Breast Cancer Detection App by
By Soorya Parthiban
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Clump Thickness
Uniformity of Cell Size
Uniformity of Cell Shape
Marginal Adhesion
Single Epithelial Cell Size
Bare Nuclei
Bland Chromatin
Normal Nucleoli
Mitoses
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[§572D-7] Enforcement; void marriage. If a marriage is determined to be void, an agreement that would otherwise have been a premarital agreement is enforceable only to the extent necessary to avoid an inequitable result. [L 1987, c 321, pt of §1]


Hey! My name is Rich Dobrzeniecki and I am a glass-blower turned web developer.
I am orginally from Cleveland, OH, but I have lived everywhere from South Carolina to Washington State.
Before web-development I was a full-time glass-blower living and working in Seattle, WA, and I still love
to make glass when I get the chance. Besides development and glass, I love my cats (the one in the picture is named Yokai),
esports and a good times with friends.
I recently moved back home to Cleveland, OH to attend the coding bootcamp at Case Western Reserve University, with hopes
to transition into a full-time developer. I'm super excited to see where this road takes me!


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After posting on the performance of several different ORMs I had a chat to Sam Saffron one of the authors of the Dapper framework around how I could make my Dapper test cases faster. My original test results showed Dapper as being around 55% slower for inserts and 23% slower for updates than Entity Framework.
What we found was that by default Entity Framework wraps its batches in a transaction but with Dapper you have to perform this manually. With SQL transactions make batch write operations substantially faster. In this post were going to explore how much difference transactions make and look at some of the reasons why they have an impact on performance. For this post I’m using Dapper for simplicity but the same general principles and performance gains apply to other ORMs.
Transaction Performance
I have compared below how dapper performs with and without transactions. As you can see they make a pretty big difference to the execution time of database writes, especially as the number of items increases. My original data for these results can be found here.
Does changing the Isolation Level alter performance?
SQL provides several different modes (Isolation Levels) to apply to transactions. These affect how rows which are modified within a transaction are locked and when they can be queried. MSDN - Improving SQL Server Performance has some great notes on exactly what these lock levels do and what the specific side effects of each method can be. I thought playing with these may affect performance, but I was wrong; Isolation Levels appear to have no affect on single threaded bulk write performance.
NOTE however that these do have an affect on performance if multiple queries affecting the same tables are being performed as you may need to wait for a previous transaction to complete before you can write with some Isolation Levels.
What makes transactions so much faster?
So there’s a bit of a secret with transactions, under the covers they happen anyway.  What we are really doing when we wrap a query in a transaction is being explicit about when we start and stop the transaction. This means we can perform multiple operations within the same transaction.
Transactions naturally have an overhead to do with performing lock and unlock operations on data. This means that we really want to have less of them. By wrapping 1000 inserts inside a transaction what we are actually achieving is reducing the number of transactions by 999, which obviously improves performance dramatically.
See Stack Overflow - ADO.net SqlTransaction improves performance for a conversation on this topic.
Should I use them everywhere?
Transactions are a useful part of SQL and its really important for performance that your operations are correctly encapsulated inside transactions. If you are performing queries which lend themselves to large batches of data its well worth your while reducing the number of transactions which are occurring by being explicit about when transactions start and finish.
Having said this be aware that if anything inside your transaction fails the entire transaction will be rolled back. This is really important as it means that until you have successfully committed your data, it isn’t really saved. This means you need to conciser what other things will be rolled back on failure and make sure that your data is related enough that its OK that the whole transaction is either committed or not committed.
Another thing to note is that depending on your isolation level you may be blocking other queries to the database for the duration of your transaction. This may have flow on affects on performance to other parts of your system, especially when multiple threads/processes/users are concurrently accessing the database.
To sum up transactions can be dangerous, make sure you understand whats going on behind the scenes with transactions and spend some time thinking about where you place your transaction boundaries.
Thanks
I’m particularly grateful to Sam Saffron for his help identifying transactions as the cause of my dapper performance issues.


Sobolev Spaces¶
This section of the Bempp Handbook introduces the Sobolev function spaces in which the solutions to the variational boundary integral equation are sought.
Let \(\Omega^-\subset\mathbb{R}^3\) be a bounded domain and let \(\Gamma\) be the boundary of \(\Omega^-\). Let \(\Omega^+=\mathbb{R}^3\setminus\Omega^-\) be the region exterior to \(\Omega^-\).
Scalar function spaces¶
For Laplace and Helmholtz problems, we use spaces containing scalar functions \(f:\Omega^-\to\mathbb{C}\). We begin by defining the space of square integrable functions:
We then define the Sobolev space \(H^1(\Omega^-)\) to be the space of square integrable functions whose first derivatives are also square integrable.
In general, for each positive integer \(k\), we define the space \(H^k(\Omega^-)\) to be the space of square integrable functions whose derivatives of order up to and including \(k\) are also square integrable.
Traces¶
Next, we define the Dirichlet and Neumann traces of a function on the boundary by
We define the space \(H^{1/2}(\Gamma)\) to be the Dirichlet trace of the space \(H^1(\Omega^-)\):
In general, for each positive integer \(k\), we define the space \(H^{k-1/2}(\Gamma)\) to be the Dirchlet trace of the space \(H^k(\Omega^-)\).
The space \(H^{-1/2}(\Gamma)\) is defined as the dual space of \(H^{1/2}(\Gamma)\):
Vector function spaces¶
For Maxwell problems, we use spaces containing vector functions \(\mathbf{f}:\Omega^-\to\mathbb{C}^3\). We begin by defining the space of square integrable functions:
We then define the Sobolev space \(\mathbf{H}^1(\Omega^-)\) to be the space of square integrable functions whose first derivatives are also square integrable.
In general, for each positive integer \(k\), we define the space \(\mathbf{H}^k(\Omega^-)\) to be the space of square integrable functions whose derivatives of order up to and including \(k\) are also square integrable.
Traces¶
On \(\Gamma\), we define the space of square integrable tangential vector fields:
Next, we define the tangential and Neumann traces of a function on the boundary by
We define the space \(\mathbf{H}^{1/2}_\times(\Gamma)\) to be the tangential trace of the space \(\mathbf{H}^1(\Omega^-)\):
We define the spaces of div- and curl-conforming functions by:
In these definitions, \(\operatorname{div}_\Gamma\) and \(\operatorname{curl}_\Gamma\) are the scalar surface div and curl operators. Using the definition of these, it can be seen that


...To be very honest since the time I have started working with JavaScript my heart has started beating really fast. I don't want to say about any one problem where I got stuck and eventually managed to solved,but I will just say every assignment (javascript)is been a challenge for me so far. I am not sure how others feel about that, and what their experience is. As for me It's hard to get concepts right. Also there is a lot to learn and understand. I have got stuck almost on every challegne but, I tried my best until it was all just too over-whelming and broke down and lot's of tears rolled down. Then I asked the help from my husband, who is my coach at home and I feel lucky to have him. He explained me all the questions which I had in my mind, and ended up giving me Home work to do which I am still working on. From the beginning of javascript understanding data types and whats there role, to loops,functions,switch statements control flow. and Syntax..etc.. etc.. everything is still a challenge. During this hard phase the tecniques which I used was console.log, lot's of googling, free courses, reading error messages and triyng different code in dev tools. Even though I am giving my best I feel there is a long way to go before JavaScript starts making sense, as Harrison once said give some time, it takes a while to sink in with javascript. I am still keeping very positive and trying to keep up my spirits. I know going from being Chef to be a Programmer is tough road but I am enjoying my journey.
Here is my little understnding about following methods and I am still working on them. .map() method helps to iterates every value in the array and returns the value required, without having to use for() loop. In other words it can give you individual information about the items by picking one at a time from big box of things.
.filter() getting the unique values or names from an Array by using the .filter method. Filter method is like a filter who will sort out what you want and return it you from big box of things.
.reduce() method applies a function against an accumulator and each element in the array (from left to right) to reduce it to a single value. in other words It takes an Array and turn into something else.It takes three parameters (all, item ,Index). I am still quite confused with .reduce() method so will keep it for now and study more and get back to it again.


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| Open | > 0 0 0 | Larger Than |
|
Open is the inverse of box, that is, ><y is y .
When applied to an open array (that has no boxed elements),
open has no effect. Opened atoms are brought to a common shape
as discussed in Section II B.
|
x>y is 1 if x is tolerantly larger
than y . See Equal (=)
for a discussion of tolerance.
For example:1 2 3 4 5 > 5 4 3 2 1 0 0 0 1 1Tolerance t is provided by >!.t . |
]a=: 1 2 3;4 5 6;7 8 9 +-----+-----+-----+ |1 2 3|4 5 6|7 8 9| +-----+-----+-----+ >a 1 2 3 4 5 6 7 8 9Results of different shapes are padded as defined in Section II B. For example:
(>1;2 3;4 5 6); (>'a';'bc';'def'); (<\i.4); (><\i.4) +-----+---+---------------------+-------+ |1 0 0|a |+-+---+-----+-------+|0 0 0 0| |2 3 0|bc ||0|0 1|0 1 2|0 1 2 3||0 1 0 0| |4 5 6|def|+-+---+-----+-------+|0 1 2 0| | | | |0 1 2 3| +-----+---+---------------------+-------+ </~ i.5 NB. Table of the dyad <: 0 1 1 1 1 0 0 1 1 1 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 1 < 1+10^-8+i.15 NB. Tolerant comparison 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 1 <!.(0) 1+10^-8+i.15 NB. Exact comparison (0-tolerance) 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0


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Deletes a previous migration archive. Downloadable migration archives are automatically deleted after seven days. Migration metadata, which is returned in the List user migrations and Get a user migration status endpoints, will continue to be available even after an archive is deleted.
DELETE /user/migrations/:migration_id/archive
Status: 204 No Content


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PISCES MAN
Pisces man in love
Every time this man falls in love, he will think that he found the love of his life. With a certain relative view, this might actually be true for each one of his loves. Every relationship in his life is very different from the previous one, and each one represents an important lesson in love. His spontaneous, changeable nature will make him fly high and live out a romance until there is nothing more in it to be happy about. He will love with a full heart, never holding back and approach his loved one with care and respect. Unfortunately, you can never know how much time will pass before he realizes that he is actually looking for someone different and better suited for his character.
Pisces man in relationships
In a relationship, Pisces man will be devoted for as long as there is strong excitement over emotions he feels. His relationships don’t last very long unless his partner accepts his romantic impulse and finds a way to create a stable foundation for their relationship to last. He will not be very reliable and agreements with him could change on an hourly basis. This can be annoying or exciting, but the only possible way to deal with it is to be spontaneous and let him choose the direction, however chaotic it might seem.
Can you trust your Pisces man
The sign of Pisces represents all shady, dishonest activities, adultery, lies and misconceptions. On the other hand, it is also a sign of ultimate trust and faith one has. One of the biggest challenges for a Pisces man is to stay in an awkward situation without pretending to be something he is not. His approach to truth can be quite challenging for his partner, especially if he is dating a Fire sign, proactive and straightforward. In general, he will be careful not to be dishonest about important things, and when he finds himself in a truly intimate relationship, he will have no reason to fear his partner, and it will be easy for him to be honest.
Understanding Pisces men
However social he might seem, a Pisces man is a loner. He needs to spend some time with his thoughts and experiences and if he doesn’t have a chance to do so, he will be driven crazy.  He has a great need to express his creativity. Every Pisces man is a man on a mission, and he has to know that when he is gone, he will leave something behind. There are often too many expectations he sets for himself and he can have trouble meeting any of them, getting lost in irrelevant things to avoid dealing with his own inner disappointment.
Pisces Man Likes and Dislikes
He is caring, tender and sensitive, a kind of man who nurtures his feminine side and because of this he has the ability to listen, compassionately approach his partner and understand the feelings of everyone around him.  No one knows what he will feel tomorrow, and his relationships could fall apart in a day, without any obvious reason.
How to choose a gift for your Pisces Man
A Pisces man likes attention given behind the gift. He wants to feel loved and cherished, and this can be done by creating anything to express how you feel. He is not someone who wants to get a book for his birthday, or a technical gadget he will not be able to use. He wants something more personal, something that doesn’t require analysis, and something he can feel. You can always go with soft materials, things he can touch and smell, for his senses to awaken. This is a man who will appreciate a drawing as much as a soft piece of clothing, or a pair of socks, for as long as attention is being given and he feels appreciated.
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Here we can display the Maps library
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Help those ones in danger. Become the difference in their lives if necessary. Get quick help if needed from the ones you trust.
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MergeLists()
Syntax
MergeLists(SourceList(), DestinationList() [, Location])Description
Moves all elements from the SourceList() to the DestinationList(). This is a fast operation because the element data itself is not moved to merge the two lists.
Parameters
SourceList() The list from which the elements will be taken. This list will be empty after the function returns. DestinationList() The list to move the elements to. This list will contain the items of both lists after the function returns. Location (optional) Location where to insert the elements in the DestinationList(). This can be one of the following values: #PB_List_Last : Append the elements at the end of DestinationList() (default) #PB_List_First : Insert the elements at the beginning of DestinationList() #PB_List_Before: Insert the elements before the current element of DestinationList() #PB_List_After : Insert the elements after the current element of DestinationList()
Return value
None.
Example
NewList A.s() AddElement(A()): A() = "a0" AddElement(A()): A() = "a1" AddElement(A()): A() = "a2" AddElement(A()): A() = "a3" NewList B.s() AddElement(B()): B() = "b0" AddElement(B()): B() = "b1" AddElement(B()): B() = "b2" AddElement(B()): B() = "b3" ; Insert the elements of A() before the "b1" element in B() SelectElement(B(), 1) MergeLists(A(), B(), #PB_List_Before) ForEach B() Debug B() Next
See Also
SplitList()
Supported OS
All


Back To The Future
Marty McFlyyes, Joey just loves being in his playpen. he cries whenever we take him out so we just leave him in there all the time. Well Marty, I hope you like meatloaf. Oh, great scott. You get the cable, I'll throw the rope down to you. That's right, he's gonna be mayor.  Time machine, I haven't invented any time machine. Brown, Brown, Brown, Brown, Brown, great, you're alive. Do you know where 1640 Riverside- You don't understand. Over there, on my hope chest. I've never seen purple underwear before, Calvin. Right, I got it. You know, Doc, you left your equipment on all week. 1955?   Excuse me. What kind of date? I don't know, what do kids do in the fifties? Will you take care of that?
88 MPH
C'mon, c'mon let's go. Well gee, I don't know. Actually, people call me Marty. Radiation suit, of course, cause all of the fall out from the atomic wars. This is truly amazing, a portable television studio.  Ah. Now Biff, don't con me. Uh, no, no, no, no. What are you looking at, butt-head? You okay, is everything alright? Without any sugar. Doc, she didn't even look at him. Uh, coast guard.  Wrecked? I can't play. About how far ahead are you going?


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| DOSE: |
0.75 g |
smoked |
Skullcap |
(extract) |
I was looking for something to mix up with the cannabis to reduce costs and find new experiences and so decided to buy an ounce of skullcap. I am not sure, neither is the vendor, whether this is the milder species of skullcap or the stronger. I tried smoking it straight up as plant matter a couple times and found that the smoke was thick, harsh but had a better flavor than cannabis. The effects of smoking 3 bowls of it was a mild sedation. At this point the smoke inhalation did not seem worth it so I ran an ethanol extraction, which is detailed below:
1.) I took the skullcap and dumped it into a blender.
2.) I then put enough Gem Clear (also sold as everclear) 190 proof grain alcohol to submerge the skullcap and blended them together for 3-5 minutes
3.) I took a cup and rubberbanded a coffee filter over it (though slightly 'in' the cup so it could hold the plant matter) then poured the blender mix into the cup
4.) after that had drained into the cup I used some ethanol to get the loose bits and peices off the blender and did the same thing again
5.) I then took the coffee filter off and squeezed it gently to get the remaining skullcap-enhanced ethanol into the cup (keep the skullcap inside the cofee filter as I've found that you can get some resin off of material that has already been used by repeating this process)
6.) Poured the cup into a brown flat pan but have since switched to white plates due to concerns about metal shaving and how much easier the plate is to work with
7.) Put the pan on my electric stove on low and checked on it till the ethanol evaporated (I do NOT reccommend this with a flame stovetop as open flames + ethanol is bad) I now reccommend setting up a house fan right next to the plate and it will dry fairly quickly leaving just resin (you want it very dry otherwise when you go to do step 8 you'll just smudge the stuff around)
8.)
Now that it's in resin form I'll tell you a bit about the resin.  The smoke from the resin is much less harsh than the plant matter.
The first time my gf and I took about .75 grams (skullcap extract) and mixed it with 1/2 bowl of good cannabis. On top of the cannabis effects I felt a very very nice sedation followed by warmth throughout my body. It synthesized quite nicely and made me much higher than a single bowl of cannabis between the two of us would. My girlfriend, who is also 70 pounds lighter than I am experienced much the same effects except that when we turned out the lights and put on some music she started getting CEVs (closed eye visuals) for about 30 minutes.
The next time we smoked it was when I was peaking on amanita muscaria mushrooms. I smoked a good bowl of cannabis plus the remainder of the skullcap extract between my gf and I. This time we both acheived CEVs (I was not getting CEVs on A. muscaria alone) although mine only lasted for 20 minutes.
Although this was only about 1.5 grams of 20ishX extract, for my gf and I this has become a favorite and it most certainly fulfills the role of something cheap to mix with cannabis that doesn't completely change the nature of the high.
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.


I want to lose 30lbs and lead a healthier lifestyle.
Lately I haven't had the amount of energy I need to be productive during the day. I also want to eat better and feel better while creating better habits for the future.
January 1, 2017
Motivation 1
Video
Every 3 days


Simple Point
Simple Polygon
Simple Donut Polygon
MultiPolygon
Multiple Features
Label by Property
Rule Filter


# File vendor/plugins/rspec/lib/spec/runner/behaviour_runner.rb, line 18 def run(paths, exit_when_done) prepare!(paths) begin run_behaviours rescue Interrupt ensure report_end end failure_count = report_dump heckle if(failure_count == 0 && !@options.heckle_runner.nil?) if(exit_when_done) exit_code = (failure_count == 0) ? 0 : 1 exit(exit_code) end failure_count end


Gaussian implements the mathematical model |R*x|^2 = |y|^2 with R'*R=inv(Sigma) where y = whiten(x) = R*x x = unwhiten(x) = inv(R)*y as indeed |y|^2 = y'*y = x'*R'*R*x Various derived classes are available that are more efficient.
The named constructors return a shared_ptr because, when the smart flag is true, the underlying object might be a derived class such as Diagonal.
|
|
| Gaussian (size_t dim=1, const boost::optional< Matrix > &sqrt_information=boost::none) |
| | constructor takes square root information matrix
|
| |
| void | print (const std::string &name) const override |
| |
| bool | equals (const Base &expected, double tol=1e-9) const override |
| |
| Vector | sigmas () const override |
| | Calculate standard deviations. More...
|
| |
| Vector | whiten (const Vector &v) const override |
| | Whiten an error vector. More...
|
| |
| Vector | unwhiten (const Vector &v) const override |
| | Unwhiten an error vector. More...
|
| |
| Matrix | Whiten (const Matrix &H) const override |
| | Multiply a derivative with R (derivative of whiten) Equivalent to whitening each column of the input matrix. More...
|
| |
| virtual void | WhitenInPlace (Matrix &H) const |
| | In-place version. More...
|
| |
| virtual void | WhitenInPlace (Eigen::Block< Matrix > H) const |
| | In-place version. More...
|
| |
| void | WhitenSystem (std::vector< Matrix > &A, Vector &b) const override |
| | Whiten a system, in place as well. More...
|
| |
| void | WhitenSystem (Matrix &A, Vector &b) const override |
| |
| void | WhitenSystem (Matrix &A1, Matrix &A2, Vector &b) const override |
| |
| void | WhitenSystem (Matrix &A1, Matrix &A2, Matrix &A3, Vector &b) const override |
| |
| virtual boost::shared_ptr< Diagonal > | QR (Matrix &Ab) const |
| | Apply appropriately weighted QR factorization to the system [A b] Q' * [A b] = [R d] Dimensions: (r*m) * m*(n+1) = r*(n+1), where r = min(m,n). More...
|
| |
| virtual Matrix | R () const |
| | Return R itself, but note that Whiten(H) is cheaper than R*H. More...
|
| |
|
virtual Matrix | information () const |
| | Compute information matrix.
|
| |
|
virtual Matrix | covariance () const |
| | Compute covariance matrix.
|
| |
| | Base (size_t dim=1) |
| | primary constructor More...
|
| |
| virtual bool | isConstrained () const |
| | true if a constrained noise model, saves slow/clumsy dynamic casting More...
|
| |
| virtual bool | isUnit () const |
| | true if a unit noise model, saves slow/clumsy dynamic casting More...
|
| |
|
size_t | dim () const |
| | Dimensionality.
|
| |
|
virtual void | print (const std::string &name="") const =0 |
| |
|
virtual bool | equals (const Base &expected, double tol=1e-9) const =0 |
| |
| virtual Vector | sigmas () const |
| | Calculate standard deviations. More...
|
| |
| virtual Vector | whiten (const Vector &v) const =0 |
| | Whiten an error vector. More...
|
| |
| virtual Matrix | Whiten (const Matrix &H) const =0 |
| | Whiten a matrix. More...
|
| |
| virtual Vector | unwhiten (const Vector &v) const =0 |
| | Unwhiten an error vector. More...
|
| |
| virtual double | squaredMahalanobisDistance (const Vector &v) const |
| | Squared Mahalanobis distance v'*R'*R*v = <R*v,R*v> More...
|
| |
|
virtual double | mahalanobisDistance (const Vector &v) const |
| | Mahalanobis distance.
|
| |
| virtual double | loss (const double squared_distance) const |
| | loss function, input is Mahalanobis distance More...
|
| |
| virtual void | WhitenSystem (std::vector< Matrix > &A, Vector &b) const =0 |
| |
|
virtual void | WhitenSystem (Matrix &A, Vector &b) const =0 |
| |
|
virtual void | WhitenSystem (Matrix &A1, Matrix &A2, Vector &b) const =0 |
| |
|
virtual void | WhitenSystem (Matrix &A1, Matrix &A2, Matrix &A3, Vector &b) const =0 |
| |
| virtual void | whitenInPlace (Vector &v) const |
| | in-place whiten, override if can be done more efficiently More...
|
| |
| virtual void | unwhitenInPlace (Vector &v) const |
| | in-place unwhiten, override if can be done more efficiently More...
|
| |
| virtual void | whitenInPlace (Eigen::Block< Vector > &v) const |
| | in-place whiten, override if can be done more efficiently More...
|
| |
| virtual void | unwhitenInPlace (Eigen::Block< Vector > &v) const |
| | in-place unwhiten, override if can be done more efficiently More...
|
| |
| virtual Vector | unweightedWhiten (const Vector &v) const |
| | Useful function for robust noise models to get the unweighted but whitened error. More...
|
| |
| virtual double | weight (const Vector &v) const |
| | get the weight from the effective loss function on residual vector v More...
|
| |


STUDENT SCHOLARSHIPS
This website is dedicated to help students find new learning opportunities
We offer different teaching languages
English
Nederlands
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Useful links:
Information for Expats in Belgium
Belgian Education System
EU Education Database
CONTACT US
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| The key of process | The count of process instances running | The count of process instances Active | The count of process instances Completed |
|---|---|---|---|
| {{keyOfInstance}} | {{countRuningInstance}} | {{countActiveInstance}} | {{countCompletedInstance}} |
| Tasks | Types |
|---|---|
| {{countTotal}} | Total |
| {{countAssignedToUser}} | assigned to a user |
| {{countAssignedToGroup}} | assigned to 1 or more groups |
| {{countUnassigned}} | unassigned |
| State | Name | ID | Start Time | Due Date | Assignee | Set Assignee |
|---|---|---|---|---|---|---|
| {{item.name}} | {{item.id}} | {{item.created}} | {{item.due ?item.due:"N/A"}} | {{item.assignee}} |


Class: Aws::Scheduler::Types::GetScheduleOutput
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-scheduler/lib/aws-sdk-scheduler/types.rb |
Overview
Constant Summary
Instance Attribute Summary
-
#action_after_completion ⇒ String
rw
Indicates the action that
::Aws::EventBridge
Scheduler applies to the schedule after the schedule completes invoking the target. -
#arn ⇒ String
rw
The Amazon
::Aws::Scheduler::Resource
Name (ARN) of the schedule. -
#creation_date ⇒ Time
rw
The time at which the schedule was created.
-
#description ⇒ String
rw
The description of the schedule.
-
#end_date ⇒ Time
rw
The date, in UTC, before which the schedule can invoke its target.
-
#flexible_time_window ⇒ Types::FlexibleTimeWindow
rw
Allows you to configure a time window during which
::Aws::EventBridge
Scheduler invokes the schedule. -
#group_name ⇒ String
rw
The name of the schedule group associated with this schedule.
-
#kms_key_arn ⇒ String
rw
The ARN for a customer managed
::Aws::KMS
Key that is be used to encrypt and decrypt your data. -
#last_modification_date ⇒ Time
rw
The time at which the schedule was last modified.
-
#name ⇒ String
rw
The name of the schedule.
-
#schedule_expression ⇒ String
rw
The expression that defines when the schedule runs.
-
#schedule_expression_timezone ⇒ String
rw
The timezone in which the scheduling expression is evaluated.
-
#start_date ⇒ Time
rw
The date, in UTC, after which the schedule can begin invoking its target.
-
#state ⇒ String
rw
Specifies whether the schedule is enabled or disabled.
-
#target ⇒ Types::Target
rw
The schedule target.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Aws::Structure#to_h. |
Instance Attribute Details
#action_after_completion ⇒ String
(rw)
Indicates the action that ::Aws::EventBridge
Scheduler applies to the
schedule after the schedule completes invoking the target.
# File 'gems/aws-sdk-scheduler/lib/aws-sdk-scheduler/types.rb', line 668
class GetScheduleOutput < Struct.new( :action_after_completion, :arn, :creation_date, :description, :end_date, :flexible_time_window, :group_name, :kms_key_arn, :last_modification_date, :name, :schedule_expression, :schedule_expression_timezone, :start_date, :state, :target) SENSITIVE = [] include Aws::Structure end
#arn ⇒ String
(rw)
The Amazon ::Aws::Scheduler::Resource
Name (ARN) of the schedule.
# File 'gems/aws-sdk-scheduler/lib/aws-sdk-scheduler/types.rb', line 668
class GetScheduleOutput < Struct.new( :action_after_completion, :arn, :creation_date, :description, :end_date, :flexible_time_window, :group_name, :kms_key_arn, :last_modification_date, :name, :schedule_expression, :schedule_expression_timezone, :start_date, :state, :target) SENSITIVE = [] include Aws::Structure end
#creation_date ⇒ Time
(rw)
The time at which the schedule was created.
# File 'gems/aws-sdk-scheduler/lib/aws-sdk-scheduler/types.rb', line 668
class GetScheduleOutput < Struct.new( :action_after_completion, :arn, :creation_date, :description, :end_date, :flexible_time_window, :group_name, :kms_key_arn, :last_modification_date, :name, :schedule_expression, :schedule_expression_timezone, :start_date, :state, :target) SENSITIVE = [] include Aws::Structure end
#description ⇒ String
(rw)
The description of the schedule.
# File 'gems/aws-sdk-scheduler/lib/aws-sdk-scheduler/types.rb', line 668
class GetScheduleOutput < Struct.new( :action_after_completion, :arn, :creation_date, :description, :end_date, :flexible_time_window, :group_name, :kms_key_arn, :last_modification_date, :name, :schedule_expression, :schedule_expression_timezone, :start_date, :state, :target) SENSITIVE = [] include Aws::Structure end
#end_date ⇒ Time
(rw)
The date, in UTC, before which the schedule can invoke its target.
Depending on the schedule's recurrence expression, invocations
might stop on, or before, the EndDate
you specify. ::Aws::EventBridge
::Aws::Scheduler
ignores EndDate
for one-time schedules.
# File 'gems/aws-sdk-scheduler/lib/aws-sdk-scheduler/types.rb', line 668
class GetScheduleOutput < Struct.new( :action_after_completion, :arn, :creation_date, :description, :end_date, :flexible_time_window, :group_name, :kms_key_arn, :last_modification_date, :name, :schedule_expression, :schedule_expression_timezone, :start_date, :state, :target) SENSITIVE = [] include Aws::Structure end
#flexible_time_window ⇒ Types::FlexibleTimeWindow (rw)
Allows you to configure a time window during which ::Aws::EventBridge
::Aws::Scheduler
invokes the schedule.
# File 'gems/aws-sdk-scheduler/lib/aws-sdk-scheduler/types.rb', line 668
class GetScheduleOutput < Struct.new( :action_after_completion, :arn, :creation_date, :description, :end_date, :flexible_time_window, :group_name, :kms_key_arn, :last_modification_date, :name, :schedule_expression, :schedule_expression_timezone, :start_date, :state, :target) SENSITIVE = [] include Aws::Structure end
#group_name ⇒ String
(rw)
The name of the schedule group associated with this schedule.
# File 'gems/aws-sdk-scheduler/lib/aws-sdk-scheduler/types.rb', line 668
class GetScheduleOutput < Struct.new( :action_after_completion, :arn, :creation_date, :description, :end_date, :flexible_time_window, :group_name, :kms_key_arn, :last_modification_date, :name, :schedule_expression, :schedule_expression_timezone, :start_date, :state, :target) SENSITIVE = [] include Aws::Structure end
#kms_key_arn ⇒ String
(rw)
The ARN for a customer managed ::Aws::KMS
Key that is be used to encrypt
and decrypt your data.
# File 'gems/aws-sdk-scheduler/lib/aws-sdk-scheduler/types.rb', line 668
class GetScheduleOutput < Struct.new( :action_after_completion, :arn, :creation_date, :description, :end_date, :flexible_time_window, :group_name, :kms_key_arn, :last_modification_date, :name, :schedule_expression, :schedule_expression_timezone, :start_date, :state, :target) SENSITIVE = [] include Aws::Structure end
#last_modification_date ⇒ Time
(rw)
The time at which the schedule was last modified.
# File 'gems/aws-sdk-scheduler/lib/aws-sdk-scheduler/types.rb', line 668
class GetScheduleOutput < Struct.new( :action_after_completion, :arn, :creation_date, :description, :end_date, :flexible_time_window, :group_name, :kms_key_arn, :last_modification_date, :name, :schedule_expression, :schedule_expression_timezone, :start_date, :state, :target) SENSITIVE = [] include Aws::Structure end
#name ⇒ String
(rw)
The name of the schedule.
# File 'gems/aws-sdk-scheduler/lib/aws-sdk-scheduler/types.rb', line 668
class GetScheduleOutput < Struct.new( :action_after_completion, :arn, :creation_date, :description, :end_date, :flexible_time_window, :group_name, :kms_key_arn, :last_modification_date, :name, :schedule_expression, :schedule_expression_timezone, :start_date, :state, :target) SENSITIVE = [] include Aws::Structure end
#schedule_expression ⇒ String
(rw)
The expression that defines when the schedule runs. The following formats are supported.
at
expression -at(yyyy-mm-ddThh:mm:ss)
rate
expression -rate(value unit)
cron
expression -cron(fields)
You can use at
expressions to create one-time schedules that
invoke a target once, at the time and in the time zone, that you
specify. You can use rate
and cron
expressions to create
recurring schedules. Rate-based schedules are useful when you want
to invoke a target at regular intervals, such as every 15 minutes or
every five days. Cron-based schedules are useful when you want to
invoke a target periodically at a specific time, such as at 8:00 am
(UTC+0) every 1st day of the month.
A cron
expression consists of six fields separated by white
spaces: (minutes hours day_of_month month day_of_week year)
.
A rate
expression consists of a value as a positive integer, and
a unit with the following options: minute
| minutes
| hour
| hours
| day
| days
For more information and examples, see Schedule types on
::Aws::EventBridge
Scheduler in the EventBridge ::Aws::Scheduler
User Guide.
# File 'gems/aws-sdk-scheduler/lib/aws-sdk-scheduler/types.rb', line 668
class GetScheduleOutput < Struct.new( :action_after_completion, :arn, :creation_date, :description, :end_date, :flexible_time_window, :group_name, :kms_key_arn, :last_modification_date, :name, :schedule_expression, :schedule_expression_timezone, :start_date, :state, :target) SENSITIVE = [] include Aws::Structure end
#schedule_expression_timezone ⇒ String
(rw)
The timezone in which the scheduling expression is evaluated.
# File 'gems/aws-sdk-scheduler/lib/aws-sdk-scheduler/types.rb', line 668
class GetScheduleOutput < Struct.new( :action_after_completion, :arn, :creation_date, :description, :end_date, :flexible_time_window, :group_name, :kms_key_arn, :last_modification_date, :name, :schedule_expression, :schedule_expression_timezone, :start_date, :state, :target) SENSITIVE = [] include Aws::Structure end
#start_date ⇒ Time
(rw)
The date, in UTC, after which the schedule can begin invoking its
target. Depending on the schedule's recurrence expression,
invocations might occur on, or after, the StartDate
you specify.
::Aws::EventBridge
Scheduler ignores StartDate
for one-time schedules.
# File 'gems/aws-sdk-scheduler/lib/aws-sdk-scheduler/types.rb', line 668
class GetScheduleOutput < Struct.new( :action_after_completion, :arn, :creation_date, :description, :end_date, :flexible_time_window, :group_name, :kms_key_arn, :last_modification_date, :name, :schedule_expression, :schedule_expression_timezone, :start_date, :state, :target) SENSITIVE = [] include Aws::Structure end
#state ⇒ String
(rw)
Specifies whether the schedule is enabled or disabled.
# File 'gems/aws-sdk-scheduler/lib/aws-sdk-scheduler/types.rb', line 668
class GetScheduleOutput < Struct.new( :action_after_completion, :arn, :creation_date, :description, :end_date, :flexible_time_window, :group_name, :kms_key_arn, :last_modification_date, :name, :schedule_expression, :schedule_expression_timezone, :start_date, :state, :target) SENSITIVE = [] include Aws::Structure end
#target ⇒ Types::Target (rw)
The schedule target.
# File 'gems/aws-sdk-scheduler/lib/aws-sdk-scheduler/types.rb', line 668
class GetScheduleOutput < Struct.new( :action_after_completion, :arn, :creation_date, :description, :end_date, :flexible_time_window, :group_name, :kms_key_arn, :last_modification_date, :name, :schedule_expression, :schedule_expression_timezone, :start_date, :state, :target) SENSITIVE = [] include Aws::Structure end


Potassium Alum
Formula: KAl(SO4)2·12H2O Iconic compound for crystal growing.
Properties
- Crystal system: isometric (cubic)
- Crystal shape: octahedrons
- Stability on air: stable
Preparation
This compound usually available in chemical shops, but can be prepared too. Since it has relatively low solubility, it will readily crystallize from any solution, containing enough of K+, Al3+, SO42- ions.
Some possible ways are:
- Dissolve Al in sulfuric acid, producing Al2(SO4)3. Reaction is very slow due to protective film on aluminum. Then add K2SO4 and crystallize.
- Dissolve Al in KOH (warning: reaction very intensive, can start boiling), getting potassium aluminate:
Al + KOH + 3H2O → K[Al(OH)4] + 3H2(g).
Then add sulfuric acid:
K[Al(OH)4] + 2H2SO4 → KAl(SO4)2 + 2H2O
Growing
I used the simplest, traditional growing method: slow evaporation.'
Prepare a glass of saturated solution, make a small seed crystal and suspend the seed on a thin thread (very fine synthetic fiber, almost invisible).
Common problems in growing alum crystals:
- Crust formation: crystalline crust grows slowly on the sides of the glass, depleting the solution and slowing down crystal growth. Solved by moving crystal to a clean glass (crust can be re-dissolved and used again).
- Mold: some molds and bacteria can thrive in concentrated alum solution, dimming the crystal and reducing evaporation. I solved it by adding a few drops of iodine tincture.
Safety
This compound is safe.


Logikit::Framework URLs
URLs in LF are designed to be search-engine and human friendly. Rather than using the standard "query string" approach to URLs that is synonymous with dynamic systems, LF uses a segment-based approach:
Example URL: http://www.example.com/blog/display/id/12/showComments/1
- The first segment represents the controller class that should be invoked.
- The second segment represents the class function, or method, that should be called.
- The additional segments, represent the variable names and values that will be passed to the controller.
in the example above, the controller will take the value 12 for id and the value 1 for showComments variables.
LF will automatically tell if you are using a URL structure containing index.php or not.
http://www.example.com/index.php/blog/display/id/12/showComments/1
will be rendered exactly the same way as
http://www.example.com/blog/display/id/12/showComments/1


P
I
G -
D
I
C
E
First Player to 100 Wins!

Play Again
Wins!
Play Again


--- layout: page title: Thank You ---
Your application has been submited. Please allow 2-4 week for our board to review.
If your applicaton is approved your will receive a welcome email with your Members Account information.
If your application is delcined you will be advised of such and can reapply in six (6) months.


Barcelona target Willian, Fabian Ruiz?
Barcelona have reportedly set their sights on Chelsea playmaker Willian and Napoli midfielder Fabian Ruiz.
by Darren PlantWhile the Catalan giants require funds to secure a reunion with Neymar, that has not stopped speculation regarding other potential arrivals next summer.
According to reports in Spain, Willian remains a priority target with the Brazil international's contract expiring at the end of the season.
However, it is also claimed that the La Liga leaders are keen to sign Ruiz, despite the Spaniard only being in the second of a five-year deal in Naples.
The Serie A club are allegedly attempting to extend the 23-year-old's contract with the addition of a big release clause, although there are no signs that Ruiz is prepared to accept those terms.
Whether Napoli retain the services of Ruiz could depend on whether they qualify for next season's Champions League.
body check tags ::


WATCH:NUST Slay Queen reveals why she walked around campus semi nude ‘Zodwa Wabantu’ style
by Sharon ChirisaNUST Slay Queen reveals why she walked around campus semi nude ‘Zodwa Wabantu’ style
NOBHEKIMPILO Mbovora, popularly known as Vivica, has opened up on her controversial dressing which sparked a social media frenzy recently after she turned up in a risque outfit for a lecture at the National University of Science and Technology (Nust).
Vivica said she pulled the act to fight for women’s rights.
Vivica revealed that she was a feminist, determined to stand for all women who are deprived of their rights and she was determined to achieve her dream through modelling.
Vivica’s pictures and videos which went viral on social media made her a target of verbal abuse as people in her class called her names.
Watch the video below
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Watch :Rare Video Of a Shy Young Emmerson Mnangagwa Waiting For A Signal.
MURUME CHAIYE:Man divorces wife after 7 years,gives her permission to date lover
To View and Apply for the latest Jobs and Vacancies in Zimbabwe, Please Visit our Sister website iHarare Jobs


Keith Cheetah VR Coatings Orange
TWO COMPONENT HOT AIRLESS SPRAY PAINTING EQUIPMENT
The range is designed for tough working conditions and is suitable for two component high viscosity, solventless, low solvent coating, semisolid coating, marine coating, etc.
Features
Pneumatically sensed Air Motor
High Flow Rate
Stainless Steel rust proof Hydraulic Body
Sophisticated automatic flow valve for remote control
Electrical direct or oil jacketed heating.
Easy to handle mounted on robust trolley
Fixed I Variable mixing ratio
Ice Free Air Motor
Modular design to achieve various mixing ratios
Online ratio monitoring
Technical Specification


Argenis Osorio
Systems Engineer, programmer, with knowledge and experience in the planning, design, development, testing and deployment of information systems and web-oriented software using Free Technologies.
EMPLOYMENT HISTORY
-COMPU-K as Technician in Computer Repair and Maintenance and Graphic Designer (Year 2007-2008).
-ARKA-SOFTWARES as Web Designer and Developer, Programmer (Year 2008-2013).
-CENDITEL as Analyst of Development Projects in Free Technologies (Year 2015-2017), as Director of Development Projects in Free Technologies (year 2018-2020). As an Analyst of Development Projects in Free Technologies (Year 2020-Present).
LANGUAJE
-Spanish (Mother longue)
-English (Medium)
KNOWLEDGE AND SKILLS
#HTML5, #CSS3, #JavaScript, #Vue.js, #Vuetify, #NuxtJS, #jQuery, #Python, #Django, #PHP, #Laravel, #GNU/Linux, #Git, #Postgresql, #MySQL, #WordPress, #Bootstrap, #Inkscape.


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Class VisionComponent
Utility methods for Vector’s vision
Vector’s can detect various types of objects through his camera feed.
Implements
Inherited Members
Namespace: Anki.Vector
Assembly: Anki.Vector.dll
Syntax
public class VisionComponent : Component, INotifyPropertyChanged
Properties
| Improve this Doc View SourceCustomObjectDetectionEnabled
Gets a value indicating whether custom object detection is enabled
public bool CustomObjectDetectionEnabled { get; }
Property Type
| Boolean |
FaceDetectionEnabled
Gets a value indicating whether face detection is enabled
public bool FaceDetectionEnabled { get; }
Property Type
| Boolean |
MirrorModeEnabled
Gets a value indicating whether mirror mode is enabled
public bool MirrorModeEnabled { get; }
Property Type
| Boolean |
MotionDetectionEnabled
Gets a value indicating whether motion detection is enabled
public bool MotionDetectionEnabled { get; }
Property Type
| Boolean |
Methods
| Improve this Doc View SourceDisableAllVisionModes()
Closes all the running vision modes and waits for a response.
public Task DisableAllVisionModes()
Returns
| Type | Description |
|---|---|
| Task | A task that represents the asynchronous operation. |
DisableCustomObjectDetection()
Disables the custom object detection.
public Task<StatusCode> DisableCustomObjectDetection()
Returns
| Type | Description |
|---|---|
| Task<StatusCode> | A task that represents the asynchronous operation. The task result contains the result of the operation. |
DisableFaceDetection()
Disables face detection on the robot’s camera
public Task<StatusCode> DisableFaceDetection()
Returns
| Type | Description |
|---|---|
| Task<StatusCode> | A task that represents the asynchronous operation. The task result contains the result of the operation. |
DisableMirrorMode()
Disables display of the robot’s camera feed on its face along with any detections (if enabled)
public Task<StatusCode> DisableMirrorMode()
Returns
| Type | Description |
|---|---|
| Task<StatusCode> | A task that represents the asynchronous operation. The task result contains the result of the operation. |
DisableMotionDetection()
Disabled motion detection (not tested).
public Task<StatusCode> DisableMotionDetection()
Returns
| Type | Description |
|---|---|
| Task<StatusCode> | A task that represents the asynchronous operation. The task result contains the result of the operation. |
EnableCustomObjectDetection()
Enables the custom object detection.
public Task<StatusCode> EnableCustomObjectDetection()
Returns
| Type | Description |
|---|---|
| Task<StatusCode> | A task that represents the asynchronous operation. The task result contains the result of the operation. |
EnableFaceDetection(Boolean)
Enable face detection on the robot’s camera
public Task<StatusCode> EnableFaceDetection(bool estimateEspression = false)
Parameters
| Type | Name | Description |
|---|---|---|
| Boolean | estimateEspression | if set to |
Returns
| Type | Description |
|---|---|
| Task<StatusCode> | A task that represents the asynchronous operation. The task result contains the result of the operation. |
EnableMirrorMode()
Enables display of the robot’s camera feed on its face along with any detections (if enabled)
public Task<StatusCode> EnableMirrorMode()
Returns
| Type | Description |
|---|---|
| Task<StatusCode> | A task that represents the asynchronous operation. The task result contains the result of the operation. |
EnableMotionDetection()
Enables motion detection (not tested).
public Task<StatusCode> EnableMotionDetection()
Returns
| Type | Description |
|---|---|
| Task<StatusCode> | A task that represents the asynchronous operation. The task result contains the result of the operation. |


{% extends 'om/base.html' %} {% load static %} {% block head %}
oTree Manager is a software package initially written by Christian König gen. Kersting and published under the MIT License. Its source code is available on GitHub and the documentation can be found hat http://docs.otree-manager.com.
If oTree Manager made running experiments easier for you, please consider citing the accompanying paper when publishing your results:
König-Kersting, C. (2019) oTree Manager: Multi-user oTree installations made easy. Working Paper.


--- layout: page header-img: "gallery/tsib2/8.jpg" permalink: "/404.html" redirect_to: "baseurl" ---


Semantic and non-semantic grid layouts, base templates, table designs, navigation elements, typography and lots, lots more.
Build high performance websites in no time for old browers and new browsers alike without worrying about browser quirks.
An optimised atomic design gives you full control of the look and feel of your site while keeping code bloat minimal.
Don't need certain features? Don't include them. Unlike other frameworks, you can include only the components you need.
Although the overall look and feel are most definitely inspired by Twitter Bootstrap, Cascade framework is not just another Bootstrap clone. Where Twitter Bootstrap puts its focus on delivering shiny user elements that can be dropped into any project and takes control of your project's overall look-and-feel, Cascade Framework is intended to do the opposite. By splitting your CSS into separate files based on features rather than selectors as well as by implementing atomic design, Cascade Framework puts you in control!
Also different from Twitter Bootstrap or other CSS Frameworks out there, Cascade Framework can be used for modern browsers and older browsers alike. All features of Cascade Framework support Internet Explorer from IE6 upwards or degrade gracefully. With Cascade Framework you no longer have to choose between supporting only modern browsers or downgrading your design.
The following table gives an overview of the available Cascade modules.
| File | Content | Minified | Gzipped |
|---|---|---|---|
| core.css | Cross-browser rules for building your page structure. | 8545 B | 2653 B |
| typography.css | Font sizes, line heights and other typographical rules | 2976 B | 1133 B |
| tables.css | Classes that can be combined to layout your HTML tables | 1108 B | 370 B |
| colors.css | Text colors, backgrounds and border colors | 5354 B | 1695 B |
| modern.css | Rounded corners, box-shadow and other CSS3 styles | 3731 B | 819 B |
| helpers.css | Generic helper classes | 1226 B | 394 B |
| grids.css | Presentational grid classes | 1784 B | 465 B |
| responsive.css | Responsive support | 2980 B | 653 B |
| mobile-grids.css | Mobile specific grid classes | 2970 B | 555 B |
| tablet-grids.css | Tablet specific grid classes | 2992 B | 569 B |
| phone-grids.css | Phone specific grid classes | 2877 B | 550 B |
| icons.css | Icons | 14362 B | 2792 B |
| icons-ie7.css | Icon support for IE<8 | 34991 B | 2994 B |
| print.css | Print styles | 573 B | 340 B |
Cascade Framework provides you with 4 custom builds, that combine different modules into a single file.
| File | Content | Minified | Gzipped |
|---|---|---|---|
| build-core+typography.css | Contains only the core and typography modules. | 11521 B | 3540 B |
| build-core+typography+responsive.css | Adds responsive support. | 14501 B | 4017 B |
| build-full.css | All modules, except for IE<8 icons and print styles. | 51902 B | 10830 B |
| build-full-no-icons.css | Full build without icon classes. | 37540 B | 7989 B |
Is Cascade Framework still not lightweight enough to fit your personal needs? There's now also an even more lightweight version of Cascade Framework. Check it out on Github!
Want to see real world examples of how to use the framework? Check out the showcase below.
Planned features for Cascade Framework 2 :
Want to help? Fork the project at Github.
You can also help by making a donation with PayPal.
Check out the documentation for an overview and demos of the Cascade Framework's features.


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About Stair Step test
Why this test
Recording your heart rate recovery after going up and down a stair step for 3 minutes has been used to assess ones cardiovascular fitness level.
What to do
- Find a stair step that you are comfortable going up and down for 3 minutes (can be inside or outside).
- Take a picture of the step that you will being going up and down.
- Measure your heart rate within this app before running for 12 minutes.
- Step up and then down a single step at a speed of 24 steps per minute for 3 minutes.
- Measure your heart rate immediately after the 3 minute stair step session.


Make your team work
Effective teams generate lots of data: assignments, due dates, priorities, issues, deadlines.
Amplify empowers teams to use their own data to gain insights on how to become more productive.
We show you trends and performance statistics so you understand how your team operates best.


Taking the post-its from the Who column in the previous exercise Ben then mapped out how each person was involved in the way that work flowed through the team, showing who was involved and each stage and how work was passed between each person as it went.
The pink post-its (one for each person) went donn the left-hand side. Then the group added green post-its across the sheet to label each step in the process, lining them up against the person who would be undertaking each action.
Once this was complete across the top of the sheet we attempted to label each stage in a more general way to allow us to see the stages of work that are involved in this journey.


--- layout: post title: Polarising mobile sales date: 2009-02-04 00:00:00 categories: business mobile ---
Mobile phone sales are polarising, apparently: "it is clear that people are either getting devices that have functionality that really adds something to their life - making their life better, more enjoyable or more productive - or they are going for a cheaper type of deal"
One of the things that Trutap surprised me with was the revelation (to me at least) that in "developing" markets like India, smartphones are a popular choice despite their high cost relative to average incomes... the rationalisation being that if you're going to spend a greater chunk of your income on a mobile device, it had better be a decent one, and something you'll keep for a long time.
Recession hits the UK, and it looks like the same cost-conscious behaviour follows in its wake...


Redskins fans chant 'Sell the team!' at team owner Dan Snyder
by TSD StaffRedskins fans have had enough, and they’re now voicing their opinion about how they feel regarding the state of the team.
The Redskins have the second-worst record in the league, sitting at 1-9, and getting blown out at home against the previously two-win Jets appeared to be the tipping point for them.
As for the Jets, they came into FedEx Field and dominated — jumping out to a 20-3 lead at the half. Fans responded not by booing, which they’ve before in the past, but this time by chanting the following during the game.
“Sell the team!” they yelled.


[§466K-2] Real estate appraiser program. There is established a real estate appraiser program within the department of commerce and consumer affairs, to be administered by the director of commerce and consumer affairs. [L 1989, c 188, pt of §1]


{% extends "base.html" %} {% comment %} Index page template Author: Jonathan Karr<EMAIL_ADDRESS>Affiliation: Covert Lab, Department of Bioengineering, Stanford University Created: 2013-09-13 {% endcomment %} {% block nav-left %}
{% endblock %} {% block content-left %}WholeCellSimDB is a database of whole-cell model simulations designed to make it easy for researchers to explore and analyze whole-cell model predictions including predicted:
Metabolite concentrations,
DNA, RNA and protein expression,
DNA-bound protein positions,
DNA modification positions, and
Ribome positions.
WholeCellSimDB provides a simple graphical interface to search and browse simulations, including all of the metadata needed to reproduce simulations. WholeCellSimDB also provides three simple plotting applets to enable researchers to preview simulations. In addition, WholeCellSimDB provides a Python API for more advanced analysis (see examples).
Reseachers can download entire simulations and groups of simulations from WholeCellKB in HDF5 format. In addition, researchers can obtain the simulation metadata needed to reproduce simulations in SED-ML format.
WholeCellSimDB currently contains data from a single whole-cell model of the Gram-positive bacterium and human pathogen Mycoplasma genitalium.
Please use the "Browse" and "Search" menus at the top-left to browse and search simulations. Please use the basic plotting tool below to preview simulations. See the Python API gallery for examples how to use the Python API for more advanced analysis. Note: The Python API is not publicly accessible. Researchers must install WholeCellSimDB on their own machines to use the Python API.
Please view the tutorial and help pages for further help, or contact us at<EMAIL_ADDRESS>Please see the following for more information or to cite WholeCellSimDB:
Please contact us at wholecell@lists.stanford.edu.


2015 AQHA Sorrel Stallion by No Doubt Im Lazy x Zippin The Breeze (All time leading dam of money earners)
2006 AQHA/APHA Chestnut Stallion by Certain Potential x McKays Elegant ChipMultiple NSBA and APHA World Champion Producer


About me
“ I am a full stack developer with extensive experience in system administration . I am very passionate and enthusiastic about my work with exceptional strength in handling critical problem-solving activities. I have played with a lot of tools and technologies. However, I would like to call these tools and tech as my primary skills for software development: Python ➞ Django, Django Rest Framework, Celery, Redis[Celery] JavaScript, jQuery Database ➞ MySQL, PostgreSQL, SQLite3, I know git and docker well. Also, I am very comfortable with HTML5, CSS3, Bootstrap. I have hands-on experiences in writing unit testing codes, setting up CI/CD, deploying applications to cloud services e.g. heroku, AWS or even on cPanel. ”


[gecode-users] task end times in cululative/unary constraints
Kish Shen
kisshen at cisco.com
Tue May 17 18:29:24 CEST 2011
Hi,
In most versions of Gecode's cumulative and unary constraints, you need
to provide the start, duration and end times for tasks. For the ECLiPSe
cumulative and unary constraints, you only need to provide the start and
duration times. I understand that having the end times for task allows
for more opportunities for propagation, but are they needed (or more
precisely, are the extra constraints end = start + duration needed). if
the end times are not used anywhere.
The reason I am asking is that in the ECLiPSe interface to Gecode, one
of the aim is to provide compatibility to existing ECLiPSe code, so this
means providing cumulative/unary constraints with flexible durations,
but without end times, which is what ECLiPSe has. For these constraints,
the user would have no access to the end times, but currently I still
post the extra constraints end = start + duration for each task, as the
Gecode call requires the end times, and MPG suggest that these
constraints should be posted. But when I was looking at the code
yesterday, I started to wonder if this makes sense if the user cannot
see (and so cannot post constraints that will affect) the end times. So
my question is, does it make sense to post these constraints under these
conditions?
Thanks and cheers,
Kish
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sole use of the intended recipient. Any review, use, distribution or
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recipient (or authorized to receive for the recipient), please contact
the sender by reply e-mail and delete all copies of this message.
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set_target_properties¶
Targets can have properties that affect how they are built.
set_target_properties(target1 target2 ...
PROPERTIES prop1 value1
prop2 value2 ...)
Set properties on a target. The syntax for the command is to list all the files you want to change, and then provide the values you want to set next. You can use any prop value pair you want and extract it later with the GET_TARGET_PROPERTY command.
Properties that affect the name of a target’s output file are as follows. The PREFIX and SUFFIX properties override the default target name prefix (such as “lib”) and suffix (such as ”.so”). IMPORT_PREFIX and IMPORT_SUFFIX are the equivalent properties for the import library corresponding to a DLL (for SHARED library targets). OUTPUT_NAME sets the real name of a target when it is built and can be used to help create two targets of the same name even though CMake requires unique logical target names. There is also a <CONFIG>_OUTPUT_NAME that can set the output name on a per-configuration basis. <CONFIG>_POSTFIX sets a postfix for the real name of the target when it is built under the configuration named by <CONFIG> (in upper-case, such as “DEBUG_POSTFIX”). The value of this property is initialized when the target is created to the value of the variable CMAKE_<CONFIG>_POSTFIX (except for executable targets because earlier CMake versions which did not use this variable for executables).
The LINK_FLAGS property can be used to add extra flags to the link step of a target. LINK_FLAGS_<CONFIG> will add to the configuration <CONFIG>, for example, DEBUG, RELEASE, MINSIZEREL, RELWITHDEBINFO. DEFINE_SYMBOL sets the name of the preprocessor symbol defined when compiling sources in a shared library. If not set here then it is set to target_EXPORTS by default (with some substitutions if the target is not a valid C identifier). This is useful for headers to know whether they are being included from inside their library or outside to properly setup dllexport/dllimport decorations. The COMPILE_FLAGS property sets additional compiler flags used to build sources within the target. It may also be used to pass additional preprocessor definitions.
The LINKER_LANGUAGE property is used to change the tool used to link an executable or shared library. The default is set the language to match the files in the library. CXX and C are common values for this property.
For shared libraries VERSION and SOVERSION can be used to specify the build version and API version respectively. When building or installing appropriate symlinks are created if the platform supports symlinks and the linker supports so-names. If only one of both is specified the missing is assumed to have the same version number. For executables VERSION can be used to specify the build version. When building or installing appropriate symlinks are created if the platform supports symlinks. For shared libraries and executables on Windows the VERSION attribute is parsed to extract a “major.minor” version number. These numbers are used as the image version of the binary.
There are a few properties used to specify RPATH rules. INSTALL_RPATH is a semicolon-separated list specifying the rpath to use in installed targets (for platforms that support it). INSTALL_RPATH_USE_LINK_PATH is a boolean that if set to true will append directories in the linker search path and outside the project to the INSTALL_RPATH. SKIP_BUILD_RPATH is a boolean specifying whether to skip automatic generation of an rpath allowing the target to run from the build tree. BUILD_WITH_INSTALL_RPATH is a boolean specifying whether to link the target in the build tree with the INSTALL_RPATH. This takes precedence over SKIP_BUILD_RPATH and avoids the need for relinking before installation. INSTALL_NAME_DIR is a string specifying the directory portion of the “install_name” field of shared libraries on Mac OSX to use in the installed targets. When the target is created the values of the variables CMAKE_INSTALL_RPATH, CMAKE_INSTALL_RPATH_USE_LINK_PATH, CMAKE_SKIP_BUILD_RPATH, CMAKE_BUILD_WITH_INSTALL_RPATH, and CMAKE_INSTALL_NAME_DIR are used to initialize these properties.
PROJECT_LABEL can be used to change the name of the target in an IDE like visual studio. VS_KEYWORD can be set to change the visual studio keyword, for example Qt integration works better if this is set to Qt4VSv1.0.
VS_SCC_PROJECTNAME, VS_SCC_LOCALPATH, VS_SCC_PROVIDER and VS_SCC_AUXPATH can be set to add support for source control bindings in a Visual Studio project file.
VS_GLOBAL_<variable> can be set to add a Visual Studio project-specific global variable. Qt integration works better if VS_GLOBAL_QtVersion is set to the Qt version FindQt4.cmake found. For example, “4.7.3”
The PRE_INSTALL_SCRIPT and POST_INSTALL_SCRIPT properties are the old way to specify CMake scripts to run before and after installing a target. They are used only when the old INSTALL_TARGETS command is used to install the target. Use the INSTALL command instead.
The EXCLUDE_FROM_DEFAULT_BUILD property is used by the visual studio generators. If it is set to 1 the target will not be part of the default build when you select “Build Solution”. This can also be set on a per-configuration basis using EXCLUDE_FROM_DEFAULT_BUILD_<CONFIG>.


Welcome to the
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To render our templates, they need be compiled first. We do that with
the COMPILE-TEMPLATE*
function. For inheritance to work, we
need to put all the templates in the same directory so that Djula can
find them when resolving templates inheritance.
Djula looks for templates in the *CURRENT-STORE*
. For our
templates to be found, we have to add the template folder path the
templates store. We can do that with the
ADD-TEMPLATE-DIRECTORY
function.
Here is an example:
(add-template-directory (asdf:system-relative-pathname "webapp" "templates/")) (defparameter +base.html+ (djula:compile-template* "base.html")) (defparameter +welcome.html+ (djula:compile-template* "welcome.html")) (defparameter +contact.html+ (djula:compile-template* "contact.html"))
Then we can render our compiled templates using the RENDER-TEMPLATE*
function:
(djula:render-template* +welcome.html+ s :title "Ukeleles" :project-name "Ukeleles" :mode "welcome")
| • Auto-reload | ||
| • API | ||
By default, Djula automatically recompiles the templates when they change.
If you want to disable this, use the *recompile-templates-on-change* variable:
(setf djula:*recompile-templates-on-change* nil)
Previous: Auto-reload, Up: Usage [Contents][Index]
Adds DIRECTORY
to the search path of the TEMPLATE-STORE
Provides a hook to customize template compilation.
Specializers:
(toplevel-compiler common-lisp:t)
(compiler common-lisp:t)
Compiles template NAME
with compiler in CURRENT-COMPILER
Render TEMPLATE
into STREAM
passing TEMPLATE-ARGUMENTS
Previous: Auto-reload, Up: Usage [Contents][Index]


aquatic plants alien China invasive plant species water global native warming Ding ./s--- climate Wang effects increase ecological impacts Ecol. freshwater Biol. China. Liu change {border-style Sci. growth philoxeroides Zhang increased px;} #ffffff;} Alternanthera China, Plant ecosystems invasion introduced invasions Alien China’s biological eutrophication rainfall Aquat. Environ. Invasions Invasive crassipes elevated invaders negative plants, Aquatic Global distribution high higher human trade Chen South climatic increases invaded potential spread (), Chin. Eichhornia change, diversity rapid risk temperature Hussner Warming Yan caused ecosystem exotic hyacinth increasing nitrogen nutrient ornamental philoxeroides, positive Bot. Chinese Science Supplementary accelerate aquaticum crassipes, hygrophila invasiveness latitudes plants. px; {font-family Figure However, Hussner, Myriophyllum North Plants and/or aquarium biomass control economic flooding font-size introduction macrophyte major northern regions sediment warming, ./j.-...x Change Effects Espinar Front. Hydrobiologia Lake Li, National Nature Plant. Species Yang affect caroliniana clonal double; environmental expanded international latitudinal significantly species, species. studies study trades waters weed ./.. Africa. Agasicles America, China: Data Ding, FIGURE Gao Huang Pistia Press. Pyšek Qin Shen Sorte Thomaz Water activities alligator assessment biotic booming border-color border-width collab: countries dispersal distributions double-edged establishment example, future habitats however, interactions invaders, lake large level macrophytes organic ornamental, overwintering philoxeroides. precipitation provide published purification reproduction resistance responses shallow solid; stratiotes stratiotes, submerged sword usually years, {font-style {font-weight ./SP.J... ./cjpe.. ./fpls.. ./j.aquabot... Acta Appl. Azolla Brachiaria Carpenter Climate Ecology Effect Freshw. Furthermore, Invasion Inventory Manage. Material New Ren River Siemann Statistics Table Weed Xie ability accelerating addition, aggravated agricultural approximately areas article average b). beetle biodiversity bold canadensis carbon certain change. changes cold courier; decrease deposition economy ecosystems, effects. em; enemy events filiculoides findings free-floating growing growth, including indicates instance, landscaping, leaf literatures morphological new online oxygen phosphorus photosynthetic plasticity pt;} recent reduce related reported resources, sessilis significant terrestrial traits uses world


ZOOM - jQuery photo gallery plugin
Features:
- easy to install and use
- slim design
- animated transition when changing between images
- keyboard shortcuts: arrows for previous/next image and escape for close
- images resize to fit the screen
- compatible with mobile devices
How to use
Include the stylesheet and javascript into the header and add the images (class gallery required, style as desired):


{% extends "layout/crm_layout.html" %} {% block header %}
| Name | Phone | Location | Director Details | Category | Sector | Nature of Business | Date of Issues | Actions |
|---|---|---|---|---|---|---|---|---|
| {{ client.company_name }} | 0{{ client.company_phone }} | {{ client.physical_location }} | {{ client.director_info }} | {% if client.category == 22200 %} Category A {% elif client.category == 62000 %} Category B {% elif client.category == 154000 %} Category C {% elif client.category == 300000 %} Category D {% else %} Not added {% endif %} | {{ client.sector }} | {{ client.nature_of_business }} | {{ client.date_of_issue }} | {% if employee.position.initials == "HRM" or employee.position.initials == "GM" or employee.position.initials == 'ME1' or employee.position.initials == 'ME2' or employee.position.initials == 'ME3' %} edit delete zoom_in {% else %} zoom_in {% endif %} |


Experts in bathrooms, kitchens, and additions. For a free estimate call us at<PHONE_NUMBER> or email<EMAIL_ADDRESS>Each new project is a chance to build on our reputation. Our network of veteran builders and skilled craftsman will make that dream addition a reality!
Tired waiting for the cable guy to show up (some time between 8:00 AM and 6:00 PM)? We're a small business that values our clients' time. We'll meet your deadlines, even if that means working nights or weekends!
N & C Contractors is a family-owned firm with strong roots in the area. Operating in Northern Virginia for the last five years, we'll be here for the next twenty-five!


mybox.connector.one
On
Off
brightness
One Color
Fade
Party
Save
Reset and discard config
Project Page


Representation agreement signed with
HP UK
HP DE
Invoice type
Commission invoice
Fee invoice raised on behalf of artist
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More rain and snow in the forecast for Thanksgiving
by Julie Wootton-GreenerMore precipitation is in the forecast, and that could impact Thanksgiving holiday travelers next week.
Rain for the Las Vegas Valley and snow for Mt. Charleston is likely from Wednesday through Friday, according to the National Weather Service.
Caleb Steele, a meteorologist with the National Weather Service, said there’s concern about Thanksgiving travel because of heavy rain in the forecast and snow that could impact mountain passes.
“That’s what we’re watching now,” he said, but added there aren’t a lot of details yet.
A chance of rain and snow starts Wednesday morning, and it’s most likely on Thursday and Friday, Steele said.
Next week’s storm system has the potential to produce “probably quite a bit” of rain and snow — as much or more than the storm that hit earlier this week, he said.
Mt. Charleston could get “feet of snow” during next week’s storm, he said, and snow could impact lower elevations, too — even Red Rock Canyon.
For this weekend, Saturday and Sunday’s high temperature is expected at 62 degrees. Temperatures are forecast to drop slightly Tuesday, with an expected high of 56.


Won the Grand Prize in the Unilever Bright Future Grant at 2018 Nationals
Pitched at the Pure Pitch Rally in Kansas City
Participated in the TCU Values & Ventures competition
We have some facts about Feed KC


Arba Minch (Amharic: አርባ ምንጭ, "forty springs") is a city and separate woreda in southern Ethiopia; the first common name for this city was Ganta Garo. Located in the Gamo Gofa Zone of the Southern Nations, Nationalities, and Peoples Region about 500 kilometers south of Addis Ababa, at an elevation of 1285 meters above sea level. It is the largest town in Gamo Gofa Zone and the second town in SNNPR next to Awassa. It is surrounded by Arba Minch Zuria woreda.
Arba Minch is known as a source for fruit, including mango, banana, orange, apple, guava and pineapple, and is also known for its fish farms] Indicating its richness of fish a local singer named Abile Chedo sang the song "Nu Dere Gamo Gofa Oycha Arbaminche muziri kalsi yedes Abaya-Chamo mole". It is the home of Arba Minch University and the Southwest Synod of the Mekane Yesus Church. The town also is served by Arba Minch Airport (ICAO code HAAM, IATA AMH).
PLACES TO VISIT
1-Dorze tribe
2-Explore Omo Valley-- Sightseeing Tours, Nature & Wildlife Tours, Day Trips
3-Chamo Lake- Bodies of Water
4-Arbaminich town,Ne
Elevation: 1,800 m
Area: 28 km²
Weather: 20°C, Wind W at 6 km/h, 69% Humidity
Population: 649,429 (2012)


Add new Product
to Your List
Name of Product
Amount of Product
Kilograms
Pieces
Select Product Category
-- select a category --
Vegetables
Fruits
Dairy
Breadstuff
Others
Add Product
Amount of all products:
0


Welcome, this is grande.js
"Make every detail perfect and limit the number of details to perfect." - Jack Dorsey
Style your text to how you think and put the feeling into your words. Just select any text and choose how you want it to look from the menu.
- Create a bulleted list simply by typing "- " or "* " and h itting enter
- Assign the most important tasks in your day by starting the line with "1. "
- What's on your mind today?
Two enters to create a divider to separate your content.
Let your users express themselves. Take a look at the project on Github here.


Data API Prototype
Welcome to this data API. To get started, click on one of the datasets below.
Datasets
- Sample Dataset Contains selected individual income tax return data items classified by state and county.
_within file="layout.html">
Welcome to this data API. To get started, click on one of the datasets below.


|
PSEUDO-IRC-SERVER
1.0
Near-IRC server : A simplified IRC server not in accordance with RFC 1459
|
Class representing an abstract command. More...
Public Member Functions | |
| virtual quint8 | execute ()=0 |
| virtual quint8 | verify ()=0 |
Static Public Member Functions | |
| static Command * | getCommand (Client *c, Frame &frame) |
| Get a parameterized command object from a raw Frame object. More... | |
Protected Member Functions | |
| Command () | |
| Constructor. | |
Class representing an abstract command.
This class encapsulate a request as an object. It uses the pattern Command.
Get a parameterized command object from a raw Frame object.
This method uses the parameters and the command id code contained in the Frame object to return a specialized command (inherited from Command) and parameterized correctly, ready to be self verified and executed.


To develop a model that can speak in voice which user wants
To develop a model that can speak in various voices by a single model
To replace voice actors with speech synthesis model
| OS | Linux (Ubuntu 16.04 LTS) | ||
|---|---|---|---|
| Programming Language | Python3 | ||
| Frameworks | TensorFlow |
| 참여 기간 | 2019.1 - 2019.4 | |||
|---|---|---|---|---|
| 수행 역할 | KR/EN Speech Datasets 탐색 | KR/EN Speech Datasets Preprocessing | Hyper Parameters 조정 | Attention의 Alignment 조정 |


This page demonstrates how to take the output of abcjs and make a nicely formatted PDF out of it. It does that by using the browser's built in print capability. The browser's "Print Preview" dialog contains an option to "print to PDF". (It is useful to use the "oneSvgPerLine" option when printing. This will keep the browser from breaking the music in the middle of a staff when there is a page break.)
- Use the input dialog below to create the music you wish to print.
- Use the music player to test your input for typos.
- Click the "print" button to save as PDF.


WhatsApp set to get two new Dark Modes that make the app much easier on the eyes
The beta version of the WhatsApp app for iPhone includes a dark theme with two configurations, that make the app much easier to use in dark settings
by Shivali Best, https://www.facebook.com/shivalibestjournalist/With its distinctive lime green and white design, WhatsApp isn’t exactly easy on the eyes.
But the popular messaging app is set to turn to the dark side, with a new report suggesting that it could soon launch two new Dark Modes.
The report, by WABetaInfo, points to evidence in the latest iPhone beta release, which contains a dark theme with two possible configurations.
The first configuration features very dark colours with a black background, while the second features slightly lighter shades of grey.
Both versions also show the text bubbles in dark hues.
WABetaInfo explained: “It’s not clear yet if WhatsApp will allow us to choose the configuration that we prefer to use.
“Actually it seems that WhatsApp will automatically choose the configuration, based on the device accessibility settings, but it’s still too soon to say seen that the feature is under development.”
Sadly, it remains unclear when WhatsApp plans to roll out the new dark modes.
However, the fact that they’re featured in the beta version of the app indicates that there’s not long to wait before it’s available for all users!
WhatsApp is one of the few apps yet to include a Dark Mode option for users.
Instagram finally launched its dark mode last month, which changes the background colour of the app window to black.
Adam Mosseri, head of Instagram, announced the update on Twitter.
He wrote: “Starting today, you can use Instagram in dark mode on iOS 13 or Android 10. Turn dark mode on your phone to try it out.”


White people should be allowed to identify as black, uni union says
A university union has said that people should be able to choose which skin colour they identify with.
The Universities and Colleges Union says that regardless of skin tone, people should be able to say if they identify as black.
The body, which represents 120,000 academics, set out their stance after facing criticism over the labelling of transgender people, saying they support self-identification in a variety of areas.
The union said: ‘Our rules commit us to ending all forms of discrimination, bigotry and stereotyping. UCU has a long history of enabling members to self-identify whether that is being black, disabled, LGBT+ or women.’
They added: ‘UCU also supports a social, rather than a medical, model of gender recognition that will help challenge repressive gender stereotypes in the workplace and in society.’
Advertisement Advertisement
In the US Rachel Dolezal self-identified as black but was embarrassingly exposed as a white woman during a TV interview, leading her to face accusations of racism.
She quit as an official at the National Association for the Advancement of Colored People in 2015 after her parents said she was not black.
They showed a picture of her with blonde hair and pale white skin.
She continued to identify as black, once telling Lorraine that she was ‘transblack’.
Sacha Baron Cohen’s character Ali G came in for allegations of racism. He would ask interview subjects ‘is it because I is black?’ despite being white.
Sussex University philosophy professor Kathleen Stick said the union’s position on race was ‘nonsensical, anti-intellectual propaganda.’
Got a story for Metro.co.uk?
Get in touch with our news team by emailing us at<EMAIL_ADDRESS>For more stories like this, check our news page.


?6
7
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v
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copyright
reserved
botanical
Garden
THE
NEW
YORK
BOTANICAL
GARDEN
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of
Puerto
Rico
No.
101489
IMAGED
BOTANICAL
Dipholis
cubensis
(Griseb.)
Pierre
Shrub
or
small
tree,
$-6
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high.
Serpentine
barrens:
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2i?0
m.
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Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
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--- layout: default title: Parts of Sentences—Geology of Washington, Part 1 ---
Subject predicate When? Where? Why? How?
This sentence demonstrates how conjunctions such as and, but, and or are marked.
The earth's surface is constantly changing. Sometimes the changes are sudden. When Mt. St. Helens erupted in 1980, the mountain suddenly became 1300 feet shorter. The volcano spewed out smoke and ash. This ash fell on eastern Washington. It became part of the soil there.
Sudden changes also happened during some huge floods over 10,000 years ago. During the last ice age, the world was much colder. In a canyon in what is now northern Idaho, ice built up. The ice made a natural dam about half a mile high, blocking the Clark Fork River. The water from the river made a huge lake in Idaho and Montana. At last, when the water was about half a mile deep, the ice dam began to float. Then the dam broke into pieces.
The water suddenly rushed out from behind the dam. For several days the water and ice flowed through eastern Washington in a huge flood. In those few days the flood carried away topsoil, rocks, and huge boulders from the region now called the Channeled Scablands. The water eventually made its way to the Columbia River and to the Pacific Ocean.
After about a week, when the lake had drained completely, a new ice dam began to form. Because this happened many times, there were many floods before the last ice age ended. Each time an ice dam formed, water backed up as before until the dam finally broke again. The largest floods flowed with ten times as much water as now flows in all the rivers of the world!


open class Key
Key is the base type which represents a key used for encryption/decryption.
Every Key has an algorithm (format), and can be exported as an array of bytes.
See Also
| <init> |
Key(bytes: ByteArray, algorithm: String = DEFAULT_ALGORITHM)
Construct a Key from an existing byte source, optionally specifying the algorithm. |
| algorithm |
val algorithm: String |
| bytes |
val bytes: ByteArray |
| jdkSecretKey |
val jdkSecretKey: SecretKey |
| DEFAULT_ALGORITHM |
const val DEFAULT_ALGORITHM: String
This is the defailt algorithm used for creating a Key from a ByteArray (when none is specified). |
| PasswordBasedKey |
class PasswordBasedKey : Key
PasswordBasedKey represents a Key which is derived from a password. |


{% extends "all-app/base.html" %} {% block styles %} {{block.super}} {% endblock %} {% block content %} {{bock.super}}
CollabStudio is a collaborative cloud based music studio that lets anyone,
regardless of technical skills or ability, quickly and easily make professional
quality music anywhere, anytime and with anyone.
*No experience necessary.
collabStudio is not just any music production software, but created from the
ground up to empower collaboration and making music together.
Whether it's chatting with friends and music lovers across the planet or
creating a private group to collaborate on a track you can simply drag and
drop sounds and recordings back and forth to instantly, and simply make
music together.
Making music is great. Making it together is better.
CollabStudio is a vibrant community of creators and music lovers from all walks of life and of all ages. Positivity, feedback and support is at the core. Create, share and join…


Home
Student Login
Faculty Login
Faculty Registration
Registration

Id
Name
Username
Password
Date Of Birth
Phone no.
Email-Id


"SHALLECHETH", THE GATE OF i.e., “the gate of casting out,” hence supposed to be the refuse gate; one of the gates of the house of the Lord,“by the causeway of the going up” i.e., the causeway rising up from the Tyropoeon valley = valley of the cheesemakers (1 Chronicles 26:16).
"SHALLECHETH", THE GATE OF i.e., “the gate of casting out,” hence supposed to be the refuse gate; one of the gates of the house of the Lord,“by the causeway of the going up” i.e., the causeway rising up from the Tyropoeon valley = valley of the cheesemakers (1 Chronicles 26:16).


javascript Test
which is a scripting language
(10mks)
Jquery
javascript
Which of the following is a logical operator
(10mks)
===
||
What does mutator methods do to an array?
(10mks)
Modify Array
Don't modify
How do you set a constant in Javascript?
(10mks)
Let
var
Which one is
NOT
used to show a pop-up box?
(10mks)
Alert()
Console.log()
Which one adds an element at the end of an array?
(10mks)
.push()
.pop()
Submit
Retake Test


2 Chronicles 14:6
And he built fenced cities in Judah: for the land had rest, and he had no war in those years; because the LORD had given him rest.


Loading...
Last Update:
Gujarat Overall
Confirmed
Tested
Recovered
Deaths
Quarantined
Confirmed
Tested
Recovered
Deaths
Quarantined
Options


| spect_match {pomp} | R Documentation |
Estimation of parameters by matching power spectra
## S4 method for signature 'data.frame'
spect_objfun(
data,
est = character(0),
weights = 1,
fail.value = NA,
vars,
kernel.width,
nsim,
seed = NULL,
transform.data = identity,
detrend = c("none", "mean", "linear", "quadratic"),
params,
rinit,
rprocess,
rmeasure,
partrans,
...,
verbose = getOption("verbose", FALSE)
)
## S4 method for signature 'pomp'
spect_objfun(
data,
est = character(0),
weights = 1,
fail.value = NA,
vars,
kernel.width,
nsim,
seed = NULL,
transform.data = identity,
detrend = c("none", "mean", "linear", "quadratic"),
...,
verbose = getOption("verbose", FALSE)
)
## S4 method for signature 'spectd_pomp'
spect_objfun(
data,
est = character(0),
weights = 1,
fail.value = NA,
vars,
kernel.width,
nsim,
seed = NULL,
transform.data = identity,
detrend,
...,
verbose = getOption("verbose", FALSE)
)
## S4 method for signature 'spect_match_objfun'
spect_objfun(
data,
est,
weights,
fail.value,
seed = NULL,
...,
verbose = getOption("verbose", FALSE)
)
data |
either a data frame holding the time series data,
or an object of class ‘pomp’,
i.e., the output of another pomp calculation.
Internally, |
est |
character vector; the names of parameters to be estimated. |
weights |
optional numeric or function.
The mismatch between model and data is measured by a weighted average of mismatch at each frequency.
By default, all frequencies are weighted equally.
|
fail.value |
optional numeric scalar;
if non- |
vars |
optional; names of observed variables for which the power spectrum will be computed. By default, the spectrum will be computed for all observables. |
kernel.width |
width parameter for the smoothing kernel used for calculating the estimate of the spectrum. |
nsim |
the number of model simulations to be computed. |
seed |
integer.
When fitting, it is often best to fix the seed of the random-number generator (RNG).
This is accomplished by setting |
transform.data |
function; this transformation will be applied to the observables prior to estimation of the spectrum, and prior to any detrending. |
detrend |
de-trending operation to perform. Options include no detrending, and subtraction of constant, linear, and quadratic trends from the data. Detrending is applied to each data series and to each model simulation independently. |
params |
optional; named numeric vector of parameters.
This will be coerced internally to storage mode |
rinit |
simulator of the initial-state distribution.
This can be furnished either as a C snippet, an R function, or the name of a pre-compiled native routine available in a dynamically loaded library.
Setting |
rprocess |
simulator of the latent state process, specified using one of the rprocess plugins.
Setting |
rmeasure |
simulator of the measurement model, specified either as a C snippet, an R function, or the name of a pre-compiled native routine available in a dynamically loaded library.
Setting |
partrans |
optional parameter transformations, constructed using Many algorithms for parameter estimation search an unconstrained space of parameters.
When working with such an algorithm and a model for which the parameters are constrained, it can be useful to transform parameters.
One should supply the |
... |
additional arguments supply new or modify existing model characteristics or components.
See When named arguments not recognized by |
verbose |
logical; if |
In spectrum matching, one attempts to minimize the discrepancy between a POMP model's predictions and data, as measured in the frequency domain by the power spectrum.
spect_objfun
constructs an objective function that measures the discrepancy.
It can be passed to any one of a variety of numerical optimization routines, which will adjust model parameters to minimize the discrepancies between the power spectrum of model simulations and that of the data.
spect_objfun
constructs a stateful objective function for spectrum matching.
Specifically, spect_objfun
returns an object of class ‘spect_match_objfun’, which is a function suitable for use in an optim
-like optimizer.
This function takes a single numeric-vector argument that is assumed to contain the parameters named in est
, in that order.
When called, it will return the (optionally weighted) L^2
distance between the data spectrum and simulated spectra.
It is a stateful function:
Each time it is called, it will remember the values of the parameters and the discrepancy measure.
Some Windows users report problems when using C snippets in parallel computations.
These appear to arise when the temporary files created during the C snippet compilation process are not handled properly by the operating system.
To circumvent this problem, use the cdir
and cfile
options to cause the C snippets to be written to a file of your choice, thus avoiding the use of temporary files altogether.
Since pomp cannot guarantee that the final call an optimizer makes to the function is a call at the optimum, it cannot guarantee that the parameters stored in the function are the optimal ones. Therefore, it is a good idea to evaluate the function on the parameters returned by the optimization routine, which will ensure that these parameters are stored.
If you use C snippets (see Csnippet
), a dynamically loadable library will be built.
As a rule, pomp functions load this library as needed and unload it when it is no longer needed.
The stateful objective functions are an exception to this rule.
For efficiency, calls to the objective function do not execute pompLoad
or pompUnload
:
rather, it is assumed that pompLoad
has been called before any call to the objective function.
When a stateful objective function using one or more C snippets is created, pompLoad
is called internally to build and load the library:
therefore, within a single R session, if one creates a stateful objective function, one can freely call that objective function and (more to the point) pass it to an optimizer that calls it freely, without needing to call pompLoad
.
On the other hand, if one retrieves a stored objective function from a file, or passes one to another R session, one must call pompLoad
before using it.
Failure to do this will typically result in a segmentation fault (i.e., it will crash the R session).


0.15 Release “Ich bin ein berliner”
The PiTiVi team is proud to announce the 0.15 release.
This will be the last release using the “traditional” core/engine of PiTiVi. The next releases will be based on GStreamer Editing Services (GES) and should thus depart significantly from this release in terms of performance, features and stability.
For the best user experience, the PiTiVi team strongly recommends that users have all the latest official GStreamer libraries and plugins installed.
Features of this release
- A new transformation feature allows resizing, panning and cropping clips directly in the previewer
- Automatic clip alignment by analyzing soundtracks to sync multicamera footage
- Ability to have presets for rendering
- Default set of project settings and rendering presets
- Cleaner preferences dialog
- Integrated offline user manual
- Cleaner advanced codec settings dialog
- Improved video thumbnailing performance
- “Soft dependencies” manager to warn the user of features requiring additional packages
- Port to gtkbuilder
- Respect GNOME's button icons setting
- Improved startup time
- Code cleanups and remove dead code
- Properly show property descriptions (blurbs) for advanced codec settings
Hard requirements
- gstreamer >= 0.10.28
- gst-python >= 0.10.19
- gnonlin >= 0.10.16
- pygtk >= 2.18.0
- gtk >= 2.24.0
- Python >= 2.5
- zope.interface (http://www.zope.org/Products/ZopeInterface)
- setuptools (http://peak.telecommunity.com/DevCenter/setuptools)
- pygoocanvas (http://live.gnome.org/GooCanvas)
- pyxdg (http://www.freedesktop.org/wiki/Software/pyxdg)
Soft requirements
- frei0r for the transformation feature
- Numpy for the auto aligner feature
The PiTiVi team recommends satisfying those dependencies as much as possible for an optimal user experience.
Known Issues
- Everything listed in here
- See also Performance problems in 0.13.4.
Contributors
Ranked by commits:
108 Alex Băluț
88 Jean-François Fortin Tam
52 Thibault Saunier
25 Feroze Naina
10 Lubosz Sarnecki
10 Daniel Mustieles
10 Mario Blättermann
8 Marek Černocký
7 Benjamin M. Schwartz
7 Andrej Žnidaršič
6 Stéphane Maniaci
4 Hicham HAOUARI
4 Kjartan Maraas
3 Daniel Korostil
3 ipraveen
2 António Lima
2 Brandon Lewis
2 Bruno Brouard
2 Gianvito Cavasoli
2 Daniel Nylander
2 Matej Urbančič
2 Мирослав Николић
1 Edward Hervey
1 Gabriel Speckhahn
1 Gil Forcada
1 James Putt
1 Jorge González
1 Luis de Bethencourt
1 Martin Srebotnjak
1 Peter Mráz
1 Peteris Krisjanis
1 Piotr Drąg
1 Yuri Myasoedov
Download
PiTiVi source tarballs are available on gnome FTP: http://ftp.gnome.org/pub/GNOME/sources/pitivi/0.15/
See the website for distribution-specific packages.
Information and Feedback
- Information for users and developers can be found on the PiTiVi website : http://www.pitivi.org
- Comments and feedback are welcome.
- Mailing-list<EMAIL_ADDRESS>- PiTiVi bug-tracker : http://bugzilla.gnome.org/browse.cgi?product=pitivi
Bugs Fixed
See the [http://bugzilla.gnome.org/buglist.cgi?product=pitivi;target_milestone=0.14.1;target_milestone=0.14.2;target_milestone=0.15 list of bugs fixed in 0.15 on Bugzilla
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