Mohaqiq Accuses IEC of Favoring Ghani’s Team
Mohammad Mohaqiq said that the election situation is “out of control” and a crisis should be prevented.
by TOLOnews.comThe second deputy chief executive, Mohammad Mohaqiq, while visiting the northern province of Jawzjan with a group of Afghan politicians and MPs, accused the Independent Election Commission, or IEC, of favoring President Ghani’s campaign team, and described the situation as “critical.”
Mohaqiq held a meeting with the first vice president, Abdul Rashid Dostum, who has been living in Jawzjan over the past few months.
Mohaqiq also accused the United Nations Mission in Afghanistan (UNAMA) of taking bribes and said the country will not achieve peace unless the crisis is prevented.
The delegation which visited Jawzjan mostly discussed peace efforts and the election during their meeting with the first vice president.
“They are really taking the election to a crisis. There is no rule and regulation. The commission wants to implement the government’s order,” Mohaqiq said.
At one point, Mohaqiq directly called out UNAMA chief Tadamichi Yamamoto and accused him of favoring a certain election campaign team.
UNAMA has not commented on Mohaqiq’s remarks but recently it has rejected some allegations against it as “baseless.”
At the same event, Dostum criticized the “use of security forces” against protestors in some northern provinces and warned that such acts will result in anger among the people.
“As far I know, the Defense and Interior ministries did not order the attack on protesters (in north), but they did it under the order of Ashraf Ghani,” Dostum said.
Dostum, meanwhile, said that he has never been against peace and that he has always stressed that war is not the solution.
Dostum and Mohaqiq also welcomed the release of Anas Haqqani and two other members of the Haqqani network.


|
The Ariegeois normally weighs approximately 28–30 kg. Males should stand 52–58 cm tall, and females 50–56 cm. The coat is smooth and short, white with clearly defined black markings; it is sometimes mottled, and there may be tan points at the head. The head of the dog is lean and elongated. There are no wrinkles. The eyes are dark and gentle. The ears are very soft and medium-length. The muzzle is of medium length, and the nose is black. The neck is slender and arched slightly, to the chest which is narrow and deep. The ribs are well-sprung with a strong, sloping back. It should have straight forelegs and strong, powerful hindlegs. The feet are hard and foxlike. The tail is slightly curved. Overall, the Ariegeois is a talented scenthound, and affectionate and serene in the home. The Ariegeois is now being bred in Italy and used to hunt wild boar, performing well in this endeavour under Italian conditions.
Good speed; a degree of endurance not generally found in hounds of this size. A surprisingly deep, powerful voice and remarkable scenting ability. Of even temperament, essentially friendly and social. As a hunting/working scenthound breed, and being called upon to work in close proximity with other hounds and their handlers, aggression towards other hounds and people is to be considered a fault.
|
| Developed in the French province of Ariege, from a series of matings between the Grand Bleu de Gascogne, Grand Gascon-Saintongeois and local Briquet hounds, the Ariegeois excels in hunting hare in the dry, rocky regions of its homeland. (Note: “Briquet” is often mistakenly translated as “Beagle”, but actually does not denote any certain breed. Rather, the term is used to describe medium-sized hounds which are finer-boned, shorter-coupled and more compact than the larger “Grand” breeds.). The Ariegeois was recognized by the United Kennel Club on January 1, 1993. |


I make javascript games using the processing engine, p5 libraries, canvas, and just plain HTML with javascript Here are the categories


cb-accordion is made for creating a simple accordion to use in projects. This accordion doesn't have much visual load and is ideal for a more discreet use to omit certain information.


The Best Travel and Vacation Deals from RetailMeNot!
Up to 35% off vacation packages at Orbitz + an extra $50 off
More top travel offers include:
Travelocity: Up to 45% Off + Extra $100 Off
Hotels.com: Up to $100 Off Hotels with Minimum Stay
Enterprise: Weekend Special Only $9.99 Per Day
Vera Bradley: Up to 40% Select Travel Items
& many more at www.retailmenot.com
Copyright 2013 WhaleShark Media. 301 Congress Avenue, Suite 700, Austin, Texas 78701
To opt-out please reply to this email with UNSUBSCRIBE in the subject line.


Demonstration area for the tutorial on Jersey 2 authentication. The source code can be found on GitHub


VOLCANO A film review by Phil Brady Copyright 1997 Phil Brady
Tommy Lee Jones may have noted on his script: VOLCANO - The Paycheck. While he performs admirably, this is a paint-by-numbers thriller conceived by innumerates. The volcano starts as lava incursions into the sewer system, with a talent for entirely withdrawing below after it strikes. Easy for Bruce the Shark, but a neat trick for molten rock. A scientist appears so that she go unheeded; in this case, its Ellen's recently-outted friend, Ann Heche. Self-appointed gay-spotters will have no trouble seeing her true nature, but the more balanced among us will see a fair portrayal of a concerned human, with no time to get near anybody's bed. Actually, Tommy, as the head of disaster control does believe her, but he can't get any municipal services to heed his pleas. This sort of drama was explored fully in Quincy, years ago.
So..when the caldera does poke its head up at the La Brea Tar Pits, it politely sends its lava down Wilshire Blvd. They overturn one bus ON Wilshire to steer the flow, but I never saw what kept the lava from hanging a left at any intersection. You no doubt saw the trailer, where they build a barricade to stop the flow, but where does all the still-coming lava go to? To harden the lava at the end, fire trucks and helicopters pour all their water on the leading edge. A totally preposterous sight - dozens of helicopters flying twenty feet apart - all dropping water from tanks installed with one hour's notice.
It get stupider. Now the volcano conveniently issues just one more tendril of lava - thru the subway system. With 30-min notice, engineers blow up a long, fifty-foot deep channel at the end of the subway, and divert the flow to this trench by demolishing a new, unopened, $100 million-plus building. This building was shown in the opening scenes, presented as ominously as those red-uniformed young security officers beaming down to the planet with Kirk. Well, this sends the remaining lava into the rain channels, toward the sea. It's Miller time. This volcano just can't take a punch.
There are a couple incredibly amateurish "Can't we all get along?" scenes. The lava stream was always linear, and nobody near the lava seemed to feel the infrared heat that would have overwhelmed them before the lava got to them. Also one-dimensional were the standard set of imperiled youngsters, pets that always survive, and noble rescuers.  He goes back in the subway train to rescue the driver, but when he returns to the back of the train, the lava has creeped several feet beyong the train. He jumps INTO the lava, tossing the driver (who may already be finished) clear of the lava. Personally, knowing we both couldn't make it, I woulda chucked the now-doomed driver into the lava, and leaped over it, using him as a steppingstone. Call me harsh for this clearer thinking, but don't say I'm harsh on this film.
P.S. If you never think about anything, or question anything, You'll love this movie.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Do You Need Synthetic Tokens? (part 1)
Last Updated Aug 2009
By: Mark Bennett
|
This month we have a bit of a propeller head article, but we think you???ll enjoy it. Although casual users of search don???t need to worry about the internals, the senior search engine folks at any company should. Like so many other markets, a well informed consumer will ask better questions and cut through vendor hype. Plus, think how smart you???ll sound at the next company party! Review of Regular Tokens and Evolving Fulltext IndicesTo understand where we???re going, you should double check that you understand the existing technology it builds on. We've talked about how virtually all modern search engines have, at their heart, a set of highly optimized binary files which we call the "fulltext search engine index", or fulltext index for short. This is because search engines would be very inefficient if they had to scan every line of every document for every search, so instead they create an index of all words in every document, kind of like a librarian's card catalog, and then users' query terms can be quickly looked up in this index. The specifics of the index are vendor specific and often proprietary. |
Contents:
|
So for a given word, say "jacket", the system consults its fulltext index and immediately see a list of documents that match. A primitive fulltext index, where the word jacket is in four documents, would literally look like:
jacket = { 5, 8, 24, 31 }
This "instance vector" has a head, the actual word or token being looked up, and then a compact list of document IDs that contain that word. In reality the instance vector would also include information about where, within each document, the term appeared. You'd need that information to do phrase and proximity searching. So our instance vector might actually look like:
jacket = { doc5-offset7, doc5-offset28, doc5-offset271 ... , doc8-offset19, doc8-offset91 ... doc31-offset842 ... }
For the rest of this article we're going to stick with the simpler form in our examples, but understand that it is the simplest form. And of course the actual index would be stored in an efficient binary format, and would likely contain additional information about the word's positions in each of those documents, but this is the basic structure of a fulltext index.
And a hint of things to come. We said that an instance vector has, at its head, the word that is being indexed. Those words are actually just the simplest type of a token! Moving on???
So what are ???Regular??? Tokens?
At the simplest level, search engine tokens are usually just the words that are extracted and indexed from the source documents.
Modern search engines don???t do a linear scan of every document each time a search is submitted ??? this would be WAY too slow! Instead, they break up documents into words, and then catalog those words into a binary Search Index. That fulltext search index is then consulted whenever a search is received. Each word in the search is quickly looked up in the index to quickly find the documents that contain those terms. When you hear a vendor talk about ???indexing documents???, this is generally what they???re referring to.
Details??? details??? Punctuation and Stemming
Of course ???the devil???s in the details??? ??? the exact format of the search index is different for every vendor, and usually a closely guarded secret.
Most engines go beyond just breaking the text up into words. At a minimum, many engines will store copies of words converted to lowercase, and perhaps replace accented characters with their non-accented form. Typically the original words are indexed 'as is': this extra processing happens at index time at the small cost of extra indexing size.
And there are other decisions to be made when breaking up a document into its constituent tokens. Should the term ???AT&T??? be stored as literal string ???at&t???, or maybe without the punctuation, as in ???at??? and then ???t??? or ???at (space) t??? or even ???att???. Different engines make different choices about which type of token to store. Some engines will store it multiple ways for maximum flexibility.
And should the word ???cars??? be stored as the singular form ???car???, or perhaps be expanded to include car, automobile and vehicle? Should we normalize the tokens ???running??? and ???ran??? to the base form ???run???? We???ve talked about stemming and lemmatization before, we won???t bore you again. This also has an impact using thesaurus based search, as the system decides which synonyms of a word to use as a token.
Tokenizing Non-Western Text
And breaking up documents into words, AKA ???Tokenization???, gets even trickier in some Asian languages because they don???t always have easily identifiable word breaks. Some vendors treat each Japanese or Chinese graphic symbol as a separate word token. Other engines use a dictionary to break apart the text into proper words, and store those as tokens.
Even with Western text, some vendors create sub-word tokens based on character N-grams, so that word ???Texas??? might stored as a series of tokens (???te???, ???ex???, ???xa???, ???as???) and (???tex???, ???exa???, ???xas???) ??? these types of tokens can help wildcard and regular expression matching, and they also work somewhat well for Asian text, though are not considered state of the art.
As an example, users of the open source search engines based on Lucene, such as Solr and Nutch, have two choices for handling Japanese text. They can use the CJKAnalyzer, which uses the NGram technique, or the ???SEN??? toolkit, which uses a dictionary to do linguistically proper word breaks.
But all these choices lead to a specific set of base tokens, and then the list of occurrences for them in each document.
Recapping Regular Tokens
So the process of Tokenizing a document means breaking up the TEXT of the document into little chunks (Tokens) that can be efficiently stored in an index. At a later time, queries can then be similarly broken apart and matched against the index. The details are surprisingly varied and often held as closely guarded secrets.
In summary, tokens are the building blocks of the special index that drives a search engine.
Search Engines and their Evolving Data Structures
To review, search engines break documents up into Tokens, and then each unique token forms the head of an Instance Vector. Put all these instance vectors together into a big binary file and you can quickly lookup any words in a query.
The Traditional Dual-Index Structure
But there's more to a search index than just these vectors. Even in the early days of search, deep inside those binary files, there were actually two fundamental subsets of index data. There was the main "word inversion" instance vectors we just mentioned, and secondary more traditional looking database that held the documents' metadata like the title, author, and the file path or URL to the source document. The primary use of this secondary database was to provide data for displaying the results. Although you'd find matching documents using the main index, when you want to display the title and URL, you need to get that data from a more traditional database. So searches that were just normal words use the primary inverted word index to find the matching documents, then the secondary index to grab the meta data for the results list.
Primary Word Index:
This is the primary set of Instance Vectors we talked about.
abbey = { 1, 4, 9, 12 ... 2279 }
...
baker = { 2, 19, 42, .... 1673 }
...etc....
And a more traditional table of Metadata Table:
Secondary index with document attributes stored in a table, similar to a traditional database engine.
ID, author, pubdate, price, title
1, Jones, 6/1/2005, 0.95, What I did on my Summer Vacation
2, Stevens, 2/28/2001, 7.95, How to be a Better Baker
.....
2085, Sellers, 5/1/2002, 5.95, Follow the Horses
And just like other traditional database engines, this table oriented index can have additional indices associated with it, to make the row oriented lookup run faster. Even traditional databases employed multiple levels of optimization and indices, and smart search engine vendors borrowed these ideas.
Some of these early search engines put that secondary table index to good use. They allowed you to do searches that looked more like traditional SQL searches, like author='Jones' or pubdate>=1/1/2001. These fielded searches used the secondary database to find the matching documents, and then used those same tables to pull the fields to display the results.
These advanced engines even let you mix the two types of queries, so you could do a phrase search for "summer vacation" with a filter of pubdate>=1/1/2001, etc. These "hybrid searches", as we've always called them, provided the best of both words, combinging traditional fielded search with fulltext search in a single unified query language. These secondary meta data tables also allowed for sorting and drilldown and early parametric search.
But an important distinction here is that if you searched for the word "jones" you would be using the fulltext index. Whereas if you said author='jones' you'd be using the secondary table oriented index to find matches. Both would use the secondary tables to bring back titles and such.
Zoned Searching
Vendors evolved this concept a bit since searches using the fulltext index were usually much faster. Queries like "'jones' IN author" or author:jones were now possible. In this case the tokens were expanded to include the section of the document they came from. There were several ways to represent this.
Embedded Zone Information
abbey = { 1, 4, 9, 12(title) ... 2279 }
....
baker = { 2(title), 19, 42, .... 1673 }
....etc....
Engines that tracked every occurrence of a word within each document, which is required if you want to do phrase searches for example, simply extended that offset information to include zone information. We won't bore you with a diagram for that!
But a more modern way to represent this is to include the name of the document section as part of the base instance vector token.
Zone-Specific Token Vectors
???body:abbey??? = { 1, 4, 9 ... 2279 }
???body:baker??? = { 19, 42, ... 1673 }
....
???title:abbey??? = { ... 12 ... }
???title:baker??? = { 2, .... }
....
Notice how instances of the word "baker" that appear in the title are stored as the base of a separate instance vector from when it appears in the main body of the document. This is a key point.
Originally this was used to find words anywhere within a particular subsection of the document. So you could look for title:jones, to find the term anywhere in the title, which is slightly different then saying title='jones'. But in the case of a meta data item that has, for example, just a 2 letter state abbreviation, the fielded query state=CA and a fulltext query of state:CA are logically identical, and the fulltext version is much faster!
Extending Zone Tokens to Non-Textual Data Types
These zone specific tokens can be extended even further. What about something like price=>5, something that certainly looks more database-like, and certainly not textual? More modern search engines can still use the fulltext token index to look this up. Let's say a product catalog had thousands of products that were under $10. So there were many products at 4.50, dozens at 4.55, some at 4.60, etc, all the way up to products at the 4.95, 5 and 5.05 price levels. The search engine can quickly find look at the compressed list of tokens, pulling out only the tokens of 5, 5.05, 5.10, etc, and look those up quickly, just like any other tokens. And for each of those tokens, it can quickly see which documents match.
So, instead of storing price in a tabular field, it becomes a set of instance vectors as well!
???price:4.50??? = { 83, 96, 122, ... }
???price:4.55??? = { 84, 173, 428, ... }
...
???price:5??? = { 12, 44, 87 }
....
???price:5.95??? = { ..., 2085, ... }
....
Notice the price of $5.95 for one of our books, which was previously stored in a tabular way, is now stored as a token, in the same way as words from the title and body are stored!
Of course representing the numbers as "5.95" is probably not how it would actually be stored in a binary index, we???re speaking conceptually at this point.
But to be clear, when we consider the search:
But this is a good starting point for the main section of our article.
Synthetic Tokens are another class of tokens that can be added to the search index, but that are not derived directly from text. Synthetic tokens are generated from other sources of information, such as document attributes, external data, or higher level patterns that are detected in the document.
Some initial examples are in order. A search engine could take the Mime Type of the document, like whether it???s a text file, an HTML file, or possibly a Microsoft Word document, and store that document type as a token. Or the date a document was last modified could be turned into a set of tokens; one special token could represent the year the document was modified, another could represent the calendar quarter and year, such as ???2009Q2???. Another synthetic token could encode how RECENTLY the document was modified, having one value if it was modified in the past day, others representing the past week, the past month, past 90 days, the past year, etc. Another synthetic token could be generated based on how popular a document is; perhaps 1-5 votes gives it one value, 6-25 votes another, 26-100 a third value, etc. We???ll get to more advanced examples later on.
And if you???ve dabbled a bit in statistical methods and machine learning, you might also be thinking about ???feature extraction??? ??? very good! You???re getting a bit warmer, though there???s a specific spin on that here as well.
Areas of Overlap?
Frequent readers would be correct in thinking that this sounds a lot like Meta Data, which can also encode document dates, Mime Type, popularity, etc. There is definitely some overlap! But tokens are stored in very specific ways in a search index; in some search engines Meta Data could also be stored, at least in part, as tokens, but there???s a deeper difference here we???ll try to explain. And yes, there???s also some overlap with Entity Extraction, another perennial topic in our articles, but again this isn???t quite the same thing. Low level tokens can do things that normal fielded data can???t.
And before we go any further???. Why should you Care?
This is a question we try to think of in almost everything we write. We feel like we owe you that before we drag you deep into this topic.
For simple search applications, Synthetic Tokens may very well be overkill. If you???ve just got a few thousand generic HTML pages, or a simple product database, you may not need this.
However, as search technology is used for more advanced applications, such as research tools, automated classification, or decision making aids, the engines need better data to work with - fancy patents and PHD???s can only do so much ??? fundamentally advanced features are much easier to implement, and have a better chance of actually working, if you feed the engine better data up front.
Many advanced search features, that APPEAR to be ???magic??? at search time, are actually implemented in large part at INDEX time. People see advanced features at search time so there???s a tendency to think something really special is happening right then and there. Since vendors want to look really incredible, peddling their high tech ???magic???, they have little incentive to correct this perception. But vast majority of this ???magic??? happens at index time and is enshrined in these ???fulltext indexes??? we keep talking about.
In the past we???ve already talked about improving data quality, and things like metadata and entity extraction. Synthetic Tokens are yet another way of enhancing the data that is fed into search engine index, so that it has more to work with. Like that pivotal scene from ???The Wizard of Oz???, the fulltext index really is ???the man behind the curtain???.
Why not just use Hybrid Search / SQL-like Filters?
Since we freely admit that some of these tokens overlap with Meta Data, which is in many respects an extension of traditional database fields, why not just use that technology. Engines from Verity and Fulcrum offered what we call ???hybrid search??? back in the 1990???s, where you could combine a fulltext search with a field search. In Verity???s language you could say something like:
<word>(java) <and> <filter>( date > 1-jan-1998 )
The query term ???java??? would be turned into a word token and compared against the fulltext word index of all documents. But the ???date??? field would be scanned more like a traditional database search to find documents matching that criteria. Logically, the two sets of matching documents would then be AND???d together to find the intersection, documents that met both criteria. The innovative thing here was that, unlike a traditional databases, Verity could still rank apply relevancy to the matching documents, so that documents where ???java??? appeared more densely would be ranked closer to the top of the results list.
Many other high end search engines had similar abilities as well, including Semio and Ultraseek. The implementations were different, some engines used techniques much closer to their relational database forbearers ??? other took a more modern approach, including using some aspects of tokenized searching.
But looking back at the example, although documents where the term ???java??? appears more densely would be ranked higher, no variable relevancy was given to the ???date > 1-jan-1998??? clause. Documents either met that criteria or they didn???t.
High-end engines of the day also gave you the ability to sort by date, so if you were really more concerned in recent documents about Java, you could bring them to the top, sorting by date in descending order (most recent document first). This was a nice option, but notice now that you were totally trading in fulltext relevancy (based on Java word density) for date sorting, with the most recent document first, even if the word Java only appeared once in the most recent document.
But what if you wanted to keep the normal fullext relevancy, and just boost the fresher documents a bit higher? This could be done as well, but it was a bit complicated. Assuming it was January 1st, 2000, you could create a query something like:
<accrue>( [.7]<word>(java), [.3] <accrue>( date>1/1/1998, date>1/1/1999, date>7/1/1999), date>12/1/1999)
Don???t get hung up on the syntax, but notice we???ve got 4 date clauses here, one looking back 2 years, the second looking back 1 year, then 6 months and 1 month. The <accrue> operator will essentially <OR> all of these together, but give a bit of extra credit to documents that match multiple criteria. A document from Feb 1st, 1998 would only match one of the four criteria, whereas a document from ???last week??? (remember, we said we???re performing this query on January 1st, 2000) would match all four date criteria. Verity Query Language (VQL) mavens could point out other, more precise VQL constructs, but I want to keep the example relatively simple.
So you could approximate folding in ???freshness??? into the query, without totally swamping the normal fulltext relevancy of the words you search for. Similar accommodations could be made in other languages, and could include not only temporal freshness, but also geographic proximity or document popularity, etc. But the point being it gets rather complicated very quickly, to the point where trying fold in a half dozen different factors would be beyond the patience of most search applicaiton developers.
In more recent times, engines like FAST ESP let you add named concepts like ???freshness??? and ???authority??? directly into the rank profile. And Google is well known for carefully folding in link based popularity into their rankings. These engines freed developers from the drudgery of creating extremely complex queries, and were another step forward in this process. But you???ll have to trust us that this is not the end of the line. Synthetic tokens allow for even more power and flexibility, though we admit you???ll need to strap on your nerd-cap to really appreciate it.
For all we know Google might already be using techniques very similar to the synthetic tokens we???re discussing here, but of course none of us will ever know for sure!
Things Tokens do More Efficiently!
If your view of a search engine is just, well??? for searching, you???re missing out on some of the fun. Search technology, and related technologies, usher in a whole world of new features. If you???ve got a fulltext engine and related tools you can also:
- Automatically cluster documents
- Automatically categorize documents based on a sample training set
- Perform advanced duplicate detection
- Perform spam detection
- Do specialized data mining and Business Intelligence
- Create specialized research robots
- Create search ???agents???
- Spot meaningful trends and changes in content and searches
- Perform entity and page recognition
- Do content profiling
- Provide other machine based (statistics based) pseudo-AI tasks
- Incorporate content summarization, consolidation, fact extraction and cross referencing
- Evaluate sentiment analysis
Most of these techniques rely on the highly specialized search indices and the tokens that live inside. If your traditional fielded data, or your document Meta Data, isn???t deeply folded into this index, it???s can???t fully participate in all the fun!
It may be that you don???t need or want to do any of these fancy things??? in all fairness we did make the title of this article in a question! Not everyone has these requirements - basic systems may just have a ???queries in -> results out??? type of usage model.
Coming up in Part 2: Specific Applicatoins of Synthetic Tokens
What can you actually do with all this stuff? We've got some great examples including Spam and Duplicate Detection, Web 2.0 Apps, Image Search, Unsupervised Clustering, Actuarial Decision Making, Quality of Healthcare Assessment, Business Listings, Investigations and AML (Anti-Money Laundering), eDiscovery / Legal War Room, IP (Intellectual Property) Research, Judgments and Citations, and Tech Support / Help Desk / Customer Service.


--- title: "Garden Adventures" layout: "default" ---
Each Garden Adventures class focuses on a different topic and seeks to help kids connect with plants while encouraging them to explore the wonders of the natural world.
Classes are designed for parents or caregivers to attend and participate with their child.
Class prices vary depending on the take-home craft and include one child and a caregiver. Limit one adult/caregiver per child.
REGISTRATION REQUIRED, NO INFANTS PLEASE.
RED BUTTE GARDEN REFUND AND CANCELLATION POLICY
REGISTRATION REQUIRED
Did you know that sugar comes from plants? Come find out what plants we use to make sugar with and make yourself a plant-based sweet treat to take home.
REGISTRATION REQUIRED
Did you know that you can multiply your plant family from just one plant? We call this propagation. Come learn how and take home a baby houseplant propagated by you from Red Butte's very own greenhouses.
REGISTRATION REQUIRED
Discover the unique uses of several common (and not-so-common!) plants. From healing to textiles, we will investigate how people from around the world use plants before creating your own herbal concoction to take home.
REGISTRATION REQUIRED
Spring is full of inspiration for the poet in all of us, especially here at Red Butte Garden. We’ll talk about this unique literary art form, check out some local poetry on display in the garden, and then get a chance to create nature-inspired poems of our own. What poetry will you be inspired to create?
REGISTRATION REQUIRED
Kick off your celebration of trees! Explore the fascinating world of trees and discover the different varieties found in the Garden. At the end of class, receive a tree seedling to take home and plant in your yard.
REGISTRATION REQUIRED
Did you know butterflies play an important role in helping the Garden grow? Discover how these beautiful bugs help out plants before creating a butterfly feeder you can place in your home garden.
REGISTRATION REQUIRED
You can grow nearly every ingredient needed for salsa right in your own backyard. We’ll learn what makes a salsa a salsa and taste test different varieties in the Sprout house. Afterwards, we’ll plant salsa gardens to take home to help us grow delicious salsas all season long.


{# templates/import_export_batches/batch_list.html #} {% extends "template_base.html" %} {% block title %}List of Batches{% endblock %} {% block content %} {% load template_filters %}
< Back to Import Batches Index
{% if not kind_of_batch %}| # | Batch Name | Action | Election | Processed | Total Records | Date Created |
|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{ one_batch.batch_name }} | review | {% for election in election_list %} {% if election.google_civic_election_id|slugify == one_batch.google_civic_election_id|slugify %} {{ election.election_name }} - {{ election.google_civic_election_id }} - {{ election.election_day_text }} {% endif %} {% endfor %} | {{ one_batch.rows_processed }} | {{ one_batch.total_rows }} | {{ one_batch.date_created }} |
(no batches found)


.rm-section-marker[Welcome] # Welcome to the Cabal Club ??? Hi, and thanks for coming! I'm Alexander Cobleigh (you might have seen me as cblgh on the net) and I'm one of the main developers of cabal. INTRODUCTION Before I dive into how Cabal works, I figured it would be a good idea to introduce what Cabal is. ORIGIN After that I want to give some context as to how Cabal got started as a project. ARCHITECTURE, CLIENTS, FUTURE Then we move into an overview of the architecture, followed by a look at the clients we have today and finally what the future might hold. -- ## Introduction -- ## Origin -- ## Architecture -- ## Clients -- ## Future --- .rm-section-marker[Introduction] # Cabal ??? Okay so, Cabal. Cabal is a local-first, peer-to-peer community platform. (and currently used as an engine of distributed chat clients) It's like IRC with backlog, or free, offline Slack What this means is, * cabal works without servers * anyone can start a chat room (or, cabal) and any number of cabals, thanks to a practically infinite namespace * nobody needs to know anything about servers to join OR create a cabal. because there are no servers * (but you can USE servers as always-online and easy-to-connect-to peers. this is useful when firewalls make some people hard to reach) * cabal works great offline * offline isn't a special case with cabal; just a normal case. i've used cabal when i've been on buses or in cafés without wifi * cabal works great when offline because all messages can be read offline. you have the entire chat history on your computer. and you can write new messages while offline, too * any messages you write when offline will sync to other peers whenever they become available * so that means sync can happen over the internet, or over a local area network (even if there's no internet) * so to summarize: people joining a cabal for the first time will receive all the history of the cabal when they connect with the others who are in it. it's like a saying we have in sweden, sharing is caring ^:^ * cabal exists today * cabal is a thing that exists! it's under active development, and at times things break. but it exists and people use it to chat directly with each other, without any third party intermediaries. and that's pretty cool -- ## a local-first, peer-to-peer community platform -- ### cabal works without servers -- ### cabal works great offline -- ### cabal exists .highlight[today] --- .rm-section-marker[Origin] # A Short History of Cabal -- ## the start ??? The way Cabal originally kicked off was from participating and reading all of these cool discussions around the peer to peer web. Which was great, but they were all on Twitter. And I kind of thought it was ridiculous that we were discussing the possible futures of the web using this hellstorm of a centralized service. At the same time I was also hanging out in really big community slacks, with hundreds of people. And the entire arrangement just felt so fragile; one change to the terms of service and all of those communities would be scattered to the wind. Around this time I had seen Karissa McKelvey and substack work on a really cool project called chatmesh, which was basically cabal but without any channels. On top of *that* Jim Pick had just released an inspiring proof of concept for dat where he demonstrated this shopping list that allowed many devices to add and remove items to and from the shopping list. And it was running in a web browser via glitch! FIRST STEPS Then things kind of became a blur. I wrote up my thoughts on Github on the 22nd of April, 2018 and started prototyping. After I'd gotten things going and I was starting to think about where to go next, Karissa proposed that chatmesh and cabal could merge together to a single project. And so we did and formed the cabal club. Around this time Noffle was also working on something called kappa-chat, and soon they also joined the project. Nikolaiwarner joined the fray as well and became a core contributor, and we were constantly getting lots of really nice drive-by pull requests adding features to clients. NOW Right now we have a stable core of 4 developers * Tony Ivanov (or Telamon) that's been pushing out amazing updates to the really hard and technical parts of Cabal * Nikolai Warner, who's been creating entirely new clients * Noffle, who has been fixing tricky replication bugs * and myself, I kind of dabble in all of the above at once hehe -- ## first steps -- ## now --- .rm-section-marker[Architecture] # Overview * Public key-based identity (ed25519) * Peers * Logs * Messages * Views * Connectivity ??? Let's move on to the guts of Cabal. --- .rm-section-marker[Architecture] # Peers ??? Let's start with peers. The peer is the agent doing the writing and posting of messages. -- ### Keypairs ??? Each peer is represented by a keypair (one key is the public key, and the other key is the so called private key). -- ### The Log
??? A peer writes messages to a log using their private key, and only that peer can write messages to their log. --- count: false .rm-section-marker[Architecture] # Peers ### Keypairs ### The Log
??? An important point is that we only ever _append_ to this log. We never delete from it, or insert entries at earlier points in history. The reason being that this append-only nature proves itself to have many valuable properties for distributed systems which generally make life a thousand times easier, but going deep on those properties is a bit out of the scope for this session. This append-only log is eventually shared with other peers. --- count: false .rm-section-marker[Architecture] # Peers ### Keypairs ### The Log ### Connectivity
??? To share logs between themselves, peers connect to each other over a kind of rendezvous, by which i mean a piece of information that ties the disparate peers together into a cohesive whole. This rendezvous is the cabal key. The cabal key is basically a 64 character long string. (a string representation of an ed25519 public key; since the key is only ever used to generate the namespace, or cabal key, we throw away the private key.) --- count: false .rm-section-marker[Architecture] # Peers ### Keypairs ### The Log ### Connectivity ### Views
??? So now we have a bunch of logs, one from each peer. Each log is then combined into a cohesive view, like individual ingredients used to bake a single cake. This view is created by taking the individual messages from each log and interleaving them based on a measure of time. Currently that measure is just a timestamp, but we'll make it more robust in the future. Each interleaved message has a message type and optionally content relating to the particular message type. Cabal as it is today currently defines a few message types, but the types are not enforced by the protocol. The message types ARE agreed upon by the current clients, but anyone can come along and create a new client which defines entirely new message types and disregards all the existing ones, if they'd like to. Their client would work just as well as any of the other clients, and without needing to rewrite any core parts of the library. --- class: middle center .rm-section-marker[Architecture] # Kappa Architecture ??? So this structure that we've seen here, where you have a log which you only ever append to, and then creating a view of the current state by using the log. This a pattern known as a kappa architecture and it's starting to become popular as an alternative to the kinds of databases that have been used so far in software development. There are some good resources on the net which can help you grok the idea, including a lecture by martin kleppman and a nodejs kappa workshop by noffle. You'll find them easily if you duckduckgo. --- .rm-section-marker[Architecture] # Dependency Hierarchy ``` cabal clients cabal-core cabal-core discovery-swarm dat-swarm-defaults kappa-view-level kappa-core multifeed-index multifeed hypercore hypercore-protocol ``` --- .rm-section-marker[Architecture] # Summary ??? **So to summarize** * We have a chat view, and this view is composed of messages. * Each messsage has a message type and comes from a single log. * The log belongs to a peer. The log is append-only. * And peers connect to each other over a cabal key in a mesh-like fashion. -- * We have a chat view, and this view is composed of messages. -- * Each messsage has a message type and comes from a single log. -- * The log belongs to a peer. The log is append-only. -- * And peers connect to each other over a cabal key in a mesh-like fashion. --- class: middle center .rm-section-marker[Clients] # Clients --- .rm-section-marker[Clients] # Cabal Terminal Client
--- .rm-section-marker[Clients] # Cabal Desktop
??? * needs patching --- .rm-section-marker[Clients] # Cabal Mini
--- .rm-section-marker[Clients] # Cabal Mobile
??? * needs contributor help with react native parts * ask andré if he can help now that he's in berlin? --- .rm-section-marker[Clients] # Message Land
??? * a web client made by joe hand, that i'll talk more about soon --- .rm-section-marker[Clients] # Community Projects ??? As can be seen by the clients, we've been blessed by wonderful contributors. A few more of those projects are -- * cabal-ses-bot by **Jim Pick** -- * message.land by **Joe Hand** -- * paperslip by **cblgh** -- * crepes by **cblgh** ??? #### Use cases * dw blair and farm communication * toronto mesh has been researching how to add app support for cabal to their meshnet * hoodownr and anonymous community venting for art project --- .rm-section-marker[Future] # In the Pipeline -- * at-rest encryption & blind peers ??? * the idea behind a blind peer is basically allowing anyone to help host your cabal, but without being able to see any of the history or who is in a cabal. it will be really cool once we get into place -- * `cabal-client`: a minimal library for building your own client -- * moderation ??? * in addition to working on cabal and working 60%, i'm currrently doing my master's thesis on the topic of moderation in decentralised chat systems. or more formally _"How to hide peers exhibiting malicious behaviour in a distributed chat context"_ * the aim is to produce a nodejs module that can be used by any decentralised chat system (whether cabal or scuttlebutt) to implement a trust layer untop of the system's replication layer. -- * DNS shortnames e.g. * cabal://cabal.chat * cabal://cblgh.org -- * private channels --- class: middle center .rm-section-marker[Future] # Funding ??? All of the stuff I've talked about for the past few minutes has been accomplished without any kind of funding. Now imagine what we could do if someone was working on cabal as a paid position, and able to dedicate work hours towards enriching the commons. I think we could push the discusson in and around our peer to peer movement foward. If you have any leads on non-venture capital funding, whether that's direct funding or help and tips on writing grants - please come talk to me as I'd love to chat :) --- .rm-section-marker[Future]
??? I also want to thank everyone who's joined the cabal club by contributing to the clients or the core. It's been so cool when someone comes by, says hi and then go say something like "oh and btw, here's a pull request to add *really cool and unexpected feature*". It floors me like literally every time. --- class: middle center .rm-section-marker[Fin.] # Thanks ### http://cabal.chat ###<EMAIL_ADDRESS>??? Alright, I think that's all from me. If you want to get in touch with me, you can use that email there. Thanks.


nips nips2004 nips2004-32 nips2004-32-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Ligen Wang, Balázs Kégl
Abstract: In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve A DA B OOST by incorporating knowledge on the structure of the data into base classiﬁer design and selection. On the other hand, we use A DA B OOST’s efﬁcient learning mechanism to signiﬁcantly improve supervised and semi-supervised algorithms proposed in the context of manifold learning. Beside the speciﬁc manifold-based penalization, the resulting algorithm also accommodates the boosting of a large family of regularized learning algorithms. 1
[1] Y. Freund and R. E. Schapire, “A decision-theoretic generalization of on-line learning and an application to boosting,” Journal of Computer and System Sciences, vol. 55, pp. 119–139, 1997.
[2] L. Mason, P. Bartlett, J. Baxter, and M. Frean, “Boosting algorithms as gradient descent,” in Advances in Neural Information Processing Systems. 2000, vol. 12, pp. 512–518, The MIT Press.
[3] G. R¨ tsch, T. Onoda, and K.-R. M¨ ller, “Soft margins for AdaBoost,” Machine Learning, vol. a u 42, no. 3, pp. 287–320, 2001.
[4] M. Belkin and P. Niyogi, “Semi-supervised learning on Riemannian manifolds,” Machine Learning, to appear, 2004.
[5] J. Shi and J. Malik, “Normalized cuts and image segmentation,” IEEE Transactions on Pettern Analysis and Machine Intelligence, vol. 22, no. 8, pp. 888–905, 2000.
[6] G. R¨ tsch and M. K. Warmuth, “Maximizing the margin with boosting,” in Proceedings of the a 15th Conference on Computational Learning Theory, 2002.
[7] L. Breiman, “Prediction games and arcing classiﬁers,” Neural Computation, vol. 11, pp. 1493– 1518, 1999.
[8] R. E. Schapire, Y. Freund, P. Bartlett, and W. S. Lee, “Boosting the margin: a new explanation for the effectiveness of voting methods,” Annals of Statistics, vol. 26, no. 5, pp. 1651–1686, 1998.
[9] A. Antos, B. K´ gl, T. Linder, and G. Lugosi, “Data-dependent margin-based generalization e bounds for classiﬁcation,” Journal of Machine Learning Research, pp. 73–98, 2002.
[10] R. E. Schapire and Y. Singer, “Improved boosting algorithms using conﬁdence-rated predictions,” Machine Learning, vol. 37, no. 3, pp. 297–336, 1999.
[11] B. K´ gl, “Robust regression by boosting the median,” in Proceedings of the 16th Conference e on Computational Learning Theory, Washington, D.C., 2003, pp. 258–272.
[12] M. Belkin, I. Matveeva, and P. Niyogi, “Regression and regularization on large graphs,” in Proceedings of the 17th Conference on Computational Learning Theory, 2004.


-
{% for sub in submissions %}
- {{ sub.title }} {% if sub.has_award %}{{ sub.get_award_badge(check_champ=True)|safe }}{% endif %} {% if sub.editable_by(user=request.user) and request.challenge.is_open() %} Edit your game {% endif %} {% endfor %}
No entries yet!
{% if category %}We currently don't have any entries in the {{ category }} category, this means that if you're quick you might be able to be the first.
{% else %}We currently don't have any entries, this means that if you're quick you might be able to be the first.
{% endif %} Submit a game! {% endif %}


Input Data Requirement¶
For versions ealier than v1.6.0, e3sm_diags runs with seasonal and annual mean climatology datasets generated using NCO. The E3SM output on native grid needs to be regridded/remapped first and split to climo files. (The program can not read h0 files directly) For instance, the usual way to generate climatology files (produce monthly + seasonal + annual climos from monthly input files) is to use ncclimo (a NCO operator) as follows:
ncclimo -s start_yr -e end_yr -c run_id -i drc_in -o drc_out -r map_fl -O drc_rgr -a sdd --no_amwg_links
for EAM output.
A short summary of the most common options is:
-a: type of DJF average. Either -a scd (default) or -a sdd. scd means seasonally continuous December. The first month used will be Dec of the year before the start year you specify with -s. sdd means seasonally discontinuous December. The first month used will be Jan of the specified start year.
-C: Climatology mode. Either "mth" (default, and for monthly input files) or "ann" (for annual input files).
-c: caseid, i.e., simulation name. For input files like famipc5_ne30_v0.3_00001.cam.h0.1980-01.nc, specify "-c famipc5_ne30_v0.3_00001". The ".cam." and ".h0." bits are added to the filenames internally by default, and can be modified via the "-m mdl_nm" and "-h hst_nm" switches if needed. See comments in ncclimo for documentation.
-e: end year (example: 2000). Unless the optional flag "-a sdd" is specified, the last month used will be Nov of the specified end year. If "-a sdd" is specified, the last month will be Dec of the specified end year.
-h: history file volume that separates the model name from the date in the input file name. Default is "h0". Other common values are "h1" and "h".
-i: directory containing all netcdf files to be used for input to this code.
-m: model type. Default is "cam". Other options are "clm2", "ocn", "ice", "cism", "cice", "pop".
-o: directory where computed native grid climo files will be placed. Regridded climos will also be placed here unless a separate directory for them is specified with -O (NB: capital "O")
-O: directory where regridded climo files will be placed.
-s: start year (example: 1980). The first month used will be Dec of the year before the start year you specify (example Dec 1979 to allow for contiguous DJF climos). If "-a sdd" is specified, the first month used will be Jan of the specified start year.
-v: variable list, e.g., FSNT,AODVIS,PREC.? (yes, regular expressions work so this expands to PRECC,PRECL,PRECSC,PRECSL)
Please see instructions on Generate, Regrid, and Split Climatologies (climo files) with ncclimo and ncremap. The NCO documentation can be found here.
To be readable by e3sm_diags, the resulting climatology filenames should remain their NCO sytle, i.e.,starting with simulation name and the season name, e.g., 20161118.beta0.F1850COSP.ne30_ne30.edison_ANN_climo.nc
.
Note, the program searches files based on simulation name and season name, the input directory (test_data_path) should only contain the re-gridded/post_processed data for one run. If you have multiple climatology files generated with the same simulation (i.e., climo over different time period), please place each set of climatology files in individual folders.
Beginning version v1.6.0, the software can also run with time-series datasets (i.e., multiple years included in one file for each variable). Before running the program, the raw model output should be ran through NCO, which created the time-series files. Below is an example to reshape a series of input files into outputs that are continuous timeseries of each variable taken from all input files.
drc_in=/scratch2/scratchdirs/golaz/ACME_simulations/20161117.beta0.A_WCYCL1850S.ne30_oEC_ICG.edison/run
map_fl=${DATA}/maps/map_ne30np4_to_fv129x256_aave.20150901.nc
# Read list from file
ls $drc_in/*cam.h0.0[012]??* > input_list
ncclimo --dbg=0 --yr_srt=1 --yr_end=250 --var=FSNT,AODVIS --map=$map_fl --drc_out=$drc_out --drc_rgr=$drc_rgr < input_list
# Pipe list to stdin
cd $drc_in
ls *cam.h0.0[012]??* | ncclimo --dbg=0 --yr_srt=1 --yr_end=250 --var=FSNT,AODVIS --map=$map_fl --drc_out=$drc_out --drc_rgr=$drc_rgr
# List as positional arguments
ncclimo --var=FSNT,AODVIS --yr_srt=1 --yr_end=250 --map=$map_fl --drc_out=$drc_out --drc_rgr=$drc_rgr $drc_in/*cam.h0.0[012]??*.nc
# Read directory
ncclimo --var=T,Q,RH --yr_srt=1 --yr_end=250 --drc_in=$drc_in --map=$map_fl --drc_out=$drc_out --drc_rgr=$drc_rgr
Note that map_ne30np4_to_fv129x256_aave.20150901.nc
is an example mapping files we are using. For more mapping files available for e3sm, please refer to https://web.lcrc.anl.gov/public/e3sm/mapping/grids/.
The output is a collection of per-variable timeseries such as FSNT_YYYYMM_YYYYMM.nc
, AODVIS_YYYYMM_YYYYMM.nc
, etc. The output is split into segments each containing no more than ypf_max (default 50) years-per-file, e.g., FSNT_000101_005012.nc
, FSNT_005101_009912.nc
, FSNT_010001_014912.nc
, etc.
If you are using time series from CMIP style files, the model data file names must follow the naming conventions as follows, where you have
<variable>_<start_yr>01_<end_yr>12.nc
. Ex: renaming tas_Amon_CESM1-CAM5_historical_r1i2p1_196001-201112.nc
to tas_196001_201112.nc
.
All of the variables should be in the same directory. Please refer to the test data format available on NERSC (/global/cfs/cdirs/e3sm/acme_diags/test_model_data_for_acme_diags/time-series/) for examples.
Preprocessing Steps¶
Some diagnostic sets require preprocessing steps. See this script for postprocessing E3SM data (i.e., preprocessing for E3SM Diags).
QBO: monthly
U
(if different start_year and end_year are wanted for test/ref, the number of years need to remain the same)Streamflow: monthly
RIVER_DISCHARGE_OVER_LAND_LIQ
andareatotal2
. Example for splitting mosart timeseries files using latest NCO (NCO 4.9.6 includes the--var_xtr
option, which can be used to specify the extra variables to include in timeseries that the splitter produces):cd ${drc_in}; ls *mosart.h0.20*nc | ncclimo --var_xtr=areatotal2 -v RIVER_DISCHARGE_OVER_LAND_LIQ --yr_srt=2000 --yr_end=2014 --drc_in=$drc_in --drc_out=$drc
Diurnal Cycle: seasonal/annual mean diurnal cycle climo Example for Compy:
#!/bin/bash source /share/apps/E3SM/conda_envs/load_latest_e3sm_unified.sh # Low-res Compy simulations drc_in=/compyfs/zhen797/E3SM_simulations/20201027.alpha5_v1p-1.amip.ne30pg2_r05_oECv3.compy/archive/atm/hist drc_out=/qfs/people/zhan429/postprocess_scripts/diurnal_climo/native drc_rgr=/qfs/people/zhan429/postprocess_scripts/diurnal_climo/rgr caseid=20201027.alpha5_v1p-1.amip.ne30pg2_r05_oECv3.compy.eam.h4 cd ${drc_in};ls ${caseid}*{1980..2014}*.nc | ncclimo --clm_md=hfc --caseid=$caseid -v PRECT --ypf=1 --yr_srt=1980 --yr_end=2014 --drc_out=${drc_out} -O $drc_rgr --map=/qfs/people/zender/data/maps/map_ne30pg2_to_cmip6_180x360_aave.20200201.nc


Scan contact card
Software developer with an experience in .net and cloud.
A collection of projects authored by Eddie, and likely shared out with the community as an open source project.
This is distributed tracing mechanism for tracing Microsoft's financial transaction flowing through multiple subsidiaries and making them available to the stakeholders through a UI powered by REST API
See all Creations for more examples!
A collection of efforts to which I contributed, but did not create. Contributing back to Open Source projects is a strong passion of mine, and requires a considerate approach to learn norms, standards and approach for each community for a successful merge!
Uses Async call to lucene index for super fast autocompletion to address performance issue loading config.
See all Open Source Contributions for more examples!
A collection of articles, presentations or talks, most likely on Culture and DevOps, because let’s admit it, they are one in the same ;)
Developed distributed transaction tracing system
Developed cloud based transaction processing infrastructure for Microsoft transactions


{% extends "logical/database/details/base.html" %} {% load admin_static %} {% block extrastyle %} {{ block.super }} {% endblock %} {% block tab %}
{% include "admin/confirmation_modal.html" with modal_id="resize_disk" confirmation_message="Are you sure you want to resize the disk?" box_title="Resizing the disk" button_type="submit" button_value="Resize" button_name="disk_resize" id_optional="id=id_resize_disk_btn_modal" %} {% include "admin/confirmation_modal_input.html" with modal_id="upgrade_disk_type" title="Upgrading the disk type" body_text="logical/modal/upgrade_disk_type_body.html" input_name="upgrade_disk_type_yes" submit_button_value="Upgrade Disk Type" submit_button_name="upgrade_disk_type" submit_button_id="id_upgrade_disk_type_btn_modal" class="btn-primary"%} {% endblock %} {% block js_footer %} {{ block.super }} {% endblock %}


Don’t see exactly what you need? We can probably work something out.
Just drop us a note, and someone from our team will be in touch to discuss enterprise options.
We will support any release of Sails. If you are on an older version of Sails and want to upgrade, we can help guide you through that process. However, if you are on an older version and want to stay put, we respect that too.
Yes. If you are using a forked version of Sails, we strongly encourage you to schedule office hours with a core team member soon after joining Flagship to discuss the changes you’ve made. There is a good chance we can work with you to get improvements and flexibility into Sails core that would allow you to move off of your fork entirely.
A code review is a scheduled time block for a core team member to go through your code and provide feedback. You can choose to be present for the session and receive comments as the reviewer goes along, or you can just get the final notes after the review is complete. (In that case, notes will be tidied up and sent to you by the end of the day.)
When you schedule your code review, we will ask you to send us a link to the specific code snippets or files you would like us to look at, either compiled into a private gist, or uploaded to Dropbox/Google Drive/etc. If you'd prefer to use a different process, open a ticket to let us know.
We approach code reviews through the lens of maintainability, security, and scalability. For example, if we notice that your code contains an edge case that would crash your server under certain conditions, we'll point it out and show you how to fix it.
Your Flagship account is shared between all members of your team, but everyone communicates one-on-one with the Sails core team: when someone creates a support ticket or a calendar event, we ask for the team member's name and email so we know who we're talking to.
By default, we send receipts and billing reminders to the email used for your Flagship login. If you have a separate email address you’d like to use for billing notifications, just create a support ticket letting us know where to send them.
We bill month-to-month by default, but if you'd like to switch to annual or quarterly billing, just open a ticket to let us know. (We offer a discount for pre-paid plans.)
Become a Flagship member and get access to our crew today.
Join nowOr, contact us for more info.


|
cds
1.2.0
|
Gidenstam's Garbage Collector. More...
#include <cds/gc/hrc/hrc.h>
Data Structures | |
| struct | internal_state |
| GC internal statistics. More... | |
| struct | statistics |
| Internal statistics by events. More... | |
| struct | thread_list_node |
| HRC control structure of global thread list. More... |
Public Types | |
|
typedef cds::atomicity::event_counter | event_counter |
| event counter type |
Public Member Functions | |
| CDS_DECLARE_EXCEPTION (HRCGarbageCollectorEmpty,"Global cds::gc::hrc::GarbageCollector is NULL") | |
| "Global GC object is NULL" exception | |
| CDS_DECLARE_EXCEPTION (HRCTooMany,"Not enough required Hazard Pointer count") | |
| Not enough required Hazard Pointer count. | |
| size_t | getHazardPointerCount () const |
| Get max count of hazard pointers as defined in Construct call. | |
| size_t | getMaxThreadCount () const |
| Get max thread count as defined in Construct call. | |
| size_t | getMaxRetiredPtrCount () const |
| Get max retired pointers count. It is calculated by the parameters of Construct call. | |
| internal_state & | getInternalState (internal_state &stat) const |
| Get internal statistics. | |
| bool | isStatisticsEnabled () const |
| Check if statistics enabled. | |
| bool | enableStatistics (bool bEnable) |
| Enable internal statistics. | |
| details::thread_descriptor * | allocateHRCThreadDesc (ThreadGC *pThreadGC) |
| Allocates HRC thread descriptor (thread interface) | |
| void | retireHRCThreadDesc (details::thread_descriptor *pRec) |
| Retires HRC thread descriptor (thread interface) | |
| void | Scan (ThreadGC *pThreadGC) |
| The main method of GC. | |
| void | HelpScan (ThreadGC *pThreadGC) |
Manage free thread_descriptor records and move all retired pointers to pThreadGC . | |
| void | CleanUpAll (ThreadGC *pThreadGC) |
| Global clean up. |
Static Public Member Functions | |
| static void CDS_STDCALL | Construct (size_t nHazardPtrCount=0, size_t nMaxThreadCount=0, size_t nMaxNodeLinkCount=0, size_t nMaxTransientLinks=0) |
| Create global instance of GarbageCollector. | |
| static void CDS_STDCALL | Destruct () |
| Destroy global instance of GarbageCollector. | |
| static GarbageCollector & | instance () |
| Get global instance of GarbageCollector. | |
| static bool | isUsed () |
| Checks if global GC object is constructed and may be used. | |
| static void | checkHPCount (unsigned int nRequiredCount) |
Checks that required hazard pointer count nRequiredCount is less or equal then max hazard pointer count. |
Private Member Functions | |
| thread_list_node * | newHRCThreadDesc () |
| Allocates new HRC control structure from the heap (using operator new) | |
| void | deleteHRCThreadDesc (thread_list_node *pNode) |
Deletes pNode control structure. | |
| void | clearHRCThreadDesc (thread_list_node *pNode) |
Clears retired nodes of pNode control structure. | |
| thread_list_node * | getHRCThreadDescForCurrentThread () const |
| Finds HRC control structure for current thread. |
Private Attributes | |
| std::atomic< thread_list_node * > | m_pListHead |
| Head of thread list. | |
| statistics | m_Stat |
| Internal statistics. | |
| bool | m_bStatEnabled |
| true - accumulate internal statistics | |
| const size_t | m_nHazardPointerCount |
| max count of thread's hazard pointer | |
| const size_t | m_nMaxThreadCount |
| max count of thread | |
| const size_t | m_nMaxRetiredPtrCount |
| max count of retired ptr per thread |
Static Private Attributes | |
| static GarbageCollector * | m_pGC |
| HRC garbage collector instance. |
Gidenstam's Garbage Collector.
This GC combines Hazard Pointers (HP) reclamation method by Michael's and the well-known reference counting reclamation schema. The HP method is light-weight algorithm guarding local references only. Reference counting schema is harder than HP with relation to the performance but can guard global references too. Using Gidenstam's GC it can be possible to safely introduce to the lock-free data structures very useful concepts like iterators.
GarbageCollector is the singleton.
|
inlinestatic |
Checks that required hazard pointer count nRequiredCount
is less or equal then max hazard pointer count.
If nRequiredCount
> getHazardPointerCount() then the exception HZPTooMany is thrown
| void cds::gc::hrc::GarbageCollector::CleanUpAll | ( | ThreadGC * | pThreadGC | ) |
Global clean up.
The procedure try to remove redundant claimed references from links in deleted nodes that has been deleted by any thread. pThreadGC
- ThreadGC of calling thread
|
static |
Create global instance of GarbageCollector.
| nHazardPtrCount | number of hazard pointers |
| nMaxThreadCount | max threads count |
| nMaxNodeLinkCount | max number of links a ContainerNode can contain |
| nMaxTransientLinks | max number of links in live nodes that may transiently point to a deleted node |
| void cds::gc::hrc::GarbageCollector::Scan | ( | ThreadGC * | pThreadGC | ) |
The main method of GC.
The procedure searches through all not yet reclaimed nodes deleted by this thread and reclaim only those that does not have any matching hazard pointers and do not have any counted references from any links inside of nodes. Scan is called in context of thread owned pRec
.


Click
Key Pressed:
Memory game:
9 cell
16 cell
Stopwatch Demo
Promise
Display here
Product Catalog Demo
Text Analytics API Demo


Apr. 07, 2008
Fraydoun Rezakhanlou
Random Growth Models, Combinatorics and the Hamilton-Jacobi Equation
As a classical problem in combinatorics, consider the longest increasing
subsequence of a random permutation of the sequence 1,2,...,n. By a
result of Vershik-Kerov and Logan-Shepp, the length of such a random
subsequence L_n is approximately 2\sqrt{n}. Recently Baik, Deift and
Johansson settled a long standing open problem by showing that the
fluctuations of L_n are of order n^{1/6}. In this lecture, I explain how
probabilistic arguments can be used to study L_n. After the work of
Hammerseley and Aldous-Diaconis, a random growth process known as the Hammersely
model is used to get insight into the behavior of L_n as n gets large.
This model is one of the most basic examples of growth processes which are
described by Hamilton-Jacobi PDEs in macroscopic coordinates.
PDF


Edit Requirements for Process {{processName}}
New
Delete
Name:
Description:
{{currentRequirement.description}}
Update requirement
Dependencies
Submit Dependencies
Properties
Add a new property
Property Name:
Property Value:
Add property


Migrating a GtkStyle based engine to a GtkThemingEngine based one should be straightforward for most of the vfuncs. Besides a cleanup in the available paint methods and a simplification in the passed arguments (in favor of GtkStyleContext containing all the information), the available render methods resemble those of GtkStyle quite evidently. Notable differences include:
gtk_paint_box()
, gtk_paint_flat_box()
,
gtk_paint_shadow()
, gtk_paint_box_gap()
and gtk_paint_shadow_gap()
are replaced by gtk_render_background()
, gtk_render_frame()
and
gtk_render_frame_gap()
. The first function renders frameless
backgrounds and the last two render frames in various forms.
gtk_paint_resize_grip()
has been subsumed by gtk_render_handle()
with a GTK_STYLE_CLASS_GRIP class set in the style context.
gtk_paint_spinner()
disappears in favor of gtk_render_activity()
with a GTK_STYLE_CLASS_SPINNER class set in the style context.
The list of available render methods is:
gtk_render_background() : Renders a widget/area background.
|
gtk_render_frame() : Renders a frame border around the given rectangle.
Usually the detail of the border depends on the theme information,
plus the current widget state.
|
gtk_render_frame_gap() : Renders a frame border with a gap on one side.
|
gtk_render_layout() : Renders a PangoLayout.
|
gtk_render_handle() : Renders all kind of handles and resize grips,
depending on the style class.
|
gtk_render_check() : Render checkboxes.
|
gtk_render_option() : Render radiobuttons.
|
gtk_render_arrow() : Renders an arrow pointing to a direction.
|
gtk_render_expander() : Renders an expander indicator, such as in
GtkExpander.
|
gtk_render_focus() : Renders the indication that a widget has the
keyboard focus.
|
gtk_render_line() : Renders a line from one coordinate to another.
|
gtk_render_slider() : Renders a slider, such as in GtkScale.
|
gtk_render_extension() : Renders an extension that protrudes from
a UI element, such as a notebook tab.
|
gtk_render_activity() : Renders an area displaying activity, be it
a progressbar or a spinner.
|
gtk_render_icon_pixbuf() : Renders an icon into a GdkPixbuf.
|
One of the main differences to GtkStyle-based engines is that the
rendered widget is totally isolated from the theme engine, all style
information is meant to be retrieved from the GtkThemingEngine API,
or from the GtkWidgetPath obtained from gtk_theming_engine_get_path()
,
which fully represents the rendered widget's hierarchy from a styling
point of view.
The detail string available in GtkStyle-based engines has been
replaced by widget regions and style classes. Regions are a way for
complex widgets to associate different styles with different areas,
such as even and odd rows in a treeview. Style classes allow sharing
of style information between widgets, regardless of their type.
Regions and style classes can be used in style sheets to associate
styles, and them engines can also access them. There are several
predefined classes and regions such as GTK_STYLE_CLASS_BUTTON
or
GTK_STYLE_REGION_TAB
in gtkstylecontext.h
,
although custom widgets may define their own, which themes may
attempt to handle.


Windows 10 Version 2004 Download With Media Creation Tool Pureinfotech
Media Creation Tool Download 2021 Latest For Windows 10 8 7
How To Download Windows 10 With Media Creation Tool Youtube
Window 10 Media Creation Tool Free Download Ios Image
Windows 10 Version 1909 Download With Media Creation Tool Pureinfotech
How To Download Windows 10 Iso Using Media Creation Tool
Download Windows 10 Iso With Media Creation Tool Itechguides Com
Microsoft Tool To Download Windows 8 1 Iso And Create Installation Media Password Recovery
Download Windows Media Creation Tool For Windows Free 1 0
How To Download Windows 10 Iso Files With And Without The Media Creation Tool Winbuzzer
Download Windows 10 Iso File Images Ricmedia Pc Help
Media Creation Tool For Windows 10 May 2019 Update Now Available For Download
Download Windows 7 8 10 Iso Using Media Creation Tool
What Windows 10 Version Does The Media Creation Tool Download
Download Windows 10 Version 1909 And Create A Bootable Usb Windows 10 Installation Guides
How To Download Windows 10 From Microsoft Com Media Creation Tool Tutorial Youtube
Windows 10 Media Creation Tool Is A Portable Program Which Provides A Way To Update Your Desktop To Windows 10 Download Windows Media Windows 10 Windows Media
Download Windows 10 Iso File Tutorials
With The Media Creation Tool You Can Now Upgrade To The Windows 10 May 2019 Update Without Becoming An Insider Mspoweruser
Windows 10 Version 1903 Download With Media Creation Tool Pureinfotech
Using Microsoft S Windows 10 Media Creation Tool To Download An Iso File
How To Download The Latest Windows 10 Iso File Surfacetip
Resume Windows 10 Download After It Fails From The Media Creation Tool


This application was completed in React as a test for Return Path in order to my ability as a front end developer. I was asked to build an application that took a JSON list of email senders and related information, and match a wire frame using this data.


The overall scrolling smoothness. It's an average between Steadiness and FPS. You get 5★ only if Steadiness is good and FPS is high. 4★ if FPS is high and Steadiness is mediocre. 3★ if FPS and Steadiness are mediocre. 2★ and 1★ if FPS and Steadiness are poor.
This value shows the ability of your specific browser/device to perform the test. Medium resolution is considered good enough for reliable results. High is just for browsers that supports asynchronous scrolling (ie: only Chrome with gpuBenchmarking).
Your value is %resolution% because we use %animation% for animation and %timer% as a timer.
Steadiness tells you if the framerate is constant. Ideally you want a steady framerate AND a high FPS. Scrollbench counts the number of frames that are 10% faster or 10% slower (aka jerky frames) than the average. The steadiness is poor if the number of jerky frames is higher than the 10% of the total.
The animation runtime. This is the duration of the whole animation, ie: the sum of all the passes. You also find the average time per pass. The default number of passes is 2, meaning that the page is scrolled from top to bottom two times.
The distance in pixels that the page has to scroll to reach the bottom of the page. This value is obtained subtracting the page height to the scroll height. Note that a short travel doesn't garantee reliable results.
The average Frames Per Second the animation has being performed at. Ideally the animation should run at the same refresh rate of the device monitor (normally 60hz). An FPS lower than 50 throws a warning.


Sample projects. These projects began life as research to help drive the development of the core. They are kept here as example of some of the things the RGIK can do.
Data files required by these projects are kept in project-specific directories
under projects
in the root of the RGIK system. If any output files
are generated, they will be written to a project-specific directory under
build
, our standard scratchpad area.


River and Flamengo eye history in Copa Libertadores final
by FRANKLIN BRICEÑOLIMA, Peru (AP) - Flamengo defender Filipe Luis has faith in his side’s ability. Their nerves he’s not so sure about.
Filipe Luis believes River Plate’s greater amount of experience in finals gives the Argentine side the edge for the Copa Libertadores final on Saturday.
“They have had many moments of pressure and managed to overcome them with cool, easily,” Felipe Luis says. “That plays in their favor. They are the best team now. Many of our players arrived this year. We are still getting to know each other.”
River is going after its third Copa crown in four years, which would enhance its case as the best club in South America in this decade. But since the beginning of the century no team has managed to win back-to-back Copa Libertadores.
“We are the defending South American champions and we will make that count against a very strong rival,” River coach Marcelo Gallardo says.
Flamengo is poised to end a 38-year drought in the tournament, which dates to the days of Zico, its great No. 10. The team’s attacking formation, led by former Inter Milan flop Gabriel Barbosa, has thrilled fans of Brazil’s most popular club.
Flamengo has reached the final unbeaten in its last 21 matches. The Rio de Janeiro team is so dominant at home that it could win the Brazilian championship after Saturday’s final without playing.
All it takes is Palmeiras failing to beat Gremio, which would give Flamengo its first Brazilian title in 10 years with four matches in hand. Despite the home success, its only Copa Libertadores came in 1981.
Flamengo coach Jorge Jesus, who has transformed the team in less than six months, also wants his history to change. Jesus has never won an international title. He lost two Europa League finals with Benfica, in 2013 and 2014.
“In matches like this, the one who is more focused and makes less mistakes will win,” River striker Rafael Santos Borré said. “That is the kind of match that we players like.”
The first single-match Copa Libertadores final will be played in front of more than 65,000 fans at Lima’s Monumental Universitário Stadium. The match was originally scheduled for Santiago’s National Stadium, but it was moved because of street protests in Chile.
River narrowly eliminated archrival Boca Juniors in the semifinals, the same adversary it beat in the 2018 decider. Flamengo crushed local adversary Gremio 6-1 on aggregate, including a 5-0 thrashing at the Maracanã.
Both teams enjoy keeping possession and are keen to attack.
Gallardo will use his traditional 4-4-2 tactics, while Flamengo’s Jesus will use a 4-1-3-2.
Security involves 10,000 police, two helicopters and drones.
More AP soccer: https://apnews.com/Soccer and https://twitter.com/AP_Sports
Sign up for Daily Newsletters
Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


You come across the Computer Card Catalogue.
Part of you wishes that it was a retro wooden shelf system—one filled with thousands of index cards with titles and dewy decimal numbers on them.
Instead, you get a computer queued up to the library website, but what can you do?
| Go North | ||
| Go West | Go East | |
| Go South |


10. Changing the visualization
The in-situ visualization in this workflow is managed by Ascent, which
looks for a vis definition in the
ascent_actions.yaml
file. Therefore, executing with a different
ascent_actions.yaml
file will
change the visualization that is output to the cinema database.
To change the visualization, copy a different file to the run directory:
pushd ~/pantheon/tutorial/inputs/ascent
cp ascent_actions_iso.yaml ascent_actions.yaml
popd
|
|
| Original visualization |
Isosurface visualization |

You can also edit the
ascent_actions.yaml
file to
change the number of images that are written out, by changing the values for the following variables. This will increase the runtime of the workflow, so only change them if you're OK with a longer run time:
phi
controls the number of positions around the vertical axis.
theta
controls the number of positions around the horixontal axis.
-
action: "add_scenes"
scenes:
s1:
plots:
p1:
type: "volume"
field: "energy"
min_value: 1
max_value: 3
renders:
r1:
image_width: 512
image_height: 512
type: "cinema"
phi: 1
theta: 1
db_name: "pantheon.cdb"


Disabled Functions¶
In this section, we will cover the following functions in-depth listed below:
uadmin.APIDisabledAdd¶
APIDisabledAdd controls the data API’s disabled for add commands. By default, APIDisabledAdd returns false.
Type:
bool
uadmin.APIDisabledAdder¶
APIDisabledAdder is an interface for models to disable access to add function in dAPI.
Type:
interface
uadmin.APIDisabledDelete¶
APIDisabledDelete controls the data API’s disabled for delete commands. By default, APIDisabledDelete returns false.
Type:
bool
uadmin.APIDisabledDeleter¶
APIDisabledDeleter is an interface for models to disable access to delete function in dAPI.
Type:
interface
uadmin.APIDisabledEdit¶
APIDisabledEdit controls the data API’s disabled for edit commands. By default, APIDisabledEdit returns false.
Type:
bool
uadmin.APIDisabledEditor¶
APIDisabledEditor is an interface for models to disable access to edit function in dAPI.
Type:
interface
uadmin.APIDisabledRead¶
APIDisabledRead controls the data API’s disabled for read commands. By default, APIDisabledRead returns false.
Type:
bool
uadmin.APIDisabledReader¶
APIDisabledReader is an interface for models to disable access to read function in dAPI.
Type:
interface
uadmin.APIDisabledSchema¶
APIDisabledSchema controls the data API’s disabled for schema commands. By default, APIDisabledSchema returns false.
Type:
bool
uadmin.APIDisabledSchemer¶
APIDisabledSchemer is an interface for models to disable access to schema function in dAPI.
Type:
interface


Commercial and Political Atlas
William Playfair, 1786
Londen cholera outbreak
John Snow, 1854
Death of British Soldiers in Crimean War
Florence Nightingale, 1856
Carte figurative des pertes successives en hommes de l'Armée Française dans la campagne de Russie 1812-1813
Charles Joseph Minard, 1869
Train schedule for Paris–Lyon line
E.J. Marey, 1885
London Tube Map
Harry Beck, 1933
Every Building on the Sunset Strip
Ed Ruscha, 1960's
Powers of 10
Ray & Charles Eames, 1977
The Visual Display of Qualitative information
Edward Tufte, 1982
Shape of song
Martin Wattenberg, 2001
Feltron annual reports
Nicholas Felton, 2005 - now
We feel fine
Jonathan Harris & Sep Kamva, 2006
Flight patterns
Aaron Koblin, 2009
Sagrada Familia
National Geographic Magazine, 2010
Locals & tourists
Eric Fischer, 2010
Map your moves
Moritz Stefaner, 2010
All the Medalists: Men’s 100-Meter Sprint
New York Times, 2012
US gun deaths
Periscopic, 2013
Front Row to Fashion Week
New York Times, 2013


{% import "_includes/forms" as forms %} {% set submissionsPending = [] %} {% if submissions | length %} {% for submission in submissions %}
{{ submission.publisher }} {{ "approved this entry on " ~ submission.dateApproved | date('jS M Y g:ia') ~ "." | t }}
{{ "This entry has been submitted for review on " ~ submission.dateCreated | date('jS M Y g:ia') ~ " and is awaiting approval. Changes cannot be made until approved." | t }}
{{ "Submitting this entry for review will lock further edits and notify your publisher that this entry is ready for approval." | t }}


| Product | Manufacturer | Category | Rating | Free From | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| {{ product.name }} | {{ product.manufacturer }} | {{ product.category_name }} | {% if product.average_rating %} {% if product.average_rating == 0.0 %}{{ product.average_rating }} | {% elif product.average_rating == 0.5 %}{{ product.average_rating }} | {% elif product.average_rating == 1.0 %}{{ product.average_rating }} | {% elif product.average_rating == 1.5 %}{{ product.average_rating }} | {% elif product.average_rating == 2.0 %}{{ product.average_rating }} | {% elif product.average_rating == 2.5 %}{{ product.average_rating }} | {% elif product.average_rating == 3.0 %}{{ product.average_rating }} | {% elif product.average_rating == 3.5 %}{{ product.average_rating }} | {% elif product.average_rating == 4.0 %}{{ product.average_rating }} | {% elif product.average_rating == 4.5 %}{{ product.average_rating }} | {% elif product.average_rating == 5.0 %}{{ product.average_rating }} | {% endif %} {% else %}Not Rated | {% endif %}{{ product.free_from_allergen_names|join(", ") }} |


Sign Up
Facebook Sign Up
I am a
Man
Women
seeking a
Women
Man
Between ages of
18
19
and
18
19
Zip Code/Postal Code
Search Members
Login


What describes you? Hipster Nature lover Pub crawler Morbid Stylish Oh..I'm boring Next Where are you located? eg. 77 Mass Ave, Cambridge, MA Next show path!


Statistical UtilitiesUtilities for doing statistical estimation and inference under model misspecification |
|
|---|---|
Generate |
|
Retrieve the assumptions for the variance estimators to be consistent for a
a fitted OLS |
|
Get the tidy variance summary and confidence intervals for the coefficients of an object of class "maars_lm" |
|
Get the tidy variance summary from a fitted OLS |
|
Diagnostic UtilitiesUtilities for performing model fit diagnostics under model misspecification |
|
Normal Q-Q plot of the terms in an output of the bootstrap function |
|
Obtain estimates of GLM or OLS under reweighting of one or multiple regressors |
|
Obtain the "focal reweighting variable" model diagnostic. |
|
Obtain the "focal slope" model diagnostic |
|
Obtain the "nonlinearity detection" model diagnostic |
|
Get a list of standard diagnostic plots for |
|
Print, summarize, and plot dataPrint, summarize, and plot |
|
Print |
|
Summary of |
|
Print summary of |
|
Plot |
|
Confidence interval of |
|
Other utilitiesOther utilities |
|
Convert an object to an object that can be handled by the "maars" package |
|
DatasetsDatasets included in the |
|
LA County Census tract data from see Buja et al. (2019) |
|
This (corrected) dataset contains information collected by the U.S Census Service concerning housing in the area of Boston Massachusetts. |


{% extends "base.html" %} {% block content %}
Please confirm that you want to add a link between the following items on the Science Source wikibase:
| Drug | Character Offset | Drug Term Instance |
|---|---|---|
| {{ drug.Term }} | {{ drug.Offset }} | {{ drug.PrecedingPhrase }} {{ drug.Term }} {{ drug.FollowingPhrase }} |
| Disease | Character Offset | Disease Term Instance |
|---|---|---|
| {{ disease.Term }} | {{ disease.Offset }} | {{ disease.PrecedingPhrase }} {{ disease.Term }} {{ disease.FollowingPhrase }} |


Most system objects provide their own controllers; those controllers are documented along with the objects they control. Some controllers, however, may be used by more than one system object; these are documented here. The three classes below are
ColorSelectorClass
,
GenPageControlClass
, and
StyleSheetControlClass
.


A WebQuest for 5th Grade (Explorers)
Designed by
Ms. J. Morgan, Ms. K Mossop and Mr. M. McGlade<EMAIL_ADDRESS>Last updated in October 2002. Based on a template from The WebQuest Page


Type the word displayed as fast as you can, words will submit automatically no need to hit enter. Keep up to reach the prize or lag behind and meet your fate with the WALL OF DOOM!
Type the word displayed as fast as you can, words will submit automatically no need to hit enter. Keep up to reach the prize or lag behind and meet your fate with the WALL OF DOOM!


Digital Trend
Studio
(current)
Our Works
Blog
Contact
Our blog
digital trend
Creative
The Key to Creative Work is Knowing When to Walk Away
Design
Why Truly Accessible Design Benefits Everyone
Design
Why Truly Accessible Design Benefits Everyone
Design
Why Truly Accessible Design Benefits Everyone
Email newsletter
Let’s stay up-to-date. We'll share you all good stuffs.
We'll NOT share your email address to anyone else.
Please send me a monthly newsletter.
Sign up


Hello I'm Bara' Awadllah a computer engineer Graduted in 2020 from Princess Sumaya University For Technology ,I'm interested in Artificial Inteligence field its an honor to me to a student At LTUC specially in ASAC I love the LTUC Educationl enviroment , especially the academic staff they are friendlly helpful and respectful I was working in a Telecommunication company my role was a technical support engineer , I used to build chatbots powered by AI On many platforms and integrate them in the digital channels like whatsapp facebook, twitter, also I'm a writer In 2014 I won the first place at the level of the jordanian universites in writing the acdemic article my goals are so many one of them is working in a leading company like google, amazon, facebook, my furure goal is to write my own novel as writer. thanks alot ASAC to accept me in Your university.


The growing popularity of SaaS applications brings with it a host of hidden threats such as malware propagation, costly data leaks, regulatory violations, DDOS,and more.
In the face of increasingly sophisticated and formidable attacks on economic interests and civil society, our clients can count on the expertise of B-SE consulting. Skilful and tough, we are determined to make you win the game. Let me show you how we operate.
The prevention of cyber-attacks is based on two main approaches. Equipment connected to computer systems must be designed to resist intrusion attempts. It is the responsibility of companies that offer this connected equipment. Security must be ensured by barriers capable of stopping intrusions. The equipment must not only communicate, but also be able to be sealed. A basic barrier is made up of identifiers and passwords, which must be managed very rigorously from the moment the machines are put into service.
B-SE consulting will be able to coach and advise in the technical field as well as in the field of employee awareness or preparation for the reaction of an attack , which are the most undervalued area of cybersecurity. Our strength lies in the intervention of the whole spectrum of cybersecurity.
In the event of an attack, there’s no need to panic. we will help etablish several action to mitigate the attack like:
Defining the nature of the incident and the type of offence
Make technical findings in a timely manner
Communicate the necessary information to the investigating department
Freeze the system as it is and make a copy of the user data
Collecting digital evidence
Filing the complaint as soon as possible
Produce the appropriate elements when filing a complaint
Facilitate the progress of the investigation
After a Cyber-attack some company goes back to the stone age, but not our customers. After the attack we help the company to make good habits like notify the customer or restaure everything and understand and improve


|
Hey,
|
|
Together with our cooperation partner,solarisBank, we are constantly working on improving our services. This also entails changes to terms and conditions from time to time. As of 19.04.2019, solarisBank will update the Special Terms and Conditions for 3D Secure Online Card Transactions.
|
|
The amendments include changes in the registration process and authentication process for 3D-Secure, as well as references on data protection.
|
|
|
|
If you are accepting the changes, nothing else has to be done. Your consent shall be deemed to have been given.
|
|
If you are do not agree with the changes, you can reject the changes until 18.04.2019. Until this date, the account agreement existing with solarisBank may be terminated without notice and free of charge. Please leave us a message in this case. In the event of termination, you will not be able to use the Bitwala service any longer. Until 18.04.2019 inclusive, the known conditions apply.
|
|
In case you have any other question, please feel free to get back to us for further assistance.
|
|
Kind Regards
|


WITNESS LIST
Licensing & Administrative Procedures Committee
April 2, 2013 - 12:00 PM or upon final adjourn./recess
For:
Reddy, Vikrant (Texas Public Policy Foundation)
On:
Kuntz, William (Texas department of licensing and regulation)
Registering, but not testifying:
For:
Buhrig, Herman (Self)
Fisher, Jon (Associated Builders and Contractors of Texas)
Marsh, Andrea (Texas Fair Defense Project)
Renaud, Jorge (Texas criminal justice coalition)
Sanaie, Kandice (Texas Association of Business)
Shelley, Dan (Plumbing Heating Cooling Contractors)
Thomas, Chelsey (Texas Association of Realtors)
Wheeler, Julie (Travis County Commissioners Court)
Against:
Avila, Jaie (Self)
Panju, Arif (Institute for Justice)
Panju, Arif (Freedom of Information Foundation of Texas)
Shirley, Joe (Self)
On:
Kuntz, William (Texas Department of Licensing and Regulation)
Registering, but not testifying:
For:
Barber, Kathy (NFIB/Texas)
Against:
Armstrong, George (Responsible pet oweners alliance)
For:
Reddy, Vikrant (Texas Public Policy Foundation)
Registering, but not testifying:
For:
Barber, Kathy (NFIB/Texas)
Sanaie, Kandice (Texas Association of Business)
On:
Kuntz, William (Texas Department of Licensing and Regulation)
1
WITNESS LIST
For:
Gray, Alan (Licensed beverage distributors)
Registering, but not testifying:
For:
Homer, Mark (Texas Bar and Nightclub Alliance)
Hoskins, Marc (Licensed Beverage Distributors)
Townes, Ralph (Licensed Beverage Distributors)
On:
Beck, Carolyn (Texas Alcoholic Beverage Commission)
For:
Sanderson, Philip (Texas Charity Advocates)
Against:
Kohler, Rob (Christian life commission texas baptists)
Smith, David (Self)
Wallace, Juanita (Self)
On:
Grief, Gary (Texas Lottery Commission)
Joseph, Sandra (Texas Lottery Commission)
Registering, but not testifying:
For:
DuBois, Jr., Doug (Texas Food & Fuel Association)
Against:
Connett, Brent (Texas Conservative Coalition)
On:
Fenoglio, Stephen (Self; River City Bingo Charities, Austin, TX, K&B Sales, Inc. dba
Goodtime Action Games; State AmVets Department of Texas and its member posts)
Trost, Amy (Sunset advisory commission)
Registering, but not testifying:
For:
Gray, Alan (Licensed beverage distributors)
Homer, Mark (Texas Bar and Nightclub Alliance)
Townes, Ralph (Licensed Beverage Distribuyors)
On:
Beck, Carolyn (Texas Alcoholic Beverage Commission)
2
WITNESS LIST
Registering, but not testifying:
For:
DuBois, Jr., Doug (Texas Food & Fuel Association)
Gibson, Stephanie (Texas Retailers Association)
On:
Beck, Carolyn (Texas Alcoholic Beverage Commission)
Registering, but not testifying:
For:
Gabriel, Cindy (Self; Texas Package Stores Association)
Gray, Alan (Licensed beverage distributors)
Jabour, Margaret (Self; Texas Package Stores Association)
Lively, Lance (Texas Package Stores Association)
Oliver, Harold (Gabriels investmnet Group)
Stewart, Scott (Texas Distilled Spirits Association)
Townes, Ralph (Licensed Beverage Distribuyors)
On:
Beck, Carolyn (Texas Alcoholic Beverage Commission)
For:
Reddy, Vikrant (Texas Public Policy Foundation)
Against:
Barron, Peggy (Self; Commminity College Educators of Texas & San Jacinto Community
College)
Zapata, Holly (Self; Aveda Institute San Antonio and Corpus Christi K Charles and Co salons)
On:
Kuntz, William (Texas Department of Licensing and Regulation)
Registering, but not testifying:
For:
Connett, Brent (Texas Conservative Coalition)
Sanaie, Kandice (Texas Association of Business)
Against:
Colwell, Linda (Self)
Holcombe, Linda (Texas industrial vocational association)
Poff, Erin (Self)
Valdez, Jerry (Career Colleges & Schools of Texas)
3
WITNESS LIST
For:
Owens, Scott (I Drive Safely,LLC.)
Stewart, Brad (Stripes LLC)
Against:
Seepersad, Clyde (360training.com)
Registering, but not testifying:
For:
DuBois, Jr., Doug (Texas Food & Fuel Association)
Homer, Mark (Texas Bar and Nightclub Alliance)
On:
Beck, Carolyn (Texas Alcoholic Beverage Commission)
Registering, but not testifying:
For:
Spilman, Tom (Wholesale Beer Distributors of Texas)
On:
Beck, Carolyn (Texas Alcoholic Beverage Commission)
Registering, but not testifying:
For:
Connett, Brent (Texas Conservative Coalition)
Donley, Rick (Beer Alliance of Texas)
Gray, Alan (Licensed beverage distributors)
Johnson Jr., Robert E. (Miller/Coors)
Townes, Ralph (Licensed Beverage Distribuyors)
On:
Beck, Carolyn (Texas Alcoholic Beverage Commission)
Registering, but not testifying:
For:
Connett, Brent (Texas Conservative Coalition)
Donley, Rick (Beer Alliance of Texas)
Gray, Alan (Licensed beverage distributors)
Johnson Jr., Robert E. (Miller/Coors)
Townes, Ralph (Licensed Beverage Distribuyors)
On:
Beck, Carolyn (Texas Alcoholic Beverage Commission)
4
WITNESS LIST
Registering, but not testifying:
For:
Connett, Brent (Texas Conservative Coalition)
Donley, Rick (Beer Alliance of Texas)
Gray, Alan (Licensed beverage distributors)
Johnson Jr., Robert E. (Miller/Coors)
Townes, Ralph (Licensed Beverage Distribuyors)
On:
Beck, Carolyn (Texas Alcoholic Beverage Commission)
For:
Holland, Joshua (Self; Texas Distilled Spirits Association)
Registering, but not testifying:
For:
Calcote, Mary (Republic National Distributing Company)
Gabriel, Cindy (Self; Texas Package Stores Association)
Gray, Alan (Licensed beverage distributors)
Jabour, Margaret (Self; Texas Package Stores Association)
Lively, Lance (Texas Package Stores Association)
Townes, Ralph (Licensed Beverage Distribuyors)
On:
Beck, Carolyn (Texas Alcoholic Beverage Commission)
5


Link 1: Links with the same url must have the same accessible name
Link 2: Links with different urls must have different accessible names


That the many forms of emotional intelligence and mindfulness is trainable and obtainable by anyone. Even from a few hours of meditation training it has been proven to make a difference in how someone reacts to particular events.
It is also useful in many different types of jobs, and those who rise to higher positions often have a higher level of emotional intelligence.


Welcome to our website
Here you have the chance to be creative and create your OWN quiz
Keep scrolling down and choose the prefered categorie.
Welcome to our website
Here you have the chance to be creative and create your OWN quiz
Keep scrolling down and choose the prefered categorie.


PAC Advanced Programming Class
This is the main page for the PAC Advance Java Programming class. These are links you'll need for the semester:
- PACGameDev Documentation
- Lessons:
- Let's Remake Pong
- More comming soon...
This is the main page for the PAC Advance Java Programming class. These are links you'll need for the semester:


Sell Your House Now
To The Area's Most Trusted Cash Buyer
Any house, any condition, any price range.
Get An Offer Today
Your privacy is important to us! Your information is confidential and will never be sold to third parties.
Your privacy is important to us! Your information is confidential and will never be sold to third parties.