The Congregation\u27s Right to Choose Its Pastor

The image of the pastor or religious leader, his authority, function and role, is currently a lively topic for discussion, as church groups merge and emerge, as clergy are robed and disrobed, as town and gown and church and state issues erupt and disrupt the peace of the church and the parish. Therefore this translation of Carl Ferdinand Wilhelm Walther\u27s essay, Das Gemeindewahlrecht, delineating the voting rights of the congregation, appears at an appropriate time. The Lutheran Church-Missouri Synod has not beenhttps://scholar.csl.edu/ebooks/1036/thumbnail.jp

Robot salamandra anfibio con locomoción bioinspirada

anfibio con una dinámica de movimiento bioinspirada en la locomoción de la salamandra (Cryptobranchidae). El robot es teleoperado mediante una aplicación para dispositivos móviles (Smartphones, tablets, etc.). Se propone una estructura que permita al robot llevar a cabo dos acciones: caminar y nadar. Los movimientos de una salamandra real se han estimado basándose en una cámara cenital y se ha diseñado un algoritmo de control de locomoción que replique esos movimientos. El desempeño del robot se ha evaluado utilizando como métrica el error cuadrático medio entre el movimiento del robot y de la salamandra obteniendo errores menores al 5 % en los ángulos de movimiento de la espina dorsal. // This paper presents the development of an amphibious robot with a motion dynamics bioinspired on the locomotion of the salamander (Cryptobranchidae). The robot is teleoperated by an application for handled devices. We propose a structure to perform two different motions: walk and swim. We extract the movements from a real salamander by a zenith camera, and a locomotion control algorithm is designed to reply this movements. We evaluate the performance of the robot in comparison with the real animal movements using the RMSE (Root Mean Square Error) as metric of evaluation. We obtain errors less than 5 % in the angles of backbone movement

Predicción de nubes a corto plazo para una planta solar a partir de datos históricos

This work considers the problem of forecasting the normal solar irradiance with high spatial and temporal resolution (5 minutes). The forecasting is based on a dataset registered during one year from the high resolution radiometric network at a operational solar power plan at Almeria, Spain. In particular, we show a technique for forecasting the irradiance in the next few minutes from the irradiance values obtained on the previous hour. Our proposal employs a type of recurrent neural network known as LSTM, which can learn complex patterns and that has proven its usability for forecasting temporal series. The results show a reasonable improvement with respect to other prediction methods typically employed in the studies of temporal series.Es este trabajo se aborda el problema de la predicción de radiación global sobre superficie horizontal con alta resolución espacial y temporal (5 minutos) a partir de los datos registrados durante un año en la red radiométrica de alta resolución ubicada en la Plataforma Solar de Almería. En particular se muestra un método capaz de predecir el valor de radiación en los siguientes minutos a partir de los valores de los minutos anteriores. El método emplea el tipo de red neuronal recurrente conocido como LSTM, capaz de aprender patrones complejos y predecir el próximo elemento de una serie temporal. Los resultados muestran una mejora apreciable en con respecto a los métodos de predicción empleados habitualmente en el estudio de series temporales.Facultad de Informátic

Predicción de nubes a corto plazo para una planta solar a partir de datos históricos

This work considers the problem of forecasting the normal solar irradiance with high spatial and temporal resolution (5 minutes). The forecasting is based on a dataset registered during one year from the high resolution radiometric network at a operational solar power plan at Almeria, Spain. In particular, we show a technique for forecasting the irradiance in the next few minutes from the irradiance values obtained on the previous hour. Our proposal employs a type of recurrent neural network known as LSTM, which can learn complex patterns and that has proven its usability for forecasting temporal series. The results show a reasonable improvement with respect to other prediction methods typically employed in the studies of temporal series.Es este trabajo se aborda el problema de la predicción de radiación global sobre superficie horizontal con alta resolución espacial y temporal (5 minutos) a partir de los datos registrados durante un año en la red radiométrica de alta resolución ubicada en la Plataforma Solar de Almería. En particular se muestra un método capaz de predecir el valor de radiación en los siguientes minutos a partir de los valores de los minutos anteriores. El método emplea el tipo de red neuronal recurrente conocido como LSTM, capaz de aprender patrones complejos y predecir el próximo elemento de una serie temporal. Los resultados muestran una mejora apreciable en con respecto a los métodos de predicción empleados habitualmente en el estudio de series temporales.Facultad de Informátic

Predicción de nubes a corto plazo para una planta solar a partir de datos históricos

This work considers the problem of forecasting the normal solar irradiance with high spatial and temporal resolution (5 minutes). The forecasting is based on a dataset registered during one year from the high resolution radiometric network at a operational solar power plan at Almeria, Spain. In particular, we show a technique for forecasting the irradiance in the next few minutes from the irradiance values obtained on the previous hour. Our proposal employs a type of recurrent neural network known as LSTM, which can learn complex patterns and that has proven its usability for forecasting temporal series. The results show a reasonable improvement with respect to other prediction methods typically employed in the studies of temporal series.Es este trabajo se aborda el problema de la predicción de radiación global sobre superficie horizontal con alta resolución espacial y temporal (5 minutos) a partir de los datos registrados durante un año en la red radiométrica de alta resolución ubicada en la Plataforma Solar de Almería. En particular se muestra un método capaz de predecir el valor de radiación en los siguientes minutos a partir de los valores de los minutos anteriores. El método emplea el tipo de red neuronal recurrente conocido como LSTM, capaz de aprender patrones complejos y predecir el próximo elemento de una serie temporal. Los resultados muestran una mejora apreciable en con respecto a los métodos de predicción empleados habitualmente en el estudio de series temporales.Facultad de Informátic

Measuring consumer uncertainty about future inflation

Survey measures of consumer inflation expectations have an important shortcoming in that, while providing useful summary measures of the distribution of point forecasts across individuals, they contain no direct information about an individual's uncertainty about future inflation. The latter is important not only for forecasting inflation and other macroeconomic outcomes, but also for assessing a central bank's credibility and effectiveness of communication. This paper explores the feasibility of eliciting individual consumers' subjective probability distributions of future inflation outcomes. In November 2007, we began administering web-based surveys to participants in RAND's American Life Panel. In addition to their point predictions, respondents were asked for their subjective assessments of the percentage chance that inflation will fall in each of several predetermined intervals. We find that our measures of individual forecast densities and uncertainty are internally consistent and reliable. Those who are more uncertain about year-ahead price inflation are also generally more uncertain about longer term price inflation and future wage changes. We find also that participants expressing higher uncertainty in their density forecasts make larger revisions to their point forecasts over time. Measures of central tendency derived from individual density forecasts are highly correlated with point forecasts, but they usually differ, often substantially, at the individual level. Finally, we relate our direct measure of aggregate consumer uncertainty to a more conventional approach that uses disagreement among individual forecasters, as seen in the dispersion of their point forecasts, as a proxy for forecast uncertainty. Although the two measures are positively correlated, our results suggest that disagreement and uncertainty are distinct concepts, both relevant to the analysis of inflation expectations

Condensed tannins in the gastrointestinal tract of cattle after sainfoin (Onobrychis viciifolia) intake and their possible relationship with anthelmintic effects

The fate of condensed tannins (CTs) along the digestive tract of ruminants is not well known and may account for the variable efficacy of CTs against gastrointestinal nematodes in different locations. Here, we analyzed sainfoin CTs in the digesta of cattle from two separate experiments. When using the acetone-butanol-HCl assay, the total CTs concentrations in the digestive tract were close to those in the diets (6.3 and 1.5% of DM in Expt. 1 and 2, resp.) indicating that CTs remained largely undegraded and unabsorbed. Yet with the thiolysis assay in Expt. 1, CTs concentration was much higher in the abomasum (2.3 ± 0.4 % of DM) compared with the rumen, small and large intestines, along with increases of mean size and percentage of prodelphinidins within CTs. This corroborates the anthelmintic efficacy reported only against Ostertagia ostertagi in the abomasum. In Expt. 2, no anthelmintic effect was observed against the larval exsheathment in the rumen, probably because the dietary level of CTs was too low. Overall, the level of CTs accessible to thiolysis in the gut appears to be critical for anthelmintic activity, which is favored under the acidic conditions of the abomasum

Evidence for a three-nucleon-force effect in proton-deuteron elastic scattering

Developments in spin-polarized internal targets for storage rings have permitted measurements of 197 MeV polarized protons scattering from vector polarized deuterons. This work presents measurements of the polarization observables A_y, iT_11, and C_y,y in proton-deuteron elastic scattering. When compared to calculations with and without three-nucleon forces, the measurements indicate that three-nucleon forces make a significant contribution to the observables. This work indicates that three-body forces derived from static nuclear properties appear to be crucial to the description of dynamical properties.Comment: 8 pages 2 figures Latex, submitted to Phys. Rev. Letter

Data compression for the First G-APD Cherenkov Telescope

The First Geiger-mode Avalanche photodiode (G-APD) Cherenkov Telescope (FACT) has been operating on the Canary island of La Palma since October 2011. Operations were automated so that the system can be operated remotely. Manual interaction is required only when the observation schedule is modified due to weather conditions or in case of unexpected events such as a mechanical failure. Automatic operations enabled high data taking efficiency, which resulted in up to two terabytes of FITS files being recorded nightly and transferred from La Palma to the FACT archive at ISDC in Switzerland. Since long term storage of hundreds of terabytes of observations data is costly, data compression is mandatory. This paper discusses the design choices that were made to increase the compression ratio and speed of writing of the data with respect to existing compression algorithms. Following a more detailed motivation, the FACT compression algorithm along with the associated I/O layer is discussed. Eventually, the performances of the algorithm is compared to other approaches.Comment: 17 pages, accepted to Astronomy and Computing special issue on astronomical file format