THE AMERICAN CORRECTIONAL HEALTHCARE SYSTEM IS AILING: TECHNOLOGY INNOVATION AS A PRESCRIPTION FOR PENAL SYSTEM HEALTHCARE DELIVERY

The U.S. corrections industry has a history of poor inmate healthcare delivery, with penal-system reform advocates and other stakeholders highlighting these failures. Inmates receiving poor medical and psychiatric care behind jail walls experience greater difficulty becoming self-sufficient, and this situation contributes to the nation’s recidivism problem. Caring for inmates is often a neglected proposition and because of this, the U.S. courts impose legal requirements that inmates receive healthcare. Access to quality healthcare specialists for inmates led the penal system to investigate and implement use of telehealth during the 1990s. This thesis investigates how the evolving field of telehealth and emerging technologies may contribute to improved inmate healthcare in the future. A myriad of factors discussed in the thesis pose as challenges to implementing innovations that could improve penal system healthcare. For all the challenges confronting corrections administrators and criminal reform advocates, the corrections system is at a crossroads, as there is potential to modernize jail facilities and use technology to improve the safety and healthcare of inmates, corrections officers and those who render care. Investing in technology infrastructure that supports emerging technologies could also facilitate simpler integration of future innovations that address suicide, mental illness and other medical health maladies that would otherwise go unaddressed.Civilian, Dallas Fire-Rescue DepartmentApproved for public release. Distribution is unlimited

Adaptive data acquisition multiplexing system and method

A reconfigurable telemetry multiplexer is described which includes a monitor-terminal and a plurality of remote terminals. The remote terminals each include signal conditioning for a plurality of sensors for measuring parameters which are converted by an analog to digital converter. CPU's in the remote terminals store instructions for prompting system configuration and reconfiguration commands. The measurements, instructions, and the terminal's present configuration and status data are transmitted to the monitor-terminal and displayed. In response to menu-driven prompts generated and displayed at the monitor-terminal, data generation request commands, status and health commands, and the like are input at the monitor-terminal and transmitted to the remote terminals. The CPU in each remote terminal receives the various commands, stores them in electrically alterable memory, and reacts in accordance with the commands to reconfigure a plurality of aspects of the system. The CPU in each terminal also generates parameter measurements, status and health signals, and transmits these signals of the respective terminals to the monitor-terminal for low data rate operator viewing and to higher rate external transmission/monitor equipment. Reconfiguration may be in real time during the general period of parameter measurement acquisition, and may include alteration of the gain, automatic gain rescaling, bias, and or sampling rates associated with one or more of the parameter measurements made by the remote terminals

Anomalous metamagnetic-like transition in a FeRh/Fe3_3Pt interface occurring at T120 K in the field-cooled-cooling curves for low magnetic fields

We report on the magnetic properties of a special configuration of a FeRh thin film. An anomalous behavior on the magnetisation vs. temperature was observed when low magnetic fields are applied in the plane of a thin layer of FeRh deposited on ordered Fe$_3$Pt. The anomalous effect resembles a metamagnetic transition and occur only in the field-cooled-cooling magnetisation curve at temperatures near 120 K in samples without any heat treatment.Comment: 7 pages, 5 figures. arXiv admin note: text overlap with arXiv:1008.195

El Sol (1977-08-24)

Vol.2, no.4https://scholarworks.utrgv.edu/el_sol/1007/thumbnail.jp

Validity of Daily Physical Activity Measurements of Fitbit Charge 2

Physical activity monitors collect continuous data to provide a summary of daily activity. The Fitbit Charge 2 monitors heart rate as well as steps, calories, and active minutes throughout the day. There is currently no research validating the Fitbit Charge 2 at measuring daily physical activity levels in a real life setting. PURPOSE: To compare measures of daily steps and active minutes of Fitbit Charge 2 with a research-grade accelerometer. METHODS: Sixteen active college students (Mean±SD; 23±4.9yrs; 16.43±10.19%fat; 9 male) consented to be part of the study. Participants wore an ActiGraph GT3X accelerometer and Fitbit Charge 2 concurrently for seven consecutive days. Both devices were programed with each participant’s information and the participants were instructed to perform their daily activities wearing both devices and only remove them to shower and to sleep. Data were considered valid when participants wore both devices for at least 10 hours on 4 or more days of the week. Steps and active minutes (moderate-vigorous physical activity) were recorded by each device. Mean bias was calculated by subtracting ActiGraph steps and active minutes from those obtained from the Fitbit Charge 2 for each day and an average daily mean bias was calculated using values from all seven days. Absolute percentage error was also calculated [100(|Fitbit Charge 2 - ActiGraph|)/ActiGraph] to indicate the overall 7-day difference between the Fitbit Charge 2 and ActiGraph. Pearson correlations and paired sample t-test were performed to compare Fitbit Charge 2 measurements with the corresponding ActiGraph measurements with significance considered at p\u3c0.05. RESULTS: The Fitbit Charge 2 overestimated steps by 2,451.3±2085.4 compared to the ActiGraph using the daily average steps over the seven days. This was 32.2±40.7% above the ActiGraph measurement. Average mean bias for daily active minutes was -52.1±58.9 with the Fitbit Charge 2 underestimating compared to the ActiGraph. Active minutes for the Fitbit Charge 2 were an average of 69±26.1% away from the ActiGraph. Steps for the Fitbit Charge 2 were significantly correlated to ActiGraph steps (r=0.575, p=0.02) while active minutes were not significantly correlated (r= -0.255, p=0.34). Paired sample t-test results showed a significant difference between the Fitbit Charge 2 steps and active minutes compared with the ActiGraph (p\u3c0.01 for both). CONCLUSION: The Fitbit Charge 2 may be useful for measuring steps in a free-living environment, however active minutes are significantly underestimated

NUEVO MÉTODO DE ANÁLISIS FILOGENÉTICO USANDO TAXPLOT, Y SU APLICACIÓN EN BACTERIAS CAUSANTES DE ENFERMEDAD DIARREICA AGUDA

Las proteínas son importantes en la filogenética dado que muestran la conservación, no solo de sus secuencias, sino también de sus funciones y de las propiedades de sus diferentes subestructuras debido a la conservación de las familias de aminoácidos. El análisis de grupos de datos de un gran número de proteínas puede mostrar sus propiedades que han tenido fuerza de manejo de la diversificación de especies. Aquí, presentamos un nuevo método filogenético para la construcción de cladogramas usando la base de datos TaxPlot. Hemos construido un cladograma utilizando el método UPGMA de acuerdo con los aciertos (Hits) totales obtenidos a partir de todas las combinaciones de TaxPlot previamente transformados en porcentajes de similitud. Este cladograma basado en la similitud de los proteomas bacterianos presenta una gran similitud con las relaciones que existen para los organismos analizados en base a secuencias conservadas