--- layout: post title: Virtual trade is a tough date: 2004-12-21 00:00:00 categories: play social ---
Virtual trade is a tough nut to crack: "The problem, say some virtual world experts, is that many players see the objects they earn or build through countless hours of play as property. And property has value."


Before you can start making better software, you should understand the characteristics of QUALI-T. We strongly recommend to read the help page.
Below you can find a screencast. It can help you to get an idea how to work more performant with QUALI-T. Tip: For better resolution, check it in HD.


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MType
- the type of message for the fieldBType
- the type of builder for the fieldIType
- the common interface for the message and the builderpublic abstract class SingleFieldBuilder<MType extends com.google.protobuf.Message,BType extends com.google.protobuf.Message.Builder,IType extends com.google.protobuf.MessageOrBuilder> extends java.lang.Object implements ProtoInterfaces.BuilderParent, ProtoInterfaces.IFieldBuilder
SingleFieldBuilder
implements a structure that a protocol message uses to hold a single
field of another protocol message. It supports the classical use case of setting an immutable
Message
as the value of the field and is highly optimized around this. Message.Builder
as the field and
deferring conversion of that Builder
to an immutable Message
. In this way, it's
possible to maintain a tree of Builder
's that acts as a fully read/write data structure. SingleFieldBuilder
and
RepeatedFieldBuilder
classes cache messages that were created so that messages only need
to be created when some change occured in its builder or a builder for one of its descendants.SingleFieldBuilder
| Constructor and Description |
|---|
SingleFieldBuilder(MType message,
ProtoInterfaces.BuilderParent parent,
boolean isClean) |
| Modifier and Type | Method and Description |
|---|---|
MType |
build()
Builds the message and returns it.
|
void |
clear()
Clears the value of the field.
|
void |
dispose() |
protected abstract void |
dispose(BType builder) |
BType |
getBuilder()
Gets a builder for the field.
|
MType |
getMessage()
Get the message for the field.
|
IType |
getMessageOrBuilder()
Gets the base class interface for the field.
|
ProtoInterfaces.BuilderParent |
getParent() |
boolean |
isInitialized() |
protected abstract void |
markClean(BType builder) |
void |
markDirty()
A builder becomes dirty whenever a field is modified -- including fields in nested builders
-- and becomes clean when build() is called.
|
SingleFieldBuilder<MType,BType,IType> |
mergeFrom(MType value)
Merges the field from another field.
|
protected abstract BType |
newBuilderForType(com.google.protobuf.Descriptors.Descriptor type,
ProtoInterfaces.BuilderParent parent) |
SingleFieldBuilder<MType,BType,IType> |
setMessage(MType message)
Sets a message for the field replacing any existing value.
|
public SingleFieldBuilder(MType message, ProtoInterfaces.BuilderParent parent, boolean isClean)
protected abstract BType newBuilderForType(com.google.protobuf.Descriptors.Descriptor type, ProtoInterfaces.BuilderParent parent)
protected abstract void markClean(BType builder)
protected abstract void dispose(BType builder)
public ProtoInterfaces.BuilderParent getParent()
getParent
in interface ProtoInterfaces.BuilderParent
public void dispose()
dispose
in interface ProtoInterfaces.IFieldBuilder
public MType getMessage()
Builder
, it is
converted to a Message
by calling Message.Builder#buildPartial
on it. If no
message has been set, returns the default instance of the message.public MType build()
build
in interface ProtoInterfaces.IFieldBuilder
public BType getBuilder()
Message.toBuilder()
.public IType getMessageOrBuilder()
public SingleFieldBuilder<MType,BType,IType> setMessage(MType message)
message
- the message to setpublic SingleFieldBuilder<MType,BType,IType> mergeFrom(MType value)
value
- the value to merge frompublic void clear()
clear
in interface ProtoInterfaces.IFieldBuilder
public void markDirty()
ProtoInterfaces.BuilderParent
markDirty
in interface ProtoInterfaces.BuilderParent
markDirty
in interface ProtoInterfaces.IFieldBuilder
public boolean isInitialized()
isInitialized
in interface ProtoInterfaces.IFieldBuilder


This world-famous historic city need little introduction. In recent years several of the old dock areas along the River Thames have been utilised as marinas. It is possible to sail all the way up the river, with the mast up, as far at Tower Bridge.
For those who wish to take their boat right into the heart of London, there are now several marinas to choose from, several within a relatively short distance of the centre. St Katharine's Dock, right by the Tower of London, is the best known. Only half a mile downstream, there are two marinas, South Dock Marina, on the south shore of the Thames, and Limehouse Basin Marina, on the north shore. The latter is also the home of the Cruising Association, in whose premises visiting sailors are most welcome. Its excellent reference library should make it the natural choice for any cruising sailor.
Further down stream, the new marina at Gravesend is a useful base when approaching or leaving the centre of the Capital, being 23NM from Tower Bridge. Several of the old commercial docks now house yacht marinas too.
It is important to to keep clear of the freight terminal at Canvey, Shellhaven and Coryton and the London Gateway Port Reclamation Area at Thames Haven. This includes the jetties at Thames Haven. (updated May 2009).
Anchoring
Between Gravesend and Tower Bridge there are no recommended anchorages in the river. The strong tides, the commercial traffic and the number of broken piles and other ancient debris along the banks, all form reasons to avoid doing so.


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WITNESS LIST International Relations, Trade & Technology Committee May 14, 1997-1:00P HB 479 For: THORJASSEN, TED (WEST GULF MARITIME ASSN), Houston HB 1391 For: ROMBERG, TOM (TX AIR COND. CONTRACTRS), Austin On: GUNN, DAVID (TX DEPT LIC. & REGUL'N), Austin HB 1898 On: CUELLAR, ROBERT (TX DEPT. OF TRANSPORTN), Austin HB 2025 For: ROMBERG, TOM (TX AIR COND. CONTRACTRS), Austin On: CAUSEY, PAT (TX DEPT LIC. & REGUL'N), Austin HB 3380 On: SLAYTON, JACK L. (TX NATIONAL GUARD), Austin TINSLEY, GLADYS R. (TX NATIONAL GUARD), Austin


What is lolisafe?
lolisafe is an easy to use, open source and completely free file upload service. We accept your files, photos, documents, anything, and give you back a shareable link for you to send to others.
Will you keep my files forever?
Unless we receive a copyright complain or some other bullshit, we will.
How can I keep track of my uploads?
Simply create a user on the site and every upload will be associated with your account, granting you access to your uploaded files through our dashboard.
What are albums?
Albums are a simple way of sorting uploads together. Right now you can create albums through the dashboard and use them only with
our chrome extension which will enable you to
right click -> send to lolisafe or to a desired album if you have any.
Why should I use this?
There are too many file upload services out there, and a lot of them rely on the foundations of pomf which is ancient. In a desperate and unsuccessful attempt of finding a good file uploader that's easily extendable, lolisafe was born. We give you control over your files, we give you a way to sort your uploads into albums for ease of access and we give you an api to use with ShareX or any other thing that let's you make POST requests. Awesome isn't it? Just like you.


nips nips2011 nips2011-256 nips2011-256-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Denis D. Maua, Cassio Campos
Abstract: We present a new algorithm for exactly solving decision-making problems represented as an inﬂuence diagram. We do not require the usual assumptions of no forgetting and regularity, which allows us to solve problems with limited information. The algorithm, which implements a sophisticated variable elimination procedure, is empirically shown to outperform a state-of-the-art algorithm in randomly generated problems of up to 150 variables and 1064 strategies. 1
[1] N. L. Zhang, R. Qi, and D. Poole. A computational theory of decision networks. International Journal of Approximate Reasoning, 11(2):83–158, 1994.
[2] S. L. Lauritzen and D. Nilsson. Representing and solving decision problems with limited information. Management Science, 47:1235–1251, 2001.
[3] P. Poupart and C. Boutilier. Bounded ﬁnite state controllers. In Advances in Neural Information Processing Systems 16 (NIPS), 2003.
[4] A. Detwarasiti and R. D. Shachter. Inﬂuence diagrams for team decision analysis. Decision Analysis, 2(4):207–228, 2005.
[5] C. Amato, D. S. Bernstein, and S. Zilberstein. Optimizing ﬁxed-size stochastic controllers for POMDPs and decentralized POMDPs. Autonomous Agents and Multi-Agent Systems, 21(3):293–320, 2010.
[6] R. A. Howard and J. E. Matheson. Inﬂuence diagrams. In Readings on the Principles and Applications of Decision Analysis, pages 721–762. Strategic Decisions Group, 1984.
[7] J. A. Tatman and R. D. Shachter. Dynamic programming and inﬂuence diagrams. IEEE Transactions on Systems, Man and Cybernetics, 20(2):365–379, 1990.
[8] C. P. de Campos and Q. Ji. Strategy selection in inﬂuence diagrams using imprecise probabilities. In Proceedings of the 24th Conference in Uncertainty in Artiﬁcial Intelligence, pages 121–128, 2008.
[9] D. Koller and N. Friedman. Probabilistic Graphical Models - Principles and Techniques. MIT Press, 2009.
[10] G. F. Cooper. A method for using belief networks as inﬂuence diagrams. Fourth Workshop on Uncertainty in Artiﬁcial Intelligence, 1988.
[11] P. Shenoy and G. Shafer. Axioms for probability and belief-function propagation. In Proceedings of the Fourth Conference on Uncertainty in Artiﬁcial Intelligence, pages 169–198. Elsevier Science, 1988.
[12] J. Kohlas. Information Algebras: Generic Structures for Inference. Springer-Verlag, 2003.
[13] R. Haenni. Ordered valuation algebras: a generic framework for approximating inference. International Journal of Approximate Reasoning, 37(1):1–41, 2004.
[14] H. Fargier, E. Rollon, and N. Wilson. Enabling local computation for partially ordered preferences. Constraints, 15:516–539, 2010.
[15] Ilog Optimization. CPLEX documentation. http://www.ilog.com, 1990. 9


With Chatform, you can design forms and surveys that anyone can fill using their favourite messaging apps, SMS, or web chat.


Lung Cancer Diagnosis Clinical Decision Support System
The purpose of this system is to help doctors diagnose of lung cancer. It supports diagnosis by deep learning based on detection and classification nodules.
My Role
Project Leader
- Design a whole data pipeline
- Implement DICOM-based data preprocessing module
- Design and implement 3D U-net based detection neural network
- Design and implement 3D Resnet based classification neural network
Project Detail
Lung cancer is ranks highly among all causes in death rate. In 2015, 17,399 people were killed by lung cancer in Korea, making up 27.9% of all cancer related deaths. The reason for its high death rate is the lack of an efficient inspection process.
In many cases, a biopsy is taken to confirm whether a patient has lung cancer or not. It, however, should be avoided as much as possible since it is an invasive inspection. Typically a chest computed tomography (CT) is used for biopsy screening, so a radiologist’s ability to read the CT correctly is very important.
To better share experience accumulated over time, decision support system based on AI have been widely adopted in various industrial fields. In the medical domain, the need for a quick and precise diagnosis decision is intensifying. Hence, this kind of system has been researched by many scientists and Medipixel’s lung cancer project is designed to fulfill those needs. We worked jointly with Asan Medical Center and ended up developing the Lung Cancer Diagnosis Clinical Decision Support System.
It has the following advantages
- Detects nodules that can be missed → increased diagnosis accuracy
- Assists doctors to read chest CT scan with ease → increased diagnosis productivity
System Features
The system features are below
- Supports diagnosis process of whether nodule is malignant or benign
- Handles non-small cell lung cancer nodule in the 10mm~30mm range
- Shows the number of nodules and nodule region of interests
- Indicates estimated lung cancer risk percentage
Tasks
I was involved as a project leader who was in charge of designing the overall process and data flow.
I decided to approach this project with a practical view. Since most processes in deep learning system are formulaic, I did not focus on designing a system structure. Making a completely new model was not a focus either. Instead, we put more time into finding a high performance model adopted in the medical domain and improving upon it.
Dataset
One of the most important issues in a deep learning system is how to gather and handle a proper dataset. We utilized several dataset, of hospitals involved with Asan Medical Center and an open dataset like NLST to improve performance of the system. There were some issues with these datasets as follows
- Different data format (especially open data-set)
- Different data modality such as resolution of CT
- Overwhelmingly numerous malignant nodules (more than benign nodules)
- Difficulty with finding completely negative data which did not have any nodule
Preprocess
We had to preprocess a heterogeneous dataset through one pipeline. Basically, it was necessary to reconstruct and normalize from 2d DICOM slices to 3d voxel data. Since this task was expected to take a long time, it had to be done in advance, and the results saved to a hard disk before we could with the proceed regular training process. Main process was as follows.
- Perform 3D reconstruction with a thickness of 1mm
- Set Hounsfield Unit between -1200 and 600
- Normalize each pixel value between 0 and 255
Rather than using the whole voxel data, it was divided into smaller chunks due to GPU memory limitation. This process occurred in the training and inference routines.
Gathering Dataset
To improve performance, we needed to obtain more datasets from various sources. The process of collecting proper data for modeling requires a significant time cost for doctors. Data labeling, especially, requires significant time because it is an arduous task to segment the region of nodule pixel by pixel.
We exerted much effort to help them. To improve efficiency and decrease the time required, we had several meetings with doctors and proposed useful methods such as a nodule segmentation support application and semi-auto segmentation for nodule data.
Deep Learning Networks
During the research period, I realized that an ensemble strategy was efficient to improve whole system accuracy. After many experiments using various models, I tried to find the optimal combination. As a result we decided to use three Deep Neural Network(DNN) networks in the system.
Detection Network
This network detects nodules. It is built based on 3d U-net. Detection network consists of an encoding and decoding network. The nodule’s features are extracted in the encoding network through 3D residual blocks.
Segmentation Network
This network performs segmentation of nodules in each slide based on the results from the detection network. Its second role is to act as a filter for false-positive regions. Our segmentation network takes advantage of the Deeplab-v3+ network whose network structure is shown in figure below
Classification Network
The classification network is responsible for determining the degree of malignancy of candidate nodules. Features of nodules are extracted through the 3D residual network layer, and we made final result from the extracted features.
Practical Technique
I also added a simple preprocess stage before the segmentation network to get rid of nodules in the outer body. This stage was composed of a simple method that checks the largest contour and erodes it. It mapped a candidate nodule region onto 2D slide and examined whether it belongs to the inside of the body. Then any regions outside of the body were removed as false-positives. This method has some advantages over other methods that perform complicated lung-segmentation as follows
- It is much faster than a conventional segmentation method via complex algorithm
- It removes an ordinary lung-segmentation algorithm problem that recognizes a nodule on the wall as outside the lung
- It solves a region segmentation error resulting from different modality such as different CT slide scanner
Strengths of the Structure
Generally, most cancer diagnosis systems have a similar structure. Among these systems, combinations with U-net based detector and classifier are popular. I embedded simple preprocess stage and segmentation network in center of this combination. The network mapped 3d suspicious chunks to 2d CT slice, and, at the same time, performed to segment area in suspicious chunks. In this context, segmentation means scrutinizing and filtering nodules. So, I was able to remove many false positive nodules from the results in the first stage. From those features, the system gained a simple but powerful improvement.
Conclusion
Through interviews, we found that time spent on reading chest CT generally takes about from five to twenty minutes. Our system achieved satisfying results that reduce time to under one minute while maintaining over 90% accuracy.
TSNE result was like below
Patent
[1] Pathological diagnosis method and apparatus based on machine learning KR, P2018-0173475


BAMBOOZLED!!
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Sign in to find out!
(click the button down below and use your Blackbird Google account)
At Normal difficulty you just need to guess their first or last name.
In Beast Mode you have to get their full first and last name, and spelled correctly too!
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|
PolyTycoon
1
UnityTransportTycoontypegame.
|
This interface describes functionality fpr entities that want to transport products from a IProductEmitter to a IProductReceiver. More...
Public Member Functions | |
| ProductStorage | TransportStorage (ProductData productData) |
| The storage of a specified product More... | |
| IEnumerator | Load (TransportRouteElement transportRouteElement) |
| Product loading logic - coroutine More... | |
| IEnumerator | Unload (TransportRouteElement transportRouteElement) |
| Product unloading logic - coroutine More... | |
Properties | |
| int | CurrentCapacity [get] |
| The current amount of products loaded More... | |
| int | MaxCapacity [get, set] |
| The maximum amount of products that can be loaded More... | |
| float | TransferTime [get, set] |
| Time it takes to transfer the TransferAmount of items More... | |
| int | TransferAmount [get, set] |
| Amount of items loaded in one timeslot More... | |
| List< ProductData > | LoadedProducts [get] |
| List of products that are currently in storage More... | |
This interface describes functionality fpr entities that want to transport products from a IProductEmitter to a IProductReceiver.
| IEnumerator ITransport.Load | ( | TransportRouteElement | transportRouteElement | ) |
Product loading logic - coroutine
| transportRouteElement | The current element that contains the TransportRouteSetting |
Implemented in TransportVehicleController.
| ProductStorage ITransport.TransportStorage | ( | ProductData | productData | ) |
The storage of a specified product
| productData | The specified product for getting the associated storage |
Implemented in TransportVehicleController.
| IEnumerator ITransport.Unload | ( | TransportRouteElement | transportRouteElement | ) |
Product unloading logic - coroutine
| transportRouteElement | The current element that contains the TransportRouteSetting. |
Implemented in TransportVehicleController.
|
get |
The current amount of products loaded
|
get |
List of products that are currently in storage
|
getset |
The maximum amount of products that can be loaded
|
getset |
Amount of items loaded in one timeslot
|
getset |
Time it takes to transfer the TransferAmount of items


{% extends "base.html" %} {% load static %} {% block title %}CITI Program Course Instructions{% endblock %} {% block content %}
In order to become a credentialed PhysioNet user and access the restricted-access clinical databases, you must complete a suitable training program in human research subject protections and HIPAA regulations. We recommend the Collaborative Institutional Training Initiative (CITI) Program's “Data or Specimens Only Research” course. Follow the instructions below to access and complete the training course:


Building a Personal Website
12/16/2015
It's a Marathon not a 5K
I had a lot of anxiety building this website. I placed a lot of internal pressure on myself to make this site great. Looking back on it I realize that it was unnecessary because your website is a reflection of who you are, and what you can do in that moment. Due to this you're always going to be changing and making things better. The quicker you come to peace with that idea, the easier it will be to produce content, and embrace the imperfections.
Create a MVP
The first place you should start when creating a website is decide what is your message, and who your audience is. For me, I wanted a website that showcased my technical capabilites and writing skills. Secondly, decide what type of pages your site will have. Then sketch out a very simple design for each page. This way as you start to build out your website you will have a visual reference.
You Don't Need a Domain to have a Site
It's very easy to feel like oh well I don't have a personal domain so I can't build my own website. That's simply untrue. Especially during the MVP phase of your site it's perfectly ok to utilize github pages or some other similar site. The most important part is getting your site fleshed out. Later on if you want to buy your own personal domain you can.
Rome wasn't built in a day
It's easy to feel like you have to make everything perfect before you share your site with others. One way to get around this is to place a coming soon sign on your unfinshed pages. If your concerned about how it will look you can pick out a nice picture to act as a background image, and then place fancy text over it.
Use this as a Learning Opportunity
If you're a aspiring web developer like me building your own website is a perfect opportunity to get more practice writing code. So use this opportunity to experiment with different languages or frameworks you want to learn. For me I wanted to get some practice with bootstrap.
Now that you have a handy guide to get started, go forth and merry coding.


| Job Title | Location | View More |
|---|---|---|
| Junior QA Specialist | Sofia | View Details |
| Junior QA Specialist | Tarnovo | View Details |
| Senior .NET Developer | Sofia | View Details |
| Senior .NET Developer | Varna | View Details |
| Senior .NET Developer | Plovdiv | View Details |
| Front-End Developer | Sofia | View Details |


Michael Buble becomes latest Canadian star to get waxed at Madame Tussauds
by David Friend, The Canadian PressTORONTO -- Michael Buble's suave likeness is headed for the halls of wax infamy alongside British royalty.
The Canadian pop crooner took to social media to announce he's being replicated at Madame Tussauds wax museum in London.
He'll be in good company at the tourist hotspot, which already houses wax versions of Ed Sheeran, Jamaican sprinter Usain Bolt and members of the Royal Family.
Buble's duplicate makes its debut in December -- timing that couldn't be any better for the singer who's become synonymous with the holiday season.
But what he'll look like remains a mystery. A representative for the museum says they're keeping the figure under wraps for now.
In the video announcement, Buble revealed the news while his one-year-old daughter could be heard crying in the background.
"You can probably hear my kid screaming," he said with a laugh.
"This is one of those points where I wish there could be two of me, and luckily there is."
Buble joins a number of other Canadian musicians who've been recreated at Tussauds this year.
Madame Tussauds Las Vegas introduced a wax version of Drake posing in a recreation of his "Hotline Bling" music video.
Shawn Mendes was added to the Berlin location lying barefoot on the ground so visitors could snuggle beside him for a photograph.
This report by The Canadian Press was first published Nov. 15, 2019.


| Figure 1 |
Conceptual model of the direct and indirect effects of eleva ... |
| Figure 2 |
Localities ( n = 60) of fossil specimens in North America t ... |
| Figure 3 |
Standard metrics on a typical fossil calcaneum from a Bison ... |
| Figure 4 |
Average body size of fossil bison measured as calcaneal leng ... |
| Figure 5 |
Sequence of Greenland mean annual temperature (°C derived fr ... |
| Figure 6 |
Relationship between estimated body mass (kg; ± SE ) and the ... |


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- Call anytime for immediate assistance and First Responders Restoration will be on the job ASAP.
- First Responders Restoration professionals have the tools and experience to handle your restoration, renovation or reconstruction project.
- First Responders Restoration is fully bonded and insured to work on your property.
- First Responders Restoration works with all major insurance companies.
- First Responders Restoration is a responsible company in our community.
If you have damage, the biggest problem facing your family or business is the disruption of your daily routine. The objective at this point is to clean up the mess, make repairs and get life back to normal. The key to minimizing this disruption is to select a professional property restoration company specializing in the quality restoration of residential and commercial properties. At Response Team 1, we understand the disruption of your life caused by fire, water, wind or other disasters. We work with your insurance company to provide quick quality restoration of your property
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EMERGENCY DISASTER SERVICES
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EMERGENCY DISASTER SERVICES
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@ask_aristarchus @BenarrochDaniel the Komodo project votes every year on our 64 notary nodes, all $KMD holders are airdropped VOTE tokens in a 1:1 ratio every year and given a custom wallet app to vote with. Komodo has been doing voting a long time and Zcash community coul...


scaladoc
– Documentation generator for the Scala 2 language
scaladoc
[ <options> ] <source files>
<options>
<source files>
MyClass.scala
).
The scaladoc
tool reads class and object definitions, written in the Scala 2 programming language, and generates their API as HTML files.
By default, the generator puts each HTML file in the same directory as its source file. You can specify a separate destination directory with –d
(see OPTIONS, below).
The recognised format of comments in source is described in the online documentation
–d <directory>
–version
–help
–doc-title <title>
–doc-version <version>
–doc-source-url <url>
–verbose
–deprecation
off
(accepted values are: on
, off
, yes
and no
)
–classpath <path>
"boot"
) search path.
CLASSPATH
variable or using the -classpath
command-line option overrides that default, so if you want to include the current directory in the search path, you must include "."
in the new settings.
–sourcepath <path>
–bootclasspath <path>
scala.List
").–extdirs <dirs>
–encoding <encoding>
"UTF8"
, Windows: "Cp1252"
). Executing the following code in the Scala interpreter will return the default value on your system:
scala>
new java.io.InputStreamReader(System.in).getEncoding
scaladoc
returns a zero exist status if it succeeds to process the specified input files. Non zero is returned in case of failure.
This version of Scaladoc was written by Gilles Dubochet with contributions by Pedro Furlanetto and Johannes Rudolph. It is based on the original Scaladoc (Sean McDirmid, Geoffrey Washburn, Vincent Cremet and St?phane Michleoud), on vScaladoc (David Bernard), as well as on an unreleased version of Scaladoc 2 (Manohar Jonnalagedda).
fsc(1), sbaz(1), scala(1), scalac(1), scalap(1)


Input fields with float labels greatly improve the usability of Forms. The user focuses the input and does not lose the context of the field.
<mat-form-field>
<input matInput>
</mat-form-field>
| Name | Type | Description | Default Value |
|---|---|---|---|
align |
"start" | "end" |
The alignment of the input or textarea . |
"start" |
dividerColor |
"primary" | "accent" | "warn" |
The color of the placeholder and underline. | "primary" |
floatingPlaceholder |
boolean |
Whether the placeholder should float above the input after text is entered. | true |
hintLabel |
string |
The hint text to show on the start end of the mat-form-field |
null |
Switches toggle the state of a single settings option. The option that the switch controls, as well as the state it’s in, should be made clear from the corresponding inline label.
<mat-slide-toggle>
Switch
</mat-slide-toggle>
| Name | Type | Description | Default Value |
|---|---|---|---|
disabled |
boolean |
Disables the switch |
false |
color |
"primary" | "accent" | "warn" |
The color palette of the switch |
"accent" |
checked |
boolean |
Sets the value of the switch |
false |
Checkboxes allow the user to select multiple options from a set. If you have multiple options appearing in a list, you can preserve space by using checkboxes instead of switches.
<mat-checkbox>
Checkbox
</mat-checkbox>
| Name | Type | Description | Default Value |
|---|---|---|---|
disabled |
boolean |
Disables the checkbox |
false |
color |
"primary" | "accent" | "warn" |
The color palette of the checkbox |
"accent" |
checked |
boolean |
Sets the value of the checkbox |
false |
Selects should be used when there is a great variety of options to choose from.
<mat-select>
<mat-option>Option 1</mat-option>
<mat-option>Option 2</mat-option>
</mat-select>
| Name | Type | Description | Default Value |
|---|---|---|---|
disabled |
boolean |
Disables the checkbox |
false |
color |
"primary" | "accent" | "warn" |
The color palette of the checkbox |
"accent" |


Manchester City vs Chelsea: Live Streaming, When And Where To Watch
Lampard, who spent a season playing for Manchester City after leaving Chelsea, takes his young side to the Etihad for his first visit as a manager.
by NDTVSportsManchester City look to get their Premier League title challenge back on track against Chelsea. City, licking their wounds after their 3-1 defeat by Liverpool earlier this month, host Frank Lampard's Chelsea, who are one point above them in the table, eight points behind Jurgen Klopp's side. Leicester, in second place, ahead of Chelsea on goal difference, travel to England's south coast to take on Brighton. Lampard, who spent a season playing for Manchester City after leaving Chelsea, takes his young side to the Etihad for his first visit as a manager. Pep Guardiola's side host Chelsea in the unusual position of being fourth in the table, a point and place below the visitors, who have had six successive league wins. Chelsea will also be eager to gain revenge for their 6-0 mauling by City last season -- their biggest-ever Premier League defeat.
When is the Manchester City vs Chelsea Premier League match?
The Manchester City vs Chelsea Premier League match will be played on November 23, 2019.
Where will the Manchester City vs Chelsea Premier League match will be played?
The Manchester City vs Chelsea Premier League match will be played at Etihad Stadium.
What time does the Manchester City vs Chelsea Premier League match begin?
The Manchester City vs Chelsea Premier League match will start at 11:00 PM IST.
Which TV channels will broadcast the Manchester City vs Chelsea Premier League match?
The Manchester City vs Chelsea Premier League match will be telecasted on the Star Sports Network.
How do I watch live streaming of the Manchester City vs Chelsea Premier League match?
The live streaming of the Manchester City vs Chelsea Premier League match will be available on Hotstar.
(All telecast and streaming timings are as per the information received from the host broadcasters)


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Streaming March 10, 2018 at 7:00PM (EST)
Streamed on March 3, 2018
Streamed on February 24, 2018
Streamed on February 18, 2018
Streamed on February 17, 2018
Streamed on February 10, 2018
Streamed on February 3, 2018


An hour’s pick n’ mix of sweet and salty treats: there’s recent funk oddities to taste at the top of the bag a few, disco lollipops in the middle, but dig a little deeper and you’ll find some headier, psychedelic morsels...
Tracklist
Jules Etienne - Dude’s Den
Jura Soundsystem - Udaberri Blues
Gooch - Sterjen
Dawn Again & Rothmans - Timeless Odyssey
Fred Everything - Barbarella (7am in Tisno Dub)
James Booth - Roller Chrome
Cya - Somethin’ Sanctified
Biodive - 40 Now
Luminodisco - Oh Mary (Torske’s Lange Kleggsommer Dub)
Mildlife - How Long Does it Take? (Baldelli & Diongi Remix)
Autarkic - Treble Rebel
The Juan Maclean - Everywhere at Once


Here is the link to chat:
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When checked, then text is not selectable on the music and notes are draggable. You can
also navigate through the music with the tab key, and change notes with the up and down arrows. When not checked, then items are selectable, but not draggable.
When this is checked, nearly every visible thing is selectable. When it is not checked, then only
the notes, rests, and measures are selectable.


Primary nation. Scale is one hex to five miles.
FrG == inhospitable area.
Temple at the north center in the desert is marked as "Planer Bridge"
Split into multiple city states with a federation and senate. Have a govenor who is either elected or heridtary. King over whole senate, heridatary.
Top center hex.
Replaced old Paxton.
Ancient city of dwarves, abandoned after dragon attacked. Has dragon there. Maybe organize disposal team through the organization?
Center hub for transportation. Location of Rookie Bowl. Economy is focused around the arena. Recently got voting seat in senate. Can just take the tunnel instead of mountain pass. Falcesque is an interesting place to get stuff.
Path to mountains off of map to west.
Have silent monks.
Part of Dawn Order. Who they follow is pretty variable. All generally study, structure, and maintain order.
Sword was created when dude destroyed sword after drunken rampange. Monks weren't there, everything was destroyed. Adventurer was here when that happened. Not sure how reliable his memory is.
Meddle behind the scenes, have ninjas. Karin was one of those ninjas. Seems to make people forget. Nari was in charge of her.
Centered in Kilead
Has a lead for the cure to vampirism.
All of bad souls end up in material if not connected. Get downed souls.
Normal plane.
Criminals cast down there when they die.
Contracts, deals for more power. Lawyers and corrupt politicians.
Heroes.
Best of the best.
Forces of Heaven constantly fighting Abyss trying to get them to stay there.
Temple in center of map.
Dawnbringer is the leader. Showed up 6 months ago. Showed up in Kilead.
Interesting group.
Dwarves, elves, mostly humans, and halflings.
People in photo stopped most recent invasion. Coming up from the Abyss, tormented afterlife. Planar bridge. Demon Lord attempted to lead this invasion. Forced to kill before they could get information.
Five planes of existence.
Another one was 500 years ago.
Have nobles and fancy stuff, hard to get in.
Probably familiar with demons.
Two individuals with wings, but have been slashed out.  Aumiaday.
On right, group of paladins. Three paladins in total, one is an antipaladin. All holding a scythe in the air.
Dwarf with big shield and hammer on it.
Young fighter, human.
Noblewoman.
Hooded monk standing alongside them.
Behind paladins, one not paying attention with cleric sash and colonel sander's on shield.
Female fighter in center.

Intruders came two years ago and destroyed picture. In front of planar bridge.


{% extends "layout.html" %} {% block page_title %} Money Claims Prototype {% endblock %} {% block proposition_header %} {% include "includes/propositional_navigation.html" %} {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} Back Using an expert in small claims It's rare for judges to allow you to use an expert in a small claim. You must ask for permission to use an expert. A judge will then decide whether the expert is necessary and the cost is reasonable. When an expert is allowed A judge will only allow you to use an expert if they believe they need the expert's specialist knowledge to rule on the claim. For example, they might allow a structural engineer to be used in a claim about building works or a mechanic in a claim about car repairs. If a judge allows you to use an expert, you'll usually have to share one expert with the {% if data['party'] == 'defendant' %}claimant{% else %}defendant{% endif %}. The expert will provide a written report - they won't come to court in person. Paying for the expert You and the {% if data['party'] == 'defendant' %}claimant{% else %}defendant{% endif %} share the cost of hiring the expert. If you win the case you may be able to recover up to £750 of this cost. A judge will rule on this at the end of the hearing. If you get permission to use an expert First, you and {% if data['party'] == 'defendant' %}the claimant{% else %}the defendant{% endif %} need to follow these steps: Make a list of 3 independent experts who can provide a written report in return for a fee. Avoid discussing the case in detail with the 3 experts. Tell the court the names and costs of the 3 experts. {% if data['party'] == 'defendant' %}You then pick{% else %}The defendant then picks{% endif %} one expert from the list. After that, both of you need to follow these steps: Provide questions for the expert to answer in a report. Pay the expert, sharing the cost equally. Finally, {% if data['party'] == 'defendant' %}the claimant needs{% else %}you need{% endif %} to: Upload the expert's report. Send the expert any questions either of you have about the report. Upload the expert's response. {% include 'prototypes/prototype-mar-2019/includes/contact.html' %} {% endblock %}
It's rare for judges to allow you to use an expert in a small claim.
You must ask for permission to use an expert. A judge will then decide whether the expert is necessary and the cost is reasonable.
A judge will only allow you to use an expert if they believe they need the expert's specialist knowledge to rule on the claim.
For example, they might allow a structural engineer to be used in a claim about building works or a mechanic in a claim about car repairs.
If a judge allows you to use an expert, you'll usually have to share one expert with the {% if data['party'] == 'defendant' %}claimant{% else %}defendant{% endif %}.
The expert will provide a written report - they won't come to court in person.
You and the {% if data['party'] == 'defendant' %}claimant{% else %}defendant{% endif %} share the cost of hiring the expert.
If you win the case you may be able to recover up to £750 of this cost. A judge will rule on this at the end of the hearing.
First, you and {% if data['party'] == 'defendant' %}the claimant{% else %}the defendant{% endif %} need to follow these steps:
{% if data['party'] == 'defendant' %}You then pick{% else %}The defendant then picks{% endif %} one expert from the list. After that, both of you need to follow these steps:
Finally, {% if data['party'] == 'defendant' %}the claimant needs{% else %}you need{% endif %} to:


Class
BlastIOContextAn object that holds file global information and buffers for BlastIO
| Defined in | <seqan/blast.h> |
|---|---|
| Signature |
template <typename TScore_ = Blosum62,
BlastProgram p = BlastProgram::UNKNOWN, BlastTabularSpec h = BlastTabularSpec::UNKNOWN>
struct BlastIOContext { ... };
|
Template Parameters
TScore |
Type of the Score object used. |
|---|---|
p |
BlastProgram as compile-time parameter. |
h |
BlastTabularSpec as compile-time parameter. |
Member Variable Overview
-
BlastProgramSelector BlastIOContext::blastProgram
The BlastProgram. -
StringSet<TString> BlastIOContext::conformancyErrors
Holds non fatal error messages when reading from BlastTabularFileIn. -
TString BlastIOContext::dbName
Name of the dabase or path to the file. -
uint64_t BlastIOContext::dbNumberOfSeqs
Number of sequences in the database. -
uint64_t BlastIOContext::dbTotalLength
Summed up sequence length of the database. -
std::vector<BlastMatchField::Enum> BlastIOContext::fields
The fields (types of columns) in BlastTabular-formats. -
StringSet<TString> BlastIOContext::fieldsAsStrings
The fields (types of columns) in BlastTabular-formats, but as uninterpreted strings. -
bool BlastIOContext::ignoreFieldsInComments
Use fields as in-parameter for readRecord as well (only BlastTabularFileIn). -
bool BlastIOContext::legacyFormat
Whether to use the legacy format (only BlastTabular). -
StringSet<TString> BlastIOContext::otherLines
A StringSet that will contain all comment lines that could not be interpreted in another way (only BlastTabularFileIn). -
BlastScoringScheme<TScore> BlastIOContext::scoringScheme
The BlastScoringScheme. -
BlastTabularSpecSelector BlastIOContext::tabularSpec
The BlastTabularSpec. -
TString BlastIOContext::versionString
The blast version string.
Detailed Description
This is a part of the Blast formatted files. Before writing, some of the context's members should be set; after reading it will contain all information from the file that did not belong to a BlastRecord, e.g. the name of the database. It also contains buffers for internal use.
You should re-use this object (i.e. only create it once for every file that you read/write). And you don't need to and should not clear() this, except when restarting IO on a different file.
To speed-up file writing slightly you can set the value template parameters p and/or h to something other than ::DYNAMIC at compile-time (e.g. if you know that you will be printing only BLASTX), but then you won't be able to modify these values at run-time. For file reading this is also possible, but usually the added flexibility of automatically detecting these values is prefferable.
If not explicitly stated otherwise, the member variables are out-parameters of readHeader(), readRecord() and readFooter(), i.e. they are set by these functions; and they are in-parameters to writeHeader(), writeRecord() and writeFooter(), i.e. they influence these functions' output.
See BlastTabularFileOut and BlastReportFileOut for more complete examples of usage.
Member Variables Detail
BlastProgramSelector BlastIOContext::blastProgram
Remarks
Behaves exactly like an enum of type BlastProgram, unless the second template parameter was specified to make this a compile-time constant. See BlastProgramSelector for more information.
StringSet<TString> BlastIOContext::conformancyErrors
Remarks
After doing a readRecord this will indicate whether the comment lines contained non-fatal parse errors, usually the result of a file written by a sloppy blast implementation or possibly a bug in SeqAn. An empty StringSet indicates that all is good.
TString BlastIOContext::dbName
uint64_t BlastIOContext::dbNumberOfSeqs
uint64_t BlastIOContext::dbTotalLength
std::vector<BlastMatchField::Enum> BlastIOContext::fields
Remarks
This is an out-parameter for:
This is an in-parameter for:
Setting ignoreFieldsInComments will make this variable be an in-parameter for the first case, as well. This variable is ignored in the legacy formats and for non-tabular formats.
StringSet<TString> BlastIOContext::fieldsAsStrings
Remarks
Useful when the comment lines do not conform to standards and you want to extract the verbatim column labels or if you wish to print non-standard column labels (which you shouldn't!).
bool BlastIOContext::ignoreFieldsInComments
Remarks
See readRecord. Use this when the comment lines do not conform to standards (and the fields can't be read), but you know that the matches are in the given, e.g. default format.
bool BlastIOContext::legacyFormat
Remarks
Setting this flag when writing to a BlastTabularFileOut (that has BlastTabularSpec::COMMENTS set) will result in the legacy version of the comments being written. In the legacy format the mismatches column also includes all gaps in addition to mismatches. Note that many other features like custom fields are not supported in this format.
When reading BlastTabularFileOut this flag will automatically be set based on the comments (if a they exist).
StringSet<TString> BlastIOContext::otherLines
BlastScoringScheme<TScore> BlastIOContext::scoringScheme
BlastTabularSpecSelector BlastIOContext::tabularSpec
Remarks
Behaves exactly like an enum of type BlastTabularSpec, unless the third template parameter was specified to make this a compile-time constant. See BlastTabularSpecSelector for more information.
TString BlastIOContext::versionString
Remarks
Used when writing BlastReportFileOut and BlastTabularFileOut if the context's tabularSpec is set to BlastTabularSpec::COMMENTS. Defaults to a version string based on the emulated blast version and the current SeqAn version. When reading from BlastTabularFileOut the corresponding line is extracted from the comment lines (if present).


Transcriptions by Date for all of NFN
Transcriptions by Date for all of NFN, by project
Transcriptions by Collection Date for all of NFN
Records by Collection Date for all of iDigBio


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Local Weather Page
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| Fig 1 |
Maps of projected species richness. Avian assemblage for cur ... |
| Fig 2 |
Potential climate change effects on forecasted occurrence ar ... |
| Fig 3 |
Potential change in mean area per trophic guild. Mean area f ... |
| Fig 4 |
Percentage of species predicted to disappear in each protect ... |
| Fig 5 |
Potential climatically stable areas for conservation actions ... |


Over 6000 arrests in Hong Kong protests, 16,000 tear gas rounds fired
Police also arrested 12 people on Monday suspected of preparing gasoline bombs
by AP | PTIHong Kong police say they have made 6,022 arrests and fired nearly 16,000 tear gas rounds during six months of anti-government protests that have shaken the city.
Police say the arrests included 11 people detained in raids over the weekend that netted a pistol and other weapons. Police suspect the weapons were intended for use during a demonstration attended by hundreds of thousands of peaceful marchers on Sunday.
Police also arrested 12 people on Monday suspected of preparing gasoline bombs.
Police said they have also fired 10,000 rubber baton rounds during the six months of protests and that 493 officers have been injured.


Just doing some code to learn and test ES6.
Doing a form and on submit, it will be printed on to the site.
Just doing some code to learn and test ES6.
Doing a form and on submit, it will be printed on to the site.


This is a project by Luca Chiarandini, Eduardo Graells-Garrido, and Diego Sáez-Trumper. We are a group
of friends who participated in the EU Hackathon 2016 to contribute to the copyright discussion and
understanding by using visualization and text analysis techniques. Check our Github repository to see
all the code that made this site possible!


Navigation
Content in this area is related to the navigation of your application.
It will usually control what is loaded/displayed in the other two sections of the application.
It will remain the left most, or top section as the viewport is made smaller.
This section could also be hidden at the smallest viewport and replaced with an off-canvas pullout style of feature.
To change the content of this section, you will make edits to the navContent.html file located in the /js/views folder.


WebDev Assessment
This is the assessment. It is both objective and subjective.
The goals of this assessment are to get a general understanding of your skill
level, attention to detail, and understanding of the web.
Requirements
Replicate this mockup (yes, the assessment instructions) in HTML/CSS/JavaScript
as closely as possible.
Use HTML5.
Use the "Titillium Web" font.
Clicking "Submit!" should create an alert with jQuery
The contents of the alert should contain the answer to, "How old is Bobby if, in
4 years, he will be 3 times as old as he is today?"
Guidelines
Demonstrate knowledge of HTML5
Demonstrate knowledge of efficient CSS
Demonstrate knowledge of the DOM
Demonstrate knowledge of jQuery
Demonstrate knowledge of version control
Use performant and secure methods
Submit!
Using git or git-svn, submit a Github pull request to the original repository
for our review. If you are not able to submit a pull request, email us your
zipped project.


Scrolls through the sheets in a workbook.
Syntax
WORKBOOK.SCROLL(num_sheets, firstlast_logical)
Num_sheets. is a number specifying how many sheets to scroll and the direction of scrolling. Positive numbers scroll forward by that many sheets. Negative numbers scroll backward by that many sheets. Zero (0) does not scroll.
Firstlast_logical specifies whether to scroll to the first or last sheet in the workbook. If TRUE, scrolls to the last sheet in the workbook. If FALSE, scrolls to the first sheet in the workbook. If this argument is specified, then num_sheets is ignored.
Return to index


Computation times#
218:04.138 total execution time for gyexamples files:
When to parallelize? ( |
64:20.979 |
0.0 MB |
Benchmark Random Forests, Tree Ensemble ( |
39:30.091 |
0.0 MB |
TreeEnsembleRegressor and parallelisation ( |
26:50.880 |
0.0 MB |
TopK benchmark ( |
19:48.620 |
0.0 MB |
Compares implementations of Add ( |
09:45.707 |
0.0 MB |
Compares implementations of Einsum ( |
08:46.672 |
0.0 MB |
Benchmark Random Forests, Tree Ensemble, (AoS and SoA) ( |
07:03.140 |
0.0 MB |
Compares implementations of ReduceSum ( |
06:08.070 |
0.0 MB |
Compares implementations of Tranpose ( |
05:54.786 |
0.0 MB |
Measure ONNX runtime performances ( |
05:29.977 |
0.0 MB |
Benchmark Random Forests, Tree Ensemble, Multi-Classification ( |
05:08.492 |
0.0 MB |
Compares implementations of ReduceMean ( |
03:46.734 |
0.0 MB |
Compares implementations of ReduceMax ( |
03:36.816 |
0.0 MB |
Compares implementations of ReduceSumSquare ( |
03:27.433 |
0.0 MB |
Speed up scikit-learn inference with ONNX ( |
02:31.004 |
0.0 MB |
Profile the execution of a runtime ( |
02:00.414 |
0.0 MB |
Compares numba, numpy, onnxruntime for simple functions ( |
01:56.999 |
0.0 MB |
Compares implementations of Where ( |
01:38.319 |
0.0 MB |
Benchmark Linear Regression ( |
00:14.217 |
0.0 MB |
Merges benchmarks ( |
00:03.784 |
0.0 MB |
Grid search ONNX models ( |
00:00.907 |
0.0 MB |
Conversion of a logistic regression into C ( |
00:00.097 |
0.0 MB |


Our mission is to free people from tedious tasks outdoors. To do this, we are beginning with collaborative robots that help farm laborers work more productively, while also laying the base for ever more expansive autonomy where it is needed most. Our launch product, Burro, is a vision-based autonomous platform being used today by growers of table grapes, blueberries, and nursery crops.
As a full stack company, sitting at the nexus of hardware/robotics, autonomy, and artificial intelligence, we are launching the first generation of robots into the world's largest industry - agriculture, and solving the #1 challenge facing our food system - labor scarcity.
We are venture-backed by leading investors in California, Chicago, and New York, and based in Philadelphia, PA. We are looking for incredible people who share our passion for real-world robotics, and want to be part of a fast-moving and highly execution-oriented team. As an early member of our team, you will hold meaningful equity and contribute directly to our continued success and culture.


Loan Prediction Form
Please enter your details below:
Gender
Male
Female
Marital Status
No
Yes
Dependents
0
1
2
3+
Education
Graduate
No Graduate
Self_Employed
No
Yes
ApplicantIncome
btw:[0-99999]
CoapplicantIncome
btw:[0-99999]
LoanAmount
btw:[0-9999]
Loan_Amount_Term
btw:[0-600]
Credit_History
0
1
Property_Area
Semiurban
Urban
Rural
Predict
{{ prediction_text }}


[CHAPTER 557A]
UNIFORM PRINCIPAL AND INCOME ACT
Law Journals and Reviews
Trustee v. Beneficiary. 15 HBJ, no. 13, at 145 (2013).
Promoting Trustee Adherence to the Fiduciary Duty of Impartiality: A Case for Enacting Unitrust Conversion Statutes in Conjunction with Equitable Adjustment Statutes. 28 UH L. Rev. 105 (2005).
ARTICLE 1. DEFINITIONS AND FIDUCIARY DUTIES
Section
557A-101 Short title
557A-102 Definitions
557A-103 Fiduciary duties; general principles
557A-104 Trustee's power to adjust
557A-105 Notice of proposed action
557A-106 Proceedings regarding trustee's power to adjust
ARTICLE 2. DECEDENT'S ESTATE OR TERMINATING
INCOME INTEREST
557A-201 Determination and distribution of net income
557A-202 Distribution to residuary and remainder
beneficiaries
ARTICLE 3. APPORTIONMENT AT BEGINNING AND END
OF INCOME INTEREST
557A-301 When right to income begins and ends
557A-302 Apportionment of receipts and disbursements when
decedent dies or income interest begins
557A-303 Apportionment when income interest ends
ARTICLE 4. ALLOCATION OF RECEIPTS DURING
ADMINISTRATION OF TRUST
Part I. Receipts from Entities
557A-401 Character of receipts
557A-402 Distribution from trust or estate
557A-403 Business and other activities conducted by trustee
Part II. Receipts Not Normally Apportioned
557A-404 Principal receipts
557A-405 Rental property
557A-406 Obligation to pay money
557A-407 Insurance policies and similar contracts
Part III. Receipts Normally Apportioned
557A-408 Insubstantial allocations not required
557A-409 Deferred compensation, annuities, and similar
payments
557A-410 Liquidating asset
557A-411 Minerals, water, and other natural resources
557A-412 Timber
557A-413 Property not productive of income
557A-414 Derivatives and options
557A-415 Asset-backed securities
ARTICLE 5. ALLOCATION OF DISBURSEMENTS DURING
ADMINISTRATION OF TRUST
557A-501 Disbursements from income
557A-502 Disbursements from principal
557A-503 Transfers from income to principal for depreciation
557A-504 Transfers from income to reimburse principal
557A-505 Income taxes
557A-506 Adjustments between principal and income because of
taxes


Yellow fever in Nigeria: 150 deaths in 2019
by News DeskBy NewsDesk @infectiousdiseasenews
The World Health Organization says the outbreak of yellow fever which started in Nigeria in September
2017 is ongoing.
This year, an upsurge of yellow fever cases has been reported since August in six states and then began a decrease in late September.
Since the beginning of the year, a total of 3,620 suspected yellow fever cases have been reported in
588 LGAs from 36 states and the FCT with 144 cases being confirmed.
One hundred and fifty deaths have been reported among all yellow fever cases and 11 deaths among confirmed cases from Bauchi (7) and Ebonyi (4). This resulted in a case fatality ratio of4.1% among suspected cases and 7.6% among confirmed cases.
The Nigeria Centre for Disease Control (NCDC) activated a national Emergency Operations Centre (EOC) on the 5 November 2019 to ensure a well-coordinated response and quick control of the outbreak.
Yellow fever reactive mass vaccination campaigns (RMVC) have been implemented in LGAs in the following states: Edo (5), Ebonyi (3), Ondo (7), Delta (1), Benue (3), Cross River (1), Bauchi (1). The 2019 phase 3 preventive mass vaccination campaign in Katsina State has been completed.
amzn_assoc_placement = "adunit0"; amzn_assoc_tracking_id = "outbre-20"; amzn_assoc_ad_mode = "manual"; amzn_assoc_ad_type = "smart"; amzn_assoc_marketplace = "amazon"; amzn_assoc_region = "US"; amzn_assoc_linkid = "bfe983c962037af962f43271e4404ef6"; amzn_assoc_design = "in_content"; amzn_assoc_title = "Paid links"; amzn_assoc_asins = "0547746245,0807135615";
- Dengue in Pakistan: Outbreak closes in on 50K cases
- Chikungunya vaccine: Valneva reports excellent final Phase 1 results
- Australia: Measles alert issued in Illawarra, NSW
- Angola reports dozens of polio cases in 2019
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Ireland Confirm Matchday Squad For Crucial Qualifier With Denmark
by Sean McMahonThe Republic of Ireland have confirmed their matchday squad for tonight’s crucial Euro 2020 qualifier with Denmark.
The Boys In Green know that if they secure a win tonight they will secure a spot in next summer’s European Championships while a loss will see Mick McCarthy’s side go through to the Nations League playoffs as the final opportunity to clinch a berth.
The matchday squad has been confirmed for tonight’s match which includes Troy Parrott and Jack Byrne although whether McCarthy opts to include the duo who performed very well against New Zealand is another question.
Ireland Matchday Squad v Denmark
Goalkeepers: Darren Randolph, Kieran O’Hara, Mark Travers.
Defenders: Matt Doherty, Shane Duffy (c), Kevin Long, John Egan, Ciaran Clark, Enda Stevens.
Midfielders: Alan Browne, Josh Cullen, Jeff Hendrick, Glenn Whelan, Conor Hourihane, James McClean, Jack Byrne, Robbie Brady.
Forwards: Callum Robinson, Troy Parrott, David McGoldrick, James Collins, Sean Maguire, Alan Judge.
What starting XI do you think McCarthy will select for tonight?


Full Table of Contents
Designing the User Interface, 6th Edition
Part I: Introduction
Chapter 1: Usability of Interactive Systems
1.1 Introduction
1.2 Usability Goals and Measures
1.3 Usability Motivations
1.4 Goals for Our Profession
Chapter 2: Universal Usability
2.1 Introduction
2.2 Variations in physical abilities &physical workplaces
2.3 Diverse cognitive and perceptual abilities
2.4 Personality differences
2.5 Cultural and international diversity
2.6 Users with disabilities
2.7 Older adult users
2.8 Children
2.9 Accommodating hardware and software diversity
Chapter 3: Guidelines, Principles, and Theories
3.1 Introduction
3.2 Guidelines
3.3 Principles
3.4 Theories
Part II: Design Processes
Chapter 4: Design
4.1 Introduction
4.2 Organizational Support for Design
4.3 The Design Process
4.4 Design Frameworks
4.5 Design Methods
4.6 Design Tools, Practices, and Patterns
4.7 Social Impact Analysis
4.8 Legal Issues
Chapter 5: Evaluation and the User Experience
5.1 Introduction
5.2 Expert Reviews and Heuristics
5.3 Usability Testing and Laboratories
5.4 Survey Instruments
5.5 Acceptance Tests
5.6 Evaluation During Active Use and Beyond
5.7 Controlled Psychologically Oriented Experiments
Chapter 6: Design Case Studies
6.2 Case Study 1: Iterative Design Evaluation of Automated Teller Machines (ATMs)
6.3 Case Study 2: Design Consistency at Apple Computer
6.4 Case Study 3: Data-Driven Design at Volvo
6.5 General Observations and Summary
Part III: Interaction Styles
Chapter 7: Direct Manipulation and Immersive Environments
7.1 Introduction
7.2 What is Direct Manipulation?
7.3 Some examples of Direct Manipulation
7.4 2D and 3D Interfaces
7.5 Teleoperation and Presence
7.6 Augmented and Virtual Augmented Reality
Chapter 8: Fluid Navigation
8.1 Introduction
8.2 Navigation by selection
8.3 Small displays
8.4 Content Organization
8.5 Audio menus
8.6 Form fill-in and dialog boxes
Chapter 9: Expressive Human and Command Languages
9.1 Introduction
9.2 Speech recognition
9.3 Speech production
9.4 Human language technology
9.5 Traditional command languages
Chapter 10: Devices
10.1 Introduction
10.2 Keyboards and Keypads
10.3 Pointing Devices
10.4 Displays
Chapter 11: Communication and Collaboration
11.1 Introduction
11.2 Models of Collaboration
11.3 Specific Goals and Contexts
11.4 Design Consideration
Part IV: Design Issues
Chapter 12: Advancing the User Experience (formerly Chapter 11)
12.1 Introduction
12.2 Display Design
12.3 View (Window) Management
12.4 Animation
12.5 Web Page Design
12.6 Color
12.7 Nonanthropomorphic Design
12.8 Error Messages
Chapter 13: The Timely User Experience (formerly Chapter 10)
13.1 Introduction
13.2 Models of System Response Time (SRT) Impacts
13.3 Expectations and Attitudes
13.4 User Productivity and Variability in SRT
13.5 Frustrating Experiences
Chapter 14: Documentation and User Support (a.k.a Help)
14.1 Introduction
14.2 Shaping the Content of the Documentation
14.3 Accessing the Documentation
14.4 Reading from Displays versus Reading from Paper
14.5 Online Tutorials and Animated Demonstrations
14.6 Online Communities &r Avenues for User Support
14.7 The Development Process
Chapter 15: Information Search
15.1 Introduction
15.2 Five-phase search framework
15.3 Dynamic queries and faceted search
15.4 Command languages and “natural” language queries
15.5 Multimedia Document Search & specialized search
15.6 The Social aspects of search
Chapter 16: Data Visualization
16.1 Introduction
16.2 Tasks in Data Visualization
16.2 Visualization by Data Type
16.3 Challenges for Data Visualization
Afterword: Societal and Individual Impact of User Interfaces
A.1 Future Interfaces and Grand Challenges
A.2 Ten Plagues of the Information Age


func DescribeTable(description string, itBody interface{}, entries ...TableEntry) bool
DescribeTable describes a table-driven test.
For example:
DescribeTable("a simple table", func(x int, y int, expected bool) { Ω(x > y).Should(Equal(expected)) }, Entry("x > y", 1, 0, true), Entry("x == y", 0, 0, false), Entry("x < y", 0, 1, false), )
The first argument to `DescribeTable` is a string description. The second argument is a function that will be run for each table entry. Your assertions go here - the function is equivalent to a Ginkgo It. The subsequent arguments must be of type `TableEntry`. We recommend using the `Entry` convenience constructors.
The `Entry` constructor takes a string description followed by an arbitrary set of parameters. These parameters are passed into your function.
Under the hood, `DescribeTable` simply generates a new Ginkgo `Describe`. Each `Entry` is turned into an `It` within the `Describe`.
It's important to understand that the `Describe`s and `It`s are generated at evaluation time (i.e. when Ginkgo constructs the tree of tests and before the tests run).
Individual Entries can be focused (with FEntry) or marked pending (with PEntry or XEntry). In addition, the entire table can be focused or marked pending with FDescribeTable and PDescribeTable/XDescribeTable.
func FDescribeTable(description string, itBody interface{}, entries ...TableEntry) bool
You can focus a table with `FDescribeTable`. This is equivalent to `FDescribe`.
func PDescribeTable(description string, itBody interface{}, entries ...TableEntry) bool
You can mark a table as pending with `PDescribeTable`. This is equivalent to `PDescribe`.
func XDescribeTable(description string, itBody interface{}, entries ...TableEntry) bool
You can mark a table as pending with `XDescribeTable`. This is equivalent to `XDescribe`.
TableEntry represents an entry in a table test. You generally use the `Entry` constructor.
type TableEntry struct { Description string Parameters []interface{} Pending bool Focused bool }
func Entry(description string, parameters ...interface{}) TableEntry
Entry constructs a TableEntry.
The first argument is a required description (this becomes the content of the generated Ginkgo `It`). Subsequent parameters are saved off and sent to the callback passed in to `DescribeTable`.
Each Entry ends up generating an individual Ginkgo It.
func FEntry(description string, parameters ...interface{}) TableEntry
You can focus a particular entry with FEntry. This is equivalent to FIt.
func PEntry(description string, parameters ...interface{}) TableEntry
You can mark a particular entry as pending with PEntry. This is equivalent to PIt.
func XEntry(description string, parameters ...interface{}) TableEntry
You can mark a particular entry as pending with XEntry. This is equivalent to XIt.


JSA is in severe need of a reputation facelift. Central to my platform, and my candidacy as a whole, is reorganizing our publicity efforts to achieve a common end. As governor I will work harder and more efficiently to make JSA more locally and nationally known.
As anyone who has met me knows, I pride myself on my humor and an ability to connect with people. I embrace my awkwardness and strive to be the fullest and most authentic expression of myself possible. Personal connection will be central to all my proposed policies and visible in all my interactions.
As mayor, I understand many of the failures of our regional system, but I hate abandoning things that are well-intentioned and can be fixed. That’s why I wish to localize and to divide tasks, to make sure work and accountability are well delegated and equitably sourced.