Another simple fallacy in which it is suggested that accepting a particular conclusion speaks well of the person who accepts it. This fallacy tends to feed into the Bandwagon Fallacy and is a kind of emotional variant of Appeal to Consequences, since the unstated suggestion is that if someone does not accept the argument, one must attribute the opposite qualities to that person. This is a particularly common form of appeal in "soft" advertising in which the audience is encouraged to associate the use of the advertised product with desirable qualities of the people being shown using it, such as their being attractive, intelligent, and/or popular.
Appeal to Flattery has a flip side known as "blocking disagreement" which generally amounts to a kind of pluralized Ad Hominem.
In a variant, one can appeal to perceived positive qualities of a group and a course of action without ever actually establishing a link between them or even being required to demonstrate that the group has those qualities. "Surely loyal, patriotic soldiers like yourselves would be willing to put up with the mild inconvenience of public, mandatory cavity searches of all passengers embarking on a plane in order to make sure terrorists don't threaten our civil liberties."
And of course witty, tolerant tropers such as yourselves would have the patience to bear with a third example of Hypocritical Humor in what is becoming a Running Gag.
See the Wikipedia page Appeal to flattery for more on the logical fallacy. Compare Bottled Cool.
Examples:
- The Lexus commercials featuring Jonathan Pryce blend this with Celebrity Endorsement.
- Say this in your most snobby voice: "Pardon me, would you have any Grey Poupon?" Their early commercials played the "Snob Appeal" straight, but later commercials evolved into self-parody.
- Movado wristwatches.
- Played dead straight in an ad for a resume posting site. A man playing tennis is mobbed by uninvited spectators from the stands trying to get in on the game. Most of them are terrible players, and tennis balls are flying every which way.  Apparently the first player's resume is getting lost in all the others on whatever site he's posting it. The tagline: "$100k+ jobs for $100k+ jobseekers". What a pity: Our Hero couldn't find his dream job because he was surrounded by hoi polloi!
- A junk mail ad for The Economist subscriptions listed some of the powerful, influential people who read it (especially heads of state or their cabinet members). The gist is that powerful people like them read it, and you're like them (i.e. powerful), so you should read it too.
- One of the Apple iPhone's applications was named "I'm Rich!" It costs $999.99 and all it did was show a ruby on your display. The message was pretty clear: only rich people (like you!) would buy something this useless! It managed to sell a few copies until someone claimed they bought it by accident and Apple removed it.
- The Farrell's Ice Cream Parlour chain had the "Accountant's Special" as a joke menu item: one scoop of plain vanilla ice cream for $99.99.
- The slogan of L'Oreal - "Because you're worth it."
- Spider-Man does this to convince Doctor Doom he's being tricked by insinuating that someone like him shouldn't let himself be tricked that easily (which Peter calls an appeal to the ego in his head). Before this, his future-predicting AI told him that telling Doom the truth would have a 38% chance of success, but it was increased to 51% if Peter let Doom beat him up a bit first.
- Jean de La Fontaine's "The Fox and the Crow" has the fox spot a crow in a tree holding a big cheese in its beak. The fox greets the crow, asking to hear its beautiful voice which is surely equivalent to his magnificent plumage. The crow eagerly complies, opening its beak wide... and dropping the cheese.
The fox seized it, and said, "My dear good sir,Learn you that every flattererLives at the expense of him who hears him out.This lesson is well worth some cheese, no doubt."
- Hans Christian Andersen's "The Emperor's New Clothes" has two tailors that manage to convince the emperor that they creted a suit that is only visible to smart people, so everybody would rather say that they can see the clothes and appear smart, allowing them to get paid by doing nothing.
- According to Japanese Mythology, this is how to survive an encounter with the kuchisake-onna, or slit-mouthed woman. A strange woman in a surgical mask, she'll approach you and ask if she's beautiful.  Saying yes will prompt her to reveal her mutilated face and ask again. Saying no at this point will also get you killed, but saying yes again will make her only slash you to match her because the Japanese word for "pretty" (kirei) pretty much sounds like a word meaning "to cut" (kire) and she is also apparently fueled by puns. Of course, she will let you go on your merry way if you say you're sorry, but you to be somewhere else right now.
- A Series of Unfortunate Events (2004): When first meeting the Baudelaire orphans, Count Olaf let's slip that he's only interested in their fortune in front of Mr. Poe, who is the Executor of their family estate. When Mr. Poe questions this, Olaf proceeds to ask him if he works out. Poe is clearly impressed by this compliment and leaves the children in Olaf's care.
- This is one of many techniques Palpatine uses to manipulate Anakin in the Star Wars prequels. He tells Anakin that he is the most awesome Jedi ever and that he is just way too awesome to take orders from that silly Jedi Council, who are clearly Just Jealous if they don't treat someone as awesome as Anakin with the proper reverence. This works extremely well because it's exactly what Anakin wants to believe.
- 8 Simple Rules: In one episode, Cate finds out she used to date her daughters' principal. She believes he's being too harsh on them because she broke up with him. However, he claims he was the one who broke up with her. Cate spends the rest of the episode trying to prove she was the one who broke up with him. Her daughter Kerry tries to tell her to let it go. Cate then says she's just trying to prove she was both studious and sexy in high school, just like Kerry. This convinces Kerry to support her.
- Drake & Josh: In an episode where the two brothers get a job, Drake tries to avoid doing any hard work by charming their manager, Helen. In one instance, Drake tells Helen's she's looking great right before she asks him to clean up some vomit. Helen gets flustered and instead makes Josh do it instead. Eventually, Drake gets promoted to manager.
- Game of Thrones: When the Starks go to treat with Lyanna Mormont on Bear Island, Sansa tries to do this by telling Lyanna that she will likely grow up to be a great beauty. Lyanna dismisses the compliment and insists she'll grow up to be a great warrior instead.
- Just Shoot Me!: In one episode, Finch goes undercover as a high school to get information for an article for the magazine. He ends up becoming popular with the younger generation and uses the opportunity as an excuse to relive his high school years. The intellectual Maya asks him how the assignment is going. Finch tells her that he found out that high school boys secretly find bookish and intelligent girls attractive. This pleases Maya, who leaves without pressing him for more information that would've exposed Finch's plan.
- The Middle: Sue is approached by someone at the mall who tells her she has what it takes to be a model. Of course, she'll have to pay for some classes. Sue is so excited after being compared to a model that she never considers that this could be a scam, and spends the rest of the episode trying to pay for classes through babysitting.
- Saturday Night Live neatly parodied this device with the "I'm #1" trucker's cap. "Lets everyone in the room know you're better than they are. Only $9.95, available at K-Mart and Caldor!"
- Wonderfully subverted by Les Luthiers: "You, who are used to success as just one more habit of life... You, who succeed with the same ease in business and in the most exclusive sports... You, who are used to being respected by men and admired by women... You... can you tell us how you do it?"
- The Music Man: Whenever the four members of the school board try to question Harold Hill about his plan to start a school band, he distracts them by complementing their voices and getting to sing barbershop quartet songs.
- Strong Bad's Cool Game for Attractive People. Right there in the title, folks.
- Family Guy: One episode had Bonnie asking Lois to look after her baby and paraplegic husband while she goes on vacation. Not wanting to do this, Lois passes the job off to Meg. When Meg complains, Lois tells her that Bonnie compared Meg's appearance to that of a supermodel. This gets Meg to accept the job.
- In the Phineas and Ferb episode "dude, we're getting the band back together", Phineas and Ferb reunite a Hair Metal band for their parents' anniversary. 'They convince Bobbi Fabulous to join by telling him he's the one who steals the show.
- South Park: The episode "Chinpokomon" involved Japan trying to brainwash the American youth using an obvious parody of Pokémon. Whenever American adults get suspicious, the Japanese will deflect by saying how large American penises are. This even works on the President. According to the DVD commentary this was based off of an encounter in Beijing.
- Very common in politics, where loaded positive terms are used to describe positions: for example, people do not call themselves anti-abortion but pro-life, and their opponents say they are pro-choice rather than pro-abortion. Who would want to oppose "life" or "choice?" This leads to the rather absurd idea that one could apply each side's argument to the other, making the two sides of the abortion debate "anti-choice" and "anti-life".
- In commercials for charities, one common practice is to thank the listener for donating at the end, flattering them with the unstated assumption that they are generous.


Week 7 Technical: SQL vs. NoSQL
August 29, 2014
Introduction
I really enjoyed learning SQL and relational databases this week, and I was surprised to learn how many SQL haters there are out there on the World Wide Web! This blog post will explore the differences between SQL and NoSQL, and attempt to discover why SQL gets such a bad rap among programmers today.
A short anecdote before I dive into the pros and cons of SQL vs. NoSQL: before starting Dev Bootcamp, I worked as client services director for a software company in San Francisco. I remember the huge deal the dev team made about switching our database over to MongoDB (a NoSQL database) - though at the time, none of us non-devs had any idea why this was a groundbreaking change for our company.
So what are the differences between SQL and NoSQL? Why choose one over the other? And WHY is this topic such an utterly divisive one in the programming world?
SQL vs. NoSQL: Background
SQL technically refers to the programming language that programmers use to query (i.e. get info from) their relational databases. However, when people talk about SQL vs. NoSQL, they're usually referring to the relational database model itself, rather than the language. The relational database model has been around since the 1970s, which is both a testament to its power, and also its outdatedness. A database is relational if it is made up of a series of tables, much like those you'd find in an Excel spreadsheet, with columns and rows containing data. Each row holds the information for one "entity," and each column tracks a particular piece of data about each entity (name, phone number, address, etc.). Information in the tables is accessed, added, and changed using the language SQL.
On the other hand, the term NoSQL is short for "Not Only SQL," and as such, encompasses a variety of database types that don't fit into the relational model. Instead of utilizing tables and a strictly structured format, NoSQL databases offer a more free-flowing way of working with data. NoSQL databases are organized by documents, graphs, or key-value pairs. Proponents argue that NoSQL is more flexible and easier to use than relational databases.
Pros and Cons
Some common issues raised by SQL haters include:
- Relational databases and object oriented programming don't play well together. Mapping an object or class to single row in a single table is often not a sufficient solution.
- Joins in relational databases can slow down the program, particularly with large databases and large userbases. (In fact, NoSQL was first developed by Google and Amazon to deal with their massive databases and the millions of queries they had to handle).
- SQL and relational databases are old and unsexy. Similar to languages like C, SQL isn't really a "hip" or "trendy" technology, and as such, receives a fair amount of flack from programmers.
Frequently cited rebuttals to these arguments include:
- Most web apps will never handle the amount of traffic Google or Amazon deal with, and modern relational systems have optimization to help speed up queries.
- SQL is extremely popular and used everywhere. Simply learning the basic concepts behind relational databases and SQL give you a firm foundational understanding of data storage that will be applicable for whatever model you choose for your program.
- It's easy to fear what you don't understand. A lot of the SQL hate comes from programmers who simply don't have a background in database management theory, which makes them shy away from SQL and gravitate toward NoSQL solutions (which often come with appealing marketing slogans that imply NoSQL is an "out-of-the-box" solution to data management).
Conclusion
So who's right? Do the SQL haters have a point? Sure they do - SQL is old, clunky, and doesn't play nicely with object oriented design. But is NoSQL the be-all and end-all of database management? Of course not. There's no right or wrong answer - which model you choose will depend on the needs of your application. Dataconomy sums it up nicely: "If your data needs are changing rapidly, you need high throughput to handle viral growth, or your data is growing fast and you need to be able to scale out quickly and efficiently, maybe NoSQL is for you. But if the data you have isn't changing in structure and you're experiencing moderate, manageable growth, your needs may be best met by SQL technologies."


|
Connected Home over IP
672cf7684
|
Namespaces | |
| BroadcastIpAddresses | |
| FlatAllocatedQName | |
| A void* implementation that stores QNames as [ptr array] [name1] #0 [name2] #0 .... | |
| Internal | |
Classes | |
| class | BitPackedFlags |
| Wrapper around a MDNS bit-packed flags in a DNS header as defined in RFC 1035 and RFC 6762. More... | |
| class | BytesRange |
| Simple range of bytes with a start and an end. More... | |
| class | ConstHeaderRef |
| Allows operations on a DNS header. More... | |
| struct | FullQName |
| A list of QNames that is simple to pass around. More... | |
| class | HeaderRef |
| class | IPResourceRecord |
| class | IPv4Responder |
| class | IPv6Responder |
| class | ListenIterator |
| Provides a list of intefaces to listen on. More... | |
| class | ParserDelegate |
| class | PtrResourceRecord |
| class | PtrResponder |
| class | Query |
| Represents a MDNS Query: QName and flags. More... | |
| class | QueryBuilder |
| class | QueryData |
| class | QueryReplyFilter |
| A reply filter implementation based on a received/parsed query. More... | |
| class | QueryResponder |
| class | QueryResponderBase |
| Responds to mDNS queries. More... | |
| class | QueryResponderIterator |
| Iterates over an array of QueryResponderRecord items, providing only 'valid' ones, where valid is based on the provided filter. More... | |
| struct | QueryResponderRecord |
| Represents available data (replies) for mDNS queries. More... | |
| class | QueryResponderRecordFilter |
| Determines what query records should be included in a response. More... | |
| class | QueryResponderSettings |
| Allows building query responder configuration. More... | |
| class | ReplyFilter |
| Filter used to determine what kind of a reply is acceptable or not. More... | |
| class | ResourceData |
| class | ResourceRecord |
| A generic Reply record that supports data serialization. More... | |
| class | Responder |
| Adds ability to respond with specific types of data. More... | |
| class | ResponderDelegate |
| class | ResponseBuilder |
| Writes a MDNS reply into a given packet buffer. More... | |
| class | ResponseSender |
| Sends responses to mDNS queries. More... | |
| class | SerializedQNameIterator |
| A serialized QNAME is comprised of. More... | |
| class | Server |
| class | ServerBase |
| class | ServerDelegate |
| Handles mDNS Server Callbacks. More... | |
| class | SrvRecord |
| Parses SRV record data https://tools.ietf.org/html/rfc2782. More... | |
| class | SrvResourceRecord |
| class | SrvResponder |
| class | TxtRecordDelegate |
| class | TxtResourceRecord |
| class | TxtResponder |
Typedefs | |
| using | QNamePart = const char * |
| A QName part is a null-terminated string. More... | |
Enumerations | |
| enum | QType : uint16_t { QType::A = 1, QType::NS = 2, QType::CNAME = 5, QType::SOA = 6, QType::NULLVALUE = 10, QType::WKS = 11, QType::PTR = 12, QType::HINFO = 13, QType::MINFO = 14, QType::MX = 15, QType::TXT = 16, QType::ISDN = 20, QType::AAAA = 28, QType::SRV = 33, QType::DNAM = 39, QType::ANY = 255 } |
| enum | QClass : uint16_t { QClass::IN = 1, QClass::ANY = 255, QClass::IN_UNICAST = IN | kQClassUnicastAnswerFlag } |
| enum | ResourceType { ResourceType::kAnswer, ResourceType::kAuthority, ResourceType::kAdditional } |
Functions | |
| bool | ParsePacket (const BytesRange &packetData, ParserDelegate *delegate) |
| Parses a mMDNS packet. More... | |
| bool | ParseTxtRecord (const BytesRange &data, TxtRecordDelegate *callback) |
| Parses TXT record data https://tools.ietf.org/html/rfc1035 (included in base RFC) More... | |
| bool | ParseARecord (const BytesRange &data, chip::Inet::IPAddress *addr) |
| Parses an IPV4 (A) record data https://tools.ietf.org/html/rfc1035 (included in base RFC) More... | |
| bool | ParseAAAARecord (const BytesRange &data, chip::Inet::IPAddress *addr) |
| Parses an IPV6 (AAAA) record data https://tools.ietf.org/html/rfc3596. More... | |
| bool | ParsePtrRecord (const BytesRange &data, const BytesRange &packet, SerializedQNameIterator *name) |
| Parses a PTR record data https://tools.ietf.org/html/rfc1035 (included in base RFC) More... | |
Variables | |
| constexpr uint16_t | kQClassUnicastAnswerFlag = 0x8000 |
| Flag encoded in QCLASS requesting unicast answers. More... | |
| constexpr size_t | kMaxQNamePartLength = 255 |
| const QNamePart | kDnsSdQueryPath [] = { "_services", "_dns-sd", "_udp", "local" } |
| using mdns::Minimal::QNamePart = typedef const char * |
A QName part is a null-terminated string.
|
strong |
|
strong |
|
strong |
| bool mdns::Minimal::ParseAAAARecord | ( | const BytesRange & | data, |
| chip::Inet::IPAddress * | addr | ||
| ) |
Parses an IPV6 (AAAA) record data https://tools.ietf.org/html/rfc3596.
| bool mdns::Minimal::ParseARecord | ( | const BytesRange & | data, |
| chip::Inet::IPAddress * | addr | ||
| ) |
Parses an IPV4 (A) record data https://tools.ietf.org/html/rfc1035 (included in base RFC)
| bool mdns::Minimal::ParsePacket | ( | const BytesRange & | packetData, |
| ParserDelegate * | delegate | ||
| ) |
Parses a mMDNS packet.
Calls appropriate delegate callbacks while parsing
returns true if packet was succesfully parsed, false otherwise
| bool mdns::Minimal::ParsePtrRecord | ( | const BytesRange & | data, |
| const BytesRange & | packet, | ||
| SerializedQNameIterator * | name | ||
| ) |
Parses a PTR record data https://tools.ietf.org/html/rfc1035 (included in base RFC)
| bool mdns::Minimal::ParseTxtRecord | ( | const BytesRange & | data, |
| TxtRecordDelegate * | callback | ||
| ) |
Parses TXT record data https://tools.ietf.org/html/rfc1035 (included in base RFC)
| const QNamePart mdns::Minimal::kDnsSdQueryPath[] = { "_services", "_dns-sd", "_udp", "local" } |
|
constexpr |
|
constexpr |
Flag encoded in QCLASS requesting unicast answers.


The best of both worlds (means you can enjoy two different opportunities at the same time)
Speak of the devil (this means that the person you’re just talking about actually appears at that moment)
See eye to eye (this means agreeing with someone)
Once in a blue moon (an event that happens infrequently)
When pigs fly (something that will never happen)
To cost an arm and a leg (something is very expensive)
A piece of cake (something is very easy)
Let the cat out of the bag (to accidentally reveal a secret)
To feel under the weather (to not feel well)
To cut corners (to do something badly or cheaply)


ADMISSION FORM
First Name:
Last Name:
Password:
Confirm Password:
Phone no:
Format: XX-XXX-XXXXXXX
Email:
Gender:
Male
Female
Other
Country:
Pakistan
Russia
China
India
South Africa
Bangladesh
Srilanka
United States
England
Nepal
Israel
Turkey
Malaysia
Afghanistan
Algeria
Argentina
Albania
Armenia
Maldives
Mexico
Morocco
Zimbabwe
Belgium
Brazil
Iran
New Zealand
Chile
UAE
Paris
Spain
Syria
Germany
Tajikistan
Indonesia
Italy
Ireland
Iraq
Japan
Saudi Arabia
Nationality:
Pakistani
Foreign
Parent Name:
Income:
$ 50,000
$ 75,000
$ 150,000
Program:
Bachelors In Computer Science
Bachelors In Electrical Engineering
Bachelors In Accounting and Finance
Bachelors In Mechatronics Engineering
Doctor Of Pharmaceutical Sciences
Doctor Of Phyical Therapy
Bachelors In Software Engineering
Bachelor of Medicine and Bachelor of Surgery
Bachelors In Mechanical Engineering
IdCard:
Marks:
Date Of Birth:
Submit


--- title: Liam Filson date: 1998-11-08T11:00:00.000Z gender: Boy homePage: coming soon city: Sydney thinkLotrRules: Of course ---
You have done a hell of a lot of work on the homepage. It<PHONE_NUMBER>9999999999999999999999999999 times as good


Only your organisation can see this level of detail. All members of your organisation can access and edit your finances. Your designated finance partner will be the main contact for queries. You will be consulted before any changes are approved.
Overview
| Total costs | % grant | Funding sought | Other public sector funding | Contribution to project |
|---|---|---|---|---|
| £286,283 | 55% | £180,399 | 20,000 | £85,885 |
Detailed finances
Changes made to your finances will be visible here. Please review this section carefully as you are responsible for the accuracy of any approved finances.
Labour £ 126,207
Overheads £ 0
Materials £ 8,600
Capital usage £ 0
Subcontracting costs £ 150,000
Travel and subsistence £ 0
Other costs £ 0
Other funding
Details of other applicable public sector funding received or applied for is shown here. You must inform us if you know of any applicable funding that is not listed here.


Collection
Operational and policy information for colleges, training organisations and employers about advanced learner loans.
the advanced learner loan for information on applying for a loan
the Money Advice Service for impartial money advice
For communications material for use with learners and employers visit the SLC practitioner site .
Published: 25 February 2014
Updated: 11 December 2015
From: Skills Funding Agency
Part of: Further education and training


Google Earth Enterprise Documentation Home | Fusion administration
Manage Fusion disk space
Fusion writes all assets, projects, and databases to the asset root directory (typically named /gevol/assets
). As a result, the asset root can fill up quickly.
You can put source data, such as raw images, in a different directory like /gevol/src
, but the asset root can still fill up from processing source files. Cleaning assets, projects, and databases helps reduce the disk use in the asset root, but eventually the volume will fill up completely.
A good way to create free space in your asset root is to move your pyramid files to auxiliary storage. When you create and build a new imagery asset, pyramid (.pyr
) files are also created, and are saved to the raster.kip
and mask.kmp
directories. Google delivers most of its data to customers in pyramid format. The pyramid files must always be available to the Fusion server, but after they're built, they don't change size. That makes them good candidates for moving to a separate storage location.
The result of moving your .pyr
files is an asset that stores configuration files in the asset root, and large pyramid files in auxiliary storage. Besides creating space in your asset root, there are other advantages to moving your pyramid files:
- You can share assets across Fusion installations, or copy assets from one system to another.
- You can create assets on stand-alone computers and copy them to the grid later.
- You can manage disk space more easily. Because pyramid files do not grow or shrink, you can keep filling a volume with the pyramid files until it is full, then add another volume.
- You can store metadata (like the security level, when the source file was acquired, the bounding box, the resolution, the sensor type, and any other relevant data) with each pyramid directory. If you want to use the metadata in a new imagery project, it's more easily accessible than storing it buried in the asset tree.
Moving pyramid files
There are a few different ways to move pyramid files out of an asset root that is filling up:
- Move files out of the asset root and create symbolic links to the files. To do this, copy the entire
raster.kip
directory to a different location and then symbolically linkraster.kip
to the new location with theln -s
command:
ln -s /path/to/new/raster.kip
This option is expedient and can provide significant short-term relief to a full asset root. However, extensive use of symbolic links can increase the potential risk of Fusion or publish errors, and isn't good administrative practice.
-
Set up KRP and KRMP task rules to direct Fusion to write the pyramid files to a different storage location instead of to the asset root.
- Copy the pyramid files from the asset root and to other storage, then re-create the asset. See the instructions below.
To copy the pyramid files and re-create the asset:
After the raster.kip
and mask.kmp
directories are created and the asset is finished building, all of the information needed to copy and re-use the asset is inside these two directories. There are other files in the asset directory, but they are auxiliary and not needed. The basic strategy for managing disk space is:
- Locate the asset to be moved. It will be in a directory with a
.kiasset
extension.
- Locate the
raster.kip
and themask.kmp
directories under the asset directory:
find $asset.kiasset -type d -name raster.kip
find $asset.kiasset -type d -name mask.kmp
- Copy the
raster.kip
andmask.kmp
directories to the auxiliary storage volume:
cp -av $kip $new_location/$asset.kip
cp -av $kmp $new_location/$asset.kmp
Note: The auxiliary storage volume must be a defined Fusion volume. You can define the new volume with the
geconfigurefusionvolume
command. Volumes are presented to the server as NFS file systems, and those can't be nested. For example, NFS does not allowVolume1
andVolume2
to be mounted as/Volume1/Volume2
. - Rename the
raster.kip
andmask.kmp
files so that they have the same name. The name should be descriptive of the asset. For example, if the asset isEastChicago.kiasset
, the directories should be calledEastChicago.kip
andEastChicago.kmp
.
- Modify the imagery asset with the
gemodifyimageryasset
command, using the same name that the asset was originally created with:gemodifyimageryasset -o imagery/EastChicago -havemask /gevol/newvolume/imagery/EastChicago.kip
For more details about the commands to re-create the assets, see Importing Preprocessed Resources in the Google Earth Enterprise Reference Guide.
-
Rebuild the imagery project and any database that contains the imagery project:
gebuild imagery/EastChicago
.The
gemodifyimageryasset
andgebuild
commands will complete in seconds, because the heavy processing took place when the pyramid files were generated. - Clean the imagery projects and databases using the Fusion UI:
- From the Asset Manager, right-click the project or database and select Asset Versions.
- Right-click the previous version and select Clean. Cleaning the project and database also cleans all the assets, removing the pyramid files from the asset root and freeing up quite a bit of space.
- Verify that each of the assets that were modified were cleaned, and that the pyramid files were removed from the asset root.
Note: The asset expects the pyramid files to remain in the same location you specified in the gemodifyimageryasset
command. Don't move the pyramid files to a new location after you've copied them and then modified, built, and cleaned the asset.
Example script
The example below copies all the pyramid files from /gevol/assets/imagery
to /gevol/volume1
.
# The commands are echoed to the terminal so you can review them before executing.
# To enable the commands, uncomment the following line:
# do_command=true
asset_root=/gevol/assets
asset_directory=Resources/Imagery
new_location=/gevol/volume1
cd $asset_root/$asset_directory
for asset in `ls | grep kiasset | sed 's/\.kiasset//'`
do
# Find the raster.kip and mask.kmp under the asset directory
kip=`find $asset.kiasset -type d -name raster.kip`
kmp=`find $asset.kiasset -type d -name mask.kmp`
# Copy the raster and mask directories to the new volume
echo "cp -av $kip $new_location/$asset.kip"
if [ "$do_command" == "true" ]; then cp -av $kip $new_location/$asset.kip; fi
echo "cp -av $kmp $new_location/$asset.kmp"
if [ "$do_command" == "true" ]; then cp -av $kmp $new_location/$asset.kmp; fi
# modify and build each of the imagery assets
echo "gemodifyimageryresource --havemask -o $asset_directory/$asset $new_location/$asset.kip"
#if [ "$do_command" == "true" ]; then gemodifyimageryresource --havemask -o $asset_directory/$asset $new_location/$asset.kip; fi
echo "gebuild $asset_directory/$asset"
if [ "$do_command" == "true" ]; then gebuild $asset_directory/$asset; fi
done
# Rebuild, then clean the imagery project and the database,
# then verify that all the assets were cleaned.


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Dalhousie University is committed to providing our faculty, staff, students, and visitors with websites that respect their privacy. This page summarizes the privacy policy and practices for all official Dalhousie University websites.
Our websites do not automatically gather any personal information from you, such as your name, phone number, or email address. This information is only obtained if you provide it voluntarily, through contacting us via email or through an online form. Any information that you choose to provide will be protected in accordance with applicable privacy legislation and Dalhousie University policies and procedures.
Dalhousie University will only use your personal information for the stated purposes for which it was collected, unless you provide consent otherwise. Your personal information will only be disclosed to or accessed by Dalhousie University employees with a need to know in relation to the purposes for which it was collected. Dalhousie University will not sell or rent your personal information to any third parties.
Some of our webites may collect more information than is described here and may have additional privacy requirements. Where applicable, please be sure to familiarize yourself with such requirements.
Information gathered automatically
Dalhousie University’s web servers log some information about Internet traffic on our web pages. While we make no attempt to link the information captured to the identity of individual visitors, these logs capture aggregate, generic, non-personal identifying information about visitors such as:
- The Internet domain and Internet Protocol (“IP”) address from which you access our websites
- The type of browser and operating system used
- The date and time you access our websites
- The uniform resource locator (URL) of the pages you visit
- If you linked to one of our websites from another website, the address of that website
- Your general geographic location
We use this information to help us make our websites more useful to our audiences by learning about the number of visitors, and by monitoring traffic patterns and the types of technology our visitors use. We do not track or record information about specific individuals and their visits.
In some cases, the Internet domain or IP address of visitors could allow for individual identification, depending on the naming standards followed by your Internet service provider. If this concerns you, you may wish to ask them about their policies and practices.
Visitor information is not disclosed to anyone except Dalhousie University personnel who need the information for legitimate business purposes such as responding to a request.
Information collected in e-mails and web forms
Should you choose to provide us with personal information — as in an email or by filling out an electronic form and submitting it to us through our website — we will use that information to respond to your request.
Dalhousie also allows for web user feedback. This information is provided through Kampyle, a web feedback service hosted in Israel. The optional feedback form is offered to 1) allow users to provide feedback and 2) for Dalhousie to make improvements on usability and function. The service allows for the user to provide feedback through standard, preformatted responses, and allows for the user to provide an email address for a return message. No other personal information is collected beyond what the user voluntarily chooses to submit.
Cookies
A cookie is a small text file containing a unique identification number that is transferred (through your browser) from a website to the hard drive of your computer. The cookie identifies your browser and will NOT let a website know any personal information about you, such as your name and address. Since cookies are only text files, they cannot run on your computer, search your computer for other information or transmit any information to anyone.
Dalhousie University may use cookies to:
- Monitor website usage and improve the operation and performance of our websites to make them easier and more convenient to use; for example, cookies help us remember who you are through your browser settings so that we can offer and provide more personalized services (e.g. language preference).

- Measure aggregate user traffic and demographic statistics related to the websites (e.g. number of users, average time spent, average age and similar statistics). This information helps us to better understand when to update, change or offer new services and provides us with details as to the performance of third party advertisements and content.
- Dalhousie University and third party advertising providers used by Dalhousie University may use cookies when serving advertisements.
If you are concerned about the use of cookies, you can refer to the help information in your browser software for information on how to disable cookies. If you wish to delete cookies from your machine, consult your browser’s help files for instructions on how to do so.
Links to other sites
Our websites may contain links to other sites. We are not responsible for the content and the privacy practices of other websites.


{% extends "blog/base_blog.html" %} {% block title %}Entries published in {{ year|date:"Y" }}{% endblock %} {% block headlinks %} {% load next_previous %} {% get_next object_list pub_date as next %} {% get_previous object_list pub_date as previous %} {% if previous %} {% with previous.pub_date as prev_date %} {% endwith %} {% endif %} {% if next %} {% with next.pub_date as next_date %} {% endwith %} {% endif %} {% endblock %} {% block content %} {% load next_previous %} {% load typogrify_tags %}


{% extends "dashboard/home.html" %} {% block title %}Grants Application — WSGC{% endblock %} {% block content_head %}
We have received your grants application. You will receive a confirmation email presently.


Cash Payment
Remaining Balance:
Please insert the cash amount in the text box
(Just a simulation)
Next


--- layout: post title: Hybrids Belong In Cars, Not Browsers date: '2008-05-30T14:52:21-07:00' tags: tumblr_url: http://alexhwilliams.tumblr.com/post/36618781/hybrids-belong-in-cars-not-browsers --- Hybrids Belong In Cars, Not Browsers


Haiku is a free and open source operating system with support for localization and translation.
Information about localization
Listed here are links to standards and guides on how to translate the Haiku interface and documentation to your language to get you started
Translation sites
Listed here are links to the translation sites to begin translating
- Haiku Interface Translation - GUI translation
- Documentation Translation - Documentation translation


{include file="layout/search" /}
{include file="layout/nav" /}
区域
- 不限
{foreach $areaInfo as $area}
- {$area.name}
{/foreach}
{foreach $measureList as $key=>$measure}
- {$measure}
{/foreach}
{foreach $renList as $key=>$rent}
- {$rent}
{/foreach}
{foreach $tagList as $key=>$tag}
- {$tag}
{/foreach}
{foreach $typeList as $key=>$type}
- {$type}
{/foreach}
{include file="layout/foot" /}
{include file="layout/foot-btn" /}


Class: Sketchup::SelectionObserver Abstract
| Relationships | |
| Inherits: | Object |
Overview
To implement this observer, create a Ruby class of this type, override the desired methods, and add an instance of the observer to the objects of interests.
This observer interface is implemented to react to selection events.
Instance Method Summary
- #onSelectionAdded(selection, entity) ⇒ nil
-
#onSelectionBulkChange(selection) ⇒ nil
The #onSelectionBulkChange method is called whenever items are added or removed from the selection set.
-
#onSelectionCleared(selection) ⇒ nil
The #onSelectionCleared method is called when the selection is completely emptied.
- #onSelectionRemoved(selection, entity) ⇒ nil
Instance Method Details
#onSelectionAdded(selection, entity) ⇒ nil
This event might not trigger even if a single element is selected. For instance the Selection
tool will trigger #onSelectionBulkChange regardless.
#onSelectionBulkChange(selection) ⇒ nil
The #onSelectionBulkChange
method is called whenever items are added or removed from the selection set.
The #onSelectionBulkChange
callback will not trigger if the selection is cleared by clicking on empty model space. Use the #onSelectionCleared method to catch this case.
#onSelectionCleared(selection) ⇒ nil
The #onSelectionCleared
method is called when the selection is completely emptied.
#onSelectionRemoved(selection, entity) ⇒ nil
This event might not trigger even if a single element is deselected. For instance the Selection
tool will trigger #onSelectionBulkChange regardless.


Subject and Course Guides
Find article databases, ebooks, handbooks, properties and other resources by academic subject.
Search
All Course Guides
|
All Subject Guides


Emergency Journal Decrypter
Feel secure knowing you can decrypt your journal even if Markdown Today goes offline.
Drop your encrypted journal here to decrypt
Decrypted Journal
Download .md


--- layout: page title: Labs permalink: /labs --- These are just a few of my many open-source experiments. View the rest on my GitHub.
{{ piece.description | markdownify }}


Invoices constitute a demand for payment for goods that have been delivered to a Customer.
A invoice contains:
While an Invoice often originates with a Sales Order, it does not have to. Sales that take place in a retail environment where the customer selects the goods and pays for them immediately do not require a sales order record. For instance, the Stockor Point of Sale iOS application does not generate Sales Orders.
Once an invoice is saved, it immediately removes the SKUs from the inventory location and generates corresponding General Ledger entries debiting the asset account and crediting the customers receivables account.
When payment is received against the Invoice, the receivables account is debited and the payments holding account is credited.


 You may go ahead and log in now. Click here to Log in {% endblock %}
Click here to Log in


User account control
In Windows Vista and later, processes run at three different levels of integrity: high, medium, and low. A high integrity process has administrator rights. A medium integrity process is one that runs with standard user rights. A low integrity process is very restricted. Most desktop applications run in a medium integrity process, even if the current user is a local administrator. Use Process Explorer to see which Integrity level your programs are running at.
Mandatory Label\High Mandatory Level. This means I have administrator rights.
Mandatory Label\Medium Mandatory Level. This means I have standard user rights.
RunAs
Simply runAs Administrator and ask the user to accept. Most executables can use ShellExecute and pass the 'runas' verb
The Metasploit Framework’s exploit/windows/local/ask module by mubix implements this attack for you. Make sure you set EXE::Custom to avoid anti-virus!
Bypass UAC (Windows 7)
The RunAs option prompts the user and that’s an opportunity to get caught. We want a way to spawn a high integrity process from a medium integrity process without a prompt. Fortunately, there is a way to do this, it’s the bypass UAC attack.
They also released the exploit/windows/local/bypassuac MSF module that uses Leo’s proof-of-concept for the heavy lifting.
The bypass UAC attack requires that UAC is set to the default Notify me only when programs try to make changes to my computer. If UAC is set to Always Notify, this attack will not work. This attack also requires that our current user is in an administrators group.
We get code execution through DLL search order hijacking. The public versions of the bypass UAC attack copy a CRYPTBASE.dll file to c:\windows\system32\sysprep and run c:\windows\system32\sysprep.exe. When sysprep.exe runs it will search for CRYPTBASE.dll and find the malicious one first.
Because sysprep.exe automatically runs in a high integrity context (when UAC is set to default), the code in the attacker controlled CRYPTBASE.dll will execute in this high integrity context too. From there, we’re free to do whatever we like. We have our administrator privileges.
A recent addition to the Metasploit Framework is the exploit/windows/local/bypassuac_inject module. This module compiles the UAC bypass logic into a reflective DLL. It spawns a Microsoft-signed program and injects the UAC bypass logic directly into it. The only thing that needs to touch disk is the CRYPTBASE.dll file.
Bypass UAC (Windows 8.1)
I audited all of the autoElevate programs on a stock Windows 8.1 to find another DLL hijacking opportunity. I had to find a program that would load my DLL before displaying anything to the user. There were quite a few false starts. In the end, I found my candidate.
Lateral Movement and UAC
The concept of process integrity level only applies to the current system. When you interact with a network resource, your access token is all that matters.  Here’s how this works:
You may use your token to interact with another system as an administrator. This means you may copy an executable to that other system and schedule it to run. If you get access to another system this way, you may repeat the same process to regain access to your current system with full rights.
You may use the Metasploit Framework’s exploit/windows/local/current_user_psexec to do this.


Visual Studio .NET 2003 Upgrade Offer 'til 9/30
Here. There's only 11 days left on this:
"Microsoft is pleased to offer Visual Studio .NET 2002 Professional, Enterprise Developer, and Enterprise Architect customers a corresponding upgrade to a Visual Studio .NET 2003 product for only $29 US. This offer is open until September 30, 2003."


Ph.D. in Computer Science, Louisiana State University, Aug. 2017 - Present
M.S. in Biostatistics, University of Michigan, Aug. 2012 - Jun. 2014
M.S. in Applied Mathematics, Bowling Green State University, Aug. 2010 - Jun. 2012
B.S. in Applied Physics, Northwest University (China), Jul. 2006 - Jun. 2010


Leverage agile frameworks to provide a robust synopsis for high overviews. Iterative approaches to corporate strategy foster collaborative thinking to further the overall value proposition. Organically grow the holistic world view of disruptive innovation via workplace diversity and empowerment


Evolution of ARPANet into the Internet of Today.
Netscape's Story of Flying too Close to the Sun.
How Sticking to Their Roots Paid Off.
How Some Survived the Boom When Many Just Bust.
How the Social Media Revolution Gained its Roots.


module Options: sig
.. end
Module which contains the options given as parameter to the program
val verbose : bool Pervasives.ref
Do we have to print backtrace when an exception is encountered
val withoutLocs : bool Pervasives.ref
Do we have to hide locations in the printed version of the program
val withoutWidening1 : bool Pervasives.ref
Do we have to remove the widening and to compute the lfp by enlarging abstract domains
val withoutWidening2 : bool Pervasives.ref
Do we have to remove the widening and to compute the lfp by excluding cases and then join all the cases


The ICRC responds quickly and efficiently to help people affected by armed conflict. They also respond to disasters in conflict zones, because the effects of a disaster are compounded if a country is already at war. Their activities include: addressing sexual violence, building respect for the law, economic security, enabling people with disabilities & physical rehabilitation, health, helping detainees, humanitarian diplomacy, migrants, refugees, asylum seekers, water and habitat. Visit their website at https://www.icrc.org/.


The outdoor Jenny Thompson pool in Dover is closing for the summer after Labor Day. All Dover practices will be at the Dover Indoor Pool starting September 8th.
Register today for the 7th Annual UVAC Leaf Peepers Masters Meet on Saturday, October 24th, 2015.
We hope that you will join Great Bay Masters Swimming, a United States Masters Swimming registered club. GBM does a lot of work to organize and promote masters swimming. By joining GBM you will:
Great Bay Masters (GBM) swimmers include everyone from adults who are learning the competitive strokes to those who were competitive swimmers in their youth. If you can swim four lengths of a 25-yard pool in two minutes and thirty seconds, then you will be able keep pace with our starting group. We are supportive of new swimmers and want to help you improve your strokes, fitness and conditioning.
Do I need to swim all the competitive strokes and do flip turns?
No. We ask that you are able to swim freestyle for four lengths of a 25-yard pool continuously when you start swimming with GBM. We also ask that you have the willingness to learn the remaining three competitive strokes: backstroke, breaststroke and butterfly. Our coaches are ready to help you learn the strokes and turns. If you are unable to swim a certain stroke due to a physical limitation, that's not a problem.
I'd like to try Great Bay Masters but I feel intimidated, what should I do?
You are not alone. Many swimmers have said that they thought about trying a masters swim workout for a long time before they got up the courage to give it a try. There are a few things to keep in mind. Great Bay Masters is a wonderful group of people. We have swimmers as young as 18, some who are over 80, and everyone in between. We are a polite and friendly group who welcome new swimmers. Some swimmers have come to meet the coach and watch a workout to see what it's like before swimming their first workout. Chances are very good that if you get over that initial fear and swim a workout with us, you'll be happy you did. Swimming is a great lifelong fitness activity, and it's both fun and motivating to do your workout with a group of like-minded adults.
What lane should I get into at my first practice?
Facing the pool at the end where swimmers start the workout, the far left lane is the fastest lane and the far right lane is the slower lane. Generally swimmers in the far left lane could swim freestyle at a pace of one minute and fifteen seconds, or faster, per 100 yards. Swimmers in the far right lane could swim at a pace of two minutes and thirty seconds per 100 yards free.
We recommend that you take it easy during your first practice. Pick a lane that you think is beneath your ability. Take some time to meet the coach and people in the workout. Get used to the flow of the practice. Give yourself a chance to gain fitness if you haven't been swimming that much. In masters swimming there is no rush. We're looking forward toward years of swimming health and fitness.
9 Henry Law Avenue, Dover NH
Tuesday & Thursday | 6:30 - 7:45p
Sunday | 9:00 - 11:00a


- american_call_baw(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_baw
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- american_call_baw(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_baw
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- american_call_baw(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the american_call_baw
M-function with 7 input arguments.
- american_call_baw(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the american_call_baw
M-function with 7 input arguments.
- american_call_bin(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_bin
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- american_call_bin(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_bin
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- american_call_bin(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the american_call_bin
M-function with 6 input arguments.
- american_call_bin(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the american_call_bin
M-function with 6 input arguments.
- american_call_bin_contpay(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_bin_contpay
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- american_call_bin_contpay(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_bin_contpay
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- american_call_bin_contpay(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the american_call_bin_contpay
M-function with 7 input arguments.
- american_call_bin_contpay(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the
american_call_bin_contpay
M-function with 7 input arguments.
- american_call_bin_partials(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_bin_partials
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- american_call_bin_partials(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_bin_partials
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- american_call_bin_partials(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the american_call_bin_partials
M-function with 6 input arguments.
- american_call_bin_partials(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the
american_call_bin_partials
M-function with 6 input arguments.
- american_call_bin_propdiv(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_bin_propdiv
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- american_call_bin_propdiv(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_bin_propdiv
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- american_call_bin_propdiv(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the american_call_bin_propdiv
M-function with 8 input arguments.
- american_call_bin_propdiv(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the
american_call_bin_propdiv
M-function with 8 input arguments.
- american_call_bjerkesun_stensland(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_bjerkesun_stensland
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- american_call_bjerkesun_stensland(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_bjerkesun_stensland
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- american_call_bjerkesun_stensland(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the american_call_bjerkesun_stensland
M-function with 6 input arguments.
- american_call_bjerkesun_stensland(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the
american_call_bjerkesun_stensland
M-function with 6 input arguments.
- american_call_futures_bin(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_futures_bin
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- american_call_futures_bin(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_futures_bin
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- american_call_futures_bin(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the american_call_futures_bin
M-function with 6 input arguments.
- american_call_futures_bin(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the
american_call_futures_bin
M-function with 6 input arguments.
- american_call_futures_currcy_bin(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_futures_currcy_bin
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- american_call_futures_currcy_bin(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_futures_currcy_bin
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- american_call_futures_currcy_bin(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the american_call_futures_currcy_bin
M-function with 7 input arguments.
- american_call_futures_currcy_bin(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the
american_call_futures_currcy_bin
M-function with 7 input arguments.
- american_call_onediv(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_onediv
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- american_call_onediv(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_onediv
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- american_call_onediv(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the american_call_onediv
M-function with 7 input arguments.
- american_call_onediv(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the american_call_onediv
M-function with 7 input arguments.
- american_call_perpetual(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_perpetual
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- american_call_perpetual(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_call_perpetual
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- american_call_perpetual(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the american_call_perpetual
M-function with 5 input arguments.
- american_call_perpetual(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the
american_call_perpetual
M-function with 5 input arguments.
- american_put_bin(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_put_bin
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- american_put_bin(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_put_bin
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- american_put_bin(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the american_put_bin
M-function with 6 input arguments.
- american_put_bin(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the american_put_bin
M-function with 6 input arguments.
- american_put_johnson(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_put_johnson
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- american_put_johnson(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the american_put_johnson
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- american_put_johnson(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the american_put_johnson
M-function with 5 input arguments.
- american_put_johnson(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the american_put_johnson
M-function with 5 input arguments.
- asian_geom_avg_call(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the asian_geom_avg_call
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- asian_geom_avg_call(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the asian_geom_avg_call
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- asian_geom_avg_call(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the asian_geom_avg_call
M-function with 6 input arguments.
- asian_geom_avg_call(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the asian_geom_avg_call
M-function with 6 input arguments.
- bermudan_put_bin(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the bermudan_put_bin
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- bermudan_put_bin(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the bermudan_put_bin
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- bermudan_put_bin(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the bermudan_put_bin
M-function with 8 input arguments.
- bermudan_put_bin(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the bermudan_put_bin
M-function with 8 input arguments.
- bs_call_partials(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the bs_call_partials
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- bs_call_partials(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the bs_call_partials
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- bs_call_partials(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the bs_call_partials
M-function with 5 input arguments.
- bs_call_partials(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the bs_call_partials
M-function with 5 input arguments.
- bs_european_call(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the bs_european_call
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- bs_european_call(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the bs_european_call
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- bs_european_call(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the bs_european_call
M-function with 5 input arguments.
- bs_european_call(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the bs_european_call
M-function with 5 input arguments.
- bs_european_put(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the bs_european_put
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- bs_european_put(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the bs_european_put
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- bs_european_put(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the bs_european_put
M-function with 5 input arguments.
- bs_european_put(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the bs_european_put
M-function with 5 input arguments.
- european_call_bin(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the european_call_bin
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- european_call_bin(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the european_call_bin
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- european_call_bin(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the european_call_bin
M-function with 6 input arguments.
- european_call_bin(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the european_call_bin
M-function with 6 input arguments.
- european_call_contpay(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the european_call_contpay
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- european_call_contpay(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the european_call_contpay
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- european_call_contpay(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the european_call_contpay
M-function with 6 input arguments.
- european_call_contpay(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the european_call_contpay
M-function with 6 input arguments.
- european_call_div(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the european_call_div
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- european_call_div(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the european_call_div
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- european_call_div(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the european_call_div
M-function with 7 input arguments.
- european_call_div(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the european_call_div
M-function with 7 input arguments.
- european_call_futures(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the european_call_futures
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- european_call_futures(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the european_call_futures
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- european_call_futures(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the european_call_futures
M-function with 5 input arguments.
- european_call_futures(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the european_call_futures
M-function with 5 input arguments.
- european_call_futures_currcy(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the european_call_futures_currcy
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- european_call_futures_currcy(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the european_call_futures_currcy
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- european_call_futures_currcy(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the european_call_futures_currcy
M-function with 6 input arguments.
- european_call_futures_currcy(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the
european_call_futures_currcy
M-function with 6 input arguments.
- european_call_loopback(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the european_call_loopback
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- european_call_loopback(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the european_call_loopback
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- european_call_loopback(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the european_call_loopback
M-function with 6 input arguments.
- european_call_loopback(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the
european_call_loopback
M-function with 6 input arguments.
- european_call_merton(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the european_call_merton
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- european_call_merton(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the european_call_merton
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- european_call_merton(int, Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the european_call_merton
M-function with 9 input arguments.
- european_call_merton(int, Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the european_call_merton
M-function with 9 input arguments.
- example(List, List) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the example
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
- example(Object[], Object[]) - Method in class OptionPricing.OptionPricing
-
Provides the interface for calling the example
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
- example(Object...) - Method in class OptionPricing.OptionPricing
-
Provides the standard interface for calling the example
M-function with 0 input argument.
- example(Object...) - Method in interface OptionPricing.OptionPricingRemote
-
Provides the standard interface for calling the example
M-function
with 0 input argument.


{% extends "data/base.html" %}
{% block title %}Fragments{% endblock %}
{% block content %}
The format of the fragments is:
Element x y z
Atom1 Atom2 Connection
Where Element
is either the symbol of the element, or a special identifier to allow multiple molecules fragments together. Atom1
and Atom2
are the index number of the atoms in the bonds (1-indexed). The Connection
compenent is the type of bond the atoms have. The possible bonds are in the set {'1', '2', '3', 'Ar'}
where 'Ar'
stands for aromatic.
{% for title, parts in usable_parts %}


Administrators
Username
Forename
Surname
Status
Username
Forename
Surname
Status
Back
Add New Administrator


Galveston Mardi Gras Marathon
Galveston TX/USA
Race Winners
(28 runnings)
05
Feb 2012 2:46:51 3:19:15 20 Feb
2011 2:56:37 3:37:17
1991-2010
---
---
04 Mar
1990
---
---
26 Feb
1989
2:46:09
3:37:40
28 Feb
1988
2:44:14.4
3:41:14
15 Feb
1987
2:42:47.0
3:09:49.6
02 Mar
1986
2:55:39.1
3:20:51.9
03 Mar
1985
2:29:37.2
3:11:38.0
04 Mar
1984
2:34:27.2
3:17:28.5
06 Mar
1983
2:38:51
3:31:50
06 Mar
1982
2:31:23
3:23:30
07 Mar
1981
2:33:08
3:23:42
01 Mar
1980
2:30:57
3:23:09
03 Mar
1979
2:29:48
3:09:32
04 Mar
1978
2:29:51 3:23:31 05 Mar
1977
2:34:02
2:59:00
1976
---
---
22 Nov
1975
2:33:40
3:37:58
23 Nov
1974
2:33:43
3:57:39
17 Nov
1973
2:29:32
3:36:18
18 Nov
1972
2:30:29
20 Nov
1971
2:37:22
3:43:16
21 Nov
1970
2:37:54
22 Nov
1969
2:39:24.8
Notes: 1969 was the inaugural year. The 1969-1978 races were known as the American National Marathon.
The 2011 race was known as the Galveston Mardi Gras Marathon.
12 Feb
2017
2:49:59
Steven Johnson (WI/USA)
3:16:15
Lisa Steffes (PA/USA)
14 Feb
2016
2:52:17
Aaron Gray (TX/USA)
3:20:41
Henrita vanWyngaarden (TX/USA)
01 Feb
2015
2:52:44
Kerry Lee (TX/USA)
3:02:07
Laura Blaylock (AR/USA)
16 Feb
2014
2:55:14
Olli Haavikko (USA)
3:24:43
Amy Ostrowski (USA)
27 Jan
2013
2:55:57
Brad Jones (USA)
3:09:01
Jessica Scheider (USA)
Ryan Martine (USA)
Jill Peters (USA)
Christopher Jackson (USA)
Jacqueline O'Brien (TX/USA)
not held
not held
n/a
n/a
Mike Sandlin (TX/USA)
Carrie McFadden-2
Bob Wolfe-3
Carrie McFadden (TX/USA)
Bob Wolfe-2
Susan Keener-2
Bruce Beegle (TX/USA)
Susan Keener (TX/USA)
Bob Wolfe (TX/USA)
Barbara Kelly
Dave Johnson (CO/USA)
Diana Praker (TX/USA)
Scott Nowlin
Shady Goracke
Ted Goris
Ann Wildes
Robert Briggs-2
Sue Davis-Bradley
Clint Mericle-4 + Robert Briggs (TX/USA)
Donna Lucco (TX/USA)
Clint Mericle-3
Antoinette Bernhard (TX/USA)
Clint Mericle-2
Vanessa Vajdos (TX/USA)
David Erler (TX/USA)
Jean Ohly (IL/USA)
not held
not held
Clint Mericle (TX/USA)
Sally Jurgensen-2
Pat Chester
Sally Jurgensen (TX)
Gary Tuttle-2
Kathy Loper
(TX/USA)
Leonard Hilton-2
.
Gary Tuttle (CA/USA)
Nancy Laird (TX/USA)
Leonard Hilton (TX/USA)
Jerry Smartt (USA)
Most Wins
(1969/date)
Men
4
Clint Mericle (TX/USA)
1975,1978-80
Women
2
Sally Jurgensen (TX)
1974-75
.
Susan Keener (TX/USA)
1986-87
.
Carrie McFadden (TX/USA)
1988-89
Prize Money
(ADR qualified runners)
No prize money has been awarded at this race.
Race Time Bias
Insufficient data to compute the race time bias.
Competitive Level
Insufficient data to compute the competitive level.
Quality Performances
Men No men have run under 2:20 Women No women have run under 2:50
Last Updated on 20 Feb 2017
Contributors: Tom McBrayer, Jon Walk (4)


| rpc_rr_example {pbdRPC} | R Documentation |
Example functions of RPC related to remote R server
check_rr(exec.type = .pbd_env$RPC.LI$exec.type, args = .pbd_env$RPC.LI$args, pport = .pbd_env$RPC.LI$pport, user = .pbd_env$RPC.LI$user, hostname = .pbd_env$RPC.LI$hostname, priv.key = .pbd_env$RPC.LI$priv.key, priv.key.ppk = .pbd_env$RPC.LI$priv.key.ppk, cmd = .pbd_env$RPC.RR$check) kill_rr(exec.type = .pbd_env$RPC.LI$exec.type, args = .pbd_env$RPC.LI$args, pport = .pbd_env$RPC.LI$pport, user = .pbd_env$RPC.LI$user, hostname = .pbd_env$RPC.LI$hostname, priv.key = .pbd_env$RPC.LI$priv.key, priv.key.ppk = .pbd_env$RPC.LI$priv.key.ppk, cmd = .pbd_env$RPC.RR$kill) start_rr(exec.type = .pbd_env$RPC.LI$exec.type, args = .pbd_env$RPC.LI$args, pport = .pbd_env$RPC.LI$pport, user = .pbd_env$RPC.LI$user, hostname = .pbd_env$RPC.LI$hostname, priv.key = .pbd_env$RPC.LI$priv.key, priv.key.ppk = .pbd_env$RPC.LI$priv.key.ppk, preload = .pbd_env$RPC.RR$preload, cmd = .pbd_env$RPC.RR$start)
exec.type |
either "ssh" or "plink" in character. Windows will force to use "plink". |
args |
further arguments to "ssh" or "plink" for connecting to the server in addition to port, user id, and host name. |
pport |
ssh port opened on the server. |
user |
user id for logging to the server. |
hostname |
the server ip or host name. |
priv.key, priv.key.ppk |
location of the private key for user authentication, the file will be
checked first then |
cmd |
the main command to be executed on the server. |
preload |
further commands preloaded before the main |
Using either ssh
or plink
to launch a remote R server.
NO further input from stdin
is expected.
Outputs or errors may not be captured by R.
start_rr()
starts a remote R server on a remote server.
Typical commands to launch a remoter R server is given in the example.
The linux/unix commands are as the following:
1)nohup
is for the non-stop call after disconnection.
2)Rscript -e 'remoter::server()'
is for R to start the
remote R server in batch.
3)> .rrlog
is to direct the stdout
to a file
.rrlog
4)2>&1
is to turn stderr
to stdout
which
is the file .rrlog
.
5)< /dev/null
is to get stdin
from
/dev/null
which is nothing happen.
6)&
is to put the batch command for the remoter R server
in background.
check_rr()
checks if there is a remote R server on a remote
server. Lunix/unix commands ps
and grep
are used.
kill_rr()
kills remote R servers if found.
Lunix/unix commands ps
, grep
, awk
, and kill
are used.
Mainly the message received at the command line will be printed, but may not be captured by R.
## Not run: library(pbdRPC, quietly = TRUE) rpcopt_set(user = "snoweye", hostname = "<IP_ADDRESS>") check_rr() # pid 2857 (may differ) kill_rr() # all remoter pids are killed check_rr() # make sure no remoter servers are running ### use "; " to bypass multiple commands preload <- "source ~/work-my/00_set_devel_R; " ### start a new remoter server start_rr(preload = preload) check_rr() kill_rr() ### Example: for module load on supercomputers preload <- "module load r; " # e.g. via module load r start_rr(preload = preload) check_rr() kill_rr() ## End(Not run)


Minimal with focus on content
The overall necessity of the site involved updatability and responsiveness. Iitially we took Wordpress with a barebones starter theme using the Bootstrap CSS framework and began to design the site within the browser to quickly iterate possible real-world problems and/or interactions. With a limited team, this was the fastest way to not only prototype, but get a product up and running. We released a single page MVP using the same build, but without the back-end 5 months prior to the full product release and tested for speed, accessibility, and viewer response.
One of the key benefits of designing the site within the browser was the ability to focus on the responsive aspects on various screen sizes without having to go back to design in other software.


{% extends "base.html" %} {% block title %}
Medieval catalogues > CISTERCIANS > Bordesley > Books given by earl of Warwick, 1306
{% endif %}29 identified entries found.
All data was derived from the List of Identifications by Professor Richard Sharpe.
{% if not printing %}
A key to codes used in the List is available (opens in new tab).{% endif %}


{[{item.content}]}
Please choose the file from below list
On clicking Yes you will be redirected to Casting Tab of Captive Portal.
Click on Reload to view changes.
Do you want to Continue?


--- layout: default footerlogos: yes title: "Speaker" lang: en ---
Eileen has been with OKF DE since July 2015 and works for the projects Code for Germany and Prototype Fund. Within Code for Germany she especially focuses on local city specific stories.
Eileen will hold a workshop on storytelling regarding your Open Data projects.
Program for the first day


Welcome to VSCode4Teaching! In order to finish your sign up process, please introduce the username and e-mail that were used to invite you.
Now, enter the password you wish to use to log in VSCode4Teaching.
{{ this.error }}
Welcome to VSCode4Teaching!
Sign up process has been successfully finished. You can start creating a new course in your VSCode4Teaching extension at Visual Studio Code and start teaching!


Ants found the gingerbread house. Looked like a miniature scene from a sci-fi/horror pic. "Oh no, the giant ants are coming. Hide!"
12/8/2009, 9:19:54 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Ants found the gingerbread house. Looked like a miniature scene from a sci-fi/horror pic. "Oh no, the giant ants are coming. Hide!"
12/8/2009, 9:19:54 PM
Favs: 0
Retweets: 0
link


A Swift Web Framework and HTTP Server
Summary
Kitura is a web framework and web server that is created for web services written in Swift. For more information, visit www.kitura.io.
Table of Contents
Features
- URL routing (e.g., GET, POST, PUT, DELETE, PATCH)
- Codable routing
- URL parameters
- Static file serving
- FastCGI support
- SSL/TLS support
- Pluggable middleware
Getting Started
Visit www.kitura.io for a Getting Started guide, tutorials, and API reference documentation.
Contributing to Kitura
All improvements to Kitura are very welcome! Here’s how to get started with developing Kitura itself.
- Clone this repository.
$ git clone https://github.com/IBM-Swift/Kitura
- Build and run tests.
$ swift test
You can find more info on contributing to Kitura in our contributing guidelines.
Community
We love to talk server-side Swift, and Kitura. Join our Slack to meet the team!


Buddy311 is the simplest way to report a problem in your city - period. Skip the confusing menus and tell the city what's wrong by talking naturally into your phone. Buddy311 also supports cities through AI and big data, helping governments spend less time processing requests and more time fixing problems for their residents.
Reporting a problem in your city is as simple as talking into your phone. Buddy311 creates a ticket with your speech and notifies your local government.
Users no longer need to wade through multiple menus trying to decide which category their problem fits into. Buddy311 does the heavy lifting for you, and chooses the appropriate category based on your problem.
Government 311 services spend less time rerouting misclassified tickets, and more time solving problems.
Take Buddy311 for a spin! Click the microphone button below and state your complaint.
You now have the shortcut installed. To use it:
Combining extensive data sources with state-of-the-art NLP classification technology.
The model we use to classify complaints is based on an open-source pre-trained transformer model called Finetune, developed by OpenAI and Indico. It is built upon TensorFlow.
Finetune is a task-agnostic semi-supervised Natural Language Processing algorithm. Word representations are pre-trained on a very large corpus of media of different styles and subjects to obtain a generalized representation of the English language. The pre-trained language model can predict the next word in a sentence, given all the words that came before it. Finetune uses the “Multi-Layer Transformer Decoder” model architecture, which is a deep-learning model that utilizes the concept of attention to selectively focus on different parts of the input while training. For this step, Finetune trained their model on the BooksCorpus dataset, which contains seven thousand unique books.
This website provides a basic overview of the Buddy311 system. Aside from the background information on our technology, we offer multiple user-friendly options to interact with the Buddy311 complaint classification model.
The first option is a direct connection with a Google Assistant Agent chatbot that takes user input text or speech-to-text and packages the complaint to query the model using the model's REST API. The second option is a custom Siri shortcut for updated iOS devices which is able to call the same model REST API.
Behind the scenes, our back end archecture recieves complaint text and metadata from from the front end interface and sends this data to our model classification queue and to our database to log the complaint.
From the graphic above, we see that the submitted complaint is sent via the OPEN311 API to our database and a Kafka client, giving a submission confirmation back to the user to ensure them that their concern is our concern. The OPEN311 API sends the complaint text and any additional metadata provided by the user to our database. At the same time, it sends the complaint text to a Kafka instance that queues complaints and periodically sends the complaint text to the Buddy311 model server for classification. When the classification is complete, the classification is stored in the system database, ready for use.
We will continue working with SeeClickFix, a major U.S. company providing mobile apps and software for city complaints, to test our classification model.
Your other buddies


Improved deep equality testing for [node](http://nodejs.org) and the browser.
Deep Eql is a module which you can use to determine if two objects are "deeply" equal - that is, rather than having referential equality (a === b
), this module checks an object's keys recursively, until it finds primitives to check for referential equality. For more on equality in JavaScript, read the comparison operators article on mdn.
As an example, take the following:
1 === 1 // These are primitives, they hold the same reference - they are strictly equal
1 == '1' // These are two different primitives, through type coercion they hold the same value - they are loosely equal
{ a: 1 } !== { a: 1 } // These are two different objects, they hold different references and so are not strictly equal - even though they hold the same values inside
{ a: 1 } != { a: 1 } // They have the same type, meaning loose equality performs the same check as strict equality - they are still not equal.
var deepEql = require("deep-eql");
deepEql({ a: 1 }, { a: 1 }) === true // deepEql can determine that they share the same keys and those keys share the same values, therefore they are deeply equal!
deep-eql
is available on npm.
$ npm install deep-eql
The primary export of deep-eql
is function that can be given two objects to compare. It will always return a boolean which can be used to determine if two objects are deeply equal.
Object.is
:
eql(NaN, NaN).should.be.true;
eql(-0, +0).should.be.false;
eql(Object.create({ foo: { a: 1 } }), Object.create({ foo: { a: 1 } })).should.be.true;
eql(Object.create({ foo: { a: 1 } }), Object.create({ foo: { a: 2 } })).should.be.false;
eql([], arguments).should.be.false;
eql([], Array.prototype.slice.call(arguments)).should.be.true;
eql(new Error('msg'), new Error('msg')).should.be.false;
var err = new Error('msg'); eql(err, err).should.be.true;


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Powerlifting is a strength sport with competitions on three lifts: squat, bench press, and deadlift. For each lift, the athlete has three attempts to lift maximal weight for a single repetition. Each competition is divided based on gender, age, and different weight classes. For example, the USA Powerlifting (USAPL) federation has eight weight classes in 2019: 43 kg, 47 kg, 52 kg, 57 kg, 63 kg, 72 kg, 84 kg, 84+ kg.
Squat is one of the most complex yet important movement to master. It is crucial to learn the proper technique of squat to avoid injury and gain strength. The video on the left explains the steps on how to perform the squat.


---
layout: post
title: 3/31
date: '2013-03-31T23:00:00.001-06:00'
author: Jacob .
tags:
modified_time: '2013-03-31T23:00:55.457-06:00'
blogger_id: tag:blogger.com,1999:blog-6400085873105072120.post-7291568493768648029
blogger_orig_url: http://www.svlark.com/2013/03/331.html
---
Well, not our most productive weekend in terms of preparing for this sale, but we made some good headway on clearing out and cleaning up per our stager's guidance.
Audrey continues to crank through these TYCTR lessons. She read us lesson 91 this morning.
We are getting lots of inspiration from South from Alaska.


Here you can find friends of stalk strangers.
The Dog Social Network does not take any responsibility fot the information found.


MASTER OF LIBERAL ARTS
MLA -541 ACDM WRTG/RSRCH DESIGN 1 CU 640 ONL M 6:30-8:30PM TBA RABBERMAN K ONLINE COURSE ONLY MAX: 20 MLA -699 MLA CAPSTONE SEMINAR 1 CU 640 SEM M 6-8PM TBA MURRAY M CONTACT DEPT or INSTRUCTOR FOR CLASSRM INFO PERMISSION NEEDED FROM DEPARTMENT COURSE WILL MEET IN 2ND FLOOR CONFERENCE ROOM AT THE GSE. MAX: 30 CAPSTONE PROJECT SEMINAR 1 CU 647 IND TBA WATTERSON K CAPSTONE SEMINAR ONLINE 1 CU 650 ONL W 6:30-8:30PM TBA RABBERMAN K ONLINE COURSE ONLY MAX: 15
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Who We Are
My name is Erika Barreiro, I'm the founder of Amore Paraiso and your Wedding Planner in Costa Rica! I fell in love with this inspiring Country, It's lifestyle, beaches, mountains, waterfalls and views, living in Costa Rica encouraged me to find my passion and to create a life I adore. I am a lawyer who decided to follow my heart and do what I love the most; helping you to plan, design and create a beautiful wedding, surrounded with nature, good vibes and pura vida, so I started my own wedding planner services in Costa Rica. Together we can create your dream, authentic wedding in Costa Rica. You don't have to worry any longer for consulting all the vendors by yourself, trying to communicate and trying to make everything fit. I provide expert advise for any aspect of your wedding planning in Costa Rica: such as dealing with paperwork, sourcing local trustable suppliers (venues, photographers, flowers…),setting up and planning wonderful tours and adventures for you and your guests and also giving you creative ideas with a tropical twist! Getting married in Costa Rica is not complicated, but it could be a hassle if you do not know the language or you are not familiar with the Costa Rican culture. For these reasons I can help you in many ways. I speak your language and the local language, I know the best vendors in town and I can make your wedding planning easy and fun. Do not hesitate to contact me and tell me about your wedding idea – I will give you initial suggestions which will reflect your style as well as your budget.
Plan my wedding


A group for students interested in Bioinformatics, Computational Biology and associated fields based at the Univeristy of Melbourne.
Facebook group for all members and supporters of the Bioinformatics Graduate Student Association at the University of Melbourne. The majority of the groups activity occurs here.
A journal club for students and early career researchers in Bioinformatics. Meetings held Tuesdays at 8am in Parkville (Melbourne, Australia).
Low traffic mailing list for workshops, seminars and scoial events organsied by the BGSA


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