Digital Commons Network^™

Evaluating The Trojan Y Chromosome Strategy For The Removal Of Invasive Sacramento Pikeminnow From The Eel River, Ca, Alexander W. Juan

Cal Poly Humboldt theses and projects

The recent introduction and spread of Sacramento Pikeminnow (Ptychocheilus grandis) in Northern California’s Eel River Basin represents a significant threat and impediment to the recovery of several threatened native fish species. This study was undertaken to evaluate the Trojan Y Chromosome Strategy (TYC) for the extirpation of pikeminnow from the basin. TYC is a genetic biocontrol method that relies on the production and stocking of fish with YY sex chromosomes, which may be phenotypically male (YY male) or female (YY female). These YY fish produce all-male offspring when mating with their wild conspecifics and TYC can lead to …

The Potential For Competency-Based Teaching Methodologies To Increase Intervention Procedural Fidelity And Reduce Self-Reported Verbal Behavior Associated With Turnover In Behavior Technicians, Dean I. Shearer

Cal Poly Humboldt theses and projects

Within the field of applied behavior analysis, behavior technicians (staff who are supervised by behavioral analysists and provide direct services to clients) experience relatively high rates of turnover. It is possible that improved teaching methodologies which boost the efficacy of these staff may help reduce this turnover by reducing verbal behavior associated with burnout and improve perceptions of training and supervision. We compared intervention procedural fidelity and staff ratings of burnout, supervision, and satisfaction with training following a didactic training, a behavioral skills training, and after a month-long follow up. We found that when mastery criteria were set sufficiently high …

Interactions Between New Zealand Mud Snails (Potamopyrgus Antipodarum) And Toxic Cyanoabacteria (Anabaena) In Baduwa’T (Mad River), Humboldt County, California, Cecilia F. Kennelly

Cal Poly Humboldt theses and projects

Invasive species in freshwater systems are circulated around the globe, wreaking havoc on natural communities. The New Zealand mud snail (Potamopyrgus antipodarum) is a very successful aquatic invader that has established populations in freshwater streams, lakes, and rivers around the globe. The goal of this project was to evaluate the interactions of invasive New Zealand mud snails (NZMS) and toxic cyanobacteria Anabaena in the Mad River in Humboldt County, California. These two species of concern are found in similar habitats along the river, but their whether NZMS consume Anabaena or affect toxin production is unknown. First, I conducted …

Design Of A Mobile Lamprey Testing Facility And Analysis Of Hydraulic Conditions Under Experimental Treatments, Ernesto Silva

Cal Poly Humboldt theses and projects

Few studies have evaluated Pacific lamprey passage at small-scale barriers such as road crossings. The Hoopa Valley Tribe was awarded a grant with the primary objective of assessing lamprey's ability to traverse small-scale barriers. The Hoopa Valley Tribe collaborated with the Environmental Resources Engineering Department at Cal Poly Humboldt to design and implement a mobile testing facility. The testing facility was then used to identify and simulate experimental treatments that would assess lamprey’s ability to pass conditions that are known or expected to be challenging or outright barriers.

A dump trailer equipped with a hydraulic hoist with the ability to …

Drought's Lingering Shadow: Monitoring The Recovery Of Sagebrush Steppe Plant Communities After Four Years Of Experimental Drought, Francisco Jesus Chavez

Cal Poly Humboldt theses and projects

Droughts are projected to increase in frequency and intensity due to climate change, which will significantly impact terrestrial ecosystems. However, the response magnitude will vary depending on a system's resistance and resilience to drought. Furthermore, drought may elicit different responses within the hierarchical levels of plant communities (i.e., individual, community, or ecosystem responses). These effects can extend beyond the drought's duration as legacies persist and influence previously disturbed systems. I assessed whether hierarchical responses occurred within two different adjacent sagebrush plant communities, dominated by Artemisia arbuscula and Artemisia cana, during and after an experimental drought. I used nondestructive point frame …

Barn Owls Exert Top-Down Effects On The Abundance And Behavior Of Rodent Pests, Katherine C. Larson

Cal Poly Humboldt theses and projects

Predators can exert top-down effects on their prey by direct consumption, by imposing risk of predation, or a combination of both. However, empirical evidence for these effects is mixed and inconsistent. Barn owls in agriculture present a system with attributes that should, according to theory, lead to strong top-down effects, but research is limited and the distinction between effects on prey abundance and behavior remains unresolved. Understanding the top-down effect of predators on pests is a cornerstone of integrated pest management and important where barn owls may contribute to the control of rodents on farms. Vegetation can mediate the top-down …

Wholistic Healing: Challenges And Opportunities For The Church, Anna Galeniece

All Books

Edited by Anna M. Galeniece

Association Of Circulating Ketone Bodies With Cognitive Performance And Dementia In The Multi-Ethnic Study Of Atherosclerosis (Mesa), Parag Anilkumar Chevli, Christopher L Schaich, Alexis C Wood, Luqman A Tk, Anurag Mehta, Vardhmaan Jain, Margery Connelly, Suzanne Craft, Elad Shemesh, José A Luchsinger, Kathleen M Hayden, Bonnie Colleen Sachs, Timothy M Hughes, Michael D Shapiro

Faculty, Staff and Students Publications

Introduction

Growing interest centers on the association between circulating ketone bodies (KB) and cognitive function, notably in aging and neurodegenerative diseases.

Methods

Associations of plasma KB with incident dementia and cognitive performances were examined among Multi‐Ethnic Study of Atherosclerosis (MESA) participants. KB were measured using plasma samples collected following an overnight fasting at Exam 1 (2000–02) and detailed cognitive testing at Exam 5 (2010–2012, N = 4392), Exam 6 (2016–2018, N = 1838), and in MESA‐MIND (2019–2021, N = 2060).

Results

Over 16.7 years, a doubling of total KB was associated with a greater risk of incident dementia (hazard ratio …

Optimizing Immunogenicity And Product Presentation Of A Sars-Cov-2 Subunit Vaccine Composition: Effects Of Delivery Route, Heterologous Regimens With Self-Amplifying Rna Vaccines, And Lyophilization, William R Lykins, Jeroen Pollet, Jessica A White, Brian Keegan, Leroy Versteeg, Ulrich Strych, Wen-Hsiang Chen, Raodoh Mohamath, Gabi Ramer-Denisoff, Sierra Reed, Christina Renshaw, Samuel Beaver, Alana Gerhardt, Emily A Voigt, Mark A Tomai, Robert Sitrin, Robert K M Choy, Frederick J Cassels, Peter J Hotez, Maria Elena Bottazzi, Christopher B Fox

Faculty, Staff and Students Publications

INTRODUCTION: Dozens of vaccines have been approved or authorized internationally in response to the ongoing SARS-CoV-2 pandemic, covering a range of modalities and routes of delivery. For example, mucosal delivery of vaccines via the intranasal (i.n.) route has been shown to improve protective mucosal responses in comparison to intramuscular (i.m.) delivery. As we gain knowledge of the limitations of existing vaccines, it is of interest to understand if changes in product presentation or combinations of multiple vaccine modalities can further improve immunological outcomes.

METHODS: We investigated a commercial-stage SARS-CoV-2 receptor binding domain (RBD) antigen adjuvanted with a clinical-stage TLR-7/8 agonist …

Evaluating Friction Characteristics Of High Friction Surface Treatment Application Under Varied Polishing And Slippery Conditions, Alireza Roshan, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The frictional attributes of high friction surface treatment (HFST) play a crucial role in ensuring optimal traffic safety, particularly in wet weather conditions. Friction consists of two important components: adhesion and hysteresis. This research focuses on evaluating these essential factors in HFST using two different aggregates and two distinct sizes by considering various abrasion and polishing methods. To isolate these components for assessment, testing was carried out under various slippery conditions, including dry, wet with water, and wet with water + soap. The inclusion of liquid hand soap in the test procedure effectively minimized or even eliminated the adhesion component's …

Improving Aggregate Abrasion Resistance Prediction Via Micro-Deval Test Using Ensemble Machine Learning Techniques, Alireza Roshan, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Aggregate is the most extracted material from the world's mines and widely used in civil and construction projects. The Micro-Deval abrasion test (MD) is one of the most important tests that provides characteristics of crushed aggregates that show their resistance against mechanical abrasive factors such as repeated impact loading. The impact of various factors on abrasive resistance properties of aggregates has led researchers to seek correlations, often focusing on limited data samples, leading to reduced accuracy. This study employs machine learning (ML) methods to predict MD abrasion values, considering diverse aggregate properties. Various ensemble ML methods were applied, revealing the …

Cardiac Tamponade Secondary To Esophagopericardial Fistula, Caitlin T Perez-Stable, Lauren T Callaghan, Christopher K Wong, Jorge M Escobar, Mahboob Alam

Faculty, Staff and Students Publications

Esophagopericardial fistulas are an extremely rare structural defect that may arise from malignant or iatrogenic etiologies. This article reports the case of a patient with cardiac tamponade secondary to hydropneumopericardium from esophagopericardial fistula. Given the high morbidity and mortality of this condition, this article describes challenges in diagnosis and clinical decision-making to improve early identification and interdisciplinary management.

Best Practices For Point Of Care Ultrasound: An Interdisciplinary Expert Consensus, Brandon Oto, Robert Baeten, Leon Chen, Puja Dalal, Ria Dancel, Steven Fox, Carl William Lange Iv, Cameron Baston, Paul Bornemann, Siddharth Dugar, Andrew Goldsmith, Meghan Kelly Herbst, James N Kirkpatrick, Abhilash Koratala, Michael J Lanspa, Viveta Lobo, Jason T Nomura, Aliaksei Pustavoitau, Mourad H Senussi, Vincent L Sorrell, Frances Mae West, Aarti Sarwal

Faculty, Staff and Students Publications

Despite the growing use of point of care ultrasound (POCUS) in contemporary medical practice and the existence of clinical guidelines addressing its specific applications, there remains a lack of standardization and agreement on optimal practices for several areas of POCUS use. The Society of Point of Care Ultrasound (SPOCUS) formed a working group in 2022 to establish a set of recommended best practices for POCUS, applicable to clinicians regardless of their training, specialty, resource setting, or scope of practice. Using a three-round modified Delphi process, a multi-disciplinary panel of 22 POCUS experts based in the United States reached consensus on …

Electrostatic Sorting Of Lunar Regolith Simulants For Sustainable Resource Utilization: Modeling And Characterization Of Particle Size Distribution, Abdullah Al Moinee, Peter Bachle, Kyle Newport, William Schonberg, David Bayless, Jeffrey Smith, Daoru Han, Fateme Rezaei

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

In pursuit of sustainable resource utilization on the Moon, this paper delves into modeling and characterization of particle size distribution (PSD) of lunar regolith simulants in an electrostatic system. A prototype electrostatic sieve was built and tested with four sample simulants mirroring properties of lunar mare and highland regolith. An alternating four-phase (90 degrees, 180 degrees, 270 degrees, 360 degrees) traveling square-wave was utilized for particle-directed transport to model the diverse trajectories of the particles. Numerically, we scrutinized how the distribution functions of the particles are manifested as the electrostatic field propagates, with a focus on three distinct particle ranges …

Circular Economy Strategies For Decarbonization Of The Built Environment Value Chain Scope 3 Emissions: A Network Analysis, Radwa Eissa, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

With The Anticipated Growth In Construction Activities, Minimizing Value Chain Emissions, Including Those Attributed To Activities Beyond An Organization's Direct Control - Aka "Scope 3" Emissions, And Adopting Circular Economy (CE) Practices Have Become Critical To Attaining The 2050 Climate Goals. Extant Literature Lacks A Value-Chain-Comprehensive Set Of CE Strategies On One Hand, And An Analysis Of Their Actual Project Applications On The Other. This Research Aims To Build A Holistic Portfolio Of CE Actionable Strategies That Span Across The Entire Built Environment Value Chain, Analyzing Their Extent Of Implementation And Interlinkages Within The Literature Versus Actual Projects. To This …

Optimal Tilt-Wing Evtol Takeoff Trajectory Prediction Using Regression Generative Adversarial Networks, Shuan Tai Yeh, Xiaosong Du

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Electric vertical takeoff and landing (eVTOL) aircraft have attracted tremendous attention nowadays due to their flexible maneuverability, precise control, cost efficiency, and low noise. The optimal takeoff trajectory design is a key component of cost-effective and passenger-friendly eVTOL systems. However, conventional design optimization is typically computationally prohibitive due to the adoption of high-fidelity simulation models in an iterative manner. Machine learning (ML) allows rapid decision making; however, new ML surrogate modeling architectures and strategies are still desired to address large-scale problems. Therefore, we showcase a novel regression generative adversarial network (regGAN) surrogate for fast interactive optimal takeoff trajectory predictions of …

Ketogenic Diet In Treating Sepsis-Related Acquired Weakness: Is It Friend Or Foe?, Yanmei Miao, Leiyu Xie, Shaolin Chen, Xiaoming Zhang, Wenjie Liu, Peng Xie

Faculty, Staff and Students Publications

Background: Sepsis is the body's extreme response to an infection leading to organ dysfunction. Sepsis-related acquired weakness (SAW), a critical illness closely related to metabolic disorders, is characterized by generalized sepsis-induced skeletal muscle weakness, mainly manifesting as symmetrical atrophy of respiratory and limb muscles. Muscle accounts for 40% of the body's total mass and is one of the major sites of glucose and energy absorption. Diet affects skeletal muscle metabolism, which further impacts physiology and signaling pathways. The ketogenic diet (KD) is a high-fat, low-carbohydrate diet that has shown benefits in patients with a variety of neuromuscular disorders. Patients with …

Family Medicine Clerkship Directors' Remediation Of Faculty With Mistreatment Concerns: Results From A Cera Clerkship Directors Survey, William Y Huang, Yuanyuan Zhou, Jonnae Atkinson, Kenneth Barning, Misbah Keen, Joel Purkiss

Faculty, Staff and Students Publications

Introduction: Little is known about how frequently family medicine (FM) clerkship directors remediate faculty with student mistreatment concerns and their comfort level in performing the remediations. In this exploratory study, we investigated factors associated with the number of faculty remediated for student mistreatment concerns by FM clerkship directors and the comfort level of FM clerkship directors in remediating these faculty.

Methods: Data were collected as part of the 2022 Council of Academic Family Medicine Educational Research Alliance (CERA) survey of FM clerkship directors. FM clerkship directors provided responses on how frequently they remediated faculty with mistreatment concerns and their comfort …

A Wavegan Approach For Mmwave-Based Fanet Topology Optimization, Enas Odat, Hakim Ghazzai, Ahmad Alsharoa

Electrical and Computer Engineering Faculty Research & Creative Works

The integration of dynamic Flying Ad hoc Networks (FANETs) and millimeter Wave (mmWave) technology can offer a promising solution for numerous data-intensive applications, as it enables the establishment of a robust flying infrastructure with significant data transmission capabilities. However, to enable effective mmWave communication within this dynamic network, it is essential to precisely align the steerable antennas mounted on Unmanned Aerial Vehicles (UAVs) with their corresponding peer units. Therefore, it is important to design a novel approach that can quickly determine an optimized alignment and network topology. In this paper, we propose a Generative Adversarial Network (GAN)-based approach, called WaveGAN, …

Ultra-Fast Annealing Improves Snr And Long-Term Stability Of A Highly Multiplexed Line-By-Line Fbg Array Inscribed By Femtosecond Laser In A Coreless Fiber For Extreme-Temperature Applications, Farhan Mumtaz, Bohong Zhang, Jeffrey D. Smith, Ronald J. O'Malley, Rex E. Gerald, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This study reports the fabrication of an 4th-order line-by-line Fiber Bragg Gratings (FBG) array using femtosecond laser inscription within a highly multimode coreless optical fiber, with a particular focus on achieving substantial multiplexing capabilities. An ultra-fast annealing procedure is employed, resulting in an impressive enhancement of the FBG sensor's fringe visibility by approximately 13 dB, signifying a notable improvement of approximately ~4 dB. This substantial enhancement contributes to the long-term stability and performance of the multiplexed FBG array in extreme temperature conditions. The systematic fabrication approach employed for the multiplexed FBG array guarantees a high signal-to-noise ratio (SNR) for each …

Modified Thermographic Signal-To-Noise Ratio For Active Microwave Thermography, Logan M. Wilcox, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

Active microwave thermography (AMT) is an active thermographic nondestructive testing and evaluation (NDT&E) technique that utilizes an active electromagnetic-based excitation. This excitation is achieved through a radiating antenna and is spatially nonuniform in nature. As such, the electromagnetically-induced heat is also spatially nonuniform, as it is directly related to the radiated power density incident on the specimen under test (SUT). After excitation, infrared measurements on the surface of the SUT are completed using an infrared camera. Common post processing techniques including thermal contrast (TC) and signal-to-noise ratio (SNR) are often applied to these measured results. As these post processing techniques …

Virtual Energy, Joel B. Eisen, Felix Mormann, Heather E. Payne

Faculty Scholarship

From employment to education, many areas of our daily lives have gone virtual, including the virtual workplace and virtual classes. By comparison, the way we generate, deliver, and consume electricity is an anachronism. And the electric industry’s outdated business model and regulatory framework are failing. For the last century-and-a-half, we have relied on ever larger power plants to generate the electricity we consume, often hundreds of miles away from the point of production. But the outsized carbon footprint of these power plants and the need to transmit their output over long distances threaten the electric grid’s reliability, affordability, and long-term …

Research Considerations For Prospective Studies Of Patients With Coma And Disorders Of Consciousness, Lorenzo Tinti, Thomas Lawson, Erika Molteni, Daniel Kondziella, Verena Rass, Tarek Sharshar, Yelena G Bodien, Joseph T Giacino, Stephan A Mayer, Moshgan Amiri, Susanne Muehlschlegel, Chethan P Venkatasubba Rao, Paul M Vespa, David K Menon, Giuseppe Citerio, Raimund Helbok, Molly Mcnett

Faculty, Staff and Students Publications

Disorders of consciousness are neurological conditions characterized by impaired arousal and awareness of self and environment. Behavioural responses are absent or are present but fluctuate. Disorders of consciousness are commonly encountered as a consequence of both acute and chronic brain injuries, yet reliable epidemiological estimates would require inclusive, operational definitions of the concept, as well as wider knowledge dissemination among involved professionals. Whereas several manifestations have been described, including coma, vegetative state/unresponsive wakefulness syndrome and minimally conscious state, a comprehensive neurobiological definition for disorders of consciousness is still lacking. The scientific literature is primarily observational, and studies-specific aetiologies lead to …

Optimal Trajectory Tracking For Uncertain Linear Discrete-Time Systems Using Time-Varying Q-Learning, Maxwell Geiger, Vignesh Narayanan, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This Article Introduces a Novel Optimal Trajectory Tracking Control Scheme Designed for Uncertain Linear Discrete-Time (DT) Systems. in Contrast to Traditional Tracking Control Methods, Our Approach Removes the Requirement for the Reference Trajectory to Align with the Generator Dynamics of an Autonomous Dynamical System. Moreover, It Does Not Demand the Complete Desired Trajectory to Be Known in Advance, Whether through the Generator Model or Any Other Means. Instead, Our Approach Can Dynamically Incorporate Segments (Finite Horizons) of Reference Trajectories and Autonomously Learn an Optimal Control Policy to Track Them in Real Time. to Achieve This, We Address the Tracking Problem …

Prompt, Accurate, And Noncontact Material Identification Using A Single Microwave Sensor With Machine Learning Analysis, Chen Zhu, Osamah Alsalman, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

In This Article, a Novel Approach to Microwave Sensors is Proposed and Demonstrated that Allows for Prompt, Accurate, and Noncontact Material Identification Even with Arbitrary Lift-Off Distances between the Sensor and the Material under Test (MUT). a Multilayer Perceptron (MLP) is Trained to Directly Learn the Relation of the Measured Reflection Spectra of a Homemade Open-Ended Coaxial Cable Resonator Probe with Respect to Different MUTs and Then Achieve One-To-One Mapping between a Measured Spectrum and the MUT. as a Proof-Of-Concept Demonstration, the Performance of the MLP Model is Tested using Easily Accessible Materials, Including Wood, Glass, Water, and Metal. Reflection …

Instantaneous Current And Average Power Flow Characterization Of A Dc-Dc-Dc Triple Active Bridge Converter, Jonathan Saelens, Lauryn Morris, Oroghene Oboreh-Snapps, Arnold Fernandes, Praneeth Uddarraju, Sophia A. Strathman, Jonathan W. Kimball

Electrical and Computer Engineering Faculty Research & Creative Works

The Triple Active Bridge (TAB) is a Three-Port Power Converter that Facilitates Bi-Directional Power Flow and Provides Galvanic Isolation, Making It a Subject of Significant Research Attention. This is Attributed to its Diverse Applications in High-Frequency DC-DC Conversion, Electric Vehicles, Renewable Energy Integration, and Micro-Grids. Controlling the System at Run-Time Involves Modification of the Two Phase-Shift Parameters between Respective Bridges. by Analyzing the Fundamental Converter Operating Equations, Future Control Designers Can Use This Framework to Optimize Control Schemes to Mitigate the Under-Determined Nature of the TAB Converter. in This Paper, We Elucidate the Foundational Operational Principles of the TAB and …

Multilayer Ceramic Capacitor Vibration Source Model Library Development, Yifan Ding, Ming Feng Xue, Jianmin Zhang, Xin Hua, Benjamin Leung, Eric A. Macintosh, Chulsoon Hwang

Electrical and Computer Engineering Faculty Research & Creative Works

When a Multilayer Ceramic Capacitor (MLCC) is Soldered on a Printed Circuit Board (PCB), the Capacitor Deformation Generates a Force on the PCB, Which Serves as a Source to Excite PCB Vibration and Generate Unwanted Acoustic Noise. a MLCC Can Be Used under Any Loading Conditions as Long as the Power Supply Voltage Remains Below its Rated Voltage; Thus, the MLCC Source Mode Can Be Extremely Complicated Because of Different Combinations Including Direct Current Voltage Levels, Alternating Current Noise Amplitudes, and Related Frequencies. When the Power Rail is under Different Loading Conditions, the PCB Vibration Amplitude Can Differ; However, the …

Does Intellectual Property Promote Or Hinder Sustainability? The Case Of Upcycling, Irene Calboli, Siroos Tanner

Faculty Scholarship

This book chapter explores upcycling and its intricate legal and ethical challenges, addressing the challenges upcycling faces from an IP perspective and highlighting the defenses potentially available to justify the practice.

Segmented Fiber Optic Sensors Based On Hybrid Microwave-Photonic Interrogation, Wassana Naku, Osamah Alsalman, Jie Huang, Chen Zhu

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we propose and demonstrate a novel concept of segmented fiber optic sensors by integrating the fiber Bragg grating (FBG) reflector modality and a hybrid interrogation technique enabled by microwave photonics. As a proof of concept, a radiofrequency Fabry-Perot interferometer (FPI) based on an optical fiber with two FBGs as the two reflectors of the Fabry-Perot (FP) cavity is constructed. By measuring the frequency response of the FPI device followed by a joint-time-frequency-domain analysis, the interferogram of the FPI in the microwave domain and the time-domain signal of the FBGs can be unambiguously reconstructed. Thus, the two elements …

A Novel Physics-Assisted Genetic Algorithm For Decoupling Capacitor Optimization, Li Jiang, Ling Zhang, Shurun Tan, Da Li, Chulsoon Hwang, Jun Fan, Er Ping Li

Electrical and Computer Engineering Faculty Research & Creative Works

This article proposes a new physics-assisted genetic algorithm (PAGA) for decoupling capacitor (decap) optimization in power distribution networks (PDNs), which is a highly efficient approach to minimizing the number of decaps within an enormous search space. In the proposed PAGA method, the priority of the decap ports is first determined based on their physical loop inductances. Then, an initial solution is quickly obtained by placing decaps sequentially on the port with the highest priority. Subsequently, a GA with prior physical knowledge is developed to find better decap solutions progressively. A port removal scheme that eliminates the low-priority ports and a …