text:
Computer-assisted estimates for Birkhoff normal forms
A tale of two vortices: How numerical ergodic theory and transfer operators reveal fundamental changes to coherent structures in non-autonomous dynamical systems
Degree assortativity in networks of spiking neurons
Christian Bläsche , Shawn Means and Carlo R. Laing ,
School of Natural and Computational Sciences, Massey University, Private Bag 102-904 NSMC, Auckland, New Zealand
* Corresponding author: c.r.laing@massey.ac.nz
Degree assortativity refers to the increased or decreased probability of connecting two neurons based on their in- or out-degrees, relative to what would be expected by chance. We investigate the effects of such assortativity in a network of theta neurons. The Ott/Antonsen ansatz is used to derive equations for the expected state of each neuron, and these equations are then coarse-grained in degree space. We generate families of effective connectivity matrices parametrised by assortativity coefficient and use SVD decompositions of these to efficiently perform numerical bifurcation analysis of the coarse-grained equations. We find that of the four possible types of degree assortativity, two have no effect on the networks' dynamics, while the other two can have a significant effect.
Keywords: Neuronal networks, degree assortativity, theta neurons, Ott/Antonsen, bifurcation.
Mathematics Subject Classification: Primary: 92C20; Secondary: 92B25, 34B45, 34C15.
Citation: Christian Bläsche, Shawn Means, Carlo R. Laing. Degree assortativity in networks of spiking neurons. Journal of Computational Dynamics, 2020, 7 (2) : 401-423. doi: 10.3934/jcd.2020016
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Figure 1. Assortativity in undirected and directed networks. An undirected network (left column) is assortative if high degree nodes are more likely to be connected to high degree nodes, and low to low, than by chance (top left). Such a network is disassortative if the opposite occurs (bottom left). In directed networks (right column) there are four possible kinds of assortativity. The probability of a connection (red) is thus influenced by the number of red shaded links of the sending (left) and receiving (right) node
Figure 2. Orange circles: steady state of (19)-(20) for 20 different default networks. Blue circles: results from 50 different realisations of the $ \eta_i $ for (1)-(2), for each network. Parameters: $ \eta_0 = -2,\Delta = 0.1,K = 3 $. The orange line marks the ensemble mean value
Figure 3. Comparison of steady-state values of the order parameter (top: magnitude of $ R $; bottom: $ \mbox{Re}(R) $) over a suite of adjacency matrices with varied densities of multi-edge connections ranging from none to 97%. Higher densities of multi-edges were obtained, but assortativities exceeded the target neutral values of $ \pm 0.005 $. Values shown are from simulations of (1)-(2) after initial transients decay (i.e., time t $ \geq $ 40). Each of these 10 curves correspond to a unique realisation of default $ \eta $s from the distribution $ g(\eta) $. Parameters: $ N = 5000,\eta_0 = -2,\Delta = 0.1,K = 3,q = 2 $
Figure 4. Real part of $ z $ at steady state for 20 different default adjacency matrices (indicated by different colors), as the number of clusters in degree space is varied. Parameters: $ \eta_0 = -2,\Delta = 0.1,K = 3 $
Figure 5. Six largest singular values of the SVD decomposition of $ E $ as a function of assortativity coefficent, for 4 types of assortativity
Figure 6. Average firing rate at fixed points of (30)-(31) as a function of $ \eta_0 $, for the 4 types of assortativity. For each type of assortativity curves are plotted for $ r = 0 $ (black), $ r = -0.2 $ (blue) and $ r = 0.2 $ (green). Solid lines indicate stable and dashed lines unstable fixed points. Parameters: $ K = 3,\Delta = 0.1 $
Fig. 6 as $ r $ is varied. Curves in Figure 6 correspond to vertical slices at $ r = 0,\pm 0.2 $. The network is bistable in region $ B $ and has a single stable fixed point in regions A and C">Figure 7. Continuation of the saddle-node bifurcations seen in the upper two panels of Fig. 6 as $ r $ is varied. Curves in Figure 6 correspond to vertical slices at $ r = 0,\pm 0.2 $. The network is bistable in region $ B $ and has a single stable fixed point in regions A and C
Figure 8. Average firing rate at fixed points of (30)-(31) as a function of $ \eta_0 $, for the 4 types of assortativity. For each type of assortativity curves are plotted for $ r = 0 $ (black), $ r = -0.2 $ (blue) and $ r = 0.2 $ (green). In addition there are oscillations in certain regions and dash-dotted lines outline the minimal and maximal firing rate over one period of oscillation. The (in, in)-plot in the top left corner contains a zoom of rest of the panel, and the (out, in)-plot contains a subplot with the oscillation's period for $ r = 0 $ and which is aligned with the outer $ \eta_0 $ axis
Fig. 8. Solid black lines indicate saddle-node bifurcations, dashed blue is a Hopf bifurcation and dashed red a homoclinic bifurcation. Curves in Figure 8 can be understood as vertical slices through the respective plot at $ r = 0,\pm 0.2 $. See text for explanation of labels">Figure 9. Continuation of bifurcations seen in upper panels of Fig. 8. Solid black lines indicate saddle-node bifurcations, dashed blue is a Hopf bifurcation and dashed red a homoclinic bifurcation. Curves in Figure 8 can be understood as vertical slices through the respective plot at $ r = 0,\pm 0.2 $. See text for explanation of labels
Figure 10. Permutation method initial matrices illustration. Top: $ A^{(0)} $ showing arrangement of edge entries (all solo connections: $ \rho_{m}^{+} = 0 $) for each row aligned left where row sums add up to $ k_{in} $. If multi-edges are desired, we simply distribute them in the rows of $ A^{(0)} $ satisfying the proportion, $ \rho_{m}^{+} = 0 $ and the row sum. Bottom: permutation of rows in $ A^{(0)} $ into this example $ A^{(1)} $. Note row sums still add up to $ k_{in} $, with column sums adding to a current $ k_{out}^{(1)} $ — likely violating the designated $ k_{out} $
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Christian Bläsche Shawn Means Carlo R. Laing


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Asking respondents to predict the success of an idea or option may provide a more accurate market response than asking them what they prefer. In my experience, incorporating this new question style into your next customer survey can lead to better response differentiation and reduced overstatement.
If you are interested in ways to improve the quality of the data from your customer research, I recommend that you check out the full article on the growing popularity of prediction markets.


The 2018 ICPC Asia-East Continent Final has ended on last Sunday. At this site, over 380 teams have competed in 5 hours, trying to solve 12 problems.
The problems are prepared by CommonAnts, Claris and me. Thanks to skywalkert, quailty, zscc, yefllower,niike0goood, AHdoc, C_SUNSHINE for discussing and testing the problems, whzzt, yjq_naiive, fjzzq2002 for their amazing performance in the test contest.
Moreover, special thanks to CommonAnts, skywalkert, C_SUNSHINE, Claris, niike0goood for preparing the statement. To ensure the correctness of the statement, they updated it for over 180 times before the conetst. Thanks a lot for their efforts.
Although I had set 6 ICPC contests before, I felt a lot of difference between official contests and online contests during the process of preparing. In response to the responsibility, we tried our best to seek out the most interesting tasks and to make a tradeoff between difficulty and discrimination.
One is this week's OpenCup. The contest will start on Sunday, December 23, 2018 at 16:00 (UTC+8) .
The other will be held on Codeforces. In our plan, the contest will start on Saturday, December 29, 2018 at 18:00 (UTC+8). The contest follows the ICPC rule and it will be unrated.
Besides, we kindly ask everybody who has already read the problems not to participate or discuss solutions in public before the OpenCup contest has ended. Your cooperation will be greatly appreciated.
Update: Since the external storage of GYM is not responding for nearly one week, the mirror contest on Codeforces may not be held today as planned. We are so sorry about this delay. We will confirm another date for the mirror contest and update this blog once after the external storage is on.
A simple introduction to "Segment tree beats"
This blog is just a back up of http://codeforces.com/blog/entry/57319 to prevent this tutorial from discarding after jiry_2 is banned.
Hi, I'd like to introduce a simple trick about segment tree in this blog as I promised in this comment. Sorry for the long delay, as a sophomore in Peking University, I've just finished a tired semester and a painful final exam. And now I finally have enough time to do a simple introduction to this interesting algorithm.
In China, all of the 15 candidates for the Chinese National Team are asked to write a simple research report about algorithms in informatics Olympiad, and the score will be counted in the final selection. There are many interesting ideas and algorithms in these reports. And I find that some of them are quite new for competitors in CF although they are well known in China from the final standings of some recent contests. For example, In the last contest CF Round #458, the problem G can be easily solved using "power series beats" (Thanks for matthew99 to give this name :)) in O(2nn2) which was imported in China by Vfleaking in 2015.
This blog is about my report which is written about two years ago. I am satisfied with this work although there is a flaw about time complexity. xyz111 gave me a lot of inspiration, and the name "Segment tree beats" is given by C_SUNSHINE which is from a famous Japanese anime "Angel Beats".
Here is the link about the Chinese version of this report.
Part1. What it can do.
Transform history max/min/sum queries into interval max/min operations in O(1).
Here are some sample problems I used in my report. At first you have a array A of length n and two auxiliary arrays B, C. Initially, B is equal to A and C is all zero.
After each operation, for each i, if Ai changed in this operation, add 1 to Bi.
It's time complexity is the same as Task 2.
Task 4. We can also deal with several arrays synchronously. Assume there are two arrays A1 and A2 of length n.
It can be solved in and if there are k arrays, the time complexity will be raised to .
Task 5. And there are some tasks about historic information.
For all , change Ai to Ai + x, x can be a negative number.
Query for the sum of Bi in [l, r].
After each operation, for each i, change Bi to max(Bi, Ai) and add Ai to Ci.
The query for Bi can be solved in and the query for Ci can be solved in .
Task 6. We can even merged the two parts together.
After each operation, for each i, change Bi to min(Bi, Ai).
It can be solved in .
There are 11 sample tasks in my report and here are 6 of them. All of them are interesting and are hard to solve using the traditional techniques such as lazy tags.
To make the description clearer, I think it's better to introduce an extended segment tree template.
When the operation's interval and the node's interval are no longer intersected, the information inside this subtree must not be affected. So we can return immediately.
When the node's interval is contained by the operation's interval, all the information inside the subtree will be changed together. So we can put the tag on it and return.
What's the use of such a modification? In some advanced data structure tasks, it's impossible for us to put tags in such a weak condition l >= ll && r <= rr. But we can put it when the condition is stronger. We can use this template to deal with this kind of tasks but we need to analyze the time complexity carefully.
It's a classic problem (it's the simple extension of 438D - The Child and Sequence) and the traditional solution is to use balanced tree such as splay/treap to maintain the continuous segments with the same Ai and for operation 2, we find out all the segments with Ai ≥ x and change the value of each one.
But if we use segment tree, we can get a much simpler solution: let break_condition be l > rr || r < ll || max_value[node] < x and let tag_condition be l >= ll && r <= rr && max_value[node] == min_value[node]. And we can find that the time complexity of this segment tree is also .
And now, we can easily describe the main idea of "segment tree beats". For each node, we maintain the maximum value max_value[node] and the strict second maximum value second_value[node].
When we are doing the interval min operation for number x. let break_condition be l > rr || r < ll || max_value[node] <= x and let tag_condition be l >= ll && r <= rr && second_value[node] < x. Under such an condition, after put this tag, all of the maximum values inside this subtree will be changed to x and they are still the maximum values of this subtree.
To make it easier to merge with other operations, we can maintain the values in this way: For each node, we maintain the maximum value inside this subtree and other values separately (the maximum values are the first kind and others are the second). Then, interval max operation will be changed to "add a number to the first kind values in some intervals". Keep the meanings of each kinds of values and the tags, you will find that the processes of pushdown and update will be much clearer.
That's the main idea of the first part of "segment tree beats". It is very simple, right? And it also has a very nice time complexity. (I will give out the proof of the time complexity in the third part of this article).
And let's see the first two sample tasks in part 1.
Task 1. In this task, we can maintain the number of the first kind of values inside each node t[node], and when we put tag "add x to the first kind values in this subtree", the sum will be added by t[node] * x. Then we can easily maintain the information we need.
historic sum: after each operation, add Ci by Ai.
For all , change Ai to Ai + x.
For all , change Ai to max(Ai - x, 0).
For all , change Ai to x.
After each operation, change Bi to max(Bi, Ai).
To solve this task, ordinary segment tree is enough. But It's not easy to deal with the relationship between the lazy tags and the historic information. I think it's a good sample problem to show the features of historic information.
In this problem, the lazy tag is a function fa, b(x) = max(x + a, b). The first operation is fx, + ∞, the second operation is fx, 0, and the third operation is f - ∞, x.
And these tags can be merged: fa, b(fc, d(x)) = max(max(x + c, d) + a, b) = max(x + a + c, max(a + d, b)) = fa + c, max(a + d, b). Then we can easily maintain the current value of each node.
How about the historic maximum value? What if we just maintain a historic maximum value Hi on each leaf and make Hi = max(Hi, fa, b(Ci)) (Ci is the current value) after putting tag fa, b? Unfortunately, it's wrong. We all know that the main idea of lazy tags is delaying the operation. When we push down a lazy tag, it may contain the information of many operations. So we could not maintain the historic value this way because we will lose the information of the versions which are delayed by lazy tags.
A good way is to maintain another tag on each node: historic maximum tag: It is a function h(x) which means if the value before pushdown is x, then after pushdown, the maximum value among these blocked version is h(x).
Sometimes we can not maintain this function, but fortunately, in this problem, we can. h(x) also has the form fa, b(x)(ha, b(x)) and this tag can also be merged. After push down the tag (fa, b(x), hc, d(x)) to a node in which the old tag is (fe, f(x), hg, h(x), the historic maximum tag will be changed to max(hg, h(x), hc, d(fe, f(x))). The following picture shows that this function also has the form fa, b(x).
Thus, we can just use tags and ordinary segment tree to solve this problem in .
We have already gotten the way to deal with the interval min/max operations. And they are good tools to maintain historic information.
Historic maximal value: let Di = Bi - Ai. Then if we change Ai to Ai + x, Di will be changed to max(Di - x, 0).
Historic minimal value: let Di = Bi - Ai. Then if we change Ai to Ai + x, Di will be changed to min(Di - x, 0).
Historic sum: let Di = Ci - tAi while t is the current operation id. Then if we change Ai to Ai + x, Di will be changed to Di - (t - 1)x.
We can use the technique introduced in the previous part about interval min/max operations to maintain the sum of Di. And then we could get the sum of Bi or Ci.
What's more, since we have already transformed interval min/max operations to interval add/subtract operations, we can also maintain the interval sum of historic information under interval min/max operations (Part1. Task 6). This is a simple expansion and I think it's better to leave it as an exercise.
In this part, I will give the proofs of the time complexity of Part 1 Task 1 and Part 1 Task 2. You can find that the proof of Task 2 is universal: it is equally applicable to Task 3 to Task 5. And Task 6 can be regarded as two layer nested "segment tree beats". It's time complexity can be proved using the same way as Task 2.
In this part, we will proof the algorithm showed in Part 2 of this problem is : interval min operation, query for the interval sum.
gepardo has given a clear proof to show the time complexity of this problem is in this comment. Here, I'd like to show another proof which is much more complex. But I think it is my closest attempt to proof Task 2 is . And this proof will show the relationship between "segment tree beats" and the solution of this problem given by xyz111 (you can find this solution in this website. The name of this problem is "Gorgeous Sequence" and the solution is written in English).
The left picture shows the maximum value of each node in a segment tree of array [1, 2, 4, 3]. And the left picture is the tags.
After the transformation, we can find that the strict second maximum value we maintained is just the maximum tag inside each subtree.
One important property of these tags is each tag is strictly greater than the tags inside its subtree. But why this property still holds after interval min operations? Consider the difference between this algorithm with the original segment tree: We will visit more nodes when second_value[node] >= x. This process ensure that we will put a tag only if all the tags inside this subtree is smaller than the new tag, i.e., we visit these large tags and delete them.
All the tags added in the same interval min operation belong to the same tag class.
After a pushdown, the new tag belongs to the same tag class as the old tag.
Any two tags which do not satisfy above two conditions belong to different tag classes.
And we can divide the nodes we visit in a single interval min operation into two sets: ordinary nodes and extra nodes. Ordinary nodes are those nodes which an ordinary segment tree also visit in an operation of [l, r], and extra nodes are those nodes which we visit because the stronger break_condition.
Then, let w(T) (T is a tag class) be the number of nodes which has at least one tag in T inside its subtree, and let the potential function Φ(x) be the sum of w(T) for all existing T.
After a pushdown(), the old tag will be pushed down to two children of node, so Φ(x) will be increased by 2.
The new tag will occur on only ordinary nodes. So for the new tag class T, w(T) is . Since the number of ordinary nodes is .
The reason we visit an extra node is that we need to delete some tags inside its subtree. And a clear fact is that if we delete a tag in tag set T inside a subtree, all the tags in T inside this subtree will be also deleted. So, after visiting each extra node, Φ(x) will be subtract by at least 1.
Since the total increase of Φ(x) is and each extra node will subtract 1 from Φ(x), we know that the time complexity is .
You may find that this potential function is just the same as the proof given by [usr:gepardo]. But using tags can bring us much more useful properties, and we can come up with some useful potential functions from the tags of which the definitions can be very strange if we want to define them just from the values. You may see it from the proof of the task 2.
In this task, we will still use the tags defined in previous proof, and the potential function we choose is a little strange: let d(t) ( t is a tag ) be the depth of t in the segment tree and Φ(x) be the sum of d(t) for all existing tags. And since d(t) is and the number of the tags is no more than n. So the initial value of Φ(x) is .
After an interval min operation, there will be no tags on the extra nodes. So we can just consider pushdown on ordinary nodes (For the interval add/subtract operations, we visit only ordinary nodes, so the following discussion is still correct) . And after a pushdown, the old tag will be pushed down to the two children of node, and Φ(x) will be added by . Since there are ordinary nodes, pushdown will make Φ(x) increased by each interval min operation.
The new tag will occur on only ordinary nodes, so it will also make Φ(x) increased by .
Each extra node will make Φ(x) decreased by 1 because there must be a tag deeper than this node which is deleted after this operation.
Since the total increase of Φ(x) is and each extra node will subtract 1 from Φ(x), we prove that the time complexity is .
What's more, in this proof, we do not use any special properties of interval add/subtract operation. So the proof is still hold for other operations. That's why I call this proof universal.
Server time: Apr/23/2019 10:08:01 (g2).


text:
Emergency room visits risky for elderly residents from long-term care facilities
McGill University Health Centre
This press release is available in French.
Montreal -- Elderly patients who have visited an emergency department (ED) are three times more likely to develop respiratory or gastrointestinal infections in the week following their return to a long-term care facility, such as a Centre d'Hébergement de Soins de Longue Durée (CHLSD). These are the findings of a new Canadian study published in the Canadian Medical Association Journal today.
"There certainly seems to be a benefit to isolating residents in the 7 days following their return to a long-term care facility, said Dr. Caroline Quach, an infectious disease specialist from the McGill University Health Centre (MUHC) and the Research Institute of the MUHC and lead author of the study. "In addition to endangering other resident's health, outbreaks generate a significant workload and financial cost to the healthcare facility."
The study, which was conducted from September 2006 to May 2008, involved more than 1200 residents of 22 different long-term care facilities in Quebec and Ontario. ED visits took place during the winter months, when respiratory and gastrointestinal infections are most likely. "Following their visit to the ED during the winter, residents were three times more likely to develop symptoms of new infection, and this only in the absence of other infectious disease outbreaks in their CHLSDs," said Dr. Quach.
"Our challenge as health professionals is to enhance our ongoing efforts in the implementation of and adherence to, infection control policies. We also may want to take further infection control measures upon the return of residents in CHLSDs," explained Dr. Quach.
"Infection control has been a major priority in our planning for the Glen site," concluded Jean-Marc Troquet, chief of emergency medicine at the MUHC adult sites. "The results of this study confirm what we all suspected and validate our decision to design the ED at the Glen with individual patient rooms."
About this study:
The study, Risk of infection following a visit to the emergency department: a cohort study, was coauthored by Caroline Quach (MUHC/McGill/INSPQ); Margaret McArthur and Allison McGeer (Mount Sinai Hospital, University of Toronto), Lynne Li (MUHC/McGill); Andrew Simor (Sunnybrook Health Sciences Center, University of Toronto); Marc Dionne (INSPQ); Edith Lévesque (CSSS, Rivière-du-Loup); Lucie Tremblay (Maimonides Geriatric Center, Montreal).
Partners in research:
This work was supported by funds from The Canadian Patient Safety Institute (CPSI), the Quebec Ministry of Health and the Canadian Institutes for Health Research (CIHR).
Cited study: http://www.cmaj.ca
Research Institute of the MUHC (RI-MUHC): http://www.muhc.ca/research/dashboard
McGill University Health Centre (MUHC): http://www.muhc.ca
Julie Robert
Public Affairs & Strategic Planning
514 934-1934 ext. 71381
julie.robert@muhc.mcgill.ca
514-934-1934 x71381
@cusm_muhc
http://www.muhc.ca/
Canadian Patient Safety Institute, Quebec Ministry of Health, Canadian Institutes for Health Research
CRITICAL CARE/EMERGENCY MEDICINE
HEALTH CARE SYSTEMS/SERVICES
INFECTIOUS/EMERGING DISEASES

redpajama_set_name: RedPajamaCommonCrawl


text:
Q: How to validate XML file in C#2.0 I need help on how to validate Xml file simply?
I googled and found some tutorial said about developer can validate XML file based on an exist XSD schema file.(as below snppet).
For my case, I don't have an Xsd file. What can I do? Must I generate an Xsd file with a tool like XSD.exe?
    XmlReaderSettings settings = new XmlReaderSettings();
    settings.ValidationType = ValidationType.Schema;
    settings.Schemas.Add("", "c:\mySchema.xsd");
    settings.ValidationEventHandler += new ValidationEventHandler(OnValidationError);
    XmlReader reader = XmlReader.Create("", settings);
    XPathDocument doc = new XPathDocument(reader);
    XPathNavigator navigatore = doc.CreateNavigator();

Actually the validation what I need is a very simple usage. Just make sure all the xml listed items/inner sub-items are paired. I will open and write my XML, but my XML can't be written successfully for some reason some time. Then when I load my XML next time, my Application will throw exception. That's why I need validate my xml file before load it.
Appreciated for your comments and suggestions.

A: If you don't have an xsd you should create one.  If you are trying to validate any specific structure this is your best option.
If you just want to make sure a document is made up of valid XML you could get away with not having one but if you care about the schema then you must create a schema definition.
You can write your own XSD or use any number of tools.  My advice is to write your own.  It's not hard and it's worth knowing how to do.
Here is a link to get you started:  http://www.w3schools.com/schema/default.asp

redpajama_set_name: RedPajamaStackExchange


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Complete Microsoft Inspire 2017 coverage here.
Microsoft has unveiled a new program that would let ISVs developing on Azure to bolt other Microsoft solutions onto their applications.
The ISV Cloud Embed program was announced Monday as part of the Microsoft Inspire partner conference, taking place this week in Washington, D.C. The program is designed to help ISVs "modernize their existing business applications, and build new ones," Microsoft said in its announcement.
Under the terms of the program, Microsoft ISVs will be able to embed some of Microsoft's key business productivity solutions -- including Dynamics 365, Microsoft Flow and PowerApps -- into their own applications at a discount of up to 50 percent.
The program, which Microsoft said will take more shape "later this year," is effectively an expansion of an existing offering around Power BI, which Microsoft already allows partners to include in their applications.
Microsoft is promising a variety of benefits for qualifying ISVs, including exposure to more customers via the AppSource directory.
"ISV Cloud Embed -- like all Microsoft partner programs -- delivers increased benefits based on usage and deal transaction volume. Go to market support is provided at all tiers. For partners whose apps drive significant consumption, we offer co-selling support from one of the world's largest enterprise salesforces," Microsoft said.
Interested partners can sign up for the ISV Cloud Embed program by filling out this form.


text:
Home > Our insight > Collective Intelligence > Cash-rich Islamic State may have stashed up to $300 million in hopes of fighting on
07.04.2019 | Cash-rich Islamic State may have stashed up to $300 million in hopes of fighting on
While the group no longer has the billions it earned through extortion and smuggling, it has salvaged enough to remain a serious threat.
Click here to read the Alaco article in Business Insider.
Islamic State (IS) has amassed a war chest of as much as several hundred million pounds and continues to exploit a string of revenue streams that are likely to enable the group to finance a covert network in Iraq, Syria and further afield despite the complete physical collapse of its so-called caliphate.
IS's reserves of cash are a fraction of what they were at the height of its power in 2015, when the jihadists' control of almost half of Iraq and Syria enabled them to accrue around $6 billion, according to the International Institute for Strategic Studies. Other sources have said their money was derived through taxation, extortion, theft and oil smuggling. Yet the sums now believed to be at the group's disposal mean it will remain a well-funded terrorist organisation for some time to come.
Following the fall of IS's last stronghold in eastern Syria, international efforts to squeeze its sources of finance will be stepped up in order to thwart any attempt by the group to support and mobilise cells in the region - where it can reportedly call on 14,000 to 18,000 militants, according to a report from VOA citing U.N. counterterrorism chief Vladimir Voronkov.
Some of these loyalists are suspected of being behind recent lethal attacks that left 10 dead in the vicinity of Mosul and Kirkuk. In February, the Pentagon's internal watchdog agency warned that IS was already regrouping in Iraq, and was capable of mounting a resurgence in Syria within 6 to 12 months, unless it came under sustained pressure.
A UN Security Council report in February said that some member states reported that IS has access to financial reserves of between $50 million and $300 million and that, though it has lost some sources of revenue through battlefield defeats, it now has fewer liabilities: the collapse of its self-proclaimed state has freed up funds that would otherwise be spent on officials' salaries and public services.
The UN believes the group has "bulk-stored cash" in its former strongholds and smuggled some into neighbouring countries for safekeeping, with a proportion invested in legitimate businesses. These are reported to include hotels, real estate companies, farms and car dealerships in the Middle East region.
Nearly two years ago, Alaco learned from European and American diplomats that IS was channelling funds to jurisdictions beyond Iraq and Syria. The process was likely conducted through small financial services companies - such as money transfer operations and boutique banks - which receive little regulatory scrutiny and do not have in place the kind of safeguards that mainstream banks have. In effect, it has been employing methods typically used by organised crime groups to launder assets through relatively small enterprises from which money can be retrieved without arousing suspicion.
The UN report said that while IS no longer has reliable access to oil-producing areas in eastern Syria for direct extraction, it "earns more revenue by extorting oil cargoes extracted by others", with unregistered money-service businesses remaining the primary means of transferring its funds.
IS cells, the report continues, are expected to be self-financing through a variety of activities, including extortion, kidnapping for ransom or other criminal activity. Indeed, the UN said there are reports that the group retains intelligence on local communities that could be used in future to "extort or otherwise extract financing from areas previously under its control".
As reconstruction gets under way in Syria and gains momentum in Iraq, the RAND Corporation's Colin P. Clarke, writing in Foreign Policy recently, suggested IS may seek to extort money from officials linked to projects and insert their own operatives into supply chains, pocketing money at each stage of the process.
Indeed, the UN report said a document obtained by one member state described IS' post-caliphate objectives as undermining stabilisation and reconstruction activities, targeting infrastructure rebuilding efforts and generally thwarting economic progress.
A US Treasury national terrorist finance risk assessment for 2018 said IS financiers and supporters are seeking to access US and international financial systems, both directly and indirectly, to move funds in support of the group and its regional affiliates around the world.
Throughout 2018, the Department of Treasury and State targeted IS branches, facilitators and networks in Bangladesh, Iraq, Somalia, the Philippines and across West and North Africa. In a major recent sting in October, a joint operation by Iraqi and Kurdish forces, supported by US-led Coalition Forces, broke up what was seen as a key IS financial network based in Baghdad and Erbil.
Citing US law enforcement, the risk assessment report said that while some terrorists (especially core Al-Qaeda operatives) have avoided regulated financial institutions - as they believe transactional information could be used to track their activities - some IS-inspired supporters have displayed less concern over operational security and are more willing to use such institutions.
The UN report said member states in or neighbouring the conflict zones of the Middle East continue to take steps to counter the two-way flow of funds controlled by, or linked, to IS, but many lack expertise in countering terrorism financing, preventing them from "fully investigating and prosecuting terrorism-financing offences".
The findings are supported by the watchdog Financial Action Task Force, which seeks to curb money laundering and terrorism finance. It said in February that nearly two-thirds of countries it has assessed are still not taking effective action to investigate and prosecute terrorist financing. A Security Council resolution late last month ordering UN member states to introduce laws criminalising the funding of terror groups may prompt action, as the measure can be enforced through sanctions.
Despite its comprehensive military defeat, IS remains a threat in the Middle East and internationally with the capacity to sow mayhem as an underground terrorist organisation, due in large part to its monetary reserves. The focus of efforts to stem the group now looks set to switch from a military struggle to a hunt for its funds and financiers. The US is once again taking the lead but evidence suggests that not everyone is onside.


Many would agree that the junior high years have the potential to be the most influential time in one's life. It is with this in mind that we approach this group with prayer and intention. We recognize that this time optimizes the transition from childhood to adulthood, and while this season is often termed "adolescence" we find no Biblical basis for this designation. For this reason, we view junior high ministry as the beginnings in the training of Biblical manhood and womanhood.


Many of the services conducted at SsAM are based on the Book of Common Prayer. There are numerous services in the book for various occasions such as Holy Eucharist, Evening Prayer, Special Feast Days, Funerals, Weddings, Baptisms, Confirmation, to name a few. For each service, a liturgical structure is given along with options for customization. There are various choices and suggestion for scripture reading, canticles, hymns and prayers.
Episcopal services are similar to those of the Roman Catholic Church and to many Protestant denominations, all based on ancient tradition. If you are familiar with those services, ours will not seem new to you. But even lifelong Episcopalians find themselves wondering about parts of the service. If you have a question, feel free to ask your neighbor in the pew, or ask the priest, or explore one of the links below. Also, click here to take a look at our philosophy on liturgical design.
In addition to the prayers from the Book of Common Prayer and those written by congregation member Christina Brennan Lee, we hope you will pray these prayers throughout the week.
The following links take you to websites that explain worship in most Episcopal/Anglican churches. These sites were not created by The Episcopal Church of Saints Andrew and Matthew, but are consistent with our philosophy and practices.


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text:
package com.streamsets.datacollector.client.api;

import com.streamsets.datacollector.client.ApiException;
import com.streamsets.datacollector.client.ApiClient;
import com.streamsets.datacollector.client.Configuration;
import com.streamsets.datacollector.client.Pair;
import com.streamsets.datacollector.client.TypeRef;

import com.streamsets.datacollector.client.model.Order;
import com.streamsets.datacollector.client.model.PipelineConfigurationJson;
import com.streamsets.datacollector.client.model.PipelineEnvelopeJson;
import com.streamsets.datacollector.client.model.PipelineInfoJson;
import com.streamsets.datacollector.client.model.PipelineOrderByFields;
import com.streamsets.datacollector.client.model.RuleDefinitionsJson;

import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

public class StoreApi {
  private ApiClient apiClient;

  public StoreApi() {
    this(Configuration.getDefaultApiClient());
  }

  public StoreApi(ApiClient apiClient) {
    this.apiClient = apiClient;
  }

  public ApiClient getApiClient() {
    return apiClient;
  }

  public void setApiClient(ApiClient apiClient) {
    this.apiClient = apiClient;
  }

  /**
   * Find Pipeline Configuration by name and revision
   *
   * @param pipelineId
   * @param rev
   * @param get
   * @param attachment
   * @return PipelineConfigurationJson
   */
  public PipelineConfigurationJson getPipelineInfo (String pipelineId, String rev, String get, Boolean attachment)
      throws ApiException {
    Object postBody = null;
    byte[] postBinaryBody = null;

    // verify the required parameter 'pipelineId' is set
    if (pipelineId == null) {
      throw new ApiException(400, "Missing the required parameter 'pipelineId' when calling getPipelineInfo");
    }

    // create path and map variables
    String path = "/v1/pipeline/{pipelineId}".replaceAll("\\{format\\}","json")
        .replaceAll("\\{" + "pipelineId" + "\\}", apiClient.escapeString(pipelineId.toString()));

    // query params
    List<Pair> queryParams = new ArrayList<Pair>();
    Map<String, String> headerParams = new HashMap<String, String>();
    Map<String, Object> formParams = new HashMap<String, Object>();

    queryParams.addAll(apiClient.parameterToPairs("", "rev", rev));

    queryParams.addAll(apiClient.parameterToPairs("", "get", get));

    queryParams.addAll(apiClient.parameterToPairs("", "attachment", attachment));

    final String[] accepts = {
        "application/json"
    };
    final String accept = apiClient.selectHeaderAccept(accepts);

    final String[] contentTypes = {

    };
    final String contentType = apiClient.selectHeaderContentType(contentTypes);

    String[] authNames = new String[] { "basic" };

    TypeRef returnType = new TypeRef<PipelineConfigurationJson>() {};
    return apiClient.invokeAPI(path, "GET", queryParams, postBody, postBinaryBody, headerParams, formParams, accept,
        contentType, authNames, returnType);
  }

  /**
   * Add a new Pipeline Configuration to the store
   *
   * @param pipelineId
   * @param description
   * @param autoGeneratePipelineId
   * @return PipelineConfigurationJson
   */
  public PipelineConfigurationJson createPipeline (
      String pipelineId,
      String description,
      boolean autoGeneratePipelineId
  ) throws ApiException {
    Object postBody = null;
    byte[] postBinaryBody = null;

    // verify the required parameter 'pipelineId' is set
    if (pipelineId == null) {
      throw new ApiException(400, "Missing the required parameter 'pipelineId' when calling createPipeline");
    }

    // create path and map variables
    String path = "/v1/pipeline/{pipelineId}".replaceAll("\\{format\\}","json")
        .replaceAll("\\{" + "pipelineId" + "\\}", apiClient.escapeString(pipelineId.toString()));

    // query params
    List<Pair> queryParams = new ArrayList<Pair>();
    Map<String, String> headerParams = new HashMap<String, String>();
    Map<String, Object> formParams = new HashMap<String, Object>();

    queryParams.addAll(apiClient.parameterToPairs("", "description", description));

    queryParams.addAll(apiClient.parameterToPairs("", "autoGeneratePipelineId", autoGeneratePipelineId));

    final String[] accepts = {
        "application/json"
    };
    final String accept = apiClient.selectHeaderAccept(accepts);

    final String[] contentTypes = {

    };
    final String contentType = apiClient.selectHeaderContentType(contentTypes);

    String[] authNames = new String[] { "basic" };

    TypeRef returnType = new TypeRef<PipelineConfigurationJson>() {};
    return apiClient.invokeAPI(path, "PUT", queryParams, postBody, postBinaryBody, headerParams, formParams, accept,
        contentType, authNames, returnType);
  }

  /**
   * Update an existing Pipeline Configuration by name
   *
   * @param pipelineId
   * @param pipeline
   * @param rev
   * @param description
   * @return PipelineConfigurationJson
   */
  public PipelineConfigurationJson savePipeline (
      String pipelineId,
      PipelineConfigurationJson pipeline,
      String rev,
      String description
  ) throws ApiException {
    Object postBody = pipeline;
    byte[] postBinaryBody = null;

    // verify the required parameter 'pipelineId' is set
    if (pipelineId == null) {
      throw new ApiException(400, "Missing the required parameter 'pipelineId' when calling savePipeline");
    }

    // verify the required parameter 'pipeline' is set
    if (pipeline == null) {
      throw new ApiException(400, "Missing the required parameter 'pipeline' when calling savePipeline");
    }

    // create path and map variables
    String path = "/v1/pipeline/{pipelineId}".replaceAll("\\{format\\}","json")
        .replaceAll("\\{" + "pipelineId" + "\\}", apiClient.escapeString(pipelineId.toString()));

    // query params
    List<Pair> queryParams = new ArrayList<Pair>();
    Map<String, String> headerParams = new HashMap<String, String>();
    Map<String, Object> formParams = new HashMap<String, Object>();

    queryParams.addAll(apiClient.parameterToPairs("", "rev", rev));

    queryParams.addAll(apiClient.parameterToPairs("", "description", description));

    final String[] accepts = {
        "application/json"
    };
    final String accept = apiClient.selectHeaderAccept(accepts);

    final String[] contentTypes = {
        "application/json"
    };
    final String contentType = apiClient.selectHeaderContentType(contentTypes);

    String[] authNames = new String[] { "basic" };

    TypeRef returnType = new TypeRef<PipelineConfigurationJson>() {};
    return apiClient.invokeAPI(path, "POST", queryParams, postBody, postBinaryBody, headerParams, formParams, accept,
        contentType, authNames, returnType);
  }

  /**
   * Delete Pipeline Configuration by name
   *
   * @param pipelineId
   * @return void
   */
  public void deletePipeline (String pipelineId) throws ApiException {
    Object postBody = null;
    byte[] postBinaryBody = null;

    // verify the required parameter 'pipelineId' is set
    if (pipelineId == null) {
      throw new ApiException(400, "Missing the required parameter 'pipelineId' when calling deletePipeline");
    }

    // create path and map variables
    String path = "/v1/pipeline/{pipelineId}".replaceAll("\\{format\\}","json")
        .replaceAll("\\{" + "pipelineId" + "\\}", apiClient.escapeString(pipelineId.toString()));

    // query params
    List<Pair> queryParams = new ArrayList<Pair>();
    Map<String, String> headerParams = new HashMap<String, String>();
    Map<String, Object> formParams = new HashMap<String, Object>();

    final String[] accepts = {
        "application/json"
    };
    final String accept = apiClient.selectHeaderAccept(accepts);

    final String[] contentTypes = {

    };
    final String contentType = apiClient.selectHeaderContentType(contentTypes);

    String[] authNames = new String[] { "basic" };

    apiClient.invokeAPI(path, "DELETE", queryParams, postBody, postBinaryBody, headerParams, formParams, accept,
        contentType, authNames, null);
  }

  /**
   * Find Pipeline Rules by name and revision
   *
   * @param pipelineId
   * @param rev
   * @return RuleDefinitionsJson
   */
  public RuleDefinitionsJson getPipelineRules (String pipelineId, String rev) throws ApiException {
    Object postBody = null;
    byte[] postBinaryBody = null;

    // verify the required parameter 'pipelineId' is set
    if (pipelineId == null) {
      throw new ApiException(400, "Missing the required parameter 'pipelineId' when calling getPipelineRules");
    }

    // create path and map variables
    String path = "/v1/pipeline/{pipelineId}/rules".replaceAll("\\{format\\}","json")
        .replaceAll("\\{" + "pipelineId" + "\\}", apiClient.escapeString(pipelineId.toString()));

    // query params
    List<Pair> queryParams = new ArrayList<Pair>();
    Map<String, String> headerParams = new HashMap<String, String>();
    Map<String, Object> formParams = new HashMap<String, Object>();

    queryParams.addAll(apiClient.parameterToPairs("", "rev", rev));

    final String[] accepts = {
        "application/json"
    };
    final String accept = apiClient.selectHeaderAccept(accepts);

    final String[] contentTypes = {

    };
    final String contentType = apiClient.selectHeaderContentType(contentTypes);

    String[] authNames = new String[] { "basic" };

    TypeRef returnType = new TypeRef<RuleDefinitionsJson>() {};
    return apiClient.invokeAPI(path, "GET", queryParams, postBody, postBinaryBody, headerParams, formParams, accept,
        contentType, authNames, returnType);
  }

  /**
   * Update an existing Pipeline Rules by name
   *
   * @param pipelineId
   * @param pipeline
   * @param rev
   * @return RuleDefinitionsJson
   */
  public RuleDefinitionsJson savePipelineRules (
      String pipelineId,
      RuleDefinitionsJson pipeline,
      String rev
  ) throws ApiException {
    Object postBody = pipeline;
    byte[] postBinaryBody = null;

    // verify the required parameter 'pipelineId' is set
    if (pipelineId == null) {
      throw new ApiException(400, "Missing the required parameter 'pipelineId' when calling savePipelineRules");
    }

    // verify the required parameter 'pipeline' is set
    if (pipeline == null) {
      throw new ApiException(400, "Missing the required parameter 'pipeline' when calling savePipelineRules");
    }

    // create path and map variables
    String path = "/v1/pipeline/{pipelineId}/rules".replaceAll("\\{format\\}","json")
        .replaceAll("\\{" + "pipelineId" + "\\}", apiClient.escapeString(pipelineId.toString()));

    // query params
    List<Pair> queryParams = new ArrayList<Pair>();
    Map<String, String> headerParams = new HashMap<String, String>();
    Map<String, Object> formParams = new HashMap<String, Object>();

    queryParams.addAll(apiClient.parameterToPairs("", "rev", rev));

    final String[] accepts = {
        "application/json"
    };
    final String accept = apiClient.selectHeaderAccept(accepts);

    final String[] contentTypes = {

    };
    final String contentType = apiClient.selectHeaderContentType(contentTypes);

    String[] authNames = new String[] { "basic" };

    TypeRef returnType = new TypeRef<RuleDefinitionsJson>() {};
    return apiClient.invokeAPI(path, "POST", queryParams, postBody, postBinaryBody, headerParams, formParams, accept,
        contentType, authNames, returnType);
  }

  /**
   * Returns all Pipeline Configuration Info
   *
   * @return List<PipelineInfoJson>
   */
  public List<PipelineInfoJson> getPipelines (
      String filterText,
      String label,
      int offset,
      int len,
      PipelineOrderByFields orderBy,
      Order order,
      boolean includeStatus
  ) throws ApiException {
    Object postBody = null;
    byte[] postBinaryBody = null;

    // create path and map variables
    String path = "/v1/pipelines".replaceAll("\\{format\\}","json");

    // query params
    List<Pair> queryParams = new ArrayList<Pair>();
    Map<String, String> headerParams = new HashMap<String, String>();
    Map<String, Object> formParams = new HashMap<String, Object>();

    queryParams.addAll(apiClient.parameterToPairs("", "filterText", filterText));
    queryParams.addAll(apiClient.parameterToPairs("", "label", label));
    queryParams.addAll(apiClient.parameterToPairs("", "offset", offset));
    queryParams.addAll(apiClient.parameterToPairs("", "len", len));
    queryParams.addAll(apiClient.parameterToPairs("", "orderBy", orderBy));
    queryParams.addAll(apiClient.parameterToPairs("", "order", order));

    final String[] accepts = {
        "application/json"
    };
    final String accept = apiClient.selectHeaderAccept(accepts);

    final String[] contentTypes = {

    };
    final String contentType = apiClient.selectHeaderContentType(contentTypes);

    String[] authNames = new String[] { "basic" };
    TypeRef returnType = new TypeRef<List<PipelineInfoJson>>() {};
    return apiClient.invokeAPI(path, "GET", queryParams, postBody, postBinaryBody, headerParams, formParams, accept,
        contentType, authNames, returnType);
  }

  /**
   * Export Pipeline Configuration & Rules by name and revision
   *
   * @param pipelineId
   * @param rev
   * @param attachment
   * @param includeLibraryDefinitions
   * @return PipelineEnvelopeJson
   */
  public PipelineEnvelopeJson exportPipeline (
      String pipelineId,
      String rev,
      Boolean attachment,
      Boolean includeLibraryDefinitions
  ) throws ApiException {
    Object postBody = null;
    byte[] postBinaryBody = null;

    // verify the required parameter 'pipelineId' is set
    if (pipelineId == null) {
      throw new ApiException(400, "Missing the required parameter 'pipelineId' when calling getPipelineInfo");
    }

    // create path and map variables
    String path = "/v1/pipeline/{pipelineId}/export"
        .replaceAll("\\{format\\}","json")
        .replaceAll("\\{" + "pipelineId" + "\\}", apiClient.escapeString(pipelineId.toString()));

    // query params
    List<Pair> queryParams = new ArrayList<Pair>();
    Map<String, String> headerParams = new HashMap<String, String>();
    Map<String, Object> formParams = new HashMap<String, Object>();

    queryParams.addAll(apiClient.parameterToPairs("", "rev", rev));
    queryParams.addAll(apiClient.parameterToPairs("", "attachment", attachment));
    queryParams.addAll(apiClient.parameterToPairs("", "includeLibraryDefinitions", includeLibraryDefinitions));

    final String[] accepts = {
        "application/json"
    };
    final String accept = apiClient.selectHeaderAccept(accepts);

    final String[] contentTypes = {

    };
    final String contentType = apiClient.selectHeaderContentType(contentTypes);

    String[] authNames = new String[] { "basic" };

    TypeRef returnType = new TypeRef<PipelineEnvelopeJson>() {};
    return apiClient.invokeAPI(path, "GET", queryParams, postBody, postBinaryBody, headerParams, formParams, accept,
        contentType, authNames, returnType);
  }

  /**
   * Import Pipeline Configuration & Rules
   *
   * @param pipelineId
   * @param rev
   * @param overwrite
   * @param autoGeneratePipelineId
   * @return PipelineEnvelopeJson
   */
  public PipelineEnvelopeJson importPipeline (
      String pipelineId,
      String rev,
      Boolean overwrite,
      Boolean autoGeneratePipelineId,
      PipelineEnvelopeJson pipelineEnvelope
  ) throws ApiException {
    Object postBody = pipelineEnvelope;
    byte[] postBinaryBody = null;

    // verify the required parameter 'pipelineId' is set
    if (pipelineId == null) {
      throw new ApiException(400, "Missing the required parameter 'pipelineId' when calling importPipeline");
    }

    // verify the required parameter 'pipeline' is set
    if (pipelineEnvelope == null) {
      throw new ApiException(400, "Missing the required parameter 'pipelineEnvelope' when calling importPipeline");
    }

    // create path and map variables
    String path = "/v1/pipeline/{pipelineId}/import".replaceAll("\\{format\\}","json")
        .replaceAll("\\{" + "pipelineId" + "\\}", apiClient.escapeString(pipelineId.toString()));

    // query params
    List<Pair> queryParams = new ArrayList<Pair>();
    Map<String, String> headerParams = new HashMap<String, String>();
    Map<String, Object> formParams = new HashMap<String, Object>();

    queryParams.addAll(apiClient.parameterToPairs("", "rev", rev));

    queryParams.addAll(apiClient.parameterToPairs("", "overwrite", overwrite));

    queryParams.addAll(apiClient.parameterToPairs("", "autoGeneratePipelineId", autoGeneratePipelineId));

    final String[] accepts = {
        "application/json"
    };
    final String accept = apiClient.selectHeaderAccept(accepts);

    final String[] contentTypes = {
        "application/json"
    };
    final String contentType = apiClient.selectHeaderContentType(contentTypes);

    String[] authNames = new String[] { "basic" };

    TypeRef returnType = new TypeRef<PipelineEnvelopeJson>() {};
    return apiClient.invokeAPI(path, "POST", queryParams, postBody, postBinaryBody, headerParams, formParams, accept,
        contentType, authNames, returnType);
  }

  /**
   * Deletes filtered Pipelines
   *
   * @return List<String>
   */
  public List<String> deletePipelinesByFiltering (String filterText, String label) throws ApiException {
    Object postBody = null;
    byte[] postBinaryBody = null;

    // create path and map variables
    String path = "/v1/pipelines/deleteByFiltering".replaceAll("\\{format\\}","json");

    // query params
    List<Pair> queryParams = new ArrayList<Pair>();
    Map<String, String> headerParams = new HashMap<String, String>();
    Map<String, Object> formParams = new HashMap<String, Object>();

    queryParams.addAll(apiClient.parameterToPairs("", "filterText", filterText));
    queryParams.addAll(apiClient.parameterToPairs("", "label", label));

    final String[] accepts = {
        "application/json"
    };
    final String accept = apiClient.selectHeaderAccept(accepts);

    final String[] contentTypes = {

    };
    final String contentType = apiClient.selectHeaderContentType(contentTypes);

    String[] authNames = new String[] { "basic" };
    TypeRef returnType = new TypeRef<List<String>>() {};
    return apiClient.invokeAPI(path, "POST", queryParams, postBody, postBinaryBody, headerParams, formParams, accept,
        contentType, authNames, returnType);
  }
}

redpajama_set_name: RedPajamaGithub


text:
Tournament Bracket
The Official Website of the Southeastern Conference
Golf (M)
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Tennis (M)
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Indoor Track & Field
Outdoor Track & Field
SEC Academic Initiatives
Racial and Social Equality
SEC Staff Directory
SEC YouTube
About the Commissioner
Student-Athlete Stories
SEC Fan Central
SEC Champions
Credential & Ticket Policy
The SEC Blog
About the SEC Network
SEC Network+
SEC Network on the ESPN App
SEC Nation
SEC Now
The Paul Finebaum Show
SEC Storied
Rally Cap
Marty & McGee
Saturdays in the South
TrueSouth
Box Score - Nov 29, 2020
All Men's Basketball Scores »
Stegeman Coliseum - Athens, GA
Florida A&M0-2
Recap | Watch Replay
Georgia1-0
M. Randolph, G 38 21 9/13 .692 0/0 .000 3/8 .375 3 6 9 3 3 0 2 1
D. Jones, F 31 15 7/7 1.000 0/0 .000 1/2 .500 1 3 4 2 0 0 1 4
K. Reaves, G 34 14 5/12 .417 2/5 .400 2/2 1.000 0 3 3 2 2 0 3 2
B. Moragne, F 31 14 6/12 .500 0/0 .000 2/2 1.000 1 1 2 1 1 0 1 4
J. Speer, G 27 9 3/8 .375 0/5 .000 3/3 1.000 0 2 2 4 1 0 2 2
H. Murray Jr., F 3 2 1/1 1.000 0/0 .000 0/0 .000 1 0 1 0 0 0 0 1
J. Brown, F 15 0 0/1 .000 0/1 .000 0/0 .000 0 2 2 0 1 1 1 4
J. Williams, G 10 0 0/3 .000 0/2 .000 0/0 .000 1 0 1 1 0 0 2 2
K. Littles, G 8 0 0/2 .000 0/0 .000 0/0 .000 0 2 2 0 0 0 2 0
J. Smith, G 2 0 0/0 .000 0/0 .000 0/0 .000 0 0 0 0 0 0 0 0
L. Hancock Jr., F 1 0 0/0 .000 0/0 .000 0/0 .000 0 0 0 0 0 0 0 0
A. Garcia, F 23 22 6/8 .750 0/1 .000 10/11 .909 4 0 4 0 2 1 2 2
T. Fagan, G 24 21 9/10 .900 1/1 1.000 2/4 .500 4 6 10 0 0 0 1 0
S. Wheeler, G 35 12 5/13 .385 0/4 .000 2/4 .500 1 3 4 12 3 0 6 4
C. Brown, F 17 8 2/8 .250 1/3 .333 3/3 1.000 2 3 5 0 0 0 0 3
J. Kier, G 28 6 2/6 .333 2/4 .500 0/0 .000 0 3 3 5 1 0 2 1
P. Horne, F 20 5 1/3 .333 1/3 .333 2/2 1.000 1 1 2 1 0 0 0 2
T. McMillan, F 13 5 2/4 .500 0/0 .000 1/2 .500 1 0 1 0 0 0 1 1
T. Camara, F 18 4 2/6 .333 0/4 .000 0/0 .000 0 1 1 2 2 1 2 4
J. Ned, F 6 2 1/2 .500 0/0 .000 0/0 .000 0 0 0 0 0 0 1 0
J. Walton, F 7 0 0/2 .000 0/2 .000 0/0 .000 0 3 3 0 0 0 0 1
M. Starks, G 5 0 0/0 .000 0/0 .000 0/0 .000 0 1 1 0 0 0 0 0
J. Taylor, F 3 0 0/0 .000 0/0 .000 0/0 .000 0 0 0 0 0 0 0 0
J. Etter, G 1 0 0/0 .000 0/0 .000 0/0 .000 0 0 0 0 0 0 0 0
19:43 S. Wheeler made Layup. 0 2
19:11 T. Camara made Jumper. 0 4
18:44 J. Kier made Three Point Jumper. Assisted by T. Camara. 0 7
18:09 M. Randolph made Jumper. 2 7
16:28 T. Fagan made Free Throw. 2 10
15:23 S. Wheeler made Layup. Assisted by J. Kier. 2 13
15:12 B. Moragne made Free Throw. 3 13
14:14 K. Reaves made Jumper. 6 13
13:53 M. Randolph made Layup. Assisted by K. Reaves. 8 13
13:09 C. Brown made Free Throw. 8 14
12:53 D. Jones made Jumper. Assisted by J. Speer. 10 15
12:35 T. McMillan made Free Throw. 10 16
10:59 M. Randolph made Jumper. 12 16
9:52 S. Wheeler made Free Throw. 12 17
9:41 J. Speer made Jumper. Assisted by D. Jones. 14 17
9:24 K. Reaves made Jumper. 16 17
8:41 T. Fagan made Layup. Assisted by S. Wheeler. 16 19
8:22 D. Jones made Jumper. Assisted by M. Randolph. 18 19
8:09 J. Ned made Layup. Assisted by S. Wheeler. 18 21
7:40 B. Moragne made Layup. Assisted by D. Jones. 20 21
6:43 M. Randolph made Jumper. 22 21
6:31 A. Garcia made Layup. 22 23
4:25 B. Moragne made Jumper. 26 23
4:07 A. Garcia made Free Throw. 26 24
3:34 B. Moragne made Layup. 28 25
2:31 C. Brown made Three Point Jumper. Assisted by S. Wheeler. 30 28
2:31 C. Brown made Free Throw. 30 29
1:38 K. Reaves made Three Point Jumper. 33 32
1:25 C. Brown made Dunk. Assisted by S. Wheeler. 33 34
0:56 H. Murray Jr. made Layup. 35 34
0:01 A. Garcia made Jumper. Assisted by J. Kier. 37 38
19:45 T. Fagan made Jumper. 37 40
19:08 B. Moragne made Layup. Assisted by M. Randolph. 39 40
18:35 T. Fagan made Layup. Assisted by S. Wheeler. 39 42
18:17 M. Randolph made Jumper. Assisted by J. Speer. 41 42
18:17 M. Randolph made Free Throw. 42 42
17:22 T. Fagan made Three Point Jumper. Assisted by S. Wheeler. 42 45
16:48 D. Jones made Layup. Assisted by J. Speer. 44 45
16:16 D. Jones made Free Throw. 45 45
15:48 T. Camara made Layup. 45 47
15:30 M. Randolph made Layup. 47 47
15:24 A. Garcia made Free Throw. 47 48
14:33 T. Fagan made Jumper. Assisted by S. Wheeler. 47 53
14:12 T. Fagan made Dunk. Assisted by T. Camara. 47 55
13:19 D. Jones made Jumper. Assisted by K. Reaves. 49 57
11:36 A. Garcia made Layup. 51 59
11:16 B. Moragne made Jumper. 53 59
10:27 J. Speer made Jumper. 55 61
9:05 A. Garcia made Layup. Assisted by J. Kier. 57 63
8:45 T. McMillan made Dunk. Assisted by J. Kier. 57 65
7:59 M. Randolph made Free Throw. 58 65
6:38 K. Reaves made Free Throw. 59 67
6:25 T. McMillan made Jumper. Assisted by S. Wheeler. 60 69
5:50 P. Horne made Three Point Jumper. Assisted by J. Kier. 60 72
4:50 J. Speer made Layup. 64 72
3:29 P. Horne made Free Throw. 65 74
3:00 J. Kier made Three Point Jumper. Assisted by S. Wheeler. 65 78
2:00 S. Wheeler made Layup. 65 80
1:51 D. Jones made Dunk. Assisted by B. Moragne. 67 80
1:30 A. Garcia made Layup. Assisted by P. Horne. 67 82
1:20 K. Reaves made Three Point Jumper. Assisted by M. Randolph. 70 83
0:58 J. Speer made Free Throw. 71 83
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Learn to play the violin, viola, or cello in the Fox Hollow Orchestra!!!
SCHEDULE: Classes are taught twice per week from September through May.
This is a before and/or after school program. Days and times are subject to change.
Advanced Orchestra: Tues. and Wed. 3:30 pm to 4:15 pm.
FEE: $200 for the school year.
REQUIREMENTS: Classes are offered to students in 3rd through 6th grade. No prior musical experience is required.


Watch & Download Sebastian Maniscalco: Stay Hungry (2019) : Full Movie Free On Putlocker HD Sebastian Maniscalco brings an acerbically unique approach to peacocks on planes, life hacks, rich in-laws and life's annoyances in this comedy special.
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text:
Versão portuguesa Contacts
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Pico OWC was built as the European Wave Energy Pilot Plant, co-funded by the EC, in order to demonstrate the technical viability of wave energy in a small Island grid.
The Project started in 1992 backed by the utilities EDP (mainland) and EDA (regional), and its construction was concluded in 1999 under coordination of IST (Instituto Superior Técnico). However, several technical problems and lack of funding to address them after construction caused interruption of the project during several years.
Shortly after its creation in 2003, the WavEC Offshore Renewables (former Wave Energy Centre) took over responsibility of the plant recovering the original layout with financial support of national funding and of some of its associates.
The first test ran in 2005 and revealed the persistence of serious technical limitations of the original structure of the turbo-generation group, which were not possible to resolve entirely with the available funding. However the team involved in this project has insisted in the maintenance and continuous improvement of the plant, yielding increasing operation hours, availability and power production in the period 2006-2008.
In 2008, efforts focused on exploring the possibility of the major overhaul financed primarily by EDP, however after the first phase of the project it was suspended due to doubts in the structural longevity of the concrete structure. Since 2006, WavEC has been maintaining the operation of the plant mostly with own means (very limited due to the technical challenge involved). Significant improvements have been achieved since 2009, especially significant improvements of the vibrations of the turbine-generator, a mechanical problem that had prevented better functioning of the plant.
In 2010 more improvements were made, especially with an additional safety circuit, providing sufficient confidence in the autonomous operation (without an operator on site) of the OWC.During 2010 minor technical difficulties delayed the fully operation ofthe plant, but gradually the implementation of the autonomous andremote control of the plant was concluded and a webcam was installed onsite, and is now available on this website. After successful tests withthe autonomous operation of the Plant from September to December 2010, atotal annual production of 45 MWh was achieved in 1450 hours ofoperation.
During 2011 the priority of the project is the preparation of the plant'sstructure to accommodate a second platform to conduct testing ofturbines. The plant is ready to accommodate two turbine ducts of equalsize (suitable for testing equipment between 100KW and 700kW), and inthe past, only one of these ducts, equivalent of half of the availablespace in the plant, was used.
The situation of the Pico plant worsened since 2012 when the European project Wavetrain2 finished. This project covered some expenses of the Pico plant, namely part of the human resources.
Recent Progress and Vision
In 2013 some activities of the Pico plant were able to be funded by the European MariNET project that gathers 40 European test infra-structures with relevance to Offshore Marine Renewable Energy. The Pico plant is one of the infra-structures of this group, recognized as the only real scale plant. This means that teams that applied to test the plant can be funded by this project. In October 2013 the plant received a team of Irish researchers of the University College Cork.
The year of 2013 was market by the efforts to obtain funding for the Pico plant, namely from the Regional Government of the Azores in the aim of EU funding for the region. The idea was to propose an interpretation and test centre and a technical oceanic centre that could give support to the Department of Oceanography and Fisheries, University of the Azores (DOP).
In 2013, the local public utility, EDA - Electricidade dos Açores sponsored (Scientific sponsorship) the Plant with 50.000 Euros. This amount helped to support some human resources at site and operation and maintenance costs.
Copyright © 2006 WavEC. All rights reserved
Coordinator: WavEC. Management: WavEC.


OnCrawl was built around the SEO needs of the n°1 French ecommerce player back in 2015. This meant we had to scale our analysis and deal with a website with more than 50M URLs in a short period of time. Tough, you would say, for a new player? Actually, our infrastructure, on which we spent 1,5M€ just in R&D and which had previously supported different data projects, has made it easy. As the distinction between desktop and cloud-based crawlers is still sometimes unclear, we thought it might be useful to explain why OnCrawl has much more to offer than a simple desktop crawler – from high scaling capabilities to third-party integrations and speed of analysis.
Desktop crawlers are limited in crawling capacity due to the resources and memory of the computer they are running on. It's most likely they'll be limited to crawling only a few thousands URLs per crawl. While this can be ok for small websites, it can still take more time to crawl these URLs compared to a SaaS (Software as a Service) crawler. Cloud-based crawlers are distributed across many servers so you aren't limited by the speed and size of your machine.
This means that there is no crawl we can't handle. We've been working for small websites as well as for very large websites, including some of the Fortune 500 companies. As said in the intro, we developed our SEO crawler after Cdiscount, the largest ecommerce website in France, asked us to build them a custom solution to handle their 50M+ URLs and SEO needs in one single crawl. Plus, our scaling capabilities have made us two years in a row the Best SEO Tool at the European Search Awards, the leading ceremony in the search industry. Currently, we collect up to 25 millions of URLs per day and per website, or approximately 1 billion web pages and 150 billions of links per month. You can learn more about our technology and how we handle GDPR policies here.
Since our application is cloud-based, you don't need to think about your machine's resources and speed capabilities. It also means there is no restriction regarding timing or the number of crawls that can be launched. You can launch as many crawls as your subscription allows and do other things while it's crawling. Using a cloud-based solution also means you can close your application window and wait for the crawl to be done – it's working on its own and doesn't need your surveillance. OnCrawl lets you schedule crawls based on your SEO needs, whether you need to crawl your site once a week or every month. You can also decide to speed up your analysis if you need them faster.
Since the OnCrawl app can be used to crawl any website, our bot will follow the Crawl-Delay directive expressed in the robots.txt file found on the target website, if any.
Otherwise, we limit the crawl rate at the speed of 1 page per second, so our bot is not too aggressive against the targeted website.
When a website has a Crawl-Delay directive higher than 1, our application emits a warning to tell you that the crawl will be slower than the requested speed.
If the Crawl-Delay is higher than 30, we display an error. We will simply not allow you to configure a crawl with such an high crawl delay.
The only way to set up a crawl under those circumstances is to use a virtual robots.txt file.
To do so, you must first validate the project with your Google Analytics account, so we can make sure that you have some kind of ownership on the domain you want to crawl.
See in real-time the pages that have been fetched, the number of URLs we retrieved so far and see if there is any issue slowing your crawl down.
OnCrawl is so much more than a simple SEO crawler. Over the past years, we've also released a powerful log files analyzer tackling issues that no other SEO solution has found.
Complete log files are a perfect reflection of the life of your site. Whether it is visitors or bots, pages displayed or calls to resources, any activity on your site is written in it.
With information such as IP address, status code, user-agent, referrer and other technical data, each line of logs (server-side data) can help you complete your site's analysis, which is most often based on analytics (more client-side oriented).
Our log files analyzer supports any type of log formats, from standard ones like IIS, Apache on Ngnix to more custom formats. There's no analysis we can't do. We also let our users directly retrieve their logs data from third-party solutions like Splunk, ELK / Elastic Stack, Amazon S3, OVH (ES) or Cloudflare.
This means you won't be stuck with an additional third-party log files manager any more, the way you are with some of our competitors.
Our interface makes it easy to automatically upload your log files through a secure and private FTP. It only takes a few steps to complete your log files analysis.
You can also monitor your files being processed in real-time and see if there's any error blocking their upload.
OnCrawl has worked on developing built-in connectors with leading search marketing solutions that SEOs can't live without: Google Search Console, Google Analytics, Adobe Analytics or Majestic, just to name a few. Integrating these solutions into your audit process isn't redundant: it provides a more comprehensive view of your website's performance and health on search engines and clarifies how bots and visitors really behave on your website. You're also saving time and effort as you don't need to manually crunch these data later in Excel spreadsheets.
We've built a trustworthy relationship with Majestic, the leading link intelligence solution. Our cross-data analysis lets you combine your crawl data and logs data with your backlink data to understand the influence of backlinks on your SEO traffic and crawl frequency. Once you've set up a site-wide segmentation of custom groups of pages based on your most important KPIs. You can also, visualize the number of backlinks in relation to page click depth level or examine whether the number of backlinks has an influence on Google's behavior.
The analyses we provide, in which backlinks data are correlated and combined on a URL and bots hits level, are currently the only ones on the market.
We've also developed a unique connector to Google Search Console to understand how your site is found and indexed, and how your on-page optimizations have an impact on your traffic and indexing. We provide standard yet exhaustive insights regarding your keywords distribution, impressions, clicks and click-through rate over time, whether it is on desktop or mobile, for branded or non-branded keywords or regarding your groups of pages. More importantly, we also offer unique analysis that none of our competitors have achieved.
OnCrawl uses your segmentations and data from your log files to interpret your ranking data. You can thus identify the common characteristics of pages that rank and those which don't regarding depth, internal popularity, word count, inlinks, load time and title evaluation. Not only that, but you can also examine the impact of description length and structured data on click-through rate.
Finally, OnCrawl Rankings lets you combine your crawl, log files and Search Console data at scale to highlight ranked pages and understand if crawl budget is influencing your positions. No other crawls, whether desktop or cloud-based, support such features.
We let you connect your Google Analytics or Adobe Analytics (ex-Omniture) to understand how on-page and technical SEO affect organic traffic performances from search engines. We help you monitor SEO traffic performance and user behavior regarding each section of your website.
While we're constantly working on new integrations from third-party solutions, we didn't want to leave you without a particular type of data you might need to run your technical SEO audits. That's why we let you upload CSV files at scale (you can upload millions of rows) to add a new layer of data at a URL level. You can build your very own segmentations and filters based on these particular data (rankings, CRM, business, Google Ads data, etc.) to see whether your most strategic pages meet your objectives.
OnCrawl is based on a platform built around an API. The OnCrawl REST API is used for accessing your crawl data as well as managing your projects and your crawls. In order to use this API you need to have an OnCrawl account, an active subscription and an access token.
You can create your own application to request this API very easily. This can be done using an API token generated by the user account or by using an OAuth application to connect to OnCrawl using the user's account.
Using our API, you can write applications that make the most of OnCrawl's many features, deployed in your own environment, using the programming language and platforms that you prefer. This means that you can create custom dashboards, integrate our data into other platforms and automatically trigger a crawl whenever a site is updated.
Also, to make integration easier for you, all our charts include the API calls and the response format in the information icon.
OnCrawl organizes your crawls by date within your projects. We store your crawl data while your subscription is active, which means you can keep track of months or even years of analyses. Please note that if you use our Log Monitoring feature, the OnCrawl application handles personal data in the form of the IP addresses of visitors to your website. This information is required in order to distinguish reliably between Googlebots and other visitors. IP addresses are not stored in the OnCrawl application. This data only exists in the original file that you upload to your private, secure FTP.
We also offer extensive features that let you compare two crawls, based on the same crawl configuration, to spot trends and changes over time. This is a great way to compare a staging and a live version and check if everything has gone smoothly during the migration.
You can also share your projects with teammates or clients, which is a great way to prove the value of your optimizations and share results.
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The Nine Mile Canyon area is one of this country's richest archaeological regions.
Remote desert area. Bring plenty of water and necessary tools for repairs.
This is a strenuous ride that requires riders to be properly equipped—carry plenty of water and the necessary tools for repairs.
The turnoff to Nine Mile Canyon is about 2 miles East of Wellington on US 191/6 (Soldier Creek Road). From the turnoff drive 33 miles to a BLM sign denoting Harmon Canyon. Park near here.
Thank you for visiting http://www.castlecountry.com/Trails-Prickly-Pear-Harmon-Canyon! Be sure and revisit castlecountry.com frequently for content updates and more.


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The Great Biofuels Con
According to the World Bank's top economist, Don Mitchell, biofuels had been responsible for three-quarters of the 140 per cent rise in world food prices between 2002 and 2008. It was this that last October prompted Jean Ziegler, the UN's "special rapporteur on the right to food", to comment that biofuels could only bring "more hunger to the poor people of the world" and were a "crime against humanity".
Yellow peril: while Britain's farmers are encouraged to turn their fields over to rapeseed for biofuels, the world food crisis has driven people in Ethiopia to the brink of starvation
Rarely in political history can there have been such a rapid and dramatic reversal of a received wisdom as we have seen in the past 18 months over biofuels – the cropping of living plants, such as soya beans, wheat and sugar cane, to generate energy.
Two years ago biofuels were still being hailed as a dream solution to what was seen as one of the most urgent problems confronting mankind – our dependence on fossil fuels, which are not only finite but seemed to be threatening the world with the catastrophe of global warming.
Read moreThe Great Biofuels Con
Categories Economy, Environment, Politics Tags Al Gore, An Inconvenient Truth, biofuel, Economy, Environment, EU, Food, Food Prices, Food shortages, George Bush, Government, Politics, U.N., U.S. Leave a comment
Why Al Gore is a Hypocrite and a Fraud: Energy Guzzled by Al Gore's Home in Past Year Could Power 232 US Homes for a Month
January 15, 2011 June 18, 2008 by Infinite
Gore's personal electricity consumption up 10%, despite "energy-efficient" home renovations
Global warming is a scam and the world is cooling. – You'll experience this very soon.
NASHVILLE – In the year since Al Gore took steps to make his home more energy-efficient, the former Vice President's home energy use surged more than 10%, according to the Tennessee Center for Policy Research.
"A man's commitment to his beliefs is best measured by what he does behind the closed doors of his own home," said Drew Johnson, President of the Tennessee Center for Policy Research. "Al Gore is a hypocrite and a fraud when it comes to his commitment to the environment, judging by his home energy consumption."
In the past year, Gore's home burned through 213,210 kilowatt-hours (kWh) of electricity, enough to power 232 average American households for a month.
In February 2007, An Inconvenient Truth, a film based on a climate change speech developed by Gore, won an Academy Award for best documentary feature. The next day, the Tennessee Center for Policy Research uncovered that Gore's Nashville home guzzled 20 times more electricity than the average American household.
After the Tennessee Center for Policy Research exposed Gore's massive home energy use, the former Vice President scurried to make his home more energy-efficient. Despite adding solar panels, installing a geothermal system, replacing existing light bulbs with more efficient models, and overhauling the home's windows and ductwork, Gore now consumes more electricity than before the "green" overhaul.
Read moreWhy Al Gore is a Hypocrite and a Fraud: Energy Guzzled by Al Gore's Home in Past Year Could Power 232 US Homes for a Month
Categories Environment, Politics Tags Al Gore, An Inconvenient Truth, Climate Change, Fraud, Global Warming, Nobel Peace Prize Leave a comment
Gore to recruit 10m-strong green army
Al Gore at the UN climate change conference in Bali in 2007.
Photograph: Jewel Samad/AFP/Getty images
· Huge drive for Congress action on global warming
· $300m TV campaign will focus on job opportunities
Al Gore yesterday launched a drive to mobilise 10 million volunteers to force politicians to act on climate change – twice as many as the number who marched against the Vietnam war or in support of civil rights during the heyday of US activism in the 1960s.
During the next three years, his Alliance for Climate Protection plans to spend $300m (about £150m) on television advertising and online organising to make global warming among the most urgent issues for elected American leaders.
The wecansolveit.org initiative aims to build up pressure on the next US president to support stringent mandatory emissions controls when they come before Congress, and take a leadership role at the renegotiation of the Kyoto treaty.
Read moreGore to recruit 10m-strong green army
Categories Environment, Politics Tags Al Gore, An Inconvenient Truth, Bali, Barack Obama, campaign, Climate Change, Congress, Greenpeace, Hillary Clinton, John McCain, Nobel Peace Prize, United Nations Fund Leave a comment


The Barchi rugs were inspired by the anatolian longhair rugs, also known as Tüllüs. These nomad rugs were originally manufactured just in bridge formats and are characterized by long floor and simple monochromatic designs. To manufacture our Barchi rugs, we use the so-called turkish knot. We keep the knot thread in his original length and add three to four shots between the knot rows to ensure an consistent overall image. Designing the Barchi rugs results out of a combination of initial nomad colours and shapes and contemporary designs. The rugs are named by the region where the series gets manufactured (Dasht-e-Barchi).