Digital Commons Network^™

Dark Times In West Belfast: The Life And Times Of Brendan Hughes (1948–2008), Aaron Brinker

Armstrong Undergraduate Journal of History

This paper covers the life and career of notable IRA operative Brendan “the Dark” Hughes and how his thoughts on the “Armed Struggle” or “Cause” changed over time. Brendan Hughes was forced to frequently deal with violent and heavy handed discrimination from Protestants, which led to him joining the Paramilitary movements as a result of frustration and misplaced youthful vigor. Brendan played a major role in the Troubles through his planning of prolific violent attacks such as the Four Square Laundry attack, Bloody Friday, and the H Block blanket protest and subsequent hunger strike in the Maze Prison. Brendan’s disconnect …

Voices In Transit: Intersectionality, Silence, And Political Engagement In Ride-Sharing, Soran Tarkhani

Commonwealth Review of Political Science

Abstract This study examines Uber as a digitally governed “third space” for political discourse. Based on 4,716 ride observations from Louisville–Southern Indiana—3,676 collected in 2023–2024 and 1,040 in 2025—it uses a mixed-methods design combining multinomial logistic regression and qualitative observation. Political conversations are defined as discussions of parties, elections, policies, or major social issues. Results show that White and male passengers were most likely to initiate such talk, while African American and female riders often remained silent, consistent with Noelle-Neumann’s spiral of silence. African American women faced the strongest intersectional constraints. Women and LGBTQ passengers leaned liberal, while men displayed …

Rheological And Micro Properties Of High-Viscosity Binder-Incorporated Polyphosphoric Acid And Rock Asphalt, Feng Ma, Xinye Jiang, Zhen Fu, Chongxin Zhu, Jenny Liu, Ke Shi, Yalu Wen, Yao Zhang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

To enhance the performance of high-viscosity modified asphalt (HVMA), polyphosphoric acid (PPA) and North American rock asphalt (NA-RA) were incorporated into styrene-butadiene-styrene (SBS)/crumb rubber (CR) composite modified asphalt, resulting in two distinct types of HVMA. The two HVMA types were evaluated at various dosages using a dynamic shear rheometer (DSR), bending beam rheometer (BBR), fluorescence microscope (FM), and Fourier infrared spectroscopy (FT-IR) tests. These tests provided both macroscopic and microscopic insights into their properties. The findings indicated that both PPA and NA-RA modify the asphalt's internal structure, enhancing its temperature resistance. PPA primarily improved high-Temperature performance, while NA-RA enhanced low-Temperature …

Kentucky Cdl Adjudication Pilot And Compliance Needs Study, Jeeyen Koo, Andrew Martin, Jennifer Walton

Kentucky Transportation Center Research Report

This report examines trends in how Kentucky District Courts have adjudicated charges related to commercial driver’s license (CDL) and commercial motor vehicles (CMVs). Using court data, researchers evaluated historical patterns in charge filing volumes as well as conviction, dismissal, amendment, and diversion rates. Between 2002 and 2024, conviction rates declined and dismissals increased. Convictions peaked in the mid-70% range in the early 2000s, but fell to the mid-50% range by 2024. Speeding and other serious traffic violations — many of which are advanceable offenses — were dismissed or amended at rates that could have substantively affected the integrity of CDL …

February 2026, Office Of Research

Research Update

No abstract provided.

Computational Characterization Of A Recently Identified Disinfection Byproduct In Drinking Water: The Chloronitramide Anion And Its Monohydrate Complex, Thufail M. Ismail, Max R. Tucker, Gregory S. Tschumper

Chemistry Faculty Research & Creative Works

The chloronitramide anion (ClNNO₂⁻) was recently identified as disinfection byproduct in drinking water, and various quantum chemistry methods (CCSD(T), MP2, B3LYP, ωB97XD, and M06-2X) are employed in this study to characterize this negatively charged species and its monohydrate complex. Both vertical and adiabatic quantities indicate the excess electron is bound by 3–4 eV. Four ClNNO₂⁻ monohydrate minima were identified, each exhibiting double ionic hydrogen bonding. The computed ClNNO₂⁻⋯H₂O interaction approaches 15 kcal/mol, and it induces pronounced vibrational frequency shifts in both fragments. Natural bond orbital analysis shows a redistribution of …

Electric Dipole Forbidden, Quadrupole Allowed Transitions In The Pure Rotational Spectrum Of Cyclopropylchloromethyldifluorosilane, Alexander R. Davies, Abanob G. Hanna, Alma Lutas, Gamil A. Guirgis, S. A. Cooke, Garry S. Grubbs

Chemistry Faculty Research & Creative Works

In a recent publication, some electric dipole forbidden, quadrupole allowed ΔJ = +2 and x-type transitions were observed in the chirped-pulse Fourier transform microwave spectrum of two conformations of cyclopropylchloromethyldifluorosilane. Many of these transitions arise from a handful of mixed states and mechanisms are proposed through which these transitions become weakly allowed. Observations of electric dipole forbidden, quadrupole allowed transitions in rotational spectra are unusual for molecules which contain a chlorine nucleus owing to the small quadrupole moment of ³⁵Cl and ³⁷Cl; thus, we believe we are the first to observe x-type transitions arising from perturbations caused by …

Bridging Policy And Grassroots Action With Technology: A Framework For Civic Engagement In Environmental Sustainability, Mikhail Ola Adisa, Sonny Rosenthal, Shola Oyedeji, Ifeoma Adaji, Jari Porras

Research Collection College of Integrative Studies

Grassroots and civic organizations are increasingly recognized as “middle actors” in sustainability, leveraging ICT-driven solutions to bridge top-down policies with bottom-up citizen engagement and behavioral change. This study examines how civic organizations in Finland and Singapore integrate digital tools to support sustainable waste management practices aligned with Sustainable Development Goals 11, 12, and 17. Guided by a Design Science Research (DSR) approach and drawing on Middle-Out and multi-level governance theories, we developed and validated the Integrated Sustainability Engagement Framework (ISEF) based on interviews with 21 civic organizations and iterative feedback. Findings highlight the central roles of policy translation, localized practices, …

The Affective Economy Of Toxic Atmospheres: Sensory Governance, Ecological Intelligences And The Performative Politics Of Urban Mosquito Management, Orlando Woods, Creighton Connolly

Research Collection College of Integrative Studies

This paper considers how atmospheres can play a powerful role in troubling the management of nature in the multispecies city. It brings the cyclical nature of atmospheric effects, the affective values and il/logics that determine human responses to non-human threats, and the misguided and potentially deleterious health outcomes that ensue into one analytical frame. Drawing on the empirical case of urban mosquito management in Singapore, it considers how the creation of toxic atmospheres through fogging – blowing insecticides into the air in a bid to kill mosquitoes – is ineffective and sets in motion a cascading series of socio-environmental consequences. …

Atmospheric Circulation Reconstructions Over The Earth (Acre) 2025: Climate Data Recovery, Fiona Williamson

Research Collection College of Integrative Studies

On 15-16 September 2025, Singapore Management University hosted the annual Atmospheric Circulation Reconstructions over the Earth (ACRE, www.met-acre.net/) workshop, ’ACRE 2025: Climate Data Recovery’, chaired by Fiona Williamson, Rob Allan and Praveen Teleti. The 2-day event took place at the College of Integrative Studies and saw around 30 participants from multi-disciplinary backgrounds all working in meteorological data rescue (DaRe, www.community.wmo.int/en/data-rescue-projects-and-initiatives-dare) sharing their latest work and discoveries. Speakers were a mix of climate scientists and historians, archivists and historical climatologists from across the globe. ACRE has been operating for 18 years under Professor Rob Allan, formerly of the UK Meteorological Office …

Geopolitical Ecologies Of Cloud Capitalism: Territorial Restructuring And The Making Of National Computing Power In The Us And China, Justin Kollar, Sol Andrew Stokols

Research Collection College of Integrative Studies

As computing power becomes central to geopolitical rivalry, cloud infrastructure is increasingly framed as critical to national security, economic resilience and technological sovereignty. Current debates often focus on global competition – especially between the U.S. and China – highlighting strategic investments, export controls and infrastructure diplomacy abroad. Yet far less attention has been paid to the domestic territorial transformations that make such geopolitical projection possible. This paper argues that national strategies for AI and cloud dominance depend on the reorganization of land, energy and regulatory systems to sustain large-scale computation. Using a geopolitical ecology framework, we examine how the U.S. …

Hybrid Data-Driven Cement-Stabilized Soil Design: An Integration Of Machine Learning, Multi-Objective Optimization, And Life Cycle Assessment, Chikezie Chimere Onyekwena, Yunli Li, Ikenna J. Okeke, Ubani Obinna Uzodimma, Monday Uchenna Okoronkwo, Wenping Wu

Chemical and Biochemical Engineering Faculty Research & Creative Works

Soil stabilization is crucial in geotechnical engineering, yet conventional methods are often time-consuming, resource-intensive, and environmentally unsustainable. Despite growing interest in Machine Learning (ML) and optimization tools for mix design, few studies integrate these methods with decision-making techniques and environmental assessment to support practical implementation. This study proposes a hybrid data-driven framework for predicting strength, optimizing mix compositions, and evaluating environmental impacts via life cycle assessment of cement-stabilized soft soils. Six ML models were evaluated, and the top-performing eXtreme Gradient Boosting (XGB) model was further improved using the Grey Wolf Optimizer (GWO). The optimized XGB-GWO model, integrated with a polynomial …

Performance And Mechanistic Insights Into Cement Systems Modified With Wastewater-Recovered Struvite, Ugochukwu Ewuzie, Rupack R. Halder, Abdulkareem O. Yusuf, Abiodun A. Saka, Godwin I. Ogbuehi, Titus C. Egbosiuba, Damilola A. Daramola, Monday Uchenna Okoronkwo

Chemical and Biochemical Engineering Faculty Research & Creative Works

Struvite, the stable hydration product and primary strength phase in magnesium ammonium phosphate cement (MAPC), derived from wastewater treatment, has recently been utilized as a sustainable additive to Portland cement (PC). However, its impacts on cement hydration kinetics, pore refinement, rheology, and the mechanisms underlying these processes have not been comprehensively studied. This study developed Portland cement-struvite (PCS) systems by replacing PC with 3–20 % struvite (ST wt.%: PCS3–PCS20) and evaluated these processes using isothermal calorimetry, 3D micro-computed tomography (μXCT), time-dependent rheometry, X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR), and the Krstulović-Dabić (K-D) model. The FTIR/XRD confirmed the coexistence …

Nanocatalytic Enhancement Of Local Heat Transfer In Continuous-Flow Thermal Reactors, Nasser Zouli, Nujud Maslamani, Ayman Yousef, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

An experimental investigation was conducted to evaluate the thermal conductivity (TC) and local heat-transfer coefficients (LHTCs) of nanofluids containing alumina (Al₂O₃), hematite (Fe₂O₃), and copper oxide (CuO) nanoparticles dispersed in deionized water. A newly developed non-invasive LHTC probe was integrated into the inner wall of the test section to enable direct quantification of interfacial heat-transfer performance. The measurements were conducted under laminar and turbulent flow conditons across Reynolds numbers ranging from 1000 to 10,000. The selected nanoparticles were chosen based on their high intrinsic thermal conductivity, cost effectiveness, and, in the case …

Machine Learning In Peak Demand Forecasting: Foundations, Trends, And Insights, Shuang Dai, Fanlin Meng, Hongsheng Dai, Qian Wang, Xizhong Chen, Wenlei Bai, Peizhi Shi, Richard Allmendinger, Yuchen Zhang, Jian Liu

Electrical and Computer Engineering Faculty Research & Creative Works

Peak demand forecasting involves predicting the maximum electricity demand within a specific period, which plays a key role in maintaining the efficiency and stability of power systems. The rapid evolution of power systems, driven by advanced metering infrastructure, local energy applications such as electric vehicles, and the increasing adoption of intermittent renewable energy, has introduced greater randomness and reduced predictability in peak demand. Given the pressing need to address more diverse implementation requirements across different contexts, accurate and reliable peak demand forecasting has become increasingly important. To the best of our knowledge, this study is the first to provide a …

Bibliography For Love Data Week 2026, Annikah Carpio, Sally Park

Library Displays and Bibliographies

A bibliography created to support a display about research data and Love Data Week during February 2026 at the Leatherby Libraries at Chapman University.

Deep Learning Style Transfer For Enhanced Smoke Plume Visibility: A Standardized False Color Composite (Sfcc) In Gems Satellite Imagery, Yemin Jeong, Seung Hee Kim, Menas Kafatos, Jeong-Ah Yu, Kyoung-Hee Sung, Seung-Yeon Kim, Goo Kim, Jae-Jin Kim, Yangwon Lee

Institute for ECHO Articles and Research

Wildfire smoke visualization using geostationary satellite imagery is essential for real-time monitoring and atmospheric analysis; however, inconsistencies in color tone across Geostationary Environment Monitoring Spectrometer (GEMS) images hinder reliable interpretation and model training. This study proposes a Standardized False Color Composite (SFCC) framework based on deep learning style transfer to enhance the visual consistency and interpretability of wildfire smoke scenes. Four tone-standardization methods were compared: the statistical Empirical Cumulative Distribution Function (ECDF) correction and three neural approaches—ReHistoGAN, StyTr2, and Style Injection Diffusion Model (SI-DM). Each model was evaluated visually and quantitatively using six metrics (SSIM, LPIPS, FID, histogram similarity, ArtFID, …

Study Of Nano-Bio Interactions In Biological Fluids: Modelling And Simulations., Beatrice Cipriani

Doctoral

Nanoparticles have attracted significant interest due to their tunable properties and unique physicochemical characteristics, offering promising applications in drug delivery, biosensing, and diagnostics. Their use in medicine has the potential to reshape current paradigms by enabling more efficient, precise, and patient-centric approaches. Although advances in nanomaterial synthesis have rapidly expanded the library of available nanodevices, our understanding of the mechanisms that govern their behaviour at biological interfaces remains limited. Nanoparticles are similar in size to biomolecules found in biological environments, leading to complex, competitive interactions that affect their functional performance, biological fate, and acquired bioidentity. Unlike traditional small molecules, which …

Predicting Water Quality Using Quantum Machine Learning: The Case Of The Umgeni Catchment (U20a) Study Region, Jamal Al-Karaki, Muhammad Al Zafar Khan, Amjad Gawanmeh, Marwan Omar

All Works

The assessment of water quality has become increasingly vital for maintaining the ecological balance and ensuring public safety across global water systems. This study examines the application of Quantum Machine Learning (QML) techniques in a real-world setting to predict water quality in the U20A region of the Umgeni Catchment, Durban, South Africa. We implemented the Quantum Support Vector Classifier (QSVC) and Quantum Neural Network (QNN) on a field-collected dataset. Our results demonstrate that the QSVC is more practical to implement and yields superior performance, achieving 75 % accuracy with polynomial and radial basis function kernels. In contrast, the QNN encountered …

Xgboost-Powered Predictive Analytics For Early Identification Of Thermal Runaway In Lithium-Ion Batteries, Isslam Alhasan, Mohd H.S. Alrashdan

All Works

Lithium-ion batteries are pivotal in powering modern technology, from electric vehicles to portable electronics. However, their safety is challenged by the risk of thermal runaway, a critical failure mode leading to catastrophic consequences such as fires and explosions. This study presents a machine learning framework for the early detection of thermal runaway events using sensor data from over 210 open-source battery tests. The framework utilizes voltage, temperature, and force measurements from experimental mechanical indentation tests, with force data providing additional predictive value beyond standard BMS sensors. Key features such as the rate of temperature change and voltage change were engineered …

Research Journal 2026: People And Places, José A. Rivera Ph.D

Faculty Publications

José Rivera narrates his life history from adolescence into college years, university teaching, research career, publications, and ends with post-retirement service as a giving back to community. For most of his term as an academic, his research focus was on community-based organizations that he terms “peoples’ institutions”: acequia associations and mutual help societies. For data, he conducted field work in New Mexico and the American Southwest as well as internationally, primarily in Mexico, Peru, Spain and the Philippines. While at these locations, he interviewed people, collected maps, researched archives, and took photographs as ethnographic evidence of people and places. His …

Watersmart Farms - Desalination: Brine Management Review, V Ravisankar, E Wendell, S Aktar, B Husbands, L Li, J K. Ruprecht

Natural resources commissioned reports

All desalination technologies generate residual wastes. Waste-stream management poses both cost and implementation challenges that may critically impact project viability, environmental health, and proximate land use. Brine management encompasses brine minimisation and concentration, dilution, and disposal techniques. The scope of this report is to:

• Summarise commercially available approaches to aid in the selection of the best available technology (BAT) for future inland, small-scale desalination plants;
• Provide general performance metrics such as system recovery, energy consumption and costs; and
• List alternative desalination technologies to reverse osmosis (RO) that may mitigate specific residual waste management challenges.

The choice of technology for brine …

Constrained Pricing In Logit-Based Revenue Management, Qian Shao, Tien Mai, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

We consider a dynamic pricing problem in network revenue management in which customer behavior is predicted by a choice model, that is, the multinomial logit model. The problem, even in the static setting (i.e., customer demand remains unchanged over time), is highly nonconcave in prices. Existing studies mostly rely on the observation that the objective function is concave in terms of purchasing probabilities, implying that the static pricing problem with linear constraints on purchasing probabilities can be efficiently solved. However, this approach is limited in handling constraints on prices, noting that such constraints could be highly relevant in some real …

Quantum Chebyshev Transform-Based Graph Neural Networks For Financial Fraud Detection, Minrui Xu, Bingyan Guan, Bethel Hui Ting Loke, Paul R. Griffin

Research Collection School Of Computing and Information Systems

Financial fraud detection is a critical challenge requiring accurate identification of anomalous patterns in complex transaction networks. Graph Neural Networks (GNNs) have emerged as powerful tools for fraud detection by capturing relational structures among entities. Meanwhile, quantum computing offers new possibilities to enhance machine learning through high-dimensional Hilbert spaces and parallelism. In this paper, we propose a hybrid classical-quantum model called QCTGNN (Quantum Chebyshev Transform-based Graph Neural Network) for financial fraud detection. The QCTGNN integrates a classical graph neural network component based on Simplified Graph Convolutions (SGConv) with a quantum component that performs a Chebyshev polynomial-based transform via variational quantum …

Lagrangian Motion Fields For Long-Term Motion Generation, Yifei Yang, Zikai Huang, Chenshu Xu, Shengfeng He

Research Collection School Of Computing and Information Systems

Long-term motion generation is a challenging task that requires producing coherent and realistic sequences over extended durations. Current methods primarily rely on framewise motion representations, which capture only static spatial details and overlook temporal dynamics. This approach leads to significant redundancy across the temporal dimension, complicating the generation of effective long-term motion. To overcome these limitations, we introduce the novel concept of Lagrangian Motion Fields, specifically designed for long-term motion generation. By treating each joint as a Lagrangian particle with uniform velocity over short intervals, our approach condenses motion representations into a series of "supermotions" (analogous to superpixels). This method …

Light Cone Cancellation For Variational Quantum Eigensolver In Solving Noisy Max-Cut, Xinwei Lee, Xinjian Yan, Ningyi Xie, Yoshiyuki Saito, Leo Kurosawa, Nobuyoshi Asai, Dongsheng Cai, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Variational Quantum Eigensolver (VQE) is a quantum-classical hybrid algorithm used to estimate the ground energy of a given Hamiltonian. It consists of a parameterized quantum circuit, which the parameters are optimized using a classical optimizer. With the increasing need in solving large-scale problems in real-world applications, solving those large problems with fewer qubits and fewer gates becomes essential, so that we reduce the simulation difficulty and mitigate the effect of noise in real quantum hardware. In this study, we applied the Light Cone Cancellation (LCC) method to reduce the number of qubits and gates required in a two-local ansatz. LCC …

Species-Dependent Gazing Behavior Of Emotional Facial Expressions In Dogs (Canis Familiaris) And Adult Humans (Homo Sapiens)., Heini Törnqvist, Gray S. Atherton, Liam Cross, Sanni Somppi, Jarkko Hautala, Miiamaaria V. Kujala

School of Psychology

Emotional expressions play an important part in social communication of dogs and humans, but comparative studies between dogs and humans are rare. In addition, little is known about how emotions are perceived across species and how attention is divided among different parts of faces. Here, we compared the gazing behavior of dogs and adult humans toward emotional dog and human facial expressions. Dogs mostly gazed at the eye and nose areas, whereas the humans’ focus also included the mouth area. The gazing behavior of both species was affected by the facial expressions and species presented, and they gazed at emotional …

“Language Learners As Ethnographers: A Case Study On A Pedagogical Approach To Developing Intercultural Communicative Competence”, Nihal El-Gameel

Theses and Dissertations

Despite the extensive theoretical models and frameworks for Intercultural Communicative Competence (ICC), pedagogical approaches to teaching culture remain underexplored. This study examined the effectiveness of integrating a pedagogical framework—the OSEE framework developed by Deardorff (2000)—within a language classroom context. Using a mixed-methods approach, data were collected through audio-recorded reflections, a questionnaire, an interview, and a final project video presentation in a single-case study design. Data analysis followed Miles and Huberman’s (2014) model of qualitative analysis, employing a funneling approach tailored to each research question: the first applied Chen and Starosta’s ICC model (1996;1999) the second used deductive thematic analysis to …

Assessing The Effectiveness Of A Habit Recording Tool To Improve Mental Health Of University (Auc) Students, Noran Nounou

Theses and Dissertations

Introduction: According to previous research, the mental health of university students has become an alarming public health concern worldwide. Most of the mental disorders begin among young adults, attributed to the transition to university and increased financial and societal pressure. Despite the important effect of daily habits on mental health, there still remain research gaps in Egypt in exploring their effect among university students and exploring the potential opportunities to support their well-being. Objectives: To assess depression rates among AUC students and to evaluate the effectiveness of a newly designed habit recording board, Make an Impact (MAI) to improve depression …

Legal Reform And Cultural Resistance: Examining The Role Of Law And Custom In Ending Fgm In Egypt, Souhaila Hafez Abo Seada

Theses and Dissertations

This thesis examines the persistent gap between legal reform and social practice in efforts to end Female Genital Mutilation (FGM) in Egypt. Although FGM has been criminalized since 2008, with stronger penalties introduced in 2016 and 2021, the practice continues, revealing the limits of law when it operates alongside powerful social, religious, familial, and medical norms. Using a qualitative case-based approach grounded in legal pluralism and Feminist Critical Discourse Analysis, the study draws on 11 semi-structured interviews with participants from civil society, religious institutions, the legal profession, the medical sector, and communities where FGM persists, alongside legislative, demographic, and documentary …