Digital Commons Network^™

Computational Fact-Checking With Limited Resources, Fengzhu Zeng

Dissertations and Theses Collection (Open Access)

The rapid dissemination of information through online platforms has sparked widespread concern about the propagation of misinformation. Manual fact-checking by pro- fessional fact-checkers is time-consuming and lacks scalability to address the vast volume of daily information. Consequently, computational fact-checking, driven by automated techniques in natural language processing (NLP), has garnered interest as
a potential solution. However, computational fact-checking faces critical challenges limited resources, particularly due to the issues of data scarcity and computing resource constraints. One key challenge is data scarcity, which arises from the constant generation of new information and emerging events on social media. This scarcity manifests in …

Producing A Map Of Political Advocacy – Locational Difference And Interconnectedness In West Michigan Lgbt Advocacy, Samuel J. Darnell

Masters Theses

This study examines, through a qualitative lens, the influence of a local environment upon the operations, messaging, and perspectives of individuals within LGBT advocacy organizations and broader LGBT advocacy efforts. This was achieved via analysis of in-person and verbal interviews with individuals involved in the operation of these advocacy organizations. Interviews were analyzed with a focus on political perception, organization structure and history, funding sources, and challenges faced in operation such as political conflicts or harassment. Initially focusing on a comparison of the advocacy environment of Kalamazoo and Grand Rapids, the study expanded to several neighboring towns that hosted advocacy …

Ev Charging Management In A Real-Time Optimization Framework Considering Operational Constraints, Hilmi Cihan Güldorum, Ayşe Kübra Erenoğlu, İbrahim Şengör, Barry P. Hayes, Ozan Erdinç

Department of Computer Science Publications

The electrification of transportation plays a central role in the decarbonization of energy systems. Although electric vehicles (EVs) are expected to reduce energy related emissions, the increasing demand imposed by large scale EV adoption presents serious challenges for distribution systems (DSs), which were not originally designed to accommodate such loads. This study proposes a mixed integer quadratically constrained programming (MIQCP) framework to optimize the operation of an EV parking lot (EVPL) under DS constraints. The model compares three widely adopted objective functions: minimization of active power loss, charging cost, and uncontrolled charging impact, which is represented by minimizing the total …

The Role Of Androgen Receptor And B2/Alu Sine Rna Interaction In Hippocampal Dendritic Development, Troy A. Richter

Graduate Doctoral Dissertations

Once dismissed as “junk”, transposable elements have recently gained recognition for their regulatory roles, especially in the brain. During development, circulating androgens promote proper morphological development of hippocampal neurons. We and others have shown that murine B2 SINE RNA is a regulator in the rodent hippocampus. It is unknown, however, if B2 is necessary for the proper development of hippocampal neurons. This dissertation investigates the role of murine B2 in the development of primary hippocampal neurons in combination with androgen treatment. We first examined the role of ALU SINE and androgen receptor in a prostate cancer cell model and found …

Tradeoffs Between Elemental Homeostasis And Growth Govern Freshwater Phytoplankton Responses To Salinization, Samuel A.T. Dias, Clay Prater, Adriana Diaz-Delgado, Natalie A. Clay, Sally A. Entrekin, Michelle A. Evans-White

Entomology and Plant Pathology Faculty Publications and Presentations

Anthropogenic salinization resulting from road salt application can degrade aquatic environments by altering the structure and function of phytoplankton communities, ultimately reducing flows of resources through aquatic food webs. However, physiological mechanisms underlying taxon-specific responses to salinization are often poorly linked to higher-order ecosystem dynamics, limiting our ability to predict community responses to salinization. To this end, we tested hypotheses derived from Subsidy-Stress and Ecological Stoichiometry theory by growing two cosmopolitan genera, Dolichospermum (prokaryotic, cyanobacteria) and Scenedesmus (eukaryotic, green algae), across NaCl gradients and contrasting differences in their growth rates, degree of Na homeostasis, and cellular C : N : …

Child Abuse In Colonial America, Brian Allen

Graduate Masters Theses

Child Abuse in Colonial America is an investigation of the extent to which colonial societies were aware of child abuse and how they responded. Historians often assert that awareness of the problem did not exist in America until the mid-nineteenth century; however, the evidence uncovered suggests that cases of child abuse were recognized during the colonial period and that the societal responses differed widely. Historians of childhood document myriad social, economic, political, religious, and other cultural influences that dictate how children were treated at different times and locations, and this framework is used to interpret why the responses to child …

Organizational Health Literacy In Pediatric Cardiovascular Programs, Eva Gomez

Graduate Doctoral Dissertations

Health literacy refers to a person’s ability to access, understand and use health-related information in order to effectively manage one's health and navigate healthcare experiences. This responsibility does not rest solely upon the individual; healthcare organizations also have a vital role in assisting individuals in accessing, understanding and using health information through their interactions with the healthcare system. Organizational health literacy (OHL) can serve as a strategy to ensure that all individuals have equitable access to health information and services. The Ten Attributes of a Health Literate Healthcare Organization established the foundational principles of organizational health literacy. The present study …

Quantum Dot Light Emitting Diodes As A Light Source For Photodynamic Therapy, Hamid El Hamidi

Graduate Doctoral Dissertations

ABSTRACT:

QUANTUM DOT LIGHT EMITTING DIODES AS A LIGHT SOURCE FOR PHOTODYNAMIC THERAPY

Photodynamic therapy is a cancer treatment modality that involves the accumulation of a photosensitizer, exposure to visible light, and the presence of oxygen, resulting in the formation of highly reactive and cytotoxic singlet oxygen. PDT has been shown to be more effective as the fluence rate decreases due to oxygen availability and the absence of photobleaching. On the other hand, Quantum Dot Light Emitting Diodes QLEDs- a new form of light source based on nanoparticles (quantum dots)- emerge as a potentially advantageous light source for certain types …

Assessment Of A Muscadine Grape (Vitis Rotundifolia) Mapping Population For Tolerance To Pierce’S Disease Pathogen Xylella Fastidiosa And Resistance To Black Rot Disease Pathogen Guignardia Bidwellii, Anushka Tennakoon

Master's Theses

Pierce’s disease (PD) and black rot disease cause severe economic losses for grape production under humid and warm conditions. Identifying resistance genes is crucial for controlling these disease by developing resistant cultivars. Muscadine grape (Vitis rotundifolia) cultivar ‘Pam’ has been identified to possess a high level of resistance to diseases. To elucidate the genetic basis of the resistance to the causal pathogens Xylella fastidiosa and Guignardia bidwellii in this cultivar, parents and 141 F1 individuals developed from open pollinated ‘Pam’ were evaluated for two seasons under natural disease pressure. The mapping population was genotyped using genotyping-by-sequencing (GBS) and …

Impact Of S-Phase Kinase Protien 2 Blockades On Hematopoetic Stem Cell Metabolism, Nicole Elmaraghy

Electronic Theses, Projects, and Dissertations

Hematopoietic stem and progenitor cells (HSPCs) quiescence is vital for the success of bone marrow transplantation, as it preserves long term self- renewal and prevents premature exhaustion (Takubo et al., 2013; Wilson et al., 2008). However, bone marrow transplant (BMT) failure remains a clinical challenge, often due to lack of long-term engraftment and insufficient stress reliance. Both of these characteristics are tightly linked to disrupted stem cell quiescence and metabolic imbalance (Anso et al., 2017; Vannini et al., 2016). One key player is S-phase kinase protein (SKP2), an E3 ubiquitin ligase that targets cell cycle inhibitors, like p27, for proteosome …

2025-2026 Lindenwood University Graduate Course Catalog, Lindenwood University

Course Catalogs

Lindenwood University Graduate Course Catalog

2025-2026 Lindenwood University Undergraduate Course Catalog, Lindenwood University

Course Catalogs

Lindenwood University Undergraduate Course Catalog

Reconsidering “Luxury” Bones: Comprehending The Capacity For Care Coordination In Maine’S Oral Health Policy Environment, Molly S. Williams

All Student Scholarship

Case management takes a comprehensive and coordinated approach to providing healthcare for patients who often have complex or chronic needs. It began as a practice in medical care in the early 1900s, and it has roots in both social welfare and public health. The evolution and formalization in the U.S. medical care system can be traced over time: the earliest practitioners were nurses and social workers engaging with charitable organizations; expansion of some services followed the introduction of general welfare benefits in the Social Security Act and workers’ compensation insurance (1930s); insurance companies began covering services to assist World War …

Promoting Understanding Of Soft Power Theory : A Case Study Of Confucius Institutes Along The Belt And Road, Dan Yang

Lingnan Theses (Doctoral degree)

This dissertation explores the function of Confucius Institutes (CI) as key tools within China’s soft power approach, particularly in the framework of the Belt and Road Initiative (BRI). It provides a detailed and empirically based analysis of how these institutes operate within various national contexts. Drawing upon Joseph Nye’s soft power theory and supported by literature on public diplomacy, this study assesses the ways in which CIs translate cultural, linguistic, and educational assets into international influence. Despite the rapid expansion of CIs globally, their actual effectiveness in achieving cultural diplomacy and tangible soft power outcomes remains uncertain. Advocates emphasize the …

Differential Quadri-Partitioned Neutrosophic Interval-Valued Polynomial Attention-Based Deep Cnn For Brain Tumor Detection, Panimalar A, Aarthi D, Santhosh Kumar S, Sanjayprabu S

Neutrosophic Sets and Systems

No abstract provided.

A Hyperdimensional Adaptive Plithogenic-Neutrosophic Forestsoft Superhypersoft Set Model For Innovation Evaluation In Virtual Reality-Based Digital Media Art Design, Mei Hong, Shengyan Xue, Xiaoli Zhou

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Type-Iii Sets For Multi-Layered Uncertainty Modeling In Quality Evaluation Of University Ideological And Political Education, Hui Liu

Neutrosophic Sets and Systems

No abstract provided.

A Multialist Framework For Learning Quality Assessment In The Digital Media Technology Major Under The Big Data Paradigm, Liping Miao

Neutrosophic Sets and Systems

No abstract provided.

A New Hybrid Deep Learning Method With Neutrosophic Sets For Social Media Sentiment Analysis Of The Covid-19 Vaccine,, Tasneem Abdelrahman, Mohamed El-Rashidy, Mohamed Marie

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Offset Logic And Statistical Framework For Analyzing International Chinese Communication In Integrated Media Environments, Bing Li

Neutrosophic Sets and Systems

No abstract provided.

A Superhyperneutrosophic Statistical Model For Interaction Design In Virtual Reality Art, Xiaobin Guo

Neutrosophic Sets and Systems

No abstract provided.

Serum Syndecan-1 Is Associated With Kidney And Cardiovascular Outcomes In Idiopathic Nephrotic Syndrome., Colin Bauer, Arshia Anand, Christine Sethna, Jonathan Troost, Tarak Srivastava, Imtiazul Islam, Audrey Fetsko, Julie A. Dougherty, William E. Smoyer, Richard J. Johnson, Gabriel Cara-Fuentes

Manuscripts, Articles, Book Chapters and Other Papers

INTRODUCTION: Idiopathic nephrotic syndrome (INS) is associated with important kidney and cardiovascular morbidities. We tested the hypothesis that serum syndecan-1, a marker of endothelial glycocalyx injury, can help identify patients at risk for unfavorable kidney and cardiovascular outcomes.

METHODS: We included 348 children and adults with INS (n = 35 unbiopsied, n = 141 minimal change disease [MCD] and n = 172 focal segmental glomerulosclerosis [FSGS]) from the Nephrotic Syndrome Study Network (NEPTUNE) cohort and 34 healthy participants (n = 22 adults, n = 12 children). We measured baseline serum syndecan-1 levels using an enzyme-linked immunosorbent assay and …

The Abduction Of Juan Manuel Fangio And Its Impact On The Cuban Revolution, Shalom Nissi Ramirez

Theses and Dissertations

On February 23, 1958, Juan Manuel Fangio, the five-time Formula One Champion, was kidnapped by the 26th of July Movement (M-26) in Havana, Cuba, during the Cuban Revolution. The kidnapping took place on the eve of the Havana Grand Prix as an act of sabotage against Fulgencio Batista's government. Fangio's abduction became a symbol of political resistance, challenging Batista's authority and raising the profile of M-26 as a revolutionary group. This thesis examines how the incident, amplified by worldwide media coverage, influenced international perceptions of the Cuban Revolution. It argues that using Fangio’s fame strategically helped accelerate awareness of the …

Socioeconomic Status Shapes Dyadic Interactions: Examining Behavioral And Physiologic Responses, Jacinth J. X. Tan, Tessa V. West, Wendy B. Mendes

Research Collection School of Social Sciences

With more opportunities for diverse interactions, little is known about how social interactions involving people of different socioeconomic status (SES) may unfold. We investigated social attunement patterns in dyadic interactions involving SES. Unacquainted individuals recruited from the community interacted with similar-or-different-SES partners in the lab (Ndyads = 130). Attunement was assessed throughout the interaction by examining physiological linkage—how much a person’s physiological change is predicted by another’s physiological change, over time. Overall, low-SES participants showed stronger physiological linkage—indicating greater attunement—to partners across SES. Participants also appeared more comfortable when interacting with low-SES partners. There were no SES differences in dominance …

Fact-Audit: An Adaptive Multi-Agent Framework For Dynamic Fact-Checking Evaluation Of Large Language Models, Hongzhan Lin, Yang Deng, Yuxuan Gu, Wenxuan Zhang, Jing Ma, See-Kiong Ng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have significantly advanced the fact-checking studies. However, existing automated fact-checking evaluation methods rely on static datasets and classification metrics, which fail to automatically evaluate the justification production and uncover the nuanced limitations of LLMs in fact-checking. In this work, we introduce FACT-AUDIT, an agent-driven framework that adaptively and dynamically assesses LLMs’ fact-checking capabilities. Leveraging importance sampling principles and multi-agent collaboration, FACT-AUDIT generates adaptive and scalable datasets, performs iterative model-centric evaluations, and updates assessments based on model-specific responses. By incorporating justification production alongside verdict prediction, this framework provides a comprehensive and evolving audit of LLMs’ factual reasoning …

A Comprehensive Analysis Of Evolving Permission Usage In Android Apps: Trends, Threats, And Ecosystem Insights, Ali Alkinoon, Trung Cuong Dang, Ahod Alghuried, Abdulaziz Alghamdi, Soohyeon Choi, Manar Mohaisen, An Wang, Saeed Salem, David Mohaisen

Research Collection School Of Computing and Information Systems

The proper use of Android app permissions is crucial to the success and security of these apps. Users must agree to permission requests when installing or running their apps. Despite official Android platform documentation on proper permission usage, there are still many cases of permission abuse. This study provides a comprehensive analysis of the Android permission landscape, highlighting trends and patterns in permission requests across various applications from the Google Play Store. By distinguishing between benign and malicious applications, we uncover developers’ evolving strategies, with malicious apps increasingly requesting fewer permissions to evade detection, while benign apps request more to …

Explainable Multimodal Sentiment Analysis Of Social Media Visual Content For Child Safety, Yee Sen Tan, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Ensuring the safety and well-being of children is increasingly important, especially in a world where visual content is pervasive. This paper proposes a novel multimodal, multilingual, and multiclass sentiment analysis method for social media content, aimed at improving content moderation for child safety. Our approach integrates textual, visual, and audio data from videos, categorizing sentiment into four levels: positive, slightly negative, negative, and strongly negative, enabling granular detection of harmful content. To enhance explainability and trust, we also leverage interpretable mechanisms to analyze the contributions of each modality. Evaluation of our method demonstrates strong generalization across diverse video types, and …

Eformer: An Effective Edge-Based Transformer For Vehicle Routing Problems, Dian Meng, Zhiguang Cao, Yaoxin Wu, Yaqing Hou, Hongwei Ge, Qiang Zhang

Research Collection School Of Computing and Information Systems

Recent neural heuristics for the Vehicle Routing Problem (VRP) primarily rely on node coordinates as input, which may be less effective in practical scenarios where real cost metrics--such as edge-based distances--are more relevant. To address this limitation, we introduce EFormer, an Edge-based Transformer model that uses edge as the sole input for VRPs. Our approach employs a precoder module with a mixed-score attention mechanism to convert edge information into temporary node embeddings. We also present a parallel encoding strategy characterized by a graph encoder and a node encoder, each responsible for processing graph and node embeddings in distinct feature spaces, …

Fine‑Tuning Multimodal Large Language Models For Product Bundling, Xiaohao Liu, Jie Wu, Zhulin Tao, Yunshan Ma, Yinwei Wei, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Recent advances in product bundling have leveraged multimodal information through sophisticated encoders, but remain constrained by limited semantic understanding and a narrow scope of knowledge. Therefore, some attempts employ In-context Learning (ICL) to explore the potential of large language models (LLMs) for their extensive knowledge and complex reasoning abilities. However, these efforts are inadequate in understanding mulitmodal data and exploiting LLMs' knowledge for product bundling. To bridge the gap, we introduce Bundle-MLLM, a novel framework that fine-tunes LLMs through a hybrid item tokenization approach within a well-designed optimization strategy. Specifically, we integrate textual, media, and relational data into a unified …

Affinitytune: A Prompt-Tuning Framework For Few-Shot Anomaly Detection On Graphs, Jingyan Chen, Guanghui Zhu, Guansong Pang, Chunfeng Yuan, Yihua Huang

Research Collection School Of Computing and Information Systems

Graph anomaly detection (GAD) is a critical task with applications in domains such as networking, finance, and bioinformatics. % However, the scarcity of labeled anomalies and the limitations of unsupervised methods hinder effective detection. % While semi-supervised and few-shot learning approaches offer improvements, they struggle with knowledge transfer and rely heavily on labeled data. % Recent advancements in prompt tuning on graphs provide a promising direction, but their application to heterophilous graphs in anomaly detection remains underexplored. % In this work, we propose AffinityTune, a novel framework for few-shot graph anomaly detection based on prompt tuning. % Our approach introduces …