Consent to the Collection and Processing of your Personal Data
We hereby inform you that the company Blasting Sagl (“Blasting”) collects and processes your Personal Data (as defined below), as a result of your being a user of its internet portal www.blastingnews.com in accordance with the privacy requirements established by (a) the Swiss Federal Act on Data Protection of June 19, 1992 (as further amended from time to time, the “FADP”) and related legislation, (b) the Italian Legislative Decree of June 30, 2003, no. 196 (the “Privacy Code”), and (c) the Italian regulation “Simplified Arrangements to Provide Information and Obtain Consent Regarding Cookies”, issued by the Italian Data Protection Authority on May 8, 2014.
This information is further addressed to any user consulting the web-based services that are made available by Blasting via its electronic networks.
The information provided herein only applies to the use of the website of Blasting, and does not extend to any other websites that may be visited by any user via external links.
The processing of your personal data (e.g., name, address, telephone number, email address, age, sex, user generated information such as financial interests, shopping habits, etc.., and all other data which have been provided to us by you voluntarily) (the “Personal Data”) which is already or which will be in our possession, is and will be carried out in full compliance with the principles of correctness, transparency and confidentiality, in accordance with any applicable legal provisions protecting these principles.
Your Personal Data may be subject to collection, registration, organization, preservation, consultation, elaboration, modification, selection, extraction, comparison, use, interconnection, blocking, communication, diffusion, transmission, resale, cancellation and destruction (the “Collection and Processing”). One or more of those operations may be performed on your Personal Data with manual, electronic, computer or communication instruments, with methods and means that are appropriate in order to ensure the security of the Personal Data. The Personal Data may be archived either in paper form or electronically and shall be kept stored by Blasting for commercial purposes for a period strictly pertinent to such purposes, and, in any case, for a maximum term of 10 years, solely in relation to instructions or requests received by the Swiss, Italian or other competent authorities.
Subject to the conditions and for the purposes described above, the Personal Data Collection and Processing may be carried out, on behalf of Blasting, by third partiesthat provide specific custody, organization, preservation and/or filing services to Blasting, which third parties are and will be responsible for their processing of the Personal Data.
Our website and marketing emails may contain links to offers from third parties. Blasting has no influence on how other providers on linked websites handle the information displayed on these sites. If you have any questions in this regard, please contact these third parties directly. We are not responsible for upholding the data protection regulations in relation to these websites or for their content. By using this website, you agree and acknowledge the Collection and Processing of your Personal Data in the manner and for the purpose herein described.
The Collection and Processing of your Personal Data shall be carried out exclusively for the following purposes:
Your Personal Data in our possession may also be communicated to third parties, for the purposes indicated above, in Switzerland, Italy and in other countries identified on our website, namely but not exclusively to entities which are part of the corporate group of Blasting; other entities which are involved in subscription processes, sale and management operations; entities performing banking, financial and other outsourced services for Blasting; entities performing internet support services; entities which are in general business partners of Blasting; supervisory authorities of internet activities; and supervisory authorities for journalism and media related matters. These third parties shall act independently from Blasting, unless they are designated data processors. Your Personal Data shall not otherwise be subject to public disclosure.
Blasting has no influence on how such third parties handle the information received and is not responsible for the observance of data protection regulations by these third parties.
Employees or consultants of Blasting as well as of third parties that provide support services to Blasting, may come to know your Personal Data. These individuals or entities shall operate as data processors or persons in charge of the processing.
We shall ask for your express consent to the treatment and processing of Personal Data whenever possible. In some specific cases, we assume your consent based on your actions and mode of behavior. By using the website www.blastingnews.com and related websites indicated therein you consent to the Collection and Processing of your Personal Data. Should you not consent to the above describe usage of your Personal Data, we kindly ask you to refrain from the usage of our website and related sites.
Policy processing of imported contacts by users.
In order to improve a smooth functioning of the services offered by Blasting, it may send messages by automated systems (e.g. email, SMS or MMS) to contacts imported by you in relation to the use of on-site services, including among others - as an example - the news sharing or inviting friends services. We shall ask for express consent to the treatment and processing of Personal Data of such third party contacts whenever possible. In some specific cases we assume consent by such third party contacts based on their actions and mode of behavior.
Your rights with respect to your Personal Data include the right: (a) to receive confirmation of the existence of and information on any Personal Data relating to you, at any time and even if they are not already processed; (b) to be informed about the source of the data, purposes and methods of the Collection and Processing, the rationale of any Collection and Processing carried out through electronic means, the details of the data controller and of any data processors and the entities or categories of entities to which the Personal Data may be communicated or which may get to know such data; (c) to obtain (i) the updating, rectification and integration of your Personal Data, (ii) the cancellation, transformation into anonymous form or blocking of Personal Data that has been processed unlawfully, including data whose retention is unnecessary for the purposes for which it has been collected or subsequently processed, and (iii) a certification to the effect that the operations described in the foregoing items (i) and (ii) and their content have been notified to those third parties to which the Personal Data has been communicated and/or distributed, unless this requirement proves impossible or involves an effort that is manifestly disproportionate to the right that should be protected (e.g., in cases where Personal Data has been transmitted by third parties to other entities unknown to Blasting); and (d) to object, in whole or in part, on legitimate grounds, to the Collection and Processing of your Personal Data, even if Personal Data has been collected or processed purposefully. Note that in the latter case, your usage of the website www.blastingnews.com will no longer be possible.
Your data controller is Blasting Sagl, with registered offices in Chiasso, Via Livio 14, CH-6830 Switzerland, and your data processor, to whom you may refer in order to exercise the abovementioned rights, is Blasting’s director of administration pro tempore, domiciled for this purpose at Blasting’s registered offices, who also keeps an updated list of data processors.
Blasting’s Italian representative is Andrea Manfredi, which is appointed to ensure the implementation of the Italian provisions concerning the Collection and Processing of your Personal Data pursuant to section 5, paragraph 2, of the Privacy Code.
To request information regarding your data and/or about the exercise of the above- mentioned rights, kindly send an email to<EMAIL_ADDRESS>Please keep in mind that you may revoke your consent at anytime.
What is a cookie?
In order to improve its customer services and for marketing activities, Blasting uses cookies (a small file sent from the web server to the customer’s internet browser and saved in the customer’s computer). When you visit a website which uses cookies, such website sends small text snippets from the web server to the user’s internet browser and saves them in the user’s personal computer. At your next visit on that website, these files will be re-sent to the website that generated them in order to improve your use of the site in question.
“Third parties” cookies, on the other hand, are sent from websites that you are not directly visiting. It occurs namely when accessing certain elements (like images, links, etc.) that are hosted by a different server from the one of the visited website.
Some cookies are necessary for the correct use of the website and cannot be disabled. Others, like the ones regarding memorization of preference parameters, can be disabled.
The advantage for a user to have cookies installed on his/her computer consists in the fact that he/she is no longer required to provide the same information every time he/ she accesses the same website, as his/her personal information is remembered by the website through the cookies.
What are cookies needed for?
Cookies help to improve our services and your browsing experience. There are various kinds of cookies, each one having a specific purpose. Blasting uses the following cookies:
Technical cookies or “first-party” cookies
These cookies are managed by the owner and/or the publisher of the website and are strictly needed for the proper operation of the website but also provide aggregate data for internal surveys regarding the numbers of website-visits, the popularity of the website and traffic flow information.
In order to install these cookies, the consent of the user is not required (essentially as all data collected remains anonymized). Nonetheless, the administrator of the website shall provide the user with the information deemed appropriate and in line with section 13 of the Privacy Code.
Technical cookies do not collect information that may be used for advertisements, neither do they track the users’ personal browsing history.
Given the technical and impersonal character of these cookies, the user is generally not required to accept this kind of cookies, as stated by the provision “Simplified Arrangements to Provide Information and Obtain Consent Regarding Cookies”, issued by the Italian Data Protection Authority on May 8, 2014.1 However, if the user denies the installation of the cookies, his/her access to the website is denied as well.
Profiling cookies
Profiling Cookies are used to create user profiles and are installed in order to send advertising messages according to the preferences of the user identified by the cookies.
Considering the resulting interference with privacy such cookies entail, the legislator requires the websites to properly inform their users regarding the installation of such cookies and allows the installation only upon express consent by the user.
“Third party” cookies
These cookies are installed on the user’s browser by a party that is not the owner and/ or the publisher of the visited website. There are various types of such “third party” cookies, among which:
Analytics Cookies: used to collect and analyze data. They do not identify the individual user.
Advertising Cookies: applied to understand and store user preferences for advertising purposes during the user’s online browsing. Blasting has no influence on the use of cookies installed by entities or third parties linked to its website and declines all responsibility thereto.
NAI Policy
We allow third-party companies to serve ads and/or collect certain anonymous information when you visit our web site. These companies may use non-personally identifiable information (e.g., click stream information, browser type, time and date, subject of advertisements clicked or scrolled over) during your visits to this and other Web sites in order to provide advertisements about goods and services likely to be of greater interest to you. These companies typically use a cookie or third party web beacon to collect this information. To learn more about this behavioral advertising practice or to opt-out of this type of advertising, you can visit http://www.networkadvertising.org/managing/opt_out.asp.
How to disable cookies?
Through the use of the website www.blastingnews.com, the user’s consent to the installation of cookies is assumed by Blasting. Users and customers who do not wish to receive cookies may block “first party”, “profiling” and/or “third party” cookies following the instructions provided by each browser, set forth hereinafter.
For further information on third parties installing cookies on our websites, with which direct or indirect commercial relations have been established by Blasting, kindly refer to the respective information on the Privacy Policy of such third parties.
In order to delete cookies stored on your computer, please refer to the guide of your browser and follow the instructions.
Please note that by disabling “first party” cookies, you will not be able to navigate our website.


You have agreed to be an assessor for the upcoming competition 'My Competition'
Assessment period for reading, scoring, providing written comments and submitting to our online
service. Each assessor could receive up to 10 applications to assess. This depends on the
application response. Our assessment fee for this competition is £
The assessor briefing is mandatory. It will consist of a one
hour webinar on
Competition details: My Competition
View competition brief (opens in a new window).
If you have any queries, please contact Innovate UK competitions@innovateuk.ukri.org.


Confirm Delete
Confirm delete page
title
?
Confirm delete file
name
?
Confirm delete folder
name
?
Save
Cancel


fixerapi
../docs/vignettes/introduction.Rmd
introduction.Rmd
fixerapi
is a package for accessing data from the fixer.io currency exchange rate API. The fixer.io API requires registration and the use of an API key. Free accounts are limited to 10,000 API calls a month, and can only access the most currency conversion rates, using the Euro as the base currency. For complete details, see the documentation on fixer.io.
Set your fixer.io API key with the fixer_api_key()
function, or with Sys.setenv(FIXER_API_KEY = <key>)
. You can find your key on your fixer.io dashboard.
If you have a paid account, setting your account type to “paid” with fixer_account_type("paid")
switches to SSL connections over HTTPS, instead of the HTTP connection used by free accounts. Setting your account type does not have any other effects on your ability to use the fixer.io API. Features limited to certain levels of account are automatically limited by the Fixer API itself, and will return warning messages indicating as such.
fixerapi
To access a tibble
with the name and currency symbol (a three letter code) for all currencies available through the API, use fixer_symbols()
.
There are five currency exchange query types, which fixer.io calls endpoints. They are:
fixer_latest()
(available with free account)fixer_historical()
(available on all paid accounts)fixer_convert()
(available on all paid accounts)fixer_time_series()
(available on “professional” and higher grade accounts)fixer_fluctuation()
(available on “professional plus” and “enterprise” grade accounts)With the exception of fixer_convert()
, which is limited to two currencies, all functions give an option for a base currency that is indexed to 1 and other currencies are compared to – the default is the Euro – and an option to limit the currencies it is compared with, using the symbols
parameter, which takes a character vector of currency symbols. If no symbols are specified, all available currencies are returned.
library(fixer) today_symbols <- fixer_latest(base = "EUR", symbols = c("JPY", "GBP", "USD", "CAD", "CHF")) print(today_symbols) #> A tibble: 5 x 2 #> name value #> <chr> <dbl> #> 1 JPY 131. #> 2 GBP 0.873 #> 3 USD 1.23 #> 4 CAD 1.57 #> 5 CHF 1.18 today_all <- fixer_latest(base = "EUR") print(today_all) #> A tibble: 168 x 2 #> name value #> <chr> <dbl> #> 1 AED 4.51 #> 2 AFN 84.9 #> 3 ALL 130. #> 4 AMD 589. #> 5 ANG 2.18 #> 6 AOA 263. #> 7 ARS 24.7 #> 8 AUD 1.60 #> 9 AWG 2.18 #> 10 AZN 2.09 #> ... with 158 more rows
The example above shows the exchange rates on 2018-04-03.
Free accounts are limited to the fixer_latest()
function, and cannot change the base currency. Free accounts come with 10,000 calls per month, paid accounts with more, depending on the level of the paid account.
Full documentation for the API itself is available on the Fixer website, along with the signup.


LOG IN
Welcome to
Select N Share™
the original instant networking™ app
JOIN NEW NETWORK
CREATE QR LINK


You are invited to start setting goals to be more productive. Login with your UvA credentials using the following link: {{ APP_URL }}


CSP
Insec-Passwd
Mixed-Content
SSL
Sec-Headers
(By-default security report is stored on Desktop)
Download a detailed security report:


- IDENT_REQUEST - Static variable in class net.mcreator.minecraft.link.LinkProtocol
-
- IDeviceDetector - Interface in net.mcreator.minecraft.link.devices
-
- init(Minecraft, int, int) - Method in class net.mcreator.minecraft.link.gui.GuiDirectLink
-
Adds the buttons (and other controls) to the screen in question.
- init(Minecraft, int, int) - Method in class net.mcreator.minecraft.link.gui.GuiMCreatorLink
-
Adds the buttons (and other controls) to the screen in question.
- initDetector() - Method in class net.mcreator.minecraft.link.devices.arduino.ArduinoDetector
-
If detector needs any initialization, it can be done in this method
- initDetector() - Method in interface net.mcreator.minecraft.link.devices.IDeviceDetector
-
If detector needs any initialization, it can be done in this method
- initDetector() - Method in class net.mcreator.minecraft.link.devices.raspberrypi.RaspberryPiDetector
-
If detector needs any initialization, it can be done in this method.
- isAnalogInputsStatusMessage(byte[]) - Static method in class net.mcreator.minecraft.link.LinkProtocol
-
- isConnected() - Method in class net.mcreator.minecraft.link.devices.AbstractDevice
-
This method checks if the current device is connected with the Link
- isConnected() - Method in class net.mcreator.minecraft.link.devices.arduino.Arduino
-
This method checks if the current device is connected with the Link
- isConnected() - Method in class net.mcreator.minecraft.link.devices.raspberrypi.RaspberryPi
-
This method checks if the current device is connected with the Link
- isDigitalInputsStatusMessage(byte[]) - Static method in class net.mcreator.minecraft.link.LinkProtocol
-
- isRisingEdge() - Method in class net.mcreator.minecraft.link.event.LinkDigitalPinChangedEvent
-
Returns the type of pin value change
- isSelectedItem(int) - Method in class net.mcreator.minecraft.link.gui.GuiListDevices
-
Returns true if the element passed in is currently selected


#assign subtitle = "Eclipse IDE - APT"> <#assign eclipseApt = "true">
The Eclipse IDE plugin is installed from: http://ebean.io/eclipse/update
If you want to use Query beans
it is best that they are generated
via Java annotation processing
. Ebean provides querybean-generator
which is a java annotation processor that generates query beans.
Normally we just need to add the querybean-generator
as a maven dependency and
it will all automatically work (with Maven and IntelliJ) but with Eclipse IDE we need some extra
setup in order for it to work.
This page documents the extra setup we need for Eclipse IDE such that it becomes aware of the
querybean-generator
APT processor and generates query beans for us during development.
First install the m2e apt plugin (by Redhat) from the Market place.
This plugin allows us to configure Eclipse to find java annotation processors in the maven classpath (just like Maven and IntelliJ do automatically).
Goto Preferences / Maven / Annotation processing and select the option. "Automatically configure JDT APT" is usually a fine default.
Turn on annotation processing for the project.
Check the Factory Path
. It is ok if all entries in the classpath are
selected but what MUST be selected is querybean-generator
and additionally
persistence-api
and ebean
(we need these last 2 as
they contain annotations that querybean-generator is reading as part of it's code generation).


GPSD has an exceptionally low defect rate. Our first Coverity scan, in March 2007, turned up only 2 errors in over 22KLOC; our second, in May 2012, turned up just 13 errors in 72KLOC, all on rarely-used code paths. Though the software is very widely deployed on multiple platforms, we often go for months between new tracker bugs.
Here's how that's done:
GPSD has around 100 unit tests and regression tests, including sample device output for almost every sensor type we support. We've put a lot of effort into making the tests easy and fast to run so they can be run often. This makes it actively difficult for random code changes to break our device drivers without somebody noticing.
Which isn't to say those drivers can't be wrong, just that the ways they can be wrong are constrained to be through either:
Our first Coverity run only turned up two driver bugs - static buffer overruns in methods for changing the device's reporting protocol and line speed that escaped notice because they can't be checked in our test harnesses but only on a live device.
This is also why Coverity didn't find defects on commonly-used code paths. If there'd been any, the regression tests probably would have smashed them out long ago. A great deal of boring, grubby, finicky work went into getting our test framework in shape, but it has paid off hugely.
We regulary apply Coverity, cppcheck, and scan-build. We've as yet been unable to eliminate all scan-build warnings, but we require the code to audit clean under all the other tools on each release.
We used to use splint, until we found that we couldn't replicate the results of splint runs reliably in different Linux distributions.  You have to drop cryptic, cluttery magic comments all over your source to pass hints to splint and suppress its extremely voluminous and picky output. We have retired in favor of more modern analyzers.
cppcheck is much newer and much less prone to false positives. Likewise scan-build. But here's what experience tells us: each of these tools finds overlapping but different sets of bugs. Coverity is, by reputation at least, capable enough that it might dominate one or more of them - but why take chances? Best to use all and constrain the population of undiscovered bugs into as small a fraction of the state space as we can.
We also use valgrind to check for memory leaks, though this is not expected to turn up bugs (and doesn't) due to our no-dynamic-allocation house rule.
Neither magic or genius is required to get defect densities as low as GPSD's. It's more a matter of sheer bloody-minded persistence - the willingness to do the up-front work required to apply and discipline fault scanners, write test harnesses, and automate your verification process so you can run a truly rigorous validation with the push of a button.
Many more projects could do this than do. And many more projects should.


@()(implicit flash: Flash) @main(None) { @flash.get("error").map { errorMessage =>
Oops! @errorMessage
This is SockJS sample application adapted from Play 2.0 Websocket sample. To start, choose a username and sign in using the top right form.


| 18 | #Topic Name# Topic Title |
1 min 888 |
|
| 18 | #Topic Name# Topic Title |
1 min 888 |
|
| 18 | #Topic Name# Topic Title |
1 min 888 |
|
| 18 | #Topic Name# Topic Title |
1 min 888 |
|
| 18 | #Topic Name# Topic Title |
1 min 888 |
|
| 18 | #Topic Name# Topic Title |
1 min 888 |
|
| 18 | #Topic Name# Topic Title |
1 min 888 |
|
| 18 | #Topic Name# Topic Title |
1 min 888 |
|
| 18 | #Topic Name# Topic Title |
1 min 888 |
|
| 18 | #Topic Name# Topic Title |
1 min 888 |
|
| 18 | #Topic Name# Topic Title |
1 min 888 |
|
| 18 | #Topic Name# Topic Title |
1 min 888 |
|
| 18 | #Topic Name# Topic Title |
1 min 888 |
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
|
| 18 | Topic Title |
1 min 888 888 |
Group icon :
Group Name :Fancy Child
Creator : Jess.J
Introduction :
1288
University


L-systems or Lindenmayer systems are parallel rewriting systems which can be used to simulate biological forms and certain kinds of fractals. Briefly, in an L-system a series of symbols in a string are replaced iteratively according to rules to give a more complex string. Eventually, the symbols are translated into turtle graphics for plotting. Wikipedia has a very good introduction: en.wikipedia.org/wiki/L-system This package provides basic functions for exploring L-systems.
| Version: | 0.1.13 |
| Depends: | stringr, grid |
| Published: | 2017-07-31 |
| Author: | Bryan Hanson [aut, cre] |
| Maintainer: | Bryan Hanson <hanson at depauw.edu> |
| BugReports: | https://github.com/bryanhanson/LindenmayeR/issues |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | LindenmayeR results |
| Reference manual: | LindenmayeR.pdf |
| Package source: | LindenmayeR_0.1.13.tar.gz |
| Windows binaries: | r-devel: LindenmayeR_0.1.13.zip, r-release: LindenmayeR_0.1.13.zip, r-oldrel: LindenmayeR_0.1.13.zip |
| OS X binaries: | r-release: LindenmayeR_0.1.13.tgz, r-oldrel: LindenmayeR_0.1.13.tgz |
| Old sources: | LindenmayeR archive |
Please use the canonical form https://CRAN.R-project.org/package=LindenmayeR to link to this page.


| 1146 | (A) | Swelte whils þe sege laste by suerde & by hungre |
| 1149 | (C) | Dyede whyle þe labour leste . by swerde & by hongur |
| 1132 | (D) | Swelt whil þe sege last with swerd & with hungir |
| 1109 | (E) | deyde in tyme þe seege laste . with swerd or with hunger . |
| (Ex) | ---- no text ---- | |
| 1170 | (L) | swalten while þe sweng last by swerd & by hunger |
| (P) | ---- no text ---- | |
| 1121 | (U) | Swalt whils the sege last / by thrist and by hunger |
| 210 | (V) | Swelte while þe swyng laste . by swerde & by hongre |


Introduction
Valence turns your Android phone or tablet into a remote
keyboard and mouse for any computer. The inspiration for Valence
was a need to control a home theater PC from the couch, but it can be
useful in any situation where a computer doesn't have a keyboard and
mouse handy. Your computer must be reachable over the network from
your Android device, and be running a VNC server.
Most computer remote control apps require that the controlled computer
be running special software, unique to the app, that relays mouse and
keyboard events to the operating system. Not only does this add yet
another single-purpose ever-running program to your computer, but the
author may not have support for your operating system yet. To solve
this problem, Valence uses the industry standard
VNC
system and its RFB
(remote framebuffer) protocol. Many operating systems come with VNC
built-in, and many people may already have VNC installed and enabled.
Instead of using VNC to see the screen of a remote computer, Valence
uses VNC in a strictly one-way fashion—input events are
transmitted from the Android handset to the VNC server, but video
frames are never sent from the server to the handset.
Installing a VNC server on your computer
To use Valence, make sure you have VNC server software installed on
your computer, and configured to allow connections:
Mac OS X 10.6 Snow Leopard
Macs have built-in VNC software, so no additional software needs to be
installed.
- In "System Preferences," go to the "Sharing" tab and make
sure "Remote Management" is selected.
- Click "Computer Settings...", make sure "VNC viewers may control
screen with password" is selected, and provide a password.
- When configuring this server in Valence, do not select "Mac
authentication." If you prefer to use "Mac authentication," you'll need
to follow the directions for Lion, below.
NOTE: In July 2011, Apple pushed an update to Snow Leopard users
which included a newer version of Apple Remote Desktop, the built-in VNC
server. This new version, v3.5, breaks Valence's support for sending
a right-click when you two-finger tap. To restore right-click support,
be sure to check the "Send mouse button-2 instead of button-3" option when
configuring this server in Valence.
Mac OS X 10.7 Lion
Macs have built-in VNC software, so no additional software needs to be
installed.
- In "System Preferences," go to the "Sharing" tab and make
sure "Remote Management" is selected.
- Click "Options..." and make sure "Observe" and "Control"
are selected.
- When configuring this server in Valence, select "Mac authentication"
and provide your username.
NOTE: Valence cannot use standard VNC authentication to connect
to the built-in VNC server in Lion. You must use Mac
authentication. Starting with Lion, Apple Remote Desktop presents a
special login screen to users connecting with standard VNC
authentication, which you cannot see with an input-only VNC client such
as Valence.
Ubuntu Linux
Ubuntu Linux has built-in VNC software, so no
additional software needs to be installed. In the System menu, select
Preferences then Remote Desktop. Check "Allow other users to view your
desktop" and "Allow other users to control your desktop," uncheck "You
must confirm each access to this machine," and check "Require the user
to enter this password." Assign a password.
Windows
Windows does not have a built-in VNC server, so
you'll need to install one. I recommend downloading the latest version
of TightVNC. On TightVNC's
download page,
click the "download" link next to "Self-installing package for Windows."
Open the downloaded package, click "Run," and proceed through the setup
wizard. (Just keep hitting "Next" and "I agree".)
Enter a password when prompted in the "Service Configuration" dialog,
click "Install," and complete the installation.
Configuring Valence
Before using Valence, you must configure the app with information
about the computer you wish to control. There are two ways to do this.
When you first launch Valence, you will be presented with a list
of configured VNC servers, the option to manually add a new server, and the
option to automatically discover VNC servers.
-
Manually add a VNC server. Select "Add a new VNC server...". Enter
the IP address or hostname of your VNC server and the password, then click
"Connect." The server will then be configured in Valence.
-
Discover a VNC server. Select "Discover VNC servers...". VNC servers
that are capable of advertising themselves on the network will appear in a
list. (Note: Not all VNC servers support this feature—in particular,
TightVNC does not. Also, some Android handsets such as the HTC EVO 4G have
trouble performing discovery.) Select the desired server from the list, and
you will be presented with a server configuration screen. Enter your password,
click "Connect," and the server will be configured in Valence.
Using Valence
To control a computer, select its name from the list which appears when you
launch Valence. After connecting, you will see a large touchpad
area on the screen. You can use this touchpad to move the mouse pointer of
the computer in much the same way you use a touchpad on a laptop—swipe
your finger in the direction you want the pointer to move. To click the
mouse, quickly tap your finger anywhere in the touchpad area. To perform
a right-click, tap on the touchpad with two fingers at the same time. To
scroll, swipe two fingers up and down.
If your Android device has a physical keyboard, you can use it to type on
the remote computer. Otherwise, pressing the keyboard icon will present the
soft keyboard which can be used for typing.
When finished, press your device's back key.
Security considerations
The VNC protocol (RFB) performs authentication using a DES-based
challenge-response system, so your VNC password is never transmitted in
the clear. However, security-conscious users should note the following:
-
Keys and mouse movements are transmitted in the clear.
Therefore, if you type a password on your computer via a VNC session,
that password will be sent in the clear. If you only use Valence
on your home network with a WPA-secured wireless access point, this
is probably acceptable since everything is being encrypted by your
wireless network.
-
Valence stores your VNC passwords on your Android device in
an encrypted format. However, since it is necessary for Valence
itself to possess the means to decrypt these passwords, this
is only a deterrent to the most casual snooping. A determined and
skilled criminal with physical access to your phone could still
uncover your stored VNC passwords.
Miscellaneous comments
What does the name Valence mean?
The name Valence has the letters V, N, and C, so it seemed like
an appropriate name for a VNC client. In chemistry,
"valence"
refers to an atom's capacity for joining with other atoms to form
compounds by sharing electrons. This connection of atoms using their
valence electrons is called a covalent bond.
In much the same way that valence helps hold the universe together,
I hope that Valence helps bring your home electronics together.


Login to your Dashboard. So you can search movies that you would like to watch.
This product uses the TMDb API but is not endorsed or certified by TMDb.


--- layout: page styles: - /css/main.css - /css/ball/main.css title: CSS Ball favicon: /ball/favicon.ico --- {% assign ball = site.data.ball.2022 %}
This year's Ball will take place at Fazeley Studios - a gorgeous renovated church in the heart of Digbeth. We'll have exclusive access to various different rooms and facilities, including a bar, private courtyard, dining room, and of course the obligatory dancefloor.
For the first time at a CSS Ball, we have our very own DJ!
Pritchy (Mama Rouxs, Tekno, etc.) will be running the dancefloor through the night, bringing good vibes only!
{{ qanda.answer }}


glance-replicator¶
Replicate images across multiple data centers¶
| Author: |<EMAIL_ADDRESS>|
|---|---|
| Date: | 2014-01-16 |
| Copyright: | OpenStack LLC |
| Version: | 2014.1 |
| Manual section: | 1 |
| Manual group: | cloud computing |
SYNOPSIS¶
glance-replicator <command> [options] [args]
DESCRIPTION¶
glance-replicator is a utility can be used to populate a new glance server using the images stored in an existing glance server. The images in the replicated glance server preserve the uuids, metadata, and image data from the original.
COMMANDS¶
- help <command>
- Output help for one of the commands below
- compare
- What is missing from the slave glance?
- dump
- Dump the contents of a glance instance to local disk.
- livecopy
- Load the contents of one glance instance into another.
- load
- Load the contents of a local directory into glance.
- size
- Determine the size of a glance instance if dumped to disk.
OPTIONS¶
- -h, –help
- Show this help message and exit
- -c CHUNKSIZE, –chunksize=CHUNKSIZE
- Amount of data to transfer per HTTP write
- -d, –debug
- Print debugging information
- -D DONTREPLICATE, –dontreplicate=DONTREPLICATE
- List of fields to not replicate
- -m, –metaonly
- Only replicate metadata, not images
- -l LOGFILE, –logfile=LOGFILE
- Path of file to log to
- -s, –syslog
- Log to syslog instead of a file
- -t TOKEN, –token=TOKEN
- Pass in your authentication token if you have one. If you use this option the same token is used for both the master and the slave.
- -M MASTERTOKEN, –mastertoken=MASTERTOKEN
- Pass in your authentication token if you have one. This is the token used for the master.
- -S SLAVETOKEN, –slavetoken=SLAVETOKEN
- Pass in your authentication token if you have one. This is the token used for the slave.
- -v, –verbose
- Print more verbose output
- Glance bugs are tracked in Launchpad so you can view current bugs at OpenStack Glance


[1]
hybrid touch screen lcd no transferring to access.
[2]
hybrid touch screen lcd no transferring to replicate extremely poor camera because you should not waste your time or momey.


BAXTER A film review by Thomas E. Billings Copyright 1991 Thomas E. Billings
Synopsis: The story of a dog, a bull terrier, who goes through a succession of owners in search of an authoritarian master. A black comedy/satire that explores the strange things that people do. The film is thought-provoking, but not very entertaining.
France (English subtitles), color, 1991, 82 minutes. Director: Jerome Boivin
The screenplay for this film was written by the Director and Jacques Audiard, and is based on the novel "Hell Hound", by Ken Greenhall. (I haven't read the book, so cannot comment on how the film relates to the book). The film is the story of Baxter, a dog, a bull terrier. Perhaps I should identify the bull terrier breed; the dog in the beer ads, "Spuds McKenzie, Party Animal", is a bull terrier.
The story is told from Baxter's viewpoint, with extra scenes added that Baxter does not appear in, to complete the story. Some scenes are shot from Baxter's point of view, i.e., close to the ground. The story is narrated by Baxter, who relates his thoughts and plans.
The story begins as Baxter is taken from a breeding kennel and given to an old woman. Baxter quickly tires of living with the old woman, because he wants discipline; he wants to obey, and the old woman will not discipline him. Baxter looks across the street at the young couple moving in; their liveliness and strong smells excite him.
The old woman suffers from two mysterious accidents (were they arranged by Baxter?), and Baxter is given to the young couple. That arrangement does not last, and Baxter is given to a new, perhaps ideal owner: a young teenage boy with a Nazi fetish! The story continues as Baxter is disciplined by his new owner, who constructs a replica of Hitler's bunker in the junkyard that he plays in.
The film has some black comedy in it, and at times becomes a sharp satire on human relations and customs. Unfortunately, the film is not very entertaining; there is not much humor. Indeed, one local newspaper mini-review described it as a horror film (in some ways it is).
However, the film gives a rich insight into the personality of Baxter, and the craziness of humanity. There are layers of social commentary present, in allegorical form, to analyze. Inasmuch as Baxter is searching for someone to obey, his relationship with people can be seen as an allegory of the "fatal attraction" humanity has with totalitarianism. An alternate view is that Baxter, with his strong need to be controlled, is the "ideal citizen" for whom social and political activists are only too happy to provide control.
Because the film is not very entertaining, I would not suggest it to a general audience. If you want a film to analyze for its layers of social comment, it is worth considering.
Distribution. Now in its first U.S. theatrical run. Playing in the San Francisco area; should be available in other areas also.
Reviewer contact<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


If You require a filter feature on select element, than you need to load filterMe.js plugin & add ".filterMePlease" selector into desired select element.


- TS Playground Übung selbst machen - Toolbox ausprobieren und Übung selbst machen - Add Star Treck Background Noise: https://youtu.be/ZPoqNeR3_UA - Use Hourglass to show remaining time
- Alles komplexe auskommentieren für Md Dev für Uni wieder rein - wie funktioniert categorical_crossentropy, Algorithm - Formel Gini - Random Forest und Adaboost in Notebook - Convert mninst to observablehq notebook if possible https://beta.observablehq.com/@zaidalyafeai/an-intractive-introduction-to-tensorflow-js
Introduce yourself to your neighbor(s) and talk about
5 Minutes
How would you rank me (47) for a car with 160 km/h top speed?
Manually cluster areas of different customer types on the upper part of the handout
Make sure you draw with pressure
Generalisation, not perfect reproduction is the objective
Turn the page and redraw the lines you printed through from the first page
What do you think, is this result worse?
What would you have done differently if you had been given this information before (that it is all about generalisation)?
Train
Test
Not ideal, especially in the middle where everything mixes
Train
Test
Not so bad - we humans are good at clustering in 2-d
if age < 25:
if speed > 180:
return red
else:
return yellow
if age > 75:
return red
if km_per_year > 50:
return red
if km_per_year > 35:
return yellow
return green
approx. 43% correct predictions
approx. 43% correct predictions (guessing would be 33%)
Improve score starting from existing code
Do your work in on Jupyter Notebook 1-classic-code
We have to deal with a classification problem
A simple classic
Generated by Decision Tree ML
Simplified decsion tree
approx. 98% accuracy on train data, but only 61% on test data
Intuition: How would you make the decision boundaries more smooth
clf = DecisionTreeClassifier(max_depth=3,
min_samples_leaf=20,
min_samples_split=20)
only approx. 65% accuracy on train data, and only 59% on test data
This is what we call Underfitting
Get rid of overfitting, but avoid underfitting as much as possible
Do your work in on Jupyter Notebook 2-sklearn-decision-trees
clf = DecisionTreeClassifier(max_depth=6,
min_samples_leaf=10,
min_samples_split=10)
only approx. 77% accuracy on train data, but also 68% on test data
Sweet Spot, notice the similarity to our hand crafted tree?
Gini impurity is a measure of how often a randomly chosen element from the set would be incorrectly labeled if it was randomly labeled according to the distribution of labels in the subset.
The smaller the impurity, the purer (=better) is the node
https://en.wikipedia.org/wiki/Decision_tree_learning#Gini_impurity
The basis of Neural Networks
There are several activation functions you may encounter in practice:
original version simulating transition from passive to active
continuously differentiable version of step function
Mostly used for Convolutional Networks (more later)
In Theory a single hidden can approximate any function
In practice 2-3 hidden layers seem optimal
Convolutional Networks often have more than 100 layers (more on that later)
Understanding the Basics of Neural Networks
Make some sense of artificial neurons and neural networks using the TensorFlow Playground
Using TensorFlow and Keras
inputs = Input(name='input', shape=(3, ))
x = Dense(100, name='hidden1', activation='relu')(inputs)
x = Dense(100, name='hidden2', activation='relu')(x)
predictions = Dense(3, name='softmax', activation='softmax')(x)
The loss is calculated from the difference between the softmax output and the known true category
categorical_crossentropy
is the algorithm to calculate this loss
model = Model(input=inputs, output=predictions)
model.compile(optimizer='adam',
loss='categorical_crossentropy',
metrics=['accuracy'])
adam
is the algorithm to minimize loss
# splitting test from training data
X_train, X_test, y_train, y_test =
train_test_split(X, y, test_size=0.4)
# convert the numerical encoding of category
# to one hot to match softmax
y_train_categorical = to_categorical(y_train, 3)
# kick off training for 1000 iterations
model.fit(X_train, y_train_categorical, epochs=1000)
All the weights of a the neurons
model.summary()
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
input (InputLayer) (None, 3) 0
_________________________________________________________________
hidden1 (Dense) (None, 100) 400
_________________________________________________________________
hidden2 (Dense) (None, 100) 10100
_________________________________________________________________
softmax (Dense) (None, 3) 303
=================================================================
Total params: 10,803
Trainable params: 10,803
Non-trainable params: 0
_________________________________________________________________
(Stochastic) Gradient Descent (SGD)
Minimizing the error by changing the trainable parameters
For just 2 parameters you can image a scenary with hills and you try to find the deepest valley
http://www.benfrederickson.com/numerical-optimization/
A too high learning rate might miss the mimimum, a too low one might be slow
from keras.layers import Dropout
x = Dense(100, name='hidden1', activation='relu')(inputs)
x = Dropout(0.15)(x)
x = Dense(100, name='hidden2', activation='relu')(x)
x = Dropout(0.15)(x)
Configure a deep neural network to solve our problem
Do your work in 4-keras-tensorflow-nn
only approx. 79% accuracy on train data, but also 77% on test data
Boundaries even more smooth
drop_out = 0.15
inputs = Input(name='input', shape=(3, ))
x = Dense(100, name='hidden1', activation='relu')(inputs)
x = Dropout(drop_out)(x)
x = Dense(100, name='hidden2', activation='relu')(x)
x = Dropout(drop_out)(x)
x = Dense(100, name='hidden3', activation='relu')(x)
x = Dropout(drop_out)(x)
predictions = Dense(3, name='softmax', activation='softmax')(x)
Optional
Like classifying images
https://twitter.com/chrisalbon/status/907028933693947904?s=03
Cray X-MP
Supercomputer (1982)
Titan 5 im Gamer PC (2017)
For all real problems you will need powerful GPU(s)
And even then you might have to wait several minutes, hours, days, or even weeks for the result of a single training run
To make matters worse: TensorFlow only supports NVIDIA GPUs and installation of drivers is no fun
We restrict ourselves to basic examples on the web that work with any GPU
Additionally...
There are a number of specialized neural network layers
You might know from Photoshop etc., used in Convolutional Neural Networks
Exploring the different types layers together
Use the model builder to experiment on the MNIST data set
Use tensorflow.js to experiment on the MNIST data set
https://djcordhose.github.io/ai/js/mnist
docs/js/mnist
model.js
Reference: https://js.tensorflow.org/api/0.8.0/
Machine Learning is the engine, but your data is the fuel
Again, discuss with your neighbor(s) - do you know a problem or data you could tackle with Machine Learning or more generally AI
Please create a DRAWING of your ideas to encourage a more open mindset
-


December 12, 2015 – December 19, 2015
Overview
6 Active Pull Requests
7 Active Issues
1 Pull request merged by 1 person
- Merged #3425 Spelling fixes
5 Pull requests proposed by 4 people
- Proposed #3429 Fix canonical URI path quoting for S3
- Proposed #3431 Allow s3 bucket lifecycle policies with multiple transitions
- Proposed #3432 Update docs for deprecate_activity_type
- Proposed #3436 BF(PY3): use except ... as syntax instead of except ...,
- Proposed #3438 Add encryption capability to AMI copy
1 Issue closed by 1 person
- Closed #3437 404 error with tinys3; works with boto and aws
6 Issues created by 5 people
- Opened #3435 Please release 2.38.1 or 2.39 of good old boto
- Opened #3434 Die when run on Python 3
- Opened #3433 Config masks exceptions from ConfigParser
- Opened #3428 Updating load balancers on an existing autoscaling group does not change anything
- Opened #3427 [Feature Request] - Add support for encrypted EBS boot volumes
- Opened #3426 [Question] shouldn't `validate_certs=None` be `validate_certs=False`?
12 Unresolved conversations
Sometimes conversations happen on old items that aren’t yet closed. Here is a list of all the Issues and Pull Requests with unresolved conversations.
- 2 new comments Open #3402 No support for multiple s3 lifecycle transitions
- 1 new comment Open #3368 Getting "AttributeError: 'IAMConnection' object has no attribute 'create_policy'" while creating IAM Policy using Boto SDK Script
- 1 new comment Open #2534 Keyring support for profiles not working
- 1 new comment Open #2956 Managed Policies Support
- 1 new comment Open #3110 UnexpectedHTTPResponseError with Python3
- 1 new comment Open #3309 add a deactivate feature for datapipeline
- 1 new comment Open #2506 boto.manage.task no longer works
- 1 new comment Open #2409 SSL Timeout on S3 get_contents_to_file
- 1 new comment Open #2637 check whether query_auth is true before adding x-amz-security-token when run using an IAM role
- 1 new comment Open #2857 Fix #2836: Do not validate SSL certificates against hostnames when validation is not enabled
- 1 new comment Open #2973 Add support to associate VPC to private hosted zone
- 1 new comment Open #3052 Fix deserialization of a CloudFormation template's NoEcho value.


| DOSE: |
15 mg |
smoked |
5-MeO-DMT |
(powder / crystals) |
I'd been reading up on the effects of 5-meo-dmt for quite some time, and after doing what I considered an acceptable amount of research, I decided to give it a try. I got ahold of 30mg of the substance and loaded about half into a regular glass pipe, tossed on some headphones, flipped the C.D. to Tori Amos' Juarez (which is a very tribal song with a lot of drums), and plopped down on the couch. I was in a very comfortable setting, at a good friend's house with a lot of very experienced trippers, so I had little to no anxiety when I lit the leaves.
I inhaled as much as I could handle of the smoke, which was actually relatively pleasant tasting since it was mixed with mint leaves. As the substance entered my lungs I instantly started to feel very fuzzy. I could quite clearly picture my aura going from its usual bright purple to a kind of colorful static. I perceived it as looking like the television static, only in purple, green, and pink instead of black and white.
I held it in for about 25 seconds, and then exhaled. Upon exhalation this intense rush of color washed over my vision. A very pastel purple was swirling with lime green in front of my eyes, and everything else in the room became very distant except for the ceiling, which began to drip down like liquid stalicites.
About 30 seconds later I was transported to an ancient desert with an indian shaman. We didn't speak, but merely sat around a fire and basked in the light of a full moon (it is worth mentioning that the song I was listening to is about the deserts of Juarez). This lasted for what I'm told couldn't have been more that three minutes, but it felt like at least an hour.
As I began to come too I remember being very shocked to realize that I was listening to music, as I'd spent the last few minutes AS the music. This is fairly difficult to describe, but I could hear the notes and the drums and the lyrics, but I had no perception of what hearing was. I just was the music. It was like it came from inside of me, except there was no inside of me. I just WAS this song.
I've done 5-meo-dmt since then (although I've started referring to it as Matrix because it's real name is too long, and smoking it is like going through the matrix), and have always had very pleasant experiences. I've found that the background noises make a rather large difference in the kind of trip I have though. Tori Amos playing sends me off on shamanistic journeys, Poe takes me back to the earth spirit, and if I'm listening to other people talking in the room I just tend to go somewhere I can only refer to as 'elsewhere.' Of all the many substances I've consumed, Matrix is still my favorite.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


{% import 'molecules/related-posts.html' as related_posts with context %} {% for block in page.sidefoot %}


Qt Quick Examples - Toggle Switch
This example shows how to create a reusable switch component in QML.
The code for this example can be found in the examples/quick/customitems/slideswitch
directory.
The objects that compose the switch are:
- a
on
property (the interface to interact with the switch), - two images (the background image and the knob),
- two mouse regions for user interation (on the background image and on the knob),
- two states (an on state and an off state),
- two functions or slots to react to the user interation (
toggle()
anddorelease()
), - and a transition that describe how to go from one state to the other.
Switch.qml
import QtQuick 2.0 Item { id: toggleswitch width: background.width; height: background.height property bool on: false function toggle() { if (toggleswitch.state == "on") toggleswitch.state = "off"; else toggleswitch.state = "on"; } function releaseSwitch() { if (knob.x == 1) { if (toggleswitch.state == "off") return; } if (knob.x == 78) { if (toggleswitch.state == "on") return; } toggle(); } Image { id: background source: "background.png" MouseArea { anchors.fill: parent; onClicked: toggle() } } Image { id: knob x: 1; y: 2 source: "knob.png" MouseArea { anchors.fill: parent drag.target: knob; drag.axis: Drag.XAxis; drag.minimumX: 1; drag.maximumX: 78 onClicked: toggle() onReleased: releaseSwitch() } } states: [ State { name: "on" PropertyChanges { target: knob; x: 78 } PropertyChanges { target: toggleswitch; on: true } }, State { name: "off" PropertyChanges { target: knob; x: 1 } PropertyChanges { target: toggleswitch; on: false } } ] transitions: Transition { NumberAnimation { properties: "x"; easing.type: Easing.InOutQuad; duration: 200 } } }
Walkthrough
Interface
property bool on: false
This property is the interface of the switch. By default, the switch is off and this property is false
. It can be used to activate/deactivate the switch or to query its current state.
In this example:
Item { Switch { id: mySwitch on: true } Text { text: "The switch is on" visible: mySwitch.on == true } }
the text will only be visible when the switch is on.
Images and user interaction
Image { id: background source: "background.png" MouseArea { anchors.fill: parent; onClicked: toggle() } }
First, we create the background image of the switch. In order for the switch to toggle when the user clicks on the background, we add a MouseArea as a child item of the image. A MouseArea
has a onClicked
property that is triggered when the item is clicked. For the moment we will just call a toggle()
function. We will see what this function does in a moment.
Image { id: knob x: 1; y: 2 source: "knob.png" MouseArea { anchors.fill: parent drag.target: knob; drag.axis: Drag.XAxis; drag.minimumX: 1; drag.maximumX: 78 onClicked: toggle() onReleased: releaseSwitch() } }
Then, we place the image of the knob on top of the background. The interaction here is a little more complex. We want the knob to move with the finger when it is clicked. That is what the drag
property of the MouseArea
is for. We also want to toggle the switch if the knob is released between state. We handle this case in the dorelease()
function that is called in the onReleased
property.
States
states: [ State { name: "on" PropertyChanges { target: knob; x: 78 } PropertyChanges { target: toggleswitch; on: true } }, State { name: "off" PropertyChanges { target: knob; x: 1 } PropertyChanges { target: toggleswitch; on: false } } ]
We define the two states of the switch:
- In the on state the knob is on the right (
x
position is 78) and theon
property istrue
. - In the off state the knob is on the left (
x
position is 1) and theon
property isfalse
.
For more information on states see Qt Quick States.
Functions
We add two JavaScript functions to our switch:
function toggle() { if (toggleswitch.state == "on") toggleswitch.state = "off"; else toggleswitch.state = "on"; }
This first function is called when the background image or the knob are clicked. We simply want the switch to toggle between the two states (on and off).
function releaseSwitch() { if (knob.x == 1) { if (toggleswitch.state == "off") return; } if (knob.x == 78) { if (toggleswitch.state == "on") return; } toggle(); }
This second function is called when the knob is released and we want to make sure that the knob does not end up between states (neither on nor off). If it is the case call the toggle()
function otherwise we do nothing.
For more information on scripts see JavaScript Expressions in QML Documents.
Transition
transitions: Transition { NumberAnimation { properties: "x"; easing.type: Easing.InOutQuad; duration: 200 } }
At this point, when the switch toggles between the two states the knob will instantly change its x
position between 1 and 78. In order for the knob to move smoothly we add a transition that will animate the x
property with an easing curve for a duration of 200ms.
For more information on transitions see Animation and Transitions in Qt Quick.
Usage
The switch can be used in a QML file, like this:
Switch { anchors.centerIn: parent; on: false }


George Holt
Engineer, Technical Program Manager, People Manager, Leader
- 16+ years of experience in the software industry as a PM, Dev, and Tester.
- Sees the big picture, drives planning, and keeps the team aligned.
- Designs efficient and engaging user experiences.
- Solves ambitious, complex, and ambiguous problems.
- Communicates effectively with customers, engineers, and leaders of all levels.
- Strong leader capable of motivating and energizing top talent.
- Drives decisions with data modeling and analysis.
- Makes strong technical contributions (e.g. developer tools, kernel debugging).
- Contributed to many products - including every release of Windows from XP to Win 10.
- Experienced public speaker. Example from Build 2011
View the source for this website on GitHub.
It's not anything fancy (built out of sticks, mud, and Bootstrap) but it's mine.


Terms and Conditions
Definition
- User refers to the party to who is using ChartsDemo1™.
- ChartsDemo1™ refers to the product or application known as ChartsDemo1™.
- Cloud refers to the back-end processing and data storage system.
- Company refers to Vyper Logix Corp. (et al.)
- User refers to those who use the Software.
- The terms and conditions are valid for any goods or services provided by the Software to the User.
- Those who use the Software are doing so at their own risk with absolutely no guarantees of any kind either expressed or implied.
- The User shall bear responsibility for ensuring that all usage of information provided by the Software is in accordance with and does not contravene any Data Protection or other laws, regulations or other trade customs and practices. Company bears no liability for any omissions or faults in these respects.
- Users may be required to pay to use this application based on actual usage.
- Company warrants that it has the right to provide the Software and Service but otherwise the Software and Service are provided on an "as-is" basis without warranty of any kind, express or implied, oral or written including, without limitation, the implied conditions of merchantable quality, fitness for purpose and description, all of which are specifically and unreservedly excluded. In particular, but without limitation, no warranty is given that the Goods are suitable for the purposes intended by the Client.
- Company warrants that the Software and Service will be supplied using reasonable care and skill. Company does not warrant that the Software and Service supplied are error-free, accurate or complete.
- Both parties warrant that they are registered under the Data Protection Act in respect of the collection, processing and use of the Software and Service. Each party will comply with the Act including but not limited to its obligations in respect of any personal data which it may supply to or receive from the other party.
- Company shall not be liable for any claim arising out of the performance, non-performance, delay in delivery of or defect in the Software and Service nor for any special, indirect, economic or consequential loss or damage howsoever arising or howsoever caused (including loss of profit or loss of revenue) whether from negligence or otherwise in connection with the supply, functioning or use of the Software and Service. Any liability of Company shall in any event be limited to the license fees paid by the Client in the year in which the event of default arises and then only when the User notifies in-writing Company a minimum of 90 days in advance of whatever problem may have occurred.
- Nothing herein shall limit either party's liability for death or personal injury arising from the proven negligence by itself or its employees or agents.
- The User shall fully indemnify Company against any liability to third parties arising out of the User's use of the Software and Service.


ngin3D Animation (for Movement of Actors, not artist-defined Actor animation).
Overview
ngin3D is an alternative to Android Animation as a method for changing the
properties of an Actor (position, rotation etc.) over time.
A key use of ngin3D animation is the loading and playing of animations
of 2D Actors in 3D space, authored in Adobe After Effects.
Important
ngin3d Animation is not the way that animated Actors designed
in 3ds Max or Blender are animated.
That animation is Glo3D Animation and is controlled by methods such as
myActor.play().
ngin3D animation affects the position, rotation, scaling of the Actor
as a whole, not the pre-defined animation within the Actor.


Launch Gogs on LunaNode
To get started, enter your API key details below. You'll need to first create an API key.
The following IP address has been reserved on your account: .
Please point your hostname to this IP, and then enter the hostname below.
Almost there! Just need a few final details before provisioning your VM:
Your VM has launched successfully, and Gogs is being setup! After one or two minutes, it'll be ready at . Once Gogs is online, register an account to get started (the first account receives admin access)!
To upgrade Gogs when needed, SSH into your VM and run sudo /root/upgrade.sh.
This may take a few seconds, please be patient...


echo $header ?>
An attempt to query echo $comonode?> has failed.
Please ensure hostname and port are correct and try again.
echo $footer ?>


programmable completion (autocomplete) for the bash shell
bash-completion extends bash's standard completion behavior to achieve complex command lines with just a few keystrokes. This project was conceived to produce programmable completion routines for the most common Linux/UNIX commands, reducing the amount of typing sysadmins and programmers need to do on a daily basis.
The programmable completion feature in Bash permits typing a partial command, then pressing the [Tab]
key to auto-complete the command sequence.
If multiple completions are possible, then [Tab]
lists them all.
apt-get install bash-completion
yum install bash-completion


public interface PriorityQueue<E>
extends java.util.Set<E>
add()
, changePriority()
,
removeFirst()
, and getFirst()
method calls.
There are several important differences between this interface and
the JDK PriorityQueue
:
double
values
as priorities for queue elements, while
java.util.PriorityQueue
uses either the elements'
natural order (see Comparable
) or a Comparator
.double
s represent higher
priorities; in java.util.PriorityQueue
, lesser
elements (with respect to the specified ordering) have higher
priorities.java.util.PriorityQueue
, that's not possible.BinaryHeapPriorityQueue
, is roughly 2x slower
than java.util.PriorityQueue
in informal benchmark
testing.BinaryHeapPriorityQueue
and nearly as
fast as PriorityQueue
, it does not support removing or
changing the priority of an element.
On the other hand, this interface and PriorityQueue
also have some characteristics in common:
| Modifier and Type | Method and Description |
|---|---|
boolean |
add(E key,
double priority)
Convenience method for if you want to pretend relaxPriority doesn't exist,
or if you really want to use the return conditions of add().
|
boolean |
changePriority(E key,
double priority)
Changes a priority, either up or down, adding the key it if it wasn't there already.
|
E |
getFirst()
Finds the object with the highest priority and returns it, without
modifying the queue.
|
double |
getPriority()
Gets the priority of the highest-priority element of the queue
(without modifying the queue).
|
double |
getPriority(E key)
Get the priority of a key.
|
boolean |
relaxPriority(E key,
double priority)
Increases the priority of the E key to the new priority if the old priority
was lower than the new priority.
|
E |
removeFirst()
Finds the object with the highest priority, removes it,
and returns it.
|
java.util.List<E> |
toSortedList() |
java.lang.String |
toString(int maxKeysToPrint)
Returns a representation of the queue in decreasing priority order,
displaying at most maxKeysToPrint elements.
|
E removeFirst()
E getFirst()
double getPriority()
double getPriority(E key)
key
- The object to assessboolean add(E key, double priority)
Warning: The semantics of this method currently varies between implementations. In some implementations, nothing will be changed if the key is already in the priority queue. In others, the element will be added a second time with the new priority. We maybe should at least change things so that the priority will be change to the priority given if the element is in the queue with a lower priority, but that wasn't the historical behavior, and it seemed like we'd need to do a lot of archeology before changing the behavior.
boolean changePriority(E key, double priority)
key
- an E
valueboolean relaxPriority(E key, double priority)
java.util.List<E> toSortedList()
java.lang.String toString(int maxKeysToPrint)
maxKeysToPrint
- The maximum number of keys to print. Less are
printed if there are less than this number of items in the
PriorityQueue. If this number is non-positive, then all elements in
the PriorityQueue are printed.


--- title: "[Understanding Analysis by Stephen Abbott] - [Chapter 2 Sequences and Series] - [2.5 Subsequences and the Bolzano-Weierstrass Theorem]" published: true tags: RealAnalysis ---
Definition 2.5.1 Let \((a_n)\) be a sequence of real numbers, and let \(n_1 < n_2 < n_3 < n_4 < n_5 < ...\) be an increasing sequence of natural numbers. Then the sequence $$ (a_{n_1}, a_{n_2}, a_{n_3}, a_{n_4}, a_{n_5},...) $$ is called a subsequence of \((a_n)\) and is denoted by \((a_{n_k})\), where \(k \in N\) indexes the subsequence.
Theorem 2.5.2 Subsequences of a convergent sequence converge to the same limit as the original sequence.
Proof. Assume \((a_n) \to a\), and let \(a_{n_k}\) be a subsequence. Given \(\epsilon > 0\), there exists \(N\) such that \(|a_n - a| < \epsilon\) whenever \(n \geqslant N\). Because \(n_k \geqslant k\) for all \(k\), the same \(N\) will suffice for the subsequence; that is, \(|a_{n_k} - a| < \epsilon\) whenever \(k \geqslant N\)
Theorem 2.5.5 Bolzano-Weierstrass Theorem. Every bounded sequence contains a convergent subsequence
Proof. Let \((a_n)\) be a bounded sequence so that there exists \(M > 0\) satisfying \(|a_n| \leqslant M\) for all \(n \in M\). Bisect the closed interval \([-M, M]\) into the two closed intervals \([-M, 0]\) and \([0, M]\). (THe midpoint is included in both halves.) Now, it must be that at least one of these closed intervals contains an infinite number of the terms in the sequence \(a_n\). Select a half for which this is the case and label the interval as \(I_1\). Then let \(a_{n_1}\) be some term in the sequence \(a_n\) satisfying \(a_{n_1} \in I_1\).
Next, we bisect \(I_1\) into closed intervals of equal length, and let \(I_2\) be a half that again contains an infinite number of terms of the original sequence. Because there are an infinite number of terms from \((a_n)\) to choose from, we can select an \(a_{n_2}\) from the original sequence with \(n_2 > n_1\) and \(a_{n_2} \in I_2\). In general, we construct the closed interval \(I_k\) by taking a half of \(I_{k-1}\) containing an infinite number of terms of \((a_n)\) and then select \(n_k > n_{k - 1} > \cdot \cdot \cdot > n_2 > n_1\) so that \(a_{n_k} \in I_l\)
We want to argue that \(a_{n_k}\) is a convergent subsequence, but we need a candidate for the limit. The sets $$ I_1 \supseteq I_2 \supseteq I_3 \supseteq \cdot \cdot \cdot $$ form a nested sequence of closed intervals, and by the Nested Interval Property there exists at least one point \(x \in R\) contained in every \(I_k\). This provides us with the candidate we were looking for. It just remains to show that \(a_{n_k} \to x\)
Let \(\epsilon > 0\). By construction, the length of \(I_k\) is \(M(1/2)^{k - 1}\) which converges to zero. Choose \(N\) so that \(k \geqslant N\) implies that the length of \(I_k\) is less than \(\epsilon\). Because \(x\) and \(a_{n_k}\) are both in \(I_k\), it follows that \(|a_{n_k} - x| < \epsilon\)


{% extends 'tests/base.html' %} {% block content %}
{{class.average_score}}
{{class.section_name}}
Class Id: {{class.id}}
You must have Tutor-level access to view this page.


Github
Dear Github,
Thank you for making life so much easier. At first, I didn’t really know what to make of you, your purpose was obscure, your method seemingly complicated. But as we’ve spent more time together my love for you has grown. I can’t ever imagine working on a team project without you. Your ability to pull and merge files is unmatched. I don’t know how I ever collaborated on code before you came into my life. I look forward to many more repositories in our future.
Sincerely,
Aidan


Survey Form
Here is a short form to know you better
Enter your name:
Enter your email:
Enter your age:
Which language do you love the most?
Select an option
HTML
CSS
Javascript
PHP
Why did you start?
Start to school
Fall in love with code lately
I'm just curious
Which website(s) do you use in order to learn by yourself?
FreeCodeCamp
Code Academy
Open Classroom
Want to tell us more?


{% autoescape true %}
Built using by @siddhantgoel
This site is in no way affiliated with Stack Exchange, Stack Overflow or any of their family of sites.
The search results presented on this page are retrieved using the Stack Exchange API.
The Stack Overflow name and logos are trademarks of Stack Exchange Inc.


--- layout: conference title: "Technology Plan" permalink: "/conference/2020/technology-plan/" tag: MEC2020 id: technology-plan ---
This page will be updated in the days leading up to the event. Questions can be directed to music-encoding2020 at conftool.net.
The 2020 Music Encoding Conference will be run as a virtual event.
We will use Zoom and Slack for conference attendance. All presenters and registered attendees will receive details about joining via Zoom and Slack in advance of the event, and are welcome to join the Zoom meeting to follow the Keynotes, Paper “Slam” Sessions, and Town Hall meetings. Both the discussions following the Paper “Slam” Sessions, and the Interest Group meetings will be held via Slack.
In order to foster discussion and questions, presenters’ papers will be made available for attendees to read a few days prior to the event in a temporarily shared Google Drive folder. We encourage presenters and attendees alike to join the Humanities Commons Music Encoding Initiative group, where presenters’ papers will be deposited and accessible even after the event.
In addition to these platforms, we encourage community backchannel conversation – before, during, and after the conference – on Slack and Twitter (#MEC2020).
For easy reference, you can view and download iCalendar files for daily conference events:
Tuesday 26 May 2020 - Workshop Day Wednesday 27 May 2020 Thursday 28 May 2020 Friday 29 May 2020Concise schedule with links to Zoom and Slack channels.
All workshops are full at this time. A wait-list has been created and participants who identified interest in a workshop will be notified if seats open up.
If you registered for one or more workshops, you will receive an email with details on how to join the Zoom session. The workshops will not be recorded.
All registered attendees are welcome to join the Zoom meeting. You do not have to have a Zoom account or client installed on your computer. You can join the meeting in your browser. Details will be provided to all participants via email shortly before the event.
After the keynote presentation, there will be time for a few questions from the audience. A discussion period will be held in Slack following the Paper “Slam” sessions.
We are using the Music Encoding Initiative Slack for the conference. Please join by visiting this link. After joining you will receive an email confirmation. If you do not see it in your inbox, check your spam folder. You will need to confirm through this email before being able to join the group.
If you are new to Slack, please review this "Getting Started" tutorial.
Attendees will be able to meet in Slack to discuss presentations from the Paper “Slam” sessions (Wednesday 27 May and Thursday 28 May). Slack discussion groupings will be identified in the program.
Interest Group meetings (Thursday 28 May and Friday 29 May) will occur in Slack at the following channels:
Attendees and presenters are required to join the Music Encoding Initiative Slack to view and participate in this space. All participants can use the #mec2020-townhall channel if they’d like to test out using Slack, ask technical questions, or have general inquiries about the event. This channel will also be used to post announcements during the event.
Discussion and sharing is encouraged via Twitter using #MEC2020.
For assistance with Zoom or Slack during the conference, there are several ways you can request support.


Toggle navigation
Analyzing Reddit Behaviour
Dashboard
Charts
Dataset Word Cloud
Subreddit Word Clouds
Machine Learning
Subreddit Word Clouds
Most used words in /r/{{ sub }}


Block quote 1 This is my first block quote.
This is my first block quote.
Block quote 2 This is my second block quote.
This is my second block quote.


--- layout: post cover: 'assets/images/cover6.jpg' title: Consulting Services date: 2016-01-17 10:31:00 tags: services subclass: 'post tag-technical tag-content' categories: 'dlwhitehurst' navigation: True logo: 'assets/images/blog-logo.png' ---
CI Wise is the corporate entity that defines me, the founder David L. Whitehurst. I've been instructing computing machines since 1984. I've used languages like SAS, Forth, COBOL, Fortran, Pascal, Basic, Visual Basic, C, C++, Java, Perl, Python, Groovy, Ruby, Scala, and Javascript. I've written web applications for user clients like BMW North America, Honda, Acura, Volkswagen, Audi, Porsche, Owens Corning, Lenscrafter, Michael J. Fox Foundation, Charles Schwab, RBC Bank, State Farm, AllState, Nationwide, NC Department of Agriculture, and the North Carolina Department of Transportation. I have performance tuned the shared Confluence wiki for Yale, Princeton, and Rutgers Universities. I set up JBoss development environments on datacenter infrastructures for the Oklahoma State Bureau of Investigation and the North Carolina Department of Transportation.
Our expertise is Open Source Enterprise software development. Do you have plans to build something for your company? Are you open to hear about the benefits of open source software? Do you know that you can use open source in proprietary software? Contact us for an initial consultation at no charge to you.
Contact us today. We want you to realize your dreams and value us as a partner in the collaborative design of your next big thing. As CEO of CI Wise, I want to personally guarantee your satisfaction with us and our work. Call me directly at<PHONE_NUMBER>. My name is David L. Whitehurst and I'll take your calls as long as I can. And, if I don't answer directly, please leave me a message. I will get back to you.


--- title: Discrete Time Models Using ctsem? author: Charles Driver date: 'July 2023' lastmod: 2023-07-13T18:33:24+01:00 slug: dtbivariate output: html_document featured: no image: caption: '' preview_only: no ---
The ctsem marketing department seems to have done a poor job getting out the message that all of the dynamic systems stuff of ctsem – fluctuating / coupled latent processes over time, intervention effects, higher order models, simple and complicated forms of heterogeneity across subjects and or time, latent interactions / state dependent parameters – are also possible in the computationally simpler discrete time (e.g. vector autoregression / structural equation model) setting. Whether this is adviseable, or maybe just a neat stepping stone, depends on how you think about your constructs of interest and what you want to infer about them. For some elaboration on the treatment of time, consider https://osf.io/xdf72/
For this example, we have collected data from workers starting a new job. The data include measures of stress, and quality of the employees output. We are interested in a) how stress and quality change from the beginning of the job, b) whether there is any evidence for one process causing the other, and c) to what extent there are individual differences in the start and long term levels of each, and if / how the individual differences are related. Disclaimer: This is a very limited / stylised / toy example to show some of the ctsem basics, for real problems please do much more.
The following block loads the ctsem library then generates the data – interesting for some but less interesting for others so perhaps skip!
set.seed(1)
library(ctsem)
#generating data - can ignore
set.seed(3)
gm <- ctModel(LAMBDA=matrix(c(
1,0,
.8,0,
0,1),ncol=2),
MANIFESTVAR = diag(.5,3),
DIFFUSION=matrix(c(.8,.5,0,.2),2,2),
DRIFT=c(
-.5,0,
-.3,-.2),
T0MEANS = c(20,-10),
TRAITVAR=matrix(c(1,.7,0,.2),2,2),
Tpoints=10,manifestNames = c('Stress','Stress2','Quality'))
## [,1]
## [1,] "20"
## [2,] "-10"
## [,1] [,2]
## [1,] "-0.5" "0"
## [2,] "-0.3" "-0.2"
dat <-data.frame(ctGenerate(ctmodelobj = gm,n.subjects = 100,burnin = 2))
head(dat)
## id time Stress Stress2 Quality
## 3 1 0 6.6351900 0.3682511 -8.475775
## 4 1 1 2.6242786 0.6501790 -11.158248
## 5 1 2 -0.3425943 0.3968806 -11.637336
## 6 1 3 -1.2786638 0.8494424 -12.036826
## 7 1 4 -1.1674515 -1.1327005 -10.259180
## 8 1 5 -1.6114791 -0.2277730 -10.375412
We specify a bivariate process model, with each process measured by a single (noisy) indicator (leaving out our second stress indicator for the time being). Intercepts (here, MANIFESTMEANS) and initial parameters (T0MEANS) default to indivdually varying, but we specify explicitly here in any case as a demonstration (using the | separator notation). In fact, we specify the entire model explicitly, while since most parameters here are freely estimated, we could have left it to ctsem defaults.
model <- ctModel(
LAMBDA = diag(2), #factor loadings / measurement structure
type = 'standt', #could also choose stanct for continuous time modelling.
manifestNames = c('Stress','Quality'),
latentNames = c('Stress','Quality'),
T0MEANS = c('t0_stress','t0_quality'), #starting values for latent processes
MANIFESTMEANS = c('mi_stress||TRUE','mi_quality||TRUE'), #intercepts on observed variables
MANIFESTVAR = c( #vectors are coerced rowwise into matrices of the right shape, 2x2 in this case
'merr_stress',0,
0,'merr_quality'),
DRIFT = c( #temporal dependence matrix, autoregression on the diagonal, cross regression off diagonal
'a11','a12',
'a21','a22'),
DIFFUSION = c( #system noise. sd's on diagonal, unconstrained correlations on lower triangle
'diff11',0,
'diff21','diff22'),
CINT = 0 #single values are repeated as many times as necessary (here, twice, one for each process)
)
#ctModelLatex(model) #view model in pdf (i.e. readable) form. Requires latex compiler
fit <- ctStanFit(datalong = dat,ctstanmodel = model, cores=2)
#ctModelLatex(fit) #view dynamic system estimates in equation form, requires latex compiler
ctKalman(fit,kalmanvec=c('y','yprior'),plot=TRUE, subjects=1:2) #forward predictions
ctKalman(fit,kalmanvec=c('y','ysmooth'),plot=TRUE, subjects=1:2) #best estimates conditional on all data
ctKalman(fit,kalmanvec=c('y','yprior'),plot=TRUE, subjects=1,removeObs = T) #predictions before seeing any data
ctStanDiscretePars(fit,plot=T)
The previous plot shows the discrete-time regression coefficients for different lags – note that this is still a first order model (sometimes called lag 1), but because of the inclusion of measurement error and the possibility for missing data, higher lag effects are relevant. Put differently, the impact of a change at one point propagates further than the next observation, these plots show that propagation.
General summary information is found with the summary function, not shown here in full.
s <- summary(fit)
print(s$popmeans,digits=1) #basic system parameters
## mean sd 2.5% 50% 97.5%
## t0_stress 6.70 0.32 6.052 6.70 7.33
## t0_quality -7.80 0.60 -8.933 -7.77 -6.67
## a11 0.63 0.01 0.612 0.63 0.65
## a12 0.03 0.02 0.004 0.03 0.06
## a21 -0.34 0.01 -0.367 -0.34 -0.31
## a22 0.87 0.02 0.829 0.87 0.91
## diff11 0.63 0.03 0.579 0.63 0.68
## diff21 1.00 0.00 1.000 1.00 1.00
## diff22 0.82 0.04 0.748 0.82 0.89
## merr_stress 0.48 0.02 0.439 0.48 0.53
## merr_quality 0.53 0.03 0.470 0.53 0.60
## mi_stress 0.44 0.35 -0.237 0.43 1.13
## mi_quality 0.57 0.63 -0.613 0.54 1.82
Amongst other things, from the above we can read off that the confidence interval for the a21 parameter – the 2nd row and 1st column of the temporal effects (DRIFT) matrix, representing the cross regression coefficient for the effect of the 1st process (stress) on the 2nd process (quality), is negative and zero is well outside the 95% confidence interval.
print(s$rawpopcorr,digits=2) #correlations between random effect parameters
## mean sd 2.5% 50% 97.5% z
## t0_quality__t0_stress 0.82 0.088 0.58 0.84 0.93 9.2
## mi_stress__t0_stress -0.73 0.064 -0.83 -0.74 -0.58 -11.4
## mi_quality__t0_stress -0.62 0.090 -0.77 -0.63 -0.42 -6.9
## mi_stress__t0_quality -0.50 0.106 -0.68 -0.51 -0.27 -4.7
## mi_quality__t0_quality -0.61 0.082 -0.76 -0.62 -0.44 -7.5
## mi_quality__mi_stress 0.91 0.024 0.85 0.91 0.95 38.4
Here, we can see that the initial levels (t0), and long term levels (mi, for the manifest intercept) all correlate, while correlations between initial levels and long term levels appear negative.
The fitted estimates can be seen in matrix representation too:
We can generate random samples of data based on our parameter estimates and compare these to our original data. The following is but one example of many possible checks, showing how the original data (in black) compares to the distribution of generated data (in red) over time, with means shown by the thicker dashed and solid lines. Based on only this plot, our estimated model looks like a very good match for the data. Which is not surprising because this is a toy example.
library(data.table)
fit <- ctStanGenerateFromFit(fit, nsamples=200, #add generated data to the fit object
fullposterior = F, cores = 2)
gendat <- as.data.table(fit$generated$Y) #extract generated data
gendat[,row:=as.integer(row)] #set the row column type appropriately
truedat <- melt(data.table(row=1:nrow(dat),dat), #get original data in melted form, ready for merging
measure.vars = c('Stress','Stress2','Quality'),variable.name = 'V1',value.name = 'TrueValue')
gendat <- merge(gendat,truedat,by = c('row','V1')) #merge original and melted data, ready for plotting
library(ggplot2)
ggplot(gendat,aes(y=value,x=time))+
stat_summary(fun.data=mean_sdl,geom='ribbon',alpha=.3,fill='red')+
stat_summary(aes(y = value), fun.y=mean, colour="red", geom="line",size=1)+
stat_summary(aes(y = TrueValue), fun.y=mean, geom="line",linetype='dashed',size=1)+
geom_line(aes(y=TrueValue,group=id),alpha=.2)+
facet_wrap(vars(V1),scales = 'free')+
theme_bw()
We can extract the residuals and or standardised residuals from the model fit using the ctKalman function, then check for autocorrelation in the residuals – correlated residuals imply there is information left that our model did not leverage, meaning that our model could be improved. Here we show the autocorrelation using a method that treats time continuously, as well as the standard discrete-time approach in R. Here again our model is doing fine, the residual autocorrelation is approximately zero, there is no information remaining from the earlier time points to predict the latter.
k=ctKalman(fit,subjects=unique(dat$id)) #get residuals and various estimates
k=k[k$Element %in% 'errstdprior',] #remove everything except the residuals
k=dcast(data = data.table(k),formula = formula('Subject + Time ~ Row')) #cast to wider format
#continuous time auto and cross correlation
library(expct) #devtools::install_github("ryanoisin/expct")
expct(dataset = k,Time = 'Time',ID = 'Subject',outcome=c('Quality'),
plot_show = T,Tpred = 1:10,k = 5) #autocorrelation of residuals
#discrete time auto correlation
acf(k$Quality,lag.max=10,plot=TRUE)
Extending to a factor model formulation, using the additional measurement of stress we obtained, looks as follows, this time relying heavily on ctsem defaults for the free parameter specifications:
factormodel <- ctModel(type = 'standt',
manifestNames = c('Stress','Stress2','Quality'),
LAMBDA = matrix(c( #factor loadings / measurement structure
1,0,
'stressLoading',0, #now with estimated factor loading for Stress2 variable
0,1),ncol=2))
If we wanted to allow for stable individual variation only in the latent processes, and not in the measurement intercept, we would need to free the latent, or continuous, intercept (CINT, because it is added at each step), restrict all but one of the manifest intercepts (MANIFESTMEANS) to zero, and remove the individual variation from the estimated manifest intercept. Like this:
factormodellatent <- ctModel(type = 'standt',
manifestNames = c('Stress','Stress2','Quality'),
LAMBDA = matrix(c( #factor loadings / measurement structure
1,0,
'stressLoading',0, #now with estimated factor loading for Stress2 variable
0,1), ncol=2),
CINT=c('cintStress','cintQuality'),
MANIFESTMEANS=c(0,'mintStress2||FALSE',0)) #note the two || and FALSE, disabling individual variation
Want to account for heterogeneity in the model parameters without going wild and adding random effects (via the ||TRUE notation) to everything? Including the initial values and or mean of the observations as moderators of the parameters is one possibility. Here we first compute initial and mean values for our dataset, then include them as time independent predictors (covariate moderators). We also allow for random effects in the free factor loading – maybe not totally sensible in this case but simply as a demonstration how to add random effects to other parameters.
require(data.table)
dat <- data.table(dat)
dat[,initialStress:=mean(c(Stress[1],Stress2[1])),by=id]
dat[,meanStress:=mean(c(Stress,Stress2)),by=id]
head(dat)
factormodellatentmod<- ctModel(type = 'standt',
TIpredNames = c('initialStress','meanStress'),
tipredDefault = TRUE, #by default, moderate all parameters
CINT=c('cintStress||||meanStress', #only moderate cintStress using meanStress
'cintQuality||||initialStress, meanStress'), #explicitly moderate via both covariates
manifestNames = c('Stress','Stress2','Quality'),
LAMBDA = matrix(c( #factor loadings / measurement structure
1,0,
'stressLoading||TRUE',0, #estimated factor loading for Stress2 variable, now as random effect
0,1), ncol=2),
MANIFESTMEANS=c(0,'mintStress2||FALSE',0)) #note the two || and FALSE, disabling individual variation
The matrices for individual differences get pretty big now, zoom in if you like…


Working at EY as Solution Engineer
Could, Automation, Secutiy & Big Data
A repo of images I create, use and (attempt to) maintain including hadoop POCs and integrations as well as my own images
Peq is a semantic fabric designed to allow business users to query disparate data sources without needing to know the exact schemas


This SRFI describes a configuration language to be used for specifying the set of Scheme features or extensions required to run a program. In addition to a list of required features, a program may also contain Scheme code to be used only when a particular feature or combination of features is available.
The configuration language is entirely distinct from Scheme; it is neither embedded in Scheme nor includes Scheme as a subset.


Request submitted by others
{% if shared_processes %}
In Progress
{% for process in processes %}
{% if process.id in shared_not_completed %}
{{ process.group_name }}-{{process.processed_time}} Policy: {{process.policy_name}}
{% endif %}
{% endfor %}
Completed
{% for process in shared_processes %}
{% if process.id not in shared_not_completed %}
{{ process.group_name }}-{{process.processed_time}} Policy: {{process.policy_name}}Delete
{% endif %}
{% endfor %}
{% endif %}


--- layout: post title: BlueDevil 1.3 released categories: - KDE - Software Libre tags: [] status: publish type: post published: true meta: _edit_last: '2' _oembed_b56610d30500cebf4498e08cb01a4ddb: "{{unknown}}" _oembed_38e3a4c3ea7a0b6fd2616228617290e3: "{{unknown}}" _oembed_d2cb3df6500530cf28ff5c77c02bcc67: "{{unknown}}" _oembed_379a76a2e3501709860ef0567e428b0c: "{{unknown}}" _oembed_c4ac9d137424a1db8c25783a24df9dcc: "{{unknown}}" _oembed_d437c6e2ca83e229470b83a55f046d81: "{{unknown}}" dsq_thread_id: '2244664352' author: login: afiestas email<EMAIL_ADDRESS>display_name: afiestas first_name: Àlex last_name: Fiestas ---
Belated release announcement of the last and most stable BlueDevil release:
List of unique changes in 1.3 final:
As always you can download it from:
http://download.kde.org/stable/bluedevil/1.3/src/bluedevil-1.3.tar.bz2
md5: 3a90e8826eb9f464084bbdafa549bf3e
sha256: 6dd3cca20da3ab89af1514717b969cf6d549ead4cd4f3b1f7b23ffe7e5d282e3
Hope you enjoy it !


Guidance
Information on school funding in the 2015 to 2016 financial year, along with allocations and details of the changes we're introducing.
PDF , 404KB , 33 pages
MS Excel Spreadsheet , 52.9KB
PDF , 395KB , 22 pages
PDF , 1.15MB , 92 pages
‘Fairer schools funding: arrangements for 2015 to 2016’ explains how we will allocate schools revenue funding in the 2015 to 2016 financial year.
‘Annex C: local authority schools block units of funding 2015 to 2016’ confirms each local authority’s funding for 2015 to 2016.
The technical note explains how we calculated the funding allocations.
The operational guide provides guidance for local authorities and schools on the changes we’ve made to school funding for 2015 to 2016.
Published: 17 July 2014
Updated: 20 March 2015


View Summary
Almost done! Tell us about the appraisal request.
What type of appraisal does the lender require?
Full Appraisal
Full Appraisal - By Plans/New Constr.
Full Appraisal - Acreage Property
Drive by
Appraisal Update
Progress Inspection
Vacant Land
Does the lender require additional assessments?
— Optional
Market Rents
As Is/As Improved
None
Please upload any construction plans and/or specifications if they are available.
Who should we contact to provide access to the property?
Borrower
Listing Agent
Condo/Strata Manager
Builder
Other
Borrower
— Number to provide access
Listing Agent
Mobile
Home
Work
Mobile
Home
Work
What language should the report be in?
English
French
Any additional information you think is important?


This is a demo with hold-music (a "wait-video") while waiting for an agent.
Be sure to check out the source code of this page (How?).
In the source, you will notice we have filled in your appKey for this demo, so adding the same functionality to your website is a matter of a copy and paste!


--- lang: en-us layout: default-en # # title: 'meem | Personal Finance' description: "Take a long overdue vacation, or maybe just a great investment opportunity. Meem's sharia compliant personal loan will be there for you." # # social-audio: social-video: social-media: - tw-summary: "Take a long overdue vacation, or maybe just a great investment opportunity. Meem's sharia compliant personal loan will be there for you." tw-title: 'meem | Personal Finance' # # permalink: /en/meem-personal-finance-en.html alt_url: /ar/meem-personal-finance-ar.html # # sitemap: exclude: 'no' ---
meem‘s personal finance is created to be simple transparent, and appropriate for customer needs. You can experience the latest entertainment system, have education expenses to pay, take long overdue vacation, or maybe just a great investment opportunity.
The product configuration has been kept simple and ensures there are no hidden fees
24/7 Mobile/internet access to allow you to be on top of you personal finance control
Amount of SAR 10,000 to SAR 1,000,000
Repayment period from 12 months to 60 months
Financing is based on murabaha principles
Early settlement is allowed
In case of death or permanent total medical disability, god forbid, all outstanding amounts will be considered paid.
With a smart and simple application form, applying for Personal Finance have never been easier


I came from a city that has no distinct change between four seasons.
I love different colors that Ann Arbor has for Spring, Summer, Fall, and Winter.
Who is Nalingna?
I am from China. I have been to America for more than three years. I love cooking and baking.
What am I doing in this semester?
I am learning Python and web design. This is my first web portfolio.
Can't be more excited!
I got married in July 2016 with Lu.
I am starting a new Master program in Health Informatics.
I am such a lucky person.