TABLE OF INTERACTIONS WITH
OPIOIDS FOR REPLACEMENT THERAPY
From the French ANSM drug interactions document of September 2016, p. 162
OPIOIDS FOR REPLACEMENT THERAPY CLASS CODE: N07BC |
PARTIAL AGONIST OPIOIDS CLASS CODE: PARAG |
Risk of appearance of a withdrawal syndrome |
CONTRAINDICATION |


| Package | Description |
|---|---|
| org.batfish.dataplane.rib |
| Modifier and Type | Class and Description |
|---|---|
class |
BgpBestPathRib |
class |
BgpMultipathRib |
class |
ConnectedRib
Rib for storing
ConnectedRoute s |
class |
IsisLevelRib
Rib for storing
IsisRoute s |
class |
IsisRib
Rib for storing
IsisRoute s |
class |
LocalRib |
class |
OspfExternalType1Rib |
class |
OspfExternalType2Rib |
class |
OspfInterAreaRib |
class |
OspfIntraAreaRib |
class |
OspfRib |
class |
Rib
Represents a general RIB, capable of storing routes across different protocols.
|
class |
RipInternalRib
Rib that stores internal RIP routes
|
class |
RipRib
A
Rib for storing RIP (both internal and external) routes. |
class |
StaticRib |
| Modifier and Type | Method and Description |
|---|---|
AbstractRib<R> |
RibDelta.getRib()
Get the owner RIB of this RibDelta
|
| Modifier and Type | Method and Description |
|---|---|
static <U extends AbstractRoute,T extends U> |
AbstractRib.importRib(AbstractRib<U> importingRib,
AbstractRib<T> exportingRib)
Import routes from one RIB into another
|
static <U extends AbstractRoute,T extends U> |
AbstractRib.importRib(AbstractRib<U> importingRib,
AbstractRib<T> exportingRib)
Import routes from one RIB into another
|
static <U extends AbstractRoute,T extends U> |
RibDelta.importRibDelta(AbstractRib<U> importingRib,
RibDelta<T> delta)
Apply a
RibDelta to a given RIB |
static <U extends AbstractRoute,T extends U> |
RibDelta.importRibDelta(AbstractRib<U> importingRib,
RibDelta<T> delta,
Prefix p)
|
| Constructor and Description |
|---|
Builder(AbstractRib<R> rib)
Initialize a new RibDelta builder
|
Copyright © 2014–2018. All rights reserved.


Twentieth Century (1934)
a retrospective by Christian Pyle
When searching this afternoon for a comedy my sick wife hadn't seen, I chose Howard Hawks' "Twentieth Century." She didn't laugh much, but this is one of those comedies that gets funnier with familiarity. John Barrymore stars in a delicious self-parody. His character, Broadway director Oscar Jaffe, is egotistical ham given to grand melodramatic gestures. From Oscar's catch-phrase expression of disapproval ("I cast the iron door upon you") to something as simple as turning over a picture, Barrymore plays every word, every movement with a perfect flair for the deliberately theatrical.
The plot concerns Oscar's relationship with an actress he discovered and groomed (Carole Lombard). She was a lingerie model named Mildred Plotka until Oscar decided she was an actress and changed her name to Lily Garland. Lily's career takes off quickly, but she feels smothered by Oscar's obsessive attention. She runs off to Hollywood and becomes a star; Oscar goes broke trying to create another star. They meet again on a train, the Twentieth Century. Since we saw her last, Lily has become just like her mentor-a melodramatic egomaniac. The ensuing conflict anticipates the battles of the sexes in Hawks' better known comedies, "Bringing Up Baby" (1938) and "His Girl Friday" (1940).
In addition to the dueling egos, Roscoe Karns is a treat as Owen O'Malley, Oscar's drunken publicist. More than any other aspect of the movie, O'Malley's sarcastic barbs showcase the wit of writers Ben Hecht and Charles MacArthur, best known for "The Front Page" (the basis for "His Girl Friday"). Etienne Girardot is also a hoot as an oddball who goes around the train putting up stickers saying, "REPENT for the time has come."
Grade: B+
© 1999 Christian L. Pyle
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Isar735.github.io
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{% extends 'blogApp/base.html' %} {% load static %} {% block content %}
this is story about glorious transformation made by 4 members to serve or contribute in the filed of web development.To performing various activities which will be fruitful to world is major target moretheless Legends are still trying to server service to those who really want such help in their life.Making journey of all individuals easy is major goal in mind which is only hope to transform a life style of main in incoming days through our values .thank you
this is story about glorious transformation made by 4 members to serve or contribute in the filed of web development.To performing various activities which will be fruitful to world is major target moretheless Legends are still trying to server service to those who really want such help in their life.Making journey of all individuals easy is major goal in mind which is only hope to transform a life style of main in incoming days through our values .thank you


COW: OCaml on the Web
Writing web-applications requires a lot of skills: HTML, CSS, XML, JSON, Markdown, JavaScript and SQL, to name but a few! You also need to master the art of plumbing: translating concepts across languages is tedious and error-prone.
This post describes a library we developed to help solve these problems, dubbed Cow (for Caml On the Web). Cow generalises our previous post about HTCaML by:
-
extending standard OCaml syntax with embedded web DSLs. It has a quotation mechanism which parses HTML, CSS or XML to OCaml, and also anti-quotations that form a template mechanism.
-
using type-driven code generation to generate markup directly from OCaml type declarations. It is possible to mix hand-written and generated code to deal with special-cases.
Most of the work is done at pre-processing time, so there is no runtime costs and the generated OCaml code can be manually inspected if desired.
####Quotations and anti-quotations
Camlp4 quotations are an easy way to manipulate the OCaml syntax tree and embed custom syntax.
Quotations are named, and are enclosed between <:name< ... >>
.
Each name has a corresponding parser that handles the contents between the angle brackets.
Code can still be embedded via anti-quotations that escape back to the
OCaml world using $...$
inside quotations.
Lets show an example of this via a built-in camlp4
quotation, <:expr< ... >>
, which translates OCaml syntax into its corresponding AST fragment (as the compiler itself does):
let x = <:expr< Random.int 10 >>
let e = <:expr< 1 + $x$ >>
let t = <:ctyp< int list >>
instead of the more tedious:
let x =
Ast.ExApp (_loc,
(Ast.ExId (_loc,
(Ast.IdAcc (_loc,
(Ast.IdUid (_loc, "Random")),
(Ast.IdLid (_loc, "int")))))),
(Ast.ExInt (_loc, "10")))
let e =
Ast.ExApp (_loc,
(Ast.ExApp (_loc,
(Ast.ExId (_loc,
(Ast.IdLid (_loc, "+")))),
(Ast.ExInt (_loc, "1")))),
x)
let t =
Ast.TyApp (_loc,
(Ast.TyId (_loc,
(Ast.IdLid (_loc, "int")))),
(Ast.TyId (_loc,
(Ast.IdLid (_loc, "list")))))
In Cow, each web syntax registers its own quotation, within which a user can write any valid code of the embedded language, and use anti-quotations to call back into OCaml code. Values produced by anti-quotations should be of the same type as the quotations they are embedded in. Below is an example of an HTML quotation:
let world : Html.t = <:html< "World" >>
let html = <:html<
Hello $world$!
 >>
Here, quotations will be expanded to values of type Html.t
(the type annotation is provided
for clarity, and is usually inferred automatically).
It is possible to give hints to the quotation expander about the expected type of a given anti-quotation.
The hints appear as a prefix of the anti-quotations; the usual
ones are $str:...$
for strings, $int:...$
and $flo:...$
for numerals and $list:...$
for lists.
The preceding example could thus be written as:
let world = "world"
let html = <:html<
Hello $str:world$!
 >>
It is possible to use different quotations in the same file:
let css = : Css.t = <:css
>
let xml : Xml.t =
<:xml< <book><title>foo</title></book> >>
let js : Javascript.t =
<:js< document.write("This is my first JavaScript!"); >>
let js2 : Javascript.t =
<:camlscript< List.iter print_int [1;2;3] >>
The <:css< >>
, <:xml< >>
and <:html< >>
quotations are present in MirageOS today, and the <:js< >>
and <:camlscript< >>
quotations will be integrated soon. js
uses Jake Donham’s ocamljs and an early prototype of camlscript
is available on Github.
###Type-driven Code Generation
In ML, we rely on the type-inferrer/checker as much as possible. Types are usually specified first, followed by the functions which manipulate values of those types. The static typing in OCaml means that type information is discarded at run-time, making it cheap to encode as much of the problem in the types as possible.
- the language of types is expressive (product types, sum types, objects, type variables, etc.)
- the language of types is concise.
- all the complex types are inferred.
So the idea in Cow is to use normal OCaml types in programs and automatically generate web fragments from them. We previous experimented with a similar approach to persist ML values via a SQL-based Object Relational Mapper.
Let’s try to create a web-page containing some tweets using quotations only. First of all, let’s define the types:
type user = {
id_str : string;
screen_name : string;
}
type status = {
id : int;
user : user;
text : string;
}
Then let us reason by induction on the types.
For user:
let html_of_user u = <:html<

$str:u.id_str$

$str:u.screen_name$

>>
let css_of_user = <:css<
.id_str { display: none; }
.screen_name { display: inline; color: blue; }
>>
For status updates:
let html_of_status s = <:html

$int:s.id$

$html_of_user s.u$

$str:s.text$

>>
let css_of_status = <:css<
.id { display: none; }
.user $css_of_user$;
.text { color: grey; }
>>
The coding style is nice because we can write HTML and CSS fragments
close to where the type is defined. However, some of the code
written to generate the HTML fragments is quite repetitive.
Fortunately, Cow can generate default code based on annotated type
definitions. The html_of_user
and html_of_status
functions above
can be automatically generated by adding with html
to type
definitions, as shown below:
type user = {
id_str : string;
screen_name : string;
} with html
type status = {
id : int;
user : user;
text : string;
} with html
The css_of_*
values are very application specific and so there is no support for
auto-generating this. However, it may be possible to generate a CSS validator to
check that the CSS fragment generated for a type does not define classes which are not defined
in the type.
####More code generation
The next step is to use the Twitter API to actually read tweets? The API uses JSON, and most of the existing implementations use a JSON un-marshaler to association lists, and then build an ML object out of it (such as ocamltter or ocaml-twitterstream). In Cow, we instead rely on code-generation like this:
type user = {
id_str : string;
screen_name : string;
} with json
type status = {
id : int;
user : user;
text : string;
} with json
The type t = [..] with json
will automatically generate JSON marshal and unmarshalling functions:
val t_of_user : t -> Json.t
val user_of_t : Json.t -> t
It is possible to combine multiple code generators by separating the annotations with a comma, e.g.
type t = [..] with html,json
. It is thus possible to use Cow with the ORM
library to persist typed values with SQLite (this is not integrated into MirageOS just yet, but will be soon).
####Mixing generated and hand-written code
Manual and automatic code generation can also be easily mixed. The code which is auto-generated simply calls
into other functions with predictable names (e.g. html_of_foo
). Since OCaml is lexically scoped, the user simply
has to override this function by manually defining it, and it will be used in place of the auto-generated fragment.
A good example of mixing automatically generated and manually written code is the bindings to Atom for blog syndication. This has some very specific attribute names in the content which cannot be auto-generated:
type meta = [..] with xml
type content = Xml.t
let xml_of_content c = <:xml<
<content type="xhtml">
<xhtml:div xmlns:xhtml="http://www.w3.org/1999/xhtml">
$c$
</xhtml:div>
</content>
>>
type entry = {
entry : meta;
summary : string option;
content : content;
} with xml
type feed = {
feed : meta;
entries : entry list;
}
let xml_of_feed f = <:xml<
<feed xmlns="http://www.w3.org/2005/Atom">
$xml_of_meta f.feed$
$list:List.map xml_of_entry f.entries$
</feed>
>>
This has been a quick overview of the Cow syntax handlers in MirageOS. They are still a work-in-progress, but this website is built using them. Thanks to Jake Donham and Nicolas Pouillard for their excellent meta-programming tutorial at CUFP 2010 that kicked off this work.


Modules | |
| MST_TOG Data Structures | |
| MST_TOG Functions | |
| MST_TOG Enumerated Data Types | |
===========================================================================
This is the CSL-FL API documentation for the VBUSM Master Timeout Gasket module.
The following procedure describes how to properly use this CSL-FL API:
Whenever a read return or write status return is pending without being accepted, an internal timer increments by 1. Whenever the counter value meets or exceeds the programmed value, the gasket is in a timed out state and the following actions are taken:
Following servicing of the timeout interrupt, software should...


augment-auto¶
A python image augmentation library based on opencv and numpy. It can be used for augmenting images in both image classification and object detection tasks. Many different techniques of augmentation are supported, which can be clustered into three major types - geometric transformations, photometric transformations and kernel-based transformations. Library has support for images with bounding boxes as well.
Installation¶
Install using pip:
pip install augment-auto
Install by building from scratch:
git clone https://github.com/keshavoct98/image-augmentation
cd image-augmentation
python setup.py install
Features¶
Geometric Features - Image augmentation with geometric transformation of images.
- crop(img, point1, point2, box = None)
Returns cropped image. Image is cropped using point1(x1, y1) and point2(x2, y2).
- img = numpy.ndarray
Image to be cropped.
- point1 = tuple of int
initial crop coordinates in the format - (x1, y1).
- point2 = tuple of int
final crop coordinates in the format - (x2, y2).
- box = list, default = None
Coordinates of bounding box in the format - (x1,y1,x2,y2). If bounding box coordinates are passed, new coordinates are calculated and returned along with output image.
- rotate(img, angle, keep_resolution = True, box = None)
Returns image rotated at the given angle.
- img = numpy.ndarray
Image to be rotated.
- angle = integer or float
value of angle at which image is to be rotated.
- keep_resolution = bool, default = True
If True, resolution of image remains same after rotation, else resolution is changed.
- box = list
Coordinates of bounding box in the format - (x1,y1,x2,y2). If bounding box coordinates are passed, new coordinates are calculated and returned along with output image.
- scale(img, fx, fy, keep_resolution = False, box = None)
Returns scaled image.
- img = numpy.ndarray
Image to be scaled.
- fx = integer or float
scaling value for x-axis.
- fy = integer or float
scaling value for y-axis.
- keep_resolution = bool, default = False
If True, resolution of image remains same after scaling, extra region is cropped out.
- box = list
Coordinates of bounding box in the format - (x1,y1,x2,y2). If bounding box coordinates are passed, new coordinates are calculated and returned along with output image.
- shear(img, shear_val, axis = 0, box = None)
Returns sheared image along given axis.
- img = numpy.ndarray
Image to be sheared.
- shear_val = integer or float
shearing magnitude for given axis.
- axis = {0,1}, default = 0
0 for shear along x-axis, 1 for shear along y-axis.
- box = list
Coordinates of bounding box in the format - (x1,y1,x2,y2). If bounding box coordinates are passed, new coordinates are calculated and returned along with output image.
- translate(img, tx, ty, box = None)
Returns translated image.
- img = numpy.ndarray
Image to be translated.
- tx = integer or float
translation magnitude along x-axis.
- ty = integer or float
translation magnitude along y-axis.
- box = list
Coordinates of bounding box in the format - (x1,y1,x2,y2). If bounding box coordinates are passed, new coordinates are calculated and returned along with output image.
# Geometric Transformations img = cv2.imread('images/3.jpg') img_new = crop(img, point1 = (100, 100), point2 = (450, 400)) img_new = rotate(img, angle = 15, keep_resolution = True) img_new = scale(img, fx = 1.5, fy = 1.5, keep_resolution = False) img_new = shear(img, shear_val = 0.2, axis = 1) img_new = translate(img, tx = 50, ty = 60)
# Geometric Transformations with bounding box img = cv2.imread('images/0.jpeg') bbox = [581, 274, 699, 321] img_new, bbox_new = crop(img, point1 = (100, 100), point2 = (650, 400), box = bbox) img_new, bbox_new = rotate(img, angle = 15, keep_resolution = True, box = bbox) img_new, bbox_new = scale(img, fx = 1.5, fy = 1.3, keep_resolution = False, box = bbox) img_new, bbox_new = shear(img, shear_val = 0.2, axis = 0, box = bbox) img_new, bbox_new = translate(img, tx = 50, ty = 160, box = bbox)
Photometric Features - Image augmentation with photometric transformation of images.
- brightness_contrast(img, alpha = 1.5, beta = 0)
Returns image with new pixel intensities.
img_new = img * alpha + beta
- img = numpy.ndarray
Image whose brightness and contrast has to be modified.
- alpha = integer or float, non-negative, default = 1.5
All pixel values of the passed image are multiplied by value of alpha.
- beta = integer or float, default = 0
Vaue of beta is added to all pixel values of the passed image after multiplication of pixel values with value of alpha.
- colorSpace(img, colorspace = ‘hsv’)
Returns image converted to the new colorspace. Three types of colorspace are supported - HSV, YCrCb, LAB.
- img = numpy.ndarray
Image whose colorspace has to be converted.
- colorspace = {‘hsv’, ‘ycrcb’, ‘lab’}, default = ‘hsv’
Colorspace to which image is to be converted.
- addNoise(img, noise_type = ‘gaussian’, mean = 0, var = 0.05, sp_ratio = 0.5, noise_amount = 0.02)
Returns image with added noise. Three different types of noise are supported - GAUSSIAN, Salt n Pepper, Poisson.
- img = numpy.ndarray
Image to which noise has to be added.
- noise_type = {‘gaussian’, ‘salt_pepper’, ‘poisson’}, default = ‘gaussian
Type of noise to add.
- mean = int or float, (required only with noise_type = ‘gaussian’)., default = 0
Gaussian noise is generated using mean value.
- var = int or float, non-negative, (required only with noise_type = ‘gaussian’)., default = 0.05
Gaussian noise is generated from the standard deviation calculated value of variance provided.
- sp_ratio = int or float, range :- 0 <= sp_ratio <= 1, (required only with noise_type = ‘salt_pepper’)., default = 0.5
Percentage of salt noise and pepper noise. if value passed is equal to 1, only salt noise is present. Similarly if value is 0, only pepper noise is present.
- noise_amount = int or float, non-negative, (required only with noise_type = ‘salt_pepper’ or ‘poisson’)., default = 0.02
magnitude of salt n pepper/poisson noise is calculated using noise_amount.
# Photometric Transformations img = cv2.imread('images/1.jpg') img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB) img_new = brightness_contrast(img, alpha = 1.3, beta = 20) img_new = brightness_contrast(img, alpha = 0.7, beta = -10) img_new = colorSpace(img, colorspace = 'hsv') img_new = colorSpace(img, colorspace = 'ycrcb') img_new = colorSpace(img, colorspace = 'lab') img_new = addNoise(img, 'gaussian', mean = 0, var = 0.08) img_new = addNoise(img, 'salt_pepper', sp_ratio = 0.5, noise_amount = 0.1) img_new = addNoise(img, 'poisson', noise_amount = 0.5)
Kernel-based features
- blur(img, blur_type = ‘avg’, ksize = (5, 5), median_ksize = 5, gaussian_sigma = 0)
Returns blurred image. Three different types of blurring are supported - GAUSSIAN, Salt n Pepper, Poisson.
- img = numpy.ndarray
Image to be blurred.
- blur_type = {‘avg’, ‘gaussian’, ‘median’}, default = ‘avg’
Type of blurring to perform.
- ksize = tuple of odd positive integers, (required only with blur_type = ‘avg’ or ‘gaussian’)., default = (5, 5)
kernel size used for average or gaussian blurring.
- median_ksize = int, odd positive integer, (required only with blur_type = ‘median’)., default = 5
kernel size used for median blurring.
- gaussian_sigma = int or float, (required only with blur_type = ‘gaussian’)., default = 0
Standard deviation used to calculate gaussian kernel.
- randomErase(img, size, box = None)
A random rectangular region is erased and replaced by mean value of image pixels. Returns modified image.
- img = numpy.ndarray
Image to be modified.
- size = tuple of int
Size of rectangular region to erase.
- box = list
Coordinates of bounding box in the format - (x1,y1,x2,y2). If bounding box coordinates are passed, rectangular region is erased from the bounding box region.
- randomCropAdd(img, size, box = None)
A random rectangular region is erased and added to another region of image. Returns modified image.
- img = numpy.ndarray
Image to be modified.
- size = tuple of int
Size of rectangular region to erase and add.
- box = list
Coordinates of bounding box in the format - (x1,y1,x2,y2). If bounding box coordinates are passed, rectangular region is cropped from and added to the bounding box region.
- sharpen(img)
Returns sharpened image.
- img = numpy.ndarray
Image to be sharpened.
# Kernel-based Transformations img = cv2.imread('images/0.jpeg') bbox = [581, 274, 699, 321] img_new = randomErase(img, size = (100, 100)) img_new = randomCropAdd(img, size = (100, 100)) img_new = sharpen(img) img_new = randomErase(img, size = (60, 40), box = bbox) img_new = randomCropAdd(img, size = (60, 40), box = bbox) img_new = blur(img, 'avg', ksize = (9,9)) img_new = blur(img, 'gaussian', ksize = (9,9), gaussian_sigma = 0) img_new = blur(img, 'median', median_ksize = 11)
LICENSE¶
MIT License
Copyright (c) 2020 keshav sharma
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


Cloud architecture is formed of the elements, both front and back-end, which come together to deliver infrastructure in a highly available and fault-tolerant way, when correctly engineered.
When building a new cloud environment, it is essential to structure the architecture so it is able to expand and grow without becoming fragmented, which consequently loses high availability and fault tolerance.
To ensure that our solutions achieve these goals, we generally adopt the Amazon Web Services (AWS) Well-Architected Framework. Developed architectures are therefore completed in line with AWS best practices, making them easier to further develop and expand in future.
Many of our customers come to us because their initial, basic architecture has started to creak under the strain of growth. Fragmentation, faults and reduced availability are common as the architecture is not well suited to the planned expansion.
The AWS Well-Architected Framework is often a solid starting point when analysing and assessing an existing architecture.
It allows us to quickly understand, and solve problems within the old architecture including:
The AWS Well-Architected Framework is often a solid starting point when analysing
The AWS Well-Architected Framework is often a solid starting point when analysing
The AWS Well-Architected Framework is often a solid starting point when analysing
The AWS Well-Architected Framework is often a solid starting point when analysing
With our deep understanding of the AWS platform, and experience delivering countless projects to clients, we’re able to assess the client’s requirements against the strengths and weaknesses of the platform.
This ensures the architecture we deliver is a good fit for our clients, and delivers the speed, efficiency, and high availability they require.


WITNESS LIST Finance Committee April 24, 2003 - 8:30A SB 480 FOR: Jacobson, Trey Asst. Director - Economic Development (City of San Antonio), San Antonio, TX ON: LeBas, James (Comptroller's Office) SB 502 Registering, but not testifying: For: Glover, Sue Governmental Relations Manager (Texas Assoc. of Counties), Austin, TX Hynson, Kathy Retired (Self), Rosenberg, TX Kennard, Karen Attorney (Texas Municipal League), Austin, TX Rodriguez, Jennifer Shelley Attorney (County & District Clerks Assoc. of Texas), Austin, TX Tuttle, Michele Hays Co. Treasurer (County Treasurer's Assoc. of Texas) Wood, Vivian Williamson Co. Treasurer (County Treasurer's Assoc. of Texas), Georgetown, TX SB 657 FOR: Schneider, Debbie Budget Director (Tarrant County), Ft. Worth, TX Registering, but not testifying: For: Aghamalian, Brandon Government Relations (City of Ft. Worth), Ft. Worth, TX Lee, Donald Executive Director (Tx Conference of Urban Counties), Austin, TX McMillan, Lisa Economic Development Coordinator (Tarrant County), Ft. Worth, TX Mitchell, Seth Bexar Co. Intergovernmental Svc. Mgr. (Bexar Co. Commissioners Court), San Antonio, TX Walley, Elizabeth Finance Director (City of Grand Prairie, TML, GFOAT), Grand Prairie, TX SB 658 Registering, but not testifying: For: Blassingame, David Automotive Leasing (National Vehicle Leasing Assn.) Bonilla, Ray Ray Wood & Bonilla LLP (Lenders & Members Service Group) Cates, Phil Lobbyist (Nat'l. Vehicle Leasing Assn.), Austin, TX Duffy, Tom (Lenders and Members Service Group), Arlington, TX Harper, Alan Financial Services (Lenders & Members Service Group, Inc.) Rogers, Rob Auto Leasing (Nat'l. Vehicle Leasing Assn.), Dallas, TX Thompson, Jerry Vehicle Leasing (Nat'l. Vehicle Leasing Assn.), Austin, TX SB 823 FOR: Burton, Shelley Sales Tax Manager (JC Penney Company/Eckerd Drug), Dallas, TX Courtney, Chuck President (Texas Retailers Association), Austin, TX Hankins, Barbara Retired (League of Women Voters of Texas), Austin, TX AGAINST: Fawcett, Jimmy Chief of Police (City of Farmers Branch), Farmers Branch, TX Harris, David City Administrator (City of Hill Country Village), Hill Country Village, TX Hickerson, Marcus Retired (Waxahachie) Manthei, Claire Director of Finance (City of Sugar Land), Sugar Land, TX Mink, Brad Economic Developer (City of Carrollton), Carrollton, TX Neves, Kerry Attorney (City of Dickinson - Mayor Pro Tem), Dickinson, TX Rose, John Mayor Pro Tem (City of Stafford), Stafford, TX Traeger, Drew City Administrator (Town of Hollywood Park), Hollywood Park, TX ON: Kautz, David Asst. City Mgr/CFO (City of Round Rock) Kim, Eleanor Ass. Dir. of Tax Administration (Texas Comptroller), Austin, TX Registering, but not testifying: For: Chiodo, Dana Consultant (American Electronics Assoc.), Austin, TX Gonzalez, Victor Lobbyist (Foley's), Austin, TX Howard, Jay (Wal-Mart Stores) Kennedy, John Senior Analyst (Tx Taxpayers & Research Assoc.), Austin, TX Against: Sokoll, Bob City Manager (Waxahachie), Waxahachie, TX Providing written testimony: For: Pohl, Stephen Real Estate Manager (Int'l. Council of Shopping Centers), Houston, TX Against: Chandler, Clayton City Manager (City of Mansfield), Mansfield, TX SB 832 Registering, but not testifying: For: Fleming, Martin VP of Public Affairs (Tx Independent Producers & Royalty Owners Assn.), Austin, TX Sellers, Tom Manager - State Government Affairs (Conoco Phillips) Stevens, Bill Executive VP (Tx Alliance of Energy Producers), Abilene, TX Vinson, David Mineral Management (Nat'l. Assoc. of Royalty Owners) SB 1170 ON: Garcia, Olga Manager, Tx Medicaid/CHIP office (Health & Human Services Commission) SB 1364 Registering, but not testifying: On: Flowers, Lee Chief Appraiser (Cherokee Co. Appraisal District), Rusk, TX SB 1522 FOR: Dunkelberg, Anne Senior Policy Analyst (Center for Public Policy Priorities) Holcomb, M.D., John Physician (Texas Medical Association), San Antonio, TX Rossberg, Cathy VP, Gov't Relations (Amerigroup Texas), Dripping Springs, TX Registering, but not testifying: For: Brewer, Sister Helen Advocacy Consultant (Seton Healthcare Network) Craven, Susan Executive Director (Texans Care for Children), Austin, TX Hankins, Barbara Retired (League of Women Voters of Texas), Austin, TX Kolodzey, Patricia Director, Insurance/Managed Care (Texas Hospital Association), Austin, TX Kroll, Carrie Director of Advocacy & Public Health (Texas Pediatric Society), Austin, TX Oser, Marie Government Affairs, V.P. (CHS/RCHS) Peters, Richard Consultant (Tx Assoc. of Public and Non-profit Hospitals), Austin, TX Ruffing, Therese Consultant (Tx Assoc. of Health Plans) Sperry, Bryan Director (Children's Hospital Assoc. of Texas), Austin, TX On: Cooke, Jason Assoc. Commissioner, Medicaid/CHIP (Tx Health & Human Services Commission), Austin, TX SB 1543 FOR: Miller, Robert Attorney (Lakewood Church), Austin, TX SB 1646 FOR: Bennett, Tony VP Government Affairs (Temple-Inland), Austin, TX Dvorman, Doug Manager, Taxes & Leases (Louisiana Pacific Corp.), Silsha, TX Flowers, Lee Chief Appraiser (Cherokee Co. Appraisal District), Rusk, TX ON: Boggus, Tom Forester (Texas Forest Service), College Station, TX Wooten, Tim State employee (Texas Comptroller), Austin, TX Registering, but not testifying: For: Christian, George Attorney (Tx Forest Industries Council), Austin, TX Hufford, Ron (Texas Forestry Assoc.) Morgan, Todd (Temple-Inland Forest Products), Austin, TX Redington, Penny Attorney (Timber Counties' Coalition), Austin, TX SB 1664 ON: Kasparek, Monica Program Administrator (Texas Bond Review Board), Austin, TX Registering, but not testifying: For: Ellmer, Mindy (Poseidon Resources), Austin, TX Garvin, John (Tx Assoc. of Affordable Housing Providers) Golemon, Kinnan Attorney (Gulf Coast Waste Disposal Authority, etc.), Austin, TX Henneberger, John (Tx Low Income Housing Information Service), Austin, TX Mintz, David (Texas Apartment Assoc.), Austin, TX Petersen, Ken General Counsel (Texas Rural Water Assoc.), Austin, TX Stewart, Brent Affordable Housing Development (Trammel Crow Residential) Talerico, Jeanne Director (Tx Assn of Local Housing Finance Agencies) On: Carrington, Edwina Executive Director (TDHCA) Providing written testimony: For: Cooksey, Jim Manager, Financial Services (Gulf Coast Waste Disposal Authority), Houston, TX Woodrick, James (Texas Chemical Council), Austin, TX SCR 1 Registering, but not testifying: On: Wieferman, John Revenue Estimator (Comptroller)


A collection of functions for Kronecker structured covariance estimation and testing under the array normal model. For estimation, maximum likelihood and Bayesian equivariant estimation procedures are implemented. For testing, a likelihood ratio testing procedure is available. This package also contains additional functions for manipulating and decomposing tensor data sets. This work was partially supported by NSF grant DMS-1505136. Details of the methods are described in Gerard and Hoff (2015) <doi:10.1016/j.jmva.2015.01.020> and Gerard and Hoff (2016) <doi:10.1016/j.laa.2016.04.033>.
| Version: | 1.0.1 |
| Imports: | assertthat |
| Suggests: | knitr, rmarkdown, covr, testthat |
| Published: | 2018-08-15 |
| Author: | David Gerard [aut, cre], Peter Hoff [aut] |
| Maintainer: | David Gerard <gerard.1787 at gmail.com> |
| BugReports: | http://github.com/dcgerard/tensr/issues |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | tensr citation info |
| Materials: | README |
| CRAN checks: | tensr results |
| Reference manual: | tensr.pdf |
| Vignettes: |
Equivariant Estimation Likelihood Inference |
| Package source: | tensr_1.0.1.tar.gz |
| Windows binaries: | r-devel: tensr_1.0.1.zip, r-release: tensr_1.0.1.zip, r-oldrel: tensr_1.0.1.zip |
| OS X binaries: | r-release: tensr_1.0.1.tgz, r-oldrel: tensr_1.0.1.tgz |
| Old sources: | tensr archive |
| Reverse imports: | catch |
Please use the canonical form https://CRAN.R-project.org/package=tensr to link to this page.


This information is only available for Ensembl sequences from certain RNA types annotated by Rfam and miRBase.
This information is not available for this RNA type.
No related sequences found.
This RNA has {{ $ctrl.count }} ortholog/paralog
{{ $ctrl.error }}


Blew By Ya
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Interface for a controller definition. Contains the targeted function (class) and containing middlewares. The definition must be able to create the routes that are registered within the controller.
ControllerDefinition
The target class that is decorated with the controller decorator.
{Function}
A collection of middlewares that is contained in the given controller. Middleware priority is: Controller -> Route (they are concatenated).
{RequestHandler[]}
A function that creates the routes for a given controller. Those routes are then modificated and registered.
GiuseppeRoute[]
Interface for a controller definition. Contains the targeted function (class) and containing middlewares. The definition must be able to create the routes that are registered within the controller.
ControllerDefinition


Faisean Ráta ("us", "we", or "our") operates www.faiseanrata.com (the "Site"). This page informs you of our policies regarding the collection, use and disclosure of Personal Information we receive from users of the Site. We use your Personal Information only for providing and improving the Site. By visiting this Site you agree to be bound by the terms and conditions of this Privacy Policy. If you do not agree please do not use or access our Site. By using the Site, you agree to the collection and use of information in accordance with this policy. This Privacy Policy is effective upon acceptance in registration and/or by access by you to the Site.
While using our Site, we may ask you to provide us with certain personally identifiable information that can be used to contact or identify you. Personally identifiable information may include, but is not limited to your name ("Personal Information”). You can browse the Site without revealing any personal information about yourself. To fully use our Site, you will need to register using our online registration form, where you may be required to provide us with your name, date of birth, contact number, email id, user id, password, etc. You always have the option to not provide information by choosing not to use a particular service or feature on the Site. We agree that we will not sell or rent your personal information to third parties for their marketing purposes without your explicit consent.
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--- layout: post title: Blog transferred date: '2010-02-16T22:08:22+01:00' tags: category: 'Writing' tumblr_url: http://andywenk.tumblr.com/post/393318628/blog-transferred ---
Hi,
actually I transferred the posts I wrote in the old blog back to April 2009. These are the posts written in English so I did not transfer the older ones also. You can view the old blog entries (mainly in german so) by following this link:
http://blog-old.netzmeister-st-pauli.de
I have a lot of ideas for new posts here but these days a special girl is asking for my full attention …
Kiana and Naya (born 20.01.2010)
See, hear or read ya soon ;-)
Cheers
Andy


Welcome, Java Hipster
https://jhipster.github.io
Pascal GRIMAUD
Java EE Consultant
Open Source Developer
@pascalgrimaud
Contact:
What is JHipster ?
Description and some stats
Open Source
+320 contributors
+6600 stargazers
1/2 million installations
More than 150 companies using JHipster
News
https://jhipster.github.io
Twitter:
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Paris JHipster User Group
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2 Corinthians 11:1
Would to God ye could bear with me a little in my folly: and indeed bear with me.


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Since a test case is a pair (valuation, command), to execute a test case we use the Alloy Analyzer to execute the test case's command.
A test case passes if the valuation is a valid instance of the command. Otherwise, the test fails.
It is possible to use this format to test for a wide array of behavior of the model. Consider some of the test cases outlined below.
Remember our Alloy model from the "What is a Test Case?" section:
A passing test:
note: The command of the test case is the negation of the "allObjectsInSet" predicate; therefore, this test case looks for the valuation to not be a possible solution to the predicate "allObjectsInSet".
A failing test:
A passing test exploring the facts:
Remember: The facts of a model are always under test because any instance found over a model must satisfy the facts. Facts can be explicitly declared in "fact" paragraphs or implicitly declared (e.g. multiplicity constraints for signatures and relations). This should be taken into account for all test cases. A test which just invokes a valuation is checking the behavior of the valuation over all facts of the model.
note: The "expect 0" clause means that there should be no solution to the command and is used by the tester to should that she expects the valuation to violate the facts of the model.


bbharvest extracts all patterns of interest found when applying transforms such as XOR, ROL, ADD and various combinations, trying all possible keys. It is especially useful when several keys or several transforms are used in a single file.
bbharvest is part of the Balbuzard tools.
Coming soon:
While bbcrack is great for malware obfuscated with a single transform and a single key, it might not be effective on malware using several transforms and/or several keys to obfuscate different parts or strings in a single file. For example a malware may use a different XOR key for each string. bbcrack may also fail if only specific strings are obfuscated, such as IP addresses.
bbharvest is designed to address these cases, by trying all transforms and all keys, extracting specific patterns of interest that can be found. This way, even if a URL or an IP address is obfuscated with a transform and key used only once, it should be reported by bbharvest.
However, bbharvest may return a lot of false positives. It is therefore necessary to analyze the results manually in order to extract meaningful data.
By default the search is limited to level 1 transforms, for time reasons. You may increase the scope using the options -l or -i.
Usage: bbharvest.py [options] <filename>
Options:
-h, --help show this help message and exit
-l LEVEL, --level=LEVEL
select transforms level 1, 2 or 3
-i INCLEVEL, --inclevel=INCLEVEL
select transforms only with level 1, 2 or 3
(incremental)
-c CSV, --csv=CSV export results to a CSV file
-t TRANSFORM, --transform=TRANSFORM
only check specific transforms (comma separated list,
or "-t list" to display all available transforms)
-z ZIP_PASSWORD, --zip=ZIP_PASSWORD
if the file is a zip archive, open first file from it,
using the provided password (requires Python 2.6+)
-p profiling: measure time spent on each pattern.
Here is an example, using a sample file containing random bytes and several patterns obfuscated with various transforms:
>bbharvest.py sample_multiple_transforms.bin
Opening file sample_multiple_transforms.bin
*** WARNING: harvest mode may return a lot of false positives!
xor_BE: EXE MZ followed by PE at index C29, string='MZ\x90\x00\x03\x00\x00\x00\x
04\x00\x00\x00\xff\xff\x00\x00\xb8\x00\x00\x00\x00\x00\x00\x00@\x00\x00\x00\x00\
x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\
x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xc0\x00\x00\x00\x0e\x1f\xba\x0e\x00\
xb4\t\xcd!\xb8\x01L\xcd!This program cannot be run in DOS mode.\r\r\n$\x00\x00\x
00\x00\x00\x00\x009$7\xdd}EY\x8e}EY\x8e}EY\x8eZ\x83"\x8e~EY\x8e}EX\x8e|EY\x8et=\
xda\x8e|EY\x8et=\xc8\x8e|EY\x8eRich}EY\x8e\x00\x00\x00\x00\x00\x00\x00\x00PE\x00
\x00'
xor_BE: Executable filename at index EBF, string='USER32.dll'
xor_BE: EXE: section name at index DE1, string='.text'
xor_BE: EXE: section name at index E31, string='.data'
xor_BE: EXE: section name at index E09, string='.rdata'
xor84_rol3: Executable filename at index 15B, string='k.Js'
xor88_rol5: IP address at index 400, string='<IP_ADDRESS>'
xorDB_rol2: e-mail address at index 5B9<EMAIL_ADDRESS>rol3_addD6: URL (http/https/ftp) at index 80E, string='http://www.mybotnet.com/cc\x00'
rol3_addD6: Executable filename at index 819, string='mybotnet.com'
In this example it appears that the file contains an embedded executable file obfuscated with XOR 0xBE, an IP address with XOR 88 ROL 5, and a URL with ROL 3 ADD D6.
See also the 5 minutes Demo for another example.
See balbuzard.
Because bbharvest may find a lot of matching strings, often including false positives, it is very useful to write all results to a CSV file. Then it is easier to use a spreadsheet application to filter the results and highlight interesting strings. Example:
bbharvest.py sample.exe -c output.csv
See bbcrack.
See bbcrack above. Transforms and plugins are shared between bbcrack, bbharvest and bbtrans.
For now, I haven't come across tools similar to bbharvest. If you find one, please contact me.


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{% extends "sqrl/sqrl_base.html" %} {% load sqrl %} {% load static %} {% block title %}Log in via SQRL{% endblock %} {% block content %}
Please use via SQRL using the information below.
{% sqrl as sqrl %} {% endblock %} {% block scripts %} {% endblock %} {% comment %} **sqrl/login.html** This is SQRL-only login page. No special variables are passed in the context for the login to work. All necessary data should already be in the context. Please note again that this template is for SQRL-exclusive logins. If you would like to add SQRL login to an existing login page, you should rather adjust that template as it is probably way more involved. {% endcomment %}


- January, 2018
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Milestone #1
Algorithm Alpha version launched.
- March, 2018
-
Milestone #2
Version 2.0, based on feedback of 1000+ users feedback, launched.
- July, 2018
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Milestone #3
Rollout of chat bot API
- November, 2018
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Milestone #4
Automobile recommendation solution launch.


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Apple
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Bird
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Calculator
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Duck
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E
Egg
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Egret


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I was born in Salt Lake City, UT. but we quickly moved to Bend, OR. were I lived until the age of 18.
After highschool I moved to Portland, OR. to attend University of Portland. I was a Communications major with an emphasis on Public Relations and Advertising. I chose this major because I have a hard time putting down my thoughts in writting, and this major required me to practice this skill at length.
After college the economy took a down-turn and I decided it was a great opertunity to follow an interest in glass blowing and see were it would lead. I became the head gaffer at one of the leading glass studios in the country, giving me the oppertunity to not only work with major companies, but some of the largest glass projects on the planet. In the studio I was more involved with production, and during instilation I was more in the role of project manager.


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| GSocketService * | g_socket_service_new () |
| void | g_socket_service_start () |
| void | g_socket_service_stop () |
| gboolean | g_socket_service_is_active () |
A GSocketService is an object that represents a service that is provided to the network or over local sockets. When a new connection is made to the service the “incoming” signal is emitted.
A GSocketService is a subclass of GSocketListener and you need to add the addresses you want to accept connections on with the GSocketListener APIs.
There are two options for implementing a network service based on
GSocketService. The first is to create the service using
g_socket_service_new()
and to connect to the “incoming”
signal. The second is to subclass GSocketService and override the
default signal handler implementation.
In either case, the handler must immediately return, or else it will block additional incoming connections from being serviced. If you are interested in writing connection handlers that contain blocking code then see GThreadedSocketService.
The socket service runs on the main loop of the thread-default context of the thread it is created in, and is not threadsafe in general. However, the calls to start and stop the service are thread-safe so these can be used from threads that handle incoming clients.
GSocketService *
g_socket_service_new (void
);
Creates a new GSocketService with no sockets to listen for.
New listeners can be added with e.g. g_socket_listener_add_address()
or g_socket_listener_add_inet_port()
.
Since 2.22
void
g_socket_service_start (GSocketService *service
);
Starts the service, i.e. start accepting connections from the added sockets when the mainloop runs.
This call is thread-safe, so it may be called from a thread handling an incoming client request.
Since 2.22
void
g_socket_service_stop (GSocketService *service
);
Stops the service, i.e. stops accepting connections from the added sockets when the mainloop runs.
This call is thread-safe, so it may be called from a thread handling an incoming client request.
Note that this only stops accepting new connections; it does not
close the listening sockets, and you can call
g_socket_service_start()
again later to begin listening again. To
close the listening sockets, call g_socket_listener_close()
. (This
will happen automatically when the GSocketService is finalized.)
Since 2.22
gboolean
g_socket_service_is_active (GSocketService *service
);
Check whether the service is active or not. An active service will accept new clients that connect, while a non-active service will let connecting clients queue up until the service is started.
Since 2.22
“incoming”
signalgboolean user_function (GSocketService *service, GSocketConnection *connection, GObject *source_object, gpointer user_data)
The ::incoming signal is emitted when a new incoming connection
to service
needs to be handled. The handler must initiate the
handling of connection
, but may not block; in essence,
asynchronous operations must be used.
connection
will be unreffed once the signal handler returns,
so you need to ref it yourself if you are planning to use it.
service |
the GSocketService |
|
connection |
a new GSocketConnection object |
|
source_object |
the source_object passed to
|
[allow-none] |
user_data |
user data set when the signal handler was connected. |
Flags: Run Last
Since 2.22


I told you not to bring your bear to the next event, yet there it was! I don't think anyone saw that coming. I think this is the first time anyone has ever brought a trained bear to a club! People will be talking about this for a loooong time.  We'll just write it up as a company expense.
I hope you will keep showing up for the social events, but don't feel obligated to do something big every time. The important thing is that we get to know each other!
Oh, and you really shouldn't bring the bear to the next event. I'm serious this time. It's fun the first few times, but I think it's going to become inconvenient in the long term :).
There are no more social events this week, but you'll have more opportunities for fun soon enough. Make sure you prioritize them :).
Benedetto Tornincasa
Human Relations
Senior Consultant / Haka Leader


Airmen Certification Standards for Private Pilot Glider
Areas of Operation:
- Preflight Preparation
- Certificates and Documents
- Weather Information
- Operation of Systems
- Performance and Limitations
- Aeromedical Factors
- Preflight rocedures
- Assemby
- Ground Handling
- Preflight Inspection
- Cockpit Management
- Visual Signals
- Airport and Gliderport Operations
- Radio Communications
- Traffic Patterns
- Airport, Runway, and Taxiway Signs, Markings, and Lighting
- Launches and Landings Aero Tow
- General
- Before Takeoff Check
- Normal and Crosswind Takeoff
- Maintaining Tow Positions
- Slack Line
- Boxing the Wake
- Tow Release
- Abnormal Occurrences
- Ground Tow (auto or winch)
- Before Takeoff Check
- Normal and Crosswind Takeoff
- Abnormal Occurrences
- Self-Launch
- Engine Starting
- Taxiing
- Before Takeoff Check
- Normal and Crosswind Takeoff and Climb
- Engine Shutdown In Flight
- abnormal occurrences
- Landings
- Normal and Crosswind Landing
- Slip to Landing
- Downwind Landing
- Performance Airspeeds
- Minimum Sink Airspeed
- Speed-To-Fly
- Soaring Techniques
- thermal soaring
- Ridge and Slope Soaring
- Wave Soaring
- Performance Maneuvers
- Straight Glides
- Turns to Headings
- Steep Turns
- Navigation
- Flight Preparation and Planning
- National Airspace System
- Slow Flight and Stalls
- Maneuvering at Minimum Control Airspeed
- Stall Recognition and Recovery
- Emergency operations
- Simulated Off-Airport Landing
- Emergency Equipment and Survival Gear
- Postflight Procedures
- After-Landing and Securing


Preheat oven to 400 degrees F.
Spray mini muffin tins with cooking spray.
Cook pasta according to packaged directions and set aside.
In a medium size pan combine butter and flour over medium heat. Whisk until butter is melted and mixture is smooth. Slowly add milk and bring to a simmer. Add 1½ cups of the cheese, cream cheese, salt and pepper. Stir until smooth and creamy. Remove from heat.
In a large mixing bowl, carefully stir pasta, cheese sauce, and egg until evenly mixed and pasta is evenly coated.
Spoon mac and cheese into mini muffin tins and top each with a small pinch of remaining cheese. Bake at 400 degrees F for 15 minutes or until golden brown.
Allow to cool 5 minutes before gently removing the bites.


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|
jE /dʒeɪ iː/
|
Formulas for classical synchrotron radiation. More...
Functions | |
| double | r (double gamma_e) |
| double | omega_c (double gamma_e) |
| double | jackson1483 (double b, double gamma_e, double theta, double omega) |
| double | synchrotron_emission_probability (double b, double gamma_e, bool p, double theta, double omega) |
| double | jackson1483_num (double b, double gamma_e, double theta, double omega) |
Formulas for classical synchrotron radiation.
If the electron trajectory is bended wider than the angle of , the photon emission occurs in the synchrotron regime. To describe this, the same normalization as in Radiation module is used here, and it is assumed that the electron trajectory is a circle which in the normalized units is
with the curvature radius and the electron Lorentz factor.
| double r | ( | double | gamma_e | ) |
The normalized curvature radius of the electron trajectory
| gamma_e | the electron Lorentz factor |
| double omega_c | ( | double | gamma_e | ) |
The normalized critical frequency of the classical synchrotron emission, see Eq. (14.85) from [Jackson J.D., Classical Electrodynamics, Wiley, 1962].
| gamma_e | the electron Lorentz factor |
| double jackson1483 | ( | double | b, |
| double | gamma_e, | ||
| double | theta, | ||
| double | omega | ||
| ) |
The (normalized) energy radiated in unit frequency interval per unit solid angle, as defined in Eq. (14.83) from [Jackson J.D., Classical Electrodynamics, Wiley, 1962].
| b | the normalized magnetic field strength |
| gamma_e | the electron Lorentz factor |
| theta | angle in the plane perpendicular to the normal vector of the trajectory; theta = 0 is the direction of the tangent to the trajectory |
| omega | > 0, normalized frequency of the emitted photon |
| double synchrotron_emission_probability | ( | double | b, |
| double | gamma_e, | ||
| bool | p, | ||
| double | theta, | ||
| double | omega | ||
| ) |
Probability of the photon emission in classical synchrotron process, computed numerically with c_m. The integration parameters (timestep etc.) are set to yield the spectrum jackson1483_num whose relative difference from the theoretical one is less than 1% up to frequences/angles where photon emission is negligibly small.
| b | the magnetic field strength normalized to the Sauter-Schwinger field |
| gamma_e | the electron Lorentz factor |
| p | the polarization of the emitted wave: p = true means polarization parallel to the normal vector of the trajectory, and p = false means polarization in the plane perpendicular to the normal vector |
| theta | angle in the plane perpendicular to the normal vector of the trajectory; theta = 0 is the direction of the tangent to the trajectory |
| omega | > 0, normalized frequency of the emitted photon |
| double jackson1483_num | ( | double | b, |
| double | gamma_e, | ||
| double | theta, | ||
| double | omega | ||
| ) |
The (normalized) energy radiated per unit frequency interval per unit solid angle, computed numerically from synchrotron_emission_probability.
An ultrarelativistic particle emit photons in a narrow cone around the direction of the particle velocity. Thus the energy radiated in a certain direction can be readily computed from the energy of the modes of the superconductive virtual box (see c_m). The density of the modes which has a plane-wave component in some certain unit solid angle and unit frequency interval can be easily found from the boundary conditions, that gives
with one of two polarization directions. This formula is used here in the computations. Note that it coincides with Eq. (14.78) from [Jackson J.D., Classical Electrodynamics, Wiley, 1962].
| b | the normalized magnetic field strength |
| gamma_e | the electron Lorentz factor |
| theta | angle in the plane perpendicular to the normal vector of the trajectory; theta = 0 is the direction of the tangent to the trajectory |
| omega | > 0, normalized frequency of the emitted photon |