879 resultados para Rank and file unionism


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Notes on how to get from Excel, Access and Textfiles into SPSS. Used in Research Skills for Biomedical Science

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This the coursework specification as a single file including assessment criteria which also appear on the ECS handin page. The collection of associated handouts and links along with the coursework specification can be found at http://www.edshare.soton.ac.uk/6041/

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Finding and replacing text in an MS Word 2010 document can save time when you need to make corrections to a word or phrase throughout your file. For best viewing Download the video.

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Seeing the underlying style of each paragraph can be useful when proofing the formatting of your file. This view shows how to see the Style Area Pane. For best viewing Download the video.

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The University provides a template for the whole of a thesis but if you wish to construct a thesis by using separate files you can use this file as template for those. This template has mirror margins to account for double sided printing and odd and even page headers. Support materials for using the template are referenced near the start of the file. You will weant to use this in conjunction with the Front Matter http://www.edshare.soton.ac.uk/9405/ and End Matter templates http://www.edshare.soton.ac.uk/11998/.

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The University provides a template for the whole of a thesis but if you wish to construct a thesis by using separate files you can use this file for the introductory section. This file contains all of the sections required (Title Page, Abstract, Table of Contents etc). It also has mirror margins for double sided printing and has different odd and even page headers. Support materials for using the template are referenced near the start of the file. You will want to use this in conjunction with the Chapter http://www.edshare.soton.ac.uk/9403/ and End Matter templates http://www.edshare.soton.ac.uk/11998/

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Finding and replacing text in a document can save time when you need to make corrections to a word throughout your file. For best viewing Download the video.

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The 'raw' design file available for remix, detournemnet, culture jamming and pal(y)giarism.

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This is a batch file written to help students on ECS' Programming 1 course (COMP1202) using iSolutions machines which have the JDK, but do not add it to the PATH variable, making compilation from the command line difficult. It attempts to find the JDK directory and add it to the Windows PATH. The code is as follows: @SET JAVA_HOME=C:\Program Files\Java @FOR /F %%G IN ('DIR /B "%JAVA_HOME%\JDK*"') DO @SET JDK_HOME=%JAVA_HOME%\%%G @SET PATH=%JDK_HOME%\bin;%PATH% @javac -version @echo. @echo %JDK_HOME%\bin successfully added to Windows PATH @echo. @echo Now type 'javac'. @echo. @echo. @echo. @CMD

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Wednesday 23rd April 2014 Speaker(s): Willi Hasselbring Organiser: Leslie Carr Time: 23/04/2014 14:00-15:00 Location: B32/3077 File size: 802Mb Abstract The internal behavior of large-scale software systems cannot be determined on the basis of static (e.g., source code) analysis alone. Kieker provides complementary dynamic analysis capabilities, i.e., monitoring/profiling and analyzing a software system's runtime behavior. Application Performance Monitoring is concerned with continuously observing a software system's performance-specific runtime behavior, including analyses like assessing service level compliance or detecting and diagnosing performance problems. Architecture Discovery is concerned with extracting architectural information from an existing software system, including both structural and behavioral aspects like identifying architectural entities (e.g., components and classes) and their interactions (e.g., local or remote procedure calls). In addition to the Architecture Discovery of Java systems, Kieker supports Architecture Discovery for other platforms, including legacy systems, for instance, inplemented in C#, C++, Visual Basic 6, COBOL or Perl. Thanks to Kieker's extensible architecture it is easy to implement and use custom extensions and plugins. Kieker was designed for continuous monitoring in production systems inducing only a very low overhead, which has been evaluated in extensive benchmark experiments. Please, refer to http://kieker-monitoring.net/ for more information.

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Wednesday 26th March 2014 Speaker(s): Dr Trung Dong Huynh Organiser: Dr Tim Chown Time: 26/03/2014 11:00-11:50 Location: B32/3077 File size: 349Mb Abstract Understanding the dynamics of a crowdsourcing application and controlling the quality of the data it generates is challenging, partly due to the lack of tools to do so. Provenance is a domain-independent means to represent what happened in an application, which can help verify data and infer their quality. It can also reveal the processes that led to a data item and the interactions of contributors with it. Provenance patterns can manifest real-world phenomena such as a significant interest in a piece of content, providing an indication of its quality, or even issues such as undesirable interactions within a group of contributors. In this talk, I will present an application-independent methodology for analysing provenance graphs, constructed from provenance records, to learn about such patterns and to use them for assessing some key properties of crowdsourced data, such as their quality, in an automated manner. I will also talk about CollabMap (www.collabmap.org), an online crowdsourcing mapping application, and show how we applied the approach above to the trust classification of data generated by the crowd, achieving an accuracy over 95%.

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Objective. This study was performed to determine the prevalence of and associated risk factors for cardiovascular disease (CVD) in Latin American (LA) patients with systemic lupus erythematosus (SLE). Methods. First, a cross-sectional analytical study was conducted in 310 Colombian patients with SLE in whom CVD was assessed. Associated factors were examined by multivariate regression analyses. Second, a systematic review of the literature on CVD in SLE in LA was performed. Results. There were 133 (36.5%) Colombian SLE patients with CVD. Dyslipidemia, smoking, coffee consumption, and pleural effusion were positively associated with CVD. An independent effect of coffee consumption and cigarette on CVD was found regardless of gender and duration of disease. In the systematic review, 60 articles fulfilling the eligibility criteria were included. A wide range of CVD prevalence was found (4%–79.5%). Several studies reported ancestry, genetic factors, and polyautoimmunity as novel risk factors for such a condition.Conclusions. A high rate of CVD is observed in LA patients with SLE. Awareness of the observed risk factors should encourage preventive population strategies for CVD in patients with SLE aimed at facilitating the suppression of cigarette smoking and coffee consumption as well as at the tight control of dyslipidemia and other modifiable risk factors.

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Senescence is a normal biological process that occurs in all organisms and involves a decline in cell functions. This process is caused by molecular regulatory machinery alterations, and it is closely related to telomere erosion in chromosomes. In the context of the immune system, this phenomenon is known as immunosenescence and refers to the immune function deregulation. Therefore, functions of several cells involved in the innate and adaptive immune responses are severely compromised with age progression (e.g., changes in lymphocyte subsets, decreased proliferative responses, chronic inflammatory states, etc.). These alterations make elderly individuals prone to not only infectious diseases but also to malignancy and autoimmunity. This review will explore the molecular aspects of processes related to cell aging, their importance in the context of the immune system, and their participation in elderly SLE patients