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Articles 102451 - 102480 of 5153506
Full-Text Articles in Entire DC Network
What Church Planters Need : How Community, Training, & Intentional Relationships Fuel Church Growth, Carolina G. Miller
What Church Planters Need : How Community, Training, & Intentional Relationships Fuel Church Growth, Carolina G. Miller
Heritage Material
No abstract provided.
Successful Evangelism, Or, Life And Labors Of Rev. E. A. Fergerson, W.B. Yates
Successful Evangelism, Or, Life And Labors Of Rev. E. A. Fergerson, W.B. Yates
Heritage Material
No abstract provided.
Helen Ruth Chambers Papers - Accession 1748, Helen Ruth Chambers Wren
Helen Ruth Chambers Papers - Accession 1748, Helen Ruth Chambers Wren
Manuscript Collection
The Helen Ruth Chambers Papers document the undergraduate experience of Helen Ruth Chambers Wren (1909–1985) during her years as a student at Winthrop College, from the late 1920s through her graduation in 1931 with a Bachelor of Arts and Sciences. Helen was one of three sisters that graduated from Winthrop including Ella Margaret Chambers (Class of 1929) and Dorothy Chambers (Class of 1935). The collection consists primarily of student publications, academic work, and ephemera reflecting campus life, student organizations, and intellectual culture during this period.
Materials include a Winthrop College commencement announcement and program from 1929; student handbooks published by …
An Exploration Of Knowledge-Sharing Behaviour Within A Community-Based Service Provider: A Reflexive Thematic Analysis, Paul Mcmanus
An Exploration Of Knowledge-Sharing Behaviour Within A Community-Based Service Provider: A Reflexive Thematic Analysis, Paul Mcmanus
Doctoral
This qualitative research examines the knowledge-sharing (KS) behaviour of employees within a non-profit organisation (NPO) based in Dublin, Ireland. This NPO is a community-based service provider that supports people with disabilities and their families. It operates under the aegis of the Health Service Executive (HSE). The ability of employees to share knowledge is fundamental to the sustained care of society’s most vulnerable. Research on employees’ KS behaviour remains underrepresented within the non-profit sector. This gap in knowledge aligns with the NPO’s view that its KS environment requires improvement. In response to the literature review, a developed taxonomy conceptualises the organisation …
Brief Therapy Dog Interactions May Increase Self-Efficacy And Lower Perceived Stress And Cortisol In High School Students: A Preliminary Study, Dawn Melzer, Deirdre Yeater, Madison Derubis, Christiana Rose Kohlroser, Barbara J. Pierce
Brief Therapy Dog Interactions May Increase Self-Efficacy And Lower Perceived Stress And Cortisol In High School Students: A Preliminary Study, Dawn Melzer, Deirdre Yeater, Madison Derubis, Christiana Rose Kohlroser, Barbara J. Pierce
Psychology Faculty Publications
The present study examined changes in high schoolers’ perceived stress, general self-efficacy and cortisol levels after a brief interaction with a certified therapy dog. High school students completed self-report measures of perceived stress and general self-efficacy and provided salivary cortisol samples both before and after a 10-min interaction with a certified therapy dog. Following the interaction, students reported reductions in perceived stress scores, exhibited lower salivary cortisol concentrations and demonstrated increases in self-efficacy scores compared to before the interaction. Although higher self-efficacy scores were observed, general self-efficacy is generally regarded as a stable construct; therefore, these findings may reflect a …
Llamoco: Instruction Tuning Of Large Language Models For Optimization Code Generation, Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo, Jiacheng Chen, Yining Ma, Zhiguang Cao
Llamoco: Instruction Tuning Of Large Language Models For Optimization Code Generation, Zeyuan Ma, Yue-Jiao Gong, Hongshu Guo, Jiacheng Chen, Yining Ma, Zhiguang Cao
Research Collection School Of Computing and Information Systems
Recently, combining the strength of large language models (LLMs) and Evolutionary Computation (EC) has shown promising results for addressing optimization problems. It typically involves either iterative next-step solution seeking or directly prompting LLMs to generate critical optimization codes. However, these methods often suffer from low computational efficiency, high sensitivity to prompt design, and a lack of domain-specific knowledge. We introduce LLaMoCo, the first instruction-tuning framework designed to adapt LLMs for solving optimization problems in a code-to-code manner. LLaMoCo features a comprehensive instruction set that includes code-style problem descriptions as input prompts and robust optimization codes from expert EC optimizers as …
Graduate Student Retention: Examining Why Master’S Students Leave And What Motivates Their Return In A Large Public University System, Sonja Prophete
Graduate Student Retention: Examining Why Master’S Students Leave And What Motivates Their Return In A Large Public University System, Sonja Prophete
Theses and Dissertations
Graduate student persistence is a relatively unexplored area in the literature of higher education studies; specifically, at a multi-institutional scale at the master's level. This research study examines the factors which cause students to discontinue their master's degrees, and what conditions could possibly support them returning to their program at a large urban public university system. The current study was guided by Hoyt and Winn's (2004) distinction between non-returning students, and Bean & Metzner's (1985) theoretical model of student attrition. A sequential mixed-methods study was conducted to examine the institutional and environmental influences on students' decision-making processes.
The quantitative data …
The Gendered Path Of Least Resistance: First Entry And Exit Behaviors Of Public And Nonprofit Employees, Tiana Marrese, Ying Liu, Femida Handy
The Gendered Path Of Least Resistance: First Entry And Exit Behaviors Of Public And Nonprofit Employees, Tiana Marrese, Ying Liu, Femida Handy
Political Science Faculty Publications
Public and nonprofit organizations exhibit high rates of female employment often attributed to sector structures and social roles. To better understand how individual behaviors dynamically contribute to these distinctive ratios, we deconstruct public and nonprofit employment into gendered patterns of attraction and attachment. Using duration analysis and following a cohort from the National Longitudinal Survey of Youth 1997, this research finds that women demonstrate a higher attraction to their first public and nonprofit job compared to men, evidenced through a faster rate of entry into this employment. There are no significant gender differences when considering the duration of an individual's …
Evaluation Of Aggregate Gradation Specifications And The Feasibility Of Harmonization With Aashto Standards, Husam Elgaali, Ayesha Shah, Jan Olek
Evaluation Of Aggregate Gradation Specifications And The Feasibility Of Harmonization With Aashto Standards, Husam Elgaali, Ayesha Shah, Jan Olek
JTRP Technical Reports
The aggregate gradations specified by the Indiana Department of Transportation (INDOT) differ from those of the American Association of State Highway and Transportation Officials (AASHTO). Preliminary discussions suggest that adopting AASHTO standard gradation sizes could provide national alignment and simplify production for those operating in multiple states and supplying projects not subject to INDOT specifications. A comprehensive study was performed to evaluate the current INDOT specifications for coarse and fine aggregate gradations and to assess the potential impacts and feasibility of adopting AASHTO-specified gradations. A comparative analysis of INDOT gradations against AASHTO, ASTM International (ASTM), and those of neighboring states …
All-Inside Arthroscopic Technique For Repairing Radial Meniscus Tears At The Anterior Horn-Body Junction, Brandon Omari Boyd, Robert M. Walker, Harrison A. Volaski, Ferdinand J. Chan
All-Inside Arthroscopic Technique For Repairing Radial Meniscus Tears At The Anterior Horn-Body Junction, Brandon Omari Boyd, Robert M. Walker, Harrison A. Volaski, Ferdinand J. Chan
Department of Medicine Faculty Publications
Radial meniscus tears are a common tear pattern that, if left untreated, can ultimately lead to accelerated degenerative changes and disability. There is well-established evidence that supports meniscal preservation in patients with radial meniscus tears. Various surgical techniques are used to repair radial tears, including inside-out, outside-in, and all-inside methods. Self-retrieving all-inside devices are a safe option when repairing radial tears. However, radial tears at the junction of the anterior horn and body present a unique surgical challenge, as surgeons may have difficulty maneuvering the jaws of the self-retrieving suture device around the anterior limb of the meniscal tear. We …
Dual Clinical Presentation Of A Birthmark: A Quiz, Avery H. Seward, Jacqueline E. Leyrer, Sarah H. Carlock
Dual Clinical Presentation Of A Birthmark: A Quiz, Avery H. Seward, Jacqueline E. Leyrer, Sarah H. Carlock
Department of Medicine Faculty Publications
[Introduction] A man in his early 30s presented with a longstanding birthmark on the lift thigh that was first noticed at age 12. As a teenager, the lesion was treated with a CO2 laser at an outside institution; however, the lesion continued to slowly enlarge over the past several years. The patient reported recurrent irritation and swelling from a construction safety harness with occasional bleeding and frequent bruising. Recently, the area became inflamed, prompting an ER visit, where the patient was evaluated for cellulitis, underwent a normal ultrasound and was placed on cephalexin 500 gm twice daily for 10 days.
Friends Of The Library Newsletter, Spring 2026, Hillary Richardson
Friends Of The Library Newsletter, Spring 2026, Hillary Richardson
Fant Library News and Reports
No abstract provided.
Recent Technological Advances In Monitoring And Neuromodulation Of Non-Malignant And Neurogenic Bladder Conditions, Chang Liu, Yifan Wang, Mario Romero-Ortega, Argyrios Stampas, Yingchun Zhang, Philippe Zimmern, Zhengwei Li
Recent Technological Advances In Monitoring And Neuromodulation Of Non-Malignant And Neurogenic Bladder Conditions, Chang Liu, Yifan Wang, Mario Romero-Ortega, Argyrios Stampas, Yingchun Zhang, Philippe Zimmern, Zhengwei Li
Faculty, Staff and Student Publications
Neurogenic bladder and lower urinary tract (LUT) dysfunctions encompass a wide variety of urinary disorders resulting from nervous system impairments. Unfortunately, conventional treatments are still limited and can have significant complication rates, especially when stent implantations or other surgical procedures are involved. Therefore, there is a critical need to develop novel therapeutic strategies and pharmacological approaches to address these challenging urological conditions. Recent technological advances offer promising solutions to overcome some of these challenges faced by patients with bladder and LUT dysfunction. This review summarizes recent progress in advanced urotechnologies, focusing on bladder monitoring and neuromodulation approaches, advanced medical instruments …
Core Outcome Set For Liver Trauma: A Consensus Approach Using Modified Delphi Methodology, Christian Damone Cain, Saskya Byerly, Nicole A Stassen, David Efron, Thomas M Scalea, John B Holcomb, Gregory J Jurkovich, Rachael Callcut, Deborah M Stein, John A Harvin, Grace Rozycki, David H Livingston, Chad G Ball, Demetrios Demetriades, Ali Salim, Rosemary Kozar, Ajai K Malhotra, Martin Croce, Timothy Fabian, Andrew B Peitzman, Dante Yeh
Core Outcome Set For Liver Trauma: A Consensus Approach Using Modified Delphi Methodology, Christian Damone Cain, Saskya Byerly, Nicole A Stassen, David Efron, Thomas M Scalea, John B Holcomb, Gregory J Jurkovich, Rachael Callcut, Deborah M Stein, John A Harvin, Grace Rozycki, David H Livingston, Chad G Ball, Demetrios Demetriades, Ali Salim, Rosemary Kozar, Ajai K Malhotra, Martin Croce, Timothy Fabian, Andrew B Peitzman, Dante Yeh
Faculty, Staff and Student Publications
Objectives: Liver trauma management has evolved over recent decades, shifting from primarily operative to algorithmic approaches incorporating initial non-operative management alongside operative intervention for severe injuries. Inconsistent core outcome measures between studies hamper meaningful clinical research and evidence synthesis. This study aimed to develop a core outcome set (COS) for liver trauma research to standardize outcome reporting and improve study comparability.
Methods: A modified Delphi consensus methodology after COMET (Core Outcome Measures in Effectiveness Trials) and COS-STAD (Core Outcome Set-Standards for Development) guidelines was employed and twenty trauma surgery experts were recruited through purposive sampling of high-impact publications and professional …
Pulmonary Hypertension Associated With Interstitial Lung Diseases, Arun Jose, Namita Sood, Jean M Elwing, Bindu Akkanti, Abubakr Bajwa, Roberto Bernardo, Rodolfo A Estrada, Munish Sharma, Francisco J Soto, Adriano R Tonelli, Divya Verma, Janine Vintch, Sandeep Sahay, Oksana A Shlobin
Pulmonary Hypertension Associated With Interstitial Lung Diseases, Arun Jose, Namita Sood, Jean M Elwing, Bindu Akkanti, Abubakr Bajwa, Roberto Bernardo, Rodolfo A Estrada, Munish Sharma, Francisco J Soto, Adriano R Tonelli, Divya Verma, Janine Vintch, Sandeep Sahay, Oksana A Shlobin
Faculty, Staff and Student Publications
Interstitial lung disease (ILD) is a term encompassing a wide array of pulmonary conditions characterized by inflammation and fibrosis of the pulmonary parenchyma. Pulmonary hypertension (PH) is frequently encountered in patients with fibrotic ILDs and poses unique difficulties for both diagnosis and management. Patients with ILD-associated pulmonary hypertension (ILD-PH) are complex, often ailing and presenting with multiple comorbidities whose individual contributions to the underlying PH can be challenging to disentangle. Evidence supporting treatment with PH-specific medications in ILD-PH is limited. This edition of "How I Do It" presents a longitudinal case-based discussion of ILD-PH to address these challenges, highlight pearls …
Evaluation Of Prophylactic Egd Versus Beta Blockade In Hepatocellular Carcinoma Patients On Anti-Angiogenic Cancer Treatments, Panayiotis D Kontoyiannis, Camila Ayerbe, Kok Hoe Chan, Sara Soliman, Victor Machicao, Julie H Rowe
Evaluation Of Prophylactic Egd Versus Beta Blockade In Hepatocellular Carcinoma Patients On Anti-Angiogenic Cancer Treatments, Panayiotis D Kontoyiannis, Camila Ayerbe, Kok Hoe Chan, Sara Soliman, Victor Machicao, Julie H Rowe
Faculty, Staff and Student Publications
No abstract provided.
Deep Search In K–12 Education: Opportunities, Risks, And Research-Literacy Imperatives For Ai-Enabled Classrooms, Steven Baule, Dillon Martinnez
Deep Search In K–12 Education: Opportunities, Risks, And Research-Literacy Imperatives For Ai-Enabled Classrooms, Steven Baule, Dillon Martinnez
Essays in Education
Generative artificial intelligence (AI) deep search tools, such as ChatGPT’s Deep Research, Google’s Gemini Deep Search, Perplexity Research, Claude’s extended search, and emerging academic engines like Elicit and Consensus, are reshaping the ways students and educators locate, evaluate, and synthesize information. These tools promise to democratize research and reduce barriers to high-quality sources, particularly in K–12 environments where time, instructional capacity, and access to resources vary widely. However, recent analyses reveal significant challenges: inaccuracies, opaque algorithms, hallucinated facts, and inconsistencies across platforms. Using classroom-relevant examples and controlled experiments, including ambiguous historical searches and complex educational policy queries, this article examines …
Environmental Load In Technology-Rich Classrooms: A Practitioner Reflection On Student Attention, Cognitive Fatigue, And Instructional Design, Christopher Morales
Environmental Load In Technology-Rich Classrooms: A Practitioner Reflection On Student Attention, Cognitive Fatigue, And Instructional Design, Christopher Morales
Essays in Education
This practitioner essay examines student disengagement in technology-rich classrooms through the lens of cognitive load and environmental demand. Rather than interpreting all off-task behavior as laziness, avoidance, or lack of motivation, the essay argues that some students may be responding to cumulative overload created by screens, transitions, digital platforms, visual clutter, noise, lighting, and fragmented instructional routines. Drawing from classroom observation and cognitive load theory, the essay introduces environmental load as a practical concept for educators seeking to preserve student attention without lowering academic expectations. The essay offers reflective questions and instructional adjustments that can help teachers and school leaders …
No Groundwater, No Fish: The Critical Role Of Groundwater In Supporting Non-Glacial, Salmon-Bearing Rivers In South-Central Alaska, Tyelyn Brigino, Kai Rains, Edgar Guerron-Orejuela, Jacob Argueta, Syverine Bentz, Coowe Walker, Mark Rains
No Groundwater, No Fish: The Critical Role Of Groundwater In Supporting Non-Glacial, Salmon-Bearing Rivers In South-Central Alaska, Tyelyn Brigino, Kai Rains, Edgar Guerron-Orejuela, Jacob Argueta, Syverine Bentz, Coowe Walker, Mark Rains
School of Geosciences Faculty and Staff Publications
Groundwater discharge plays an important role in the hydrologic and ecologic functioning of rivers including sustaining streamflow and related habitat year-round. Simultaneously, groundwater supports the increasing demands of people as the global population continues to grow. Balancing the needs of users becomes increasingly important as climate change introduces greater uncertainty in water resources and fisheries, especially for economically important anadromous species that depend on freshwater resources. We investigated the seasonal and regional variability of groundwater contributions to six non-glacial mainstem salmon-bearing rivers in south-central Alaska. We hypothesized that groundwater contributes more than half of the annual streamflow, and nearly all …
Balancing Beliefs In The Curriculum: Exploring The Educational Value And Constitutional Limits Of Teaching About Religion In U.S. Public Schools, Maria Rina Limbo
Balancing Beliefs In The Curriculum: Exploring The Educational Value And Constitutional Limits Of Teaching About Religion In U.S. Public Schools, Maria Rina Limbo
Liberal Studies (MA) Final Essays
This thesis examines the educational value and constitutional limits of teaching about religion in U.S. public schools. It asks whether public schools may teach about religion academically without violating constitutional neutrality, where the boundary lies between education and indoctrination, and how religious literacy might be integrated in ways that benefit students while honoring First Amendment constraints. Using a mixed-methods design, the study gathered survey data from 104 adult participants drawn from diverse educational, religious, and community backgrounds across multiple states. Surveys were distributed primarily through mailed and hand-delivered print copies, with a small number completed electronically. Quantitative data were tabulated …
Impact Of Instagram Flyers In Higher Education: Within Resident Assistant Program Attendance Marketing, Mary J. Mcdonald
Impact Of Instagram Flyers In Higher Education: Within Resident Assistant Program Attendance Marketing, Mary J. Mcdonald
Liberal Studies (MA) Final Essays
This exploratory pilot study examines whether posting Instagram digital flyers affects Resident Assistant (RA) program attendance in the higher-education Housing and Residence Life (HRL) context. Instagram has emerged as a dominant channel of communication among Generation Z (1997-2012). As a result, higher education institutions have increasingly used social media to prompt student engagement and foster belonging, in hopes of strengthening retention. Using a quasi-experimental matched comparison design, attendance data from the 2024 academic year without Instagram flyers were compared to the 2025 academic year with Instagram flyers. The independent variable was the implementation of Instagram digital flyers, and the dependent …
Integrative Multi-Omics Profiling Identifies Infiltrative Hepatocellular Carcinoma As An Immunotherapy-Resistant Subtype With Distinct Molecular Features, Won Suk Lee, Seonjeong Woo, Sung Hwan Lee, Gae Hoon Jo, Ilhwan Kim, Hyeyeong Kim, Chansik An, Sanghoon Jung, Gwangil Kim, Haeyoun Kang, Beodeul Kang, Jung Sun Kim, Ho Yeong Lim, Incheon Kang, Hannah Yang, So Jung Kong, Dahyeon Son, Dong Jun Shin, Woo Young Kwon, Da-Yeon Lee, Ju-Seog Lee, Junho Park, Youngsoo Kim, Sohyun Hwang, Chan Kim, Hong Jae Chon
Integrative Multi-Omics Profiling Identifies Infiltrative Hepatocellular Carcinoma As An Immunotherapy-Resistant Subtype With Distinct Molecular Features, Won Suk Lee, Seonjeong Woo, Sung Hwan Lee, Gae Hoon Jo, Ilhwan Kim, Hyeyeong Kim, Chansik An, Sanghoon Jung, Gwangil Kim, Haeyoun Kang, Beodeul Kang, Jung Sun Kim, Ho Yeong Lim, Incheon Kang, Hannah Yang, So Jung Kong, Dahyeon Son, Dong Jun Shin, Woo Young Kwon, Da-Yeon Lee, Ju-Seog Lee, Junho Park, Youngsoo Kim, Sohyun Hwang, Chan Kim, Hong Jae Chon
Faculty, Staff and Student Publications
Background/aims: Hepatocellular carcinoma (HCC) exhibits substantial morphological and biological heterogeneity. Clinical and molecular relevance of the infiltrative subtype remains poorly defined in the context of cancer immunotherapy. We aimed to evaluate the prognostic impact and molecular features of infiltrative HCC in patients treated with first-line atezolizumab plus bevacizumab (Ate/Bev).
Methods: We included 307 patients with advanced HCC treated with Ate/Bev and classified them into four gross morphological types based on imaging. Multi-omics profiling was conducted on tumor samples. Type IV infiltrative signature was derived and externally validated using five independent HCC cohorts, including IMbrave150.
Results: Infiltrative morphology, encompassing pure and …
Engineering Mutation Clones In Mammalian Cells With Crispr/Cas9, Zijun Huo, Jian Tu, Rachel Shoemaker, Dung-Fang Lee, Ruiying Zhao
Engineering Mutation Clones In Mammalian Cells With Crispr/Cas9, Zijun Huo, Jian Tu, Rachel Shoemaker, Dung-Fang Lee, Ruiying Zhao
Faculty, Staff and Student Publications
CRISPR, Clustered Regularly Interspaced Short Palindromic Repeat, as a powerful genome engineering system, has been widely accepted and employed in gene editing of a vast range of cell types. Compared to zinc finger nucleases (ZFNs) or transcription activator-like effector nucleases (TALENs), CRISPR shows a less complicated process and higher efficiency. With the development of different CRISPR systems, it can be used not only to knock out a gene but also to make precise modifications, activate or repress target genes with epigenetic modifications, and even for genome wide screening. Here we will describe the procedure of generating a stable cell line …
Bayesian Modelling On Periodically And Multiple Periodically Correlated Time Series Data, Jie Yao
Bayesian Modelling On Periodically And Multiple Periodically Correlated Time Series Data, Jie Yao
Electronic Theses & Dissertations (2024 - present)
Time series with multiple periodically correlated (MPC) components present a complex challenge, with relatively limited prior research. Most existing models are designed for simpler periodically correlated (PC) components and often struggle with over-parameterization, optimization issues, and capturing complex PC patterns within a time series. Frequency separation techniques can help preserve the correlation structure of individual PC components, while Bayesian methods can integrate new and prior information to refine beliefs about these components. This study proposes a two-stage approach that combines frequency separation and Bayesian techniques to forecast PC and MPC time series data. This method aims to demonstrate improved effectiveness …
Public Coastal Access At Risk: Integrating Social And Environmental Data To Assess Vulnerability To Sea Level Rise, Nathaniel Merrill, Nathan Vinhateiro, Emi Uchida, Jesse Reiblich, Elin Torell, Sarah Schechter, Leah Feldman, Claudia Weitman, Drew Powell
Public Coastal Access At Risk: Integrating Social And Environmental Data To Assess Vulnerability To Sea Level Rise, Nathaniel Merrill, Nathan Vinhateiro, Emi Uchida, Jesse Reiblich, Elin Torell, Sarah Schechter, Leah Feldman, Claudia Weitman, Drew Powell
Graduate School of Oceanography Faculty Publications
Sea level rise poses significant risks to coastal infrastructure and recreational activities, limiting public coastal access. In this study, we evaluate the current use and measure the recreational value of coastal access areas in Bristol County, Rhode Island, while assessing the vulnerability of those areas to rising sea levels. By combining measurements of non-market economic value derived from cellular device location data with modeled future sea level projections, we quantify the economic value at risk under different inundation scenarios. We produce site-level results, which provide context and quantifiable measurements of social value that can guide prioritization of mitigation strategies to …
Acceptability, Usability, And Clinical Integration Of A Clinic-Based Digital Game For Hpv Education: Qualitative Perspectives From Adolescents, Parents, And Healthcare Providers, Elizabeth Reifsnider, Satya Subedi, Nouran Ghonaim, Megan Whaley, Angela Chia-Chen Chen
Acceptability, Usability, And Clinical Integration Of A Clinic-Based Digital Game For Hpv Education: Qualitative Perspectives From Adolescents, Parents, And Healthcare Providers, Elizabeth Reifsnider, Satya Subedi, Nouran Ghonaim, Megan Whaley, Angela Chia-Chen Chen
Ellmer School of Nursing Faculty Publications
Background/Objectives: HPV vaccination is safe, effective, and recommended at ages 11–12, yet uptake remains suboptimal. Serious video games may offer an innovative strategy to deliver brief, engaging education during clinic visits. This qualitative paper, embedded within a mixed-methods study, examined adolescents’, parents’, and healthcare providers’ (HCPs’) perceptions of the acceptability, usability, and perceived clinical applicability of HPV Detective, a tablet-based digital game designed to provide HPV-related education to parent–child dyads during pediatric clinic wait times. Methods: Eight adolescent–parent dyads (N = 16) and three HCPs from university-affiliated pediatric clinics participated in 30–60-min semi-structured Zoom interviews. Interviews were audio-recorded, transcribed, and …
Organized Sports-Based Interventions And Motor Outcomes In Children Diagnosed With Autism Spectrum Disorder: A Systematic Review, Kailash Ram, Maeren Hill, Caitlyn Stewart, Kaitlin P. Hardy Md, Sonia Khurana
Organized Sports-Based Interventions And Motor Outcomes In Children Diagnosed With Autism Spectrum Disorder: A Systematic Review, Kailash Ram, Maeren Hill, Caitlyn Stewart, Kaitlin P. Hardy Md, Sonia Khurana
Rehabilitation Sciences Faculty Publications
Aim
To evaluate the effectiveness of organized sports-based interventions on motor outcomes in children with autism spectrum disorder (ASD).
Method
Four databases were searched from inception to November 2025 for randomized controlled trials (RCTs) and non-randomized controlled trials (NRCTs) reporting motor outcomes of organized sports-based interventions in children with ASD. Risk of bias was evaluated using ROB-2 (Cochrane Risk of Bias Tool, Version Two) for RCTs and ROBINS-I (Risk Of Bias In Non-randomized Studies - of Interventions) for NRCTs.
Results
Eleven studies (six RCTs, five NRCTs) were included and categorized as martial arts (n = 5), aquatic training (n = …
Key-Point-Based Sign Language Translation With Multi-Stream Motion Modeling And Cross-Lingual Transfer, Alex Muchiri Kagozi
Key-Point-Based Sign Language Translation With Multi-Stream Motion Modeling And Cross-Lingual Transfer, Alex Muchiri Kagozi
Dissertations and Theses
Automatic sign language translation remains challenging because models must recover linguistic structure from complex visual motion while relying on limited annotated data. This thesis investigates whether compact skeletal key-points can serve as an effective alternative to RGB video for continuous sign language recognition and translation, motivated by the privacy, computational efficiency, and transferability of skeletal representations. To address this problem, a segmented key-point-based framework is evaluated in continuous sign language recognition (Sign2Gloss), gloss-mediated translation (Sign2Gloss2Text), gloss-free translation (Sign2Text), and transfer learning within a common modeling pipeline. The proposed framework is a motion-aware multi-stream transformer encoder. Rather than processing the signer …
Poly(A) Probe Hcr Rna-Fish Specifically Marks Pyriform Nurse Cells In The Brown Anole Lizard Ovary, Zoe B Griffin, Bonnie K Kircher, Richard R Behringer
Poly(A) Probe Hcr Rna-Fish Specifically Marks Pyriform Nurse Cells In The Brown Anole Lizard Ovary, Zoe B Griffin, Bonnie K Kircher, Richard R Behringer
Faculty, Staff and Student Publications
Hybridization chain reaction RNA-fluorescent in situ hybridization (HCR RNA-FISH) is a powerful and increasingly used method for visualizing gene expression in cells and tissues. A probe set against polyadenylated RNA (poly(A)) is often used as a positive control for RNA integrity and staining quality. While optimizing this technique in the ovary of the brown anole lizard (Anolis sagrei), we found that the poly(A) probe produced a strikingly specific and intense signal in pyriform cells, a specialized lizard-specific nurse cell type. This staining pattern was found in both whole-mount samples and paraffin sections, suggesting that poly(A) signal intensity can serve as …
Uncertainty-Guided Test-Time Optimization For Personalizing Segmentation Models In Longitudinal Medical Imaging, Jaehee Chun, Austin Castelo, Mckell Woodland, Caleb O'Connor, Mais Al Taie, Mohamed Eltaher, Aashish Gupta, Bilel Daoud, Shanli Ding, Jeddy Bennett, Anirban Maitra, Matthew A Firpo, Kimberly Kirkwood, Eugene J Koay, Kristy K Brock
Uncertainty-Guided Test-Time Optimization For Personalizing Segmentation Models In Longitudinal Medical Imaging, Jaehee Chun, Austin Castelo, Mckell Woodland, Caleb O'Connor, Mais Al Taie, Mohamed Eltaher, Aashish Gupta, Bilel Daoud, Shanli Ding, Jeddy Bennett, Anirban Maitra, Matthew A Firpo, Kimberly Kirkwood, Eugene J Koay, Kristy K Brock
Faculty, Staff and Student Publications
Background: Accurate and consistent image segmentation across longitudinal scans is essential in many clinical applications, including surveillance, treatment monitoring, and adaptive interventions. While personalized model adaptation using patient-specific prior scans has shown promise, current approaches typically rely on fixed training durations and lack mechanisms to determine optimal stopping points on a per-patient basis, particularly in the absence of validation labels.
Purpose: We propose an uncertainty-guided test-time optimization (TTO) framework that dynamically adjusts the personalization duration for each patient using a validation-free stopping criterion based on predictive uncertainty.
Methods: Our framework personalizes a generalized segmentation model using patient-specific prior imaging and …