Geode distributes a subset of cache events between distributed systems, with a minimum impact on each system’s performance. Events are distributed only for regions that you configure to use a gateway sender for distribution.
Queuing Events for Distribution
In regions that are configured with one or more gateway senders (gateway-sender-ids
attribute), events are automatically added to a gateway sender queue for distribution to other sites. Events that are placed in a gateway sender queue are distributed asynchronously to remote sites. For serial gateway queues, the ordering of events sent between sites can be preserved using the order-policy
attribute.
If a queue becomes too full, it is overflowed to disk to keep the member from running out of memory. You can optionally configure the queue to be persisted to disk (with the enable-persistence
gateway-sender
attribute). With persistence, if the member that manages the queue goes down, the member picks up where it left off after it restarts.
Operation Distribution from a Gateway Sender
The multi-site installation is designed for minimal impact on distributed system performance, so only the farthest-reaching entry operations are distributed between sites.
These operations are distributed:
- entry create
- entry put
- entry distributed destroy, providing the operation is not an expiration action
These operations are not distributed:
- get
- invalidate
- local destroy
- expiration actions of any kind
- region operations
How a Gateway Sender Processes Its Queue
Each primary gateway sender contains a processor thread that reads messages from the queue, batches them, and distributes the batches to a gateway receiver in a remote site. To process the queue, a gateway sender thread takes the following actions:
- Reads messages from the queue
- Creates a batch of the messages
- Synchronously distributes the batch to the other site and waits for a reply
- Removes the batch from the queue after the other site has successfully replied
Because the batch is not removed from the queue until after the other site has replied, the message cannot get lost. On the other hand, in this mode a message could be processed more than once. If a site goes offline in the middle of processing a batch of messages, then that same batch will be sent again once the site is back online.
You can configure the batch size for messages as well as the batch time interval settings. A gateway sender processes a batch of messages from the queue when either the batch size or the time interval is reached. In an active network, it is likely that the batch size will be reached before the time interval. In an idle network, the time interval will most likely be reached before the batch size. This may result in some network latency that corresponds to the time interval.
How a Gateway Sender Handles Batch Processing Failure
Exceptions can occur at different points during batch processing:
- The gateway receiver could fail with acknowledgment. If processing fails while the gateway receiver is processing a batch, the receiver replies with a failure acknowledgment that contains the exception, including the identity of the message that failed, and the ID of the last message that it successfully processed. The gateway sender then removes the successfully processed messages and the failed message from the queue and logs an exception with the failed message information. The sender then continues processing the messages remaining in the queue.
- The gateway receiver can fail without acknowledgment. If the gateway receiver does not acknowledge a sent batch, the gateway sender does not know which messages were successfully processed. In this case the gateway sender re-sends the entire batch.
- No gateway receivers may be available for processing. If a batch processing exception occurs because there are no remote gateway receivers available, then the batch remains in the queue. The gateway sender waits for a time, and then attempts to re-send the batch. The time period between attempts is five seconds. The existing server monitor continuously attempts to connect to the gateway receiver, so that a connection can be made and queue processing can continue. Messages build up in the queue and possibly overflow to disk while waiting for the connection.


Biographical Information Real Name : Strategic Homeland Intervention Enforcement Logistics Division Administrators: Nick Fury Spider-Man (temporary) Phil Coulson Curt Connors Taskmaster (formerly) Agents: Captain America Wolverine (formerly) Hawkeye Iron Man Thor Hulk Deadpool (formerly) Spider-Man White Tiger Iron Fist Nova Power Man Amanda Cage (Scientist) Walter Cage (Scientist) Black Widow Falcon Status: Active Affiliations: The Avengers Media Information First appearance: Great Power


Jiggyape now requires you to login to the app using your google account. This is due to changes in Youtubes API. Jiggyape is still free!


--- layout: archive title: Zulip Chat Archive permalink: /stream/116395-maths/topic/group.20actions.html ---
Does mathlib know anything about group actions? Say just a group acting on a set?
I think @Kenny Lau formalised group actions at some point. But not sure if it is in mathlib.
https://github.com/kckennylau/category-theory/blob/master/src/group_action.lean
I proved orbit stabiliser annd burnside
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


System Architect Symbol details for "Timepoint Valued Qualifier"
Category Valued Qualifier (Class)
- Description:
"Phenomenon Qualifier" with a value defined by a "Value Category".
- Comment:
See "Value Category" for typical values.
Image Valued Qualifier (Class)
- Description:
"Phenomenon Qualifier" having a value represented by an image.
- Comment:
-
The image may be video or audio and may be static or moving. Examples would include:
Scans
X rays
Videos of colposcopies etc
Recordings of sounds or conversations.
- Definitions Used:
-
Image (Class Attribute)
Measured Qualifier (Class)
- Description:
"Phenomenon Qualifier" with a declared value defined as a number.
- Comment:
An example would be "25%" as the extent of burn damage.
- Definitions Used:
-
numeric value (Class Attribute)
Phenomenon Qualifier (Class)
- Description:
Extension or modification of a "Subject Phenomenon" or another "Phenomenon Qualifier".
PhenQ/Value Type (Generalization Node)
- Base Class:
"Phenomenon Qualifier"
Text Valued Qualifier (Class)
- Description:
"Phenomenon Qualifier" having a value expressed by a text string.
- Comment:
The string may be structured or unstructured. Examples include pathology and radiology reports,
unstructured assessments as well as amplification and addenda to phenomena or qualifiers with other
values. For example, an Image Valued Qualifier containing an X-ray image may be qualified by a
report from the radiologist.
- Definitions Used:
-
Text (Class Attribute)
Timepoint (Class)
- Description:
"Reference Point" being a point or period in time.
Timepoint Valued Qualifier (Class)
- Description:
"Phenomenon Qualifier" whose value is specified by a "Timepoint"
- Comment:
For example: date from which the severity of a condition changed.
value (Association)
- From Class:
Timepoint
- To Class:
"Timepoint Valued Qualifier"
- From Class:
Timepoint
- To Class:
"Timepoint Valued Qualifier"


You can test on the tool below, the sidebar on the right (on desktop) or the bar on the bottom (on mobile).
Any inline tool specifying a share URL using the share-url attribute will not be effected by this.
share-url
addthis_share.url === '{{currentUrl}}'


---
layout: post
title: bluetooth works
date: '2007-05-17T01:21:00.000+02:00'
author: Steven Van Acker
tags:
modified_time: '2008-01-18T10:47:38.182+01:00'
blogger_id: tag:blogger.com,1999:blog-5513234137363262204.post-5944418972771266849
blogger_orig_url: http://www.singularity.be/2007/05/bluetooth-works.html
---
For the past couple of days, I've been playing with my laptop, GSM and bluetooth.
I managed to send files from my laptop to my GSM, use my GSM as a modem and send SMS messages using my laptop.
All I need to do now, is document how I did all this :)
But since I used stuff already available in ubuntu, it shouldn't be hard to reproduce.
Maybe tomorrow...


Constructor Do not directly construct instances of this class -- use AuthInfo.create instead.
The options for the class instance
Get the auth fields (decrypted) needed to make a connection.
Get the authorization fields.
Get the SFDX Auth URL.
Get the username.
Initializes an instance of the AuthInfo class.
Returns true if this
is using an access token flow.
Returns true if this
is using the JWT flow.
Returns true if this
is using the oauth flow.
Returns true if this
is using the refresh token flow.
Returns true if this org is using access token auth.
Updates the cache and persists the authentication fields (encrypted).
New data to save.
Update the authorization fields, encrypting sensitive fields, but do not persist.
For convenience this
object is returned.
Authorization fields to update.
Encrypt the fields.
Forces the auth file to be re-read from disk for a given user. Returns true
if a value was removed.
The username for the auth info to re-read.
Asynchronously constructs and initializes a new instance of a concrete subclass with the provided options
.
An options object providing initialization params to the async constructor.
Get the authorization URL.
The options to generate the URL.
Returns true if one or more authentications are persisted.
Get a list of all auth files stored in the global directory.
Handles persistence and fetching of user authentication information using JWT, OAuth, or refresh tokens. Sets up the refresh flows that jsForce will use to keep tokens active. An AuthInfo can also be created with an access token, but AuthInfos created with access tokens can't be persisted to disk.
See Authorization
See Salesforce DX Usernames and Orgs
// Creating a new authentication file. const authInfo = await AuthInfo.create(myAdminUsername, { loginUrl, authCode, clientId, clientSecret }); authInfo.save(); // Creating an authorization info with an access token. const authInfo = await AuthInfo.create(accessToken); // Using an existing authentication file. const authInfo = await AuthInfo.create(myAdminUsername); // Using the AuthInfo const connection = await Connection.create(authInfo);


Copyright © 2020 Anatoly Rodionov
Authors: Anatoly Rodionov (anatoly.ya.rodionov@gmail.com).
This is a simple example how collection of macros for working with record field names can be used in gen_server. I found these macros useful for debugging and fast prototyping. You can find the macros in include directory.
I use #s_t record as loop data in gen_server. Suppose that only record field a is of often use. For this particular field there are special cases in handle_cast and handle_call callbacks. All other filed can be manipulated with the help of functions s_t/2 and s_t/3. You do not need to write special accessors for them.
s_t() = #s_t{a = integer(), b = integer(), c = integer(), d = integer()}
| get/1 | Gets any field from loop record. |
| handle_call/3 | |
| handle_cast/2 | |
| info/0 | Constructs map from loop record. |
| init/1 | Inits record_macros. |
| set/2 | Sets any field in loop record. |
| start/0 | Starts record_macros. |
| start_link/0 | Starts record_macros. |
get(Field::atom()) -> term()
Gets any field from loop record
handle_call(X1, From, ST) -> any()
handle_cast(X1, ST) -> any()
info() -> map()
Constructs map from loop record
init(X1::any()) -> {ok, s_t()}
Inits record_macros.
set(Field::atom(), Value::term()) -> ok
Sets any field in loop record
start() -> {ok, pid()}
Starts record_macros.
start_link() -> {ok, pid()}
Starts record_macros.
Generated by EDoc


Our Chef
Daniel hails from Austria and as he is keen to point out, so are some of the World's greatest Chefs – such as Wolfgang Puck and Eckart Witzigmann who was one of the first chefs outside of France to be awarded the coveted 3 Michelin stars.
Daniel describes his food as earthy. He doesn't like to mess with what he has and rather allows 3 or four flavor combinations to speak for themselves, rather than preparing what he calls fussy, over-inventive food.
He has been absolutely amazed and excited, since he first arrived in Cayman, with the plethora of local seafood that is available. And has worked very hard with local fisherman to develop lasting relationships to ensure he always has the pick of the freshest catch. Be it Red, black or yellow snapper, tuna or wahoo, conch or lobster. From there he says its simply a no-brainer to root yourself in Caribbean seasonings but expanded outward with more global twists on the preparations. Nor to forget the diverse talents you have in your team at your disposal.
Highly experienced with over 14 years in professional kitchens, he cut his bones in some of Austria's top Hotels including achieving the position of Sous Chef at the award winning Restaurant M32 in Salzburg as well as Executive Chef at critically acclaimed ultra modern alpine Hotel Riml, frequented by Moguls and celebrities alike.
Outside of Austria Daniel spread his culinary wings as Chef at Five Diamond hotel The Westgate in San Francisco USA; an experience he describes as invaluable and one that taught him that there's a world of culturally diverse and exciting people out there waiting and desperate to try equally exciting and innovative cuisine. He didn't disappoint.
Daniel doesn't mess around with fancy techniques. He just wants the best from his food. If you ask him what's his favorite piece of equipment is he'll tell you, "My Chef's Knife – If you don't have a decent one, just leave the kitchen and forget it because you haven't got your priorities right. I also keep it close by for when people ask me about either Lederhosen or Yodeling!" He's a bit of a joker too.
Come and meet Daniel at Osetra Bay and enjoy your evening with us.


gameData
Classes
Activity
Controller
Course
DataBase
Day
Distribution
ExponentialDistribution
GameCalendar
Item
Lecturer
Log
NormalDistribution
Player
RandomEvent
Semester
Shop
UniformDistribution
XMLhandler


Probably the longest running Sci-Fi that is constantly pushing cultural norms and shows humanity more like it should be than what it is.
While I'm not a big fan of the Origional series or the recent reboot, Next Generation and DS9 to me are some of the finest Sci-Fi shows to have ever been produced.
I'm not saying that these are without flaws, there are certainly some bits that made no sense in both of them but I really like the way the characters develop in both of them.
I don't think that there is too much more I can say about these other than that if you haven't seen them, go watch!
I did like Voyager as well, at least till the later seasons where it just got silly. Enterprise was good in parts as well, but suffered from poor writing in parts and a lack of consistancy.
Possibly the best single Sci-Fi series created. It has some quite complex plots but what really sets it apart is how the characters come alive over the course of the series.
Even characters who seem to be very minor where given proper personalities and often come into their own later in the series. A good example of that is Vir who is just a minor functionary of the Centauri republic at the start. He becomes on of the major characters later on.
Its the combination of the characters and the situations that they are put in and how they respond in which make this show so good. They really put a lot of effort into the different races and giving them their own individual characters.
One of the most recent Sci-Fi cult classics, due to lack of advertising and a poor slot, it had poor TV rating which led to it been cancelled.
However after it came out in DVD it has gained a massive following due to it's combination of humour, an excellent plot and really good characters and the interactions between the characters.
Its kinda of wild-west/sci-fi mix but its the way the characters interact that really set this show apart. There was also a film made to wrap everything up as well which is also well worth a watch.
A very dark and gritty sci-fi set at the start of a war vs an alien race known as the Chigs.
It tries to be quite a realistic portrayal of war, but deals with several issues quite clearly, for example it deals with issues of racism via a type of people called 'tanks' who are artifically bred humans who were made to fight wars instead of normal humans.
It follows the WildCards squadron from them first enlisting into the military right to becoming established and well respected vets.
Its probably not everyone's cup of tea, but features some quite good acting and is well worth a watch if you like a more serious, realistic type of sci-fi.
This is a Anime show, showing a group of gamers who basically get trapped in a VR game by a twisted game designer.
It was based on the series of light novels by the same name by Reki Kawahara.
Its more than just your normal anime as it goes quite into the psychological issues of a group of gamers who have basically been thrown into a life or death situation as they attempt to complete the game to escape.
One of my guilty pleasures, Naruto is quite a silly Anime show, its mainly intended for younger views (12+) but can be quite fun.
Its based in a fantasy world where ninjas have special Chakra based abilities which range from walking on water or up walls to hypnotising the entire world....

Its a fun inspiration tale althrough its not particually deep, its a good show to relax to.
I'm sure everyone knows about the Marvel cinematic universe. I used to read the comics as well but now they have converted them to films which I quite like.
While they do struggle with consistancy, mostly with characters like Thor who go from been extremely powerful to been quite weak depending on who he is fighting, they have done quite a good job portraying the different heros.
They do struggle with the writing and characters in places, as well as dealing with characters they can't introduce due to licensing, but overall the films are quite good and well worth a watch.
This is a medical sitcom, while centered around an Intern called JD, is as much about the other characters who surround him.
The sense of humor this show has is great althrough it can get slightly dark in places, been based in a hospital, they don't shy away from the more delicate issues of death or mental illness, some of the characters are very blunt about them without however been cruel (mostly!).
Unlike a lot of sitcoms the character progresion in this is great and all the actors perform their roles to perfection, most notably Donald Falson, John McGinley, Ken Jenkins, Zach Braff, Sarah Chalke, Neil Flynn and Judy Reyes.
This is an absolutely classic film that incorporates both an excellent story, characters and action all in one film, which few films manage to do.
While the sequels unfortunatly didn't come anywhere near the standard set by the first film, they aren't too bad on their own, but were kinda a let down after what the first film led us to expect would be coming.
Morphesus and Neo in particular were unforgottable characters who have spawned many memes about them.


46 subscribers
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30 COMMENT


发布时间：2010-6-29 18:00
分类名称：windows
By design, MFC Regular DLLs have a default DllMain function
provided automatically by MFC. Regular DLLs should not provide their own
DllMain. Any initialization which is necessary when the DLL is loaded should be
done in the InitInstance member function of the one CWinApp-derived class in
the Regular DLL. Deinitialization and termination code should go in the
ExitInstance member function. When a Regular DLL is created, the MFC
source forcibly links in the code for the source file
\Msdev\Mfc\Src\Dllmodul.cpp. Dllmodul.cpp contains most of the code added to a
Regular DLL to support MFC in that DLL. One of the most important functions in
Dllmodul.cpp is the DllMain function. NOTE: MFC CWnd objects, CDC objects, CMenu objects, GDI
objects, and CImageList objects are restricted to a per-thread, per-module
basis. In other words, MFC objects created in one module or thread cannot be
passed to and/or used in a different module or thread. This has special
relevance for any code added to handle DLL_THREAD_ATTACH or DLL_THREAD_DETACH
in DllMain because DllMain is called for these reasons with different threads.
CWnd objects, for instance, created in DllMain during DLL_PROCESS_ATTACH or in
InitInstance will not be valid during DLL_THREAD_ATTACH. ////////////////////////////////////////////////////////////////////
However, InitInstance is only called by MFC's
DllMain when a process attaches (DLL_PROCESS_ATTACH) to the DLL and
ExitInstance is called only when a process detaches (DLL_PROCESS_DETACH) from
the DLL. If it is necessary to handle thread attachment to and detachment from
(DLL_THREAD_ATTACH and DLL_THREAD_DETACH) in MFC Regular DLL, the Regular DLL
will need to provide its own DllMain. This article explains how to do it.
To add code to MFC's DllMain, copy the \Msdev\Mfc\Src\Dllmodul.cpp source file
to your project directory, and include the copy in your project. This copy of
Dllmodul.cpp will be compiled and linked into your DLL instead of the
Dllmodul.cpp in the Mfc\Src directory, so changes to the DllMain in it will
show up in the final DLL.
The primary caveat is that this is not a recommended solution and should only
be used when absolutely necessary. Any changes to the code in Dllmodul.cpp will
undoubtedly have unpredictable results. Add code only, do not remove or modify
the existing code.
For regular DLLs that use MFC in the Shared Lib, the module state should be set
at the beginning of any added code and restored before returning from DllMain.
Refer to the sample code in this article for an example of a DllMain that
handles the DLL_THREAD_ATTACH and DLL_THREAD_DETACH notifications and properly
switches the module state as necessary.
Additional care must be taken when relying on DllMain being called with
DLL_THREAD_ATTACH and DLL_THREAD_DETACH because of the following
conditions:
Sample Code
// export DllMain for the DLL
// Add code in the specified sections only.
// Remove code at your own risk.
extern "C"
BOOL WINAPI DllMain(HINSTANCE hInstance, DWORD dwReason, LPVOID
/*lpReserved*/)
{
if (dwReason == DLL_PROCESS_ATTACH)
{
// ... Code abbreviated from DLLMODUL.CPP
}
else if (dwReason ==
DLL_PROCESS_DETACH)
{
// ... Code abbreviated from DLLMODUL.CPP
}
// NEW CODE ADDED HERE
// -------------------
else if (dwReason ==
DLL_THREAD_ATTACH)
{
#ifdef _AFXDLL
// set module state
ASSERT(AfxGetThreadState()->m_pPrevModuleState == NULL);
AfxGetThreadState()->m_pPrevModuleState
=
AfxSetModuleState(AfxGetStaticModuleState());
#endif
// ADD DLL_THREAD_ATTACH CODE HERE
// Remember that this won't
necessarily be called for
// every thread in the process into
which this DLL is mapped
// Threads created by the process BEFORE the
DLL
// was loaded will not call into
DLL_THREAD_ATTACH.
#ifdef _AFXDLL
// restore previously-saved module
state
VERIFY(AfxSetModuleState(AfxGetThreadState()->m_pPrevModuleState)
==
AfxGetStaticModuleState());
DEBUG_ONLY(AfxGetThreadState()->m_pPrevModuleState = NULL);
#endif
}
else if (dwReason ==DLL_THREAD_DETACH)
{
#ifdef _AFXDLL
// set module state
ASSERT(AfxGetThreadState()->m_pPrevModuleState == NULL);
AfxGetThreadState()->m_pPrevModuleState =
AfxSetModuleState(AfxGetStaticModuleState());
#endif
// ADD DLL_THREAD_DETACH CODE HERE
#ifdef _AFXDLL
// restore previously-saved module
state
VERIFY(AfxSetModuleState(AfxGetThreadState()->m_pPrevModuleState)
== AfxGetStaticModuleState());
DEBUG_ONLY(AfxGetThreadState()->m_pPrevModuleState = NULL);
#endif
}
return TRUE;
}


Compare Areas Under Independent ROC Curves
Gives areas under independent ROC curves for groups defined by a single grouping variable, along with nonparametric asymptotic standard errors, p values for testing null hypothesis of .5 values and asymptotic confidence intervals for areas under curves. Also provides an omnibus test of equality of areas under independent ROC curves, as well as pairwise comparisons among each pair of curves, using nonparametric standard error estimates. Pairwise comparisons give differences in areas under the curves, standard errors, Z statistics, p values and confidence intervals for differences in areas. Standard errors are based on Hanley and McNeil (1982). P values and confidence intervals are not adjusted for multiple comparisons.
Reference:
Hanley, J. A., & McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143, 29-36.
Data Requirements and Operations:
The test variable must be numeric. The state variable and the grouping variable may be numeric or string. The positive test value must be a single value.
Cases are deleted if they are missing on any named variables (listwise deletion).
Split files are not allowed.
Weights are allowed, but fractional or non-integer values are truncated to integers.
Installed Menu Location:
This extension's dialog box is installed in the menus underneath Analyze>ROC.
© Copyright IBM Corp. 1989, 2014


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Our goal while programming this website is to give students in the New York Area a resource to find safe volunteer opportunities. This website will reduce the time it takes to find the right opportunity for each student. By using our NYConnect opportunity finder, students will be guided to the best volunteer job for them. We have researched and verfied all of our orgainzations to make sure the matches are safe, because a volunteer's own wellbeing is priority. We hope that by using our website, students will be led to the best opportunities for them.


We are an organization committed to watershed and ecosystem-wide restoration. Using evidence based management, and years of experience from our volunteers and programmers alike, we have developed targeted, effective approaches to improve our environment on a local level. With a solid foundation of impact and a cause we believe to be noble, we see this as an opportunity to help bring communities together as well. We believe giving our time and energy allows us to build more empathetic and mindful relationships with each, and that this act can only help to germinate a positive feedback cycle that empowers and strengthens our communities and ecosystems alike.
This site is a great resource for members of all roles to see and share progress and get connected with other members in our organization. If you have any questions or concerns related to editing, creating and deleting profiles, please feel free to contact the site administrator at<EMAIL_ADDRESS>(note: not a real email).


StringAppend
The string append function appends all the values of the specified field within the group. The field separator can be specified using operation properties. The default field separator is ','. To specify a different field separator, add operation property with name = 'filler'. The value of this property will be used as the field separator.
Key fields: The key fields for cumulate. This information is already provided using the key fields option on cumulate properties window.
Input field name: The input field which is to be appended. This information is already provided using the operation input fields option on cumulate operation editor window.
Note: Input field supports only string data type.
Output field name: The field which stores the appended string within the group. This information is already provided using the operation output fields option on cumulate operation editor window.
Note: The data type of output field is also string.


FROM: ANTHONY ELUMELU STANDARD TRUST BANK NIGERIA PLC HEAD OFFICE: STANDARD PLACE Plot 1662, Oyin Jolayemi Street Victoria Island, Lagos, Nigeria Email<EMAIL_ADDRESS>Dear Friend, My name is ANTHONY ELUMELU, the Managing Director of STANDARD TRUST BANK PLC. I am using this medium to solicite for your assistant regarding FUND TRANSFER ABROAD. At my disposal, I have an over-invoiced sum of $25m USD (Twenty Five Million United State Dollars) which can only be claim by a foreigner. This fund came as a result of over- invoiced cost of the Rehabilitation and Renovation of Passport Immigration Offices in Lagos, handled by a German Contractor WOLFGANG POHL ENGINEERING GMBH, GERMANY; and after receiving payment, the left over could only be claim by an alien citizen. Hence, I want you to make this claim so that the fund could be release to your chosen account abroad where I will join you for onward disbursement. I have all the necessary certified back-up documentations that will prove you as the ownership of the fund. You will be receiving 35% of the said fund for your assistance, 60% will be mine as the initiator of this business while 5% will be use for any expenses that may be incur as this transaction progresses either from telephone bills or fax messages. As soon as you receive this message, indicated your interest by sending me your telephone and fax number through my direct email<EMAIL_ADDRESS>for effective communication. I look forward working with you. Best regards, MR. ANTHONY ELUMELU MD (STB) Reply TO<EMAIL_ADDRESS>Please Endeavour to reply tonystb@walla.com


client/app/common/popup/welcome/welcome.controller.js
/**
* This controller manages a welcome dialog created by the `$mdDialog`
* service, which the user is presented with when the application first
* launches (if their preferences include the welcome window).
*
* It contains wrapper methods for `$mdDialog`'s injected utility methods
* (hide/cancel), as well as methods for initializing the onboard tutorial
* and syncing user settings (e.g. when user dismisses welcome dialog).
*
* @param {object} $mdDialog ng-material's dialog service
* @param {object} UserSession The current user session/settings
* @param {object} nzTour Onboard tour service
* @param {object} TOUR_STEPS Configuration of onboard tour
*/
class WelcomeController {
/**
* Initializes dialog's dependencies.
*/
constructor($mdDialog, UserSession, TOUR_STEPS, WELCOME_TIP_LIST, WELCOME_TIPS) { //nzTour,
'ngInject';
this.$mdDialog = $mdDialog;
this.UserSession = UserSession;
this.OnboardTour = () => alert('fix me!');//nzTour
this.TOUR_STEPS = TOUR_STEPS;
this.WELCOME_TIPS = WELCOME_TIPS;
this.welcomeTipsList = WELCOME_TIP_LIST;
this.currentTips = false;
}
/**
* Hides the dialog; fulfills promise.
* @return {Promise} Promise that will be fulfilled on hide
*/
hide() {
return this.$mdDialog.hide();
}
/**
* Cancels the dialog; rejects promise.
* @return {Promise} Promise that will be rejected on cancel
*/
cancel() {
return this.$mdDialog.cancel();
}
/**
* Hides the dialog, providing an answer to resolve its promise with.
* @param {string} answer The result of the dialog upon hide
* @return {Promise} Promise containing the resolved answer
*/
answer(answer) {
return this.$mdDialog.hide(answer);
}
/**
* Changes the active view of the dialog, e.g. "user tips" detail panels.
* @param {string} view The view to transition to
*/
viewTip(tip) {
console.log(this.WELCOME_TIPS[tip]);
this.currentTips = this.WELCOME_TIPS[tip];
}
nextTip() {
this.activeTip = (this.activeTip === this.currentTips.tips.length - 1) ? 0 : (this.activeTip + 1);
}
prevTip() {
this.activeTip = (this.activeTip === 0) ? this.currentTips.tips.length - 1 : (this.activeTip - 1);
}
/**
* Hides the dialog with the answer `'tour'` and begins the onboard tour
* using the `TOUR_STEPS` as a config object.
* @return {Promise} Promise representing tour completion
*/
startTour() {
this.$mdDialog.hide('tour');
return this.OnboardTour.start(this.TOUR_STEPS);
}
/**
* Performs a from»to»from assignment of user settings to force a sync
* with the setter. Ensures that the dialog's 'Do not show this message again'
* checkbox affects the user's settings.
*/
syncSettings() {
const currentSettings = this.UserSession.settings;
currentSettings.showWelcome.val = this.showWelcome;
this.UserSession.settings = currentSettings;
}
}
export default WelcomeController;


EBD - Easton Bible DIctionary
Bashan
BASHAN
"BASHAN", HILL OF (
Psalm 68:15
), probably another name for Hermon, which lies to the north of Bashan.
"BASHAN", HILL OF (Psalm 68:15), probably another name for Hermon, which lies to the north of Bashan.


The Effect of Semantic Interference on a Black Child's Reading Comprehension
By Clifford Carter
A.B. (University of San Francisco) 1970 M.A. (University of California) 1972
DISSERTATION
Gubmitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in
Education
in the GRADUATE DIVISION of the
UNIVERSITY OF CALIFORNIA, BERKELEY
wee gee by perecheieee LM eee Ste; . . , ay ,
Committee in Charge
"“~ .
e eeoeeteaeebeeeaeasseaseoeseeeestseeseseeeeaeaeensneesd


Here is a list of all file members with links to the files they belong to:
- c -
- calculateCurrentState()
: feeder_policy_drive.cpp
- callFallbackTimer()
: feeder_gmm.cpp
, feeder_sideways_1D.cpp
, feeder_straight_1D.cpp
, feeder_policy_drive.cpp
- checkLowerAngleThreshold()
: feeder_sideways.cpp
, feeder_sideways_1D.cpp
, feeder_straight.cpp
, feeder_straight_1D.cpp
, feeder_gmm.cpp
, feeder_policy_drive.cpp
- checkUpperAngleThreshold()
: feeder_straight.cpp
, feeder_straight_1D.cpp
, feeder_gmm.cpp
, feeder_policy_drive.cpp
, feeder_sideways.cpp
, feeder_sideways_1D.cpp
- cmd_pos
: feeder_gmm.cpp
, feeder_policy_drive.cpp
, feeder_position_control.cpp
, feeder_sideways.cpp
, feeder_sideways_1D.cpp
, feeder_straight.cpp
, feeder_straight_1D.cpp
, velocity_drive.cpp
- cmd_vel
: feeder_straight.cpp
, feeder_straight_1D.cpp
, velocity_drive.cpp
, feeder_policy_drive.cpp
, feeder_gmm.cpp
, feeder_position_control.cpp
, feeder_sideways.cpp
, feeder_sideways_1D.cpp
- current_joints
: velocity_test.cpp
- current_pose
: velocity_test.cpp
, feeder_gmm.cpp
, feeder_straight.cpp
, feeder_sideways_1D.cpp
, tf_caster.cpp
, position_drive.cpp
, feeder_policy_drive.cpp
, feeder_position_control.cpp
, velocity_drive.cpp
, feeder_straight_1D.cpp
, feeder_sideways.cpp
- current_step
: feeder_position_control.cpp
- currentState
: robot_control.cpp


6.2. Declaration StatementsDefining or declaring an object or a class is a statement. Definition statements are usually referred to as declaration statements although definition statement might be more accurate. We covered definitions and declarations of variables in Section 2.3 (p. 43). Class definitions were introduced in Section 2.8 (p. 63) and will be covered in more detail in Chapter 12. |


The entrance to Botany Bay is located about 8nm south of the entrance to Sydney Harbour. On the northern side of the bay is the large container port of Port Botany and also Sydney airport.
It is famous for being the site of the first landing of Captain Cook while sailing his ship, Endeavour, when exploring the Australian coast. The actual landing place is marked by a monument on the Kurnell Peninsula headland, on the southern side of the bay.
Position 34°00'24"S, 151° 14'21"E (entrance to Botany Bay)
Clearance is not possible here.
Not much is known about the yachting facilities here, but there appear to be several anchorages and small marinas.
At the western end of the bay, where the Georges River enters, there is a small marina at Sans Suci. Kogarth Bay is a good anchorage and is also the home of the Botany Bay Yacht Club and the swinging moorings rented by McKay marine.
Further along the north shore, is Shipwrights Bay which also houses a marina.
Last updated August 2013.


| 1 | /* | |
| 2 | * Licensed to the Apache Software Foundation (ASF) under one or more | |
| 3 | * contributor license agreements. See the NOTICE file distributed with | |
| 4 | * this work for additional information regarding copyright ownership. | |
| 5 | * The ASF licenses this file to You under the Apache License, Version 2.0 | |
| 6 | * (the "License"); you may not use this file except in compliance with | |
| 7 | * the License. You may obtain a copy of the License at | |
| 8 | * | |
| 9 | * http://www.apache.org/licenses/LICENSE-2.0 | |
| 10 | * | |
| 11 | * Unless required by applicable law or agreed to in writing, software | |
| 12 | * distributed under the License is distributed on an "AS IS" BASIS, | |
| 13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 14 | * See the License for the specific language governing permissions and | |
| 15 | * limitations under the License. | |
| 16 | */ | |
| 17 | package org.apache.commons.collections4.set; | |
| 18 | ||
| 19 | import java.util.Iterator; | |
| 20 | import java.util.NavigableSet; | |
| 21 | ||
| 22 | /** | |
| 23 | * Decorates another NavigableSet to provide additional behaviour. | |
| 24 | *
 | |
| 25 | * Methods are forwarded directly to the decorated set. | |
| 26 | * | |
| 27 | * @param <E> the type of the elements in the navigable set | |
| 28 | * @since 4.1 | |
| 29 | * @version $Id: AbstractNavigableSetDecorator.java 1686855 2015-06-22 13:00:27Z tn $ | |
| 30 | */ | |
| 31 | public abstract class AbstractNavigableSetDecorator<E> | |
| 32 | extends AbstractSortedSetDecorator<E> | |
| 33 | implements NavigableSet<E> { | |
| 34 | ||
| 35 | /** Serialization version */ | |
| 36 | private static final long serialVersionUID = 20150528L; | |
| 37 | ||
| 38 | /** | |
| 39 | * Constructor only used in deserialization, do not use otherwise. | |
| 40 | */ | |
| 41 | protected AbstractNavigableSetDecorator() { | |
| 42 | super(); | |
| 43 | } | |
| 44 | ||
| 45 | /** | |
| 46 | * Constructor that wraps (not copies). | |
| 47 | * | |
| 48 | * @param set the set to decorate, must not be null | |
| 49 | * @throws NullPointerException if set is null | |
| 50 | */ | |
| 51 | protected AbstractNavigableSetDecorator(final NavigableSet<E> set) { | |
| 52 | super(set); | |
| 53 | } | |
| 54 | ||
| 55 | /** | |
| 56 | * Gets the set being decorated. | |
| 57 | * | |
| 58 | * @return the decorated set | |
| 59 | */ | |
| 60 | @Override | |
| 61 | protected NavigableSet<E> decorated() { | |
| 62 |
1
1. decorated : mutated return of Object value for org/apache/commons/collections4/set/AbstractNavigableSetDecorator::decorated to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return (NavigableSet<E>) super.decorated(); |
| 63 | } | |
| 64 | ||
| 65 | //----------------------------------------------------------------------- | |
| 66 | ||
| 67 | @Override | |
| 68 | public E lower(E e) { | |
| 69 |
1
1. lower : mutated return of Object value for org/apache/commons/collections4/set/AbstractNavigableSetDecorator::lower to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return decorated().lower(e); |
| 70 | } | |
| 71 | ||
| 72 | @Override | |
| 73 | public E floor(E e) { | |
| 74 |
1
1. floor : mutated return of Object value for org/apache/commons/collections4/set/AbstractNavigableSetDecorator::floor to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return decorated().floor(e); |
| 75 | } | |
| 76 | ||
| 77 | @Override | |
| 78 | public E ceiling(E e) { | |
| 79 |
1
1. ceiling : mutated return of Object value for org/apache/commons/collections4/set/AbstractNavigableSetDecorator::ceiling to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return decorated().ceiling(e); |
| 80 | } | |
| 81 | ||
| 82 | @Override | |
| 83 | public E higher(E e) { | |
| 84 |
1
1. higher : mutated return of Object value for org/apache/commons/collections4/set/AbstractNavigableSetDecorator::higher to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return decorated().higher(e); |
| 85 | } | |
| 86 | ||
| 87 | @Override | |
| 88 | public E pollFirst() { | |
| 89 |
1
1. pollFirst : mutated return of Object value for org/apache/commons/collections4/set/AbstractNavigableSetDecorator::pollFirst to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return decorated().pollFirst(); |
| 90 | } | |
| 91 | ||
| 92 | @Override | |
| 93 | public E pollLast() { | |
| 94 |
1
1. pollLast : mutated return of Object value for org/apache/commons/collections4/set/AbstractNavigableSetDecorator::pollLast to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return decorated().pollLast(); |
| 95 | } | |
| 96 | ||
| 97 | @Override | |
| 98 | public NavigableSet<E> descendingSet() { | |
| 99 |
1
1. descendingSet : mutated return of Object value for org/apache/commons/collections4/set/AbstractNavigableSetDecorator::descendingSet to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return decorated().descendingSet(); |
| 100 | } | |
| 101 | ||
| 102 | @Override | |
| 103 | public Iterator<E> descendingIterator() { | |
| 104 |
1
1. descendingIterator : mutated return of Object value for org/apache/commons/collections4/set/AbstractNavigableSetDecorator::descendingIterator to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return decorated().descendingIterator(); |
| 105 | } | |
| 106 | ||
| 107 | @Override | |
| 108 | public NavigableSet<E> subSet(E fromElement, boolean fromInclusive, E toElement, boolean toInclusive) { | |
| 109 |
1
1. subSet : mutated return of Object value for org/apache/commons/collections4/set/AbstractNavigableSetDecorator::subSet to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return decorated().subSet(fromElement, fromInclusive, toElement, toInclusive); |
| 110 | } | |
| 111 | ||
| 112 | @Override | |
| 113 | public NavigableSet<E> headSet(E toElement, boolean inclusive) { | |
| 114 |
1
1. headSet : mutated return of Object value for org/apache/commons/collections4/set/AbstractNavigableSetDecorator::headSet to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return decorated().headSet(toElement, inclusive); |
| 115 | } | |
| 116 | ||
| 117 | @Override | |
| 118 | public NavigableSet<E> tailSet(E fromElement, boolean inclusive) { | |
| 119 |
1
1. tailSet : mutated return of Object value for org/apache/commons/collections4/set/AbstractNavigableSetDecorator::tailSet to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return decorated().tailSet(fromElement, inclusive); |
| 120 | } | |
| 121 | ||
| 122 | } | |
Mutations | ||
| 62 |
1.1 |
|
| 69 |
1.1 |
|
| 74 |
1.1 |
|
| 79 |
1.1 |
|
| 84 |
1.1 |
|
| 89 |
1.1 |
|
| 94 |
1.1 |
|
| 99 |
1.1 |
|
| 104 |
1.1 |
|
| 109 |
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|
| 114 |
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| 119 |
1.1 |


FRANK SPRUNG
Collectible Soups
Nautical miles often fool people into thinking of spins around in fancy boats, sunglasses donned with a scarf flying behind in the wind. Make mine neat but astute queen bees always see the zebra in among. The rose garden looked so good in the winter, we then let it grow outside in the summer and were amazed.


Challenge a Penalty Charge Notice
You will need to call us
As you are on Universal Credit, you cannot use this online service at the moment.
To challenge your Penalty Charge Notice you will need to phone us:
- 0300 330 9291 (prescriptions)
- 0300 330 1293 (dental treatment)
This call will be charged at a local rate.


{% load static %}
The main question sequence is what has been explained to you in the task instructions and the example question.
Each participant's accuracy will be scored as the number of images that they correctly label (as being or not being AI-generated images) across this main question sequence.
Those participants whose accuracy is among the top 50% of accuracies achieved by participants during this survey will receive a bonus payment of £0.75 via Prolific.


Library of Knowledge
Join us for our annual Friends of the Library Fish n Chips Dinner!
Home
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Reserve Rooms
Contact Us
Request a room at the library. Detail seating capacity and date.
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E-mail:
Comment:


 These article helps you escape these issues and enjoy safe online presence using the free and open source utility known as Pi-hole.
Pi-hole is a DNS sinkhole that protects your devices from unwanted content, without installing any client-side software. It is cool tool and very easy to install but most of the ISP routers does not allow you to override DNS configuration and it is hard to find documentation on how to setup pi-hole as DNS server or DHCP.
Below steps manifests how to install pihole, access pihole admin web interface and how to use it as DHCP
You can install Pi-hole on raspberrypi using the following command:
pi-hole comes with admin (management) tool, which shows stats on all the domains being queried on your network. After pi-hole installation, you can use web interface by entering http://<IP_ADDRESS> OR {IP_OF_MACHINE}:80/admin in browser.
Alternatively there is pi-hole admin app available for android devices, here is the download linkYou need to update your device’s network configuration to use pi-hole as dns server, here is the sample configuration example of windows laptop.
go to wifi properties -> ip settings -> edit -> add manual DHCP configuration like below
A reddit user by the name _CamelCase_ created a unified hosts file to add extra domains to the block list which blocks over 1 million Domains
Here is the guide on how to add domains to blacklistEnjoy setting up pi-hole for your home network.


astrolibR: Astronomy Users Library
Several dozen low-level utilities and codes from the Interactive Data Language (IDL) Astronomy Users Library (http://idlastro.gsfc.nasa.gov) are implemented in R. They treat: time, coordinate and proper motion transformations; terrestrial precession and nutation, atmospheric refraction and aberration, barycentric corrections, and related effects; utilities for astrometry, photometry, and spectroscopy; and utilities for planetary, stellar, Galactic, and extragalactic science.
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=astrolibR
to link to this page.


Mapillary Top 10 local leaderboard
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User data : Mapillary
Map:
(C)OpenStreetMap contributors
Display map:
Leaflet
Use
Official leaderboard
to specify Country/Region/City/Locality.
Bug report at
Github


Hello,
What could be the possible couse of the x-axis not displaying correctly. it ends exactly 2 hours before the last input in the database, however the graph is shown correctly. The time is formatted like this in the database 2011-08-30 20:58:58
Other question is did anybody get the script working when using ie as browser?
greetz
Jasper
Re: x-axis 2 hours off
I think you need timezone shift
Re: x-axis 2 hours off
Ok, i also think this is a timezone issue, but som other scripts on the same server wich also read / write to mysql don't need a timezone shift.
- The database timezone is ok, becouse the entry's in the database are ok.
Only the visualisation axis isn't displayed correctly..
anyone??
Re: x-axis 2 hours off
Ive also got the X-axis timezsone problem : its out by -1 hour from GMT,
Database timezone PHP.INI has been set and records correctly, but the visualisation is out.
Glyn - is there a setting as per your suggestion for timezone shift? Couldnt immediately spot it.
Re: x-axis 2 hours off
There isnt a setting to correct the timezone shift at the moment Im afraid. The issue here is that the graphs are javascript based and get the time from the local machine while the emoncms server side of things gets its time from the server time, both should be GMT +0. Will have to think about how best to fix this.
Re: x-axis 2 hours off
Ok, I found a mod that can be added to the flot library to fix the problem, I found it here: http://code.google.com/p/flot/issues/detail?id=141, It works for me my graph now shows the correct time for the first time since I wrote the application :)
Please download the latest emoncms2 version from github and let me know if it work for you.
Re: x-axis 2 hours off
Trystan - thanks - the graph is now reading my timezone, GMT.
I'll keep an eye on things.


Mode Tabs
Every open draft has three tabs on the bottom of the draft denoting three different pages with each page containing different bits of information that pertain to the draft.
Mode Tabs
Main tab
Advanced tab
Preview tab


|
PREX EUCHARISTICA II
|
EUCHARISTIC PRAYER II
|
|
Sacerdos, manibus extensis, dicit: |
The priest, with
hands extended, says: |
|
Vere
Sanctus es, Dómine, fons omnis sanctitátis. |
You are indeed Holy, O Lord, the fount of all holiness. |
|
Iungit manus, easque expansas super oblata tenens,
dicit: |
He joins his hands
and, holding them extended over the offerings, says: |
|
Haec ergo dona, quaésumus, Spíritus tui rore
sanctífica, |
Make holy, therefore, these
gifts, we pray, by sending down your Spirit upon them like the dewfall, |
|
iungit manus et signat semel super panem et calicem simul, dicens: |
He joins his hands
and makes the Sign of the Cross once over the bread and the chalice together,
saying: |
|
ut nobis Corpus
et + Sanguis fiant
Dómini nostri Iesu Christi. |
So that they may become for
us the Body and +
Blood of our Lord, Jesus Christ. |
|
Iungit manus. |
He joins his
hands. |
|
In formulis quae sequuntur, verba Dómini proferantur dístincte et aperte,
prouti natura eorundem verborum requirit. |
In the formulae
that follow, the words of the Lord should be pronounced clearly and
distinctly, as the nature of these words requires. |
|
Qui cum Passióni
voluntárie traderétur, |
At the time he was
betrayed and entered willingly into his Passion, |
|
accipit panem, eumque parum elevatum super altare tenens, prosequitur: |
He takes the bread
and, holding it slightly raised above the altar, continues: |
|
accépit panem et grátias agens fregit, dedítque
discípulis suis, dicens: |
he took bread and, giving
thanks, broke it, and gave it to his disciples, saying: |
|
Parum se inclinat. |
He bows slightly. |
|
Accípite et manducáte ex hoc
omnes: hoc est enim Corpus meum, quod pro vobis tradétur. |
Take this, all of you, and eat of it, for this is my Body, which will be given up for you. |
|
Hostiam
consecratam ostendit populo, reponit super patenam, et genuflexus adorat. |
He shows the
consecrated host to the people, places it again on the paten, and genuflects
in adoration. |
|
Postea prosequitur: |
After this, he
continues: |
|
Símili modo, postquam
cenátum est, |
In a similar way, when supper was ended, |
|
accipit calicem, eumque parum elevatum super altare tenens, prosequitur: |
He takes the
chalice and, holding it slightly raised above the altar, continues: |
|
accípiens et
cálicem, íterum tibi grátias agens dedit discípulis suis, dicens: |
He took the chalice and,
once more giving thanks, he gave it to his disciples, saying: |
|
Parum se inclinat. |
He bows slightly. |
|
Accípite et bíbite ex eo omnes: hic est enim calix Sánguinis mei novi et aetérni
testaménti, qui pro vobis et pro multis effundétur in remissiónem peccatórum. Hoc fácite in meam commemoratiónem. |
Take this, all of you, and drink from it, for this is the chalice of my Blood, the Blood of the new and eternal covenant, which will be poured out for you and for many for the forgiveness of sins. Do this in memory of me. |
|
Calicem ostendit
populo, deponit super corporale, et genuflexus adorat. |
He shows the
chalice to the people, places it on the corporal, and genuflects in
adoration. |
|
Deinde dicit: Mystérium fidei. |
Then he says: The mystery of faith: |
|
Et populus
prosequitur, acclamans: |
And the people continue,
acclaiming: |
|
A. Mortem tuam annuntiámus, Dómine, et tuam resurrectiónem confitémur, donec vénias. |
A. We proclaim your Death, O Lord, and profess your Resurrection until you come again. |
|
B. Quotiescúmque
manducámus panem hunc et cálicem bíbimus, mortem tuam annuntiámus, Dómine,
donec vénias. |
B. When we eat this
Bread and drink this Cup, we proclaim your Death, O Lord, until you come
again. |
|
C. Salvátor
mundi, salva nos, qui per crucem et resurrectiónem tuam liberásti nos. |
C. Save us, Saviour of the world, for by your Cross and Resurrection you have set us free. |
|
Postea, extensis manibus, sacerdos dicit: |
Then the Priest,
with hands extended, says: |
|
Mémores ígitur mortis et resurrectiónis eius, tibi, Dómine, panem vitae et cálicem salútis offérimus, grátias agéntes quia nos dignos habuísti astáre coram te et tibi ministráre. Et súpplices deprecámur ut Córporis et Sánguinis Christi partícipes a Spíritu Sancto congregémur in unum. |
Therefore, as we celebrate the memorial of his Death and Resurrection, we offer you, Lord, the Bread of life and the Chalice of salvation, giving thanks that you have held us worthy to be in your presence and minister to you. Humbly we pray that, partaking of the Body and Blood of Christ, we may be gathered into one by the Holy Spirit. |
|
Recordáre, Dómine,
Ecclésiae tuae toto orbe diffúsae, ut eam in caritáte perfícias una cum Papa
nostro N. et Epíscopo
nostro N.
et univérso clero. |
Remember, Lord, your Church, spread throughout the world, and bring her to the fullness of charity, together with N. our Pope and N. our bishop and all the clergy. |
|
In Missis pro
defunctis prex addi potest. |
In Masses for the
Dead another prayer may be added. |
|
Meménto étiam fratrum nostrórum, qui in spe resurrectiónis dormiérunt, omniúmque in tua miseratióne defunctórum, et eos in lumen vultus tui admítte. Omnium nostrum, quaésumus, miserére, ut cum beáta Dei Genetríce Vírgine María, beáto Ioseph, eius Sponso, beátis Apóstolis et ómnibus Sanctis, qui tibi a saéculo placuérunt, aetérnae vitae mereámur esse consórtes, et te laudémus et glorificémus |
Remember also our brothers and sisters who have fallen asleep in the hope of the resurrection, and all who have died in your mercy: welcome them into the light of your face. Have mercy on us all, we pray, that with the blessed Virgin Mary, Mother of God, with blessed Joseph, her Spouse, with the blessed Apostles, and all the Saints who have pleased you throughout the ages, we may merit to be coheirs to eternal life, and may praise and glorify you |
|
per Fílium tuum Iesum Christum. |
He joins his
hands. through your Son, Jesus Christ. |
|
Accipit patenam cum hostia et calicem, et utrumque elevans, dicit: |
He takes the
chalice and the paten with the host and raising both, he says: |
|
Per ipsum, et cum ipso, et in ipso, est tibi Deo Patri omnipoténti, in unitáte Spíritus Sancti, omnis honor et glória per ómnia saécula saeculórum. |
Through him, and with him, and in him, O God, almighty Father, in the unity of the Holy Spirit, all glory and honour is yours, for ever and ever. |
|
Populus acclamat: |
The people
acclaim: |
|
Deinde sequitur
ritus communionis. |
Then follows the
Communion Rite. |
|
In Missis pro defunctis addi potest: |
In Masses for the dead the following may be added: |
|
Meménto
fámuli tui (fámulae tuae) N. quem (quam) (hodie) ad te ex hoc mundo vocásti. Concéde, ut, qui (quae) complantátus (complantáta) fuit similitúdini mortis
Fílii tui, simul fiat et resurrectiónis ipsíus. |
Remember your
servant N. whom you have called (today) from this world
to yourself. Grant that he (she) who was united with your Son in a death like his,
may also be one with him in his Resurrection. |


Click and drag the lower mini-graph to pan and zoom!
You can also click the coloured bubbles at the top to hide lines.


Summary
I was born on May 20th, 1996. I have two brotehrs, one who is two years older than I am and the other is my twin brother. He is technically my younger brother since he's 15 minutes younger than me! I own have two dogs and they are schnoodles. I was born and raised in Portland and I really like the bridges although I hate walking across them because it terrifies me. I really love coding and I can't wait to see where it takes me!
Education
- Lincoln High School
- Portland Community College
- Portland State University
- Code Fellows
Experience
- Shitty minimum wage jobs
- That's basically it
Goals
- Graduate from Code Fellows
- Get a job coding after Code Fellows
- Move out of my mom's house eventually
Top ten locations
- Portland, Oregon
- Vancouver, British Columbia
- Sausalito, California
- San Juan, Puerto Rico
- New Orleans, Louisiana
- Disney World in Orland, Florida
- Lake Tahoe, California
- Disney Land
- Knotts Berry Farm
- Sarasota, Florida


2-Methylbutyryl-coenzyme A dehydrogenase deficiency: a new inborn error of L-isoleucine metabolism.
An 4-mo-old male was found to have an isolated increase in 2-methylbutyrylglycine (2-MBG) and 2-methylbutyrylcamitine (2-MBC) in physiologic fluids. In vitro oxidation studies in cultured fibroblasts using 13C- and 14C-labeled branched chain amino acids indicated an isolated block in 2-methylbutyryl-CoA dehydrogenase (2-MBCDase). Western blotting revealed absence of 2-MBCDase protein in fibroblast extracts; DNA sequencing identified a single 778 C>T substitution in the 2-MBCDase coding region (778 C>T), substituting phenylalanine for leucine at amino acid 222 (L222F) and absence of enzyme activity for the 2-MBCDase protein expressed in Escherichia coli. Prenatal diagnosis in a subsequent pregnancy suggested an affected female fetus, supporting an autosomal recessive mode of inheritance. These data confirm the first documented case of isolated 2-MBCDase deficiency in humans.


EPIC ADVENTURE WELCOME TO MY CYOA(choose your own adventure) GAME!!! Press START to begin If you have 10 minutes to spare try this short game


ALL public residential commercial educational industrial hospitality Poshtel 2017 Commercial, Research Poshtel 2017 Commercial, Research Poshtel 2017 Commercial, Research Poshtel 2017 Commercial, Research Poshtel 2017 Commercial, Research Poshtel 2017 Commercial, Research Poshtel 2017 Commercial, Research Poshtel 2017 Commercial, Research Poshtel 2017 Commercial, Research


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Click here to download this week's dataset as a CSV
Click here to download this week's dataset as a Hyper Extract
Data Storytelling and Data Viz Approach
I was mostly interested in how lego has evolved over the years. The first thing I looked at was color distribution; much like Skittles or M&Ms, Lego bricks are known for their colorful diversity, and I wanted to see how the distribution of bricks has changed over the years. In spite of the popular understanding, the most common colors of bricks are shades of greys and blacks, and their dominance has increased dramatically over the last 3 decades or so. I suspect that this is related to the rise of licensed sets. Star Wars in particular has been an enormously popular IP for Lego sets, and most of the kits related to that that franchise are space ships. Space ships that are, as you might guess, shades of blacks and grey.
In fact, it appears as if the rise of licensed sets has had a profound effect on the brand. Since licensed sets became a "thing" around the turn of the century, the number of sets released each year has exploded, while the diversity of themes those sets covered has increased at a much slower pace. This tells us that, while Lego is releasing many, many more sets each year, those sets will still be grouped amongst a relatively small number of intellectual properties.
Data Notes
This dataset comes from rebrickable.com rather than from Lego directly, so there are bound to be inaccuracies. In addition, it's important to note that sales and production quantities are not represented in this dataset; any analysis based solely on this dataset assumes that all sets are produced in equal numbers, which is almost certainly not the case. If sales and/or production numbers could be taken into account, the color distribution would most certainly change.
Data Source
This week's dataset comes from the rebrickable.com.


Laplace¶
This page gives the details about the code in biasd.laplace.
Laplace Approximation¶
In order to calculate the Laplace approximation to the posterior probability distribution, you must calculate the second derivative of the log-posterior function at the maximum a posteriori (MAP) estimate. This module contains code to calculate the finite difference Hessian, find the MAP estimate of the BIASD log-posterior using numerical maximization (Nelder-Mead), and apply this analysis to a time series. You should probably only need to use the biasd.laplace.laplace_approximation() function.
-
laplace.
calc_hessian
(fxn, x, eps=1.4901161193847656e-08)¶ Calculate the Hessian using the finite difference approximation.
Finite difference formulas given in Abramowitz & Stegun
- Eqn. 25.3.23 (on-diagonal)
- Eqn. 25.3.26 (off-diagonal)
- Input:
- fxn is a function that can be evaluated at x
- x is a 1D np.ndarray
- Returns:
- an NxN np.ndarray, where N is the size of x
-
laplace.
find_map
(data, prior, tau, meth='nelder-mead', xx=None, nrestarts=2)¶ Use numerical minimization to find the maximum a posteriori estimate of a BIASD log-posterior distribution.
- Inputs:
- data is a 1D np.ndarray of the time series
- prior is a biasd.distributions.parameter_collection that contains the prior the BIASD Bayesian inference
- tau is the measurement period
- Optional:
- meth is the minimizer used to find the minimum of the negative posterior (i.e., the maximum). Defaults to simplex.
- xx will initialize the minimizer at this theta position. Defaults to mean of the priors.
- nrestarts is the number of times to try to find the minimum. Restarts initialize at a random variate chosen from prior distributions
- Returns:
- the minimizer dictionary
-
laplace.
laplace_approximation
(data, prior, tau, nrestarts=2, verbose=False)¶ Perform the Laplace approximation on the BIASD posterior probability distribution of this trace.
- Inputs:
- data is a 1D np.ndarray of the time series
- prior is a biasd.distributions.parameter_collection that contains the prior the BIASD Bayesian inference
- tau is the measurement period
- Optional:
- nrestarts is the number of times to try to find the MAP in find_map.
- verbose is a boolean that determines whether the evaluation time for each Hessian and minimization is printed.
- Returns:
- a biasd.laplace._laplace_posterior object, which has a .mu with the means, a .covar with the covariances, and a .posterior which is a marginalized biasd.distributions.parameter_collection of normal distributions.


Enter the model in the textbox
- Each equation should be of the form "var=formula"
- Each variable must show up exactly once as a left-hand-side of one of these equationa
- Capitilization matters! Two variables with the same letters but different capitilizations are considered distinct.
- The formula may contain +, -, *, ^, MAX, MIN, and NOT.
Once you have entered the model, click on the submit button. On the backend, we do a quick check to make sure each line is of the form var=formula, but do no other checking.
For this example, we will use a very simple model with two variables, A and B.
Note: You can also upload the model from a text file. File should either be in the above format or be a ternary SBML-qual model. Entered models can downloaded using the button in the lower left.


Main Concepts
About Templates - Property Binding - Considerations
As in AngularJS, remember that expressions are in the view,
and that the view shouldn't contain complex code. Then keep expressions
simple and prefer add a method on your bean.
//NO
[isEligible]="(user.age > 13 && user.friends.length > 3 && isInList(user.preferedMovie)"
//OK
[isEligible]="checkEligible()"


Range
datatypes
Ratio
datatypes
Reference
datatypes
ReferenceRange
resources
ReferenceSeq
resources
Related
resources
RelatedType
resources
RelatedType
Repository
resources
Requester
resources
Resource
resources
ResourceSerializer
v3
raceEthnicitySystem
Patient
rank
ContactPoint
rateQuantity
Dosage
rateRange
Dosage
rateRatio
Dosage
readCoverage
Sequence
readsetId
Repository
reason
Substitution
reasonCode
Media
MedicationAdministration
MedicationRequest
MedicationStatement
Procedure
reasonNotGiven
MedicationAdministration
reasonNotTaken
MedicationStatement
reasonReference
MedicationAdministration
MedicationRequest
MedicationStatement
Procedure
recall
Quality
receivedTime
Specimen
recorder
MedicationRequest
recurrence
ClinicalStatus
reference
Reference
referenceAllele
Variant
referenceRange
Observation
ObservationComponent
referenceSeq
Sequence
referenceSeqId
ReferenceSeq
referenceSeqPointer
ReferenceSeq
referenceSeqString
ReferenceSeq
refuted
VerificationStatus
registered
ObservationStatus
related
Observation
relationship
PatientContact
remission
ClinicalStatus
repeat
Timing
replaces
RelatedType
report
Procedure
repository
Sequence
request
Specimen
requester
MedicationRequest
resolved
ClinicalStatus
resourceType
Resource
resources
v3
role
ProcedurePerformer
route
Dosage
routine
MedicationRequestPriority


|
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object org.webcurator.core.util.WCTSoapCall
public class WCTSoapCall
WCTSoapCall
abstracts some of the SOAP mechanics from the
rest of the WCT, allowing the WCT to be relatively free of SOAP related
functionality. This class should be used for all SOAP calls between the
core, harvest agents, and digital asset store.
| Field Summary | |
|---|---|
static java.lang.String |
AGENT_LOG_READER
The name of the Harvesy Agent Log Reader SOAP service. |
static java.lang.String |
DAS_LOG_READER
The name of the Digital Asset Store SOAP service. |
static java.lang.String |
DAS_SERVICE
The name of the Digital Asset Store SOAP service. |
static java.lang.String |
HARVEST_AGENT
the name of the harvest agent SOAP service. |
static java.lang.String |
WCT_HARVEST_LISTENER
the name of the harvest agent listener SOAP service. |
| Constructor Summary | |
|---|---|
WCTSoapCall(java.lang.String host,
int port,
java.lang.String service,
java.lang.String operation)
Create a new SOAP call. |
|
WCTSoapCall(java.lang.String host,
java.lang.String service,
java.lang.String operation)
Create a new SOAP call. |
|
WCTSoapCall(WebServiceEndPoint wsEndPoint,
java.lang.String operation)
|
| Method Summary | |
|---|---|
java.lang.Object |
infiniteRetryingInvoke(long retryDelay,
java.lang.Object... objects)
Invoke the SOAP call. |
java.lang.Object |
invoke(java.lang.Object... objects)
Invoke the SOAP call. |
void |
invokeOneWay(java.lang.Object... objects)
Invoke the SOAP call asynchronously. |
void |
regTypes(java.lang.Class... classes)
Register a set of classes against this call so that they can be correctly serialized. |
java.lang.Object |
retryingInvoke(int attempts,
long retryDelay,
java.lang.Object... objects)
Invoke the SOAP call. |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
public static final java.lang.String HARVEST_AGENT
public static final java.lang.String WCT_HARVEST_LISTENER
public static final java.lang.String DAS_SERVICE
public static final java.lang.String AGENT_LOG_READER
public static final java.lang.String DAS_LOG_READER
| Constructor Detail |
|---|
public WCTSoapCall(java.lang.String host, java.lang.String service, java.lang.String operation) throws javax.xml.rpc.ServiceException
host
- The host to send the message to.service
- The name of the service to send the message to.operation
- The operation to invoke.
javax.xml.rpc.ServiceException
- if there is a SOAP error.public WCTSoapCall(WebServiceEndPoint wsEndPoint, java.lang.String operation) throws javax.xml.rpc.ServiceException
javax.xml.rpc.ServiceException
public WCTSoapCall(java.lang.String host, int port, java.lang.String service, java.lang.String operation) throws javax.xml.rpc.ServiceException
host
- The host to send the message to.port
- The port the end point is listening on.service
- The name of the service to send the message to.operation
- The operation to invoke.
javax.xml.rpc.ServiceException
- if there is a SOAP error.| Method Detail |
|---|
public void regTypes(java.lang.Class... classes)
classes
- The classes to register.public java.lang.Object invoke(java.lang.Object... objects) throws java.rmi.RemoteException
objects
- The operation's arguments.
java.rmi.RemoteException
- if there are any exceptions.public void invokeOneWay(java.lang.Object... objects) throws java.rmi.RemoteException
objects
- The operation's arguments.
java.rmi.RemoteException
- if there are any exceptions.public java.lang.Object retryingInvoke(int attempts, long retryDelay, java.lang.Object... objects) throws java.rmi.RemoteException
attempts
- The number of attempts to make. Set to 0 for infinite.retryDelay
- The number of milliseconds to wait between attempts.objects
- The operation's arguments.
java.rmi.RemoteException
- if there are any exceptions.public java.lang.Object infiniteRetryingInvoke(long retryDelay, java.lang.Object... objects)
attempts
- The number of attempts to make. Set to 0 for infinite.retryDelay
- The number of milliseconds to wait between attempts.objects
- The operation's arguments.
java.rmi.RemoteException
- if there are any exceptions.
|
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


|
Name
|
Type
|
Description
|
| healthTest | VsanClusterHealthTest |
It's the data driven structure to display the health test result
for purpose of rendering a UI. The structure has a description, health status,
and optionally one or more "details" tables to display additional information
about the test. Programmatic consumption of the health results should avoid
parsing this structure because it is meant for UI consumption and the content
will change to improve user experience.
|
| overallStatus | xsd:string |
The overall proactive test result status enumeration.
The all possible values are 'green', 'yellow', 'red',
'unknown', or 'info'.
|
| overallStatusDescription | xsd:string |
A human readable, short description of the overall status result
to let user know the potential problem in the first glance.
|
| timestamp | xsd:dateTime |
The time when the test was performed.
|
|
Properties inherited from DynamicData |
| None |


--- layout: documentation title: EncodedCDATAType ---
This type is used to represent data in an XML CDATA block. Data in a CDATA block may either be represented as-is or, in cases where it may contain characters that are not valid in CDATA, it may be encoded in Base64 per RFC4648. Data encoded in Base64 must be denoted as such using the encoded attribute.
| Field Name | Type | Description |
|---|---|---|
| @encodedoptional | boolean |
If true, specifies that the content encoded in the element is encoded using Base64 per RFC4648. |


Extend hammer.js with event propagation.
grandchild1
will propagate to child1
and then parent1
.grandchild2
will propagate to child2
, which stops propagation and does not reach parent
.See output in the developer console, check the order of events.


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Price of 2nd hand Toyota cars - Regression Analysis
Data Mining and Business Analytics with R
This example shows another very simple regression analysis using data of secondhand Toyota car prices. Code is copied from the book “Data Mining and Business Analytics with R” with minor modification on the graphs.
The regressions are done treating Price of Cars as functions of predictors such as Car weight, Model types, Number of cylinders, etc.
Focus is on: (1) Select a trained set of data that gives Mean Error close to 0 as possible; (2) Cross Validate the data to provide an insight on better Predictors to be used in the model.
Data.
#toyota <- read.csv("ToyotaCorolla.csv")
toyota[1:3,]
Price Age KM FuelType HP MetColor Automatic CC Doors Weight
1 13500 23 46986 Diesel 90 1 0 2000 3 1165
2 13750 23 72937 Diesel 90 1 0 2000 3 1165
3 13950 24 41711 Diesel 90 1 0 2000 3 1165
CODE
## first we read in the data
toyota <- read.csv("https://www.biz.uiowa.edu/faculty/jledolter/DataMining/ToyotaCorolla.csv")
#toyota <- read.csv("ToyotaCorolla.csv")
toyota[1:3,]
summary(toyota)
hist(toyota$Price)
## next we create indicator variables for the categorical variable
## FuelType with its three nominal outcomes: CNG, Diesel, and Petrol
v1=rep(1,length(toyota$FuelType))
v2=rep(0,length(toyota$FuelType))
toyota$FuelType1=ifelse(toyota$FuelType=="CNG",v1,v2) #return value of CNG to v1, otherwise 0
toyota$FuelType2=ifelse(toyota$FuelType=="Diesel",v1,v2) #return value of Diesel to v1, otherwise 0
auto=toyota[-4] #ignore column 4 (Fueltype)
auto[1:3,]
plot.new()
#par(mfrow=c(1,1))
par(mar=c(4,4,1,1)+0.1,mfrow=c(4,2),bg="white",cex = 0.7, cex.main = 1)
plot(Price~Age,data=auto)
plot(Price~KM,data=auto)
plot(Price~HP,data=auto)
plot(Price~MetColor,data=auto)
plot(Price~Automatic,data=auto)
plot(Price~CC,data=auto)
plot(Price~Doors,data=auto)
plot(Price~Weight,data=auto)
dev.copy(png,'toyota_xyplot.png',width = 500, height = 800)
dev.off()
## regression on all data
m1=lm(Price~.,data=auto)
summary(m1)
set.seed(1)
## fixing the seed value for the random selection guarantees the
## same results in repeated runs
n=length(auto$Price)
n1=1000
n2=n-n1
train=sample(1:n,n1) # generate random n1 integer number of data among the size from 1 to n.
## regression on training set
m1=lm(Price~.,data=auto[train,])
summary(m1)
pred=predict(m1,newdat=auto[-train,]) #adding a set of n2 number into regression model
obs=auto$Price[-train]
diff=obs-pred
percdiff=abs(diff)/obs
me=mean(diff)
rmse=sqrt(sum(diff**2)/n2)
mape=100*(mean(percdiff))
me # mean error
rmse # root mean square error
mape # mean absolute percent error
## cross-validation (leave one out)
n=length(auto$Price)
diff=dim(n)
percdiff=dim(n)
for (k in 1:n) {
train1=c(1:n)
train=train1[train1!=k]
m1=lm(Price~.,data=auto[train,])
pred=predict(m1,newdat=auto[-train,])
obs=auto$Price[-train]
diff[k]=obs-pred
percdiff[k]=abs(diff[k])/obs
}
me=mean(diff)
rmse=sqrt(mean(diff**2))
mape=100*(mean(percdiff))
me # mean error
rmse # root mean square error
mape # mean absolute percent error
## cross-validation (leave one out): Model with just Age
n=length(auto$Price)
diff=dim(n)
percdiff=dim(n)
for (k in 1:n) {
train1=c(1:n)
train=train1[train1!=k]
m1=lm(Price~Age,data=auto[train,])
pred=predict(m1,newdat=auto[-train,])
obs=auto$Price[-train]
diff[k]=obs-pred
percdiff[k]=abs(diff[k])/obs
}
me=mean(diff)
rmse=sqrt(mean(diff**2))
mape=100*(mean(percdiff))
me # mean error
rmse # root mean square error
mape # mean absolute percent error
## Adding the squares of Age and KM to the model
auto$Age2=auto$Age^2
auto$KM2=auto$KM^2
m11=lm(Price~Age+KM,data=auto)
summary(m11)
m12=lm(Price~Age+Age2+KM+KM2,data=auto)
summary(m12)
m13=lm(Price~Age+Age2+KM,data=auto)
summary(m13)
#----------------
plot.new()
#par(mfrow=c(1,1))
par(mar=c(4,4,1,1)+0.1,mfrow=c(2,2),bg="white",cex = 0.7, cex.main = 1)
plot(m11$res~m11$fitted)
hist(m11$res)
plot(m12$res~m12$fitted)
dev.copy(png,'toyota_m11m12.png',width = 800, height = 500)
dev.off()
Graphs and Outcomes
Highlights
Function ifelse() is used to return the logical value YES or NO.
## next we create indicator variables for the categorical variable
## FuelType with its three nominal outcomes: CNG, Diesel, and Petrol
v1=rep(1,length(toyota$FuelType))
v2=rep(0,length(toyota$FuelType))
toyota$FuelType1=ifelse(toyota$FuelType=="CNG",v1,v2) #return value of CNG to v1, otherwise 0
toyota$FuelType2=ifelse(toyota$FuelType=="Diesel",v1,v2) #return value of Diesel to v1, otherwise 0
m1=lm(Price~.,data=auto)
summary(m1)
Call:
lm(formula = Price ~ ., data = auto)
Residuals:
Min 1Q Median 3Q Max
-10642.3 -737.7 3.1 731.3 6451.5
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -2.681e+03 1.219e+03 -2.199 0.028036 *
Age -1.220e+02 2.602e+00 -46.889 < 2e-16 ***
KM -1.621e-02 1.313e-03 -12.347 < 2e-16 ***
HP 6.081e+01 5.756e+00 10.565 < 2e-16 ***
MetColor 5.716e+01 7.494e+01 0.763 0.445738
Automatic 3.303e+02 1.571e+02 2.102 0.035708 *
CC -4.174e+00 5.453e-01 -7.656 3.53e-14 ***
Doors -7.776e+00 4.006e+01 -0.194 0.846129
Weight 2.001e+01 1.203e+00 16.629 < 2e-16 ***
FuelType1 -1.121e+03 3.324e+02 -3.372 0.000767 ***
FuelType2 2.269e+03 4.394e+02 5.164 2.75e-07 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1316 on 1425 degrees of freedom
Multiple R-squared: 0.8693, Adjusted R-squared: 0.8684
F-statistic: 948 on 10 and 1425 DF, p-value: < 2.2e-16
set.seed(1)
## fixing the seed value for the random selection guarantees the
## same results in repeated runs
n=length(auto$Price)
n1=1000
n2=n-n1
train=sample(1:n,n1) # generate random n1 integer number of data among the size from 1 to n.
## regression on training set
m1=lm(Price~.,data=auto[train,])
summary(m1)
Call:
lm(formula = Price ~ ., data = auto[train, ])
Residuals:
Min 1Q Median 3Q Max
-8914.6 -778.2 -22.0 751.4 6480.4
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 5.337e+02 1.417e+03 0.377 0.706
Age -1.233e+02 3.184e+00 -38.725 < 2e-16 ***
KM -1.726e-02 1.585e-03 -10.892 < 2e-16 ***
HP 5.472e+01 7.662e+00 7.142 1.78e-12 ***
MetColor 1.581e+02 9.199e+01 1.719 0.086 .
Automatic 2.703e+02 1.982e+02 1.364 0.173
CC -3.634e+00 7.031e-01 -5.168 2.86e-07 ***
Doors 3.828e+01 4.851e+01 0.789 0.430
Weight 1.671e+01 1.379e+00 12.118 < 2e-16 ***
FuelType1 -5.950e+02 4.366e+02 -1.363 0.173
FuelType2 2.279e+03 5.582e+02 4.083 4.80e-05 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1343 on 989 degrees of freedom
Multiple R-squared: 0.8573, Adjusted R-squared: 0.8559
F-statistic: 594.3 on 10 and 989 DF, p-value: < 2.2e-16
## regression on training set
m1=lm(Price~.,data=auto[train,])
summary(m1)
pred=predict(m1,newdat=auto[-train,]) #adding a set of n2 number into regression model
obs=auto$Price[-train]
diff=obs-pred
percdiff=abs(diff)/obs
me=mean(diff)
rmse=sqrt(sum(diff**2)/n2)
mape=100*(mean(percdiff))
me # mean error
rmse # root mean square error
mape # mean absolute percent error
> me # mean error
[1] -48.70784
> rmse # root mean square error
[1] 1283.097
> mape # mean absolute percent error
[1] 9.208957
The above results give quite high value of Mean Errors, indicating a certain level of bias
## cross-validation (leave one out)
n=length(auto$Price)
diff=dim(n)
percdiff=dim(n)
for (k in 1:n) {
train1=c(1:n)
train=train1[train1!=k]
m1=lm(Price~.,data=auto[train,])
pred=predict(m1,newdat=auto[-train,])
obs=auto$Price[-train]
diff[k]=obs-pred
percdiff[k]=abs(diff[k])/obs
}
me=mean(diff)
rmse=sqrt(mean(diff**2))
mape=100*(mean(percdiff))
me # mean error
rmse # root mean square error
mape # mean absolute percent error
> me # mean error
[1] -2.726251
> rmse # root mean square error
[1] 1354.509
> mape # mean absolute percent error
[1] 9.530529
Now, the Mean Error is -2.7, which is a lot better than that of previous model. We can still further improve
## cross-validation (leave one out): Model with just Age
n=length(auto$Price)
diff=dim(n)
percdiff=dim(n)
for (k in 1:n) {
train1=c(1:n)
train=train1[train1!=k]
m1=lm(Price~Age,data=auto[train,])
pred=predict(m1,newdat=auto[-train,])
obs=auto$Price[-train]
diff[k]=obs-pred
percdiff[k]=abs(diff[k])/obs
}
me=mean(diff)
rmse=sqrt(mean(diff**2))
mape=100*(mean(percdiff))
me # mean error
rmse # root mean square error
mape # mean absolute percent error
> me # mean error
[1] 0.6085014
> rmse # root mean square error
[1] 1748.76
> mape # mean absolute percent error
[1] 12.13156
See, the mean value of 0.6 now. Surely better than previous one.


Assesses the statistical significance of clusters for a given dataset through bootstrapping and hypothesis testing of a given matrix of empirical Spearman's rho, based on the technique of S. Gaiser et al. (2010) <doi:10.1016/j.jmva.2010.07.008>.
| Version: | 0.1.4 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stringr, stringi, utils, Rdpack, data.tree |
| Suggests: | HAC, knitr, rmarkdown, nCopula |
| Published: | 2018-12-10 |
| Author: | Simon-Pierre Gadoury |
| Maintainer: | Simon-Pierre Gadoury <spgadou at me.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | erhcv results |
| Reference manual: | erhcv.pdf |
| Package source: | erhcv_0.1.4.tar.gz |
| Windows binaries: | r-devel: erhcv_0.1.4.zip, r-release: erhcv_0.1.4.zip, r-oldrel: not available |
| OS X binaries: | r-release: erhcv_0.1.4.tgz, r-oldrel: not available |
| Old sources: | erhcv archive |
Please use the canonical form https://CRAN.R-project.org/package=erhcv to link to this page.


 See the faces behind the lines of code.
Lead Designer & Founder
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Designer
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Lead Developer
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rockwell-automation
Businessmodel of Rockwell Automation
Customer Segments
Rockwell provides a broad range of products, services, and solutions that are utilised by commercial and industrial customers across multiples business sectors. The Company’s organises its customers across three principal markets:
- Consumer Industries, including customers within the food and beverage industry, the home and personal car industry, and the life sciences industry;
- Transportation, including customers within the automotive manufacturing industry, the aftermarket care industry, and the tyre manufacturing industry; and
- Heavy Industries, including customers across the oil and gas industry, and the mining and metals industry. Rockwell names a number of its customers on its website, including high-profile names such as Toyota, SOCAR, and Bradman Lake.
Both of Rockwell’s operating segments serve a global customer base. In 2015, sales to customers in the US accounted for around 55% of the Company’s total sales. Outside the US, the Company sells products across Latin America, Asia Pacific, Europe, Africa, and the Middle East, with its largest international sales recorded in Canada, China, the UK, Mexico, Italy, Germany, and Brazil.
Value Propositions
Rockwell provides value to its customers in the following ways:
- Its industry standing and track record, with the Company established as a reliable and effective provider of industrial automation products and solutions, having secured business from a number of high-profile clients across multiple industries, including Toyota and SOCAR;
- Its international sales reach, with the Company’s two operating segments selling and distributing products across all regions, with the US, Canada, China, the UK, Mexico, Italy, Germany, and Brazil being its largest markets;
- Its innovative and unique products, with the Company providing a broad portfolio of products that utilise proprietary technologies and designs and cannot be purchased from competing companies; and
- Its commitment to research and development, with the Company dedicating a significant portion of its resources each year to the design and development of new products and processes, in order to ensure that its customers receive state-of-the-art products. ### Channels
Rockwell operates a website at www.rockwellautomation.com, through which it provides information on its various products and solutions, locations, and activities. The Company also operates an online customer portal, which enables customers to manage their customer account details and access certain tools and resources. While the Company does not operate an online sales channel, customers are able to request quotes and pricing information through the Company’s website.
Approximately 70% of Rockwell’s sales are made through independent distributors, particularly in the US and Canada. These distributors do not typically carry products that compete with Rockwell’s own portfolio of products. Sales to the Company’s largest distributor in 2015, 2014 and 2013 were approximately 10% of total sales for the year. Rockwell also operates its own direct sales force, which is organized by segment and by geographic regions and works in conjunction with the Company’s network of distributors.
Customer Relationships
Rockwell does not make its products available for sale on a self-service basis. Customers, however, can make pricing and quote request independently through the Company’s website, and have access to the Company’s self-service online customer portal, which allows them to manage their accounts without interacting with sales or support personnel.
Rockwell’s direct sales force consults directly with customers to ensure that their individual needs are met, seeking to provide personalised assistance where possible. The Company aims to establish long-term relationships with its customers, with a view to securing recurring business.
Rockwell provides a broad range of support services to its customers. This includes technical support through a dedicated team of technical personnel, who provide personalised assistance on a case-by-case basis, maintenance and repair services, and on-site services. Customers are able to contact support staff over the phone or online. Rockwell additionally provides a range of resources to customers through its website, including user guides, product information, and technical and commercial publications.
Customers can stay up to date with Rockwell development and interact with the Company through its blog and its social media accounts, including with Facebook, Google+, LinkedIn, Twitter, SlideShare, and YouTube.
Key Activities
Rockwell Automation is a provider of industrial automation power, control and information solutions, primarily for manufacturing customers across multiple industries.
The Company aligns its business activities into two reportable segments: Architecture and Software, which relates to its development and provision of various hardware, software and communication components; and Control Products and Solutions, which relates to the development and provision of related software and value-added solutions.
The Company’s portfolio of products includes control platforms, low and medium voltage electro-mechanical and electronic motor starters, signaling devices, termination and protection devices, relays and timers. Rockwell serves a global customer base through a hybrid distribution model, comprising a network of third party distributors and the Company’s own direct sales force.
Key Partners
Rockwell works in conjunction with a range of companies and organisations in the development, distribution, and implementation of its solutions. These partners include:
- Supplier and Vendor Partners, comprising suppliers of raw materials, tools and resources that are utilised in the manufacture of the Company’s products, as well as services and equipment that are utilised enterprise-wide;
- Distribution and Channel Partners, comprising various independent sales agents and authorised distributors that work with the Company in selling and delivering the Company’s products to customers around the world;
- Manufacturing Partners, comprising various original equipment manufacturers that provide products and solutions that use Rockwell’s technologies;
- Technology Partners, comprising software developers and systems integrators that assist in implementing and delivering the Company’s products and integrating Rockwell functionality into third party solutions; and
- Strategic and Alliance Partners, comprising a range of market-leading companies across various sectors that collaborate with the Company on joint solutions and projects. Rockwell’s systems integrator partners include Accent Controls 2R Automation, and ABCON Electric; its original equipment manufacturer partners include Diamond Power International, NJM Packaging, and Qualtech; and its strategic partners include Cisco, Panduit, and Microsoft.
Key Resources
Rockwell’s key resources are its technologies and intellectual properties, its supply chain and materials, its manufacturing facilities, its sales and distribution infrastructure, its IT and communications infrastructure, its partnerships, and its personnel.
Rockwell owns and or leases a number of properties that are key to its ongoing activities. This notably includes its network of 12 manufacturing facilities across North America, Europe, and Asia, including in China, Switzerland, Mexico, and Poland.
Rockwell also own or licenses various patents and patent applications that are key to the development and provision of its proprietary products and solutions. Searches of records published by the US Patent and Trademark Office identified numerous patent applications filed in Rockwell’s name, including applications entitled ‘Motor control center unit withdraw with door closed’, ‘Remote industrial monitoring using a cloud infrastructure’ and ‘Remote object data property replication method and system’.
Cost Structure
Rockwell incurs costs in relation to the procurement of raw materials and equipment, the operation of its manufacturing and distribution infrastructure, the operation of its sales and marketing channels, the maintenance of its IT and communications infrastructure, the management of its partnerships, and the retention of its personnel.
In 2015 Rockwell recorded total cost of sales in the amount of $3.60 billion. The Company’s total selling, general and administrative expenses totaled $1.51 billion for the year, with the Company recording research and development costs in the amount of $307.30 million and rental expenses totalling $117.00 million.
Revenue Streams
Rockwell generates revenue through the development, manufacture, and sale of various industrial automation products and solutions across its two operating segments, including:
- Revenue derived from the sale of hardware, software and communication components; and
- Revenue derived from the sale of motor control and industrial control products and the provision of related value-added solutions and services. In 2015 Rockwell recorded total sales of $6.31 billion, down on the $6.25 billion generated by the Company in 2014. The Company’s Architecture and Software segment recorded annual sales of $2.75 billion, while its Control Products and Solutions segment recorded sales of $3.56 billion.


I was a Software Development Team Member during a 3 month project carried out by a researcher at the Scripps Institute of Oceanography. My focus was as a front-end software developer.
I worked in a team of 4 people under the supervision of a Scripps researcher. The team comprised of 4 software developers, who are all currently UCSD undergraduate students.
The team worked on continuing the development of a Convolutional Neural Network that can categorize and classify recorded fish noises according to species.
Working on this project was a good experience because I got to experience what it's like working in a team, while being monitored by a Scripps researcher. Also, I got to familiarize myself with front-end development.
Underwater Acoustics is a Scripps project, implemented under the guidance of Dr. Ana Sirovic, a researcher at the Marine Acoustics Lab of the Scripps Institute of Oceanography. The project came about by researchers at the Scripps Institute of Oceanography when they decided to deploy a detector which recorded ocean sounds following the Deepwater Horizon Oil Spill of 2010. The detector was left in the area for 7 years and has since collected a significant amount of acoustic data, much of which is comprised of fish calls.
It is often unclear to what extent human activities have damaged ocean environments and whether or not our actions have been effective in repairing damaged habitats and restoring marine populations to their former states. Our project aims to address this issue by allowing researchers to monitor trends in sea life over long periods of time.
Of the 7 years of acoustic data, researchers have been able to successfully anotate 2 years worth, classifying recurring acoustic patterns by the fish species that are believed to have produced them. This, however, is not an efficient process and even if researchers were to successfully parse all of the data, the question remains: What should be done with all of this information?
Convolutional Neural Networks. By taking the 2 years of annotated data and feeding it into a custom CNN as training data, the remaining data can be systematically organized and classified. Further, by developing a detector in parallel, the Neural Network can be used as a research tool for the long-term surveilance of sea-life populations.
Our project deliverables included three things: (1) An Automated Detector - takes in acoustic data and outputs the time of signal occurence., (2) A User Friendly Interface - an executable with means of interfacing between detector and classifier to allow researchers without a deep knowledge of MATLAB to use the tool, and (3) The Classifier - a CNN designed to classify fish species by the noises they produce.
My task, along with one other team member, was to implement a user-friendly, graphical user interface of the Convolutional Neutral Network program to improve usability.
In addition to the GUI, my teammate and I developed and maintained a website to document progress. Please check it out for more detailed information on this project and the team.
View Website →
My team decided to divide into 2 sub-teams to take on the deliverables. With that, I and one other teammate took on the task of implementing the User Friendly Interface program for the CNN.
The development and technology tools used for this project included MATLAB for development and GitHub for version control.
My teammate and I worked on implementing a GUI for the CNN so researchers of any background can easily use and navigate with data they had. I developed the interface using MATLAB's GUIDE tool and consistently tested the program throughout the development phase.
Overall, it was a great experience as I got to take part in a research project under Scripps at UCSD. I learned how to use and program in MATLAB and apply that knowledge to developing with CNNs.
Below are some images of the progress my teammate and I made midway of the project of the interface.
The images below show how the interface looks when it is opened for the first time. The user is shown a menu of what they would like to do and they select sound files they would like to begin testing.
***Unfortunately, I do not have images of how the original program worked before implementation of this project began.***
Here was my process through working on this task (quarter-long project):
Below are some more images of the progress my teammate and I made near the end of the project of the interface.
Users are able to automate the CNN and train the data. The last photo shows the overall final user interface, where users are able to complete their tasks within one whole interface.
Overall, the project was a great way to get experience on working in a team and gaining technical skills. I learned new skills, such as programming in MATLAB and developing a GUI using MATLAB'S GUIDE tool. However, that happened to also be a challenge for me. Prior to this project, I had no knowledge in programming in MATLAB. Additionally, I did not know about Convolutional Neural Networks. I overcame these obstacles by consulting my teammates for help when I needed to and doing lots of research while developing this project.
Also, throughout the project, we were well-monitored by the Scripps researcher by having bi-weekly check-ins to give updates on our progress and receiving feedback on how we were doing. At the end of the quarter, we turned in the final product and it was used to demo at a science conference the next month!