Digital Commons Network^™

Analysis Of Rural Broadband Adoption Dynamics: A Theory-Driven Agent-Based Model, Ankit Agarwal, Casey Canfield

Engineering Management and Systems Engineering Faculty Research & Creative Works

Demand for broadband internet has far outpaced its availability. In addition, the "new normal" imposed by the COVID-19 pandemic has further disadvantaged unserved and underserved areas. To address this challenge, federal and state agencies are funding internet service providers (ISPs) to deploy broadband infrastructure in these areas. To support goals to provide broadband service to as many people as possible as quickly as possible, policymakers and ISPs may benefit from better tools to predict take rates and formulate effective strategies to increase the adoption of high-speed internet. However, there is typically insufficient data available to understand consumer attitudes. We propose …

Exploring The Role Of Construction Technology Copilots, James S. Thielmann Jr.

Construction Management

In the rapidly evolving construction industry, the adoption of software solutions is essential for enhancing efficiency, reducing costs, and ensuring timely project delivery. This paper assesses the effectiveness and usefulness of existing construction software solutions, focusing on their functionalities, strengths, and limitations. Among the prominent solutions gaining traction are Trunk.Tools, Constructable.ai, and ProjectEngineer.ai. The construction industry, although historically slower to adopt new technologies, stands to gain a great deal from these tools in terms of project management and performance. This research includes a thorough examination of ProjectEngineer.ai's reach in the market, feature development, and growing uptake among experts in the …

A New Design Strategy For Sizes Of Polymer Gel Treatments Derived From A Comprehensive Assessment Of Their Case Histories, Munqith Aldhaheri, Abdullah Almansour, Na Zhang, Mingzhen Wei, Baojun Bai

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The incentive to revive brownfield oil production extends the interest to apply polymer gel treatments in injection wells. Virtually, volumes of previous remediations implemented in similar reservoir types are used to size new jobs. Such an analogy-Based design procedure imposes a need to evaluate the most frequent designs for each reservoir type based on a comprehensive field survey. This survey provides a new treatment sizing strategy for polyacrylamide-polymer bulk gels by reviewing their field applications in 653 injection wells. the new strategy proposes using the average and most frequent gel volumes per reservoir type as an initial estimate of the …

Maximizing Network Throughput In Heterogeneous Uav Networks, Shuyue Li, Jing Li, Chaocan Xiang, Wenzheng Xu, Jian Peng, Ziming Wang, Weifa Liang, Xinwei Yao, Xiaohua Jia, Sajal K. Das

Computer Science Faculty Research & Creative Works

In this paper we study the deployment of an Unmanned Aerial Vehicle (UAV) network that consists of multiple UAVs to provide emergent communication service for people who are trapped in a disaster area, where each UAV is equipped with a base station that has limited computing capacity and power supply, and thus can only serve a limited number of people. Unlike most existing studies that focused on homogeneous UAVs, we consider the deployment of heterogeneous UAVs where different UAVs have different computing capacities. We study a problem of deploying K heterogeneous UAVs in the air to form a temporarily connected …

Valorization Of Spent Zn-C Battery And Construction And Demolition Waste (Cdw): Fabrication And Characterization Of Geopolymer Composites For Radiation Shielding Applications, Raul Florez, Carlos H. Castano Giraldo, Sandra M. Restrepo-Arcila, Henry A. Colorado

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

There is a Serious Threat of Pollution Due to the High Waste of Energy and Materials Worldwide that Needs to Be Decreased. One Way is to Reduce Waste or Use Them in Secondary Processes. New Eco-Friendly Geopolymer Binders Were Fabricated using Metakaolin, CDW, and Battery Waste (BW) Powders as Starting Materials and a Mixture of Potassium Silicate and Sodium Hydroxide as Activation Solutions. 5 Formulations with BW Powder Replacements Ranging from 5 to 40 Wt% Were Prepared and Subjected to Heat Curing at 80 °C for 24 H. the Effect of Zn-C Battery Waste Content on the Phase Composition, Densification, …

An Editorial For The Special Issue “Processing And Application Of Weather Radar Data”, Youcun Qi, Zhe Zhang, Zhanfeng Zhao, Bong Chul Seo, Huiqi Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

Application Of Multidisciplinary Community Resilience Modeling To Reduce Disaster Risk: Building Back Better, Wanting "Lisa" Wang, John W. Van De Lindt, Blythe Johnston, P. Shane Crawford, Guirong Grace Yan, Thang Dao, Trung Do, Katie Skakel, Mojtaba Harati, Tu Nguyen, Robinson Umeike, Silvana Croope, Andre R. Barbosa

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

From december 10 to december 11, 2021, a deadly tornado outbreak struck across several states in the us, including arkansas, illinois, kentucky, and tennessee. This tornado outbreak resulted in at least $3.9 Billion in damage, more than 90 fatalities, and hundreds of injuries. Mayfield, kentucky, a small city in the eastern united states, was hit by a long-track tornado rated as an enhanced fujita 4 (ef4) scale and was one of the communities most heavily damaged during the tornado outbreak. Following the 2021 tornado event, an analysis was performed in the interdependent networked community resilience modeling environment (in-core) for the …

Chatgpt In Indonesia-Arabic Translation: A Quality Analysis, Nudya Kuntum Khoirel Abidah, Rosyidatul Hikmawati, Very Erawanto

Al-Arabi: Journal of Teaching Arabic as a Foreign Language

ChatGPT applications are increasingly popular for answering questions and providing information to users on various topics and languages, including text translation. In several previous studies, the use of the ChatGPT was deemed coherent, relatively ac

A Cefr-Based Analysis Of Speaking Proficiency In 9th Grade Arabic Textbooks, Resgi Widati Tria Lis Utami, Muhammad Jafar Shodiq

Al-Arabi: Journal of Teaching Arabic as a Foreign Language

This research was conducted because there is no availability of learning materials that are able to support the needs of students in improving their understanding and skills of Arabic, especially in   mahārah kalām . The research method used is librar

The Association Between Body Image Satisfaction And Depressive Symptoms Among Young Women In The Uae With Polycystic Ovary Syndrome (Pcos) And Non-Pcos: A Comparative Quantitative Cross-Sectional Study, Shaima Abdrahman Al-Mekhlafi

Theses

Polycystic Ovary Syndrome (PCOS) is one of the most common syndromes affecting women of reproductive age, (Laggari et al., 2009). PCOS not only impacts women's physical health but also their psychological well-being, often leading to depressive symptoms and lower body image satisfaction, Wang et al. (2023). Recent research indicates a growing prevalence of PCOS among women in the United Arab Emirates (UAE), Mirza et al. (2023). However, there is a noticeable gap in understanding the psychological effects of PCOS on women in the UAE, likely due to cultural sensitivities. This study aims to investigate the association of depressive symptoms and …

Exploring English Language Teachers’ Selfefficacy Beliefs In Relation To Teaching Gifted Students, Shatha Mohammed Sobih

Theses

This study investigates the beliefs of English language teachers regarding their ability to identify and teach gifted students, focusing on how they perceive their own skills in teaching primary grade level students (grades 1, 2, and 3) with exceptional intellectual abilities in English language education. The study followed a qualitative research design and collected data using an open-ended survey consisting of questions that encouraged participants to provide detailed and unrestricted responses. This study also performed purposeful sampling to select respondents with the necessary knowledge and experience to offer rich and meaningful data. This study targeted English language teachers (n …

The Differences Between Metacognitive Reading Strategies Used By Native Arabic Speakers In The Uae When Reading Digital Versus Printed Materials, Razan Majed Shehadeh

Theses

This study explores the differences between the metacognitive reading strategies that native Arabic speakers college students use in the UAE when reading digital vs. printed texts. A convergent Mixed-Methods Design was employed to achieve the purpose of this study. The first data comprised a background questionnaire and two metacognitive reading surveys reflecting reading from digital materials that were conducted with college students (n=100), and the second data set comprised semi-structured interviews with a subset of students sampled from the original pool (n= 8). This study's participants were college students selected randomly from some of the UAE universities. Generally, the results …

Exploring Emirati High School Students' Attitude Towards Reading In L2 (English), Seba Dabik

Theses

Reading in a second language (L2) is a crucial skill for high school students as it helps to develop their second language proficiency and broadens their understanding of the world. It also holds substantial significance in both their personal and academic endeavors. Additionally, proficient L2 reading skills pave the way for promising prospects and professional opportunities. This study examines students' attitudes towards reading academically and recreationally in L2 and the factors that contribute to these attitudes. The study sample comprised of 20 grade 11 UAE national male students (16-17 years old) enrolled in a public Applied Technology School (ATS) in …

Childlessness, Social Network Profiles In Midlife And Late Adulthood, And Their Implications For Subjective Well-Being, Bussarawan Teerawichitchainan, Dahye Kim, Christine Ho

Research Collection School Of Economics

Objectives: Despite the rising prevalence of individuals reaching advanced age without children, little is known about the diversity of support networks within childless populations. We examine the network profiles of childless adults aged 50+ in Singapore, which observes high childlessness rates despite societal emphasis on familism. Methods: We employ latent class analysis to derive network typology based on a 2022 nationwide survey in Singapore. Additionally, we use logistic regression analyses to investigate the sociodemographic correlates of childless individuals' network types and the associations between these network types and subjective well-being. Results: Childless Singaporeans form a heterogeneous group characterized by different …

Enhancing Student Engagement In Introductory Economics With Interactive Videos And Synthesized Readings In Flipped Learning, Bei Hong, Duan Ning, Magdeleine Lew

Research Collection School Of Economics

A major challenge faced by university economics instructors is to find more time to incorporate active learning into the classroom, which encourages student participation. As a result, more instructors choose to flip their classrooms, in which students are encouraged to perform preparatory reading or watch videos to participate more meaningfully and learn more effectively. This study aims to examine how pre-lecture materials enhance student participation by examining the effectiveness of two types of materials: interactive videos and synthesized readings. The synthesized readings contain essential information extracted from the textbook and is presented in a structured manner with highlighted key points. …

Clonality And Epidemiological Studies Of E. Coli Strain Collected From Abu Dhabi Emirate Using Ngs And Bioinformatic Tools, Ahmed Abdelrahman Mohamed

Theses

In the current landscape, where antibiotic resistance in bacteria is steadily rising, the role of bacterial genomics has assumed increasing significance. Therefore, it is necessary for microbiologists to acquire proficiency in the utilization of these methods and tools to harness their potential in gaining valuable insights into bacterial genomes. This can facilitate the development of innovative strategies for managing and treating bacterial infections. Here we present the power of the whole-genome sequencing technology in characterization of multidrug resistant Escherichia coli isolates. Fourteen Escherichia coli isolates were selected for this study. Following the standard microbiological techniques to confirm the sample identification, …

Relationship Between Parents’ Feeding Styles, Nutrition Practices And Risk Of Obesity Among 3-5 Years Old Children In The United Arab Emirates, Reem Mohamed Alkarbi

Theses

Previous studies suggest that parental feeding practices shape preschool eating and physical activity habits, ultimately influencing children's weight status. Despite the high obesity rate in UAE youth, preschoolers’ nutrition habits and their links to parental feeding styles are explored. This study aims to describe parental feeding styles: Emotional (E), Instrumental (I), Prompting and Encouragement (PE), Control Over Eating (COE)), and their associations with nutrition practices, socio-demographic factors, and obesity in UAE preschoolers. Using an online questionnaire, a cross-sectional study surveyed Emirati families with 3-5-year-old children. Data was analyzed using SPSS v.29. 70 preschool Emirati children living in Abu Dhabi participated. …

Technology-Enhanced Mathematics Teaching And Learning: Teachers’ Perspectives On Digital And Generative Ai–Enabled Tool Integration Through A Tpack Lens In Abu Dhabi Schools, Abdalrahman A. Adlouni

Theses

Digital learning is an active approach to education in daily life, and it has been implemented in all the schools in the United Arab Emirates (UAE). Many strategies, such as platforms, online educational websites, and other applications, were used by teachers to support blended learning and assist students in achieving their goals and accomplishing what is required from their curriculum. The main objective of this study is to examine teachers’ perceptions toward teaching mathematics using digital learning tools in Cycle 2 and Cycle 3. Data was collected from (n=114) mathematics teachers in Abu Dhabi City, UAE, during the spring semester …

Effects Of A Taekwondo-Inspired Intervention Program On Children With Adhd, Zubaida Fares Shraim

Dissertations

Exercise and physical activity are beneficial for individuals with Attention Deficit Hyperactivity Disorder (ADHD). The main aim of this study is to investigate the effect of a Taekwondo-inspired intervention program on children with ADHD in the UAE context. The research utilized a mixed methods/quasi-experimental design approach, consisting of two phases. Within the first phase, a promising intensive intervention for children with ADHD has been implemented for five weeks, four sessions weekly. The sample of the first phase consisted of four children aged 8-10 years diagnosed with ADHD. Three assessment instruments were used to collect data in phase one and explore …

Predictive Capacity Of Immune-Related Adverse Events And Cytokine Profiling In Neoadjuvant Immune Checkpoint Inhibitor Trials For Head And Neck Squamous Cell Carcinoma, Angela Alnemri, Sruti Tekumalla, Annie Moroco, Ioannis Vathiotis, Madalina Tuluc, Stacey Gargano, Tingting Zhan, David Cognetti, Joseph Curry, Athanassios Argiris, Alban Linnenbach, Andrew South, Larry Harshyne, Jennifer Johnson, Adam Luginbuhl

Department of Otolaryngology - Head and Neck Surgery Faculty Papers

OBJECTIVES: Certain low-level immune-related adverse events (irAEs) have been associated with survival benefits in patients with various solid tumors on immune checkpoint inhibitors (ICIs). We aimed to investigate the association between irAEs and response to neoadjuvant ICIs in patients with head and neck squamous cell carcinoma (HNSCC) and to identify differences in circulating cytokine levels based on irAE status.

METHODS: This was a retrospective cohort study including three neoadjuvant clinical trials from July 2017 to January 2022: NCT03238365 (nivolumab ± tadalafil), NCT03854032 (nivolumab ± BMS986205), NCT03618654 (durvalumab ± metformin). The presence and type of irAEs, pathologic treatment response, and survival …

Imitating Cost-Constrained Behaviors In Reinforcement Learning, Qian Shao, Pradeep Varakantham, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

Complex planning and scheduling problems have long been solved using various optimization or heuristic approaches. In recent years, imitation learning that aims to learn from expert demonstrations has been proposed as a viable alternative to solving these problems. Generally speaking, imitation learning is designed to learn either the reward (or preference) model or directly the behavioral policy by observing the behavior of an expert. Existing work in imitation learning and inverse reinforcement learning has focused on imitation primarily in unconstrained settings (e.g., no limit on fuel consumed by the vehicle). However, in many real-world domains, the behavior of an expert …

Pkt-Sin: A Secure Communication Protocol For Space Information Networks With Periodic K-Time Anonymous Authentication, Yang Yang, Wenyi Xue, Jianfei Sun, Guomin Yang, Yingjiu Li, Hwee Hwa Pang, Robert H. Deng

Research Collection School Of Computing and Information Systems

Space Information Network (SIN) enables universal Internet connectivity for any object, even in remote and extreme environments where deploying a cellular network is difficult. Access authentication is crucial for ensuring user access control in SIN and preventing unauthorized entities from gaining access to network services. However, due to the complex communication environment in SIN, including exposed links and higher signal delay, designing a secure and efficient authentication scheme presents a significant challenge. In this paper, we propose a secure communication protocol for SIN with periodic k-time anonymous authentication (named PkT-SIN) that allows satellite users to anonymously authenticate to ground stations …

Sgsh : Stimulate Large Language Models With Skeleton Heuristics For Knowledge Base Question Generation, Shasha Guo, Lizi Liao, Jing Zhang, Yanling Wang, Cuiping Li, Hong Chen

Research Collection School Of Computing and Information Systems

Knowledge base question generation (KBQG) aims to generate natural language questions from a set of triplet facts extracted from KB. Existing methods have significantly boosted the performance of KBQG via pre-trained language models (PLMs) thanks to the richly endowed semantic knowledge. With the advance of pre-training techniques, large language models (LLMs) (e.g., GPT-3.5) undoubtedly possess much more semantic knowledge. Therefore, how to effectively organize and exploit the abundant knowledge for KBQG becomes the focus of our study. In this work, we propose SGSH — a simple and effective framework to Stimulate GPT-3.5 with Skeleton Heuristics to enhance KBQG. The framework …

Generalized Graph Prompt: Toward A Unification Of Pre-Training And Downstream Tasks On Graphs, Xingtong Yu, Zhenghao Liu, Yuan Fang, Et Al.

Research Collection School Of Computing and Information Systems

Graphs can model complex relationships between objects, enabling a myriad of Web applications such as online page/article classification and social recommendation. While graph neural networks (GNNs) have emerged as a powerful tool for graph representation learning, in an end-to-end supervised setting, their performance heavily relies on a large amount of task-specific supervision. To reduce labeling requirement, the 'pre-train, fine-tune' and 'pre-train, prompt' paradigms have become increasingly common. In particular, prompting is a popular alternative to fine-tuning in natural language processing, which is designed to narrow the gap between pre-training and downstream objectives in a task-specific manner. However, existing study of …

D3still : Decoupled Differential Distillation For Asymmetric Image Retrieval, Yi Xie, Yihong Lin, Wenjie Cai, Xuemiao Xu, Huaidong Zhang, Yong Du, Shengfeng He

Research Collection School Of Computing and Information Systems

Existing methods for asymmetric image retrieval employ a rigid pairwise similarity constraint between the query network and the larger gallery network. However, these oneto-one constraint approaches often fail to maintain retrieval order consistency, especially when the query network has limited representational capacity. To overcome this problem, we introduce the Decoupled Differential Distillation (D3still) framework. This framework shifts from absolute one-to-one supervision to optimizing the relational differences in pairwise similarities produced by the query and gallery networks, thereby preserving a consistent retrieval order across both networks. Our method involves computing a pairwise similarity differential matrix within the gallery domain, which is …

The Whole Is Better Than The Sum : Using Aggregated Demonstrations In In-Context Learning For Sequential Recommendation, Wang Lei, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Large language models (LLMs) have shown excellent performance on various NLP tasks. To use LLMs as strong sequential recommenders, we explore the in-context learning approach to sequential recommendation. We investigate the effects of instruction format, task consistency, demonstration selection, and number of demonstrations. As increasing the number of demonstrations in ICL does not improve accuracy despite using a long prompt, we propose a novel method called LLMSRec-Syn that incorporates multiple demonstration users into one aggregated demonstration. Our experiments on three recommendation datasets show that LLMSRec-Syn outperforms state-of-the-art LLM-based sequential recommendation methods. In some cases, LLMSRec-Syn can perform on par with …

Factors Affecting Online Consumers' Cultural Presence And Cultural Immersion Experiences In Live Streaming Shopping, Lifu Li, Kyeong Kang, Yafei Feng, Anqi Zhao

Research Collection School Of Computing and Information Systems

This paper conducts research on the interaction between ethnic minority group (EMG) live streamers and online consumers, aiming to present how EMG live streamers’ appearance and interaction factors affect online consumers’ cultural experience during live streaming shopping. Based on the social presence theory and the immersion theory, this paper explores how EMG live streamers impact online consumers’ cultural experience, and it designs personal EMG knowledge as a moderating variable under specific social and cultural backgrounds. Through analysing 325 online questionnaires based on the partial least squares path modelling and variance-based structural equation modelling (PLS-SEM), the study results support that both …

On Efficient Object-Detection Nas For Adas On Edge Devices, Diksha Gupta, Rhui Dih Lee, Laura Wynter

Research Collection School Of Computing and Information Systems

Object detection is a crucial building block for Advanced Driving Assistance Systems (ADAS). These systems require real-time accurate detection on resource-constrained edge devices. Deep learning models are emerging as popular techniques over traditional methods with superior performance. A hurdle in deploying these models is the inference time and computational cost of these models, in addition to training challenges for specialized tasks.We address this using supernet training-based neural architecture search (NAS) to obtain a variety of object detection models at a scale specific to the ADAS application. To this end, we consider a convolutional neural network-based object detection model. We produce …

Network-Based Representations And Dynamic Discrete Choice Models For Multiple Discrete Choice Analysis, Huy Hung Tran, Tien Mai

Research Collection School Of Computing and Information Systems

In many choice modeling applications, consumer demand is frequently characterized as multiple discrete, which means that consumer choose multiple items simultaneously. The analysis and prediction of consumer behavior in multiple discrete choice situations pose several challenges. In this paper, to address this, we propose a random utility maximization (RUM) based model that considers each subset of choice alternatives as a composite alternative, where individuals choose a subset according to the RUM framework. While this approach offers a natural and intuitive modeling approach for multiple-choice analysis, the large number of subsets of choices in the formulation makes its estimation and application …

Unmasking The Lurking: Malicious Behavior Detection For Iot Malware With Multi-Label Classification, Ruitao Feng, Sen Li, Sen Chen, Mengmeng Ge, Xuewei Li, Xiaohong Li

Research Collection School Of Computing and Information Systems

Current methods for classifying IoT malware predominantly utilize binary and family classifications. However, these outcomes lack the detailed granularity to describe malicious behavior comprehensively. This limitation poses challenges for security analysts, failing to support further analysis and timely preventive actions. To achieve fine-grained malicious behavior identification in the lurking stage of IoT malware, we propose MaGraMal. This approach, leveraging masked graph representation, supplements traditional classification methodology, empowering analysts with critical insights for rapid responses. Through the empirical study, which took three person-months, we identify and summarize four fine-grained malicious behaviors during the lurking stage, constructing an annotated dataset. Our evaluation …