Time and Its Object: A Perspective from Amerindian and Melanesian Societies on the Temporality of Images

This volume examines the way objects and images relate to and shape notions of temporality and history. Bringing together ethnographic studies from the Lowlands of Central and South America and Melanesia, it explores the temporality inhering in images and artefacts from a comparative perspective. The chapters focus on how peoples in both regions ‘live in’ and ‘navigate’ time each through their distinctive systems of images and the processes and actions by which these come to be manifest in objects. With original theoretical and ethnographic contributions, the book is valuable reading for scholars interested in visual and material culture and in anthropological approaches to time

Effects of dorsolateral prefrontal cortex lesion on motor habit and performance assessed with manual grasping and control of force in macaque monkeys.

In the context of an autologous adult neural cell ecosystem (ANCE) transplantation study, four intact adult female macaque monkeys underwent a unilateral biopsy of the dorsolateral prefrontal cortex (dlPFC) to provide the cellular material needed to obtain the ANCE. Monkeys were previously trained to perform quantitative motor (manual dexterity) tasks, namely, the "modified-Brinkman board" task and the "reach and grasp drawer" task. The aim of the present study was to extend preliminary data on the role of the prefrontal cortex in motor habit and test the hypothesis that dlPFC contributes to predict the grip force required when a precise level of force to be generated is known beforehand. As expected for a small dlPFC biopsy, neither the motor performance (score) nor the spatiotemporal motor sequences were affected in the "modified-Brinkman board" task, whereas significant changes (mainly decreases) in the maximal grip force (force applied on the drawer knob) were observed in the "reach and grasp drawer" task. The present data in the macaque monkey related to the prediction of grip force are well in line with the previous fMRI data reported for human subjects. Moreover, the ANCE transplantation strategy (in the case of stroke or Parkinson's disease) based on biopsy in dlPFC does not generate unwanted motor consequences, at least as far as motor habit and motor performance are concerned in the context of a sequential grasping a small objects, which does not require the development of significant force levels

Coupling study of the Variable Infiltration Capacity (VIC) model with Weather Research and Forecasting (WRF) model to simulate the streamflow in the Guadalquivir Basin

Variable Infiltration Capacity (VIC) model is a large-scale hydrologic model. Land surface is modeled as a grid of large and uniform cells with sub-grid heterogeneity (e.g. land cover), while water influx is local, only depending from the interaction between grid cell and local atmosphere environment. Water streamflow is obtained separately from the land surface simulation, using the Routing Model. The goal of this work consists into set an optimal hydrological and climate model to study the evolution of the streamflow of Guadalquivir Basin, with different future land use, land cover and climate scenarios, implemented with the regional Weather Research and Forecasting (WRF) model. In this work we present some results concerning the calibration of the most relevant parameters of VIC model, comparing the streamflow simulations obtained from the observational climate data SPAIN02 and WRF outputs databases, with the use of observational reservoirs and gauging stations daily streamflow time series, obtained from CEDEX database, in the time period 1988-1997.El modelo Variable Infiltration Capacity (VIC) es un modelo hidrológico de gran escala. La superficie terrestre es modelada considerando una gran rejilla de celdas uniformes que presentan heterogeneidad a escala de sub-rejilla (esto es, cubierta superficial), mientras que el flujo de agua es local, únicamente dependiente de la interacción entre celdas y el medio ambiente local. El caudal de agua se obtiene separadamente a partir de la simulación de la superficie terrestre usando el denominado modelo Routing. El objetivo de este trabajo consiste en calibrar un modelo hidrológico y climático de forma óptima con el fin de estudiar la evolución del caudal en la Cuenca del Guadalquivir, con diferentes posibles usos del suelo futuros, cobertura superficial y escenarios climáticos, implementado con el modelo regional Weather Research and Forecasting (WRF). En este trabajo se presentan resultados relativos a la calibración de los parámetros más relevantes del modelo VIC, comparando las simulaciones de caudal obtenidas por el mismo a partir de los datos climáticos observacionales de SPAIN02 y de las salidas del modelo WRF, con los datos de caudal diario observacionales del CEDEX, para el periodo 1988-1997.This work has been financed by the projects P11-RNM-7941 (Junta de Andalucía-Spain) and CGL2013-48539-R (MINECO-Spain, FEDER)

Evaluación de simulaciones de la precipitación en clima presente usando el modelo WRF en la Península Ibérica

En este estudio se ha llevado a cabo un conjunto de simulaciones de alta resolución espacio-temporal para un periodo de 31 años haciendo uso del modelo regional Weather Reserch and Forecasting (WRF) con el fin de evaluar la capacidad del modelo para simular la variabilidad de las precipitaciones en la Península Ibérica. Las simulaciones se realizaron usando como condiciones iniciales y de contorno los datos de reanálisis de ERA-Interim, como “condiciones de contorno perfectas”, y las salidas globales del modelo CMIP5 CESM corregidas en sesgo, sobre un dominio centrado en la PI anidado en el dominio EURO-CORDEX. La evaluación se basó en la comparación de las salidas del modelo con los datos observacionales Spain02 para las precipitaciones en España y PT02 para Portugal, a diferentes escalas temporales con el objetivo de poder averiguar si las simulaciones regionalizadas son capaces de capturar tanto los valores medios como los eventos extremos. Los resultados indican que aunque existen ciertos errores substanciales, WRF es capaz de capturar los principales patrones espaciales de la precipitación en la PI, resultando una herramienta útil a la hora de realizar simulaciones regionales para zonas con una topografía compleja como es la Península Ibérica.A set of 31-yr high-resolution simulations has been carried out with the regional Weather Research and Forecasting (WRF) model in order to evaluate its capability to simulate precipitation variability in the Iberian Peninsula. The WRF model was forced by the ERA-Interim data as “perfect boundary conditions”, and the global bias-corrected climate model outputs from CMIP5 CESM model, over a domain encompassing the IP and nested in the coarser EURO-CORDEX domain. Evaluation was based on comparison at different time scales in order to assess the model ability to capture long-term mean precipitation values and high-order statistics (extreme events). For this end, we used two different observational gridded datasets: the Spain02 data for Spanish precipitation and the PT02 data for Portugal. Although considerable errors are still observed, results show that WRF is able to capture the main spatial precipitation patterns in IP. Therefore, we can say that WRF provides useful information at regional scale, with significant improvement in complex terrain areas such as Iberian Peninsula.Este estudio está financiado por los proyectos P11-RNM-7941 (Junta de Andalucía-Spain) y CGL2013-48539-R (MINECO-Spain, FEDER)

Evaluación de simulaciones de la precipitación en clima presente usando el modelo WRF en la Península Ibérica

Ponencia presentada en: X Congreso de la Asociación Española de Climatología celebrado en Alicante entre el 5 y el 8 de octubre de 2016.[ES]En este estudio se ha llevado a cabo un conjunto de simulaciones de alta resolución espacio-temporal para un periodo de 31 años haciendo uso del modelo regional Weather Reserch and Forecasting (WRF) con el fin de evaluar la capacidad del modelo para simular la variabilidad de las precipitaciones en la Península Ibérica. Las simulaciones se realizaron usando como condiciones iniciales y de contorno los datos de reanálisis de ERA-Interim, como "condiciones de contorno perfectas", y las salidas globales del modelo CMIP5 CESM corregidas en sesgo, sobre un dominio centrado en la PI anidado en el dominio EURO-CORDEX. La evaluación se basó en la comparación de las salidas del modelo con los datos observacionales Spain02 para las precipitaciones en España y PT02 para Portugal, a diferentes escalas temporales con el objetivo de poder averiguar si las simulaciones regionalizadas son capaces de capturar tanto los valores medios como los eventos extremos.[EN]A set of 31-yr high-resolution simulations has been carried out with the regional Weather Research and Forecasting (WRF) model in order to evaluate its capability to simulate precipitation variability in the Iberian Peninsula. The WRF model was forced by the ERA-Interim data as “perfect boundary conditions”, and the global bias-corrected climate model outputs from CMIP5 CESM model, over a domain encompassing the IP and nested in the coarser EURO-CORDEX domain. Evaluation was based on comparison at different time scales in order to assess the model ability to capture long-term mean precipitation values and high-order statistics (extreme events). For this end, we used two different observational gridded datasets: the Spain02 data for Spanish precipitation and the PT02 data for Portugal.Este estudio está financiado por los proyectos P11-RNM-7941 (Junta de Andalucía-Spain) y CGL2013-48539-R (MINECO-Spain, FEDER)

Regional drought variability assessment over Spain using WRF model

This study assesses the ability of the Weather Research & Forecasting (WRF) model to reproduce dry and wet periods in a complex terrain region such as Spain. For this end, we have computed two different drought indices: the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI), which is able to identify the drought patterns in a context of global warming. For comparative purposes, we also computed the drought indices using two different data sources as observational data: the monthly rainfall from MOPREDAS and the (maximum and minimum) monthly temperature from MOTEDAS gridded datasets. ERA-Interim data were also used to calculate the drought indices in order to determinate the improvement obtained using dynamical downscaling regarding to the driving data. Results show that WRF provides an improvement over ERA-Interim in term of droughts simulations, presenting higher temporal correlations with respect to observational data. This fact suggests that WRF outputs may be more suitable than larger-scale fields from General Circulation Models (GCMs) to perform future projections of droughts events.Este estudio evalúa la habilidad del modelo Weather Research & Forecasting (WRF) para reproducir periodos húmedos y secos en terrenos geográficamente complejos como España. Con este objetivo se han calculado dos índices de sequía diferentes: el Índice Estandarizado de Precipitación (SPI) y el Índice Estandarizado de Precipitación Evapotranspiración (SPEI), capaz de identificar patrones de sequía en el contexto de calentamiento global. Con propósitos comparativos, se calcularon también los índices de sequía usando dos bases de datos diferentes como datos observacionales: las precipitaciones mensuales de los datos en rejilla de MOPREDAS y las temperaturas (máximas y mínimas) mensuales de MOTEDAS. Los resultados muestran que las salidas del modelo WRF suponen una mejora con respecto a los datos de ERA-Interim en cuanto a las simulaciones de sequías presentando mayores coeficientes de correlación temporal con los datos observacionales. Este hecho sugiere que las salidas de WRF pueden ser más idóneas que los datos de Modelos Climáticos Globales (GCMs) a la hora de realizar proyecciones futuras para episodios de sequía.This work has been financed by the projects P11-RNM-7941 (Junta de Andalucía-Spain) and CGL2013-48539-R (MINECO-Spain, FEDER)

Tumor-derived interleukin-10 as a prognostic factor in stage III patients undergoing adjuvant treatment with an autologous melanoma cell vaccine.

OBJECTIVES: Interleukin-10 (IL-10) downregulates T-cell-mediated immune responses. We studied the association between IL-10 production by freshly isolated melanoma cell suspensions in vitro and overall survival in patients undergoing adjuvant treatment with a vaccine prepared from the same autologous melanoma cells modified with a hapten, dinitrophenyl (DNP). METHODS: Forty-four patients with cutaneous melanoma (29 stage III and 15 stage IV) were prospectively evaluated. Tumor cells were extracted from metastatic deposits for production of DNP-modified autologous melanoma cell vaccine. Small aliquots of the melanoma cell suspensions were separated prior to vaccine processing and cultured overnight for IL-10 production. Based on a blind assessment of the distribution of IL-10 levels in the culture supernatants, a cutoff of 200 pg/ml was used to define high versus low IL-10 producers. Cox regression model was used for multivariate analysis. Overall survival was calculated using the Kaplan-Meier method, and survival curves were compared with the log-rank test. RESULTS: Out of 44 patients, 29 were low and 15 were high IL-10 producers. The median OS was significantly worse for high compared with low IL-10 producers (10.5 months vs. 42 months; P = 0.022). In stage III patients, the multivariate hazard ratio for high versus low IL-10 producers was 2.92 (95% CI, 1.04-8.20; P = 0.041). The corresponding hazard ratio in stage IV patients was 0.92 (95% CI, 1.04-8.20; P = 0.888). CONCLUSIONS: High IL-10 production in the tumor microenvironment could be a determinant of clinical outcomes in stage III melanoma patients receiving autologous melanoma cell vaccine

The CD85j+ NK Cell Subset Potently Controls HIV-1 Replication in Autologous Dendritic Cells

Natural killer (NK) cells and dendritic cells (DC) are thought to play critical roles in the first phases of HIV infection. In this study, we examined changes in the NK cell repertoire and functions occurring in response to early interaction with HIV-infected DC, using an autologous in vitro NK/DC coculture system. We show that NK cell interaction with HIV-1-infected autologous monocyte-derived DC (MDDC) modulates NK receptor expression. In particular, expression of the CD85j receptor on NK cells was strongly down-regulated upon coculture with HIV-1-infected MDDC. We demonstrate that CD85j+ NK cells exert potent control of HIV-1 replication in single-round and productively HIV-1-infected MDDC, whereas CD85j− NK cells induce a modest and transient decrease of HIV-1 replication. HIV-1 suppression in MDCC by CD85j+ NK cells required cell-to-cell contact and did not appear mediated by cytotoxicity or by soluble factors. HIV-1 inhibition was abolished when NK-MDDC interaction through the CD85j receptor was blocked with a recombinant CD85j molecule, whereas inhibition was only slightly counteracted by blocking HLA class I molecules, which are known CD85j ligands. After masking HLA class I molecules with specific antibodies, a fraction of HIV-1 infected MDDC was still strongly stained by a recombinant CD85j protein. These results suggest that CD85j+ NK cell inhibition of HIV-1 replication in MDDC is mainly mediated by CD85j interaction with an unknown ligand (distinct from HLA class I molecules) preferentially expressed on HIV-1-infected MDDC