Search

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]

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]

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]

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]

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]

The goal for the next generation of terrestrial reference frames (TRF) is to achieve a 1-mm- and 0.1-mm/yr-accurate frame realization through the combination of reference station solutions by multi-technique geodetic observatories. A potentially significant source of error in TRF realizations is the inter-system ties between the instruments at multi-technique stations, usually independently determined through ground-based local surveying. The quality of local tie surveys is varied and inconsistent, largely due to differences in measurement techniques, surveying instruments, site conditions/geometries, and processing methods. The Global Geodetic Observing System (GGOS) has tried to address these problems by issuing guidelines for the construction and layout of future multi-technique observatories, promoting uniformity and quality while minimizing existing problems with local surveying that are exacerbated over longer baseline distances. However, not every observatory is going to be able to completely satisfy these guidelines, and in this work, a successful endeavor to satisfy the accuracy goals while exceeding the GGOS baseline guideline is detailed for the McDonald Geodetic Observatory (MGO) in the Davis Mountains of Texas, USA. MGO consists of a VLBI Geodetic Observing System (VGOS), infrastructure in place for a Space Geodesy Satellite Laser Ranging (SGSLR) telescope, and several Global Navigation Satellite Systems (GNSS) stations spanning a 900 m baseline and a 120 m elevation change. The results of the local ties between the GNSS stations across the near-kilometer baseline, as measured from their antenna reference points, show sub-mm precision and 1 mm accuracy validated through repeatability across several surveys conducted in 2021as well as 1 mm consistency with the monthly averaged daily solutions of the GNSS-based positioning. In this paper, we report these results as well as the framework of the surveys with sufficient detail and rigor in order to give confidence to the quality claims and to present the novel design and techniques employed in the procedure, processing, and error-budget analysis, which were determined through iterative research methods across repeated survey campaigns. [ABSTRACT FROM AUTHOR]

In 2020, Texas was overrepresented in food insecure households. One avenue many food insecure households take to subsidize their food intake is the use of food pantries. Previous literature has identified many efforts to incorporate nutritional information and foods at pantry sites. However, few have considered how religious affiliation can impact organizational structure and agents in regards to nutritional focus. The purpose of this paper is to investigate perceptions of nutritional information, behaviors, and policies of the volunteers at our research sites and the how pantry operations impact the deployment of that information to clients. Our research question asks how do the religious elements of our research sites impact nutritional policy and concerns of food pantries? Using analysis of field notes generated from participant observation at 5 of the religiously-affiliated food pantries in Brazos County, TX, and a verbal survey on organizational nutrition policy administered to food pantry volunteers, we find that religious cultures at these food pantries create barriers to nutrition complementary to hegemonic nutrition. Our findings suggest that interventions targeting the improvement of organizational nutrition policy at local food pantries must consider organizational culture more critically, particularly religious elements. [ABSTRACT FROM AUTHOR]

States have adopted a variety of policies to encourage universities to expand research production, with the hope of supporting economic growth and competitiveness. This paper considers whether a state-level initiative succeeded in influencing university-based research outputs among regional public universities. We test whether the Texas Research Incentive Program increased research production at a set of state universities as measured by total research spending, federally-funded research spending, the number of scholarly publications, and the share of publications published in high impact factor journals. Using a novel dataset and difference-in-differences analytic strategy, we found that TRIP adoption was associated with a 19%-25% increase in research expenditures at emerging research universities in Texas relative to a matched set of comparable universities. However, TRIP did not influence federally-funded research expenditures or journal publication outputs. We also show that federally-funded research expenditures influence publication outputs — both in amount and quality — and that number of full-time faculty influences both federal research expenditures and publication outputs. We discuss contributions to the literature on regional public universities, loose coupling, and research production, as well as implications for policy. [ABSTRACT FROM AUTHOR]

This paper offers a meta‐analysis scoping study of doctoral dissertations completed in the last 20 years in one doctoral programme of Educational Leadership (EL) at a higher education institution in Texas, aiming at identifying topical foci, epistemology, methodology and main themes. Therefore, we systematically collected, documented, securitised and analysed completed dissertations following the steps identified by PRISMA guidelines. The review aimed to answer the following four questions: (1) What are the general trends of doctoral dissertations in the studied programme? (2) What is the topical foci of these dissertations? (3) What are the prevailing epistemological constructs and genres informing this work? (4) What are the gaps in this research focus within the scope of educational leadership and policy? Based on our analysis, four main key themes were identified: educational leadership and policy, public education, equity and social justice, and race and ethnicity. Further implications, utility of research and future dissertations in educational leadership in this programme and other similar programmes are fully discussed. [ABSTRACT FROM AUTHOR]

This research paper addresses the inaccuracies in the current methods for estimating the capacity value of photovoltaic (PV) plants, which rely heavily on large‐scale data and fail to represent the actual capacity value pattern accurately. The research conducts case studies in Belgium, Texas, and California to analyze the impact of different factors on capacity value. It proposes a new metric called the Marginal Moving‐Average Limited‐Hours (MMALH) Equivalent Load‐Carring Capability (ELCC) ‐ Based capacity value. The proposed metric reduces the dependence on hourly data and better represents capacity value. The results from real case studies validate the effectiveness of the new metric, highlighting its novelty and contribution to the assessment of capacity value in PV power systems. The study emphasizes the importance of accurately assessing the capacity value of PV compared to conventional units, considering environmental factors and system parameters. The study exposes the shortcomings in current metrics and advocates for the MMALH ELCC methodology as a more precise evaluation approach. The research suggests optimizing design, employing advanced tracking systems, enhancing maintenance practices, and ensuring effective grid integration to boost solar plant efficiency. Consistent monitoring and analysis of the utilization factor are vital for pinpointing improvement areas and augmenting productivity. [ABSTRACT FROM AUTHOR]

Carbon capture and sequestration from a stationary source comprises four distinct engineering processes: separation of CO2 from the other flue gases, compression, transportation, and injection into the chosen storage site. An analysis of the thermodynamic and transport properties of CO2 shows that dissolving this gas in seawater at depths more than 600 m is, most likely, an optimal long-term storage method; and that for transportation, the CO2 must be in the denser supercritical state at pressures higher than 7.377 MPa. The separation, compression, transportation, and injection processes require significant energy expenditures, which are determined in this paper using realistic equipment efficiencies, for the cases of two currently in operation coal power plants in Texas. The computations show that the total energy requirements for carbon removal and sequestration are substantial, close to one-third of the energy currently generated by the two power plants. The cost analysis shows that two parameters - the unit cost of the pipeline and the discount factor of the corporation - have a very significant effect on the annualized cost of the CCS process. Doubling the unit cost of the pipeline increases the total annualized cost of the entire CCS project by 36% and increasing the discount rate from 5% to 15% increases this annualized cost by 32%. [ABSTRACT FROM AUTHOR]

This paper discusses Texas Examinations of Educator Standards Program Languages Other Than English – Spanish exam (TExES LOTE – Spanish) and its potential bias, particularly against teacher candidates with Spanish as a heritage language (HL) background. In Texas, most teacher candidates, or college students of Spanish preparing for secondary teacher certification, are heritage speakers of Spanish. However, while they are competent Spanish speakers, many fail their TExES LOTE – Spanish exam. In light of recent demographic trends and a growing body of research on HL learners, Spanish teaching in higher education and, to a lesser extent, in secondary schools has begun to move away from teaching so-called prestigious varieties of Spanish (e.g., Spain) toward inclusion of other varieties of Spanish, especially those spoken in the U.S. and those that reflect students' heritage. Despite this pedagogical shift, we posit that TExES LOTE – Spanish exam does not reflect current Spanish curricular content, which negatively affects these students' performance. We provide examples and available exam statistics to support our claim. Through this conversation about the mismatch between student background and TExES LOTE – Spanish content, we hope to start a dialogue about a much-needed revision of this exam in the near future. [ABSTRACT FROM AUTHOR]

Accurate spatial estimation of extremes is an increasingly important topic in environmental research and risk assessment. Conditional bias (CB)-penalized kriging (CBPK) improves such estimation by minimizing linearly weighted sum of error variance and variance of Type-II error. However, CBPK requires skillful prescription of the weight for the CB penalty which is a significant challenge in practice. In this paper, we describe an extension of CBPK, referred to herein as adaptive conditional bias-penalized kriging (ACBPK), which objectively prescribes the weight for improved estimation of extremes without deteriorating performance in the unconditional mean squared error sense. For comparative evaluation in the real world, cross validation experiments were carried out for precipitation estimation using hourly rain gauge data in the Arkansas-Red River Basin (AB), central Texas (TX) and southeastern US (SE) areas. The results show that CB is detected for about 26, 24 and 25% of all data points in the AB, TX and SE cases, respectively, and that, given detection of CB, ACBPK reduces root mean square error of hourly precipitation exceeding 12.7 mm by 15, 21 and 9% and hourly precipitation exceeding 25.4 mm by 14, 26 and 10% relative to ordinary kriging (OK) for the AB, TX and SE cases, respectively. The overall findings indicate that, if accurate spatial estimation in the tails of the distribution is important or accurate modeling of spatiotemporally-varying correlation structure is a challenge, ACBPK should be favored over OK. [ABSTRACT FROM AUTHOR]

The research team developed a community-based, intergenerational intervention, the Spanish-language Healthy Buddy Program to alleviate transportation barriers experienced by Latinx older adults. College students were paired with Latinx older adults and helped them identify transportation- and health-related resources in their communities. During COVID-19, the program was implemented in Hillsborough County, Florida, and Dallas-Fort Worth Metroplex and San Antonio, Texas. This paper reports the study process and outcomes using quantitative and qualitative data collected in Texas (n = 25). Individual interviews indicated older adult participants were receptive to the program model and appreciated the roles student buddies played to help improve their mobility. [ABSTRACT FROM AUTHOR]

This paper presents original insights about the benefits of collaborative care in an internal medicine inpatient service at a Texas academic medical center. Collaborative care requires close and frequent coordination among all members of a patient care team - providers, case managers, social workers, specialists, and other clinical and professional staff. Hospitals and clinicians are concerned with whether the benefits accrued to patients and hospital operations outweigh the resource requirements imposed by this innovative integrated care approach. To investigate outcomes, the approach was implemented by one of its five teaching teams at the medical center hospital. Researchers then developed statistical models that suggested the effect of collaborative care on patient length of stay and discharge planning was favorable and statistically significant. Lasso and stepwise regression models were estimated that suggested a 9% decrease in expected length of stay –without increased readmissions – and an increased likelihood of being discharged before 2 pm to enable improved patient throughput and bed turnover. Additional patient survey data confirmed that patient satisfaction remained high for patients under the care of the collaborative care team. Discussions with hospitalists and nurses during and after implementation indicated that the new approach required a change in logistics and how patient care was performed. Our research suggests there is a corresponding 'learning effect' – the impact was more pronounced and significant once an attending physician had two or more separate rotations on the collaborative care team. [ABSTRACT FROM AUTHOR]

Blockchain technology, with its peer-to-peer trading feature, influences the management of energy consumption by offering the potential to transform transparency, efficiency, and sustainability within the energy sector. Nonetheless, there is a need to develop analytical decision-making models tailored for managing peer-to-peer energy transactions to improve energy resilience. Therefore, the purpose of this paper is to address the research question: How can energy distribution systems be protected via blockchain technology to enhance energy resilience and mitigate vulnerabilities to disruptions ? This paper employs a conceptual research model design and a mathematical decision-making model to address the research question by capturing the peer-to-peer trading capability of blockchain technology. The theory of planned behavior provides theoretical explanations for the proposed model. The sample includes longitudinal energy consumption data from 2015 to 2023 in Texas. The findings indicate a significant improvement in energy efficiency along with a considerable decrease in total electricity consumption. Post hoc analysis results reveal that the seasonal autoregressive integrated moving average algorithm is effective as a reliable input for the proposed mathematical model. The significant implications are to implement blockchain-based smart grids in which energy systems become more resilient to disruptions, as the peer-to-peer capability enables users to trade energy. The proposed model suggests that energy will be used more efficiently and effectively. This paper contributes to prior works by introducing a mathematical model that captures the trading behavior of energy consumers. Moreover, this paper proposes the SARIMA algorithm to predict energy demand. • A mathematical peer-to-peer trading model is presented to improve resilience. • A blockchain-based smart grid is presented for consumer energy consumption. • Five machine learning algorithms are presented in energy demand management. • Longitudinal energy consumption data of Texas is used in the model. • Theoretical support is provided using the theory of planned behavior. [ABSTRACT FROM AUTHOR]

• Integrated techno-economic assessment of the hydrogen value chain in the Permian Basin, spanning production, storage, and transportation. • Identified cost benefits in feedstock and tax credits for Permian-based hydrogen, balanced by transport expenses to Houston. • Scaling up to 412,000 metric tons/year can counterbalance transportation costs, positioning the Permian Basin competitively in the hydrogen market. This paper investigates the untapped potential of the Permian Basin, a multifaceted energy axis in Texas and adjoining states, in the emerging era of decarbonization. Aligned with current policy directives on regional hydrogen hubs, this study explores the viability of developing a hydrogen energy hub in the Permian Basin, thereby producing low-carbon intensity hydrogen from natural gas in the Basin and transporting it to the Greater Houston area. Diverging from existing literature, this study provides an integrated techno-economic evaluation of the entire hydrogen value chain in the Permian Basin, encompassing production, storage, and transportation. Furthermore, it comparatively analyzes the scenario of interest against an optimized base scenario, thereby underlining comparative advantages and disadvantages. The paper concludes that the delivered cost of Permian-based low-carbon intensity hydrogen to the Greater Houston area is $1.85/kg, benchmarked to the scenario, with hydrogen produced close to the Greater Houston area and delivered at $1.42/kg. Our findings reveal that Permian-based low-carbon intensity hydrogen production can achieve cost savings in feedstock ($0.25/kg) and potentially accrue a higher production tax credit due to a shorter gas supply chain to production ($0.33/kg). Nevertheless, a significant cost barrier is the expense of long-haul pipeline transport ($0.90/kg) from the Permian Basin to Houston as opposed to local production. Despite the obstacles, the study identifies a potential breakeven solution where increasing the production scale to at least 412,000 metric ton per year (about 3 steam-reforming plants) in the Permian Basin can effectively lower costs in the transport sector. Hence a scaled-up production can mitigate the cost difference and establish the Permian Basin as a competitive player in the hydrogen market. In conclusion, a SWOT analysis presents Strengths, Weaknesses, Opportunities, and Threats associated with Permian-based hydrogen production. [ABSTRACT FROM AUTHOR]

This paper investigates the strategic pricing behavior of a leader in a two-person, noncooperative game when profits depend on the purchasing response of a follower who not only reacts to changing prices instantaneously, but also builds long-lived consumption infrastructure that affects future demand. As an application of such a system, we formulate the relationship between these players in the natural gas and electricity generation industries as a bilevel problem. The leader is a natural gas producer whose objective is to maximize profit; the follower is an electric utility who solves a capacity expansion and dispatch problem with the objective of minimizing the cost of electricity generation and long-run investments. To find solutions, the bilevel problem is reformulated as a mixed-integer linear program by replacing the lower-level player's model with its Karush–Kuhn–Tucker conditions, which are necessary and sufficient for optimality here, and linearizing the upper-level player's objective function using the strong duality conditions of the lower-level problem. After parameterizing the model with publicly available data for Texas, we conduct scenario analyses through 2040, evaluating strategies of the natural gas producer under different policies regarding carbon taxes and incentives for carbon capture and storage (CCS). We then observe how the lower-level player responds to these strategies in terms of the evolution of the generation mix, added capacity, and CO 2 emissions. We also quantify the effects of strategic pricing by running scenarios where natural gas prices are fixed. Key findings include: (1) different levels of carbon tax and CCS incentive can have non-monotonic effects on the optimal natural gas price and producer profit, (2) effects of CCS incentives can spill over to technologies without CCS, and (3) omission of strategic pricing from the model not only decreases the profit for the producer but also can increase the costs for the electricity sector. • Bilevel model for interaction between natural gas producer and electric utility. • Carbon policy effects on electricity capacity mix, generation mix, and CO 2 emissions. • Effectiveness of different reformulations of bilevel programming problems. • Demonstration of how strategic natural gas pricing affects carbon policy outcomes. [ABSTRACT FROM AUTHOR]

Extreme temperature outages can lead to not just economic losses but also various non-energy impacts (NEI), such as increased mortality rates, property damage, and reduced productivity, due to significant degradation of indoor operating conditions caused by service disruptions. However, existing resilience assessment approaches lack specificity for extreme temperature conditions. They often overlook temperature-related mortality and neglect the customer characteristics and grid response in the calculation, despite the significant influence of these factors on NEI-related economic losses. This paper aims to address these gaps by introducing a comprehensive framework to estimate the impact of resilience enhancement not only on the direct economic losses incurred by customers but also on potential NEI, including mortality and the value of statistical life during extreme temperature-related outages. The proposed resilience valuation integrates customer characteristics and grid response variables based on a scalable grid simulation environment. This study adopts a holistic approach to quantify customer-oriented economic impacts, utilizing probabilistic loss scenarios that incorporate health-related factors and damage/loss models as a function of exposure for valuation. The proposed methodology is demonstrated through comparative resilient outage planning, using grid response models emulating a Texas weather zone during the 2021 winter storm Uri. The case study results show that enhanced outage planning with hardened infrastructure can improve the system resilience and thereby reduce the relative risk of mortality by 16% and save the total costs related to non-energy impacts by 74%. These findings underscore the efficacy of the framework by assessing the financial implications of each case, providing valuable insights for decision-makers and stakeholders involved in extreme-weather related resilience planning for risk management and mitigation strategies. • Framework for the value of customer resilience by extreme temperature-related outages • Resilience valuation using customer characteristics and grid variables in simulations • Loss scenarios using customer factors and temperature-based damage models • Applying resilience valuation to 2021 Winter Storm Uri use-case [ABSTRACT FROM AUTHOR]

• An unprecedented very large-scale T&D dataset covering Texas is made publicly available. • The sheer size of this dataset is intended to provide a challenge for the scientific community. • This lays the foundation for demonstrating the coordination of T&D. • It can help foster the improvement of algorithms and tools for years to come. Distributed energy resources, such as rooftop solar, have rapidly expanded in recent years, given declining costs and the desire to reduce carbon emissions. With more energy resources located in the lower-voltage distribution system, it is increasingly helpful to utilize combined transmission and distribution (T&D) system models to analyze interactions between these normally-distinct subsystems. This paper proposes a methodology for creating very large-scale, highly detailed, combined T&D systems that are synthetic—that is, free from non-public data—yet still realistic. The methodology creates very large-scale combined T&D systems by merging the most up-to-date techniques for creating synthetic distribution feeder networks with the latest methods for building synthetic, meshed bulk-power transmission networks. This methodology is demonstrated on a T&D system geolocated in Texas, and benchmarked with co-simulation results. Validation demonstrates that the resulting syn -texas-TDgrid synthetic test system realistically represents characteristics found in actual networks, addressing the lack of available T&D test systems. With over 15,000 feeders and 46 million electrical nodes, this T&D dataset has applications for research in optimal power flow algorithms, voltage control, reconfiguration, and T&D coordination schemes under high adoption of distributed energy resources. [ABSTRACT FROM AUTHOR]

School nurses represent cost-effective investments in students' health and educational success. Alternative high schools (AHSs) serve an understudied population of youth who are at risk for school dropout and face numerous social inequities, heightening their risk for poor health outcomes. In this two-phase explanatory sequential mixed methods study, we examined school nurse staffing in Texas AHSs. Findings suggest Texas AHSs face understaffing for familiar reasons common across districts (e.g., lack of funding), but also reveal potential deeper inequities. Quantitative findings indicate 71% of Texas AHSs have some form of nursing support, most often an on-call or part-time nurse. Qualitative findings support and enrich this finding with insights into the negative consequences of not having a full-time nurse, indiscriminate approaches to staffing AHSs, and how AHSs can be the only school in the district without a full-time nurse. Altogether, our findings reveal opportunities to better support AHSs with adequate nursing support. [ABSTRACT FROM AUTHOR]

Objectives. To demonstrate the spatially uneven effects of abortion restriction laws in Texas. Methods. We used network analysis to determine the change in distance to the nearest surgical abortion provider for 5253 Texas neighborhoods after the passing of Texas Senate Bill 8 (SB8; 2021) and the US Supreme Court's Dobbs v Jackson Women's Health Organization (2022) decision. We identified associations between key measures of neighborhood socioeconomic context and change in distance to providers using multivariable linear regression models. Results. After the Dobbs decision, Texas residents experienced an average change in distance to the nearest provider of 457 miles (SD = 179). Neighborhoods of concentrated disadvantage experienced the greatest increase in distance to abortion providers after SB8's passing, and neighborhoods with high levels of income inequality experienced the greatest increase in distance after the Dobbs decision. Conclusions. We document the rapidly changing abortion landscape in a highly restrictive state and show that women living in more disadvantaged and unequal areas are most affected by the increasing distance to providers. Public Health Implications. Our methods and findings will continue to be relevant in understanding the burden placed on women in areas where medical abortion has been restricted because of the Dobbs decision. (Am J Public Health. 2024;114(10):1024–1033. https://doi.org/10.2105/AJPH.2024.307652) [ABSTRACT FROM AUTHOR]

Objective No available scale, at the time of initial evaluation for necrotizing enterocolitis (NEC), accurately predicts, that is, with an area under the curve (AUC) ≥0.9, which preterm infants will undergo surgery for NEC stage III or die within a week. Study Design This is a retrospective cohort study (n = 261) of preterm infants with <33 weeks' gestation or <1,500 g birth weight with either suspected or with definite NEC born at Parkland Hospital between 2009 and 2021. A prediction model using the new HASOFA score (Hyperglycemia, Hyperkalemia, use of inotropes for Hypotension during the prior week, Acidemia, Neonatal Sequential Organ Failure Assessment [nSOFA] score) was compared with a similar model using the nSOFA score. Results Among 261 infants, 112 infants had NEC stage I, 68 with NEC stage II, and 81 with NEC stage III based on modified Bell's classification. The primary outcome, surgery for NEC stage III or death within a week, occurred in 81 infants (surgery in 66 infants and death in 38 infants). All infants with pneumoperitoneum or abdominal compartment syndrome either died or had surgery. The HASOFA and the nSOFA scores were evaluated in 254 and 253 infants, respectively, at the time of the initial workup for NEC. Both models were internally validated. The HASOFA model was a better predictor of surgery for NEC stage III or death within a week than the nSOFA model, with greater AUC 0.909 versus 0.825, respectively, p < 0.001. Combining HASOFA at initial assessment with concurrent or later presence of abdominal wall erythema or portal gas improved the prediction surgery for NEC stage III or death with AUC 0.942 or 0.956, respectively. Conclusion Using this new internally validated prediction model, surgery for NEC stage III or death within a week can be accurately predicted at the time of initial assessment for NEC. Key Points No available scale, at initial evaluation, accurately predicts which preterm infants will undergo surgery for NEC stage III or die within a week. In this retrospective cohort study of 261 preterm infants with either suspected or definite NEC we developed a new prediction model (HASOFA score). The HASOFA-model had high discrimination (AUC: 0.909) and excellent calibration and was internally validated. [ABSTRACT FROM AUTHOR]

Freshwater mussels preserve valuable information about hydrology, climate, and population dynamics, but developing seasonal chronologies can be problematic. Using clumped isotope thermometry, we produced high-resolution reconstructions of modern and historic (~ 1900) temperatures and δ18Owater from mussel shells collected from an impounded river, the Brazos in Texas, before and after damming. We also performed high-resolution growth band analyses to investigate relationships between mussel growth rate, rainfall, and seasonal temperature. Reconstructed δ18Owater and temperature vary little between the modern (3R5) and historic shell (H3R). However, a positive relationship between reconstructed δ18Owater and growth rate in H3R indicates that aside from diminished growth in winter, precipitation and flow rate are the strongest controls on mussel growth in both modern and pre-dam times. Overall, our results demonstrate (1) the impact, both positive and negative, of environmental factors such as flow alteration and temperature on mussel growth and (2) the potential for clumped isotopes in freshwater mussels as a paleohydrology and paleoclimate proxies in terrestrial environments. [ABSTRACT FROM AUTHOR]

Purpose: Effective communication between nonspeaking patients and providers is critical for the quality of care in intensive care units (ICUs). This study aims to evaluate perspectives of health care providers and nonspeaking patients on effective communication and communication barriers in the ICU. Method: Qualitative and quantitative survey methodologies were employed to evaluate providers' and patients' perspectives on effective communication. Rating scales were utilized to measure patients' frustration levels and communication effectiveness. Open-ended questions were employed to reflect on barriers to communication in the ICU, instances of ineffective communication, and recommendations for enhancing effective communication. Results: The results of the study suggest that nonspeaking patients experienced high levels of frustration due to ineffective communication. However, the data reveal that access to appropriate augmentative and alternative communication (AAC) strategies and materials could help mitigate patients' frustration. Providers mainly communicated via asking yes/no questions, which largely limited the information patients conveyed, leading to frequent communication breakdowns. Providers expressed a desire to participate in training programs to utilize appropriate AAC strategies and promote effective communication. Conclusions: This study provides preliminary survey results on perspectives of patients and providers on effective communication in the ICU. Both providers and patients reported experiencing challenges and frustration during their communication, due to barriers such as providers' insufficient training experience and lack of access to AAC materials. Skill training is warranted to promote effective patient-provider communication in intensive care settings. [ABSTRACT FROM AUTHOR]

The purpose of this study is to highlight Mexican American Studies programs in community colleges, a sector where Ethnic Studies has largely gone unstudied. Drawing on interviews from 13 faculty members across Texas, this study describes these instructors' approach to teaching and the impact they feel this type of curriculum has on students' academic journeys. The findings suggest that MAS curriculum has a positive impact on Latina/o/x students' cultural pride and helps them connect their racial and cultural background to their education. [ABSTRACT FROM AUTHOR]

Mental health professionals have relied primarily on clinical evaluations to identify in vivo pathology. As a result, mental health is largely reactive rather than proactive. In an effort to proactively assessmood, we collected continuous neurophysiologic data for ambulatory individuals 8-10 h a day at 1 Hz for 3 weeks (N=24). Data were obtained using a commercial neuroscience platform (Immersion Neuroscience) that quantifies the neural value of social-emotional experiences. These data were related to self-reported mood and energy to assess their predictive accuracy. Statistical analyses quantified neurophysiologic troughs by the length and depth of social-emotional events with low values and neurophysiologic peaks as the complement. Participants in the study had an average of 2.25 (SD = 3.70, Min = 0, Max = 25) neurophysiologic troughs per day and 3.28 (SD = 3.97, Min = 0, Max = 25) peaks. The number of troughs and peaks predicted daily mood with 90% accuracy using least squares regressions and machine learning models. The analysis also showed that women were more prone to low mood compared to men. Our approach demonstrates that a simple count variable derived from a commercially-available platform is a viable way to assess low mood and low energy in populations vulnerable to mood disorders. In addition, peak Immersion events, which are mood-enhancing, may be an effective measure of thriving in adults. [ABSTRACT FROM AUTHOR]

Purpose: The COVID-19 pandemic thrust telepractice into the mainstream as a primary service delivery model. While some populations and providers were adversely impacted by this shift, there were some intervention approaches that became even more popular. Parent-mediated intervention (PMI) has been shown to be effective through both in-person and telepractice service delivery models. With PMI, caregivers learn language facilitation strategies and implement them with their child. Project SKILLS (Skills and Knowledge for Language Learning Success) is a PMI program for autistic children funded by a state-level autism grant program. The primary goal of SKILLS is training caregivers in language facilitation techniques to promote communication and language skills. It uses the Project ImPACT (Improving Parents as Communication Teachers) curriculum that is commercially available and supported by previous research. SKILLS also includes variations for neurodiversity-affirming practice and culturally and linguistically diverse families. Project SKILLS has offered both in-person and telepractice delivery since its inception in 2016, making it possible to compare results across the two modalities. Conclusions: Project SKILLS has successfully implemented PMI for autistic children through both in-person and telepractice sessions. Clinically, children have made similar gains in social communication and language regardless of the modality. Caregivers also demonstrated similar progress with intervention fidelity, with some added advantages for families participating via telepractice. Telepractice may become a preferred service delivery model of PMI, especially for families living in geographically inaccessible locations with limited access to qualified providers. [ABSTRACT FROM AUTHOR]

Objective Necrotizing enterocolitis (NEC) primarily affects preterm, especially small for gestational age (SGA), infants. This study was designed to (1) describe frequency and timing of NEC in SGA versus non-SGA infants and (2) assess whether NEC is independently associated with the severity of intrauterine growth failure. Study Design Retrospective cohort study of infants without severe congenital malformations born <33 weeks' gestational age (GA) carried out from 2009 to 2021. The frequency and time of NEC were compared between SGA and non-SGA infants. Multivariate logistic regression was used to assess whether NEC was independently associated with intrauterine growth restriction. Severe growth restriction was defined as birth weight Z -score < −2. Results Among 2,940 infants, the frequency of NEC was higher in SGA than in non-SGA infants (25/268 [9.3%] vs. 110/2,672 [4.1%], respectively, p < 0.001). NEC developed 2 weeks later in SGA than non-SGA infants. In multivariate analysis, the adjusted odds of NEC increased with extreme prematurity (<28 weeks' GA) and with severe but not moderate growth restriction. The adjusted odds of NEC increased with urinary tract infection or sepsis within a week prior to NEC, were lower in infants fed their mother's own milk until discharge, and did not change over five epochs. NEC was independently associated with antenatal steroid (ANS) exposure in infants with birth weight (BW) Z -score < 0. Conclusion NEC was more frequent in SGA than in non-SGA infants and developed 2 weeks later in SGA infants. NEC was independently associated with severe intrauterine growth failure and with ANS exposure in infants with BW Z -score < 0. Key Points We studied 2,940 infants <33 weeks' GA. We assessed NEC. NEC was more frequent in SGA infants. NEC occurred 2 weeks later in SGA infants. NEC was associated with severe growth restriction. [ABSTRACT FROM AUTHOR]

Fuzzy neural network systems (FNNSs) can incorporate the merits of fuzzy logic systems (FLSs) and neural networks (NN). This paper designs a type of non-singleton FNNSs for forecasting issues. The proposed hybrid backpropagation (BP) algorithms and recursive least square (RLS) algorithms are used for optimizing the parameters of antecedents, input measurements, and consequents simultaneously. Two computer simulation examples based on the data of European Network on Intelligent Technology (EUNITE) and data of west Texas intermediate (WTI) crude oil price are used for testing. Convergence analysis shows that the hybrid optimized FNNSs have very high generalization ability. [ABSTRACT FROM AUTHOR]

Responding to the underutilization of mental health services in Asian American communities, we examined factors associated with their willingness to use mental health counseling. Applying Andersen's Behavioral Health Service Model, we focused on the role of mental health needs and prior use of mental health counseling in shaping the attitudes toward mental health counseling of diverse groups of Asian Americans. We conducted a secondary analysis of data from 2,609 Asian Americans aged 18 or older who participated in the Asian American Quality of Life (AAQoL) survey conducted in central Texas. Logistic regression models of willingness to use mental health counseling were tested with predisposing (age, gender, marital status, education, nativity, and English-speaking ability), mental health needs (mental distress and self-rated mental health) and enabling (prior use of mental health counseling) variables. About 67% of the overall sample indicated their willingness to use mental health counseling. Individuals who met the criteria for mental distress showed 17% lower odds of willingness to use mental health counseling. The enabling role of prior use of mental health counseling was supported; those who had used counseling were over three times more likely to be willing to use counseling in the future than their counterparts without such an experience. Given the inverse association between mental health needs and the willingness to use mental health counseling, further attention should be paid to improving Asian Americans' recognition of mental health symptoms and awareness of the benefit of mental health services. The enabling role of prior use of counseling also highlights the importance of increasing the exposure to mental health services for Asian Americans. In efforts to promote mental health literacy, reduce cultural stigma, and advocate for mental health service use, consideration of cultural and linguistic diversity within the Asian American population is imperative. [ABSTRACT FROM AUTHOR]

Anthropogenic activity in coastal areas can damage marine habitats and alter marine mammal behavior and habitat use. Understanding behavioral associations with diverse habitat features in industrialized coastal areas is crucial for marine mammal conservation management. A shore-based digital theodolite was used to assess the behavioral states and habitat use of common bottlenose dolphins (Tursiops truncatus) off Port Aransas, Texas across seasons. The relationship between behavioral states and environmental and geographical variables were analyzed. Behavioral hotspots were identified. Dolphins frequently foraged (46%), indicating the area is an important feeding ground. Dolphins also traveled (25%) and milled (22%), with less frequent occurrences of socializing (6%) and resting (1% of observations). Season, time of day, and distance to shoreline were significant predictors of foraging and traveling behavioral states. Dolphins engaged in all behavioral states closer to seawall shorelines than to mangroves and natural seagrass beds, suggesting that hard shoreline features may influence daily activity patterns. Despite daily anthropogenic operations, bottlenose dolphins use features of the industrialized area (i.e., deeply dredged channels, human-engineered seawalls) to engage in a variety of behaviors. Monitoring of dolphin behavioral states and habitat use in active ship channels are needed to assess changes from baseline data from increasing coastal development and vessel activities. [ABSTRACT FROM AUTHOR]

The University of Texas at El Paso (UTEP), a Hispanic Serving and Carnegie R1 institution, serves as a pathway for socioeconomically diverse Hispanic/Latino (H/L) health profession students via equal-access strategies. The Center for Institutional Evaluation, Research, and Planning data illustrates UTEP's success in graduating H/L health professionals (i.e., allied health, nursing, pharmacy, and psychology) students between 2014 and 2023. Nearly 90% of these graduates are employed in Texas one year after graduation, and 85% remain employed after 10 years. (Am J Public Health. 2024;114(S6):S472–S477. https://doi.org/10.2105/AJPH.2024.307655) [ABSTRACT FROM AUTHOR]

This qualitative study investigated the status of technology integration in Texas adult education and literacy classrooms from the perspective of program directors. Researchers conducted 15 semi-structured interviews to learn about technology integration. The findings revealed that available technology resources, teaching and integrating digital literacy skills, professional development opportunities, and IT support contributed to the success of technology integration. In contrast, limited access to technology resources and the internet, professional development costs, and instructors’ time and skill constraints were barriers to integrating technology into adult education and literacy classrooms. Providing various resources and ongoing support to improve technology integration in adult education and literacy programs is necessary. Recommendations for practice and future research are provided. [ABSTRACT FROM AUTHOR]

Feral populations of aoudad (Ammotragus lervia) occur in Texas bighorn sheep (Ovis canadensis) habitat and pose several conceptual ecological threats to bighorn sheep re-establishment efforts. The potential threat of disease transmission from aoudad to bighorn sheep may exacerbate these issues, but the host competency of aoudad and subsequent pathophysiology and transmissibility of pneumonic pathogens involved in the bighorn sheep respiratory disease complex is largely unknown. Because the largest population-limiting diseases of bighorn sheep involve pathogens causing bronchopneumonia, we evaluated the host competency of aoudad for Mycoplasma ovipneumoniae and leukotoxigenic Pasteurellaceae. Specifically, we described the shedding dynamics, pathogen carriage, seroconversion, clinical patterns, and pathological effects of experimental infection among wild aoudad held in captivity. We found that aoudad are competent hosts capable of maintaining and intraspecifically transmitting Mycoplasma ovipneumoniae and Pasteurellaceae and can shed the bacteria for 53 days after exposure. Aoudad developed limited clinical signs and pathological findings ranged from mild chronic lymphohistiocytic bronchointerstitial pneumonia to severe and acute suppurative pneumonia, similarly, observed in bighorn sheep infected with Mycoplasma spp. and Pasteurellaceae bacteria, respectively. Furthermore, as expected, clinical signs and lesions were often more severe in aoudad inoculated with a combination of Mycoplasma ovipneumoniae and Pasteurellaceae as compared to aoudad inoculated with only Mycoplasma ovipneumoniae. There may be evidence of interindividual susceptibility, pathogenicity, and/or transmissibility, indicated by individual aoudad maintaining varying severities of chronic infection who may be carriers continuously shedding pathogens. This is the first study to date to demonstrate that aoudad are a conceptual disease transmission threat to sympatric bighorn sheep populations due to their host competency and intraspecific transmission capabilities. [ABSTRACT FROM AUTHOR]

The article focuses on the emergence of clade 2.3.4.4b avian influenza A(H5N1) in North America and its potential impact on mammalian hosts, including humans, contrasting with the susceptibility of cattle primarily to influenza D virus. Topics include the investigation into influenza virus infections among dairy cattle in Texas, where veterinary diagnostic laboratories initially explored other pathogens before considering influenza A virus as a possible cause.