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Schools around the nation are increasingly offering online testing options. House Bill (HB) 3906, passed by the 86th Texas Legislature in 2019, resulted in the STAAR redesign, which will be administered in the 2022--2023 school year. The STAAR redesign includes several components including an online test administration for the STAAR. With the change to an online platform comes many concerns related to student familiarity with an online testing platform. The purpose of this qualitative study was to identify and compare the test taking strategies that teachers in grades three through eight teach in preparation for the paper/online versions of the reading STAAR test. A group of Texas teachers participated in focus group sessions. The three primary themes reported in the findings include resources, which teachers suggested were needed to help them prepare students for an online assessment, platforms, which detailed the pros and cons of an online testing environment, and strategies, which support students as they read passages and answer test questions. Overall, the teachers found ways to transfer previously used strategies, such as pen and paper annotations, to online test administration. However, older students have an easier time with this transfer of skills than the younger students.

Background & Aims: Texas has the highest age-adjusted incidence rate of hepatocellular carcinoma (HCC) in the United States. The Cancer Prevention and Research Institute of Texas has funded the Texas Collaborative Center for Hepatocellular Cancer (TeCH) to facilitate HCC research, education, and advocacy activities with the overall goal of reducing HCC mortality in Texas through coordination, collaboration, and advocacy., Methods: On September 17, 2022, TeCH co-sponsored a multi-stakeholder conference on HCC with the Baker Institute Center for Health and Biosciences. This conference was attended by HCC researchers, policy makers, payers, members from pharmaceutical industry and patient advocacy groups in and outside of Texas. This report summarizes the results of the conference., Results: The goal of this meeting was to identify different strategies for preventing HCC and evaluate their readiness for implementation., Conclusions: We call for a statewide (1) viral hepatitis elimination program; (2) program to increase nonalcoholic steatohepatitis and obesity awareness; (3) research program to develop health care models that integrate alcohol associated liver disease treatment and treatment for alcohol use disorder; and (4) demonstration projects to evaluate the effectiveness of identifying and linking patient with advanced fibrosis and cirrhosis to clinical care., (Copyright © 2023 AGA Institute. Published by Elsevier Inc. All rights reserved.)

This paper provides empirical evidence using two studies to explain the primary factors facilitating electronic health record (EHR) systems adoption through the lens of the resource advantage theory. We aim to address the following research questions: What are the main organizational antecedents of EHR implementation? What is the role of monitoring in EHR system implementation? What are the current themes and people's attitudes toward EHR systems? This paper includes two empirical studies. Study 1 presents a research model based on data collected from four different archival datasets. Drawing upon the resource advantage theory, this paper uses archival data from 200 Texas hospitals, thus mitigating potential response bias and enhancing the validity of the findings. Study 2 includes a text analysis of 5154 textual data, sentiment analysis, and topic modeling. Study 1's findings reveal that joint ventures and ownership are the two main enablers of adopting EHR systems in 200 Texas hospitals. Moreover, the results offer a moderating role of monitoring in strengthening the relationship between joint-venture capability and the implementation of EHR systems. Study 2's results indicate a positive attitude toward EHR systems. The U.S. was unique in the sample due to its slower adoption of EHR systems than other developed countries. Physician burnout also emerged as a significant concern in the context of EHR adoption. Topic modeling identified three themes: training, healthcare interoperability, and organizational barriers. In a multimethod design, this paper contributes to prior work by offering two new EHR antecedents: hospital ownership and joint-venture capability. Moreover, this paper suggests that the monitoring mechanism moderates the adoption of EHR systems in Texas hospitals. Moreover, this paper contributes to prior EHR works by performing text analysis of textual data to carry out sentiment analysis and topic modeling. [ABSTRACT FROM AUTHOR]

The article is a report from the President of the Society for the Advancement of Scandinavian Studies (SASS) about their 2-year term and the recent annual conference held at the University of Texas, Austin. The report highlights the success of the conference, including the keynote lecture and the presentation of papers by Society members. The report also announces the winners of various awards and discusses the challenges and opportunities facing the field of Scandinavian Studies, such as hiring and membership. The report concludes with an invitation to the next conference in Seattle and emphasizes the importance of financial support for the Society's mission. [Extracted from the article]

As data-driven models gain importance in driving decisions and processes, recently, it has become increasingly important to visualize the data with both speed and accuracy. A massive volume of data is presently generated in the educational sphere from various learning platforms, tools, and institutions. The visual analytics of educational big data has the capability to improve student learning, develop strategies for personalized learning, and improve faculty productivity. However, there are limited advancements in the education domain for data-driven decision making leveraging the recent advancements in the field of machine learning. Some of the recent tools such as Tableau, Power BI, Microsoft Azure suite, Sisense, etc., leverage artificial intelligence and machine learning techniques to visualize data and generate insights from them; however, their applicability in educational advances is limited. This paper focuses on leveraging machine learning and visualization techniques to demonstrate their utility through a practical implementation using K-12 state assessment data compiled from the institutional websites of the States of Texas and Louisiana. Effective modeling and predictive analytics are the focus of the sample use case presented in this research. Our approach demonstrates the applicability of web technology in conjunction with machine learning to provide a cost-effective and timely solution to visualize and analyze big educational data. Additionally, ad hoc visualization provides contextual analysis in areas of concern for education agencies (EAs). [ABSTRACT FROM AUTHOR]

This paper explores the mechanisms by which companies have utilized corporate restructuring through divisive mergers in conjunction with the available protections and tools of the United States Bankruptcy Code to resolve mass tort liability without placing the entirety of the business under bankruptcy. Popularized in Texas, a divisive merger is a mechanism by which an existing business entity divides itself into two new entities, allocating all pre-existing assets and liabilities to each as they see fit. Although intended to be a means by which to easily sell assets of a business, it has been more popularly used to resolve mass tort liability burdening a business. Known as the Texas Two-Step, this procedure requires two simple steps. First, a business undergoes a divisive merger and allocates all liability associated with its mass tort claims to a newly created entity. Second, the liability-burdened entity places itself under Chapter 11 bankruptcy, in order to enjoin further prosecution of claims and to resolve all current and future liability through the creation of a settlement trust administered by the bankruptcy court. In addition to presenting the mechanisms of the Texas Two-Step and a case study of its use, this paper will present the series of decisions culminating in the Third Circuit's instruction to reject its use. [ABSTRACT FROM AUTHOR]

In February 2021, Texas was hit by a severe winter storm. The extreme cold weather triggered an unprecedented increase of electricity demand and simultaneous failure of multiple electricity grid components. The dual effect caused a widespread power outage that left millions of Texans without power for days. This paper estimates the indirect economy-wide cascading impact of that power outage. It utilized historical make and use tables between 1997 and 2019 in an inoperability input-output analysis–based economic impact assessment model to quantify the expected indirect cost of the power outage in terms of the loss of gross domestic product of Texas. This research found that expected loss to be approximately $664 million in 2019 values. It also found that in Texas industries such as oil and gas extraction, petroleum, coal products, and so on are particularly vulnerable to such weather-related prolonged power outages. The outcomes of this paper can be used in planning for strategies to make the grid robust, reliable, and resilient to severe weather events. The identification of vulnerable industries can also help in planning for auxiliary capacities so the cascading economic impacts of the weather-related power outages can be reduced. [ABSTRACT FROM AUTHOR]

While the repercussions of the novel Coronavirus or COVID-19 have been felt across the world over the past few years, the impact has not been consistent. Instead, it has been mediated by the systemic ways in which existing social and structural disparities have failed vulnerable populations globally. Drawing on document analysis and fifteen in-depth interviews (n=15) conducted among the key stakeholders in the city of San Antonio, South Central Texas, this paper reveals how structural violence worsened during the COVID-19 pandemic resulting in making it a syndemic pandemic of high rates of deaths and illnesses among the most vulnerable and disadvantaged groups. A grounded theory approach particularly revealed themes of social suffering such as low income and pre-existing medical conditions that contributed to higher mortality rates, the presence of racism and misinformation, the importance of trustworthy communication channels, and streamlined collaborative partnerships with clear and effective communication through all levels of the government, especially when communicating scientific information. [ABSTRACT FROM AUTHOR]

Background: In recent years, new therapeutic options to overcome the mechanisms of tumor immune suppression be effective in the treatment of cutaneous melanoma. These approaches have also been applied in ocular melanoma. The aim of this study is to present the current status and research hotspots of immunotherapy for ocular melanoma from a bibliometric perspective and to explore the field of immunotherapy for malignant ocular melanoma research. Methods: In this study, the Web of Science Core Collection database (WoSCC) and Pubmed were selected to search the literature related to immunotherapy of ocular melanoma. Using VOSviewer, CiteSpace, the R package "bibliometrix," and the bibliometric online platform through the construction and visualization of bibliometric networks, the country/region, institution, journal, author, and keywords were analyzed to predict the most recent trends in research pertaining to ocular melanoma and immunotherapy. Results: A total of 401 papers and 144 reviews related to immunotherapy of ocular melanoma were included. The United States is the main driver of research in the field, ranking first in terms of the number of publications, total citations, and H-index. The UNIVERSITY OF TEXAS SYSTEM is the most active institution, contributing the most papers. Jager, Martine is the most prolific author, and Carvajal, Richard is the most frequently cited author. CANCERS is the most published journal in the field and J CLIN ONCOL is the most cited journal. In addition to ocular melanoma and immunotherapy, the most popular keywords were "uveal melanoma" and "targeted therapy". According to keyword co-occurrence and burst analysis, uveal melanoma, immunotherapy, melanoma, metastases, bap1, tebentafusp, bioinformatics, conjunctival melanoma, immune checkpoint inhibitors, ipilimumab, pembrolizumab, and other research topics appear to be at the forefront of this field's research and have the potential to remain a hot research topic in the future. Conclusion: This is the first bibliometric study in the last 30 years to comprehensively map the knowledge structure and trends in the field of research related to ocular melanoma and immunotherapy. The results comprehensively summarize and identify research frontiers for scholars studying immunotherapy associated with ocular melanoma. [ABSTRACT FROM AUTHOR]

Executive Summary: Will recipients of Deferred Action for Childhood Arrivals (DACA) leave the United States if a legal challenge succeeds in ending this important program? The fate of over 600,000 current DACA recipients may depend on answers to this question in one expert report and one online survey question, which a Texas District Court found to show "a quantifiable percentage" would leave. Had the District Court in its DACA ruling not credited these sources, Texas' lawsuit could have collapsed, and DACA would persist. The issue of whether DACA recipients will leave if DACA is ended will matter as this case is litigated, most likely to be decided by the Supreme Court. Drawing on research on immigrant return, DACA recipients, survey questions, priming, and intention-behavior gap, this paper argues that this expert report and the single online survey question used by the District Court cannot support the inferences regarding the return of DACA recipients to their birth countries. Rather, relevant research points toward DACA recipients staying in the United States, even if DACA were terminated. The paper recommends offering DACA recipients and long term undocumented residents a short path to legal status and citizenship, reassessing whether these two sources can support the conclusions drawn by the District Court; and analyzing the benefits accruing from DACA to Texas and all Texans, including US citizen children of DACA recipients, in assessing the claimed injury to the state. [ABSTRACT FROM AUTHOR]

Industrial and energy-related industries are major sources of carbon dioxide emissions, and their interdependence, as reflected in the financial field, has attracted the attention of scholars. For the purpose of exploring the evolutionary characteristics of the short-term dynamic correlation coefficient between the EU carbon futures price and the industrial and energy-related indices, this paper selected the settlement price of EU carbon emission quota futures, the MSCI energy I index on three dimensions, and the Dow Jones industrial index and West Texas crude oil futures price, as sample data. Using the time-varying t-copula model to measure the dynamic correlation coefficient between variables, the time-sliding window idea and coarse-grained method were combined to establish the correlation fluctuation mode, and a complex network theory and analysis methods were used to study the evolutionary traits of the time-varying network structure between the EU carbon price and the industrial and energy-related index. The results show that the transmission objects of the key correlation fluctuation modes in the network are stable and maintain their own state with a high probability. Second, the clustering effect exists in the transmission process. Some nodes with high mediating abilities are also the key correlation wave modes in the dynamic correlation evolution network. This study provides ideas for the study of the correlations between multiple variables and is also a useful reference for international investors. [ABSTRACT FROM AUTHOR]

Community colleges serve a substantial percentage of college-age students in the United States, many of whom arrive with negative attitudes toward mathematics, despite there being many STEM-related fields available to community college graduates. The current paper summarizes the creation of a day-long activity that assists students in developing applied mathematical skills in a format that aligns with the experiential learning theory. Students at a community college in Texas are learning math by engaging with a popular topic, crime scene investigation, through an annual event, established in 2017, called NVCsi. Students interact with hands-on activities that combine forensics, mathematics, and other disciplines. The implementation of the event is described so that other colleges can develop their own experiential learning event. Planned data collection for future event cycles are described, as are limitations and constraints of the NVCsi event with a discussion of planned modifications. [ABSTRACT FROM AUTHOR]

Nurses are at high risk of burnout and subsequent mental health concerns due to problems with overstaffing, immense workload volume, and personal health risks associated with the job. Effective mental health treatments are available but potential barriers to receiving care may prevent nurses from benefiting. The Emotional Health and Well-Being Clinic (EHWC) at Houston Methodist is an outpatient mental health clinic offering therapy and medication management services for employees and employee dependents of our institution. The EHWC is uniquely positioned to observe how nurses utilize mental health services and to address barriers to effective care for this vital group of healthcare professionals. This paper provides descriptive data on the utilization of mental health services by nurses in the EHWC and a discussion of possible challenges faced by this group when seeking care. Based on these data, we propose potential solutions to ensure that nurses can achieve maximum benefit from outpatient mental health services. [ABSTRACT FROM AUTHOR]

Background: Human papillomavirus (HPV) infections can cause cancers of the cervix, vagina, vulva, penis, anus, and oropharynx. The most recently approved HPV vaccine, Gardasil-9, protects against HPV infection and can prevent HPV-associated invasive cancers. However, Gardasil-9 is one of the most underused vaccines in the US today. Young adults are at risk for HPV infection, but many are not vaccinated. This study uses a randomized controlled trial (RCT) to test an innovative multilevel intervention to increase HPV vaccination rates among young adults. In this paper, we describe the research protocol. Methods: The study uses a two by three factorial design. A total of 1200 young adults in Texas, age 18–26 years, who have not been previously fully vaccinated against HPV will be randomly assigned to one of six conditions to receive: (1) standard CDC information about HPV vaccination (control); (2) video narratives about HPV vaccination; (3) written narratives about HPV vaccination; or (4–6) enhanced access to HPV vaccine combined with (4) standard CDC information, (5) video narratives, or (6) written narratives. The two primary outcomes are the rate of HPV vaccination initiation by 3-month follow-up and rate of HPV vaccination completion by 9-month follow-ups. We will determine the impact of the individual level intervention (i.e., persuasive narratives through video or written format), the systemic level intervention (i.e., enhanced access to HPV vaccines), and the combination of both levels, on HPV vaccination initiation and completion. We will also use purposive sampling to select participants to take part in semi-structured interviews/focus groups to better understand the mechanisms of the intervention. Discussion: Recruitment and data collection began in March 2022. We expect to complete data collection by March 2026. We expect that narratives, enhanced access, and the combination of both will improve HPV vaccination initiation and completion rates among young adults. If proven successful, these individual- and system-level interventions can be easily disseminated in regions with low HPV vaccination rates to improve HPV vaccination, and ultimately decrease HPV-related cancer burden. Trial Registration: NCT05057312. [ABSTRACT FROM AUTHOR]

Multispan bridges with simply supported girders are straightforward to construct and economical but have historically utilized expansion joints between spans. The negative long-term impacts of expansion joints are well-documented in the literature; eventual leaking causes damage to the girder ends and substructures. To avoid this deterioration associated with the use of expansion joints, link slabs may be used instead. However, the complex induced forces and deformations associated with link slabs are not fully understood and may damage the slab, reducing the life of the superstructure. This paper presents the results of a field study examining bonded link slab behavior under ambient (in-service) live and thermal loads on five Texas bridges. Typical Texas link slabs are not debonded at the girder ends, feature continuous longitudinal reinforcement, and incorporate partial-depth precast concrete panels. The five bridges were instrumented with displacement gauges at the girder ends, at both link slab and expansion joint locations, and strain gauges attached to the bottom of the bridge deck. Displacement, strain, and temperature data collected for a period of 1–2 weeks were used to estimate link slab mechanics. The results show differences in behavior between the differing link slab details, lateral deck stiffness characteristics, and continuous deck unit lengths. The increase in superstructure stiffness provided by the link slab is quantified. Longitudinal deck cracking and reinforcing steel yield behavior are predicted at each monitored link slab. The calculated displacement and strain data show that both live and thermal load effects should be considered in the design. [ABSTRACT FROM AUTHOR]

Copyright of Risk, Hazards & Crisis in Public Policy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Climate change and the associated sea level rise (SLR) are presenting newfound challenges to the port systems and coastal transportation infrastructure of southeast Texas. This paper introduces a Geographic Information Systems (GIS) based model designed to simulate inundation scenarios under various sea-level projections, aiming to assess the vulnerabilities of both port facilities and road networks. The study area encompasses a specific region within Jefferson County, southeast Texas, encompassing three major ports: Port Arthur, Beaumont, and Orange. Utilizing a high-resolution (1-m) Digital Elevation Model (DEM) derived from the 2017 LiDAR dataset, this model is integrated with NASA's sea-level rise projections to compute the extent and volume of inundation across low, medium, and high SLR scenarios. Drawing from monthly mean sea level data spanning from 1958 to 2020, the lowest SLR projections, derived from the relative sea-level trend measured at the Sabine Pass, TX gauge station, indicate a yearly increase of 6.16 mm, with a 95% confidence interval of +/- 0.74 mm. Projections for 2050 and 2,100 show the lowest SLR at 0.17 m and 0.48 m, respectively. In contrast, the medium to high RSLR projections under the IPCC SSP3-7.0 scenario for 2050 and 2,100 stand at 0.54 m and 1.34 m, respectively. The findings reveal that, under medium to high SLR scenarios, the extent of inundated areas in the study region is expected to expand by 12.4% in 2050 and 19.9% in 2,100, compared to the lowest SLR projection. Additionally, the length of submerged roadways is predicted to increase by 6.9% in 2050 and 13.3% in 2,100, in comparison to the lowest SLR projection. It is worth noting that some margin of error may be introduced due to factors such as the width of the port area and access roads, the high-resolution DEM, and the alignment of computed inundated areas with the existing topography. Overall, the manuscript highlights the urgency of proactive planning and underscores the importance of safeguarding critical infrastructure in the context of climate change and SLR. [ABSTRACT FROM AUTHOR]

A sewer system is a principal element of infrastructure in modern cities, accounting for massive amounts of public investments. Corrosion of manholes in the sewer system is a global issue, and millions of dollars are being spent on the maintenance, restoration, and replacement of deteriorated sewer networks. Concrete manholes in the sewer system are deteriorating due to the attack of sulfuric acid produced by microorganisms in a process termed microbial induced concrete corrosion (MICC), which reduces the lifespan of concrete sewer elements. The objective of this paper is to investigate the correlation between the gas- and liquid-phase sewer environmental factors and hydrogen sulfide concentration in the gas phase. The production, emission, and build-up of hydrogen sulfide gas in manholes is identified as a major cause of MICC in manhole shafts. The field study was conducted in more than 200 manholes in the City of Arlington (Texas, US). The data was collected every minute for 48 h to understand the trends of liquid- and gas-phase parameters such as hydrogen sulfide (H2S concentration), liquid and gas temperature, pH, DO, and relative humidity. The study also examines how gas-phase H2S concentrations vary with season; manhole design, including manholes' depth, slope, and presence of drop; and sewer flow conditions such as velocity and turbulence. Although no strong linear correlation was found between liquid-/gas-phase parameters, the manhole categories were found to play a significant role in H2S generation. The manholes with hydraulic jump generated the highest average H2S concentrations, followed by manholes with drops. High turbulence zones were observed in manholes of both categories, leading to H2S stripping from liquid to gas phase. The highest H2S concentration was recorded in summer, suggesting that higher liquid temperature resulted in increased bacterial activity, which generated greater liquid-phase sulfide. Greater Henry's law constants in summer, due to high temperatures, would have favored transfer of liquid-phase sulfide to the gas phase. [ABSTRACT FROM AUTHOR]

Copyright of European Journal of Applied Economics is the property of Singidunum University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Deep soil moisture data have wide applications in fields such as engineering construction and agricultural production. Therefore, achieving the real-time monitoring of deep soil moisture is of significant importance. Current soil monitoring methods face challenges in conducting the large-scale, real-time monitoring of deep soil moisture. This paper innovatively proposes a real-time prediction approach to deep soil moisture combining GNSS-R data and a water movement model in unsaturated soil. This approach, built upon surface soil moisture data retrieved from GNSS-R signal inversion, integrates soil–water characteristics and soil moisture values at a depth of 1 m. By employing a deep soil moisture content prediction model, it provides predictions of soil moisture at depths from 0 to 1 m, thus realizing the large-scale, real-time dynamic monitoring of deep soil moisture. The proposed approach was validated in a study area in Goodwell, Texas County, Oklahoma, USA. Predicted values of soil moisture at a randomly selected location in the study area at depths of 0.1 m, 0.2 m, 0.5 m, and 1 m were compared with ground truth values for the period from 25 October to 19 November 2023. The results indicated that the relative error (δ) was controlled within the range of ±14%. The mean square error (MSE) ranged from 2.90 × 10 − 5 to 1.88 × 10 − 4 , and the coefficient of determination ( R 2 ) ranged from 82.45% to 89.88%, indicating an overall high level of fitting between the predicted values and ground truth data. This validates the feasibility of the proposed approach, which has the potential to play a crucial role in agricultural production, geological disaster management, engineering construction, and heritage site preservation. [ABSTRACT FROM AUTHOR]

Objectives: The purpose of the current study was to investigate clinical outcomes in overhead athletes undergoing biceps tenodesis for the treatment of symptomatic, isolated SLAP tears involving the biceps-labral complex. Methods: A retrospective review of overhead athletes who underwent biceps tenodesis for a SLAP tear was performed. The American Shoulder & Elbow Surgeons (ASES) score, Visual Analogue Scale (VAS), Subjective Shoulder Value (SSV), patient satisfaction, willingness to undergo surgery again, revisions, and return to play (RTP) were evaluated. Psychological readiness to return to sport was evaluated using the SLAP-Return to Sport after Injury (SLAP-RSI) score. A p value of <0.05 was considered to be statistically significant. Results: The current study included 44 overhead athletes. The mean age was 34.9 (16-46), 79.5% were males, and the mean follow-up was 49 months (18-107). Overall, we found that 81.8% of patients returned to play their overhead sport following biceps tenodesis, and 59.1% of patients returned to the same or higher level of play. It took patients on average 8.7 months to return to play following biceps tenodesis. The mean SLAP-RSI score was 69.3, and 70.5 % of patients passed the SLAP-RSI threshold of 56. The mean scores for ASES, VAS, SSV, and satisfaction were 92, 0.8, 80.5, and 87.9%, respectively. No patients in our cohort required a revision surgery. Conclusions: This study found that athletes undergoing biceps tenodesis as the treatment for a symptomatic, isolated SLAP tear had a high rate of return to play, good functional outcomes, and a low rate of revision surgery. [ABSTRACT FROM AUTHOR]

In today's world of technological advancement higher data rate and data transmission with minimal memory requirement is gaining importance. At the same time it also important to preserve quality of data to be transferred from various types of distortions and to assess the quality at the receiving end. Hence perceptual image quality assessment is becoming more popular. This paper introduces a new approach in domain of no reference image quality assessment of jpeg compressed images using spatial features. Considering the fact that pixel distortion, blurring and edge information are important aspects as far as distortions are concern. A novel approach is presented in this paper to address the distortion categories. The results are obtained in conjunction with the subjective image quality assessment of train and test image categories. Also results are compared with full reference image quality assessment technique and parameters of full reference quality assessment. To achieve better accuracy algorithm is tested on LIVE Texas' image database and our own developed database. Results are found to be well correlating to the various parameters considered for the comparison purpose. [ABSTRACT FROM AUTHOR]

This paper deals with the design and Processor In the Loop implementation of an enhanced sliding mode control of three-phase permanent magnet synchronous motor. Studied control strategy is based on a state model expressed in the rotor reference. This work proposes new smooth functions replacing sign functions to reduce chattering phenomenon and integrates a simplified references calculation to reduce current module. It focuses on the study of these proposed techniques and their effect on motor waveforms. For code generation of the control algorithm, implementation, and validation by Processor In the Loop technique, a co-simulation platform based on Matlab/Simulink integrating Code Composer Studio and the development board LAUNCHXL-F28069M from Texas instruments have been created. The obtained results show that the proposed strategy reduces chattering by using a simple algorithm. [ABSTRACT FROM AUTHOR]

Continuity of operations for government is an evolving philosophy, much like exercises and after-action reports. Continuity continues to identify areas for growth and improvement as more people become involved in the conversation. This paper briefly describes the evolution of continuity in the USA and its application in the State of Texas. Moving forward, it discusses the application of the concept of 'whole community continuity' as the driving force of the Continuity Council in Texas, which focuses on preparedness at all levels, from individuals to private industry, to all levels of government. [ABSTRACT FROM AUTHOR]

This paper addresses the challenge of meeting increasing energy needs by assessing the potential of bioenergy as a sustainable resource option in South Central Texas. Available agricultural crop residues suitable for bioenergy production are evaluated from the 21 counties in South Central Texas Regional Water Planning Area (Region L). The residues produced and available for bioenergy are quantified according to the production areas for each field crop and tree area. Residue-to-product ratios of field crops are determined according to crop type and production quantity. Biomass potential of trees is calculated based on tree density and biomass production per tree. The results demonstrate that the potential productions of utilizable agricultural wastes are in the range of 898.7 t kt–1421.39 kt for Region L. The average annual energy potential is estimated at 19.27 PJ, and ranges between 14.36 and 24.18 PJ. The average potential biomass-based electricity production could compensate significant amount of coal-based electricity generated in the Texas and when agricultural wastes are available. [ABSTRACT FROM AUTHOR]

Two-dimensional (2D), depth-averaged shallow water equation (SWE) models are routinely used to simulate flooding in coastal areas – areas that often include vast networks of channels and flood-control topographic features and/or structures, such as barrier islands and levees. Adequately resolving these features within the confines of a 2D model can be computationally expensive, which has led to coupling 2D simulation tools to less expensive one-dimensional (1D) models. Under certain 1D–2D coupling approaches, this introduces internal constraints that must be considered in the generation of the 2D computational mesh used. In this paper, we further develop an existing automatic unstructured mesh generation tool for SWE models, ADMESH+, to sequentially (i) identify 1D constraints from the raw input data used in the mesh generation process, namely the digital elevation model (DEM) and land–water delineation data; (ii) distribute grid points along these internal constraints, according to feature curvature and user-prescribed minimum grid spacing; and (iii) integrate these internal constraints into the 2D mesh size function and mesh generation processes. The developed techniques, which include a novel approach for determining the so-called medial axis of a polygon, are described in detail and demonstrated on three test cases, including two inland watersheds with vast networks of channels and a complex estuarine system on the Texas, USA, coast. [ABSTRACT FROM AUTHOR]

In this paper, we present price and transaction information of fed cattle marketings to explore if differences exist in the quality grade of cattle marketed under different transaction types. In particular, we explore regional differences in marketings for cash, formula, forward, grid, and negotiated grid transactions from 2012 to 2022. Analysis shows that despite an industry trend toward higher-quality grade animals, most lowquality grade cattle are marketed in Texas, Oklahoma, or New Mexico using nonnegotiated pricing methods. [ABSTRACT FROM AUTHOR]

Rural and urban America have becoming increasingly divided, both politically and economically. Entrepreneurship can help rural communities catch back up by jumpstarting economic growth, creating jobs, and building resilience to economic shocks. However, less is known about firm creation in rural areas compared to urban areas. To that end, in this paper we ask: What factors predict firm creation in rural America? Our analysis, based on a comparative framework involving multiple machine learning modeling techniques, helps addresses three gaps in academic literature on rural firm creation. First, entrepreneurship research stretches across disciplines, often using econometric methods to identify the effect of a specific variable, rather than comparing the predictive importance of multiple variables. Second, research on firm creation centers on high-tech, urban firms. Third, modern machine learning techniques have not yet been applied in an integrated way to address rural entrepreneurship, a complex economic and policy problem that defies simple, monocausal claims. In this paper, we apply four machine learning methods (subset selection, lasso, random forest, and extreme gradient boosting) to a novel dataset to examine what social and economic factors are predictive of firm growth in rural Texas counties from 2008–2018. Our results suggest that some factors commonly discussed as promoting entrepreneurship (e.g., access to broadband and patents) may not be as predictive as socioeconomic ones (age distribution, ethnic diversity, social capital, and immigration). We also find that the strength of specific industries (oil, wind, healthcare, and elder/childcare) predicts firm growth, as does the number of local banks. Most factors predictive of firm growth in rural counties are distinct from those in urban counties, supporting the argument that rural entrepreneurship is a distinct phenomenon worthy of distinct focus. More broadly, this multi-model approach can offer initial, focusing guidance to policymakers seeking to address similarly complex policy problems. [ABSTRACT FROM AUTHOR]

Background: In recent years, the link between inflammation and bladder cancer (BC) has received much attention. However, there were no relevant bibliometric studies to analyze the inflammation-related research within this field of BC. Methods: We selected Web of Science Core Collection (WOSCC) as the data source to obtain articles and reviews on inflammation-related research within te field of BC from WOSCC's inception to October 10, 2022. The collected data were meticulously and manually screened, after which we used VOSviewer, CiteSpace, Biblioshiny and an online analysis platform (https://bibliometric.com/) to perform bibliometric analysis on the data and visualize the results. Results: A total of 4301 papers related to inflammation-related research within this field of BC were included in this study.The number of publications has steadily increased over the last decades (R²=0.9021). The top contributing country was the United States, O'Donnell, Michael A was the most published authors, the leading contributing institution was the University of Texas, and the leading contributing journal was JOURNAL OF UROLOGY. The keywords cooccurrence analysis indicated that "immunotherapy," "inflammation-related biomarkers," and "tumor microenvironment" were the hot spots and frontiers of research in this field. Conclusion: This study clarifies the contribution of countries, institutions, authors, and journals in inflammation-related research within this field of BC through a bibliometric approach and identifies research hotspots and frontiers in the field. Notably, these findings can help researchers to understand more clearly the relationship between inflammation and BC. [ABSTRACT FROM AUTHOR]

This article examines how Texan Revolutionaries portrayed the Texas Revolution as a struggle for modernity. In particular, numerous Anglo-Texans created a narrative in which they cast Santa Anna at the helm of a counter-enlightenment restoring Ancien Régime values. The Revolutionaries drew upon the discourse of the Mexican politician and Texas co-founder Lorenzo de Zavala. This article contests the portrayal of the Texas Revolution as a White and Anglo movement. This manuscript contributes to the historiography by examining Zavala's influence on the language of the Texas Revolution. Together, Zavala and the Texas Revolutionaries accused Santa Anna of fighting for monarchy and aristocracy. Furthermore, Texan revolutionaries argued the imminent restoration of Catholicism threatened their cherished liberties and freedoms. This was all the while Anglo-Texans portrayed their secession as a struggle for reason, virtue, and happiness. This analysis primarily utilizes the Mirabeau Lamar Papers to discern the sentiments and expressions of numerous individuals involved in the Texas Revolution. The following study contributes to the lacuna in the history of ideas in the Texas Republic. Furthermore, this article links Texas to the broader historiography of Atlantic Revolutions. [ABSTRACT FROM AUTHOR]

Background: Drug overdose deaths in Texas have been accelerating in recent years with an increase of 33% in the 12 months leading up to December 2020. Accurate counts of nonfatal overdoses – including associated aspects of overdose, such as substances involved, demographic information, and reversal agents administered is critical to increase timely and adequate response to individuals and communities in need. Methods: Twenty semi-structured interviews were conducted with harm reduction workers across four Texas counties to understand existing methods of reporting overdoses, naloxone dissemination/administration, and recommendations for improving overdose surveillance. Interviews were transcribed and emergent themes were identified based on the a priori research goals. Results: Findings highlighted a variety of overdose data collection methods and tools among harm reduction organizations including Excel spreadsheet, web-based TONI application, notes on personal cell phones, and paper notes. Types of overdose data collected varied widely. Participants noted existing methods are suboptimal and that there is a need for a unified, statewide reporting system to improve overdose data capture. Participants also highlighted that overdose surveillance should include "hidden populations" of people who use drugs that are not currently counted in surveillance methods as a result of not interacting with the healthcare system. Conclusions: Texas lacks a unified overdose reporting system to capture critical data to inform overdose response and prevention efforts. Nontraditional reporters may be critical toward improving overdose syndromic efforts and capturing data among hard-to-reach populations. Harm reduction organizations are uniquely positioned to facilitate reporting among community gatekeepers and people who use drugs. [ABSTRACT FROM AUTHOR]