Digital Commons Network^™

Listening, Stepping, Screaming: Feminist Interpretations Of Yoko Ono’S Art, Cordelia Lavender Mcphie

AWE (A Woman’s Experience)

Long before she spent her time promoting peace through music and her infamous bed-in honeymoon, Yoko Ono was breaking traditional conventions of art by creating and performing her pieces of instruction: art that requires a participating audience in order for it to be made. At the beginning of the 1960s, early in Ono’s art career and before her association with the Beatles, she was participating in new kinds of conceptual and communal art processes within (and without) the Fluxus art movement.1 She is not a solo artist in the traditional sense, because her artwork is unable to be fully realized …

Climbing Mother By Brian Kershisnik: Representing Mothers As Sacred Spaces, Elijah Clark

AWE (A Woman’s Experience)

Brian Kershisnik’s collection The Difficult Part is a series of artworks that includes paintings from throughout the artist’s career. A repeated theme in this collection is motherhood. One particularly striking painting, Climbing Mother, is an oil on canvas piece painted in 2013 (wall text for Climbing Mother). Brian Kershisnik is a Latter-day Saint artist known for depicting mundane things as holy and for making holy things more approachable to modern audiences. For example, Kershisnik has many paintings of the Madonna and Christ child where they are shown as real people in everyday scenarios. The normalcy of his paintings …

A Self-Portrait: Staring The Male Gaze Right In The Eye, Brynne Petty

AWE (A Woman’s Experience)

The late nineteenth and early twentieth century was a time of constant change. Artists were constantly finding newer and more creative, often more bizarre, ways of expressing themselves through their art. Social norms were being broken down, with the subjects of many artworks becoming increasingly unconventional, bold, and, in many cases, provocative. Women swiftly became the subject of many paintings, often portrayed in the nude. Of course, a painting of a nude woman was not a new concept, but the way in which women were depicted was increasingly more sexual and erotic. Thus, the term male gaze—defined as “a …

Emergency Risk Dispatch For Integrated Electricity-Heat Systems Under Typhoon Disasters, Tongchui Liu, Lian Tan, Dongxuan Bao, Lanting Zeng, Pengfei Hou, Ronghua Ling

Journal of System Simulation

Abstract: The spatiotemporal randomness of typhoon movement paths leads to uncertain operational risks for integrated electricity-heat systems (IEHS), making it difficult to balance system risk controllability and dispatch economy. To tackle this problem, an emergency risk dispatch (ERD) method for IEHS under typhoon disasters is proposed. An ERD model for IEHS under typhoon disasters is established within the model predictive control framework. Based on the uncertainty of typhoon wind speed prediction, a moment-based ambiguity set for uncertain equipment component failures is constructed, and a distributionally robust chance-constrained ERD model is formulated. An approximation method based on worst-case conditional value-at-risk (WC-CVaR) …

Bi-Level Coordinated Scheduling And Optimization Of Power Systems Based On Stackelberg-Gmo, Yuanxing Zhang, Jianfeng Li, Taoyong Li, Linjuan Zhang, Jincheng Liu, Bin Li

Journal of System Simulation

Abstract: , To balance the interests of the power grid and the demand side, and achieve coordinated improvements in system economic efficiency, environmental friendliness, and renewable energy accommodation capacity, this paper proposes a bi-level coordinated scheduling model based on the Stackelberg game and the GMO. A leader-follower game model incorporating carbon emission constraints and multi-scenario stochastic constraints for photovoltaic generation is constructed, with the grid operator as the leader and EVs/V2G and energy storage as the followers, resolving the core contradiction between global optimization and individual rationality. The spatio-temporal stochastic characteristics of EV travel, the cycle life of energy storage …

Energy Management Method For Integrated Energy Driven By Users’ Social Attributes, Yankai Zhu, Yujing Huang, Qinghua Wang, Xiaoning Zhang, Fang Fang, Yuguang Niu

Journal of System Simulation

Abstract: To explore a new interaction mechanism between an energy service provider (ESP) and multiple users, this paper proposes a complex modeling and energy management method for integrated energy systems driven by users' social attributes. A multi-agent interaction framework comprising an ESP and user clusters is established. To maximize the ESP's operational benefit and minimize users' energy costs, a leader-follower game-based energy management model is established within a reinforcement learning framework, and a distributed collaborative solution algorithm combining Q-learning and quadratic programming is proposed. Simulation results show that, compared with the traditional integrated demand response method, consideration of users' social …

Missing-Data-Tolerant Diffusion-Based Wind Power Scenario Forecasting Method, Yingying Shi, Xiaochong Dong, Guobin Fu, Miaomiao Ma, Yanhe Li, Xuebin Wang

Journal of System Simulation

Abstract: To address the issue of error accumulation in traditional "imputation-then-forecasting" approaches, a missing data tolerant diffusion framework (MDTDF) is proposed. An XGBoost regression model is employed to map numerical weather prediction data into deterministic power forecasts. The encoder in the denoising network extracts temporal features, which are fused with the deterministic forecasts and fed into the decoder through a cross-attention mechanism to guide the denoising process. A historical constraint mechanism is introduced to directly utilize incomplete historical data and dynamically correct the denoising result at each step through sample gradient updates and noise injection guided by historical information. The …

Time-Step Relaxation Method For Simulation With Time-Sensitive Interactions, Zhaopeng Liu, Kaidi Jin, Xunyun Liu, Dongao Zhou, Xinhai Xu

Journal of System Simulation

Abstract: In time-driven military simulation, time-step setting is a key technology for balancing operational efficiency and simulation accuracy. Based on the current research on time-step setting in military simulation, a trajectory spatiotemporal intersection calculation model is designed to address the performance bottleneck caused by the minimum time step, thus removing the constraints imposed on the minimum time step by interactions such as high-speed target detection and jamming. Experiments involving detection interaction scenarios are designed to verify the effectiveness of the model in preventing missed interactions and improving simulation efficiency.

A Review Of Spatial Indexing Technologies For Large-Scale Combat Simulation, Kaidi Jin, Xunyun Liu, Dongao Zhou, Yang Wang, Zhaopeng Liu

Journal of System Simulation

Abstract: The real-time performance and scalability of large-scale combat simulations are constrained by performance bottlenecks in spatial queries caused by massive numbers of dynamic entities. Spatial indexing technology becomes the key to solving this problem by establishing an efficient mapping between locations and entities. This paper reviews spatial indexing technologies in large-scale combat simulations. Based on an analysis of the core requirements for index structures in combat simulations, various indexing technologies along three main lines are examined: static indexing, dynamic optimization, and distributed parallelism. The principles, evolution, and applicability boundaries of these technologies are also examined, and their query and …

Learning Evolution Modeling Of Multi-Cycle Nested Cloud Manufacturing Service Ecosystem, Fang Li, Deyu Zhou, Gang Wang, Guangjun Liu, Qi Hu

Journal of System Simulation

Abstract: In view of the lack of comprehensive consideration of the individual adaptability changes of enterprises caused by the collaborative governance mechanism among multiple manufacturing units and the overall evolution trend of the system in existing learning evolution models, this proposed a learning evolution model of multi-cycle nested cloud manufacturing service ecosystem. At the micro level, the adaptive linkage decision-making among multiple manufacturing units within the enterprise was achieved in the individual layer through the nesting of planning-readiness-execution-assessment (PREA) loops and OODA loops; at the macro level, the closed-loop simulation of the individual layer, organizational layer, and social layer was …

Study On Transient Electric Field Of Insulated Rail Joints In High-Speed Railway Stations Based On Dissado-Hill Model, Junli Li, Youpeng Zhang

Journal of System Simulation

Abstract: The transient electric field distribution of insulated rail joints in high-speed railway stations under lightning impulse voltages is critical to their normal operation. Under lightning impulse voltages, considering the relaxation polarization of the insulated rail joint material, a frequency-domain mathematical model of its transient electric field was established. Based on Dissado-Hill model, the measured frequency-domain dielectric spectra were fitted and analyzed to reveal the microstructural characteristics of insulated rail joints and the interaction characteristics between microscopic particles during the polarization process. The results indicate that the relative permittivity of insulated rail joints decreases with the increasing harmonic frequency of …

Intelligent Evaluation Method For Regional Air Superiority Based On Graph Convolutional Neural Network, Peng He, Yubo Tang, Jingde Liu, Yujia Tian

Journal of System Simulation

Abstract: To address the dual challenges of the lack of quantification standards and sparse air combat samples in the superiority evaluation of modern air combat, an intelligent evaluation method for regional air superiority based on a graph convolutional neural network was proposed. The spatial grid method was employed to encode the air situation of the entire battlefield airspace into a new data representation, namely the air superiority matrix. A novel air superiority quantification model was applied to quantify the air superiority label values of spatial grids, and four key operational capabilities closely related to air superiority contention were selected as …

Sensorless Control Of Pmsm Based On An Improved Super-Twisting Sliding-Mode Observer, Shiyu Chen, Xinmin Chen, Xionglong Hu, Heng Wang, Yepeng Han, Jiajie Chen

Journal of System Simulation

Abstract: To address the chattering in back electromotive force estimation and the gain mismatch across a wide speed range when using a conventional super-twisting sliding-mode observer in the sensorless control system of a permanent-magnet synchronous motor, this paper proposed an improved adaptive-gain super-twisting sliding-mode observer. A linear correction term was introduced into the super-twisting algorithm and integrated with a gain adaptation law based on speed feedback, enabling the system to achieve finite-time convergence and high-precision back electromotive force estimation over a wide speed range. A variable-gain adaptive complex-coefficient filter was constructed to effectively suppress the harmonic components in the observed …

Line Spectrum Enhancement Technology Based On Second-Order Vector Hydrophone, Zhengkai Wang, Yirong Yu, Qing Hu

Journal of System Simulation

Abstract: In view of the problem of limited detection of line spectrum signals in low signal-to-noise ratio underwater environments, a spatial-temporal cooperative line spectrum enhancement technology based on a two-dimensional second-order vector hydrophone was proposed. A receiving signal model of the two-dimensional second-order vector hydrophone was established to clarify the spatial characteristics of its output signals. For spatial signal processing, the signals from each channel of the vector hydrophone were fused to suppress noise, and a channel combination method with high spatial directivity gain was proposed to achieve spatial processing gain. For temporal signal processing, an adaptive line spectrum enhancer …

Dodaf-Opm-Sd Cross-Layer Automated Mapping Method Based On A Unified Semantic Bridge, Lei Cheng, Gang Xiao, Binbin Wang, Siming Peng, Haozhe Liang, Xiangwu Gong

Journal of System Simulation

Abstract: To address the problems of the inability of DoDAF views to directly drive simulations and the insufficient cross-layer semantic alignment and consistency verification, a DoDAF-OPM-SD cross-layer semantic automated/semi-automated mapping and verification method was proposed in this paper. Targeting tactical/operational-level problems dominated by "conservation+feedback+time delay", the proposed method reduced manual mapping under expert adjudication based on a "minimal executable view set". The object-process methodology served as a semantic bridge to map architectural elements into the stock-flow-feedback structures of system dynamics; semantic embedding disambiguation, integer programming harmonization, and K-nearest neighbor parameter completion were integrated; end-to-end traceability was connected through traceability identifiers, …

Design And Implementation Of Hdrt Real-Time Simulation System, Huiji Zheng, Guangsen Wang, Qing Liu, Kang Wang, Zhiwei Wang, Zhenyu Zhang, Shuo Wang, Zhu Liu

Journal of System Simulation

Abstract: In view of the real-time simulation requirements of large-scale complex systems such as power electronics, a hidden dragon real-time(HDRT) simulation system was developed. The strict time constraints of simulation tasks were guaranteed based on a resource-dedicated real-time scheme, supporting fixed-step and multi-rate simulations from the second level to the hundred-nanosecond level. A hybrid CPU-field programmable gate array(FPGA) architecture was adopted to accelerate computation. The system could utilize multiple simulators for parallel simulation and realized microsecond-level real-time data interaction between simulators through a dedicated PCIe switch. A single simulator could be expanded through I/O interface equipment, supporting a maximum input …

Numerical Simulation Of Water Tank Solidification In A Firefighting Aircraft Under High-Altitude Cold-Soak Conditions, Guanmian Liu, Zhihang Cheng, Hejun Qin, Kangzhi Yang, Qing Wen, Kun Gao

Journal of System Simulation

Abstract: A systematic numerical simulation study was conducted to address the issue of internal water tank solidification in firefighting aircraft under high-altitude low-temperature conditions. Based on computational fluid dynamics methods, a solidification-melting model considering fluid-structure interaction heat transfer and phase change processes was adopted. Through reasonable simplification of the complex geometric model, a quasi-three-dimensional computational model suitable for engineering analysis was developed. The influence laws of key parameters, including high-altitude cold-soak temperature, ground initial water temperature, and cold-soak time, on the freezing characteristics of the water tank were investigated. Combining with the parameter influence laws, a safety criterion using the …

Combat Effectiveness Evaluation Of Anti-Ship Missiles For Intelligent Autonomous Recognition, Long Zhang, Xuanming Feng, Zhen Lei, Bo Yang, Ying Wang

Journal of System Simulation

Abstract: To address the core issues of poor adaptability of static fusion strategies in existing recognition models, as well as the simplistic evaluation system and its disconnection from dynamic confrontation requirements, a practical four-dimensional evaluation system encompassing "recognition accuracy, antijamming stability, decision timeliness, and modal complementarity" was constructed, and an operational effectiveness composite index (OECI) capable of dynamically adapting to tactical scenarios was proposed. A multimodal dynamic attention fusion network (MDA-Net) for anti-ship missiles in complex confrontation environments was designed. Through heterogeneous feature decoupling, dynamic weighting of cross-modal attention, and a hierarchical gating decision mechanism, the autonomous evaluation and adaptive …

Infrared Image Generation Method Based On Improved Cyclegan, Qiqi Jin, Xiang Zhang, Li Gao, Lin Zhang, Junliang Yan, Peiyao Li

Journal of System Simulation

Abstract: To address the problems in current infrared image generation such as insufficient contrast between target and scene, excessively large discrepancies from real scenes, indistinct thermal source features, and great difficulty in constructing measured infrared image datasets, an improved CycleGAN-based infrared image generation method was proposed. By optimizing the network structure of the generator and adding a non-local module and a CBAM convolutional attention mechanism into the generator, the extraction capability of CycleGAN for infrared features was enhanced, enabling the network to capture the subtle features of targets more accurately; a perceptual loss function was introduced to improve the detail …

Uab Libraries News, 08/09 2026, Uab Libraries

UAB Libraries News

No abstract provided.

The Effect Of Sustainable 3d Store Design On Consumer Online Shopping Behavior, Sophie G. Roussel

Apparel Merchandising and Product Development Undergraduate Honors Theses

Sustainability has become a significant factor in shaping consumer shopping habits. Companies are implementing 3D store designs to provide a more immersive and interactive experience. Further study is needed to investigate whether a sustainable, green-focused 3D storefront shifts consumers’ satisfaction with online shopping and their intention to buy products from a sustainable store. This study seeks to fill the research gap by examining how sustainable 3D store design influences consumer shopping behavior. Specifically, three distinct 3D store mockups were developed using Visual Retailing (VR) technology. The same number of visually appealing features, products, and store layouts was used to make …

Counterfactual Explanations For Time Series Classification: From Localized Perturbations To Realistic Generation, Peiyu Li

All Graduate Theses and Dissertations, Fall 2023 to Present

Machine learning models are often used to classify signals collected over time, such as heart rhythms, movement recordings, industrial sensor measurements, and scientific observations. These models can be accurate, but they are often difficult to understand. Users may need to know not only what a model predicted, but also what would have needed to change for the model to reach a different decision.

This dissertation studies counterfactual explanations for time series data. A counterfactual explanation answers a “what-if” question. For example, if a model classifies a signal as one activity instead of another, the explanation shows how the signal would …

A Brand With A Brand: Constructing Lived-In Identity In Kylie Cosmetics And Khy, Nicole Obiukwu

Communications and Digital Media Theses

Celebrity-owned brands benefit from the visibility and recognition of their founders, but celebrity ownership alone does not necessarily establish authenticity. This study examines how celebrity-owned brands communicate authenticity through a comparative case study of Kylie Jenner’s Kylie Cosmetics and KHY. Using directed content analysis, 75 Instagram posts from Kylie Cosmetics, KHY, and Jenner’s personal account were analyzed alongside relevant contextual materials. The analysis focused on four dimensions identified through existing literature: Consistency of Self, Evidence of Use, Environmental Alignment, and Evolution Over Time. Findings showed that Kylie Cosmetics demonstrated greater accumulated continuity with Jenner’s established public identity, drawing on shared …

Deferred Understandings: A Critical Content Analysis Of Representations Of War In Picturebooks, Heeyoung Kim, Jongsun Wee

Reading Horizons: A Journal of Literacy and Language Arts

This article reports on a study that examined eight picturebooks published since 2021 that portray contemporary wars, exploring picturebooks’ potential role in shaping children’s understandings of armed conflict. It investigated how these texts present historical context and construct representations of war. The authors’ analysis focuses on three key elements: the causes of war, depictions of wartime scenes, and the resolutions of war. The findings indicate that the picturebooks portray war realistically through textual and visual narratives, illustrating how war disrupts the child protagonist’s everyday life. However, the books rarely address the underlying causes of war. This study suggests that teachers …

Effective Traffic Routing Under Disastrous Events Through Machine Learning, Eric Itemuagbor

All Theses

Disastrous events such as hurricanes, wildfires, and floods routinely disrupt transportation networks, preventing emergency response, evacuation, and the delivery of critical supplies. Conventional optimization-based routing methods offer strong theoretical guarantees but cannot scale and are often too slow to support time-sensitive decision-making during a disaster, while prior machine learning approaches to disaster routing have largely prioritized prediction accuracy over inference speed and data efficiency. This thesis investigated whether lightweight machine learning models can deliver both competitive routing accuracy and superior inference speed when trained on limited data, addressing a practical gap between existing research and real-world deployment needs.

The road …

Land And Language At St. Joseph’S Indian Industrial School And Beyond, Ciera R. Tucker

All NMU Master's Theses

This thesis analyzes the impacts of the Indian boarding school era on Menominee people through using St. Joseph’s Indian Industrial School in Keshena, Wisconsin, as a focal point of study. Through analyzing the social and political contexts of the school, oral texts from St. Joseph’s survivors, and contemporary popular culture texts, this thesis examines the intergenerational impacts of the boarding school era on Menominee people and Indigenous people in general. I employ Indigenous methodologies from Leanne Betasamosake Simpson (Anishinaabe), Kathleen Absolon (Anishinaabe), and Shawn Wilson (Cree) to ground my approach to research and engagement with survivor testimonies. Further, I draw …

Investigation Of A Novel Behavioral Assessment Of Challenging Behavior In The Context Of Medical Necessity And Disability Theory, Madison S. Walker

All NMU Master's Theses

Individuals with neurodevelopmental disabilities often engage in challenging behaviors that interfere with daily functioning and community participation. Many standardized assessments focus on indirect, descriptive measurements that emphasize frequency, while providing limited information about medical severity, ongoing management strategies, and functional outcomes. This misalignment may limit the clinical utility of assessments, as scores may not consistently align with medical necessity criteria or arguments supporting the maintenance of current treatments. The first study extends on Reyes-Martín et al. (2022), which reviewed 24 assessments of challenging behaviors, by further evaluating assessment characteristics relevant to clinical decision-making and treatment justification. Findings highlight variability across …

Cost-Effectiveness Evaluation Of Artificial Intelligence-Assisted Chest Radiograph Interpretation For Tuberculosis Screening In Rural Health Units In The Philippines, Harold Henrison C. Chiu, Bryan Christopher C. Lao, Gloanne C. Adolor

Graduate School of Business Publications

Background: Tuberculosis remains a major public health burden in the Philippines, where diagnostic delays are amplified by limited radiology capacity in rural health units (RHUs) and geographically isolated and disadvantaged areas (GIDAs). Computer-aided diagnosis (CAD) using artificial intelligence (AI)-assisted chest radiograph interpretation may shorten the screening pathway and reduce reliance on scarce specialist readers. However, its economic value for RHUbased tuberculosis screening has not been fully evaluated.
Methods: We developed a decision-tree cost-effectiveness model in Microsoft Excel 365 to compare AI-assisted chest radiograph interpretation with conventional manual radiologist or teleradiology interpretation among a theoretical annual cohort of 1,000 presumptive tuberculosis …

Developing A Resilient Park For Palisade State Park: A Model For Intermountain West State Parks, Hirone T. Warner

All Graduate Reports and Creative Projects, Fall 2023 to Present

Palisade State Park in central Utah is a cherished natural resource, offering diverse recreational opportunities and serving as an important ecological habitat. However, the park faces increasing challenges due to increasing visitation and the impacts of climate change. This thesis presents a strategic master plan for Palisade State Park, designed to guide its development over the next 20 years.

Recognizing the need for a sustainable approach, this project adopts a participatory method, involving park users, residents, and environmental experts in the planning process. The goal is to create a master plan that not only addresses the park’s immediate needs but …

The Long Arc Of Global Citizenship: Historical Foundations, Modern Challenges, And Institutional Innovation At Rollins College, Wenxian Zhang

Faculty Publications

The concept of global citizenship can be traced back to the Greek and Roman periods in Western civilization, as well as to ancient Eastern philosophies. Representing both a prescriptive ideal and an aspirational faith in humanity, the notion is closely linked to the historical development of cosmopolitanism, transnationalism, and transnationality. This study first reviews the rich historical roots and core values of global citizenship, along with the growing need for global citizenship education in the modern era. It then highlights several influential individuals who strongly championed its principles, including theoretical physicist and Nobel Prize winner Albert Einstein and internationalist and …