BindGadgetEvent()
语法
BindGadgetEvent(#Gadget, @Callback() [, EventType])概要
Bind a gadget event to a callback. It's an additional way to handle events in PureBasic, which works without problem with the regulars WindowEvent() / WaitWindowEvent() commands. It also allows to have real-time event notifications as the callback can be invoked as soon as the event occurs (useful for ScrollBarGadget(), ScrollAreaGadget() etc.). A gadget event can be unbinded with UnbindGadgetEvent().
参数
#Gadget The gadget to bind the event to. @Callback() The callback procedure to call when the event occurs. 它可以这样声明︰ Procedure EventHandler() ; Code EndProcedureRegular functions like EventGadget(), EventWindow(), EventMenu(), EventType() and EventData() are available within the callback to get more information about the event.
Note: WindowEvent() and WaitWindowEvent() should never be called from inside the callback or the program can be locked or have wrong behavior.EventType (optional) The event type to bind the event to. For a full list of supported types, see EventType(). #PB_All can be used to bind the event to any type.
返回值
无.
示例
Procedure ButtonHandler() Debug "Button click event on gadget #" + EventGadget() EndProcedure OpenWindow(0, 100, 100, 200, 50, "Click test", #PB_Window_SystemMenu) ButtonGadget(0, 10, 10, 180, 30, "Click me") BindGadgetEvent(0, @ButtonHandler()) Repeat Event = WaitWindowEvent() Until Event = #PB_Event_CloseWindow
参阅
BindGadgetEvent(), BindMenuEvent(), UnbindEvent(), WindowEvent(), WaitWindowEvent()
已支持操作系统
所有


{% extends "static/templates/projectBase.html" %} {% block projectContent %}
One of the most frustrating situations to find yourself in is a course where all of your friends are in the "easier section". For most of us, it feels like this happens all of the time. As part of a growing set of GPA visualizations, students in CS 205: Data Driven Discovery took the deepest dive into the GPA data to date to find out whether the perception of different sections is true or not.
Using GPA data from the most recent six semesters (Fall 2014 through Fall 2016), we found the distribution of every section/instructor group within every course. Every such group is visualized and displayed against the course average.
The distribution of final grades for a course is displayed as a stacked distribution.


enrimo - Investigate the influence of an enriched Mo isotope
perl enrimo.pl [--materials=mo_mat ...] [--isotope=mo_isot]
[--enri_lev_type=frac_type] [--enri_lev_range=frac_range]
[--min_depl_lev_global=enri_lev] [--depl_order=option]
[--inp=fname] [--out_path=path] [--out_fmts=ext ...]
[--projectiles=particle ...]
[--verbose] [--nofm] [--nopause]
This Perl program generates datasets for investigating the influence of
an enriched Mo isotope on its associated Mo material, Mo element,
and companion isotopes.
The following quantities, as functions of the enrichment level of
the Mo isotope to be enriched, are calculated for a Mo material:
- Amount fractions and mass fractions of Mo and O isotopes
- Mass fractions of Mo and O elements
- Mass and number densities of the Mo material, Mo and O elements,
and their isotopes
- Density change coefficients (DCCs) of Mo and O isotopes
Multiple values are separated by the comma (,).
--materials=mo_mat ... (short: --mats, default: momet)
all
All of the following mo_mat's.
momet
Mo metal
moo2
Mo(IV) oxide (aka Mo dioxide)
moo3
Mo(VI) oxide (aka Mo trioxide)
--isotope=mo_isot (short: --isot, default: mo100)
Mo isotope to be enriched.
mo92
mo94
mo95
mo96
mo97
mo98 <= Mo-98(n,g)Mo-99
mo100 <= Mo-100(g,n)Mo-99, Mo-100(n,2n)Mo-99, Mo-100(p,2n)Tc-99m
--enri_lev_type=frac_type (short: --type, default: amt_frac)
The fraction type to refer to the enrichment level.
amt_frac
mass_frac
--enri_lev_range=frac_range (short: --range, default: 0,0.0001,1)
The range of enrichment levels to be examined.
e.g. 0.1,0.5 (beg,end; incre is automatically determined)
e.g. 0,0.001,1 (beg,incre,end)
e.g. 0,0.00001,1 (beg,incre,end)
--min_depl_lev_global=enri_lev (short: --global, default: 0.0000)
The minimum depletion level that applies to all the nuclides
associated with the designated Mo materials. Overridden, if given,
by nuclide-specific minimum depletion levels.
e.g. 0.0007
--depl_order=option (short: --order, default: ascend)
The order in which the Mo isotopes other than the to-be-enriched one
will be depleted.
ascend (short: asc)
Ascending order of mass number
descend (short: desc)
Descending order of mass number
random (short: rand, alt: shuffle)
Random order
--inp=fname (short: -i)
An input file specifying the nuclide-specific minimum depletion levels
and the calculation precision. See the sample input file for the syntax.
e.g. 0p9739.enr
--out_path=path (short: --path, default: the value of -isotope)
Path for the output files.
--out_fmts=ext ... (short: -o, default: dat,xlsx)
Output file formats.
all
All of the following ext's.
dat
Plain text
tex
LaTeX tabular environment
csv
comma-separated value
xlsx
Microsoft Excel 2007
json
JavaScript Object Notation
yaml
YAML
--projectiles=particle ... (short: --projs, default: none)
Reaction projectiles for associating the product nuclides with DCCs.
If designated, the relevant reporting files are generated
in addition to the default output files.
all
All of the following particles.
g
Photon <= Mo-100(g,n)Mo-99
n
Neutron <= Mo-98(n,g)Mo-99, Mo-100(n,2n)Mo-99
p
Proton <= Mo-100(p,2n)Tc-99m
--verbose (short: --verb)
Display the calculation process in real time. This will pause
the shell each time a core calculation routine is called; use it
only when debugging or checking part of the calculation process.
--nofm
The front matter will not be displayed at the beginning of program.
--nopause
The shell will not be paused at the end of program.
Use it for a batch run.
perl enrimo.pl --type=mass_frac --range=0,0.00001,1
perl enrimo.pl --mats=moo3 --global=0.0005 --verb
perl enrimo.pl --mats=momet,moo3 --range=0.0974,0.0001,0.9739 --inp=0p9739.enr
Perl 5
Text::CSV, Excel::Writer::XLSX, JSON, YAML
enrimo in a paper: J. Phys. Commun. 3 (2019) 055015
Jaewoong Jang<EMAIL_ADDRESS>Copyright (c) 2018-2020 Jaewoong Jang
This software is available under the MIT license; the license information is found in 'LICENSE'.


Our poupular Doctors
These are some of our best doctors in jordan
Dr.. Salman Habash,
" born in 1963. He completed his secondary education from Terra Sanctuary College in Amman in 1980. He completed his general medicine studies in 1987 with a grade of “very good.”
Dr. Awni Abu Halima
Member of the American University of Psychiatry, Member of the International Psychiatric Association, Member of the Jordanian Psychiatric Association.
Dr. Malik Al-Gamzawi
Internal Medicine Specialist - Jordanian Board Fellow of Cardiovascular Diseases / University of Jordan Bachelor of General Medicine and Surgery / University of Jordan Internal Medicine Specialist at Prince Hamzah Hospital
Dr. Imad Abu Ramh
" The British Royal College of Surgeons-London The Jordanian Board of Otolaryngology and Surgery Member of the Jordanian Society of Otolaryngology, Head and Neck"
Dr. Duha Al-Shalaldah
Consultant gynecologist, obstetrics, infertility, gynecological beautification, urinary incontinence problems, in addition to following up on pregnant women, childbirth cases, infertility cases, IVF and vaccination
Dr. Rana Al-Khatib
is a dentist who graduated from the University of Jordan in 2009. She worked at Al-Hada Military Hospital in Saudi Arabia and obtained high scientific and practical experience.
Dr. Muhannad Al Zoubi
Orthopedic and joint surgery specialist. He holds the Jordanian Board Certificate in Orthopedic and Joint Surgery, the Arab Board and the European Board. Dr.
Dr. Mohamed Abu Samak
American Fellowship - Henry Ford Hospital Michigan, British Fellowship Glasgow British Fellowship Edinburgh Former Assistant Professor at the College of Medicine and University Hospital of Jordan.


Hipchat Integration
The RAMADDA Hipchat plugin provides a number of services for integrating RAMADDA search and content management services
with
Atlassian HipChat.
Searching and Accessing Data
Using Hipchat's "/slash" commands you can configure a Hipchat room to support searching and navigating
a RAMADDA repository. Along with its own content RAMADDA can provide search services to over 150 sources of content
and data incuding Google, YouTube, Flickr and PubMed to name just a few.
- From your HipChat Room go to the Integrations page. Choose "Find New" and "Build your own". Click on "Add a command".
- Enter the name of the slash command, e.g. "/ramadda".
- In the "We will POST to this URL" enter your RAMADDA HipChat API URL, e.g.:
http://<your host>repository/hipchat/api?ramadda_key=<some secret key>
The ramadda_key should be a secret key. This is what is used to authenticate with RAMADDA later.
- Copy the "Send messages to this room by posting to this URL" URL.
- To enable HipChat to talk with your RAMADDA you will create a HipChat Harvester.
- Login to RAMADDA as an administrator and go to the Admin->Harvesters page.
- Select New Harvester and select "Hipchat Harvester". (If you don't see it in the list then you don't have the hipchat plugin installed). You'll see something like:
- Specify the name of the harvester and a base entry that is used for navigation in HipChat.
- Specify the ramadda_key secret key that was in the URL provided to HipChat
- Enter the HipChat URL in the "Web Hook URL" field.
- To publish files back to HipChat you need to create a HipChat API token. Go to the HipChat API page, e.g. -
https://ramadda.hipchat.com/account/api. Create a token with the "Send ..." and "View ..." scopes selected. Enter the token for the harvester.
- Test it out. From HipChat enter the following message. This should return a help message.
/ramadda ?
To search your RAMADDA enter:
/ramadda search some text
You can also search any of the external search providers within RAMADDA. To search other sites enter:
/ramadda search -provider google birds
Or as a shortcut:
/ramadda search -google birds
Other providers include:
/ramadda search -quandl economic data
/ramadda search -flickr bees
/ramadda search -youtube flowers
/ramadda search -ncbi_pubmed medical
/ramadda search -eia energy
/ramadda search -fred economic data
etc.
You can make a slash command that is a short cut to search. Go and create the command, maybe naming it "/search". The URL that points to your RAMADDA should have:
https://<your host>/repository/hipchat/api?ramadda_key=<some secret key>&command=search
And create a harvester and provide the secret key.
To search just enter:
/search -provider flickr birds
Importing Hipchat Rooms and Messages
You can dynamically import HipChat Rooms and Messages into RAMADDA and display
them in any number of ways.
First, get an API key from your HipChat server, e.g.:
https://ramadda.hipchat.com/account/api
They key should have "View Group", "View Messages" and "View Room" permissions.
RAMADDA Event Notification
RAMADDA allows you to send notifications of new content to a Hipchat chat room using an
Entry Monitor.
- Go to your user settings page when logged into RAMADDA and there is a Monitors link. Select "New Hipchat Action".
- Specify a search criteria to apply and enter the Hipchat message URL that is available from the Room Integrations page in Hipchat. Whenever a new entry is created in RAMADDA a notification message will be sent to HipChat.
Jira Integration
RAMADDA can be configured to search an external Jira repository.
Note: for now this only supports publicly accessible Jira servers.
To configure searching Jira create a
classes.txt, e.g., jira_classes.txt, and place it in the plugins directory under your RAMADDA home directory. Add the below lines and restart your RAMADDA.
#Format:
#org.ramadda.plugins.atlassian.JiraSearchProvider;<ID>;<BASE URL>;<LABEL>
#e.g.:
org.ramadda.plugins.atlassian.JiraSearchProvider;apache;https://issues.apache.org/jira;Apache JIRA
org.ramadda.plugins.atlassian.JiraSearchProvider;spring;https://jira.spring.io;Spring JIRA
org.ramadda.plugins.atlassian.JiraSearchProvider;twitter4j;http://jira.twitter4j.org;Twitter4J JIRA
To configure searching a Confluence site add:
#Format:
#org.ramadda.plugins.atlassian.ConfluenceSearchProvider;<ID>;<BASE URL>;<LABEL>
#e.g.:
org.ramadda.plugins.atlassian.ConfluenceSearchProvider;atlassian;https://confluence.atlassian.com;Atlassian Confluence Site


Question
Find the contiguous subarray within an array (containing at least one number) which has the largest product.
For example, given the array [2,3,-2,4]
,
the contiguous subarray [2,3]
has the largest product = 6
.
Analysis
This is a pretty difficult question. It’s hard to write bug-free solution if you have never practised before.
So the first idea that comes to me is the case of array element = 0. Why this case? cuz the maximum subarray MUST NOT CONTAIN 0 unless the input is like {-1, 0, -1}. So we could divide array from 0s and calculate max sum seperately. This idea is good, though a little difficult in coding. Read it here or here.
Solution
After a bit exploration, I found a must easier apporach, thanks to code ganker and Yu. The idea is to simply ALWAYS CALCULATE preMax and preMin by using MAX/MIN(Val1, Val2, Val3) method.
My Code
public class Solution {
public int maxProduct(int[] A) {
if (A == null || A.length == 0) {
return 0;
} else if (A.length == 1) {
return A[0];
}
int preMax = A[0];
int preMin = A[0];
int max = A[0];
for (int i = 1; i < A.length; i++) {
int temp = preMin;
preMin = Math.min(Math.min(preMin * A[i], preMax * A[i]), A[i]);
preMax = Math.max(Math.max(temp * A[i], preMax * A[i]), A[i]);
max = Math.max(max, preMax);
}
return max;
}
}


{% extends "base_empty.html" %} {% import 'macros/form.html' as f with context %} {% block content %}
Hi {{ name.capitalize() }},
We will send your result by email shortly.
Cheers, Frank


Eye Chart
Eye Chart Settings
Visual Acuity
Astigmatism
Light Sensitivity
Near Vision 1
Near Vision 2
Color Vision
AMD


Install through npm
:
If you are using SystemJS, you should also adjust your configuration to point to our UMD bundle, similar to this:
Once installed you need to import our main module.
The only remaining part is to list the imported module in your application modules that make use of the components in this library:
This repository contains a Angular rich mentions component. It allows for customizable mention display and custom searching. The only required dependencies are:
We strive to support the same browsers and versions as supported by Angular. Check browser support notes for Angular.
Our code is automatically tested on all the supported browsers.


Situational Awareness for Novel Epidemic Response - Local Development build (v0.1.0). See the Directory of published versions
This section defines the actors and transactions in this implementation guide.
Figure 1.1-1 below shows the actors directly involved in the SANER Profile and the relevant transactions between them.
Figure 3-1: SANER Actor Diagram
Table 3-1 lists the transactions for each actor directly involved in the SANER Implementation Guide. To claim compliance with this guide, an actor shall support all required transactions (labeled “R”) and may support the optional transactions (labeled “O”).
| Actors | Transactions | Optionality |
|---|---|---|
| Measure Source | Query Measure [PULL-TX] | C 1 |
| Produce Measure [PUSH-TX] | C 2 | |
| Measure Consumer | Communicate Results [REPORT-TX] | R |
| Query Measure [PULL-TX] | C 3 | |
| Produce Measure [PUSH-TX] | C 4 | |
| Measure Intermediary |
Query Measure [PULL-TX] As Measure Source |
C 1 |
|
Produce Measure [PUSH-TX] As Measure Source |
C 2 | |
|
Communicate Results [REPORT-TX] As Measure Consumer |
R | |
|
Query Measure [PULL-TX] As Measure Consumer |
C 3 | |
|
Produce Measure [PUSH-TX] As Measure Consumer |
C 4 |
Notes:
This transaction is required when the Measure Source implements the Pull Option.
This transaction is required when the Measure Source implements the Push Option.
This transaction is required when the Measure Consumer implements the Pull Option.
This transaction is required when the Measure Consumer implements the Push Option.
The actors in this profile are described in more detail in the sections below.
The Measure Source Actor reports results for a single facility, collection of facilities or aggragated data for a region
TBD
The Measure Consumer provides access to aggregated or fine-grained data gathered from one or more Measure Sources.
The Measure Intermediary is a grouping of a Measure Source with a Measure Consumer.
This actor represents the composition of a Measure Source with a Measure Source.
A Measure Consumer that implements the Dump and Pull Options that is grouped with a Measure Source implementing the Push and API Options can be used as a bridge to adapt a Meaure Source implementing the Dump and Push options to communicate with a Measure Consumer implementing the API and Push options.
A Measure Consumer that implements the API Option and Push Option that is grouped with a Measure Source implementing the Pull and API Options is essentially the definition of a FHIR Server.
A Measure Consumer that implements the API and Pull Option can be grouped with a Measure Source implementing the Push, API and Fine-Grained option to “slice and dice” Measure Reports into Groups, populating a Measure Consumer with fine-grained data from a Measure Source. This adapter can be used to add the Fine Grained Option to a Measure Repository.
Options that may be selected for each actor in this guide, are listed in Table 3.2-1 below. Dependencies between options when applicable are specified in notes.
| Actor | Option Name |
| Measure Source | Storage Option |
| API Option | |
| Push Option | |
| Pull Option | |
| Bed Option | |
| Asset Option | |
| Group Option | |
| Measure Consumer | Storage Option |
| API Option | |
| Push Option | |
| Pull Option | |
| Bed Option | |
| Asset Option | |
| Group Option | |
| Measure Intermediary | No Options Defined |
The options in this guide are describe in more detail the sections below.
An actor implementing the Storage Option supports the ability to exchange FHIR Resources through various means of simple data transfer, rather than directly through a FHIR API call. This include mechanisms such as SFTP, S3 Blob Storage, Azure Blob Storage, a Message Queue, https: File Download, File System dumps, or Direct Messages with a data payload. Supported formats include JSON, XML and NDJSON.
This option applies to the actors as described below.
A Measure Source actor implementing the Storage Option uses external storage to communicate data.
A Measure Consumer actor implementing the Storage Option uses external storage to communicate data.
An actor implementing the API Option supports the ability to exchange FHIR Resources using FHIR RESTful APIs.
This option applies to the actors as described below.
An Measure Source actor implementing the API option uses FHIR RESTful APIs to communicate data.
An Measure Consumer actor implementing the API option uses FHIR RESTful APIs to communicate data.
An actor implementing the Push Option supports the periodic push of resources describing the current status of health delivery resources to a centralized collection point.
This option applies to the actors as described below.
A Measure Source implementing the Push Option periodically sends updates to a Measure Consumer using the Produce Measure transaction.
An Measure Consumer implementing the Push Option periodically recieves updates from the Measure Source using the Produce Measure transaction.
An actor implementing the Pull Option supports the periodic pull resources describing the current status of selected health delivery resources.
This option applies to the actors as described below.
A Measure Source implementing the Pull Option is periodically queried by an Measure Consumer using the Query Measure transaction to enable collection of the current status.
An Measure Consumer implementing the Pull Option periodically queries a Measure Source using the Query Measure transaction to enable collection of the current status.
An actor supporting the Bed Option can describe the status of beds.
This option applies to the actors as described below.
An Measure Source implementing the Bed Option generates data on beds.
An Measure Consumer implementing the Bed Option consumes data about beds.
An actor supporting the Asset Option can describe the status of non-bed treatment resources, such as ventilators, respirators, infusion pumps, monitoring equipment, et cetera
This option applies to the actors as described below.
An Measure Source implementing the Asset Option generates data on other Assets (e.g., ventilators, respirators, PPE, and other equipment or supplies).
An Measure Consumer implementing the Asset Option consumes data about other Assets (e.g., ventilators, respirators, PPE, and other equipment or supplies).
An actor supporting the Group Option can work with Group resources representing individual strata values extracted from a Measure Report
This option applies to the actors as described below.
An Measure Source implementing the Group Option can produce reports using the Group Resource.
An Measure Source implementing the Group Option can consume reports using the Group Resource.
The transactions in this profile are summarized in the sections below.
The Query Measure transaction allows a Measure Consumer to periodically query about the availability of a resource from an Measure Source.
For more details see the detailed transaction description
The Produce Measure transaction allows an Measure Source to periodically report on availability of resources to a Measure Consumer.
For more details see the detailed transaction description
The Communicate Results transaction allows users (e.g., Public Health Officials) to view current resource availability, or other systems to access resource availability data.
For more details see the detailed transaction description


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@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import include._ @import uk.gov.hmrc.thirdpartydeveloperfrontend.controllers.checkpages.ContactForm @import uk.gov.hmrc.thirdpartydeveloperfrontend.domain.models.views.BackButtonWithJavaScript @import uk.gov.hmrc.thirdpartydeveloperfrontend.domain.models.applications.Application @import uk.gov.hmrc.thirdpartydeveloperfrontend.domain.models.developers.DeveloperSession @import views.html.helper.CSPNonce @this(devMain: DevMainWithFormErrors) @(app: Application,form: Form[ContactForm], action: Call)(implicit request: play.api.mvc.Request[Any], loggedIn: DeveloperSession, messages: Messages, applicationConfig: ApplicationConfig) @pageHeading = @{ "Who to contact about your application" } @devMain( form, title = pageHeading, userFullName = loggedIn.loggedInName, back = BackButtonWithJavaScript, developerSession = Some(loggedIn) ) {
This should be the person in your organisation who can answer questions about how your software is built.


New to Property Manager? View the Property Manager Product Overview and Quick Start from the User Guide. You can also access the user guide at any time from inside Property Manager by clicking on the Support Center button.
Ciirus, Inc
1012 Emmett St
Kissimmee FL, 34741
Calling from outside USA call: +1<PHONE_NUMBER>
Have questions about the software? Look here to learn about editing features, settings, and how to get the most from Ciirus Property Manager.
If you have a question regarding the Property Manager software and require technical support submit a ticket from the support center help desk and select Product Support from the category list. A member of the Ciirus team will contact you.
If you have a question regarding sales or billing, contact customer care using the support center help desk and select Sales and Billing from the category list. A member of the Ciirus team will contact you.


Paragon Real Estate Multiple Listing Service API Interface
For Automated Four-Square Analysis of Rental Properties
This program takes in an ID from a Paragonrels.com or fnimls.com URL and automatically populates your own copy of this Google Spreadsheet in order to calculate Cash Flow and Cash-on-Cash Return for investment properties. No coding experience necessary.
Row 2 of the spreadsheet has formulas that automatically populate with calculations for each new row. I recommend leaving these formulas in place.
This spreadsheet was derived from the PDF available at BiggerPockets.com
You can try out a live demo of the program at https://rentals.earlyrewirement.com/app. Go to the Google Sheet and click File > Make a Copy if it doesn't ask you to copy automatically. Make your own copy of the Google spreadsheet linked above and copy your own Google Sheet's ID (derived from the URL https://docs.google.com/spreadsheets/d/{SPREADSHEET_ID}) to the Google Sheet ID box on the form. The only required fields are the Google Sheet ID in the field at the bottom, and the MLS number(s) pasted in the big text box.
I've tested this with globalmls, imls, hudson, gamls, and triangle regions/system IDs I found on Twitter. Other *.paragonrels.com regions may or may not work out of the box. Change the System ID accordingly.
You should have an agent send you a listing from your region's MLS in order to get the GUID ("MLS ID") from the URL, which is used to pull the listings in that ID, but this is not necessary.
Alternatively, if you know your local MLS System ID, you can pass that in along with a text file containing a list of MLS numbers you're interested in analyzing. The System ID is usually the subdomain of *.paragonrels.com or *.fnimls.com but this may be different for your region. Given only the System ID and the MLS number, the Paragon API can return the listing's information.
However, each MLS system is slightly different in the formatting of their listings (and sometimes, listings within the same MLS system are different from each other) and thus, the json result from the get_properties() function is formatted differently and parses slightly differently. If you encounter errors in parsing the json even though the json files are properly created in the "listings" folder, you may need to adjust the parse_json() code inside the nested try-except blocks to fit your listings' general format so it can be parsed properly.
Check out and modify the source code on GitHub!Donate
If you like this program, please donate using any of the methods below!
Square Cash http://cash.me/$digitalkid
Venmo https://venmo.com/earlco
PayPal http://paypal.me/earlco
BTC 12icq2NfvXDYExaH3a4FVnWJwerb1oj31Z
ETH 0x234AD7D3225dC28f2B292cCBE05CdD321C4aCC5B
LTC LQymEUqGK9dBeugi2bNNtt4LEGpm6bMYjJ
NEO/GAS ALfeqEsmEexzk5RFGUZinedMAtjnfUz4f7
If you want me to build a version for YOUR region, please reach out by email: earl@earlyrewirement.com


Dylan R. Schlichting
618 Eller O&M Building
400 Bizzell St
College Station, TX 77840
I am a PhD candidate in the Oceanography Department at Texas A&M University. I use a combination of numerical simulations with pen and paper analysis to study spurious (i.e., numerically-induced) salt mixing over the Texas-Louisiana continental shelf in the northern Gulf of Mexico. More broadly, I am interested in understanding the larger-scale impacts of submesoscale (small-scale) processes in the upper ocean.
I received my B.S. in civil engineering and minor in mathematics from the University of Maine in December 2019. As an undergraduate, I was an NSF REU scholar here at TAMU with Dr. Rob Hetland and worked on a number of coastal engineering projects at UMaine with Dr. Kimberly Huguenard. We have a paper in Ocean and Coastal Management discussing the Sensing Storm Surge project, which established a citizen science program to monitor storm surge in several Maine estuaries and rivers. Click here for more information.
My graduate research with Dr. Hetland focuses on quantifying numerical mixing in a regional model of the Texas Louisiana continental shelf (TXLA). Numerical models are powerful tools for studying ocean mixing, however they are prone to numerical issues because they represent physical processes with discrete approximations. Numerical mixing is one such error; the process by which the discretized advection (i.e., transport) of ocean tracers results in spurious mixing. Numerical mixing can introduce biases in the model and cause it to drift away from reality. We have a forthcoming paper that analyzes numerical mixing in the TXLA model in the Journal of Advances in Modeling Earth Systems.
With my background in coastal engineering, I am also interested in estuarine dynamics. We have a new in Journal of Physical Oceanography that focuses on developing simple approximations to estuarine mixing using the idea of mixing pathways, which is the mixing a water mass experiences during its flow pathway. For the case of a classical estuary, mixing is caused by the input of freshwater from the river and the exchange flow that happens at the estuary mouth. Click here for more information.
Here is a link to my CV.
Research Interests
- Physical Oceanography
- Coastal Ocean modeling
- Estuarine Physics
Education
- PhD. in Oceanography, Texas A&M University, (Expected Aug. 2024)
- B.S. in Civil Engineering, University of Maine, (Dec. 2019)
- Minor in Mathematics
Publications
-
Schlichting, D., Qu, L., Kobashi, D, and Hetland, R. D. (2023). Quantification of physical and numerical mixing in a coastal ocean model using salinity variance budgets. Journal of Advances in Modeling Earth Systems, 15, e2022MS003380. https://doi.org/10.1029/2022MS003380. Forthcoming.
-
Qu, L., Hetland, R. D., & Schlichting, D. (2022). Mixing pathways in simple box models. Journal of Physical Oceanography. https://doi.org/10.1175/JPO-D-22-0074.1.
-
Spicer, P., Schlichting, D., Huguenard, K., Roche, A., and Rickard, L. (2021). Sensing Storm Surge: A framework for establishing a citizen scientist monitored water level network. Ocean and Coastal Management, 211, 105802. https://doi.org/10.1016/j.ocecoaman.2021.105802.


Interface DownloadManager.Listener
-
- All Known Implementing Classes:
TestDownloadManagerListener
- Enclosing class:
- DownloadManager
public static interface DownloadManager.Listener
Listener forDownloadManager
events.
-
-
Method Summary
All Methods Instance Methods Default Methods Modifier and Type Method Description default void
onDownloadChanged(DownloadManager downloadManager, Download download, Exception finalException)
Called when the state of a download changes.default void
onDownloadRemoved(DownloadManager downloadManager, Download download)
Called when a download is removed.default void
onDownloadsPausedChanged(DownloadManager downloadManager, boolean downloadsPaused)
default void
onIdle(DownloadManager downloadManager)
Called when there is no active download left.default void
onInitialized(DownloadManager downloadManager)
Called when all downloads have been restored.default void
onRequirementsStateChanged(DownloadManager downloadManager, Requirements requirements, @com.google.android.exoplayer2.scheduler.Requirements.RequirementFlags int notMetRequirements)
Called when the download requirements state changed.default void
onWaitingForRequirementsChanged(DownloadManager downloadManager, boolean waitingForRequirements)
Called when there is a change in whether this manager has one or more downloads that are not progressing for the sole reason that theRequirements
are not met.
-
-
-
Method Detail
-
onInitialized
default void onInitialized(DownloadManager downloadManager)
Called when all downloads have been restored.- Parameters:
downloadManager
- The reporting instance.
-
onDownloadsPausedChanged
default void onDownloadsPausedChanged(DownloadManager downloadManager, boolean downloadsPaused)
- Parameters:
downloadManager
- The reporting instance.downloadsPaused
- Whether downloads are currently paused.
-
onDownloadChanged
default void onDownloadChanged(DownloadManager downloadManager, Download download, @Nullable Exception finalException)
Called when the state of a download changes.- Parameters:
downloadManager
- The reporting instance.download
- The state of the download.finalException
- If the download is transitioning toDownload.STATE_FAILED
, this is the final exception that resulted in the failure.
-
onDownloadRemoved
default void onDownloadRemoved(DownloadManager downloadManager, Download download)
Called when a download is removed.- Parameters:
downloadManager
- The reporting instance.download
- The last state of the download before it was removed.
-
onIdle
default void onIdle(DownloadManager downloadManager)
Called when there is no active download left.- Parameters:
downloadManager
- The reporting instance.
-
onRequirementsStateChanged
default void onRequirementsStateChanged(DownloadManager downloadManager, Requirements requirements, @RequirementFlags @com.google.android.exoplayer2.scheduler.Requirements.RequirementFlags int notMetRequirements)
Called when the download requirements state changed.- Parameters:
downloadManager
- The reporting instance.requirements
- Requirements needed to be met to start downloads.notMetRequirements
-RequirementFlags
that are not met, or 0.
-
onWaitingForRequirementsChanged
default void onWaitingForRequirementsChanged(DownloadManager downloadManager, boolean waitingForRequirements)
Called when there is a change in whether this manager has one or more downloads that are not progressing for the sole reason that theRequirements
are not met. SeeDownloadManager.isWaitingForRequirements()
for more information.- Parameters:
downloadManager
- The reporting instance.waitingForRequirements
- Whether this manager has one or more downloads that are not progressing for the sole reason that theRequirements
are not met.
-
-


Intrepid 2.7 engine noise after water pump replacement - YouTube
Sep 17, 2012 . Intrepid 2.7 engine noise after water pump replacement . Chrysler Mastertech 1997 - Introduction to 2.7L, 3.2L, 3.5L V6 engines -- Part 2by .
http://www.youtube.com/watch?v=CLY5WluDQj4
35 Miles from Center
free hieroglyphics for kids


Uhh...It's Cheat Day!
You see, it's cheat day today, so this page is probably hiding somewhere muching on some junk food. Either that or maybe you made a mistake with the link. Eitherway, let's keep this just between us. Drop us an email so we can secretly fix this issue.


1. Contributors¶
The contributors ar listed here in alphabetical order
put your names here (put your real names here and sort
- Vafa Andalibi
- David Michael Demeulenaere
- Bo Feng
- Yu Luo,
- Rui Li
- Gregor von Laszewski (primary contact<EMAIL_ADDRESS>- Fugang Wang
- Sachith Danushka Withana,
- Kimball Wu
Code Contributions can be seen at


BERT is short for Bidirectional Encoder Representation from Transformers, which is the Encoder of the two-way Transformer, because the Decoder cannot get the information to be predicted. The main innovation for the model is in the pre-trained method, which uses Masked Language Model and Next Sentence Prediction to capture the word and sentence level representation respectively. This allows us to use a pre-trained BERT model by fine-tuning the same on downstream specific tasks such as sentiment classification, intent detection, question answering and more.
Google Research recently open-sourced implementation of BERT and also released the following pre-trained models:
In the following example, I will use bert-base-uncased pre-trained model.
In BERT, the embedding is the summation of three types of embeddings:
where:
We have to convert the input to the feature that is understood by BERT.
BERT-Base, uncased uses a vocabulary of 30,522 words. The processes of tokenization involves splitting the input text into list of tokens that are available in the vocabulary. In order to deal with the words not available in the vocabulary, BERT uses a technique called BPE based WordPiece tokenization.
Here I use pre-trained BERT for binary sentiment analysis on Stanford Sentiment Treebank.
- BertModel
- embeddings: BertEmbeddings
- word_embeddings: Embedding(28996, 768)
- position_embeddings: Embedding(512, 768)
- token_type_embeddings: Embedding(2, 768)
- LayerNorm: FusedLayerNorm(torch.Size([768])
- dropout: Dropout = 0.1
- encoder: BertEncoder
- BertLayer
- attention: BertAttention
- self: BertSelfAttention
- query: Linear(in_features=768, out_features=768, bias=True)
- key: Linear(in_features=768, out_features=768, bias=True)
- value: Linear(in_features=768, out_features=768, bias=True)
- dropout: Dropout = 0.1
- output: BertSelfOutput(
- dense: Linear(in_features=768, out_features=768, bias=True)
- LayerNorm: FusedLayerNorm(torch.Size([768]),
- dropout: Dropout =0.1
- intermediate: BertIntermediate(
- dense): Linear(in_features=768, out_features=3072, bias=True)
- output: BertOutput
- dense: Linear(in_features=3072, out_features=768, bias=True)
- LayerNorm: FusedLayerNorm(torch.Size([768])
- dropout: Dropout =0.1
- pooler: BertPooler
- dense: Linear(in_features=768, out_features=768, bias=True)
- activation: Tanh()
- dropout: Dropout =0.1
- classifier: Linear(in_features=768, out_features = 2, bias=True)


{% extends 'layout.html' %} {% block content %}
The Power full application powered by Python. You can autologin almost every site! even passing HTTP Auth.


Logging in lets you save and share your code
Be careful: if you choose to delete a file, you will not be able to recover it unless you've saved a copy
Lighter colours are great for coding at day time. Some people prefer coding at night:
Darker colours look more like a command prompt. Lighter colours look more like an app window:
Running your code line by line can be a useful way of finding bugs
Choosing a longer time between animating each line helps you understand and explain your code as it runs
Making your output window transparent helps you see your code underneath


{% extends 'oadb/layout.html' %} {% block content %}
Adapters are short sequences that are attached to cDNA templates during preparation of next generation sequencing (NGS) libraries. Depending on the preparation of the NGS library and how it is sequenced, the raw NGS data may be contaminated with the adapter sequences. See Didion et al. 2017 for more details.
Adapter trimming is a critical component of NGS data preprocessing. To trim adapters appropriately, it is necessary to know the sequences of the adapters that were used. However, adapter sequences are poorly documented and often are not included in the metadata of public database submissions (SRA, ENA, and DDBJ).
AdapterBase provides an API and web page, together with a database, supporting the following use cases:


Intel Security Group is an American global computer security software company headquartered in Santa Clara, California, and the world's largest dedicated security technology company.
Come early! Beer and pizza being served starting at 6PM, and presentations start at 7PM.


React Boiler plate mounted with Material UI, Redux Form / Formik, Redux State Management, Moment to quickly up and run with forms to dispatch JSON ready for HTTP Clent (Axios)
User Management Application for Real Estate Company with an automation to retrieve User's/Property Information. Symfony Web Framework and Full Stack React
Projects built on MERN, MEAN stack and Ruby on Rails


Base class for date operations
Holds the weekdays of the week starts with sunday at index 0
The base date that is used to calculate date operations
Creates a new Temp and initializes it with the current date if no date is provided
# File lib/syctimeleap/time_leap.rb, line 23 def initialize(date = Time.now.to_date) @now = date end
Determines whether to move back or forward in time and returns the distance in days, weeks, months or years Example: move(10, ‘d’) adds 10 days to :now
# File lib/syctimeleap/time_leap.rb, line 67 def add(direction, count, distance) count = direction.downcase == 'b' ? -count.to_i : count.to_i case distance when 'd' @now + count when 'w' @now + count * 7 when 'm' @now >> count when 'y' @now >> count * 12 end end
Provides the date calculation methods dynamically
# File lib/syctimeleap/time_leap.rb, line 28 def method_missing(name, *args) add_regex = %r{ ^([ib])(?:n|ack)? (?:\.|_|-| )? (\d+) (?:\.|_|-| )? ([dwmy]) (?:ays?|eeks?|onths?|ears?)?$ } weekday_regex = %r{ ^(tod|tom|y)(?:a?y?|o?r?r?o?w?|e?s?t?e?r?d?a?y?)?$ }i next_weekday_regex = %r{ ^(n|p)(?:e?x?t|r?e?v?i?o?u?s?)? (?:\.|_| |-)? (mo|tu|we|th|fr|sa|su) (?:n?|e?s?|d?n?e?s?|u?r?s?|i?|t?u?r?|n?)(?:d?a?y?)$ }i next_weekday_in_regex = %r{ ^(mo|tu|we|th|fr|sa|su) (?:n?|e?s?|d?n?e?s?|u?r?s?|i?|t?u?r?|n?)(?:d?a?y?)(?:_?) (i|b) (?:n?|a?c?k?)(?:_?) (\d+)(?:_?)([dwmy])(?:a?y?s?|e?e?k?s?|o?n?t?h?s?|e?a?r?s?)$ }i return add($1, $2, $3) if name =~ add_regex return weekday($1) if name =~ weekday_regex return next_weekday($1, $2) if name =~ next_weekday_regex return next_weekday_in($1, $2, $3, $4) if name =~ next_weekday_in_regex super end
Returns the next or previous weekday Exampel: next_monday or n_mo Su Mo Tu We Th Fr Sa
0 1 2 3 4 5 6 x Today * Next Wednesday @now + (3 - 1 + 7) % 7 = +2 x Today * Next Sunday @now + (0 - 4 + 7) % 7 = +3 x Today * Previous Wednesday @now + (3 - 2 + 7) % -7 = -6 x Today * Previous Tuesday @now + (2 - 4 + 7) % -7 = -2
# File lib/syctimeleap/time_leap.rb, line 111 def next_weekday(direction, abbreviated_weekday) count = direction.downcase == 'n' ? 1 : -1 weekday = WEEKDAYS[abbreviated_weekday.downcase] raise "No valid weekday: #{abbreviated_weekday}" if weekday.nil? offset = @now.send("#{weekday[1]}?") ? count * 7 : 0 @now + (weekday[0] - @now.wday + 7) % (count * 7) + offset end
Returns the next weekday in n days, weeks, month or years Example: monday_in_3_weeks or mo_i_3_w
# File lib/syctimeleap/time_leap.rb, line 123 def next_weekday_in(weekday_abbreviation, direction, count, distance) count = direction.downcase == 'b' ? -count.to_i : count.to_i weekday = WEEKDAYS[weekday_abbreviation.downcase] case distance.downcase when "d" when "w" (@now + count * 7) + weekday[0] - @now.wday when "m" future = @now >> count future + weekday[0] - future.wday when "y" future = @now >> count * 12 future + weekday[0] - future.wday end end
Returns yesterday, today or tomorrow
# File lib/syctimeleap/time_leap.rb, line 84 def weekday(weekday) case weekday when 'tod' @now when 'tom' @now + 1 when 'y' @now - 1 end end


Experiment 01: Youtube API
YouTube's service is used by many companies and organizations to host promotional material, advertisements and educational videos. The YouTube Player API for iFrame Embeds can be used to implement additional listeners for player events, load videos and playlists, and more custom functionality. Examples with a brief explanation and code snippet are included below.


Please submit all requests through our form and we'll promptly respond.
Start Your Request Form
This past year we’ve seen unprecedented growth, in large part because clients like you took a chance on us as a young, hungry company looking to prove itself. In an effort to maintain the highest level of customer satisfaction, we’ve built an online form allowing you to submit all your website requests.


Kendall Roy Is Actually Extremely Hot
by Chloe GillespieKendall Roy from Succession is hot.
I’ve got a thing for sad rich characters — I can admit that. It’s my punishment for being pro Chuck Bass when I was 14 and didn’t know any better. There’s unfortunately been a long line of sad rich, often hot, boys in my pop culture past.
Related
It’s pretty easy to spot a sad hot rich boy on TV: their parents are either dead or emotionally abusive, they’re well educated, boyishly handsome, and I’m pretty sure floppy hair is mandatory. All of this tends to make them pretty isolated and tortured, with a reputation for being a bit of a bad boy.
Mr Darcy was probably my earliest introduction to the sad rich boy. After which, there was a quick succession (lol) of the archetype: Edward Cullen, the aforementioned Chuck Bass and Nate Archibald, Logan Echolls, and even John Barton from Looking for Alibrandi.
And see, I’ve been hot for them all — but there’s been a void in this category for a while that Succession’s Kendall Roy has somehow, inexplicably, filled.
My teenage years were full of sad rich boys, but as I have grown up, so has the trope. Kendall is no sad rich boy — he’s a sad rich MAN.
He’s still sad, and still rich, but the archetype has evolved. He doesn’t have the typical boyish hotness associated with the trope. And he couldn’t really be called a bad boy either: he’s too uncool. Those Lanvin sneakers in season 1? Come on!
Kendall Roy is not a great dude.
So — WHY is he still so appealing, even without these key traits? Why does he make me [redacted]? Why do I still want him to inherit my vast estates, if you know what I mean?
Let’s investigate.
*Contains spoilers for Succession season 1 and 2!*
Fashion Kendall
Starting with appearances — Kendall is an unlikely heartthrob: he’s unconventionally attractive and he’s full of contradictions. He has a deep, breathy voice, but he stutters and mumbles through most conversations. He’s extremely vulnerable, but has some of the best posture I’ve ever seen.
My favourite thing about Kendall is his fashion sense. His clothes scream money without showing any logos. He tends to be safe in his day-to-day workwear: well-fitting suits with a white shirt and no tie.
But his more casual looks are bizarrely experimental. In one scene he wears a puffy vest AND a puffy suit-style jacket. It has lapels! He’s two thirds the way to having a full puffy three-piece suit.
And I have to reference his infamous Dust meeting outfit — Kendall tries his hand at tech-bro smart casual by wearing an untucked graphic t-shirt, suit, and the ugliest sneakers I have personally ever seen. These are the clothes of a man in a downward spiral, and we really can’t hold that against him.
He’s also a lover of hats, perhaps influenced by Logan’s baseball caps. It’s the straw trilby that completes his super yacht look in the season 2 finale that finally convinced me that this man can truly wear anything.
There’s something about the confidence in which he wears clothes that makes him super hot. Even when it’s a custom baseball jersey with a bow tie.

Unlike the rest of the Roy family, Kendall has a moral compass. He doesn’t always follow it, sure, but it is functional. He spends all of season 2 in a coke-addled, broken state, trying to deal with the fact that he basically killed someone.
We’re drawn to Kendall because he needs saving, and maybe we’re the ones that can save him?
 You only need to look at Logan Echolls from Veronica Mars to see how feeling sorry for the poor little rich boy helps turn him into an (extremely) desirable love interest — conveniently wiping his misdemeanours, such as his history of paying homeless people to fight for his entertainment.
Even confident Kendall is tinged with vulnerability. Take the scene in the third episode of the first season, when Kendall is acting CEO and is trying to take control of Logan’s mysterious loan issue. There’s this incredible moment where Kendall tells the banking partner to ‘fuck off’, trying to imitate his father’s signature phrase, but his retort comes out flat with none of the vitriol that Logan imbues in it.
This inability to be quite as ruthless as his father is what continues to endear Kendall to the audience — he’s a puppy dog at heart.
Cocky Kendall
Rich characters are often played with a fair amount of smugness, but for Kendall there are only a few moments where he is confident enough in his decisions to be truly cocky.
After solving the company’s debt issue, Kendall takes his semi-estranged wife Rava to a fancy dinner. Now, if you’re not already convinced that Kendall has a certain appeal, this scene will truly push you over the edge.

Two, he speaks French, granted he says “all of the rabbit” but honestly, I’m vegan and I was dying to share all of the rabbit with him.
Three, he takes Rava back to his Upper East Side apartment, and well let’s say, there’s nothing like solving a multi-million-dollar debt issue to make you horny.
Four, I would like to present without further comment, that the first sexual thing we see Kendall do is give head.
Succession is currently streaming on Foxtel Now.
Chloe Gillespie works for Junkee and she’ll have all of the rabbit with some Greg sprinkles. Her work is featured right here, on FBi Radio’s All The Best, and on a Tumblr she used to run about her parents.


Practice-Based Learning and Improvement in Osteopathic Medical Practice
Fundamental Epidemiologic Concepts
Clinical Decision-Making Tools
Evidence-based Medicine Principles and Practice
Clinical Significance of Research Evidence and Statistical Inferences
Translating Evidence into Practice and Continuous Learning
Continuous Evaluation, Feeback, and Reflection for the Improvement of Osteopathic Clinical Practice


Service Finder
Data dashboard
Showing data for all Service Finder users from 08 July 2018 to 07 August 2018.
Searches by service type
last 31 days
6,212
Show all days
Searches for a named service
| W |
T |
M |
S |
S |
F |
T |
W |
T |
M |
S |
S |
F |
T |
W |
T |
M |
S |
S |
F |
T |
W |
T |
M |
S |
S |
F |
T |
W |
T |
M |
| 31 |
30 |
29 |
28 |
27 |
26 |
25 |
24 |
23 |
22 |
21 |
20 |
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18 |
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16 |
15 |
14 |
13 |
12 |
11 |
10 |
09 |
08 |
07 |
06 |
05 |
04 |
03 |
02 |
01 |
Back to summary
- 01 August Wed 210
- 31 July Tue 236
- 30 July Mon 394
- 29 July Sun 256
- 28 July Sat 217
- 27 July Fri 200
- 26 July Thu 321
- 25 July Wed 304
- 24 July Tue 298
- 23 July Mon 265
- 22 July Sun 197
- 21 July Sat 167
- 20 July Fri 276
- 19 July Thu 234
- 18 July Wed 165
- 17 July Tue 178
- 16 July Mon 211
- 15 July Sun 230
- 14 July Sat 251
- 13 July Fri 203
- 12 July Thu 201
- 11 July Wed 187
- 10 July Tue 332
- 09 July Mon 176
- 08 July Sun 224
- 07 July Sat 264
- 06 July Fri 235
- 05 July Thu 213
- 04 July Wed 202
- 03 July Tue 253
- 02 July Mon 145
- 01 July Sun 176
- Total 6,212
Data correct at 18:00 01 August 2018


Service is not responding
The service is currently not responding to HTTP requests. Please check
check whether it is running properly.
The service is currently not responding to HTTP requests. Please check
check whether it is running properly.


Audio samples for CHiVE
Audio samples for CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network, Wan, V., Chan, C.-a., Kenter, T., Vit, J., and Clark, R. A., Proceedings of the Thirty-sixth International Conference on Machine Learning (ICML 2019), 2019.
Samples that go with the main experiment
These samples go with the side-by-side experiments (i.e., Table 1 in the paper).
Samples of further evaluations
These samples go with the MOS test (i.e., Section 4.2, Table 2 in the paper).
These samples are of randomly sampled pitch contours (i.e., Section 4.2, Figure 4 in the paper).
Samples of prosody transfer
These samples go with the prosody transfer illustrations (i.e., Section 4.3, Figures 5 and 6 in the paper, and some additional ones).


HTML is all the ingredients of a cake. CSS is the style and proportions of the cake and how it's presented. For example, maybe our cake is a chocolate spongecake. HTML would be the cake and it's ingredients. CSS would be what shape that cake was, what kind of coloring is added, how it is presented. Both are equally important. If you were to observe a page of HTML without any styling (CSS), it would most likely look terribly bland. CSS we can move titles, create space, add color and even animations. You don't want to be presented a plain spongecake right?
Say you've been neglecting your wardrobe for a while and it's a complete mess. Your t-shirts are laying around, questionably stained jumpers are crawling from the drawers and you can't remember if those jeans belong to you or your flatmate. If we were to tidy it all up, we'd be doing a loop of tidying. We would loop this behavior until the task was completed. The process would look something like: Pick up clothing - observe clothing - Is it clean? If yes, is it a shirt? If yes, put it on the hanger. Is it messy? Put it in the wash. These are known as If statements which can be used within a loop. The loop would keep running until a condition is met, which would be that there are no more clothes laying around. The hierarchy of actions is known as Control Flow.
DOM stands for Document Object Model. It describes the structure of an HTML document. The document is the web page, usually referring to the HTML. Every element within the document is an object (Spans, divs, h1s etc). We can manipulate these objects using JavaScript. We can remove, add and change elements. Nodes are anything we can change within an HTML document (objects). We can also change the text within elements, as they are seperate nodes. Html attributes are also nodes. For example, classes, styles or href attributes. We can change these nodes and interact these nodes. For example, we can change the text within an element when you click on it.
A function in programming is a block of reuseable code that is used to perform an action. For example, if I have an array of numbers [1,2,3,4,5] and I wanted to create a new array with only odd numbers inside the array, I could write a function to do that. There are three parts to a function: input, process and output. Using my example of sorting an array into odd numbers, the input would be the array, the process would be the calculation which separates odd numbers from even numbers, and the output would the new array which has all of the odd numbers inside. This function can be reused for any array that we put in. We could store the array as a variable and simply call the function, passing through our array as a parameter. This is incredibly useful, as now we can reuse this function without having to write out a calculation each time.


Given random effect values, find 'typical' instances.
find_typical(model, re = NULL, probs = NULL, ...)
| model | A supported model, see extract_random_effects. |
|---|---|
| re | The name of the grouping variable for the random effects. Default
is |
| probs | Quantile probabilities. |
| ... | Other arguments to pass to extract_random_effects. |
A data frame that is a subset of extract_random_effects()
.
In many cases, predictions are made by holding the random effects to zero, which can be seen as the typical case. When the clusters carry substantive meaning, for example, school, country, or hospital, it might be of interest to note which are most 'typical', or at any other value relative to their peers.
By default, this finds the labels associated with random effects that are closest to zero. Alternatively, one can specify quantile probabilities rather than the 'typical' value.
One should see the results as examples, not definitive. Depending on the results of the model, even differences from the lowest valued estimated random effect and the highest may not be statistically notable.
Not surprisingly, different estimation procedures may produce different random effect estimates. As such, you may get a different result from say, the lme4 vs. glmmTMB package. In addition, because nlme doesn't automatically handle crossed random effects, you will potentially get a label that is not actually seen in the data, but reflects the nesting of multiple grouping factors. I don't care enough about nlme usage to do anything about this at present.
library(mixedup) library(lme4) lmer_1 <- lmer(Reaction ~ Days + (1 + Days | Subject), data = sleepstudy) find_typical(lmer_1, re = 'Subject')#> # A tibble: 2 x 7 #> group_var effect group value se lower_2.5 upper_97.5 #> <chr> <chr> <fct> <dbl> <dbl> <dbl> <dbl> #> 1 Subject Days 333 -0.224 2.31 -4.74 4.29 #> 2 Subject Intercept 335 -0.334 12.1 -24.0 23.3


{% extends 'base.html' %} {% load bootstrap3 %} {% block title %} Delete Reimbursement for User {{ reimbursement_user }} | {{ block.super }} {% endblock %} {% block content %}
The total amount for this reimbursement is {{ reimbursement.amount }} DKK
Really delete this reimbursement?
{% endblock content %}


Create an on-screen search capable of replacing the remote control as an input device, ensuring that it would work across all YouView devices and products
BT TV
2019
Lead Designer
As shareholders were starting to invest more in the YouView product, we aligned product roadmaps
to create a unified approach across the main investors.
With one eye on the future road
map, we were instructed to investigate ways for a user to interact with the software without
relying on the remote control.
The first phase for this was an on-screen keyboard, allowing the shareholders to have more
freedom with conceptual work of future remote controls for new versions of their hardware
Although the search was the main function of the onscreen keyboards, we also had to keep an eye
on other areas of the interface where a keyboard would be used instead of physical buttons.
One main area would be entering passwords, especially for internet connection set-up. We would
need to include an easy way for users to enter special character s which would not be common in
normal search queries
If we didn’t move ahead with this project, we were seriously limiting our
shareholders with their
creative process. We knew there was a desire to remove letters from the physical remote control,
and our insights told us that it would lead to confusion and irritation from our userbase.
We also opened up the ability for another way the user could interact with the box, in turn
allowing new and improved features such as voice recognition input to be brought into the
project.
I was the lead designer on this project, working alongside a wider design team as well as in
house development and a mixture of external and internal QA testing team. This allowed us to
explore and experiment with prototypes built directly into the set-top box using HTML5
technology, for fast iterations and tweaks.
As part of the research into this project, the UX&Design team came together to look at
competitors and the different styles they had used for their own on-screen keyboard. We made
a
conscious effort to not limit ourselves to only TV interfaces and had a wide range of
examples
from across the globe.
These examples were then critically reviewed for their pros and cons, approaching each
example
with a set of personas to try to get the widest thought process and practicality.
These Pros/Cons were then grouped into parent features and then ranked in order of
importance by
the team. Together we were able to then come up with a rough concept that we could present
back
to stakeholders which we were all aligned on.
We approached this project with a keen goal of getting as much user feedback as possible. We
launched an on-screen dialogue asking for people who would be interested in joining a user
testing session to communicate with.
The approach for testing was to use two
different
versions of the keyboard that we had decided upon as a team.
I designed a few variations and through selections and narrowed down the design until we reached
a common consensus for the design. We had to look at many different flows when it come to the
keyboard.
At certain instances such as WiFi password entry, we had to work out how to
easily implement the symbol section of the keyboard. As a user may have to flick between
uppercase, lowercase, number and symbols we explored how to show all these characters at the
same time.
You can see here the variations we took further than sketchbooks and made into visual designs
Alongside the variations, i also crafted variations of the button press animation would be on the onscreen keyboar. This video shows 4 different variations of how i envisioned the interaction could be implemented, with the use of CSS animation.
I wanted to ensure any results we hypothesis would come into fruition so we needed to get
the
designs in front of as many live users as possible.
Using a third-party agency we recruited several people to be exposed to two different
versions
of the design. These people would be a range of people from across the TV spectrum. As well
as
key demographic areas, we also wanted a split between Retail, BT and TalkTalk subscribers,
with
a smaller number of users who currently used either Sky or Virgin.
This was accomplished with the use of the Framer.JS prototyping tool, which in turn was set up
to two different TVs in a living room style enviroment. By utalising a
FLIRC
USB
we could use a remote control to actually control the Framer prototype, further adding weight to
our testing in a real world scenario
We would run a participant through a series of tasks, each time noting where and how they
navigated the search section they would have been introduced to earlier in the session.
Once the user had completed these set tasks with the live software, we would then take them
through one of the two new versions, alternating with each user and run the same tasks and
finally with the second new version. This eliminated any bias on first introduction of a
keyboard and it being an overwhelming change in the current interaction pattern.
These sessions were recorded with permission, and then were shared amongst the wider team
not
undertaking the sessions, to allow them access to real users thoughts and journeys.
We then collated the evidence gained in these user sessions to help guide our design process
After gaining the data from our user testing sessions, we had a clear understanding of which way
the general consensus fell in regards to the designs. The final design would have to take
inspiration from both designs, but with a leaning towards a three-line narrow concept. We were
able to adjust the design based on the feedback and then presented our findings back to the
relevant stakeholders.
Luckily there was a great deal of trust in the team that we had produced a viable
solution to the problem briefed and we got the green light to implement the work into our
upcoming sprints.
I worked very closely with the development team to ensure that we could get as accurate
implementation onto the set-top box as possible. This was one of the main reason we shared our
user feedback so widely. To ensure what we designed was technically feasible with the
limitations of low powered devices.
We decided that some animations be turned off for these lower powered devices via feature switch
on the backend, allowing the higher quality boxes to still shine.
The final designs were implemented into the youview set-top box, with the highest quality
CSS
animations implemented on the higher-powered BT 4K box.
I also maintained the ability for users with sight problems to have an accessible version of
the
onscreen keyboard following the styles and conventions of the high contrast mode previously
released to the public
The BT and TalkTalk shareholders took the design in a slight different direction with the end result. Their own design affected shape and colour of the branding but not any of the journeys or interaction patterns


---
title: Other changes
version: "5.3"
tags:
- "5.3"
- other
---
Other changes
-
SplFileInfo::getpathinfo() now returns information about
the path name.
-
SplObjectStorage now has
ArrayAccess support. It is now also possible to
store associative information with objects in
SplObjectStorage.
-
In the GD extension, there is now pixelation support available through
the imagefilter() function.
-
var_dump() output now includes private object properties.
-
session_start() now returns
false
when session startup
fails.
-
property_exists() now checks the existence of a property
independent of accessibility (like method_exists()).
-
Stream wrappers can now be used by
include_path.
-
The
initial
parameter for
array_reduce() can now be of any type.
-
The directory functions
opendir(), scandir(), and
dir() now use the default stream context if no explicit
context is passed.
-
crypt() now has Blowfish and extended DES support, and
crypt() features are now 100% portable. PHP has its own
internal crypt implementation which drops into place when support for
crypt
or crypt_r
is not found.
-
getopt() now accepts "long options" on all platforms.
Optional values and
=
as a separator for short options
are now supported.
-
fopen() has a new mode option (
n
),
which passes O_NONBLOCK
to the underlying
open()
system call. Note that this mode is not currently
supported on Windows.
-
getimagesize() now supports icon files (.ico).
-
The mhash extension have moved to PECL, but the
Hash extension have been modified to support
mhash if PHP is compiled with
--with-mhash
. Note that the
Hash extension does not require the mhash library to be available whether or
not the mhash emulation is enabled.


Praxis is a world-class strategic consultancy firm based in Israel. We specialize in helping individuals, groups and organizations that face Disruptive Changes to reframe their strategies.
Praxis is very friendly web-app, using canvas html5 and cool design.
Praxis is a world-class strategic consultancy firm based in Israel. We specialize in helping individuals, groups and organizations that face Disruptive Changes to reframe their strategies.
Praxis is very friendly web-app, using canvas html5 and cool design.
Praxis is a world-class strategic consultancy firm based in Israel. We specialize in helping individuals, groups and organizations that face Disruptive Changes to reframe their strategies.
Praxis is very friendly web-app, using canvas html5 and cool design.


Adds a callback that is fired every time Pointer.processInteractiveObjects
is called. The purpose of processInteractiveObjects
is to work out which Game Object the Pointer is going to interact with. It works by polling all of the valid game objects, and then slowly discounting those that don't meet the criteria (i.e. they aren't under the Pointer, are disabled, invisible, etc).
Eventually a short-list of 'candidates' is created. These are all of the Game Objects which are valid for input and overlap with the Pointer. If you need fine-grained control over which of the items is selected then you can use this callback to do so.
The callback will be sent 3 parameters:
1) A reference to the Phaser.Pointer object that is processing the Items. 2) An array containing all potential interactive candidates. This is an array of InputHandler
objects, not Sprites. 3) The current 'favorite' candidate, based on its priorityID and position in the display list.
Your callback MUST return one of the candidates sent to it.


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HELLO KITTYHas No Mouth and She Must ScreamCreated in 1974 by Sanrio, Hello Kitty has become the single most popular cartoon character in Japan. While most popular universal characters like Snoopy or Mickey Mouse have scads of creative output that led to the merchandising of their images, Hello Kitty has avoided that time-consuming process and cut right to the chase. Hello Kitty (and related Sanrio characters) have been licensed out to so many items in so many ways that it's almost untraceable. If an item is capable of sustaining a Hello Kitty-shaped icon for any period of time, then that item has been made and sold."Surely, you're being dramatic" you might say. No, no we're not. Hello Kitty notebooks? Yup. Hello Kitty computers? Done it. Motorcycles? Yes. Toasters? Yes. Vibrators? Yes. Sanrio might know the exact number, but over ten thousand items have recieved their permission to put Hello Kitty's visage upon them. In the quarter-century plus that this Feline Merchandise-ball has rolled back and forth across Japan, it's only stressed the obvious: Japanese are weird, strange people who do odd things in large groups. Hello Kitty is just an easy-to-demonstrate manifestation of that. "The universalization of cute" or "The icon-laden society of cutting-edge-japanese", the media will write, grappling for the right combination of words to describe a general trait in the Japanese Population: Adapt it, sell it, improve it, and sell it again, hopefully all within the same week. Speculate all you want about the "meaning" of Hello Kitty, but realize that the whole of the philosophy can be summed up in one cry, one single sound: The sound of a cash register going ka-ching. |


Valliammai Engineering College was established on September 9, 1999 and presently conducts 7 Under graduate courses and 8 Post graduate courses. The college has highly qualified, dynamic and dedicated renowned faculty both from academic and industrial background. Besides, the students bring laurels to the college by securing university ranks. The Valliammai Engineering College is a part of the SRM Group of Educational Institutions, sponsored by the Valliammai Society. The Valliammai Society was founded by Dr.T.R.Paarivendhar , a well-known educationist, in the name of his mother Tmt. R.Valliammai, under whose care and guidance he attained greater heights in his personal development and whose ideals continue to inspire him.
“Educate to excel in Social Transformation” To accomplish and maintain international eminence and become a model institution for higher learning through dedicated development of minds, advance ment of knowledge and professional application of skills to meet the global demands.
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ORKESTRIM 2k17 is geared up with inclination towards integrating the three top-tier realms IOT, AUTOMATION & ROBOTICS under the KINGSHIP of Instrumentation Engineering.
Now the National level technical symposium is at our beck and we call you to ride through a melange of Esoteric and Non-esoteric events.
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“The independently operable network of automations with no necessary compatibility with results of possible uncertainty is called Internet of Automated Intelligence ” This is a network system that is operated without human dependancy with the tendency to mimic human behavior and thinking patterns to connect and intelligently control automated systems with no necessary compatibility.
Inplant Training in Chennai & Coimbatore for Engineering Students Now with a sense of responsibility towards the society, UNIQ TECHNOLOGIES has framed a new initiative called INPLANT TRAINING, which will enable Engineering students to join our facility at Chennai and gain hands on experience in Software Solution development.
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IEEE 2016 Final Year Project UNIQ is the best project center in chennai. Uniq Technologies offers IE 2016 final year projects for BE/B.Tech Students.Uniq technologies offers final year projects in Java,Dotnet,Android,Oracle,Ns2, Matlab and Embedded Systems .Uniq Technologies offers IEE 2016 final year projects for CSE / IT / ECE / EEE / EIE students.
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Mr.V.Suresh Kumar,
Asst. Professor (Sr.G)
Mr.I.Andrew Xavier Raj,
Asst. Professor (O.G)
Student Member Committee :
President : Divya Bharathi C (99400 47940)
Vice-President : Pranav M (98840 12783)
Secretary : Rathna Kumar R
Joint Secretary : Gary Paul Thomas D
Treasurer(s) : Balakrishna T,Vignesh Kumar V
Exhibitor : Aneesur Rahman S
Designer : Sandeep B


Methods
(static) Volume#snapshots(id, page or queryObjectopt, perPageopt, callbackopt)
List of snapshot objects from this volume.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
id |
number | ID of Droplet for which to retrieve snapshots | |
page or queryObject |
number | object |
<optional> |
page number to retrieve or key value pairs of query parameters |
perPage |
number |
<optional> |
number of result per page to retrieve |
callback |
listRequestCallback |
<optional> |
callback that handles the response |
- Source:
action(dropletId, parametersOrType, callbackopt)
Create an action on the identified Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
parametersOrType |
string | object | The name of the action to create or an object with key value pairs of parameters. | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
actionByTag(name, actionType, callbackopt)
Delete the Droplets associated with the tag identified by the name.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
name |
string | The name of the tag for which to delete Droplets. | |
actionType |
string | The type of action to perform. See the official docs for accepted actions. | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
backups(id, page or queryObjectopt, perPageopt, callbackopt)
List backup objects that are backups of the Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
id |
number | ID of Droplet for which to retrieve backups | |
page or queryObject |
number | object |
<optional> |
page number to retrieve or key value pairs of query parameters |
perPage |
number |
<optional> |
number of result per page to retrieve |
callback |
listRequestCallback |
<optional> |
callback that handles the response |
- Source:
changeKernel(dropletId, parametersOrKernelId, callbackopt)
Recreate the Droplet from the identified distribution image.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
parametersOrKernelId |
number | object | If a number, the identifier of the kernel to use. Otherwise, an object with required keys of `kernel`. See the official docs for valid attributes. | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
create(attributes, callbackopt)
Create a Droplet object.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
attributes |
object | The attributes with which to create the Droplet. See the official docs for valid attributes. | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
delete(id, callbackopt)
Delete the identified Droplet object.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
id |
number | The id of the Droplet to retrieve | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
deleteByTag(name, callbackopt)
Delete the Droplets associated with the tag identified by the name.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
name |
string | The name of the tag for which to delete Droplets. | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
disableBackups(dropletId, callbackopt)
Disable backups on the identified Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
enableBackups(dropletId, callbackopt)
Enable backups on the identified Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
enableIPv6(dropletId, callbackopt)
Enable IPv6 networking on the identified Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
enablePrivateNetworking(dropletId, callbackopt)
Enable private-to-the-datacenter networking on the identified Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
get(id, callbackopt)
Get the identified Droplet object.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
id |
number | The id of the Droplet to retrieve | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
getAction(dropletId, id, callbackopt)
Get the identified action object.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to retrieve the action | |
id |
number | The id of the action to retrieve | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
kernels(id, page or queryObjectopt, perPageopt, callbackopt)
List kernel objects.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
id |
number | ID of Droplet for which to retrieve kernels | |
page or queryObject |
number | object |
<optional> |
page number to retrieve or key value pairs of query parameters |
perPage |
number |
<optional> |
number of result per page to retrieve |
callback |
listRequestCallback |
<optional> |
callback that handles the response |
- Source:
list(page or queryObjectopt, perPageopt, callbackopt)
List Droplet objects.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
page or queryObject |
number | object |
<optional> |
page number to retrieve or key value pairs of query parameters |
perPage |
number |
<optional> |
number of result per page to retrieve |
callback |
listRequestCallback |
<optional> |
callback that handles the response |
- Source:
listActions(id, page or queryObjectopt, perPageopt, callbackopt)
List of action objects.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
id |
number | ID of Droplet for which to retrieve actions | |
page or queryObject |
number | object |
<optional> |
page number to retrieve or key value pairs of query parameters |
perPage |
number |
<optional> |
number of result per page to retrieve |
callback |
listRequestCallback |
<optional> |
callback that handles the response |
- Source:
neighbors(id, page or queryObjectopt, perPageopt, callbackopt)
List of Droplet objects that are physically co-located with the Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
id |
number | ID of Droplet for which to retrieve neighbors | |
page or queryObject |
number | object |
<optional> |
page number to retrieve or key value pairs of query parameters |
perPage |
number |
<optional> |
number of result per page to retrieve |
callback |
listRequestCallback |
<optional> |
callback that handles the response |
- Source:
passwordReset(dropletId, callbackopt)
Reset the root user's password on the identified Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
powerCycle(dropletId, callbackopt)
Power cycle the identified Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
powerOff(dropletId, callbackopt)
Power off the identified Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
powerOn(dropletId, callbackopt)
Power on the identified Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
reboot(dropletId, callbackopt)
Reboot the identified Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
rebuild(dropletId, parametersOrImage, callbackopt)
Recreate the Droplet from the identified distribution image.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
parametersOrImage |
string | number | object | If a string, the slug of the distribution image to use. If a number, the identifier of the distribution image to use. Otherwise, an object with required keys of `image`. See the official docs for valid attributes. | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
rename(dropletId, parametersOrHostname, callbackopt)
Change the hostname of the identified Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
parametersOrHostname |
string | object | If a string, the hostname to change the Droplet to. Otherwise, an object with required keys of `name`. See the official docs for valid attributes. | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
resize(dropletId, parametersOrSizeSlug, callbackopt)
Change the available resources for the identified Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
parametersOrSizeSlug |
string | object | If a string, the name of the size to change the Droplet to. Otherwise, an object with required keys of `size`. See the official docs for valid attributes. | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
restore(dropletId, parametersOrImageId, callbackopt)
Recreate the Droplet from the identified image snapshot or backup.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
parametersOrImageId |
number | object | If a number, identifier of the image to use. Otherwise, an object with required keys of `image`. See the official docs for valid attributes. | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
shutdown(dropletId, callbackopt)
Shutdown the identified Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
snapshot(dropletId, parametersOrName, callbackopt)
Create a snapshot image of the identified Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
dropletId |
number | The id of the droplet for which to create the action | |
parametersOrName |
string | object | If a string, the name of the created image. Otherwise, an object with required keys of `name`. See the official docs for valid attributes. | |
callback |
requestCallback |
<optional> |
callback that handles the response |
- Source:
snapshots(id, page or queryObjectopt, perPageopt, callbackopt)
List of image objects that are snapshots of the Droplet.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
id |
number | ID of Droplet for which to retrieve snapshots | |
page or queryObject |
number | object |
<optional> |
page number to retrieve or key value pairs of query parameters |
perPage |
number |
<optional> |
number of result per page to retrieve |
callback |
listRequestCallback |
<optional> |
callback that handles the response |
- Source:


This package provides the servlets used by the provisioning server for the Data Router application. URLs are from the document URLs for DR Release 1 Version 1.2.
| URL Path | Symbolic Name | Servlet Name | Allowed Methods | |||
|---|---|---|---|---|---|---|
| / | <drFeedsUrl> | {@link com.att.research.datarouter.provisioning.DRFeedsServlet} | DELETE | GET | POST | PUT |
| /feed/feedid | <feedUrl> | {@link com.att.research.datarouter.provisioning.FeedServlet} | DELETE | GET | POST | PUT |
| /publish/feedid | <publishUrl> | {@link com.att.research.datarouter.provisioning.PublishServlet} | DELETE | GET | POST | PUT |
| /subscribe/feedid | <subscribeUrl> | {@link com.att.research.datarouter.provisioning.SubscribeServlet} | DELETE | GET | POST | PUT |
| /feedlog/feedid | <feedLogUrl> | {@link com.att.research.datarouter.provisioning.FeedLogServlet} | DELETE | GET | POST | PUT |
| /subs/subid | <subscriptionUrl> | {@link com.att.research.datarouter.provisioning.SubscriptionServlet} | DELETE | GET | POST | PUT |
| /sublog/subid | <subLogUrl> | {@link com.att.research.datarouter.provisioning.SubLogServlet} | DELETE | GET | POST | PUT |
| /internal/* | <internalUrl> | {@link com.att.research.datarouter.provisioning.InternalServlet} | DELETE | GET | POST | PUT |
| /internal/route/* | <routeUrl> | {@link com.att.research.datarouter.provisioning.RouteServlet} | DELETE | GET | POST | PUT |


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The Sixth Sense Rating (out of five): *1/2 Starring Bruce Willis, Haley Joel Osment, Toni Collette and Olivia Williams Directed by M. Night Shyamalan Written by Shyamalan Rated PG-13 for intense situations Theatrical aspect ratio of 1.85:1 Released in 1999 Running 106 minutes
Under any other circumstances, I would not be discussing the ending of a film to the extent that I will in this particular review. However, in order to fully explain exactly how and why this movie is so awful, a minute dissection of the ending is necessary. Even though I will not reveal the details of the last scenes, do proceed at your own risk.
The movie opens (quite poorly, I might add) as child psychologist Malcolm Crowe (Bruce Willis, looking like he was dragged out of his trailer at the wee hours of the morning to shoot each scene) and his wife are intruded upon by one of Malcolm's past patients. Distraught, the suicidal man (a cameo by New Kid on the Block Donnie Wahlberg) shoots Malcolm and then turns the gun on himself.
Cut to the "next fall", as we find the good doctor quietly observing his latest case, a trouble young man named Cole (Haley Joel Osment, one of the only child actors in a while I didn't want to bludgeoned over the head with a blunt instrument). After about 45 minutes of seemingly unrelated freak occurrences, we learn that Cole has "the sixth sense", the gift of being able to communicate with the dead. And this, as they say, is where the healing begins.
The Sixth Sense and its unexpected popularity is founded upon a twist ending that I knew going into the film (one of Roger Ebert's colleges was kind enough to give it away on a recent segment of "Siskel and Ebert"). Although I was at first enraged that an established film critic could so callously ruin a film for thousands of patrons, I soon realized that this turn of events could in fact have been a blessing in disguise; I've always been a sucker for surprise endings (my favorite movie is The Usual Suspects) and rarely dislike a film that sports one. Here, since I knew the major plot twist that was coming at the film's conclusion, the possibly of being bamboozled into loving a bad movie solely because of its ending (something I've fallen victim to in the past) was eliminated.
And indeed, my viewing of The Sixth Sense did prove to be quite an enlightening experiment. Stripped of the element of surprise, the film was put to the task of showing what it really had, instead of simply hiding behind a shocking conclusion. After seeing its true colors, I came to the conclusion that The Sixth Sense is, despite what the many champions of the movie may say, void of any real power. It's a neat concept, but not one that justifies being made into a feature-length movie.
In fact, The Sixth Sense relies so strongly on its finale that the rest of the film develops as a sort of prelude to the supposedly earth-shattering revelation that is yet to come. And when the final moments do come, it's a huge letdown; the end makes no sense at all.  I won't go into any details, but suffice to say that, as far as I can tell, it negates to rest of the movie to such an extent that anyone who buys it even for a second must be suffering from a very acute case of Attention Deficit Disorder.
 However, I feel very confident that I, as well as anyone who had seen a few "Twilight Zone" episodes, would have seen it coming a mile away. The fact that movie-goers nation wide are surprised by the ending still has me stumped.
Ironically, to fully appreciate the best scene (that of Cole and Malcolm attending a little girl's funeral), the viewer is required to be aware of a very rare psychological disorder called Munchausen Syndrome by Proxy. I wouldn't have even known about this mental disease if I hadn't, by pure dumb luck, caught "Dateline NBC" the other week when they did a feature story on it.
Despite being blessed with some really amazing cinematography and a brauva performance from Osment (where was this kid when casting calls were going out for The Phantom Menace?), in the end, The Sixth Sense is too chalk-full of contradictions and just isn't plausible enough to warrant even a slight recommendation.
*Find all of Jason's reviews online at http://www.geocities.com/Hollywood/Boulevard/7475
**Complimentary movie ticket courtesy of Valley Cinemas at http://www.movie-tickets.com
Copyright 1999 Jason Wallis
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Magister Marina:
Go to
Blacksmith Brunon of the Dwarven Village
and bring back to me what I ordered from him.


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Live Updates: 2019 Bayelsa State Governorship Election
by George OgboluElectorates will today, November 16, 2019, head to polling units to participate in the Bayelsa State Governorship election.
Naija News reports that the Independent National Electoral Commission (INEC) had fixed today for the Bayelsa and Kogi States Guber polls.
Today’s election will determine who would take over from Governor Seriake Dickson and govern Bayelsa for the next four years.
The governorship election will be keenly contested between David Lyon of the All Progressives Congress (APC) and Senator Douye Diri of the Peoples Democratic Party (PDP).
The High Court sitting in Yenagoa had dismissed the candidate of the APC, but the Court of Appeal, Port Harcourt, dismissed the ruling and asked the APC to participate in today’s election.
Other candidates include: Accord Party, Ebizimo Diriyai; African Action Congress (AAC), Kalango Stanley Davies; Alliance for Democracy, Owei-Tongu Woniwei; Alliance National Party (ANP), Kunde Noah.
Stick and reload this Naija News page for the latest news from Bayelsa state.
LIVE UPDATES…
3:00 pm: Counting has commenced in Ogbia LGA Ward: 02 PU: 6.
2:22 pm: Voting was still going on in Brass LGA Ward 1 PU:15 because of the large turnout of voters.
1:06 pm: Governor Seriake Dickson has cast his vote in the 2019 governorship election in Bayelsa State which held on Saturday, November 16.
The Governor arrived at the polling unit in the company of his wife, Rachel.
Dickson and his wife, were at Ward 2, PU 5, Torí-Orua community in Sagbama LGA of the state to cast their ballots.
12: 45 pm: the Independent National Electoral Commission (INEC) has cancelled the election in Ologi (Ward 03) of Ogbia Local Government Area (LGA), Bayelsa State.
Naija News reports that the election was cancelled due to violence.
It was gathered that violence in the area, including manhandling of electoral officials led to the cancellation.
12: 19 pm: The Governorship candidate of the Peoples Democratic Party (PDP), Senator Douye Diri, alongside his wife have cast their vote in the Bayelsa Guber election.
Naija News reports that they cast their vote at Polling Unit Unit 4 and Unit 3 respectively at about 10.30 am in Yenagua, Bayelsa State.
11:55 pm: Former President Goodluck Jonathan has cast his vote in the ongoing Bayelsa State Governorship election.
10:45 am: The Deputy Governorship candidate of the Peoples Democratic Party (PDP), Senator Lawrence Erujakpo, has cast his vote in the Bayelsa Guber election.
Naija News reports that Ofoni community is the home town of Erujakpo.
10:00 am: INEC officials are yet to arrive Sampou Community which is the ward of the PDP Guber candidate Douye Diri.
There are eight polling units in his Sampou/Kalama ward 6. But neither materials for the poll or the INEC officials have arrived.
9: 30 am: At Opolo in Yenagoa there was a report of massive shooting, but calm is said to have returned to the area as security personnel took over.
As at 9.00 am election materials started arriving polling units in Ward 4, Unit 12 Ekenpai.
9:10 AM: Accreditation has started and there is no issue reported with the smart card reader at Ward 4 in Odoware Town Hall in Bayelsa State.
8:40 am: Card reader malfunction has been reported at Polling Unit 8 in Ward 4 in Nembe LGA of Bayelsa State.
8: 30 am: Former President Goodluck Jonathan has lamented the late arrival of election officers for the Bayelsa Governorship election.
Jonathan is currently at ward 13, polling unit 39 in Otuoke, to cast his vote.
8:00 am: Electoral officers have since arrived at different polling unit, with vote commencing in some.


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