Digital Commons Network^™

Building On Strengths: A Collaborative, Asset-Focused Approach To Teaching Critical Information Literacy Skills, Rebecca B. Penrose, Kristi J. Chavez

Communications in Information Literacy

This article showcases an instructor–librarian collaborative model for teaching critical information literacy (CIL) skills in a higher education course by incorporating interactive workshops into a sequence of required course assignments. Using an asset-focused design, this assignment sequence allows students to first demonstrate their existing research strategies and then evaluate those strategies during workshop activities, applying the CIL principles they are learning. In this way, the approach recognizes students’ existing strengths and builds upon them, while emphasizing self-reflection opportunities and an intentional research focus on diversity, equity, inclusion, and representation. Results from our one-year study are also highlighted. The suggested instructional …

The Role Of Christianity In Shaping Agrarian Policies And Environmental Interactions: A Comparative Analysis Of The Uk And The Netherlands, Grace N. Brimble

University Honors Theses

This thesis explores the enduring influence of Protestant Christianity on agrarian practices and environmental policies in the UK and the Netherlands, focusing on how historical religious values shape modern ecological and political landscapes. Despite increasing secularism, Protestant ethics--emphasising stewardship, diligence, and moral responsibility--persist culturally, influencing debates on sustainability, rural identity, and land use. Using case studies such as nitrogen policy protests in the Netherlands and post-Brexit agricultural transitions in the UK, this analysis highlights the symbolic role of Christian values in framing resistance and adaptation to contemporary challenges. The research combines discourse analysis and ethnographic perspectives to uncover the interplay …

Mapping Out Information Literacy: A Textbook Review, Alyssa Russo

Communications in Information Literacy

This narrative review examines the thematic content and evolution of information literacy textbooks published between 2005 and 2022. Analyzing sixteen textbooks, it explores two themes: the research process and conceptual foundations of information literacy. The research process theme highlights the procedural aspects of conducting library research, delineating the steps from topic selection to presentation. The conceptual foundations of IL theme reveals a discrepancy in how textbooks address the broader conceptual underpinnings of information literacy, particularly the context of a rapidly changing information society. This review highlights the focus on practical skills and the relative lack of discussions on broader contexts …

Collaborative Robotics: Application Of Delphi Method, Jean-Marc Salotti, Ephraim Suhir

Mechanical and Materials Engineering Faculty Publications and Presentations

In the domain of collaborative robotics, it is often needed to make complex multiparametric choices or assessments that combine heterogeneous criteria, such as task performance, reliability, safety, and ergonomics. The Delphi method, a process of arriving at group consensus by providing experts with rounds of questionnaires, as well as the group response before each subsequent round, can be applied to solve this type of problems. The following Delphi method efforts are addressed in our analysis with application to finding appropriate criteria and their relative weights for the evaluation of the teleoperation task of a robotic platform: (1) Contribution of experts; …

Evaluating The Multi-Valued Bartlett Processor, Daniel Robert Frister

Dissertations and Theses

A variety of approaches exist to track targets in the ocean using acoustic sensors, and the complex mix of source characteristics, environmental effects, and sensor array limitations can make the selection of an appropriate algorithm challenging. This thesis models in simulation a recently proposed signal processing method that is intended for use with a large rectangular sensor array to track the bearings of multiple sources. The method, referred to as the Multi-Valued Bartlett (MVB) processor, is an eigenvector beamformer that leverages the capabilities of large arrays to locate in bearing multiple sources simultaneously. The analysis of this thesis details the …

How Does Herbicide Resistance Change Farmer’S Weed Management Decisions? Evidence From The Roundup Ready Experiment, Huichun Sun, Terrance Hurley, George B. Frisvold, Katherine Dentzman, David Ervin, Wesley Everman, Jeffrey Gunsolus, Jason Norsworthy, Micheal Owen

Environmental Science and Management Faculty Publications and Presentations

Adoption of diverse weed management practices is viewed as essential for slowing the spread of herbicide-resistant (HR) weeds. Yet, adoption of diverse tactics has remained low, while there has been explosive growth of resistant weeds. This study analyzes U.S.-farm-level data to identify factors affecting adoption of diverse weed management practices. This study uses directed acyclic graphs (DAGs) to consider how practice adoption is influenced by different causal pathways between farmer and farm characteristics and farmer awareness of and concern over HR weeds. This study then uses multiple regression analysis to estimate the direct and indirect pathways that influence practice adoption. …

Evaluating Diy Air Cleaner Variability And Potential For Post-Construction Emission Of Aromatic Vocs During Wildfire Events, Brett W. Stinson, Amity L. Deters, Elliott T. Gall

Mechanical and Materials Engineering Faculty Publications and Presentations

While do-it-yourself (DIY) air cleaners such as the Corsi-Rosenthal Box (CR Box) are an increasingly popular choice for low-cost, accessible air cleaning during a wildfire event, construction and performance variability remains a concern. Using the same set of instructions, materials, and location of assembly, seven CR Boxes are constructed by individuals with no prior DIY air cleaner experience and clean air delivery rates (CADRs) are experimentally determined for each of the devices. Against a challenge aerosol consisting of fresh smoke generated via pine needle combustion, average number-based, PM2.5 CR Box CADRs range from 313–396 m3/h (relative standard deviation = 7.6 …

Predicting Cloud-To-Ground Lightning In The Western United States From The Large-Scale Environment Using Explainable Neural Networks, Dmitri A. Kalashnikov, Frances V. Davenport, Zachary M. Labe, Paul C. Loikith, John T. Abatzoglou, Deepti Singh

Geography Faculty Publications and Presentations

Lightning is a major source of wildfire ignition in the western United States (WUS). We build and train convolutional neural networks (CNNs) to predict the occurrence of cloud-to-ground (CG) lightning across the WUS during June-September from the spatial patterns of seven large-scale meteorological variables from reanalysis (1995-2022). Individually trained CNN models at each 1° × 1° grid cell ( = 285 CNNs) show high skill at predicting CG lightning days across the WUS (median AUC = 0.8) and perform best in parts of the interior Southwest where summertime CG lightning is most common. Further, interannual correlation between observed and predicted …

Ev Charging At Multifamily Properties: Moving Beyond Barriers, Whit Jamieson, Anna Guida, Connor Herman

PSU Transportation Seminars

Transportation is the top contributor of greenhouse gas emissions in the US and light-duty vehicles are the #1 contributor to transportation emissions. Mass adoption of electric vehicles (EVs) is key in the fight toward a more sustainable future, but there are several factors that have delayed our transition to EVs.

EV charging at home is the most convenient and cost-effective charging option for EV drivers, but people living in multifamily housing face serious barriers to accessing home charging. During this session, we will explore why EV charging at multifamily housing is critical to mass adoption of EVs, barriers to charging …

Mean Field Control Of Droplet Dynamics With High-Order Finite-Element Computations, Guosheng Fu, Hangjie Ji, Will Pazner, Wuchen Li

Mathematics and Statistics Faculty Publications and Presentations

Liquid droplet dynamics are widely used in biological and engineering applications, which contain complex interfacial instabilities and pattern formation such as droplet merging, splitting, and transport. This paper studies a class of mean field control formulations for these droplet dynamics, which can be used to control and manipulate droplets in applications. We first formulate the droplet dynamics as gradient flows of free energies in modified optimal transport metrics with nonlinear mobilities. We then design an optimal control problem for these gradient flows. As an example, a lubrication equation for a thin volatile liquid film laden with an active suspension is …

Inefficiencies In Water Supply And Perceptions Of Water Use In Peri-Urban And Rural Water Supply Systems: Case Study In Cali And Restrepo, Colombia, Diana Carolina Callejas Moncaleano, Saket Pande, Melissa Haeffner, Juan Pablo Rodríguez Sánchez, Luuk Rietveld

Environmental Science and Management Faculty Publications and Presentations

Introduction:

Water scarcity is a significant global challenge that frequently manifests as inadequate water supply for domestic purposes. However, domestic water insecurity can occur even in regions where water is naturally abundant. Despite Colombia’s plentiful surface water resources, rural and peri-urban communities often experience limited access to water. Existing water supply systems are frequently susceptible to poor maintenance, particularly in remote areas where much of the infrastructure remains outdated. Consequently, water is often lost through leaks or unintentional non-domestic use. Although a regulatory framework for water usage exists, it does not consistently translate into effective implementation.

Methodology:

Based on an …

Automated Verification Of Compiler Transformations, Yanzhao Wang

Dissertations and Theses

The ever-growing complexity of software and its target hardware makes it increasingly challenging to develop reliable compilers that preserve the semantics of source code during compilation. Traditional testing methods often lack sufficient test coverage and fail to identify subtle errors and undefined behaviors that can lead to compiler malfunctions. Furthermore, while formal compiler certification ensures semantic preservation through theorem proving, the inherent complexity of this process makes re-certification after each compiler revision substantially labor-intensive. This often significantly hinders the improvement of compilers.

This research aims to bridge the gap between increasing compiler complexity and the limited scalability of formal verification …

Fast-Tracking Transit: Unveiling Portland's First Bus Rapid Transit Line And Signal Optimization Strategies, Mark Haines, Jesse Stemmler

PSU Transportation Seminars

This presentation on the Division Transit Project will provide an overview of the project elements including roadway design, bus station design, traffic signal timing and operations and the Next Gen Transit Signal Priority (TSP) system. We will discuss some lessons learned and provide before and after results from the project.

Investigating The Learning Goals And Expectations Of Laboratory Coordinators, Graduate Teaching Assistants, And Students In General And Organic Chemistry Laboratory Courses, Elizabeth Blanche Vaughan, A. Montoya-Cowan, Christine Kim, Alexandra Stephens, Osie Hamilton, Jack Barbera

Chemistry Faculty Publications and Presentations

As chemistry education researchers and practitioners continue to investigate and improve undergraduate laboratory courses, it is necessary to consider the perspectives held by each of the stakeholders who are directly involved in these courses, including laboratory coordinators, graduate teaching assistants, and students. This study sought to qualitatively investigate the learning goals and expectations held by laboratory coordinators, graduate teaching assistants (GTAs), and students for general and organic chemistry laboratory courses at a single institution. This was completed through the collection and analysis of semistructured interview data from laboratory coordinators and GTAs and open-ended written responses from students. Results indicated that …

Active Grid Turbulence Anomalies Through The Lens Of Physics Informed Neural Networks, Sofía Angriman, Sarah E. Smith, Patricio Clark Di Leoni, Pablo J. Cobelli, Pablo D. Mininni, Martín Obligado

Mechanical and Materials Engineering Faculty Publications and Presentations

Active grids operated with random protocols are a standard way to generate large Reynolds number turbulence in wind and water tunnels. But anomalies in the decay and third-order scaling of active-grid turbulence have been reported. We combine Laser Doppler Velocimetry and hot-wire anemometry measurements in a wind tunnel, with machine learning techniques and numerical simulations, to gain further understanding on the reasons behind these anomalies. Numerical simulations that incorporate the statistical anomalies observed in the experimental velocity field near the active grid can reproduce the experimental anomalies observed later in the decay. The results indicate that anomalies in experiments near …

Faculty Senate Monthly Packet November 2024, Portland State University Faculty Senate

Faculty Senate Monthly Packets

The November 4, 2024 monthly packet includes the November agenda, appendices, and the Faculty Senate minutes and attachments from the meeting held November 4, 2024.

A 3d Memristor Architecture For In-Memory Computing Demonstrated With Sha3, Muayad J. Aljafar, Rasika Joshi, John M. Acken

Electrical and Computer Engineering Faculty Publications and Presentations

Security is a growing problem that needs hardware support. Memristors provide an alternative technology for hardware-supported security implementation. This paper presents a specific technique that utilizes the benefits of hybrid CMOS-memristors technology demonstrated with SHA3 over implementations that use only memristor technology. In the proposed technique, SHA3 is implemented in a set of perpendicular crossbar arrays structured to facilitate logic implementation and circular bit rotation (Rho operation), which is perhaps the most complex operation in SHA3 when carried out in memristor arrays. The Rho operation itself is implemented with CMOS multiplexers (MUXs). The proposed accelerator is standby power-free and circumvents …

A Novel Maximum Likelihood Based Probabilistic Behavioral Data Fusion Algorithm For Modeling Residential Energy Consumption, Tanmoy Bhowmik, Naveen Chandra Iraganaboina, Naveen Eluru

Civil and Environmental Engineering Faculty Publications and Presentations

The current research effort is focused on improving the effective use of the multiple disparate sources of data available by proposing a novel maximum likelihood based probabilistic data fusion approach for modeling residential energy consumption. To demonstrate our data fusion algorithm, we consider energy usage by fuel type variables (for electricity and natural gas) in residential dwellings as our dependent variable of interest, drawn from residential energy consumption survey (RECS) data. The national household travel survey (NHTS) dataset was considered to incorporate additional variables that are not available in the RECS data. With a focus on improving the model for …

The Universal And The Unique, Martin Zwick

Complex Systems Faculty Publications and Presentations

This paper explores the abstract dyad of universality and uniqueness. It notes that the two might be complementary and even synergistic, or that they might be alternatives that oppose one another. It also explores how the unique might be an emergent from a primal universality, as well as how the universal might be an emergent from a primal uniqueness. Finally, it offers an interpretation of this dyad in which the universal and the unique are equivalent transforms of one another and thus two sides of the same coin.

Keywords: Universality, uniqueness, general and particular, similarity and difference, fundamental dyad, dualism

Nfts At The Nexus Of Innovation And Sustainability: A Framework Aligning Nft Affordances With The Sustainable Development Goals, Kristi Yuthas

Business Faculty Publications and Presentations

The United Nations’ Sustainable Development Goals (SDGs) are goals associated with the most significant global issues, which include climate, health, security, and poverty. The goals are part of an agenda for making progress on environmental, social, and economic issues while ensuring peace and leaving no one behind. Meeting these goals requires effort and innovation on all fronts, including technology. Information and communication technologies have long contributed to these efforts, and more recently, blockchain for good projects have begun to bear fruit. Non-fungible tokens (NFTs), which are, in essence, certificates of ownership stored on a blockchain, can also contribute to sustainable …

Techniques For Modeling Ocean Soundscapes: Detailed Description For Wind Contributionsa, Martin Siderius, Michael A. Ainslie, John Gebbie, Alexandra Schäfke, N Ross Chapman, Bruce Martin, Kay L. Gemba

Electrical and Computer Engineering Faculty Publications and Presentations

Wind over the ocean creates breaking waves that generate air-filled bubbles, which radiate underwater sound. This wind-generated sound is a significant component of the ocean soundscape, and models are essential for understanding and predicting its impact. Models for predicting sound pressure level (SPL) from wind have been studied for many years. However, the terminology and definitions behind modeling approaches have not been unified, and ambiguity has led to differences in predicted SPL. The 2022 Ambient Sound Modeling Workshop was organized to compare ambient sound modeling approaches from different researchers. The main goal of the workshop was to quantify differences in …

A Finite-Horizon Approach To Active Level Set Estimation, Phillip Kearns, Bruno Jedynak, John Lipor

Mathematics and Statistics Faculty Publications and Presentations

We consider the problem of active learning for level set estimation (LSE), where the goal is to localize all regions where a function of interest lies above/below a given threshold as quickly as possible. We present a finitehorizon search procedure to perform LSE in one dimension while optimally balancing both the final estimation error and the distance traveled during active learning for a fixed number of samples. A tuning parameter is used to trade off between the estimation accuracy and distance traveled. We show that the resulting optimization problem can be solved in closed form and that the resulting policy …

Verifying Models Of The Underwater Soundscape From Wind And Ships With Benchmark Scenariosa), S Bruce Martin, Martin Siderius, Michael A. Ainslie, Michele B. Halvorsen, Leila Hatch, Mark K. Prior, Daniel Brooker, James Caplinger, Christine Erbe, John Gebbie, Multiple Additional Authors

Electrical and Computer Engineering Faculty Publications and Presentations

Models of the underwater acoustic soundscape are important for evaluating the effects of human generated sounds on marine life. The performance of models can be validated against measurements or verified against each other for consistency. A verification workshop was held to compare models that predict the soundscape from wind and vessels and estimate detection ranges for a submerged target. Eight modeling groups participated in the workshop which predicted sound levels with observation windows of 1 min and 1 km2. Substantial differences were found in how modelers computed the propagation losses for decidecade bands and estimated the source level of wind. …

Let Knowledge Serve The City! A Decade Of Better Block Psu Projects, Ryan Hashagen

PSU Transportation Seminars

Better Block PSU works with Planning and Civil Engineering students to bring community ideas to life! Over the last 10 years, the pathway has resulted in many real world pop ups and capital projects implemented by volunteers and PBOT.

Editorial: Advances In Ecological Environment Changes In Coastal And Estuarine Waters In Response To Hydrodynamic Variability, Jiayi Pan, Yeqiang Shu, Zhe-Wen Zheng, Adam T. Devlin, Majid Nazeer, Andrew M. Fischer

Civil and Environmental Engineering Faculty Publications and Presentations

Over the past few decades, coastal and estuarine ecological environments have undergone significant and rapid transformations, driven by a range of factors, with the variability in hydrodynamic conditions being one of the most prominent (Elliott et al., 2019; Statham, 2012; Da et al., 2024). These dynamic forces influence water movement, sediment transport, and nutrient cycling, all of which are critical components affecting the health and stability of these ecosystems (van Vliet et al., 2023; Li et al., 2023). Consequently, understanding and interpreting hydrodynamic processes in coastal and estuarine waters are fundamental to unraveling the mechanisms behind ecological changes. This task …

Bipolar Ionization Did Not Reduce Airborne Bacteria In A Lecture Hall, David A. Kormos, Nishit J. Shetty, Elliott T. Gall, Aaron J. Prussin, Amy Pruden, Linsey C. Marr

Mechanical and Materials Engineering Faculty Publications and Presentations

Ionization treatment of indoor air has attracted attention for its potential to inactivate airborne pathogens and reduce disease transmission, yet its real-world effectiveness remains unverified. We evaluated the impact of an in-duct, bipolar ionization system on airborne particles, including culturable bacteria, in a lecture hall. The ionizer was off with variable fan speed for 1 week, on with variable fan speed for a second week, and on with high and constant fan speed for a third week. We measured ion concentrations and aerosol particle concentrations, and we collected bioaerosol samples for analysis of 16S rRNA gene copies representing total bacteria …

Readiness Of Cybersecurity In The Usa Energy Industry, Aaron Cavanaugh

Dissertations and Theses

Cybersecurity Readiness shows an organizations ability of applicant and application to be able to fully utilize computing resources through behaviors (e.g., training employees), practices, and processes, while managing risk through efficient controls in order to prevent, detect, and respond to outage scenarios using audit and assessment techniques. An evaluation of cybersecurity readiness for the USA energy industry assists industry decision makers to comprehensively assess readiness gaps for prioritizing a risk-based cybersecurity implementation plan. There is a currently a lack of a Multi-Criteria Decision Model (MCDM) to assist decision makers to comprehensively assess Readiness of Cybersecurity in the USA Energy Industry. …

Dcai: The 4th International Workshop On Data-Centric Ai, Yanjie Fu, Kunpeng Liu, Dongjie Wang

Computer Science Faculty Publications and Presentations

Machine learning traditionally emphasizes developing models for given datasets, but real-world data is often messy, making model improvement insufficient for enhancing performance. Data-Centric AI (DCAI) is an emerging field that systematically improves datasets, leading to significant practical ML advancements. While experienced data scientists have manually refined datasets through trial-and-error and intuition, DCAI approaches data enhancement as a systematic engineering discipline. DCAI represents a shift from focusing on models to the underlying data used for training and evaluation. Despite the dominance of common model architectures and predictable scaling rules, building and using datasets remain labor-intensive and costly, lacking infrastructure and best …

Ghg Inventory From Building Washington State Department Of Transportation Roadways, Milad Ashtiani

PSU Transportation Seminars

State departments of transportation (DOTs) are increasingly focusing on reducing greenhouse gas (GHG) emissions, especially with new regulations like the Buy Clean Acts in California, Oregon, and Washington. This project, in collaboration with the Washington State Department of Transportation (WSDOT), aims to assess the agency's carbon emissions through a life cycle assessment of construction materials such as cement, concrete, steel, and asphalt, which are now under heightened scrutiny.

While WSDOT has already implemented strategies to reduce Scope 1 and Scope 2 emissions (related to direct and energy-related activities), there has been limited focus on Scope 3 emissions—those generated upstream in …

Cross-Track Seabed Imaging And Buried Object Detection With A Multibeam Sonar, Charles W. Holland, Samuel Pinson, Daniel L. Orange, Cody R. Henderson

Electrical and Computer Engineering Faculty Publications and Presentations

What lies underneath the ocean floor is of interest to a wide variety of disciplines. The focus here is imaging the upper tens of meters of material beneath the seafloor. The sub-bottom profiler is a valuable tool to that end, producing a 2-D image in depth below the seafloor and along the track of the ship. Geoscientists and engineers are frequently interested in not only the subseabed beneath the ship but also either side or cross-track of the ship. We show an approach to cross-track imaging using a low-frequency multibeam sub-bottom profiler. The main result is the detection of a …