Oh! Mother I\u27m Wild!

https://digitalcommons.library.umaine.edu/mmb-vp/2287/thumbnail.jp

Responsive and Responsible: Levels of Faculty Encouragement of Civic Engagement

This study explores how often faculty members encourage students to engage with campus, local, state, national, and global issues. Using data from the 2013 administration of the Faculty Survey of Student Engagement (FSSE), the results show that faculty members are more likely to encourage students to engage in state, national, or global issues than campus or local issues. Differences in faculty encouragement of civic engagement are also presented across gender, racial/ethnic identification, rank and employment status, and institutional affiliation, among other characteristics. Implications for practice are provided

Oh! Mother I\u27m Wild

Illustration of a man and a women sipping on straws from the same glass.https://scholarsjunction.msstate.edu/cht-sheet-music/3100/thumbnail.jp

A mixed methods approach to prioritizing components of Uganda’s eHealth environment

Introduction: Globally the use of information and communication technologies (ICTs) in healthcare,  eHealth, is on the increase. This increased use is accompanied with several challenges requiring uniformly understood and accepted regulations. Developing such regulations requires the engagement of all stakeholders. In this manuscript we explored the priorities of various eHealth stakeholders in Uganda to inform the eHealth policy review process.Methods: We used a Delphi approach during the initial programmed plenary of a consultative workshop in which participants were asked to identify and post their topmost priority related to eHealth under one of the seven components of the eHealth environment as described in the WHO national eHealth toolkit. We used an additional qualitative analytical method to further group the participant sorted priorities into sub clusters to support additional interpretation using the toolkit.Results: The components of the eHealth environment ranked as follows with respect to descending number of postings: information services and applications (36 postings), information and technology standard (31 postings), leadership and governance (22 postings), strategic planning (21 postings), infrastructure(14 postings), financial management (2 postings) and others (6 postings).Conclusion: Uganda's eHealth environment is in the developing and building up stage (II). In this environment the policy and implementation strategy should strengthen linkages in core systems, create a foundation for investment, ensure  legal certainty and create a strong eHealth enabling environment.Key words: Information and communications technologies, policy, eHealt

Redes neuronales artificiales para determinar cartas dinamométricas para el campo Gustavo Galindo Velasco

Este estudio consiste en una alternativa para la identificación y predicción, tanto cualitativamente y cuantitativamente, los problemas presentados en los equipos de subsuelo del sistema de bombeo mecánico, mostrados en cartas dinamométricas de fondo, para que, de esta manera, poder establecer una metodología en el análisis de la información de 8 cartas dinamométricas de los 4 pozos de la parroquia Ancón, proporcionada por la empresa PACIFPETROL. Luego de realizar una recopilación y distribución manual de las cartas dinamométricas, mediante una base de datos, se determinó si el problema es el apropiado para ser resuelto por medio de redes neuronales artificiales. Posteriormente se explica el proceso para obtener las características más significativas de cada carta dinamométrica por medio del TWM (TOTAL WELL MANAGEMENT) ECHOMETER. Se planeó y probó distintos algoritmos para obtener los distintos coeficientes de aproximación y detalles de las señales, para poder ser aplicados al entrenamiento de las redes neuronales de mapas auto organizados (SELF ORGANAZING MAPS (SOM)), siendo así capaz de realizar de una forma rápida la interpretación. Los resultados de estas fases se adaptan al software final, que proporcionará: la identificación y predicción de forma rápida precisando los problemas de los equipos de bombeo mecánico para así poder minimizar los costos operacionales y de esa manera poder maximizar la producción de la industria

Impacto de la inversión extranjera directa en el crecimiento económico de largo plazo de la economía peruana en el período 1980 - 2021

La presente tesis titulada “Impacto de la Inversión Extranjera Directa en el crecimiento económico de largo plazo de la economía peruana en el período 1980 - 2021 tuvo como objetivo determinar el impacto de la Inversión Extranjera Directa en el crecimiento económico de largo plazo de la economía peruana. La investigación es correlacional explicativa y no experimental, ya que se pretende que sirva como apoyo para las políticas. Las variables que se usaron son el PBI y la IED. Usando datos históricos provenientes del Banco Central de Reserva del Perú (BCRP) y series estadísticas del Banco Mundial (BM). Basada en la teoría que plantean que la inversión extranjera directa mejora el crecimiento económico. Se estimó un modelo de Mínimos Cuadrados Ordinarios con ponderaciones, luego de esto se puede observar que las variables independientes explican en un 98.78% a la variable dependiente. Los resultados del modelo econométrico nos indica que la inversión extranjera directa tuvo un impacto positivo en el crecimiento económico de Perú en el periodo 1980-2021, por cada aumento de $1 de la IED, el crecimiento económico en el Perú aumenta en S/.4.82. Con este resultado corroboramos que a mayor IED mayor crecimiento económico, pero se debe gestar adecuadamente.The present thesis entitled ""Impact of Foreign Direct Investment on the long term economic growth of the Peruvian economy in the period 1980 - 2021 had the objective of determining the impact of Foreign Direct Investment on the long-term economic growth of the Peruvian economy. The research is explanatory correlational and non-experimental, since it is intended to serve as support for policies. The variables used are GDP and FDI. Using historical data from the Central Reserve Bank of Peru (BCRP) and statistical series from the World Bank (WB). Based on the theory that foreign direct investment improves economic growth. An Ordinary Least Squares model with weights was estimated, after which it can be observed that the independent variables explain 98.78dependent variable. The results of the econometric model indicate that foreign direct investment had a positive impact on Peru's economic growth in the period 1980-2021, for every$1 increase in FDI, economic growth in Peru increases by S/. 4.82. With this result we corroborate that the higher the FDI, the higher the economic growth, but it must be properly managed.Tesi

Hypertension in Holmes County, Mississippi / CAC No. 138

Includes bibliographic references (p. 10-11)

Analyses of cerebral microdialysis in patients with traumatic brain injury: relations to intracranial pressure, cerebral perfusion pressure and catheter placement

<p>Abstract</p> <p>Background</p> <p>Cerebral microdialysis (MD) is used to monitor local brain chemistry of patients with traumatic brain injury (TBI). Despite an extensive literature on cerebral MD in the clinical setting, it remains unclear how individual levels of real-time MD data are to be interpreted. Intracranial pressure (ICP) and cerebral perfusion pressure (CPP) are important continuous brain monitors in neurointensive care. They are used as surrogate monitors of cerebral blood flow and have an established relation to outcome. The purpose of this study was to investigate the relations between MD parameters and ICP and/or CPP in patients with TBI.</p> <p>Methods</p> <p>Cerebral MD, ICP and CPP were monitored in 90 patients with TBI. Data were extensively analyzed, using over 7,350 samples of complete (hourly) MD data sets (glucose, lactate, pyruvate and glycerol) to seek representations of ICP, CPP and MD that were best correlated. MD catheter positions were located on computed tomography scans as pericontusional or nonpericontusional. MD markers were analyzed for correlations to ICP and CPP using time series regression analysis, mixed effects models and nonlinear (artificial neural networks) computer-based pattern recognition methods.</p> <p>Results</p> <p>Despite much data indicating highly perturbed metabolism, MD shows weak correlations to ICP and CPP. In contrast, the autocorrelation of MD is high for all markers, even at up to 30 future hours. Consequently, subject identity alone explains 52% to 75% of MD marker variance. This indicates that the dominant metabolic processes monitored with MD are long-term, spanning days or longer. In comparison, short-term (differenced or Δ) changes of MD vs. CPP are significantly correlated in pericontusional locations, but with less than 1% explained variance. Moreover, CPP and ICP were significantly related to outcome based on Glasgow Outcome Scale scores, while no significant relations were found between outcome and MD.</p> <p>Conclusions</p> <p>The multitude of highly perturbed local chemistry seen with MD in patients with TBI predominately represents long-term metabolic patterns and is weakly correlated to ICP and CPP. This suggests that disturbances other than pressure and/or flow have a dominant influence on MD levels in patients with TBI.</p

Economic Analysis of Knowledge: The History of Thought and the Central Themes

Following the development of knowledge economies, there has been a rapid expansion of economic analysis of knowledge, both in the context of technological knowledge in particular and the decision theory in general. This paper surveys this literature by identifying the main themes and contributions and outlines the future prospects of the discipline. The wide scope of knowledge related questions in terms of applicability and alternative approaches has led to the fragmentation of research. Nevertheless, one can identify a continuing tradition which analyses various aspects of the generation, dissemination and use of knowledge in the economy

The 13th Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the SDSS-IV Survey Mapping Nearby Galaxies at Apache Point Observatory

The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) began observations in July 2014. It pursues three core programs: APOGEE-2,MaNGA, and eBOSS. In addition, eBOSS contains two major subprograms: TDSS and SPIDERS. This paper describes the first data release from SDSS-IV, Data Release 13 (DR13), which contains new data, reanalysis of existing data sets and, like all SDSS data releases, is inclusive of previously released data. DR13 makes publicly available 1390 spatially resolved integral field unit observations of nearby galaxies from MaNGA,the first data released from this survey. It includes new observations from eBOSS, completing SEQUELS. In addition to targeting galaxies and quasars, SEQUELS also targeted variability-selected objects from TDSS and X-ray selected objects from SPIDERS. DR13 includes new reductions ofthe SDSS-III BOSS data, improving the spectrophotometric calibration and redshift classification. DR13 releases new reductions of the APOGEE-1data from SDSS-III, with abundances of elements not previously included and improved stellar parameters for dwarf stars and cooler stars. For the SDSS imaging data, DR13 provides new, more robust and precise photometric calibrations. Several value-added catalogs are being released in tandem with DR13, in particular target catalogs relevant for eBOSS, TDSS, and SPIDERS, and an updated red-clump catalog for APOGEE.This paper describes the location and format of the data now publicly available, as well as providing references to the important technical papers that describe the targeting, observing, and data reduction. The SDSS website, http://www.sdss.org, provides links to the data, tutorials and examples of data access, and extensive documentation of the reduction and analysis procedures. DR13 is the first of a scheduled set that will contain new data and analyses from the planned ~6-year operations of SDSS-IV.PostprintPeer reviewe