Digital Commons Network^™

Development Of Holographic Recording Techniques For Optical Couplers Designed For Solar Collection From Windows, Dipanjan Chakraborty

Doctoral

The main purpose of this research is to explore volume holographic optical couplers and investigate their potential for use as solar collectors in glass building structures. Such couplers are from the family of volume holographic optical elements (VHOEs) and their primary function is to re-direct the incident light so that it is trapped by Total Internal Reflection (TIR). They have been proposed for different waveguiding applications such as solar collection, head-up displays, and optical communication. Since the Sun is a non-stationary light source, often at a high altitude, couplers designed for non-normal incidence are crucial.

Ultimately, this work will address …

Afit Librarian Newsletter : Check It Out (Second Quarter 2026), D'Azzo Research Library, Air Force Institute Of Technology

AFIT Library Knowledge Base

In this issue:

• Interview with a Featured Library Advocate, Dr. William Cunningham, AFIT/ENS
• Library Display about “Inventing Flight”
• New Librarian: Catherine Stahl
• Staff Book Picks for Spring Reading

Modeling The Extracellular Matrix-Like Retinal Protein Pikachurin And Its Binding To Α-Dystroglycan And Gpcr (Gpr179), Mohit Belur, Khushi Raval, Riya Chelagiri, Rani Mehta

Undergraduate Student Symposium

Pikachurin is an extracellular matrix scaffold protein that links photoreceptor and ON-bipolar cell synapses by bridging the presynaptic dystroglycan complex and the postsynaptic receptor GPR179, ensuring precise synaptic alignment required for vision. Although its role in dystroglycanopathy associated visual phenotypes is well recognized, there is no published structural model showing how pikachurin engages α-dystroglycan or how this may influence GPCR linked synaptic signaling. This study computationally modeled full length Pikachurin using the complete nucleic acid sequence and available Protein Data Bank structures, integrating Jmol, AlphaFold, and literature-based analysis to predict domain organization, Ca²⁺-binding motifs, and glycan interaction sites …

Using X-Ray Crystallography To Inform Foldamer Drug Design, Isabella Garcia

Undergraduate Student Symposium

Foldamers are synthetic peptide oligomers that fold into well-defined three-dimensional structures, such as alpha-helices and beta-sheets. The goal of this project is to discover the solid-state confirmation of beta-amino acid foldamers that have potential as therapeutic molecules. This research represents an interdisciplinary collaboration between KAIST, a research university in South Korea, and NSU. We solved the single-crystal X-ray structures of two foldamers and then visualized their secondary structures and intermolecular contacts using Mercury. The first foldamer crystallized in the space group P2₁2₁2 and demonstrated a continuous alpha-helical secondary structure, with the residue side chains evenly distributed …

A Compendium Of Sound-Symbol Correspondences In English: More Revelations About The Challenge Of Teaching, Learning, And Applying Phonics, David Reinking, Sharon L. Reinking

Publications

In 2022, we published an article in The Journal of Reading Recovery entitled, “Why phonics (in English) is so difficult to teach, learn, and apply: What caregivers and teach- ers need to know” (Reinking & Reinking, 2022) The article outlined the unique challenges of mastering the diverse, irregular correspon- dences between letters and sounds (phonics) in English compared to the regularity of many other alphabetic languages We provided examples and explained how the complexity of English spelling creates and amplifies difficulties in teaching, learning, and applying phonics Our purpose was not to question the importance and viabil- ity of teaching …

Global Epidemiology Of Cephalopina Titillator Infestation In Camels: A Systematic Review And Meta-Analysis (1980–2025), Temesgen Mohammed, Aboma Zewude, Tsegaye Shamebo, Layaly Hamdan, Atef Oreiby, Hazim O. Khalifa, Gobena Ameni, Bojan Gajic

All Works

Background – Cephalopina titillator (C. titillator) is the causative agent of camel nasopharyngeal myiasis and is widespread in camel-rearing regions worldwide, causing impaired health, reduced productivity, and economic losses. However, despite the veterinary importance of C. titillator, global epidemiological evidence remains limited and fragmented, and no comprehensive synthesis of prevalence data across camel-rearing regions has previously been conducted. The objective of this review was to estimate the global pooled prevalence of C. titillator infestation in camels. In addition, subgroup analyses were made to assess the effect of camel species, geographic region, and study period on the pooled prevalence of C. …

Framing Emirati Womanhood: Heritage, Modernity, And Soft Power In Tourism Discourse, Valerie Priscilla Goby

All Works

This paper examines how Emirati womanhood is framed within the tourism discourse of the United Arab Emirates, analysing how gendered representation operates as both a cultural and political instrument in nation branding. Drawing on framing theory and informed by feminist perspectives on tourism and media representation, this study explores the visual and textual portrayal of women on official online platforms, including Visit Dubai, Visit Abu Dhabi, Emirates Airlines, and the UAE Ministry of Culture and Youth. These materials constitute a state-sanctioned narrative of national identity that integrates cultural heritage with modernity. Through qualitative framing analysis, four recurrent interpretive frames were …

Navigating Inclusive Education In The United Arab Emirates: Perspectives From School Leaders And Teachers, Daisy Loyd, Rhoda Myra Garces-Bacsal, Zachary Walker, Najwa Mohamed Alhosani, Hala Elhoweris, Osha Almuhairy, Ahmed Mohamed, Rachel Alison Takriti, Sana Butti Al Maktoum, Amani Mohamed, Hamdah Jibar Alhashmi

All Works

Inclusive education in the United Arab Emirates (UAE) has been promoted through ambitious policies. These have included a mandated change in nomenclature alongside strengthening the infrastructure and professional development to support inclusive education in mainstream schools. Perspectives from school leaders and teachers across the country about these changes and their implementation have not been captured. This research used a qualitative methodology to explore school leaders' and teachers' perspectives of inclusive education policy and practice. Participants included 22 school leaders and 57 teachers from public and private schools across the seven Emirates of the UAE. Data were collected through group and …

A Critical Narrative Review Appraisal Of The 2025–2030 Dietary Guidelines: Scientific Strengths, Conceptual Gaps, And Overlooked Dimensions Of Sustainability And Health Equity, Dimitrios Papandreou, Azza Alsuwaidi, Zainab Taha, Constantinos Giaginis, Georgios K. Vasios, Eleni P. Andreou

All Works

The 2025–2030 Dietary Guidelines introduce an important shift in public health nutrition, emphasizing minimally processed foods, higher protein intake, greater inclusion of full-fat dairy, and a food-based advice centered on “real food” consumption. While several of these recommendations align with accumulating evidence, particularly the discouragement of ultra-processed foods and added sugars, substantial concerns remain regarding their internal coherence, population-level applicability, risk of misinterpretation, as well as environmental footprint. This critical narrative review evaluates whether the scope, emphasis, and framing of the new guideline components are proportionate to the strength, consistency, and context of the underlying evidence. Using a novel framework …

Rethinking Behavior - Spring 2026, Midwest Symposium For Leadership In Behavior Disorders

ReThinking Behavior Magazine

A magazine for professionals serving children and youth with behavioral needs.

Spring 2026, Volume 9, Issue 3

Book Review: Emplacing Globalisation: Contextualising Mission In Settings Of People, Places And Processes By John Cheong And Jonathan Ro, David H. Campbell

Great Commission Research Journal

No abstract provided.

Book Review: Game Of Pulpits: The 7 Voices Vying For The Kingdom - Who Will Win & Why By Gary Comer, Lavern Brown

Great Commission Research Journal

No abstract provided.

Book Review: The American Religious Landscape By Ryan Burge, Derek Maxson

Great Commission Research Journal

No abstract provided.

About The Great Commission Research Network Spring 2026, David R. Dunaetz

Great Commission Research Journal

No abstract provided.

The Effectiveness Of The Educational Program “Istedamah” (Sustainability) Based On Green School Principles In Shaping Basic Education Students’ Perceptions Of Sustainable Development Dimensions And Their Practices In Achieving Carbon Neutrality In The School Environment In The Sultanate Of Oman, Huda Mubarak Al Dayri, Abdullah. K. Ambusaidi

Journal of Educational and Psychological Studies

The study aimed to identify the effectiveness of “ Istedamah” educational programme, which is based on green school principals, in promoting the perceptions of sustainable development dimensions and their practices related carbon neutrality among basic education students in the Sultanate of Oman. The study used quasi-experimental approach based on one group pre- and post -test design. The sample consisted of 106 male and female students selected randomly from schools that apply green school project. Two tools were used to gather data: A scale of students’ perceptions of the dimensions of sustainable development, (consisted of 26 statements) and practices for achieving …

Comparative Analysis Of Traffic Impact Study Accuracy Using Turning Movement Volume Counts., Kathryn Riopel

Master of Engineering Theses

Traffic forecasting and modeling has been a significant subject of debate within the transportation sector as of the last decade. Transportation agencies and planners use traffic forecasting and modeling in order to predict current and future transportation needs, as well as the impacts of proposed developments. In particular, state departments of transportation (DOTs) and city level agencies often require developers to conduct Traffic Impact Studies (TISes) in order to gauge necessary transport network enhancements to handle new demand from proposed developments. The standards by which these TISes are conducted and judged varies widely, but primarily consists of existing traffic counts, …

Developing 'A Guide To Agricultural Education Advisory Committees: Development, Uses, And Transitions', Christine Schuler

Department of Agricultural Leadership, Education, and Communication: Dissertations, Theses, and Student Research

This project developed a practical guide to support agricultural education advisory committees in their development, use, and long-term sustainability. Strong school-community partnerships are essential to effective agricultural education programs, particularly in small, rural communities where programs serve as connections between the school and local industry. Advisory committees play a critical role in maintaining these relationships, yet many agricultural educators lack clear, accessible resources to guide this work. This project addressed that need by creating a comprehensive, practice-based guide established from research and professional experience.

This guide started from a review of literature on school-community partnerships, advisory committees, and agricultural education …

Sounding W. B. Yeats’S “Cuchulain Comforted”, David Sergeant

School of Law, Humanities and Social Sciences

No abstract provided.

What Keeps Teachers: A Systematic Review Of Induction And Early-Career Teacher Retention In Rural Schools, Bobbie Jean Mcdonough

Teacher Education, Educational Leadership & Policy ETDs

Teacher retention remains a persistent challenge in United States education, particularly in rural K–12 public schools. This systematic review synthesized empirical research on induction and early-career teacher retention in rural United States settings published between 2000 and 2025. Guided by a postpositivist framework and aligned with PRISMA 2020 standards, 56 studies met inclusion criteria following structured database searches and multi-stage screening. Findings across the included studies indicate that retention was most consistently associated with induction, mentoring, professional learning, responsive leadership, collegial relationships, and teachers’ integration into their school and community, with no single support appearing sufficient in isolation. Across research …

Visits Related To Alcohol, Substance Use, And Mental Health In New Mexico’S Emergency Departments: Social Determinants Of Health And Discharge Disposition, 2021-2024, Samuel L. Swift, Maya Stefanovic, Dylan Pell

Population Health Research and Scholarship

No abstract provided.

The Impact Of Social Emotional Learning On Chicanx Students And Their Educators, Alesia Renee Camacho

Chicana and Chicano Studies ETDs

My research on the impact of social emotional learning on Chicanx students and their educators aims to analyze how the planned implementation of a carefully curated curriculum centering on the students’ culture and lived experiences makes for a better overall experience. For this study, I use the interpretive paradigm as it allows me to explain how education can serve as a tool to illuminate the injustices that students and their families face in their lives and, in turn, how these injustices are addressed in Ethnic Studies courses. Chicana/o/x Studies scholars have long advocated for utilizing students’ knowledge, experiences, perspectives, and …

Portrait Shadow Removal Via Self-Exemplar Illumination Equalization, Qian Huang, Cheng Xu, Guiqing Li, Ziheng Wu, Shengxin Liu, Shengfeng He

Research Collection School Of Computing and Information Systems

We introduce the Self-Exemplar Illumination Equalization Network, designed specifically for effective portrait shadow removal. The core idea of our method is that partially shadowed portraits can find ideal exemplars within their non-shadowed facial regions. Rather than directly fusing two distinct classes of facial features, our approach utilizes non-shadowed regions as an illumination indicator to equalize the shadowed regions, generating deshadowed results without boundary-merging artifacts. Our network comprises cascaded Self-Exemplar Illumination Equalization Blocks (SExmBlock), each containing two modules: a self-exemplar feature matching module and a feature-level illumination rectification module. The former identifies and applies internal illumination exemplars to shadowed areas, producing …

Trace: Securing Smart Contract Repository Against Access Control Vulnerability, Chong Chen, Lingfeng Bao, David Lo, Yanlin Wang, Zhenyu Shan, Ting Chen, Guangqiang Yin, Jianxing Yu, Zibin Zheng, Jiachi Chen

Research Collection School Of Computing and Information Systems

Smart contract vulnerabilities have led to billions of dollars in economic losses. Among these, improper Access Control, which allows unauthorized users to execute restricted functions, is particularly prevalent and has caused significant financial damage. Smart contract repositories contain source code, documentation, configuration files, and other artifacts necessary for building and deploying smart contracts. GitHub hosts numerous open-source repositories of this kind, which serve as intermediate artifacts in development and require compilation and packaging to produce deployable contracts. Third-party developers often reference, reuse, or fork code from these repositories during custom development. However, if the referenced code contains vulnerabilities, it can …

Stacked From One: Multi-Scale Self-Injection For Context Window Extension, Wei Han, Pan Zhou, Shuicheng Yan

Research Collection School Of Computing and Information Systems

The limited context window of contemporary large language models (LLMs) remains a primary bottleneck for their broader application across diverse domains. Although continual pre-training on long-context data offers a straightforward solution, it incurs prohibitive data acquisition and computational costs. To address this challenge, we propose SHAREDLLM, a novel framework based on multi-grained context compression and query-aware information acquisition. SHAREDLLM comprises two stacked short-context LLMs: a lower model serving as a compressor and an upper model acting as a decoder. The lower model compresses long inputs into compact, multi-grained representations, which are then forwarded to the upper model for context-aware processing. …

Dreamcs: Geometry-Aware Text-To-3d Generation With Unpaired 3d Reward Supervision, Xiandong Zou, Ruihao Xia, Hongsong Wang, Pan Zhou

Research Collection School Of Computing and Information Systems

While text-to-3D generation has attracted growing interest, existing methods often struggle to produce 3D assets that align well with human preferences. Current preference alignment techniques for 3D content typically rely on hardly-collected preference-paired multi-view 2D images to train 2D reward models, when then guide 3D generation — leading to geometric artifacts, such as the Janus face problem and geometric incompleteness, due to their inherent 2D bias. To address these limitations, we construct 3D-MeshPref, the first large-scale unpaired 3D preference dataset, featuring diverse 3D meshes annotated by a large language model and refined by human evaluators. We then develop RewardCS, the …

Where Did It Go Wrong? Attributing Undesirable Llm Behaviors Via Representation Gradient Tracing, Zhe Li, Wei Zhao, Yige Li, Jun Sun

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have demonstrated remarkable capabilities, yet their deployment is frequently undermined by undesirable behaviors such as generating harmful content, factual inaccuracies, and societal biases. Diagnosing the root causes of these failures poses a critical challenge for AI safety. Existing attribution methods, particularly those based on parameter gradients, often fall short due to prohibitive noisy signals and computational complexity. In this work, we introduce a novel and efficient framework that diagnoses a range of undesirable LLM behaviors by analyzing representation and its gradients, which operates directly in the model's activation space to provide a semantically meaningful signal linking …

Propaganda Ai: An Analysis Of Semantic Divergence In Large Language Models, Nay Myat Min, Long H. Pham, Yige Li, Jun Sun

Research Collection School Of Computing and Information Systems

Large language models (LLMs) can exhibit concept-conditioned semantic divergence: common high-level cues (e.g., ideologies, public figures) elicit unusually uniform, stance-like responses that evade token-trigger audits. This behavior falls in a blind spot of current safety evaluations, yet carries major societal stakes, as such concept cues can steer content exposure at scale. We formalize this phenomenon and present RAVEN (Response Anomaly Vigilance), a black-box audit that flags cases where a model is simultaneously highly certain and atypical among peers by coupling semantic entropy over paraphrastic samples with cross-model disagreement. In a controlled LoRA fine-tuning study, we implant a concept-conditioned stance using …

Managing Reproducibility Debt In Scientific Software: A Practical Framework, Zara Hassan, Christoph Treude, Graham Williams, Michael Norrish, Alex Potanin

Research Collection School Of Computing and Information Systems

Scientific software includes end-user applications, modelling tools, research software for publications, and production systems for real users. It plays a key role across various scientific disciplines by enabling large-scale computation, simulation, and data analysis. Unlike commercial software, scientific software is often developed in dynamic research environments with limited engineering practices, documentation, or testing. This makes it fragile and difficult to reproduce results, even when code and data are available, conditions in which Reproducibility Debt (RpD) accumulates. This paper presents the Reproducibility Debt Management Framework (RpD-MF), which is grounded in evidence from a systematic literature review, practitioner interviews, and a global …

Llmqua: Practical Backdoor Injection On Large Language Model Quantization, Xiangxiang Chen, Peixin Zhang, Jun Sun, Jin Song Dong, Wenhai Wang, Jingyi Wang

Research Collection School Of Computing and Information Systems

Quantization is widely used to enable local deployment of large language models (LLMs) on resource-constrained devices. Recent work (e.g., QuRA) shows quantization can be exploited via rounding manipulation to implant backdoors. However, such an attack has been evaluated only on small models and does not directly apply to LLMs due to three key constraints: (1) limited poisoning data from small, task-agnostic calibration sets; (2) layer-wise quantization restricting adversarial access to global representations; and (3) lack of gradient access in quantization pipelines, blocking gradient-based attacks.We propose LLMQuA, a practical quantization-phase backdoor attack tailored to the LLM setting. LLMQuA (i) injects backdoors …

Prompting Frameworks For Large Language Models: A Survey, Xiaoxia Liu, Jingyi Wang, Jun Sun, Xiaohan Yuan, Guoliang Dong, Peng Di, Wenhai Wang, Dongxia Wang

Research Collection School Of Computing and Information Systems

Since the launch of ChatGPT, a powerful AI Chatbot developed by OpenAI, large language models (LLMs) have made significant advancements in both academia and industry, bringing about a fundamental engineering paradigm shift in many areas. While LLMs are powerful, it is also crucial to best use their power where “prompt” plays a core role. However, the booming LLMs themselves, including excellent APIs like ChatGPT, have several inherent limitations: (1) temporal lag of training data, and (2) the lack of physical capabilities to perform external actions. Recently, we have observed the trend of utilizing prompt-based tools to better utilize the power …