Digital Commons Network^™

Unfolding Particle Detector Effects And Solving Qcd Inverse Problem With Generative Ai, Tareq Saeed Alghamdi

Computer Science Theses & Dissertations

Advancements in artificial intelligence (AI) have revolutionized high-energy physics by enabling generative models to address key detector-related Challenges. This work explores the generative model to mitigate smearing, acceptance, and inefficiency in particle detectors, enhancing experimental precision.

We present a generative model-based framework to model and correct detector distortions. Using the Jefferson Lab CLAS g11 experiment as a case study, our approach successfully unfolds detector effects in multi-particle final states while preserving multidimensional correlations despite complex reaction mechanisms. A key focus is addressing the acceptance problem—accurately modeling detector acceptance without computationally expensive simulations. By training generative model-based framework on simulated detector …

Formulation And Development Of Enz-1-Targeted Therapy Using Benzimidazole And Benzotriazole Derivatives For Leukemia Treatment: A Comprehensive Study Including Benzene Sulfonamide Derivatives For Antifungal Applications, Ahmed Ashraf Anwar Elsyyad

All Theses

This thesis highlights two chemistry-centered projects that demonstrate the pivotal role of synthetic organic methodologies in addressing critical health concerns. The first project involved the multi-step synthesis of benzimidazole and benzotriazole derivatives from aniline substrates, achieving high yields of 80–90%. These compounds were rigorously characterized by 1H and 13C NMR spectroscopy, establishing their structural integrity and laying the groundwork for future evaluations against leukemia. The second project involved designing small-molecule inhibitors to combat antifungal resistance, based on a piperazine scaffold, targeting Sec14 lipid-binding proteins essential for fungal viability. The synthesized (phenylsulfonyl) piperazine derivatives also displayed excellent yields and were thoroughly …

Structural Organization And Thermal Properties Of Polycaprolactone (Pcl) Nanofibers And Energetic Ionic Liquids (Eils) Investigated By Flash Differential Scanning Calorimetry (Flash Dsc), Aishorjo Paul Bablee

All Theses

This study explored the thermal behavior and structural organization of two materials, electrospun poly(e-caprolactone) (PCL) nanofibers and energetic ionic liquids (EILs). To this purpose, Flash Differential Scanning Calorimetry (DSC) has been used. Both materials are of significant interest for advanced applications such as biomedical devices, drug delivery, propellants, and energy storage due to their tunable physical properties and responsive thermal behavior.

The first part of the study investigated the structure-property relationship of electrospun PCL nanofibers, a biodegradable, semi-crystalline polymer widely used in biomedical applications. Cooling rates ranging from 0.1 to 2000 K/s and a fixed heating rate of 500 K/s …

Emotional Pathways To Trauma: Racialized Policing And Psychological Distress In Black Adolescent Males, Rochelle S. Parrish

All Theses

Introduction: Black American males, including adolescents, are disproportionately subjected to aggressive policing, often without criminal wrongdoing (Geller et al., 2014; Sewell et al., 2016). These encounters are frequently described as traumatic, marked by fear, loss, and emotional disruption (Smith Lee & Robinson, 2019). Whether direct or vicarious, such experiences can produce lasting psychological effects, particularly among Black boys who face compounded vulnerability from racialized surveillance and community-level trauma (DeVylder et al., 2018; Smith & Patton, 2016). Proactive policing tactics, such as investigatory stops and verbal aggression, have been linked to symptoms consistent with post-traumatic stress disorder (PTSD), including hypervigilance, avoidance, …

Recommended For You Streaming Platform Recommendation Algorithms And Consumer Rights, Margaret Wilson

Canadian Journal of Law and Technology

Streaming platforms are becoming increasingly popular with consumers. In Canada, recent studies have suggested that 55% of Canadians use video streaming services, like Netflix, on a daily basis. Similarly, up to 30% stream audio content daily on platforms like Spotify.6 The federal government has recognized that the broadening use of these technologies creates new challenges for consumer privacy and has proposed updates to consumer privacy laws in Bill C-27. With the dissolution of the 44th Parliament on March 23, 2025, Bill C-27 died on the roll and will not be adopted. As proposed legislation, Bill C-27 signalled the direction of …

Balancing The Use Of Ai With Canadian Privacy Rights: An Analysis Of Personal Information Collection Through Emerging Ai Tools, Tamie Dolny, Methura Sinnadurai

Canadian Journal of Law and Technology

Biometric information collection through artificial intelligence (AI) is a new, dynamic and exciting technology that also raises significant privacy law considerations for in house and governmental lawyers in Canada. While organizations may be quick to collect personal information using forms of AI technology, these entities should be aware of the legal risk posed by technologies which may violate the Freedom of Information and Protection of Privacy Act (FIPPA)1 and/or the Municipal Freedom of Information and Protection of Privacy Act (MFIPPA),2 especially if users are unaware of, or have not consented to the use of their personal information by the AI …

Mantle Flow And Crustal Deformation Revealed By Seismic Anisotropy In The Subduction Zone Beneath Myanmar, Enbo Fan, Mingming Jiang, Yinshuang Ai, Stephen S. Gao, Kelly H. Liu, Yumei He, Yiming Bai, Guangbing Hou, Yuan Ling, Chit Thet Mon, Myo Thant, Kyaing Sein

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The oblique convergence of the Indian and Eurasian plates drives significant deformation in the crust and mantle beneath Myanmar. However, the crustal deformation in the Indo-Burman Ranges (IBR) and mantle flow beneath Myanmar and adjacent areas remain unclear due to limited studies. We utilized data from the newly deployed second phase of the China-Myanmar Geophysical Survey of the Myanmar Orogen array to perform shear wave splitting analysis of PKS, SKKS, and SKS (XKS) phases. Our results, together with previous findings, provide new insights into mantle flow and crustal deformation across central Myanmar. In the IBR, we observed a transition from …

Training Robot Swarms For Adaptive Foraging In Environments With Obstacles, Pigar Biteng, Tameem Uz Zaman, Qi Lu

Computer Science Faculty Publications

In this work, we train adaptive and efficient foraging strategies for robot swarms in a large, unmapped search space with multiple randomly distributed box obstacles using the penalty-reward based NeuroEvolution of Augmented Topologies (NEAT), P-NeatFA. This model enables efficient multi-robot foraging behavior and obstacle avoidance by rewarding effective actions and penalizing inefficient ones, thereby minimizing redundant exploration and outperforming traditional stochastic foraging algorithms. We optimize foraging strategies and search patterns in robot swarms by training models that maximize cumulative rewards in three types of resource distribution environments. The evaluation focuses on the number of resources collected within a fixed time …

Evolving Adaptive Foraging Robot Swarms With Neat In Environments With Obstacles, Tameem Uz Zaman, Pigar Biteng, Qi Lu

Computer Science Faculty Publications

We apply NeuroEvolution of Augmented Topologies (NEAT) to evolve adaptive and efficient swarm foraging behaviors in unknown environments with randomly placed obstacles. By rewarding effective actions and penalizing inefficient ones using the proposed strategy P-NeatFA, the training generates efficient foraging and obstacle avoidance strategies, reducing redundancy and outperforming traditional stochastic foraging algorithms. Optimization is guided by cumulative reward-based fitness, evaluated through simulations involving three types of distributed resources. Foraging performance is assessed in terms of resource retrieval rates. We compare the performance of our proposed P-NeatFA with that of CPFA and NeatFA. Experimental results show that P-NeatFA significantly outperforms the …

Optimal Quantization For Nonuniform Discrete Distributions, Russel Cabasag, Samir Huq, Eric Mendoza, Mrinal Kanti Roychowdhury

School of Mathematical & Statistical Sciences Faculty Publications

This paper explores the process of optimal quantization for several types of discrete probability distributions. Quantization is a technique used to approximate a complex distribution with a smaller set of representative points, which is important in fields such as data compression and signal processing. We begin by examining two specific nonuniform distributions over a finite set of values and identify the best representative points for different levels of approximation. We then extend our analysis to two infinite discrete distributions: one supported on the reciprocals of natural numbers and another on the natural numbers themselves. For these distributions, we compute the …

Incorporating Ecosystem Service Assessments Into Development Planning − Impact From A Dredging Project In South Australia On Seagrass, Sam Gaylard, Rachel Colella, Matt Nelson, Paul Lavery, Michelle Waycott

Research outputs 2022 to 2026

Major infrastructure development is required for economic development and to improve human well-being, however conflict exists between developers and the community. Environmental impact assessment (EIA) is used in over 100 countries to evaluate potential impacts of major developments across environment, economy, and social benchmarks. However, EIA has been criticized for a lack of transparency and accountability, lack of consultation or participation and inadequate science. An ecosystem service assessment (ESA) recognizes the links between the environment and the socio-economic environment, resulting in a more holistic evaluation of potential impacts and effective community consultation. Despite this, its inclusion within EIA's is rare. …

A Single Bout Of Resistance Or High-Intensity Interval Training Increases Anti-Cancer Myokines And Suppresses Cancer Cell Growth In Vitro In Survivors Of Breast Cancer, Francesco Bettariga, Dennis R. Taaffe, Cristina Crespo-Garcia, Timothy D. Clay, Mauro De Santi, Giulia Baldelli, Sanjeev Adhikari, Elin S. Gray, Daniel A. Galvão, Robert U. Newton

Research outputs 2022 to 2026

Purpose: Breast cancer is the leading cause of cancer-related death in women, highlighting the need for strategies to mitigate recurrence and mortality. We examined the effects of a single bout of resistance training (RT) versus high-intensity interval training (HIIT) on anti-cancer myokines and in vitro cancer cell suppression. Methods: Thirty-two survivors of breast cancer were randomly allocated to a single bout of RT (n = 16) or HIIT (n = 16). Blood was collected before, immediately post (0P) and 30 min post (30P) exercise. We measured serum levels of decorin, interleukin 6 (IL-6), secreted protein acidic and rich in cysteine …

Discordance Of Small Dense Ldl Cholesterol Beyond Ldl Cholesterol Or Non–Hdl Cholesterol And Carotid Plaque, Jinqi Wang, Xiaoyu Zhao, Yanchen Zhao, Rui Jin, Yunfei Li, Jiahe Wang, Yueruijing Liu, Zhiyuan Wu, Xiuhua Guo, Lixin Tao

Research outputs 2022 to 2026

Background: Different low-density lipoprotein (LDL) particles exhibit distinct proatherogenic properties. Objectives: This study sought to evaluate associations of small dense low-density lipoprotein cholesterol (sdLDL-C), large buoyant low-density lipoprotein cholesterol (lbLDL-C), sdLDL-C/LDL-C ratio, and sdLDL-C/lbLDL-C ratio with carotid plaque (CP) risk in the general population, and to perform discordance analyses to determine which biomarker better reflects CP risk beyond low-density lipoprotein cholesterol (LDL-C) and non–high-density lipoprotein cholesterol (non-HDL-C). Methods: This study enrolled 20,369 participants from Beijing Health Management Cohort. Discordant sdLDL-C, lbLDL-C, or ratio metrics (sdLDL-C/LDL-C and sdLDL-C/lbLDL-C) relative to LDL-C or non-HDL-C, and discordant ratio metrics relative to sdLDL-C, were …

Ed-Filter: Dynamic Feature Filtering For Eating Disorder Classification, Mehdi Naseriparsa, Suku Sukunesan, Zhen Cai, Osama Alfarraj, Amr Tolba, Saba Fathi Rabooki, Feng Xia

Research outputs 2022 to 2026

Eating disorders (ED) are critical psychiatric problems that have alarmed the mental health community. Mental health professionals are increasingly recognizing the utility of data derived from social media platforms such as Twitter. However, high dimensionality and extensive feature sets of Twitter data present remarkable challenges for ED classification. To overcome these hurdles, we introduce a novel method, an informed branch and bound search technique known as ED-Filter. This strategy significantly improves the drawbacks of conventional feature selection algorithms such as filters and wrappers. ED-Filter iteratively identifies an optimal set of promising features that maximize the eating disorder classification accuracy. In …

3d Printing Of Short Fiber Reinforced Polypropylene: Novel Lattice Architecture And Material Characterization, Mohammad Ghazi Alshneeqat

Theses

This study explores the enhanced compressive behavior of 3D-printed single and double gyroid solid-networks lattices. Where the double gyroids are constructed from two intertwined single gyroid structures. These structures were designed by nTop implicit modeling tool and then fabricated by material extrusion additive manufacturing method at optimized printing parameters, including optimized nozzle temperature and raster angle. The main objective of this study is to reveal the compressive behavior of the novel double gyroid lattice structure and then to tailor its response through variable gyroid heights. Standard polymer tests were performed, considering thermogravimetric analysis, to confirm the thermal stability of the …

An Evidence-Based Report On Digital Inclusion In Cornwall: -, Katharine Willis

School of Art, Design and Architecture

This report establishes Cornwall’s first comprehensive baseline on digital inclusion, combining quantitative survey data with qualitative insights to reveal the scale, nature, and geography of digital exclusion across the county. Cornwall faces a dual challenge of ensuring equitable digital skills and addressing infrastructure and affordability barriers. While overall digital use is high, significant groups remain excluded, particularly older adults, low-income households, those without qualifications, and residents in rural or deprived areas. These challenges pose risks not only to individuals’ access to services and opportunities but also to Cornwall’s social and economic resilience.

Microplastics And Other Plastic-Like Microdebris In Sediments From The Dart River And Estuary, Southwest England, Maia Killian, Andrew Turner

School of Geography, Earth and Environmental Sciences

Surficial sediment samples (n = 10) collected from a transect of a river-estuary (Dart) in southwest England have been analysed for geochemical characteristics, anthropogenic metals (Cr, Cu, Sn, Pb, Zn), and microplastics (∼50 μm–5 mm) and other microplastic-like debris. Results indicated the finest grains towards the lower river and upper estuary, a seaward increase in sedimentary Ca, and loss on ignition ranging from about 0.7 to 4 %. Anthropogenic metals were heterogeneously distributed throughout the catchment with maximum concentrations in the river or lower estuary. Microplastics were dominated by fibres, with concentrations ranging from 110 to 1800 kg−1 and composition …

Implementation Of Link Workers In Primary Care: Synopsis Of Findings From A Realist Evaluation, Stephanie Tierney, Geoff Wong, Debra Westlake, Amadea Turk, Steven Markham, Jordan Gorenberg, Joanne Reeve, Caroline Mitchell, Kerryn Husk, Sabi Redwood, Tony Meacock, Catherine Pope, Beccy Baird, Kamal R. Mahtani

Peninsula Medical School

Background: Social prescribing link workers formed part of the Additional Roles Reimbursement Scheme introduced into primary care in England from 2019. Link workers assist patients experiencing issues affecting their health and well-being that are 'non-medical' (e.g. lack of social connections, financial difficulties and housing problems). They give patients space to consider these non-medical issues and, when relevant, connect them to support, often within the voluntary-community-social-enterprise sector. We conducted an earlier realist review on the link worker role in primary care. We then carried out a realist evaluation, described in this report, to address the question: When implementing link workers in …

Explainable Machine Learning Surrogate Modeling For Exit Gradient Prediction In Hydraulic Structures Using Numerical Simulations, Prayas Rath, Jianting Zhu, Kevin M. Befus

Geosciences Faculty Publications and Presentations

Accurate prediction of exit gradients is essential for designing impounding hydraulic structures, such as dams and levees, to mitigate seepage-induced piping failures. Conventional analytical methods often neglect boundary effects and anisotropy, limiting their applicability in complex geological settings. This study develops an XGBoost-based machine learning surrogate model trained and tested on 8,000 MODFLOW numerical simulations to predict exit gradients under varying hydraulic and geological conditions. The data set covers numerous parameters, including anisotropy, head differences, structure width, cut-off wall depth, aquifer thickness, and uninterrupted riverbed length. The coefficient of determination for test data is 0.88, demonstrating reliable exit gradient prediction …

A Multi-Source Remote Sensing-Based Geocommunication Tool For Global Flood Monitoring And Management, Ebrahim Hamidi, Brad Peter, Hamed Moftakhari, Hamid Moradkhani

Geosciences Faculty Publications and Presentations

Global warming is expected to increase the frequency of extreme flooding, making rapid and accurate flood mapping crucial for effective risk assessment. Many governmental agencies and organizations are developing flood risk assessment tools; however, due to the lack of observational records, some rely on probabilistic generated data, uncalibrated simulations, or terrain-based methods, all of which are subject to various types of uncertainty. Although remote sensing provides valuable flood data with global coverage, single-source reliance is constrained by satellite revisit rates, resolution, weather conditions, and sensor limitations. To address these challenges, this study introduces a user-friendly application on the Google Earth …

Crystal Structures Of Escherichia Coli Glucokinase And Insights Into Phosphate Binding, Joseph Andrews, Joshua Sakon, Chenguang Fan

Chemistry & Biochemistry Faculty Publications and Presentations

Here, we report the crystal structure of Escherichia coli glucokinase (GLK), which has phosphate bound in the cleft between the alpha and beta domains adjacent to the active site. A ternary complex consisting of GLK, glucose and phosphate is also reported in this work. Diffraction data were collected at 2.63 angstrom resolution for the phospate-bound form (R-work/R-free = 0.191/0.230) and at 2.54 angstrom resolution for the ternary complex (R-work/R-free = 0.202/0.258), both at 297 K. A B-factor analysis of the phosphate-bound GLK structure revealed consistently lower values for phosphate-interacting basic residues in the alpha 4, alpha 5 and alpha 9 …

Faced With Genai, Educators’ Engagement Capacity Matters More Than Ever, Thomas Menkhoff

Research Collection Lee Kong Chian School Of Business

In a commentary, SMU Professor of Organisational Behaviour & Human Resources (Education) Thomas Menkhoff stressed the need for educators to upskill so they can guide students in using generative artificial intelligence (GenAI) responsibly, rather than dismissing it. He argued that universities should move beyond prohibition and invest in AI literacy to safeguard academic integrity. Prof Menkhoff mentioned that combining the use of GenAI tools with effective prompting and Socratic questioning transforms students’ use of technology from passive consumption to active, reflective and critical engagement. To achieve this, he said that schools must set clear guidelines and design AI-compatible assessments that …

Phase 1 Clinical Trial Of ¡Iniciando! La Adultez: A Culturally Tailored Intervention For Transitioning Latino Young Adults With Autism, Antonio F. Pagán, Ana Esparza, Ana C. Ramirez, Miriam Ortiz, Linda Hernandez, Mary Beth Morgan, Geohanna Noel, Alejandro L. Pagán, Jada Salas, Cecilia Montiel-Nava

Psychological Science Faculty Publications

This Phase 1 clinical trial evaluated ¡Iniciando! la Adultez, a culturally adapted intervention for Latino autistic young adults (n = 56) and their parents (n = 63). Young adults showed significant post-treatment improvements on measures of social responsiveness (SRS-2), adaptive behavior (ABAS-3), executive functioning (BRIEF-A), quality of life (WHOQOL-BREF), transition readiness (TRS-A), coping self-efficacy (CSES), and emotion regulation (DERS-SF). Parents reported significant improvements in their perceptions of their child’s social responsiveness, adaptive behavior, and executive functioning, as well as increased transition readiness ratings. Notably, parents evinced a significant decrease in acculturative stress (RASI) and depressive symptoms (PHQ-9), however, …

Trends In The Use Of Non-Nutritive Sweeteners Among Female University Students In The United Arab Emirates, Dalia Haroun, Aseel Ehsanallah, Wafa Mubarak

All Works

Objective: This study aimed to explore the consumption patterns of non-nutritive sweeteners (NNS) among female university students in the United Arab Emirates (UAE), in the context of rising health awareness. Methods: A cross-sectional survey was conducted from February to April 2023 among female university students in the UAE. A total of 192 participants aged 18 and above were recruited through convenience sampling. A structured, self-administered online questionnaire was used to collect data on NNS consumption, motivations for use, physical activity, dietary habits, and self-reported height and weight. Body Mass Index (BMI) was calculated and categorized using the World Health Organization …

From Waste To Solution: Modeling And Characterization Of Grape Seed Bio-Waste For Phosphate Removal From Wastewater, Abeer Al-Bsoul, Zakaria Al-Qodah, Muhammad Tawalbeh, Khalid Bani-Melhem, Khalideh Al Bkoor Alrawashdeh, Mohammad Hailat, Ahmed A. Al-Taani, Eid Gul

All Works

In this study, particles of ground grape seeds were utilized to adsorb phosphate ions from a prepared solution, aiming to reduce phosphate concentration. Through a series of adsorption experiments, the effects of the adsorbent concentration, initial phosphate ion concentration, temperature, and pH on the phosphate ion uptake were studied. The removal efficiency of the phosphate ion decreased from 77 to 61% as a 25 to 45 °C increment in temperature was observed, which indicated the exothermicity in the adsorption process. The phosphate ion movement onto the adsorbent surface that exhibited the highest uptake value favored a neutral reaction environment with …

Validation Of A Methodology For Predicting Yield Acceleration Of Rock Blocks, Madison Haydn-Myer

Graduate Theses & Non-Theses

Rock slope stability is a critical concern in seismically active regions, where earthquakes can trigger sudden and hazardous failures. Predicting these failures is challenging due to the complex interactions between seismic loading and geological characteristics. This study proposes a simplified analytical model to predict yield acceleration based on the forces acting upon a block just before sliding initiates. A key parameter in this equation is the friction acting on the bottom surface of the block. As rock blocks are commonly formed by the intersection of sets of subparallel fractures known as joints, and the roughness and other features of those …

The Effects Of Off-Season Evidence-Based Training Block Periodization Program On The Performance Of Soccer Athletes In A Di School: An Exploratory Study, Ibrahim F. Almughathawi

Electronic Theses and Dissertations

The investigators explored the effects of a two-year evidence-based block periodization strength training program on performance outcomes in NCAA Division I male soccer athletes. The investigators aimed to examine longitudinal changes in body composition, explosive strength, and match-play physical demands, as well as the associations between field-based performance assessment and GPS-derived metrics. Using a retrospective design, data were drawn from a research data repository for athletes who participated in a long-term sport science monitoring program under the same head coach and training conditions. Performance measures included vertical jump assessments (static and counter movement jumps under bodyweight and external load), isometric …

Preschool Teachers’ Perspectives On Conceptual Movement In Academic Instruction: A Mixed- Methods Study With Implications For Early Math, Kehinde H. Orimaye

Electronic Theses and Dissertations

This convergent mixed-methods study investigated Missouri preschool teachers’ familiarity, implementation, and perceptions of conceptual movement (CM), the purposeful integration of bodily actions to support young children’s understanding of abstract academic concepts, particularly in early mathematics instruction. Grounded in embodied cognition and informed by enactivism and the theory of event coding (TEC), the study explored: (a) preschool teachers’ awareness and frequency of CM use; (b) how teacher characteristics such as experience, age group taught, and math anxiety relate to CM implementation; and (c) teachers’ perceptions of CM’s instructional value, implementation challenges, and professional development needs.

Quantitative data were collected through a …

Investigating The Multiple Enzyme Complex In The Carotenoid Biosynthesis Pathway, Mercy Mormor

Electronic Theses and Dissertations

In nature, plant carotenoids are 40-carbon isoprenoids with polyene chains that may have double bonds. They are vital components of all photosynthetic organisms, playing several roles in the plant cell, including photosynthesis, pigmentation, phytohormone synthesis, signaling and photoprotection. In this study, we investigated protein-protein interactions among key enzymes involved in the carotenoid biosynthesis pathway using the Bimolecular Fluorescent Complementation (BiFC) assay. Our results revealed several interactions that suggest a coordinated regulation of enzymatic activity within this pathway, highlighting potential regulatory complexes that influence carotenoid production. The study also highlights the pivotal role of Zeta-Carotene Isomerase (Z-ISO) as a key regulatory …

Reentry For Formerly Incarcerated Individuals: A Focus On Workforce Reentry And Recidivism In Appalachia, Margaret E. Francisco

Electronic Theses and Dissertations

Formerly incarcerated individuals face challenges to successful reentry, a critical component of reducing recidivism and improving public health outcomes. These challenges are particularly acute in rural Appalachia, where structural disadvantages such as limited economic opportunities, healthcare access, and public transportation intersect with stigma and systemic barriers related to prior incarceration. This dissertation addresses these gaps through a mixed-methods examination of reentry and recidivism, grounded in public health frameworks and focused on the unique context of rural Appalachia.

This work includes three studies. First, a PRISMA-guided systematic review synthesized qualitative research on barriers and facilitators to employment following incarceration. Findings highlighted …