The beta A4 amyloid precursor protein binding to copper.
Previously it has been shown that the extracellular domain of transmembrane beta A4 amyloid precursor protein (APP) includes binding sites for zinc(II) and for molecules of the extracellular matrix such as collagen, laminin and the heparin sulfate chains of proteoglycans (HSPGs). Here we report that APP also binds copper ions. A copper type II binding site was located within residues 135-155 of the cysteine-rich domain of APP695 which is present in all eight APP splice isoforms known so far. The two essential histidines in the type II copper binding site of APP are conserved in the related protein APLP2. Copper(II) binding is shown to inhibit homophilic APP binding. The identification of a copper(II) binding site in APP suggests that APP and APLP2 may be involved in electron transfer and radical reactions.


ContainerReferences class Null safety
Container managed references that can be created from container configuration.
- Inheritance
- Object
- ReferencesDecorator
- ManagedReferences
- ContainerReferences
Constructors
- ContainerReferences(List tuples)
Properties
- builder ↔ BuildReferencesDecorator
-
read / write, inherited
- hashCode → int
-
The hash code for this object. [...]
read-only, inherited
- linker ↔ LinkReferencesDecorator
-
read / write, inherited
- nextReferences ↔ IReferences?
-
The next references or decorator in the chain.
read / write, inherited
- references ↔ References
-
read / write, inherited
- runner ↔ RunReferencesDecorator
-
read / write, inherited
- runtimeType → Type
-
A representation of the runtime type of the object.
read-only, inherited
- topReferences ↔ IReferences?
-
The decorator at the top of the chain.
read / write, inherited
Methods
-
close(
String? correlationId) → Future -
Closes component and frees used resources. [...]
inherited
-
find<
T> (dynamic locator, bool required) → List< T> -
Gets all component references that match specified locator. [...]
inherited
-
getAll(
) → List -
Gets all component references registered in this reference map. [...]
inherited
-
getAllLocators(
) → List -
Gets locators for all registered component references in this reference map. [...]
inherited
-
getOneOptional<
T> (dynamic locator) → T? -
Gets an optional component reference that matches specified locator. [...]
inherited
-
getOneRequired<
T> (dynamic locator) → T -
Gets a required component reference that matches specified locator. [...]
inherited
-
getOptional<
T> (dynamic locator) → List< T> -
Gets all component references that match specified locator. [...]
inherited
-
getRequired<
T> (dynamic locator) → List< T> -
Gets all component references that match specified locator.
At least one component reference must be present.
If it doesn't the method throws an error. [...]
inherited
-
isOpen(
) → bool -
Checks if the component is opened. [...]
inherited
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a non-existent method or property is accessed. [...]
inherited
-
open(
String? correlationId) → Future -
Opens the component. [...]
inherited
-
put(
dynamic locator, dynamic component) → dynamic -
Puts a new reference into this reference map. [...]
inherited
-
putFromConfig(
ContainerConfig config) → void - Puts components into the references from container configuration. [...]
-
remove(
dynamic locator) → dynamic -
Removes a previously added reference that matches specified locator.
If many references match the locator, it removes only the first one.
When all references shall be removed, use removeAll method instead. [...]
inherited
-
removeAll(
dynamic locator) → List -
Removes all component references that match the specified locator. [...]
inherited
-
toString(
) → String -
A string representation of this object. [...]
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator. [...]
inherited


§225P-2 Definitions. [See Note at beginning of chapter.] As used in this chapter:
"Commission" means the Hawaii climate change mitigation and adaptation commission. [L 2014, c 83, pt of §2; am L 2017, c 32, §4]


--- layout: default --- {% if page.comments %} Please enable JavaScript to view the comments powered by Disqus.


This company was started in 2017 and we have the best qualities of animals including horses,
cats, dogs, birds and owls.


Chapter 5 - Logarithmic Functions
5.1 Logarithms and their Properties
Objectives
- I can convert between exponential and logarithmic statements.
- I can apply the properties of logarithms to solve equations.
Common Logarithm Function
- If \(x\) is a positive number, \(\log(x)\) is the exponent of 10 that gives \(x\).
- In other words, if \(y = \log(x)\) then \(10^y = x\).
Example 1
Rewrite the following statements using exponents instead of logs.
- \(\log(4) = 0.602\)
- \(\log(q) = z\)
Example 2
Evaluate with a calculator.
- \(\log(10^7)\)
- \(10^{\log(5)}\)
Properties of the Common Logarithm
- By definition, \(y = \log(x)\) means \(10^y = x\). In particular, \(\log(1) = 0\) and \(\log(10) = 1\).
- The functions \(10^x\) and \(\log(x)\) are inverses, so they "undo" each other: \(\log(10^x) = x\) for all \(x\) and \(10^{\log(x)} = x\) for \(x > 0\).
- For \(a\) and \(b\) both positive and any value of \(t\): \(\log(ab) = \log(a) + \log(b)\), \(\log\left(\frac{a}{b}\right) = \log(a) - \log(b)\), and \(\log(b^t) = t\log(b)\).
Example 3
Solve the equation using logs. \[(1.45)^x = 25\]
The Natural Logarithm
- For \(x > 0\), \(\ln(x)\) is the power of \(e\) that gives \(x\).
- In symbols, \(\ln(x) = y\) means \(e^y = x\), and \(y\) is called the natural logarithm of \(x\).
Properties of the Natural Logarithm
- By definition, \(y = \ln(x)\) means \(x = e^y\). In particular, \(\ln 1 = 0\) and \(\ln e = 1\).
- The functions \(e^x\) and \(\ln x\) are inverses, so they "undo" each other: \(\ln(e^x) = x\) for all \(x\) and \(e^{\ln x} = x\) for \(x > 0\).
- For \(a\) and \(b\) both positive and any value of \(t\): \(\ln (ab) = \ln a + \ln b\), \(\ln \left(\frac{a}{b}\right) = \ln a - \ln b\), and \(\ln (b^t) = t\ln b\).
Example 4
Solve the equation using logs. \[10 = 22(0.87)^q\]
Assignments
- Day 1 Page 185, 1-17 odd
- Day 2 Page 186, 19-33 odd
- Day 3 Page 187, 35-51 odd (not 45, 51)
5.1 Day 2
Agenda
- Warm-Up Problem
- Day 1 Page 185, 1-17 odd Assignment Questions
- Misconceptions Involving Logs Notes
- Work time
Objectives
- I can convert between exponential and logarithmic statements.
- I can apply the properties of logarithms to solve equations.
Warm-Up Problem
Simplify. \[log(\sqrt{10000})\]
Solve the equation using logs. \[\frac{2}{7} = (0.6)^{2t}\]
Properties of the Natural Logarithm
- The functions \(e^x\) and \(\ln x\) are inverses, so they "undo" each other: \(\ln(e^x) = x\) for all \(x\) and \(e^{\ln x} = x\) for \(x > 0\).
- For \(a\) and \(b\) both positive and any value of \(t\): \(\ln (ab) = \ln a + \ln b\), \(\ln \left(\frac{a}{b}\right) = \ln a - \ln b\), and \(\ln (b^t) = t\ln b\).
Questions on Page 185, 1-17 odd?
Misconceptions Involving Logs Notes
- \(\log(a+b) \neq \log(a) + \log(b)\)
- \(\log(a-b) \neq \log(a) - \log(b)\)
- \(\log(ab) \neq (\log(a))(\log(b))\)
- \(\log\left(\frac{a}{b}\right) \neq \frac{\log(a)}{\log(b)}\)
- \(\log\left(\frac{1}{a}\right) \neq \frac{1}{\log(a)}\)
Work time on Assignments
- Day 1 Page 185, 1-17 odd
- Day 2 Page 186, 19-33 odd
- Day 3 Page 187, 35-51 odd (not 45, 51)
- All Due Wednesday
5.1 Day 3
Agenda
- Warm-Up Problem
- Page 186, 19-33 odd Assignment Questions
- Work time
Objectives
- I can convert between exponential and logarithmic statements.
- I can apply the properties of logarithms to solve equations.
Warm-Up Problem
Use the properties of logarithms to solve for \(x\). \[\log(3(2)^x) = 8\]
Solve the equation exactly for \(x\). \[e^{x+5} = 7(2)^x\]
Properties of the Natural Logarithm
- The functions \(e^x\) and \(\ln x\) are inverses, so they "undo" each other: \(\ln(e^x) = x\) for all \(x\) and \(e^{\ln x} = x\) for \(x > 0\).
- For \(a\) and \(b\) both positive and any value of \(t\): \(\ln (ab) = \ln a + \ln b\), \(\ln \left(\frac{a}{b}\right) = \ln a - \ln b\), and \(\ln (b^t) = t\ln b\).
Warm-Up Problem 1 Solution
- Use the properties of logarithms to solve for \(x\).
\[\begin{align*}
\log(3(2)^x) &= 8 \\
\log(3)+\log(2^x) &= 8 \\
\log(3)+x\log(2) &= 8 \\
x\log(2) &= 8-\log(3) \\
x &= \frac{8-\log(3)}{\log(2)} \\
\end{align*}\]
Warm-Up Problem 2 Solution
- Solve the equation exactly for \(x\).
\[\begin{align*}
e^{x+5} &= 7(2)^x \\
\ln(e^{x+5}) &= \ln(7(2)^x) \\
x+5 &= \ln(7)+\ln((2)^x) \\
x+5 &= \ln(7)+x\ln(2) \\
x-x\ln(2) &= \ln(7)-5 \\
x(1-\ln(2)) &= \ln(7)-5 \\
x &= \frac{\ln(7)-5}{1-\ln(2)}
\end{align*}\]
Questions on Page 186, 19-33 odd?
Work time on Assignments
- Day 1 Page 185, 1-17 odd
- Day 2 Page 186, 19-33 odd
- Day 3 Page 187, 35-51 odd (not 45, 51)
- All Due Tomorrow
5.2 Logarithms and Exponential Models
Objectives
- I can use logarithms to solve exponential equations.
- I can setup an exponential equation to model doubling and half-life.
Example 1 - Doubling Time
You place 1000 MMK in a KBZ Bank fixed deposit bank account. According to their website, a 1 month term account earns 9% interest, 3 months earns 9.25%, 6 months earns 9.5%, 9 months earns 9.75%, and 12 months earns 10%.
- How often is a fixed account compounded at KBZ Bank?
- \(\$ 1 \approx 1300\) MMK. If you deposit $1000000 into the KBZ fixed deposit account with a 12 month term, how much interest would you earn?
- If you open an account with 1000 MMK, how long would it take to double your money with each term account?
Example 1 - Doubling Time - Solution
You place 1000 MMK in a KBZ Bank fixed deposit bank account. According to their website, a 1 month term account earns 9% interest, 3 months earns 9.25%, 6 months earns 9.5%, 9 months earns 9.75%, and 12 months earns 10%.
- How often is a fixed account compounded at KBZ Bank? Depends on the term. \(B = P\left(1+\frac{r}{n}\right)^{nt}\)
- \(\$ 1 \approx 1300\) MMK. If you deposit $1,000,000 into the KBZ fixed deposit account with a 12 month term, how much interest would you earn? \(P = 1000000\), \(t = 1\), \(r = 0.1\), \(n = 1\), so \(B = 1000000\left(1+\frac{0.1}{1}\right)^{1(1)} = 1100000\). This means they earn $100000 in interest.
- If you open an account with 1000 MMK, how long would it take to double your money with each term account?
- 1 month: \(n = 12\) and \(r = 0.09\), so \(2000 = 1000\left(1+\frac{0.09}{12}\right)^{12t}\). \(t = \ln(2)/(12\ln\left(1+\frac{0.09}{12}\right)) \approx 7.730\) years.
- 3 months: \(n = 4\) and \(r = 0.0925\), so \(2000 = 1000\left(1+\frac{0.0925}{4}\right)^{4t}\). \(t = \ln(2)/(4\ln\left(1+\frac{0.0925}{4}\right)) \approx 7.579\) years.
- 6 months: \(n = 2\) and \(r = 0.095\), so \(2000 = 1000\left(1+\frac{0.095}{2}\right)^{2t}\). \(t = \ln(2)/(2\ln\left(1+\frac{0.095}{2}\right)) \approx 7.468\) years.
- 9 months: \(n = 12/9\) and \(r = 0.0975\), so \(2000 = 1000\left(1+\frac{0.0975}{12/9}\right)^{(12/9)t}\). \(t = \ln(2)/((12/9)\ln\left(1+\frac{0.0975}{(12/9)}\right)) \approx 7.366\) years.
- 12 months: \(n = 1\) and \(r = 0.1\), so \(2000 = 1000\left(1+\frac{0.1}{1}\right)^{(1)t}\). \(t = \ln(2)/(1\ln\left(1+\frac{0.1}{1}\right)) \approx 7.272\) years.
Example 2 - Half-Life
The Chernobyl expolosion in 1986 initially had a radiation reading of 300 Sv/hr near the reactor core. After 22 years, the radiation levels inside the reactor hall were about 34 Sv/hr.
- What is the rate at which the radiation is decaying? Assume exponential decay.
- How long was it until half the radiation remained?
- How long would it take to receive a lethal dose of radiation in the reactor hall today?
Example 2 - Half-Life - Solution
The Chernobyl expolosion in 1986 initially had a radiation reading of 300 Sv/hr near the reactor core. After 22 years, the radiation levels inside the reactor hall were about 34 Sv/hr.
- What is the rate at which the radiation is decaying? Assume exponential decay. \(34 = 300e^{k(22)}\), so \(k = \ln(34/300)/22 \approx -0.098973725\), so down by 9.897%.
- How long was it until half the radiation remained? \(150 = 300e^{-0.098973725t}\), so \(t = \ln(150/300)/(-0.098973725) \approx 7.003345388\) years.
- How long would it take to receive a lethal dose of radiation in the reactor hall today? \(Sv = 300e^{-0.098973725(30)} \approx 15.40312983\), so 15 Sv/hr would mean 5 Sv in 20 minutes.
Converting Between \(Q = ab^t\) and \(Q = ae^{kt}\)
Any exponential function can be written in either of the two forms: \[Q = ab^t \text{ or } Q = ae^{kt}\] If \(b = e^k\), so \(k = \ln(b)\), the two formulas represent the same function.
Example 3
Convert to the form \(Q = ab^t\). \[Q = 0.3e^{0.7t}\]
Example 3 - Solution
Convert to the form \(Q = ab^t\). \[Q = 0.3e^{0.7t} = 0.3(e^{0.7})^t \approx 0.3(2.01375)^t\]
Example 4
Convert to the form \(Q = ae^{kt}\). Give the starting value \(a\), the growth rate \(r\), and the continuous growth rate \(k\). \[Q = 5(2)^{t/8}\]
Example 4
Convert to the form \(Q = ae^{kt}\). Give the starting value \(a\), the growth rate \(r\), and the continuous growth rate \(k\).
\(Q = 5(2)^{t/8} = 5\left(2^{\frac{1}{8}}\right)^t\), so \(e^k = 2^{\frac{1}{8}}\) and then \(k = \ln\left(2^{\frac{1}{8}}\right) \approx 0.08664\). Thus, \(Q = 5e^{0.08664t}\).
5.2 Assignments and 5.1 Homework Check
- Homework Check: 5.1, Page 185, 1-51 odd (not 45, 51)
- Day 1, Page 194, 1-19 odd
- Day 2, Page 194, 21-51 odd (not 43)
- 5.2 Assignments are due Monday
5.2 Assignment Questions?
- Day 1, Page 194, 1-19 odd
- Day 2, Page 194, 21-51 odd (not 43)
- 5.2 Assignments are due Monday
5.3 The Logarithmic Function
Agenda
- Homework Check: 5.2 Page 194, 1-51 odd (not 43)
- 5.3 Notes
- Work time
Objectives
- I can graph \(\log(x)\) and \(\ln(x)\) using their inverse functions.
- I can solve word problems involving chemical acidity, decibals, and orders of magnitude.
The Graph, Domain, and Range of the Common Logarithm
\(\log(x)\) is the inverse of \(10^x\), so the graph of \(\log(x)\) is the reflection across \(y = x\) of \(10^x\).
The domain of \(y = 10^x\) is all real numbers and the range is all positive real numbers. The domain of \(y = \log(x)\) is all positive real numbers and the range is all real numbers.
Graph of Natural Logarithm
The graph of \(y = \ln(x)\) is similar to the graph of \(y = \log(x)\), except it is the reflection across \(y = x\) of \(y = e^x\) instead of \(y = 10^x\).
Example 1
Sketch the graph \(y = \ln(x)\) for \(0 < x < 10\) by hand.
Chemical Acidity
\[pH = -\log\left[H^+\right]\] where \(pH\) is the acidity of a liquid and \(\left[H^+\right]\) is the hydrogen ion concentration.
Example 2
Find the hydrogen ion concentration, \(\left[H^+\right]\), for Lye, with a \(pH\) of 13.
Logarithms and Orders of Magnitude
If one object is 10 times heavier than another, we say it is an order of magnitude heavier. For example, the value of a dollar is two orders of magnitude greater than the value of a penny, because we have \[\frac{\$1}{\$0.01} = 100 = 10^2\] The order of magnitude is the logarithm of their ratio.
Example 3
The diameter of the earth is about 12,742 km. The diameter of the observable universe is about 93 Gly. How many orders of magnitude larger is the diameter of the observable universe than the diameter of the earth? 1 ly is about 9.461 trillion km.
Decibels
\[\text{Noise level in decibels} = 10\cdot\log\left(\frac{I}{I_0}\right).\] where \(I\) is the sound's intensity and \(I_0\) is the intensity of a standard sound. The intensity of \(I_0\) is defined to be \(10^{-16}\) watts/cm\(^2\).
Example 4
The noise level of a whisper is 30 \(dB\). Compute the sound intensity of a whisper.
Asymptotes and Limit Notation
Let \(y = f(x)\) be a function and let \(a\) be a finite number.
- The graph of \(f\) has a horizontal asymptote of \(y = a\) if \[\lim_{x \to \infty} f(x) = a \text{ or } \lim_{x \to -\infty} f(x) = a \text{ or both.}\]
- The graph of \(f\) has a vertical asymptote of \(x = a\) if \[\lim_{x \to a^+} f(x) = \infty \text{ or } \lim_{x \to a^+} f(x) = -\infty \text{ or } \lim_{x \to a^-} f(x) = \infty \text{ or } \lim_{x \to a^-} f(x) = -\infty\]
5.3 Assignments
- Day 1, Page 203, 1-13 odd
- Day 2, Page 203, 15-39 odd (#33 look at #32)
- Due Wednesday
- 5.2 Assignment will be checked tomorrow.
5.3 Assignment Questions?
- Day 1, Page 203, 1-13 odd
- Day 2, Page 203, 15-39 odd (#33 look at #32)
- 5.3 Assignments are due tomorrow.
- 5.2 Assignment, Page 194, 1-51 odd (not 43) will be checked today.
5.4 Logarithmic Scales
Linear Scales
The table below gives different distances of astronomical objects from earth.
- Plot these values on a number line with an increment of 100 million kilometers. Is it easy to compare the sizes of the distances to each other?
- Plot these values on a number line with an increment of 1 billion kilometers. Is it easy to compare the sizes of the distances to each other?
Logarithmic Scales
- Now have your increment on a number line be powers of 10, so \(10^1\), \(10^2\), \(10^3\), etc. Plot each data point on the number line. Does this look better?
Example 1
Microfinance refers to financial services, such as loans, offered to people with very low incomes. The table below shows the number of microborrowers in 2006.
Fitting an Exponential Function to Data
It is possible to fit data to an exponential function. A good way to do this is to use a logarithmic scale and then fit that data to a linear function and convert back to a linear scale after.
To fit an exponential formula, \(N = ae^{kt}\), to a set of data of the form \((t, N)\), we use three steps.
- Transform the data by taking the natural log of both sides and making the substitution \(y = \ln(N)\). This leads to the equation
\[\begin{align*}
y = \ln(N) &= \ln(ae^{kt}) \\
&= \ln(a) + \ln(e^{kt}) \\
&= \ln(a) + kt
\end{align*}\]
Setting \(b = \ln(a)\) gives a linear equation with \(k\) as the slope and \(b\) as the \(y\)-intercept:
\[y = b + kt\]
Use linear regression ont he variables \(t\) and \(y\). (Remember that \(y = \ln(N)\).)
Transform the linear regression equation back into our original variables by substituting \(\ln(N)\) for \(y\) and solving for \(N\).
Example 2
- Use linear regression to find a linear function \(y = b + mx\) that fits the data. Record the correlation coefficient.
- Use linear regression ont he values \(x\) and \(\ln(y)\) to fit a function of the form \(\ln(y) = b + mx\). Record the correlation coefficient. Convert to an exponential function \(y = ae^{kx}\).
- Compare the correlation coefficients. Graph the data and the two functions to assess which function fits best.
5.4 Assignments
- Day 1, Page 212, 1, 3, 9, 11, 13
- Day 2, Page 212, 5, 7, 15, 17, 21, 23
- Chapter 5 Review Assignment, Page 215, 1-63 odd
- Chapter 5 Test is on Thursday/Friday, January 5/6


Author: Yandong Liu. Email: yandongl @ cs.cmu.edu. Date: 2013.5
Update: I've made some update on the data loading logic so now it reads in csv-format file. Previous version is still accessible but it's no longer supported.
| Drop training data file here | Drop test data file here |
Introduction: Javascript implementation of several machine learning algorithms including Decision Tree and Logistic Regression this far. More to come.
Data format: Input files need to be in CSV-format with 1st line being feature names. One of the features has to be called 'label'. E.g.
outlook, temp, humidity, wind, label text, real, text, text, feature_type 'Sunny',80,'High', 'Weak', 'No' 'Sunny',82,'High', 'Strong', 'No' 'Overcast',73,'High', 'Weak', 'Yes'There's also an optional 2nd line for feature types and the 'label' column for 2nd line has to be called 'feature_type'. This is useful if feature types are mixed. Usage:
loadString(content, function(D) { var tree = new learningjs.tree(); tree.train(D, function(model, err){ if(err) { console.log(err); } else { model.calcAccuracy(D.data, D.targets, function(acc, correct, total){ console.log( 'training: got '+correct +' correct out of '+total+' examples. accuracy:'+(acc*100.0).toFixed(2)+'%'); }); } }); });Check the source code of this page and see how it works on the dropped files.
data_util.loadRealFile(fn_csv, function(D) { //normalize data data_util.normalize(D.data, D.nfeatures); //logistic regression. following params are optional D.optimizer = 'sgd'; //default choice. other choice is 'gd' D.learning_rate = 0.005; D.l2_weight = 0.000001; D.iterations = 1000; //increase number of iterations for better performance new learningjs.logistic().train(D, function(model, err){ if(err) { console.log(err); } else { model.calcAccuracy(D.data, D.targets, function(acc, correct, total){ console.log('training: got '+correct +' correct out of '+total+' examples. accuracy:'+(acc*100.0).toFixed(2)+'%'); }); data_util.loadRealFile(fn_test, function(T) { model.calcAccuracy(T.data, T.targets, function(acc, correct, total){ console.log(' test: got '+correct +' correct out of '+total+' examples. accuracy:'+(acc*100.0).toFixed(2)+'%'); }); }); } }); });Here's a sample code file for tree and logistic regression for its application in nodejs.
License: MIT
Also see the source code


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A three step induction proof
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Going home
Pierre Castéran


- post(String, Y, Class<T>) - Method in class com.cybernetica.bj.client.services.impl.RestServiceImpl
-
POST request
- post(String, Y, Class<T>) - Method in interface com.cybernetica.bj.client.services.RestService
-
POST request
- postActivate() - Method in class com.cybernetica.bj.client.scene.BaseSceneController
-
triggers when scene has been bound to stage or re-activated
- postActivate() - Method in class com.cybernetica.bj.client.scene.BetSceneController
-
triggers when scene has been bound to stage or re-activated
- postActivate() - Method in class com.cybernetica.bj.client.scene.BlackjackSceneController
-
triggers when scene has been bound to stage or re-activated
- postActivate() - Method in class com.cybernetica.bj.client.scene.WelcomeSceneController
-
triggers when scene has been bound to stage or re-activated
- postBuild() - Method in class com.cybernetica.bj.client.scene.BaseSceneController
-
Override to add bindings / custom logic
- postBuild() - Method in class com.cybernetica.bj.client.scene.BetSceneController
-
Override to add bindings / custom logic
- postBuild() - Method in class com.cybernetica.bj.client.scene.BlackjackSceneController
-
Override to add bindings / custom logic
- postBuild() - Method in class com.cybernetica.bj.client.scene.LoginSceneController
-
Override to add bindings / custom logic
- postBuild() - Method in class com.cybernetica.bj.client.scene.WelcomeSceneController
-
Override to add bindings / custom logic
- Properties - Class in com.cybernetica.bj.client.utils
-
Application property helper
- Properties() - Constructor for class com.cybernetica.bj.client.utils.Properties
-
- publishEvent(T) - Static method in class com.cybernetica.bj.client.context.EventProducer
-
- put(String, Y, Class<T>) - Method in class com.cybernetica.bj.client.services.impl.RestServiceImpl
- put(String, Class<T>) - Method in class com.cybernetica.bj.client.services.impl.RestServiceImpl
-
PUT request
- put(String, Class<T>) - Method in interface com.cybernetica.bj.client.services.RestService
-
PUT request


This app was made by me and Alberto Caliman since the official one was completely unusable.
After two months of positive comments and a deliberating article from the big tech magazine TuttoAndroid, we were contacted from the resort that told us to remove the app from the store since they did not appreciate our way of thinking the park.
This IOT project was realised by me and my roomate and consist in a smart thermostat which works with Firebase database. The app that I built allows you to control the thermostat.
Check it outThis project consist in a machine which is able to prepare your favorite cocktails by ordering them from your Android smartphone. This project was created as a part of my high school graduation exam.
Check it out


Area 1
Area 2
Area 1
Area 2
Angular version of splitter component. It is implemented by using .component()
method introduced since Angular1.5. This component consisting of a moveable split bar(s) that divides a container's display area into two or more resizable panels.
| Attributes:Bindings | Accept value | Note |
|---|---|---|
splitter-style: < |
Object (Default: {width: '100%',height: '100%',background: '#ffffff'}) | The style of the splitter container. |
orientation: @ |
|
The split orientation of the splitter. |
on-drag: & |
Function(pane, nextPane, event) |
Callback function when splitter bar was moved.
|
| Attributes:Bindings | Accept value | Note |
|---|---|---|
init-size: @ |
Number/Number with 'px' unit/Percentage (eg. 50/50px/50%) |
The initial size of the spit pane. For vertical orientation is width, for horizontal orientation is height. The default unit is 'px' when pass number value. |
min-size: @ |
Number/Number with 'px' unit/Percentage (eg. 50/50px/50%) |
The minimum size of the spit pane. For vertical orientation is width, for horizontal orientation is height. The default unit is 'px' when pass number value. |
Vertical splitter
Area 1
Area 2
Horizontal splitter
Area 1
Area 2
angular.module('wf.ng.demo', ['wf.angular.splitter']).controller('splitterDemoController', splitterDemoController);
function splitterDemoController() {
var self = this;
self.style = {
width: '300px',
height: '200px',
background: '#ffffff',
borderRadius: '6px',
border: '1px solid #d8d8d8'
};
self.onVerticalDrag = function (pane1, pane2) {
alert('pane offset will be changed to ' + pane1.style.width + '\nsibling pane offset will be changed to ' + pane2.style.width);
};
self.onHorizontalDrag = function (pane1, pane2) {
alert('pane offset will be changed to ' + pane1.style.height + '\nsibling pane offset will be changed to ' + pane2.style.height);
};
}
angular.element(document).ready(function () {
angular.bootstrap(document, ['wf.ng.demo'], {
strictDi: true
});
});


Robert L. Bright
Unafffiliated
Retired
B.A. History, University of Arizona 1972 Master of Urban Planning, Texas A&M University 1976
81321
As a former planning director for La Plata County, Colorado part of my responsibility was to work with the various community groups in the county to ascertain their perspective in how project proposals should be considered for BOCC review and also their perspective on the future growth and development of the county. I worked with community groups to formulate future plans and policies to present to the BOCC for public input and action.
None
Colorado Civil Air Patrol
The process this commission is about to embark upon is one key to the effective representation of the people of Colorado. It needs to carefully craft recommendations which weigh the interests, concerns and, most vitally, the quality of representation of the areas of Colorado so that the citizens of Colorado will feel they are truly heard at the legislative level. I sincerely would like to participate in such an incredibly important process. I feel that I have an opportunity to use my skills, knowledge and interests to really make a contribution to this process.
I am a data driven person who will look to maximize any agreed upon quantitative criteria to achieve goals. I really am not a partisan person. I will seek to use data and policies in coordination to achieve goals. I will seek to get agreement on overall policies and goals to achieve the most effective result to our challenge. I will also doggedly seek to apply agreed upon criteria to achieve goals. While a good team player, I am also forceful about focusing on goals and in avoiding going down rabbit holes.
I have rusty but expert demographic skills which I have used very creatively in the past to come up with solutions to difficult issues. This includes fine tuned analysis of census data down to the block level. I have also work on planning, capital programming, budgeting and analytical documents which required a high degree of reasoned analysis to complete. Taking these documents to the elected official level required a sound logical approach to develop recommendations which elected officials would find reasonable and well thought out.
male


Corpus Linguistics¶
Introduction¶
Corpus linguistics is the study of language as expressed in corpora of “real world” text. We started with analysing language complexity in Budget Speeches (from 1947 till date). Results can be found in the above repository.
Methodology¶
This section explains the setup and the process.
Setup¶
The setup for Language Analysis for Budget Speech (LABS) is provided here.
To install complang check the setup guide here
Process¶
LABS was built to analyse the language complexity in Union Budget speeches over the years. It uses complang, a python package, that has different linguistic and complex network measures to measure language complexity.
It also comes with the crawler code for scraping budget speeches.
complang¶
The explaination of each of the measure used is provided in the docstrings of their respective functions (here in the measures).
Below are the Vocabulary measures used:
Type-token ratio
Guiraud_r Index
Herdan_c Index
Dugast_k measure
Maas_a2 measure
Dugast_u measure
Tuldava measure
Brunet_w measure
CTTR measure
Summer_s score
Sichel_s measure
Michea_m measure
Honore_h score
Herdan_vm measure
Entropy
Yule_k measure
Simpson_d measure
HDD
MTLD
Below are the list of Dependency measures used:
Average dependency distance
Average closeness centrality
Average closeness outdegree
Average dependents per word
Average longest shortest path
Average sentence length
Average length of characters in a sentence
Average length of syllables in a sentence
Average punctuations per sentence
Below are the list of Constituent measures used:
T units
Complex T units
Clauses
Dependent Clauses
NPS
VPS
Coordinate phrases
Constituents
Constituents w/o leaves
Height
Summary¶
Corpus lingustics was applied to Union budget speeches to analyse the language complexity. The results of the experiments can be found here . Complang is being used as a submodule that contains all of the linguistic measures and few of the complex networks measures.
Please feel free to write us at<EMAIL_ADDRESS>, if you have any questions or concerns, we are happy to help!


The Table Editor application is designed to create table views which are displayed on operator's workstation. Table Editor is used by engineers during Rapid SCADA configuration.
Figure 1. Table Editor application
Choose the channels from the configuration database in the left pane of the window, and add them to the table view. The contents of the table view is displayed in the right pane. Hidden items of a table view are not displayed in the Webstation application, however they make sense when filtering events by view.
Table Editor is usually started from the Administrator application by double-clicking on a table view node in the project explorer. The status bar of the editor displays the configuration database path of the project in which contains the table being edited.


Woohoo! Well it's been a while hasn't it? I had such delusions of blogging grandeur, but alas it's been a good 6 months since my last post. Let's remedy that, shall we?
First things first
What fun, exciting stuff has happened in the span of 6 months? Well, in (roughly) chronological order with some pictures, here are some things that have taken up a large portion of those 6 months:
Yahoo Hack U! - First place! Thanks team
Rock My World! - Must be viewed on iPhone... since it's an iPhone application!
National Geographic: The Tomb of Genghis Khan
UCSD Graduation!
Liechtenstein ( No pictures... yet! )
So what's next?
Sounds like a pretty exciting six months, right? Well I've only just begun! I'll be spending the next 3 months in Liechtenstein, a fantastically small country in the heart of Europe, working as an intern developing iPhone applications for the Hilti Corporation.
From here on out, I'll reminisce about past events and ponder about the present. You'll see some neat pictures depicting my many travels across the grand continent of Europe, some tidbits here and there pertaining to random side projects, and... more? Stay tuned!


Click one of the boxes to center the view onto it click the central box to toggle the final animation


HCI seminar
The HCI Seminar at MIT CSAIL hosts invited speakers from the SIGCHI community.
You can find more information about the seminar on its website. When: every second tuesday, 1-2pm
Where: Kiva Seminar Room, Stata Center (32G-449)
Website: http://hci.csail.mit.edu/hci-seminar.html


Grand Master Hanarin:
This is the Hill of Spirit, a cemetery for dead warriors. Take a moment to pray for those who rest here.
Ask about the 1st class transfer.
Clan
Alliance
Quest


The Domain Name System (DNS) is the Internet's phone book. Domain names such as nytimes.com and espn.com allow people to access content on the internet. Internet Protocol (IP) addresses are used to communicate between web browsers. DNS converts domain names to IP addresses, allowing browsers to access resources on the Internet. Each Internet-connected device has a unique IP address that other machines use to locate it. DNS servers minimize the need for people to learn IP addresses like <IP_ADDRESS> (in IPv4) or more complex modern alphanumeric IP addresses like 2400:cb00:2048:1::c629:d7a2 (in IPv6) (in IPv6).Apart from the first request, the DNS search occurs "behind the scenes" in the web browser and requires no involvement from the user's computer.
DNS resolution is the process of turning a hostname (for example, www.example.com) into a computer-friendly IP address (such as <IP_ADDRESS>). Each device on the Internet is assigned an IP address, which is required to locate the right Internet device, just like a street address is required to locate a certain residence. When a user requests a webpage, a translation must take place between the user's input (example.com) and the machine-friendly address required to locate the example.com webpage. To comprehend the DNS resolution process, it's necessary to first learn about the many hardware components that a DNS query must transit through. Apart from the first request, the DNS search occurs "behind the scenes" in the web browser and requires no involvement from the user's computer.
DNS recursor - The recursor can be compared to a librarian who is requested to locate a certain book in a library. The DNS recursor is a server that receives requests from client machines via web browsers and other programs. The recursor is often in charge of making extra queries to satisfy the client's DNS query.
Root nameserver - The root server is the initial stage in converting human-readable host names to IP addresses (resolving). It's similar to a library's index, which leads to different book racks; it's usually used as a pointer to other, more specialized places.
TLD nameserver - The top level domain server (TLD) can be compared to a particular shelf in a library. The final component of a hostname is hosted by this nameserver, which is the following stage in the search for a specific IP address .
Authoritative nameserver - This last nameserver may be compared to a dictionary on a bookshelf, where a specific name can be translated into its explanation. In a nameserver inquiry, the authoritative nameserver is the last stop. If the authoritative name server has access to the requested record, it will provide the requested hostname's IP address to the DNS Recursor (the librarian) who initiated the request.
The majority of the time, DNS is concerned with translating a domain name into an IP address. It's helpful to track the course of a DNS lookup from a web browser to the DNS lookup process and back to understand how this process works. Let's look at the steps one by one.
The 8 steps in a DNS lookup:
1. A user types ‘example.com’ into a web browser and the query travels into the Internet and is received by a DNS recursive resolver.
2. The resolver then queries a DNS root nameserver (.).
3. The root server then responds to the resolver with the address of a Top Level Domain (TLD) DNS server (such as .com or .net), which stores the information for its domains. When searching for example.com, our request is pointed toward the .com TLD.
4. The resolver then makes a request to the .com TLD.
5. The TLD server then responds with the IP address of the domain’s nameserver, example.com.
6. Lastly, the recursive resolver sends a query to the domain’s nameserver.
7. The IP address for example.com is then returned to the resolver from the nameserver.
8. The DNS resolver then responds to the web browser with the IP address of the domain requested initially.
Once the 8 steps of the DNS lookup have returned the IP address for example.com, the browser is able to make the request for the web page:
9. The browser makes a HTTP request to the IP address.
10. The server at that IP returns the webpage to be rendered in the browser (step 10).
1.Recursive query - A DNS client expects a DNS server (usually a DNS recursive resolver) to reply to a recursive query with either the requested resource record or an error message if the resolver is unable to locate it.
2.Iterative query - In this case, the DNS client will let the DNS server deliver the best possible response. If the requested DNS server cannot find a match for the query name, it will forward the request to a DNS server that is authoritative for a lower level of the domain namespace. After then, the DNS client will query the referral address. This procedure continues along the query chain with other DNS servers until an error or timeout occurs.
3.Non-recursive query - This usually happens when a DNS resolver client requests a record from a DNS server that it has access to, either because it is authoritative for the record or because the record is in its cache. DNS records are typically cached by DNS servers to save unnecessary bandwidth usage and stress on upstream systems.


Szuskin, L., Fourques de Ruyter, S., & Doucleff, J. (2009). Beyond Counterfeiting: The Expanding Battle Against Online Piracy. Intellectual Property & Technology Law Journal, Volume 21 (11). Retrieved from http://ezproxy.lib.monash.edu.au/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=44809781
Tusikov, N. (2016). Chokepoints. Berkerley, CA: University of California Press. Retrieved from https://ebookcentral-proquest-com.ezproxy.lib.monash.edu.au/lib/monash/detail.action?docID=4456469


"x" "1" "WATABE,J AND BERNSTEIN,H, THE MUTAGENICITY OF BILE ACIDS USING AFLUCTUATION TEST, MUTAT. RES. 158(1-2):45-51, 1985"


This assignment is to be done individually.
The following is offered with apologies to the vast majority of students who do their work honestly and take their university learning seriously:
Your instructor takes academic integrity seriously and has no tolerance for plagiarism or any other form of academic misconduct. Failure to respect these guidelines will result in you receiving a grade of zero on this assignment.
Acceptable collaboration between students, provided it is acknowledged explicitly in your report and code, might include:
Unacceptable collaboration and violations of academic integrity include, but are not limited to:
Modern classification techniques can be used to distinguish and categorize many things which some people may consider uniquely human. In this assignment you will use two basic classification algorithms to divide songs in ten music genres: classical, country, edm_dance, jazz, kids, latin, metal, pop, rnb, and rock.
This assignment is organized as a kaggle competition. To participate you will need to create a kaggle account using your McGill email. Once you have your account, go to the link posted on moodle to join the competition.
Before doing any classification, you will need to download the data found in the 'Data' menu of the kaggle competition. There you can download a zip file containing a CSV file and two subdirectories, containing training and testing data. The data are a set of files, each corresponding to a single song. The CSV file, labels.csv contains the labels for the songs in the training directory.
Every line in the song files consists of 12 decimal numbers, corresponding to the frequency analysis of a small segment of the song. There are between approximately 300 and 1300 segments per song, depending on the length, beat, and timbre of the music.
Each line can be thought of as a 12-dimentional feature vector with genre label of that song.
Your first task is to download these files, and load them into your program so that they may be manipulated. The files are in CSV format, so you may benefit from the use of a dataframe library (e.g., pandas in python). Additionally, you should split your data into separate training and testing sets.
You may wish to start by using a small subset of the training data for testing purposes, making sure that you don't also train on these examples. This will allow you to gain confidence in the performance of your classifier before you try it with a greater portion of testing data, and eventually, validating it on the competition test set.
The first type of classifier you will build is a Gaussian classifier.
For each genre, calculate the 12-dimensional mean vector and 12x12-dimensional covariance matrix from your training set. These 12+144 numbers fully describe the probabilistic model of the genre. You should have one mean vector and one covariance matrix for each of the six genres.
With the model trained you will now want to evaluate it on the testing set. This model allows you to make predictions both on the feature vectors and on songs as a whole. To make a prediction on a new feature vector simply plug it into the following equation, giving the unnormalized negative log likelihood (UNLL) for each genre:
where is the mean vector of that genre, and is its covariance matrix.
The UNLL is an indicator of the probability of a feature vector belonging to a song of a specific genre. The lower the UNLL, the higher the probability. Therefore, the genre with the lowest value of UNLL is the highest probability prediction for the corresponding feature vector.
Extending this idea, it is possible to predict a genre for an entire song. To accomplish this, repeat the previous step on all the feature vectors of that song and average the results for each genre. The genre with the lowest average UNLL is the prediction.
One of the main advantages of this type of classifier is that no training is required. All the classifying information is found in the unformatted data.
Given a new song, calculate the Euclidean distance between each feature vector with all the feature vectors in your training set. Then find the k vectors with the smallest distance from . Assign each vector the genre of the majority of these k vectors. Finally, to assign a genre to the song, find the majority class of its feature vectors.
Try to improve your score on Kaggle. You are free to use any method, classifier or third-party library you want. Discuss your method and how it compares to the previous two classifiers.
You are expected to write the algorithms for the Gaussian and k-NN classifiers. You are allowed to use a linear algebra package, e.g., numpy, as you see fit, as long as you write the core of the prediction algorithm.
Your report should address the following questions:
Your assignment must be submitted through moodle to allow for peer- and self-assessment. The submission must contain:
(Subject to minor revision)
| Question/Criterion | Unsatisfactory | Bare minimum | Satisfactory | Above and beyond |
|---|---|---|---|---|
| 1. What assumptions about the data do we make when we model the data using a Gaussian distribution? | 0, No discussion | 1. One assumption is stated. | 3. Several key assumptions are stated. | |
| 2. When do you expect that a Gaussian will work well and when do you think it will not work well? | 0. No discussion | 1. Only one situation is given, where one classifier is better than the other. | 3. Several situations are given, without elaborating on what makes one classifier better than the other. | 5. All previous criteria. With elaborate discussion of the factors that make one classifier better than the other. |
| 3. What values of k work best for the kNN classifier? | 0. No discussion | 1. A value of k is stated without supporting graph. | 3. A value of kis stated, with a graph showing the results of different experiments. | |
| 4. Based on your results from this assignment, which classifier (Gaussian, kNN, or other) works best for the task of music genre classification | 0. No discussion | 1. A classifier is stated as best, without supporting evidence. | 3. A classifier is stated as best, with supporting evidence, but without discussing why. | 5. A classifier is stated as best, with elaboration on why, and with supporting evidence. |
| 5. Code and documentation. | 0: Code does not run. | 1: Code runs without documentation or feedback. | 3: Code runs, is well documented, and gives meaningful feedback. | |
| 6. Kaggle performance. | 0: No submissions were made to kaggle. | 1: Bottom third of submissions. | 2: Top two-thirds of submissions. | 3: Top submissions. |
Original specifications by Douglas Turnbull
Last updated on 15 October 2017


| DOSE: |
6 tablets |
oral |
DXM |
(pill / tablet) |
[Erowid Warning: Most Coricidin contains CPM (Chlorpheniramine Maleate) which can be dangerous in high doses. See DXM Brand Warnings for more info.]
While it is true that I experienced the hardest trip of my life, it was the most terrifying experience I have ever endured. It began with my entire body becoming numb and my pupils dilated. Over the next hour I began experiencing some disturbing symptoms. My mouth became heavy and I could hardly talk. My eyes crossed over into the center of my head and rolled back. They would quiver and I was nearly blind. I began shaking and my body temperature rose to an extreme, my heartrate was out of control and I was hyperventilating. Whenever I tried to walk I felt unable to understand my surroundings. Most bizarre of all, I thought I became a lizard and I tried to climb the walls, and I became hostile to my boyfriend and friend who tried to stop me.
Once I calmed down, I experience the sensation of my legs dissolving into sand. By the time it was all over I felt paralyzed. And here I am, three days later, and still suffering the consequences. I am still experiencing blurred vision, speech problems, and confusion. And worst of all I haven't been able to urinate. It wasn't until yesterday that I realized I haven't used the bathroom at all. I drank three glasses of water and in the following couple of hours I finally urinated eight times, but each time I couldn't control it and nearly peed my pants. And each time I felt like I needed to go more but it hurt too badly and so I couldn't. This morning I wet my bed for the first time in FIFTEEN YEARS. I'm sorry, but this is just retarded. No trip is worth this.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


ELECTRONIC ARCHIVE
Timothy L. Stinson, editor
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Kerala is a state on the southwestern Malabar Coast of India. It was formed on 1 November 1956.Kerala is one of the smallest states of India. The state stretches along the Malabar coast on the western side of the Indian peninsula, is sandwiched between the hills of the Western Ghats on its eastern edge, the Arabian sea on the western edge and is bordered by the states of Karnataka and Tamil Nadu.
God’s own country is a phrase that was first used in the context of Kerala by Vipin Gopal in 1993. Later, the Kerala state tourism development corporation adopted it as the brand for its tourism promotion campaigns. The National Geographic Magazine has named Kerala as one of the ten paradises of the world. Trivandrum (now Thiruvananthapuram) is the capital of Kerala.
Exploding palms and trumpeting elephants, temple dances that thunder into the night, colourful festivals, serene churches, enchanting byways and elegant snake boat races make Kerala a land of stunning beauty and yes God’s own country…


How to check if your home insurance will cover damage from flooding
You may be wondering whether your home has the correct insurance in place
by Hayley WatsonDerbyshire has been battered by flooding this week following heavy rainfall.
While the rain has just about stopped for now, residents have been urged to stay vigilant as flood warnings and alerts remain in place across the region.
Several roads across the county are closed and Cross Country trains have been hit by cancellations, causing disruption to travel .
A number of schools have also been closed due to the extent of the flooding.
The Environment Agency says it is working with emergency responders and local authorities to protect people and properties in Derbyshire and other parts of the country.
If your home has been affected by flooding, you may be wondering whether your home has the correct insurance in place to make a claim.
Here is what the government's Money Advice Service says you should do in order to check if your home is covered.
Check all the details
To check whether you are covered in the event of a flood, the service says: "Check all the details in your buildings and contents insurance policies that relate to flooding and make sure you have enough cover to protect you in the event of a flood.
"Even if your insurance isn’t up for renewal, it’s worth checking."
Call the insurance company
Next, homeowners will want to call their insurance company to inform them.
It continues: "Call your insurance company to query anything you’re not sure about.
"New laws mean that it’s up to insurance companies to ask the right questions about what they want to know.
"But if your property has a history of flooding, you should inform your insurance company – even if they don’t ask.
"The last thing you need is a hitch if you ever need to make a claim."
- The Money Advice Service offers free impartial advice to UK residents. You can call them for advice on 0800 138 777 between Monday to Friday, 8am to 6pm.
- Our live updates of flooding in Derbyshire can be followed here


When in "Stacked" view, the reservoirs are stacked in order of elevation, with the highest at the top, and the lowest at the bottom.


Basic Time Picker
Basic usage of Time Picker without Forms and with options like meredian
, allowNull
,
disabled
, pre-populating and changing dates.
Time Picker with Reactive Forms
Usage of Time Picker with Platform Forms using Reactive Forms.
Time Picker with Template Forms
Usage of Time Picker with Platform Forms using Template Forms.


My $5 Digital Music Experiment
I
*really* want to own my digital songs, so I've been dying for a real site to
purchase them one at a time, instead of buying entire albums I don't want or
ripping the songs off of the albums I do own. Towards that end, I was excited
about BuyMusic.com and immediately spend $4.95 on five Avril songs. Overall, it
was not a happy experience.
What I love about BuyMusic.com is the site:
-
The web site is very usable and full-featured, making finding, listening to
and ordering artists, songs and albums easy
- The price is right:
$.99/song and $9.49/album
- I really wanted to immediately find the
web service so that I could write a program to go through my wife's bootleg
mp3s and purchase them
Unfortunately, I hate BuyMusic.com
because of the Digital Rights Management (DRM) experience:
- On one
machine, I could listen to all of the songs, but only after a "DRM upgrade"
(whatever that means)
- On another machine, I had to do systems
administration to play a song (DRM doesn't like it when you're a guest and
an administrator in the same account). This is fine for me, because I can
chase the error to the web page and do the systems administration on my
account, but what about normal people? Then I had to do another DRM upgrade.
*Then* I had to log in with my user name and password on *every* song! That
means I have to roam around to every machine in my house that might possibly
want to listen to the music, because only I know the email/password for the
songs I buy. What a PITA!
- I'm allowed three machines? Why? I can
take my CDs to any machine in the house and my cars. I want to own this
music for life and I *know* I'll have more than 3 machines before the end of
it. I tried it on four machines and it didn't turn me away, which is nice,
but how long will that last?
- How are these WMA files going to work
with my mp3 player? Even if the format works, will the DRM get in the way?
-
What about if I download a bunch of songs on my way out the door? If I'm on
an airplane, I can't jack into the Internet to obtain the license and there
was no "pre-license" batch mode that I could find to save me from obtaining
the licenses one at a time
The whole experience made me want to
cry. The site was so great, but the playback was *so* hard. Why do I have to be
treated like a child? I'm dying to pay for the music I want, but I don't want to
be penalized for it. I really wanted to find the inevitable hacking tool to
strip the DRM off of the music I downloaded so that I could use it more freely,
but what's the point of that? This kind of hacking would break the license
agreement and is no better than downloading mp3s (although the the latter is a
hell of a lot more convenient).


[gecode-users] Efficiently excluding a set of values from the domains of multiple IntVars
Kish Shen
kisshen at cisco.com
Mon Nov 7 20:55:57 CET 2011
Hi,
A user who is testing the ECLiPSe Gecode Interface reports an issue he
is having with trying to convert his application from using ECLiPSe's
native solver:
He needs to exclude the same set of values from the domains of a set of
variables. With ECLiPSe's native ic solver, he is doing this with a
primitive which exclude one value from one variable, so he has an outer
loop that loops through the variables, and then for each variable, each
value is excluded:
foreach(V, Vars) do
foreach(Val, Values) do exclude(Val, V)
where exclude removes Val from variable V's domain.
When this code was used in the Gecode interface, the execution time was
about 15 times slower than when running with ic.
In the Gecode interface, the exclude is implemented using a reified
dom() constraint, i.e. something like:
dom(home, V, Val, 0)
Part of the reason for this difference is the removal of one element at
a time. In ic, interer domains are represented as bitmaps, so removing
one value at a time is quite efficient, it is simply a bit operation.
I assume this is not the case with Gecode?
As a way to exclude all the values at the same time, he used reified dom
constraint directly, i.e. something like:
dom(V, Values, 0);
this is faster, but is still 5 times slower than the original code in
ic, and about 20% slower than the equivalent ic code (i.e. also using
reified domain constraint).
Some of the remaining difference is probably caused by the overheads the
Gecode interface needs for allowing recomputation/cloning -- posting of
constraints need to be remembered so that they can be recomputed if
needed. So it should be much more efficient if the set of values can be
excluded from all the variables at once, i.e. something like:
dom(Vars, Values, 0)
however, the refieid domain constraint supports only IntVar, and not
IntVarArgs (unlike the non-reified versions of the constraint).
ECLiPSe also does not support reified domain constraint on multiple
variables (nor the exclusion of a single value from multiple variables,
which is why my user has a loop through the variables). Is there any
strong reason for this restriction, or is it because it is unlikely that
you want to reify the domain of a set of variables in the same way?
Is there a more efficient/direct way in Gecode of excluding one value or
a set of values from the domain of one (or multiple) variables? I am
using reified domain constraint because I could not find any more direct
way of doing this?
Thanks and cheers,
Kish
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More information about the users
mailing list


GruntStart:
A Grunt-enabled head-start with the H5BP, jQuery, Modernizr, and
Respond. The building blocks to quickly get started with Grunt
to create an optimized website.
Sparky.js is a client-side
application scaffold which helps those who want to have organized
structure in their app, but don’t want to subscribe to a particular
client-side MVC framework.
Yeoman is a robust and opinionated
set of tools, libraries, and a workflow that can help developers
quickly build beautiful, compelling web apps.
Brunch is an assembler for HTML5
applications. It‘s agnostic to frameworks, libraries, programming,
stylesheet & templating languages and backend technology.
Automaton: Task
automation tool built in JavaScript.
BootPag: BootPag - dynamic pagination jQuery plugin for
twitter bootstrap
Bootstrap Arrows: A simple jQuery plugin and add-on to the popular
Twitter Bootstrap framework to include the use of arrows
at any angle in your UI designs.
X-editable: In-place editing with Twitter Bootstrap, jQuery UI or
pure jQuery
jSwipeKinetic
is a jQuery plugin that enables you to add kinetic scrolling
on your touch optimized projects. jSwipeKinetic is build on
top of jGestures (jgestues.codeplex.com).
jQuery.pep.js: A
lightweight plugin for kinetic-drag on mobile/desktop.
Overscroll
is a jQuery plug-in that mimics the iphone/ipad scrolling
experience in a browser.
jGestures
jQuery plugin enables you to add gesture events such as
‘pinch’, ‘rotate’, ‘swipe’, ‘tap’ and ‘orientationchange’
just like native jQuery events.
hammer.js
is a focused, standalone JavaScript library, only for
multi-touch gestures.
Touchy: is a highly
configurable jQuery plugin. It exposes event data (velocity,
etc.) for longpress, drag, pinch, rotate and swipe.
The
Blueprints
are a collection of basic and minimal website concepts, components,
plugins and layouts with minimal style for easy adaption and usage,
or simply for inspiration.
DOM Manipulation
xui: a super micro tiny dom library
for authoring html5 mobile web applications.
Tire offers a more lightweight
alternative to libraries such as jQuery, Prototype and Zepto.
Typography
[Quick guide to webfonts via @font-face](http://www.html5rocks.com/en/tutorials/webfonts/quick/)
[How To Achieve Cross-Browser @font-face Support](http://blog.themeforest.net/tutorials/how-to-achieve-cross-browser-font-face-support/)
Dart: Typed language
compiled to JavaScript. By Google.
Sass is an extension of
CSS3, adding nested rules, variables, mixins, selector
inheritance, and more. It’s translated to well-formatted,
standard CSS using the command line tool or a web-framework
plugin.
 Great for emphasis,
home pages, sliders, and general just-add-water-awesomeness.
Canvas Advanced Animation Toolkit
is an scene graph director-based animation framework for javascript
based in the concept of a timeline.
tween.js: Super
simple, fast and easy to use tweening engine which incorporates
optimised Robert Penner’s equations.
Janis is a
lightweight Javascript framework that provides simple animations via
CSS transitions for modern browsers on the web as well as mobile
devices.
Rekapi: A keyframe animation
library for JavaScript
CanvasScript3 is
a Javascript library for the new HTML5 Canvas with an interface
similar to ActionScript3. This library enables Sprite Groups,
Layers, Mouse Events, Keyboard Events, Bitmap Effects, Tween
Animations etc.
Shifty is a
tweening engine built in JavaScript. It is designed to fit any
number of tweening needs.
emile.js is a
no-frills stand-alone CSS animation JavaScript framework.
Firmin: a
JavaScript animation library using CSS transforms and transitions.
$fx(): A compact, lightweight
Javascript Library for animation.
jsAnim is a powerful, yet easy to
use library for adding impressive animations to websites, without
sacrificing standards or accessibility. Weighing in at just under 25
kilobytes, jsAnim packs a lot of punch for such a little
application.
scripty2 is an open source
JavaScript framework for advanced HTML-based user interfaces. Or
simply put, scripty2 helps you build a more delicious web.
Processing.js: is the sister
project of the popular Processing visual programming language,
designed for the web. Processing.js makes your data visualizations,
digital art, interactive animations, educational graphs, video
games, etc. work using web standards and without any plug-ins.
jQuery Transit:
Super-smooth CSS3 transformations and transitions for jQuery.

 Great for emphasis, home pages, sliders, and general
just-add-water-awesomeness.
Paper.js is an open source vector
graphics scripting framework that runs on top of the HTML5 Canvas.
Timeline.js: A
Storytelling Timeline built in JavaScript.
xCharts is a JS
library for creating attractive, custom data-driven chart
visualizations. It uses HTML, CSS, and SVG to create dynamic, fluid
charts that can be easily customized and integrated.
parcel is easy
package management using a file server and path conventions, with
built in support for Amazon S3. It is designed to encode package
metadata, including name, version and OS within a path. The
conventions allow this metadata to be queried, without the need for
a database.
dexy is a free-form literate
documentation tool for writing any kind of technical document
incorporating code.
docco is a
quick-and-dirty, hundred-line-long, literate-programming-style
documentation generator.
Ronn builds manuals.
It converts simple, human readable textfiles to roff for terminal
display, and also to HTML for the web.
dox is a JavaScript
documentation generator written with node. Dox no longer generates
an opinionated structure or style for your docs, it simply gives you
a JSON representation, allowing you to use markdown and JSDoc-style
tags.
YUIDoc is a Node.js
application that generates API documentation from comments in
source, using a syntax similar to tools like Javadoc and Doxygen.
coddoc is a
jsdoc parsing library. Coddoc is different in that it is easily
extensible by allowing users to add tag and code parsers through the
use of coddoc.addTagHandler and coddoc.addCodeHandler. coddoc also
parses source code to be used in APIs.
Aware.js is a
simple jQuery plugin that allows a site to customize and personalize
the display of content based on a reader’s behavior without
requiring login, authentication, or any server-side processing.


About
“Reading for Gender Bias” is a web-based text analysis tool that scans and reveals language bias associated with evaluations and letters of recommendation written for trainees and applicants. It provides a summary of feedback to authors on how they can remove bias from their letters. A friend described it as “auto-correct for gender bias.” The goal is to start with a gender bias tool and then expand to other types of bias.
Check out the research that inspired this project here.
If you'd like to learn more, check out our GitHub repo.
How to use itPaste the text from your evaluation or letter of recommendation in the box below. |
SummaryConsider adding or changing . . .
|


|
CocosDenshion iOS
2.0
CocosDenshion API Reference (iOS version) for www.kobold2d.com developers
|
Public Member Functions | |
| (id) | - init |
| (ALuint) | - playSound:sourceGroupId:pitch:pan:gain:loop: |
| (CDSoundSource *) | - soundSourceForSound:sourceGroupId: |
| (void) | - stopSound: |
| (void) | - stopSourceGroup: |
| (void) | - stopAllSounds |
| (void) | - defineSourceGroups: |
| (void) | - defineSourceGroups:total: |
| (void) | - setSourceGroupNonInterruptible:isNonInterruptible: |
| (void) | - setSourceGroupEnabled:enabled: |
| (BOOL) | - sourceGroupEnabled: |
| (BOOL) | - loadBufferFromData:soundData:format:size:freq: |
| (BOOL) | - loadBuffer:filePath: |
| (void) | - loadBuffersAsynchronously: |
| (BOOL) | - unloadBuffer: |
| (ALCcontext *) | - openALContext |
| (float) | - bufferDurationInSeconds: |
| (ALsizei) | - bufferSizeInBytes: |
| (ALsizei) | - bufferFrequencyInHertz: |
| (void) | - _soundSourcePreRelease: |
Static Public Member Functions | |
| (void) | + setMixerSampleRate: |
Protected Attributes | |
| bufferInfo * | _buffers |
| sourceInfo * | _sources |
| sourceGroup * | _sourceGroups |
| ALCcontext * | context |
| NSUInteger | _sourceGroupTotal |
| UInt32 | _audioSessionCategory |
| BOOL | _handleAudioSession |
| ALfloat | _preMuteGain |
| NSObject * | _mutexBufferLoad |
| BOOL | mute_ |
| BOOL | enabled_ |
| ALenum | lastErrorCode_ |
| BOOL | functioning_ |
| float | asynchLoadProgress_ |
| BOOL | getGainWorks_ |
| int | sourceTotal_ |
| int | bufferTotal |
Properties | |
| ALfloat | masterGain |
| ALenum | lastErrorCode |
| BOOL | functioning |
| float | asynchLoadProgress |
| BOOL | getGainWorks |
| int | sourceTotal |
| NSUInteger | sourceGroupTotal |
| - (void) _soundSourcePreRelease: | (CDSoundSource *) | soundSource |
Used internally, never call unless you know what you are doing
| - (float) bufferDurationInSeconds: | (int) | soundId |
Returns the duration of the buffer in seconds or a negative value if the buffer id is invalid
| - (ALsizei) bufferFrequencyInHertz: | (int) | soundId |
Returns the sampling frequency of the buffer in hertz or a negative value if the buffer id is invalid
| - (ALsizei) bufferSizeInBytes: | (int) | soundId |
Returns the size of the buffer in bytes or a negative value if the buffer id is invalid
| - (id) init |
Initializes the engine with a group definition and a total number of groups
| - (ALuint) playSound: | (int) | soundId | |
| sourceGroupId: | (int) | sourceGroupId | |
| pitch: | (float) | pitch | |
| pan: | (float) | pan | |
| gain: | (float) | gain | |
| loop: | (BOOL) | loop | |
Plays a sound in a channel group with a pitch, pan and gain. The sound could played looped or not
| + (void) setMixerSampleRate: | (Float32) | sampleRate |
Sets the sample rate for the audio mixer. For best performance this should match the sample rate of your audio content
| - (CDSoundSource *) soundSourceForSound: | (int) | soundId | |
| sourceGroupId: | (int) | sourceGroupId | |
Creates and returns a sound source object for the specified sound within the specified source group.
| - (void) stopAllSounds |
Stops all playing sounds
| - (void) stopSound: | (ALuint) | sourceId |
Stops playing a sound
| - (void) stopSourceGroup: | (int) | sourceGroupId |
Stops playing a source group
- (NSUInteger) sourceGroupTotal [read, assign] |
Total number of source groups that have been defined
- (int) sourceTotal [read, assign] |
Total number of sources available


Projects
Joseph Hyatt
I'm currently developing a Discussion Board Application for the Flatiron School. I have a blog where I discuss challenges I run into and how I was able to overcome those challenges. I'm constantly adding to my wiki where I share the resources I find useful on a variety of subjects.
My current and past projects include:
Discussion Board
Discussion Board is an open source website I'm creating for The Flatiron School. I'm using Ruby on Rails, JavaScript, jQuery, and Bulma to create this project.
- Using a has_many :through relationship to create a join table that allows a user to find a discussion and discussion to find a user. A has_many :through relationship makes everything available, such as categories, or in this case discussions.
- Gravatar_image_tag - Shows a users gravatar image if they're signed in.
- Rolify and Cancancan - Helps with an admins user role by hooking into devise to make the admin user role.
- Friendly_id - Helps create slugs (a slug is a name given to a URL of a page) for our URL's, and is responsible for making the URL an actual slug rather than numbers. Makes it easier to remember and when you share it with someone.
- Bulma - A simple, elegant, and modern CSS framework that has a different feel to it than Bootstrap.
Dev Hire
Dev Hire is a website I created for my portfolio site as a way for a client to setup an appointment with me to collaborate over some code, or to hire me for some freelance work. I'm using Ruby on Rails, JavaScript, and Tailwind CSS to create this project.
- Stripe - To make or receive payments over the internet.
- Foreman - Allows a user to use multiple procfiles in a Ruby on Rails application. Foreman will startup Redis, Sidekiq, and the Rails Server for you.
- Tailwind CSS - A CSS framework which is different from frameworks such as Bootstrap which give the site a different feel.
- Webpacker - Helps manage app like JavaScript modules in Ruby on Rails.
Tasky
I love to make things that may help others.
Tasky is a project managing tool that organizes your projects into boards to keep you on track. Tasky was built with Ruby on Rails, JavaScript, jQuery, and Bootstrap. Main features of Tasky include:
- Devise - Manages user authentication.
- Omniauth - Allowing users to login/signup using their Facebook account.
- Bootstrap - For developing responsive, mobile-first projects.
- Redcarpet - A fast, safe and extensible Markdown to (X)HTML parser.
- Particle.js - A lightweight JavaScript library for creating particles.
- Friendly_id - The "Swiss Army bulldozer" of slugging and permalink plugins for Active Record. It lets you create pretty URLs and work with human-friendly strings as if they were numeric id's.
- Font Awesome Icons - Popular icon set and toolkit.
- Custom Error Messages - Gives the ability to have custom validation error messages prefixed with the attribute name.
Travel Site
I built a travel site for a travel company, and this is the template.
- Using Node.js, Gulp, and npm to help with automating tasks.
- Mobile First - Users won't have to download any extra data they don't require to view the site.
- Lazysizes - Lazy loads images (including responsive images (picture/srcset)), iframes and scripts.
- B.E.M - Block Element Modifier that helps you to achieve reusable components and code sharing in the front-end.
Rails Portfolio
This is a past Portfolio of mine built using Ruby on Rails, JavaScript, jQuery, and Bootstrap. I added a video background, full syntax highlighting, and font awesome icons. Being my previous portfolio I have uploaded it to Heroku.
- License Up - Create a license quickly for a given name.
- Devise - Manages user authentication.
- Bootstrap - For developing responsive, mobile-first projects.
- Markdown Syntax - A plain text formatting syntax aimed at making writing for the internet easier.
BeerMe
A command line interface application that scrapes data from Beer Advocate’s Top 250 Beers List and prints out the top 10 beers to the console.
- Users may select a beer by inputting the number on the list to find out more details.
- Beer details include a beer origin, beer styles, alcohol percentage, best seasons to drink selected beer.
- Results present each beer in a list, along with the corresponding information about chosen beer.
Computer Science
I'm a college student working towards a Bachelor's in Computer Science. I'm currently working with C++, and upload my past assignments to github once it's complete and has received feedback from my professor. I also plan on writing a Blog about my progression, stay tuned.
iki Page
The internet is a big place with an endless amount of information to sift through. I created wiki.josephhyatt.com to keep resources that I found to be useful in a organized area that I can use to reference from time to time. It's an ongoing process that gets updated almost daily. Feel free contribute to it.
Other Things
More to come..


This is a package for selecting tuning parameters based on cross-validation (CV) in regularized estimators of large covariance matrices. Four regularized methods are implemented: banding, tapering, hard-thresholding and soft-thresholding. Two types of matrix norms are applied: Frobenius norm and operator norm. Two types of CV are considered: K-fold CV and random CV. Usually K-fold CV use K-1 folds to train a model and the rest one fold to validate the model. The reverse version trains a model with 1 fold and validates with the rest with K-1 folds. Random CV randomly splits the data set to two parts, a training set and a validation set with user-specified sizes.
| Version: | 1.0 |
| Suggests: | MASS |
| Published: | 2014-08-15 |
| Author: | Binhuan Wang |
| Maintainer: | Binhuan Wang <binhuan.wang at nyumc.org> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | CVTuningCov results |
| Reference manual: | CVTuningCov.pdf |
| Package source: | CVTuningCov_1.0.tar.gz |
| Windows binaries: | r-devel: CVTuningCov_1.0.zip, r-release: CVTuningCov_1.0.zip, r-oldrel: CVTuningCov_1.0.zip |
| OS X binaries: | r-release: CVTuningCov_1.0.tgz, r-oldrel: CVTuningCov_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=CVTuningCov to link to this page.


Tablet of Vision:
Countless thoughts beyond comprehension sear painfully into your brain. You hear the faint whisper of a woman's voice.
A vision appears of a small lizard, trapped in a box. The harder he struggles, the tighter his prison becomes. This is a closed totem.
Mudaha misrepresented himself to Varanka as Sharuhi Mouth, and received unspeakable powers that are forbidden to Warcryers!
Alas, the power of the totem eventually grew too strong for Mudaha, and now he struggles just to keep the power in check!
You can find him inside the maze at the Wall of Argos.
That Stone of Commune will be the end of him.


{% extends "index.html" %} {% block body %}
This Discovery Tooling provides a cognitive search framework which allows for quick-and-easy search through the corpus as a whole.
At the present, the model being used has not been custom tailored to the corpus, and only Volumes 4, 5, and 6 are contained; but it should give an idea as to what the capabilities are.


Applications
Search
Account
Change Password
Notifications
5
Import/Export
Delete Account
Map Selection
Map Layers
Help
Sales
Customers
Products
Shopping Cart


Example website for "New colors for histology". Use the arrows to change the color scheme. Source image from ProteinAtlas (Ki-67 in Colorectal cancer). Script credit: OSD


MY FIRST TEXT!!!!!!!!!!!!!!!!!!!!
THAT'S A
LOT
OF DAMAGE!!!11111!
to show off the power of F L E X T A P E i sawed my BOAT IN HALF!
THE BEST GAME


Main Menu - Organization
Get Organized:
-College Planning:
Getting Started
-College Search
-Self-Assessment
Quiz for Parents
-Self-Assessment
Quiz for Students
-Federal Student
Aid App Process
-Student Financial Aid
Calendars:
-Planning List for 9th and 10th Grade
-College Planning
Calendar - Juniors
-College Planning
Calendar - Seniors
-Senior Year Financial Aid Calendar
Checklists:
-College Application Checklist
-College Application Checklist
(Alt)
-College Moving Checklist
-College Planning Checklist
Worksheets:
-College Comparison
-College Entrance
Requirements
-Tracking your
Financial Aid Apps
-Awards Evaluator
-Cost of Attendance and
Financial Need Calculator
-Comparing Financial Aid
Award Letters


# File lib/migration.rb, line 213 def quote_column_name(column_name) # TODO: Fix this for 1.9 - can't use this hack to access a private method @adapter.send(:quote_column_name, column_name.to_s) end


{%extends 'bas.html'%} {% load static %} {% load bootstrap3%} {% block content %}
We come together to make great things happen!
We work together to accomplish one goal!
Thats why we all call it the neighbourhood!


Input image:
Visible kaleidoscopic image parts:
Additional kaleidoscopic image symmetry:
Rotational rosette radial power:
Showing:
Projection:
Generating Elements:
Line width:
Rotational symmetry at center
dihedral symmetry at circle intersection:
Concentric reflecting circles:
Rotational symmetry at inner circle
Rotational symmetry at outer circle
Output image:
Output image size:


Main Concepts
About Templates - Property Binding - Considerations
Expressions are almost like js, but are not:
-
The context is the bean ( access to the bean properties,
not global js variables )
-
The new operator is prohibited
-
As well as increment / decrement operators
-
Bitwise operators ( | and & ) are not supported
-
Use Pipes in expressions with |


SmartAPI
SmartAPI
BUILDING A CONNECTED NETWORK OF FAIR APIS
BUILDING A CONNECTED NETWORK OF FAIR APIS
What is a SmartAPI?
What is a SmartAPI?
The SmartAPI project aims to maximize the FAIRness (Findability, Accessibility, Interoperability, and Reusability) of web-based Application Programming Interfaces (APIs). Rich metadata is essential to properly describe your API so that it becomes discoverable, connected, and reusable. We have developed a openAPI-based specification for defining the key API metadata elements and value sets. SmartAPI's leverage the Open API specification v3 and JSON-LD for providing semantically annotated JSON content that can be treated as Linked Data.
Registry
Search the registry of SmartAPIs
Editor
Author your own SmartAPI metadata
API
Learn about and access the SmartAPI services
Specification
SmartAPI metadata specification to start your API
Guide
Contribute to SmartAPI for the first time
Working Group
Join the API Interoperability working group
Why do we need SmartAPIs?
Why do we need SmartAPIs?
Data analysis is increasingly being performed using cloud-based, web-friendly application programming interfaces (APIs). Thousands of tools and APIs are available through web service registries such as Programmable Web, BioCatalogue and cloud platforms such as Galaxy. Searching these and other API repositories to find a set of tools to retrieve or operate on data of interest presents a number of formidable challenges: users must not only supply the right combination of search terms, but must also closely examine the API outputs to determine whether they can be connected together. SmartAPIs tackle this challenge because they contain the rich metadata needed to precisely describe the service and the data that it operates on or provides.
What does the SmartAPI offer?
What does the SmartAPI offer?
Richly annotated APIs will provide the assets by which users will be able to search, browse, query, and reuse APIs. Users and intelligent agents being able to traverse a highly connected network of smartAPIs. Users will be able to automatically find APIs whose outputs are the inputs for other services. Ultimately, we envision the automatic generation of workflows that take users to where they want to go with what they have today.


Activatable Object Node Commands
You can perform actions on the node that represents activatable
objects. Right-click the node to open the contextual menu. The menu
contains the following items:
- Activate Object.
Activates the object.
- Inactivate.
Deactivates the object.
- Register.
Registers the object into an RMI registry.
- Copy Setup Code.
Generates and places in the clipboard code that performs
the setup of the activatable object.
- Delete.
Removes the object from the tree and unregisters it from
the activation system.
- Customize.
Displays the customization dialog box that you use to edit the
properties of the activatable object.
- Properties.
Displays the current values for the properties of the selected
activatable object.
Legal Notices


docSkimmer
docSkimmer is a skimmable minimal theme for static documentation sites built using MkDocs.
Supports MkDocs versions >= 0.16.2.
Features
- accessible;
- lightweight - no fonts or libs included (except for a single ~2KB module) - so that you can add only what you prefer;
- responsive;
- skimmable;
- valid HTML5 + CSS3.
Installation
- Clone docSkimmer from GitHub:
git clone https://github.com/hfagerlund/mkdocs-docskimmer.git
Or download the required version - refer to: 'Version compatibility'.
- Copy the contents of the '/mkdocs_docskimmer' directory into your MkDocs project root (ie. at the same level as the project's '/docs' directory).
Usage
- Modify the following settings in the 'mkdocs.yml' file:
For docSkimmer v0.3.x, v0.4.x:
# mkdocs.yml:
nav:
## add your custom pages hierarchy here
theme:
name: null
custom_dir: 'mkdocs_docskimmer'
include_search_page: true
search_index_only: false
static_templates:
- 404.html
plugins: ['search']
# add theme version number here
extra:
version: 0.3.x
For docSkimmer v0.2.1:
# mkdocs.yml:
pages:
## add your custom pages hierarchy here
theme:
name: null
custom_dir: 'mkdocs_docskimmer'
include_search_page: true
search_index_only: false
static_templates:
- 404.html
plugins: ['search']
extra:
version: 0.2.1
For docSkimmer v0.2.0:
# mkdocs.yml:
pages:
## add your custom pages hierarchy here
theme:
name: null
custom_dir: 'mkdocs_docskimmer'
static_templates:
- 404.html
extra:
version: 0.2.0
For docSkimmer v0.1.x:
# mkdocs.yml:
pages:
## add your custom pages hierarchy here
theme_dir: 'mkdocs_docskimmer'
Version compatibility
| docSkimmer theme version(s) | MkDocs version(s) |
|---|---|
| 0.4.0 | 1.0.4 |
| 0.3.1 | 1.0.4 Template URL filter addition |
| 0.3.0 | Pages refactor |
| 0.2.1 | 0.17.4 0.17.3 0.17.2 0.17.1 0.17.0 |
| 0.2.0 | 0.17.0 |
| 0.1.1 0.1.0 |
0.16.3 0.16.2 |
Examples
Examples of how Markdown syntax is rendered and how 2nd-level navigation is displayed in the docSkimmer theme are available on this sample page.


Surfer
You clicked on the surfer.
Image
.
Home
Status
Learn
CGI Tests
Templates
Access Control
Reference Manual


{% load static %}
We understand the hard work that the recruiter puts in to get the best person for a role. We want to help the recruiters. We want to make their task a bit easy. Sit back and relax and let the app do your most of your work. Hire the best!
We solve your lot of problems, working on solving more, till then try our features and make hiring easy!
Use this area of the page to describe your project. The icon above is part of a free icon set by Flat Icons. On their website, you can download their free set with 16 icons, or you can purchase the entire set with 146 icons for only $12!
Use this area of the page to describe your project. The icon above is part of a free icon set by Flat Icons. On their website, you can download their free set with 16 icons, or you can purchase the entire set with 146 icons for only $12!
Use this area of the page to describe your project. The icon above is part of a free icon set by Flat Icons. On their website, you can download their free set with 16 icons, or you can purchase the entire set with 146 icons for only $12!
Use this area of the page to describe your project. The icon above is part of a free icon set by Flat Icons. On their website, you can download their free set with 16 icons, or you can purchase the entire set with 146 icons for only $12!
Use this area of the page to describe your project. The icon above is part of a free icon set by Flat Icons. On their website, you can download their free set with 16 icons, or you can purchase the entire set with 146 icons for only $12!
Use this area of the page to describe your project. The icon above is part of a free icon set by Flat Icons. On their website, you can download their free set with 16 icons, or you can purchase the entire set with 146 icons for only $12!


Day:
Month:
January
February
March
April
May
June
July
August
September
October
November
December
Year:
Day:
Month:
Nisan
Iyyar
Sivan
Tammuz
Av
Elul
Tishri
Cheshvan
Kislev
Tevet
Shevat
Adar I
Adar II
Year:


Below is imitated password validators for each website (e.g. Google, Microsoft, etc.) No more confusing from your password with yourself. You can guess from their password rules!


{% comment %} Rules Of Origin (RoO) Text Template for trade scenario TWUK_TA_GSP_indef: For GSP (Generalised Scheme of Preferences) “Least developed nations” with a UK trade agreement, or EPA (Economic Partnership Agreement) - ie with GSP access that continues indefinitely, in spite of the trade agreement. {% endcomment %}
The UK has a trade agreement with {{ country_name }}.
{{ country_name }} is also part of the UK’s Generalised Scheme of Preferences.
Goods must meet the rules of origin to benefit from preferential tariffs (where available).
{% if rules_of_origin %} {% block rules_of_origin %} {% include "hierarchy/_rules_of_origin_table_explainer.html" %} {% include "hierarchy/_rules_of_origin_table_data.html" %} {% endblock %} {% endif %}


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Using Pyke
This describes how to call Pyke from your Python program.
Getting Started
The simplest use of Pyke involves three steps:
Create an engine object.
>>> from pyke import knowledge_engine>>> my_engine = knowledge_engine.engine(__file__)This step compiles the Pyke source files, if out of date, and loads the knowledge bases.
There are three kinds of Pyke source files:
- .kfb files define fact bases, which are compiled into .fbc pickle files.
- .krb files define rule bases, which are compiled into 1 to 3 .py Python source files.
- .kqb files define question bases, which are compiled into .qbc pickle files.
See Creating an Inference Engine to control where the compiled files are written, load knowledge bases from multiple directories, distribute your application without your knowledge base files, or distribute using egg files.
Activate rule bases.
>>> my_engine.activate('bc_related')You may activate one rule base for each rule base category. Simply pass multiple arguments to activate.
Note
Even if you only have one rule base, you must still activate it.
This is when the forward-chaining rules are run.
>>> my_engine.prove_1_goal('bc_related.father_son(bruce, $son, ())') ({'son': 'david'}, None)The goal might be met by simply matching an already known fact, or through the use of backward-chaining rules.
Then if you want to prove another goal, you can just repeat the last step. In this case, the forward-chaining rules are only run once and all goals operate against the same set of known facts.
>>> my_engine.prove_1_goal('bc_related.father_son(thomas, $grandson, (grand))') ({'grandson': 'david'}, None)See Proving Goals to pass different arguments into goals, compile the goal statements once in advance, and to retrieve multiple answers for a goal.
Dynamically Asserting Facts
To dynamically assert facts within your Python program, a new step is added:
Create the engine object:
>>> my_engine = knowledge_engine.engine(__file__)
>>> my_engine.assert_('family2', 'son_of', ('spike_the_dog', 'david'))
These facts must be asserted prior to activating the rule bases so that they are available to the forward-chaining rules. This example shows asserting case specific facts that are deleted before running the next case (as shown in the next section, below). But you can also assert universal facts that apply to all cases. See Asserting New Facts for more information.
After asserting your facts, activate your rule bases and prove your goal as before:
>>> my_engine.activate('bc_related') >>> my_engine.prove_1_goal('bc_related.father_son(bruce, $grandson, (grand))') ({'grandson': 'spike_the_dog'}, None)
Using Different Facts for Different Cases
But if you want to prove goals against different sets of facts or using different rule bases, you need to reset the Pyke engine:
Only need this once:
>>> my_engine = knowledge_engine.engine(__file__)First case, as before:
>>> my_engine.assert_('family2', 'son_of', ('spike_the_dog', 'david')) >>> my_engine.activate('bc_related') >>> my_engine.prove_1_goal('bc_related.father_son(bruce, $grandson, (grand))') ({'grandson': 'spike_the_dog'}, None)
Reset the Pyke engine.
>>> my_engine.reset()
This erases all of the case specific facts that you asserted in step 2, as well as all of the facts asserted by the forward-chaining rules.
It also deactivates all of the rule bases, so you'll need to call activate again after asserting your facts.
Second case:
>>> my_engine.assert_('family2', 'son_of', ('felix_the_cat', 'david')) >>> my_engine.activate('bc_related') >>> my_engine.prove_1_goal('bc_related.father_son(bruce, $grandson, (grand))') ({'grandson': 'felix_the_cat'}, None)


Text file without any confidential data
Text file with 10 SSNs
Unknown malware
Known malware
Encrypted file


This application will help you configure alerts to your mobile phone, a preferred emergency contact and up to 5 additional contacts.
If you have a Nightscout dashboard and your API is enabled for external queries, you can use this application. When your glucose levels are out of range, you will receive an alert call on your mobile as well as your preferred contacts.
If you do not answer the call then a sms is sent to your emergency contact(s).
If you are an emergency contact, you can see the information with your personal code.


interface Handler
Handler object that will allow you to stop the ProximityTrigger after starting it.
stop
abstract fun stop(): Unit
Stops the previously started trigger


@@include('./includes/header.html', {
"title": "Why use Web Authentication - Let's Webauth",
"description": "Answering the question 'Why use Web Authentication?' on Let's Webauth - the WebAuthn tutorial site."
})
Why use Web Authentication?
Open standards
- Web Authentication is an open, standards-based technology - meaning it is not owned or controlled by any one company. It is instead implemented by many different parties, based on the core open specification. This includes implementation by companies and organisations such as Apple (iOS and Safari), Google (Android and Chrome) and Mozilla (Firefox).
Security
- The user's device acts as an authenticator that generates a public key from a range of supported encryption algorithms. This is much more secure than a traditional password. Additionally, unlike a password, the private key never leaves the user's device, meaning the website does not store the credential required to authenticate an account. This means if a database was exposed, attackers would not be able to use the credentials in the database to gain unauthorised access. This means the technology is phishing-resistant.
Speed & simplicity
- Users can authenticate in a fraction of the time compared with current password login.
- Users are saved the hassle of constantly having to remember and type complex passwords.
Widely supported
- Web Authentication has been tested and confirmed working in consumer devices including biometrics in Android devices, Touch ID and Face ID on iOS. This means the vast majority of your users now have access to this technology.
- Mobile use is growing every day meaning the use of this will grow over time.
@@include('./includes/footer.html')


|
WUT Velma robot API
|
Public Member Functions | |
| def | __init__ (self, plugin=None) |
| def | clicked_initialize_robot (self) |
| def | clicked_enable_motors (self) |
| def | clicked_switch_to_jnt_imp (self) |
| def | clicked_switch_to_cart_imp (self) |
| def | clicked_switch_to_relax (self) |
| def | clicked_move_to_initial_configuration (self) |
| def | clicked_move_head_to_0 (self) |
| def | clicked_clear_messages (self) |
| def | gripper_cmd (self, side, cmd) |
| def | start (self) |
| def | layout_widgets (self, layout) |
| def | refresh_topics (self) |
| def | shutdown_plugin (self) |
| def | save_settings (self, plugin_settings, instance_settings) |
| def | restore_settings (self, pluggin_settings, instance_settings) |
main class inherits from the ui window class. You can specify the topics that the topic pane. VelmaControlPanelWidget.start must be called in order to update topic pane.
Definition at line 467 of file velma_control_panel_widget.py.
| def rqt_velma.velma_control_panel_widget.VelmaControlPanelWidget.__init__ | ( | self, | |
plugin = None |
|||
| ) |
Definition at line 478 of file velma_control_panel_widget.py.
| def rqt_velma.velma_control_panel_widget.VelmaControlPanelWidget.clicked_clear_messages | ( | self | ) |
Definition at line 549 of file velma_control_panel_widget.py.
| def rqt_velma.velma_control_panel_widget.VelmaControlPanelWidget.clicked_enable_motors | ( | self | ) |
Definition at line 525 of file velma_control_panel_widget.py.
| def rqt_velma.velma_control_panel_widget.VelmaControlPanelWidget.clicked_initialize_robot | ( | self | ) |
Definition at line 521 of file velma_control_panel_widget.py.
| def rqt_velma.velma_control_panel_widget.VelmaControlPanelWidget.clicked_move_head_to_0 | ( | self | ) |
Definition at line 545 of file velma_control_panel_widget.py.
| def rqt_velma.velma_control_panel_widget.VelmaControlPanelWidget.clicked_move_to_initial_configuration | ( | self | ) |
Definition at line 541 of file velma_control_panel_widget.py.
| def rqt_velma.velma_control_panel_widget.VelmaControlPanelWidget.clicked_switch_to_cart_imp | ( | self | ) |
Definition at line 533 of file velma_control_panel_widget.py.
| def rqt_velma.velma_control_panel_widget.VelmaControlPanelWidget.clicked_switch_to_jnt_imp | ( | self | ) |
Definition at line 529 of file velma_control_panel_widget.py.
| def rqt_velma.velma_control_panel_widget.VelmaControlPanelWidget.clicked_switch_to_relax | ( | self | ) |
Definition at line 537 of file velma_control_panel_widget.py.
| def rqt_velma.velma_control_panel_widget.VelmaControlPanelWidget.gripper_cmd | ( | self, | |
| side, | |||
| cmd | |||
| ) |
Definition at line 554 of file velma_control_panel_widget.py.
| def rqt_velma.velma_control_panel_widget.VelmaControlPanelWidget.layout_widgets | ( | self, | |
| layout | |||
| ) |
Definition at line 564 of file velma_control_panel_widget.py.
| def rqt_velma.velma_control_panel_widget.VelmaControlPanelWidget.refresh_topics | ( | self | ) |
Definition at line 568 of file velma_control_panel_widget.py.
| def rqt_velma.velma_control_panel_widget.VelmaControlPanelWidget.restore_settings | ( | self, | |
| pluggin_settings, | |||
| instance_settings | |||
| ) |
Definition at line 685 of file velma_control_panel_widget.py.
| def rqt_velma.velma_control_panel_widget.VelmaControlPanelWidget.save_settings | ( | self, | |
| plugin_settings, | |||
| instance_settings | |||
| ) |
Definition at line 681 of file velma_control_panel_widget.py.
| def rqt_velma.velma_control_panel_widget.VelmaControlPanelWidget.shutdown_plugin | ( | self | ) |
Definition at line 673 of file velma_control_panel_widget.py.
| def rqt_velma.velma_control_panel_widget.VelmaControlPanelWidget.start | ( | self | ) |
This method needs to be called to start updating topic pane.
Definition at line 558 of file velma_control_panel_widget.py.


Database configuration¶
All the pymatgen-db database configuration files use JSON syntax. They give the server host and port, as well as authentication parameters for the database. If no authentication is given, then it is assumed that the “noath” mode of MongoDB is to be used.
Here is an example configuration:
{
host: "localhost",
port: 27017,
database: "vasp",
readonly_user: "bigbird",
readonly_password: "mr_snuffleupagus"
collection: "tasks"
}
The following keywords are recognized:
- host
- Host name or IP of the database server. Required.
- port
- Port number for database server. Default is 27017.
- database
- Database name
- readonly_user
- Authentication user name, for read-only access.
- readonly_password
- Authentication password, for read-only access.
- admin_user
- Authentication user name, for read/write access.
- admin_password
- Authentication password, for read/write access.


{% extends 'core/base-error-page.html' %} {% block error_title %}400 Bad Request{% endblock %} {% block error_message %}
The server couldn't understand the request due to invalid syntax.
Find me on GitHub & contact if you think it's a mistake or a bug.
{% endblock %}


main.habitivity.habitinteractiontests
Classes
AddHabitEventTests
AddHabitTests
DeleteHabitTests
RemoveHabitEventTests
UpdateHabitEventTests
UpdateHabitTests


Period
to
Turbine
Refresh
Scada Data OEM
Downtime Event
Custom 10 Minutes Data
Data Available from:
-
until:
-
Total Turbine
0
Total Data
0
Total Active Power
0
Total Production
0
Average Wind Speed
0
Data Available from:
-
until:
-
Total Turbine
0
Total Data
0
Data Available from:
-
until:
-
Total Turbine
0
Total Data
0
Total Active Power
0
Total Production
0
Average Wind Speed
0
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[133]
T. Fabelo, M. D. Thompson, M. Plotkin, D. Carmichael, M. P. Marchbanks III, E. A. Booth, Breaking Schools’ Rules: A Statewide Study of How School Discipline Relates to Students’ Success and Juvenile Justice Involvement (2011),
https://ppri.tamu.edu/files/Breaking_Schools_Rules.pdf
.