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Published 07.03.2014 | Author : admin | Category : What Men Secretly Want Guide

OpenOffice es el paquete ofimatico multiplataforma y multilingue de codigo abierto para procesamiento de textos. Las ultimas versiones incluyen nuevas caracteristicas tales como, capacidades avanzadas de XML y soporte nativo para el formato OASIS Standard OpenDocument.
Para la comodidad del usuario se han anadido diferente formas de visualizar los documentos: normal, diapositivas y vista multiple.
Integra animacion de diapositivas y efectos que hara que sus diapositivas sean mas atractivas. Rich Text Format (RTF) is a specification used by common word processing applications, such as Microsoft Word. XML Publisher's RTF Template Parser converts documents saved as the RTF file type to XSL-FO. During design time, you add data fields and other markup to your template using XML Publisher's simplified tags for XSL expressions.
In addition to your word processing application's formatting features, XML Publisher supports other advanced reporting features such as conditional formatting, dynamic data columns, running totals, and charts. If you wish to include code directly in your template, you can include any XSL element, many FO elements, and a set of SQL expressions extended by XML Publisher. Use any word processing application that supports RTF version 1.6 writer (or later) to design a template using XML Publisher's simplified syntax. Using Microsoft Word's form field feature allows you to place the syntax in hidden form fields, rather than directly into the design of your template. When you design your template layout, you must understand how to associate the XML input file to the layout. The Template Builder is an extension to Microsoft Word that simplifies the development of RTF templates. For example, all the fields on the template will repeat for each Supplier that is reported.
Note: To simplify the example, the XML output shown below has been modified from the actual output from the Payables report. Your template content and layout must correspond to the content and hierarchy of the input XML file. Note: XML Publisher supports regrouping of data if your report requires grouping that does not follow the hierarchy of your incoming XML data. For example, the "Supplier" field from the sample report layout corresponds to the XML element VENDOR_NAME.
By defining a group, you are notifying XML Publisher that for each occurrence of an element (parent), you want the included fields (children) displayed. For additional information on inserting headers and footers, see Defining Headers and Footers. For a detailed list of supported formatting features in Microsoft Word, see Supported Native Formatting Features. XML Publisher converts the formatting that you apply in your word processing application to XSL-FO.
The most basic markup elements are placeholders, to define the XML data elements; and groups, to define the repeating elements. Form Field Method: (Requires Microsoft Word) Insert the placeholder syntax in Microsoft Word's Text Form Field Options window. The following figure shows the Text Form Field Options dialog box and the Form Field Help Text dialog box with the appropriate entries for the Supplier field. Tip: For longer strings of XML Publisher syntax, use the Help Key (F1) tab instead of the Status Bar tab. The figure below shows the Supplier field from the template with the added form field markup. The following figure shows the Payables Invoice Register with the completed form field placeholder markup. See the Payables Invoice Register with Completed Basic RTF Markup for the completed basic RTF markup. By defining a group, you are notifying XML Publisher that for each occurrence of an element, you want the included fields displayed. To designate a group of repeating fields, insert the grouping tags around the elements to repeat. Note that the group element must be a parent of the repeating elements in the XML input file.
If you insert the grouping tags around text or formatting elements, the text and formatting elements between the group tags will be repeated.
If you insert the tags around text in a table cell, the text in the table cell between the tags will be repeated. If you insert the tags around two different table cells, but in the same table row, the single row will be repeated. If you insert the tags around two different table rows, the rows between the tags will be repeated (this does not include the row that contains the "end group" tag). Enter the tags in your document to define the beginning and end of the repeating element group. To create the Suppliers group in the example, insert a form field before the Suppliers field that you previously created. For the example, enter the Default text "Group: Suppliers" to designate the beginning of the group on the template. For the example, enter the Default text "End: Suppliers" after the summary row to designate the end of the group on the template. The following figure shows the template after the markup to designate the Suppliers group was added.
Insert the end tag inside the final table cell of the row after the Accounted Amt placeholder. At the time of this writing, Microsoft Word does not support form fields in the header and footer. If your template requires multiple headers and footers, create them by using XML Publisher tags to define the body area of your report.
If your report requires a different header and footer on the first page of your report; or, if your report requires different headers and footers for odd and even pages, you can define this behavior using Microsoft Word's Page Setup dialog. XML Publisher leverages the graph capabilities of Oracle Business Intelligence Beans (BI Beans) to enable you to define charts and graphs in your RTF templates that will be populated with data at runtime. At runtime XML Publisher calls the BI Beans applications to render the image that is then inserted into the final output document. The first step is to add a dummy image to the template in the position you want the chart to appear. Important: You must insert the dummy image as a "Picture" and not any other kind of object. The image can be embedded inside a for-each loop like any other form field if you want the chart to be repeated in the output based on the repeating data. The content of the Alternative text represents the chart that will be rendered in the final document. The first element of your chart text must be the chart: element to inform the RTF parser that the following code describes a chart object.
All of these values can be declared or you can substitute values from the XML data at runtime.
The column labels for this example are derived from the data: Groceries, Toys, Cars, and so on. Similar to the labels section, the code loops through the data to build the XML that is passed to the BI Beans rendering engine.
The following example shows total sales and cost of sales charted in a horizontal bar format. There are many attributes available from the BI Beans graph DTD that you can manipulate to change the look and feel of your chart. Use the freehand drawing tool in Microsoft Word to create drawings in your template to be rendered in the final PDF output. You can layer shapes on top of each other and use the transparency setting in Microsoft Word to allows shapes on lower layers to show through. Use the organization chart functionality in your templates and the chart will be rendered in the output.
Note: Some Microsoft WordArt uses a bitmap operation that currently cannot be converted to SVG.
In addition to supporting the static shapes and features in your templates, XML Publisher supports the manipulation of shapes based on incoming data or parameters, as well.
These manipulations not only apply to single shapes, but you can use the group feature in Microsoft Word to combine shapes together and manipulate them as a group. You can replicate a shape based on incoming XML data in the same way you replicate data elements in a for-each loop.
You can add text to a shape dynamically either from the incoming XML data or from a parameter value.
You can change the size of a shape using the appropriate commands either along a single axis or both axes. Changing only the x or y value has the effect of stretching or shrinking the shape along an axis.
You can also combine these commands to carry out multiple transformations on a shape at one time.
This example demonstrates how to set up a template that will generate a star-rating based on data from an incoming XML file.
This example shows how to combine shapes into a group and have them react to the incoming data both individually and as a group. You can create a visual representation of this data so that users can very quickly understand the sales data across all regions. The shape-size command is used to stretch or shrink the cylinder based on the values of the elements SOFTWARE, HARDWARE, and SERVICES.
To make an even more visually representative report, these shapes can be superimposed onto a world map. Microsoft Word 2000 Users: After you add the background map and overlay the shape group, use the Grouping dialog to make the entire composition one group. In addition to the features already listed, XML Publisher supports the following features of Microsoft Word. To insert a page break, insert a Ctrl-Enter keystroke just before the closing tag of a group. Using this Microsoft Word native feature will cause a single blank page to print at the end of your report output.
Insert page numbers into your final report by using the page numbering methods of your word processing application.
You can align any object in your template using your word processing application's alignment tools. If your data is displayed in a table, and you expect the table to extend across multiple pages, you can define the header rows that you want to repeat at the start of each page. If you want to ensure that data within a row of a table is kept together on a page, you can set this as an option using Microsoft Word's Table Properties. By default, if the text within a table cell will not fit within the cell, the text will be wrapped. XML Publisher supports Microsoft Word's Columns function to enable you to publish your output in multiple columns on a page.
Select Format > Columns to display the Columns dialog box to define the number of columns for your template. Tip: To prevent the address block from breaking across pages or columns, embed the label block inside a single-celled table. Text Watermark - use the predefined text options or enter your own, then specify the font, size and how the text should be rendered. To create a page break after the occurrence of a specific element use the "split-by-page-break" alias. Your initial page number will be the value of the PAGESTART element, which in this case is 200.
If you define a parameter called PAGESTART, you can pass the initial value by calling the parameter. XML Publisher supports the Microsoft Word functionality to specify a different page layout for the first page, odd pages, and even pages. Create a section break in your template to ensure the content of the final page is separated from the rest of the report. Any content on the page that occurs above or below these two tags will appear only on the last page of the report. This example uses the last page only feature for a report that generates an invoice listing with a summary to appear at the bottom of the last page. The report should show each VENDOR and their INVOICE data with a SUMMARY section that appears only on the last page, placed at the bottom of the page. If your reports contains headers and footers that you want to carry over onto the last page, you must reinsert them on the last page. You must insert a section break (type: next page) into the document to specify the last page layout.
It is important to note that if the report is only one page in length, the first page layout will be used.
Substituting this syntax will result in the last page layout for reports that are only one page long. The following screenshot shows the insertion of a static hyperlink using Microsoft Word's Insert Hyperlink dialog box. If your input XML data includes an element that contains a hyperlink or part of one, you can create dynamic hyperlinks at runtime. The following figure shows the insertion of a dynamic hyperlink using Microsoft Word's Insert Hyperlink dialog box. Select the text or shape in your document that you want to link back to the Bookmark target. XML Publisher also provides the ability to create dynamic section headings in your document from the XML data. Enter a placeholder for the heading in the body of the document, and format it as a "Heading", using your word processing application's style feature.
Create a table of contents using your word processing application's table of contents feature. If you have defined a table of contents in your RTF template, you can use your table of contents definition to generate links in the Bookmarks tab in the navigation pane of your output PDF.
You can include a check box in your template that you can define to display as checked or unchecked based on a value from the incoming data. Position the cursor in your template where you want the check box to display, and select the Check Box Form Field from the Forms tool bar (shown in the following figure).
XML Publisher allows you to use the drop-down form field to create a cross-reference in your template from your XML data to some other value that you define in the drop-down form field.
Position the cursor in your template where you want the value from the drop-down list to display, and select the Drop-Down Form Field from the Forms tool bar (shown in the following figure).
Add each value to the Drop-down item field and the click Add to add it to the Items in drop-down list group.
Now use the Help Text box to enter the XML element name that will hold the index for the drop-down field values. Using the check box and drop-down list features, you can create a report to display population data with check boxes to demonstrate figures that reach a certain limit.
Conditional formatting occurs when a formatting element appears only when a certain condition is met. The conditional formatting that you specify can be XSL or XSL:FO code, or you can specify actual RTF objects such as a table or data. Use an if statement to define a simple condition; for example, if a data field is a specific value. To achieve this requirement, you must use the XML Publisher context command to place the if statement into the inline sequence rather than into the block (the default placement). In 1955, Isaac Asimov published a short story titled "Franchise", about a system that decides who should be elected president (in 2008) by picking a single voter to represent the whole population. If a single voter is regularly selected at random then, over time, a larger, more representative sample of the population will build up.
Distributed systems say "after a certain amount of time, enough votes will have been cast to be sure enough of a consensus".
Each voter must be selected at random, but if this selection is performed by a central machine, that machine must be trusted. The system will, generally, consume energy up to the value of the reward for casting each vote.

To save energy, votes can instead be given to those who have purchased the most shares (stake) in the system (i.e.
Another alternative, valid for small populations, is to collect the sample in a single poll: invite all members to participate, and generate the consensus after a certain amount of time has passed.
I didn’t know Aaron, personally, but I’d been reading his blog as he wrote it for 10 years. Philip Greenspun, founder of ArsDigita, had written extensively about the school system, and Aaron felt similarly, documenting his frustrations with school, leaving formal education and teaching himself. In 2000, Aaron entered the competition for the ArsDigita Prize and won, with his entry The Info Network — a public-editable database of information about topics.
Aaron’s friends and family added information on their specialist subjects to the wiki, but Aaron knew that a centralised resource could lead to censorship (he created zpedia, for alternative views that would not survive on Wikipedia). In order to pull information in from other people’s databases, you needed a standard way of subscribing to a source, and a standard way of representing information. RSS feeds (with Aaron’s help) became a standard for subscribing to information, and RDF (with Aaron’s help) became a standard for describing objects.
I find — and have noticed others saying the same — that to thoroughly understand a topic requires access to the whole range of items that can be part of that topic — to see their commonalities, variances and range. He found that it was difficult to make political change when politicians were highly funded by interested parties, so he tried to do something about that. To return to information, though: having a single page for every resource allows you to make statements about those resources, referring to each resource by its URL. Aaron had read Tim Berners-Lee’s Weaving The Web, and said that Tim was the only other person who understood that, by themselves, the nodes and edges of a “semantic web” had no meaning. To be able to understand this information, a reader would need to know which information was correct and reliable (using a trust network?).
He wanted people to be able to understand scientific research, and to base their decisions on reliable information, so he founded Science That Matters to report on scientific findings.
He had the same motivations as many LessWrong participants: a) trying to do as little harm as possible, and b) ensuring that information is available, correct, and in the right hands, for the sake of a “good AI”. As Alan Turing said (even though Aaron spotted that the “Turing test” is a red herring), machines can think, and machines will think based on the information they’re given. As much as individual, composable objects are interesting, the real understanding comes when a collection of items is analysed as a whole (or a part, if filtered).
There’s more to a collection of items than is immediately obvious - it’s not just a [1, 2, 3] list, with "array" methods for filtering and iteration: the Collection itself is an object with its own set of observable properties - many of which are summaries, in some way, of the properties in the items in the collection. These summaries describe some aggregate quality of the collection, and - ideally - an indication of the variance, or confidence intervals, for that value within the collection. If you look around, you’ll see trees with different coloured leaves, depending on their genotype and phenotype. So: observed properties of a collection can vary over time, or over space, depending on the conditions in which they’re found and the conditions of observation. The observed colour of a tree - or a collection of trees - is a function with many inputs and one output: the wavelength(s) of light that leave the tree and enter your eye (or some other detector). For any collection of items, a function can be written that describes one of their properties under certain conditions. For example, the value(s) that this function outputs might be the mean (average) and standard deviation of a series of measurements over time, or it may group those values into buckets (the sort of data that might be displayed as a bar chart). If you’re working with JSON or HTML (which is probably the case), these interface names make no sense. As is apparently the way with all DOM APIs, XMLHttpRequest wasn’t designed to be used directly. When an action (get, put, delete) is performed on a Resource, a Request is made to the URL of the resource.
Instead of sending hundreds of requests to the same domain at once, send them one at a time: each Request is added to a per-domain Queue. Google Plus was formed around one observation: most of the people on the web don't have URLs. For example, to show you which restaurants people you trust* have recommended in an area you’re visiting, a recommendation system needs to have a latitude + longitude for the area, a URL for each restaurant (solved by Google Places) and a URL for each person (solved, ostensibly, by Google Plus).
People might be leaving reviews in TripAdvisor, or Yelp, and there’s no obvious way to tie all those people together into any kind of coherent social graph. Google Plus has an extremely clever way of linking together all those accounts, which involves starting with one trusted URL (Google Plus account), linking to another URL (GitHub, say), then linking back from that URL to your Google Plus account to prove that you own the GitHub account and can write to it. The problem is (and the question “why” is an interesting one), even after people had their Google Plus account, they didn’t use it to post reviews. When Google tried to connect YouTube accounts to Google Plus accounts, and failed, it was because people felt that those personas were distinct, and wanted the freedom to do certain things on YouTube without having it show up on their “personal record” in Google Plus. This also perhaps explains why people are wary of using Google Plus authentication to sign in to an untrusted site - they’re not so much worried about Google knowing where their accounts are, but also that the untrusted site might create a public profile for them without asking, and link it to their Google Plus profile. Anyway, Google Plus is going away as a social network, and maybe even as a public profile, but the data’s still going to be connected together behind the scenes - perhaps using fuzzier, less explicit connections as a basis for recommendations and decision-making. You might notice that the published property is represented as a String, when it would be easier to use as a Date object. From this definition, you can see that the publishedDate property has a dependency on the published property: any computed properties should be updated when any of its dependencies are updated. This is fine when the dependencies are all stored locally, but it’s also possible to imagine data that’s stored elsewhere. The Resource object used above is a Web Resource, part of a library I built to make it easier to fetch and parse remote resources. In either of those cases, the data is being fetched asynchronously, and a Promise is returned. I talked about this kind of thing at XTech in 2008, illustrating the object as a Katamari Damacy-style of “ball of stuff”, being passed around various different services and accumulating properties as it goes.
Talis’ data platform had a similar feature, where results from a SPARQL query could be augmented by passing each result through another data store, matching on identifiers and adding selected properties each time. The SERVICE feature of Wikidata’s SPARQL endpoint is also similar: it takes an object in each result and passes it to a specific service, assigning the resulting data to a specified property. In OpenRefine, remote data can be fetched from web services and added to each item in the background. The web is no longer a desktop publishing platform, it’s most often a networked medium for machine-machine communication. All the old “features” that came part and parcel with printed documents are relics of an age where information was fixed in stone (well, wood pulp).
Emscripten comes with its own SDK, which bundles the specific versions of clang and node that it needs. I’ve made a fork of xml.js which a) allows all the command-line arguments to be specified, so can be used for validating against a DTD rather than an XML schema, and b) allows a list of files to be specified, which are imported into the pseudo-filespace so that xmllint can access them. For third-party libraries, you can either download production-ready code manually to a lib folder and include them, or install with Bower to a bower_components folder and include them directly from there. The benefit of this approach is that you can edit the source files through GitHub’s web interface, and the site will update without needing to do any local building or deployment. Keep the config files in the root folder, but move the app’s source files into an app folder. Use Gulp to build the Bower-managed third-party libraries alongside the app’s own styles and scripts. While keeping the source files in the master branch, use Gulp to deploy the built app in a separate gh-pages branch. The actual app source files (index.html, app styles, app-specific elements) are in the app folder. Earlier this week I attended a “Big Data Investigation Workshop” run by British Library Labs as part of the International Digital Curation Conference.
The workshop was an introduction to working with tools for cleaning, analysing and visualising collections of data: OpenRefine (which is great but showing its age), Tableau (which is ridiculously impressive) and Gephi (which has fast graph layout but lacks usability). As the workshop was co-organised by the Internation Crime Fiction Research Group, the theme of the data was “Crime Fiction”.
Although the news story didn’t link to any source data, it almost certainly came from the Electoral Commision’s register of donations to political parties.
Running a basic search of the Electoral Commision’s register, with no filters, produced a CSV file containing all registered donations since 2001, which we then loaded into Tableau Public (Tableau’s limited, free desktop application for data visualisation).
The first visualisation was a simple bar chart of the total donations to each party, including only “political party” recipients, coloured according to the type of donation.
The next visualisation was a summary of the donations from the individuals named in the news story. Getting Tableau to recognise UK postcodes is a bit tricky, as it doesn’t recognise the full postcode - we had to write a function to separate out only the first part of the postcode. I’d been making graphs of Spotify’s “Related Artists” network, but was finding that pieces of the graph often remained disconnected. To connect these disparate parts of the network, I queried for the top tags that had been attached to each artist, and added those to the graph. This brought the network together nicely, so I applied it to a larger data set: all the unique artists that had ever been played on a particular BBC 6 Music radio show. The full graph of artists and their tags was interesting, but to get a clearer overview of the show’s musical themes, the artist nodes were hidden after the graph had been laid out (using Gephi's "Force Layout 2" algorithm). This left just the tags, laid out in two dimensions, where the most similar tags are closest together and the most frequently used are largest.
As some of the labels were overlapping, I used Gephi’s "Label Adjust" layout algorithm to shift their positions enough that most of the overlapping was avoided.
One problem was that when several artists shared the same name, irrelevant tags would be attached to an artist. In a sense, the artists are the “dark matter” of the graph: they pull the tags together and organise their macroscopic structure, but remain invisible in the final, visible map. It may be that a highly-concentrated cluster of artists (as well as one or two very loosely-connected artists) pushed some tags further apart than they deserved to be. Process those two CSV files into a list of pairs of connected identifiers suitable for import into Gephi.
Switch to the Preview window and adjust the colour and opacity of the edges and labels appropriately.
It would probably be possible to automate this whole sequence - perhaps in a Jupyter Notebook. Among CartoDB’s many useful features is the ability to merge tables together, via an interface which lets you choose which column from each to use as the shared key, and which columns to import to the final merged table.
CartoDB can also merge tables using location columns, counting items from one table (with latitude and longitude, or addresses) that are positioned within the areas defined in another table (with polygons). I've found that UK parliamentary constituencies are useful for visualising data, as they have a similar population number in each constituency and they have at least two identifiers in published ontologies which can be used to merge data from other sources*. Once the parliamentary constituency shapefile has been imported to a base table, any CSV table that contains either of those identifiers can easily be merged with the base table to create a new, merged table and associated visualisation.
So, the task is to find other data sets that contain either the OS “unit id” or the ONS “GSS code”. Given an index of CSV files, like those in CKAN-based stores such as, how can we identify those which contain either unit IDs or GSS codes? As Thomas Levine's commasearch project demonstrated at csvconf last year, if you have a list of all (or even just some) of the known members of a collection of typed entities (e.g. In a General Election, the residents of each UK parliamentary constituency elect one Member of Parliament to represent them in the House of Commons. Each party can nominate a maximum of one candidate per constituency, often chosen from a shortlist of potential candidates in a selection contest. Candidates who wish to stand for election must submit their nomination papers within one week after the notice of election has been published (i.e. However, candidates usually start their campaigning several months earlier, and their intention to stand for election will often be announced in a local newspaper. AndyJS’ spreadsheet and a derived list of candidates by constituency, via the Vote UK Forum. Dods People, a commercial monitoring service, used as the data source for the MHP General Election Campaign Outlook (GECO).
As well as prospective parliamentary candidates, some MPs will be contesting their seats again, and some will be standing down. Every 5 years, the Boundary Commissions for England, Scotland, Wales and Northern Ireland review the UK parliamentary constituency boundaries.
The last completed Boundary Review recommended 650 constituencies, and took effect at the General Election in 2010. The Office for National Statistics (ONS) has produced a guide to parliamentary constituencies and a map of the current constituencies. The Office for National Statistics publishes a CSV file listing the names and codes for each parliamentary constituency (650 in total), under the Open Government License. The parliamentary constituencies of England are named in The Parliamentary Constituencies (England) Order 2007. The Ordnance Survey produces the Boundary-Line data, which includes an ESRI Shapefile for the boundary of each parliamentary constituency. The Ordnance Survey’s administrative geography and civil voting area ontology includes a “hasUnitID” property, which provides a unique ID for each region, and a “GSS” property that is the ONS’ code for each region.
The Boundary-Line Shapefile includes the Unit ID (OS) and GSS (ONS) code for each constituency, so they can easily be used to merge the boundary polygons with other data sources in CartoDB. If using CartoDB’s free plan, it is necessary to use a version of the Boundary-Line Shapefile with simplified polygons, to reduce the size of the data. Following the next Boundary Review, the number of constituencies will be reduced from 650 to 600 by the Parliamentary Voting System and Constituencies Act, introduced by the current coalition government. Via Nautilus’ excellent Three Sentence Science, I was interested to read Nature’s list of “10 scientists who mattered this year”.
One of them, Sjors Scheres, has written software - RELION - that creates three-dimensional images of protein structures from cryo-electron microscopy images. I was interested in finding out more about this software: how it had been created, and how the developer(s) had been able to make such a significant improvement in protein imaging. I was hoping for a link to GitHub, but at least the source code is available (though the “for free” is worrying, signifying that the default is “not for free”).
On the RELION Wiki, the introduction states that RELION “is developed in the group of Sjors Scheres” (slightly problematic, as this implies that outsiders are excluded, and that development of the software is not an open process). The file is downloaded over HTTP, with no hash provided that would allow verification of the authenticity or correctness of the downloaded file. There’s an AUTHORS file, but it doesn’t really list the contributors in a way that would be useful for citation. Original disclaimers in the code of these external packages have been maintained as much as possible. The source code for RELION should be in a public version control system such as GitHub, with tagged releases. The CHANGELOG should be maintained, so that users can see what has changed between releases.
There should be a CITATION file that includes full details of the authors who contributed to (and should be credited for) development of the software, the name and current version of the software, and any other appropriate citation details. Each public release of the software should be archived in a repository such as figshare, and assigned a DOI. There should be a way for users to submit visible reports of any issues that are found with the software. The parts of the software derived from third-party code should be clearly identified, and removed if their license is not compatible with the GPL. For more discussion of what is needed to publish citable, re-usable scientific software, see the issues list of Mozilla Science Lab's "Code as a Research Object" project. I used a PHP client to connect to Twitter’s streaming API as I was interested in seeing how it handled the connection (the client needs to watch the connection and reconnect if no data is received in a certain time frame).
The streaming API uses OAuth 1.0 for authentication, so you have to register a Twitter application to get an OAuth consumer key and secret, then generate another access token and secret for your account. The dat server that was started earlier with dat listen is listening on port 6461 for clients, and is able to emit each incoming tweet as a Server-Sent Event, which can then be consumed in JavaScript using the EventSource API. Big companies (Google, IBM, Wolfram) are positioning themselves to be the repository where sensors store their data. Other companies are building platforms for applications to make use of that data in real-time.
There’s a piece missing: it should be possible to query those data stores to build up a snapshot of information, then document and publish the collection of data (and the harvesting process) for others to read and explore. Firstly, seed-harvester imports an initial collection of items (which may be as simple as a list of identifiers or URLs) from CSV, JSON, or a JavaScript function that fetches the initial data set.
Secondly, leaf-builder provides an interface for adding leaves (properties; computed or otherwise) to each item of the data set.

Thirdly, vege-table itself extends HTML tables to present the collection of items, generating a row for each item and a column for each leaf.
Once all the leaves have been added, the data collection can be published by exporting the table description and data files, placing them in the same folder as the main index.html file, and switching off the database.
In one day, two separate authors demonstrated that they’ve solved the problem of “how to publish your research on the web”. Dominic Tarr analysed the performance of different JavaScript cryptographic libraries, and Jure Triglav collected tweets mentioning sunny weather and correlated them to actual weather reports.
The reports are online for anyone to read, and the code and data are in version-controlled repositories, with instructions for anyone to reproduce them. The README file describes the purpose of the project, the dependencies, what was tested, how to reproduce the experiments, and what license the project is released under. The process for generating the data (a Bash script that calls node commands) is present, and its usage is documented in the human-readable README.
All the machine-readable metadata needed for the project, including the list of dependencies, is present in package.json.
The results are written up as a paper in Markdown (including figure images directly from the output folder). The data is continuously updated in the background, and the figures and text are updated in real time. Note that neither of the reports have “references” sections at the end, for the simple reason that they don’t need to: if they need to refer to anything, they just need to link to it in the (hyper)text. The Microdata DOM API allows JavaScript programs to read and write data embedded in HTML as Microdata. As specified by the W3C Working Group, document.getItems(itemtype) returns a collection of all the elements with an itemscope attribute in the current document that have the given itemtype attribute. Each itemscope element has a properties object that provides access to all of the element's itemprop descendants (either contained directly or referenced elsewhere in the document using the itemref attribute). These methods and properties allow the program to access all the Microdata nodes and values in the document. The HTML is very simple: a single container for the whole card, with two sections inside - one for the front and one for the back.
If you can't tell why a technology would be useful to you, it's not for people, it's for the robots. Google Glass provides machines with vision and access to a network of institutional knowledge.
Bitcoin allows machine-machine transactions to be processed without needing any evaluation of trust. Stephanie Haustein and colleagues recently described the lack of correlation between tweets about an article (using Altmetric data from July 2011 - December 2012) and formal citations of the article. I decided to look at the data for smaller sets of articles, published in specific journals.
Import a CSV file, with columns "doi" and "citations", to a new project named "citations_scopus". Es utilizado por innumerables personas, gobiernos y administraciones publicas de todo el mundo.
OpenOffice posee numerosas herramientas funcionales y sencillas que son muy utiles no solo para tareas en la oficina sino tambien en la vida cotidiana. You can therefore create report designs using many of your standard word processing application's design features and XML Publisher will recognize and maintain the design.
Instructions and tutorials for using the Template Builder are available from the readme and help files delivered with the tool. See the patch readme and help files for user documentation and desktop system requirements. At runtime, XML Publisher will loop through the occurrences of the element and display the fields each time. You add markup to create the mapping between your layout and the XML file and to include features that cannot be represented directly in your format. And, for each occurrence of G_INVOICE_NUM (Invoices group), we want the template to display Invoice Number, Invoice Date, GL Date, Currency, Entered Amount, and Accounted Amount. Placing the grouping tags at the beginning and end of the table row will repeat only the row.
XML Publisher supports all the graph types and component attributes available from the BI Beans graph DTD. In this example, the chart is defined within the sales year group so that a chart will be generated for each year of data present in the XML file. Use the Alternative text entry box to enter the code to define the chart characteristics and data definition for the chart. Also note the DataValues section defines two sets of data: one for Total Sales and one for Cost of Sales.
You can add these objects to your template and they will be rendered in your final PDF output.
Curved connectors can be achieved by using a curved line and specifying the end styles to the line. The XSL position command returns the record counter in the group (that is 1,2,3,4); one is subtracted from that number and the result is multiplied by 100. If the angle is positive, the rotation is clockwise; if negative, the rotation is counterclockwise. For example, you can replicate a shape and for each replication, rotate it by some angle and change the size at the same time. Using this data element and the shape manipulation commands, we can create a visual representation of the ratings so that the reader can compare them at a glance. Do this by first creating the composite shape in Microsoft Word that you wish to manipulate. The shape-offset command moves the next shape in the loop to the right by a specific number of pixels.
You can specify a single, graduated color or an image background for your template to be displayed in the PDF output.
This will cause the report output to insert a hard page break between every instance of a specific element. To implement these options, simply select Page Setup from the File menu, then select the Layout tab. This is useful for documents such as checks, invoices, or purchase orders on which you may want the content such as the check or the summary in a specific place only on the last page. Also, note that because this command explicitly specifies the content of the final page, any desired headers or footers previously defined for the report must be reinserted on the last page. For the final page, insert new line characters to position the summary table at the bottom of the page. This example is available in the samples folder of the Oracle XML Publisher Template Builder for Word installation. The hyperlinks can be fixed or dynamic and can link to either internal or external destinations.
The data element SUPPLIER_URL from the incoming XML file will contain the hyperlink that will be inserted into the report at runtime.
If the value for the population element is greater than 1,000,000, the check box will display as checked.
To avoid this, everyone in the system is given a task that is guaranteed to give each participant an equal chance of completing first - a chance which is increased only by how much work they do. When it turned out that he wasn’t going to be writing any more, I spent some time trying to work out why.
Also, some people might add high-quality information, but others might not know what they’re talking about.
To teach yourself about a topic, you need to be a collector, which means you need access to the objects. It could contain metadata for each item (allowable up to a point - Aaron was good at pushing the limits of what information was actually copyrightable), but some books remained in copyright. He also saw that this would require politicians being open about their dealings (but became sceptical about the possibility of making everything open by choice; he did, however, create a secure drop-box for people to send information anonymously to reporters). Each resource and property was only defined in terms of other nodes and properties, like a dictionary defines words in terms of other words. If an AI is given misleading information it could make wrong decisions, and if an AI is not given access to the information it needs it could also make wrong decisions, and either of those could be calamitous. Your eye analyses the light arriving from the tree, and your brain tries to summarise the wavelengths that it’s seeing.
To be able to understand the shared properties of items in a group, and differences from items in a different group, is to begin to understand them. They’ve read Tim Berners-Lee’s books, and understand that there are Resources out there, with URLs that can be used to fetch them. And that’s before you get into the jQuery.ajax option names (data for the query parameters, dataType for the response type, etc). It also doesn’t return a Promise, though there’s an onload event that gets called when the request finishes.
Even with Gmail, there's no way to say that the person you email is the same person who's left a review, unless they have a URL (i.e. Now that both of those URLs are trusted, either of them can be used as the basis of a new trusted connection: linking from the trusted GitHub URL to a Flickr URL, and then from the Flickr URL to the trusted Google Plus URL (or any other trusted profile URL), is enough to prove that you also own the Flickr account and can write to it. In this case, when the published property is updated, the publishedDate property is also updated. The intense focus is on performance of Blink as a platform for mobile applications, and not at all on document rendering features.
Hardly anyone writes English (though a lot of people, and some machines, can read it to some extent). This makes running xmllint in the browser much more like running xmllint on the command line. We added a filter on the donor name, searched for their surname and selected those names which matched (there were several variations on each donor’s name in the database), then used Tableau’s grouping to group together the name variations.
Once this was done, Tableau easily mapped the location of each donor, to produce the final visualisation: a map of each donation to a political party, coloured according to the recipient party and sized according to the value of the donation. To avoid this, only the artists that had been given MusicBrainz IDs in the BBC data were included, and these MBIDs were used to query for tags. I'd like to be able to do the same thing in D3, as Gephi is quite awkward to use, and has cropped the node labels when exporting the above images (it seems to only take the nodes into account when cropping the output, and not their labels). Fusion Tables creates a virtual merged table, allowing updates to the source tables to be replicated to the final merged table as they occur. The UK parliamentary constituency shapefiles published by the Ordnance Survey as part of the Boundary-Line dataset contain polygons, names and two identifiers for each area: one is the Ordnance Survey’s own “unit id” and one is the Office for National Statistics’ “GSS code”.
Although there’s usually a property name in the first row, there’s rarely a datapackage.json file defining a basic data type (number, string, date, etc), and practically never a JSON-LD context file to map those names to URLs. For example: country names (a list of names that changes slowly), members of parliament (a list of names that changes regularly), years (a range of numbers that grows gradually), gene identifiers (a list of strings that grows over time), postcodes (a list of known values, or values matching a regular expression).
The Boundary-Line data is published under the OS OpenData license, which incorporates the Open Government License. On that page is a link to “Download RELION for free from here”, which leads to a form, asking for name, organisation and email address (which aren’t validated, so can be anything - the aim is to allow the owners to email users if a critical bug is found, but this shouldn’t really be a requirement before being allowed to download the software). They are difficult to find: trying to download XMIPP hits another registration form, and BSOFT has no visible license.
Apart from the folder name, the only way to find out which version of the code is present is to look in the configure script, which contains PACKAGE_VERSION=‘1.3’. The data table is paginated, sortable, filterable, and includes footer rows that summarise columns using facets where appropriate.
This is most likely what people will see first, so it links to the code repository for all the information needed to repeat the experiments. In theory this is good, but as it’s published in a system that doesn’t yet have version control, there’s no ability to compare past versions. However, browsers never fully supported the API, and are dropping any native support that did exist.
However, in order to provide this flexibility, the DOM API can be quite long-winded when reading the value of a single property, which is most often what's needed. A5), divided into two equal halves (front and back), produced using only HTML and CSS (and a PDF conversion). After writing a few scripts to fetch and parse data to CSV from various web services, using the DOI as the key for each row, I realised that it would be easier to gather the data in OpenRefine by incrementally adding columns. If you are familiar with XSL and prefer not to use the simplified tags, XML Publisher also supports the use of pure XSL elements in the template. The Default Text Entry is the value entered in the Default Text field of the Text Form Field Options dialog box (form field method only).
If you place the tags around the table, then for each new invoice the entire table with headings will be repeated. As the template loops through the CDs, we create an inner loop to repeat a star shape for every USER_RATING value (that is, a value of 4 will generate 4 stars). The combined object also contains a rectangle that is enabled to receive text from the incoming data. XML Publisher allows you to set the page number in the template to support this requirement.
The content above the statement is regarded as the header and the content below the statement is regarded as the footer. At runtime, the value of the XML element is replaced with the value it is cross-referenced to in the drop-down form field. I didn’t find out why the writing had stopped, exactly, but I did get some insight into why it might have started. If everyone had their own wiki, and you could choose which trusted sources to subscribe to, you’d be able to collect just the information that you trusted, augment it yourself, and then broadcast it back out to others. The colours might cycle over time, as day and night pass, and they might cycle over longer periods, as seasons pass.
The further away you look, the greater likelihood that the colour of a tree will be more different from the closest trees - the variance within the collection will increase. If this property was bound to the original table, you would see the new values being filled in as the data arrives!
If this was available it would be ideal, as then the bower_components folder could be left out of the built app. In particular, we looked at a recent news story in The Independent, which stated that “three senior figures at scandal-hit [HSBC] bank donated ?875,000" to the Conservative Party in recent years. Pleasingly the totals almost exactly matched those given in the news story, for the three named donors.
There’s no way to know what has changed from the previous version, as the previous versions are not available anywhere (this also means that it’s impossible to reproduce results generated using older versions of the software).
Happily, this is the format in which Twitter’s streaming API provides information, so it's ideal for piping into dat. Once a leaf has been attached to an item, the data added can then be used to build further leaves. That’s ok though, as long as it’s saved in the Internet Archive whenever someone refers to it. I've written a jQuery plugin that provides equivalent functions and makes them easier to use. The Placeholder Entry is the XML element tag name entered either in the Form Field Help Text field (form field method) or directly on the template. The position() function returns a record counter while in the loop, so for the first shape, the offset would be 1-1*100, or 0, which would place the first rendering of the object in the position defined in the template. This method avoids the ejection of an extra page at the end of the group when using the native Microsoft Word page break after the group. Each of my online profiles on different sites is literally a different “profile”, and I only choose to link some of them together. Authorship is immaterial (jk, partly), and when is anything ever authored by a single person, anyway? Subsequent occurrences would be rendered at a 100 pixel offset along the x-axis (to the right).

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