In this post I am going to reformulate the work of my Master Thesis Max Margin Markov Networks and Deep Neural Networks for Stereo Imaging.
The idea of my master Thesis is to mingle deep neural network and graphical model. We know that deep neural networks are great at creating high level features and that Graphical Models are an excellent tool for enforcing structure. In this work, we want to have the best of both approaches. To this end we rely on the Max Margin Markov Network (M3N) framework.
In my Master thesis at Caltech, I proposed a first instantiation of this idea. But it turned out to be very slow and computationally expansive. In this blog post, I revisit the original approach and I propose a equivalent formulation that is much faster.
Graphical Models
Graphical Models have been extensively used in Computer Vision under the form of Markov Random Field, MRF, and Conditional Random Fields, CRF. In this blog, we abusively use the notation MRF for either an MRF or a CRF.An MRF has a support graph composed of nodes \( \mathcal{V} \) and edges \( \mathcal{E} \). A set of random variables \(x = (x_i)_{i \in \mathcal{V}} \) that all take value in some discrete space \( \mathcal{L} \) represents the configuration of each node. A unary term \( u_i: \mathcal{L} \rightarrow \mathbb{R}\) encodes the cost of each node \( i \in \mathcal{V} \). A pairwise term \( p_{i, j}: \mathcal{L} \times \mathcal{L} \rightarrow \mathbb{R}\) encodes the cost of each edge \( (i,j) \in \mathcal{E} \). The cost of the a given configuration \(x\) is given by: $$ MRF(x) = \sum_{i \in \mathcal{V}} u_i (x_i) + \sum_{(i, j) \in \mathcal{E}} p_{i,j}(x_i, x_j) $$ The configuration of minimum cost of an MRF is called the Maximum A Posteriori configuration: $$ x_{opt} = \underset{x}{\text{argmin}} MRF(x) $$ Computing the MAP is generally an NP-hard problem, so we are only guaranteed to find approximate solutions.
Stereo Matching
In the context of stereo matching, we want to register a reference image, \( I_{ref} \) to a target image \( I_{tar} \). Each pixel of the reference image has along the epipolar line an apparent motion that is called disparity. Hence, we associate a node \( i \) and a discrete random variable \( x_i \) to each pixel of the reference image. The discrete random variable encodes a potential disparity that takes value in \( \mathcal{L} \subset \mathbb{N} \).The unary terms encodes the likeliness of a potential disparity based on a similarity prior. Hence, they measure how a patch \( P_{ref}(i) \) of the reference image centered around pixel \( i \) is similar to the patch \( P_{tar}(i, x_i) \) of the large image centered around pixel \( i \) translated by disparity \( x_i \). The notion of similarity is encoded by a scoring function \( s \) parametrized by \( \theta \): $$ u_i (x_i; \theta) = s(P_{ref}(i), P_{tar}(i, x_i); \theta) $$ This scoring function can as simple as the sum of absolute difference of the two patches or it can be modeled by a Deep Neural Network as in the Paper of Serguey Szagoruyko .
The pairwise terms enforce a structure prior called regularization based on piecewise smoothness. To this end they penalize the gradient of the disparity. $$ p_{i,j}(x_i, x_j; \lambda, \alpha) = w_{i, j}(I_{ref}; \lambda) \min(|x_i - x_j|, \alpha) $$ The strength of this regularization is modulated by \(w_{i, j}\) so that contours of the disparity align with contours of the reference image: $$ w_{i, j} (I; \lambda) = \lambda_{cst} + \lambda_{grad} \exp (- \lambda_{\sigma^{-1}} |I(i) - I(j)|) $$ Again, we could have use a more complex regularization function where \( w_{i, j} \) will have been modeled as Deep Neural Network.
We now have an MRF that has a set of parameters \(\tau = (\theta, \alpha, \lambda) \). Our goal is to tune automatically those parameters.What is a Max Margin Markov Network?
Let's assume we are given k-MRFs with associated optimal configurations \(x_{gt}^k \) and common parameters \(\tau \). We want to find the parameters \(\tau \) that will make, ideally, each \(x_{gt}^k \) the Maximum A Posteriori, MAP, solution for \(MRF^k \). Unfortunately since the \( \text{argmin} \) is not differentiable we cannot directly learn the parameters \(\tau \) by minimizing for instance: $$ \begin{align} & \underset{\tau}{\text{minimize}} & \sum_{k} \| x^k_{gt} - \underset{x^k}{\text{argmin}} ~\ MRF^k(x^k; \tau) \| \end{align} $$ However, while \( \text{argmin} \) is not differentiable the operator \( \text{min} \) is differentiable. The Max Margin Markov Network exploits this fact and it attempts to make the energy of ground truth of \( (MRF^k)_k \) to coincide with the MAP energy. To this end, it optimizes: $$ \begin{align} & \underset{\tau}{\text{minimize}} & & R(\tau) + \sum_{k} [ MRF^k (x_{gt}^k ; \tau) - \underset{x_k}{\min} ( {MRF}^k (x^k ; \tau) - \Delta(x_{gt}^k, x^k) )] \end{align} $$ with:
- \(R \) a regularization function of the parameters, optional.
- \(\Delta\) is a margin function that make all solutions different from \(x^k_{gt}\) to have an higher cost.
Assuming that we can write \( \underset{x_k}{\min} ( {MRF}^k (x^k ; \tau) - \Delta(x_{gt}^k, x^k) )] \) as a differentiable computational graph, then we can use backpropagation techniques to optimize over \( \tau \). This is were we can derive two approaches.
Master thesis approach
In my Master thesis, I used the dual decomposition solver from Nikos Komodakis to compute a lower bound of \( \underset{x_k}{\min} ( {MRF}^k (x^k ; \tau) - \Delta(x_{gt}^k, x^k) )] \). I embedded this solver directly in the computational graph of the M3N. This resulted in a large computational graph.
As can be seen in this figure, this naive workflow requires backpropagating the M3N errors through the entire Neural Net and solver. This is very expansive, and also unnecessary...
A more efficient approach
I recently revisited the definition of the computational graph. One can see that in the M3N, there is no need to backpropagate through the variables \( x_{opt}^k \). Let's first introduce: $$ \overline{MRF}^k (x_{opt}^k ; \tau) = \underset{x^k}{\min} {MRF}^k (x^k ; \tau) - \Delta(x_{gt}^k, x^k) $$ We can now simplify the M3N optimization problem as: $$ \begin{align} & \underset{\tau}{\text{minimize}} & & R(\tau) + \sum_k MRF^k (x_{gt}^k ; \tau) - \overline{MRF}^k (x_{opt}^k ; \tau) \end{align} $$
Here is what its associated the computational graph looks like for k=1:
We can observe that \(x^k_{opt}\) is only an input of the computational graph. Hence, we can use any algorithm/implementation for computing: $$ x_{opt}^k = \underset{x^k}{argmin} ~\overline{MRF}^k (x^k ; \tau) $$ Hence, the idea is to alternate between two steps:
- Estimating \( (x^k_{opt})_k \) with a fast non differentiable algorithm (red arrow in previous figure).
- Update the parameters \( \tau \) using the backpropagation (green arrows in previous figure).
Implementation
Thanks to the wonderful library Pytorch, we can model easily this new M3N formulation as a differentiable computational graph. In details we model as a Pytorch module the computation of the energies of \(MRF^k (x_{gt}^k ; \tau) \) and \(\overline{MRF}^k (x_{opt}^k ; \tau) \) along with the regularization cost of \( R(\tau) \).
The variable $x_{opt}$ is only an input of the M3N Pytorch model. One can use a non differentiable algorithm to estimate $x_{opt}$. I used Bruno Conejo's C++ PhD implementation wrapped for Python of Nikos Komodakis' FastPD algorithm.
A few results
Here is the loss of the network for 20 epochs, on the whole KITTI stereo dataset: The optimization of the network parameters does converge nicely. For the whole Middlebury 2001 dataset, 10 epochs and 6 pairs of \(432 \times 381 \) images, the experiment takes about 6 minutes (as opposed to a few hours with the previous approach) to run (with CUDA, GTX 1080 Ti, 2 CPU workers).
Here are some results on the Middlebury 2001 dataset:
The results are also quite satisfying, considering that our scorer is very simple. In a following blog post, I will explore how this approach performs with a Neural Network for the scorer instead of this similarity function.
You can find the code in its whole here.
You can leave comments down here, or contact me through the contact form of this blog if you have questions or remarks on this post!


{% extends "master.html" %} {% block title %}Welcome{% endblock %} {% block content %}
This tool provides an easy way to find all the genes from the tomato genome annotation related to a specific pathway.
For any given pathway name, it will look at what are the pathway available containing this name and provide a link to the page containing the list of genes related to this pathway.
Example: Search for carotenoid carotenoid
{% endblock %}


--- layout: page title: "process" description: "Start to finish." header-img: "img/process-bg.jpg" ---
We'll start by sending you a sample intake kit. This will be a convenient way for you to collect a small fecal sample from your lovely cat. You will deposit this sample in a sample collection tube and mail it to our sample intake center. There, the sample will be processed with other samples, preparing the input samples to be sequenced (i.e. for the DNA to be read). The result of this process ("library preparation") is a DNA sequencing "library".
After preparing the sequencing libraries, we will perform ultra-high-throughput microbial community analysis using the Illumina MiSeq platform. Bacterial taxa present in the samples will be identified by sequencing the V4 hypervariable region of 16S rRNA.
Sequencing will be performed with minor modifications following the protocols of the Earth Microbiome Project. DNA will be extracted from samples using the MoBio PowerFecal Kit (Carlsbad, CA) with bead beating. DNA concentrations will be standardized across all samples for PCR enrichment and library preparation. After verifying amplification, amplicons will be cleaned with magnetic beads and quantified using a Qubit Fluorometer (Invitrogen, NY), and pooled in equimolar concentrations for sequencing. The resulting libraries will be sequenced in one Illumina MiSeq lane (paired-end 250 base pair sequencing) according to standard protocols.
Bacterial species will be identified using the Quantitative Insights in Microbial Ecology (QIIME) and Mothur. We will assess differences in microbiome diversity using various nonparametric multivariate methods in R. Results will be presented in an interactive website that we are developing for this project.


Welcome
Welcome to crypto-toolkit!
Warning! This toolkit is to be used as a demonstration, NOT as a tool for actual encryption!
License
The MIT License (MIT)
Copyright (c) 2015 Mariusz Skoneczko
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
 IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Caesar cipher
The Caesar cipher is a simple substitution cipher which, as the name suggests, was used by Julius Caesar.
Message:
Key: (number)
Output:
Output
Vigenere cipher
If the Caesar cipher was considered one-dimensional, the Vigenere cipher is two-dimensional. It was put into practice by Blaise de Vigenere.
Message:
Key: (letters)
Output:
Output
RSA
RSA was invented by Ron Rivest, Adi Shamir and Leonard Adleman. It is the most commonly used public-key cryptosystem as of this writing.
Key generation
Starting at to the power of get the next prime. Based off that, get another prime starting at the product of the prime and
Public key (share!):
Private key (keep secret!)
Encryption/Decryption
Message:
Public key:
Private key:
Result
Diffie-Hellman key exchange
The Diffie-Hellman was one of the first solutions to the problem of key exchange. It allows two parties to agree on a key over an insecure channel.
Public prime and base
Use RFC3526 standard:
Private key
Your private key must be a number between 1 and 2(bits - 1)
Generate public key
Make sure that the steps above are complete, and then press the button below.
Agree on final key
Send the public key to the other person. Get them to give you their public key.
Now you can arrive at the same key!
This key can now be used for symmetric key algorithms.
This is a basic Caesar cipher cracker that shows all possible results from a given ciphertext. Fill in the textbox with the ciphertext, and press the crack button to see all possible plaintext messages.
Output


P.regularStampSynchronousActions = function () {
let {artefact, trace, stampAction, showHitRadius, hitRadius, hitRadiusColor, currentStampPosition} = this;
let host = this.currentHost;
trace.set({
position: currentStampPosition,
});
trace.manageHistory(0, host);
stampAction.call(this, artefact, trace, host);
if (showHitRadius) {
let engine = host.engine;
engine.save();
engine.lineWidth = 1;
engine.strokeStyle = hitRadiusColor;
engine.setTransform(1, 0, 0, 1, 0, 0);
engine.beginPath();
engine.arc(currentStampPosition[0], currentStampPosition[1], hitRadius, 0, Math.PI * 2);
engine.stroke();
engine.restore();
}
};


Abstract
This document is a brief guide to the glossaries package for beginners who find the size of the main user manual daunting and, as such, it only covers the basics. For more advanced topics, see the main user manual.
You need to have the glossaries package installed. You also need to have the following packages installed: ifthen, xkeyval (at least version 2.5f), xfor and amsgen. You may also need longtable, supertabular and array, depending on what glossary style you want to use. All these packages can be downloaded from CTAN if you don’t have them installed. See “Installing things on a (La)TeX System” for further assistance.
In addition, you need an indexing application. The glossaries package is configured to use either makeindex or xindy. Makeindex should be available on all TEX systems. It’s possible you may not have xindy installed, but it can be downloaded from the xindy home page. The glossaries package provides a helper Perl script called makeglossaries which will act as an interface to makeindex or xindy. If you want to use makeglossaries, you need to have Perl installed, but you can use makeindex or xindy directly if you prefer.
The most obvious things to do is to remember to load the glossaries package:
Note that the glossaries package must be loaded after the hyperref package (contrary to the general advice that hyperref should be loaded last). The glossaries package should also be loaded after html, inputenc, babel and ngerman.
If you want to use xindy rather than makeindex to sort the glossaries, you need to specify this in the package options:
Other package options are described in Package Options in the main glossaries user manual.
Next, you need to enable the creation of the various external files that are required by the indexing application. This is done using:
You must define terms or symbols before you can use them in the document. This is best done in the preamble. Each term is defined using:
where ⟨label⟩ is a unique label used to identify the term. The second argument, ⟨settings⟩, is a key=value comma separated list that is used to set the required information for the term. A full list of available keys can be found in Defining Glossary Entries in the main glossaries user manual. The principle keys are name and description.
For example, to define the term “electrolyte”:
In the above example, the label and the name happen to be the same. In the next example, the name contains a ligature but the label doesn’t:
In this case the label is oesophagus. Note that in this case, the plural has to be specified using the plural key since it isn’t formed by simply appending the letter “s”.
When you define terms, it is important to remember that they will be sorted by an external application that doesn’t interpret LATEX commands. Xindy is a little more TEX-aware than makeindex, but for this example they will both mis-sort \oe sophagus. Xindy will ignore the \oe␣ part and will sort it according to sophagus, so it will be placed with the terms starting with an “s”. Makeindex, on the other hand, will sort it according to \oe␣sophagus which starts with a symbol (the backslash), so it will end up in the symbol group. You therefore need to specify how to sort the term:
Note, however, that if you use the inputenc package and xindy, you can use the encoded character œ rather than \oe and xindy will sort it correctly:
If the name starts with an accented character, the first character must be grouped:
or
The name can also be a symbol, but you will also need to specify the sort key. For example:
It’s also possible to have a name and a symbol. For example:
Note, however, that not all glossary styles display the symbol in the glossary.
Once you have defined a term, you can use it in the document. The glossaries package provides a number of commands that are described in Links to Glossary Entries in the main glossaries user manual. Here, I shall just cover the main commands:
This prints the term associated with ⟨label⟩. Using the example in the previous section, \gls{oesophagus} will display œsophagus. If the hyperref package has also been loaded, the term will also be hyperlinked to the relevant entry in the glossary.
This prints the plural of the term associated with ⟨label⟩, so \glspl{oesophagus} will display œsophagi. Again, the text will be a hyperlink to the relevant entry in the glossary, if hyperlinks are defined.
There are also versions that convert the first character to upper case if you need to start a sentence with a term:
and
For example:
Note that these commands all have two optional arguments that aren’t discussed here, but they are described in Links to Glossary Entries in the main glossaries user manual.
Caveat: don’t use these commands in moving arguments, such as those used by \chapter, \section and \caption. You can, instead, use commands such as
See Using Glossary Terms Without Links in the main glossaries user manual.
The glossaries package also allows you to define acronyms. By default, acronyms will be added to the main glossary, but if you use the acronym package option, acronyms will be placed in a separate list of acronyms:
There are other options that govern how acronyms appear. For further details, see Acronyms in the main glossaries user manual.
Acronyms must be defined before use and are defined using:
where ⟨label⟩ is the label identifying the acronym, ⟨abbrv⟩ is the abbreviated form and ⟨full⟩ is the fully expanded text. For example:
Once the acronym is defined, it can be used in the same way as any other glossary term with commands such as \gls and \glspl. On first use, the default will display ⟨full⟩ (⟨abbrv⟩). On subsequent use, only the abbreviation will appear. For example:
If this is the first time this term has been used, the above would produce:
A support vector machine (svm) was implemented.
A svm was implemented.
or you can reset all acronyms using
For further details on resetting and unsetting acronyms, see Unsetting and Resetting Entry Flags in the main glossaries user manual.
In order to display the sorted list of terms, you first need to use
at the place where you want the glossary and list of acronyms to appear. Note that \printglossaries won’t produce any text the first time you create your document, as an external indexing application needs to be used to sort and collate the entries. Creating the completed document is therefore at least a three step process.
Suppose your document is called myDoc.tex, then you need to:
in a terminal or command prompt. If you are using a front-end (such as WinEdt or TeXnicCenter) and you want it to automatically run makeglossaries when you build your document, you will need to consult the front-end’s documentation.
If you don’t have Perl installed, you will need to call makeindex or xindy explicitly. This is more complicated and is described in Generating the Associated Glossary Files in the main glossaries user manual.
Note that sometimes you may have to repeat steps 2 and 3.
The appearance of the glossary depends on the glossary style in use. The default style uses the description environment, but there are many other styles available. These are described in Glossary Styles in the main glossaries user manual. By default, a number or list of numbers will appear after each entry in the glossary. This indicates the page (or pages) on which the term was used. This list can be suppressed using the nonumberlist package option:
Further information can be found in the main glossaries user manual and there is also an article on the glossaries package on the LATEX Community’s Know How section.


About Us
Spectrum is a tool in which teachers are shown short videos of social interactions that commonly happen in the classroom settings. After viewing each video teachers will have to answer questions about the videos they watch.
Mission
Innovative teacher training introduces a new set of demanding challenges and issues. Teaching has become a very complex and demanding process. Teachers with little exposure to digital media and with little preparation with digital media may face difficulties in dealing with the complexity of classroom teacing. These new teachers may often find the demands of the classroom too challenging and quckily become discourages or adopt a simplisitc view of teaching where 'Tricks & Trade' serve as a substitute for thoughtful process.


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const | OK = 0 |
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const | UNKNOWN_QUEUE = 1 |
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const | TRANSIENT_ERROR = 2 |
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const | INTERNAL_ERROR = 3 |
| |
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const | TASK_TOO_LARGE = 4 |
| |
|
const | INVALID_TASK_NAME = 5 |
| |
|
const | INVALID_QUEUE_NAME = 6 |
| |
|
const | INVALID_URL = 7 |
| |
|
const | INVALID_QUEUE_RATE = 8 |
| |
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const | PERMISSION_DENIED = 9 |
| |
|
const | TASK_ALREADY_EXISTS = 10 |
| |
|
const | TOMBSTONED_TASK = 11 |
| |
|
const | INVALID_ETA = 12 |
| |
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const | INVALID_REQUEST = 13 |
| |
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const | UNKNOWN_TASK = 14 |
| |
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const | TOMBSTONED_QUEUE = 15 |
| |
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const | DUPLICATE_TASK_NAME = 16 |
| |
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const | SKIPPED = 17 |
| |
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const | TOO_MANY_TASKS = 18 |
| |
|
const | INVALID_PAYLOAD = 19 |
| |
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const | INVALID_RETRY_PARAMETERS = 20 |
| |
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const | INVALID_QUEUE_MODE = 21 |
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const | ACL_LOOKUP_ERROR = 22 |
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const | TRANSACTIONAL_REQUEST_TOO_LARGE = 23 |
| |
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const | INCORRECT_CREATOR_NAME = 24 |
| |
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const | TASK_LEASE_EXPIRED = 25 |
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const | QUEUE_PAUSED = 26 |
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const | INVALID_TAG = 27 |
| |
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const | DATASTORE_ERROR = 10000 |
| |
The documentation for this class was generated from the following file:
- code/googleappengine-read-only/python/php/sdk/google/appengine/api/taskqueue/taskqueue_service_pb.php


Tacoma, Washington
Brown & Haley Factory Store
This century-old confectioner's outlet store was plucked right out of the Seattle World's Fair.
Founded in 1912, Brown & Haley is a candy company best known for making Almond Roca. The buttercrunch treat, coated in chocolate and crushed almonds, is sold worldwide in its trademark gold-foil wrappers and pink tins. Fans looking to pay their respects at the company’s headquarters, located in an industrial area of Tacoma, should keep an eye out for two things: the company’s vintage pink sign and its unusual outlet store.
The round pavilion that houses the store was originally part of the 1962 Seattle World’s Fair. It was even used as Elvis Presley’s “green room” during the on-site filming of It Happened at the World’s Fair. After the fair ended, Brown & Haley purchased the structure and had it moved to Tacoma, where it’s stayed ever since.
The store offers samples of Brown & Haley’s candies, including Almond Roca and Mountain Bars. They also sell “factory seconds,” treats deemed unsuitable for retail packaging because of mistakes, such as two pieces bonded together or broken. With the erroneous candies marked at an average one-third of the retail price, most customers happily overlook a few imperfections.
Know Before You Go
The factory and outlet store are located in an industrial area. There is on-street parking available but be aware of heavy truck traffic. When planning a trip, make sure you're heading to Tacoma, as there's another Brown & Haley outlet store in Fife.
Atlas Obscura Experiences
Bee Medicine: Oils, Salves and Balms
Seattle, Washington
$60 per person
Community Discussion
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forum Visit our forums.


This exchange works fast and rewards you well. See the final step for more about extra rewards...
Two Factor Authentication is strongly advised-- it makes your accounts much safer.
Choose 'Funds', then 'Deposits'.
Binance calls currencies 'coins' on this screen. Just enter what you have, like Bitcoin or Ethereum.
Now you have a deposit wallet.
Use the 'Copy Address' button and enter this into Coinbase or wherever your currency is sitting. In several minutes the blockchains with be done rattling and you will have fresh assets on Binance.
Choose 'Exchange > Advanced' for best options.
On top you choose the exchange you want.
Maybe it's buying NEO using ETHereum?
Where you exchange currencies.
You can use the 25%, 50%, 100% buttons to see how much you can get in the exchange.
Confirm amount looks good, click 'Buy' and you're done!
Choose 'Funds', then 'Transaction History' and you can see the exchanges are happening across the two blockchains. Binance requires several exchanges for security.
Choose 'Funds', then 'Balances' after a few minutes, to confirm the Exchange is all done. Congratulations, you've traded across blockchains and are way up to speed for The Future!
Binance Bonus: hold NEO for long enough and Binance will reward you with GAS, the currency that fuels NEO apps.  Yet it seems legit!


Salty Dog Radio Request a Song
Song Name:
Artist Name:
Message (not required):
Post It! →
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Error
Sorry there was an error sending your form.


Created by y3ll0wlife and layout inspired by alangueite
Author (AUTHORNAME) | Using this will get all the tickets with that AUTHORNAME for example Author Dabbit to get the tickets from reporter Dabbit


{% extends 'sso/base.html' %} {% block inner_content %}
If you think you should have access or need to sign up to a DIT system then complete the form below:


Here at Haemoglobin Towers there is much whirring and clanking as the finishing touches are put to your favourite book of the year, the annual Hooting Yard paperback. The publication of this mighty tome is imminent, imminent I tell you!
Meanwhile, never resting on our laurels, and determined always to extend our global reach, possibly into extraterrestrial zones, the thought occurred to present one of the new and gorgeous Hooting Yard lapel accoutrements to a living luminary. This lucky luminary could then act as our ambassador when hobnobbing with the great and good and with that Fry person. But upon which luminary should we bestow this signal honour? Readers, you decide!
[This poll has now closed.]


{% extends "site_base.html" %} {# include person's name first *before* site title for clarity in search engine results, etc #} {% block page-title %}{% firstof esd.directory_name author.userprofile.get_full_name author.username %} - {{ block.super }} | Profile{% endblock %} {% block style %}{{ block.super }} {% endblock style %} {% block scripts %}{{ block.super }} {% endblock %} {% block contentdivclass %}faculty profile{% endblock %} {% block sidebar %}{% endblock %}{# no sidebar content for now #} {% block content %} {% with author.userprofile.esd_data as esd %}
No grants could be found
{% endif %}Version: Post-Print
#}
{# Type: cd
#}
{# Status: In Repository & Public Domain
#}
{#
JOURNAL OF CIVIL RIGHTS ADMINISTRATION | Volume 118, Issue 9, July 17, 2003, Pages 454-999.
#} {##} {# #} {# 10,123 Item Views#} {# |#} {# #} {# 5,456 Downloads
#} {#Version: Post-Print
#}
{# Type: PDF
#}
{# Status: In Repository & Public Domain
#}
{#
JOURNAL OF CIVIL RIGHTS ADMINISTRATION | Volume 118, Issue 9, July 17, 2003, Pages 454-999.
#} {##} {# #} {# 10,123 Item Views#} {# |#} {# #} {# 5,456 Downloads
#} {#


Beginner
$29
per month
- 30GB Storage
- 10 Email Addresses
- 5 Domains
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Intermediate
$39
per month
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- 10 Email Addresses
- 15 Domains
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Advanced
$49
per month
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- 20 Email Addresses
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Premium
$99
per month
- 150GB Storage
- 20 Email Addresses
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Beginner
$29
per month
- 30GB Storage
-
15 Email Addresses
- 5 Domains
- First-Class Support
Intermediate
$39
per month
- 75GB Storage
- 25 Email Addresses
- 15 Domains
- First-Class Support
- Site Builder
Advanced
$49
per month
- 100GB Storage
- 50 Email Addresses
- 25 Domains
- First-Class Support


A python script was used to retrieve albums of filtered images for training from Flickr. This directly utilized the Flickr API for the acquisition process. Images are the loaded by set for OpenCV processing.
Images acquired are various sizes and aspect ratios. As the primary analysis is undertaken utilizing HSV values, it was determined that formatting all images to be a uniform aspect ratio and size took precedence over preserving aspect ratio. Images are downsized to 250x250 from their current sizes and aspect ratios.
Following formatting, images are then converted from BGR colorspace to HSV. Following much experimentation with histogram feature extraction, we found excellent accuracy could be achieved more quickly by isolating hue and saturation values for the images and computing means.
After extensively experimenting with SVM models for learning, we established they were not ideal for the dataset and results attempting to be achieved. In the end, supplying a KNN with hue and saturation means proved to be an effective identifier of both the presence and signature of the filters tested.
In progress. For the full test and subsequent likability analysis, an initial KNN is utilized in a first pass to determine the presence of any detectable filter we are considering. The subsequent layer is the current filter identification model. Successful identifications may then be paired with logged 'like' values from Flickr to determine the most popular or effective filters.


Stefanos Tsitsipas overpowers Alexander Zverev to reach ATP semis
LONDON – Debutant Stefanos Tsitsipas crushed defending champion Alexander Zverev 6-3, 6-2 on Wednesday to book his place in the last four of the ATP Finals with a match to spare.
The 21-year-old, the first Greek player to qualify for the elite eight-man season-ending tournament, backed up his opening round-robin win over Daniil Medvedev with another virtuoso performance at O2 Arena.
His emphatic victory secured a top-two place in the group and left Zverev, world No. 1 Rafael Nadal and Medvedev scrapping to join him in Saturday’s semifinals.
A year ago, Tsitsipas was winning the NextGen title in Milan — the ATP’s showcase event for up-and-coming players — and in his two matches so far in London he has bolstered the impression that he has the game to start collecting Grand Slam titles.
His swashbuckling all-court game, with a booming serve, aggressive groundstrokes, deft volleys and silky movement have made him an instant crowd favorite at O2 Arena.
All those weapons were on display against Zverev in what was the youngest, in terms of combined age, match at the ATP Finals since Andy Murray played Juan Martin del Potro in 2009.
Zverev’s last three matches here were straight sets victories over Roger Federer, Novak Djokovic and Nadal — a trio with 55 Grand Slam titles between them.
But the form of Monday’s group-stage win over Nadal deserted him as Tsitsipas, with whom he is said to have a frosty relationship, beat him for the fourth time in five matches.
Tsitsipas broke in the eighth game when Zverev opted to follow in a weak second serve and made a mess of a low volley.
From that point on, it was one-way traffic.
Zverev’s level tailed off alarmingly in the second set and Tsitsipas wrapped things up with an ace.
Tsitsipas later revealed he had needed a pain-killing injection in a foot injury.
Yet despite having already reached the semis, he will not take his foot off the gas against Nadal on Friday when he could knock the Spaniard out.
“I’m going to give it my all. I’m going to try to give my soul, and I think it’s also a very good challenge for me in order to prepare for more difficult matches in the semifinals,” he said. “It’s going to educate me, and I’m going to try to get and absorb as much as I can from that.”
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Create a new session
After generating a secure session, please keep the private key files named Session_#######_private_key.pem and Session_#######_password.txt. All secured data will be lost if the private key is lost. Also, you will not be able to manage the session if you loose the password or session key. Do not share your private key. Click on "Go To Live Data Page", enter the password, then generate and email links to the participants. You can generate more links later. Once the data is collected from the participants, with your private key, continue to the next step.


Bloodhound aims to be world's fastest car in South Africa
by The Associated PressJOHANNESBURG -- An earthbound jet known as the Bloodhound became one of the world's 10 fastest cars this week, on target for its goal to set a new land speed record.
The Grafton LSR company announced the development in a news release this week. Spokesman Jules Tipler says Bloodhound's next goal is to reach 885 kilometres per hour, possibly in the coming week. Powered by a Rolls-Royce EJ200 jet engine, the car hurtles so fast across the salt pan track that a twin parachute is needed to stop it.
Over the next year, the car aims to break the world land speed record of 1,228 kph. That record was set in 1997.
Ultimately, Bloodhound's jet engine will be boosted by a rocket engine with an aim to safely reach 1,610 kph (1,000 mph).


Code dạo
View the Project on GitHub vungocthien/vungocthien.github.io
If you think you’ve found a bug in the Minimal theme, please check the existing issues, and if no one has reported the problem, open a new issue.
If you have a general question about the theme, how to implement it, or how to customize it for your site you have two options:
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--- layout: post title: no title date: '2016-08-21T23:50:30+02:00' categories: - Storyboards - Sketches picture_url: https://film-Storyboards.tumblr.com/post/149306492331 ---


NXT Takeover: War Games 2019: 3 Botches and mistakes you missed during the show
by Phillipa MarieNXT Takeover, actually took over Survivor Series this weekend in Rosemont, Chicago and they have definitely set the tone for what could be the best weekend of the year. WarGames made history with the first-ever women's version of the match, even though the match itself was quite controversial it was another notch for WWE to add to the on-going Women's Revolution.
It was a night that also saw Kevin Owens make his return to NXT for the first time since his tenure as the Champion of the brand when he returned as a face and helped Tommaso Ciampa to defeat Undisputed Era and stake his claim for a rematch for the NXT Championship.
It was a night that will be remembered for several years, but whilst there were many things to remember there were also several moments to forget.
#3 Roderick managed to recover well
Roderick Strong was part of an impressive War Games match alongside the rest of Undisputed Era as they collided with Tommaso Ciampa, Keith Lee and Dominik Dijakovic with Kevin Owens only being revealed as the fourth member of Ciampa's team on the night.
This meant that The Undisputed Era were at a disadvantage heading into the match and with Ciampa's team consisting of several bigger guys, it made sense that there were a lot of spots where Undisputed Era was thrown across the ring.
One of these instances came when Dijakovic and Ciampa threw Strong across the ring and he was supposed to go over both top ropes and take out his team but he lowered down to go through the middle rope and wasn't able to take out his team so they bumped the move anyway.
1 / 3 NEXT


[gecode-users] order in calls to status and commit...
Sébastien Mouthuy
smouthuy at gmail.com
Tue May 29 10:51:25 CEST 2007
Le mardi 29 mai 2007 à 11:35 +0200, Christian Schulte a écrit :
> Hi,
>
> I am not so sure that creating branchings in the commit function of another
> branching actually works. As Guido said, we never anticipated this scenario.
> As I have some more time at the end of the week, I'll have a look.
>
> Can you send as a very small program that shows the problem?
the version I have now is not that small. I will try to write some
simple CSP and branching that post each other in order to reproduce the
problem.
>
> Also, which search engine did you use? DFS or BAB?
BAB.
>
> How did you post the branchings? Via the post function or by using the
> constructor? If the constructor, I hope you did not use the constructor
> reserved for cloning.
I use the post function.
>
> Also, there might be a completely different way how to use multiple
> branchings that create each other: have a single "master" branching that
> controls the other branchings. But that would require quite some heavy
> setup.
yes. That's right.
I have another question: posting propagators in the commit function of
one Branching is acceptable ? The fact is that I would like to delay a
heavy propagator taht does not do a lot of pruning high in the search
tree, but is very useful down in the tree.
>
Thanks for your help.
sebastien
> Cheers
> Christian
>
> --
> Christian Schulte, http://www.imit.kth.se/~schulte/
>
> -----Original Message-----
> From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
> Of Sébastien Mouthuy
> Sent: Tuesday, May 29, 2007 12:44 AM
> To: Guido Tack
> Cc: users at gecode.org
> Subject: Re: [gecode-users] order in calls to status and commit...
>
>
>
> I found a related problem that seems annoying.
>
> I have one main branching, let's say BrSF. In the commit function of BrSF, I
> sometimes post another branching, say BrCl.
>
> I printed id's of these branching and it happens that an instance of BrSF
> has the same id as BrCl. I'm not using recomputation: c_d = 1, a_d = 10000.
>
> The problem then is that the search engine calls the commit function of the
> BrSF with a description returned by an instance of BrCL. and this is very
> annoying :). It is perhaps this same problem that leads to the NoBranching
> exception when using recomputation.
>
> any idea ? It would be very useful for me. Thank you.
>
> seb
>
> Le lundi 28 mai 2007 à 20:46 +0200, Guido Tack a écrit :
> > Sébastien Mouthuy wrote:
> >
> >
> > > Could that be the problem ? Should B1 and B2 be two copies of a
> > > comman instance of the branching ? I know descriptions and
> > > branchings use id's.
> > > could it be the problem ?
> >
> >
> > Hm, it shouldn't be the problem. If the branchings are always created
> > in the same order, the ids will be the same. Could you verify this?
> > Just print the id in the Branching constructor, and check that it's
> > the same no matter whether you use recomputation or not.
> >
> >
> > The one thing we do not support is creating a branching in a
> > propagator. This won't work because propagation order can be different
> > during recomputation, so the creation order of the branchings would be
> > different and the ids would not match.
> >
> >
> > Cheers,
> > Guido
> >
> > --
> > Guido Tack
> > Programming Systems Lab, Saarland University, Germany
> > http://www.ps.uni-sb.de/~tack
> >
> >
> >
> >
> >
>
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org https://www.gecode.org/mailman/listinfo/gecode-users
>
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A FEW GOOD MEN A film review by Ken Johnson Copyright 1993 Ken Johnson
142 min., R, Drama, 1992 Director: Rob Reiner Cast: Jack Nicholson, Tom Cruise, Demi Moore, Kevin Bacon, Kevin Pollak, James Marshall, J. T. Walsh, Kiefer Sutherland, Christopher Guest, Xander Berkeley
Two Marines are accused of killing another Marine in their platoon. They are represented by Navy lawyer Tom Cruise and by Demi Moore. Cruise and Moore want to prove that the Marines didn't kill the man on purpose, but were just following orders given by their commanding officer, Jack Nicholson.
A FEW GOOD MEN is an excellent film, and I suggest that you don't miss it. I enjoyed every minute of it. On a scale of zero to five, I give A FEW GOOD MEN a five. A FEW GOOD MEN is rated R for explicit language and violence.
The cast for this film is exceptional. I expect to see some Academy Award nominations for the cast (among other categories) for this film. Jack Nicholson (HOFFA, THE SHINING) stands out above the rest of the cast. His performance is the best that I have ever seen him give. I think that Jack Nicholson gives a much better performance in this film than in HOFFA, so if you can only see one of his current films I suggest this one. Tom Cruise (RAIN MAN, RISKY BUSINESS) gives an excellent performance. His character is completely believable. Demi Moore (GHOST [1990], ABOUT LAST NIGHT..., BLAME IT ON RIO) is perfect. I don't think that she could have done any better with her character. Kevin Bacon (FLATLINERS, PLANES TRAINS & AUTOMOBILES) is great. Kiefer Sutherland (1969, TWIN PEAKS: FIRE WALK WITH ME) also is outstanding.
The director, Rob Reiner (THE PRINCESS BRIDE, STAND BY ME), does an excellent job. He has created a near perfect, if not perfect, film. The writing for this film is great. I was entranced for every minute of this film. This film is far better than the other court film out, BODY OF EVIDENCE.
The locations used for this film are great. They set the film perfectly. The characters are well built so that they are all three dimensional. They are characters that I found myself liking or hating. They also can bring emotion from the audience watching the film. I could probably go on forever talking about all the great aspects of this film so I will stop here before I end up boring you. Definitely go out and see this film as soon as possible.
-------- Ken Johnson<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Happy Birthday
Happy Independents day my love
A happy Independents day to all the family
You're all I want for Independents day
Get well soon
Filter Independent day


Documentation
FUNCTION is a unary function that gets called for all instances of
the specified class. Unindexed classes (i.e. classes for which the
:indexed class option is nil) will be skipped.
If ID-ONLY is T (default is NIL), the function will be called with
object ids instead of 'real' objects. This can be handy if you want to
do more filtering before actually loading objects from disk.
INCLUDE-SUBCLASSES defaults to T.
Source
(defgeneric rucksack-map-class (rucksack class function
&key id-only include-subclasses)
(:documentation
" FUNCTION is a unary function that gets called for all instances of
the specified class. Unindexed classes (i.e. classes for which the
:indexed class option is nil) will be skipped.
If ID-ONLY is T (default is NIL), the function will be called with
object ids instead of 'real' objects. This can be handy if you want to
do more filtering before actually loading objects from disk.
INCLUDE-SUBCLASSES defaults to T."))
Source Context


MasterDetail component allows to group contents into levels (sections) and saves page space.
Smart and flexible navigation between levels via built-in breadcrumbs or command components gives a neat and stylish interface for users.
Each level in the flow is represented with a MasterDetailLevel component.
Switching between levels occurs by means of SelectDetailLevel handler and is based on AJAX, that means each level is loaded dynamically by AJAX.
SelectDetailLevel can be attached to any ajaxified PrimeFaces and non PrimeFaces component.
Such typically components are CommandLink, CommandButton, MenuItem, RemoteCommand, HotKey and any other components with attached f:ajax / p:ajax.
This approach gives a flexible and powerful capability to control partial validation and to call action / actionListener during navigation.
Area to be updated during navigation between levels is set automatically to the MasterDetail component - no needs to specify
it explicitly. But of course, processed and updated areas can be controlled more precise by "process" / "update" attributes.
Partial validation can be e.g. skipped by setting process="@none" or immediate="true".
Partial validation in case of the navigation via breadcrumbs is always skipped automatically.
Other features are a server-side listener invoking when a navigation attempt takes place, "header", "footer" facets and more.
Attention: You have to reference the pe:masterDetail in the "update" attribute of command components
manually if you have any auto updatable components, such as p:growl or p:message with p:autoUpdate, on the page.
Known limitation: MasterDetail component doesn't work inside of data iteration components
extending UIData, e.g. inside of DataTable. More precise: the navigation will not work when pe:masterDetail
is placed within a data iteration component.


|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV NEXT | FRAMES NO FRAMES |
| Packages that use javax.accessibility | |
|---|---|
| java.applet | Provides the classes necessary to create an applet and the classes an applet uses to communicate with its applet context. |
| java.awt | Contains all of the classes for creating user interfaces and for painting graphics and images. |
| javax.accessibility | Defines a contract between user-interface components and an assistive technology that provides access to those components. |
| javax.swing | Provides a set of "lightweight" (all-Java language) components that, to the maximum degree possible, work the same on all platforms. |
| javax.swing.colorchooser | Contains classes and interfaces used by the JColorChooser
component. |
| javax.swing.plaf | Provides one interface and many abstract classes that Swing uses to provide its pluggable look-and-feel capabilities. |
| javax.swing.plaf.basic | Provides user interface objects built according to the Basic look and feel. |
| javax.swing.plaf.metal | Provides user interface objects built according to the Java look and feel (once codenamed Metal), which is the default look and feel. |
| javax.swing.plaf.multi | Provides user interface objects that combine two or more look and feels. |
| javax.swing.table | Provides classes and interfaces for dealing with
javax.swing.JTable . |
| javax.swing.text | Provides classes and interfaces that deal with editable and noneditable text components. |
| javax.swing.text.html | Provides the class HTMLEditorKit and supporting classes
for creating HTML text editors. |
| javax.swing.tree | Provides classes and interfaces for dealing with
javax.swing.JTree . |
| Classes in javax.accessibility used by java.applet | |
|---|---|
| Accessible
Interface Accessible is the main interface for the accessibility package. |
|
| AccessibleComponent
The AccessibleComponent interface should be supported by any object that is rendered on the screen. |
|
| AccessibleContext
AccessibleContext represents the minimum information all accessible objects return. |
|
| AccessibleRole
Class AccessibleRole determines the role of a component. |
|
| AccessibleStateSet
Class AccessibleStateSet determines a component's state set. |
| Classes in javax.accessibility used by java.awt | |
|---|---|
| Accessible
Interface Accessible is the main interface for the accessibility package. |
|
| AccessibleAction
The AccessibleAction interface should be supported by any object that can perform one or more actions. |
|
| AccessibleComponent
The AccessibleComponent interface should be supported by any object that is rendered on the screen. |
|
| AccessibleContext
AccessibleContext represents the minimum information all accessible objects return. |
|
| AccessibleRole
Class AccessibleRole determines the role of a component. |
|
| AccessibleSelection
This AccessibleSelection interface provides the standard mechanism for an assistive technology to determine what the current selected children are, as well as modify the selection set. |
|
| AccessibleStateSet
Class AccessibleStateSet determines a component's state set. |
|
| AccessibleText
The AccessibleText interface should be implemented by all classes that present textual information on the display. |
|
| AccessibleValue
The AccessibleValue interface should be supported by any object that supports a numerical value (e.g., a scroll bar). |
| Classes in javax.accessibility used by javax.accessibility | |
|---|---|
| Accessible
Interface Accessible is the main interface for the accessibility package. |
|
| AccessibleAction
The AccessibleAction interface should be supported by any object that can perform one or more actions. |
|
| AccessibleBundle
Base class used to maintain a strongly typed enumeration. |
|
| AccessibleComponent
The AccessibleComponent interface should be supported by any object that is rendered on the screen. |
|
| AccessibleContext
AccessibleContext represents the minimum information all accessible objects return. |
|
| AccessibleEditableText
The AccessibleEditableText interface should be implemented by all classes that present editable textual information on the display. |
|
| AccessibleHyperlink
Encapsulation of a link, or set of links (e.g. |
|
| AccessibleIcon
The AccessibleIcon interface should be supported by any object that has an associated icon (e.g., buttons). |
|
| AccessibleKeyBinding
The AccessibleKeyBinding interface should be supported by any object that has a keyboard bindings such as a keyboard mnemonic and/or keyboard shortcut which can be used to select the object. |
|
| AccessibleRelation
Class AccessibleRelation describes a relation between the object that implements the AccessibleRelation and one or more other objects. |
|
| AccessibleRelationSet
Class AccessibleRelationSet determines a component's relation set. |
|
| AccessibleRole
Class AccessibleRole determines the role of a component. |
|
| AccessibleSelection
This AccessibleSelection interface provides the standard mechanism for an assistive technology to determine what the current selected children are, as well as modify the selection set. |
|
| AccessibleState
Class AccessibleState describes a component's particular state. |
|
| AccessibleStateSet
Class AccessibleStateSet determines a component's state set. |
|
| AccessibleTable
Class AccessibleTable describes a user-interface component that presents data in a two-dimensional table format. |
|
| AccessibleText
The AccessibleText interface should be implemented by all classes that present textual information on the display. |
|
| AccessibleTextSequence
Information about a contiguous sequence of text. |
|
| AccessibleValue
The AccessibleValue interface should be supported by any object that supports a numerical value (e.g., a scroll bar). |
| Classes in javax.accessibility used by javax.swing | |
|---|---|
| Accessible
Interface Accessible is the main interface for the accessibility package. |
|
| AccessibleAction
The AccessibleAction interface should be supported by any object that can perform one or more actions. |
|
| AccessibleComponent
The AccessibleComponent interface should be supported by any object that is rendered on the screen. |
|
| AccessibleContext
AccessibleContext represents the minimum information all accessible objects return. |
|
| AccessibleEditableText
The AccessibleEditableText interface should be implemented by all classes that present editable textual information on the display. |
|
| AccessibleExtendedComponent
The AccessibleExtendedComponent interface should be supported by any object that is rendered on the screen. |
|
| AccessibleExtendedTable
Class AccessibleExtendedTable provides extended information about a user-interface component that presents data in a two-dimensional table format. |
|
| AccessibleHyperlink
Encapsulation of a link, or set of links (e.g. |
|
| AccessibleHypertext
The AccessibleHypertext class is the base class for all classes that present hypertext information on the display. |
|
| AccessibleIcon
The AccessibleIcon interface should be supported by any object that has an associated icon (e.g., buttons). |
|
| AccessibleKeyBinding
The AccessibleKeyBinding interface should be supported by any object that has a keyboard bindings such as a keyboard mnemonic and/or keyboard shortcut which can be used to select the object. |
|
| AccessibleRelationSet
Class AccessibleRelationSet determines a component's relation set. |
|
| AccessibleRole
Class AccessibleRole determines the role of a component. |
|
| AccessibleSelection
This AccessibleSelection interface provides the standard mechanism for an assistive technology to determine what the current selected children are, as well as modify the selection set. |
|
| AccessibleStateSet
Class AccessibleStateSet determines a component's state set. |
|
| AccessibleTable
Class AccessibleTable describes a user-interface component that presents data in a two-dimensional table format. |
|
| AccessibleTableModelChange
The AccessibleTableModelChange interface describes a change to the table model. |
|
| AccessibleText
The AccessibleText interface should be implemented by all classes that present textual information on the display. |
|
| AccessibleValue
The AccessibleValue interface should be supported by any object that supports a numerical value (e.g., a scroll bar). |
| Classes in javax.accessibility used by javax.swing.colorchooser | |
|---|---|
| Accessible
Interface Accessible is the main interface for the accessibility package. |
| Classes in javax.accessibility used by javax.swing.plaf | |
|---|---|
| Accessible
Interface Accessible is the main interface for the accessibility package. |
| Classes in javax.accessibility used by javax.swing.plaf.basic | |
|---|---|
| Accessible
Interface Accessible is the main interface for the accessibility package. |
|
| AccessibleContext
AccessibleContext represents the minimum information all accessible objects return. |
| Classes in javax.accessibility used by javax.swing.plaf.metal | |
|---|---|
| Accessible
Interface Accessible is the main interface for the accessibility package. |
| Classes in javax.accessibility used by javax.swing.plaf.multi | |
|---|---|
| Accessible
Interface Accessible is the main interface for the accessibility package. |
| Classes in javax.accessibility used by javax.swing.table | |
|---|---|
| Accessible
Interface Accessible is the main interface for the accessibility package. |
|
| AccessibleAction
The AccessibleAction interface should be supported by any object that can perform one or more actions. |
|
| AccessibleComponent
The AccessibleComponent interface should be supported by any object that is rendered on the screen. |
|
| AccessibleContext
AccessibleContext represents the minimum information all accessible objects return. |
|
| AccessibleExtendedComponent
The AccessibleExtendedComponent interface should be supported by any object that is rendered on the screen. |
|
| AccessibleRole
Class AccessibleRole determines the role of a component. |
|
| AccessibleSelection
This AccessibleSelection interface provides the standard mechanism for an assistive technology to determine what the current selected children are, as well as modify the selection set. |
|
| AccessibleStateSet
Class AccessibleStateSet determines a component's state set. |
|
| AccessibleText
The AccessibleText interface should be implemented by all classes that present textual information on the display. |
|
| AccessibleValue
The AccessibleValue interface should be supported by any object that supports a numerical value (e.g., a scroll bar). |
| Classes in javax.accessibility used by javax.swing.text | |
|---|---|
| Accessible
Interface Accessible is the main interface for the accessibility package. |
|
| AccessibleAction
The AccessibleAction interface should be supported by any object that can perform one or more actions. |
|
| AccessibleComponent
The AccessibleComponent interface should be supported by any object that is rendered on the screen. |
|
| AccessibleContext
AccessibleContext represents the minimum information all accessible objects return. |
|
| AccessibleEditableText
The AccessibleEditableText interface should be implemented by all classes that present editable textual information on the display. |
|
| AccessibleExtendedComponent
The AccessibleExtendedComponent interface should be supported by any object that is rendered on the screen. |
|
| AccessibleRole
Class AccessibleRole determines the role of a component. |
|
| AccessibleStateSet
Class AccessibleStateSet determines a component's state set. |
|
| AccessibleText
The AccessibleText interface should be implemented by all classes that present textual information on the display. |
| Classes in javax.accessibility used by javax.swing.text.html | |
|---|---|
| Accessible
Interface Accessible is the main interface for the accessibility package. |
|
| AccessibleContext
AccessibleContext represents the minimum information all accessible objects return. |
| Classes in javax.accessibility used by javax.swing.tree | |
|---|---|
| Accessible
Interface Accessible is the main interface for the accessibility package. |
|
JavaTM 2 Platform Standard Ed. 5.0 |
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| PREV NEXT | FRAMES NO FRAMES |
Copyright © 2004, 2010 Oracle and/or its affiliates. All rights reserved. Use is subject to license terms. Also see the documentation redistribution policy.


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$19.45
{% block body %} {% endblock %}


Across: 7. Beg using plate (cup is broken) (10) SUPPLICANT Begging cup spilt - an awful mess 8. Finishes point on purpose (4) 10. Family takes aim, starts to tell son they'll launch a lawsuit (9) 11. 20 which saw 18 of 27 21 gives a variable passage (5) 13. One icon ran amok, involving charges (5) 14. Elements that rose giving a variable resistance (8) / those art / the art so / the roast / store hat / 15. Platonic tertiary magma flow (5) 17. Mystic I summon, bringing back notes (5) Psychic is umpiring - sometimes facing wrong way, but "in tune" 20. In 28, sub-district leaders of union prefer arming God-forsaken lizard-monster (8) 22,27. Oddly, sloth feels real near to the villain of 11 1 18 (5 4) 24. Celebrations of loud 17 (5) 25. I place rim carefully on the basis of experience (9) 27. see 22 28. Country hit by boy (he's dancing) (10) Down: 1,18. Ace's poll disaster (8 8) soap cell / ace polls 2. Potion given a little stir - it's not really necessary (6) 3. Organise cannily, fail with regard to money (11) 4. see 19 5. Ms Arthur befuddled 26 (3) 6. Falls back into suffering as lepers suffered (8) 9. Leader of defiant war dance in capital (5) 12. With scraper miss, I bled (allowed to be shown?) (11) 16. Me, blue? Lacking energy? Ask about dancing! (8) 18. see 1 19,4. Where gentry farm coat manufactured? (7 7) 21. Plan A: turn North at the square (5) 23. Moved or hid a system of locks (6) 26. Mr Lincoln confused 5 (3)


Welcome to PISAnalysisTool’s documentation!¶
Analyzing PISA and World Bank Educational Data¶
Background¶
Equity is a fundamental value and guiding principle for education policies, but it is not necessarily equally fulfilled among education systems around the world. In order to investigate educational equity in the difference of academic performance between gender groups, females and males, we collect international education data from PISA and World Bank.
PISA is an international assessment of 15-year-old students’ capabilities in reading literacy, mathematics literacy, and science literacy as well as measuring a wider range of factors including students’ interest, attitudes and motivation. It is distributed across over 60 countries, and student background questionnaires and teacher questionnaires are collected as part of PISA assessment. Student scores vary greatly for different student subpopulations within a jurisdiction – e.g., gender. Analysis plan ^^^^^^^^^^^^^ In the current package, it linked different sub-datasets in PISA: student, school, and country level data. The analysis is specifically focused on describing and explaining gender differences in students’ performances scores across countries. We compare different multi-level mixed-effect models and visualize the summary plots.
The next step is to identify and visualize countries that have “equitable” schooling outcomes and their characteristics in education systems, including student and school culture, teacher educational practices, and societal factors. That said, we caution against simplistic international comparisons of country performances using correlates of higher performance in higher ranking countries for projecting causal generalizations and statements.
Installation¶
PISAnalysisTool
for its first version 0.1.0 is only compatible with Python 3. The installation steps are as below:
Option 1¶
Install PISAnalysisTool
through: pip install PISAnalysisTool
Option 2¶
1. For the git approach to install PISAnalysisTool
you will need to begin by
cloning PISAnalysisTool repository on your own computer by using the following git
command:
git clone https://github.com/nixiwang/PISAnalysisTool
2. Next, to install the package you will need to go into the PISAnalysisTool
directory and run the setup.py
file:
cd PISAnalysisTool/ python setup.py install
- To ensure that the dependencies to run
PISAnalysisTool
are installed on
your computer you will want to both import the conda environment (for one of the R package) and pip installed components:
Create an environment from an exported env: ``bash conda env create -f environment.yml `` also you will run pip install the following command `` pip install -r requirements.txt ``
You should now be ready to use, run pisa_analysis_tool
as the package name, run example code, and
import the package on your computer.
Examples (How to use PISAnalysisTool)¶
To understand how to use PISAnalysisTool, please refer to the [examples](https://github.com/nixiwang/PISAnalysisTool/tree/master/Examples ) section of this GitHub page where you can find examples for doing the following:
- How to generate .csv file from .sav file for PISA 2015 data
- How to generate a list of interested variables along with ID info to a
csv data file for PISA data, including a demo on interactive PISA data generation, auto-scraping a small set of data for analysis - A demo on generating World Bank data - Cleaning the scraped data for the example - How to generate multi-level models and visualize model summaries - A demo on interactive model formula generation, for users to create model on their own - Creating visualizations with the merged dataset on this example
User cases¶
More specific user cases can be found in [function specifications doc.](https://github.com/nixiwang/PISAnalysisTool/blob/master/doc/Updated%20function%20specification/Function%20specification.md)
Visualization¶
Figure 1: PISA Score World Distribution ![Image1](https://github.com/nixiwang/PISAnalysisTool/blob/master/Examples/Female_avg_score_country.PNG)
Figure 2: World Bank Gender Parity Indicator Distribution ![Image1](https://github.com/nixiwang/PISAnalysisTool/blob/master/Examples/gender_coeff.PNG)
Figure 3: Average Scores Comparison for Male and Female Students ![Image1](https://github.com/nixiwang/PISAnalysisTool/blob/master/Examples/male%20and%20female%20score%20difference.PNG)
Limitations¶
In its current form, the PISAnalysisTool package serves as a very efficient data scraping and examplar analysis tool, but not with customizable model estimation functioning, though the users directly use pymer4 library as it is installed in our package, and call Lmer function directly by passing the model paramter, which can be get using our formula generator tool. The package also does not support ad hoc interactive visualization nor longitudinal analysis but can create an analysis report for gender differences on students’ performance for a given time frame.


bored so i thought i would ask what you guys are interested in! could be anything. A hobby, a skill, movies you like, etc.
I like to play basketball and do triathlons during the summer. trying to learn IOS development at the moment as a side thing. I also stream on twitch occasionally.
"Oh yes, there will be blood"
I like to play basketball and do triathlons during the summer. trying to learn IOS development at the moment as a side thing. I also stream on twitch occasionally.
"Oh yes, there will be blood"


Man charged with murder after father found slain
EAST WINDSOR, Conn. (AP) - A 40-year-old Connecticut man has been charged in the death of his father.
The Hartford Courant reports that Gabriel Hesse, of East Windsor, was arrested at his Main Street home Friday evening and charged with murder. He is being held on $2 million bond. It was not immediately clear if he has obtained an attorney.
Hesse is accused of killing his 73-year-old father, Halsey Hesse, who was found dead Oct. 9 in the kitchen of his East Windsor home. A family member discovered his body after failing to reach him by phone for several days.
TOP STORIES
Michael Moore has 'no prayers' for 'strangely frightened' America after Santa Clarita shooting
Nancy Pelosi goes for slam dunk -- and crashes to court
Justice Department clears Trump of wrongdoing on Ukraine call
Police said he had been stabbed multiple times. His death was ruled a homicide.
Gabriel Hesse is scheduled to be arraigned Monday in Enfield Superior Court.
Information from: Hartford Courant, http://www.courant.com
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Please read our comment policy before commenting.


GUI.SetSliderMinMax
Syntax
GUI.SetSliderMinMax (widgetID, min, max : int)
Description
Sets the minimum and maximum values of the slider or scroll bar specified by widgetID. The min parameter specifies the new minimum value of the slider or scroll bar. The max parameter specifies the new maximum value of the slider or scroll bar. The max parameter must be greater than the min parameter.
GUI.SetSliderMinMax redraws the thumb to take into account the new minimum and maximum. If the current value of the slider is outside the new minimum/maximum, then the value is adjusted appropriately.
Example
See GUI.SetScrollAmount for an example of GUI.SetSliderMinMax.
Status
Exported qualified.
This means that you can only call the function by calling GUI.SetSliderMinMax, not by calling SetSliderMinMax.
See also
GUI.CreateHorizontalScrollBar, GUI.CreateVerticalScrollBar, GUI.CreateHorizontalSlider, and GUI.CreateVerticalSlider.


Machine Learning A-Z
Posted on Fri 28 April 2017 in Data-Science
Where's the Machine?
Lets start by looking at machine learning examples and application to get a broad picture of what we're going to discuss in the article.
- Facebook Image Tagging and Facial Recognition.
- Nintendo - Kinect Sports uses Random Forest
- Virtual Reality
- Speech-to-Text
- Robot Dogs - Reinforcement Learning
- Facebook Advertisements
- Amazon, Audible recommender systems
- Medical systems
- Space Machine Learning
- Expore unknown territories like Mars
The Future
Why is Machine learning the future?
1 letter takes 1 byte of data. A page takes roughly 1KB of data. A 500 double-sided page notebook would take 1MB. 1GB = fits the Human Genome ~ about 725 MB of space. 80 years, filmed with an HD camera and you can fit the data in 1TB.
Since the dawn of time till 2005, humans have created 130 Exabytes of data.
2010 - 1200 Exabytes 2015 - 7900 Exabytes 2020 - 40900 Exabytes (estimated)
Source : IDC's Digital Universe Study, Dec 2012
Data is growing exponentially.
To use the data that is generated, we need to use Machine Learning algorithms since all the data needs to be examined and utilized.
Data Pre-processing
Data pre-processing is an essential step in Machine Learning.


--- title: "Amel" type: "author" layout: default permalink: "/author/ameliawijayanti" author: "amel" image: "/assets/images/amel2.jpg" vector: "/assets/images/vector2.gif" --- {% assign amel = site.data.authors[page.author] %}
{{ amel.site }}
{{ amel.bio }}


Console JS
Common
Device
User
Pause
Clear
Reload
Ping
Send
Remote Client List
Connection Info
Toggle
×
Configure
Body


Dreams is a free PSD web template built by Mathavan Jaya. Dreams is a modern one page web template designed for almost any purpose. It’s a beautiful template that’s designed with the Bootstrap framework in mind.
You can download the PSD template in this portfolio sample item at FreebiesXpress.com.
Progressive Field
Cleveland, Ohio
Dreams is a free PSD web template built by Mathavan Jaya. Dreams is a modern one page web template designed for almost any purpose. It’s a beautiful template that’s designed with the Bootstrap framework in mind.
You can download the PSD template in this portfolio sample item at FreebiesXpress.com.
Comercia Park
Detroit, Michigan
Dreams is a free PSD web template built by Mathavan Jaya. Dreams is a modern one page web template designed for almost any purpose. It’s a beautiful template that’s designed with the Bootstrap framework in mind.
You can download the PSD template in this portfolio sample item at FreebiesXpress.com.
Kauffman Stadium
Kansas City, Missouri
Dreams is a free PSD web template built by Mathavan Jaya. Dreams is a modern one page web template designed for almost any purpose. It’s a beautiful template that’s designed with the Bootstrap framework in mind.
You can download the PSD template in this portfolio sample item at FreebiesXpress.com.
Target Field
Minneapolis, Minnesota
Dreams is a free PSD web template built by Mathavan Jaya. Dreams is a modern one page web template designed for almost any purpose. It’s a beautiful template that’s designed with the Bootstrap framework in mind.
You can download the PSD template in this portfolio sample item at FreebiesXpress.com.


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{% extends "fluent_blogs/entry_contents_base.html" %} {% load i18n fluent_blogs_tags %}{% comment %} This is a base template for an item in the archive. It extends from a shared template so it can display the same content in both the archive and detail pages. However, this is not required. You can completely replace this template and leave the extends out. To shorten the contents in the archive, use: {% block entry-body-contents %}{{ object.html_content|truncatewords_html:100|safe }}{% endblock %} or provide an excerpt_text field in the model (e.g. via ExcerptTextEntryMixin). {% endcomment %} {% block entry-body %} {% if object.excerpt_text %} {% comment %} This code only exists to show something reasonable out of the box when you included the ExcerptTextEntryMixin or ExcerptImageEntryMixin. Feel free to completely redefine this template in your site {% endcomment %}
{% else %} {{ block.super }} {% endif %} {% endblock %} {% block entry-footer-contents %} {{ block.super }} {# Archive typically gives short summary, whereas the details page displays the full set of comments #} {% endblock %}


🧮 🇸🇪 Matematik.js
Mathematical helpers for JavaScript in browser or node.
This list is growing and pretty much just helps suit my needs. If I find myself in need of another similar function, I'll add to it. If you'd like to add something to it, please do via pull request.
I would like to solve many of these mathematical dilemmas myself as I am learning, rather than simply pull in packages that others have made.
Learn more at github. Pull requests welcome, index of functions here.
Copied!


This page was created to show what I'm working on and learning at the moment, as well as to tell you a little bit about myself


{% extends 'base.html' %} {% block header %}
Tired of the same old routine or you need a less stressful workout just create a new one, or have two or three. You can have power workout on some days and calisthenics on other days.
First time and you really don't know what to do or how to prepare, we got you covered with over 100 of the best workouts in any field that you want to give a try.
Ready for a change-up you can save all your different types of workouts without missing a step, anytime day or night just change it with one click.


Basalt
/
basalt.server
/
ErrorResponses
/
VOLUME_OUT_OF_BOUNDS
VOLUME_OUT_OF_BOUNDS
VOLUME_OUT_OF_BOUNDS
Returned if an attempt was made to set the volume to below 0 or above 1000.


| Vendor Name | Altis Human Resources (Ottawa) Inc |
|---|---|
| Reference Number | W6381-17-0003 |
| Contract Date | 29-4-2016 |
| Description of Work | Business Services |
| Delivery Date | 31-5-2017 |
| Contract Value | $65,277.45 |
| Comments | This contract was competitively sourced. This contract is a call-up against a Public Services and Procurement Canada procurement tool. |
| Additional Comments | The Department of National Defence requires one (1) Information / Records Management / Recordkeeping Specialist, Junior, to provide high level customer service to the Materiel Group users in the Technical Resource Center. The resource must provide a capa |


These are examples of what *can* be done, not necessarily what *should* be done!
this is pretty awful


WITNESS LIST Environmental Regulation Committee March 25, 1997-2:00P HB 645 For: McClendon, Rep. Ruth (herself) Taylor, Rev. Lemelle (SACEEJ) Taylor, Rev. Nathaniel (SACEEJ) Against: Miksa, Mary (TABCC) Registering, but not testifying: For: Fields, Leslie (Sierra Club) Kibby, Sandy (Texas PTA) Against: Fisher, Scott (TPMCSA) Rigsbee, Ken (Phillips Petroleum) HB 1213 For: Solomons, Rep. Burt (himself) Against: Fisher, Jon (Texas Chemical Council) Miksa, Mary (TABCC) On: Williams, Barry (TNRCC) Registering, but not testifying: For: James, Reggie (Consumers Union) HB 1304 For: Compton, David (himself) Hamric, Rep. Peggy (herself) Sisk, Cathy (Harris County) Against: Miksa, Mary (TABCC) On: Williams, Barry (TNRCC) Registering, but not testifying: For: Anderson, Dwayne (Clean Water Action) Fields, Leslie (Sierra Club) Kibby, Sandy (Texas PTA) Smith, Tom "Smitty" (Public Citizen) HB 1367 For: Kelly, Mary (Tx Ctr for Policy Study) On: Riley, John (TNRCC) HB 1581 For: James, Reggie (Consumers Union) Kelly, Mary (Tx Ctr for Policy Study) Against: Fisher, Jon (Texas Chemical Council) Martin, Thomas E. (ASARCO Incorp.) On: Feldcamp, Larry (Houston-Galveston AERCO) Riley, John (TNRCC) Registering, but not testifying: For: Anderson, Dwayne (Clean Water Action) Fields, Leslie (Sierra Club) Marsden, Julia (League of Women Voters) Smith, Tom "Smitty" (Public Citizen) HB 1759 On: Vaughn, Key (Tx. Dept. of Health) HB 1936 For: Durrett, Bob (himself) Sikes, Nancy (City of Balch Springs) Tillery, Rep. Dale (himself) Against: Fisher, Jon (Texas Chemical Council) Registering, but not testifying: For: Anderson, Dwayne (Clean Water Action) Kibby, Sandy (Texas PTA) Smith, Tom "Smitty" (Public Citizen) Against: Miksa, Mary (TABCC) HB 2164 For: Gregory, Bob (NSWMA -- Tx. Chapter) Against: Giblin, Pam (USA Waste) Kramer, Ken (Sierra Club) Lewis, Matthew C. (Waste Mgmt., Inc.) Rivette, Charles (Browining-Ferris Ind.) Sisk, Cathy (Harris Co. Attys Ofc.) Williams, Charles E. (USA Waste Svcs.)  Cattle Feeders Assn) Against: Henry, Stuart N. (himself) Kelly, Mary (Tx Ctr for Policy Study) Kramer, Ken (Sierra Club) Marsden, Julia M. (League of Women Voters) Sisk, Cathy (Harris Co Attys Ofc) Williams, John E. (Nat. Audobon Society) On: Marquez, Ralph (TNRCC) HB 2585 For: Deavenport, Bob (SPEC) Gregory, Bob (NSWMA -- Tx. Chapter) Against: Giblin, Pam (USA Waste) Kramer, Ken (Sierra Club) Lewis, Matthew C. (Waste Management, Inc.) Rivette, Charles (Browning-Ferris Ind.) Williams, Charles E. (USA Waste Services) On: Williams, Barry (TNRCC) Registering, but not testifying: Against: Anozie, Emmanuel Sonny (Browning-Ferris Ind.) HB 2648 For: Compton, David (himself) Hamric, Rep. Peggy (herself) Sisk, Cathy (Harris County) On: Miksa, Mary (TABCC) Williams, Barry (TNRCC) Registering, but not testifying: For: Anderson, Dwayne (Clean Water Action) HB 2992 For: Addington, Bill (SSB/SBLDF) Boren, Richard (Southwest Toxic Watch) Brisbin Jr., Jake (Presidio County) Chavez, Jose Luis R. (City of Juarez) Chavez, Rep. Norma (herself) Curry, Susan (herself) Frederick, David (SBLDF) Gallego, Rep. Pete (himself) Geyer, Bob (SBLDF) Gordon, Norman (City of El Paso) Mendez, Maria H. (herself) Rogers, Erin (SBLDF) Serna, Rep. Gilbert (himself) Todd, Teresa (Presidio County) Torrez, Clara (Congreso de Chihuaha) On: Jacobi, Rick (TLLRWDA) Matthews, Lee (TLLRWDA) Mendez, Manuel O. (TLLRWDA) Ratliff, Richard, P.E. (Tx. Dept. of Health) Registering, but not testifying: For: Anderson, Dwayne (Clean Water Action) Austin, Daniel (Congressman Reyes) Casitllo, Gloria (herself) Escobar, Bonnie (El Paso Community) Fields, Leslie (Sierra Club) Gutierrez Jr., Hector (City of El Paso) Limon, Maria S. (Chihuaha, Mexico) Mendez, Margarita (herself) Olak, Gary (himself) Rodriguez, Jose R. (El Paso County) Simpson, Richard (himself) Smith, Tom "Smitty" (Public Citizen) HB 3070 For: Compton, David (himself) Hamric, Rep. Peggy (herself) Sisk, Cathy (Harris County) Against: Fisher, Jon (Texas Chemical Council) Miksa, Mary (TABCC) On: Williams, Barry (TNRCC) Registering, but not testifying: For: Anderson, Dwayne (Clean Water Action)


The core-image requires the src attribute where the argument should be a valid link to an image of choice. The core-image requires the src attribute where the argument should be a valid link to an image of choice. The core-image can use the fit attribute where it changes how the image will load. You have the choice between "fill", "contain", "cover", "none", and "scale-down".
The core-image can display loading content before the image is loaded. This depends on a div tag inside the core-image tag, where it should include the slot attribute with the argument "placeholder". Within this div tag, you can put any content you want for your placeholders.
The core-image can error handle if the image is not valid. This depends on a div tag inside the core-image tag, where it should include the slot attribute with the argument "error". Within this div tag, you can put any content you want for your placeholders.
The core-image has a lazy attribute where it can load the image as the user approaches them. For this you simple include the lazy attribute in core-image.


Analyze person's twitter profile and you will know what he prefers to read. Maybe he reads a lot of IT-related profiles?
Overview candidate subscriptions to popular IT-related resources.
Explore technologies and languages that candidate is interested in. Explore graphics and charts to understand what are the fields which person wants to learn mostly


Displaying Loan Records
| S/N |
User ID |
Loan ID |
Date Started |
Payment |
Tenor |
Status |
|
| 1 |
010 |
tydl0p3xj3 |
23-04-2019 |
N12,000 |
8 months |
Not Repaid |
|
| 2 |
010 |
tydl0p3xj3 |
23-04-2019 |
N12,000 |
8 months |
Repaid |
|
| 3 |
010 |
tydl0p3xj3 |
23-04-2019 |
N12,000 |
8 months |
Not Repaid |
|
| 4 |
010 |
tydl0p3xj3 |
23-04-2019 |
N12,000 |
8 months |
Not Repaid |
|
| 5 |
010 |
tydl0p3xj3 |
23-04-2019 |
N12,000 |
8 months |
Repaid |
|
| S/N |
User ID |
Loan ID |
Date Started |
Payment |
Tenor |
|
| 1 |
010 |
tydl0p3xj3 |
23-04-2019 |
N12,000 |
8 months |
|
| 2 |
010 |
tydl0p3xj3 |
23-04-2019 |
N12,000 |
8 months |
|
| 3 |
010 |
tydl0p3xj3 |
23-04-2019 |
N12,000 |
8 months |
|
| 4 |
010 |
tydl0p3xj3 |
23-04-2019 |
N12,000 |
8 months |
|
| 5 |
010 |
tydl0p3xj3 |
23-04-2019 |
N12,000 |
8 months |
|
| S/N |
User ID |
Loan ID |
Date Started |
Payment |
Tenor |
|
| 1 |
012 |
tydl0p3xj3 |
23-04-2019 |
N12,000 |
8 months |
|
| 2 |
012 |
tydl0p3xj3 |
23-04-2019 |
N12,000 |
8 months |
|
| 3 |
013 |
tydl0p3xj3 |
23-04-2019 |
N12,000 |
8 months |
|
| 4 |
013 |
tydl0p3xj3 |
23-04-2019 |
N12,000 |
8 months |
|
| 5 |
010 |
tydl0p3xj3 |
23-04-2019 |
N12,000 |
8 months |
|
| S/N |
User ID |
Loan ID |
Date Created |
Tenor |
Amount |
Installment |
|
| 1 |
012 |
tydl0p3xj3 |
23-04-2019 |
12 months |
N100,000 |
10,500 |
|
| User email |
Created On |
Tenor |
Amount |
Installment |
Balance |
Interest |
Status |


Bushfires rage across Australia's east and west as danger rises
MELBOURNE: Dozens of wild fires burned across broad swaths of Australia's east and west on Saturday (Nov 16) and firefighters scrambled to shore up defences ahead of hotter weather and stronger winds expected to bring more danger in the coming days.
Temperatures of above 40 degrees Celsius were forecast for parts of Western Australia on Sunday before spreading east next week and worsening conditions in New South Wales (NSW) and Queensland, two states already stricken by devastating bushfires.
Australia's bushfire are a common and deadly threat but the early outbreak this year in the southern spring has already claimed several lives and destroyed more than 300 homes over the past week.
READ: Australia braces for heavy winds, lightning amid bushfire threat
Severe fire danger conditions are expected to continue in NSW on Sunday where about 60 bush and grass fires are still burning, according to NSW Rural Fire Service.
Firefighters strengthened containment lines by back burning around the Gospers Mountain fire, which is blazing across more than 112,000 acres near Sydney's northwest outskirts, but the fire is yet to be contained. Back burns are fires deliberately lit to clear dry undergrowth.
More homes are expected to be lost.
READ: Lack of forecast rains to prolong Australian bushfires threat
"Even if we bring in an extra 1,000 firefighters, we still don't have enough trucks and firefighters for every single home in New South Wales," NSW Rural Fire Service Inspector Ben Shepherd told Sky News.
Most national parks on the mid-to-north coast of the state, including in the northern Blue Mountains will remain closed until further notice as fire danger remains very high to severe, NSW Office of Environment and Heritage said on Twitter.
NSW Police said in a statement that a 51-year-old man has been charged after allegedly lighting a fire which is now out of control in the state's Northern Tablelands.
Police alleged that "the man lit the fire as an attempt to back burn for the protection of a cannabis crop and perceived benefit from recovery work after the fire and made no attempt to control the blaze," they said in a statement.
In New South Wales, four people have died and 303 homes have been destroyed since Nov 9.
READ: Death toll in Australia bushfires rises to four
READ: 'Too late to leave': Australians take shelter from intense bushfires
This year's early bushfire season in the country is expected to be long and brutal as a three-year drought has left broad swathes of Australia's east and west more susceptible to fire.
In Queensland, there were several major fires on Saturday still of concern and gusty winds were expected on Sunday, worsening conditions after 16 homes were destroyed in the past week.
"Most of the state will experience high and very high conditions this weekend," Queensland Fire and Emergency Services said on Twitter. "Keep on keeping on - we'll get through this together."


{% extends "layout.html" %} {% block page_title %} Example - Forms {% endblock %} {% block content %} {% include "includes/breadcrumb_v0_2.html" %} Data entry Explanatory content. 2008 to 2009 £ 2009 to 2010 £ 2010 to 2011 £ 2011 to 2012 £ 2012 to 2013 £ 2013 to 2014 £ 2014 to 2015 £ 6 April 2015 until 8 July 2016 £ {% if withdrawal == "Yes" %} Leftover £ {% endif %} 9 July 2015 to 6 April 2016 £ {% if withdrawal == "Yes" %} Leftover £ {% endif %} 2016 to 2017 £ 2017 to 2018 £ {% endblock %}
Explanatory content.


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RoBO needs the following dependencies to be installed for it’s core functionality.
Additionally RoBO has some optional dependencies that are only needed for specific modules:
Note: RoBO works only with Python3. Python2 is not supported anymore.
RoBO uses the Gaussian processes library george and the random forests library pyrfr. In order to use this library make sure the libeigen and swig are installed:
sudo apt-get install libeigen3-dev swig gfortran
Download RoBO and then change into the new directory:
git clone https://github.com/automl/RoBO
cd RoBO/
Before you install RoBO you have to install the required dependencies. We use a for loop because we want to preserve the installation order of the list of dependencies in the requirments file.
for req in $(cat requirements.txt); do pip install $req; done
This will install the basis requirements that you need to run RoBO’s core functionality. If you want to make use of the full functionality (for instance Bohamiann, Fabolas, …) you can install all necessary dependencies by:
for req in $(cat all_requirements.txt); do pip install $req; done
Note: This may take a while to install all dependencies.
Finally you can install RoBO by:
python setup.py install


Preparation time
over 2 hours
Cooking time
10 to 30 mins
Serves
Serves 8
Got people you really want to impress? This stunning dessert will do the trick.
For this recipe you will need 8 panna cotta moulds and a freestanding mixer with a dough hook.
For the panna cotta, put the double cream into a small pan with the vanilla pod and seeds, bring to the boil and then remove from the heat. Add the drained, squeezed gelatine and whisk to dissolve.
Set aside to cool, then add the buttermilk and whisk to combine. Remove the vanilla pod and carefully pour the mixture into 8 panna cotta moulds, making sure the vanilla seeds are distributed evenly. Place in the fridge for 4 hours.
For the orange jelly, heat the Sauternes and sugar in a saucepan until the sugar has dissolved. Add the drained, squeezed gelatine and heat until it has dissolved, don’t whisk too much as you don’t want bubbles.
Remove from the heat and leave to cool for 5 minutes before adding the orange juice. Stir to combine and then pass through a fine sieve into a jug.
Oil a shallow baking tray and line with cling film and pour the mixture into the tray. Place in the fridge to set for at least 2 hours.
For the doughnuts, warm the milk gently in a saucepan. Mix the flour, sugar, salt and yeast in a freestanding mixer. Add the warm milk and egg and mix to a sticky dough. Using a dough hook, knead for about 5 minutes until smooth and elastic.
With the mixer running, gradually add the softened butter a little at a time kneading in between each addition. This will take about 10 minutes.
Flour a work surface and turn out the dough. Continue to knead until smooth, shiny and no longer sticky. Place the dough in a large bowl, cover and leave in a warm place to rise for 2 hours or until doubled in size.
Heat the oil in a deep fat fryer or a deep-sided, heavy bottomed pan to 190C, or until a breadcrumb sizzles and turns golden-brown when dropped into it. (CAUTION: hot oil can be dangerous. Do not over-fill the pan or leave unattended). Carefully lower the doughnuts into the fat and fry for 3-4 minutes until golden-brown. Drain on kitchen paper. Transfer to a plate and dust with caster sugar.
For the mascarpone cream, whisk the mascarpone, sugar, double cream and vanilla seeds together in a bowl.
Cut the jelly into 2½cm/1in squares. Briefly lower each panna cotta mould into warm water and turn out onto a plate.
Place 2 spoonfuls of the mascarpone cream on each plate and top with an orange jelly square. Place 2 doughnuts on each plate and scatter the orange segments and mint around the plate.


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Assessment
Get the Country level class assessment
Discussion
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Study Material
Syllabus-wise study material for different boards.


Research
Development of light-based combination treatments for microbial control on cheese surface
I am currently completing my Master’s thesis under the supervision of Dr. Carmen Moraru in the area of Food Safety Engineering. My work involves analyzing how different treatment conditions and process parameters influence the effectiveness of energy efficient non-thermal treatments such as Pulsed Light and LED blue light on cheese surface.
Of particular interest are questions such as:
* How do different microorganisms respond to light-based treatments?
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Does the presence of LDPE-packaging diminish the bactericidal effect of light?
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How does the substrate’s surface topography influence the effectiveness of different light treatments?
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Are hurdle strategies combining light treatments with natural antimicrobials more effective than light alone?
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How does light affect important physico-chemical quality attributes of cheese such as color, oxidative stability, vitamin content, and onset of molding?
In the course of this work I have used varied statistical methods to design my experiments and interpret my results, including multiple linear regression and survival analysis. I also trained, managed, and mentored 6 undergraduate research assistants individually and in teams.
Quantitative analysis of a commercial salt enhancer’s uptake by potatoes [pdf]
My undergraduate research thesis was done in partnership with Novotaste Inc. and consisted in developing an accurate, rapid, and affordable analytical method that could quantify how much of a salt enhancer’s was absorbed by potatoes.