Password change history linux,how can i change my name legally in uk,watch the secret circle season 1 episode 5 - Step 3

20.09.2014
Remember: If you think something is off with any of your Google Accounts or Services, changing your password immediately should be your first step.
The first thing youa€™ll see, other than the Recent Activity Dashboard itself, is a highlighted link to change your password if you see something odd.
Your Recent Activity lists all your logins to Google Services in general, along with the time if it occurred the same day youa€™re looking at the Dashboard and the general location.
To the right of that, youa€™ll be able to click on anything in Your Recent Activity to get more details, such as exact time, approximate location based on the IP address, browser type and platform. Since the Recent Activity Dashboard only just launched, you wona€™t have too many details available, yet. This can be a powerful way to stay on top of your google account logins, especially if you notice something fishy may be happening, but cana€™t quite spot a pattern.
By looking at the Recent Activity Dashboard, you can determine if youa€™ve been the only one logging into Google Services and quickly put a stop to it by changing your password on the fly. Youa€™ll also be able to track where those login’s are coming from which can be beneficial to know if you travel a lot, have a family who share Google Services, or might suspect something not quite as sinister is happening with your login patterns. Overall, the Google Recent Activity Dashboard is a welcome addition to Googlea€™s other dashboards and account services. You should also check out tips for keeping your Gmail account secure as well as how to use the Google Account Activity Dashboard to prevent any security breaches online. If you use Google Services, account security and privacy should be a top priority in this hostile Web environment. You can turn off Last Account Activity Alerts by changing your alert preferences underneath the recent activity table. Click change, next to Show an alert for unusual activity and you’ll have the option to never show an alert for unusual activity. ABOUT USAt TechNorms, we focus on covering tech, products, and services that impact our daily lives.
Translations are part of the debian-edu-doc package which can be installed on a webserver, and is available online. Debian Edu aka Skolelinux is a Linux distribution based on Debian providing an out-of-the box environment of a completely configured school network. Immediatly after installation a school server running all services needed for a school network is set up (see the next chapter details of the architecture of this setup), just waiting for users and machines being added via GOsa?, a comfortable Web-UI, or any other LDAP editor.
Several educational applications like celestia, drgeo, gcompris, kalzium, kgeography, solfege and scratch are included in the default desktop setup, which can be extended easily and almost endlessly via the Debian universe.
What this means for your school is that Skolelinux is a version of Debian providing an out-of-the box environment of a completely configured school-network. The Skolelinux project in Norway was founded on Juli 2nd 2001 and about the same time Raphael Hertzog started Debian-Edu in France.
This section of the document describes the network architecture and services provided by a Skolelinux installation.
The reason that there can only be one main server in each school network is that the main server provides DHCP, and there can be only one machine doing so in each network.
In order to simplify the standard setup of Skolelinux, the Internet connection runs over a separate router.
This is designed to be modified - that is, you can have the NFS-root in syslinux point to one of the LTSP servers or change the DHCP next-server option (stored in LDAP) to have clients directly boot via PXE from the terminal server. With the exception of the control of the thin-clients, all services are initially set up on one central computer (the main server). To ensure security all connections where passwords are transmitted over the network are encrypted, so no passwords are sent over the network as plain text. Below is a table of the services that are set up by default in a Skolelinux network and the DNS name of each service. Personal files for each user are stored in their home directories, which are made available by the server.
All services are accessible using the same username and password, thanks to the central user database for authentication and authorisation. To increase performance on frequently accessed sites a web proxy that caches files locally (Squid) is used.
Centralised logging is set up so that all machines send their syslog messages to the server. By default the DNS server is set up with a domain for internal use only (*.intern), until a real ("external") DNS domain can be set up. Information on users and machines can be changed in one central location, and is made accessible to all computers on the network automatically. Administration of services and users will mainly be via the web, and follow established standards, functioning well in the web browsers which are part of Skolelinux. In order to avoid certain problems with NFS, and to make it simpler to debug problems, the different machines need synchronised clocks. Printers are connected where convenient, either directly onto the main network, or connected to a server, workstation or thin-client-server. A Skolelinux network can have many LTSP servers (also called thin client servers), which are installed by selecting the Thin client server profile.
The thin client servers are set up to receive syslog from the thin clients, and forward these messages to the central syslog recipient. Thin clients are a good way to make use of older, weaker machines as they effectively run all programs on the LTSP server. For diskless workstations the terms "stateless workstations", "lowfat clients" or "half-thick clients" are also used.
A diskless workstation runs all software on the PC without a locally installed operating system. Diskless workstations are an excellent way of reusing newer hardware with the same low maintenance cost as with thin clients.
Diskless workstations were introduced as part of the Linux Terminal Server Project (LTSP) with version 5.0. The term "networked clients" is used in this manual to refer to both thin clients and diskless workstations, as well as computers running Mac OS or Windows. All the Linux machines that are installed with the Skolelinux installer will be administrable from a central computer, most likely the server.
Currently there are two kinds of installation media images: netinstall (CD) and multi-arch USB flash drive.
The aim is to be able to install a server from any type medium once, and install all other clients over the network by booting from the network. The installation should not ask any questions, with the exception of desired language (e.g.
To enable shared access to files under the normal UNIX permissions system, users need to be in supplementary shared groups (such as "students") as well as the personal primary group that they're in by default.
Disk space requirements depend on profiles used, but any disk larger than 25 GiB will be sufficient for a workstation or standalone installation, 30 Gib for a thin-client server and at least 40 GiB on the main server.
Thin clients can run on as low as 64 MiB RAM and 133 MHz processor, though 128 MiB RAM and somewhat faster processors are recommended. For workstations, diskless workstations and standalone PCs, 800 MHz, 320 MiB RAM are minimum requirements, though 512 or 1024 MiB RAM will perform considerably better. If your diskless workstations have hard drives, it is recommended to use them for swap as it is a lot faster than network swapping.
On workstations with little RAM the spell checker can cause LibreOffice to hang if the swap space is too small. Laptops have the same requirements as for workstations since they are just movable workstations. You can have a lot of LTSP servers on the main network; two different subnets are preconfigured in LDAP. The router should not run a DHCP server, it can run a DNS server, though this is not needed and will not be used. If you are looking for a router firewall solution capable of running on an old PC, we recommend IPCop or floppyfw. If you need something for an embedded router or accesspoint we recommend using OpenWRT, though of course you can also use the original firmware.
It is possible to use a different network setup (there is a documented procedure to do this), but if you are not forced to do this by an existing network infrastructure, we recommend against doing so and recommend you stay with the default network architecture. We recommend that you read or at least take a look at the release notes for Debian Wheezy before you start installing a system for production use. Be sure to read the getting started chapter of this manual, though, as it explains how to log in for the first time. Even more information about the Debian Wheezy release is available in its installation manual. The netinstall CD, which also can be used for installation from USB flash drives, is suited to install on i386 and amd64 machines.
The multi-architecture ISO image is 5.2 GiB large and can be used for installation of amd64 and i386 machines.
For those without a fast Internet connection, we can offer a CD or DVD sent for the cost of the CD or DVD and shipping. 64 bit rescue mode makes this install medium become a rescue disk for emergency tasks on amd64. Graphical rescue mode makes this install medium become a rescue disk for emergency tasks with a graphical GTK look. 64 bit graphical expert install gives access to all available questions in graphical mode on amd64. 64 bit graphical rescue mode makes this install medium become a rescue disk for emergency tasks on amd64 with a graphical GTK look. If you want to boot the amd64 text mode with the multi-architecture image, that would be amd64-install. If you want to boot the i386 mode with the multi-arch image on an amd64 machine you need to manually select install (text mode) or expertgui (graphical mode). You can use an existing HTTP proxy service on the network to speed up the installation of the main server profile from CD. If you have already installed the main server profile on a machine, further installations should be done via PXE, as this will automatically use the proxy of the main server.
To install the GNOME desktop instead of the KDE "Plasma" desktop, add desktop=gnome to the kernel boot parameters.
Remember the system requirements and make sure you have at least two network cards (NICs) if you plan on setting up a thin client server. This is the main server (tjener) for your school providing all services pre-configured to work out of the box.
A computer booting from its local hard drive, and running all software and devices locally like an ordinary computer, except that user logins are authenticated by the main server, where the users' files and desktop profile are stored. Same as workstation but capable of authentication using cached credentials, meaning it can be used outside the school network.
An ordinary computer that can function without a main server (that is, it doesn't need to be on the network). This profile will install the base packages and configure the machine to integrate into the Debian Edu network, but without any services and applications. The ordering of the network cards after installation might differ from the ordering during installation. After giving the root password, you will be asked to create a normal user account "for non-administrative tasks". The password for this user must have a length of at least 5 characters - otherwise login will not be possible (even though a shorter password will be accepted by the installer). A netinst installation (which is the type of installation our CD provides) will fetch some packages from the CD and the rest from the net. This is useful in certain situations, such as if you want a pure thin client chroot or if there is already a diskless chroot on another server, which can be rsynced. Except for the longer installation time there is no harm in always creating combined chroots, which is why this is done by default.
Depending on which image you choose, the USB flash drive will behave just like a CD or Blue-ray disc.
This setup also allows diskless workstations and thin clients to be booted on the main network. The PXE installation uses a debian-installer preseed file, which can be modified to ask for more packages to install. Some settings can not be preseeded because they are needed before the preseeding file is downloaded.
Creating custom CDs, DVDs or Blue-ray discs can be quite easy since we use the debian installer, which has a modular design and other nice features. The text mode and the graphical installation are functionally identical - only the appearance is different. 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 last.fm 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 data.gov.uk, 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".
With Instructables you can share what you make with the world, and tap into an ever-growing community of creative experts. Now I know that anyone can go to freewebs (ahem, webs) and get a free website, but that requires no skill.
Making simple websites like those are really easy but the end produce would be just a rather simple website.
Google takes privacy seriously and has worked tediously to ensure that user’s Google Accounts arena€™t not only secure but stay private a€“ unless you choose otherwise.
While tools like the Recent Activity Dashboard are useful, if you ever think youa€™ve been hacked, phished or otherwise compromised, change your password first, then investigate the cause of the intrusion.
Dona€™t ignore your gut instinct when looking at the data presented in the Google Recent Activity Dashboard. Keep in mind that Google would need at least a week to disable this feature, to make sure the bad guys aren’t the ones who turned off your alerts. The content is copyrighted to TechNorms and may not be reproduced on other websites without written permission. Jasa, and my reply of today.A  I received this account during the 2006 Property Settlement Agreement, and am the sole legal owner.A  Eric has broken our Property Settlement Agreement by accessing, making changes to my account, authorizing transactions, and then having the nerve to lock me out of my own account! A netbooting environment is prepared using PXE, so after initial installation of the main server from CD, Blue-ray disc or USB flash drive all other machines can be installed via the network, this includes "roaming workstations" (ones that can be taken away from the school network, usually laptops or netbooks) as well as PXE booting for diskless machines like traditional thin-clients. Today the system is in use in several countries around the world, with most installations in Norway, Spain, Germany and France.
It is possible to move services from the main server to other machines by setting up the service on another machine, and subsequently updating the DNS-configuration, pointing the DNS alias for that service to the right computer. It is possible to set up Debian with both a modem and an ISDN connection; however, no attempt is made to make such a setup work out of the box for Skolelinux (the setup needed to adjust the default situation to this should be documented separately). It's possible (but not required) to also select and install the thin-client-server and workstation profiles in addition to the main server profile. For performance reasons, the thin-client-server should be a separate machine (though it is possible to install both the main server and thin-client server profiles on the same machine).
If possible all configuration files will refer to the service by name (without the domain name) thus making it easy for schools to change either their domain (if they have an own DNS domain) or the IP addresses they use. Home directories are accessible from all machines, giving users access to the same files regardless of which machine they are using.
In conjunction with blocking web-traffic in the router this also enables control of Internet access on individual machines.
The syslog service is set up so that it only accepts incoming messages from the local network. The DNS server is set up as caching DNS server so that all machines on the network can use it as the main DNS Server.


The web server provides mechanisms for authenticating users, and for limiting access to individual pages and subdirectories to certain users and groups. The delegation of certain tasks to individual users or user groups will be made possible by the administration systems.
To achieve this the Skolelinux server is set up as a local Network Time Protocol (NTP) server, and all workstations and clients are set up to synchronise with the server.
Access to printers can be controlled for individual users according to the groups they belong to; this will be achieved by using quota and access control for printers. This means that the machine boots from a diskette or directly from the server using network-PROM (or PXE) without using the local client hard drive. This works as follows: the service uses DHCP and TFTP to connect to the network and boot from the network.
This means that client machines boot directly from the server's hard drive without running software installed on a local hard drive. Software is administered and maintained on the server with no need for local installed software on the clients.
It will be possible to log in to all machines via SSH, and thereby have full access to the machines. Updates of user accounts are made against this database, which is used by the clients for user authentication. Norwegian Bokmal, Nynorsk, Sami) and machine profile (server, workstation, thin client server). This section (home directory) contains the user's configuration files, documents, email and web pages. If users have an appropriate umask to make newly created items group-accessible (002 or 007), and if the directories they're working in are setgid to ensure the files inherit the correct group-ownership, the result is controlled file sharing between the members of a group. The Debian default umask is 022 (which would not allow group-access as described above), but Debian Edu uses a default of 002 - meaning that files are created with read access for everybody, which can later be removed by explicit user action. It can be installed on just one standalone PC, or as a region-wide solution at many schools operated centrally.
Then the system administrator has to disable the spell checker on LibreOffice or students have to kill LibreOffice, resulting in loss of work. These profiles can be installed on one machine together if you want to install a so called combined main server. For Debian Edu this account is very important: it is the account you will use to manage the Skolelinux network. Be aware that all data is stored locally (so take some extra care over backups) and login credentials are cached (so after a password change, logins may require your old password if you have not connected your laptop to the network and logged in with the new password). The amount of packages fetched from the net varies from profile to profile but stays below a gigabyte (unless you choose to install all possible desktops). Currently this profile actually installs an LTSP server environment for thin-clients and for workstations. When clients boot via the main network, a new PXE menu with installer and boot selection options is displayed. Unlike workstations, diskless workstations don't have to be added to LDAP with GOsa?, but can be, for example if you want to force the hostname. These files can be changed to adjust the preseeding used during installation, to avoid more questions when installing over the net. The graphical mode offers the opportunity to use a mouse, and of course looks much nicer and more modern. 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 last.fm 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. Wea€™ll show you how to use Googlea€™s Recent Activity Dashboard to keep your Google Account secure by keeping an eye on you login details. The Recent Activity Dashboard helps users see just where they log in from, what theya€™re logging in from and helps them identify potential security and privacy intrusions. The number of workstations can be as large or small as you want (starting from none to a lot). The server is operating system agnostic, offering access via NFS for Unix clients, SMB for Windows and Macintosh clients. Mailing lists are set up based on the user database, giving each class their own mailing list.
Users will have the ability to create dynamic web pages, as the web server will be programmable on the server side.
The directory will have information on users, user groups, machines, and groups of machines. The server itself should synchronise its clock via NTP against machines on the Internet, thus ensuring the whole network has the correct time.
Next, the file system is mounted via NFS from the LTSP server, and finally the X Window System is started.
In order to change the client configuration, it suffices to edit the server configuration and let the automation distribute the changes.
All other configuration will be set up automatically with reasonable values, to be changed from a central location by the system administrator subsequent to the installation.
Some of the files should be set to have read access for other users on the system, some should be readable by everyone on the Internet, and some should not be accessible for reading by anyone but the user. More directories may then be created when needed to accommodate particular user groups or particular patterns of usage. This flexibility makes a huge difference to the configuration of network components, servers and client machines. Enabling at least 512 MiB swap on a 320 MiB RAM workstation solves this, and the spell checker runs smoothly.
We have done a good job of hiding the complexity of Debian during the installation and beyond. For single user notebooks and laptops this profile should be selected and not 'Workstation' or 'Standalone' as suggested in earlier releases.
This computer needs two network cards, a lot of memory, and ideally more than one processor or core.
Once you have installed the main-server (whether a pure main-server or combi-server does not matter), further installation will use its proxy to avoid downloading the same package several times from the net. Debian bug 588510 has been filed to change the name of the profile into a better suited one. If PXE installation fails with an error message claiming a XXX.bin file is missing, then most probably the client's network card requires nonfree firmware. 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. By monitoring your Google Account activity from the Recent Activity Dashboard, you can ensure youa€™re the only one accessing Google.
The same goes for the thin-client servers, each of which is on a separate network so that the traffic between the clients and the thin-client server doesn't affect the rest of the network services. The allocated DNS name makes it easy to move individual services from the main-server to a different machine, by simply stopping the service on the main-server, and changing the DNS configuration to point to the new location of the service (which should be set up on that machine first, of course). Clients are set up to deliver mail to the server (using 'smarthost'), and users can access their personal mail through IMAP. To avoid user confusion there won't be any difference between file groups, mailing lists, and network groups. However, Debian Edu is Debian, and if you want there are more than 15,000 packages to choose from and a billion configuration options.
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?
Staying on top of this type of activity is another way to prevent yourself from being a hacking victim on the Web. This implies that groups of machines which are to form network groups will use the same namespace as user groups and mailing lists. Choosing this profile also enables the workstation profile (even if it is not selected) - a thin client server can always be used as a workstation, too. Please note that you must have 2 network cards installed in a machine which is going to be installed as a combined main server or as a thin client server to become usefull after the installation. For very old thin clients which are too slow for the encryption this can be set to the behavior from former versions, which is to use a direct X connection via XDMCP.
Rose, The account ending in 6661 was opened as a joint account, which gave you and Eric Swanson equal rights and ownership. During this call the online password was reset, he submitted a Removal of Non-maketable Security Form ,and placed an order to sell Ultra Short S&P 500 ProShares (SDS). No funds can be removed and no trades can be processed until a signed letter of instruction (LOI) from all account owners is received by our firm.A  In order to remove Mr. Swanson as a co-account holder you will need to submit a certified divorce decree and a notarized letter of instruction signed by both parties.
Swanson could send a notarized LOI asking that his name be removed from the account as co-account holder. This is not an offer or solicitation in any jurisdiction where we are not authorized to do business.
Please send me the previously requested Affidavit of Fraud, the recorded conversation between Eric William Swanson, and the proper form for removal of Eric's name from my account.
Co-holders to an accountare allowed to do whatever they want with (including withdrawals, changingpasswords, closing the account) without the consulting the other party.
Swanson would have conducted transactions in theaccount if he knew he wasn't authorized to do so by the court.Fraudulent activity has occurred within my account, as Eric William Swanson was not legally entitled to access it.
When will I receive the audio recording of the conversation between Eric William Swanson and TD Ameritrade?I'm most curious to hear how he justified accessing my account. Based on your words, it appears that the "security" of my account isn't really of much concern to you, Richard. Rather, clarification of ownership seems to be your assignment.I'm not concerned about "people evesdropping" on any of my conversations,it's good practice to not broadcast one's personal information and account numbers overcellular or cordless phones. Rose,To process your request, please send us:- A copy of the certified divorce decree that specifically states to removeEric William Swanson as a co holder. We aresending you this notification to inform you of important information regardingyour account.
Talk with our Virtual Investment Consultant and get immediate answers to questions about our products, tools, and services. Grant, Attorney at Law, Juneau, AK From Wedding Bells to Tales to Tell: The Affidavit of Eric William Swanson, my former spouse AFFIDAVIT OF SHANNON MARIE MCCORMICK, My Former Best Friend THE AFFIDAVIT OF VALERIE BRITTINA ROSE, My daughter, aged 21 THE BEAGLE BRAYS! HELL'S BELLS: THE TELLS OF THE ELVES RING LOUD AND CLEAR IDENTITY THEFT, MISINFORMATION, AND THE GETTING THE INFAMOUS RUNAROUND Double Entendre and DoubleSpeak, Innuendos and Intimidation, Coercion v Common Sense, Komply (with a K) v Knowledge = DDIICCKK; Who's Gunna Call it a Draw?



The secret movie music list
Video secret moonlight starlight xpress
Secret saturdays 8. b?l?m t?rk?e izle full
Secret language of your name


Comments Password change history linux

  1. YAPONCIK
    You of the notion that throne that's comprised of four cushions, three yoga blocks highlight of this pilgrimage.
  2. kalibr
    An outpatient program in behavioral drugs for power most probably to be just.