Fine mapping of 5 chronic pain types
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Fine mapping was run with CAUSALdb-finemapping-pip using clumped GWAS data of 5 chronic pain types: chronic neck, back, hip and knee pain and chronic headaches.The algorithm GDBSCAN only needs two parameters.It can discover clusters of any shape.But it is very sensitive to the parameter Eps.This paper puts forward a kind of method to make sure the Eps,which is based on datagrid.The method can achieve better result on the case of data distributing unevenly and shapes of clusters reaching each other.
DBSCAN
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We present a method to classify objects in video streams using a brain-inspired Hierarchical Temporal Memory (HTM) algorithm. Object classification is a challenging task where humans still significantly outperform machine learning algorithms due to their unique capabilities. We have implemented a system which achieves very promising performance in terms of recognition accuracy. Unfortunately, conducting more advanced experiments is very computationally demanding; some of the trials run on a standard CPU may take as long as several days for 960x540 video streams frames. Therefore we have decided to accelerate selected parts of the system using OpenCL. In particular, we seek to determine to what extent porting selected and computationally demanding parts of a core may speed up calculations. The classification accuracy of the system was examined through a series of experiments and the performance was given in terms of F1 score as a function of the number of columns, synapses, $min\_overlap$ and $winners\_set\_size$. The system achieves the highest F1 score of 0.95 and 0.91 for $min\_overlap=4$ and 256 synapses, respectively. We have also conduced a series of experiments with different hardware setups and measured CPU/GPU acceleration. The best kernel speed-up of 632x and 207x was reached for 256 synapses and 1024 columns. However, overall acceleration including transfer time was significantly lower and amounted to 6.5x and 3.2x for the same setup.
Porting
Kernel (algebra)
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The thesis introduce a solution of using DataGrid coned and ComboBox control to realize DataBase of querying
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This paper sets out to study the spatial distribution of international migrants in the City of Buenos Aires through a statistical and cartographic analysis based on the information collected by the 2010 National Population, Homes and Living Conditions Census. A socio-spatial analysis is carried out of the Census data, which are georeferenced using Geographic Information Systems (GIS). This work is done through thematic mapping and spatial distribution statistical index calculations. Thus, from a quantitative methodological perspective combining a macro-social (as it involves the whole city) and a micro-spatial (as it allows for the visualization of differences caused on an intra-urban level) scale, what is analyzed is how these groups’ urban presence, which results from various social and spatial trajectories, is evidenced in specific localization patterns within the urban territory
Georeference
Thematic map
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This paper analyzed the DataGrid Web Server Control. DataGrid is one of the most popular control of ASP .NET which is used to render data to a Web page in tabular form. This paper provides two types of typical usage of DataGrid.
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The leptospirosis, one of the most prevalent zoonosis in the world, is endemic in
Brazil. In urban areas it occurs, characteristically, after periods of high pluviosity with
flooding. The city of Rio de Janeiro presented, in 1996, one of the largest urban
epidemics, just after big storms that happened in February, with 1792 notified cases and
51 deaths. The aim of this dissertation is to describe the space-time pattern of
leptospirosis, and, at the same time, to evaluate a techniques for detection of clusters of
cases and delimitation of risk surfaces, contributing to develop methods for
environmental surveillance with a territorial approach.
In the first paper, an exploratory technique of spatial analysis was used, based on
the ratio between two layers, allowing the visualisation of the risk surface of the disease.
The interpolation method for the creation of the layers was a intensity Kernel of the
points representing the place of residence of the cases, in the numerator, and a Kernel of
the population of the census tracts in the denominator. Through this method it was
possible to delimit “hot” areas, and to compare them, visually, with the maps of the
demographic density, of slums and the polygons that delimit areas subject to floods.
Comparing the epidemic year (1996) with the other ones, it was noticed that the largest
incidence rates were not observed in supposed “higher risk” areas.
In the second paper we present a space-time analysis of leptospirosis cases in the
city of Rio de Janeiro, between 1995 and 1999, using a method for detection and
localisation of space-time clusters, based on a scan statistics, available in the software
SaTScan. Clusters were detected only in the epidemic year of 1996. The main cluster
was localised in Jacarepagua and the others were spread throughout the entire city,
expressing the intensity of the epidemic on this year. Differences in the profile of the
cases in the two moments – epidemic and endemic – were significant (qui-square test)
only for the variables severity of disease and gender. Endemic cases were more severe,
and the absolute number of women was significantly larger in the epidemic period.
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First, two methods to realize the bidirectional sorts including the ascendant sort order and the descendant sort order in the DataGrid through storing the sort expression and the sort direction by means of attributes and viewstate are summarized in order that the users browse and look up more conveniently; Second, the method to choose a row by click any cell in the DataGrid is given in order that the users could operate more conveniently; Third, the methods to update or delete the selected record row in the DataGrid from Web forms controls are given to ensure data validation.
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The nationally-recognized Susquehanna
Chorale will delight audiences of all
ages with a diverse mix of classic and
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performances have been described
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music making, successful in their
aim to make the audience feel,
to be moved, to be part of the
performance - and all this while
working at an extremely high
musical level.AÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂA¢AÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂA Experience choral
singing that will take you to new
heights!
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