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Pageable Description: The org.codehaus.groovy.grails.validation package contains interfaces for the validation DSL. * ValidationInterfaceDefinition A ValidationInterfaceDefintion may be stored in a.gsp file and used at runtime to validate a Groovy script. * org.codehaus.groovy.grails.validation.ValidationDescriptors A ValidationDescriptors is the interface that contains details about the validation. * org.codehaus.groovy.grails.validation.Properties A Properties is the base implementation of the ValidationDescriptor interface. It can be extended and augmented to provide additional functionality. * org.codehaus.groovy.grails.validation.ValidationApi A ValidationApi is the interface containing all of the methods that can be invoked to execute validation. * org.codehaus.groovy.grails.validation.ValidationHelper A ValidationHelper is a class that can be used to execute the validation.SLIMMER: Presenter Sarah Richards says overweight people often have larger stomachs than skinny people. NEW research shows that, on average, overweight people have larger stomachs. A research study conducted by University College London in the UK compared the stomachs of men and women and determined that, on average, overweight people have a larger stomach than people of normal weight. The research involved studying hundreds of people who had been taking part in a weight-management program that had been tracking their weight over several years. "Our research suggests that we have a tendency to be more efficient at processing food in the stomach of overweight people, compared with slim people," said Dr Sherrah Sahakian, the lead researcher on the study. "We think this might explain why they have bigger stomachs," she said. The study included measuring the size and shape of each person's stomach, and also testing participants' blood and urine. GETL 12.1.5269 + Unified Library for all Groovy processing + Provides a common interface for all tasks + Provides a pluggable architecture for applications + Has a rich set of data structures + Easy to set-up and use + Full source code is licensed under a GNU-LGPL v3 license + Written in Java and Groovy SciJava: SciJava is an innovative content management system that allows members of a scientific community to communicate, collaborate and share both the published work and the tools they use in the analysis of data. The system provides an overview of what has been published in a given area of research, to facilitate scientific progress. SciJava aims to bring together in one repository all publications from a research community (for example, all papers regarding the measurement of the star-formation rates), together with the tools and the data used to perform the analysis, such that a researcher can use a transparent tool to compare data from different sources or different sample populations, and to identify the most suitable method to analyze a given data set. SciJava is developed by Jutta Steiner, who is joined by a staff of young developers from several European universities. SciJava is a well-known open-source project, but in 2012, it has adopted the support of the Open Source Initiative. Hadoop MapReduce This is a very useful library for you to work on the big data. It is a framework of building applications upon a distributed file system MapReduce. Hadoop is an open source project. It is developed by Apache, Berkeley, and Yahoo. This is a framework for building big data applications. 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To check the current user-agent of the browser, you may use the properties from System.Web.HttpRequest in the same way you would use the properties of any object in C#, like this: // C# string userAgent = System.Web.HttpRequest.UserAgent; // VB string userAgent = System.Web.HttpRequest.UserAgent Comparison of automated and manual microscopic counting of erythroid precursors in the bone marrow: a case study on thalassemia. This study was conducted to determine the reliability of manual counting of erythroid precursors in the bone marrow and to compare it with the current automated counting method routinely used in our laboratory. This is a cross-sectional study conducted on bone marrow aspirates from patients with thalassemia. The manual method of erythroid precursors counting was performed by two laboratory scientists (the gold standard) while the automated method was performed by a dedicated software using an automated cell sorter. 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