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Unh Faculty Senate Motion # Xxx-M4 Motion On Transparency And Shared Governance Related To External Vendor Partnerships, Faculty Senate

Faculty Senate Motions

No abstract provided.

Territorios Marginales Y Urbanismo Olvidado: Las "Nuevas Poblaciones" De Carlos Iii Y Los Nuevos Recursos De Exploración Geográfica Y Promocion Turística, Ángel Luis Fernández Muñoz, Javier Hernández Ruiz

Capítulos de libros

Aunque son frecuentes las llamadas de alerta sobre el patrimonio histórico en peligro, el caso de los conjuntos edificados en un medio rural generalmente escasamente habitado es con frecuencia menos señalado. Bienes muebles e inmuebles parecen reconocerse fácilmente como pertenecientes al campo de las sensibilidades que, con fortuna variable, nuestra sociedad aplica a la conservación de nuestro pasado. Pero las pequeñas aldeas y los asentamientos de mayor o menor tamaño establecidos en el medio rural parecen generar una menor atención, debido fundamentalmente a dos situaciones que se dan en ellos: el abandono funcional o su uso como hábitat diario.

Design Of Tertiary Z-Scheme Cuo–Zno@Mxene Photocatalyst With Superior Visible-Light Activity For Decomposition Of Nanoplastics, Ahmad Najafidoust, Javad Farahbakhsh, Roham Ghanbari, Mohadeseh Najafi, Alireza Keshavarz, Stefan Iglauer, Masoumeh Zargar

Research outputs 2022 to 2026

Plastic pollution has resulted in the widespread accumulation of nanoplastics (NPs) in aquatic environments, highlighting the need for innovative remediation strategies. In this study, a tertiary z-scheme CuO–ZnO/MXene nanocomposite was developed for the visible-light-assisted degradation of polyethylene-based NPs. ZnO particles were doped with 8 % CuO to form a p-n type heterojunction, and the resulting CuO–ZnO nanoparticles were anchored onto two-dimensional MXene sheets through a sono-precipitation dispersion method, forming a ternary z-scheme photocatalyst with enhanced surface area. The composite exhibited a low electron-hole recombination rate and a tunable band gap (~2.55 eV), enabling efficient visible-light absorption. Under visible light irradiation, …

Echoes Of The Modern Training Periodization Concepts In Russia Before The October 1917 Revolution, Sandro Bartolomei, Gulnara Mammadova, Renato Manno, Gregory G. Haff, Jay R. Hoffman, Franco Merni

Research outputs 2022 to 2026

Abstract – Bartolomei, S, Mammadova, G, Manno, R, Haff, GG, Hoffman, JR, and Merni, F. Echoes of the modern training periodization concepts in Russia before the October 1917 revolution. J Strength Cond Res 39(12): 1327–1330, 2025—The debate on the origins of the discipline of training periodization is still ongoing. The text “Olympic Sport, ” published by B. A. Kotov in 1916, was one of the first known books to focus on training methods and strategies for performance development. The book is also considered the first to deal with training organization and periodization. In addition, Kotov was the only author to …

Hamstring Strength And Architectural Properties Are Associated With Running Biomechanics, Nicholas Ripley, Christopher Bramah, Paul Comfort, John Mcmahon

Research outputs 2022 to 2026

Applied muscular strain and hamstring strain capacity have a joint interaction on hamstring strain injury (HSI) with modifiable risk factors frequently assessed. However, to date there is limited observations on the interaction between these factors. The purpose of the present study was to observe if spatiotemporal characteristics, running kinematics and muscle activation were related to modifiable risk factors of HSI. Twenty-two competitive team sport athletes (24.7 ± 4.3 years, 1.82 ± 0.07 m, 84.9 ± 8.5 kg) participated whereby the Bicep femoris long head (BFLH) fascicle length assessed via ultrasound and isokinetic eccentric hamstring strength was assessed. With running assessment …

Muscle Imaging Assessments In Sarcopenia: A Statement From China National Center For Orthopedics (Nco) And The East Meets West Action Group Of The European Calcified Tissue Society (Ects), Ling Wang, Shuai Lu, Jiahua Feng, Kairui Ma, Fangfang Duan, Renxian Wang, Xiaoguang Cheng, Yajun Liu, Yuuki Imai, Hailing Chen, Claus C. Glüer, Giuseppe Guglielmi, Annegreet G. Vlug, Jianmin Liu, Klaus Engelke, Mei Li, Marc Sim, Salvatore Minisola, Xieyuan Jiang

Research outputs 2022 to 2026

Sarcopenia, characterized by progressive loss of muscle mass, strength, and function, significantly impacts patient outcomes. Accurate assessment of muscle mass is essential for its diagnosis. Currently the agreement on how to use imaging for sarcopenia detection is still debated and how well the muscle imaging assessments correlate with muscle function needs further agreement. Recognizing the critical role of imaging in this process, the China National Center for Orthopedics (NCO) and the East Meets West Action Group of European Calcified Tissue Society (ECTS) convened a working group endorsed by the Board of the ECTS. This paper aims to evaluate the utility …

Perils Of Precisely Equal Group Size In Randomised Controlled Trials, Richard Gray, Daniel Bressington, Bridgina Mackay, Martin Jones, David R. Thompson

Research outputs 2022 to 2026

No abstract provided.

Comparison Of Respiratory Responses To Exercise Under Different Heat-Stressful Environments Between Oral Contraceptive And Naturally Menstruating Ovulating Female Athletes, Nanako Hayashi, Toby Mündel, Tze Huan Lei, Claire Badenhorst

Research outputs 2022 to 2026

The present study conducted a secondary analysis of previous data (Lei et al., 2017, 2019) to compare exercise-induced respiratory responses under heat stress between the early follicular (EF)/ quasi -EF and mid-luteal (ML)/ quasi -ML phases in naturally menstruating and oral contraceptive pill (OCP)-using female athletes. Additionally, the study aimed to examine the associations between respiratory responses, thermoregulation, and hormonal profiles within each group. Sixteen endurance-trained female athletes participated: eight with a natural menstrual cycle (NM group) and eight using OCP (OCP group). Each participant completed four trials, comprising fixed-intensity cycling (at 125 and 150 W) followed by a 30-min …

Integrating Evidence Synthesis Into Doctoral Research: A Guide For Family Medicine And Primary Care, Klaus B. Von Pressentin, Jacob Shabani, Taryn Young

Family Medicine, East Africa

Given the increased complexity of healthcare needs, evidence-informed practices are needed, now more than ever. Combining the best available research evidence, the perspectives of patients and communities, and the voices of healthcare workers in guiding policy and practice is essential. All of us involved in providing and strengthening family medicine and primary care need to be good consumers (users) of research, and some will be good producers (doers) of research. In both using and doing research, a helpful starting point is evidence synthesis – a form of secondary research that collates primary research on the same research question. This short …

Dielectric Properties Of Surface-Doped Partially Stabilised Zirconia With Ceramic Nanomaterials, Lara Al-Hakeem, Shihab Zaidan, Wafaa Khalef

Journal of Applied Sciences and Nanotechnology

The microstructural and dielectric properties of Yttria-partially stabilized zirconia (Y-PSZ) were studied before and after sintering with BaTiO3 and WO3 doping. After sintering, FE-SEM analysis revealed increased grain coalescence and growth, with BaTiO3 causing 300 nm grain expansion and WO3 promoting uniform grain distribution without significant grain size increase (~200 nm). These microstructural changes dramatically altered dielectric behavior. All sintered samples had higher dielectric constants than pre-sintered ones between 100–1000 kHz due to reduced porosity and enhanced homogeneity. Dielectric constant was highest in BaTiO3-doped Y-PSZ at lower frequencies, while WO-doped showed superior frequency stability and lower dielectric loss across the …

Effects Of Short- And Long-Term Exercise Training On Cancer Cells In Vitro: Insights Into The Mechanistic Associations, Francesco Bettariga, Dennis R. Taaffe, Daniel A. Galvão, Robert U. Newton

Research outputs 2022 to 2026

Exercise is a therapeutic approach in cancer treatment, providing several benefits. Moreover, exercise is associated with a reduced risk for developing a range of cancers and for their recurrence, as well as with improving survival, even though the underlying mechanisms remain unclear. Preclinical and clinical evidence shows that the acute effects of a single exercise session can suppress the growth of various cancer cell lines in vitro. This suppression is potentially due to altered concentrations of hormones (e.g., insulin) and cytokines (e.g., tumor necrosis factor alpha and interleukin 6) after exercise. These factors, known to be involved in tumorigenesis, may …

Exploring And Validating Associations Between Six Systemic Inflammatory Indices And Ischemic Stroke In A Middle-Aged And Old Chinese Population, Yulu Zheng, Zheng Guo, Jingzheng Wang, Zhiyuan Wu, Xiaolin Chen, Yahong Zhu, Guangle Shan, Haifeng Hou, Xingang Li

Research outputs 2022 to 2026

Background: Inflammation and maladaptive immune mechanisms have been substantiated as integral components in the critical pathological processes of the injury cascade in ischemic stroke (IS). This study aimed to explore the associations between six systemic inflammatory indices and IS in a Chinese population. Methods: This was a case-control study based on the retrospective review of electronic medical records from two hospitals in Shandong Province, China. Systemic inflammatory indices, including the systemic inflammation response index (SIRI), systemic immune inflammation index (SII), pan-immune-inflammation value (PIV), neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), and lymphocyte monocyte ratio (LMR), were calculated. Logistic regression …

Industry Return Predictability Using Health Policy Uncertainty, Thach Pham, Deepa Bannigidadmath, Robert Powell

Research outputs 2022 to 2026

This paper examines how a change in health policy uncertainty affects US industry returns using monthly data from January 1985 to September 2020. We employ in-sample and out-of-sample analyses, and we find evidence that 25 out of 49 considered industries are predictable during the health crisis periods, including severe acute respiratory syndrome and the ongoing coronavirus pandemic. The out-of-sample tests corroborate the evidence for the in-sample predictability. Furthermore, using a mean–variance utility function-based trading strategy, we observe that investors can use this simple tool for their trading strategies and make profits from 2.99 to 11.44% per annum. Our findings are …

Optimization Of Energy Management In Malaysian Microgrids Using Fuzzy Logic-Based Ems Scheduling Controller, Mohammad Nur-E-Alam, Tarek Abedin, Nur Aini Samsudin, Jana Petrů, Abdulwasa Bakr Barnawi, Manzoore Elahi M. Soudagar, T. M.Yunus Khan, Muhammad Nasir Bashir, Mohammad Aminul Islam, Boon Kar Yap, Tiong Sieh Kiong

Research outputs 2022 to 2026

The microgrid (MG) faces significant security issues due to the two-way power and information flow. Integrating an Energy Management System (EMS) to balance energy supply and demand in Malaysian microgrids, this study designs a Fuzzy Logic Controller (FLC) that considers intermittent renewable sources and fluctuating demand patterns. FLC offers a flexible solution to energy scheduling effectively assessed by MATLAB/Simulink simulations. The microgrid consists of PV, battery, grid, and load. A Maximum Power Point Tracking (MPPT) controller helps to extract the maximum PV output and manages the power storage by providing or absorbing excess power. System analysis is performed by observing …

Impacts Of Nutrient Addition And Disturbance On Coastal Dune Arthropod Communities And Trophic Interactions, Kayla Beitzel

Graduate Theses and Dissertations (2019 - present)

Coastal dune ecosystems face ongoing threats from human-mediated disturbance and altered resource availability. Because these dunes provide critical habitat for many organisms, including shorebirds, beach mice, and arthropods, changes in disturbance regimes or resource availability can impact plant communities and higher trophic levels by altering plant richness and productivity, which in turn influence arthropod abundance and diversity. To examine how disturbance and nutrient addition affect arthropod communities, we established twenty 5×5 m plots on Dauphin Island, crossing mechanical disturbance with a 10 g m⁻² addition of nitrogen, phosphorus, and potassium, replicated across five experimental blocks. Arthropods were sampled using three …

Climate Science And Natural Resource Litigation, Jessica A. Wentz

Sabin Center for Climate Change Law

Climate change has major implications for sustainable use and conservation of natural resources. Many natural systems are already under severe stress and may be unable to sustain historical use patterns; resource management decisions can also exacerbate or mitigate climate change by affecting the balance of greenhouse gases in the atmosphere. This Article describes the legal and scientific basis for recognizing agencies’ obligations to assess and respond to climate change, drawing insights from a survey of U.S. litigation involving forests, fisheries, rangelands, and freshwater resources. The cases suggest litigants have been somewhat successful in driving more rigorous assessments of climate change. …

The Disaster Management Complex: Law’S Adaptations In Times Of Climate Disaster, Michael Burger, Jeffrey Schlegelmilch, Lucia Bragg

Sabin Center for Climate Change Law

The Anthropocene is marked by constant climate-related disasters and defined by the urgent need to foster and implement adaptations to future climate impacts that reduce disaster risk. The intensity, frequency, and severity of extreme weather events continue to rise even as nations and corporations alike miss their emissions targets, all promising a hotter, wetter, and more extreme future. A number of federal agencies, including the Federal Emergency Management Agency (FEMA), have, at times, sought to adapt their own famously fragmented responses to these changing circumstances. However, federal disaster response is conducted against a backdrop of authorizing legislation that is designed …

Human Alveolar Macrophage Function Is Impaired In Tuberculosis Contacts With Diabetes, Léanie Kleynhans, Carine Kunsevi-Kilola, Happy Tshivhula, Tariq Webber, Alana Keyser, Nicole Prins, Candice I. Snyders, Ayanda Shabangu, Virginie Rozot, Blanca I. Restrepo

School of Medicine Publications

Background: Tuberculosis (TB) remains a leading cause of morbidity and mortality worldwide. Individuals with type 2 diabetes (T2D) are at increased risk of developing active TB, tend to present with more severe disease and experience adverse treatment outcomes compared to individuals without T2D co-morbidity. However, the underlying mechanisms responsible for increased susceptibility of patients with T2D to TB remain poorly understood.

Methods: We performed bronchoscopies and collected bronchoalveolar lavage fluid (BAL) from TB contacts with and without T2D in South Africa and obtained paired human alveolar macrophages (HAMs) and monocyte-derived macrophages (MDMs) for transcriptomic, epigenetic and functional assays.

Findings: Following …

Using An Adapted Ripple Effect Map To Evaluate The Community Impact Of A Mobile Harm Reduction Team In Allentown, Pa., Alexandra Bersani Do, Alex Benjamin Md, Nyann Biery Dhsc, Abby S. Letcher Md

Department of Family Medicine

No abstract provided.

Exploring Synthetic Data Generation For Machine Learning And Statistical Analysis, Aditi S. Gajjar

Master's Theses

In the data-driven machine learning and statistical analysis world, real-world data availability is often constrained by privacy concerns, access restrictions, or resource limitations. To address these challenges, synthetic data provides a groundbreaking solution, enabling academics and data scientists to generate artificial datasets that mimic real-world data for model development and testing in a controlled, privacy-preserving environment. The syntheticDatasets package represents an R-based counterpart to Python's widely-used Scikit-learn dataset generators, adapted to meet the needs of statisticians, educators, and data scientists primarily working in the R programming ecosystem.

This thesis explores the design and implementation of the syntheticDatasets package, focusing on …

Performance Enhancement For Rufa: Rapid Urban Forest Assessment, Nicholas Tan

Master's Theses

Urban forests are crucial to the livability and resilience of cities, offering critical ecosystem benefits such as air quality enhancement, temperature regulation, and biodiversity. Managing said urban forests is essential to ensure their sustainability and adaptability to rapidly changing environmental and climate conditions. The Rapid Urban Forest Assessment (RUFA) tool was developed to address the need for a standardized approach to evaluating and comparing urban and community forestry programs. By analyzing and aggregating tree-specific data across California, such as canopy cover, tree counts, and diversity scores, RUFA assigns a comprehensive urban forestry score for each city. This score allows for …

Flower Color Variation And Its Maintenance: Experimental Ecology Of Serpentine-Adapted Leptosiphon Parviflorus Benth. (Polemoniaceae), Magdalene S. Lo

Master's Theses

Environmental heterogeneity can impose fluctuating selection pressures on species across space and time. If variations of a trait provide fitness benefits in certain environmental conditions but not others, these fitness tradeoffs under fluctuating selection could be a means of maintaining intraspecific variation. A common type of intraspecific variation is the production of anthocyanins, pigments responsible for red, pink, and blue colors in plants and that can also provide protection from abiotic stressors, such as water limitation and heavy metals. Leptosiphon parviflorus Benth. (Polemoniaceae, variable linanthus) is an annual wildflower whose individuals produce either pink or white flowers, and both flower …

Accelerating Relationship Discovery In Chronic Lower Back Pain Through Knowledge Graph And Ontology Enhanced Large Language Models, Damon Lin

Master's Theses

Chronic lower back pain (cLBP) is a widespread public health burden linked to anxiety, depression, and opioid addiction. Interventions aimed at treating cLBP have shown minimal improvements in pain outcomes, leading researchers to reexamine our understanding of cLBP through constructing a causal model. However, constructing causal models through Randomized Controlled Trials are often unfeasible, and relying on domain expertise requires extensive and time-consuming research, posing a serious bottleneck for designing effective treatments. To accelerate this process, we apply Knowledge Graphs, Ontologies, and Large Language Models (LLMs) to aid researchers in determining possible causal relationships. First, we demonstrate how LLMs can …

Dynamic Modeling And Simulation Of A Power Generation Steam Rankine Cycle For A Fluoride Salt-Cooled High-Temperature Reactor Nuclear Power Plant, William R. Ton

Master's Theses

Nuclear Fluoride Salt-Cooled High-Temperature Reactors (FHRs) have the potential to greatly improve nuclear technology in terms of safety and cost. By combining molten salt coolant technology from the Molten Salt Reactor (MSR) and TRISO fuel technology from the Very High Temperature Gas Reactor (VHTR), FHRs may operate at significantly lower pressures than Light Water Reactors (LWRs) and with a more robust fuel source that is excellent at containing fission products. However, as no FHR has been built, there are still many design questions to address. This thesis uses transient computer modeling and simulation to investigate how an FHR could potentially …

An Analysis Of Neuroidal Memory Formation Within D. Melanogaster, Jerry Chang

Master's Theses

The Neuroidal model poses a neurobiologically plausible theory for modeling the brain. This symbolic network has been shown to capture realistic memorization behaviors using the JOIN algorithm. The model has also been recently improved by incorporating Watts-Strogatz small-worlds within its base structure. From the efforts of neuroscience researchers, we have access to the Drosophila melanogaster (D. melanogaster) fruit fly’s connectome, which has been found to also contain small-worlds in this thesis. By synthesizing the Ocellar Ganglion (OCG) region of Drosophila, we compare a digitized version of a real-world brain with an instance of the Neuroidal model. In this thesis, we …

A Comparative Evaluation Of Feedback Strategies For Enhancing Student Software Test Suite Writing Outcomes, Ashton Alonge

Master's Theses

Background and Context

Software testing is a fundamental component of computer science education, forming the basis for students’ ability to ensure program correctness and reliability. Despite its importance, many students struggle to design test cases that effectively expose faults and achieve meaningful test coverage. Traditional instructional approaches often emphasize code coverage metrics such as line or branch coverage, but these metrics may not adequately capture the quality of student tests. Mutation analysis, which measures how well tests detect small, artificial faults (mutants) introduced into the program, offers a potentially richer measure of test effectiveness. However, little is known about how …

Reverse Design Of Solid Rocket Grain Geometry, Yechan Kang

Master's Theses

The reverse design of solid rocket motors remains a challenging process due to the nonlinear relationship between the grain geometry and the internal ballistics. The reverse design process involves obtaining an optimal grain geometry given a target performance curve set by mission requirements, which is the inverse problem of the forward design. The purpose of this study is to assess the validity and implementation of neural network and simulated annealing algorithms to perform the reverse design process. A modified phase field model of the eikonal equation is derived to simulate the evolution of combustion surfaces over time, enabling burn back …

Generalized Detection Of Animal Behavior Using Accelerometers, Alexander J. Arrieta

Master's Theses

Animal mounted sensors are becoming increasingly used to passively monitor both domestic and wild animals. Advances in lightweight accelerometer and GPS technology have allowed many animals to be fitted with high accuracy sensors for extended periods of time. This leads to new opportunities to study animal behavior without direct observation. However, interpreting the raw data is difficult due to the high volume and missing context of the information. Machine learning techniques excel at extracting information from raw data streams and are excellent candidates for processing the sensor data. However, due to large variance in how different animals execute the same …

Educational Methods For Fostering Sustainability Competencies: A Toolkit For Integration Of Sustainable Education In Engineering, Clara Hallgarth

Master's Theses

This thesis proposes a framework to assist in developing educational activities targeting the longitudinal growth of sustainability skills, knowledge, and attitudes (cumulatively known as competencies), contextualized in a Toolkit for engineering educators. This framework is applied to three civil engineering classes in a teaching-oriented university to demonstrate potential applications and limitations. Sustainability integration in higher education institutions has been recognized as increasingly important as complex sustainability challenges continue to develop and arise. Sustainable education, a pedagogical framework and collection of educational methods, has been shown to produce students with the key sustainability competencies needed to address sustainability challenges and promote …

Abiotic Stress Impacts On Macrophomina Root Rot And Nano-Encapsulated Citrus Oils To Control Fruit And Foliar Pathogens Of Strawberry, Marina J. Gutierrez

Master's Theses

Disease remains one of the major constraints to the productivity and economic success of the California strawberry industry. The most important soilborne pathogen is Macrophomina phaseolina, causing Macrophomina root rot (MRR). The most economically significant airborne pathogens include Botrytis cinerea, causing Botrytis fruit rot (BFR), and Podosphaera aphanis, causing powdery mildew (PM).

Disease severity of MRR is highly dependent on environmental factors. Therefore, understanding which abiotic stressors contribute most to disease development is crucial for effective management. A two-year field experiment at Cal Poly, SLO (2024 and 2025) evaluated the effects of drought stress, two elevated chloride …