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Southern Adventist University Commencement Program Summer 2025, Southern Adventist University

Commencement Programs

Program for Southern Adventist University Summer 2025 graduation. The commencement service took place on August 22, 2025 at 10 am in Iles Physical Education Center.

Targeting Wnt-Driven Metabolic Adaptations In Cancer: Integrating Glycolysis, Glutaminolysis, Ido1-Mediated Immune Evasion, And Therapeutic Delivery Strategies, Eric Flores-Hernández, Grace Binder, Kuo-Ching Mei, Nydia Tejeda-Muñoz

Pharmacy Faculty Scholarship

The Wnt pathway is an evolutionarily conserved signaling cascade that regulates a wide range of fundamental cellular processes, including proliferation, differentiation, polarity, migration, metabolism, and survival. Due to its central regulatory roles, Wnt signaling is critically involved in the pathophysiology of numerous human diseases. Aberrant activation or insufficient inhibition of this pathway has been causally linked to cancer, degenerative disorders, metabolic syndromes, and developmental abnormalities. Wnt signaling drives cancer progression by reprogramming metabolism and promoting immune evasion. Wnt-driven tumors exhibit enhanced aerobic glycolysis (the Warburg effect), glutaminolysis, and macropinocytosis, which support rapid proliferation and help maintain redox homeostasis under nutrient-limited …

Innovative Approaches To Estimating Sessile Oak Stem Volume: Comparing Additive Models And Ensemble Machine Learning, Maria J. Diamantopoulou, Abbas Şahi̇n, Ramazan Özçeli̇k

Turkish Journal of Agriculture and Forestry

Sessile oak is an important deciduous forest tree species across Türkiye and Europe. Estimating individual tree and stand volumes is essential for growth and yield models, as these predictions play a critical role in assessing forest management, economics, and fire risk. In pursuit of this goal, nonlinear seemingly unrelated regression (NSUR) was used for the simultaneous fitting of stem volume components, and compared to three ensemble machine learning techniques: gradient boosting regression (GBr), XGBoost regression (XGBr), and random forest regression (RFr). NSUR accounts for correlations between error terms across different equations, leading to more efficient parameter estimates than if each …

Multiaxial Expansion Of 4d-Printed Shape Memory Polymer Scaffolds Via Programming Via Printing (Pvp), Verona Hendricks

Theses - ALL

Shape memory polymers (SMPs) offer unique opportunities for engineering responsive medical devices that can adapt to changing anatomical environments. However, most SMP-based systems are limited to uniaxial deformation which restricts their ability to conform to complex geometries found in soft tissue applications. Moreover, 3D approaches to print and program SMPs have demonstrated printed parts that can contract, but printed parts that can expand after printing has not been demonstrated to date. This work presents the design, fabrication, and evaluation of a 4D-printed SMP scaffold capable of controlled expansion along all three orthogonal axes (x, y, and z). Utilizing a method …

Supervised Dimensionality Reduction Techniques For Undersampled Applications, Joshua Kortje

Theses - ALL

Supervised dimensionality reduction (SDR) is a critical field in machine learning. The ability to compress data with high dimensionality can lead to better data visualization, pattern recognition, and classification performance. In order to develop SDR algorithms with the widest possible applicability, it is imperative to formulate approaches based on simple, generalizable models. The general Gaussian assumption provides a model that allows for closed-form expressions of information-theoretical criteria which can lead to analytical SDR solutions. Since Gaussian populations are completely defined by their first and second moments, solutions for this model can also lead to simple projection schemes with interpretable results …

Effects Of Storage Temperatures On Quality And Phytochemical Properties Of The Hawthorn (Crataegus Azarolus L.) During Storage And Shelf Life, Ahmet Erhan Özdemi̇r, Oğuzhan Çalişkan, Safder Bayazit, Kazi̇m Gündüz, Nurdan Tuna Güneş, Zafer Karaşahi̇n, Derya Kiliç, Ramazan Bestami̇ Karahan

Turkish Journal of Agriculture and Forestry

This study aimed to investigate the effects of storage temperature on the quality and phytochemical characteristics in Sultan hawthorn cultivar during cold storage and shelf life. Fruits were stored at 0 ± 0.5 °C and 4 ± 0.5 °C and 90 ± 5% relative humidity (RH) for 6 months in cold storage and were analyzed every month. In addition, hawthorn fruits were kept at 20 ± 0.5 °C and 75 ± 5% RH for 7 days, and their shelf life was investigated at monthly intervals. Weight loss, appearance, the incidence of physiological disorders and fungal decay, fruit skin color, firmness, …

Monitoring The Developmental Stages Of Calendula Officinalis L. Nutrients Efficacy Under Hot Weather Mitigation Through Nutrients In Haripur, Pakistan, Waseem Ahmed, Rafia Azmat, Shah Masaud Khan, Abdul Qayyum, Waseem Hassan, Adnan Noor Shah, Muhammad Hadi Abbas, Fatima M. Abbas, Tahani A.Y. Asseri, Ahmet Hakan Ürüşan

Turkish Journal of Agriculture and Forestry

This study examines the effect of different doses of N and P fertilizer on Calendula officinalis L. (marigold) during the hot weather in summer (May–July) in Pakistan. The aim was to determine whether fertilization can help minimize the impacts of climate change. During the summer peak seasons (May, June, and July), the trial was conducted in potted plants with different N and P application levels to monitor the quality and quantity of C. officinalis. The results showed that the interactive effects (N × P) gave higher values for plant height, number of leaves, fresh weight, leaf length, and number of …

Cover And Contents

Turkish Journal of Agriculture and Forestry

No abstract provided.

Design And Structural Optimization Of Acceleration Pipe For Mhd Accelerated Jujube Air-Suction Harvester, Yi Wang, Jing Nie, Jingbin Li, Longpeng Ding, Xuewei Chao, Xianfei Wang

Turkish Journal of Agriculture and Forestry

The combination of magnetohydrodynamic (MHD) acceleration technology and the negative pressure suction principle ensures the effective lifting and transport of jujube fruits, addressing the challenges of traditional harvesting methods and providing a new solution for improving jujube harvesting efficiency. This study focuses on the impact of key parameters, including pipe diameter, electrode plate length, and electrode positioning, on the performance of the MHD acceleration pipe through numerical simulations. The structural optimization of the MHD acceleration pipe in the air-suction jujube harvester aims to enhance airflow acceleration efficiency. The results from both numerical simulations and experimental studies indicate that: 1) a …

Exploring The Genetic Diversity And Population Structure Of Serbian And Selected European Bread Wheat Cultivars Through Ipbs-Retrotransposon Markers, Rada Šućur, Amjad Ali, Parnaz Mortazavi, Muhammad Tanveer Altaf, Muhammed Tatar, Muhammad Azhar Nadeem, Bojan Jocković, Velimir Mladenov, Sotirios Fragkostefanakis, Yong Suk Chung, Faheem Shehzad Baloch

Turkish Journal of Agriculture and Forestry

Bread wheat is a globally vital crop, sustaining millions and contributing to food security. The present study investigated the molecular characterization of 60 bread wheat accessions, using 12 interprimer binding site (iPBS) retrotransposon markers, which yielded a total of 260 distinct bands. Out of the 260 bands, 42 were monomorphic while the remaining 218 (83.84%) were polymorphic, with polymorphism information content values ranging from 0.38 to 0.45. Genetic diversity indices, including Shannon’s information index (I = 0.01–0.53), effective number of alleles (Ne = 1.00–1.63), gene diversity (He = 0.0037–0.36), and marker index (MI = 0.31– 0.51), revealed moderate variability across …

20250822: Office Of Assessment, Program Reviews, 1983-2024, Academic Affairs

Guides to University Archives

These items include materials from the office of Academic Affairs at Marshall University from 1983-2004. Items were received in 2025 and include program reviews for undergraduate, graduate, and MU SOM programs. Of these programs include the MS in Communication Disorders; PhD in Biomedical Sciences; BA in Communication Studies; BS in Biomedical Engineering; BS in Civil Engineering; Doctor of Nursing Practice; MS in Dietetics; MS in Biomedical Sciences; BS in Dietetics; BS in Engineering; MS in Engineering; Associate of Science in Nursing; BS in Nursing; MS in Nursing; BS in Respiratory Care; Bachelor of Social Work; Associate of Applied Science in …

Satellite-Based Identification Of Mesoscale And Submesoscale Eddies And Fronts In The Gulf Of Mexico, Ethan Cruz

Theses and Dissertations

Mesoscale and submesoscale processes in the Gulf of Mexico (GoM) are fundamental in shaping the region’s physical and biogeochemical ocean dynamics. Advances in high-resolution satellite observations now allow detailed detection of submesoscale (< 25 km radius) and mesoscale eddies and ocean fronts, which drive heat, nutrient, and carbon fluxes. This dissertation integrates two complementary investigations: (1) a comparison of eddy-tracking algorithms: Contour Tracing (CT) and Temperature Thresholding (TT), applied to Optimum Interpolation Sea Surface Temperature (OISST, 1/4°) and Operational Sea Surface Temperature and Ice Analysis (OSTIA, 1/20°) products; and (2) a comparative evaluation of three ocean front detection algorithms: Canny Edge Detection (Canny), the Cayula–Cornillon Algorithm (CCA), and the Belkin–O’Reilly Algorithm (BOA), across multiple satellite-derived parameters, including sea surface temperature (SST), sea surface salinity (SSS), chlorophyll-a (Chl-a), and altimetry-derived absolute dynamic topography (ADT). The eddy-tracking analysis shows that the higher-resolution OSTIA consistently detected more eddies than OISST, with TT performing best during winter when SST gradients were strongest. The front detection analysis, incorporating datasets from the Surface Water and Ocean Topography (SWOT) and Plankton, Aerosol, Cloud, Ocean Ecosystem (PACE) missions, was evaluated under diverse conditions, including flood and drought periods, Loop Current phase changes, and extreme weather events. A machine learning–based Gaussian Mixture Modeling (GMM) approach was also developed, providing a novel framework for dynamic front detection. By benchmarking traditional and machine learning methods, this integrated study identifies optimal algorithm–dataset combinations for resolving submesoscale and mesoscale features in the GoM, with applicability to other regions.

Government Policies Influencing The Retainment Of Civil Engineers In Guyana's Public Sector, Gracelyn George

Walden Dissertations and Doctoral Studies

The low retention of civil engineers in Guyana’s public sector has impeded the execution of needed infrastructure projects in the country. The literature reviewed highlighted that there continued to be questions regarding why people leave engineering jobs. Moreover, there was a limited understanding of what societal attributes influenced the problem, while there continued to be a growing demand for civil engineers. The literature specific to government policies influencing the retention of civil engineers in the public sector was lacking, presenting an opportunity to expand the application of the policy feedback theory, which provided a lens for examining retention measures in …

Are You Watching People Via Social Media?, Linlin Wang

Theses - ALL

This study examines why Chinese Generation Z surveil non-intimate acquaintances on social media. Drawing on surveillance theory, social comparison orientation, fear of missing out (FoMO), communication privacy management, and platform affordances, this study proposes a "social comparison orientation → FoMO → surveillance" model. The study employed a sequential mixed methodology. In the first phase, 129 respondents aged 18 to 28 completed a survey validating these pathways. In the second phase, 21 high-monitoring participants were interviewed. The results indicate that social comparison, influenced by the unique "social clock" in Chinese society and the information exposure of online spaces like panopticon, can …

Protecting Networks Against Entry-Point Attacks, Shivani Mishra

Theses - ALL

In many network applications, it is critical to protect sensitive nodes from discovery by malicious crawlers. This thesis addresses the network protection problem from the data protector’s perspective, focusing on strategically deleting edges to hide target nodes from entry-point attacks. Earlier work on this problem proposed node-level scores to identify key edges for deletion. We propose two novel edge-level scoring functions to identify critical edges for removal: the Shortest Path Change Score (SPCS), which quantifies the damage an edge’s removal causes to shortest paths, and the PageRank Edge Flow Score (PEFS), which estimates an edge’s usage in random walks from …

Cannabis Chemist, Mushroom Explorer And Mentor Leaves Ole Miss Smiling, Marisa C. Atkinson

University of Mississippi News

OXFORD, Miss. – After more than 30 years of teaching and research at the University of Mississippi, and more than five decades overall, pharmacy professor Samir Ross is hanging up his lab coat and retiring.

Calcium-Ion Transport In Gel And Solid Polymer Electrolytes: From Solvent-Solute Interactions To Molecular Simulations For Next-Generation Calcium Batteries, Xinlu Wang

Dissertations - ALL

Multivalent metal-ion batteries, especially calcium (Ca²⁺) and magnesium (Mg²⁺) systems, are attractive alternatives to lithium-ion technologies owing to their high theoretical energy density, improved safety profiles, and abundant natural resources. Nevertheless, the successful commercialization of these technologies is impeded by challenges in electrolyte development, particularly related to cation solvation, ion transport efficiency, and interfacial stability. This dissertation addresses these challenges through comprehensive experimental investigations and molecular dynamics simulations of polymer-based electrolytes designed explicitly for multivalent cation conduction. In the first study, polymer gel electrolytes comprising poly(ethylene glycol) diacrylate (PEGDA) and low dielectric solvents—1,3-dioxolane (DOL) and dimethoxyethane (DME)—with calcium bis(trifluoromethanesulfonyl)imide (Ca(TFSI)₂) …

Bridging Gaps In Stem: An Evaluation Of A Stem Intervention Program And Its Impact On Degree Attainment And Career Pathways For Low-Income Undergraduate Students, Amanda L. Surman

Dissertations - ALL

Persistent disparities in Science, Technology, Engineering, and Mathematics (STEM) degree completion and career attainment continue to disadvantage students from low-income, firstgeneration, and underrepresented racial and ethnic backgrounds, despite sustained national efforts to diversify the STEM workforce. STEM Intervention Programs (SIPs) have emerged as promising strategies to address these inequities, yet limitations in SIP evaluation literature including the lack of comparison groups, limited longitudinal data, and minimal attention to psychosocial outcomes impede our understanding of their long-term impact. This dissertation uses a mixed-methods, three-project design to evaluate the Strategic Undergraduate STEM Talent Acceleration INitiative (SUSTAIN), a comprehensive SIP at a private, …

Mobility At The Margins: Insights Into Gender, Class And Climate Change In Islamabad's Transit Spaces, Shanel Khaliq

Dissertations - ALL

This dissertation sets out to explore how the urban built environment- particularly public transport infrastructure- shapes class, gender and climate inequality in Islamabad, Pakistan. I tried to understand this issue by using mixed methods, primarily consisting of semi-structured in depth interviews, supplemented by ethnographic fieldwork and a brief consultation of english-language newspaper archives. I conducted 95 interviews in total, and clocked in around 80 hours moving around the city and engaging in a mobile ethnography. The first empirical question that I asked relates to the state and urban transportation planning. I wanted to understand what assumptions regarding class-based, gender-based and …

Security And Privacy In Deep Learning And Dynamic Decision Making, Feng Wang

Dissertations - ALL

Recent years have seen rapid advances in machine learning applications, such as deep reinforcement learning (DRL) for optimizing wireless resource allocation and federated learning (FL) for enabling privacy-preserving, distributed model training. In these systems, machine learning agents learn and control resources at the edge. However, these systems face significant vulnerabilities to adversarial threats. In a DRL-based mobile communication scenario, an intelligent attacker can selectively jam specific channels and cause critical failure in victim users' performance. In an FL system, a privacy adversary who eavesdrops on shared gradient information can reconstruct the users' private data. This dissertation focuses on both types …

Resolvent-Based And Data-Driven Analysis Of A Supersonic Rectangular Multistream Jet, Miteshkumar Thakor

Dissertations - ALL

Coherent structures play a key role in uncovering and predicting the underlying physics of complex turbulent flows. This dissertation employs data-driven and operator-based techniques to investigate spatiotemporal correlated structures of a complex supersonic multi-stream rectangular jet. The nozzle configuration comprises three primary shear layers: (i) an upper shear layer (USL) formed by the flow on the upper single-sided expansion ramp stream and the freestream, (ii) a splitter plate shear layer (SPSL) generated by the mixing of a core Mach 1.23 stream with a bypass Mach 1 stream at the splitter plate trailing edge (SPTE) and (iii) a lower shear layer …

Theorizing Technology Integration: The Case Of Smart Grid Technologies At Electrical Utilities In The United States, Ehsan Sabaghian

Dissertations - ALL

Over the past decade, the energy culture as a whole and electric industry specifically has been going through wide-scale disruptive and consequential transformation. The pressure for these changes comes from different fronts: Decarbonization (switching to renewable sources and implementing carbon reduction policies); Digitalization (adoption and investment on smart digital technologies, infrastructure, and networks), Decentralization (distributed nature of behind-the-meter resources), and Demand (growing demand from customers for high quality, affordable electricity). In response to these pressures, electric distribution utilities were continuously adopting smart grid technologies (most notably Advanced Meter Infrastructure (AMI) and enterprise-wide applications) to create new organizational capabilities. Now, utilities’ …

Characterization Of The Molecular Mechanisms Of Noise Stress On Developmental Plasticity In Gryllus Bimaculatus & Co-Teaching And Peer-Led Team Learning In Undergraduate Introductory Biology Courses Toward Expanding Participation In Stem For All, Takunda Maisva

Dissertations - ALL

As part of my training as a Discipline Based Education Researcher (DBER), I gained human subjects educational research experience as well as traditional biology research experience in the laboratory setting. This dissertation explores both my biology education research and traditional developmental biological research. The first and second projects focus on biology education research, examining how Peer-Led Team Learning (PLTL) and modifying introductory biology course instructional design can influence student outcomes in undergraduate Biology education. The third project examines how anthropogenic noise affects the developmental biology of the two-spotted field cricket Gryllus bimaculatus using a genetic approach. Peer-Led Team Learning (PLTL) …

A Model Of Blind Quantum Diffusion, John Carver Vining

Dissertations - ALL

We introduce the Blind Quantum Diffusion Network (BQDN), a quantum computational framework designed for distributed systems operating under conditions of partial observability and asynchronous communication. BQDN generalizes the structure of Generalized Boolean Networks (GBNs) by replacing classical multivalued logic nodes with quantum registers, enabling the use of superposition, entanglement, and unitary evolution to model distributed computation and state propagation. Building on the properties of W-states and quantum teleportation protocols, the BQDN leverages entangled coin registers and a token-based control mechanism to implement blind diffusion across a graph. The system achieves synchronization-free evolution without classical coordination by embedding decision-making within quantum …

Engineering Protein Linkers For Optimized Telsam-Darpin Fusion And Crystallization With Electric Field-Based Polymer Orientation, Maria Jose Pedroza Romo

Theses and Dissertations

Fusing a variant of the sterile alpha motif domain of the human translocation ETS leukemia protein (TELSAM) to a protein of interest significantly enhances crystallization and diffraction quality. TELSAM is a pH-dependent, polymer-forming crystallization chaperone that, when covalently fused to a protein, forms a well-ordered crystal lattice. However, the success of this method depends on two factors: 1) the design of the linker connecting TELSAM to the target protein, which influences both crystal packing and target orientation, and 2) the prevention of TELSAM polymer flipping, a phenomenon that disrupts lattice periodicity and impairs structure determination. To address the first challenge, …

Cost-Effectiveness Model For Reservoir Sediment Management Economics, Connor Ronald Hale

Theses and Dissertations

Reservoir sediment deposition poses a challenge to sustainable water supplies around the world. Sediment management has proven to be an expensive endeavor. Two models have been developed to guide economic analysis for reservoir sediment management, namely the Reservoir Sediment Economics Model (RSEM) and the Reservoir Conservation Model 2 (RESCON 2). While these are helpful tools for benefit-cost prefeasibility studies, they rely heavily on sometimes elusive estimations of the benefits of water supply. In this study, a new method for economic analysis is proposed that foregoes benefit-cost analysis in favor of a cost-effectiveness approach. The Sediment Management Cost-Effectiveness Model ranks sediment …

Designing A Data Collection And Visualization Toolkit For Scalable Tensor Algebra In Quantum Chemistry Applications, Epiya J. Ebiapia

LSU Master's Theses

Large-scale quantum chemistry computations, such as those executed with the Tensor Algebra for Many-body Methods (TAMM) framework, require careful configuration of runtime parameters to achieve high performance and cost efficiency in high-performance computing (HPC) and cloud environments. Without effective performance analysis tools, researchers risk inefficient use of computational resources, leading to longer runtimes and higher costs.

To address this challenge, this thesis presents the design and implementation of a performance profiling and visualization toolkit for TAMM, developed as part of the DOE TEC4 project in collaboration with Pacific Northwest National Laboratory, Microsoft, and Louisiana State University. The toolkit collects detailed …

Effects Of Polyethylene Films With Different Uv-A Transmittance On Quality Parameters And Physiology Of Greenhouse-Grown Tomato, Nefi̇se Yasemi̇n Tezcan, Mustafa Erkan, Ahmet Kurunç

Turkish Journal of Agriculture and Forestry

In this study, the effects of three different polyethylene (PE) greenhouse covering materials (CMs) with varying thicknesses and ultraviolet-A (UV-A) transmittance on greenhouse microclimate, plant growth, yield, fruit quality, and chlorophyll fluorescence parameters (Chl FPs) in tomatoes were investigated. The CMs used in the study were 180 μm thick ultraviolet (UV) + ethylene vinyl acetate (EVA) + long-wave infrared (IR) + light diffuser (LD) + antifog (AF) added PE (CM1), 160 μm thick PLUS UV + EVA + IR + LD + AF added PE (CM2), and 200 μm thick UV + EVA + IR + LD added PE (CM3). …

Wbd-Yolo-Am: Yolov8 With Attention Module And Iot-Based Wild Boar Detection And Deterrence System For Safeguarding Small Millets, Aditya Joshi, Neha Pandey, Manoj Diwakar, Prabhishek Singh, Achyut Shankar, Fayez Alqahtani

Turkish Journal of Agriculture and Forestry

Small millets are traditional and climate-resilient food crops that can grow in adverse weather conditions. Animal intrusion, specifically from wild boars, is a main threat to the production of small millets, which reduces interest in the cultivation of small millets and affects farmers’ incomes. To address the problem of wild boar attack on agriculture land, an improved YOLOv8 is proposed, with an attention module based on WBD-YOLO-AM and that works from the collection of data, its preprocessing, attention mechanism to improve the feature maps, training then building the model, after that the models hyperparameter are tuned to boost the performance …

Strategies To Mitigate Contractor Safety Noncompliance In The Construction Industry, Sallieann Wilson

Walden Dissertations and Doctoral Studies

Some contract managers lack clear communication channels with their contract stakeholders on construction safety noncompliance, which is a well-known industry challenge. Stakeholders, contractors, and workers of construction companies need to communicate more effectively with contract managers to ensure job-related injuries are minimized. Grounded in contingency theory, the purpose of this qualitative pragmatic inquiry research study was to explore the strategies contract managers use to mitigate contractor safety noncompliance with awarded contracts. Ten contract managers with more than 5 years of experience in contract or construction management participated in semistructured interviews guided by an interview protocol. Data were analyzed thematically, revealing …