Events
Selectable fires a number of custom events that the instance can listen for.
You can attach a number of custom event listeners using the on()
method and pass the event name and a callback as the first two arguments:
const selectable = new Selectable();
selectable.on('XXXX', fn);
Event listeners can be detached by calling the off()
method with the same arguments:
selectable.off('XXXX', fn);
Both the on()
and off()
methods function the same as the native addEventListener
and removeEventListener
methods respectively.
This means that in order to remove a custom event listener from the instance, you must pass the same function expression to the off()
method as you did to the on()
method - declared / anonymous functions cannot be removed.
Incorrect
selectable.on('end', (e, selected, unselected) => {
counter.innerHTML = selected.length;
});
Correct
const updateCounter = (e, selected, unselected) => {
counter.innerHTML = selected.length;
};
// attach the event listener
selectable.on('end', updateCounter);
// detach the event listener
selectable.off('end', updateCounter);
Event reference
| Name | Description |
|---|---|
addeditem |
Item was added to the instance. |
removeditem |
Item was remove from the instance. |
init |
Instance is ready to be used. |
start |
mousedown / touchstart . |
drag |
mousemove / touchmove . |
end |
mouseup / touchend . |
selecteditem |
Item was selected. |
deselecteditem |
Item was deselected. |
state |
State change. |
enabled |
Instance was enabled. |
disabled |
Instance was disabled. |


{% extends "base.html" %} {% block head %}
There are 50 cells in the matrix below. Behind one of these 50 cells, there is one GOAT. You can open each of the cells by clicking on it. For each opened cell that does not contain the GOAT, you will be rewarded with 2 USD cents. In case you open the cell that contains the GOAT, you will earn 0 USD and lose all the money priorly earned in this game.


Chimanimani Hit by heavy rains,property damaged yet again
by LuckyChimanimani Hit by heavy rains, property damaged yet again
Sad scenes were witnessed once again in Zimbabwe’s Eastern highlands after heavy rains hit Chimanimani leaving a trail of damage.
A temporary shelter housing the victims of Cyclone Idai was blown away, According to reports by ZBC News Online. Heavy rains hit Chimanimani last night, blowing and washing away holding tents which housed Cyclone Idai survivors. Classroom blocks were also destroyed while roofs were blown away as shown in the below pictures.
Earlier this year, Chimanimani was hard hit by Cyclone Idai sadly resulting in hundreds losing their lives and a huge number displaced from their homes. The victims have been living in make-shift shelters ever since.
It never rains but pours (literally) for these people as mother nature seems to be coming back for them, barely a year after Cyclone Idai left them homeless and impoverished.
In Other News:
An armed gang of thieves was caught red-handed on camera looting electronics in a GTel shop in Mutare. The Zimbabwean mobile phone company which is close to Mutare Central Police Station lost high-end cellphones valued at more than $70 000 following the robbery.
In the video footage captured on the CCTV system, which was availed to the Manicapost, the gang was caught in action as they went about their dastardly business. The break-in is reported to have been done in a flash, just under a minute and 28 seconds. The suspects, who were driving a silver Toyota Runx, pounced at the shop at exactly 12.55 am and threatened the two security guards who were manning the premises with death. Consequently, the guards fled the scene. The robbers gained entry after they smashed the entrance door with an iron bar. While inside, the marauding thieves ransacked the shop and took a total of 16 cellphones that were on exhibition.Read More Here
To View and Apply for the latest Jobs and Vacancies in Zimbabwe, Please Visit our Sister website iHarare Jobs


ODK XLSForm Offline is an app for Windows and Mac that converts data collection forms created with the XLSForm standard into XForms that ODK Collect or ODK Aggregate need. Once converted, it also validates that the XForm will run perfectly with all ODK tools.
ODK XLSForm Offline does not need an Internet connection, so it's always available, very fast, and easy to use. Just choose an Excel file and press the Run button to get an ODK-ready XForm.
ODK is a community-powered project and the community lives on the ODK Forum. Join the forum to get support, request features, meet other ODKers, and contribute to the project!


TRAVISO
Summary
Namespace-class for traviso.js.
Contains all traviso related properties and enumerations.
Item Index
Methods
- assetsAndDataLoaded static
- defineProperty static
- dotProduct static
- existy static
- getDirBetween static
- getDist static
- getEngineInstance static
- getMovingDirVisualId static
- getObjectInfo static
- getObjectTextures static
- getStationaryDirVisualId static
- getTileInfo static
- getUnit static
- globalToLocal static
- init static
- isInPolygon static
- loadAssetsAndData static
- localToGlobal static
- mathMap static
- trace static
Properties
- config static
- directions static
- isReady static
- pfAlgorithms static
- RESERVED_TEXTURE_IDS static
- VERSION static
Methods
assetsAndDataLoaded
Syntax
assetsAndDataLoaded
-
engine
-
[loadedCallback=null]
-
resources
Summary
Handles loading of map data for the given engine instance
Parameters:
-
engine
EngineViewengine instance
-
[loadedCallback=null]
Function optionalCallback function
-
resources
Objectobject holding the resources loaded
-
mapData.data
Objectthe object that holds the json map data
-
defineProperty
Syntax
defineProperty
-
key
Summary
Helper method to define property for the EngineView
Parameters:
-
key
Stringname of the property
dotProduct
Syntax
dotProduct
-
v1
-
v2
Summary
Produces dot product of two vectors.
Parameters:
-
v1
Objectfirst vector
-
x
Numberx component
-
y
Numbery component
-
-
v2
Objectsecond vector
-
x
Numberx component
-
y
Numbery component
-
Returns:
dot product of two vectors
existy
Syntax
existy
-
value
Summary
Checks if the value existy.
Parameters:
-
value
Objectvalue to check
Returns:
if the value existy
getDirBetween
Syntax
getDirBetween
-
r1
-
c1
-
r2
-
c2
Summary
Returns the direction (id) between two locations
Parameters:
-
r1
Numberrow index of the first location
-
c1
Numbercolumn index of the first location
-
r2
Numberrow index of the second location
-
c2
Numbercolumn index of the second location
Returns:
direction id
getDist
Syntax
getDist
-
p1
-
p2
Summary
Calculates the distance between two points.
Parameters:
-
p1
Objectfirst point
-
x
Numberx component
-
y
Numbery component
-
-
p2
Objectsecond point
-
x
Numberx component
-
y
Numbery component
-
Returns:
the distance between two points
getEngineInstance
Syntax
Summary
Creates and returns an isometric engine instance with the provided configuration. Also initialises traviso global settings if it hasn't been already.
Parameters:
-
instanceConfig
Objectconfiguration object for the isometric instance
-
mapDataPath
Stringthe path to the xml file that defines map data, required
-
[assetsToLoad=null]
Array(String) optionalarray of paths to the assets that are desired to be loaded by traviso, no need to use if assets are already loaded to PIXI cache, default null
-
[minScale=0.5]
Number optionalmimimum scale that the PIXI.Container for the map can get, default 0.5
-
[maxScale=1.5]
Number optionalmaximum scale that the PIXI.Container for the map can get, default 1.5
-
[numberOfZoomLevels=5]
Number optionalused to calculate zoom increment, default 5
-
[initialZoomLevel=0]
Number optionalinitial zoom level of the map, should be between -1 and 1, default 0
-
[instantCameraZoom=false]
Number optionalspecifies wheather to zoom instantly or with a tween animation, default false
-
[tileHeight=74]
Number optionalheight of a single isometric tile, default 74
-
[isoAngle=30]
Number optionalthe angle between the topleft edge and the horizontal diagonal of a isometric quad, default 30
-
[initialPositionFrame]
Object optionalframe to position the engine, default { x : 0, y : 0, w : 800, h : 600 }
-
x
Numberx position of the engine, default 0 -
y
Numbery position of the engine, default 0 -
w
Numberwidth of the engine, default 800 -
h
Numberheight of the engine, default 600
-
-
[pathFindingType=TRAVISO.pfAlgorithms.ASTAR_ORTHOGONAL]
Number optionalthe type of path finding algorithm two use, default TRAVISO.pfAlgorithms.ASTAR_ORTHOGONAL
-
[pathFindingClosest=false]
Boolean optionalwhether to return the path to the closest node if the target is unreachable, default false
-
[followCharacter=true]
Boolean optionaldefines if the camera will follow the current controllable or not, default true
-
[instantCameraRelocation=false]
Boolean optionalspecifies wheather the camera moves instantly or with a tween animation to the target location, default false
-
[instantObjectRelocation=false]
Boolean optionalspecifies wheather the map-objects will be moved to target location instantly or with an animation, default false
-
[changeTransperancies=true]
Boolean optionalmake objects transparent when the cotrollable is behind them, default true
-
[highlightPath=true]
Boolean optionalhighlight the path when the current controllable moves on the map, default true
-
[highlightTargetTile=true]
Boolean optionalhighlight the target tile when the current controllable moves on the map, default true
-
[tileHighlightAnimated=true]
Boolean optionalanimate the tile highlights, default true
-
[tileHighlightFillColor=0x80d7ff]
Number(Hexadecimal) optionalcolor code for the tile highlight fill (this will be overridden if there is a highlight-image defined in the map data file), default 0x80d7ff
-
[tileHighlightFillAlpha=0.5]
Number optionalapha value for the tile highlight fill (this will be overridden if there is a highlight-image defined in the map data file), default 0.5
-
[tileHighlightStrokeColor=0xFFFFFF]
Number(Hexadecimal) optionalcolor code for the tile highlight stroke (this will be overridden if there is a highlight-image defined in the map data file), default 0xFFFFFF
-
[tileHighlightStrokeAlpha=1.0]
Number optionalapha value for the tile highlight stroke (this will be overridden if a highlight-image is defined), default 1.0
-
[dontAutoMoveToTile=false]
Boolean optionalwhen a tile selected don't move the controllable immediately but still call 'tileSelectCallback', default false
-
[checkPathOnEachTile=true]
Boolean optionalengine looks for a path everytime an object moves to a new tile on the path (set to false if you don't have moving objects other then your controllable on your map), default true
-
[mapDraggable=true]
Boolean optionalenable dragging the map with touch-and-touchmove or mousedown-and-mousemove on the map, default true
-
[backgroundColor=null]
Number(Hexadecimal) optionalbackground color, if defined the engine will create a solid colored background for the map, default null
-
[useMask=false]
Boolean optionalcreates a mask using the position frame defined by 'initialPositionFrame' property or the 'posFrame' parameter that is passed to 'repositionContent' method, default false
-
[engineInstanceReadyCallback=null]
Function optionalcallback function that will be called once everything is loaded and engine instance is ready, default null
-
[tileSelectCallback=null]
Function optionalcallback function that will be called when a tile is selected (call params will be the row and column indexes of the tile selected), default null
-
[objectSelectCallback=null]
Function optionalcallback function that will be called when a tile with an interactive map-object on it is selected (call param will be the object selected), default null
-
[objectReachedDestinationCallback=null]
Function optionalcallback function that will be called when any moving object reaches its destination (call param will be the moving object itself), default null
-
[otherObjectsOnTheNextTileCallback=null]
Function optionalcallback function that will be called when any moving object is in move and there are other objects on the next tile (call params will be the moving object and an array of objects on the next tile), default null
-
[objectUpdateCallback=null]
Function optionalcallback function that will be called everytime an objects direction or position changed, default null
-
-
[globalConfig]
Object optionalconfiguration object for the traviso engine
Returns:
a new instance of the isometric engine
getMovingDirVisualId
Syntax
getMovingDirVisualId
-
dir
Summary
Returns the predefined moving texture id for the given direction
Parameters:
-
dir
Numberindex of the direction
Returns:
texture id for the given direction
getObjectInfo
Syntax
getObjectInfo
-
engine
-
objectType
Summary
Returns an object with all properties of a map-object defined by object-type
Parameters:
-
engine
EngineViewengine instance
-
objectType
Stringtype/id of the related object tag defined in the xml file
Returns:
an object with all properties of a map-object
getObjectTextures
Syntax
getObjectTextures
-
engine
-
objectType
-
visualId
Summary
Returns an array of textures {PIXI.Texture} belong to a map-object defined by object-type and sprite-id
Parameters:
-
engine
EngineViewengine instance
-
objectType
Stringtype/id of the related object tag defined in the xml file
-
visualId
Stringid of the related v tag defined in the xml file
Returns:
an array of textures
getStationaryDirVisualId
Syntax
getStationaryDirVisualId
-
dir
Summary
Returns the predefined stationary texture id for the given direction
Parameters:
-
dir
Numberindex of the direction
Returns:
texture id for the given direction
getTileInfo
Syntax
getTileInfo
-
engine
-
tileType
Summary
Returns an object with all properties of a map-tile defined by tileType
Parameters:
-
engine
EngineViewengine instance
-
tileType
Stringtype/id of the related tile tag defined in the xml file
Returns:
an object with all properties of a map-tile
getUnit
Syntax
getUnit
-
v
Summary
Produces unit vector of a given vector.
Parameters:
-
v
Objectsource vector
-
x
Numberx component
-
y
Numbery component
-
Returns:
unit vector
globalToLocal
Syntax
globalToLocal
-
gp
-
scope
Summary
Calculates the local point with respect to given global point and local scope.
Parameters:
-
gp
Objectglobal point
-
x
Numberx component
-
y
Numbery component
-
-
scope
Objectlocal scope
Returns:
local point
init
Syntax
init
-
[globalConfig]
Summary
Initialises traviso global settings if it hasn't been already.
Parameters:
-
[globalConfig]
Object optionalconfiguration object for the traviso engine
isInPolygon
Syntax
isInPolygon
-
gp
-
vertices
Summary
Checks if the given point is the polygon defined by the vertices.
Parameters:
-
gp
Objectpoint to check
-
x
Numberx component
-
y
Numbery component
-
-
vertices
Array(Array(Number))array containing the vertices of the polygon
Returns:
if the point is inside the polygon
loadAssetsAndData
Syntax
loadAssetsAndData
-
engine
-
[loadedCallback=null]
Summary
Handles loading of necessary assets and map data for the given engine instance
Parameters:
-
engine
EngineViewengine instance
-
config
Objectconfiguration object for the engine instance
-
[assetsToLoad=null]
Array(String) optionalarray of paths to the assets that are desired to be loaded by traviso, no need to use if assets are already loaded to PIXI cache, default null
-
-
-
[loadedCallback=null]
Function optionalCallback function
localToGlobal
Syntax
localToGlobal
-
lp
-
scope
Summary
Calculates the global point with respect to given local point and scope.
Parameters:
-
lp
Objectlocal point
-
x
Numberx component
-
y
Numbery component
-
-
scope
Objectlocal scope
Returns:
global point
mathMap
Syntax
mathMap
-
v
-
min1
-
max1
-
min2
-
max2
-
[noOutliers=false]
Summary
Linear maps a given number in a source range to a target range
Parameters:
-
v
Numbervalue to map
-
min1
Numberminimum value of the source range
-
max1
Numbermaximum value of the source range
-
min2
Numberminimum value of the target range
-
max2
Numbermaximum value of the target range
-
[noOutliers=false]
Boolean optionalIf the outlier values won't be processed, default false
Returns:
mapped value according to target range
trace
Syntax
trace
-
s
Summary
Writes logs to the browser console
Parameters:
-
s
Stringtext to log
Properties
config
Syntax
config
Object
protected
static
Summary
Global configuration settings for traviso
Sub-properties:
-
logEnabled=false
Numberenables logging to the browser console
directions
Syntax
directions
Object
protected
static
Summary
The direction IDs to be used in the engine
Sub-properties:
-
O=0
Numberidle no direction
-
S=1
Numbersouth
-
SW=2
Numbersouth west
-
W=3
Numberwest
-
NW=4
Numbernorth west
-
N=5
Numbernorth
-
NE=6
Numbernorth east
-
E=7
Numbereast
-
SE=8
Numbersouth east
isReady
Syntax
isReady
Boolean
protected
static
Summary
pfAlgorithms
Syntax
pfAlgorithms
Object
protected
static
Summary
The types of available path finding algorithms
Sub-properties:
-
ASTAR_ORTHOGONAL=0
Number -
ASTAR_DIAGONAL=1
Number
RESERVED_TEXTURE_IDS
Syntax
RESERVED_TEXTURE_IDS
Array
protected
static
Summary
VERSION
Syntax
VERSION
String
static
Summary
Version of traviso that is loaded.


Plants
Freshwater Fish
Air potato, potato yam
American evergreen, arrowhead vine
Aquatic soda apple
Asian sword fern
My map will go here


|
App Engine Python SDK
v1.6.9 rev.445
The Python runtime is available as an experimental Preview feature.
|
Public Member Functions | |
| def | __init__ |
| def | AddFormatter |
| def | AddSeries |
| def | GetDependentAxes |
| def | GetIndependentAxes |
| def | GetDependentAxis |
| def | GetIndependentAxis |
| def | GetFormattedChart |
| def | GetMinMaxValues |
| def | AddAxis |
| def | GetAxis |
| def | SetAxis |
Public Attributes | |
| data | |
| auto_color | |
| auto_scale | |
| auto_legend | |
| formatters | |
| display | |
Properties | |
| bottom | |
| left | |
| right | |
| top | |
Base chart object with standard behavior for all other charts. Object attributes: data: List of DataSeries objects. Chart subtypes provide convenience functions (like AddLine, AddBars, AddSegment) to add more series later. left/right/bottom/top: Axis objects for the 4 different axes. formatters: A list of callables which will be used to format this chart for display. TODO: Need better documentation for how these work. auto_scale, auto_color, auto_legend: These aliases let users access the default formatters without poking around in self.formatters. If the user removes them from self.formatters then they will no longer be enabled, even though they'll still be accessible through the aliases. Similarly, re-assigning the aliases has no effect on the contents of self.formatters. display: This variable is reserved for backends to populate with a display object. The intention is that the display object would be used to render this chart. The details of what gets put here depends on the specific backend you are using.
| def google.appengine._internal.graphy.common.BaseChart.__init__ | ( | self | ) |
Construct a BaseChart object.
| def google.appengine._internal.graphy.common.BaseChart.AddAxis | ( | self, | |
| position, | |||
| axis | |||
| ) |
Add an axis to this chart in the given position. Args: position: an AxisPosition object specifying the axis's position axis: The axis to add, an Axis object Returns: the value of the axis parameter
| def google.appengine._internal.graphy.common.BaseChart.AddFormatter | ( | self, | |
| formatter | |||
| ) |
Add a new formatter to the chart (convenience method).
| def google.appengine._internal.graphy.common.BaseChart.AddSeries | ( | self, | |
| points, | |||
color = None , |
|||
style = None , |
|||
markers = None , |
|||
label = None |
|||
| ) |
DEPRECATED Add a new series of data to the chart; return the DataSeries object.
| def google.appengine._internal.graphy.common.BaseChart.GetAxis | ( | self, | |
| position | |||
| ) |
Get or create the first available axis in the given position. This is a helper method for the left, right, top, and bottom properties. If the specified axis does not exist, it will be created. Args: position: the position to search for Returns: The first axis in the given position
| def google.appengine._internal.graphy.common.BaseChart.GetDependentAxes | ( | self | ) |
Return any dependent axes ('left' and 'right' by default for LineCharts, although bar charts would use 'bottom' and 'top').
| def google.appengine._internal.graphy.common.BaseChart.GetDependentAxis | ( | self | ) |
Return this chart's main dependent axis (often 'left', but horizontal bar-charts use 'bottom').
| def google.appengine._internal.graphy.common.BaseChart.GetFormattedChart | ( | self | ) |
Get a copy of the chart with formatting applied.
| def google.appengine._internal.graphy.common.BaseChart.GetIndependentAxes | ( | self | ) |
Return any independent axes (normally top & bottom, although horizontal bar charts use left & right by default).
| def google.appengine._internal.graphy.common.BaseChart.GetIndependentAxis | ( | self | ) |
Return this chart's main independent axis (often 'bottom', but horizontal bar-charts use 'left').
| def google.appengine._internal.graphy.common.BaseChart.GetMinMaxValues | ( | self | ) |
Get the largest & smallest values in this chart, returned as (min_value, max_value). Takes into account complciations like stacked data series. For example, with non-stacked series, a chart with [1, 2, 3] and [4, 5, 6] would return (1, 6). If the same chart was stacking the data series, it would return (5, 9).
| def google.appengine._internal.graphy.common.BaseChart.SetAxis | ( | self, | |
| position, | |||
| axis | |||
| ) |
Set the first axis in the given position to the given value. This is a helper method for the left, right, top, and bottom properties. Args: position: an AxisPosition object specifying the axis's position axis: The axis to set, an Axis object Returns: the value of the axis parameter
|
static |
|
static |
|
static |
|
static |


Located on the west coast of the Gulf of Riga, approximately midway between Roja and Riga.
Position 57°10' N; 23°14' E.
The harbour is surrounded by piers. Approach is no problem.
Stern buoys now laid out for local boats.
Limited space for visiting yachts alongside yacht club or with stern anchor. (harbour fees are charged)


01
Furkan Tasdemir
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- Aug 15
- 4 min read
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Instructions
Generate a route by adding to/from locations by:
- Selecting a location from the map
- Entering keywords
- Using your current location
- Clearing/Removing locations
- Add a way point
Description
Save Segment
A route could not be found
BC Address Geocoder & BC Route Planner services provided by DataBC


Implements the pcgen algorithm, which is a modified version of the standard pc-algorithm, with specific conditional independence tests and modified orientation rules.
| Version: | <IP_ADDRESS> |
| Depends: | R (≥ 3.1.0) |
| Imports: | pcalg, graph, Matrix, stats, MASS, utils, Hmisc, methods, lme4, sommer, ggm |
| Published: | 2018-08-02 |
| Author: | Willem Kruijer, Pariya Behrouzi, Maria Xose Rodriguez-Alvarez |
| Maintainer: | Pariya Behrouzi <pariya.behrouzi at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | pcgen results |
| Reference manual: | pcgen.pdf |
| Package source: | pcgen_<IP_ADDRESS>.tar.gz |
| Windows binaries: | r-devel: pcgen_<IP_ADDRESS>.zip, r-release: pcgen_<IP_ADDRESS>.zip, r-oldrel: pcgen_<IP_ADDRESS>.zip |
| OS X binaries: | r-release: pcgen_<IP_ADDRESS>.tgz, r-oldrel: pcgen_<IP_ADDRESS>.tgz |
Please use the canonical form https://CRAN.R-project.org/package=pcgen to link to this page.


| Package | Description |
|---|---|
| javaslang | |
| javaslang.concurrent |
This package contains basic building blocks creating fast, asynchronous, non-blocking parallel code.
|
| javaslang.control |
| Modifier and Type | Method and Description |
|---|---|
default Try<T> |
Value.toTry()
Converts this to a
Try . |
default Try<T> |
Value.toTry(Supplier<? extends Throwable> ifEmpty)
Converts this to a
Try . |
| Modifier and Type | Method and Description |
|---|---|
Option<Try<T>> |
Future.getValue()
Returns the value of the Future.
|
| Modifier and Type | Method and Description |
|---|---|
default Promise<T> |
Promise.complete(Try<? extends T> value)
Completes this
Promise with the given value . |
static <T> Promise<T> |
Promise.fromTry(ExecutorService executorService,
Try<? extends T> result)
|
static <T> Future<T> |
Future.fromTry(ExecutorService executorService,
Try<? extends T> result)
|
static <T> Promise<T> |
Promise.fromTry(Try<? extends T> result)
|
static <T> Future<T> |
Future.fromTry(Try<? extends T> result)
|
boolean |
Promise.tryComplete(Try<? extends T> value)
Attempts to completes this
Promise with the given value . |
| Modifier and Type | Method and Description |
|---|---|
default Future<T> |
Future.andThen(Consumer<? super Try<T>> action)
Support for chaining of callbacks that are guaranteed to be executed in a specific order.
|
Future<T> |
Future.onComplete(Consumer<? super Try<T>> action)
Performs the action once the Future is complete.
|
| Modifier and Type | Class and Description |
|---|---|
static class |
Try.Failure<T>
A failed Try.
|
static class |
Try.Success<T>
A succeeded Try.
|
| Modifier and Type | Method and Description |
|---|---|
default Try<T> |
Try.andThen(Consumer<? super T> consumer)
Shortcut for
andThenTry(consumer::accept) , see andThenTry(CheckedConsumer) . |
default Try<T> |
Try.andThen(Runnable runnable)
Shortcut for
andThenTry(runnable::run) , see andThenTry(CheckedRunnable) . |
default Try<T> |
Try.andThenTry(Try.CheckedConsumer<? super T> consumer)
Passes the result to the given
consumer if this is a Success . |
default Try<T> |
Try.andThenTry(Try.CheckedRunnable runnable)
Runs the given runnable if this is a
Success , otherwise returns this Failure . |
default Try<Throwable> |
Try.failed()
Returns
Success(throwable) if this is a Failure(throwable) , otherwise
a Failure(new NoSuchElementException("Success.failed()")) if this is a Success. |
static <T> Try<T> |
Try.failure(Throwable exception)
Creates a
Try.Failure that contains the given exception . |
default Try<T> |
Try.filter(Predicate<? super T> predicate)
Shortcut for
filterTry(predicate::test) , see filterTry(CheckedPredicate) }. |
default Try<T> |
Try.filterTry(Try.CheckedPredicate<? super T> predicate)
Returns
this if this is a Failure or this is a Success and the value satisfies the predicate. |
default <U> Try<U> |
Try.flatMap(Function<? super T,? extends Try<? extends U>> mapper)
Shortcut for
flatMapTry(mapper::apply) , see flatMapTry(CheckedFunction) . |
default <U> Try<U> |
Try.flatMapTry(Try.CheckedFunction<? super T,? extends Try<? extends U>> mapper)
FlatMaps the value of a Success or returns a Failure.
|
default <U> Try<U> |
Try.map(Function<? super T,? extends U> mapper)
Shortcut for
mapTry(mapper::apply) , see mapTry(CheckedFunction) . |
default <U> Try<U> |
Try.mapTry(Try.CheckedFunction<? super T,? extends U> mapper)
Runs the given checked function if this is a
Success ,
passing the result of the current expression to it. |
static <T> Try<T> |
Try.narrow(Try<? extends T> t)
Narrows a widened
Try<? extends T> to Try<T>
by performing a type safe-cast. |
static <T> Try<T> |
Try.of(Try.CheckedSupplier<? extends T> supplier)
Creates a Try of a CheckedSupplier.
|
default Try<T> |
Try.onFailure(Consumer<? super Throwable> action)
Consumes the throwable if this is a Failure.
|
default Try<T> |
Try.onSuccess(Consumer<? super T> action)
Consumes the value if this is a Success.
|
default Try<T> |
Try.orElse(Supplier<? extends Try<? extends T>> supplier) |
default Try<T> |
Try.orElse(Try<? extends T> other) |
default Try<T> |
Try.peek(Consumer<? super T> action)
Applies the action to the value of a Success or does nothing in the case of a Failure.
|
default Try<T> |
Try.recover(Function<? super Throwable,? extends T> f)
Returns
this , if this is a Success , otherwise tries to recover the exception of the failure with f ,
i.e. |
default Try<T> |
Try.recoverWith(Function<? super Throwable,? extends Try<? extends T>> f)
Returns
this , if this is a Success, otherwise tries to recover the exception of the failure with f ,
i.e. |
static Try<Void> |
Try.run(Try.CheckedRunnable runnable)
Creates a Try of a CheckedRunnable.
|
static <T> Try<Seq<T>> |
Try.sequence(Iterable<? extends Try<? extends T>> values)
Reduces many
Try s into a single Try by transforming an
Iterable<Try<? extends T>> into a Try<Seq<T>> . |
static <T> Try<T> |
Try.success(T value)
Creates a
Try.Success that contains the given value . |
| Modifier and Type | Method and Description |
|---|---|
default Match.MatchValue.Of<Try<T>> |
Try.match() |
| Modifier and Type | Method and Description |
|---|---|
static <T> Try<T> |
Try.narrow(Try<? extends T> t)
Narrows a widened
Try<? extends T> to Try<T>
by performing a type safe-cast. |
default Try<T> |
Try.orElse(Try<? extends T> other) |
| Modifier and Type | Method and Description |
|---|---|
default <U> Try<U> |
Try.flatMap(Function<? super T,? extends Try<? extends U>> mapper)
Shortcut for
flatMapTry(mapper::apply) , see flatMapTry(CheckedFunction) . |
default <U> Try<U> |
Try.flatMapTry(Try.CheckedFunction<? super T,? extends Try<? extends U>> mapper)
FlatMaps the value of a Success or returns a Failure.
|
default Try<T> |
Try.orElse(Supplier<? extends Try<? extends T>> supplier) |
default Try<T> |
Try.recoverWith(Function<? super Throwable,? extends Try<? extends T>> f)
Returns
this , if this is a Success, otherwise tries to recover the exception of the failure with f ,
i.e. |
static <T> Try<Seq<T>> |
Try.sequence(Iterable<? extends Try<? extends T>> values)
Reduces many
Try s into a single Try by transforming an
Iterable<Try<? extends T>> into a Try<Seq<T>> . |
default <U> U |
Try.transform(Function<? super Try<? super T>,? extends U> f)
Transforms this
Try . |
Copyright © 2016. All Rights Reserved.


TableRowFlags, MSG_TABLE_GET_ROW_FLAGS, MSG_TABLE_SET_ROW_FLAGS, MSG_TABLE_GET_ROW_COUNT, MSG_TABLE_SET_ROW_COUNT
In a
Table
object, rows and columns are fundamentally different. Each column has its own properties; columns are generally used to display different kinds of information. Rows, on the other hand, are similar throughout a
Table
. Each row may contain different data, but all rows have the same basic structure throughout a given
Table
.
This has some consequences. For example, all columns are usually displayed; the
Table
should be wide enough to display all visible columns at once.
All the rows, on the other hand, are generally
not
displayed at once. The
Table
will display as many rows as it has room for; the user can scroll the table to see other rows. Also, while there are row properties (defined in
TableRowFlags
) that are similar in nature to the column properties defined in
TableColumnFlags
, you cannot set these properties individually for a row; all rows must have the same
TableRowFlags
.
The instance data field TI
_rowFlags
specifies what
TableRowFlags
will be used for every row in the table.
TableRowFlags
is a word-sized record with the following field:
Table
will draw a line below each column separating the rows. No line will be drawn below the Table's last row.
To find out how TI
_rowFlags
is set, send
MSG_TABLE_GET_ROW_FLAGS
to the
Table
. To change the settings in this field, send MSG_TABLE_SET_ROW_FLAGS.
To find out how many rows a table has, send it
MSG_TABLE_GET_ROW_COUNT
. You can also add or remove rows at will by sending MSG_TABLE_SET_ROW_COUNT. This message adds rows to, or removes them from, the end of the
Table
.
TableRowFlags MSG_TABLE_GET_ROW_FLAGS();
This message returns the current settings of a
Table
object's TI
_rowFlags
field. This field holds the
TableRowFlags
used for every row in the
Table
.
Source: Unrestricted.
Destination: Any
TableClass
object.
Parameters: Nothing.
Return: The
TableRowFlags
used for all rows in the
Table
.
Structures:
TableRowFlags
(described on TRF_DRAW_ROW_SEPARATOR If this field is set, the Table will draw a line below each column separating the rows. No line will be drawn below the Table's last row.
).
void MSG_TABLE_SET_ROW_FLAGS( TableRowFlags flags);
This message changes current settings of a
Table
object's TI
_rowFlags
field. This field holds the
TableRowFlags
used for every row in the
Table
.
Source: Unrestricted.
Destination: Any
TableClass
object.
Parameters:
flags
This is the new set of
TableRowFlags
to be used for every row in the
Table
.
Return: Nothing.
Structures:
TableRowFlags
(described on TRF_DRAW_ROW_SEPARATOR If this field is set, the Table will draw a line below each column separating the rows. No line will be drawn below the Table's last row.
).
word MSG_TABLE_GET_ROW_COUNT();
This message returns the total number of rows in a
Table
object.
Source: Unrestricted.
Destination: Any
TableClass
object.
Parameters: Nothing.
Return: The number of rows in the
Table
.
void MSG_TABLE_SET_ROW_COUNT( word rowCount);
This message changes the
Table
object's total number of rows. If the new row count is smaller than the old one, the last rows will be truncated.
Source: Unrestricted.
Destination: Any
TableClass
object.
Parameters:
rowCount
The new number of rows the
Table
should contain. Rows are added and removed at the end of the
Table
.
Return: Nothing.


5.3 Geomorphology
5.3.1 Hess et al, 1990
“Radar detection of flooding beneath the forest canopy: A review” (Hess, Melack, and Simonett 1990)
Key significance: This reviews many of the earliest studies that employ SAR imagery for mapping of inundated versus non-inundated forest types.
Key notes:
Of key importance for mapping of flooded vs. non-flooded forests is the fact that SAR imagery has a much more intense return off of water versus dry soil or trunks. Thus, the “double-bounce” effect off of a water surface is much stronger than that from soil & then tree.
An excellent schematic of this effect is shown below:
Accuracy of flood detection
Some have found an issue in that canopy that is too dense may attenuate the signal at too great of a degree, and thus the difference between the more intense return from flooded forests may not be apparent (L-band).
Additionally, presence of herbaceous vegetation (e.g., salt marshes) adjacent to flooded forests may erroneously appear as “flooded” forest using L-band. The bright return may be a result of the fleshy, vertically-oriented leaf stalks. These areas are still flooded, however, and thus it may still be effective for mapping of flooding extent, perhaps just not between flooded forest vs. flooded non-forest.
Magnitude of enhancement
Enhancement from flooded forest may range from approximately 2 - 10 dB.
Effect of radar parameters
Of primary importance are three considerations:
- Incidence angle - angles at which imagery is collected vary greatly, and may be an important parameter for efficacy of detecting flooding
- The most effective angle may depend on the ecosystem type. Flooded forests verses swamps may exhibit different dominant backscattering mechanisms.
- Polarization - the polarization of the radar may effect the efficacy of the return in identifying inundated landscapes
- Majority of studies have used HH polarization (Seasat, SIR-A, SIR-B)
- Qualitative assessments are consistent in findings that like-polarized scenes (HH or VV) are more effective at identifying flooded forests via L-band
- Frequency - use of P-, L-, or X-band may have different dominant backscattering mechanisms, and thus may influence detection of inundation.
- L-band commonly used due to ability to penetrate dense canopies, however may have have some limitations
- P-band may be promising for mapping of inundated forests in forests that are very tall or with very dense canopies
Applications in flooded forest research
Critical to examine the temporal and spatial variability of water cover. An important component is availability of ground data on extent and time of flooding at the time of imaging, particularly tricky for tidally inundated forests.
Additionally, for forests with aboveground root structures (i.e., mangroves), scattering of the signal by aboveground roots may reduce the signal and reduce ability to identify inundated forests.
5.3.2 Walsh, 1998
“An overview of scale, pattern, process and relationships in geomorphology: A remote sensing and GIS perspective” (Walsh, Butler, and Malanson 1998)
5.3.3 Imhoff, 1990
“The derivation of a sub-canopy digital terrain model of a flooded forest using synthetic aperture radar” (Imhoff and Gesch 1990)
Key significance: This is one of the earliest uses of SAR imagery to map digital terrain models and understand tidal inundation in a mangrove forest. The study couples both SAR imagery as well as field measurements of tidal inundation in a novel manner, and provides discussion of syncing the timing of imagery acquisition with hydrological records.
Key notes:
The study employed data from both the SIR-B mission as well as tide surface information to create a digital terrain model in southern Bangladesh.
They note the importance of hydrology and geomorphology on mangrove health, citing Lugo and Snedaker’s discussion in which they note that “tidal dynamics” and “water chemistry” are the two most important factors on mangrove health.
The radar data used for the study consisted of three HH polarized L-band radar images, acquired at 26, 46 and 58 degree angles of incidence.
The field data comprised of tide gauge data from give stations throughout the region slightly larger than the survey area, a 1200 m topographic survey transect, and test plots in the forest that were visited during the radar data acquisition period.
DN counterparts to mean backscatter coefficients were used to select break points fro classifying flooded versus non-flooded forests.
Results
All three datasets were coregistered, and field data were used to train a model on flooded vs. non-flooded forest areas.
A spatial filter by a 5 by 5 and then 11 by 11 median filter to remove speckling. The processed image allowed for better discriminating between classes at a spatial frequency appropriate to the formation.
The 58 and 46 deg images were combined to produce an inundation map (the 26 deg data had issues during time of collection, but was used for validation of land edge boundaries), and subsequently into a topographic map.
In doing so they produced numbers along the inundation boundaries, which took on values of elevation level relative to mean sea level. The values of the pixels were used as points and an interpolation procedure was used to produce a continuous DTM.
The authors then discuss various sources of error, which include resolution issues, measurement error, as well as imprecise measures of “flooded” vs “non-flooded” forest recognition by the L-band SAR imagery.
5.3.4 Souza-Filho & Paradella, 2002
“Recognition of the main geobotanical features along the Bragan{}a mangrove coast (Brazilian Amazon Region) from Landsat TM and RADARSAT-1 data” (Souza-Filho and Paradella 2002)
Key contribution: This study exemplifies integration of Landsat and SAR data for mapping of different ecosystem types and successional classes along the Bragan{}a coastline at a landscape scale. Incorporation of landsat and SAR data enables mapping of not only different ecosystem types, but also successional classes (e.g., young vs. mature intertidal mangroves, degraded and renegerated mangroves, etc.).
Key notes:
The authors process Landsat TM and RADARSAT-1 SAR data, and built a composite product using a “Intensity, Hue and Saturation” transform. The transform uses a RGB/IHS transform that incorporates channels formed from PCA of Landsat bands 1, 3 & 3; bands 5 & 7; band 4; as well as a intensity band from the RADARSAT-1 data (described in Harris et al., 1994, Paradella et al, 1998, Pohl, 1998).
The resulting map incorporates the spectral data as well as the intensity data corresponding to SAR topography, with an array of colors and values across the landscape. Using field data and prior knowledge, the authors then visually interpret the map into a variety of different land features.
Key criticism - they do not provide a full accuracy assessment and thus it is unclear how accurate their results are. The map provides much more information (colors) than is interpreted, and thus it is unclear how legible the map necessarily is (classifications may be too fine scale).
They produce a map with 19 classes of the landscape, but it is unclear how they arrive at this point. Assuming that they used the integrated product and supervised classification.
Nevertheless, if we take the procedure for granted, they are able to distinguish between a variety of geobotanical features, including: channels, open water, mudflats, coastal dunes, young intertidal mangroves, intertidal mangroves, supratidal mangroves, degraded mangroves, outer salt marshes, and urban areas.
The final map classification as they provide it is shown below:
Conclusion
The methods are a little black-boxey and may require digging into the associated PhD thesis (in Portuguese), but the map is an interesting approach to pulling information from both spectral (Landsat TM) as well as radar-based (RADARSAT-1) information.
5.3.5 Souza-Filho, 2003
“Use of synthetic aperture radar for recognition of coastal geomorphological features, land-use assessment and shoreline changes in Bragan{}a coast, Para, Northern Brazil” (Souza-Filho and Paradella 2003)
Key contribution:
Key use:
5.3.6 Knight, 2009
“Exploring LiDAR data for mapping the micro-topography and tidal hydro-dynamics of mangrove systems: An example from southeast Queensland, Australia” (Knight et al. 2009)
Key contribution:
5.3.7 Smith, 2009
“Applications of remote sensing in geomorphology” (Smith and Pain 2009)
Key contribution: A review of the use of remote sensing for geomorphology, without a particular focus on mangroves. The article reviews the current platforms and data types, and maps them to their relevant uses within geomorphology.
Of particular note:
Remote sensing particularly well placed to aid studies of geomorphology in:
- location and distribution of landforms
- land surface elevation
- land surface composition
- subsurface characterization
The authors remark consistently on the added value of digital elevation models (both as products, as well as automatic classification by sensors) for geomorphology.
Among most important techniques for postprocessing of LiDAR point clouds for geomorphologists is removing “surface clutter” to extract actual ground surface.
Note:
- Look further into mangrove sites on OpenTopography
Further reading:
- Clark, 1999 - Spectroscopy of rocks and minerals, and principles of spectroscopy
- Sithole and Vosselman, 2004 - Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds
5.3.8 Lucas, 2014
“Contribution of L-band SAR to systematic global mangrove monitoring” (Lucas et al. 2014)
Key contribution:
5.3.9 Balke & Friess, 2016
“Geomorphic knowledge for mangrove restoration: A pan-tropical categorization” (Balke and Friess 2016)
References
Hess, Laura L, John M Melack, and David S Simonett. 1990. “Radar Detection of Flooding Beneath the Forest Canopy: A Review.” International Journal of Remote Sensing 11 (7): 1313–25.
Walsh, Stephen J, David R Butler, and George P Malanson. 1998. “An Overview of Scale, Pattern, Process Relationships in Geomorphology: A Remote Sensing and Gis Perspective.” Geomorphology 21 (3-4): 183–205. doi:10.1016/S0169-555X(97)00057-3.
Imhoff, Marc Lee, and Dean B Gesch. 1990. “The Derivation of a Sub-Canopy Digital Terrain Model of a Flooded Forest Using Synthetic Aperture Radar.” Photogrammetric Engineering and Remote Sensing 56 (8): 1155–62.
Souza-Filho, Pedro Walfir Martins, and Waldir Renato Paradella. 2002. “Recognition of the main geobotanical features along the Bragança mangrove coast (Brazilian Amazon Region) from Landsat TM and RADARSAT-1 data.” Wetlands Ecology and Management 10: 123–32. doi:10.1023/a:1016527528919.
Souza-Filho, P W M, and W R Paradella. 2003. “Use of synthetic aperture radar for recognition of Coastal Geomorphological Features, land-use assessment and shoreline changes in Bragança coast, Para, Northern Brazil.” Anais Da Academia Brasileira De Ciencias 75 (3): 341–56. doi:10.1590/S0001-37652003000300007.
Knight, Jon M, Pat ER Dale, John Spencer, and Lachlan Griffin. 2009. “Exploring Lidar Data for Mapping the Micro-Topography and Tidal Hydro-Dynamics of Mangrove Systems: An Example from Southeast Queensland, Australia.” Estuarine, Coastal and Shelf Science 85 (4): 593–600. doi:10.1016/j.ecss.2009.10.002.
Smith, MJ, and CF Pain. 2009. “Applications of Remote Sensing in Geomorphology.” Progress in Physical Geography 33 (4): 568–82. doi:10.1177/0309133309346648.
Lucas, Richard, Lisa Maria Rebelo, Lola Fatoyinbo, Ake Rosenqvist, Takuya Itoh, Masanobu Shimada, Marc Simard, et al. 2014. “Contribution of L-band SAR to systematic global mangrove monitoring.” Marine and Freshwater Research 65 (7): 589–603. doi:10.1071/MF13177.
Balke, Thorsten, and Daniel A Friess. 2016. “Geomorphic Knowledge for Mangrove Restoration: A Pan-Tropical Categorization.” Earth Surface Processes and Landforms 41 (2): 231–39. doi:10.1002/esp.3841.


{% extends "base.html" %} {% block title %}Not My Job Three Pointers | Guest{% endblock %} {% block head %} {{ super ()}} {% endblock head %} {% block breadcrumb %}
{% endblock breadcrumb %} {% block synopsis %}List of all of the Not My Job guests who answered all three Not My Job questions correctly or were awarded all three points.
{% endblock synopsis %} {% block content %}| Guest | Show Date | Scorekeeper | Score | Scoring Exception | Show Notes | |
|---|---|---|---|---|---|---|
| {{ guest.name }} | {{ guest.show_date }} | {{ guest.show_scorekeeper }} | {{ guest.score }} | {{ guest.exception }} | {% if guest.exception %}{{ guest.show_notes }} | {% else %}{% endif %} |
| Guest | Show Date | Scorekeeper | Score | Scoring Exception | Show Notes |


×
Personal website
Building this site marks the start of my web dev journey. I went for a
minimalistic layout, built with vanilla HTML & CSS (& just a teeny bit
of Javascript for the cards on this page) to get the fundamentals down
before moving onto actual Javascript programming and all the fancy
frameworks out there. Also integrated Jekyll (spent quite some time
getting the pagination to work), uploaded to Github Pages, and made it
mobile responsive.
Next steps would probably be to learn CSS grid & flexbox layout models
for optimization and consistency and to reduce the amount of hacky code.
🤷♀


This chapter explains how to simulate slow-motion cw EPR spectra. "Slow-motion" indicates that each spin center (radical or transition metal complex) in the sample does not have a fixed orientation, but reorients/tumbles randomly. This motion is called rotational diffusion. Depending on the rate of rotational diffusion, different simulation functions need to be used: If the rotational motion is frozen, the sample is in the rigid limit, and pepper is the simulation function to use. If the rate of rotational diffusion is very fast, then garlic should be used. For intermediate tumbling rates, the regime is called the "slow-motion regime". For this regime, EasySpin's function chili should be used. Here, we show how to use chili.
This user guide contains the following topics:Slow-motion cw EPR spectra of S=1/2 systems are computed by the EasySpin function chili. Just as the other simulation functions (pepper, garlic, etc.), it is called with two or three arguments:
chili(Sys,Exp) chili(Sys,Exp,Opt)
The first argument Sys
tells chili
all about the static and dynamic parameters of the spin system. The second argument Exp
gives the experimental parameters. The third argument Opt
gives calculation options.
Without output arguments, chili
plots the computed spectrum. But it can also return one or two outputs. (Don't forget the semicolon at the end of the line to suppress output to the command window.)
Spec = chili(Sys,Exp); [x,Spec] = chili(Sys,Exp);
The outputs x
and Spec
are vectors containing the magnetic field axis (in millitesla) and the spectrum, respectively. If these are requested, chili
does not plot the spectrum.
Doing a simulation only requires a few lines of code. A simple example of a tumbling nitroxide radical is
clear Sys.g = [2.008,2.006,2.003]; Sys.Nucs = '14N'; Sys.A = [20,20,85]; % MHz Sys.tcorr = 4e-8; % seconds Exp.mwFreq = 9.5; % GHz chili(Sys,Exp);
The first few lines define the spin system, a nitroxide radical with anisotropic g and A tensors. Then the rotational correlation time of the radical is set. Finally, experimental parameters are defined, here just the microwave frequency (the magnetic field range is chosen automatically). The last line calls the simulation function, which plots the result. Copy and paste the code above to your MATLAB command window to see the result.
Of course, the names of the input and output variables don't have to be Sys
, Exp
, x
, and Spec
.
You can give them any name you like, as long as it is a valid MATLAB variable name, e.g., FremySaltSolution
or QbandExperiment
. For economy, throughout this tutorial, we will use short names like Sys
and Exp
.
The first input argument to chili
specifies the static parameters of the paramagnetic molecule. It is a structure with various fields giving values for the spin system parameters.
Sys.g = [2.008,2.006,2.003]; Sys.Nucs = '14N'; Sys.A = [20,20,80]; % MHz
The first line defines the g tensor of the spin system via its three principal values. chili
always assumes a single unpaired electron spin S=1/2 by default if nothing is given about the spin S. For other values of S, Sys.S
must be given. For example, if you want to simulate a triplet, use Sys.S=1
.
The field Sys.Nucs
contains a character array giving all the magnetic nuclei in the spin system, a nitrogen-14 in the above example. Use a comma-separated list of isotope labels to give more than one nucleus. E.g., Sys.Nucs = '14N,1H,1H'
specifies one nitrogen and two different protons. See the section on multi-nuclear systems about details of the slow-motion simulation in that case.
Sys.A
gives the hyperfine coupling tensors in MHz (megahertz), with up to three principal values in a row for each of the nuclei listed in Sys.Nucs
. The following defines a hydrogen atom with a 10 MHz coupling to the unpaired electron and a 13C atom with a 12 MHz coupling.
Sys.Nucs = '1H,13C'; Sys.A = [10; 12]; % MHz
Remember that chili
(and other EasySpin functions, too), take the hyperfine coupling values to be in MHz. Often, values for hyperfine coupling constants are given in G (gauss) or mT (milltesla), so you have to convert these values to MHz. For g = 2.00232, 1 G corresponds to 2.8025 MHz, and 1 mT corresponds to 28.025 MHz. The simplest way to convert coupling constants from magnetic-field units to MHz is to use the EasySpin function mt2mhz:
A_MHz = mt2mhz(A_mT); % mT -> MHz conversion A_MHz = mt2mhz(A_G/10); % G -> MHz conversion (1 G = 0.1 mT)
The orientations of the tensors relative to the molecular frame are defined in terms of Euler angles in a 3-element array (see the function erot and the section on frames).
Sys.gFrame = [0 0 0]; % Euler angles for g tensor frame Sys.AFrame = [0 pi/4 0]; % Euler angles for A tensor frame
For more details on these static parameters of the spin system, see the documentation on spin systems.
The spin system structure also collects parameters relating to the dynamics of the paramagnetic molecules. chili
of Brownian diffusion
The most important parameter is the rate of rotational diffusion/tumbling. It can be isotropic or anisotropic (i.e. diffusion can be faster around some axes than around others). There are several alternative ways to specify the rate of isotropic rotational diffusion: either by specifying Sys.tcorr
, the rotational correlation time in seconds
Sys.tcorr = 1e-7; % 10^-7 s = 100 ns
by giving its base-10 logarithm
Sys.logtcorr = -7; % = log10(Sys.tcorr) 10^-7 s = 100 ns
or by specifying the principal value of the rotational diffusion tensor (in rad2 s-1, or equivalently s-1)
Sys.Diff = 1e9; % 1e9 rad^2 s^-1 = 1 rad^2 ns^-1
or by giving its base-10 logarithm
Sys.logDiff = 9; % = log10(Sys.Diff) 1e9 rad^2 s^-1 = 1 rad^2 ns^-1
Diff
and tcorr
are related by
Diff = 1/6./tcorr;The input field
Diff
can be used to specify an axial rotational diffusion tensor, by giving a 2-element vector with first the perpendicular principal value (for rotation around the x and y axes) and then the parallel principal value (for rotation around the z axis):
Sys.Diff = [1 2]*1e8; % in rad^2 s^-1
The Sys.lw
field has the same meaning as for the other simulation functions garlic and pepper. It can be used to specify an additional Gaussian and/or Lorentzian broadening (FWHM, in mT):
Sys.lw = [0.05 0.01]; % [GaussianFWHM, LorentzianFWHM] in mT
These line broadenings are convolutional, i.e. they broaden all regions of the spectrum equally. For the reliability of the slow-motion simulation algorithm in chili
, it is recommended to always use a small residual Lorentzian line width in Sys.lw
.
chili
is also capable of simulating spectra including spin exchange due to molecular collisions between radicals in solution. The effective exchange frequency (in inverse microseconds) is specified in Sys.Exchange
, e.g.
Sys.Exchange = 100; % microseconds^-1
A short example of a nitroxide radical EPR spectrum with exchange narrowing is
clear Nx.g = [2.0088, 2.0061, 2.0027]; Nx.Nucs = '14N'; Nx.A = [16 16 86]; % MHz Nx.tcorr = 1e-7; % seconds Nx.lw = [0 0.1]; % mT Nx.Exchange = 30; % microseconds^-1 Exp.mwFreq = 9.5; Exp.CenterSweep = [338 10]; % mT chili(Nx,Exp);
chili
can also include an orientational potential-energy function in the simulation. This is used to model hindered rotational diffusion, i.e. when not all orientations of the spin center relative to its immediate ennvironment (protein, membrane, etc) are equally accessible energetically.
The orientational potential is specified in the field Sys.Potential
in the spin system structure. The potential is expressed as a linear combination of Wigner function, with the expansion coefficients λLMK and the function quantum numbers L, M, and K. For each expansion term, specify L, M, K, and λLMK in a row. Here are some examples:
Sys.Potential = [2 0 0 0.3]; % one term Sys.Potential = [2 0 0 0.3; 2 0 2 -0.2]; % two terms
The orientational potential gives rise to an non-uniform orientational distribution of the spins. The simplest ordering term is λ2,0,0. Its symmetry corresponds to a dz2 orbital. If it is positive, it indicates preferential orientation of the molecular z axis along the external magnetic field.
When an ordering potential for the spin center is present, the simulation has to take into account whether the immediate environment responsible for the ordering (protein, membrane, etc) is ordered or disordered. In the former case, a single-orientation simulation is sufficient, whereas in the latter case, an orientational average over all possible orientations of the protein or membrane is needed - see section on orientational averaging.
The second input argument, Exp
, collects all experimental settings. Just as the spin system, Exp
is a structure containing several fields.
Microwave frequency. To simulate an EPR spectrum, EasySpin needs at a minimum the spectrometer frequency. Put it into Exp.mwFreq
, in units of GHz.
Exp.mwFreq = 9.385; % X-band Exp.mwFreq = 34.9; % Q-band
Field range. There are two ways to enter the magnetic-field sweep range. Either give the center field and the sweep width (in mT) in Exp.CenterSweep
, or specify the lower and upper limit of the sweep range (again in mT) in Exp.Range
.
Exp.CenterSweep = [340 80]; % in mT Exp.Range = [300 380]; % in mT
Exp.CenterSweep
and Exp.Range
are only optional. If both are omitted, EasySpin tries to determine a field range large enough to accommodate the full spectrum. This automatic ranging works for many common systems, but fails in more complicated situations. EasySpin will issue an error when it fails.
Points. By default, pepper
computes a 1024-point spectrum. However, you can change the number of points to a different value using
Exp.nPoints = 5001;
You can set any value, unlike some older EPR spectrometers, where often only powers of 2 are available (1024, 2048, 4096, 8192).
Harmonic. By default, EasySpin computes the first-harmonic absorption spectrum, i.e. the first derivative of the absorption spectrum. By changing Exp.Harmonic
, you can request the absorption spectrum directly or the second-harmonic (second derivative) of it.
Exp.Harmonic = 0; % absorption spectrum Exp.Harmonic = 1; % first harmonic (default) Exp.Harmonic = 2; % second harmonic
Often, it is useful to look at the simulated absorption spectrum (Exp.Harmonic=0
) first to develop an understanding of spectral features.
Modulation amplitude. If you want to include effects of field modulation like overmodulation, use Exp.ModAmp
Exp.ModAmp = 0.2; % 0.2 mT (2 G) modulation amplitude, peak-to-peak
Time constant. To include the effect of the time constant, apply the function rcfilt to the simulated spectrum. Although many existing spectrometers have this electronic filtering, it is considered outdated and should be avoided in experiments.
For more advanced spectral simulations, EasySpin offers more possibilities in the experimental parameter structure Exp
.
Mode. Most cw EPR resonators operate in perpendicular mode, i.e., the oscillating magnetic field component of the microwave in the resonator is perpendicular to the static field. Some resonators can operate in parallel mode, where the microwave field is parallel to the static one. Although EasySpin can simulate both types of spectra in the rigid limit, it does not support parallel mode for slow-motional spectra.
Temperature. The polarizing effects of low sample temperatures can also be included in the simulation by specifying the temperature:
Exp.Temperature = 4.2; % temperature in kelvin
With this setting, EasySpin will include the relevant polarization factors resulting from a thermal equilibrium population of the energy levels. For S=1/2 systems, it is not necessary to include the temperature. However, it is important in high-spin systems with large zero-field splittings, and in coupled spin systems with exchange couplings.
Microwave phase. Occasionally, the EPR absorption signal has a small admixture of the dispersion signal. This happens for example when the microwave phase in the reference arm is not absolutely correctly adjusted. EasySpin can mix dispersion with absorption if a Lorentzian broadening is given:
Sys.lwpp = [0.2 0.01]; % Lorentzian broadening (2nd number) required Exp.mwPhase = 0; % pure absorption Exp.mwPhase = pi/2; % pure dispersion Exp.mwPhase = 3*pi/180; % 3 degrees dispersion admixed to absorption
In a frozen solution of spin-labelled protein, the protein molecules assume all possible orientations. For slow-motion spectra, this orientational distribution has to be taken into account if a orienting potential is present. If not, it is sufficient to compute only one orientation, as the spectra from all orientations are identical.
The summation of slow-motion spectra over all possible orientations of an immobile protein or membrane ("director") is historically called the MOMD (microscopic order macroscopic disorder) model. This is equivalent to a powder average. In chili
, the orientational average is calculated whenever you specify an orientational potential. To get a single-orientation spectra, i.e. the slow-motion spectrum for the nitroxide attached to a rigid protein with a single protein orientation, use the field Exp.CrystalOrientation
to specify the protein orientation via the Euler tilt angle (in radians) between the lab frame (which is lab-fixed) and the frame of the orienting potential (which is fixed to the protein).
When chili
performs an orientational average, it takes the number of orientations to include from Opt.nKnots
. Often, Opt.nKnots
does not have to be changed from its default setting, but if the spectrum does not appear to be smooth, Opt.nKnots
can be increased. Larger values of Opt.nKnots
increases the simulation time. It might also be necessary to change the symmetry in Opt.Symmetry
(to e.g. 'D2h'
or 'Ci'
).
chili is not able to automatically determine values of Opt.nKnots
and Opt.Symmetry
that yield a converged spectrum. It is therefore important to increase Opt.nKnots
until the spectrum doesn't change anymore, and to initially use the most general symmetry setting Opt.Symmetry = 'Ci'
to assure a correct and converged spectrum.
The third input structure, Opt
, collects parameters related to the simulation algorithm.
The most important field in this structure is Opt.LLMK
. It contains 4 numbers that determine the number N of orientational basis functions used in the simulation - the larger the numbers in LLMK
the larger is N. N determines how accurately the rotational motion is modelled: The larger N, the more accurate the simulation. Typically, the spectrum converges as a function of N. chili
uses preset values in Opt.LLMK
which typically work well for X-band nitroxide spectra in the fast and intermediate motion regime without ordering. However, in the presence of ordering, for slow motions, for other spin systems, and for other spectrometer frequencies, the default settings of Opt.LLMK
are too small. In that case, the four values in Opt.LLMK
have to be increased, e.g.
Opt.LLMK = [24 20 10 10]; % moderately high values
All numbers must be positive or zero. The first number is the maximum even L, the second is the maximum odd L, and the third and fourth number are the maximum M and K, respectively. The latter two numbers cannot be larger than the maximum L.
One approach to optimize the basis size is to start from [2 0 0 0]
and increase each of the four numbers in turn, run the simulation, and see if the spectrum changes. Once the spectrum doesn't change anymore, the basis size large enough. If your spin system or rotational parameters change, you need to test the basis size again for convergence.
To see the values of Opt.LLMK
that chili
is using, set Opt.Verbosity=1
, as described next.
The field Opt.Verbosity
specifies whether chili
should print information about its computation into the MATLAB command window.
By default, its value is set to 0, so that chili
is silent. It can be switched on by setting it to a non-zero value.
Opt.Verbosity = 0; % don't print any information Opt.Verbosity = 1; % print information Opt.Verbosity = 2; % print more information
The Stochastic Liouville equation solver in chili
is capable of simulating slow-motional cw EPR spectra of systems with multiple nuclei. However, the computational cost increased rapidly with the number of spins, to a degree that simulations with more than three or four nuclei might be unbearably slow or may run out of memory.
There is a workaround for situations where the hyperfine coupling of one or two nuclei is significantly larger than those of all other nuclei. In that case, chili
can be instructed via Opt.PostConvNuclei
to use an approximate procedure: The slow-motional spectrum is simulated using only the electron spin and the nuclei with the dominant hyperfine couplings, and the resulting spectrum is convoluted with the isotropic splitting pattern due to all other nuclei. This post-convolution technique often gives reasonable results very close to the exact solution.
A simple example is
CuPc = struct('g',[2.0525 2.0525 2.1994],'Nucs','63Cu,14N','n',[1 4]); CuPc.A = [-54 -54 -608; 52.4 41.2 41.8]; % MHz CuPc.logtcorr = -8.3; Exp = struct('mwFreq',9.878,'CenterSweep',[330 120],'nPoints',5e3); Opt.LLMK = [36 30 8 8]; % fairly large basis Opt.PostConvNucs = 2; % indicate to use post-convolution for 14N chili(CuPc,Exp,Opt);
chili
, like the other cw EPR simulation functions pepper
and garlic
, simulates field-swept spectra by default. However, you can use it to
simulate frequency-swept spectra as well.
For this, all you need to do is the following:
Exp.Field
. Make sure you do not set Exp.mwFreq
, otherwise EasySpin does not know what to do.
Exp.mwRange
or Exp.mwCenterSweep
. You can also omit these, in which case pepper
will try to determine an adequate range automatically.
Sys.lw
or Sys.lwpp
, make sure they are in units of MHz. For a frequency sweep, these convolutional linewidth parameters are understood to be in MHz (and not in mT, as they are for field sweeps).
Here is an example of a frequency-swept slow-motion spectrum of a nitroxide radical:
clear Nx.g = [2.008 2.006 2.002]; Nx.Nucs = '14N'; Nx.A = [20 20 100]; % MHz Nx.tcorr = 1e-9; % seconds Nx.lw = [0 5]; % MHz! Exp.Field = 340; % static field, in mT Exp.mwRange = [9.3 9.7]; % frequency range, in GHz chili(Nx,Exp);
By default, chili
returns the absorption spectrum (Exp.Harmonic=0
) when you simulate a frequency-swept spectrum. To get the first or second derivative, change Exp.Harmonic
to 1 or 2. Note however that Exp.ModAmp
is not supported for frequency sweeps.
All other capabilities of chili
apply equally to frequency sweep and to field sweeps. For example, you can simulate multi-component spectra, you can use an orientational potential, you can perform orientational averaging, and you can adjust the basis size.


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Kalos - Central
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First Evo Only?
Get Random Pokemon
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↺


{{name_of_DRG}}
Here are your best options near {{city}}:
Within 50 mi:
| {{hospitals_select_1[0]['hosp_name']}} | {{hospitals_select_1[0]['countyname']}} {{hospitals_select_1[0]['state']}} | {{hospitals_select_1[0]['distance']}} | {{hospitals_select_1[0]['price']}} | {{hospitals_select_1[0]['hosp_rating']}} |
| {{hospitals_select_1[1]['hosp_name']}} | {{hospitals_select_1[1]['countyname']}} {{hospitals_select_1[1]['state']}} | {{hospitals_select_1[1]['distance']}} | {{hospitals_select_1[1]['price']}} | {{hospitals_select_1[1]['hosp_rating']}} |
| {{hospitals_select_1[2]['hosp_name']}} | {{hospitals_select_1[2]['countyname']}} {{hospitals_select_1[2]['state']}} | {{hospitals_select_1[2]['distance']}} | {{hospitals_select_1[2]['price']}} | {{hospitals_select_1[2]['hosp_rating']}} |
In your state:
| {{hospitals_select_2[0]['hosp_name']}} | {{hospitals_select_2[0]['countyname']}} {{hospitals_select_2[0]['state']}} | {{hospitals_select_2[0]['distance']}} | {{hospitals_select_2[0]['price']}} | {{hospitals_select_2[0]['hosp_rating']}} |
| {{hospitals_select_2[1]['hosp_name']}} | {{hospitals_select_2[1]['countyname']}} {{hospitals_select_2[1]['state']}} | {{hospitals_select_2[1]['distance']}} | {{hospitals_select_2[1]['price']}} | {{hospitals_select_2[1]['hosp_rating']}} |
In the US:
| {{hospitals_select_3[0]['hosp_name']}} | {{hospitals_select_3[0]['countyname']}} {{hospitals_select_3[0]['state']}} | {{hospitals_select_3[0]['distance']}} | {{hospitals_select_3[0]['price']}} | {{hospitals_select_3[0]['hosp_rating']}} |
| {{hospitals_select_3[1]['hosp_name']}} | {{hospitals_select_3[1]['countyname']}} {{hospitals_select_3[1]['state']}} | {{hospitals_select_3[1]['distance']}} | {{hospitals_select_3[1]['price']}} | {{hospitals_select_3[1]['hosp_rating']}} |


International Airport
Home
About
Flights
Contact
Book A Flight
Child 1
Child 2
Child 3
Child 4
Child 5!
Child 6!


Brewery: {{ beer.breweries[0].name }}
Description: {{ beer.description }}
Order 1 More Wanna try another from this Brewery?
No Search Results
Brewery: {{ result.breweries[0].name }}


Season Films Catalogue
Select An Option
(OR click me to clear display)
Game Of Thrones
Money Heist / La Casa De Papel
WallPapers...
Season Films Catalogue
Select A Season Film
Select An Option
(OR click me to clear display)
Game Of Thrones
Money Heist / La Casa De Papel
Season Films WallPapers...
Catalogue 1
Catalogue 2
Catalogue+
GOT Quotes
GOT WallPapers
Money Heist WallPapers
Sofia The First WallPapers
WallPapers Catalogue+


Enum TorrentState
The torrent state.
Namespace: QBittorrent.Client
Assembly: QBittorrent.Client.dll
Syntax
public enum TorrentState
Fields
| Name | Description |
|---|---|
| Allocating | Allocating space on disk |
| CheckingDownload | Torrent is being checked |
| CheckingResumeData | Resume data is being checked |
| CheckingUpload | Torrent has finished downloading and is being checked; this status also applies to preallocation (if enabled) and checking resume data on qBt startup |
| Downloading | Torrent is being downloaded and data is being transferred |
| Error | Some error occurred, applies to paused torrents |
| FetchingMetadata | Torrent has just started downloading and is fetching metadata |
| ForcedDownload | |
| ForcedUpload | |
| MissingFiles | The files are missing |
| Moving | Data is being moved from the temporary folder |
| PausedDownload | Torrent is paused and has NOT finished downloading |
| PausedUpload | Torrent is paused and has finished downloading |
| QueuedDownload | Queuing is enabled and torrent is queued for download |
| QueuedForChecking | Queued for checking |
| QueuedUpload | Queuing is enabled and torrent is queued for upload |
| StalledDownload | Torrent is being downloaded, but no connection were made |
| StalledUpload | Torrent is being seeded, but no connection were made |
| Unknown | Unknown |
| Uploading | Torrent is being seeded and data is being transferred |


From the Death Certificate
for John L. B. Latta:
John L.B. Latta
Death certificate, #44681,
says that John L. B. Latta of Center Township, Monroe County, Ohio, widowed
from Hannah Latta, was born May 31, 1857.
He lived 78 years, 1 month, 22 days.
He was a retired caretaker of a private home. He was born in Moose Ridge, the son of Samuel Latta from
Pennsylvania and Hannah Schaffer* from Moose Ridge, Monroe Co., OH. The informant was Mrs. Anna E. Turner** of
Woodsfield, Ohio. He died in Center
Twp. on July 23, 1935. The cause of
death was chronic myocarditis attested by Dr. O. C. Jackson of Woodsfield. John was buried in Woodsfield, Ohio, on
July 24, 1935.
Submitter s Notes:
*I think that the informant
was confused. Hannah Schaffer was the
name of John Elba's wife, not his mother. His mother was Emily Jane Moose who
died while he was yet a baby. His
stepmother was Hannah Elisabeth Okey.
**His half sister, Anna E.,
married William Forest Turner.
His daughter Anna E., married
John Franklin (Frank) Turner.
I am not sure which Anna E.
was the informant.
Provided by Betty Latta Kitchen
Click here for the Short-Cut Table of Contents


fun createLocationRequest(): LocationRequest
Creates location request
Return LocationRequest locationRequest


Check the checkbox; then use your Next thumb key to locate the Ok button and press Enter. This will turn on HP print services.


195 Gigapixel Panorama Photo of Shanghai Lets You Zoom in and Find Weird Things
From clones to green taxis, there is no telling what you might come across in this gigantic pic.
by Loukia PapadopoulosA Chinese company appropriately called Big Pixel has released a panorama photo which is 195 gigapixels. It was taken at the Oriental Pearl Tower in Shanghai and it captures everything around the structure.
RELATED: NASA HAS RELEASED LARGEST PICTURE EVER TAKEN
At such impressive gigapixels, it allows people to zoom in and catch all kinds of details. Here are a few of what we found:
1. Good, now they are cloning people in China
We zoomed in and found these four scooter riders following each other that look exactly the same. Could it be that they have started cloning people in China?
2. Dancing in the street?
This lady looks like she is running hands open towards someone. Only there is no one in front of her. Could she be dancing alone in the street? That would be fun!
3. Twins in the city
We spotted these two identical girls sporting even the same umbrella and walking the same way. Could they be twins or is this another case of cloning?
4. A person disappearing
We are sure this is just a camera trick. Still, it is pretty cool to notice this person disappearing. A ghost maybe?
5. Green taxi
How cute is this green taxi? It is definitely a welcome change from traditional yellow taxis and stands out even in a panoramic pic such as this.
6. Three men staring at a pic
This one is not so original but it is funny to see people staring at a picture inside a picture. Surely they had no idea they were being captured from above.
7. A soldier in full gear
Here we have a man dressed in the full red military gear complete with hat. Where is he going dressed like that?
8. A hiding woman
This woman has put a book on top of her head. Could she know that a picture is being taken right above her or is she just avoiding the sun?
These are just a few of the fun things we found but there are countless more. Take a look for yourselves and see what you can find.


Youtube to embedded flash (page)
With this you can watch youtube videos in places where youtube's site is blocked. (Not guaranteed to work in all places)
Insert url of youtube video to textbox and choose size.
Page creates new embedded flash object.
http://www.youtube.com/watch?v=am76xV8Aubk is normal youtbe web page
http://www.youtube.com/v/am76xV8Aubk is url to video. (if you use this url, it opens it automatically to embedded flash, but in fullscreen)
Javascript replaces youtube.com/watch?v= with youtube.com/v/ from url that is used for video.


| MPI_ERRHANDLER_FREE( errhandler ) | |
| INOUT errhandler | MPI error handler (handle) |
int MPI_Errhandler_free(MPI_Errhandler *errhandler)
MPI_ERRHANDLER_FREE(ERRHANDLER, IERROR)
int MPI_Error_string(int errorcode, char *string, int *resultlen)
MPI_ERROR_STRING(ERRORCODE, STRING, RESULTLEN, IERROR)
The number of characters actually written
is returned in the output argument, resultlen.
The form of this function was chosen to make the Fortran and C
bindings similar. A version that returns a pointer to a string has two
difficulties. First, the return string must be statically allocated and
different for each error message (allowing the pointers returned by
successive calls to MPI_ERROR_STRING to point to the correct
message). Second, in Fortran, a function declared as returning
CHARACTER*(*) can not be referenced in, for example, a
PRINT statement.
( End of rationale.)
INTEGER ERRHANDLER, IERROR
{ void MPI::Errhandler::Free() (binding deprecated, see Section Deprecated since MPI-2.2
) }
Marks the error handler associated with errhandler for
deallocation and sets errhandler to
MPI_ERRHANDLER_NULL.
The error handler will be deallocated after
all
the objects
associated with it
(communicator, window, or file)
have been deallocated.
MPI_ERROR_STRING( errorcode, string, resultlen ) IN errorcode Error code returned by an MPI routine OUT string Text that corresponds to the errorcode OUT resultlen Length (in printable characters) of the
result returned in string
INTEGER ERRORCODE, RESULTLEN, IERROR
CHARACTER*(*) STRING
{ void MPI::Get_error_string(int errorcode, char* name, int& resultlen) (binding deprecated, see Section Deprecated since MPI-2.2
) }
Returns the error string associated with an error code
or class.
The argument string must represent storage that is at least
MPI_MAX_ERROR_STRING characters long.
Rationale.
Up: Error Handling
Next: Error Codes and Classes
Previous: Error Handlers for Files
Return to MPI-2.2 Standard Index
Return to MPI Forum Home Page
(Unofficial) MPI-2.2 of September 4, 2009
HTML Generated on September 10, 2009


This tool allows users to upload the bulk crystal structure of a layered material in a number of common formats (or to choose from a few examples) and, after detection of bonds and of 2D layers, it determines the symmetry of the inter-layer force-constant matrices and the corresponding optical-activity fan diagram.
The output page that is displayed includes relevant information on the structure (interactive visualizations of the bulk multilayer and of each layer, information on the coincidence operation and of the symmetry properties of the multilayer), and shows the independent components of the force-constant matrices. For the latter, random values are proposed, chosen so as to mimick their typical ratios. These can be changed interactively, and the tool then computes in real-time the corresponding fan diagram, including the optical activity for infrared and Raman spectroscopy (and, for Raman modes, it also shows if the mode would be detectable in a back-scattering geometry).
In input, a skin factor parameter f can also be selected to tune the bond-detection algorithm. In particular, the tool will consider two atoms A and B bonded if their distance is smaller than f(rA + rB), where rA and rB are the corresponding covalent atomic radii from the following paper: B. Cordero et al., Covalent radii revisited, Dalton Trans. 21, 2832 (2008).
Note: the tool only works for structures that satisfy the maximum-degree-of-order hypotheses of order-disorder polytypes, and in particular that the structure is composed by a stacking of the same 2D layer, with the same coincidence relationship bringing any layer onto the next one. If any of the conditions is not satisfied, the tool will display a message informing that the structure does not satisfy the assumptions, and so the symmetry analysis cannot be applied.


Frequently Asked Questions
I'm listening to music but SkronkFM is not updating. How often does SkronkFM check my last.fm playing status?
Every fifteen seconds. Checking it more often typically won't result in faster updates, since many of the music services like Mog and Rdio don't scrobble songs until they've been playing for a certain length, for example 25% completed. Commonly this translates into 30-60 seconds into a song before last.fm first sees the new song. For longer songs it may take even more time to scrobble.
Why does it take each service (Spotify, Mog) so long to update my playing status?
See previous answer. Different music services have different rules on how often they send last.fm updates. Some scrobbling applications may allow you to customize their scrobbling rules.
Why does SkronkFM keep saying my music has stopped?
SkronkFM can only report what last.fm tells it. If a scrobbling application or service does not send an update to last.fm after restarting a paused song, last.fm will not be able to see that the song is playing again. When the next song begins, last.fm should get a fresh update.
Do I need a last.fm account to use SkronkFM?
For now, yes. The initial release of SkronkFM uses last.fm as its sole music source. Future versions of SkronkFM will add support for watching additional music players. At that point, last.fm will be optional.
Where's my album? Where's my album art?
If last.fm doesn't recognize the song you're scrobbling, it won't be able to associate it with an album. Sometimes small differences in the song name will throw things off, like missing punctuation or alternate spellings. When in doubt, look it up on last.fm by selecting "Open Song on last.fm" from the SkronkFM menu.
That flashing icon is distracting. How do I get rid of it?
Turn off the option "Show Watcher Icon" in Preferences or in the menu bar menu.
Does SkronkFM update in the background?
SkronkFM only checks the network when it's awake. If you sleep it with the menu or shortcut key, SkronkFM will cease network activity until you wake it again.
Scrobble?
"Scrobble" is last.fm's term for sending song updates from your local playlist to last.fm.
What if I don’t have a question?
Feel free to ask it anyway. Send all your non-questions to skronk@fourfringe.com.


One man killed after vehicle rolls on Erastus Durbin Road in Mercer County
by Breaking News StaffMERCER COUNTY — One person was killed after a single-vehicle crash on Erastus Durbin Road near state Route 119 early this morning.
Just before 5 a.m., a 2006 Toyota Tundra was traveling northbound on Erastus Durbin Road near state Route 119 when it went off the west side of the road and rolled, according to reports from the Mercer County Sheriff’s Office.
The driver, Travis Fullenkamp, 39, of Fort Recovery, was thrown from the car and pronounced dead on the scene.
The crash remains under investigation by the Mercer County Sheriff’s Office.


---
layout : example
title : Autocomplete With Custom Render
example : autocomplete
id : autocomplete-with-custom-render
---
{% include common.html %}
{% capture example_textarea %}
{% endcapture %}
{% capture example_script %}
{% endcapture %}
{% include live_demo.html %}


{% extends "global/Page.html" %} {% load otree %} {% block title %}
Instructions
{% endblock %} {% block content %}Welcome to our experiment. Please read the instructions carefully because you will NOT be able to refer back to them. Your cash earnings in this experiment will depend on the decisions you take. It is therefore important that you understand the rules of the experiment.
In this experiment, your earnings will be denoted in Experimental Currency Units (ECU). 50 ECU are worth £1. After the experiment is over, we will convert the total of your earnings for the whole session into pounds and pay you through bank transfer.
This part of the experiment is divided into 12 rounds. In each round, you will have the opportunity to earn ECU by solving as many tables as possible within 40 seconds.
You will be presented with various tables including zeros and ones. You earn ECU for entering the number of ones within each table.
In each experimental round solve as many tables as you can within the time limit. You will earn 10 ECU for each table you solve.
After 40 seconds, the task ends and the computer will inform you of the total number of tables you had successfully solved as well as your total earnings from the task. This is your income from your task.
Just like income in real life, this income is subject to an experimental tax. The tax rate on your income is 25%. This means that for every 10 ECU you earn, you must pay 2.5 ECU in tax. The money that is generated through this tax will be returned to the experimenters. Please note that this tax on the experiment is not a tax levied by the HMRC, but one levied by the experimenters for the sole purpose of use in the experiment. Hence it is not to be confused with actual taxes.
To fill in the tax return, you have simply to declare your earnings. Given the amount of earnings that you declare, the computer will automatically compute the total amount of tax you will be required to pay.
Once you complete your tax form, the tax authority may choose to audit it. There is a 1 in 5 chance (or 20% probability) you tax form will be audited.
If you are NOT selected for tax audit: Your final earnings for the experimental round will be equal to the amount of earnings you had made from the task minus the tax you had paid on the earnings you reported on your tax form.
If you ARE selected for tax audit:
•If you are audited and if you reported your income accurately, then nothing further will happen; your final earnings for the round will be the same as if you had not been audited.
•If you are audited and if you reported less income than you actually earned, then you will be required to pay the extra amount of tax due to the authority. In addition, you will pay a fine of 1 ECU for each ECU of underpaid tax.
Now let's go through a few hypothetical examples.
| Your Income | 10 ECU |
|---|---|
| Your Declared Income | 10 ECU |
| Tax paid on declared income | 2.50 ECU |
| Selected by Tax Authoritiies for Audit? | Yes |
| Additional Tax Payable | 0 ECU |
| Fine | 0 ECU |
| END OF ROUND INCOME | 7.50 ECU |
| Your Income | 20 ECU |
|---|---|
| Your Declared Income | 16 ECU |
| Tax paid on declared income | 4 ECU |
| Selected by Tax Authoritiies for Audit? | Yes |
| Additional Tax Payable | 1 ECU |
| Fine | 1 ECU |
| END OF ROUND INCOME | 14 ECU |
| Your Income | 16 ECU |
|---|---|
| Your Declared Income | 10 ECU |
| Tax paid on declared income | 2.50 ECU |
| Selected by Tax Authoritiies for Audit? | No |
| Additional Tax Payable | 0 ECU |
| Fine | 0 ECU |
| END OF ROUND INCOME | 13.50 ECU |
After the audit is completed, you will be presented with a screen that summarises the following:
Summary
In short, each round in this part of the experiment will consist of three stages:
STAGE 1: You earn income by solving tables.
STAGE 2: You declare your income to the tax authority.
STAGE 3: You get your final earnings, which depend on how your report your income and whether you were audited or not.


Senior Cape Town cop shot dead in driveway
by Tammy PetersenA senior Cape Town police officer was shot dead on Thursday morning.
The man is understood to have been gunned down in the driveway of his house in Bishop Lavis.
Provincial police spokesperson Brigadier Novela Potelwa said crime scene experts were still on the scene of the shooting, where the 52-year-old lieutenant colonel attached to the Firearm, Liquor and Second Hand Goods Control (FLASH) Unit was murdered.
"It is alleged the official had just got into his vehicle at 06:50 when an unknown gunman in a vehicle fired several shots at him. He died on the scene," she said.
READ | Hawks colonel shot dead at Cape Town home
Acting Western Cape Police Commissioner Lieutenant General Sindile Mfazi conveyed his condolences to the officer's loved ones and described him as a dedicated police official.
Trauma counselling
His colleagues and family were receiving trauma counselling, Potelwa said.
One of the ward councillors in the Bishop Lavis precinct, Angus McKenzie, described the officer's murder as "senseless".
"I strongly encourage that no stone is left unturned in bringing this disgusting and vile individual or individuals to book that have committed this attack against our community and country," he said.
"No law enforcement official deserves to die in such a way!"
The officer's name is known to News24, but will only published when his next of kin are informed of his death.
According to Lieutenant General Christine Mgwenya, 29 police officers were killed in the line of duty during the 2017/2018 financial year.
However, that number is lower than the 56 killed while off duty over the same period.
Data going back to 2012/13 indicates that off-duty unnatural deaths far outnumber the deaths of police officers while on duty, according to a SAPS briefing to Parliament in 2015.


Let me first tell you a little about myself. I've smoked pot a few times in my life.  In any case recently I took a job that is deemed a 'safety sensitive' position, meaning that I can get random drug tested, so out went my ability to smoke pot. I turned my attention to legal drugs that would give me a unique experience. Not immediately, but ultimately my attention was drawn to the Shepherdess herself. I did my homework, I read up on the effects, doses, good trips and bad alike. All that was left was to get my hands on some. A head shop that I knew in the heart of Baltimore was the perfect place.
That night a few curious friends and I gathered at a friend's house. Pulling out his newly acquired bubbler, we discussed what was about to go down. In retrospect, this being the first time for a few of us, we should have assigned a sitter or sitters, but we ended up being any way. The friend that I had split the cost of the salvia with took the first hit, we all watched intently as he held that hit for as long as possible. Just as I was thinking that we had gotten ripped off and I began to take my hit he began laughing hysterically and wandered away, presumably back onto the deck where we had set up a TV.
As I held the smoke in my lungs and held the pipe out for my friend to grab I was overtaken by a wave of laughter. I reached up, grabbed the supports of the deck and swayed back and forth and side to side trying to regain my composure. It snuck up on me. It took me a minute or so to even realize I was feeling anything.
Simultaneously I had the feeling that I was on a train and in a pop-up book. It's hard to explain, it didn't feel as if I was on a train in a pop-up book in a train or a train in a pop-up book, but rather I was simultaneously on a train and in a book. As I stood the world seemed so strange as if I had never been where I was before, as if I had gone somewhere completely different and alien. Interestingly, the duality continued. It seemed as if I was simultaneously tripping and sober at the same time.
As I continued to sway, gripping the deck firmly, I began to have a conversation, nay an argument within my own head, the kind of introspection that occurs when you have to make a difficult decision and are weighing the options. The debate raged as my friends torched the rest of the bowl, I remember thinking to myself how real things felt which contradicted how weird things looked not trippy or weird, I wasn't hallucinating but everything was fuzzy, smoky, hazy, and fragmented. As I felt the deck my mind raced. Completely forgetting about the effects of the drug I was overtaken by the question of how things could appear both real and unreal at the same time. As my friends left the shelter of the deck, I followed almost instinctually, all the while feeling things as I walked up the stairs which to my eyes seemed ethereal but to my hands and feet were as grounded as ever. Finally reaching my seat I relaxed, took a deep breath and seemingly feel out of this state.
My friends particularly those at the tail end of the first rotation were anxious to pack another bowl. As I sat and tried to respond I felt drunk. My eyes seemed to sway although I could feel that my body and particularly head were completely stationary. In any case we made our way back down under the safety of the deck. As I packed the bowl again, we enthusiastically discussed what we had each individually gone through which in hindsight probably wasn't the greatest idea from the view point of originality for our second trip. As I lit the salvia, I listened rather bored to my friend's tale of the adventure he had been on. The taste was terrible, for whatever reason it took a while to hit me this time. So long in fact that I basically acted as a sitter as one of my friends stared unblinkingly intently into the windows of his house, saying nothing, standing slouched.
Finally it kicked in, once again it's difficult to explain. I felt as if I was in a video game. At least that's how I felt as the ground appeared computer-generated, my brain was still working. I was afraid that my experience would be the same as the first so I wandered to a different part of the yard. Pushing my way between the branches of a willow tree that seemed like a jungle, I made my way to the trunk, where I was overtaken by the sudden urge to relieve myself. As I did so, I began looking around, rather late to see if anyone was in the vicinity. Shocked to the point of completely forgetting about peeing, a dark figure stood across the fence from me.
Surprisingly I wasn't afraid. I stood for a minute, blinking and confused, trying to revisit the normal version of the backyard to see if I was looking at a tree. The figure stood unmoving, dark but tinged with green on the edges. For whatever reason I was convinced that this creature was a dryad. It didn't seem angry or hostile towards but curious towards my presence just as I was to its. After a minute of complete silence, I managed to speak. 'Hi,' I said as normally as possible.
It remained silent, looking at me, even though I couldn't know from looking at it that it even had a face much less eyes. As I stood I don't know if the salvia was wearing off, but I got scared. What if it was the neighbor, I thought.  Still nothing. Finally regaining my composure I zipped my fly back up and began to walk away. As I walked back through the branches that brushed gently on the ground, chills went down my spine as I could feel the creature's eyes staring into me. Eyes that went through more than just my body but to what was I thinking. Uncomfortably I walked back up the stairs to the deck and sat down heavily in my chair, trying to figure out what just happened. All the while knowing that I could never truly explain it, but knowing that it meant something. Something that I still have yet to decipher.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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Hush has been building the first ever open source private messenger service based on Zcash technology. Hush & Komodo not only share core developers, but coinciding views on the importance of independent right to privacy.
Between 09-Jan-20 12:00 AM and 10-Jan-20 12:00 AM
GatewayBOT09-Jan-20 12:47 AM
[dscrd-hush] <Berg> ✈ (Airdrop above) ✈
@here we only need 21 votes to take the lead in this voting contest to be added to a merchant payment processing service with BOTH transparent and shielded transaction capabilities.
Voting is FREE, one vote per user.
https://cryptocurrencycheckout.com/vote
[dscrd-hush] <Pixelised> 12 more votes to get the lead. Come on @everyone!
GatewayBOT09-Jan-20 11:29 AM
[dscrd-hush] <scubapanda> If Hush goes z-address only, atomic swaps will stop working? Is there a plan to somehow allow t-address -transactions for the purpose of atomic swaps? If t-address has to be allowed for this particular purpose, could it be possible to limit the transactions to fixed amounts, like 10, 100, 1000,10k, 100k? This way metadata leakage related to sums might not give away so much information. Or has someone come up with a way to do z-address atomic swaps?
New Listing: we are delighted to announce the listing of $HUSH @MyHushTeam on our P Board!
Trading will open soon
Full Details⬇:
https://t.co/pOB6rG44FR
#Blockchain #Crypto #Newlisting
[dscrd-hush] <dukeleto> @scubapanda zatomicDEX will allow atomicdex to work with zaddrs via a zaddr-enabled CC. jl777 has described the protocol on his blog, but the specifics need to all be worked out
Even I had said that doing atomic swaps on a blockchain with only private transactions is not possible. At first (and second and third)…
[dscrd-hush] <dukeleto> @scubapanda it will utilize zaddr viewkeys and CC's and there will need to be new rules that allow smart contract (CC/Antara) addresses to receive taddr funds, but not normal addresses, which would allow for zaddr atomic swaps. Using fixed amount sizes might happen, JUMBLR did a lot of that too. Using a few fixed amounts helps to prevent analyzing amounts that are unique
[dscrd-hush] <dukeleto> !tip 25 hush @scubapanda
[dscrd-hush] <dukeleto> !tip @scubapanda 25 hush
[dscrd-hush] <tip.cc> :HUSH: @dukeleto sent @scubapanda 25.00 HUSH (≈ $0.97).
[dscrd-hush] <dukeleto> good questions!
[dscrd-hush] <scubapanda> Thank you for the answers and Hush!
GatewayBOT09-Jan-20 12:05 PM
[dscrd-hush] <dukeleto> Sneak preview of the new :SD: market tab with custom fiat currency...
This dudes homework assignment in 1974 became Merkle Trees, fundamental cryptography tech that Git, Mercurial, IPFS, ZFS, Bitcoin, delayed-Proof-of-Work and many other things rely on.
Thanks Ralph!
https://t.co/qb2ih4B8Erhttps://t.co/IqaIFufJoE
[dscrd-hush] <dukeleto> so is anybody putting some orders on Citex? Let us know how it goes
GatewayBOT09-Jan-20 01:29 PM
[dscrd-hush] <denio> @ph03nix wow ty!
[dscrd-hush] <dukeleto> @denio thanks for all that you do
GatewayBOT09-Jan-20 02:34 PM
[dscrd-hush] <dukeleto> I have over 2 dozen local currencies working in :SD: now, including XAU(edited)
[dscrd-hush] <dukeleto> the entire wallet shows data in your "local currency" as well as HUSH
The #HUSH team is pleased to announce the addition of a new exchange #CITEX✨
https://t.co/vcLH9jU8O1
#blockchain #Exchange #privacy #Anonymous
GatewayBOT09-Jan-20 03:01 PM
[dscrd-hush] <dukeleto> !tip 11 random users 55 hush
[dscrd-hush] <tip.cc> :HUSH: @dukeleto sent @Aleksandr Sh, @AndreasG, @denio, @Drakuf, @Dr.Terminus, @LeoKira997, @maleficium, @naxxed, @P3L3, @RingMaster-SatoshiInitiatives and @steb 5.00 HUSH (≈ $0.19) each :cloud_rain:.
Use !tip nomention to stop being pinged by tips.
[dscrd-hush] <dukeleto> enjoy!
GatewayBOT09-Jan-20 05:44 PM
[dscrd-hush] <phm87> @dukeleto if many viewkeys are known about zatomicdex, does it help chain analysis and metadata leaks ?
GatewayBOT09-Jan-20 06:10 PM
[dscrd-hush] <admon> @dukeleto with the update the coins are safe in transparent wallet in silent dragon lite?
[dscrd-hush] <denio> Yes @admon
[dscrd-hush] <admon> thanks
[dscrd-hush] <denio> Safe as your coins are there. Transparent address = no privacy
GatewayBOT09-Jan-20 06:25 PM
[dscrd-hush] <admon> my question is that
[dscrd-hush] <admon> with new mandatory the T adress will dissapear?
[dscrd-hush] <admon> this update include this changes?
GatewayBOT09-Jan-20 06:38 PM
[dscrd-hush] <denio> No @admon the z only update has no set Date atm. It will just happen this year, but it need some time
[dscrd-hush] <Berg> @admon Your transparent address balance will still be available, the only difference is that now you will not be able to send it to another transparent address, only shielded "z" addresses will be able to be sent to
[dscrd-hush] <dukeleto> @phm87 zatomicdex will leak some metadata, there is no other way. Our job is to make it leak as little as possible
GatewayBOT09-Jan-20 08:43 PM
[dscrd-hush] <Berg> @here We are tied for 2nd and only 3 votes from 1st place!
Voting is FREE, and signing up for an account only takes roughly two minutes. Our community is our driving force behind expanding HUSH. Please, if you haven't already, vote for HUSH! This will allow us to integrate to Twitch, YouTube, Shopify, Big Commerce, Woo Commerce, WordPress, etc! This will be a HUGE step forward in the adoption of HUSH as a cryptocurrency
https://cryptocurrencycheckout.com/votehttps://cdn.discordapp.com/attachments/407861562108542988/664932221173497866/unknown.png(edited)