Digital Commons Network^™

Multi-Step Ahead Water Level Forecasting Using Deep Neural Networks, Fahimeh Sharafkhani, Steven Corns, Robert Holmes

Engineering Management and Systems Engineering Faculty Research & Creative Works

Stream gauge height (water level) is a significant indicator for forecasting future floods. Flooding occurs when the water level exceeds the flood stage. Predicting imminent floods can save lives, protect infrastructure, and improve road traffic management and transportation. Deep neural networks have been increasingly used in this domain due to their predictive capabilities in capturing complex features and interdependencies. This study employs four distinct models—Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), transformer, and LSTNet—with MLP serving as the baseline model to forecast water levels. The models are trained using data from 20 distinct river gages across the state of Missouri …

Using Virtual Learning Labs To (Re)Mediate Exclusionary Discipline Practices For Young Children Of Color With Disabilities, Saili Kulkarni, Sunyoung Kim, Nicola Holdman

Faculty Research, Scholarly, and Creative Activity

Disabled children of color (ages 3-8) face multiple, intersecting oppressions in schools and are more likely to be excluded and/or harshly punished for minor behavioral issues compared to white and/or non-disabled peers. Approaches that center multiple stakeholders (families, teachers, and administrators) using a formative intervention called a Learning Lab (LL) have worked to reduce discipline disparities among secondary and upper primary students of color with disabilities (Bal, 2016). Knowing that discipline disparities can start as early as preschool (Kulkarni et al., 2021), however, we examined how LL (re)mediates exclusionary and harsh discipline practices for young children of color with disabilities. …

Genie: Enhancing Information Management In The Restaurant Industry Through Ai-Powered Chatbot, Megha Gupta, Venkatasai Dheekonda, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

In the dynamic restaurant industry, we introduce "Genie," an AI-powered chatbot, represents an advancement in customer service efficiency through technological innovation. Designed to enhance restaurant operations including order processing, reservations, and FAQs management, Genie leverages advanced Natural Language Processing (NLP) techniques. By converting input queries into word embeddings and applying a sophisticated tag classification system, Genie precisely interprets customer intents and generates accurate responses, thereby markedly improving the dining experience. Our thorough examination of various word embeddings and classifiers—Word2Vec, Glove, BERT, Gaussian Naive Bayes, XGB, Artificial Neural Networks (ANN), and Recurrent Neural Networks—revealed that the combination of Word2Vec and ANN …

Stressfit: A Hybrid Wearable Physicochemical Sensor Suite For Simultaneously Measuring Electromyogram And Sweat Cortisol, Nafize Ishtiaque Hossain, Tanzila Noushin, Shawana Tabassum

Electrical Engineering Faculty Publications and Presentations

This study introduces StressFit, a novel hybrid wearable sensor system designed to simultaneously monitor electromyogram (EMG) signals and sweat cortisol levels. Our approach involves the development of a noninvasive skin patch capable of monitoring skin temperature, sweat pH, cortisol levels, and corresponding EMG signals using a combination of physical and electrochemical sensors integrated with EMG electrodes. StressFit was optimized by enhancing sensor output and mechanical resilience for practical application on curved body surfaces, ensuring accurate acquisition of cortisol, pH, body temperature, and EMG data without sensor interference. In addition, we integrated an onboard data processing unit with Internet of Things …

Analysis Of Multivariable Sensor Responses To Multi-Analyte Gas Samples In The Presence Of Interferents And Humidity, Sakin Sarwar Satter, Florian Bender, Nicholas Post, Antonio J. Ricco, Fabien Josse

Electrical and Computer Engineering Faculty Research and Publications

This work presents an adaptive sensor signal-processing approach to enable quantification, using a single gas sensor or a small sensor array, of multianalyte mixtures of aromatic hydrocarbons in the presence of various interferents and humidity for environmental-monitoring applications. Dynamic sensor responses are analyzed by extracting multivariable sensing parameters to provide necessary sensitivity and selectivity. This is achieved by integrating the Levenberg–Marquardt-modified, exponentially weighted, recursive-least-squares-estimation (LM-modified EW-RLSE) algorithm and principal-component analysis (PCA). Achieving measured detection limits as low as 3 μg/L (≤1 ppm by volume) for 6 target analytes, the system exhibits excellent PCA cluster separation for all analytes in the …

Military Roads And King's Houses: Spaces Of Conflict, Mobility And Cultural Assimiliation In The Scottish Highlands, Daniel Maudlin

School of Law, Humanities and Social Sciences

Drawing on a range of primary and secondary sources pertainingto military roads and King’s Houses, this paper highlights thesignificance of space and material culture during the century ofconflict, mobility, and cultural assimilation that drew the ScottishHighlands and Gaelic culture into the nation-state of GreatBritain. The original fieldwork presented here locates, identifies,and analyzes lost inns known as King’s Houses, governmentownedinns established along military roads constructed by theBritish army throughout the eighteenth century. King’s Houseswere central to the narrative of Highland Scotland as a site of bothimprovement and internal colonialism within the British Isles.

Role Of B Cell Mediated Immune Response During Skin Atopic Dermatitis Disease, Hidaya Mohammed Abdul Kader

Dissertations

Atopic dermatitis (AD) is the most prevalent non-infectious skin allergy affecting approximately 10-30% adults and 40% children worldwide. It is clinically characterized by eczematic lesions and elevated IgE levels and is a multifactorial disease that is heterogenous in nature. AD results in a dominant Th2 polarized immune response. Until date, there is no cure for this disease. B cells are key players of humoral immune responses and contribute significantly to allergic responses through IgE secretion. However, recently a subset of B cells termed regulatory B cells (Bregs) have been reported to provide protective role by the secretion of anti-inflammatory cytokine …

Promoting Citizen Science Through Academic Libraries In The Us: A Study On Libguides, Tzu-Heng Chiu, Hsin-Liang (Oliver) Chen

PCOM Scholarly Works

Citizen science is a movement encouraging people to participate in publicly shared scientific projects that leads to new knowledge discovery and fosters community connections to scientific research. The purpose of this study is to review the promotion of citizen science (CS) by research-oriented academic libraries in the US through LibGuides. The data was collected between March 1 and July 10, 2024, from 146 R1 US university libraries as classified by the Carnegie Classification of Institutions of Higher Education. Only 19 of the libraries covered CS in a public LibGuide, with 12 of them having a dedicated CS LibGuide. The information …

Serum Levels Of Total Bile Acids Are Associated With An Increased Risk Of Hcc In Patients With Cirrhosis, Hashem B El-Serag, Aaron P Thrift, Hao Duong, Jing Ning, Saira Khaderi, Amit G Singal, Sumeet K Asrani, Jorge A Marrero, Hannah Powell, Kinza Rizwan, Omar Najjar, Christopher I Amos, Michelle Luster, Abeer Al-Sarraj, Emad Salem, Michael E Scheurer, Jagpreet Chhatwal, Salma Kaochar, Fasiha Kanwal

Faculty, Staff and Students Publications

BACKGROUND: Previous studies have reported higher circulating bile acid levels in patients with HCC compared to healthy controls. However, the association between prediagnostic bile acid levels and HCC risk among patients with cirrhosis is unclear.

METHODS: We measured total BA (TBA) concentration in serum samples collected from a prospective cohort of patients with cirrhosis who were followed until the development of HCC, death, or last study date. Competing risk proportional hazard-adjusted models were used to estimate the association between tertiles of serum TBA levels and the risk of developing HCC. We quantified the incremental predictive value of serum bile acid …

Comparative Effectiveness Of Different Corticosteroid Regimens In Severe Alcohol-Associated Hepatitis, Alvi Husni Islam, Luis Antonio Díaz, Francisco Idalsoaga, Leonardo Guizzetti, Rokhsana Mortuza, Winston Dunn, Ashwani K Singal, Douglas Simonetto, Carolina Ramirez-Cadiz, Wei Zhang, Steve Qian, Joaquín Cabezas, Shiv K Sarin, Rakhi Maiwall, Prasun K Jalal, Fatima Higuera-De La Tijera, Lubomir Skladany, Natalia Bystrianska, Diego Rincon, Kristina R Chacko, Meritxell Ventura Cots, Guadalupe Garcia-Tsao, Juan G Abraldes, Patrick S Kamath, Marco Arrese, Vijay Shah, Ramon Bataller, Juan Pablo Arab

Faculty, Staff and Students Publications

No abstract provided.

Triglyceride And Glucose Index As An Optimal Predictor Of Metabolic Syndrome In Lebanese Adults, Suzan Haidar, Nadine Mahboub, Dimitrios Papandreou, Myriam Abboud, Rana Rizk

All Works

Background: Globally, the prevalence of metabolic syndrome (MetS) is on the rise, especially in Arab countries, which emphasizes the need for reliable ethnic-specific biochemical screening parameters. Methods: Two hundred twenty-one Lebanese adults were enrolled in this cross-sectional study. Biochemical parameters including Homeostasis Model Assessment (HOMA), Triglyceride and Glucose index (TyG), ratio of Triglycerides to High-Density Lipoprotein Cholesterol (TG/HDL-C), Atherogenic Index of Plasma (AIP), and Visceral Adiposity Index (VAI) were assessed for their prediction of MetS. Analysis of covariance, logistic regression, expected-versus-observed case ratio were used to determine model calibration, concordance statistic, area under the receiver operating characteristic curve (AUC) and …

Ad Fontes: Divergence-Time Estimation And The Age Of Angiosperms, Stephen A. Smith, Jeremy M. Beaulieu

Biological Sciences Faculty Publications and Presentations

Accurate divergence times are essential for interpreting and understanding the context in which lineages have evolved. Over the past several decades, debates have surrounded the discrepancies between the inferred molecular ages of crown angiosperms, often estimated from the Late Jurassic into the Permian, and the fossil record, placing angiosperms in the Early Cretaceous. That crown angiosperms could have emerged as early as the Permian or even the Triassic would have major implications for the paleoecological context of the origin of one of the most consequential clades in the tree of life. Here, we argue, and demonstrate through simulations, that the …

Addressing Uncertainty In Renewable Energy Integration For Western Australia’S Mining Cector: A Robust Optimization Approach, Mehrdad Ghahramani, Daryoush Habibi, Seyyedmorteza Ghamari, Asma Aziz

Research outputs 2022 to 2026

The mining industry is a key contributor to Western Australia’s economy, with over 130 mining operations that produce critical minerals such as iron ore, gold, and lithium. Ensuring a reliable and continuous energy supply is vital for these operations. This paper addresses the challenges and opportunities of integrating renewable energy sources into isolated power systems, particularly under uncertainties associated with renewable energy generation and demand. A robust optimization approach is developed to model a multi-source hybrid energy system that considers risk-averse, risk-neutral, and risk-seeking strategies. These strategies address power demand and renewable energy supply uncertainties, ensuring system reliability under various …

Omnidirectional Wireless Power Transfer For Millimetric Magnetoelectric Biomedical Implants, Wei Wang, Zhanghao Yu, Yiwei Zou, Joshua E Woods, Prahalad Chari, Yumin Su, Jacob T Robinson, Kaiyuan Yang

Faculty, Staff and Students Publications

Miniature bioelectronic implants promise revolutionary therapies for cardiovascular and neurological disorders. Wireless power transfer (WPT) is a significant method for miniaturization, eliminating the need for bulky batteries in today’s devices. Despite successful demonstrations of millimetric battery-free implants in animal models, the robustness and efficiency of WPT are known to degrade significantly under misalignment incurred by body movements, respiration, heart beating, and limited control of implant orientation during surgery. This paper presents an omnidirectional WPT platform for millimetric bioelectronic implants, employing the emerging magnetoelectric (ME) WPT modality, and “magnetic field steering” technique based on multiple transmitter (TX) coils. To accurately sense …

Solid Tumour-Induced Systemic Immunosuppression Involves Dichotomous Myeloid-B Cell Interactions, Xiaoxin Hao, Yichao Shen, Jun Liu, Angela Alexander, Ling Wu, Zhan Xu, Liqun Yu, Yang Gao, Fengshuo Liu, Hilda L Chan, Che-Hsing Li, Yunfeng Ding, Weijie Zhang, David G Edwards, Nan Chen, Azadeh Nasrazadani, Naoto T Ueno, Bora Lim, Xiang H-F Zhang

Faculty, Staff and Students Publications

Solid tumours induce systemic immunosuppression that involves myeloid and T cells. B cell-related mechanisms remain relatively understudied. Here we discover two distinct patterns of tumour-induced B cell abnormality (TiBA; TiBA-1 and TiBA-2), both associated with abnormal myelopoiesis in the bone marrow. TiBA-1 probably results from the niche competition between pre-progenitor-B cells and myeloid progenitors, leading to a global reduction in downstream B cells. TiBA-2 is characterized by systemic accumulation of a unique early B cell population, driven by interaction with excessive neutrophils. Importantly, TiBA-2-associated early B cells foster the systemic accumulation of exhaustion-like T cells. Myeloid and B cells from …

Implications Of Pediatric Extracorporeal Cardiopulmonary Resuscitation Simulation For Intensive Care Team Confidence And Coordination: A Pilot Study, Toluwani Akinpelu, Nikhil R. Shah, Karen Weaver, Nicole Muller, James Mcelroy, Utpal S. Bhalala

School of Medicine Publications

Introduction

Extracorporeal cardiopulmonary resuscitation (ECPR) is associated with improved outcomes in select populations, however, crisis resource management (CRM) in this setting is logistically challenging. This study evaluates the impact of ECPR simulation on self-perceived confidence and collaboration of intensive care unit team members.

Methods

This is a prospective observational study analyzing data obtained between July 2018–December 2019. This study focused on non-surgical members of critical care team consisting of pediatric intensivists, resident physicians, registered nurses, respiratory therapists. Participants were expected to perform cardiopulmonary resuscitation (CPR) during the ECPR event, participate in code-team responsibilities and provide ancillary support during cannulation. Pre- …

A Community-Engaged Interprofessional Project Led By Medical Students, School Of Social Work Students, And Resident Physicians: Lessons Learned And Recommendations For Success, Sabrina Orta, Daniela Santos Cantu, Giuiseppe Allan Fonseca, Luis R. Torres-Hostos, Chelsea Chang

School of Medicine Publications

Addressing health disparities through community engagement and interprofessional partnerships is increasingly critical. However, learner-led approaches that integrate medical students, resident physicians, and social work students are not well-studied. We designed a learner-led, interprofessional, public health campaign for a majority Hispanic community, with the goals of building interprofessional leadership skills, engaging learners to address COVID-19 inequities, and disseminating lessons learned. Faculty and students from the University of Texas Rio Grande Valley Schools of Medicine and Social Work partnered with community leaders to pilot an interprofessional project supported by the American Association of Medical Colleges’ Nurturing Experiences for Tomorrow’s Community Leaders (AAMC …

Unital Kadison-Schwarz Type Of Maps, Hajir Khalid Al Zadjali

Theses

Quantum entanglement is an important phenomenon in quantum information theory; its uses range from quantum teleportation and quantum cryptography to solving classical communication problems. One of the issues concerning entanglement is the classification of mixed states into separable states. Positive maps define affine mappings between sets of states of C∗algebras, and have been used to develop a separability criterion for quantum states. Completely positive maps are insensitive to entanglement detection, a weaker notion of positivity is thus needed to detect them. This condition that is stronger than positivity but weaker than complete positivity is given by the Kadison-Schwarz (KS) inequality. …

Automating Modular Construction Manufacturing For Affordable Housing, Enaam Mohammed Ouda

Theses

In recent years, there has been an increase in the frequency and intensity of natural disasters worldwide, resulting in loss of life, displacement, and extensive property damage. According to the UNHCR's report, 122.6 million individuals were displaced by mid-2024, highlighting that the speed and volume of displacement exceeds the availability of solutions for those affected. To address the urgent need for affordable housing solutions, modular construction is preferred over traditional construction methods as it tackles limitations such as long project durations, high costs, and safety and environmental concerns. Integrating advanced technologies in modular construction can further enhance its benefits and …

Food Neophobia, Food Pickiness, And Physical Growth Status In A Sample Of Emirati Children With Neurodevelopmental Disorders And Neurotypical Development In The United Arab Emirates, Hessa Salem Al Derei

Theses

Eating habits and expression of independence in food selection typically starts at about 18 months of age, reaching its peak between 2 and 6 years. However, child feeding problems are common in boys and girls, both- in children with neuro-typical development (NTD) and those with neuro-development disorders (NDDs). Food Neophobia (FN) and Food Pickiness (FP) are considered as the main forms of food rejection in children, affecting their diet variety, and consumption of foods. If unresolved, these may result in nutrient deficiencies and compromised growth and development in children. There is a dearth of evidence on this important topic in …

Effect Of Virtual Reality Technology On Computer Science/Engineering Based Laboratories Education – A Case Study, Saeed Salem Al Shebli

Theses

The rapid growth in mobile applications raises critical concerns about the security of apps and users' privacy, especially in permission control. Mobile apps access sensitive information of users, and the current cybersecurity landscape faces a huge challenge in ensuring the least required permissions are granted. This research focuses on designing an advanced permission recommendation system that couples the strengths of Natural Language Processing (NLP) and Machine Learning (ML) in solving most of the existing gaps in permission management, thus guiding which permissions are mostly needed by Android applications.

The research thus follows a multi-classification approach, integrating state-of-the-art ML techniques with …

A Secure And Effective Framework For Key Concept Mining From Educational Content Using Large Language Models, Ashika Sameem Abdul Rasheed

Theses

This thesis examines the use of Large Language Models (LLMs) in education, with a focus on improving performance and implementing strong security measures. The research has two main goals, namely, the development of an effective lecture summarization technique using LLMs and identifying and addressing security vulnerabilities in LLM applications according to OWASP (Open Web Application Security Project) guidelines. For the former goal, we have proposed an effective framework for fine-tuning LLMs using real lecture datasets and compared the performance of different LLMs. For the latter goal, we conducted a thorough review of the application dataflow of the proposed framework and …

Developing Policies For Digital Twin Data Quality And Security Controls, Ahmad Abdelbaset Hassan

Theses

This thesis is concerned with the data quality and security of the digital twin and how it is going to impact its adoption, trustworthiness, and potential for real-world applications. By addressing the potential vulnerabilities and ensuring the integrity of data, this research aims to contribute to the development of robust and trustworthy digital twin policies that to complement the existing international standards across different domains. Moreover, it underscores the important need to establish robust policies to ensure the successful and secure deployment of digital twins across industries. Previous research, while valuable, may not have fully addressed the critical interplay between …

The Mediational Role Of Religiosity In The Relationship Between Emotional Regulation And Relationship Satisfaction In Uae And Turkey: A Cross-Sectional Study, Beril Berksu

Theses

Marriage and romantic relationships are significant turning points in personal and social development, contributing to overall well-being and health. In romantic relationship studies, relationship satisfaction is one of the most researched aspects and is affected by various variables, which are gender, relationship duration, and other factors. Among these, religiosity and emotional regulation have been proposed as important aspects as well. However, there is still a gap in the literature to understand how these aspects are connected in non-Western countries like Turkey and the UAE regarding cultural differences. The study aims to explore the mediating role of religiosity in the relationship …

Evaluating The Feasibility And Efficacy Of 3d Printing Versus Traditional Construction Techniques: A Study Of Cost, Time And Energy Of A New Lowrise Office Building On The Uaeu Campus, Hala Mohammed Basel

Theses

In line with the forward-looking vision of the United Arab Emirates University (UAEU), this research evaluates the feasibility and effectiveness of 3D printing technology compared to traditional construction methods, focusing on cost, time, and energy efficiency for a new low-rise office building on the UAEU campus. With the growing number of PhD students in the Architectural Engineering Department, expanding office space has become a priority. This study explores how 3D printing technology, known for its sustainability, reduced material waste, and accelerated construction, can address these challenges more efficiently than conventional methods.

Guided by the UAE Vision 2030, which focuses on …

Optimizing Photoacoustic Imaging With Advanced Reconstruction Techniques: Compressive Sensing And Deep Learning, Mary Anjaley Josy

Dissertations

Photoacoustic Tomography (PAT) is a noninvasive medical imaging technique that combines the advantages of optical imaging and ultrasonic detection, offering deep tissue visualization with high resolution. Despite its potential, the effectiveness of PAT is dependent on the accuracy and efficiency of the underlying imaging algorithms. This thesis aims to enhance the resolution and speed of PAT imaging through the integration of compressive sensing (CS) and deep learning techniques, targeting both full-view and limited-view sensor configurations. Two model-based CS iterative algorithms are developed: relaxed-basis pursuit via alternating direction method of multipliers (rBP-ADMM), and split Bregman total variation (SBTV) formulation. Additionally, Plug-and-Play …

The United Arab Emirates Birth Cohort Study: A Pilot Examination Of Maternal And Infant Health Outcomes, Sharon Mutare

Dissertations

The first 1,000 days of life represent a critical window for influencing optimal fetal growth and establishing lifelong health foundations. Recent evidence underscores the significant association between maternal health and nutrition during this period and the subsequent risk of non-communicable diseases, which are responsible for 74% of global deaths. Despite the rapid globalization and urbanization experienced in the United Arab Emirates in recent years, there remains a paucity of research on how maternal health and nutrition impact perinatal outcomes among Emirati women.
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Factors Influencing Innovative Behavior Of Higher Education Students In The United Arab Emirates: An Exploratory Study, Saleha Omer Alseiari

Dissertations

Innovation in the higher education sector is globally recognized as a driving power behind a country's socioeconomic and technological development. This quantitative study explores the primary influences on the innovation of college students in the UAE. Four research goals were proposed: (I) exploring potential input from innovative faculties; (ii) assessing the impact of curriculum excellence; (iii) examining the consequences of students' social abilities; and (iv) researching the moderating impact of supportive leadership. The research also seeks to create a theoretical model connecting various key elements that promote an environment of innovation in the higher education sector of the UAE based …

Navigating The Beliefs, Practices, And Challenges Of High School Principals And Teachers Within Culturally Diverse Contexts: A Mixed-Method Study, Mouza Alketbi

Dissertations

The main objective of this study is to understand the practices, beliefs, and challenges related to cultural diversity among high school principals. It also examines the cultural diversity practices of high school principals from the perspective of teachers, as well as the challenges they encounter when interacting with principals and teaching staff. The study used an exploratory sequential mixed method design, incorporating both qualitative and quantitative methods to gain a better understanding of how high school principals handle their culturally diverse teachers. The first phase involved qualitative research, where (n=5) principals and (n=7) teachers were purposively selected. Semistructured interviews were …

How Management Disclosure And Auditor Disclosure Affect Auditor Liability: The Case Of The Going Concern Financial Accounting Standard, Joel Owens, K. Kelli Saunders, Samantha Schachner, Todd A. Thornock

Business Faculty Publications and Presentations

A current FASB standard requires management to assess the ability of the entity to continue as a going concern (GC) and disclose any substantial doubt about such. Using contextualized experiments wherein the auditor does not issue a GC opinion for an entity that subsequently fails, we study the effects of management disclosure, increased management disclosure responsibility, and auditor disclosure on auditor blame, a proxy for auditor liability. Consistent with predictions based on the Culpable Control Model, we find (1) management disclosure of substantial doubt increases auditor liability; (2) when management has not disclosed substantial doubt, auditor liability is greater under …