|
| No. |
Hits |
Files |
Pageviews |
Sessions |
KB sent |
Referrer Host |
|
| 1 |
5148 |
96.08% |
4396 |
95.63% |
448 |
72.14% |
201 |
66.12% |
33796 |
http://stonegoddess.com/ |
| 2 |
39 |
0.73% |
39 |
0.85% |
39 |
6.28% |
16 |
5.26% |
4471 |
http://www.google.com/ |
| 3 |
24 |
0.45% |
24 |
0.52% |
24 |
3.86% |
17 |
5.59% |
392 |
http://search.yahoo.com/ |
| 4 |
24 |
0.45% |
22 |
0.48% |
24 |
3.86% |
15 |
4.93% |
290 |
http://search.msn.com/ |
| 5 |
23 |
0.43% |
23 |
0.50% |
23 |
3.70% |
22 |
7.24% |
46 |
http://www.osomin.com/ |
| 6 |
13 |
0.24% |
13 |
0.28% |
1 |
0.16% |
2 |
0.66% |
171 |
http://<IP_ADDRESS>/ |
| 7 |
12 |
0.22% |
12 |
0.26% |
0 |
0.00% |
2 |
0.66% |
34 |
http://<IP_ADDRESS>/ |
| 8 |
7 |
0.13% |
7 |
0.15% |
7 |
1.13% |
1 |
0.33% |
28 |
http://darclan.com/ |
| 9 |
6 |
0.11% |
3 |
0.07% |
3 |
0.48% |
3 |
0.99% |
7 |
http://www.whois.sc/ |
| 10 |
6 |
0.11% |
6 |
0.13% |
0 |
0.00% |
1 |
0.33% |
17 |
http://www.google.com.br/ |
| 11 |
5 |
0.09% |
5 |
0.11% |
5 |
0.81% |
1 |
0.33% |
16 |
http://jinyuegz.www.huashuopen.com/ |
| 12 |
5 |
0.09% |
5 |
0.11% |
5 |
0.81% |
5 |
1.64% |
455 |
http://aolsearch.aol.com/ |
| 13 |
3 |
0.06% |
3 |
0.07% |
3 |
0.48% |
3 |
0.99% |
6 |
http://alicatsrocks.com/ |
| 14 |
3 |
0.06% |
3 |
0.07% |
3 |
0.48% |
1 |
0.33% |
294 |
http://www.google.com.au/ |
| 15 |
2 |
0.04% |
2 |
0.04% |
2 |
0.32% |
0 |
0.00% |
273 |
http://ms101.mysearch.com/ |
| 16 |
2 |
0.04% |
2 |
0.04% |
2 |
0.32% |
1 |
0.33% |
29 |
http://results.dashbar.com/ |
| 17 |
2 |
0.04% |
2 |
0.04% |
2 |
0.32% |
2 |
0.66% |
45 |
http://web.ask.com/ |
| 18 |
1 |
0.02% |
1 |
0.02% |
1 |
0.16% |
0 |
0.00% |
0 |
www.design47.com/customers.html |
| 19 |
1 |
0.02% |
1 |
0.02% |
1 |
0.16% |
1 |
0.33% |
2 |
www.search.ch |
| 20 |
1 |
0.02% |
1 |
0.02% |
1 |
0.16% |
1 |
0.33% |
137 |
XXXX:+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ |
| 21 |
1 |
0.02% |
1 |
0.02% |
1 |
0.16% |
0 |
0.00% |
4 |
www.searchengineshowdown.com |
| 22 |
1 |
0.02% |
1 |
0.02% |
1 |
0.16% |
0 |
0.00% |
3 |
www.searchenginelinks.co.uk |
| 23 |
1 |
0.02% |
1 |
0.02% |
1 |
0.16% |
0 |
0.00% |
24 |
www.internshipprograms.com |
| 24 |
1 |
0.02% |
1 |
0.02% |
1 |
0.16% |
0 |
0.00% |
137 |
www.booble.com |
| 25 |
1 |
0.02% |
1 |
0.02% |
1 |
0.16% |
0 |
0.00% |
41 |
consulate.travel.com.hk |
| 26 |
1 |
0.02% |
1 |
0.02% |
1 |
0.16% |
0 |
0.00% |
8 |
searches.rootsweb.com |
| 27 |
1 |
0.02% |
1 |
0.02% |
1 |
0.16% |
0 |
0.00% |
1 |
www.look.com |
| 28 |
1 |
0.02% |
1 |
0.02% |
1 |
0.16% |
0 |
0.00% |
6 |
www.infonortics.com |
| 29 |
1 |
0.02% |
1 |
0.02% |
1 |
0.16% |
0 |
0.00% |
10 |
www.klickonusa.com |
| 30 |
1 |
0.02% |
0 |
0.00% |
0 |
0.00% |
1 |
0.33% |
1 |
www.seventwentyfour.com/ |
|


JSTL Bundle PLugin — Package to provide easy localization for a web application.
Stripes has some localization, but only for error messages and field names. If you want more, you can use the
ubiquitous JSTL formatting tags. You can even configure it in your web.xml
:
<config-param> <param-name>javax.servlet.jsp.jstl.fmt.LocalizationContext</param-name> <param-value>StripesResources</param-value> </config-param>
Note however, that this approach only works for simple ResourceBundles, i.e. with .properties
files.
The JSTL bundle plugin provides a means to go beyond this. Whenever you use the JSTL tags for localization and you
also implement your own {@link net.sourceforge.stripes.localization.LocalizationBundleFactory}, you'll benefit from
using it.
The plugin has two modes of operation: reuse the JSTL default, or set the JSTL default.
To reuse the JSTL default, configure Stripes to use org.stripesstuff.plugin.jstl.JstlLocalizationBundleFactory as LocalizationBundleFactory. This ensures that Stripes uses your context parameter to load the ResourceBundle for error messages, field names and the default bundle in JSP's.
You can also set the JSTL default using the plugin. To do that, configure Stripes to use the {@link JstlBundleInterceptor}, either by explicit configuration, or by including this package as an extension package. Configuration notes can be found in the javadoc of {@link JstlBundleInterceptor}.
If you configure both approaches, the LocalizationBundleFactory approach takes precedence (the interceptor disableѕ itself).


The piccolo /ˈpɪkəloʊ/ (Italian pronunciation: [ˈpikkolo]; Italian for "small", but named ottavino in Italy)
Using native custom elements API (but not only)
As simple as it gets.
import { component } from 'ottavino'
component({
tag: 'tiny-moji',
template: '{{this.moodIcon}}',
shadow: true, // optional shadow DOM
properties: {
moodIcon: '😃'
},
attributes: {
mood: function(newValue /*, oldValue, domElement */) {
this.moodIcon = newValue === 'sad' ? '😢' : '😃'
}
}
})
<tiny-moji></tiny-moji>
<tiny-moji mood="sad"></tiny-moji>
IIFE Version (no es-modules)

window.ottavino.component({
// here you go
});
1534 bytes in commit hash 8c90491
component(options: ComponentDescriptor<T?>) => ComponentProxy<T>

) and make it behave just like it was a custom element. It can be a queryselector to be executed on the document or a reference to an element instancetag
nor mount
are used (or both used) - expect dragons.this
will refer to the handlerthis
would reach this object. If none defined, it will generate a default component proxy{{this.counter}}
<button onclick="{{this.counter++}}">Count UP!</button>
<button onclick="{{this.counter = 0}}">Reset</button>
<button onclick="{{this.hereBeDragons()}}DONT PUSH BUTTON</button>
Anything evaluated between mustache-braces will be executed within the component's context.
Every execution can reach this
(the component logic) and component
as a reference to the DOM element.
The component-handler is a component-proxy object that reflects anything to the actual DOM element and vice versa. The proxy is reachable from the DOM via proxy
property name.
Event handlers (any attribute that starts with "on...") also can use event
as an argument passed into the expression.
Try mounting your awesome component (with shadow DOM) to the document body instead of using a custom element. In your template, don't use slots. Embed it in another webpage. Fun :unicorn:
This project attempts to create the simplest developer experience while using the lastest and greatest features the borwser can provide. Next in the list:
#usetheplatform
Generated using TypeDoc


An event is either the expiration of a timer, or the matching
of some pattern in the input. Events that have not happened yet are
pending events. Pending events are created with the
timer
and match
commands, respectively.
Each pending event has an associated label (called the target
label) of the event. When and if the event occurs, execution
resumes starting at the target label. Events only occur during
the execution of a wait
command.
Events are grouped into named sets. Events in the same set are usually related, in the sense that they represent alternate outcomes to the same situation.
A set of pending events may be explicitly cancelled
(i.e., forgotten) before they occur with the cancel
command. All events in the set are cancelled.
The other way a set of pending events may be cancelled is implicitly, when any event in the set occurs. Execution resumes at the target label associated with the event that occurred, and all other events in that set are immediately cancelled.


--- title: Terms of service description: By accessing my website, you agree to be bound by these terms of service. permalink: /legal/terms/ layout: default published: true group: legal lang: en language: English og-locale: en_US order: 1 ---
By accessing the website at www.pavolmikulas.com, you are agreeing to be bound by these terms of service, all applicable laws, and regulations, and agree that you are responsible for compliance with any applicable local laws. If you do not agree with any of these terms, you are prohibited from using or accessing this site. The materials contained in this website are protected by applicable copyright and trademark law.
1. Permission is granted to temporarily download one copy of the materials (information or software) on Pavol Mikuláš's website for personal, non-commercial transitory viewing only. This is the grant of a license, not a transfer of title, and under this license, you may not:
2. This license shall automatically terminate if you violate any of these restrictions and may be terminated by Pavol Mikuláš at any time. Upon terminating your viewing of these materials or upon the termination of this license, you must destroy any downloaded materials in your possession whether in electronic or printed format.
1. The materials on Pavol Mikuláš's website are provided on an 'as is' basis. Pavol Mikuláš makes no warranties, expressed or implied, and hereby disclaims and negates all other warranties including, without limitation, implied warranties or conditions of merchantability, fitness for a particular purpose, or non-infringement of intellectual property or other violation of rights.
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In no event shall Pavol Mikuláš or its suppliers be liable for any damages (including, without limitation, damages for loss of data or profit, or due to business interruption) arising out of the use or inability to use the materials on Pavol Mikuláš's website, even if Pavol Mikuláš or a Pavol Mikuláš authorized representative has been notified orally or in writing of the possibility of such damage. Because some jurisdictions do not allow limitations on implied warranties, or limitations of liability for consequential or incidental damages, these limitations may not apply to you.
The materials appearing on Pavol Mikuláš's website could include technical, typographical, or photographic errors. Pavol Mikuláš does not warrant that any of the materials on its website are accurate, complete or current. Pavol Mikuláš may make changes to the materials contained on its website at any time without notice. However, Pavol Mikuláš does not make any commitment to update the materials.
Pavol Mikuláš has not reviewed all of the sites linked to its website and is not responsible for the contents of any such linked site. The inclusion of any link does not imply endorsement by Pavol Mikuláš of the site. Use of any such linked website is at the user's own risk.
Pavol Mikuláš may revise these terms of service for its website at any time without notice. By using this website you are agreeing to be bound by the then current version of these terms of service.
These terms and conditions are governed by and construed in accordance with the laws of Slovakia and you irrevocably submit to the exclusive jurisdiction of the courts in that State or location.


John Doe
Age: 35
| Address | Twitter, Inc. 1355 Market St, Suite 900 |
|---|
| Father's Name | Jakie Doe | Spouse | - |
|---|---|---|---|
| Gender | Male | Blood Group | O+ |
| Height | 5'3" | Weight | 68kg |
|<EMAIL_ADDRESS>| Aadhar Number | xxxxxxxx2047 | |
| Employment Status | Part-time | Occupation | Maintainance |
| Company | Company's Address | Twitter, Inc. 1355 Market St, Suite 900 |


| MPI_COMM_CREATE_ERRHANDLER(function, errhandler) | |
| IN function | user defined error handling procedure (function) |
| OUT errhandler | MPI error handler (handle) |
int MPI_Comm_create_errhandler(MPI_Comm_errhandler_fn *function, MPI_Errhandler *errhandler)
MPI_COMM_CREATE_ERRHANDLER(FUNCTION, ERRHANDLER, IERROR)
EXTERNAL FUNCTION
INTEGER ERRHANDLER, IERROR
static MPI::Errhandler MPI::Comm::Create_errhandler(MPI::Comm::Errhandler_fn* function)
Creates an error handler that can be attached to communicators. This function is identical to MPI_ERRHANDLER_CREATE, whose use is deprecated.
The user routine should be, in C, a function of type MPI_Comm_errhandler_fn, which is defined as
typedef void MPI_Comm_errhandler_fn(MPI_Comm *, int *, ...);
The first argument is the communicator in use, the second is the error code to be returned. This typedef replaces MPI_Handler_function, whose use is deprecated.
In Fortran, the user routine should be of the form:
SUBROUTINE COMM_ERRHANDLER_FN(COMM, ERROR_CODE, ... )
INTEGER COMM, ERROR_CODE
In C++, the user routine should be of the form:
typedef void MPI::Comm::Errhandler_fn(MPI::Comm &, int *, ... );
| MPI_COMM_SET_ERRHANDLER(comm, errhandler) | |
| INOUT comm | communicator (handle) |
| IN errhandler | new error handler for communicator (handle) |
int MPI_Comm_set_errhandler(MPI_Comm comm, MPI_Errhandler errhandler)
MPI_COMM_SET_ERRHANDLER(COMM, ERRHANDLER, IERROR)
INTEGER COMM, ERRHANDLER, IERROR
void MPI::Comm::Set_errhandler(const MPI::Errhandler& errhandler)
Attaches a new error handler to a communicator. The error handler must be either a predefined error handler, or an error handler created by a call to MPI_COMM_CREATE_ERRHANDLER. This call is identical to MPI_ERRHANDLER_SET, whose use is deprecated.
| MPI_COMM_GET_ERRHANDLER(comm, errhandler) | |
| IN comm | communicator (handle) |
| OUT errhandler | error handler currently associated with communicator (handle) |
int MPI_Comm_get_errhandler(MPI_Comm comm, MPI_Errhandler *errhandler)
MPI_COMM_GET_ERRHANDLER(COMM, ERRHANDLER, IERROR)
INTEGER COMM, ERRHANDLER, IERROR
MPI::Errhandler MPI::Comm::Get_errhandler() const
Retrieves the error handler currently associated with a communicator. This call is identical to MPI_ERRHANDLER_GET, whose use is deprecated.


According to a previous Post report, fest season in 2020 was set to kick off on March 21. However, due to the COVID-19 pandemic, the fall party culture at OU was disrupted when the university sent students home.
In March, OU announced all students would be invited back to campus for Fall Semester and has set health and safety regulations as a result. Currently, the university requires all individuals who enter campus buildings to wear a mask, regardless of vaccination status.
Students who do not follow the safety expectations outlined by the university will be held accountable via the Student Code of Conduct this fall. Consequences for these actions may result in removal from in-person courses and, in some cases, suspension from the university, Carly Leatherwood, a university spokesperson, said.
“We appreciate the culture of respect that we have fostered here at Ohio University, and we know that Bobcats care for one another and will do everything they can to help keep one another safe and healthy this fall,” Leatherwood said in an email.
The university has also implemented an interim presidential health directives policy that gives OU the ability to take action they deem necessary “to address transmittable disease, epidemics, pandemics, and other threats to the health and safety of persons associated with Ohio University,” according to OU’s website.
In July, Delta Tau Delta was suspended from OU’s campus due to numerous violations of the Student Code of Conduct, including a violation of the interim presidential health directives.
Additionally, on Sept. 2, 2020, OU and the city of Athens entered into a compact that outlines ways in which each respective population can work together to hold one another accountable in adhering to local policies, ordinances and public-health practices.
Currently, there are no local or state policies in place regarding limitations on gathering sizes.
Between Jan. 1 and April 5, the amount of alcohol-related arrests and charges in the city of Athens was lower than years past, largely due to the pandemic, according to a previous Post report. Only nine individuals were charged with underage drinking in the time frame, a significant decrease from 59 charges during the same time frame in 2019.
According to the report, Ralph Harvey, captain of the Athens Police Department, or APD, said the majority of the department’s underage arrest charges were made in relation to other behavior that resulted in the intervention of the department.
Similarly, Jeff McCall, administrative lieutenant at APD, said the department’s presence on scenes over the 2021 opening weekend at OU was related to nuisance parties and officer-observed situations in which most individuals present dispersed on their own, rather than addressing gathering sizes.
Despite there being no restrictions on gathering sizes, Athens City Councilman Ben Ziff, D-At Large, expressed concerns regarding mass gatherings in Athens and a potential outbreak in COVID-19 cases.
“I know I'm concerned,” Ziff said. “With events like Halloween being outside … hopefully it'll be a little better.”
In regards to Halloween, Ziff mentioned the benefits of the holiday itself, as many people tend to wear masks as part of a costume, he said. Additionally, he noted the increased vaccination rates among OU students as a positive sign for the Athens community.
“If we can get that rate up even higher and higher and higher and get more people with a vaccine, then hopefully won't even really be seeing any of those big outbreaks,” Ziff said.
According to a university-wide email from Gillian Ice, special assistant to the president for public health operations, nearly 75% of students living in residential halls on OU’s Athens campus are fully vaccinated and 64% of the entire Athens campus student population is fully vaccinated.


Will MARVEL fans love NIKE too?
Which movie should NIKE choose to collaborate for a big profit?
More generally, Is there a relationship between one's brand preference and music/movie tastes?
We actually don't know! However, we thought that choosing or deciding something reflects one's tastes unconsciously.
So, we checked it using Machine Learning.We crawled data, trained classifier, and found out a brand suited one’s taste.
Check it out our YouTube and Github!
Implement Continuous Speech Recognizer! I construct GMM-HMM model and find answer using Viterbi algorithm. Please check my Github!
GithubImplement Knowledge based QA system! We implemented natural language processing module to understand humans' natural questions and also implemented question normalization module to request for answer. We utilize Stanford CoreNLP, Freebase, and so on. Check more details on my Github.
GithubRetrieve relevant news articles to a query! I used 600MB news articles and implemented from stemming to tuning my search engine. I implemented traditional TF-IDF algorithm, Vector Space model and also BM25.
GithubAnytimeAnywhere is a music recommendation service by smartly detecting mood and situation of a user.
Do you know that your walking pace shows your mood? We got an idea from this motivation.
We recommend and play a music by your walking pace, weather, and time. You don't need any other controls. Just click play button and feel your mood now.
Build actual trading system which maximize the asset return! I trained stream of tick data of 15 companies and find pattern/ signal which cause increase or decrease of stock price. And then, I build actual trading program. If the pattern appears(matchs), I made a transaction(buy or sell).
Did I lose assets, or get it? Check it on my Github!


Your browser should automatically redirect you to the docs. Click here if you aren't redirected within 3 seconds.


ASCOM Focuser Driver (C#) |
Prior to developing your first driver, please familiarize yourself with the developer information we've provided at the ASCOM Initiative web site (internet required).
You must do the following in order to complete your implementation:
Switch to the Debug configuration and build the template now. It should build without errors.
Add a test project to the solution. There are templates that can be used to add either a console or a Windows Forms application:
Select the ASCOM Test Forms App (CS) or ASCOM Test Console App (CS) template.
Set a name for the test application and click on OK.
In the Wizard: set the same device type and model name as for the driver and select Create to build the test project.
Set the Test Application to Run at Startup.
Click on Debug and the test application should run. You should be able to select your application in the chooser. Selecting Properties should show the default setup dialog for your driver.
Trying to continue will generate errors because the additional properties have not been implemented.
Go through the Driver.cs file and replace the System.NotImplemented exceptions with code to implement your driver's functionality. See the ASCOM IFocuserV2 spec. If a property or method is not implemented in your driver the System.NotImplemented exception must be replaced by an ASCOM.PropertyNotImplemented or ASCOM.MethodNotImplemented exception.
Customize the Setup Dialog (SetupDialogForm) to provide the settings and other controls for your driver. You can bind settings directly to controls on your dialog form, there's no need to manage settings manually. A custom Settings class takes care of managing your settings behind the scenes.
Successfully building the driver, as well as using regasm on the assembly, registers it for both COM and ASCOM (the Chooser). See the code in the ASCOM Registration region of Driver.vb.
Doing a Clean for the project, as well doing a regasm -u on the assembly, unregisters it for both COM and ASCOM (the Chooser).
Place a breakpoint in your driver class constructor, then start debugging (go, F5). Your breakpoint will be hit when the test application creates an instance of your driver (after selecting it in the Chooser). You can now single step, examine variables, etc. Please review the test application and make changes and additions to activate various parts of your driver during debugging.
The project's Debug configuration is already configured (The test application creates an instance of your driver (after selecting it in the Chooser). You can now single step, examine variables, etc. Please review the test application and feel free to make changes and additions to activate various parts of your driver during debugging.
|
||
|
The ASCOM Initiative consists of a group of astronomy software developers and instrument vendors whose goals are to promote the driver/client model and scripting automation. See the ASCOM web site for more information. Please participate in the ASCOM-Talk Yahoo Group. |


{% extends "base.html" %} {% block title %}Registration{% endblock %} {% block content %}
Your changes have been saved.
You may return to the registration page as often as you wish to change your selections.


Published:
Latest versions of screen readers used at time of testing.
div
with role=form
, no accessible name| Browser / OS | Browser Exposes | JAWS | NVDA | VoiceOver | Narrator | TalkBack |
|---|---|---|---|---|---|---|
| Safari 12.1 macOS 10.14.4 | role: AXGroup dev tools - role: form |
n/a | n/a | landmark not found | n/a | n/a |
| Safari 12.2 iOS | ??? | n/a | n/a | landmark not found | n/a | n/a |
| Chrome 74 macOS 10.14.4 | dev tools - role: form | n/a | n/a | landmark not found | n/a | n/a |
| Chrome 74 PC | MSAA / IA2: accRole: form | landmark not found | landmark found | n/a | n/a | n/a |
| Chrome 74 Android 8.1 | ??? | n/a | n/a | n/a | n/a | landmark not found |
| Firefox 67 PC | MSAA / IA2: accRole: form |
landmark not found | landmark found | n/a | n/a | n/a |
| Firefox 66.0.5 Android 8.1 | ??? | n/a | n/a | n/a | n/a | landmark not found |
| Edge (pre-chromium) | UIA: Localized Control type: form |
landmark found (R key) | landmark found ( D key) | n/a | landmark found ( D key) | n/a |
| Edge (chromium) | dev tools - role: form | landmark not found | landmark found |
landmark not found | n/a | n/a |
| IE11 | MSAA: accRole: grouping UIA: currentAriaRole: form |
landmark not found | landmark found | n/a | n/a | n/a |
| Browser / OS | Browser Exposes | JAWS | NVDA | VoiceOver | Narrator | TalkBack |
|---|---|---|---|---|---|---|
| Safari 12.1 macOS 10.14.4 | role: AXGroup dev tools - role: form |
n/a | n/a | landmark not found | n/a | n/a |
| Safari 12.2 iOS | ??? | n/a | n/a | landmark not found | n/a | n/a |
| Chrome 74 macOS 10.14.4 | dev tools - role: form | n/a | n/a | landmark not found | n/a | n/a |
| Chrome 74 PC | MSAA / IA2: accRole: form | landmark not found | landmark found | n/a | n/a | n/a |
| Chrome 74 Android 8.1 | ??? | n/a | n/a | n/a | n/a | landmark not found |
| Firefox 67 PC | MSAA / IA2: accRole: form | landmark not found | landmark found | n/a | n/a | n/a |
| Firefox 66.0.5 Android 8.1 | ??? | n/a | n/a | n/a | n/a | landmark not found |
| Edge (pre-chromium) | UIA: Localized Control type: form |
landmark found (R key) | landmark found ( D key) | n/a | landmark found ( D key) | n/a |
| Edge (chromium) | dev tools - role: form | landmark not found | landmark found | landmark not found | n/a | n/a |
| IE11 | MSAA: accRole: grouping UIA: currentAriaRole: form |
landmark not found | landmark found | n/a | n/a | n/a |
| Browser / OS | Browser Exposes | JAWS | NVDA | VoiceOver | Narrator | TalkBack |
|---|---|---|---|---|---|---|
| Safari 12.1 macOS 10.14.4 | role: AXGroup dev tools - role: form, label: test label |
n/a | n/a | landmark not found | n/a | n/a |
| Safari 12.2 iOS | ??? | n/a | n/a | landmark not found | n/a | n/a |
| Chrome 74 macOS 10.14.4 | dev tools - role: form, name: test label | n/a | n/a | landmark not found | n/a | n/a |
| Chrome 74 PC | MSAA / IA2: accRole: form | landmark found | landmark found | n/a | n/a | n/a |
| Chrome 74 Android 8.1 | ??? | n/a | n/a | n/a | n/a | landmark not found |
| Firefox 67 PC | MSAA / IA2: accRole: form | landmark found | landmark found | n/a | n/a | n/a |
| Firefox 66.0.5 Android 8.1 | ??? | n/a | n/a | n/a | n/a | landmark not found |
| Edge (pre-chromium) | UIA: Localized Control type: form |
landmark found (R key) | landmark found ( D key) | n/a | landmark found ( D key) | n/a |
| Edge (chromium) | dev tools - role: form, name: test label | landmark found | landmark found | landmark not found | n/a | n/a |
| IE11 | MSAA: accRole: grouping UIA: currentAriaRole: form |
landmark found | landmark found | n/a | n/a | n/a |
| Browser / OS | Browser Exposes | JAWS | NVDA | VoiceOver | Narrator | TalkBack |
|---|---|---|---|---|---|---|
| Safari 12.1 macOS 10.14.4 | AXGroup dev tools - role: form, label: test label 2 |
n/a | n/a | landmark not found | n/a | n/a |
| Safari 12.2 iOS | ??? | n/a | n/a | landmark not found | n/a | n/a |
| Chrome 74 macOS 10.14.4 | dev tools - role: form, name: test label 2 | n/a | n/a | landmark not found | n/a | n/a |
| Chrome 74 PC | MSAA / IA2: accRole: form | landmark found | landmark found | n/a | n/a | n/a |
| Chrome 74 Android 8.1 | ??? | n/a | n/a | n/a | n/a | landmark not found |
| Firefox 67 PC | MSAA / IA2: accRole: form | landmark found | landmark found | n/a | n/a | n/a |
| Firefox 66.0.5 Android 8.1 | ??? | n/a | n/a | n/a | n/a | landmark not found |
| Edge (pre-chromium) | UIA: Localized Control type: form |
landmark found (R key) | landmark found ( D key) | n/a | landmark found ( D key) | n/a |
| Edge (chromium) | dev tools - role: form, name: test label 2 | landmark found | landmark found | landmark not found | n/a | n/a |
| IE11 | MSAA: accRole: grouping UIA: currentAriaRole: form |
landmark found | landmark found | n/a | n/a | n/a |
| Browser / OS | Browser Exposes | JAWS | NVDA | VoiceOver | Narrator | TalkBack |
|---|---|---|---|---|---|---|
| Safari 12.1 macOS 10.14.4 | AXGroup dev tools - role: form (default) |
n/a | n/a | landmark not found | n/a | n/a |
| Safari 12.2 iOS | ??? | n/a | n/a | landmark not found | n/a | n/a |
| Chrome 74 macOS 10.14.4 | dev tools - role: form | n/a | n/a | landmark not found | n/a | n/a |
| Chrome 74 PC | MSAA / IA2: accRole: form | landmark not found | landmark not found | n/a | n/a | n/a |
| Chrome 74 Android 8.1 | ??? | n/a | n/a | n/a | n/a | landmark not found |
| Firefox 67 PC | MSAA / IA2: accRole: form | landmark not found | landmark not found | n/a | n/a | n/a |
| Firefox 66.0.5 Android 8.1 | ??? | n/a | n/a | n/a | n/a | landmark not found |
| Edge (pre-chromium) | UIA: Localized Control type: group |
landmark found (R key) | landmark found ( D key) |
n/a | landmark found ( D key) |
n/a |
| Edge (chromium) | dev tools - role: form | landmark not found | landmark not found | landmark not found | n/a | n/a |
| IE11 | MSAA: accRole: text UIA: currentAriaRole: none |
landmark not found | landmark not found | n/a | n/a | n/a |
| Browser / OS | Browser Exposes | JAWS | NVDA | VoiceOver | Narrator | TalkBack |
|---|---|---|---|---|---|---|
| Safari 12.1 macOS 10.14.4 | AXGroup dev tools - role: form (default), label: text label 3 |
n/a | n/a | landmark not found | n/a | n/a |
| Safari 12.2 iOS | ??? | n/a | n/a | landmark not found | n/a | n/a |
| Chrome 74 macOS 10.14.4 | dev tools - role: form, label: text label 3 | n/a | n/a | landmark not found | n/a | n/a |
| Chrome 74 PC | MSAA / IA2: accRole: form | landmark not found | landmark not found | n/a | n/a | n/a |
| Chrome 74 Android 8.1 | ??? | n/a | n/a | n/a | n/a | landmark not found |
| Firefox 67 PC | MSAA / IA2: accRole: form | landmark found | landmark found | n/a | n/a | n/a |
| Firefox 66.0.5 Android 8.1 | ??? | n/a | n/a | n/a | n/a | landmark not found |
| Edge (pre-chromium) | UIA: Localized Control type: group |
landmark found (R key) | landmark found ( D key) | n/a | landmark found ( D key) | n/a |
| Edge (chromium) | dev tools - role: form, label: text label 3 | landmark not found | landmark not found | landmark not found | n/a | n/a |
| IE11 | MSAA: accRole: grouping UIA: currentAriaRole: none |
landmark not found | landmark not found | n/a | n/a | n/a |


Why we dismissed Atiku’s petition against Buhari – Supreme Court
by The Eagle OnlineThe Supreme Court has described the claim by the presidential candidate of the Peoples Democratic Party, Alhaji Atiku Abubakar, in the just concluded presidential election as heresy.The Court also ruled that Abubakar’s legal team failed to prove the existence of a server of the Independent National Electoral Commission as stated in their petition.The Court said President Muhammadu Buhari was right not to have submitted his academic credentials to the Independent National Electoral Commission.The court, while giving reason for dismissing the appeal by the PDP and Abubakar held that Buhari was eminently qualified to contest the last presidential election.The court held that contrary to claim by the appellants, no law requires a candidate to submit his/her academic certificates to INEC before being allowed to stand for any election.
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Python Variable-Types
Variables are nothing but reserved memory locations to store values. This means that when you create a variable you reserve some space in memory.
Based on the data type of a variable, the interpreter allocates memory and decides what can be stored in the reserved memory. Therefore, by assigning different data types to variables, you can store integers, decimals or characters in these variables.
Assigning Values to Variables
Python variables do not need explicit declaration to reserve memory space. The declaration happens automatically when you assign a value to a variable. The equal sign (=) is used to assign values to variables.
The operand to the left of the = operator is the name of the variable and the operand to the right of the = operator is the value stored in the variable. For example −
#!/usr/bin/python counter = 100 # An integer assignment miles = 1000.0 # A floating point name = "John" # A string print counter print miles print name
Here, 100, 1000.0 and "John" are the values assigned to counter, miles, and name variables, respectively. This produces the following result −
100 1000.0 John
Multiple Assignment
Python allows you to assign a single value to several variables simultaneously. For example −
a = b = c = 1
Here, an integer object is created with the value 1, and all three variables are assigned to the same memory location. You can also assign multiple objects to multiple variables. For example −
a,b,c = 1,2,"john"
Here, two integer objects with values 1 and 2 are assigned to variables a and b respectively, and one string object with the value "john" is assigned to the variable c.
Standard Data Types
The data stored in memory can be of many types. For example, a person's age is stored as a numeric value and his or her address is stored as alphanumeric characters. Python has various standard data types that are used to define the operations possible on them and the storage method for each of them.
Python has five standard data types −
- Numbers
- String
- List
- Tuple
- Dictionary
Python Numbers
Number data types store numeric values. Number objects are created when you assign a value to them. For example −
var1 = 1 var2 = 10
You can also delete the reference to a number object by using the del statement. The syntax of the del statement is −
del var1[,var2[,var3[....,varN]]]]
You can delete a single object or multiple objects by using the del statement. For example −
del var del var_a, var_b
Python supports four different numerical types −
- int (signed integers)
- long (long integers, they can also be represented in octal and hexadecimal)
- float (floating point real values)
- complex (complex numbers)
Examples
Here are some examples of numbers −
| int | long | float | complex |
|---|---|---|---|
| 10 | 51924361L | 0.0 | 3.14j |
| 100 | -0x19323L | 15.20 | 45.j |
| -786 | 0122L | -21.9 | 9.322e-36j |
| 080 | 0xDEFABCECBDAECBFBAEl | 32.3+e18 | .876j |
| -0490 |<PHONE_NUMBER>43L | -90. | -.6545+0J |
| -0x260 | -052318172735L | -32.54e100 | 3e+26J |
| 0x69 | -4721885298529L | 70.2-E12 | 4.53e-7j |
-
Python allows you to use a lowercase l with long, but it is recommended that you use only an uppercase L to avoid confusion with the number 1. Python displays long integers with an uppercase L.
-
A complex number consists of an ordered pair of real floating-point numbers denoted by x + yj, where x and y are the real numbers and j is the imaginary unit.
Python Strings
Strings in Python are identified as a contiguous set of characters represented in the quotation marks. Python allows for either pairs of single or double quotes. Subsets of strings can be taken using the slice operator ([ ] and [:] ) with indexes starting at 0 in the beginning of the string and working their way from -1 at the end.
The plus (+) sign is the string concatenation operator and the asterisk (*) is the repetition operator. For example −
#!/usr/bin/python str = 'Hello World!' print str # Prints complete string print str[0] # Prints first character of the string print str[2:5] # Prints characters starting from 3rd to 5th print str[2:] # Prints string starting from 3rd character print str * 2 # Prints string two times print str + "TEST" # Prints concatenated string
This will produce the following result −
Hello World! H llo llo World! Hello World!Hello World! Hello World!TEST
Python Lists
Lists are the most versatile of Python's compound data types. A list contains items separated by commas and enclosed within square brackets ([]). To some extent, lists are similar to arrays in C. One difference between them is that all the items belonging to a list can be of different data type.
The values stored in a list can be accessed using the slice operator ([ ] and [:]) with indexes starting at 0 in the beginning of the list and working their way to end -1. The plus (+) sign is the list concatenation operator, and the asterisk (*) is the repetition operator. For example −
#!/usr/bin/python list = [ 'abcd', 786 , 2.23, 'john', 70.2 ] tinylist = [123, 'john'] print list # Prints complete list print list[0] # Prints first element of the list print list[1:3] # Prints elements starting from 2nd till 4th print list[2:] # Prints elements starting from 3rd element print tinylist * 2 # Prints list two times print list + tinylist # Prints concatenated lists
This produce the following result −
['abcd', 786, 2.23, 'john', 70.200000000000003] abcd [786, 2.23] [2.23, 'john', 70.200000000000003] [123, 'john', 123, 'john'] ['abcd', 786, 2.23, 'john', 70.200000000000003, 123, 'john']
Python Tuples
A tuple is another sequence data type that is similar to the list. A tuple consists of a number of values separated by commas. Unlike lists, however, tuples are enclosed within parentheses.
The main differences between lists and tuples are: Lists are enclosed in brackets ( [ ] ) and their elements and size can be changed, while tuples are enclosed in parentheses ( ( ) ) and cannot be updated. Tuples can be thought of as read-only lists. For example −
#!/usr/bin/python tuple = ( 'abcd', 786 , 2.23, 'john', 70.2 ) tinytuple = (123, 'john') print tuple # Prints complete list print tuple[0] # Prints first element of the list print tuple[1:3] # Prints elements starting from 2nd till 3rd print tuple[2:] # Prints elements starting from 3rd element print tinytuple * 2 # Prints list two times print tuple + tinytuple # Prints concatenated lists
This produce the following result −
('abcd', 786, 2.23, 'john', 70.200000000000003) abcd (786, 2.23) (2.23, 'john', 70.200000000000003) (123, 'john', 123, 'john') ('abcd', 786, 2.23, 'john', 70.200000000000003, 123, 'john')b>
The following code is invalid with tuple, because we attempted to update a tuple, which is not allowed. Similar case is possible with lists −
#!/usr/bin/python tuple = ( 'abcd', 786 , 2.23, 'john', 70.2 ) list = [ 'abcd', 786 , 2.23, 'john', 70.2 ] tuple[2] = 1000 # Invalid syntax with tuple list[2] = 1000 # Valid syntax with list
Python Dictionary
Python's dictionaries are kind of hash table type. They work like associative arrays or hashes found in Perl and consist of key-value pairs. A dictionary key can be almost any Python type, but are usually numbers or strings. Values, on the other hand, can be any arbitrary Python object.
Dictionaries are enclosed by curly braces ({ }) and values can be assigned and accessed using square braces ([]). For example −
#!/usr/bin/python dict = {} dict['one'] = "This is one" dict[2] = "This is two" tinydict = {'name': 'john','code':6734, 'dept': 'sales'} print dict['one'] # Prints value for 'one' key print dict[2] # Prints value for 2 key print tinydict # Prints complete dictionary print tinydict.keys() # Prints all the keys print tinydict.values() # Prints all the values
This produce the following result −
This is one This is two {'dept': 'sales', 'code': 6734, 'name': 'john'} ['dept', 'code', 'name'] ['sales', 6734, 'john']
Dictionaries have no concept of order among elements. It is incorrect to say that the elements are "out of order"; they are simply unordered.
Data Type Conversion
Sometimes, you may need to perform conversions between the built-in types. To convert between types, you simply use the type name as a function.
There are several built-in functions to perform conversion from one data type to another. These functions return a new object representing the converted value.
| Sr.No. | Function & Description |
|---|---|
| 1 |
int(x [,base]) Converts x to an integer. base specifies the base if x is a string. |
| 2 |
long(x [,base] ) Converts x to a long integer. base specifies the base if x is a string. |
| 3 |
float(x) Converts x to a floating-point number. |
| 4 |
complex(real [,imag]) Creates a complex number. |
| 5 |
str(x) Converts object x to a string representation. |
| 6 |
repr(x) Converts object x to an expression string. |
| 7 |
eval(str) Evaluates a string and returns an object. |
| 8 |
tuple(s) Converts s to a tuple. |
| 9 |
list(s) Converts s to a list. |
| 10 |
set(s) Converts s to a set. |
| 11 |
dict(d) Creates a dictionary. d must be a sequence of (key,value) tuples. |
| 12 |
frozenset(s) Converts s to a frozen set. |
| 13 |
chr(x) Converts an integer to a character. |
| 14 |
unichr(x) Converts an integer to a Unicode character. |
| 15 |
ord(x) Converts a single character to its integer value. |
| 16 |
hex(x) Converts an integer to a hexadecimal string. |
| 17 |
oct(x) Converts an integer to an octal string. |


| Name: MRS.NAGA SHARMILA | Reg No: 017-3SMHC19 |
|---|---|
| Age / Sex:41/F | Contact No:8105302659 |
| Marital Status:ML- 13 YEARS | Date:20/3/19 |
| Occupation:HOUSEWIFE. INTER | Dr. PJFP |
Address: NATIVE MADANAPALLE. |
DIAGNOSIS- |
SINCE MENARCHE OVERBLEEDING. ANAMEIC. LIPS PALE. FUNGAL INFECTION, WORMS IN MOTION, CRAVINGS LIKE MUSTARD AND RAW RICE.
2013 GOT PREGNANCY CONFIRMED BUT BABY NOT DEVELOPED. SINCE THEN CONTINOUS BLEEDING WHEN URINATING. GETS PERIOD ALSO FREQUENTLY.
NOT ABLE TO CONCEIVE. TOOK AYURVEDIC TREATMENT. GOT PREGNANT BUT SPONTANEOUS ABORTION 45 DAYS LATER. UNABLE TO SUSTAIN.
HAD FELON AND BOILS AFTER TAKING SOME HORMONE ALLO RX 2017.
2 TIMES ABORTION ON THE WHOLE.
GUM BOILS, ROUGHNESS ON SKIN,
MILK AGG – VOMITING SENSATION. BUT LIKES. CHILDHOOD USE TO DRINK RAW MILK DIRECT FROM THE COW. MILK PRODUCTS AGG.
RX:
SILICEA1M/TUBERCULINUM1M – 4-4-4-4 2 WEEKS ONCE 4 DAYS.
ACID PHOS200 /FERR ARS200 – PILLS. 4-0-4 A/FOOD
RUB 30 – 1 TAB NIGHT B/FOOD.
AVENA Q – 15-15-15 DROPS A/FOOD.
NAT PHOS 12X 4-4-4.
20/4/19: lmp: 6/4/19. Got 40 days later. Yesterday felt light bleeding. Back pain a lot. Legs calf muscle pain. unable to flex. Getting crack sounds. Morning on waking cant drink water. Wants cool. Fan also unable to tolerate. Wants cool. Before menarche and childhood didn’t want cold much. Use to feel abdomen hot now its not there. Spotting and mild bleeding. Black blood. Feeling better than before. Legs pain. hairfall. Wt: 42 kg.
Rx:
Sulphur200 – 1 dose.
ACID PHOS200 /china 200 – PILLS. 4-0-4 A/FOOD
Yellow tabs 30 – 1 TAB NIGHT B/FOOD.
Alfalfa Q – 15-15-15 DROPS A/FOOD.
Homoeocal 2-2-2-2.
SILICEA1M/TUBERCULINUM1M – 4-4-4-4 2 WEEKS ONCE 4 DAYS
21/5/19: period din come. Lmp: 6th april 19. 3 days had lot of work still could work not like before. Burning during coition. Able to tolerate milk now. Not nauseating like before. Gum boils mildly there but lots reduced. Roughness also reduced. Nails better. When sleeping her extremities are shivering. Hot abdomen also reduced.
Rx:
ACID PHOS200 /ferr ars 200 – PILLS. 4-0-4 A/FOOD
Yellow tabs (y-lax) 30 – 1 TAB NIGHT B/FOOD.
Homoeocal 2-2-2.
SILICEA1M/TUBERCULINUM1M – 4-4-4-4 2 WEEKS ONCE 4 DAYS
Lachesis 200 – 1dose – pl 5 doses 1 dose 2 hourly wait for 3 days and call me.
28/6/19: lmp: 23/6/19. Wt: 43.4kg. hairfall better by 20%. When applying oil hairfall more. Period still 20% going on. Roughness of hands by 70%. Shivering reduced by50%. Hot abdomen better by 70%. Coition interest 80% improvement. Burning also reduced by 80%. Constipation if eats food like snack items. feels like phlegm is forming if eats more milk. Pain in hands and legs reduced. Numbness in teeth gums. < when rest. In childhood never use to talk now she feels she talks excessively.
Rx:
ACID PHOS200 /ferr ars 200 – PILLS. 4-0-4 A/FOOD
Sodhari 2-2-2 tsp a/food
Janosia ashoka/abroma – 15-0-15 drops
Puls1m – july 3rdaftn b/brush water.
July 7th – carcinosin 1m – 1-1-1.
Folliculinum1m – night 1 dose till 10 days.
Syphilinum1m – 1 dose mng. B.brush
Vit a/e….
27/07/19: lmp: 20/07/19. 8th day today but mild bleeding now. Now lot of pain in the abdomen and legs. 50% of the earlier severity she got pain. Legs alos pulling. In winter she feels not free motion. Hard motion. Tips of the fingers are cracked like before same. Sleep not so good. If eats rice in the night feels sleepless. Rt side eyelid feels twitching at times. Smtimes left also. Wt: 43.4kg.
Rx:
ACID PHOS1m /ferr ars 1m/china 200 – PILLS. 4-mng b/FOOD
Sil 1m – 1 dose.
Janosia ashoka/abroma – 15-0-15 drops a/food water.
Puls1m – july 30rdaftn b/brush water.
Aug7th – carcinosin 1m – 1-1-1.
Folliculinum1m – night 1 dose till 10 days.from
Sulphur 1m – 1 dose mng. Now..
Lecithin 30 – disc 4-0-4 b/food.
Rub 30 – 1 tab night b/food
Mag phos 30 – 4 pills sos cramps and pain.
Cimicifuga 200 pain menses with mag phos 30


Demystifying Natural Neural Networks
May 23, 2017
Demystifying Natural Neural Networks
Thomas George
[1] introduced a reparametrization for feedforward neural networks that gives a huge improvement in performance for optimizing neural networks. In this blog note I will summarize the main idea and introduce a new notation that clarifies the centering trick used in the paper.
The FIM in the context of the Natural Gradient
Fisher Information Matrix
The Fisher information matrix (FIM) is a tool well used in statistics. In the context of machine learning, and in particular deep learning, we use its inverse as a preconditioner for the gradient descent algorithm. In this section, we show how the FIM can be derived from the KL divergence and how we get a better “natural” gradient using this information. Let us first recall the definition of the KL divergence for 2 distributions and :
It is a non-negative quantity that looks like a measure of how much differs from . In particular, when . Note that it is not symmetric, so it can not directly be used as a metric.
The idea of the natural gradient is to use the KL divergence as a regularizer when doing gradient descent. We will denote by a parametric model and a change in its parameter values. is used as our regularizer, so that each change gives the same change in the distribution space. Instead of using the full expression for we will use its second order Taylor series around (for full derivation see for instance [3]):
This expression exhibits the FIM which can now be used directly as a regularizer.
(Natural) gradient descent
The usual gradient descent algorithm can be formulated as the minimization of the following expression:
We use the notation for the expectation of the loss function over the distribution of the data. This expression can be easily solved giving the expression . The parameter is the inverse of the learning rate, and controls how much each parameter can change. We will now add a new regularizer using the FIM, and transform the minimization problem into:
We now constrain our gradient step to be small in term of change of parameter values, and also to be small in term of how much the resulting distribution changes. This expression can be solved to give . This expression also gives an insight for the role of and , which control 2 different but related quantities expressed by our constraints. This new update is called the natural gradient.
Factorizing the FIM for neural networks
An expression for the FIM using jacobians
Interestingly, for the usual distributions expressed by neural networks, the FIM takes the following simple form as shown by [3]:
The values for are drawn from the data generating distribution . The notation is used for the jacobian of the output of the network (i.e. the probability expressed at a given : ), with respect to the parameters. In other words, it measures how much the output of the network will change for a given if we change the parameters. is a diagonal matrix with non negative diagonal terms, and depends of the cost function used. For the quadratic loss it is the identity.
Approximations to the FIM
The FIM is difficult to compute because of its size ( ) and because in general we do not have an expression for but only samples from a training dataset.
A first approximation that we can make is by ignoring the interactions between layers. In this case the FIM takes the form of a block diagonal matrix, where each block is a square matrix which has the size of the parameters of a layer. For a neural network with layers this reduces the FIM into smaller matrices. We will denote by the block corresponding to layer .
A second common approximation we make in practice is to use the empirical FIM for a training dataset of examples : .
Factorization of the s using the Kronecker product
In the rest of this note, we will restrict our analysis to a multilayer perceptron. Each layer is parametrized using a weight matrix of size and a bias vector of size . A layer consists in a linear transformation and a non-linearity to give the hidden representation of the next layer:
We will focus on a single layer, and drop the subscript . In the following, we will also focus on a single example in the expectation for the FIM. Each individual example has its own jacobian with respect to the parameter. In other words, this jacobian measures how the output of the network changes for this example, if you move the parameter values.
The jacobians for parameters and are obtained using the chain rule for derivation: and . The jacobian for the bias simplifies as . For the weight matrix, it is a little bit more tricky. As is a matrix and not a vector, we can not express a jacobian matrix directly. We will have to make use of the Kronecker product and the operator. We start from the linear relation and remark that since is a vector. We can now make use of the formula to obtain:
Putting everything together we get the jacobians:
Now imagine that we stack all parameters and in a vector . We get the full jacobian by stacking the jacobians:
From this expression we can finally express the FIM in a factorized form:
In this expression, remember that all 3 variables , and have a different value for each individual example. The FIM is the sum of the contributions of each example. The use of the Kronecker product permits splitting the contribution of each example in a term that involves the input of the layer and a term that involves the jacobian received on the output of the linear transformation .
KFAC
[2] use a simplification of the FIM that drastically reduce the computation required for inverting it. Remember that even if we consider a block diagonal approximation of the FIM, each block still has size . We need to invert this block, and the operation of inverting a square matrix is . They propose the following approximation:
The Kronecker product has the nice property that for 2 invertible square matrices and , . It follows that inverting the FIM now requires inverting 2 smaller matrices. However the approximation they use is questionable, and they show some interesting experimental results.
Natural Neural Networks
[1] exploit the same factorization ↓ but only consider the term involving the input of the linear transformation ( ). They propose a reparametrization that will make equal the identity. To this view, they change the original linear transformation to become:
is the new weight matrix and are the new biases. is the mean value for and is the square root of the inverse covariance of , defined by , denoted by . and are not trained using gradient descent but instead they are estimated using data from the training set.
Our new parameters and are trained using gradient descent, which will now have the desired property. We will denote by our new “effective” input to the linear transformation induced by the weight matrix . Let us first remark that , so the new input is centered on average. A second remark is that . By construction cancels out the covariance. Wrapping everything together we thus have the desired property that:
The FIM for our new reparametrization thus has a better form, and they also show experimentally that this method is very efficient, and that by amortizing the cost of inverting the covariance matrix over several parameter updates, it can be faster that standard SGD.
Conclusion
In this blog note we showed the path from the intuituion behind using the FIM as a preconditioner for gradient descent, to 2 recent algorithms that use the FIM. We also introduced the complete form for the FIM, also including the bias, which in the best of our knowledge has not been explicited in any publication at this time.
We think that the FIM or other similar preconditioners, and their factorizations, will open a new serie of algorithms to optimize neural networks, that will help make progress in artificial intelligence tasks.
References
[1] : “Natural neural networks”, Advances in Neural Information Processing Systems, pp. 2071—2079, 2015.
[2] : “Optimizing Neural Networks with Kronecker-factored Approximate Curvature.”, ICML, pp. 2408—2417, 2015.
[3] : “Revisiting natural gradient for deep networks”, arXiv preprint arXiv:1301.3584, 2013.


If someone asks for a G&T, ask what type of gin. Also ask if they would like two as part of the deal, by showing the miniatures to the passenger when you ask the question.
Susan Jones
If someone asks for a G&T, ask what type of gin. Also ask if they would like two as part of the deal, by showing the miniatures to the passenger when you ask the question.
Susan Jones
If someone asks for a G&T, ask what type of gin. Also ask if they would like two as part of the deal, by showing the miniatures to the passenger when you ask the question.
Susan Jones


?^ew
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botanical
¨ARDÛ**
NEW
YORK
BOTANICAL
GARDEN
01498401
Collected
by
Bro.
Basilio
A.
Lavastre
May
21,
1966
6
7
8
9
10
The
New
York
copyright
reserved
botanical
Garden
HERBARIUM
OF
THE
NEW
YORK
BDTANICAL
GARDEN
plants
df
Dominican
Republic
no.
2090
Kama
jamaicensis
L.
Decumbent,
flowers
white.
Uuayacanes
Beach.
The
University
of
Texas
at
Arlington
Nama
jamaicense
L.
John
D.
Bacon
1984
01498401
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


I've been playing with the low-write Raspberri Pi image of emoncms (emonSD-13-08-14.img.zip) for a few weeks now and found that time sensitive feeds such as Power->kWh are corrupted with huge negative numbers after a reboot of the Pi, be it graceful or otherwise.
What I have discovered is this is due to the system time always resetting to 1970 on reboot as the pi doesn't have a RTC and the feedwriter service manages to start and begin processing data before ntp grabs the current time from the network. My home installation which is connected by wired Ethernet seems to be immune to this for the most part, but my work setup connects by wifi and everytime I reboot I end up with corrupted kWh feeds.
I noticed a file called fake-hwclock.data in ~/data which contains a date and time close to what the current time actually is. A bit more digging revealed fake-hwclock is setup as a service which should run when the pi boots and update the date and time with the contents of that file, it also runs as a cron job every hour and updates ~/data/fake-hwclock with the current date and time, it is also executed when you shutdown or reboot.
The framework all seemed to be in place for this to work, but it wasn't it doing its job on bootup. The problem appears to be in /etc/init.d/fake-hwclock
The line
# Default-Start: S
needs to be changed to read
# Default-Start: 2 3 4 5
Then run the following commands to update the startup rc?.d folders with the new settings.
$ sudo update-rc.d -f fake-hwclock remove
$ sudo update-rc.d fake-hwclock defaults
I temporarily disabled ntp and did some testing and after every reboot the system would come up with the time only being about 1 min behind time, just the duration of the system rebooting. Such a small change in time over a couple of samples until ntp picks up the correct time won't introduce a noticeable error to the kWh feeds like 40 odd years will!
I'd found a few threads on here where people had experienced the feeds corrupting, whilst what I offer here doesn't provide a solution for a "now broken" feed with bad data, at least it provides a means to hopefully prevent anything breaking in future.
Re: kWh feeds corrupted after Raspberry Pi reboot - prevention
Hi Bradley
Good to aee another approach to tackling this issue, there is a "Read-only image time issues" thread on this with an alternative fix. The issue is as you say, the npt not getting the time before starting other processes but the actual cause is that fake-hwclock is unreachable (at that point in time) via the symlinked data partition copy.
Your fix above changes the order of things at boot where as "ntp-backup" tackles the problem by putting fake-hwclock back where it was intended to be to correct the start-up timing and directly tackles the read-only issue the relocation was intended to fix by managing the read-only status when the current time needs to be saved to fake-hwclock.
There usually is more than one way to skin the preverbal cat but a small advantage of the "ntp-backup" is that it's unlikely to get overwritten by a future update to ntp or fake-hwclock as the fix is an add-on' rather than edits and relocations.
As it doesn't use the data partition it is also portable for any raspbian image rather than just the emonSD-13-08-14.img.zip and incidentally opens up the future possibility of not having the 3rd data partition until enoncms is enabled which would fix another "quirk" of that SD card image by making "raspi-config expand SD file system" available to the many users not running emoncms locally.
Paul
Re: kWh feeds corrupted after Raspberry Pi reboot - prevention
Hi Paul,
Yes, it was only shortly after posting my "fix" I discovered your thread listed above and subsequently ntp-backup. I learnt a lot working through the issues to get my fix working but the points you put forward about ntp-backup make it much more appealing and as such I plan on installing it. I also used the instructions in that thread of yours to re-zero my kWh feeds using manual .json entries through a web browser which was very convenient. A big thanks for your work.


Officials deny plans for new city in California desert
RIVERSIDE, Calif. (AP) - Officials have quashed plans to build a new city called Paradise Valley on the southern edge of Joshua Tree National Park in the Southern California desert.
The Riverside County Board of Supervisors voted unanimously Tuesday to accept its Planning Commission’s recommendation and deny the project without continuance.
The Desert Sun newspaper reports the decision is a victory for conservationists and residents who voiced concerns about sprawl in the inland region east of Los Angeles.
It’s a blow to GLC Enterprises, which had been trying to get approval for Paradise Valley for 15 years. The developer envisioned a community with 8,5000 homes and 1.3 million square feet (121,000 square meters) of space for commercial and civic uses.
Supporters say it would have created jobs and $5 million in annual tax revenue.
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TOBS shows you the most important information about your system in an
instant using comprehensible charts. With customizable options like
refreshrate, dark- and light mode, drag- and drop alignment of the
charts and some more, you can make Tobs your very own experience.
What TOBS can do
Currently, Tobs is able to monitor CPU, RAM, Disk, Network and GPU*
usage.
It nicely displays all the data received from the
components in a great looking interface.


XML_GREP
Section: User Contributed Perl Documentation (1)Updated: 2009-11-10
Index Return to Main Contents
NAME
xml_grep - grep XML files looking for specific elementsSYNOPSYS
xml_grep [options] <file list>
or
xml_grep <xpath expression> <file list>
By default you can just give "xml_grep" an XPath expression and a list of files, and get an XML file with the result.
This is equivalent to writing
xml_grep --group_by_file file --pretty_print indented --cond <file list>
OPTIONS
- --help
- brief help message
- --man
- full documentation
- --Version
- display the tool version
- --root <cond>
-
look for and return xml chunks matching <cond>
if neither "--root" nor "--file" are used then the element(s) that trigger the "--cond" option is (are) used. If "--cond" is not used then all elements matching the <cond> are returned
several "--root" can be provided
- --cond <cond>
-
return the chunks (or file names) only if they contain elements matching <cond>
several "--cond" can be provided (in which case they are OR'ed)
- --files
-
return only file names (do not generate an XML output)
usage of this option precludes using any of the options that define the XML output: "--roots", "--encoding", "--wrap", "--group_by_file" or "--pretty_print"
- --count
-
return only the number of matches in each file
usage of this option precludes using any of the options that define the XML output: "--roots", "--encoding", "--wrap", "--group_by_file" or "--pretty_print"
- --strict
- without this option parsing errors are reported to STDOUT and the file skipped
- --date
-
when on (by default) the wrapping element get a "date" attribute that gives
the date the tool was run.
with "--nodate" this attribute is not added, which can be useful if you need to compare 2 runs.
- --encoding <enc>
- encoding of the xml output (utf-8 by default)
- --nb_results <nb>
- output only <nb> results
- --wrap <tag>
-
wrap the xml result in the provided tag (defaults to 'xml_grep')
If wrap is set to an empty string ("--wrap ''") then the xml result is not wrapped at all.
- --nowrap
- same as using "--wrap ''": the xml result is not wrapped.
- --descr <string>
- attributes of the wrap tag (defaults to "version="<VERSION>" date="<date>"")
- --group_by_file <optional_tag>
-
wrap results for each files into a separate element. By default that element
is named "file". It has an attribute named "filename" that gives the name of the
file.
the short version of this option is -g
- --exclude <condition>
-
same as using "-v" in grep: the elements that match the condition are excluded
from the result, the input file(s) is (are) otherwise unchanged
the short form of this option is -v
- --pretty_print <optional_style>
-
pretty print the output using XML::Twig styles ('"indented"', '"record"'
or '"record_c"' are probably what you are looking for)
if the option is used but no style is given then '"indented"' is used
short form for this arggument is -s
- --text_only
- Displays the text of the results, one by line.
Condition Syntax
<cond> is an XPath-like expression as allowed by XML::Twig to trigger handlers.
exemples:
'para'
'para[@compact=``compact'']'
'*[@urgent]'
'*[@urgent=``1'']'
'para[string()=``WARNING'']'
see XML::Twig for a more complete description of the <cond> syntax
options are processedby Getopt::Long so they can start with '-' or '--' and can be abbreviated ("-r" instead of "--root" for example)
DESCRIPTION
xml_grep does a grep on XML files. Instead of using regular expressions it uses XPath expressions (in fact the subset of XPath supported by XML::Twig)the results can be the names of the files or XML elements containing matching elements.
SEE ALSO
XML::Twig Getopt::LongLICENSE
This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself.AUTHOR
Michel Rodriguez<EMAIL_ADDRESS>Index
This document was created by man2html, using the manual pages.
Time: 05:29:12 GMT, December 24, 2015


| 1 |
Mandal_2015 |
Proteomic Analysis of the Vitreous following Experimental Retinal Detachment in Rabbits |
Mandal, Nakul; Lewis, Geoffrey P.; Fisher, Steven K.; Heegaard, Steffen; Prause, Jan U.; la Cour, Morten; Vorum, Henrik; Honoré, Bent |
2015 |
2015-11-18 |
COMM-USE |
N |
PMC4667062 |
26664739.0 |
10.1155/2015/583040 |
s5otdtwq |
0.804887 |
|
|
| 2 |
Goichon_2015 |
Enteral delivery of proteins enhances the expression of proteins involved in the cytoskeleton and protein biosynthesis in human duodenal mucosa |
Goichon, Alexis; Bertrand, Julien; Chan, Philippe; Lecleire, Stéphane; Coquard, Aude; Cailleux, Anne-Françoise; Vaudry, David; Déchelotte, Pierre; Coëffier, Moïse |
2015 |
2015-06-24 |
PMC |
N |
PMC7109707 |
26109581.0 |
10.3945/ajcn.114.104216 |
mc104zm0 |
0.787767 |
Wang_2007 |
|
| 3 |
Lin_K_2015 |
Comparative proteomic analysis of cauliflower under high temperature and flooding stresses |
Lin, K.H.; Chen, L.F.O.; Li, S.D.; Lo, H.F. |
2015 |
2015-02-12 |
PMC |
N |
PMC7116940 |
|
10.1016/j.scienta.2014.12.013 |
hcf7gsv8 |
0.713222 |
Wang_2007, Haasnoot_2010, Trobaugh_2017 |
Thibivilliers_2009 |
| 4 |
Yang_2017 |
iTRAQ-based Proteomic Analysis of Porcine Kidney Epithelial PK15 cells Infected with Pseudorabies virus |
Yang, Songbai; Pei, Yue; Zhao, Ayong |
2017 |
2017-04-04 |
COMM-USE |
N |
PMC5379687 |
28374783.0 |
10.1038/srep45922 |
zbur2kdm |
0.646064 |
Trobaugh_2017, Haasnoot_2010 |
Ding_2012 |
| 5 |
Chen_2014 |
Proteomics Analysis of the DF-1 Chicken Fibroblasts Infected with Avian Reovirus Strain S1133 |
Chen, Wen-Ting; Wu, Yi-Le; Chen, Ting; Cheng, Chao-Sheng; Chan, Hong-Lin; Chou, Hsiu-Chuan; Chen, Yi-Wen; Yin, Hsien-Sheng |
2014 |
2014-03-25 |
COMM-USE |
N |
PMC3965424 |
24667214.0 |
10.1371/journal.pone.0092154 |
r3unya2l |
0.584078 |
Trobaugh_2017, Haasnoot_2010, Herbert_2016 |
Ding_2012 |
| 6 |
Thanthrige-Don_2009 |
Analyses of the spleen proteome of chickens infected with Marek's disease virus |
Thanthrige-Don, Niroshan; Abdul-Careem, Mohamed F.; Shack, L. Allen; Burgess, Shane C.; Sharif, Shayan |
2009 |
2009-08-01 |
PMC |
N |
PMC7103390 |
19540544.0 |
10.1016/j.virol.2009.05.020 |
tpqf458q |
0.575908 |
Trobaugh_2017, Haasnoot_2010 |
Xue_M_2017, Ding_2012, Chen_2014 |
| 7 |
Xue_M_2017 |
Analysis of the spleen proteome of chickens infected with reticuloendotheliosis virus |
Xue, Mei; Zhao, Yan; Hu, Shunlei; Shi, Xingming; Cui, Hongyu; Wang, Yunfeng |
2017 |
2017-01-17 |
COMM-USE |
N |
PMC5387025 |
28097424.0 |
10.1007/s00705-016-3180-5 |
56ocrlfl |
0.575492 |
Trobaugh_2017, Haasnoot_2010 |
Thanthrige-Don_2009 |
| 8 |
Zhang_2013 |
Identification of cellular proteome using two-dimensional difference gel electrophoresis in ST cells infected with transmissible gastroenteritis coronavirus |
Zhang, Xin; Shi, Hong-Yan; Chen, Jian-Fei; Shi, Da; Lang, Hong-Wu; Wang, Zhong-Tian; Feng, Li |
2013 |
2013-07-16 |
COMM-USE |
N |
PMC3734006 |
23855489.0 |
10.1186/1477-5956-11-31 |
pml9r5nd |
0.567527 |
Trobaugh_2017, Haasnoot_2010 |
Ding_2012 |
| 9 |
Lee_S_2015 |
Functional characterization and proteomic analysis of the nucleocapsid protein of porcine deltacoronavirus |
Lee, Sunhee; Lee, Changhee |
2015 |
2015-10-02 |
PMC |
N |
PMC7114568 |
26103099.0 |
10.1016/j.virusres.2015.06.013 |
32bxx94u |
0.559557 |
Trobaugh_2017, Haasnoot_2010, Wang_2007 |
|
| 10 |
Ouyang_2017 |
Proteomic Analysis of Chicken Skeletal Muscle during Embryonic Development |
Ouyang, Hongjia; Wang, Zhijun; Chen, Xiaolan; Yu, Jiao; Li, Zhenhui; Nie, Qinghua |
2017 |
2017-05-08 |
COMM-USE |
N |
PMC5420592 |
28533755.0 |
10.3389/fphys.2017.00281 |
c7cmo49k |
0.549106 |
Wang_2007, Trobaugh_2017, Haasnoot_2010 |
Cao_Z_2011, Zhang_2015, Li_J_2019, Ding_2012 |
| 11 |
Cao_Z_2012 |
Proteomics analysis of differentially expressed proteins in chicken trachea and kidney after infection with the highly virulent and attenuated coronavirus infectious bronchitis virus in vivo |
Cao, Zhongzan; Han, Zongxi; Shao, Yuhao; Liu, Xiaoli; Sun, Junfeng; Yu, Demin; Kong, Xiangang; Liu, Shengwang |
2012 |
2012-03-31 |
COMM-USE |
N |
PMC3342233 |
22463732.0 |
10.1186/1477-5956-10-24 |
mdky6rdx |
0.543596 |
Trobaugh_2017 |
Cao_Z_2011, Ding_2012 |
| 12 |
Zhao_2010 |
Proteomic analysis of primary duck hepatocytes infected with duck hepatitis B virus |
Zhao, Yanfeng; Ben, Haijing; Qu, Su; Zhou, Xinwen; Yan, Liang; Xu, Bin; Zhou, Shuangcheng; Lou, Qiang; Ye, Rong; Zhou, Tianlun; Yang, Pengyuan; Qu, Di |
2010 |
2010-06-07 |
COMM-USE |
N |
PMC2904733 |
20529248.0 |
10.1186/1477-5956-8-28 |
u6jy6w1m |
0.531897 |
Trobaugh_2017 |
|
| 13 |
Bian_2019 |
iTRAQ-based high-throughput proteomics analysis reveals alterations of plasma proteins in patients infected with human bocavirus |
Bian, Junmei; Liang, Min; Ding, Shuxian; Wang, Liyan; Ni, Wenchang; Xiong, Shisi; Li, Wan; Bao, Xingxing; Gao, Xue; Wang, Rong |
2019 |
2019-11-21 |
COMM-USE |
N |
PMC6872134 |
31751365.0 |
10.1371/journal.pone.0225261 |
635cq3z9 |
0.502755 |
Trobaugh_2017, Haasnoot_2010 |
|
| 14 |
Li_Z_2016 |
Comparative Proteome Analysis of Porcine Jejunum Tissues in Response to a Virulent Strain of Porcine Epidemic Diarrhea Virus and Its Attenuated Strain |
Li, Zhonghua; Chen, Fangzhou; Ye, Shiyi; Guo, Xiaozhen; Muhanmmad Memon, Atta; Wu, Meizhou; He, Qigai |
2016 |
2016-11-29 |
COMM-USE |
N |
PMC5192384 |
27916855.0 |
10.3390/v8120323 |
uuy2y0eu |
0.496177 |
Trobaugh_2017, Haasnoot_2010 |
|
| 15 |
YANG_2009 |
Comparative Proteomic Analysis of Plasma from Clinical Healthy Cows and Mastitic Cows |
YANG, Yong-xin; ZHAO, Xing-xu; ZHANG, Yong |
2009 |
2009-10-31 |
PMC |
N |
PMC7129881 |
|
10.1016/s1671-2927(08)60337-5 |
7aflpgxd |
0.489997 |
Wang_2007, Wang_2009 |
Ding_2012 |
| 16 |
Han_K_2016 |
Quantitative Proteomic Analysis of Duck Ovarian Follicles Infected with Duck Tembusu Virus by Label-Free LC-MS |
Han, Kaikai; Zhao, Dongmin; Liu, Yuzhuo; Liu, Qingtao; Huang, Xinmei; Yang, Jing; An, Fengjiao; Li, Yin |
2016 |
2016-03-31 |
COMM-USE |
N |
PMC4815560 |
27066001.0 |
10.3389/fmicb.2016.00463 |
gkpm5qf5 |
0.489653 |
Trobaugh_2017, Haasnoot_2010 |
Ding_2012, Cao_Z_2011 |
| 17 |
Ji_T_2014 |
Proteomics analysis reveals protein expression differences for hypopharyngeal gland activity in the honeybee, Apis mellifera carnica Pollmann |
Ji, Ting; Liu, Zhenguo; Shen, Jie; Shen, Fang; Liang, Qin; Wu, Liming; Chen, Guohong; Corona, Miguel |
2014 |
2014-08-08 |
COMM-USE |
N |
PMC4141115 |
25103401.0 |
10.1186/1471-2164-15-665 |
o456qdjb |
0.475494 |
Wang_2007, Haasnoot_2010 |
Jeswin_2016, Thibivilliers_2009 |
| 18 |
Jeon_2011 |
Network Clustering Revealed the Systemic Alterations of Mitochondrial Protein Expression |
Jeon, Jouhyun; Jeong, Jae Hoon; Baek, Je-Hyun; Koo, Hyun-Jung; Park, Wook-Ha; Yang, Jae-Seong; Yu, Myeong-Hee; Kim, Sanguk; Pak, Youngmi Kim |
2011 |
2011-06-30 |
COMM-USE |
N |
PMC3127811 |
21738461.0 |
10.1371/journal.pcbi.1002093 |
9egy68c0 |
0.473289 |
Trobaugh_2017, Haasnoot_2010, Wang_2007 |
Trypsteen_2016 |
| 19 |
Xiong_2016 |
Differential expression analysis of the broiler tracheal proteins responsible for the immune response and muscle contraction induced by high concentration of ammonia using iTRAQ-coupled 2D LC-MS/MS |
Xiong, Yan; Tang, Xiangfang; Meng, Qingshi; Zhang, Hongfu |
2016 |
2016-10-17 |
COMM-USE |
N |
PMC7089013 |
27761697.0 |
10.1007/s11427-016-0202-8 |
6sivggy0 |
0.453431 |
Haasnoot_2010, Wang_2007, Trobaugh_2017 |
Cao_Z_2011, Yang_2017, Chen_2009 |
| 20 |
Du_J_2016 |
Proteomic analysis of sheep primary testicular cells infected with bluetongue virus |
Du, Junzheng; Xing, Shanshan; Tian, Zhancheng; Gao, Shandian; Xie, Junren; Chang, Huiyun; Liu, Guangyuan; Luo, Jianxun; Yin, Hong |
2016 |
2016-04-13 |
PMC |
N |
PMC7168089 |
26989863.0 |
10.1002/pmic.201500275 |
slybrok6 |
0.447782 |
Trobaugh_2017, Haasnoot_2010 |
|
| 21 |
Wan_W_2019 |
A Subcellular Quantitative Proteomic Analysis of Herpes Simplex Virus Type 1-Infected HEK 293T Cells |
Wan, Weiwei; Wang, Liangjie; Chen, Xi; Zhu, Shenglin; Shang, Weijuan; Xiao, Gengfu; Zhang, Lei-Ke |
2019 |
2019-11-20 |
COMM-USE |
N |
PMC6930547 |
31757042.0 |
10.3390/molecules24234215 |
r7m1x239 |
0.431398 |
|
|
| 22 |
Cao_Z_2011 |
Proteomic analysis of chicken embryonic trachea and kidney tissues after infection in ovo by avian infectious bronchitis coronavirus |
Cao, Zhongzan; Han, Zongxi; Shao, Yuhao; Geng, Heyuan; Kong, Xiangang; Liu, Shengwang |
2011 |
2011-03-08 |
COMM-USE |
N |
PMC3060854 |
21385394.0 |
10.1186/1477-5956-9-11 |
6io780dm |
0.429719 |
Trobaugh_2017 |
Ding_2012 |
| 23 |
Ding_2012 |
Proteomic alteration of Marc-145 cells and PAMs after infection by porcine reproductive and respiratory syndrome virus |
Ding, Zhuang; Li, Zhi-jie; Zhang, Xiao-dong; Li, Ya-gang; Liu, Chang-jun; Zhang, Yan-Ping; Li, Yang |
2012 |
2012-01-15 |
PMC |
N |
PMC7112595 |
22137209.0 |
10.1016/j.vetimm.2011.11.005 |
7vdvi0me |
0.412327 |
Trobaugh_2017, Haasnoot_2010 |
|
| 24 |
Zhang_2019 |
Global profiling of megalocytivirus-induced proteins in tongue sole (Cynoglossus semilaevis) spleen identifies cellular processes essential to viral infection |
Zhang, Jian; Sun, Li |
2019 |
2019-03-31 |
PMC |
N |
PMC7102559 |
30428365.0 |
10.1016/j.dci.2018.11.006 |
wje65e92 |
0.410111 |
Trobaugh_2017, Herbert_2016 |
Ding_2012 |
| 25 |
Ren_Y_2017 |
Detection of Nuclear Protein Profile Changes by Human Metapneumovirus M2-2 Protein Using Quantitative Differential Proteomics |
Ren, Yuping; Choi, Eunjin; Zhang, Ke; Chen, Yu; Ye, Sha; Deng, Xiaoling; Zhang, Kangling; Bao, Xiaoyong |
2017 |
2017-12-03 |
COMM-USE |
N |
PMC5748611 |
29207503.0 |
10.3390/vaccines5040045 |
bmdnqgvu |
0.407736 |
Trobaugh_2017, Haasnoot_2010 |
Ding_2012 |
| 26 |
Zeng_2015 |
Proteome analysis of porcine epidemic diarrhea virus (PEDV)‐infected Vero cells |
Zeng, Songlin; Zhang, Huan; Ding, Zhen; Luo, Rui; An, Kang; Liu, Lianzeng; Bi, Jing; Chen, Huanchun; Xiao, Shaobo; Fang, Liurong |
2015 |
2015-03-09 |
PMC |
N |
PMC7167732 |
25604190.0 |
10.1002/pmic.201400458 |
qc7umdxz |
0.400054 |
Trobaugh_2017, Haasnoot_2010, Herbert_2016 |
|
| 27 |
Jeswin_2016 |
Proteomic analysis by iTRAQ in red claw crayfish, Cherax quadricarinatus, hematopoietic tissue cells post white spot syndrome virus infection |
Jeswin, Joseph; Xie, Xiao-lu; Ji, Qiao-lin; Wang, Ke-jian; Liu, Hai-peng |
2016 |
2016-03-31 |
PMC |
N |
PMC7111676 |
26845698.0 |
10.1016/j.fsi.2016.01.035 |
upsn0zb4 |
0.372323 |
Trobaugh_2017 |
Yang_2017 |
| 28 |
Tong_2017 |
Quantitative Analysis of Cellular Proteome Alterations in CDV-Infected Mink Lung Epithelial Cells |
Tong, Mingwei; Yi, Li; Sun, Na; Cheng, Yuening; Cao, Zhigang; Wang, Jianke; Li, Shuang; Lin, Peng; Sun, Yaru; Cheng, Shipeng |
2017 |
2017-12-22 |
COMM-USE |
N |
PMC5743685 |
29312244.0 |
10.3389/fmicb.2017.02564 |
mu9jt1ul |
0.351639 |
Trobaugh_2017 |
Ding_2012 |
| 29 |
Ma_R_2014 |
Proteome Profile of Swine Testicular Cells Infected with Porcine Transmissible Gastroenteritis Coronavirus |
Ma, Ruili; Zhang, Yanming; Liu, Haiquan; Ning, Pengbo |
2014 |
2014-10-21 |
COMM-USE |
N |
PMC4204940 |
25333634.0 |
10.1371/journal.pone.0110647 |
llnqzkqt |
0.349516 |
Trobaugh_2017, Haasnoot_2010 |
Ding_2012 |
| 30 |
Huang_2018 |
Ubiquitin–Proteasome System Is Required for Efficient Replication of Singapore Grouper Iridovirus |
Huang, Xiaohong; Wei, Shina; Ni, Songwei; Huang, Youhua; Qin, Qiwei |
2018 |
2018-11-26 |
COMM-USE |
N |
PMC6275174 |
30534113.0 |
10.3389/fmicb.2018.02798 |
nypzyx8x |
0.331493 |
Trobaugh_2017 |
|


Rob Gronkowski Makes Final Decision On His Playing Career & Whether He’s Coming Back In 2019 (VIDEO)
by Darrelle LincolnFormer New England Patriots tight end Rob Gronkowski has been rumored for months that he might once again suit up and play for his former team, even teasing a big announcement last week that had nothing to do with him being on the field.
That turned out to be him planning a huge Super Bowl party in South Beach.
On Sunday, the future hall of famer confirmed to his co-workers that he won’t be returning in 2019.
Tom Brady is sure to not like this, as New England tight ends have combined for 23 receptions in 10 games this season.


[OgreKit Lua] |
Methods
| ArrayIterator.constructor | |
| ArrayIterator.hasMoreElements | |
| ArrayIterator.moveNext | |
| ArrayIterator.peekNext | |
| ArrayIterator.getNext |
Creates an empty iterator.
Returns true if more iterations are present.
Advances to the next iteration.
Returns the next iteration, without advancing.
Returns the current iteration, and advances to the next.


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Preparation time
30 mins to 1 hour
Cooking time
30 mins to 1 hour
Serves
Serves 4
Preheat the oven to 180C/356F/Gas 4. For the bream, with a sharp knife slice the skin side of each fillet, at ¾-inch intervals. Do not cut too deeply.
Push a mint leaf into each of the cuts.
Heat an ovenproof frying pan on stove and add the oil and butter. Add the garlic clove (do not allow to burn).
Season the fish with salt and pepper and lay in the pan, skin-side down, and cook until golden, for about three to four minutes.
Using a fish slice, carefully turn the fillets, then place in the preheated oven to finish cooking, for about four minutes.
Remove from oven and discard the garlic clove and squeeze over the lemon juice.
For the garlic mash, cut the potatoes into even-sized pieces. Place in a large saucepan and cover with cold water. Add a little salt and bring to the boil. When boiling, add the garlic.
Reduce the heat and simmer for 20 minutes until the potatoes are cooked and tender. Drain in a colander.
Place the butter and cream in a saucepan and heat on stove until the butter has melted. Mash the potato and garlic, beat in the cream and butter and season with nutmeg and salt and pepper.
For the fricassée, bring pan of lightly salted water to the boil and blanch the broad beans for two to three minutes. Remove from the water with a slotted spoon and refresh in cold iced water.
Repeat the process with the podded peas in the same boiling water, then refresh in another bowl of iced water. Peel the blanched broad beans and add them to the peas.
Put 150ml of the water that you cooked the peas and beans in into a clean saucepan. Add the garlic and shallot and simmer gently for about five minutes. Drain the peas and beans and add to the pan. Pour in the cream. Heat and simmer through gently.
Roughly chop the mint leaves and stir in along with the salt and pepper, lemon juice and nutmeg to taste.
To serve, spoon a dollop of mash onto a plate, top with the fish fillet and spoon around the mint and olive oil mixture. Sprinkle the fish with a little coarse sea salt.


Shakedeal
ShakeDeal is a leading B2B commerce platform for procurement of business & Industrial
supplies. ShakeDeal is looking to
transform the traditional procurement practice by bringing an online approach to
businesses looking for price advantage,
discover-ability, and strategic sourcing. ShakeDeal is built for businesses. We
differentiate ourselves by providing a
product to manage typical B2B nature of transactions, customized pricing, enabling
omnichannel solutions for business
buying.


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Services growth accelerates to 1.3%
Portugal’s turnover in services increased by 1.3 percent in September, year on year, accelerating from the rise of 1 percent in the previous month.
According to Statistics Portugal (INE), the aggregate growth of the turnover index in services was particularly influenced by the performance of the transport and storage sector, with a year-on-year growth of 6.4 percent, above the 5.3 percent increase in the previous month.
Information and communication activities increased by 4.2 percent, against 0.3 percent in the previous month, while the wholesale trade, trade and repair of motor vehicles and motorcycles went from a decrease of 0.1 percent in August to a growth of 0.3 percent in September.
In the third quarter of this year, turnover in services grew 1.4 percent year-on-year, down from 1.9 percent in the previous quarter.


Malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip.
Exa commodo consequat.Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas.
More aboutWhen I was just starting 6th grade I got my first job. Paperboy! Boy, was I excited. At that time I had spent a lot of time actually playing the video official game Paperboy disked.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip. You would need to research online, for newspapers that are in your area.
When I was just starting 6th grade I got my first job. Paperboy! Boy, was I excited. At that time I had spent a lot of time actually playing the video official game Paperboy disked.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip.
When I was just starting 6th grade I got my first job. Paperboy! Boy, was I excited. At that time I had spent a lot of time actually playing the video official game Paperboy disked.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip. You would need to research online, for newspapers that are in your area.
When I was just starting 6th grade I got my first job. Paperboy! Boy, was I excited. At that time I had spent a lot of time actually playing the video official game Paperboy disked.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi utad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip.
When I was just starting 6th grade I got my first job. Paperboy! Boy, was I excited. At that time I had spent a lot of time actually playing the video official game Paperboy disked.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip. You would need to research online, for newspapers that are in your area.


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Profile Service¶
Often IdentityServer requires identity information about users when creating tokens or when handling requests to the userinfo or introspection endpoints. By default, IdentityServer only has the claims in the authentication cookie to draw upon for this identity data.
It is impractical to put all of the possible claims needed for users into the cookie, so IdentityServer defines an extensibility point for allowing claims to be dynamically loaded as needed for a user.
This extensibility point is the IProfileService
and it is common for a developer to implement this interface to access a custom database or API that contains the identity data for users.
IProfileService APIs¶
GetProfileDataAsync
- The API that is expected to load claims for a user. It is passed an instance of
ProfileDataRequestContext
. IsActiveAsync
- The API that is expected to indicate if a user is currently allowed to obtain tokens. It is passed an instance of
IsActiveContext
.
ProfileDataRequestContext¶
Models the request for user claims and is the vehicle to return those claims. It contains these properties:
Subject
- The
ClaimsPrincipal
modeling the user. Client
- The
Client
for which the claims are being requested. RequestedClaimTypes
- The collection of claim types being requested.
Caller
- An identifier for the context in which the claims are being requested (e.g. an identity token, an access token, or the user info endpoint). The constant
IdentityServerConstants.ProfileDataCallers
contains the different constant values. IssuedClaims
- The list of
Claim
s that will be returned. This is expected to be populated by the customIProfileService
implementation. AddRequestedClaims
- Extension method on the
ProfileDataRequestContext
to populate theIssuedClaims
, but first filters the claims based onRequestedClaimTypes
.
Requested scopes and claims mapping¶
The scopes requested by the client control what user claims are returned in the tokens to the client.
The GetProfileDataAsync
method is responsible for dynamically obtaining those claims based on the RequestedClaimTypes
collection on the ProfileDataRequestContext
.
The RequestedClaimTypes
collection is populated based on the user claims defined on the resources that model the scopes.
If the scopes requested are an identity resources, then the claims in the RequestedClaimTypes
will be populated based on the user claim types defined in the IdentityResource
.
If the scopes requested are an API resources, then the claims in the RequestedClaimTypes
will be populated based on the user claim types defined in the ApiResource
and/or the Scope
.
IsActiveContext¶
Models the request to determine is the user is currently allowed to obtain tokens. It contains these properties:
Subject
- The
ClaimsPrincipal
modeling the user. Client
- The
Client
for which the claims are being requested. Caller
- An identifier for the context in which the claims are being requested (e.g. an identity token, an access token, or the user info endpoint). The constant
IdentityServerConstants.ProfileDataCallers
contains the different constant values. IsActive
- The flag indicating if the user is allowed to obtain tokens. This is expected to be assigned by the custom
IProfileService
implementation.


Title is required.
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--- layout: post authors: ["Greg Wilson"] title: "rOpenSci Unconference in March 2015" date: 2015-02-02 time: "14:00:00" tags: ["rOpenSci"] ---
The good folks at rOpenSci have just announced that their second annual unconference (which will actually be more like an unhackathon) is happening at GitHub's headquarters in San Francisco in March 2015. They're also hosting a Data Science Social on March 26 - please see their site for details.


--- layout: page title: Projects description: Projects in my portfolio. group: navigation group_sort: 2 permalink: projects/ extra_css: /assets/css/projects.css --- {% include JB/setup %}


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java.lang.Object org.jnetpcap.util.resolver.AbstractResolver
public abstract class AbstractResolver
Default adaptor class for Resovler interface. This abstract class provides the default caching mechanism for positive and negative resolver lookups. It also provides a timeout mechanism to time out lookup results.
| Nested Class Summary |
|---|
| Nested classes/interfaces inherited from interface org.jnetpcap.util.resolver.Resolver |
|---|
Resolver.ResolverType |
| Field Summary | |
|---|---|
protected static long |
INFINITE_TIMEOUT
Timeout of 5 years. |
protected java.util.logging.Logger |
logger
Logger is supplied from subclass. |
| Fields inherited from interface org.jnetpcap.util.resolver.Resolver |
|---|
RESOLVER_SEARCH_PATH_PROPERTY |
| Constructor Summary | |
|---|---|
AbstractResolver(java.util.logging.Logger logger,
Resolver.ResolverType type)
Instantiates a new abstract resolver. |
|
AbstractResolver(java.util.logging.Logger logger,
java.lang.String name)
Instantiates a new abstract resolver. |
| Method Summary | |
|---|---|
void |
addToCache(long hash,
java.lang.String name)
Adds the to cache. |
void |
addToCache(long hash,
java.lang.String name,
long timeout)
Adds the to cache. |
boolean |
canBeResolved(byte[] address)
Can be resolved. |
void |
clearCache()
Clear cache and timeout queues. |
protected void |
finalize()
Finalize. |
int |
getCacheCapacity()
Gets the just an initial map size. |
float |
getCacheLoadFactor()
Gets the cache load factor. |
long |
getNegativeTimeout()
Gets the when failed to resolve to a name, store the failure information in cache and set the negative hit timeout. |
long |
getPositiveTimeout()
Gets the resolved to a name. |
protected boolean |
hasCacheFile()
Checks for cache file. |
void |
initializeIfNeeded()
Called by JRegistry when resolver when it is being retrieved. |
boolean |
isCached(byte[] address)
Checks if is cached. |
int |
loadCache()
Load cache entries using default mechanism. |
int |
loadCache(java.lang.String file)
Load cache entries from file. |
int |
loadCache(java.net.URL url)
Load cache. |
void |
propertyChange(java.beans.PropertyChangeEvent evt)
Property change. |
java.lang.String |
resolve(byte[] address)
Resolve. |
protected abstract java.lang.String |
resolveToName(byte[] address,
long hash)
Resolves an address to a name. |
protected abstract java.lang.String |
resolveToName(long number,
long hash)
Resolves number to a name. |
int |
saveCache()
Save the cache using default mechanism, if set. |
int |
saveCache(java.lang.String file)
Save the cache to file. |
void |
setCacheCapacity(int cacheCapacity)
Sets the just an initial map size. |
void |
setCacheLoadFactor(float cacheLoadFactor)
Sets the cache load factor. |
void |
setNegativeTimeout(long negativeTimeout)
Sets the when failed to resolve to a name, store the failure information in cache and set the negative hit timeout. |
void |
setPositiveTimeout(long positiveTimeout)
Sets the resolved to a name. |
protected abstract long |
toHashCode(byte[] address)
To hash code. |
protected long |
toHashCode(long number)
To hash code. |
java.lang.String |
toString()
To string. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
|---|
protected static final long INFINITE_TIMEOUT
protected final java.util.logging.Logger logger
| Constructor Detail |
|---|
public AbstractResolver(java.util.logging.Logger logger, Resolver.ResolverType type)
logger
- the loggertype
- the typepublic AbstractResolver(java.util.logging.Logger logger, java.lang.String name)
logger
- the loggername
- the name| Method Detail |
|---|
public void addToCache(long hash, java.lang.String name)
hash
- the hashname
- the namepublic void addToCache(long hash, java.lang.String name, long timeout)
hash
- the hashname
- the nametimeout
- the timeoutpublic boolean canBeResolved(byte[] address)
canBeResolved
in interface Resolver
address
- the address
Resolver.canBeResolved(byte[])
public void clearCache()
clearCache
in interface Resolver
protected void finalize() throws java.lang.Throwable
finalize
in class java.lang.Object
java.lang.Throwable
- the throwableObject.finalize()
public final int getCacheCapacity()
public final float getCacheLoadFactor()
public final long getNegativeTimeout()
public final long getPositiveTimeout()
protected boolean hasCacheFile()
public void initializeIfNeeded()
initializeIfNeeded
in interface Resolver
public boolean isCached(byte[] address)
isCached
in interface Resolver
address
- the address
Resolver.isCached(byte[])
public int loadCache() throws java.io.IOException
java.io.IOException
- Signals that an I/O exception has occurred.public int loadCache(java.lang.String file) throws java.io.IOException
file
- file to load cache entries from
java.io.IOException
- any IO errorspublic int loadCache(java.net.URL url) throws java.io.IOException
loadCache
in interface Resolver
url
- the url
java.io.IOException
- Signals that an I/O exception has occurred.Resolver.loadCache(java.net.URL)
public void propertyChange(java.beans.PropertyChangeEvent evt)
propertyChange
in interface java.beans.PropertyChangeListener
evt
- the evtPropertyChangeListener.propertyChange(java.beans.PropertyChangeEvent)
public final java.lang.String resolve(byte[] address)
resolve
in interface Resolver
address
- the address
Resolver.resolve(byte[])
protected abstract java.lang.String resolveToName(byte[] address, long hash)
address
- address to resolvehash
- computed hash code for the address, identifies the address
uniquely
protected abstract java.lang.String resolveToName(long number, long hash)
number
- a number value to resolvehash
- computed hash code for the number, identifies the number uniquely
public int saveCache() throws java.io.IOException
saveCache
in interface Resolver
java.io.IOException
- Signals that an I/O exception has occurred.public int saveCache(java.lang.String file) throws java.io.IOException
file
- file to save to
java.io.IOException
- any IO errorspublic final void setCacheCapacity(int cacheCapacity)
cacheCapacity
- the new just an initial map sizepublic final void setCacheLoadFactor(float cacheLoadFactor)
cacheLoadFactor
- the new cache load factorpublic final void setNegativeTimeout(long negativeTimeout)
negativeTimeout
- the new when failed to resolve to a name, store the failure
information in cache and set the negative hit timeoutpublic final void setPositiveTimeout(long positiveTimeout)
positiveTimeout
- the new resolved to a nameprotected abstract long toHashCode(byte[] address)
address
- the address
protected long toHashCode(long number)
number
- the number
public java.lang.String toString()
toString
in class java.lang.Object
Object.toString()
|
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{% extends "base.html" %} {% block title %}The Ceremony{% endblock %} {% block nav_events %}active{% endblock %} {% block content %}
The ceremony will be aboard the MV Skansonia, a retired ferry, followed by lunch, local beer, wine and Pacific Northwest merriment.
The dress is wedding, summertime-in-Seattle casual, and it will most likely not rain. But no promises. Please no children or chickens for the ceremony – we can't be sure that they won't float away.
Saturday, September 5th, 2015
12:00 – 4:00 pm (the ceremony will start at 12:30 pm)
The MV Skansonia
205 NE Northlake Way, “A” Dock
Seattle, WA 98105
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