Los estados modificados de conciencia y su uso en la psicología contemporánea

La conciencia, sus diversos estados y las propiedades específicas de estado han sido materia de indagación en prácticamente todas las culturas. Como producto de ello, se han generado multiplicidad de perspectivas sobre el valor de estos estados de conciencia y sobre los modos adecuados de producirlos y utilizarlos. A éstos últimos se les conoce como prácticas de transformación o tecnologías de la conciencia. En el presente trabajo, luego de presentar las posturas contemporáneas básicas utilizadas para el estudio de la conciencia, se revisan las concepciones que sobre ella surgen desde la psicología transpersonal y en el budismo mahayana. Le sigue la presentación del concepto de estados y estados alterados de conciencia en la psicoterapia. Tras discutir la noción de prácticas de transformación de la conciencia se concluye con una presentación más detallada de la meditación y la oración como ejemplos de tecnologías de conciencia utilizadas como medio de sanación y de crecimiento personal.

El problema de conceptualización del terrorismo dentro de la disciplina de las Relaciones Internacionales: Un análisis desde la perspectiva histórico conceptual

Los hechos ocurridos durante el 11 de septiembre de 2001 se constituyeron como un momento fundamental en los intentos de conceptualización del terrorismo internacional dentro de la disciplina de las Relaciones Internacionales. A raíz del 9/11 tuvo lugar la resemantización del concepto de terrorismo internacional en función del terrorismo religioso y del fundamentalismo islámico. Lo anterior, marco una ruptura en el campo de experiencia y en el horizonte de expectativas del concepto mismo, pues este último adquirió un nuevo uso discursivo, y por ende, político. Por eso, ante la necesidad de emprender un análisis discursivo de los usos del concepto de terrorismo internacional, se evidencia cómo al estar inmersos en determinados juegos del lenguaje, el uso discursivo de este concepto termina por convertirse en una herramienta de acción política que promueve una forma de vida.

La deconstrucción de la dualidad amigo-enemigo en la participación de civiles en el conflicto armado colombiano

La dualidad amigo-enemigo de Schmitt, reflejada en los sistemas actuales de Derechos Humanos y Derecho Internacional Humanitario que basan las discusiones en la diferenciación tajante de víctima-victimario y civil-combatiente, se ve cuestionada por los civiles, que sin ser combatientes, participan en las dinámicas del conflicto.

Curr??culo Carolina : evaluaci??n y ejercicios para beb??s y ni??os peque??os con necesidades especiales

Faltan varios cuadernillos de evaluaci??n

La profesión docente en la sociedad de la información, nuevas dimensiones : La ética del trabajo.

Resumen tomado de la publicación

Serving GODAE Data and Products to the Ocean Community

The Global Ocean Data Assimilation Experiment (GODAE [http:// www.godae.org]) has spanned a decade of rapid technological development. The ever-increasing volume and diversity of oceanographic data produced by in situ instruments, remote-sensing platforms, and computer simulations have driven the development of a number of innovative technologies that are essential for connecting scientists with the data that they need. This paper gives an overview of the technologies that have been developed and applied in the course of GODAE, which now provide users of oceanographic data with the capability to discover, evaluate, visualize, download, and analyze data from all over the world. The key to this capability is the ability to reduce the inherent complexity of oceanographic data by providing a consistent, harmonized view of the various data products. The challenges of data serving have been addressed over the last 10 years through the cooperative skills and energies of many individuals.

The comfort, energy and health implications of London’s urban heat island

The urban heat island (UHI) is a well-known effect of urbanisation and is particularly important in world megacities. Overheating in such cities is expected to be exacerbated in the future as a result of further urban growth and climate change. Demonstrating and quantifying the impact of individual design interventions on the UHI is currently difficult using available software tools. The tools developed in the LUCID (‘The Development of a Local Urban Climate Model and its Application to the Intelligent Design of Cities’) research project will enable the related impacts to be better understood, quantified and addressed. This article summarises the relevant literature and reports on the ongoing work of the project.

Influence of probabilistic climate projections on building energy simulation

The Chartered Institute of Building Service Engineers (CIBSE) produced a technical memorandum (TM36) presenting research on future climate impacting building energy use and thermal comfort. One climate projection for each of four CO2 emissions scenario were used in TM36, so providing a deterministic outlook. As part of the UK Climate Impacts Programme (UKCIP) probabilistic climate projections are being studied in relation to building energy simulation techniques. Including uncertainty in climate projections is considered an important advance to climate impacts modelling and is included in the latest UKCIP data (UKCP09). Incorporating the stochastic nature of these new climate projections in building energy modelling requires a significant increase in data handling and careful statistical interpretation of the results to provide meaningful conclusions. This paper compares the results from building energy simulations when applying deterministic and probabilistic climate data. This is based on two case study buildings: (i) a mixed-mode office building with exposed thermal mass and (ii) a mechanically ventilated, light-weight office building. Building (i) represents an energy efficient building design that provides passive and active measures to maintain thermal comfort. Building (ii) relies entirely on mechanical means for heating and cooling, with its light-weight construction raising concern over increased cooling loads in a warmer climate. Devising an effective probabilistic approach highlighted greater uncertainty in predicting building performance, depending on the type of building modelled and the performance factors under consideration. Results indicate that the range of calculated quantities depends not only on the building type but is strongly dependent on the performance parameters that are of interest. Uncertainty is likely to be particularly marked with regard to thermal comfort in naturally ventilated buildings.

Analysis of full-waveform LiDAR data for classification of an orange orchard scene

Full-waveform laser scanning data acquired with a Riegl LMS-Q560 instrument were used to classify an orange orchard into orange trees, grass and ground using waveform parameters alone. Gaussian decomposition was performed on this data capture from the National Airborne Field Experiment in November 2006 using a custom peak-detection procedure and a trust-region-reflective algorithm for fitting Gauss functions. Calibration was carried out using waveforms returned from a road surface, and the backscattering coefficient c was derived for every waveform peak. The processed data were then analysed according to the number of returns detected within each waveform and classified into three classes based on pulse width and c. For single-peak waveforms the scatterplot of c versus pulse width was used to distinguish between ground, grass and orange trees. In the case of multiple returns, the relationship between first (or first plus middle) and last return c values was used to separate ground from other targets. Refinement of this classification, and further sub-classification into grass and orange trees was performed using the c versus pulse width scatterplots of last returns. In all cases the separation was carried out using a decision tree with empirical relationships between the waveform parameters. Ground points were successfully separated from orange tree points. The most difficult class to separate and verify was grass, but those points in general corresponded well with the grass areas identified in the aerial photography. The overall accuracy reached 91%, using photography and relative elevation as ground truth. The overall accuracy for two classes, orange tree and combined class of grass and ground, yielded 95%. Finally, the backscattering coefficient c of single-peak waveforms was also used to derive reflectance values of the three classes. The reflectance of the orange tree class (0.31) and ground class (0.60) are consistent with published values at the wavelength of the Riegl scanner (1550 nm). The grass class reflectance (0.46) falls in between the other two classes as might be expected, as this class has a mixture of the contributions of both vegetation and ground reflectance properties.

Toward vicarious calibration of microwave remote-sensing satellites in arid environments

The Soil Moisture and Ocean Salinity (SMOS) satellite marks the commencement of dedicated global surface soil moisture missions, and the first mission to make passive microwave observations at L-band. On-orbit calibration is an essential part of the instrument calibration strategy, but on-board beam-filling targets are not practical for such large apertures. Therefore, areas to serve as vicarious calibration targets need to be identified. Such sites can only be identified through field experiments including both in situ and airborne measurements. For this purpose, two field experiments were performed in central Australia. Three areas are studied as follows: 1) Lake Eyre, a typically dry salt lake; 2) Wirrangula Hill, with sparse vegetation and a dense cover of surface rock; and 3) Simpson Desert, characterized by dry sand dunes. Of those sites, only Wirrangula Hill and the Simpson Desert are found to be potentially suitable targets, as they have a spatial variation in brightness temperatures of <4 K under normal conditions. However, some limitations are observed for the Simpson Desert, where a bias of 15 K in vertical and 20 K in horizontal polarization exists between model predictions and observations, suggesting a lack of understanding of the underlying physics in this environment. Subsequent comparison with model predictions indicates a SMOS bias of 5 K in vertical and 11 K in horizontal polarization, and an unbiased root mean square difference of 10 K in both polarizations for Wirrangula Hill. Most importantly, the SMOS observations show that the brightness temperature evolution is dominated by regular seasonal patterns and that precipitation events have only little impact.