First Steps with JavaScript and jQuery
I'm beginning to learn JavaScript and jQuery. I want me some of those sexy client side effects. I've got a couple of books to help JavaScript: The Good Parts (Crockford) and Learning jQuery (Swedberg). I'd recommend both, though to be honest with you the JavaScript book is a bit hard for me as a beginner.
Getting started is pretty simple:
- Download jQuery code and visual studio documentation
- Get intellisense working in visual studio.
- Get QUnit, a jQuery unit testing tool.
Installation is simply putting the jQuery and QUnit files somewhere suitable in the source tree, and then referencing them in the head of your web page. My first jQuery program calculates how long it takes to double your money with a given interest rate:
interest.html
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">

<title>Calculate Interest Payments</title>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>

Double your money

How long does it take for your money to double for a given interest rate?

Interest (%/year)
<input id="rate" type="text"/>
<input id="calculate" type="button" value="Calculate" />

interest.js
/// <reference path="..\jquery\jquery-1.3.2.js"/>
$(document).ready(function() {
$('#calculate').bind('click', function() {
var rate = $('#rate').val()
$('#result').text(doublePeriod(rate) + " Years");
});
});
function doublePeriod(interestRate) {
return 72 / interestRate;
}
interest.test.html
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">

<link rel="stylesheet" href="../jquery/testsuite.css" type="text/css" media="screen" />

Interest


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LEARN HOW TO WORK WITH APIs
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The average Toronto driver spends on the road due to traffic
Percent of Tronto’s total air pollution from motor vehicle traffic
Our scalable solution allows businesses to anticipate and plan around congestion, and help cities find opportunities to improve their policy.


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A long night has passed and with my "hunting" instincts ablaze after a deep hibernation, I find myself a few steps away from the main entrance of Jean's Barrow mansion. Two mugs of coffee and yet I can't get myself together. A two floor stone colonial house, I am not an art history expert but I think it's Victorian architecture. I bet, if I was a rich spoiled boy I would love every bit of it.  My finger is already on the ring-bell. Detective: And now we wait. A middle age black man, well dressed even for a servant, opens the door and welcomes me. He escorts me towards the house and then inside the living room. We both walk all the way in a deep dead silence, walking in a slow pace, it's almost psychedelic. Butler: Wait here please. Mr. Barrow will be here shortly. I snap out of it, just staring at him without saying anything. That's when I realize that life hasn't been easy on him, maybe not even fair. He turns his back, walks away and I left alone waiting. I take a look around and see nothing more than expected. Complex curved furniture and expensive decorations and then, in front of me a collection of stuffed animals, somehow it gives me the chills. The voice of Jean Barrow behind me, surprises me. Jean Barrow: Good morning. I appreciate it that you are on your time. Let's not waste time then. I called you over so you can check on your own the death scene. Follow me please. You walk through a corridor. The noise of your footsteps are absorbed by the thick red carpet, almost muted. You feel that the silence in every part of this house is really strange. While reaching the end of the hallway a door awaits you and Jean Barrow gives his last instructions. Jean Barrow: Unfortunately, I can't stay any longer, I have to get ready for work, the factory has many responsibilities. Go on and check my fathers office, the place he left his last breath. I hope we have progress very soon (slightly opens the door). Until next time. Detective: Have a good day Mr. Barrow. I close the door behind me, isolating myself from the rest of the house.  Next to it, a small furniture with a radio on it and a couple half empty bottles of "liquid gold". To the other side, it's the library full of books, next to the window. All and all a tidy room, perfectly organized that makes you wonder if this room was a death scene.
• Enough sightseeing, lets get down to work.
The butler is leading me out, through the big garden again. The guy who take cares of the garden, keeps staring at me. Even now that I am in the outer door, I still feel his eyes on me and I am pretty sure I don't know him at all. • About my last option. I'm left only with the factory. I know what Barrow said but I can't work with the information I havee right now.


This calculator provides the diameter of a bore described by three gage pins. When "Tolerance" is
selected, the result is a range determined by the class of gage pins used.
{% with messages = get_flashed_messages() %}
{% include "partials/results.html" %}
{% include "partials/threepindiagram.html" %}
{% endwith %}


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MAC Funding Corporation 产业机械的销售信贷金融 美国
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Mitsubishi Corporation Technos 机床、产业机械销售 日本
Mitsubishi Corporation Technos was founded in July 1971 as a trading firm engaged in the sale of machine tools. Thereafter, the subsequent surge in industrial development in Japan gave us a boost in establishing a broader foundation as a trading firm specializing in industrial machinery. We expanded our operations beyond machine tools to include plant facilities, such as robots, carrier systems, assembly lines, measuring/inspection devices, washing equipment, and painting systems, as well as clean energy facilities, beverage and food machinery, and equipment for retailers.
On the global stage, we began making active advances into overseas markets in the 1990s, and have established operational centers in eight countries to date. Through this extensive network, we have accumulated steady results as a strategic global partner in the world of manufacturing.
We have come thus far to where we are today thanks to our stakeholders' ceaseless support and guidance, for which we are ever grateful.
In the Japanese machine tool manufacturing industry today, external demand is said to account for as much as 70% of total demand. This demand structure is also seen in Japan's manufacturing industries as a whole, where the advancement of free trade has promoted globalization and has given rapid rise to borderless markets. In terms of the world at large, our market has thus expanded significantly, and our customers have begun to engage in manufacturing from a worldwide perspective.
Given this rapid transition of the market in terms of both region and content, we at Mitsubishi Corporation Technos have reaffirmed the importance of developing human resources and engineering capacities with a constant eye on the trends of the times. We have also strengthened our commitment to satisfy market needs by gaining a broad, comprehensive view of situations inside and outside of Japan, and to support the evolution of manufacturing within the entire value chain in close cooperation with our customers and manufacturers.
Through the dedicated efforts of each and every one of our employees, we will strive to become a leading company that offers proactive services and seeks continuous growth as a strategic partner to all our stakeholders. We ask for your continued support and patronage as we pursue our mission with unwavering dedication.
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Food Suggestion | ||
Food Suggestion is based on your Regional and Seasonal availability | ||
| Item | Potion | Calories |
| Item1 | 1 nos | 120 |
| Item2 | 1 plate | 120 |
| Item3 | 1 glass | 200 |
| Date | Med Name | Venue |
| 25/01/2020 | TT-1 | Primary Health Center K Narayanpura |
| 10/03/2020 | TT-2 | Primary Health Center K Narayanpura |
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s,
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s,


cursor
Located in File: Program_Root/cursor/cursor.class.php
Cursor
public
| Class Variable Summary |
| Inherited Class Variable Summary |
| Inherited Method Summary |
| Method Summary |
void ¤t ( )
Return first or last get'ed() result in queried set. |
void field ( )
Get currently selected field. |
void &get ( [$selection = ''], [$order = ''] )
Return first or next record. |
void id ( )
Create an unique id for the current record. |
void key ( )
Get current record's key. |
void query ( [$selection = ''], [$order = ''] )
Query a result set. |
void set_field ( $field )
Select a record field. |
void set_key ( $key )
Set record key. |
void set_source ( $source )
Set source name. |
void size ( )
Number of records in result set. |
void source ( )
Get source name. |
void type ( )
Get currently selected field. |
| Variable Detail |
| Method Detail |
void ¤t ( )
Return first or last get'ed() result in queried set.cursor::key(), cursor::get()
mixed Record.
public
void field ( )
Get currently selected field.cursor::set_field()
mixed The length is undefined.
public
void &get ( [$selection = ''], [$order = ''] )
Return first or next record.The argument syntax depends on the derived class.
- string $selection: Selection of records.
- string $order: Order of results.
cursor::key(), cursor::current()
mixed Record.
public
void id ( )
Create an unique id for the current record.string The length is undefined.
public
void key ( )
Get current record's key.cursor::set_key()
mixed The length is undefined.
public
void query ( [$selection = ''], [$order = ''] )
Query a result set.The argument syntax depends on the derived class.
- string $selection: Selection of records.
- string $order: Order of results.
cursor::current(), cursor::get()
object error Error object or 0.
public
void set_field ( $field )
Select a record field.This only affects methods id() and field()
cursor::id(), cursor::field()
string Field name.
public
void set_key ( $key )
Set record key.Setting the key has no effect on the referenced record. This only affects method key(),
cursor::key()
string Source name.
public
void set_source ( $source )
Set source name.cursor::source()
string Source name.
public
void size ( )
Number of records in result set.This function is overwritten by derived classes.
int Number of records.
public
void source ( )
Get source name.cursor::set_source()
string The length is undefined.
public
void type ( )
Get currently selected field.cursor()
string The length is undefined.
public


Connect
Authorize
Start Transaction
Stop Transaction
Heartbeat
Status Notification
Data Transfer
Start Meter Values
____
____
____
____
Time:
Settings
Log
Transactions
Endpoint URL
Charge Point Id (BRM_02, BTP_01, ETP_01, PSN_01, PSN_02)
Charge Point Vendor
Charge Point Model
Id Tag
Status Notification (Charging, Finishing, Available)
Reservation Id
Meter Value - Number Of Messages
Meter Value - Sample Interval In Seconds
Min SoC (percent)
Max SoC (percent)
Min Energy (kWh)
Max Energy (kWh)
Av Power (W)
Av Current (A)
Active transactions:


Taking your first steps in the world of academia can be intimidating. We have all experienced it while preparing research proposals, sitting in exams, and discussing research projects with peers and professors. What can make it easier is the thriving research community you can find online. By participating in it, you can create connections, find information, learn and enhance your skill-set in research, scientific writing, and so much more. However cliche it might sound, participating in the community is a great investment in the future.
What are, then, the best places to look for research-oriented social networking? Where do Internet personas of researchers and students congregate? Read on and find our suggestions.
I know, the first one is not that innovative or unexpected. But our lumbering giant of social networking can be used for much more than sharing pictures with your family and friends or discussing the last concert of your favourite band. Not that using a social network for socializing is wrong. I still remember how we had discussed in the JEPS team if promoting our journal and services through Facebook was the right way to go. At that time, we were against it because Facebook is mostly for leisure activities and gathers a wide array of people of whom a small minority is interested in research. It does not befit a scientific journal to promote itself on Facebook, to put it crassly. Right?
Wrong.
Everybody is on Facebook. Students especially. Scientists too. You can find a bunch of great groups, pages and people to follow and populate your wall with trivia from the world of research in psychology. Let us start with the obvious choice:
- Journal of European Psychology Students Facebook group
The JEPS group on Facebook is growing by the day. Most of you probably followed a link from it to this post in the first place - but that is not the only thing we share there. Besides regular JEPS updates, we also invite all members of the group to share interesting tidbits from the world of psychology, scientific writing, publishing and last but not least, Open Access. You can find links of everything from funny comics to serious articles criticizing the scientific publishing system straight from The Economist.
The group is open to the public, and everyone is invited to join and share. I am proud to say that it has turned into a nice little niche of research right there in the middle of all that fun and games on Facebook.
- Association for Psychological Science Facebook group
This is the official APS Facebook page, giving information about the workings of their organization as well as interesting tidbits from the world of psychology. For example, one of their last status updates (while I was writing this post) was to an article on CNN with a bombastic title "Survey: 1 in 4 users lie on Facebook".
As it states in the short description of their site: "A fan page for all students worldwide to discuss, debate and catch up on latest developments within the field of psychology whether you are under graduate or post graduate, doing A level or Diploma."
A page in the same vein as the previous one, only aimed at clinical psychology students.
Twitter is a great source of information on psychology. If you're using it, this is what we suggest:
- BPS Research Digest - regular updates from the BPS journals, bringing various news about psychology
- Psychology Feeds - a compilation of RSS feeds from various psychology blogs
- JEPS on Twitter - we tweet psych news too!
- Open Access Now - not directly psychology related, but this is an RSS feed chronicling the developments of the open access movement
G+
We have a single suggestion for G+, and that is Psychology World. It is a curated community on G+ aimed specifically at psychologists and students of psychology. In their own words: "Our goal is to centralize the best psychology content on the web for our members to read, watch, share, discuss and enjoy." For me, this is one of the best resources on psychology out there. It is regularly updated, fresh and well-managed - I would say one of the few things that keeps me opening G+ every day.
LinkedIn is a professional social network. Basically, you create an account for yourself and it looks like your personal online CV. Then you can network with your classmates, professors and other people you meet professionally. Depending on the size of your network, it can be a great source of information, links and maybe even studying/job opportunities. It is more business-like than research oriented, but there are a great deal of academicians, scientists, other psychologists and students using it. Definitely a great way to keep in contact - and it is much better if a Google search of your name by a future employer ends up on your LinkedIn, rather than your private Facebook profile.
Academia.edu
Academia.edu is a different site compared to the ones previously mentioned. It is created specifically for social networking of people involved and interested in research. Sharing the ideas of the open access movement, it is aimed at sharing papers, following their impact and following research in a particular field. It is (one of the) Facebooks of science out there.
ResearchGate
ResearchGate is a social networking site that started the idea of this post in the first place. Maris shared an article about it at the previously mentioned JEPS Facebook group. The article in question discusses this new prodigy in the field of research oriented social networking. Since I didn't have the chance to explore it myself for now, I will cite its short description from Wikipedia:
"ResearchGate is a free social networking site for scientists and researchers. It provides members with a number of tools to facilitate global scientific collaboration. Researchers can create professional profiles, discuss their work in topic specific Q&A forums, share papers, search for jobs and discover conferences in their field. A recent calculation of members showed that ResearchGate has so far assembled a user-base of over 1.4 million researchers from 192 countries."
As a conclusion, there are many ways to network on the Internet if you are interested in research. Sharing information through these hubs, creating new connections, promoting yourself and your work and finding literature (!) is a great possibility that should not be ignored. So if you thought it was a bore and something reserved for the glitterati and the social butterflies, think again. Even science geeks like us have something to find there.
PS
If you have any suggestions of your own, please share! We would love to add to this list of good groups, links and sites.
__________________________________________________________________________________________
Ivan Flis is a graduate student of psychology at the Center for Croatian Studies at the University of Zagreb, Croatia. He is the Editor-in-Chief of the Journal of European Psychology Students (JEPS) and the Chair of the Right to Research Coalition Coordinating Committee for Africa, Europe and Middle East.


Python
We are going to focus on objected oriented programming with Python. We have already talked about the main concepts of OOP and seen how they work in R. To make the transition easier, we are going to follow a similar structure to the in the R OOP portfolio.
Create class with constructor
We start by creating a Shape class and initialize it with the variable side_lengths
and name
.
import numpy as np
class Shape:
def __init__(self, name, side_lengths):
self.name = name
self.side_lengths = np.array(side.lengths)
__init__
function: constructor of the class. It sets the initial state of the object.self
: special variable which provides access to the properties of an object.
We can create an object from the Shape class by using
triangle = Shape('baby_triangle', [1, 1, 1])
print(triangle.side_lengths)
Class methods
We often call a function only in a specific setting. This is where classes and methods come in handy. If we want a function to find the perimeter of a shape, it makes sense to link this somehow to the Shape class, as all the objects that we will call it in belong to that class.
We can define the perimeter method by adding it inside the class. This ensures that it can only be called on instances of that specific class.
class Shape:
def __init__(self, name, side_lengths):
self.side_lengths = np.array(side_lengths)
self.name = name
def perimeter(self):
return sum(self.side_lengths)
Another important role of methods is that it enables one to update the state of one or more attributes. For example, say we want to increase the side lengths of an already existing shape by 1. We can do this using this method
def increase(self):
print(f"You increased the sides of the {self.name} by 1.")
self.side_lengths = self.side_lengths + 1
Implementation of Gaussian Processes
A Gaussian Process is a distribution over functions \(f(x)\) defined by a mean function \(m(x)\) and a covariance function \(k(x,x')\) and it can be written as follows:
\[f(x) \sim GP(m(x), k(x,x').\]
An important property of Gaussian Processes is that for a finite subset \(X=(x_1,\cdots, x_n)\), the marginal is normally distributed
\[f(X)\sim \mathcal{N}(m(x),\Sigma),\]
where \(\Sigma=k(X,X)\).
Covariance function
To obtain this covariance we need to specify a kernel function to be used, in our case this will be an RBF kernel:
\[k(x,x')=\sigma^2\exp(-0.5\ell ^{1/2}\parallel x-x'\parallel^2).\]
We first create a Kernel class that enables us to define the parameters to be used in the Gaussian kernel. The class also has a method to compute the covariance matrix based on the inputed vectors.
import numpy as np
import matplotlib.pyplot as plt
class Kernel:
"""
A class used to define a specific Gaussian Kernel.
...
Attributes
----------
l : float
length parameter
sigma: float
variance parameter
X1 : list
first input vector
X2 : list
second input vector
Methods
-------
covariance()
computes the covariance matrix using the gaussian kernel function
"""
# constructor
def __init__(self, l, sigma, X1, X2):
# convert to numpy column vector
self.X1 = np.array(X1).reshape(-1, 1)
self.X2 = np.array(X2).reshape(-1, 1)
self.l = l
self.sigma = sigma
# covariance method
def covariance(self):
n1 = self.X1.shape[0]
n2 = self.X2.shape[0]
cov = np.zeros(shape=(n1, n2))
for i in range(0, n1):
for j in range(0, n2):
cov[i, j] = (self.sigma ** 2 * np.exp(
-0.5 * np.linalg.norm(self.X1[i, :] - self.X2[j, :])** 2
/ (self.l ** 2)))
return cov
We can create a Kernel with length parameter l=6
and variance parameter sigma=1
. If we then plot the resulting covariance matrix between two vectors spanning from -10
to 10
.
test_kernel = Kernel(6, 1, np.linspace(-10, 10, 20), np.linspace(-10, 10, 20))
# resulting covariance matrix
test_kernel.covariance()
To visualize the resulting covariance matrix we used
plt.clf()
plt.imshow(test_kernel.covariance())
plt.show()
Sampling from prior
Since we cannot evaluate the function using an infinite number of points, we sample a finite subset of Gaussian Processes \(y\sim f(X)\) as follows:
\[y\sim \mathcal{N}(0,k(X,X)),\] where \(X\) is a finite subset.
Predictions
Given that we now have some new observations \(y_1, X_1\), we can update our posterior and make predictions for \(y_2|X_2\) using
\[p(y_2|y_1,X_1,X_2)=\mathcal{N}(\Sigma_{21}\Sigma_{11}^{-1}y_1,\Sigma_{22}-\Sigma_{21}\Sigma_{11}^{-1}\Sigma_{12})\]
The second class that we use is a Gaussian Process class. The way the class works is that we can initialize an initial gp
object with a given kernel and the test x values, and then we can update it once we have some training values.
class Gp:
"""
A class for working with Gaussian Processes.
...
Attributes
----------
x_new: list
values used as test inputs (the range of interest)
kernel: Kernel
a kernel object
n_samples: int
samples to be drawn
samples:
samples drawn from a multivariate normal based on the mean and covariance
mu:
mean of the normal distribution used to obtain samples
Methods
-------
get_samples():
draws samples from a multivariate normal
train(x_train, y_train):
updates the mean and covariance and draws new samples
plot():
create a line plot of the current samples
"""
def __init__(self, x_new, kernel, n_samples, samples=None, mu=None):
self.x_new = x_new
self.kernel = kernel
self.n_samples = n_samples
self.samples = [] if samples is None else samples
self.mu = np.zeros(shape=(1, x_new.shape[0])).ravel() if samples is None else mu
def get_samples(self):
n = self.x_new.shape[0]
current_kernel = Kernel(self.kernel.l, self.kernel.sigma, self.x_new, self.x_new)
current_covariance = current_kernel.covariance()
self.samples = np.zeros(shape=(n, self.n_samples))
for i in range(0, self.n_samples):
self.samples[:, i] = np.random.multivariate_normal(self.mu, current_covariance)
def train(self, x_train, y_train):
K_11 = Kernel(self.kernel.l, self.kernel.sigma, x_train, x_train)
K_12 = Kernel(self.kernel.l, self.kernel.sigma, x_train, self.x_new)
K_22 = Kernel(self.kernel.l, self.kernel.sigma, self.x_new, self.x_new)
sigma_11 = K_11.covariance()
sigma_22 = K_22.covariance()
sigma_12 = K_12.covariance()
cov = sigma_22 - sigma_12.transpose().dot(np.linalg.inv(sigma_11)).dot(sigma_12)
self.mu = np.matmul(np.matmul(sigma_12.transpose(), np.linalg.inv(sigma_11)), y_train)
n = self.x_new.shape[0]
self.samples = np.zeros(shape=(n, self.n_samples))
for i in range(0, self.n_samples):
self.samples[:, i] = np.random.multivariate_normal(self.mu.ravel(), cov)
print(self.samples[:, i])
def plot(self):
for i in range(0, self.n_samples):
plt.plot(self.x_new, self.samples[:, i])
plt.show()
Here we set the x test value, initialize the kernel, and create an initial gp
object which represents the prior. We draw samples from the prior using .get_samples
, and then we use the plot method to obtain the plot below
x = np.linspace(-10, 10, 21)
init_kernel = Kernel(6, 1, x, x)
gp = Gp(x, init_kernel, 6)
gp.get_samples()
gp.plot()
Say we have now observed some training data and want to train the gp
object and obtain some new samples. The resulting samples do indeed show no uncertainty around the training points, which is the expected bahaviour.
x_train = [-7,-2,5]
y_train = [-0.5, 1, 0]
gp.train(x_train, y_train)
gp.plot


Hello!
The vendor {{ vendor_name }} has approved your order placed on {{ order.get_date() }} at {{ order.get_time() }} of the following items:
| Item name | Quantity | Total Price |
|---|---|---|
| {{ purchase.item_name }} | {{ purchase.quantity }} | {{ format_price(purchase.item_price * purchase.quantity) }} |
You are also able to review your experience with this vendor under your Orders tab.
{% if comment %}Additionally {{ vendor_name }} made the following comment on this order:
{{ comment }} {% endif %}Sincerely,
The {{ config.APP_NAME }} Team
Note: replies to this email address are not monitored.


@import play.api.mvc.Session
@(user:String)
@main(title = "User Guide",test = user){
Step 1: Import Data from HDFS
Step 2: Convert Dataframe to Vector
Step 3: Build machine learning Model
Step 4: Using your model to predict result


Description
NoSQL databases have become mainstream with their suitability to internet-grade applications. This course has been authored to leverage your knowledge of relational databases to leap into NoSQL concepts using CouchDB. We assume no knowledge of NoSQL databases and take you to intermediate level in this course. You will learn the constructs within CouchDB and become familiar with Map-Reduce language using JavaScript. This open source technology ideally augments your project requirements. We will conclude this course with practical applications of CouchDB in JavaScript and .NET applications.


The SecCamp Cologne is an independent Barcamp on all things security. It is aimed at everyone with an interest in application, network, and information security. Topics cover the security of software, hardware, cloud services, networks and industrial controls, security in the daily practice of companies and private users, human factors in security, and current research topics from these areas.
vSecCamp Cologne 2020
The second SecCamp Cologne will take place on Saturday, April 4th 2020 as a fully virtual conference due to the Coronavirus pandemic.
Register for free
Past SecCamps
SecCamp Cologne 2019
The first SecCamp Cologne took place on the weekend of June 15th and 16th 2019.
Browse the archive!


If you want to create your own flavor, get involved or report an issue, head over to mini.css's Github repository or the wiki. If you want to give mini.css a try using the default flavor, paste the following code inside your HTML page's <head>
tag:
<link rel="stylesheet" href="https://cdn.rawgit.com/Chalarangelo/mini.css/v1.1.0/flavors/mini-default.min.css">
If you'd rather use a package manager, mini.css is available in both Bower and NPM:
bower install mini.css
npm install mini.css
mini.css is split up into modules, each with a specific focus or set of components. These modules are categorized under core modules and extra modules. We suggest that you use most of the core modules in your projects, as most projects can make good use of them. As for the extra modules, we suggest you carefully pick the ones you need for your project. Below is a quick overview of all the modules:
A modified version of normalize.css combined with a long list of variables produces a customized base for your projects along with typography rules and colors.
A customizable reponsive grid that lets you build pages that look great on all devices wih minimal tweaking..
A customizable responsive navigation bar for your pages.
The navigation system can easily be extended using the dropdown component.
If you would rather use tabs instead of the usual navigation bar, you can use this module to enable tabbed navigation.
Give a fresh style to your tables without overloading your page.
Simple, elegant and light forms that will work well and give feedback to the user.
Tiny button styles that allow you to beautify your buttons, labels and links.
Small badges and labels to provide your user's with all the info they need.
Modal dialog prompts to notify your users the easy way.
Hide and show text using customizable collapse buttons.
A simple module that allows you to create progess bars for your pages.
Really light and customizable imaage slideshow for all your showcase needs.
Classes for generic borders, image thumbnails, contextual text coloring, utility buttons and more.
Breadcrumbs, containers, panels, alerts, popovers, button groups and more.


|
BL3 SDK
0.0.1
Borderlands 3 Class Documentation
|
#include <BL3_GbxWeapon_classes.hpp>
Public Member Functions | |
| void | SetCanUseWhenOverheated (bool bEnabled) |
| void | OnUseFinished () |
| void | OnUsed () |
| void | OnStopOverheat () |
| void | OnStartOverheat () |
| void | OnRep_ReplicatedHeat () |
| void | OnRep_Overheated (bool bWasOverheated) |
| void | OnPutDown () |
| void | OnEquipped () |
| void | OnDetached () |
| void | OnAttached () |
| Public Member Functions inherited from UActorComponent | |
| void | ToggleActive () |
| void | SetTickGroup (TEnumAsByte< ETickingGroup > NewTickGroup) |
| void | SetTickableWhenPaused (bool bTickableWhenPaused) |
| void | SetOwningSceneCapture (class USceneCaptureComponent *InOwningSceneCapture) |
| void | SetIsReplicated (bool ShouldReplicate) |
| void | SetComponentTickInterval (float TickInterval) |
| void | SetComponentTickEnabled (bool bEnabled) |
| void | SetAutoActivate (bool bNewAutoActivate) |
| void | SetActive (bool bNewActive, bool bReset) |
| void | RemoveTickPrerequisiteComponent (class UActorComponent *PrerequisiteComponent) |
| void | RemoveTickPrerequisiteActor (class AActor *PrerequisiteActor) |
| void | ReceiveTick (float DeltaSeconds) |
| void | ReceiveEndPlay (TEnumAsByte< EEndPlayReason > EndPlayReason) |
| void | ReceiveBeginPlay () |
| void | OnRep_IsActive () |
| void | MarkNetDirty () |
| void | K2_DestroyComponent (class UObject *Object) |
| bool | IsComponentTickEnabled () |
| bool | IsBeingDestroyed () |
| bool | IsActive () |
| class USceneCaptureComponent * | GetOwningSceneCapture () |
| class AActor * | GetOwner () |
| float | GetComponentTickInterval () |
| void | Deactivate () |
| bool | ComponentHasTag (const struct FName &Tag) |
| void | AddTickPrerequisiteComponent (class UActorComponent *PrerequisiteComponent) |
| void | AddTickPrerequisiteActor (class AActor *PrerequisiteActor) |
| void | Activate (bool bReset) |
| Public Member Functions inherited from UObject | |
| std::string | GetName () const |
| std::string | GetFullName () const |
| bool | IsA (UClass *cmp) const |
| void | ProcessEvent (class UFunction *function, void *parms) |
| void | ExecuteUbergraph (int EntryPoint) |
Static Public Member Functions | |
| static UClass * | StaticClass () |
| Static Public Member Functions inherited from UActorComponent | |
| static UClass * | StaticClass () |
| Static Public Member Functions inherited from UObject | |
| static FChunkedFixedUObjectArray & | GetGlobalObjects () |
| template<typename T > | |
| static T * | FindObject (const std::string &name) |
| static UClass * | FindClass (const std::string &name) |
| template<typename T > | |
| static T * | GetObjectCasted (std::size_t index) |
| static UClass * | StaticClass () |
Additional Inherited Members | |
| Static Public Attributes inherited from UObject | |
| static FUObjectArray * | GObjects |
| void OnAttached | ( | ) |
| void OnDetached | ( | ) |
| void OnEquipped | ( | ) |
| void OnPutDown | ( | ) |
| void OnRep_Overheated | ( | bool | bWasOverheated | ) |
| void OnRep_ReplicatedHeat | ( | ) |
| void OnStartOverheat | ( | ) |
| void OnStopOverheat | ( | ) |
| void OnUsed | ( | ) |
| void OnUseFinished | ( | ) |
| void SetCanUseWhenOverheated | ( | bool | bEnabled | ) |
|
inlinestatic |
| struct FGbxAttributeFloat ActiveHeatRate |
| unsigned char bCanOverheat |
| bool bCanUseWhenOverheated |
| unsigned char bOverheated |
| unsigned char bSimulateOnAI |
| bool bSimulateOnClients |
| unsigned char bStartCoolDownEffectOnEndUse |
| unsigned char bVisibleInHUD |
| float CoolDownEffectOffThreshold |
| float CoolDownEffectOnThreshold |
| TEnumAsByte<EWeaponEffectType> CoolDownEffectType |
| float Heat |
| struct FGbxAttributeFloat HeatCoolDownDelay |
| struct FGbxAttributeFloat HeatCoolDownRate |
| TArray<struct FWeaponHeatEventNotify> HeatEvents |
| class UCurveFloat* HeatMaterialParamCurve |
| struct FName HeatMaterialParamName |
| struct FScriptMulticastDelegate NotifyHeatChanged |
| struct FGbxAttributeFloat OverheatCoolDownDelay |
| struct FGbxAttributeFloat OverheatTime |
| unsigned char ReplicatedHeat |
| unsigned char UnknownData00[0x10] |
| unsigned char UnknownData01[0x1] |
| unsigned char UnknownData02[0x4] |
| unsigned char UnknownData03[0x3] |
| unsigned char UnknownData04[0x4] |
| unsigned char UnknownData05[0xC] |
| unsigned char UnknownData06[0x6] |
| struct FGbxAttributeFloat UseHeatImpulse |
| class AWeapon* WeaponPrivate |


Speak and it will magically write into the editor.
Only work on Mac and with Safari or Chrome. Enable it in your system preferences in "Speech" and select your language.
Powered by Wysihtml5 and Wysihtml5 Styled


Total Forms
{{totalForms}}Total Forms
{{totalForms}}Last form submission date
{{updatedTime | date}}NCD survey's data submissions by gender
NCD survey's data submissions by marital status
NCD survey's data submissions by Provinces
NCD survey's data submissions by alcohol consumption


Studying the Interplay between the Durations and Breakages of Continuous Integration Builds
(Replication Package)
Dataset:
Studied projects (project-level data) [40 KB]
Studied projects (quarter-level data) [152 KB]
Studied builds (build-level data) [47.2 MB]
Scripts:
RQ1
RQ2
RQ3
RQ4
Results:
RQ1 → detailed results of the project-level multinomial model
RQ2 → detailed results of the build-level multinomial model
RQ3 → detailed results of the build-level switching mixed-effects regression models
RQ4 → detailed results of quadrant switching patterns overtime
RQ4 → detailed results of within-project logistic regression models
Survey:
Participants Recruitment Letter


ITEM 1
ITEM 2
ITEM 3
ITEM 4
To Do List
Open Projects
Flutter Fast Calendar
CSS3 Grid Template
Vue.js Firestore Reader
Closed Projects
Flutter Contact Manager
Language To Study
PHP
React.js
Studied Language
Angular
JQuery
Testing
Bootstrap 4
Tested
Bootstrap 3


|
texutil − ConTeXt utility program |
|
texutil [ OPTION... ] FILENAME[...] |
|
This program, whether as a Perl or the newer ruby script, is deprecated and many of its features are available in ctxtools(1), gs(1), pdftools(1), and texexec(1). |
|
ctxtools(1), gs(1), pdftools(1), texexec(1) |
|
This incomplete man page was written by Sanjoy Mahajan<EMAIL_ADDRESS>and is in the public domain. |


{% block head %} {% endblock %}
Agrib-Excellency
Home
Services
Exposure Study Trips
Fund Management
Project Management
Agriculture Financing
Grant Management
Financial Analysis
Credit Analysis
Loan Schemes
FinancialInclusion
About Us
Contact
{#
Blog
#}
Argentina Expo
{% block page %} {% endblock %} {% block body %} {% endblock %} {# footer#}
{% block scripts %} {% endblock %}


2.1 Determining the best ACML version for your system
ACML comes in versions for 64-bit processors, running
both Linux and Microsoft
Windows(R)
operating systems. To use the following tables, you will need
to know answers to these questions:
- Are you running a 64-bit operating system (on AMD64 hardware such as
Opteron or Athlon64)?
- Is the operating system Linux or Microsoft Windows?
- Do you have the GNU compilers (gfortran/gcc) or compatible compilers
(compilers such as Absoft that are interoperable with the GNU compilers) installed?
- Do you have the PGI compilers (pgf77/pgf90/pgcc) installed?
- Do you have the Open64 compilers (openf95/opencc) installed?
- Do you have the NAGWare compiler (f95) installed?
- Do you have a single processor system or a multiprocessor (SMP) system?
The single processor version of ACML can be run on an SMP machine and
vice versa, but (if you have the right compilers)
it is more efficient to run the version appropriate to the machine.
- Does the machine support advanced instruction sets such as FMA4 or AVX?
The ACML installation includes a binary utility that can help you find
an answer to the last question. The utility lies in directory
util, and is named cpuid.exe. It interrogates the processor
to determine what instruction families exist.
util/cpuid.exe
Under a Linux operating system, another way of finding out the answer
to the last question is to look at the special file /proc/cpuinfo,
and see what appears under the “flags” label.
Try this command:
cat /proc/cpuinfo | grep flags
If the list of flags includes the flag “sse2” then your machine
supports SSE2 instructions. If it also includes “fma4” then your machine
supports FMA4 instructions. If your machine supports these instructions,
it is better to use a version of ACML which was built to take advantage of
them, for reasons of good performance.
The method of examining /proc/cpuinfo can also be used under Microsoft
Windows if you have the Cygwin UNIX-like tools installed
(see http://www.cygwin.com/) and run a bash shell.
Note that AMD64 machines always support both SSE and SSE2 instructions,
under both Linux and Windows. Other manufacturers'
hardware may or may not support AVX or FMA4.
If you link to a version of ACML that was built to use AVX or FMA4
instructions, and your machine does not in fact support them, it is likely
that your program will halt due to encountering an “illegal instruction”
- you may or may not be notified of this by the operating system.
Once you have answered the questions above, use these tables to
decide which version of ACML to link against.
Linux 64-bit
| Number of threads | Compilers | ACML install directory
| | Single thread | PGI pgf77/pgf90/pgcc | acml5.3.1/pgi64
| | ” | PGI pgf77/pgf90/pgcc fma4 | acml5.3.1/pgi64_fma4
| | ” | GNU gfortran/gcc or compat. | acml5.3.1/gfortran64
| | ” | GNU gfortran/gcc fma4 | acml5.3.1/gfortran64_fma4
| | ” | Open64 openf95/opencc | acml5.3.1/open64_64
| | ” | Open64 openf95/opencc fma4 | acml5.3.1/open64_64_fma4
| | ” | Intel Fortran | acml5.3.1/ifort64
| | ” | Intel Fortran fma4 | acml5.3.1/ifort64_fma4
| | ” | NAGWare f95 | acml5.3.1/nag64
| | ” | Absoft (use gfortran ACML) | acml5.3.1/gfortran64
| | Multiple threads | PGI pgf77/pgf90/pgcc | acml5.3.1/pgi64_mp
| | ” | PGI pgf77/pgf90/pgcc fma4 | acml5.3.1/pgi64_fma4_mp
| | ” | GNU gfortran/gcc or compat. | acml5.3.1/gfortran64_mp
| | ” | GNU gfortran/gcc fma4 | acml5.3.1/gfortran64_fma4_mp
| | ” | Open64 openf95/opencc | acml5.3.1/open64_64_mp
| | ” | Open64 openf95/opencc fma4 | acml5.3.1/open64_64_fma4_mp
| | ” | Intel Fortran | acml5.3.1/ifort64_mp
| | ” | Intel Fortran fma4 | acml5.3.1/ifort64_fma4_mp
| | ” | Absoft (use gfortran ACML) | acml5.3.1/gfortran64_mp
|
|
|
Microsoft Windows 64-bit
| Number of processors | Compilers | ACML install directory
| | Single processor | PGI pgf77/pgf90/pgcc/MSC | acml5.3.1/win64
| | ” | Intel Fortran/Microsoft C | acml5.3.1/ifort64
| | Multi processor or core | PGI pgf77/pgf90/pgcc/MSC | acml5.3.1/win64_mp
| | ” | Intel Fortran/Microsoft C | acml5.3.1/ifort64_mp
|
|
|


false
singletonJsonValue
.JsonValue
for the passed key.Number
representing the numeric value of this
JsonNumber
.JsonString
.JsonValue
specialization,JsonNumber
is a lexical integer number.null
value.JsonBoolean
is
true
JsonReadProvider
to signal a syntax error in a JSON character stream.JsonObject
from a character stream.JsonReadProvider
that loads a wrapped implementation
from file META-INF/services/org.eleusoft.jsonread.JsonReadProvider
JsonObject
.JsonValue
for the passed key or
null
if no mapping present.JsonReadProviderLoader
,
a loader for the default implementation
of JsonReadProvider
JsonObject
from a character streamJsonArray
."true"
or "false"
.String
"null"
.JsonNumber
.true
singletonCopyright © 2017. All rights reserved.


Designing Imagination
& currently designing our website
We're working hard to finish the development of our site. Stay in the loop to know once we launch.


Options
On Every Page
Automatically analyze hostname
Maximum Report Age
(hours)
API Parameters
Publish results on the public boards
Proceed when the certificate doesn't match the hostname
Depth of Analysis on Request
Hostname of document in tab
Hostname of document and all scripts in tab
Hostname of document and all resources in tab
Reset Options
Restore options to their original defaults.
Reset Options


wasakakero wrote:
What about minimize the Com Center and center align Battlelog itself?
Not sure if it's known yet, but doing this does exactly that when in full screen (or have a screen wide enough to have the right side com center bar).
---
Make a new favorite in your bookmarks, open up the new favorite and change the url to whats below:
javascript:document.body.className-='fullwidth';void(0);
Now save it, open up battlelog as normal and then click the new favorite and it will instantly force the com center into the small version that's in the corner and center the rest properly.
Here is 2 full screen shots showing it.
Before (after just opening battlelog).
http://i47.tinypic.com/2wrgttw.jpg
After (just after clicking the newly made favorite)
http://i48.tinypic.com/w9tan6.jpg
---
Perhaps you can make it an auto script on BBlog so that as soon as you go to battlelog it runs the above script and changed the layout.


Before Change
x_reduced = reducePCA(x,ndims)
// pad cols with zeros if ndims returned is less than ndims
if x_reduced[0].shape[1] < ndims:
for idx, x_r in enumerate(x_reduced):
x_reduced[idx] = np.hstack([x_r, np.zeros((x_r.shape[0], ndims-x_reduced[0].shape[1]))])
if align == True:
// Import is here to avoid circular imports with reduce.py
from .align import align as aligner
x_reduced = aligner(x_reduced)
After Change
// dictionary of models
models = {
"PCA" : PCA,
"FastICA" : FastICA,
"TSNE" : TSNE,
"Isomap" : Isomap,


Welcome to NullExpo
Welcome to the evergrowing marketing giant where you will make extra cash!
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The use of the RLL system is reasonable transparent from the view of the application programmer who is writing C programs, and the user who uses the resulting C programs. These users will find that the system is transparent in operation and needs the minimum of consideration.
Special considerations have to be taken by the programmer who is trying to produce routines that are suitable for inclusion into Runtime Link Libraries.
These constraints arise from a number of underlying causes:
The net effect is
There are various constraints that have to be met for routines that are to be placed into a RLL library. These are necessary because of a combination of the way the Runtime Linking process is implemented, and the need for libraries to be simultaneously shareable amongst many programs. These restrictions are:
Routines may, however, include references to functions or variables that are in the other modules that are in the same RLL library as themselves, or in other RLL libraries that were specified as being used by this RLL library when it was built.
If you are writing library routines in C, then this means that effectively these constraints translate into the following:
auto
variables. Assembler routines can also pass
parameters between themselves in registers.
It may be most efficient if a calling job passes a pointer to a fixed format area for the most common global references such as error value variables and file management structures.
Many routines will automatically satisfy these constraints and will already
be suitable for inclusion into a RLL library. A very useful tool in helping
you decide whether routines will be suitable for inclusion in a RLL is SLB,
the SROFF Librarian Program that is provided as part of the C68 package.
If run using the -W
parameter, it can give you an analysis of
the external references made by a module (XREFs), and also of the symbols in
the module that are globally visible (XDEFs).
The obvious question arises is what do you do with a routine which does not satisfy all the above constraints. An obvious simple example is a C routine which sets the global variable errno for reporting diagnostic information on an error return.
There are fundamentally two techniques available. These are:
It is quite likely that both of these techniques could be used in parallel. These techniques are now discussed in more detail.
The C pre-processor allows for any calls to library routines to be expanded into slightly different variants for routines that need additional parameters when present in a RLL. To assist the library programmer in implementing this, the preprocessor symbol RLL_LIBS will be set if the RLL version of a library routine is to be used.
You could have an entry in the header file that defines your library function in the form:
#ifdef RLL_LIBS
#define myfunc(p1,p2) RLL_myfunc(&errno,p1,p2)
#else
#define myfunc(p1,p2) RLL_myfunc(p1,p2)
#endif
This means that all references to myfunc in the original source code will have been replaced to calls to RLL_myfunc, and an additional parameter will have been added to the call. Having done this, you would then write the RLL version of the function that is to go into the library along the lines of:
/*
* This piece of code is written so that the RLL
* version is generated if RLL_LIBS is defined, and
* the standard version if it is not
*/
#ifdef RLL_LIBS
#define ERRNO * errnoptr
int RLL_myfunc (int *errnoptr, char *par1, int par2)
#else
#define ERRNO errno
int myfunc (char * par1, int par2)
#endif
{
......
ERRNO = error_code;
......
}
Points to note about this are that:
It is recommended that normally you provide both standard and RLL versions of any libraries you create so that the application programmer can make the final decision on whether to use RLL(s) or not. Making sure both versions are based on the same file helps ensure that the two versions are kept consistent with each other.
The above way of doing things is reasonable clear to understand and has the advantage that it can all be done at the C level. It has the disadvantage that parameters need to be copied with the attendant runtime overheads, and that it relies on the appropriate header file being included.
There is an alternative technique that can be used either instead of, or in addition to, the one mentioned in the previous section.
The technique is to break the call down into two stages:
If written in C the stub routine for the example would then look something like:
int myfunc (char * param1, int param2)
{
return RLL_myfunc (&errno, NULL, param1, param2)l
}
You can do this more efficiently if you use assembler for the stub routine. In this case you need to exploit knowledge of the way parameters are stored and write a routine for the AS68 assembler that looks something like:
.globl _myfunc
_myfunc:
pea errno ;set up pointer to errno
jsr _RLL_myfunc ;call main routine
lea 4(sp),sp ;remove parameter from stack
rts
This stub routine should then be included into a special stub library that will have the same name as the corresponding RLL library, but will have the _rls extension. Any time that a RLL library is linked in, any relevant stubs in the (stub( library will be statically linked into the main program to establish the link.
Note the fact that underscores need to be added to the C names when written in assembler. The corresponding code for the routine in the RLL library now becomes:
/*
* This piece of code is written so that the RLL
* version is generated if RLL_LIBS is defined, and
* the standard version if it is not
*/
#ifdef RLL_LIBS
#define ERRNO * errnoptr
int RLL_myfunc (int *errnoptr, char * dummy, char *par1, int par2)
#else
#define ERRNO errno
int myfunc (char * par1, int par2)
#endif
{
......
ERRNO = error_code;
......
}
Note that in this example the extra parameter which is
a pointer to errno
appears at the front
of the parameter list (because the parameters on the
stack are accessed from right to left when at the C level
- which means that the additional parameter is the first
one declared in the rll_myfunc()
routine).
There is also a dummy parameter between those added by
the stub routine and the original parameters to allow
for the fact that the return address for the
stub_myfunc()
routine is still there.
If you do not understand the above, then you should get the SOURCE disks that are available for use with C68 and look at some of the source code for routines in the LIBC_A library. A good example might be that for the ?????() routine.
When you build a RLL, it has to be assigned both a name for use by the THING system, and a version number.
The Version Number should always be of the form "n.mm" where "n" is the major version number and "mm" the minor version number. This Version Number information is used by the RLL system as follows:
The THING name of a RLL is made up of the main part of the filename plus the most significant part of the Version Number. Thus version 4.14 of the LIBC_RLL library would have a THING name of "LIBC4". There is a limit or 16 characters (including the character for the major version number) in a RLL THING name - if necessary the name will be truncated on the left. As the major version number is part of the THING name, then it is possible to have RLLs that are for different major numbers of the same library loaded simultaneously.
The system allows for you to have special user provided initialisation routines invoked at certain points. These routines are executed at the following points:
RLL_LoadInit()
will be called if present.
RLL_LinkInit()
will be
called if present. A typical use of this routine might
be to set up a series of pointers to global addresses
passed in from the parent routine to allow for backward
references to such addresses.
These routines are optional. If not included in the RLL when it is built, then no special additional routines will be called at these points. It is not expected that most RLLs will require these routines, but the facility is provided for special cases.
Once you have written your RLL compatible library module(s) and have done the compile to produce the SROFF versions of the files (the ones whose name end in _o), the next stage is to actually build all these modules into a RLL library.
Where for a standard library you use the SLB SROFF Librarian to build a library, the process of building a RLL library from its constituent models is more akin to building a program in that the LD linker is used rather than the SLB librarian program.
o get the LD linker to build a RLL library, you proceed as if you were about to link all the relevant modules into a single program, except that (at a minimum) you additionally specify the -R parameter to LD. The -R parameter is followed by the version number that is to be given to the generated RLL. Once you have done that the rest is done automatically by LD. Of course you still have to test the resultant RLL library!
To illustrate this you might well build a RLL library by using parameters to LD of the form:
-olibmine -R1.00 -rm
This would build the file LIBMINE_RLL (the _RLL extension is added automatically if not explicitly specified), giving it a version number of '1.00'. The -rm parameter has been used to specify that this library is to have a dependency on the library file LIBM_RLL which is the RLL version of the standard maths library. The system will also automatically set up a dependency on LIBC_RLL - the RLL version of the standard C library (Tip:- If you want to suppress the dependency on LIBC_RLL you can do this by explicily giving the -lc parameter to the linker).
Note that the above example illustrates the fact that it is possible to build one RLL library that has a dependency on other ones. However also note that it is necessary to explicitly state any such dependencies when you link a library - LD will not automatically follow any dependencies already set up in a RLL you link in.
Another point to note is that the RLL system treats symbol names as case sensitive. For situations in which this would be a problem, the LD linker provides an option to treat all case names as though they were upper case. If this option is used when building the RLL, then all names will be stored in upper case. You should then use the same option when linking programs that will use this RLL so that they only ask for symbols using upper case.
This is built in the same way as standard C68 library, using the SLB SROFF librarian program. The only difference is that the extension of stub libraries should be _rls.
It is not compulsory to have a stub library corresponding to each RLL library. If one is present it will be used, and if not no error message will be output. It really depends on the programmer producing the RLL library and the techniques that he used.
Note that is not necessary that the "Stub" libraries associated with a RLL library be present at runtime. This is because the stubs are statically linked into the main program at link time.
Testing a RLL is rather like testing any library routine - you have to write a suitable test program.
You may find that the Interactive and Debug facilities providing control of the RLM system from the SuperBasic level are useful while testing your code. You are likely to be continually loading/unloading any RLL that contains routines that you are trying to test.
There is a useful trick if you are working on producing an updated version of a RLL that you have already used in your current programs. Give the test version of your RLL a different major version number to your current "production" version. That way existing programs can still pick up the old tested version of the library, while your test program which you have linked to use the new one will (because it has a different major version number) select your test version.
When you have finished testing your new RLL, you can make a decision whether it is backward compatible with your existing RLL. If it is, then merely by giving it the same major version number as the existing RLL, but an updated minor version number all your programs will switch to using the new RLL. Do not forget, however, to unload the old copy of the RLL and put the new one in its place!


Physiome Journal Portal (PJP) Prototype Version 1¶
Welcome to the user documentation of Physiome Journal Portal Prototye v1. This document will give an overview of the components, how users may interact with each component and the interactions between each component. You may also find API Documentation.
Overview¶
The ultimate goal for Physiome Journal Portal (PJP) is to provide a platform for researchers to view and interact with multiscale physiological models from organism level to molecular level for different species. Users may view and interact with different organs, view the cells models and even run simulations. Please note that prototype version 1 of PJP is created to test functionalities and it is not polished to give the best UI and UX for this time being. UI and UX will be enhanced in version 2 and beyond.
You can find the API Documentation and User Documentation in this documentation.
User Documentation¶
For User documentations, please go to General Layout Overview.


Functions related to L-moments: computation of L-moments and trimmed L-moments of distributions and data samples; parameter estimation; L-moment ratio diagram; plot vs. quantiles of an extreme-value distribution.
| Version: | 2.6 |
| Depends: | R (≥ 3.0.0) |
| Imports: | stats, graphics |
| Published: | 2017-08-02 |
| Author: | J. R. M. Hosking |
| Maintainer: | J. R. M. Hosking <jrmhosking at gmail.com> |
| License: | Common Public License Version 1.0 |
| NeedsCompilation: | yes |
| Citation: | lmom citation info |
| Materials: | NEWS |
| In views: | Distributions, ExtremeValue |
| CRAN checks: | lmom results |
| Reference manual: | lmom.pdf |
| Package source: | lmom_2.6.tar.gz |
| Windows binaries: | r-devel: lmom_2.6.zip, r-release: lmom_2.6.zip, r-oldrel: lmom_2.6.zip |
| OS X binaries: | r-release: lmom_2.6.tgz, r-oldrel: lmom_2.6.tgz |
| Old sources: | lmom archive |
| Reverse depends: | lfstat, lmomPi, lmomRFA, sld, stUPscales |
| Reverse imports: | gld, hyfo, ParetoPosStable |
| Reverse suggests: | rasterList, TLMoments |
Please use the canonical form https://CRAN.R-project.org/package=lmom to link to this page.


Home Alone 4
The dream of any little bully is when parents are not at home and you have a whole house at your disposal! For Kevin McCallister, an old acquaintance of ours, those dreams are coming true. This time he is preparing to celebrate Christmas, waiting for parents and guests in a huge Superdome, stuffed with the most incredible technical devices. And believe me, the holiday will be amazing! Especially for the would-be bandits who planned to break into the house. After all, they do not yet know with whom they will have to deal...


{% include 'partials/phase_banner_beta.html' %}
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10 November 1998
Disease Outbreak Reported
An outbreak of Rift Valley fever has occurred in the Aioun area, in south-eastern Mauritania. There have been 300-400 human cases (febrile disease), including 6 deaths between 15 and 30 September (some with haemorrhage and icterus). The latter were aged between 14 and 40 years, and all were from areas where goats, sheep, cattle and camels are raised. In the Assaba area, 2 patients were admitted to hospital; both died. The epidemic peaked in late September/early October, and the most recent case was reported around 25 October. Rift Valley fever virus has been isolated from 2 samples (1 postmortem) at the Pasteur Institute in Dakar (Senegal). Livestock were also severely affected (with up to 100% abortion rates for some species), which will have serious economic consequences for the population. The Ministry of Health has issued recommendations, and is carrying out investigations with the support of WHO and FAO.


import numpy as np
from recursions import alpha, beta, gamma, eta, ap
import gmpy2 as gm
import itertools
from monomials import p_jk, generate_T, f_jk
from Polynomial import Polynomial
import sympy as sp
from util import HiddenPrints, bmatrix
from matplotlib import pyplot as plt
import tqdm
'''
This file contains functions used to study higher order quadrature on SG using n-harmonic splines
'''
[docs]def make_vortex(max_level):
'''
This function generates a list of addresses for the vertices chosen for
interpolation using the "vortex method."
Args:
max_level: integer representing the level of SG used for interpolation
Returns:
list of addresses for the vertices chosen for
interpolation using the "vortex method.
'''
addr0 = []
addr1 = []
addr2 = []
for i in range(max_level+1):
ad0 = '0'
ad1 = '1'
ad2 = '2'
for _ in itertools.repeat(None, i):
ad0 += '2'
ad1 += '0'
ad2 += '1'
addr0.append(ad0)
addr1.append(ad1)
addr2.append(ad2)
return addr0 + addr1 + addr2
[docs]def vandermonde(j):
'''
This function creates the interpolation "Vandermonde" matrix used for determining
quadrature weights using up to j-harmonic splines.
Args:
j: maximum degree of harmonic spline used
Returns:
np.array that is the interpolation matrix used for determining
quadrature weights using up to j-harmonic splines.
'''
addresses = make_vortex(j)
q_mat = np.zeros((3*j+3, 3*j+3))
for ind1 in range(3*j+3):
for ind2 in range(3*j+3):
jj = int(np.floor(ind1/3))
kk = int(ind1 % 3 + 1)
with HiddenPrints():
q_mat[ind1, ind2] = p_jk(addresses[ind2], jj, kk)
return q_mat
[docs]def ints_vec(j):
'''
This function computes the integrals of {P_01, P_02, P_03, ..., P_j2, P_j3}.
Args:
j: maximum degree of polynomial
Returns:
np.array of integrals of {P_01, P_02, P_03, ..., P_j2, P_j3}
'''
res = np.zeros(3*j+3)
for ind in range(3*j+3):
jj = int(np.floor(ind/3))
kk = int(ind % 3 + 1)
res[ind] = Polynomial.basis_inner(jj, kk, 0, 1)
return res
[docs]def get_weights(j):
'''
This function determines the quadrature weights for n-Harmonic splines quadrature
using the P_jk basis
Args:
j: maximum degree of polynomial used for quadrature
Returns:
np.array of quadrature weights for the basis {P_01, P_02, P_03, ..., P_j2, P_j3}
'''
return np.linalg.solve(vandermonde(j), ints_vec(j))
#print(np.linalg.inv(quad_mat(5)))
#print(make_vortex(3))
#print(sum(get_weights(20)))
[docs]def quad_int(func, j):
'''
This function calculates the quadrature integral for a given function.
Args:
func: function whose input is the address of a point on SG
(according to the convention in monomials.py)
j: maximum degree of polynomial used for quadrature
Returns:
approximate integral of func
'''
addresses = make_vortex(j)
func_vals = np.zeros(3*j+3)
for i in range(len(addresses)):
func_vals[i] = func(addresses[i])
weights = get_weights(j)
return func_vals.dot(weights)
[docs]def make_block(ind1, ind2):
'''
This function is used to generate the blocks in the block-matrix form
of the generalized vortex method for interpolation.
Args:
ind1, ind2: block matrix indices in the block form of the
generalized vortex method for interpolation
Returns:
sp.Matrix block C_ij in the block form of the
generalized vortex method for interpolation
'''
# ad0, ad1, ad2 = '0', '1', '2'
ad0 = '0'
for _ in itertools.repeat(None, ind1):
ad0 += '1'
# ad1 += '2'
# ad2 += '0'
a = f_jk(ad0, ind2, 1)
b = f_jk(ad0, ind2, 2)
c = f_jk(ad0, ind2, 3)
return sp.Matrix([[a, b, c], [c, a, b], [b, c, a]])
[docs]def make_big_mat(j):
'''
This function creates the block form of the generalized vortex method for interpolation
Args:
j: maximum degree of polynomial used for quadrature
Returns:
sp.Block_Matrix representing the generalized vortex method for interpolation
'''
big_list = []
for ind1 in range(1,j+1):
small_list = []
for ind2 in range(1,j+1):
small_list.append(make_block(ind1, ind2))
big_list.append(small_list)
return sp.BlockMatrix(big_list)
[docs]def block_to_regular(mat):
'''
This function converts an sp.Block_Matrix to an sp.Matrix
with the same elements
Args:
mat: sp.Block_Matrix to be converted
Returns:
sp.Matrix with the same elements as mat
'''
res = sp.zeros(mat.rows, mat.cols)
for i in range(mat.rows):
for j in range(mat.cols):
res[i, j] = mat[i, j]
return res
# myfunc = lambda addr: p_jk(addr, 4,2)
# print(quad_int(myfunc, 3))
# print(quad_int(myfunc, 4))
# print(quad_int(myfunc, 5))


Check the HTML if you're not sure how to include the icons to your project.
Don't forget that every icon is available as a separate SVG file as well.
© Martin Allien (@AllienWorks), released under MIT licence


Applies To
- Web Applications
- Server-side
What to Do
Write a dedicated logging library or class and use it whenever log entries have to be generated.
Why
A centralized logging subsystem is simpler to maintain and implement correctly.
When
Use this guideline when writing an application that generates log entries.
How
Perform the following actions to centralize logging:
- Identify existing logging functionality. Examine the application architecture to identify logging facilities, such as the logging API and where audit trails are actually stored. Make a list of APIs used to log events, document how to use them, and where they store logs.
- Design the logging subsystem. Design and implement a class or library specifically for logging. When designing the logging subsystem, consider sending logs to a remote log server. Consider the following factors when designing the logging subsystem:
- Log throttling
- Logging important event details for both successful and failed operations
- Logging important security operations
- Logging important business operations
- Monitoring the use of privileged accounts
- Logging user management events
- Avoiding including sensitive information in logs
- Logging unusual activity
- Sending logs to a centralized server
- Implement the logging subsystem. Write code that generates log entries according to your design.
- Use the logging subsystem. Use the logging class or library whenever logs are generated. If earlier code exists that generates log entries, replace it with calls to the new logging subsystem API.


Home
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API
Optimization
Use with jQuery
Use with Node
CommonJS Notes
FAQs
Why
Requirements
History
Get Help
Blog
Twitter
GitHub
Contributing
0.15.0 Docs


An unsupported edition of Windows () has been detected on the host. RemoteApps will not work on this host.
Allows publishing of RemoteApps to the client's Start menu, or to the Microsoft Remote Desktop mobile app. Webfeed is accessible without authentication.
* The web interface must be restarted for this change to take effect.


All police stations now have rape evidence collection kits, Cele assures MPs
by Jan GerberAll police stations now have sufficient rape evidence collection kits, Police Minister Bheki Cele assured the National Assembly on Wednesday.
In September, Cele said all police stations would have the kits by October 14. However, he missed the deadline, despite President Cyril Ramaphosa having said he would monitor this himself.
When Ramaphosa answered questions in the National Council of Provinces on October 10, DA MP Cathy Labuschagne asked him to undertake that this would indeed be the case.

"I will monitor this myself," he said without committing to a date. Two weeks later, when Ramaphosa answered questions in the National Assembly, DA MP Siviwe Gwarube said the money allocated to fight gender-based violence meant nothing if the police couldn't gather evidence.
She said Cele hadn't met the deadline he set for when each police station was supposed to have had the rape evidence collection kits for adults and children. 76% of police stations didn't have adult kits, and 69% didn't have kits for children.
READ MORE: SAPS signs deal to supply rape kits at police stations across the country
Ramaphosa said he was "really, really disturbed" to hear this and promised to speak to the minister.
"I want to put the minister on the spot," he said.
On Wednesday, Cele was answering questions in the National Assembly, when DA MP Andrew Whitfield asked him whether all the stations now had the kits.
"All provinces have no single police station that is minus the kits at the moment," Cele said.
"All police stations have enough kits."
Whitfield then asked why he had not met the initial deadline.
Cele said some of the kits had to be taken away from stations to family violence, child protection and sexual offences units.
He said there now was a contract in place for the provision of the kits for the next three years.


--- layout: post title: Day 5! date: 2018-11-10 01:41:20.000000000 +05:30 type: post parent_id: '0' published: true password: '' status: publish tags: [TalkToMyself] meta: timeline_notification: '1541794283' _rest_api_published: '1' _rest_api_client_id: "-1" _publicize_job_id: '24095855315' author: login: priyankasaggu119 email<EMAIL_ADDRESS>display_name: priyankasaggu119 first_name: '' last_name: '' permalink: "/2018/11/10/day-5/" ---
November 9, 2018
It's really hard to work on one's own accordance, and yes, the same is happening to me. It feels like I am awfully far away from the track that I should actually be traversing on. I am not able to work on things that I planned for myself. But then what about the things that I am doing right now? Do they count in my life? Do they carry any significance?
Sometimes to me, and most of the time to all others, they are worthless, or typically useless.
But, are they really useless to me?
The answer is NO.
Use less the thoughts
which others give.
  The good you do takes you a step ahead and the bad you do keeps you at what you are, makes you apprehensive.
Okay, I will talk here a bit.
I have plenty of time, so much so that I can easily do what I have planned for me. And even more. So, what/who is stopping me? my laziness?
Umnn, that might be true.
But I am not lazy to do other things then. I can easily sit for hours and do pieces of stuff which sounds more interesting to me. Take the example of things I did today
But then How these are adding to me?
For all those, who already have made their minds that me doing all the above things, is worthless. I just wanna say, I really can't do anything for you _/\_.
For me and rest,
I am trying to scrutinize myself. Though this is taking a little longer while this is how I am trying to give some space to myself. I am trying to learn how life will not offer me hands to hold and shoulders to cry on, every time. Rather it will bestow me with *problem statements* (as we folks say) that I myself have to break and solve and move on.
Fortunately, folks like me have mentors in their lives, in face of a Friend, Philosopher, and Guide. We are blessed with parents who are capable of giving us everything to lead an easy going life.
What we don't have is "Peace of mind". And for that, we need to give ourselves some space to observe what is troubling us most. We need to solve our own problems first before moving onto the set of *Problem statements* of life.
I am also trying to do the same :) .
And, I feel most blessed,
That’s because I have been fortunate enough to have people in my life who have taught me so well, that I cannot imagine life without what they did for me.
- Mario Jason Braganza (To Subra)
Thanks a lot to you. 😇 🙏


---
layout: page
title: Introduction
excerpt: "An undergraduate course at the John Carter Brown Library, Brown University."
search_omit: true
---
History of the Book in the Americas and Beyond is an undergraduate seminar collaboratively designed and taught by staff at the John Carter Brown Library at Brown University. The instructors are: Neil Safier, director; Hannah Alpert-Abrams, Postdoctoral Fellow in the History of the Book; and Stijn van Rossem, Curator of European Books.


{{vm.animal.description}}
chat {{comment.author}} {{comment.text}}
chat {{comment.author}}
{{comment.text}}


Grace Millane 'killer talked to date about burying bodies as backpacker lay dead'
The alleged killer of Grace Millane made another woman feel 'uncomfortable' after telling her one of his friends was convicted of manslaughter after strangling his girlfriend to death during rough sex
by Matthew Dresch, https://www.mirror.co.uk/authors/matthew-dresch/Grace Millane's alleged killer told another Tinder date that police dogs could not smell dead bodies deep underground.
The defendant, who cannot be named for legal reasons, went on the date while the British backpacker lay dead in his hotel room in Auckland, New Zealand, a court heard.
The 27-year-old defendant is currently on trial over the murder of Grace, although he claims she died by accident during rough sex.
A former journalist told the jury today that the accused made her feel 'uncomfortable' on their Tinder date, resulting in her telling him she did not want to see him again.
She met the defendant in a bar in the trendy Auckland suburb of Ponsonby on December 2 last year.
In the previous hours, the man had bought a large suitcase in which he buried Grace’s body in remote woodland the next day, having strangled her during sex, according to the prosecutor.
The defendant, who cannot be named for legal reasons, had also been busy buying cleaning products to get rid of her blood from his carpet.
At the same time, from before 8am, he was texting the woman to finalise their date that afternoon.
But when the woman arrived at Revelry shortly before 4pm, he told her all his friends were police officers, including two sisters, and his closest pal was coming to New Zealand to be a Crown prosecutor, she told Auckland High Court.
When she told the man she had watched a murder case as a journalist and seen a 21-year-old man jailed, she said he told her: “It’s crazy how guys can make one wrong move and go to jail for the rest of their life.”
“He said he had heard of a guy who asked his girlfriend to have rough sex with him including strangulation or suffocation and it had gone wrong and she had died in the process and he had got done for manslaughter.
“He was very intense, quite calm though,” she added.
"He seemed a bit aloof and not quite judging how I was responding to the story.
“I think he was in his own world telling this story. I think I just felt a bit uncomfortable. I changed the topic to travelling in the south island.”
But, she said, the man also told how her his police friends were “having a tough time because a lot of people are going missing.”
He allegedly told her a number of people were thought to be missing in the hills west of Auckland, where he would bury Grace’s body the next morning.
The court heard he also told her “police dogs can’t smell bodies that are buried more than four feet in the ground.”
The woman said she spent up to two hours with the man at the Revelry bar, in which he drank two beers.
He had told her that he had been a senior manager for a major retail chain in Australia and an international level sportsman before moving to New Zealand to look after his sick grandmother.
But when she left the bar with him, she didn't walk directly back to her car to avoid him, she told the court.
“I felt uncomfortable with him so I just lied and said my car was in the opposite way,” she said.
“He wrote to me later by text saying, hey, I had a really great time would you like to do it again? and I said no, I wouldn’t.”
The trial continues.


This post will give a short demonstration of the Device Storage API.
Firefox OS divides the storage into the following storage areas.
apps
: This storage area is used to store the user data needed by apps. Only available for certified application only.music
: This is the storage area where music and sounds are stored.pictures
: This is the storage area where pictures are stored.sdcard
: This is the storage area that give access to the device's SD Card.videos
: This is the storage area where videos are stored.To access a certain storage area, use the navigator.getDeviceStorage()
method. Also, each storage area requires explicit permissions. For example, to access the sdcard
and videos
areas, the following is needed in the manifest
"permissions": {
"device-storage:videos":{ "access": "readonly" },
"device-storage:sdcard":{ "access": "readwrite" }
}
The access property can be
readonly
readwrite
readcreate
createonly
After that, we are ready to access the storage area.
A good first step is to check if the storage area has enough space for your intended use. The DeviceStorage.freeSpace()
method provides the information. It returns the amount of free space in bytes
var pics = navigator.getDeviceStorage('pictures');
var request = pics.freeSpace();
request.onsuccess = function () {
var size = parseInt(this.result / 1048576);
document.querySelector("#available-storage").innerHTML = size + " MB";
}
request.onerror = function () {
console.error(this.error);
utils.status.show("Could not access the device storage");
}
There are two methods to add a file, add()
and addNamed()
. The system creates a name for the file when using add()
. Both files except a Blob
.  All together, one might use the methods as follows.
var sdcard = navigator.getDeviceStorage("sdcard");
var file = new Blob(["This is a text file."], {type: "text/plain"});
var request = sdcard.addNamed(file, "my-file.txt");
request.onsuccess = function () {
var name = this.result;
console.log('File "' + name + '" saved');
}
// An error typically occur if a file with the same name already exist
request.onerror = function () {
console.warn('Unable to write the file: ' + this.error);
}
It's important to mention what mime type each storage area expects
music
: valid audio mime typespictures
: valid image mime typesvideos
: valid video mime typeThe information above is intuitive but worth mentioning.
Retrieving a file is much simpler, simple provide the file name to DeviceStorage.get()
.
var sdcard = navigator.getDeviceStorage("sdcard");
var request = pics.get("my-file.txt");
request.onsuccess = function () {
var file = this.result;
console.log(file);
}
request.onerror = function () {
console.error(this.error);
}
The result of the get request is a FileHandle
object.
Deleting files is also simple. Use DeviceStorage.delete()
var sdcard = navigator.getDeviceStorage("sdcard");
var request = pics.get("my-file.txt");
request.onsuccess = function () {
console.log("File deleted");
}
request.onerror = function () {
console.error(this.error);
}
The demo for this API uses the methods mention above on the pictures
storage. The reason for this is that I was unable to use the sdcard
storage area. After a bit of head scratching I figured out how to convert an image from a URL into a Blob
. The demo resides here (only works in the simulator and the source code is at Github.


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{% extends 'emails/base_template.html' %} {% block content %} {% load humanize %}
Hello,
The monthly billing summary for your oxd license is now available.
Your account will be billed automatically on {{billing_date}}.
Account Name: {{account_name}}
Reference ID: {{payment.invoice_id}}
Total Charges: ${{payment.amount|floatformat:2 | intcomma}}
{% if payment.credits_used %}
Credits Used: ${{payment.credits_used|floatformat:2 | intcomma}}
Amount Charged: ${{payment.paid_amount|floatformat:2 | intcomma}}
{% endif %}
{% if last_4 %}
Last 4 of the billing: {{last_4}}
{% endif %}
We noticed that you haven't added a credit card yet. Please attach a credit card to your account to keep using your licences after your free credit has expired.
{% else %}If you want to review or make changes to your payment information, log into your account.
{% endif %}If something is unclear or you need to dispute any charges, please reply to this email.
Each time oxd is installed on a VM or server, the machine's MAC Address is recorded. If a MAC Address cannot be found a UID is generated for that machine. Active installations are counted and billed $0.33 per day.
Monthly usage records:
| MAC Address or UID | Days Active | Charged |
| {{mac}} | {{usage.0}} | ${{usage.1}} | Total | {{record.number_licenses}} | ${{record.total_usd}} |
Thank you,
Gluu


Interface MathTransformProvider
-
- Functional Interface:
- This is a functional interface and can therefore be used as the assignment target for a lambda expression or method reference.
@FunctionalInterface public interface MathTransformProvider
An object capable to createMathTransform
instances from given parameter values. This interface is the Apache SIS mechanism by which formula are concretized as Java code.Implementations of this interface usually extend
DefaultOperationMethod
, but this is not mandatory. This interface can also be used alone sinceMathTransform
instances can be created for other purpose than coordinate operations.This interface is generally not used directly. The recommended way to get a
MathTransform
is to find the coordinate operation (generally from a pair of source and target CRS), then to invokeCoordinateOperation.getMathTransform()
. Alternative, one can also use a math transform factoryHow to add custom coordinate operations to Apache SISDefaultMathTransformFactory
can discover automatically new coordinate operations (including map projections) by scanning the classpath. To define a custom coordinate operation, one needs to define a thread-safe class implementing both thisMathTransformProvider
interface and theOperationMethod
one. While not mandatory, we suggest to extendDefaultOperationMethod
. Example:Then the fully-qualified class name of that implementation should be listed in a file reachable on the classpath with this exact name:public class MyProjectionProvider extends DefaultOperationMethod implements MathTransformProvider { public MyProjectionProvider() { super(Collections.singletonMap(NAME_KEY, "My projection"), 2, // Number of source dimensions 2, // Number of target dimensions parameters); } @Override public MathTransform createMathTransform(MathTransformFactory factory, ParameterValueGroup parameters) { double semiMajor = values.parameter("semi_major").doubleValue(Units.METRE); double semiMinor = values.parameter("semi_minor").doubleValue(Units.METRE); // etc... return new MyProjection(semiMajor, semiMinor, ...); } }
META-INF/services/org.opengis.referencing.operation.OperationMethod
- Since:
- 0.6
- See Also:
DefaultOperationMethod
,DefaultMathTransformFactory
,AbstractMathTransform
Defined in the
sis-referencing
module
-
-
Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description MathTransform
createMathTransform(MathTransformFactory factory, ParameterValueGroup parameters)
Creates a math transform from the specified group of parameter values.
-
-
-
Method Detail
-
createMathTransform
MathTransform createMathTransform(MathTransformFactory factory, ParameterValueGroup parameters) throws InvalidParameterNameException, ParameterNotFoundException, InvalidParameterValueException, FactoryException
Creates a math transform from the specified group of parameter values.Implementation example: The following example shows how parameter values can be extracted before to instantiate the transform:public MathTransform createMathTransform(MathTransformFactory factory, ParameterValueGroup parameters) { double semiMajor = values.parameter("semi_major").doubleValue(Units.METRE); double semiMinor = values.parameter("semi_minor").doubleValue(Units.METRE); // etc... return new MyProjection(semiMajor, semiMinor, ...); }
Purpose of the factory argumentSome math transforms may actually be implemented as a chain of operation steps, for example a concatenation of affine transforms with other kind of transforms. In such cases, implementations should use the given factory for creating the steps.- Parameters:
factory
- the factory to use if this constructor needs to create other math transforms.parameters
- the parameter values that define the transform to create.- Returns:
- the math transform created from the given parameters.
- Throws:
InvalidParameterNameException
- if the given parameter group contains an unknown parameter.ParameterNotFoundException
- if a required parameter was not found.InvalidParameterValueException
- if a parameter has an invalid value.FactoryException
- if the math transform can not be created for some other reason (for example a required file was not found).
-
-


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Johns Hopkins Hospital
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Tomas Garzon-Muvdi, M.D.
Johns Hopkins Hospital
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Johns Hopkins University
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Johns Hopkins University
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Johns Hopkins University
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Wayne State University
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---
layout: default
title: Datasets
---
Unimodal and Cross-Modal Hashing Datasets
Unimodal Datasets:
For unimodal experiments (query and database are in the same feature space e.g. images), there are six popular and freely available image datasets: LabelMe, CIFAR-10, NUS-WIDE, MNIST, SIFT1M and ImageNet. The datasets are of
widely varying size (22,019-1.3 million images), are represented by an array of different
feature descriptors (from GIST, SIFT, RGB pixels to bag of visual words) and cover a diverse
range of different image topics from natural scenes to personal photos, logos and drawings.
Cross-modal Datasets:
Cross-modal retrieval experiments (query and database can be in different feature spaces e.g. image and text) are typically conducted on the `Wiki' dataset, Microsoft COCO and NUSWIDE datasets. All datasets come with images and associated
paired textual descriptors, a key requirement for training and evaluating a cross-modal
retrieval model.
{% assign publicationsList = site.data.morantaxonomy | sort: "bibkey" %}
| Name | Dataset | Modality | Size | Features |
{% for publication in publicationsList %}{% if publication.categories contains "dataset" %}
{% assign pubDetails = site.publications | where:"bibkey", publication.bibkey %}
| {{pubDetails[0].authors}}, {{pubDetails[0].year}}.{{pubDetails[0].title}} |
{{publication.name}} |
{{publication.modality}} |
{{publication.size}} |
{{publication.features}} |
{% endif %}{% endfor %}


3.0 Least Square Inner Product : Given $ \mathbf{u,v} \in \mathbb{R}^n$, we can consider $ \mathbf{u,v} $ as $n \times 1$ matrices. The number $\mathbf{u^Tv}$ is called inner product or dot product, and it is written as $ \mathbf{u \cdot v} $. Vector Norm : The length or magnitude of $\mathbf{v}$, can be calculated as $ \sqrt{ \mathbf{v} \cdot \mathbf{v} }$ $L_p$ Norm : $ \Vert \mathbf{x} \Vert_p = (
2.1 Linear Equation and Linear System Linear Equation is an equation that can be written in the form $$ a_1x_1 + …. a_nx_n = b $$ The above equation can be written as $ \textbf{a}^T \textbf{x} = b $. Linear System is a collection of one or more linear equations Identity Matrix : $I$ is a square matrix whose diagonal entries are all 1’s and all the other entries are
1.1 Scalars, Vectors, Matrices, and Tensors Scalars : just a single number, italics in this book, lower-case variable name, such as $x$ (loswercase)
Vectors : an array of numbers, in order, bold lower case name, such as $\bf x$ (bold lowercase)
Matrices : 2-D array of numbers, with two indices, bold uppercase variable name, such as $A$ (uppercase)
Tensors : an array of numbers arranged on a regular grid with a variable number of axes.
6.1 Introduction Statistical Inference, or “learning” as it is called in computer science, is the process of using data to infer distribution that generated the data. 6.2 Parametric and Nonparametric Models A statistical model $\Im$ is a set of distributions (or densities or regression functions)
Parametric model : is a set of $\Im$ that can be parameterized by a finite number of parameters
If we assume that the data come from a Normal distribution, then It would be two-prarmeter model.
5.1 Introduction The law of large numbers says that the sample average converges in proability to the expectation $ \mu = \mathbb{E}(X_i)$
The central limit theorem says that $ \sqrt{n} (\overline{X - \mu})$ converges in distribution to a Normal distribution.
5.2 Types of Convergence $X_n$ converges to $X$ in probability, written $X_n \xrightarrow{P}{} X$ if for every $\epsilon > 0$ $$ \mathbb{P}(|X_n - X| > \epsilon) \rightarrow 0$$
$X_n$ converges to $X$ in distribution, written $X_n \rightsquigarrow X$ if $$ \lim_{n\rightarrow \infty} F_n(t) = F(t) $$
3.1 Expectation of a Random Variable The expected value, or mean, or first moment of $X$ is defined to be $$ \mathbb{E}(X) = \int xdF(x) = \begin{cases} \sum_x xf(x) & (\text{if X is discrete})\ \int xf(x)dx & ( \text{if X is continuous}) \end{cases}$$
3.3 Variance and Covariance The variance measures the spread of a distribution $$ \sigma^2 = \mathbb{E}(X-\mu)^2 = \int (x-\mu)^2 dF(x) $$
The covariance and correlation between $X$ and $Y$ measure how strong the linear relationship is between $X$ and $Y$ $$\text{Cov}(X,Y) = \mathbb{E}((X-\mu_X)(Y- \mu_Y ))$$
2.1 Introduction How do we link sample spaces and events to data? Random Variable!
A random variable is a mapping $ X : \Omega \rightarrow \mathbb{R} $ that assigns a real number $X(\omega)$ to each outcome $\omega$.
2.2 Distribuition Functions and Probability Functions Cumulative Distribution Function (CDF) : is the function $F_x : \mathbb{R} \rightarrow [0,1] $ defined by $$F_X(x) = \mathbb{P}(X \leq x)$$
Probability Mass Function : A Random Variable $X$ is discrete if it takes countably many values ${x_1, x_2, …}$.


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ABOUT US
WE LOOOOVVEEE FOOD.
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Collin and Berto are both Juniors in CC who just have to share their passion for food through this web app. CHEERS!
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WE LOOOOVVEEE FOOD.
Collin and Berto are both Juniors in CC who just have to share their passion for food through this web app. CHEERS!


{% load humanize %} {% load dice_extras %}
Ethereum Dice is a smart-contract-driven dice betting application using Oraclize and Random.org. It is 100% open-source, fair play and pure trust in meaning.


Guidance
Types of apprenticeships that you can apply for in the providing financial advice sector.
This apprenticeship trains you to advise on financial matters like investments, pensions and savings.
Financial adviser’s help people make the most out of their money, whatever they have. A career in financial advice is about working with people to plan their financial goals, whether that’s choosing a mortgage, investing their savings or planning for their retirement.
You’ll be meeting clients, staying up-to-date with financial markets, negotiating prices with providers of financial products and putting together financial plans based on your client discussions.
This is a higher level providing financial advice apprenticeship. You could train in roles like:
You can become an apprentice in England if you’re:
Published: 21 March 2014


Educational Assessment BOOC Exit Survey
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are three short pages of required questions, and one page of optional
questions.
This survey is a requirement for receiving the Assessment Expert
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three Assessment Expertise Badges (Practices, Principles, & Policies)
and you completing the Final Exam.
Thanks again from Team BOOC!
Dan, Tara, Thomas, Garrett, Retno, & Cindy


There I sat engaged in guessing the meaning of each cursed expression,
Endless callbacks in procession; nameless functions, nothing more,
This and more I sat divining, strength and spirit fast declining,
Disclose the value we’re assigning! Tell me—tell me, I implore!"
- from If Hemingway Wrote JavaScript by Angus Croll. (adapted excerpt based on “The Raven” by Edgar Allan Poe)


Plane crashes in Texas after slowing down to dump 350 gallons of pink water in gender reveal stunt, officials say
by Paulina DedajA recent plane crash in Texas that resulted in “substantial damage” to the aircraft and at least one injured person was caused by a gender reveal stunt gone wrong, officials said in a report Friday.
An Air Tractor AT 602 crashed on Sept. 7 in Turkey, a small city just 90 miles west of the Oklahoma border, after slowing down too much in order to dump out “350 gallons of pink water” as a part of a gender reveal, the National Transportation Safety Board said.
OHIO WOMAN MAULED TO DEATH BY TWO ‘LARGE, THIN’ DOGS; POLICE STUMBLE UPON HORRIFIC AND BLOODY SCENE
The pilot reportedly told officials that they were maneuvering at a low altitude when the plane “got too slow,” causing it to aerodynamically stall before crashing.
“The airplane sustained substantial damage to the fuselage, right wing, and empennage,” the NTSB report read.
A Federal Aviation Administration inspector also reported that there were two people aboard the single seat plane.
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The pilot sustained minor injuries and the second passenger was unharmed.
A 56-year-old woman in Iowa died last month after getting struck by debris from an explosion at a gender reveal party.


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|
Team 302 Robot
|
Directories | |
| directory | factories |
| directory | interfaces |
| directory | usages |
Files | |
| file | DragonAnalogInput.cpp [code] |
| file | DragonAnalogInput.h [code] |
| file | DragonDigitalInput.cpp [code] |
| file | DragonDigitalInput.h [code] |
| file | DragonLidar.cpp [code] |
| file | DragonLidar.h [code] |
| file | DragonLimelight.cpp [code] |
| file | DragonLimelight.h [code] |
| file | DragonPDP.cpp [code] |
| file | DragonPDP.h [code] |
| file | DragonPigeon.cpp [code] |
| file | DragonPigeon.h [code] |
| file | DragonPositionSensor.cpp [code] |
| file | DragonPositionSensor.h [code] |
| file | DragonServo.cpp [code] |
| file | DragonServo.h [code] |
| file | DragonSolenoid.cpp [code] |
| file | DragonSolenoid.h [code] |
| file | DragonSparkMax.cpp [code] |
| file | DragonSparkMax.h [code] |
| file | DragonTalon.cpp [code] |
| file | DragonTalon.h [code] |
| file | DragonTalonTach.cpp [code] |
| file | DragonTalonTach.h [code] |
| file | DragonUltrasonic.cpp [code] |
| file | DragonUltrasonic.h [code] |
| file | DragonUltrasonicPWM.cpp [code] |
| file | DragonUltrasonicPWM.h [code] |
| file | DragonVision.cpp [code] |
| file | DragonVision.h [code] |
| file | LED.cpp [code] |
| file | LED.h [code] |


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There's nothing more important to us than giving back to our communities any way we can.We don't just make pizza-we make an impact by supporting schools,first responders, active military and veterans, youth organisations and local teams. As America's Hometown Pizza Place, we've been proudly supporting our hometowns for over 60 years.


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