Mexico 1968 and South Africa 2010: development, leadership and legacies

In this essay we compare the rationales for hosting the 1968 Olympic Games in Mexico City with the FIFA World Cup 2010 to be held in South Africa. We draw on in-depth interviews, archival materials and a range of press coverage. We argue that three broad overlapping themes are apparent in both case studies. These are the developmental rhetoric both hosts employ in the justification of holding the events in their respective countries. Mexico and South Africa convey a leadership role that stretches across the South American and African continent respectively. Finally, both countries argue that the legacy the respective tournament leaves is important

Interstate Data Moving and the Last Block Problem: Lessons Learned in CAPS Spring Experiment 2014

Biography Keith Brewster is a Senior Research Scientist at the Center for Analysis and Prediction of Storms at the University of Oklahoma and an Adjunct Associate Professor in the OU School of Meteorology. His research involves data assimilation of advanced observing systems for high resolution numerical weather analysis and prediction, including data from Doppler radars, satellites, wind profilers, aircraft and surface mesonet systems. He earned an M.S. and Ph.D. in Meteorology from the University of Oklahoma and a B.S. from the University of Utah.Talk Abstract In Spring of 2014, for the first time, CAPS endeavored to send complete high resolution 4D numerical weather prediction forecast files from the National Institute for Computational Sciences (NICS) in Oak Ridge TN to forecasters in the Hazardous Weather Testbed in the National Weather Center at the University of Oklahoma. Having the complete files would allow the use of 3D visualization tools and exploration of the forecast output not previously possible. As weather forecasts, the data were very perishable and prompt reliable throughput was essential. The issues around moving very large datasets in real time halfway across the country are explored from the end-user perspective, with some lessons learned and some future solutions presented.University of Oklahoma National Weather Center National Institute for Computational Sciences (NICS) in Oak Ridge TN OKLAHOMA SUPERCOMPUTING SYMPOSIUM 2014 University of Oklahoma Supercomputing Center for Education & Research (OSCER)N

Caciquismo in post-revolutionary Mexico : the case of Gabriel Barrios Cabrera in the Sierra Norte de Puebla

This thesis focuses upon the cacicazgo of Gabriel Barrios Cabrera, in the Sierra Norte de Puebla, Mexico during the 1920s. It seeks to analysis the extent to which previously identified trends in post-revolutionary regional politics can be applied to this isolated mountainous region. Conclusions are based upon evidence obtained from national, state, municipal, and private archives in Mexico. In addition, a programme of oral history was conducted within the Sierra de Puebla. The study is divided into six main components, each representing a significant aspect of Barrios' cacicazgo. These comprise: local historical precedents of Indian leadership and co-operation with non-Indian politicians; the range of responsibilities and opportunities that Barrios enjoyed in his pivotal role as a federal military officer under Carrancista and Sonorense administrations; the nature of his grass-roots support, his use of cuerpos voluntarios and patronage of municipal officials; Barrios' political affiliations beyond the Sierra and his struggle for political supremacy within the Sierra; the nature and motives of the cacique's regional development initiatives, and an analysis of the contradiction of his apparent pro-campesino, yet anti-agrarian, stance; a case study of the district of Zacapoaxtla, which demonstrates the importance of local factionalism and portrays the practical application of the Barrios cacicazgo at the most local level. After identifying the causes of Barrios' fall from grace in 1930, the thesis concludes by arguing that caciquismo in the Sierra de Puebla was essentially different from models of regional power-broking found elsewhere in postrevolutionary Mexico. While similarities existed, Barrios' style of leadership displayed more of a consistency with local conditions and precedents than any broader ideological tendencies. Continued research at the local level is essential if we are to obtain a clearer understanding of the diversity of experiences endured by Mexicans in the aftermath of revolution

Genome divergence and reproductive incompatibility among populations of Ganaspis near brasiliensis.

During the last decade, the spotted wing drosophila, Drosophila suzukii, has spread from eastern Asia to the Americas, Europe, and Africa. This fly attacks many species of cultivated and wild fruits with soft, thin skins, where its serrated ovipositor allows it to lay eggs in undamaged fruit. Parasitoids from the native range of D. suzukii may provide sustainable management of this polyphagous pest. Among these parasitoids, host-specificity testing has revealed a lineage of Ganaspis near brasiliensis, referred to in this paper as G1, that appears to be a cryptic species more host-specific to D. suzukii than other parasitoids. Differentiation among cryptic species is critical for introduction and subsequent evaluation of their impact on D. suzukii. Here, we present results on divergence in genomic sequences and architecture and reproductive isolation between lineages of Ganaspis near brasiliensis that appear to be cryptic species. We studied five populations, two from China, two from Japan, and one from Canada, identified as the G1 vs G3 lineages based on differences in cytochrome oxidase l sequences. We assembled and annotated the genomes of these populations and analyzed divergences in sequence and genome architecture between them. We also report results from crosses to test reproductive compatibility between the G3 lineage from China and the G1 lineage from Japan. The combined results on sequence divergence, differences in genome architectures, ortholog divergence, reproductive incompatibility, differences in host ranges and microhabitat preferences, and differences in morphology show that these lineages are different species. Thus, the decision to evaluate the lineages separately and only import and introduce the more host-specific lineage to North America and Europe was appropriate

Prediction of Convective Storms at Convection-Resolving 1 km Resolution over Continental United States with Radar Data Assimilation: An Example Case of 26 May 2008 and Precipitation Forecasts from Spring 2009

For the first time ever, convection-resolving forecasts at 1 km grid spacing were produced in realtime in spring 2009 by the Center for Analysis and Prediction of Storms (CAPS) at the University of Oklahoma. The forecasts assimilated both radial velocity and reflectivity data from all operational WSR-88D radars within a domain covering most of the continental United States. In preparation for the realtime forecasts, 1 km forecast tests were carried out using a case from spring 2008 and the forecasts with and without assimilating radar data are compared with corresponding 4 km forecasts produced in realtime. Significant positive impact of radar data assimilation is found to last at least 24 hours. The 1 km grid produced a more accurate forecast of organized convection, especially in structure and intensity details. It successfully predicted an isolated severe-weather-producing storm nearly 24 hours into the forecast, which all ten members of the 4 km real time ensemble forecasts failed to predict. This case, together with all available forecasts from 2009 CAPS realtime forecasts, provides evidence of the value of both convection-resolving 1 km grid and radar data assimilation for severe weather prediction for up to 24 hours

THE COMMUNITY LEVERAGED UNIFIED ENSEMBLE (CLUE) IN THE 2016 NOAA/HAZARDOUS WEATHER TESTBED SPRING FORECASTING EXPERIMENT

One primary goal of annual Spring Forecasting Experiments (SFEs), which are coorganized by NOAA’s National Severe Storms Laboratory and Storm Prediction Center and conducted in the National Oceanic and Atmospheric Administration’s (NOAA) Hazardous Weather Testbed, is documenting performance characteristics of experimental, convection-allowing modeling systems (CAMs). Since 2007, the number of CAMs (including CAM ensembles) examined in the SFEs has increased dramatically, peaking at six different CAM ensembles in 2015. Meanwhile, major advances have been made in creating, importing, processing, verifying, and developing tools for analyzing and visualizing these large and complex datasets. However, progress toward identifying optimal CAM ensemble configurations has been inhibited because the different CAM systems have been independently designed, making it difficult to attribute differences in performance characteristics. Thus, for the 2016 SFE, a much more coordinated effort among many collaborators was made by agreeing on a set of model specifications (e.g., model version, grid spacing, domain size, and physics) so that the simulations contributed by each collaborator could be combined to form one large, carefully designed ensemble known as the Community Leveraged Unified Ensemble (CLUE). The 2016 CLUE was composed of 65 members contributed by five research institutions and represents an unprecedented effort to enable an evidence-driven decision process to help guide NOAA’s operational modeling efforts. Eight unique experiments were designed within the CLUE framework to examine issues directly relevant to the design of NOAA’s future operational CAM-based ensembles. This article will highlight the CLUE design and present results from one of the experiments examining the impact of single versus multicore CAM ensemble configurations

THE COMMUNITY LEVERAGED UNIFIED ENSEMBLE (CLUE) IN THE 2016 NOAA/HAZARDOUS WEATHER TESTBED SPRING FORECASTING EXPERIMENT

One primary goal of annual Spring Forecasting Experiments (SFEs), which are coorganized by NOAA’s National Severe Storms Laboratory and Storm Prediction Center and conducted in the National Oceanic and Atmospheric Administration’s (NOAA) Hazardous Weather Testbed, is documenting performance characteristics of experimental, convection-allowing modeling systems (CAMs). Since 2007, the number of CAMs (including CAM ensembles) examined in the SFEs has increased dramatically, peaking at six different CAM ensembles in 2015. Meanwhile, major advances have been made in creating, importing, processing, verifying, and developing tools for analyzing and visualizing these large and complex datasets. However, progress toward identifying optimal CAM ensemble configurations has been inhibited because the different CAM systems have been independently designed, making it difficult to attribute differences in performance characteristics. Thus, for the 2016 SFE, a much more coordinated effort among many collaborators was made by agreeing on a set of model specifications (e.g., model version, grid spacing, domain size, and physics) so that the simulations contributed by each collaborator could be combined to form one large, carefully designed ensemble known as the Community Leveraged Unified Ensemble (CLUE). The 2016 CLUE was composed of 65 members contributed by five research institutions and represents an unprecedented effort to enable an evidence-driven decision process to help guide NOAA’s operational modeling efforts. Eight unique experiments were designed within the CLUE framework to examine issues directly relevant to the design of NOAA’s future operational CAM-based ensembles. This article will highlight the CLUE design and present results from one of the experiments examining the impact of single versus multicore CAM ensemble configurations

Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans

Genome-wide association studies (GWAS) have identified numerous common prostate cancer (PrCa) susceptibility loci. We have fine-mapped 64 GWAS regions known at the conclusion of the iCOGS study using large-scale genotyping and imputation in 25 723 PrCa cases and 26 274 controls of European ancestry. We detected evidence for multiple independent signals at 16 regions, 12 of which contained additional newly identified significant associations. A single signal comprising a spectrum of correlated variation was observed at 39 regions; 35 of which are now described by a novel more significantly associated lead SNP, while the originally reported variant remained as the lead SNP only in 4 regions. We also confirmed two association signals in Europeans that had been previously reported only in East-Asian GWAS. Based on statistical evidence and linkage disequilibrium (LD) structure, we have curated and narrowed down the list of the most likely candidate causal variants for each region. Functional annotation using data from ENCODE filtered for PrCa cell lines and eQTL analysis demonstrated significant enrichment for overlap with bio-features within this set. By incorporating the novel risk variants identified here alongside the refined data for existing association signals, we estimate that these loci now explain ∼38.9% of the familial relative risk of PrCa, an 8.9% improvement over the previously reported GWAS tag SNPs. This suggests that a significant fraction of the heritability of PrCa may have been hidden during the discovery phase of GWAS, in particular due to the presence of multiple independent signals within the same regio