Open Research Oklahoma (Oklahoma State Univ.)
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Body condition scoring of cows
The 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
Blue light therapy in those with concussions to improve sleep quality and or sleep disturbances
Background: Utilizing data from the 2017 national Youth Risk Behavior Survey, the Center for Disease Control analyzed the prevalence of concussions in high school aged students and estimated that approximately 15% of students (2.5 million) reported having at least one concussion during the study period. Concussions are a form of traumatic brain injury (TBI) and can cause problems such as headaches, dizziness, dazed or confusion, difficulty remembering or concentrating, vomiting, blurred vision, but one of the most common complications that can occur from concussions are sleep disturbances/disorders. About 90% of those who have a TBI reported some type of sleep disturbance that include insomnia, frequent wakefulness after onset sleep, general sense of poor sleep quality, disordered breathing, fatigue, increased need for sleep, and or daytime sleepiness that may possibly interfere with daily living activities. Previous evidence suggests that daily blue wavelength light therapy (BLT) may be effective at reducing fatigue and improving sleep in patients recovering from mild TBI. Therefore, the clinical question of this critical appraisal is: does BLT help improve overall sleep quality and or sleep disturbances in those with concussions?Methods: A computerized literature search was conducted from October to November of 2023 through PubMed, Medline, Google Scholar, and ScienceDirect to identify studies of level 2 evidence or higher investigating the impact of BLT on sleep in concussed patients. Those studies included must have assessed the effectiveness of BLT versus a control to improve sleep quality and or sleep disturbances . The main outcomes were fatigue, daytime sleepiness, sleep quality, and depression.Results: The search strategy revealed 4 relevant studies that were included and met the inclusion and exclusion criteria. All of the studies supported the clinical question and identified that BLT intervention helps improve sleep quality and or disturbances in concussed patients. One study showed that the BLT group fell asleep 57.5 minutes earlier compared to baseline (P =.004). While another study shows that there was a significant reduction in fatigue in those that were in the BLT group (P < .001) with also a significant reduction of daytime sleepiness in the BLT group (P <.01).Conclusions: There is significant evidence that shows that BLT improves sleep quality and or sleep disturbances in those who have sustained a concussion. Peak absorption for the light sensitive protein, melanopsin is around 480nm, most of these studies utilized the intervention for at least 30 minutes throughout a 6-week period. BLT was also shown to improve other concussion symptoms that were not investigated in this study such as depression, alertness, and cognitive function
Warm season annual forage and hay quality result summary (2019-2024)
The 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
Sharing the blueprint: A collaborative hub for information literacy
The instructional responsibilities of architecture librarians run the gamut from traditional research sessions to maker activities and work with special collections. Although lesson plan repositories for instruction librarians exist, they cover librarianship as a whole. It can be frustrating and time-consuming for architecture librarians to modify these generic information literacy lesson plans to fit their needs. But what if this wasn’t the case? What if architecture librarians could save time and effort by finding ready-made, adaptable lesson plans without wading through irrelevant materials, improve and diversify their teaching by discovering new strategies to inspire creativity in their instruction, and empower their colleagues by sharing their expertise and contributing to a valuable resource for the entire field?
This 15-minute session unveils a solution: a peer-to-peer, free open-access lesson plan repository specifically for art, architecture, and design librarians in the Humanities Commons CORE Repository. Attendees will learn the rationale for the repository and why we chose the Humanities Commons. They will also receive instructions for creating a Humanities Commons account, searching for lesson plans within the repository, and uploading lesson plans so they can contribute to and use the resource.Librar
Development of a test rig for compact axial compressors for industrial applications
thesis presents the development of a test rig for compact axial compressor forheating and air conditioning applications. The primary motivation of this study is to develop an axial flow compressor test rig that is portable that can test various axial flow compressors. The driving requirement for the test rig is to power a notional axial compressor of 180kW and rotational speeds up to 100,000 RPM (Revolution Per Minutes) to operate at its desired test conditions. The pressure ratio of the notional compressor is 8.5, and discharge air temperature is 1070 R (322 C). The option for power supply was explored to test a given compressor using electric motors such as Emrax 268, Tesla front drive unit, Ford Mache motor, Cascadia motion motors like IM-225, and other similar motors. Cascadia motion motor iM-225 was selected, that requires a gear box to produce the desired compressor shaft rotational speed. The motor runs on a battery pack supplying a nominal voltage of 350 to an inverter (CM200) integrated in the motor that controls rotational Speed (RPM) and output data on a serial terminal. The compressor casing is secured using bolts on a test table, the compressor shaft is connected using couplers to the output shaft of a gearbox with a ratio of 1: 12.41 from the motor. The compressor is back pressurized using iris value to take discharge data. Temperature and pressure data is measured directly using temperature and pressure probes at the inlet and outlet of compressor. Key results of this study demonstrate power and rotational speed applied to the compressor with a gearbox ratio of 1:12.41 and without compressor to estimate mechanical losses. Additionally, the lessons learned from this study will aid in improving the notional compressor designs and testing for Industrial applications. This study will aid in the future design of compact axial compressors and provide a test rig that can test such compressors
Septoria nodorum blotch: A new challenge to wheat production in Oklahoma
The 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
Multi-step prediction with neural networks
This paper demonstrates methods for modeling nonlinear dynamic systems to perform multi-step prediction. These methods are suitable for the design of model predictive controllers (MPC), forecasting power plant loads, and forecasting products sold in stores. There are numerous techniques for modeling nonlinear system, but in the paper we concentrated on the iterative method for multi-step prediction, which we refer to as the TMS-Iterative method. In the iterative method a single model is trained to minimize one-step prediction errors, then the trained model is used for multi-step prediction. But for the TMS-Iterative method a single model is trained to minimize the multi-step prediction errors. The TMS-Iterative method produces more robust long-term predictions. We found this to be especially true when modeling nonlinear dynamic systems.
The paper is comprised of 4 sections. Each section presents a different recurrent neural network (RNN) architecture to perform multi-step prediction using the TMS-Iterative method. The 4 sections are (1) nonlinear input-output models, (2) nonlinear state-space models, (3) sequence-to-sequence (Seq2Seq) models, and (4) seasonal nonlinear model. In the first section we provide an extensive comparison of Nonlinear AutoRegressive model with eXogenous inputs (NARX) and Nonlinear AutoRegressive Moving Average model with eXogenous inputs (NARMAX) for multi-step predictions. We discuss in detail how the NARMAX models provide significantly improved forecasts for shorter prediction horizons, while the predictions converge as the horizon increases. In the second section we introduce the Nonlinear Innovation Form (NIF) and Nonlinear Output Form (NOF), which are nonlinear state-space models. Both the NIF and NOF are based on the Kalman filter, which estimates the hidden states in an RNN model. By estimating the hidden states we can improve the short-term and long-term forecasting accuracy. In the third section we demonstrate Seq2Seq models are fixed-weight adaptive and can learn time-varying dynamics. Seq2Seq models were originally introduced for national language processing. In the paper we extend the Seq2Seq to the modeling of time-varying nonlinear systems. In the fourth section the Periodic Nonlinear AutoRegressive model (PNAR) is introduced. The PNAR model is trained to learn seasonal variations in nonlinear dynamic systems. Seasonal variations are patterns that occur at consistent time intervals in a predictable fashion. In each section, the RNN models are compared using simulated and experimental data
UAV short period handling qualities compared to manned aircraft criteria
Unmanned aircraft are still being designed and developed based on manned flying qualities criteria or revised versions of those specifications. This thesis investigated the application of manned flying qualities criteria used to evaluate unmanned aircraft handling qualities. The purpose of this research was to investigate how we can rely on historically proven criteria and apply lessons learned in manned aviation to unmanned aircraft. In many areas this demand is being met, but regulation and design criteria are still lagging with respect to handling qualities. By investigating the application of the manned flying qualities standards to unmanned aircraft, it provides more data for ongoing efforts to develop flying qualities criteria for UAV. This study focuses on the short period mode of the longitudinal motion being evaluated through flight experiment in an aircraft simulator. The goal was to assess the short period handling qualities of an unmanned vehicle compared to the manned aviation criteria. This was achieved by developing a UAV model for simulation and test pilot evaluation of the aircraft’s handling qualities
Quantitative approach to investigating the availability of queer-inclusive texts in a sample of Oklahoma secondary school library catalogs
This quantitative correlational survey research study examined the availability of Rainbow List books in a sample of Oklahoma secondary school library catalogs. This multifaceted research query first explored the demographic characteristics of Oklahoma secondary schools. The researcher then examined the identity representations, genres, and intended audiences of all titles included on the Rainbow Booklist for the award years 2008-2021. After collecting data from a sample of 111 secondary school libraries from Oklahoma the researcher calculated and compared the identity representations, genres, and intended audiences included in the Rainbow Booklist to those available in library catalogs of those sampled. Lastly, the researcher used SPSS to perform descriptive testing and Kruskal Wallis testing to determine possible relationships between the demographic characteristics and the availability of Rainbow List books in the sample of Oklahoma secondary school library catalogs. The demographic characteristics explored through testing were geographic location, MSEP score, school size, and students’ socio-economic status. The findings indicated school size was the only statistically significant demographic characteristic. Further, the researcher found lesbian and gay representations are more available in school library catalogs. The study illuminates’ possibilities for changes to practices and policies to better support students and disrupt heteronormative practices that have historically silenced LGBTQIA+ voices in schools
Understanding free sulfur dioxide (FSO₂) in wine
The 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