21 Estimating a Population Proportion
We’ve focused on creating statistical inferences about a population mean, or difference between means, where we care about a quantitative outcome. Now, we’ll tackle categorical outcomes, by estimating a confidence interval around a population proportion.
21.1 Loading the Source Code for Love-boost.R
source("data/Love-boost.R")
We’ll use this for the SAIFS confidence intervals we’ll build shortly.
21.2 A First Example: Serum Zinc in the “Normal” Range?
Recall that in the serum zinc study, we have 462 teenage male subjects, of whom 395 (or 85.5%) fell in the “normal range” of 66 to 110 micrograms per deciliter.
serzinc <- read_csv("data/serzinc.csv",
show_col_types = FALSE)
serzinc <- serzinc %>%
mutate(in_range = ifelse(zinc >= 66 & zinc <= 110, 1, 0))
serzinc %>% tabyl(in_range) %>%
adorn_totals() %>% adorn_pct_formatting()
in_range n percent
0 67 14.5%
1 395 85.5%
Total 462 100.0%
Previously, we estimated a confidence interval for the mean of the population zinc levels. Now, we want to estimate a confidence interval for the proportion of the population whose serum zinc levels are in the range of 66 to 110. We want to build both a point estimate for the population proportion, and a confidence interval for the population proportion.
Now, let’s identify a 95% confidence interval for the proportion of the population whose zinc levels are within the “normal” range. We have seen that 395 / 462 subjects (or a proportion of 0.855) fall in the “normal range” in our sample. For now, that will also be our point estimate of the proportion in the “normal range” across the entire population of teenagers like those in our sample.
serzinc <- serzinc %>%
mutate(in_range = ifelse(zinc > 65 & zinc < 111, 1, 0))
serzinc %>% tabyl(in_range)
in_range n percent
0 67 0.1450216
1 395 0.8549784
Once we’ve created this 0-1 variable, there are several available approaches for wrapping a confidence interval around this proportion.
21.2.1 Using an Intercept-Only Regression Again?
We might consider taking the same approach as we did with the population mean earlier:
model_zincprop <- lm(in_range ~ 1, data = serzinc)
tidy(model_zincprop, conf.int = TRUE, conf = 0.90) %>%
knitr::kable(digits = 3)
| term | estimate | std.error | statistic | p.value | conf.low | conf.high |
|---|---|---|---|---|---|---|
| (Intercept) | 0.855 | 0.016 | 52.133 | 0 | 0.828 | 0.882 |
While there are more powerful approaches to estimate a confidence interval around this proportion, this simple approach turns out not to be too bad, so long as the sample proportion isn’t very close to either 0 or 1.
21.2.2 A 100(1-\(\alpha\))% Confidence Interval for a Population Proportion
Suppose we want to estimate a confidence interval for an unknown population proportion, \(\pi\), on the basis of a random sample of n observations from that population which yields a sample proportion of p. Note that this p is the sample proportion – it’s not a p value.
- In our serum zinc example, we have n = 462 observations, with a sample proportion (“in range”) of p = 0.855.
A 100(1-\(\alpha\))% confidence interval for the population proportion \(\pi\) can be created by using the standard normal distribution, the sample proportion, p, and the standard error of a sample proportion, which is defined as the square root of p multiplied by (1-p) divided by the sample size, n.
- So the standard error is estimated in our serum zinc example as:
\[ \sqrt{\frac{p (1-p)}{n}} = \sqrt{\frac{0.855(1-0.855)}{462}} = \sqrt{0.000268} = 0.016 \]
And thus, our confidence interval is \(p \pm Z_{\alpha/2} \sqrt{\frac{p(1-p)}{n}}\)
where \(Z_{\alpha/2}\) = the value from a standard Normal distribution cutting off the top \(\alpha/2\) of the distribution, obtained in R by substituting the desired \(\alpha/2\) value into the following command: qnorm(alpha/2, lower.tail=FALSE)
.
Note: This interval is reasonably accurate so long as np and n(1-p) are each at least 5.
For the serum zinc data, we have np = (462)(0.855) = 395 and n(1-p) = 462(1 - 0.855) = 67, so this should be ok.
For \(\alpha\) = 0.05, we have \(Z_{\alpha/2}\) = 1.96, approximately.
qnorm(0.025, lower.tail = FALSE)
[1] 1.959964
- Thus, for the serum zinc estimate, this confidence interval would be:
\[ p \pm Z_{\alpha/2} \sqrt{\frac{p(1-p)}{n}} = \frac{395}{462} \pm 1.96 \sqrt{\frac{0.855(1-0.855)}{462}} = 0.855 \pm 0.032 \]
or (0.823, 0.887).
21.3 Using binom.test
from the mosaic
package
I am aware of at least seven different procedures for estimating a confidence interval for a population proportion using R. All have minor weaknesses: none is importantly different from the others in many practical situations. Five of these methods are available using the binom.test
function from the mosaic
package in R.
The general format for using the binom.test
function is as follows:
mosaic::binom.test(x = 395, # substitute in number of successes
n = 462, # substitute in number of trials
conf.level = 0.95, # default confidence level
p = 0.5, # default null hypothesis proportion
ci.method = "XXX") # see below for XXX options
where the appropriate ci.method
is obtained from the table below.
| Approach |
ci.method to be used |
|---|---|
| Wald | “Wald” |
| Clopper-Pearson | “Clopper-Pearson” or “binom.test” |
| Score | “Score” or “prop.test” |
| Agresti-Coull | “agresti-coull” |
| Plus4 | “plus4” |
21.3.1 The Wald test approach
The Wald approach can be used to establish a very similar confidence interval to the one we calculated above, based on something called the Wald test.
Here, we specify the x
and n
values. n
is the total number of observations, and x
is the number where the event of interest (in this case, serum zinc levels in the normal range) occurs. So x
= 395 and n
= 462.
m_wald <- mosaic::binom.test(x = 395, n = 462,
conf.level = 0.95,
ci.method = "Wald")
m_wald
Exact binomial test (Wald CI)
data: 395 out of 462
number of successes = 395, number of trials = 462,
p-value < 2.2e-16
alternative hypothesis: true probability of success is not equal to 0.5
95 percent confidence interval:
0.8228698 0.8870869
sample estimates:
probability of success
0.8549784
The Wald confidence interval is always symmetric around our point estimate, and can dip below 0 or above 1.
When I fit intervals using the approaches in mosaic::binom_test()
I will usually tidy them.
| estimate | conf.low | conf.high | statistic | parameter |
|---|---|---|---|---|
| 0.855 | 0.823 | 0.887 | 395 | 462 |
The other elements of the tidied result are shown below.
# A tibble: 1 x 3
method alternative p.value
<chr> <chr> <dbl>
1 Exact binomial test (Wald CI) two.sided 1.23e-57
21.3.2 The Clopper-Pearson approach
The binom.test
command can be used to establish an “exact” confidence interval. This uses the method of Clopper and Pearson from 1934, and is exact in the sense that it guarantees, for instance, that the confidence level associated with the interval is at least as large as the nominal level of 95%, but not that the interval isn’t wider than perhaps it needs to be.
m_clopper <- mosaic::binom.test(x = 395, n = 462,
conf.level = 0.95,
ci.method = "Clopper-Pearson")
m_clopper
data: 395 out of 462
number of successes = 395, number of trials = 462,
p-value < 2.2e-16
alternative hypothesis: true probability of success is not equal to 0.5
95 percent confidence interval:
0.8195187 0.8858100
sample estimates:
probability of success
0.8549784
Clopper-Pearson is used by stats::binom.test()
in R as well. Again, it guarantees coverage at least as large as the nominal coverage rate, but may produce wider intervals than the other methods we’ll see. The 95% confidence interval by this method is (0.820, 0.886), which is in the same general range as our previous estimates.
tidy(m_clopper) %>%
select(estimate, conf.low, conf.high, statistic, parameter) %>%
kable(digits = 3)
| estimate | conf.low | conf.high | statistic | parameter |
|---|---|---|---|---|
| 0.855 | 0.82 | 0.886 | 395 | 462 |
21.3.3 The Score approach
m_score <- mosaic::binom.test(x = 395, n = 462,
conf.level = 0.95,
ci.method = "Score")
m_score
Exact binomial test (Score CI without continuity
correction)
data: 395 out of 462
number of successes = 395, number of trials = 462,
p-value < 2.2e-16
alternative hypothesis: true probability of success is not equal to 0.5
95 percent confidence interval:
0.8199415 0.8841607
sample estimates:
probability of success
0.8549784
The Score approach is also used by stats::prop.test()
and creates CIs by inverting p-values from score tests. It can be applied with a continuity correction (use ci.method
= “prop.test”) or without.
In this case, we see that the Score approach and the Clopper-Pearson approach give very similar results.
| estimate | conf.low | conf.high | statistic | parameter |
|---|---|---|---|---|
| 0.855 | 0.82 | 0.884 | 395 | 462 |
As mentioned, the score test can also be run incorporating something called a continuity correction, since we are using a Normal approximation to the exact binomial distribution to establish our margin for error. R, by default, includes this continuity correction for the Score test when we use prop.test
to collect it.
m_score_cor <- mosaic::binom.test(x = 395, n = 462,
conf.level = 0.95,
ci.method = "prop.test")
m_score_cor
Exact binomial test (Score CI with continuity
correction)
data: 395 out of 462
number of successes = 395, number of trials = 462,
p-value < 2.2e-16
alternative hypothesis: true probability of success is not equal to 0.5
95 percent confidence interval:
0.8187706 0.8851359
sample estimates:
probability of success
0.8549784
tidy(m_score_cor) %>%
select(estimate, conf.low, conf.high, statistic, parameter) %>%
kable(digits = 3)
| estimate | conf.low | conf.high | statistic | parameter |
|---|---|---|---|---|
| 0.855 | 0.819 | 0.885 | 395 | 462 |
21.3.4 The Agresti-Coull Approach
m_agresti <- mosaic::binom.test(x = 395, n = 462,
conf.level = 0.95,
ci.method = "agresti-coull")
m_agresti
Exact binomial test (Agresti-Coull CI)
data: 395 out of 462
number of successes = 395, number of trials = 462,
p-value < 2.2e-16
alternative hypothesis: true probability of success is not equal to 0.5
95 percent confidence interval:
0.8198094 0.8842928
sample estimates:
probability of success
0.8549784
The Agresti-Coull approach is the Wald method after adding Z successes and Z failures to the data, where Z is the appropriate quantile for a standard Normal distribution (1.96 for a 95% CI).
tidy(m_agresti) %>%
select(estimate, conf.low, conf.high, statistic, parameter) %>%
kable(digits = 3)
| estimate | conf.low | conf.high | statistic | parameter |
|---|---|---|---|---|
| 0.855 | 0.82 | 0.884 | 395 | 462 |
21.3.5 The “Plus 4” approach
This approach is just the Wald method after adding 2 successes and 2 failures (so 4 observations) to the data. It will be very similar to the Agresti-Coull method if we are working with a 95% confidence interval.
m_plus4 <- mosaic::binom.test(x = 395, n = 462,
conf.level = 0.95,
ci.method = "plus4")
m_plus4
Exact binomial test (Plus 4 CI)
data: 395 out of 462
number of successes = 395, number of trials = 462,
p-value < 2.2e-16
alternative hypothesis: true probability of success is not equal to 0.5
95 percent confidence interval:
0.8196844 0.8841783
sample estimates:
probability of success
0.8549784
| estimate | conf.low | conf.high | statistic | parameter |
|---|---|---|---|---|
| 0.855 | 0.82 | 0.884 | 395 | 462 |
21.3.6 SAIFS: single augmentation with an imaginary failure or success
SAIFS stands for “single augmentation with an imaginary failure or success” and the method I’ll describe is one of several similar approaches. The next subsection describes the R code for calculating the relevant confidence interval.
An approach I like for the estimation of a confidence interval for a single population proportion/rate is to estimate the lower bound of a confidence interval with an imaginary failure added to the observed data, and estimate the upper bound of a confidence interval with an imaginary success added to the data.
Suppose we have X successes in n trials, and we want to establish a confidence interval for the population proportion of successes.
Let \(p_1 = (X+0)/(n+1), p_2 = (X+1)/(n+1), q_1 = 1 - p_1, q_2 = 1 - p_2\)
The lower bound of a 100(1-\(\alpha\))% confidence interval for the population proportion of successes using the SAIFS procedure is then \(LB_{SAIFS}(x,n,\alpha) = p_1 - t_{\alpha/2, n-1}\sqrt{\frac{p_1 q_1}{n}}\)
The upper bound of that same 100(1-\(\alpha\))% confidence interval for the population proportion of successes using the SAIFS procedure is \(UB_{SAIFS}(x,n,\alpha) = p_2 + t_{\alpha/2, n-1}\sqrt{\frac{p_2 q_2}{n}}\)
Returning to the serum zinc example, we’ve got 395 “successes” (value in the normal range) out of 462 “trials” (values measured), so that X = 395 and n = 462
So we have \(p_1 = \frac{X + 0}{n + 1} = \frac{395}{463} = 0.8531\), \(p_2 = \frac{X + 1}{n + 1} = \frac{396}{463} = 0.8553\), and \(q_1 = 1 - p_1 = 0.1469\) and \(q_2 = 1 - p_2 = 0.1447\)
We have \(n = 462\) so if we want a 95% confidence interval (\(\alpha = 0.05\)), then we have \(t_{\alpha/2, n-1} = t_{0.025, 461} = 1.9651\), which I determined using R’s qt
function:
qt(0.025, df = 461, lower.tail=FALSE)
[1] 1.965123
- Thus, our lower bound for a 95% confidence interval is \(p_1 - t_{\alpha/2, n-1}\sqrt{\frac{p_1 q_1}{n}}\), or \(0.8531 - 1.9651 \sqrt{\frac{0.8531(0.1469)}{462}}\), which is 0.8531 - 0.0324 or 0.8207.
- Our upper bound is \(p_2 + t_{\alpha/2, n-1}\sqrt{\frac{p_2 q_2}{n}}\), or \(0.8553 - 1.9651 \sqrt{\frac{0.8553(0.1447)}{462}}\), which is 0.8553 + 0.0323, or 0.8876.
So the 95% SAIFS confidence interval estimate for the population proportion, \(\pi\), of teenage males whose serum zinc levels fall within the “normal range” is (0.821, 0.888).
21.3.7 A Function in R to Calculate the SAIFS Confidence Interval
I built an R function, called saifs.ci
and contained in the Markdown for this document as well as the Love-boost.R
script on the web site, which takes as its arguments a value for X = the number of successes, n = the number of trials, and conf.level = the confidence level, and produces the sample proportion, the SAIFS lower bound and upper bound for the specified two-sided confidence interval for the population proportion, using the equations above.
Here, for instance, are 95%, 90% and 99% confidence intervals for the population proportion \(\pi\) that we have been studying in the serum zinc data.
saifs.ci(x = 395, n = 462)
Sample Proportion 0.025 0.975
0.855 0.821 0.887
saifs.ci(x = 395, n = 462, conf=0.9)
Sample Proportion 0.05 0.95
0.855 0.826 0.882
saifs.ci(x = 395, n = 462, conf=0.99, dig=5)
Sample Proportion 0.005 0.995
0.85498 0.81054 0.89763
Note that in the final interval, I asked the machine to round to five digits rather than the default of three. On my desktop (and probably yours), doing so results in this output:
Sample Proportion 0.005 0.995
0.85498 0.81054 0.89763
I’ve got some setting wrong in my bookdown
work so that this doesn’t show up above when the function is called. Sorry!
21.3.8 The saifs.ci
function in R
`saifs.ci` <-
function(x, n, conf.level=0.95, dig=3)
{
p.sample <- round(x/n, digits=dig)
p1 <- x / (n+1)
p2 <- (x+1) / (n+1)
var1 <- (p1*(1-p1))/n
se1 <- sqrt(var1)
var2 <- (p2*(1-p2))/n
se2 <- sqrt(var2)
lowq = (1 - conf.level)/2
tcut <- qt(lowq, df=n-1, lower.tail=FALSE)
lower.bound <- round(p1 - tcut*se1, digits=dig)
upper.bound <- round(p2 + tcut*se2, digits=dig)
res <- c(p.sample, lower.bound, upper.bound)
names(res) <- c('Sample Proportion',lowq, 1-lowq)
res
}
21.4 A Second Example: Ebola Mortality Rates through 9 Months of the Epidemic
The World Health Organization’s Ebola Response Team published an article in the October 16, 2014 issue of the New England Journal of Medicine, which contained some data I will use in this example, focusing on materials from their Table 2.
As of September 14, 2014, a total of 4,507 confirmed and probable cases of Ebola virus disease (EVD) had been reported from West Africa. In our example, we will look at a set of 1,737 cases, with definitive outcomes, reported in Guinea, Liberia, Nigeria and Sierra Leone.
Across these 1,737 cases, a total of 1,229 cases led to death. Based on these sample data, what can be said about the case fatality rate in the population of EVD cases with definitive outcomes for this epidemic?
21.4.1 Working through the Ebola Virus Disease Example
We have n = 1,737 subjects, of whom we observed death in 1,229, for a sample proportion of \(p = \frac{1229}{1737} = 0.708\). The standard error of that sample proportion will be
\(SE(p) = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.708(1-0.708)}{1737}} = 0.011\)
And our 95% confidence interval (so that we’ll use \(\alpha\) = 0.05) for the true population proportion, \(\pi\), of EVD cases with definitive outcomes, who will die is \(p \pm Z_{.025} \sqrt{\frac{p(1-p)}{n}}\), or 0.708 \(\pm\) 1.96(0.011) = \(0.708 \pm 0.022\), or (0.686, 0.730)
Note that I simply recalled from our prior work that \(Z_{0.025} = 1.96\), but we can verify this:
qnorm(0.025, lower.tail=FALSE)
[1] 1.959964
Since both np=(1737)(0.708)=1230 and n(1-p)=(1737)(1-0.708)=507 are substantially greater than 5, this should be a reasonably accurate confidence interval.
We have 95% confidence in an interval estimate for the true population proportion that falls between 0.686 and 0.730. Equivalently, we could say that we’re 95% confident that the true case fatality rate expressed as a percentage rather than a proportion, is between 68.6% and 73.0%.
21.4.2 Using R to estimate the CI for our Ebola example
ebola_wald <- mosaic::binom.test(x = 1229, n = 1737, conf.level = 0.95,
ci.method = "Wald") %>%
tidy() %>% select(estimate, conf.low, conf.high)
ebola_clop <- mosaic::binom.test(x = 1229, n = 1737, conf.level = 0.95,
ci.method = "Clopper-Pearson") %>%
tidy() %>% select(estimate, conf.low, conf.high)
ebola_scor <- mosaic::binom.test(x = 1229, n = 1737, conf.level = 0.95,
ci.method = "Score") %>%
tidy() %>% select(estimate, conf.low, conf.high)
ebola_agco <- mosaic::binom.test(x = 1229, n = 1737, conf.level = 0.95,
ci.method = "agresti-coull") %>%
tidy() %>% select(estimate, conf.low, conf.high)
ebola_plus <- mosaic::binom.test(x = 1229, n = 1737, conf.level = 0.95,
ci.method = "plus4") %>%
tidy() %>% select(estimate, conf.low, conf.high)
ebola_res <- bind_rows(ebola_wald, ebola_clop, ebola_scor,
ebola_agco, ebola_plus) %>%
mutate(approach = c("Wald", "Clopper-Pearson", "Score",
"Agresti-Coull", "Plus4"))
ebola_res %>% kable(digits = 6)
| estimate | conf.low | conf.high | approach |
|---|---|---|---|
| 0.707542 | 0.686150 | 0.728934 | Wald |
| 0.707542 | 0.685524 | 0.728856 | Clopper-Pearson |
| 0.707542 | 0.685710 | 0.728457 | Score |
| 0.707542 | 0.685705 | 0.728462 | Agresti-Coull |
| 0.707542 | 0.685687 | 0.728443 | Plus4 |
This is way more precision than we can really justify, but I just want you to see that the five results are all (slightly) different.
21.4.3 Plotting the Confidence Intervals for the Ebola Virus Disease Example
ggplot(ebola_res, aes(x = approach, y = estimate)) +
geom_point() +
geom_errorbar(aes(ymin = conf.low, ymax = conf.high)) +
coord_flip() +
labs(title = "95% CIs for x = 1229, n = 1737")
So in this case, it really doesn’t matter which one you choose. With a smaller sample, we may not come to the same conclusion about the relative merits of these different approaches.
21.5 Can the Choice of Confidence Interval Method Matter?
Yes. This will especially be the case when we have a small sample size, and a probability of “success” that is close to either 0 or 1. For instance, suppose we run 10 trials, and obtain a single success, then use these data to estimate the true proportion of success, \(\pi\).
The 90% confidence intervals under this circumstance are very different.
tidy1 <- mosaic::binom.test(x = 1, n = 10, conf.level = 0.90,
ci.method = "Wald") %>% tidy()
tidy2 <- mosaic::binom.test(x = 1, n = 10, conf.level = 0.90,
ci.method = "Clopper-Pearson") %>% tidy()
tidy3 <- mosaic::binom.test(x = 1, n = 10, conf.level = 0.90,
ci.method = "Score") %>% tidy()
tidy4 <- mosaic::binom.test(x = 1, n = 10, conf.level = 0.90,
ci.method = "agresti-coull") %>% tidy()
tidy5 <- mosaic::binom.test(x = 1, n = 10, conf.level = 0.90,
ci.method = "plus4") %>% tidy()
res <- bind_rows(tidy1, tidy2, tidy3, tidy4, tidy5) %>%
mutate(approach = c("Wald", "Clopper-Pearson", "Score",
"Agresti-Coull", "Plus4")) %>%
select(approach, estimate, conf.low, conf.high)
res %>% kable(digits = 3)
| approach | estimate | conf.low | conf.high |
|---|---|---|---|
| Wald | 0.1 | -0.056 | 0.256 |
| Clopper-Pearson | 0.1 | 0.005 | 0.394 |
| Score | 0.1 | 0.023 | 0.348 |
| Agresti-Coull | 0.1 | 0.006 | 0.364 |
| Plus4 | 0.1 | 0.034 | 0.395 |
Note that the Wald procedure doesn’t force the confidence interval to appear in the (0, 1) range.
None of these three approaches is always better than any of the others. When we have a sample size below 100, or the sample proportion of success is either below 0.10 or above 0.90, caution is warranted, although in many cases, the various methods give similar responses.


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Unless you’ve been living under a rock for the last few years (which, if you have, fair play to you, 2020 isn’t really shaping up to be the best as far as years go) – chances are that you’ve heard the term ‘company values.’ Just do a Google search and you will find literally thousands of articles stating the importance of core company values - how they help shape culture, how they help people understand your company, how they help improve communication – the list is endless.
Company values act as guidelines - a framework for decision making - and while they’ve always been important, one could perhaps make a case for how crucial they are especially during challenging times – such as the current pandemic. Almost overnight, thousands of companies were forced to make decisions that would have long-term impacts on their business. One of the most important things to guide such decisions are the company values. However, funnily enough, it is during challenging times that values are most overlooked.
Every company has values, but there are one too many examples of companies that tout values that they don’t practice – this is true for even when the company’s doing great and the world isn’t ending. Too often, values tend to become mere words that no longer hold much meaning. The entire point of values, however, is that they must be actionable, and most importantly, that they hold one accountable.
At TerminusDB, it’s taken us a while to put our values out to the world. We took a long, hard look at how we’ve worked over the years, how we want to continue to work, the culture that we’ve created, the people we’ve brought together, and the kind of community we’ve been trying so hard to build. Values aren’t arrived at easily, they take time and go through many iterations – much like with any product – but we do believe that the TerminusDB values espouse who we are as a company, a team, and more importantly, a community.
We have 3 values – it is after all the magic number! – they are:
Purpose in Unity
At TerminusDB, we believe that we can truly find and have purpose when we are united. This value was inspired by Asabiyya - a concept popularised in the 14th century by Ibn Khaldun inMuqaddimah. Asabiyya is described as the fundamental bond of human society and the basic motive force of history - a bond of cohesion among humans in a group forming community. As time passed, Asabiyya became synonymous with or analogous to social solidarity (read, unity), with particular emphasis on group consciousness, sense of shared purpose, and social cohesion. It is said that Asabiyya is forged in the face of common challenges and collective suffering. TerminusDB has been a nine year labour of love – with suffering and challenges aplenty! We could not have delivered our vision in the absence of unity.
Great ideas and products are not born in isolation, but in togetherness. We are ever grateful to our team and our community and hope to continue to find purpose in unity.
Open Source
TerminusDB is open source now and forever. There are many commercial database companies that provide an open source version of their software in addition to a more fully-featured commercial enterprise version. We don’t believe this is viable. There are very few examples of companies having successfully built a real community by releasing a watered-down community version of their commercial product.
Our aim is to build an inclusive, diverse, and genuinely successful open source community – a crucial part of this is giving away our fully featured and complete database engine – there will be no enterprise version – a truly open core model.
We created and continue to improve TerminusDB to make the life of anybody who cares about data easier. Join us on this journey as a user, contributor or enthusiast – or just a friend and supporter! TerminusDB is for everyone; we’re all about love, not money. Come be a part of the best, friendliest and most inclusive Terminator community
Systems Thinking
This value is inspired by Tektology - a term used by Alexander Bogdanov to describe a discipline that consisted of unifying all social, biological and physical sciences by considering them as systems of relationships.
At TerminusDB, we think it’s important to develop a systems mindset to solve complex problems and continue to create together. This involves a shift in thought from linear to circular, i.e., a recognition that everything is interconnected. There is an emphasis on the whole as opposed to parts, on unity as opposed to isolation – which coincidentally (or maybe not!) are also the very foundations of Asabiyya or Purpose in Unity, and Open Source.
--
While they have only recently been put to paper, these values have always been essential to who we are and how we work, and they will continue to shape TerminusDB’s future. They’ve served us well so far, and we think we’ve done them justice too – our work, our team and our Terminator community speaks for that. As always, we’d love to hear your feedback and suggestions, so feel free to pop in and say hi on our Discord server!
Obsessed about HR and Administration - Making the trains run on time


In the year on 1993 release of Mosaic and other web browsers gave the computer users WWW (World Wide Web).The internet use increased as a result the interest rate decreased and the availability of capital increased. The percentage of household in US owning computers increased drastically as the ownership changed from luxury to necessity. As the result of the two factors, many investors were eager to invest in any Dot-Com company.The two companies Amazon.com and eBay were biggest revolutionary companies that came forward in 1990’s. Earlier the Industrial Revolution corporations were based on the power of the executives whereas the average consumer was not considered that much. But Amazon and eBay introduced new business model based on internet and targeting the mass of the individuals of the average customers.
Amazon.com was started in suburban Seattle and if owned by the richest in the world Jeff Bezos. Jeff Bezos was working at Wall Street in a variety of fields. He was highly analytical. After the introduction of web Jeff started analysing the potential of the World Wide Web. Jeff started looking for thing he can sell in internet but on the top of the list he always preferred books. On the other hand in Silicon Valley another person named “Pierre Omidyar” (CEO eBay) who was a software programmer. The common thing in Pierre and Jeff was they took internet as a place of to do business. But they both were very different, Jeff was all about business plan analysing the market whereas Pierre had no clue about the market trend and was just a software coder.
The major success came to both the sites within months of the launch. eBay was earning thousands of dollars in fees. Within first month of Amazon, they shipped to 45 countries and all the states in US. The tremendous development of the companies was noticed by Wall Street. The increase in internet was defined by two laws Moore’s law and Metcalfe’s law. Both of the laws state the similar outputs, as the number of users’ increases the usefulness of network increases.
A breakthrough technology creates scads of risky start-ups and investors rush in to buy a piece of the company. The internet cycle started in 1995 when Netscape launched it very successful initial public offering on the stock market. After a year IPO’s and search engine companies came in. Amazon also participated in Bubble hood in May 1997. Jeff Bezos self-claimed the world’s biggest online bookstore created hype and got people started talking about the future of the company. Jeff Bezos had a strategy “Get Big Fast”.
The day traders started making the stock market look like a low rent casino. The day traders are the people who buy stocks in the morning and sell then in the evening before the market close. The day trader invested a lot of time analysing market lurking in internet stock chartrooms, but most of the time they use TV for the information on the stocks.
With increase in the value of Amazon and eBay, many new companies were started with not so good business plan. Companies like pet calm, pet smart, pet utopia etc., and these company got bankrupt soon. Apart from ecommerce telecommunication was booming as the growth on internet grew to maintain the need of bandwidth. In 2000 Naqdaq fell 355 in which index was fallen 25% the highest drop in the history on trade market. After 9/11 many of the tech giants lost a large part of their profits. But few of the companies survived the drop and came out strong Amazon, eBay are the two of the biggest and the strongest.


{% extends '_base.html' %}
{% import "bootstrap/wtf.html" as wtf %}
{% block content %}
Vendors
| Id | Company | Contact | Phone | Address | City | State | Zipcode | Actions |
|---|---|---|---|---|---|---|---|---|
| {{ entry.id }} | {% if entry.website: %} {{ entry.name|safe }} | {% else %} {{ entry.name|safe }} {% endif %}{{ entry.contact|safe }} | {{ entry.phone|safe }} |
{{ entry.address.line1|safe }} {{ entry.address.line2|safe }} |
{{ entry.address.city|safe }} | {{ entry.address.state|safe }} | {{ entry.address.zipcode|safe }} | Create PO | Edit |


NAME
fig2dev - translates Fig code to various graphics languages
SYNOPSIS
fig2dev -L language [ -m mag ] [ -f font ] [ -s fsize ] [
other options ] [ fig-file [ out-file ] ]
DESCRIPTION
Fig2dev translates fig code in the named fig-file into the
specified graphics language and puts them in out-file. The
default fig-file and out-file are standard input and stan-
dard output, respectively
Fig (Facility for Interactive Generation of figures) is a
screen-oriented tool which allows the user to draw and mani-
pulate objects interactively. Various versions of Fig run
under the Suntools/Sunview window environment and under ver-
sion 11 of the X Windows System. Fig2dev is compatible with
Fig versions 1.3, 1.4, 2.0, 2.1, 3.0, 3.1 and 3.2.
OPTIONS
-L Set the output graphics language. Valid languages are
acad (AutoCad slide format), box, epic, eepic, eepi-
cemu, gif, ibmgl, jpeg, latex, mf (METAFONT), pcx, pic,
pictex, png, ppm, ps, pstex, pstex_t, textyl, tiff, tk
(tcl/tk), tpic, xbm and xpm.
Note that dvips and xdvi must be compiled with the tpic
support (-DTPIC) for epic, eepic and tpic to work.
-h Print help message with all options for all output
languages.
-m Set the magnification at which the figure is rendered
to mag. The default is 1.0.
-f Set the default font used for text objects to font. The
default is Roman; the format of this option depends on
the graphics language in use. In TeX-based languages,
the font is the base of the name given in lfonts.tex,
for instance "cmr" for Roman, or "tt" for teletype. In
PostScript, it is any font name known to the printer or
interpreter.
-s Set the default font size (in points) for text objects
to fsize. The default is 11*mag, and thus is scaled by
the -m option. If there is no scaling, the default
font is eleven point Roman."
-V Print the program version number only.
other options
The other options are specific to the choice of graph-
ics language, as described below.
EPIC OPTIONS
EPIC is an enhancement to LaTeX picture drawing environment.
It was developed by Sunil Podar of Department of Computer
Science in S.U.N.Y at Stony Brook.
EEPIC is an extension to EPIC and LaTeX picture drawing
environment which uses tpic specials as a graphics mechan-
ism. It was written by Conrad Kwok of Division of Computer
Science at University of California, Davis.
EEPIC-EMU is an EEPIC emulation package which does not use
tpic specials.
-A Scale arrowheads by factor. The width and height of
arrowheads is divided by this factor. This is because
EPIC arrowheads are normally about double the size of
TeX arrowheads.
-l Use "\thicklines" when width of the line is wider than
lwidth. The default is 2.
-v Include comments in the output file.
-P Generate a complete LaTeX file. In other words, the
output file can be formatted without requiring any
changes. The additional text inserted in the beginning
and at the end of the file is controlled by the confi-
guration parameter "Preamble" and "Postamble".
-S Set the scale to which the figure is rendered. This
option automatically sets the magnification and size to
scale / 12 and scale respectively.
-W Enable variable line width. By default, only two line
widths are available: The normal line width (hinlines),
and thick lines (hicklines), if a line width of more
than one is selected in xfig.
-w Disable variable line width. Only "\thicklines" and/or
"\thinlines" commands will be generated in the output
file.
When variable line width option is enabled, "\thinlines"
command is still used when line width is less than LineTh-
ick. One potential problem is that the width of "\thinlines"
is 0.4pt but the resolution of Fig is 1/80 inch (approx.
1pt). If LineThick is set to 2, normal lines will be drawn
in 0.4pt wide lines but the next line width is already 2pt.
One possible solution is to set LineThick to 1 and set the
width of the those lines you want to be drawn in "\thin-
lines" to 0.
Due to this problem, Variable line width VarWidth is
defaulted to be false.
IBM-GL OPTIONS
IBM-GL (International Business Machines Graphics Language)
is compatible with HP-GL (Hewlett-Packard Graphics
Language).
-a Select ISO A4 (ANSI A) paper size if the default is
ANSI A (ISO A4) paper size.
-c Generate instructions for an IBM 6180 Color Plotter
with (without) an IBM Graphics Enhancement Cartridge
(IBM-GEC).
-d Restrict plotting to a rectangular area of the plotter
paper which has a lower left hand corner at (xll,yll)
and a upper right hand corner at (xur,yur). All four
numbers are in inches and follow -d in a comma-sparated
list - xll,yll,xur,yur - with no spaces between them.
-f Load text character specifications from the table in
the fonts file. The table must have 36 entries - one
for each font plus a default. Each entry consists of 5
numbers which specify the 1.) standard character set (0
- 4, 6 - 9, 30 - 39), 2.) alternate character set (0 -
4, 6 - 9, 30 - 39), 3.) character slant angle
(degrees), 4.) character width scale factor and 5.)
character height scale factor.
-l Load area fill line patterns from the table in the pat-
terns file. The table must have 21 entries - one for
each of the area fill patterns. Each entry consists of
5 numbers which specify the 1.) pattern number (-1 -
6), 2.) pattern length (inches), 3.) fill type (1 - 5),
4.) fill spacing (inches) and 5.) fill angle (degrees).
-m The magnification may appear as the first element in a
comma separated list - mag,x0,y0 - where the second and
third parameters specify an offset in inches.
-p Load plotter pen specifications from the table in the
pens file. The table must have 9 entries - one for
each color plus a default. Each entry consists of 2
numbers which specify the 1.) pen number (1 - 8) and
2.) pen thickness (millimeters).
-P Rotate the figure to portrait mode. The default is
landscape mode.
-S Set the pen speed to speed (centimeters/second).
-v Plot the figure upside-down in portrait mode or back-
wards in landscape mode. This allows you to write on
the top surface of overhead transparencies without dis-
turbing the plotter ink on the bottom surface.
Fig2dev may be installed with either ANSI A or ISO A4
default paper size. The -a option selects the alternate
paper size. Fig2dev does not fill closed splines. The
IBM-GEC is required to fill other polygons. Fig2dev may be
installed for plotters with or without the IBM-GEC. The -c
option selects the alternate instruction set.
LATEX OPTIONS
-l Sets the threshold between LaTeX thin and thick lines
to lwidth pixels. LaTeX supports only two different
line width: \thinlines and \thicklines. Lines of width
greater than lwidth pixels are drawn as \thicklines.
Also affects the size of dots in dotted line style.
The default is 1.
-d Set a separate magnification for the length of line
dashes to dmag.
-v Verbose mode.
LaTeX cannot accurately represent all the graphics objects
which can be described by Fig. For example, the possible
slopes which lines may have are limited. Some objects, such
as spline curves, cannot be drawn at all. Fig2latex chooses
the closest possible line slope, and prints error messages
when objects cannot be drawn accurately
PIC OPTIONS
-p Enables the use of certain PIC extensions which are
known to work with the groff package; compatibility
with DWB PIC is unknown. The extensions enabled by
each option are:
arc Allow ARC_BOX i.e. use rounded corners
line Use the 'line_thickness' value
fill Allow ellipses to be filled
all Use all of the above
psfont Don't convert Postscript fonts generic type
(useful for files going to be Ditroff'ed for
and printed on PS printer). DWB-compatible.
allps Use all of the above (i.e. "all" + "psfont")
PICTEX OUTPUT
In order to include PiCTeX pictures into a document, it is
necessary to load the PiCTeX macros.
PiCTeX uses TeX integer register arithmetic to generate
curves, and so it is very slow. PiCTeX draws curves by
\put-ing the psymbol repeatedly, and so requires a large
amount of TeX's internal memory, and generates large DVI
files. The size of TeX's memory limits the number of plot
symbols in a picture. As a result, it is best to use PiCTeX
to generate small pictures.
POSTSCRIPT OPTIONS
With PostScript, Fig can be used to create large posters.
The figure will be created by printing multiple pages which
can be glued together. Simply specify the -M option to pro-
duce a multi-page output. Due to memory limitations of most
laser printers, the figure should not be too complicated.
Great for text with very big letters.
Text can now include various ISO-character codes above 0x7f,
which is useful for language specific characters to be
printed directly. Not all ISO-characters are implemented.
Color support: Colored objects created by Fig can be printed
on a color postscript printer. There are 32 standard colors:
black, yellow, white, gold, five shades of blue, four shades
of green, four shades of cyan, four shades of red, five
shades of magenta, four shades of brown, and four shades of
pink. In addition there may be user-defined colors in the
file. See the xfig FORMAT3.2 file for the definition of
these colors. On a monochrome printer, colored objects will
be mapped into different grayscales by the printer. Filled
objects are printed using the given area fill and color.
There are 21 "shades" going from black to full saturation of
the fill color, and 21 more "tints" from full saturation + 1
to white. In addition, there are 16 patterns such as
bricks, diagonal lines, crosshatch, etc.
-c option centers the figure on the page. The centering
may not be accurate if there are texts in the fig_file
that extends too far to the right of other objects.
-e option puts the figure against the edge (not centered)
of the page.
-l dummy_arg
Generate figure in landscape mode. The dummy argument
is ignored, but must appear on the command line for
reasons of compatibility. This option will override
the orientation specification in the file (for file
versions 3.0 and higher).
This option is only honored when not using the -P
option (add showpage). This is because the figure
doesn't need to be rotated when generating Encapsulated
PostScript (EPS).
-M Generate multiple pages if figure exceeds paper size.
-p dummy_arg
Generate figure in portrait mode. The dummy argument
is ignored, but must appear on the command line for
reasons of compatibility. This option will override
the orientation specification in the file (for file
versions 3.0 and higher). This is the default for Fig
files of version 2.1 or lower.
-P indicates that the figure describes a full page which
will not necessarily be inserted into a document, but
can be sent directly to a PS printer. This ensures
that a showpage command is inserted at the end of the
figure.
-n name
Set the Title part of the PostScript output to name.
This is useful when the input to fig2dev comes from
standard input.
-x offset
shift the figure in the X direction by offset units
(1/72 inch). A negative value shifts the figure to the
left and a positive value to the right.
-y offset
shift the figure in the Y direction by offset units
(1/72 inch). A negative value shifts the figure up and
a positive value down.
-z papersize
Sets the papersize. Available paper sizes are:
"Letter" (8.5" x 11" also "A"),
"Legal" (11" x 14" also "A")
"Ledger" (11" x 17"),
"Tabloid" (17" x 11", really Ledger in Landscape mode),
"A" (8.5" x 11" also "Letter"),
"B" (11" x 17" also "Ledger"),
"C" (17" x 22"),
"D" (22" x 34"),
"E" (34" x 44"),
"A4" (21 cm x 29.7cm),
"A3" (29.7cm x 42 cm),
"A2" (42 cm x 59.4cm),
"A1" (59.4cm x 84.1cm),
"A0" (84.1cm x 118.9cm),
and "B5" (18.2cm x 25.7cm).
PSTEX OPTIONS
The pstex language is a variant of ps which suppresses for-
matted (special) text. The pstex_t language has the comple-
mentary behavior: it generates only LaTeX commands necessary
to position special text, and to overlay the PostScript file
generated using pstex. These two drivers can be used to gen-
erate a figure which combines the flexibility of PostScript
graphics with LaTeX text formatting of special text.
-n name
sets the Title part of the PostScript output to name.
This is useful when the input to fig2dev comes from
standard input.
-p file
specifies the name of the PostScript file to be over-
laid. If not set or its value is null then no PS file
will be inserted.
TK OPTIONS
-l dummy_arg
Generate figure in landscape mode. The dummy argument
is ignored, but must appear on the command line for
reasons of compatibility. This option will override
the orientation specification in the file (for file
versions 3.0 and higher).
-p dummy_arg
Generate figure in portrait mode. The dummy argument
is ignored, but must appear on the command line for
reasons of compatibility. This option will override
the orientation specification in the file (for file
versions 3.0 and higher). This is the default for Fig
files of version 2.1 or lower.
-P Generate canvas of full page size instead of using the
bounding box of the figure's objects. The default is to
use only the bounding box.
-z papersize
Sets the papersize. See the POSTSCRIPT OPTIONS for
available paper sizes. This is only used when the -P
option (use full page) is used.
TEXTYL OPTIONS
There are no TeXtyl-specific options.
METAFONT OPTIONS
fig2dev scales the figure by 1/8 before generating METAFONT
code. The magnification can be further changed with the -m
option or by giving magnification options to mf.
In order to process the generated METAFONT code, the mfpic
macros must be installed where mf can find them. The mfpic
macro package is available at any CTAN cite under the sub-
directory: graphics/mfpic
-C code
specifies the starting METAFONT font code. The default
is 32.
-n name
specifies the name to use in the output file.
-p pen_magnification
specifies how much the line width should be magnified
compared to the original figure. The default is 1.
-t top
specifies the top of the whole coordinate system. The
default is ypos.
-x xneg
specifies the minimum x coordinate value of the figure
(inches). The default is 0.
-y yneg
specifies the minumum y coordinate value of the figure
(inches). The default is 0.
-X xpos
specifies the maximum x coordinate value of the figure
(inches). The default is 8.
-Y ypos
specifies the maximum y coordinate value of the figure
(inches). The default is 8.
JPEG OPTIONS
-q image_quality
use the integer value image_quality for the JPEG "Qual-
ity" factor. Valid values are 0-100.
GIF OPTIONS
-t color
Use color for the transparent color in the GIF file.
This must be specified as a six-digit hexadecimal
RGBvalue with the # sign, e.g. #ff0000 (Red).
TPIC OPTIONS
There are no tpic-specific options.
SEE ALSO
[x]fig(1), pic(1) pic2fig(1), transfig(1)
BUGS and RESTRICTIONS
Please send bug reports, fixes, new features etc. to:
<EMAIL_ADDRESS>(Brian V. Smith)
Arc-boxes are not supported for the tk output language, and
only X bitmap pictures are supported because of the canvas
limitation in tk.
Picture objects are not scaled with the magnification factor
for tk output.
Because tk scales canvas items according to the X display
resolution, polygons, lines, etc. may be scaled differently
than imported pictures (bitmaps) which aren't scaled at all.
Rotated text is only supported in the IBM-GL (HP/GL) and
PostScript (including eps) languages.
COPYRIGHT
Copyright (c) 1985 Supoj Sutantavibul
Copyright (c) 1991 Micah Beck
Permission to use, copy, modify, distribute, and sell this
software and its documentation for any purpose is hereby
granted without fee, provided that the above copyright
notice appear in all copies and that both that copyright
notice and this permission notice appear in supporting docu-
mentation. The authors make no representations about the
suitability of this software for any purpose. It is pro-
vided "as is" without express or implied warranty.

AUTHORS
Micah Beck
Cornell University
Sept 28 1990
and Frank Schmuck (then of Cornell University)
and Conrad Kwok (then of U.C. Davis).
drivers contributed by
Jose Alberto Fernandez R. (U. of Maryland)
and Gary Beihl (MCC)
Color support, ISO-character encoding and poster support by
Herbert Bauer<EMAIL_ADDRESS>Modified from f2p (fig to PIC), by the author of Fig
Supoj Sutanthavibul<EMAIL_ADDRESS>University of Texas at Austin.
MetaFont driver by
Anthony Starks<EMAIL_ADDRESS>X-splines code by
Carole Blanc<EMAIL_ADDRESS>Christophe Schlick<EMAIL_ADDRESS>The initial implementation was done by C. Feuille, S. Gro-
bois, L. Maziere and L. Minihot as a student practice
(Universite Bordeaux, France). The tk driver was written
by:
Mike Markowski<EMAIL_ADDRESS>with a little touch-up by Brian
Smith
Man(1) output converted with
man2html


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First trial connected to Ohio family slayings delayed
by EndPlayWAVERLY, Ohio (AP) - A judge has delayed what was supposed to be the first trial connected to the investigation into the 2016 slayings of eight family members in Ohio.
Prosecutors said Monday that both sides agreed to postpone the trial for Rita Newcomb just as jury selection was to begin. Officials didn't give a reason for the delay.
Newcomb isn't charged with any of the Rhoden family killings. She is accused of forgery, obstructing justice and perjury charges related to the case.
The 66-year-old is the mother of one of the four suspects in the killings. Newcomb along with those charged in the killings has pleaded not guilty.
Authorities have said after the arrests were announced a year ago that a custody dispute between two families may have been the motive.


Used bootstrap to attempt to replicate the Wikipedia homepage.
Uses the following languages and frameworks:
Built a website for a fake vacation spot with four different travel packages for practice with bootstrap. Contains 3 rows with columns as well as a jumbotron and a footer.
Uses the following languages and framework:
Built a website for a fake cupcake company for practice with CSS divs, spans, box model, and other stylings.
Uses the following languages:
If any of these projects fit the mold that you're looking for, don't hesitate to contact me. I would love to hear from you!


The ggf-panel class can be used to display notes:
If you want to be strong, learn to fight alone, If you want to be fast, learn to hunt alone - Anonymous


This is an Angular app built with Nx.
🔎 **Nx is a set of Angular CLI power-ups for modern development.**


@j_bleach
I'm a web designer from France who love Polymer-project, HTML/CSS and dogs.
Teaching is what I like, Learning is what I love.
I'm a web designer from France who love Polymer-project, HTML/CSS and dogs.
Teaching is what I like, Learning is what I love.


Checkout Sabin's fork of my original version with some 3D animations! (its slow performance, but pretty)


Dashboard Template
Argon Dashboard - v1.2.0
* Product Page: https://www.creative-tim.com/product/argon-dashboard
* Copyright 2020 Creative Tim (https://www.creative-tim.com)
* Licensed under MIT (https://github.com/creativetimofficial/argon-dashboard/blob/master/LICENSE.md)
* Coded by www.creative-tim.com


We have seen many ups and downs. A lot of good and bad time has been past us. We have grown stronger. We have seen our future apart but with happy families and that requires sticking together now.
Technology has been our college subject and one of the pillars of our bond. It has helped us to be in contact in hardest of the times. But, meeting to each other and getting feel inside us is whole lot different which is uncomparable.
We incure a sense of security with each other. We are independent but have the power to conquer the world together. Lets make our family secure and happy together to detach from each other happily.
Born to a Rajasthani family, a healthy baby girl; now, grown as an explictly strong and beautiful young girl. A burnig desire to do something good for family, she has proved to be a excellent daughter. The kind, intelligent, talented and angelic Ruchi Tanwar has the power to defy her own destiny
I want you to text me the content you want here.
We worked hard. We did everthing perfectly right to achieve the success. It was just not the day. But, it not only made our dream shatter but broke us from inside.
But we will stand strong and will win to the face of everybody who think we are losers. We will complete our dreams and such incidents can hinder but not destroy the bond between us. Let give it everything we have and emerge as winner together.
Sadness feeling is what our brain wants us to keep. Happiness is our soul's demand. Lets stop figthing among ourselves or to ourselves and become what is called the stature of SUCCESS. Let us not allow small differences among us to become so strong.


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If you fancy helping out with getting this group off the ground, please feel free to drop us a mail -all help would be greatfully received!
Sign up to our mailing list to get more info on what is going on with the group -we'll keep you up to date with upcoming talks, and advance notice of dates.
If you'd like to submit a proposal for a talk, or have any suggestions for topics you'd like to see, please add a ticket over at github.com/MKNUG/talks.


Protocal - |
x |
Host -Host name with Port number |
x |
Host Name -Host name without Port number |
x |
Port Number - |
x |
Path - |
x |
Query - |
x |
Fragment - |
x |


Given appropriate encodings of TRUE, FALSE, and IF, which one of the following definitions correctly encodes the Boolean operator OR in the λ calculus?
OR = λp.λq.(((IF p) TRUE) q)
OR = λp.λq.(((IF p) FALSE) q)
OR = λp.λq.(((IF TRUE) p) q)
OR = λp.λq.(((IF FALSE) p) q)
OR = λp.λq.(((IF TRUE) q) p)
OR = λp.λq.(((IF FALSE) q) p)
Recall that, in the chosen encoding, TRUE is a curried function of two arguments that returns its first argument.
Similarly, FALSE is a curried function of two arguments that returns its second argument.
Observe that IF is a curried function of three arguments, namely a Boolean expression, the value of the then expression, and the value of the else expression, in this order.
Pick the expression that implements the semantics of the Boolean OR using appropriate function calls in the λ calculus, given the above conventions.


Package com.mentalab
Class MentalabCodec
- java.lang.Object
-
- com.mentalab.MentalabCodec
-
public class MentalabCodec extends java.lang.Object
-
-
Field Summary
Fields Modifier and Type Field Description static java.util.Map<java.lang.String,java.util.Queue<java.lang.Float>>
decodedDataMap
-
Constructor Summary
Constructors Constructor Description MentalabCodec()
-
Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method Description static java.util.Map<java.lang.String,java.util.Queue<java.lang.Float>>
decode(java.io.InputStream stream)
Decodes a device raw data stream
-
-
-
Method Detail
-
decode
public static java.util.Map<java.lang.String,java.util.Queue<java.lang.Float>> decode(java.io.InputStream stream) throws InvalidDataException
Decodes a device raw data streamIncoming bytes from Bluetooth are converted to an immutable Map of Double Ended Queue of Float numbers. ExG channels are saved as single precision floating point numbers (Float) in the unit of mVolt. Launches one worker thread on first invocation. Currently the it provides the following data queues from Explore device: Channel1, Channel2...ChannelN where N is the maximum available numbers of channel of the device. Acc_X, Acc_Y, Acc_Z in the units of mg/LSB. Gyro_X, Gyro_Y and Gyro_Z in mdps/LSB. MAG_X, Mag_Y, Mag_Z in mgauss/LSB. To get a specific instance of the queue:
Map<String, Queue<Float>> map = MentalabCodec.decode(stream); Queue<Float> accXMap = map.get("Acc_X").poll(); Queue<Float> channel2 = map.get("Channel2").poll();
- Returns:
- Immutable Map of Queues of Numbers
- Throws:
InvalidDataException
- throws when invalid data is received
-
-


def destroy_fig(cls, fig):
"*fig* is a Figure instance"
num = None
for manager in six.itervalues(cls.figs):
if manager.canvas.figure == fig:
num = manager.num
break
@classmethod
def destroy_fig(cls, fig):
"*fig* is a Figure instance"
num = next((manager.num for manager in six.itervalues(cls.figs)
if manager.canvas.figure == fig), None)
if num is not None:
cls.destroy(num)


The RISN Incubator is a university based business incubator at Arizona State University. They focus on accelerating entrepreneurs in the early stages of waste-to-product innovation with the goal of furthering Circular Economy in Phoenix, AZ. As a part of their programming, the incubator hosts an annual hackathon around waste solutions called Trash Hack.
To accomplish this event, the team at RISN Incubator needed a simple website to host information and registration for the hackathon. In taking on this task, I created a single page website for the hackathon with a bootstrap template. The site's content was written with HTML and CSS, and some use of JavaScript. The responsive design can be viewed on desktop and mobile with the same functionality. After several revisions, a final version of the site was reached and the overall hackathon was a success!


Screen Cleaners
| Stock # | Description | Kills | Qty | Price |
|---|---|---|---|---|
| USA-PRX | ProteX | MRSA,H1N1,HIV-1 | 12 Bottles | $158.00 |
Clean & Disinfect Ultrasound and All Other equipment. Contains NO alcohol, phenol or glutaraldehyde. Safe for transducers, probes, etc. Effective bactericide, fungicide, & virucide. PreMixed, no need to add H20 to the bottle. Use after each patient. 250ml bottles; one (1) dozen bottles per case. Protex disinfectant Spray cleans and disinfects Ultrasound equipment. Safe for transducers, probes, compression plates, and other surfaces. Alcohol Free. Effective bactericide, fungicide, and virucide. Kills MRSA, H1N1, HIV, and many others. Case of 12 bottles January 28, 2020 PROTEX® DISINFECTANTS CAN BE USED AGAINST 2019 NOVEL CORONAVIRUS FAIRFIELD, New Jersey - Parker Laboratories, Inc. announces Protex® Disinfectant Spray and Protex® Ultra Disinfectant Wipes have demonstrated effectiveness against viruses similar to 2019 Novel Coronavirus (2019-nCoV) on hard, non-porous surfaces. Protex disinfectants can therefore be used against 2019 Novel Coronavirus (2019-nCoV) when used in accordance with the Directions for Use against Norovirus on hard, non-porous surfaces. Refer to the CDC website https://www.cdc.gov/coronavirus/2019-ncov/index.html for additional information.


Hamburg takes Elbe deepening one step further
Hamburg - The Elbe deepening project that will dig the way for fully-loaded mega-ships to access the Port of Hamburg goes on with the building of two new underwater storage areas
Hamburg - The Elbe deepening project that will dig the way for fully-loaded mega-ships to access the Port of Hamburg goes one step further with the building of two new underwater storage areas.
A total of around 1,200,000 tons of underwater construction stones were built into the “Medemrinne” and “Neufelder Sand” underwater deposit areas between March and October. “The biggest challenge of the project was to handle the multiple parallel handling of all ships involved in the project as well as the related pre-carriages and on-carriages,” explains the project team in a press release.
The stone mixtures were required for the completion of respective central dams within the UDAs in the Elbe estuary funnel, so that the sediment quantities excavated later could be stored there and not washed back into the Elbe or the North Sea.
From March to September 2019, the more than 1 million tons of underwater construction stones arrived in more than 40 ship arrivals from Norway and were delivered to the two underwater construction sites in two independent logistics cycles, each with three construction site ships


Class: Microsoft_WindowsAzure_Storage_Blob
Source Location: /WindowsAzure/Storage/Blob.php
Microsoft_WindowsAzure_Storage
|
--Microsoft_WindowsAzure_Storage_Blob
Author(s):
Copyright:
- Copyright (c) 2009 - 2011, RealDolmen (http://www.realdolmen.com)
|
|
|
|
Inherited Constants
|
Inherited Variables
|
Inherited Methods
|
Class Details
Class Variables
Class Methods
Class Constants
|
|


{% load static %} {% load i18n %}
[ { "model": "catalog.vulnerability", "fields": { "system": "Web Supply", "owner": "Niels Bohr", "owner_email"<EMAIL_ADDRESS>"environment": "Cloud", "perimeter": "External", "technology": "ASPX", "system_type": "Application", "vulnerability": "File structure exposed", "synopsis": "/wp-includes exposed.", "cvss_value": 4, "identification_date": "2018-01-28", "remediation_deadline": "2018-02-28", "status": "Notified" } } ]
[ { "model": "catalog.vulnerability", "fields": { "system": "Sharepoint Interno", "owner": "Niels Bohr", "owner_email"<EMAIL_ADDRESS>"environment": "Data Center", "perimeter": "Internal", "technology": "Sharepoint Microsoft", "system_type": "Application", "vulnerability": "Sensitive data exposure", "category": "Unprotected Comunication", "synopsis": "Authentication tokens transported without criptographic protection.", "cvss_value": 8, "identification_date": "2018-01-28", "reporter": "Consulting", "risk": "Medium", "observation": "User's credentials are sent in plaintext (without cryptographic protection) to the applications.", "remediation": "Server was configured to use TLS in all its communications.", "risk_acceptance_reason": "", "remediation_deadline": "2018-02-28", "status": "Notified", "report_file": "Consulting - 28.01.2018 - External Test Report - V.1.0.docx", "report_page": 19 } } ]
[ { "model": "catalog.vulnerability", "fields": { "system": "Web Supply", "owner": "Niels Bohr", "owner_email"<EMAIL_ADDRESS>"environment": "Cloud", "perimeter": "External", "technology": "ASPX", "system_type": "Application", "vulnerability": "File structure exposed", "synopsis": "/wp-includes exposed.", "cvss_value": 4, "identification_date": "2018-01-28", "remediation_deadline": "2018-02-28", "status": "Notified" } }, { "model": "catalog.vulnerability", "fields": { "system": "Sharepoint Interno", "owner": "Niels Bohr", "owner_email"<EMAIL_ADDRESS>"environment": "Data Center", "perimeter": "Internal", "technology": "Sharepoint Microsoft", "system_type": "Application", "vulnerability": "Sensitive data exposure", "category": "Unprotected Comunication", "synopsis": "Authentication tokens transported without criptographic protection.", "cvss_value": 8, "identification_date": "2018-01-28", "reporter": "Consulting", "risk": "Medium", "observation": "User's credentials are sent in plaintext (without cryptographic protection) to the applications.", "remediation": "Server was configured to use TLS in all its communications.", "risk_acceptance_reason": "", "remediation_deadline": "2018-02-28", "status": "Notified", "report_file": "Consulting - 28.01.2018 - External Test Report - V.1.0.docx", "report_page": 19 } } ]


Multi-platform observing system
“Blue Economy:
"Turning Data into Jobs...”
Image credit: MedClic
Image credit: MedClic
Image credit: MedClic
Image credit: MedClic
Who knows Github?
iOS: https://apps.apple.com/es/app/socib/id482542716
Android: https://play.google.com/store/apps/details?id=com.socib
Everybody has an API!
Different angles and speed tests
Channel bathymetry serves as a focusing lens


Here's some content!
This is a simple showcase app built with generic-components.
The goal of this project is to create a common library of generic web components, that are accessible, framework agnostic, easy to style, and easy to consume.
The components in this repo are based on WAI Aria practices.
Built with generic-components


Spatial Hypertext for End-User Development Tools
Daniel Roßner and
Claus Atzenbeck
Funded by BMBF ( German Federal Ministry of Education and Research )
Press "Esc" for a presentation map. Click here for the pdf view.
Use arrow keys to navigate or N(ext) and P(revious).
What is Spatial Hypertext?
Spatial appearance as context for nodes (with content)
Posi tio n
Co lo rs
Size
... and many more
What is End-User Development?
And which tools are used?
There are various definitions
Some refer to the skill level of a developer,
others to "development for personal use"
Examples
A layperson, in sense of programming and developing, wants to create a webpage.
Journalist, who wants to analyze some data from the web.
Tools
Tables, functions in spreadsheets
Remix of modules and content (Yahoo!Pipes)
Mashup of web pages or applications
(WebMakeup )
Screenshot of PIPES (Yahoo!Pipes clone)
What does Spatial Hypertext mean, in context of EUD tools?
User can use given space to position his modules (right). On the left side, position is fixed.
FAT arrows show explicit connections (like pipes).
Well, that's great so far , but
the application should interpret the spatial structure like a human would do
and use this information to improve the process of building an application (or whatever).
How spatial information (may) improve user experience of EUD tools
Planning and designing of "code"
Laypersons have limited knowledge about the tool they use
Fast changing requirements
Modifications must be possible, without the need of reprogramming whole parts
From a rough idea to a functional application
"What do I want to achieve? "
"Which components can help me? "
"Is there a good place to experiment? "
Context sensitive hints/suggestions
Context is a computer generated interpretation of the workspace,
that is as close as possible to that of a human
Of course, a suitable knowledge base is needed...
Theory → Practice
Example case: HEIMDALL
Part of ODIN
Open Data Innovation
Platform for professional developers and laypersons to work with open data
Developers create components (traditional coding)
End users are working with a graphical tool to compose these components
A journalist (e.g.) wants to aggregate weather data with traffic accidents
Takes two data sources (weather and traffic data)
Combine them with a aggregation/filter/ ... component
Adds a visualization component
Tim Berners Lee | TED2010 - The year open data went world wide (01:30)
Alternative source
Challenges
Integrate spatial hypertext features into an existing application
Generate a suitable knowledge base
Validate results
Based on this interpretation, ...
structure services query the knowledge base
and generate suggestions for the midgard layer.
Midgard applications render (some of) these.
Technical Stuff
time check...
Findings and Conclusion
Future Work
While it is fairly easy to integrate hypertext features in [App],
it is hard to generate a sophisticated knowledge base.
The harder the less data is available...
The computational analysis of the workspace is based on the idea,
to not disrupt the authoring process [programming, researching, writing, ...]
Presenting suggestions in a simple list, is disruptive.
TODO:
Semantic layouting of suggestions into the users' space


This is the message from server that was sent by another client. It contain
two parts: fixed part (sender uin, msg-id cookie, channel, sender info) and
message data part.


options.type
Specifies the type of binding that this component supports. Skate offers you three different types:
skate.type.ELEMENT
(default) - Bind to an element whose tag name matches the component name.skate.type.ATTRIBUTE
- Bind to an element who has an attribute matching the component name.skate.type.CLASSNAME
- Bind to an element who has a class name matching the component name.You specify these as the type
option:
The ELEMENT
type is the default and preferred type to use because it is the most explicit form of binding behaviour to an element. You should use this form unless you absolutely need to use the other types.
Use this form when:
You should hyphenate your element names whenever possible because non-hyphenated names prevent Skate from using the native custom element implementation and it makes it clear to others that it is a custom element. Try to only use non-hyphenated names when you're polyfilling elements for browsers that don't support them such as datalist
in IE9.
Use the ATTRIBUTE
component type when:
The CLASSNAME
component type is the least preferred method of binding behaviour to an element as it's not clear that an element may have custom behaviour applied to it.
You should use this form when:


Lab 03 - Create a domain model
Lab Goal
To create a new domain model with the JBoss BRMS domain modeler
Create new domain model
- Head over to the project authoring perspective:
AUTHORING -> PROJECT AUTHORING
Create new domain model
Create new domain model
- Create
Product
and click OK
when done
Create new domain model
- Add all fields as shown, hitting
CREATE
to add each one
- desc, Description,
String
- itemId, Item ID,
String
- name, Name,
String
- price, Price,
DOUBLE
Create new domain model
- Finished
Product
object in our domain model for now...
Create new domain model
- Add
PromoEvent
object to our domain model
Create new domain model
PromoEvent
is an EVENT
object, so add this as it's ROLE
Create new domain model
- Add all fields to
PromoEvent
Create new domain model
- Create
ShoppingCart
object
Create new domain model
- Add all fields for
ShoppingCart
object
Create new domain model
- Create
ShoppingCartItem
object
Create new domain model
- Add all fields for
ShoppingCartItem
object
- note:
shoppingCart
is object found in Type
drop down menu
Create new domain model
- Now we add a
ShoppingCartItemList
to ShoppingCart
object
- note:
ShoppingCartItem [0..N]
is found in Type
drop down menu
Save domain model
- Click on
SAVE
button to persist the domain model
- pop-up bar should say
Data model was saved
Rewards process project
(next up, creating rewards process...)
- JBoss BRMS & BPM Suite Articles
- JBoss BPM Suite Demos
- JBoss bpmPaaS Demos


|
hcash
2.0.0
hcash
|
#include <AssetOperations.hpp>
Public Member Functions | |
| void | evaluate (TransactionEvaluationState &eval_state) const |
Public Attributes | |
| std::string | symbol |
| std::string | name |
| std::string | description |
| fc::variant | public_data |
| AccountIdType | issuer_account_id |
| ShareType | maximum_share_supply = 0 |
| uint64_t | precision = 0 |
Static Public Attributes | |
| static const OperationTypeEnum | type = create_asset_op_type |
Creates / defines an asset type but does not allocate it to anyone. Use issue_asset_operation
| void hsrcore::blockchain::CreateAssetOperation::evaluate | ( | TransactionEvaluationState & | eval_state | ) | const |
| std::string hsrcore::blockchain::CreateAssetOperation::description |
Describes the asset and its purpose.
| AccountIdType hsrcore::blockchain::CreateAssetOperation::issuer_account_id |
Assets can only be issued by individuals that have registered a name.
| ShareType hsrcore::blockchain::CreateAssetOperation::maximum_share_supply = 0 |
The maximum number of shares that may be allocated
| std::string hsrcore::blockchain::CreateAssetOperation::name |
Names are a more complete description and may contain any kind of characters or spaces.
| uint64_t hsrcore::blockchain::CreateAssetOperation::precision = 0 |
| fc::variant hsrcore::blockchain::CreateAssetOperation::public_data |
Other information relevant to this asset.
| std::string hsrcore::blockchain::CreateAssetOperation::symbol |
Symbols may only contain A-Z and 0-9 and up to 5 characters and must be unique.
|
static |


Perform LU decomposition. More...
Functions | |
| AFAPI void | lu (array &out, array &pivot, const array &in, const bool is_lapack_piv=true) |
| C++ Interface for LU decomposition in packed format. | |
| AFAPI void | lu (array &lower, array &upper, array &pivot, const array &in) |
| C++ Interface for LU decomposition. | |
| AFAPI void | luInPlace (array &pivot, array &in, const bool is_lapack_piv=true) |
| C++ Interface for in place LU decomposition. | |
| AFAPI af_err | af_lu (af_array *lower, af_array *upper, af_array *pivot, const af_array in) |
| C Interface for LU decomposition. | |
| AFAPI af_err | af_lu_inplace (af_array *pivot, af_array in, const bool is_lapack_piv) |
| C Interface for in place LU decomposition. | |
Perform LU decomposition.
This function decomposes input matrix A into a lower triangle L, an upper triangle U such that
\f$A = L * U\f$
For stability, a permutation array P is also used to modify the formula in the following manner.
\f$A(P, span) = L * U\f$
This operation can be performed in ArrayFire using the following code snippet.
The permuted version of the original matrix can be reconstructed using the following snippet.
The sample output for these operations can be seen below.
When memory is a concern, users can perform the LU decomposition in place as shown below.
The lower and upper triangle matrices can be obtained if necessary in the following manner.
LU decompositions has many applications including solving a system of linear equations. Check af::solveLU fore more information.
C Interface for LU decomposition.
| [out] | lower | will contain the lower triangular matrix of the LU decomposition |
| [out] | upper | will contain the upper triangular matrix of the LU decomposition |
| [out] | pivot | will contain the permutation indices to map the input to the decomposition |
| [in] | in | is the input matrix |
C Interface for in place LU decomposition.
| [out] | pivot | will contain the permutation indices to map the input to the decomposition |
| [in,out] | in | contains the input on entry, the packed LU decomposition on exit |
| [in] | is_lapack_piv | specifies if the pivot is returned in original LAPACK compliant format |
C++ Interface for LU decomposition.
| [out] | lower | will contain the lower triangular matrix of the LU decomposition |
| [out] | upper | will contain the upper triangular matrix of the LU decomposition |
| [out] | pivot | will contain the permutation indices to map the input to the decomposition |
| [in] | in | is the input matrix |
C++ Interface for LU decomposition in packed format.
| [out] | out | is the output array containing the packed LU decomposition |
| [out] | pivot | will contain the permutation indices to map the input to the decomposition |
| [in] | in | is the input matrix |
| [in] | is_lapack_piv | specifies if the pivot is returned in original LAPACK compliant format |
C++ Interface for in place LU decomposition.
| [out] | pivot | will contain the permutation indices to map the input to the decomposition |
| [in,out] | in | contains the input on entry, the packed LU decomposition on exit |
| [in] | is_lapack_piv | specifies if the pivot is returned in original LAPACK compliant format |


Watches
Settings
Info
Watches
First Watch
image/svg+xml
1
Name of Watch
(e.g. Brand or Model)
Number of Turns per Day
Revolutions
Required Turning Direction
Clockwise
Counter Clockwise
Both
Second Watch
image/svg+xml
2
Name of Watch
(e.g. Brand or Model)
Number of Turns per Day
Revolutions
Required Turning Direction
Clockwise
Counter Clockwise
Both
Third Watch
image/svg+xml
3
Name of Watch
(e.g. Brand or Model)
Number of Turns per Day
Revolutions
Required Turning Direction
Clockwise
Counter Clockwise
Both
reset
save
Version 0.3
Copyright (c) 2018 Jonathan Bryan Schmalhofer
github.com/JonathanSchmalhofer


Before Change
if incremental_state is None or len(incremental_state) == 0:
return
prev_hiddens, prev_cells, input_feed = self.get_cached_state(incremental_state)
cached_state = (prev_hiddens, prev_cells, [input_feed])
new_state = [self.reorder_state(state, new_order) for state in cached_state]
prev_hiddens_tensor = torch.stack(new_state[0])
prev_cells_tensor = torch.stack(new_state[1])
cached_state_new = torch.jit.annotate(
Dict[str, Optional[Tensor]],
{"prev_hiddens": prev_hiddens_tensor, "prev_cells": prev_cells_tensor, "input_feed": new_state[2][0]})
self.set_incremental_state(incremental_state, "cached_state", cached_state_new),
return
After Change
if incremental_state is None or len(incremental_state) == 0:
return
prev_hiddens, prev_cells, input_feed = self.get_cached_state(incremental_state)
prev_hiddens = [p.index_select(0, new_order) for p in prev_hiddens]
prev_cells = [p.index_select(0, new_order) for p in prev_cells]
if input_feed is not None:
input_feed = input_feed.index_select(0, new_order)
cached_state_new = torch.jit.annotate(


Conditional statements¶
Sources¶
This lesson is based on the Software Carpentry group’s lessons on Programming with Python.
Basics of conditional statements¶
Conditional statements can change the code behavior based on meeting certain conditions.
Let’s take a simple example.
>>> num = 37 >>> if num > 100: ... print('greater') ... else: ... print('not greater') ... not greater
What did we do here? First, we used the
if
andelse
statements to determine what parts of the code to execute. Note that both lines containingif
orelse
end with a:
and the text beneath is indented. What do these tests do? Theif
test checks to see whether the variable value fornum
is greater than 100. If so, ‘greater’ would be written to the screen. Since 37 is smaller than 100, the code beneath theelse
is executed. Theelse
statement code will run whenever theif
test is false.The combination of
if
andelse
is very common, but both are not strictly required.>>> num = 53 >>> if num > 100: ... print('53 is greater than 100') ... >>>
Note that here we use only the
if
statement, and because 53 is not greater than 100, nothing is printed to the screen.We can also have a second test for an
if
statment by using theelif
(else-if) statement.>>> num = -3 >>> if num > 0: ... print(num, 'is positive') ... elif num == 0: ... print(num, 'is zero') ... else: ... print(num, 'is negative') ... -3 is negative
Makes sense, right? Note here that we use the
==
to test if a value is equal to another. The complete list of these comparison operators is given in the table below.Operator Meaning <
Less than <=
Less than or equal to ==
Equal to >=
Greater than or equal to >
Greater than !=
Not equal to We can also use
and
andor
to have multiple conditions.>>> if (1 > 0) and (-1 > 0): ... print('Both parts are true') ... else: ... print('One part is not true') ... One part is not true >>> if (1 < 0) or (-1 < 0): ... print('At least one test is true') ... At least one test is true
This can be quite handy.


 Once you can understand your emotions, managing them becomes more achievable. At the lowest level of emotional intelligence, just being able to express your emotions os a form of EQ. At the highest level it is about obtaining control over your emotions and being able to manage them. The purpose of EQ is to improve well-being and help achieve academic success.
EQ in action will result in the following: Thinking before reacting, achieving greater self awareness, expressing empathy to others. accepting criticism and taking responsiblity.
Some examples of high EQ in practice are:
Those that have a low EQ tend to have poor social skills and are likely to have poor relationships, get into arguments often, have a poor understanding of how others are feeling.
On the other end of the spectrum it is actually possible to have a emotional intelligence level that is too high. People with a high EQ tend to be less innovative and creative, struggle to deliver negative feedback. Also those that have a better EQ are able to take control over their emotions so they can supress their actual emotions if they want to. Also their emotional understanding is greater of other people so they have the ablility to manipulate others by targeting their emotions in a specific way to achieve an outcome they desire.
It should be clear that obtaining a high EQ level doesn't make somebody a better person but just gives them powerful social skills.
IQ is diffent from EQ as it involves cognitive skills that are used for solving problems and is accociated with logic skills as opposed to human/social skills. IQ is the hard skill set that is used for solving tasks and problems but EQ is soft skills relating to emotion management.


Postcode:
Should the government start enforcing garbage separation and recycling schemes across your area?
Phasellus augue sapien, aliquam sit amec mauris
Sed facilisis volutpat turpis eu viverra


Graduated from Sapthagiri College Of Engineering(VTU),Bangalore
Intern
Worked as an intern for Austing Medical Solutions Private Limited(Bangalore) for 3 months as Web Developer.
Immersive Full Stack Developer Trainee
6 month training in full stack development in Cognizant(Chennai).
Portfolio
My interests and projects
Interests:
Music
English and Regional
Travelling
Waterfalls and Hills
Sports
Cricket and Football
Food Delivery App
Web Application
Movie Cruiser App
Web application
World-Explorer
Web Applcation
Contact Me
Any Time
8971853493
<EMAIL_ADDRESS>MUSIC
Love listening to kannada and english music when i'm alone.
Travelling
Eager to sneak out to new places to witness nature's beauty.
I have travelled to Madikeri,Nandi Hills,Jog Falls,Pondichery,Marina beach,Mysore Palace and more other water falls and hills
Sports
Love to be part of outdoor games.
Enjoy playing the outdoor games like cricket,volly ball,football..
Food Delivery Application
A web application to see list of foods whicah can be added to cart.
It is developed using Spring boot ,Angular 7,Mysql database.This application shows the list of food items available and
has an option to add it to cart and in cart tab will have the added items and total cost.
Movie Cruiser App
A Web application to see list popular and top rated movies and with an option of adding them to watchlist.
In this app, user can view the list of new movies and highest rated movies which comes from extrnal api(TMDB) and he can add it to his watchlist and write comment on his favourist movies.
World-Explorer
Every User can see the lsit of countries and he can add them to his favorite countries list,also can delete them and update them.
Every user can see all the countries which is fetched from external api and can add any of the country to his favorite list and he can add his opinion on them or delete them from favorites.


Master Toma:
Tell that old man that it broke too easily. Next time he should send something more durable.


Product
Primary Applicant
Joint Applicant 1
Joint Applicant 2
Account Type
Choice Checking
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Basic Savings
{{getAccountType(basicSavings);}}
CD Interest at Maturity
{{getAccountType(cdInterestMat);}}


In previous articles we learned how to show images and process keyboard event. Now it’s time to do something interesting with objects on the screen.
Imagine you want to move some sprite from one place on the screen to another. You can’t just use setPosition
because it will look like teleportation. Instead, you should set new object position a bit closer to the target, then after a very small period of time (milliseconds, maybe) change position again. And again, and again, until after a thousand of small moves the object will appear where you want to see it. That’s not an easy task to implement this in code, so cocos2d-x developers created a special class for it, called Action.
For example, in order to move something you should use a MoveTo
class, which is a subclass of Action
. It looks like this:
void ActionsDemoScene::sideButtonCallback(Ref *pSender) {
MoveTo* moveTo = MoveTo::create(2, Vec2(320,240));
greenUfo->runAction(moveTo);
}
Here greenUfo is a sprite on the scene. moveBy
is an action that moves the sprite. The factory method MoveTo::create
receives two parameters:
As a result, after pressing a button the green ship will start moving and after some amount of time will get to another place.
There are a lot of possible transformations in cocos2d-x:
Most of the transformations come in two variants: “To” and “By”. The first one receives new parameters (angle, point etc) exactly, and the latter gets a difference between current and desired values.
By default, the Action changes parameters smoothly and equally, but it may be changed. For example the value may be changed slowly at first and more significantly later; this will give an impression of moving a massive body.
Custom behavior may be implemented with Easing* classes. There are a lot of different variants of them in cocos2d-x.
A small example:
MoveBy* bma = MoveBy::create(6, Vec2(360,0));
EaseIn* bea = EaseIn::create(bma, 1.5f);
blueShip->runAction(bea);
Second parameter for EaseIn constructor defines how notably the changes will be. The larger the easier it will be to see the difference in motion.
Following picture shows the EaseIn and EaseOut comparing to default movement:
Результат модифікаторів [:
Here the green ship moves as default, blue one gets EaseIn and the red one was eased out.


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There's been an error. It's been reported and should be fixed shortly.
Thanks for your patience.


This account has {{user.public_repos}} repositories and was create on {{user.created_at | date}}.
GitHub user details will appear here.


Tower Bridge shut down after ‘police incident’
Tower Bridge has shut down to traffic following a ‘police incident’, officers have confirmed.
City of London Police urged drivers to stay away and use alternative routes while officers deal with the ‘accident’.
The London Fire Brigade tweeted: ‘Firefighters are currently assisting @Ldn_Ambulance to rescue an injured member of the public from Tower Bridge.
‘Road closures are in place in both directions of the bridge.’
This is a breaking news story, more to follow.


Francesco Farina
Nice to meet you!
Who am I
- First Name: Francesco
- Last Name: Farina
- Nationality: Italian
- Age: 25 (17/10/1991)
My Family
My Interests
- Computer Science
- Art
- Music
- Movies
- Books
- Photography
- Videogames
- every form of expression
- Travelling
Summer 2016
My Studies
Computer Science
Bachelor's Degree - Sept 2010 / Dec 2013
- Programming Languages
- Operating Systems
- Algorithms
- Data Structures
- Computer Networks
- Software Engineering
- Parallel and Distributed Programming
- Web Development
- Database Design
My Studies
Computer Science
Master's Degree - Dec 2013 / Sept 2016
Networks Specialization
- Parallel and Concurrent Computing
- Grid and Cloud Computing
- Distributed Systems
- Data Analysis and Integration
- Computational and Artificial Intelligence
- Security and Cryptography
- Compilers
- Virtualization
- Advanced Algorithms
- Social Networks Structure
- Robotics
Bachelor's Degree Thesis
Integration of the MASON library in the Agent Modeling Platform in Eclipse
Master's Degree Thesis
Computing the Gibbs measure of the subgraphs-world dynamics for the Ising model on real world big datasets
My IT Hot Topics
- Cloud Computing
- Architectures
- Microservices
- Containers (Docker, ...)
- Networks Science
- AI
- Machine Learning
- Deep Learning
- Music Information Retrieval
My IT Hot Topics
- Security
- Cryptography
- Penetration Testing
- Cutting Edge Tech, Tools and Languages
- OSs
Thank you!


Curtis Edmonds --<EMAIL_ADDRESS>"The greatest trick the devil ever pulled was convincing the world he didn't exist." So says Kevin Spacey's character in The Usual Suspects, a far, far better movie than Fallen. Fallen stands for the opposite premise: that the devil walks among us and wants to convince us that he does exist. Or anyway, that he wants to convince Denzel Washington that he exists.
This devil's name is Azazel, and he's by far the most interesting character in Fallen, by virtue of being the only interesting character in Fallen. (In a movie like this, being interesting is a virtue.) Azazel is left-handed, enjoys injecting people with poison, and likes to sing a particular Rolling Stones song (no, not Sympathy for the Devil", but "Time is on My Side"). He has spent the last few years in prison, possessing the body of a serial killer, and when the killer is executed, Azazel is free to walk among us, transferring his evil nature from body to body by touch.
Azazel's motto, as one of the possessed tells us, is "maximum fun". Fun for Azazel is tormenting poor homicide detective John Hobbes (Washington), the only man that he can't enter through touch. So Azazel begins killing people in a style reminiscent of the recently-executed serial killer -- crimes that the baffled Hobbes is called on to solve, and is eventually suspected of committing himself.
Fallen has two specific obstacles to face, succeding in one and failing in the other. The first problem -- turning a powerful, invisible spirit into a movie villian -- is handled quite well. There's a couple of very nice scenes where we see Azazel transferred from host to host like the virus in Outbreak. Also, the people Azazel possesses carry around a Steadicam with some weird yellow filter on it, so the audience can see things from the demon's perspective. And the people that Azazel possesses are extremely well-cast. They all have a demonic glint in their eye when they're playing the part of Azazel.
The second problem is: how do you make all this interesting? Well, you don't. The main problem with this movie is Washington's character, who is written to be dull and plodding. Denzel, like the good actor he is, dutifully plays his part in a dull and plodding style -- although he's not able to outdo his partner John Goodman, who's so boring he's almost narcoleptic. And the movie ambles slowly along, following Detective Hobbes along the connect-the-dots plot of the gratuitous little clues that Azazel leaves strewn everywhere. There's nothing in the movie to lighten its leaden tread.
Fallen is Moviemaking Light: a thriller with no thrills, an interesting premise with no substance, a decent twist ending that comes about a half-hour too late, featuring good actors trapped inside a mindless script. One wants to ask the writers and producers filmed this pointless, overlong story, but the answer seems guaranteed to be: "The devil made me do it." The greatest trick this movie could pull off would be in making us believe that it never existed.
Grade: C
-- Curtis "BlueDuck" Edmonds<EMAIL_ADDRESS>The Hollywood Stock Brokerage and Resource http://www.hsbr.org/brokers/blueduck/
"I don't want to study law," she said with the same tone as if she had been saying, "I don't want to turn into a cockroach."
-- Mark Helprin, "A Soldier of the Great War"
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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On October 4th 2007 at 00:00 MESZ a balloon was launched from a team of radio amateurs at the Sternwarte Bochum/Germany. This is of course not really a satellite. It carried a beacon with the callsign DA0SPUTNIK which was transmitting information and audio recordings of the first artificial satellite Sputnik-1 which had been launched 50 years before.


Eventually a teacher should mark the posts you have made which are answers to questions.
"# Marked" is the number of your posts that teachers have marked.
You cannot see the marks or comments from the teachers on your marked posts until they are released, i.e. made available to you.
"# Released" is the number of your marked posts that have been released.


My Experiences
About Me
I am currently a fourth year Computer Science student at UC Davis. My interests include web developing and (ios and android) app developing. I am skilled in multiple programming languages such as C++, Javascript, Go, Python, Java, Swift, and marked up languages such as HTML5, CSS, and Sass. I also have experience in web framework such as react, angular, simpleLight box, and bootstrap. To keep myself updated with latest technical advancements, I like to spend my free time reading up on new web framework and learning new programming languages.
Computer Science
studying at UC Davis
- ECS 36B: Object-Oriented Program
- ECS 50: Machine Dependent Program
- ECS 36C: Data Structures
- ECS 122A: Algorithm Design & Analysis
- ECS 132: Probability and Statistics for CS
- ECS 140A: Programming Languages
- ECS 154A: Computer Architecture
- ECS 175: Computer Graphics
Web Developer
Front-end Developer
Front-end developers are responsible for implementing designs and concepts on the web, meaning that their primary tools are HTML, CSS, and Javascript. HTML is used for laying out content and the structure of the document, while CSS is used for styling it before JS is applied where anything beyond basic interactivity is required. Oftentimes front-end development is very heavily Javascript-oriented, particularly when working on modern, highly-interactive, web applications.
OnTrac Shipping
Sub Contractor
- Took over manager’s role for four weeks during his leave of absence
- Managed about twenty drivers to unsure accurate data entry into the OnTrac system and ensure on-time delivery
- Resolved customer-driver package complaints
- Organized over 300 packages each day by destination for easier delivery
- Delivered packages within assigned area


◆ StateManager()
Constructor.
- Parameters
-
| context | The context that will be passed to every state |
◆ ClearStateStack()
| void mbe::StateManager::ClearStateStack |
( |
| ) |
|
Removes all states from the state stack.
The states will automatically be destroyed
◆ HandleSFMLEvents()
| void mbe::StateManager::HandleSFMLEvents |
( |
const sf::Event & |
event | ) |
|
Calls the HandleSFMLEvents() methods of the states currently in the state stack.
The top-most states's method is called first. The HandlerSFMLEvents() methods of the states below are called as long as the HandleSFMLEvents() method of the state above returns true. Therefore, returning false in the state's HandleSFMLEvents() method blocks the events from reaching states below it on the stack.
- Parameters
-
| event | The SFML event containing the event data |
◆ IsStateStackEmpty()
| bool mbe::StateManager::IsStateStackEmpty |
( |
| ) |
const |
|
inline |
Returns whether the state stack is empty.
This can be used e.g. as a condition to close the game.
◆ PopState()
| void mbe::StateManager::PopState |
( |
| ) |
|
Pops the top-most state from the state stack.
The state will automatically be destroyed.
◆ PushState() [1/2]
template<class TState , class TData >
| void mbe::StateManager::PushState |
( |
std::shared_ptr< TData > |
data | ) |
|
|
inline |
Creates a new state and pushes it onto the state stack.
This function is for pushing states that take an additional argument of type std::shared_ptr<TData>. For states that take no additional data in their constructor use the other overload of the PushState() method.
- Template Parameters
-
| TState | The type of State to be created. Ususally inherited from mbe::State. It's contructor must take a reference to this mbe::StateManager and an instance of the mbe::State::Context class as well as a third argument of type std::shared_ptr<TData> |
| TData | The type of the data passed to the state's constructor. This must be equivalent with the type expected by the contructor of TState. |
- Parameters
-
| data | The data passed to the state. All data must be contained in a std::shared_ptr. |
- Note
- Using one of the PushState() method overloads is the only way to create a new state.
◆ PushState() [2/2]
template<class TState >
| void mbe::StateManager::PushState |
( |
| ) |
|
|
inline |
Creates a new state and pushes it onto the state stack.
This function is for pushing states that don't take an additional argument. For states that take an additional argument in their constructor use the other overload of the PushState() method.
- Template Parameters
-
- Note
- Using one of the PushState() method overloads is the only way to create a new state.
◆ Render()
| void mbe::StateManager::Render |
( |
| ) |
|
Calls the Render() methods of the states currently on the state stack.
The top-most states's method is called first. The Render() methods of the states below are called as long as the Render() method of the state above returns true. Therefore, returning false in the state's Render() method blocks the states below from being rendered.
◆ Update()
| void mbe::StateManager::Update |
( |
sf::Time |
frameTime | ) |
|
Calls the Update() methods of the states currently in the state stack.
The top-most states's method is called first. The Update() methods of the states below are called as long as the Update() method of the state above returns true. Therefore, returning false in the state's Update() method blocks the states below from being updated.
- Parameters
-
| frameTime | The delta time between two successive frames |
The documentation for this class was generated from the following file:
- C:/Users/Adrian/Documents/Visual Studio 2017/Projects/Mars Base Project/Mars Base Engine ECS/Include/MBE/Core/StateManager.h


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