| Interface | Description |
|---|---|
| SaslClient |
Performs SASL authentication as a client.
|
| SaslClientFactory |
An interface for creating instances of SaslClient.
|
| SaslServer |
Performs SASL authentication as a server.
|
| SaslServerFactory |
An interface for creating instances of SaslServer.
|
| Class | Description |
|---|---|
| AuthorizeCallback |
This callback is used by SaslServer to determine whether
one entity (identified by an authenticated authentication id)
can act on
behalf of another entity (identified by an authorization id).
|
| RealmCallback |
This callback is used by SaslClient and SaslServer
to retrieve realm information.
|
| RealmChoiceCallback |
This callback is used by SaslClient and SaslServer
to obtain a realm given a list of realm choices.
|
| Sasl |
A static class for creating SASL clients and servers.
|
| Exception | Description |
|---|---|
| AuthenticationException |
This exception is thrown by a SASL mechanism implementation
to indicate that the SASL
exchange has failed due to reasons related to authentication, such as
an invalid identity, passphrase, or key.
|
| SaslException |
This class represents an error that has occurred when using SASL.
|
Simple Authentication and Security Layer (SASL) specifies a challenge-response protocol in which data is exchanged between the client and the server for the purposes of authentication and (optional) establishment of a security layer on which to carry on subsequent communications. It is used with connection-based protocols such as LDAPv3 or IMAPv4. SASL is described in RFC 2222.
There are various mechanisms defined for SASL. Each mechanism defines the data that must be exchanged between the client and server in order for the authentication to succeed. This data exchange required for a particular mechanism is referred to to as its protocol profile. The following are some examples of mechanims that have been defined by the Internet standards community.
Some of these mechanisms provide both authentication and establishment of a security layer, others only authentication. Anonymous and S/Key do not provide for any security layers. GSSAPI and DIGEST-MD5 allow negotiation of the security layer. For External, the security layer is determined by the external protocol.
Users of this API are typically developers who produce client library implementations for connection-based protocols, such as LDAPv3 and IMAPv4, and developers who write servers (such as LDAP servers and IMAP servers). Developers who write client libraries use the SaslClient and SaslClientFactory interfaces. Developers who write servers use the SaslServer and SaslServerFactory interfaces.
Among these two groups of users, each can be further divided into two groups: those who produce the SASL mechanisms and those who use the SASL mechanisms. The producers of SASL mechanisms need to provide implementations for these interfaces, while users of the SASL mechanisms use the APIs in this package to access those implementations.
Submit a bug or feature
For further API reference and developer documentation, see Java SE Documentation. That documentation contains more detailed, developer-targeted descriptions, with conceptual overviews, definitions of terms, workarounds, and working code examples.
Copyright © 1993, 2015, Oracle and/or its affiliates. All rights reserved.


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areTargetsMarked = False
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targets The list of target coordinates (x1, y1, x2, y2) |
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targetViews The list of target Views |
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Takes the current screenshot and shows it on the main window. It also:
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Touches a point in the device screen. The generated operation will use the units specified in L{coordinatesUnit} and the orientation in L{vc.display['orientation']}. |
Long-touches a point in the device screen. The generated operation will use the units specified in L{coordinatesUnit} and the orientation in L{vc.display['orientation']}. |
Presses a key. Generates the actual key press on the device and prints the line in the script. |
Saves the current shanpshot to the specified file. Current snapshot is the image being displayed on the main window. |
Toggles the touch point operation using Unit.DIP. This invokes toggleTouchPoint. |
Toggles the long touch View operation. :return: |
Toggles the touch point operation using the units specified in When there are Views (obtained from the back-end) we have to determine if the intention when something is touched on the window if we want to touch the View or the point. If there's no back-end, we don't allow self.isTouchingPoint to be disabled so we will never be attempting to touch Views. |
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osNameThe OS name. We sometimes need specific behavior.
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Progress semi circle is a simple component widely used to inform metrics about a given. You can create it either by the HTML element or programmed via javascript.
progressbarjs
.
The dependencies will be installed together with this module
To use this component you need install with the command:
mobileui install progress-semicircle
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value |
Initial value for component |
title |
Title for component |
subTitle |
Subtitle for component |
text |
Info of the value, example: 65%, the simbol (%) is the text |
color |
Color of external line |
textColor |
Color of text. Use name theme colors |
textWeight |
Weight of text (bold, 300, normal, 800, etc) |
titleWeight |
Weight of title (bold, 300, normal, 800, etc) |
subTitleWeight |
Weight of subtitle (bold, 300, normal, 800, etc) |
titleColor |
Color of title. Use name theme colors |
subTitleColor |
Color of subtitle. Use name theme colors |
width |
Size canvas size area |
height |
Size canvas size area |
trailColor |
Color of trail line. Use name theme colors |
strokeWidth |
Size stroke line. |
trailWidth |
Size stroke line. |
textSize |
Size font text. Example textSize="25px" |
textMargin |
Size margin text. Example textMargin="100px" |
titleSize |
Size font text. Example textSize="25px" |
subTitleSize |
Size font text. Example textSize="25px" |
fill |
... |
padding |
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durationAnimate |
... |


Story
How I got here
Work
What I've done
Services
What I do
Resources
What I've found
Contact
Get at me


{{ getMessage() }}
If you give a method and a data property the same name, Vue can't handle it.
You can't use {{}} inside of html attributes like so:
<a href="{{ theLink }}">
instead use
<a v-bind:href="theLink">
or the shorthand for v-bind like so:
<a :href="theLink">


BusMall wants to know what you love! Below are some possible new products that are about to hit the market. And we want you to tell us what you think will be the next big thing!
Simply click the product that you think would be awesomest. You may see the same image multiple times--and that's great, we want to see how your favorites stack up against your other favorites! Happy picking!


A spectacular, lush island west of Santago. The fertile soil, particularly inside the crater, allows for the production of wine.
Position 14°55'25"N, 24°30'14"W (port N of Sao Filipe)
Reported o.k. to visit here, even after checking out at Praia.
On the west coast of the island there is now a small port, north of Sao Filipe, where it might be possible to berth or anchor.
There is also an anchorage south of the port in 4m of water, over sand, but the holding is not too good and it is wise to leave someone on board when going ashore.
Last updated March 2016.


Hello World
Welcome to my portfolio!
All of featured projects below are mock images to test out designing this page!
This website is responsive and my first project for the Udacity's Front-End Nanodegree. I hope you like it!
Welcome to my portfolio!
All of featured projects below are mock images to test out designing this page!
This website is responsive and my first project for the Udacity's Front-End Nanodegree. I hope you like it!


--- title: Presentation to the Fermi Collaboration keywords: fastai sidebar: home_sidebar summary: "Prepared for presentation to the Fermi-LAT Autumn 2011 collaboration meeting, to follow a time-based weighted likelihood presentation by M. Kerr." description: "Prepared for presentation to the Fermi-LAT Autumn 2011 collaboration meeting, to follow a time-based weighted likelihood presentation by M. Kerr." nb_path: "nbs/99_presentation.ipynb" ---
The wtlike
package applies the
Kerr weighted likelihood to Fermi photon data. It is available on PyPI and github, is purely in python with no dependency on Fermi-LAT code.
I'd like to express appreciation to Kent Wood, for being a tester and providing many useful suggestions.
Within 10 min, one can generate the full light curve for any source on any time scale, optionaly performing a Bayesian Block analysis.
Thus, as shown here, one can:
Other Potential applications
I now demonstrate how to reproduce and extend any source in the Light Curve Repository (LCR)
def lcr_about():
"""
## The Light Curve Repository "about" example
I'll use this strong, active source as an example for a simple comparison.
Here is the 4FGL source 4FGL J0237.8+2848 (associated with 4C 28.07), as shown on the [LCR "about" page](https://fermi.gsfc.nasa.gov/ssc/data/access/lat/LightCurveRepository/about.html)
{img}
This shows 3-day bins through Sep 28 2020.
"""
img=image('LCR_about_fig2.png', caption=None, width=600)
return locals()
nbdoc(lcr_about)
def lcr_about_example(fig_width=600):
"""
## The same source with wtlike

wtlike version {__version__}
{date}

### The result
{fig1}
What did that take?
#### Set up the source ...
The only code, perhaps in a Jupyterlab cell, needed to set up the source for plots is:
```
from wtlike import *
wtl = WtLike('4FGL J0237.8+2848', time_bins=(0,0,3))
```

{print1}
This creates an instance, `wtl`, of the class `WtLike`, specifying a source name, with 3-day (default is 7) time bins for the full data set.
The name can be that of any source known to `astropy` which is closer than $0.1^\circ$ to a 4FGL-DR3 or uw1216 source.
Thus specifying instead the associated 4C 28.07 would have worked.
#### ... and make the plot
Then, instructing the object to plot itself with the statement
```
wtl.plot()
```
generates the light curve plot shown above.
### Apply Bayesian blocks
To partion the 3-day intervals, or cells, using Bayesian Blocks use another function member of the class `WtLike`. The
statements
```
bb = wtl.bb_view()
bb.plot()
```
<br<
define a new *instance* of `WtLike`, using the current 3-day likelihood fits.
This instance has a different `plot()`, which makes an overlay showing the BB partitions, each with a new fit.
{print2}
{fig2}
### Check that recent flare
The flaring behavior at the end of the interval prompts exploration. We use the `view()` function to return another
copy of the original `wtl`, but with different binning, and ask it to make a plot of the last 30 days, via
```
recent = wtl.view(-30,0,1)
recent.plot()
```

{print3}
{fig3}
"""
from wtlike import __version__
with capture('Source setup output: Load data, create and fit bins', open=False) as print1:
with Timer() as t:
wtl = WtLike('4FGL J0237.8+2848', time_bins=(0,0,3), clear=clear)
print(t)
fig1 = figure(
wtl.plot(UTC=True,figsize=(15,4), fignum=1),
width=fig_width)
with capture('Bayesian block analysis output', ) as print2:
with Timer() as t:
bb = wtl.bb_view()
print(t)
fig2= figure(bb.plot(UTC=True,figsize=(15,4), fignum=2), width=fig_width);
with capture('Rebinning output') as print3:
recent = wtl.view(-30,0,1)
fig3=figure(recent.plot(tzero=round(wtl.stop), fignum=3), width=fig_width)
print(' ') # seems needed to get nbdev to generate the doc?
return locals()
nbdoc(lcr_about_example)
def show_dataflow():
"""
### How does it work?
#### Data flow diagram
{img}
"""
img = image('wtlike_dataflow.png', width=600, caption=None)
return locals()
nbdoc(show_dataflow)
There are some important features
Weights assigned via a table
Allows sepation of the procesees that evaluates the weight from assignment to an individual photon.
Photons and livetime info for any direction are taken from a compact version of the full FT1/FT2 set of files.
This makes the system very portable, with <3GB needed, with no need for the full fermipy
package, and much faster to start a source, and especially to generate a new binning.
Using a Poisson-like representation of the likelihood.
It turns out that any likelihood evaluated with the Kerr formula, involving a lot of computation, can be safely approximated with a 3-parameter scaled Poisson function.
Thus the fits to individual cells are represented by the likelihood function, not just a limit or a
value/uncertainty pair--these easily derived from the three parameters!
Exposure is calculated based on the energy and event type, rather than assuming a power-law.
For count flux measurements, which are dominated by the lowest energies, this does not matter much, but it allows measurement of energy dependence, a future enhancement.
wtlike
is designed for, (but does not require) Jupyterlab notebooks, that is, to enhance interactivity. As this presentation
shows, a basic light curve, can be done with a single line of code:
WtLike('4C 28.07').plot()
If the source in
question is already in the cache managed by wtlike, this requires <10s, otherwise ~10 min. Creating different views, with restricted time ranges or intervals, is simply done with the view()
member function. Running a Bayesian Block analysis is performed with the function bb_view()
.
Kent finds, using autocorrelation, a significant precession period (~52 day) signal in some parts of the sky, especially the GC. This needs to be understood and corrected immediately. It does not seem to affect Geminga, with only a 4% systematic resolution degradation, or any of the pulsars that I have studied, however.
The weights tables should be similar, but gtlike is the collaboration standard.
The weighted likelihood provides relative count flux values vs. time, relative to the average flux for the full time interval. However, the weights were determined by the 12-year DR3 dataset.
As pointed out in the LCR "about" page, there are "15 other variable sources within a 12 deg radius". But in the case shown, the nearest variable source is $4.8^\circ $ away. A weak pulsar $4^\circ$ distant shows no effect. Actually, another source has to be within a few degrees to have an impact. The Kerr scheme assumes that the background is constant, at most allowing for an overall rescaling which would not describe the effect of a nearby source.
However, given the position-dependent weight tables for both sources, each initally determined assuming the other is constant, allows a straight-forward modification for overlapping pixels. The dominant case, that only one is varying at a time is easy. This a future project.
Could be locally masked out.
The 3 GB that are needed (which compress to a 2 GB zip file) need to have a publicly available place for distribution. Fermi collaboarators who have a SLAC account could access them via scp (they are at /afs/slac/g/glast/users/burnett/wtlike_data), but I want a public repository, ideally with a cron job to perform daily updates of the photon data.
There is only one (octogenarian) developer!
All the code is in github/tburnett/wtlike, somewhat documented using the nbdev system.


Troubleshooting¶
Error getting the Enrichr libraries¶
Error like that:
Traceback (most recent call last):
File "./run.py", line 18, in <module>
sctri.lazy_run(scale_sccaf=False)
File "/data/salomonis2/LabFiles/Frank-Li/scTriangulate/pbmc3k_test/sctriangulate/main_class.py", line 383, in lazy_run
self.compute_metrics(parallel=compute_metrics_parallel,scale_sccaf=scale_sccaf)
File "/data/salomonis2/LabFiles/Frank-Li/scTriangulate/pbmc3k_test/sctriangulate/main_class.py", line 704, in compute_metrics
collect = collect.get()
File "/data/salomonis2/LabFiles/Frank-Li/citeseq/scanpy_new_env/lib/python3.6/multiprocessing/pool.py", line 644, in get
raise self._value
Exception: Error getting the Enrichr libraries
The reason is, the GESAPY package, which performs gene enrichment analysis automatically in the scTriangulate program, needs internet connection. So if you are using Linux high-performance compute environment, please make sure the program can have access to Enrichr database. This restriction maybe resolved in the future version.
Job killed because reaching the maximum RAM¶
The reason is, by default scTriangulate will utilize python standard library multiprocessing to automatically employ multiple cores for faster
computation, however, it comes at the cost of memory footprint. In the cases of very large dataset (100k cells or 100k features) with more than 5
annotation-sets, it may reach the maximum RAM that you allocate. If that happen, just simply change the argument compute_metrics_parallel=False
:
sctri.lazy_run(compute_metrics_parallel=False)


WELL, there was once a very rich gentleman, and he had three daughters, and he thought he'd see how fond they were of him. So he says to the first, 'How much do you love me, my dear?'
'Why,' says she, 'as I love my life.'
'That's good,' says he.
So he says to the second, 'How much do you love me, my dear?'
'Why,' says she, 'better nor all the world.'
'That's good,' says he.
So he says to the third, 'How much do you love me, my dear?'
'Why, I love you as fresh meat loves salt,' says she.
Well, but he was angry. 'You don't love me at all,' says he, 'and in my house you stay no more.'
Well, she went away on and on till she came to a fen, and there she gathered a lot of rushes and made them into a kind of a sort of a cloak with a hood, to cover her from head to foot, and to hide her fine clothes. And then she went on and on till she came to a great house.
'Do you want a maid?' says she.
'No, we don't,' said they.
'I haven't nowhere to go,' says she; 'and I ask no wages, and do any sort of work,' says she.
'Well,' said they, 'if you like to wash the pots and scrape the saucepans you may stay,' said they.
So she stayed there and washed the pots and scraped the saucepans and did all the dirty work. And because she gave no name they called her 'Cap o' Rushes'.
Well, one day there was to be a great dance a little way off, and the servants were allowed to go and look on at the grand people. Cap o' Rushes said she was too tired to go, so she stayed at home.
But when they were gone, she offed with her cap o' rushes and cleaned herself, and went to the dance. And no one there was so finely dressed as she.
Well, who should be there but her master's son, and what should he do but fall in love with her the minute he set eyes on her. He wouldn't dance with anyone else.
But before the dance was done, Cap o' Rushes slipt off, and away she went home. And when the other maids came back, she was pretending to be asleep with her cap o' rushes on.
Well, next morning they said to her, 'You did miss a sight, Cap o' Rushes!'
'What was' that?' says she.
 The young master, he never took his eyes off her.'
'Well, I should have liked to have seen her,' says Cap o' Rushes.
'Well, there's to be another dance this evening, and perhaps she'll be there.'
But, come the evening, Cap o' Rushes said she was too tired to go with them. Howsoever, when they were gone, she offed with her cap o' rushes and cleaned herself, and away she went to the dance.
The master's son had been reckoning on seeing her, and he danced with no one else, and never took his eyes off her. But, before the dance was over, she slipt off, and home she went, and when the maids came back she pretended to be asleep with her cap o' rushes on.
Next day they said to her again, 'Well, Cap o' Rushes, you should ha' been there to see the lady.
Well, come this evening, Cap o' Rushes said she was too tired to go, and do what they would she stayed at home. But when they were gone, she offed her cap o' rushes and cleaned herself, and away she went to the dance.
The master's son was rarely glad when he saw her. He danced with none but her and never took his eyes off her. When she wouldn't tell him her name, nor where she came from, he gave her a ring and told her if he didn't see her again he should die.
Well, before the dance was over, off she slipped, and home she went, and when the maids came home she was pretending to be asleep with her cap o' rushes on.
Well, next day they says to her, 'There, Cap o' Rushes, you didn't come last night, and now you won't see the lady, for there's no more dances.'
'Well, I should have rarely liked to have seen her,' says she.
The master's son tried every way to find out where the lady was gone, but go where he might, and ask whom he might he never heard anything about her. And he got worse and worse for the love of her till 'he had to keep his bed.
'Make some gruel for the young master,' they said to the cook. 'He's dying for the love of the lady.' The cook set about making it when Cap o' Rushes came in.
'What are you a-doing of?' says she.
'I'm going to make some gruel for the young master,' says the cook, 'for he's dying for love of the lady.'
'Let me make it,' says Cap o' Rushes.
Well, the cook wouldn't at first, but at last she said yes, and Cap o' Rushes made the gruel. And when she had made it, she slipped the ring into it on the sly before the cook took it upstairs.
The young man he drank it and then he saw the ring at the bottom.
'Send for the cook,' says he. So up she comes.
'Who made this gruel here?' says he.
'I did,' says the cook, for she was frightened.
And he looked at her.
'No, you didn't,' says he. 'Say who did it, and you shan't be harmed.'
'Well, then, 'twas Cap o' Rushes,' says she.
'Send Cap o' Rushes here,' says he.
So Cap o' Rushes came.
'Did you make my gruel?' says he.
'Yes, I did,' says she.
'Where did you get this ring?' says he.
'From him that gave it me,' says she.
'Who are you, then?' says the young man.
'I'll show you,' says she. And she offed with her cap o' rushes, and there she was in her beautiful clothes.
Well, the master's son he got well very soon, and they were to be married in a little time. It was to be a very grand wedding, and everyone was asked far and near. And Cap o' Rushes's father was asked. But she never told anybody who she was.
But before the wedding, she went to the cook, and says she:
'I want you to dress every dish without a mite o' salt.'
'That' ll be rare nasty,' says the cook.
'That doesn't signify,' says she.
'Very well,' says the cook.
Well, the wedding day came, and they were married. And after they were married, all the company sat down to the dinner. When they began to eat the meat, it was so tasteless they couldn't eat it. But Cap o' Rushes's father tried first one dish and then another, and then he burst out crying.
'What is the matter?' said the master's son to him.
'Oh!' says he, 'I had a daughter. And I asked her how much she loved me. And she said. "As much as fresh meat loves salt." And I turned her from my door, for I thought she didn't love me. And now I see she loved me best of all. And she may be dead for aught I know.'
'No, father, here she is!' said Cap o' Rushes. And she goes up to him and puts her arms round him.
And so they were all happy ever after.


Find The Top 10 Friendly
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you will see this message when isShowMsg is true.
you will see this message when myValues array's length > 0.


Hello, my name is Redeite Moges! I am a recent graduate student at the University of Washington, where I pursued a master's degree in Information Management (MSIM) with a focus on User Experience Design and Research. I graduated with my bachelor’s degree in June 2020 from the School of Social Work. My goal is to use UX research and human-centered design to merge my passion for social work and technology to make products and services more accessible to marginalized and underrepresented communities. In my spare time, I enjoy going for walks by the lake, watching K-dramas, and spending quality time with my family and friends.
Coming from a social work background, empathy and compassion are at the core of my discipline. With this mindset, I strive to work with my clients rather than work for them. By cultivating empathy, I am able to build customer-centric and user-friendly products and services. To understand my users, I have created 3 interview protocols and conducted user research across 3 teams this year alone.
One of the most critical aspects of UX design and research is collaboration. I consider my ability to work efficiently with others through open communication and attentive listening to be a valuable skill I have gained from my current and previous work with teams. I have worked with over 8 cross-functional teams this year alone in my graduate program and delivered over 6 products.
I am passionate about producing work that is both functional and high quality, I love designing and researching, and I pay close attention to my craft. Design thinking, user testing, and agile thinking, in my opinion, are essential components for producing high-quality work. One of my UX design project, obtained a 100 percent higher user preference than its previous PDF format.


Posted on Oct 1, 2019 at 12:00 PM
If you are a creative professional looking for some inspiration or love art and design and would like to keep up with current trends, there are lots of art blogs that might help spark an idea and inspire you.
We have put together a list of our favorite art blogs that you must follow in the coming year to jumpstart your creativity. This list covers art blogs written by artists, art critics, art lovers, or simply people who appreciate art and like to share their views.
Hi-Fructose was founded by two artists by the name of Attaboy and Annie Owen in the year 2005. It is a magazine that is published quarterly. The art blog part is headed by Andy Smith. Hi-Fructose revolves around contemporary art and showcases the best artists of recent times. There is no fixed genre that it emphasizes. Each post highlights the works of a different artist, focusing on one notable work. A typical Hi-Fructose post also describes how the artist came up with the idea and the process behind the creation of the work. The post contains information about the artist and his/her quotes. Hi-Fructose appreciates and celebrates original artwork and inspires new artists to come up with better works. The blog is full of talented contributors and readers can expect as many as four posts every day!


The Data Filter Pane UI control allows the user to select which columns to display as well as the order in which they are displayed. The user may also filter on specific column values; both categorical and numeric. The column filter can be used in combination with any dex.js chart. The examples on this page are but a few.
Items in the left side column are actively selected. Items on the right column are unselected, but available items. Items may be reordered by dragging selected items into the desired position.
Specific categories may be selected or filtered via the Categorical Filters dropdown. Lastly, numerical values may be filtered via the sliders.


Operating Systems Course, Winter 2005/2006Prof. Kirsch, Department of Computer Sciences, University of SalzburgTime, Location: Tue 10-12, Th 3-4 in T02, Techno-Z. First lecture on Tue, Oct 4, 10-12. Brief Overview: This course provides an introduction to operating system concepts: processes and threads, deadlocks, memory management, input/output, file systems, and multiple processor systems. The course follows in part the textbook on modern operating systems by A. Tanenbaum. The goal of the course is to have students understand and appreciate principled engineering of operating systems through a focus on fundamental rather than advanced concepts in class in combination with creative freedom in class projects. Teams of 2-3 students will be asked to design and implement (in user space) their own operating system in a programming language of their choice. The operating system must at least include some form of concurrency support, memory management, device abstraction, and file handling. Goal of the course: Learn, through hands-on operating system design and implementation, how concurrency support, memory management, device abstraction, and file handling works. Assignments:
Required Textbook:
Grading: in-person project presentation (necessary for Vorlesungsschein), project source code and executable (necessary for Proseminarschein). Prerequisites: programming experience, basic knowledge of operating system concepts.
Technical contact: Harald . Roeck @ cs . uni-salzburg . at |


This is an tcl-animation star. A tcl-script is read in and data containing positions of mobile stations, information about connections to the base stations as well as information about existing interferences come to this star from CIR. Each time anything happens in the network the animation will depict it. All mobile stations are shown at their position, all connections are denoted by yellow arrows. Orange arrows show interferences which are caused by other mobile stations, while red arrows show interferences which are caused by transmissions from other base stations. All interferences are measured in the uplink, so the receiving station is always the base station. This animation can be used for debugging and demonstration reasons. The most interesting and generic part of this star might be the code which I use to read in data from a specific input instead of an input in a MultiPortHole as it is in the TclScript-star in the Ptolemy-library.
Derived from: DEStar
Location: The WiNeS Library
Version: 1.3 "06/24/97"
Author: J. Voigt
| New_ | Complex | a new handy's position |
| Delete_ | int | a dieing handy's reference number |
| strength | int | an interference' strength |
| Interferenz | Complex | interfering handy's numbers |
| strength_bs | int | an interference' strength |
| Interferenz_bs | Complex | interfering handy's numbers |
| tcl_file | StringState | The file from which to read the Tcl script | "$PTOLEMY/src/domains/de/contrib/stars/test.tcl" |
| Segments | IntState | 0 = omnidiectional antennas | "segments" |
Copyright (c) 1997 Dresden University of Technology, Mobile Communications Systems


We are currently investigating experimental approaches to reduce anxiety. The experimental approaches used in the study are based on models of anxiety, which have shown that anxious people tend to interpret ambiguous situations as threatening. It has been proposed that the tendency to interpret things in a threatening way plays a role in the onset of, and recovery from, anxiety problems.
In the current study, we are evaluating if it is possible to change interpretation patterns over the Internet, and whether changing these interpretation patterns will reduce anxiety symptoms. We are also testing whether we can identify people at risk of dropping out of the study and provide them a personal coach to encourage them to stay in the study. Finally, we are examining whether participants obtain different results by completing the intervention on their mobile phone, tablet, or personal computer.
Depending on your condition, you may have been asked to read and imagine yourself in a series of brief stories. In this active condition, the last word (or word fragment) gave almost all of the brief stories a positive meaning. We expect this will encourage a more flexible and less negative thinking style. In an alternative condition, which we do not expect to be as effective as the active condition, you simply read about characteristics of anxiety.
For some participants, if your early activity on the site suggested you might be at risk of dropping out of the study, you may have been connected with a personal coach to support your participation in the study. We expect that participants who had the opportunity to work with a coach will have better outcomes than participants at risk for dropping out who did not work with a coach.
In the current study, we are evaluating if it is possible to change interpretation patterns over the Internet, and whether changing these interpretation patterns will reduce anxiety symptoms. Additionally, we are examining whether participants obtain different results by completing the intervention on their mobile phone, tablet, or personal computer.
Depending on your condition, you may have been asked to read and imagine yourself in a series of brief stories. In this active condition, the last word (or word fragment) gave almost all of the brief stories a positive meaning. We expect this will encourage a more flexible and less negative thinking style. In an alternative condition, which we do not expect to be as effective as the active condition, you simply read about characteristics of anxiety.
In the active condition, we are also testing four conditions of the training program to see which one is most effective. Depending on the assigned condition, you may also have been asked to complete an additional task, such as writing your own brief story or reading educational information about anxiety problems and their treatment. In the training stories, the last word (or word fragment) gave almost all of the brief stories a positive meaning. We expect this will encourage a more flexible and less negative thinking style.
If you are interested in learning more about modifying thinking patterns, see the following websites:
To obtain more information about the study, ask questions about the research procedures, express concerns about your participation, or report illness, injury or other problems, please contact:
Tonya Moon, Chair, Institutional Review Board for the Social and Behavioral Sciences, One Morton Dr. Suite 500, University of Virginia, P.O. Box 800392, Charlottesville, VA 22908-0392. Telephone:<PHONE_NUMBER>; Email<EMAIL_ADDRESS>Website: www.virginia.edu/vprgs/irb.
You can also contact the Principal Investigator and the MindTrails team with any questions about this study:
Prof. Bethany Teachman, Department of Psychology, Millmont Building, 1023 Millmont St, University of Virginia, Charlottesville, VA 22903. Telephone:<PHONE_NUMBER>; Email<EMAIL_ADDRESS>For those seeking additional mental health help or advice:
To provide your valuable feedback, please click on Exit Survey button below:
Thank you again for your participation.


A Server Node can be added in a cluster any time. After adding a server node in a cluster, you are supposed to start the node so that it can join the cluster. To add a node to a cluster, right click on cluster in the 'NCache Management' tree and select 'Add Server Node' from the context menu.
In either case, a wizard will appear with the list of available nodes. Select a node from the list and click 'Finish'.
The new node will become part of the cluster with the same configurations as of the cluster. A warning message will be shown in case of a port conflict.
Create New Cluster | Add Existing Cluster | Refresh a Cluster | Start a Cluster | Stop a Cluster | View Cluster Statistics | Clear Contents | Remove a Cluster | Apply Configuration


Id = 181
Nombre Personajen = Jessica's Friend
Status = Alive
Specie = Human
Origen = Earth (C-137)
Tipo =
Locacion = Earth (Replacement Dimension)
Id Locacion = ['20']
Episodio = ['https://rickandmortyapi.com/api/episode/1', 'https://rickandmortyapi.com/api/episode/4', 'https://rickandmortyapi.com/api/episode/6', 'https://rickandmortyapi.com/api/episode/11', 'https://rickandmortyapi.com/api/episode/17', 'https://rickandmortyapi.com/api/episode/18', 'https://rickandmortyapi.com/api/episode/25', 'https://rickandmortyapi.com/api/episode/27']
Id Episodio = ['1', '4', '6', '11', '17', '18', '25', '27']
URL Personaje = https://rickandmortyapi.com/api/character/181


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Active Scan Rules - alpha
The following alpha quality active scan rules are included in this add-on:
Apache Range Header DoS (CVE-2011-3192)
Tests to see if the server is vulnerable to the Apache Range Header Denial of Service issue, by requesting eleven (11)
different byte ranges. Eleven ranges is one more than is accepted by patched/fixed servers.
Cookie Slack Detector
Tests cookies to detect if some have no effect on response size when omitted, especially cookies containing the name "session" or "userid"
ELMAH Scanner
Tests to see if the Error Logging Modules and Handlers (elmah.axd) HTTP Module is available. Although this module is handy for
developers and other stakeholders it can also leak a significant amount of information which a security analyst or malicious individual
may be interested in.
The ELMAH scanner targets Microsoft based technologies: IIS, Windows, ASP, and MSSQL.
Example File Active Scanner
This implements an example active scan rule that loads strings from a file that the user can edit.
For more details see: http://zaproxy.blogspot.co.uk/2014/04/hacking-zap-4-active-scan-rules.html
Example Simple Active Scanner
This implements a very simple example active scan rule.
For more details see: http://zaproxy.blogspot.co.uk/2014/04/hacking-zap-4-active-scan-rules.html
Expression Language Injection
The software constructs all or part of an expression language (EL) statement in a Java Server Page (JSP) using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended EL statement before it is executed. In certain versions of Spring 3.0.5 and earlier, there was a vulnerability (CVE-2011-2730) in which Expression Language tags would be evaluated twice, which effectively exposed any application to EL injection. However, even for later versions, this weakness is still possible depending on configuration.
GET for POST Scanner
This scanner takes application/x-www-form-urlencoded
POST requests, changes the parameters from POST to GET and resubmits the request.
If the GET response is the same as the original POST response then an alert is raised. While this does not necessarily
represent a security weakness unto itself it may indicate that other attacks or weaknesses can be expanded or simplified.
(Such as a POST based Cross-Site Scripting (XSS) attack being changed to GET.)
HTTP Only Site
This active scanner checks whether an HTTP site is served under HTTPS.
Httpoxy
This active scanner checks whether a site is using the HTTP Proxy header specified in the request.
It sets up an HTTP proxy which listens to all interfaces on a randomly assigned free port.
It then sends a series of requests to the target server with the HTTP Proxy header set to each of the available
IP addresses and the port that it is listening on.
If a request is received on the new port then the server is very likely to be vulnerable.
IMPORTANT - the computer that ZAP is running on must accept incoming requests on arbitrary ports -
if a firewall prevents incoming connections then this rule will not work.
HTTPS As HTTP Scanner
This active scanner attempts to access content that was originally accessed via HTTPS (SSL/TLS) via HTTP.
LDAP Injection
LDAP Injection may be possible. It may be possible for an attacker to bypass authentication controls, and to view and modify arbitrary data in the LDAP directory.
SQL Injection - MsSQL
This active scanner attempts to inject MsSQL specific sleep commands into parameter values and analyzes the server's response time to see if the sleep is effectively executed on the server (indicating a successful SQL injection attack).
Source Code Disclosure - File Inclusion
Uses local file inclusion techniques to scan for files containing source code on the web server.
Source Code Disclosure - Git
Uses Git source code repository metadata to scan for files containing source code on the web server.
Trace.axd Scanner
Tests to see if Trace Viewer (trace.axd) is available. Although this component is convenient for developers and
other stakeholders it can leak a significant amount of information which a security analyst or malicious individual
may be interested in.
The trace.axd scanner targets Microsoft based technologies: IIS, Windows, ASP, and MSSQL.
User Agent Fuzzer
This active scanner checks for differences in response based on fuzzed User Agent (eg. mobile sites, access as a Search Engine Crawler). The scanner compares the response statuscode and the hashcode of the response body with the original response.


SUCH A LONG JOURNEY
Reviewed by Harvey Karten The Shooting Gallery TSG Director: Sturla Gunnarsson Writer: Sooni Taraporevala, novel by Rohinton Mistry Cast: Om Puri, Soni Razdan, Roshan Seth, Naseeruddin Shah, Sam Dastor, Kurush Deboo, Vrajesh Hirjee, Shazneed Damania
Starting with the Greeks ("Agamemnon," "Medea," "Antigone") and continuing with the Elizabethans ("Hamlet," "Othello") on up, portrayals of family dysfunction have been just about the most popular subject for stage and later movie productions. Recent American movies on the subject tend to be broadly satiric and nasty ("Happiness," "American Beauty,") or slick comic-then-tragic takes ("The Next Best Thing"). If you're used to Hollywood versions of domestic dilemmas and difficulties, you're like to be less than absorbed by some of the denser, more subtle selections on the subject. Look at "Such a Long Journey," for example, directed by the Iceland-born Sturla Gunnarsson who has lived much of his life in Canada. Gunnarsson, an unknown name in the U.S. except among cinephiles, is no stranger to awards, having garnered the Prix Ville de Cannes in 1991 for "Diplomatic Immunity" and for the current film he earned favorable reviews after its showing at the Toronto Film Festival, where the director now lives.
Gunnarsson has guts to undertake a project of these dimensions. Rohinton Mistry's book is freighted with plots and subplots and descriptive material whose essence had to be extracted by scripter Sooni Taraporevala--who is, like the characters he describes, a Parsi. What comes across in the relatively brief 110 minutes of screen time is certainly not the full textual content of the luxuriant novel but enough of each major aspects to make an imprint on the audience. Those considerations include a survey, however light, of the Parsi community of Bombay (these are the people who have descended from Persians who, when conquered by Arabs centuries ago, fled to India where they became favored by the British government and prospered in business). For more personal meditations we hone in on one Parsi family rolling in rupees during the British administration which somehow lost its fortune after independence, sending the head of family into a middle-class bank job in Bombay.
The film is blessed with the acting of perhaps India's number one performer, Roshan Seth ("Gandhi," "Passage to India," "My Beautiful Landrette," "Mississippi") in the role of Gustad Noble, a perfectly decent, quiet family man whose world suddenly begins to go to pieces in 1971. During that year, rebellions were taking place in East Pakistan, struggles which were to lead to the formation of the independent state of Bangladesh on India's northeast, a separation from Pakistan which was financed in part by the Indian government and private sources in India.
Using a few discreet flashbacks, Gunnarsson shows Gustad Noble during his happy childhood days in lavish quarters, and later, as an adult, as a man who is asked by his estranged friend Jimmy Bilimoria (Naseeruddin Shah) to be a courier of money to be used to help finance the Bengal uprising. While Noble appears apolitical, he is bound by loyalty to embark on a dangerous mission, employing the help of his friend and co-worker Dinshawji (Sam Dastor) and the guidance of Ghulam (Om Puri), who acts a liaison between Jimmy and Gustad. When it rains it pours: that very year, poor Mr. Noble is faced by a rebellion in his own household, as his son, Sohrab (Vrajesh Hirjee), refuses to go to a prestigious technical school despite his father's admonitions and his small daughter, Roshan (Shazneed Damania) comes down with malaria.
During frequent breaks from the domestic tumult, Gunnarsson cuts to the teeming streets of Bombay where his audience witnesses the shabby condition of the shops, the severely overcrowded local trains, and a minor revolution within his own neighborhood as municipal authorities are determined to tear down a wall filled with religious paintings to widen the road. As though these quandaries were not enough, Gustad's surrogate son, the retarded Tehmul (Kurush Deboo), has observed Gustad handling large sums of illegally-gained money and cannot be trusted to keep his observations a secret.
India and China hold 40% of the entire world's population with India in second place. From the limited sights of the streets of Bombay, we can feel the pressures of such overwhelming growth and sense how just about any annoyance from the arrogance of municipal authorities to the machinations of central government can lead to widespread unrest. By zeroing in on just one group of characters of India's huge multitudes, Gunnarsson afford us a look writ small of the turbulence of the Asian subcontinent, with its street people, its boulevard artists, the burdens felt even by those lucky enough to hold middle-class jobs, and layer upon layer of troubles almost without end. Given the superb acting talents of Mr. Seth and the subtle, patient direction of Mr. Gunnarsson, "Such a Long Journey" turns out a trip worth taking, its audience safely lolling in comfortable theater seats observing the pollution, the corruption, the degradations, the humiliations, and even the momentary joys of family life in Bombay.
Not Rated. Running Time: 110 minutes. (C) 2000 Harvey Karten<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Remains found in Nebraska linked to Missouri killings
NORTH PLATTE, Neb. (AP) - Human remains discovered in a Nebraska stock trailer appear to be from one of two Wisconsin brothers who were fatally shot by a Missouri farmer, authorities said Monday.
The Lincoln County sheriff’s office in North Platte, Nebraska, announced that a local rancher found the remains mixed with dirt in a plastic tub inside the trailer.
“We believe it probably is one of the brothers,” said Roland Kramer, the department’s chief deputy.
The rancher had just bought the trailer through an online ad from a seller in Missouri, Kramer said. He added that Lincoln County officials seized the trailer for possible use as evidence and would work with Missouri authorities as requested.
Garland Nelson, 25, of Braymer, Missouri, is accused of fatally shooting 35-year-old Nick Diemel and 24-year-old Justin Diemel, of Shawano County, Wisconsin, then burning their bodies and dumping them in a manure pile.
Jack Diemel, the brothers’ father, said the two had traveled to Nelson’s farm to collect on a $250,000 debt, according to court records. The father reported his sons missing July 21 after they failed to show up for a flight home to Milwaukee and did not answer their phones.
According to a probable cause statement, Nelson shot the brothers, put their bodies in 55-gallon barrels and used a skid loader to move them one at a time from a barn to a pasture. There, he allegedly burned them using diesel fuel and an unknown liquid. Nelson told investigators he then dumped the remains on a manure pile and hid the barrels elsewhere on his property, about 70 miles (110 kilometers) northeast of Kansas City, Missouri.
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Front-End Apprentice Dev | Content Writer | English-Spanish Translator | Metadata Editor
I'm an aspiring Front-End Developer, currently taking the self-learning path in freeCodeCamp, and highly interested in Full-Stack development and UX/UI design.
I also have over 15 years of experience in English-Spanish translation, with a knack for the technical side of both languages.
My interests have led to me gain practical experience in blogging and content marketing.
Currently, I work full-time as a metadata editor for the entertainment technology industry. My specialty: Latin American music.
You can always reach me out at:


-webkit-transform
Specifies transformations to be applied to an element.
The -webkit-transform property specifies a list of transformations, separated by whitespace, to be applied to an element, such as rotation, scaling, and so on.
The set of transform functions is similar to those allowed by SVG, although there are additional functions to support 3D transformations. If multiple transforms are applied, the transform is generated by performing a matrix concatenation of each transform in the list.
-webkit-transform: <function> ... ;
No transforms are applied.
A transform function. Possible values are described in "Visual Effects Transform Functions".
p { -webkit-transform: rotate(45deg); }


Lund is a small port on the west coast of the Malaspina Peninsula which is on the mainland on the eastern coast of the Georgia Strait. It lies about 20nm north of Powell River, one of the main ferry crossings to Vancouver Island.
In the season, it is popular with hikers, sailors and other watersport enthusiasts.
Position 49° 58'53"N, 124° 45'51"W
This is a sheltered harbour with 2 pontoons for yachts. Boats can moor to the eastern side of the wave breaks but there is no shore access , power or water.
The hotel dock is more exposed to swell and has no power or water.
Last updated April 2015.


CIDC Data Model
CIDC Data Model
Draft 0.1 of the CIDC Data Model.
| Entity | Description |
|---|---|
| Aliquot | Pertaining to a portion (volume or weight) of the whole. |
| Clinical Data Assay | Clinical data recorded for a clinical trial |
| Core Shipping Details | Core shipping details for a manifest. |
| Sample | Any material sample taken from a biological entity for testing, diagnostic, propagation, treatment or research purposes, including a sample obtained from a living organism or taken from the biological object after halting of all its life functions. Biospecimen can contain one or more components including but not limited to cellular molecules, cells, tissues, organs, body fluids, embryos, and body excretory products. |
| Clinical Trial | Encapsulates information regarding a clinical trial. |
| Defines a collection event and its biospecimen type hierarchy. | |
| Participant | The collection of all data related to a specific participant in the context of a specific clinical trial. |
Artifacts
| Entity | Description |
|---|---|
| Generic clinical data artifact | A file containing clinical information. |
| Gzipped VCF Artifact | Information about a Gzipped VCF file. |
| GZ Artifact | Information about a GZ file. |
| JUNCTION Artifact | Information about a JUNCTION file. |
| BAM Artifact | Information about a BAM file. |
| FCS Artifact | Information about a FCS file. |
| Gzipped FastQ Artifact | Information about a Gzipped FASTQ file. |
| TSV Artifact | Information about a tab Separated file. |
| Binary Artifact | Information about a binary file. |
| VCF Artifact | Information about a VCF file. |
| Excel Artifact | Information about an XLSX file. |
| ZIP Artifact | Information about a ZIP file. |
| BAM.BAI Artifact | Information about a Bam index file. |
| YAML Artifact | Information about a YAML file. |
| RCC Artifact | Information about a Nanostring output file. XML-formatted comma-separated tables |
| Artifact Core | Any file artifact associated with a clinical trial. |
| LOG Artifact | Information about a log file. |
| JSON Artifact | Information about a JSON file. |
| Image Artifact | Information about an image file. |
| ELISA results artifact | Information about an ELISA file. |
| TBI Artifact | Information about a Tabix index file. |
| CSV Artifact | Information about a comma separated file. |
| MAF Artifact | Information about a MAF file. |
| Text Artifact | Information about a text file. |
| NPX Artifact | Information about an NPX file. |
Assays
| Entity | Description |
|---|---|
| RNA Gene Expression Assay version 0 | Additional properties to describe a RNA assay for expression analysis. |
| MICSSS Assay | Multiplexed immunohistochemical consecutive staining on single slide. |
| RNA Gene Expression Assay | An RNA assay for expression analysis. |
| ELISA Assay | High-throughput multiplexed assays for protein biomarker discovery. |
| H&E Assay | H & E assay |
| Nanostring Assay | A microarray assay for expression levels, suitable for smaller samples than RNA-seq |
| CYTOF Run | Information about the acquisition and analysis CyTOF data for E4412 and similarly formatted trials. |
| CYTOF Run | Base information about the acquisition and analysis CyTOF data. |
| TCR Assay | Additional properties to describe a TCR assay for expression analysis. |
| Whole Exome Sequencing Assay | Whole exome sequencing. |
| mIF Assay | Multiplex immunofluorescence. |
| CYTOF Run | Information about the acquisition and analysis CyTOF data for 10021 and similarly formatted trials. |
| Olink Assay | High-throughput multiplexed assays for protein biomarker discovery. |
| IHC Assay | Immunohistochemical analysis. |
Assays > Components
| Entity | Description |
|---|---|
| NGS assay record | A single data record from an NGS assay. |
| Antibody | Common information about an antibody used in a number of immune-oncology assays. |
| NGS Assay Core | Common properties for NGS Assays. |
| MICSSS antibody | Data specific to antibody preparation on the multiplex immunohistochemical platform. |
| A list of local files type | A type to store a comma-separated list of local file paths. |
| Fastq pair or a bam | Paired end sequencing in a .fastq file pair or in a .bam |
| Composite Image | Regions of interest obtained from composite images. |
| Image Mapping | Regions of interest obtained from image mapping. |
| Assays which are available in the network | Reference for every available assay in network. |
| Reads with index | Index files associated with read files, in fastq.gz format |
| Assay Core | Main properties of the assay experiment template. |
| Local file type | A type to store local file paths. |
| Imaging Data | Shared schema for experiments involving the use of imaging data. |
| Image | Base information about the acquisition and analysis of a quantitative pathology image. |
| Analysis outputs for assays for this trial. | Reference for every available assay in network. |
| mIF antibody | Data specific to antibody preparation on the multiplex immunofluorescence platform. |
Assays > Components > Imaging
| Entity | Description |
|---|---|
| An analysis export from inForm of a region of interest (ROI). | |
| IHC assay record | A single data record from IHC assay. |
| Multiplex Immunofluorescence Input Files | mIF assay input files. |
| mIF assay record | A single data record from mIF assay. |
| Immunohistochemical Analysis Input Files | IHC assay input/output files. |
| A region of interest (ROI) is a portion of an image which has been analyzed using image processing software. | |
| Multiplexed Immunohistochemical Input Files | micsss assay input files. |
| IHC antibody | Data specific to antibody preparation for Immunohistochemical analysis. |
| micsss assay record | A single data record from micsss assay. |
Assays > Components > Ngs
| Entity | Description |
|---|---|
| NGS assay record | A single data record from an NGS assay. |
Assays > Components > Ngs > Tcr
| Entity | Description |
|---|---|
| TCR Output Files | Output files generated from the TCRseq assay: TRA and TRB clones |
| TCRseq assay Input Files | TCRseq assay input files. |
| TCRseq assay record | A single data record from TCRseq assay. |
| TCRseq replicate of interest. | |
| TCRseq analysis TRA/TRB clone output files | Output files generated from the TCRseq assay: TRA and TRB clones |
| TCR Output Files | Output files generated from the TCRseq assay: TRA and TRB clones |
Assays > Components > Ngs > Wes
| Entity | Description |
|---|---|
| WES Somatic Output Files | Somatic variant calling output sample files. |
| WES Pipeline Version | WES pipeline version/commit string. |
| WES MSISensor2 Output Files | MSISensor2 output files. |
| WES Alignment Output Files | WES output align files. |
| Clonality output files | Clonality output files. |
| WES assay record | A single data record from WES assay. |
| WES Corealignment Output Files | Core-alignments output files. |
| WES Purity Output Files | Purity output files. |
| WES analysis combined files | Combined analysis files for the whole WES assay. |
| WES sample analysis files | Sample wise analysis files for the WES assay. |
| WES Optitype/HLA Output Files | HLA output files. |
| WES Copynumber Output Files | Copy number output files. |
| WES Germline Output Files | Germline variant output sample files. |
| WES Metric Output Files | Coverage metrics output files. |
| WES Pair Analysis Output Files | Whole Exome Sequencing assay output files for a tumor normal pair of samples. |
| WES Neoantigen Output Files | Neoantigen output files. |
Assays > Components > Ngs > Rna
| Entity | Description |
|---|---|
| RNAseq msisensor Output Files | Msisensor output sample files. |
| RNAseq Level 1 Sample Analysis Output Files | RNAseq assay output files for a sample level 1 analysis. |
| RNAseq Star Output Files | Star output sample files. |
| RNAseq Fusion Output Files | Fusion output sample files. |
| RNAseq Microbiome Output Files | Microbiome output sample files. |
| RNAseq Star Output Files | Star output sample files. |
| RNAseq Star Output Files | Star output sample files. |
| RNAseq analysis combined files | Combined analysis files for the whole RNAseq assay. |
| RNAseq Trust4 Output Files | Trust4 output sample files. |
| RNAseq Neoantigen Output Files | Neoantigen output sample files. |
Templates
| Entity | Description |
|---|
Templates > Analyses
| Entity | Description |
|---|---|
| CyTOF analysis template | Metadata information for CyTOF Analysis output. |
| RNAseq level 1 analysis template | Metadata information for RNAseq level 1 Analysis output. |
| TCR analysis template | Metadata information for TCRseq Analysis output. |
| CyTOF analysis template | Metadata information for CyTOF Analysis output. |
| WES analysis template | Metadata information for WES Analysis output. |
Templates > Manifests
| Entity | Description |
|---|---|
| Shipping manifest for tissue DNA extracted from tumor tissue samples | Shipping / receiving manifest for transferring tissue DNA extracted from tumor tissue samples. |
| Shipping manifest for tissue slides | Shipping / receiving manifest for transferring tissue slides. |
| Metadata manifest for trial-specific non-harmonized participant annotations. | Metadata manifest for trial-specific non-harmonized participant annotations. |
| Shipping manifest for PBMC samples | Shipping / receiving manifest for transferring PBMC samples. |
| Shipping manifest for Plasma samples | Shipping / receiving manifest for transferring Plasma samples. |
| Shipping manifest for tissue DNA extracted from tumor tissue samples | Shipping / receiving manifest for transferring tissue DNA extracted from tumor tissue samples. |
| Shipping manifest for tissue DNA extracted from normal tissue samples | Shipping / receiving manifest for transferring DNA extracted from normal tissue samples. |
| Metadata manifest for tumor / normal pairing for WES assay analysis. | Metadata manifest for tumor / normal pairing for WES assay analysis. |
| Shipping manifest for DNA extracted from normal blood samples | Shipping / receiving manifest for transferring DNA extracted from normal blood samples. |
| Shipping manifest for Hematoxylin and Eosin stain | Shipping / receiving manifest for transferring H&E slides. |
Templates > Metadata
| Entity | Description |
|---|---|
| Metadata file for CYTOF | Metadata information for mass-cytometry (CYTOF). |
| Metadata file for CYTOF | Metadata information for mass-cytometry (CYTOF). |
| Metadata file for RNA expression [FASTQ]. | Metadata information for rna expression data submission via FASTQ files. |
| Metadata file for Nanostring | Metadata information for Nanostring analysis. |
| Metadata file for olink | Metadata information for olink analysis. |
| Metadata file for ELISA | Metadata information for ELISA analysis. |
| Metadata file for WES [BAM] | Metadata information for whole exome sequencing (WES) data submission via BAM files. |
| Metadata file for clincal data | Metadata regarding clinical data. |
| Metadata file for H & E | Metadata information for H & E analysis. |
| Metadata file for IHC | Metadata information for Immunohistochemical (IHC) analysis. |
| Metadata file for WES [FASTQ] | Metadata information for whole exome sequencing (WES) data submission via FASTQ files. |
| Metadata file for RNA expression [BAM] | Metadata information for rna expression data submission via BAM files. |
| Metadata file for mIF | Metadata information for multiplex immunoflouresence (mIF). |
| Metadata file for TCR seq [FASTQ]. | Metadata information for rna expression data submission via FASTQ files. |


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Fuel: petrol
Drive: automatic
Year built: 2012
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The registration mark: BG-244-FX
First registration date: 2014-08-24
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Year built: 2010
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Category: Passenger car
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Fuel: petrol
Drive: automatic
Year built: 2009
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The registration mark: BG-774-CC
First registration date: 2014-09-21
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LANDCRUISER
Category: SUV
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Year built: 2014
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The registration mark: BG-982-YV
First registration date: 2014-05-09
Distance traveled: 1265 km
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Porsche
Panamera 4.8 V8 Turbo S
Category: Compact executive car
Vehicle Type: 5 door
Fuel: petrol
Drive: automatic
Year built: 2013
Color: White
Price: 39000 eur
Renting price per day: 60 eur
Capacity: 4806 ccm
The registration mark: BG-753-XY
First registration date: 2014-06-18
Distance traveled: 2315 km
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Mercedes
Benz E350
Category: Compact executive car
Vehicle Type: 5 door
Fuel: diesel
Drive: automatic
Year built: 2012
Color: Silver
Price: 35000 eur
Renting price per day: 57 eur
Capacity: 3000 ccm
The registration mark: BG-759-TT
First registration date: 2014-03-28
Distance traveled: 3150 km
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Chapter 2 Linear Regression on SMART data
2.1 BRFSS and SMART
The Centers for Disease Control analyzes Behavioral Risk Factor Surveillance System (BRFSS) survey data for specific metropolitan and micropolitan statistical areas (MMSAs) in a program called the Selected Metropolitan/Micropolitan Area Risk Trends of BRFSS (SMART BRFSS.)
In this work, we will focus on data from the 2016 SMART, and in particular on data from the Cleveland-Elyria, OH, Metropolitan Statistical Area. The purpose of this survey is to provide localized health information that can help public health practitioners identify local emerging health problems, plan and evaluate local responses, and efficiently allocate resources to specific needs.
2.1.1 Key resources
- the full data are available in the form of the 2016 SMART BRFSS MMSA Data, found in a zipped SAS Transport Format file. The data were released in August 2017.
- the MMSA Variable Layout PDF which simply lists the variables included in the data file
- the Calculated Variables PDF which describes the risk factors by data variable names - there is also an online summary matrix of these calculated variables, as well.
- the lengthy 2016 Survey Questions PDF which lists all questions asked as part of the BRFSS in 2016
- the enormous Codebook for the 2016 BRFSS Survey PDF which identifies the variables by name for us.
Later this term, we’ll use all of those resources to help construct a more complete data set than we’ll study today. I’ll also demonstrate how I built the smartcle1
data set that we’ll use in this Chapter.
2.2 The smartcle1
data: Cookbook
The smartcle1.csv
data file available on the Data and Code page of our website describes information on 11 variables for 1036 respondents to the BRFSS 2016, who live in the Cleveland-Elyria, OH, Metropolitan Statistical Area. The variables in the smartcle1.csv
file are listed below, along with (in some cases) the BRFSS items that generate these responses.
| Variable | Description |
|---|---|
SEQNO |
respondent identification number (all begin with 2016) |
physhealth |
Now thinking about your physical health, which includes physical illness and injury, for how many days during the past 30 days was your physical health not good? |
menthealth |
Now thinking about your mental health, which includes stress, depression, and problems with emotions, for how many days during the past 30 days was your mental health not good? |
poorhealth |
During the past 30 days, for about how many days did poor physical or mental health keep you from doing your usual activities, such as self-care, work, or recreation? |
genhealth |
Would you say that in general, your health is … (five categories: Excellent, Very Good, Good, Fair or Poor) |
bmi |
Body mass index, in kg/m2 |
female |
Sex, 1 = female, 0 = male |
internet30 |
Have you used the internet in the past 30 days? (1 = yes, 0 = no) |
exerany |
During the past month, other than your regular job, did you participate in any physical activities or exercises such as running, calisthenics, golf, gardening, or walking for exercise? (1 = yes, 0 = no) |
sleephrs |
On average, how many hours of sleep do you get in a 24-hour period? |
alcdays |
How many days during the past 30 days did you have at least one drink of any alcoholic beverage such as beer, wine, a malt beverage or liquor? |
str(smartcle1)
Classes 'tbl_df', 'tbl' and 'data.frame': 1036 obs. of 11 variables:
$ SEQNO : num 2.02e+09 2.02e+09 2.02e+09 2.02e+09 2.02e+09 ...
$ physhealth: int 0 0 1 0 5 4 2 2 0 0 ...
$ menthealth: int 0 0 5 0 0 18 0 3 0 0 ...
$ poorhealth: int NA NA 0 NA 0 6 0 0 NA NA ...
$ genhealth : Factor w/ 5 levels "1_Excellent",..: 2 1 2 3 1 2 3 3 2 3 ...
$ bmi : num 26.7 23.7 26.9 21.7 24.1 ...
$ female : int 1 0 0 1 0 0 1 1 0 0 ...
$ internet30: int 1 1 1 1 1 1 1 1 1 1 ...
$ exerany : int 1 1 0 1 1 1 1 1 1 0 ...
$ sleephrs : int 6 6 8 9 7 5 9 7 7 7 ...
$ alcdays : int 1 4 4 3 2 28 4 2 4 25 ...
2.3 Model A: Predicting physhealth
We’ll begin by investigating the problem of predicting physhealth
, at first with just two predictor variables: exerany
and bmi
.
modA <- lm(physhealth ~ exerany + bmi, data = smartcle1)
glance(modA)
r.squared adj.r.squared sigma statistic p.value df logLik
1 0.07540472 0.07342274 8.337274 38.04508 1.307539e-16 3 -3311.633
AIC BIC deviance df.residual
1 6631.266 6650.633 64852.96 933
tidy(modA)
term estimate std.error statistic p.value
1 (Intercept) 3.607490 1.38217020 2.610019 9.198811e-03
2 exerany -4.815988 0.64545439 -7.461392 1.958704e-13
3 bmi 0.145394 0.04282778 3.394853 7.155975e-04
summary(modA)
Call:
lm(formula = physhealth ~ exerany + bmi, data = smartcle1)
Residuals:
Min 1Q Median 3Q Max
-11.9008 -3.3434 -2.4264 -0.8817 28.6932
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 3.60749 1.38217 2.610 0.009199 **
exerany -4.81599 0.64545 -7.461 1.96e-13 ***
bmi 0.14539 0.04283 3.395 0.000716 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 8.337 on 933 degrees of freedom
(100 observations deleted due to missingness)
Multiple R-squared: 0.0754, Adjusted R-squared: 0.07342
F-statistic: 38.05 on 2 and 933 DF, p-value: < 2.2e-16


From: Mr.Anuka Ifufeh. 19floor Eugene Marais Avenue, Constantia, South Africa Dear I sincerely ask for forgiveness for I know this may seem like a complete intrusion to your privacy but right about now this is my option of communication. This mail might come to you as a surprise and the temptation to ignore it as unserious could come into your mind; but please consider it a divine wish and accept it with a deep sense of humility. I am Mr.Anuka Ifufeh, the Auditor General of NED BANK PLC here South Africa, during the course of our auditing, I discovered a floating fund in an account opened in the bank 1995 and since 1998 nobody has operated on this account again.After going through some old files in the records I discovered that the owner of the account died without a [heir] hence the money is floating and if I do not remit this money out urgently it will be forfeited for nothing.  My investigation proved to me that the account has no other beneficiary and that Mr. Franklin Sullivan until his death was the manager Sullivan Coy. (pty). SA. We will start the first transfer with Thirty six million dollars [$36,000,000.00] upon successful transaction without any disappoint from your side, we shall re-apply for the payment of the remaining amount to your account. The amount involved is (USD $136M) Thirty Six Million United States Dollars only. I want to first transfer $36,000.000 [Thirty Six Million United States Dollar] from this money into a safe foreigners account abroad before the rest, but I don't know any foreigner. I am revealing this to you with believing God that you will never let me down in this business. Also send your private telephone number and fax number including the full details of the account to be used for the deposit. I need your strong assurance that you will never let me down in this business proposition. With my influence and the position of a bank official whom is working in our favour we can transfer this money to any foreigner's reliable account which you can provide with assurance that this money will be intact pending our physical arrival in your country for sharing. The bank official will destroy all documents of transaction immediately we receive this money leaving no trace to any place and to build confidence you can come immediately to discuss with me face to face after which I will make this remittance in your presence and three of us will fly to your country@least two days ahead of the money going into the account. At the conclusion of this business, you will be given 35% of the total amount, 60% will be for me, while 5% will be for expenses both parties might have incurred during the process of transferring. Best Regards, Mr.Anuka Ifufeh.


A simple utility to get a list of articles for any Medium feed, including the ability to get user feeds, topic feeds, and tag feeds.
Additionally allows for both synchronous & asynchronous usage, and a CORS proxy for local development.
var mediumFeed = new MediumFeed();
var mediumFeed = new MediumFeed({development: true}); //Enables a CORS proxy for localhost development
mediumFeed.getUserFeed("caden"); //Pass username of the feed you want
mediumFeed.getTopicFeed("technology"); //Pass topic (see: https://medium.com/topics)
mediumFeed.getTagFeed("reactjs"); //Pass tag to get feed for


Define an additional rule when you're managing multiple plans of the same type to improve the plan's selection process.
For example, if you want to check the issuer of a jwt token: { #context.attributes['jwt'].claims['iss'] == 'my-issuer' }
Selection Rule Support EL (e.g: { #context.attributes['jwt'].claims['iss'] == 'my-issuer' })


#include <shader.h>
|
| | scheduler_unit (shader_core_stats *stats, shader_core_ctx *shader, Scoreboard *scoreboard, simt_stack **simt, std::vector< shd_warp_t > *warp, register_set *sp_out, register_set *sfu_out, register_set *mem_out, int id) |
| |
| virtual | ~scheduler_unit () |
| |
| virtual void | add_supervised_warp_id (int i) |
| |
| virtual void | done_adding_supervised_warps () |
| |
| void | cycle () |
| |
| template<typename T > |
| void | order_lrr (typename std::vector< T > &result_list, const typename std::vector< T > &input_list, const typename std::vector< T >::const_iterator &last_issued_from_input, unsigned num_warps_to_add) |
| |
| template<typename U > |
| void | order_by_priority (std::vector< U > &result_list, const typename std::vector< U > &input_list, const typename std::vector< U >::const_iterator &last_issued_from_input, unsigned num_warps_to_add, OrderingType age_ordering, bool(*priority_func)(U lhs, U rhs)) |
| |
| virtual void | order_warps ()=0 |
| |
| template<class T > |
| void | order_by_priority (std::vector< T > &result_list, const typename std::vector< T > &input_list, const typename std::vector< T >::const_iterator &last_issued_from_input, unsigned num_warps_to_add, OrderingType ordering, bool(*priority_func)(T lhs, T rhs)) |
| |
Definition at line 301 of file shader.h.
◆ OrderingType
| Enumerator |
|---|
| ORDERING_GREEDY_THEN_PRIORITY_FUNC | |
| ORDERED_PRIORITY_FUNC_ONLY | |
| NUM_ORDERING | |
Definition at line 335 of file shader.h.
◆ scheduler_unit()
◆ ~scheduler_unit()
| virtual scheduler_unit::~scheduler_unit |
( |
| ) |
|
|
inlinevirtual |
◆ add_supervised_warp_id()
| virtual void scheduler_unit::add_supervised_warp_id |
( |
int |
i | ) |
|
|
inlinevirtual |
◆ cycle()
| void scheduler_unit::cycle |
( |
| ) |
|
◆ do_on_warp_issued()
| void scheduler_unit::do_on_warp_issued |
( |
unsigned |
warp_id, |
|
|
unsigned |
num_issued, |
|
|
const std::vector< shd_warp_t * >::const_iterator & |
prioritized_iter |
|
) |
| |
|
protectedvirtual |
◆ done_adding_supervised_warps()
| virtual void scheduler_unit::done_adding_supervised_warps |
( |
| ) |
|
|
inlinevirtual |
◆ get_sid()
| int scheduler_unit::get_sid |
( |
| ) |
const |
|
inlineprotected |
◆ order_by_priority() [1/2]
template<typename U >
| void scheduler_unit::order_by_priority |
( |
std::vector< U > & |
result_list, |
|
|
const typename std::vector< U > & |
input_list, |
|
|
const typename std::vector< U >::const_iterator & |
last_issued_from_input, |
|
|
unsigned |
num_warps_to_add, |
|
|
OrderingType |
age_ordering, |
|
|
bool(*)(U lhs, U rhs) |
priority_func |
|
) |
| |
◆ order_by_priority() [2/2]
template<class T >
| void scheduler_unit::order_by_priority |
( |
std::vector< T > & |
result_list, |
|
|
const typename std::vector< T > & |
input_list, |
|
|
const typename std::vector< T >::const_iterator & |
last_issued_from_input, |
|
|
unsigned |
num_warps_to_add, |
|
|
OrderingType |
ordering, |
|
|
bool(*)(T lhs, T rhs) |
priority_func |
|
) |
| |
A general function to order things in an priority-based way. The core usage of the function is similar to order_lrr. The explanation of the additional parameters (beyond order_lrr) explains the further extensions.
- Parameters
-
| ordering | An enum that determines how the age function will be treated in prioritization see the definition of OrderingType. |
| priority_function | This function is used to sort the input_list. It is passed to stl::sort as the sorting fucntion. So, if you wanted to sort a list of integer warp_ids with the oldest warps having the most priority, then the priority_function would compare the age of the two warps. |
Definition at line 768 of file shader.cc.
◆ order_lrr()
template<class T >
| void scheduler_unit::order_lrr |
( |
typename std::vector< T > & |
result_list, |
|
|
const typename std::vector< T > & |
input_list, |
|
|
const typename std::vector< T >::const_iterator & |
last_issued_from_input, |
|
|
unsigned |
num_warps_to_add |
|
) |
| |
A general function to order things in a Loose Round Robin way. The simplist use of this function would be to implement a loose RR scheduler between all the warps assigned to this core. A more sophisticated usage would be to order a set of "fetch groups" in a RR fashion. In the first case, the templated class variable would be a simple unsigned int representing the warp_id. In the 2lvl case, T could be a struct or a list representing a set of warp_ids.
- Parameters
-
| result_list | The resultant list the caller wants returned. This list is cleared and then populated in a loose round robin way |
| input_list | The list of things that should be put into the result_list. For a simple scheduler this can simply be the m_supervised_warps list. |
| last_issued_from_input | An iterator pointing the last member in the input_list that issued. Since this function orders in a RR fashion, the object pointed to by this iterator will be last in the prioritization list |
| num_warps_to_add | The number of warps you want the scheudler to pick between this cycle. Normally, this will be all the warps availible on the core, i.e. m_supervised_warps.size(). However, a more sophisticated scheduler may wish to limit this number. If the number if < m_supervised_warps.size(), then only the warps with highest RR priority will be placed in the result_list. |
Definition at line 735 of file shader.cc.
◆ order_warps()
| virtual void scheduler_unit::order_warps |
( |
| ) |
|
|
pure virtual |
◆ sort_warps_by_oldest_dynamic_id()
◆ warp()
◆ m_id
◆ m_last_supervised_issued
| std::vector< shd_warp_t* >::const_iterator scheduler_unit::m_last_supervised_issued |
|
protected |
◆ m_mem_out
◆ m_next_cycle_prioritized_warps
| std::vector< shd_warp_t* > scheduler_unit::m_next_cycle_prioritized_warps |
|
protected |
◆ m_scoreboard
◆ m_sfu_out
◆ m_shader
◆ m_simt_stack
◆ m_sp_out
◆ m_stats
◆ m_supervised_warps
| std::vector< shd_warp_t* > scheduler_unit::m_supervised_warps |
|
protected |
◆ m_warp
The documentation for this class was generated from the following files:
- gpgpu-sim_distribution/src/gpgpu-sim/shader.h
- gpgpu-sim_distribution/src/gpgpu-sim/shader.cc


All the basics for getting started
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Full or part time employees fees are paid every month that they remain commercially engaged with the company. The fee is calculated from the current salary time.
Fees are paid every month that they remain commercially engaged with the company. The fee is calculated from the current contracting rate.
If a volunteer role turns into a paid engagement within 24 months of the initial engagement then fees are paid every month that they remain commercially engaged with the company. The fee is calculated by the current salary or contracting rate.
So here is a simple example
you pay
Traditional Recruitment Agency
you pay


This is a large port located on the western side of langeland, just south of the bridge which connects the island to Svenborg on the island of Fyn. This is an attractive town with its narrow streets and interesting shops.
Position 54° 56'28"N, 10° 42'30"E (marina entrance)
There are three areas to this port. The marina, with 400 berths, is to the north. The middle one is the fishing harbour, and to the south is the old commercial harbour. In the southern part of which both large and small yachts are berthed. It may be possible to find a guest berth here.
In the fishing harbour there is a slipway and a wooden boat building yard.
The marina has allocated guest berths.
Last updated April 2016.


Go to the source code of this file.
Data Structures | |
| struct | sfIpAddress |
| Encapsulate an IPv4 network address. More... | |
Functions | |
| CSFML_NETWORK_API sfIpAddress | sfIpAddress_fromString (const char *address) |
| Create an address from a string. More... | |
| CSFML_NETWORK_API sfIpAddress | sfIpAddress_fromBytes (sfUint8 byte0, sfUint8 byte1, sfUint8 byte2, sfUint8 byte3) |
| Create an address from 4 bytes. More... | |
| CSFML_NETWORK_API sfIpAddress | sfIpAddress_fromInteger (sfUint32 address) |
| Construct an address from a 32-bits integer. More... | |
| CSFML_NETWORK_API void | sfIpAddress_toString (sfIpAddress address, char *string) |
| Get a string representation of an address. More... | |
| CSFML_NETWORK_API sfUint32 | sfIpAddress_toInteger (sfIpAddress address) |
| Get an integer representation of the address. More... | |
| CSFML_NETWORK_API sfIpAddress | sfIpAddress_getLocalAddress (void) |
| Get the computer's local address. More... | |
| CSFML_NETWORK_API sfIpAddress | sfIpAddress_getPublicAddress (sfTime timeout) |
| Get the computer's public address. More... | |
Variables | |
| CSFML_NETWORK_API const sfIpAddress | sfIpAddress_None |
| Empty object that represents invalid addresses. More... | |
| CSFML_NETWORK_API const sfIpAddress | sfIpAddress_LocalHost |
| Local host IP address (<IP_ADDRESS>, or "localhost") More... | |
| CSFML_NETWORK_API const sfIpAddress | sfIpAddress_Broadcast |
| UDP broadcast address (<IP_ADDRESS>) More... | |
| CSFML_NETWORK_API sfIpAddress sfIpAddress_fromBytes | ( | sfUint8 | byte0, |
| sfUint8 | byte1, | ||
| sfUint8 | byte2, | ||
| sfUint8 | byte3 | ||
| ) |
Create an address from 4 bytes.
Calling sfIpAddress_fromBytes(a, b, c, d) is equivalent to calling sfIpAddress_fromString("a.b.c.d"), but safer as it doesn't have to parse a string to get the address components.
| byte0 | First byte of the address |
| byte1 | Second byte of the address |
| byte2 | Third byte of the address |
| byte3 | Fourth byte of the address |
| CSFML_NETWORK_API sfIpAddress sfIpAddress_fromInteger | ( | sfUint32 | address | ) |
Construct an address from a 32-bits integer.
This function uses the internal representation of the address directly. It should be used for optimization purposes, and only if you got that representation from sfIpAddress_ToInteger.
| address | 4 bytes of the address packed into a 32-bits integer |
| CSFML_NETWORK_API sfIpAddress sfIpAddress_fromString | ( | const char * | address | ) |
Create an address from a string.
Here address can be either a decimal address (ex: "<IP_ADDRESS>") or a network name (ex: "localhost").
| address | IP address or network name |
| CSFML_NETWORK_API sfIpAddress sfIpAddress_getLocalAddress | ( | void | ) |
Get the computer's local address.
The local address is the address of the computer from the LAN point of view, i.e. something like <IP_ADDRESS>. It is meaningful only for communications over the local network. Unlike sfIpAddress_getPublicAddress, this function is fast and may be used safely anywhere.
| CSFML_NETWORK_API sfIpAddress sfIpAddress_getPublicAddress | ( | sfTime | timeout | ) |
Get the computer's public address.
The public address is the address of the computer from the internet point of view, i.e. something like <IP_ADDRESS>. It is necessary for communications over the world wide web. The only way to get a public address is to ask it to a distant website; as a consequence, this function depends on both your network connection and the server, and may be very slow. You should use it as few as possible. Because this function depends on the network connection and on a distant server, you may use a time limit if you don't want your program to be possibly stuck waiting in case there is a problem; use 0 to deactivate this limit.
| timeout | Maximum time to wait |
| CSFML_NETWORK_API sfUint32 sfIpAddress_toInteger | ( | sfIpAddress | address | ) |
Get an integer representation of the address.
The returned number is the internal representation of the address, and should be used for optimization purposes only (like sending the address through a socket). The integer produced by this function can then be converted back to a sfIpAddress with sfIpAddress_FromInteger.
| address | Address object |
| CSFML_NETWORK_API void sfIpAddress_toString | ( | sfIpAddress | address, |
| char * | string | ||
| ) |
Get a string representation of an address.
The returned string is the decimal representation of the IP address (like "<IP_ADDRESS>"), even if it was constructed from a host name.
| address | Address object |
| CSFML_NETWORK_API const sfIpAddress sfIpAddress_Broadcast |
UDP broadcast address (<IP_ADDRESS>)
Definition at line 61 of file IpAddress.h.
| CSFML_NETWORK_API const sfIpAddress sfIpAddress_LocalHost |
Local host IP address (<IP_ADDRESS>, or "localhost")
Definition at line 55 of file IpAddress.h.
| CSFML_NETWORK_API const sfIpAddress sfIpAddress_None |
Empty object that represents invalid addresses.
Definition at line 49 of file IpAddress.h.