Digital Commons Network^™

Decreasing Overall Breast Cancer Risk Through Assessment, Treatment, And Prevention Of Vitamin D Deficiency In The Adult Population, Rachel Jamison

Doctor of Nursing Practice Scholarly Project

The primary objective of this study is to examine the effectiveness of an educational initiative aimed at enhancing nurse practitioners' understanding and recognition of vitamin D deficiency. The purpose of this program is to equip them with the skills to screen, diagnose, and manage this condition to mitigate the overall risk of breast cancer in patients. Vitamin D deficiency is a prevalent global health issue that affects over one billion people, and it can manifest at any stage of life without showing any symptoms, making it challenging for healthcare providers to detect. However, even mild or prolonged deficiencies can lead …

Geometrically Exact Beam Theory For Gradient-Based Optimization, Taylor Mcdonnell, Andrew Ning

Faculty Publications

Decades of research have progressed geometrically exact beam theory to the point where it is now an invaluable resource for analyzing and modeling highly flexible slender structures. Large-scale optimization using geometrically exact beam theory remains nontrivial, however, due to the inability of gradient-free optimizers to handle large numbers of design variables in a computationally efficient manner and the difficulties associated with obtaining smooth, accurate, and efficiently calculated design sensitivities for gradient-based optimization. To overcome these challenges, this paper presents a finite-element implementation of geometrically exact beam theory which has been developed specifically for gradient-based optimization. A key feature of this …

Characteristics Of Pyrolysis Products Of California Chaparral And Their Potential Effect On Wildland Fires, Mahsa Alizadeh, David R. Weise, Thomas H. Fletcher

Faculty Publications

The aim of this study was to investigate the pyrolysis of selected California foliage and estimate the energy content of the released volatiles to show the significance of the pyrolysis of foliage and its role during wildland fires. While the majority of the volatiles released during the pyrolysis of foliage later combust and promote fire propagation, studies on the energy released from combustion of these compounds are scarce. Samples of chamise (Adenostoma fasciculatum), Eastwood’s manzanita (Arctostaphylos glandulosa), scrub oak (Quercus berberidifolia), hoaryleaf ceanothus (Ceanothus crassifolius), all native to southern California, and sparkleberry …

Derivative Propagation Through Vortex Particle Method Simulation, Eric Green, Andrew Ning

Faculty Publications

Automatic differentiation (AD) is a powerful tool for evaluating numerical derivatives. In particular, reverse-mode AD provides numerical gradients in a way that is insensitive to the number of input variables. This makes reverse-mode AD well-suited for solving large optimization problems. However, reverse-mode AD has a particularly large associated memory cost because most intermediate values in operations need to be cached. This is problematic for large problems such as aerodynamics simulations, though, since the memory requirements can quickly become impractical. The solution implemented in this work is to provide analytic pullback expressions for functions for which many of the intermediate values …

Trajectory Optimization Of Evtol And Conventional Aircraft: A Comparative Analysis Of Vortex Particle Method And Vortex Lattice + Blade Element Momentum Theory, Andrew Tagg, Ryan Anderson, Cibin Joseph, Andrew Ning

Faculty Publications

Trajectory optimization of aircraft transition maneuvers can significantly influence the design of these systems, particularly when making decisions about aircraft geometry, propulsion sizing, and control system design. This paper presents the trajectory optimization of air vehicles including electric vertical takeoff and landing (eVTOL) as well as conventional aircraft. The study evaluates the influence of fidelity in trajectory design by comparing the use of two aerodynamic methods in the context of trajectory optimization. The mid-fidelity method utilizes a vortex lattice method (VLM) to model lifting surfaces while employing blade element momentum theory (BEMT) to model rudimentary rotor-wing interactions. The high-fidelity approach …

Ductape: A Steady-State, Axisymmetric Ducted Fan Analysis Code Designed For Gradient-Based Optimization, Judd Mehr, Andrew Ning

Faculty Publications

Electric ducted fans have become an intriguing option for the propulsion systems of clean, quiet advanced air mobility technologies due to their potential benefits in both aerodynamic efficiency and reduced noise profiles compared to open rotor systems. Exploration of conceptual electric ducted fan design in the context of novel, and often complex, applications may be greatly aided by the use of optimization techniques. Specifically, gradient-based optimization lends itself to the exploration of large, complex, multi-disciplinary systems due to its inherent scalability. Despite ducted fans/propellers having been relatively well studied for the last century, modern, gradient-based, optimization-ready analysis tools for ducted …

Persevering Through Communication Challenges: A Qualitative Descriptive Exploration Of Communication Experiences In Aphasia, Tyson G. Harmon, Camille Williams, Garrett Cardon, William S. Evans

Faculty Publications

Background

People with aphasia often experience activity limitations and participation restrictions despite wanting to engage in communication activities that are satisfying and meaningful. Communication partner support, the complexity of the communication environment, and the thoughts and feelings of people with aphasia have important implications for both language processing and communicative participation. The perspectives of PWA about the role that environmental and personal factors (e.g. thoughts and feelings) play in their communication experiences could inform clinical practice.

Aims

To qualitatively explore the communication experiences of people with aphasia and how environmental demands and personal factors (especially emotional responses) affect these experiences. …

An Analysis Of Nhs 111 Demand For Primary Care Services: A Retrospective Cohort Study, Richard Pilbery, Madeleine Smith, Jonathan Green, Daniel Chalk, Colin O'Keeffe

School of Health Professions

The NHS 111 service triages over 16,650,745 calls per year and approximately 48% of callers are triaged to a primary care disposition, such as a telephone appointment with a general practitioner (GP). However, there has been little assessment of the ability of primary care services to meet this demand. If a timely service cannot be provided to patients, it could result in patients calling 999 or attending emergency departments (ED) instead. This study aimed to explore the patient journey for callers who were triaged to a primary care disposition, and the ability of primary care services to meet this demand. …

2024-2025 Academic Catalog, Saint Mary's College Of California

Academic Catalog

No abstract provided.

The Schools, Saint Mary's College Of California

Academic Catalog

No abstract provided.

Undergraduate Curriculum, Saint Mary's College Of California

Academic Catalog

No abstract provided.

Financial Aid, Saint Mary's College Of California

Academic Catalog

No abstract provided.

Core-Designated Courses, Saint Mary's College Of California

Academic Catalog

No abstract provided.

Enrollment And Admission For Undergraduates, Saint Mary's College Of California

Academic Catalog

No abstract provided.

Undergraduate Academic Regulations, Saint Mary's College Of California

Academic Catalog

No abstract provided.

Becoming An Effective Jibs Reviewer, A. Rebecca Reuber, Shameem Prashantham, Liang Chen

Research Collection Lee Kong Chian School Of Business

No abstract provided.

Ghcu, A Molecular Chaperone, Regulates Leaf Curling By Modulating The Distribution Of Kngh1 In Cotton, Yihao Zang, Chenyu Xu, Lishan Yu, Longen Ma, Lisha Xuan, Sunyi Yan, Yayao Zhang, Yiwen Cao, Xiaoran Li, Zhanfeng Si, Jieqiong Deng, Tianzhen Zhang, Yan Hu

Faculty, Staff and Student Publications

Leaf shape is considered to be one of the most significant agronomic traits in crop breeding. However, the molecular basis underlying leaf morphogenesis in cotton is still largely unknown. In this study, through genetic mapping and molecular investigation using a natural cotton mutant cu with leaves curling upward, the causal gene GHCU is successfully identified as the key regulator of leaf flattening. Knockout of GHCU or its homolog in cotton and tobacco using CRISPR results in abnormal leaf shape. It is further discovered that GHCU facilitates the transport of the HD protein KNOTTED1-like (KNGH1) from the adaxial to the abaxial …

Genetic Analysis Of Seven Patients With Inherited Ichthyosis And Nagashima-Type Palmoplantar Keratoderma, Jing Zhang, Yue Yao, Ya Tan, Hua-Ying Hu, Lin-Xi Zeng, Guo-Qiang Zhang

Faculty, Staff and Student Publications

Inherited ichthyosis comprises a series of heterogeneous dermal conditions; it mainly manifests as widespread hyperkeratosis, xerosis and scaling of the skin. At times, overlapping symptoms require differential diagnosis between ichthyosis and several other similar disorders. The present study reports seven patients with confirmed or suspected to be associated with ichthyosis by conducting a thorough clinical and genetic investigation. Genetic testing was conducted using whole-exome sequencing, with Sanger sequencing as the validation method. The MEGA7 program was used to analyze the conservation of amino acid residues affected by the detected missense variants. The enrolled patients exhibited ichthyosis-like but distinct clinical manifestations. …

Surface Roughness And Stain Remover Ability Of Prophylaxis Paste And Biochar Gel For Stained Teeth Based On Cucurbita Moschata – In Vitro Study, Shadwa Kabil

Dentistry

No abstract provided.

Surface Roughness And Stain Remover Ability Of Prophylaxis Paste And Biochar Gel For Stained Teeth Based On Cucurbita Moschata – In Vitro Study, Shadwa Kabil, Mohamed Mostafa Zayed, Mayssa Abdel Hady Mohamed, Elsayed Gamal Zaki Swelame, Shaimaa Moustafa Rohym

Dentistry

No abstract provided.

Parental View On Hpv Vaccination, Rebecca Elaine Rhodes

Electronic Theses and Dissertations

The human papillomavirus (HPV) is a sexually transmitted infection widely seen in the United States. Millions of Americans are affected by it each year, especially those in their late teens and early 20s. Although most infections will resolve on their own, 1 in 10 will lead to health problems such as cancer. The HPV vaccine can prevent over 90% of associated precancers and cancers. However, uptake of the HPV vaccine and its completion among adolescents are significantly lower than other recommended adolescent immunizations, falling short of the Healthy People 2030 goal of 80% coverage. Understanding parental attitudes, beliefs, and perceptions …

Optimizing Sexual Reproductive Health Of Men And Women With Cystic Fibrosis: A Systematic Review, Anand G Iyer, Benjamin Yu, Amit Reddy, Mohit Khera

Faculty, Staff and Students Publications

This systematic review summarizes the impact of cystic fibrosis (CF) on sexual and reproductive health (SRH) in males and females, covering pubertal development, hormonal function, family planning, and fertility. Included articles featured historical CF diagnostic criteria, preclinical or clinical data (retrospective cohorts or open label trials), while excluded articles lacked full text availability, explicit methodology, or comparisons between CF and non-CF patients. Genotype differences in CFTR mutations influenced symptom severity. Males with CF experienced delayed puberty, hypogonadism, infertility from obstructive azoospermia, and semen parameter issues. Female CF patients showed decreased fertility, possibly linked to disrupted ionic balance and ovarian cystic …

A Strategic Communication Plan For The Clemente Center At Florida Tech, Cristiano Bozzolan

Theses and Dissertations

This design project develops a strategic communication plan for the Clemente Center at the Florida Institute of Technology, aimed at enhancing campus engagement. The methodology includes interviews, focus groups, a SWOT analysis, and secondary data analysis, providing insights into the communication dynamics at the center.

Key findings reveal a reliance on outdated communication methods and insufficient use of digital platforms. The proposed communication plan introduces optimized digital signage, targeted email campaigns, community engagement initiatives, and enhanced staff training. These strategies are designed to be cost-effective and actionable, addressing the center's current limitations and leveraging opportunities for improved community interaction.

This …

Reality In Motion: An Audio Documentary Exploring The Fluid Essence Of Life, Alessandro Bonaiuto

Theses and Dissertations

Reality in Motion is a science communication project that aims to create an audio documentary based around the theme of movement in various aspects of life, both human and non. The project is a 30-minute podcast that explores the topic of life and movement through the lens of smaller stories. Guided by a main narrator, with the intervention of experts, Reality in Motion seeks to provoke thought and inspire curiosity about the intricate dynamics that shape our world.

Student Perceptions Of Integrated Stem Education In A High School Geometry Class, Alyssa Noland

Dissertations

Integrated Science Technology Engineering Mathematics (STEM) education provides students with opportunities to solve integrated real-world problems. Integrated STEM instruction aims to develop 21^st-century skills in students and promote interest in STEM subjects through authentic real-world tasks. Student perceptions can help educators and administrators to understand the benefits and constraints of integrated STEM instruction. This qualitative case study was designed to understand student perceptions of integrated STEM instruction and student perceptions of the value or applications of mathematics. The situated STEM learning and social constructivism theoretical frameworks guided the design of the lessons and methods of the study. High …

Clinicopathologic Dissociation: Robust Lafora Body Accumulation In Malin Ko Mice Without Observable Changes In Home-Cage Behavior, Vaishnav Krishnan, Jun Wu, Arindam Ghosh Mazumder, Jessica L Kamen, Catharina Schirmer, Nandani Adhyapak, John Samuel Bass, Samuel C Lee, Atul Maheshwari, Gemma Molinaro, Jay R Gibson, Kimberly M Huber, Berge A Minassian

Faculty, Staff and Students Publications

Lafora disease (LD) is a syndrome of progressive myoclonic epilepsy and cumulative neurocognitive deterioration caused by recessively inherited genetic lesions of EPM2A (laforin) or NHLRC1 (malin). Neuropsychiatric symptomatology in LD is thought to be directly downstream of neuronal and astrocytic polyglucosan aggregates, termed Lafora bodies (LBs), which faithfully accumulate in an age-dependent manner in all mouse models of LD. In this study, we applied home-cage monitoring to examine the extent of neurobehavioral deterioration in a model of malin-deficient LD as a means to identify robust preclinical endpoints that may guide the selection of novel genetic treatments. At 6 weeks, ∼6-7 …

Uldp-Fl: Federated Learning With Across-Silo User-Level Differential Privacy, Fumiyuki Kato, Li Xiong, Shun Takagi, Yang Cao, Masatoshi Yoshikawa

Faculty, Staff and Student Publications

Differentially Private Federated Learning (DP-FL) has garnered attention as a collaborative machine learning approach that ensures formal privacy. Most DP-FL approaches ensure DP at the record-level within each silo for cross-silo FL. However, a single user's data may extend across multiple silos, and the desired user-level DP guarantee for such a setting remains unknown. In this study, we present Uldp-FL, a novel FL framework designed to guarantee user-level DP in cross-silo FL where a single user's data may belong to multiple silos. Our proposed algorithm directly ensures user-level DP through per-user weighted clipping, departing from group-privacy approaches. We provide a …

Does Differential Privacy Prevent Backdoor Attacks In Practice?, Fereshteh Razmi, Jian Lou, Li Xiong

Faculty, Staff and Student Publications

Differential Privacy (DP) was originally developed to protect privacy. However, it has recently been utilized to secure machine learning (ML) models from poisoning attacks, with DP-SGD receiving substantial attention. Nevertheless, a thorough investigation is required to assess the effectiveness of different DP techniques in preventing backdoor attacks in practice. In this paper, we investigate the effectiveness of DP-SGD and, for the first time, examine PATE and Label-DP in the context of backdoor attacks. We also explore the role of different components of DP algorithms in defending against backdoor attacks and will show that PATE is effective against these attacks due …

Discret: Synthesizing Faithful Explanations For Treatment Effect Estimation, Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily J Getzen, Qi Long, Mayur Naik, Ravi B Parikh, Eric Wong

Faculty, Staff and Student Publications

Designing faithful yet accurate AI models is challenging, particularly in the field of individual treatment effect estimation (ITE). ITE prediction models deployed in critical settings such as healthcare should ideally be (i) accurate, and (ii) provide faithful explanations. However, current solutions are inadequate: state-of-the-art black-box models do not supply explanations, post-hoc explainers for black-box models lack faithfulness guarantees, and self-interpretable models greatly compromise accuracy. To address these issues, we propose DISCRET, a self-interpretable ITE framework that synthesizes faithful, rule-based explanations for each sample. A key insight behind DISCRET is that explanations can serve dually as database queries to identify similar …

Identification Of Immune-Associated Biomarkers Of Diabetes Nephropathy Tubulointerstitial Injury Based On Machine Learning: A Bioinformatics Multi-Chip Integrated Analysis, Lin Wang, Jiaming Su, Zhongjie Liu, Shaowei Ding, Yaotan Li, Baoluo Hou, Yuxin Hu, Zhaoxi Dong, Jingyi Tang, Hongfang Liu, Weijing Liu

Faculty, Staff and Student Publications

BACKGROUND: Diabetic nephropathy (DN) is a major microvascular complication of diabetes and has become the leading cause of end-stage renal disease worldwide. A considerable number of DN patients have experienced irreversible end-stage renal disease progression due to the inability to diagnose the disease early. Therefore, reliable biomarkers that are helpful for early diagnosis and treatment are identified. The migration of immune cells to the kidney is considered to be a key step in the progression of DN-related vascular injury. Therefore, finding markers in this process may be more helpful for the early diagnosis and progression prediction of DN.

METHODS: The …