Digital Commons Network^™

Does Climate Disclosure Work To Reduce Greenhouse Gas Emissions? Emerging Evidence Suggests Cautious Optimism., Cynthia A. Williams

Articles by Maurer Faculty

The purpose of this Article is to bring some of the emerging empirical literature evaluating the effects of required greenhouse gas (GHG) disclosure to bear on discussions of disclosure as a mechanism to address climate change. Since disclosure has become such a significant part of global efforts to address climate change, whether it has the effects in fact that are attributed to it in theory is properly subject to interrogation.   In this Article, several interrelated questions will be discussed. First, what does the empirical evidence show about the effects of required (GHG) disclosures on emissions? What mechanisms are engaged in …

Florence Normal College Quarterly, Faculty Of Florence Normal College

Documents

Faculty Quarterly Journal of Florence Normal College, May 1910.

Florence Normal College Quarterly, Faculty Of Florence Normal College

Documents

Faculty Quarterly Journal of Florence Normal College, October 1910.

Modeling Of Polar Cap Ionospheric Patches And Attendant Plasma Instabilities: Initialization From Data And Parametric Analysis, Mark Redden

Doctoral Dissertations and Master's Theses

There is a robust history of theoretical work on ionospheric plasma patches and their attendant plasma fluid irregularities, particularly within the polar cap region.  Within this region though, plasma theory does not always yield tractable problems with succinct analytic solutions that are conceptually illuminating. Observational research methods and techniques, using a multitude of ground-based and in-situ systems, provide insights into this complex environment not always readily achieved through theory alone.  Limitations in observational insights exist; however, due to two inherent shortcomings of such systems; sensor observational persistence (in-situ sounding rocket and satellite plasma sensors) and/or sensor spatial resolution (terrestrial systems …

Aerodynamic And Acoustic Modeling For Evtol Rotor Noise Prediction, Daniella Bezuidenhout, Anastasios S. Lyrintzis, Vladimir V. Golubev

Doctoral Dissertations and Master's Theses

This thesis presents the development and validation of a methodology for predicting total acoustic emissions from a one-fifth scale electric vertical takeoff and landing (eVTOL) rotor in both hover and edgewise flight conditions. The approach couples sectional two-dimensional Reynolds-Averaged Navier-Stokes (2D-RANS) airfoil simulations with rotor loading predictions from the Comprehensive Hierarchical Aeromechanics Rotorcraft Model (CHARM), tonal noise calculations using the acoustic solver PSU-WOPWOP, and broadband noise predictions from the UCD-QuietFly framework. Boundary-layer inputs traditionally obtained from the viscous-inviscid solver, XFOIL, were replaced with higher-fidelity 2D-RANS results from OpenFOAM to better capture low-Reynolds-number flow physics, including laminar-turbulent transition and laminar separation …

Adaptive Control Combined With Integral Concurrent Learning For Trajectory Tracking Near Asteroids, Alvaro Diaz Rodrigo

Doctoral Dissertations and Master's Theses

Close-proximity operations in the vicinity of Near-Earth Asteroids (NEAs) are essential for scientific studies and possible future planetary-defense missions. Unlike motion around large celestial bodies, spacecraft dynamics near small, rotating asteroids are dominated by weak, highly irregular gravity fields. While full characterization of an asteroid’s shape enables high-fidelity gravitational modeling, such information is typically unavailable in realistic mission scenarios, and in-situ exploration is often required. As a result, the forces acting on the spacecraft cannot be modeled accurately in advance, leading to significant uncertainty in the equations of motion and challenging guidance and control strategies. To address these challenges, the …

Security Assessment Of A Machine Learning Approach To Generate And Validate Digital Signatures, Juan Ortiz Couder

Doctoral Dissertations and Master's Theses

Cybersecurity has become a global concern as cyber-attacks have become more common, and the cost of the damage caused by them continues to increase. There are several approaches to improve the cyber security of systems such as Digital Signatures, hashing, watermarking, and encryption among others. Digital Signatures are a cryptographic technique used to verify the authenticity and integrity of digital messages or documents. Digital Signatures use a combination of hashing and public-private key encryption to verify the authenticity and integrity of videos, just as they are used for documents and messages. As a result of using a combination of other …

Florence Normal College Quarterly, Faculty Of Florence Normal College

Documents

Faculty Quarterly Journal of Florence Normal College, March 1910.

*Press of The Florence Times*

Florence Normal College Quarterly, Faculty Of Florence Normal College

Documents

Faculty Quarterly Journal of Florence Normal College, January 1910.

Aquaculture Ecosystem Modeling Aeration Efficiency Optimization Using Cfd, Gabriela Reyes Gomez

Electronic Theses and Dissertations 2020 - Present

The Harbor Branch Oceanographic Institute (HBOI) is developing the Intelligent and Resource Efficient Pond Aquaculture (IREPA) project, which aims to improve aquaculture management through the integration of predictive models and automated technologies. This approach seeks to transition traditional practices toward data-driven systems capable of supporting informed decision-making for aeration management.

This study investigates the effectiveness of different aerator configurations on hydrodynamic circulation and dissolved oxygen (DO) distribution in aquaculture ponds using computational fluid dynamics (CFD). A model was developed in ANSYS Fluent, where the aerator was represented using a power-based formulation and implemented as a moving wall boundary condition. Dissolved …

I Lost My Number, Can I Have Yours? Body Image Satisfaction With Sexually Dimorphic Traits Is Associated With Men's Dating Anxiety And Confidence, David A. Frederick, Tania A. Reynolds, Nikoline L. Smart, Justin R. Garcia, David A. Puts

Psychology Faculty Articles and Research

Evolutionary scientists posit that sexual selection processes caused males to develop sexually dimorphic traits to aid them during intrasexual competition and increase their likelihood of being chosen as mates. Evolutionary social sciences have extensively examined women's preferences for traits such as muscle mass and voice pitch, reasoning that these traits serve as cues of men's ability to provide direct benefits (e.g., resources) and indirect (genetic) benefits passed on to offspring. At the same time, body image researchers have extensively focused on the social causes and consequences of men's dissatisfaction with their muscularity and body fat. We connected these two research …

Florence Normal College Quarterly, Faculty Of Florence Normal College

Documents

Faculty Quarterly Journal for Florence Normal College, October 1909.

*Press of The Florence Times*

Syrah: A Pipeline To Maximize Spatial Transcriptomics Data Output, Carolyn Brewster, Frederick G Mann, Blair Benham-Pyle, Alejandro Sánchez Alvarado

Faculty, Staff and Students Publications

Spatial analysis of gene expression patterns has been a key technique for revealing the potential functions of genes. Traditionally, these analyses conducted using in-situ hybridizations and other labor-intensive protocols were constrained to examining only a few candidate genes per sample. However, the advent of spatial transcriptomic techniques like Slide-seqV2 has transformed this field, enabling massively parallel exploration of gene expression patterns within their tissue contexts by pairing spatial locations with RNA sequencing. Despite its potential, Slide-seqV2 datasets often produce fewer usable reads than expected. We have identified that a significant source of errors in the technology stems from the chemical …

Diabetic Nephropathy Masquerading As Systemic Disease: The Critical Role Of Renal Biopsy In A Young Uninsured Woman With Nephrotic Syndrome, Yolanda V. Gutierrez, Alexis Vargas Del Toro, Cristina Kochi Yamamoto, Jose Loayza Pintado, Andres Suarez-Parraga

School of Medicine Publications

Nephrotic syndrome can have overlapping features across multiple diseases, making diagnosis difficult without tissue confirmation. We describe a 30-year-old uninsured Hispanic woman with type 1 diabetes, hypertension, and CKD3B who presented with nephrotic syndrome, sepsis, and progressive muscle weakness. Her pleural effusions, periorbital changes, elevated free light chains, and dysphagia raised concern for systemic conditions such as amyloidosis or polymyositis, especially given inconsistent outpatient follow-up. Because her management would differ significantly depending on the underlying cause and due to the high risk of loss to follow-up, a renal biopsy was pursued. Serologic studies were unremarkable, and biopsy ultimately confirmed diabetic …

Automated Analysis Of Radiation Oncology Incident Reports Using Large Language Models, Nathan A. Dobranski

LSU Master's Theses

Patient safety incident reporting in radiation oncology requires expert analysis that is time-intensive and subject to variability. This thesis presents the development and technical validation of a locally deployed large language model (LLM) system for automated incident report analysis across multiple cancer centers. The system was designed for automated summarization and taxonomy assignment of Radiation Oncology Incident Learning System (RO-ILS) reports, operating entirely on local infrastructure to preserve patient privacy. A two-round, multi-rater evaluation methodology was employed, incorporating 600 total expert evaluations from two academic cancer centers. Round 1 established baseline performance using Mistral 7B and Mixtral 8x7B models with …

Ais26s: Ai In Biomedicine, Shiqian Shen

Paul English Applied Artificial Intelligence (AI) Institute Publications

This presentation explores the role of artificial intelligence in advancing biomedical research and clinical practice from the perspective of a physician-scientist. Dr. Shiqian Shen discusses current challenges in neuroscience and medicine, including limitations in human observation, data analysis, and decision-making across complex biological systems. The talk highlights how AI-driven approaches such as computer vision, neural signal processing, and large-scale data modeling can improve the understanding of disease mechanisms, enhance experimental workflows, and enable more precise, patient-centered care. Specific applications include automated classification of neural activity, behavioral analysis in animal models, and multimodal data integration. A key concept introduced is “shadow …

Obesity And Cardiometabolic Risks In Thai Children: A Comprehensive Cross-Sectional Analysis, Nitiroj Bongkotwilawan, Nantika Paiboon, Therdpong Tempark, Orapa Suteerojntrakool, Chansuda Bongsebandhu-Phubhakdi

Journal of Health Research

Background: Childhood overweight and obesity are increasing globally, posing significant cardiometabolic risks. Despite extensive studies in developed countries, data on the prevalence and risk profiles of cardiometabolic abnormalities in children from Southeast Asia remain limited

Methods: This cross-sectional study involved 270 Thai children aged 6–13 years, recruited from primary schools in Bangkok. Anthropometric measurements were performed to determine weight, height, and BMI. Blood pressure and fasting blood samples were analyzed for lipid profiles, glycated hemoglobin (HbA1c), and serum glutamic pyruvic transaminase (SGPT) levels. Participants were categorized into normal weight, overweight, and obese groups based on BMI standard deviation scores (SDS). …

Comparative Study Of Hybrid Nanocomposite Coating Application Methods, Mustafa S. Kadhim, Layth Al-Gebory, Aseel B. Al-Zubaidi

Engineering and Technology Journal

Protecting carbon steel pipes in the petroleum industry is still a top priority due to the severe corrosive conditions. This study investigates the impact of three coating application techniques on the performance of a hybrid nanocomposite coating: pressured spray gun, roller brush, and polyester brush. A DCP 400 epoxy matrix supplemented with 0.5 weight percent NiCrSiFe metallic micro particles and 0.5 weight percent Zirconia (ZrO2) nanoparticles makes up the coating system. According to experimental data, the application technique has a major impact on the structural and protective qualities of the coating. Although larger layers (up to 169 μm for specimen …

Effect Of Ta2O5 On The Surface Characteristics And Corrosion Behaviour Of Epd Hydroxyapatite/Chitosan Coating On A Ti6al7nb Alloy, Yasir M. Abdulsahib, Makarim H. Abdulkareem, Ali M. Mustafa

Engineering and Technology Journal

The Ti6Al7Nb alloy is widely used as an orthopedic implant in biomedical applications. Despite its excellent corrosion resistance and mechanical properties, metallic wear particles and metal ion release occur over long spans. In order to improve the surface properties of the Ti alloy and develop its clinical use, electrophoretic deposition has been applied to enhance the surface characteristics of the Ti alloy. In this study, a hydroxyapatite-chitosan nanocomposite coating was applied on the Ti6Al7Nb implant alloy surface with varying tantalum oxide contents of 0, 10, 30, and 50 wt.% at a direct current of 60 V for 6 minutes. Hydroxyapatite …

Design Of Air-Entrained Concrete For Airport Pavements Through Local Aggregate Utilization: Performance Optimization And Economic Analysis, Li Wentao, Rizwan Qadir, Arslan Mushtaq, Hilal Khan, Kamran Jillani

Journal of Sustainable Construction Materials and Technologies

Airport pavement construction in developing countries faces critical challenges balancing international performance standards with economic constraints, while limited research exists on optimizing air-entrained concrete mixes using locally sourced materials for cost-effective solutions. This study investigated the development of economical air-entrained concrete mix designs for airport pavements utilizing Pakistani aggregates and systematic cement content optimization. Comprehensive experimental evaluation included material characterization through petrographic analysis, alkali-aggregate reactivity assessment via accelerated mortar bar testing, and mechanical property development across cement contents from 360-450 kg/m3. Air entrainment was achieved through controlled admixture dosing while maintaining target slump of 50mm. Results demonstrated that locally sourced …

A Case Study Of Faculty Perspectives On Teaching Across Borders, Lucy Matthews, Diane R. Edmondson, Tammy Bahmanziari

Atlantic Marketing Journal

This study explores the differences between faculty who have and have not led study abroad programs at a southeastern U.S. public university. Using survey responses from 133 faculty members, the research examines professional and motivational variables that influence participation. Findings reveal that those who have led study abroad programs tend to be satisfied with their experiences, report higher perceptions of student cultural competency gains, and are more likely to recommend such programs to peers. Additionally, experiential learning emerged as a central theme, with faculty highlighting the pedagogical value of immersive global education. Barriers to participation were also investigated. The study …

Five Strategic Categories Ai Is Transforming Marketing, Ryan Matthews

Atlantic Marketing Journal

Artificial intelligence (AI) is a revolutionary technology that provides tools and methodologies to expand marketings impact. AI enables companies to better understand customer needs, preferences, and behaviors to personalize an approach to different market verticals and segments. AI has become a significant factor influencing how businesses interact and retain the attention of customers. Customers increasingly have an appetite for a highly personalized interaction. AI-driven data approaches and innovative technologies are increasing personalization and efficiency. AI is a revolutionary tool that enables marketing to grow beyond traditional limitations. Understanding the correct tool is vital for marketing executives, whether they are obtaining …

Evidence-Based Clinical Practice Guidelines For Postspinal Hypotension In Pregnant Women, Grace Mackey

Doctor of Nursing Practice Scholarly Projects

Abstract

Postspinal hypotension (PSH) in pregnant women undergoing a cesarean delivery is a common yet significant problem for the safety of the mother and fetus. The physiological effects of a spinal injection may compromise uteroplacental flow, predisposing the fetus to hypoxia and acidosis. Maternal consequences of prolonged hypotension include unstable hemodynamics, loss of consciousness, and nausea. Historically, healthcare providers have used crystalloid preloads and reactive phenylephrine boluses to correct hypotension. However, recent evidence suggests that these interventions have limited effectiveness. Thorough research led to the development of clinical guidelines that propose providing a 500 mL 6% hydroxyethyl starch preload or …

Practice Considerations For Perioperative Ondansetron Use In Parturients Undergoing Cesarean Sections With Spinal Anesthesia, Mackenzie Glaros

Doctor of Nursing Practice Scholarly Projects

Elective cesarean sections are often performed with spinal anesthesia, a form of neuraxial anesthesia that offers superior pain relief and reduces the risks associated with general anesthesia. However, over 50% of parturients experience side effects from spinal anesthesia, including shivering, hypotension, nausea, and vomiting, which can cause both physiological and psychological issues for the laboring mother and be detrimental to the fetus. Preventing these side effects is vital for improving safety, patient satisfaction, and minimizing complications. While various interventions and medications have been explored to manage these effects, no standardized guidelines exist for their prevention. A review of existing literature …

Proposed Evidence-Based Practice Consideration: The Use Of Remimazolam Tosilate Instead Of Propofol For Endoscopic Procedures Under Monitored Anesthesia Care In The Elderly Population, Tayler Lynn Detwiler

Doctor of Nursing Practice Scholarly Projects

Endoscopic procedures are essential for diagnosing and managing gastrointestinal conditions, particularly in a growing elderly population. The selection of sedative agents significantly influences patient safety and procedural outcomes. Propofol, the traditional choice, is successful but associated with risks such as hypotension, bradycardia, and respiratory depression, particularly in elderly patients. This hypothetical Doctor of Nursing Practice (DNP) project explores the use of remimazolam tosilate (RT), a novel ultra-short-acting benzodiazepine, as an alternative to propofol during monitored anesthesia care (MAC) for elderly patients undergoing endoscopic procedures. The project utilizes a randomized controlled trial (RCT) design to compare RT and propofol regarding hemodynamic …

Implementation Of Evidenced Based Practice Guidelines For Reducing Emergence Delirium In Elderly Patients Undergoing A Total Hip Replacement, Luke D. Kleinfelder

Doctor of Nursing Practice Scholarly Projects

A total hip replacement is a common surgery for the elderly population, as it is a successful treatment option for hip fractures and end-stage osteoarthritis, a common condition associated with aging. Recovery from surgery is critical, and any postoperative complication can delay recovery, increase cost, lengthen hospital stay, and lead to a poorer long-term surgical outcome. One of the most common and severe postoperative complications for elderly patients following general anesthesia is emergence delirium. Traditional practice focuses on treating the symptoms of emergence delirium reactively instead of proactively and lacks standardized guidelines. Recent literature found a promising decrease in the …

Proposed Evidence-Based Practice Guidelines For Using Esmolol To Blunt The Sympathetic Stress Response To Laryngoscopy And Intubation, Maya Kurdi

Doctor of Nursing Practice Scholarly Projects

Direct laryngoscopy (DL) and endotracheal intubation (ETI) are standard procedures performed during general anesthetic induction, which provoke a sympathetic stress response that can result in intraoperative hemodynamic instability. Traditional agents like lidocaine and fentanyl, commonly used to mitigate the stress response, have limitations and can lead to adverse effects. Recent literature suggests that esmolol, an ultra-short-acting, cardio-selective beta-1 adrenergic receptor antagonist, may be an effective alternative due to its rapid onset, short duration, and minimal side effects. This final scholarly project (FSP) aims to develop evidence-based practice guidelines for using esmolol as an adjunctive induction agent. A systematic literature review …

Evaluating Improvements In Landslide Susceptibility Mapping Using Newly Derived Slope Units, Xinyi Zhang

Honors Capstones

Landslides frequently occur in mountainous regions and remain one of the major natural hazards threatening human safety, infrastructure, and regional development. In areas with steep terrain and intense rainfall, landslide disasters often cause serious economic losses and environmental damage. Landslide susceptibility mapping (LSM) has been widely used to identify potential landslide prone areas and to support disaster prevention, land management, and hazard mitigation. The accuracy of LSM is strongly influenced by the selection of mapping units.

This study focuses on I-lan County, Taiwan, and applies a newly derived slope unit dataset to evaluate its influence on landslide susceptibility mapping. Using …

Heads Up! Designing A Nursing Assessment Tool For Early Recognition Of Intracranial Hypertension Post Head Injury, Sergio A. Dondiego

Honors Capstones

This meta-analysis identifies noninvasive clinical predictors of intracranial hypertension (IH) post head trauma to develop a multi-criteria IH screening tool designed for nurses to wear on their badge reels. High-sensitivity predictors were prioritized to assist in early IH suspicion. Findings suggest that radiographic-measured abnormalities including an optic nerve sheath diameter (ONSD) 5.6 mm and signs of significant head trauma via computed tomography (CT) were highly effective for predicting IH and were therefore defined as major criteria for the assessment tool. Other significant examination findings include a Glasgow Coma Scale (GCS) score 8 and atypical pupillary reactivity. While age showed conflicting …

Frailty As A Surgical Vital Sign: A Narrative Review Of Risk Stratification And Outcomes In General Surgery, Ambrose Loc T. Ngo, Matthew Tiojanco, Ian Miller, Linda Nguyen, Uyen Tam Nguyen, Carolyn Duong

Student Publications

Frailty has emerged as a critical determinant of perioperative risk, yet it remains underutilized in routine surgical assessment. As the global population ages, an increasing proportion of patients undergoing general surgery present with diminished physiologic reserve that is not adequately captured by traditional risk stratification tools. This narrative review examines frailty as a multidimensional construct and its role as a prognostic marker in general surgery, with the aim of synthesizing current evidence on its biological basis, evaluating commonly used frailty assessment tools, and examining its impact on postoperative outcomes, including morbidity, mortality, length of stay, and discharge disposition. A comprehensive …