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apply(GLTexture[], GLTexture[])
- Method in class codeanticode.gltexture.
GLTextureFilter
Applies the shader program on textures srcTex, writing the output to the textures destTex.
apply(GLTexture[], GLTexture[], GLTextureFilterParams)
- Method in class codeanticode.gltexture.
GLTextureFilter
Applies the shader program on textures srcTex, writing the output to the textures destTex.
available()
- Method in class codeanticode.gltexture.
GLTexture
Returns true if the texture has been initialized.
B
bindDestFBO()
- Method in class codeanticode.gltexture.
GLTextureFilter
bindDestTexToFBO(GLTexture[])
- Method in class codeanticode.gltexture.
GLTextureFilter
bindSrcTex(GLTexture[])
- Method in class codeanticode.gltexture.
GLTextureFilter
blendOn
- Variable in class codeanticode.gltexture.
GLTextureFilter
C
checkDestTex(GLTexture[], int, int)
- Method in class codeanticode.gltexture.
GLTextureFilter
checkFBO()
- Method in class codeanticode.gltexture.
GLTextureFilter
checkLogInfo(String, int)
- Method in class codeanticode.gltexture.
GLSLShader
codeanticode.gltexture
- package codeanticode.gltexture
D
defFilterParams
- Variable in class codeanticode.gltexture.
GLTextureFilter
description
- Variable in class codeanticode.gltexture.
GLTextureFilter
destFBO
- Variable in class codeanticode.gltexture.
GLTextureFilter
destTexSizeUniform
- Variable in class codeanticode.gltexture.
GLTextureFilter
F
filter(GLTextureFilter, GLTexture)
- Method in class codeanticode.gltexture.
GLTexture
Applies filter texFilter using this texture as source and destTex as destination.
filter(GLTextureFilter, GLTexture[])
- Method in class codeanticode.gltexture.
GLTexture
Applies filter texFilter using this texture as source and destTex as multiple destinations.
filter(GLTextureFilter, GLTexture, GLTextureFilterParams)
- Method in class codeanticode.gltexture.
GLTexture
Applies filter texFilter using this texture as source, destTex as destination and params as the parameters for the filter.
filter(GLTextureFilter, GLTexture[], GLTextureFilterParams)
- Method in class codeanticode.gltexture.
GLTexture
Applies filter texFilter using this texture as source, destTex as multiple destinations and params as the parameters for the filter.
fragmentShader
- Variable in class codeanticode.gltexture.
GLSLShader
G
genTexCoords(int, int)
- Method in class codeanticode.gltexture.
GLTexturedPoint
getAttribLocation(String)
- Method in class codeanticode.gltexture.
GLSLShader
Returns the ID location of the attribute parameter given its name.
getDescription()
- Method in class codeanticode.gltexture.
GLTextureFilter
Returns the description of the filter.
getImage(PImage)
- Method in class codeanticode.gltexture.
GLTexture
Copies texture to img.
getMat2(int, int)
- Method in class codeanticode.gltexture.
GLTextureFilterParams
Returns the (i, j) element of the 2x2 matrix parameter.
getMat3(int, int)
- Method in class codeanticode.gltexture.
GLTextureFilterParams
Returns the (i, j) element of the 3x3 matrix parameter.
getMat4(int, int)
- Method in class codeanticode.gltexture.
GLTextureFilterParams
Returns the (i, j) element of the 4x4 matrix parameter.
getNumInputTextures()
- Method in class codeanticode.gltexture.
GLTextureFilter
Returns the number of input or source textures supported by this filter.
getTextureID()
- Method in class codeanticode.gltexture.
GLTexture
Provides the ID of the opegl texture object.
getTextureTarget()
- Method in class codeanticode.gltexture.
GLTexture
Returns the texture target.
getUniformLocation(String)
- Method in class codeanticode.gltexture.
GLSLShader
Returns the ID location of the uniform parameter given its name.
gl
- Variable in class codeanticode.gltexture.
GLSLShader
gl
- Variable in class codeanticode.gltexture.
GLState
gl
- Variable in class codeanticode.gltexture.
GLTexture
gl
- Variable in class codeanticode.gltexture.
GLTextureFilter
gl
- Variable in class codeanticode.gltexture.
GLTextureGrid
GLSLShader
- Class in
codeanticode.gltexture
This class encapsulates a glsl shader.
GLSLShader(PApplet)
- Constructor for class codeanticode.gltexture.
GLSLShader
Creates an instance of GLSLShader.
GLState
- Class in
codeanticode.gltexture
GLState(GL)
- Constructor for class codeanticode.gltexture.
GLState
glstate
- Variable in class codeanticode.gltexture.
GLTexture
glstate
- Variable in class codeanticode.gltexture.
GLTextureFilter
GLTexture
- Class in
codeanticode.gltexture
This class adds an opengl texture to a PImage object.
GLTexture(PApplet)
- Constructor for class codeanticode.gltexture.
GLTexture
Creates an instance of GLTexture with size 1x1.
GLTexture(PApplet, int, int)
- Constructor for class codeanticode.gltexture.
GLTexture
Creates an instance of GLTexture with size width x height.
GLTexture(PApplet, String)
- Constructor for class codeanticode.gltexture.
GLTexture
Creates an instance of GLTexture using image file filename as source.
GLTexturedPoint
- Class in
codeanticode.gltexture
GLTexturedPoint()
- Constructor for class codeanticode.gltexture.
GLTexturedPoint
GLTexturedPoint(float, float, float, float)
- Constructor for class codeanticode.gltexture.
GLTexturedPoint
GLTextureFilter
- Class in
codeanticode.gltexture
This class defines a 2D filter to apply on GLTexture objects.
GLTextureFilter(PApplet, String)
- Constructor for class codeanticode.gltexture.
GLTextureFilter
Creates an instance of GLTextureFilter, loading the filter from filename.
GLTextureFilter(PApplet, String, int)
- Constructor for class codeanticode.gltexture.
GLTextureFilter
Creates an instance of GLTextureFilter, loading the filter from filename.
GLTextureFilterParams
- Class in
codeanticode.gltexture
This class stores the parameters for a filter.
GLTextureFilterParams()
- Constructor for class codeanticode.gltexture.
GLTextureFilterParams
Creates an instance of GLTextureFilterParams, setting all the parameters to zero.
GLTextureGrid
- Class in
codeanticode.gltexture
GLTextureGrid(GL)
- Constructor for class codeanticode.gltexture.
GLTextureGrid
GLTextureGrid(GL, XMLElement)
- Constructor for class codeanticode.gltexture.
GLTextureGrid
grid
- Variable in class codeanticode.gltexture.
GLTextureFilter
gridDX
- Variable in class codeanticode.gltexture.
GLTextureGrid
gridDY
- Variable in class codeanticode.gltexture.
GLTextureGrid
I
init(int, int)
- Method in class codeanticode.gltexture.
GLTexture
Sets the size of the image and texture to width x height.
initFBO()
- Method in class codeanticode.gltexture.
GLTextureFilter
initFilter(int)
- Method in class codeanticode.gltexture.
GLTextureFilter
initGrid()
- Method in class codeanticode.gltexture.
GLTextureGrid
initGrid(XMLElement)
- Method in class codeanticode.gltexture.
GLTextureGrid
initTexture(int, int)
- Method in class codeanticode.gltexture.
GLTexture
L
linkProgram()
- Method in class codeanticode.gltexture.
GLSLShader
Links the shader program and validates it.
loadFragmentShader(String)
- Method in class codeanticode.gltexture.
GLSLShader
Loads and compiles the fragment shader contained in file.
loadTexture(String)
- Method in class codeanticode.gltexture.
GLTexture
Load texture, pixels and image from file.
loadTexture()
- Method in class codeanticode.gltexture.
GLTexture
Copy pixels to texture (loadPixels should have been called beforehand).
loadVertexShader(String)
- Method in class codeanticode.gltexture.
GLSLShader
Loads and compiles the vertex shader contained in file.
N
numInputTex
- Variable in class codeanticode.gltexture.
GLTextureFilter
numLayers
- Variable in class codeanticode.gltexture.
GLTextureGrid
P
parent
- Variable in class codeanticode.gltexture.
GLSLShader
parent
- Variable in class codeanticode.gltexture.
GLTextureFilter
parFlt1
- Variable in class codeanticode.gltexture.
GLTextureFilterParams
Float parameter 1.
parFlt1Uniform
- Variable in class codeanticode.gltexture.
GLTextureFilter
parFlt2
- Variable in class codeanticode.gltexture.
GLTextureFilterParams
Float parameter 2.
parFlt2Uniform
- Variable in class codeanticode.gltexture.
GLTextureFilter
parFlt3
- Variable in class codeanticode.gltexture.
GLTextureFilterParams
Float parameter 3.
parFlt3Uniform
- Variable in class codeanticode.gltexture.
GLTextureFilter
parMat2
- Variable in class codeanticode.gltexture.
GLTextureFilterParams
2x2 matrix parameter.
parMat2Uniform
- Variable in class codeanticode.gltexture.
GLTextureFilter
parMat3
- Variable in class codeanticode.gltexture.
GLTextureFilterParams
3x3 matrix parameter.
parMat3Uniform
- Variable in class codeanticode.gltexture.
GLTextureFilter
parMat4
- Variable in class codeanticode.gltexture.
GLTextureFilterParams
4x matrix parameter.
parMat4Uniform
- Variable in class codeanticode.gltexture.
GLTextureFilter
pgl
- Variable in class codeanticode.gltexture.
GLSLShader
pgl
- Variable in class codeanticode.gltexture.
GLTexture
pgl
- Variable in class codeanticode.gltexture.
GLTextureFilter
programObject
- Variable in class codeanticode.gltexture.
GLSLShader
putImage(PImage)
- Method in class codeanticode.gltexture.
GLTexture
Puts img into texture, pixels and image.
putPixels(int[])
- Method in class codeanticode.gltexture.
GLTexture
putPixelsIntoTexture(PImage)
- Method in class codeanticode.gltexture.
GLTexture
Puts pixels of img into texture only.
R
releaseTexture()
- Method in class codeanticode.gltexture.
GLTexture
render(int, int, int)
- Method in class codeanticode.gltexture.
GLTextureGrid
renderTexture()
- Method in class codeanticode.gltexture.
GLTexture
Draws the texture using the opengl commands, inside a rectangle located at the origin with the original size of the texture.
renderTexture(float, float)
- Method in class codeanticode.gltexture.
GLTexture
Draws the texture using the opengl commands, inside a rectangle located at (x,y) with the original size of the texture.
renderTexture(float, float, float, float)
- Method in class codeanticode.gltexture.
GLTexture
Draws the texture using the opengl commands, inside a rectangle of width w and height h located at (x,y).
restoreGLConf()
- Method in class codeanticode.gltexture.
GLTextureFilter
restoreGLMatrices()
- Method in class codeanticode.gltexture.
GLState
restoreGLState()
- Method in class codeanticode.gltexture.
GLState
restoreView()
- Method in class codeanticode.gltexture.
GLState
resX
- Variable in class codeanticode.gltexture.
GLTextureGrid
resY
- Variable in class codeanticode.gltexture.
GLTextureGrid
S
saveGLMatrices()
- Method in class codeanticode.gltexture.
GLState
saveGLState()
- Method in class codeanticode.gltexture.
GLState
saveView()
- Method in class codeanticode.gltexture.
GLState
scaleCoords(int, int)
- Method in class codeanticode.gltexture.
GLTexturedPoint
setGLConf(int, int)
- Method in class codeanticode.gltexture.
GLTextureFilter
setMat2(int, int, float)
- Method in class codeanticode.gltexture.
GLTextureFilterParams
Sets the (i, j) element of the 2x2 matrix parameter to v.
setMat3(int, int, float)
- Method in class codeanticode.gltexture.
GLTextureFilterParams
Sets the (i, j) element of the 3x3 matrix parameter to v.
setMat4(int, int, float)
- Method in class codeanticode.gltexture.
GLTextureFilterParams
Sets the (i, j) element of the 4x4 matrix parameter to v.
setOrthographicView(int, int)
- Method in class codeanticode.gltexture.
GLState
setTexCoord(int, int, int)
- Method in class codeanticode.gltexture.
GLTextureGrid
shader
- Variable in class codeanticode.gltexture.
GLTextureFilter
srcTexOffsetUniform
- Variable in class codeanticode.gltexture.
GLTextureFilter
srcTexUnitUniform
- Variable in class codeanticode.gltexture.
GLTextureFilter
start()
- Method in class codeanticode.gltexture.
GLSLShader
Starts the execution of the shader program.
stop()
- Method in class codeanticode.gltexture.
GLSLShader
Stops the execution of the shader program.
T
tex
- Variable in class codeanticode.gltexture.
GLTexture
timingDataUniform
- Variable in class codeanticode.gltexture.
GLTextureFilter
U
u
- Variable in class codeanticode.gltexture.
GLTexturedPoint
unbindDestFBO()
- Method in class codeanticode.gltexture.
GLTextureFilter
unbindSrcTex(int)
- Method in class codeanticode.gltexture.
GLTextureFilter
updateTexture()
- Method in class codeanticode.gltexture.
GLTexture
Copy texture to pixels (doesn't call updatePixels).
V
v
- Variable in class codeanticode.gltexture.
GLTexturedPoint
vertexShader
- Variable in class codeanticode.gltexture.
GLSLShader
X
x
- Variable in class codeanticode.gltexture.
GLTexturedPoint
xmlFilterCfg
- Variable in class codeanticode.gltexture.
GLTextureFilter
Y
y
- Variable in class codeanticode.gltexture.
GLTexturedPoint
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© 2018 R. David Dunphy ·
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A new userguide for openadaptor3™ is under construction at openadapor.org. Please see openadaptor userguide for the latest content.
This guide will continue to be updated as time and contributions allow.


|
AUnit
0.4.1
Unit testing framework for Arduino platforms inspired by ArduinoUnit and Google Test.
|
Various macros (test(), testing(), externTest(), externTesting()) are defined in this header. More...
#include <stdint.h>
#include <Arduino.h>
#include "FCString.h"
#include "TestOnce.h"
#include "TestAgain.h"
Go to the source code of this file.
Macros | |
| #define | test(name) |
| Macro to define a test that will be run only once. More... | |
| #define | testing(name) |
| Macro to define a test that will run repeatly upon each iteration of the global loop() method, stopping when the something calls Test::pass(), Test::fail() or Test::skip(). More... | |
| #define | externTest(name) |
| Create an extern reference to a test() test case object defined elsewhere. More... | |
| #define | externTesting(name) |
| Create an extern reference to a testing() test case object defined elsewhere. More... | |
| #define | testF(test_class, name) |
| Create a test that is derived from a custom TestOnce class. More... | |
| #define | testingF(test_class, name) |
| Create a test that is derived from a custom TestAgain class. More... | |
| #define | externTestF(test_class, name) |
| Create an extern reference to a testF() test case object defined elsewhere. More... | |
| #define | externTestingF(test_class, name) |
| Create an extern reference to a testingF() test case object defined elsewhere. More... | |
Various macros (test(), testing(), externTest(), externTesting()) are defined in this header.
Definition in file TestMacro.h.
| #define externTest | ( | name | ) |
Create an extern reference to a test() test case object defined elsewhere.
This is only necessary if you use assertTestXxx() or checkTestXxx() when the test is in another file (or defined after the assertion on it).
Definition at line 78 of file TestMacro.h.
| #define externTestF | ( | test_class, | |
| name | |||
| ) |
Create an extern reference to a testF() test case object defined elsewhere.
This is only necessary if you use assertTestXxx() or checkTestXxx() when the test is in another file (or defined after the assertion on it).
Definition at line 131 of file TestMacro.h.
| #define externTesting | ( | name | ) |
Create an extern reference to a testing() test case object defined elsewhere.
This is only necessary if you use assertTestXxx() or checkTestXxx() when the test is in another file (or defined after the assertion on it).
Definition at line 90 of file TestMacro.h.
| #define externTestingF | ( | test_class, | |
| name | |||
| ) |
Create an extern reference to a testingF() test case object defined elsewhere.
This is only necessary if you use assertTestXxx() or checkTestXxx() when the test is in another file (or defined after the assertion on it).
Definition at line 144 of file TestMacro.h.
| #define test | ( | name | ) |
Macro to define a test that will be run only once.
Definition at line 50 of file TestMacro.h.
| #define testF | ( | test_class, | |
| name | |||
| ) |
Create a test that is derived from a custom TestOnce class.
The name of the instance is prefixed by '{test_class}_' to avoid name collisions with similarly named tests using other fixtures.
Definition at line 101 of file TestMacro.h.
| #define testing | ( | name | ) |
Macro to define a test that will run repeatly upon each iteration of the global loop() method, stopping when the something calls Test::pass(), Test::fail() or Test::skip().
Definition at line 64 of file TestMacro.h.
| #define testingF | ( | test_class, | |
| name | |||
| ) |
Create a test that is derived from a custom TestAgain class.
The name of the instance is prefixed by '{test_class}_' to avoid name collisions with similarly named tests using other fixtures.
Definition at line 116 of file TestMacro.h.


[§659-3] Forfeiture of franchise. The several circuit courts shall have jurisdiction of all proceedings in, or in the nature of, quo warranto, brought by or in the name of the public utilities commission, or the State, for the forfeiture of the franchise of any corporate body offending against any law relating to such corporation, for misuser, for nonuser, for doing or committing any act or acts amounting to a surrender of its charter and for exercising rights not conferred upon it. [L 1972, c 90, §3(c); HRS §659-47.5; ren HRS §659-3]
Attorney General Opinions
Quo warranto action may be brought to enforce "resign to run" law. Att. Gen. Op. 86-4.


Drag and Drop - DDProxy
Examples
Drag test
Always on top test
Framed test
Sortable List
Slider
Multiple Handles
Targetable Affordance
Grid
Note: click the Disable Logger button to make the drag operation less choppy
Multiple groups, targetable affordance
Mode:
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Intersect
1
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{{define "headerhtml"}} Gobusta A minimal blog engine supports Markdown {{end}}
A minimal blog engine supports Markdown


{% if title %}
{{ junbo_subtitle }}
Here is my first website implementation with Flask and Bootstrap.
test2


{% set subpath = "/about" %} {% extends "base.html" %} {% block content %}
Hasb.ug is a URL shortener for bug tracker URLs.
Hasb.ug serves short domains like wkb.ug and redirects short URLs such as http://wkb.ug/63606 to long ones - For wkb.ug63606/, that is https://bugs.webkit.org/show_bug.cgi?id=63606.
You can tell your own domain or host name to hasb.ug service and bind a bug-tracker URL to the name. Hasb.ug then expands given short URL and redirects it to the long one you told.
This is called a shortener. Sign in using your Github account to let hasb.ug know about your shorteners.
Hasb.ug also provides names under hasb.ug domain for you. For example, you can create less.hasb.ug as a shortener for https://github.com/cloudhead/less.js/issues/. You don't need to pay for any domain names if you use names under hasb.ug domain.
Once purchased a domain for your bug, you need to
You can use this bookmarklet to shorten the bug URL: Shorten Bug!
Hasb.ug development is hosted at Github and you can report bugs or feature requests using the issue tracker. Any feedback would be appreciated :-)


Product Description
School is the place which helps prepare future of the society. Niograph helps these institutions by providing meaningful, efficient and user friendly ERP web solutions. It provides suite of products which connects various departments in an educational institution which are working in silos for decades.
Product Details
- Complete school management-all modules in one window
- Web based, mobile friendly user interface- Supports all web browser and android phones
- Indiviual user profile-Student, Teachers, Staff, Principal
- Major notification via-SMS, Email, Android app, Facebbok
- 24x7 customer support
- On-site support for quick remediation


{{ partial "header.html" . }} {{ partialCached "splash.html" . }} {{partial "waterfall.html" .}} {{ partialCached "footer.html" . }} {{partialCached "script.html" .}}


NBFCs with over ₹500 cr assets size now under IBC
by K R SrivatsOn the heels of putting in place a generic framework for insolvency proceedings of Systemically Important Financial Service Providers (FSP), the Centre has now specifically brought Non Banking Finance Companies (NBFCs) with over ₹500 crore assets size under the Insolvency and Bankruptcy Code (IBC) fold.
This latest move by the Corporate Affairs Ministry ( MCA) has been done in consultation with the Reserve Bank of India (RBI) and would cover housing finance companies too (those with asset size over ₹500 crore), official sources said.
It may be recalled that the generic framework provided that the Centre would, in consultation with the appropriate regulator, specify from time to time the category of FSP that would be brought under IBC for the purpose of their insolvency and liquidation proceedings.
The spate of NBFCs blowouts in the recent years had compelled the Government to invoke Section 227 of the IBC.
Corporate Affairs Secretary Injeti Srinivas had recently said that the special framework provided under Section 227 for financial service providers is essentially aimed at serving as an interim mechanism to deal with any exigency pending introduction of a full fledged enactment to deal with financial resolution of banks and other systemically important financial service providers. The special framework under Section 227 of IBC does not apply to banks.
NBFC view
Reacting to the latest MCA move to bring NBFCs with over ₹500 crore assets under IBC fold, Raman Aggarwal, Co-Chairman, Finance Industry Development Council said this is a positive move as with a defined resolution process in place, it should instil more confidence with the investors. However, the Centre must also immediately give NBFCs all the recovery tools that is currently available with other financial institutions, he added.
“Even as of today, NBFCs are not being given the benefit of all recovery tools. There are still various barriers that impede our recovery process”, Aggarwal said.
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This web page tests and validates the operation of the Service Worker Background Sync Exponential Backoff process. Open the browser's developer tools to the console window and watch what happens.


Dylan Peterkin
Always thinking about my next meal.
Strip steak t-bone pariatur, pastrami meatloaf adipisicing exercitation. Est doner bresaola turkey, voluptate adipisicing reprehenderit ham hock mollit et nisi pork picanha cow. Swine jerky in turducken prosciutto, short ribs corned beef pork loin brisket tail.
PDX Food & Lifestyle
Tail chicken pork chop salami hamburger, shankle shank.  T-bone tail sausage, cupim shank pastrami shoulder beef ribeye. Cupim pork kielbasa, alcatra bresaola kevin drumstick capicola filet mignon jowl leberkas spare ribs ground round tenderloin. Spare ribs shankle jowl swine flank. Bacon tenderloin brisket jerky filet mignon kielbasa capicola pancetta pork short loin rump chuck shank swine. Bacon landjaeger t-bone capicola.
Ball tip fatback corned beef frankfurter meatball boudin pancetta. Kielbasa rump bacon, tenderloin flank short ribs cow strip steak tail. Short loin shankle rump drumstick leberkas doner chicken.


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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object atg.cortex.ColumnDeclaration
This represents the declaration of a column, to be used as part of a TableDeclaration object.
| Field Summary | |
static java.lang.String |
CLASS_VERSION
Class version string |
| Constructor Summary | |
ColumnDeclaration(java.lang.String pName,
int pType)
Constructs a new ColumnDeclaration |
|
ColumnDeclaration(java.lang.String pName,
int pType,
int pSize)
Constructs a new ColumnDeclaration |
| Method Summary | |
java.lang.String |
getAdditionalConstraints()
Returns any additional, possibly database-dependent constraints for the column. |
static java.lang.String |
getJDBCTypeName(int pType)
Returns the name of the JDBC type corresponding to the type specified from java.sql.Types |
java.lang.String |
getName()
Returns the name of the column |
int |
getSize()
Returns the size of the column |
int |
getType()
Returns the type of the column taken from java.sql.Types |
boolean |
isNotNull()
Returns true if the NOT NULL constraint was added to the column. |
boolean |
isNull()
Returns true if the NULL constraint was added to the column. |
boolean |
isPrimaryKey()
Returns true if the PRIMARY KEY constraint was added to the column. |
boolean |
isSizeDeclared()
Returns true is a size was declared for the column |
boolean |
isUnique()
Returns true if the UNIQUE constraint was added to the column. |
ColumnDeclaration |
withAdditionalConstraints(java.lang.String pAdditionalConstraints)
Adds any other additional constraints to the column that are passed directly to the CREATE TABLE statement. |
ColumnDeclaration |
withNotNull()
Adds the NOT NULL constraint to the column. |
ColumnDeclaration |
withNull()
Adds the NULL constraint to the column. |
ColumnDeclaration |
withPrimaryKey()
Adds the PRIMARY KEY constraint to the column. |
ColumnDeclaration |
withSize(int pSize)
Sets the size of the column. |
ColumnDeclaration |
withUnique()
Adds the UNIQUE constraint to the column. |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
public static java.lang.String CLASS_VERSION
| Constructor Detail |
public ColumnDeclaration(java.lang.String pName, int pType)
pName
- the name of the columnpType
- the SQL type as taken from java.sql.Typespublic ColumnDeclaration(java.lang.String pName, int pType, int pSize)
pName
- the name of the columnpType
- the SQL type as taken from java.sql.TypespSize
- the size of the column, for variable-length types| Method Detail |
public ColumnDeclaration withSize(int pSize)
public ColumnDeclaration withNull()
public ColumnDeclaration withNotNull()
public ColumnDeclaration withUnique()
public ColumnDeclaration withPrimaryKey()
public ColumnDeclaration withAdditionalConstraints(java.lang.String pAdditionalConstraints)
public java.lang.String getName()
public int getType()
public int getSize()
public boolean isSizeDeclared()
public boolean isNull()
public boolean isNotNull()
public boolean isUnique()
public boolean isPrimaryKey()
public java.lang.String getAdditionalConstraints()
public static java.lang.String getJDBCTypeName(int pType)
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Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Dietary
Banoffee pie in cheesecake form is the ultimate twist on this indulgent pud.
For the cheesecake, place the crushed chocolate biscuits into a bowl. Add a third of the butter and all the honey to the crushed biscuits and mix everything together well with a wooden spoon.
Spoon the biscuit crumb mixture into a 23cm/9in springform cake tin and flatten with the back of a spoon.
Heat a frying pan until hot then add the remaining butter and the bananas and fry for 2-3 minutes, until golden-brown.
Remove the bananas from the pan and leave to one side to cool. Arrange the bananas on top of the biscuit base, reserving a few to serve.
Place the cream cheese and icing sugar into a bowl and whisk until smooth. Stir in the maple syrup and the dulce de leche or caramel.
Spoon the sweet cream cheese mixture into the cake tin on top of the bananas.
Place in the fridge and leave to set for at least 30 minutes, preferably overnight.
Meanwhile, for the chocolate sauce, place the butter and cream into a saucepan and bring to a simmer over a medium heat.
Add the chopped chocolate and stir to combine.
Turn the heat to low and keep the buttery chocolate on the hob until the chocolate has melted and the mixture is smooth and glossy.
To serve, remove the cheesecake from the fridge, remove the tin and place onto a serving plate. Top with the reserved fried bananas and a spoonful of chocolate sauce.


Pakistani diplomats ‘still being harassed by Afghan intelligence officials'
by Khalid MehmoodISLAMABAD: Despite assurances by the Afghan foreign ministry, Pakistani diplomats continued to be harassed by intelligence officials in Afghanistan even after Islamabad conveyed its concerns to Kabul, sources told The Express Tribune on Tuesday.
After frequent reported cases of Pakistani diplomatic personnel’s harassment in the war-torn country, the Pakistan Foreign Office on Sunday summoned the Afghan chargé d’affaires and conveyed serious concerns over the safety and security of embassy staff in Kabul and its sub-missions.
Diplomatic sources said that the visa section of the Pakistan embassy in Kabul remained closed for the third consecutive day which came as a huge blow for many Afghans, hundreds of whom apply daily for permits to travel to Pakistan where they seek medical treatment, goods and university educations.
Pakistan accused Afghan authorities for harassing its diplomats in Kabul for the past few days.
“As for the personnel of Pakistan’s diplomatic Missions in Afghanistan, who are being systematically harassed for the past few days, our concerns have already been conveyed to the Afghan government,” a statement issued by the Foreign Office on Tuesday said.
“We urge the Afghan authorities to take immediate steps to ensure safety and security of the personnel of Pakistan’s diplomatic Missions in Afghanistan,” it added.


{% load i18n %}
{% blocktrans %}Chair of Sociology, in particular modeling and simulation{% endblocktrans %}
{% blocktrans %} Present this coupon to the cashier at the official counter of ETH Zürich (F 67.1 in ETH main building, Rämistrasse 101 during the opening hours. Open Monday to Friday 11:00–13:00) {% endblocktrans %}


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Idiopathic Pulmonary Fibrosis is a progressive pulmonary disease of unknown etiology characterized, among others, by extensive lung scarring and fibrosis. It manifests mainly into older adults, half of which usually decease due to respiratory failure 3-5 years post diagnosis.
Despite many years of relentless attempts, the scientific community has not yet found a cure for IPF. Currently, the discovery and approval of two new anti-fibrotic treatments, nintedanib and pirfenidone, was able to delay disease progression, but not to increase overall survival, while several side effects have also been reported.
Quickly after their first introduction to the everyday laboratory practice, omics technologies have greatly boosted biomedical research leading to several major discoveries and the inevitable accumulation of a great number of datasets. Due to the heterogeneity of the latter, their scattering across the web and the different approaches used for their analysis, a fruitful meta-analysis is a time-consuming and laborious process even for those possessing the required computational skills. Consequently, centralized repositories/web servers dedicated to the carefull collection, selection and communication are urgently needed.


| renv::ci | Continuous Integration | HTML | source | R code | |
| renv::collaborating | Collaborating with renv | HTML | source | R code | |
| renv::docker | Using renv with Docker | HTML | source | R code | |
| renv::faq | Frequently Asked Questions | HTML | source | R code | |
| renv::local-sources | Local Sources | HTML | source | R code | |
| renv::lockfile | Lockfiles | HTML | source | R code | |
| renv::packages | Package Development with renv | HTML | source | R code | |
| renv::python | Using Python with renv | HTML | source | R code | |
| renv::renv | Introduction to renv | HTML | source | R code |


Building an Eclipse Help plugin is more than creating a toc.xml and a plugin.xml. You have to collect all needed files in the needed file structure and create a JAR with OSGi bundle information. Also references between the files should not be go outside the structure in a relative way (you could use links like http://ant.apache.org but no ../images). The makro buildPlugin does this work.
Mainly the cover.html from the Ant Manual loads an image from the site directory (../images). The link will be modified an the graphic will be copied.
| Attribute | Description | Required |
| manualDir | The directory where Ant's manual is. | Yes |
| antVersion | The version of Ant's Manual. | Yes |
| buildDir | Where to build the artefacts. | Yes |
| pluginDir | Whether to generate the plugin files. | No, default "@{buildDir}/manual4eclipse" |
| pluginPackage | In which package should the plugin reside. | No, default "org.apache.ant.manual" |
<target name="gen" xmlns:m4e="antlib:org.apache.ant.manual4eclipse"> <property name="build" value="build"/> <property name="ant.trunk" location="path/to/my/svn/checkout/of/Ant/Core"/> <mkdir dir="${build}"/> <m4e:buildPlugin manualDir="${ant.trunk}/docs/manual" antVersion="1.7.1alpha" buildDir="${build}" /> </target>This target generates an Eclipse Help plugin org.apache.ant.manual_1.7.1alpha.v20070301.jar (with 20070301 as timestamp) into build with the plugin files and the html manual from path/to/my/svn/checkout/of/Ant/Core/docs/manual.


The concept of petrochemical includes several interrelated meanings:
section of chemistry, studying the mechanism of transformations of hydrocarbons of oil and natural gas into useful products and raw materials;
section of chemical technology (second name - petrochemical synthesis), describing the technological processes used in the industry for processing oil and natural gas -
rectification, cracking, reforming, alkylation, isomerization, coking, pyrolysis, dehydrogenation (including oxidative), hydrogenation, hydration , ammonolysis, oxidation,
nitration, etc.;
a branch of the chemical industry, including production, a common feature of which is the deep chemical processing of hydrocarbon raw materials (fractions of oil, natural and
associated gas).


>>
<<
Usr
Pri
JfC
LJ
Phr
Dic
Voc
!:
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Dictionary
26. Polynomials: Roots from Coefficients (Newton’s Method)
Because the polynomials (m;r)&PIR and (c=:CFR (m;r))&p.
are identical, the parameters m;r and c
are said to be different representations of the same function.
Each representation has its own useful properties. For example,
addition of polynomials is easy in the coefficient representation
but difficult in the root representation;
the identification of the zeros of the function is
difficult in the coefficient representation but trivial
in the root representation. It is therefore useful to have
functions that transform each representation to the
other. CFR serves for one direction;
the inverse problem is approached by methods
of successive approximation.
For a differentiable function f , the difference (f r)-(f a)
for nearby points r and a is approximately equal
to the difference r-a multiplied by the slope of the
tangent to the graph of f at the point a,f a ,
that is, the derivative of f at a .
Conversely, the difference r-a is approximated
by ((f r)-(f a))%f D a, and r is
approximated by a+((f r)-(f a))%f D a .
If f is the polynomial c&p.
and r is one of its roots, then f r is zero,
and if a is an approximation to r ,
the expression for r reduces to a-(f a)%f D a .
This may provide a better approximation to r ,
and is embodied in Newton’s method, defined as an adverb,
and illustrated as follows:
newton=: 1 : '] - x % x D'
f=: (c=: 12 _10 2)&p.
f a=: 2.4
_0.48
f newton a
1.2
f 2
0
f newton ^:0 1 2 3 4 _ a
2.4 1.2 1.75385 1.9594 1.99848 2
]a=: (^ - 4:) newton ^: 0 1 2 3 _ a=: 1
1 1.47152 1.38982 1.3863 1.38629
^ {: a
4
For the particular case of polynomials, we may define an
adverb that applies to coefficients and uses the polynomial
derivative pD instead of the general derivative D :
pD=: 1 }. ] * i.@#
NEWTON=: 1 : '] - x&p. % (pD x)&p.'
c NEWTON ^:0 1 2 3 4 _ a=: 2.4
2.4 1.2 1.75385 1.9594 1.99848 2
>>
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Provides filtering and normalization frameworks for PDF data.
The underlying implementation relies on PDFBox, a PDF library for Java released under the BSD license. Though not all possible features are implemented by PDFBox, the PDF version supported is PDF 1.6 (PDF Reference, Fifth Edition).
Three classes in the {@link org.lockss.util} package are used to provide useful abstractions and utilities to clients of this package: {@link org.lockss.util.PdfDocument}, {@link org.lockss.util.PdfPage} and {@link org.lockss.util.PdfUtil}.
The PDF transform framework provides an API for the transformation of PDF documents, via a {@link org.lockss.util.PdfDocument} instance. The driving interface in this framework is {@link org.lockss.filter.pdf.PdfTransform}, with basic implementations such as {@link org.lockss.filter.pdf.CompoundPdfTransform}, {@link org.lockss.filter.pdf.ConditionalPdfTransform} or {@link org.lockss.filter.pdf.TransformSelectedPages}.
The PDF page transform framework provides an API for the transformation of PDF pages, via a {@link org.lockss.util.PdfPage} instance. The driving interface in this framework is {@link org.lockss.filter.pdf.PdfPageTransform}, with basic implementations such as {@link org.lockss.filter.pdf.CompoundPdfPageTransform}, {@link org.lockss.filter.pdf.ConditionalPdfPageTransform} or {@link org.lockss.filter.pdf.PdfPageStreamTransform}.
The PDF page stream transform framework is an extension to PDFBox's PDF stream engine facility, which processes the token streams of PDF pages using PDF operator processors. PDFBox's {@link org.pdfbox.util.PDFStreamEngine} and {@link org.pdfbox.util.PDFOperator} are extended respectively to {@link org.lockss.filter.pdf.PdfPageStreamTransform} and {@link org.lockss.filter.pdf.PdfOperatorProcessor}. The default PDF operator processor used by {@link org.lockss.filter.pdf.PdfPageStreamTransform} is {@link org.lockss.filter.pdf.SimpleOperatorProcessor}.
@author Thib Guicherd-Callin @since LOCKSS daemon 1.20 @see PDFBox web site @see PDF 1.6 specification (PDF Reference, Fifth Edition) @see Errata to the PDF 1.6 specification (PDF Reference, Errata to the Fifth Edition) @see Blend modes addendum to the PDF 1.6 specification (PDF Reference, Blend Modes Addendum to the Fifth Edition) @see org.lockss.util.PdfDocument @see org.lockss.util.PdfPage @see org.lockss.util.PdfUtil


Package org.drip.capital.stress
Class Event
java.lang.Object
org.drip.capital.stress.Event
public class Event
extends java.lang.Object
Event holds the Coordinate-Level Parameterization of a Stress Event. The References are:
- Bank for International Supervision(2005): Stress Testing at Major Financial Institutions: Survey Results and Practice https://www.bis.org/publ/cgfs24.htm
- Glasserman, P. (2004): Monte Carlo Methods in Financial Engineering Springer
- Kupiec, P. H. (2000): Stress Tests and Risk Capital Risk 2 (4) 27-39
- Module = Portfolio Core Module
- Library = Capital Analytics
- Project = Basel Market Risk and Operational Capital
- Package = Economic Risk Capital Stress Event Settings
- Author:
- Lakshmi Krishnamurthy
-
Constructor Summary
Constructors Constructor Description Event(EventSpecification specification, PnLSeries aggregatePnLSeries, java.util.Map<java.lang.String,PnLSeries> pnlSeriesDecompositionMap)
Event Constructor -
Method Summary
Modifier and Type Method Description PnLSeries
aggregatePnLSeries()
Retrieve the Event Aggregate PnL SeriesPnLSeries
attachedEventPnL(java.lang.String attachedEventName)
Retrieve the Specified Attached Event PnLjava.util.Map<java.lang.String,PnLSeries>
attachedEventPnLSeries()
Retrieve the Attached Event PnL Series Mapboolean
attachStressEventPnL(java.lang.String stressEventName, PnLSeries stressEventPnL)
Attach the Specified Stress Event PnLboolean
containsAttachedEvent(java.lang.String attachedEventName)
Indicate if the Named Attached Event is availableStressEventIncidenceEnsemble
generateEnsemble(java.lang.String parentStressEventType, java.lang.String childStressEventType)
Generate a Stress Event Ensemble of a given TypeStressEventIncidence
generateIncidence(java.lang.String stressEventType)
Generate a Stress Event Incidence of a given Typejava.util.Map<java.lang.String,java.lang.Double>
generatePnLDecompositionMap(double scaler)
Generate the PnL Decomposition Mapjava.util.Map<java.lang.String,PnLSeries>
pnlSeriesDecompositionMap()
Retrieve the PnL Series Decomposition MapEventSpecification
specification()
Retrieve the Stress Event SpecificationMethods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
-
Constructor Details
-
Event
public Event(EventSpecification specification, PnLSeries aggregatePnLSeries, java.util.Map<java.lang.String,PnLSeries> pnlSeriesDecompositionMap) throws java.lang.ExceptionEvent Constructor- Parameters:
specification
- Stress Event SpecificationaggregatePnLSeries
- Event Aggregate PnL SeriespnlSeriesDecompositionMap
- PnL Series Decomposition Map- Throws:
java.lang.Exception
- Thrown if the Inputs are Invalid
-
-
Method Details
-
specification
Retrieve the Stress Event Specification- Returns:
- Stress Event Specification
-
aggregatePnLSeries
Retrieve the Event Aggregate PnL Series- Returns:
- The Event Aggregate PnL Series
-
attachedEventPnLSeries
Retrieve the Attached Event PnL Series Map- Returns:
- The Attached Event PnL Series Map
-
pnlSeriesDecompositionMap
Retrieve the PnL Series Decomposition Map- Returns:
- The PnL Series Decomposition Map
-
attachStressEventPnL
Attach the Specified Stress Event PnL- Parameters:
stressEventName
- The Stress Event NamestressEventPnL
- The Stress Event PnL- Returns:
- TRUE - The Stress Event PnL successfully attached
-
containsAttachedEvent
public boolean containsAttachedEvent(java.lang.String attachedEventName)Indicate if the Named Attached Event is available- Parameters:
attachedEventName
- The Attached Event Name- Returns:
- TRUE - The Attached Event is available
-
attachedEventPnL
Retrieve the Specified Attached Event PnL- Parameters:
attachedEventName
- Attached Event Name- Returns:
- Attached Event PnL
-
generatePnLDecompositionMap
public java.util.Map<java.lang.String,java.lang.Double> generatePnLDecompositionMap(double scaler)Generate the PnL Decomposition Map- Parameters:
scaler
- PnL Scaler- Returns:
- PnL Decomposition Map
-
generateIncidence
Generate a Stress Event Incidence of a given Type- Parameters:
stressEventType
- The Stress Event Type- Returns:
- The Generated Stress Event Incidence
-
generateEnsemble
public StressEventIncidenceEnsemble generateEnsemble(java.lang.String parentStressEventType, java.lang.String childStressEventType)Generate a Stress Event Ensemble of a given Type- Parameters:
parentStressEventType
- The Parent Stress Event TypechildStressEventType
- The Child Stress Event Type- Returns:
- The Generated Stress Event Ensemble
-


This site is built from the ground up to be secure, reliable, and adaptable to any web viewing platform.
The concept of housesitting: Homeowners can go away, usually over long periods and leave their home and pets in the trust of a housesitter. In exchange for their home being looked after, housesitters are able to live rent free.
Going a way for a while, and need your house and pets looked after? A housesitter can offer you those services in exchange for free rent.


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#include <CMaterialBody.hpp>
Inheritance diagram for gpx::phy2d::CMaterialBody:
Public Member Functions | |
| math::Vector< 2 > | aCoef (const NewtonCollisionBase &bData) const |
| Get "a" coefficients. | |
| math::Vector< 2 > | bCoef (real_t p, const NewtonCollisionBase &bData) const |
| Get "b" coefficients for given elasticity. | |
| CMaterialBody (real_t m, phy::material_t material=0) | |
| Constructor. | |
| phy::material_t | material (element_t element) const |
| Get material id. | |
| phy::material_t | material () const |
| void | mountImpulse (const Impulse &impulse, const math::const_VectorPtr< 2 > &point=math::Vector< 2 >(0.0, 0.0)) |
| Mount impulse. | |
| virtual void | performDragnDrop (DragnDropCollider *collider) |
| void | roundAwayImpulse (Impulse &impulse, const NewtonCollisionData &data, bool normal) |
| Round away impulse. | |
| void | setMaterial (phy::material_t material) |
| virtual | ~CMaterialBody () |
| Destructor. | |
Private Attributes | |
| phy::material_t | m_material |
| gpx::phy2d::CMaterialBody::CMaterialBody | ( | real_t | m, | |
| phy::material_t | material = 0 | |||
| ) |
Constructor.
| m | mass. | |
| material | material id. |
| gpx::phy2d::CMaterialBody::~CMaterialBody | ( | ) | [virtual] |
Destructor.
| void gpx::phy2d::CMaterialBody::mountImpulse | ( | const Impulse & | impulse, | |
| const math::const_VectorPtr< 2 > & | point = math::Vector< 2 >(0.0, 0.0) | |||
| ) | [virtual] |
| void gpx::phy2d::CMaterialBody::roundAwayImpulse | ( | Impulse & | impulse, | |
| const NewtonCollisionData & | data, | |||
| bool | normal | |||
| ) | [virtual] |
Round away impulse.
Just before impulse is mounted, object may modify its state according to prepared collision data. Function may be also used to round away impulse from machine epsilon truncation.
| impulse | impulse. | |
| cData | collision data. | |
| normal | true if impulse is normal, false when parallel. |
Implements gpx::phy2d::ICNewtonMovable.
| math::Vector< 2 > gpx::phy2d::CMaterialBody::aCoef | ( | const NewtonCollisionBase & | bData | ) | const [virtual] |
Get "a" coefficients.
These are coefficients in form aFdt=b, where Fdt is an impulse. They have to be given in global coordinates. Separate paper shall explain how to calculate them.
Implements gpx::phy2d::ICNewton.
| math::Vector< 2 > gpx::phy2d::CMaterialBody::bCoef | ( | real_t | p, | |
| const NewtonCollisionBase & | bData | |||
| ) | const [virtual] |
Get "b" coefficients for given elasticity.
These are coefficients in form aFdt=b, where Fdt is an impulse. They have to be given in global coordinates. Separate paper shall explain how to calculate them.
| p | plasticity. |
Implements gpx::phy2d::ICNewton.
| phy::material_t gpx::phy2d::CMaterialBody::material | ( | element_t | element | ) | const [virtual] |


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[1]
way anyone could be anything other than highly complimentary about the physical nature of the place .
[2]
property and i felt the above was a significant service deficiency for the price point paid .


--- layout: page title: Protocols permalink: Research/Protocols/ menu: research published: true --- {% assign protocol_groups = site.data.protocols| group_by:"group" | sort: 'group' %} {% for group in protocol_groups %}


Welcome To Food Vlogs Website . Here you will find Different types of Food and Their Details !
Rajma chawal is kidney beans served with boiled rice. Some of the best Rajma is said to be grown in the north Indian state of Himachal Pradesh, Uttarakhand
Mutter means peas, and paneer is a solid cottage cheese, so this mutter paneer dish combines the two in a rich tomato-based gravy with a touch of cream.
Looking a lot like a pancake, aaloo paratha is actually a flatbread stuffed with a richly seasoned mashed potato.
you can make a kabab from pieces of fresh vegetables, but this vegetarian kabab is so much more satisfying. In Indian cuisine, kababs are a wide variety of grilled meat, some that are mixtures of ground meat and seasonings.
There’s nothing like the experience of stopping at a chaiwala on an Indian street and ordering a steaming cup of masala chai. The beverage has gained worldwide popularity, becoming a feature in many coffee and teahouses.
Samosas are a very popular traditional Indian Dish. Probably because samosas are a tasty, fried, or baked pastry with savory fillings.
Lassi’s are yogurt-based drinks made with water, spices, and sometimes fruit. Mango or cardamom-flavored lassis are some of the most popular
Contact us today to discuss your next online project.
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I am an eLearning resource designer at Monash College, currently living and working in Melbourne. I love what I do.
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Introduction¶
Software development projects are notoriously complex and difficult to deal with. Several support tools such as issue trackers, instant messaging services and Version Control Systems (VCSs) have been introduced in the past decades to ease development activities. While such tools efficiently track the evolution of a given aspect of the project (e.g., bug reports), they provide just a partial view of the project and lack of advanced querying support and data integration mechanisms between them to enable a complete project analysis. Gitana provides a conceptual schema (CS) to model the activity around a software project and an approach that, given a set of heterogeneous data sources (e.g., VCSs, issue trackers and forums), export their data to a relational database derived from the CS in order to:
- promote a shared place to perform cross-cutting analysis on the project data,
- enable users to write ad-hoc queries using standard SQL syntax, and
- support diverse kinds of data analysis.
To ensure efficiency, our approach comes with an incremental propagation mechanism that refreshes the database content with the latest modifications available on the data sources.
Requirements¶
Gitana is developed on Windows 7 and it relies on:
Python and pip package manager can be set to be executed from Windows command line by adding to the Path environment variable the paths where Python and its scripts are installed. By default, these paths are:
C:\Python27
C:\Python27\Scripts
Installation¶
Installation of Gitana is achieved by executing the setup script.
$> cd <...>/Gitana
$> python setup.py build
$> python setup.py install
Licensing¶
Gitana is distributed under the MIT License (https://opensource.org/licenses/MIT)
How to use Gitana¶
from gitana.gitana import Gitana
CONFIG = {
'user': 'root',
'password': 'root',
'host': 'localhost',
'port': '3306',
'raise_on_warnings': False,
'buffered': True
}
def main():
g = Gitana(CONFIG)
g.init_db("papyrus_db")
g.create_project("papyrus_db", "papyrus")
# import
g.import_git_data("papyrus_db", "papyrus", "papyrus_repo",
"...\\Desktop\\org.eclipse.papyrus")
g.import_bugzilla_issue_data("papyrus_db", "papyrus", "papyrus_repo",
"bugzilla-papyrus",
"https://bugs.eclipse.org/bugs/xmlrpc.cgi",
"papyrus")
g.import_eclipse_forum_data("papyrus_db", "papyrus", "papyrus-forum",
"https://www.eclipse.org/forums/index.php/f/121/")
g.import_stackoverflow_data("papyrus_db", "papyrus", "papyrus-so",
['YOUR-TOKEN-1', 'YOUR-TOKEN-2', ...])
g.extract_dependency_relations("papyrus_db", "papyrus", "papyrus_repo",
"...\\Desktop\\org.eclipse.papyrus")
# export
g.export_graph("papyrus_db", "./graph.json", "./graph.gexf")
g.export_activity_report("papyrus_db",
"./report.json", "./report.html")
if __name__ == "__main__":
main()


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Introduction
According to a recent World Health Organization (WHO) report, the worldwide average alcohol consumption per person (among 15 and older) in 2010 was 6.2 liters ( WHO, 2014 ). Of particular concern, in 10 countries the average consumption exceeded 13 or more liters per person, with nearly all of these countries located in Eastern Europe, including Russia and other former Soviet Union nations such as Belarus, Lithuania, Moldova, and Ukraine. For example, in Ukraine, residents consumed 13.9 liters on average. Even more concerning, the pattern of drinking score (PDS), which reflects the alcohol-attributable burden of disease based on risky drinking patterns (e.g., quantity, festive drinking, proportion getting drunk, daily consumption), is highest in the world in the Ukraine and Russia.
In terms of cultural context, emerging adults are a particularly interesting cohort to examine in the Ukraine given that these youths were born following the collapse of the Soviet Union in 1991 and there is ongoing current conflict with Russia. Specifically, in 2014 Russian invaded eastern Ukraine, annexing Crimea and occupying eastern regions the country (as of April 2016), with nearly 9000 deaths and 20,000 injured thus far according to the United Nations. The conflict has also negatively affected the economy, including slowed economic growth and increases in inflation. In terms of alcohol use, the effects of the current conflict are largely unknown. In 2013, data published from the Ukrainian Longitudinal Monitoring Survey shows about 4 in 10 males and 1 in 10 females drank alcohol in the last month, with typical age of initiation being 10 – 13 years old. Notably, 60% of poisoning among youth in the Ukraine was caused by alcohol ( Dvoretskaia, 2013 ). Although the legal drinking age in the Ukraine is 18 years old, beer was not legally classified as an alcoholic beverage until 2010 legislation was passed restricting access to low alcohol content beverages (e.g., beer). Underscoring the need for efforts to prevent and reduce risky drinking among emerging adults, recent neuroscience research shows that binge drinking may interfere with neuromaturational development of brain.
Early intervention for emerging adults with risky drinking may be a more effective use of resources than exclusive focus on treatment of those with alcohol use disorders ( Nathan, 1998 ). A pilot study conducted in the Ukraine surveyed emerging adults in an inpatient hospital and found that most did not think they had an alcohol problem; this study also found that common motives for alcohol use were related to coping with negative affect (e.g., stress, anxiety) and social influences (e.g., because my friends use alcohol) ( Polshkova et al., 2016 ). These findings are similar to that of American studies with college students, in which common motives for drinking included: coping-anxiety, coping-depression, social, enhancement, and conformity. In this regard, brief motivational interventions (BMIs) may be useful to enhance desire to change behavior and address motives for use in order to reduce risk of future alcohol problems.
In spite of the available literature from the United States regarding the efficacy of alcohol brief interventions (BIs) among emerging adults ( Spirito et al., 2004; Foxcroft et al., 2014; Carey et al., 2012 ), there is a critical lack of information about efficacy of BIs to reduce alcohol use among emerging adults in Ukraine. In Europe, a few studies have examined efficacy of BIs. Specifically, a German study provided a BI to medically referred alcohol intoxicated adolescents and emerging adults and examined the differences between “help accepters” and “help avoiders” with regard to socio-demographic characteristics and substance use patterns. Although promising, this study did not include a control group; thus, the efficacy of the BI remains to be determined. Another study conducted in the Czech Republic showed a BI reduced cannabis use, but not alcohol use, among adolescents in primary care in this regard, the authors noted cultural factors a potential barrier, including a drinking age of 18.
Thus, there remain unanswered questions around the effectiveness of BIs across different cultural contexts, and specifically among young adults in the Ukraine. The objective of our research was to explore the efficacy of an alcohol BI among emerging adults in the Ukraine with risky drinking. We adapted an evidenced-based therapist-delivered alcohol BI from the U.S. (Cunningham et al., 2014) and conducted parallel pilot studies in a university and an inpatient hospital setting. Primary hypotheses were that youth in the BI conditions would report significantly less alcohol consumption and consequences than youth in the control condition. Secondary analyses examined outcomes for other variables, including drug use consequences, depression and anxiety levels, sleep disorders, aggression, and quality of life. Findings provide novel data regarding the efficacy of BIs in the Ukraine, which is particularly important given unique cultural norms and history related to the fall of the Soviet Union and risky alcohol consumption patterns.
Thus, there remain unanswered questions around the effectiveness of BIs across different cultural contexts, and specifically among young adults in the Ukraine. The objective of our research was to explore the efficacy of an alcohol BI among emerging adults in the Ukraine with risky drinking. We adapted an evidenced-based therapist-delivered alcohol BI from the U.S. and conducted parallel pilot studies in a university and an inpatient hospital setting. Primary hypotheses were that youth in the BI conditions would report significantly less alcohol consumption and consequences than youth in the control condition. Secondary analyses examined outcomes for other variables, including drug use consequences, depression and anxiety levels, sleep disorders, aggression, and quality of life. Findings provide novel data regarding the efficacy of BIs in the Ukraine, which is particularly important given unique cultural norms and history related to the fall of the Soviet Union and risky alcohol consumption patterns.
Methods
Design and Setting
Over a one year period (October 2014-September 2015), this pilot study used a randomized controlled trial design to determine the efficacy of BI as compared to a control condition among two samples of youth screening positive for risky drinking. Researchers from the Psychoneurological Department recruited participants from two locations: the Railway Clinical Hospital, and classes at Bogomolets National Medical University (BNMU). Inclusion criteria were: adults ages 18-25 able to provide informed consent (adults presenting to the Railway Clinic Hospital for medical problems except for exclusion criteria below, and students of BNMU); speaks and writes Ukrainian or Russian. Exclusion criteria were: adults classified as “psychotic patients” (who need special treatment and were not able to follow the requirements of the protocol); adults deemed unable to provide informed consent by hospital personnel or research staff (e.g., intoxication, mental incompetence), and adults with suicide attempts in their history or with suicidal thoughts in the past (because they present in high psychological distress requiring intensive attention and intervention by staff); and pregnancy.
Potentially eligible emerging adults self-administered a screening survey on tablet computers. Those with risky drinking (Alcohol Use Disorders Identification Test-Consumption (AUDIT-C score >5)) were enrolled in the study, self-administered an additional baseline survey, and were randomized to condition (stratified by recruitment site): BI or control. The randomization was made in a “flip a coin” way using a list in which every other person was assigned to the BI condition. Participants self-administered a computerized follow-up assessment after 3 months, either during a return visit at the clinic or school, or online from home. Before the follow-up assessments our participants were reminded that their therapist won’t see their answers.
For the screening survey, participants completed the AUDIT-C ( DH, 2013 ), with a score of 5 or more indicating risky drinking and eligibility for the study. Those eligible self-administered an additional computerized baseline assessment. We used the Rutgers Alcohol Problem Index (RAPI) scale ( White and Labouvie, 2000 ) to identify alcohol related consequences, the Quality of Life Scale (QLS) ( Chaban, 2008 ) to evaluate quality of life of our patients, the Drinking Motives Questionnaire-Revised (DMQ-R) ( Kuntsche and Kuntsche, 2009 ) to measure drinking motives, the Patient Health Questionnaire (PHQ-9) 9-item scale for depression ( Kroenke et al., 2001 ), Generalized Anxiety Disorder (GAD-7) 7-item scale for anxiety ( Swinson, 2006 ), the Brief Sensation Seeking Scale (BSSS) ( Zuckerman et al., 1964; Zuckerman et al., 2007 ) to measure sensation seeking.], the Buss Perry Aggression Questionnaire (BPAQ) ( Buss and Perry, 1992 ), and the Drug Abuse Screening Test (DAST-10) 10-item scale ( Maisto at al., 2000 ) to measure drug problems. We also assessed number of days abstinent in the past 30 days from alcohol and other drugs.
BI Description
The BI was delivered using a motivational interviewing framework, in which a team of four psychologists and/or psychiatrists explored the participant’s motivation to change, as opposed to being prescriptive to a specific course of action ( Miller and Rollnick, 2002 ), with ambivalence about change being viewed as dynamic and common. The BI session consisted of a 50 minute in-person session at a baseline visit (see below: Step 1 and Step 2), structured using a booklet. Then, we conducted a 10-15 minute booster session (2-4 weeks after baseline visit) when we called the participant and supported them (Step 3). Given expected ambivalence, the BI and booster elicited the participant’s perspective about stopping or changing their alcohol use ( Miller et al., 2003 ), while avoiding stigmatizing them as alcoholics, problem drinkers, or in denial. Instead, the session were based on the premise that if participants do not feel judged, most will be open to at least discussing their alcohol or drug use and possibly considering the goal of avoiding future injuries and hospitalization.
Our BI included three steps. The first step was “Ask About Alcohol Use and Assess”. We asked our participants “Do you sometimes drink beer, wine, or other alcoholic beverages?” Considering the fact that all participants included into the study drank alcohol (inclusion criteria), they answered “Yes”. The next question was about heavy drinking days: “How many times in the past year have you had more than 4 drinks in a day? We tried to determine whether, in the past 12 months, our participants' drinking has repeatedly caused or contributed to risk of bodily harm (drinking and driving, operating machinery, swimming), relationship trouble (family or friends), role failure (interference with home, work, or school obligations), or run-ins with the law (arrests or other legal problems). One or more positive answers may indicate alcohol abuse. Also, we identified whether, in the past 12 months, our participants have not been able to stick to drinking limits or cut down/stop drinking, shown tolerance or signs of withdrawal, kept drinking despite problems, spent a lot of time drinking, and less time on other matters. Three or more positive answers may indicate alcohol dependence whereas fewer positive answers may indicate risky drinking. Thus, during this step we tried to understand the nature of their alcohol problems and raise the possible of change as a possibility in order to proceed to the next step.
The second step was “Advise and Assist”. We summarized consequences and medical concerns, made recommendations for reducing or stopping drinking, and identified their readiness to change drinking habits. If the participant was ready to commit to change, we helped to set a goal, agreed on a plan and provided them with educational materials. If not, we restated our concerns, encouraged reflections, identified barriers to change, and reaffirmed our willingness to help.
The third step was “Continue Support”. At this stage, we tried to determine if the participant was able to meet and sustain the chosen drinking goal. If yes, we reinforced and supported continued adherence to recommendations, renegotiating drinking goals as indicated (e.g., if the medical condition changes or if an abstaining patient wishes to resume drinking), encouraged them to return if unable to maintain goal, with recommendations for rescreening at least annually. If not, we acknowledged that changes are difficult, supported positive changes and addressed barriers, renegotiated goals and plans, considered a trial of abstinence and engaging significant others, and reassessed diagnosis if they were unable to either cut down or abstain.
Statistical Design
Data from computer surveys were transferred to SAS software version 9.2 (SAS Institute, Inc., Cary, NC) for analyses. To begin, we compared the two samples, patients and students (e.g., chi-square, t-tests). Next, regression analyses (e.g., Poisson, negative binomial, or logistic, based on variable examined) were conducted (for the combined total sample, and separately for patients and students) predicting alcohol consumption, non-drinking days, and consequences, with treatment group (BI vs. control) as a predictor variable and including baseline levels of the variable examined. Next, regression analyses were used to examine the effects of the BI (vs. control) on secondary outcomes of other drug use (non-drug use days, DAST-10 score), including baseline levels of the variable examined. Finally, regression analyses were used to explore the effects of the BI (vs. control) on other outcomes including depression, anxiety, aggression, sensation seeking, number of sexual partners, and quality of life (including baseline level of the variable examined).
Results
Screening
The total number of participants in the screening was n=587: 289 patients and 298 students. The total number of our subjects screening positive on the AUDIT-C was n=148 (120 successful screening and 28 refusals). Risky drinkers enrolled in the RCT were 60 patients (n=29 BMI and n=30 control) and 61 students (n=31 BMI and n=30 control). Follow-up rates were 100%, and occurred after 3 months (mean = 179.4; standard deviation= 39.3; range: 97-237).
Sample Description
The sample was 55% male, mean age = 21.3 (standard deviation = 2.5), 62.5% married, 69.2% had not completed university education, and 45.8% had a child/children. As compared to participants in the hospital setting, participants from the university setting were significantly younger, and single (as opposed to married), with fewer children, with lower rates of verbal aggression, anger and hostility (BPAQ) (data not presented). The two samples did not significantly differ based on gender, marital status, anxiety, depression, physical aggression, quality of life, sensation seeking, or motives. Finally, the two samples did not differ on motives for drinking or any of the alcohol or drug variables examined (AUDIT-C score, RAPI score, days abstinent, DAST score). Baseline characteristics are presented in Table 1
Table 1.
Efficacy of BMI vs. Control: Primary Outcomes
Regression analyses were conducted, separately for each setting, predicting alcohol outcomes (consumption, non-drinking days and consequences); models controlled for baseline alcohol levels and condition assignment (brief intervention or control). In the combined sample, the brief intervention group showed significantly less alcohol consumption and consequences and more non-drinking days at 3-months as compared to the control group (p<.001). Note that these findings were also significant when examining the hospital and university samples separately. Also, we examined efficacy separately for males and females; as compared to the control, the BI reduced alcohol consumption, consequences, and increased non-drinking days for both males and females (data available upon request) (Table 2).
Table 2.
Efficacy of the BMI vs Control: Secondary Outcomes
However, when examining other drug use (DAST-10 score), the brief intervention groups were not significantly different from the control groups when examined together, or separately based on the hospital or university sample (not presented). Finally, exploratory analyses showed that there were significant decreases of depression, anxiety, physical aggression, verbal aggression, anger, hostility, number of sexual partners and sensation seeking in the BI group as compared to the control group; quality of life significantly increased in the BI group as compared to the control group. Note that these outcomes were consistent for the hospital and university samples for all variables except for sexual partners, which significantly decreased in the hospital sample but not the university sample (data available upon request). Finally, findings for the efficacy of the BI, as compared to the control, on secondary outcomes were consistent for males and females (data available upon request), with no significant effects on drug use outcomes, and significant effects on the other variables described above.
Discussion
Data from this pilot study contributes to the literature by examining screening and brief intervention approaches adapted to a specific cultural context, namely emerging adulthood in the Ukraine. Although replication is required, results suggest that BI approaches may be efficacious for reducing risky drinking and consequences in the short term (e.g., 3-months) among emerging adults in both university and inpatient hospital settings. In addition to being the first of study on this topic in the Ukraine, this study also explored intervention effects on other outcomes to help understand potential mechanisms underlying changes following BI. Together, these findings inform research and clinical practice to enhance early identification in order to potentially alter problematic alcohol use trajectories among emerging adults in the Ukraine.
Data from this pilot study showed that as compared to a control condition, the BI, which included a telephone booster, reduced alcohol consumption and consequences, and increased non-drinking days, among both the university and hospital samples. Thus, even though clinician’s noted that patients the hospital sample seemed more receptive to the BI, whereas the university students were less enthusiastic, both samples reduced their alcohol consumption. The sample differences, in which students were younger and single, did not appear to affect the efficacy of the BI on alcohol outcomes. These findings are consistent with the literature in which BIs are effective for reducing alcohol consumption in clinic and university samples ( Spirito et al., 2004; Foxcroft et al., 2014; Carey et al., 2012 ). It is important to note that 100% of participants received the assigned BI and the booster, and the follow-up, potentially reflecting cultural norms in which patients and students comply with the requests of their doctors; alternatively, given the limited availability of services, these “free” services were viewed as beneficial. Such high rates of compliance have been found in other countries formerly part of the Soviet Union (e.g., Czech Republic).
Although primary outcomes related to alcohol were reduced following the BI, there were no effects upon drug use, as measured by DAST-10 score and non-drug use days. These findings could reflect the focus of the intervention on alcohol use, and the screen-- which was for risky drinking. Also, the study was limited in that no questions were asked regarding specific illicit or prescription drug used. In this regard, clinicians anecdotally noted that other drug use was fairly uncommon, consisting mostly of the use of sedative medications, which do not require a doctor’s prescription. Future studies are needed to determine how this intervention can be adapted to reduce other drug use in the Ukraine. Another BI study in the Czech Republic did not reduce alcohol use among a younger sample of adolescents, but did reduce other drug use. It may be that the focus on the intervention is important as research shows BIs only reduce targeted substances, even when multiple substances are targeted. For example, when alcohol and cannabis were targeted, both were reduced.
When translating the evidenced BI from the U.S. to the Ukraine, sensitivity to several cultural issues had to be considered. To begin, it was important to translate the interventions into the multiple languages used within countries, in this case Ukrainian and Russian, to increase comfort in the discussion of sensitive topics. Also, given the ongoing conflict with Russia that occurred during the time the BIs were delivered, motives for drinking were important to discuss in the context of coping with anxiety and depression, due to economic instability and financial stressors as well as concerns for safety of loved ones. Also, it was important to discuss social support for abstinence, and reduced drinking, as it is uncommon for young people to abstain in Ukraine. Under the war conditions in the Ukraine, young people may be particularly receptive to BIs which are “free” care, which may explain the positive outcomes from the BI found in this study. Future studies are needed during peacetime conditions.
We explored the effects of the BIs on other related factors to provide clues to potential mechanisms of BI effects. Caution is required when interpreting these findings, however, given their exploratory nature, the small sample size, and the design, which precluded complex statistical modeling (e.g., mediation/moderation) and causal determination. As compare to the controls, the BI reduced depression, anxiety, anger, aggression, and sensation seeking, but increased quality of life. These findings are consistent with the focus of the BI, which included alternatives for coping with negative affect and alternative ways to have fun and enjoy life. Future research is needed to examine the importance of these factors in sustaining reductions in drinking.
Several limitations require acknowledgement. To begin, data was collected by self-report, thus reactivity (e.g., underreporting, participants wanting to please) can’t be entirely eliminated. However, the fact that assessments were self-administered partly alleviates this concern. Still, it may be that participants in the BI condition, who could not be blind to condition assignment, underreported because they did not believe their data would be confidential, that is, kept private from their clinicians. Culturally, mistrust of government and disbelief of privacy is a common perspective among many Ukrainians. On the other hand, the control group did not show reductions in alcohol related outcomes, and thus appeared to believe their answers were confidential. Although they did not receive a BI, they did answer questions about alcohol use and receive a brochure. Regardless, the sample size was small, and representativeness can’t be established; thus, replication is required with additional longitudinal follow-ups to determine whether initial efficacy is sustained. Nonetheless, given that this is the first BI study in the Ukraine, the data presented are novel and make an important contribution to the literature.
Conclusions
Ideally, clinicians should be knowledgeable about substance abuse to be able to recognize risk factors for alcohol and other substance use among adolescents and emerging adults, screen for use, provide appropriate brief interventions, and refer to treatment [23,24]. Once replicated, study findings support the integration of alcohol use prevention programs into the medical and educational system among emerging adults in the Ukraine. Further research is needed to replicate and extend these promising findings with other samples of adolescents and emerging adults in various healthcare and educational settings in Ukraine.
References
Global status report on alcohol and health 2014. Country profiles . WHO. 2014. –288. | Full text
Johnston LD, O`Malley PM, Bachman JG, Schulenberg JE , authors. Monitoring the Future national survey results on drug use, 1975-2006. Volume 1: Secondary school students . National Institute on Drug Abuse. 2007, 326p.| Full text
Dvoretskaia L , author. Pianaia strana. Okolo myllyona ukrayntsev zavysymы ot alkoholia, bolshe vseho piut v 18-29 let. . NBNews. 2013. | Full text
Spirito A, Monti PM, Barnett NP, Colby SM, Sindelar H, Rohsenow DJ, Lewander W, Myers MA , authors. A randomized clinical trial of a brief motivational intervention for alcohol-positive adolescents treated in an emergency department . J Pediatr. 2004. 145(3):p. 396–402. DOI: 10.1016/j.jpeds.2004.04.057
A revised Alcohol Use Disorders Identification Test Consumption (AUDIT C ) which places questions 1, 2 and 3 of the AUDIT first with the remaining 7 AUDIT questions after . DH. 2013. | Full text
White HR, Labouvie EW , authors. Longitudinal trends in problem drinking as measured by the Rutgers Alcohol Problem Index . Alcoholism: Clinical and Experimental Research. 2000. 24(76A) | Full text
Chaban OS , author. Yakist zhyttia patsiienta z pozytsii medychnoi psykholohii . Mystetstvo likuvannia. 2008. 51(5):p. 40–43. DOI: 10.3109/10826084.2016.1156700 | Full text


Those of you who enjoy listening to the Hooting Yard On The Air podcasts, be warned. Following an important meeting chaired by Mrs Gubbins, the programmes will shortly be recalibrated, and you will no longer be able to listen to them on such equipment as iPods and mp3 players. Instead you will need to obtain a 1952 Zenith Radio Hat. I am sure you will agree that your listening pleasure will be distinctly enhanced.


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The Fibonacci sequence is a sequence of numbers created by the Italian mathematician Fibonacci in the 13th century. This is a sequence starting with 1 and 1, where each subsequent number is the sum of the previous two. For the clock I used the first 5 terms: 1, 1, 2, 3 and 5.
The screen of the clock is made up of five squares whose side lengths match the first five Fibonacci numbers: 1, 1, 2, 3 and 5. The hours are displayed using red and the minutes using green. When a square is used to display both the hours and minutes it turns blue. White squares are ignored.
To tell time on the Fibonacci clock you need to do some math. To read the hour, simply add up the corresponding values of the red and blue squares. To read the minutes, do the same with the green and blue squares. The minutes are displayed in 5 minute increments (0 to 12) so you have to multiply your result by 5 to get the actual number.


Summary
This section contains information for installing the Perfstat server on sun solaris hosts. The perfstat server for solaris comes as a package. By default the package will install into /opt/PERFsvr.
Package Installation
1) Copy the perfstat_vX.XX-solXXXX.pkg to the /tmp directory.
2) Run the following command to install the rpm:
pkgadd -d /tmp/perfstat_vX.XX-solXXXX.rpm
Perfstat Server Installation
3) Create perfstat user by running the following command:
useradd -d /opt/PERFsvr psuser
4) Create perfstat group by running the following command:
groupadd psgroup
5) Add perfstat user as a member of the perfstat group by running the following command:
usermod -g psgroup psuser
6) Run the following command to change directory into the perfstat client install directory:
cd /opt/PERFsvr/install
7) Run the following command to install and configure the perfstat client:
./perfinstall.sh /opt/PERFsvr
8) Enter psuser as the perfstat user.
9) Enter psgroup as the perfstat group.
10) Enter "Y" for yes to allow the installation program to change permissions of the /opt/PERFsvr directory.
11) Enter "Y" for yes to allow the installation program to start perfstat automatically upon boot.
<Picture>
Perfstat Global Configuration
12) Enter path to perfhome directory /opt/PERFsvr
13) Enter psuser as the perfstat user.
14) Enter psgroup as the perfstat group.
15) Enter 0 for debug level.
16) Enter "Y" for yes to save global settings.
Perfstat Server Configuration
17) Enter IP address of host you are configuring as perfstat server. By default it will grab the IP address of the current host.
18) Enter port you would like perfstat server daemon to listen on. For security you should always use a port greater than 1024. The default is 2002.
19) Enter max bytes for an individual perfstat server connection. The default is 8KB.
20) Enter perfstat server ping interval. Interval perfstat will use to ping clients. The default is 5 minutes.
21) Enter perfstat server status interval. Interval perfstat will use for checking client status. The default is 30 minutes.
22) Enter "Y|N" depending on if you would like to enable email alerts. The default is "N"
22a) Enter "Y|N" depending on if you would like to enable email alerts for all event status changes.
22b) Enter "Y|N" depending on if you would like to enable email alerts for crit status changes.
22c) Enter "Y|N" depending on if you would like to enable email alerts for warn status changes.
22d) Enter "Y|N" depending on if you would like to enable email alerts for nostatus status changes.
22e) Enter IP address of SMTP server. The SMTP server can be a mail relay.
23) Enter "Y|N" depending on if you would like to enable event logging. The default is "Y"
23a) Enter max event log size in number of lines. The default is 100.
Perfstat Client Configuration
24) Enter the IP address of the perfstat server. By default it will grab the IP address of the current host.
25) Enter the port for the perfstat server.
26) Enter perfstat client services. You should except the default unless you have special requirements.
27) Enter perfstat client run interval. You should except the default unless you need more or less granular data.
28) Enter path to ps command. The configuration program will try and find the path automatically buy you should double check.
29) Enter path to vmstat command. The configuration program will try and find the path automatically buy you should double check.
30) Enter path to iostat command. The configuration program will try and find the path automatically buy you should double check.
31) Enter path to netstat command. The configuration program will try and find the path automatically buy you should double check.
32) Enter path to df command. The configuration program will try and find the path automatically buy you should double check.
33) Enter path to swap command. The configuration program will try and find the path automatically buy you should double check.
34) Enter path to prtconf command. The configuration program will try and find the path automatically buy you should double check.
35) Enter path to ifconfig command. The configuration program will try and find the path automatically buy you should double check.
36) Enter path to kstat command. The configuration program will try and find the path automatically buy you should double check.
37) Enter "Y" for yes to save client settings.
If something changes later on, you can always re-run the installation program or the configuration program manualy. The configuration program is located in /perfhome/bin/tools/perfconfig.


Adjust the start and end positions
so that only the sentence shown is played back.
The following keyboard shortcuts may be helpful:
- s: copy playback position into start.
- e: copy playback position into end.
- ↑, ↓: adjust highlighted playback position.
- ~: restart playback.


résumé
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Education
Griffith University
Bachelor of Animation
2015 – Present
Work Experience
BWS
Sales Assistant
August 2015 - Present
Thiess Pty Ltd
Senior Help Desk Officer
August 2012 – June 2015
Thiess Pty Ltd
Help Desk Officer
September 2009 – August 2012
HSBC Insurance Brokers (UK)
Application Support
July 2008 – June 2009
Telstra Communications/Julia Ross Consulting
Data Analyst
March 2007 – April 2008
Queensland Newspapers (News Ltd)
Customer Service/Circulation Officer
June 2004 – February 2007
SM2 Web Developments
Network Manager (traineeship)
April 2003 – May 2004
Skills
Primary
- Modelling
- 3D Animation
Secondary
- Rigging
- Texturing
- Lighting
- Drawing
- Video Editing
- Sound Editing
- Web Design
- Photography
- IT Support
Software
- Maya
- Vue Xstream
- Photoshop
- Premiere
- After Effects
- Toon Boom
- Light Room
- Pro Tools
- Jekyll
- Windows
- Linux
- Mac OSX


WITNESS LIST Transportation Committee April 17, 2001-2:00P HB 1138 On: Bohuslav, Thomas (Texas Department of Transportation) Registering, but not testifying: For: Velasquez, Sally (Hispanic Contractors Association) HB 1375 For: Lyons, Steve (Houston Police Department) Rash, Jeanette (Texas Towing and Storage Association) Registering, but not testifying: On: Lopez, Carlos (Texas Department of Transportation) HB 1492 For: Hinkle, Ron (Verizon Wireless) Jennings, Carol (Self) Mitchell, George (Self and Texas Agricultural Aviation) Ratliff, Thomas (AT&T Wireless, Voicestream Wireless, Western Wireless, Texas Association of Paging Services) Watson, Ben (Sprint PCS) Registering, but not testifying: For: Harp, Kimberly J. (Self) Hooper, Jerry (Aircraft Owners & Pilots Association) Jennings, Bobby (Self) Richardson, Jody (Crown Castle International, American Tower, Spectra Site Holdings, Inc., and SBA, Iinc.) Shields, Chris (Texas Agricultural Aviation Association) On: Fulton, David (Texas Department of Transportation) Hubert, Martin (Texas Department of Agriculture) HB 2043 For: Bramlett, John (Texas Association of Pupil Transportation) Paull, Don (National Association for Pupil Transportation) Registering, but not testifying: On: Dixon, Sam (Texas Education Agency) HB 3551 On: Clanton, Coy (Texas Department of Public Safety) Registering, but not testifying: For: Gonzalez, Rene (City of Laredo, Mayor Elizabeth Flores) Haynes, Jorge (International Bank of Commerce) Perales, Raul (Fasken Oil and Ranch) Against: Findeisen, Les (Texas Motor Transportation Association) On: Wueste, Ed (Texas Department of Transportation) SB 4 For: Altman, Eric (JP Morgan Chase) Barnes, Bob (Self and TEX 21/ Motran) Bushell, Gary (Alliance for I-69 Texas) Bushell, Gary (Corpus Christi Chamber of Commerce) Bushell, Gary (US 190 Coalition) Harper-Brown, Linda (Self and TEX 21 and City of Irving) Jackson, Lee (Self and Dallas County, Judge and Dallas Regional Mobility Coalition) Noell, Martha (Weslaco Chamber of Commerce) Richardson, Rad (Sherman Chamber of Commerce) Sitton, Windy (City of Lubbock, Mayor and Ports-to-Plains Coalition) Solomon, Greg (Burleson Area Chamber of Commerce and Texas Association of Business and Chambers of Commerce) Suhm, Vic (Self and North Texas Commission) Turner, Jerry (Self) White, Michael (Greater Houston Partnership) On: Gadbois, Glenn (Texas Citizen Fund) Johnson, Johnny (Texas Transportation Commission) Williamson, Ric (Texas Transportation Commission) Registering, but not testifying: For: Bynam, Anderson (Self) Chambers, Spencer (Texas Association of Business and Chambers of Commerce) Cron, Richard (Harris county Judge Robert Eckels' office) Findeisen, Les (Texas Motor Transportation Association) Finklea, David C. (Alliance for I-69 Texas) Finklea, David C. (Greater Houston Partnership) Flores, Elizabeth G. (Mayor, City of Laredo) Garcia, Joe A. (Texas Border Infrastructure Coalition) Garza, Jorge A. (Self and Solomon, Smith, Barney) Gutierrez, Hector (City of El Paso) Hentges, Sandy (Greater Austin Chamber of commerce) Igo, Shanna (Texas Municipal League) Jiles, Jodie Lee (Greater Houston Partnership) Krier, Cyndi Taylor (Judge, Bexar County) Lee, Donald (Texas Conference of Urban Counties) Mayfield, Kenneth A. (Self and Dallas County Commissioners court) McCarley, James (Dallas Regional Mobility Coalition) Paniagua, Joe (Fort Worth City Council) Privett, Tony (City of Lubbock) Robinson, Carroll G. (Self and Houston City Council) Rul, Jr., Fidel R. (City of Alice, Mayor) Seei, Kathy (Self and City of Frisco, Mayor and TEX 21) Sickels, Linda (Trinity Industries, Inc.) Stewart, Jay (Hance, Scarborough, and Wright) Uribarri, Laura (Greater El Paso Chamber of Commerce) Velasquez, Sally (Webb, Willacyn, and Zapata counties and The City of Eagle Pass) Zacharias, Larry (City of Richardson) On: Olsen, Lawrence (Texas Good Roads Association) SB 241 For: Bushell, Gary (Corpus Christi Chamber of Commerce) Bushell, Gary (US 190 Coalition) On: Bass, James (Texas Department of Transportation, Director, Finance Division) Redwine, Augustin (Comptroller of Public Accounts) Williamson, Ric (Texas Transportation Commission) Registering, but not testifying: For: Barnes, Bob (Motran) Bushell, Gary (Alliance for I-69 Texas) Bynam, Anderson (Self) Chambers, Spencer (Texas Association of Business and Chambers of Commerce) Cron, Richard (Harris County Judge Robert Eckels' office) Flores, Elizabeth G. (Mayor, City of Laredo) Garcia, Joe A. (Texas Border Infrastructure Coalition) Garza, Jorge A. (Self and Solomon, Smith, Barney) Gutierrez, Hector (City of El Paso) Harper- Brown, Linda (Self and TEX 21 and City of Irving) Hentges, Sandy (Greater Austin Chamber of Commerce) Mayfield, Kenneth A. (Self and Dallas County Commissioners court) Robinson, Carroll G. (Self and Houston City council) Rul, Jr., Fidel R. (City of Alice, Mayor) Seei, Kathy (Self and Mayor of Frisco) Stewart, Jay (Hance, Scarborough, and Wright) Suhm, Vic (Self and North Texas Commission) Taylor Krier, Cyndi (Bexar County Judge) Uribarri, Laura (Greater El Paso Chamber of Commerce) Velasquez, Sally (Webb, Willacy, and Zapata counties, and The City of Eagle Pass) Zacharias, Larry (City of Richardson) Against: Gadbois, Glenn (Texas Citizen Fund) Johnson, Thomas L. (AGC of Texas) Olsen, Lawrence (Texas Good Roads Association) On: Johnson, Johnny (Texas Transportation Commission) Winters, Clint (Comptroller of Public Accounts) SB 249 Registering, but not testifying: For: Flores, Elizabeth G. (Mayor, City of Laredo) Gadbois, Glenn (Texas Citizen Fund) Hentges, Sandy (Greater Austin Chamber of Commerce) Against: Olsen, Lawrence (Texas Good Roads Association) On: Redwine, Augustin (Comptroller of Public Accounts) Winters, Clint (Comptroller of Public Accounts) SB 586 For: Lewis, Bill (Mothers Against Drunk Driving) Registering, but not testifying: For: Kearns, Dennis (Burlington Northern Santa Fe Railway) Olson, Ron (Union Pacific Railroad Company) Sickels, Linda (Trinity Industries, Inc.) On: Lopez, Carlos (Texas Department of Transportation) Richardson, Dr. Herbert (Texas Transportation Institute) SB 888 Registering, but not testifying: For: Findeisen, Les (Texas Motor Transportation Association) SB 889 For: Findeisen, Les (Texas Motor Transportation Association) Registering, but not testifying: For: Allison, Jim (County Judges and Commissioners Association of Texas) SJR 10 For: Bushell, Gary (Corpus Christi Chamber of Commerce) Bushell, Gary (US 190 Coalition) On: Bass, James (Texas Department of Transportation, Director, Finance Division) Redwine, Augustin (Comptroller of Public Accounts) Williamson, Ric (Texas Transportation Commission) Registering, but not testifying: For: Bushell, Gary (Alliance for I-69 Texas) Bynam, Anderson (Self) Flores, Elizabeth G. (Mayor, City of Laredo) Garcia, Joe A. (Texas Border Infrastructure Coalition) Garza, Jorge A. (Self and Solomon, Smith, Barney) Gutierrez, Hector (City of El Paso) Hentges, Sandy (Greater Austin Chamber of Commerce) Igo, Shanna (Texas Municipal League) Stewart, Jay (Hance, Scarborough, and Wright) Suhm, Vic (Self and North Texas Commission) Taylor Krier, Cyndi (Bexar County Judge) Velasquez, Sally (Webb, Willacy, and Zapata counties, and The City of Eagle Pass) Against: Gadbois, Glenn (Texas Citizen Fund) Olsen, Lawrence (Texas Good Roads Association) On: Johnson, Johnny (Texas Transportation Commission) Winters, Clint (Comptroller of Public Accounts) SJR 16 For: Bushell, Gary (Alliance for I-69 Texas) Bushell, Gary (Corpus Christi Chamber of Commerce) Bushell, Gary (US 190 Coalition) Jackson, Lee (Self and Dallas County, Judge and Dallas Regional Mobility Coalition) Solomon, Greg (Burleson Area Chamber of Commerce and Texas Association of Business and Chambers of Commerce) Suhm, Vic (Self and North Texas Commission) White, Michael (Greater Houston Partnership) On: Gadbois, Glenn (Texas Citizen Fund) Johnson, Johnny (Texas Transportation Commission) Williamson, Ric (Texas Transportation Commission) Registering, but not testifying: For: Bynam, Anderson (Self) Findeisen, Les (Texas Motor Transportation Association) Flores, Elizabeth G. (Mayor, City of Laredo) Garcia, Joe A. (Texas Border Infrastructure Coalition) Garza, Jorge A. (Self and Solomon, Smith, Barney) Gutierrez, Hector (City of El Paso) Hentges, Sandy (Greater Austin Chamber of commerce) Igo, Shanna (Texas Municipal League) Krier, Cyndi Taylor (Judge, Bexar County) Lee, Donald (Texas Conference of Urban Counties) McCarley, James (Dallas Regional Mobility Coalition) Paniagua, Joe (Fort Worth City Council) Stewart, Jay (Hance, Scarborough, and Wright) Velasquez, Sally (Webb, Willacy, and Zapata counties and The City of Eagle Pass) Zacharias, Larry (City of Richardson) On: Olsen, Lawrence (Texas Good Roads Association)


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June 5th Competition @ Oregon State
Oregon State Robitcs is a club dedicated to further the abilites and skills of all majors, not just those in engineering; through participation in BattleBots. We design, manufacture, and build our very own robots as well as handle
logistics.
Our members design and build 1lb robots, to learn important skills that will later help bring Oregon State University to the forefront of every robotics sector worldwide.
Mondays 6:00pm in Austin Hall 270
Workshop Time: Sundays 1-4pm in Rogers Hall 336
Email<EMAIL_ADDRESS>for sponsorship opportunities
President
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Quiz Board
Hello there, lets see how much you have learnt about javascript. Enter your details below to start!
Please enter your name here:
Start Test!
What is jQuery?
jQuery is a library of JavaScript Functions.
jQuery stands for Structured Query Language.
jQuery stands for Cascading Style Sheets.
jQuery communication between computers on the Internet.
When linking JavaScript in HTML it should start with?
Do_script
Start_script
script
scr
What is the each function used for?
The Each function allows you to loop though every element in a parent element.
The Each function allows you to put the word "Each" into each element.
The Each function allows you to loop through different elements with a class or ID.
None of the above.
Which of the following asserts that the variables `A`, `B`, and `C` have unequal values?
A !== B || B !== C
A !== B & B !== C
A !== B && B !== C && A !== C
A !== B
What character ends a javascript statement?
An exclamation mark “!”
A semicolon “;”
A period “.”
A colon “:”
Click Here to reveal your marks!
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Identify a particular line in a source file.
More...
#include <opae/cxx/core/except.h>
Identify a particular line in a source file.
Definition at line 37 of file except.h.
◆ src_location() [1/2]
| opae::fpga::types::src_location::src_location |
( |
const char * |
file, |
|
|
const char * |
fn, |
|
|
int |
line |
|
) |
| |
|
noexcept |
src_location constructor
- Parameters
-
| [in] | file | The source file name, typically FILE. |
| [in] | fn | The current function, typically func. |
| [in] | line | The current line number, typically LINE. |
◆ src_location() [2/2]
| opae::fpga::types::src_location::src_location |
( |
const src_location & |
other | ) |
|
|
noexcept |
◆ operator=()
◆ file()
| const char* opae::fpga::types::src_location::file |
( |
| ) |
const |
|
noexcept |
Retrieve the file name component of the location.
◆ fn()
| const char* opae::fpga::types::src_location::fn |
( |
| ) |
const |
|
inlinenoexcept |
Retrieve the function name component of the location.
Definition at line 56 of file except.h.
References fn_.
◆ line()
| int opae::fpga::types::src_location::line |
( |
| ) |
const |
|
inlinenoexcept |
Retrieve the line number component of the location.
Definition at line 60 of file except.h.
References line_.
◆ file_
| const char* opae::fpga::types::src_location::file_ |
|
private |
◆ fn_
| const char* opae::fpga::types::src_location::fn_ |
|
private |
◆ line_
| int opae::fpga::types::src_location::line_ |
|
private |