Brucelosis bovina: evaluación de los sistemas de vigilancia epidemiológica aplicados en Uruguay

Esta investigación se enmarca en el campo de la sanidad animal y aborda las diferentes estrategias utilizadas en la campaña de control y erradicación de la Brucelosis Bovina en la República Oriental del Uruguay. Se encuadra en el proyecto de investigación “Evaluación y perfeccionamiento de herramientas para mejorar su eficacia y aplicación de recursos en el combate de la Brucelosis Bovina”, financiado por el Fondos Sectorial de Salud Animal ANII-FSSA_X_2014_1_106078. En referencia a la metodología se plantea un abordaje cuantitativo, de tipo retrospectivo. Se utilizaron fuentes de datos primarias del MGAP, tomando las bases de datos existentes en el Sistema de Información de Salud Animal (SISA) y del Sistema Nacional de Información Ganadera (SNIG). Se propuso analizar los diferentes componentes de la vigilancia y evaluar su eficiencia para la detección de la enfermedad, como la evaluación de la evolución temporal de los focos de Brucelosis Bovina. Las conclusiones de esta investigación permitieron reconocer una mayor eficacia cuando se analizan diferentes estrategias territoriales de vigilancia en relación a los focos a la zona de un buffer de cinco km y que el 31% de los linderos a foco caen fuera de la seccional policial, lo que respalda el cambio de criterio de zona de riesgo para el muestreo previo al movimiento. Al estudiar la distribución espacial se observó una mayor concentración de focos del centro del país hacia el norte, identificando un comportamiento regional diferencial en determinadas áreas. En cuanto al tiempo de saneamiento el 80% de los focos duran menos de dos años y no se aprecian diferencias entre departamentos. En función de la prevalencia inicial se pudo observar una evolución en la detección precoz ya que han ido disminuyendo los focos. Los que reinciden son un 4% de los registrados y no se encuentra una concentracion geográfica de estos. En función del estudio de los componentes del sistema de vigilancia, el componente de habilitación y refrendación de tambos es el que requiere mayor número de muestras para detectar un foco, y el componente más efectivo es la investigación en predios relacionados epidemiológicamente. Las construcciones alcanzadas permitieron considerar que es posible erradicar la Brucelosis bovina en Uruguay, por medio de la continuidad y avance en las estrategias de vigilancia epidemiológica que se vienen desarrollando y del saneamiento de los focos detectados

DynACof, a model fro growth, yield, carbon, water, energy balances and ecosystem services of Coffea in agroforestry

Agroforestry systems (AFS) are complex to model mainly due to the high spatial variability induced by the shade trees. Recently, the microclimate and lighf heterogeneity issue in AFS has been addressed using the 30 ecophysiological process-based model MAESPA (Charbonnier et al., 2013; Vezy et al., 2018). MAESPA surpassed the classical sun/shade dichotomy in AFS (Charbonnier et al., 2014) and provided continuous maps of e.g. available light, light-use~ fficiency and canopy temperature within Coffea Agroforestry Systems (GAS). A step further was to design a crop model for Coffea grown under agroforestry that would benefit from this continuum to estimate ecosystem services on the long term and under climate change scenarios. We designed DynA_Cof, a new process-based growth and yield model to compute plot-scale net and gross primary productivity, carbon allocation, growth, yield, energy, and water balance of GAS according to shade tree species and management, while accounting for fine-scale spatial effects using MAESPA metamodels (Figure 1). DynA_Cof satisfactorily simulated the daily plot-scale gross primary productivity (RMSE= 1.69 gc m-2 d-1 on 1562 days) and the energy and water balances (RMSE: AET = 0.63 mm d-1 , H= 1.27 MJ m-2 d-1, Rn= 1.98 MJ m-2 d-1) compared to measurements from an eddy-flux tower in Aquiares (Costa Rica) and also the NPP for above and below-ground organs, coffee bean yield and shade tree wood production compared to a comprehensive database from this site

HUMAN4D: A human-centric multimodal dataset for motions and immersive media

We introduce HUMAN4D, a large and multimodal 4D dataset that contains a variety of human activities simultaneously captured by a professional marker-based MoCap, a volumetric capture and an audio recording system. By capturing 2 female and 2 male professional actors performing vari

A collaborative VR Murder Mystery using Photorealistic User Representations

The VRTogether project has developed a Social VR platform for remote communication and collaboration. The hyper-realistic representation of users, as volumetric video, allows for natural interaction in a virtual environment with others. This video shows one of the use cases, an escape room style, where remote users need to collaboratively resolve a murder mystery. The experience takes place in the victim’s apartment where the police team (avatars) together with up to four real-time captured users (point clouds), work as a team to find clues and come up with a conclusion about what happened to the victim and who was the criminal. This experience includes a layer of interaction, enabling the users to interact with the environment, by touching objects, and to talk to the characters. It also allows for navigating between the rooms of the apartment. The experience provides immersion and social connectedness, where users are protagonists of the story, sharing the virtual environment and following the narrative. The combination of virtual reality environments (space and characters) with novel technologies for real-time volumetric video conferencing enables unique new experiences in a number of areas such as healthcare, broadcasting, and gaming. The video can be watched here: https://youtu.be/Hsj1YWo55k

New insights into the genetic etiology of Alzheimer's disease and related dementias

Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/'proxy' AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele

Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores

Funder: Funder: Fundación bancaria ‘La Caixa’ Number: LCF/PR/PR16/51110003 Funder: Grifols SA Number: LCF/PR/PR16/51110003 Funder: European Union/EFPIA Innovative Medicines Initiative Joint Number: 115975 Funder: JPco-fuND FP-829-029 Number: 733051061Genetic discoveries of Alzheimer's disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer's disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer's disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer's disease

Common variants in Alzheimer's disease and risk stratification by polygenic risk scores.

Funder: Funder: Fundación bancaria ‘La Caixa’ Number: LCF/PR/PR16/51110003 Funder: Grifols SA Number: LCF/PR/PR16/51110003 Funder: European Union/EFPIA Innovative Medicines Initiative Joint Number: 115975 Funder: JPco-fuND FP-829-029 Number: 733051061Genetic discoveries of Alzheimer's disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer's disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer's disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer's disease