Skaalvik, 2021), while few studies explored the impact of administrative support and its contribution to burnout within the teacher population (Howard et al., 2017; Jacob, 2007; McCray-Davis, 2022; Tickle …

A Qualitative Narrative Study About Mental Well-Being And Coping Strategies In Generation-Z Undergraduate Student Leaders, Lacey Folsom

Electronic Theses and Dissertations

This study was a qualitative narrative on the advantages experienced by Generation Z students who participated in leadership roles within university-sponsored student organizations. This study incorporated generational, coping, and transactional theories to help the researcher establish a potential link between the mental well-being of students and their participation in cocurricular university-sponsored groups. The primary goal of this study was to gain a deeper understanding of how students perceived the influence of their participation in student organizations on their ability to handle mental well-being issues. It sought to explore whether factors such as time commitment, skill development, or an increased sense …

Between The Stacks, 08-2024, Anna Swearengen, Michelle Dry

Between the Stacks

The August 2024 edition of the University Libraries monthly newsletter presenting information on the UM3D Summer Institute, displays, Suffrage First: Tennessee and Women's Right to Vote, a Special Collections digital exhibit and employee highlights.

Factors Impacting Treatment Decisions In Caregivers Of Autistic Children, Tiffany Harris

Dissertations

Caregivers of autistic children are not only tasked with deciding upon various treatment options for their children’s symptoms but must also navigate the initial crisis that is experienced after receiving a diagnosis of ASD for their children (Blancher, 1984; Ellis, 1989). Leventhal’s Common Sense Model of Self-Regulation (the CSM; Leventhal et al., 1980) is a theoretical framework developed to understand the self-regulatory processes involved in adapting to and managing health threats and posits that cognitive and emotional illness perceptions influence illness outcomes through coping behaviors. This is the first study to examine all major components of the CSM (i.e., cognitive …

Elucidation Of Molecular Mechanisms Underlying Tumor Necrosis Factor (Tnf) Release From Mast Cells, Tolulope Eunice Ayo

Dissertations

Mast cells are one of the major producers of tumor necrosis factor-alpha (TNF), and mast cell-derived TNF (MC-TNF) is associated with pathological conditions such as rheumatoid arthritis, inflammatory bowel diseases, and allergic asthma. However, the molecular machinery underlying TNF release from mast cells has been unclear, despite the conserved nature of exocytosis. To delineate the exocytic machinery required for TNF release from mast cells, we systematically dissected the exocytic fusion machinery (e.g., Munc13, Munc18, and VAMP families) expressed in mast cells, using a combination of CRISPR-dependent knockout, RNA interference, confocal microscopy, lentiviral rescue experiments, and cell-based assays. Out of the …

Delta-Shaped Approximation Based Homotopy Analysis Method For Nonlinear Poisson-Type Partial Differential Equations, Cyril Ocloo

Dissertations

This research aims to solve nonlinear Poisson-type partial differential equations (PDEs) by the approach of the homotopy analysis method (HAM) incorporated with approximate particular solutions (APS) using Delta-shaped basis (DSB) approximations.

With the inclusion of the h auxiliary parameters, we tackle nonlinear problems by studying the mathematical characteristics of the h curve. This is to ensure the numerical convergence of the HAM.

In the solution process, we use the homotopy analysis method to convert a nonlinear PDE into linear inhomogeneous PDEs, which are solved using the method of approximate particular solutions with DSB.

A proper value of the h is …

Adam Politzer (1835-1920): The Founder Of Clinical Otology., Emily S Cushing, Taylor L Selby, Meredith Lehoe

Medical Education Articles

Adam Politzer was a Hungarian surgeon and medical scientist, credited with describing the cochlear nucleus and otitis media, revolutionizing its treatment through his invention of "Politzerization." After receiving training from notable medical figures in Vienna and London, where he studied and trained as a surgeon respectively, he became Vienna's first professor of otology. In 1873, he established the first dedicated otology clinic in the world. His five-volume textbook, "Lehrbuch der Ohrenheilkunde," unified otologic knowledge in his time and remains a resource to this day. Politzer's contributions continue to influence modern otology, solidifying his legacy as a pioneering leader in medicine.

Impact Of Pre-Harvest Fungicide Application On The Storage Performance Of Tomato Fruits, Zhifu Lan, Jing Huang, Komivi S. Akutse, Yongwen Lin

All Peer-Reviewed Publications

To examine the impact of pre-harvest fungicide applications on the postharvest storage performance of tomato fruits, we measured the lycopene content, hardness, soluble solids content, rotting rate, and weight loss rate of the fruits, as well as conducted a sensory assessment. Protective and systematic fungicides were sprayed on tomatoes 20 days before harvest in order to prevent rotting and weight loss during storage. Our findings showed that, the fungicide-treated tomatoes had a significantly lower rotting rate of 16.00% and a weight loss rate of 3.96%. However the control group experienced 65.33% rotting rate and 6.90% weight loss rate on 12th …

Novel Emergent Phases In A Two-Dimensional Superconductor, Simrandeep Kaur, Hemanta Kumar Kundu, Sumit Kumar, Anjana Dogra, Rajesh Narayanan, Thomas Vojta, Aveek Bid

Physics Faculty Research & Creative Works

In this letter, we report our observation of an extraordinarily rich phase diagram of a LaScO₃/SrTiO₃ heterostructure. Close to the superconducting transition temperature, the system hosts a superconducting critical point of the Infinite-randomness type characterized by an effective dynamical exponent ν z that diverges logarithmically. At lower temperatures, we find the emergence of a magnetic field-tuned metallic phase that co-exists with a quantum Griffiths phase (QGP). Our study reveals a previously unobserved phenomenon in 2D superconductors—an unanticipated suppression of the QGP below a crossover temperature in this system. This concealment is accompanied by the destruction of the …

Implementation And Optimization Of A Secure, Scalable, And Robust Long-Range Low-Power Mesh Network For Enhanced Geo-Location Accuracy And Efficient Data Aggregation, Sheikh Tareq Ahmed

All Dissertations

The burgeoning realm of the Internet of Things (IoT) calls for advanced communication networks that can support an ever-increasing number of connected devices. Among these, Low Power Wide Area Networks (LPWANs), specifically LoRaWAN technology, have emerged as frontrunners due to their long-range, low-power capabilities, ideally suiting IoT's expansive nature. This dissertation presents a comprehensive study on enhancing LoRaWAN technology to overcome the existing limitations in geolocation accuracy and data aggregation efficiency. The work is set against the backdrop of the technology's vulnerability to signal attenuation in obstacle-rich environments and its challenges in scaling to accommodate dense networks without performance degradation. …

School Shootings In The United States: An Analysis Of Micro And Macro Level Variables, Vineeth Vijayan

All Dissertations

In 2023, by November 2, there had been 45 school shootings resulting in fatalities and injuries (Matthews, 2023). There were 193 shooting incidents in preschools and K–12 schools during the previous school year, which is greater than an average of 49 incidents each school year since 2013 (Everytown Research & Policy, 2022). This predictive quantitative study offers a comprehensive analysis of various state-level, school-level, and individual-level variables, such as the laws related to guns, access to mental health services, economics, type of school shooting, socio-demographic indicators, school type, and timing of the incident toward informing effective preventative policies. It utilized …