Digital Commons Network^™

Curriculum Innovation: Training The Front Line: A Neurologic Emergencies Curriculum Pilot For First Responders, Tamia V Garrett, Shivika Chandra, Sushanth Aroor, Cristy Autry, Varsha Muddasani, Mahan Shahrivari, Brandy Davis, Mark Martyn, Dana M Woodward, Amanda L Jagolino-Cole

Faculty, Staff and Student Publications

Background and objectives: Emergency medical services (EMS) clinicians play a critical role in early identification and management of neurologic emergencies yet may encounter sparse neurology-specific education. With interprofessional collaboration, we developed a multimodal, active-learning, and experiential curriculum for teaching prehospital care in a neurologically underserved setting. We evaluated curriculum feasibility and impact on prehospital neurologic assessment. The objectives of this study were to (1) recognize signs and symptoms of neurologic emergencies, aiding in the formulation of a prehospital differential diagnosis; (2) appraise patient encounter data for incorporation into prehospital medical decision making and facilitation of interprofessional communication and continuity of …

[Factors Associated With Adhd Medication Adherence And Treatment Outcomes, Hali Temkin, Kerri L Daniel, Diana Martinez, Julia C Bennett, Paris A Nix, Linh Nguyen, Yen-Chi Le, Bruno Kluwe-Schiavon, Cesar A Soutullo

Faculty, Staff and Student Publications

Introduction: Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that affects 5 to 8% of youth and 2.5 to 4% of adults. Pharmacological treatments are among the most effective when treating ADHD, yet adherence to medication is still sub-optimal. We reviewed the literature on clinical and socio demographic factors that may influence adherence and compared it to our clinical data.

Methods: We conducted a targeted literature review on factors associated with ADHD medication adherence. These factors were compared within our sample of patients aged 3-18 with ADHD at the Child and Adolescent Mood Disorders Program (ChAMP) at (UT Health) - Houston. …

Reconstruction Of A Composite Heel Defect Using Achilles Tendon Allograft And Latissimus Dorsi Free Flap: Case Report And Literature Review, Georgios Karamitros, Carolyn Drogt, Stephen J Warner, Michael P Grant, Gregory A Lamaris

Faculty, Staff and Student Publications

Background: Composite heel defects involving the Achilles tendon and overlying soft tissue are rare and technically demanding. Successful management requires restoration of tendon continuity and durable coverage. We reviewed the literature and presented a representative case to illustrate current strategies.

Methods: A literature review of 28 studies that reported outcomes of Achilles tendon reconstruction with concomitant soft tissue coverage was performed. Tendon restoration techniques(allografts, autografts, vascularized grafts) and flap types (muscle and fasciocutaneous) were analyzed for functional recovery, complication rates, and donor-site morbidity. Additionally, we report the case of a 14-year-old woman with a 7-cm Achilles tendon defect and full-thickness …

Development And Initial Testing Of An Online Security Prime Writing Intervention During Covid-19, Angie S Leroy, Andreas Weyland, Jade Kanemitsu, Arya Tsay-Jones, Vincent D Lai, E Lydia Wu-Chung, Nyla Vela, Amanda Perozo, Valentina I Maza, Sierra Wickline, Katherine Beach, Robert Suchting

Faculty, Staff and Student Publications

Background and objectives: During the COVID-19 pandemic, we tested the efficacy of a one-week online security prime (SP) writing intervention in reducing distress among 254 adults (60+ years and/or having an underlying health condition). The efficacy of writing interventions can depend on several factors. Attachment orientations, characterized by dimensions of anxiety and avoidance, reflect individuals' tendencies in how they seek proximity to and rely on others for support, and influence how people experience and regulate their emotions.

Design and methods: Participants were randomly assigned to one of three conditions: Security Priming (SP), where people wrote about what made them feel …

Childhood Pulmonary Outcomes After Late Preterm Antenatal Corticosteroids, Cynthia Gyamfi-Bannerman, Rebecca G Clifton, Robert A Wise, Alan T N Tita, Jessica A De Voest, Sharon A Mcgrath-Morrow, Elizabeth C Matsui, Sean C Blackwell, Monica Longo, Sabine Z Bousleiman, Felecia Ortiz, Sankaran Krishnan, Dwight J Rouse, Torri D Metz, George R Saade, Maged M Costantine, Kent D Heyborne, John M Thorp, Kelly S Gibson, Geeta K Swamy, William A Grobman, Yasser Y El-Sayed, George A Macones, Eunice Kennedy Shriver National Institute Of Child Health And Human Development Maternal-Fetal Medicine Units Network And The National Heart, Lung, And Blood Institute

Faculty, Staff and Student Publications

Objective: To evaluate whether antenatal betamethasone affects childhood respiratory impairment.

Methods: This was a prospective follow-up study of children aged 6 years and older from parents in the ALPS (Antenatal Late Preterm Steroids) trial randomized to betamethasone or placebo from 34 0/7 to 36 6/7 weeks of gestation. Primary outcome composite included the following: 1) abnormal spirometry, forced expiratory volume in 1 second (FEV 1 ) below the lower limit of normal, FEV 1 /forced vital capacity (FVC) below the lower limit of normal, or FVC below the lower limit of normal, defined as below the 5th percentile by the …

Perioperative And Follow-Up Tcar Outcomes Of A Single Institution, Shah-Jahan M Dodwad, Hanaa Dakour-Aridi, Gordon H Martin, Naveed U Saqib, Akiko Tanaka, Arash Keyhani, Kourosh Keyhani, S Keisin Wang

Faculty, Staff and Student Publications

Background: The ARIES-HM3 trial demonstrated the safety and effectiveness of aspirin elimination from the antithrombotic regimen after HeartMate 3 (HM3) left ventricular assist device (LVAD) implantation. We explored the interaction of atrial fibrillation, diabetes mellitus, and obesity (AF/DM/Ob) with aspirin elimination on hemocompatibility-related adverse events at 1-year postimplant.

Methods: This prospective, double-blind, placebo-controlled trial randomized patients with an HM3 LVAD implant to receive aspirin (100 mg/d) or placebo, in addition to a vitamin K antagonist. The primary endpoint was survival free of nonsurgical (>14 days postimplant) hemocompatibility-related adverse events, including stroke, pump thrombosis, bleeding, and arterial peripheral thromboembolism at …

Evaluation Of Large Language Models As Decision Support Tools For Head And Neck Cancer Management: A Blinded Multidisciplinary Simulation Study, Sholem Hack, Ron J Karni, Antonino Maniaci, Christopher E Fundakowski, Luca Castellani, Fabiola Incandela, Remo Accorona, Miguel Mayo-Yanez, Martina Violati, Lorenzo Giannini, Niccolo' Mevio, Alberto Maria Saibene

Faculty, Staff and Student Publications

Background: The management of head and neck cancer relies on multidisciplinary expertise; however, access to tumor boards remains variable. Large language models (LLMs) may support guideline-based decision-making, although performance in complex oncologic scenarios is not well defined.

Methods: Fourteen synthetic cases based on real tumor board encounters were evaluated. Five blinded comparator arms produced recommendations: a human expert, Non-RAG-GPT-4, Non-RAG-GPT-5, RAG-GPT-4, and RAG-GPT-5. Eight head and neck oncologic surgeons scored each recommendation for appropriateness, clarity, specificity, and feasibility using 5-point Likert scales. Paired permutation testing and inter-rater reliability were assessed.

Results: LLM outputs showed close alignment with expert recommendations. RAG-based …

Influence Of Pullback Pressure Gradient On Residual Angina At One Year, Takuya Mizukami, Kazumasa Ikeda, Daniel Munhoz, Koshiro Sakai, Jeroen Sonck, Hitoshi Matsuo, Toshiro Shinke, Hirohiko Ando, Brian Ko, Simone Biscaglia, Fernando Rivero, Thomas Engstrøm, Antonio Maria Leone, Lokien X Van Nunen, William F Fearon, Evald Høj Christiansen, Stephane Fournier, Liyew Desta, Andy Yong, Julien Adjedj, Javier Escaned, Masafumi Nakayama, Ashkan Eftekhari, Frederik M Zimmermann, Tatyana Storozhenko, Frédéric Bouisset, Domenico Galante, Bruno R Da Costa, Gianluca Campo, Colin Berry, Damien Collison, Tetsuya Amano, Divaka Perera, Allen Jeremias, Ziad A Ali, Ethan Korngold, Eric Wyffels, Adriaan Wilgenhof, Nico Pijls, Bernard De Bruyne, Nils P Johnson, Carlos Collet

Faculty, Staff and Student Publications

Background: The pullback pressure gradient (PPG) is a novel physiological metric that quantifies coronary artery disease patterns as focal or diffuse on a scale from 0 to 1. This study assessed the relationship between PPG and residual angina at 1 year.

Methods: PPG Global is a prospective, investigator-initiated, single-arm, multicenter study that enrolled patients with at least 1 lesion with a fractional flow reserve ≤0.80 intended to be treated with percutaneous coronary intervention. After the PPG calculation, physicians could revise treatment assignment to medical therapy or coronary artery bypass graft surgery instead of percutaneous coronary intervention. Focal and diffuse disease …

An Artificial Intelligence Model For Electrocardiogram Detection Of Occlusion Myocardial Infarction: A Retrospective Study To Reduce False-Positive Cath Lab Activations, Benjamin L Cooper, Evan A Genova, Carrie A Bakunas, Catherine E Reynolds, Benjamin Karfunkle, Nils P Johnson

Faculty, Staff and Student Publications

Aims: Existing ST-segment elevation myocardial infarction (STEMI) alert pathways that rely on traditional STEMI criteria perform suboptimally. We aimed to evaluate the diagnostic performance of an artificial intelligence (AI) model to detect acute occlusion myocardial infarction (OMI) from the routine 12-lead electrocardiogram (ECG) and, specifically, its potential to reduce false-positive activations.

Methods and results: Consecutive adults managed via the STEMI pathway were included from a tertiary academic medical centre between January 2022 and December 2023. Cases without an available ECG for review, death prior to catheterization, or alternative reasons for activation (i.e. electrical instability or urgent interventions) were excluded. Pre-coronary …

High Accuracy Stool Biomarkers Of Precancerous Colorectal Cancer Identified Using A 2000-Plex Immunoproteomic Screen, Kamala Vanarsa, Jessica Castillo, Hao Li, Kala T Pham, Maria Akter, Sravya Gude, Kyung Hyun Lee, Claudia Pedroza, Robert Bresalier, Nicholas Chia, Chandra Mohan

Faculty, Staff and Student Publications

Given the morbidity and mortality associated with colorectal cancer (CRC), novel biomarkers are clearly warranted, especially for early detection. An antibody-based screen of 2000 proteins was utilized to identify stool proteins that were elevated in patients with CRC, compared with healthy controls (HCs). Thirty-seven lead candidates were selected for ELISA validation in three independent cohorts comprised of CRC patients, advanced adenoma patients, and HCs, drawn from two different ethnicities. Of the 2000 proteins interrogated, 116 were differentially expressed in CRC stool, with 45 being elevated at twofold or higher; 37 of these proteins were selected for ELISA validation in three …

A Patient-Derived Organ-On-Chip Platform For Modeling The Tumor Microenvironment And Drug Responses In Pancreatic Cancer, Darbaz Adnan, Natan Roberto De Barros, Luca S Santovito, Xuhong Cheng, Kristi M Lawrence, Mariah K Barnett, Martine D Boetto, Neal Mehta, Ajaypal Singh, Lin Cheng, Xiangsheng Huang, Faraz Bishehsari

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) is a fatal malignancy. Current conventional chemotherapeutics are inadequate in controlling the disease; hence, there is an urgent need for precision medicine. Ex vivo models that replicate the tumor and its microenvironment can advance precision medicine in PDAC. Patient‐derived organoids (PDOs) offer a promising solution by retaining the functional features of the tumor, allowing for individualized study of cancer biology and drug response. However, PDOs fall short in replicating the tumor microenvironment (TME), which includes various stromal and immune cells influencing tumor growth and chemoresistance. We hypothesize that combining PDO technology with organ‐on‐a‐chip (OoC) systems can …

Severe Renal Phenotype Across A Multigenerational Tuberous Sclerosis Complex (Tsc) Family, Elena Tuller, Joshua A Samuels, Hope Northrup, Kate Richardson

Faculty, Staff and Student Publications

Background: Tuberous sclerosis complex (TSC) is an autosomal dominant genetic disorder characterized by the formation of hamartomas in the brain, kidney, and heart, along with other complex clinical manifestations, including TSC-associated neuropsychiatric disorder (TAND). Development of genotype-phenotype correlations within TSC can aid clinicians in providing prognostic data and improve clinical management. We present here a multigenerational family who has a pathogenic variant in TSC2 displaying a severe renal phenotype.

Methods: A 23-year-old Caucasian male (Patient 1) was determined to have a molecularly confirmed diagnosis of TSC at approximately 2 months of age. The nonsense pathogenic variant (c.1372C>T (p.Arg458*)) in …

Disposition At Equipoise: A Qualitative Study Of Emergency Physicians' Decision-Making About Hospitalizing People With Dementia, Anita N Chary, Annika R Bhananker, Rebecca Franks, Jason Bowman, Adrian D Haimovich, Victoria Martell, Elizabeth M Schoenfeld, Cameron J Gettel, Shan W Liu, Kei Ouchi, Maura Kennedy, Aanand Naik, Manish N Shah

Faculty, Staff and Student Publications

Background: People with dementia are often hospitalized from the emergency department (ED) for conditions that could potentially be treated in the outpatient setting. In scenarios of clinical equipoise-where either admission or discharge may be appropriate-little is known about how emergency physicians make disposition decisions.

Methods: We conducted a qualitative study with attending emergency physicians at a single academic medical center. Interviews included open-ended questions about disposition decision-making in general as well as structured case scenarios using a think-aloud protocol. We used an inductive approach to code interview data and elucidate themes about the factors emergency physicians consider in disposition decisions …

Advancing Activated Carbon Production: Utilizing Pine Pruning Biochar Via Induction Heating With Co2and Iron-Based Catalysts, Ahmet Erdem, Muthanna H. Al-Dahhan, Ahmed Jasim

Chemical and Biochemical Engineering Faculty Research & Creative Works

This study introduces an induction heating approach for producing activated carbon from biochar obtained by thermal degradation of pine pruning waste from timber-related industries, using CO₂ and iron-based catalysts as activation agents. Activation experiments were performed using a 10 kW high-frequency induction system (28–40 kHz) under continuous CO₂ flow (15 mL min⁻¹), with electric current intensities of 200, 300, 400, and 500 A (corresponding to 700–1100°C) and durations of 30, 60, and 90 min, employing 45 g of iron-based catalysts (Fe–Ni–Ti–C, 85:6:3:6 wt.%) per 3 g biochar (15:1 w/w). Mass loss increased from 13.7 % (200 A, …

The Effect Of Reduction Of Input-Parameters On Data-Driven Prediction Of Critical Heat Flux In Rod Bundles Using Extended Parameters For Reactor Thermal–Hydraulic Safety, Rehan Zubair Khalid, Atif Khan, Farooq Ahmad, Muthanna H. Al-Dahhan, Atta Ullah

Chemical and Biochemical Engineering Faculty Research & Creative Works

Accurate prediction of the critical heat flux (CHF) is a key pillar for ensuring both the safety and economic performance of nuclear reactors. While machine learning (ML)-based methodologies have demonstrated considerable success in predicting CHF, most existing studies have been confined to simplified geometries, such as single tubes. Conversely, limited attention has been devoted to CHF prediction in realistic reactor environments, particularly within rod bundle configurations, where complex multiphase flow and heat transfer phenomena prevail. In this work we develop different AI models based on large dataset operating conditions as well as the complex geometric features of rod bundles. The …

Sustainable Pathways For Fish Waste Oil Valorization Into Biofuel: Process Synthesis And Case Study, Hany A. Elazab, Radhi H. Alazmi, Abdelrahman El-Bagalaty, Hossam Tammam, Mahmoud El-Sayed, Mohamed Omar, Fathi Shokry, Mamdouh A. Gadalla, Fatma H. Ashour, Thokozani Majozi

Chemical and Biochemical Engineering Faculty Research & Creative Works

Biodiesel is a promising, sustainable alternative to fossil fuels such as petrol and diesel. Currently, biodiesel can be produced from edible plant oils and non-edible sources and wastes. Notably, fish waste oil is a sustainable resource for transesterification reactions to produce biodiesel. This research proposes a general process design methodology to investigate the potential of biodiesel production from fish waste oil as a pathway for waste-to-energy. The methodology integrates Pinch Analysis principles and process simulation to optimize the energy efficiency of a process design. Real data are collected on fish waste from fish industries in Egypt, focusing on three regions …

Remedying Copyright For Indigenous Australians: A Stolen Generations Perspective, Elizabeth Serventy, Koutras

Research outputs 2022 to 2026

This study presents a Judicial Intersectionality method that incorporates knowledge from arts, humanities, natural sciences, and social sciences. It aims to examine how historical legal, political, and social injustices against Indigenous Australians have persisted in various spheres. When considering the Stolen Generations period, attention is directed on addressing the existing insufficient copyright rights and enhancing future legal results for Indigenous artists. In order to achieve that objective, a unique and distinct copyright system is regarded as the most suitable resolution. Philosophically and pragmatically, this approach was aligned with the Australian Government's 2023 Referendum, which aimed to grant constitutional status to …

Can’T Get Work Off My Mind: The Effect Of Nonwork Goal Reflection On After-Work Rumination And Well-Being, Trevor A. Foulk, Min-Hsuan Tu, Michael Schaerer, Amber Johnson

Research Collection Lee Kong Chian School Of Business

Many employees lament that their inability to stop ruminating about work during nonwork time is one of their most significant work-related challenges, yet limited research has articulated actionable strategies to address this issue on a day-to-day basis. Integrating goal shielding theory with rumination theory, our model introduces nonwork goal reflection as a deliberate behavioral intervention employees can engage in to curtail work-related rumination, in a way that facilitates well-being during nonwork time. Specifically, we argue that engaging in nonwork goal reflection—where employees intentionally reflect on nonwork goals to be completed during their nonwork time—can curtail work-related rumination and is associated …

Expanding Public Health Insurance To Parents: Effect On Parents' And Children’S Well-Being, Michelle Marcus, Xuan Zhang

Research Collection School Of Economics

Expanding public health insurance to parents may not only improve parental outcomes but also have spillover effects on their children. This paper leverages the natural experiment of the Affordable Care Act (ACA) to estimate the causal effects of expanding public health insurance to low-income parents on their well-being and that of their children. Using a difference-in-differences model and data from the 2010–2017 National Health Interview Surveys, we observe significant improvements in health care access, increased health care utilization, reduced financial burdens, and slight improvements in health status among low-income parents. For children in Medicaid expansion states, we find reductions in …

Bespoke Realized Volatility: Tailored Measures Of Risk For Volatility Prediction, Andrew John Patton, Haozhe Zhang

Research Collection School Of Economics

Standard realized volatility (RV) measures estimate the latent volatility of an asset price using high frequency data with no reference to how or where the estimate will subsequently be used. This paper presents methods for “tailoring” the estimate of volatility to the application in which it will be used. For example, if the volatility measure will be used in a specific parametric forecasting model, it may be possible to exploit that knowledge to construct a better measure of volatility. We use methods from machine learning to estimate optimal “bespoke” RVs for heterogeneous autoregressive (HAR) and GARCH-X forecasting applications. We apply …

The Smu Trade Dashboard: Tracking And Quantifying The Trump Ii Tariffs, Pao-Li Chang, Ruoqing Chen, Lin Ma

Research Collection School Of Economics

The SMU Trade Dashboard (https://economics.smu.edu.sg/soetrade/tr ade-dashboard), developed by the SMU Center for Research on International Trade, consists of Tariff Tracker and Trade Simulation functions. The Tariff Tracker allows users to track the tariff applicable to an HS 6-digit product or an ISIC 2-digit sector bymarkets and country origins. The Trade Simulation presents quantitative simulation results of the effects of Trump II tariffs (and the associated tariff responses by its trading partners) on trade flows, welfare, and wages. This companion paper documents the methodologies underlying the tariff data collection protocol and the structuralsimulation designs.

Financial Valuation Of Retirement Village Via Stochastic Modelling Of Disability Prevalence Rates, Jackie Li, Mingke Wang, Jia Liu, Jessica Wai Yin Leung

Research Collection School Of Economics

Global mortality rates continue to decline, and life expectancy continues its upward trend. Besides mortality levels, policymakers and providers of financial and health services would also be interested in disability prevalence and its potential future trajectories. The length of time in good health versus the duration with major disabilities or long-term illnesses has significant financial implications for both individuals and society. In this paper, we develop Bayesian common factor models to analyse Australian age- and sex-specific disability prevalence rates. In particular, there are one or more common factors shared by both sexes, as well as specific factors for each sex. …

High Dimensional Regression Coefficient Test With High Frequency Data, Dachuan Chen, Long Feng, Per A. Myklang, Lan Zhang

Research Collection School Of Economics

This paper presents the first study on high-dimensional regression coefficient tests with high-frequency financial data. These tests allow the number of regressors to be larger than the number of observations within each estimation block and can grow to infinity in asymptotics. In this paper, the sum-type test and max-type test have been proposed, where the former is suitable for the dense alternative (many small betas) and the latter is suitable for the sparse alternative (a very small number of large betas). By showing the asymptotic independence between the sum-type test and max-type test, the paper proposes a third test – …

Joint Capacity Allocation And Job Assignment Under Uncertainty, Peng Wang, Yun Fong Lim, Gar Goei Loke

Research Collection Lee Kong Chian School Of Business

We study a multi-period joint capacity allocation and job assignment problem. The goal is to simultaneously allocate resources across J different supply nodes and assign jobs from I different demand origins to these J supply nodes, so as to maximize the reward for matching or minimize the cost of failure to match. We consider three features: (i) supply is replenishable after some random time, (ii) demand is random, and (iii) demand can wait and needs not be fully fulfilled immediately. Such problems emerge in many service management settings such as fleet re-positioning for car-sharing, and patient management in healthcare. We …

Trends And Outcomes Of Alcoholic Acute Pancreatitis In Patients With Alcohol Use Disorder Treated With Naltrexone In The United States: Before And After The Covid-19 Pandemic, Mohammad Zaahid Sheriff, Adrian Lindsey

Faculty Scholarship

Background: The role of naltrexone in improving acute alcoholic pancreatitis (AAP) outcomes in alcohol use disorder (AUD) patients, remains unclear. Aim: We aimed to assess the temporal trends in AAP incidence and the impact of naltrexone use on clinical outcomes in AUD patients. Methods: We conducted a retrospective cohort study using de-identified patient data from the TriNetX database, including all adults (≥ 18 years) diagnosed with AUD. AAP patients were then identified and stratified by naltrexone exposure. The incidence and prevalence of AAP in AUD patients were assessed pre-(March 2015–2019) and post-COVID-19(March 2020–2025). Propensity score matching (PSM) (1:1) was performed …

The Lived Experiences Of Deaf People In Carceral Spaces, Grace E. Lester, Gabriel Lomas, Deb S. Guthmann Dr.

JADARA

This qualitative study used semi-structured interviews to examine the experiences of formerly incarcerated deaf people in the carceral system. The examination of lived experiences in this research offers a context to the belief that the carceral system is structurally unqualified to address the significant, but nuanced needs of deaf people. This study counters the neglect of the intersectional experiences of incarcerated deaf people that exists in research literature by providing them the opportunity to share their stories in their own words through in-depth semi-structured interviews. Five previously incarcerated deaf adults were interviewed using a digital video platform. Using phenomenological methods, …

Study Summary: Exploring Safe & Effective Interpreter Output Ofyoga Concepts In Asl, Dixie Schexnaildre Dhsc

JADARA

Yoga can support mental health, recovery, and provide positive coping strategies. Where language inequities impede access for Deaf individuals, interpreters are thought to facilitate communication. However, the percentage of interpreters trained in safe, effective, or non-triggering yoga interpretation is unknown. Using background and frequency data, this précis of a lengthy descriptive project highlights barriers to yoga programming for the Deaf community. A central finding is only 33% (n = 7) of interpreters had training to ensure emotional and physical safety to yoga participants. While results are assessed cautiously, lack of interpreter training may add to health and recovery programming inequities.

Diagnostic Trends And Service Enhancements In Deaf Mental Health: A Longitudinal Analysis, Kent Schafer, Steve Hamerdinger, Frank Wu, Rie Sakai Bizmark, Charlene Crump

JADARA

A longitudinal study investigated mental health diagnostic trends and patterns among Deaf and Hearing individuals using a comprehensive dataset from Alabama Department of Mental Health spanning 2004-2024 (Deaf=4,547; Hearing=2,056,188). Chi-square analysis revealed significant proportional differences in diagnoses between the groups. Deaf individuals showed significantly higher proportions of psychotic (12.93% vs. 8.33% Hearing), mood (20.76% vs. 18.84% Hearing), and personality (0.58% vs. 0.43% Hearing) disorders. These findings suggest that increased access to specialized and competent mental health services for individuals who are Deaf, particularly following the increase of staffing patterns for the Office of Deaf Services in 2015,contributed to more accurate …

Texas Secondary Spanish Teachers’ Perceptions Of Factors Influencing Instructional Self- Efficacy, Satisfaction, And Effectiveness, Tana Verlane Palafox

Electronic Theses and Dissertations

Ongoing shortages of certified world language teachers and declining enrollment in secondary language programs have intensified concerns about teacher burnout, professional isolation, and instructional quality. Research has indicated that collaboration, targeted professional development, and supportive leadership influence teachers’ instructional self-efficacy, job satisfaction, and instructional effectiveness. However, limited research has examined how secondary Spanish teachers in Texas experience these issues. This qualitative collective case study explored how Texas secondary school Spanish teachers perceive the impact of their professional experiences on instructional self-efficacy, job satisfaction, and instructional effectiveness. Grounded in Bandura’s social cognitive theory and Vygotsky’s social constructivism, the study examined how …

Efficient Active Training For Deep Lidar Odometry, Beibei Zhou, Zhiyuan Zhang, Zhenbo Song, Jianhui Guo, Hui Kong

Research Collection School Of Computing and Information Systems

Robust and efficient deep LiDAR odometry models are crucial for accurate localization and 3D reconstruction, but typically require extensive and diverse training data to adapt to diverse environments, leading to inefficiencies. To tackle this, we introduce an active training framework designed to selectively extract training data from diverse environments, thereby reducing the training load and enhancing model generalization. Our framework is based on two key strategies: Initial Training Set Selection (ITSS) and Active Incremental Selection (AIS). ITSS begins by breaking down motion sequences from general weather into nodes and edges for detailed trajectory analysis, prioritizing diverse sequences to form a …