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Discussion on Housing and Goal 10: Bob Clay
No full textBob Clay was interviewed on March 6, 2025, by Sy Adler and Andrée Tremoulet.
The content of this interview is audio only with machine-generated captions.
In March of 2025, Portland State University Professor Emeritus Sy Adler and former Adjunct Associate Professor Andrée Tremoulet conducted three audio interviews with leaders instrumental in the formation and implementation of Goal 10 housing policies to capture their views regarding legislative changes, and how they might affect the availability of housing for all Oregonians.https://pdxscholar.library.pdx.edu/planoregon_interviews/1078/thumbnail.jp
Ureilite Meteorite Petrofabrics: Evolution and Formation Deformational Conditions
No full textThis thesis examines the origin and development of crystallographic fabrics in ureilites, which are primitive achondritic meteorites interpreted as residues of partial melting from a differentiated parent body. In this study, we evaluate three fabric-forming mechanisms: gravitational cumulate crystallization, shock-induced deformation, and flow alignment associated with melt extraction and convective stirring. A quantitative Electron Backscatter Diffraction (EBSD) analysis was conducted on six ureilitic meteorites to assess olivine Lattice Preferred Orientation (LPO), Shape Preferred Orientation (SPO), the connection between SPO and LPO, and other deformation metrics, including Grain Orientation Spread (GOS), and Crystal Rotation Axis (CRA). Our results suggest that most ureilites exhibit low to moderate deformation in olivine, equivalent to shock stages C-S2 to C-S3 for chondrites ( weakly deformed ), as indicated by low to moderate GOS values (mean GOSd50-100: 2.68, 2.66, 1.44, 2.46, 2.73, 2.24, 1.09, 0.9), where d is equivalent grain diameter in microns. These low to moderately shocked ureilites show weighted shock stages mostly within WSS 1-3, which is consistent with the observed C-S2 to C-S3 shock stages. However, one ureilite (Northwest Africa, NWA 7304) was largely recrystallized and fits the definition of shock stage S6, signifying a strongly shocked ureilite. The weakly shocked ureilites display dominant \u3c 001\u3e LPO lineations and weak \u3c 100\u3e and \u3c 010\u3e LPO foliations, with long grain axes (SPO) subparallel to olivine \u3c 001\u3e directions. In contrast, the strongly deformed ureilite shows strong \u3c 100\u3e LPO lineations that are subparallel to textural banding, consisting of coarse and fine grain aggregates, with a-axis SPO of recrystallized grains roughly perpendicular to the textural banding and to \u3c 010\u3e LPO. The presence of subgrain boundaries and clustering in the Crystal Rotation Axis (CRA) diagrams indicates intracrystalline deformation via dislocation glide and climb, with no evidence of post-deformation annealing and no dynamic recrystallization, except in the strongly shocked ureilite (NWA 7304), which was extensively recrystallized into coarse and fine bands. This dislocation creep suggests both dislocation glide, implied by subgrain boundaries, and dislocation climb, involving movement to a different but parallel slip plane. The deformation signatures observed in the weakly shocked ureilites are not consistent with a cumulate origin, which would typically produce LPO lineation in olivine short axes (\u3c 010\u3e), a pattern not observed. Additionally, the fabrics cannot be attributed to shock-induced deformation in the weakly shocked samples, as their shock stages are low, and CRA diagrams for olivine indicate both a-type and c-type dislocation slip were active, pointing to high-temperature deformation, which typically would not result in a dominant \u3c 001\u3e LPO. However, the strongly shocked ureilite (NWA 7304) may have developed its LPO through intense shock deformation. Overall, the observed fabric data in weakly shocked ureilites are best explained by flow alignment of olivine crystals under magmatic conditions. This high-temperature flow process, associated with melt extraction and convective stirring, is strongly evidenced in the weakly shocked ureilites. These ureilites likely experienced a catastrophic collisional disruption near the solidus, followed by rapid cooling. Evidence for rapid cooling from near the solidus includes the presence of minor feldspathic glass and narrow FeO reduction rims, which are mainly observed in the weakly deformed ureilites. Additionally, the strongly shocked ureilite (NWA 7304) may have originated from a later or secondary shock event or from a location near the point of impact during the catastrophic disruption. This interpretation best explains the CRA data and the \u3c 001\u3e LPO, which aligns with predictions for a dominant a-type slip system
Global Deep-Sea Hydrothermal Deposit Metagenomes and Metagenome-Assembled Genomes over Time and Space
No full textActively venting high temperature deep-sea hydrothermal vent deposits along tectonic spreading centers and in backarc basins harbor a rich diversity of thermophilic Bacteria and Archaea, many of which have no representatives in cultivation nor any genomic representation in databases. Here, in order to produce a global-scale time series metagenomic resource for studying the microbial functional and genomic diversity in these high temperature ecosystems, we obtained 70 metagenomes from collections across spatial and temporal gradients from 21 different vent fields spanning 16 years (1993-2009). The dataset (Deep-Sea Hydrothermal Vent dataset (DSV70)) includes 3.56 Tbp of raw DNA sequence reads, that have been assembled to produce 7,422 medium- to high-quality (based on CheckM2) metagenome-assembled genomes (MAGs) of Bacteria (6,063 MAGs) and Archaea (1,359 MAGs). Collectively, this DSV70 dataset and the published 40 metagenomes from more recent deep-sea collections (2004 to 2018), represent a valuable resource for exploring the functional and phylogenomic diversity of the deep-sea hydrothermal microbiomes, and provide many reference genomes for studies in the taxonomy and systematics of poorly studied microbial lineages. Further, with the interest in mining the mineral resources at deep-sea vents, the DSV70 provides a genomic legacy for monitoring impacts on the microbial communities in these systems
2025 Oregon Statewide Homelessness Estimates
No full textThe Point-in-Time (PIT) Count is a census of people experiencing both sheltered and unsheltered homelessness on a single night in January. The federal government requires this at least every other year as a condition of funding it distributes to Continuums of Care (CoCs), networks of government agencies and service providers that manage homelessness services and funding in specific regions. In 2025, all Oregon CoCs conducted an unsheltered count and submitted both unsheltered and sheltered PIT Counts data.
This report provides county-level unsheltered and sheltered totals for all Oregon counties and across the state, as well as the Housing Inventory Count (HIC) data on shelter and housing bed totals for people experiencing or exiting homelessness, both reported by Oregon CoCs. We also include the number of children enrolled in Oregon schools who were reported by school districts as experiencing homelessness under a definition that includes PIT Count criteria, as well as children doubled up with other families by necessity rather than choice. Finally, we include estimates of total doubled-up homelessness across the state calculated using census survey data
Selective Reversal of Cu-Amyloid Aggregation Monitored in Real Time by Fluorescence Anisotropy: Ni-Bme-Dach Vs EDTA Benchmarks
No full textMetal dyshomeostasis, particularly involving Cu2+, is increasingly recognized as a key contributor to amyloid-β (Aβ) aggregation and neurotoxicity in Alzheimer’s disease, motivating the development of chelators capable of selectively disrupting pathogenic metal-Aβ interactions without perturbing essential biological metals. Here, we employ steady-state fluorescence anisotropy as a real-time probe of TAMRA-Aβ1–42 rotational mobility to quantify metal-induced aggregation and its reversibility by two chelators with distinct selectivities: EDTA, a broad-spectrum benchmark, and Ni-bme-dach, a sulfur-rich metallodithiolate with high Cu affinity. Cu2+ induces the most significant increases in anisotropy, consistent with rapid formation of large nanoscale aggregates, while Fe3+ produces moderate aggregation and Zn2+ has minimal effect across pH 6.5 and 8.0. EDTA fully reverses Cu2+-induced aggregation but does so nonselectively, accompanied by pronounced fluorescence hyper-recovery indicative of broad metal stripping and fluorophore-environment perturbation. In contrast, Ni-bme-dach selectively extracts Cu2+, restoring monomer-like anisotropy at both pH values without hyper-recovery. UV–vis spectroscopy confirms formation of a discrete [Cu2-(Ni-bme-dach)3] complex, while TEM and AFM corroborate anisotropy trends and reveal a clear hierarchy of chelation responsiveness: Cu (fully reversible) \u3e Fe (partially reversible) ≫ Zn (negligible). Together, these results establish fluorescence anisotropy as a sensitive kinetic platform for benchmarking chelator selectivity and demonstrate that Cu-driven Aβ aggregation is uniquely and selectively reversible. This work highlights metal-specific reversibility as a critical design principle for next-generation, Cu-targeted chelation strategies in Alzheimer’s disease
PDXScholar Multi-Year Annual Report (2022-2024)
Full text linkWe 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\u27s 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
Springwater Wetlands Enhancement in the Johnson Creek Watershed, Lents and Powellhurst-Gilbert Neighborhoods
No full textOver the past two decades, Springwater Wetlands floodplain restoration has focused on reducing flooding, enhancing habitat, and improving community amenities on City of Portland property. Project construction is nearing completion. Sharing lessons learned in project plans, designs, funds, permits, floodplain enhances and construction process with the urban restoration community also important.
For context, regional climate and land use changes reduce watershed habitat function and increase local floods. Johnson Creek is one of the few free-flowing streams in Portland and has a long history of nuisance and catastrophic flooding. For over a century, government agencies focused on flood control with limited success. For example, the Works Progress Administration (WPA) skillfully lined Johnson Creek rock to alleviate flooding to no avail. About 20 years ago, the Johnson Creek Restoration Plan shifted this focused to watershed-wide floodplain restoration and prioritized the Springwater Wetlands project. This unique 70-acre, urban wetland enhancement project is in the underserved Lents and Powellhurst-Gilbert neighborhoods regularly impacted by local flooding.
Implemented approaches include to: modify site topography; contain stormwater on City property; build trails for public access, maintenance, education and emergency response; plant desirable vegetation; remove invasives; dispose of contaminated fill; protect sensitive species such as red-legged frogs and migratory birds; expand onsite wetlands; install wood piles, snags, and amphibian logs; monitor habitat; maintain vegetation long-term; and adaptively manage site features (beaver dam analogs, tec.).
The project leverages many partnerships with residents, businesses, regulatory agencies, Portland Parks (PPR) and Portland Bureau of Transportation (PBOT). For example, Zenger Farm, a Springwater Wetlands neighbor, educates people about sustainable food systems, wetland ecology and environmental stewardship. In addition, collaboration between BES, PBOT and PPR incorporated a paved bike trail that improves access to natural areas and pedestrian transportation network, aligning with long-term connectivity plans, into this project. This project also integrates educational signs and site features made from WPA rock connecting history and the natural environment
Next Arrival and Destination Prediction via Spatiotemporal Embedding with Urban Geography and Human Mobility Data
Full text linkWith 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 method to predict the next arrival using the origin–destination (O-D) pair trajectory information and point of interest (POI) data. Moreover, the embedding information contains region latent features; thus, we also detect the regional function in this paper. Finally, we conduct a comprehensive experimental study on a real-world trajectory dataset. The experimental results demonstrate the benefit of predicting arrivals, and the embedding vectors can detect the regional function in a city
All the Lonely People: an Integrated Review and Research Agenda on Work and Loneliness
Full text linkDecades of studies spanning multiple disciplines have provided insight into the critical role of loneliness in work contexts. In spite of this extensive research, a comprehensive review of loneliness and work remains absent. To address this gap, we conducted a multidisciplinary review of relevant theory and research and identified 213 articles reporting on 233 empirical studies from management, organizational psychology, sociology, medicine, and other domains to uncover why people feel lonely, how different features of work can contribute to feelings of loneliness, and the implications of employee loneliness for organizational settings. This enabled a critical examination of the distinct conceptualizations and operationalizations of loneliness that have been advanced and the theories underpinning this scholarship. We developed a comprehensive conceptual model that integrates cognitive discrepancy theory, the affect theory of social exchange, and evolutionary theory. This model elucidates the core antecedents, mediators, outcomes, moderators, and interventions forming the nomological network of work related loneliness, including cross-level influences within teams and among leaders. Our review also identifies a number of promising areas for future inquiry to improve our understanding and measurement of loneliness, the process of experiencing and managing loneliness in the workplace, and potential interventions to reduce it. Finally, we provide tangible guidance for organizations and practitioners on how to address and mitigate employee loneliness. Ultimately, our review underscores the complex nature of loneliness and work and establishes a foundation for advancing both scholarly discourse and organizational practices in this critical domain
Adaptive Resolution of Fine Scales in Modes of Microstructured Optical Fibers
Full text linkAn 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 algorithm automatically captures these features without any expert input. The results also show that confinement losses of these modes are captured accurately on the adaptively found meshes