Digital Commons Network^™

The Stigmatization Of Autism – Why It’S Still Present And How It Affects Women And Individuals Assigned Female At Birth (Afab), Emma Drauer

Honors Undergraduate Theses

The intent of this thesis is to explain some key factors (the theory of mind notion and the narrow perception of autism) that contribute to the stigmatization of autism and the impact this has on autistic women. Autistic women are heavily underrepresented, especially in the scholarly discourse, so this thesis collected first person accounts of autistic experiences through a survey and interviews. This data revealed important information such as the benefits of a diagnosis, how stigma can prevent this and have consequences, and the struggles autistic women face. Unmasking these struggles can help make the general public aware of their …

Stem Vs. Non-Stem Students’ Stimulant Misuse For Academic Advantages, Camille H. Allie

Honors Undergraduate Theses

This study aimed to explore the relationship between academic discipline, caffeine consumption, reported perception of stimulant misuse behaviors, and reported academic stress at the University of Central Florida. Participants were categorized as either STEM or non-STEM majors and reported whether they had misused stimulants in the past 12 months and their daily average caffeine consumption. Due to the low number of participants who reported stimulant misuse, caffeine consumption was incorporated, grouping participants as either “above median” caffeine consumption or “below median” caffeine consumption. Two 2 (Caffeine Consumption: High vs. Low) x 2 (Major: STEM vs. Non-STEM) between-subjects ANOVAs were conducted …

The Effects Of School-Based Menstruation Education Programs On Anxiety And Self-Efficacy In Adolescent Girls: A Systematic Review, Hannah C. Hart

Honors Undergraduate Theses

A significant global knowledge gap exists for adolescent girls regarding what constitutes a healthy menstrual cycle, proper menstrual hygiene practices, and the implications of reproductive maturity that is ushered in by menarche. This limited understanding can lead to poor health outcomes and the development of negative sentiments and beliefs surrounding the normal experience of menstruation.

This systematic review aims to comprehensively investigate the current state of research regarding the effects of school-based, formal menstruation education programs on adolescent girls, particularly the effects on anxiety and self-efficacy related to the management of menstruation. Furthermore, this work aims to take a stance …

Using Different Measures To Explore Confidence Bias In Video Games, Laura Valdes-Vega

Honors Undergraduate Theses

Researchers have been debating whether video games influence our cognitive and perceptual processing abilities. There are two notable gaps in the video game literature, which are (1) the lack of objective performance measures and (2) not addressing participants’ confidence ratings. This study addressed both by examining (1) the relationship between confidence and performance scores, (2) changes in confidence after gameplay, and (3) the relationship between self-reported play hours and AimLabs performance. A mixed-methods approach was used, combining AimLabs data with pre- and post-game confidence ratings. Participants were grouped (high, medium, low) based on reported weekly play hours and three perceptual …

Flowing Together Or Alone: Impact Of Collaboration In The Metaverse, Fiona Fui-Hoon Nah, Brenda Eschenbrenner, Langtao Chen

Research Collection School Of Computing and Information Systems

The metaverse is the next-generation Internet (Web3) that facilitates social connections and collaborations in a virtual world environment. Given the potential of the metaverse to provide more satisfying and effective means of remote collaborations, exploring the possibility of leveraging the metaverse for these endeavors is warranted. Therefore, an important question to address is whether greater engagement occurs when tasks are completed collaboratively versus individually in the metaverse. We address this question by drawing on flow and transportation theories to hypothesize the effect of carrying out a creative task in the metaverse collaboratively versus alone on one's cognitive absorption, a contextually …

Deep Reinforcement Learning With Explicit Context Representation, Francisco Munguia-Galeano, Ah-Hwee Tan, Ze Ji

Research Collection School Of Computing and Information Systems

Though reinforcement learning (RL) has shown an outstanding capability for solving complex computational problems, most RL algorithms lack an explicit method that would allow learning from contextual information. On the other hand, humans often use context to identify patterns and relations among elements in the environment, along with how to avoid making wrong actions. However, what may seem like an obviously wrong decision from a human perspective could take hundreds of steps for an RL agent to learn to avoid. This article proposes a framework for discrete environments called Iota explicit context representation (IECR). The framework involves representing each state …

Your Cursor Reveals: On Analyzing Workers’ Browsing Behavior And Annotation Quality In Crowdsourcing Tasks, Pei-Chi Lo, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

In this work, we investigate the connection between browsing behavior and task quality of crowdsourcing workers performing annotation tasks that require information judgements. Such information judgements are often required to derive ground truth answers to information retrieval queries. We explore the use of workers’ browsing behavior to directly determine their annotation result quality. We hypothesize user attention to be the main factor contributing to a worker’s annotation quality. To predict annotation quality at the task level, we model two aspects of task-specific user attention, also known as general and semantic user attentions . Both aspects of user attention can be …

Automated Program Refinement: Guide And Verify Code Large Language Model With Refinement Calculus, Yufan Cai, Zhe Hou, David Sanan, Xiaokun Luan, Yun Lin, Jun Sun, Jin Song Dong

Research Collection School Of Computing and Information Systems

Recently, the rise of code-centric large language models (LLMs) appears to have reshaped the software engineering world with low-barrier tools like Copilot that can generate code easily. However, there is no correctness guarantee for the code generated by LLMs, which suffer from the hallucination problem, and their output is fraught with risks. Besides, the end-to-end process from specification to code through LLMs is a non-transparent and uncontrolled black box. This opacity makes it difficult for users to understand and trust the generated code. Addressing these challenges is both necessary and critical. In contrast, program refinement transforms high-level specification statements into …

Demo2test: Transfer Testing Of Agent In Competitive Environment With Failure Demonstrations, Jianming Chen, Yawen Wang, Junjie Wang, Xiaofei Xie, Dandan Wang, Qing Wang, Fanjiang Xu

Research Collection School Of Computing and Information Systems

The competitive game between agents exists in many critical applications, such as military unmanned aerial vehicles. It is urgent to test these agents to reduce the significant losses caused by their failures. Existing studies mainly are to construct a testing agent that competes with the target agent to induce its failures. These approaches usually focus on a single task, requiring much more time for multi-task testing. However, if the previously tested tasks (source tasks) and the task to be tested (target task) share similar agents or task objectives, the transferable knowledge in source tasks can potentially increase the effectiveness of …

Learning To Rank Aspects And Opinions For Comparative Explanations, Trung Hoang Le, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Comparative recommendation explanations help to make sense of recommendations by comparing a recommended item along some aspects of interest with one or many items being considered. This work extends the notion of comparative explanations, by going beyond merely better/worse statements, to further incorporate aspect-level opinions for more informative comparisons. To enhance the quality of both the personalized recommendation and the explanation, we incorporate optimization objectives that preserve relative rankings of aspects and opinions, in addition to the classical rankings of overall preferences for items. We integrate the multiple ranking objectives and multi-tensor factorization together. Experiments on datasets of different domains …

Synthesizing Multi-Person And Rare Pose Images For Human Pose Estimation, Liuqing Zhao, Zichen Tian, Zou Peng, Richang Hong, Qianru Sun

Research Collection School Of Computing and Information Systems

Human pose estimation (HPE) models underperform in recognizing rare poses because they suffer from data imbalance problems (i.e., there are few image samples for rare poses) in their training datasets. From a data perspective, the most intuitive solution is to synthesize data for rare poses. Specifically, the rule-based methods apply manual manipulations (such as Cutout and GridMask) to the existing data, so the limited diversity of the data constrains the model. An alternative method is to learn the underlying data distribution via deep generative models (such as ControlNet and HumanSD) and then sample “new data” from the distribution. This works …

The Evolving Use Of Strategic Planning Tools In The Manufacturing Environment: Implications For Quality 4.0 And Beyond, Richard Lee Wilson

Doctoral Dissertations

"Having a strong strategic plan is critical for success for any business no matter the size of the organization, the product or service they provide, or the industry they serve. There are many methods businesses use to develop their strategic plans. One such method is known as Hoshin Kanri, which has been in use for decades. However, recent years have seen an increase in artificial intelligence, big data, data analytics, and other technology tools to create cyber physical systems on the manufacturing floor. The increase in technology in manufacturing to integrate cyber systems with physical systems spawned a new industrial …

Enhanced Optimization Of Mass Transfer For Carbon Capture And Wastewater Remediation In Algal Systems Through Algorithmic And Bioprocessing Techniques, Peter Ofuje Obidi

Doctoral Dissertations

The scalability and industrial deployment of algal cultivation systems are limited by suboptimal mass transfer, constraining their effectiveness in carbon capture and wastewater remediation. This research investigated these challenges through integrated optimization methodologies that combine algorithmic frameworks with enhanced bioprocessing techniques to enhance efficiency, economy, and scalability. A System-of-Systems (SoS) meta-architecture was developed using genetic algorithms and fuzzy assessor functions to demonstrate a pathway toward cost reduction. Rigorous mechanical and chemical characterizations were quantitatively analyzed to reveal existing optimization strategies and further evaluated the best strategies to use in enhancing mass transfer for improved biomass yield. The work also integrates …

Reflections On Linear B: An Egyptian Hieroglyphic Component, (Draft #2), Gerald Leonard Cohen

Arts, Languages and Philosophy Faculty Research & Creative Works

Most Linear B signs are presently regarded as being of unknown origin, with a general consensus that Egyptian hieroglyphs are at best of minimal help in solving the mysteries. But the present article revisits this subject and suggests that the Egyptian hieroglyphic component goes beyond a borrowing or two. Along the way I noticed that for some Linear B signs a familiarity with Egyptian religious mythology is essential in this effort.

For example, the mysterious Linear B sign 75 is pronounced /we/ and looks like a backwards letter S. I suggest it can be explained as the cobra goddess Wadjet …

Managing Digital Transformation With Blockchain: Distributed Ledger Innovation Platforms, Nobuyuki Fukawa, Gregory J. Fisher

Business and Information Technology Faculty Research & Creative Works

Realizing its overarching potential in achieving digital transformation, leading organizations, such as Air New Zealand, have recently employed blockchain technology to manage 3D printing innovation. Despite the potential benefits, including the key role of blockchain as a supporting technology in Industry 5.0, these applications of blockchain technology in 3D printing are still at a nascent stage in practice and mostly limited to producer innovation. Additionally, 3D printing and blockchain technologies are often independently revolutionizing value capture and value creation, whereas the theoretical implications of their combined impacts on innovation management remain an underexplored domain. Limited digital transformation efforts have been …

Beirut Arab University Faculty Of Architecture Design & Built Environment Yearbook 2023-2024, Beirut Arab University, Faculty Of Architecture - Design And Built Environment, Debbieh Campus, 2025

Yearbooks

The Faculty of Architecture - Design and Built Environment is proud and honored to release the ninth edition of the Yearbook, comprising the most prominent endeavors of the academic year 2023-2024. The work contained on the following pages gives a small glimpse of the diversity, sense of invention, exploration, passion and significance that characterize and define the design outputs from the studios and courses of Architecture and Design programs.

Characterizing The Transient Emission Of Particles And Gases From A Single Puff Of Electronic Cigarette Smoke, Kashala Fabrice Kapiamba, Steven Achterberg, Ta Chun Lin, Philip D. Whitefield, Yue-Wern Huang, Yang Wang

Chemistry Faculty Research & Creative Works

This study employed high-time-resolution systems to examine the transient properties of aerosols and gases emitted from electronic cigarette (EC) puffs. Using a fast aerosol sizer, we measured particle size distributions (PSDs) across various EC brands (JUUL, VUSE, VOOPOO), revealing sizes ranging from 5 to 1000 nm at concentrations of 107 to 1010 cm-3. Most aerosols were found to be in the ultrafine range (below 100 nm), with JUUL-, VUSE-, and VOOPOO-producing aerosols with geometric mean sizes of 19.9, 47.3, and 29.4 nm, respectively. Applying the International Commission on Radiological Protection (ICRP) deposition model and assuming no further evolution of aerosols …

Electrochemically Active Molybdenum Phosphate With Open-Framework Structure, Sutapa Bhattacharya, Milad Aghayi-Anaraki, Nikolay Gerasimchuk, Steven P. Kelley, Amitava Choudhury

Chemistry Faculty Research & Creative Works

Somewhat less investigated, lithium ion containing molybdenum phosphate compounds are synthesized via simple template free hydrothermal method. Single-crystal X-ray diffraction (SCXRD) study reveals that the compounds Li_0.89Mo₂O_1.89F_0.11(PO₄)2(H₂PO₄)·xH₂O (x ≈1) and Li₃Mo₂O₂(PO₄)₃·xH₂O (x ≈1) crystallize in monoclinic C2/m and C2/c space group, respectively. The structures are built of alternate corner-sharing of MoO₆ octahedra and PO₄ tetrahedra forming layers, which are pillared by phosphate groups creating a 3D framework with channels. These …

Charge Your Clients: Payable Secure Computation And Its Applications, Cong Zhang, Liqiang Peng, Weiran Liu, Shuaishuai Li, Meng Hao, Lei Zhang, Dongdai Lin

Research Collection School Of Computing and Information Systems

The online realm has witnessed a surge in the buying and selling of data, prompting the emergence of dedicated data marketplaces. These platforms cater to servers (sellers), enabling them to set prices for access to their data, and clients (buyers), who can subsequently purchase these data, thereby streamlining and facilitating such transactions. However, the current data market is primarily confronted with the following issues. Firstly, they fail to protect client privacy, presupposing that clients submit their queries in plaintext. Secondly, these models are susceptible to being impacted by malicious client behavior, for example, enabling clients to potentially engage in arbitrage …

Fuzzing Drones For Anomaly Detection: A Systematic Literature Review, Vikas Kumar Malviya, Wei Minn, Lwin Khin Shar, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Drones, also referred to as Unmanned Aerial Vehicles (UAVs), are becoming popular today due to their uses in different fields and recent technological advancements which provide easy control of UAVs via mobile apps. However, UAVs may contain vulnerabilities or software bugs that cause serious safety and security concerns. For example, the communication protocol used by the UAV may contain authentication and authorization vulnerabilities, which may be exploited by attackers to gain remote access over the UAV. Drones must therefore undergo extensive testing before being released or deployed to identify and fix any software bugs or security vulnerabilities. Fuzzing is one …

Road Dependence And Inventory Challenges: A Case Study Of Danone Brazil’S Dairy Supply Chain., Karollyne Nakanishi

Business ETD Collections

The research examines the Danone Brazil raw milk supply chain through the Poços de Caldas factory which operates with more than 1,200 employees and functions as a key facility in Latin America. The research investigates two main questions about how Brazilian road-based transportation affects raw milk inventory stability and which localized tools or emerging technologies would enhance supply reliability.

The research design combined survey data from 42 participants with three interviews. The study reveals that stockouts and overstock and waste occur frequently because of poor road conditions and seasonal disruptions and limited local autonomy which results in monthly milk rejection …

Impact Of Global Semiconductor Shortages On Toyota’S Supply Chain And Production Efficiency Due To Covid-19., Jadouane Dounia

Business ETD Collections

In recent years, the global automotive industry has faced significant disruption, particularly as a result of the COVID-19 pandemic. One of the most critical challenges has been the global semiconductor shortage, which has severely impacted vehicle production and supply chains. Semiconductors, commonly known as chips, are essential components in modern automobiles, supporting functions ranging from vehicle control and infotainment systems to safety features and autonomous driving technologies. The shortage has led to delays in delivering cars to consumers, reduced production capacity, and difficulties in maintaining adequate inventory levels. As a result, many automakers have been forced to slow down or …

Dynamic Interactions Between Natural Gas Return, Financial Market Return, And Energy Stock Return: A Var Analysis Of Conoco Phillips., Caglar Yildiz

Business ETD Collections

This study investigates the dynamic interrelationships among ConocoPhillips (COP) stock returns, natural gas prices, the S&P500 index, and changes in the U.S. 10-Year Treasury bond yield using a Vector Autoregressive (VAR) model over the period January 2020 to July 2025. Weekly data are used to estimate a VAR(4) model, allowing for lagged and contemporaneous interactions across financial and commodity markets. The variables are treated as endogenous, with the model validated through stationarity testing, Johansen cointegration analysis, and diagnostic checks.

Cholesky decomposition is employed for structural identification, with the 10-Year Treasury yield ordered as the most exogenous variable. Wild bootstrap techniques …

“Move Fast And Break Things”: Innovation, Stability, And Trust In The Growth Of Revolut., Belen Blanco Mendoza

Business ETD Collections

In this research project, I chose to examine the strategies used in the growth of the fintech Revolut, namely the ’move-fast-and-break-things’ strategy that was employed at the beginning of the company. With this in mind, I decided on two Research Questions, “With the benefit of hindsight, and a focus on problems caused by low security and poor customer support, is Revolut’s ‘move fast and break things’ philosophy a good strategy for the business?” and “Will Revolut’s new fraud prevention strategies, and advances in AI help recover the lost goodwill caused by their earlier ineffective strategies?”, which guided me …

Fares On Fairness: Using A Total Error Framework To Examine The Role Of Measurement And Representation In Training Data On Model Fairness And Bias, Patrick Oliver Schenk, Christoph Kern, Trent D. Buskirk

Data Science Faculty Publications

Data-driven decisions, often based on predictions from machine learning (ML) models are becoming ubiquitous. For these decisions to be just, the underlying ML models must be fair, i.e., work equally well for all parts of the population such as groups defined by gender or age. What are the logical next steps if, however, a trained model is accurate but not fair? How can we guide the whole data pipeline such that we avoid training unfair models based on inadequate data, recognizing possible sources of unfairness early on? How can the concepts of data-based sources of unfairness that exist in the …

An Overview Of The Special Issue, Rachel Gibson, Trent Buskirk

Data Science Faculty Publications

[Introduction] Across the quantitative social sciences, researchers increasingly face significant challenges and opportunities prompted by the arrival of new sources of very rich, highly granular, and often unstructured digital data. While traditional methods such as surveys and content analysis tools remain indispensable for measuring individual attitudes, behaviors, demographic characteristics, and media messaging online, they often struggle to capture the complex multimodal information streams and metadata generated by social media platforms, mobile devices, sensors, and tracking applications. Collecting and analyzing these diverse new forms of content, dynamic moment-to-moment behaviors, and naturally occurring interactions has become a pressing and exciting research task-one …

Streamlining Digital Elevation Model Construction From Historical Aerial Photographs: The Impact Of Reference Elevation Data On Spatial Accuracy, Xin Hong, Christopher H. Roosevelt

All Works

This study proposes a streamlined workflow for producing historical digital elevation models (hDEMs) from scanned 1950s aerial photographs using structure-from-motion and multi-view-stereo (SfM-MVS) techniques along with co-registration methods. We also conducted a sensitivity analysis to assess the impact of DEM references with varying spatial resolutions on the SfM-MVS process and co-registration accuracy. The DEM references included a 30 m SRTM DEM (low resolution), a 12 m TanDEM-X DEM (medium resolution), and a 5 m DEM provided by the General Directorate of Mapping of the Ministry of National Defense, Republic of T & uuml;rkiye (high resolution). Results indicate that higher resolution …

Science Education In The Age Of Misinformation, Elissar Gerges

All Works

No abstract provided.

University Students' Understanding And Utilization Of Food Labels: A Cross-Sectional Study, Sharifa Alblooshi, Linda Smail, Asya Aldayyani, Falak Zeb, Alia Ibrahim

All Works

Introduction: This study is aimed at investigating Zayed University students' knowledge, attitudes, and practices (KAPs) regarding food labels and at identifying key predictors of food label use through logistic regression analysis.Methods: This quantitative cross-sectional study used a validated questionnaire to elicit data on KAPs regarding the use of nutritional information and food labels. This study was conducted from January to May 2023 in the UAE among students from Zayed University. A total of 1153 students aged 18 and above from Zayed University participated in the study. They were recruited using snowball sampling. Descriptive statistics were obtained using the Statistical Package …

Designing Ai To Foster Acceptance: Do Freedom To Choose And Social Proof Impact Ai Attitudes Among British And Arab Populations?, Sameha Alshakhsi, Mohamed Basel Almourad, Areej Babkir, Dena Al-Thani, Ala Yankouskaya, Christian Montag, Raian Ali

All Works

This study examines the impact of two key AI modalities–freedom of choice (FoC) and social proof (SP)–on public attitudes toward AI, focusing on cultural differences between UK and Arab participants. FoC refers to the option of selecting a non-AI, possibly human, alternative, while SP means knowing that others have used AI without issues. Four scenarios were designed, combining the presence or absence of these modalities. The context was a customer service chatbot for a telecommunications company, familiar to all participants. A total of 639 participants (316 British and 323 Arab) were introduced to the modalities and then the scenarios in …