The ‘91 Roos is a sports documentary focused in Killeen, Texas. exploring the 1991 Killeen Kangaroos high school football team and their journey to their city's one and only state championship in football. Killeen is a small central Texas town that is directly adjacent and provides support to Ft Hood, one of the world's largest military bases. With the Persian Gulf War raging in 1991, soldiers that lived in Killeen were being sent off to fight, leaving the city almost like a ghost town. In October 1991, the Luby's Massacre occurred in Killeen, bringing the already depleted city further down by tragedy. At the time, this was the worst mass shooting in US history. This high school football team went on a fairy tale type of run during their 1991 season, resulting in winning a state title and bringing big hope back to a small town in need. Using direct interviews, narration and archival footage, this film provides an emotional yet inspirational look at a small town football team and their improbable season.

Access Points explores the different relationships that humans have to land, focusing on the various ways that the area known as the Wichita Mountains Wildlife Refuge is used, appreciated, and preserved by disparate groups. The natural beauty of this Wildlife Refuge and its striking appearance amidst encircling plains makes it a popular destination for many groups of people, including the local rock-climbing community and generations of indigenous peoples whose connection with this land is as deep as it is longstanding. While climbing organizations have long had to negotiate access and rules regarding climbing within the park, members of the Kiowa community negotiate a much different relationship to a natural area that is now managed by the United States government. These disparate voices, identities, and ways of thinking about land all impact the modern-day Wildlife Refuge in terms of its appearance, individuals' access to the land, and the conservation efforts happening there.

Presentation discusses utilizing participatory leadership techniques such as circle practice and World Cafe´ to enhance employee involvement in organizational planning. Access Services employees were empowered to participate in setting goals, future planning, and restructuring the department. The details of the process, lessons learned, and challenges will be shared. It was presented at the 2022 Access Services Conference held in Atlanta, Georgia.

Oil spills are well-known adverse anthropogenic events, as they can induce severe impacts on the environment and negative economic consequences. Still, much remains to be learned regarding the effects of crude oil exposure to aquatic organisms. The objectives of this dissertation were to fill some of those knowledge gaps by examining the effects of Deepwater Horizon (DWH) crude oil exposure on teleost kidney development and function. To this end, I analyzed how these effects translate into potential osmoregulatory impairments and investigated the interactive effects of ubiquitous natural factors, such as dissolved organic carbon (DOC) and ultraviolet (UV) light, on acute crude oil toxicity. Results demonstrated that acute early life stage (ELS) crude oil exposure induces developmental defects to the primordial kidney in teleost fish (i.e., the pronephros) as evident by alterations in: (1) transcriptional responses of key genes involved in pronephros development and function and (2) alterations in pronephros morphology. Crude oil-exposed zebrafish (Danio rerio) larvae presented defective pronephric function characterized by reduced renal clearance capacity and altered filtration selectivity, factors that likely contributed to the formation of edema. Latent osmoregulatory implications of crude oil exposure during ELS were observed in red drum (Sciaenops ocellatus) larvae, which manifested reduced survival …

Identity is a powerful concept that influences behavior and health. For over thirty years, researchers in sport psychology have been using the Athletic Identity Measurement Scale (AIMS) as a research instrument providing insights into the relationships between athletic identity and health variables. While musician identity is recognized as an important factor to be investigated in relation to occupational health, there are no known robust instruments like the AIMS in music psychology research. The current study aimed to adapt and validate the athletic identity measurement scale for use with musicians. The AIMS history includes episodes of modifications for performance enhancement of the instrument that resulted in five different models. The validation process includes evaluating the psychometrical properties across all five models. The sample included student musicians and non-student musicians (N = 1040). The traditional confirmatory factor analysis (CFA) and the maximum likelihood (ML) estimation method were used. The exploratory structural equation modeling (ESEM) and robust weighted least squares (WLS) was utilized to explore a new method of estimation that was known to resolve issues consistent with the CFA and ML method. The goodness-of-fit indices of CFA and ESEM were compared. The results showed that the MIMS is a reliable and valid …

This research expands the theoretical concept of human adjustment to floods established by Gilbert F. White and incorporates his adjustment concept to examine the range of adjustments in business operations adopted by Texas' natural and/or cultural resources sites during the first year of the COVID-19 pandemic. This mixed-methods study consisted of an online survey with a follow-up semi-structured phone interview. The survey data was analyzed using descriptive statistics and the interview data was inductively coded for thematic analysis as well as quantitative and qualitative content analyses. Specifically, this study identifies the adjustment measures undertaken by these entities to maintain business operations while reducing the virus spread; analyses the direct and indirect factors influencing adjustment measures; examines new business opportunities that emerged from these adjustments; and evaluates whether the impact of COVID-19 on these entities varied in terms of entity characteristics. Findings indicate that cultural and/or natural resource sites implemented adjustments to maintain their fiscal stability and/or to protect human health; these serve as direct underlying motivating factors for these entities. To support these direct measures, indirect factors influenced the operations thus required adjustments such as staffing, volunteers, technology, funding, and donations. Additionally, new opportunities in business practices emerged while implementing …

This dissertation is organized in a traditional format while including three essays that address specific research questions. Essay 1 examined the relationship between physical activity and community engagement and their effect on mental well-being among older men and women. Data from National Health and Aging Trends Study (NHATS) from 2018 to 2020 were explored and the posited relationships were tested. This essay provides empirical support that older adults who are reasonably active and involved in the community have greater mental well-being than those who isolate themselves. Essay 2 provides insight into older adults' motivation to improve their physical activity through the use of a fitness tracker. The key finding from this study is that wearables, especially fitness trackers, can significantly facilitate increased physical activity. Essay 3 is a mixed-methods study to understand older adults' perception of the usefulness of fitness trackers and interaction with such devices. Findings suggest that to increase the adoption of fitness trackers among older adults, makers could improve the esthetics and quality of the wristband in addition to the battery life of the tracker.

Networked multi-agent systems have attracted lots of researchers to develop algorithms, techniques, and applications.A multi-agent networked system consists of more than one subsystem (agent) to cooperately solve a global problem with only local computations and communications in a fully distributed manner. These networked systems have been investigated in various different areas including signal processing, control system, and machine learning. We can see massive applications using networked systems in reality, for example, persistent surveillance, healthcare, factory manufacturing, data mining, machine learning, power system, transportation system, and many other areas. Considering the nature of those mentioned applications, traditional centralized control and optimization algorithms which require both higher communication and computational capacities are not suitable. Additionally, compared to distributed control and optimization approaches, centralized control, and optimization algorithms cannot be scaled into systems with a large number of agents, or guarantee performance and security. All of the limitations of centralized control and optimization algorithms motivate us to investigate and develop new distributed control and optimization algorithms in networked systems. Moreover, convergence rate and analysis are crucial in control and optimization literature, which motivates us to investigate how to analyze and accerlate the convergence of distributed optimization algorithms.

Compressed sensing has been proposed as a computationally efficient method to estimate the finite-dimensional signals. The idea is to develop an undersampling operator that can sample the large but finite-dimensional sparse signals with a rate much below the required Nyquist rate. In other words, considering the sparsity level of the signal, the compressed sensing samples the signal with a rate proportional to the amount of information hidden in the signal. In this dissertation, first, we employ compressed sensing for physical layer signal processing of directional millimeter-wave communication. Second, we go through the theoretical aspect of compressed sensing by running a comprehensive theoretical analysis of compressed sensing to address two main unsolved problems, (1) continuous-extension compressed sensing in locally convex space and (2) computing the optimum subspace and its dimension using the idea of equivalent topologies using Köthe sequence. In the first part of this thesis, we employ compressed sensing to address various problems in directional millimeter-wave communication. In particular, we are focusing on stochastic characteristics of the underlying channel to characterize, detect, estimate, and track angular parameters of doubly directional millimeter-wave communication. For this purpose, we employ compressed sensing in combination with other stochastic methods such as Correlation Matrix Distance …

In the vast field of signal processing, machine learning is rapidly expanding its domain into all realms. As a constituent of this expansion, this thesis presents contributive work on advancements in machine learning algorithms by building on the shoulder of giants. The first chapter of this thesis contains enhancements to a CNN (convolutional neural network) for better classification of heartbeat arrhythmia. The network goes through a two stage development, the first being augmentations to the network and the second being the implementation of dropout. Chapter 2 involves the combination of CNN and LSTM (long short term memory) networks for the task of short-term energy use data regression. Exploiting the benefits of two of the most powerful neural networks, a unique, novel neural network is created to effectually predict future energy use. The final section concludes this work with directions for future works.

Aerial equirectangular panoramic photograph of the San Jacinto Monument at the San Jacinto Battleground State Historic Site in La Porte, Texas. View is from the southeast above the marker noting the place where Houston was injured.

Aerial view of the swamplands covering the site of Spindletop in Beaumont, TX as seen from above Spindletop Park located off of West Port Arthur Road/Spur 93.

Aerial photograph of the Reflecting Pool and San Jacinto Monument at the San Jacinto Battleground State Historic Site in La Porte, Texas.

Aerial photograph of the San Jacinto Monument at the San Jacinto Battleground State Historic Site in La Porte, Texas. View is from the southeast above Santa Anna's camp.

Aerial photograph of the San Jacinto Monument at the San Jacinto Battleground State Historic Site in La Porte, Texas. View is from the southeast above the marker noting the place where Houston was injured. The reflecting pool and Battleship Texas are visible in the distance.

Aerial photograph of the San Jacinto Monument, Reflecting Pool, and Battleship Texas at the San Jacinto Battleground State Historic Site in La Porte, Texas.

Aerial photograph of the San Jacinto Monument, Reflecting Pool, and Battleship Texas at the San Jacinto Battleground State Historic Site in La Porte, Texas.

Aerial view of the swamplands covering the site of Spindletop in Beaumont, TX as seen from above Spindletop Park located off of West Port Arthur Road/Spur 93. Video footage is silent.

The purpose of this phenomenological study was to explore how individuals from different multiracial/multiethnic groups experience and process the phenomenon of parental racial ethnic socialization (RES). Critical multiracial race theory, critical race theory, and bioecological systems theory offered a conceptual framework to how RES is often presented and processed. This study was guided by two research questions: (1) What are the experiences of RES among multiracial individuals? and (2) How do multiracial individuals process the parental racial ethnic socialization they were offered? Nine qualitative, one-on-one, semistructured interviews were conducted with individuals from three different multiracial/multiethnic groups. Results revealed that experiences of RES varied along with how participants processed RES. Three subthemes and one theme emerged related to the RES experiences of participants. For some participants lack of conversations were evident in their RES, which meant that conversations surrounding multiraciality and other racialized topics were not present. Other participants disclosed the subtheme of preparedness as part of their RES experience, while others mentioned the importance of environment to their RES experience. Additionally, the theme of changes over time arose, demonstrating how different life events can impact RES experiences. As for how multiracial/multiethnic individuals process RES experiences, the main theme of identity …

Frédéric Chopin produced a remarkable body of piano works. Even though most of his works are essential repertoire in piano literature, some of them remain less familiar. One such significant work is the Allegro de Concert in A major, op. 46, which was apparently intended to be the first movement of a third piano concerto. Despite the praise the work has received, it is rarely heard, and references to performance are lacking in the scholarly literature. Some reasons include the substantial technical challenges, such as risky skips, trills in double notes, thick harmonic textures, complex passagework, and the perpetual motion. This study provides a performance guide for the Allegro de Concert, looking at various perspectives of an informed musical performance. The historical backstory of the intended third concerto and a detailed form analysis demonstrate that the work has a combined form, incorporating elements of both concerto and sonata-allegro form. The chapter on performance presents the technical issues and a comparative analysis of various editions and arrangements of this work to inspire musical ideas and suggest appropriate solutions to the musical and technical difficulties.

Photograph a granite marker at the San Jacinto Battleground State Historic Site with the Monument rising in the background. Marker reads: "No 17 Almonte captured and greatest carnage of battle occurred."

Recent epidemiological studies have demonstrated a correlation between the manifestation of non-alcoholic fatty liver disease (NAFLD) and ambient air pollution levels, which is exacerbated by the presence of other risk factors, such as diabetes, dyslipidemia, obesity, and hypertension. We investigated the hypothesis that exposure to a mixture of gasoline and diesel engine emissions (MVE) coupled with the concurrent consumption of a high-fat (HF) diet promotes the development of a NAFLD phenotype within the liver. Three-month-old male C57Bl/6 mice were placed on either a low fat or HF diet and exposed via whole-body inhalation to either filtered (FA) air or MVE (30 µg PM/m3 gasoline engine emissions + 70 µg PM/m3 diesel engine emissions) 6 hr/day for 30 days. Histology revealed mild microvesicular steatosis and hepatocyte hypertrophy in response to MVE exposure alone, compared to FA controls, yielding a classification of "borderline NASH" under the criteria of the modified NAFLD active score (NAS) system. As anticipated, animals on a HF diet exhibited moderate steatosis; however, we also observed inflammatory infiltrates, hepatocyte hypertrophy, and increased lipid accumulation, with the combined effect of HF diet and MVE exposure. Immunofluorescence staining and RT-qPCR of the liver revealed the presence of lipid peroxidation, altered expression …

My thesis is to understand the concept of compressive sensing algorithms. Compressive sensing will be a future alternate technique for the Nyquist rate, specific to some applications where sparsity property plays a major role. Software implementation of compressive sensing (CS) takes more time to reconstruct a signal from CS measurements, so we use the orthogonal matching pursuit and basis pursuit algorithms. We have used an image size of 256x256 is used for reconstruction and also implemented a field-programmable gate array (FPGA) of the orthogonal matching pursuit using an image.

As technology has advanced, data has become more and more important. The more breakthroughs are achieved, the more data is needed to support them. As a result, more storage is required in the system's memory. Compression is therefore required. Before it can be stored, the data must be compressed. To ensure that information is not lost, efficient compression is necessary. This also makes sure that there is no redundancy in the data that is being kept and stored. Compressive sensing has emerged as a new field of compression thanks to developments in sparse optimization. Rather than relying just on compression and sensing formulations, the theory blends the two. The objective of this thesis is to analyze the concept of compressive sensing and to study several reconstruction algorithms. Additionally, a few of the algorithms were put into practice. This thesis also included a model of the ECG, which is vital in determining the health of the heart. For the most part, the ECG is utilized to diagnose heart illness, and a modified synthetic ECG can be used to mimic some of these arrhythmias.