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If you've been playing Eve for any length of time, you'll probably be familiar with racial damage types. Each of the four races has two damage types associated with it, a primary damage type and a secondary damage type; the primary damage type for Amarr for example is EM, with thermal as secondary. These tend to be the same as the NPC damage types of that race's primary opposing faction (e.g. Caldari racial damage types are the same as the Gurista damage types), and the general principle is that these will be the main damage types which that race will put out in combat. However, that's not necessarily true.
The big thing to consider is ammo choice - while both antimatter and iron hybrid charges might deal a mix of kinetic and thermal damage, the ratio between the two is quite different for each. Not only this, but we have to remember that there are only a very small number of ammo types which are regularly used in PVP; 99% of blaster ships will be using either antimatter or null, and a similar thing is true of other weapon systems.
Let's start with the simplest of the three. As the main weapons system of the Amarr, we'd expect energy weapons to put out primarily EM damage, with some thermal. This is correct - with the exception of radio crystals (which deal solely EM damage), all energy crystals deal a mix of EM and thermal damage. Two ammunition types (conflagration and gleam, the two close ranged t2 crystals) deal equal portions of EM and thermal, while for all other crystals EM forms the larger portion of their damage.
As you can see from the graph, the mix of thermal to EM varies with range - the closer ranged crystals deal equal or almost equal portions of each damage type, while the longer ranged options deliver a smaller proportion of thermal damage when compared to their EM component. The only major exception to this pattern is aurora - the crystal of choice for beam snipers - which deals over a third of its damage in thermal despite being the longest ammo choice available.
In PVP, the majority of pilots you encounter will be using navy multifrequency at close range (although conflag has increased slightly in popularity recently), and either scorch or aurora at long range depending on their weapon system. Since energy weapons can switch crystals instantly it's not uncommon for some pilots to also carry a few mid or long ranged faction crystals, especially snipers who want the option of a good long ranged crystal without the tracking penalty of aurora (if they're smart, this is the ammo they'll be using against approaching tacklers etc).
The general message here is that EM is indeed the most important damage type to be aware of when fighting energy weapons, but you shouldn't neglect your thermal resist, especially when fighting in close quarters. If either your EM or thermal resist is particularly strong, this may play into the decision between engaging up close and at range, particularly against pulse lasers (e.g. if you have a strong EM resist but weak thermal resist, forcing them to switch to scorch will reduce their damage output far more than the raw damage would suggest).
Hybrids are used by both Gallente and Caldari, so it's reasonable to expect a mix of thermal and kinetic damage to be their primary output. While both races make use of the guns, it's fair to say that for the Caldari they are very much a secondary concern whereas for the Gallente they form the race's main weapon system. Since the primary damage type for Gallente is thermal, this leads a lot of people to assume that hybrid weapons deal mainly thermal damage.
This is actually wrong! There are only two hybrid ammo types which deal more thermal damage than kinetic - null (long range t2 blaster ammo) and javelin (close range t2 rail ammo). Void (close range t2 blaster ammo) and spike (long range t2 rail ammo) are made up of even proportions of each, while every other hybrid charge deals primarily kinetic damage. Navy antimatter, by far the most used charge for blaster ships, deals around 60% of its damage output as kinetic.
Like energy weapons, the ratio of thermal decreases as range increases (at least for the t1/faction charges). However, this is fairly irrelevant for two reasons - firstly because the degree of variation is significantly less than with energy weapons, and secondly it's very rare for anyone to use the longer ranged (non-t2) ammo types (again, with the exception of snipers who will sometimes carry a mid/long range option for improved tracking). For the most part, the only variants that you'll regularly encounter are antimatter, null and spike.
So what does this mean for you as an opponent? Firstly, it means that your kinetic resist is going to be very important, especially against blaster ships. A lot of people will mistakenly base their survivability against a blaster ship on their thermal resist, which while important only covers about 40% of the incoming damage. Unlike energy weapons the degree of variation between ammo types is relatively small - even null or javelin deal only marginally more thermal than they do kinetic, so damage output is unlikely to have any bearing on your choice of engagement range.
Projectiles are the real wildcard when it comes to ammo types (even missiles tend to be more predictable due to the Caldari racial bonus to kinetic). The primary damage type for Minmatar is explosive with kinetic as secondary, however many of their ammunition choices do not follow this pattern (phased plasma for example has no explosive component at all)!
Short range, high damage ammo (emp, phased plasma and fusion). Essentially the same as antimatter charges and multifrequency crystals, but with a selection of damage types. These are by far the most common non-t2 ammo choices.
Medium range, high tracking ammo (titanium sabot and depleted uranium). These deal damage equivalent to lead and standard crystals, but come with a fairly substantial tracking bonus making them popular for snipers operating at mid range or attempting to defend against enemy tacklers. Some people also carry this ammo for use when already tackled by a target that they cannot hit.
Long range ammo (proton, nuclear and carbonized lead). These are effectively the same as iron charges and radio crystals - long ranged and with low damage. They see some use with snipers who want to avoid temors' tracking penalty.
The variety of damage types present in this range is wide - of all the non-t2 ammo choices, only fusion and nuclear follow the expected pattern of majority explosive damage with a smaller kinetic component. Titanium sabot and carbonized lead reverse that pattern by dealing mainly kinetic, emp and proton deal primarily EM damage, while phased plasma deals almost entirely thermal (depleted uranium can't decide, so it just deals a bit of everything aside from EM). So how the hell do we tank against it?
To simplify it a little, let's concentrate on the ammo types you're going to face most often - like both other weapon systems, that generally means close range ammo (emp, phased plasma and fusion) and long range t2 (barrage and tremor). The initial reaction (especially with the close range ammo) is probably to notice that none of these ammo types deal a majority of kinetic damage, making it difficult for projectiles to take advantage of a low kinetic resist. However barrage does almost half of its damage as kinetic so leaving a hole there is risky, especially if you plan to engage at range.
In the end, the most effective way to tank against projectile damage is to anticipate your opponent's damage selection. This is easier than you'd think - for example, if you're armour tanked then it's relatively likely that your opponent will load fusion if given the choice, so tanking explosive is the natural option. If you're a shield tanker (and particularly if you're a notoriously tough shield tanker like a drake), it's common for projectile ships to load EMP (this is despite the fact that most shield tankers already fit an anti-EM rig, making phased plasma actually a better choice). Similarly if you expect your opponent to kite, they will almost definitely be using barrage which means explosive and kinetic are order of the day.
Of course, often a fight will occur where your opponent has had no time to prepare and in these cases they're likely to engage with whatever damage type they already have loaded - the damage loss from a 10 second reload period might simply outweigh any benefit they would receive by changing. In these scenario's your guess is as good as mine, however thankfully Wensley (of Rifter Drifter fame) has a better guess than either of us - he actually took a poll of it (note that the colours don't match up as you'd expect, red is emp not phased plasma). The results are very interesting considering that phased plasma is actually more effective than emp against most of the targets. The only real explanation that I can think of is that prior to the projectile buff (which was over 2 years ago now), emp actually dealt more damage than either phased plasma or fusion and perhaps old habits die hard? Since this poll was taken about a year ago, it's possible that things have changed in the time since.
On a related note, Wensley also produced another article* analysing how different projectile ammo types perform against various resist profiles (including base resists with various common hardener combinations, as well as each race's t2 resists). I really recommend giving it a read if you fly projectile ships regularly, there's a great deal of useful information there.
* If you notice some similarity between that article and this one, you'd be correct - Wensley's article was the main inspiration for the graphs I've included above!
"Use EM for Shield tanks, and use Explosive for Armor tanks."
When flying minmatar I like to use Phased Plasma alot too. It's a nice choice if you're unsure of your opponents resists.
Of course I also "show info" on the ship as needed to check native resists.
Problem with that is people fill those holes up pretty well. For example my drakes highest resist is actually EM for that exact reason.
In my experience, EM is the only resist regularly filled on t1 ships. Shield tankers almost never fill thermal, and armour tankers fill explosive only occasionally and rarely kinetic.
For t2 ships, it's common to tank your lowest resist whatever it is, especially for gallente/caldari where the hole is noticeable. Amarr t2 armour tankers often tank their second lowest too.
I think it would be cool if someone did an analysis of like 1000 loss mails and found the best averaged out damage types. Then damage types for each ship type. etc.
When I was active in w-space, intel was the most important weapon in our arsenal (well it usually is, regardless of where). Lesser prepared gangs and people we ganked in anoms usually fell because they didn't have intel on us, whereas we had intel on them.
I used to overfill my kinetic hole whenver we'd be surprising some Drakes or Tengus running anoms, while usually loading thermal heavy ammo if possible since the standard fit for a Drake fills the EM hole but not thermal.
Likewise this one time we said hello to a small gang bashing a POS next door with Amarr BSes, and we either had only one or didn't have any logis, we went heavy on EM/therm resists.
I tend to cary RF Phased Plasma, RF Fusion and Barrage - enough for a couple of reloads and that typically covers just about anything.
Antimatter and Null are about the only things I see used, and I have not had near as much luck with Hybrids (even with the buff) when compaired to Projectile ships (but that is probaly me more than the weapon system).
The 5 second ammo change with Hybrid is nice, which Projectiles would get that buff.
@Abbadon21: the problem with looking at lossmails is that your sample is skewed.
So, looking at lossmails doesn't help you find the good fits; rather the opposite.
Do damage types normally associated as a weakness actually do increased damage, or is it just because of the naturally lower resist?
Put another way, does EM actually do more damage to shields than explosive if the resists are the same? Or are resists the only influence on how much damage is received?
No, it's just that shields have naturally low EM resist whereas the base EM resist on armour ir relatively high. If your resists were the same for both, the amount of damage you receive would be identical.

industry_corpus2: Gaming


text:
The picnic is only one indication of how Fall Creek pays attention to the needs of their residents. Dietary Supervisor Vernon Turner has an “Open Dining Program” which provides choices for residents at meal times. Vernon came to Fall Creek after 4 years as head pastry chef at the Anderson Country Club. “I love to help the elderly,” Vernon said. “My grandma has dementia and I understand the needs of our residents. It is important that I do all I can to make their lives easier and more fulfilling.” Vernon opens the dining hall at 8am and provides a full menu and continental breakfast bar until 11am. The breakfast changes over to a full menu lunch and dinner with a salad bar and a short order menu available until 6:30pm.
Fall Creek is always looking for ways to enrich your loved ones life. Fall Creek understands the needs of the senior community and our staff is dedicated to providing the lifestyle they deserve. For more information, call us at 765-778-2384. Or visit us at 625 East Water Street Pendleton, IN and schedule a visit.

industry_corpus2: Hospitality & Catering


text: Limit one per customer. Offer applies to new customers only. Based on availability. Cannot be combined with any other offers. Based on minimum storage rental of 3 months.


text: disKonnekt, the upcoming release from electro-industrial masters Decoded Feedback explores the themes of alienation and existential angst so prevalent in today's society. On their latest album, band members Yone Dudas and Marco Biagiotti delve into the complex relationship between man and machine, and consider how virtual environments can disconnect us from the real world. DF's trademark aggressive sound and atmospheric melodies remain front and centre on disKonnekt and have been further deepened by their recent European tours with Covenant. To be released in June 2012, disKonnekt is Decoded Feedback's eighth full length release and includes a collaboration with legendary industrial musician and friend Claus Larsen of Leæther Strip.

industry_corpus2: Film & Entertainment


text:
Stefanie takes great pride in being part of the motorcycle community. In support of local rides, charities, events, and the passion of riding motorcycles, our firm sends out a regular newsletter during the riding season. The Stef-Law Newsletter and Must Ride Calendar features upcoming motorcycle friendly events, giveaways, legal updates, and coverage of past events. If you would like to receive a copy via email, please fill out the contact form on this page. Make sure to write "Newsletter" in the subject box, and include your email address.
For even more events, photos and the complete Must Ride Motorcycle Event Calendar, check out GeorgiaBikeEvents.com.

industry_corpus2: Automobiles


text:
Mail4Rosey: Back to School: Time for Labels 20% off any Label Daddy Purchase!
Back to School: Time for Labels 20% off any Label Daddy Purchase!
These Label Daddy labels can be washed, and we love them!
For many school has started. For those still left to start, it's going to be after this weekend! The one thing you don't want to forget, that sometimes gets overlooked in the shopping frenzy going on right now, is Label Daddy labels!
Labels are amazing, terrific, fantastic, and awesome. Yes, I meant to be redundant. I cannot stress enough how much we value the use of labels in our home. We label everything....coats, jackets, mittens, hats, bookbags, sweatshirts, supply boxes, sippy cups, notebooks, lunch boxes, you name it.
I can't tell you how many times we've found something of ours in the Lost & Found that would have been gone for good, had we not had a label on it.
One of many, many cute designs for labels at Label Daddy!
Check out the site, look at what kind of savings they might have there and on their Facebook and/or Twitter, and get to shopping! The money you save on items not lost alone, will make these worth their weight in gold. Thank you Label Daddy!!
I label everything that goes out of the house with my boys. Otherwise I would never get half of the stuff back.
I've heard of this and it is a great deal. Love labels. I'm addicted to labels especially since I have 3 girls.
Anything with Olaf is going to be a huge hit in our house.
So cute! We label dang near everything but we make sure that they aren't visible to strangers.
I love how many different designs of labels they offer. Wish I had labels like this when my kids were in elementary school.
Oh, the Olaf labels are adorable! And, yes, we have been able to salvage many items out of the lost and found simply because we use labels! Thanks for the heads up on the savings!
I used to label everything for my kids because stuff got left everywhere! Those Olaf ones are adorable!
With both of my boys in school, that means there is a TON of stuff to label. Ugh. So glad there are products like this to make my life easier!
Very cute! Nice to see so many twee things for kids at school compared to when I was a little lass.
We need some labels you can wash for camp! These are super cute and would be perfect for our needs.
Labeling is great idea and so many cute label ...kids friendly.
It's hard to believe that its back to school time already. I really like those labels for organizing!
Those are such a great idea. This would save me some time!
Those are very cute labels! The twins would love it, they are in love with Olaf.
Nice designs from Label Daddy! Great way to help our kids find their stuff easily. Thanks for the review.
The kids love labels. Especially at school....they label everything. Makes it easy to know who's is what - they have it labeled.
These labels are so pretty. My girls are all about Frozen and they love Olaf. I will check this out.
Their nice and neat ones cute too heheh!
I have Label Daddy labels for my kids. With 5 kids it definitely helps out not getting things mixed up.
These are some cute labels. My girls love Frozen. They'll be so thrilled with these labels.
That is so cute. Labels could help my daughter with her kids and their stuff!
I got labels this year for the kids, they came with their supplies, it is surely a must!
I got my boys school labels all ready for school Tuesday. Now, Monday I just have to go through and label everything. I think the labels help make school a little bit more fun for them.
Labels are a great way to keep track of your kids stuff at school. So many kids end up with the same things.
Back to school is always going to be busy & fun. Labeling is always a great idea to make sure everything is organized well & good. Label Daddy is definitely my choice too anytime.
I like Labels as well and think they are a great Idea. I've never heard of Label Daddy but I will definitely give them a try. I like the fact that they are washable.
I haven't heard of LabelDaddies before, very cute/practical. I'm in love with labels myself. They make everything a little less messy.
Labels are always great to put on everything for the kids - backpacks, lunch bags, shoes, etc.
With the way my son loses items at school, I need to get him some for all his school things.
OtterBox Case #Giveaway - 2 Winners!
Weekends are a Good Time to Read!
New Book Release: The Lego Architect!
Informucate Yourself in 200 Words or Less!
HomeRight is Giving Away an E-Z Twist PaintStick!

industry_corpus2: Subject Education


text:
programs to achieve optimal utilization.
A operating system can be viewed as a resource manager.
Enforces boundaries among users and processes. Provides protection of hardware from user.
Enables user to work on system easily.
Hides complexity of the system from users.
Provides an abstract view of the system, i.e. a programmer is not required to think of the system level, can write programs easily.
Some of important responsibilities of an operating System.

industry_corpus2: Computing & Telecommunications


text:
Wages & salaries for Shipping, receiving, and traffic clerks in Great Falls, MT ?
The BLS estimates that in Great Falls, MT there were around 70 employed in the field of Shipping, receiving, and traffic clerks.
Shipping, receiving, and traffic clerks in Great Falls, MT earned 11% less than average for Shipping, receiving, and traffic clerks in the United States.
Shipping, receiving, and traffic clerks in Great Falls, MT earned 20% less than the average worker in Great Falls, MT.
Shipping, receiving, and traffic clerks in Great Falls, MT earned 22% less than the average worker in Montana.
Shipping, receiving, and traffic clerks in Great Falls, MT earned 38% less than the average worker in the United States.

industry_corpus2: Transportation


text:
The State Records Center (SRC) is a secure, low cost facility that offers State agencies and local units of government off-site control over semi-active and inactive records. The SRC's primary function is to serve agency needs for records maintenance, security and disposition.
Develop and implement a comprehensive state-wide records management program to assure that records are maintained and retrievable until their authorized disposition. Provide program leadership, technical assistance and high quality service to customers, to manage the creation, dissemination, utilization, organization, retrieval, retention and eventual disposition of records.
1. Advise and assist state agencies in establishing comprehensive records management programs (s. 16.62, Wis. Stats.).
Provides a low cost facility for the orderly and periodic transfer of agency records.
Provides a standard method for indexing, transferring and controlling agency records.
Provides fast and efficient reference service to the records housed at the State Records Center.
Systematically disposes or transfers records in the normal course of agency business in accordance with approved retention schedules.
Provides technical consulting service to state agencies in all areas of records management and Records Center policies.
What Is Needed to Use Center Services?
State agencies must have an approved Records Disposition Authorization (RDA) for records they wish to store. A current RDA (less than 10 years old) for the agency's records must be approved by the Public Records Board.
An RDA is a statement of records scheduling. It provides instructions and information as to the record content, format, length of the retention period, official record location and disposition. The RDA assists agencies in managing records from creation through disposition or during the record's life cycle. State statutes require that the agency prepare an RDA within one year from the time a record series is created.
Some records are important enough to warrant storage at the State Records Center, and some are not. Agencies need to properly analyze their records and prepare an appropriate RDA before they may store records at the State Records Center. This ensures management of the record series from the time the record is created through the final disposition.

industry_corpus2: Politics & Administration


text:
You have been learning about Azure Machine Learning as a powerful tool to solve the vast majority of common machine learning problems, but it is important to consider that it is not the only tool provided by Microsoft for that purpose. A previously seen alternative is Cognitive Services, and in this chapter, we look at other systems capable of dealing with large amounts of unstructured data (HDInsight clusters), data science tools integrated with SQL Server (R Services), and preconfigured workspaces in powerful Azure Virtual Machines (Deep Learning Virtual Machines and Data Science Virtual Machines).
Microsoft Cognitive Toolkit (CNTK) is behind many of the Cognitive Services models you learned to use in Skill 3.4: Consume exemplar Cognitive Services APIs. You can find CNTK in Cortana, the Bing recommendation system, the HoloLens object recognition algorithm, the Skype translator, and it is even used by Microsoft Research to build state-of-the-art models.
But what exactly is CNTK? It is a Microsoft open source deep learning toolkit. Like other deep learning tools, CNTK is based on the construction of computational graphs and their optimization using automatic differentiation. The toolkit is highly optimized and scales efficiently (from CPU, to GPU, to multiple machines). CNTK is also very portable and flexible; you can use it with programming languages like Python, C#, or C++, but you can also use a model description language called BrainScript.
With CNTK you can define many different types of neural networks based on building block composition. You can build feed forward neural networks (you review how to implement one in this skill), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and others. You can actually define almost any type of neural network, including your own modifications. The set of variables, parameters, operations, and their connections to each other are called are called computational graphs or computational networks.
As a first contact with the library, you create a Jupyter Notebook in which you adjust a linear regression to synthetic data. Although it is a very simple model and may not be as attractive as building a neural network, this example provides you an easier understanding of the concept of computational graphs. That concept applies equally to any type of neural network (including deep ones).
To follow the next example you need to install CNTK from https://docs.microsoft.com/en-us/cognitive-toolkit/Setup-CNTK-on-your-machine. If you already have Python installed in your environment you only need to install CNTK using pip and the URL of the wheel package that you can find in a given website. Also, you can use an Azure Deep Learning Virtual Machine, a virtual machine with pre-installed deep learning tools. You review how to create one in the next sections.
The first thing you must include in your notebook is an import section. Import cntk, matplotlib for visualizations, and numpy for matrices. Note that the fist line is a special Jupyter Notebook syntax to indicate that the matplotlib plots must be shown without calling the plt.show method.
For this example, you use synthetic data. Generate a dataset following a defined line plus noise y_data = x_data * w_data + b_data + noise where the variable w_data is the slope of the line, b_data the intercept or bias term and noise is a random gaussian noise with standard deviation given by the noise_stddev variable. Each row in x_data and y_data is a sample, and n_samples samples are generated between 0 and scale.
The last line of the code fragment shows the dataset (see Figure 4-1).
You implement linear regression, so you would try to find an estimation of y, normally written as y_hat, using a straight line: y_hat = w*x + b. The goal of this process would be to find w and b values that make the difference between y and y_hat minimal. For this purpose, you can use the least square error (y – y_hat)2 as your loss function (also called target / cost / objective function), the function you are going to minimize.
In order to find these values using CNTK, you must create a computational graph, that is, define which are the system’s inputs, which parameters you want to be optimized, and what is the order of the operations. With all of this information CNTK, making use of automatic differentiation, optimizes the values of w and b iteration after iteration. After several iterations, the final values of the parameters approach the original values: w_data and b_data. In Figure 4-2 you can find a graphical representation of what the computational network looks like.
If you execute operations from left to right, it is called a forward pass. If you run the derivatives of each operation from right to left, it is a called backwards pass. Note that the graph also includes the loss calculation. The outputs of the ‘+’ node are the predictions y_hat and, from then on, the graph is computing the loss. The backward pass optimizes the parameter values (w and b) in such a way as to minimize the loss.
To define your computational graph in CNTK, just use the following lines of code.
Notice that everything here is a placeholder, no computation is done. This code only creates the computational graph. You can see it as a circuit, so you are connecting the different elements but no electricity is flowing. Notice that the ‘*’, ‘-‘ and ‘+’ operators are overloaded by CNTK, so in those cases the operators have a behavior different from the one they have in standard Python. In this case, they create nodes in the computational graph and do not perform any calculations.
Now paint the predictions of the model and the data on a plot. Of course, getting good predictions is not expected, since you are only preparing a visualization function that will be used later. The way in which the visualization is done is by evaluating the model at point x=0 and point x=10 (10 is the value of the scale defined when creating the dataset). After evaluating the model at these points, only one line is drawn between the two values.
The result of calling the plot function is shown in Figure 4-3. The initial values of w and b are 0, which is why a constant line is painted in 0.
Train the model using batch gradient descent (all samples are used in each iteration). You can do that because there is little data. The following script performs 600 iterations and every 50 iterations shows the model loss on the training data (it actually performs 601 iterations in order to show the loss in the last iteration). The learner used is Stochastic Gradient Descent (C.sgd) and uses a learning rate of 0.01.
Note that a test set is not being used and performance is being measured only on the training set. Even if it is not the most correct way to do it, it is a simple experiment that only aims to show how to create and optimize computational networks with CNTK.
Figure 4-4 shows the training output and the plot of the predictions. Now the prediction line is no longer zero and is correctly adjusted to the data.
This example is a very simple one, used to explain the key concepts of CNTK. There are a lot of operations (nodes in the computation graph) that can be used in CNTK; indeed there are losses already defined so you do not need to explicitly write the least square error manually (‘-‘ and ‘·2’ nodes), you can use a pre-defined operation that implements that loss. For example, you can replace loss = C.square(y – y_hat) with loss = C.squared_loss(y, y_hat). Defining the least squared error manually is trivial, but for complex ones is not so trivial. You see more examples in the next sections.
Although GPUs were initially created to perform computer graphics related tasks, they are now widely used for general-purpose computation (commonly known as general-purpose computing on Graphics Processing Units or GPGPU). This is because the number of cores that a graphics card has is much higher than a typical CPU, allowing parallel operations. Linear algebra is one of the cornerstones of deep learning and the parallelization of operations such as matrix multiplications greatly speeds up training and predictions.
Despite the fact that GPUs are cheaper than other computing hardware (clusters or supercomputers), it is true that buying a GPU can mean a large initial investment and may become outdated after a few years. Azure, the Microsoft cloud, provides solutions to these problems. It enables you to create virtual machines with GPUs, the N-Series virtual machines. Among the N-Series we find two types: the computation-oriented NC-Series and the visualization-oriented NV-Series. Over time, newer versions of graphics cards are appearing and you can make use of them as easily as scaling the machine.
Those machines are great for using the GPU but they need a previous configuration: installing NVIDIA drivers and installing common tools for data science (Python, R, Power BI…).
Visit the documentation to learn how to install NVIDIA drivers for GPUs on N-Series VMs at: https://docs.microsoft.com/en-us/azure/virtual-machines/linux/n-series-driver-setup.
In this section you create a Deep Learning Virtual Machine (DLVM). This machine comes with pre-installed tools for deep learning. Go to Azure and search for it in the Azure Marketplace (see Figure 4-5).
The procedure is quite similar to creating any other VM. The only difference is when you have to select the size of the machine, which is restricted to NC-Series sizes (see Figure 4-6). For testing purposes select the NC6, which is the cheaper one.
Learn about the different GPU machines available in Azure at: https://docs.microsoft.com/en-us/azure/virtual-machines/windows/sizes-gpu. Check the prices at: https://azure.microsoft.com/en-us/pricing/details/virtual-machines.
Once the machine is created you can connect to it by remote desktop and discover that it comes with a lot of tools installed. Figure 4-7 shows a screenshot of the desktop showing some of the pre-installed tools. This allows you to start development quickly without having to worry about installing tools. The Skill 4.2 lists most of the pre-installed applications that a Windows machine has.
Open a command window and check that the virtual machine has all the NVIDIA drivers installed and detects that the machine has a GPU connected. Use the command nvidia-smi to do this (see Figure 4-8).
After building a simple example of computation graph at the beginning of this skill, it is time to build a deep model using the same principles exposed there: create a differentiable computational graph and optimize it by minimizing a cost function. This time you use a famous handwritten digits dataset: MNIST (introduced in LeCun et al., 1998a). The MNIST dataset contains 70000 images of digits from 0 to 9. Images are black and white and have 28x28 pixels. It is common in the machine learning community to use this dataset for tutorials or to test the effectiveness of new models.
The Figure 4-9 shows the implemented architecture: a three-layer feed forward network. This type of networks is characterized by the fact that neurons between contiguous layers are all connected together (dense or fully connected layers). As has been said before, data are black and white 28x28 images, 784 inputs if the images are unrolled in a single-dimensional array. The neural network has two hidden layers of 400 and 200 neurons and an output layer of 10 neurons, one for each class to predict. In order to convert the neural network output into probabilities, softmax is applied to the output of the last layer.
This example is a modified version of the one located at: https://cntk.ai/pythondocs/CNTK_103C_MNIST_MultiLayerPerceptron.html.
Each of the neurons in the first layer are connected to all input pixels (784). This means that there is a weight associated with this connection, so in the first layer there are 400 neurons x 784 inputs weights. As in linear regression, each neuron has an intercept term. In machine learning this is also known as bias term. So, the total number of parameters of the first layer are 400 x 784 + 400 bias terms. To obtain the output value of a neuron, what is done internally is to multiply each input by its associated weight, add the results together with the bias and apply the ReLU activation function.
The neurons of the second layer are connected, rather than to the input pixels, to the outputs of the first layer. There are 400 output values from the fist layer and 200 neurons on the second. Each neuron of the second layer is connected to all the neurons of the fist layer (fully connected as before). Following the same calculations as before, the number of parameters of this second layer is 200 x 400 + 200. ReLU is also used as activation function in this layer.
The third and last layer has 10 x 200 + 10 weights. This layer does not use ReLU, but uses softmax to obtain the probability that a given input image is one digit or another. The first neuron in this layer corresponds to the probability of the image being a zero, the second corresponds to the probability of being a one and so on.
A great resource for learning about neural networks is the Geoffrey Hinton course at Coursera: https://www.coursera.org/learn/neural-networks. Another good resource is CS231n Convolutional Neural Networks for Visual Recognition at: http://cs231n.stanford.edu/.
Create a new Notebook for this exercise. If you are using a Deep Learning Virtual Machine you can run the Jupyter Notebook by clicking the desktop icon (see Figure 4-7).
First write all the necessary imports. Apart from numpy, matplotlib and cntk, you use sklearn to easily load the MNIST dataset.
Fetch the data, preprocess it and split it for training and test. The values of each pixel range from 0 to 255 in grayscale. In order to improve the performance of neural networks, always consider normalizing the inputs, which is why each pixel is divided between 255.
# Get the data and save it in your home directory.
# Split train and test.
Now that the data is loaded you can create the computational graph.
The variable hidden_layers is a list with the number of hidden neurons of each layer. If you add more numbers to the list, more layers are added to the final neural network. Those layers are initialized using Xavier Glorot uniform initialization (C.layers.glorot_uniform) and are using ReLU (C.ops.relu) as activation function. Xavier’s initialization is a way to set the initial weights of a network with the objective of increasing gradients to speed up training. ReLU activations are commonly used in deep nets because does not suffer from the vanishing gradient problem. The vanishing gradient problem refers to the fact that using sigmoids or hyperbolic tangents (tanh) as activation functions causes the backpropagation signal to degrade as the number of layers increases. This occurs because the derivatives of these functions are between 0 and 1, so consecutive multiplications of small gradients make the gradient of the first layers close to 0. A gradient close to zero means that the weights are practically not updated after each iteration. ReLU activation implements the function max(0, x), so the derivative when x is positive is always 1, avoiding the vanishing gradient problem.
Notice that this time you have used “multi-operation” nodes like the cross entropy and the dense layer. In this way there is no need to manually implement the Softmax function, or implement the matrix multiplication and bias addition that takes place under the wood in a Dense layer. Most of the time, CNTK manages the optimization of these nodes in an even more efficient way than implementing operation by operation.
Once the computational network has been built, all that remains is to feed it with data, execute forward passes, and optimize the value of the parameters with backward passes.
Probably the trickiest part of this script is the function minibatch_generator. This function is a Python generator and the variable get_minibatch contains an iterator that returns a different batch each time next(get_minibatch) is called. That part really has nothing to do with CNTK, it’s just a way to get different samples in each batch.
During the training, every 500 minibatches, information is printed on screen about the state of the training: number of minibatches, training loss, and the result of the model evaluation on a test set.
The output of the code fragment above is shown in Figure 4-10.
It is always convenient to display some examples of the test set and check the performance of the model. The following script creates a grid of plots in which random samples are painted. The title of each plot is the value of its label and the value predicted by the algorithm. If these values do not match, the title will be painted in red to indicate an error.
# The next two lines use argmax to pass from one-hot encoding to number.
Execute the code. If you use the same random seed, the samples should be like those in Figure 4-11. The value 2 has been chosen as seed because it offers samples in which errors have been made; other random seed values give fewer or no errors. A very interesting way to evaluate neural networks is to look at the errors. In the Figure 4-11 you can see that both misclassifications occur in numbers that are cut below. This kind of visualization can help you to discover bugs in data acquisition or preprocessing. Other common bugs that can be discovered visualizing errors are bad labeled examples, where the algorithm fails because it is actually detecting the correct class but the label is not correct.
The model is already properly trained and has been proven to work. The example ends here, but consider playing with some hyperparameters like the number of hidden layers/neurons, minibatch size, learning rate, or even other learners different to SGD.
In addition to what you have seen, CNTK offers you many options that have not been discussed: a lot of different operations and losses, data readers, saving trained models to disk, and loading them to later executions.
Visit the documentation to learn how to deploy your training models in different environments at: https://docs.microsoft.com/en-us/cognitive-toolkit/CNTK-Evaluation-Overview.
Get a complete description of each of the methods offered by the CNTK Python API at: https://www.cntk.ai/pythondocs/cntk.html.
You have seen something about neural nets on Azure Machine Learning in Skill 2.1. One section of that skill discussed how to create and train neural networks using the Azure Machine Learning module. It was mentioned that, in order to define the structure of the network, it was necessary to write a Net# script. An example was shown on how to construct a neural network with two hidden layers and an output of 10 neurons with Softmax activation. In fact, that example addressed the same problem as in the previous section: classification using the MNIST dataset. If we compare the four Net# lines and the dragging and dropping of Azure Machine Learning modules with the complexity of a CNTK script, you see that there is a big difference. This section lists the advantages and disadvantages of implementing your own neural network in CNTK as opposed to using the Azure Machine Learning module.
Specify how layers are to be connected to each other and define special connectivity structures, such as convolutions and weight sharing bundles.
It does not accept regularization (neither L2 nor dropout). This makes the training more difficult, especially with big networks. To avoid this problem, you have to limit the number of training iterations so that the network does not adjust too much to the data (overfitting).
The number of activation functions that you can use are limited and you cannot define your own activation functions either. For example, there is no ReLU activation that are commonly used in deep learning due to their benefits in backpropagation.
There are certain aspects that you cannot modify, such as the batch size of the Stochastic Gradient Descent (SGD). Besides that, you cannot use other optimization algorithms; you can use SGD with momentum, but not others like Adam, or RMSprop.
You cannot define recurrent or recursive neural networks.
Apart from the Net# limitations, the information provided during training in the output log is quite limited and cannot be changed (see Figure 4-12).
With all these shortcomings it is difficult to build a deep neural network that can be successfully trained. But apart from that Net# and log limitations, for deep architectures and to handle a high volume of data (MNIST is actually a small dataset), training a neural network in Azure Machine Learning can be very slow. For all those cases it is preferable to use a GPU-enabled machine. Another drawback of Azure Machine Learning is that it does not allow you to manage the resources dedicated to each experiment. Using an Azure virtual machine you can change the size of the machine whenever you need it.
In CNTK we have all the control during training. For instance, you can stop training when loss goes under a certain threshold. Something as simple as that cannot be done in Azure Machine Learning. All that control comes from the freedom you get from using a programming language.
Programming can become more difficult than managing a graphical interface such as in Azure Machine Learning, but sometimes building a neural network with CNTK is not that much more complicated than writing a complex Net# script. On the other hand, CNTK has a Python API, which is a programming language that is very common in data science and easy to learn. If programming is difficult for you, you should consider using tools like Keras. This tool is a high level deep learning library that uses other libraries like Tensorflow or CNTK for the computational graph implementation. You can implement a digit classifier with far fewer lines than those shown in the example in the previous section and with exactly the same benefits as using CNTK. Also, CNTK is an open source project, so there is a community that offers support for the tool and a lot of examples are available on the Internet.
Quite similar to Net#, there is a BrainScript language for CNTK that allows you to define models in a non-programmatic way. To learn more, visit: https://docs.microsoft.com/en-us/cognitive-toolkit/BrainScript-Network-Builder.
Deep learning models work very well, especially when working with tons of unstructured data. Those big models are almost impossible to implement in Azure Machine Learning due to the computation limitations, but for simple, small, and structured datasets, the use of Azure Machine Learning can be more convenient and achieve the same results as CNTK.
Figure 4-13 shows a summary table with all the pros and cons listed in this section.

industry_corpus2: Artificial Intelligence


text:
Moto E 2nd Gen 3G is a premium smartphone from Motorola. It is all set to amaze you with its excellent performance. This 3G enabled smartphone runs on the latest Android 5.0 Lollipop operating system along with the advanced Qualcomm Snapdragon 200 processor. It has a water resistant coating that makes it extremely durable and user-friendly. Snapdeal is selling it at Rs4799 only. It is very good in case of the quality of the product. It is the lowest price of this product. Thats why its a steal deal. So Hurry Up and Buy Moto E 2nd Gen 3G at Lowest Price From Snapdeal.
So Guys Hurry Up And Grab This Awesome Deal From Snapdeal On Moto E 2nd Gen 3G Before Its Price Goes Up. Keep Visiting MissingTricks For More Exclusive Deals Like This. Thanks.


text:
A couple months ago Redditor NoohjXLVII posted online, thanking Bethesda for Fallout 4, which he said helped keep his mind off a family tragedy.
He dealt with the pain through creating a bipedal sentry bot and naming it after his father -- GR-36 (father's name was Greg). Then, this summer NoohjXLVII was struck yet again by another devastating blow: he received a call that his 24-year-old brother was in the ICU. His brother passed away shortly thereafter, and his friends started up a GoFundMe, which details his medical condition.
“The words they use sound exactly like him, however he was also a pretty funny guy, full of puns,” NoohjXLVII wrote online yesterday, giving thanks to Bethesda, and saying he'd forever be in their debt.
Mike Wilson, a professional parkour and freerunning athlete, wanted to do something special for his 5-year old son Jayden, who was diagnosed with a terminal brain tumor.
So on his birthday this year, he made a replica Spider-Man suit and jumped down from the roof to pay him a visit, capturing the moment with a hidden GoPro camera.
You can read more updates about Jayden on his Facebook page.
Makes you smile every time you look at it.
It doesn't matter whether you're large or small. What matters is how large your heart is.


text: A trendy unisex Double White Plaited Leather ID wristband with a non-allergenic stainless steel ID tag size 40mm x 14mm, featuring a dark etched snake and staff medical symbol. The strap is approx. 10mm wide and has a stainless steel push clip fastener.

industry_corpus2: Manufacturing


text:
migrated temporarily to the islands between Qatir and the Pirate Coast.
Arabian coast which is more fully desenbed* in the histoiy of liucia Qatarj 18 23.
observed by the inhabitants, who appeared to be ignorant of its terms.
* Vide page 677 ante.

industry_corpus2: Others


text:
Opalesque Industry Update - The Mizuho-Eurekahedge Index (USD), an asset-weighted index representing the global hedge fund industry performance was down 0.39% in December, bringing its year-to-date loss to 4.09% amidst the global equity market sell-off.
Despite ending the year in the red, hedge fund managers recorded their best outperformance over the global equity markets since 2011, as they returned 7.70% more than the MSCI ACWI IMI (USD) throughout 2018.
The MSCI ACWI Investable Market Index (IMI) captures large, mid and small cap representation across 23 developed markets and 24 emerging markets countries. With 8,725 constituents, the index covers approximately 99% of the global equity investment opportunity set. It was down 9.6% in 2018.
Historically, the Mizuho-Eurekahedge Index (USD) has outperformed underlying equity markets during periods of market distress, such as the years 2008 and 2011, during which the index outperformed global equity markets by 28.52% and 7.80% respectively.
A total of 601 fund launches and 613 liquidations were recorded in 2018, marking a third consecutive year in which fund closure activities outpace launches.
Among these newly launched funds, 55.7% charged no less than 20% performance fees, compared to 45.8% back in 2017. However, both figures are still significantly lower than what was observed prior to the financial crisis, during which an overwhelming majority of hedge funds charged 20% performance fees or higher.

industry_corpus2: Finance & Economics


text:
This year's opening day of Sunset Park's Green Market (every Saturday at 4th Avenue and 59th Street) was busy, bustling, and full of good looking fruits, veggies, flowers, and fragrant basil and cilantro. These selections were truly gorgeous. At $4 a pint, the cherries were tempting, but still a little over my budget. It was $6 for a quart.
These potted plants were waiting to be displayed outside of the sun's reach.
Even before 9 AM, the people came to buy. Almost all of the vendors displayed signs that EBT and Farmer's Market checks would be accepted. Lots of people took advantage of that option.
At 50 cents an ear, it wasn't a huge deal, but the table was surrounded by eager husk-strippers looking for the perfect kernel. Perhaps later in the season we'll get a better selection; I found several ears with deflated kernels on the top third.
These flowers were really beautiful. They, and the potted plants at another table, were the only offerings of purely decorative elements.
Mmmmmm. These, and the calabasa next to them, looked so good. The stand wasn't happy about having a photo taken, until I promised no people were included in the shot.

industry_corpus2: Agriculture & Fisheries


text:
A very large blue hedgehog with shoes is in a city street. 10 very large yellow hoops are in front of the hedgehog. The small white text "Gotta go fast" is in front of the hoops and on the hedgehog.
A blue man is underneath a small blue bush in the air. a very huge golden ring in front of the blue man. a very huge golden ring a foot in front of the very huge ring. a very huge golden ring a foot in front of the very huge ring. the ground is grass.
the blue hedgehog is on top of a hill. 5 golden rings are to the left of it. a red man is 20 feet behind the hedgehog. a tiny fox is to the right of the hedgehog. a large green emerald is above it.
the blue hedgehog stands on the grass. there are 5 very large gold rings 1 foot in front of the hedgehog. there are 2 very small red shoes under the hedgehog. 4 inches to the left of the hedgehog is a very small orange fox. 4 inches to the right of the hedgehog is a small red echidna. a red light is 3 inches to the right of the echidna. a yellow light is 3 inches to the left of the fox. 4 inches above the hedgehog is very tiny white "i must proceed at a high velocity."


text:
Over the Summer three members of the Sixth Form earned international honours competing for the GB Junior Team in two of the most prestigious events of the junior rowing calendar.
Captain of Boats,Jens Clausen, and fellow member of the 1st VIII Dominic Jackson, competed in the Coupe de la Jeunesse in Szeged, Hungary, in which they faced crews from across Europe. Jens won two Bronze medals in the Junior Men’s Eight and Dominic won a Bronze in the Coxless Four.
There was also Hampton representation in the Junior World Championships in Brazil over the summer. Chris Zahn was selected from hundreds of hopefuls to have the honour to compete in the competition in Rio de Janeiro in August. Chris rowed in the Coxed Four and competed on the course that will be used during the Olympics in Rio in Summer 2016.

industry_corpus2: Sports


text: During the “empowering people. Onsite” workshop in Bogotá, Colombia, we got to talk to one of the participants, Anita Rivera: Hello Anita. Could you please explain to us what type of organization TriCiclos is and what your part in the organization is?


text:
Hey everybody! I have just created a new Flickr group for people wearing QC merchandise! It is located HERE and I would absolutely love to see any pictures you have of you or your friends wearing QC stuff! There may be PRIZES for especially awesome pictures. Upload away!
Tonight's newspost exclamation points have been brought to you by the letters C, O, F, F, E, and E.


text:
Required Water - 1 cup approx.
To Make Batter:In a bowl,Add Besan flour and add water little by little and make a smooth and pouring consistency batter. Make the batter perfectly then only you will get round boondi.
To Check the batter consistency,take a spoon and dip the backside of the spoon in the batter and hold it above the hot oil.if it drops as round ,then the batter consistency was perfect.If it is elongated,it means the batter is thick and so you can add some more water and if it falls too quickly and forms clumps ,it means the batter is too watery and you can add little besan flour to it.
To Make Boondis: Heat oil in a pan for frying.Temperature of the Oil should be hot otherwise it will absorb more Oil.To check ,as you drop a little batter ,it should float immediately.
Once the oil is hot ,keep the perforated ladle over the hot oil and take a spoon of batter and pour over the perforated ladle and keep spreading in a circular motion.Fry the boondi till they are little soft. Drain them and set aside.
To make Sugar Syrup:Take sugar and water in a pan, stir well so it is melted completely. Bring it to a boil and cook till it attain a single string consistency. To check string consistency,take a little sugar syrup in a spoon/ladle and test it between your thumb and fore finger.if it forms a single string ,the sugar syrup is ready(make sure don’t burn your your fingers).The sugar syrup is very important for making ladoos.
Once it attain single string consistency,Switch off the heat and add in cardamom powder, clove powder, Edible food colour (OPTIONAL)and mix well.
To Roast Nuts:In a small pan,melt about a tbsp Ghee and roast some cashews and raisins.
Using the back of the big ladle,mash the boondis a little,so that it will form perfect shape easily.Take small portion of the boondis and shape it into a tight ladoo. Likewise do with all the boondis. Allow it to rest for 1 or 2 hrs until it gets firm .
Make balls when this is luke warm, else the sugar will be crystalised and ladoos can not be formed.


text:
Middlebrow Matters is the first book to study the middlebrow novel in France. It asks what middlebrow means, and applies the term positively to explore the ‘poetics’ of the types of novel that have attracted ‘ordinary’ fiction readers – in their majority female – since the end of the 19th century. The book has recently been unlatched by Knowledge Unlatched, and the ebook can now be accessed for free. We caught up with author Diana Holmes to discuss more about the book.
Firstly, could you tell us a bit about Middlebrow Matters and what drew you to focus your work in this area?
Since at least A-level days I have been fascinated by literature, even the more arid reaches of modernism (Robbe-Grillet and the French ‘new novel’ come to mind). But I gradually became aware of a real divide between what I thought of as ‘books to read with a notebook and pen handy’ and the books I read – constantly – for pleasure. There was something in the deeply pleasurable experience of reading fiction that was neither valued nor accounted for in most literary criticism and theory. I wrote seriously about fully ‘popular’ fiction, including the Harlequin romance, but that did not correspond either to the sort of novel I and (I think) most avid book-lovers read, which falls between ‘literary’ and popular and is thus … middlebrow.
There was also a sort of semi-conscious political motivation in the desire to write this book. Literary scholarship tends to display a quiet disdain for ‘what most people read’. Difficult, ground-breaking, challenging, shocking is good: absorbing, page-turning, easy-to-read, moving is bad – hence the negative connotations of the word ‘middlebrow’. And somehow what women write and read is more readily placed in the latter category.
This is the first book to focus on the middlebrow novel in France. How does this volume pave the way for future research on the topic?
Inevitably, despite the self-consciously challenging stance of each generation of literary scholars, a sort of master (the word is apt) narrative of a country’s literature gets written and generally accepted. Much has to be excluded, and I think what has disappeared especially in France is that broad swathe of serious-but-pleasurable fiction read by the majority – and the majority of readers over the past century have been women. Fiction read by a significant section of the population surely plays its part in forming, or inflecting, socio-political values. In some cases such literature is hard to re-discover: I am still surprised by the relative absence in France of the rich seam of middlebrow women’s writing so evident in Britain in the inter-war period (thank you Virago and Persephone), and I hope there are authors there I failed to find. Much work remains to be done on reading tastes at different periods, on forgotten writers and on the mainstream, broadly popular reception of acknowledged writers such as Mauriac, Colette, Beauvoir.
The book looks at several middlebrow authors from varying periods. Is there a particular author who you think is crucial to this study, or one you particularly enjoyed writing about?
Well of course there is Colette – I think the only book in which I have managed not to talk about Colette is the one on François Truffaut’s cinema. She is crucial here not of course because she is under-recognised (though she was for a long time), but because in the copious criticism devoted to her the aspect of her work least acknowledged is probably her huge appeal for ‘ordinary’ readers, and the reasons for this. Then there is the brave band of Belle Époque women novelists – hugely read at the time, then totally forgotten until (mainly Anglophone) feminist critics rediscovered them over the last few decades, though they remain largely out-of-print. Topical as they were, their novels (I think especially of Daniel Lesueur) are still brilliant page-turners that also deal with hard questions of gender politics, and they deserve further attention. As does the equally topical but also durably eloquent fiction of Françoise Sagan.
You close the book with a double reading of Marie NDiaye’s La Femme puissante which is a particularly interesting feature of your work. How did you find switching to and from ‘non-academic mode’, and what did you conclude from this?
This was part of the original proposal for the book – one of those bright ideas that you later have moments of regretting when it proves really difficult to write! Rather than a conventional conclusion – I hoped the central argument had been sufficiently spelled out – I wanted to try to put into words the (usually unarticulated) experience of suspending disbelief and travelling in imagination into the fictional world, and to compare this with the more detached, analytical reading I also engage in as a literary critic. To separate these completely is of course artificial, but what I learned from the exercise was that ‘just reading for pleasure’ is as instructive as the more cerebral process of analysing a text, though in a different way. The ‘immersive’ reading of Ndiaye’s story left traces of felt emotion that my critical reading might well have ignored. Through imaginative absorption into someone else’s consciousness and a world dissimilar to our own, we simulate experience beyond the confines of our own lives and thus (even if unconsciously) we grow a bit, develop, get outside our own skin. This is not often captured in literary analysis.
This book took a long time to write and I have unfinished business begun alongside ‘Middlebrow’ that I want to complete before deciding on the next direction. There is a collaborative edited volume on French feminism 1975-2015, Making Waves, now in production with Liverpool University Press. I am also engaged in a collaborative project on women and ageing in French culture, and writing a comparative piece on ageing in the work of Annie Ernaux, Nancy Huston and Margaret Drabble. Then a research group in Paris have invited me to speak at a conference on women and literary periodicals in France (Femmes et revues), and that allows me to go back to archival work on ‘my’ Belle Époque women writers and their spirited struggles to be taken seriously by a deeply patriarchal literary establishment. One of these will probably contain the seeds of a new project.
Visit our website for more information on Middlebrow Matters or to read the ebook for free.

industry_corpus2: Literature & Emotions


text:
With time, we all get visible lines on our face.
It is natural for our face to lose some of it's youthful fullness.
We notice our skin becoming thinner and drier.
By taking some preventive actions, we can slow the effects that this type of aging has on our skin.
It contains gold, peptide, collagen, and sagging skin, helping to promote sagging and flexible skin.
2. Apply the super miracle lifting mask starting from the neck up to the foreheaf.
3. Wait 20 ~ 30 minutes, then carefully peel off the mask from the neck up.

industry_corpus2: Health & Medicine


text:
This training is specifically designed for child interviewers who have responsibility for initial forensic interviews of children. It is appropriate for professionals from the fields of Child Protective Services, law enforcement, and those affiliated with a Children's Advocacy Center (CAC). The NCAC has provided child interviewing training since 1999 through the NCAC Training Center in Huntsville, Alabama.
In this course, the attendee will experience immersion in the latest research-based information on interviewing techniques along with the opportunity to develop and refine interviewing skills. Additional topics to be covered are the NCAC Forensic Interview Structure, forensic questioning, developmental issues, interview strategies, and interviewing tools. Our goal for this training is to provide each attendee with new knowledge and skills to assist them in their daily job. In addition, we wish for attendees to depart with new knowledge of colleagues who can be sources of ongoing support in the important work that is done with children and families in their respective communities.
This training is open to those who perform forensic interviews of children in the Northeast Region.
A room block has been established at The Tower Square Hotel at the government per diem rate for attendee's convenience. A lodging link will be distributed after the attendee list is finalized. Lodging will be paid by attendees. Please do not make travel or lodging arrangements before receiving a confirmation of your acceptance to this training.
By checking this box I acknowledge that this event requires full attendance at the entire 5-day training.
This project is being funded by a grant from the Office of Justice Programs, Office of Juvenile Justice Delinquency and Prevention. Dept. of Justice Grant # 2016-CI-FX-K003, CFDA #16.758.

industry_corpus2: Law & Justice


text:
State Senate hopeful Everly Brown’s job creation stumping fell short long before he made it out of his campaign office, canvassers said.
Multiple canvassers for the Brown campaign said they did not receive the $150 promised to them on primary day in exchange for handing out literature on behalf of Sen. James Sanders’ (D-South Ozone Park) challenger from 6 a.m. to 9 p.m.
Instead, workers Melsun Greyer, William Cox and Julie Tate said the campaign called police for backup, informed them it had run out of money and left them waiting without details about how to recoup their wages.
Tate said about four of the dozen she helped get jobs on Primary Day were paid about a week late, while others arrived at the office to find nobody there and no information about whether they would be paid.
Greyer and Cox said they received their money Monday.
Cox grew worried about not getting paid after he said Brown sneaked out the back door of his campaign headquarters Sept. 9 as about 60 people remained in line.
Brown, a Rosedale developer, and Gian Jones, a Bayswater real estate executive, lost the Democratic primary to Sanders, who currently represents the 10th Senate District, running from Arverne to Far Rockaway and north through South Jamaica, South Ozone Park and Richmond Hill.
Brown denied having any knowledge of what transpired on primary night.
He instructed those with questions to contact the campaign treasurer at his 114-34 Farmers Blvd. office, which is technically outside the district he was seeking to represent.
Nobody could be reached at the campaign headquarters, but a message on the voice mail of Brown’s campaign manager instructed people seeking payments to fill out a form on Brown’s website.
A note posted on the candidate’s site under the header “Conflict resolution” alleges that the office was overwhelmed by people demanding money, some of whom did not work for Brown’s campaign, and that police had to restore order.
“Employees of the Brown campaign were escorted by officers into their vehicles. They were greeted by individuals carrying weapons and were followed by vehicles. Their lives were all in danger, and in fear for their lives they had to establish themselves somewhere safe,” the website said.
The Police Department confirmed officers were dispatched to Brown headquarters at about 9:30 p.m. based on a complaint that people were refusing to leave the area and a riot may be imminent. The NYPD said these issues had dissipated when officers arrived. The department said it had no record of weapons, injuries or police escorting anyone from the scene.


text:
While it is not exactly known when the Masonic Fraternity was formed, it is believed that the language and symbols used during the middle ages came from the stonemason's guilds.
Freemasonry emphasises on personal study, self-improvement, and social activities. Since the 1700s Freemasonry was one of the organisations mainly responsible for passing on, the ideals of dignity by man, liberty of the individual, the right of all persons to worship as they chose, the formation of democratic governments, and the importance of public education. It is said, that Freemasons supported the first public schools in both Europe and America.
Freemasons are all over the world involved in charity and community services. Their support ranges from providing hospitals for children, funding medical research, contributing to local community service, as well as providing care to Freemasons and their families at Masonic Homes.
In order to join you must seek admission by your own free will, and you must be recommended by a current Freemason, unanimously elected to membership and willing to assume an obligation to the fraternity.
As you follow the path of Masonry you will have the opportunity to earn three symbolic degrees representing the lessons of Masonry.
The small blue forget-me-not flower, first used by the Nazis for a kind of charity, enabled the Freemasons to wear it as a secret sign of membership for it's than forbidden organization.
Care - Friendship - Integrity.
History Talk Shriner's Flag - The Hopping Kangaroo offers an extensive Range of Historical Flags. With our History Talk we take pleasure to give you as much extra information as possible.


text:
Which breakfast carb reigns supreme?
I'm a french toast guy myself.
But my girl thinks she can convert me with a "German Oven Pancake".
Unless you put a Dutch baby in the poll.
French Toast. But it’s not really a fair comparison. French Toast is layered in multiple flavors before it even gets a topping.
I’ve had French toast so good you didn’t want to put syrup on it.
Pancakes are like the third party candidate that wants to debate but...naw.
Now we are really breaking out of the parameters. And if we are going to do so, Beaver Tails.
Precisely. The weak sibling of the bread family.
And when you get up here, we can road trip to PDX and I will treat you to some.
French Toast on its own.
Crape (thin pancake) if you allow for toppings.
That looks like a better version of that German oven pancake thing. Might have to give it a try.
Fluffy home made Pancakes with peanut butter and maple syrup just like grandma used to make.
If you haven't tried peanut butter on your pancakes your missing something special.
Only way to eat fluffy pancakes.
If you like runny eggs, throw one on top to get sweet + salty + savory all in one delicious bite.
Freedom Toast has always been my favorite.
Peanut butter and jelly waffle sandwiches though..
Blueberry banana pancakes made from scratch. Fresh blueberries and top them with real maple syrup not that high fructose corn syrup mess they call maple flavored syrup. Cooked blueberries inside the pancakes are a tart moist counterpoint to the subtle sweetness of genuine maple syrup.
The key to good pancakes is melting the butter on the stove top before adding it to the other ingredients (never use boxed pancake mix). If you do that, the pancakes turn out fluffy.
But, I agree with others, a good French Toast is superior to a good waffle of pancake. I just made french toast with left over banana nut bread and people who hated eating the bread were going for seconds when turned into french toast.
but a properly made sweet potatoe waffle with light syrup is the bizness.
was in Savannah for a long weekend....went to this hole in the wall looking diner that everyone recommended....packed wall to wall.....by the time I got my food, I took a bite of the French Toast before I expended the energy to reach for the syrup, and I immediately knew it would be a crime to risk the syrup not being of similar quality to the amazing French Toast. I left that place in pain I ate so much, but it was probably the best breakfast I had ever had....the fried potatoes, the biscuits and sausage gravy....even the milk and juice tasted better.


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I AIN'T GET TAUGHT, she talkin' bout mah shoestring in mah hair whateva!
I need a pencil. I need a pencil dawg. I need a pencil so I can write on this scranton. I'm bout to fail dis test, but I'm still dah best, Imma wake up 5 minutes before and say Arra u dah bess and she gone gimme all dem answers cuz I asked 4 dat ****ttttt. AND I AIN'T PLAYIN' WITH EM.
If this dumb hoe comes in mah camera 1 more time imma break her ****in' neck cuz that's how I'm feelin' right now!
Ur a wifi rollout puff who never uses pound with a hot mom stfu.
You should back me up on that thing I started in the social thread. You and I both know it's true. It's the same thing you're saying actually, 95% mk 5% jiggs -> places top 20 - > ''omg I r best jiggz noa!!!''.
I'm actually at the club right now and I lol'd at your messages you should be a comedian lmaoo. Oh and I'm in philly around June hell yeah boyyyyyyy.
Omai goodness I have a cat to! Her name is Dashaquitra Bonquisha Cherice. Pretty name huh :3.
That's right you little mice you little mice you better crawl back to your cave Exegg the Cat *meow mehhh* will BUST yo *** ight......?!
**** dat ****!!! That line was wack anyways, especially how I beat yo *** cause my flow is sick as hell.
LOL I actually thought the introduction was freaking long, that's when I realized he already started ''rapping''. Swag swag swag swag swag swag swag swag swag swag swag swag swag swag swag swag.
What music you're into nowadays? If it's rock/country don't reply lmao.
I ain't no white boi, u the white boi in here. Woody's the whitest nugguh in dis bish.
Damnnn and all you *****es wanna have fun huh? Damnnn but none of you got some credit? I'll be damned if my add would've volunteered, because I am the most glamorous and my **** is damn feared.
Yo, yo I mean... Are we talkin' about hoes now. Because really, really... I'm not renting anything now. I got some french ones rare and not polished if you see me you be thinking yo exegg is the hottest!
Hoes on my back, know those are hoes on my lap trynna look a pimp with no hoes in your stack. You got 50 dollars for me, for those hoes that you lack, cause with no hoes behind your back you'll get popped with a mac!
Like mah status if you like mah status!
Yo, I'm available now, 0001 4273 3229 if you need my fc.
You're such a ****, posting your phone number on the internet like that. Where is your self-respect.
I don't have text on my phone ._. You can add my msn or aim, eraofgames@live.com and EraOfGames, respectively. If you don't have those I'll just check my visitor messages for when you're available lul..
Mr. Know it all. But do you really know it all?
You're so mean :( First you're taking the ghettoness out of me, then when it's controling me, you're saying I should go back to school. How can a human be so cold :(?
***** I ain't nobody be soundin' like me ight aint nobody be sounding like me, I knooooooooooooow ur aint talin crap 2 me, country?! ***** I be damned. Looks like ur hoe *** got a lil secret and is now makin it go around. Let it be known, I mean damn u look like **** irl. Ill hurt u ight?! Ill hurt u. Dont involve me in ur lil ghetto shiz cuz I AINT ghetto ight?! I mean damn I use to run for likkin' with tonya. But not anymore tho. SO stfu or HELL is gonna break lose.
Bish *** hoe if u wanna take it ill set it off for u here tho, throw yah niqqah *** from a table like u sum bar of soap *woopsie* there u go ight?! I mean damn not like u have anything on me. Yah said things I aint happy bout now u said it for show I was like nuthin. SO IF U GOT ANY DIGGITY. GET OUT MAH BUSSNISS mmmOK?!


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October 1, 2014 (St. Cloud, FL): The Carol Platt for Congress Campaign announced today their effort to ensure that voters in Congressional District 9 have the facts about Alan Grayson. The effort, centered around the website www.CongressmanWithoutHonor.com is designed to chronicle Grayson’s behavior in the past several years and ensure that voters know the full story of who Alan Grayson is and the values that drive his decisions.
Carol Platt’s life has been profoundly shaped by service, hard work and knowing what it takes to make ends meet – in business and at home. She is passionate about great and effective government that serves the people – and deeply concerned that neither greatness nor service are values currently representing the 9th Congressional district. It’s what has motivated her to run – and it will be her compass when she serves.


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To load jQuery in SpiderMonkey’s js console you should emulate browser’s environment first. This can be done using envjs project, originally developed by John Resig.
Sadly, but only way to get it now is build manually from source, which will require java VM and ant… or you can just download compiled env.js (version 1.2.13) from my site.
Several people have troubles with using their own env.js, I don’t sure why - maybe something is wrong with latest versions or people compile it somehow in wrong way. If you have such troubles - try to download my version, it usually works ok.
Download and save env.js, jQuery and selected plugins (I recommend at least jquery-dump) to disk.


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- Carry passengers, but not for profit, provided you have made 3 take-offs and landings within the last 90 days.
- Fly VFR at night if you hold a night rating. To carry passengers, you must have made at least one of the 3 recent take-off and landings at night.
You must be at least 17 years old for the issue of an LAPL for aeroplanes and helicopters.
The medical requirements are lower than those of the full class 2 medical required for a PPL. Your medical certificate can be issued by a GP or by a an AME (Aviation Medical Examiner).
Our organisation is a fully approved EASA Approved Training Organisation (ATO) and therefore we can offer you training towards an LAPL.
Once all the above requirements have been met, you will be ready to complete a Licensing Skills Test (LST) with an approved CAA examiner.
We estimate it will cost you around £6000, this of course would be with the minimum of 30 hours of training. If you find yourself needing a little more training before you feel ready for the exam, naturally it will cost you a little more.

industry_corpus2: Aerospace


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Created for Ludum Dare 29. The cat controls with WASD, shift, and spacebar. You can latch onto walls for a few seconds by jumping on them. When latched onto the wall, you'll be able to jump powerfully toward the reticle.
Cleanse patches of vermin to clear the infection. When you've cleansed enough patches, the level of the infection will drop. You can then go beneath the surface to find more vermin and progress.
There are three main regions: the desert, the tunnel, and the cathedral.

industry_corpus2: Gaming


text: A NEW YORK TIMES BESTSELLEROn the first anniversary of the events at Parkland, the acclaimed, New York Times bestselling author of Columbine offers an intimate, deeply moving account of the extraordinary teenage survivors who became activists and pushed back against the NRA and feckless Congressional leaders—inspiring millions of Americans to join their grassroots #neveragain movement.Nineteen years ago, Dave Cullen was among the first to arrive at Columbine High, even before most of the SWAT teams went in. While writing his acclaimed account of the tragedy, he suffered two bouts of secondary PTSD. He covered all the later tragedies from a distance, working with a cadre of experts cultivated from academia and the FBI, but swore he would never return to the scene of a ghastly crime.But in March 2018, Cullen went to Marjory Stoneman Douglas High School because something radically different was happening. In nearly twenty years witnessing the mass shootings epidemic escalate, he was stunned and awed by the courage, anger, and conviction of the high school's students. Refusing to allow adults and the media to shape their story, these remarkable adolescents took control, using their grief as a catalyst for change, transforming tragedy into a movement of astonishing hope that has galvanized a nation.Cullen unfolds the story of Parkland through the voices of key participants whose diverse personalities and outlooks comprise every facet of the movement. Instead of taking us into the minds of the killer, he takes us into the hearts of the Douglas students as they cope with the common concerns of high school students everywhere—awaiting college acceptance letters, studying for mid-term exams, competing against their athletic rivals, putting together the yearbook, staging the musical Spring Awakening, enjoying prom and graduation—while moving forward from a horrific event that has altered them forever.Deeply researched and beautifully told, Parkland is an in-depth examination of this pivotal moment in American culture—and an up-close portrait that reveals what these extraordinary young people are like as kids. As it celebrates the passion of these astonishing students who are making history, this spellbinding book is an inspiring call to action for lasting change.


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Wet A Line – On the Move – ICE TREK!
Don’t mess around this winter fishing the same old memories. Get on the move in style in the versatile ICE TREK skid fishhouses!


text: Stunning Earrings featuring Genuine Sleeping Beauty Turquoise set in Sterling Silver. The Sleeping Beauty Turquoise mine is located in Gila County, Arizona. The mine is now closed and the stones are obtained from private stashes. Created by Zuni Artist Roy Austin. Signed by the artist. The Zuni Pueblo is located in New Mexico, Land of Enchantment.


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AM London Locksmith has been delivering professional locksmith services in Croydon for years and you only need to have a quick read through our testimonials to see how many people we’ve helped. Whether you’re having problems with your access gate, need the locks changed in your apartment or want to take further security measures to keep your employees safe, we’re happy to help. As professional locksmiths covering all London areas, we’re fully certified, investing time and energy to improve our standard toolkits and our locksmithing techniques, materials, practices and technologies. Some of our standout features include a 24 hour emergency service, 30 minute response time, 10% discount for a website callout, a full range of British locks and a fully qualified locksmith delivering the best level of service. Having been going strong since 2008, we’ve helped a huge range of individuals overcome tricky problems and we can do the same for you. We pride ourselves on our service and our rapid response time so whatever sticky situation you’re in, stay calm, call us and we’ll be there within 30 minutes. If you need help fast, get in touch now on our emergency line: 02036249654. Contact us at: - Croydon 24 hours a day, 7 days a week and we guarantee a 30 minutes response time!
The majority of our work is centered on dealing with emergency lockout cases so we’re confident we’ll have the personnel and the equipment to assist you. If, in the very rare circumstance that we’re not able to provide a solution; you’ll get a full money-back guarantee. At AM London Locksmith we have a large team of professional locksmiths who regularly work in and around Croydon and the surrounding areas of South London. We really do work around the clock so whether the roads are covered in thick snow, the rain is pouring down or it’s 4am on Sunday morning, we’ll be there! Our huge range of services include burglary repair, door installation, lock change, lock replacement and door replacement whilst we’re also professional installers of security grilles and collapsible gates. Each and every one of our experienced locksmiths is trained to the highest standards. We feel it’s important to offer a solution for every problem, not just a select few. Rest assured whatever the issue is that you need to overcome; we’ve most probably been there and done the job before. Getting a quote with us is easy and you can do so by calling 02036249654 or by completing this quick and easy form.
Having helped many ‘Croydoners’ since we started out in 2008, we felt as though it was important to put together some prices so you know exactly what you get for your money and you can view those example packages here. These are for three of our most popular services but it is likely to give you an idea of the work and costs involved, whilst we’re happy to provide quotations for more complex problems. No matter what Locksmithing service you require in Croydon, we’re confident we can provide a fix in a flash. For any further advice or information, please feel free to get in touch with us by giving us a call or by dropping us a message.

industry_corpus2: Real Estate & Construction


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Looking for a new home in Celebration North Village Unit 03? It is a great time to buy real estate in Celebration North Village Unit 03 and our site is a great place to begin your search. You can check out Celebration North Village Unit 03 schools, market statistics, the latest listings and more. Whether you are a first-time home buyer or you are already familiar with the home buying process, you can be assured that you have the best tools and the perfect agent available to help with your Celebration North Village Unit 03 home search.
There are currently 7 Homes for sale in Celebration North Village Unit 03. The average price for Celebration North Village Unit 03 properties is $688,811which is 45% higher than all Homes within a 20 mile radius. The highest priced property in Celebration North Village Unit 03 is $875,000 while the lowest priced Home is listed at $375,000. Most of the properties available in Celebration North Village Unit 03 are Homes while there are other property types as well. Compared to last month, the average price of real estate in the area has gone up 100%.


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It is a known fact that we cannot turn back the hands of time. Aging is inevitable. As you age, your skin loses elasticity (due to depletion of collagen) and wrinkles begin to develop. This is also influenced by sun exposure, dietary habits and even smoking. While we cannot prevent aging, there are aesthetic non-surgical procedures that will help maintain a youthful appearance by temporarily blocking muscle contraction thereby resulting in visible smoothing of wrinkles.
Botox injections belong to a class drugs known as neurotoxins. Botulinum Toxin A is a highly purified protein that blocks nerve impulses that control muscle movement. Botox only works on dynamic wrinkles which are wrinkles that are caused by contraction of a muscle.
What are the areas commonly treated in aesthetics using Botox?
What precautions should I take before deciding on Botox?
Avoid alcoholic beverages at least 24 hours prior to treatment as alcohol may thin the blood and increase the risk of bruising.
Avoid anti-inflammatories ideally for a period of two weeks before treatment. Medications and supplementations such as aspirin, ibuprofen (advil, motrin), naproxen (alleve). Vitamin E, Gingko Biloba, St. John’s Wort. All these medications thin the blood and increase risk for bruising and swelling after injections.
Schedule your appointment at least 2 weeks prior to a special event ie. Wedding, vacation.
Temporary bruising, tenderness to local injection site, mild headache, swelling. These side effects should resolve within two days or so.
What are the contraindications for Botox treatment?
Lou Ghergi’s disease (ALS), Myastenia Gravis, Lambert Eaton Disorder, Multiple Sclerosis and Parkinson.
The number of botox units to be injected depends on the areas of concern to be treated. After Dr. Medina has discussed your treatment goals with you, she will map out with a white eyeliner the injection sites. The syringes will be drawn out and a small needle will be used to accurately deliver Botox to the muscles in your concern areas. You will be provided with post-treatment instructions. You will begin to notice results about 48 hours post-treatment, keep in mind it will take two weeks to notice full effect of the treatment.
Call Luminous Health & Wellness today at 806-831-8239 to discuss how a Botox® treatment can help you maintain a youthful appearance.


text: Hey my names Eric just joined on here, I live and been kiting in Florida for last 4 years on the water... Been goin on snowboarding trips for a while too and I'll bel going to Durango and telluride Colorado January 5 for two two weeks... Looking to see if I can meet some locals and get the down low on snow kiting as I've only ever rode on water and with a land board.. I'm looking at riding the reservoir as a possible good learning ground.. But would love to have the chance to attempt to go ride some other spots and especially have other people around me since my friendsp I'll be going to Colorado with only snowboard. Any info tips and advice Would be awesome!


text: The Colorado Avalanche had loads of chances from the Nashville Predators but wasn’t capable of finding a means to capitalize.The Avalanche had seven power-play probabilities in its contests in opposition to the Predators on Saturday but fell 5-2 as it couldn’t discover a strategy to score using the guy advantage. Heart Dominic Toninato manufactured his NHL debut from the contest for your Avs and took a hit on the head along the fifty percent wall just after staying boarded by Austin Watson. He immediately went to your dre sing space in just his 3rd change from the NHL, but he finished up currently being okay and was back again over the bench with the https://www.styleavalanche.com/colorado-avalanche-jersey/sven-andrighetto-jersey start on the second interval.”I just acquired strike,” Toninato claimed following the contest. “Hit the boards with my encounter. So, of course I had been a bit anxious, but arrived back again and we’re good.”He joined the Avalanche in Nashville following getting recalled by Colorado on Friday immediately after fellow rookie Vladislav Kamenev broke his arm from the contest towards the Washington Capitals on Thursday. It had been Kamenev’s initial contest with the Avalanche in only his 3rd NHL video game.The strike resulted in a very five-minute significant penalty for boarding and Watson was a se sed a video game misconduct. Subsequently, the Avs located them selves about the electric power play for that fourth time while in the initial 12 minutes from the contest.Colorado failed to choose benefit of its prospects within the first period and went scorele s right after 11 minutes truly worth of man benefits within the to start with frame.”We experienced a pair of grade-A scoring odds around the ability play,” explained ahead Gabriel Landeskog. “I bought one particular during the slot, but we just got being much better within the electricity play. I suggest we all know we’ve got been rather stable. I don’t determine what our share has become the last 10 video games to the electrical power engage in, but tonight we experienced odds and occasionally exclusive groups just isn’t clicking or there is certainly a goalie on the other side attempting to generate the saves. Tonight he was.”Going to the contest, Colorado experienced absent 15 for sixty nine (21.7 p.c) to the electricity engage in this year, the ninth very best from the NHL. The Avalanche experienced seven po sibilities while using the man benefit against Nashville but could not find the back again of the net.”Early while in the match, to start with couplehttps://www.styleavalanche.com/colorado-avalanche-jersey/nicolas-meloche-jersey electrical power plays there, we had a couple first rate appears for the net,” Avs head mentor Jared Bednar mentioned after the activity. “The one particular detail we didn’t do was we failed to get in front of [Pekka] Rinne for the screen. So, he was observing them. We experienced a couple of dangerous prospects, Landy place one off the shoulder from your middle of your ice, truly two.”He manufactured some nice will save and after that the entries and we had been a little bit stubborn on our breakouts and entries going into that five-minute electric power enjoy. We just failed to execute.”At the end of your initially, Alexander Kerfoot took a tripping penalty and also the Predators discovered the back again in the net 1 minute into their 1st electricity perform.”The turning point for me is we most likely make a blunder, or we do generate a oversight around the penalty destroy at the conclusion of the first period and so they get that a person,” Bednar claimed. “So, we turn out likely 0-for-3 with eleven minutes of power-play time and irritation is environment within a little little bit. Then they come correct again and score on their own 1st opportunity on the ability enjoy. And that finished up staying the turning point.”Nashville scored five straight goals, choosing up two power-play tallies in 4 po sibilities.In spite of the score, the Avalanche remained aggre sive through the contest.”I considered our compete stage was there,” claimed Landeskog. “I believed men were creating plays and working incredibly hard, so I do think genuinely the real difference will be the start off and the electric power plays that we just weren’t capable to capitalize on.”Colorado outshot the Predators 31-24 in the contest and had a 13-5 edge while in the cla s in the course of the third frame.Defenseman Andrei Mironov aided the Avalanche steer clear of becoming shutout by scoring his very first NHL intention with 5 minutes remaining during the video game and J.T. Compher created the rating 5-2 soon just after.”You obtained to like the guys not providing up,” Toninato mentioned once the match. “Obviously, we were being down five there late, and fellas trapped with it and we acquired a few. Ideally, we could use that to our advantage transferring forward.”Toninato centered a line with Sven Andrighetto and Nail Yakupov in his very first NHL outing and logged ten:20 of ice time.”I imagined [our chemistry] received superior through the entire total activity,” he mentioned of his linemates. “We started off off great correct away. I do not know, it had been just clicking proper from the hop.”Colorado captain Landeskog hasn’t noticed much of your rookie but was delighted with what he saw throughout the recreation. “I believed he was good,” explained Colorado captain Landeskog. “I believed he was solid suitable from the get go. Just a huge, potent centerman that you choose to know what you are going to get from him and i appreciated what I observed from him today.”Toninato has only played in one NHL match, and he’s now chomping within the little bit for the following one particular.”It was nice to have that to start with a person out of just how,” he mentioned. “Obviously, it wasn’t the result we wished, but we received another 1 tomorrow and hopefully we can easily get better.”Colorado will experience the Detroit Crimson Wings on Sunday to finish its fifth back-to-back set of the period.KERFOOTS MULTI-POINT EFFORTRookie forward Alexander Kerfoot registered two helps during the lo s, his fifth multi-point activity with the marketing campaign.In his very last six outings, Kerfoot has found the scoresheet more than when in a contest 4 situations, totaling 9 details (four plans, 5 helps) since Nov. four. He had a three-game intention streak and four-game level streak snapped when he didn’t register a point on Thursday from the team’s 6-2 acquire above the Washington Capitals.The Harvard graduate is 2nd to the Avalanche with seven objectives and is rated 3rd with fifteen factors.BARRIE Back again INTyson Barrie returned towards the lineup following lacking the Avs very last contest versus the Washington Capitals on Thursday with an upper-body personal injury.”I sense excellent. It was just that one thing was nagging me,” Barrie mentioned. “Took Rene Robert Jersey enough time off, and i experience a hundred % now.”He is ranked next to the crew in helps with 12 which is tied for fourth in team scoring with 14 factors. Barrie was about the ice for more than twenty minutes on Saturday and registered 3 shots on goal within the decline.


text: I intend using your 'AST for use with Depositguard. However, the monthly rent will be inclusive of utility bills. Is there any way I can edit the AST you provide in order to accommodate this? I would need to delete some of the clauses and include others. Basically, is there a facility for me to edit parts of the agreement that refers to utility bills?


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This is a recreation of the classic 1980's Boglins shirt. Six colors.
Hand silkscreened by the experts at Coast City Comics.


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There are around 4,000 children in England who need to be adopted every year, and many more who need fostering. According to adoption charity CoramBAAF, the average age at adoption in 2014-2015 was three years and three months. Here you can find information and useful links on Adoption and Fostering in Buckinghamshire.
Adoption and Fostering: What's the difference?
Adopting a child is when a court transfers all parental rights and responsibilities to you and your family and the child becomes part of your family.
Fostering is a way of providing safe and secure care for a child (or children) who cannot live within their own family. A fostered child remains the legal responsibility of the council and/or their birth parents and NOT the fosterer. A child is usually fostered until the age of 18.
Fostering Information sessions take place throughout the year for anyone interested in becoming a foster carer. You can chat to existing foster parents and the friendly fostering team.
Did you know that if you look after a child who isn’t a close relative or if you are not the parent, grandparent, aunt, uncle, brother or sister of that child and are looking after them for more than 28 days you could be in a private fostering arrangement?
The law says you should tell your local authority six weeks before the arrangement starts or certainly within 48 hours of it starting. This is to make sure formal checks can be carried out to ensure the child is safe and well looked after, getting to school and having their health needs met. It’s also to ensure the child, their parents and carers receive the support they need.
Private foster carers carry out an extremely important role for the children in their care and Buckinghamshire County Council has a duty to ensure all children needs are being met and that Children’s services are working with both parent and carer to ensure the well being of the child and to provide support and guidance to enable them to do this.