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Articles 60871 - 60900 of 61013
Full-Text Articles in Entire DC Network
Reproducing Audiovisual And Representational Dissonance: Translating Foreign Telenovela Into Twinovela, Nancy A. Frimpong
Reproducing Audiovisual And Representational Dissonance: Translating Foreign Telenovela Into Twinovela, Nancy A. Frimpong
Iowa Journal of Communication
This article examines the production processes and cultural implications of adapting foreign telenovelas into "Twinovela"— serialized foreign dramas dubbed into Akan—on Ghanaian television. Focusing on Adom TV and United Television (UTV), the study explores how dubbing practices challenge traditional notions of indigenous media by merging global and local cultural narratives. Using ethnographic research methods, including interviews, participant observation, and institutional discourses, the analysis delves into recruitment strategies, translational practices, and the creative process of dubbing. The study highlights the sociocultural dynamics of Akan language use, the role of linguistic norms, and the integration of Ghanaian cultural motifs to ensure audience …
Amplifying African Immigrant Women's Voices: Self-Advocacy And Competency In Maternal Healthcare Communication In The United States, Sahar Khamis, Faith Otchere, Delight Agboada
Amplifying African Immigrant Women's Voices: Self-Advocacy And Competency In Maternal Healthcare Communication In The United States, Sahar Khamis, Faith Otchere, Delight Agboada
Iowa Journal of Communication
This qualitative study examines African immigrant women’s access to maternal health information (MHI), resources, and services in the United States (U.S.), the barriers and challenges they encounter when accessing and utilizing these resources, and strategies for overcoming these challenges. The study explored how African immigrant women access and share MHI, the degree of agency they exhibit in accessing maternal care, and how their participation in the study’s focus group discussions (FGDs) shaped their perceived competence and advocacy regarding maternal healthcare in the United States. Fourteen African women currently living in the United States participated in FGDs. Through these FGDs, the …
Understanding Dementia Challenges In Rural Ghana: A Systematic Review, Diana Maame Agyeiwaa Agyei, Sesi Sedegah, Abena Abokoma Asemanyi, Theresa Ayertey, Wendy Yeboah
Understanding Dementia Challenges In Rural Ghana: A Systematic Review, Diana Maame Agyeiwaa Agyei, Sesi Sedegah, Abena Abokoma Asemanyi, Theresa Ayertey, Wendy Yeboah
Iowa Journal of Communication
Dementia poses an escalating public health challenge in Ghana due to an expanding aging population, yet rural awareness remains critically low. Guided by Mohan Dutta’s Culture-Centered Approach (CCA), this PRISMA-compliant qualitative systematic review synthesized ten peer-reviewed articles to examine cultural perceptions and lived experiences surrounding dementia in rural Ghana. The findings highlight that cognitive decline is widely misattributed to witchcraft or normalized as standard aging. Witchcraft misconceptions subject individuals—especially older women—to severe stigmatization, social exclusion, physical abuse, and banishment to "witch camps". Meanwhile, normalizing symptoms as ordinary aging delays critical medical care and shifts family decision-making away from patients. Furthermore, …
The Soft Target Curriculum: Using Nigeria's 2026 Cascading Breaches To Teach Foundational Cybersecurity Failures, Chinedum Amaechi, Doris Asogwa, Samuel Alade
The Soft Target Curriculum: Using Nigeria's 2026 Cascading Breaches To Teach Foundational Cybersecurity Failures, Chinedum Amaechi, Doris Asogwa, Samuel Alade
Journal of Cybersecurity Education, Research and Practice
SourceURL:file:///home/amaechi/Documents/ *Journal of Cybersecurity Education, Research and Practice (JCERP)*. **Title:** The Soft Target Curriculum: Using Nigeria's 2026 Cascading Breaches to Teach Foundational Cybersecurity Failures.docx
Background: Between March and April 2026, a single threat actor allegedly compromised four Nigerian institutions across banking, payment infrastructure, government registry, and power distribution sectors. The breaches exposed millions of records and disrupted critical services, yet all four exploited elementary vulnerabilities taught in introductory cybersecurity courses. Objective: This pedagogical case study analyzes the four breaches as a unified phenomenon of "normalized negligence" and provides ready-to-use teaching materials for cybersecurity educators. Methods: Using open-source intelligence analysis of …
Cognitive Prosthetic: An Ai-Enabled Multimodal System For Episodic Recall In Knowledge Work, Lawrence Obiuwevwi, Krzystof J. Rechowicz, Vikas Ashok, Sachin Shetty, Sampath Jayarathna
Cognitive Prosthetic: An Ai-Enabled Multimodal System For Episodic Recall In Knowledge Work, Lawrence Obiuwevwi, Krzystof J. Rechowicz, Vikas Ashok, Sachin Shetty, Sampath Jayarathna
Computer Science Faculty Publications
Modern knowledge workplaces increasingly strain human episodic memory as individuals navigate fragmented attention, overlapping meetings, and multimodal information streams. Existing workplace tools provide partial support through note-taking or analytics but rarely integrate cognitive, physiological, and attentional context into retrievable memory representations. This paper presents the Cognitive Prosthetic Multimodal System (CPMS)—an AI-enabled proof-of-concept designed to support episodic recall in knowledge work through structured episodic capture and natural language retrieval. CPMS synchronizes speech transcripts, physiological signals, and gaze behavior into temporally aligned, JSON-based episodic records processed locally for privacy. Beyond data logging, the system includes a web-based retrieval interface that allows users …
Quantum Machine Learning Models: Principles, Frameworks, And Computational Challenges, K. A. Jayabalaji, S. Venkata Anand, Dineshkumar Rajendran, Prasanta Chatterjee Biswas, Sardor Omonov, Rubaid Ashfaq
Quantum Machine Learning Models: Principles, Frameworks, And Computational Challenges, K. A. Jayabalaji, S. Venkata Anand, Dineshkumar Rajendran, Prasanta Chatterjee Biswas, Sardor Omonov, Rubaid Ashfaq
Computer Science Faculty Publications
Quantum machine learning (QML) has become an optimistic avenue of harnessing quantum computation in data-driven modeling, especially of issues with high dimensionality and complicated correlations. Current methods are generally based on fixed or over-parameterized quantum circuits, and hence restricted to scalability as well as unproductive optimization in real-world hardware. This chapter introduces a hybrid quantum-classical learning system that is adaptive and provides principled quantum data encoding, architecture-conscious variational circuit design and resource-optimal optimization. The technique is based on the concepts of quantum architecture search and subspace-preserving transformations to trade expressiveness with trainability, and discretize the quantum model into a classical …
Examining Inclusive Computing Education For Blind Students In India, Akshay Kolgar Nayak, Yash Prakash, Md Javedul Ferdous, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok
Examining Inclusive Computing Education For Blind Students In India, Akshay Kolgar Nayak, Yash Prakash, Md Javedul Ferdous, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok
Computer Science Faculty Publications
The growing demand for computer professionals, driven by the expanding Information Technology industry, has led to numerous inclusive computing education efforts. These efforts have even included blind or visually-impaired (BVI) students, who are being increasingly encouraged to pursue education and a career in computing, despite the visually-oriented nature of the discipline. Extant literature has predominantly focused on identifying and addressing the accessibility barriers faced by BVI students to promote more inclusive learning environments. While few studies have also investigated the accessibility of computing education from the perspectives of BVI learners and instructors, these have been primarily situated in the Global …
The Privacy Paradox Of Llms: User Perceptions And The Reality Of Pii Leakage, Shuai Cheng, Haitao Xu, Shu Meng, Shuai Hao, Chuan Yue, Zhao Li
The Privacy Paradox Of Llms: User Perceptions And The Reality Of Pii Leakage, Shuai Cheng, Haitao Xu, Shu Meng, Shuai Hao, Chuan Yue, Zhao Li
Computer Science Faculty Publications
Large language models (LLMs) are increasingly deployed, yet they introduce significant privacy risks by disclosing personally identifiable information (PII) during interactions. Although prior work has demonstrated the feasibility of extracting PII from LLMs, no comprehensive study has evaluated the actual extent of PII leakage across mainstream LLMs or investigated user perceptions, literacy, and behavioral responses to these risks. To address these gaps, we conduct a large-scale evaluation of PII leakage in popular LLMs, demonstrating that attackers can extract email addresses and phone numbers with high success rates. Through a mixed-methods study involving 20 interviews and 204 survey participants, we identify …
Close Enough To Know, Organized Enough To Respond: State Associations As First-Response Advocacy Networks, Jordan Atkinson
Close Enough To Know, Organized Enough To Respond: State Associations As First-Response Advocacy Networks, Jordan Atkinson
Iowa Journal of Communication
This essay argues that state communication associations are uniquely positioned to serve as first-response advocacy networks for the communication discipline. In a higher education climate shaped by declining public trust, program cuts, academic freedom concerns, enrollment pressures, and contingent labor, state associations can provide local forms of connection, support, and advocacy that complement the work of regional and national associations. Drawing attention to their proximity, relationships, and responsiveness, this essay considers how these associations can help members recognize emerging threats, share resources, coordinate responses, and communicate the public value of communication education. It also argues that effective advocacy requires more …
Towards Supporting Real-Time Estimation Of Vehicle Fuel Consumption And Co2 Emissions In Smart City Applications, Abrar Alali, Stephan Olariu
Towards Supporting Real-Time Estimation Of Vehicle Fuel Consumption And Co2 Emissions In Smart City Applications, Abrar Alali, Stephan Olariu
Computer Science Faculty Publications
This paper evaluates a simplified physics-based energy demand model designed to estimate vehicle fuel consumption and CO₂ emissions—a critical tool for sustainable transportation planning and smart city applications. Unlike data-driven regression models that lack generalizability for user-defined conditions or complex physics-based approaches that rely on extensive, often proprietary data, the simplified model is distinguished by its minimal parameter requirements, depending primarily on a single, overarching powertrain efficiency value. A key contribution is the comprehensive empirical evaluation of the simplified model against official Environmental Protection Agency (EPA) test data across multiple driving cycles and vehicle types, providing a rigorous validation previously …
Maxgrnet: A Multi-Axis Vision Transformer With Improved Generalization For Eye Disease Classification Using Explainable Ai With Insertion-Deletion Operations On Fundus Images, Md Mehedi Hasan Santo, Fuyad Hasan Bhoyan, Fuad Ibne Jashim Farhad, Fahmid Al Farid, Sovon Chakraborty, Md Humaion Kabir Mehedi, Jia Uddin, Hezerul Bin Abdul Karim
Maxgrnet: A Multi-Axis Vision Transformer With Improved Generalization For Eye Disease Classification Using Explainable Ai With Insertion-Deletion Operations On Fundus Images, Md Mehedi Hasan Santo, Fuyad Hasan Bhoyan, Fuad Ibne Jashim Farhad, Fahmid Al Farid, Sovon Chakraborty, Md Humaion Kabir Mehedi, Jia Uddin, Hezerul Bin Abdul Karim
Computer Science Faculty Publications
Eye diseases, including diabetic retinopathy (DR), glaucoma, and cataracts, represent a major global health concern and can lead to severe visual impairment or blindness if not identified in a timely manner. This study proposes a novel eye disease classification framework based on a multi-axis vision transformer (MaxViT) applied to color fundus images with Explainable Artificial Intelligence (XAI) techniques to enhance model transparency. The proposed architecture integrates transformer-based attention mechanisms with Global Response Normalization (GRN)-based multi-layer perceptron (MLP) layers to capture complex spatial and contextual relationships within fundus images effectively. The model was evaluated on a publicly available eye disease classification …
Biosecure-Llm Framework: Protecting Llms From Cyberbiosecurity Threats And The Case For Independent Ai Safety Governance, Xavier-Lewis Palmer, Lucas Potter, Srdjan Lesaja, Sotirios Karathanasis, Mohammad Ghasemigol
Biosecure-Llm Framework: Protecting Llms From Cyberbiosecurity Threats And The Case For Independent Ai Safety Governance, Xavier-Lewis Palmer, Lucas Potter, Srdjan Lesaja, Sotirios Karathanasis, Mohammad Ghasemigol
Computer Science Faculty Publications
Large Language Models (LLMs) are becoming critical infrastructure in scientific, healthcare, and governmental contexts. As frontier AI laboratories increasingly partner with government agencies, a fundamental question arises: Who should control the safety and policy-enforcement layers that constrain model behavior? Current safety mechanisms (LLM guardrails) are typically designed for generic "harmlessness" and operate by detecting semantic patterns and refusing requests. However, they are inadequate governance instruments because they cannot implement auditable, domain-specific controls tied to external regulatory policy objects (e.g., control lists or rules governing personally identifying information). Even a perfectly aligned model is not able to express institution-specific policy without …
Open Scholarly Information Systems: Status Quo, Challenges, Opportunities, Hannah Bast, Guillaume Cabanac, Paolo Manghi, Jian Wu, Marcel R. Ackermann
Open Scholarly Information Systems: Status Quo, Challenges, Opportunities, Hannah Bast, Guillaume Cabanac, Paolo Manghi, Jian Wu, Marcel R. Ackermann
Computer Science Faculty Publications
Over the past 30 years, a rich ecosystem of scholarly information systems has developed that openly provide their services to the scientific community. These systems include aggregators of bibliographic metadata (e.g., DBLP, OpenCitations, OpenAIRE Graph, OpenAlex, ORKG, Semantic Scholar, CiteSeerX, and CORE); publication, data, and software repositories (e.g., Arxiv.org, Figshare, Zenodo, Software Heritage, and Dataverse); and PID authorities (e.g., ORCID, ROR, Crossref, and DataCite). This interdisciplinary Dagstuhl Seminar "Open Scholarly Information Systems: Status Quo, Challenges, Opportunities" (25381) was the first of its kind to bring together practitioners from this ecosystem, as well as researchers investigating related questions or relying on …
An Investigation Of Federated Gnns Under Aggregation, Data Poisoning, And Differential Privacy For Icu Length-Of-Stay Prediction, Shakib Mahmud Dipto, Soumya Banerjee, Sandip Roy, Ahmad F. Al Musawi, Preetam Ghosh, Sachin Shetty, Pratip Rana
An Investigation Of Federated Gnns Under Aggregation, Data Poisoning, And Differential Privacy For Icu Length-Of-Stay Prediction, Shakib Mahmud Dipto, Soumya Banerjee, Sandip Roy, Ahmad F. Al Musawi, Preetam Ghosh, Sachin Shetty, Pratip Rana
Computer Science Faculty Publications
Accurate prediction of ICU Length of Stay (LoS) is essential for clinical decision-making and healthcare resource management. Graph Neural Networks (GNNs), such as GraphSAGE, offer a natural fit by capturing patient data from Electronic Health Records (EHRs) through graph structures. However, the distributed and sensitive nature of this data raises both privacy and legal concerns regarding the aggregation and training of GNN models. This additionally leads to issues with data imbalance and model robustness. In this study, we perform an analysis of the Federated Graph Neural Network (GNN-FL) framework to enable decentralized learning on EHRs derived from the MIMIC-III dataset. …
Toward A Centralized Cross Domain Database For Reproducibility And Replicability Studies, Rochana R. Obadage, Sarah Rajtmajer, Jian Wu
Toward A Centralized Cross Domain Database For Reproducibility And Replicability Studies, Rochana R. Obadage, Sarah Rajtmajer, Jian Wu
Computer Science Faculty Publications
Reproducibility and replicability (R&R) are structural properties of scientific knowledge, yet existing R&R evidence remains fragmented across domains and initiatives. We present an ongoing effort to develop a centralized, cross-domain database of R&R studies that links published works to their corresponding R&R attempts and supporting assessments. Bibliographic metadata and title-based matching through scholarly indexing services identify canonical records and persistent identifiers. A heuristic, uncertainty-aware matching algorithm supports intra-source and inter-source deduplication, complemented by manual review of ambiguous cases. A unified schema accommodates heterogeneous assessment frameworks and records original studies, R&R studies, assessments, aggregated summaries, and source provenance. The database currently …
Larval Crowding In Culex Pipiens Generates Cumulative Cascading Effects Under Changing Environmental Conditions, Sengul Talay, Zafer Sakaci, Michele C. Weigle, Bugrahan Regaip Kilinc, Jenah Parman, Holly Gaff, Deniz Sirin, Bulent Alten, Dennis Bente, Sirri Kar
Larval Crowding In Culex Pipiens Generates Cumulative Cascading Effects Under Changing Environmental Conditions, Sengul Talay, Zafer Sakaci, Michele C. Weigle, Bugrahan Regaip Kilinc, Jenah Parman, Holly Gaff, Deniz Sirin, Bulent Alten, Dennis Bente, Sirri Kar
Computer Science Faculty Publications
Density-dependent population regulation is a fundamental driver in the population dynamics of living systems, ensuring a balanced and sustainable maintenance in nature. It has been suggested that the adverse developmental and morphological effect of high larval density in container mosquitoes represents a significant limiting factor for population density, and the need to investigate this possible importance within the framework of field-based principles has been emphasized. This semi-field study, conducted under the natural thermal regime and using a natural population in Turkish Thrace, aimed to examine the effects of non-food-limiting larval density (crowding effect) in the mosquito species, Culex pipiens ( …
Replicatorbench: Benchmarking Llm Agents For Replicability In Social And Behavioral Sciences, Bang Nguyen, Dominik Soós, Qian Ma, Rochana R. Obadage, Zack Ranjan, Sai Koneru, Timothy M. Errington, Shakhlo Nematova, Sarah Rajtmajer, Jian Wu, Meng Jiang
Replicatorbench: Benchmarking Llm Agents For Replicability In Social And Behavioral Sciences, Bang Nguyen, Dominik Soós, Qian Ma, Rochana R. Obadage, Zack Ranjan, Sai Koneru, Timothy M. Errington, Shakhlo Nematova, Sarah Rajtmajer, Jian Wu, Meng Jiang
Computer Science Faculty Publications
The literature has witnessed an emerging interest in developing and evaluating AI agents for automated assessment of research claims in scientific papers. Existing benchmarks focus primarily on the computational aspect of this task, testing agents' ability to reproduce or replicate research outcomes when having access to the code and data. This setting, while foundational, (1) fails to capture the inconsistent availability of new data for replication as opposed to reproduction, and (2) lacks ground-truth diversity by focusing exclusively on fully reproducible or replicable papers, thereby failing to evaluate an agent's ability to identify non-replicable research. Furthermore, most benchmarks only evaluate …
The Problems Of Measuring Prestige: How To Research And Report On The Value Of Graduate Writing Programs, Vicki R. Kennell
The Problems Of Measuring Prestige: How To Research And Report On The Value Of Graduate Writing Programs, Vicki R. Kennell
Purdue Writing Lab/Purdue OWL Presentations
This workshop aims to help attendees think through the processes of conducting research to identify their writing program’s value for graduate students and communicating results in ways that are intelligible to funding bodies. Activities are divided into three categories: identifying values; evaluating programs and collecting data; and expanding current efforts and overcoming problems.
“En La Clase, Sí. En Estados Unidos, No.”: La Motivación, La Pertenencia Y El Intercambio De Recursos En Clases Para Adultos Aprendices De Inglés, Katie Hunter
Graduate Research Papers
En los Estados Unidos, los programas de educación para adultos pueden abrir la puerta a varias oportunidades para estudiantes con trasfondos académicos no tradicionales. Los programas como la educación básica para adultos, la equivalencia de escuela secundaria, la preparación profesional y técnica y, lo más importante para los propósitos de este estudio, la educación para adultos aprendices de inglés, promueven el progreso profesional y apoyan a los estudiantes a identificar y trabajar para alcanzar sus metas personales. Sin embargo, en este contexto educativo es de suma importancia reconocer el conocimiento arraigado en la experiencia vivida que los estudiantes traen al …
Integrating Literacy Into A High School Climate Change Unit, Bailey Bushman
Integrating Literacy Into A High School Climate Change Unit, Bailey Bushman
Graduate Research Papers
The ability to read is an important skill for members of society. Teaching students to read is often left up to elementary teachers and then secondary English teachers are expected to expand on those skills, but other content areas can help teach the needed literacy skills to students. In addition to typical literacy skills like reading and writing, students need to be able to understand climate science in order to make responsible decisions about the Earth’s future.
One way to ensure that students are getting both literacy skills and disciplinary content would be for science teachers to include a variety …
University Of Northern Iowa Fact Book, 2025-2026, University Of Northern Iowa. Institutional Effectiveness & Planning.
University Of Northern Iowa Fact Book, 2025-2026, University Of Northern Iowa. Institutional Effectiveness & Planning.
University of Northern Iowa Fact Book
Table of Contents
Quick Reference ... Inside front cover
Mission Statement and Institutional Goals ... 1
UNI Organizational Chart ... 2
UNI Administration ... 3
Definitions of Terms Used ... 4
Calendar ... 6
New Students
Fall New Students ... 9
New Student Applications, Admissions and Enrolled ... 10
New Students Enrolled by Residence ... 12
New Freshmen Enrollment by Residence ... 13
New Undergraduate Transfer Students by Type of Transfer College ... 14
New Freshmen ACT Composite Scores and High School Class Rank ... 15
Enrollment
Fall Students Profile by College ... 19
Headcount Enrollment ... 20
Headcount Enrollment …
Outcomes Of Allogeneic Ocular Surface Stem Cell Transplantation, Albert Y. Cheung, Natalia Quiroz-Casian, Enrica Sarnicola, Gautam C. Ramanathan, Siddharth Nath, Edward J. Holland
Outcomes Of Allogeneic Ocular Surface Stem Cell Transplantation, Albert Y. Cheung, Natalia Quiroz-Casian, Enrica Sarnicola, Gautam C. Ramanathan, Siddharth Nath, Edward J. Holland
Department of Ophthalmology Faculty Publications
Allogeneic ocular surface stem cell transplantation (OSST) is an established therapeutic approach for limbal stem cell deficiency, utilizing techniques such as keratolimbal allograft (KLAL), living-related conjunctival limbal allograft (lr-CLAL), allogeneic cultivated limbal epithelial transplantation (allo-CLET), and allogeneic simple limbal epithelial transplantation (allo-SLET). This review synthesizes evidence from 35 studies encompassing 1, 268 eyes with at least 24 months of follow-up to evaluate intermediate- and long-term outcomes. Overall, OSST is associated with improvement in visual acuity and restoration of ocular surface stability, although success rates vary widely by technique, ranging from 13% to 87%. Outcomes appear to be influenced by the …
Ocular Surface Disease Following Lasik And Cataract Surgery: A Review Of Their Interrelated Complications, Matthew D. Spangler, Nila Kirupaharan, John D. Sheppard
Ocular Surface Disease Following Lasik And Cataract Surgery: A Review Of Their Interrelated Complications, Matthew D. Spangler, Nila Kirupaharan, John D. Sheppard
Department of Ophthalmology Faculty Publications
Background: Ocular surface disease is a multifactorial condition that is very commonly caused by dry eye disease (DED). Ophthalmic procedures intended to improve visual outcomes, laser-assisted in situ keratomileusis (LASIK) and cataract surgery, can paradoxically cause or exacerbate underlying ocular surface disease. This results in worsening vision and quality of life.
Areas covered: This review examines the pathophysiological mechanisms contributing to ocular surface disease development following LASIK and cataract surgery. Both procedures are associated with the transection of corneal nerves, leading to decreased tear production, surface instability, altered neurotrophin production, and impairment of the blink reflex. Furthermore, these incisional procedures …
Hyphema Associated With Water Bead Projectile Toys: A Retrospective Comparative Study, Aashri I. Aggarwal, Priya K. Singh, Diego E. Arias, Peter A. Netland
Hyphema Associated With Water Bead Projectile Toys: A Retrospective Comparative Study, Aashri I. Aggarwal, Priya K. Singh, Diego E. Arias, Peter A. Netland
Department of Ophthalmology Faculty Publications
Purpose: Superabsorbent water beads can be used in projectile toy guns. We aimed to characterize water bead-related hyphema and compare the prevalence with other causes of traumatic hyphema.
Methods: In this 10-month retrospective review, we identified 35 consecutive patients with traumatic hyphema presenting to the emergency department. Cases were grouped by injury mechanism, water bead-related compared with all other causes. Clinical data on initial presentation and subsequent visits were compared.
Results: In the patients with traumatic hyphema, 8 (23%) cases were due to water bead trauma. Bead-related cases involved significantly younger patients (16 ± 9 years) compared with other cases …
Acellular Bowman Layer And Descemet Membrane Allografts For Non-Ectatic Anterior Corneal Diseases: A Narrative Review Of Emerging Evidence, Hanna Pawlowski, Sanjana Molleti, W. Garrett Hayes, Nadim S. Azar, Albert Y. Cheung, Phillip C. Hoopes, Majid Moshirfar
Acellular Bowman Layer And Descemet Membrane Allografts For Non-Ectatic Anterior Corneal Diseases: A Narrative Review Of Emerging Evidence, Hanna Pawlowski, Sanjana Molleti, W. Garrett Hayes, Nadim S. Azar, Albert Y. Cheung, Phillip C. Hoopes, Majid Moshirfar
Department of Ophthalmology Faculty Publications
Penetrating keratoplasty has long been the standard treatment for many corneal pathologies, but interest has grown in less invasive, tissue-sparing alternatives. Bowman’s layer (BL) and Descemet’s membrane (DM) transplantation are two anterior approaches that use isolated acellular corneal layers to restore structural support and promote epithelial healing, while avoiding many of the limitations of full-thickness grafting. Although both techniques have been described for ectatic disorders, their theoretically low immunogenicity, minimal long-term steroid requirements, and capacity to support reepithelialization make them appropriate options for a range of nonectatic indications. This narrative review describes the application of BL (11 studies) and DM …
Milner Library Annual Report, 2026, Milner Library, Illinois State University
Milner Library Annual Report, 2026, Milner Library, Illinois State University
Reports and White Papers - Milner Library
2025 annual report for Milner Library, Illinois State University.
Exploring The Relationship Between Bmi Classification And Levels Of Food Noise, Edmarie Billosillo
Exploring The Relationship Between Bmi Classification And Levels Of Food Noise, Edmarie Billosillo
Loma Linda University Research Reports
Rising rates of obesity in the United States necessitates an understanding of the multitude of factors that contribute to it. Recently, “food noise” has emerged as a topic of interest in this space. The current survey-based observational study aimed to understand the relationship between Body Mass Index (BMI) and levels of food noise. The results indicate a significant association between BMI and food noise levels and a connection between a history of disordered eating and food noise levels. Additionally scores on the Food Noise Questionnaire (FNQ) and the Food Cravings Questionnaire - Trait – reduced (FCQ-R-r) were found to be …
Comparing Perceived Ideal Protein Intake In Plant-Based Versus Meat-Based Diet Consumers, Gysel Avendano, Saya Iwanaga
Comparing Perceived Ideal Protein Intake In Plant-Based Versus Meat-Based Diet Consumers, Gysel Avendano, Saya Iwanaga
Loma Linda University Research Reports
High-protein diets have gained significant popularity in both social media and public discussion and more recently, a significant rise in protein consumption has been observed. Existing research has reported differences in actual protein intake across dietary patterns, with animal-based diets generally associated with higher total protein intake compared to plant-based diets. This growing focus on protein raises important questions about perceived ideal protein intake and the factors that shape it.
The primary objective is to compare perceived ideal protein intake among Southern California adults consuming meat-based versus plant-based diets. Additionally, we explored the influence of protein-related knowledge, beliefs, values, information …
Investigating The Impact Of Seed Cycling On Menstrual Regularity, Dysmenorrhea, And Premenstrual Symptoms, Victoria Llerena, Sumrite Aeri
Investigating The Impact Of Seed Cycling On Menstrual Regularity, Dysmenorrhea, And Premenstrual Symptoms, Victoria Llerena, Sumrite Aeri
Loma Linda University Research Reports
Menstrual irregularities and dysmenorrhea are common in reproductive-age women and can affect quality of life. This study examined whether seed cycling could improve menstrual health in women with irregular cycles or menstrual discomfort. In this single-arm intervention study, women aged 18 - 45 consumed flax and pumpkin seeds during the follicular phase and sesame and sunflower seeds during the luteal phase for three menstrual cycles. Cycle length and symptoms were tracked monthly using smartphone health apps and the Menstrual Health Symptom Questionnaire (MHSQ). Sixteen participants completed the study. Repeated measures across baseline and 1-, 2-, and 3-month follow-ups were analyzed …
The Lived Experience Of Special Education Director Retention: A Phenomenological Study Of Motivational And Organizational Influences, Matthew R. Taylor
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 …