Open Research Oklahoma (Oklahoma State Univ.)
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Storied experiences of non-traditional age women in rural community colleges in a mid-west state
No full textWomen living in rural communities often experience geographic and informational isolation, limited transportation, gender bias, educational limitations, and disproportionate poverty. Community colleges provide access to underrepresented populations, creating education opportunities for students that otherwise may not attend higher education. The intersection of non-traditional female students and higher education in rural colleges creates a space to hear the stories of these women. This study examines the stories of six women that have attended or are attending rural community colleges. These participants’ stories reflect their experiences as they navigated multiple roles while engaging in higher education. The findings of this research suggest that non-traditional females are successful in completing their associate’s degrees. Family support, intrinsic and extrinsic affirmation, and a passion to achieve an established objective are vital to their academic success. This study also examined the participants’ gendered roles and how their experiences in rural community college impacted their evolving identities. This study reveals that an associate’s degree is only the beginning; the participants continued their education to achieve advanced degrees. This research adds to qualitative research that uses narrative inquiry as a methodology. This approach values the voice of the individual as data for analysis of their stories
Automatic modulation classification based on deep learning
No full textModulation classification plays a key role in civilian and military applications, enabling cognitive radios to sense wireless environments, supporting spectrum surveillance, and enhancing electronic warfare through accurate signal identification. It also helps adaptive systems optimize modulation schemes under varying conditions.
Traditional likelihood-based and feature-based approaches to Automatic Modulation Classification (AMC) depend on manually designed features and prior knowledge. Although these methods built the foundation of AMC, they struggle in complex or unseen environments. Deep learning enables end-to-end feature extraction but usually assumes a closed set of classes, which is impractical in real-world scenarios. Open-set AMC aims to identify known signals while rejecting unknown ones, yet collecting sufficient labeled data remains challenging.
To address few-shot open-set AMC, the PEELER method employs episodic meta-learning with an open-set loss that maximizes posterior entropy, improving robustness to unseen classes. Building on this, the proposed Meta Supervised Contrastive Learning (MSCL) framework integrates meta-learning and supervised contrastive learning to refine embeddings. Episodic training enhances the clustering of similar signals and separation of dissimilar ones, producing more discriminative representations.
Vision Transformers with Masked Autoencoders (ViT-MAE) are also explored to reconstruct masked signal images and learn contextual dependencies, improving representation quality under low-SNR conditions.
To further enhance recognition, the CHEST framework integrates multiple signal representations—constellation diagrams, density heatmaps, eye diagrams, spectrograms, and time-domain waveforms—into a pretrained EfficientNet-B1 backbone using late-addition fusion. By enriching input diversity and leveraging fine-tuned foundation models, CHEST achieves state-of-the-art accuracy across many-shot, few-shot, and few-shot open-set AMC tasks, demonstrating the power of multi-representation fusion and large-model fine-tuning
Geological and geomechanical modeling for CO₂ sequestration and enhanced hydrocarbon recovery in offshore Central Gulf of Mexico
No full textOffshore reservoirs in the Central Gulf of Mexico provide numerous opportunities for enhanced oil recovery (EOR) and permanent storage of CO₂. However, reservoir heterogeneity, structures, pressure, temperature, and subsurface stress can greatly impact CO₂ storage potential. This research aims to determine if the study area can host secure long-term storage by assessing stress and temperature conditions, building 3D models of porosity, pore pressure, and fracture pressure, assessing the geomechanical integrity of seals and reservoirs, analyzing depositional systems, performing site screening of 1,615 active and depleted sands, identifying potential CO₂-EOR and saline reservoir storage prospects, and comparing their CO₂ storage resources. These objectives were achieved by using a suite of geophysical well logs, four-arm caliper logs, the BOEM Sand Database, and pre-stack seismic data for geomechanical stress fields assessment, borehole breakout analysis, performing 3D Empirical Bayesian kriging, simultaneous seismic inversion, and developing seismic-driven probabilistic neural networks. Geomechanical assessment demonstrates that well segments containing a high volume of breakouts will have low CO₂ storage potential because pore pressure approaches the minimum horizontal stress. 3D models of stress reveal that shelf sands ~1600 m (5,249 ft) below the seabed are in a safe CO₂ storage window. Candidate reservoir and seal units in the study area are geomechanically stable. However, to reduce tensile failure risk, CO₂ should be injected at a pressure below the minimum horizontal stress. Friction angles of Pliocene–Pleistocene strata are adequately high to minimize the risk of fault reactivation and associated deformation. Permeability is sensitive to effective porosity and hydrocarbon saturation in the study area, indicating high CO₂ storage potential in concert with EOR operations. Only 34% of the active and depleted sands meet all screening criteria. The total P₅₀ storage resource of the 552 sands that satisfy all the screening criteria used in this study is ~ 893 Mt. This research helps to understand the interplay among reservoir architecture, geologic structures, and stresses in assessing carbon storage potential, and additional work can be performed on fault seal assessment, geomechanical deformation, and geochemical simulation of the response to CO₂ injection
How to describe a massacre? A collaborative metadata justice project
No full textThroughout the summer of 2020 and into the following fall, a cross-unit working group at the University of Oklahoma Libraries (OU Libraries) collaborated to compile and submit a proposal to change the Library of Congress Subject Heading (LCSH) Tulsa Race Riot, Tulsa, Okla., 1921 to Tulsa Race Massacre, Tulsa, Okla., 1921. The working group members situated this project in the context of the metadata justice movement, which seeks to correct problematic descriptions. They also see this proposal as part of the broader work undertaken over many decades by Tulsa activists and community leaders. This successful proposal required working group members to work across library departments; learn about a broad range of library processes, including the complicated process of submitting an LCSH change proposal within the Subject Authority Cooperative Program; and conduct significant research into the Tulsa Race Massacre and the language currently used to refer to it in varied settings. This ad hoc working group also led to the formation of a “learning and working” group at OU Libraries devoted to analyzing local descriptive practices and other LCSH terms to correct problematic descriptions and create new and accurate descriptions, as well as learning about issues related to metadata justice and critical cataloging.Peer reviewedLibrar
Failure analysis of full-scale 76mm sounding rocket motor during static fire ground test
No full textThis report presents a failure analysis of a full-scale static fire ground test of a 76 mm solid rocket motor developed as a sustainer motor for a two-stage high-altitude sounding rocket. The test, intended to validate motor performance and structural integrity prior to airframe integration, resulted in a catastrophic failure shortly after ignition. The propulsion system utilized a high-energy, semi-pourable ammonium perchlorate composite propellant (APCP) formulation cast into five face-bonded grains with an aft finocyl geometry and a head-end ignition system. The failure event was rapid and complete, preventing nominal data collection. Post-test inspection revealed significant structural failure of the motor casing and expulsion of several test stand components. This analysis reconstructs the failure timeline using available video and photographic evidence, evaluates potential failure mechanisms—including over-pressurization, liner delamination, and ignition overdrive—and provides recommendations for corrective design actions. The findings contribute to future static fire protocols and motor development for high-impulse solid rocket motor propulsion systems
Rural voices on renewable energy: A Q methodology study of agricultural land use perceptions
No full textFor many older farmers, the family farm remains a source of deep emotional connection, fostering a strong sense of territoriality and shared pride in place (Chambers, 2021; Downey et al., 2017). However, as farmers age and face increasing physical challenges, underused land and shifting economic priorities have led to new pressures on rural land use (Mehrabi, 2023). Rural land is now increasingly targeted for renewable energy development due to its relative abundance and suitability for large-scale renewable energy projects (Deavers, 1992; Shi et al., 2024). Renewable energy promises economic growth and environmental sustainability, but the expansion process raises concerns about land use conflicts, rural identity, and agricultural preservation. Understanding how rural residents perceive these developments is essential for shaping approaches that align with community values and needs. The purpose of this study was to explore the perspectives of rural U.S. residents toward the use of agricultural land for renewable energy. Thirty-nine rural residents sorted a 36-statement Q set related to wildlife, environmental impact, financial and economic factors, community involvement, emotional connection to the land, current land use, and future plans. The condition of instruction for this study was, “What are your thoughts on using agricultural land for renewable energy?” This study identified four distinct perspectives: Agricultural Preservationists, Visionary Contributors, Community Conservationists, and Intergenerational Stewards. Agricultural Preservationists prioritize maintaining farmland for food production and view renewable energy as a potential threat to agricultural traditions. Visionary Contributors favor renewable energy for economic and technological progress, emphasizing long-term benefits. Community Conservationists seek balanced development parallel with local values. Intergenerational Stewards focus on inheritance and seek to preserve a legacy for future generations. These findings contribute to the growing body of research on rural energy transitions, emphasizing the need for communication and development strategies with consideration to the diverse viewpoints of rural residents
Inter-rater reliability and practical utility of five victim typologies in homicide case analysis
No full textVictimology is a relatively young field emerging formally in the mid-20th century. Research in this area, while sparse, remains crucial as victims are a central yet historically overlooked aspect of criminology. Victimology seeks to try and understand the relationship between the victim and the offender, which can help to provide insight into why crime occurs. In the criminal justice system, victims have been seen as disposable and categorized as such, which is why this research is so crucial. Early victimologists (Benjamin Mendelsohn, Hans von Hentig, Stephan Schafer, Marvin Wolfgang, and Menachem Amir) developed classification systems that helped categorize victims based on biological, social, and psychological factors that play a role in how much or how little involvement or blame may be placed on the victim. After looking into the history of this field, it was found that research on victims has been mainly focused on cases of rap. Which is why when this study was proposed homicide case data was utilized. Data surrounding 241 closed homicide case synopses were copied from original case synopses, subjects rated each synopsis based on the typology instructions presented. Findings indicate that Menachem Amir and Hans von Hentig’s victim typologies demonstrated the highest percent agreement in this study. Descriptive statistics confirmed these trends with von Hentig’s typology showing the least variability in ratings and Wolfgang’s typology exhibiting the highest. The results for Stephan Schafers and Benjamin Mendelsohn’s typologies suggest that these two classification systems have fair agreement. These findings highlight the need for further refinement of victim typologies, particularly in homicide research. Future studies should explore additional variables influencing victim-offender dynamics and assess how contemporary victim classification models align with modern criminological perspectives
Bioinformatics approach using molecular dynamics to characterize interactions between small biomolecules and myoglobins from mammalian and avian species
No full textPrevious studies have characterized the roles of lipid oxidation, oxygen consumption, and metmyoglobin reducing activity in meat color. However, there is limited knowledge on how various biomolecules directly interact with myoglobin. The objectives were (1) to evaluate species-specific physicochemical, and structural properties of myoglobin, (2) molecular docking studies to understand how oxygen, carbon monoxide, and 4-hyroxy-2-nonenal (HNE) interact with bovine myoglobin, and (3) to characterize substrates such as succinate, lactate, NADH, and ascorbate interact with bovine and porcine myoglobins. Bovine myoglobin has the maximum solvent accessible surface area (8222.81 Å) than other species, while chicken and turkey have the maximum surface area for heme (835.14 Å) compared with other species. HNE formed hydrophobic interactions with leucine 89 and alanine 71. In the carbon monoxide myoglobin complex, histidine 64 stabilizes the carbon monoxide to the iron atom. In oxygen-myoglobin complex, aspartic acid 44 formed hydrogen bond with oxygen. In bovine and porcine, ascorbate complexed with myoglobin forming hydrogen bonds with cavity residues such as aspartate 44, lysine 42, histidine 97 and with heme porphyrin ring. In both porcine and bovine, succinate complexes with myoglobin through histidine 97 and aspartate 44 via a hydrogen bond and with phenylalanine by a hydrophobic bond. The porcine myoglobin-NADH complex formed hydrogen bond with heme porphyrin ring, aspartate 44, histidine 97 and lysine 42. While in beef myoglobin-NADH complex, the residues interacting was hydrophobic residue leucine 89, involved in stabilizing oxygen in the heme pocket, threonine 67, and histidine 64 that is located towards the distal side. In both bovine and porcine, lactate interacted with heme porphyrin ring, threonine 67, and histidine 64 by hydrogen bonds. The study also indicates that lactate can limit oxygen binding to myoglobin, which explains the dark color in lactate-enhanced beef. The current study demonstrates that, in addition to the roles of substrates in biochemical reactions, direct interaction with myoglobin also influences meat color. Thus, employing computational techniques will help in understanding weaker interactions that cannot be studied with traditional wet-laboratory methods. Therefore, a combination of computational and biochemical studies will provide novel insights into meat color development
Description of all stages of a new tick species from California, Haemaphysalis vespertina (Acari: Ixodidae), with redescription of H. leporispalustris Packard, 1869 adults and phylogenetic relationships among related U.S. taxa
No full textAll active stages of Haemaphysalis vespertina sp. nov. (Acari: Ixodidae), a tick previously identified as H. leporispalustris Packard, 1869, are described from specimens collected on the vegetation and from leporids in California and Oregon. The adults of H. leporispalustris Packard, 1969 are redescribed based on type material. Adults of the two species can be distinguished by their overall size, the dorsal shape of palpal segment II, the number and shape of dorsal and ventral setae on palpal segment II, the number of spurs on coxae II, the length of setae on scutum, legs and coxae, and the pattern of scutal punctations. Phylogenetic analyses support H. vespertina as a distinct taxonomic lineage. Additional unresolved lineages within H. leporispalustris s.l. were identified, suggesting a need for further taxonomic study of leporid-associated Haemaphysalis ticks in North America.Entomology and Plant Patholog