Digital Commons Network^™

Synthesis Of Antibody Functionalized Polyaniline/Polystyrene/N-Gqds Composite Fibermats For Sweat Based Cortisol Biosensing Applications, Ashwin James

Honors Theses

Noninvasive, wearable biosensors capable of detecting stress biomarkers in sweat require electrodes that are flexible, conductive, insoluble in water, and highly sensitive at low concentrations of analyte. In this work, bovine serum albumin blocked and anti-cmab immobilized nitrogen doped graphene quantum dots integrated polyaniline/polystyrene composite fibermat electrodes (BSA/Anti-Cmab/N-GQDs/PANI/PS electrodes) were synthesized and evaluated as a potential platform for an electrochemical cortisol biosensor in sweat based systems. Polyaniline was utilized in order to provide electrical conductivity, while polystyrene served as a carrying polymer for mechanical support and its hydrophobicity. Composite fibermats were manufactured through Forcespinning™, followed by a secondary polyaniline graft …

Deepfake Audio Detection, Rashed Alfalasi

Theses

The rise of deepfake audio technology has introduced a serious threat to information credibility, personal security, and media integrity. This thesis investigates the application of machine learning techniques for detecting synthetic audio through the analysis of acoustic features, including Mel-Frequency Cepstral Coefficients (MFCCs), spectral centroid, chroma_stft, and zero-crossing rate. The dataset used in this study was sourced from Kaggle and contains labeled samples of real and fake audio clips. The research aimed to train and evaluate multiple machine learning models—Support Vector Machines (SVM), Random Forest, XGBoost, Logistic Regression, and Neural Networks—to determine the most effective approach for deepfake audio classification. …

Hyaluronic Acid Loaded With Aloe Vera-Derived Extracellular Vesicles: A New Bioactive Approach For Fibrotic Scarring, Maria Camila Ceballos Santa

Theses

Disruptions in wound healing can result in pathological outcomes ranging from chronic nonhealing wounds to excessive fibrotic scarring. Hypertrophic scars and keloids are hallmarks of this dysregulation, characterized by abnormal collagen deposition, persistent myofibroblast activation, and disorganized extracellular matrix (ECM) remodeling. Chronic inflammation and oxidative stress play central roles by increasing reactive oxygen species (ROS), which damage essential macromolecules and sustain pro-inflammatory signaling, while promoting the transdifferentiation of fibroblasts into myofibroblasts and the excessive production of ECM proteins, such as collagen and α-smooth muscle actin (α-SMA). This fibrotic cascade leads to tissue stiffness, contractility, and disfigurement, affecting the well-being of …

Sciteuq: Toward Uncertainty-Aware Complex Scientific Table Data Extraction And Understanding, Kehinde Ajayi

Computer Science Theses & Dissertations

Scientific tables report critical research insights, data, and findings for scientific progress. Because Portable Document Format (PDF) is the de facto standard format for scientific paper publishing, there has been an emerging need for an automatic method to extract data from PDF files. A significant fraction of scientific tables exhibit complex structure and content, making it challenging for machine learning tools to accurately extract the content directly from PDF files. Despite the advancements in Table Structure Recognition (TSR), automated extraction of data from complex scientific tables remains a challenge due to variations in table structures and contents. In this dissertation, …

Aluminum As A Tracer Of Dust Deposition To The Ocean: A Case Study From The Bermuda Region, Tara Elizabeth Williams

OES Theses and Dissertations

Aluminum (Al), a major component of mineral aerosol (dust), partially dissolves in seawater and is widely used as a tracer for estimating time‐averaged dust fluxes to the ocean. Such estimates rely on dissolved Al (DAl) inventories in the surface mixed layer (SML), an assumed SML residence time of DAl (_TDAl), the fractional solubility of Al in dust (Al_S), and the mass fraction of Al in dust. In this study, dust flux estimated from seasonal, water-column DAl data from the Bermuda Atlantic Time-series Study (BATS) region are compared with direct dust flux estimated from contemporaneous measurements of …

Evaluation Of Ocean Lidar Enhancement Through Miniaturization And Gated Pmt-Based Range Extension, Chandler Austin Slater

OES Theses and Dissertations

Oceanographic lidar systems remotely characterize the vertical structure of the upper ocean by recording the light backscattered from a laser pulse as it propagates through the water column. Historically these systems have been constrained by limited detection ranges, often capturing only a portion of the illuminated water column, typically fading to noise around the 10% isolume. A primary constraint has been the limited dynamic range of digitizers, which inhibits the ability to resolve both intense near-field and faint far-field backscatter signals within a single acquisition. To address this, we developed a novel optical lidar system incorporating gated photomultiplier tubes (PMTs) …

Observed Parenting, Parent-Child Aggression, And Intimate Partner Violence As Predictive Of Family Dysfunction, Paige Munshell

Psychology Theses & Dissertations

Family systems theories contextualize violence as occurring across multiple levels of the family, yet much of the existing literature focuses on a single family member’s outcome (i.e., the child) and neglects to include data collected from fathers. This study examined the associations between indicators of functioning at the dyadic-level in the family system—observed parenting, Intimate Partner Violence (IPV) perpetration, and Parent-Child Aggression (PCA) risk—and later overall family dysfunction. Participants were 180 mothers and 144 of their male partners evaluated when their child was 18 months old and re-evaluated at 4 years old. Measures of observed parenting, IPV perpetration, and PCA …

Schema, Stigma, And The “We-Them” Divide: Perspectives On Ageism From Everyday Life To Healthcare, Temple D. West

English Theses & Dissertations

Ageism remains a pervasive and often underexamined form of discrimination, affecting older adults across both everyday and clinical contexts. This paper explores how cognitive schemas—mental frameworks that shape perception and experience—and stigma interact to reinforce a “we–them” divide between and older patients and healthcare providers, as well as between older and younger individuals in broader society. Through focus groups and listening to the voices of older patients, this study examines how assumptions of age-based decline are embedded in society and inform schemas of ageism. It considers how those schemas shape the spoiled identity of older people as a stigmatized group, …

Tracing The Journey Of Dissolved Organic Matter: From Leaf Litter Photodegradation To Microbial Processing In Tropical Streams, Samantha Nicole Sullivan

Chemistry & Biochemistry Theses & Dissertations

Dissolved organic matter (DOM) is a major reservoir of organic carbon in aquatic ecosystems and plays a central role in global carbon cycling through its transformation and remineralization to carbon dioxide (CO₂). As DOM moves from terrestrial environments into streams and rivers, its chemical composition is altered by a combination of microbial and photochemical oxidation processes that regulate both its reactivity and its persistence during transport. However, the molecular mechanisms governing these oxidative transitions, particularly in tropical ecosystems characterized by strong hydrologic seasonality and substantial inputs of plant-derived material, remain insufficiently resolved. This dissertation integrates ultrahigh-resolution mass spectrometry, optical characterization, …

Next-Generation Terrorism: Understanding Agentic Ai Systems And Potential For Malign Use, Alexis D'Amato, Ares Boira-Lopez, Emma Theobald, Meg Shercliffe, Jack Rygg, Samuel Hunter, Joel Elson

Reports, Projects, and Research

The call for an increased understanding of artificial intelligence in the U.S. AI Action Plan (The White House, 2025), in tandem with the growing use of AI by terrorist organizations (see Theobald et al., 2025), motivates our effort to provide clarity around the emerging technologies. In doing so, we define and distinguish the features of agentic AI and provide several case studies to illustrate the nefarious use of these tools. Although the current base rate for this type of use is low, we forecast hypothetical use cases given previous examples of terrorists adopting technology and outline the malign use of …

Illinois State University, One Hundred And Sixty-Sixth Annual Commencement, December 2025, Illinois State University

Commencement Programs

Illinois State University

One Hundred and Sixty-Sixth Annual Commencement

December 2025

Synergistic Effect Of Acacia (Cassia Siamea) Leaves Extract In Green Synthesis Of Ag/Tio2 Nanostructures For Dye-Sensitized Solar Cells, Joseph Adebanji, Gabriel Alamu, Khadijat Babalola, Ayodele Abiodun, Oludele Adegboyega, Hakeem Oyeshola, Oluwaseun Adedokun, Yekinni Sanusi

Journal of Applied Sciences and Nanotechnology

The green-synthesized silver-titanium dioxide (Ag/TiO2) nanocomposite was successfully produced in this study by the synergistic effects of the Cassia siamea leaf extract. In the visible portion of the electromagnetic spectrum, the absorbance improved when the nanoparticle was incorporated into TiO2. The energy gap of the composite reduced as the absorbance increased. Numerous functional groups in the formation of NP were detected by FTIR, and their possible role in NP formation was suggested. The synthesized nanoparticles and nanocomposites were found to be crystalline with X-Ray Diffraction (XRD) studies. The average crystallite size of the nanoparticle was 3.95 nm compared to nanocomposite …

Multiple Bursts Of Speciation In Madagascar’S Endangered Lemurs, Kathryn M. Everson, Luca Pozzi, Meredith A. Barrett, Mary E. Blair, Mariah E. Donohue, Peter M. Kappeler, Andrew C. Kitchener, Alan R. Lemmon, Emily Moriarty Lemmon, Carlos J. Pavón-Vázquez, Ute Radespiel, Blanchard Randrianambinina, Rodin M. Rasoloarison, Solofonirina Rasoloharijaona, Christian Roos, Jordi Salmona, Anne D. Yoder, Rosana Zenil-Ferguson, Dietmar Zinner, David W. Weisrock

Biology Faculty Publications

Lemurs are often cited as an example of adaptive radiation, as more than 100 extant species have evolved and filled ecological niches on Madagascar. However, recent work suggests that lemurs lack a hallmark of other adaptive radiations: explosive speciation rates that decline over time. Thus, characterizing the tempo and mode of evolution in lemurs can reveal alternative ways that hyperdiverse clades arise over time, which might differ from traditional models. We explore lemur evolution using a phylogenomic dataset with broad taxonomic sampling that includes the lorisiforms of Asia and continental Africa. Our analyses reveal multiple bursts of diversification (without subsequent …

Carbon Sequestration And Greenhouse Gas Emission Dynamics Of Forage Sorghum Cultivars In Southern Texas, Kusalika Madushani Kularathna

All Theses

Carbon sequestration is one of the major strategies for removing atmospheric carbon dioxide and fixing it in the soil and plants. The research study focused on the carbon sequestration and greenhouse gas dynamics of three different forage sorghum cultivars: Sugar Graze Ultra (annual), PSH20TX01 (perennial seeded), and PSH09TX15 (perennial rhizomes), in Southern Texas, where each cultivar had nine plots. The field study was conducted over two growing seasons, in 2024 and 2025, at the Prairie View A&M University research farm. Three different fertilizer rates, recommended, half-recommended, and zero fertilizer rates, were applied. Soil greenhouse gas emissions were measured using a …

Modeling And Control Of Spring-Mass Systems With Switched Dynamics Using Reservoir Computing, Osemudiamen Andrew Ihimekpen

All Theses

Hybrid spring-mass systems with dynamic state switching present significant challenges for modeling and control due to their complex nonlinear dynamics and discrete state transitions. In this research, a novel reservoir computing framework based on echo-state networks (ESNs) was proposed to model and control spring-mass systems with two distinct states: F1 (without air friction) and F2 (with air friction). The system switched between states based on velocity thresholds, creating a complex, hybrid dynamic that required sophisticated modeling approaches. The proposed method enabled efficient learning of spatiotemporal patterns in hybrid dynamics, offering accurate system identification and robust control capabilities.

The framework was …

Associations Between Trait Mindfulness And Distress In Fertility Patients: Evidence From Two Clinical Samples, Amanda Dillard, Brian Meier, Todd Williams, Michael Wolfe, Mili Thakur

Psychology Faculty Publications

Women who experience fertility problems often report high levels of distress. Trait mindfulness, or the tendency to be present-minded and accepting of one’s thoughts and feelings, could offset this distress. Aims: In two cross-sectional studies, we tested if fertility patients who were higher in trait mindfulness were lower in psychological distress as measured by anxiety and depressive symptoms, fertility-specific distress, and anticipated negative emotions. Method: Study 1 (N = 324; Age M = 34.3; 90% White) included women who had recently sought treatment for fertility problems, and Study 2 (N = 102; Age M = 32.9; …

Linking Climate And Demography To Predict Population Dynamics And Persistence Under Global Change., Jennifer L. Williams, Amy L. Angert, Aldo Compagnoni, Ali Campbell, Megan L. Demarche, Margaret E K Evans, Joshua C. Fowler, Amy M. Iler, Jenna A. Loesberg, Allison M. Louthan, Scott W. Nordstrom, Multiple Additional Authors

Publications, Reports and Presentations

Predicting the effects of climate change on plant and animal populations is an urgent challenge for understanding the fate of biodiversity under global change. At the surface, quantifying how climate drives the vital rates that underlie population dynamics appears simple, yet many decisions are required to connect climate to demographic data. Competing approaches have emerged in the literature with little consensus around best practices. Here we provide a practical guide for how to best link vital rates to climate for the purposes of inference and projection of population dynamics. We first describe the sources of demographic and climate data underlying …

Mass Spectrometry- And Genomic-Based Characterization Of Novel Glycosphingolipid-Producing Bacteria And Their Glycosyltransferases, Tahir Ali

Electronic Theses and Dissertations

Glycosphingolipids (GSLs) are a type of membrane-lipids commonly found in eukaryotes, as well as in bacteria from the order Sphingomonadales. In these bacteria, GSLs replace lipopolysaccharides as key structural and functional components of the outer membrane. These molecules play a crucial role in maintaining membrane integrity and helping bacteria adapt to environmental stresses. Additionally, they hold significant potential in biomedical research due to their ability to modulate the immune response through interactions with the CD1d receptor. Despite their important biological and biomedical roles, the diversity and biosynthesis of bacterial GSLs are far less understood compared to their eukaryotic counterparts. In …

The Fungal Microbiota Modulate Neonatal Oxygen-Induced Lung Injury, Isaac Martin, Mary Silverberg, Ahmed Abdelgawad, Kosuke Tanaka, Brian A. Halloran, Teodora Nicola, Erin D. Myers, Jay P. Desai, Catrina T. White, Ibrahim Karabayir, Oguz Akbilgic, Laura Tipton, Samuel J. Gentle, Namasivayam Ambalavanan, Brian M. Peters, Luan D. Vu, Viral G. Jain, Charitharth V. Lal, Stephania A. Cormier, Joseph F. Pierre, Tamás Jilling, Ajay J. Talati, Kent A. Willis

Division of Basic Science Faculty Publications

Background: The immature lungs of very preterm infants are exposed to supraphysiologic oxygen, contributing to bronchopulmonary dysplasia (BPD), a chronic lung disease that is the most common morbidity of prematurity. While the microbiota significantly influences neonatal health, the relationship between the intestinal microbiome, particularly micro-eukaryotic members such as fungi and yeast, and lung injury severity in newborns remains unknown. Results: Here, we show that the fungal microbiota modulates hyperoxia-induced lung injury severity in very low birth weight premature infants and preclinical pseudohumanized and altered fungal colonization mouse models. Instead of fungal communities dominated by Candida and Saccharomyces, the first stool …

“The Goal Is To Help The Community”: Motivations And Experiences Of Diverse Families In A Special Education Parent Advocacy Program, Diana Cruz

Dissertations

The Individuals with Disabilities Education Act (IDEA, 2004) entitles parents of eligible students with disabilities to meaningful participation in their children’s educational planning. Despite this mandate, many parents encountered barriers that limited their ability to participate in special education processes. These challenges were amplified for culturally and linguistically diverse (CLD) families who often lacked the social and cultural capital needed to navigate the system (Trainor, 2010b). Culturally and linguistically diverse parents experience systemic barriers such as limited interpretation, discrimination, and cultural differences that restrict their engagement (Buren et al., 2018; Doucet, 2011; Harry, 2008; Kalyanpur et al., 2000; Sanders-Smith et …

Reinsuring Ai: Energy, Agriculture, Finance & Medicine As Precedents For Governance Of Frontier Artificial Intelligence, Nicholas Stetler

Southern Illinois University Law Journal

Federal reinsurance for advanced artificial intelligence offers a credible foundation for managing risk at scale. Traditional legal tools such as regulation, litigation, and voluntary guidelines, lack the institutional capacity to address deep uncertainty, widespread spillover effects, and low-probability but catastrophic harms. A public financial infrastructure distributes risk, incentivizes responsible development, and enables earlier detection of emerging threats. Precedent exists in nuclear energy, agriculture, healthcare, and finance, where federal reinsurance enabled markets to function despite underlying volatility. The same institutional logic applies to frontier AI.

Part I explains how general-purpose and frontier AI models work, and why they have become a …

Geochemical Analysis Of The Eagle Ford Shale In Webb And Dimmit Counties, Tx, Natalie G. Girlinghouse

Electronic Theses and Dissertations

The Late Cretaceous Eagle Ford Shale of South Texas is a mixed carbonate–siliciclastic succession that serves as both a prolific hydrocarbon source and reservoir. This study integrates chemostratigraphy, mineralogical analysis, and elemental ratio proxies to reconstruct depositional environments and assess controls on detrital influx, paleoproductivity, and redox conditions across multiple cores in Webb and Dimmit counties. Major, trace, and redox-sensitive elements were evaluated alongside Total Organic Content (TOC) and carbonate content to identify stratigraphic trends and environmental shifts.

Results reveal distinct geochemical signatures between the Upper and Lower Eagle Ford Shale, with the Lower Eagle Ford characterized by elevated Al-rich …

Contrasting Climate Oscillations Impacts On Phytoplankton In The Western And Eastern Tropical Pacific, Lina An, Edward A. Laws, Xin Liu, Ruiying Chen, Shanlin Wang, Shijian Hu, Yuchen Zhang, Yibin Huang, Feipeng Xu, Fei Chai, Bangqin Huang

Faculty Publications

Climate oscillations like the El Niño-Southern Oscillation and Pacific Decadal Oscillation significantly impact marine ecosystems. Traditionally, warm events are thought to suppress nutrient availability, reduce phytoplankton biomass, and change community structure. However, using two decades of field observations, remote sensing, Copernicus reanalysis, and Earth system modeling, we find very different responses in the western tropical Pacific. During El Niño, chlorophyll concentrations and diatom contributions increase, while La Niña reverses that trend. The further amplification of these El Niño-Southern Oscillation-driven contrasts by the Pacific Decadal Oscillation can be attributed to its effects on regional circulation, including the enhancement of eddy activity …

Light Cues Drive Community-Wide Transcriptional Shifts In The Hypersaline South Bay Salt Works, Margaret M. Weng, Benjamin Klempay, Jeff S. Bowman, Luke Fisher, Cyprien Camplong, Peter T. Doran, Susan Rundell, Jennifer B. Glass, Avishek Dutta, Alexandra Pontefract, Douglas H. Bartlett, Britney Schmidt, Sarah Stewart Johnson

Faculty Publications

The transition from day to night brings sweeping change to both environments and the organisms within them. Diel shifts in gene expression have been documented across all domains of life but remain understudied in microbial communities, particularly those in extreme environments where small changes may have rippling effects on resource availability. In hypersaline environments, many prominent taxa are photoheterotrophs that rely on organic carbon for growth but can also generate significant ATP via light-powered rhodopsins. Previous research demonstrated a significant response to light intensity shifts in the model halophile Halobacterium salinarum, but these cycles have rarely been explored in situ. …

2025 Fall Commencement, Tennessee State University

TSU Commencements 2025-Present – Mr. Dwayne Tucker, President

No abstract provided.

Vaping Insights Perceptions And Experiences On A College Campus, Willard G. Jackson

Masters Theses and Doctoral Dissertations

The purpose of this study was to determine if relationships existed between student vaping habits in proximity to a college campus and current tobacco related bans implemented by the institution. Determining these relationships provided insights that can be utilized to maximize effectiveness of campus tobacco policy. Research outcomes represented a framework for educating current and potential tobacco consumers on campus regarding harm reduction, tobacco cessation, and resources available to prevent a lifetime of nicotine addiction or other tobacco related harm to health. The study addressed research questions in a mixed-methods design. Quantitative research questions included: Does a relationship exist between …

An Investigation Of Collateral Activity Effects On Behavior Maintained By A Drl 72‑Second Schedule, Cassidy M. Graham

Masters Theses

Impulsivity is a key behavioral trait with broad implications for clinical disorders such as Attention Deficit Hyperactivity Disorder ADHD, and substance use disorders SUD, where impaired inhibitory control contributes to maladaptive outcomes. In preclinical research, animal models provide valuable tools for examining behavioral processes associated with impulsivity. The Differential Reinforcement of Low Rates (DRL) schedule, offers a precise measure of response inhibition and timing by requiring subjects to withhold responses for reinforcement. This study employed DRL72s schedule to investigate impulsive action in male and female Sprague-Dawley rats, with an emphasis on sex-based differences and the potential influence of environmental factors. …

Bridging The Gap Between Network Science And Network Systems To Identify And Mitigate Cyber Risk: Identify And Mitigate Backdoor Attacks On Graph Neural Networks And On Complex Systems, Sabah Ettahri

Electrical & Computer Engineering Projects for D. Eng. Degree

This doctoral project aims to bridge the gap between graph theory and network science to identify and mitigate cyber risk, represented as a CY-Triangular Network that connects different networks. The CY-Triangular Framework is a cybersecurity system that integrates graph theory and network science through an interoperable learning approach. The objective of this project is to bridge the gap between two domains: network science and network systems. Accordingly, it examines one representative network from each field, focuses on a complex system network, and explores Graph Neural Networks (GNNs). The connection between these domains lies in graph theory. This research demonstrates that …

Disruption Of The Placenta–Brain Axis In Transgenic Mice Lacking Serotonin Transporter (Sert) In Trophoblast Cells, David T. Ellenberger, Zhen Lyu, Rosalind T. B. Herrington, Jessica A. Kinkade, Gustavo W. Leone, Ji Ying Sze, Nathan J. Bivens, R. Frank Baker, R. Michael Roberts, Trupti Joshi, Cheryl S. Rosenfeld

Biomedical Sciences

Serotonin reuptake inhibitors (SSRIs) are commonly prescribed to pregnant women experiencing depression. Such drugs, however, might adversely affect placenta and fetal brain development. Parietal trophoblast giant cells (pTGCs) in the mouse placenta are postulated to internalize maternal serotonin (5-HT) via transport through SERT, encoded by Slc6a4, and to provide the initial source of 5-HT to the emerging brain via the placental–brain axis. Genetic deletion of Slc6a4 in pTGCs has been hypothesized to impact placental and fetal brain development. A transgenic mouse line with high-affinity SERT, encoded by Slc6a4, was selectively deleted by pairing mice with Cre recombinase linked …

G2pdeep-V2: A Web-Based Deep-Learning Framework For Phenotype Prediction And Biomarker Discovery For All Organisms Using Multi-Omics Data, Shuai Zeng, Trinath Adusumilli, Sania Zafar Awan, Manish Sridhar Immadi, Dong Xu, Trupti Joshi

Biomedical Sciences

Multi-omics data offers rich insights into complex traits across organisms, yet integrating and analyzing these datasets for phenotype prediction and marker discovery remains challenging. Researchers need accessible tools that combine deep learning, hyperparameter optimization, visualization, and downstream analysis in a unified web platform. To address this, we developed G2PDeep-v2, a web-based platform powered by deep learning for phenotype prediction and marker discovery from multi-omics data across a wide range of organisms, including humans and plants. The server provides multiple services for researchers to create deep-learning models through an interactive interface and train these models using an automated hyperparameter tuning algorithm …