Digital Commons Network^™

Foliar Water Uptake Mitigation Of Urban Drought Stress, Rory Price, Samantha Hartzell Dr., Lauren Lowman Dr., Sybil Gotsch Dr.

Urban Ecosystem Research Consortium of Portland/Vancouver

Foliar water uptake (FWU) is a process trees use to uptake water vapor into their leaves, which alleviates water stress in plants, potentially mitigating overall urban landscape water stress. This study aims to model FWU of water vapor through the leaf stomata and cuticle, assuming both saturated and unsaturated leaf internal air space, to understand the impact FWU can have on mitigating drought and heat crises in urban environments. FWU is crucial for tree survival in drought periods, leading to decreases in urban temperatures, shown using leaf temperature modeling.

Rates of foliar water uptake are assessed using a soil-plant-atmosphere continuum …

Gait Characteristics In People With Friedreich Ataxia: Daily Life Versus Clinic Measures, Hannah L. Casey, Vrutangkumar V. Shah, Daniel Muzyka, James Mcnames, Mahmoud El-Gohary, Kristen Sowalsky, Delaram Safarpour, Patricia Carlson-Kuhta, Christian Rummey, Fay B. Horak, Christopher M. Gomez

Electrical and Computer Engineering Faculty Publications and Presentations

Gait assessments in a clinical setting may not accurately reflect mobility in everyday life. To better understand gait during daily life, we compared measures that discriminated Friedreich ataxia (FRDA) from healthy control (HC) subjects in prescribed clinic tests and free, daily-life monitoring.MethodsWe recruited 9 people with FRDA (median age: 20, IQR [12, 48] years). A comparative healthy control (HC) subject cohort of 9 was sampled using propensity matching on age (median age: 18 [13, 22] years). Subjects wore 3 inertial sensors (one each foot and lower back) in the laboratory during a 2-min walk at a natural pace, followed by …

Financial Metrics As Predictors Of Financial Vulnerability And Nonprofit Failure, Yossi Haimberg

Dissertations and Theses

Studying nonprofit's risk factors for financial vulnerability and possible demise is important because of the negative social consequences for both the failed organization and its stockholders. Financial vulnerability is a concern shared by all nonprofit's stakeholders as poor financial health affects nonprofit's ability to fulfill its mission, sustain its operations, and in many cases may result in a nonprofit demise. Advance knowledge on financial vulnerability has significant implications for nonprofit's leaders to develop corrective strategies to prevent failure.

Nonprofit scholars such as Tuckman and Chang, Greenlee, Hager, and Searing have contributed notable benchmarks in the field of nonprofit vulnerability, by …

Adaptive Resolution Of Fine Scales In Modes Of Microstructured Optical Fibers, Jay Gopalakrishnan, Jacob Grosek, Gabriel Pinochet-Soto, Pieter Vandenberge

Mathematics and Statistics Faculty Publications and Presentations

An adaptive algorithm for computing eigenmodes and propagation constants of optical fibers is proposed. The algorithm is built using a dual-weighted residual error estimator. The residuals are based on the eigensystem for leaky hybrid modes obtained from Maxwell equations truncated to a finite domain after a transformation by a perfectly matched layer. The adaptive algorithm is then applied to compute practically interesting modes for multiple fiber microstructures. Emerging microstructured optical fibers are characterized by complex geometrical features in their transverse cross section. Their leaky modes, useful for confining and propagating light in their cores, often exhibit fine-scale features. The adaptive …

Working Paper No. 88, Algorithms And Thorstein Veblen’S ‘Machine Process’, Eunji Jang

Working Papers in Economics

This inquiry seeks to establish that the ‘machine process’ which Thorstein Veblen introduced into the Economics literature back in 1904, exhibits similarities to algorithms that are readily found in contemporary times--more than one hundred years on. In The Theory of Business Enterprise [1904] (2005), Veblen defines the machine process as a system that prioritizes efficiency, standardization, and automation. Relatedly, this inquiry argues that algorithms are based upon similar principles and exhibit similar tendencies that yield similar outcomes. Additionally, this inquiry explores the institutional role of algorithms, elaborating upon how their increasing prevalence and solidification might serve to enhance efficiency in …

Exploring The Effect Of The Architecture Morphology On Urban Ventilation At Block Scale Using Cfd-Gis And Random Forest Combined Method, Bin Guo, Miaoyi Chen, Xiaowei Zhu, Zheng Wang, Lu Li, Lin Pei, Hailong Chen, Puhao Chen, Tengyue Guo

Mechanical and Materials Engineering Faculty Publications and Presentations

Urban ventilation plays a crucial role in dispersing air pollutants and mitigating the urban heat island effect. As a key factor, urban architectural morphology can significantly impact the wind field and ventilation efficiency. This study combines Computational Fluid Dynamics (CFD), Geographic Information System (GIS), and Random Forest (RF) methods to investigate the influence of architectural morphology on urban ventilation at the block scale. First, Remote Sensing (RS) and GIS were used to extract architectural morphology parameters. Second, CFD simulations, guided by in-situ observations, were conducted to model the wind field, with the Standard k-ɛ model validated as the optimal choice. …

Active Transportation Data Fusion: Incorporating Big Data To Estimate Volumes, Joeseph Broach, Sirisha Kothuri, Nathan Mcneil

PSU Transportation Seminars

Planners and decision-makers have increasingly voiced a need for network-wide estimates of bicycling and walking. Such volume estimates have for decades informed motorized planning and analysis but have only recently become feasible for non-motorized travel modes. Recently, new sources of activity data have emerged derived primarily from GPS-based smartphone location data, both app-based and passively collected. The project team has led several research projects aimed at evaluating and integrating the emerging sources with conventional demand data, including observed bicycle and pedestrian counts, to assess the value added of various emerging sources and the potential for estimating network-wide volumes. This presentation …

Neural Visual Synthesis For Graphics, 4d Gaussians And Videos, Zhan Li

Dissertations and Theses

Efficient visual synthesis has played an indirect yet important role in the development of neural networks. Graphics processing units (GPUs) were initially designed for visual synthesis tasks such as rendering graphics. However, their parallel computing capabilities later made GPUs the ideal hardware for training neural networks. Since neural networks have greatly benefited from GPUs, a compelling question arises: How can neural networks, in turn, improve efficient visual synthesis?

Existing visual synthesis methods still require improvement for higher efficiency. For example, Monte Carlo rendering takes over 15 minutes to generate a megapixel frame at a high-quality setting on a GPU, as …

Special Delivery: Special District Use Of Collaboration To Solve Challenges, Kelly Irene Fahl Sherbo

Dissertations and Theses

As the special district sector continues to increase in number across the U.S., understanding their role in public governance increases in value both to practitioners and academia alike. The state of the academic literature on special districts does not yet reflect the large size and importance of the sector and has been severely limited by available data, mainly coming from the U.S. Census Bureau. Existing research has focused on broad descriptions of the field of special districts, some studies focus on policy and political effects; but scant research analyzes behavior within and among special districts, particularly with their public entity …

Next Arrival And Destination Prediction Via Spatiotemporal Embedding With Urban Geography And Human Mobility Data, Pengjiang Li, Zaitian Wang, Xinhao Zhang, Pengfei Wang, Kunpeng Liu

Computer Science Faculty Publications and Presentations

With the development of transportation networks, countless trajectory data are accumulated, and understanding human mobility from traffic data could be helpful for smart cities, urban computing, and urban planning. Extracting valuable insights from traffic data, such as taxi trajectories, can significantly improve residents’ daily lives. There are many studies on spatiotemporal data mining. As we know, arrival prediction or regional function detection encompasses important tasks for traffic management and urban planning. However, trajectory data are often mutilated because of personal privacy and hardware limitations, i.e., we usually can only obtain partial trajectory information. In this paper, we develop an embedding …

Pdxscholar Multi-Year Annual Report (2022-2024), Julia Stone, Sherry Buchanan, Bertrand Robinson, Stacey Schlatter, Carolee Harrison

Library Faculty and Staff Publications and Presentations

We are excited to share our 2022-2024 PDXScholar Multi-Year Annual Report. This multi-year report covers the period between January 1, 2022 and December 31, 2024. PDXScholar, Portland State University's institutional repository, provides access to the scholarly and creative output of PSU faculty, students, and staff. In this report, we aim to highlight PDXScholar’s growth and impact through readership data, new content and collections, and feedback from our users.

Combining Passive And Active Ultrasonic Stress Wave Monitoring For The Characterization Of The Early-Age Properties Of A Uhpfrc Beam, Numa Bertola, Thomas Schumacher, Ernst Niederleithinger, Eugen Bruhwiler

Civil and Environmental Engineering Faculty Publications and Presentations

This article focuses on the characterization of the early-age properties of Ultra-High-Performance Fiber-Reinforced Cementitious Composite (UHPFRC), which is becoming popular for designing lightweight and durable structures. Due to the large proportion of cement in the mix, the hardening of UHPFRC is significantly faster than conventional concrete. Therefore, the development of UHPFRC properties, such as the elastic modulus, is difficult to monitor as it happens while elements are within the formwork. For this reason, the hydration process of UHPFRC elements is not fully understood yet. A combined passive (or acoustic emission) and active ultrasonic stress wave monitoring approach has the potential …

Realizing Intrinsically Ultralow And Glass-Like Thermal Transport Via Chemical Bonding Engineering, Zhonghao Xia, Xingchen Shen, Jun Zhou, Yuling Huang, Yali Yang, Jiangang He, Yi Xia

Mechanical and Materials Engineering Faculty Publications and Presentations

Crystals exhibiting glass-like and low lattice thermal conductivity ( ) are not only scientifically intriguing but also practically valuable in various applications, including thermal barrier coatings, thermoelectric energy conversion, and thermal management. However, such unusual are typically observed only in compounds containing heavy elements, with large unit cells, or at high temperatures. In this study, chemical bonding principles are utilized to weaken the Ag–Ag bonds and enhance lattice anharmonicity. The incorporation of a chalcogen anion as a bridge ligand is proposed to facilitate phonon rattling in Ag6-octahedron-based compounds. Guided by this design strategy, five Ag6 octahedron-based compounds, AAg3X2 (A = …

Layout-Aware Quantum Circuitry And Algorithmic Extensions To Grover's Algorithm, Ali Al-Bayaty

Dissertations and Theses

Lov K. Grover introduced, in 1996, Grover's algorithm as a quantum search algorithm to find all solutions for quantum oracles representing classical problems. My research observed that the Grover diffusion operator of Grover's algorithm gives wrong solutions when Boolean oracles are designed in some logical structures. Therefore, I invented the new "controlled-diffusion operator" for Boolean oracles as a new approach for Grover's algorithm that always correctly solves the problem of Grover's algorithm.

Another important problem in quantum computing is designing reliable and cost-effective quantum gates using reversible binary logic. In classical logic design, the stage of logic design can be …

Model Explanations For Gender And Ethnicity Bias Mitigation In Ai-Generated Narratives, Martha Otisi Dimgba

Dissertations and Theses

Large Language Models (LLMs) are increasingly utilized in diverse applications, ranging from professional content creation to decision-making systems. However, their outputs often amplify the biases present in their training data, perpetuating stereotypes and reinforcing societal inequities, particularly regarding gender and ethnicity. Such biases can cause tangible harm, especially for underrepresented groups, and require awareness and effective mitigation strategies.

This work explores gender and ethnicity representation in narratives created by generative AI describing 25 occupational fields defined by the U.S. Bureau of Labor Statistics. We examine three large language models (LLMs)--Llama 3.1 70B Instruct, Claude 3.5 Sonnet, and GPT 4.0 Turbo. …

Faculty Senate Monthly Packet March 2025, Portland State University Faculty Senate

Faculty Senate Monthly Packets

The March monthly packet includes the agenda, appendices, and the Faculty Senate minutes and attachments given for the meeting held March 3, 2025.

Quantum Finite Automaton Using Ternary Rotation Quantum Gates And Chrestenson Family Quantum Gates, Yuchen Huang, Marek Perkowski, Xiaoyu Song, John M. Acken

Electrical and Computer Engineering Faculty Publications and Presentations

Quantum automata can solve certain problems with a smaller state space than classical automata. We developed a quantum finite automaton using ternary rotation quantum gates and the Chrestenson family of ternary quantum gates. The main idea of this paper is to show how to combine rotation ternary quantum circuit-based QuantumFinite Automaton and quantum reversible circuit-based Deterministic Finite Automaton to build a more powerful machine. The combined machine can enable more complex language and pattern recognition. The developed quantum finite automaton and resulting combined machine can be used for robotics applications such as language, gesture, and motion recognition.

Plural Water Narratives: An Environmental Justice Lens On A Systematic Review Of Q-Methodology Water Research, Melissa Haeffner, Alida Cantor, Janet Cowal, Andrea Bryant, Darius Mani Yaw, Kinna Je Palacios, Daniela Serna, Bryce Sprauer, Abigail Tran-Gruver

Environmental Science and Management Faculty Publications and Presentations

Environmental justice research has shown that people's experiences and perceptions of water differ because systematic inequalities shape the extent to which people access clean water and are exposed to water hazards. Q‐methodology is one technique that has been used to aggregate multifaceted subjective narratives and understand different perspectives on a topic. In this paper, we systematically review 77 case study articles applying Q‐methodology to water‐related topics, to inventory how people perceive their relationships with water. We create a classification system based on environmental justice theory to examine (1) distributive justice issues around alternative water sources and agricultural and urban water …

Assessing The Impact Of Anti-Dei Legislation In Florida: An Exploratory Study, Diane L. Odeh, Jan-Martijn Meij

Public Administration Faculty Publications and Presentations

The aim of this study determines what influence, if any, legislation aimed at censoring discussions and practices related to equity has on the ethical decision-making behavior of staff and faculty at a regional university within the state of Florida. Using inductive analysis, themes related to how one navigates profession-based ethics, political pressures, and personal ethics in higher education work will be evaluated. This contributes to the field of administrative ethics by exploring how ideology-based political pressure and direct legislative intervention on the bureaucracy impacts the practice of promoting social equity within public administration; and how an individual balances competing ethical …

Impact Of Roughness Spanwise Wavelength On Secondary Flow Rearrangement, Jianzhi Yang, Xiang I. A. Yang, Luoqin Liu, Jian Zhu, Xiaowei Zhu

Mechanical and Materials Engineering Faculty Publications and Presentations

Spanwise heterogeneity in surface roughness generates secondary mean flows in a rough-wall turbulent boundary layer. This study investigates the influence of roughness spanwise wavelength on the arrangement of these secondary flows using direct numerical simulation (DNS). We systematically vary the spanwise wavelength, δS/δ⁠, from ππ/16 to π2π⁠, while maintaining constant roughness height and surface coverage density. Here, S represents the roughness spanwise wavelength, and δδ denotes the outer length scale, which in this case is the half-channel height. Secondary flows are observed in all DNS cases, but their configurations depend on the spanwise wavelength. Specifically, small wavelengths result in low-momentum …

Life Safety In The Reliability-Based Design And Assessment Of Structures, Mahesh Pandey, Celeste Viljoen, Andrew Way, Katharina Fischer, Miroslav Sykora, Dimitris Diamantidis, Raphael D. J. M. Steenbergen, Niels Lind, Dan M. Frangopol, David Y. Yang, Multiple Additional Authors

Civil and Environmental Engineering Faculty Publications and Presentations

We review the developments in life safety and the incorporation thereof in the design and assessment of structures over the last 50 years. Various measures of life safety are presented that have been developed according to the marginal life saving cost principle based on individual, societal and economic considerations. Target probabilities of failure, or target reliabilities, are central to modern structural design and assessment. These are derived either through back-calibration to existing practice or through life cycle cost minimisation, both of which yield comparable safety levels, and are underpinned by lower bounds from life safety. Life cycle cost minimisation is …

Scshm Benchmark Study On Bridge In-Service Structural Monitoring, Maria Pina Limongelli, Doug Thomson, Screenevas Alampalli, Aftab Mufti, Thomas Schumacher, Luca Martinelli, Othmane Lasri, Harry Shenton, Genda Chen, Mohammad Noori, Multiple Additional Authors

Civil and Environmental Engineering Faculty Publications and Presentations

The mission of the Society of Civil Structural Health Monitoring (SCSHM, previously known as ISHMII) is to advance the understanding and application of structural monitoring methodologies for the management of civil infrastructure systems. To enable comparative and contrasting studies of various monitoring issues and technologies, the SCSHM Committee on Data-Enhanced Infrastructures Management (DEIMC) identified the need for benchmark problems in the areas of bridge and building structural monitoring. This article reports and briefly discusses the first benchmark study on in-service structural monitoring of bridges that was developed in collaboration with the University of Manitoba, and presents the structure details, study …

Advances In Theory And Computational Methods For Next-Generation Thermoelectric Materials, Junsoo Park, Alex M. Ganose, Yi Xia

Mechanical and Materials Engineering Faculty Publications and Presentations

This is a review of theoretical and methodological development over the past decade pertaining to computational characterization of thermoelectric materials from first principles. Primary focus is on electronic and thermal transport in solids. Particular attention is given to the relationships between the various methods in terms of the theoretical hierarchy as well as the tradeoff of physical accuracy and computational efficiency of each. Further covered are up-and-coming methods for modeling defect formation and dopability, keys to realizing a material's thermoelectric potential. We present and discuss all these methods in close connection with parallel developments in high-throughput infrastructure and code implementation …

Becoming A Learner: An Autoethnography, Joshua Dickinson

Dissertations and Theses

It is well understood that attitudes toward language learning impact outcomes. This thesis uses autoethnography to explore the author's experiences learning German, in-class and independently, examining the interplay between motivation, attitudes, and the learning environment. I analyze personal journals and notes, employing graphic storytelling to illustrate their emotional journey. This paper draws upon existing literature on second language acquisition, particularly focusing on Dörnyei's L2 Motivational Self System and Ushioda's person-in-context approach. The study reveals how personal beliefs, self-doubt, and the limitations of traditional classroom settings impacted my motivation and ultimately, how reflection facilitated a renewed commitment to learning. In conclusion, …

Preventing Carbon Emissions With Imaging-Based Civil Infrastructure Assessment And Evaluation, Thomas Schumacher

PSU Transportation Seminars

For concrete bridges without existing plans, simplified and highly conservative load rating (structural evaluation) methods may be used, which can lead to unnecessary load restrictions, unjustifiable strengthening, or in the worst case, preventable replacements. Avoiding these outcomes not only saves money but it prevents carbon emissions from longer travel and construction activities and resources associated with replacement.

This presentation discusses a case study of a prestressed concrete bridge that required a load rating, and for which no plans existed. Imaging and image fusion using radar and ultrasonic measurements taken from the top and bottom of the slab were performed to …

A Critical Appraisal Of Poverty In The Context Of Nature-Based Communities: Selected Cases From The Philippines, Carla Edith Gonzales Jimena

Dissertations and Theses

The Philippines is considered one of the wealthiest countries in both Southeast Asia and the world when measured by biodiversity, mineral resources and natural resources. It is also one of the most highly mineralized countries on earth. However, despite these natural endowments, when measured by established economic and human development indices the Philippines remains poor. Using critical perspectives derived from Marxist tradition, William Chambliss' theory of law and its dialectical nature, Immanuel Wallerstein's World Systems Theory, and Fred Block's structural mechanism of the state, this study aimed to critically appraise the persistence of poverty in nature-based communities in the Philippines. …

Displaced: An Ethnography Of Language And Identity Loss, Ariel Caroline Wilsey-Gopp

Dissertations and Theses

Through ethnography and personal narrative, I explore the language and identity loss of one person, my father, in order to understand the complex issues surrounding the effects of symbolic and structural violence on language and identity development. Through personal narrative, fieldwork, and interviews, I tell the story of one person, born in wartime during Nazi occupied Serbia, and follow the guiding questions: how does language get lost and what are the effects? Drawing on methodology set forth by empirical ethnographical work as well as more recent theory around epigenetics and trauma, my research synthesizes into focus three pillars of understanding …

Faculty Senate Monthly Packet February 2025, Portland State University Faculty Senate

Faculty Senate Monthly Packets

The February 3, 2025 monthly packet includes the agenda, appendices, and the Faculty Senate minutes and attachments from the meeting held February 3, 2025.

Phase Of The Seabed Frequency-Domain Reflection Coefficient: Measurements And Modeling, Charles W. Holland

Electrical and Computer Engineering Faculty Publications and Presentations

The phase of the seabed frequency-domain reflection coefficient potentially contains valuable information on the geoacoustic properties in a layered/refracting seabed. However, heretofore, the phase has not been exploited. Measurements of phase are presented in an area of thick mud at the New England Mud Patch. In addition, a model is presented along with the modeling results. While this is only a first step towards understanding the potential value of exploiting the phase, it seems clear that in some instances, the phase not only contains valuable geoacoustic information, but carries a higher information content than the magnitude.

Introduction To The Special Issue On Verification And Validation Of Source And Propagation Models For Underwater Sounda), Kathleen J. Vigness-Raposa, Klaus Lucke, Michael A. Ainslie, Michele B. Halvorsen, Christ A. F. De Jong, Stanley J. Labak, Martin Siderius

Electrical and Computer Engineering Faculty Publications and Presentations

This joint Special Issue of JASA and JASA Express Letters focuses on underwater sound source and propagation modelling, both of ambient sound as well as sources of relevance to possible effects of sound on aquatic life, and corresponding acoustical metrics. Combining information on the sound field with information on a dose-effect relationship enables estimation of the potential effects. The Special Issue presents a collection of eighteen articles on the following topics: (1) verification of source and propagation models, (2) validation of source and propagation models, and (3) bioacoustical metrics for assessment of the risk of environmental effects. This special issue …