Digital Commons Network^™

Is Prosocial Behavior A Unique Correlate Of Academic Success In Emerging Adulthood?, Jacqueline Di Biase

Theses and Dissertations (Comprehensive)

Prior developmental research has frequently linked prosocial behavior to stronger academic functioning during childhood and adolescence (Cruz et al., 2024; Gerbino et al., 2018; Oberle et al., 2022), yet its relevance to academic success in emerging adulthood remains unclear. Guided by a Positive Youth Development (PYD) framework, the present study sought to address gaps in emerging adulthood research by examining the academic relevance of prosocial behavior while accounting for influential developmental assets and testing its independent contribution to academic achievement. Undergraduate students (N = 501) completed a cross-sectional self-report survey assessing prosocial behavior, self-control, dutifulness, sociability, and cumulative grade …

Mixed Methods Insights Into Understandings Of And Stigma Towards Autism In Children And Young Adults, Natalia Gc Van Esch

Theses and Dissertations (Comprehensive)

BACKGROUND: Autism is widely stigmatized and misunderstood. Existing research using methods such as questionnaires finds that autistic individuals are often evaluated more negatively than their non-autistic counterparts. Unfortunately, this approach provides limited insight into the underlying representations of autism that individuals hold. The present study seeks to examine how children and adults define, describe, and represent autism, and how these representations relate to stigma. METHODS: In Part I, children participated in a semi-structured interview in which they defined autism and created autistic and non-autistic characters using a guided character-building task. Children then rated their characters on a series of social …

A Novel Federated Llm Framework For Distributed Traffic Modelling In Intelligent Transportation Systems, Seerat Kaur

Theses and Dissertations (Comprehensive)

Intelligent transportation systems (ITS) depend on accurate traffic prediction to support congestion management, infrastructure planning, and real-time operational decisions. Despite substantial progress in data-driven forecasting, several challenges continue to limit practical deployment: traffic data is distributed across independent regional authorities, making centralized aggregation infeasible, standard federated aggregation strategies ignore traffic-specific characteristics that meaningfully affect model quality, and existing models produce only numerical outputs without interpretable reasoning that urban planners can act upon. This thesis addresses these challenges through four contributions that collectively advance privacy-preserving, explainable, and scalable traffic forecasting.

The first contribution provides a systematic review of 129 peer-reviewed publications, …

Analysis Of Alternative Oxidase In Non-Angiosperm Plants, Anissa M. Francis

Theses and Dissertations (Comprehensive)

Alternative oxidase (AOX) is a mitochondrial terminal oxidase that provides an alternative pathway for electron transport, allowing plants to maintain respiratory flexibility under environmental stress conditions. While AOX has been extensively studied in angiosperms (flowering plants), little is known about its distribution and conservation in non-angiosperms. Based on gaps identified in the literature, this thesis investigated the distribution of AOX across non-angiosperm plant lineages. Although AOX is present in many green algae and is therefore considered to be an ancient protein that originated before the existence of non-angiosperm plants, it remains unclear whether the protein is uniformly distributed across these …

Fear Across The Map: A Cross-Municipal Analysis Of Fear Of Crime In Canada, Muhammad Ali

Theses and Dissertations (Comprehensive)

This study examines the predictors of fear of crime (FOC) across three Canadian municipalities: Hamilton, Ontario; Brantford, Ontario; and North Battleford, Saskatchewan. Data from 1,956 survey responses were analyzed to understand how certain factors shape FOC across different municipal contexts in Canada. This study uses descriptive statistics, reliability analyses, correlation matrices, and Ordinary Least Squares regression models to examine whether FOC, and the predictors of FOC, operate consistently across municipalities. The findings indicate that the predictors of FOC are relatively reliable across municipal contexts. However, the influence of the predictors of FOC can vary across municipalities. Importantly, the level of …

Timing, Targets, And Teaching: How Employee Help-Seeking Influences Downward Knowledge Sharing, Nicholle E. Kovach

Theses and Dissertations (Comprehensive)

Knowledge sharing between managers and employees is critical for employee development and organizational performance. However, managers differ in whether they share knowledge, and in the type of knowledge shared. While solution-oriented knowledge offers immediate answers to improve short-term performance, process-oriented knowledge promotes long-term learning and employee development. The purpose of my dissertation is to investigate factors that influence managers’ knowledge-sharing decisions.

I conduct two studies to investigate my predictions. In Study 1, I examine how the timing of employee help-seeking requests, the source of performance targets and employee historical performance influence the type and quality of managers’ knowledge-sharing responses. Drawing …

The Lived Experience Of Special Education Director Retention: A Phenomenological Study Of Motivational And Organizational Influences, Matthew R. Taylor

Electronic Theses and Dissertations

The stability of leadership in special education is crucial for ensuring regulatory compliance, programmatic quality, and equitable services for students with disabilities. However, U.S. public schools face persistent challenges in retaining special education directors, resulting in a loss of institutional knowledge, service fragmentation, and increased risk of compliance failure. Drawing on self-determination theory and job embeddedness theory, this phenomenological study explored the intrinsic and extrinsic aspects that influence special education directors’ decisions to remain in their roles. Ten experienced special education directors from diverse public school settings in Texas participated in semistructured interviews and follow-up quantitative questionnaires. The analysis revealed …

Faculty Perceptions Of Engaging Generation Z Students Through Positive Education In The Classroom, Ashley D. Ragsdale

Electronic Theses and Dissertations

This qualitative study examined the engagement gap between Generation Z students and faculty in higher education, emphasizing how positive education approaches can help faculty become more confident and effective instructors. Generation Z students prefer instant internet access and digital learning, have shorter attention spans, and tend to be disengaged when instructors rely on traditional teaching methods. After the COVID-19 pandemic, this engagement gap became more evident. This basic qualitative study used semistructured interviews, reflexive journaling, and nonparticipatory observations. Participants included full-time health science faculty at a private university in central Texas. Each had at least 2 years of teaching experience …

The Impact Of Synchronous And Asynchronous Preference On The Performance Of Distance Learning Students, Christopher A. Wilson

Electronic Theses and Dissertations

Distance learning is a growing part of education. The transition to distance learning was underway at higher education institutions, but the COVID-19 pandemic forced institutions of all types to rapidly transition to distance learning. The technology that was adapted during this emergency distance learning remained in the classroom once normal instruction resumed. This quantitative study examined two aspects of distance learning technology in education. The study examined student preference for either synchronous or asynchronous instruction through the framework of expectancy theory. Students who were more familiar with the course material were hypothesized to have a higher expectation of success and …

Optimal Quantization On Spherical Surfaces: Continuous And Discrete Models—A Beginner-Friendly Expository Study, Mrinal Kanti Roychowdhury

School of Mathematical & Statistical Sciences Faculty Publications

This expository paper provides a unified and pedagogical introduction to optimal quantization for probability measures supported on spherical curves and discrete subsets ofthe sphere, emphasizing both continuous and discrete settings. We first present a detailedgeometric and analytical foundation for intrinsic quantization on the unit sphere, includingdefinitions of great and small circles, spherical triangles, geodesic distance, Slerp interpolation,the Fréchet mean, spherical Voronoi regions, centroid conditions, and quantizationdimensions. Building upon this framework, we develop explicit continuous and discretequantization models on spherical curves, namely great circles, small circles, and greatcircular arcs—supported by rigorous derivations and pedagogical exposition. For uniformcontinuous distributions, we compute optimal …

Gain-Delay Decoupling In Human Stimulus Frequency Otoacoustic Emissions Reveals Constraints On Cochlear Nonlinear Amplification, Yoshita Sharma, Arturo Moleti, Renata Sisto, Teresa Botti, Hansapani Rodrigo, Sri Mishra

School of Mathematical & Statistical Sciences Faculty Publications

Purpose: The nonlinear cochlear amplifier, driven by outer hair cells, underlies the remarkable sensitivity and frequency selectivity of the mammalian auditory system. Stimulus frequency otoacoustic emissions (SFOAEs) provide a noninvasive window into these active cochlear processes, yet the relationship between emission gain and delay across stimulus levels remains incompletely understood. This study examined the level dependence of SFOAEs in normal-hearing human listeners to characterize cochlear nonlinear response properties. We tested how emission gain and delay vary with stimulus level and estimated the frequency of the apical–basal transition associated with the breakdown of the approximate local scaling symmetry.

Methods: SFOAEs were …

Performance Analysis And Optimization Of Fructose Memristor-Based Neuromorphic Systems, Harshvardhan Uppaluru, Shakil Mahmud Jiban, Shah Zayed Riam, Feng Zhao, Jinhui Wang

Electrical and Computer Engineering Faculty Research & Creative Works

Natural organic memristors have demonstrated promising synaptic behavior, positioning them as strong candidates for synaptic devices in neuromorphic systems. This paper presents the fabrication and evaluation of a neuromorphic system based on natural organic 16-level and 32-level fructose memristors. First, the manufacturing process of fructose memristors is described in detail. Second, the nonlinear property associated with fructose memristors is investigated, and an optimization method is applied to address the nonlinear effects. The performance of the fructose memristor-based neuromorphic system on MNIST with a multi-layer perceptron and on CIFAR-10 with VGG-8 is evaluated and reported under various conditions -with/without nonlinearity optimization …

Rf-Attennet: A Hybrid Attention-Enhanced Network For Mixed Signal Classification In Uav Swarm Detection, Prajoy Podder, Mohammad Atikur Rahman, Maciej Zawodniok, Sanjay Madria

Electrical and Computer Engineering Faculty Research & Creative Works

The continuous increase of UAVs, particularly in swarms, creates significant challenges for security and airspace regulation. Traditional RF fingerprinting methods struggle to detect and classify UAV swarms due to overlapping signals and interference. This study introduces RF-AttenNet, a hybrid deep learning model designed to classify mixed UAV signals by analyzing composite RF spectrograms. RF-AttenNet uses dual attention mechanisms, channel and spatial attention to focus on critical spectral features, enabling the model to effectively separate and identify overlapping UAV signals. We have developed custom composite UAV datasets that simulate real-world swarm interference, incorporating both single and mixed UAV classes. RF-AttenNet achieves …

Sapphire Optical Fiber Bragg Grating Sensors Based On Dispersive Microwave-Photonic Frequency-Time Domain Analysis, Ruimin Jie, Chen Zhu, Farhan Mumtaz, Koustav Dey, Bohong Zhang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Sapphire fiber Bragg gratings (SFBGs) have attracted growing interest for high temperature sensing in harsh environments, yet their interrogation typically relies on optical spectrum measurements, demanding a high-resolution optical spectrum analyzer (OSA) that is bulky, expensive, and constrained in acquisition speed. Moreover, the inherently multimode nature of sapphire fiber further complicates spectrum-based demodulation, thereby limiting the achievable sensing resolution. In this paper, we propose and experimentally demonstrate a microwave-photonic interrogation approach for SFBG sensors. Instead of measuring the optical reflection spectrum, the complex frequency response in the microwave domain of an SFBG is acquired using a vector network analyzer (VNA) …

Resolving Stiffness Trade-Offs In Simultaneous Pressure And Vibration Sensing Using A Corrugated-Tube Fiber-Optic Sensor, Yizheng Chen, Yan Tang, Jie Huang, Qi Zhang, Biyao Shi, Zewei Wu

Electrical and Computer Engineering Faculty Research & Creative Works

This article proposes and experimentally demonstrates a corrugated-tube-based fiber-optic sensor capable of measuring pressure, vibration, or both simultaneously. To address the limited sensitivity of conventional diaphragm-based designs, the sensor incorporates an optimized corrugated tube that balances the conflicting stiffness requirements for pressure and vibration measurements. The corrugated tube, acting as a mechanical transducer, is integrated with an extrinsic fiber-optic Fabry–Perot interferometer (EFPI). The EFPI cavity is formed between a reflective surface at the sealed end of the corrugated tube and the cleaved end face of an optical fiber fixed within a mounting assembly. In this configuration, displacement of the corrugated …

Transformer-Customer Relationship Identification Based On Load-Switching Fluctuation Characteristics Considering Same-Feeder-Adjacent-Transformer Condition, Yanan Zhang, Gan Zhou, Yuyuan Liu, Wei Gu, Yanjun Feng, Yujue Wang, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

Accurately identifying the connectivity between transformers and downstream three-phase customers in low-voltage distribution networks is challenging, because voltage curves of different phases and nearby nodes can be weakly distinguishable, especially when adjacent transformers on the same feeder serve geographically close customers with highly similar voltage curves. This paper proposes a novel method based on load-switching fluctuation characteristics recorded by smart meters. By extracting localized current and voltage fluctuations and establishing correlation matching, the method overcomes the limited discriminability using steady-state measurements. The method operates in two stages: first, switching-induced fluctuation characteristics are extracted and matched to cluster customers by the …

Lidar-Based Framework For Detecting Suspicious Human Activities, Ahd Aljumah, Charalampos Antoniadis, Hakim Ghazzai, Nawfal Guefrachi, Ahmad Alsharoa, Gianluca Setti

Electrical and Computer Engineering Faculty Research & Creative Works

This study explores the development of Human Activity Recognition (HAR) systems capable of identifying suspicious activities to enhance security in public spaces. We propose an innovative solution that integrates LiDAR sensors with deep learning technologies. Our method employs advanced models operating on LiDAR point cloud, PV-RCNN for human detection, and LidarGait++ for classifying activities into categories such as standing or walking (non-suspicious) and sneaking or fighting (suspicious). Due to the scarcity of suitable real-world datasets for training such systems, we utilize a 3D simulation tool, Blender, to create realistic environments and generate labeled point cloud data. This synthetic dataset allows …

Waveguide-Assisted Single-Mode Fiber Bragg Gratings In A Highly Multimode Coreless Fiber Via Femtosecond Laser Inscription For Extreme Temperature Quasi-Distributed Thermal Sensing, Farhan Mumtaz, Koustav Dey, Bohong Zhang, Jeffrey D. Smith, Ronald J. O'Malley, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This research reports a potential quasi-distributed thermal mapping optical sensing system for extreme temperatures, leveraging femtosecond (fs) laser inscribed single-mode fiber Bragg gratings (FBGs) and a waveguide within coreless, highly multimode optical fiber, resulting in a single-mode structure. Unlike doped single-mode fibers, coreless fibers composed of silica rods prevent issues associated with dopant migration and ensure data accuracy. The strategic placement of point-by-point FBGs in a cascaded formation on the fs-laser inscribed waveguide facilitates localized multipoint sensing. The long-term stability of the proposed waveguide-assisted FBG system was assessed over 24 hours at elevated temperatures (1000°C), showing no hysteresis during heating …

Mindful Diagnostics In Culture-Negative Endocarditis: Early Noninvasive Diagnosis Of Tropheryma Whipplei By Plasma Microbial Cell-Free Dna, Ashita Jain, Sarwat Khalil, Muhammad R Sohail, Laura C Lelenwa, Enrique Garcia-Sayan, Kenneth K Liao, Ahmed Hamdi, Todd Lasco, Mayar Al Mohajer

Faculty, Staff and Students Publications

Tropheryma whipplei was identified by plasma microbial cell-free DNA sequencing within 4 days in severe culture-negative endocarditis after antibiotics had already been started. The result supported earlier diagnostic clarification and antimicrobial de-escalation before valve pathology was available, illustrating a practical diagnostic-stewardship role for noninvasive sequencing in high-acuity endocarditis.

Sewers To Solutions: A Guide To Wastewater Pathogen Monitoring, Justin R Clark, Anthony W Maresso

Faculty, Staff and Students Publications

Wastewater-based epidemiology (WBE) is the analysis of wastewater to detect pathogen levels or activity for public health awareness or action. Pioneered in the 1940s, WBE underwent a resurgence during the COVID-19 pandemic, providing important information about number of cases, outbreaks, and seasonal impact. With advancements in detection technologies and growing interest in environmental surveillance, WBE is poised to become a standard practice in public health monitoring. Here, we provide an overview of the current state of the art of pathogen WBE, including methods of molecular detection, analysis of wastewater data, real-world applications and programs, public health interventions, and benefits and …

In Vivo Volumetric Visualization And Quantification Of Cumulus Expansion In Mice With Intravital Optical Coherence Tomography, Kohei Umezu, Frank J Brooks, Irina Larina

Faculty, Staff and Students Publications

Ovulation is preceded by a critical physiological process known as cumulus expansion, during which the cumulus cell layer surrounding the oocyte undergoes structural remodeling. Despite the recognized importance of this process for reproductive success, live quantitative imaging of cumulus expansion has not been previously achieved due to limitations of current imaging technologies for deeply located ovaries. In this study, we employed intravital optical coherence tomography for three-dimensional visualization of mouse follicles containing cumulus-oocyte complexes (COC) within the physiological context of the ovary, both ex vivo and in vivo. This method enabled time-lapse measurement of cumulus layer thickness and COC …

Survodutide For Treatment Of Obesity: Baseline Characteristics Of Participants In A Randomized, Double-Blind, Placebo-Controlled, Phase 3 Trial (Synchronize™-1), Carel W Le Roux, Sean Wharton, Biykem Bozkurt, Elke Platz, Gabriele Bleckert, Samina Ajaz Hussain, Martina Brueckmann, Elena Startseva, Isabel M Kloer, Lee M Kaplan

Faculty, Staff and Students Publications

Aims: Survodutide, a novel glucagon receptor and glucagon-like peptide-1 (GLP-1) receptor dual agonist, elicited significant weight loss in a phase 2 trial in individuals with obesity without type 2 diabetes (T2D). Two multinational phase 3 trials are investigating survodutide for obesity management in individuals with or without T2D. We report the baseline characteristics of participants in the SYNCHRONIZE-1 trial in adults with obesity without T2D (ClinicalTrials.gov: NCT06066515).

Materials and methods: Participants aged ≥18 years with BMI ≥30 or ≥27 kg/m2 with ≥1 obesity complication without T2D were randomized 1:1:1 to double-blind, once-weekly, subcutaneous injections of survodutide (up-titrated to 3.6 …

Cultured Ex Vivo Human Brain Tissue Maintains Cell-Type Transcriptional Identities, J P Mcginnis, Sai Mallannagari, Maria Camila Guevara, Joshua Ortiz-Guzman, Benjamin D W Belfort, Suyang Bao, Snigdha Srivastava, Maria Morkas, Emily Ji, Kalman A Katlowitz, Angela Addison, Evelyne K Tantry, Carrie A Mohila, Melissa M Blessing, Nisha Gadgil, Samuel G Mcclugage, David F Bauer, William E Whitehead, Guillermo Aldave, Omar Tanweer, Naser Jaleel, Ali Jalali, Akash J Patel, Sameer A Sheth, Howard L Weiner, Shankar Gopinath, Ganesh Rao, Akdes Serin Harmanci, Daniel Curry, Benjamin R Arenkiel

Faculty, Staff and Students Publications

There is growing recognition of the need for human-based models of the nervous system and its diseases. Studies have investigated the electrophysiological properties of neurons in ex vivo human brain tissue, but the maintenance of other cell types remains unclear. We therefore used single-nucleus RNA sequencing of six patient samples to determine how well various cell types maintain their transcriptional identities over two weeks in organotypic slice culture (day 0, with 83 501 nuclei, and day 14, with 45 738). For each patient sample (two pediatric temporal lobectomies, one adult frontal cortex, two glioblastomas, and one medulloblastoma), we generated correlations …

Disrupted Intrathalamic And Thalamocortical Structural Covariance Networks In Posttraumatic Stress Disorder, Nick Steele, Ahmed Hussain, Delin Sun, C Lexi Baird, Courtney Russell, Neda Jahanshad, Lauren E Salminen, Miranda Olff, Jessie L Frijling, Dick J Veltman, Saskia B J Koch, Laura Nawijn, Mirjam Van Zuiden, Li Wang, Ye Zhu, Gen Li, Dan J Stein, Jonathan Ipser, Sheri Koopowitz, Yuval Neria, Xi Zhu, Orren Ravid, Sigal Zilcha-Mano, Amit Lazarov, Benjamin Suarez-Jimenez, Ashley A Huggins, Jennifer Stevens, Kerry Ressler, Tanja Jovanovic, Sanne J H Van Rooij, Negar Fani, Emily L Dennis, David F Tate, David X Cifu, William C Walker, Elisabeth A Wilde, Ivan Rektor, Pavel Říha, Milissa L Kaufman, Lauren A M Lebois, Justin T Baker, Anthony King, Israel Liberzon, Mike Angstadt, Nicholas D Davenport, Seth G Disner, Scott R Sponheim, Thomas Straube, David Hofmann, Guang Ming Lu, Rongfeng Qi, Amit Etkin, Adi Maron-Katz, Xin Wang, Austin Kunch, Hong Xie, Yann Quidé, Wissam El-Hage, Shmuel Lissek, Hannah Berg, Steven E Bruce, Josh Cisler, Marisa Ross, Ryan Herringa, Daniel W Grupe, Jack B Nitschke, Richard J Davidson, Christine Larson, Terri A Deroon-Cassini, Carissa W Tomas, Jacklynn M Fitzgerald, Brandee Feola, Jennifer U Blackford, Bunmi O Olatunji, Geoffrey May, Steven M Nelson, Evan M Gordon, Chadi G Abdallah, Ruth Lanius, Maria Densmore, Jean Théberge, Richard W J Neufeld, Paul M Thompson, Rajendra A Morey

Faculty, Staff and Students Publications

The thalamus is a heterogeneous structure crucial for corticocortical communication, affective–perceptual integration, motor preparation, and memory-related functions. Posttraumatic stress disorder (PTSD) is characterized by various symptoms that likely relate to thalamic functions. Group-level and individual differential structural covariance (SC) analyses were conducted on intrathalamic, thalamocortical, and thalamosubcortical volumetric networks by segmenting structural MRI data from 2,784 subjects (PTSD n = 1,306; controls n = 1,478) into 25 thalamic nuclei per hemisphere. We found that PTSD was associated with stronger intrathalamic and thalamocortical network strength and stronger SC between the limbic thalamus and the somatomotor and auditory thalamus. PTSD severity was …

Tuberculosis Presenting As Multiple Pulmonary Nodules Mimicking Malignancy, Abdel Martinez Borrego, Fatimah Bello, Brandon Cantazaro, Luisa Montoya, Frank Mediola

School of Medicine Publications

Multiple pulmonary nodules often raise concern for metastatic malignancy; however, the differential diagnosis is broad and includes infectious, inflammatory, granulomatous, vascular, and benign etiologies. Tuberculosis (TB), although uncommon, can present with multiple nodules that closely mimic metastatic disease on advanced imaging, requiring careful clinicoradiologic and microbiologic correlation. We describe a woman in her 50s who presented with dyspnea and new-onset heart failure, in whom imaging revealed mediastinal lymphadenopathy and bilateral pulmonary nodules concerning for malignancy. Evaluation was limited by concurrent COVID-19 infection, and CT-guided biopsy demonstrated necrotizing granulomas without evidence of malignancy or infection. She later re-presented with fever and …

3d Geometric Modelling And Clinical Validation Of Lower Limb And Preliminary 2-Year Post-Operative Clinical Outcomes Of Neutral Boundary Alignment In Total Knee Arthroplasty, Bruno Violante, Lorenzo Deveza, Francesco Pollara, Giovanni Rusconi, Gianroberto Ferreri, Alessandro Annibaldi, Ilwhan Park

Faculty, Staff and Students Publications

Purpose: To introduce a novel three-dimensional (3D) modelling concept for lower limb alignment in total knee arthroplasty (TKA), termed neutral boundary alignment (NBA) and to present preliminary clinical data supporting this physics-based custom alignment strategy.

Methods: NBA is defined as the alignment at which the knee joint line is parallel to the ground during the mid-stance phase of gait, achieving static equilibrium with the NBA axis aligned to gravity. A theoretical geometric model of the lower limb was developed, integrating principles of physics to describe this condition. Preliminary clinical validation was performed using radiographic data from an initial cohort of …

Professionalism In Practice: A Novel Approach To Integrating Small Doses Of Case-Based Professionalism Education Into Monthly Grand Rounds., Allison H Taylor, Andrew Caruso, Kelley Arredondo, Ellen M Friedman, Stacey R Rose

Faculty, Staff and Students Publications

Introduction: Professionalism is a critical construct across the health professions, though learners and faculty report feeling underprepared to navigate difficult situations; education in professionalism is challenged by the absence of a universal definition, time constraints due to overcrowded curricula, and the lack of consistent messaging to learners and faculty.

Methods: Professionalism in Practice (PiP) was developed to provide small doses (∼5 minutes) of case-based professionalism education as part of an existing educational forum (Grand Rounds) to optimize attendance of both learners and faculty. Each vignette highlighted a common professionalism challenge and was aligned with an AAMC professional competency. Sessions were …

Efficacy And Safety Of Pyrimidine Nucleos(T)Ide Therapy In Thymidine Kinase 2 Deficiency, Michio Hirano, Caterina Garone, Richard Haas, Carmen Paradas, Fernando Scaglia, Irene Rebollo Mesa, Carl Chiang, Anny-Odile Colson, Susan Vanmeter, Cristina Domínguez-González

Faculty, Staff and Students Publications

Thymidine kinase 2 deficiency (TK2d) (MIM 609560) is an ultra-rare, autosomal recessive mitochondrial myopathy caused by TK2 variants, leading to mitochondrial DNA depletion and/or multiple deletions. People with thymidine kinase 2 deficiency experience progressive myopathy, bulbar weakness and respiratory insufficiency, often losing the ability to walk, eat and breathe independently. Doxecitine and doxribtimine represents the first approved treatment for patients with thymidine kinase 2 deficiency with age of symptom onset ≤12 years by the US Food and Drug Administration and the European Medicines Agency; previously, disease management was limited to supportive care. We investigated the efficacy and safety of pyrimidine …

The Words Community Dwelling, Spanish-Preferring Mexican/Mexican American Adults Use To Talk About Alzheimer’S Disease And Genetic Testing: Implications For Education And Outreach, Jamie C Fong, Fatima I Chavez, Karla Silos, Mirna L Arroyo-Miranda, Gabriela Castro Castro, Mark E Kunik, Joshua M Shulman, Luis D Medina

Faculty, Staff and Students Publications

Introduction: Hispanic/Latino (H/L) adults are more likely than non-Hispanic White individuals to have Alzheimer's disease (AD), yet fewer than one in five H/L adults has apolipoprotein E (APOE) Ɛ4, underscoring gaps in understanding genetic risk across H/L heritage groups. H/L adults remain underrepresented in AD research that uses genetic data for participant stratification. To inform culturally appropriate educational materials for 16 million U.S. Spanish speakers, we identified culturally salient words Spanish-preferring H/L adults use to describe AD and genetic testing beyond APOE.

Methods: Community-residing, Spanish-preferring Mexican/Mexican American adults (n = 14) completed freelisting interviews, a method eliciting …

Proceedings Of The 13th Annual Deep Brain Stimulation Think Tank: The Evolving Landscape, Chance R Fleeting, Eduardo M Moraud, Kamil Uğurbil, Doris D Wang, Wolf-Julian Neumann, Andrea A Kühn, Valerie Voon, Victor Pikov, Marie-Laure Welter, Michael D Fox, John D Rolston, Mahsa Malekmohammadi, Yagna J Pathak, Lyndahl M Himes, David Greene, Abbey S Holt-Becker, Gabriel Lázaro-Muñoz, Alexander W Charney, Amanda R Merner, Martijn Figee, Katherine W Scangos, Timothy Denison, Kent Leyde, Aysegul Gunduz, Helen M Bronte-Stewart, James C Beck, Nora Vanegas-Arroyave, Marta San Luciano, Norbert Brüggemann, Kelly D Foote, Michael S Okun, Joshua K Wong

Faculty, Staff and Students Publications

The Deep Brain Stimulation (DBS) Think Tank XIII was held September 2-4th, 2025, in Gainesville, Florida, at the Norman Fixel Institute for Neurological Diseases at the University of Florida. The theme was "The Evolving Landscape of DBS: New Indications, New Goals." This theme was a continuation of the DBS Think Tank XI and XII, which were focused on emerging technology and pushing the horizon of indications. Since its founding in 2012, the DBS Think Tank has provided a global forum for leading clinicians, engineers, and researchers in both in industry and academia to present, discuss, and debate the current state …