Digital Commons Network^™

Multi-Scale Drivers Of Beetle Biodiversity In A Rapidly Urbanizing Region, Alessandra Pandolfi

Graduate Studies Theses and Dissertations 2026

As cities continue to expand, designing urban landscapes that balance ecological resilience with biodiversity conservation has emerged as a pressing challenge. This dissertation examines urban ecosystems as complex and dynamic environments shaping plant and animal communities, with a particular focus on ground-dwelling beetles as ecologically significant indicators of environmental change. Conducted across the Orlando metropolitan area, one of the fastest-growing regions in the United States, this dissertation integrates experimental and observational approaches. Specifically, it aims to (1) test sustainable landscaping practices, (2) compare the ecological outcomes of conventional and alternative residential landscape designs, and (3) assess how gradients of urbanization …

Viral And Host Cell Determinants Of Resistance To Complement-Mediated Killing During Parainfluenza Virus Type 5 Infection, Jenna R. Aquino

Graduate Studies Theses and Dissertations 2026

RNA viruses are a major global public health concern due to high mutation rates, zoonotic potential, and immune evasion. Parainfluenza virus 5 (PIV5) can establish persistent infections (PIs) despite encountering innate immune responses, including the complement (C′) system. RNA virus replication produces defective interfering particles (DIPs) containing truncated defective viral genomes (DVGs) that depend on standard (STD) virus for replication. DVGs are increasingly detected in natural infections and modulate type I interferon (IFN-I), but their role in the C′ system is unclear. We investigated how DVGs affect C′-mediated lysis during PIV5 infection using real-time in vitro cell viability assays. C′ …

Microgravity-Induced Alterations In Left Atrial Hemodynamics And Thrombogenic Risk: Insights From Healthy And Atrial Fibrillation Models, Grace M. Hoeppner

Dissertations, Master's Theses and Master's Reports

Background: Microgravity exposure alters cardiovascular loading, yet its impact on left atrial flow dynamics and thrombotic risk remains poorly understood. This study investigates how spaceflight-relevant microgravity-induced changes in cardiac outflow affect left atrial hemodynamics in healthy individuals and patients with atrial fibrillation.

Methods: Patient-specific left atrial models were generated for three healthy individuals and three AF patients. Computational fluid dynamics (CFD) simulations were performed using each patient’s baseline mitral outflow waveform and two modified waveforms representing short- and long-duration post-flight cardiac loading changes derived from echocardiographic observations. Hemodynamic metrics included left atrial velocity, time averaged wall shear stress, oscillatory shear …

Computational And Ai Frameworks For Identifying Key Regulatory Genes And Their Target Genes In Plants And Humans, Md Khairul Islam

Dissertations, Master's Theses and Master's Reports

This dissertation presents computational and AI-driven frameworks for identifying key regulatory genes and their downstream targets across plant and human biological systems. Three studies address distinct challenges in genomic regulation using advanced machine learning and bioinformatics approaches.

The first study introduces DyGAF (Dynamic Gene Attention Focus), a dual-attention transformer framework that identifies and ranks disease-relevant biomarker genes by simultaneously modeling independent molecular responses and interdependent regulatory network behavior. Two attention models provide complementary perspectives on gene importance and are fused through a novel combination metric. Applied to COVID-19 nasopharyngeal swab profiles, the attention-weighted representations achieved 94.23% classification accuracy, high sensitivity, …

Physicochemical Characterization Of Small Extracellular Vesicles: Effects Of Immobilization, Isolation, And Disease State, Bianca M. Mercado Velez

Dissertations, Master's Theses and Master's Reports

Cancer treatments and survival outcomes have improved significantly in the last couple of decades, with survival rates increasing in the U.S. Despite improvements in treatment outcomes, early detection and treatment are crucial for improving cancer prognosis and survival rates. The standard cancer diagnostic procedure of tissue biopsy is highly invasive, leading to the further spread of cancer in some cases. Alternatively, the extraction of biofluids from cancer patients, also called a liquid biopsy, is increasingly popular because it is less invasive and more representative of the tumor microenvironment, which contains cancer cells, tumor genetic material, and extracellular vesicles, including small …

Targeted And Screening Based Approaches To Analyze Drm Transcriptional Repressor Complex Activity In Caenorhabditis Elegans, Emily Washeleski

Dissertations, Master's Theses and Master's Reports

The molecular machinery that control the eukaryotic cell cycle, specifically the processes that mediate the switch between cellular division or quiescence, are essential for cellular and organismal viability. However, how the same machinery integrates with developmental or differentiation programs is less well understood. In Caenorhabditis elegans, the 8-subunit DRM complex (for Dp, Rb and MuvB), whose subunits belong to the Synthetic Mulitivulva (SynMuv) B class genes, is a central regulator of the cell cycle but also prevents inappropriate cell fate specification. The conserved mammalian DREAM complex (for Dp, Rb, E2F, And MuvB) is best known as a transcriptional repressor …

Design, Syntheses And Biological Applications Of Fluorescent Probes For Nad(P)H, Hsa And Cellular Microenvironment Sensing, Adenike M. Olowolagba

Dissertations, Master's Theses and Master's Reports

Fluorescent probes have emerged as powerful tools for investigating complex biological processes due to their high sensitivity, selectivity, and capability for real-time, non-invasive imaging. In particular, the detection of key biomolecules such as NAD(P)H, viscosity-related parameters, human serum albumin (HSA), and pH is essential for understanding cellular metabolism, redox homeostasis, and disease progression. In Chapter 2, three coumarin-based fluorescent probes (A–C) were designed, synthesized, and characterized for monitoring NAD(P)H levels in living cells. Probes A and B feature coumarin–cyanine hybrid structures linked via vinyl and thiophene bridges to 3-quinolinium acceptors, respectively, while probe C incorporates a dicyano moiety to replace …

Investigating The Impact Of Cyanobacterial Harmful Algal Blooms On Freshwater Bivalves, Destiny Devlin

Theses, Dissertations and Culminating Projects

Harmful algal blooms (HABs) threaten freshwater ecosystems by producing toxins that disrupt aquatic organism functions and pose risks to human health. This study investigated how exposure to toxin-producing cyanobacteria affects the behavior and toxin accumulation of Asian clams (Corbicula fluminea) under controlled laboratory conditions. Asian clams were collected from a freshwater site in New Jersey, maintained in greenhouse bins, and fed either Microcystis novacekii (non-toxin-forming, control N=3) or Microcystis aeruginosa (toxin-forming, experimental N=3) at 100,000 cells/mL for 28 days. Weekly behavioral assays were conducted to track shell opening, burying, clustering, valve closure, foot extension, and time to first opening. Toxin …

High Potential, Uneven Uptake: Off-Grid Renewables In Agriculture Across The Global South, Muhamad Setyawan Bahari, Destia Mardhotillah

ASEAN Journal on Science and Technology for Development

Reliable energy access is widely recognized as essential for agricultural development, yet adoption of off-grid renewable energy technologies (RETs) in the Global South remains uneven despite their high potential. While RETs are increasingly promoted as solutions to food insecurity and energy poverty, evidence on what enables or constrains their uptake across agricultural contexts remains fragmented. This study systematically reviews 18 peer-reviewed articles published between 2013 and 2025 using the PRISMA framework and synthesizes findings through a PESTEL lens. The literature has expanded in recent years, reflecting growing policy attention to the energy–agriculture nexus, but remains concentrated in Asia and heavily …

Real-Time Immersive Wildfire Simulation: A Game Engine Approach, Jake Bova

Graduate Student Theses, Dissertations, & Professional Papers

Wildfires are growing in frequency, size, and severity, placing escalating demands on firefighting resources and putting lives, property, and ecosystems at risk. Accurate prediction of fire behavior is critical to suppression planning, evacuation decisions, and firefighter training, yet the operational models that fire managers rely upon face a persistent tradeoff. High-fidelity physics-based models capture fire–atmosphere interactions faithfully but are computationally expensive, often running far slower than real time on CPU hardware, while faster empirical models sacrifice the dynamic coupling between a fire and the wind field it generates. Furthermore, most existing tools produce abstract, two-dimensional outputs that offer limited visual …

Evaluating Multi-Year Transferability Of Single- And Multi-Class Machine Learning For Remote Monitoring Of Beaver-Engineered Landscapes, Harris J. Sloan

Graduate Student Theses, Dissertations, & Professional Papers

Long-term satellite image archives enable ecological monitoring at large scales, but manual extraction of fine-grained features (e.g., beaver dams) remains time-consuming. Machine learning models may automate these tasks, but their temporal transferability for multiannual monitoring is still poorly resolved.

We evaluated the performance of two complementary neural-network frameworks across a 100,000-hectare watershed in Montana USA, using a decade of satellite imagery (2014-2024): (i) a single-class ResNet-50 beaver dam detector, and (ii) a multi-class ResU-Net landcover classifier.

In 2024, the dam detector identified 352 of 404 mapped dams, achieving balanced accuracy = 93.6%, precision = 79.8%, recall = 87.1%, F1 = …

Feral Horses And Native Ungulates: Evaluating The Potential For Competition In Predator–Prey Communities Of Alberta’S Upper Foothills, Birch Gano

Graduate Student Theses, Dissertations, & Professional Papers

Feral herbivores are expanding in range and numbers globally, yet their community-level effects in ecosystems are poorly resolved. We evaluated whether feral horses reshape predator–prey–vegetation dynamics in Alberta’s Upper Foothills, Canada, through two pathways; i) potential exploitative competition for forage and ii) apparent competition via shared predators. We combined fecal DNA metabarcoding with remote wildlife cameras to quantify diets, spatiotemporal co-occurrence, and the role of horses in carnivore diet. We analyzed 241 ungulate scats (feral horses, elk, bighorn sheep, cattle, moose, and deer), 96 combined camera-years at 23 sites, and 190 carnivore scats (wolves, cougars, coyotes, bears) from 2023–2025. The …

Metabolic Syndrome Beyond Diagnostic Criteria: Population-Scale Integrative Metabolomics Characterization, Marwa Talal

Theses and Dissertations

Background: Metabolic syndrome (MetS) is a complex cluster of interrelated metabolic abnormalities associated with elevated cardiometabolic risk. While diagnosis is based on well-established five clinical criteria, these may overlook early or atypical metabolic alterations. Large-scale metabolomic profiling offers an opportunity to identify biochemical signatures of MetS beyond diagnostic bias and to evaluate their relative importance across different presentations of the syndrome.

Methods: Data from 117,147 UK Biobank participants were analyzed in a cross-sectional design. High-throughput NMR quantified 75 circulating metabolites, for. Univariate analyses, MetS subtype stratification, and elastic net models with SHAP interpretation were applied to assess feature …

Moth Assemblages Of Fort Leonard Wood, Missouri, Kimberly Anne Steese

Masters Theses

"Moths (Lepidoptera) are ecologically important insects that function as herbivores, pollinators, prey resources, and indicators of ecosystem integrity. Despite their ecological significance, moth communities in the Missouri Ozarks remain poorly documented, particularly within military-managed landscapes. This thesis examined patterns of moth diversity, assemblage structure, and environmental drivers at Fort Leonard Wood (FLW), Missouri, while also assessing the distribution and genetic diversity of species within the genus Papaipema.

Field surveys were conducted from 2019 through 2021 across prairie, savanna, forest, and restoration habitats at FLW using UV bucket traps, sheet trapping, and targeted larval surveys. Across all sampling efforts, 29,116 individual …

Nanoparticle Carriers Enhance The Prophylactic Antiviral Effects Of Dsrna In Vitro And Ex Vivo, Shayne Oberhoffner, Stephanie Dewitte-Orr, Starla Richardson, Leah Haile, Dominique Daniels, Erin Cooper, Aizah Ijaz, Janet Velasquez Perez, Mathilde Peruzzi, Bertrand Collet, Paul Craig, Kristof Jenik

Theses and Dissertations (Comprehensive)

Aquaculture now outpaces traditional capture fisheries as the world population and demand for sustainable protein sources increases. Wild and farmed species are increasingly susceptible to pathogen spread as global temperatures rise and stocking densities increase. Despite the devastating losses experienced by aquaculture due to viral infections, there remain few effective prophylactic antiviral therapeutics. Long double-stranded (ds)RNA is a uniquely viral molecule produced by nearly all viruses during their replication cycle, and its detection by salmonids like rainbow trout (Oncorhynchus mykiss) and chinook salmon (Oncorhynchus tshawytsha) leads to the establishment of a defensive antiviral state. Previous in vitro studies demonstrated a …

Eeg Correlates Of Tactile Synchrony, Devon K. R. Gallagher

Theses and Dissertations (Comprehensive)

New research on the tactile system has suggested that cortical representations of body parts are not fixed, as previously thought, and are instead dynamically maintained through constant sensorimotor information and feedback. Within the somatosensory cortex (S1), the capacity for both permanent and temporary changes have been the topic of ongoing research. The current study aimed to corroborate whether 24 hours of a finger adhesion manipulation is sufficient to elicit behavioural and electrophysiological correlates from cortical reorganization of digit representations in S1, using a behavioural paradigm outlined by Kolasinski et al. (2016). Through electroencephalography (EEG) recording during a tactile discrimination task, …

Taylorkan-Vit: Parameter-Efficient Vision Transformers For Medical Image Classification, Kaniz Fatema, Dr. Emad Mohammed, Dr. Sukhjit Singh Sehra

Theses and Dissertations (Comprehensive)

Effective and interpretable classification of medical images remains a critical challenge in computer-aided diagnosis, particularly in data-scarce and resource-constrained clinical settings where traditional deep learning models prove impractical. This study addresses the fundamental barrier to Vision Transformer adoption in medical imaging—massive parameter counts and data requirements—through a systematic two-phase methodology. Phase 1 evaluates three spline-based Kolmogorov–Arnold Network (KAN) variants to identify the optimal nonlinear approximation function for parameter-efficient medical image classification: SBTAYLOR-KAN (B-splines with Taylor series), SBRBF-KAN (B-splines with Radial Basis Functions), and SBWAVELET-KAN (B-splines with Morlet wavelets). Comprehensive experiments across brain MRI, chest X-rays, and tuberculosis datasets—without any image …

Retention Time Of Microplastics In The Purple Sea Urchin (Arbacia Punctulata), Alexandra Shore

Honors Theses and Capstones

Marine ecosystems around the world are facing the problem of plastic pollution. Large pieces of plastic eventually degrade into smaller microplastics that are suspended in the water column and sink to the seabed. Sea urchins are exposed to microplastics as they graze on the sea floor and can accidentally consume these pollutants. Sea urchins are ecologically important animals because they physically alter their ecosystem via grazing and are integral part of marine food webs. To better understand how sea urchins interact with microplastics, purple sea urchins were exposed to microfibers and microspheres in a laboratory setting, and the retention time …

Multisystem Predictors Of Dynamic Gait Stability Across Fall Risk In Older Adults, Ashwini Kulkarni, Neda Moghim, Ross Gore, Soumya Banerjee, Christopher K. Rhea, Brittany Samulski

Rehabilitation Sciences Faculty Publications

Gait stability arises from interactions between physiological, cognitive, and psychological systems, yet these domains are often assessed in isolation. This study examined multisystem predictors of anteroposterior margin of stability during walking (MoSAP) in community-dwelling older adults. Of 340 participants, 143 were retained after data quality screening (105 females; age: 70.8 ± 7.8 years). Participants completed the Physiological Profile Assessment (PPA), cognitive testing using Montreal Cognitive Assessment (MoCA), fear-of-falling evaluations using Modified Falls Efficacy Scale (MFES) and a biomechanical gait assessment during preferred and fast speeds. Participants were stratified into four PPA-based fall-risk groups: low, mild, moderate, and high risk. MoSAP …

Uncertainty-Guided Test-Time Optimization For Personalizing Segmentation Models In Longitudinal Medical Imaging, Jaehee Chun, Austin Castelo, Mckell Woodland, Caleb O'Connor, Mais Al Taie, Mohamed Eltaher, Aashish Gupta, Bilel Daoud, Shanli Ding, Jeddy Bennett, Anirban Maitra, Matthew A Firpo, Kimberly Kirkwood, Eugene J Koay, Kristy K Brock

Faculty, Staff and Student Publications

Background: Accurate and consistent image segmentation across longitudinal scans is essential in many clinical applications, including surveillance, treatment monitoring, and adaptive interventions. While personalized model adaptation using patient-specific prior scans has shown promise, current approaches typically rely on fixed training durations and lack mechanisms to determine optimal stopping points on a per-patient basis, particularly in the absence of validation labels.

Purpose: We propose an uncertainty-guided test-time optimization (TTO) framework that dynamically adjusts the personalization duration for each patient using a validation-free stopping criterion based on predictive uncertainty.

Methods: Our framework personalizes a generalized segmentation model using patient-specific prior imaging and …

Element-Based Predictive Modeling Of Hydrothermal Liquefaction Bioproducts Derived From Corn Stover, Isamu Umeda, Meicen Liu, Yi Zheng, Jiefu Wang, Zhiwu Wang, Sandeep Kumar

Civil & Environmental Engineering Faculty Publications

The hydrothermal liquefaction (HTL) process offers an energetic advantage over pyrolysis because it does not require prior drying of the biomass feedstock. However, there are significant challenges in simultaneously estimating both the yields and characteristics of products from the HTL of biomass with theoretical support. This study developed a unique element-based kinetic model to predict the yields, higher heating values, and fuel characteristics of solid residue and heavy bio-oil, based on the temperature, residence time, solid loading, and elemental composition (C, H, N, and O) of corn stover. Furthermore, the model predicted the weights of dissolved carbon and nitrogen in …

Harnessing Activated Sludge For The Treatment Of Hydrothermal Liquefaction Wastewater: A Proof-Of-Concept Study, Cyrus Li, Jiefu Wang, Meicen Liu, Yi Zheng, Sandeep Kumar, Isamu Umeda, Chandan Mahata, John Norton

Civil & Environmental Engineering Faculty Publications

Although hydrothermal liquefaction (HTL) is the leading technology in converting wet biomass into bioenergy, the treatment of its toxic-laden aqueous phase wastewater presents a major challenge on its path toward commercial viability. This study presents the first-ever assessment of sewage sludge-fed HTL wastewater (SS-HTLWW) treatment and toxic compound removal using municipal activated sludge (AS) by optimizing its cultivation condition. It was found that AS with optimized pretreatment can remove up to 91.2% of the soluble chemical oxygen demand (sCOD) in SS-HTLWW, of which up to 82% can be attributed to biological mineralization and adsorption of sCOD by AS. Conventional bioprocess …

Technical Skills And Their Roles In Agribusiness Supply Chain Management Education, Ryan Loy, Logan L. Britton, F. Bailey Norwood

Agricultural Economics and Agribusiness Faculty Publications and Presentations

The integration of advanced technical skills and supply chain management (SCM) tools is critical for the evolving demands of agribusiness. This study identifies the technical competencies, software proficiencies, and educational strategies essential for preparing students to excel in modern SCM roles. Through semi-structured interviews with 26 SCM professionals across US agribusiness sectors, the study highlights the demand for expertise in tools such as SAP, Power BI, and SQL alongside capabilities in data-driven decision-making and adaptability. Despite theoretical preparation, graduates often lack practical experience with industry-standard technologies, underscoring a gap in academic curricula. The findings suggest that agribusiness programs should emphasize …

Towards Acoustic Bioindicator Integration In Ai-Based Wildfire Monitoring: A Systematic Review, Sabah Mustafa, Mahsa Mohaghegh, Iman Ardekani, Abdolhossein Sarrafzadeh

Electrical & Computer Engineering Faculty Publications

Wildfires are becoming more frequent, severe, and long-lasting, driving rapid growth in sensor-based and artificial intelligence (AI)-enabled systems for early detection and risk assessment. This article presents a systematic literature review, based on 169 studies screened from 7511 records, of wildfire monitoring approaches using satellite and aerial remote sensing, fixed cameras, wireless sensor networks, and Internet of Things (IoT) platforms combined with machine learning (ML) and deep learning (DL) models for ignition detection, fire-weather indices, spread prediction, and burned-area mapping. The review organizes existing work by sensing modality, spatial and temporal scale, learning task, model type, and deployment architecture, and …

Automation And Habitat Development For A Space Based Marine Life Environment, Logan Trimmer, Alexander Hang

Harrisburg University Other Works

This project was a cross-collaboration between the Environmental Sciences and Advanced Manufacturing and Robotics programs for the company Monolith Space.

The goal of this project was to design an autonomous system to be able to track qualities of water in an aquaculture system designed to be sent to space.

Evaluating The Role Of Power Electronics In Enhancing Renewable Energy And Smart Grid Performance: A Review, Muhammad Irfan Habib

ASEAN Journal on Science and Technology for Development

The review article demonstrates the importance of power electronics in propelling the increase of renewables and increasing the efficiency of contemporary electrical grids. In particular, it highlights the need for bidirectional converters for effective energy management in vehicle-to-grid (V2G) systems with two-way power transfer. The paper examines the series of complications offered by the significantly large integration of power electronic converter-interfaced renewables, such as those related to system steadiness, power quality, and resignation bottlenecks. Also, it recognizes a mix of new technologies, such as wide bandgap (WBG) semiconductors like silicon carbide (SiC) and gallium nitride (GaN), that deliver superior performance …

Artificial Neural Network Based Protection For Dc Bus Using Solid State Dc Breaker, Eswaraiah Giddalur, Askani Jaya Laxmi

ASEAN Journal on Science and Technology for Development

Low voltage Direct Current (LVDC) microgrids have been extensively used as a hopeful technology with high access to distributed energy resources (DERs) and DC loads, due to the absence of multiple conversions. A high amplitude Fault current together with the vulnerability of electronic devices, poses a great challenge to the line protection in LVDC microgrids. Electromechanical switches are slow and take long tripping time to clear the short circuit fault. Power electronic circuit breakers are used to achieve fast fault interruption recent progress in areas like machine learning and natural language processing have affected nearly every assiduity and area of …

Extraction And Characterization Of Fresh And Dehydrated Cactus (Opuntia Ficus Indica) Polysaccharide For Hydrogel Preparation, Aye Thwe Thwesoe, May Myat Khine

ASEAN Journal on Science and Technology for Development

In this research, extraction of polysaccharide compounds from Cactus (Opuntia Ficus Indica) leaves in both fresh and dehydrated condition by solvent precipitation method using three types of water, acid (HCL) and NaOH. Before extraction, the physicochemical properties were examined to determine optimum yield (%) of extracted polysaccharide by optimization of Box-Behnken Design (BBD) of response surface methodology (RSM). The polysaccharide-based acrylamide hydrogel was prepared by free radical polymerization. The functional and structural characterization was done by FTIR, XRD and SEM for examination of extracted polysaccharide as raw polymer backbone in hydrogel preparation and prepared hydrogel as adsorbent for metal removal. …

Unlocking Green Potential In Indonesian Small Medium Enterprises: Challenges And Opportunities For Sustainable Vermicelli Production, Togar W. S. Panjaitan, Karina Agustin, Prayonne Adi, Jani Rahardjo, I Nyoman Sutapa

ASEAN Journal on Science and Technology for Development

Due to limited initiatives and support, the transition to green manufacturing among small and medium enterprises (SMEs) in developing countries remains challenging. Through a critical literature review and case study of the Indonesian vermicelli industry, this study highlights the importance of collaboration and strong policies to address this. Other findings also reveal that the energy intensity and emissions in the sector exceed best practice benchmarks, with the cooking and drying stages contributing significantly to emissions due to high energy consumption. Lack of government regulations, company awareness, and understanding of applicable practices and technologies creates challenges in green manufacturing. The study …

Hybrid Model For Phishing Website Detection Using Transfer Learning, Atul Dubal, Mansi Subhedar, Santosh Dhamala, Manasi Patil

ASEAN Journal on Science and Technology for Development

The rapid digitization of human activities has intensified reliance on internet-based platforms, creating fertile ground for cybercriminal exploits such as phishing. Despite advancements in detection mechanisms, phishing attacks continue to evolve, leveraging sophisticated visual mimicry to deceive users. This paper proposes a robust vision-based phishing detection system using ensemble deep learning to analyse webpage screenshots. The framework integrates transfer learning with pre-trained VGG16 and DenseNet121 models, extracting complementary low-level texture features (edges, gradients) and high-level hierarchical patterns (logos, layouts). These features are fused through a custom classifier with dropout regularization to mitigate overfitting. A balanced dataset of 3,000 webpage screenshots …