class: center, middle, inverse, title-slide # ETC1010: Data Modelling and Computing ## Lecture 7A: Linear Models ### Dr. Nicholas Tierney & Professor Di Cook ### EBS, Monash U. ### 2019-09-11 --- class: bg-main1 # Recap .huge[ - style - functions - map ] --- class: bg-main1 # Today: The language of models --- class: bg-main1 # Modelling .huge[ - Use models to explain the relationship between variables and to make predictions - For now we focus on **linear** models (but remember there are other types of models too!) ] --- class: center, middle # Packages .left-code[ ![](img/tidyverse.png) ![](img/broom.png) ] .right-plot.vlarge[ - You're familiar with the tidyverse: - The broom package takes the messy output of built-in functions in R, such as `lm`, and turns them into tidy data frames. ] --- class: bg-black .white.vvhuge.center.middle[ Data: Paris Paintings ] --- class: bg-main1 # Paris Paintings ```r pp <- read_csv("data/paris-paintings.csv", na = c("n/a", "", "NA")) pp ``` ``` ## # A tibble: 3,393 x 61 ## name sale lot position dealer year origin_author origin_cat school_pntg ## <chr> <chr> <chr> <dbl> <chr> <dbl> <chr> <chr> <chr> ## 1 L176… L1764 2 0.0328 L 1764 F O F ## 2 L176… L1764 3 0.0492 L 1764 I O I ## 3 L176… L1764 4 0.0656 L 1764 X O D/FL ## 4 L176… L1764 5 0.0820 L 1764 F O F ## 5 L176… L1764 5 0.0820 L 1764 F O F ## 6 L176… L1764 6 0.0984 L 1764 X O I ## 7 L176… L1764 7 0.115 L 1764 F O F ## 8 L176… L1764 7 0.115 L 1764 F O F ## 9 L176… L1764 8 0.131 L 1764 X O I ## 10 L176… L1764 9 0.148 L 1764 D/FL O D/FL ## # … with 3,383 more rows, and 52 more variables: diff_origin <dbl>, logprice <dbl>, ## # price <dbl>, count <dbl>, subject <chr>, authorstandard <chr>, artistliving <dbl>, ## # authorstyle <chr>, author <chr>, winningbidder <chr>, winningbiddertype <chr>, ## # endbuyer <chr>, Interm <dbl>, type_intermed <chr>, Height_in <dbl>, Width_in <dbl>, ## # Surface_Rect <dbl>, Diam_in <dbl>, Surface_Rnd <dbl>, Shape <chr>, Surface <dbl>, ## # material <chr>, mat <chr>, materialCat <chr>, quantity <dbl>, nfigures <dbl>, ## # engraved <dbl>, original <dbl>, prevcoll <dbl>, othartist <dbl>, paired <dbl>, ## # figures <dbl>, finished <dbl>, lrgfont <dbl>, relig <dbl>, landsALL <dbl>, ## # lands_sc <dbl>, lands_elem <dbl>, lands_figs <dbl>, lands_ment <dbl>, arch <dbl>, ## # mytho <dbl>, peasant <dbl>, othgenre <dbl>, singlefig <dbl>, portrait <dbl>, ## # still_life <dbl>, discauth <dbl>, history <dbl>, allegory <dbl>, pastorale <dbl>, ## # other <dbl> ``` --- # Meet the data curators .left-code[ ![](img/sandra-van-ginhoven.png) ![](img/hilary-coe-cronheim.png) ] .right-plot.vlarge[ Sandra van Ginhoven Hilary Coe Cronheim PhD students in the Duke Art, Law, and Markets Initiative in 2013 - Source: Printed catalogues of 28 auction sales in Paris, 1764- 1780 - 3,393 paintings, their prices, and descriptive details from sales catalogues over 60 variables ] --- # Auctions today  --- # Auctions back in the day  Pierre-Antoine de Machy, Public Sale at the Hôtel Bullion, Musée Carnavalet, Paris (18th century) --- # Paris auction market  --- class: bg-main1 # Modelling the relationship between variables --- class: bg-main1 # Prices: Describe the distribution of prices of paintings. ```r ggplot(data = pp, aes(x = price)) + geom_histogram(binwidth = 1000) ```  --- # Models as functions .huge[ - We can represent relationships between variables using **functions** - A function is a mathematical concept: the relationship between an output and one or more inputs. - Plug in the inputs and receive back the output ] --- class: bg-main1 # Models as functions: Example .huge[ - The formula `\(y = 3x + 7\)` is a function with input `\(x\)` and output `\(y\)`, when `\(x\)` is `\(5\)`, the output `\(y\)` is `\(22\)` `y = 3 * 5 + 7 = 22` ] -- ```r anon <- function(x) 3*x + 7 anon(5) ``` ``` ## [1] 22 ``` --- class: bg-main1 # Height as a function of width .huge[ Describe the relationship between height and width of paintings. ]  --- class: bg-main1 # Visualizing the linear model ```r ggplot(data = pp, aes(x = Width_in, y = Height_in)) + geom_point() + geom_smooth(method = "lm") # lm for linear model ```  --- class: bg-main1 # Visualizing the linear model (without the measure of uncertainty around the line) ```r ggplot(data = pp, aes(x = Width_in, y = Height_in)) + geom_point() + geom_smooth(method = "lm", se = FALSE) # lm for linear model ```  --- # Visualizing the linear model (style the line) ```r ggplot(data = pp, aes(x = Width_in, y = Height_in)) + geom_point() + geom_smooth(method = "lm", se = FALSE, col = "pink", # color lty = 2, # line type lwd = 3) # line weight ```  --- class: bg-main1 # Vocabulary .huge[ - **Response variable:** Variable whose behavior or variation you are trying to understand, on the y-axis (dependent variable) ] -- .huge[ - **Explanatory variables:** Other variables that you want to use to explain the variation in the response, on the x-axis (independent variables) ] --- class: bg-main1 # Vocabulary .huge[ - **Predicted value:** Output of the function **model function** - The model function gives the typical value of the response variable *conditioning* on the explanatory variables ] -- .huge[ - **Residuals:** Show how far each case is from its model value - Residual = Observed value - Predicted value - Tells how far above/below the model function each case is ] --- # Residuals .huge[ - What does a negative residual mean? - Which paintings on the plot have have negative residuals, those below or above the line? ]  ---  -- .vlarge[ - What feature is apparent in this plot that was not (as) apparent in the previous plots? - What might be the reason for this feature? ] ??? The plot below displays the relationship between height and width of paintings. It uses a lower alpha level for the points than the previous plots we looked at. --- # Landscape vs portait paintings .pull-left.vlarge[ - Landscape painting is the depiction in art of landscapes – natural scenery such as mountains, valleys, trees, rivers, and forests, especially where the main subject is a wide view – with its elements arranged into a coherent composition.1 - Landscape paintings tend to be wider than longer. ] .pull-right.vlarge[ - Portrait painting is a genre in painting, where the intent is to depict a human subject.2 - Portrait paintings tend to be longer than wider. .footnote[ [1] Source: Wikipedia, [Landscape painting](https://en.wikipedia.org/wiki/Landscape_painting) [2] Source: Wikipedia, [Portait painting](https://en.wikipedia.org/wiki/Portrait_painting) ] ] --- # Multiple explanatory variables .vlarge[ How, if at all, the relatonship between width and height of paintings vary by whether or not they have any landscape elements? ] ```r ggplot(data = pp, aes(x = Width_in, y = Height_in, color = factor(landsALL))) + geom_point(alpha = 0.4) + geom_smooth(method = "lm", se = FALSE) + labs(color = "landscape") ```  --- # Models - upsides and downsides .huge[ - Models can sometimes reveal patterns that are not evident in a graph of the data. This is a great advantage of modelling over simple visual inspection of data. - There is a real risk, however, that a model is imposing structure that is not really there on the scatter of data, just as people imagine animal shapes in the stars. A skeptical approach is always warranted. ] --- # Variation around the model... .vlarge[ is just as important as the model, if not more! *Statistics is the explanation of variation in the context of what remains unexplained.* - Scatterplot suggests there might be other factors that account for large parts of painting-to-painting variability, or perhaps just that randomness plays a big role. - Adding more explanatory variables to a model can sometimes usefully reduce the size of the scatter around the model. (We'll talk more about this later.) ] --- # How do we use models? .huge[ 1. Explanation: Characterize the relationship between `\(y\)` and `\(x\)` via *slopes* for numerical explanatory variables or *differences* for categorical explanatory variables. (also called __inference__, as you __make inference__ on these relationships) 2. Prediction: Plug in `\(x\)`, get the predicted `\(y\)` ] --- class: bg-main1 # Your Turn: go to rstudio.cloud and start exercise 7a --- class: bg-main1 # Characterizing relationships with models --- class: bg-main1 ## Height & width ```r m_ht_wt <- lm(Height_in ~ Width_in, data = pp) m_ht_wt ``` ``` ## ## Call: ## lm(formula = Height_in ~ Width_in, data = pp) ## ## Coefficients: ## (Intercept) Width_in ## 3.6214 0.7808 ``` --
 --- class: bg-main1 # Model of height and width .huge[ `$$\widehat{Height_{in}} = 3.62 + 0.78~Width_{in}$$` ] -- .huge[ - **Slope:** For each additional inch the painting is wider, the height is expected to be higher, on average, by 0.78 inches. ] -- .huge[ - **Intercept:** Paintings that are 0 inches wide are expected to be 3.62 inches high, on average. ] --- class: bg-main1 # The linear model with a single predictor .vlarge[ - Interested in `\(\beta_0\)` (population parameter for the intercept) and the `\(\beta_1\)` (population parameter for the slope) in the following model: $$ \hat{y} = \beta_0 + \beta_1~x $$ ] --- class: bg-main1 # Least squares regression .huge[ The regression line minimizes the sum of squared residuals. ] -- .huge[ If `\(e_i = y - \hat{y}\)`, then, the regression line minimizes `\(\sum_{i = 1}^n e_i^2\)`. ] --- # Visualizing residuals  --- ## Visualizing residuals (cont.)  --- ## Visualizing residuals (cont.)  --- # Properties of the least squares regression line .huge[ - The regression line goes through the center of mass point, the coordinates corresponding to average `\(x\)` and average `\(y\)`: `\((\bar{x}, \bar{y})\)`: `$$\hat{y} = \beta_0 + \beta_1 x ~ \rightarrow ~ \beta_0 = \hat{y} - \beta_1 x$$` - The slope has the same sign as the correlation coefficient: `$$\beta_1 = r \frac{s_y}{s_x}$$` ] --- class: bg-main1 # Properties of the least squares regression line .huge[ - The sum of the residuals is zero: `$$\sum_{i = 1}^n e_i = 0$$` - The residuals and `\(x\)` values are uncorrelated. ] --- class: bg-main1 # Height & landscape features ```r m_ht_lands <- lm(Height_in ~ factor(landsALL), data = pp) m_ht_lands ``` ``` ## ## Call: ## lm(formula = Height_in ~ factor(landsALL), data = pp) ## ## Coefficients: ## (Intercept) factor(landsALL)1 ## 22.680 -5.645 ``` --
 .huge[ `$$\widehat{Height_{in}} = 22.68 - 5.65~landsALL$$` ] --- class: bg-main1 # Height & landscape features (cont.) .huge[ - **Slope:** Paintings with landscape features are expected, on average, to be 5.65 inches shorter than paintings that without landscape features. - Compares baseline level (`landsALL = 0`) to other level (`landsALL = 1`). - **Intercept:** Paintings that don't have landscape features are expected, on average, to be 22.68 inches tall. ] --- class: bg-main1 # Categorical predictor with 2 levels ``` ## # A tibble: 8 x 3 ## name price landsALL ## <chr> <dbl> <dbl> ## 1 L1764-2 360 0 ## 2 L1764-3 6 0 ## 3 L1764-4 12 1 ## 4 L1764-5a 6 1 ## 5 L1764-5b 6 1 ## 6 L1764-6 9 0 ## 7 L1764-7a 12 0 ## 8 L1764-7b 12 0 ``` --- class: bg-main1 # Relationship between height and school ```r (m_ht_sch <- lm(Height_in ~ school_pntg, data = pp)) ``` ``` ## ## Call: ## lm(formula = Height_in ~ school_pntg, data = pp) ## ## Coefficients: ## (Intercept) school_pntgD/FL school_pntgF school_pntgG school_pntgI ## 14.000 2.329 10.197 1.650 10.287 ## school_pntgS school_pntgX ## 30.429 2.869 ``` -- .vlarge[ - When the categorical explanatory variable has many levels, they're encoded to **dummy variables**. - Each coefficient describes the expected difference between heights in that particular school compared to the baseline level. ] --- class: bg-main1 # Categorical predictor with >2 levels ``` ## # A tibble: 7 x 7 ## # Groups: school_pntg [7] ## school_pntg D_FL F G I S X ## <chr> <int> <int> <int> <int> <int> <int> ## 1 A 0 0 0 0 0 0 ## 2 D/FL 1 0 0 0 0 0 ## 3 F 0 1 0 0 0 0 ## 4 G 0 0 1 0 0 0 ## 5 I 0 0 0 1 0 0 ## 6 S 0 0 0 0 1 0 ## 7 X 0 0 0 0 0 1 ``` --- class: bg-main1 # The linear model with multiple predictors .huge[ - Population model: $$ \hat{y} = \beta_0 + \beta_1~x_1 + \beta_2~x_2 + \cdots + \beta_k~x_k $$ ] -- .huge[ - Sample model that we use to estimate the population model: $$ \hat{y} = b_0 + b_1~x_1 + b_2~x_2 + \cdots + b_k~x_k $$ ] --- class: bg-main1 # Correlation does not imply causation! .vhuge[ - Remember this when interpreting model coefficients ] --- class: bg-main1 # Prediction with models --- class: bg-main1 # Predict height from width .vlarge[ On average, how tall are paintings that are 60 inches wide? `$$\widehat{Height_{in}} = 3.62 + 0.78~Width_{in}$$` ] -- ```r 3.62 + 0.78 * 60 ``` ``` ## [1] 50.42 ``` .vlarge[ "On average, we expect paintings that are 60 inches wide to be 50.42 inches high."  (We'll learn about measuring the variability around the prediction later.) ] --- class: bg-main1 # Prediction vs. extrapolation .huge[ On average, how tall are paintings that are 400 inches wide? `$$\widehat{Height_{in}} = 3.62 + 0.78~Width_{in}$$` ]  --- class: bg-black .white[ ## Watch out for extrapolation! ] .vlarge.white[ > "When those blizzards hit the East Coast this winter, it proved to my satisfaction that global warming was a fraud. That snow was freezing cold. But in an alarming trend, temperatures this spring have risen. Consider this: On February 6th it was 10 degrees. Today it hit almost 80. At this rate, by August it will be 220 degrees. So clearly folks the climate debate rages on."1
 Stephen Colbert, April 6th, 2010 ] .footnote.white[ [1] OpenIntro Statistics. "Extrapolation is treacherous." OpenIntro Statistics. ] --- class: center, middle # Measuring model fit --- class: bg-main1 # Measuring the strength of the fit .huge[ - `\(R^2\)` is a common measurement of strength of linear model fit. - `\(R^2\)` tells us % variability in response explained by model. - Remaining variation is explained by variables not in the model. - `\(R^2\)` is sometimes called the coefficient of determination. ] --- class: bg-main1 # Obtaining `\(R^2\)` in R .vlarge[ - Height vs. width ] ```r glance(m_ht_wt) ``` ``` ## # A tibble: 1 x 11 ## r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC deviance ## <dbl> <dbl> <dbl> <dbl> <dbl> <int> <dbl> <dbl> <dbl> <dbl> ## 1 0.683 0.683 8.30 6749. 0 2 -11083. 22173. 22191. 216055. ## # … with 1 more variable: df.residual <int> ``` ```r glance(m_ht_wt)$r.squared # extract R-squared ``` ``` ## [1] 0.6829468 ``` .vlarge[ Roughly 68% of the variability in heights of paintings can be explained by their widths. ] --- class: bg-main1 # Obtaining `\(R^2\)` in R .huge[ - Height vs. lanscape features ] ```r glance(m_ht_lands)$r.squared ``` ``` ## [1] 0.03456724 ``` --- class: bg-main1 # Your Turn: go to rstudio.cloud --- class: bg-main1 # References .huge[ - [data science in a box](https://datasciencebox.org/) ]


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|
| enum | DriveControlState |
| |
| class | DriveIO |
| |
◆ Drive()
| frc.robot.subsystems.Drive.Drive |
( |
| ) |
|
|
private |
◆ arcadeDrive()
| DriveSignal frc.robot.subsystems.Drive.arcadeDrive |
( |
double |
xSpeed, |
|
|
double |
zRotation |
|
) |
| |
|
private |
Arcade drive method for calculating drivetrain output.
defined as positive forward on both outputs and turning right yields positive left output and negative right output
- Parameters
-
| xSpeed | desired travel velocity |
| zRotation | desired rotational velocity |
- Returns
- a drivesignal for open loop use
◆ configPID()
| void frc.robot.subsystems.Drive.configPID |
( |
| ) |
|
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private |
◆ configTalons()
| void frc.robot.subsystems.Drive.configTalons |
( |
| ) |
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private |
◆ followPath()
| synchronized void frc.robot.subsystems.Drive.followPath |
( |
Path |
path, |
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|
boolean |
reversed |
|
) |
| |
internal methods beyond this point
◆ getAnglePID()
| PIDF frc.robot.subsystems.Drive.getAnglePID |
( |
| ) |
|
◆ getHeading()
| synchronized Rotation2d frc.robot.subsystems.Drive.getHeading |
( |
| ) |
|
◆ getInstance()
| static Drive frc.robot.subsystems.Drive.getInstance |
( |
| ) |
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static |
◆ getLeftEncoderDistance()
| double frc.robot.subsystems.Drive.getLeftEncoderDistance |
( |
| ) |
|
◆ getLeftEncoderRotations()
| double frc.robot.subsystems.Drive.getLeftEncoderRotations |
( |
| ) |
|
◆ getLeftLinearVelocity()
| double frc.robot.subsystems.Drive.getLeftLinearVelocity |
( |
| ) |
|
◆ getLeftVelocityNativeUnits()
| double frc.robot.subsystems.Drive.getLeftVelocityNativeUnits |
( |
| ) |
|
◆ getLogger()
| PeriodicIO frc.robot.subsystems.Drive.getLogger |
( |
| ) |
|
◆ getPIDOnTarget()
| boolean frc.robot.subsystems.Drive.getPIDOnTarget |
( |
| ) |
|
◆ getRightEncoderDistance()
| double frc.robot.subsystems.Drive.getRightEncoderDistance |
( |
| ) |
|
◆ getRightEncoderRotations()
| double frc.robot.subsystems.Drive.getRightEncoderRotations |
( |
| ) |
|
◆ getRightLinearVelocity()
| double frc.robot.subsystems.Drive.getRightLinearVelocity |
( |
| ) |
|
◆ getRightVelocityNativeUnits()
| double frc.robot.subsystems.Drive.getRightVelocityNativeUnits |
( |
| ) |
|
◆ inchesPerSecondToRadiansPerSecond()
| static double frc.robot.subsystems.Drive.inchesPerSecondToRadiansPerSecond |
( |
double |
in_sec | ) |
|
|
staticprivate |
◆ inchesPerSecondToRpm()
| static double frc.robot.subsystems.Drive.inchesPerSecondToRpm |
( |
double |
inches_per_second | ) |
|
|
staticprivate |
◆ inchesToRotations()
| static double frc.robot.subsystems.Drive.inchesToRotations |
( |
double |
inches | ) |
|
|
staticprivate |
◆ isDoneWithTrajectory()
| boolean frc.robot.subsystems.Drive.isDoneWithTrajectory |
( |
| ) |
|
◆ logData()
| LogData frc.robot.subsystems.Drive.logData |
( |
| ) |
|
◆ outputTelemetry()
| void frc.robot.subsystems.Drive.outputTelemetry |
( |
| ) |
|
◆ overrideTrajectory()
| void frc.robot.subsystems.Drive.overrideTrajectory |
( |
boolean |
value | ) |
|
◆ radiansPerSecondToTicksPer100ms()
| static double frc.robot.subsystems.Drive.radiansPerSecondToTicksPer100ms |
( |
double |
rad_s | ) |
|
|
staticprivate |
◆ readPeriodicInputs()
| synchronized void frc.robot.subsystems.Drive.readPeriodicInputs |
( |
| ) |
|
◆ registerEnabledLoops()
| void frc.robot.subsystems.Drive.registerEnabledLoops |
( |
ILooper |
enabledLooper | ) |
|
Required for the subsystem's looper to be registered to the state machine not required for subsystems that do not use looper
- Parameters
-
| enabledLooper | the subsystem's Looper |
Reimplemented from frc.robot.subsystems.Subsystem.
◆ reset()
| void frc.robot.subsystems.Drive.reset |
( |
| ) |
|
◆ resetEncoders()
| void frc.robot.subsystems.Drive.resetEncoders |
( |
| ) |
|
|
private |
◆ rotationsToInches()
| static double frc.robot.subsystems.Drive.rotationsToInches |
( |
double |
rotations | ) |
|
|
staticprivate |
◆ rpmToInchesPerSecond()
| static double frc.robot.subsystems.Drive.rpmToInchesPerSecond |
( |
double |
rpm | ) |
|
|
staticprivate |
◆ rpmToTicksPer100ms()
| static double frc.robot.subsystems.Drive.rpmToTicksPer100ms |
( |
double |
rpm | ) |
|
|
staticprivate |
◆ setAnglePidLoop()
| synchronized void frc.robot.subsystems.Drive.setAnglePidLoop |
( |
DriveSignal |
signal, |
|
|
double |
angle |
|
) |
| |
Configure for Angle PID control
◆ setHeading()
| synchronized void frc.robot.subsystems.Drive.setHeading |
( |
Rotation2d |
heading | ) |
|
◆ setInverse()
| void frc.robot.subsystems.Drive.setInverse |
( |
boolean |
isInverse | ) |
|
◆ setOpenLoop()
| synchronized void frc.robot.subsystems.Drive.setOpenLoop |
( |
DriveSignal |
signal | ) |
|
Configure talons for open loop control
- Parameters
-
| signal | input to drive train |
◆ setTrans()
| void frc.robot.subsystems.Drive.setTrans |
( |
DoubleSolenoid.Value |
state | ) |
|
◆ setVelocity()
Configures talons for velocity control
◆ updatePathFollower()
| void frc.robot.subsystems.Drive.updatePathFollower |
( |
| ) |
|
|
private |
◆ writePeriodicOutputs()
| synchronized void frc.robot.subsystems.Drive.writePeriodicOutputs |
( |
| ) |
|
◆ anglePID
| PIDF frc.robot.subsystems.Drive.anglePID |
|
private |
◆ driveFrontLeft
| TalonFX frc.robot.subsystems.Drive.driveFrontLeft |
|
private |
◆ m_DriveInstance
| Drive frc.robot.subsystems.Drive.m_DriveInstance = new Drive() |
|
staticprivate |
◆ mDriveControlState
| DriveControlState frc.robot.subsystems.Drive.mDriveControlState = DriveControlState.OPEN_LOOP |
|
private |
◆ mOverrideTrajectory
| boolean frc.robot.subsystems.Drive.mOverrideTrajectory = false |
|
private |
◆ pathFollowingController
◆ periodic
| DriveIO frc.robot.subsystems.Drive.periodic |
|
private |
◆ pigeonIMU
| PigeonIMU frc.robot.subsystems.Drive.pigeonIMU |
|
private |
◆ trans
| DoubleSolenoid frc.robot.subsystems.Drive.trans |
|
private |
The documentation for this class was generated from the following file:
- RobotCode/src/main/java/frc/robot/subsystems/Drive.java


Gragments are sentences that are incomplete and therefore cannot stand on their own. Every sentence must contain at least one independent clause, which by definition has a subject and a verb and expresses a complete thought. Students often associate fragments with being short, but this is not always the case. Some complete sentences can be extremely short while some fragments can be very long without ever expressing a complete thought. The SAT and ACT both like to test students on long fragments, since these fragments are more easily mistaken for complete sentences.
Incorrect: The blue house with yellow flowers in the front yard and a neatly trimmed lawn across the street from the baseball field.
Correct: The blue house with yellow flowers in the front yard and a neatly trimmed lawn sat across the street from the baseball fielf.
Correct: The blue house with yellow flowers in the front yeard and a neatly trimmed lawn across the street from the baseball field was built in 1908.
The incorrect version of this sentence does not contain a verb and therefore constitutes a fragment despite its length. Adding "sat" fixes the problem in the first correction. Adding "was built in 1908" fixes the problem in the second correction.
Incorrect: Playing the guitar every day for several hours.
Correct: Playing the guitar every day for several hours is how you get good.
Correct: Playing the guitar every day for several hourse, the boy dreamed of playing in a rock and roll band.
The incorrect version features no subject and is therefore a fragment. The first correction turns the original phrase into the subject of the sentence, while the second correction adds an independent clause to the end of the phrase.
Incorrect: Because I am tires of having to go to the practice every day after school.
Correct: I am tired of having to go to practice every day after school.
Correct: Because I am tired of having to go to practice every day after school, I am thinking about quitting the team.
Correct: I am thinking about quitting the team because I am tired of having to go to practice every day after school.
The incorrect version features a dependent clause incorrectly standing alone, the most common form of fragment on the SAT and ACT. Although a dependent clause has a subject and a verb, it does not express a complete thought. The first correction fixes the fragment by dropping the "because" from the clause. Since "because" is a dependent marker that turns a clause into a dependent clause, dropping it from the clasue creates an independent clause, which is capable of standing on its own. The second correction fixes the fragment by adding an independent clause to the end of the dependent clause, and the third correction fixes the fragment by adding an independent clause to the beginning of the dependent clause.
Incorrect: Many students, who worked hard to get into the colleges of their dreams.
Correct: Many students worked hard to get into the colleges of their dreams.
The word "who" in the incorrect version turns the second part of the sentence into a phrase. Therefore, the incorrect version features a subject followed by a phrase and does not express a complete thought, since there is not verb ouside the phrase. By removing the comma and the word "who," the verb "worked" becomes the main verb of the sentence, turning the sentence into an independent clause that expresses a complete thought.
Incorrect: The bird, soaring gracefully through the air high above the towering, snow-capped mountains.
Incorrect: The bird, having soared gracefully through the air high above the towering, snow-capped mountains.
Correct: The bird soared gracefully through the air high above the towering, snow-capped mountains.
Correct: The bird, soaring gracefully throught the air high above the towering, snow-capped mountains, spotted its prey on the valley floor far below.
Correct: The bird, having soared gracefully through the air high above the towering, snow-capped mountains, returned to earth and landed on a branch.
The two incorrect versions each feature a verb tense that results in the sentence failing to express a complete thought. Both verbs are simply part of a phrase, so neither sentence contains a main verb. In the first correction, the verb tense is changed to the past simple tense, which can successfully funtion as the main verb of the sentence. In each of the other two corrections, a main verb ("spotted" and "returned") is added after the phrase, allowing the sentence to express a complete thought.


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--- layout: post title: Kinect hacking in San Francisco date: 2012-01-09 12:37:19.000000000 -08:00 type: post published: true status: publish categories: tags: [] meta: _edit_last: '1' author: login: admin email<EMAIL_ADDRESS>display_name: admin first_name: Carina C. last_name: Zon ---
There's a lot of excitement currently about hacking Kinect for artistic/creative purposes. Gray Area Foundation for the Arts (GAFFTA) has an intro workshop weekend coming up on March 3rd/4th. Check it out, if you're curious: Kinect for Unity 3D


Preparation time
30 mins to 1 hour
Cooking time
30 mins to 1 hour
Serves
Serves 4
Warm, homemade rolls and crisp Caesar salad make a Saturday lunch fit for company.
Preheat the oven to 250C/475F/Gas 9. Place a baking stone or an upturned heavy baking tray in the oven to heat.
For the puff ball bread rolls, place the flour and salt into a large bowl. Add the yeast and water and mix to a soft dough.
Dust the work surface with lots of flour. Place the dough onto the surface and knead..
Continue kneading for five minutes until smooth and elastic.
Place in a bowl and cover, then leave to prove for 20 minutes.
Use the rounded end of a plastic scraper or spatula to scoop the dough from the bowl and use the flat edge to divide it into equal pieces - about 80g/3oz each.
Roll each piece of dough into a small ball, cover with a tea towel and leave to rest for a further five minutes.
Make sure there are no tiny pieces of dried dough on your work surface or rolling pin, as any particles that get into the dough will stop it from puffing up. Dust your work surface with some flour - sieve it first, for the same reason.
Roll out each piece of dough into a disc, turning it over a few times, and flouring well as you go. Continue rolling until the dough is very thin (1-2mm thick).
You will need to bake the puff ball rolls one or two at a time, depending on the size of your oven, so slide the first one or two onto a flat-edged baking tray, and use this to transfer the dough onto the baking stone or upturned tray in the preheated oven.
Bake for about 5-8 minutes - the puff ball rolls should inflate very quickly and are ready when they are completely puffed up, golden-brown and sound hollow if you tap them (very!) gently with your finger.
Carefully remove each one from the oven and cool on a wire rack. The puff ball rolls are at their best about 3-4 hours after baking, but can be kept for a couple of days in an airtight tin. Don't store in a plastic bag or they will soften.
For the salad, preheat the oven to 150C/300F/Gas 1.
Place the tomatoes, cut side up, on a roasting tray. Sprinkle with the thyme, salt, pepper and the olive oil.
Place in the oven and cook for 1-2 hours until the moisture has mostly evaporated and the tomatoes have dried. Remove and cool.

Place the Serrano ham onto a baking tray and place in the oven for five minutes until crisp. Remove and tear into large pieces, then cool.
For the dressing, place the garlic and wine into a saucepan, bring to the boil then simmer for five minutes until softened.
Place into a blender along with the egg yolks, anchovies, parmesan and mustard. Blend to a paste then add the olive oil in a steady stream - not too quickly - until thickened and emulsified. Season, to taste, with salt and freshly ground black pepper.
To serve, mix the salad leaves with the tomatoes, torn Serrano ham and the anchovies. Brush a small circle on the base of each puff ball roll with water to soften the crust. Carefully cut out the softened disc. Just before serving, push a good quantity of salad gently into each puff ball. Let everyone break the tops with a spoon and the salad will spring out. Pour the dressing into a jug and serve separately.


Comment:


IHaskell on mybinder.org
mybinder.org is a website that will freely host a
GitHub repository as a collection of interactive Jupyter notebooks. It has
excellent built-in support for some of the more popular Jupyter kernels such as
Python and Julia, but it also has support for building a Dockerfile
of your
choosing.
This means that getting an IHaskell installation up and running can be as simple as clicking a link, and I’m happy to report that I’ve gotten this working! You can try it here.
I started with the simplest thing I could think of, which was to install system
dependencies and Jupyter to an Ubuntu container and then run stack install ihaskell
.
Once I had that working, my next step was to roll these changes into
IHaskell’s Dockerfile
and
now everyone can use IHaskell on mybinder.org!
I’ve also pushed an image to Docker
Hub that you can use as a
base for your own repositories. A minimal example of a valid Dockerfile
looks
something like this:
FROM vaibhavsagar/ihaskell:4afa0aee339e
Ideally I would also like to get this running with Nix, because that approach
results in a much smaller image and is easily extensible just by editing
default.nix
. I have a small repo that builds but doesn’t run on mybinder.org,
and I’ve opened an issue.
I’m pretty excited about what this means for the Jupyter ecosystem and IHaskell in particular, and I’m looking forward to seeing what other people do with this!


Most juristic schools distribute shares to grandmothers on the father's side and grandmothers on the mother's side based on their generation level relative to each other.
Check the check box next to the grandmother who is of a more junior generation. If both are of the same generation make sure both check boxes are unchecked.


Compute numerical gradients along x and y directions. For 2D arrays identical to Matlab's gradient() with a spacing value of h=1 but ~10-20x faster (due to mexed implementation). Like gradient(), computes centered derivatives in interior of image and uncentered derivatives along boundaries. For 3D arrays computes x and y gradient separately for each channel and concatenates the results. This code requires SSE2 to compile and run (most modern Intel and AMD processors support SSE2). Please see: http://en.wikipedia.org/wiki/SSE2. USAGE [Gx,Gy] = gradient2( I ) INPUTS I - [hxwxk] input k channel single image OUTPUTS Gx - [hxwxk] x-gradient (horizontal) Gy - [hxwxk] y-gradient (vertical) EXAMPLE I=single(imread('peppers.png'))/255; tic, [Gx1,Gy1]=gradient(I,1); toc tic, [Gx2,Gy2]=gradient2(I); toc isequal(Gx1,Gx2), isequal(Gy1,Gy2) See also gradient, gradientMag Piotr's Computer Vision Matlab Toolbox Version 3.00 Copyright 2014 Piotr Dollar & Ron Appel. [pdollar-at-gmail.com] Licensed under the Simplified BSD License [see external/bsd.txt]


Donald Trump on Immigration
- "We must build a great wall between Mexico and the United States!"
- "There are strict immigration laws already in place. Sadly, America doesn’t have a President willing to enforce them. As Trump opined, “This wholesale abdication of a president’s constitutional duties is as shocking as it is foolish,” he wrote of Obama’s actions. “It’s political pandering of the worst kind.”


Bio
| Kred: None (click to vote)
Jack200
Do you like random videos
Gender:
Male |
Views:
6,027
Country:
United States
Description:
Hello!! and welcome to my keek here where i entertaine you!!
Member since: August 13, 2013


This is a map of Middlesex.
back to index
My Courses
- MOB4510 - Strategic Decision Making
- ASM3300 - Strategic Problem Solving
- ECN3667 - Strategic Game Theory
- MIS3690 - Web Technology
2018 FIFA World Cup Ranking
- France
- Croatia
- Belgium
- England
Go Beavers!


Dwarf Fortress Heightmap Generator
About
Heightmaps
Elevation
Rainfall
Temperature
Drainage
Savagery
Volcanicity
257
257
129
65
33
17
257
257
129
65
33
17
Offset
Ratio


Reports methods without parameter clauses that override Java methods with mutator-like names.
Scala allows overriding parameterless Java methods without parameter clauses. This is mainly to allow Scala code to override Java accessor methods the same way as Scala accessor methods. Namely without parameter clause and thereby adhere to the uniform access principle, which says that the client code should not be affected by the decision to implement an attribute as a field or method.
For methods with side effects, however, it is convention to have an empty parameter clause. This would be in accordance with the Liskov substitution principle, whereby, when an overridden method has side effects, the overriding method must also be declared as a method with side effects.
The quick-fix adds an empty parameter clause.
Example:
import java.util
class Test extends util.ArrayList[String] {
override def clear: Unit = ???
}
After the quick-fix is applied:
import java.util
class Test extends util.ArrayList[String] {
override def clear(): Unit = ???
}


Public Types | |
| enum | MouseAction { AppearOnObject, ClickOnObject, MoveToObject } |
Static Public Attributes | |
| static int | DefaultDelay = 400 |
Protected Member Functions | |
| internal override void | writeStepScript (StringBuilder buff, string spotId, Spotlight spot) |
Properties | |
| string | AttachedTo [get, set] |
| MouseAction | Action [get, set] |
| int | Delay [get, set] |
Static Private Member Functions | |
| static | MouseStep () |
| static Nitobi.MouseStep.MouseStep | ( | ) | [static, private] |
| internal override void Nitobi.MouseStep.writeStepScript | ( | StringBuilder | buff, | |
| string | spotId, | |||
| Spotlight | spot | |||
| ) | [protected, virtual] |
Implements Nitobi.SpotlightStep.
int Nitobi.MouseStep.DefaultDelay = 400 [static] |
string Nitobi.MouseStep.AttachedTo [get, set] |
MouseAction Nitobi.MouseStep.Action [get, set] |
int Nitobi.MouseStep.Delay [get, set] |


Try changing the subject text, then clicking on the reset link.
Subject
Click me to reset the default subject


---
title: "WATERWISE LANDSCAPING"
date: "2000-01-01 20:04:20 -06:00"
categories:
- adult
subtitle: ""
layout: "events"
event-image: "waterwise-landscapes.jpg"
event-dates: "MONDAYS, APRIL 20 & 27"
event-location: "Red Butte Garden Classroom"
button-type: "#"
tickets-link: "https://continue.utah.edu/lifelong/class/llhg_521_waterwise_landscaping"
registration-info: "Phone Registration Available:
801-587-5433
Lifelong Learning: LLHG 521
Contact Information:<PHONE_NUMBER>
"
instructor-info: "Guy Banner, Red Butte Garden"
member-cost: "$53"
public-cost: "$59"
event-notes: ""
tickets-button: ""
published: false
---
This class has been cancelled. If you are already registered you will receive an email from our registrar and a full refund. We apologize for any inconvenience.
MONDAYS, APRIL 20 & 27
6PM - 8PM
REGISTRATION REQUIRED
Looking to reduce your water consumption while keeping your garden attractive? Do you want to improve the ecological quality of your landscape? Interested in low-water plants, but not sure where to start? If so, please join us for a primer on waterwise landscaping. We will cover the basics of waterwise landscaping, including site selection, soil preparation, passive water harvesting techniques, irrigation systems, hydro-zoning, low-water lawn alternatives, design styles and plant selection. Co-sponsored with Lifelong Learning. Members pay $53; register for section 002.


This is a simple JSON API for storing generic documents.
Each document has a name
and a body
.
The route can be found at /api/docs.
Note that it requires basic authorization and is secured with TLS
(the curl
examples below omit the -u
and -k
options but you may need them). You may also need to
specify an alternative HTTPS port (the default is 8443).
Returns all of your documents; e.g.:
curl https://host/api/docs
[
{ "name": "todo", "body": "1. eat\n2. sleep\n3. code" },
{ "name": "How_To_Be_A_Champion", "body": "Be Arnold" },
...
]
Fetch a document by name; e.g.:
curl https://host/api/docs/todo
{
"name": "todo",
"body": "1. eat\n2. sleep\n3. code"
}
Create a new document; e.g.:
curl https://host/api/docs \
-d '{"name": "notes", "body": "today was a good day"}'
name
is required, must be unique, and can only contain
letters, numbers, dashes, and underscores. The created document will be
returned.
Update an existing document; e.g.:
curl https://host/api/docs/notes -X PUT \
-d '{"name": "notes", "body": "today was most excellent"}'
The updated document will be returned.
Delete a document; e.g.:
curl https://host/api/docs/todo -X DELETE
The deleted document will be returned.
When there is an error for whatever reason, the appropriate status code
will be set on the response and an array of error objects will be returned.
Each contains a message
and possibly a field
if
the error pertains to a particular field; e.g.:
curl https://host/api/docs -d '{"body":"asdf"}'
[
{ "message": "Name is required.", "field": "name" }
]


Ashcroft, John
| Birth Name | Ashcroft, John |
| Gender | male |
| Age at Death | 71 years, 2 months, 17 days |
Narrative
John Ashcroft was a convict, Born in Stretford, Lancashire, he was convicted of stealing bolts of cloth from the bleaching grounds in Horwich in Lancaster. He was sentenced to 3 years, from July 1814 to July 1817, he was employed by William Howe at "Glenlee", between Liverpool & Campbelltown NSW.He was assigned 40 acres of land at Minto & settled on the land. He is buried in a Vault at St.Peters CofE Cemetery Campbelltown.
John left England on 22/2/1814 on the "Surrey" arrived on 29/7/1814. She was 720tons - 200 male convicts plus some free settlers, it took 156 days. There was typhus on board & they had 51 deaths. The Captain was James Paterson, 1st & 2nd mates, the boatswain, 6 seaman, the Surgeon & 4 soldiers. The Broxbornebury brought her in from Shoulhaven.
There are 3 deaths for John Ashcroft - 1st in 1835 #2189 Vol 19, which turns out to be for a John Ashcroft of Pitt Street, buried on 29/7/1835, age 54 yrs, ship unknown, occupation butcher, by Rev.Richard Hill, at St James CofE, Sydney. The 2nd one - #2045 Vol 43a age 75yrs. (18 Jan 1855) was ours. The 3rd one in 1886 #13460 son of Thomas & Elizabeth.??
Events
| Event | Date | Place | Description | Sources |
|---|---|---|---|---|
| Birth | 1783-11-00 | Stratford Lancashire England | ||
|
|
||||
| Death | 1855-01-18 | Menangle Cambelltown NSW | ||
|
|
||||
| Burial | 1855-01-21 | St Peters Vault, Cambelltown NSW | ||
|
|
Parents
| Relation to main person | Name | Birth date | Death date | Relation within this family (if not by birth) |
|---|---|---|---|---|
| Father | Ashcroft, Thomas | 1747 | ||
| Mother | Smith, Elizabeth or Margaret Rigby | 1751 | ||
| Brother | Ashcroft, Robert | 1772 | ||
| Sister | Ashcroft, Mary | 1776 | ||
| Brother | Ashcroft, William | 1778 | ||
| Ashcroft, John | 1783-11-00 | 1855-01-18 | ||
| Sister | Ashcroft, Ruth | 1782 |
Families
Family of Ashcroft, John and Chapman, Elizabeth Tebbutt |
|||||||||||||||||||||||||||||
| Married | Wife | Chapman, Elizabeth Tebbutt ( * 1790-08-15 + 1847-01-18 ) | |||||||||||||||||||||||||||
|
|||||||||||||||||||||||||||||
| Narrative |
I have a P-copy of John & Elizabeth's Marriage Certificate #1818/2167 Vol 3a. on 20 Apr 1818. |
||||||||||||||||||||||||||||
| Children |
| Name | Birth Date | Death Date |
|---|---|---|
| Ashcroft, John | 1817-03-14 | 1909-03-06 |
| Ashcroft, Thomas | 1820-11-21 | 1867-12-12 |
| Ashcroft, James -(Ashcraft) | 1823-11-17 | 1893-06-09 |
| Ashcroft, Ann | 1825-01-23 | 1907-07-29 |
| Ashcroft, Henry “Harry” | 1827-02-21 | 1896-09-07 |
| Ashcroft, Edward | 1828-12-13 | 1896-07-19 |
| Ashcroft, Ellen | 1832-01-15 | 1866-10-13 |
| Ashcroft, George Edwin | 1834-10-03 | 1912-05-21 |
| Type | Value | Notes | Sources |
|---|---|---|---|
| _UID | 5AFEFA65E5C4D5119853B7EB0FA9CA6DC280 |
Attributes
| Type | Value | Notes | Sources |
|---|---|---|---|
| _UID | 5DFEFA65E5C4D5119853B7EB0FA9CA6DC5B0 |


X
Please Select the manual assertions options.
#
Assertion
Status
Description
Assertion Test
Loading Enviroment Please wait....
Thing Description Playground
Validation according to
Create Issue
Script Validation

JSON validation
JSON Schema validation
(With Defaults) JSON Schema validation
JSON-LD validation
Additional Checks
Editor Theme
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Validate
Clear Log
Gistify
Assertion Test
Examples:
Select None
Waiting for validation...


All Classes
| Class | Description |
|---|---|
| AckMessage |
Acknowledgment message to be use in stub as the return for void
functions
|
| BadRequest |
A bad request object.
|
| Client |
Sends requests and prints the response.
|
| ClientSide |
The client side thread In charge of listening for and responding to
request from the server.
|
| ClientSide |
Stub for the client side of the intermediate.
|
| ClientSideApi |
Api for the client side of the intermediate.
|
| Config |
The configuration file loader.
|
| EndState |
The state for when parsing is done, ignoring all remaining bytes.
|
| FilenameState |
The state for decoding the filename.
|
| InitialState |
The initial state of the parser.
|
| Intermediate |
A buffer between the server and client.
|
| Main |
A main class to run intermediate.
|
| Main |
A main class to run all the actors.
|
| Message |
Serializable alternative to optional.
|
| ModeState |
The state for decoding the mode.
|
| Request |
The request object sent by client containing information specified in
the outline.
|
| Request.Parser |
The Parser for request objects.
|
| Response |
The response object sent by the server.
|
| Server |
Receives requests and responses to them.
|
| ServerSide |
The server side thread In charge of listening for and responding to
request from the server.
|
| ServerSide |
Stub for the server side of the intermediate.
|
| ServerSideApi |
Api for the server side of the intermediate.
|
| State |
Abstract state class for a object orientated parser.
|
| StringState |
Abstract class for parsing a string ending a 0 byte.
|
| StubClient |
Abstract stub client for rpc.
|
| StubRequestMessage |
Representation of a function call to be use in stub.
|
| StubServer |
Abstract stub server for rpc.
|
| TypeState |
Decode if the request is read or write.
|


Just a rather very intelligent system
Server monitoring software is designed to make sure that a server is active, healthy, and responding to requests appropriately.
JARVIS is advanced server monitoring software which lets you check both basic server uptime and detailed usage statistics on all types of servers, including:
text....
text....
text....
Create a JARVIS account is fast, easy and free


{% extends './layouts/default.html' %} {% block title %}{{title}}{% endblock %} {% block content %}
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged.


Pretend your phone's screen is cracked with this wallpaper
by Rusty BlazenhoffWhen one man's screen cracked, our pal Doctor Popular saw an opportunity:
After a cat knocked knocked over his tv, Timothy Ryan Mulroney took a photo of the cracked screen and shared it on the Glitch Artists Collective on Facebook.
I thought it would make a great iPhone wallpaper… so I made it into one. You can download it here.
Fun!


Application Permissions
To use Viade, you must grant Read, Write, Append, and Control permissions to allow
the app to create and read routes files in your Pod.
To manage your Trusted Applications
- Log into your Pod.
- Display your Preferences.
- In the Manage your trusted applications table, against the Application URL of the Generator application you are using:
- Select Read, Write, Append, and Control Access Modes. (i.e., all checkboxes are selected).
- Click "Update" under Actions.
You should now be able to use the app.


We provide a dataset with 2185 CPUs and 2668 GPUs to help researchers
understand the development trend of CPUs and GPUs.
High-flexibility, high-performance, parallel computer architecture
simulation framework.
Multi-GPU system simulator based on AMD GCN3 GPUs.
Hetero-Mark
Benchmark suite for CPU-GPU collaborative computing.
Drug Supply Chain Simulator
Human-in-the-loop logistics simulator for the US drug supply chain.
VistaLights
Strategic game for maritime traffic management and disaster relieving.


Which is the divide-by-twos increment series for an array of NUM elements?
The first increment must be a power of 2 that generates sublists with two elements.
Each succeeding increment must be half the size of the previous one.


#assign link = "${base_url}/account/${user.id}/activate?code=${user.activationCode}">
Welcome,
To activate your account follow this link: ${link}
Best regards, UAA


Dojo’s Native Select provides a dropdown menu form control using the browser’s native <select> element.
Native Select
<select>


Hunter's Story
Hunter is a junior at Oakland University studying pre-physical therapy. Hunter joined Cultivate’s process in the spring of 2019 and has grown tremendously in his faith and as a leader since joining. When Hunter began the Cultivate process, he thought that he was “close” to God, but what unaware of the intimacy that could have with the Father.
As a freshman Hunter spottily attended Younglife, a campus ministry at Oakland University designed to help people experience the Lord. From the moment he walked into Younglife it was clear that he had a passion for the Lord. Hunter demonstrated maturity and knowledge in his faith but lacked direction. As Hunter adjusted to college life, he became consumed with other things such as tennis, his dorm, and what his new friends thought of him. Hunter believed that he had held true to his faith, but he was not growing in his relationship with God.
In the fall of 2018 Hunter began regularly attending Younglife and quickly became a figure others looked up to. Hunter’s winsome personality and maturity drew others towards him. In early March of 2019, Hunter’s journey with Cultivate began. After attended a Younglife retreat titled: rekindle, which focused on reigniting your fire for the Lord, Hunter came back with a drive to pursue the Lord fully. This coupled with his best friend accepting Christ on the retreat, Hunter was finally ready to go all in.
Within a week of the retreat, Hunter began meeting with a mentor, Kyle Vens, who helped to guide Hunter in his early steps pursuing the Lord. As Hunter began to seek the Lord more avidly, things within his life began to change. Hunter experienced significant hardships in the weeks to come but held tight to his newly ignited faith. As Hunter and Kyle continued to meet Hunter learned how to pursue the Lord daily, as opposed to only on Sundays. As Hunter continued to grow in his faith he began to meet with Tim Kade, the lead pastor at Epic Church and discipler within Cultivate. Tim and Hunter now meet weekly. Tim has been a crucial part of Hunter’s continued growth as a leader and man of God.
Hunter’s passion for the Lord sparked the interested of Younglife and in the spring of 2019, he was asked to be a part of Younglife’s leadership team. Hunter’s drive and natural leadership skills proved to be an asset to Younglife’s leadership team. Hunter became one of the key outreach team members bringing in new people every week. In addition to this, Hunter began meeting with other young men within Younglife and helping them overcome the obstacles they were facing. As Hunter grew as a leader, he was given the opportunity to speak for Younglife and did an extraordinary job sharing the importance of community.
In the Fall of 2019 Hunter was asked to be one of the main speakers for Younglife. Hunter’s knowledge of scripture, humor, and heart provides him the tools needed to be a talented speaker. Hunter meets with Cultivate’s team of speaking coaches to help him prepare for messages and to review the messages he’s given. Since Hunter began meeting with our team he has grown as a speaker and now speaks with more clarity, confidence, and depth.
Hunter’s focus on speaking has not deterred from his desire to evangelize. In addition to Hunter’s leadership in Younglife, he is a resident assistant in a dorm on campus. This semester Hunter led two of his residences to Christ! Hunter has developed relationships with these two individuals and has been a constant source of support for these two freshmen as they begin to follow the Lord.
Hunter attributes much of his growth as a man of God to the community and fellowship he has with other Christ-followers. Hunter meets regularly with 6 other men in one of cultivates life groups focused on self-discovery. Through this group, Hunter has learned a lot about himself as well as develop deeper relationships with the men in the group. Hunter wanted to emphasize the impact this community has had on his life and as a follower of Christ.
Hunter plans to graduate Oakland in the Spring of 2021 with a BA in exercise science and plans to get his doctorate in physical therapy at Oakland University. He hopes to remain active within Younglife’s ministry over the next two years and to continue to grow in his faith and as a leader.
Below are quotes from Hunter about his time in Cultivate.
Cultivate, and the relationships formed and introduced by it, has shaped and formed me into a better man. My time in cultivate has opened my eyes to the wonders of God, and the many many more I have yet to learn. It has taught me that spiritual growth is continual and ever-changing, but the God we serve is always the same. Cultivate is truly amazing.
These are quotes from Kyle Vens, one of Hunter’s mentors, about Hunter’s time in Cultivate.
Since joining Cultivate Hunter has grown as a leader and as a man of God. Hunter has grown in his ability to take captive his emotions and thoughts and test them against the spirit. Hunter has also grown in his emotional maturity and now handles controversy with Christ at the center. Hunter has become a beacon of light to those in his life and has truly become an effective kingdom worker. I could not be prouder of Hunter and the man he is becoming.


| Module | ActiveMerchant::Billing::Integrations::Nochex |
| In: |
lib/active_merchant/billing/integrations/nochex/helper.rb
lib/active_merchant/billing/integrations/nochex/notification.rb lib/active_merchant/billing/integrations/nochex/return.rb lib/active_merchant/billing/integrations/nochex.rb |
To start with Nochex, follow the instructions for installing ActiveMerchant as a plugin, as described on www.activemerchant.org/.
The plugin will automatically add the ActionView helper for ActiveMerchant, which will allow you to make the Nochex payments. The idea behind the helper is that it generates an invisible forwarding screen that will automatically redirect the user. So you would collect all the information about the order and then simply render the hidden form, which redirects the user to Nochex.
The syntax of the helper is as follows:
<% payment_service_for 'order id', 'nochex_user_id', :amount => 50.00, :service => :nochex, :html => { :id => 'nochex-form' } do |service| %> <% service.customer :first_name => 'Cody', :last_name => 'Fauser', :phone => '(555)555-5555', :email =><EMAIL_ADDRESS>%> <% service.billing_address :city => 'Ottawa', :address1 => '21 Snowy Brook Lane', :address2 => 'Apt. 36', :state => 'ON', :country => 'CA', :zip => 'K1J1E5' %> <% service.invoice '#1000' %> <% service.shipping '0.00' %> <% service.tax '0.00' %> <% service.notify_url url_for(:action => 'notify', :only_path => false) %> <% service.return_url url_for(:action => 'done', :only_path => false) %> <% service.cancel_return_url 'http://mystore.com' %> <% end %>
The notify_url is the URL that the Nochex IPN will be sent. You can handle the notification in your controller action as follows:
class NotificationController < ApplicationController include ActiveMerchant::Billing::Integrations def notify notification = Nochex::Notification.new(request.raw_post) begin # Acknowledge notification with Nochex raise StandardError, 'Illegal Notification' unless notification.acknowledge # Process the payment rescue => e logger.warn("Illegal notification received: #{e.message}") ensure head(:ok) end end end
Simply a convenience method that returns a new ActiveMerchant::Billing::Integrations::Nochex::Notification
# File lib/active_merchant/billing/integrations/nochex.rb, line 77 77: def self.notification(post) 78: Notification.new(post) 79: end


About 🤓
Civic Tech Chat is a podcast covering the civic technology movement. Inspired by FDR’s Fireside Chats, we seek to raise awareness of the work being done by technologists around the world to build a public service infrastructure that works more efficiently and conveniently for all citizens.
ci•vic tech•no•lo•gy (n.): technology (mainly information technology) that enables engagement or participation of the public for stronger development, enhancing citizen communications, improving government infrastructure, and generally improving the public good (wikipedia).
Hosted by Ryan Koch.
Contributions from Leah Bannon and Mohith Rao.
Links
- Twitter 🐦
- Music we use 🎶
The Website
This site is powered by Jekyll on Github Pages. We use the Paper theme.


[1]
the above said it is a convenient and comfortable hotel in the central cbd.
[2]
luckily we were all out when we returned after midnight after a visit to phillip island and the central cbd.


Summary + Results | This project was a labor of love and a wonderful opportunity to exercise my full gamut of skills during design school. I was initially approched to create a logo and light branding for a new yoga studio in town. Fortunately I am a yoga instructor, and had a good idea of the back story, Dancing shiva being an Indian goddess depicted in a ring of fire, and dancer pose being a balancing pose on one foot. Merging these two concepts in vector form, our girl was born. From there I worked with the owner to carry out her branding, create marketing materials for opening, and when the time came around I was able to create a website design. I implemented best UI/UX practices and worked within the grid system I knew well. The results were a cohesive theme and a whole lot of sweat-asana.


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Financial Planning
Here are a few tips I have for you to save money in college.
Rule of Thumb: If you spend money on one item, be prepared to sacrifice that for something else. For example, I know if I go out to dinner with friends Friday night, I should lay low Saturday to make up for the money spent from Friday.
My boyfriend makes an Excel sheet with all his expenses listed on it. In this way, he was able to calculate how much he spends each week.
There are numerous apps on smartphones that can help you keep track and budget your money as well. The links are listed below:
The Simple Card
I had heard many good things about the Simple card, which is a credit card that is completely runned through an online bank. It makes transfering money from seperate accounts easy and it even lets you send checks via online or through your phone. I tried signing up and I have been put on a waiting list (because there are so many applicants), but it is well worth the wait.


Home
>
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>
Form Labeling
Password Input - Explicit Labeling
Create a new account
E-mail Address:
User Name:
Password:
Confirm Password:


The Geek
I'm a lifetime LA Geek & Web Developer with a background in entrepreneurial ventures, team building and management by leadership in the digital media, video game software, & event industries. I’m excited about Los Angeles's tech boom & eager to work on projects where I can implement my past experience with web development!
Joined World of Dance to build the World of Dance Network of YouTube Channels. Duties expanded to include overseeing all aspects of Digital including marketing, video content production, web-ecommerce & social media
Producer at creative boutique digital video production firm specializing in facilitating the daily activities of production for our clients’ brands specializing in digital commercials and EPK’s
Senior Game Service Manager leading multiple teams of Game Masters & serving in all aspects of operations, Responsible for operational duties which impact World of Warcraft service and realm stability. Created operational procedures, workflows, & departmental policies
Entered the Video Game Industry in the Quality Assurance Department learning controlled procedural software testing


MeeToo 5.0 - Change the phone ringtone and notification sound
Document Id: KBDOC-00205
Created: 2012-09-21
Updated: 2012-09-26
Steps to change the phone ringtone for calls on your MeeToo 5.0
- From the Preferences screen, tap Settings.
- Tap Sounds.
- Tap Ringtone.
- Tap your preferred ringtone.
- You've now changed the ringtone.
Steps to change the notification ringtone for texts on MeeToo 5.0
- From the Preferences screen, tap Settings.
- Tap Sounds.
- Tap Text Tone.
- Tap your preferred ringtone.
- You've now changed the ringtone.
Steps to change the notification ringtone for emails on MeeToo 5.0
- From the Preferences screen, tap Settings.
- Tap Sounds.
- Scroll to and tap New Mail.
- Tap your preferred ringtone.
- You've now changed the ringtone.
Tags: phone, changed, phonenumber, who, those


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mersenne-english-name GitHub repository |
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| [chongo's home] [Astronomy] [Mathematics] [Prime Numbers] [Programming] [Technology] [contacting Landon] |
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Digits and English names of Mersenne primesThe decimal digits and English names of the known Mersenne primes. This list often includes the largest known prime. See: http://www.isthe.com/chongo/tech/math/prime/mersenne.html for more information. See http://www.isthe.com/chongo/tech/math/prime/mersenne.html#useful for some useful links on primes. For a tutorial on finding a new largest know prime, see: http://www.isthe.com/chongo/tech/math/prime/prime-tutorial.pdf?index.html The English names were generated by number: http://www.isthe.com/chongo/tech/math/number/number.html For futher infomation on English names, see: http://www.isthe.com/chongo/tech/math/number/howhigh.html chongo (Landon Curt Noll) http://www.isthe.com/chongo/index.html -- Share and Enjoy! :-) |
|
© 1994-2013
Landon Curt Noll chongo (was here) /\oo/\ $Revision: 7.2 $ $Date: 2013/11/24 12:41:16 $ |


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Problem 2. Numbers not divisible
Write a script that prints all the numbers from 1 to N, that are not divisible by 3 and 7 at the same time
You could use Chrome console or Firebug to see the results.


Most of the articles here use a solid color for a background.
Adding as static background can be as simple as setting some CSS. Taking an example from the article on making THREE.js responsive we only need to change 2 things.
We need to add some CSS to our canvas to set its background to an image
<style> body { margin: 0; } #c { width: 100%; height: 100%; display: block; + background: url(resources/images/daikanyama.jpg) no-repeat center center; + background-size: cover; } </style>
and we need to tell the WebGLRenderer
to use alpha
so places we are not
drawing anything are transparent.
function main() { const canvas = document.querySelector('#c'); - const renderer = new THREE.WebGLRenderer({antialias: true, canvas}); + const renderer = new THREE.WebGLRenderer({ + antialias: true, + canvas, + alpha: true, + });
And we get a background.
If we want the background to be able to be affected by post processing effects then we need to draw the background using THREE.js.
THREE.js makes this some what simple. We can just set the background of the scene to a texture.
const loader = new THREE.TextureLoader(); const bgTexture = loader.load('resources/images/daikanyama.jpg'); bgTexture.colorSpace = THREE.SRGBColorSpace; scene.background = bgTexture;
which gives us
This gets us a background image but its stretched to fit the screen.
We can solve this issue by setting the repeat
and offset
properties of
the texture to show only a portion of image.
function render(time) { ... + // Set the repeat and offset properties of the background texture + // to keep the image's aspect correct. + // Note the image may not have loaded yet. + const canvasAspect = canvas.clientWidth / canvas.clientHeight; + const imageAspect = bgTexture.image ? bgTexture.image.width / bgTexture.image.height : 1; + const aspect = imageAspect / canvasAspect; + + bgTexture.offset.x = aspect > 1 ? (1 - 1 / aspect) / 2 : 0; + bgTexture.repeat.x = aspect > 1 ? 1 / aspect : 1; + + bgTexture.offset.y = aspect > 1 ? 0 : (1 - aspect) / 2; + bgTexture.repeat.y = aspect > 1 ? 1 : aspect; ... renderer.render(scene, camera); requestAnimationFrame(render); }
and now THREE.js drawing the background. There is no visible difference from the CSS version at the top but now if we used a post processing effect the background would be affected too.
Of course a static background is not usually what we want in a 3D scene. Instead we usually want some kind of skybox. A skybox is just that, box with the sky draw on it. We put the camera inside the box and it looks like there is a sky in the background.
The most common way to implement a skybox is to make a cube, apply a texture to
it, draw it from the inside. On each side of the cube put a texture (using
texture coordinates) that looks like some image of the horizon. It's also often
common to use a sky sphere or a sky dome with a texture drawn on it. You can
probably figure that one out on your own. Just make a cube or sphere,
apply a texture, mark it as THREE.BackSide
so we
render the inside instead of the outside, and either put it in your scene directly
or like above, or, make 2 scenes, a special one to draw the skybox/sphere/dome and the
normal one to draw everything else. You'd use your normal PerspectiveCamera
to
draw. No need for the OrthographicCamera
.
Another solution is to use a Cubemap. A Cubemap is a special kind of texture that has 6 sides, the sides of a cube. Instead of using standard texture coordinates it uses a direction from the center pointing outward to decide where to get a color.
Here are the 6 images of a cubemap from the computer history museum in Mountain View, California.
To use them we use CubeTextureLoader
to load them and then use that as a the
scene's background.
{ const loader = new THREE.CubeTextureLoader(); const texture = loader.load([ 'resources/images/cubemaps/computer-history-museum/pos-x.jpg', 'resources/images/cubemaps/computer-history-museum/neg-x.jpg', 'resources/images/cubemaps/computer-history-museum/pos-y.jpg', 'resources/images/cubemaps/computer-history-museum/neg-y.jpg', 'resources/images/cubemaps/computer-history-museum/pos-z.jpg', 'resources/images/cubemaps/computer-history-museum/neg-z.jpg', ]); scene.background = texture; }
At render time we don't need to adjust the texture like we did above
function render(time) { ... - // Set the repeat and offset properties of the background texture - // to keep the image's aspect correct. - // Note the image may not have loaded yet. - const canvasAspect = canvas.clientWidth / canvas.clientHeight; - const imageAspect = bgTexture.image ? bgTexture.image.width / bgTexture.image.height : 1; - const aspect = imageAspect / canvasAspect; - - bgTexture.offset.x = aspect > 1 ? (1 - 1 / aspect) / 2 : 0; - bgTexture.repeat.x = aspect > 1 ? 1 / aspect : 1; - - bgTexture.offset.y = aspect > 1 ? 0 : (1 - aspect) / 2; - bgTexture.repeat.y = aspect > 1 ? 1 : aspect; ... renderer.render(scene, camera); requestAnimationFrame(render); }
Let's add some controls in so we can rotate the camera.
import {OrbitControls} from 'three/addons/controls/OrbitControls.js';
const fov = 75; const aspect = 2; // the canvas default const near = 0.1; -const far = 5; +const far = 100; const camera = new THREE.PerspectiveCamera(fov, aspect, near, far); -camera.position.z = 2; +camera.position.z = 3; +const controls = new OrbitControls(camera, canvas); +controls.target.set(0, 0, 0); +controls.update();
and try it out. Drag on the example to rotate the camera and see the cubemap surrounds us.
Another option is to use an Equirectangular map. This is the kind of picture a 360 camera takes.
Here's one I found from this site.
{ - const loader = new THREE.CubeTextureLoader(); - const texture = loader.load([ - 'resources/images/cubemaps/computer-history-museum/pos-x.jpg', - 'resources/images/cubemaps/computer-history-museum/neg-x.jpg', - 'resources/images/cubemaps/computer-history-museum/pos-y.jpg', - 'resources/images/cubemaps/computer-history-museum/neg-y.jpg', - 'resources/images/cubemaps/computer-history-museum/pos-z.jpg', - 'resources/images/cubemaps/computer-history-museum/neg-z.jpg', - ]); - scene.background = texture; + const loader = new THREE.TextureLoader(); + const texture = loader.load( + 'resources/images/equirectangularmaps/tears_of_steel_bridge_2k.jpg', + () => { + texture.mapping = THREE.EquirectangularReflectionMapping; + texture.colorSpace = THREE.SRGBColorSpace; + scene.background = texture; + }); }
And that's all there is to it.
Rather than do it at load time you can also convert an equirectangular image to a cubemap beforehand. Here's a site that will do it for you.


{# Relationship. Note that use the label you set for the relation, not the content-type name. #}
<% if(controlInfo.meta ? controlInfo.meta.isSingle : false) { %>
{# You can ouput more than just the name. Feel free to output more fields from the CMS. #}
{{ <%- value %>.name }}
<% } else { %>
{% for relation in <%- value %> %}
{# You can ouput more than just the name. Feel free to output more fields from the CMS. #}
{{ relation.name }}{% if not loop.last %},{% endif %}
{% endfor %}
<% } %>


1819 Birth
Harriet Tubman was born into slavery in 1819 or 1820, in Dorchester County, Maryland.
Harriet Tubman was born into slavery in 1819 or 1820, in Dorchester County, Maryland.
In 1844 at the age of 25, she married John Tubman, a free African American who did not share her dream. Since she was a slave, she knew there could be a chance that she could be sold and her marriage would be split apart. Harriet dreamed of traveling north.
Harriet was given a piece of paper by a white abolitionist neighbor with two names, and told how to find the first house on her path to freedom. At the first house she was put into a wagon, covered with a sack, and driven to her next destination.
In September of the same year, Harriet was made an official "conductor" of the UGRR.
Harriet's third trip was in September 1851. She went to get her husband, John, but he had remarried and did not want to leave. So she went back up North.
Before she died on March 10, 1913, she gave her home for the elderly to the Methodist Episcopal Zion Church. Tubman was buried with military rites in Fort Hill Cemetery, a short drive from the home.
Copyright © 2021 Troy Web Consulting
(518) 326-3798 |<EMAIL_ADDRESS>Sales Office: 200 Broadway Troy NY 12180
Development Center: 333 Broadway Troy, New York 12180


Creator: Hine, Lewis Wickes
Title: The Arnao family of berry pickers in the fields
of Truitt's farm. This is an Italian family coming from Phildelphia and now ready to go to Carmel,
N.J. to continue picking.
All of whom pick. Location: Cannon, Delaware.
Date: 1910 May
Format: Photograph
Institution: National Child Labor Committee collection
Link: https://www.loc.gov/item/2018675928/
Italians have a rich history in the United States, by 1920 over 4 million Italians migrated to the United States. Most of these Italians landed on Ellis Island, a small island outside of NYC. Like many other immigrants who migrated to the United States, Italians were driven to leave their country due to years of political chaos, poverty and violence. By the 20th century in the United States, Italians who were already living here began expanding across the nation. As Italians started moving to different parts of the country, they started finding themselves in a variety of different jobs and opportunities. In the Appalachian Mountains and the mountain West, many Italians worked in the mines and the pits excavating for coal and ore. Many Italians also found work on farms and ranches in the northeast, the south and California. The photo above is an Italian family picking berries in Delaware in 1910.


First Group of Cuban Health Personnel Returns from Bolivia
by RHCRoberto Morales Ojeda, vice-president of the Cuban Council of Ministers, Foreign Minister Bruno Rodríguez and Public Health Minister José Angel Portal Miranda welcomed on Saturday evening the first group of Cuban health workers who were working in Bolivia.
Havana, Cuba.- Some 224 aid-workers returned to Cuba on this first trip, out of more than 700 who were working in the South American nation as part of the bilateral medical collaboration program.
After the arbitrary detention of several health collaborators, the Ministry of Foreign Affairs reported on the decision to withdraw all aid-personnel to Cuba.
The Cuban Medical Brigade spent 13 years in different parts of the Bolivian geography, where it saved lives and gave back or improved the eyesight to around 700 thousand people. (RHC)


- aboutAuthors() - Method in class it.univr.GameOfLife.Dialog
-
This method is used for showing informations about the author of this game.
- actionListenerMode - Variable in class it.univr.GameOfLife.Griglia
-
Instantiates the default actionListener (kill Mode)
- addBeacon(int, int) - Method in class it.univr.GameOfLife.Core
-
This method is used for adding a Beacon into game grid.
- addBeehive(int, int) - Method in class it.univr.GameOfLife.Core
-
This method is used for adding a Beehive into game grid.
- addBlinkerHorizontal(int, int) - Method in class it.univr.GameOfLife.Core
-
This method is used for adding a HorizontalBlinker into game grid.
- addBlinkerVertical(int, int) - Method in class it.univr.GameOfLife.Core
-
This method is used for adding a VerticalBlinker into game grid.
- addBlock(int, int) - Method in class it.univr.GameOfLife.Core
-
This method is used for adding a Block into game grid.
- addCell(int, int) - Method in class it.univr.GameOfLife.Core
-
This method is used for adding a cell.
- addGlider(int, int) - Method in class it.univr.GameOfLife.Core
-
This method is used for adding a Glider into game grid
- addLightweight(int, int) - Method in class it.univr.GameOfLife.Core
-
This method is used for adding a LightWeight into game grid.
- addLoaf(int, int) - Method in class it.univr.GameOfLife.Core
-
This method is used for adding a Loaf into game grid.
- addPulsar(int, int) - Method in class it.univr.GameOfLife.Core
-
This method is used for adding a Pulsar into game grid
- addShip(int, int) - Method in class it.univr.GameOfLife.Core
-
This method is used for adding a Ship into game grid.
- addToad(int, int) - Method in class it.univr.GameOfLife.Core
-
This method is used for adding a Toad into game grid.
- array - Variable in class it.univr.GameOfLife.GenThreadsCasualArray
-
Instantiates a new game boolean array.
- array - Variable in class it.univr.GameOfLife.Griglia
-
Instantiates the main game boolean array.
- arrayToCell(boolean[][]) - Method in class it.univr.GameOfLife.Core
-
This method transforms an array of boolean into an array of cells.
- assegnaMenu() - Method in class it.univr.GameOfLife.Finestra
-
Creates ActionListener and sets it on every button and menu item


After installing Node and VSCode, we can start a New Project in VSCode and write our first program, so we create a new file. We have to give the .js extension to the file so the editor knows it's a JavaScript file. Now we write the following code:
console.log('Hello World');
After saving the file, we are ready to run our first program.
First we make sure that Node was properly installed.
We enter node -v
into VSCode's terminal:
Which should give us the version of Node installed: v14.15.1
In which case we are good to go. So now by executing the command node app.js
we get the following result:
Hello World
JavaScript variables are containers for storing data values. Before 2015, using the var
keyword was the only way to declare a JavaScript variable.
The 2015 version of JavaScript (ES6) allows the use of the const
keyword to define a variable that cannot be reassigned,
and the let
keyword to define a variable with restricted scope(block scope). JavaScript variables can hold numbers like 100, strings like "John Doe
and many more types of data, like undefined, null or boolean. Strings are written inside double or single quotes. Numbers are written without quotes.
If you put a number in quotes, it will be treated as a text string.
Below is an example of variable declaration:
let pi = 3.14;
let person = "John Doe";
let answer = 'Yes I am!';
const firstName = "Walter";
const lastName = "White";
const year = "2020";
const number = 1;
We can use these variable for different operations. With string literals we can format a string exactly how we want it. For example this line of code:
console.log(`My first name is ${firstName} and my last name is ${lastName}`);
Will log My first name is Walter and my last name is White
on the console. And the following line of code:
console.log(+ year + number);
will first cast the string year
into a number, make the addition and log the result as 2021
.
With strings we can perform many kinds of operations. For example these lines of code:
const anotherNumberOne = "1.10";
const anotherNumberTwo = "2.30";
console.log((+numberOne + +numberTwo).toFixed(2));
will first cast the strings anotherNumberOne
and anotherNumberTwo
into numbers, make the addition and log the result with 2 decimal points as 3.40
.
const letters = "abc";
console.log(letters.indexOf('c'));
The above lines of code will log the index of the letter 'c' in the string, giving us 2
.
console.log(fact.replace('b','B'));
And this one would substitute the lowercase 'b' with an uppercase 'B' logging aBc
on the console.
JavaScript objects are containers for named values called properties or methods. The values are written as key:value pairs (key and value separated by a colon).
We can define (and create) a JavaScript object with an object literal { }
:
let person = {
firstName: "John",
lastName: "Doe",
age: 50,
eyeColor: "blue"
};
We can access the onject properties in 2 ways, with the .
operator or using square brackets [ ]
:
person.lastName;
person["lastName"];
As with other programming languages, objects can also contain functions:
let person = {
firstName: "John",
lastName : "Doe",
id : 5566,
fullName : function() {
return this.firstName + " " + this.lastName;
}
};
We can also add or remove properties at will:
const thisSong = {"description": "The best song in the world."};
delete thisSong.description;
thisSong.about = "Just a tribute.";
console.log(thisSong);
The above lines of code will remove the "description"
property and add a new "about"
property to the thisSong object.
JavaScript arrays are used to store multiple values in a single variable and we can access the values by referring to an index number. Using an array literal is the easiest way to create a JavaScript Array:
let cars = ["Saab", "Volvo", "BMW"];
let name = cars[1];
console.log(name);
The above code creates an array with car names, then retrieves the item at index 1 and logs it on the console.
We can change a value in an array:
cars[0] = "Opel";
The real strength of JavaScript arrays are the built-in array properties and methods:
let length = cars.length; // The length property returns the number of elements
let sorted = cars.sort(); // The sort() method sorts arrays
The difference between arrays and objects is that arrays use numbered indexes, while objects use named indexes.
Loops are handy, if you want to run the same code over and over again, each time with a different value. Often this is the case when working with arrays:
for (i = 0; i < cars.length; i++) {
console.log(cars[i]);
}
The above code will log all the cars in the array on the console.
Arrow function is one of the features introduced in the ES6 version of JavaScript. It allows you to create functions in a cleaner way compared to regular functions. For example, this function:
// function expression
let x = function(x, y) {
return x * y;
}
can be written as:
// using arrow functions
let x = (x, y) => x * y;
using an arrow function.


{% load static %}
24 deg. Discharge was carried out using a 0.05Hz square wave loading profile of 4A amplitude and 50% duty cycle
24 deg. Discharge was carried out using a 0.05Hz square wave loading profile of 4A amplitude and 50% duty cycle
24 deg. Discharge was carried out using a 0.05Hz square wave loading profile of 4A amplitude and 50% duty cycle
24 deg. Discharge was carried out using a 0.05Hz square wave loading profile of 4A amplitude and 50% duty cycle
Temp.: 43 deg. Discharge_current: 4A
Temp.: 43 deg. Discharge_current: 4A
Temp.: 43 deg. Discharge_current: 4A
Temp.: 43 deg. Discharge_current: 4A
Temp.: 24 deg. Discharge_current: 4A
Temp.: 24 deg. Discharge_current: 4A
Temp.: 24 deg. Discharge_current: 4A
Temp.: 24&44 deg. Discharge_current: (1, 2, and 4 A)
Temp.: 24&44 deg. Discharge_current: (1, 2, and 4 A)
Temp.: 24&44 deg. Discharge_current: (1, 2, and 4 A)
Temp.: 4 deg. Discharge_current: (4 and 1 A)