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A continuous monitoring of neurological status can help in reporting the physical and mental health of a person. This can be capitalized for building a healthcare tracking system using a wearable device and a handheld mobile device. In this paper, we have used the non-EEG physiological biosignals dataset which gives practicability among subjects for acquiring data easily from wearable device sensors linearly and comfortably rather than the way of putting the subjects in a cumbersome setup laboratory. This paper proposes a custom fully convolutional-LSTM (FCN-LSTM) network to identify the neurological status of a subject using multivariate time series physiological sensor data. The proposed architecture uses parallel stacks of the convolutional layers and LSTM cells. This combination of different network types is significant for the selected problem as the fully convolutional section of the model extracts the local spatial features in the data, while the LSTM network handles the high-level features and temporal dependencies. The proposed FCN-LSTM model yielded a high accuracy of 98.6% and a precision of 98% on the non-EEG dataset from UT-Dallas. The average accuracy of single-subject results of the dataset using the proposed model was observed to be 99.26%. The results from the proposed model are significantly improved when compared with various state-of-the-art works on this problem. These results strongly suggest that this model, when put on a wearable device, can be effectively used to detect the neurological status or stress that the subject may be going through in real time. [ABSTRACT FROM AUTHOR]

This article presents the hardware and software architectures used to implement the Modbus Extension (ModbusE) IIoT gateway, the performance of the acquisition cycle at the PRU real-time programmable core level, the acquisition cycle communication flow—dispatcher—OPC UA server (Linux)—OPC UA client (Windows) as well as the performance analysis of data communications between the IIoT ModbusE gateway and the OPC UA client (Windows). In order to be able to implement both the ModbusE acquisition cycle and the OPC UA server, the BeagleBone Black Board was chosen as the hardware platform. This board uses the Sitara AM335x processor (Texas Instruments (TI), Dallas, TX, USA) from Texas Instruments. Thus, the acquisition cycle was implemented on the PRU0 real-time core, and the OPC UA server, running under the Linux operating system, was implemented on the ARM Cortex A8 processor. From the analysis of the communication speed of the messages between the OPC UA client and the ModbusE servers, it was found that the ModbusE acquisition cycle speed was higher than the acquisition speed of the OPC UA client. [ABSTRACT FROM AUTHOR]

Neglecting the velocity reduction in the induction zone of wind turbines can lead to overestimates of power production predictions, and, thus, of the annual energy production for a wind farm. An experimental study on the induction zone associated with wind turbine operations is performed in the boundary‐layer test section of the BLAST wind tunnel at UT Dallas using stereo particle image velocimetry. This experiment provides a detailed quantification of the wind speed decrease associated with the induction zone for two different incoming flows, namely, uniform flow and boundary layer flow. Operations of wind turbines in different regions of the power curve are modeled in the wind tunnel environment with two porous disks with a solidity of 50.4% and 32.3%, which correspond to thrust coefficients of 0.71 and 0.63, respectively. The porous disks are designed to approximate the wake velocity profiles previously measured for utility‐scale wind turbines through scanning wind LiDARs. The results show that the streamwise velocity at one rotor diameter upwind of both disks decreases 1% more for the boundary layer flow than for the uniform flow. Further, the effect of shear in front of the disk with a higher thrust coefficient can be observed until 1.75 rotor diameter upwind of the disk, whereas for the disk with a lower thrust coefficient, the effect of shear becomes negligible at 1.25 rotor diameter upwind. It is found that at one rotor diameter upwind, for both incoming flows, the disk having a higher thrust coefficient has 2% more velocity reduction than the lower‐thrust‐coefficient disk. The results suggest that the variability in wind shear and rotor thrust coefficient, which is encountered during typical operations of wind turbines, should be considered for the development of improved models for predictions of the rotor induction zone, the respective cumulative effects in the presence of multiple turbines, namely, wind farm blockage, and more accurate predictions of wind farm power capture. [ABSTRACT FROM AUTHOR]

Magnum Hunter Resources Corporation (MHRC) was an oil and gas company headquartered near Dallas, TX. Although the company grew rapidly through acquisitions, the accounting department did not keep pace with the company's growing size and sophistication. Management identified this as an internal control deficiency (ICD) prior to issuing the 2011 financial statements but did not disclose it because management underestimated its severity. The company later disclosed multiple material weaknesses when it restated its financial statements. This case study is designed for use in the undergraduate or graduate audit classroom to examine the classification and disclosure requirements for ICDs. After completing this case study, students will be able to apply professional standards to classify ICDs; critique the decision-making process of management, consultants, and auditors tasked with evaluating ICDs; and consider the impact of material weakness disclosure on investors. JEL Classifications: M41; M42. [ABSTRACT FROM AUTHOR]

A major concern in the ongoing debate over school choice is whether private schools help to increase their students' levels of tolerance necessary for a functioning democracy in the United States. Over 40 years ago, scholars at the University of Minnesota created a survey which measured political knowledge, political tolerance, perceived threats from opposing groups, and support for democratic norms anchored in each respondent's view of the political group they find most distasteful. In 1997, researchers at various universities used a similar survey instrument to derive responses from students in eighth-grade social studies classes who were enrolled in seven public and twenty-four private schools in New York City and Dallas/Fort Worth, Texas. Those original data remained archived and unexamined for decades. We analyze those data using Ordinary Least Squares (OLS) and rigorous Nearest Neighbor Matching (NNM) methods based on propensity scores. We find that students who attended private schools demonstrate higher levels of political knowledge and stronger support for democratic norms when compared to observationally similar students who attended public schools. [ABSTRACT FROM AUTHOR]

Forecast sensitivity to observation (FSO) methods have become increasingly popular over the past two decades, providing the ability to quantify the impacts of various observing systems on forecasts without having to conduct costly data denial experiments. While adjoint- and ensemble-based FSO are employed in many global operational systems, their use for regional convection-allowing data assimilation (DA) and forecast systems have not been fully examined. In this study, ensemble FSO (EFSO) is explored for high-frequency convective-scale DA for a severe weather case study over the Dallas–Fort Worth testbed. This testbed, originally established by the Collaborative Adaptive Sensing of the Atmosphere (CASA) project, aims to improve high-resolution DA systems by assimilating a variety of existing state and regional mesoscale observing systems to fill gaps of conventional observing networks. This study utilizes EFSO to estimate relative impacts of nonconventional surface observations against conventional observations, and further incorporates assimilated radar observations into EFSO. Results show that, when applying advected localization and a neighborhood upscale averaging technique, EFSO estimates remain correlated and skillful with the actual error reduction of all assimilated observations for the duration of 2-h forecasts. The ability for EFSO to verify against other metrics (surface T, u, υ, q) beside energy norms is also demonstrated, emphasizing that EFSO can be used to evaluate impacts of specific parts of the forecast system rather than integrated quantities. Partitioned EFSO revealed that while conventional and radar observations contributed to most of the total energy, nonconventional observations contributed a significant percentage (up to 25%) of the total impact to surface thermodynamic fields. [ABSTRACT FROM AUTHOR]

The green-belly stink bug (Diceraeus melacanthus Dallas (Hemiptera: Pentatomidae)) is a key pest of corn-soybean crop systems and the management of this pest is difficult due to behavioral characteristics. However, products that alter its behavior, such as arrestants, dislodgers, and phagostimulants, have been used in an attempt to improve the effectiveness of chemical control. In this study, the effect of these products on the walking behavior of nymphs and adults of D. melacanthus was initially evaluated through computational behavioral tracking (Ethovision system). Adults of D. melacanthus exposed to the dislodgers Creolin Pearson and Quimifol S450 (sulfur) significantly increased the distance covered and the walking speed. On the other hand, the only treatment that significantly affected the walking behavior of nymphs was the treatment with soy milk (phagostimulant). The physical–chemical analyses indicated considerable changes in the pH and electrical conductivity of mixtures of such products with insecticides from different chemical groups, as well as lack of homogeneity (physical incompatibility). Nevertheless, none of the products tested improved the control efficacy of an insecticide based on imidacloprid + beta-cyfluthrin, either in laboratory tests (contact bioassay) or in tests conducted in corn crops during 2 crop harvests. Thus, the association of these products in a tank mixture does not increase the control levels of D. melacanthus in post-emergence of maize and may have an antagonistic effect in some associations. [ABSTRACT FROM AUTHOR]

The Air Quality Index (AQI), developed by the United States Environmental Protection Agency (USEPA), has been providing the public with crucial information regarding the status of contamination of the atmosphere for the past 45 years. Prior to introduction of the AQI, only a handful of metropolitan areas reported on air quality, and each region decided on its own metric. The inception of a single AQI helped homogenize the air quality metrics across the nation and indeed served as an important future template for other governmental and regulatory agencies across the world. The formulators had the foresight to recognize that our understanding of air pollution and its effects may change over time, which are likely to change regulatory limits. They used a dynamic framework to define the AQI, such that the broad definition or principle does not need to change with every change in regulatory limits or policy, and the fundamental goal of alerting the public to deleterious air quality is not affected. The establishment of the AQI increased public awareness of the importance of clean air and has helped muster support for air quality and emission regulations. The National Ambient Air Quality Standards (NAAQS) set forth by the USEPA provides acceptable levels of criteria pollutants – namely carbon monoxide, lead, nitrogen dioxide, ozone, particulate matter, and sulfur dioxide. A comparison of the actual levels, as compared to the regulatory limits (since the cessation of leaded gasoline, lead is no longer included in the index), are used as the basis for the AQI. As the regulatory limits change, so does the exact evaluation of the AQI, making it a living index. In this paper, we provide a historical overview of the Air Quality Index, the Federal Reference Methods (FRMs) vs. Federal Equivalent Methods (FEMs) for measuring them, and as an illustrative example, we discuss the air quality for Dallas-Ft. Worth, currently the fourth most populous metropolitan region in the United States, vis-a-vis the reported AQI. [Display omitted] • Origin and formulation of the Air Quality Index. • The pollutants forming the basis of the AQI and official methods to measure them. • Accessing back trajectories and other meteorological data to assess mesoscale transport. [ABSTRACT FROM AUTHOR]

A pentatomid bug Bathycoelia indica Dallas, 1851 is reported as a pest of pomegranate plantation in Maharashtra (India). Brief re-description of the species, including that of male and female genitalia, eggs, some nymphal stages and live adults, with many digital illustrations, is provided. [ABSTRACT FROM AUTHOR]

Background: In the United States, cardiovascular diseases (CVD) are the leading cause of death and disability in women. CVD-modifiable risk factors, including poor diet quality and inadequate physical activity, can be addressed through evidence-based interventions (EBIs). Strong Hearts Healthy Communities (SHHC) is an EBI that has demonstrated effectiveness in reducing CVD risk and improving health outcomes among rural white women. The aims of this study were to understand the general health, diet, and physical activity-related needs and goals of women living in an urban community, to inform the tailoring and adaptation of the SHHC EBI to an urban setting and more diverse population. Methods: Focus groups (FGs) were conducted with African American/Black and Hispanic/Latinx women in the Dallas metropolitan area who had a BMI ≥ 25 kg/m2 and engaged in ≤ 150 min per week of moderate physical activity. The data were coded using a team-based, deductive, and thematic analysis approach, that included multiple coders and in-depth discussions. Results: Four FGs with a total of 18 participants (79% Black and 21% Latinx) were conducted, and three themes were developed: (1) participants had adequate knowledge and positive attitudes towards healthy living but faced many barriers to practicing healthy behaviors; (2) culturally-based beliefs and community practices exerted a strong influence on behaviors related to food and stress, revealing barriers to healthy eating and generational differences in stress and stress management; (3) participants desired a more individualized approach to nutrition and physical activity interventions that included familiar and enjoyable activities and social support centered around shared health goals. Conclusions: The SHHC intervention and similar health programs for Black/African American and Hispanic/Latinx women in urban settings should emphasize individualized nutrition and practical skills for healthy eating with accessible, familiar, and enjoyable exercises. Additionally, stress management strategies should be culturally and generationally sensitive and social support, whether through family, friends, or other program participants, should be based on shared health goals. [ABSTRACT FROM AUTHOR]

Public administration scholars, and those in other fields such as business management and social psychology, have long been interested in the effects of workforce diversity on performance. Results thus far are decidedly mixed, in large part because different research traditions operate at different levels of organization and test different performance measures. Drawing from the broader literature on diversity outside public administration, we focus specifically on work team, as the unit of analysis, in this article. We argue that intragroup conflict on a diverse team is potentially beneficial when lower levels of trust and cohesion among group members reduce counterproductive work behavior and thus improve performance. We test this assertation in an analysis of police use of force on citizens in Dallas, TX, between 2013 and 2020. Findings show that demographically diverse teams reduce the use of force against citizens. The largest effects are found in response groups that include variation on both race/ethnicity and gender. We conclude with a discussion of these results and the implications for research on diversity and social equity. Limitations are also discussed. [ABSTRACT FROM AUTHOR]

To investigate the physiological response and uptake characteristics of three genotypes of Dianthus caryophyllus to Cr stress, we used a heavy metal-contaminated soil sample from a lead-zinc mine in a pot trial to determine several parameters, including plant height, stem thickness, root architecture, biomass, heavy metal accumulation and transport capacity under different levels of Cr contamination. We discovered a dosage effect in the influence of the heavy metal Cr on the growth of Dianthus caryophyllus. Under low-dose conditions, it elicited a protective response favoring plant growth, whereas under high accumulation conditions, it inhibited plant growth. Additionally, chromium stress increased the growth of plant roots. In the range of chromium concentrations between 0-100 mg/kg, the enrichment and transit coefficient of the three species, namely Freedom, Master, and Dallas decrease as the concentration of chromium increases. The enrichment coefficient follows the order Freedom > Dallas > Master, whereas the transit coefficient follows the order Master > Freedom > Dallas. All three genotypes of Dianthus caryophyllus exhibited tolerance, accumulation, and transport capacities when subjected to chromium stress. As a result, they can serve as reference plants for on-site remediation of heavy metals in soils contaminated with tailings in mining regions. [ABSTRACT FROM AUTHOR]