Definition
- a fall in systolic blood pressure of at least 20 mm Hg or diastolic blood pressure of at least 10 mm Hg within 3 minutes after standing (AAFP)
- However, SCI patients can often become symptomatic even when sitting.
Risk Factors
- injuries T6 and higher
- complete injuries
Treatment
- Reposition — decrease seat-back angle in a recliner wheelchair from near supine gradually to full upright as tolerated
- Elastic stocking/abdominal binder/ace wrap LE
- Exercises –use of tilt table
- Fluid resuscitation: increase fluid intake
- Pharmacological
- salt tablets
- midodrine: used 1 hour prior to desired effect
- fludrocortisone


The Go release JSON API provides programmatic access to the release versions and artifacts of the Go programming language.
/api/latest_version.txt: Returns the latest stable version of Go in text.
/api/latest_release.json: Returns the Release
object for the latest stable version of Go.
/api/all_versions.txt: Returns all of the stable Go versions sorted in decreasing release version and separated by newlines.
/api/all_versions.json: Returns all of the stable Go versions as an JSON object with a top-level versions
key whose value is an array version strings in decreasing release version.
/api/versions/$GO_VERSION/release.json: The JSON Release
object for the given $GO_VERSION
.
Release
objects contain:#
Artifact
s.
Artifact
objects contain:
"Source"
(it's the source code for the artifact), "Installer"
(a binary installer tool for a given platform), or "Archive"
(a compiled form of the Go release for that platform).


The History of India
This page is under construction.
This debate is a little taste of what you can expect from this page in the future. Enjoy.
Return Page
Debate


Stylish pooches: Strutz canine fashion show – in pictures
More than 40 dogs took part in the Strutz canine fashion show in Chelsea, London, hosted by Love My Human, including rescued dogs from war-torn countries to raise money for the animal welfare charity PDSA and the Wild at Heart Foundation. Photographer Sophie Green went to meet some of the stylish dogs and their owners
Caitlin and her cockapoo Mabel
Maggie the Wunderdog was rescued from the streets of Beirut by Wild at Heart Foundation.  Thanks to the generosity of donors she has found a happy home in Brighton with her human Kasey, and she spends her time spreading love as a therapy dog. In this picture she is wearing a handmade bandana by Love My Human
Mira with her cavapoochon Sashimi
Elly is a Wild at Heart rescue dog who has climbed Ben Nevis and Snowdon and even run marathons. In this picture she is wearing a hand knit Vivienne jumper by Max Bone and a Bartock and Boog black night lightning collar and lead set
Chewie the shitzu wearing a tangerine merino jumper by Howlpot
Stylish members of the audience with their human
A dog being groomed in the Love My Human grooming rooms
Photograph: Sophie Green/The Guardian
Yuta and his shiba inu Fuji
A member of the audience watches the show
Photograph: Sophie Green/The Guardian
Pink harness in the audience
Chewie the shitzu (in a tangerine merino jumper by Howlpot) and Biscuit the king charles cavalier (in a yellow harness by Furry Couture)
Super Tedz the tripawed pug in the Love My Human grooming rooms
Washtime for Teddy in the grooming rooms
Lizzie and her chihuahua Oscar
Photograph: All photography; Sophie Green/The Guardian


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Probability Distributions¶
A probability distribution is a mathematical formalization that describes a particular type of random process.
Properties of Distributions¶
Probability Distributions are classified into two categories:
- discrete – producing outcomes that can be mapped to the integers (such as 1, 2, ...)
- continuous – producing real-valued outcomes (such as 3.14... or 2.71...)
Discrete distributions are specified using probability mass functions often indicated as \(Pr(X=x)\) while continuous distributions are specified using probability density functions often indicated as \(f(X=x)\).
Discrete distributions specify probabilities of observing outcome \(x\) from a discrete random variable \(X\) directly, while continuous distributions specify the behavior of realizations \(x\) of a continuous random variable \(X\) in a retaliative rather than absolute manner. For example, if \(f(X=x_1) = 2f(X=x_2)\) then in the long-run \(x_2\) will occur twice as frequently as \(x_1\).
Regardless of whether or not a random variable \(X\) is discete or continuous, if it is distributed according to a distribution named \(XYZ\) with parameters \(\alpha\) and \(\beta\), and so on, then we write
and if a collection of \(n\) random variables \(X_i, \; i=1, 2, \cdots n\) are identically and independently distributed (i.i.d) —i.e., the random variables have the same distribution and the realization of one does not influence the realization of another— then we write
For both continuous and discrete distributions, there are four properties – the first through fourth moments – that are often used to describe a distribution:
- Expectation (or Mean) characterizes the location of a distribution
- Variance or Standard Deviation (square root of the variance) characterizes the spread of a distribution
- Skewness characterizes the asymmetry of a distribution
- Kurtosis characterizes the heavy-tailedness of a distribution (i.e., how ofter extreme outlier events occur under the distribution.
Essential Discrete Distributions:¶
Bernoulli¶
A Bernoulli distribution is a discrete probability distribution modeling a one chance attempt that results in either a success of a failure. Such an attempt is called a Bernoulli trial, with a success typically recorded as a \(1\) and a failure typically recorded as a \(0\). The most commonly cited example of a Bernoulli trial is getting a heads on a coin flip, where the chance of getting a heads is \(50\%\) if the coin is fair (but another probability otherwise). The probability mass function for a Bernoulli random variable \(X\) is defined as
where \(p\) is the parameter of the Bernoulli distribution and the mean and variance of the random variable \(X\) modeled using a Bernoulli distribution are, respectively
- \(E[X] = p\)
- \(Var(X) = p(1-p)\)
(Source code, png, hires.png, pdf)
Note
CLASS DISCUSSION
Let’s say that I polled all first graders in the state of colorado and asked the question do you like/dislike your teacher. The answers are discrete values and the distribution of those answers could be modeled with a Bernoulli model. What are some other examples?
Check out this khan academy video on the Bernoulli distribution if you need some further intuition about Bernoulli distributions.
Binomial¶
The binomial distribution is a discrete probability distribution that defines the probability of observing exactly \(k\) successes out of \(n\) identical Bernoulli trials. The probability mass function for a Binomial random variable \(X\) is defined as
where \(p\) and \(n\) are the parameters of the binomial distribution and the mean and variance of the random variable \(X\) modeled using a binomial distribution are, respectively
- \(np\)
- \(np(1-p)\)
(Source code, png, hires.png, pdf)
Note
CLASS DISCUSSION
The number of heads that come from flipping a coin 10 times is a discrete value that can be modeled with a binomial distribution. What are some other examples of random variables that might be modeled with a binomial distribution?
Check out this khan academy video on the binomial distribution if you need some further intuition about binomial distributions.
Poisson¶
The Poisson distribution is a discrete probability distribution that can be used to model the number of times an event occurs within a given fixed time interval; specifically, it exactly defines a probability model for the number of arrivals of a sequential process of exponentially distributed time intervals in that window. (We will discuss the exponential distribution further below). (If all of that sequential process process stuff didn’t make any sense, don’t sweat it for now). The relationship of the Poisson distribution to the exponential distribution notwithstanding, the probability mass function for a Poisson random variable \(X\) is defined as
where \(\lambda\) is the parameter of the Poisson distribution and the mean and variance of the random variable \(X\) modeled using a Poisson distribution are, interestingly, the same:
- \(E[X] = Var(X) = \lambda\)
(Source code, png, hires.png, pdf)
Note
CLASS DISCUSSION
The probability that one, two,... uber cars pass in front of my building in an hour is a discrete value that could potentially be modeled with a Poisson distribution. What are some other examples of random variables that could be modeled as using a Poisson distribution.
Bonus: Can any of these these examples be modeled using a binomial distribution?
Check out this How the Binomial and Poisson Distribution are Related (khan academy) video if you’re interested in learning a little bit more about the second question in the above exercise. Check out the Poisson distribution example (khan academy) video if you need some more intuition about Poisson distributions. And finally, some further example applications of the Poisson model are discussed here.
Essential Continuous Distributions:¶
Uniform¶
The (continuous) uniform distribution generates completely random occurrences over a defined space. The probability density function of the uniform distribution defined over an interval on the real line is specified as
where \(a\) and \(b\) are the parameters of the uniform distribution and the mean and variance of the random variable \(X\) modeled using a uniform distribution are, respectively
- \(E[X] = \frac{a+b}{2}\)
- \(Var(X) = \frac{(b-a)^2}{2}\)
Normal/Gaussian¶
The Gaussian or normal distribution is a continuous probability distribution whose probability density function is defined as
where \(\mu\) and \(\sigma^2\) are the parameters of the normal distribution and the mean and variance of the random variable \(X\) modeled using a normal distribution are, respectively
- \(E[X] = \mu\)
- \(Var(X) = \sigma^2\)
The normal or Gaussian distribution is the distribution most frequently encountered in statistics. This is because there is a theorem (The Central Limit Theorem, or CLT) that, loosely speaking, says that random variables made up of sums of other random variables tend to be normally distributed. And since many random variables in our world are in some regard composite variables in this manner, many of the variables in our world do appear to be (approximately) normally distributed. Another reason we come across the normal distribution so much in statistics is because the CLT phenomenon can be leveraged as part of hypothesis testing. (We will cover hypothesis testing tomorrow).
(Source code, png, hires.png, pdf)
Note
CLASS DISCUSSION
Test scores, IQs, heights, finishing times from the Boston marathons have all been empirically shown to be (almost/approximately) normally distributed. Are you surprised to learn this?
Check out this khan academy video on the normal distribution if you need some further intuition about normal distributions.
Reparameterization
The way a distribution is parameterized is actually an arbitrary choice. I.e., there many ways way in which the parameters of a distribution could be be specified. For example, the inverse of the variance \(\tau = 1/\sigma^{2}\) is known as the precision in a normal distribution context and we could easily specify the Gaussian probability density function using the precision \(\tau\) rather than the variance \(\sigma^{2}\). For that matter, would you say that the Gaussian probability density function is specified in terms of the variance \(\sigma^{2}\), or the standard deviation \(\sigma\)?
Less Essential distributions:¶
Geometric¶
The geometric distribution is a discrete probability distribution that defines the probability of needing to perform \(k-1\) identical Bernoulli trials before a success is observed on the \(k^{th}\) trial. The probability mass function for a Geometric random variable \(X\) is defined as
where \(p\) is the parameter of the geometric distribution and the mean and variance of the random variable \(X\) modeled using a geometric distribution are, respectively
- \(E[X] = \frac{1}{p}\)
- \(Var(X) = \frac{1-p}{p^2}\)
Sometimes probabilities of the geometric distribution are given in terms of the number of failures (\(k-1\)) as opposed to the total tries (\(k\), as done above) involved in finally observing a success.
Hypergeometric¶
The hypergeometric distribution is a discrete probability distribution that defines the probability of \(k\) successes from a population of size \(n\) when sampling without replacement. To visualize this, think of an urn (“stats speak” for “jar”) containing two types of marbles – say, red and green – and define drawing a green marble as a success and drawing a red marble as a failure. The hypergeometric distribution then defines the probabilities of the number of marbles that will be green out of a total of \(n\) marbles sampled from the urn. The probability of \(k\) successes out of \(n\) attempts in this context are not binomially distributed because the probability of success on each subsequent sample changes based on what has been previously drawn out of the urn. Stated explicitly, the probability mass function for a hypergeometric random variable \(X\) is defined as
where \(N, K\), and \(n\) are the parameters of the geometric distribution specifying the size of the population, the total number of individuals in the population, and the number of individuals to be sampled for a given random variable experiment \(X\), respectively.
The hypergeometric distribution is very interesting because it allows the mean and variance of the random variable \(X\) to be independently specified through the parameters \(N, K\), and \(n\), as opposed to the binomial distribution which only allows one to specify a deterministic relationship between the mean and variance. Thus, the clear probabilistic interpretation notwithstanding, the hypergeometric distribution can also be used in a purely pragmatic manner to flexibly model count data that has a different mean and variance combination from those allowed by the binomial distribution. Thus, the hypergeometric distribution can essentially be viewed as the discrete distribution alternative to the normal distribution in contexts where you want to model counts rather than continuous values.
Note
CLASS DISCUSSION
Is there a fundamental difference in the deterministic relationships between the mean and variance as specified in the binomial distribution versus the Poisson distribution? Or are the relationships in some sense a similar type of restriction?
Note
PAIRED EXERCISE
Discuss with your neighbor why the formulas for the geometric and hypergeometric probability mass functions make sense.
Exponential¶
The exponential distribution is a continuous probability distribution that has proven to be a useful model (with some deep theoretical justifications) for the distribution of “time to arrival” outcomes. Specifically, (as we have previously implicitly stated), the exponential distribution is the distribution of time to arrival outcomes for a so called Poisson process. Regardless, the probability density function for a Geometric random variable \(X\) is defined as
where \(\lambda\) is the parameter of the exponential distribution and the mean and variance of the random variable \(X\) modeled using an exponential distribution are, respectively
- \(E[X] = \frac{1}{\lambda}\)
- \(Var(X) = \frac{1}{\lambda^2}\)
The exponential distribution has an interesting “memoryless” property; namely, \(Pr(X \geq x+c |X \geq c) = Pr(X \geq x)\). What this actually means is that for any cutpoint \(X \geq c\), the re-normalized distribution looks exactly the same as an exponential distribution; only, it’s been shifted to the right by \(c\).
(Source code, png, hires.png, pdf)
Note
PAIRED EXERCISE
The exponential distribution is a special case of the gamma distribution. Another special case of the gamma distribution is the chi-squared distribution. Have one person explain the chi-squared distribution and the other explain the gamma distribution. Then together explain why the exponential and chi-squared distributions are special cases of the gamma distribution.
Note
EXERCISE
Have a look at the documentation for the probability distribution functionality in SciPy, which shows how to work with probability distributions using Python. Specifically, it shows how to use Python to generate random outcomes from probability distributions – something we haven’t done yet. For example, here’s how to generate random data from from the gamma distribution you learned about in the last exercise:
>>> from scipy import stats
>>> gamma_rv = stats.gamma(a = 5, scale = 10)
>>> gamma_rv.mean()
50.0
>>> gamma_rv.var()
500.0
>>> gamma_rv.rvs(10)
After you’ve tried using this code to sample gamma distributed random variables, try generating some samples from the other distributions. Play around the specifications of these distributions and see (a) how the mean and variance parameters of the random variables change and (b) how these characteristics are reflected in the random samples drawn from the distributions.
Note: the SciPy implementation of the gamma distribution uses the shape and scale parameterization rather than the shape and rate parameterization.
Distributional Relationships¶
We have already come across a couple connections that exist between different distributions (i.e., Bernoulli/Biomial, Binomial/Poisson, and Poisson/Exponential). Actually, there are many examples of such relationships that exist between probability distributions. And, unsurprisingly, there are many, many more distributions than the ones we covered here. Here is a diagram that suggests the scope of things here.
Data Modeling Considerations¶
Distributions can be used as models for your data! As such, there are a few standard considerations to keep in mind in assessing the appropriateness of a distribution as a potential data model:
- Are my data discrete or continuous?
- Are my data symmetric?
- What limits are there on possible values for my data?
- How likely are extreme values in my data?
- Would my data reasonably look like a random sample from this distribution?


C is a high-level programming language developed in the mid-1970s.The syntax of C++ is nearly identical to C, but it has object-oriented features, which allow the programmer to create objects.
Java is a programming language. ... It was released in 1995 as a part of Sun Microsystems' Java platform. The language has developed much of its syntax from C and C++.
Hypertext Markup Language (HTML) is the standard markup language for creating web pages and web applications. With Cascading Style Sheets (CSS) and JavaScript.
CSS is the language for describing the presentation of Web pages, including colors, layout, and fonts. It allows one to adapt the presentation to different types of devices.
Bootstrap is the most popular HTML, CSS, and JavaScript framework for developing responsive, mobile-first web sites.
PHP is general-purpose scripting language that is especially suited for web development and can be embedded into HTML.
Adobe Photoshop software is the industry standard in digital imaging and is used worldwide for design, photography,and more.
A unique framework to develop hybrid mobile apps for android ,ios and windows.it use html,css,typescript etc. to make pages.
Its an online portfoli website.it contain all my personal and Professional details. It also include all my project along with their links on git hub.
Its a responsive website.
Technologies Used: HTML CSS BOOTSTRAP
fareshare is an online portal aims at providing a platform to the users to share thier ride with the people going to same destination.Our portal allow the user to communicate each other with help of
chat box where they can exchange their info.
Technologies Used: HTML CSS BOOTSTRAP PHP
Resiowl is online wwebsite for searching hostel/pg and flats accoding to your need.Our website regularly comes up with some new and exciting offers for the users.
Users can also filter out the result using the filter on the basis of price , accomidity ,nearby places and many more.
Technologies Used: HTML CSS BOOTSTRAP PHP


A dump of the primary source code repository for this project.
Includes:
A dump of the LaTeX source code repository for the smart table.
Includes:
A dump of the LaTeX source code repository for the smart table.
Includes:
A dump of the laser files and table sketchup.
Includes:


Kim, Kanye and Joel Osteen Meet With Reed’s Brother
by Modupeoluwa AdekanyeKim Kardashian followed up her visit with Rodney Reed by coming face-to-face with his brother and then introducing him to the biggest stars in Houston, according to TMZ.
The death row inmate’s brother, Rodrick Reed, says he got to meet Kim, Kanye, and Joel Osteen on Sunday at the Lakewood Church, where Ye held a “Jesus Is King” performance that night with his choir.
Rodrick says he was brought backstage during Sunday’s events and discussed his brother’s case with Joel and the Wests. Kanye said he still plans to visit Rodney but needs to work out the legal works to make it happen.
Earlier in the year, she was with Rodney when word came in the Governor had granted a stay of execution.
Rodney was set to be executed Wednesday, but now the courts are ready to hear his case again, so, he could be vindicated after 20 years in prison.
His brother, Rodrick, says he and Kim talked about how she became so passionate about Rodney’s case, and she told him it was a Dr. Phil special the show that showed the interview with Rodney Reed, that got her interested.
As for Joel, Rodrick says the preacher told him he’d pray for Rodney. Rodrick added that he’s grateful Kim’s giving his family a megaphone for their cause.
Rodney Reed was scheduled for execution on November 20, however, he maintains his innocence.
He has been on death row for the past 21 years for the murder of Stacey Stites in Bastrop, Texas, despite an enormous amount of evidence that supports his innocence.


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'He's meticulous' - how Notts County manager Neal Ardley's video classroom is on par with Championship clubs
Magpies defender reveals how attention to detail is giving them the edge
by Leigh CurtisNotts County defender Ben Turner has opened up on Neal Ardley’s meticulous approach to games and says the level of research can rival Championship and League One clubs.
Magpies boss Ardley is a big advocate of video analysis not just to examine his own team's strengths and weaknesses but those of the opposition.
It is obviously helping Notts on the pitch with the club currently in the second round of the FA Cup, eighth in the National League table and their form has seen them lose just three of their last 19 games.
Turner, who knows Ardley from their time at Cardiff together, says the attention to detail is paying massive dividends and demonstrates how Notts will not cut corners in their bid for success.
“He doesn’t just get 11 players in training and go ‘there you are, have a game of football and hope for the best,” said Turner.
“He’s meticulous. We do video meetings on the opposition and look where the space will be.
“Do we play wide, or do we play through the middle? And we are very much aware of these things before we go out onto the pitch.
“It really helps. I’ve been under managers who do the analysis, and others who don’t.
“It might take you 20 or 30 minutes in a game to work out where the space is on the pitch, because you haven’t done enough analysis.
“We do a lot of work on it. We even looked at Belper knowing they did certain things at set-pieces.
“I am surprised we even had footage of Belper. We did a full on half-hour meeting on how we could hurt Belper and how they could hurt us if we weren’t careful.
“The club here is at the level its at, but it’s not ran differently to any Championship or League One club.
“The video work takes a lot of research and the staff here, the manager and Coxy are very keen not to cut any corners when we are preparing for games.”


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TABLE OF INTERACTIONS WITH
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS)
From the French ANSM drug interactions document of
September 2016, pp. 120-122
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
ACETYLSALICYLIC ACID RxNorm: 1191 ATC: A01AD05 B01AC06 N02BA01 |
For anti-inflammatory doses of acetylsalicylic acid (>=1gr per dose and/or >=3gr per day) or for analgesic or antipyretic doses (>=500 mg per dose and/or <3 gr per day): Acute renal insufficiency in dehydrated patients due to decreased glomerular filtration following a decrease of the synthesis of the renal prostaglandins. Furthermore, reduction of the antihypertensive effect. |
Precaution for use Hydrate the patient and monitor renal function at the beginning of treatment. |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
ALISKIREN RxNorm: 325646 ATC: C09XA02 |
Risk of hyperkalemia, of renal insufficiency, of increase of mortality from cardiovascular disease |
Contraindication: -for patients with diabetes or renal insufficiency Not recommended -in all other cases |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
ANGIOTENSIN II RECEPTOR ANTAGONISTS or ANGIOTENSIN RECEPTOR BLOCKERS (ARBs) CLASS CODE: C09CA0-001 |
In situations where the administration of these medications together is possible, increased risk of degradation of renal function, even acute renal insufficiency, and increase of the hyperkalemia as well as hypotension and fainting or loss of consciousness. |
Take into account |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
NON STEROIDAL ANTI-INFLAMMATORY DRUGS CLASS CODE: M01A-002 |
Acute renal insufficiency with patients at risk (older patients, dehydrated ones, those taking diuretics, those having altered renal function) due to decrease of the glomerular filtration (inhibition of the vasodilating prostaglandins due to the NSAIs). These effects are generally reversible. Furthermore, reduction of the antihypertensive effect. |
Precaution for use Hydrate the patient and monitor renal function at the beginning of treatment and regularly during the administration of these substances together. |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
POTASSIUM SPARING DIURETICS (ALONE OR IN COMBINATION) CLASS CODE: C0E-004 |
Risk of hyperkalemia (potentially lethal) especially when there is renal insufficiency (addition of the hyperkalemia producing effects) |
Not recommended --if the administration of these medications together is justified, strict testing of the kalemia and of the renal function. Precaution for use --for the spironolactone in doses between 12.5mg and 50mg per day, and for the eplerenone used in the treatment of heart failure, as well as in case of hypokalemia: Strict testing of the kalemia and of the renal function |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
POTASSIUM LOWERING DIURETICS CLASS CODE: C03 |
Risk of abrupt arterial hypotension and/or acute renal insufficiency at the start of or when there is an increase of the dosage of the treatment with the ACE inhibitor in cases of pre-existing fluid depletion |
Precaution for use In arterial hypertension, when there is fluid depletion from a previous treatment with a diuretic, it is necessary: --either to stop the diuretic before beginning the treatment with the ACE inhibitor, and to reintroduce a potassium lowering diuretic if necessary later; --or administer reduced doses of the ACE inhibitor and increase dosage progressively. In congestive heart failure treated with diuretics, begin with a very low dose of the ACE inhibitor, possibly after reducing the dose of the potassium lowering diuretic taken simultaneously In all cases, monitor renal function (creatinemia) in the first weeks of the treatment with the ACE inhibitor |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
EPLERENONE RxNorm: 298869 ATC: C03DA04 |
Increase of the risk of hyperkalemia, especially with older patients. |
Precaution for use Strict testing of the kalemia and of renal function during the administration of these substances together. |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
ESTRAMUSTINE RxNorm: 4089 ATC: L01XX11 |
Risk of increase of the undesirable effects of the angioneurotic edema type (angioedema) |
Not recommended |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
EVEROLIMUS RxNorm: 141704 ATC: L01XE10 L04AA18 |
Increase of the risk of angioedema |
Take into account |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
GLIPTINS CLASS CODE: A10B-001 |
Increase of the risk of the onset of angioedema, due to reduction of the activity of the enzyme dipetidyl peptidase-4 (DDP-4) by the gliptin, in patients treated with the ACE inhibitor |
Take into account |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
INSULIN RxNorm: 5856 ATC: A10AC01 A10AC02 A10AC03 A10AC04 A10AD01 A10AD02 A10AD03 A10AD04 A10AD05 A10AE01 A10AE02 A10AE03 A10AE04 A10AE05 A10AF01 |
The use of an ACE inhibitor can lead to an increase of the hypoglycemic effect in a diabetic treated with insulin. The onset of hypoglycemic difficulties seems exceptional (improvement of the tolerance for glucose that would have the result of a reduction of the need for insulin). |
Precaution for use Reinforce self-monitoring of blood glucose |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
LITHIUM RxNorm: 6448 ATC: D11AX04 |
Increase of the plasma concentrations of lithium which can reach toxic values (decrease of the renal excretion of the lithium) |
Not recommended If the use of an ACE inhibitor is indispensable, strict monitoring of the plasma concentrations of lithium and adjustment of the dosage of the lithium. |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
GOLD RxNorm: 1311190 ATC: V10AX06 Gold preparations which may or may not be affected by interactions M01CB01 M01CB02 M01CB03 M01CB04 M01CB05 V10AX06 |
With the gold salts administered by IV route: risk of “nitritoid” reaction when the ACE inhibitor is introduced (nausea, vomiting, vasomotor effects of the flushing type, hypotension, possibly a drop in blood pressure) |
Take into account |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
POTASSIUM RxNorm: 8588 ATC: A12BA |
Hyperkalemia (potentially lethal) especially when there is renal insufficiency (addition of the hyperkalemia inducing effects) |
Not recommended Unless there is hypokalemia. |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
RACECADOTRIL RxNorm: 16738 ATC: A07XA04 |
Risk of increase of the undesirable effects of the angioedema type. |
Contraindication --in case of preceding angioedema with ACE inhibitors Not recommended --in the absence of previous angioedema with ACE inhibitors. |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
SACUBITRIL RxNorm: 1656328 ACT: not found except in the combination valsartan and sacubitril C09DX04 |
Increase of the risk of angiodema |
Contraindication |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
SPIRONOLACTONE RxNorm: 9997 ATC: C03DA01 |
With the spironolactone at dosages from 12.5 to 50 mg per day, and with low doses of ACE inhibitors In the treatment of class III or IV heart failure (NYHA) with an ejection fraction <35% and previous treatment with an ACE inhibitor + a loop diuretic: risk of hyperkalemia, potentially lethal, in case of failure to follow the prescribed doses for this combination of medications. |
Precaution for use Verify the absence of pre-existing hyperkalemia and renal insufficiency. Strict biological monitoring of the kalemia and of the creatinemia (1 time per week during the first month, then one time per month thereafter). |
ANGIOTENSIN CONVERTING ENZYME INHIBITORS (ACE INHIBITORS) CLASS CODE: C09AA |
BLOOD GLUCOSE LOWERING SULFONAMIDES CLASS CODE: A10BB |
The use of an ACE inhibitor can lead to an increase of the hypoglycemic effect in diabetic patients treated with glucose lowering sulfonamides. The onset of hypoglycemic difficulties seems exceptional (improvement of the tolerance for glucose that would have the result of a reduction of the need for the glucose lowering sulfonamides) |
Precaution for use Reinforce self-monitoring of blood glucose. |


Introduction
Skyld AV provides on access virus scanning for Linux.
The fanotify API is used to control file access. This requires a kernel compiled with
CONFIG_FANOTIFY=y CONFIG_FANOTIFY_ACCESS_PERMISSIONS=y
On Debian and Fedora you can check the configuration with
grep CONFIG_FANOTIFY /boot/config-$(uname -r)
Kernel version 3.8.0 or newer is recommended. You can check the version you are using with
uname -a
ClamAV is used for scanning.
Download
Download as .zip
Download as .tar.gz
View on GitHub
Installation
Install build dependencies. For Debian use the following command
sudo apt-get install git autoconf-archive libclamav-dev libmount-dev \ libcap-dev
Clone the git repository.
git clone https://github.com/xypron/skyldav.git skyldav
Move to the source directory.
cd skyldav/
Update from git repository.
git pull
Create the configure script.
autogen.sh
Configure the package.
./configure
Build the package.
make
Test the package.
make check
Install the package.
sudo make install
In directory examples files are supplied which can be used to start Skyld AV as daemon on a Debian system. Copy these to /etc/init.d and /etc/default.


|
Mini51 BSP
V3.02.002
The Board Support Package for Mini51 Series
|
Data Structures | |
| struct | ACMP_T |
| #define | ACMP_CMPCR_ACMPEN_Pos (0) |
| #define | ACMP_CMPCR_ACMPEN_Msk (0x1ul << ACMP_CMPCR_ACMPEN_Pos) |
| #define | ACMP_CMPCR_ACMPIE_Pos (1) |
| #define | ACMP_CMPCR_ACMPIE_Msk (0x1ul << ACMP_CMPCR_ACMPIE_Pos) |
| #define | ACMP_CMPCR_HYSEN_Pos (2) |
| #define | ACMP_CMPCR_HYSEN_Msk (0x1ul << ACMP_CMPCR_HYSEN_Pos) |
| #define | ACMP_CMPCR_NEGSEL_Pos (4) |
| #define | ACMP_CMPCR_NEGSEL_Msk (0x1ul << ACMP_CMPCR_NEGSEL_Pos) |
| #define | ACMP_CMPCR_RISING_Pos (8) |
| #define | ACMP_CMPCR_RISING_Msk (0x1ul << ACMP_CMPCR_RISING_Pos) |
| #define | ACMP_CMPCR_FALLING_Pos (9) |
| #define | ACMP_CMPCR_FALLING_Msk (0x1ul << ACMP_CMPCR_FALLING_Pos) |
| #define | ACMP_CMPCR_CPPSEL_Pos (29) |
| #define | ACMP_CMPCR_CPPSEL_Msk (0x3ul << ACMP_CMPCR_CPPSEL_Pos) |
| #define | ACMP_CMPSR_ACMPF0_Pos (0) |
| #define | ACMP_CMPSR_ACMPF0_Msk (0x1ul << ACMP_CMPSR_ACMPF0_Pos) |
| #define | ACMP_CMPSR_ACMPF1_Pos (1) |
| #define | ACMP_CMPSR_ACMPF1_Msk (0x1ul << ACMP_CMPSR_ACMPF1_Pos) |
| #define | ACMP_CMPSR_ACMPCO0_Pos (2) |
| #define | ACMP_CMPSR_ACMPCO0_Msk (0x1ul << ACMP_CMPSR_ACMPCO0_Pos) |
| #define | ACMP_CMPSR_ACMPCO1_Pos (3) |
| #define | ACMP_CMPSR_ACMPCO1_Msk (0x1ul << ACMP_CMPSR_ACMPCO1_Pos) |
| #define | ACMP_CMPRVCR_CRVS_Pos (0) |
| #define | ACMP_CMPRVCR_CRVS_Msk (0xful << ACMP_CMPRVCR_CRVS_Pos) |
| #define | ACMP_CMPRVCR_OUT_SEL_Pos (7) |
| #define | ACMP_CMPRVCR_OUT_SEL_Msk (0x1ul << ACMP_CMPRVCR_OUT_SEL_Pos) |
MINI51 Device Specific Peripheral registers structures
| #define ACMP_CMPCR_ACMPEN_Msk (0x1ul << ACMP_CMPCR_ACMPEN_Pos) |
ACMP_T::CMPCR: ACMPEN Mask
Definition at line 327 of file Mini51Series.h.
| #define ACMP_CMPCR_ACMPEN_Pos (0) |
@addtogroup ACMP_CONST ACMP Bit Field Definition Constant Definitions for ACMP Controller
ACMP_T::CMPCR: ACMPEN Position
Definition at line 326 of file Mini51Series.h.
| #define ACMP_CMPCR_ACMPIE_Msk (0x1ul << ACMP_CMPCR_ACMPIE_Pos) |
ACMP_T::CMPCR: ACMPIE Mask
Definition at line 330 of file Mini51Series.h.
| #define ACMP_CMPCR_ACMPIE_Pos (1) |
ACMP_T::CMPCR: ACMPIE Position
Definition at line 329 of file Mini51Series.h.
| #define ACMP_CMPCR_CPPSEL_Msk (0x3ul << ACMP_CMPCR_CPPSEL_Pos) |
ACMP_T::CMPCR: CPP0SEL Mask
Definition at line 345 of file Mini51Series.h.
| #define ACMP_CMPCR_CPPSEL_Pos (29) |
ACMP_T::CMPCR: CPP0SEL Position
Definition at line 344 of file Mini51Series.h.
| #define ACMP_CMPCR_FALLING_Msk (0x1ul << ACMP_CMPCR_FALLING_Pos) |
ACMP_T::CMPCR: FALLING Mask
Definition at line 342 of file Mini51Series.h.
| #define ACMP_CMPCR_FALLING_Pos (9) |
ACMP_T::CMPCR: FALLING Position
Definition at line 341 of file Mini51Series.h.
| #define ACMP_CMPCR_HYSEN_Msk (0x1ul << ACMP_CMPCR_HYSEN_Pos) |
ACMP_T::CMPCR: HYSEN Mask
Definition at line 333 of file Mini51Series.h.
| #define ACMP_CMPCR_HYSEN_Pos (2) |
ACMP_T::CMPCR: HYSEN Position
Definition at line 332 of file Mini51Series.h.
| #define ACMP_CMPCR_NEGSEL_Msk (0x1ul << ACMP_CMPCR_NEGSEL_Pos) |
ACMP_T::CMPCR: NEGSEL Mask
Definition at line 336 of file Mini51Series.h.
| #define ACMP_CMPCR_NEGSEL_Pos (4) |
ACMP_T::CMPCR: NEGSEL Position
Definition at line 335 of file Mini51Series.h.
| #define ACMP_CMPCR_RISING_Msk (0x1ul << ACMP_CMPCR_RISING_Pos) |
ACMP_T::CMPCR: RISING Mask
Definition at line 339 of file Mini51Series.h.
| #define ACMP_CMPCR_RISING_Pos (8) |
ACMP_T::CMPCR: RISING Position
Definition at line 338 of file Mini51Series.h.
| #define ACMP_CMPRVCR_CRVS_Msk (0xful << ACMP_CMPRVCR_CRVS_Pos) |
ACMP_T::CMPRVCR: CRVS Mask
Definition at line 360 of file Mini51Series.h.
| #define ACMP_CMPRVCR_CRVS_Pos (0) |
ACMP_T::CMPRVCR: CRVS Position
Definition at line 359 of file Mini51Series.h.
| #define ACMP_CMPRVCR_OUT_SEL_Msk (0x1ul << ACMP_CMPRVCR_OUT_SEL_Pos) |
ACMP_T::CMPRVCR: OUT_SEL Mask
Definition at line 363 of file Mini51Series.h.
| #define ACMP_CMPRVCR_OUT_SEL_Pos (7) |
ACMP_T::CMPRVCR: OUT_SEL Position
Definition at line 362 of file Mini51Series.h.
| #define ACMP_CMPSR_ACMPCO0_Msk (0x1ul << ACMP_CMPSR_ACMPCO0_Pos) |
ACMP_T::CMPSR: ACMPO0 Mask
Definition at line 354 of file Mini51Series.h.
| #define ACMP_CMPSR_ACMPCO0_Pos (2) |
ACMP_T::CMPSR: ACMPO0 Position
Definition at line 353 of file Mini51Series.h.
| #define ACMP_CMPSR_ACMPCO1_Msk (0x1ul << ACMP_CMPSR_ACMPCO1_Pos) |
ACMP_T::CMPSR: ACMPO1 Mask
Definition at line 357 of file Mini51Series.h.
| #define ACMP_CMPSR_ACMPCO1_Pos (3) |
ACMP_T::CMPSR: ACMPO1 Position
Definition at line 356 of file Mini51Series.h.
| #define ACMP_CMPSR_ACMPF0_Msk (0x1ul << ACMP_CMPSR_ACMPF0_Pos) |
ACMP_T::CMPSR: ACMPF0 Mask
Definition at line 348 of file Mini51Series.h.
| #define ACMP_CMPSR_ACMPF0_Pos (0) |
ACMP_T::CMPSR: ACMPF0 Position
Definition at line 347 of file Mini51Series.h.
| #define ACMP_CMPSR_ACMPF1_Msk (0x1ul << ACMP_CMPSR_ACMPF1_Pos) |
ACMP_T::CMPSR: ACMPF1 Mask
Definition at line 351 of file Mini51Series.h.
| #define ACMP_CMPSR_ACMPF1_Pos (1) |
ACMP_T::CMPSR: ACMPF1 Position
Definition at line 350 of file Mini51Series.h.


UI / UX Design, Frontend Developer
EST 2020
For business inquiries,
<EMAIL_ADDRESS>The designated liaison for all campaign relations in pursue to broaden her career path in the Developer world, with a proven ability to meet business requirements. Planning, creating and managing content across different communication functions. Able to grow and develop in a dynamic environment with a flexible perspective. Successfully increased revenue and customer base. Consistently achieved objectives and are not averse to change.
7 November 2020
10 November 2020
11 November 2020


KeyboardLayoutLoader QML Type
Allows dynamic loading of keyboard layout. More...
| Import Statement: | import QtQuick.VirtualKeyboard 2.2 |
| Since: | QtQuick.VirtualKeyboard 1.1 |
| Inherits: |
Properties
- inputMethod : var
- inputMode : int
- sharedLayouts : var
Methods
Detailed Description
This type is useful for keyboard layouts consisting of multiple pages of keys.
A single keyboard layout (a page) is defined by using the Component as a container. The active keyboard layout can then be changed by setting the sourceComponent property to a different value.
Example:
import QtQuick 2.0 import QtQuick.Layouts 1.0 import QtQuick.VirtualKeyboard 2.1 // file: layouts/en_GB/symbols.qml KeyboardLayoutLoader { property bool secondPage onVisibleChanged: if (!visible) secondPage = false sourceComponent: secondPage ? page2 : page1 Component { id: page1 KeyboardLayout { // Keyboard layout definition for page 1 } } Component { id: page2 KeyboardLayout { // Keyboard layout definition for page 2 } } }
Property Documentation
inputMethod : var |
Sets the input method for all the keyboard layouts loaded in this context.
The input method can either be set separately for each keyboard layout, or commonly at this context. If set separately, then this property should not be modified.
Sets the input mode for all the keyboard layouts loaded in this context.
The input mode can either be set separately for each keyboard layout, or commonly at this context. If set separately, then this property should not be modified.
sharedLayouts : var |
List of layout names which share the input method created by the createInputMethod() function.
If the list is empty (the default) the input method is not shared with any other layout and will be destroyed when the layout changes.
The list should contain only the name of the layout type, e.g., ['symbols']. The current layout does not have to be included in the list.
Method Documentation
This function may be overridden by the keyboard layout to create the input method object dynamically. The default implementation forwards the call to the child keyboard layout.
The input method object created by this function can outlive keyboard layout transitions in certain cases. In particular, this applies to the transitions between the layouts listed in the sharedLayouts property.


What you need. When You need it.
Through The Helping Hands foundation, the Government of India has initiated a collaborative effort between all the engineering colleges of the nation and its public transportation services. Together, we have created an Advanced No Contact Delivery System that can enable the consumers of the country to shop for supplies without having to leave the comfort and the safety of their homes.
Customers can choose from shops within 3, 5, and 10 kilometers radius from their current GPS location. Delivery charges will increase as distance from your GPS location increases.
Upon Choosing the shop, the items present in the shop will be displayed along with its prices. A final bill with total cost and delivery charges will be displayed. (Delivery is free for 5km radius)
Customers will be provided delivery options. The customers can opt to deliver their items by transport bus, which will deliver each day's orders in bulk from 4:00 p.m. to 8:00 p.m, or by auto-rikshaw/cab, which will collect the order based on instant availability.
While transport bus delivery is cheaper, it will not be available for houses that are not along the main roads. The delivery option might be greyed out according to the current GPS location.Next Customers can opt for No-Contact Delivery (NCD) or Advanced No-Contact Delivery (ANCD). Advanced no contact delivery is done using drones. It can be selected only if total weight of package is less than 500 grams.
There will be extra charge for ANCDThe bill can be paid via UPI, Net Banking, Credit Card or Debit Card. There will be an option for donation of additional amounts too.
On paymement, an estimated time of arrival will be displayed. Customers can also view the bus/rikshaw/cab's current position live in a map on their order screen.
All deliveries are No Contact Deliveries (NCD) by default, which does not require any extra charge. If Advanced No Contact Delivery (ANCD) is opted, then customers will have to pay an additional Rs. 10
| # | Distance from House | Add-on |
|---|---|---|
| 1. | 3 KM | Nil. |
| 2. | 5 KM | Rs.10 |
| 3. | 10 KM | Rs.20 |
| # | Distance from House | Add-on |
|---|---|---|
| 1. | 3 KM | Rs.10 |
| 2. | 5 KM | Rs.12 |
| 3. | 10 KM | Rs.20 |


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java.lang.Object | +--org.apache.axis.deployment.wsdd.WSDDElement | +--org.apache.axis.deployment.wsdd.WSDDDeployment
WSDD deployment element
| Field Summary | |
protected static org.apache.commons.logging.Log |
log
|
| Fields inherited from interface org.apache.axis.EngineConfiguration |
PROPERTY_NAME |
| Constructor Summary | |
WSDDDeployment()
Default constructor |
|
WSDDDeployment(org.w3c.dom.Element e)
Create an element in WSDD that wraps an extant DOM element |
| Method Summary | |
void |
configureEngine(AxisEngine engine)
Configure this AxisEngine using whatever data source we have. |
void |
deployHandler(WSDDHandler handler)
Put a WSDDHandler into this deployment, replacing any other WSDDHandler which might already be present with the same QName. |
void |
deployService(WSDDService service)
Put a WSDDHandler into this deployment, replacing any other WSDDHandler which might already be present with the same QName. |
void |
deployToRegistry(WSDDDeployment target)
|
void |
deployTransport(WSDDTransport transport)
Put a WSDDTransport into this deployment, replacing any other WSDDTransport which might already be present with the same QName. |
void |
deployTypeMapping(WSDDTypeMapping typeMapping)
|
protected QName |
getElementName()
Return the element name of a particular subclass. |
WSDDGlobalConfiguration |
getGlobalConfiguration()
Get our global configuration |
java.util.Hashtable |
getGlobalOptions()
Returns the global configuration options. |
Handler |
getGlobalRequest()
Returns a global request handler. |
Handler |
getGlobalResponse()
Returns a global response handler. |
Handler |
getHandler(QName name)
retrieve an instance of the named handler |
SOAPService |
getService(QName name)
retrieve an instance of the named service |
SOAPService |
getServiceByNamespaceURI(java.lang.String namespace)
Get a service which has been mapped to a particular namespace |
WSDDService[] |
getServices()
Return an array of the services in this deployment |
Handler |
getTransport(QName name)
retrieve an instance of the named transport |
TypeMapping |
getTypeMapping(java.lang.String encodingStyle)
|
TypeMappingRegistry |
getTypeMappingRegistry()
Retrieve the TypeMappingRegistry for this engine |
WSDDTypeMapping[] |
getTypeMappings()
|
WSDDService |
getWSDDService(QName qname)
Return the WSDD description for a given named service |
void |
registerNamespaceForService(java.lang.String namespace,
WSDDService service)
Register a particular namepsace which maps to a given WSDDService. |
void |
removeNamespaceMapping(java.lang.String namespace)
Remove a namespace -> WSDDService mapping. |
void |
setGlobalConfiguration(WSDDGlobalConfiguration globalConfig)
|
void |
undeployHandler(QName qname)
Remove a named handler |
void |
undeployService(QName qname)
Remove a named service |
void |
undeployTransport(QName qname)
Remove a named transport |
void |
writeEngineConfig(AxisEngine engine)
Read the configuration from an engine, and store it somehow. |
void |
writeToContext(SerializationContext context)
Write this element out to a SerializationContext |
| Methods inherited from class org.apache.axis.deployment.wsdd.WSDDElement |
getChildElement, getChildElements, getDocumentation |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
protected static org.apache.commons.logging.Log log
| Constructor Detail |
public WSDDDeployment()
public WSDDDeployment(org.w3c.dom.Element e) throws WSDDException
e
- (Element) XXXWSDDException
- XXX| Method Detail |
public void deployHandler(WSDDHandler handler)
handler
- a WSDDHandler to insert in this deploymentpublic void deployTransport(WSDDTransport transport)
transport
- a WSDDTransport to insert in this deploymentpublic void deployService(WSDDService service)
handler
- a WSDDHandler to insert in this deploymentpublic void undeployHandler(QName qname)
qname
- the QName of the handler to removepublic void undeployService(QName qname)
qname
- the QName of the service to removepublic void undeployTransport(QName qname)
qname
- the QName of the transport to removepublic void deployTypeMapping(WSDDTypeMapping typeMapping) throws WSDDException
deployTypeMapping
in interface WSDDTypeMappingContainer
protected QName getElementName()
WSDDElement
getElementName
in class WSDDElement
public void deployToRegistry(WSDDDeployment target) throws DeploymentException
public void writeToContext(SerializationContext context) throws java.io.IOException
WSDDElement
writeToContext
in class WSDDElement
public WSDDGlobalConfiguration getGlobalConfiguration()
public void setGlobalConfiguration(WSDDGlobalConfiguration globalConfig)
public WSDDTypeMapping[] getTypeMappings()
public WSDDService[] getServices()
public WSDDService getWSDDService(QName qname)
public Handler getHandler(QName name) throws ConfigurationException
EngineConfiguration
getHandler
in interface EngineConfiguration
name
- XXXpublic Handler getTransport(QName name) throws ConfigurationException
EngineConfiguration
getTransport
in interface EngineConfiguration
name
- XXXpublic SOAPService getService(QName name) throws ConfigurationException
EngineConfiguration
getService
in interface EngineConfiguration
name
- XXXpublic SOAPService getServiceByNamespaceURI(java.lang.String namespace) throws ConfigurationException
EngineConfiguration
getServiceByNamespaceURI
in interface EngineConfiguration
org.apache.axis.EngineConfiguration
namespace
- a namespace URIpublic void configureEngine(AxisEngine engine) throws ConfigurationException
EngineConfiguration
configureEngine
in interface EngineConfiguration
org.apache.axis.EngineConfiguration
engine
- the AxisEngine we'll deploy state toConfigurationException
- if there was a problempublic void writeEngineConfig(AxisEngine engine) throws ConfigurationException
EngineConfiguration
writeEngineConfig
in interface EngineConfiguration
org.apache.axis.EngineConfiguration
engine
- the AxisEngine from which to read state.ConfigurationException
- if there was a problempublic TypeMapping getTypeMapping(java.lang.String encodingStyle) throws ConfigurationException
public TypeMappingRegistry getTypeMappingRegistry() throws ConfigurationException
EngineConfiguration
getTypeMappingRegistry
in interface EngineConfiguration
public Handler getGlobalRequest() throws ConfigurationException
EngineConfiguration
getGlobalRequest
in interface EngineConfiguration
public Handler getGlobalResponse() throws ConfigurationException
EngineConfiguration
getGlobalResponse
in interface EngineConfiguration
public java.util.Hashtable getGlobalOptions() throws ConfigurationException
EngineConfiguration
getGlobalOptions
in interface EngineConfiguration
public void registerNamespaceForService(java.lang.String namespace, WSDDService service)
namespace
- a namespace URIservice
- the target WSDDServicepublic void removeNamespaceMapping(java.lang.String namespace)
namespace
- the namespace URI to unmap
|
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Working Dogs for Conservation has three primary aims: monitoring endangered wildlife, defining wildlife corridors and helping eradicate damaging invasive species; all while ensuring rich and rewarding lives for our canine partners.
Declines of rare and threatened species worldwide has necessitated development of non-invasive wildlife surveying methods. These include: camera traps, hair snag stations, and the collection of fecal (scat) samples. Of these, scat samples offer a wealth of information about a species’ distribution, relative abundance, diet, and even individuals’ health, habitat use and home range size. The hormones and DNA extracted from scats can provide insight on the sex and reproductive status of individuals, which in turn can be used to determine population size, home range, paternity, and kinship, information that is critical to the success of management and conservation initiatives.
It can be as daunting a task to locate the signs of elusive wildlife species (e.g. scat, urine, hair, dens) as it is to locate the animals themselves. This is especially the case in rugged terrain and with species that are nocturnal, cryptic, wide ranging or rare. In some cases, contact with people can pose a risk to the species under consideration. WDC places a high value on scientific integrity and has the best interests of wildlife species very much at heart. We maximize the efficiency of our searches, ensure the data collected is of the highest quality, and minimize contact with the animals themselves by pairing handlers, who are also biologists, with detection dogs specially trained to differentiate and locate the scat of target species. Our dog / handler teams are able to cover large areas without disturbing wildlife, livestock or domestic animals and without luring animals or changing their behavior, which can influence study results.
News, Links and Research
Parker, M. 2011. Wildlife Detection Dogs. Wildlife Professional. 47-49.
Duggan, J.M., E.J. Heske, R.L. Schooley, A. Hurt and A. Whitelaw. 2011. Comparing detection dog and live trapping surveys for a cryptic rodent. Journal of Wildlife Management. 75(5): 1029-1217.
Fajardo, I., A. Ruiz, I. Zorilla, A. Valero, I. Fernandez, E. Saez, F.M. Molino, and J. Olivares. 2011. Use of Specialised Canine Units to Detect Poisoned Baits and Recover Forensic Evidence in Andalucía (southern Spain). In: N.L. Richards (ed), Carbofuran and Wildlife Poisoning: Global Perspectives and Forensic Approaches. (pp. 147-155). John Wiley & Sons, Ltd.
Reed, S.E., A.L. Bidlack, A. Hurt, and W.M. Getz. 2010. Detection distance and environmental factors in conservation detection dog surveys. Journal of Wildlife Management. 75(1): 243-251.
Ralls, K., S. Sharma, D.A. Smith, S. Bremner-Harrison, B. L. Cypher, and J.E. Maldonado. 2010. Changes in kit fox defecation patterns during the reproductive season: Implications for noninvasive surveys. Journal of Wildlife Management. 74(7): 1457-1462.


Why didn’t Ant do I’m A Celeb in 2018 and what is Holly Willoughby doing now?
I’m A Celebrity 2019 kicks off on Sunday night – and as well as introducing 10 new famous faces to life in the jungle, it also reunites Ant and Dec down under.
Ant McPartlin is back on the show alongside his trusty presenting partner after sitting out the 2018 series – leaving Holly Willoughby to step in as co-host with Dec Donnelly.
So just why did Ant miss the 2018 series?
Here’s what you need to know…
Why didn’t Ant do I’m A Celebrity last year?
Ant pulled out of hosting I’m A Celebrity 2018 after he stepped away from his TV commitments following a drink driving conviction and battles with alcohol and prescription drugs.
The 43-year-old took the time out to focus on his health, pulling out of Britain’s Got Talent and Saturday Night Takeaway, with Dec forced to go it alone in the BGT 2018 live shows, as well as host some instalments of Saturday Night Takeaway alone.
Holly Willoughby stepped in to replace Ant in the 2018 series – the first one he had missed since the show began in 2002.
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It was confirmed earlier this year however that Dec would return to I’m A Celebrity – and he’s said how excited he is to be back.
‘I’m very, very excited about getting back on the show,’ he told The Sun, adding: ‘It’s a brilliant place to work and a brilliant part of the world to be in.
‘Plus. I’m back with my best friend. I can’t wait.’
What is Holly Willoughby up to at the moment?
Holly is back presenting This Morning alongside Phillip Schofield.
It was recently announced that you’re getting even more This Morning for your money come 2020, with the show being extended by 30 minutes as part of ITV’s revamped morning schedule. next year.
You’ll also be seeing her and Phillip back on Sunday nights when Dancing On Ice returns to screens early next year.
I’m A Celebrity kicks off on ITV on Sunday night at 9pm.
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


Created by Ben Attenborough / @WebDesignerBen
According to the WordPress Codex:
“Plugins are ways to extend and add to the functionality that already exists in WordPress.
The core of WordPress is designed to be lean and lightweight, to maximize flexibility and minimize code bloat. Plugins then offer custom functions and features so that each user can tailor their site to their specific needs.”
There is no such thing as an essential plugin.
If a plugin were 'essential' to the running of WordPress it would be already have been incorporated into the core of WordPress
Rather than asking what plugins you should use, ask yourself what functionality you need your site to have.
For anything more than a hobbyist site you should plan out what you want to achieve. Think about what the essential objectives of your site are and plan to meet those.
Beware of adding lots of bells and whistles to your site - you might end up distracting users from what you really want to achieve.
The idea of planning a site is to boil things down to the essentials and focus on your key objectives.
This will help when selecting plugins, but will also help avoid the site growing out of control. The easier it is for a user to get the information the better. Ideally the user will be able to get the information from the front page without clicking on anything...
...With this in mind think about simple ways to implement your objectives without using plugins. For example do you need a contact form on your site when a simple email address will do the job?
Develop your site locally. Spin up a test site, seperate from your main project and have fun experimenting with plugins there. Test them and make decisions there before installing on your main site.
Research your plugins. Look at reviews, number of installs etc. But also look at the level of support - check out resources such as wpmudev
Backup your database and files before updating plugins - but keep plugins and WordPress core updated
Themes do more than control the look of a site. They provide areas for posts and widgets to appear in and can affect the content of posts.
Therefore be aware that some plugins will not work with some themes, and that some themes have been written with specific plugins in mind - so other plugins may not sit happily with them.
If you are thinking of using a bespoke theme for your project you need to consider how it will affect plugin functionality. Again this comes down to planning.
The WordPress Codex is the official documentation and first port of call for probelms
www.wpbeginner.com is a great resources, for beginners especially - but also for people looking to get into development
premium.wpmudev.org has a useful blog
codecanyon.net has a load of premium WordPress plugins. These are paid for but are tested by the envato team and come with excellent support
wp-cli.org is where to go to get and find out more about wp-cli, a command line interface for WordPress
teamtreehouse.com is an excellent (paid for) series of tutorials on WordPress by Zac Gordon which will take you all the way from beginner to starting to build your own themes and plugins.
wpdevelopersclub.com is an online school for learning about WordPress - but from the fundamentals of computer science upwards. Still a new site but worth a look
Installing WP-CLI on a Mac (for XAMPP) is a quick five minute video to get you up and running with WP-CLI
wpmudev have provided a good guide to the development of WP-CLI and its possible uses
Tim Nash has a neat video series on WP-CLI, chekout Beginner's guide, Extending WP-CLI and Shell scripting in WP-CLI


{%extends 'navigation.html'%} {%load static%} {%block body%}
The Share N Learn is a platform where both students and faculties can upload all the important notifications and learning materials. Proper Care is taken to preserve the user details and the uploaded content.


Web Software Engineer Trainee
Detour.com, San Francisco, U.S.
07/2016 - now
Build from scratch a Content Management Platform - Decentral - an isomorphic Web app which uses React Redux and Hapi server.
Maintain existing Websites and Admin panels.
Implement endpoints of the NodeJS API to support Web features.
Java Software Engineer
IDT Messaging Oy, Helsinki, Finland
10/2015 - 05/2016
Research for Master Thesis on Microservices Communication - Benchmarking gRPC vs. Apache Thrift vs. Avro
Develop third-party API connectors to aggregate data for MagicWords® backend in Java/Xtend
C# Software Engineer
Yokogawa International Electric, Singapore, Singapore
05/2012 - 07/2014
Feasibility investigations of OPC-UA protocol stack for real-time communications from data acquisition devices such as PLCs to .NET components.
Implemented solutions and wrote unit test cases in C# and Prism MVVM Framework
Designed database-schemas and XML schemas for data models
Transformed high-level specifications into detailed technical designs with UML diagrams


{% extends "global/Page.html" %} {% load otree static %} {% block title %} Characters {% endblock %} {% block content %}
In each section, you will be randomly assigned a character. In the example below, you will be Jim throughout session 1; similarly, Michael will be played by another participant in your group throughout session 1, and the same holds for other characters. For each question, all {{ Constants.players_per_group}} characters in your group will have a chance to place their bets in a sequential manner. Specifically, for each question, an order assignment will be generated by character Michael-- which determines who goes first, second, etc. In the example below, you are # 2 in the queue for this question; you will be able to submit your decision after the first player has submitted a decision.
{% next_button %}(If the image is not loading properly, please right click on the image icon, and select "Open Image in New Tab".)
{% endblock %}


Unique wood fired pizzas or be tempted by our pasta, antipasto, focacias, salads and Bruschetta dishes.
Relax in the friendly ambience as you enjoy the aromas of the wood ovens or sit al fresco and soak up
the
Mildura sunshine.
Food description that is followed
after food title
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after food title
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after food title
We bring the season’s best mix of organic produce and hand-
crafted farm products conveniently to your door by growing and
partnering with local farms and artisans in your area.
- Loo Hudson
Unique wood fired pizzas or be tempted by our pasta, antipasto, focacias, salads and Bruschetta
dishes.
Relax in the friendly ambience as you enjoy the aromas of the wood ovens or sit al fresco and soak up
the
Mildura sunshine.
Book Now
Copyright moringa restaurant


--- layout: skeleton --- Isomer Rapidly launch an informational website for your Government agency Get in touch Isomer Rapidly launch an informational website for your Government agency See Examples TRUSTED BY THESE AGENCIES SHOWCASE Websites generated using Isomer Our websites are compliant-by-design, so that you can focus on your content Visit Site Hotels Licensing Board Visit Site Strategy Group Visit Site Board of Architects INFO SHEET Need help convincing your agency leaders? Download Info Sheet Ready to start? We will discuss with you on your needs and help you come onboard Isomer. Get in touch
Rapidly launch an informational website for your Government agency
TRUSTED BY THESE AGENCIES
SHOWCASE
Our websites are compliant-by-design, so that you can focus on your content
INFO SHEET
We will discuss with you on your needs and help you come onboard Isomer.


Before Change
numpy.array
The detailed Recall scores for each query, an array of length of the number of queries.
super(Recall, self).eval(dataset, y_pred)
for query_id, query_y, query_y_pred in self.query_iterator(dataset, y_pred):
self.detailed_scores[query_id] = self.eval_per_query(query_y, query_y_pred)
return self.detailed_scores.mean(), self.detailed_scores
def eval_per_query(self, y, y_pred):
After Change
numpy.array
The detailed Recall scores for each query, an array of length of the number of queries.
return super(Recall, self).eval(dataset, y_pred)
def eval_per_query(self, y, y_pred):


Application complete
Your application to change the title register has been received. You’ll be notified when the changes have been made.
If you've any questions about your application, contact the Land Registry, quoting the title number.
Your application to change the title register has been received. You’ll be notified when the changes have been made.
If you've any questions about your application, contact the Land Registry, quoting the title number.


In Bite 251 we looked at creating some simple pandas
Series. In this Bite we continue where we left off and look at retrieving values and indexes of different types from Series.
You might be wondering how is this of any use to me. To remind you again Series could be considered the foundation Data Type of pandas
. Dataframes are just a number of 1 dimension Series stuck together to form a 2 dimensional spreadsheet like object.
Now that you know how to create a Series you want to get specific elements from Series to potentially work on them in some manner. When accessing elements you have multiple options. You can access specific index locations, slices, .loc
and .iloc
functions, research which way you think is best. How you solve this next set of challenges in not the issue, returning the expected values is the requirement to get you used to accessing specific Series indexes / values:
In the next pandas
Bite we will look at more advanced Series operations.


AP Top International News at 1:13 a.m. EST
by EndPlayPro-democracy camp looks to have won big in Hong Kong vote
Pope in Japan says world must rethink reliance on nuke power
Will Netanyahu's party stick with him? Senior leaders quiet
Central American offered asylum in Guatemala opts for home
26 killed as small plane crashes into homes in Congo
North Korea conducts artillery firing at Kim's order
Kenya flooding death toll rises to 60; 7 others missing
Romania's President Klaus Iohannis wins 2nd term in runoff
Uruguay's opposition has narrow lead in presidential vote
Verdict nears for priests accused of abuse in Argentina


There are a number of ways of extending query execution. This page describes how to interface ARQ to data which requires an alternative is not in a Jena graph.
Property functions provide the most convenient way of adding custom code to the graph matching process for specific predicates. The free text search capabilities, using Lucene, are done this way.
To replace several or all triple patterns in a SPARQL basic graph pattern (BGP) matching in a query, an application can enhance the main query engine and intercept the BGP matching process.
This page describes how to interface ARQ to data which requires an alternative matching for the BGP
BGP matching proceeds a number of "stages". Each stage matches a subset of the basic graph pattern.
@@Standard : break into plain BGP/ property function. Optimize each plain BGP
The normal BGP matching is a single stage that finds all bindings for variables for a pattern.
@@stages
The query optimizer prefers execution plans that pass the results from previous patterns into later stages. This enables maximal indexing of pattern matching.
@@Somewhere: Bindings / Query Iterators
Query optimization, input and substitution


Multicast / Unicast Configuration
When you want to configure the Networking options using the
Multicast / Unicast configuration button (),
the PAG user interface will be disabled until the configuration is finished.
To show this a semi-transparent "curtain" is drawn.
The Network configuration is usually set up to automatically configure
the bridging.
To change the configuration you can select:
- Automatic Configuration
- In this setting PAG determines your networking capabilities by
contacting the Point of Reference Server (a server that reliably
responds to network requests, i.e. ping). It first tries to use
multicasting to send packages to the other AG clients. If the built in
Point of Reference Client does not get a response (in time) it changes
to unicast and tries to find a suitable bridge in the Bridge registry.
It successively checks trough the list and switches to a "good" bridge.
- Multicast
- This setting disables the automatic Bridge switching and sets PAG
to use Multicasting. Only use this if you know that your network has
Multicasting relieably enabled.
- Unicast
- This setting disables the automatic Bridge switching and sets PAG
to use a unicast bridge of your choice to be selected from the given
Bridge registries. Use this if you know a reliable
bridge at (or near) your site and assume multicast not to work.
Point of Reference
The Point of Reference is a server that reliably responds to network
requests, i.e. ping. Each PAG server comes by default with its own Point
of Reference server that you should be able to contact. This server
should be set up by the local administrator of the PAG server.
Bridge Registries
The Bridge Registry provides a list of Bridges available to be used by
Access Grid sessions. The default should be set by the local
administrator of the PAG server.


Md Mobbasher AnsariA passionate Full Stack Developer with a keen interest in web development and solving DSA problems. I like to build and apply algorithms to solve real-world industry problems. |
Jadavpur University
S.A.M secondary school
Eastern Railway High school
| Web development | ❤❤❤❤❤ |
| Web development | ❤❤❤❤❤ |
| Web development | ❤❤❤❤❤ |


Plugin Information |
|---|
View crittercism-dsym on the plugin site for more information. |
The current version of this plugin may not be safe to use. Please review the following warnings before use:
A Jenkins CI plugin for uploading dSYM files to Crittercism.
crittercism-dsym-plugin
This Jenkins CI plugin allows for a post build step that uploads dSYM files via Crittercism's API. The dSYM files are used for symbolication of iOS binaries in Crittercism crash logs. As such, this plugin is only helpful for Mac OSX hosts.
USING THE CRITTERCISM-DSYM-PLUGIN:
- After installation, add a post-build step with the option 'Upload dSYM to Crittercism'.
- The plugin requires three fields:
* API Key - Retrieve this from Crittercism's app dashboard, under 'Settings'.
* App ID - Also available from the Crittercism app 'Settings'.
* dSYM zip file - Path to the dSYM zip file to be uploaded. You may use environment variables. Ex: '${WORKSPACE}/build/MyApp-dSYM.zip'.
The plugin may encounter the following errors while uploading the dSYM file:
Error 400: There was a problem with the dSYM file. Error 404: App was not found or the given tokens are incorrect.
Note: Depending on your configuration, the dSYM zip file generated in your build steps may be named something like 'MyApp-1.0-dSYM.zip', where 1.0 is your version number and may change with each build. To make things easier for the post-build steps, you can rename your dSYM zip file to something static, such as 'MyApp-dsym.zip'. To accomplish this, add a build step that executes shell commands, such as:
mv ${WORKSPACE}/build/*dSYM.zip ${WORKSPACE}/build/MyApp-dSYM.zip
Changelog
1.1 (released 2013-03-20)
- initial release


{% extends "base.html" %} {% block styles %} {% endblock %} {% block content %}
Kermpany
presents
Get ready to be immersed in a new language and culture! Your journey to fluency will lead you through a range of real-world experiences (e.g. grocery shopping, going to the doctor, eating at a restaurant).
Whether you dream of vacationing in Spain or becoming an ex-pat in Japan, we want you to be prepared to interact with the natives you are sure to run into.
We will sneak all of the learning into the social environment of an online game. It'll be just plain fun and you will want to come back to continue the adventure. You will be able to interact with your friends and race them to the finish!
Learn from your peers (and teach them too!). Our content is driven by the users. Record yourself in your native language and let other leaners benefit from your unique accent.


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Start match
Settings
ADV Settings
Reset Time
Reset Score
Time:
:
Saved!
Effects:
ON
OFF
Show dialog
▼
Goal!
Goal!
Start
{% csrf_token %}
:
Your password:
{{ match.teamA.name }}
{{ match.teamB.name }}
0
:
0
00:00,00
1.


{% load i18n %}
[[ errors.first('actual value') ]]
You have no disaggregations to add to this set of results


Since I never get to meet many of my consulting customers in person,
I like to show a few personal pictures so you have a face to match with my
voice on the telephone.
Mark and Carol in front of the Taj Mahal, Agra India:
Mark in a Samburu villiage, Kenya Africa:


s
elementBuy our Iced Tea and Lemonade!
Recommended retail price: $3.99 per bottle
Now selling for just $2.99 a bottle!

Buy our Iced Tea and Lemonade!

<s>Recommended retail price: $3.99 per bottle</s>

Now selling for just $2.99 a bottle!


Interface PresenceApi
-
@Path("/_matrix/client/r0/presence") @Consumes("application/json") @Produces("application/json") public interface PresenceApi
Each user has the concept of presence information. This encodes:- Whether the user is currently online
- How recently the user was last active (as seen by the server)
- Whether a given client considers the user to be currently idle
- Arbitrary information about the user's current status (e.g. "in a meeting").
This information is collated from both per-device (online, idle, last_active) and per-user (status) data, aggregated by the user's homeserver and transmitted as an m.presence event. This is one of the few events which are sent outside the context of a room. PresenceContent events are sent to all users who subscribe to this user's presence through a presence list or by sharing membership of a room.
A presence list is a list of user IDs whose presence the user wants to follow. To be added to this list, the user being added must be invited by the list owner who must accept the invitation.
User's presence state is represented by the presence key, which is an enum of one of the following:- online : The default state when the user is connected to an event stream.
- unavailable : The user is not reachable at this time e.g. they are idle.
- offline : The user is not connected to an event stream or is explicitly suppressing their profile information from being sent.

 When setting the status, the activity time is updated to reflect that activity; the client does not need to specify the last_active_ago field. You cannot set the presence state of another user.
Rate-limited: Yes.
Requires auth: Yes.
Return:EmptyResponse
.Status code 200: The new presence state was set.
Status code 429: This request was rate-limited.
- Parameters:
userId
- Required. The user whose presence state to update.request
- JSON body request.uriInfo
- Request Information.httpHeaders
- Http headers.asyncResponse
- Asynchronous response.securityContext
- Security context.
-
getPresenceStatus
@GET @Path("/{userId}/status") void getPresenceStatus(@PathParam("userId") String userId, @Context javax.ws.rs.core.UriInfo uriInfo, @Context javax.ws.rs.core.HttpHeaders httpHeaders, @Suspended javax.ws.rs.container.AsyncResponse asyncResponse)
Get the given user's presence state.
Requires auth: Yes. Return:PresenceStatus
.Status code 200: The presence state for this user.
Status code 403: You are not allowed to see this user's presence status.
Status code 404: There is no presence state for this user. This user may not exist or isn't exposing presence information to you.
- Parameters:
userId
- Required. The user whose presence state to get.uriInfo
- Request Information.httpHeaders
- Http headers.asyncResponse
- Asynchronous response.
-
-


Hi {{UserName}} Welcome To The Online Examination Portal
FullName: FullName is required.
Email: Email is required. Invalid email address.
Address: Address is required.
Mobile Number: Mobile Number is required. Mobile Number is invalid.
Roll Number: Rollnumber is required. Rollnumber is invalid.


WAIT
Login for Coyote
×
Oh!
{{loginFail}}
Email
Password
Login
Zones List
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Zones List
Refresh zone list
{{zone.name}}
{{record.name}}
SAVE
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Check every x second
Server URL to give external ip. Example: http://ipinfo.io/ip
SAVE


---
sort_order: 68
tei_id: rdx_b5h9g.p.idm54502640
annotation_count: 0
images:
small-thumbnail: https://readux.library.emory.edu/books/emory:b5h9g/pages/emory:pckjd/mini-thumbnail/
json: https://readux.library.emory.edu/books/emory:b5h9g/pages/emory:pckjd/info/
full: https://readux.library.emory.edu/books/emory:b5h9g/pages/emory:pckjd/fs/
page: https://readux.library.emory.edu/books/emory:b5h9g/pages/emory:pckjd/single-page/
thumbnail: https://readux.library.emory.edu/books/emory:b5h9g/pages/emory:pckjd/thumbnail/
title: Page 68
number: 68
---
{% raw %}60{% endraw %}
{% raw %}JACOB HODGES.{% endraw %}
{% raw %}comforted all the way home, till I got into{% endraw %}
{% raw %}the gate here and saw you."{% endraw %}
{% raw %}" Well, how did you feel after you saw{% endraw %}
{% raw %}me?"{% endraw %}
{% raw %}" After I saw you the thoughts of my{% endraw %}
{% raw %}Saviour vanished from my mind, and I{% endraw %}
{% raw %}did not know you, but your countenance{% endraw %}
{% raw %}seemed to be familiar. When I came to{% endraw %}
{% raw %}find you out, I went to the barn and fell{% endraw %}
{% raw %}down on my knees, and blessed God for{% endraw %}
{% raw %}the privilege of seeing you again; and I{% endraw %}
{% raw %}believe the Saviour was there with me. 1{% endraw %}
{% raw %}am led to be astonished, Mr. Doit, many a{% endraw %}
{% raw %}time, that God has had compassion on me,{% endraw %}
{% raw %}and sent his Son to raise me from the{% endraw %}
{% raw %}depths of sin and degradation ; and many{% endraw %}
{% raw %}a time I look upon myself and see my{% endraw %}
{% raw %}own heart, I feel that I deserve to be ban{% endraw %}
{% raw %}ished from his presence and the glory of{% endraw %}
{% raw %}his power."{% endraw %}
{% raw %}"Why don't he banish you ?"{% endraw %}
{% raw %}" Because he desires that I should be{% endraw %}
{% raw %}saved."{% endraw %}
{% raw %}" What gives you this feeling of unwor-{% endraw %}
{% raw %}thiness?"{% endraw %}


biochar plants F.C. gypsum water control compared stressed soil treatments plant rate non-stressed Plant stress stomatal conductance drought increased leaf WUE Comparison conditions. treated plants. Soil area observed height significant Figure combination different application growth photosynthesis results {border-style Biochar F.C.) px;} use #ffffff;} experiment. higher increase presented Sci. decreased moisture Water applied biomass g/kg reported soil) treatments. efficiency trend amendments dry effect esculentus parameters species study upto content highly increasing measured transpiration experiment finger mmolmol used weeks (%) capacity conditions high maintained photosynthetic resistance showed shown similar soil. treatment zero (). (C) Effect Lady’s Therefore, Wang change crop effective end matter maximum positive px; reduced using {font-family (A) (B) Bot. FIGURE Gypsum Leaf amended determined font-size hand hand, improve improved level near organic present production productivity reached reduction response studies weight yield Analysis F.C., Moench Sandy Sankar Table amendment double; field findings given graphically growth, loam loss pH, plants, rice stress. time treatments, Abelmoschus Am. Hortic. Pakistan Science Similarly, Stomatal WUE. accumulation border-color border-width contrast, daily effects gas gave gradually holding impact mmolH net procedure respectively. solid; week {font-style {font-weight μmol -). Biomass Chemical EC, Ecol. Ellen Environ. Environmental Exp. G), Lehmann Methods Moreover, Mustafa Photosynthesis Photosynthetic Physiol. Reddy Sciences, Shao Solaiman Solanum Treatments University Use according agricultural based better biochar, bold calculated changes characteristics charcoal conducted considered courier; day decline decrease described elevated em; enhanced grown gypsum, low mechanisms method nightshade obtained parameters. potential pots proved pt;} remained sandy slight study, tolerance value weekly wheat


Hands on Artificial Intelligence Robotics
with NAO robot
National Science Week
City Library, City of Adelaide
19 August 2017
What we'll do today?
- Learn NAO robot basics
- Create programs in Choregraphe to control NAO Robot
- Exercise 1: Hello world with NAO
- Exercise 2: NAO's animation mode
- Exercise 3: Speech recognition with NAO
- Exercise 4: Face recognition with NAO
NAO Robot basics
- What is a Robot?
- A robot is an intelligent system that interacts with the physical environment through sensors and effectors.1
- NAO is a humanoid robot developed by Aldebaran Robotics, a French robotics company
- 58cm tall, 5-kg
- NAO is a completely programmable, autonomous, and interactive robot
1. https://www.cs.utexas.edu/~kuipers/slides/L1-Intro.pdf
NAO sensors and kinematics
- Tactile sensors: Head, hand, and foot
- Cameras, speakers, microphones, sonars, joint position sensors, accelerometer
- 25 degrees of freedom
Choregraphe software
- Developed by Softbanks
- Developed for Linux, Windows and Mac systems
- Node based code editor
- Drag and drop "code boxes"
Using a "code box" to make NAO speak
Choregraphe software
Choregraphe screenshot
Autonomous life
- NAO has "Basic Awareness" enabled, "Breathing" animation, can recognise human speech and reply using Animated Say
- “Interactive” mode: one-to-one interaction
- “Solitary” mode: listening and responding to stimulus from the environment
NAO controles in Choregraphe
Exercise 1: Hello world with NAO
- Make NAO talk and walk with Choregraphe "code boxes"
- Using “Animated say”, make NAO wave and talk
- Make NAO walk a set distance
Animation mode
- Used to create movements from a series of poses
- Controlling motor stiffness
- Adding keyframes to animation timeline
- Turning stiffness on and off - wake up / sleep
- Move NAO’s arm from robot view
Exercise 2: NAO's animation mode
- Make NAO pose using animation mode
Exercise 3: Speech recognition with NAO
- NAO's speech recognition and response capabilities
Exercise 4: Face recognition
- Make NAO remember a face and respond if it recognises the face
Acknowledgements
- Much of the programs demonstrated in this workshop were developed while the author was working as "NAO Robot Innovator in Residence" at the City Library, City of Adelaide, South Australia.
- Thanks to NAO Robot Innovator in Residence peers, Helton and Saman.
Attributions
- All products, logos and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
- Photo credits: Cover video by author; Choregraphe logo from Aldeberan website; NAO robot background from Aldeberan documentation.
- Slide framework: Reveal.js
- Fonts: Google fonts and Font Awesome


{% extends "base-documentation.html" %} {% block documentation %}
Liftpass always serves prices to users in an A/B testing like configuration where a group of players will receive one set of prices and another group will receive a different set of prices. Which set of prices the player gets is based on three factors:
When an SDK requests new prices from the Liftpass server a basic formula is calculated UserID mod Modulus > ModulusLimit
. If the expression is true the user will get the secondary set of prices, otherwise they will get the primary set of prices.
By tweaking the modulus and the modulus limit you can create an infinite set of population divisions when testing prices.
You can fence users from certain countries from receiving any prices from Liftpass by setting the Country White and Black lists. The value for these two variables should be a comma separated string of two letter country codes.


---
title: Boost open source
pagina: Home
---
{% include head.html %}
-
Go to myetherwallet.com
-
Click on View Wallet Info
-
Fill in your address and click on View Balance
-
On the right hand side, click on Add Custom Token
0x4DF47B4969B2911C966506E3592c41389493953b
FND
18
-
Click save
-
Congratulations, your tokens are now visible in MyEtherWallet!
{% include footer.html %}


The Taxi-Pro course is comprised of two tests. You will begin by watching a number of videos. After each video you will be presented with a short quiz. This quiz is only for your benefit and will NOT go towards your final test grade. After the last quiz the test will begin.
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You are about begin the test portion of the Taxi-Pro Course. There are a total of 30 questions. Each question must be answered before proceeding. Once you have answered and advanced to the next question you CANNOT go back and change your answers. Good luck!
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Alan Meeting, 10a
Good meeting discussing warning signals manuscript details and organization. Particularly on the best way to present some of the major conceptual and semantic elements: there are many ways to describe the same thing, each of which carries a lot of semantic baggage.
Do we choose to present this as:
As Hypothesis Testing
Null = isn’t a loss of stability (distribution produced by the MLE model of no stability loss), hypothesis = there is (distribution produced by, MLE model with stability loss) determine p value for falsely rejecting the null and the power of the statistical test.
Advantages: familiar framework, though heavily misunderstood. For instance, the existing warning signals literature uses correlation tests on the windowed averages of the warning signal statistics. Only the
Problems with this approach: Seen as old-school. Often misunderstood. Used incorrectly in the current approaches – they test a null that points are uncorrelated, having generated each of those points from overlapping windows in the same data set (which is also a time series!) Somehow those using information-criteria based model choice imagine they are working in a different statistical paradigm by not attempting to quantify error.
As Model Choice
Comparison of nested models – stability loss has an extra parameter for the rate of decay.
Can be expressed as information criteria or likelihood ratio tests, (distribution of LR isn’t chi-squared since loss of stability model is restricted to only decreasing values, so null model is at the limit of parameter range). IC don’t quantify the probability of error we are trying to illustrate.
Might compare Bayesian framework: we would compare posterior odds, or reversible jump across models.
So, some discussion of whether it was going to be necessary to mention information criteria performance at all, and if so, where (intro/body vs methods/supplement?) Alan suggests emphasizing. More to juggle in the intro
Model Adequacy / Goodness of Fit
Perhaps “Model Adequacy” is the best way to describe this, if only because it is already used(Sullivan & Joyce, 2005) in describing parametric bootstrap approach. References Goldman (1993)Goldman, 1993 in which this is done following Cox 1961/62, but as a model adequacy test in the following way:
The focal model (whose “adequacy” we wish to test) is treated as the null, and the arbitrarily general model is treated as the test model (ironically it is the test model, not the null model, which is being used as the benchmark). Goldman specifies the most unconstrained model for the phylogenetic inference from alignment data that still has i.i.d. sites. Then adequacy is assessed then by whether or not the observed ratio falls in the tails of the distribution.
This test of adequacy does not seem the sense in which Cox (1962) originally proposed the method, which was more along the lines of our general model test. Other work(McLachlan, 1987) has also applied the approach in the model selection sense that we use it, rather than Goldman’s test of adequacy.
Note that none of the proposed methods simulate under the test distribution.
As Data Adequacy
Because we simulate under both models, we have the unique ability to emphasize how likely we are to be able to distinguish between the models being compared.
Each of the statistical paradigms described above set model choice decisions (the null model should only be rejected at certain probability, the better model should trade off complexity of added parameters, etc). It is the role of management to trade off between the risk of false alarm and the risk of undetected events. Our approach provides the relative rates of each kind of error given the data and leaves this choice to the decision-maker. Further, it provides a clear illustration of how these error rates depend on the amount of data available – another key facet absent from the standard emphasis. For this reason it’s tempting to emphasize this as a different framework, though any might be used (despite the fact that many of the above are used incorrectly).
Manuscript Notes
Considering best way to phrase the warning signals approach
Present as a Simulation-study style study vs methodological style (non-parametric bootstrapping)?
Focus on difference between summary statistic vs a full likelihood approach, or focus on estimating error rates and having sufficient information to tell (regardless of the statistic)?
Current paper uses the former of both, following the outline
(detection has risks & limits)
(exist != detection)
(Explains detection problem)
(Simple = General: Introducing the theory)
(summary statistics no substitute for the full data)
References
Sullivan J and Joyce P (2005). “Model Selection in Phylogenetics.” Annual Review of Ecology, Evolution, And Systematics, 36. ISSN 1543-592X, https://dx.doi.org/10.1146/annurev.ecolsys.36.102003.152633.
McLachlan G (1987). “on Bootstrapping The Likelihood Ratio Test Stastistic For The Number of Components in A Normal Mixture.” Applied Statistics, 36. ISSN 00359254, https://dx.doi.org/10.2307/2347790.
Statistical Tests of Models of Dna Substitution, Nick Goldman, (1993) Journal of Molecular Evolution, 36 10.1007/BF00166252


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Dear Friend, I am Dr. Morphil Bako, Regional Manager of Habib Bank Nigeria Ltd and also the personal account officer of Late Mrs. Stella Obasanjo the wife of Nigeria's residen(OLUSEGUNOBASANJO) Who died last year 23rd of October 2005 in Spain while trying to undergo medical surgery . She made a fixed deposit in the bank since shebecame the first lady of federal republic of Nigeria with us here.Which is now lying in a dormant account portfolio. Am searching for a trustworthy partner/ firm to assist in partnership in re-profiling funds over US$125,million to be specific. I will give the details, but in summary, the funds are coming via Bank Menatep. This is a legitimate transaction. You will be paid 10% for your "management fees". If you are interested, please write back to me and provide me with your confidential telephone number, fax number andemail address and I will provide further details and instructions. Please keep this confidential; we can't afford more plitical problems. Finally, please note that this must be concluded within three weeks. Please write back promptly.I will also suggest you visit these news sites on the internet to be better informed about this project. http://edition.cnn.com/2005/WORLD/africa/10/23/obasanjo.obituary/index.html BEST REGARDS Dr.Morphil Bako


Sends message to specified queue
| attribute | desc | example |
|---|---|---|
params |
Comma-separated name=value list of parameters to pass to the MqTester.send method.
Specific implementation of the MqTester may use this list to fine-tune sending.
|
Optional. Default: empty
|
formatAs |
Format to use for pretty-print message in report. Supported values: json, xml. | Optional. Default: json
|
Message could be specified in the tag body:
Or in the file:
Specified message value basically is a Handlebar template hence context variables and handlebars helpers may be used to resolve the final message.
The vars
attribute could be used to conveniently provide context variables for message template.
The headers
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implementation.
Propagating this headers to the actual message is the MqTester implementation responsibility.
Big messages may be collapsed in report via the collapsable
attribute.
To hint report about the message format the formatAs
attribute can be used.
Supported values: xml, json (default).


Project Team
A successful project requires many people to play many roles. Some members write code or documentation, while others are valuable as testers, submitting patches and suggestions.
The project team is comprised of Members and Contributors. Members have direct access to the source of a project and actively evolve the code-base. Contributors improve the project through submission of patches and suggestions to the Members. The number of Contributors to the project is unbounded. Get involved today. All contributions to the project are greatly appreciated.
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The following is a list of developers with commit privileges that have directly contributed to the project in one way or another.
| Image | Id | Name | Organization | Roles | |
|---|---|---|---|---|---|
| jvanzyl | Jason van Zyl |<EMAIL_ADDRESS>| - | Developer, Release Manager | |
| kaz | Pete Kazmier | - | - | Developer | |
| jtaylor | James Taylor |<EMAIL_ADDRESS>| - | Developer | |
| dandiep | Dan Diephouse |<EMAIL_ADDRESS>| Envoi solutions | Developer | |
| kasper | Kasper Nielsen |<EMAIL_ADDRESS>| - | Developer | |
| bwalding | Ben Walding |<EMAIL_ADDRESS>| Walding Consulting Services | Developer | |
| mhw | Mark Wilkinson |<EMAIL_ADDRESS>| - | Developer | |
| michal | Michal Maczka |<EMAIL_ADDRESS>| - | Developer | |
| evenisse | Emmanuel Venisse |<EMAIL_ADDRESS>| - | Developer | |
| trygvis | Trygve Laugstøl |<EMAIL_ADDRESS>| - | Developer | |
| kenney | Kenney Westerhof |<EMAIL_ADDRESS>| - | Developer | |
| carlos | Carlos Sanchez |<EMAIL_ADDRESS>| - | Developer | |
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| jdcasey | John Casey |<EMAIL_ADDRESS>| - | Developer | |
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| joakime | Joakim Erdfelt |<EMAIL_ADDRESS>| - | Developer | |
| olamy | Olivier Lamy |<EMAIL_ADDRESS>| - | Developer | |
| hboutemy | Hervé Boutemy |<EMAIL_ADDRESS>| - | Developer | |
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| khmarbaise | Karl Heinz Marbaise |<EMAIL_ADDRESS>| - | Developer | |
| michael-o | Michael Osipov |<EMAIL_ADDRESS>| - | Developer | |
| belingueres | Gabriel Belingueres |<EMAIL_ADDRESS>| - | Developer |
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alright, so I read about whippets on the internet, heard about the stuff from friends they get at the dentist. I had been wanting to buy some for quite a while, but it took me a while to find a place that sells them, anyway I found one, AU$4.60 for a box of 10 (~US$2.20).
I made myself a nice little cracker from copper pipe fittings with a screw in the bottom to pierce the cartridge. At first I would just inhale a single cartridge, and that would be it, it was a nice buzz, everything looked and sounded weird, then I discovered more. Two cardridges at a time would just blow my mind, I would have 2 balloons, inhale one, breathe out, inhale the other. In a few seconds I would be totally out of it, then 'wake up' about 30 seconds later and think 'holy shit, that rocked' and reach towards the box for another 2.
 The high lasts about 30 seconds, when the effects slowly fade away and you return to reality.

If you're wondering why I don't have more than 2, it's because after cracking 2, I'm too bombed out to crack the third and usually end up wasting it because I forget what the hell I was doing. ie. not putting the balloon on the cracker, letting the balloon go with the gas in it. I've had mates crack them for me, but I think two is the optimal experience without wasting.
another thing which I've also noticed is after doing nitrous I have an unusual craving for a cigarette (which also taste almost like cherry (sort of) after nitrous!)
peace - hope someone reads this and gets something out of it!
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.