A telehealth system for Parkinson's disease remote monitoring. The PERFORM approach

This paper summarizes the experience and the lessons learned from the European project PERFORM (A sophisticated multi-parametric system FOR the continuous effective assessment and monitoring of motor status in Parkinson s disease and other neurodegenerative diseases). PERFORM is aimed to provide a telehealth system for the remote monitoring of Parkinson s disease patients (PD) at their homes. This paper explains the global experience with PERFORM. It summarizes the technical performance of the system and the feedback received from the patients in terms of usability and wearability.

Tratamiento de imágenes de mineral acarreado post-voladura. Análisis de curvas granulométricas y comparativa mediante sistemasplit on-line y Split desktop: automático y manual

En este proyecto se han analizado distintas imágenes de fragmentos de rocas de distintas granulometrías correspondientes a una serie de voladuras de una misma cantera. Cada una de las voladuras se componen de 20 imágenes. A posteriori utilizando el programa Split Desktop en su versión 3.1, se delimitaron los fragmentos de roca de los que está compuesta la imagen, obteniéndose posteriormente la curva granulométrica correspondiente a dicha imagen. Una vez se calculan las curvas granulométricas correspondientes a cada imagen, se calcula la curva media de todas ellas, pudiéndose considerar por tanto la curva media de cada voladura. Se han utilizado las distintas soluciones del software, manual, online y automático, para realizar los análisis de dichas imágenes y a posteriori comparar sus resultados. Dichos resultados se muestran a través de una serie de gráficos y tablas que se explican con detalle para la comprensión del estudio. De dichos resultados es posible afirmar que, el tratamiento de imágenes realizado de manera online y automático por Split, desemboca en el mismo resultado, al no haber una diferencia estadística significativa. Por el contrario, el sistema manual es diferente de los otros dos, no pudiéndose afirmar cual es mejor de los dos. El manual depende del operario que trabaje las imágenes y el online de los ajustes realizados y por tanto, ambos tienen ciertas incertidumbres difíciles de solucionar. Abstract In this project, different images of rock fragments of different grain sizes corresponding to a series of blasts from the same quarry have been analyzed. To study each blast, 20 images has been used and studied with the software Split Desktop 3.1. Rock fragments from each image has been delimitated with the software, obtaining a grading curve of each one. Once these curves are calculated, the mean curve of these data set is obtained and can be considered the mean curve of each blast. Different software solutions as manual, online and automatic, has been used for the analysis of these images. Then the results has been compared between them. These results are shown through a series of graphs and tables, that are explained in detail, to enhance the understanding of the study. From these results, it can be said that the image processing with online and automatic options from Split, leads to the same result, after an statistical study. On the contrary, the manual Split mode is different from the others; however is not possible to assert what will be the best. The manual Split mode depends on the operator ability and dedication, although the online mode depends on the software settings, so therefore, both have some uncertainties that are difficult to solve.

Anomaly Detection Using Remote Sensing for the Archaeological Heritage Registration

The aim of this work is an approach using multisensor remote sensing techniques to recognize the potential remains and recreate the original landscape of three archaeological sites. We investigate the spectral characteristics of the reflectance parameter and emissivity in the pattern recognition of archaeological materials in several hyperspectral scenes of the prehispanic site in Palmar Sur (Costa Rica), the Jarama Valley site and the celtiberian city of Segeda in Spain. Spectral ranges of the visible-near infrared (VNIR), shortwave infrared (SWIR) and thermal infrared (TIR) from hyperspectral data cubes of HyMAP, AHS, MASTER and ATM have been used. Several experiments on natural scenarios of Costa Rica and Spain of different complexity, have been designed. Spectral patterns and thermal anomalies have been calculated as evidences of buried remains and change detection. First results, land cover change analyses and their consequences in the digital heritage registration are discussed.

Simulating the remote handling of the blanket segments in DEMO fusion reactor with thermo-mechanical meshfree multibody dynamics

The present study shows a first approach to the simulation of the remote handling oper- ation which takes into account the thermal and flexible behavior of the blanket segments and its implications on the remote handling equipment, in order to validate and improve its design.

Random-modulation cw lidar system for space-borne carbon dioxide remote sensing based on a high-brightness semiconductor laser

In this paper, we report on the progresses of the BRITESPACE Consortium in order to achieve space-borne LIDAR measurements of atmospheric carbon dioxide concentration based on an all semiconductor laser source at 1.57 ?m. The complete design of the proposed RM-CW IPDA LIDAR has been presented and described in detail. Complete descriptions of the laser module and the FSU have been presented. Two bended MOPAs, emitting at the sounding frequency of the on- and off- IPDA channels, have been proposed as the transmitter optical sources with the required high brightness. Experimental results on the bended MOPAs have been presented showing a high spectral purity and promising expectations on the high output power requirements. Finally, the RM-CW approach has been modelled and an estimation of the expected SNR for the entire system is presented. Preliminary results indicate that a CO2 retrieval precision of 1.5 ppm could be achieved with an average output power of 2 W for each channel.

Laser remote sensing applications (LiDAR) in forest hydrology and the management of river ecosystems.

La utilización de sensores láser desde plataformas aéreas (LiDAR) ofrece nuevas posibilidades en el cartografiado de sistemas fluviales, tanto en áreas densamente cubiertas por vegetación, como en aquellas que presentan una escasa cubierta. La información topográfica de alta resolución que se obtiene a partir de las medidas láser puede ser utilizada en el análisis y estimación de diversas variables hidrológicas, y en el estudio de diferentes componentes del medio fluvial. Entre éstas, cabe citar la vegetación riparia, la morfología fluvial, el régimen hidrológico o el grado de alteración de los ecosistemas debido a las presiones de origen antrópico. La gestión del medio fluvial puede ser mejorada en gran medida gracias a la precisión y fiabilidad de esta información. En muchas ocasiones, el escaso relieve de los valles fluviales y la densa cubierta vegetal que existe en ellos han dificultado la aplicación de otras técnicas de teledetección. Sin embargo, los datos obtenidos mediante altimetría láser son especialmente aconsejables para estos trabajos, mediante análisis numéricos o a través de la simple interpretación de las imágenes obtenidas. Este artículo muestra las posibilidades de uso de los datos LiDAR en hidrología forestal y en la gestión de zonas húmedas, a lo largo de tramos con condiciones climáticas bien diferenciadas. En todas ellas, se comparan los resultados obtenidos mediante la aplicación de distinto software, con el fin de mostrar la mejor metodología de tratamiento de la información láser. Asimismo, se muestra la diferencia con otras técnicas de teledetección, y se muestra la fácil integración de los datos LiDAR con otras herramientas y metodologías de estudio de las variables citadas.

Microinformática en entornos profesionales : instalación, configuración, mantenimiento y reparación

Los sistemas microinformáticos se componen principalmente de hardware y software, con el paso del tiempo el hardware se degrada, se deteriora y en ocasiones se avería. El software evoluciona, requiere un mantenimiento, de actualización y en ocasiones falla teniendo que ser reparado o reinstalado. A nivel hardware se analizan los principales componentes que integran y que son comunes en gran parte estos sistemas, tanto en equipos de sobre mesa como portátiles, independientes del sistema operativo, además de los principales periféricos, también se analizan y recomiendan algunas herramientas necesarias para realizar el montaje, mantenimiento y reparación de estos equipos. Los principales componentes hardware internos son la placa base, memoria RAM, procesador, disco duro, carcasa, fuente de alimentación y tarjeta gráfica. Los periféricos más destacados son el monitor, teclado, ratón, impresora y escáner. Se ha incluido un apartado donde se detallan los distintos tipos de BIOS y los principales parámetros de configuración. Para todos estos componentes, tanto internos como periféricos, se ha realizado un análisis de las características que ofrecen y los detalles en los que se debe prestar especial atención en el momento de seleccionar uno frente a otro. En los casos que existen diferentes tecnologías se ha hecho una comparativa entre ambas, destacando las ventajas y los inconvenientes de unas frente a otras para que sea el usuario final quien decida cual se ajusta mejor a sus necesidades en función de las prestaciones y el coste. Un ejemplo son las impresoras de inyección de tinta frente a las laser o los discos duros mecánicos en comparación con y los discos de estado sólido (SSD). Todos estos componentes están relacionados, interconectados y dependen unos de otros, se ha dedicado un capítulo exclusivamente para estudiar cómo se ensamblan estos componentes, resaltando los principales fallos que se suelen cometer o producir y se han indicado unas serie tareas de mantenimiento preventivo que se pueden realizar para prolongar la vida útil del equipo y evitar averías por mal uso. Los mantenimientos se pueden clasificar como predictivo, perfectivo, adaptativo, preventivo y correctivo. Se ha puesto el foco principalmente en dos tipos de mantenimiento, el preventivo descrito anteriormente y en el correctivo, tanto software como hardware. El mantenimiento correctivo está enfocado al análisis, localización, diagnóstico y reparación de fallos y averías hardware y software. Se describen los principales fallos que se producen en cada componente, cómo se manifiestan o qué síntomas presentan para poder realizar pruebas específicas que diagnostiquen y acoten el fallo. En los casos que es posible la reparación se detallan las instrucciones a seguir, en otro caso se recomienda la sustitución de la pieza o componente. Se ha incluido un apartado dedicado a la virtualización, una tecnología en auge que resulta muy útil para realizar pruebas de software, reduciendo tiempos y costes en las pruebas. Otro aspecto interesante de la virtualización es que se utiliza para montar diferentes servidores virtuales sobre un único servidor físico, lo cual representa un importante ahorro en hardware y costes de mantenimiento, como por ejemplo el consumo eléctrico. A nivel software se realiza un estudio detallado de los principales problemas de seguridad y vulnerabilidades a los que está expuesto un sistema microinformático enumerando y describiendo el comportamiento de los distintos tipos de elementos maliciosos que pueden infectar un equipo, las precauciones que se deben tomar para minimizar los riesgos y las utilidades que se pueden ejecutar para prevenir o limpiar un equipo en caso de infección. Los mantenimientos y asistencias técnicas, en especial las de tipo software, no siempre precisan de la atención presencial de un técnico cualificado, por ello se ha dedicado un capítulo a las herramientas de asistencia remota que se pueden utilizar en este ámbito. Se describen algunas de las más populares y utilizadas en el mercado, su funcionamiento, características y requerimientos. De esta forma el usuario puede ser atendido de una forma rápida, minimizando los tiempos de respuesta y reduciendo los costes. ABSTRACT Microcomputer systems are basically made up of pieces of hardware and software, as time pass, there’s a degradation of the hardware pieces and sometimes failures of them. The software evolves, new versions appears and requires maintenance, upgrades and sometimes also fails having to be repaired or reinstalled. The most important hardware components in a microcomputer system are analyzed in this document for a laptop or a desktop, with independency of the operating system they run. In addition to this, the main peripherals and devices are also analyzed and a recommendation about the most proper tools necessary for maintenance and repair this kind of equipment is given as well. The main internal hardware components are: motherboard, RAM memory, microprocessor, hard drive, housing box, power supply and graphics card. The most important peripherals are: monitor, keyboard, mouse, printer and scanner. A section has been also included where different types of BIOS and main settings are listed with the basic setup parameters in each case. For all these internal components and peripherals, an analysis of their features has been done. Also an indication of the details in which special attention must be payed when choosing more than one at the same time is given. In those cases where different technologies are available, a comparison among them has been done, highlighting the advantages and disadvantages of selecting one or another to guide the end user to decide which one best fits his needs in terms of performance and costs. As an example, the inkjet vs the laser printers technologies has been faced, or also the mechanical hard disks vs the new solid state drives (SSD). All these components are interconnected and are dependent one to each other, a special chapter has been included in order to study how they must be assembled, emphasizing the most often mistakes and faults that can appear during that process, indicating different tasks that can be done as preventive maintenance to enlarge the life of the equipment and to prevent damage because of a wrong use. The different maintenances can be classified as: predictive, perfective, adaptive, preventive and corrective. The main focus is on the preventive maintains, described above, and in the corrective one, in software and hardware. Corrective maintenance is focused on the analysis, localization, diagnosis and repair of hardware and software failures and breakdowns. The most typical failures that can occur are described, also how they can be detected or the specific symptoms of each one in order to apply different technics or specific tests to diagnose and delimit the failure. In those cases where the reparation is possible, instructions to do so are given, otherwise, the replacement of the component is recommended. A complete section about virtualization has also been included. Virtualization is a state of the art technology that is very useful especially for testing software purposes, reducing time and costs during the tests. Another interesting aspect of virtualization is the possibility to have different virtual servers on a single physical server, which represents a significant savings in hardware inversion and maintenance costs, such as electricity consumption. In the software area, a detailed study has been done about security problems and vulnerabilities a microcomputer system is exposed, listing and describing the behavior of different types of malicious elements that can infect a computer, the precautions to be taken to minimize the risks and the tools that can be used to prevent or clean a computer system in case of infection. The software maintenance and technical assistance not always requires the physical presence of a qualified technician to solve the possible problems, that’s why a complete chapter about the remote support tools that can be used to do so has been also included. Some of the most popular ones used in the market are described with their characteristics and requirements. Using this kind of technology, final users can be served quickly, minimizing response times and reducing costs.

LiDAR remote sensing applied to forest resources assessment

Disponer de información precisa y actualizada de inventario forestal es una pieza clave para mejorar la gestión forestal sostenible y para proponer y evaluar políticas de conservación de bosques que permitan la reducción de emisiones de carbono debidas a la deforestación y degradación forestal (REDD). En este sentido, la tecnología LiDAR ha demostrado ser una herramienta perfecta para caracterizar y estimar de forma continua y en áreas extensas la estructura del bosque y las principales variables de inventario forestal. Variables como la biomasa, el número de pies, el volumen de madera, la altura dominante, el diámetro o la altura media son estimadas con una calidad comparable a los inventarios tradicionales de campo. La presente tesis se centra en analizar la aplicación de los denominados métodos de masa de inventario forestal con datos LIDAR bajo diferentes condiciones y características de masa forestal (bosque templados puros y mixtos) y utilizando diferentes bases de datos LiDAR (información proveniente de vuelo nacionales e información capturada de forma específica). Como consecuencia de lo anterior, se profundiza en la generación de inventarios forestales continuos con LiDAR en grandes áreas. Los métodos de masa se basan en la búsqueda de relaciones estadísticas entre variables predictoras derivadas de la nube de puntos LiDAR y las variables de inventario forestal medidas en campo con el objeto de generar una cartografía continua de inventario forestal. El rápido desarrollo de esta tecnología en los últimos años ha llevado a muchos países a implantar programas nacionales de captura de información LiDAR aerotransportada. Estos vuelos nacionales no están pensados ni diseñados para fines forestales por lo que es necesaria la evaluación de la validez de esta información LiDAR para la descripción de la estructura del bosque y la medición de variables forestales. Esta información podría suponer una drástica reducción de costes en la generación de información continua de alta resolución de inventario forestal. En el capítulo 2 se evalúa la estimación de variables forestales a partir de la información LiDAR capturada en el marco del Plan Nacional de Ortofotografía Aérea (PNOA-LiDAR) en España. Para ello se compara un vuelo específico diseñado para inventario forestal con la información de la misma zona capturada dentro del PNOA-LiDAR. El caso de estudio muestra cómo el ángulo de escaneo, la pendiente y orientación del terreno afectan de forma estadísticamente significativa, aunque con pequeñas diferencias, a la estimación de biomasa y variables de estructura forestal derivadas del LiDAR. La cobertura de copas resultó más afectada por estos factores que los percentiles de alturas. Considerando toda la zona de estudio, la estimación de la biomasa con ambas bases de datos no presentó diferencias estadísticamente significativas. Las simulaciones realizadas muestran que las diferencias medias en la estimación de biomasa entre un vuelo específico y el vuelo nacional podrán superar el 4% en áreas abruptas, con ángulos de escaneo altos y cuando la pendiente de la ladera no esté orientada hacia la línea de escaneo. En el capítulo 3 se desarrolla un estudio en masas mixtas y puras de pino silvestre y haya, con un enfoque multi-fuente empleando toda la información disponible (vuelos LiDAR nacionales de baja densidad de puntos, imágenes satelitales Landsat y parcelas permanentes del inventario forestal nacional español). Se concluye que este enfoque multi-fuente es adecuado para realizar inventarios forestales continuos de alta resolución en grandes superficies. Los errores obtenidos en la fase de ajuste y de validación de los modelos de área basimétrica y volumen son similares a los registrados por otros autores (usando un vuelo específico y parcelas de campo específicas). Se observan errores mayores en la variable número de pies que los encontrados en la literatura, que pueden ser explicados por la influencia de la metodología de parcelas de radio variable en esta variable. En los capítulos 4 y 5 se evalúan los métodos de masa para estimar biomasa y densidad de carbono en bosques tropicales. Para ello se trabaja con datos del Parque Nacional Volcán Poás (Costa Rica) en dos situaciones diferentes: i) se dispone de una cobertura completa LiDAR del área de estudio (capitulo 4) y ii) la cobertura LiDAR completa no es técnica o económicamente posible y se combina una cobertura incompleta de LiDAR con imágenes Landsat e información auxiliar para la estimación de biomasa y carbono (capitulo 5). En el capítulo 4 se valida un modelo LiDAR general de estimación de biomasa aérea en bosques tropicales y se compara con los resultados obtenidos con un modelo ajustado de forma específica para el área de estudio. Ambos modelos están basados en la variable altura media de copas (TCH por sus siglas en inglés) derivada del modelo digital LiDAR de altura de la vegetación. Los resultados en el área de estudio muestran que el modelo general es una alternativa fiable al ajuste de modelos específicos y que la biomasa aérea puede ser estimada en una nueva zona midiendo en campo únicamente la variable área basimétrica (BA). Para mejorar la aplicación de esta metodología es necesario definir en futuros trabajos procedimientos adecuados de medición de la variable área basimétrica en campo (localización, tamaño y forma de las parcelas de campo). La relación entre la altura media de copas del LiDAR y el área basimétrica (Coeficiente de Stock) obtenida en el área de estudio varía localmente. Por tanto es necesario contar con más información de campo para caracterizar la variabilidad del Coeficiente de Stock entre zonas de vida y si estrategias como la estratificación pueden reducir los errores en la estimación de biomasa y carbono en bosques tropicales. En el capítulo 5 se concluye que la combinación de una muestra sistemática de información LiDAR con una cobertura completa de imagen satelital de moderada resolución (e información auxiliar) es una alternativa efectiva para la realización de inventarios continuos en bosques tropicales. Esta metodología permite estimar altura de la vegetación, biomasa y carbono en grandes zonas donde la captura de una cobertura completa de LiDAR y la realización de un gran volumen de trabajo de campo es económica o/y técnicamente inviable. Las alternativas examinadas para la predicción de biomasa a partir de imágenes Landsat muestran una ligera disminución del coeficiente de determinación y un pequeño aumento del RMSE cuando la cobertura de LiDAR es reducida de forma considerable. Los resultados indican que la altura de la vegetación, la biomasa y la densidad de carbono pueden ser estimadas en bosques tropicales de forma adecuada usando coberturas de LIDAR bajas (entre el 5% y el 20% del área de estudio). ABSTRACT The availability of accurate and updated forest data is essential for improving sustainable forest management, promoting forest conservation policies and reducing carbon emissions from deforestation and forest degradation (REDD). In this sense, LiDAR technology proves to be a clear-cut tool for characterizing forest structure in large areas and assessing main forest-stand variables. Forest variables such as biomass, stem volume, basal area, mean diameter, mean height, dominant height, and stem number can be thus predicted with better or comparable quality than with costly traditional field inventories. In this thesis, it is analysed the potential of LiDAR technology for the estimation of plot-level forest variables under a range of conditions (conifer & broadleaf temperate forests and tropical forests) and different LiDAR capture characteristics (nationwide LiDAR information vs. specific forest LiDAR data). This study evaluates the application of LiDAR-based plot-level methods in large areas. These methods are based on statistical relationships between predictor variables (derived from airborne data) and field-measured variables to generate wall to wall forest inventories. The fast development of this technology in recent years has led to an increasing availability of national LiDAR datasets, usually developed for multiple purposes throughout an expanding number of countries and regions. The evaluation of the validity of nationwide LiDAR databases (not designed specifically for forest purposes) is needed and presents a great opportunity for substantially reducing the costs of forest inventories. In chapter 2, the suitability of Spanish nationwide LiDAR flight (PNOA) to estimate forest variables is analyzed and compared to a specifically forest designed LiDAR flight. This study case shows that scan angle, terrain slope and aspect significantly affect the assessment of most of the LiDAR-derived forest variables and biomass estimation. Especially, the estimation of canopy cover is more affected than height percentiles. Considering the entire study area, biomass estimations from both databases do not show significant differences. Simulations show that differences in biomass could be larger (more than 4%) only in particular situations, such as steep areas when the slopes are non-oriented towards the scan lines and the scan angles are larger than 15º. In chapter 3, a multi-source approach is developed, integrating available databases such as nationwide LiDAR flights, Landsat imagery and permanent field plots from SNFI, with good resultos in the generation of wall to wall forest inventories. Volume and basal area errors are similar to those obtained by other authors (using specific LiDAR flights and field plots) for the same species. Errors in the estimation of stem number are larger than literature values as a consequence of the great influence that variable-radius plots, as used in SNFI, have on this variable. In chapters 4 and 5 wall to wall plot-level methodologies to estimate aboveground biomass and carbon density in tropical forest are evaluated. The study area is located in the Poas Volcano National Park (Costa Rica) and two different situations are analyzed: i) available complete LiDAR coverage (chapter 4) and ii) a complete LiDAR coverage is not available and wall to wall estimation is carried out combining LiDAR, Landsat and ancillary data (chapter 5). In chapter 4, a general aboveground biomass plot-level LiDAR model for tropical forest (Asner & Mascaro, 2014) is validated and a specific model for the study area is fitted. Both LiDAR plot-level models are based on the top-of-canopy height (TCH) variable that is derived from the LiDAR digital canopy model. Results show that the pantropical plot-level LiDAR methodology is a reliable alternative to the development of specific models for tropical forests and thus, aboveground biomass in a new study area could be estimated by only measuring basal area (BA). Applying this methodology, the definition of precise BA field measurement procedures (e.g. location, size and shape of the field plots) is decisive to achieve reliable results in future studies. The relation between BA and TCH (Stocking Coefficient) obtained in our study area in Costa Rica varied locally. Therefore, more field work is needed for assessing Stocking Coefficient variations between different life zones and the influence of the stratification of the study areas in tropical forests on the reduction of uncertainty. In chapter 5, the combination of systematic LiDAR information sampling and full coverage Landsat imagery (and ancillary data) prove to be an effective alternative for forest inventories in tropical areas. This methodology allows estimating wall to wall vegetation height, biomass and carbon density in large areas where full LiDAR coverage and traditional field work are technically and/or economically unfeasible. Carbon density prediction using Landsat imaginery shows a slight decrease in the determination coefficient and an increase in RMSE when harshly decreasing LiDAR coverage area. Results indicate that feasible estimates of vegetation height, biomass and carbon density can be accomplished using low LiDAR coverage areas (between 5% and 20% of the total area) in tropical locations.

Osiris— The optical, spectroscopic and infrared remote imaging system for the Rosetta orbiter

The scientific objectives, design, and implementation of the Optical, Spectroscopic, and Infrared Remote Imaging System (OSIRIS) for the International Rosetta Mission are described. The instrument comprises two camera systems with a common electronics box. A narrow angle camera will provide high resolution images of the structure and morphology of the nucleus of a comet. A wide angle camera with high straylight rejection and dynamic range will be used to investigate the innermost coma and the emission process at the surface of the comet. An infrared imaging system, which dramatically enhances the scientific return has been included in the narrow angle camera at little extra cost.

Climate and infectious disease: Use of remote sensing for detection of Vibrio cholerae by indirect measurement

It has long been known that cholera outbreaks can be initiated when Vibrio cholerae, the bacterium that causes cholera, is present in drinking water in sufficient numbers to constitute an infective dose, if ingested by humans. Outbreaks associated with drinking or bathing in unpurified river or brackish water may directly or indirectly depend on such conditions as water temperature, nutrient concentration, and plankton production that may be favorable for growth and reproduction of the bacterium. Although these environmental parameters have routinely been measured by using water samples collected aboard research ships, the available data sets are sparse and infrequent. Furthermore, shipboard data acquisition is both expensive and time-consuming. Interpolation to regional scales can also be problematic. Although the bacterium, V. cholerae, cannot be sensed directly, remotely sensed data can be used to infer its presence. In the study reported here, satellite data were used to monitor the timing and spread of cholera. Public domain remote sensing data for the Bay of Bengal were compared directly with cholera case data collected in Bangladesh from 1992–1995. The remote sensing data included sea surface temperature and sea surface height. It was discovered that sea surface temperature shows an annual cycle similar to the cholera case data. Sea surface height may be an indicator of incursion of plankton-laden water inland, e.g., tidal rivers, because it was also found to be correlated with cholera outbreaks. The extensive studies accomplished during the past 25 years, confirming the hypothesis that V. cholerae is autochthonous to the aquatic environment and is a commensal of zooplankton, i.e., copepods, when combined with the findings of the satellite data analyses, provide strong evidence that cholera epidemics are climate-linked.

Swiveling-domain mechanism for enzymatic phosphotransfer between remote reaction sites.

The crystal structure of pyruvate phosphate dikinase, a histidyl multiphosphotransfer enzyme that synthesizes adenosine triphosphate, reveals a three-domain molecule in which the phosphohistidine domain is flanked by the nucleotide and the phosphoenolpyruvate/pyruvate domains, with the two substrate binding sites approximately 45 angstroms apart. The modes of substrate binding have been deduced by analogy to D-Ala-D-Ala ligase and to pyruvate kinase. Coupling between the two remote active sites is facilitated by two conformational states of the phosphohistidine domain. While the crystal structure represents the state of interaction with the nucleotide, the second state is achieved by swiveling around two flexible peptide linkers. This dramatic conformational transition brings the phosphocarrier residue in close proximity to phosphoenolpyruvate/pyruvate. The swiveling-domain paradigm provides an effective mechanism for communication in complex multidomain/multiactive site proteins.

Isolation and molecular characterization of a human T-cell lymphotropic virus type II (HTLV-II), subtype B, from a healthy Pygmy living in a remote area of Cameroon: an ancient origin for HTLV-II in Africa.

We report characterization of a human T-cell lymphotropic virus type II (HTLV-II) isolated from an interleukin 2-dependent CD8 T-cell line derived from peripheral blood mononuclear cells of a healthy, HTLV-II-seropositive female Bakola Pygmy, aged 59, living in a remote equatorial forest area in south Cameroon. This HTLLV-II isolate, designated PYGCAM-1, reacted in an indirect immunofluorescence assay with HTLV-II and HTLV-I polyclonal antibodies and with an HTLV-I/II gp46 monoclonal antibody but not with HTLV-I gag p19 or p24 monoclonal antibodies. The cell line produced HTLV-I/II p24 core antigen and retroviral particles. The entire env gene (1462 bp) and most of the long terminal repeat (715 bp) of the PYGCAM-1 provirus were amplified by the polymerase chain reaction using HTLV-II-specific primers. Comparison with the long terminal repeat and envelope sequences of prototype HTLV-II strains indicated that PYGCAM-1 belongs to the subtype B group, as it has only 0.5-2% nucleotide divergence from HTLV-II B strains. The finding of antibodies to HTLV-II in sera taken from the father of the woman in 1984 and from three unrelated members of the same population strongly suggests that PYGCAM-1 is a genuine HTLV-II that has been present in this isolated population for a long time. The low genetic divergence of this African isolate from American isolates raises questions about the genetic variability over time and the origin and dissemination of HTLV-II, hitherto considered to be predominantly a New World virus.

Synchronous collaboration of virtual and remote laboratories

Virtual and remote laboratories(VRLs) are e-learning resources which enhance the accessibility of experimental setups providing a distance teaching framework which meets the student's hands-on learning needs. In addition, online collaborative communication represents a practical and a constructivist method to transmit the knowledge and experience from the teacher to students, overcoming physical distance and isolation. Thus, the integration of learning environments in the form of VRLs inside collaborative learning spaces is strongly desired. Considering these facts, the authors of this document present an original approach which enables user to share practical experiences while they work collaboratively through the Internet. This practical experimentation is based on VRLs, which have been integrated inside a synchronous collaborative e-learning framework. This article describes the main features of this system and its successful application for science and engineering subjects.

Practical experiences on a real pumping system emulated by a hardware model and used as a remote laboratory

Paper submitted to ACE 2013, 10th IFAC Symposium on Advances in Control Education, University of Sheffield, UK, August 28-30, 2013.