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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 …

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 …

Transforming Fall Prevention Using A Systems-Wide Approach, Jessica Pierce

Walden Dissertations and Doctoral Studies

This Doctor of Nursing Practice (DNP) project proposal targets fall reduction and injury prevention in a Veteran Affairs Medical Center (VAMC). The initiative implements a non-restrictive, evidence-based fall prevention program that excludes side rails and bed alarms, emphasizing systematic patient safety and personalized care. Falls are a major safety concern at the VAMC due to ineffective traditional methods, inconsistent assessments, and reliance on restraints, contributing to high fall rates and increased healthcare costs. The project successfully achieved consensus from an interprofessional team on developing a comprehensive fall reduction program. Evidence indicates that removing restrictive devices enhances staff engagement and protocol …

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 …

Crime Prevention Professionals’ Perspectives On Using Cpted To Mitigate Targeted Violence On K-12 School Campuses, Bridgit C. Didier

Walden Dissertations and Doctoral Studies

Targeted violence in K-12 schools across the United States is a serious concern. These incidents not only endanger students and staff, but also cause lasting trauma and erode trust in schools. While existing measures may deter some violence, questions remain regarding their overall effectiveness. This study involved exploring perspectives of crime prevention experts on using Crime Prevention Through Environmental Design (CPTED) strategies to mitigate violence in K-12 schools. Although CPTED is recognized as effective in terms of reducing crime, research on its use in schools, especially from the perspective of crime prevention professionals, is limited. This generic qualitative study involved …

Newhouse Impact Magazine 2025, Newhouse School

Newhouse Impact Magazine

Showcasing the research and creative work of faculty, staff and students at the Newhouse School

Welcome To Hotel Thai: Labor, Love, And The Space Between My Mothers, Tripty Tamang Pakhrin

Theses - ALL

This thesis explores maternal labor, silence, and family boundaries through my experience of growing up at Hotel Thai, a restaurant and home located on the open border between Nepal and India. The hotel is run by my three parents: my mother, my father, and his first wife. My two mothers live and work side by side every day but do not speak to each other. Their silence is not emptiness, but a way of surviving and holding the family together. This paper discusses my film, performance, installation, and printmaking works to explore how care, memory, and labor are expressed without …

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 …

Relativistic Gas Accretion Onto Supermassive Black Hole Binaries From Inspiral Through Merger, Lorenzo Ennoggi

Theses

Accreting supermassive black hole binaries are powerful multimessenger sources emitting both gravitational and electromagnetic (EM) radiation. Understanding the accretion dynamics of these systems and predicting their distinctive EM signals is crucial to informing and guiding upcoming efforts aimed at detecting gravitational waves produced by these binaries. To this end, accurate numerical modeling is required to describe both the spacetime and the magnetized gas around the black holes. In this work, we present two key advances in this field of research. First, we have developed a novel 3D general relativistic magnetohydrodynamics (GRMHD) framework that combines multiple numerical codes to simulate the …

Perceptions Of Pain And Benzodiazepine Use Interrelations: A Qualitative Study, Emma Carnes Lape

Dissertations - ALL

Growing concern and research attention have focused on potential harms associated with widespread use of benzodiazepine (BZD) medications. Individuals with chronic pain bear a disproportionate burden, characterized by higher rates of BZD prescriptions, longer-term use, and increased dependence compared to the general population. Although theory and emerging evidence suggest that pain may play a role in the maintenance of BZD use, there is no extant data describing how individuals perceive interrelations between their pain and BZD use. The aims of the present study were to conduct a thematic analysis of interview data regarding perceptions of interrelationships between pain and BZD …

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, …

Subclinical Cardiometabolic Disease Risk In Adults With Autonomic Nervous System Dysfunction, Alaina Glasgow

Dissertations - ALL

Autonomic dysfunction (AD) is a precursor for cardiometabolic disease development; however, identifying AD and its associated risks presents significant challenges due to multi-system dysregulation and diverse symptom presentation. We examined subclinical cardiometabolic disease risk in AD and the utility of simple autonomic symptom assessments to identify subclinical disease risk. Study 1 thematically explored potential associations linking Postural Orthostatic Tachycardia Syndrome (POTS) to cardiometabolic disease risk. Neuropathic and hyperadrenergic POTS phenotypes may be related to metabolic dysregulation through autonomic neuropathy, sympathetic activity, inflammation, insulin resistance, and elevated vasoactive gut hormones. Study 2 investigated subclinical cardiovascular disease risk in POTS and whether …

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 …

Essays On The Health And Labor Market Effects Of Menopause And Menopause Hormone Therapy, Lucia Elvira Torres Frasele

Dissertations - ALL

This dissertation explores how menopause and its medical management affect women’s health and labor market outcomes. Despite the centrality of reproductive transitions in the life course of women, economic research has largely ignored menopause, a biologically and socially significant milestone marking the end of fertility. This omission is surprising, given well-established medical evidence that links menopause to increased risks of health conditions that may impair the ability to work. The dissertation addresses this gap through two chapters that examine the causal impact of menopause and Menopause Hormone Therapy (MHT) on health and labor supply using two distinct empirical strategies. The …

Co-Catalyst Modified Mn-Doped Semiconductor Hybrid Nanostructures For Enhanced Photocatalysis, Walker John Macswain

Dissertations - ALL

Semiconductor nanocrystals (NCs) are sought after for their applications in photocatalysis and photovoltaics and due to their impressive optical and electronic properties. In photocatalysis, an important green energy transformation is sunlight utilization to produce hydrogen gas via photocatalytic water splitting. However, the photocatalytic performance of pristine semiconductors is low due to their inherent fast charge recombination. The use of co-catalysts with semiconductor NCs leads to enhanced photocatalytic product generation; noble metal co-catalysts, such as Pt, Au, Ag, and Cu and noble-metal-free metal hydroxide co-catalysts on either chalcogenide CdS or perovskite CsPbX3 (X = Cl, Br) semiconductors were synthesized to study …

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’ …

Race, Space, Taste In The Postwar U.S.: Three Independent Studies On Urban Restaurants In Syracuse, New York, Huseyin Zeyd Koytak

Dissertations - ALL

This dissertation examines how racial inequality shapes the survival, visibility, and strategic adaptation of restaurants in postwar Syracuse, New York. It investigates how commercial food spaces reflect, reinforce, and negotiate racialized patterns of urban development, consumer taste, and economic opportunity. Drawing on longitudinal business and demographic data, a computational content analysis of online restaurant reviews, and original interviews with immigrant restaurateurs, the study integrates quantitative, computational, and qualitative methods to illuminate how race and space co-produce outcomes in the urban food economy. The first empirical chapter shows that Black-majority neighborhoods face higher commercial volatility and shorter restaurant survival, while white-majority …

Leveraging Artificial Intelligence (Ai) For Competency-Based Course Design: A Quality Improvement Project In Nursing Education, Lesslie Bull

Doctor of Nursing Practice Projects

This quality improvement project addressed inefficient, manual course design processes contributing to faculty workload and declining National Council Licensure Examination (NCLEX) pass rates at a rural Texas university’s baccalaureate nursing program. Guided by the Roy Adaptation Model and the Plan-Do-Study-Act framework, the project evaluated the effect of integrating artificial intelligence (AI) tools on faculty perceptions of technology adoption, specifically perceived usefulness (PU), perceived ease of use (PEOU), and behavioral intention (BI). Using a quasi-experimental pre-/post-intervention design, twelve faculty members completed a one-hour, evidence-based training using the Generative AI for Instructional Development and Education (GAIDE) framework, and eight faculty participated in …

An Examination Of Student Adherence And Intervention Complexity Within A Class-Wide Cover-Copy-Compare Intervention, Kaytlin Ann Nelson

Dissertations - ALL

Cover-Copy-Compare is a self-management intervention strategy developed to improve students’ academic performance, particularly in spelling. In academic intervention research, it is often assumed that students are completing the intervention as intended, yet this is seldom examined during intervention implementation or subsequent data analysis. The purpose of the present study was to extend the empirical literature on students’ intervention adherence by examining Cover-Copy-Compare permanent products to assess whether the complexity of the intervention (i.e., targeting six versus nine spelling words) contributed to a student’s ability to adhere to core intervention components. For the purposes of the present study, data from one …

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 …

Lattice And Continuum Anomalies : Bridging The Gap, Arnab Pradhan

Dissertations - ALL

In this thesis, we explore anomalies both in the continuum and on the lattice, and attempt to establish a connection between the two frameworks. In the continuum limit, we work with Kähler-Dirac fields, while in the discrete setting, we focus on staggered fermions. To facilitate insights relevant to the growing field of quantum computing, we consider a Hamiltonian formalism in addition to the path integral. Anomalies offer a concrete bridge between ultraviolet (UV) and infrared (IR) physics, understanding how anomalies manifest on the lattice versus in the continuum provides a powerful predictive framework. By numerically studying lattice gauge theories, we …

The Antelope, University Of Nebraska At Kearney

The Antelope

The Back to Campus edition of The Antelope - Fall 2025.

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, …

Barriers And Enablers Of Early Health-Seeking Behaviour Among Women With Preeclampsia And Eclampsia: A Qualitative Study At A National Referral Hospital In Uganda, Shirley Moore, Martha Sajatovic

Faculty Scholarship

Background: Globally, 2–8% of women experience hypertensive disorders in pregnancy (HDPs), including preeclampsia and eclampsia, which are the second leading cause of maternal mortality and morbidity. According to the management protocol for preeclampsia in Uganda, weekly follow-up is recommended for women with preeclampsia without severe features who are below 37weeks of gestation; however, this has not been feasible to most cases of preeclampsia/eclampsia (PE/E). There is still limited information describing barriers and enablers of early health-seeking behaviour amongst women with PE/E, yet this is needed to improve their healthcare. This study explored the barriers and enablers of early health-seeking behaviour …

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). …