Digital Commons Network^™

Mapping Coastal Vegetation To Evaluate Salt Marsh Decline From 2016 To 2025 In South Carolina, Usa, Zak Henry Bartholomew

Theses, Dissertations and Capstones

Accelerating sea-level rise and storm surge events pose a substantial threat to salt marsh ecosystems, which provide critical ecosystem services. Classification and mapping of coastal vegetation through remote sensing can identify marsh dieback events and provide spatial context for patterns of marsh vulnerability. We used a multi-sensor approach that incorporated LiDAR data, multispectral imagery, and field-derived cover estimates to classify Spartina alterniflora (smooth cordgrass) dominated marsh types on Marine Corps Recruit Depot Parris Island (MCRDPI), a sea island in South Carolina, USA. In summer 2025, surveys were conducted within marsh classes to collect training and validation data. We used random …

Effects Of Desiccation On Invasive Faucet Snail (Bithynia Tentaculata) And Trematode Survival, Elise Marie Jordahl

Graduate Research Theses & Dissertations

Parasitism is one of the most common and diverse life history strategies, yet relatively little is known about the role of parasites as invasive species. Invasive species, which present one of the greatest threats to biodiversity, often need to overcome adverse environmental conditions as they establish and spread in new habitats. Invasive parasites are subject to these same conditions, though the effects may be mediated through their hosts. Here, I use an invasive snail and its trematode parasites to quantify the effects of desiccation on survival to better understand how processes of invasion play out in host-parasite systems. The faucet …

First-Job Contract Review Cheat Sheet, Johanna Jones-Morris, Ashlee Martellacci

Teaching and Learning Resources

This cheat sheet helps first-time employees understand what to review before signing an employment contract. It highlights job duties, compensation, scheduling, employment terms, benefits, restrictive clauses, worker classification, and common red flags so that individuals can ask informed questions and recognize potentially unfair or unclear terms.

Management-Driven Shifts In The Bison Fecal Microbiome And Its Relationship To Stec Prevalence, Ritesh Ray

Graduate Research Theses & Dissertations

Contamination of meat samples from pathogens such as Shiga toxin-producing E. coli (STEC), especially in ruminants, is an ever-growing issue for the safety of global meat production. Recent studies have reported STEC in the livestock and food industry with a limited focus on wildlife. Although cattle serve as the primary reservoir for STEC, American bison (Bison bison bison) is the largest ruminant inhabiting North America, sharing similar genetics, and grazing habits, making them an ideal alternative STEC reservoir. Re-introduction for prairie conservation and meat farming has brought bison herds closer to anthropic environments than before. Recently bison meat has become …

The Influence Of Dna Methylation On Both H2a.Z Nucleosome Dynamics And The Zinc Finger And Homeoboxes Transcription Factor Family, Rochelle M. Shih

Student Theses and Dissertations

DNA methylation represents a widespread and heritable modification that exerts substantial influence on chromatin organization and function in many eukaryotic genomes. The presence of DNA methylation has been strongly linked to transcriptional regulation, in both activating as well as repressive ways, though exactly how a small chemical mark can enact such drastic and seemingly opposing effects on gene expression remains an open question. In my thesis work, I describe the influence DNA methylation has on two classes of chromatin proteins, the histone variant H2A.Z and the Zinc Finger and Homeoboxes (ZHX) family of transcription factors. DNA methylation and H2A.Z preferentially …

Building Public Health Data Dashboards: Tutorial Playbook, Elwin Wu, Raymond Balise, Benjamin Katz, Daniel R. Harris, Matthew Bullard, Naleef Fareed, Marc Larochelle, Jennifer Villani

Institute for Biomedical Informatics Faculty Publications

Public health data dashboards have substantial potential to improve transparency, understanding, and decision-making at multiple levels, from individuals to public health practitioners and policymakers. However, creating effective dashboards presents many challenges. In this case-based tutorial on public health dashboard development, we share lessons learned from our experience developing data dashboards for the HEALing Communities Study (HCS), a National Institutes of Health (NIH)–funded, community-engaged intervention to deploy evidence-based practices to reduce opioid overdose deaths in 67 communities across 4 states. We present key decision points dashboard teams must address, along with the major considerations and trade-offs that shaped our approach. First, …

Greenhouse Gas Report For Western Australian Wild-Catch Fisheries And Aquaculture 2004-2025, Christophe D'Abbadie, Johnny Machon, Dipesh Maharjan, Mark Goninon, Pia Dobson, Jason How, Rodney Duffy Dr., Ainslie Denham, Shaye Carman, Trina Anderson

Climate Science Published Reports

This report provides a comprehensive analysis of greenhouse gas (GHG) emissions from Western Australian wild-catch fisheries and aquaculture for the fiscal years (FY) 2004/05 to 2024/25. These industries represent important components of the Western Australian primary production sector, with distinct emissions profiles and trends.

Key Findings:

Emissions from wild-catch fisheries have declined significantly over time, from approximately 0.341 million tonnes of carbon dioxide equivalent (Mt CO₂e) in FY 2004/05 to 0.136 Mt CO₂e in FY 2024/25, a reduction of approximately 60%.

Emissions from aquaculture in FY 2024/25 were approximately 0.350 Mt CO₂e, reflecting substantial industry growth from near-negligible levels in …

Aggregation Bias In Multi-Industry Economic Contribution Analysis: The Case Of Kentucky Forest Sector, Domena A. Agyeman, Thomas Ochuodho, Omkar Joshi

Forestry and Natural Resources Faculty Publications

Closely related industries are often aggregated in US forest sector economic contribution analysis, yet the choice of aggregation scheme can influence results. The Impact Analysis for Planning (IMPLAN) system is the most widely applied input–output model for forest economic contribution analysis in the US. In IMPLAN, the level of industry aggregation determines which inter-industry transactions are restricted, thereby influencing the magnitude of estimated indirect and induced effects. Although IMPLAN practitioners can model individual industries to avoid aggregation bias, they must still decide whether to analyze forest industries as a single group, as traditional subsectors, or individually. This decision can alter …

Trustworthy Multimodal Ai For Medical Imaging: Enhancing Diagnosis, Reasoning, And Human-Agent Interaction In Extended Reality, Jai Prakash Veerla

Computer Science and Engineering Dissertations

The transition from traditional microscopy to digital pathology has digitized diagnostic data, yet clinical workflows remain constrained by two-dimensional screens and passive, opaque analysis tools that fail to capture the spatial complexity of biological systems. While Foundation Models now promise to reason across histology and genomics, a critical disconnect persists between the richness of this data and the limited cognitive bandwidth of clinicians, who currently lack the immersive interfaces and trustworthy agents necessary to utilize it effectively. This dissertation presents a unified framework for "Embodied Agentic AI," establishing a pipeline that augments physician capabilities through immersive visualization, robust security, and …

Toxic Torts Are In Your Blood: An Examination Of Pfas And Tort Liability, Aiden M. Holden

Undergraduate Theses, Professional Papers, and Capstone Artifacts

Abstract

Per- and polyfluoroalkyl substances (PFAS), are a group of chemicals widely manufactured for industrial and commercial applications in the past decade due to their remarkable stability. Despite the “useful” nature of PFAS in various applications, they represent one of the most profound environmental and public health crises of the modern era. The chemical stability of PFAS has made them almost completely resistant to natural degradation, earning them the moniker “forever chemicals.” PFAS forever haunt our plant, contaminating the soil, water, and the blood of approximately 95% of the United States population. As the scale of corporate malfeasance by chemical …

Characterizing Immune Perturbations In Peripheral Blood Following The East Palestine, Ohio Train Derailment, Sheridan B. Wagner, Hami Hemati, Siva Gandhapudi, Timothy J. Hilbert, Candace J. Brancato, Erin N. Haynes, Ilhem Messaoudi

Microbiology, Immunology, and Molecular Genetics Faculty Publications

Background: The East Palestine, Ohio, train derailment on February 3rd, 2023, resulted in the exposure of residents and the surrounding area to numerous hazardous chemicals, which included known acute irritants and human carcinogens. Despite evacuation and cleanup, both residents and responders reported high occurrences of symptoms associated with exposure in the months following, such as eye, skin, and respiratory irritation, headaches, and fatigue. The long-term health consequences for residents remain uncertain.

Objective: To assess the potential for immune perturbations resulting from the exposure, we performed a broad investigation of circulating immune cells and mediators from residents of East Palestine, OH, …

Combinatorial Immunotherapy Drives Exhaustion In Tumor Antigen–Specific Cd8+ T Cells Within The Mouse Renal Tumor Microenvironment, Holly R. Stephens, Elizabeth Elkins, Jing Li, Zoey N. Swalley, Henry Nnaemeka Ogbonna, Pia Muri, Zachary Roberts, Francesca R. Dempsey, Md Akkas Ali, Md Hasanul Banna Siam, Richard Kirkman, Jianqing Zhang, Sunil Sudarshan, Daniel J. Tyrrell, Hubert M. Tse, Daniel L. Smith Jr, Lyse A. Norian

Microbiology, Immunology, and Molecular Genetics Faculty Publications

Immunotherapies have greatly improved outcomes for patients with renal cell carcinoma (RCC), yet response rates remain suboptimal and the factors promoting therapy resistance versus sensitivity are incompletely understood. Currently, no preclinical model of orthotopic renal cancer exists that permits evaluation of tumor antigen–specific (TAS) CD8⁺ tumor-infiltrating lymphocytes (TILs). To address this deficiency, we developed a mouse renal cancer model that permits tracking of adoptively transferred TAS CD8⁺ T cells. Renca-LUC tumor cells were transduced to express tumor ERK (tERK), a model antigen expressing a one-amino-acid change from wild-type ERK, resulting in recognition by tERK/H-2K^d-specific DUC Thy1.1 …

Impact Of Cross-Client Heterogeneity In Federated Learning For Real-World Plant Disease Classification, Ritesh Janga

All Graduate Theses, Dissertations, and Other Capstone Projects

Deep learning applications are being adopted in agricultural image analysis that include challenges of data privacy and limited institutional data and heterogeneity of different types of architectures. However, Federated Learning is a model that allows collaborative training on data that does not have to be shared among parties. Therefore, Federated Learning is an effective method of collaborative training; however, its comparative effectiveness as compared to individual (local) training on diverse architectures has never been examined in an agricultural context. The objective of this study was to examine Federated Learning for the purpose of crop disease classification on extreme non-IID distributed …

Cordgrass (Spartina Alterniflora) In Bio-Restoration Integrated Coastal Substrate (Brics): Restoring The New England Coastline., Kaitlyn Frances Shelley

UNH URC Open (2026 and after)

The Engineering for Agri-Environment Laboratory (EAE) is dedicated to developing nature-based solutions that enhance the resilience of agricultural and coastal ecosystems. The study involves current work (trial 2) underway in Spring 2026 and Summer 2026, integrating principles of sustainable engineering and plant science. BRICS, our Bio-Restoration Integrated Coastal Substrate, proposes a new way to reduce erosion, stabilize root structures, provide a critical habitat for wildlife, and promote vegetation throughout the coast.

Soil Organic Carbon And Soil Health Property Responses To Land Management Across Topographic Positions, Mia D. Makovsky

All Graduate Theses, Dissertations, and Other Capstone Projects

uring the last ice age, ice sheets advanced and retreated across the upper Midwest, leaving behind a landscape characterized by poorly drained hummocky topography. Well-aerated soils have formed on uplands and lowlands are dominated by hydric soils. These wetlands and hydric soils have potential to store large quantities of carbon, particularly compared to the well-aerated uplands, but many have been drained and cultivated for decades. Conservation agriculture methods have emerged to protect and conserve soil health from negative effects due to cultivation.The purpose of this study is to determine how agricultural management practices and landscape properties (e.g, topographic position) affect …

Toward Interpretable Multi-Omics Multimodal Biomedical Artificial Intelligence, Yanjun Lyu

Computer Science and Engineering Dissertations

The complexity of human disease arises from biological processes that unfold across multiple scales, from molecular variation through cellular function, tissue organisation, brain phenotypes, each of which is associated with distinct measurement modalities, regularities, and characteristic. Contemporary biomedical artificial intelligence has brought the opportunity to reveal the complexity with in; however, its methodological default, in which models are trained on most readily available modality, does not adequately engage with the multi-scale connected structure by which biological meaning is constituted. The research area of multi-omics and multi-modal AI for biomedicine remains at an early exploratory stage, and the work presented in …

Common Census Methods Can Lead To Fundamentally Different Ecological Interpretations Of Coral Reef Fish Communities, Helen F. Yan, Samantha K. Crisp, David R. Bellwood, Alexandre C. Siqueira, Sterling B. Tebbett

Research outputs 2022 to 2026

In an era of large-scale stressors, scientists are racing to collate equally large datasets to answer macroecological questions. Coral reefs lie at the forefront of system-wide transformations and are thus the focus of many macroecological studies. A lack of standardised, global data across time, however, has resulted in the coalition of data from disparate sources, often comprising different survey methods. However, can we make the same ecological inferences from data collected using different survey protocols? Here, we employed two of the most common reef fish census techniques—point counts and belt transects—of varying survey effort (time and area) to assess whether …

Strengthening Ocean Literacy: Marine Science Education And Training To Ensure Australia's Blue Future, Prue Francis, Rachel Kelly, Louise Swanson, Tanveer M. Adyel, Benjamin Arthur, Kirsten Benkendorff, Melanie J. Bishop, Helen Bostock, Marnie L. Campbell, Emma Church, Corrine Condie, Vaibhavi Dwivedi, Michelle Dyer, Matthew England, Liam Fullbrook, Charlie Huveneers, Malcolm Johnson, Brianna Le Busque, Rebecca R. Mcintosh, Amelie Meyer, Benjamin Mos, Jana Mrazova, Allyson O'Brien, Gretta T. Pecl, Amandine Schaeffer, Rebecca J. Shellock, Grant A. Smith, Scott Smithers, Ana Vila-Concejo, Graham Wood

Research outputs 2022 to 2026

This white paper sets out a national vision for advancing ocean literacy in Australia and outlines the role of marine science in fostering an informed, engaged society capable of addressing the challenges and opportunities of our changing oceans. As environmental pressures intensify, and marine resource demands increase, Australians’ capacity to engage with ocean issues, understand risks and opportunities, and participate in marine decision-making has never been more urgent. Marine science will play a central role in building ocean literacy by delivering credible, actionable science, and strengthening education and training systems that enhance understanding of, and connection to, the ocean. Our …

Influence Of Rice Hull Biochar And Cedar Bark Media On Strawberry Productivity And Carbon Sequestration Potential In Hydroponic Systems, Sakalya Rajapakse, Munehiro Tanaka

Research outputs 2022 to 2026

This study evaluated the influence of rice hull biochar (RHB) and cedar bark media (CBM) as sustainable substrates for hydroponic strawberry cultivation. The total yield from virgin CBM was 413 g/plant and that from virgin RHB was 354 g/plant. Used CBM increased the yield by 4 % (429 g/plant) while used RHB increased yield by 18 % (419 g/plant) compared to the virgin, with no significant substrate differences. Fruit yields and physical properties were strongly correlated, particularly with particle density (R2 = 0.573). After 7 years of cultivation, plant residues had accumulated in both substrates. Uncarbonized carbohydrates in RHB indicated …

Harmonic Mitigation And Reactive Power Support Using Dpfc And Upfc In Grid‑Connected Solar Pv Systems: A Comparative Performance Evaluation, Abhishek Vashistha, Dharmbir Prasad, Rudra Pratap Singh

Mansoura Engineering Journal

Harmonic distortion, reactive power imbalance, and voltage instability represent major challenges regarding the power quality of grid-connected solar photovoltaic (PV) systems. Various recently developed flexible AC transmission system (FACTS) devices such as the unified power flow controller (UPFC) and distributed power flow controller (DPFC), however, have made them possible solutions but still do not provide a quantitative comparison in similar dynamic conditions. In this paper, comparative performance analysis of UPFC and DPFC in 3 MW grid connected solar PV system using Matlab Simulink is presented. The two controllers are affected by same disturbances, namely irradiance step change at t = …

Performance Enhancement Of A Fully Integrated Solar Still Using Flat Plate Collector, Reflector, And Evaporative Cooling System, Joe Patrick Gnanaraj Sundararaj, Vanthana Jeyasingh

Mansoura Engineering Journal

Water scarcity has become a major global concern due to increasing population growth, industrialization, and depletion of freshwater resources. Solar desalination is considered an eco-friendly and sustainable solution, especially for rural and off-grid regions where conventional water treatment facilities are limited. However, conventional solar stills suffer from low productivity, which restricts their practical application. In this study, a fully integrated solar still system was designed and fabricated by incorporating a flat plate collector, front-wall reflector, and passive evaporative cooling arrangement. The system was experimentally tested under natural climatic conditions over seven consecutive days to evaluate temperature variation, distillate yield, and …

A Hybrid Geoid Model For The Perlis Region, Malaysia Based On Cadastral Reference Marks And A Geometric Approach, Muhammad Aiman Haiqal Abdul Malek, Muhammad Faiz Pa’Suya, Ramazan Alpay Abbak, Ami Hassan Md Din, Noorfatekah Talib

Mansoura Engineering Journal

This study presents the development of a high-resolution local geoid model for the Perlis region, Malaysia, using a geometric approach that integrates GNSS-levelling benchmarks with Cadastral Reference Mark (CRM) data. A total of 38 GNSS-levelling benchmarks were used as reference points, while 3,725 CRMs were incorporated to significantly enhance spatial coverage for geoid modelling. Orthometric heights at the CRM points were first determined by transferring heights from the reference benchmarks using gravimetric geoid information. Subsequently, geometric geoid heights were computed from the differences between ellipsoidal and orthometric heights. Five interpolation techniques were evaluated to generate the geometric geoid surface, namely …

An Iterative & Analytical Hybrid Deep Learning Framework For Enhanced Brain Tumor Detection And Segmentation In Mri Video Scans, Swati V. Sakhare

Mansoura Engineering Journal

The critical need for accurate and robust brain tumor detection in MRI video scans is for early diagnosis and treatment planning operations. However, the existing methods suffer from several limitations, such as not being able to capture spatio-temporal features, handling class imbalances, and generalizing across datasets with diverse characteristics. To address these challenges, I propose a hybrid deep learning framework that integrates multiple advanced techniques to enhance the detection and segmentation of brain tumors. My approach starts by using the 3D CNN-LSTM (ResNet3D-LSTM) to extract spatio-temporal feature, which utilizes ResNet3D for spatial detail extraction and LSTM for temporal coherence across …

Comparative Finite Element Method-Based Optimisation Of Coir Fibre Laminates: Aluminium Skins Versus Carbon Cloth Skins, Muhamed Swaleh Ahmed, Bernard Wamuti Ikua, Abel Nyakundi Mayaka

Mansoura Engineering Journal

Natural fibre composites offer a sustainable alternative to conventional composite materials. Their mechanical efficiency is influenced by laminate structure and skin material selection. This study presents a comparative finite element analysis and optimisation of coir fibre-reinforced laminates employing either aluminium skins or carbon cloth skins. COMSOL Multiphysics was used to determine their mechanical response. Optimisation was performed using the BOBYQA algorithm to enhance load sharing between the coir core and skin materials. Results indicated that aluminium-skinned laminates achieve superior compressive and flexural performance, achieving a peak compressive strength of 210 MPa and sustaining a flexural load of 0.65 kN at …

A Machine Learning–Based Framework For Traffic Classification And Threshold-Based Load Management In 5g Network Slicing, Safi Ibrahim, Younis S. Younis, Kamal S. Hamza, Mohamed M. Ashour

Mansoura Engineering Journal

This study proposes a machine learning–based framework that applies machine learning techniques to improve the efficiency of 5G network slicing through automated traffic classification and threshold-based load management . The proposed model optimizes resource allocation among the three standardized 5G slice types: enhanced Mobile Broadband (eMBB), ultra-Reliable Low-Latency Communication (URLLC), and massive Machine-Type Communication (mMTC). Two supervised learning algorithms—K-Nearest Neighbors (KNN) and Support Vector Machine (SVM)—are trained using Quality of Service (QoS) parameters such as packet delay, loss rate, and Quality Class Identifier (QCI). Experimental evaluations were conducted on two large-scale datasets containing over 400,000 traffic instances, demonstrating that the …

Optimizing The Lightweight Steel Fibre Reinforced Bacterial Concrete With Nano-Silica And Coconut Shell Aggregates Using Taguchi Method, Damodaran Pooja, Mayilsamy Yuvaperiyasamy

Mansoura Engineering Journal

Concrete is essential for construction due to its high strength and durability. It supports most modern infrastructure globally. Cement production is a major source of CO₂ emissions, posing serious environmental concerns. Additionally, the rising demand for concrete is straining the limited supply of essential raw materials, such as aggregates. Researchers are examining alternative materials to improve Sustainability while maintaining structural strength to address these issues. This research aims to improve concrete performance by enhancing cement durability with nano-silica. Coconut shell, an agricultural by-product, functions as an eco-friendly alternative to conventional coarse aggregates, alleviating their scarcity. Microbiologically induced calcium carbonate precipitation …

Multi-Method Energy Optimization: Linear Programming, Hmm Modeling And Arduino-Based Simulations, A.E. El-Alfy, Eman Elayat, M. A. E. Sheta

Mansoura Engineering Journal

This paper presents the simulation and optimization of hybrid energy systems integrating renewable energy and storage technologies. Linear Programming (LP) is utilized to minimize operational costs, while a Hidden Markov Model (HMM) improves reliability by accurately predicting energy flow. Hardware-in-the-loop simulation in Proteus demonstrates efficient energy trading, significantly reducing dependence on conventional sources. The results from a 24-hour analysis show that the system achieves an 87.14% load factor, indicating high efficiency in utilizing the system's rated capacity, 26.23 system reliability, and a 20% improvement in cost efficiency and enhanced sustainability, providing a robust and practical framework for hybrid energy solutions …

Trident-Bladder: A Resolution-Aware Multimodal System For Robust, Calibrated Bladder Cancer Diagnosis Across Endoscopy, Histopathology, And Liquid Biopsy, K. Sankar, S. Venkata Lakshmi, Gummadi Reshma, V. Gokula Krishnan, M. Ganesan, V. Vijayaraja

Mansoura Engineering Journal

Bladder cancer diagnosis demands the integration of cystoscopy, histopathology, and biomarker testing, yet the majority of AI systems continue to be modality, specific and sensitive to acquisition variations. TRIDENT, Bladder is a resolution, aware multimodal framework that we have developed to address this issue. The method combines cystoscopic lesion segmentation, whole, slide image (WSI) molecular subtype prediction, and urine miRNAclinical data through reliability, weighted fusion and a utility, aware decision policy. The endoscopic branch features a quality, gated super, resolution component, resulting in mDice 87.5, sensitivity 92.1%, precision 91.4%, boundary, F1 85.3%, and ECE 0.023 at 32 FPS. mDice on …

Green Hydrogen-Based Decarbonization Approach For Steel Industry With Hybrid Renewable Energy Sources, Raju Kumar Maurya, Dharmbir Prasad, Rudra Pratap Singh

Mansoura Engineering Journal

This work provides a micro-pilot techno-economic and environmental assessment of a green hydrogen-driven decarbonization scenario for low-carbon steel production at the capacity of 1 ton steel produced (i.e., requiring 50 kg of green hydrogen). In this work an integrated renewable energy (RE) scenario for the steel production site at Jamuria, West Bengal, India is planned to utilize solar photovoltaic (PV), wind turbines (WTs), battery storage and a diesel backup generator to meet the hydrogen production load from an electrolyzer using HOMER Pro software. The results show that the proposed micro-pilot system produces excess electricity with respect to the plant's operating …

Finite Element Analysis Of Oxygen Transport In Tissue And Capillaries With A Second Order Metabolic Consumption, Vikash Ramcharitar, Sreedhara Rao Gunakala, Reddappa Bandi, Donna M. G. Dyer, Jagdesh Ramnanan

Mansoura Engineering Journal

This study presents a numerical investigation into the oxygen transport through a Krogh-type capillary-tissue model with second-order tissue metabolism. The governing non-linear equations are solved by implementing a Galerkin finite element method with a fixed-point iteration scheme. The resulting code and solution algorithm were successfully validated against available analytical solutions for zeroth- and first-order kinetics, showing very good agreement. Numerical simulations indicated, that under the parameters investigated, relative to zeroth- and first-order kinetics, a second-order metabolism leads to less overall oxygen consumption within the tissue phase. This yields higher oxygen partial pressures at the outer tissue boundary and higher oxygen …