RSVis is a visualization tool for exploring and for viewing remote sensing data.
The source code can be found under the following link.
Python 3.x
Git (optional)
CloudCompare (optional)
If git
is installed on your personal computer, start a virtual environment in python
and run the following installation command
pip install -e git+http://github.com/wbrandenburger/DataVisualization.git#egg=rsvis
Otherwise, download the source code of the repository to an arbitrary path and install the package via
pip install -e git+file:///path/to/your/git/repo#egg=rsvis
or
python path/to/your/git/repo/setup.py install develop
Start the virtual environment in python where the data visualization package is located and navigate to the main folder with the dataset of the lecture and run the following command
rsvis run "lecture.yaml" --task_set tasks --task lecture
The field path_dir
of key param_io
in lecture.yaml
has to point to an existing path, where displayed images can be saved. The other parameter of the key are not relevant for the user. If images have to be saved under Windows in folder C:\User\Username\RSVis
the key param_io
might be defined as follows:
param_io:
path_dir: C:\User\Username\RSVis
path_name: '{}'
regex:
- .*
- 0
ext: .tif
The field path_dir
of key param_io
in lecture.yaml
has to point to an existing path, where displayed images can be saved. The other parameter of the key are not relevant for the user. If images have to be saved under Windows in folder C:\\User\\Username\\RSVis
the key param_io
might be defined as follows:
param_io:
path_dir: C:\\User\\Username\\RSVis
path_name: '{}'
regex:
- .*
- 0
ext: .tif
If the use of CloudCompare is desired, the field cloud_viewer
and cloud_editor
of key param_cloud
have to point to the executables of ccViewer
and CloudCompare
, for example:
param_cloud:
cloud_viewer: "C:\\Program Files\\ccViewer\\ccViewer.exe",
cloud_editor: "C:\\Program Files\\CloudCompare\\CloudCompare.exe",
Since, the use of CloudCompare is not activated by default, the command to execute RSVis
changes to:
rsvis run "lecture.yaml" --task_set tasks --task rsshow
The Vaihingen data set was provided by the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF) Cramer, 2010
[1]: Cramer, M., 2010. The DGPF test on digital aerial camera evaluation – overview and test design. Photogrammetrie – Fernerkundung – Geoinformation 2(2010): 73-82.


ContractWrapperGenerator
public class FabricContractWrapperGenerator extends java.lang.Object implements ContractWrapperGenerator
All parameters are passed/retrieved as UTF-8 encoded Strings to/from the chaincode.
Java Strings are
automatically converted by the wrapper classes, for every other type instance of TypeConverter
is required.
However, FabricDefaultTypeConverters.getConverters()
provides type converters for the following types:
All contract methods can handle the following special arguments.
Collection
of
String
containing the peer names as defined in the network configuration. FabricContractInfo.setTargetPeerNames(Set)
or via a special argument (Constants.TARGET_PEERS_ARGUMENT
). If no target peers are set, every method will target all peers known to the
channel.
User
.
Constants.INSTALL_METHOD
) installs the
Hyperledger Fabric chaincode on the target peers. Constants.USER_ARGUMENT
) with the correct permissions is required. Moreover, the following
properties of the corresponding contract info need to be set: FabricContractInfo.chaincodeSourceDirectory
and
FabricContractInfo.chaincodeLanguage
. Constants.INSTANTIATE_METHOD
) instantiates
the Hyperledger Fabric chaincode on the target peers and submits a transaction to the orderer. Constants.USER_ARGUMENT
) with the correct
permissions is required. Moreover, the following properties of the corresponding contract info need to be set: FabricContractInfo.chaincodeSourceDirectory
, FabricContractInfo.chaincodePolicy
and FabricContractInfo.chaincodeLanguage
. | Constructor | Description |
|---|---|
FabricContractWrapperGenerator(java.util.function.Supplier<org.hyperledger.fabric.sdk.HFClient> clientFactory,
java.util.function.Function<org.hyperledger.fabric.sdk.HFClient,org.hyperledger.fabric.sdk.Channel> channelFactory,
TypeConverters typeConverters) |
Initializes a new
FabricContractWrapperGenerator . |
| Modifier and Type | Method | Description |
|---|---|---|
<TContractInfo extends ContractInfo<TContractType,?,?>,TContractType> |
generate(TContractInfo contractInfo) |
Generates a new wrapper for the smart contract described by
contractInfo . |
getWrapperName
public FabricContractWrapperGenerator(java.util.function.Supplier<org.hyperledger.fabric.sdk.HFClient> clientFactory, java.util.function.Function<org.hyperledger.fabric.sdk.HFClient,org.hyperledger.fabric.sdk.Channel> channelFactory, TypeConverters typeConverters)
FabricContractWrapperGenerator
.
For each contract wrapper, a new instances of HFClient
and Channel
are retrieved via its factories.
It is possible for those factories to always return the same instance.
clientFactory
- factory producing HFClient
instances for communicating with the Hyperledger Fabric network.channelFactory
- factory producing Channel
instances for authorizing transactions. An instance of HFClient
produced via clientFactory
is passed to this function.typeConverters
- additional TypeConverter
, may be nullpublic <TContractInfo extends ContractInfo<TContractType,?,?>,TContractType> TContractType generate(TContractInfo contractInfo)
contractInfo
. contractInfo
needs to be of type FabricContractInfo
.generate
in interface ContractWrapperGenerator
TContractInfo
- type of the contract info, required to be FabricContractInfo
TContractType
- Java interface declaring the chaincode methods and eventscontractInfo
- contract info representing the chaincodeTContractType


The web should be for everyone who has access to it. It makes sense, doesn't it? The problem is that most web developers tend not to think in terms of accessibility, or even efficient usability for that matter. We must stop designing for only 85% of users and consider how to make designs work for all. Accessible and usable design does not necessarily mean that aesthetic and streamlined methods must be sacraficed. This is just an important skill and mode of thought to incorporate if not done so already.
Accessible design is good design.
This conference seeks to bring creators together in order to facilitate discussions and workshops that will allow guests to learn more about what accessible design is and how it is used. We hope that the chosen speakers for this year will be able to inspire and aid guests in thinking more inclusively.
Dana Chisnell and Whitney Quesenbery co-founded the Center for Civic Design is led by co-directors Dana Chisnell and Whitney Quesenbery. At the center they work with election officials on usability and design of ballots and other election materials. The two teach a course on design in elections that is part of the Election Academy at the University of Minnesota.
Find their full descriptions here.


KRITA(1) office KRITA(1) NAME Krita - Digital Painting for Artists SYNOPSIS krita [Qt-options] [KDE-options] [Calligra-options] [file(s)] DESCRIPTION Krita is a creative application for raster images. Whether you want to create from scratch or work with existing images, Krita is for you. You can work with photos, scanned images or start with a blank slate. Krita supports most graphics tablets out of the box. OPTIONS file(s) File(s) or URL(s) to open Generic options: --help Show help about options --help-qt Show Qt specific options --help-kde Show KDE specific options --help-all Show all options --author Show author information -v, --version Show version information --license Show license information SEE ALSO More detailed user documentation is available from help:/krita (either enter this URL into Konqueror, or run khelpcenter help:/krita). AUTHOR This manual page was written by Adrien Grellier <adrien.grel‐<EMAIL_ADDRESS>for the Debian project (but may be used by others). 11 septembre 2011 KRITA(1)


Best of Blender Artists: 2019, week 45
by Bart VeldhuizenEvery week, hundreds of artists share their work on the Blender Artists forum. I'm putting some of the best work in the spotlight in a weekly post here on BlenderNation.
- Lighthouse
- Neon By Night
- Tea Jar
- Sky Bridge
- Halloween-o-forest
- Soulmates in da Bath stuckouttongue
- Commander
- Blossom
- [Artwork] Hanima Corp. Plant
- Concept Art: Early Shift
- Exterior Nature Cabin
- Spacecraft
- Vacuum Tube Amplifier
- Self-Portrait
-
Russel from
UP
- Skater
- The Perfect Storm Loft - Interior
- Saint Demon Vint
- Imitation Works
- Lil Artist’s Room
- Oil tanker [Low poly]
- Isometric Living room
- Lumos


{# Please note that only users with CMS Hub will have access to the HubDB tool. Therefore, this template should not be used in accounts without CMS Hub. We don't currently accept marketplace assets that leverage HubDB (https://developers.hubspot.com/docs/cms/marketplace-requirements/compliance-design-code-quality#1-3-unacceptable-asset-marketplace-submissions) so please remove this template if you're creating a marketplace asset. #} {# Before getting started with using HubDB we highly recommend you read through our HubDB documentation (https://developers.hubspot.com/docs/cms/features/hubdb) #} {% extends "./layouts/base.html" %} {# Testing config #} {# By setting the testing variable below to true, you can preview your template changes using a specific HubDB table directly from the design manager. Set the testing variable to false and isAvailableForNewContent in the template annotations to true when you're ready to use this template for a live page. #} {% set testing = true %} {# Set to false for production #} {% set testing_table_id = null %} {# Set to HubDB table id (integer) #} {% set testing_row_id = null %} {# Set to a HubDB table row id (integer) #} {% set testing_page_level = 0 %} {# Set to the dynamic page route level that you want to test. Set 0 for the root level page and 1 for an example of a dynamic page based on the testing_row_id #} {# Testing/production logic #} {% if testing %} {% set table_id = testing_table_id %} {% set row = hubdb_table_row( table_id, testing_row_id ) %} {% set page_level = testing_page_level %} {% else %} {% set table_id = dynamic_page_hubdb_table_id %} {% set row = dynamic_page_hubdb_row %} {% set page_level = dynamic_page_route_level %} {% endif %} {# Used on top level (table_id set in testing/production logic) #} {% set rows = hubdb_table_rows( table_id ) %} {% block body %}
| Label | Name | Value |
|---|---|---|
| {{ col.label }} | {{ col.name }} |
{{ row[ col.name ] }} |


Package b2p.state.bitboard.bitset
Class BitSetMove
- java.lang.Object
-
- b2p.state.bitboard.bitset.BitSetMove
-
public class BitSetMove extends java.lang.Object
BitSetMove Class provides methods for pieces' moves on the board as well as some functions used in the heuristics- Author:
- Alessandro Buldini, Alessandro Pomponio, Federico Zanini
-
-
Constructor Summary
Constructors Constructor Description BitSetMove()
-
Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method Description static int
blackPawnsOutOfCamps(IState state)
Returns an heuristic value depending on how many black pawns are out of campsstatic int
dangerToKing(IState state)
Returns an heuristic value depending on how many black pawns endangering the kingstatic int
diagonalBlackCouples(IState state)
Returns an heuristic value depending on how many black pawns are in a diagonal position near to each otherstatic int
findTargetQuadrantForWhites(BitSetState state)
Returns an heuristic value depending on which is the best quadrant to target for the white playerstatic B2PBitSet
getCapturedPawns(int from, int to, IState state)
Returns aB2PBitSet
which has set at 1 all captured pawnsstatic java.util.List<IAction>
getMovesForPawn(int pawnPosition, IState state)
Returns a list of possible moves for a given pawn position and a given game statestatic int
kingEscapesInOneMove(IState state)
Returns a value depending on how many escapes the king has in a given state of the gamestatic boolean
kingHasMoreThanOneEscapePath(IState state)
Returns a Boolean value depending on whether the king has more than one escape path in a given state of the gamestatic int
kingMoves(IState state)
Returns an heuristic value depending on how many moves does the king havestatic int
kingStatus(IState state)
Returns an heuristic value depending on how many white and black pawns are near the king whether the king is in the throne, outside the throne or near the thronestatic int
movesNeededForKingEscape(IState state)
Returns an heuristic value depending on how many moves the king needs to perform in order to escapestatic int
positionWeights(IState state)
Returns an heuristic value considering the weight of every position in the boardstatic int
whiteCellInStrategicPosition(IState state)
Returns an heuristic value depending on how many white pawns are in a strategic positionstatic int
whitePawnsAdjacentKing(IState state)
Returns an heuristic value depending on how many white pawns are adjacent to king
-
-
-
Method Detail
-
getMovesForPawn
public static java.util.List<IAction> getMovesForPawn(int pawnPosition, IState state)
Returns a list of possible moves for a given pawn position and a given game state- Parameters:
pawnPosition
- position of the pawnstate
- current state of the game- Returns:
- A List of possible moves
- See Also:
IState
-
getCapturedPawns
public static B2PBitSet getCapturedPawns(int from, int to, IState state)
Returns aB2PBitSet
which has set at 1 all captured pawns- Parameters:
from
- the position of the pawn starting cellto
- the position of the pawn final cellstate
- the current state of the game- Returns:
- a
B2PBitSet
which has set at 1 all captured pawns - See Also:
B2PBitSet
-
kingEscapesInOneMove
public static int kingEscapesInOneMove(IState state)
Returns a value depending on how many escapes the king has in a given state of the game- Parameters:
state
- the current state of the game- Returns:
- an Integer representing an heuristic value
- See Also:
BitSetPosition
-
kingHasMoreThanOneEscapePath
public static boolean kingHasMoreThanOneEscapePath(IState state)
Returns a Boolean value depending on whether the king has more than one escape path in a given state of the game- Parameters:
state
- the current state of the game- Returns:
true
if the king has more than one escape path- See Also:
BitSetPosition
-
positionWeights
public static int positionWeights(IState state)
Returns an heuristic value considering the weight of every position in the board- Parameters:
state
- the current state of the game- Returns:
- an heuristic value
- See Also:
B2PBitSet
-
whiteCellInStrategicPosition
public static int whiteCellInStrategicPosition(IState state)
Returns an heuristic value depending on how many white pawns are in a strategic position- Parameters:
state
- the current state of the game- Returns:
- an heuristic value
- See Also:
whiteEarlyGameStrategicCells
-
kingStatus
public static int kingStatus(IState state)
Returns an heuristic value depending on how many white and black pawns are near the king whether the king is in the throne, outside the throne or near the throne- Parameters:
state
- the current state of the game- Returns:
- an heuristic value
- See Also:
B2PBitSet
-
kingMoves
public static int kingMoves(IState state)
Returns an heuristic value depending on how many moves does the king have- Parameters:
state
- the current state of the game- Returns:
- an heuristic value
- See Also:
getAvailableKingMoves
-
blackPawnsOutOfCamps
public static int blackPawnsOutOfCamps(IState state)
Returns an heuristic value depending on how many black pawns are out of camps
-
diagonalBlackCouples
public static int diagonalBlackCouples(IState state)
Returns an heuristic value depending on how many black pawns are in a diagonal position near to each other
-
whitePawnsAdjacentKing
public static int whitePawnsAdjacentKing(IState state)
Returns an heuristic value depending on how many white pawns are adjacent to king
-
dangerToKing
public static int dangerToKing(IState state)
Returns an heuristic value depending on how many black pawns endangering the king- Parameters:
state
- the current state of the game- Returns:
- an heuristic value
- See Also:
IState
,B2PBitSet
,castle
,specialKingCells
-
movesNeededForKingEscape
public static int movesNeededForKingEscape(IState state)
Returns an heuristic value depending on how many moves the king needs to perform in order to escape- Parameters:
state
- the current state of the game- Returns:
- an heuristic value
- See Also:
IState
,movesNeededForKingEscape_rec
-
findTargetQuadrantForWhites
public static int findTargetQuadrantForWhites(BitSetState state)
Returns an heuristic value depending on which is the best quadrant to target for the white player- Parameters:
state
- the current state of the game- Returns:
- an heuristic value
- See Also:
BitSetState
,BitSetStartingBoard
-
-


Swede strike
Watch as Celtic kid Lee O’Connor scores for Ireland U-21s in win over Sweden
by David FowlerCELTIC starlet Lee O'Connor scored a brilliant goal as Ireland U-21s came from behind to beat Sweden.
The Hoops' summer signing is yet to appear for Neil Lennon's top team - but has shown his credentials on the international stage.
The 19-year-old made his full international debut last week and grabbed an assist in the 3-1 win over New Zealand.
He was back on Under-21 duty last night and his goal sparked a stunning comeback against the Swedes in Euro qualifying.
Stephen Kenny's men currently occupy top spot in their section from Italy - who have played two games less.
The visitors opened the scoring after 18 minutes through Viktor Gyoekeres.
Former Manchester United teen O'Connor levelled for the hosts before Adam Idah turned the game on its head.
Troy Parrott and Zach Elbouzedi added further strikes as the home side ran out comfortable winners in the end.
O'Connor, who arrived at Parkhead on summer deadline day, has set himself a target of pushing for Celtic's first team.
Speaking after his Ireland debut last week, he said: "My whole family came up and my friends.
"It was a great moment for me and for them. It’s something you work for your whole life. To get it at 19 years of age is a dream come true… it doesn’t get much better.
"I felt fine. At the start you have a couple of butterflies but once the whistle blows you just have to get on with it.
"Everyone was very welcoming.
"Of course there’s a big step-up, but I think I done well. I’m happy with my performance. Hopefully it’s the first of many.
"The assist was a great moment for me. Robbie’s left footed. It kind of played into my hands, I could go around the outside. I thought we worked well together.
"That’s what I want to do now, push for the first team at Celtic. Hopefully I can."
Keep u p to date with ALL the latest news and transfers at the Scottish Sun football page


List of all members.
Classes |
| class | PerceptronLayer |
| class | PerceptronLayers |
Public Member Functions |
| | MultilayerPerceptron (int inputs, int outputs, vector< int > &hidden, int recurrent, float learningRate) |
| | MultilayerPerceptron (int inputs, int outputs, float learningRate) |
| | ~MultilayerPerceptron () |
| void | calculate (const float *input) |
| const float * | getResult () |
| void | feedback (const float *target) |
| void | setLearningRate (float learningRate) |
| void | loadFile (const char *fileName) |
| void | saveFile (const char *fileName) |
Protected Attributes |
|
int | numLayers |
|
PerceptronLayers | layers |
|
PerceptronLayer * | inputLayer |
|
PerceptronLayer * | outputLayer |
|
vector< float > | inputData |
|
int | numInputs |
|
int | numRecurrent |
|
PerceptronLayer * | lastHiddenLayer |
Constructor & Destructor Documentation
| Sys::ArtificialIntelligence::EagerLearning::MultilayerPerceptron::MultilayerPerceptron |
( |
int |
inputs, |
|
|
int |
outputs, |
|
|
vector< int > & |
hidden, |
|
|
int |
recurrent, |
|
|
float |
learningRate |
|
) |
| |
Creates a new instance of a multilayer Perceptron. All weigts are initialized with random values between -0.3 to + 0.3.
- Parameters:
-
| inputs | - The number of input neurons |
| outputs | - The number of output neurons |
| hidden | - The number of hidden neurons for multiple hidden layers |
| recurrent | - The number of recurrent neurons (neurons added to the last hidden layer that are connected with the input layer) |
| learningRate | - float point value between 0.0 and 1.0 |
- Exceptions:
-
| std::invalid_argument | - if an invalid size parameter is declared |
| std::bad_alloc | - if memory allcation fails |
| Sys::ArtificialIntelligence::EagerLearning::MultilayerPerceptron::MultilayerPerceptron |
( |
int |
inputs, |
|
|
int |
outputs, |
|
|
float |
learningRate |
|
) |
| |
Creates a new instance of a single layer Perceptron. All weigts are initialized with random values between -0.3 to + 0.3.
- Parameters:
-
| inputs | - The number of input neurons |
| outputs | - The number of output neurons |
| learningRate | - float point value between 0.0 and 1.0 |
- Exceptions:
-
| std::invalid_argument | - if an invalid size parameter is declared |
| std::bad_alloc | - if memory allcation fails |
| Sys::ArtificialIntelligence::EagerLearning::MultilayerPerceptron::~MultilayerPerceptron |
( |
| ) |
|
Frees all reserved ressources
Member Function Documentation
| void Sys::ArtificialIntelligence::EagerLearning::MultilayerPerceptron::calculate |
( |
const float * |
input | ) |
|
calculates the output of the multilayer perceptron based on the declared input and weights
- Parameters:
-
| input | - input vector with the dimension declared in the constructor |
- Returns:
- - none
| void Sys::ArtificialIntelligence::EagerLearning::MultilayerPerceptron::feedback |
( |
const float * |
target | ) |
|
adapts the weights of the mulitlayer perceptron
- Parameters:
-
| target | - value which should have been returned by calculate() |
- Returns:
- - none
| const float * Sys::ArtificialIntelligence::EagerLearning::MultilayerPerceptron::getResult |
( |
| ) |
|
returns a pointer to the result of the previous call to calculate()
- Returns:
- - float pointer to the result of the first output neuron
| void Sys::ArtificialIntelligence::EagerLearning::MultilayerPerceptron::loadFile |
( |
const char * |
fileName | ) |
|
Loads weights of all layers of the multilayer perceptron from an binary file
- Parameters:
-
| *fileName | - Path to file which should be opened |
- Exceptions:
-
| ios_base::failure | - if opening or writing the file fails |
- Returns:
- - none
| void Sys::ArtificialIntelligence::EagerLearning::MultilayerPerceptron::saveFile |
( |
const char * |
fileName | ) |
|
Saves weights of all layers of the multilayer perceptron to a binary file. If the file already exits it will be overwritten.
- Parameters:
-
| *fileName | - Path to file which should be created |
- Exceptions:
-
| ios_base::failure | - if opening or writing the file fails |
- Returns:
- - none
| void Sys::ArtificialIntelligence::EagerLearning::MultilayerPerceptron::setLearningRate |
( |
float |
learningRate | ) |
|
Changes the learning rate for all layers of the multilayer perceptron
- Parameters:
-
| learningRate | - float point value between 0.0 and 1.0 |
- Returns:
- - none
The documentation for this class was generated from the following files:


PARKIT
Parking No.
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< Home


Introduction
Ambient is semantic
Ambient makes use of HTML5 sections & outlines to layout the document outline.
Scaffolding
On orientation portrait, explicit sections will automatically stack.
Ambient does not style components by default. View all components
Do use HTML5 sectioning elements to build the intent of content in the document outline.
Do NOT use HTML5 sectioning elements as a replacement for content better suited to adiv
.
See the Pen Idea for flexbox HTML5 scaffolding & layout attributes by I only see spots (@ionlyseespots) on CodePen.
Build the intent of your content
Back to basics. Feel free to use HTML5 semantic elements to build your content in the document outline.
You can add additional am-layout
values as well as extend child attributes am-SOMETHING
to your scaffolding to gradually build a hierarchy that defines your layout.
Explicit
All content lying inside the
body
element is part of a section. Sections in HTML5 can be nested. Beside the main section, defined by thebody
element, section limits are defined either explicitly or implicitly. Explicitly-defined sections are:
| Scaffolding | Description |
|---|---|
| body | Represents the content of an HTML document. |
| header | Represents a group of introductory or navigational aids. |
| nav | Represents a section of a page that links to other pages or to parts within the page. |
| main | Represents the main content of the body of a document or application. |
| article | Represents a self-contained composition in a document, page, application, or site. |
| section | Represents a generic section of a document, |
| aside | Represents a section of the page with content connected tangentially to the rest, which could be considered separate from that content. |
| footer | Represents a footer for its nearest sectioning content or sectioning root element. |
Implicit
The HTML Headings Elements (h1 to h6) defines a new, implicit, section when they aren't the first heading of their parent, explicit, sections. The way this implicit section is positioned in the outline is defined by its relative rank with the previous heading in their parent section. If it is of a lower rank than the previous heading, it opens a implicit sub-section of the section.
| Scaffolding | Description |
|---|---|

|
A heading element briefly describes the topic of the section it introduces. |


| Home > Documentation > Developing > Tutorials > Getting familiar with the development environment > Getting familiar with Geronimo Eclipse Plugin (GEP) > Using security realm wizard in GEP |
This article shows you how to create a security realm using Geronimo Eclipse Plugin(GEP) during development.
In this article, we use a sample Dynamic Web Project and SQL realm for demonstration. You can of course choose the project or realm type as you needed.
geronimo-web.xml
file under /META-INF directory of your application to open it in Geronimo Deployment Plan Editor, you will see general information page of the application.
Now you have created a new security realm for a simple Web application. You can click the Source tab to review the sample deployment plan.
| Bookmark this on Delicious Digg this | Privacy Policy - Copyright © 2003-2013, The Apache Software Foundation, Licensed under ASL 2.0. |


4.7 psb_geasums — Generalized 1-Norm of Vector
This subroutine computes a series of 1-norms on the columns of a dense matrix
x:
This function computes the 1-norm of a vector x.
If x is a real vector it computes 1-norm as:
else if x is a complex vector then it computes 1-norm as:
call psb_geasums(res, x, desc_a, info)
|
|
|
| res | x | Subroutine |
|
|
|
| Short Precision Real | Short Precision Real | psb_geasums |
| Long Precision Real | Long Precision Real | psb_geasums |
| Short Precision Real | Short Precision Complex | psb_geasums |
| Long Precision Real | Long Precision Complex | psb_geasums |
|
|
|
| |
Table 7: Data types
-
Type:
- Synchronous.
-
On Entry
-
-
x
- the local portion of global dense matrix x.
Scope: local
Type: required
Intent: in.
Specified as: a rank one or two array or an object of type
psb_T_vect_type containing numbers of type specified in Table 7.
-
desc_a
- contains data structures for communications.
Scope: local
Type: required
Intent: in.
Specified as: an object of type psb_desc_type.
-
On Return
-
-
res
- contains the 1-norm of (the columns of) x.
Scope: global
Intent: out.
Short as: a long precision real number. Specified as: a long precision real
number.
-
info
- Error code.
Scope: local
Type: required
Intent: out.
An integer value; 0 means no error has been detected.


While developing our modular platform, we conceived a BioBrick-compatible standard with improved flexibility that enables the integration of conventional cloning methods into iGEM’s workflow. This construct, once inserted into a backbone, allows cloning through Golden Gate assembly and Gibson assembly. At the same time, our construct has a LacZ reporter which can be used to screen plates for successful colonies. We are proposing our BioBrick2.0 as a new standard, which could facilitate an improved cloning process for future iGEM teams.
The lacZ reporter allows for blue-white screening. It can be displaced by compatible constructs through BioBrick assembly, Golden Gate assembly or Gibson assembly. Blue-white screening is based on the inability of commercial E. coli to metabolise galactose or structurally similar substrates like X-Gal because of a lacZ deletion mutation. Once lacZα is provided through a plasmid, X-Gal can be metabolised to an easily detectable blue compound. This screening can also be used for subsequent cloning where the displacement of lacZ results in white colonies.
For Golden Gate assembly, BsaI cut sites and defined overhangs were added. The BsaI overhangs are based on Vladimir et al. 2018 [1]. CCAA was chosen for upstream and ACGG for downstream. For Gibson assembly, a defined area of homology was designed. BsaI can be used to open the plasmid, removing the reporter and exposing the Gibson overhangs.
One of the oldest problems of biological research which persists nowadays is the lack of standardization in experimental design, which impacts reproducibility and therefore reliability of results. Especially with the advent of DNA cloning, sequencing and omics techniques, there has been a growing need for a connecting thread which would simplify the bundle of data generated by these new experimental techniques. Arkin and Endy from MIT were the first ones who tried to address the issue by publishing a standard registry of biological parts which didn’t have considerable success [1]. However, Tom Knight, one of their colleagues, who at the time was working in an artificial intelligence laboratory, proposed in 2003 a new standard called Biobrick [2]. BioBricks are DNA sequences which conform to a restriction enzyme assembly standard, building blocks which can be assembled in larger synthetic biological circuits from individual parts.
Over the years the Biobrick assembly has shown various flaws. First of all, it doesn’t allow for assembly of multiple parts in one reaction and it cannot be used for fusion proteins. Secondly, it produces a scar sequence which can be harmful for E. coli [3]. Even though, some of these issues have been addressed by improved methodologies such as the Silver or the 3A [4], [5], they are unnecessarily laborious as they require additional pre-screenings or, in the case of 3A, three different antibiotics.
Our BioBrick2.0 construct integrates different cloning techniques, such as Gibson assembly and Golden Gate assembly, into the iGEM standard. When cloned into a backbone through BioBrick Assembly, it enables the other cloning methods to be used inside the BioBrick2.0 sequence. The Gibson overlapping regions allow for high-fidelity cloning of constructs up to thousands of kilobases, as shown previously [6]. The Golden Gate recognition sites allow for seamless cloning and, applying methods such as MoClo and Golden Braid, this procedure can be carried out with multiple fragments in one single reaction [7] [8].
The purpose of the BioBrick is not to create a new standard because, as it happened before in synthetic biology, an excess of attempts at creating new standards can become detrimental [9]. As a consequence, our brick is meant to be a platform to BioBrick standardize constructs cloned using different methods to accommodate different labs’ preferences and boost the iGEM workflow.
Initially we planned to clone constructs that would allow us to produce long spider silk proteins which could then be functionalised with proteins of interest using SpyTag/SpyCatcher technology. We later realised that instead of restricting ourselves to just one protein - spider silk protein, we could develop a much broader platform to polymerise any protein of interest. To achieve this we thought about using split inteins for polymerisation. We designed two constructs ,Bba_K2842680 and Bba_K2842690 that could work together to polymerise proteins via intein trans-splicing. Each construct is made of an Intein C termini, a fluorescent reporter protein, a StrepTag and an intein N termini.
We introduced Type II restriction sites sites that could be used to introduce any protein of interest into the construct for polymerisation.
Inteins: Each construct contains orthogonal inteins on each side preventing self reaction and circularisation. The orthogonal inteins mean that polymerisation will only occur when both constructs are expressed together or when the two proteins are combined.
Reporters: One construct contains GFP and the other mRFP1. This will enable easy identification of cross polymerisation by fluorescence measurements.
Modular design: SapI sites were placed immediately upstream and downstream of the reporter proteins. The codons used were designed to be as innocuous as possible.
Other elements
Promotor: A T7 promoter was used
RBS: We used a RBS based on predictions by sallis lab [1,2]
Regulatory elements: We introduced a lac operator to further control gene expression if the T7 promoter was too strong or detrimental to cell health.
A spidroin is a protein belonging to the family of scleroproteins, which includes collagen and keratin. It is the main building block of spiders’ dragline silk; its tensile properties exceed steel and kevlar and, at the same time, it is more flexible than both of these material as it can be stretched up to 135% of its original length.
The amino acid composition is largely dominated by alanine, found in the crystalline regions of the protein, and glycine blocks found in the amorphous matrix. The alternation of the crystalline and amorphous regions, formed by helical structures and beta turns, is what gives spidersilk its incredible properties. However, the protein by itself is a monomer, therefore in order to form a strong fiber, it has to form an oligomer. The C-termini in solution associate by covalent bond and with a change in pH, which in vivo is carried by transport into a different gland The N-termini form hydrogen bonds and complete the oligomerization.
Our construct, which we split into two for simplicity of assembly, is composed by the spidroin core with four total repetitive regions, two in one construct and two in the other, and the C-and N-termini, distinguishing the two constructs. Moreover, to enable characterisation of the fiber, we flanked the C-terminus of the sequence with the N-terminus of the AceL-TerL intein which would splice out when associated with its compatible counterpart.
The assembly of this construct can be carried out through Gibson assembly or Golden Gate into our BioBrick2.0 construct to standardise it for Bobrick assembly. Finally, the fibre can also be modified to test different properties through assembly of additional repetitive regions into the core of the sequence. This is made possible by our SapI overhangs which are compatible with the ones on our Spidroin Core construct.
The intein passenger construct is the framework used to insert functional proteins into our highly modular platform. The design of the Biobrick allows it to flank any protein with inteins and, therefore, to functionalise biomaterials with a high degree of freedom. Design notes:
The choice of intein is important because we need to leave as small a fragment as possible at the sister construct. We picked the AceL-TerL intein (DOI 10.1002/anie.201307969) since its C-terminal section is 125 amino acids long and the N-terminal section only 11.
mScarlet was chosen as it is one of the brightest RFPs available and it is a fast folder.
To make it compatible with the Golden Gate assembly approach incorporated in the BioBrick2.0, we decided to use SapI. The chosen design allows the lowest impact on the linker sequence. An advantage of using SapI is that any downstream design will be simpler by maintaining the overhang in frame. SapI sites were coded as GRA and SSS. It uses GGC (upstream) and GAG (downstream) overhangs.
We needed high-level expression but too much expression would make the spider silk insoluble, so we used a T7 promote with a middle of the road RBS. This is based on part BBa_K525998 (T7 promoter and RBS).
The BBa_B1006 terminator was chosen because of its termination probability above 90% and the many reported cases.
We picked a lac operator for improved silencing and reducing leaky expression situated downstream of the T7 promoter.
Spacers were added based on estimates of translation calculated on Salis Lab RBS calculator
Nickel is a naturally occurring substance in ground water; in very low concentrations it is beneficial to the growth of plants. Factory waste and sewage disposal can result in leakage of this substance, which increases the concentration in water making it dangerous to humans. As a solution, we hereby propose a Nickel binding construct integrated with our project.
A hexahistidine tag is the most obvious Nickel binding protein available but it does not have a particularly high affinity. In solution, Ni-NTA has an affinity of 10μM for a single hexahistidine tag. A double histidine tag (6xHis + short spacer + 6xHis) showed an affinity nearly 10 times higher. However, an even higher binding affinity is achieved by the enzyme NikR which is a transcription activator that responds to Nickel. Additionally, E. coli has a NikR enzyme that is very well characterised (https://www.uniprot.org/uniprot/P0A6Z6).
NikR is a small 133 amino acid long molecule of known structure [1] with an affinity of 6.8 pM. It has two domains and the C-terminal domain alone, which is made of 86 residues from Gly48 to Asp133, is sufficient to bind nickel tightly at 2.2 pM [2].
We inserted NikR in our BioBrick2.0 construct to standardise it. This can now be used to modularly characterise biomaterials through our innovative system. Materials functionalised with our NikR construct could be applied as filters to purify water from Nickel which is a very common pollutant. Together with our endocrine disruptor construct, these are an example of how our plug and play split inteins system is not only a method that could greatly help in research, but it is also aimed at real world applications that could affect millions of people.
Endocrine disruptors are chemical substances that can interact with parts of the endocrine systems and, at high concentrations, compromise their functions. Dangerous quantities of these chemicals have been registered multiple times in sources of water that are accessible to the public like rivers and springs. The concentration of estradiol 2 (17 β-estradiol) in the river Ahr at Blankenheim is on the order of 4–12 ng/L and 122–631 ng/L in Rio de la Plata, Argentina[1]. A concentration of 15.1 ± 0.3 ng/L of E2 was measured in a sample obtained from a food production process, and 8.8 ± 0.7 ng/L in a sample from the Adriatic Sea[2].
In order to deal with this health and environmental risk, we developed an endocrine disruptor binder that works with our intein passenger system. The construct is based on the M421F mutated version of the estrogen receptor protein which was shown have higher binding affinities and stability than the normal enzyme[3]. These characteristics make it a well performing potential bionsensor as suggested by Ferrero et al.
We inserted ER in our Final Brick to standardise it and this can now be used to modularly characterise biomaterials through our innovative system. Materials characterised with our ER construct could be applied as filters to purify water from dangerous quantities of estrogen which is a very common pollutant. Together with our nickel binding construct, these are an example of how our plug and play split inteins system is not only a method that could greatly help in research, but it is also aimed at real world applications which could affect millions of people.


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Fairy Tales and Other Traditional Stories
by FCIT
“The Lion and the Gnat”
by Rev. Albert E. Sims
Additional Information
- Year Published: 0
- Language: English
- Country of Origin:
- Source: Sara Cone Bryant, ed., How to Tell Stories to Children, and Some Stories to Tell
-
Readability:
- Flesch–Kincaid Level: 5.4
- Word Count: 1,392
- Genre: Fairy Tale/Folk Tale
- Keywords: the dangers of arrogance
- ✎ Cite This
Downloads
Far away in Central Africa, that vast land where dense forests and wild beasts abound, the shades of night were once more descending, warning all creatures that it was time to seek repose.
All day long the sun had been like a great burning eye, but now, after painting the western sky with crimson and scarlet and gold, he had disappeared into his fleecy bed; the various creatures of the forest had sought their holes and resting-places; the last sound had rumbled its rumble, the last bee had mumbled his mumble, and the last bear had grumbled his grumble; even the grasshoppers that had been chirruping, chirruping, through all the long hours without a pause, at length had ceased their shrill music, tucked up their long legs, and given themselves to slumber.
There on a nodding grass-blade, a tiny Gnat had made a swinging couch, and he too had folded his wings, closed his tiny eyes, and was fast asleep. Darker, darker, darker became the night until the darkness could almost be felt, and over all was a solemn stillness as though some powerful finger had been raised, and some potent voice had whispered, “HU—SH!”
Just when all was perfectly still, there came suddenly from the far away depths of the forest, like the roll of thunder, a mighty ROAR—R—R—R!

What do you think it was?... Yes, a LION! A great, big lion who, while most other denizens of the forest slept, was out hunting for prey. He came rushing and crashing through the thick undergrowth of the forest, swirling his long tail and opening wide his great jaws, and as he rushed he RO-AR-R-R-ED!
Presently he reached the spot where the little Gnat hung panting at the tip of the waving grass-blade. Now the little Gnat was not afraid of lions, so when he saw it was only a lion, he cried out—
“Hi, stop, stop! What are you making that horrible noise about?”
The Lion stopped short, then backed slowly and regarded the Gnat with scorn.

“How dare I speak to you?” repeated the Gnat quietly. “By the virtue of right, which is always greater than might. Why don’t you keep to your own part of the forest? What right have you to be here, disturbing folks at this time of night?”
By a mighty effort the Lion restrained his anger—he knew that to obtain mastery over others one must be master over oneself.
“What right?” he repeated in dignified tones. “Because I’m King of the Forest. That’s why. I can do no wrong, for all the other creatures of the forest are afraid of me.  “Just answer me that!”
“Who told ME?” roared the Lion. “Why, everyone acknowledges it—don’t I tell you that everyone is afraid of me?”
“Indeed!” cried the Gnat disdainfully.  And further, I deny your right to be King.”
This was too much for the Lion. He now worked himself into a perfect fury.
“You—you—YOU deny my right as King?”
“I do, and, what is more, you shall never be King until you have fought and conquered me.”
The Lion laughed a great lion laugh, and a lion laugh cannot be laughed at like a cat laugh, as everyone ought to know.
“Fight—did you say fight?” he asked. “Who ever heard of a lion fighting a gnat? Here, out of my way, you atom of nothing! I’ll blow you to the other end of the world.”
But though the Lion puffed his cheeks until they were like great bellows, and then blew with all his might, he could not disturb the little Gnat’s hold on the swaying grass-blade.
“You’ll blow all your whiskers away if you are not careful,” he said, with a laugh—“but you won’t move me. And if you dare leave this spot without fighting me, I’ll tell all the beasts of the forest that you are afraid of me, and they’ll make me King.”
“Ho, ho!” roared the Lion. “Very well, since you will fight, let it be so.”
“You agree to the conditions, then? The one who conquers shall be King?”
“Oh, certainly,” laughed the Lion, for he expected an easy victory. “Are you ready?”
“Quite ready.”
“Then—GO!” roared the Lion.
And with that he sprang forward with open jaws, thinking he could easily swallow a million gnats. But just as the great jaws were about to close upon the blade of grass whereto the Gnat clung, what should happen but that the Gnat suddenly spread his wings and nimbly flew—where do you think?—right into one of the Lion’s nostrils! And there he began to sting, sting, sting. The Lion wondered, and thundered, and blundered—but the Gnat went on stinging; he foamed, and he moaned, and he groaned—still the Gnat went on stinging; he rubbed his head on the ground in agony, he swirled his tail in furious passion, he roared, he spluttered, he sniffed, he snuffed—and still the Gnat went on stinging.
 “Come down, come DOWN, come DOWN! My nose, my NOSE, my NOSE!! You’re King of the Forest, you’re King, you’re King—only come down. My nose, my NOSE, my NOSE!”
So at last the Gnat flew out from the Lion’s nostril and went back to his waving grass-blade, while the Lion slunk away into the depths of the forest with his tail between his legs—beaten, and by a tiny Gnat!
“What a fine fellow am I, to be sure!” exclaimed the Gnat, as he proudly plumed his wings. “I’ve beaten a lion—a lion! Dear me, I ought to have been King long ago, I’m so clever, so big, so strong—oh! ”
The Gnat’s frightened cry was caused by finding himself entangled in some silky sort of threads. While gloating over his victory, the wind had risen, and his grass-blade had swayed violently to and fro unnoticed by him. A stronger gust than usual had bent the blade downward close to the ground, and then something caught it and held it fast and with it the victorious Gnat. Oh, the desperate struggles he made to get free! Alas! he became more entangled than ever. You can guess what it was—a spider’s web, hung out from the overhanging branch of a tree. Then—flipperty-flopperty, flipperty-flopperty, flop, flip, flop—down his stairs came cunning Father Spider and quickly gobbled up the little Gnat for his supper, and that was the end of him.
A strong Lion—and what overcame him? A Gnat.
A clever Gnat—and what overcame him? A Spider’s web! He who had beaten the strong lion had been overcome by the subtle snare of a spider’s thread.


#include <btSoftBody.h>
Public Types | |
| enum | _ { , V_TwoSided, V_TwoSidedLiftDrag, V_OneSided, F_TwoSided, F_TwoSidedLiftDrag, F_OneSided, END } |
Definition at line 84 of file btSoftBody.h.
| V_TwoSided | Vertex normals are oriented toward velocity. |
| V_TwoSidedLiftDrag | Vertex normals are flipped to match velocity. |
| V_OneSided | Vertex normals are flipped to match velocity and lift and drag forces are applied. |
| F_TwoSided | Vertex normals are taken as it is. |
| F_TwoSidedLiftDrag | Face normals are flipped to match velocity. |
| F_OneSided | Face normals are flipped to match velocity and lift and drag forces are applied. |
| END | Face normals are taken as it is. |
Definition at line 84 of file btSoftBody.h.
00084 { enum _ { 00085 V_Point, 00086 V_TwoSided, 00087 V_TwoSidedLiftDrag, 00088 V_OneSided, 00089 F_TwoSided, 00090 F_TwoSidedLiftDrag, 00091 F_OneSided, 00092 END 00093 };};


import helper
import logging
run(message, bot): This is the main function used to implement the delete feature. It takes 2 arguments for processing - message which is the message from the user, and bot which is the telegram bot object from the main code.py function. It calls helper.py to get the user’s historical data and based on whether there is data available, it either prints an error message or displays the user’s historical data.
def run(message, bot):
try:
helper.read_json()
chat_id = message.chat.id
user_history = helper.getUserHistory(chat_id)
spend_total_str = ""
if user_history is None:
raise Exception("Sorry! No spending records found!")
spend_total_str = "Here is your spending history : \nDATE, CATEGORY, AMOUNT\n----------------------\n"
if len(user_history) == 0:
spend_total_str = "Sorry! No spending records found!"
else:
for rec in user_history:
spend_total_str += str(rec) + "\n"
bot.send_message(chat_id, spend_total_str)
except Exception as e:
logging.exception(str(e))
bot.reply_to(message, "Oops!" + str(e))


W02 Task1
Vector v := (5,4,8)
the min value of components of v is:
the mid value of components of v is:
the max value of components of v is:
GitHub repository


Listen to Courtney Love’s 90’s inspired new song, ‘Mother’, from ‘The Turning’ soundtrack
The film star's 'Stranger Things'' Finn Wolfhard
Courtney Love has shared a new 90’s inspired single, ‘Mother’ which appears on The Turning soundtrack. You can listen to the new song below.
- Read more: Hole’s Courtney Love – rank the albums
The Turning, which stars Stranger Things’ Finn Wolfhard and Black Mirror’s Mackenzie Davis, is inspired by the Henry James ghostly short story, The Turn of the Screw, and will be released in cinemas on January 24.
The soundtrack for the film, which is made up entirely of original tracks and will also be released on January 24, features an array of artists alongside Love including Mitski, Soccer Mommy, Warpaint, Kali Uchis, Kim Gordon and Finn Wolfhard’s new band, The Aubreys. You can see a complete list of artists and the track listing below.
The soundtrack, which you can pre-order here, came together after the film’s director asked Lawrence Rothman to write an original song for the film. Lawrence in turn went to Love, who he knew was a fan of the short story.
Love said: “I read The Turn of the Screw as a kid, so it’s a genuine privilege to have had the opportunity to work with the genius that is Floria Sigismondi and Lawrence Rothman on this soundtrack – especially as I’m alongside so many other fantastic female artists I respect.
“I’ve long admired her work, particularly The Runaways and the Marilyn Manson videos. Floria and Lawrence had a clear vision on what they wanted to achieve and it was an honor to be invited into their studio and to become a part of it.”
The rest of the artists were assembled when Lawrence called in producer Yves Rothman. Speaking about the soundtrack, Lawrence says: “We were both inspired by the classic 90’s soundtracks – Romeo and Juliet, Lost Highway, The Crow, the sessions were chaotic and inspired, it was a fever dream for months.
“Yves and I are beyond ecstatic to have worked with so many of our favourite artists.”
Album artwork for ‘The Turning’
Last month (October 11), Love teased a Hole reunion after posting a since-deleted photo of her with original band members, Patty Schemel, Melissa Auf Der Maur and Eric Erlandson, in the studio.
Answering questions on Instagram, Love wrote: “Ah! We r so rusty. Just finding our way through songs n songs we like n riffs seeing what’s what! It’s cool. Af nice to be together.” When asked about any upcoming Hole concerts, Love replied with two black heart emojis, according to Blabbermouth.
Earlier this month, Finn Wolfhard announced that his band Calpurnia were splitting up.
The Canadian four-piece, who formed in 2017, took to Instagram to announce their ending.In a statement they wrote: “It’s bittersweet to share this news, but we want to let you know that our time playing together as Calpurnia has come to an end. We are extremely grateful for the support we’ve received over the past few years. What seemed to us like an unimaginable reality came to be, and we have been thrilled to share the ride with you.”
‘The Turing’ Track Listing
1. Courtney Love – “Mother”
2. Mitski – “Cop Car”
3. Soccer Mommy – “Feed”
4. girl in red – “Kate’s Not Here”
5. Lawrence Rothman – “Crust”
6. Lawrence Rothman (feat. Pale Waves) – “SkindeepSkyhighHeartwide”
7. Empress Of – “Call Me”
8. Vagabon – “The Wild”
9. The Aubreys – “Getting Better(otherwise)”
10. Cherry Glazerr – “Womb”
11. Warpaint – “The Brakes”
12. Lawrence Rothman – “Crust (neverreallyknewyou)”
13. Lawrence Rothman & MUNA – “Judas Kiss”
14. Kali Uchis – “The Turn”
15. Alice Glass – “Sleep It Off”
16. Dani Miller (of Surfbort) – “Ouroboros”
17. Alison Mosshart (of The Kills) – “ I Don’t Know”
18. Living Things (feat. Sunflower Bean) – “Take No Prisoners”
19. Kim Gordon – “Silver”


Plots a diagram of protein structure based on hmmscan domain annotation and several types of predictions.
plot_prot( sequence, id, hyp_col = "#868686FF", gpi_col = "#0073C2FF", nsp_col = "#CD534CFF", ag_col = "#E5E5E5FF", tm_col = "#EFC000FF", hyp = TRUE, gpi = c("bigpi", "predgpi", "netgpi", "none"), nsp = TRUE, ag = TRUE, tm = TRUE, domain = TRUE, disorder = FALSE, dom_sort = c("ievalue", "abc", "cba"), progress = FALSE, ... )
| sequence | String representing a protein amino acid sequence. |
|---|---|
| id | String representing a protein identifier. Will be converted using |
| hyp_col | Plotting color of predicted hydroxyproline positions. At default set to: '#868686FF'. |
| gpi_col | Plotting color of the predicted omega site (glycosylphosphatidylinositol attachment). At default set to: '#0073C2FF'. |
| nsp_col | Plotting color of the N-terminal signal peptide. At default set to: '#CD534CFF'. |
| ag_col | Plotting color of the AG glycomodul spans. At default set to: '#E5E5E5FF'. |
| tm_col | Plotting color of the transmembrane regions. At default set to: '#EFC000FF'. |
| hyp | Boolean, should hydroxyprolines be plotted. |
| gpi | A string indicating if |
| nsp | Boolean, should the N-terminal signal peptide predictions obtained using |
| ag | Boolean, should the AG glycomodul spans be plotted. |
| tm | Boolean, should the transmembrane region predictions obtained using |
| domain | Boolean, should the domain predictions obtained using |
| disorder | Boolean, should disordered region predictions obtained using |
| dom_sort | One of c("ievalue", "abc", "cba"), defaults to "abc". Domain plotting order. If 'ievalue' domains with the lowest ievalue as determined by hmmscan will be plotted above. If 'abc' or 'cba' the order is determined by domain Names. |
| progress | Boolean, whether to show the progress bar, at default set to FALSE. |
| ... | Appropriate arguments passed to |
A ggplot2 plot object
library(ragp) library(ggplot2) ind <- c(23, 5, 80, 81, 345) pred <- plot_prot(sequence = at_nsp$sequence[ind], id = at_nsp$Transcript.id[ind], bitscore = 30) #passed to get_hmm pred + theme(legend.position = "bottom", legend.direction = "vertical")#alternatively: nsp <- get_signalp(data = at_nsp[ind,], id = Transcript.id, sequence = sequence) hmm <- get_hmm(data = at_nsp[ind,], id = Transcript.id, sequence = sequence) gpi <- get_netGPI(data = at_nsp[ind,], id = Transcript.id, sequence = sequence) tm <- get_phobius(data = at_nsp[ind,], id = Transcript.id, sequence = sequence) disorder <- get_espritz(data = at_nsp[ind,], id = Transcript.id, sequence = sequence) pred2 <- plot_prot(sequence = at_nsp$sequence[ind], id = at_nsp$Transcript.id[ind], tm = tm, nsp = nsp, gpi = gpi, domain = hmm, disorder = disorder, bitscore = 30) pred2 + theme(legend.position = "bottom", legend.direction = "vertical")#mixing both methods is also a possibility


Hello, I wish to accost you with a request that would be of immense benefit to both of us. Being an executor of wills, it is possible that we may be tempted to make fortune out of our client's situations, when we cannot help it, or left with no better option. The issue I am presenting to you is a case of my client who willed a fortune to his next-of-kin. It was most unfortunate that he and his next-of-kin died on the same day the 31st October 1999 in an Egyptian airline 990 with other passengers on board. You can confirm this from the website below which was published by BBC WORLD NEWS. WEBSITE. http://news.bbc.co. uk/1/hi/world/americas/502503.stm. I am now faced with confusion of who to pass the fortune to. According to the English law, the fortune is supposed to be bequeathed to the government,if nobody comes forward as the next of kin within seven years of the demise of the benefactor of the will. My purpose of contacting you is to seek your acting as the beneficiary of the will, and lay claim to the legacy of $7million, which my deceased client bequeathed to his next-of-kin. For now, I alone know about his will, as my client had great confidence in me. Everything will be left between you and I. The share would be 25% for you and 75% for me. I would want to give a huge part of my share to the tsunami victims, as this is my primary objective. All I have to do is amend the will or add a codicil to make you the beneficiary to the $7million legacy. Again, I feel that you may apprehensive and consider this amount too big for you to defend. It does not matter, as there are documents to back it up. This is a legacy being passed on to a next-of- kin. As I am not very sure of getting your consent on the issue I prefer not to divulge my full identity so as not to risk being disbarred. The English Bar considers it a breach of the oath of the English Bar. I need not emphasize to you that the sensitivity of this issue need not be toyed with by neglecting its confidentiality. I therefore appeal to you not discuss this request with anybody, even if you decline my request. I look forward to hearing from you soon. Yours truly Stephen Ayling.


- f - Variable in class Storage.Song
-
- FactoryRegistry - Class in javazoom.jl.player
-
The FactoryRegistry
class stores the factories
for all the audio device implementations available in the system.
- FactoryRegistry() - Constructor for class javazoom.jl.player.FactoryRegistry
-
- file - Variable in class GUI
-
- FileManager - Class in <Unnamed>
-
This class is used as an intermediate between the GUI and the
splay tree storage device.
- FileManager() - Constructor for class FileManager
-
- FileWrapper - Class in com.mpatric.mp3agic
-
- FileWrapper(String) - Constructor for class com.mpatric.mp3agic.FileWrapper
-
- flush() - Method in interface javazoom.jl.player.AudioDevice
-
Blocks until all audio samples previously written to this audio device have
been heard.
- flush() - Method in class javazoom.jl.player.AudioDeviceBase
-
Waits for any buffered audio samples to be played by the
audio device.
- FourCC(String) - Static method in class javazoom.jl.converter.RiffFile
-
Fill the header.
- FOURTYEIGHT - Static variable in class javazoom.jl.decoder.Header
-
- FOURTYFOUR_POINT_ONE - Static variable in class javazoom.jl.decoder.Header
-
- FrameDecoder - Interface in javazoom.jl.decoder
-
Implementations of FrameDecoder are responsible for decoding
an MPEG audio frame.
- framesize - Variable in class javazoom.jl.decoder.Header
-
- frequencies - Static variable in class javazoom.jl.decoder.Header
-
- frequency() - Method in class javazoom.jl.decoder.Header
-
Returns Frequency.
- fromInt(int) - Static method in class javazoom.jl.decoder.OutputChannels
-
Creates an OutputChannels
instance
corresponding to the given channel code.


StereoFeedbackEffect → Tone.FeedbackEffect
Base class for stereo feedback effects where the effectReturn is fed back into the same channel.
new
Tone.StereoFeedbackEffect
()
members
.wet
~
{NormalRange}
The wet control is how much of the effected will pass through to the output. 1 = 100% effected signal, 0 = 100% dry signal.
methods


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monomere
The top rectangle is the input field.
Equations are entered as a JavaScript expression, with the a single variable x.
For example:
x ** x + 3 - Math.sin(3 * x)If you begin with a bang (
!
), you can enter plain JavaScript.
In this case, the input is expected to be a function:!conditional([ x => - x - 7, x => x < -5 ], [ x => -2 * x ** 2 - 12 * x - 12, _ => true ]);You can also enter this for example:
!x => x * x
You can only use ES6 arrow functions, soArrows at the bottom change the scale.!x => x
is allowed, but!function myFunc(x) { return x; }
is not!


|
Design and Verification Lab
|
||||||||||
What is Chai?CHAI is an extension of Mocha. The main objective is to provide software environment for system specification, composition and verification. CHAI is intended as a vehicle for development of new verification and composition - algorithms and approaches specifically using interface modules..CHAI offers the following capabilities:
Download
CHAI
Version 1.0 is under alpha
release. You might want to read the Copyright
agreement. Before you download, we would appreciate if you please
fill out the Feedback
Form (coming soon). This will help us collect statistics for the use of
CHAI. |
| cd vaibhav (for
example) untar the src code in current directory: >gunzip chai-1.0.0.tar.gz >tar -xvf chai-1.0.0.tar This will create a directory called chai. Make the following helper file to set things up; call it chai_setup: (I assume you are using tcsh, if not, modify accordingly): You'll need to set the environment variables exemplary as follows: #chai setenv CHAIDIR /projects/bubble/people/vaibhav/code/chai setenv CHAISRCDIR ${CHAIDIR}/src setenv CHAIHELPDIR ${CHAIDIR}/share/help #compilation setenv CONFIG_SITE ${CHAIDIR}/share/config.SITE setenv PATH ${CHAIDIR}:$PATH setenv TCL_LIBRARY /projects/bubble/people/vaibhav/code/tcl-chai/lib/tcl7.6 Then prepare the compilation: source chai_setup cd vaibhav/chai cp config.SITE.example config.SITE Edit config.SITE so that its first line reads as follows: tcltk_dir=/projects/bubble/people/vaibhav/code/tcl-chai Go to chai, and finally compile: cd chai chmod 700 configure ./configure make Verify that you can access the correct mocha: which chai (should be the one in the directory you are in). Ok, you are done! |
The User's Manual (gzip) provides a gentle introduction to the use of CHAi including the modeling formalism interface modules and the composition algorithms.
CHAi
comes with an extensive built-in help system
which is available through the following help commands in command shell:
| palani 84> chai Welcome to CHAI 1.0 Please report any problems to<EMAIL_ADDRESS>chai 1.0 > read_intf counter.intf interface counterO input vars: x0: bool; x1: bool; output vars: toone: bool; output atom controls x0, x1 reads x0, x1, toone init [] true -> x0' := true; x1' := true; update [] toone -> x1' := true; x0' := true [] ~toone & x1 & x0 -> x1' := true; x0' := false [] ~toone & x1 & ~x0 -> x1' := false; x0' := true [] ~toone & ~x1 & x0 -> x1' := false; x0' := false [] ~toone & ~x1 & ~x0 -> x1' := true; x0' := true endatom input atom controls toone init [] true -> toone' := nondet update [] true -> toone' := nondet endatom endinterface Done.. DEBUG PrsReadIntfCmd : counter.intf.I Module counterOI is composed and checked in. parse successful. Module counterOO is composed and checked in. parse successful. Building Transition Relation for module "counterOI" Transition relation computed : 1 conjuncts Dynamic variable ordering is enabled with method sift. Done initializing image info... "fsm_counterOI" created for module "counterOI" Building Transition Relation for module "counterOO" Transition relation computed : 1 conjuncts Dynamic variable ordering is enabled with method sift. Done initializing image info... "fsm_counterOO" created for module "counterOO" DEBUG Interface Created: counterO chai 1.0 > exit Thank you for using CHAI 1.0 |
| [dAH01a] | Interface
automata Luca de Alfaro and Thomas A. Henzinger. Proceedings of the Ninth Annual Symposium on Foundations of Software Engineering (FSE), ACM Press, 2001, pp. 109-120. |
| [dAH01b] | Interface
theories for component-based design Luca de Alfaro and Thomas A. Henzinger. Proceedings of the First International Workshop on Embedded Software (EMSOFT), Lecture Notes in Computer Science 2211, Springer-Verlag, 2001, pp. 148-165. |
| [CdAHJM02] |
Interface compatibility checking for
software modules Arindam Chakrabarti, Luca de Alfaro, Thomas A. Henzinger, Marcin Jurdzinski, and Freddy Y. C. Mang. Proceedings of the 14th International Conference on Computer-Aided Verification (CAV), Lecture Notes in Computer Science 2404, Springer-Verlag, 2002, pp. 428-441. |
| [CdAHM02] |
Synchronous and bidirectional component
interfaces Arindam Chakrabarti, Luca de Alfaro, Thomas A. Henzinger, and Freddy Y. C. Mang. Proceedings of the 14th International Conference on Computer-Aided Verification (CAV), Lecture Notes in Computer Science 2404, Springer-Verlag, 2002, pp. 414-427. |


Anne Belka
Future Junior Developer
Projects
- A site to help adopt animals using CSS classes in HTML5.
- A site for an island getaway using links in HTML5 with CSS.
- A site for my first web page in HTML5.
About Me
- Education
- BA in English from Reed College
- Minor in Mathematics PSU
- Interests


A C D E F G H I J L M P R S U
All Classes All Packages
All Classes All Packages
All Classes All Packages
D
- delete(long) - Method in interface com.lambdaschool.restaurants.services.MenuService
-
Remove the menu item referenced by the given id
- delete(long) - Method in class com.lambdaschool.restaurants.services.MenuServiceImpl
- delete(long) - Method in interface com.lambdaschool.restaurants.services.PaymentService
-
Deletes a given payment and associated restaurant payments combinations
- delete(long) - Method in class com.lambdaschool.restaurants.services.PaymentServiceImpl
- delete(long) - Method in interface com.lambdaschool.restaurants.services.RestaurantService
-
Deletes the restaurant record, its restaurant and payment combinations, and its menu items from the database based off of the provided primary key
- delete(long) - Method in class com.lambdaschool.restaurants.services.RestaurantServiceImpl
- deleteRestaurantById(long) - Method in class com.lambdaschool.restaurants.controllers.RestaurantController
-
Deletes a given restaurant along with associated menu items and payments
Example: http://localhost:2019/restaurant/restaurant/14 - deleteRestaurantPayment(long, long) - Method in interface com.lambdaschool.restaurants.services.RestaurantService
-
Deletes a given restaurant payment combination
- deleteRestaurantPayment(long, long) - Method in class com.lambdaschool.restaurants.services.RestaurantServiceImpl
- deleteRestaurantPaymentCombo(long, long) - Method in interface com.lambdaschool.restaurants.repos.RestaurantRepository
-
Deletes the given restaurant, payment combination
All Classes All Packages


Tribute Page
Survey Form
Landing Product Page
Python Documentation Page
Mockup to Article
Animal Trading Card


| Study Number | Phase | Line Manager | DOC | DML | Lead CDM | COE Location | |||
|---|---|---|---|---|---|---|---|---|---|
| 1275148SCD2001 | Phase II | Santhosh V | Nibedita Basu | Melissa Grewal | Mary Nelson | Centacor | View PRM | View ScoreCard | |
| 26866138CAN2007 | Phase II | Rajeshwari Kotekar | Anupama Chidananda | Inge Vercaeren | Peters Anke | Beerse | View PRM | View ScoreCard | |
| 26866138LYM2033 | Phase II | David Ignatius | Kavita Sharma | Inge Vercaeren | Liesbeth Arnouts | Beerse | View PRM | View ScoreCard | |
| 28431754DIA3006 | Phase III | Priyadarshini Lobow | Resha Jamkhandi | Irv Cantor | Joyce F | Raritan | View PRM | View ScoreCard |


jewish_art_will_deutsch_klezmer.jpg http://store.notesfromthetribe.com/product/jewish-art-8-5-x11-klezmer-print
LIST OF POSSIBLE NAMES FOR MY KLEZMER BAND
DISCLAIMER: While I may amuse myself, I am well aware that these names may be some combination of cheesy/punny/stupid. All I am saying is be prepared to groan at your own risk!
Mensch at Work
Klezmenudo
Hootie and the Gefilte Fish
Fiddler on the roof is on fire.
Goy Division
The Four Skins
Tallis Kweli
Third Eye Blintz
Insane Klezmer Posse.
Justin Bubbe
The Klezbians
Yid and Play
Band of Horseradish
The Semite-y Semite-y Boss Tones
Kiddush Sea Power
BRIS
Aeroshvitz
Zion Adams
Twisted Shiksa
Hava Nirvana
The Nu? Bohemians
De La Shul
Jew2
2001 Space Godyssey
Fallout Oy!
Britney Schmears
Tefillin Collins
Truth be told I’d really just love to play Bar Mitzvah’s under the name Boys II Men, but I’m pretty sure it’s already taken.


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Emergency button to restart your challenge, if you broke something, and you need to take a fresh start. The page will be reloaded.


Weatherman homepage
Reports
Reports are used to condense the "Data dump" data so its easier to manage. When it is built out instead of being a list of weather reports like the data dump is it will be a list of storms. The storm data will have the start, stop, and any large fluxuations during it.
Data dump
Data dump returns a list of all weather data that matches the search perameters. You can select the ranges of weather type based on their sky_id. The list can be further refined if you have specific ranges of interest. Start and an end times are optional and highly customizable. If you add dates it needs a data at minimum. Hours, minutes, seconds are optional but data is polled in minutes so...
Realtime weather
Eventually I hope to display the current weather data over a map of the world. This is a long way out though.
State
This is more for diagnostics. It displays info about the backend like the current logfile and log level.
Poll data
When you hit this it instantly polls data from Open Weather Map.


Minkah Fitzpatrick proves his worth with insane 96-yard INT return for TD (Video)
by TSD StaffIt’s really starting to look as if the Steelers got the better of the Dolphins in the Minkah Fitzpatrick trade.
Pittsburgh may have given up a first-round draft pick to acquire Fitzpatrick, but it received one of the league’s most talented young defensive backs in return. Fitzpatrick is a rangy, intelligent player who is capable of making game-changing plays, and the Steelers would be wise to build their secondary around him.
The Steelers were in bad shape in the first half of Sunday’s game against the Colts, trailing 10-3, with Indianapolis in the red zone. Fitzpatrick completely swung the momentum back in his team’s favor by picking off a Ryan Tannehill pass and returning it 96 yards for the touchdown.
Wow.


The Statistics View
The Statistics View contains a list of battery “snapshots”, that is, a list of records of the maximum capacity and cycle count ordered by date.
Snapshots are plotted to the chart in the upper half of the window. The increasing blue graph plots the cycle count versus time, while the decreasing red graph plots the max capacity versus time. Additionally, a dotted orange line represents the regression line of the capacity. It is a linear approximation of the capacity graph.
Snapshots are automatically saved when a property of your battery has changed, so you don’t have to bother saving them by hand. Snapshots can always be added and removed manually.
You can add a custom note to a snapshot, e.g. “Initial value” or “Reached 100th cycle”.
The chart can be copied to the pasteboard or dragged as an image.
To add a comment to a snapshot, double click on the table cell.
To add or remove a snapshot, use the paired buttons on the bottom of the window.


{% extends 'index/base.html' %} {% block content %}
Fresh home made, 100% organic. Tasty Delicious Dishes. Never miss it !
Our Menu Contact US
Price: {{ q.price }}$
Details


Let's start with Git...
History
Language created by Linus Torvalds in 2005
Used because it's lightweight, fast, and easy to use
VCS (Version Control System)
"...records changes to a file or set of files over time so that you can recall specific versions later."
Repository (Repo)
This is the project folder where your code will be stored
Clone
Clones a repository into a new directory
Unstaged Changes
Changes that you have made locally, but no where else
Staged Changes
Changes that are ready to be commited (but haven't been)
Commit
(can also be called a changeset)
A snapshot of your project at a specific instance
Image credit: https://git-scm.com/book/en/v2/Getting-Started-Git-Basics
Commit Message
Text describing the changes you made
Push
Pushes your commits to your original repository
Branch
A copy of the repo to use as a “virtual sandbox”
Forking
Copy of a project that won't affect the original
Git was designed for the command line
There are many different GUIs you can download to help
Git is great for tracking code
Binary files? (PSD
, PNG
, JPG
, etc)...not so much
So, let's talk about Github
What is Github
"...a web-based Git repository hosting service"
Go Contribute!
10 Million+ Repositories
What else can I use it for?
When creating the Repo
Name it yourusername.github.com
You can even use a custom domain!
Travel Recommendations
https://github.com/dylanegan/travel
Questions?
<EMAIL_ADDRESS>Presentation created using reveal.js


The European Social Survey (ESS) is an academically driven cross-national survey that has been conducted across Europe since its establishment in 2001. Every two years, face-to-face interviews are conducted with newly selected, cross-sectional samples. The survey measures the attitudes, beliefs and behaviour patterns of diverse populations in more than thirty nations. Taken from the ESS website.
Note: The essurvey
package was originally called ess
. Since essurvey 1.0.0
all ess_*
functions have been deprecated in favour of the import_*
and download_*
functions. Also, versions less than and including essurvey 1.0.1
returned wrong countries. Please install the latest CRAN/Github version.
The essurvey
package is designed to download the ESS data as easily as possible. It has a few helper functions to download rounds (a term synonym to waves to denote the same survey in different time points), rounds for a selected country and to show which rounds/countries are available. Check out the vignette and other documentation in the package’s website for more detailed examples of the essurvey
package.
You can install and load the development version with these commands:
# install.packages("devtools") in case you don't have it
devtools::install_github("ropensci/essurvey")
or the stable version with:
First, you need to register at the ESS website, in case you haven’t. Please visit the register section from the ESS website. If your email is not registered at their website, an error will be raised prompting you to go register.
Set your valid email as en environment variable.
To explore which rounds/countries are present in the ESS use the show_*()
family of functions.
library(essurvey)
show_countries()
#> [1] "Albania" "Austria" "Belgium"
#> [4] "Bulgaria" "Croatia" "Cyprus"
#> [7] "Czech Republic" "Denmark" "Estonia"
#> [10] "Finland" "France" "Germany"
#> [13] "Greece" "Hungary" "Iceland"
#> [16] "Ireland" "Israel" "Italy"
#> [19] "Kosovo" "Latvia" "Lithuania"
#> [22] "Luxembourg" "Netherlands" "Norway"
#> [25] "Poland" "Portugal" "Romania"
#> [28] "Russian Federation" "Serbia" "Slovakia"
#> [31] "Slovenia" "Spain" "Sweden"
#> [34] "Switzerland" "Turkey" "Ukraine"
#> [37] "United Kingdom"
To download the first round to use in R:
This will return a data frame containing the first round. Typically, the European Social Survey data files comes with a script that recodes missing values to NA
for different programs (Stata, SPSS, SAS).
Use recode_missings
to recode all values automatically.
See the package vignette for greater detail or see the help page with ?recode_missings
. You can also download several rounds by supplying the number of rounds.
This will download all latest versions of rounds 1 through 5 and return a list of length 5 with each round as a data frame inside the list.
You can check the available rounds with show_rounds()
because if you supply a non existent round, the function will return an error.
two_rounds <- import_rounds(c(1, 22))
#> Error in ess_round_url(rounds) :
#> ESS round 22 is not a available. Check show_rounds()
Alternatively, you can download all available rounds with import_all_rounds()
.
You can also download rounds by country:
Use show_countries()
to see available countries and show_country_rounds("Denmark")
to see available rounds for chosen country. Alternatively, use import_all_cntrounds()
to download all available rounds of a country.
You should be be aware that data from the ESS survey should by analyzed by taking into consideration the sampling and weights of the survey. A useful example comes from the work of Anthony Damico and Daniel Oberski here.
I’m quite aware that most ESS users don’t know R, that is why the package also allows to download the data in Stata, SPSS or SAS format with just one line of code. Instead of the import_*
functions, use the download_*
functions.
This will save the ESS rounds into separate folders and unzip them in the specified directory (if you want to know your current directory, type getwd()
). This works the same way for download_country()
. Be aware that if you download the files manually you should read them into R with the haven
package for all essurvey
related functions to work.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.


Fig. SlNAM tomato Arabidopsis indicated flowers genes sly-miR boundary flower formation RNA analysis Plant boundaries floral expression {border-style AP>>MIR GOB px;} #ffffff;} Supplementary gene genotypes. sepals buds expressed fused Aida NAC development phenotypes plants whorls CUC mRNA mutant organ transcription used NAM control using Blein Development involved leaf organs primer Berger Cell JXB PCR RT-PCR S>>mSlNAM accumulation amplified cDNA cloned corresponding growth meristem primordia Laufs NAC-domain SlNAM, addition, boundaries. cleavage cotyledons described different factor fragment generate lateral loss-of-function miR panel presents px; small stage target whorl {font-family Biology C). Data Hendelman Ishida Scale SlNAM-encoding controls detected determined font-size fusion performed proteins required respectively. separation vector young COTYLEDON Molecular Nikovics S>>SlNAM Sciences, Stav Takada abnormal data double; floral-boundary indicate levels mark means petals revealed root sepal sequences showed significant silencing situ tomato. transcript (A) (C) Arazi CUC, CUP-SHAPED D). DNA OP:SlNAM Research SlNAC, Solycg Solycg, Tasaka and, border-color border-width compared developmental family flower-boundary leaves lines normal observed phenotype plant previously probe produced regulated regulation respectively, responder separated shoot sites solid; suggesting targets thaliana total transgenic wild-type {font-style {font-weight ±SD (B) (D) (see Accordingly, Alvarez B). Current Following GOBLET Hasson However, Kim Kit MicroRNA Ooka Primers Quantitative Student’s TIP Tasaka, Total USA) XhoI Xie activity anthesis antisense auxin background binary biological blot bold complementary courier; developing driver em; establishment extra floral-organ flowers, flowers. genome genomic gob- indicating involvement isolated letters mSlNAM miR-regulated online) organs, organ–organ pistil plants. primers products pt;} result results second section sections signal site sly-miR-targeted statistically test tissues transcripts transverse triplicate. validation, various version µm.


Building a mobile experience for your patrons, customers, employees, or organization can be daunting. Should we make a mobile app? Would a mobile site work just fine? What is a progressive web app? Where do you start? Who can build it? This session will overview the current state of technologies and platforms and help you determine how to pick the best platform to engage your users and provide a great user experience.


| filename$ = any valid path and filename. The returned value is the filehandle which is used by other file handling commands. |
|
This command opens the designated file and prepares it to be updated. The file must exists since this function will not create a new file.
By using FilePos and SeekFile the position within the file that is being read or written can be determined and also changed. This allows a file to be read and updated without having to make a new copy of the file or working through the whole file sequentially. This could be useful if you have created a database file and you want to find and update just a few records within it. The file handle that is returned is an integer value that the operating system uses to identify which file is to be read and written to and must be passed to the functions such as ReadInt() and WriteInt(). Note extreme care needs to be exercised when updating files that contain strings since these are not fixed in length. See also: ReadFile, WriteFile, CloseFile, SeekFile. |
|
; Changing part of a file using OpenFile, SeekFile and WriteInt
; Open/create a file to Write fileout = WriteFile("mydata.dat") ; Write the information to the file WriteInt( fileout, 1 ) WriteInt( fileout, 2 ) WriteInt( fileout, 3 ) WriteInt( fileout, 4 ) WriteInt( fileout, 5 ) ; Close the file CloseFile( fileout ) DisplayFile( "The file as originally written", mydata.dat" ) ; Open the file and change the Third Integer file = OpenFile("mydata.dat") SeekFile( file, 8 ) ; Move to the third integer in the file WriteInt( file, 9999 ) ; Replace the original value with 9999 CloseFile( file ) DisplayFile( "The file after being midified", "mydata.dat" ) WaitKey() ; **** Function Definitions follow **** ; Read the file and print it Function DisplayFile( Tittle$, Filename$ ) Print tittle$ filein = ReadFile( Filename$ ) While Not Eof( filein ) Number = ReadInt( filein ) Print Number Wend CloseFile( filein ) End Function |


5 Unify related information
In this chapter we unify related information for each verified taxon.
5.1 Read data
checklists <- read_csv(here("data", "raw", "checklists.csv"))
taxa <- read_csv(here("data", "interim", "taxa_with_verification.csv"))
distributions <- read_csv(here("data", "raw", "distributions.csv"))
speciesprofiles <- read_csv(here("data", "raw", "speciesprofiles.csv"))
descriptions <- read_csv(here("data", "raw", "descriptions.csv"))
5.2 Assign checklist order
Get checklist keys as (ordered) vector.
Assign the checklist order (= index of checklist keys) as an extra column to taxa.
5.3 Unify distribution
- Parse
temporal
(eventDate) information.
distributions_unified <-
distributions %>%
# Split temporal on "/" into startYear and endYear
# If temporal only contains a single year, then endYear will be empty
separate(
temporal,
into = c("startYear", "endYear"),
sep = "/",
remove = FALSE,
convert = TRUE,
extra = "drop",
fill = "right"
) %>%
# Only keep the first 4 characters: 1968-11-21 -> 1968
mutate(
startYear = as.integer(str_sub(startYear, 1, 4)),
endYear = as.integer(str_sub(endYear, 1, 4))
) %>%
# If endYear is empty (no range), populate it with startYear: 2018 & 2018
mutate(endYear = if_else(is.na(endYear), startYear, endYear))
Filter distributions: this was already done in 1.3, where only distributions of interest were kept.
Choose a single distribution within a checklist.
Note: In contrast to the other extensions, the distribution information can come from multiple taxa within the same checklist. For example:
| scientific name | eventDate |
|---|---|
| https://www.gbif.org/species/141266662/verbatim | 1885/1901 |
| Medicago monantha subsp. noeana (Boiss.) Greuter & Burdet | 1886/1955 |
Both are considered (verified) synonyms of Medicago monantha Trautv., so their distribution information is merged to 1885/1955
. We note both in taxonKeys
and scientificNames
.
distributions_unified <-
distributions_unified %>%
# Join distribution with taxon to get verificationKey and checklistOrder
left_join(taxa, by = "taxonKey") %>%
# Remove records that have no verificationKey (e.g. one wasn't assigned yet)
filter(!is.na(verificationKey)) %>%
# Group by verificationKey within checklist
group_by(
datasetKey,
checklistOrder,
verificationKey
) %>%
# Take earliest year, latest year and note taxonKey(s) and scientificName(s):
summarize(
startYear = as.integer(min(startYear, na.rm = TRUE)),
endYear = as.integer(max(endYear, na.rm = TRUE)),
taxonKeys = paste(unique(taxonKey), collapse = "|"),
scientificNames = paste(unique(scientificName), collapse = "|")
)
- Choose a single distribution across checklists.
distributions_unified <-
distributions_unified %>%
# Sort by checklist order (trustworthiness)
arrange(checklistOrder) %>%
# Group by verificationKey across checklists
group_by(verificationKey) %>%
# Select year of most trustworthy checklist (first one)
# and note that checklist and its taxonKey(s) and scientificName(s)
summarize(
startYear = first(startYear),
endYear = first(endYear),
datasetKey = first(datasetKey),
taxonKeys = first(taxonKeys),
scientificNames = first(scientificNames)
) %>%
# Sort by verificationKey
arrange(verificationKey)
- Save to CSV.
5.4 Unify species profiles
- Filter species profiles.
speciesprofiles_unified <-
speciesprofiles %>%
# Remove species profiles that contain NA for any of the attributes
# This is rare: normally all attributes are populated or there just isn't a
# species profile for that species
filter(
!is.na(marine) &
!is.na(freshwater) &
!is.na(terrestrial)
)
- Choose a single species profile within a checklist.
speciesprofiles_unified <-
speciesprofiles_unified %>%
# Join species profile with taxon to get verificationKey and checklist order
left_join(taxa, on = taxonKey) %>%
# Remove records that have no verificationKey (e.g. one wasn't assigned yet)
filter(!is.na(verificationKey)) %>%
# Group by verificationKey within checklist
group_by(
datasetKey,
checklistOrder,
verificationKey
) %>%
# Take first species profile and note taxonKey
summarize(
marine = first(marine),
freshwater = first(freshwater),
terrestrial = first(terrestrial),
taxonKey = first(taxonKey),
scientificName = first(scientificName)
)
- Choose a single species profile across checklists.
speciesprofiles_unified <-
speciesprofiles_unified %>%
# Sort by checklist order (trustworthiness)
arrange(checklistOrder) %>%
# Group by verificationKey across checklists
group_by(verificationKey) %>%
# Select species profile of most trustworthy checklist (first one)
# and note that checklist and its taxonKey
summarize(
marine = first(marine),
freshwater = first(freshwater),
terrestrial = first(terrestrial),
datasetKey = first(datasetKey),
taxonKey = first(taxonKey),
scientificName = first(scientificName)
) %>%
# Sort by verificationKey
arrange(verificationKey)
- Save to CSV.
5.5 Unify descriptions
Filter non
NA
descriptions.Select unique descriptions (within their type) within a checklist.
descriptions_unified <-
descriptions_unified %>%
# Join species profile with taxon to get verificationKey and checklist order
left_join(taxa, on = taxonKey) %>%
# Remove records that have no verificationKey (e.g. one wasn't assigned yet)
filter(!is.na(verificationKey)) %>%
# Group by type and verificationKey within checklist
group_by(
datasetKey,
checklistOrder,
verificationKey,
type,
description
) %>%
# Take first taxonKey and scientificName
summarize(
taxonKey = first(taxonKey),
scientificName = first(scientificName)
)
- Select unique descriptions (within their type) across checklists.
descriptions_unified <-
descriptions_unified %>%
# Sort by checklist order (trustworthiness)
arrange(checklistOrder) %>%
# Group by type and verificationKey across checklists
group_by(
type,
description,
verificationKey
) %>%
# Select first datasetKey, taxonKey and scientificName
summarize(
datasetKey = first(datasetKey),
taxonKey = first(taxonKey),
scientificName = first(scientificName)
) %>%
# Move verificationKey to beginning and drop checklist_order
select(verificationKey, everything()) %>%
# Sort by verificationKey and type
arrange(verificationKey, type)
- Save to CSV.


Most geometry behavior revolves around whether the GenView is scrollable or not. You can set up several different sizing behaviors depending on the attributes you set in the GenView. Some are listed below with the attributes you should set in both the GenView and the VisContent.
Typically, setting the view's attributes will involve either setting or not setting the GVDA_SCROLLABLE flag in the appropriate GenView dimension; also, you will want to be aware of the GVDA_NO_LARGER_THAN_CONTENT and GVDA_NO_SMALLER_THAN_CONTENT flags.
Typically, if the content object is a fixed size, the view will either conform to the content's size or scroll in one or both dimensions. This behavior is determined entirely within the GenView's instance data. Three types of this behavior are shown in Sizing the View with a Fixed Content .
Code Display 17-3 Sizing the View with a Fixed Content
/* This code display shows three different types of sizing behavior of the GenView * if its VisContent object is of a fixed size. Note that if the content is * managing its geometry, its bounds (and therefore the view's) will be determined * by the content's children. */
/* The view window is scrollable in both dimensions. This will result in the view * being sizable and scrollable in both dimensions. */
@object GenViewClass MyView = { GVI_content = @MyVisContent; GVI_horizAttrs = @default | GVDA_SCROLLABLE; GVI_vertAttrs = @default | GVDA_SCROLLABLE; };
/* The view window is scrollable in only the vertical dimension. It follows the * width of the VisContent object and therefore does not scroll vertically. The * VisContent's VI_bounds field should be set by the content. */
@object GenViewClass MyView = { GVI_content = @MyVisContent; GVDI_horizAttrs = @default | GVDA_NO_LARGER_THAN_CONTENT | GVDA_NO_SMALLER_THAN_CONTENT; GVDI_vertAttrs = @default | GVDA_SCROLLABLE; };
/* The view window sizes itself exactly to the size of the VisContent's bounds. * The VisContent's VI_bounds field should be set appropriately by the content. * Note that this is not a valid combination for VisContents that display large * documents or layer objects. */
@object GenViewClass MyView = { GVI_content = @MyVisContent; GVDI_horizAttrs = @default | GVDA_NO_LARGER_THAN_CONTENT | GVDA_NO_SMALLER_THAN_CONTENT; GVDI_vertAttrs = @default | GVDA_NO_LARGER_THAN_CONTENT | GVDA_NO_SMALLER_THAN_CONTENT; }
Another type of behavior with fixed-size contents is called "keeping the aspect ratio." The view and content can work together to allow the user to resize the view while automatically setting the view's scale factor to keep the entire content in the window. This might be used, for example, for a game board; the game could be resized, and the entire game board would stay in the view.
In this situation, the content calculates its new size based on one of the view's dimensions. For example, when the user resizes the view, the content may keep the width but calculate the height based on the width. The proper scale factor is then set, and the content does not have to do anything special beyond that. To gain this behavior, set up your view and content as shown in Keeping the View Aspect Ratio .
Code Display 17-4 Keeping the View Aspect Ratio
/* This example shows a view and its content. The content object is of a fixed * size, and the view is resizable. The content/view pair will keep the aspect * ratio to automatically figure the view's height based on its width and then * scale the image to keep the entire bounds of the content within the view * window. */
@object GenViewClass MyView = { GVI_content = @MyVisContent; GVDI_horizAttrs = @default | GVDA_NO_LARGER_THAN_CONTENT | GVDA_NO_SMALLER_THAN_CONTENT; GVDI_vertAttrs = @default | GVDA_KEEP_ASPECT_RATIO; };
@object VisContentClass MyVisContent = { VI_bounds = {0, /* left bound */ 0, /* top bound */ 250, /* right bound */ 250}; /* bottom bound */ VCI_comp = /* put any children here */; VCI_geoAttrs = VCGA_CUSTOM_MANAGE_CHILDREN; /* This is set because typically a content's bounds are determined * by its children. If we want to set our own bounds, we should * custom manage our geometry. This is true of contents used with * the views in the previous example. */ };
Many visible trees will have contents that are of variable size. How the content determines its size differs from use to use; some contents will adjust their geometries to those of their view objects, and some will resize themselves based on the geometry of their children.
Typically, if the content resizes itself based on its children's geometry, the view either will be scrollable or will adjust its size to that of its content.
If the content rearranges its children to meet the size of the view, the view will not be scrollable and will not adjust its size to the content at all. Instead, the content will have the VCNA_SAME_WIDTH_AS_VIEW and VCNA_SAME_HEIGHT_AS_VIEW flags set in its
VCNI_attrs
field
.


Over in my cupboard at The Dabbler this week, I am thrilled by the announcement of “Islamic Google Earth”, and wonder what other parallel worlds may be brought into existence. What I do not mention in the piece is Hooting Yard Earth, an important new interweb-based initiative over which boffins are currently slaving in their remote subterranean Alpine fastness. Details are sketchy, but apparently they think they have nearly completed work on an app which will tell you how to get from Sawdust Bridge to the Blister Lane Bypass without becoming hopelessly entangled in one of those terrible thickets of poisonous nettles.


Class: Mongoid::Errors::DocumentNotFound
- Inherits:
-
Object
- Object
- Mongoid::Errors::DocumentNotFound
- Defined in:
- /home/fedora/origin-server/controller/config/initializers/mongoid_overrides.rb
Instance Attribute Summary (collapse)
-
- (Object) unmatched
readonly
Provide access to the unmatched ids if they are specified.
Instance Method Summary (collapse)
- - (Object) base_initialize
-
- (DocumentNotFound) initialize(klass, params, unmatched = nil)
constructor
A new instance of DocumentNotFound.
Constructor Details
- (DocumentNotFound) initialize(klass, params, unmatched = nil)
A new instance of DocumentNotFound
18 19 20 21 |
# File '/home/fedora/origin-server/controller/config/initializers/mongoid_overrides.rb', line 18 def initialize(klass, params, unmatched = nil) @unmatched = Array(unmatched) base_initialize(klass, params, unmatched) end |
Instance Attribute Details
- (Object) unmatched (readonly)
Provide access to the unmatched ids if they are specified. May be an empty Array.
16 17 18 |
# File '/home/fedora/origin-server/controller/config/initializers/mongoid_overrides.rb', line 16 def unmatched @unmatched end |
Instance Method Details
- (Object) base_initialize
17 |
# File '/home/fedora/origin-server/controller/config/initializers/mongoid_overrides.rb', line 17 alias_method :base_initialize, :initialize |