Digital Commons Network^™

Color Shift: A Graphic Design Process Book Exploring How Color And Motion Influence Emotional Perception And Brand Connection In Affordable Women's Fashion Jewelry, Elizabeth Voight

Theses

This study examines how manipulating color and motion within a single brand identity system influences consumer emotional response and brand consistency. Using a fictional modern jewelry brand, Quanta & Co., the research isolates color as the primary variable by applying nine distinct mid-range color palettes to identical layouts, logos, and structures across both print and digital touchpoints. These collateral assets include jewelry packaging, vehicle wraps, digital advertisements, and an animated logo. A quantitative survey was executed to capture real-time audience impressions regarding brand traits, perceived quality, and the overall alignment of each color variation with the brand's identity.

The findings …

Dataset To Analyzing Energy Use In 2 & 3d Imaging Systems And Workflows, Michael J. Bennett

Published Works

Analyzing Energy Use in 2D & 3D Imaging Systems and Workflows Dataset

CONTENTS: Z-WaveReportingProfiles; SessionInput; DroneFlights; SessionsComputed; Types; ByType; GrossSummaryUnweighted; WeightingSummary; Raw Sampling History Data

Assessing Natural Lighting In Historic School Buildings In Algeria: A Simulation-Based Design Perspective, Nesma Fercha, Akila Benbouaziz, Djamel Alkama

Iraqi Journal of Architecture and Planning

This study evaluates daylighting performance in a primary school classroom in Ain M'lila, Algeria, combining field measurements with advanced simulation. A representative classroom was modeled in DIVA-for-Rhino using accurate geometric, material, and climatic data. Illuminance measurements were taken on 28 March 2022 at 09:30, 11:30, and 14:30, and the results were compared with simulation results. The comparison showed good agreement, with minor discrepancies in shaded areas, confirming model reliability through mean squared error (MSE) and root mean squared error (RMSE) analyses. Five design scenarios were tested to enhance daylight performance by varying glazing type, louvre geometry, and surface reflectance. Spatial …

The Effect Of Morphological Transformations On The Emergence Of Complex Urban Systems: The Historical Karkh Urban Systems In Baghdad Is A Ase Study, Sara Abdul Aalie Rasheed, Wahda Shuker Al-Hinkawi

Iraqi Journal of Architecture and Planning

Cities emerge as multi-component urban systems that exhibit complexity and synergy and are shaped by morphological transformations in their structural composition. From here, the research idea was launched to demonstrate the role of morphological transformations in the emergence of urban systems with multiple characteristics and their integration to form the complex urban system. The research aims to demonstrate the impact of transformations on the emergence of the complex urban system, a fundamental characteristic of the city's growth and development, which comprises different urban structures that arise over time. The research adopted a qualitative descriptive-analytical approach and applied it to a …

Metaphysics Of Parallel Heritage In The Formulation Of The Contemporary Cityscape, Ban Mohammed Sultan, Abbas Ali Hamza Al Greiza

Iraqi Journal of Architecture and Planning

In the contemporary globalized world, the metaphysical texts of parallel heritage play a vital role in preserving the identity and privacy of cities with historical cores by conveying both the authenticity of the past and the spirit of the age in architectural production. The research problem addresses a cognitive deficiency in reading the metaphysics of parallel heritage within the urban landscape of Haifa Street, proposing it as a text that mediates between heritage and contemporaneity. The research hypothesizes that these metaphysical texts contain a creative core that functions as a future-oriented cognitive model. Using a descriptive–analytical approach, the study analyzes …

Spatial Integration, Human Density, And Land-Use Dynamics In Traditional Urban Areas: A Space Syntax Analysis Of Old Rusafa, Baghdad, Aya F. Alobaydi, Dhirgham Alobaydi, Sally F. Abdullah

Iraqi Journal of Architecture and Planning

Urban morphology is a key aspect in the development of socially sustainable environments, especially in traditional areas, whereby it is directly related to cultural identity. `Old Rusafa' is a traditional area where this investigation will be implemented. It addresses issues of population density and land-use transformation. The research aims to address a research gap by quantitatively evaluating the interrelationships among spatial configuration, human density, and land-use heterogeneity in heritage-based settings. The study is methodologically based on the application of Space Syntax (DepthmapX and QGIS) and statistical analysis using SPSS. Integrated values were calculated at the global (R = n) and …

Budget Fy 2026 - 2027, Swosu Administration

SWOSU Fiscal Year Budgets

No abstract provided.

Interpretable Machine Learning Of Plasma Proteomics Reveals Stage-Specific Signatures Across The Alzheimer's Disease Continuum, Hemshankar Laugi

2026 Spring Honors Capstones Projects

Alzheimer’s pathology begins years before clinical symptoms, starting early with amyloid-β accumulation, followed by tau deposition and neurodegeneration. Although existing tools, such as cerebrospinal fluid (CSF) screening and PET/MRI imaging, can accurately track disease progression, they are invasive, expensive, and not scalable for population-level screening. So, there is a growing interest in using blood-based plasma biomarkers as a scalable alternative. While recent studies demonstrate strong predictive performance with plasma biomarkers, most rely on a small set of canonical blood-based protein biomarkers such as amyloid-β, p-tau, and neurofilament light. These biomarkers primarily reflect downstream brain pathology and may fail to capture …

Understanding The Structural Drivers Of Useful Exergy Intensity, João Santos, Tiago Domingos, Tânia Sousa, Matthew Kuperus Heun, André Serrenho

University Faculty Publications and Creative Works

Energy-Economy Decomposition Analysis Across 112 Countries 1971-2020

When Neighborhoods Change, So Do Schools: Gentrification’S Influence On Public Education, Diego Ramirez

Theses and Dissertations from DePaul University

Neighborhood change is a common feature in urban life; however, gentrification is a distinct form of urban transformation characterized by rising property values, reinvestment, and shifts in neighborhood socioeconomic makeup. This literature review investigates the mechanisms through which gentrification reshapes public education and argues that gentrification has a direct impact on public schools, as these institutions reflect the socioeconomic communities around them. As neighborhoods gentrify and class demographics shift, education systems struggle to meet the demands of changing student populations, leading to unequal educational experiences. Specifically, this literature review demonstrates how gentrification reshapes public education through changes in school enrollment, …

Towards Understanding Users' Theory Of Recommender Systems, Mohammed Muheeb Faizan Ghori

Theses and Dissertations from DePaul University

Recommender systems have become deeply embedded in digital platforms such as streaming services, social media, and e-commerce applications, shaping how users discover information, consume content, and interact with online environments. Despite their widespread adoption, these systems are frequently perceived as opaque ‘black boxes’, leaving users uncertain about how recommendations are generated, why certain content is prioritized, and whether their interactions meaningfully influence recommendation outcomes. Existing research at the intersection of recommender systems and human–computer interaction has largely focused on improving transparency, explainability, and recommendation quality from a system-centered perspective. However, limited research has examined how users conceptualize recommender systems and …

Spikerff: Learning Forward With Layer-Local Plasticity And Semi-Hard Negatives, Karthik Tumkur Kumar

Theses

Effective contrastive learning relies on choosing useful, informative "hard" negative samples. Current hard negative sampling methods designed for traditional artificial neural networks (ANNs) are, in general, computationally costly and are ill-suited to account for the temporal structure relevant to neuromorphic data. To tackle these issues, in this work, we formulate a similarity-guided semi-hard negative sampling strategy for neuromorphic computing based on spiking neural networks (SNNs). We propose SpikeRFF (Spiking Recurrent Forward-Forward), a gradient-free and unsupervised recurrent spiking framework that combines layer-local Forward-Forward learning with semi-hard negative selection and temporally structured negative construction. Positive samples are encouraged to produce high goodness, …

Comparing Deposition-Dependent Variations In Tungsten Oxide Thin-Film Composition Using X-Ray Photoelectron Spectroscopy, Tevfik Ozkaynak

Theses

In this work, tungsten oxide thin films were fabricated using magnetron sputter deposition and electron beam evaporation under varying oxygen conditions to produce a range of stoichiometries, including substoichiometric compositions near WO₂.₇. The primary goal was to evaluate how reliably X-ray photoelectron spectroscopy (XPS) can quantify the stoichiometry of WOₓ thin films, determine how deposition conditions influence measured composition and oxidation states, and assess how argon ion sputtering, used for surface cleaning, alters tungsten oxidation states and affects XPS based stoichiometry. The films were analyzed using XPS under ultra-high vacuum conditions. Survey spectra were used to identify elemental composition, while …

What’S Kept, Caitlin Smith

Theses

This thesis examines the collective psychological aftermath of de-industrialization in a rust belt city, processed through perspectives of nostalgia and betrayal. By reframing childhood memories of instability and inherited narratives, a framework is established for investigating the modalities through which love and attachment may obscure entangled harm, and how grief operates across both collective and personal registers. Found objects are situated as sites of projection where memories are abstracted and reconstituted. The processes of decay and weathering serve as analogues for psychological trauma, reframing deterioration as an inevitable and generative condition. Natural elements act as metaphors for neutrality, challenging imposed …

Project Prioritization For Near-Optimal Functionality Risk Reduction In Bridge Networks, David Y. Yang, Anteneh Deriba

Civil and Environmental Engineering Faculty Publications and Presentations

Bridge retrofit prioritization is commonly guided by structural vulnerability, traffic conditions, or indirect consequences following a single bridge failure. However, these metrics often fail to identify retrofit projects that maximally reduce system-level functionality risk, because they do not account for the consequences of joint failures among multiple bridges. This presentation develops a mathematically rigorous, gradient-based approach to bridge retrofit prioritization for achieving a near-optimal reduction in functionality risk. This risk is formulated as the expected increase in total travel time given probabilistic bridge survival or failure under external stressors such as earthquakes. By reinterpreting risk as the evidence term in …

Interpretable Deep Reinforcement Learning For Element-Level Bridge Life-Cycle Optimization, David Y. Yang, Seyyed Amirhossein Moayyedi

Civil and Environmental Engineering Faculty Publications and Presentations

The new Specifications for the National Bridge Inventory (SNBI), in effect from 2022, emphasize the use of element-level condition states (CS) for risk-based bridge management. Instead of a general component rating, element-level condition data use an array of relative CS quantities (i.e., CS proportions) to represent the condition of a bridge. Although this greatly increases the granularity of bridge condition data, it introduces challenges to set up optimal life-cycle policies due to the expanded state space from one single categorical integer to four-dimensional probability arrays. This study proposes a new interpretable reinforcement learning (RL) approach to seek optimal life-cycle policies …

Large Language Model-Driven Agents In Virtual Reality For Inclusive Communication Training, Ziming Li

Theses

Vocational training programs aimed at improving the employability and autonomy of autistic individuals primarily focus on enhancing social communication skills. However, developing and implementing such training activities often demands significant time and effort from job coaches, who must adapt to various interview and workplace scenarios while customizing the training to meet the specific needs of autistic trainees. These challenges create barriers for job coaches to efficiently train autistic individuals and objectively evaluate their performance. To address these challenges, this dissertation explores the use of virtual reality (VR) and large language model (LLM)-driven agents to create customizable and interactive training platforms …

A Decade Of Change: Technology’S Impact On Negotiation Deepens In The Age Of Ai, Noam Ebner

Journal of Dispute Resolution

When people consider the notion of negotiation changing, they tend to look first toward that magnificent negotiation construct, “the table.” Here are some immediately apparent areas of table-novelty: • There is often a screen on our table, rather than another person sitting across from us. • The table we “go” to negotiate at is not in our office or that of our counterpart; rather, it is a communications system such as email or an online platform developed by a third-party provider. • The table, in its online-platform form, sometimes structures process and facilitates communication in ways that our trusty old …

Reports Of Legal Writing’S Death Are Greatly Exaggerated: Why Generative Ai Will Not Kill The Craft, Jayne T. Woods

Journal of Dispute Resolution

In preparing for this essay, I typed the phrase “legal writing is” into Google to see how common searches finished the thought. The only completed thought to appear was “legal writing is hard.” Amen. Legal writing is an amalgamation of logical reasoning, cognitive psychology, classical rhetoric, legal terminology, legal citation, and proper grammar and style, all of which must result in a product accessible to readers of all education levels. When generative AI arrived, producing cogent, plausible legal prose in seconds, it led many to believe that writing, generally, and legal writing, specifically, had reached the end of days.

Evaluation Of Laser Power, Heat Treatment, And Wall Configuration Of Ss316l And Er70s-6 Structures Fabricated By Wire Laser Metal Deposition, Ayman Abdelgwwad

Theses

Wire-Laser Metal Deposition (W-LMD) is a transformative direct energy deposition additive manufacturing technology that utilizes a laser heat source to melt metallic wire feedstock for the high-efficiency fabrication of large-scale, near-net-shape components. The technology is distinguished by its high material utilization efficiency and superior safety compared to metal powder-based systems. W-LMD systems are composed of a focused laser, a wire feeder mechanism, a multi-degree of freedom motion system, cooling system, and a shielding gas supply to prevent oxidation. Deviation in process parameters can lead to external defects such as stubbing (insufficient melting) and dripping (melting above the melt pool), as …

Decision Model For The Application Of Circular Economy In The End-Of-Life Management Of Power Transformers, Maha Mansour Nadhari

Theses

Power transformers are critical assets within utilities characterized by high capital and material intensity and long operational lifetimes. Traditionally, end-of-life management strategies for these transformers are very linear, limited to recovery or basic recycling and disposal. Although circular strategies can be integrated into the end-of-life management of these transformers, a key challenge to implementation is the absence of a structured, multi-criteria framework that can support decision-making in this context. This study addresses this gap by developing a decision model using a hybrid Multi Criteria Decision Analysis (MCDA) approach combining the Analytic Hierarchy Process (AHP) and the Technique for Order Preference …

Understanding The Lubrication Mechanisms Of Environmentally Compatible Protic Ionic Liquids, Davis Kipkania Kiboi

Theses

The development of environmentally sustainable lubricants is increasingly important as industries seek to reduce friction, wear, energy losses, and environmental impact. Choline amino acid protic ionic liquids (PILs) have emerged as promising candidates due to their bio-based constituents, tunable molecular structures, and favorable lubrication properties. However, the influence of amino acid structure on their lubrication mechanisms and tribological performance remains poorly understood. This dissertation investigates the physicochemical properties, tribological behavior, and tribofilm formation mechanisms of choline amino acid PILs to establish structure–property–performance relationships for sustainable lubricant design. Ten choline amino acid PILs containing glycine, alanine, lysine, leucine, isoleucine, aspartic acid, …

Exergy Analyses Of Potential Clean Hydrogen Technologies In The Uae, Gaurav Cjk Kewalramani

Theses

This thesis evaluates clean hydrogen production pathways suitable for the United Arab Emirates by  integrating nuclear, solar, and wind energy with proton exchange membrane electrolysis (PEM), anion  exchange membrane electrolysis with a liquid alkaline separator (AEM), and alkaline water electrolysis  (AWE). A literature review was first conducted to compare hydrogen production technologies based on  efficiency, cost, scalability, environmental performance, and compatibility with UAE energy resources.  Energy and exergy models were then developed for the APR1400 steam Rankine cycle, the Mohammed bin  Rashid Al Maktoum Solar Park, the Sir Bani Yas wind farm, and the three electrolysis technologies.  The APR1400 Rankine-cycle …

Resilience Modeling Method For Combat System-Of-Systems Based On Hypernetwork And Game Theory, Yuxian Duan, Hanqiang Deng, Jiarui Zhang, Jian Huang, Shijia Zhang

Journal of System Simulation

Abstract: In view of the difficulties in dynamic reconfiguration and resilience evaluation faced by modern combat system-of-systems in a highly adversarial environment, and the deficiencies of existing studies in depicting high-order interaction relationships and cluster evolution mechanisms, this paper proposed a resilience modeling method for combat system-of-systems integrating hypernetwork and game theory, aiming to analyze the resilience mechanism of the system-of-systems in all dimensions from micro, mesoscopic, to macro levels. At the micro level, a high-order motif structure was introduced to represent the complex interaction modes among combat units, which overcame the information loss of traditional binary relationships in depicting …

Simulation Study Of Elevator Group Control Scheduling Based On Real-Time Occupancy Perception, Yiyong Han, Shiyu Wang, Yang Ye, Zhen Zhang, Fengque Pei, Minghai Yuan

Journal of System Simulation

Abstract: To address the conflict between car space allocation and peak passenger flow response efficiency in elevator group control scheduling, a multi-objective scheduling method based on proximal policy optimization (PPO) with real-time occupancy perception was proposed. A simulation environment considering car capacity constraints was constructed, and a reward-penalty mechanism with average passenger waiting time, system energy consumption, and car congestion as optimization objectives was designed. Based on this, state and action spaces were defined to form a PPO-based scheduling framework; a simulation platform integrating traffic flow visualization, policy scheduling, and performance evaluation was developed. Simulation results show that this method …

Adaptive Spatiotemporal Graph Neural Network-Based Net Load Forecasting For Residential Areas, Yongqi Yang, Cong Wang, Hongli Zhang, Ping Ma, Yue Meng, Tianhao Zhou

Journal of System Simulation

Abstract: To address the issue that traditional residential overall power load forecasting methods fail to fully consider the differences in users' electricity consumption habits, making it difficult to improve prediction accuracy, a residential net load forecasting method combining representation learning clustering and an AGCN-Transformer was proposed. The representation learning method was utilized to fully extract the latent features of users' net load data, and users were divided into different groups based on the similarity of electricity consumption behaviors; the net load data of the same group were aggregated, and a graph structure suitable for this task was constructed by comprehensively …

Analysis Of Emerging Pfas Contaminants In Water: Review And Future Perspectives, Baljit Singh, Zina Fredj, Rangasamy Savitha, Abhijnan Bhat, Gayathree Thenuwara, Isha Dahiya, Suneha Goswami, Simrjit Singh, Xolile Fuku

Research Outputs: 2025-Present

Per- and polyfluoroalkyl substances (PFAS) are widely used in numerous industrial and consumer products. These compounds exhibit remarkable environmental persistence which allows them to accumulate in ecosystems and pose serious risks to water quality, the environment and human health, thereby underscoring the urgent need for effective monitoring and control. To mitigate the long-term impacts of PFAS contamination, robust and reliable advanced analytical methods and sensor technologies are essential. This review critically examines current analytical methods, including coupled chromatographic techniques, emerging sensor-based (optical and electrochemical sensors) methods and separation-based electrophoresis for PFAS detection. Recent progress in device miniaturisation coupled with integration …

Evolution And Prospects Of Polarization Image Simulation Technology, Gengpeng Li, Wei Cai, Zhiyong Yang, Zhili Zhang, Xiaowei Wang

Journal of System Simulation

Abstract: Polarization image simulation technology is a key means to break through the bottleneck of polarization data acquisition and promote the development of polarization vision. This study systematically reviewed three evolutionary paradigms of this technology: Physical mechanism simulation, based on the polarization bidirectional reflectance distribution function and polarization ray tracing, strictly solves polarization light transmission, which has high interpretability and credibility, but it is computationally complex and lacks visual realism. Data-driven simulation, using models like neural radiance fields to learn polarization appearance from data, has high generation efficiency and visual fidelity but weaker physical consistency and interpretability. Physics-data fusion simulation …

Mbse Design And Approach-Phase Operational Simulation Of Bdsbas Airborne Receiver, Ruihua Liu, Tongwei Wang, Zan Ma

Journal of System Simulation

Abstract: In view of the problem that traditional document-based design methods are difficult to effectively capture the dynamic characteristics and internal interactions in navigation accuracy and integrity assurance required by BeiDou satellite-based augmentation system (BDSBAS) airborne receivers during the approach phase, which easily leads to designs deviating from actual requirements and affects system performance, a model-based systems engineering(MBSE) method was introduced. A multi-dimensional system architecture model encompassing system requirement analysis, behavior description, structure design, and parameter constraints was established. Taking BDSBAS as the object, a co-simulation method of system modeling language and MATLAB for required navigation performance (RNP) was proposed, …

Simulation Study On The Vulnerability Of Belt And Road Composite Transportation Network Based On Cascading Failure, Mingjun Qian, Chao Yin, Zhiwen Huang, Quanneng Wang

Journal of System Simulation

Abstract: To address the issues of unclear cascading failure propagation mechanisms and difficult-to-quantify vulnerability evolution laws caused by the structural complexity and node heterogeneity of the "Belt and Road" multimodal transport network, a vulnerability assessment method for composite transportation networks integrating physical analogy and improved cascading failure model was proposed. Sub-networks were constructed based on main transportation modes of the Belt and Road, and nodes in the same city were coupled to build a composite transportation network model. An information entropy-Joule's law model was constructed to identify key nodes of the composite network and its subnetworks. A load-capacity cascading failure …