Section 1.6 Rename and Delete from List
In the last Lesson, you learned to delete folders and files from within the File Manager. You also learned to rename folders and files by going through the BrailleNote File Manager. These tasks can be done from within a list when in the BrailleNote Word Processor. After this lesson, you can decide which method is most efficient for you.
Subsection 1.6.1 Tasks
-
Rename a Folder or Document:
Begin at Main Menu. Open Word Processor letter w
-
Open a Document
Toggle to find "Open a Document" space, enter
Directly select "Open a Document" letter o
Find folder you want to rename space
Rename the folder in focus, press backspace + r
BrailleNote displays, "new name for "foldername".
Write the new name for the folder.
To accept the new name enter.
The new name for the folder will be displayed.
Practice as needed.
-
The process is the same for renaming a file.
Focus on the document you want to rename from within the list.
Start rename process backspace + r
-
Erase a Folder or Document:
Begin at Main Menu. Open Word Processor letter w
-
Open a Document
Toggle to find "Open a Document" space, enter
Directly select "Open a Document" letter o
Find folder you want to erase space
This process can only be completed from within a list.
When the folder you want to delete has focus backspace + dots14.
-
The process is the same for erasing a file.
This process can only be completed from within a list.
Focus on the document you want to erase from within the list.
Delete the file backspace + 14
Practice as needed.
Subsection 1.6.2 Quiz
Write the letter of the best answer choice.
-
What is the command to rename a document?
enter + r
backspace + r
space + r
letter r
-
Space + dots1 2 3 4 5 6 will .
reset the BrailleNote.
back up by level.
return to Main Menu.
delete a folder.
-
Press to toggle among the speech modes.
previous + next
space with a full cell
Previous with space
next with space
-
How can you check the time?
space + t
backspace + t
previous with space
backspace with t
-
Enter with dot1 will .
turn volume down
decrease rate
make the pitch lower
make the volume louder
-
To decrease the rate, press .
backspace + dot3
enter + dot6
enter + dot3
enter + dot2
-
Enter + dot2 will .
make the pitch higher
make the pitch lower
make the rate lower
make the volume lower
-
In a document, how can you move back by word?
space + dot3
space + dot1
space + dots25
space + dot2
-
Space with dot6 in a document will
read the current character.
read and move back by character
read forward by character
read forward by word
-
O with space, then letter p will
check the power status.
protect the BrailleNote.
move to previous word.
perform a reset.


Debugging task complete!
If this was a real HIT, the data would be saved now and the HIT submitted to AMT.


Templates are JSP files that include parameterized content; for instance, A JSP Template (chapterTemplate.jsp) lists a template that can be used to produce web pages with the format shown in A Web Page Layout.
<%@ taglib uri='/WEB-INF/tlds/template.tld' prefix='template' %>
<title><template:get name='title'/></title>

<template:get name='sidebar'/>

<template:get name='header'/>

<template:get name='content'/>

<template:get name='footer'/>

template:get is a custom tag that retrieves a Java bean from request scope. That bean contains the URI of a Web component which is subsequently included by template:get. In the template listed in A JSP Template (chapterTemplate.jsp), a bean named header is retrieved from request scope, and the URI--/header.html--is obtained from the bean and included.
Beans retrieved by template:get are put in request scope by template:put, and the template itself is included with template:insert, as illustrated in A JSP Page That Uses theTemplate listed in Example 5-3.a.
<%@ taglib uri='/WEB-INF/tlds/template.tld' prefix='template' %>
<template:insert template='/chapterTemplate.jsp'>
<template:put name='title' content='JSP Templates' direct='true'/>
<template:put name='header' content='/header.html' />
<template:put name='sidebar' content='/sidebar.jsp' />
<template:put name='content' content='/introduction.jsp'/>
<template:put name='footer' content='/footer.jsp' />
</template:insert>
The template:insert start tag specifies the template to be included, in this case chapterTemplate.jsp, listed in A JSP Template (chapterTemplate.jsp). Each template:put tag stores a bean in request scope and the template:insert end tag includes the template.
A direct attribute can be specified for template:put; if the attribute is set to true, the content associated with the tag is not included, but is printed directly to the implicit out variable. For example, in the example code above, the title content--'JSP Templates'--is used as the window title. A web site that has many pages with an identical format would have one template, such as the one listed in A JSP Template (chapterTemplate.jsp), and many JSP pages, such as the code example above, that use the template. If the format is modified, changes are restricted to the template. Another benefit of templates, and including content in general, is modular design. For example, the JSP file listed here ultimately includes header.html, which is as follows:.

Although header.html is an HTML file, it does not contain the usual preamble of tags such as , , etc. because those tags are in the template. Because the template takes care of such housekeeping, included files such as header.html are simpler and less prone to errors.
Templates provide a mechanism to encapsulate web page layout. Because layout is specified in a single template and used for many web pages, the impact of layout changes is reduced to the template itself.
Because the main benefit of templates is reducing the impact of layout changes, templates are most applicable to large websites that have many web pages with identical formats.


Based on spaced repetition technique.
Currently the aim for the system is to be used in the morning and in the evening. If you recall correctly the word, its frequency is increased twice; Minimal frequency is 12 hours.
As you encounter words which are not familiar, add them in the field below, and save them using "Add" button. Click on "Next" button to load a next word to recall. Provide feedback on whether you remembered the meaning of the word or not using "Recalled" or "Forgot" buttons. The frequency of word appearance is adjusted accordingly.


Luncher
Home
Login
Meet our Team
James Basile
Team Leader
Kemberly Eliscar
UI Developer
Justine Gennaro
UI Developer
Armando Roman
UI Developer
Noble Obioma
Front End Architect
Ramses Bermudez
Front End Architect
Sarah Lee
Back End Architect
Nathan Dodds
UX Designer
contact us
<
submit form


An optional bare bones PSR-16 "compliant" file-based cache for SimpleCachePool.
Requires
psr/simple-cache
(any version).
This is not safe for concurrency.
Don't use this if you have a better cache.
Public Methods | |
| __construct (string $dir) | |
| bool | clear () |
| Does nothing. More... | |
| bool | delete ($key) |
CacheInterface:1|2 compatible params. More... | |
| bool | deleteMultiple ($keys) |
CacheInterface:1|2 compatible params. More... | |
| string object mixed | get ($key, $default=null) |
CacheInterface:1|2 compatible params. More... | |
| array | getMultiple ($keys, $default=null) |
CacheInterface:1|2 compatible params. More... | |
| bool | has ($key) |
CacheInterface:1|2 compatible params. More... | |
| bool | set ($key, $value, $ttl=null) |
CacheInterface:1|2 compatible params. More... | |
| $this | setLog (?LoggerInterface $log) |
| bool | setMultiple ($values, $ttl=null) |
CacheInterface:1|2 compatible params. More... | |
| __construct | ( | string | $dir | ) |
| string | $dir |
| bool clear | ( | ) |
Does nothing.
false
| bool delete | ( | $key | ) |
CacheInterface:1|2
compatible params.
| string | $key |
| bool deleteMultiple | ( | $keys | ) |
CacheInterface:1|2
compatible params.
| iterable | $keys |
| string object mixed get | ( | $key, | |
$default = null |
|||
| ) |
CacheInterface:1|2
compatible params.
| string | $key | |
| mixed | $default |
$default
is the only mixed type returned | array getMultiple | ( | $keys, | |
$default = null |
|||
| ) |
CacheInterface:1|2
compatible params.
| iterable | $keys | |
| mixed | $default |
| bool has | ( | $key | ) |
CacheInterface:1|2
compatible params.
This only checks for file existence, regardless of expiration. This is fine, since by principle, cache polling does not guarantee a subsequent hit.
| string | $key |
| bool set | ( | $key, | |
| $value, | |||
$ttl = null |
|||
| ) |
CacheInterface:1|2
compatible params.
| string | $key | |
| string | object | $value | |
| null | int | DateInterval | $ttl | NULL is the same as 0 seconds. |
| $this setLog | ( | ?LoggerInterface | $log | ) |
| null | LoggerInterface | $log |
| bool setMultiple | ( | $values, | |
$ttl = null |
|||
| ) |
CacheInterface:1|2
compatible params.
| iterable | $values | |
| int | DateInterval | $ttl | NULL is the same as 0 seconds. |


--- layout: default title: Open source permalink: /open-source/ ---
You can here find a list of our Github repositories with a lot of cool open source stuff


A doctor at the Amitie Hospital confirmed that one person had died from bullet wounds.
The poor West African nation of about 13 million people has been shaken by violence during weeks of demonstrations over opposition suspicions that President Alpha Conde is seeking a third term in office, banned by the constitution.
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At least 18 civilians and a paramilitary policeman have been killed since October 14. Dozens of people have been wounded and dozens more arrested.
On Thursday, a sea of people draped in red — the colour of the opposition — flooded the streets of the seaside capital, a day after Conde confirmed that parliamentary elections will be held in February.
Clashes erupted when the demonstrators tried to deviate from the route sanctioned by authorities.
AFP correspondents said police then fired tear gas, dispersing the crowd.
The security ministry said the action came after the demonstrators threw stones at the police.
Police used water cannon and a bus was torched during the clashes, images from the scene showed.
Trouble erupted in several outlying areas of the city and explosions were heard.
The latest demonstration came a day after rights group Amnesty International said there were “red lights” flashing in respect to human rights and denounced “massive” and “arbitrary” arrests in the country.
Aminatou Bah, a woman taking part in the Conakry demonstrations said: “We aren’t asking Mr Conde for a lot.”
“We are asking him to drop this diabolical project (of seeking a third term), free prisoners and stop killing Guineans,” she said. AFP


This is a JavaScript port of the https://primitive.lol app, originally created by Michael Fogleman. Its purpose is to re-draw existing images using only primitive geometric shapes.
You can find some additional (technical) information in the GitHub repository. This page acts as a small demo where you can experiment with the algorithm.


Woven Through Time is an interactive touchscreen museum display created for the Ospedale Degli Innocenti in Florence, Italy. The project guides museum visitors through some of the paintings displayed in the museum that feature historical textiles, and the goal of the exhibit is to highlight the relevance of textiles and the Silk Guilds of Renaissance Florence to the Ospedale orphanage.
I researched and created this project in Adobe InDesign with Samantha Steadman for Studio Arts College International (SACI) in Florence, Italy.
Interactive
Demo


Using Search
Trac has a built-in search engine to allow finding occurrences of keywords and substrings in wiki pages, tickets and changeset properties (author, revision and log message).
Using the Trac search facility is straightforward and its interface should be familiar to most users.
Apart from the Search module, you will also find a small search field above the navigation bar at all time. It provides convenient access to the search module from all pages.
"Quickjump" searches
For quick access to various project resources, the quick-search field at the top of every page can be used to enter a wiki link, which will take you directly to the resource identified by that link.
For example:
- [42] -- Opens change set 42
- #42 -- Opens ticket number 42
- !{1} -- Opens report 1
- /trunk -- Opens the browser for the trunk directory
Advanced
Disabling Quickjumps
To disable the quickjump feature for a search keyword - for example when searching for occurences of the literal word TracGuide - begin the query with an exclamation mark (!).
Search Links
From the Wiki, it is possible to link to a specific search, using search: links:
- search:?q=crash will search for the string "crash"
- search:?q=trac+link&wiki=on will search for "trac" and "link" in wiki pages only


| Routine |
Description |
| real |
complex |
|
| SSPCON |
CSPCON CHPCON |
Estimates the reciprocal of the condition number of
a real symmetric/complex symmetric/complex Hermitian indefinite matrix in
packed storage,
using the factorization computed by SSPTRF/CSPTRF/CHPTRF. |
| SSPEV |
CHPEV |
Computes all eigenvalues and, optionally, eigenvectors of
a symmetric/Hermitian matrix in packed storage. |
| SSPEVD |
CHPEVD |
Computes all eigenvalues and, optionally, eigenvectors of
a symmetric/Hermitian matrix in packed storage. If eigenvectors are
desired, it uses a divide and conquer algorithm. |
| SSPEVX |
CHPEVX |
Computes selected eigenvalues and eigenvectors of
a symmetric/Hermitian matrix in packed storage. |
| SSPGST |
CHPGST |
Reduces a symmetric/Hermitian definite generalized eigenproblem
,
,
or ,
to standard form,
where A and B are held in packed storage,
and B has been factorized by SPPTRF/CPPTRF. |
| SSPGV |
CHPGV |
Computes all eigenvalues and optionally, the eigenvectors of
a generalized symmetric/Hermitian definite generalized eigenproblem,
,
,
or ,
where A and B are in packed storage. |
| SSPGVD |
CHPGVD |
Computes all eigenvalues, and optionally, the eigenvectors of
a generalized symmetric/Hermitian definite generalized eigenproblem,
,
,
or ,
where A and B are in packed storage. If eigenvectors are
desired, it uses a divide and conquer algorithm. |
| SSPGVX |
CHPGVX |
Computes selected eigenvalues, and optionally, the eigenvectors of
a generalized symmetric/Hermitian definite generalized eigenproblem,
,
,
or ,
where A and B are in packed storage. |
| SSPRFS |
CSPRFS CHPRFS |
Improves the computed solution to
a real symmetric/complex symmetric/complex Hermitian indefinite system of linear
equations
A X=B,
where A is held in packed storage,
and provides forward and backward error bounds for the solution. |
| SSPSV |
CSPSV CHPSV |
Solves a real symmetric/complex symmetric/complex Hermitian indefinite system
of linear equations
A X=B,
where A is held in packed storage. |
| SSPSVX |
CSPSVX CHPSVX |
Solves a real symmetric/complex symmetric/complex Hermitian indefinite system
of linear equations
A X=B,
where A is held in packed storage,
and provides an estimate of the condition number
and error bounds on the solution. |
| SSPTRD |
CHPTRD |
Reduces a symmetric/Hermitian matrix in packed storage
to real symmetric tridiagonal form
by an orthogonal/unitary similarity transformation. |


Strength:
Cunning:
Speed:
Fatigue:
Start Battle!


Welcome to Nutrition Evaluation, where you can find the information you need to reach your nutrition and fitness goals.
Our Calorie Counter is a free online diet and exercise journal that allows you to track your nutrient intake and determine the calories you burn during exercise. Whether you want to lose weight, gain weight, or simply better manage a healthy lifestyle, Our Calorie Counter will help you reach your goals.
We are committed to providing our audience with trusted, real-world, evidence-based health information from the nation's leading healthcare providers and patient advocates, alongside personal patient perspectives and health consumer insights from those on the front lines, in real time.
Help users eat properly by tracking calories and controlling eating habits, providing tips on the nutritional value of foods, and. Example: The goal of Noom Coach is not only to teach users how to eat healthy food but also to make it a habit.
We are proud to play a part in helping you live your best life. Our experienced team is committed to creating content you not only turn to, but count on along the way.


Our products are random and Great
By your first tank for low low price of $95,000
Gold is good for a backup plan if the financial market blows up
Doritos is an American brand of flavored tortilla chips produced since 1964 by Frito-Lay, a wholly owned subsidiary of PepsiCo.


In this early version, the only available criterion is No Restriction
Every address is allowed to vote.


Phoenix Point Research Viewer
Data XML:
Reload
Meta
Descriptions
Minutiae
Dark Mode
Requires JavaScript
Please select the xml files dumped by the
Dump Data
mod, all 20+ of them.
All data will be processed locally; nothing will be uploaded.


AUDISPD:
Section: System Administration Utilities (8)Updated: Sept 2007
Index Return to Main Contents
NAME
audispd - an event multiplexorSYNOPSIS
audispdDESCRIPTION
audispd is an audit event multiplexor. It has to be started by the audit daemon in order to get events. It takes audit events and distributes them to child programs that want to analyze events in realtime. When the audit daemon receives a SIGTERM or SIGHUP, it passes that signal to the dispatcher, too. The dispatcher in turn passes those signals to its child processes.The child programs install a configuration file in a plugins directory, /etc/audisp/plugins.d. Filenames are not allowed to have more than one '.' in the name or it will be treated as a backup copy and skipped. Options are given one per line with an equal sign between the keyword and its value. The available options are as follows:
- active
- The options for this are yes or no.
- direction
- The option is dictated by the plugin. In or out are the only choices. You cannot make a plugin operate in a way it wasn't designed just by changing this option.This option is to give a clue to the event dispatcher about which direction events flow. NOTE: inbound events are not supported yet.
- path
- This is the absolute path to the plugin executable. In the case of internal plugins, it would be the name of the plugin.
- type
- This tells the dispatcher how the plugin wants to be run. Choices are builtin and always. Builtin should always be given for plugins that are internal to the audit event dispatcher. These are af_unix and syslog. The option always should be given for most if not all plugins. The default setting is always.
- args
- This allows you to pass arguments to the child program. Generally plugins do not take arguments and have their own config file that instructs them how they should be configured. At the moment, there is a limit of 2 args.
- format
-
The valid options for this are
binary
and
string.
Binary
passes the data exactly as the audit event dispatcher gets it from the audit daemon. The
string
option tells the dispatcher to completely change the event into a string suitable for parsing with the audit parsing library. The default value is
string.
FILES
/etc/audisp/audispd.conf /etc/audisp/plugins.dSEE ALSO
audispd.conf(5), auditd(8).AUTHOR
Steve Grubb
Index
This document was created by man2html, using the manual pages.
Time: 05:34:24 GMT, December 24, 2015


JavaScript Event Challenge: Challenge 24
Here is a paragraph of text
Here is another paragraph of text
Here is a third paragraph of text
Add a paragraph


R3DZ3R
Hi! I'm R3DZ3R! I'm the creator of many Fancade games!
Under Construction
This website is under construction. Here, have a link to The Nonsense Galaxy Discord server :)
Hi! I'm R3DZ3R! I'm the creator of many Fancade games!
This website is under construction. Here, have a link to The Nonsense Galaxy Discord server :)


Hello world, I'm Mita, or
Milos Rancic.
I'm a frontend developer and law graduate.
Below you can check out some of my work. So, if you need a web app or a new website, updating or fixing an excisting one, I'm pretty sure we can work something out.
Want to know more? Send me an email
let's create something magnificent together


Town Library
Home
Events
Now what?
GIS
About
Home
@MattyIce
Explore our E-resources
Best Free Reference Websites: 1999-2016
WorldCat - Search library catalogs across the world
Overdrive - Access to your favorite eBooks, audiobooks, and video
Hoopla - Music, movies, audiobooks, eBooks, and more
Kanopy - Stream movies with your library card
WBUR - The latest from Boston's largest NPR affiliate
Duolingo - Learn languages for free


Logstash Plugin
This is a plugin for Logstash.
It is fully free and fully open source. The license is Apache 2.0, meaning you are pretty much free to use it however you want in whatever way.
Documentation
Logstash provides infrastructure to automatically generate documentation for this plugin. We use the asciidoc format to write documentation so any comments in the source code will be first converted into asciidoc and then into html. All plugin documentation are placed under one central location.
- For formatting code or config example, you can use the asciidoc
[source,ruby]
directive - For more asciidoc formatting tips, see the excellent reference here https://github.com/elastic/docs#asciidoc-guide
Need Help?
Need help? Try #logstash on freenode IRC or the https://discuss.elastic.co/c/logstash discussion forum.
Developing
1. Plugin Developement and Testing
Prerequisites
- A Domo Account
- A ClientID and Client Secret associated with a Domo App that has Data scope
- Docker
- JRuby <IP_ADDRESS>
- Version 1.17.2 of the Bundler gem
- make
Code
- Install dependencies and build the Docker images
sh make libbuild make build
Test
Before testing for the first time copy testing/rspec_settings.yaml.example
to testing/rspec_settings.yaml
and populate it with your Client ID and Client Secret.
Basic Testing
sh
make test
Advanced Testing
###### Rspec tags
The Makefile can dynamically pass arguments to rspec
in the Docker container based on the following environment variables:
- RSPEC_TAGS
- A space separated list of tags to pass via the --tag
rspec
switch.
- RSPEC_ARGS
- A space separated list of arbitrary arguments to pass to rspec
. --
should be excluded from the args.
- KEEP_FAILED_DATASETS
- If this environment variable exists at all, then Datasets on failing tests will NOT be deleted.
Any combination of the above variables can be exported before running make test
. If not, then all rspec
tests will be run with default arguments.
If you’re really curious/adventurous feel free to review the Makefile
2. Running your unpublished Plugin in Logstash
#### 2.1 Prerequisites - You’ll need at least one Redis instance to connect to for the queue. - You’ll want to review the various configuration options for the plugin.
2.2 Run in a local Logstash clone
- Edit Logstash
Gemfile
and add the local plugin path, for example:ruby gem "logstash-output-domo", :path => "/your/local/logstash-output-domo"
- Install plugin
sh bin/logstash-plugin install --no-verify
- Run Logstash with your plugin
sh bin/logstash -e 'output {domo {}}'
At this point any modifications to the plugin code will be applied to this local Logstash setup. After modifying the plugin, simply rerun Logstash.
2.2 Run in an installed Logstash
You can use the same 2.2 method to run your plugin in an installed Logstash by editing its Gemfile
and pointing the :path
to your local plugin development directory or you can build the gem and install it using:
- Build your plugin gem
sh gem build logstash-output-domo.gemspec
- Install the plugin from the Logstash home
sh bin/logstash-plugin install /your/local/plugin/logstash-output-domo.gem
- Start Logstash and proceed to test the plugin
Contributing
Pull requests are more than welcome. Just follow the standard pull request procedure (clone, branch, and request). ALL unit tests must pass for a pull request to be considered for review.
Do note that this plugin was developed first and foremost for our company’s internal usage. We chose to make this open source to keep with the spirit of Elastic’s open source model, not so we could spend a lot of time providing support to plugin users. As such, we cannot provide any guarantees on how long it will take to approve pull requests or review bugs.
Do NOT reach out to our company’s support regarding issues with this plugin. Please instead create an Issue on Github.


module Type: sig
.. end
Dynamic types
type
t =
| |
Unit |
| |
Bool |
| |
Float |
| |
Char |
| |
String |
| |
Int of int option |
| |
Enum of t |
| |
Tuple of t list |
| |
Dict of (string * [ `RO | `RW ] * t) list |
| |
Sum of (string * t list) list |
| |
Option of t |
| |
Rec of string * t |
| |
Var of string |
| |
Arrow of t * t |
| |
Ext of string * t |
Utility functions
val is_mutable : t -> bool
is_mutable t
checks whether t
contains a mutable field
val free_vars : t -> string list
free_vars t
returns all the free variables of type t
.
If t
is unfolded (as it should be when calling type_of_t
,
this call should return an empty list.
val foreigns : t -> string list
foreigns t
returns all the type variables appearing in t
.
val unroll : (string * t) list -> t -> t
unroll env t
replaces every type appearing in t
by its type value defined in env
.
Sub-typing
val is_subtype_of : t -> t -> bool
is_subtype_of s t
checks whether s
is a sub-type of t
. Sub-typing relation is based on
naming. Basically, s
is a sub-type of t
if (i) named attributes have either compatible types
(ii) or some fields/methods defined in t
do not appear in s
.
val (<:) : t -> t -> bool
s <: t
is a short-cut for is_subtype_of s t
val string_of_last_type_error : unit -> string
Returns the more recent failing sub-type relation tested by (<:)
or is_subtype_of
Pretty-printing
val to_string : t -> string
to_string t
pretty-prints the type t
exception Parse_error of string
Exception that may be raised by !of_string
val of_string : string -> t
of_string str
returns the type t
corresponding to the pretty-printed string str
. Raises !Parse_error
if is not a valid string


{% load i18n horizon %}
{% blocktrans trimmed %}Important: The name that you give your job binary will be the name used in your job execution. If your binary requires a particular name or extension (ie: ".jar"), be sure to include it here.{% endblocktrans %}
{% blocktrans %}Select the storage type for your job binary.{% endblocktrans %}
{% blocktrans %}For Data Processing internal job binaries, you may choose from the following:{% endblocktrans %}
{% blocktrans %}For Object Store job binaries, you must:{% endblocktrans %}
{% blocktrans %}For S3 job binaries, you must:{% endblocktrans %}
{% blocktrans %}You may also enter an optional description for your job binary.{% endblocktrans %}


GOOD NEWS
Mekala Osborne – Scots personal trainer who was in coma on Vietnam ‘set to return home’ after two month ordeal
by Jonathan WhitelawA SCOTS personal trainer left fighting for her life in Vietnam after falling ill is finally set to return home, it's reported.
Mekala Osborne, 22, was placed in an induced coma after developing pneumonia while travelling in South East Asia.
Mekala has spent months in intensive care in a hospital in Hoi An, Da Nang.
Mum Yvonne and stepdad Jimmy McAulay, 64, both jetted out to be at her side.
And it emerged Mekala, from Wallyford, East Lothian, was to be transported to Singapore “as a matter of urgency”.
Now it's understood that she will finally fly back to the UK this weekend, after months in hospital abroad.
The BBC reports that her condition deteriorated so badly her family was told she had a 5% chance of survival.
And that she's now been moved onto a portable ventilator and is well enough to come home.
Jimmy said: " It has taken a long time to get her well enough to travel and cope with the cabin pressure.
"When she gets back she is likely to be in intensive care for two weeks.
"She will need intense physio due to muscle wastage.
"They say it will be a year before she is back to full health."
Well-wishers have raised over £12,000 to help support Mekala's family with the costs of travel and treatment.


This page was done for a project of Linux in Embeded systems in Technical University of Warsaw
dzitkowskik@student.mini.pw.edu.pl


Use the [ and ] keys to cycle between demos.
The initial page lets you compare the different color spaces and how each one shows the same color description.
Describe colors using SimplePalette's syntax in the text fields. This looks like "dullest red purple" or "lighter rich brown". The adjectives are "light", "dark", "rich", and "dull"; these can be made stronger by adding "er", "est", or "most" to the end (really any 2, 3, or 4 letters will work).
The colors (with names and previews) are described on this page.


TMDoProgramJob Code Example
long session_handle;
unsigned char state_buffer[15360];
short result;
/* session_handle set from a call to TMExtendedStartSession */
...
/* get the unique registration number of the device to communicate with using TMFirst,TMNext,TMRom... */
...
/* TMCreateProgram job called and a successful write operation has been done */
...
do
{
result = TMDoProgramJob(session_handle, state_buffer);
if (result < 0)
{
/* error doing Program Job, prompt user to correct */
...
}
}
while (result != 1);
/* close the session with a call to TMEndSession */
...


Example Programs
Next:
Reading an Image
Up:
A Descritpion of the
Previous:
SingleGroup and MultiGroup
Example Programs
Reading an Image or Image groups
Illustration of Low-Level I/O Routines
Sdas Group
Wed Aug 21 10:27:26 EDT 1996


 A withdrawal fee of 0.02 KMD will be automatically deducted from the amount. Additionally, 10% of deducted withdrawal fee will be donated to the bot author to help continual development.
!kmdtip <@user> <amount|all> [private]
Tips the @ mentioned user with the desired amount, e.g.
!kmdtip @test123456#7890 1.00
!kmdtip rain <amount|all> [<@role>]
Rains the desired amount onto all online users (optionally, within specified role), e.g.
!kmdtip rain 10.00, !kmdtip rain 10.00 @Supporters
!kmdtip soak <amount|all> [<@role>]
Soaks the desired amount onto all online and idle users (optionally, within specified role), e.g.
!kmdtip soak 5.00, !kmdtip soak 5.00 @Supporters
!kmdtip thunder <amount|all> [<@role>]
Tips a random lucky online user with the amount (optionally, within specified role), e.g.
!kmdtip thunder 5.00, !kmdtip thunder 5.00 @Supporters
!kmdtip faucet
Gets an amount from the faucet (applicable every 4 hours)
!kmdtip listtransactions <numberOfDays>
Generates an audit log of user's transactions for the last specified number of days
!kmdtip blockheight
Gets the current block height and block hash
!kmdtip peers
Generates an addnode list


I am an Algorithm Engineer at the AI Lab of SAIC Motor. Before moving to industry career, I was an Master student at UCLA Computer Science Department.
I foucs on the vision perception solutions for production-level autonomous driving including L2/3 ADAS, L4 Robotaxi, and DMS. I am also engaged in machine learning research, recently in Multi-views(BEV) 3D vision perception, monocular 2/3D vision perception, self-supervised/representation learning.
[E-mail] [CV] [Github] [LinkedIn]
Multi-Scale Occ: 4th Place Solution for CVPR 2023 3D Occupancy Prediction Challenge
Yangyang Ding*, Luying Huang*, Jiachen Zhong
Tech report of CVPR 2023 Autonomous Driving Challenge.
[PDF] [Official leaderboard] [EvalAI]
Understanding the Robustness of 3D Object Detection with Bird’s-Eye-View Representations in Autonomous Driving
Zijian Zhu, Yichi Zhang, Hai Chen, Yinpeng Dong, Shu Zhao, Wenbo Ding, Jiachen Zhong, Shibao Zheng
Computer Vision and Pattern Recognition Conference (CVPR), 2023.
[PDF]
WS-3D-Lane: Weakly Supervised 3D Lane Detection With 2D Lane Labels
Jianyong Ai, Wenbo Ding, Jiuhua Zhao, Jiachen Zhong
International Conference on Robotics and Automation (ICRA), 2023.
[PDF] [Code]
Improving the Speed and Quality of GAN by Adversarial Training
Jiachen Zhong, Xuanqing Liu, Cho-Jui Hsieh
ArXiv Preprint, 2020.
[PDF] [Code] [MS Thesis Version]
Fashion Popularity Analysis based on Online Social Network via Deep Learning
Jiachen Zhong, Rita Tse, Gustavo Marfia, Giovanni Pau
International Conference on Digital Image Processing (ICDIP), 2019.
[PDF] [DOI] [BS Thesis Version]
© Copyright 2023 Jiachen Zhong. Last updated: May 21, 2023.


Trade barriers are tariff, non-tariff or overseas direct investment restrictions that delay or block your exports.
You might be facing a barrier if, for example:
- your goods are delayed from getting to market by lengthy customs procedures
- you supply services and you have to pay unnecessary charges that do not apply to domestic suppliers
You can see more examples of trade barriers.


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
Dietary
A recipe for sticky toffee pudding is sacred in the kitchen of a discerning cook.
Preheat the oven to 180C/350F/Gas 4.
Pour 275ml/10fl oz boiling water into a large mixing bowl and add the dates. Stir and set aside until lukewarm. Meanwhile, measure out all the other ingredients for the sponge. Add them to the dates and water and mix together until well combined.
Blend the date mixture in a food processor until nearly smooth, but with a few specks of date still visible. Generously butter a baking dish on all surfaces and pour in the sponge batter. Bake for 40 minutes, or until just firm to the touch.
Preheat the grill to medium.
Meanwhile, make both the topping and the extra sauce by heating the ingredients gently in separate pans, whisking regularly, until they briefly boil. Pour the topping over the cooked pudding.
Place the sticky toffee pudding under a moderate grill until bubbling.
To serve, spoon the pudding into individual bowls and pour around the extra sauce.


If you couldn't guess by the title, I'm a dog person. Maybe it was tramatic childhood experience when my cat randomly jumped on my head and shredded my scalp for no apparent reason. Maybe it's their, "I don't care what you want" attitude. All I can say is that Dogs RULE!
Here are some pictures to make my point....
Absolutely no cats where harmed in the making of this website.


We're sorry but vue-wheel-drawer doesn't work properly without JavaScript enabled. Please enable it to continue.


Notes on Neal Stephenson's USENIX Keynote
Here. As a frustrated fiction author myself, I find this very cool:
"He rented a modern typewriter, secluded himself in his apartment and started to type. Soon a problem appeared: the typewriter had a modern plastic ribbon. The plastic mellowed and became sticky: it was July in Iowa City, and the apartment was hot. The only way to prevent the ribbon from getting stuck is to keep the ribbon moving. And the only way to keep the ribbon moving is to keep pressing the keys. That discovery did wonders for his productivity."
This is *so* different from how I write, but it makes a really good story. : ) Plus, he adopted another technique later.
"For instance, many stories of Charles Dickens were first published in a magazine, over a course of several months. It is not often emphasized that Dickens didn't have time to distill his novels and to write draft after draft. He had to write in monthly installments, with barely a time for one draft."
This is how I like to write. I write up articles, post them various places, get feedback and then use those as draft material for the chapters in my books. It works really well, I think, both because it produces better material and because my hardcore audience doesn't have to write for the book publishing process for a lot of the material.


| READ-Reading |
| C |
12268 |
READ |
1000 |
K02 |
24M |
3.000 |
Reading Skills Enrichment |
MWF |
10:20 am-11:15 am |
12 |
14 |
-2 |
0 |
0 |
0 |
Debra Lee Haber (P) |
01/17-05/04 |
KOM 126 |
MT Engage and Prescribed Course and Raider Learning Community and Must have Permission to Drop and Credit from 4-Year College and Prescribed Course-Reading II and Prescribed Course--LS Read 1 and Prescribed Course--LS Read 2 |
| C |
12269 |
READ |
1000 |
K03 |
24M |
3.000 |
Reading Skills Enrichment |
MW |
12:40 pm-02:05 pm |
12 |
12 |
0 |
0 |
0 |
0 |
Debra Lee Haber (P) |
01/17-05/04 |
KOM 126 |
MT Engage and Prescribed Course and Raider Learning Community and Must have Permission to Drop and Credit from 4-Year College and Prescribed Course-Reading II and Prescribed Course--LS Read 1 and Prescribed Course--LS Read 2 |
| C |
12747 |
READ |
1000 |
K04 |
24M |
3.000 |
Reading Skills Enrichment |
TR |
08:00 am-09:25 am |
12 |
12 |
0 |
0 |
0 |
0 |
Georganne Ross (P) |
01/17-05/04 |
KOM 126 |
Prescribed Course and Raider Learning Community and Must have Permission to Drop and Credit from 4-Year College and Prescribed Course-Reading II and Prescribed Course--LS Read 1 and Prescribed Course--LS Read 2 |
| NR |
13034 |
READ |
1000 |
K05 |
24M |
3.000 |
Reading Skills Enrichment |
TR |
11:20 am-12:45 pm |
12 |
10 |
2 |
0 |
0 |
0 |
Georganne Ross (P) |
01/17-05/04 |
KOM 126 |
Prescribed Course and Raider Learning Community and Must have Permission to Drop and Credit from 4-Year College and Prescribed Course-Reading II and Prescribed Course--LS Read 1 and Prescribed Course--LS Read 2 |
| C |
12748 |
READ |
1000 |
K06 |
24M |
3.000 |
Reading Skills Enrichment |
MW |
04:10 pm-05:35 pm |
12 |
13 |
-1 |
0 |
0 |
0 |
Debra Lee Haber (P) |
01/17-05/04 |
KOM 126 |
MT Engage and Prescribed Course and Raider Learning Community and Must have Permission to Drop and Credit from 4-Year College and Prescribed Course-Reading II and Prescribed Course--LS Read 1 and Prescribed Course--LS Read 2 |
| C |
15801 |
READ |
1000 |
K08 |
24M |
3.000 |
Reading Skills Enrichment |
TR |
01:00 pm-02:25 pm |
12 |
13 |
-1 |
0 |
0 |
0 |
Debra Lee Haber (P) |
01/17-05/04 |
KOM 126 |
MT Engage and Prescribed Course and Raider Learning Community and Must have Permission to Drop and Credit from 4-Year College and Prescribed Course-Reading II and Prescribed Course--LS Read 1 and Prescribed Course--LS Read 2 |
| C |
13337 |
READ |
4015 |
001 |
24M |
6.000 |
Language and Literacy, K-6 |
TR |
08:00 am-11:00 am |
25 |
25 |
0 |
0 |
0 |
0 |
Beverly Joan Boulware (P), Samantha Lauren Kirby |
01/17-05/04 |
COE 251 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| NR |
10081 |
READ |
4015 |
002 |
24M |
6.000 |
Language and Literacy, K-6 |
MWF |
08:00 am-10:05 am |
24 |
17 |
7 |
0 |
0 |
0 |
Christy Lynn Rowe (P) |
01/17-05/04 |
COE 240 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| NR |
16415 |
READ |
4015 |
003 |
M02 |
6.000 |
(EXL)Language and Literacy, K-6 |
TR |
10:00 am-01:00 pm |
24 |
9 |
15 |
0 |
0 |
0 |
Terri J Tharp (P), Alison Marie Harris |
01/17-05/04 |
M02 LOCATION |
Experiential Learning and Off Campus and College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| NR |
10082 |
READ |
4035 |
001 |
24M |
6.000 |
Language and Literacy in the Middle Grades |
TR |
08:00 am-11:05 am |
24 |
6 |
18 |
0 |
0 |
0 |
Suzette Swift Gilbert (P), Victoria Meghann Carey , Katelynn Eve Cunningham |
01/17-05/04 |
COE 246 |
College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| NR |
15109 |
READ |
4130 |
003 |
24M |
3.000 |
Corrective Reading |
TR |
08:00 am-09:25 am |
16 |
12 |
4 |
0 |
0 |
0 |
Ann A Wagner (P) |
01/17-05/04 |
COE 142 |
Must have Permission to Drop and College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| NR |
15159 |
READ |
4130 |
004 |
24M |
3.000 |
Corrective Reading |
M |
04:30 pm-07:30 pm |
16 |
12 |
4 |
0 |
0 |
0 |
Katie Marie Schrodt (P) |
01/17-05/04 |
COE 150 |
Must have Permission to Drop and College of Educ Course Fee and Credit from 4-Year College and Upper-Division Work |
| NR |
12145 |
READ |
5130 |
003 |
24M |
3.000 |
Literacy Assessment |
M |
04:30 pm-07:30 pm |
24 |
8 |
16 |
0 |
0 |
0 |
Beverly Joan Boulware (P), Layla Jayne Smallwood |
01/17-05/04 |
COE 146 |
College of Educ Course Fee |
| NR |
11843 |
READ |
5460 |
002 |
24M |
3.000 |
Content Literacy |
R |
04:30 pm-07:30 pm |
25 |
24 |
1 |
0 |
0 |
0 |
Alyson Smith Bass (P), Renan Santos Tormin |
01/17-05/04 |
COE 250 |
College of Educ Course Fee |
| NR |
10139 |
READ |
6520 |
001 |
24M |
3.000 |
Teaching Reading |
W |
04:30 pm-07:30 pm |
24 |
17 |
7 |
0 |
0 |
0 |
Alyson Smith Bass (P), Renan Santos Tormin |
01/17-05/04 |
COE 102 |
College of Educ Course Fee |


Introduction¶
Welcome to the RLCatalyst Command Center user-guide. This user-guide is designed to provide documentation for users who will be installing, administering and using the Command Center product.
Command Center
What is RLCatalyst Command Center¶
RLCatalyst Command Center is a cloud-based software product that can be used to monitor services and their underlying infrastructure. The product provides early detection and warning of problems in the targeted services or infrastructure. The product also provides capabilities to integrate problem tickets and capture incident details which can help to narrow down root cause.
Planning your deployment
RLCatalyst Command Center is capable of multi-tenancy. Using the same instance of the software, you can create several tenants. Each tenant can configure his own machines for monitoring. Each tenant can also configure his own cloud accounts and get an independent view of his cloud assets.
Creating your first tenant
To plan the creation of a new tenant, use the planning sheet in Appendix A to collect all the information required upfront. Keep the sheet handy as you go through the following steps.
Open a browser (we recommend Chrome or Firefox). Enter the Application URL provided. The login page should open.


Simple
IRS Based Calculations
Detailed
User Entered Calculations
Miles to work
Minutes to work
Hourly wage
$/gallon of gas
MPG of your car
Cost of new set of tires
Miles said tires last
Cost of oil change
Miles inbetween oil changes
Cost of misc maintenance
Miles said maintenance lasts
Cost of insurance each month
See your input totals!
See your round trip results!
See your weekly results!
See your ten year results!
All results are displayed in US Dollars.
Miles to work
Minutes to work
Hourly wage
See your round trip results!
See your weekly results!
See your ten year results!
All results are displayed in US Dollars.
×
Today is not your lucky day...
Mr. Money Mustache will be punching you in the face due to the amount of commuting you're doing!…


--- layout: default --- Introduction Open color is a color scheme for UI design. You can use it for font, background, border, etc. It contains a gray and twelve colors. All the colors are perceptible by color blind (specifically deuteranopia and protanopia) people. Installation {% highlight bash %}$ npm install open-color{% endhighlight %} Variable convention SASS, SCSS: {% highlight scss %}$oc-(color)-(number){% endhighlight %} LESS: {% highlight less %}@oc-(color)-(number){% endhighlight %} oc Abbreviation for Open color (color) Color name like gray, red, lime ect. (number) 0 to 9. 0 to 9. Brightness spectrum. How to use Import the file to your project and use the variables. Example for SASS, SCSS {% highlight scss %}@import 'path/open-color'; .body { backgrond-color: $oc-gray-0; color: $oc-gray-7; } a { color: $oc-teal-7; &:hover, &:focus, &:active { color: $oc-indigo-7; } } {% endhighlight %} Example for LESS {% highlight scss %}@import 'path/open-color'; .body { backgrond-color: @oc-gray-0; color: @oc-gray-7; } a { color: @oc-teal-7; &:hover, &:focus, &:active { color: @oc-indigo-7; } } {% endhighlight %}
Open color is a color scheme for UI design. You can use it for font, background, border, etc. It contains a gray and twelve colors. All the colors are perceptible by color blind (specifically deuteranopia and protanopia) people.


Becoming a Headspringer: My First Week
Welcome Number 7941
I’d like for you to take a moment and imagine that today is your first day at a new company. You enter the building wearing the carefully selected slacks and shirt ironed the night before. You’re filled with nervous energy, but confident, because out of the fifty plus candidates, who did they select to write their new custom software solution? That’s right, you.
The friendly HR rep that recruited you shakes your hand and leads you to a large conference room where you attend a new hire orientation. You’re promptly handed an employee handbook the size of a telephone book and sit down. Opening to a random page on Computer/IT Usage policies you learn that it’s against company policies to look at **cough** questionable **cough** images on company computers. Interesting, you think to yourself, I figured that was common knowledge.
Over the next four hours you listen to HR representatives speak about company history, company policies, and benefits. You fill out form after form of information asking for social security numbers, driver’s license number, passport number and other private information. You’re handed a badge with an employee number, 7941.
Next they take you on a tour of the office. On the first floor is sales, marketing and HR. On the second floor is Engineering. At this point you’ve been blasted with so much canned information that mentally you only take note of the bathroom locations.
The elevator door opens on the third floor and your tour guide herds your group through the sea of Customer Service cubicles until you reach the IT department and HR hands you off to your new tour guide, your manager. He or she introduces you to the entire team and leaves you in your cubicle.  You think to yourself, what does a software developer do without a computer?
How many of you have a page, just like this, written in your life story?  At Headspring, there’s a better way…
The Four Core Values
Let me start off by saying, at Headspring, things are different. You quickly learn the following four core values are deeply held at the core of a Headspringer.
- Drive for Excellence
- People are Valued
- Honest Communication
- Passion for Learning and Growth
Within the first week, time and time again I witnessed Headspringers demonstrating these four values in every interaction. Let me take a few moments to detail just a few of them.
A week before my start date I received a delivery of piping hot, freshly baked cookies from the founder and CEO, Dustin Wells. Now I’m definitely not known to have a sweet tooth, but the cookies were just plain awesome; and seriously, how cool is that to have the owner of the company value me as a new hire?
Three business days before my start date, I received an email from the director of software development, Glenn Burnside. I was the proud owner of a shiny new Headspring Google account. Being a naturally curious person, I logged in to find ten or more introduction emails to various systems such as the Intranet, BitBucket repositories, and Agile Zen Projects. Wow, I haven’t started yet and I’m already trusted with sensitive information such as the admin credentials to the production server. This level of transparent communication across an organization was and still is amazing to me.
On my first day at the Headspring office I arrived to find my desk already outfitted with business cards, moleskine journals, a Headspring shirt, and most importantly a fully configured laptop with two 24” monitors. When I say fully configured, I don’t mean it has RAM, a working Hard Drive and is plugged in. I mean that it’s fully configured with almost every software development tool that I use, from TestDriven.Net to Notepad++ to Redgate SQL Toolbelt. I only downloaded and installed the obscure tools that I use such as Beyond Compare, Wunderlist, gVim, and Cygwin. By the end of the day, with guidance from teammates, I was up and running, tackling tasks in the backlog.
Four days into the new job and I had my first one-on-one meeting with Glenn. Here we talked candidly about expectations and goals. The conversation drifted towards the on ramp process and during that discussion he asked for my opinion and took a suggestion I had on the process.
That’s when it hit me. The four core values are a deep commitment at Headspring starting from the top leadership all the way down. Glenn had taken something so simple like the on ramp process of a new employee and the drive for excellence had motivated everyone to thoughtfully deconstruct and improve the process. This is what it means to be a Headspringer.
Working at Headspring has already been an amazing experience. It’s a pleasure to work with individuals who have a deep passion and commitment to developing not only software, but each other. So I feel compelled to ask you this question. What’s keeping you from applying?


Table of Contents |
Installing the HASP DriversThis screen displays the location on your computer where your license file was saved. Your license requires that a HASP driver be installed on your system. In addition, your license may require that a license server be installed and running before your product will be properly licensed. Options on this screen allow you to install the HASP driver and optionally to install and start a license server on your local computer.
To Install the HASP DriverThe Install HASP device driver check box is checked by default. Unless you know that you already have a HASP driver installed and do not want to install the version included with your ITT Visual Information Solutions product, leave this box checked. To Install and Start a Local License ServerIf your license requires a license server, check boxes that allow you to install and start the server will be visible. If you are installing your ITT Visual Information Solutions product for the first time, do the following: To Restart an Existing Local License ServerIf your license requires a license server, and you are updating an existing license on an existing local license server, you must shut down and restart the license server before your updated license will be recognized. To restart the license server, do the following: ITT Visual Information Solutions (February 17, 2009) |


As an SSO provisioning step, you need to provide the Okta identity provider metadata to Sentry. This metadata is specific to your Okta account. To retrieve the identity provider metadata from Okta:
Log into Okta, click Administration.
Click the Applications tab.
Click the application that you added for Sentry SSO


Recursive list sum (from pythontutor.com home page):
Towers of Hanoi:
Happy Birthday:
This one tests your knowledge:


--- layout: default title: Eduardo Castillejo, PhD. ---
My main research areas gather Big Data, Adaptive User Interfaces, Pervasive and Context-Aware Computing, Internet of Things, Semantic Web, Adaptive Semantic Middleware, Linked Open Data and Social Data Mining. In 2015 I have been honored with the PhD recognition thanks to my dissertation entitled "Dynamic User Interface Adaptation Engine Through Semantic Modelling and Reasoning for Mobile Devices", advisored by Dr. Diego López de Ipiña and Dr. Aitor Almeida.
In 2013 I spent a 6 week research stay at the University of Ulster under the supervision of Dr. Liming Chen.
I finished my degree on Computer Engineering in 2008 at the University of Deusto. Since then, I've kept "training" myself through the last years, finishing a MSc in Software Development in 2010 and my PhD in 2015 at the same university.
Research Assistant in the Internet unit at MORElab - Envisioning Future Internet research group at DeustoTech – Deusto Institute of Technology, at the University of Deusto. I've been working in this group between 2008 and 2015 taking part in some local, national and European research projects (PIRAmIDE, ACROSS, THOFU, DYNUI, MUGGES...) and different proposals. I have collaborated with other research projects, like mCiudad and Zebra Crossing ZXing (see the official announcement here). Besides, I have taken active part in many scientific publications related with these research projects.


{% extends "base.html" %} {% block title %}Questions{% endblock %} {% block page_heading %}
Currently all questions are based in Python 3.


lateinit var logger: Logger
This logger is configured in main method to save the logs in the directory expressed in the BASE_DIR parameter. The main method wait the termination of the OSGi framework, hence it can be used for tests, hence this logger is public to allow test code to set it without calling main.


The database engine underlying Proximity, MonetDB, uses a vertically fragmented design. This design stores all data in two-column tables called BATs (binary association tables). All BATs include a head column that contains an identifier (OID) and a tail column that contains data. The contents of the tail can also point to other tables. Thus, rather than the object-centric view provided by familiar relational databases where an entity’s attributes are stored in the columns of a table, Proximity uses separate tables for each attribute. Other tables store the Proximity ID for each object or link in the database. Each attribute value is associated with the appropriate entity through the corresponding ID.
Proximity’s vertically fragmented design makes some database operations more or less efficient than they would be in a traditional relational database. Operations required by common knowledge discovery tasks, such as the joins required for finding subgraphs matching a query, are significantly faster than they would be in a common relational database. Object- and link-centric operations, such as finding all the attribute values for a specified object, are less efficient.
To enable a more intuitive view of the data, Proximity provides an intermediate representation called nested synchronized tables (NSTs) that combines the data from several related BATs into a single, multi-column table. Proximity includes an NST browser for direct examination of these data structures. For many tasks, using NSTs provides the best mechanism for working with data in Proximity databases.
The exercise below illustrates how to use NSTs and filtering to identify objects and links based on attribute values—in this case, to find all links from Wisconsin staff web pages to Wisconsin faculty pages. More specifically, we first identify all the objects that correspond to Wisconsin staff pages (all objects where the value of the school attribute equals Wisconsin and the value of the pagetype attribute equals Staff). We then similarly identify the objects that correspond to Wisconsin faculty pages. Finally, we find all links that originate from an object in the first set and terminate at an object in the second set.
To better understand the NSTs used in this example, the following exercise uses the Proximity interactive Python interpreter rather than a Python script, allowing you to pause to examine the relevant NSTs as you proceed. The exercise begins by exploring the standard Proximity NSTs and illustrating how to use the NST browser features. This is followed by the steps needed to create the NSTs that identify the restricted sets of objects and links listed above.
Exercise 6.7. Finding specific links:
Before beginning, make sure that you are serving the ProxWebKB database using Mserver. Start the Proximity Database Browser if it is not already running.
From the Proximity Database Browser start page, click browse tables to browse the built-in Proximity NSTs. Proximity opens the NST browser.
The Proximity NST browser lets you directly examine Proximity data as represented by NSTs. Every Proximity database uses several standard NSTs for storing objects, links, containers, and attributes for these entities. A Proximity database can also have an arbitrary number of user-created NSTs that typically store subsets or joins of existing NSTs. The Proximity NST browser includes a menu bar, top button bar for navigation, filter text box, bottom button bar for paging through long lists, and a large area used to display the data in the selected NST.
The File menu’s single command,
Export to File,
writes the data for the
current NST to a tab-delimited text file for use in other
applications. Exported NST data does not include the head column
(OIDs), and the trailing @0
is omitted from ID
data.
The initial NST browser display shows the standard NSTs included in all Proximity databases:
The prox_object NST stores the IDs of objects in the database.
The prox_obj_attr NST stores the name, data type, and pointers to tables that contain the values for object attributes.
The prox_link NST stores the IDs of the links and the IDs of the objects they connect to and from (recall that all links in Proximity are directed).
The prox_link_attr NST stores the name, data type, and pointers to tables that contain the values for link attributes.
The prox_container NST stores the ID, name, and parent container for all the containers in the database, plus pointers to tables that contain the data (objects, links, and attributes) for those subgraphs.
The prox_cont_attr NST stores the name and data type for all the container attributes in the database, plus pointers to tables that contain the values for those attributes
Double-click prox_object. Proximity displays the NST that stores object IDs.
The prox_object
NST includes two
columns: the head column (labeled “-
”), which
stores the OIDs for each
object, and an id
column, which stores
the object IDs for each object.
The OID is an internal value used by Proximity; the ID is a visible value that you can use to refer to specific objects in the database. Although they are identical in this case, the OID and ID values need not match.
Click Go Back and then double-click prox_obj_attr. Proximity displays the NST that stores object attribute data.
The prox_obj_attr NST includes four
columns: the head column, plus columns storing the attribute name,
data type, and a data
column that
contains a pointer to the table containing the values for this
attribute. Each of these attribute value tables is another NST.
To see the values for an attribute, double-click the name of the
corresponding attribute value table.
Double-click the name of the attribute value table for the
page_num_inlinks attribute
(the name may vary but will start with tmp
, e.g.,
<tmp-94>). Proximity
displays the table of values for the
page_num_inlinks attribute.
Attribute value tables have three columns: the head column, an
id
column that stores the ID of a
database entity (object, link, container, or subgraph) and a
value
column that stores the
value of the attribute for that entity. Note that in this case the
values in the id
column do
not match the OIDs in the head column.
Click Go Back and then double-click <tmp-100>. Proximity displays the table of values for the page_words_top100 attribute.
In contrast to the previous attribute NST, the table of values for
page_words_top100 contains multiple rows
with the same id
value. This indicates
that page_words_top100 is a set-valued
attribute—objects in the database may have multiple values
for this attribute. And as we can see in the table shown above, this
set can include the same value (e.g.,
“science
”) more than once. Proximity
entities may have zero, one, or many values for a specified
attribute.
Click Go Back and then double-click <tmp-70>. Proximity displays the table of values for the school attribute.
value = "Wisconsin"
and press Return.
Filters are a set of conditions that rows in the NST must match. For example, a common use for filters is identifying all objects having a specified attribute value. Filters can be used in Python scripts or entered directly in the NST browser’s Filter text box.
This filter limits the displayed rows to those that have Wisconsin in the value column. The NST browser now shows only the objects that have this attribute value.
Filters specify a set of conditions that rows in the NST must match. You can filter an NST based on values in any of the non-head columns in that NST.
If it is not already available, open the interactive Python interpreter by choosing Open Interpreter from the Script menu.
In the interactive Python interpreter, enter
wiscPages = DB.getObjects("school = 'Wisconsin'")
The getObjects()
method
requires a single string argument that specifies the desired filter.
Note that because the filter requires a
string value
,
'Wisconsin'
, it requires single quotes in addition to the
double quotes surrounding the complete filter string.
Proximity creates an NST named wiscPages
containing
the same set of objects as those listed in the filtered
NST from Step 6.
|
Although filters resemble conditions, they have different semantics. Conditions operate on objects or links whereas filters operate on NST rows. A database entity satisfies a condition only if it has a value for the relevant attribute that satisfies the condition; entities having no value for the attribute cannot satisfy the condition. Filters pass all rows that satisfy the filter. For example, if some but
not all objects have a value for the
school attribute, only those objects having a
value can satisfy the inequality condition
school < > UTexas.
In contrast, a similar-looking filter,
Add
|
In the interactive Python interpreter, enter
prox.browse(wiscPages)
Proximity opens another NST browser window that shows you the
contents of the wiscPages
NST you just created.
Although the wiscPages
NST contains the same
information as the filtered school NST,
these NSTs are not identical. Specifically, the values in the head
column are different across the two NST browser windows.
Remember to use the value in the id
column, not the OID in the head column, when you need the ID of a
database entity.
You can also use the browse()
method to examine the
standard Proximity NSTs. Use the
“shortcuts” to these tables described in
“The prox
object”
as the argument to browse()
. For example, to display the
objects NST in a new NST browser window, enter
prox.browse(prox.objectNST)
Note that the
shortcut prox.objectAttrs
returns an Attributes
object;
therefore, to browse one of the standard attribute NSTs use the form
prox.browse(prox.objectAttrs.getAttrNST())
In the interactive Python interpreter, enter
wiscPages2 = DB.getObjects("school = 'Wisconsin'","pagetype, url")
prox.browse(wiscPages2)
Proximity creates and displays an NST named
wiscPages2
containing columns for the pagetype and
url attributes in addition to the head,
id
, and value
columns we saw before.
In both of the previous methods of filtering the
school attribute, the resulting NST
included only the head, id
, and
value
columns. We can include additional
data in the NST by using an overload of the getObjects()
method that
lets us specify which additional columns to include in the resulting NST.
This overload requires two string arguments: a filter, and a list of
additional columns to be included in the resulting NST.
Proximity provides similar overloads for many methods that work with
NSTs.
In the interactive Python in interpreter, enter
wiscPages.describe()
1,247 rows, 2 columns [id,school:oid,str] -- in memory
The describe()
method provides summary information about
an NST. As was the case for the
browse()
method, use the “shortcut” names to pass one
of the standard tables
as an argument to describe()
. Remember that the attribute
shortcuts return an Attributes
object, not an NST, so you must
explicitly get the corresponding NST, for example,
prox.objectAttrs.getAttrNST().describe()
In the interactive interpreter, enter
wiscStaff = DB.getObjects("school = 'Wisconsin' AND pagetype = 'Staff'")
prox.browse(wiscStaff)
Proximity creates and displays an NST named wiscStaff.
To find the objects that correspond to Wisconsin staff web pages, we
need to create a filter that requires matching
two conditions:
the value of the school attribute must be
Wisconsin and the value of the
pagetype attribute must be
Staff.
The filter combines these two conditions with the logical operator
AND
.
Filter conditions can be combined with
AND
and OR
, using
infix notation.
The filter is passed in as a single
string parameter to the getObjects()
method.
String values must be quoted; note the single quotes
surrounding the required attribute values.
For more information about
using logical operators in filters, see the FilterFactory
class.
Because the filter used values
from both the school
and
pagetype
columns, these columns are
automatically included in the resulting NST. You can use the overload
of the getObjects()
method, described above, to include data from
additional columns in the resulting NST.
In the interactive Python interpreter, enter
wiscFaculty = DB.getObjects("school = 'Wisconsin' AND pagetype = 'Faculty'")
This filter combines two conditions to find all the Wisconsin faculty pages. The results are stored in a new NST named wiscFaculty.
Next, we need to find the links from objects in the set of Wisconsin staff pages (wiscStaff) to objects in the set of Wisconsin Faculty pages (wiscFaulty). We begin by getting the standard Proximity links NST.
In the interactive Python interpreter, enter
linksNST = prox.linkNST
Examine this NST in the browser by either entering
prox.browse(linksNST)
in the interactive Python interpreter or by double-clicking prox_link in the NST browser’s home page.
The links NST has four columns: the head column, the ink IDs
(link_id
), and the starting
(o1_id
) and ending
(o2_id
) objects for each link.
Now we need to identify those links where the starting object is
a Wisconsin staff page (the link’s
o1_id
value must be in the list of IDs
from the wiscStaff NST) and the ending
object is a Wisconsin faculty page (the link’s
o2_id
value must be in the list of IDs
from the wiscFaculty
NST.
In the interactive Python interpreter, enter
facOutLinks = linksNST.intersect(wiscStaff, "o1_id = id")
This identifies those links where the starting object
(o1_id
) is a
Wisconsin staff page. That is, the link’s
o1_id
value must equal the value of
id
for an object in the
wiscStaff NST.
Once again, we use a filter to identify the relevant rows in
these NSTs. But because we need to match values across two different
NSTs, the filter is used as an argument to the intersect()
method. The
filter for this instance, o1_id = id
, compares the values
in linksNST’s
o1_id
column with the values in
wiscStaff’s
id
column.
Because these NSTs have unique column names, Proximity knows which
NST each column comes from. When both NSTs share a column name that you
want to use in a filter, add a prefix
indicating which NST it comes from. For example, if both NSTs had
an id
column, write
A.id
to indicate that this refers to the
id
column from
NST that the method operates on
(linksNST)
and B.id
to indicate that this refers to the
id
column from the NST passed in as a
parameter to the intersect()
method
(wiscStaff
).
In the interactive Python interpreter, enter
wiscStaffFacLinks = facOutLinks.intersect(wiscFaculty, "o2_id = id")
prox.browse(wiscStaffFacLinks)
Proximity creates and displays an NST names wiscStaffFacLinks.
This identifies the links in facOutLinks
where the ending object is a Wisconsin faculty page. That is, the
link’s o2_id
value must equal
the value of id
for an object in the
wiscFaculty NST.
Because facOutLinks includes only the links
beginning at a Wisconsin staff page, the
wiscStaffFacLinks NST contains the links
we want—links from Wisconsin staff pages to Wisconsin faculty
pages. Remember, the link_id
column, not
the head column, lists the IDs for the final set of links.


beam
`Prev `__
B
`Next `__
--------------
**beam**: vt.
[from Star Trek Classic's “Beam me up, Scotty!”]
1. To transfer `*softcopy* <../S/softcopy.html>`__ of a file
electronically; most often in combining forms such as beam me a copy or
beam that over to his site.
2. Palm Pilot users very commonly use this term for the act of
exchanging bits via the infrared links on their machines (this term
seems to have originated with the ill-fated Newton Message Pad). Compare
`*blast* `__, `*snarf* <../S/snarf.html>`__,
`*BLT* `__.
--------------
+-------------------------+----------------------------+-------------------------------+
| `Prev `__ | `Up <../B.html>`__ | `Next `__ |
+-------------------------+----------------------------+-------------------------------+
| BDFL | `Home <../index.html>`__ | beanie key |
+-------------------------+----------------------------+-------------------------------+


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It is well known that context dependent logical rules can be hard to both, implement and reason about. This is one of the reasons for the quest for better behaved logical systems.
Here we use linear nested sequents to propose a general framework for describing systems based on multiplicative additive linear logic plus simply dependent multimodalities. This class of systems includes linear logic with subexponentials (SELL).
This implementation is a generic way of building theorem provers for different logics, all of them based on the same grounds. The theoretical bases can be found here. For further information, please contact
Bjoern Lellmann,
Elaine Pimentel or Carlos Olarte. We thank Allan Marques
for his help in implementing this site.
The Prover
You first need to download Maude (we used the version 2.7.1).
The source files can be downloaded here.
To perform a quick test, run the Maude interpreter with the file ex_ll.maude:
maude ex_ll.maude
And then, try the following:
search [1] prove(p , p ^) =>* T .
In this case, the underlying logic is SELL (K + T + 4). Exponentials are natural numbers, all of them linear and ordered as usual.
Defining SDML
Simply dependent multimodal linear systems (SDML), different from SELL, can be defined by writing the appropriate signature (some examples are given in file signature.maude). This can be done by adapting the following template:
load ll .
fmod SIG_CONF is
protecting NAT .
protecting STRING .
protecting CONVERSION .
op U : Nat -> Bool . *** The unbounded subexponentials
op RD : Nat -> Bool . *** Subexponentials featuring D
op RT : Nat -> Bool . *** Subexponentials featuring T
op R4 : Nat -> Bool . *** Subexponentials featuring 4
op RK : Nat -> Bool . *** Subexponentials featuring K (all of them)
op _leq_ : Nat Nat -> Bool . *** The preorder relation
op toString : Nat -> String .
vars x y : Nat .
*** ======= CONFIGURABLE PART ***
eq U(x) = ToBeDefined .
eq RK(x) = ToBeDefined .
eq RT(x) = ToBeDefined .
eq R4(x) = ToBeDefined .
eq RD(x) = ToBeDefined .
eq (x leq y) = (x <= y) .
eq toString(x) = string(x, 10) .
*** ======= CONFIGURABLE PART ***
endfm
view S_CONF from SIGNATURE to SIG_CONF is
sort Subexp to Nat .
op U to U .
op RK to RK .
op RD to RD .
op RT to RT .
op R4 to R4 .
op leq to leq .
op toString to toString .
endv
mod TEST is
protecting LL{S_CONF} .
protecting TOTEX{S_CONF} .
vars T : PTree{S_CONF} .
protecting META-LEVEL * (
op _,_ : Set{X} Set{X} -> Set{X} to comma ,
op _,_ : Map{X,Y} Map{X,Y} -> Map{X,Y} to comma ,
op _,_ : NeGroundTermList GroundTermList -> NeGroundTermList to comma ,
op _+_ : ModuleExpression ModuleExpression -> ModuleExpression to plus
) .
endm
Change the "ToBeDefined" parts with true/false as needed. It is also possible to use a different signature for the subexponentials. See for instance the signature SIG_TIME in signature.maude.


A Perfect Murder (1998)
a review by Christian Pyle
Few directors can claim to have improved on the Master of Suspense, Alfred Hitchcock, but Andrew Davis' "A Perfect Murder" eclipses Hitch's "Dial M for Murder."
Truth be told, of course, "Dial M" was a substandard product for the Master.  Adapted from Frederick Knott's popular stage play, Hitchcock's movie remained stage-bound; all of its action takes place in one room, and "Dial M" lacks the experimentation of "Rope" (also a one-room stage adaptation). As the husband plotting to kill his wife, Ray Milland was coldly evil but uninteresting. As the wife, Grace Kelly was beautiful and vulnerable, and that seemed to be all that was required of her.
Davis' version retains the basic skeleton of "Dial M"'s plot: a wife has a guy on the side; her husband hires someone to murder her, but she kills the attacker instead; the husband tries to retrieve the house key he gave the killer but picks the wrong one. However, Patrick Smith Kelly's screenplay takes that basic story in new and interesting directions. Steven (Michael Douglas) is a cold and distant millionaire husband to Emily (Gwyneth Paltrow), who is boffing David (Viggo Mortensen), a bohemian artist. But David is hiding a secret past as an ex-con, and Steven blackmails him into a plot to kill Emily. Emily spikes the would-be killer with a meat thermometer and soon discovers the plot against her. Several plot twists and double-crosses follow.
Besides having a fleshier plot, "A Perfect Murder" boasts better acting than "Dial M" (directing actors was always Hitch's weak point). Paltrow stands out by not simply hashing out another rendition of the stock character Threatened Woman.  Douglas is his usual sinister self, part-pouting-victim, part-vengeful-aggressor. Mortensen is the weakest cast member and brings little to the table.
Despite the improvements, "A Perfect Murder" is still genre fare, but it is an entertaining diversion. Davis, best known for large-scale action movies like "The Fugitive" and "Under Siege," shows that he can be just as effective with a character-driven piece.
Grade: B+
© 1999 Christian L. Pyle
Read my reviews and others at the Mad Review: http://www.wpd.net/madreview/
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


Liquid Carrot is an open source AI framework library for Java Script developers We specialize in creating neural network systems and deep learning models for structured (or unstructured) data sets
In short, we are aiming to make artifical intelligence more accessible to the world


Demos
Contents
Demo execution status
Demos executed at: 23-Dec-2018 10:42:13 demo triangles_vs_quads | 1 | 9.37 demo rectangle_mesh | 1 | 1.45 demo circ_hole_mesh | 1 | 1.58 demo edges_in_triangles | 1 | 1.58 demo highlight_elements | 1 | 1.56 demo highlight_nodes | 1 | 2.26 demo kernel_beam3D | 1 | 63.67 demo kernel_square | 1 | 30.58 demo kernel_squareHole | 1 | 8.70 demo kernel_thermalSquare | 1 | 4.29 demo labels | 1 | 0.91 demo LShape_convergence_MFDM | 1 | 0.28 demo LShape_fixed_mesh_FEM | 1 | 6.00 demo LShapeGeom | 1 | 2.94 demo LShapeGeom_refinement | 1 | 56.85 demo LShapeIfaceGeom | 1 | 1.83 demo LShapeIfaceGeom_queries | 1 | 3.78 demo LShapeIfaceGeom_nonconforming | 1 | 1.41 demo LShapeIfaceGeom_normals | 1 | 1.93 demo lshape_mesh | 1 | 0.97 demo Mesh_edgeCenters | 1 | 1.13 demo Mesh_faceCenters | 1 | 0.68 demo Mesh_parent_child_submesh | 1 | 2.25 demo Mesh_submesh | 1 | 1.36 demo Mesher_square | 1 | 1.21 demo Mesher_globalField | 1 | 3.10 demo Mesher_refinement | 1 | 1.56 demo MeshFactory | 1 | 1.99 demo mesh_factory | 1 | 4.54 demo mp_enumerations | 1 | 0.46 demo mp_elems_centers | 1 | 0.91 demo mp_face_edge_data | 1 | 1.37 demo mp_face_edge_data_at_regions | 1 | 1.72 demo mp_GeomTrans | 1 | 0.85 demo mp_map_circle | 1 | 0.45 demo mp_readMesh | 1 | 0.45 demo mp_tagging_nodes | 1 | 1.60 demo mp_get_tagged_nodes | 1 | 1.48 demo mp_get_tagged_edges | 1 | 3.01 demo mp_tag_region_nodes | 1 | 1.67 demo mp_view_stars | 1 | 3.93 demo NotchedRQGeom | 1 | 2.16 demo SquareHoleGeom | 1 | 1.70 demo TSHGeom | 1 | 8.98 demo twin_squares_mesh | 1 | 2.39 demo Viewer | 1 | 0.86 demo voids2D | 1 | 1.09
Whole engine demos
- demo_kernel_beam3D run kernel calculations on beam3D geom model
- demo_kernel_square run kernel calculations on square geom model
- demo_kernel_squareHole run kernel calculations on squareHole geom model
- demo_kernel_thermalSquare heat transfer in a square domain
- demo_LShape_fixed_mesh_FEM run calculations for LShape, FEM, fixed mesh
- demo_LShape_convergence_MFDM run calculations for LShape, local MFDM, convergence
Interface function demos
- demo_mp_get_tagged_nodes Get tagged nodes in regions
- demo_mp_tag_region_nodes Show how to tag all nodes
- demo_mp_get_tagged_edges Get tagged edges in regions
- demo_mp_face_edge_data_at_regions Get normals and tangent vector for element edges and nodes at specified regions.
- demo_mp_face_edge_data illustrate calculation of edge data for faces
Geometric models demos
- demo_LShapeGeom Managing mesh density - example using L-shape geometry
- demo_LShapeGeom_refinement Mesh density as function of lc parameter
- demo_LShapeIfaceGeom Geometric model with interface (internal boundary)
- demo_LShapeIfaceGeom_queries Illustrate queries about interface
- demo_LShapeIfaceGeom_nonconforming Non-conforming meshing of sudomains
- demo_LShapeIfaceGeom_normalsNormals at edges in separate regions
- demo_NotchedRQGeom Geometric doman of quarter of notched rectangle
- demo_SquareHoleGeom Square with circular hole
- demo_TSHGeom Complex geometry and mesh handing for THS geometry
Mesher demos
- demo_Mesher_square use Mesher to generate mesh in a square
- demo_Mesher_globalField mesh density control via global size field
- demo_Mesher_refinement uniform mesh refinement
Object oriented interface demos
- demo_mp_enumerations Show how to use enum values for categorical data
- demo_MeshFactory use MeshFactory and Viewer to show built-in meshes
- demo_mp_elems_centers Show how to select elements and access node coordinates
- demo_Mesh_edgeCenters Show how to get edge centers for a Mesh
- demo_Mesh_faceCenters Show how to get face centers for a Mesh
- demo_Mesh_parent_child_submesh Show mapping from child to parent nodes and elements
- demo_Mesh_submesh Show how create submes from regions
- demo_mp_readMesh Show how to read file into a Mesh object
- demo_mp_view_stars Calculate and show mesh etities stars
- demo_Viewer Display geometry
- demo_mp_tagging_nodes Tag and visualize nodes in regions
- demo_mp_map_circle Use geometric transformation to map interior of an element
- demo_mp_GeomTrans Illustrate usage of GeomTrans
Other demos
- demo_edges_in_triangles Show numbering of edges in traingles
- demo_circ_hole_mesh mesh in region with circular hole
- demo_highlight_nodes highlight selected nodes
- demo_highlight_elements highlight selected elements
- demo_labels label mesh elements
- demo_lshape_mesh generate mesh in L-shaped domain
- demo_mesh_factory generate several meshes for testing purposes
- demo_rectangle_mesh generate mesh in rectangle
- demo_triangles_vs_quads mesh in region with circular hole
- demo_twin_squares_mesh mesh of squares with non-linear common boundary
- demo_voids2D mesh rectangular domain with circular voids


A credit account represents charges and payments for a credit card or line of credit. A bank account is used for debit card charges since the money is deducted directly from a checking account. Transactions in a credit account can be reconciled with statements received from the bank.
A transaction can be assigned a category (such as Cable, Dividend, Interest, Utilities, etc). The category is used when generating a transaction report and when estimating taxes. You do not need to assign a category to a transaction (the default is no category when you create a transaction).
Instead of a category, a transaction can be assigned a transfer account. Transfer accounts appear in the Category/Account field with the name enclosed in “[]”. This causes money used to make a payment to be withdrawn from the transfer account. You create just a single transaction which affects two accounts (you do not create a separate transaction in the bank account to represent the payment). You can create the payment transaction in either the bank account or the credit account, specifying the other account as the transfer account.
The memo is an optional field which is used to describe the transaction.
You must specify a charge or payment amount.
You should leave the Not Reconciled button selected when you create a transaction. Refer to the Reconciling Transactions section for more information.
New Transaction – Create a new credit transaction.
Edit Transaction – Modify an existing credit transaction.
Delete Transaction – Delete an existing credit transaction.
Reconcile Transactions – Reconcile transactions with a bank statement.
When you reconcile transactions, you indicate which transactions appear on your bank statement. This is done by pressing the Reconcile Transactions button and then entering the ending balance from the statement (this will normally be a negative value indicating you owe money). A dialog will be displayed listing all of the unreconciled transactions for the account. Each time you click on a transaction, a 'c' is added or removed for the transaction. The 'c' indicates reconcile is pending for the transaction.
For each transaction that appears on your statement, click on the corresponding transaction in the Reconcile Transactions dialog. As you proceed, the reconciled balance at the bottom of the dialog will be updated (the target balance is the ending balance that you entered). When you have checked all of the transactions on the statement, the difference displayed at the bottom of the dialog should be 0.00.
When you are finished, press the Done button and the pending transactions will be marked as reconciled (the 'c' will change to 'C' and the transactions will not appear the next time you reconcile transactions).
If you need to modify or add a transaction, press the Finish Later button. This will save the pending reconcile status for the transactions so you won't need to redo them when you come back to finish reconciling the transactions.
If you want to cancel the pending changes, press the Cancel button. The pending reconcile status will be removed from the transactions.
If you mistakenly reconciled a transaction and pressed the Done button, you can undo the change by editing the transaction and selecting the Not Reconciled button.


About the school
The main objective of CBS-Very is to provide quality tuition to students so that the joy of dance may be experienced. The teaching environment is warm, friendly and encouraging and many students have remained with the school from its outset to the present, some going on to full-time and tertiary dance courses. Classes aim to challenge students and the content is presented in an interesting format appropriate to the particular age and level. Children in "Minions" level enjoy a mixture of dance games and basic technique while "Juniors" level are guided through a more formal class structure. Props and inspiring music form an important part of the learning process.
Our Mission
It is the Mission of CBS-Very "Classical Ballet School -Very" to provide quality, caring, enjoyable & achievable dance tuition to children in the local community. Ours is a holistic venture, nurturing the child in the art of dance by fostering confidence and imparting the values of kindness, compassion, fairness, group skills & positive work ethic. CBS-Very`s point of difference in the private dance school community is its strong adherence to the above philosophy & values. Striving always to put the child first is what makes our school attractive to modern families.
About the teacher
The leader of the school is Veriana Velichkova. Though she was born in Sofia, Bulgaria in 1970, first steps in Ballet had in the cultural center ‘’Iskra’’ at the town of Vidin.
In 1980 she was accepted a student at the National Ballet School of Bulgaria (now known as National School for Dancing Art).
After graduating in 1989 Veriana Velichkova began teaching in the cultural center at the town of Berkovitza. A few years later was working as a performing Ballerina at the Opera House in Varna city. From 2001 until 2010 was dancer and dance captain at Magic Life – an Austrian established Holiday chain, which is now part of TUI Germany. Her responsibility were the dancing shows at the club, the sport and recreation Program for the guests and she had the chance to put on stage dancing shows for children. There she developed her group training skills in the area of Aerobics, including Step, Tae Bo, Stretching, Pilates, Flexibar, BBP… - the company teaching the dancers at Magic Life in the way of sports was AFAS (Austrian Fitness and Aerobic School).
2016 she graduated as a yoga teacher at the International Certified Yoga School in Isny, Germany and in 2017 Pilates Instructor.


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Status
Last Action
{{ diff.getModifiedTimestamp() | time }}
{{ getModifiedBy(diff) }}
Reviewers
{{ getUsername(reviewer, i, diff) }}
Workspace
{{ diff.getWorkspace() }}
Description
{{ diff.getDescription() }}
No Diffs