Digital Commons Network^™

Development Of Antimicrobial Formulations From Natural Extracts And Zinc Nanoparticles, Mia Keane, Lily Jaiswal, Shiv Shankar

Level 3

No abstract provided.

A Cascading Effects Model Of Early Sensory Development In Autism, Natalie Russo, Carissa J. Cascio, Grace T. Baranek, Tiffany G. Woynaroski, Zachary J. Williams, Shulamite A. Green, Roseann Schaaf

Department of Occupational Therapy Faculty Papers

Autism has historically been defined by the presence of differences in social communication and restricted, repetitive patterns of behavior, interests, or activities (RRBs). Since 2013 when the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders was published, sensory features were added as one of the polythetic restricted and repetitive behavior diagnostic criteria of autism, though it has remained understudied. Here, we summarize theory and research to provide support for the perspective that early sensory functions and experiences play a primary role in autism and have downstream effects on social communication and repetitive behavioral features of autism. The …

Performance Of Islamic Banks During The Covid-19 Pandemic: An Empirical Analysis And Comparison With Conventional Banking, Umar Butt, Trevor Chamberlain

All Works

This study examines the performance and resilience of Islamic banks during the COVID-19 pandemic, a period marked by unprecedented global economic disruption. Drawing on empirical data and a comparative analysis with conventional banking institutions, the research evaluates key financial indicators—liquidity, profitability, asset quality, and capital adequacy—to assess how Islamic banks responded to the crisis. The unique principles of Islamic finance, including risk-sharing, asset-backed financing, and the prohibition of interest and speculative activities, provide a distinct framework for crisis response. By analyzing how these features influenced bank performance during the pandemic, the study offers valuable insights into the relative robustness of …

Land Instability Compounds The Risk Of Sea Level Rise In Alexandria, Egypt, Rejoice Thomas, Sara Zouriq, Shahryar Fazli, Amr Fawzy, Nikolay Grisel Todorov, Surendra Maharjan, Wenzhao Li, Erik Linstead, Daniele Struppa, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

The coastal region of Alexandria Governorate in Egypt holds significant strategic importance for trade while being susceptible to extreme weather events. It confronts a dual challenge of the rising sea levels and, as found in this study, land instability. While much attention has been rightly directed towards sea level rise (SLR), the stability of the land warrants equal consideration. Here, a comprehensive analysis of land stability is conducted in Alexandria by measuring Line of Sight (LOS) displacements and assessing their topographical, hydrological, and coastal impacts. Persistent Scatterer Interferometry technique is used to measure the LOS displacements in association with land …

Ensemble-Based Binding Free Energy Profiling And Network Analysis Of The Kras Interactions With Darpin Proteins Targeting Distinct Binding Sites: Revealing Molecular Determinants And Universal Architecture Of Regulatory Hotspots And Allosteric Binding, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

KRAS is a pivotal oncoprotein that regulates cell proliferation and survival through interactions with downstream effectors such as RAF1. Despite significant advances in understanding KRAS biology, the structural and dynamic mechanisms of KRAS allostery remain poorly understood. In this study, we employ microsecond molecular dynamics simulations, mutational scanning, and binding free energy calculations together with dynamic network modeling to dissect how engineered DARPin proteins K27, K55, K13, and K19 engage KRAS through diverse molecular mechanisms ranging from effector mimicry to conformational restriction and allosteric modulation. Mutational scanning across all four DARPin systems identifies a core set of evolutionarily constrained residues …

Eliminating Assay Background Of A Low-Cost, Colorimetric Glutamine Biosensor By Engineering An Alternative Formulation Of Cell-Free Protein Synthesis, Joseph P. Talley, Tyler J. Free, Tyler P. Green, Dallin M. Chipman, Bradley Charles Bundy

Faculty Publications

Glutamine is an essential biomolecule that plays a pivotal role in many diseases, such as cancer, where it can serve as fuel for rapid proliferation. Treatments for these diseases can be monitored and optimized through the detection of glutamine, though standard glutamine detection procedures are costly and require complex instrumentation. Cell-free protein synthesis (CFPS) has recently enabled a paper-based, colorimetric glutamine sensor that carries the potential to increase test accessibility while dramatically reducing consumer cost to enable at-home, rapid treatment monitoring. Test sensitivity remained limited by residual assay background, thus motivating this work where CFPS reactions traditionally formulated with glutamate …

Effect Of Fibonacci-Inspired Multi-Layer Aluminum Sheets Under Double-Nose Projectile Impact, Shaima Ali Alhosani

Thesis/ Dissertation Defenses

This research examines the ballistic performance of multi-layered Aluminum 2024 sheets designed with Fibonacci-inspired spacing patterns when subjected to double-nose projectile impacts. Through a numerical simulation, five configurations were studied: a monolithic reference plate (L0) with 0.82 mm thickness, and four multi-layer configurations (L1 to L4), all maintaining a constant total thickness of 1.74 mm. Three projectile types were considered Blunt-Conical (BC), Conical-Blunt (CB), and Blunt-Blunt (BB). Among these, the L1 configuration (two layers separated by a 0.1 mm gap) consistently offered the best ballistic resistance, outperforming more complex arrangements. As layer complexity increased from L1 to L4, overall performance …

Hope And Blessings: A Homeless Student’S Story, Kennedy Pazos

Wisdom & Compassion: The LUSON Journal

No abstract provided.

Research Integrity In The Era Of Generative Artificial Intelligence, Andrea Wilson, Cheryl Burleigh

Journal of Educational Research and Practice

Protecting research integrity is crucial for maintaining trust in the scholarly record. Historically, threats to research integrity stemmed from deliberate human actions, such as data manipulation and misrepresentation. Generative artificial intelligence (GAI) is increasingly prevalent in higher education and is capable of generating research data and scholarly papers almost instantly. The immediate production of research data challenges traditional standards of academic rigor and integrity. The purpose of this study was to explore the role and impact of GAI on research integrity and the scholarly record, emphasizing the need for robust safeguards. For this study, we submitted Likert-type survey questions to …

Retraction Notice: Enhancing Project Tracking Through Microsoft Power Platform Automation: A Case-Based Study Using Power Bi

AUIQ Technical Engineering Science

Reason for Retraction:

The authors have disclosed that the article includes confidential and proprietary data, specifically within one of the figures (Figure 9), which was published without authorization from the data-owning organization. This constitutes a violation of publishing ethics as defined by the Committee on Publication Ethics (COPE) and necessitates formal retraction.

Large Language Model Based Automated Labeling Of Keypoints In Images Of Rooms, Adam Zu, Fengtao Fan

Defensive Publications Series

Spatial applications require accurate geometrical measurements of physical spaces. Typically, room geometry can be determined based on the position of various corners in the room. A room keypoints model can provide the locations of corners in an image of a room. However, there is a dearth of diverse types of suitable images with labeled keypoints that can be employed to train keypoint models. Manual labeling does not scale because it is tedious, slow, and expensive. This disclosure describes an LLM-based agent to automate the labeling of keypoints, such as corners within room images at scale, thus enabling speedy generation of …

Chemical Composition Of Omani Red Seaweeds (Gelidium Omanense And Melanothamnus Somalensis) And Their Phytochemicals As Extracted By Different Organic Solvents, Abdullah Al-Nassri, Ahmed Al-Alawi

Journal of Agricultural and Marine Sciences

Seaweeds are divided into three categories: green, brown, and red. Each group of seaweeds consists of several families that have differences in composition. Even at the genus level, there are differences in some ingredients, although in general composition, they are nearly the same. Environmental conditions, availability of nutrients, and maturity stage are the main reasons for composition differences. This study aimed to determine approximate composition, mineral profile, protein quality and phytochemical properties of Melanothamnus somalensis & Gelidium omanense seaweeds. Both seaweeds are very abundant in Oman and seaweed Gelidium omanense is one of the unique seaweeds to Oman. Five organic …

Derivation And Experimental Validation Of A Parameterized Nonlinear Froude–Krylov Force Model For Heaving-Point-Absorber Wave Energy Converters, Houssein Yassin, Tania Demonte Gonzalez, Gordon Parker, Giorgio Bacelli, Carlos Michelen

Michigan Tech Publications

Wave energy converters (WECs) have gained significant attention as a promising renewable energy source. Optimal control strategies, crucial for maximizing energy extraction, have traditionally relied on linear models based on small motion assumptions. However, recent studies indicate that these models do not adequately capture the complex dynamics of WECs, especially when large motions are introduced to enhance power absorption. The nonlinear Froude–Krylov (FK) forces, particularly in heaving-point-absorbers with varying cross-sectional areas, are acknowledged as key contributors to this discrepancy. While high-fidelity computational models are accurate, they are impractical for real-time control applications due to their complexity. This paper presents a …

What Utahns Can Do To Strengthen Girls & Women: Findings From Community Conversations Across Utah, Corinne Clarkson, Susan R. Madsen

Marketing and Strategy Faculty Publications

For many people, Utah is a great place to live.¹ The state consistently ranks high in national rankings and boasts high volunteerism, affordability, happiness, outdoor recreation, social mobility, and more.² These top rankings emphasize qualities we can—and should—be pleased with. However, extensive research continues to show that women and girls are not thriving in many critical ways, and that has detrimental effects for Utah families and communities.³ From economic insecurity, limited access to mental healthcare, sexism in the workplace, and unequal representation in all sectors of leadership, Utah women face a myriad of challenges, often without the …

Portuguese For Mozambican Mothers – A Language Empowerment App, Josh Kindarara, Alexandre Lopes, Gwendolyn Patwardhan, Riana Santos, Sara Wheeler

Computer Science and Engineering Senior Theses

In Mecúfi, Mozambique, the mothers of children who attend school through the DIFF EDUCATION program have a strong desire to learn Portuguese, the country’s national language, due to colonization. However, they have minimal formal education and little to no experience with technology. They are unable to read or write in any language, including their native language, Makhuwa, making many current educational resources unusable. This leaves these mothers without accessible, culturally relevant tools to help address their linguistic needs.

This project focuses on developing an educational application designed for non-literate mothers in rural Mozambique. The app emphasizes visual and auditory learning …

The Blue Division In The Soviet Union: Cultural Exchange Through The Lens Of Art, Abigail Beus

Undergraduate Honors Theses

This thesis examines the cultural encounters and artistic interactions between Spanish Blue Division volunteers and the Soviet Union during World War II. While scholarship has long focused on the grand-scale looting conducted by the Nazis, Spain’s role—particularly that of the Blue Division—in wartime art theft and cultural exchange has been significantly underexplored. Sent by Franco’s fascist regime to support Hitler’s invasion of the Soviet Union, the Blue Division served not only as military auxiliaries but also as cultural intermediaries. Drawing on memoirs, letters, and the Blue Division’s own newspaper Hoja de Campaña, this study analyzes how Spanish soldiers encountered, …

Sg-Met: Past To Present Day Evolution, Aiden Echols, Bs, Madison Via, Bs, Audrey L. Zapletal, Otd, Ms, Otr/L, Cla, Chse, Karla A. Bell, Pt, Dpt, Phd, Fnap

Thomas Jefferson University Faculty Days

Background

LGBTQ+ communities experience health care and health disparities; some reasons include:

• barriers in care,
• negative attitudes,
• lack of awareness by healthcare providers.

Studies have found healthcare professionals are not adequately trained in LGBTQ+ care

Educators benefit from professional development related to LGBTQ+ inclusivity in higher education.

Direct Upcycling Of Degraded Ncm Via Low-Temperature Surface Engineering For High Performance Lithium-Ion Batteries, Yu Wang, Chris Yuan

Faculty Scholarship

Upcycling degraded low-Ni cathode materials into Ni-rich alternatives offers significant economic and environmental benefits for lithium-ion battery production. However, the stability and safety of the upcycled materials remain challenging due to their aggressive composition. This study reports an innovative two-step upcycling method that integrates a coating process with a low-temperature annealing process, thereby successfully upcycling degraded NCM622 with a LiAlO2 coating layer. Through comprehensive characterization, the recovery of crystal structure and uniform LiAlO2 coating on the particle surface are confirmed by XRD and XPS results. As a result of structural recovery and surface engineering, upcycled NCM622 demonstrates an initial capacity …

Dairy And Food Science Student Newsletter, June 4, 2025, Department Of Dairy And Food Science

Dairy and Food Science Student Newsletter

No abstract provided.

K-Mshc: Unmasking Minimally Sufficient Head Circuits In Large Language Models With Experiments On Syntactic Classification Tasks, Pratim Chowdhary, Peter Chin, Deepernab Chakrabarty

Computer Science Senior Theses

Understanding which neural components drive specific capabilities in mid-sized language models ($\leq$10B parameters) remains a key challenge. We introduce the $(\bm{K}, \epsilon)$-Minimum Sufficient Head Circuit ($K$-MSHC), a methodology to identify minimal sets of attention heads crucial for classification tasks as well as Search-K-MSHC, an efficient algorithm for discovering these circuits. Applying our Search-K-MSHC algorithm to Gemma-9B, we analyze three syntactic task families: grammar acceptability, arithmetic verification, and arithmetic word problems. Our findings reveal distinct task-specific head circuits, with grammar tasks predominantly utilizing early layers, word problems showing pronounced activity in both shallow and deep regions, and arithmetic verification demonstrating a …

Character Relationship Prediction In Movies: Toward Emotionally-Aware Automatic Audio Descriptions, Seung Hyun Hahm

Computer Science Senior Theses

Automatic audio description (AD) systems support visually impaired audiences by narrating visual content, but they often fail to capture the interpersonal dynamics that underpin narrative understanding. In this work, we introduce a novel framework for character relationship prediction as a means of enriching audio descriptions with socially grounded context. Our contributions are threefold: (1) we propose the Character Relationship Module (CRM), which extends identity-aware video captioning with directed sentiment inference between character pairs; (2) we develop a scalable weak supervision pipeline that uses large language models to generate 669,520 relationship annotations across 202 films; and (3) we construct a complementary …

Bayesian Segmentation–Driven Informative Path Planning For Uav-Based Water Orthomosaic Generation, Phuc Dai Tran

Computer Science Senior Theses

This paper presents a comprehensive implementation

study of an informative path planning (IPP) algorithm

for autonomous water body detection and mapping using

unmanned aerial vehicles (UAVs). We propose a hybrid IPP

framework that seamlessly integrates Bayesian probabilistic

classification and real-time uncertainty quantification to achieve

superior flight efficiency and mapping accuracy compared

to conventional systematic coverage methods. Our approach

employs the state-of-the-art SegFormer deep learning segmentation

model in conjunction with log-odds-based orthomosaic

generation to produce high-fidelity water body maps under

diverse environmental conditions. Through random sampling of

the FloodNet dataset, we demonstrate that our IPP algorithm

maintains flight distance while achieving …

Advances In Molecular Imaging Of Vegfrs: Innovations In Imaging And Therapeutics, Hanieh Karimi, Sarah Lee, Wenqi Xu, Sigrid A. Langhans, David K. Johnson, Erik Stauff, Heidi H. Kecskemethy, Lauren W. Averill, Xuyi Yue

Department of Radiology Faculty Papers

Vascular endothelial growth factor receptors (VEGFRs) are key regulators of angiogenesis, lymphangiogenesis, and vascular permeability, playing essential roles in both physiological and pathological processes. The VEGFR family, including VEGFR-1, VEGFR-2, and VEGFR-3, interacts with structurally related VEGF ligands (VEGFA, VEGFB, VEGFC, VEGFD, and placental growth factor [PlGF]), activating downstream signaling pathways that mediate critical cellular processes, including proliferation, migration, and survival. Dysregulation of VEGFR signaling has been implicated in numerous diseases, such as cancer, cardiovascular conditions, and inflammatory disorders. Targeting VEGFRs with radiopharmaceuticals, such as radiolabeled peptides, antibodies, and specific tracers like 64Cu-bevacizumab and 89Zr-ramucirumab, has emerged as a powerful …

A First Look Into Parental Strategies, And Challenges Around Children’S Device Usage In Urban Nepal, Rizu Paudel, Prakriti Dumaru, Ankit Shrestha, Mahdi Nasrullah Al-Ameen

Computer Science Student Research

There have been substantial changes in the landscape of technology use by children in Global South during COVID-19, when the shift to online learning platforms necessitated parents to avail personal devices (e.g., smartphones, computers) for their children to fulfill their educational needs. However, the use of devices by children are not limited to serving educational purpose only. Our study positions itself in a critical post-pandemic period in Nepal, characterized by the increase in device use by children, while a little study to date, investigated parental mediation in this developing country. To this end, we conducted semi-structured interviews with 20 parents, …

Unveiling Success: A Qualitative Exploration Of Job Offer Attainment Among International Female Master's Graduates In Technology, Anna Bahvala

USF Tampa Graduate Theses and Dissertations

This qualitative study explores the job search experiences of international female graduates from a Master of Science in Business Analytics and Information Systems (MS BAIS) program in the United States. I focus on the job search and preparation strategies that differentiate graduates, earning $100,000 and above from their peers. Using an Appreciative Inquiry framework and attribution theory as a foundation, the research examines the intersection of gender, mindset, risk-taking, negotiation skills, and self-efficacy in job attainment outcomes. Nine participants were interviewed, with data analyzed using Saldaña’s coding techniques to identify common themes and behaviors. Findings indicate that high earners demonstrated …

Importance Of Outbreak Response Research In Bridging Knowledge Gaps On Emerging Infectious Diseases, Robert F Breiman, David Wang, Michael Diamond, Adrianus C M Boon, Et Al.

2020-Current year OA Pubs

An important outcome of the devastating 2014 West African Ebola virus disease outbreak and the 2020 COVID-19 pandemic has been the growing promotion of conducting research during outbreaks of emerging infectious diseases (EIDs) as a valuable and acceptable process of acquiring knowledge to enhance our ability to better prevent and control these diseases in the future. Recognising the unique opportunity during outbreaks to leverage increases in cases over a short time interval and in a circumscribed area, we articulate a systematic process of conducting EID outbreak response research, highlighting knowledge gaps that should be prioritised, and measures that can be …

Motionteller: Multi-Modal Integration Of Wearable Time-Series With Llms For Health And Behavioral Understanding, Aiwei Zhang, Arvind Pillai, Andrew Campbell, Nicholas C. Jacobson

Computer Science Senior Theses

As wearable sensing becomes increasingly pervasive, a key challenge remains: how can we generate natural language summaries from raw physiological signals such as actigraphy - minute-level movement data collected via accelerometers? In this work, we introduce MotionTeller, a generative framework that natively integrates minute-level wearable activity data with large language models (LLMs). MotionTeller combines a pretrained actigraphy encoder with a lightweight projection module that maps behavioral embeddings into the token space of a frozen decoder-only LLM, enabling free-text, autoregressive generation of daily behavioral summaries.

We construct a novel dataset of 54,383 ⟨actigraphy, text⟩ pairs derived from real-world NHANES recordings, and …

An Approach To Stylometry Using Causal Language Models, Harrison F. Stropkay

Computer Science Senior Theses

We present a novel stylometric approach using large language models. By training separate models on individual authors' works, we find that each model achieves lower cross-entropy loss when predicting text from its training author compared to other authors' texts. Moreover, for any given text, the model trained on its true author’s corpus yields the lowest loss. We suggest that, in this way, a model trained on one author's works embodies the unique writing style of that author. We demonstrate our approach on works by eight known authors. This approach also confirms that R. P. Thompson wrote the well-studied 15th book …

Mulberry Leaf Disease Detection By Cnn-Vit With Xai Integration, Mohammad Asif Hasan, Fariha Haque, Hasan Sarker, Rafae Abdullah, Tonmoy Roy, Nishat Taaha, Yeasin Arafat, Abdul Karim Patwary, Mominul Ahsan, Julfikar Haider

Instructional Technology and Learning Sciences Faculty Publications

Mulberry leaf disease detection is vital for maintaining the health and productivity of mulberry crops. In this paper, a novel approach was proposed by integrating explainable artificial intelligence (XAI) techniques with a convolutional neural network (CNN) and vision transformer (ViT) for effective mulberry leaf disease classification with three disease classes. Initially, in this proposed CNN-ViT model, features are extracted using a customized CNN architecture, and then the extracted features are fed into ViT for leaf disease classification in a more streamlined approach. The CNN-ViT model achieved promising results with a projection dimension of 64, utilizing 8 heads and 8 transformer …

Study Of Capital And Operation Costs For Reverse Osmosis Desalination Plants, Habiba Mahdy Mohamed

Theses and Dissertations

Desalination is a progressively common solution to supply freshwater in numerous parts of the globe where this resource falls short. Among all desalination techniques, seawater reverse osmosis (SWRO) is the most globally prevalent technology. Evaluating a desalination technology's cost-effectiveness is essential to ensure a well-designed plant can be implemented successfully and within an acceptable budget. In the Egyptian context, where water scarcity heightens the urgency of effective resource allocation, economic indicators such as capital expenditure (CAPEX) and operational expenditure (OPEX) are pivotal in shaping policy and planning decisions. Adopting this integrated financial perspective ensures that desalination projects are not only …