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Page Evidence Promotion For Open-Domain Multimodal Document Question Answering, Abdolhossein Erfanshekooh Jan 2026

Page Evidence Promotion For Open-Domain Multimodal Document Question Answering, Abdolhossein Erfanshekooh

Electronic Theses and Dissertations

Open-domain multimodal document question answering requires retrieving a small set of answer-bearing pages from a large document collection before a vision-language model can generate an answer. Although modern retrieval systems may return hundreds or thousands of candidate pages, the answer model typically receives only the highest-ranked few. Consequently, relevant evidence may already be present in the candidate pool yet remain unavailable to the answer model because it is ranked below the reader cutoff. This thesis identifies this retrieval-to-reader gap as a page evidence promotion problem and proposes a framework for diagnosing and addressing it. First, page-level pseudo-supervision is derived from …


Integration Of Ders Volt-Var Dynamic Constraint Into Time-Coupled Optimal Power Flow For System Stability, Shadrack T. Asiedu Jan 2026

Integration Of Ders Volt-Var Dynamic Constraint Into Time-Coupled Optimal Power Flow For System Stability, Shadrack T. Asiedu

Electronic Theses and Dissertations

The transition toward power systems with higher levels of inverter-based generation requires operating models that account for the dynamic support available from distribution-connected resources. Although inverter-based DERs can provide fast reactive-power support through functions such as Volt–VAR control, conventional optimal power flow models generally represent these resources as static power injections. In addition, transmission-level dispatch commonly represents the downstream distribution system as an aggregated load and does not explicitly consider the voltage at the point of common coupling. Consequently, an OPF solution may satisfy the transmission-bus voltage constraints while producing an operating point at which the downstream DERs do not …


The Influence Of Controlled Intake And Anabolic Implant Timing On Growth Performance And Carcass Traits In Feedlot Ruminants, Justin J. Delver Jan 2026

The Influence Of Controlled Intake And Anabolic Implant Timing On Growth Performance And Carcass Traits In Feedlot Ruminants, Justin J. Delver

Electronic Theses and Dissertations

The objective of this dissertation was to evaluate how previous plane of nutrition and anabolic implant timing interact to influence growth performance, composition of growth, and the carcass characteristics in ruminants. Three experiments were conducted using cattle and sheep models to determine the metabolic adaptations driving compensatory growth. In experiment 1, yearling beef steers (n = 192) were fed ad libitum for 141 days (ADLIB) or restricted to 92% of ad libitum intake for 56 (RES56) or 86 (RES86) days followed by realimentation. Cumulative dry matter intake (DMI) was reduced in both restricted groups (P = 0.002) with no difference …


Effect Of Increasing Potency Of Steroidal Implants In Beef Steers At Weaning From Dry-Lot To Finish, Weston Joseph Peschel Jan 2026

Effect Of Increasing Potency Of Steroidal Implants In Beef Steers At Weaning From Dry-Lot To Finish, Weston Joseph Peschel

Electronic Theses and Dissertations

The receiving phase is a stressful transition period in beef production. Newly weaned cattle are offered low-energy, high-forage diets promoting lean tissue and bone development prior to the finishing phase. Steroidal implants containing trenbolone acetate (TBA) and estradiol benzoate (EB) enhance lean gain. Aggressive early implant exposure has been shown to negatively impact intramuscular fat deposition. This two-part study evaluated the initial and carryover effects of increasing doses of combined TBA and EB weaning implants on growth performance, serum metabolites, and carcass traits. In Exp. 1, newly weaned Charolais × Red Angus crossbred beef steers [n = 240 initially; body …


Modeling Heterogeneous Trajectories Of Chronic Kidney Disease Progression With Finite Mixture Models Using The All Of Us Dataset, Yahaya Mumuni Musah Jan 2026

Modeling Heterogeneous Trajectories Of Chronic Kidney Disease Progression With Finite Mixture Models Using The All Of Us Dataset, Yahaya Mumuni Musah

Electronic Theses and Dissertations

Background: Chronic kidney disease (CKD) does not progress uniformly across patients, and a single average trajectory often fails to capture this heterogeneity. Understanding variation in disease progression is important for improving risk stratification and clinical management. 
Objectives: This study aims to characterize the heterogeneity of chronic kidney disease (CKD) progression using longitudinal estimated glomerular filtration rate (eGFR) data and to identify factors associated with distinct progression trajectory patterns. 
Methods: A longitudinal cohort study was conducted using data from the All of Us} Research Program collected between April 23, 2002, and October 1, 2023. Adult participants with repeated eGFR measurements were …


Enzyme Susceptibility And Functionality Of High Protein Retentates And Reconstituted Ingredients, Khushi Dubey Jan 2026

Enzyme Susceptibility And Functionality Of High Protein Retentates And Reconstituted Ingredients, Khushi Dubey

Electronic Theses and Dissertations

This thesis explores the effects of processing history on the enzymatic susceptibility and functional properties of high-protein dairy ingredients, with a specific focus on ultrafiltered (UF) and microfiltered (MF) retentates and spray-dried powders. While retentates and powders are often used interchangeably in industrial applications, processing steps, such as drying, can induce structural and physicochemical changes that affect protein functionality and enzyme accessibility. Milk protein concentrates (MPC) and micellar casein concentrates (MCC) were standardized to 10% protein and subjected to enzymatic treatments, including proteolysis (Alcalase and rennet) and crosslinking (transglutaminase and laccase). Structural modifications were evaluated using capillary gel electrophoresis, non-protein …


Semantic Discovery Of Genomic Datasets With Ai, Lawrence Allibah Jan 2026

Semantic Discovery Of Genomic Datasets With Ai, Lawrence Allibah

Electronic Theses and Dissertations

Traditional keyword-based search in genomic databases often fails to capture the latent semantic context of biological studies, leading to a ``Lexical Gap" in research discovery. This thesis presents a high-performance dual-engine discovery system built upon 10,000 studies. By utilizing 1,536-dimensional vector embeddings, with large language models (LLMs) we implement a search engine coupled with a novel Hybrid Boosting layer that integrates semantic intent with factual metadata. Furthermore, we apply a high-dimensional K-Means clustering algorithm for unsupervised topic discovery. Empirical benchmarking demonstrates that the Hybrid Boosting engine achieves a 38.1% gain in precision and a 41.2% increase in Mean Reciprocal Rank …


Detecting And Characterizing Latent Subpopulations Of Classes Via Mixture Models, Andrew Simpson Jan 2026

Detecting And Characterizing Latent Subpopulations Of Classes Via Mixture Models, Andrew Simpson

Electronic Theses and Dissertations

A class of problems in statistical pattern recognition exists in which there is high-dimensional data with few realizations per class, commonly referred to as few-shot learning. Data that arises in forensic source identification, which deals with providing a probabilistic value of evidence with regard to the source of some object, falls into this class of problems. Namely, the data is sampled from a hierarchical sampling process, lives in a high-dimensional space, the number of sources (or classes) tends towards infinity, and there are few observations per source. This can be thought of as a few-shot learning problem. Because of these …


Variability In Documentation Of Neurological And Psychiatric Examinations Among Emergency Department Patients With Behavioral Health-Related Presentations: A Retrospective Study, Abdulelah Almanie, Inaara Malick, Nidal Moukaddam Jan 2026

Variability In Documentation Of Neurological And Psychiatric Examinations Among Emergency Department Patients With Behavioral Health-Related Presentations: A Retrospective Study, Abdulelah Almanie, Inaara Malick, Nidal Moukaddam

Faculty, Staff and Students Publications

Background: Emergency departments (EDs) serve as a critical safety net for individuals experiencing acute behavioral health crises, a population that faces substantial medical morbidity and well-documented disparities in healthcare delivery. Thorough physical and neuropsychiatric assessment is essential in this setting to identify medical conditions that may mimic or exacerbate psychiatric symptoms. Incomplete documentation of these assessments may reflect gaps in care processes and represent a potential marker of inequity.

Objective: To characterize the completeness of documented neurological and psychiatric examinations among adult ED patients presenting with primary behavioral health-related chief complaints and to assess whether documentation patterns suggest persistent gaps …


Inducible Pou Class 2 Homeobox 3 Expression In Human Intestinal Organoids As A Model Of Human Tuft Cells, Mary K Estes, Sarah E Blutt Jan 2026

Inducible Pou Class 2 Homeobox 3 Expression In Human Intestinal Organoids As A Model Of Human Tuft Cells, Mary K Estes, Sarah E Blutt

Faculty, Staff and Students Publications

No abstract provided.


Executive Summary Of The Kdigo 2026 Clinical Practice Guideline For The Management Of Anemia In Chronic Kidney Disease (Ckd), Rebecca S Cheung Khedairy, Yarieli Cuevas, Emmanuel E Effa, Michele F Eisenga, Steven Fishbane, Yelena Z Ginzburg, Volker H Haase, S Susan Hedayati, Siah Kim, José A Moura-Neto, Evi V Nagler, Patrick Rossignol, Manisha Sahay, Tetsuhiro Tanaka, Angela Yee-Moon Wang, David C Wheeler, Karen A Robinson, Lisa M Wilson, Renee F Wilson, Amy Earley, Elie A Akl, Marcello Tonelli Jan 2026

Executive Summary Of The Kdigo 2026 Clinical Practice Guideline For The Management Of Anemia In Chronic Kidney Disease (Ckd), Rebecca S Cheung Khedairy, Yarieli Cuevas, Emmanuel E Effa, Michele F Eisenga, Steven Fishbane, Yelena Z Ginzburg, Volker H Haase, S Susan Hedayati, Siah Kim, José A Moura-Neto, Evi V Nagler, Patrick Rossignol, Manisha Sahay, Tetsuhiro Tanaka, Angela Yee-Moon Wang, David C Wheeler, Karen A Robinson, Lisa M Wilson, Renee F Wilson, Amy Earley, Elie A Akl, Marcello Tonelli

Faculty, Staff and Students Publications

The Kidney Disease: Improving Global Outcomes (KDIGO) 2026 Clinical Practice Guideline for the Management of Anemia in Chronic Kidney Disease (CKD) represents an update to the guideline published in 2012. Its scope includes diagnosis and evaluation of anemia; use of iron to treat iron deficiency and anemia in CKD; use of erythropoiesis-stimulating agents and hypoxia-inducible factor-prolyl hydroxylase inhibitors to treat anemia in CKD; and red blood cell transfusions to treat anemia in CKD. The guideline has been developed with patient partners, healthcare providers, and researchers around the world, with the goal to generate a useful resource for healthcare providers and …


Case Series Of Nizon-Isidor Syndrome By Heterozygous Variants In Med12l With Further Evidence Of Mitotic Instability In One Case With Diploid-Triploid Mosaicism, Brian Corner, Ashley Mcminn, Joy D Cogan, Rizwan Hamid, Lynette Rives, John A Phillips, Nina Paddu, Gitanjali Srivastava, Ronit Marom, Farah A Ladha, Claudia Soler-Alfonso, Rachel Franciskovich, Mary Koziura, Sumit Pruthi, Gabriele Richard, Christina B Sheedy, Undiagnosed Diseases Network, Thomas Cassini Jan 2026

Case Series Of Nizon-Isidor Syndrome By Heterozygous Variants In Med12l With Further Evidence Of Mitotic Instability In One Case With Diploid-Triploid Mosaicism, Brian Corner, Ashley Mcminn, Joy D Cogan, Rizwan Hamid, Lynette Rives, John A Phillips, Nina Paddu, Gitanjali Srivastava, Ronit Marom, Farah A Ladha, Claudia Soler-Alfonso, Rachel Franciskovich, Mary Koziura, Sumit Pruthi, Gabriele Richard, Christina B Sheedy, Undiagnosed Diseases Network, Thomas Cassini

Faculty, Staff and Students Publications

Nizon-Isidor syndrome is a rare disorder caused by heterozygous variants in MED12L, with only eight documented cases in the literature. Here, we present three additional cases of this syndrome. Proband 1 was a 7-year-old female who presented with developmental delay, right-leg hemihypertrophy, laryngeal cleft, esotropia, abnormal skin pigmentation, sectoral iris hypopigmentation, dysphagia, periventricular nodular heterotopia, seizures, morbid obesity, and a pelvic kidney. Genome sequencing (GS) revealed a MED12L variant, NM_053002.5:c.3559+2T>G. Both computational models and transcriptomic analysis confirmed that this variant induced splice loss of MED12L exon 25. Probands 2 and 3 presented with overlapping phenotypes of developmental delay; sequencing …


Large Aerosol Particles Favor Haze Conditions Through Limitations On Water Budget And Activation Kinetics, Hamed F. Sadi, Ernie Lewis, Kadja Flore Gali, Fan Yang, Jesse Anderson, Suryadev Pratap Singh, Jae Min Yeom, Will Cantrell, Raymond Shaw Jan 2026

Large Aerosol Particles Favor Haze Conditions Through Limitations On Water Budget And Activation Kinetics, Hamed F. Sadi, Ernie Lewis, Kadja Flore Gali, Fan Yang, Jesse Anderson, Suryadev Pratap Singh, Jae Min Yeom, Will Cantrell, Raymond Shaw

Michigan Tech Publications

Experiments in the Pi Convection‐Cloud Chamber conducted by systematically changing the diameter of injected dry aerosol particles while holding the temperature difference constant demonstrate that dry diameter strongly influences the onset of haze‐dominated conditions. Two factors contribute: the system becomes water‐limited, resulting in reduction of supersaturation by growing aerosol particles to the activation diameter; and the activation process becomes kinetically limited. Dry aerosol diameter exerts a strong influence on activation time, with a power‐law exponent of 9/2. Kinetically limited activation occurs when the ratio of the activation and droplet residence times is greater than unity. The findings demonstrate that a …


Film In Illiberal Times: Poland’S Public Memory And The European Union, Frances Tanzer Jan 2026

Film In Illiberal Times: Poland’S Public Memory And The European Union, Frances Tanzer

History

This article is about the recent transformation of two powerful, paradoxical, and inseparable narratives of progress that developed in the postwar period: aesthetic autonomy and Holocaust remembrance. As far-right and illiberal parties have gained power across Europe, they adapted these foundational narratives of the liberal-democratic West to assert their own legitimacy and to reimagine the cultural inclinations of the European Union. This article examines how this process has taken place in the reception of Jonathan Glazer's Zone of Interest (2023) and Agnieszka Holland's Green Border (2023)—both international co-productions produced during the repressive eight-year reign of the Law and Justice Party …


Cone Beam Computed Tomography For Endodontics: Incidental Findings And Respective Significance Jan 2026

Cone Beam Computed Tomography For Endodontics: Incidental Findings And Respective Significance

Faculty, Staff and Student Publications

Background: The aim of this study is to determine the prevalence, distribution, and follow-up recommendations of incidental findings in cone beam computed tomography (CBCT) scans acquired for endodontic treatment.

Methods: This was a retrospective review of limited field-of-view (FOV) CBCT images for endodontic evaluation obtained at the Stony Brook University School of Dental Medicine between 2018 and 2022. All scans were reviewed by 1 oral and maxillofacial radiology (OMR) resident and all incidental findings were corroborated with the radiology report approved by 1 of 2 board-certified OMRs. Data extracted for each case included age, gender, and reason for scan; and …


The Longitudinal Effect Of Repetition And Practice On The Accuracy Of Lay Anal Examinations For Detecting Perianal And Anal Canal Abnormalities: A Prospective Study, Michael D Swartz, Ellen Almirol, John A Schneider, J Michael Wilkerson, Lu-Yu Hwang, Derek Smith, Duo Yu, Aniruddha Hazra, Elizabeth Y Chiao Jan 2026

The Longitudinal Effect Of Repetition And Practice On The Accuracy Of Lay Anal Examinations For Detecting Perianal And Anal Canal Abnormalities: A Prospective Study, Michael D Swartz, Ellen Almirol, John A Schneider, J Michael Wilkerson, Lu-Yu Hwang, Derek Smith, Duo Yu, Aniruddha Hazra, Elizabeth Y Chiao

Faculty, Staff and Student Publications

Background: While anal cancer screening is now recommended in several countries for high-incidence populations, barriers impede screening uptake. It is well known that patient recognition of symptoms increases cancer screening uptake, and we previously demonstrated that patients can detect small masses at the perianus and in the anal canal. In this current analysis, we aimed to longitudinally assess the effect of repetition and practice on patient self-recognition of small masses.

Methods: Individuals and couples of sexual minority men and transgender women were taught to conduct an anal self-examination or anal companion examination (ASE/ACE) at visit 1 and then randomized to …


Genome-Wide Gene-Sleep Interaction Study Identifies Novel Lipid Loci In 732,564 Participants, Michael R Brown, Aldi T Kraja, John L Morrison, Jeffrey R O'Connel, Songmi Lee, Karen Schwander, Traci M Bartz, Lisa De Las Fuentes, Mary F Feitosa, Xiuqing Guo, Xu Hanfei, Sarah E Harris, Zhijie Huang, Mart Kals, Christophe Lefevre, Massimo Mangino, Yuri Milaneschi, Peter J Van Der Most, Nicholette D Palmer, Varun Rao, Rainer Rauramaa, Quan Sun, Yasuharu Tabara, Dina Vojinovic, Yujie Wang, Stefan Weiss, Qian Yang, Wei Zhao, Wanying Zhu, Md Abu Yusuf Ansari, Hugues Aschard, Pramod Anugu, Themistocles L Assimes, John Attia, Laura D Baker, Christie Ballantyne, Lydia Bazzano, Eric Boerwinkle, Brain Cade, Hung-Hsin Chen, Wei Chen, Yii-Der Ida Chen, Zekai Chen, Kelly Cho, Ileana De Anda-Duran, Latchezar Dimitrov, Anh Do, Todd Edwards, Tariq Faquih, Aroon Hingorani, Susan P Fisher-Hoch, J Michael Gaziano, Sina A Gharib, Ayush Giri, Mohsen Ghanbari, Hans Jörgen Grabe, Mariaelisa Graff, C Charles Gu, Jiang He, Sami Heikkinen, James Hixson, Yuk-Lam Ho, Michelle M Hood, Serena C Houghton, Carrie A Karvonen-Gutierrez, Takahisa Kawaguchi, Tuomas O Kilpeläinen, Pirjo Komulainen, Henry J Lin, Gregorio V Linchangco, Annemarie I Luik, Jintao Ma, James B Meigs, Joseph B Mccormick, Cristina Menni, Ilja M Nolte, Jill M Norris, Lauren E Petty, Hannah G Polikowsky, Laura M Raffield, Stephen S Rich, Renata L Riha, Thomas C Russ, Edward A Ruiz-Narvaez, Colleen M Sitlani, Jennifer A Smith, Harold Snieder, Tamar Sofer, Botong Shen, Jingxian Tang, Kent D Taylor, Maris Teder-Laving, Rima Triatin, Michael Y Tsai, Henry Völzke, Kenneth E Westerman, Rui Xia, Jie Yao, Kristin L Young, Ruiyuan Zhang, Alan B Zonderman, Xiaofeng Zhu, Jennifer E Below, Simon R Cox, Michelle Evans, Myriam Fornage, Ervin R Fox, Nora Franceschini, Sioban D Harlow, Elizabeth Holliday, M Arfan Ikram, Tanika Kelly, Timo A Lakka, Deborah A Lawlor, Changwei Li, Ching-Ti Liu, Reedik Mägi, Alisa K Manning, Fumihiko Matsuda, Alanna C Morrison, Matthias Nauck, Kari E North, Brenda Wjh Penninx, Michael A Province, Bruce M Psaty, Jerome I Rotter, Tim D Spector, Lynne E Wagenknecht, Ko Willems Van Dijk, Lifelines Cohort Study, Million Veteran Program, Cashell E Jaquish, Peter Wf Wilson, Patricia A Peyser, Patricia B Munroe, Paul S De Vries, W James Gauderman, Yan V Sun, Han Chen, Clint L Miller, Thomas W Winkler, Dabeeru C Rao, Susan Redline, Diana Van Heemst Jan 2026

Genome-Wide Gene-Sleep Interaction Study Identifies Novel Lipid Loci In 732,564 Participants, Michael R Brown, Aldi T Kraja, John L Morrison, Jeffrey R O'Connel, Songmi Lee, Karen Schwander, Traci M Bartz, Lisa De Las Fuentes, Mary F Feitosa, Xiuqing Guo, Xu Hanfei, Sarah E Harris, Zhijie Huang, Mart Kals, Christophe Lefevre, Massimo Mangino, Yuri Milaneschi, Peter J Van Der Most, Nicholette D Palmer, Varun Rao, Rainer Rauramaa, Quan Sun, Yasuharu Tabara, Dina Vojinovic, Yujie Wang, Stefan Weiss, Qian Yang, Wei Zhao, Wanying Zhu, Md Abu Yusuf Ansari, Hugues Aschard, Pramod Anugu, Themistocles L Assimes, John Attia, Laura D Baker, Christie Ballantyne, Lydia Bazzano, Eric Boerwinkle, Brain Cade, Hung-Hsin Chen, Wei Chen, Yii-Der Ida Chen, Zekai Chen, Kelly Cho, Ileana De Anda-Duran, Latchezar Dimitrov, Anh Do, Todd Edwards, Tariq Faquih, Aroon Hingorani, Susan P Fisher-Hoch, J Michael Gaziano, Sina A Gharib, Ayush Giri, Mohsen Ghanbari, Hans Jörgen Grabe, Mariaelisa Graff, C Charles Gu, Jiang He, Sami Heikkinen, James Hixson, Yuk-Lam Ho, Michelle M Hood, Serena C Houghton, Carrie A Karvonen-Gutierrez, Takahisa Kawaguchi, Tuomas O Kilpeläinen, Pirjo Komulainen, Henry J Lin, Gregorio V Linchangco, Annemarie I Luik, Jintao Ma, James B Meigs, Joseph B Mccormick, Cristina Menni, Ilja M Nolte, Jill M Norris, Lauren E Petty, Hannah G Polikowsky, Laura M Raffield, Stephen S Rich, Renata L Riha, Thomas C Russ, Edward A Ruiz-Narvaez, Colleen M Sitlani, Jennifer A Smith, Harold Snieder, Tamar Sofer, Botong Shen, Jingxian Tang, Kent D Taylor, Maris Teder-Laving, Rima Triatin, Michael Y Tsai, Henry Völzke, Kenneth E Westerman, Rui Xia, Jie Yao, Kristin L Young, Ruiyuan Zhang, Alan B Zonderman, Xiaofeng Zhu, Jennifer E Below, Simon R Cox, Michelle Evans, Myriam Fornage, Ervin R Fox, Nora Franceschini, Sioban D Harlow, Elizabeth Holliday, M Arfan Ikram, Tanika Kelly, Timo A Lakka, Deborah A Lawlor, Changwei Li, Ching-Ti Liu, Reedik Mägi, Alisa K Manning, Fumihiko Matsuda, Alanna C Morrison, Matthias Nauck, Kari E North, Brenda Wjh Penninx, Michael A Province, Bruce M Psaty, Jerome I Rotter, Tim D Spector, Lynne E Wagenknecht, Ko Willems Van Dijk, Lifelines Cohort Study, Million Veteran Program, Cashell E Jaquish, Peter Wf Wilson, Patricia A Peyser, Patricia B Munroe, Paul S De Vries, W James Gauderman, Yan V Sun, Han Chen, Clint L Miller, Thomas W Winkler, Dabeeru C Rao, Susan Redline, Diana Van Heemst

Faculty, Staff and Student Publications

Background and aims: Deviations from the population mean in sleep duration have been associated with increased risk for developing dyslipidemia and atherosclerotic cardiovascular disease, but the mechanism of effect is poorly characterized. We performed large-scale genome-wide gene-sleep interaction analyses of lipid levels to identify genetic variants underpinning the biomolecular pathways of sleep-associated lipid disturbances and to suggest possible druggable targets.

Methods: We collected data from 55 cohorts with a combined sample size of 732,564 participants (87 % European ancestry) with data on lipid traits (high-density lipoprotein [HDL-c] and low-density lipoprotein [LDL-c] cholesterol and triglycerides [TG]). Short (STST) and long (LTST) …


Correction: Feasibility Of Conducting A Pilot Randomized Trial Of A Mindfulness-Based Intervention Among Sheltered Young Adults Experiencing Homelessness, Ethel Jacko, Stanley Cron Jan 2026

Correction: Feasibility Of Conducting A Pilot Randomized Trial Of A Mindfulness-Based Intervention Among Sheltered Young Adults Experiencing Homelessness, Ethel Jacko, Stanley Cron

Faculty, Staff and Student Publications

This corrects the article "Feasibility of conducting a pilot randomized trial of a mindfulness-based intervention among sheltered young adults experiencing homelessness" in volume 16, 1649664.


Population-Based Analysis Of Synergistic Effects Of Functional Disability And Comorbidities On Retention In Hiv Care Among People With Hiv, Charles Darkoh Jan 2026

Population-Based Analysis Of Synergistic Effects Of Functional Disability And Comorbidities On Retention In Hiv Care Among People With Hiv, Charles Darkoh

Faculty, Staff and Student Publications

Objective: This cross-sectional study examined how types of disability and comorbidities influence retention in care (RIC) among people with HIV (PWH) in Houston/Harris County, Texas, USA.

Methods: Data from 1142 participants in the Houston Medical Monitoring Project (2015–2021) were analyzed. Descriptive statistics, bivariate analyses, and multivariable logistic regression were used to evaluate factors associated with RIC.

Results: Approximately 74.9% of participants were retained in care. Compared to PWH without specific comorbidities, those with dyslipidemia and kidney disease had higher odds of RIC (AOR: 2.66; 95% CI: 1.40–5.03 and AOR: 14.08; 95% CI: 1.44–138.12, respectively). PWH reporting only mobility disability had …


Evaluating Artificial Intelligence Large Language Mocdels In Dental Education: A Cross-Sectional Survey On Usage, Perceptions, And Integration At A U.S. Dental Scho Jan 2026

Evaluating Artificial Intelligence Large Language Mocdels In Dental Education: A Cross-Sectional Survey On Usage, Perceptions, And Integration At A U.S. Dental Scho

Faculty, Staff and Student Publications

Introduction: The adoption of artificial intelligence (AI) in higher education presents opportunities and challenges for dental education. This study explores the use of Large Language Model (LLM) based AI tools, including ChatGPT and Grammarly AI, among faculty and students at the UTHealth School of Dentistry in Houston (UTSDH). This research assessed usage patterns, perceived benefits and concerns, and AI training demand.

Methods: A piloted, cross-sectional survey was administered via email. The survey included Likert-scale, multiple-choice, and open-ended questions. Respondents provided demographics and rated their LLM-based AI tools for use and perceptions in educational, clinical, and research contexts. Data was analyzed …


Estimating Sediment Properties Using A New Source Level Function For Wind-Driven Underwater Sound Derived From Long-Term Archival Data, S Bruce Martin, Martin Siderius Jan 2026

Estimating Sediment Properties Using A New Source Level Function For Wind-Driven Underwater Sound Derived From Long-Term Archival Data, S Bruce Martin, Martin Siderius

Electrical and Computer Engineering Faculty Publications and Presentations

Wind-driven breaking waves generate the background sound throughout the ocean. An accurate source level for wind-driven breaking waves is needed for estimating the ambient sound levels needed for sound exposure modeling, environmental assessments, and assessing the detection performance of sonars. Previous models applied a constant roll-off of sound levels at -16 dB/decade at all wind speeds, and these models' source levels were flat at frequencies below ∼1000 Hz due to a lack of measurements. Here, we analyzed 16 long-term archival datasets with limited anthropogenic sound sources to estimate the wind-driven source level down to 100 Hz. We estimated the site-specific …


Developing Provider Digital Twins For Personalized Provider-Patient Communication Via A Rag-Based Conversational Framework, Fang Li, Muhammad Amith, Licong Cui, Antonio J Forte, Cui Tao Jan 2026

Developing Provider Digital Twins For Personalized Provider-Patient Communication Via A Rag-Based Conversational Framework, Fang Li, Muhammad Amith, Licong Cui, Antonio J Forte, Cui Tao

Faculty, Staff and Student Publications

Digital twins have emerged as a paradigm in precision and personalized medicine, enabling data-driven modeling of individuals to support tailored interventions. While most existing work focuses on patient-oriented twins, little attention has been given to modeling the provider’s role, particularly in clinical communication. In this study, we present GRACE (Generalized RAG-Enhanced Conversation Framework), a framework for constructing a provider digital twin (ProDT) that emulates key aspects of clinicians’ communicative and cognitive behavior. GRACE integrates three modules: a physician-informed dialog script generation and optimization module for provider-patterned conversation, a Retrieval-Augmented Generation (RAG) pipeline for factual grounding and timely knowledge updating, and …


Frame: Fast Reference-Based Ancestry Makeup Estimation Tool Jan 2026

Frame: Fast Reference-Based Ancestry Makeup Estimation Tool

Faculty, Staff and Student Publications

Motivation: The availability of large-scale genetic data presents a unique opportunity to study the genetic ancestries of individuals, which requires an efficient and scalable method. The existing global ancestry methods are accurate, but they cannot scale to large genetic datasets. Identity-by-descent (IBD) segments are DNA segments shared by individuals such that they are inherited from a common recent ancestor without recombination. These IBD segments, which reflect co-ancestry, provide an efficient alternative for inferring genetic ancestry.

Results: We introduced a reference-based global ancestry inference method called FRAME (Fast Reference-based Ancestry Makeup Estimation). FRAME utilizes partial local ancestry information estimated through IBD …


Examining Motivators And Barriers To Meditation Practice Among Individuals With Spinal Cord Injury: Insights From A Survey Study, Shrasti Lohiya, Audrey S Cohen, Christine Bakos-Block, Tiffany Champagne-Langabeer Jan 2026

Examining Motivators And Barriers To Meditation Practice Among Individuals With Spinal Cord Injury: Insights From A Survey Study, Shrasti Lohiya, Audrey S Cohen, Christine Bakos-Block, Tiffany Champagne-Langabeer

Faculty, Staff and Student Publications

Context: Meditation and mindfulness practices offer promising non-pharmacological alternatives for individuals with spinal cord injury (SCI) to improve their health and well-being, but integrating such practices into daily routines can be challenging.

Objectives: This survey study aims to identify motivators and barriers to engagement with meditation and mindfulness interventions among individuals with SCI.

Methods: A cross-sectional survey was conducted among adults with SCI (N = 94) from a single large acute rehabilitation center in the United States.

Results: Results from the survey showed a strong interest in meditation among individuals with SCI, with nearly half reporting current engagement in meditation …


Workforce Review Of Health Information Technology Associate-Degree Graduates: 2017-2024, Angela Kennedy, David T Marc, Velma L Payne, Rebecca Reynolds Jan 2026

Workforce Review Of Health Information Technology Associate-Degree Graduates: 2017-2024, Angela Kennedy, David T Marc, Velma L Payne, Rebecca Reynolds

Faculty, Staff and Student Publications

Background: The career path of associate-degree health information technology (HIT) graduates continues to change quickly as quality and payment regulations, technology requirements, and workforce expectations evolve to meet the demands of the changing health care environment. Although HIT professionals play an essential role in accuracy, regulatory compliance, and the overall function of health information systems, there is limited research describing HIT workforce trends.

Methods: A mixed-methods approach was used with 587 survey responses. Quantitative data were standardized by job category, including a newly developed "health information management (HIM) operations" group, and career movement was visualized using a Sankey diagram. Qualitative …


Ai Privacy And Security In Healthcare: A Systematic Literature Review, Elise V Z Lambert, Mary Morton, Jamie Sand, David Gibbs, Susan Fenton Jan 2026

Ai Privacy And Security In Healthcare: A Systematic Literature Review, Elise V Z Lambert, Mary Morton, Jamie Sand, David Gibbs, Susan Fenton

Faculty, Staff and Student Publications

Background: Artificial intelligence is expanding into telemedicine and telerehabilitation, yet significant privacy and security concerns persist.

Scope: To synthesize empirical evidence on privacy and security approaches in health care, particularly those relevant to distributed home care.

Methodology: A systematic review identified 80 studies (2019 to 2025), and Latent Dirichlet Allocation (LDA) topic modeling characterized the privacy and security themes.

Results: Sixty-six studies addressed privacy, only seventeen addressed security, and three studies addressed both. LDA identified four themes: patient data privacy, federated learning for medical imaging, encrypted training and secure computation, and healthcare data governance. Most studies emphasized privacy-preserving approaches, like …


Rendering Knowledge Graphs From Aerospace Dentistry Processes For Clinical Decision Support Systems, Yang Gong, Ronak Shah, Ana C Neumann Jan 2026

Rendering Knowledge Graphs From Aerospace Dentistry Processes For Clinical Decision Support Systems, Yang Gong, Ronak Shah, Ana C Neumann

Faculty, Staff and Student Publications

NASA and commercial space flight companies expect to make long-term missions into deep space with the Artemis project and Mars mission. Health care in deep space is a priority as the missions require limited crew and equipment to accommodate astronauts' needs. Analyzing the probable clinical procedures and workflows for this setting is needed to ensure quality care and safety. This paper introduces Business Process Modeling and Notation (BPMN) and OWL2-based modeling to represent aerospace dental workflows for low-earth orbit and potential deep space missions. We developed BPMN process models and created ontology-based knowledge graph representations for individual dental procedures using …


Accelerating Ai Innovation In Healthcare: Real-World Clinical Research Applications On The Mayo Clinic Platform, Ahmed Abdelhameed, Xiaodi Li, Jianfu Li, Xiaoke Liu, Liu Yang, Nilüfer Ertekin-Taner, Phil Fiero, Soulmaz Boroumand, Richard Larsen, Maneesh Goyal, Clark C Otley, Nansu Zong, Vijay H Shah, John D Halamka, Cui Tao Jan 2026

Accelerating Ai Innovation In Healthcare: Real-World Clinical Research Applications On The Mayo Clinic Platform, Ahmed Abdelhameed, Xiaodi Li, Jianfu Li, Xiaoke Liu, Liu Yang, Nilüfer Ertekin-Taner, Phil Fiero, Soulmaz Boroumand, Richard Larsen, Maneesh Goyal, Clark C Otley, Nansu Zong, Vijay H Shah, John D Halamka, Cui Tao

Faculty, Staff and Student Publications

Artificial intelligence (AI) holds promise for healthcare, but real-world implementation remains difficult. The Mayo clinic platform (MCP) addresses this by providing scalable, multi-institutional, de-identified data and analytical tools. Through four research projects, we demonstrate MCP's ability to support efficient cohort identification, AI model development, and real-world evidence generation. MCP enables broader accessibility and standardization compared to institutional EHRs, positioning it as a powerful platform for advancing translational research and precision medicine.


Provgen: A Privacy-Preserving Approach For Outcome Validation In Genomic Research Jan 2026

Provgen: A Privacy-Preserving Approach For Outcome Validation In Genomic Research

Faculty, Staff and Student Publications

As genomic research has grown increasingly popular in recent years, dataset sharing has remained limited due to privacy concerns. This limitation hinders the reproducibility and validation of research outcomes, both of which are essential for identifying computational errors during the research process. In this paper, we introduce PROVGEN, a privacy-preserving method for sharing genomic datasets that facilitates reproducibility and outcome validation in genome-wide association studies (GWAS). Our approach encodes genomic data into binary space and applies a two-stage process. First, we generate a differentially private version of the dataset using an XOR-based mechanism tailored to biological characteristics. Second, we restore …


A User-Friendly Graphical User Interface For Paw Touch Classification In Rodent Cylinder Testing Jan 2026

A User-Friendly Graphical User Interface For Paw Touch Classification In Rodent Cylinder Testing

Faculty, Staff and Student Publications

In unilateral rodent models of disease or injury, deficits are induced in only one side of the body, allowing the difference in right versus left limb usage to serve as a metric of disease/injury severity and recovery with various treatments. Unilateral rat models are commonly used for conditions such as Parkinson’s disease (via the neurotoxin 6-hydroxydopamine, 6-OHDA), stroke, and traumatic brain injury, as well as cervical spinal cord injury and peripheral nerve damage. The ‘cylinder test’ has been used for over two decades as a reliable metric of asymmetry in forelimb usage. In this test, videos are taken of the …