Digital Commons Network^™

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 …

Detection Of Bacterial Genomic Dna Fragments Using The Mxene Crispr-Cas9 Field-Effect Transistor, Jiaoli Li, Ali Taheri, Weijia Liu, Ying Zhuo, Pengfei Ma, Chenglin Wu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Clustered regularly interspaced short palindromic repeats (CRISPR)-based field-effect transistor (FET) sensors provide a promising platform for highly specific and amplification-free nucleic acid detection. However, their direct application in identifying target sequences within intact genomic DNA remains underexplored. We developed a CRISPR-Cas9 FET sensor for detecting DNA sequences by immobilizing Cas9 onto a graphene-MXene sensing interface via (3-aminopropyl)triethoxysilane (APTES) functionalization. The sensor targeted Stx1, a 440 bp laboratory-amplified fragment associated with Shiga toxin production in pathogenic E. coli. Gel electrophoresis confirmed the precise cleavage of Stx1, while the nontarget sequence Stx2 remained undetected. FET measurements further validated the sensor's specificity, showing …

Prediction Of Drug-Induced Cardiotoxicity Using Machine Learning Analysis Of Hipsc-Cm Contractile Profiles, Anthony Allan Watt

Theses - ALL

Drug-induced cardiotoxicity remains a critical concern in pharmaceutical development as failed drug candidates result in lost time and resources that could be better spent on viable candidates. We believe that a robust in vitro model that accurately captures human cardiac physiology is an applicable model for examining drug candidates. In addition to those models, there is a need for quick and effective predictive models to analyze data obtained from the model to classify drugs based on their potential for cardiotoxicity. In this study, we conduct a functional analysis of human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) and pass the data collected …

A Hieratical Control Framework For Assessing Ev’S Impact On Residential Energy Flexibility, Yuewei Li

Dissertations - ALL

With the development of the power grid, the world's industries and economies have experienced a significant boost over the past centuries. However, as the demand for electricity from the grid continues to grow, utility markets face increasingly challenging tasks in balancing supply and demand. Additionally, integrating renewable energy sources such as solar, hydroelectric, and wind power into the grid adds further complexities to maintaining grid stability. In the United States, buildings account for about 76% of electricity consumption and 40% of greenhouse gas emissions, making them a major contributor to peak demand, which is nearly 80%. Therefore, buildings play a …

Oxidation Resistance And Osmotic Energy Harvesting Applications Of Reduced Graphene Oxide Forward Osmosis Membranes, Michael Appiah-Kubi

Theses and Dissertations

Reduced graphene oxide (RGO) forward osmosis (FO) membranes have emerged as promising candidates for efficient wastewater management and osmotic energy harvesting, due to their enhanced chemical stability and superior FO performance for low-energy waste brine treatments, such as volume reduction of oxidative chromium brine for cost-effective disposal. This dissertation first examines the oxidation resistance of RGO forward osmosis membranes against chromate Cr (VI). Our findings reveal that both the water flux and the reverse salt flux of RGO membranes are suppressed, accompanying an enhanced reverse flux selectivity after exposure to an acidic medium of Cr (VI) (pH 2.0-7.0). Meanwhile, the …

Assessment Of Bat Species (Mammalia: Chiroptera) In Canubas Cave, Kibawe, Bukidnon, Philippines, Jurriel Mari D. Alce, Jasmine Rouida M. Abenes, Leo Gabriel Cervantes, Matthew Eli K. Llacer, Von Zhyrus P. Oche, Ian Jay P. Saldo, Jhovel Roy D. Calo

Sinaya: A Philippine Journal for Senior High School Teachers and Students

Bats, flying mammals, are essential to ecosystems, playing vital roles in pollination, seed dispersal, and insect control. Despite their ecological importance, no prior bat research exists for Canubas Cave, Kibawe, Bukidnon. This study aimed to assess the bat species at the site, documenting their morphometric data, diversity and richness indices, and conservation statuses. A purposive sampling design was implemented by setting up mist nets inside and outside the cave. A total of 13 individuals were identified, comprising three species from two families: Rousettus amplexicaudatus and Eonycteris spelaea (family Pteropodidae, fruit bats), and Miniopterus schreibersii (family Miniopteridae, bent-winged bats). Based on …

Milkfish (Chanos Chanos) Bones As A Biosorbent For Mercury (Ii) Contamination In Water, Seth Uriel K. Neri, Ethan Kyle Mangao, Christian Kevin F. Redoblado, Anthony Cesar Y. Ponce, Roby Boy P. Riego, Jupiter O. Yap

Sinaya: A Philippine Journal for Senior High School Teachers and Students

Heavy metals, such as mercury contamination in water sources are a major environmental and public health issue in many countries. Traditional methods for removing heavy metals from water are effective but often costly and unsustainable and may produce secondary waste. Recent trends favor more sustainable alternatives, such as biosorbents in treating water with heavy metals. Milkfish (Chanos chanos), a common fish in the Philippines, contains hydroxyapatite in the bones that can bind with heavy metals through physical and chemical adsorption mechanisms. This study aims to evaluate the mercury (II) reduction capacity of biosorbent derived from milkfish bones in water, specifically …

Biophysical Effects Of Altered Myosin Binding Protein Stoichiometry In Atrial Myofilaments, Kelly N. Araujo

Dissertations

Cardiomyopathies, such as hypertrophic and dilated subtypes, are leading causes of heart failure and are often driven by genetic mutations that disrupt the structure and function of the cardiac sarcomere. While much of the research has focused on ventricular involvement, the role of atrial sarcomere dysfunction remains unexplored. The regulation of contractile function by sarcomeric proteins in the atria remains poorly understood, especially the impact of protein stoichiometry among myosin binding proteins. Cardiac myosin binding protein-C (cMyBP-C) and its atrial paralog, myosin binding protein H-like (MyBP-HL), have been shown to have a stoichiometric relationship within the atrial sarcomere. These two …

Quantify The Impact Of Occupant Behavior On Building Retrofits To Achieve Net-Zero Target Under Future Climates, Pratik Raj Pandey

Dissertations - ALL

It is estimated that about 40% of all the electricity generated in the United States is consumed by the building sector. This scale of energy use by buildings can be understood by the fact that the U.S. alone consumes approximately 20% of all the energy produced globally, despite having only about 4.23% of the world's population. Given the threats posed by climate change, it is necessary to curtail the energy demand of this sector. Additionally, global climate change has increased the frequency, intensity, and duration of extreme climate events like heat waves, cold waves, hurricanes, floods, and droughts. Given the …

Risks Of Data Science Project Failure: Articulation, Legitimization, And Power Struggles, Sucheta Lahiri

Dissertations - ALL

This research explores the risk of failure in cloud-based data science systems within third-party service contexts. Specifically, it examines how the risk of project failure is socially constructed over time as the technology is incrementally shaped and negotiated. The study is grounded in participant observation conducted with data science practitioners at a professional services organization in India that partners with one of the world’s leading cloud providers. The research foregrounds the business model of professional services firms as a distinct sociotechnical setting for developing cloud-based data science systems, one in which practitioners who are not directly engaged in technical implementation …

Time-Resolved Crystallographic Analysis Of The Mechanism Of Formation Of The Mof Hkust-1, Cody Webb Jr

Dissertations - ALL

Metal-organic frameworks (MOFs) are a class of inorganic porous coordination compounds of interest for technically relevant applications including gas storage & sequestration, catalysis, and drug delivery (Chapter 2). The last decade has seen significant development in this field of coordination chemistry, and an extensive array of MOFs have been reported despite the lack of a comprehensive scheme for how these materials form. The development of novel MOFs is not a trivial task, as the synthesis of target MOFs is notably unpredictable, and experiments require extensive trial-and-error reactions with systematic manipulation of the synthetic variables. Ideally, a toolbox method based on …

Technological Revolutions And Advertising: Historical Innovation Cycles, Ai, And The Future Of Platform Power, Christopher J. Lorusso

Dissertations - ALL

This study explores the future of advertising amidst a digital landscape increasingly shaped by artificial intelligence (AI). Leveraging Carlota Perez’s Technological Revolutions and Financial Capital framework, it examines how AI is poised to further disrupt the advertising ecosystem through the key elements of automation, user data, and inventory. Collectively, these dynamics have become key drivers of platform power, with implications for user behavior, competitive strategy, and the societal diffusion of AI technology more broadly. Employing a thematic analysis across historical and contemporary cases of advertising technology, the research identifies five themes worthy of strategic and scholarly consideration. Two primary themes—Dependency …

Dynamics And Lipid Membrane Coupling Of The Ras-Raf Complex Revealed Via Multiscale Simulations, Timothy S. Carpenter, Fikret Aydin, Chris Neale, Que N. Van, Xiaohua Zhang, Harsh Bhatia, Jason W. Sidabras, Peter H. Frank, Konstantia Georgouli, Jeremy O.B. Tempkin, Violeta Burns Casamayor, Gulcin Gulten, Rebika Shrestha, Debanjan Goswami, Francesco Di Natale, Joseph R. Chavez, Liam G. Stanton, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

To gain molecular and mechanistic insights into initiation of the RAS-RAF signaling cascade, we developed and used a combination of multiscale simulation and experimental approaches. The influence and impact of the membrane on RAS and RAF proteins is a factor we are just beginning to understand and appreciate in more detail. Molecular simulation is an ideal methodology to further study this complicated relationship between the membrane and associated proteins. Our previous work using Multiscale Machine-learned Modeling Infrastructure investigated different lipid compositions solely around the KRAS4b protein and the interplay between protein behavior and these membrane environments. Multiscale Machine-learned Modeling Infrastructure …

Targeting Fear Of Cancer Recurrence With Internet-Based Emotional Freedom Techniques (Ieft) And Mindfulness Meditation Intervention (Immi) (Bgog-Gyn1b/Remote), Laura Tack, Lore Mertens, Marte Vandeweyer, Fien Florin, Emma Pauwels, Thaïs Baert, Tom Boterberg, Christel Fontaine, Kurt Geldhof, Caroline Lamot, Christine Langenaeken, Jeroen Mebis, Laure-Anne Teuwen, Katherine Vandenborre, Heidi Van Den Bulck, Florence Van Ryckeghem, Mohammad Najlah, Patricia Schofield, Philip R. Debruyne

School of Nursing and Midwifery

Approximately one-third of cancer survivors report a need for professional help to cope with Fear of Cancer Recurrence (FCR). In the REMOTE trial, we aim to investigate the efficacy of two internet-based mind-body techniques to address this currently unmet medical need. Cancer survivors, screened using the Cancer Worry Scale (CWS), are randomly assigned to one of the three study groups: (1) internet-based emotional freedom techniques (iEFT) (n = 113), (2) an active control condition internet-based mindfulness meditation intervention (iMMI) (n = 113), or (3) a wait-list control group (WLC) (n = 113). The interventions iEFT and iMMI are conducted remotely …