Simple proposal densities for spaces of arbitrary dimension.
More...
|
| template<typename R , typename... Ts> |
| std::function< void(std::pair< R, std::tuple< Ts... >> &) > | make_proposal_density (void rng(R &), std::tuple< Ts... > a, auto m) |
| |
Simple proposal densities for spaces of arbitrary dimension.
◆ make_proposal_density()
template<typename R , typename... Ts>
| std::function< void( std::pair<R, std::tuple<Ts...>>& ) > make_proposal_density |
( |
void |
rngR &, |
|
|
std::tuple< Ts... > |
a, |
|
|
auto |
m |
|
) |
| |
Returns proposal density, which for a pair (rng_state, x)
, advances rng_state
and x
such that x = x + dx
with dx
found as described below. Note that if x
is a tuple, the equation x = x + dx
should be considered element-wise, and advance of rng_state*
is doing for every element of the tuple x
.
- Parameters
-
| rng | a random number generator which takes and advances its state |
| a | an amplitute to be used by method m |
| m | a methot to produce dx from rng_state and a . To get dx evenly distributed in (-a, a) use appropriate *_cast_with_amplitude function from rng.hpp (i.e. pm_cast_with_amplitude() if pm_rng() is used). Note also that the proposal distribution should be symmetric in the metropolis algorithm that constrains the choose of m . |


{% extends "base.html" %} {% block content %}
Your name is {{ user.first_name }} {{ user.last_name }}, username {{ user.username }}, email {{ user.email }}
All the exchanged messages have been logged to stdout in case you want to look at them.
{% else %}Would you like to log in?
The default username is "test" and password "test" - you can change this in run_sample_server.py
{% endif %} {% endblock %}


Next: simple-vector, Previous: simple-array, Up: Arrays Dictionary
Any one-dimensional array is a vector.
The type vector is a subtype of type array; for all types x, (vector x) is the same as (array x (*)).
The type (vector t), the type string, and the type bit-vector are disjoint subtypes of type vector.
Specializing.
(vector
{[{element-type | *} [{size | *}]]})
size—a non-negative fixnum.
element-type—a type specifier.
This denotes the set of specialized vectors whose element type and dimension match the specified values. Specifically:
If element-type is the symbol *, vectors are not excluded on the basis of their element type. Otherwise, only those vectors are included whose actual array element type
is the result of upgrading element-type; see Array Upgrading.
If a size is specified, the set includes only those vectors whose only dimension is size. If the symbol * is specified instead of a size, the set is not restricted on the basis of dimension.
Required Kinds of Specialized Arrays, Sharpsign Left-Parenthesis, Printing Other Vectors, Sharpsign A
The type (vector e s) is equivalent to the type (array e (s)).
The type (vector bit) has the name bit-vector.
The union of all types (vector C), where C is any subtype of character, has the name string.
(vector *) refers to all vectors regardless of element type, (vector type-specifier) refers only to those vectors that can result from giving type-specifier as the :element-type argument to make-array.
Next: simple-vector, Previous: simple-array, Up: Arrays Dictionary


--- layout: one-column title: AppVeyor Enterprise Releases description: AppVeyor Enterprise Releases paginate: collection: releases permalink: /page/:num/ # pagination path (relative to template page) reversed: true ---


Input
Input
Input
Submit Numbers
This is an Equilateral Triangle!
This is an Isoceles Triangle!
This is a Scalene Triangle!
This is not a Triangle!


Rebelo\SaftPt\AuditFile\MasterFiles\MasterFiles
MasterFiles
 Master Files 2.1, 2.2, 2.3, 2.4 and 2.5 are required under the conditions stated in f), g), h) and i) of paragraph 1 of Ordinance No. 302/2016 of the 2nd December amended by the Rectification Statement No. 2-A/2017, of the 02nd February.

<xs:element name="MasterFiles">
<xs:complexType>
<xs:sequence>
<xs:element ref="GeneralLedgerAccounts" minOccurs="0"/>
<xs:element ref="Customer" minOccurs="0" maxOccurs="unbounded"/>
<xs:element ref="Supplier" minOccurs="0" maxOccurs="unbounded"/>
<xs:element ref="Product" minOccurs="0" maxOccurs="unbounded"/>
<xs:element ref="TaxTable" minOccurs="0"/>
</xs:sequence>
</xs:complexType>

- Author: João Rebelo
Synopsis
class MasterFiles
extends AAuditFile
{
- // constants
- const N_MASTERFILES = "MasterFiles";
- const N_GENERALLEDGERACCOUNTS = "GeneralLedgerAccounts";
- const N_TAXTABLE = "TaxTable";
- // Inherited constants from AAuditFile
- const DESCONHECIDO = "Desconhecido";
- const CONSUMIDOR_FINAL_TAX_ID = "999999990";
- const CONSUMIDOR_FINAL = "Consumidor final";
- const CONSUMIDOR_FINAL_ID = "CONSUMIDOR_FINAL";
- // members
- protected array $generalLedgerAccounts = ;
- protected array $customer = ;
- protected array $customerID = ;
- protected array $supplier = ;
- protected array $supplierID = ;
- protected array $product = ;
- protected array $productCode = ;
- protected array $taxTableEntry = ;
- protected bool $isFinalConsumerAdd = false;
- // Inherited members from AAuditFile
- protected static AI18n $i18n;
- protected ErrorRegister $errorRegister;
- protected array $error;
- protected array $warning;
- // methods
- public void __construct()
- public void getGeneralLedgerAccounts()
- public array getCustomer()
- public Customer addCustomer()
- public array getAllCustomerID()
- public array getSupplier()
- public array getAllSupplierID()
- public Supplier addSupplier()
- public array getProduct()
- public array getAllProductCode()
- public Product addProduct()
- public array getTaxTableEntry()
- public TaxTableEntry addTaxTableEntry()
- public SimpleXMLElement createXmlNode()
- public void parseXmlNode()
- public void addCustomerFinalConsumer()
- public bool isFinalConsumerAdd()
- // Inherited methods from AAuditFile
- public bool __isset()
- public void __construct()
- public abstract SimpleXMLElement createXmlNode()
- public abstract void parseXmlNode()
- public void __clone()
- public static string valTextMandMaxCar()
- public static bool valPortugueseVatNumber()
- public static bool validateMod11auxFunction()
- public string floatFormat()
- public static string replaceHexUtf()
- public static void setI18n()
- public static AI18n getI18n()
- public ErrorRegister getErrorRegistor()
- public array getError()
- public array getWarning()
- public void addError()
- public void addWarning()
- public static bool validateDocNumber()
- public static int calcPeriod()
Hierarchy
Constants
| Name | Value |
|---|---|
| N_MASTERFILES | "MasterFiles" |
| N_GENERALLEDGERACCOUNTS | "GeneralLedgerAccounts" |
| N_TAXTABLE | "TaxTable" |
| DESCONHECIDO | "Desconhecido" |
| CONSUMIDOR_FINAL_TAX_ID | "999999990" |
| CONSUMIDOR_FINAL | "Consumidor final" |
| CONSUMIDOR_FINAL_ID | "CONSUMIDOR_FINAL" |
Members
protected
- $customer
—
array
<xs:element ref="Customer" minOccurs="0" maxOccurs="unbounded"/> - $customerID
—
array
Stack of all customerID - $error
—
array
To registe particular validation and errors of documents or tables, the key must be the field name - $errorRegister
—
\Rebelo\SaftPt\AuditFile\ErrorRegister
Error Register, to register global validation and errors - $generalLedgerAccounts
—
array
<xs:element ref="GeneralLedgerAccounts" minOccurs="0"/> - $i18n — \Rebelo\SaftPt\AuditFile\i18n\AI18n
- $isFinalConsumerAdd
—
Rebelo\SaftPt\AuditFile\MasterFiles\bool
Stores if the final consumer has add to the customer table or not - $product
—
array
<xs:element ref="Product" minOccurs="0" maxOccurs="unbounded"/> - $productCode
—
array
Stack of all ProductID - $supplier
—
array
<xs:element ref="Supplier" minOccurs="0" maxOccurs="unbounded"/> - $supplierID
—
array
Stack of all supplierID - $taxTableEntry
—
array

 <:xs:element ref="TaxTable" minOccurs="0"/>: <:xs:element name="TaxTable">: <:xs:complexType>: <:xs:sequence>: <:xs:element ref="TaxTableEntry" minOccurs="1" maxOccurs="unbounded"/>: <:/xs:sequence>: <:/xs:complexType>: <:/xs:element>:
 - $warning
—
array
To regist particular warnings of documents or tables
Methods
public
- __construct() — Master Files
 Master Files 2.1, 2.2, 2.3, 2.4 and 2.5 are required under the conditions stated in f), g), h) and i) of paragraph 1 of Ordinance No. 302/2016 of the 2nd December amended by the Rectification Statement No. 2-A/2017, of the 02nd February.
- addCustomer() — Create a new instance of Customer and add to Customer to stack
 Every time tha you invoke thos method a new Customer instance will be created and returned to be populated with the values.
 2.2. - Customer
 This table shall contain all the existing records operated during the taxation period in the relevant customers’ file, as well as those which may be implicit in the operations and do not exist in the relevant file. If, for instance, there is a sale for cash showing only the customer’s taxpayer registration number or his name, and not included in the customers file of the application, this client’s data shall be exported as client in the SAF-T (PT).
 <xs:element ref="Customer" minOccurs="0" maxOccurs="unbounded"/>
- addCustomerFinalConsumer() — Short hand to add the final consumer to the Consumers table, Only add if you has document issued to the “Final Consumer”, the CustomerID to be issued in the document’s CustomerID is \Rebelo\SaftPt\AuditFile\AuditFile::CONSUMIDOR_FINAL_ID
- addProduct() — Create a Product instance and add stack
 Every time that this method is invoked a new Product instance is created and add to Product stack and than is returned to be populated with values.
 This table shall present the catalogue of products and types of services used in the invoicing system, which have been operated, and also the records, which are implicit in the operations and do not exist in the table of products/services of the application.
- addSupplier() — Create a Supplier instance and add to Supplier stack
 2.3. – Supplier
 This table shall contain all the records operated during the tax period in the relevant database.
 <xs:element ref="Supplier" minOccurs="0" maxOccurs="unbounded"/>
- addTaxTableEntry() — Create a new TaxTableEntry instance and add to stack (TaxTable)
 Every time that this method is invoked a new TaxTableEntry instance is created and add to TaxTableEntry stack and than is returned to be populated with values.
 2.5. – TaxTable [Table of taxes].
 This table shows the VAT regimes applied in each fiscal area and the different types of stamp duty to be paid, applicable to the lines of documents recorded in Table 4.SourceDocuments.
- createXmlNode() — Create the MasterFile xml node
- getAllCustomerID() — get all customerID defined
- getAllProductCode() — get all productCode defined
- getAllSupplierID() — get all supplierID defined
- getCustomer() — Get Customer stack <xs:element ref="Customer" minOccurs="0" maxOccurs="unbounded"/>
- getGeneralLedgerAccounts() — Is not implemented
- getProduct() — Get all Product stack
 Every time that this method is invoked a new Supplier instance is created and add to Supplier stack and than is returned to be populated with values.
 This table shall present the catalogue of products and types of services used in the invoicing system, which have been operated, and also the records, which are implicit in the operations and do not exist in the table of products/services of the application.
- getSupplier() — Get all Supplier stack
 2.3. – Supplier
 This table shall contain all the records operated during the tax period in the relevant database.
 <xs:element ref="Supplier" minOccurs="0" maxOccurs="unbounded"/>
- getTaxTableEntry() — Get (TaxTable) all TaxTableEntry stack
 2.5. – TaxTable [Table of taxes].
 This table shows the VAT regimes applied in each fiscal area and the different types of stamp duty to be paid, applicable to the lines of documents recorded in Table 4.SourceDocuments.
- isFinalConsumerAdd() — Get if the final consumer is already add to the Customer table
- parseXmlNode()
Inherited from Rebelo\SaftPt\AuditFile\AAuditFile
public
- __clone() — Force to clone all object properties
- __isset() — Invoke the isset to the propertie name
- addError() — Add a particular error
- addWarning() — Add a particular warning
- calcPeriod() — Calc the document period based on the fiscal year start month
- createXmlNode() — Create the xml node for the object
- floatFormat() — Format a float with grouped thousands
- getError() — Get all particular error
- getErrorRegistor() — Get the ErrorRegistor instance
- getI18n() — Get i18n class
- getWarning() — Get all particular warning
- parseXmlNode() — Create the xml node for the object
- replaceHexUtf() — Convert the encoded caracters encoded by SimpleXmlElment
- setI18n() — Set the language to translate
- valPortugueseVatNumber() — Validate Portuguese VAT Number
- valTextMandMaxCar() — Validate the string if length is zero throws AuditFileException, if greater than $lentgh will return a truncated string
- validateDocNumber() — Validate documents number <xs:simpleType> <xs:restriction base="xs:string"> <xs:pattern value="[^ ]+ [^/^ ]+/[0-9]+"/> <xs:minLength value="1"/> <xs:maxLength value="60"/> </xs:restriction> </xs:simpleType>
- validateMod11auxFunction() — validate Mod11 numbers (true whene the remaining of the division per 11 is 0) number % 11 === 0


| None |
| This command will check to see if a key has been pressed and will return its ASCII value. Not all keys have ASCII values - if you need to trap SHIFT, ALT, or other non-ASCII compliant key, try KeyHit or KeyDown. |
|
; GetKey Example
Print "Please press any ASCII key ..." While Not value value=GetKey() Wend Print "You pressed key with an ASCII value of:" + value |


| tidycovid19_variable_definitions {tidycovid19} | R Documentation |
tidycovid19
Merged Data FrameList variable definitions and data sources for the data frame
created by download_merged_data()
.
Merge with data(tidycovid19_data_sources)
to get full information
for each variable, including description of data source and link to URL.
data(tidycovid19_variable_definitions)
An object of class "data.frame"
.
vd <- tidycovid19_variable_definitions ds <- tidycovid19_data_sources data_info <- dplyr::left_join(vd, ds, by = c(var_source = "id")) print(data_info)


We are a group of professional software developers, who improve their skills and meet regularly in order to exchange their knowledge in the area of software development. We treat the software profession as a true "craft" and are personally committed to achieving excellence in it.
Community State
- Members: 99 (and still growing)
- Collaboration between Wrocław and Poznań
- Current Community Chief: Łukasz Sidorkiewicz
- Area of interest: frontend, backend, craftsmanship, technology stacks, tools, good practicies, clean code...
- Visibility also outside the company (Tech Talks, Recruitment Events, Conferences...)
Craftsmanship Community
Community Meetings
- Every two weeks (in summer periods less often)
- Regular lectures prepared by Community members
- Regular open panels with several small topics:
- Lecture teasers
- Conference reports
- Buzzwords
- Introduction to technologies
- Clean Code and Good Practices
- ...and many more!
Recent Topics
- Introduction to GIT
- Orchestrate Your Services on OpenShift using Spring Cloud Kubernetes
- The realtime web with RethinkDB & Horizon
- Web App z Microsoft Azure
- Pivotal Cloud Foundry
Craftsmanship Community
Workshop 2017
Topics
- Microservices in practice
- Potyczki Algorytmiczne
- Szybki Server (unfortunatelly cancelled, but will be back!)
Any Questions?


Four killed as protesters clash with security forces in Baghdad
Anti-government demonstrations have been ongoing in the Iraqi capital since October 1.
Four protesters have been killed in renewed clashes in Baghdad between anti-government demonstrators and security forces.
The altercations on two key bridges in the Iraqi capital also left at least 44 people injured, officials said.

Two protesters later died from injuries sustained in the violence.
Protesters have been occupying parts of Baghdad’s three main bridges – Sinak, Ahrar and Jumurhiya – leading to the heavily fortified Green Zone, the seat of Iraq’s government.
Tents have been set up under the bridges and also on central Tahrir Square, the epicentre of the protest movement.
One hospital volunteer said: “Around 1.30am, the shooting started with live ammunition, tear gas, and sound grenades.
“There were martyrs and we received several injured.”
By morning, the situation on the bridges appeared to be calm.
Fighting also resumed overnight in the Shia holy city of Karbala, south of Baghdad, between protesters and security forces.
There, protesters threw fire bombs at security forces while anti-riot police responded by hurling stones at the demonstrators.
At least 320 protesters have been killed and thousands more have been injured since the unrest began on October 1, when demonstrators took to the streets in Baghdad and across Iraq’s mainly Shia south to decry rampant government corruption and a lack of basic services despite Iraq’s oil wealth.
The leaderless movement seeks to dismantle the sectarian system and unseat the government, including Prime Minister Adil Abdul-Mahdi.


Quality trustees from a trusted source
178 Sales and Marketing professionals
312 people from the Financial Services Industry and City
397 from the Home Counties
181 from the North of England
206 people from Central and Local Government
94 from the South West
122 HR professionals
539 people from the Civil Society sector
214 from the Midlands and East Anglia
84 Fundraisers
471 from London
|
|
The education sector seems to be constantly in a state of flux. Financial cuts have been building since the mid-noughties and the way establishments are governed continues to evolve. This changing landscape means that organisations need governors and trustees of the highest calibre. Common to all institutions is the need for diversity, especially people from BME communities and women, and an understanding of the delineation of responsibilities between the strategic and operational.
With respect to FE Colleges and Universities, these are less regulated by BIS than the DFE regulated academies and free schools and operate under the "deregulatory" Education Act 2011 and there is a trend towards smaller more skilled boards in colleges as reducing public monies results in mergers into larger more cost-effective provision.
With respect to Academies, increased devolution to schools and governors seems to be the trajectory. Where Ofsted rates a school at level 3 clearly a review of governance is required. However with the myriad types of academies such as free schools, sponsor academies and multi-academy chains all have their own unique requirements.
With a track record in recruiting to a range of educational organisations, from Barnet & Southgate College to the Teacher Support Network, Learning Plus UK and the NUS, Trustees Unlimited has access to a large number of potential board members and an understanding of the issues you face.
To meet the price sensitive demand for educational organisations we have developed a reduced fee structure for FE/HE/Academies. Our Standard Service is therefore fixed at £4K and £6K for a Chair or Treasurer. In both instances an initial non-refundable fee of £1K is required.


DODS/OPeNDAP
Driver short name
DODS
Build dependencies
libdap
Deprecated
This driver is considered for removal in GDAL 3.5. You are invited to convert any dataset in that format to another more common one. If you need this driver in future GDAL versions, create a ticket at https://github.com/OSGeo/gdal (look first for an existing one first) to explain how critical it is for you (but the GDAL project may still remove it). To enable use of the deprecated driver the GDAL_ENABLE_DEPRECATED_DRIVER_OGR_DODS configuration option / environment variable must be set to YES.
This driver implements read-only support for reading feature data from OPeNDAP (DODS) servers. It is optionally included in OGR if built with OPeNDAP support libraries.
When opening a database, its name should be specified in the form “DODS:url”. The URL may include a constraint expression a shown here. Note that it may be necessary to quote or otherwise protect DODS URLs on the commandline if they include question mark or ampersand characters as these often have special meaning to command shells.
DODS:http://dods.gso.uri.edu/dods-3.4/nph-dods/broad1999?&press=148
By default top level Sequence, Grid and Array objects will be translated into corresponding layers. Sequences are (by default) treated as point layers with the point geometries picked up from lat and lon variables if available. To provide more sophisticated translation of sequence, grid or array items into features it is necessary to provide additional information to OGR as DAS (dataset auxiliary information) either from the remote server, or locally via the AIS mechanism.
A DAS definition for an OGR layer might look something like:
Attributes {
ogr_layer_info {
string layer_name WaterQuality;
string spatial_ref WGS84;
string target_container Water_Quality;
layer_extents {
Float64 x_min -180;
Float64 y_min -90;
Float64 x_max 180;
Float64 y_max 90;
}
x_field {
string name YR;
string scope dds;
}
y_field {
string name JD;
string scope dds;
}
}
}
Driver capabilities
Supports Georeferencing
This driver supports georeferencing
Caveats
No field widths are captured for attribute fields from DODS.
Performance for repeated requests is dramatically improved by enabling DODS caching. Try setting USE_CACHE=1 in your ~/.dodsrc.


Man in his 60s dies following fatal crash in Sligo
by Nick FitzgeraldHe was pronounced dead at the scene
A crash involving a van and a jeep in County Sligo this evening has resulted in a man in his 60s losing his life.
The crash occurred on the R284 at Jinks Cross, Carraroe at approximately 7pm.
The sole occupant of the jeep, a male in his 60s was pronounced dead at the scene.
The driver of the van was taken to Sligo University Hospital with non-life threatening injuries.
Gardai have said the scene of the crash is preserved for examination by Garda forensic collision investigations.
The road is currently closed and local diversions are in place.


class Crystar::Reader
- Crystar::Reader
- Reference
- Object
Overview
Reads tar file entries sequentially from an IO
.
Example
require "tar"
File.open("./file.tar") do |file|
Crystar::Reader.open(file) do |tar|
tar.each_entry do |entry|
p entry.name
p entry.file?
p entry.dir?
p entry.io.gets_to_end
end
end
end
Defined in:
tar/reader.crConstructors
-
.new(io : IO, sync_close = false)
Creates a new reader from the given io.
-
.new(filename : String)
Creates a new reader from the given filename.
Class Method Summary
-
.open(io : IO, sync_close = false, &block)
Creates a new reader from the given io, yields it to the given block, and closes it at the end.
-
.open(filename : String, &block)
Creates a new reader from the given filename, yields it to the given block, and closes it at the end.
Instance Method Summary
-
#close
Closes Crystar reader
-
#closed? : Bool
Returns
true
if this reader is closed. -
#each_entry(&block)
Yields each entry in the zip to the given block.
-
#next_entry : Header?
next_entry advances to the next entry in the tar archive.
-
#sync_close=(sync_close)
Whether to close the enclosed
IO
when closing this reader. -
#sync_close? : Bool
Whether to close the enclosed
IO
when closing this reader.
Constructor Detail
Class Method Detail
Creates a new reader from the given io, yields it to the given block, and closes it at the end.
Creates a new reader from the given filename, yields it to the given block, and closes it at the end.
Instance Method Detail
next_entry advances to the next entry in the tar archive. The Header.Size determines how many bytes can be read for the next file. Any remaining data in the current file is automatically discarded.
EOF is returned at the end of the input.


[§245-36] Counterfeiting stamps. A person shall be guilty of a class B felony if the person:
(1) Intentionally or knowingly makes, alters, or reuses a stamp as defined in section 245-1; or
(2) Knowingly possesses or distributes a stamp that has been falsely made, altered, or reused. [L 2000, c 249, pt of §1, §20(2); am L 2002, c 94, §3]


This task demonstrates the basic types of monitoring information that can be obtained from the default workload and service class objects.
A workload is an entity that groups one or more units of work based on criteria such as system user ID, session user ID, etc. Workloads provide a means of assigning work to a service class so that the work can later be managed. Since DB2 9.5, a default user workload (SYSDEFAULTUSERWORKLOAD) and a default administration workload (SYSDEFAULTADMWORKLOAD) are created for each database. If no user defined workloads are created, all user activities are associated with the default user workload.
Service classes are the primary point of resource control for database activities. They are also useful for monitoring. For example, you can collect statistics for activities in a particular service class to determine whether the performance goals for that service class are being met. Since DB2 9.5, three default service classes (SYSDEFAULTSYSTEMCLASS, SYSDEFAULTMAINTENANCECLASS, and SYSDEFAULTUSERCLASS) are created for each database. If no user defined service classes are created, user activities are run under the default user service class (SYSDEFAULTUSERCLASS).
There are two separate features of monitoring that are demonstrated by this section:


{% if not topic %} Looking for a recording of an event or gathering in the Brigade network? You've come to the right place. {% endif %}
{{ video["date"] }}
{{ video["description"] }}
Posted in {{ video["topics"] | map('link_to_video_topic') | join_list }}


INSTRUCTIONS: Click on any of the robot masters to see their profile
Needle Man
DWN-017
HP:
28
Contact Damage:
4
Main Attack(s):
Needle Cannon/Hammer
Damage:
3/6
Magnet Man
DWN-018
HP:
28
Contact Damage:
6
Main Attack(s):
Magnet Missle
Damage:
3
Gemini Man
DWN-019
HP:
28
Contact Damage:
6
Main Attack(s):
Gemini Laser (Shots)
Damage:
6 (3)
Hard Man
DWN-020
HP:
28
Contact Damage:
6
Main Attack(s):
Hard Knuckle/Body Press
Damage:
3/6+6
Top Man
DWN-021
HP:
28
Contact Damage:
6
Main Attack(s):
Top Spin (Tops)
Damage:
6 (4)
Snake Man
DWN-022
HP:
28
Contact Damage:
6
Main Attack(s):
Search Snake
Damage:
4
Spark Man
DWN-023
HP:
28
Contact Damage:
4
Main Attack(s):
Spark Shock (Sparks)
Damage:
4 (2)
Shadow Man
DWN-024
HP:
28
Contact Damage:
4 (6 on slide)
Main Attack(s):
Shadow Blade
Damage:
4


Welcome to DevOps Signals Blog
Welcome to DevOps Signals, my brand new Blog about DevOps, Agile and various IT-related topics.
My name is Igor Antonacci, a seasoned DevOps Engineer passionate about Application Lifecycle Management, IT-Operations’ topics, Cloud and IT Security especially in the Enterprise world.
I’m going to post about several aspects of those mentioned topics:
- Infrastructure As Code
- Continous Deployment / Delivery
- Process Automation
I’m also touching topics related to my hobby: home IT; as of my job, I’m trying to reproduce or, at least, keep most of Enterprise IT “best practices” also in my home IT environment. Usually I experiments about:
- Networking
- Security
- Personal Data Storage and preservation
Keep follow me and we’ll discover how to transform boring stuff into simple ones.


CSS Display Tutorial
home
Display block-level element
A block-level element always starts on a new line and takes up the full width available
Hi my name is Folau
Hi my name is Folau
Hi my name is Folau
Display inline element
An inline element does not start on a new line and only takes up as much width as necessary.
Hi my name is Folau
Hi my name is Folau
Hi my name is Folau
Display none
display: none; is commonly used with JavaScript to hide and show elements without deleting and recreating them.
Hi my name is Folau
Hi my name is Folau
Hi my name is Folau


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The Duluth, Winnipeg & Pacific
a 2 rail, O scale layout in progress
For the past 2 ½ years we have been building a nearly 4000 square foot layout. We
are working with a small crew; numbering 4 people at most and often only two on the
job site. This is truly a labor of love for all involved. We are building this layout
as if it is in our own basement, with great attention to detail and deliberate planning
and model work. This is not a “run of the mill” contract job. The final railroad
will be a fine example of 2 rail O scale modeling that reflects both the owners’
and my own vision.
Above are a couple of shots of a Red Caboose GP-9 painted and lettered for the Canadian
National Railway.In the early years of dieselization; the CN ran its units long hood
forward. The DWP RS-11’s were set up to operate this way as well. This Geep has been
re-powered with a drive from P&D Hobbies and has a QSI sound decoder installed. So
far it has been a fairly reliable loco though a little light. Extra weight has been
added to make it a little more sure-footed.
The following photo journal is hoped to be an entertaining and informative document.
This project is one of our current and certainly largest projects. We hope that some
of the techniques and strategies employed in the construction of this layout will
be useful to other modelers. Please do not attempt to locate or contact the clients
involved. Any questions or comments may be directed to Scott Anderson<EMAIL_ADDRESS>The layout is not presently available for visitation. Open houses and other events
will be announced when the layout is deemed to be in a suitable condition to host
such events for the public and our fellow enthusiasts. Thank you for your consideration
and interest.
The DWP or “PEG” is a 170 mile line that travels through some fantastic scenery
from Duluth Minnesota to Ft. Francis, Ontario with connections to Winnipeg. The railroad
dates back to the late 1800’s and is still in operation today. The DWP is a subsidiary
of the Canadian National so the equipment and operating procedures bear a striking
resemblance to the CN. We will be modeling 1956, steam was still the primary form
of motive power, but diesel power will take over soon as 11 Alco RS11s will replace
all steam within a year. Steam locos on the PEG were all 2-8-0’s built by Schenectady
and Brooks. There were some visiting power from the Grand Trunk Western and Canadian
National as well as connections with Great Northern, Chicago and Northwestern, SOO
Line, Duluth, Missabe and Iron Range and Burlington; to name a few. Our layout is
a very compressed version of the entire route originating at Duluth, Minnesota and
terminating at Ft. Francis, Ontario. Major industries found along the line are paper
and iron ore. While the DWP did not carry ore, it did interchange with the Missabe
near the town of Virginia, Minnesota. Much of the scenery is rural which means thousands
of trees, however there are two large urban areas; Duluth/West Duluth and Virginia.
Operations consists primarily of freights; pulpwood north to Ontario and paper goods
south back to Duluth. Passenger trains ran once or twice a day. Train orders were
passed to stations by telegraph well into the 1970’s. There is no signaling. When
finished the layout will require 8 operators, but one person can run the layout,
sit back and enjoy the trains as they pass trough a miniature Minnesota landscape.
The plan above shows the overall size and shape of the layout as well as some of
the major points. The building is approximately 100’ x 59’. The lowest tracks are
42” at Duluth and they climb to 62” crossing over the aisle in the lower left corner.
There is nearly 3000’ feet of Atlas Flex track and 150 plus Atlas turnouts involved.
Each yard can hold upwards of 150 cars. There are 3 six stall roundhouses and 3 turntables.
Many of the structures are unique and will be scratch-built. Many or the depots are
built to Canadian National standard designs. There is one tunnel on the line located
at Ely’s Peak just North of West Duluth. There are numerous bridges. The layout is
loop to loop. Each reverse loop is automatic using CVP Products auto reversing boosters.
The railroad is DCC using CVP Product’s Easy DCC system. There are 12 power zones.
Control is by wireless hand-held throttles . There are two 24”Millhouse River turntables
and one 36” Bowser turntable. The mainline minimum radius is 60” and the steepest
grade is 1.5%. Most of the switches use Caboose Industries ground throws, there are
some Tortoise switch machines used as well. Benchwork is L girder. Wiring is 12 gauge
stranded for the buss and 18 gauge stranded for the feeders. The roadbed is Midwest
cork on 3/4” plywood sub-roadbed. Scenery is expanded urethane hardshell over foamboard
formers. Many of the structures will be scratch-built while kits and ready-built
will be used where a specific prototype is not required. The majority of the steam
locos are re-detailed Weaver 2-8-0 Consolidations. The RS-11s are also Weaver. As
decoders and details are added to the locos I will add segments to this journal as
to how and what is done.
To the right is an un-modified, except for a MRC decoder, Weaver 2-8-0. While the
manufacturer intends them to be Baldwin products, they have a fairly generic look
that will pass as the Brooks and Schenectady locos used by the DWP. The details of
the DWP locos are very “Canadian National”. The loco in the photo has been running
on the layout for about a year. It is reasonably reliable although we added more
pickups to the loco and converted the tender to pickup track power as well. Look
for more info on these changes and more as this journal progresses.
Check back often and see what is new.
Some of the N-2-a class had Elesco feedwater heaters while other had Coffin type
feedwater heaters. It will take some work to get the Weaver 2-8-0s to look like this!


In this tutorial, we will develop a strategy based on the price and earnings momentum effect of stocks. This strategy is derived from the paper "Momentum" by N.Jegadeesh and S.Titman.
N.Jegadeesh et al. describe price/return momentum as a tendency for stocks that perform well over a three to twelve month period to continue to perform well over a subsequent three to twelve month period. Similarly, stocks that perform poorly over a three to twelve month period have a tendency to continue to perform poorly. They describe earnings momentum as the tendency for stocks with high earnings per share (EPS) to continue to outperform stocks with low EPS.
Below, we will implement a quarterly-rebalanced stock strategy based on the price and earnings momentum.


Classes that are only instantiated if they are invoked by @extend in normal CSS classes.
Many of these are being used in base elements to normalize properties that are repeated among various selectors.
Reusable swatches of CSS properties that may have values that can be updated.
Please see the documentation within each __config > helpers
file
for additional information for proper usage.


{% extends "common/error.html" %} {% load i18n %} {% load static %} {% block error_image %}{% endblock %} {% block error_message %}
{% translate "Bad request." %}
{% blocktranslate trimmed %}
It looks as if the communication between you and pretalx went wrong in
some way.
Please return to the last page and try again!
{% endblocktranslate %}


--- layout: post date: 2007-08-07 time: "09:00:00" authors: ["Greg Wilson"] title: "How I'm Doing" tags: ["University of Toronto"] ---
I wasn't happy with the two courses I taught this past winter — too many distractions, too little preparation. The feedback on the Software Carpentry course was therefore a pleasant surprise: I've heard second-hand that several of the Computer Science grad students were disappointed by its slow pace, but overall I did better than I expected. On a 1-5 scale:
The most common positive comments were that the course was practical and pragmatic, and that the collaborative projects were worthwhile. Negatives include the assignment being distributed and marked very late, not enough examples of what good programs actually look like, the course being slow for CS students, a lack of depth in some areas (particularly security), and my jokes being corny.


UN definition: "Forests cover 30 per cent of the Earth’s surface and in addition to providing food security and shelter, forests are key to combating climate change, protecting biodiversity and the homes of the indigenous population. Thirteen million hectares of forests are being lost every year while the persistent degradation of drylands has led to the desertification of 3.6 billion hectares."
Target 15.1: Conserve and restore terrestrial and freshwater ecosystems
Target: "By 2020, ensure the conservation, restoration and sustainable use of terrestrial and inland freshwater ecosystems and their services, in particular forests, wetlands, mountains and drylands, in line with obligations under international agreements."
Target 15.2: End deforestation and restore degraded forests
Target: "By 2020, promote the implementation of sustainable management of all types of forests, halt deforestation, restore degraded forests and substantially increase afforestation and reforestation globally."
Target 15.3: End desertification and restore degraded land
Target: "By 2030, combat desertification, restore degraded land and soil, including land affected by desertification, drought and floods, and strive to achieve a land degradation-neutral world."
Target 15.4: Ensure conservation of mountain ecosystems
Target: "By 2030, ensure the conservation of mountain ecosystems, including their biodiversity, in order to enhance their capacity to provide benefits that are essential for sustainable development."
Target 15.5: Protect biodiversity and natural habitats
Target: "Take urgent and significant action to reduce the degradation of natural habitats, halt the loss of biodiversity and, by 2020, protect and prevent the extinction of threatened species."
Target 15.6: Protect access to genetic resources and fair sharing of the benefits
Target: "Promote fair and equitable sharing of the benefits arising from the utilization of genetic resources and promote appropriate access to such resources, as internationally agreed."
Target 15.7: Eliminate poaching and trafficking of protected species
Target: "Take urgent action to end poaching and trafficking of protected species of flora and fauna and address both demand and supply of illegal wildlife products."
Target 15.8: Prevent invasive alien species on land and in water ecosystems
Target: "By 2020, introduce measures to prevent the introduction and significantly reduce the impact of invasive alien species on land and water ecosystems and control or eradicate the priority species."
Target 15.9: Integrate ecosystem and biodiversity in governmental planning
Target: "By 2020, integrate ecosystem and biodiversity values into national and local planning, development processes, poverty reduction strategies and accounts."
Target 15A: Increase financial resources to conserve and sustainably use ecosystem and biodiversity
Target: "Mobilize and significantly increase financial resources from all sources to conserve and sustainably use biodiversity and ecosystems."
Target 15B: Finance and Incentivize sustainable forest management
Target: "Mobilize significant resources from all sources and at all levels to finance sustainable forest management and provide adequate incentives to developing countries to advance such management, including for conservation and reforestation."
Target 15C: Combat global poaching and trafficking
Target: "Enhance global support for efforts to combat poaching and trafficking of protected species, including by increasing the capacity of local communities to pursue sustainable livelihood opportunities."


bd_do_inference
calls Stan to do Bayesian inference by generating
a sample of parameters from the posterior of theta (or th).
This function analyzes the result of that inference.
In particular, it calculates the quantiles of the density function and growth rate.
bd_analyze_soln( soln, tau = NA, th_sim = NA, lev = 0.025, rateProp = NA, doSummary = T )
| soln | The solution, a list-like object of class bd_soln (see |
|---|---|
| tau | (optional) The calendar dates at which to evaluate densities. If tau is not input, tau is built from the hyperparameters. |
| th_sim | (optional) The known parameters used to create simulation data |
| lev | (default: 0.025) The level to use for the quantile bands |
| rateProp | (optional) The cumulative density needed to define rate growth bands |
| doSummary | (default: |
A list with information on the quantiles of the density function and growth rate (and sample summaries)
soln
is the result of a call to bd_do_inference
.
It contains both the resulting samples and the parameters used in the inference,
such as the hyperparameters (see bd_do_inference
for further details).
The primary thing bd_analyze_soln
does is calculate quantiles of both
the parameterized density and growth rate. For example,
for a calendar date y each sample yields a density and growth rate.
The quantile is the value of the density or growth rate such that
a given proportion of samples are smaller than that value.
The probabilities used to calculate these quantiles are probs = c(lev, 0.5, 1-lev)
,
where lev
is the level (0.025 by default, so that 95% of the observations
lie between the first and last quantile bands).
In addition, bd_analyze_soln
identifies calendar dates for which
the growth rate quantiles defined by lev
and 1 - lev
do not contain zero.
This indicates significant positive or negative growth for the density curve.
The output vector growthState
codes calendar dates by growth state as 'negative',
'zero', and 'positive'. For the Gaussian mixture parameterization of the density,
the rate is not typically meaningful near the calendar date boundaries where it
increases linearly as the calendar date goes to positive or negative infinity.
The parameter rateProp
provides control on how calendar dates are classified by
growth rate near these boundaries. In particular, the calendar dates with a cumulative
density (50% quantile) below rateProp
(for the lower boundary) or above 1 - rateProp
(for the upper boundary) are classified as 'missing' in growthState
.
By default, rateProp
is NA and no calendar dates are classified as missing.
By default, a summary is done for each sample by calling bd_summarize_sample. This is not done of doSummary is FALSE


PA and lateral views of the chest.
None.
Lungs: The lungs are clear. The inspiratory volumes are small, and this probably accounts for some vascular crowding and atelectasis at the bases. There is focal opacity at the right lung base most likely representing right lower lobe atelectasis. There is focal opacity at the right lung base most likely representing a combination of a moderate right pleural effusion and associated passive right lower lobe atelectasis. There is a focal opacity at the left lung base most like representing left lower lobe atelectasis. There is a focal opacity at the left lung base, characteristic of a combination of a moderate left pleural effusion and associated atelectasis. There is patchy opacity at both lung bases characteristic of atelectasis. There is patchy opacity at both lung bases characteristic of a combination of atelectasis and effusions. There is vascular congestion with increased interstitial markings findings indicating mild cardiogenic edema. There is vascular congestion with mixed interstitial and patchy alveolar opacities, findings indicating moderate cardiogenic edema. There is extensive alveolar consolidation in the lungs bilaterally, most likely representing pulmonary edema. This is probably on the basis of severe congestive heart failure but could be a result of noncardiogenic causes. There are multiple patchy areas of consolidation, widely scattered about the lungs bilaterally. This most likely represents a multifocal pneumonia. There is patchy opacity at both lung bases characteristic of a combination of atelectasis and effusions. There is mild vascular and interstitial prominence, likely reflecting mild pulmonary edema. There is mild pulmonary vascular engorgement without pulmonary edema.
Heart: The heart is normal in size. There is mild cardiomegaly. There is moderate cardiomegaly. There is severe cardiomegaly. There is marked cardiomegaly. The heart is top normal in size.
Mediastinum: The mediastinum is within normal limits. Atherosclerotic calcifications are seen in the aorta. The aorta appears tortuous, a finding usually associated with either atherosclerosis or systemic hypertension. The aortic contour is quite prominent, a finding likely indicating either an aortic aneurysm or dissection. Post-operative changes are present in the mediastinum. Degenerative changes are present in the thoracic spine.
No active disease. Cardiomegaly. Mild cardiogenic edema. Moderate cardiogenic edema. Severe edema, probably cardiogenic. Atelectasis. Satisfactory post-operative status. Pulmonary vascular congestion. Low inspiratory volumes.


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Full Access to all WTH!Zone apps and services. 10 GB of cloud storage.
Full Access to all WTH!Zone apps and services. 10 GB of cloud storage and able to add more space. Add and manage Sub Accounts.


You should upload data in the form № 17-Ц\33215 approved by the Defense Department.
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A software developer for bread and butter, a photographer from heart and a cook for spreading happiness. I am a person who does not complicate life, and live as it is. I love exploring places around the world, and already have the bucket list overflow. I love to click - people, nature, cities, and the list goes on. I was an active Cricketer, and played across multiple leagues in India.
| since 2015 | Application Engineer at Amazon, Seattle |
| since 2011 | Application Engineer at Amazon, Hyderabad |
| since 2008 | Systems Engineer Infosys Technologies, Hyderabad |
| since 2004 | Bachelors of Technology, CS at West Bengal Unversity of Technology |
“To Travel is to Live” – Hans Christian Andersen
“You can look at a picture for a week and never think of it again. You can also look at a picture for a second and think of it all your life.” by ― Joan Miro
Email<EMAIL_ADDRESS>Phone: +1<PHONE_NUMBER>
Postal Address: 4850 156th AVE NE REDMOND WA 98052
Office: 2201 Westlake Ave, Seattle, WA 98121 (see map below and this map of Amazon, Varzea)


DummyAuth
There was an error during the login process.
{% if error == 'validation_error' %}The passcode received from your authorization provider could not be validated. This either means that your authorization provider returned an invalid token, or that the validation process refuses to accept the given token.
The validation failed with the following error: {{ message }}.
{% elif error == 'exception' %}The application failed to fulfill your request because of an error. The error was: {{ message }}.
{% endif %}


TABLE OF INTERACTIONS WITH
MEDICATIONS AT THE ORIGIN OF ORTHOSTATIC HYPOTENSION
Aside from the antihypertensives, numerous medications can lead to orthostatic hypotension. This is especially the case with nitrate derivatives, inhibitors of type 5 phospodiesterase, alpha blockers for urological use, tricyclic antidepressants, and phenothiazinic neuroleptics, dopaminergic agonists, and levodopa. Their combined use thus risks increasing the frequency and intensity of this undesirable effect. Consult the interactions specific to each class, with the corresponding level of constraint.
From the French ANSM drug interactions document of September 2016, p. 147
MEDICATIONS AT THE ORIGIN OF ORTHOSTATIC HYPOTENSION CLASS CODE: N05AA-001 |
DAPOXETINE RxNorm: 69394 ATC: G04BX14 |
Risk of increase of the undesirable effects, especially of the vertigo and fainting type |
Not recommended -with the type 5 phospohdisterase inhibitors Take into account -with the other therapeutic classes |
MEDICATIONS AT HE ORIGIN OF ORTHOSTATIC HYPOTENSION CLASS CODE: N05AA-001 |
MEDICATIONS THAT LOWER BLOOD PRESSURE CLASS CODE: MLBP |
Risk of increase of hypotension, especially orthostatic |
Take into account |


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Chapter 13 Hypothesis, predictions and equations
The proposed answer to a question is termed a hypothesis. Hypotheses are formulated on the basis of some preliminary observations and/or prior knowledge.
How does the presence of a concentration gradient affect the diffusion of water? There are three possible answers to this question. Indeed, many questions may generate multiple alternative hypotheses.
(we are considering changing these examples to be about moose to make them more fun)Hypotheses
H1. Water diffuses from a hypertonic solution into a hypotonic solution.
H2. Water diffuses from a hypotonic solution into a hypertonic solution.
H3. Water diffuses equally in both directions along the osmotic gradient.
All three meet the basic requirement of a hypothesis, namely, they are predictive, are clearly expressed and are an answer to the problem; however, #2 is the most likely hypothesis given background reading on osmosis.
Predictions are generated from the hypothesis and framed in terms of a specific experiment or analysis. Let’s define a specific experiment:
EXPERIMENT 1
An osmometer containing a 30% glucose and dye solution is placed in a beaker containing distilled water.
If hypothesis #2 holds, then true water will diffuse from the hypotonic solution (the water in the beaker) into the hypertonic solution (the 30% glucose and dye solution in the osmometer) and the water will rise in the pipette. Note how this prediction was generated using the if … then … format.
i.e. if the hypothesis holds true, then a specific event will occur (prediction).
The prediction corresponding to H2 for Experiment 1 is:
if water diffuses from a hypotonic solution into a hypertonic solution (hypothesis),
then water will diffuse from the beaker into the osmometer causing the water in the pipette to rise.
Although hypotheses and predictions are similar, two basic differences exist: hypotheses are general, predictions are specific; hypotheses are written in the present tense, predictions in the future tense.
Equations write the predictions in mathematical notation so that statistical tests can be applied to determine if the hypothesis is supported. The equation corresponding to the prediction in the box above is:
The equation corresponding to the prediction above is:
\(v_F > v_0\)
where \(v_F\) is the final volume of the glucose-dye solution in the osmometer (units: mL), and
\(v_0\) is the initial volume of glucose-dye solution in the osmometer (units: mL).
When writing your prediction as an equation you get to choose the notation: you might have instead decided that y is the final volume of the glucose-dye solution; this choice is also correct if you correctly explain what variable is represented by what you have chosen to call y. You many choose any lower or upper case Arabic (i.e., a,b,c…) or greek (i.e., α, β, γ, …) letters for your variables and you may also choose to use subscripts.
Choose symbols that are one letter long. For example, \(vF\) (two symbols long) is a less preferred symbol choice because this could be confused with \(v\) multiplied by \(F\).
It is usual to choose symbols that are intuitive (i.e. here, \(v\) helps us think of volume and \(F\) helps us think of ‘final’). Commonly, μ or bar notation, i.e., \(\bar{\nu}\) represents the mean of multiple observations. It is a good idea to avoid “O” which can be confused with zero, and e, i, π and Σ, which have specific definitions in mathematics, however, these considerations are preferred, an answer that does not use these conventions is not necessarily wrong. The necessary element of your answer is that you provide a description of the notation you define.
You must provide the units for the quantities you define.
The dependent variable (see below for a defintion) is to appear on the lefthand side of the equals or inequality.
You will not perform statistical tests in BIOL 1001 or 1002. However, learning how to write your predictions as an equation will help you to understand how your hypothesis and predictions connect to statistical tests that help determine whether a hypothesis is supported or refuted.
13.1 Discrete and continuous variables
Generally, a hypothesis describes the effect of one factor on another, for example, the effect of a concentration gradient on the direction of osmosis. These factors are called variables and are of two types: the variable that is changed (varied) by the experimenter is called the independent variable, and the variable that changes as a consequence of the changes to the independent variable is called the dependent variable. In our example:
The glucose concentration in the osmometer is the independent variable because it is created by the experimenter, and
The volume of water in the pipette is the dependent variable because it is affected directly by the concentrations inside and outside the osmometer, and is the measured response.
EXPERIMENT 2
This experiment will test how concentrations of 30, 60, and 90% glucose in an osmometer will influence the flow of water molecules across two solutions.
For Experiment 2, we might have the following as our hypothesis, prediction and equation:
Hypothesis: When a solution is more hypertonic, more water will diffuse into it from a hypotonic solution.
Prediction: The volume of water in the osmometer will be largest for the 90% glucose solution, and smallest for the 30% glucose solution.
Equation:
\(v_F = bg + v_0\),
where \(v_F\) is the final volume of liquid in the osmometer (mL), \(b\) is the change in final volume per unit glucose concentration (mL per %), g is the glucose concentration (%), and \(v_0\) is the final volume when the glucose concentration is zero (mL).
Note that in Experiment 2, the independent variable, glucose concentration, takes three different values, (30, 60 and 90%) and these values are taken from options along a continuum. As such, in the above equation we have treated glucose concentration as a CONTINUOUS variable. This changes our hypothesis and predictions. Let’s examine the new equation more closely.
We predicted an increasing relationship between glucose concentration and the final volume of water in the osmometer. In writing our equation, we, more specifically, assumed a linear, or “straight-line”, relationship. An increasing relationship does not have to be a linear relationship, however, without a good reason to assume otherwise, we should assume that a prediction stating an increasing or decreasing relationship between two variables corresponds to a linear (or “straight-line”) relationship with where an increasing relationship has a positive slope and a decreasing relationship has a negative slope.
- Recall that the equation for a straight-line is: \(y = m x + b\),
where \(y\) corresponds to the vertical axis of a graph, \(x\) corresponds to the horizontal axis, \(m\) is the slope of the line and \(b\) is the y-axis intercept (corresponding to \(x = 0\)). Note that the equation above is simply the equation for a straight-line written in the notation of our experiment:
- \(v_F\), the dependent variable, is \(y\),
- \(b\), the effect of \(g\) on \(v_F\), is \(m\), the slope,
- \(g\), the independent variable, is \(x\),
- \(v_0\), the final volume when \(g = 0\), is \(b\).
- Note that the units for each term are equal:
- \(v_F\) has units mL
- \(bg\) has units \(\frac{mL}{\%} \cdot \% =\) mL
- \(v_0\) has units mL Finally, lets consider a third experiment where the independent variable is discrete.
EXPERIMENT 3
The Glycemic Index Foundation of South Africa designates Beverages as “Low”, “Intermediate” or “High” Glycemic Index (GI) values. In this experiment, 3 beverages from each group: Low, Intermediate, and High, are used in place of the glucose solution in the osmometer, and for each of these 9 experiments the solution in the beaker is distilled water.
In Experiment 3, the independent variable is discrete because each beverage belongs to a group. The hypothesis, prediction, and equation for Experiment 3 might be:
Hypothesis: When a solution is more hypertonic, more water will diffuse into it from a hypotonic solution.
Prediction: The volume of water in the osmometer will be largest for the three beverages from the “High” GI group, and smallest for the 3 beverages from the “Low” GI group.
Equation:
\(μ_H > μ_I > μ_L\),
where \(μ_H\) is the mean volume of liquid in the osmometer for the three “High” GI beverages (mL), \(μ_I\) is the mean volume of liquid in the osmometer for the three “Intermediate” GI beverages (mL), and \(μ_L\) is the mean volume of liquid in the osmometer for the three “Low” GI beverages (mL).
- The equation for Experiment 3 is similar to the equation for Experiment 1. For Experiment 3, there were three beverages in each group, so we defined a measure of the central tendency, in this case the mean, so that we could compare between the groups.
13.2 Hypothesis testing
13.2.1 Null hypotheses
Null means nothing or zero and null hypotheses usually describe outcomes where the independent variables have no effect. Null hypotheses are usually paired with alternative hypotheses whereby the independent variable does have an effect. As such, H3 is a potential null hypothesis, since this hypothesis describes the concentration gradient having no effect on the direction of difussion, and could be paired with the alternative hypothesis, H2. When written as an equation, frequently null hypotheses are expressed as a given parameter set equal to zero.
Null Hypothesis: Water diffuses equally in both directions along the osmotic gradient.
Alternative Hypothesis. Water diffuses from a hypotonic solution into a hypertonic solution.
Prediction under the null hypothesiss: The volume of water in the osmometer will not change.
Equation under the null hypothesis:
\(v_F = v_0\),
where \(v_F\) is the final volume of the glucose-dye solution in the osmometer (units: mL), and
\(v_0\) is the initial volume of glucose-dye solution in the osmometer (units: mL).
Historically, many statistical analyses have been performed in the null hypothesis testing framework. More recently, information theoretic approaches that assess the relative support for each of multiple working hypotheses have gained popularity (Burnham and Anderson 2003); that approach may be introduced in upper year courses.
13.3 Further reading
Cite sections of Whitlock and Schluter here.
13.4 Status
We have substantial edits from a colleague to revise this chapter. Would also like to consult with Stats.


The repetition/auto/repeat_from_to.h
header defines an algorithm that repeats a user-specified target for each number in a specified range.
#include <chaos/preprocessor/repetition/auto/repeat_from_to.h>
The CHAOS_PP_AUTO_REPEAT_FROM_TO
macro repeats its third argument for each number in the range specified by its first two arguments.
CHAOS_PP_AUTO_REPEAT_FROM_TO
(from, to, macro)
The lower bound of the range of numbers for which macro is to be repeated.
Valid values range from 0
to to.
The upper bound of the range of numbers for which macro is to be repeated.
Valid values range from from to CHAOS_PP_LIMIT_MAG
.
The target that is to be repeated. This target must be either a λ expression or a macro name that refers to a macro with a signature compatible with the following pseudo-signature:
macro(s, n)
CHAOS_PP_AUTO_REPEAT_FROM_TO
(from, to, macro, ...)
The lower bound of the range of numbers for which macro is to be repeated.
Valid values range from 0
to to.
The upper bound of the range of numbers for which macro is to be repeated.
Valid values range from from to CHAOS_PP_LIMIT_MAG
.
The target that is to be repeated. This target must be either a λ expression or a macro name that refers to a macro with a signature compatible with the following pseudo-signature:
macro(s, n, data†)
†
The data pseudo-parameter must be either ...
or the number of parameters that corresponds to the number of arguments in the auxiliary data, __VA_ARGS__
.
Auxiliary data to be passed through the algorithm to the target.
The CHAOS_PP_AUTO_REPEAT_FROM_TO
macro is a higher-order thunk that deduces the current higher-order entry point and invokes CHAOS_PP_REPEAT_FROM_TO
.
This macro may not be used if bypass semantics are in effect.
CHAOS_PP_AUTO_FOR
CHAOS_PP_AUTO_FOR_AUX
CHAOS_PP_AUTO_REPEAT
CHAOS_PP_AUTO_REPEAT_SHIFTED
CHAOS_PP_FOR
CHAOS_PP_FOR_AUX
CHAOS_PP_FOR_AUX_PARAMETRIC
CHAOS_PP_FOR_AUX_X
CHAOS_PP_FOR_PARAMETRIC
CHAOS_PP_FOR_X
CHAOS_PP_REPEAT
CHAOS_PP_REPEAT_FROM_TO
CHAOS_PP_REPEAT_FROM_TO_PARAMETRIC
CHAOS_PP_REPEAT_FROM_TO_X
CHAOS_PP_REPEAT_PARAMETRIC
CHAOS_PP_REPEAT_SHIFTED
CHAOS_PP_REPEAT_SHIFTED_PARAMETRIC
CHAOS_PP_REPEAT_SHIFTED_X
CHAOS_PP_REPEAT_X
#include<chaos/preprocessor/config.h>
#include<chaos/preprocessor/repetition/auto/repeat_from_to.h>
#ifCHAOS_PP_VARIADICS
#define MACRO(s, n) nCHAOS_PP_AUTO_REPEAT_FROM_TO
(2, 8, MACRO) // 2 3 4 5 6 7 #endif
The CHAOS_PP_AUTO_REPEAT_FROM_TO_ID
macro indirectly expands to CHAOS_PP_AUTO_REPEAT_FROM_TO
.
CHAOS_PP_AUTO_REPEAT_FROM_TO_ID
()
This macro effectively allows CHAOS_PP_AUTO_REPEAT_FROM_TO
to be passed around without expansion.
The CHAOS_PP_AUTO_REPEAT_FROM_TO_
macro expands to a λ expression representing CHAOS_PP_AUTO_REPEAT_FROM_TO
.
CHAOS_PP_AUTO_REPEAT_FROM_TO_
This macro is a shorthand form of the following λ binding:


| Function | beautify |
Undocumented |
| Function | main |
Main routine for generating convergence plots |
| Function | rearrange |
Alligns the number of evaluations taken from the blist with the corresponding flist |
| Variable | final_target |
Undocumented |
| Variable | warned |
Undocumented |


Helpers, as the name suggests, help you with tasks. Each helper file is simply a collection of functions in a particular category.
Helpers are not written in an Object Oriented format. They are simple, procedural functions. Each helper function performs one specific task, with no dependence on other functions.
LF does not load Helper Files by default (though there are a few exceptions) so the first step in using a Helper is to load it. Once loaded, it becomes globally available in your controller and views.
Loading a helper file is quite simple using the following function:
$this->load->systemHelper('name');Where name is the file name of the helper, without the .php file extension.
$this->load->systemHelper('ajax');A helper can be loaded anywhere within your controller functions (or even within your View files, although that's not a good practice), as long as you load it before you use it. You can load your helpers in your controller constructor so that they become available automatically in any function, or you can load a helper in a specific function that needs it.
If you find that you need a particular helper globally throughout your application, you can tell LF to auto-load it during system initialization. This is done by opening the application/config/autoload.php file and adding the helper to the autoload array.
Once you've loaded the Helper File containing the function you intend to use, you'll call it the way you would a standard PHP function. For example, to create a link using the siteLink() function in one of your view files you would do this:
<?php echo siteLink('blog/comments', 'Click Here');?>
Please read the section of the user guide that discusses how to create your own helpers.


Fig.1 - Time Ferris Quote
Picture of Tim Ferris And A Quote:
-
Here is a s a timeline of Tim Ferris's life:
-
1977 - Born 6 weeks premature and given a 10%
chance of living.  A muscular imbalance of the eyes makes me
look in opposite directions, and my mother refers to me
affectionately as “tuna fish.” So far so good.
-
1983 - Nearly fail kindergarten because I refuse
to learn the alphabet. My teacher refuses to explain why I should
learn it, opting instead for “I’m the teacher—that’s why.”  She sends me to the “bad table” instead and makes
me eat a bar of soap. Disdain for authority begins.
-
1991 - My first job. Ah, the memories. I’m hired
for minimum wage as the cleaner at an ice cream parlor and quickly
realize that the big boss’s methods duplicate effort. I do it my
way, finish in one hour instead of eight, and spend the rest of
the time reading kung-fu magazines and practicing karate kicks
outside. I am fired in a record three days, left with the parting
comment, “Maybe someday you’ll understand the value of hard work.”
It seems I still don’t.
-
1993 - I volunteer for a one-year exchange
program in Japan, where people work themselves to death—a
phenomenon called karooshi—and are said to want to be Shinto when
born, Christian when married, and Buddhist when they die. I
conclude that most people are really confused about life. One
evening, intending to ask my host mother to wake me the next
morning (okosu), I ask her to violently rape me (okasu). She is
very confused.
-
1996 - I manage to slip undetected into
Princeton, despite SAT scores 40% lower than the average and my
high school admissions counselor telling me to be more
“realistic.” I conclude I’m just not good at reality. I major in
neuroscience and then switch to East Asian studies to avoid
putting printer jacks on cat heads.
-
1997 - Millionaire time! I create an audiobook
called How I Beat the Ivy League, use all my money from three
summer jobs to manufacture 500 tapes, and proceed to sell exactly
none.  Such is the joy of baseless
overconfidence.
-
1998 - After four shot-putters kick a friend’s
head in, I quit bouncing, the highestpaying job on campus, and
develop a speed-reading seminar. I plaster campus with hundreds of
god-awful neon green flyers that read, “triple your reading speed
in 3 hours!” and prototypical Princeton students proceed to write
“bullsh*t” on every single one. I sell 32 spots at $50 each for
the 3-hour event, and $533 per hour convinces me that finding a
market before designing a product is smarter than the reverse. Two
months later, I’m bored to tears of speed-reading and close up
shop. I hate services and need a product to ship.
-
Fall 1998 - A huge thesis dispute and the acute
fear of becoming an investment banker drive me to commit academic
suicide and inform the registrar that I am quitting school until
further notice. My dad is convinced that I’ll never go back, and
I’m convinced that my life is over. My mom thinks it’s no big deal
and that there is no need to be a drama queen.
-
Spring 1999 - In three months, I accept and quit
jobs as a curriculum designer at Berlitz, the world’s largest
publisher of foreign-language materials, and as an analyst at a
three-person political asylum research firm. Naturally, I then fly
to Taiwan to create a gym chain out of thin air and get shut down
by Triads, Chinese mafia. I return to the U.S. defeated and decide
to learn kickboxing, winning the national championship four weeks
later with the ugliest and most unorthodox style ever witnessed.
-
Fall 2000 - Confidence restored and thesis
completely undone, I return to Princeton. My life does not end,
and it seems the yearlong delay has worked out in my favor.
Twenty-somethings now have David Koresh–like abilities. My friend
sells a company for $450 million, and I decide to head west to
sunny California to make my billions. Despite the hottest job
market in the history of the world, I manage to go jobless until
three months after graduation, when I pull out my trump card and
send one start-up CEO 32 consecutive e-mails. He finally gives in
and puts me in sales.
-
Spring 2001 - TrueSAN Networks has gone from a
15-person nobody to the “number one privately held data storage
company” (how is that measured?) with 150 employees (what are they
all doing?). I am ordered by a newly appointed sales director to
“start with A” in the phone book and dial for dollars. I ask him
in the most tactful way possible why we are doing it like retards.
He says, “Because I say so.” Not a good start.
-
Fall 2001 - After a year of 12-hour days, I find
out that I’m the second-lowest-paid person in the company aside
from the receptionist. I resort to aggressively surfing the web
full-time. One afternoon, having run out of obscene video clips to
forward, I investigate how hard it would be to start a sports
nutrition company. Turns out that you can outsource everything
from manufacturing to ad design. Two weeks and $5,000 of credit
card debt later, I have my first batch in production and a live
website. Good thing, too, as I’m fired exactly one week later.
-
2002-2003 - BrainQUICKEN LLC has taken off, and
I’m now making more than $40K per month instead of $40K per year.
The only problem is that I hate life and now work 12-hour-plus
days 7 days a week. Kinda painted myself into a corner. I take a
one-week “vacation” to Florence, Italy, with my family and spend
10 hours a day in an Internet café freaking out. Sh*t balls. I
begin teaching Princeton students how to build “successful” (i.e.,
profitable) companies.
-
Winter 2004 - The impossible happens and I’m
approached by an infomercial production company and an Israeli
conglomerate (huh?) interested in buying my baby BrainQUICKEN. I
simplify, eliminate, and otherwise clean house to make myself
expendable. Miraculously, BQ doesn’t fall apart, but both deals
do. Back to Groundhog Day. Soon thereafter, both companies attempt
to replicate my product and lose millions of dollars.
-
June 2004 - I decide that, even if my company
implodes, I need to escape before I go Howard Hughes. I turn
everything upside down and—backpack in hand—go to JFK Airport in
New York City, buying the first one-way ticket to Europe I can
find. I land in London and intend to continue on to Spain for four
weeks of recharging my batteries before returning to the salt
mines. I start my relaxation by promptly having a nervous
breakdown the first morning.
-
2004–2005 - Four weeks turn into eight, and I
decide to stay overseas indefinitely for a final exam in
automation and experimental living, limiting e-mail to one hour
each Monday morning. As soon as I remove myself as a bottleneck,
profits increase 40%. What on earth do you do when you no longer
have work as an excuse to be hyperactive and avoid the big
questions?
-
September 2006 - return to the U.S. in an odd,
Zen-like state after methodically destroying all of my assumptions
about what can and cannot be done. “Drug Dealing for Fun and
Profit” has evolved into a class on ideal lifestyle design. The
new message is simple: I’ve seen the promised land, and there is
good news. You can have it all.


font QML Basic Type
a font value with the properties of QFont. The font
type refers to a font value with the properties of QFont.
The most commonly used properties are:
- string
font.family
- bool
font.bold
- bool
font.italic
- bool
font.underline
- real
font.pointSize
- int
font.pixelSize
If both pointSize
and a pixelSize
are specified, pixelSize
will be used.
The following properties are also available:
- enumeration
font.weight
- bool
font.overline
- bool
font.strikeout
- enumeration
font.capitalization
- real
font.letterSpacing
- real
font.wordSpacing
Example:
Text { font.family: "Helvetica"; font.pointSize: 13; font.bold: true }
When integrating with C++, note that any QFont value passed into QML from C++ is automatically converted into a font
value, and vice-versa.
This basic type is provided by the QtQuick import.
Font weighting is classified on a scale from 0 to 99, where a weight of 0 is ultralight, and 99 is extremely black. The following values are supported:
Font.Thin | 0 |
Font.ExtraLight | 12 |
Font.Light | 25 |
Font.Normal | 50 |
Font.Medium | 57 |
Font.DemiBold | 63 |
Font.Bold | 75 |
Font.ExtraBold | 81 |
Font.Black | 87 |
Capitalization supports the following values:
Font.MixedCase | No capitalization change is applied. |
Font.AllUppercase | Alters the text to be rendered in all uppercase type. |
Font.AllLowercase | Alters the text to be rendered in all lowercase type. |
Font.SmallCaps | Alters the text to be rendered in small-caps type. |
Font.Capitalize | Alters the text to be rendered with the first character of each word as an uppercase character. |
See also QML Basic Types.


Issue: ARGUMENT-MISMATCH-ERROR-AGAINForum: Cleanup
References: ARGUMENT-MISMATCH-ERROR, draft 10.156 pp.3-44, 3-48
Category: CHANGE
Edit history: 9-Dec-91, Version 1 by Moon
Status: Accepted 10-Dec-91; 10-1
Problem description:
ARGUMENT-MISMATCH-ERROR left out two cases of argument mismatch error:
(1) a mismatch between a destructuring lambda list and the tree being destructured;
(2) an odd number of arguments supplied to the keyword parameters.
In the current specification, these are both "the consequences are undefined."
This is inconsistent with the handling of the other five argument mismatch errors.
Proposal (ARGUMENT-MISMATCH-ERROR-AGAIN:CONSISTENT):
Add two new subsections to section 3.5, with wording analogous to the subsections
already present, to cover these cases, as follows:
(1) After the existing sentence "The pattern and the \term{macro form} must have
compatible \term{tree structure}; that is, their \term{tree structure} must be
equivalent, or it must differ only in that some \term{leaves} of the pattern
match \term{non-atomic} \term{objects} of the \term{macro form}." add "In a safe
call, an error of type program-error must be signaled; otherwise, the situation
has undefined consequences." followed by the boilerplate about the exact point of
the signal.
(2) Add the following: "An odd number of arguments must not be supplied for the
keyword parameters. In a \term{safe} \term{call}, an error \oftype{program-error}
must be signaled unless either \keyref{allow-other-keys} was used in the
\term{function}'s definition, or ``\f{:allow-other-keys \term{true}}'' was used
in the \term{call}; otherwise, the \term{situation} has undefined consequences."
followed by the boilerplate about the exact point of the signal.
Move some text now on page 3-44 to the new subsection of 3.5 dealing with destructuring.
Rationale:
Consistency.
Current practice:
CLtL did not require this level of error checking, so it's entirely
likely that there are implementations which do not conform.
Cost to Implementors:
The cost of adding additional error checking in some implementations.
Cost to Users:
More robust code.
Cost of non-adoption:
Less safety when users use defmacro; inconsistency in the specification.
Performance impact:
None.


The Broker pattern is used to facade the Watson services to help adding service orchestration, monitoring, resiliency capabilities...
Search company and product in News collection
News
Search for huriccane related information
Weather


We have created a new ticketing system, ThreeFold Support Center (TSC), which allows us to support users of ThreeFold technology in a controlled and efficient manner.
The TSC ticketing system is meant for all deployments and users of TF technology including TF Grid, software, and/or token-related issues.
Want to log a support issue or contact us?
Visit the ThreeFold Support Center, log in with your 3Bot, and click on ‘Submit a ticket.’ You can even follow the process of your ticket on this platform. Fast, easy, and safe.


--- title: Usage layout: default ---
Sticking with the theme of the official compatability library, ActionBarSherlock aims to allow the use of the action bar design pattern by mimicking the experience that would be found natively on Android Ice Cream Sandwich with as little effort as required.
Are you migrating an application from version 3.x to 4.x? Check out the migration guide for detailed steps that will get your app up and running with the new version.
Due to its use of the native action bar and its related classes on Ice Cream Sandwich, the library requires that both it and your project are compiled with Android 4.0 or newer. The project also requires that you are compiling with JDK 1.6 in both your editor and any build systems that you may be using.
Since the library is an extension of the official support library you must also have the android-support-v4.jar
referenced by your project.
There are a few ways to leverage ActionBarSherlock in your projects:
If you’re using the Eclipse Development Environment with the ADT plugin version 0.9.7 or greater you can include ActionBarSherlock as a library project. Create a new Android project in Eclipse using the library/
folder as the existing source. Then, in your project properties, add the created project under the ‘Libraries’ section of the ‘Android’ category.
If you use ant
to compile from the command line you will need to run android update project -p .
inside the library/
folder of the project. Once completed, you can reference the library/
folder of ActionBarSherlock from your application's project.properties
file. For more information please see the Android developer guide for referencing library projects.
If you use maven to build your Android project you can simply add a dependency for this library.
<dependency>
<groupId>com.actionbarsherlock</groupId>
<artifactId>library</artifactId>
<version>4.0.0</version>
<type>apklib</type>
</dependency>
When creating an activity to use the action bar on all versions of Android, you must declare your activity to extend any of the activity classes that start with 'Sherlock' (e.g., SherlockActivity
, SherlockFragmentActivity
). Interaction with the action bar is handled by calling getSupportActionBar()
(instead of getActionBar()
).
The API exposed by the ActionBar
instance is an exact duplicate of that which the native method exposes. Refer to its documentation as well as the articles on how to utilize its functionality in the "Related Links" section.
NOTE: When using SherlockFragmentActivity
there are also 'Sherlock'-prefixed fragment classes which you should use to ensure proper functionality (e.g. SherlockFragment
, SherlockListFragment
). The activity will still function with the normal fragment classes but you will not be able to use any of the menu-related methods.
Since the action bar widget is very complex it requires a set of default themes. The library provides three core themes—one of which must be applied to each activity on which you want the action bar present.
See the theming page for more information.
In order to provide functionality that was not available on version of Android prior to 3.0, the library includes and uses a lot of classes that are named the same as their native counterparts. The three most common are:
com.actionbarsherlock.app.ActionBar
com.actionbarsherlock.view.Menu
com.actionbarsherlock.view.MenuItem
com.actionbarsherlock.view.MenuInflater
It is important to ensure that you are using these types where appropriate since they contain the additional functionality required to support the action bar.
NOTE: The majority of errors regarding the @Override
-ing of methods from the activities are a result of using the incorrect imports. All of the classes which exist in the com.actionbarsherlock.*
package whose names match that of a native class extend from that native class and as such can be used in their place.
NOTE: In order to inflate your menu from XML you should call getSupportMenuInflater()
in your activities. The fragment callbacks will already have an instance of the inflater as an argument.
This library was meant to be as behind-the-scenes as possible and require a minimal amount of changes to support. The core usage of the action bar itself is no different than if you were interacting with the native action bar.
Be sure to also visit the following pages:
The following links are useful information on how to operate the native action bar. Other than the small tweaks mentioned on this page, the entire API is exactly the same.
getSupportActionBar()
exposes.


Software development made easy
Created by Paolo Escobar / @pao_esco
About me
- Java Architect at Sopra Steria
- Technology enthusiast
- Sharing knowledge
DevOps
PaaS
Continuous Delivery
Jenkins
Framework
Microservice
Heroku
TravisCI
VersionEye
Docker
New Relic APM
Coveralls
Monitoring
Logging
SOA
Can you set an application environment in 30 minutes ?
But is this realistic ?
As a Service
Every stack or tool must be a service
- Self-service
- On-demand
- Integrated
- One-click resolution
Thank you for your attention


Hello People
Hope you are doing well!
Welcome to the travel blogs by Aparajita
home
Blog on Andaman Islands
Blog on Kashid beach town
Blog on Bhubaneswar city
Blog on Chilika
Lake
Lagoon


It’s a generated password by Tat, allowing username to communicate with Tat. User creates an account, a mail is send to verify account and user has to go on a Tat URL to validate account and get password. Password is encrypted in Tat Database (sha512 Sum).
First user created is an administrator.
Return a mail to user, with instruction to validate his account.
curl -XPOST \
-H "Content-Type: application/json" \
-d '{"username": "userA", "fullname": "User AA", "email"<EMAIL_ADDRESS>"callback": " Click on scheme://:host::port/user/verify/:username/:token to validate your account"}' \
https://<tatHostname>:<tatPort>/user
Callback is a string sent by mail, indicating to the user how to validate his account.
A system user must have a username starting with tat.system
.
Remove email and set user attribute IsSystem to true.
This action returns a new password for this user.
Warning: it is an irreversible action.

A system user
must have a username starting with tat.system
.


nothing, but if you are starbucks reading this, hit me up😉
does it actually boost motivation?
i've tested it in the spotfindr team (an app created by me) and everyone in
that team has said that they now have a venti motivation, whereas they just
had minor motivation before


{%extends "index.html" %} {% macro render_radio_field(field) -%} {% for value, label, _ in field.iter_choices() %}
Please fill all the following fields:
Important Notice: UNU-BIOLAC will priviledge budget funds mostly oriented to the students' mobilization, and exhorts course coordinators not to charge registration fares.
*UNU-BIOLAC will fund courses up to 15000 USD and will not consider proposals with no counterpart funds.


Paris is the capital of France.
Tokyo is the capital of Japan.
HRBP
HR Ops Team
HR Controls / L&OD / C&D
OnBoarding Candidate Engagement


*** User 2017-04-18 14:18:28.993 ***
14:18:28.993 [info] Disabling blocking sync...
*** User 2017-04-18 14:18:28.998 ***
14:18:28.997 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-1@MBPdeAnneFrance'
*** User 2017-04-18 14:18:30.453 ***
14:18:30.453 [info] Enabling membership...
*** User 2017-04-18 14:18:30.454 ***
14:18:30.454 [info] Disabling blocking sync...
*** User 2017-04-18 14:18:30.459 ***
14:18:30.459 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-2@MBPdeAnneFrance'
*** User 2017-04-18 14:18:31.916 ***
14:18:31.916 [info] Enabling membership...
*** User 2017-04-18 14:18:31.917 ***
14:18:31.917 [info] Disabling blocking sync...
*** User 2017-04-18 14:18:31.922 ***
14:18:31.922 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-3@MBPdeAnneFrance'
*** User 2017-04-18 14:18:32.133 ***
Joining node: 'node-3@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 50469
*** User 2017-04-18 14:18:32.133 ***
Joining issued: 'node-3@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 50469
*** User 2017-04-18 14:18:32.134 ***
Joining node: 'node-2@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 50454
*** User 2017-04-18 14:18:32.134 ***
Joining issued: 'node-2@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 50454
*** User 2017-04-18 14:18:32.135 ***
Joining node: 'node-1@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 50443
*** User 2017-04-18 14:18:32.135 ***
Joining issued: 'node-1@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 50443
*** User 2017-04-18 14:18:32.196 ***
Waiting for join to complete with manager: partisan_default_peer_service_manager
*** User 2017-04-18 14:18:32.197 ***
Finished.
*** CT 2017-04-18 14:18:32.197 *** COVER INFO
Adding nodes to cover test: [runner@MBPdeAnneFrance]
*** CT 2017-04-18 14:18:32.206 *** COVER INFO
Successfully added nodes to cover test: []
*** User 2017-04-18 14:18:32.207 ***
Manager: partisan_default_peer_service_manager
*** User 2017-04-18 14:18:32.207 ***
14:18:32.207 [info] Nodes: [runner@MBPdeAnneFrance,'node-3@MBPdeAnneFrance','node-2@MBPdeAnneFrance','node-1@MBPdeAnneFrance']
*** User 2017-04-18 14:18:32.207 ***
14:18:32.207 [info] Waiting for cluster to stabilize.
*** User 2017-04-18 14:18:42.210 ***
Case finished: membership_test
*** User 2017-04-18 14:18:49.254 ***
14:18:49.254 [info] Application lasp exited with reason: stopped
*** User 2017-04-18 14:18:49.255 ***
14:18:49.255 [info] Application partisan exited with reason: stopped
=== Ended at 2017-04-18 14:18:49
=== successfully completed test case
=== Returned value: ok
Test run history
| Top level test index


Information on coconut oil
Table of Contents
1 Production
1.1 Dry process
Traditional way of making coconut oil using an ox-powered mill in Seychelles
Coconut oil can be extracted through "dry" or "wet" processing. Dry processing requires the meat to be extracted from the shell and dried using fire, sunlight, or kilns to create copra.1 The copra is pressed or dissolved with solvents, producing the coconut oil and a high-protein, high-fiber mash. The mash is of poor quality for human consumption and is instead fed to ruminants; there is no process to extract protein from the mash. A portion of the oil extracted from copra is lost to the process of extraction
1.2 Wet process
The all-wet process uses raw coconut rather than dried copra, and the protein in the coconut creates an emulsion of oil and water.2 The more problematic step is breaking up the emulsion to recover the oil. This used to be done by prolonged boiling, but this produces a discolored oil and is not economical; modern techniques use centrifuges and pre-treatments including cold, heat, acids, salts, enzymes, electrolysis, shock waves, or some combination of them. Despite numerous variations and technologies, wet processing is less viable than dry processing due to a 10–15% lower yield, even compared to the losses due to spoilage and pests with dry processing. Wet processes also require investment of equipment and energy, incurring high capital and operating costs.3
Proper harvesting of the coconut (the age of a coconut can be 2 to 20 months when picked) makes a significant difference in the efficacy of the oil-making process. Copra made from immature nuts is more difficult to work with and produces an inferior product with lower yields.4
Conventional coconut oil uses hexane as a solvent to extract up to 10% more oil than just using rotary mills and expellers. The oil is then refined to remove certain free fatty acids, in order to reduce susceptibility to rancidification. Other processes to increase shelf life include using copra with a moisture content below 6%, keeping the moisture content of the oil below 0.2%, heating the oil to 130–150 °C (266–302 °F) and adding salt or citric acid.5
Virgin coconut oil (VCO) can be produced from fresh coconut milk, meat, or residue. Producing it from the fresh meat involves removing the shell and washing, then either wet-milling or drying the residue, and using a screw press to extract the oil. VCO can also be extracted from fresh meat by grating and drying it to a moisture content of 10–12%, then using a manual press to extract the oil. Producing it from coconut milk involves grating the coconut and mixing it with water, then squeezing out the oil. The milk can also be fermented for 36–48 hours, the oil removed, and the cream heated to remove any remaining oil. A third option involves using a centrifuge to separate the oil from the other liquids. Coconut oil can also be extracted from the dry residue left over from the production of coconut milk.5
A thousand mature coconuts weighing approximately 1,440 kilograms (3,170 lb) yield around 170 kilograms (370 lb) of copra from which around 70 litres (15 imp gal) of coconut oil can be extracted.6 RBD Coconuts drying outdoors in Kozhikode, Kerala for making copra, which is used for making coconut oil
RBD stands for "refined, bleached, and deodorized." RBD oil is usually made from copra (dried coconut kernel).
The dried copra is placed in a hydraulic press with added heat and the oil is extracted. This yields up practically all the oil present, amounting to more than 60% of the dry weight of the coconut.7
This "crude" coconut oil is not suitable for consumption because it contains contaminants and must be refined with further heating and filtering.
Another method for extraction of a "high-quality" coconut oil involves the enzymatic action of alpha-amylase, polygalacturonases, and proteases on diluted coconut paste.8
Unlike virgin coconut oil, refined coconut oil has no coconut taste or aroma. RBD oil is used for home cooking, commercial food processing, and cosmetic, industrial, and pharmaceutical purposes. Hydrogenation
RBD coconut oil can be processed further into partially or fully hydrogenated oil to increase its melting point. Since virgin and RBD coconut oils melt at 24 °C (76 °F), foods containing coconut oil tend to melt in warm climates. A higher melting point is desirable in these warm climates, so the oil is hydrogenated. The melting point of hydrogenated coconut oil is 36–40 °C (97–104 °F).
In the process of hydrogenation, unsaturated fats (monounsaturated and polyunsaturated fatty acids) are combined with hydrogen in a catalytic process to make them more saturated. Coconut oil contains only 6% monounsaturated and 2% polyunsaturated fatty acids. In the partial hydrogenation process, some of these are transformed into trans fatty acids.9 Fractionation
Fractionated coconut oil provides fractions of the whole oil so that its different fatty acids can be separated for specific uses. Lauric acid, a 12-carbon chain fatty acid, is often removed because of its high value for industrial and medical purposes.10 The fractionation of coconut oil can also be used to isolate caprylic acid and capric acid, which are medium-chain triglycerides, as these are used for medical applications, special diets and cosmetics, sometimes also being used as a carrier oil for fragrances.11 Figures
The United States Department of Agriculture has published estimated production figures for coconut oil as follows; tabulated years are from October 1 through September 30:12


What are the benefits of version control?
One of the main benefits of version control is that you can more accurately keep track of your work, and test new changes with a long history of back ups. For example, if a change to your code does not work, you can easily go back to a previous working version.
How does git help you keep track of changes?
Git helps you to keep track of changes, by keeping a version of every commit you save. That way you can easily compare your current work to all of your past updates to your program.
When you are using CSS you will run into three tags that are very useful when you are positioning elements on your website and they are margin, border, and padding. At first glance they may seem very similar, but the subtle differences between them are what can separate a site that looks amazing from one that looks decent.
This is the standard image that you will usually see when trying to research the difference between the three attributes. Looks a bit confusing right? There's a lot going on there, let's use a simpler example, and then look back at this and make some sense of it.


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Borrowing the idea from marching ants selection of computer graphics programs, marching ants is extended to a dynamics where the patterns shift along a path at certain speed for an illusion of ants marching. Tapping to our daily experience, marching ants provides direct perception of direction and speed. With rich design variation, it is also capable of indicating semantic message. As an covering over visual elements, marching ants dynamic is orthogonal to other visual channels, except potential interference when there is wispy texture in visualization.
Geometry deformation applies potentially exaggerated spatial modifications to the shape or placement of visual elements, at a certain pace. The joint transformation of individual elements can implicitly convey the existence of groups and relationships among parties. Beyond indication of such properties, numerical information can be encoded by adjusting the extent of applied deformation, from subtle to extreme. Since GD shifts or rescales elements, it may interfere with existing visual channels that utilize element size and geometric shapes to express certain attributes.
We present a few examples for static visualizations that were enhanced with our dynamic effects. Among those examples, Infographics can be enhanced with dynamic effects highlighting implicit information to make the visualization speak for itself. Conventional charts (e.g., boxplot, bar chart, etc.) are a tried-and-true tool that makes good use of static visual cues to display information. We demonstrate ways to extend static charts to dynamic ones using dynamic effects, to promote better understanding or provide more information. Please click thumbnails to check the dynamic version for details : )