|<EMAIL_ADDRESS>323.262.4450 |
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QuarkXpress
|
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| Filemaker
Pro Word Excel UNIX vi Extensive HTML Java Familiarity |
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| Fluent
in Spanish, Italian Black and White Photography |
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Wrote curriculum and conducted computer training classes for GPS staff and students in image/text scanning, html, software and hardware applications, UNIX, ftp, and Telnet Wrote instructional guides and materials on software and desktop publishing for staff in all departments at Caltech Conducted cross-training sessions on design, html, and desktop publishing with staff at SFUSD Language Academy Trained staff at Shopsports.com and Event411.com on Photoshop, Dreamweaver, Illustrator, and other software applications Provided teachers at SFUSD with instruction on using computers and teleconferencing equipment |
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Redesigned/Restructured web sites for online sporting goods/web design company, Translated shopsports.com site into Spanish, and trained staff on Photoshop, Illustrator, Dreamweaver, and web design/html. Created page layout designs for a business to business software company offering online event planning tools Did production work for redesign of Disney on-line store Designed logos, posters, postcards, and various advertisements for Chinese Laundry Shoes Created web sites for Entergate Communications, Gilbert USA, Basicline Manufacturing Provided concept and production of page layouts and logo designs for Division of Geological and Planetary Sciences, and Seismological Laboratory at Caltech Developed site structure and page layout designs to launch first-ever web site for California Institute of Technology Served as editor and designer of the first ever GPS Alumni Newsletter Instructed staff, faculty, and students in computer training class (image/text scanning, html, software and hardware applications, UNIX, ftp, and Telnet) Designed recruitment materials such as brochure, ads, lectureship/seminar flyers, invitations, and building signage for GPS Managed installation, filing system, hardware configuration and troubleshooting of new computer systems Designed math assessment comps for RAND |
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AUGUST
2000 - PRESENT APRIL 2000
- JULY 2000 OCTOBER
1999 - APRIL 2000 NOVEMBER
1998 - OCTOBER 1999 AUGUST
1998 - NOVEMBER 1998 MAY 1998
- AUGUST 1998 DECEMBER
1993 - MARCH 1998 APRIL
1992 - JUNE 1993
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California State University, Long Beach - December 1991
Conferences:
|


* Joined the SymPy gitter chat room.
* Getting started to understand SymPy codebase. * Read documentations and examples.
* Started from easy bugs.
Detail of my contribution before GSoC
* Choosing the module/project to work on GSoC. * Started reading about previous year work
and what is expected this year. * Tried to share more and more ideas in mailing thread and gitter chat room.
My project
Application submission started. 15 March 2016 (00:00 night) when I saw the link for application
was opened. It was tight schedule for next week(because of exams and my travel). I started writing the application that night itself. I almost prepared my application that night only. It took me around 6-7 hours. I slept around 6:30AM :p
Application submission deadline was 25 march. On 16 March at the evening I shared the application docs in mailing thread for review and comment. Thanks for SymPy memebers they started reviewing and gave the feedback. I edited the application accordingly and used some tools to make docs more beautiful and clean. On 20th March I went home for Holi festival and submitted the appkication on 22th march after final review.
When I came back from home, count down started for the date of annoncement. Announcement date of the selected project was 22 april. Meanwhile I tried to fix some bugs and tried to share more details about the idea/project.
I wanted to pass these day as soon as possible. And the day 22 April came, after the college time I came to room in tensed mood. I wanted to pass the time, chess is the best thing for this. I played chess from the evening to night and late night 12:30AM selected project announced. That time made me so happy, I really saw my name many times in the site and got email from SymPy and GSoC team.
I love SymPy community and I can't open any tap on my browser without SymPy gitter chat room and mailing list, whenever I am free. I will continue my contribution and will finish my todo list as soon as possible.


Wenger Set For Talks With European Giants 'Next Week'
by SL InternationalArsene Wenger has been out of work since leaving Arsenal in 2018, but he is set to hold talks with one of Europe's biggest clubs 'next week'.
Read: Wenger Makes Big Admission Amid Return Rumours
Wenger has been keeping busy with punditry work for the UEFA Champions League and English Premier League this season.
Following the depature of Niko Kovac at Bayern Munich, Wenger's name has reportedly been thrown in the hat for the vacant role.
The former Gunners manager has now revealed he is set to talk with Bayern president Uli Hoeness next week.
"I don't have any agent, I am the only one involved in this story. Nobody can talk on my behalf," Wenger told beIN Sports.
"I have known Franz Beckenbauer, Karl-Heinz Rummenigge and Uli Hoeness for 40 years. The success of this club has been built on exceptional competency, honesty, discretion and simplicity. We always told the truth between all of us when it was necessary.
"What happened? My name came out from nowhere, without having anything with this.
"On Wednesday afternoon, Rummenigge called me, I could not answer at that moment, by politeness, I called him back. He was in his car going to the game against Olympiacos.
"We talked for four to five minutes maximum, and he told me they had assigned Flick to be the coach, he will manage the two next games, because they will play Dortmund tomorrow.
"He asked me if I would be interested because they are looking for a coach. I told him 'I haven't thought about it, I need some time to have a think about it'.
"We decided together we will talk next week because I am in Doha until Sunday night. This is the true story.
"I wish well to Bayern who are actually at a turning point, because Hoeness, key man of this club, is leaving, Rummenigge will leave in one year, it seems that the future is uncertain, and this club which always managed stuff by being very discreet and direct, is today very exposed with rumours coming from everywhere.
"For myself, I wish good luck to Bayern and for me the situation is clear."


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MINIMUM-FUEL ATTITUDE CONTROL AND STABILIZATION
OF AN INERTIALLY-ORIENTED SPACE STATION
by John Joseph Fearnsides
Dissertation submitted to the Faculty of the Graduate School of the University of Maryland in partial fulfillment of the requirements for the degree of Doctor of Philosophy 1971
fpr. v
Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.


Level 2 to 3
by Chazona Baum at MAXX Potential
Projects
REBAR
RISE
HRWIT
REBAR
My Role
Mentorship and guiding meetings
Skills/Takeaways
Communicating progress and establishing mutual understanding of additional requests
Focusing on client benefit whenever possible
Balancing helping lead developer with work on primary/secondary projects and meetings
RISE
My Role
Development and communication lead
Skills/Takeaways
Communicating with stakeholders as well as seven vendors they utilize
Coordinating and prioritizing tasks based on client requirements
Setting and communicating deadlines
When planning contingencies, factor in meetings
HRWIT
My Role
Guidance and feature integration
Skills/Takeaways
Reviewing work for quality
Communicating with stakeholders to gather necessary resources and feedback, and to make recommendations


Id = 25
Nombre Capitulo = The Menagerie
Tipo = Menagerie
Dimension = unknown
Personaje = ['https://rickandmortyapi.com/api/character/67', 'https://rickandmortyapi.com/api/character/490', 'https://rickandmortyapi.com/api/character/491']
Numero Personaje = ['67', '490', '491']
URL Locacion = https://rickandmortyapi.com/api/location/25


Two bank staff booked for swindling money from dead customer’s
by PTIA case was registered on Saturday against two employees of a nationalised bank here for allegedly swindling money to the tune of ₹25.8 lakh from the account of a deceased customer.
Police registered a case against manager Sheikh Mohideen and assistant manager Chinnadurai of Indian Overseas Bank in Vayalur here on the basis of a complaint from its Zonal manager.
When Sheikh Mohideen and Chinnadurai found that no one had come forward to claim the money deposited in theaccount of Emisola, after she died a few years ago, the duo renewed the account by forging her signature and created an ATM card, which was used to draw the money, police said.
During audit inspection, it was found that money had not been deposited in the account for the past few years, while ATM card had been used to withdraw the money.
Subsequent inquiry revealed that the account holder died a few years ago, and the Manager and the Assistant manager had renewed her account, obtained an ATM card and used it to take the money.
Cases have been registered against them for conspiracy, forging documents and fraud.


Report a bug
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Improve this page
Quickly fork, edit online, and submit a pull request for this page.
Requires a signed-in GitHub account. This works well for small changes.
If you'd like to make larger changes you may want to consider using
a local clone.
Install.sh script
Introduction
The dlang.org/install.sh script is the official D compiler version manager. It supports DMD, GDC and LDC on FreeBSD, Linux, macOS and Windows (although not every combination is available). It provides a convenient way to fetch and install a D compiler, and switch between installed versions, without requiring administrative privileges. Its features include:- Maintaining one or more portable compiler installations in a directory of choice (default ~/dlang on POSIX, %USERPROFILE%/dlang on Windows).
- Maintaining the latest stable version of the D package manager, dub.
- Self-updating via install.sh update.
- Supporting nested activation of compilers. Activating a compiler will set up the relevant environment variables, and offer means to revert the modified variables to their prior values.
- Supporting the Fish shell, in addition to Bash-compatible shells.
- Verifying binary signatures via the D keyring (automatic if gpg is installed)
- For dmd, installation of the following versions is supported:
- dmd - latest stable version
- dmd-beta - latest beta version
- dmd-nightly - the latest nightly release
- dmd-<version> - specific official release (including beta releases)
- dmd-branch - experimental compiler branches
- For ldc, installation of the following versions is supported:
- ldc - latest stable version
- ldc-beta - latest beta version
- ldc-latest-ci - latest build version (built on every commit to master by CIs)
- ldc-<version> - specific official release (including beta releases)
- For gdc, installation of the following versions is supported:
- gdc - latest stable version, Linux only
- For dub, installation of the following versions is supported:
- dub - latest stable version
- dub-<version> - specific official release (including beta releases)
- For all compilers optionally installing a different version to the bundled dub is supported:
- <compiler>,dub - selected compiler and latest stable DUB version
- <compiler>,dub-<version> - selected compiler and a specific stable DUB version
Content
Downloading the installer
Downloading on FreeBSD, Linux and macOS
mkdir -p ~/dlang && wget https://dlang.org/install.sh -O ~/dlang/install.shAlternatively, the script can be invoked directly:
curl https://dlang.org/install.sh | bash -sIn this case the installer makes a copy of itself at ~/dlang/install.sh. If no arguments are provided, the latest DMD compiler will be installed.
Downloading on Windows
The instructions above work unaltered when using a POSIX-like environment on Windows, such as Cygwin or MSYS2, but then compilers are installed inside that environment. For better integration with a typical Windows development environment, you may follow the instructions below instead, which makes compilers available from the Windows Command Prompt.mkdir %USERPROFILE%\dlang powershell.exe -Command "wget https://dlang.org/install.sh -OutFile %USERPROFILE%\dlang\install.sh"The script is interpreted by bash.exe, which comes as part of MSYS2 as well as Git for Windows. The following two sections provide two alternatives for defining %BASH% so that the POSIX-tailored examples further down will work from the Windows command prompt by replacing "~/dlang/install.sh" with "%BASH% %USERPROFILE%\dlang\install.sh". With either one of these alternatives, this will work:
%BASH% %USERPROFILE%\dlang\install.sh --help
Using Git BASH
Download and install Git for Windows to "C:\Program Files\Git" and 7-Zip to "C:\Program Files\7-Zip". 7z.exe needs to be in the PATH:set PATH=%PATH%;C:\Program Files\7-Zip set BASH="\Program Files\Git\usr\bin\bash.exe"
Using MSYS BASH
Follow the installation instructions for MSYS2. We'll assume MSYS2 is now available in C:\msys64, which is the default for the 64-bit installer. This will install the necessary decompression tools:C:\msys64\usr\bin\pacman.exe --sync unzip p7zip set BASH=C:\msys64\usr\bin\bash.exe
Usage
~/dlang/install.sh [<command>] [<args>]
- Installation
- Activation
- Uninstallation
- Listing available compilers
- Update
- Get compiler executable path
Global options
-
- -p --path
- Changes the install location (default ~/dlang on POSIX, %USERPROFILE/dlang on Windows)
- -v
- Produces more verbose output
- -h
- Displays a help page
Install
~/dlang/install.sh install <compiler>Download and install a D compiler. By default the latest release of the DMD compiler is selected.
Options
-
- -a --activate
- Prints the path to the activate script
- dmd|ldc|gdc
- Installs the latest version of a compiler
- dmd|ldc|gdc-<version>
- Installs a specific version of a compiler (e.g. dmd-2.071.1, ldc-1.1.0-beta2)
- dmd|ldc-beta
- Installs the latest beta version of a compiler
- dmd-nightly
- Installs DMD nightly
- dmd-2017-02-10
- Installs specific DMD nightly
- dub
- Installs the latest version of a dub
- dub-<version>
- Installs a specific version of a dub (e.g. dub.1.23.0)
- <compiler>
- Installs a version of compiler and a version of dub. All compiler and version strings listed above are supported.
Examples
~/dlang/install.sh ~/dlang/install.sh dmd ~/dlang/install.sh install dmd ~/dlang/install.sh install dmd-2.071.1 ~/dlang/install.sh install ldc-1.1.0-beta2 ~/dlang/install.sh install dmd-beta ~/dlang/install.sh install dmd-nightlyBy default, the dub binary bundled in the compiler installation will be exposed. Optionally, a different dub version can be installed standalone or as part of the compiler installation:
Examples
~/dlang/install.sh install dub ~/dlang/install.sh install dub-1.22.0 ~/dlang/install.sh install dmd-2.071.1,dub-1.23.0 ~/dlang/install.sh install ldc-1.23.0,dubAn installed compiler can be used directly, but the exact path varies between compiler vendors:
~/dlang/<installed-dmd-compiler>/bin64/dmd ~/dlang/<installed-ldc-compiler>/ldc2Therefore it is recommended to activate a compiler after installation. For scripting needs the path to compiler executable can be queried with get-path.
Activate
Once a compiler is installed, it can be activated for the current session. Supplying the -a or --activate option to the install command will print the path to the appropriate activation script: either a shell script or a Windows batch file.In POSIX environments
~/dlang/install.sh install <compiler> -aThis will show where to find the activate script (or activate.fish for users of the Fish shell.) The script should be executed in the current shell:
source ~/dlang/<installed-compiler>/activateThis will set up the PATH, LIBRARY_PATH, LD_LIBRARY_PATH, DMD, DC, and PS1 environment variables. It's also possible to combine this into one command:
source $(~/dlang/install.sh dmd -a)The activated compiler can be removed from the current session by restoring the previous environment:
deactivate
On the Windows command line
%BASH% %USERPROFILE%\dlang\install.sh install <compiler> -aThis will show where to find the activate.bat file. Calling it will change the PATH environment variable, and show how to restore its prior value.
%USERPROFILE%\dlang\<installed-compiler>\activate.batTo install and activate %COMPILER% in a batch file, this will do:
set INSTALL=%BASH% %USERPROFILE%\dlang\install.sh install %COMPILER%
%INSTALL%
for /f "usebackq tokens=*" %%a in (%INSTALL% -a) do call %%a
Get compiler executable path
~/dlang/install.sh get-path <compiler>Returns the path to the selected compiler executable. The command fails if the compiler is not installed locally and --install hasn't been passed.
Options
-
- --dmd
- Prints the path to the DMD-alike executable
- --dub
- Prints the path to the DUB executable
- --install
- Installs the compiler if it is not installed
Examples
$ ~/dlang/install.sh get-path dmd /home/user/dlang/dmd-2.094.0/linux/bin64/dmd $ ~/dlang/install.sh get-path dmd-2.093.0 --install /home/user/dlang/dmd-2.093.0/linux/bin64/dmd $ ~/dlang/install.sh get-path ldc-1.23.0 /home/user/dlang/ldc-1.23.0/bin/ldc2 $ ~/dlang/install.sh get-path --dmd ldc-1.23.0 /home/user/dlang/ldc-1.23.0/bin/ldmd2 $ ~/dlang/install.sh get-path --dub ldc-1.23.0 /home/user/dlang/ldc-1.23.0/bin/dub $ ~/dlang/install.sh get-path --dub dub-1.21.0 /home/user/dlang/dub-1.21.0/bin/dub $ ~/dlang/install.sh get-path --dub ldc-1.23.0,dub-1.21.0 /home/user/dlang/dub-1.21.0/bin/dub
Uninstall
Uninstall a D compiler.~/dlang/install.sh uninstall <compiler>
Examples
~/dlang/install.sh uninstall dmd ~/dlang/install.sh uninstall dmd-2.071.1 ~/dlang/install.sh uninstall ldc-1.1.0-beta2
List
List all installed D compilers.~/dlang/install.sh list
Update
Update the installer itself and the keyring.~/dlang/install.sh update
Copyright © 1999-2023 by the D Language Foundation | Page generated by
Ddoc on Wed Mar 1 14:57:14 2023


WHO AM I ??
My name is osama yousef .I am from irbid, Jordan .I am a civil engineering graduate from JUST university .I am learning these days about software development at LTUC college.I dont have a lot of experience in enginnering .I am ambitious guy so my perpose now is to be awesome software developer .
An enthusiastic and highly-motivated software developer with good communication skills. Able to work in a high-stress, fast –paced environment. I have a clear understanding of the role and responsibilities associated with being a software developer . I am ambitious, hardworking and want to find a company that I can grow with as I achieve their goals. I have the follow-through and positive attitude that will allow me to help your company with your upcoming challenges.
work experience and education :
- - Full Stack Software Developer at LTUC college , Jordan , Amman (February 2020- PRESENT )
- - B.S - Civil Engineering at JUST University , Jordan, Irbid ( SEP 2013 - AUGUST 2018 )
My Top Skills :
- - Time management and planning
- - Flexible, adaptable and efficient
- - Outgoing personality
- - Ability to work under pressure
- - Teamwork and leadership ability
- - Ability to identify, analyze and solve problems
- - Excellent written and verbal communication skills
I Will Take These Courses :
Code 101: Explore Software Development
This course introduces beginners to the world of software development. Find out if a career in tech and programming or if our Code 201 course is right for you.
Code 102: Intro to Software Development
Ready to move past the concepts covered in Code 101? In this course you will blast through Khan Academy’s JavaScript tutorials and get a better understanding of programming.
Code 201: Foundations of Software Development
Get training to use HTML, CSS, and basic JavaScript to create interactive web pages that will prepare you for an internship at a tech company or our Code 301 course.
Code 301: Intermediate Software Developmen
Learn the common core of software development and fundamentals. Become a web producer, product manager, entry-level website builder, or continue to Code 401.
Code 401: Advanced Software Development in Full-Stack JavaScript
Learn career placement skills, build full-stack web applications and become a full-stack JS developer to land a high-paying job in the industry.


You’ll need a digital photo to renew your passport online. Your application will be delayed if your photo doesn’t meet these rules.
 If you wear reading glasses that you can’t take off, your eyes must be visible without any glare or reflections.


DevOps Enterprise Summit, London 2016
“A project is atemporaryendeavor undertaken to create a unique product, service or result ... it has adefined beginning and end in time, and thereforedefined scope and resources... a project team often includespeople who don’t usually work together...”
“You build it, you run it”
DevOps = “Developers carry beepers”
Adding manpower to a late
software project makes it later
Organizations which design systems ... are constrained to produce designs which are copies of the communication structures of these organizations
Microservices allow organizations to align the architecture of their systems to the structure of their teams.
Organizational flexibility
is important to effective design
Fixed-priceprojects ... were, in general,less successfulthan other projects.
Success in terms of client benefit was onlyweakly correlated withsuccess in terms of“on time” and “on budget”
Benefit managementplanning before the project started and benefit management activities during project execution wereconnected with successon delivering client benefits
Agile projects were, in general, more successful than other projects,butagile projectswithout flexible scopeto reflect changed user needs and learning,orwithout frequent deliveryto the client,had less than average success
“To work in the line is whenpeople who know each otherwork together inautonomous teamscreating unique products and servicescontinously, and takefull responsibility for the whole lifecycle of the productsthey make, andmeasure valueagainstthe business vision...”


Kitchen World
we are always ready to help you.If you have anykind of doubt you can mail to us or write a comment in the comment box below.
One of our experts will attain your question and will reply you as soon as possible or you can also mail your doubt to us our
mail id is on the contact us page.
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Products |
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Fields and methods of the helma.Mail class.
To use this optional module, its repository needs to be added to the application, for example by calling app.addRepository('modules/helma/Mail.js')
To use this optional module, its repository needs to be added to the application, for example by calling app.addRepository('modules/helma/Mail.js')
Mail client enabling you to send e-mail via SMTP using Packages.javax.mail.
parameters
| String | smtp | as String, the hostname of the mail server |
methods
- setAuthentication(uname, pwd)
- setDebug(debug)
- setFrom(addstr, name)
- setReplyTo(addstr)
- setTo(addstr, name)
- addTo(addstr, name)
- addCC(addstr, name)
- addBCC(addstr, name)
- setSubject(subject)
- setText(text)
- addText(text)
- setMultipartType(messageType)
- getMultipartType(messageType)
- addPart(obj, filename, contentType)
- writeToFile(dir)
- send()
properties
The status of this Mail object. This equals
0
unless
an error occurred. See {@link helma.Mail Mail.js} source code for a list of
possible error codes.Methods
Sets username and password to use for SMTP authentication.
parameters
| String | uname | The username to use |
| String | pwd | The password to use |
Switches debug mode on or off.
parameters
| Boolean | debug | If true debug mode is enabled |
Sets the sender of an e-mail message.
The first argument specifies the receipient's e-mail address. The optional second argument specifies the name of the recipient.
The first argument specifies the receipient's e-mail address. The optional second argument specifies the name of the recipient.
parameters
| String | addstr | as String, sender email address |
| String | name | as String, optional sender name |
Sets the Reply-To address of an e-mail message.
parameters
| String | addstr | as String, the reply-to email address |
Sets the recipient of an e-mail message.
The first argument specifies the receipient's
e-mail address. The optional second argument
specifies the name of the recipient.
parameters
| String | addstr | as String, receipients email address |
| String | name | as String, optional receipients name |
see
Adds a recipient to the address list of an e-mail message.
The first argument specifies the receipient's e-mail address. The optional second argument specifies the name of the recipient.
The first argument specifies the receipient's e-mail address. The optional second argument specifies the name of the recipient.
parameters
| String | addstr | as String, receipients email address |
| String | name | as String, optional receipients name |
see
Adds a recipient to the list of addresses to get a "carbon copy"
of an e-mail message.
The first argument specifies the receipient's e-mail address. The optional second argument specifies the name of the recipient.
The first argument specifies the receipient's e-mail address. The optional second argument specifies the name of the recipient.
parameters
| String | addstr | as String, receipients email address |
| String | name | as String, optional receipients name |
Adds a recipient to the list of addresses to get a "blind carbon copy" of an e-mail message.
The first argument specifies the receipient's e-mail address. The optional second argument specifies the name of the recipient.
The first argument specifies the receipient's e-mail address. The optional second argument specifies the name of the recipient.
parameters
| String | addstr | as String, receipients email address |
| String | name | as String, optional receipients name |
Sets the subject of an e-mail message.
parameters
| String | subject | as String, the email subject |
Sets the body text of an e-mail message.
parameters
| String | text | as String, to be appended to the message body |
see
Appends a string to the body text of an e-mail message.
parameters
| String | text | as String, to be appended to the message body |
see
Sets the MIME multiparte message subtype. The default value is
"mixed" for messages of type multipart/mixed. A common value
is "alternative" for the multipart/alternative MIME type.
parameters
| String | messageType | the MIME subtype such as "mixed" or "alternative". |
see
Returns the MIME multiparte message subtype. The default value is
"mixed" for messages of type multipart/mixed.
parameters
| messageType |
returns
| the MIME subtype |
see
Adds an attachment to an e-mail message.
The attachment needs to be either a helma.util.MimePart Object retrieved through the global getURL function, or a {@link helma.File} object, or a String.
Use the getURL() function to retrieve a MIME object or wrap a helma.File object around a file of the local file system.
The attachment needs to be either a helma.util.MimePart Object retrieved through the global getURL function, or a {@link helma.File} object, or a String.
Use the getURL() function to retrieve a MIME object or wrap a helma.File object around a file of the local file system.
parameters
| fileOrMimeObjectOrString | obj | File, Mime object or String to attach to the email |
| String | filename | optional name of the attachment |
| String | contentType | optional content type (only if first argument is a string) |
see
Saves this mail RFC 822 formatted into a file. The name of the
file is prefixed with "helma.Mail" followed by the current time
in milliseconds and a random number.
parameters
| helma.File | dir | An optional directory where to save this mail to. If omitted the mail will be saved in the system's temp directory. |
Returns the source of this mail as RFC 822 formatted string.
returns
| The source of this mail as RFC 822 formatted string |
Sends an e-mail message.
This function sends the message using the SMTP server as specified when the Mail object was constructed using helma.Mail.
If no smtp hostname was specified when the Mail object was constructed, the smtp property in either the app.properties or server.properties file needs to be set in order for this to work.
As a fallback, the message will then be written to file using the {@link #writeToFile} method. Additionally, the location of the message files can be determined by setting smtp.dir in app.properties to the desired file path.
This function sends the message using the SMTP server as specified when the Mail object was constructed using helma.Mail.
If no smtp hostname was specified when the Mail object was constructed, the smtp property in either the app.properties or server.properties file needs to be set in order for this to work.
As a fallback, the message will then be written to file using the {@link #writeToFile} method. Additionally, the location of the message files can be determined by setting smtp.dir in app.properties to the desired file path.


3.1 The Importance of Benchmarking
Benchmarking
is fundamentally a "what if" game.
By setting up a simple test, you can quickly answer questions such as
the following:
What if I increase the number of rows by a factor of 10? Will my
queries still be fast? Will a RAM upgrade really help? If so, how much? Is the new server really twice as fast as the old one? What if I disable the query cache? Which is faster, using a subquery or two shorter queries? What happens when this query is run multiple times or is run with
other queries?
Benchmarking is often about comparisons. When deciding to make an
important change, you'll want first to test the
alternative(s) and then decide what to do based on the results of the
test.
Our goal is to make benchmarking MySQL easy. Anytime you catch
yourself wondering if A is faster than B, or whether A or B uses more
memory, just pull out your favorite benchmarking tool and find out.
Sometimes you'll be surprised by the results. To
achieve the goal of easy MySQL benchmarking, we've
tried to document how to use the available tools.
Beyond answering what-if questions, benchmarking is especially
important in database-driven applications because it can highlight
problems that are otherwise difficult to pinpoint. When an
application slows down, the database may not be the first suspect.
After spending a lot of time testing the application code,
you'll eventually need to isolate the database to
see whether it is a significant bottleneck. Having a prebuilt
benchmark makes that task trivial.
|


SUNDAY'S CHILDREN A film review by James Berardinelli Copyright 1994 James Berardinelli
Rating (0 to 10): 8.4
Date Released: varies Running Length: 2:00 Rated: No MPAA Rating (Mature themes, nudity)
Starring: Thommy Berggren, Henrik Linnros, Lena Endre, Jakob Leygraf, Malin Ek Director: Daniel Bergman Producer: Katinka Farago Screenplay: Ingmar Bergman Cinematography: Tony Forsberg Released by First Run Features In Swedish with subtitles
In more ways than one, SUNDAY'S CHILDREN is about fathers and sons. Written by Ingmar Bergman and directed by his youngest son Daniel, the film depicts Bergman's own childhood and his volatile relationship with his father Henrik. Here, the names of the past generation have been changed, but the story that remains is heavily autobiographical, and forms a trilogy with the elder Bergman's final directorial effort, FANNY AND ALEXANDER and Billy August's searing and powerful version of Bergman's screenplay, THE BEST INTENTIONS.
Most of SUNDAY'S CHILDREN takes place in the 1920s and centers around the disintegration of the family of young Pu (Henrik Linnros). His father Erik (Thommy Berggren) and mother Karin (Lena Endre) are at a crossroads in their marriage--she wants a separation; he won't hear of it. Pu's nearly-worshipful attitude towards his father leads Erik to suggest that his son accompany him on a day-long journey to a distant parish where Erik is to preach a Sunday sermon. Pu agrees and, on the way, experiences something that will soon become a painfully recurring reality in his relationship with his father--violent, explosive anger that leads to physical abuse.
Erik Bergman is SUNDAY'S CHILDREN's representation of Henrik Bergman. Karin is Ingmar's mother Anna, and Pu is explicitly revealed to be the author. Despite name and actor changes, this is an excellent followup to THE BEST INTENTIONS (which told the story of Henrik and Anna's courtship and the early years of their marriage). The material is not as potent, but the continuation of the story arc is unmistakable.
There are four flash-forwards. These take place in 1968, and show a middle-aged Ingmar interacting with his dying father. The scenes are crucial to the plot, placing the main story in perspective and giving emotional resonance to the 1920s sequences. Knowing the eventual, tragic path taken by the father/son relationship adds poignancy to the presentation of circumstances before everything went wrong. Aside from the one instance of abuse, the ugliness that was to mark Ingmar's lifelong war with his father had not yet begun. And because we see Erik as such a caring, sympathetic figure, it hurts to recognize what he will become.
Like most films scripted by Ingmar Bergman, SUNDAY'S CHILDREN moves slowly, with the emotional and psychological pressures constantly building. This is not a movie for those who are unwilling to sit and gradually become immersed in the unspectacular lives of a group of characters.
While not surpassing his father, Director Daniel Bergman has managed to make the material his own by crafting a first-rate film. He is aided by a superlative cast which includes one of the most natural under-ten actors to grace the screen in years (Henrik Linnros). The credibility of the film is linked inextricably to Pu, and young Linnros makes his character consistently believable.
There are numerous parallels between SUNDAY'S CHILDREN and another currently-available Swedish film, THE SLINGSHOT. Both take place in the 1920s and are told from the point-of-view of a young boy. As good as THE SLINGSHOT is, however, it lacks a portion of the depth that forms the foundation of SUNDAY'S CHILDREN. Each film is worth seeing in its own right, and various comparisons and contrasts will leap to mind, but SUNDAY'S CHILDREN is the stronger of the two. Ingmar Bergman's days behind the camera may be over, but he apparently still has a worthwhile story or two left to tell.
- James Berardinelli<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
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Please direct comments/criticisms of the review to relevant newsgroups.
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show(@key stream = current_writer(), quotes = false, obj1, ...)
Write the textual representation of the objects obj1 ...
to the output-stream stream
.
If quotes
is true, output the enclosing quotes for strings and symbols.
After writing obj1 ...
, return void
.
show("hello, world")
//> hello, world
show(quotes = true, "hello, world")
//> "hello, world"


|
panann
|
#include <NeuralNetwork.h>
Classes | |
| struct | InputConnection |
| struct | Layer |
| struct | Neuron |
| struct | OutputConnection |
Public Types | |
| enum | ActivationFunctionType : uint8_t { Linear = 1, Sigmoid, Gaussian, Sine, Cosine, Elliot, Threshold, SigmoidSymmetric, GaussianSymmetric, SineSymmetric, CosineSymmetric, ElliotSymmetric, ThresholdSymmetric, FirstSymmetric = SigmoidSymmetric } |
| enum | ErrorCostFunction : uint8_t { MeanSquareError = 1, MeanAbsoluteError } |
| enum | TrainingAlgorithmType : uint8_t { TrainingAlgorithmType::Backpropagation = 0, TrainingAlgorithmType::BatchingBackpropagation, TrainingAlgorithmType::QuickBackpropagation, TrainingAlgorithmType::ResilientBackpropagation, TrainingAlgorithmType::SimulatedAnnealingResilientBackpropagation } |
Public Member Functions | |
| void | SetInputNeuronCount (size_t inputNeuronCount) |
| size_t | GetInputNeuronCount () |
| size_t | GetInputNeuronStartIndex () |
| void | SetOutputNeuronCount (size_t outputNeuronCount) |
| size_t | GetOutputNeuronCount () |
| size_t | GetOutputNeuronStartIndex () |
| void | AddHiddenLayer (size_t neuronCount) |
| size_t | GetHiddenNeuronCount () |
| size_t | GetHiddenNeuronStartIndex () |
| void | SetLearningRate (double learningRate) |
| double | GetLearningRate () |
| void | SetMomentum (double momentum) |
| double | GetMomentum () |
| void | SetQpropMu (double mu) |
| double | GetQpropMu () |
| void | SetQpropWeightDecay (double weightDecay) |
| double | GetQpropWeightDecay () |
| void | SetRpropWeightStepInitial (double weightStep) |
| double | GetRpropWeightStepInitial () |
| void | SetRpropWeightStepMin (double weightStep) |
| double | GetRpropWeightStepMin () |
| void | SetRpropWeightStepMax (double weightStep) |
| double | GetRpropWeightStepMax () |
| void | SetRpropIncreaseFactor (double factor) |
| double | GetRpropIncreaseFactor () |
| void | SetRpropDecreaseFactor (double factor) |
| double | GetRpropDecreaseFactor () |
| void | SetSarpropWeightDecayShift (double k1) |
| double | GetSarpropWeightDecayShift () |
| void | SetSarpropStepThresholdFactor (double k2) |
| double | GetSarpropStepThresholdFactor () |
| void | SetSarpropStepShift (double k3) |
| double | GetSarpropStepShift () |
| void | SetSarpropTemperature (double t) |
| double | GetSarpropTemperature () |
| void | SetTrainingAlgorithmType (TrainingAlgorithmType type) |
| TrainingAlgorithmType | GetTrainingAlgorithmType () |
| void | SetErrorCostFunction (ErrorCostFunction mode) |
| ErrorCostFunction | GetErrorCostFunction () |
| void | EnableShortcutConnections () |
| void | DisableShortcutConnections () |
| void | SetHiddenNeuronActivationFunctionType (ActivationFunctionType type) |
| ActivationFunctionType | GetHiddenNeuronActivationFunctionType () |
| void | SetOutputNeuronActivationFunctionType (ActivationFunctionType type) |
| ActivationFunctionType | GetOutputNeuronActivationFunctionType () |
| void | SetNeuronActivationFunction (size_t neuronIndex, ActivationFunctionType type) |
| void | Construct () |
| void | InitializeWeightsRandom (double min=-1.0, double max=1.0) |
| void | InitializeWeights (const TrainingData *trainingData) |
| void | Train (TrainingData *trainingData, size_t epochCount) |
| void | RunForward (const std::vector< double > *input) |
| void | RunBackward (const std::vector< double > *output) |
| double | GetError (const std::vector< double > *output) |
| double | GetError (const TrainingData *trainingData) |
| std::vector< double > * | GetWeights () |
| void | SetWeights (std::vector< double > *weights) |
| void | GetOutput (std::vector< double > *output) |
Protected Member Functions | |
| NeuralNetwork (const NeuralNetwork &) | |
| void | Allocate () |
| void | ConnectFully () |
| void | ConnectLayerToNeuron (size_t fromNeuronIndex, size_t fromNeuronCount, size_t toNeuronIndex) |
| void | ConnectLayers (size_t fromNeuronIndex, size_t fromNeuronCount, size_t toNeuronIndex, size_t toNeuronCount) |
| void | ConnectBiasNeuron (size_t biasNeuronIndex, size_t toNeuronIndex, size_t toNeuronCount) |
| void | ConnectNeurons (size_t fromNeuronIndex, size_t toNeuronIndex) |
| void | ComputeNeuronValue (size_t neuronIndex) |
| void | ComputeNeuronError (size_t neuronIndex) |
| void | UpdateSlopes () |
| void | UpdateWeightsOnline () |
| void | UpdateWeightsOffline (size_t currentEpoch, size_t stepCount) |
| void | UpdateWeightsBatchingBackpropagation (size_t stepCount) |
| void | UpdateWeightsQuickBackpropagation (size_t stepCount) |
| void | UpdateWeightsResilientBackpropagation () |
| void | UpdateWeightsSimulatedAnnealingResilientBackpropagation (size_t currentEpoch) |
| size_t | GetBiasNeuronStartIndex () |
| void | ResetWeightSteps () |
| void | ResetSlopes () |
| void | ResetPreviousSlopes () |
| void | TrainOffline (TrainingData *trainingData, size_t epochCount) |
| void | TrainOnline (TrainingData *trainingData, size_t epochCount) |
| void | ResetOutputLayerError () |
| void | CalculateOutputLayerError (const std::vector< double > *output) |
| double | GetError () |
Static Protected Member Functions | |
| static double | ExecuteActivationFunction (Neuron *neuron) |
| static double | ExecuteActivationFunctionDerivative (Neuron *neuron) |
| static bool | IsActivationFunctionSymmetric (ActivationFunctionType activationFunctionType) |
| static double | ApplyErrorShaping (double value) |
Protected Attributes | |
| size_t | _inputNeuronCount |
| size_t | _outputNeuronCount |
| size_t | _hiddenNeuronCount |
| double | _learningRate |
| double | _momentum |
| double | _qpropMu |
| double | _qpropWeightDecay |
| double | _rpropWeightStepInitial |
| double | _rpropWeightStepMin |
| double | _rpropWeightStepMax |
| double | _rpropIncreaseFactor |
| double | _rpropDecreaseFactor |
| double | _sarpropWeightDecayShift |
| double | _sarpropStepThresholdFactor |
| double | _sarpropStepShift |
| double | _sarpropTemperature |
| double | _errorSum |
| double | _errorCount |
| std::vector< Neuron > | _neurons |
| std::vector< Layer > | _hiddenLayers |
| std::vector< InputConnection > | _inputConnections |
| std::vector< OutputConnection > | _outputConnections |
| std::vector< double > | _weights |
| std::vector< double > | _previousWeightSteps |
| std::vector< double > | _slopes |
| std::vector< double > | _previousSlopes |
| ActivationFunctionType | _hiddenNeuronActivationFunctionType |
| ActivationFunctionType | _outputNeuronActivationFunctionType |
| ErrorCostFunction | _errorCostFunction |
| TrainingAlgorithmType | _trainingAlgorithmType |
| bool | _shouldShapeErrorCurve |
| bool | _enableShortcutConnections |
| bool | _isConstructed |
| RandomWrapper | _randomWrapper |
Simple feed-forward, multi-layer perceptron.
|
strong |
| Enumerator | |
|---|---|
| Backpropagation | Backpropagation with momentum and learning rate parameters.
|
| BatchingBackpropagation | Batching backpropagation with learning rate parameter.
|
| QuickBackpropagation | An implementation of quickprop. |
| ResilientBackpropagation | Resilient backprop is a very fast training algorithm designed to move quickly down the error curve when the derivative of the partial error doesn't change. |
| SimulatedAnnealingResilientBackpropagation | Simulated annealing and weight decay are added to resilient backprop. |
| void NeuralNetwork::AddHiddenLayer | ( | size_t | neuronCount | ) |
Append a hidden layer to the end of the list of existing hidden layers.
Hidden layers are located after the input layer and before the output layer.
Once added, hidden layers may not be removed.
Hidden layers may not be added after the network has been constructed.
| void NeuralNetwork::Construct | ( | ) |
Build the network topology.
After construction, the number of input and output neurons, number of hidden layers, use of shortcut connections, and some other settings may not be modified.
| void NeuralNetwork::EnableShortcutConnections | ( | ) |
Shortcut connections are feed-forward connections between two non-adjacent layers.
Note: Changing this setting after the network has been constructed will have no impact on the network topology.
Default: disabled
| double NeuralNetwork::GetError | ( | const std::vector< double > * | output | ) |
Get the total network error by calculating the average of the difference between each output neuron value and each value in the output parameter.
The difference between the expected value and the output neuron value will be modified according to the error cost function.
| output | Expected output values. Difference between this and the value of each output neuron is our total network error. The number of values in output must be the same as the number of output neurons in this network. |
| double NeuralNetwork::GetError | ( | const TrainingData * | trainingData | ) |
Get the total network error against a set of examples.
For each example, we run the network forward on the input and compute the difference between the output and the values stored in each output neuron.
The total network error is computed as the average of all of those computed differences.
The difference between the expected value and the output neuron value will be modified according to the error cost function.
| size_t NeuralNetwork::GetInputNeuronStartIndex | ( | ) |
| hidden neurons | input neurons | output neurons | bias neurons |
| void NeuralNetwork::GetOutput | ( | std::vector< double > * | output | ) |
Writes all of the output neuron values into a vector.
Existing values in the output parameter will be discarded.
| std::vector< double > * NeuralNetwork::GetWeights | ( | ) |
Get a writable vector containing all the weight values for the network.
| void NeuralNetwork::InitializeWeights | ( | const TrainingData * | trainingData | ) |
Initialize the weight of each connection via Widrow-Nguyen's algorithm.
| void NeuralNetwork::InitializeWeightsRandom | ( | double | min = -1.0 , |
| double | max = 1.0 |
||
| ) |
Reset every weight in the network to a random value between min and max.
| void NeuralNetwork::RunBackward | ( | const std::vector< double > * | output | ) |
Compute the error attributed to each neuron in the network.
Begins by calculating the difference between each output neuron value and each element in the output parameter.
Next we pull that neuron error backwards through the network, computing the partial error contributed by each neuron in the network.
| output | Must have the same number of elements as this network has output neurons. |
| void NeuralNetwork::RunForward | ( | const std::vector< double > * | input | ) |
Run the network forward on a set of inputs.
The values computed by running the network will be stored in the output neurons.
Works by assigning the values in the input parameter into each input neuron and pulling those values through the hidden layers, calculating the output of each neuron as the result of executing the activation function on the sum of the incoming values multiplied by their connection weights.
| input | Must have the same number of elements as this network has input neurons. |
| void NeuralNetwork::SetErrorCostFunction | ( | ErrorCostFunction | mode | ) |
Set the cost function we will use to calculate the total network error.
Default: MeanSquareError
| void NeuralNetwork::SetHiddenNeuronActivationFunctionType | ( | ActivationFunctionType | type | ) |
Set the default activation function we will use for hidden layer neurons.
Default: Sigmoid
| void NeuralNetwork::SetInputNeuronCount | ( | size_t | inputNeuronCount | ) |
Set the number of neurons in the input layer. This count may not be changed once the network topology has been constructed.
| void NeuralNetwork::SetLearningRate | ( | double | learningRate | ) |
Set the learning rate parameter used by backprop, batch, and qprop.
Default: 0.7
| void NeuralNetwork::SetMomentum | ( | double | momentum | ) |
Set the momentum parameter used by backprop.
Default: 0.1
| void NeuralNetwork::SetOutputNeuronActivationFunctionType | ( | ActivationFunctionType | type | ) |
Set the default activation function we will use for output layer neurons.
Default: Sigmoid
| void NeuralNetwork::SetOutputNeuronCount | ( | size_t | outputNeuronCount | ) |
Set the number of neurons in the output layer. This count may not be changed once the network topology has been constructed.
| void NeuralNetwork::SetQpropMu | ( | double | mu | ) |
Set the Mu parameter for qprop.
Default: 1.75
| void NeuralNetwork::SetQpropWeightDecay | ( | double | weightDecay | ) |
Set the weight decay parameter for qprop.
Default: -0.0001
| void NeuralNetwork::SetRpropDecreaseFactor | ( | double | factor | ) |
Set the factor by which the weight step will be decreased when the sign of the partial derivative of the error changes.
This is sometimes called eta-.
Both rprop and sarprop use this paramter for the same purpose.
A lower value will make training slower and a higher value can make training unstable.
Default: 0.5
| void NeuralNetwork::SetRpropIncreaseFactor | ( | double | factor | ) |
Set the factor by which the weight step will be increased each training step when the sign of the partial derivative of the error does not change.
This is sometimes referred to as eta+.
Both rprop and sarprop use this paramter for the same purpose.
A higher value can increase the speed of convergeance but can also make training unstable.
Default: 1.2
| void NeuralNetwork::SetRpropWeightStepInitial | ( | double | weightStep | ) |
Set the initial weight step value for rprop and sarprop.
This is sometimes called delta_zero.
Default: 0.0125
| void NeuralNetwork::SetRpropWeightStepMax | ( | double | weightStep | ) |
Set the maximum weight step value for rprop and sarprop.
This is sometimes called delta_max.
If the weight change becomes too large, learning will be chaotic so we clamp it to some reasonably large number to ensure smooth training.
Default: 50
| void NeuralNetwork::SetRpropWeightStepMin | ( | double | weightStep | ) |
Set the minimum weight step value for rprop and sarprop.
This is sometimes called delta_min.
If the weight change becomes 0, learning will stop so we need to use some small value instead of zero.
Default: 0.000001
| void NeuralNetwork::SetSarpropStepShift | ( | double | k3 | ) |
Set the step shift parameter used by sarprop.
It is called k3 in some formulations of sarprop.
Default: 3
| void NeuralNetwork::SetSarpropStepThresholdFactor | ( | double | k2 | ) |
Set the weight step threshold factor parameter used by sarprop.
It is called k2 in some formulations of sarprop.
Default: 0.1
| void NeuralNetwork::SetSarpropTemperature | ( | double | t | ) |
Set the temperature parameter used by sarprop.
This is referred to as T in most sarprop formulations.
Default: 0.015
| void NeuralNetwork::SetSarpropWeightDecayShift | ( | double | k1 | ) |
Set the weight decay shift parameter used by sarprop.
This is a constant used as a weight decay.
It is called k1 in some formulations of sarprop.
Default: 0.01
| void NeuralNetwork::SetTrainingAlgorithmType | ( | TrainingAlgorithmType | type | ) |
Set the training algorithm this network will use during training.
Default: ResilientBackpropagation
| void NeuralNetwork::SetWeights | ( | std::vector< double > * | weights | ) |
Set the weight values for the network.
The weight values will be copied from the provided vector which must contain exactly the number of values for which this network has weights.
| void NeuralNetwork::Train | ( | TrainingData * | trainingData, |
| size_t | epochCount | ||
| ) |
Use the training algorithm to train the network.
Training follows these steps:
| trainingData | Examples on which we will train the network. Note: Shuffles the order of examples in trainingData. |
| epochCount | The number of epochs we should execute to train the network. One epoch is one full step through all of the training examples. |


THE CELEBRATION A film review by Steve Rhodes Copyright 1998 Steve Rhodes RATING (0 TO ****): ***
As is the custom in Denmark, the eldest son in THE CELEBRATION (FESTEN) is first to read his congratulatory speech at his father's birthday party. The 60 year old father, Helge, played with confident assurance by Henning Moritzen, beams at his grown son as he waits for his son's praises, as do the others staying overnight at the family's hotel.
The handsome and smiling son, Christian, played in a highly nuanced and masterful performance by Ulrich Thomsen, has no intention of delivering the speech the guests expect. Several dozen guests, including his younger brother and sister, are flabbergasted by what they hear.  Like the boy who said the emperor has no clothes, he has made an incredible accusation.
How shocked are the assembled listeners? After a short pause to catch their breaths, they continue with the festivities as if the speech had never occurred. Laughter soon fills the dinning room again.
 In 1995, 4 Danish directors, including Lar von Trier (BREAKING THE WAVES), took a "Vow of Chastity" regarding their cinematic techniques. Among the list of proscribed techniques are the use of artificial sounds, sets, locations and lighting. Most notably, all cameras must be handheld. And the director must remain uncredited.
It gets even more ludicrous in that the press kit contains the director's "Confession" to every time his broke his vows. He confesses, for example, to once covering a window to block out the sunlight. He also brought in a desk not originally at the hotel. Shocking. Shocking. As silly as all of this sounds, it works beautifully, and I am not making any of it up.
Since Christian later recants his claims of abuse, the story is not only a character study of a dysfunctional family but also a mystery as well. The living sister discovers a hidden note from her dead sister, which she reads and quickly conceals. This further enhances the mystery.
In a theater of the absurd, the guests sing happy songs and do line dances, while the fury builds within the family. In an explosive performance Thomas Bo Larsen plays the younger son, and Paprika Steen plays the troubled, living sister. Every member of the family seems in constant danger of violent eruption although fewer outbursts occur than one might expect. Even the staff get involved in the family squabbles by launching a rebellion in favor of one side.
The richly textured story twists and turns until it seems to have painted itself into a corner where only a cliched ending is possible. Then, viola, pulling a rabbit out of the celluloid hat, it comes up with a completely fresh and satisfying resolution.
THE CELEBRATION runs 1:45. The film is in Danish with English subtitles. It is rated R for sex, nudity, profanity, mild violence and brief dope smoking and would be acceptable for older and mature teens.
Email<EMAIL_ADDRESS>Web: www.InternetReviews.com
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


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Delete old Google Drive-Backups
Extra path for backup types
Google Drive Path for iobroker backup
Google Drive Path for CCU backup
Google Drive path
Restore
Local
NAS / Copy
Dropbox
Google Drive
FTP
source type
search
Get list
start all adapter after restore
Backitup execution
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Welcome to EvoWorld
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An Application Process represents a sequence of application behaviours that achieves a specific outcome.
An Application Process describes the internal behaviour performed by an Application Component that is required to realize a set of services.
An Application Process may realize Application Services. Other Application Services may serve (be used by) an Application Process. An Application Process may access Data Objects. An Application Component may be assigned to an Application Process (which means that this component performs the process).
The name of an Application Process should clearly identify a series of application behaviours.
Application. Behavioural.
Claims adjudication process, General ledger update job.


Two stabbed in armed robbery outside Scarborough store
by Chris Herhalt, CP24.comTwo people were injured, one seriously, after several people were stabbed in a robbery outside a store in Scarborough on Tuesday afternoon.
Toronto police Const. David Hopkinson said officers were called to a plaza in the Kingston Road and St. Clair Avenue East area just after 4 p.m. for a report of a robbery.
Emergency crews arrived to find a man in serious condition suffering from stab wounds and another person suffering from more minor injuries.
They were both taken to hospital for treatment.
Hopkinson said a total of six people were robbed of their belongings.
Investigators say they are looking for a white male, about 17 years of age.
He has a thin build, brown hair and a clean-shaven face.
He was last seen wearing a grey sweater and is considered armed and dangerous.


For this demo a variety of sound signals were recorded in a recording studio at the Center for New Music and Audio Technology (CNMAT). These recordings were
converted into digital signals using an Analog to Digital Converter
(ADC). Software synthesis programs generated a sound file as their
output (a sound file is simply a data
file stored on a disk). After all the samples for a composition are
calculated the sound file can be played and heard through a Digital to
Analog Converter (DAC).
For the details on how sound can be
recorded into computer sound files see the 1996 book
by Curtis Roads, The Computer Music Tutorial
(The MIT Press)
Many different sound file formats exist. The
differences between such formats are mainly the rate at
which the sound signal was sampled and the number of bits per stored
sample. This information is usually contained in the header of such
files. The sound files used in this work were sampled at 44.1~kHz and
used 16-bit words. The particular format used by the SGI computers, at
CNMAT, is the Audio Interface File Format (aiff). The CNMAT aiff files
are in stereo
(two channels are recorded). For this work only the
left channel was
used and for these files the left and right channels were practically
equal.


FreeCodeCamp API Basejump: URL Shortener Microservice
User stories:
-
I can pass a URL as a parameter and I will receive a shortened URL in the JSON response.
-
When I visit that shortened URL, it will redirect me to my original link.
Example creation usage:
-
https://shorte-url.herokuapp.com/new/https://www.google.com
-
https://shorte-url.herokuapp.com/new/http://foo.com:80
Example creation output
-
{ "original_url":"http://foo.com:80", "short_url":"https://shorte-url.herokuapp.com/8170" }
Usage:
-
https://shorte-url.herokuapp.com/2871
Will redirect to:


Links: index.html, groups.html, groups-drag-and-drop.html, resize.html, textwrap.html, isolation.html


--- layout: st01 title: VNJS JavaScript API ---
Returns the constant, as a JavaScript object, with the given name. This method allows JavaScript code to access constants defined by the VNJS language. When a constant is accessed using this method, access is only permitted in the JavaScript code if the constant has been registered using the registerConstant mutator. The following VNJS code example demonstrates how to register a constant and then access the constant within the JavaScript code;
{% highlight linenos %}{% raw %} // Declare an example VNJS constant. const my_rectangle = Rectangle( width: 400, height: 150, stroke_style: 'black', line_width: 1, ); // A JavaScript function that can access the above constant. const my_javascript_function = {% function(args, context) { // Access the 'my_rectangle' constant in JavaScript code, var my_rectangle = context.getConstant( 'my_rectangle' ); // ... Do something with the constant here ... } %} // Important: The 'my_rectangle' constant is registered here, my_javascript_function.registerConstant(my_rectangle); {% endraw %}{% endhighlight %} It is important that the registerConstant call is made otherwise the JavaScript code will denying access to the constant and throw an error.Sets the target style that the context.animate method will use to produce an animation interpolation between the current style of canvas_element and the target style. The style argument is an object that specifies the stylable property fields of canvas_element that the animation targets. For example, an animation that moves an element horizontally would define the target location of the x property.
The code below demonstrates animating a rectangle to move from 200 to 800 along the x coordinates over a 5 second period;
{% highlight linenos %}{% raw %} // Declare an example VNJS constant. const my_rectangle = Rectangle( width: 400, height: 150, stroke_style: 'black', line_width: 1, x: 200, y: '50%', ); // A JavaScript function const my_javascript_function = {% function(args, context) { // Access the 'my_rectangle' constant in JavaScript code, var my_rectangle = context.getConstant( 'my_rectangle' ); // Set up and start the animation, context.setTargetStyle( my_rectangle, { x: 800 }); context.animate( my_rectangle, { time:5, easing:'ease-in' }); } %} // Important: The 'my_rectangle' constant is registered here, my_javascript_function.registerConstant(my_rectangle); {% endraw %}{% endhighlight %}Starts an animation between the current style of canvas_element, and the target style defined in a previous call to context.setTargetStyle. The anim_args argument is an object that must define the following fields;
The code below demonstrates animating a rectangle to move from 200 to 800 along the x coordinates over a 5 second period;
{% highlight linenos %}{% raw %} // Declare an example VNJS constant. const my_rectangle = Rectangle( width: 400, height: 150, stroke_style: 'black', line_width: 1, x: 200, y: '50%', ); // A JavaScript function const my_javascript_function = {% function(args, context) { // Access the 'my_rectangle' constant in JavaScript code, var my_rectangle = context.getConstant( 'my_rectangle' ); // Set up and start the animation, context.setTargetStyle( my_rectangle, { x: 800 }); context.animate( my_rectangle, { time:5, easing:'ease-in' }); } %} // Important: The 'my_rectangle' constant is registered here, my_javascript_function.registerConstant(my_rectangle); {% endraw %}{% endhighlight %}


welcome to web2 github
Week 01 GitHub Review
Week 03 FlexBox
Week 4 Layout
Grid
Week 05 Put a Basic
Design System to Use
Week 6-8 Midterm
Week 09 Make Buttons
Do Stuff
Week 10 Toggle IMGS
Week 11 Carousel &
Arrays
Week 12 Intro to
jQueries
Week 13 Jquerie Accordions & Autocompletes
Week 14-15 FINAL


This widget uses data from:
Weather forecast from
Yr
, delivered by the Norwegian Meteorological Institute and the NRK
Pollen data from Deutscher Wetterdienst
Air quality data from German Umweltbundesamt
The GeoNames API to find places near your location


Dial-a-telegram
What is your name?
What is the recipient's name?
What is the song you would like to dedicate?
What is the recipient's phone number?
Choose date for the singing telegram.
Select time of day for singing telegram.


|
BTK
0.3dev.0
Open-source library to visualize/process biomechanical data
|
Configurator for the Helen Hayes marker set. More...
#include <btkHHModelConfigurator.h>
Public Types | |
|
typedef SharedPtr< const HHModelConfigurator > | ConstPointer |
|
typedef SharedPtr < HHModelConfigurator > | Pointer |
| Public Types inherited from btk::ModelConfigurator | |
| typedef SharedPtr< const ModelConfigurator > | ConstPointer |
| typedef SharedPtr < ModelConfigurator > | Pointer |
Public Member Functions | |
| ModelConfigurator::Pointer | Clone () const |
| BTK_MODELS_EXPORT void | ComputeBasicMotion (Model *output, int fn, std::map< std::string, Point::Pointer > *landmarks, bool risd=false) const |
| BTK_MODELS_EXPORT void | ComputeStaticCalibration (Model *output, int fn, std::map< std::string, Point::Pointer > *landmarks, bool risd=false) const |
| virtual BTK_MODELS_EXPORT void | Configure (Model *model, BodyPart b, Side s) const |
| BTK_MODELS_EXPORT void | FinalizeJCSAngles (Point::Pointer angle, Acquisition::Pointer output) const |
| BTK_MODELS_EXPORT const std::vector< std::string > | GetRequiredLandmarks () const |
| BTK_MODELS_EXPORT RotationSequence | GetRotationSequence (const std::string jointLabel) const |
| Public Member Functions inherited from btk::ModelConfigurator | |
| virtual void | FinalizeJCSAngles (Point::Pointer, Acquisition::Pointer, const std::string) const |
| LandmarksTranslator::Pointer | GetPredefinedTranslator () const |
| virtual RotationSequence | GetRotationSequence (const std::string, const std::string) const |
Static Public Member Functions | |
| static Pointer | New () |
Protected Member Functions | |
| BTK_MODELS_EXPORT | HHModelConfigurator () |
| Protected Member Functions inherited from btk::ModelConfigurator | |
| bool | FindPoint (std::map< std::string, Point::Pointer > *landmarks, const std::string &label, Point **p, Point::Values **values=0) const |
| bool | FindPosition (std::map< std::string, Position > *landmarks, const std::string &label, Position *coords) const |
| bool | FindValues (std::map< std::string, Point::Values * > *landmarks, const std::string &label, Point::Values **values) const |
| ModelConfigurator () | |
| ModelConfigurator (const ModelConfigurator &) | |
Additional Inherited Members | |
| Protected Attributes inherited from btk::ModelConfigurator | |
| LandmarksTranslator::Pointer | mp_Translator |
Configurator for the Helen Hayes marker set.
Not possible to use the parameters 'UseNodeLHipCenterAsLeftHJC' and 'UseNodeRHipCenterAsRightHJC' due to the way this model is implemented
|
protected |
Generate a landmarks translator for the HH model. The following list presents the label used in the HH model and its translation in BTK:
|
virtual |
Method use to compute the motion of the segments defined in the model.
The static calibration must be done previously.
Reimplemented from btk::ModelConfigurator.
|
virtual |
Method to calibrate the model from a static acquisition.
Reimplemented from btk::ModelConfigurator.
Configure the model by defining these segments and joints. The generic configuration is defined with:
Reimplemented from btk::ModelConfigurator.
|
virtual |
Return an empty list.
Reimplemented from btk::ModelConfigurator.


|
|||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object org.apache.commons.discovery.tools.EnvironmentCache
Cache by a 'key' unique to the environment:
- ClassLoader::groupContext::Object Cache
Cache : HashMap
Key : Thread Context Class Loader (ClassLoader
)
Value : groupContext::SPI Cache (HashMap
)
//- groupContext::Object Cache
// Cache : HashMap
// Key : groupContext (String
)
// Value : Object
When we 'release', it is expected that the caller of the 'release'
have the same thread context class loader... as that will be used
to identify cached entries to be released.
| Field Summary | |
static int |
smallHashSize
Initial hash size for SPI's, default just seem TO big today.. |
| Constructor Summary | |
EnvironmentCache()
|
| Method Summary | |
static java.lang.Object |
get(java.lang.ClassLoader classLoader)
Get object keyed by classLoader. |
static void |
put(java.lang.ClassLoader classLoader,
java.lang.Object object)
Put service keyed by spi & classLoader. |
static void |
release()
Release all internal references to previously created service instances associated with the current thread context class loader. |
static void |
release(java.lang.ClassLoader classLoader)
Release any internal references to a previously created service instance associated with the current thread context class loader. |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
public static final int smallHashSize
| Constructor Detail |
public EnvironmentCache()
| Method Detail |
public static java.lang.Object get(java.lang.ClassLoader classLoader)
public static void put(java.lang.ClassLoader classLoader, java.lang.Object object)
public static void release()
release()
method is called for service instances that
implement the Service
interface.
This is useful in environments like servlet containers,
which implement application reloading by throwing away a ClassLoader.
Dangling references to objects in that class loader would prevent
garbage collection.
public static void release(java.lang.ClassLoader classLoader)
Service
, then call
release()
.
|
|||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Its easy to use that it's hard to explain
We made it really, really simple for people to make the blog and put whatever
they want to.
 Your brain can do the rest. This thing is
yours. Use it however you like


WITNESS LIST Public Education Committee (SUBCOMMITTEE ON Labor Laws into the 21st Century) March 17, 2003-8:00A HB 323 For: Cruz, Juan (TX Assn of School Boards, TX Assn of School Administraors, and Council of School Attorneys) May, Ron (Texas Association of School Boards) Mehl, Cheryl T. (TASB, and Council of School Attorneys) Against: Hollingsworth, Lonnie (Texas Classroom Teachers Association) Lungwitz, Kevin (Texas State Teachers Association) Melina Raab, Ted (Texas Federation of Teachers) Muldoon, Doris (Self) HB 558 For: Cruz, Juan (Texas Association of School Boards, and Council of School Attorneys) Mehl, Cheryl T. (TASB, and Council of School Attorneys) Soehnge, Karen (Texas Association of School Administrators) Against: Lungwitz, Kevin (Texas State Teachers Association) On: Hollingsworth, Lonnie (Texas Classroom Teachers Association) Melina Raab, Ted (Texas Federation of Teachers) HB 912 For: Cruz, Juan (TX Assn. of School Boards, TX Assn. of School Administrators, and Council of School Attorneys) May, Ron (Texas Association of School Boards) Against: Hollingsworth, Lonnie (Texas Classroom Teachers Association) On: Lungwitz, Kevin (Texas State Teachers Association) Melina Raab, Ted (Texas Federation of Teachers) HB 1023 For: Cruz, Juan (Tx Assn. of School Boards, Tx Assn of School Administrators, and Council of School Attorneys) Against: Lungwitz, Kevin (Texas State Teachers Association) Whelan, Lauren (Association of Texas Professional Educators) On: Hollingsworth, Lonnie (Texas Classroom Teachers Association) HB 1112 For: Cruz, Juan (Texas Association of School Boards, and Council of School Attorneys) Soehnge, Karen (Texas Association of School Administrators) Against: Lungwitz, Kevin (Texas State Teachers Association) Melina Raab, Ted (Texas Federation of Teachers) On: Hollingsworth, Lonnie (Texas Classroom Teachers Association) HB 1113 For: Borreca, Chris (Texas Association of School Boards, and Council of School Attorneys) Cruz, Juan (TX Assn of School Administrators, TX Assn. of School Boards, Council of School Attorneys) Lungwitz, Kevin (Texas State Teachers Association) Against: Hollingsworth, Lonnie (Texas Classroom Teachers Association) Melina Raab, Ted (Texas Federation of Teachers) HB 1132 For: Borden, Sandi (Texas Elementary Principals and Supervisors Association) Borreca, Chris (Texas Association of School Boards, and Council of School Attorneys) Casey, Arthur "Skip" (Coleman I.S.D.) May, Ron (Texas Association of School Boards; H.E.B.) Mehl, Cheryl T. (TASB, and Council of School Attorneys) Soehnge, Karen (Texas Association of School Administrators) Against: Fellow, Gayle (Houston Federation of Teachers) Goodall, Steve (Self) Hollingsworth, Lonnie (Texas Classroom Teachers Association) Lewis, Dave (Texas Federation of Teachers, and Self) Lungwitz, Kevin (Texas State Teachers Association) Melina Raab, Ted (Texas Federation of Teachers) Parker, Pamela (ATPE) Shaw, Cappy (United Educators Association) Young, Gerald (Vocational Agriculture Teachers Association of Texas) HB 1167 For: Cruz, Juan (TX Assn. of School Boards, TX Assn. of School Administrators, and Council of School Attorneys) May, Ron (Texas Association of School Boards) Against: Hollingsworth, Lonnie (Texas Classroom Teachers Association) Melina Raab, Ted (Texas Federation of Teachers) Muldoon, Doris (Self) HB 1253 For: Casey, Arthur "Skip" (Coleman I.S.D.) Cruz, Juan (Texas Association of School Boards, and Council of School Attorneys) Soehnge, Karen (Texas Association of School Administrators) Against: Aceli Muldoon, Doris (Self) Hollingsworth, Lonnie (Texas Classroom Teachers' Association) Melina Raab, Ted (Texas Federation of Teachers) Wall, Marjorie (Texas State Teachers Association) On: Conradt, Trish (Texas Retired Teachers Association) HB 1254 For: Cruz, Juan (TX Assn. of School Boards, TX Assn. of School Aministrators, and Council of School Attorneys) Against: Gregg, Brock (ATPE) Hollingsworth, Lonnie (Texas Classroom Teachers Association) Lungwitz, Kevin (Texas State Teachers Association) Melina Raab, Ted (Texas Federation of Teachers) Mendoza, Josephine (Self)


You may submit up to four extra credit essays – a maximum of two of each of the options listed below…
Due May 10, 2016 at 11:59 pm
Objectives:
1. Connect the content of this course with active research areas in the expanding, dynamic field of population ecology.
2. Engage with original scientific literature in this field of study.
Select a peer-reviewed journal article on a topic relevant to population ecology.
Write a response to the article you select:
Due May 10, 2016 at 11:59 pm
Objectives:
Attend (in-person or online) a talk or seminar on a topic relevant to population ecology.
Write a response to the talk you attended:
Upload your written response to WebCampus by May 10.
| Criteria | Details | Points.Possible |
|---|---|---|
| Article selection | Provide complete citation of journal article at the top of your written response: | 1 |
| (1) Peer-reviewed | NA | |
| (2) Topic relevant to course | NA | |
| Summary | One or two paragraphs: | 3 |
| (1) Identify main research question or hypothesis. | NA | |
| (2) Accurately summarize relevant methods | NA | |
| · How were data gathered? | NA | |
| · What analyses were performed to estimate model parameters? | NA | |
| · How was the final model selected? | NA | |
| · Note: Do your best to use plain English for this summary, highlighting what makes sense to you in terms of what we’ve gone over in class. | NA | |
| (3) Accurately relay main findings, conclusions, and/or importance of findings in an ecological context. | NA | |
| Describe application of research to conserve-ation or management | One or two paragraphs | 3 |
| (1) How does this article apply the principles of population ecology to a relevant management or conservation problem? | NA | |
| (2) How could these methods/approaches be applied to a similar (or different!) system, conservation problem, or management issue? | NA | |
| (3) What, if anything, was novel or unusual about this approach or method? Does this article advance the field of population ecology or our understanding of the particular ecological system? | NA | |
| Personal response | One or two paragraphs | 3 |
| (1) Why did you select this article? | NA | |
| (2) What relevance does this article have for either your work in this class, your degree program, and/or your present or future career? | NA | |
| (3) If you were to perform this same study, would you keep everything the same? What would you change? | NA | |
| (4) What did you find particularly interesting, intriguing, or surprising about this study? | NA | |
| #### Grading Rubric, option 2: |
| Criteria | Details | Points.Possible |
|---|---|---|
| Talk selection | Provide complete information about the talk you attended (speaker, title, location/institution, website (if applicable). | 1 |
| (1) Topic relevant to course | ||
| Concepts relevant to course | One or two paragraphs: | 3 |
| (1) Identify specific concepts discussed in the talk that we’ve been learning about in class. | ||
| (2) How were these concepts presented in the talk? | ||
| · What was familiar about how the concepts were discussed? | ||
| · What, if anything, did you learn about these concepts that you hadn’t considered before or that you were unaware about? | ||
| (3) Identify one concept in the talk that either (a) has not been discussed in class, or (b) has been discussed in class but you’d like to learn about it in more depth. | ||
| Describe application of research/ information to conserve-ation or man-agement | One or two paragraphs | 3 |
| (1) What management or conservation problem was the talk primarily concerned with? | ||
| · Explain the management or conservation challenge. | ||
| · Summarize how the researcher attempted to address the challenge using population ecology. | ||
| (2) Do you think the researcher’s approach could be generalized to other systems or species? Why or why not? | ||
| (3) Are you satisfied that the researcher(s) solved the problem? Why or why not? | ||
| Personal response | One or two paragraphs | 3 |
| (1) What did you find particularly effective about this talk? | ||
| · For example: was the researcher a particularly dynamic speaker? Did the audience ask a really insightful question that left you thinking more about the talk? Were the visuals provided effective at communicating essential information? | ||
| (2) If you had to summarize the talk’s “take-away” message in one sentence, what would that sentence be? | ||
| (3) If you were to give a similar presentation to a similar audience, what would you choose to borrow from this talk in order to be an effective communicator? Is there anything you would do differently to make your message more clearly understood? | ||
| (4) What did you find particularly interesting, intriguing, or surprising about this study? |
Note: A “peer-reviewed journal article” is an article that has been reviewed by experts in the topic area as part of the journal’s formal editorial and publication process. To determine whether your article is “peer-reviewed”, go to the Ulrichs database (available through UNR’s Knowledge Center: http://ulrichsweb.serialssolutions.com/) and search for the journal’s name in the search box. On the results page, click on the title of your journal. In the “Basic Description” table that appears, look for the “Refereed” field – if “Yes”, that means the journal is peer-reviewed.
Through UNR’s Knowledge Center:
Search strings to consider:
population ecology AND [taxon or genus or species name]
demographic model AND [taxon or genus or species name]
population growth AND conservation
population dynamics AND management
population model AND harvest
stage-structured population (The “” acts as a wildcard, meaning the search will return results with either “population” or “populations”. This works in Web of Science, but won’t do anything in Google Scholar because Google Scholar automatically searches for results containing the same root but different word endings.)
metapopulation dynamics AND (endangered species OR “species of concern”) predator-prey dynamics


Data structure node. More...
Data Fields | |
| struct tommy_node_struct * | next |
| Next node. | |
| struct tommy_node_struct * | prev |
| Previous node. | |
| void * | data |
| Pointer at the object containing the node. | |
| tommy_key_t | key |
| Key used to store the node. |
Data structure node.
This node type is shared between all the data structures and used to store some info directly into the objects you want to store.
A typical declaration is:
struct object { tommy_node node; // other fields };
Next node.
The tail node has it at 0, like a 0 terminated list.
Previous node.
The head node points to the tail node, like a circular list.
| void* tommy_node_struct::data |
Pointer at the object containing the node.
This field is initialized when inserting nodes into a data structure.
Key used to store the node.
With hashtables this field is used to store the hash value. With lists this field is not used.


NeoEMF loads model elements only when they are accessed, limiting memory consumption and improving loading execution time.
NeoEMF supports many storage solutions. Current version provides implementations for MapDB, Blueprints, Neo4j, and HBase!
We put a special attention to ensure that calling a NeoEMF method produces the same behavior as standard EMF API calls.
Each database implementation provides an autocommit feature that regularly saves changes in order to free the memory.
NeoEMF embeds a set of caches that can be turned on/off. Want to cache features, size results, isSet results? We have what you need!
Importing models from XMI can be painful and costly. That's why we have developped an efficient and scalable XMI parser for you!


eex - collection of web eexperiments
Built by
Dennis Jin
/
tofuness.com
.
Open-sourced on
Github
.
Radial Wave Engine
latest
Lorenz Visualizer
Canvas Life
Satoshi Visualizer
Moiré Pattern
Springy Letters
Einstein Waves
Vector Field
Studies in a Dying Culture
Sine Wave and Circles


Hello guys hope you all doing well So today i am going to share some useful links of ctfs and study material from where you can lift up your skills
Hello guys hope you all doing well So today i am going to share some useful links of ctfs and study material from where you can lift up your skills


Proactively Envision
Collaboratively administrate empowered markets via plug-and-play networks. Dynamically procrastinate B2C users after installed base benefits. Dramatically visualize customer directed convergence without revolutionary ROI.
|
|
Proactively Envision
Efficiently unleash cross-media information without cross-media value. Quickly maximize timely deliverables for real-time schemas. Dramatically maintain clicks-and-mortar solutions without functional solutions.
|
|
Intellectual Capital
Completely synergize resource sucking relationships via premier niche markets. Professionally cultivate one-to-one customer service with robust ideas. Dynamically innovate resource-leveling customer service for state of the art customer service.
|
|


Scroll down to get things moving!
React parallax component, lightweight and powerful.
Supports animating CSS properties that accept numerical values
(opacity
, transform
, height
...) and colors.
It has built-in easing functions or you can provide custom ones.
Detailed documentation is available on GitHub.


{% extends "base.html" %} {% block content %}
submitted on {{post.creation_date}} has {{post.views.count}} views
{{post.description}}


{% extends '_layouts/journey_layout_2-3.html' %} {% block page_title %} Repeat prescriptions from {{ practiceName }} {% endblock %} {% block pageTitle %} Get a repeat prescription from {{ practiceName }} {% endblock %} {% block pageIntro %} {% endblock %} {% block content %}
You can order a repeat prescription if a GP has:
Your GP will tell you how often you can get a repeat prescription. You won’t be able to get a repeat prescription more often than that.
You can call reception to ask for medication that is on your repeat prescription list.
{{ practiceTelephoneNumber }}
Open now
You can use this service to ask the surgery to:


{% extends 'base.html'%} {% import 'bootstrap/wtf.html' as wtf %} {% block styles%} {{ super() }} {% endblock %} {% block content %}
{{ comment.comment }}
By: {{comment.user.username}}
This pitch has no comments. Be the first to comment


Saket Upadhyay
PhD student, University of Virginia
<firstname> {at} virginia {dot} edu
Computer Science Ph.D. student at University of Virgina. Currently, I am working on hardware-level type and
memory safety for modern architectures under Dr. Ashish Venkat.
My research interests are -
- Low-Level software security.
- Micro-architectural security.
- Sub Ring-0 security and privilege escalation.
- x86 CISC processor security.
- Malware detection and analysis.
I am also interested in Malware Detection, Analysis and Reverse Engineering. During my undergraduate I researched on Android malware detection and Nature Inspired Cyber Security (NICS) under Dr. Shishir K. Shandilya, and worked on Threat Detection and Analysis as security research intern in Uptycs.


Estonia, Latvia, Slovenia, Slovakia, Lithuania, Romania - lowest flu vaccination rate among the elderly
by Roxana GhiorghianThe lowest influenza vaccination coverage rates among the elderly - more than 65 years old - in the European Union were recorded in Estonia, Latvia, Slovenia, Slovakia, Lithuania and Romania, compared with an average of 44.3 per cent at the EU level, show data published on Monday by the European Statistical Office (Eurostat).
Thus, the influenza vaccination coverage rate was 4.8 per cent in Estonia, 6.9 per cent in Latvia, 11.8 per cent in Slovenia, 13 per cent in Slovakia, 13.4 per cent in Lithuania and 16 per cent in Romania.
In 2017, the highest influenza vaccination coverage rate among the 21 EU member states among the persons over 65 was recorded in the UK (72.6 per cent), the Netherlands (64 per cent), Portugal (60.8 per cent) and Ireland (57.6 per cent).


This project is a fork of droll and extends its syntax for dice rolling. We mostly follow standard dice notation syntax (see the examples below). To see the results of the dice in a roll please view the console output.
Result:
Below we roll a single d6.
Below we roll a d6 ten times and add upp the results.
Below we roll a d6 ten times and keep the five lowest rolls.
Below we roll a d6 ten times and keep the five highest rolls.
Below we extend the roll from above by adding a constant. Please note that there is no space around the addition sign in this expression.
Below we extend the roll from above by multiplying the dice roll with a constant.
Below we extend the roll from above by repeating the whole roll three times.
Below we extend the roll from above by adding it with another roll. Please note that the space before and after the addition/subtraction symbols is necessary for the parser to work.


?DEPAUW
UN!V
HERBARIUM.
BOTANICAL
Ň>rHerb.
Brasil.
Regnell.
Musei
bot.
Stockholm
Plantż
Itineris
Regnell
┴ani
III.
N:o^^r*
01561423
TRUMAN
G.
YUNCKER
HERBARIUM
OF
DEPAUW
UNIVERSITY
(DPU)
PURCHASED
BY
NY
IN
1987
Cuba:
prov,
ftEW
YO/^
botanical
XPARDEN^
01561423
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