Open Research Oklahoma (Oklahoma State Univ.)
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Making sense of citizenship and citizen identity in light of the Citizenship Amendment Act (CAA) 2019: A qualitative study of micro-level citizenship processes among Indian citizens
No full textCitizenship literature often either concentrates on the macro-level aspects of citizenship or investigates the micro-level processes. This project bridges micro-level processes with the macro-level components of citizenship using Structural Symbolic Interactionism. Citizenship is more than just a formal membership bestowed upon us by the nation-state; it is also a claims-making process where individuals extend citizenship claims based on ethnic, racial, or other social identities. Using thirty semi-structured interviews with Indian citizens, this qualitative study of citizenship shows how the micro-level process of citizenship—i.e., making sense of citizenship, is guided by macro-level dimensions or layers of citizenship. Overall, this study makes a threefold contribution. First, it offers a blueprint for a holistic investigation of citizenship. Not only does it investigate how individuals make sense of citizenship and citizen identity, draw symbolic boundaries, and differentiate between citizens and non-citizens, but it shows how larger structures guide such processes. Second, it sheds light on the multi-dimensionality of citizenship. I argue that citizenship includes multiple layers, and each of its layers must be perceived as an arena where citizenship interacts with another structure. Not only are these layers dynamic, but they shape the symbolic boundaries of citizenship. Last, I argue that the micro-level claims-making process depends on these layers as the structural interactions activate specific definitions and restrict others. Thus, whether someone can deploy a symbol or definition to claim citizenship depends on structural interactions
Effect of bos indicus influence and pregnancy on feeder heifer gains
No full textThe Oklahoma Cooperative Extension Service periodically issues revisions to its publications. The most current edition is made available. For access to an earlier edition, if available for this title, please contact the Oklahoma State University Library Archives by email at [email protected] or by phone at 405-744-6311
Advancing in vitro fish alternatives for regulatory ecotoxicity testing
No full textWhile fish toxicity testing methods have been vital in predicting toxicity of pollutants dissolved in water, advancements with in vitro ecotoxicological techniques have continued to gained momentum. In vitro alternatives allow identification of a toxicant’s mode of action, high throughput approaches, reduced test duration and the number of animals used. This dissertation investigated novel animal alternative methods (i.e., fish embryo and cytotoxicity assays) and their ability to predict acute toxicity of chemicals dissolved in water or of actual effluents in fish in vivo. Fathead minnow (Pimephales promelas) embryos and the rainbow trout (Oncorhynchus mykiss) gill cell line, RTgill-W1, were successful in predicting toxicity of a broad list of legacy pollutants, chemicals of emerging concern (CECs) and wastewater samples similarly to fish. Moreover, the 24 hours cytotoxicity assay using RTgill-W1 cells was able to predict toxicity in all samples deemed toxic to fish using the 96- hour larvae assays. Additionally, to facilitate direct water sample exposures in fish gill cell monolayers, RTgill-W1 cells were cultured on transwell inserts. When cells are cultured on transwell inserts for 14-day in symmetrical culture media a monolayer is formed. In this culturing condition, RTgill-W1 cells were able to tolerate freshwater but not seawater exposure on the apical side. Furthermore, mixing between apical and basolateral compartments and lack of the formation of tight junction proteins reinforced the fact that RTgill-W1 cells do not form a truly tight epithelium. Finally, incorporation of additional rainbow trout cell lines from the liver, RTL-W1, and the intestine, RTgutGC, along with RTgill-W1 cells were used for cytotoxicity assays and identification of biomarkers to determine tissue specific mechanisms of toxic action and sensitivity to different classes of pollutants. RTgill-W1 cells were found to be the most sensitive to metal toxicity through cytotoxicity and gene expression of metallothionein. Our findings have highlighted embryo and cell lines applicability and reliability as advanced alternatives to traditional acute fish assays, and a more sensitive and specific toxicity forensic tool
Representations of the p-adic Gspin₄ and GSpin₆ and the adjoint L-function
No full textWe prove a conjecture of B. Gross and D. Prasad about determination of generic L-packets in terms of the analytic properties of the adjoint L-function for p-adic general even spin groups of semi-simple ranks 2 and 3. We also explicitly write the adjoint L-function for each L-packet in terms of the local Langlands L-functions for the general linear groups.Mathematic
Speed Eleusis: variation on an old educational card game
No full textIn this article, we describe a fun and engaging card game called Speed Eleusis that teaches the process of scientific discovery and publication, including such practices as replication and retraction. Much like the traditional game of Eleusis and its variant Eleusis Express, this game involves students competing to model a pattern displayed in a sequence of ordinary playing cards. Speed Eleusis, however, features a quicker pace and is easier to manage. Although developed for introductory physics and physical science labs at a four-year university and two-year college, Speed Eleusis should prove ideal across a wide range of science subjects and age groups, especially during the first week of instruction.Vice President For Researc
Impact of vibrations on mobile infrasound sensing and the development of a custom sensor package
No full textAcoustic frequencies below 20 Hz, referred to as "infrasound", are emitted by various phenomena. Events such as volcanoes, tornadoes, earthquakes, industrial processes, detonations, and bolides, can be analyzed via the infrasound they produce. Researchers often use fixed-location sensors to observe correlations between infrasound signals and the location, strength, and behavior of these events. However, recent efforts to deploy infrasound sensors on-board a storm-chasing vehicle (targeting tornado-induced infrasound) have yielded unexpected results. Following an initial investigation, it was suspected that vibrations were responsible for abnormal spectral content observed while deployed on-board the vehicle. To explore the mitigation of vibrations on mobile infrasound acquisition, a custom seismo-acoustic sensor was constructed: the Cloud-capable Low-cost Acoustic and Seismic sensor Package (CLASP). CLASP consists of a pressure transducer mounted orthogonally to the dominant vibration vector component on common mobile platforms and utilizes an open source cloud-based storage protocol, both of which aim to optimize the sensor package for mobile infrasound measurements. Following its construction, data collected from both CLASP and a previously fielded sensor were compared during lab and field testing: acoustic and acceleration data was acquired while mounted to an unmanned aerial vehicle, automobile, and shaker table. Throughout controlled lab tests, the CLASP design helped decouple vibrations from the acoustic signals collected from the pressure transducer. However, field tests revealed that the primary contributor to seismo-acoustic coupling is static pressure oscillations due to changes in altitude as the package vibrates; a mechanism that is not mitigated by the CLASP design. Ultimately, CLASP and its source code, components, and methodology are presented in this work, as well as a summary of guidelines for infrasound data acquisition in vibrationally-active environments
Nonuniqueness and equivalence in online inverse reinforcement learning with applications to pilot performance modeling
No full textThe focus of this thesis is behavior modeling for pilots of unmanned aerial vehicles.The pilot is assumed to make decisions that optimize an unknown cost functional, which is estimated from observed trajectories using a novel inverse reinforcement learning (IRL) framework. The resulting IRL problem often admits multiple solutions. Nonuniqueness necessitates the study of the notion of equivalent solutions, i.e., solutions that result in a different cost function but same feedback matrix, and convergence to such solutions. While offline algorithms that result in convergence to equivalent solutions have been developed in the literature, online, real-time techniques that address nonuniqueness are not available. In this thesis, a regularized history stack observer that converges to approximately equivalent solutions of the IRL problem is developed. Novel data-richness conditions are developed to facilitate the analysis and simulation results are provided to demonstrate the effectiveness of the developed technique.The novel IRL observer is then adapted to the pilot modeling problem. The observer is shown to converge to one of the equivalent solutions of the IRL problem. The developed technique is implemented on a quadcopter where the pilot is modeled as a linear quadratic regulator. Experimental results demonstrate the robustness of the method and its ability to learn an equivalent cost functional
Effect of sleep-based consolidation on speech motor learning
No full textThis study investigated the effect of sleep on motor speech learning. Forty-five participants practiced a non-meaningful speech phrase and were tested later for retention. Testing occurred 12-24 hours after practice. Participants were split into three groups: a sleep group, a no-sleep group, and a sleep with an extra practice group. Results revealed that participants who slept between practice and delayed retention testing performed better than those who did not. Additionally, those who slept and received an extra practice session did not perform better than those who slept and didn’t receive extra practice. These findings expand on the understanding of motor learning and may impact treatment in speech-language pathology
Rules for small, on-farm poultry slaughter operations in Oklahoma
No full textThe Oklahoma Cooperative Extension Service periodically issues revisions to its publications. The most current edition is made available. For access to an earlier edition, if available for this title, please contact the Oklahoma State University Library Archives by email at [email protected] or by phone at 405-744-6311
Impact of genotype, environment, and management on late-sown winter wheat
No full textClimate change is increasing the occurrence of extreme weather events, such as droughts, floods, and wide temperature shifts, during the winter wheat (Triticum aestivum L.) growing season in the Southern Great Plains. These events, coupled with increased acreage of double-cropping systems, often result in delayed wheat sowing. Hence, the development of management practices and resilient genotypes adapted to late sowing conditions is necessary. This study was designed to i) compare grain yield between optimal sowing and late sowing, to assess, as a result of delayed sowing, ii) the viability of cultivating short-season winter wheat genotypes instead of the commonly grown full-season winter wheat genotypes, iii) the potential benefit of increasing seeding rate, and iv) the physiological factors that enable yield responsiveness. Additionally, we quantified the magnitude of differences in vernalization requirement among genotypes with different levels of maturity patterns and adaptation to a late sowing date and investigated trends in cumulative vernalization degree days (VDD) using historical weather data and weather projections. Late sowing outyielded optimal sowing in four out of six site-years by 48%. In these four site-years, suboptimal conditions such as diseases (e.g., Fusarium root rot), ice storms, or droughts occurred, leading to reduced yield for the optimal sowing. The short-season winter wheat genotype offers adaptability to a shortened growing season due to its accelerated maturity pattern, providing an opportunity for producers to plant a summer crop within the same season or to salvage an ill-fated wheat season with a second-chance sowing. Aboveground biomass at maturity and grain number per unit area were the main yield drivers (r²=0.76 and r²=0.87, respectively) at late-sown winter wheat. Furthermore, short-season genotype demonstrated to have a lower vernalization requirement compared to three full-season winter wheat genotypes. Lastly, the cumulative VDD has decreased in the past 28 years and shows a similar forecasted trend on weather projections if greenhouse gases keep increasing. Overall, our research underscores the need to develop effective management practices and breeding strategies to maximize winter wheat production when sown late by design or by misfortune