The orgchart comes with different features all demonstrated in the following eksemples.
Attention:
I order to show the items in the orgchart as selected you need to add following style to your css:
.ms-Persona.is-selected { background-color: #c7e0f4; }
The style is suggested as change for the Office UI Fabric but is not yet part of the release.
This example shows the orgchart in it's most simple form without using any advanced features. Just a list with images and names.
This markup:
<uif-org-chart> <uif-org-chart-group> <uif-org-chart-persona-list> <uif-org-chart-persona ng-repeat="person in vm.items" > <uif-org-chart-image ng-src="person.imageUrl"></uif-org-chart-image> <uif-org-chart-details> <uif-org-chart-primary-text>{{person.name}}</uif-org-chart-primary-text> </uif-org-chart-details> </uif-org-chart-persona> </uif-org-chart-persona-list> </uif-org-chart-group> </uif-org-chart>
Renders this:
The example demonstrates how the orgchart can be grouped by the property of your choice by using the uifOrgChartGroupBy filter. The images is rendered with the 'square'-style. The uif-select-mode is set to multiple. The selected items can be retrieved from the vm.selectedItems1-array.
This markup:
<uif-org-chart uif-select-mode="multiple" uif-selected-items="vm.selectedItems1"> <uif-org-chart-group ng-repeat="group in vm.items | uifOrgChartGroupBy: 'team'"> <uif-org-chart-group-title>{{group}}</uif-org-chart-group-title> <uif-org-chart-list> <uif-org-chart-persona uif-style="square" ng-repeat="person in vm.items | filter: {'team': group}" uif-item="person" uif-presence="person.presence"> <uif-org-chart-image ng-src="person.imageUrl"></uif-org-chart-image> <uif-org-chart-presence></uif-org-chart-presence> <uif-org-chart-details> <uif-org-chart-primary-text>{{person.name}}</uif-org-chart-primary-text> <uif-org-chart-secondary-text>{{person.country}}</uif-org-chart-secondary-text> </uif-org-chart-details> </uif-org-chart-persona> </uif-org-chart-list> </uif-org-chart-group> </uif-org-chart>
Renders this:
| Name | Team |
| {{selitem.name}} | {{selitem.team}} |
In this example the uif-select-mode is set to 'single' and presence is not used. The uif-selected on the uif-org-chart-persona-directive was used to pre-select the items when the data is applied to the chart. Please note that if multiple items has the 'selected' value set to true and the uif-select-mode is set to single, only the last item would be selected.
This markup:
<uif-org-chart uif-select-mode="single" uif-selected-items="vm.selectedItems2"> <uif-org-chart-group ng-repeat="group in vm.items | uifOrgChartGroupBy: 'team'"> <uif-org-chart-group-title>{{group}}</uif-org-chart-group-title> <uif-org-chart-list> <uif-org-chart-persona ng-repeat="person in vm.items | filter: {'team': group}" uif-item="person" uif-presence="person.presence" uif-selected="person.selected2"> <uif-org-chart-image ng-src="person.imageUrl"></uif-org-chart-image> <uif-org-chart-details> <uif-org-chart-primary-text>{{person.name}}</uif-org-chart-primary-text> <uif-org-chart-secondary-text>{{person.country}}</uif-org-chart-secondary-text> </uif-org-chart-details> </uif-org-chart-persona> </uif-org-chart-list> </uif-org-chart-group> </uif-org-chart>
Renders this:
| Name | Team |
| {{selitem.name}} | {{selitem.team}} |


A channel to discuss trading. For useful links and more info click the pinned messages to the right.
100 messages
Before 05-Dec-19 12:00 AM
PTYX22-Aug-19 09:53 PM
@tolken What about China? KMD hasn't penetrated the asian markets.
phideas22-Aug-19 10:03 PM
“All of the value of issuance comes from holders” - zooko(edited)
tolken23-Aug-19 02:51 AM
@PTYX just fuckin with ya, I thought that wwould be obvious when two words were promised, but only one delivered. Seriously though, Redfox and followers keep teasing about China via twitter, no idea what they’re talking about.(edited)
1
polycryptoblog23-Aug-19 05:03 AM
I have heard some whisperings , if it goes through it will be a good partnership for ecosystem
Dear whale, youre doing it wrong. Youre supposed to be selling 300000 KMD. KMD is not ever allowed to go up.
 Not allowed to ever increase in value. So stable.
actionslacks23-Aug-19 08:21 AM
w-whalebro?
CoinKing8823-Aug-19 08:25 AM
Would be nice to see kmd doing a 30% day like other alts do too
That would get the interest of traders going and is good for volume
Mark8123-Aug-19 08:27 AM
Altzeazooon?? Trying to whisper that incase bulls runaway....
CoinKing8823-Aug-19 08:28 AM
1 big move of btc and we back to 7k range in a heartbeat
Alexfrog23-Aug-19 08:28 AM
alts? what are you talking about. BTC will be the only coin and fees will be $10000 per send
CoinKing8823-Aug-19 08:28 AM
But green is always nice to see on a friday
actionslacks23-Aug-19 08:31 AM
you can go on Coinbene, put a highish bid and the bots will move to your price. not sure how much to go up 30% but it's probably just a few btc. child's play.
CoinKing8823-Aug-19 08:34 AM
Orderbook is pretty shallow anyway on binance, sells up to 10k only 16btc total
actionslacks23-Aug-19 08:57 AM
it was a 10btc wall at 7.77k sats last week, now it's 25btc at 8k sats. seems like an experiment.
My folio only needs to 2x for me to be in good profit
lmao
i don't think I'm ever selling for fiat again tho
the time for selling into fiat is over
CoinKing8823-Aug-19 02:16 PM
Weird that trades went through on bitmax. I would figure it isnt that hard to put some simple protection in place (if BTC price deviated more that x% from source A, B and C then all trading halts or something?)
For all of those that feel hope is lost for #altseason.. Its not.. Its not at all.. Remember, EVERYTHING in life is cyclical. THis chart has followed the same (cycle) trend for 6 years.. Lets keep it going another 3 years!!! THis chart indicates, a bounce is on the horizo...
once i saw that buy wall at 800 get dumped into without it being taken down i knew there are plans for this to go quite a bit higher
10k here we come
dan.23-Aug-19 04:37 PM
if this is the same person at 7777 sats that wall wont be taken down. but thats an if
p.23-Aug-19 05:00 PM
Eat my ass
1
1
LocoMB23-Aug-19 06:43 PM
I noticed a whole flurry of new altcoin exchanges- interesting, hopefully a cpl of these last a bit longer than the dead ones like craptsy, cryptopia etc..
actionslacks23-Aug-19 07:31 PM
i noticed that as well. And the majority of alt's volume is going through non kyc exchanges. All of these potential criminals, such a shame.
altcoinist23-Aug-19 07:42 PM
@actionslacks why would criminals use unstable cryptocurrencies instead of cash?
actionslacks23-Aug-19 07:45 PM
because their trying to impress the ladies with their Leeet h4x. Everyone knows chicks love crypto.
2
1
the majority non-kyc alt volume is a bullish environment for kmd's mobile dex release.
Thanks to @radix42 implementation of @KomodoPlatform on ARM arch, for the first time ever we have been able to run a zcash fork on a #raspberrypi4 using #aarch64 #manjaro https://t.co/otxPaRVZWI
#Komodo #Zcash #piratechain #RaspberryPi
First time ever to run a zcash fork (komodo in this case) on a raspberry pi
full node.
i think the nspv code will be merged soon and you will be able to run a node on a $35 computer with no disk space
2
𝙊𝙊𝙊𝙊23-Aug-19 08:27 PM
I don't want to burst any bubbles, but to my knowledge @Oliver Westbrook had Veruscoin (strictly speaking also a ZCASH fork) running on his Pi4 some time ago already. Also on a ARM arch developed by @radix42 ...
radix4223-Aug-19 08:28 PM
was it a pi?
𝙊𝙊𝙊𝙊23-Aug-19 08:29 PM
Yes, as far as I know, it was
radix4223-Aug-19 08:29 PM
i know it was various arm boards
doh!
getting verus on arm was a royal pita omg
𝙊𝙊𝙊𝙊23-Aug-19 08:29 PM
I have a RockPi running it, but that's comparing aoranges with apples
You did good... I have my Pi RockPi populated with Verus, KMD, Pirate, LUMBER, ZEXO and K64 full nodes(edited)
radix4223-Aug-19 08:30 PM
nice!
𝙊𝙊𝙊𝙊23-Aug-19 08:31 PM
Also Denarius, but that node is crap... Need to ditch that one
@dukeleto @PirateChain @radix42 @PirateChainUK @PiratechainDE Running 6 full nodes ( $VRSC, $PIRATE, $ZEXO, $KMD, $K64 & $LUMBER), staking and mining on similar hardware (RK3399). Your Piratechest is not limited to Pirate!!!
Verus Coin. Contribute to monkins1010/VerusCoin development by creating an account on GitHub.
siu - Chainmakers23-Aug-19 09:18 PM
Awesome!
Oliver Westbrook23-Aug-19 09:19 PM
I’m not sure the status yet, but last I saw there’s a memory leak that Chris is working to track down, so I would be cautious to use it for anything beyond testing at this time
siu - Chainmakers23-Aug-19 09:22 PM
I left it syncing kmd
Lets see if it doesnt burn down the pi
SHossain23-Aug-19 09:32 PM
@siu - Chainmakers are you using any fan for the raspi?
Make your Raspberry Pi 4 seriously cool with Fan SHIM! This 30mm no-solder, controllable CPU fan with RGB LED and tactile switch will give your Raspberry Pi significantly better thermal performance. It's whisper-quiet too!
Oliver Westbrook23-Aug-19 09:55 PM
@siu - Chainmakers I bootstrapped mine, much faster fan is a good idea, none on this one yet


Blend and Composite Modes Explorer
glif library
destination (Cb)
source (Cs)
output
Blend Mode:
normal
lighten
darken
multiply
screen
overlay
hard-light
color-dodge
color-burn
soft-light
subtract
difference
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pin-light
Composite:
source-over
destination-over
destination
copy
blend


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package client2server
Ordering
- Alphabetic
Visibility
- Public
- All
Type Members
- case class AnonymousAudienceChat(filePath: String) extends ClientToServerVillageExample with Product with Serializable
- case class Board(filePath: String) extends ClientToServerVillageExample with Product with Serializable
- case class Chat(filePath: String) extends ClientToServerVillageExample with Product with Serializable
- case class Error(filePath: String) extends VillageExample with Product with Serializable
- case class OnymousAudienceBoard(filePath: String) extends ClientToServerVillageExample with Product with Serializable
- case class OnymousAudienceChat(filePath: String) extends ClientToServerVillageExample with Product with Serializable
- case class OnymousAudienceScroll(filePath: String) extends ClientToServerVillageExample with Product with Serializable
- case class ReceivedChatMessage(filePath: String) extends ClientToServerVillageExample with Product with Serializable
- case class ReceivedFlavorTextMessage(filePath: String) extends ClientToServerVillageExample with Product with Serializable
- case class ReceivedSystemMessage(filePath: String) extends ClientToServerVillageExample with Product with Serializable
- case class Scroll(filePath: String) extends ClientToServerVillageExample with Product with Serializable
- case class Star(filePath: String) extends ClientToServerVillageExample with Product with Serializable
- case class Vote(filePath: String) extends ClientToServerVillageExample with Product with Serializable
Value Members
- object AnonymousAudienceChat extends Serializable
- object Board extends Serializable
- object Chat extends Serializable
- object Error extends Serializable
- object OnymousAudienceBoard extends Serializable
- object OnymousAudienceChat extends Serializable
- object OnymousAudienceScroll extends Serializable
- object ReceivedChatMessage extends Serializable
- object ReceivedFlavorTextMessage extends Serializable
- object ReceivedSystemMessage extends Serializable
- object Scroll extends Serializable
- object Star extends Serializable
- object Vote extends Serializable


search2 (1.4.0 -)
search3 (1.8.0 -)
ⓘ
search3
sorts based on ID3 tags.
API specification can be found here


The Linear Model, Revisited
Reformulating the linear model
Up until now, we have used the following equation to describe the linear model mathematically:
\[\hat{y}_i=\beta_0+\beta_1x_{i1}+\beta_2x_{i2}+\ldots+\beta_px_{ip}\] In this formulation, \(\hat{y}_i\) is the predicted value of the dependent variable for the \(i\)th observation and \(x_{i1}\), \(x_{i2}\). through \(x_{ip}\) are the values of \(p\) independent variables that predict \(\hat{y}_i\) by a linear function. \(\beta_0\) is the y-intercept which is the predicted value of dependent variable when all the independent variables are zero. \(\beta_1\) through \(\beta_p\) are the slopes giving the predicted change in the dependent variable for a one unit increase in a given independent variable holding all of the other variables constant.
This formulation is useful, but we can now expand and re-formulate it in a way that will help us understand some of the more advanced topics we will discuss in this and later chapters. The formula is above is only the “structural” part of the full linear model. The full linear model is given by:
\[y_i=\beta_0+\beta_1x_{i1}+\beta_2x_{i2}+\ldots+\beta_px_{ip}+\epsilon_i\]
I have changed two things in this new formula. On the left-hand side, we have the actual value of the dependent variable for the \(i\)th observation. In order to make things balance on the right-hand side of the equation, I have added \(\epsilon_i\) which is simply the residual or error term for the \(i\)th observation. We now have a full model that predicts the actual values of \(y\) from the actual values of \(x\).
If we compare this to the first formula, it should become clear that every term except the residual term can be substituted for by \(\hat{y}_i\). So, we can restate our linear model using two separate formulas as follows:
\[\hat{y}_i=\beta_0+\beta_1x_{i1}+\beta_2x_{i2}+\ldots+\beta_px_{ip}\]
\[y_i=\hat{y}_i+\epsilon_i\]
By dividing up the formula into two separate components, we can begin to think of our linear model as containing a structural component and a random (or stochastic) component. The structural component is the linear equation predicting \(\hat{y}_i\). This is the formal relationship we are trying to fit between the dependent and independent variables. The stochastic component on the other hand is given by the \(\epsilon_i\) term in the second formula. In order to get back to the actual values of the dependent variable, we have to add in the residual component that is not accounted for by the linear model.
From this perspective, we can rethink our entire linear model as a partition of the total variation in the dependent variable into the structural component that can be accounted for by our linear model and the residual component that is unaccounted for by the model. This is exactly as we envisioned things when we learned to calculate \(R^2\) in previous chapters.
Estimating a linear model
Up until now, we have not discussed how R actually calculates all of the slopes and intercept for a linear model with multiple independent variables. We only know the equations for a linear model with one independent variable.
Even though we don’t know the math yet behind how linear model parameters are estimated, we do know the rationale for why they are selected. We choose the parameters that minimized the sum of squared residuals given by:
\[\sum_{i=1}^n (y_i-\hat{y}_i)^2\] In this section, we will learn the formal math that underlies how this estimation occurs, but first a warning: there is a lot of math ahead.  However, it is useful to know how linear model estimating works “under the hood” and it will help with some of the techniques we will learn later in the book.
Matrix algebra crash course
In order to learn how to estimate linear model parameters, we will need to learn a little bit of matrix algebra. In matrix algebra we can collect numbers into vectors which are single dimension arrays of numbers and matrices which are two-dimensional arrays of numbers. We can use matrix algebra to represent our linear regression model equation using one-dimensional vectors and two-dimensional matrices. We can imagine \(y\) below as a vector of dimension 3x1 and \(\mathbf{X}\) as a matrix of dimension 3x3.
\[ \mathbf{y}=\begin{pmatrix} 4\\ 5\\ 3\\ \end{pmatrix} \mathbf{X}= \begin{pmatrix} 1 & 7 & 4\\ 1 & 3 & 2\\ 1 & 1 & 6\\ \end{pmatrix} \]
We can multiply vectors and matrices together by taking each element in the row of a matrix by the corresponding element in the vector and summing them up:
\[\begin{pmatrix} 1 & 7 & 4\\ 1 & 3 & 2\\ 1 & 1 & 6\\ \end{pmatrix} \begin{pmatrix} 4\\ 5\\ 3\\ \end{pmatrix}= \begin{pmatrix} 1*4+7*5+3*4\\ 1*4+3*5+2*3\\ 1*4+1*5+6*3\\ \end{pmatrix}= \begin{pmatrix} 51\\ 25\\ 27\\ \end{pmatrix}\]
You can also transpose a vector or matrix by flipping its rows and columns. My transposed version of \(\mathbf{X}\) is \(\mathbf{X}'\) which is:
\[\mathbf{X}= \begin{pmatrix} 1 & 1 & 1\\ 7 & 3 & 1\\ 4 & 2 & 6\\ \end{pmatrix}\]
You can also multiple matrices by each other using the same pattern as for multiplying vectors and matrices but now you start a new column each time you move down a row of the first matrix. So to “square” my matrix:
\[ \begin{eqnarray*} \mathbf{X}'\mathbf{X}&=& \begin{pmatrix} 1 & 1 & 1\\ 7 & 3 & 1\\ 4 & 2 & 6\\ \end{pmatrix} \begin{pmatrix} 1 & 7 & 4\\ 1 & 3 & 2\\ 1 & 1 & 6\\ \end{pmatrix}&\\ & =& \begin{pmatrix} 1*1+1*1+1*1 & 1*7+1*3+1*1 & 1*4+1*2+1*6\\ 7*1+3*1+1*1 & 7*7+3*3+1*1 & 7*4+3*2+1*6\\ 4*1+2*1+6*1 & 4*7+2*3+6*1 & 4*4+2*2+6*6\\ \end{pmatrix}\\ & =& \begin{pmatrix} 3 & 11 & 12\\ 11 & 59 & 40\\ 12 & 40 & 56\\ \end{pmatrix} \end{eqnarray*} \]
R can help us with these calculations. the t
command will transpose a matrix or vector and the %*%
operator will to matrix algebra multiplication.
y <- c(4,5,3)
X <- rbind(c(1,7,4),c(1,3,2),c(1,1,6))
X
## [,1] [,2] [,3]
## [1,] 1 7 4
## [2,] 1 3 2
## [3,] 1 1 6
t(X)
## [,1] [,2] [,3]
## [1,] 1 1 1
## [2,] 7 3 1
## [3,] 4 2 6
X%*%y
## [,1]
## [1,] 51
## [2,] 25
## [3,] 27
t(X)%*%X
## [,1] [,2] [,3]
## [1,] 3 11 12
## [2,] 11 59 40
## [3,] 12 40 56
#a shortcut for squaring a matrix
crossprod(X)
## [,1] [,2] [,3]
## [1,] 3 11 12
## [2,] 11 59 40
## [3,] 12 40 56
We can also calculate the inverse of a matrix. The inverse of a matrix (\(\mathbf{X}^{-1}\)) is the matrix that when multiplied by the original matrix produces the identity matrix which is just a matrix of ones along the diagonal cells and zeroes elsewhere. Anything multiplied by the identity matrix is just itself, so the identity matrix is like 1 at the matrix algebra level. Calculating an inverse is a difficult calculation that I won’t go through here, but R can do it for us easily with the solve
command:
inverse.X <- solve(X)
inverse.X
## [,1] [,2] [,3]
## [1,] -0.8 1.9 -0.1
## [2,] 0.2 -0.1 -0.1
## [3,] 0.1 -0.3 0.2
round(inverse.X %*% X,0)
## [,1] [,2] [,3]
## [1,] 1 0 0
## [2,] 0 1 0
## [3,] 0 0 1
Linear model in matrix form
We now have enough matrix algebra under our belt that we can re-specify the linear model equation in matrix algebra format:
\[\mathbf{y}=\mathbf{X\beta+\epsilon}\]
\(\begin{gather*} \mathbf{y}=\begin{pmatrix} y_{1}\\ y_{2}\\ \vdots\\ y_{n}\\ \end{pmatrix} \end{gather*}\), \(\begin{gather*} \mathbf{X}= \begin{pmatrix} 1 & x_{11} & x_{12} & \ldots & x_{1p}\\ 1 & x_{21} & x_{22} & \ldots & x_{2p}\\ \vdots & \vdots & \ldots & \vdots\\ 1 & x_{n1} & x_{n2} & \ldots & x_{np}\\ \end{pmatrix} \end{gather*}\), \(\begin{gather*} \mathbf{\epsilon}=\begin{pmatrix} \epsilon_{1}\\ \epsilon_{2}\\ \vdots\\ \epsilon_{n}\\ \end{pmatrix} \end{gather*}\), \(\begin{gather*} \mathbf{\beta}=\begin{pmatrix} \beta_{1}\\ \beta_{2}\\ \vdots\\ \beta_{p}\\ \end{pmatrix} \end{gather*}\)
Where:
- \(\mathbf{y}\) is a vector of known values of the independent variable of length \(n\).
- \(\mathbf{X}\) is a matrix of known values of the independent variables of dimensions \(n\) by \(p+1\). This matrix is sometimes referred to as the design matrix.
- \(\mathbf{\beta}\) is a vector of to-be-estimated values of intercepts and slopes of length \(p+1\).
- \(\mathbf{\epsilon}\) is a vector of residuals of length \(n\) that will be equal to \(\mathbf{y-X\beta}\).
Note that we only know \(\mathbf{y}\) and \(\mathbf{X}\). We need to estimate a \(\mathbf{\beta}\) vector from these known quantities. Once we know the \(\mathbf{\beta}\) vector, we can calculate \(\mathbf{\epsilon}\) by just taking \(\mathbf{y-X\beta}\).
We want to estimate \(\mathbf{\beta}\) in order to minimize the sum of squared residuals. We can represent this sum of squared residuals in matrix algebra format as a function of \(\mathbf{\beta}\):
\[\begin{eqnarray*} SSR(\beta)&=&(\mathbf{y}-\mathbf{X\beta})'(\mathbf{y}-\mathbf{X\beta})\\ &=&\mathbf{y}'\mathbf{y}-2\mathbf{y}'\mathbf{X\beta}+\mathbf{\beta}'\mathbf{X'X\beta} \end{eqnarray*}\]
If you remember the old FOIL technique from high school algebra (first, outside, inside, last) that is exactly what we are doing here, in matrix algebra form.
We now have a function that defines our sum of squared residuals. We want to choose the values of \(\mathbf{\beta}\) that minimize the value of this function. In order to do that, I need to introduce a teensy bit of calculus. To find the minimum (or maximum) value of a function, you calculate the derivative of the function with respect to the variable you care about and then solve for zero. Technically, you also need to calculate second derivatives in order to determine if its a minimum or maximum, but since this function has no maximum value, we know that the result has to be a minimum. I don’t expect you to learn calculus for this course, so I will just mathemagically tell you that the derivative of \(SSR(\beta)\) with respect to \(\mathbf{\beta}\) is given by:
\[-2\mathbf{X'y}+2\mathbf{X'X\beta}\]
We can now set this to zero and solve for \(\mathbf{\beta}\):
\[\begin{eqnarray*} 0&=&-2\mathbf{X'y}+2\mathbf{X'X\beta}\\ -2\mathbf{X'X\beta}&=&-2\mathbf{X'y}\\ (\mathbf{X'X})^{-1}\mathbf{X'X\beta}&=&(\mathbf{X'X})^{-1}\mathbf{X'y}\\ \mathbf{\beta}&=&(\mathbf{X'X})^{-1}\mathbf{X'y}\\ \end{eqnarray*}\]
Ta-dah! We have arrived at the matrix algebra solution for the best fitting parameters for a linear model with any number of independent variables.
We can also estimate standard errors using this matrix algebra format. To get the standard errors, we first need to calculate the covariance matrix.
\[\sigma^{2}(\mathbf{X'X})^{-1}\]
The \(\sigma^2\) here is the variance of our residuals. Technically, this is the variance of the residuals in the population but since we usually only have a sample we actually calculate:
\[s^2=\frac{\sum(y_i-\hat{y}_i)^2}{n-p-1}\]
based on the fitted values of \(\hat{y}_i\) from our linear model. \(p\) is the number of independent variables in our model.
The covariance matrix actually provides us with some interesting information about the correlation of our independent variables. For our purposes we just want the square root of the diagonal elements, which gives us the standard error for our model. Continuing with the example estimating tomato meter ratings by run time and box office returns in our movies dataset, lets calculate all the numbers we need for an inference test:
#get the predicted values of y
y.hat <- X%*%beta
df <- length(y)-ncol(X)
#calculate our sample variance of the residual terms
s.sq <- sum((y-y.hat)^2)/df
#calculate the covariance matrix
covar.matrix <- s.sq*solve(crossprod(X))
#extract SEs from the square root of the diagonal
se <- sqrt(diag(covar.matrix))
## calculate t-stats from our betas and SEs
t.stat <- beta/se
#calculate p-values from the t-stat
p.value <- 2*pt(-1*abs(t.stat), df)
data.frame(beta,se,t.stat,p.value)
## beta se t.stat p.value
## rep(1, nrow(movies)) 11.09207358 3.269128357 3.392976 7.019316e-04
## Runtime 0.32320152 0.031734307 10.184609 6.617535e-24
## BoxOffice 0.05923506 0.007978845 7.424014 1.540215e-13
#compare to the lm command
summary(model)$coef
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 11.09207358 3.269128357 3.392976 7.019316e-04
## Runtime 0.32320152 0.031734307 10.184609 6.617535e-24
## BoxOffice 0.05923506 0.007978845 7.424014 1.540215e-13
And it all works. As I said at the beginning, this is a lot of math and not something you need to think about every day. I am not expecting all of this will stick the first time around, but I want it to be here for you as a handy reference for the future.
Linear model assumptions
Two important assumptions underlie the linear model. The first assumption is the assumption of linearity. In short, we assume that the the relationship between the dependent and independent variables is best described by a linear function. In prior chapters, we have seen examples where this assumption of linearity was clearly violated. When we choose the wrong model for the given relationship, we have made a specification error. Fitting a linear model to a non-linear relationship is one of the most common forms of specification error. However, this assumption is not as deadly as it sounds. Provided that we correctly diagnose the problem, there are a variety of tools that we can use to fit a non-linear relationship within the linear model framework. We will cover this techniques in the next section.
The second assumption of linear models is that the residual or error terms \(\epsilon_i\) are independent of one another and identically distributed. This is often called the i.i.d. assumption, for short. This assumption is a little more subtle. In order to understand, we need to return to this equation from earlier:
\[y_i=\hat{y}_i+\epsilon_i\]
One way to think about what is going on here is that in order to get an actual value of \(y_i\) you feed in all of the independent variables into your linear model equation to get \(\hat{y}_i\) and then you reach into some distribution of numbers (or a bag of numbers if you need something more concrete to visualize) to pull out a random value of \(\epsilon_i\) which you add to the end of your predicted value to get the actual value. When we think about the equation this way, we are thinking about it as a data generating process in which we get \(y_i\) values from completing the equation on the right.
The i.i.d. assumption comes into play when we reach into that distribution (or bag) to draw out our random values. Independence assumes that what we drew previously won’t affect what we draw in the future. The most common violation of this assumption is in time series data in which peaks and valleys in the time series tend to come clustered in time, so that when you have a high (or low) error in one year, you are likely to have a similar error in the next year. Identically distributed means that you are drawn from the same distribution (or bag) each time you make a draw. One of the most common violation of this assumption is when error terms tend to get larger in absolute size as the predicted value grows in size.
In later sections of this chapter, we will cover the i.i.d. assumption in more detail including the consequences of violating it, diagnostics for detecting it, and some corrections for when it does occur.


Change Log
- Fixed a bug where multiple rotators on the same page would cycle simultaneously despite differing delays.
- More details can be found on the Engage: Rotator Change Log
Known Issues
- Engage: Events 1.1 is incompatible with Engage: Rotator 2.0.1. Please upgrade to Engage: Events 1.2 after installing Engage: Rotator 2.0.1.
- Datepicker on settings page displays inconsistently in some skins


There's nothing here, except for a few Helm charts.
$ helm repo add luzilla https://charts.luzilla-capital.com/
Feel free to check the
index
.
Luzilla Capital GmbH / Impressum / Imprint


Before Change
preds : array-like, shape = (n_samples)
Predictions.
return self.compiled_model_.predict(
X, batch_size=self.test_batch_size, verbose=self.verbose).ravel()
def score(self, X, y):
Returns the mean accuracy on the given test data and labels.
After Change
Predictions.
"""
kwargs = self.filter_sk_params(Sequential.predict, kwargs)
return self.model.predict(X, **kwargs)
def score(self, X, y, **kwargs):
"""Returns the mean accuracy on the given test data and labels.


/*====================================================================* * * Copyright (c) 2013 Qualcomm Atheros, Inc. * * All rights reserved. * * Redistribution and use in source and binary forms, with or * without modification, are permitted (subject to the limitations * in the disclaimer below) provided that the following conditions * are met: * * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * * Redistributions in binary form must reproduce the above * copyright notice, this list of conditions and the following * disclaimer in the documentation and/or other materials * provided with the distribution. * * * Neither the name of Qualcomm Atheros nor the names of * its contributors may be used to endorse or promote products * derived from this software without specific prior written * permission. * * NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE * GRANTED BY THIS LICENSE.  IN NO EVENT SHALL THE COPYRIGHT OWNER * OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT * NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE * OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * *--------------------------------------------------------------------*/ /*====================================================================* * * signed pev_cm_slac_param (struct session * session, struct channel * channel, struct message * message); * * slac.h * * PEV-HLE broadcasts cm_slac_param requests until at least one * matching cm_slac_param confirm is received; matching confirm * has the same run identifier; EVSE-HLE returns information to * the PEV-HLE; * * return 0 on success, -1 on error and 1 on timeout; * * this interaction effectivey synchronizes the PEV-HLE and one * or more EVSE-HLEs by initiating the SLAC protocol sequence; * * MSOUND-TARGET will be FF:FF:FF:FF:FF:FF for SLAC; * NUM_SOUNDS will be 8 for SLAC; * TIME_OUT will be 10 for SLAC; * RESP_TYPE will be 00 for SLAC (???); * FORWARDING_STA will be 00:00:00:00:00:00 for SLAC when RESP_TYPE=0; * APPLICATION_TYPE will be 0 for SLAC; * SECUTITY_TYPE will be 0 for this application; * RunID will be that defined by PEV-HLE; * * send cm_slac_param request then wait up to channel.timeout * milliseconds for a cm_slac_param confirm having the same * RunID as the request; the application type and security * type should be the same as in the request; * * save the msound target, forwarding station, number of sounds, * sounding timeout and response type for use later in the session; * * the forwarding stations is a vague concept; the specification * authors say it should be FF:FF:FF:FF:FF:FF but here, the EVSE-HLE * will set it to the PEV MAC; * *--------------------------------------------------------------------*/ #ifndef PEV_CM_SLAC_PARAM_SOURCE #define PEV_CM_SLAC_PARAM_SOURCE #include <string.h> #include <errno.h> #include "../ether/channel.h" #include "../tools/memory.h" #include "../tools/error.h" #include "../tools/flags.h" #include "../slac/slac.h" signed pev_cm_slac_param (struct session * session, struct channel * channel, struct message * message) { extern byte const broadcast [ETHER_ADDR_LEN]; struct cm_slac_param_request * request = (struct cm_slac_param_request *) (message); struct cm_slac_param_confirm * confirm = (struct cm_slac_param_confirm *) (message); debug (0, __func__, "--> CM_SLAC_PARAM.REQ"); memset (message, 0, sizeof (* message)); EthernetHeader (& request->ethernet, broadcast, channel->host, channel->type); HomePlugHeader1 (& request->homeplug, HOMEPLUG_MMV, (CM_SLAC_PARAM | MMTYPE_REQ)); request->APPLICATION_TYPE = session->APPLICATION_TYPE; request->SECURITY_TYPE = session->SECURITY_TYPE; memcpy (request->RunID, session->RunID, sizeof (request->RunID)); request->CipherSuite [0] = HTOLE16 ((uint16_t) (session->counter)); if (sendmessage (channel, message, (ETHER_MIN_LEN - ETHER_CRC_LEN)) <= 0) { return (debug (1, __func__, CHANNEL_CANTSEND)); } while (readmessage (channel, message, HOMEPLUG_MMV, (CM_SLAC_PARAM | MMTYPE_CNF)) > 0) { if (! memcmp (session->RunID, confirm->RunID, sizeof (session->RunID))) { debug (0, __func__, "<-- CM_SLAC_PARAM.CNF"); if (confirm->APPLICATION_TYPE != session->APPLICATION_TYPE) { debug (session->exit, __func__, "Unexpected APPLICATION_TYPE"); } if (confirm->SECURITY_TYPE != session->SECURITY_TYPE) { debug (session->exit, __func__, "Unexpected SECURITY_TYPE"); } if (_anyset (session->flags, SLAC_COMPARE)) { if (LE16TOH (confirm->CipherSuite) != (uint16_t) (session->counter)) { debug (session->exit, __func__, "session->counter mismatch! PEV=(%d) EVSE=(%d)", LE16TOH (confirm->CipherSuite), session->counter); } } #if SLAC_DEBUG if (_anyset (session->flags, SLAC_VERBOSE)) { char string [256]; debug (0, __func__, "CM_SLAC_PARAM.CNF.MSOUND_TARGET %s", HEXSTRING (string, confirm->MSOUND_TARGET)); debug (0, __func__, "CM_SLAC_PARAM.CNF.NUM_SOUNDS %d", confirm->NUM_SOUNDS); debug (0, __func__, "CM_SLAC_PARAM.CNF.TIME_OUT %d", confirm->TIME_OUT); debug (0, __func__, "CM_SLAC_PARAM.CNF.RESP_TYPE %d", confirm->RESP_TYPE); debug (0, __func__, "CM_SLAC_PARAM.CNF.FORWARDING_STA %s", HEXSTRING (string, confirm->FORWARDING_STA)); debug (0, __func__, "CM_SLAC_PARAM.CNF.APPLICATION_TYPE %d", confirm->APPLICATION_TYPE); debug (0, __func__, "CM_SLAC_PARAM.CNF.SECURITY_TYPE %d", confirm->SECURITY_TYPE); debug (0, __func__, "CM_SLAC_PARAM.CNF.RunID %s", HEXSTRING (string, confirm->RunID)); debug (0, __func__, "CM_SLAC_PARAM.CNF.CipherSuite %d", confirm->CipherSuite); } #endif memcpy (session->FORWARDING_STA, confirm->FORWARDING_STA, sizeof (session->FORWARDING_STA)); memcpy (session->MSOUND_TARGET, confirm->MSOUND_TARGET, sizeof (session->MSOUND_TARGET)); session->NUM_SOUNDS = confirm->NUM_SOUNDS; session->TIME_OUT = confirm->TIME_OUT; session->RESP_TYPE = confirm->RESP_TYPE; return (0); } } return (debug (0, __func__, "<-- CM_SLAC_PARAM.CNF ?")); } #endif


?6
7
8
9
10
the
New
York
copyright
reserved
botanical
Garden
IMAGED
BOTANICAL
GARDE**
NEW
YORK
BOTANICAL
GARDEN
008431
73
3
uJl
SMITHSONIAN
INSTITUTION
From
THE
UNITED
STATES
NATIONAL
HERBARIUM
Plants
of
Puerto
Rico
OLEACEAE
NO:
6978
Jasminum
fluminensis
Veil
LOCALITY:
Fajardo.
Along
trail
from
Cabeza
Chiquita
to
Playa
Convento.
18*22.778N,
65'
38.595W
Elev.:
0
m.
HABITAT:
Early
secondary
forest,
along
trail.
DESCRIPTION:
Twining
vine,
5-6
m
long,
with
numerous
lateral
pendant
branches;
calyx
green;
corolla
with
greenish
tube
and
white
lobes.
COLL:
P.
Acevedo-Rdgz.
&
A.
Siaca
DATE:
19
Dec
1994
Supported
by
funds
from
Smithsonian
Institution
00843173
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


15-year-old boy stabbed at Bronx subway stop
by Craig McCarthyA group of men stabbed teen on a Bronx subway platform Thursday morning, cops said.
The 15-year-old boy was stabbed multiple times in the shoulder while he was on the southbound No. 6 platform at the Westchester Square-East Tremont Avenue station around 11 a.m., according to cops.
Witnesses told police they saw seven men running from the subway stop, leaving the boy bleeding on the platform, cops said.
The 15-year-old was taken to Jacobi Medical Center where he was expected to recover.
It was unclear what caused the brawl to break out, and no arrests have been made, officials said.


Interface for creating, modifying, and viewing landmarks for the currently selected account.
The location of a landmark can be specified in three different ways:
Changes to Fence Radius and Color can be visualized py clicking the Preview button.
Landmark Name must be unique within the account.
Click the Save button to persist a new landmark or changes to an existing one.
Note that saving an existing landmark after changing only the Name creates a new landmark at the exact same location. This feature may be used for creating concentric landmarks with different fence radii.
To create overlapping but offset landmarks, it may be necessary to first reduce the radii of existing landmarks that would be overlapped. Then after creating the new landmark restore the affected fence offsets to their desired values.


This command pops a directory off of the directory stack and cd's to it. See the dirs command for an explanation of the directory stack.


Capacity
15 Vehicles
Revenue
⬆ 1,345 AED
Detections
23
On-time
⬆13 / ⬇7
Capacity
15 Vehicles
Revenue
⬆ 1,345 AED
Detections
23
On-time
⬆13 / ⬇7
Capacity
15 Vehicle
Revenue
⬆ AED 1,345
Detections
23
On-time
+13 / -7
AGMC service center venue map
Capacity stats
Classified Stats
Last Hour performance
Service Performance
24 Hours performance
Line Chart with Points


The actual HTTP server.
The defaults are set to use URL "http://localhost" and low verbosity.
| NEW(port) @public |
Create a new HTTP server on port port.
|
| $setVerbosity(level) @public |
Set the verbosity for the server to level.
|
| $setBase(base) @public |
Setting the base URL allows servlets to use it.
|
| $setFileRoot(root) @public |
Set the directory where files for FileServlet can be found.
|
| $addServlet(servlet) @public |
Add a servlet. The server will ask each servlet if it can handle a
request.
|
| $addPage(page) @public |
Add a ZUT page. This will create the page according to the page
argument and create a servlet for it.
|
| $redirect(from, to) @public |
Generate a "301 moved permanently" response.
|
| $openInBrowser(page) status @public |
Open page in a browser, for localhost and the port number of the
server.
|
| $quit() @public |
Tell the server to quit.
|
| $waitForExit() @public |
Wait until the server exits.
|
| |


--- layout: post title: "Why Domain Knowledge is Crucial for Machine Learning-based Medical Image Analysis" subtitle: "Lena Maier-Hein, DKFZ" date: 2021-04-22 19:00:00 background: '/img/posts/lena_maier_hein.jpg' future_date: False layer_shift: True ---
The breakthrough successes of deep learning-based solutions in various fields of research and practice have attracted a growing number of researchers to work in the field of medical image analysis. However, due to the increasing number of publicly available data sets, domain knowledge and/or close collaboration with domain experts is no longer an essential prerequisite. To demonstrate the potentially severe consequences of this recent development, this talk will highlight the importance of domain knowledge for various steps within the development process: from the selection of training/test data in the presence of possible confounders, to the choice of appropriate validation metrics and the interpretation of algorithm results.
Lena Maier-Hein received a Diploma (2005) and PhD degree (2009) with distinction from Karlsruhe Institute of Technology and conducted her postdoctoral at the German Cancer Research Center (DKFZ) and at the Hamlyn Centre for Robotic Surgery at Imperial College London. During her time as junior group leader at the DKFZ (2011-2016), she finished her Habilitation (2013) at the University of Heidelberg. As DKFZ division head she is now working in the field of biomedical image analysis with a specific focus on surgical data science, computational biophotonics and validation of machine learning algorithms. Lena Maier-Hein is fellow of the Medical Image Computing and Computer Assisted Intervention (MICCAI) society and of the European Laboratory for Learning and Intelligent Systems (ELLIS) and has been distinguished with several science awards including the 2013 Heinz Maier Leibnitz Award of the German Research Foundation (DFG) and the 2017/18 Berlin-Brandenburg Academy Prize. She has received a European Research Council (ERC) starting grant (2015-2020) and consolidator grant (2021-2026).
The event will take place on Thursday, April 22, 2021 at 7:00pm . It will be a joint event with Freiburg AI and will take place online. You can join the live stream at this URL! Kindly help us plan ahead by registering for the event on our meetup page.


This is some other "Master" view.
This is some other "Detail" view.
This is some popover view.
This is some OTHER popover view!!.
This is some popover view with a black color style.


Trainer
Hotensia is a NASM certified trainer with a passion for fitness and a heart for helping others.
About
Fit4Life provides you with organized workouts to achieve your fitness goal.
Motivation
The GREATNESS of a man is determined by the CAUSE he lives for and his WILLINGNESS to pay the PRICE to achieve It.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
A light chocolate pudding served with saffron spiced pears, pear syrup and crème fraîche.
Preheat the oven to 180C/350F/Gas 4 and lightly grease four ramekins.
For the chocolate pudding, melt the butter and chocolate in a large heatproof bowl sat above a pan of simmering water (do not allow the bowl to touch the water). Set aside to cool slightly.
In a large bowl, whisk the caster sugar, egg yolks, honey and cornflour until pale, fluffy and thickened. Add the melted chocolate to the egg mixture and stir to combine.
In a separate bowl, whisk the egg whites until soft peaks form when you remove the whisk. Gradually add the caster sugar and continue to whisk until stiff peaks form. Fold the eggs whites into the chocolate mixture to combine. Spoon the mixture into the ramekins and bake in the oven for 8-10 minutes.
For the poached pears, heat the sugar and 300g/10½oz water in a saucepan, until the sugar has dissolved and a syrup forms. Add the star anise, saffron, lemon juice and cinnamon stick and infuse by placing over a gentle heat for 10 minutes. Add the pear wedges to the syrup and poach gently for 10-15 minutes, or until softened.
To serve, place a quenelle of crème fraîche on top of the warm chocolate puddings in their ramekins. Arrange a couple of pear wedges on top, drizzle with a spoon of the poaching liquor and dust with icing sugar.


Dashboard
customer name:
Customer Usage on Last few months
customer usage mins on last few months
Customer count less than 70 and greater than 70


Indicates if the application is in dev mode.
Calls all listeners registered in the event.
Name of the event.
Calls all listeners registered in the event.
Name of the event.
Data to send in the event.
Checks if the emitter has registerd event.
Name of the event.
Registers the listener of the event.
Name of the event.
Listener to execute when the event is called.
Registers the listener of the event.
Name of the event.
Listener to execute when the event is called.
Clears all listeners on the event.
Name of the event.
Gets the cookie by its name.
Gets the code of the default locale.
Gets the initial data registered to the app.
Definition of the returned data.
Gets the initial data value by its key.
Definition of the returned data.
Key in the initial data.
Gets the current set locale.
Gets the list of all accepted locales.
Gets the component registered in the application context.
Key of the reference.
Gets the content of title
tag.
Logs the message to the console using console.error
if the app is in DEV mode.
Logs the message to the console using console.log
if the app is in DEV mode.
Logs the message to the console using console.warn
if the app is in DEV mode.
Pushes the state to the history and renders the route if it's not the current route and refresh is false.
URL path.
Pushes the state to the history and renders the route if it's not the current route and refresh is false.
URL path.
Query string data.
Pushes the state to the history and renders the route if it's not the current route and refresh is false.
URL path.
Query string data.
Indicates if the route should be refreshed if the route is currently rendered.
Pushes the state to the history.
URL path.
Query string data.
Alias for the navigate
method with the refreshing the content.
URL path.
Alias for the navigate
method with the refreshing the content.
URL path.
Query string data.
Forces content and components to refresh.
Forces all registered component to refresh.
Forces the content refresh.
Registers custom components.
This method is called automatically in after the bundle load.
List of components.
Registers error page for rendering errors.
This method is called automatically in the bundle load.
ErrorPage component to register.
Registers the configuration of locale.
The code of the default locale.
List of all accepted locale codes.
Registers the routing map.
This method is called automatically in after the bundle load.
Map of routes.
Registers socket events.
This method is called automatically in after the bundle load.
List of socket events.
Removes the listener of the event.
Name of the event.
Removes the listener of the event.
Name of the event.
Renders the component to the target.
The component.
The target DOM element
Renders the component to the target.
The component.
The target DOM element
Function called after the render.
Renders the page component.
Page component.
Sets the cookie.
Name of the cookie.
Value of the cookie.
Sets the cookie.
Name of the cookie.
Value of the cookie.
Additional options of the cookie.
Sets the locale as a dictionary.
Locale dictionary to set.
Registers the component as the context reference.
Type of the component.
Component's reference.
Key of the reference.
Sets the page title.
Title of the page.
Starts the application.
This method is called automatically in after the bundle load.
Generated using TypeDoc
Base client application.


| Astronauts and their instructor take notes on their field observations during a geology training trip into the Grand Canyon, in Arizona. Although the rocks that are exposed at the Grand Canyon do not resemble lunar rocks in any way, the trip here was an important step in familiarizing the astronauts with the basics of geology, so that they could function well as observers and collectors. |
| Apollo 13 Astronauts Fred Haise and Jim Lovell observe features of a lava flow near Hilo, Hawaii, during a geology field training trip. They used such items of lunar equipment as the handtool carrier behind them and the Hasselblad cameras mounted on their chest packs. As fate would have it, this pair did not have the chance to use their training. |
| Although it was past 2 a.m., a crowd of more than 2000 people was on hand at Ellington Air Force Base to welcome the members of the Apollo 8 crew back home. Astronauts Frank Borman, James Lovell, and William Anders had just flown to Houston from the Pacific recovery area by way of Hawaii. The three crewmen of the first manned lunar-orbit mission are standing at the microphones in the center of the picture. |
| Apollo 8 crewman Frank Borman gets a warm greeting from Robert Gilruth, the Manned Spacecraft Center Director, upon his arrival at Ellington Air Force Base, just outside Houston. Looking on is Edwin Borman, the astronaut's 15-year-old son. William Anders and his family are in the background. |


| How would you like to join the call? | ||||
|
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|
Don't have the plugin?
|
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|
Don't have the app?
|
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|
Don't have the app?
|
||||
|
By clicking "Join" or "Download", you agree to our End-User License Agreement & Privacy Policy.
|
| Error |


-----Original Message-----
From: Walker, Blake
Sent: Tuesday, October 23, 2001 4:22 PM
To: Marlow, Keith; Petry, Norma; Alencastro, David; Brannon, Biff; Camacho, Amanda; Chavez, Edward Jr.; Gehle Jr., William; Grajewski, Joseph T.; Kadakia, Tushar; Martinez, Rocio; Menefee, Bob; Pomrenke, Pat
Subject: Baby Copeland
Erin had her baby boy!!!
Chase Allen Copeland
7.46 lbs
19.5 inches long
born at 2:30 p.m. today
***********
EDRM Enron Email Data Set has been produced in EML, PST and NSF format by ZL Technologies, Inc. This Data Set is licensed under a Creative Commons Attribution 3.0 United States License <http://creativecommons.org/licenses/by/3.0/us/> . To provide attribution, please cite to "ZL Technologies, Inc. (http://www.zlti.com)."
***********
California


This is a project based on the idea of being able to collaborate with my professors on logical arguments. Very often I find myself constructing huge lines of reasonings in my head. I try to be a logical guy. Unfortunately, it is very hard to validate ambitious arguments with grand conclusions when they are crafted in an essay format. Any logical flaw caught in any part of a logical chain is basis for not appreciating the end conclusion.
Just because an argument is false, doesn't mean the conclusion is false. Dismissing the conclusion is not necessarily correct. But at the very least, the rigorous analysis of a logical chain guarantees, that any proposition made within the chain is not incorrect (with regard to a formal system).
Is it possible to make an internet hub with which the entire world can use to contribute to a single coherent logical chain?
If this is possible, then perhaps direct democracy can exist: a democracy (not a republic) where every person can have a voice in political argument. Historically, this has been logistically impossible because it is hard to have a coherent, rigorously analyzed discussion among several millions of people at once. This allows politicians to exploit rhetoric and utilize logical fallacies such as ad hominem and converse logic against the public. I think direct democracy may have its roots in the internet.
A single coherent logical graph can be used to explore all political ideas. People can analyze individual propositions in the logical graph and comment about its "truthiness".
Is it possible for the entire universe of human knowledge to be parsed into a gigantic graph of propositions and entailments?
I have recently found out that software for analyzing arguments already existed: Interactive Theorem Proving. However, current implementations are not currently designed for such large scale intents.
Further motivation for this project is the question:
Is it possible for a machine learning algorithm to use this "graph of truth" to
guess logical connections between premises and conclusions? People might be able to use machines to
do their thinking for them...
In a formal argument, there are premises and conclusions.
If the premises are true, then the argument may entail a true conclusion depending on whether
it uses a proper rule of inference.
Thus, an argument can be thought of as a directed acyclic graph where the nodes are propositions
that are true, and the edges are entailments.
A user should be able to comment on the truth of any proposition or inspect entailments and the derived conclusions. A voting system may be used to keep the logical graph in a state of integrity.
- Each proposition is either derived a priori or a posteriori.
- Statistical evidence can be used to measure the chances of "truthiness" of each proposition.
- All logical entailments derive from propositions with varying levels of "truthiness" and the conclusions themselves will have their "truthiness" calculated from the network.
In short: This is an incompleted Django app that I worked for based on some weird idea of having a logical graph.
Building a JSON api
I have found that building a RESTful api is rather hard. Disregarding some RESTful practices, I have opted to make a JSON api instead. Things I learned building this project:
- Separate serializers must exist: one on the server side, and one on the client side.
- Virtual resources is kind of tricky to maintain.


The following message appears:
InvalidParameter
Invalid parameter
. And here is some text added for the
webNote
purposes of testing
.


Developing with JavaScript¶
In order to create interactive plots and applications in the browser, Bokeh has a client-side library, BokehJS, to do all the work of drawing and rendering and event handling in a browser. The Bokeh Python library, and libraries for Other Languages such as R, Scala, and Julia, are primarily a means to interact with BokehJS conveniently at a high level, without needing to explicitly worry about JavaScript or web development. However, BokehJS has its own API, and it is possible to do pure JavaScript development using BokehJS directly. Additionally, Extending Bokeh with custom models typically requires interacting with BokehJS directly as well.
Warning
The BokehJS APIs are new as of version 0.12
and may undergo some
changes before a 1.0
release.
Obtaining BokehJS¶
BokehJS is made available via CDN and npm
. See the BokehJS
section of the Installation page for more details.
Low Level Models¶
The low level models for building up plots and applications (e.g. guides and glyphs and widgets, etc.) generally match the Bokeh Python models exactly. Accordingly, the Reference Guide is a primary resource for answering questions about BokehJS models, even though it is presented from a Python perspective.
Unlike the hierarchical organization of the Python library, all of the
JavaScript models are all in one flat Bokeh
module. Typically any
Python ClassName
is available as Bokeh.ClassName
from JavaScript.
The complete list of models available from JavaScript can be seen at
bokehjs/src/lib/api/models.ts.
When creating models from JavaScript, all of the keyword arguments that would get passed to the Python object initializer are passed as a JavaScript object. Here is a comparison of how to create a Range1d model. First, in python:
xdr = Range1d(start=-0.5, end=20.5)
and the corresponding JavaScript version:
var xdr = new Bokeh.Range1d({ start: -0.5, end: 20.5 });
This pattern holds in general. Once created, Bokeh model properties are
set in exactly the same way in both languages. To set the end
value
to 30 on the Range1d from above, use xdr.end = 30
in either Python
or JavaScript.
As an example, here is an example that creates a plot with axes, grids, and a line glyph from scratch. Comparison with examples in examples/models will show that the translation from Python to JavaScript at this level is nearly one-to-one:
// create some data and a ColumnDataSource
var x = Bokeh.LinAlg.linspace(-0.5, 20.5, 10);
var y = x.map(function (v) { return v * 0.5 + 3.0; });
var source = new Bokeh.ColumnDataSource({ data: { x: x, y: y } });
// create some ranges for the plot
var xdr = new Bokeh.Range1d({ start: -0.5, end: 20.5 });
var ydr = new Bokeh.Range1d({ start: -0.5, end: 20.5 });
// make the plot
var plot = new Bokeh.Plot({
title: "BokehJS Plot",
x_range: xdr,
y_range: ydr,
plot_width: 400,
plot_height: 400,
background_fill_color: "#F2F2F7"
});
// add axes to the plot
var xaxis = new Bokeh.LinearAxis({ axis_line_color: null });
var yaxis = new Bokeh.LinearAxis({ axis_line_color: null });
plot.add_layout(xaxis, "below");
plot.add_layout(yaxis, "left");
// add grids to the plot
var xgrid = new Bokeh.Grid({ ticker: xaxis.ticker, dimension: 0 });
var ygrid = new Bokeh.Grid({ ticker: yaxis.ticker, dimension: 1 });
plot.add_layout(xgrid);
plot.add_layout(ygrid);
// add a Line glyph
var line = new Bokeh.Line({
x: { field: "x" },
y: { field: "y" },
line_color: "#666699",
line_width: 2
});
plot.add_glyph(line, source);
Bokeh.Plotting.show(plot);
The code above generates the following plot:
Interfaces¶
Similar to the Python Bokeh library, BokehJS provides various higher level
interfaces for interacting with and composing the low level model objects.
These higher level interfaces currently comprise Bokeh.Plotting
and
Bokeh.Charts
.
Note
As of 0.12.2
the APIs described below have been split into BokehJS
API, in the bokeh-api.js
file, which must be imported in addition
to bokeh.js
.
Bokeh.Plotting
¶
The JavaScript Bokeh.Plotting
API is a port of the Python
bokeh.plotting
interface. Accordingly, the information in the
Plotting with Basic Glyphs section of the User Guide can be a useful
reference in addition to the material here.
Here is an example that is very similar the Python example examples/plotting/file/color_scatter.py:
var plt = Bokeh.Plotting;
// set up some data
var M = 100;
var xx = [];
var yy = [];
var colors = [];
var radii = [];
for (var y = 0; y <= M; y += 4) {
for (var x = 0; x <= M; x += 4) {
xx.push(x);
yy.push(y);
colors.push(plt.color(50+2*x, 30+2*y, 150));
radii.push(Math.random() * 0.4 + 1.7)
}
}
// create a data source
var source = new Bokeh.ColumnDataSource({
data: { x: xx, y: yy, radius: radii, colors: colors }
});
// make the plot and add some tools
var tools = "pan,crosshair,wheel_zoom,box_zoom,reset,save";
var p = plt.figure({ title: "Colorful Scatter", tools: tools });
// call the circle glyph method to add some circle glyphs
var circles = p.circle({ field: "x" }, { field: "y" }, {
source: source,
radius: radii,
fill_color: colors,
fill_alpha: 0.6,
line_color: null
});
// show the plot
plt.show(p);
The code above generates the following plot:
Bokeh.Charts
¶
The JavaScript Bokeh.Charts
API is a high-level interface for charting
that is unique to BokehJS. Currently , there are two high level charts
supported: pie
and bar
.
Bokeh.Charts.pie
¶
To create pie charts using Bokeh.Charts.pie
, the basic usage is:
Bokeh.Charts.pie(data, { options })
Where data
is a JavaScript object that has labels
and
values
keys, and options
is an object that has any of
the following optional keys:
width : | number — chart width in pixels |
|---|---|
height : | number — chart height in pixels |
inner_radius : | number — inner radius for wedges in pixels |
outer_radius : | number — outer radius for wedges in pixels |
start_angle : | number — start angle for wedges in radians |
end_angle : | number — end angle for wedges in radians |
center : | [number, number] — (x, y) location of the pie center in pixels |
palette : | Palette | Array<Color> — a named palette, or list of colors to colormap the values |
slice_labels : | “labels” | “values” | “percentages” — what the tooltip should show |
By default, plots created Bokeh.Charts.pie
automatically add a tooltip
and hover policy. Here is some example code that demonstrates the pie
function, with the plot it generates shown below:
var plt = Bokeh.Plotting;
var pie_data = {
labels: ['Work', 'Eat', 'Commute', 'Sport', 'Watch TV', 'Sleep'],
values: [8, 2, 2, 4, 0, 8],
};
var p1 = Bokeh.Charts.pie(pie_data);
var p2 = Bokeh.Charts.pie(pie_data, {
inner_radius: 0.2,
start_angle: Math.PI / 2
});
var p3 = Bokeh.Charts.pie(pie_data, {
inner_radius: 0.2,
start_angle: Math.PI / 6,
end_angle: 5 * Math.PI / 6
});
var p4 = Bokeh.Charts.pie(pie_data, {
inner_radius: 0.2,
palette: "Oranges9",
slice_labels: "percentages"
});
// add the plot to a document and display it
var doc = new Bokeh.Document();
doc.add_root(plt.gridplot(
[[p1, p2, p3, p4]],
{plot_width:250, plot_height:250}));
Bokeh.embed.add_document_standalone(doc, document.currentScript.parentElement);
The code above generates the following plot:
Bokeh.Charts.bar
¶
To create bar charts using Bokeh.Charts.bar
, the basic usage is:
Bokeh.Charts.bar(data, { options })
Where data
is a JavaScript array that has as elements lists that are
“rows” from a data table. The first “row” should contain the column headers. H
Here is an example that might represent sales data from different regions for
different years:
var data = [
['Region', 'Year', 'Sales'],
['East', 2015, 23000 ],
['East', 2016, 35000 ],
['West', 2015, 16000 ],
['West', 2016, 34000 ],
['North', 2016, 12000 ],
];
Similar to pie
, the options
parameter is an object that has any of
the following optional keys:
width : | number — chart width in pixels |
|---|---|
height : | number — chart height in pixels |
stacked : | boolean — whether the bars should be stacked or not |
orientation : | “horizontal” | “vertical” — how the bars should be oriented |
bar_width : | number — width of each bar in pixels |
palette : | Palette | Array<Color> — a named palette, or list of colors to colormap the values |
axis_number_format : | |
| string — a format string to use for axis ticks |
By default, plots created Bokeh.Charts.bar
automatically add a tooltip
and hover policy. Here is some example code that demonstrates the bar
function, with the plot it generates shown below:
var plt = Bokeh.Plotting;
var bar_data = [
['City', '2010 Population', '2000 Population'],
['NYC', 8175000, 8008000],
['LA', 3792000, 3694000],
['Chicago', 2695000, 2896000],
['Houston', 2099000, 1953000],
['Philadelphia', 1526000, 1517000],
];
var p1 = Bokeh.Charts.bar(bar_data, {
axis_number_format: "0.[00]a"
});
var p2 = Bokeh.Charts.bar(bar_data, {
axis_number_format: "0.[00]a",
stacked: true
});
var p3 = Bokeh.Charts.bar(bar_data, {
axis_number_format: "0.[00]a",
orientation: "vertical"
});
var p4 = Bokeh.Charts.bar(bar_data, {
axis_number_format: "0.[00]a",
orientation: "vertical",
stacked: true
});
plt.show(plt.gridplot([[p1, p2, p3, p4]], {plot_width:350, plot_height:350}));
The code above generates the following plot:
Minimal Complete Example
¶
A minimal example follows, demonstrating a proper import of the libraries, and dynamic creation and modification of plots.
<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Complete Example</title>
<link rel="stylesheet" href="https://cdn.bokeh.org/bokeh/release/bokeh-1.1.0.min.css" type="text/css" />
<link rel="stylesheet" href="https://cdn.bokeh.org/bokeh/release/bokeh-widgets-1.1.0.min.css" type="text/css" />
<link rel="stylesheet" href="https://cdn.bokeh.org/bokeh/release/bokeh-tables-1.1.0.min.css" type="text/css" />
<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-1.1.0.min.js"></script>
<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-widgets-1.1.0.min.js"></script>
<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-tables-1.1.0.min.js"></script>
<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-gl-1.1.0.min.js"></script>
<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-api-1.1.0.min.js"></script>
<script>
//The order of CSS and JS imports above is important.
</script>
<script>
// arrays to hold data
var source = new Bokeh.ColumnDataSource({
data: { x: [], y: [] }
});
// make the plot and add some tools
var tools = "pan,crosshair,wheel_zoom,box_zoom,reset,save";
var plot = Bokeh.Plotting.figure({title:'Example of Random data', tools: tools, height: 300, width: 300});
var scatterData = plot.line({ field: "x" }, { field: "y" }, {
source: source,
line_width: 2
});
// Show the plot, appending it to the end of the current
// section of the document we are in.
Bokeh.Plotting.show(plot);
function addPoint() {
// The data can be added, but generally all fields must be the
// same length.
source.data.x.push(Math.random());
source.data.y.push(Math.random());
// Also, the DataSource object must be notified when it has changed.
source.change.emit();
}
var addDataButton = document.createElement("Button");
addDataButton.appendChild(document.createTextNode("Add Some Data!!!"));
document.currentScript.parentElement.appendChild(addDataButton);
addDataButton.addEventListener("click", addPoint);
</script>
</head>
<body>
</body>
</html>
The code above generates the following plot:


CS408 - Individual Assignment ADVE:RTISE
Attention Deficit Virtually Eliminated: the Reintroduction of Teaching Innovation in a Social-networking Environment
There is little doubt that the Internet underpins many innovations in teaching and learning. There is also little doubt that the Internet is also used to deliver entertainment and other forms of social interaction/distraction. The purpose of this project is to explore the potential of services like YouTube and Facebook to support teaching and learning.
It is envisaged that the system would be developed in a way that enables staff and students to augment normal academic content delivery and feedback systems with these types of social-networking systems. However, it is not proposed that the the likes of YouTube and Facebook would be used to replace the current systems but, rather, provide an additional avenue for the content to be 'advertised'.
Since the above specification is very open-ended some of the following project titles may be better suited to the eventual focus and outcome of the final project!:


Dashboard application
You can build a full application with Waziup, without programming! In this tutorial, we’ll learn how to build a soil monitoring application able to display the soil moisture and to send notifications on SMS, twitter and voice messages.
Prerequisistes
You should already have a gateway and a sensor node ready and configured. If not, please check this section. Your gateway should be configured with your name for the organisation:
Switch on your gateway and sensor, and let’s exploit your data in the Waziup dashboard!
Create a user
The first thing you need to do is to create a login and a password. Click on the “Go to dashboard” button on top of this page. This will lead you to a page as shown below.
You can create a new account by clicking on “Register” of by using a social network OpenId procedure. All communications will be secured by SSL.
Your sensor
Clicking on the “Sensors” menu entry will lead you to the sensors page.
In this list, active sensors are displayed in green, and unactive sensors are in red. A sensor is deemed unactive if it doesn’t send data after 12 hours. The sensors are sorted by domains, which regroup sensors from the same application domain: for example sensors from a specific farm.
If you configured your gateway correctly, you should be able to find your sensor in this page! Press CTRL-F and enter part of your name, in order to find your sensor in the page. Your data is already here! Click on the sensor icon to access to the details.
 Click on the graph icon to consult the graphics.
However, we need to “enrich” our sensor by providing some metadata. Click on the “Change” button on the map in order to set up the sensor location. Click on the little pen icon to input the sensor name. This operation will allow you to recognize your sensor more easily.
Click on the pen icon in the measurement box. This will allow to set up:
- a measurement name
- a sensing device. This is the kind of physical sensor used: a temperature sensor, a soil moisture sensor…
- a quantity kind. This is what you are really measuring with the sensor. For example, air temperature or water temperature?
- a unit of measurement.
Setting up this metadata is not mandatory, however is it much better to get if you want to exploit yuor data on the long term. It will also allow you to create nicer graphics.
Notifications
The notifications allow you to program SMS messages triggered by events on the sensors. For instance, if a sensor value becomes too high, an SMS will be sent to the user. The notification view is shown below.
Let’s create a notification for your new sensor. Click on the “Add notification” button, as shown in the figure.
You need to select your sensor id in the list, and then the measurement id. For instance, select MySensor and TC, to make a notification on the temperature measured by MySensor.
The next field contains the condition for sending the message. Examples of expressions include “TC==10”, “TC==10..30”, “TC>30”, “Color==orange,red”. The list of operators is: “==”, “!=”, “>”, “<”, “>=”, “<=”. Several conditions can be concatenated with “;”, for example: “TC>30; HUM<20”. The Message field contains the message to be sent to the user. It can contain variables, which will be replaced by their values when the message is sent. For example, you can include the current value of a sensor in the message with “Field sensor value is ${TC}”.
The next step is to select the users you want to send it to. Select your own username here. Finaly, select the social media to send one. Remember, your account need to be configured with your phone number and Twitter account to receive messages.
Once this is done, you can validate. You should be able to see your notification in the list.
Did you receive anything? To check if any message was sent to you, hoover with your mouse over the notification. You should see the number of times this notification was sent, and the time for the last sending.
Your simple application is ready! To make more complex dashboards, head to the Kibana tutorial.


Rosie Archer was born in Gosport, Hampshire, where she still lives. She has had a variety of jobs including waitress, fruit picker, barmaid, shop assistant and market trader selling second-hand books.
Rosie is the author of The Munitions Girls, The Canary Girls, The Factory Girls and The Gunpowder and Glory Girls as well as a series of gangster sagas under the name June Hampson.
1. Who were your literary influences as you were growing up?
 Poor Cow is my very favourite. Ernest Hemingway for his superb dialogue. Catherine Cookson for her storytelling abilities.
2. Suffolk readers will know you as June Hampson, who writes about gangsters, but you have also carved out a successful niche as Rosie Archer.
I was given my first contract by Orion and under my own name wrote about gangsters. Writing sagas for Quercus required a more gentle approach. I didn’t want my readers to feel cheated about the storylines and levels of violence so Rosie Archer came into being. Happily, readers seem to love both June Hampson and Rosie Archer.
3. What is your writing routine? Do you have to do a lot of research?
My writing routine is telling myself, ‘it won’t write itself.’ Writing two books a year for Quercus is a great pleasure but I also love to live life. Otherwise there wouldn’t be anything to write about! I do a great deal of research and I always re-check. Research often brings up fresh storylines.
4. What is your advice to aspiring writers?
My advice to aspiring writers is to write!
5. Can you share anything with us about your latest project?
The POW’s Girl is my next novel. Set in Gosport, of course. I discovered German prisoners helped build a local estate while our men were overseas fighting and wondered what would happen if a girl fell in love…
6. Do you have a message for your many readers in Suffolk Libraries?
If I have a message for readers in Suffolk Libraries, it is that I would like to thank you for reading my books, I couldn’t do it without you, you are all brilliant.
7. Can you tell us one thing that your readers might not know about you?
One thing readers might not know about me? That’s a hard one. I’m very ordinary, whatever that means. A mother, grandmother, I love cats, I read a lot. I think reading a book is like having a film playing in my head.
I also belong, and have done for over thirty years, to a Gosport singing charity group. We entertain in homes for the elderly, hospitals etc. and we’re like a big family really.


--- layout: post status: publish published: true title: Android > How can i keep web view session on android author: display_name: hojunbaek login: hojunbaek email<EMAIL_ADDRESS>url: '' author_login: hojunbaek author_email<EMAIL_ADDRESS>wordpress_id: 1811 wordpress_url: http://ezcocoa.com/?p=1811 date: '2013-07-02 17:38:30 +0900' date_gmt: '2013-07-02 17:38:30 +0900' categories: - Android tags: - android - keep - session - soultion comments: [] ---
**July 2 2013 11:37**
I'm trying to get the solution now.
But I can't find that :(
**July 2 2013 01:12**
It make me crazy which part is different between Desktop and Mobile!!!
I don't know WHY!!!!! :/ huh?
ok keep going.
**July 2 2013 01:24**
I need to go gym and I could get stress out. Holo~~
** July 2 2013 04:40**
I came home back. So tried to work out.
** July 2 2013 11:23**
I had a lot of food. I'm full.
I couldn't eat anymore.. and I need to go to bed.
:) anyway today? was not too bad.
It solved. the problem is that server has something wrong.
Thanks.


Blog Archive 2014 Feb 12 New trends in phishing pages? 2013 Aug 29 Kippo statistics Jun 30 Install OpenVAS 6 on Ubuntu Jan 07 yubico-pam with LDAP binddn and bindpw support 2012 Nov 05 Best practices for setting up a new server Oct 20 Sending OSSEC alerts over Jabber (XMPP) Oct 06 ufw – a simple command line firewall Sep 07 Found a suspicious file? Lets put it to the test. Jun 01 How to encrypt OSSEC email alerts May 23 Step 7 Varia May 23 Step 6 Configure your clients May 23 Step 5 Hardening your setup May 23 Step 4 Replication May 23 Step 3 Linking FreeRADIUS May 23 Step 2 Linking OpenLDAP with MITv5 Kerberos May 09 Step 1 Installation and basic configuration of OpenLDAP and MITv5 Kerberos May 09 Full-blown authentication system May 03 Cannot setuid after Ubuntu 12.04LTS upgrade when using LDAP accounts Apr 04 Configure a cisco switch via Linux with screen Feb 23 Getting a (more) secure SSH configuration Feb 22 Why criminals want access to your machine


Selected American and British Poems
by FCIT
My Butterfly
by Robert Frost
Additional Information
- Year Published: 1915
- Language: English
- Country of Origin: United States of America
- Source: Frost, R. (1915). A Boy's Will New York: Henry Holt
-
Readability:
- Flesch–Kincaid Level: 9.0
- Word Count: 661
- Genre: Poetry
- ✎ Cite This
Downloads
Thine emulous fond flowers are dead, too,
And the daft sun-assaulter, he
That frighted thee so oft, is fled or dead:
Save only me
(Nor is it sad to thee!)
Save only me
There is none left to mourn thee in the fields.
The gray grass is not dappled with the snow;
Its two banks have not shut upon the river;
But it is long ago—
It seems forever—
Since first I saw thee glance,
With all the dazzling other ones,
In airy dalliance,
Precipitate in love,
Tossed, tangled, whirled and whirled above,
Like a limp rose-wreath in a fairy dance.
When that was, the soft mist
Of my regret hung not on all the land,
And I was glad for thee,
And glad for me, I wist.
Thou didst not know, who tottered, wandering on high,
That fate had made thee for the pleasure of the wind,
With those great careless wings,
Nor yet did I.
And there were other things:
It seemed God let thee flutter from his gentle clasp:
Then fearful he had let thee win
Too far beyond him to be gathered in,
Snatched thee, o'er eager, with ungentle grasp.
Ah! I remember me
How once conspiracy was rife
Against my life—
The languor of it and the dreaming fond;
Surging, the grasses dizzied me of thought,
The breeze three odors brought,
And a gem-flower waved in a wand!
Then when I was distraught
And could not speak,
Sidelong, full on my cheek,
What should that reckless zephyr fling
But the wild touch of thy dye-dusty wing!
I found that wing broken to-day!
For thou are dead, I said,
And the strange birds say.
I found it with the withered leaves
Under the eaves.
Reluctance
OUT through the fields and the woods
And over the walls I have wended;
I have climbed the hills of view
And looked at the world, and descended;
I have come by the highway home,
And lo, it is ended.
The leaves are all dead on the ground,
Save those that the oak is keeping
To ravel them one by one
And let them go scraping and creeping
Out over the crusted snow,
When others are sleeping.
And the dead leaves lie huddled and still,
No longer blown hither and thither;
The last lone aster is gone;
The flowers of the witch-hazel wither;
The heart is still aching to seek,
But the feet question 'Whither?'
Ah, when to the heart of man
Was it ever less than a treason
To go with the drift of things,
To yield with a grace to reason,
And bow and accept and accept the end
Of a love or a season?


Giants WR Shepard to return, TE Engram out
New York Giants receiver Sterling Shepard cleared concussion protocol and is available to play Sunday against the Chicago Bears, the team said Friday.
Shepard has missed the past five games due to his second concussion of the season. Giants coach Pat Shurmur said the 26-year-old likely will play.
“Listen, when you’re on the field playing, all the players are at risk for injury,” Shurmur told reporters. “That is just the reality of the sport. It’s a physical sport. The reason we all played it and do play it and coach it is because we like the physical nature of it. Unfortunately, sometimes injuries are part of it.
“If he’s up and going, he’s going to go.”
Shepard has caught 25 passes for 267 yards and one touchdown in four games this season. He caught at least 59 passes in each of his first three NFL seasons.
While Shepard is back, tight ends Evan Engram (foot) and Rhett Ellison (concussion) will miss the game.
Engram leads New York with 44 receptions for 467 yards. This will be the third game he missed this season due to knee or foot injuries.
“He did everything we asked,” Shurmur said of Engram. “Hopefully he’s on track to be back soon. He just wasn’t quite ready this week.”
Ellison has 18 catches for 167 yards.
Offensive tackle Nate Solder and cornerback Janoris Jenkins also cleared concussion protocol and will play. They suffered their injuries against the New York Jets on Nov. 10 and had the team’s bye to help them recuperate.
The Giants (2-8) have lost six straight games.
—Field Level Media


Introduction
The Robotics and Artificial Intelligence Lab (RAIL) of tongji university was founded in 1992, Team TJArk of RAIL was founded in 2004 and participated in RoboCup World Cup from 2006 to 2018. We have got seven winning streak in China RoboCup SPL and once won the third place in RoboCup2018 SPL. In December 2018, we founded an energetic new team to participate in RoboCup @Home League, called TJArk@Home. Main goal of TJArk@Home is to explore the limit of how well can robots serve people during common life with acceptable cost. Under the guidance of such wish, we are doing many research on the Pepper platform, such as
- SLAM(Simultaneous Localizaiton and Mapping)
- Auto navigation of robot
- Object Detection and Recognition
- Human-face detection and analysis
- Human-Robot interaction
- Motion control
- Trajectory teaching
- Design of laptop GUI
- …
Pepper needs a model (a map) of the environment to support other tasks, but a prior map is often not available in various home scenarios, so SLAM find its application. We mainly use the stereo camera to develop a visual SLAM module. Our algorithm is based on RTAB-Map and have been modified for Pepper’s sensors. Then, we use DWA to plan the path and fuse vision, laser and sonar data to make real-time obstacle avoidance, so Pepper can navigate to its goal points itself. The SLAM and navigation framework is running on ROS.
Various vision algorithms are needed for more careful perception and analysis of Pepper’s environment pn object and huamn level. To start interaction, our Pepper can detect and recognize different people, remember their names and some other features, and track them using its camera data. Then, more interested skills will be shown to carry more complex tasks. For example, some tasks require human posture recognition so an alogorithm based on ?? is developed. It can recognize human skeleton so that we can judge whether a person is standing, sitting or pointing somewhere. For object-level environment reasoning, a detection and recognition framework based on YOLO can quickly detect a predefined object and print its predefined name in the figure. (插一两张图？？) We designed a user-friendly interface so even people unfamiliar to robotics can quickly operate on Pepper. Just by a browser, different devices are able to access to the GUI and control Pepper’s behaviors.
We have developed a Python framework, which is a high-level package of NAOqi APIs and ROS-based components. Every team member can write his/her own lib files, such as “LibMoiton”, “LibDetection”, and add it to the framework easily. At the game site, Pepper can use these lib files to perform various, more complex tasks. The framework is still in developing, so we don’t open its source yet. In 2019, the first year for our team to participate in Pepper games, we won the champion of China RoboCup@Home SSPL. We are eager to show our work on a broader stage!
Team members
| Name | Introduction |
|---|---|
| Deng Xiuqi | Graduate student, Department of Control Science and Engineering |
| He Zongtao | Leader, Graduate student, Department of Control Science and Engineering |
| Xu Weihan | Graduate student, Department of Control Science and Engineering |
| Zhou Xun | Graduate student, Department of Control Science and Engineering |
| Liu Zhihao | Graduate student, Department of Control Science and Engineering |
| Wang Liuyi | Senior student, Automation |
| Wang Naijia | Senior student, Automation |
| Du Jiayuan | Senior student, Automation |
| Lu Liwen | Senior student, Automation |
Publications
Contact us
Email<EMAIL_ADDRESS>Link
RoboCup@Home: https://athome.robocup.org/
Media
三张照片（合照，获奖证书，Pepper）
对话
比赛任务
界面展示


1: // Copyright lowRISC contributors.
2: // Licensed under the Apache License, Version 2.0, see LICENSE for details.
3: // SPDX-License-Identifier: Apache-2.0
4:
5: package prim_alert_pkg;
6: typedef struct packed {
7: logic alert_p;
8: logic alert_n;
9: } alert_tx_t;
10:
11: typedef struct packed {
12: logic ping_p;
13: logic ping_n;
14: logic ack_p;
15: logic ack_n;
16: } alert_rx_t;
17: endpackage
18:


Bitrise has an integrated App Deployment system you can use for App and other build artifact file distribution.
With this you can distribute your iOS and Android app, over the air, for your testers (even for those who don’t have a Bitrise account) or you can just use it for archiving your App and other build artifact files (these files will be available on the related Build’s details page).
How does it work?
If you want to distribute your iOS App through Bitrise all you need in your App’s Workflow,
is an Xcode Archive
step to generate the iOS app IPA,
and a Deploy to Bitrise.io
step to distribute it.
For Android apps, use the Gradle Runner
step to generate the APK, and use the
Deploy to Bitrise.io
step to deploy it.
For Xamarin apps use the Xamarin Archive step
to create the iOS/Android app,
and use the Deploy to Bitrise.io
step to deploy it.
For any other project type, just use the step(s) or script(s) which
can generate the app, and use the Deploy to Bitrise.io
step to deploy it.
_One important thing if you use custom steps/scripts: the Deploy to Bitrise.io
step by default deploys apps from the $BITRISE_DEPLOY_DIR
directory, so make sure that you
move the generated app there, or set the Deploy directory or file path
input
of the Deploy to Bitrise.io step
to point to the location of the app file._
If the app file (.ipa
/ .apk
) is available, the Deploy to Bitrise.io
step will
upload it for the Build and it will be listed on the Build’s details page.
Depending on the notification settings you set for the Deploy to Bitrise.io
step,
Bitrise.io will also send emails for the Team of the app.
For each deployed app you’ll see an information and notifications card on the Build’s page, where you can check the details of the App (title, bundle id, version number, size, etc.) and you can download or install the App right from the Build’s page.
If you built your iOS App with a Development or Ad-Hock Provisioning Profile, an additional section will be presented with a list of allowed device identifiers (UDID).
If you or a team member of your App’s team register a device for his/her Bitrise account (you can do this on your Account Settings page in the Test Devices section) and the device’s identifier can be found in the Provisioning Profile, then instead of just presenting the identifier in the list you’ll see the user who registered the device and the device’s name.
Visiting the Build page from an iOS device (which you registered for your account)
and you’ll see an Install
button instead of the Download
button.
With this you can install the App on your device directly from Bitrise.
For Android apps you don’t have to register your test devices, as Android apps don’t have per-device install restrictions. You’ll, however, have to enable the “Unknown Sources” option in Android to be able to install the app/apk from outside of the Google Play Store.
Public App install page
If you enable the Public install page option (of the Deploy to Bitrise.io
step)
for the App, then a long, random URL will be available for you,
which you can be sent even to people who are not registered on Bitrise.io.
Opening this link you’ll see a base description of the
App (title, version, size, supported devices) and an Install
button if you visit the page from an iOS or Android device (depending on the app’s
platform of course).
You can share this page with anyone, even if they don’t have a Bitrise account, but you have to make it sure that they’ll actually be able to install it - if you don’t use an Enterprise Provisioning Profile to build your App, you have to add every device identifier (UDID) to the Provisioning Profile (just like you do on your Mac), the iOS App can’t be installed on any other device, only on the ones which were included in the Provisioning Profile the build was signed with.
You can enable or disable the App’s public install page any time from the related Build page
and you can also set the default state (enabled or disabled) in your App’s Workflow
(select the Deploy to Bitrise.io
step and set the Enable public page for the App?
to false
if you don’t want to automatically enable this feature).
If you disable the Public install page for the App, then only your App’s team members will be able to install the App from Bitrise, from the Build’s detail page!
Notifications and install invites
On the Build’s page you can send install invites for your testers.
You can either send invites for a group of your team (testers, developers, admins or owner) or
(if the Public install page
option is enabled) you can send install invites to any email address.
Keep in mind that the install invite email contains the URL of the Public install page. If you invite someone who’s not in your App’s team and then disable the Public install page, they won’t be able to access the install page! Those who are in your App’s team will be redirected to the Build’s page if the Public install page is disabled.
You can specify the list of groups and emails for automatic install invite notification in the App’s Workflow.
Similarly to the Public page option just select the Deploy to Bitrise.io
step in your Workflow
and specify the list of groups and emails to automatically notify in the Notify: User Groups
and Notify: Emails
options.
Keep in mind that if you disable the Public install page option, Bitrise won’t send install invite emails for the emails you specify, only to those who are in the App’s Team, because in this case only your team members can access the App (on the Build’s page).


No Description
FinebuchholzRanking: A ranking variant which sorts players by wins, buchholz points, finebuchholz points and netto points, in this order.
simply return the stored size
Returns: the size
resize the internal structures
Argument: size
new size
Returns: {Finebuchholz} this
return an object containing all points data and a sorted array of pids representing the ranking
Returns: data object
Add the result of a game to the ranking table.
Argument: result
the result
Returns: {Finebuchholz} this
remove the result of a game from the ranking table
Argument: result
the result
Returns: {Finebuchholz} this
Correct the result of a game.
Argument: oldres
the correction
Returns: {Finebuchholz} undefined on failure, this otherwise
whether a game was played
Argument: game
an instance of the game that could have taken place
Returns: true if all data indicates that this game took place, false otherwise.
get a copy of the applied corrections
Returns: copy of the array of corrections
stores the current state in a blob
Returns: the blob


User Name
Role
Class 1
Assignments
Quizzes
Grades
Forums
What is a solution to
(18x
5
+ 7x
3
)
9
x=1
x=0
Who cares?
All of the above.
None of the above.
Submit


The application is not yet completely accessible since an invitation for registering is required (it will be opened early next year).
Description from the docs: The aim of o2S2PARC is to establish a comprehensive, freely accessible, intuitive, and interactive online platform for simulating peripheral nerve system neuromodulation/stimulation and its impact on organ physiology in a precise and predictive manner. To achieve this, the platform will comprise both state-of-the art and highly detailed animal and human anatomical models with realistic tissue property distributions that make it possible to perform simulations ranging from the molecular scale up to the complexity of the human body.
Some diagrams showing how the stack in the backend is configured.


{% extends 'masterpage.html' %} {% load staticfiles %} {% block title %}ACCOUNT{% endblock %} {% block content %} Register [[ status ]] [[ status_error ]] Sign Up Already, having an account? Login Login [[ status ]] [[ status_error ]] Login You don't have an account? Register {% endblock %} {% block vuejsfiles %} {% endblock %} {% block footer %} {% endblock %}
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Built-in variable time
encapsulated model SineSource import Modelica.Math.sin; connector OutPort=output Real; OutPort y=sin(time); // Uses the built-in variable time. end SineSource;
time
All declared variables are functions of the independent variable time. Time is a built-in variable available in all classes, which is treated as an input variable. It is implicitly defined as:
input Real time (final quantity = "Time", final unit = "s");
The value of the start attribute of time is set to the time instant at which the simulation is started.


--- layout: post title: "Kubernetes in 60 minutes" subtitle: "Cloud scaling in practical way" author: Marek Hudík date: 2019-02-01 17:01:13 +0100 background: '/img/posts/2018-04-11-kubernetes-in-60-minutes/05.jpg' ---
Kubernetes is leading open-source system for automating deployment, scaling, and management of containerised applications already adopted not only by startups, but also enterprises.
Deutsche Boerse is moving from own datacenters towards various cloud providers and adopting Agile development style. That brings new challenges and pushes to use automation in every stage of software lifecycle.
Michal Zerola and Adam Netočný will teach you basic knowledge about Kubernetes and show it to you in a live demo. You will learn basics, e. g. how to
Presentation: https://innovation-lab.cz/presentations/kubernetes-in-60-minutes/index.html
Presentation by Michal Zerola and Adam Netočný on 4. April 2018


A hobby is a regular activity done for enjoyment, typically during one's leisure time, not professionally and not for pay. Hobbies include collecting themed items and objects, engaging in creative and artistic pursuits, playing sports, or pursuing other amusements. Participation in hobbies encourages acquiring substantial skills and knowledge in that area. A list of hobbies changes with renewed interests and developing fashions, making it diverse and lengthy. Hobbies tend to follow trends in society, for example stamp collecting was popular during the nineteenth and twentieth centuries as postal systems were the main means of communication, while video games are more popular nowadays following technological advances. The advancing production and technology of the nineteenth century provided workers with more availability in leisure time to engage in hobbies. Because of this, the efforts of people investing in hobbies has increased with time. What are your hobbies?
List of my favorite books:
Click the link
to find some interesting books.List of my favorite cusines:
Click the link
to find some of the interesting cusines of the world.List of my favorite games:
Click the link
to find some of the interesting playing ideas.The term “bucket list” means a list of all the goals you want to achieve, dreams you want to fulfill, and life experiences you wish to experience before you die.If you don’t have a bucket list, I highly recommend you to create one. It will give you significant clarity in what you want from life. It’s an invaluable exchange.
Here is a template of my bucket list-| Things To Do | Till Age | Status |
|---|---|---|
| Go on a road trip | Before 20 | Done |
| Sleep under the stars | Before 25 | Done |
| Visit all seven continents | Before 40 | In Progress |
| Conquer a fear | Before 30 | Not done |
| Learn a foreign language | Before 25 | Done |


Cell height and width can be changed according to the choice of the user.
Format menu has Row and Column options to alter the setting of selected row or column.
Once user clicks on the Row > Height menu option, a window displaying the current height (e.g. 12.75) of the selected row (now it is A1), opens. User can enter the appropriate value and click OK button
Another way is to drag the row boundary. Once we click at row boundary the cursor changes to double headed arrow. The height is shown in the tool tip.
User can drag the cursor to get the appropriate height of the row.
Similarly the column width can also be changed. Both the ways discussed above for row are applicable to column also.