BASE DE DATOS Y METODO DE REGRESIÓN MULTIPLE PARA ESTIMAR LOS PRECIOS DE LA TIERRA EN COSTA RICA

En este artículo se presenta el método  y la base de datos que se requiere para realizar la valoración de la tierra.  El método utilizado es el método de Alonso 1964, el cual se basa en el método de distancia y consiste en la aplicación de la ecuación de regresión múltiple.  El método es el que aplica en la actualizad la Oficina de Avalúos de la Dirección General de Tributación Directa en Costa Rica.

UN METODO EMPIRICO PARA LA PREDICCION DE LA RADIACION SOLAR GLOBAL DIARIA MEDIA MENSUAL,SOBRE UNA SUPERFICIEHORIZONTAL, EN COSTA RICA

Lo que se pretende con este trabajo es probar el método de Swartman y Ogunlade (1966), en las aéreas geográficas de Limón, Buenos Aires, Fabio Baudrit (Alajuela), Nicoya y Puntarenas, donde existen datos de brillo solar, humedad relativa y radiación solar global diaria media mensual. Se prueba la validez de este método para estas estaciones en estudio, con un valor aceptable de ± 10% de error en la mayoría de los casos. En ausencia de aparatos que miden directamente la radiación solar global, se recomienda utilizar este método, pues únicamente requiere datos de humedad relativa y brillo solar, que se miden directamente en casi todas las estaciones meteorológicas del país.   SUMMARY This article attempts to verify the method used by Swartman and Ogunlade (1966) in the areas of Limón, Buenos Aires, Fabio Baudrit (Alajuela), Nicoya and Puntarenas, where data exist concerning solar brilliance, relative humidity and daily global solar radiation based on monthly averages. The validity of this method is proved in reference to the above mentioned study sites, with an acceptable error factor of ± 10% in the majority of the cases. The usage of this method is recommended in the absence of apparatus that measure directly the global solar radiation, because you only need data concerning relative humidity and solar brilliance; data that is directly collected in all of the meteorogical stations located in Costa Rica.   RESUME Le but de ce travail est la probation de la méthode de Swartman et Ogunlade (1966), en l’appliquant dans des aires géographiques tant diverses comme Limón, Buenos Aires, Fabio Baudrit (Alajuela), Nicoya et Puntarenas ; c'est-à-dire là où existe des mesures de la durée de l’ensoleillement, de l’humidité relative et de la moyenne mensuelle de la radiation solaire globale quotidienne. Le test de cette méthode, para ces stations donne une erreur relative de 10% dans la plupart de cas. Quand on manque d’appareils pour la mesure de la radiation solaire globale, on recommande l’usage de cette méthode, puisqu’elle se base Our les registres d’humidité relative et d’heures d’ensoleillement mesurées que toutes les stations météoritiques du pays.  

Nurses’ willingness to report medication administration errors in Saudi Arabia

Reporting of medication administration errors (MAEs) is one means by which health care facilities monitor their practice in an attempt to maintain the safest patient environment. This study examined the likelihood of registered nurses (RNs) reporting MAEs when working in Saudi Arabia. It also attempted to identify potential barriers in the reporting of MAE. This study found that 63% of RNs raised concerns about reporting of MAEs in Saudi Arabia—nursing administration was the largest impediment affecting nurses' willingness to report MAEs. Changing attitude to a non-blame system and implementation of anonymous reporting systems may encourage a greater reporting of MAEs.

Traffic queue estimation for metered motorway on-ramps through use of loop detector time occupancies

The primary objective of this study is to develop a robust queue estimation algorithm for motorway on-ramps. Real-time queue information is a vital input for dynamic queue management on metered on-ramps. Accurate and reliable queue information enables the management of on-ramp queue in an adaptive manner to the actual traffic queue size and thus minimises the adverse impacts of queue flush while increasing the benefit of ramp metering. The proposed algorithm is developed based on the Kalman filter framework. The fundamental conservation model is used to estimate the system state (queue size) with the flow-in and flow-out measurements. This projection results are updated with the measurement equation using the time occupancies from mid-link and link-entrance loop detectors. This study also proposes a novel single point correction method. This method resets the estimated system state to eliminate the counting errors that accumulate over time. In the performance evaluation, the proposed algorithm demonstrated accurate and reliable performances and consistently outperformed the benchmarked Single Occupancy Kalman filter (SOKF) method. The improvements over SOKF are 62% and 63% in average in terms of the estimation accuracy (MAE) and reliability (RMSE), respectively. The benefit of the innovative concepts of the algorithm is well justified by the improved estimation performance in congested ramp traffic conditions where long queues may significantly compromise the benchmark algorithm’s performance.

A Kalman filter based queue estimation algorithm using time occupancies for motorway on-ramps

The primary objective of this study is to develop a robust queue estimation algorithm for motorway on-ramps. Real-time queue information is the most vital input for a dynamic queue management that can treat long queues on metered on-ramps more sophistically. The proposed algorithm is developed based on the Kalman filter framework. The fundamental conservation model is used to estimate the system state (queue size) with the flow-in and flow-out measurements. This projection results are updated with the measurement equation using the time occupancies from mid-link and link-entrance loop detectors. This study also proposes a novel single point correction method. This method resets the estimated system state to eliminate the counting errors that accumulate over time. In the performance evaluation, the proposed algorithm demonstrated accurate and reliable performances and consistently outperformed the benchmarked Single Occupancy Kalman filter (SOKF) method. The improvements over SOKF are 62% and 63% in average in terms of the estimation accuracy (MAE) and reliability (RMSE), respectively. The benefit of the innovative concepts of the algorithm is well justified by the improved estimation performance in the congested ramp traffic conditions where long queues may significantly compromise the benchmark algorithm’s performance.

Prediction of Ultimate Capacity of Laterally Loaded Piles in Clay: A Relevance Vector Machine Approach

This study investigates the potential of Relevance Vector Machine (RVM)-based approach to predict the ultimate capacity of laterally loaded pile in clay. RVM is a sparse approximate Bayesian kernel method. It can be seen as a probabilistic version of support vector machine. It provides much sparser regressors without compromising performance, and kernel bases give a small but worthwhile improvement in performance. RVM model outperforms the two other models based on root-mean-square-error (RMSE) and mean-absolute-error (MAE) performance criteria. It also stimates the prediction variance. The results presented in this paper clearly highlight that the RVM is a robust tool for prediction Of ultimate capacity of laterally loaded piles in clay.

A flexible hierarchical approach for facial age estimation based on multiple features

Age estimation from facial images is increasingly receiving attention to solve age-based access control, age-adaptive targeted marketing, amongst other applications. Since even humans can be induced in error due to the complex biological processes involved, finding a robust method remains a research challenge today. In this paper, we propose a new framework for the integration of Active Appearance Models (AAM), Local Binary Patterns (LBP), Gabor wavelets (GW) and Local Phase Quantization (LPQ) in order to obtain a highly discriminative feature representation which is able to model shape, appearance, wrinkles and skin spots. In addition, this paper proposes a novel flexible hierarchical age estimation approach consisting of a multi-class Support Vector Machine (SVM) to classify a subject into an age group followed by a Support Vector Regression (SVR) to estimate a specific age. The errors that may happen in the classification step, caused by the hard boundaries between age classes, are compensated in the specific age estimation by a flexible overlapping of the age ranges. The performance of the proposed approach was evaluated on FG-NET Aging and MORPH Album 2 datasets and a mean absolute error (MAE) of 4.50 and 5.86 years was achieved respectively. The robustness of the proposed approach was also evaluated on a merge of both datasets and a MAE of 5.20 years was achieved. Furthermore, we have also compared the age estimation made by humans with the proposed approach and it has shown that the machine outperforms humans. The proposed approach is competitive with current state-of-the-art and it provides an additional robustness to blur, lighting and expression variance brought about by the local phase features.

Exploring the Potential Impacts of Climate Variability on Spring Wheat Yield with the APSIM Decision Support Tool

Assessing the impacts of climate variability on agricultural productivity at regional, national or global scale is essential for defining adaptation and mitigation strategies. We explore in this study the potential changes in spring wheat yields at Swift Current and Melfort, Canada, for different sowing windows under projected climate scenarios (i.e., the representative concentration pathways, RCP4.5 and RCP8.5). First, the APSIM model was calibrated and evaluated at the study sites using data from long term experimental field plots. Then, the impacts of change in sowing dates on final yield were assessed over the 2030-2099 period with a 1990-2009 baseline period of observed yield data, assuming that other crop management practices remained unchanged. Results showed that the performance of APSIM was quite satisfactory with an index of agreement of 0.80, R2 of 0.54, and mean absolute error (MAE) and root mean square error (RMSE) of 529 kg/ha and 1023 kg/ha, respectively (MAE = 476 kg/ha and RMSE = 684 kg/ha in calibration phase). Under the projected climate conditions, a general trend in yield loss was observed regardless of the sowing window, with a range from -24 to -94 depending on the site and the RCP, and noticeable losses during the 2060s and beyond (increasing CO2 effects being excluded). Smallest yield losses obtained through earlier possible sowing date (i.e., mid-April) under the projected future climate suggested that this option might be explored for mitigating possible adverse impacts of climate variability. Our findings could therefore serve as a basis for using APSIM as a decision support tool for adaptation/mitigation options under potential climate variability within Western Canada.

Worldwide outdoor round robin study of organic photovoltaic devices and modules

Accurate characterization and reporting of organic photovoltaic (OPV) device performance remains one of the important challenges in the field. The large spread among the efficiencies of devices with the same structure reported by different groups is significantly caused by different procedures and equipment used during testing. The presented article addresses this issue by offering a new method of device testing using “suitcase sample” approach combined with outdoor testing that limits the diversity of the equipment, and a strict measurement protocol. A round robin outdoor characterization of roll-to-roll coated OPV cells and modules conducted among 46 laboratories worldwide is presented, where the samples and the testing equipment were integrated in a compact suitcase that served both as a sample transportation tool and as a holder and test equipment during testing. In addition, an internet based coordination was used via plasticphotovoltaics.org that allowed fast and efficient communication among participants and provided a controlled reporting format for the results that eased the analysis of the data. The reported deviations among the laboratories were limited to 5% when compared to the Si reference device integrated in the suitcase and were up to 8% when calculated using the local irradiance data. Therefore, this method offers a fast, cheap and efficient tool for sample sharing and testing that allows conducting outdoor measurements of OPV devices in a reproducible manner.

Magneto acoustical emission in nanocrystalline Mn-Zn ferrites

Mn0.4Zn0.6Fe2O4 powders were prepared by microwave hydrothermal method. The powders were characterized by X-ray diffraction, transmission electron microscope. The powders were sintered at different temperatures 400, 500, 600, 700, 800 and 900 degrees C/30 min using microwave sintering method. The grain size was estimated by scanning electron microscope. The room temperature dielectric and magnetic properties were studied in the frequency range (100 kHz-1.8 GHz). The magnetization properties were measured upto 1.5 T. The acoustic emission has been measured along the hysteresis loops from 80 K to Curie temperature. It is found that the magneto-acoustic emission (MAE) activity along hysteresis loop is proportional to the hysteresis losses during the same loop. This law has been verified on series of polycrystalline ferrites and found that the law is valid whatever the composition, the grain size and temperature. It is also found that the domain wall creation/or annihilation processes are the origin of the MAE. (C) 2013 Published by Elsevier Ltd.

Energy Harvesting WSNs for Accurately Estimating the Maximum Sensor Reading: Trade-Offs and Optimal Design

Computing the maximum of sensor readings arises in several environmental, health, and industrial monitoring applications of wireless sensor networks (WSNs). We characterize the several novel design trade-offs that arise when green energy harvesting (EH) WSNs, which promise perpetual lifetimes, are deployed for this purpose. The nodes harvest renewable energy from the environment for communicating their readings to a fusion node, which then periodically estimates the maximum. For a randomized transmission schedule in which a pre-specified number of randomly selected nodes transmit in a sensor data collection round, we analyze the mean absolute error (MAE), which is defined as the mean of the absolute difference between the maximum and that estimated by the fusion node in each round. We optimize the transmit power and the number of scheduled nodes to minimize the MAE, both when the nodes have channel state information (CSI) and when they do not. Our results highlight how the optimal system operation depends on the EH rate, availability and cost of acquiring CSI, quantization, and size of the scheduled subset. Our analysis applies to a general class of sensor reading and EH random processes.

Efecto de diferentes distancias de siembra sobre la producción de biomasa del frijol terciopelo, (Stizolobium deeringianum) en el departamento de Masaya

El presente trabajo tuvo como objetivo, evaluar en términos biológicos y económicos el efecto de diferentes distancias de siembra sobre la producción de biomasa en base verde y seca del frijol terciopelo (Stizolobium deeringianum) El estudio se llevó a cabo en el Departamento de Masaya, en la finca "La Antena" ubicada al oeste de la ciudad de Masaya, para el estudio se utilizó un diseño de bloques completos al azar (BCA). Los resultados evidencian que las diferentes distancias de siembra, tuvieron efecto estadísticamente significativo sobre la producción de biomasa de frijol terciopelo en base verde y seca. Los mayores valores en cuanto a producción de biomasa corresponden a aquellos tratamientos cuya distancias entre planta son iguales a 0.25 m y 0.50 m, obteniendose 15.3 ton/ha y 12.3 ton/ha en base verde respectivamente y 2.43 ton/ha y 2.025 ton/ha en base seca respectivamente. En lo que respecta a la capacidad de rebrote se demostró que a una altura de corte inferior a 10 cm el frijol terciopelo no es eficiente, ya que en ninguno de los diferentes tratamientos una vez realizado el primer corte se encontraron plantas en estado de rebrote. De todos los tratamientos evaluados, el que resulta más económico en cuanto a costos de producción es el tratamiento cuya distancia entre planta es igual a 1.0 m, ya que en este se utiliza menos semilla en la siembra; pero aplicando el metodo de presupuestos parciales en base a la producción de biomasa obtenida y los posibles beneficios que se pueden obtener resultó que los tratamientos más rentables económicamente son aquellos en los cuales las distancias entre planta oscilan entre 0.25 m y 0.50 m. ya que con estos se obtiene un mayor beneficio económico.

Actitud natural y actitud fenomenológica

Resumen: La fenomenología de Husserl toma como punto de partida el problema del conocimiento con el fin de reformular la idea de una filosofía como ciencia estricta que aspira en última instancia a establecer una vida éticamente buena sobre bases racionales. Tiene que enfrentarse para ello con las cuestiones del comienzo de la filosofía y de su método. Ambas exigen tener en cuenta la distinción entre la actitud natural y la actitud propiamente filosófica porque la epojé que abre el camino a la reducción fenomenológica requiere advertir, tematizar y suspender la validez de la actitud natural. En la primera sección del artículo se deslindan los rasgos esenciales de las actitudes y se distinguen tipos generales de actitudes. A continuación se muestra, en la segunda sección, a la actitud natural como el fondo o suelo de todas las actitudes especiales y se delinean sus caracteres más sobresalientes. En la tercera sección, por último, se contrasta esta actitud natural básica con la actitud fenomenológica en conexión con el modo como Descartes comprende las cuestiones del comienzo y del método. Con ello se retorna al planteo de la filosofía como conocimiento en vistas a una renovación ética de la vida espiritual a fin de precisar por qué el paso de la actitud natural a la actitud fenomenológica es la condición necesaria para poder abandonar la instalación ingenua sobre el suelo incuestionado del mundo.

La cuestión de los fundamentos en la ética de Lonergan

Resumen: En este artículo se explica cómo a partir del método trascendental de Lonergan surge una comprensión de la ética cómo ética existencial, la cual nos invita a dejar a un lado las categorías metafísicas-abstractas y reflexionar éticamente usando categorías que surjan de los actos de nuestra conciencia. La conciencia moral se presenta distintiva en cuanto a la decisión, inclusiva en cuanto que integra los niveles del entender y del juzgar y elevada en cuanto que está abierta a la posibilidad de una integración superior, puesto que la noción trascendental de valor puede ser enriquecida intrínsecamente con la experiencia religiosa de estar enamorado de un modo irrestricto.La explicitación de los fundamentos a partir del método trascendental permite tener en cuenta la realidad del hombre como ser histórico en devenir e integra la experiencia moral y religiosa a la comprensión del actuar ético. De este modo la reflexión ética surge a partir de la historia vividaen la cual se manifiesta el hacerse a sí mismo de los sujetos y la auto-constitución de lavida moral de una comunidad o de un pueblo.

Una elipse con dos focos : hacia un nuevo método teológico a partir de Gaudium et Spes

Resumen: La forma sistemática del pensar creyente fue objeto de importantes debates durante la realización del Vaticano II, particularmente por la novedad que presentaba la introducción de un método inductivo en la enseñanza de la Iglesia. Se advirtió que allí se incluía una reflexión de largo alcance sobre la autocomprensión de la Iglesia y, de este modo, un debate neurálgico para el objetivo del Concilio. Dicho método, cuestionado posteriormente, ha tenido particular relevancia en el posconcilio latinoamericano. Está en juego la posibilidad de que la Iglesia, la fe y la teología sean menos impermeables a las inquietudes que emergen de las complejas experiencias biográficas y al clamor que brota desde el mundo del sufrimiento y de los pobres.