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Election * * * * (out of * * * * )
Directed by Alexander Payne.  Reviewed May 8, 1999.
Well, who would have thunk it? After an endless stream of mostly predictable and cliched movies set in high school in the last year, one has finally come along that is amazingly so precise, so hilarious, so biting, so smart, so perfect, in every one of its minute details that it comes as a sort of godsend. Its name is "Election," it's directed by Alexander Payne (1996's "Citizen Ruth"), and it, no doubt, will go down as one of the very best films of 1999.
Set at Omaha's Carver High School during the election for student council, the film imaginatively is narrated by all four of the main characters so that we can learn and understand the innerworkings of their minds, even when they are saying the opposite of the actions they are making. Jim McAllister (Matthew Broderick, coming full circle from his role in 1986's classic "Ferris Bueller's Day Off") is the school's most popular teacher, a guy who has won the Best Teacher Award for three years running and who shows up at school nice and early each day. Friendly to (almost) all of his pupils, the one student who manages to get under his skin so much that he can't stand her is overachieving senior Tracey Flick (Reese Witherspoon), currently running unopposed for school president. If you're old enough to have experienced high school, you've definately run into someone like Tracey. She's the "perfect" student, a person who seems friendly to everyone even though you can see through their thin facade; a person who constantly raises their hand in class and knows every answer to every question; and a person who you know, no matter what, is going to achieve everything that he or she strives for in life. It's just Mr. McAllister's luck, then, that he happens to also run the student elections and, determined to cause Tracey to lose just one thing in her life, he convinces naively cheerful football jock, Paul Metzler (Chris Klein), who has recently broken his leg in a skiing accident, to run against her for president. Altough at first hesitant, Paul quickly grows eager to join the race, causing Tracey to grow outraged. For her, this means war. But that's not all; in a plot twist whose particulars should be discovered on your own, Paul's younger, rebellious sister, Tammy (Jessica Campbell), a sophomore, also enters into the race, causing a three-way tug-of-war between Tammy, who poses to the students that she doesn't even care if she wins the election, and as president, won't do anything; Paul, who is joyous just to be in the running; and dear, dear Tracey, who will go to any length possible to ensure her ultimate defeat.
Reading the premise, "Election" may sound like "just another teen flick," but it isn't by a long shot, and is in its masterful treatment that it succeeds so highly. I can assure you there is no climax set at the prom, and the story doesn't cowardly degenerate into a romance concerning which guy gets the girl. No, what "Election" is is a brilliantly articulated satire, a "high school" movie that is probably targeted more towards adults, but that all thoughtful teens will greatly appreciate as a much-needed diversion from all of those sugar-coated teen fantasies that have assaulted the multiplex in recent months.
Although "about" a high school election, it gradually grows clear that telling such a simple, clear-cut story isn't director Payne's intentions. Not only is there a heavy dosage of narration by the four principle characters, but the film also isn't always told chronologically, as each plot thread is carefully and delightfully torn away to not only create a more meaningful motion picture, but also one that has something to say about loneliness. Through the big, sly laughs that the film creates, it is revealed that each of the characters are lonely, in their own certain way, and we are taken into each one of their lives to learn just why they are the way they are.
For example, we eventually find that Jim McAllister is obviously unhappily married (even though he says during narration that his wife is "his source of strength"). When his buddy and a fellow teacher, Dave Novotny (Mark Harelik), is fired for having a sexual relationship with one of his students, Jim grows closer to Dave's solemn wife, spending more and more time with her and convincing himself that he loves her, not realizing that it isn't love that draws them together, but desperation. Jim's life is a monotonous and dull routine, as he goes to school, teaches the same things over day after day, and then goes home to the same woman that he has been married to for nine years. Certainly a lot of people have this sort of life, but Jim needs more. Matthew Broderick, who has fallen on hard times in recent years (1997's "Addicted to Love," 1998's "Godzilla"), has revitalized his career with "Election," and has, indeed, given his strongest, most gratifying performance since "Ferris Bueller" thirteen years ago. We don't just see his sadness, we feel it.
Matching Broderick in every way is Reese Witherspoon, maybe the most talented actress under 25 working today, who has never been better. It would be criminal to see her flawless, nuanced, and hilarious performance get snubbed of an Oscar nomination come next year. Witherspoon transforms herself so completely into the heart, soul, and body of Tracey that it will be difficult from now on to distinguish the two personalities, although she is so wonderful in every film that she should have no trouble doing just that. In the character of Tracey Flick, we have also been given one of the most distinguished and memorable characters I've probably ever seen in my years of film-watching. She is the type of girl who you really shouldn't like at all. She's perky, she's unblemished, she's successful, but she is also so desperate and determined to be a winner that you can't help but feel genuinely sorry for her when things don't go her way. Like Jim McAllister, no matter what feats Tracey seems to triumph over she remains a lonely person without any actual friends. In a couple brief scenes involving her paralegal mother (Colleen Camp), we get a few hints as to what made Tracey the way she is. Although loving, her mother strives for the same exact great success as Tracey.
Chris Klein and Jessica Campbell, two film newcomers, also fit neatly into their respective roles. Klein is probably the most completely likable character in the film, as his Paul comes off as always innocent, even after we see him doing several arguably negative things, because he is so unintelligible and dense that he never really comprehends the things he's doing. There's no denying, however, that Paul has a big heart, and he cares about others. Jessica Campbell turns in a touching performance as the outsider, Tammy, who is torn apart when the girl she loves breaks up with her. "I'm not really a lesbian, though," Tammy reassures. "It just so happens that so far all of the people I have been attracted to have been girls."
If "She's All That" is "'Pygmalion' set in a high school" and "10 Things I Hate About You" is "'The Taming of the Shrew' set in a high school," "Election" is "'Fargo' set in a high school," and out of the three the latter is definately the highest honor. We don't necessarily watch "Election" as much as we absorb every single second of its constant entertainment and pleasures, excited to find out where it will lead us. Of technical note, the music score by Rolfe Tent is distinct and often even gains laughs because of its frightening perfection, sort of like Tracey herself. Writers Payne and Jim Taylor have fashioned one of the most fresh and original screenplays to come along in some time, as it never condescends to any of its potential audience members, whether it be adults or teens. "Election" is a dazzling dark comedy, clear in both tone and substance, and has the ability to be rib-tickling one moment and poignant the next, all the while never losing sight of its truthfulness and courage. In a week when "The Mummy" will unfairly be the #1 movie in America, making tens of millions of dollars, "Election" is the real deal, and now that it is in wide release, make it an effort to go out and see this sure-to-be classic as soon as humanly possible.
- Copyright 1999 by Dustin Putman Http://hometown.aol.com/FilmFan16/index.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Greyhound divisively hello coldly wonderfully marginally far upon excluding.


Web Developer
I first came across web technologies inspired by friends that shifted gears from various fields to coding. Since then, I've studied alone through online courses. But soon realized that the courses was insufficient to craft applications.
When I moved from Sydney, Australia to Southern California - a beach city to an even sunnier beach city. I decided to take a break from my comfort zone and studied programming full-time. There I was able to learn from a team of professional senior level developers, and connect in a developer team environment with a group of passionate people to nurture coding knowledge. It really is a decision I will never regret.
Fuelled by my love to debug, solve problems and build things, I look forward to immerse in more code and construct more exciting projects!


Package org.apache.shiro.crypto
Interface CipherService
-
- All Known Implementing Classes:
AbstractSymmetricCipherService
,AesCipherService
,BlowfishCipherService
,DefaultBlockCipherService
,JcaCipherService
public interface CipherService
ACipherService
uses a cryptographic algorithm called a Cipher to convert an original input source using akey
to an uninterpretable format. The resulting encrypted output is only able to be converted back to original form with akey
as well.CipherService
s can perform both encryption and decryption.Cipher Basics
For what is known as SymmetricCipher
s, theKey
used to encrypt the source is the same as (or trivially similar to) theKey
used to decrypt it. For AsymmetricCipher
s, the encryptionKey
is not the same as the decryptionKey
. The most common type of Asymmetric Ciphers are based on what is called public/private key pairs: A private key is known only to a single party, and as its name implies, is supposed be kept very private and secure. A public key that is associated with the private key can be disseminated freely to anyone. Then data encrypted by the public key can only be decrypted by the private key and vice versa, but neither party need share their private key with anyone else. By not sharing a private key, you can guarantee no 3rd party can intercept the key and therefore use it to decrypt a message. This asymmetric key technology was created as a more secure alternative to symmetric ciphers that sometimes suffer from man-in-the-middle attacks since, for data shared between two parties, the same Key must also be shared and may be compromised. Note that a symmetric cipher is perfectly fine to use if you just want to encode data in a format no one else can understand and you never give away the key. Shiro uses a symmetric cipher when creating certain HTTP Cookies for example - because it is often undesirable to have user's identity stored in a plain-text cookie, that identity can be converted via a symmetric cipher. Since the the same exact Shiro application will receive the cookie, it can decrypt it via the sameKey
and there is no potential for discovery since that Key is never shared with anyone.
ShiroCipherService
s vs JDKCipher
sCipherService
s essentially do the same things as JDKCipher
s, but in simpler and easier-to-use ways for most application developers. When thinking about encrypting and decrypting data in an application, most app developers want what aCipherService
provides, rather than having to manage the lower-level intricacies of the JDK'sCipher
API. Here are a few reasons why most people preferCipherService
s:- Stateless Methods -
CipherService
method calls do not retain state between method invocations. JDKCipher
instances do retain state across invocations, requiring its end-users to manage the instance and its state themselves. - Thread Safety -
CipherService
instances are thread-safe inherently because no state is retained across method invocations. JDKCipher
instances retain state and cannot be used by multiple threads concurrently. - Single Operation -
CipherService
method calls are single operation methods: encryption or decryption in their entirety are done as a single method call. This is ideal for the large majority of developer needs where you have something unencrypted and just want it decrypted (or vice versa) in a single method call. In contrast, JDKCipher
instances can support encrypting/decrypting data in chunks over time (because it retains state), but this often introduces API clutter and confusion for most application developers. - Type Safe - There are
CipherService
implementations for different Cipher algorithms (AesCipherService
,BlowfishCipherService
, etc). There is only one JDKCipher
class to represent all cipher algorithms/instances. - Simple Construction - Because
CipherService
instances are type-safe, instantiating and using one is often as simple as calling the default constructor, for example,new AesCipherService();
. The JDKCipher
class however requires using a procedural factory method with String arguments to indicate how the instance should be created. The String arguments themselves are somewhat cryptic and hard to understand unless you're a security expert. Shiro hides these details from you, but allows you to configure them if you want.
- Since:
- 1.0
- See Also:
BlowfishCipherService
,AesCipherService
-
-
Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description ByteSource
decrypt(byte[] encrypted, byte[] decryptionKey)
Decrypts encrypted data via the specified cipher key and returns the original (pre-encrypted) data.void
decrypt(InputStream in, OutputStream out, byte[] decryptionKey)
Receives encrypted data from the givenInputStream
, decrypts it, and sends the resulting decrypted data to the givenOutputStream
.ByteSource
encrypt(byte[] raw, byte[] encryptionKey)
Encrypts data via the specified cipher key.void
encrypt(InputStream in, OutputStream out, byte[] encryptionKey)
Receives the data from the givenInputStream
, encrypts it, and sends the resulting encrypted data to the givenOutputStream
.
-
-
-
Method Detail
-
decrypt
ByteSource decrypt(byte[] encrypted, byte[] decryptionKey) throws CryptoException
Decrypts encrypted data via the specified cipher key and returns the original (pre-encrypted) data. Note that the key must be in a format understood by the CipherService implementation.- Parameters:
encrypted
- the previously encrypted data to decryptdecryptionKey
- the cipher key used during decryption.- Returns:
- a byte source representing the original form of the specified encrypted data.
- Throws:
CryptoException
- if there is an error during decryption
-
decrypt
void decrypt(InputStream in, OutputStream out, byte[] decryptionKey) throws CryptoException
Receives encrypted data from the givenInputStream
, decrypts it, and sends the resulting decrypted data to the givenOutputStream
. NOTE: This method does NOT flush or close either stream prior to returning - the caller must do so when they are finished with the streams. For example:try { InputStream in = ... OutputStream out = ... cipherService.decrypt(in, out, decryptionKey); } finally { if (in != null) { try { in.close(); } catch (IOException ioe1) { ... log, trigger event, etc } } if (out != null) { try { out.close(); } catch (IOException ioe2) { ... log, trigger event, etc } } }
- Parameters:
in
- the stream supplying the data to decryptout
- the stream to send the decrypted datadecryptionKey
- the cipher key to use for decryption- Throws:
CryptoException
- if there is any problem during decryption.
-
encrypt
ByteSource encrypt(byte[] raw, byte[] encryptionKey) throws CryptoException
Encrypts data via the specified cipher key. Note that the key must be in a format understood by theCipherService
implementation.- Parameters:
raw
- the data to encryptencryptionKey
- the cipher key used during encryption.- Returns:
- a byte source with the encrypted representation of the specified raw data.
- Throws:
CryptoException
- if there is an error during encryption
-
encrypt
void encrypt(InputStream in, OutputStream out, byte[] encryptionKey) throws CryptoException
Receives the data from the givenInputStream
, encrypts it, and sends the resulting encrypted data to the givenOutputStream
. NOTE: This method does NOT flush or close either stream prior to returning - the caller must do so when they are finished with the streams. For example:try { InputStream in = ... OutputStream out = ... cipherService.encrypt(in, out, encryptionKey); } finally { if (in != null) { try { in.close(); } catch (IOException ioe1) { ... log, trigger event, etc } } if (out != null) { try { out.close(); } catch (IOException ioe2) { ... log, trigger event, etc } } }
- Parameters:
in
- the stream supplying the data to encryptout
- the stream to send the encrypted dataencryptionKey
- the cipher key to use for encryption- Throws:
CryptoException
- if there is any problem during encryption.
-
-


This is a fan page for Git wiki. Make yourself at home!
April 27, 2020 - GIT wiki's Birthday
Here is a link to wiki: GitHub


LGariv's LaVie
LaVie
minimal yet necessary tweaks.
Add to Cydia
Buy me:
Cup of coffee $1.00 USD
Beer $2.50 USD
Ice Cream $5.00 USD
Pizza $10.00 USD


// USE THESE SAMPLES IN JS HTML CONVERTERS // WHERE EVER THERE IS BOTH AN ID AND A CLASS FOR A SINGLE DIV... //...IDS ARE DESIGNED TO HOLD INTERPOLATIONS OF UNIQUE IDENTIFIERS WHILE CLASSES ARE USED FOR CSS PURPOSES.
${users.userName} •
Complete by: ${tasks.expectedCompletionDate}
${obj.date}


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Victoria Island Annex, Lagos, Nigeria
Email<EMAIL_ADDRESS>www.LandmarkAfrica.com
Phone +234 (0)<PHONE_NUMBER> | +234 (0)<PHONE_NUMBER>
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Extend from $.fn.panel.defaults. Override defaults with $.fn.window.defaults.
The properties extend from panel, below is the overridden and added properties for window.
| Name | Type | Description | Default |
|---|---|---|---|
| title | string | The window title text. | New Window |
| collapsible | boolean | Defines if to show collapsible button. | true |
| minimizable | boolean | Defines if to show minimizable button. | true |
| maximizable | boolean | Defines if to show maximizable button. | true |
| closable | boolean | Defines if to show closable button. | true |
| closed | boolean | Defined if to close the window. | false |
| zIndex | number | Window z-index,increase from it. | 9000 |
| draggable | boolean | Defines if window can be dragged. | true |
| resizable | boolean | Defines if window can be resized. | true |
| shadow | boolean | If set to true,when window show the shadow will show also. | true |
| inline | boolean | Defines how to stay the window, true to stay inside its parent, false to go on top of all elements. | false |
| modal | boolean | Defines if window is a modal window. | true |
The events extend from panel.
The methods extend from panel, below is the added methods for window.
| Name | Parameter | Description |
|---|---|---|
| window | none | Return the window object. |


{% extends "kadmin/base.html" %} {% block content_title %}
There are currently {{ synonym_add_count }} synonym{{ synonym_add_count|pluralize }} that have not been synced to ES, and {{ synonym_remove_count }} synonym{{ synonym_add_count|pluralize }} that need to be removed from ES.
Press this button to update the synonym list in Elasticsearch to match what is in the database.
Keep in mind that changing synonyms will cause a small down time to the search system, during which time users will receive a friendly error message, and some parts of the site will be slower. This downtime should only last a few seconds. Consider doing this during off-peak hours, like after 00:00 UTC.
This is an advanced way to edit synonyms with no training wheels. It is intended for bulk insertion and mass editing by expert users. If that doesn't sound like you, you can use the simpler interface instead. Remember to come back here and click that sync button above after editing the synonyms.
This is all the synonyms for the site. If you add a line, it will create a new synonym set. If you delete a line, that synonym will be deleted. Be careful!
The format here is one synonym set per line. A synonym set is a set of
words on the left that will be transformed into the set of words on the right, with a
"fat arrow" (=>
) in between. Each of the words on the left
set will be converted to all of the words on the right. For example a line
like social => facebook, twitter
would make a search for
"social integration" match all of the documents "facebook integration"
and "twitter integration". It's fine to have multi-word phrases like
address bar, location bar, awesome bar => address bar, location bar, awesome bar
,
which would make those three phrases completely interchangeable.
Note that the original word is lost during the conversion. If you want to
keep the original words(s) in the search, include those words on the right,
For example social => facebook, twitter, social
. Also,
synonyms are one way only. If you want two way synonyms, you need two
lines, or to put all words on both sides.
Note, those are line numbers, not ID numbers.


This is my github io home page. I plan to update it to showcase some of work I have done recently.
Learn more about me...


[1]
unfortunately the issues very much spoilt my experience of this issue was not dealt with.
[2]
if these three issues very much spoilt my experience of this issue was not dealt with.


WSO2 grants its employees the privilege of purchasing and using personal mobile devices including smartphones and tablets at work for their convenience. WSO2 employees must agree to the terms and conditions set forth in this policy in order to be able to connect their mobile devices to WSO2's Corporate Network. WSO2 reserves the right to revoke this privilege if employees do not abide by the conditions mentioned in the policy.
WSO2 employees must agree to the terms and conditions set forth in this policy in order to be able to connect their mobile devices to WSO2's Corporate Network.
WSO2 grants its employees the privilege of purchasing and using personal mobile devices including smartphones and tablets at work for their convenience. WSO2 employees must agree to the terms and conditions set forth in this policy in order to be able to connect their mobile devices to WSO2's Corporate Network. WSO2 reserves the right to revoke this privilege if employees do not abide by the conditions mentioned in the policy.
WSO2 grants its employees the privilege of purchasing and using personal mobile devices including smartphones and tablets at work for their convenience. WSO2 employees must agree to the terms and conditions set forth in this policy in order to be able to connect their mobile devices to WSO2's Corporate Network. WSO2 reserves the right to revoke this privilege if employees do not abide by the conditions mentioned in the policy.
WSO2 grants its employees the privilege of purchasing and using personal mobile devices including smartphones and tablets at work for their convenience. WSO2 employees must agree to the terms and conditions set forth in this policy in order to be able to connect their mobile devices to WSO2's Corporate Network. WSO2 reserves the right to revoke this privilege if employees do not abide by the conditions mentioned in the policy.


Listed below are a few Chrome friendly extensions along with others used on other browsers including Firefox,Safari,Opera. Chrome seems to be a popular browser for most users.
Pocket (Chrome/Firefox/Safari/Opera/Edge)
Able to save all your bookmarks on your tool bar to easily get to your favorite pages later on.
1Password – A great concept came along- this website &extensions store & save your passwords.. It's a great idea to have a secure place for your inmportant information.. Only downside is that is cost $2.99/monthly or $4.99 which includes up to 5 family members that are added to the account where they can share and save their passwords.
Social Media
Pin it (Chrome)- Simply click to share you favorite pins right from your tool bar.
Instagram- View & share content on your account
Travel
Invisible Hand (Chrome, Firefox and Safari)
Finds the best price for items your going to buy.
Traveling? This can find the lowest price when you search for flights, hotels and rental cars.
Shopping
Honey (Chrome, Firefox, Safari and Opera)
Ebates (Chrome) I love to be able to click on the E button in my tool bar, to access ebates and seeing what cash back offers are at the stores I'm going to make a purchase at.
Coupons At Checkout(Chrome, Safari, and Firefox)
Displays & beats deals automatically
Graphics
Color Picker – Can identify the precise color of anything in your browser


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DJI Matrice Pro 600
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Parrot Anafi
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DJI Spark
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Our Most Advanced Drone | Made for Enterprises that Settle for Zero Compromise | Agriculture Technology | Controll 5 Drones with One Controller | Efficient Crop Dusting | Automated flight
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Parrot Disco
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In this vignette, we introduce how primitive Presto data types are
translated into R types in the RPresto
package.
library(RPresto)
You can check your RPresto
version by running the
packageVersion()
function. You need version 1.3.9
or later to have a more comprehensive and robust primitive types
support.
packageVersion("RPresto")
#> [1] '1.4.5'
Here primitive types refer to basic data types that are
atomic and non-nested (as opposed to structural types such as
ARRAY
, MAP
, and ROW
). Refer to
the Presto
documentation for a complete list of Presto data types.
We don’t currently support all of Presto’s primitive types. Here we summarize what’s supported and what those supported types map to in R.
| Category | Presto data type | R type |
|---|---|---|
| Boolean | BOOLEAN | logical |
| Integer | TINYINT | integer |
| Integer | SMALLINT | integer |
| Integer | INTEGER | integer |
| Integer | BIGINT | {integer|integer64|numeric|character} |
| Floating-point | REAL | numeric |
| Floating-point | DOUBLE | numeric |
| Fixed-precision | DECIMAL | character |
| String | VARCHAR | character |
| String | CHAR | character |
| String | VARBINARY | raw |
| String | JSON | not supported |
| Date and Time | DATE | Date (S3 class) |
| Date and Time | TIME | difftime (S3 class) |
| Date and Time | TIME WITH TIME ZONE | difftime (S3 class) |
| Date and Time | TIMESTAMP | POSIXct (S3 class) |
| Date and Time | TIMESTAMP WITH TIME ZONE | POSIXct (S3 class) |
| Date and Time | INTERVAL YEAR TO MONTH | Duration (S4 class) |
| Date and Time | INTERVAL DAY TO SECOND | Duration (S4 class) |
We assume that the user already have a Presto server with a memory connector set up. If you don’t have such a server set up, refer to the Presto documentation for instructions if you want to follow along.
We first create a PrestoConnection
which will serve as
the bridge between the Presto server and R.
<- DBI::dbConnect(
con drv = RPresto::Presto(),
host = "http://localhost",
port = 8080,
user = Sys.getenv("USER"),
catalog = "memory",
schema = "default"
)
We first issue a simple query to see if the Presto connection is working properly.
::dbGetQuery(con, "SELECT 1+1 AS res")
DBI#> # A tibble: 1 × 1
#> res
#> <int>
#> 1 2
To illustrate how those primitive types are mapped to R types in bulk, we first create a made-up table with 3 rows and 17 fields (i.e., one column for each supported Presto type).
We create the table using an auxiliary
create_primitive_types_table()
function included in the
package.
:::create_primitive_types_table(
RPrestotable_name = "presto_primitive_types", verbose = FALSE
con, )
We can check if the table now exists in Presto.
::dbExistsTable(con, "presto_primitive_types")
DBI#> [1] TRUE
We can list the fields in the table. They are named after the Presto types they represent.
::dbListFields(con, "presto_primitive_types")
DBI#> [1] "boolean" "tinyint" "smallint"
#> [4] "integer" "bigint" "real"
#> [7] "double" "decimal" "varchar"
#> [10] "char" "varbinary" "date"
#> [13] "time" "time_with_tz" "timestamp"
#> [16] "timestamp_with_tz" "interval_year_to_month" "interval_day_to_second"
Translating boolean values from Presto to R is fairly
straightforward. true
and false
values are
mapped to TRUE
and FALSE
in R and
null
is mapped to NA
which is by default a
logical
(i.e., boolean) type in R.
(<- dbGetQuery(con, "SELECT boolean FROM presto_primitive_types")
df.boolean
)#> # A tibble: 3 × 1
#> boolean
#> <lgl>
#> 1 TRUE
#> 2 FALSE
#> 3 NA
We can verify that all three values in R are
logical
.
::map_chr(df.boolean$boolean, class)
purrr#> [1] "logical" "logical" "logical"
Presto has 4 integer data types.
TINYINT
is 8-bit and ranges from -2^7
to
2^7-1
.
SMALLINT
is 16-bit and ranges from -2^15
to
2^15-1
.
INTEGER
is 32-bit and ranges from -2^31
to
2^31-1
.
BIGINT
is 64-bit and ranges from -2^63
to
2^63-1
.
| Presto data type | Bits | Minimum value | Maximum value |
|---|---|---|---|
| TINYINT | 8 | -128 | 127 |
| SMALLINT | 16 | -32,768 | 32,767 |
| INTEGER | 32 | -2,147,483,648 | 2,147,483,647 |
| BIGINT | 64 | -9,223,372,036,854,775,808 | 9,223,372,036,854,775,807 |
In comparison, base R only ships with one 32-bit integer type, but
the range is slightly different from Presto. R’s integer type ranges
from -2^31+1 = -2,147,483,647
to
2^31-1 = 2,147,483,647
. The one number (out of ~4.3 billion
32-bit integer numbers) that’s a valid INTEGER
in Presto
but not in R is the range lower bound -2,147,483,648
.
Since all TINYINT
, SMALLINT
, and
INTEGER
numbers (except -2,147,483,648
) can be
fit into R’s integer
type, we translate all of them to
integer
s.
(<- dbGetQuery(
df.non_bigint_int "SELECT tinyint, smallint, integer FROM presto_primitive_types"
con,
)
)#> # A tibble: 3 × 3
#> tinyint smallint integer
#> <int> <int> <int>
#> 1 -128 -32768 -2147483647
#> 2 127 32767<PHONE_NUMBER>
#> 3 NA NA NA
We can verify that all three columns in R are integer
types.
::map_chr(df.non_bigint_int, class)
purrr#> tinyint smallint integer
#> "integer" "integer" "integer"
We can also show that mapping the one exception
-2,147,483,648
to R results in an error while the query
runs correctly in Presto. Users whose data contains the
exceptional integer should consider using the BIGINT
type
rather than INTEGER
to encode the data in
Presto.
dbGetQuery(con, "SELECT CAST('-2147483648' AS INTEGER) AS non_bigint_exception")
#> # A tibble: 1 × 1
#> non_bigint_exception
#> <int>
#> 1 NA
Since the Presto BIGINT
type is 64-bit, its range is
clearly much wider than base R’s integer
type.
However, by default we still map BIGINT
integers from
Presto to integer
in R, for two reasons.
R doesn’t have native 64-bit integer support yet. Mapping
BIGINT
to a 64-bit integer in R will require additional
package and add extra dependencies.
The 32-bit integer range covers 2+ billion positive integers and 4.3 billion integers in total. Most integer values used in data analysis and modeling can be well covered in that range.
Besides the default mapping to integer
(albeit 32-bit)
type, we offer three other options when it comes BIGINT
mapping.
Firstly, using the bigint = "character"
argument
instructs RPresto
to cast the BIGINT
value to
a character
type. This is particularly useful when
BIGINT
is used to store long IDs rather than large numbers
(i.e., the numbers are not used in arithmetic computations).
Using bigint = "integer64"
makes
RPresto
translate BIGINT
values to a value of
the integer64
S3 class from the bit64
package.
bigint = "numeric"
makes RPresto
store
the BIGINT
value in a numeric
( i.e.,
double
) type.
Whenever we map an integer to another numeric type, we always need to
consider the precision of the mapping, that is, whether there’s any
precision loss during the translation. Among the three translation
options above, the first one (i.e., casting BIGINT
to
character
) doesn’t involve any precision translation, so we
will focus the precision discussion on the other two translations (
bit64::integer64
and numeric
).
On the receiving end, the bit64::integer64
type has a
range from -2^63+1 = -9,223,372,036,854,775,807
to
2^63-1 = 9,223,372,036,854,775,807
.
::lim.integer64()
bit64#> integer64
#> [1] -9223372036854775807<PHONE_NUMBER>854775807
Comparing the range to Presto’s BIGINT
range, it seems
that in theory the bit64::integer64
range is only
infinitesimally smaller than the BIGINT
range by 1 number
(again, the lower bound number). However, in practice, the range of
BIGINT
values that can be translated into
bit64::integer64
without precision loss is
much smaller.
The limitation comes from how the Presto
REST API communicates data with R. It uses the JSON format to encode
the query result data and sends it to R for RPresto
to
process.
JSON by default encodes integers as double
numbers, so
its precision
is limited to +/-(2^53-1) = +/-9,007,199,254,740,991
.
Any integers outside of this range will lose precision during the
translation.
Since the translation limitation is caused by the JSON format
encoding integers using double
, the same limitation applies
when BIGINT
values are mapped to numeric
types
in R.
| bigint = | R type | Range without precision loss | Range with possible precision loss |
|---|---|---|---|
| character | character | NA | NA |
| integer64 | bit64::integer64 | +/-9,007,199,254,740,991 | +/- 9,223,372,036,854,775,807 |
| numeric | numeric | +/-9,007,199,254,740,991 | [-9,223,372,036,854,775,808, 9,223,372,036,854,775,807] |
The table created by the create_primitive_types_table()
function has the values from the no-precision-lost range. Below we show
how different bigint
arguments change the output R
types.
bigint = "character"
dbGetQuery(
"SELECT bigint FROM presto_primitive_types", bigint = "character"
con,
)#> # A tibble: 3 × 1
#> bigint
#> <chr>
#> 1 -9007199254740991
#> 2<PHONE_NUMBER>740991
#> 3 <NA>
bigint = "integer64"
dbGetQuery(
"SELECT bigint FROM presto_primitive_types", bigint = "integer64"
con,
)#> # A tibble: 3 × 1
#> bigint
#> <int64>
#> 1 -9007199254740991
#> 2<PHONE_NUMBER>740991
#> 3 NA
bigint = "numeric"
dbGetQuery(
"SELECT bigint FROM presto_primitive_types", bigint = "numeric"
con,
)#> # A tibble: 3 × 1
#> bigint
#> <dbl>
#> 1 -9007199254740991
#> 2<PHONE_NUMBER>740991
#> 3 NA
If you attempt to translate integers outside of the no-precision-loss range, a warning message will show up.
dbGetQuery(
con,"
SELECT SIGN(bigint) * (ABS(bigint) + 1) AS bigint_precision_loss
FROM presto_primitive_types
",
bigint = "numeric"
)#> Warning in as.double.integer64(x): integer precision lost while converting to
#> double
#> # A tibble: 3 × 1
#> bigint_precision_loss
#> <dbl>
#> 1 -9007199254740992
#> 2<PHONE_NUMBER>740992
#> 3 NA
R only has one floating point data type, double
(its
class is numeric
). All floating numbers are stored in
double precision format (i.e., 64-bit). This matches Presto’s DOUBLE
type, so translation between Presto and R is straightforward.
(<- dbGetQuery(
df.floating_point
con,"SELECT real, double FROM presto_primitive_types"
)
)#> # A tibble: 3 × 2
#> real double
#> <dbl> <dbl>
#> 1 1 1
#> 2 2 2
#> 3 NA NA
We can verify that both floating point types are translated to
numeric
.
::map_chr(df.floating_point, class)
purrr#> real double
#> "numeric" "numeric"
Presto offers a DECIMAL
data type that has fixed
precision up to 38 digits. This means that it can be used to represent a
very large integer which is obviously outside of the precision limits
mentioned above. We can’t decide one precise R class to translate the
DECIMAL
data type into, so RPresto currently translates the
type into a string (i.e., character
) in R.
(<- dbGetQuery(
df.fixed_precision
con,"SELECT decimal FROM presto_primitive_types"
)
)#> # A tibble: 3 × 1
#> decimal
#> <chr>
#> 1 -9007199254740991.5
#> 2<PHONE_NUMBER>740991.5
#> 3 <NA>
VARCHAR
and CHAR
typesVARCHAR
and CHAR
data types in Presto are mapped to R’s character
type.
(<- dbGetQuery(
df.characters
con,"SELECT varchar, char FROM presto_primitive_types"
)
)#> # A tibble: 3 × 2
#> varchar char
#> <chr> <chr>
#> 1 abc a
#> 2 def b
#> 3 <NA> <NA>
We can verify the resulting R types to be character
.
::map_chr(df.characters, class)
purrr#> varchar char
#> "character" "character"
VARBINARY
Presto’s VARBINARY
type stores string data in raw bytes. It can be nicely mapped to R’s
raw
type.
(<- dbGetQuery(
df.bytes
con,"SELECT varbinary FROM presto_primitive_types"
)
)#> # A tibble: 3 × 1
#> varbinary
#> <list>
#> 1 <raw [3]>
#> 2 <raw [3]>
#> 3 <raw [0]>
We can verify all elements in the resulting column are of
raw
data type.
::map_chr(df.bytes$varbinary, class)
purrr#> [1] "raw" "raw" "raw"
We can also convert the bytes data back to the string values.
::mutate(df.bytes, string = purrr::map_chr(varbinary, rawToChar))
dplyr#> # A tibble: 3 × 2
#> varbinary string
#> <list> <chr>
#> 1 <raw [3]> "abc"
#> 2 <raw [3]> "def"
#> 3 <raw [0]> ""
In R, there are three types of date/time data that refer to an instant in time.
A date. Tibbles print this as
<date>
.
A time within a day. Tibbles print this as
<time>
.
A date-time is a date plus a time: it uniquely
identifies an instant in time (typically to the nearest second). Tibbles
print this as <dttm>
. Elsewhere in R these are called
POSIXct
.
We prefer to use the lubridate
package to handle date
and date-time objects. Time objects are not very commonly used and R
lacks a strong native support for it. In RPresto
, we uses
the hms
package to handle time objects.
DATE
The DATE
type is by far the most used date-and-time types. Note that a
DATE
value isn’t tied to any particular time zone, so it
isn’t associated with a unique point in time (i.e., seconds or
microseconds since epoch).
We use base R’s Date
S3 class to translate Presto’s
DATE
type.
(<- dbGetQuery(
df.date
con,"SELECT date FROM presto_primitive_types"
)
)#> # A tibble: 3 × 1
#> date
#> <date>
#> 1 2000-01-01
#> 2 2000-01-02
#> 3 NA
We can verify the R type of the column.
::map_chr(df.date, class)
purrr#> date
#> "Date"
TIMESTAMP
The POSIXct
type values, on the other hand, are
associated with a unique point in time. That is, they can be translated
to a unique numeric value that refers to the number of time units
(usually seconds, milliseconds, or microseconds) elapsed since epoch
(i.e., the beginning of time). This is why the mode of a
POSIXct
value in R is numeric and you can call the
as.integer()
function on it.
<- lubridate::ymd_hms("2000-01-01 01:02:03", tz = "America/New_York")
foo mode(foo)
#> [1] "numeric"
as.integer(foo)
#> [1] 946706523
In this case, the integer value refers to the number of seconds elapsed since 1970-01-01 00:00:00 in the UTC time zone.
Presto’s TIMESTAMP
and TIMESTAMP WITH TIME ZONE
types follow the same logic and thus can be mapped to the
POSIXct
type. To ensure consistency, RPresto
always translates the timestamp to match the Presto session’s
timezone.
You can check the session time zone by printing the
session.timezone
slot of the PrestoConnection
object.
@session.timezone
con#> [1] "Asia/Singapore"
Here we get the TIMESTAMP
and
TIMESTAMP WITH TIME ZONE
values from the table.
(<- dbGetQuery(
df.posixct
con,"SELECT timestamp, timestamp_with_tz FROM presto_primitive_types"
)
)#> # A tibble: 3 × 2
#> timestamp timestamp_with_tz
#> <dttm> <dttm>
#> 1 2000-01-01 01:02:03 2000-01-01 14:02:03
#> 2 2000-01-02 02:03:04 2000-01-02 15:03:04
#> 3 NA NA
We can check the R types of the two columns.
::map(df.posixct, class)
purrr#> $timestamp
#> [1] "POSIXct" "POSIXt"
#>
#> $timestamp_with_tz
#> [1] "POSIXct" "POSIXt"
We can also verify that the time zone attributes match the session time zone.
::map_chr(df.posixct$timestamp, lubridate::tz)
purrr#> [1] "Asia/Singapore" "Asia/Singapore" "Asia/Singapore"
::map_chr(df.posixct$timestamp_with_tz, lubridate::tz)
purrr#> [1] "Asia/Singapore" "Asia/Singapore" "Asia/Singapore"
INTERVAL
sPresto has two INTERVAL
types: INTERVAL YEAR TO MONTH
and INTERVAL DAY TO SECOND
.
We map both of them to lubridate::Duration-class
.
(<- dbGetQuery(
df.duration
con,"
SELECT
interval_year_to_month,
interval_day_to_second
FROM presto_primitive_types
"
)
)#> # A tibble: 3 × 2
#> interval_year_to_month interval_day_to_second
#> <Duration> <Duration>
#> 1 36817200s (~1.17 years) 187506.5s (~2.17 days)
#> 2 73634400s (~2.33 years) 284889.6s (~3.3 days)
#> 3 NA NA
::dbDisconnect(con)
DBI#> [1] TRUE


| DOSE: T+ 0:00 |
1 line |
insufflated |
Heroin |
(powder / crystals) |
| T+ 0:10 |
600 mg |
oral |
DXM |
(capsule) |
| T+ 0:00 |
1 line |
insufflated |
Heroin |
(powder / crystals) |
| T+ 0:00 |
1 bowl |
smoked |
Cannabis |
(plant material) |
I had heard that there is an extremely powerful synergy between dope and dex, so I had to find out for my self. I have barely seen any trip reports on the dex dope combo so here you go.
The night started at 10 PM when I started with a fat line of dope, about 10 min later I took 40 cough gels. I felt the dope coming on and soon I was pretty relaxed, after about an hour the dex was fully kicked in. As I lay in my bed I felt so high I the only thing that mattered was that I had dark side of the moon playing on my radio. Most of my focus was on a big peace sign poster in my room as it spun back and forth.  But after awhile I found my self bored with CEVs so I came out of what I'm sure looked like I was brain dead to realize that the ceiling was doing some pretty crazy shifting (a lot more than usual anyway) and noticed I was nodding a bit.
Although this was one hell of a buzz I wanted to get higher so I snorted another line of dope. After that I was feeling extremely nauseous so I decided to smoke a bowl of some pretty good green to combat the impending vomit. On the walk over to the 420 friendly part of the house I came unbelievably close to yakking, but I manage to hold it.  After finishing the bowl I was walking back to my room and as I was going down the stairs all of a sudden the dope kicked in and tumbled down the stairs.
As I lay on the ground my whole body felt as if it was getting an IV heroin rush, and everything was doing a weird spinning/rotating type thing. The whole time a famous line of floyds just couldn't get out my head 'Think u can tell heaven from hell, blue skies from pain, so u think u can tell,' I'm not sure why seemed so important to figure out, but what does make sence when your out your skull? After about 2 hours of just laying on the ground next to the stairs I realized that if I stayed where I was I would get busted and hence kicked out so I managed to somehow go the 30 feet to my room.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


I code because it challenges the field of science and creativity.
I travel because there is so much more to see on this Earth. I dragonboat because it connects me with driven individuals.
I live because I'm meant for something greater. So rage, rage against the dying of the light and do not go gentle into that good night.
TLDR
October 2015 • Developer • Google Chrome Extension • Cal Hacks
TLDR is a Chrome Extension that allows users to summarize any online article into more digestable form.
Includes features such summary length and articles themes. It currently has over 3000 users.
TLDR can be describe as "SparkNotes but for web articles!" It summarize any article by just (1) highlighting the text and (2) clicking "TLDR". Adjust the "Summary Size" settings to scale the length of the summaries to your liking. Perfect for those long news/social articles that no one has time to read!
The current version available on the Chrome store currently has over 3000 users. We are updating the application every so often with the most recent update adding a new feature that displays the themes discussed in the article.
My role in this project consisted of building the actual Google Chrome extension itself. This involved learning JavaScript on the spot and utilizing Content Scripts to interact with the web-page in order to pull the highlighted text into our alogorithm. I also helped develop the "popularity" algorithm that determines which sentences best summarizes the article. A quick description of the algorithm:
Parses the article into words and sentences.
Assigns "popularity" points to each occurance of a word and if that word occurs in the title.
Sentence "popularity" is then formed from the sum of those words' values.
Return a certain percanatage of the most highly ranked sentences in chronological order.
This Google Chrome Extension was built by my friends and I during Cal Hacks 2015. Released October 18, 2015.


It supports my belief that we’re all born with the yearning to create stuff.Cheers to the supportive father that didn’t minimize his efforts or force him to do what others expect of him.If you’re looking for a warm, heart-rending story for today, look no further than how Caine Monroy became the latest YouTube viral sensation, with more than 2.4 million views and counting since it was posted last week.
Thanks to a loyal customer, Nirvan Mullick (pictured with Monroy), the schoolboy now has a $150,000 scholarship fund and fans all over the world. And the story holds lessons for budding online entrepreneurs, too. How did all this happen?
Last year, Monroy was just another nine-year-old kid from East Los Angeles trying to figure out what to do with his summer, when one day he went to his dad’s auto parts store. The store was largely devoid of customers, as Dad does most of his business online. Caine asked if he could play with the cardboard boxes that the parts came in, and before you could say “Zoltar,” he had constructed his own cardboard replica of several arcade-style games, such as miniature pop-shot basketball and ring toss. He then proceeded to sit in the store and wait for customers to play at his arcade.
There weren’t many since foot traffic to the store was sparse. One day, Mullick happened to stop by and became entranced. He bought Caine’s premium “Fun Pass” and started coming back for more games. He thought about a way to market the arcade and put together a flash mob meet-up at the auto parts store, along with a short 10-minute documentary video. The rest is thanks to the Internet and a lot of people. You can watch the movie here:
In the video, you’ll note that Caine has implemented a sophisticated algorithm to ensure that his “Fun Pass” tickets are authentic, using the square root function of a pocket calculator. You’ve got to hand it to the kid. He has plenty of pluck.
Mullick started a scholarship fund, which has already topped $175,000 and is still growing. And that doesn’t include a matching grant from the Goldhirsh Foundation. Caine also has a Facebook fan page with 100,000 fans and a Twitter account with more than 6,000 followers. To give his arcade an element of authenticity, Caine made his own special logo T-shirt and is now selling it on the site. The movie even has a theme song that you can download from iTunes (and it’s another way to support the fund).
Plenty of media outlets have given Caine coverage, including today’s New York Times and dozens of TV stations. Forbes did a story earlier this week that details nine factors of Caine and Mullick’s success that other entrepreneurs should review. TJ McCue writes, “There is a certain allure in American entrepreneur circles for turning waste in[to] wonder, of finding a diamond in the rough, so to speak.” Another Forbes columnist thinks Caine will be a billionaire in 30 years. Certainly, his star is rising. Another meme is born.
But more than a meme is what startups can learn from this experience: Just because you only have one customer doesn’t mean you aren’t in business, and you should treat every customer as carefully as Caine did. The care he took in realizing his vision is extraordinary, especially for someone so young. And understanding the power of just one person to leverage various social media is also key.
So if you are an entrepreneur looking for inspiration today, check out the short video and read up on Caine’s Arcade. It should get you thinking on how you too can create something from your own passion, even if you are just nine years old.
As the lyrics to the theme song say, “It’s the best cardboard arcade that has ever been made.” And that is something to which we can all aspire.


Managing your finances is boring, hard work and often easy to ignore. Traditional banking and financial apps do not work for our generation.
Our mission is to make your money management just as fun, social and easy as using Instagram or Snapchat.
We're revolutionising the way you manage your money by creating an easy, social interface that helps you focus your saving efforts with the help of your friends. Squad puts you in control and arms you with the knowledge, drive and support to achieve your financial goals.
Squad grew out of Zinc, a new London-based company builder to create businesses to solve the world's biggest problems. Find out more about Zinc here.
CEO
Padraic is a data scientist and former insurance executive. He has 10 years of experience, during which he led large scale tech projects involving hundreds of employees.
CPO
Mihir studied software engineering at the University of Cambridge. He then worked in investment banking (M&A) focusing primarily on the FinTech space.


Stairway to Heaven
- Music
- About Us
- Contact Us
Top Songs
Somebody Told Me
Come as You Are
Trending Songs
| # | First | Last | Handle |
|---|---|---|---|
| 1 | Mark | Otto | @mdo |
| 2 | Jacob | Thornton | @fat |
| 3 | Larry | the Bird |
Stairway to Heaven
Somebody Told Me
Come as You Are
| # | First | Last | Handle |
|---|---|---|---|
| 1 | Mark | Otto | @mdo |
| 2 | Jacob | Thornton | @fat |
| 3 | Larry | the Bird |


This tests that layout overflow is computed correctly, even if the element is not near the top-left corner of its ancestors and has visual overflow. See crbug.com/254002.
PASS


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Mercedes-Benz V-class Elite launched at Rs 1.1 crore
by Soham ThakurNew top-spec V-class trim features updated styling and a new diesel engine.
Mercedes-Benz has launched a new top-spec variant of its V-class luxury people mover, dubbed Elite at Rs 1.1 crore (ex-showroom, India). Based on the V-class facelift that was introduced in international markets earlier this year, the Elite variant is available in the long-wheelbase (5,140mm) and six-seater form only.
Styling changes on the Elite include a new front bumper with a larger air dam and chrome highlights, tweaked LED headlights and a revised front grille. There are a total of seven colour options - Steel Blue, Selenite Grey, Graphite Grey Dark, Obsidian Black Metallic, Cavensite Blue Metallic, Rock Crystal White Metallic and Brilliant Silver Metallic - and three wheel designs (from 17-inchers to 18-inch alloys) that can be specced.
The interior remains largely unchanged, though it does get new dashboard trim, turbine-style AC vents from newer Mercedes models and a larger display for the infotainment system. Its second row of seats are power adjustable - they can be reclined up to 49 degrees - and come with ventilation and massage functions, along with an adjustable leg rest.
As for the features, the Elite gets Nappa leather upholstery (silk beige or black), dual-zone automatic climate control, ambient lighting, a folding and movable centre table at the rear, a 640W Burmester sound system that includes 15 speakers, a 360-degree parking camera and a rear window that opens for easier access to the boot. A panoramic sunroof is an optional extra. Standard safety kit includes six airbags, ABS with EBD, attention assist and active parking assist.
The Elite gets Mercedes’ newer BS6-compliant OM654 2.0-litre, four-cylinder, turbo-diesel engine that produces 163hp and 380Nm of torque. The figures are identical to the older OM651 engine that powers the existing Expression and Exclusive variants. The V-class Elite also gets a 9-speed torque-converter automatic gearbox in place of the 7-speed unit on the other two variants. Mercedes claims a 0-100kph time of 11 seconds.
Mercedes-Benz India launched the V-class here in January 2019 at Rs 68.40 lakh in two variants - these two trims are based on the pre-facelift model and will continue to be on sale. The entry-level Expression variant is based on the extra-long wheelbase (5,370mm) and is available as a seven-seater only. Meanwhile, the Exclusive has a shorter wheelbase (5,140mm) and is a six-seater only.
In terms of its rivals, the Mercedes-Benz V-class as a whole will compete with the upcoming Toyota Vellfire MPV.
Mercedes claims that sales of the V-class have exceeded expectation, with the brand having registered figures in the triple digits.
Also see:
2019 Mercedes-Benz V 220d review, test drive
Mercedes-Benz V-Class
Rs 80.85 lakh * On Road Price (New Delhi)


Class Definition: Chain
The Chain class is the main class that the program operates on. Each Chain object contains the data from one chain in the pdb file. The Chain class is primarily composed of Residue objects. The CreateChain method will group all the atoms into their respective residues.
Contents
classdef Chain < handle
%CHAIN Separates data into individual chains % Most pdb files have more than one chain and processing more than % needed wastes resources.
Properties section
This section defines the properties of the Chain class
properties (SetAccess = private)
ID
Name
residues
end
Methods section
Here the various functions that can operate on a Chain are defined
methods
Instantiation function
function chain = Chain(ID,NameOfChain) chain.ID=ID; chain.Name=NameOfChain; end
Input argument "ID" is undefined. Error in ==> Chain.Chain>Chain.Chain at 28 chain.ID=ID;
Groups atoms into their respective residues, by first taking a subset of a FullAtomModel containing only the chain of choice, and then using the Residues class to group into residues.
function CreateChain(chain,FAM,NameOfChain) str_chainIDs=[FAM.Model.chainID]; indices=strfind(str_chainIDs,NameOfChain); % Residues operates directly on FullAtomModel, so a new object fam_subset=FullAtomModel(); %is needed containing only the chain of choice. fam_subset.CutFAM(indices,FAM); chain.residues=Residues(strcat(chain.ID,'_',chain.Name)); % Group into residues chain.residues.GroupResidues(fam_subset); end
Supports the addition of chain objects
function addobj(newChain,chain1,chain2) newChain.residues=chain1.residues + chain2.residues; end
end
WDEavRCxrA00006000
end


I am Antonio Vantaggiato and this is my digital identity. It is also an experiment to learn about API's and tools to extract information dynamically from Web services.
My interests --beyond computer science-- include open connected education, Web course creation, WordPress, photography and more.


Biography
The complete CV can be downloaded in
PDF.
Education
| PhD | The Soochow University, Suzhou, Jiangsu, China | Sep. 2018--present |
| Master | The Soochow University, Suzhou, Jiangsu, China | Sep. 2016--Jul. 2018 |
| Bachelor | Hefei Normal University, Hefei, Anhui, China | Sep. 2012--Jul. 2016 |
Experience
| Visiting scholar | Penn State Univ. | Nov. 2019--Oct. 2020 |
| Instructor | Advanced Mathematics (Soochow Univ.) | Spring, 2019 |
| Visiting scholar | AFEPack application for demagnetization calculation (Macau Univ.) | 25th, April 2019 |
| Teaching Assistant | Numerical PDEs (Soochow Univ.) | Spring, 2018 |
| Teaching Assistant | Analytic geometry (Soochow Univ.) | Fall, 2018 |


You can upload a scanned copy or photo of the original. Each selected file must be smaller than 100MB.
1 of 3 files uploaded
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@govukSummaryList(SummaryList(
classes = "govuk-summary-list--long-key",
rows = Seq(
SummaryListRow(
key = Key(content = HtmlContent("""
declaration.jpgDeclaration
""")),
value = Value(content = HtmlContent(
govukTag(Tag(content = Text("uploaded"), classes = "govuk-tag--green"))
)),
actions = Some(Actions(
items = Seq(
ActionItem(
href = "#",
content = Text("Remove"),
visuallyHiddenText = Some("declaration.jpg")
)
)
))
)
)
))
@govukFileUpload(FileUpload(
id = "file-upload-1",
name = "file-upload-1",
label = Label(
content = Text("Receipt")
)
))
@govukFileUpload(FileUpload(
id = "file-upload-2",
name = "file-upload-2",
label = Label(
content = Text("Calculation worksheet")
)
))
@govukButton(Button(
content = Text("Continue")
))


cd directory-fortress-realm/
mvn clean install
Copyright 2003-2018, The Apache Software Foundation. All Rights Reserved.


Chevy and Carhartt Go to Work on 2021 Silverado HD Special Edition
by Mihir Maddireddy- Chevrolet has revealed a special edition of the 2021 Silverado 2500HD LTZ crew-cab pickup, decorated by clothing maker Carhartt.
- This is the second time a Chevy Silverado HD has had the Carhartt cosmetic treatment (the first was in 2016).
- It's not just for show; this 2021 Carhartt Silverado goes on sale in fall 2020.
Two things you'll never fail to find at a work site are trucks and Carhartt jackets. The durable-clothing manufacturer based in Detroit is an excellent fit as a partner for Chevrolet, and the result is this badass-looking and -performing special edition Silverado HD. The pairing was to be expected given the success of their first collaboration, which was a 2017 Silverado 2500HD. It was displayed as a concept at the 2016 SEMA show, where it received lots of positive attention.
This one, though, goes one better; it will be on sale next fall as a 2021 model.
The new Carhartt Special Edition Silverado is based on a 2021 Silverado 2500HD LTZ crew cab and comes with Carhartt-branded logos and badging inside and out. The truck is equipped with Chevy's Z71 Off-Road package, which tacks on twin tube-Rancho shocks, Hill Descent Control, and skid plates. The only exterior color choice is Mosaic Black Metallic, which is accented with pinstripe detailing in gold. Rounding out the exterior features are Carhartt badges on the doors and tailgate, 20-inch wheels shod in all-terrain rubber, black vents, body-color front and rear bumpers, tow hooks, a shiny chrome grille, and a soft rollup tonneau cover embossed with the Carhartt logo.
The interior gets its fair share of special-edition flair, including all-weather floor liners with the Carhartt badge and two-tone Jet Black and Carhartt Brown leather-appointed seats. The seats feature unique stitching and the Carhartt logo embroidered on the headrests.
Mechanically, the Silverado doesn't get any upgrades, and Chevrolet hasn't specified whether the Carhartt Special Edition Silverado will be equipped with the standard gasoline-powered 6.6-liter V-8 or the super beefy Duramax diesel V-8. Both powertrains are plenty capable, as we found out in the mountains of central Oregon.
Unlike the first special edition, this one will make it out of the concept stage and into the hands of consumers. It will be on display at the 2019 SEMA show in Las Vegas this week. By next year at this time, we'll be able to see this hard-working truck make its way to work sites around the country, where the Chevrolet and Carhartt names are put to the test day in and day out.
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Coronation Street SPOILERS: Jade 'loses it' in shocking scenes TONIGHT
She's after revenge!
by Helen FearJade Rowan will 'lose it' in shocking scenes to air in tonight's Coronation Street.
Earlier this week, we discovered that Hope and Ruby's nanny had been hiding the mother of all secrets since she arrived in Weatherfield...
Read more: Brooke Vincent returns to visit Coronation Street for first time since giving birth
As some viewers had long suspected, the shifty childminder is actually related to Corrie killer John Stape - she's his daughter.
And it seems Jade has revenge on her mind, appearing to blame Fiz for her dad's death.
Jade will snap and lose her temper on Friday (November 29).
Read more: Coronation Street fans confused by Jade's age and say John Stape twist 'makes no sense'
The single white female will be seen losing control after being told that Fiz and Tyrone no longer need her services.
Screaming with rage and trashing things, Jade becomes distraught that her plans are falling apart and fans will see her snap for the first time - exposing her unhinged side.
The scenes follow a dangerous fire, which Tyrone tried to blame Hope for - but fans think "twisted" Jade was responsible.
 We've seen her start to lose control, but this episode is the one where she fully loses it - I can't wait for it to play out.
"Every single episode, we're trying to make it different. We want to confuse viewers about what her end game is."
She teased: "There's so much more for her to come. There are so many episodes where she shows vulnerability. But is she being sincere or is she still lying?"
She continued: "You can't trust her and she is dangerous, but there is vulnerability.
"I don't know where it's going. I honestly live for getting the scripts. What's she doing this week!? I wish I could tell you!"
Reports tell us that Jade's vengeance will take a disturbing turn, when she reports Fiz and Tyrone to social services.
We've already seen her painting bruises on Hope's skin, but in upcoming scenes Fiz and Tyrone have their children taken away from them and put into care.
Do you have any sympathy for Jade? Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know what you think!


I've read and written a lot of feedback in the past 9 weeks. Personally, I find feedback most useful when there's a clear cause and effect stated: "You did this and this happened as a result." I don't really care for the sugarcoated comments because they don't usually address a specific action. Because the feedback we got was a one-way exchange, I didn't really find it that useful. I like asking questions to better understand what others think, so not being able to respond to the feedback made it really hit-or-miss depending on how specific the feedback was. Feedback doesn't always have to be negative, but as long as it's actionable, the person receiving it can take something away from it. That isn't to say that everyone's feedback is always right. They interpret your actions based on their perception and life experiences, so it's up to you to determine the reliability of your feedback.
My thinking style is Abstract Sequential, which means I love the world of theory and abstract thought. Here's a link I found that describes Abstract Sequential thinkers, and I have to say that a lot of it does describe me. In terms of how it would benefit me at DBC, it mentions that my environmental preference would be somewhere mentally stimulating, and that's the reason I applied to DBC to begin with. I find that I learn better in these types of environments. I'm also a logical and rational thinker, so I think that would be beneficial for some more complex coding challenges. It also says that my focus of attention is on knowledge, facts, and documentation, which is how I learn best when I don't understand something.
My biggest struggle in Phase 0 has been my reluctance to change my methodology in doing some things, and it may be related to the way I think. That link says that when it comes to change, I am notoriously indecisive, cross-checking everything, caught up in deliberation; you are a fence straddler. I definitely should be open and broaden my horizons since there are so many ways of doing the same thing when it comes to code.


Attleboro Police seeking help in finding missing teen
by Manoella MacedoATTLEBORO, Mass. - Police in Attleboro are asking for the public's help in finding a missing 17-year-old boy.
According to officials, Courtney Pinkins Jr. was last seen going to school in Attleboro on Wednesday morning.
Pinkins has ties to Malden and Boston, but it is unclear where he could have gone.

Anyone with any information on this missing person is asked to contact Attleboro Police at<PHONE_NUMBER>.


Announces the average climb rate in regular intervals.
When piloting a glider it is essential to know not only the current climb rate, but also the average over a certain duration.
The app features two basic modes:
Select a variometer or an altitude sensor as the input.
Define a switch to turn the speech output on and off. When no switch is selected the output is always active.
Set the interall (in seconds) at which the average climb rate is calculated and announced.


s
umen
Hello, I am
Soumen Pasari.
A Software Developer.
Know more
Welcome
Projects
About
Work
Contact me


A Biochemical Engineer with research experience turned Data Scientist.
A Biochemical Engineer with research experience turned Data Scientist. Experienced in operational research, time series analysis, deep learning, data visualisation, and backend development.
WorldQuant is a quantitative asset management firm with more than 800 employees spread across 28 offices in 17 countries focused on
developing high-quality financial strategies across a variety of asset classes in global markets, utilizing a proprietary research
platform and risk management process.
Time series analysis, nowcasting, alpha development.
Building tools for evaluating alpha performance and risk.
Processing, transforming, analysing large alternative datasets using Spark.
Full stack machine learning model development (Keras/TensorFlow, Flask, Celery, Redis, Docker, Kubernetes)
Aiden is virtual NLP-powered assistant that monitors mobile app campaigns, generates and implements approved recommendations, and tracks their impact.
Built multi-task deep learning-based ad spend forecasting models to answer questions such as “What will be the total number of impressions, link clicks, and app installs next week if I spend $X on ads ABC targeting Y audience in Z location?”.
Using Flask, Python/R, and Docker, developed and deployed a REST API app to detect anomalies in advertising time series data.
Developed a time-series anomaly detection algorithm.
Backend development, scheduled data download and preprocessing, and model deployment (Python, R, Docker, Flask-based REST API microservices, Celery, Redis, PostgreSQL).
Picasso Labs is recognised as one of Unilever Foundry’s most ambitious and innovative start-ups of the past 5 years.
It helps brands like Unilever, Louis Vuitton, Four Seasons, Tesco, AB InBev and Samsung understand the visual preferences of their audience,
reduce guesswork, stand out in their industry and improve marketing performance.
Using Keras and OpenCV, developed a convolutional neural network (CNN)-based model with additional input branches for HSV color histograms and entity embeddings of date, time, and image tags for recommending images to improve CTR or engagement on social media.
Re-used the model above to create a content-based image retrieval (CBIR) engine using transfer learning, HOG, and HSV features as indices.
Applied non-parametric statistical tests to determine best performing image categories.
Using Keras and OpenCV, built a custom facial expressions recognition model and applied it on over 5000 web-scraped images from US online media to investigate “visual bias”.
(please see 1 and 2).
Supervised research projects and taught MSc and MEng students Discrete-Event Simulation, Mathematical Programming (LP and MILP), Genetic Algorithms, and Multi-Objective Optimisation.
Created fluid-flow models of microfluidic chips for a novel single-cell screening and analysis system.
Performed multi-variate data analysis on mass spectrometry data to improve the expression of virus-like particles from Pichia pastoris cells for a universal influenza vaccine project.
Thesis title: “Biopharmaceutical Capacity Planning using a Flexible Genetic Algorithm Approach”
Sponsored by Eli Lilly & Co. and supervised by Prof. Suzanne S. Farid and Prof. Lazaros Papageorgiou.
Using Python, C++, and CUDA, developed a cross-platform genetic algorithm and Monte Carlo simulation-based tool for continuous-time multi-objective planning and scheduling of biopharmaceutical facilities with uncertain product demand.
Accomplishments:
Publications and talks:
Received Jacobs Engineering Design Project Prize for Outstanding Team Effort for a Year 3 Design Project. The project included aspects of project scheduling, economic appraisal, and sensitivity analysis to predict the impact of uncertainties.
Deep Q learning with a memory buffer of 4-frame states is used to train an agent to play Atari Space Invaders.
View ProjectEvolutionary programming-based Python library for multi-objective capacity planning and scheduling of multi-product biopharmaceutical facilities.
View ProjectAI programs developed using Genetic Programming to control artificial snake and ant.
View ProjectReal-time end-to-end CNN-based detection of facial landmarks in video streams.
View ProjectFacial expressions recognition using facial landmarks and a Support Vector Machine (SVM).
View Project


{% raw %}
This Capability Statement defines the expected capabilities of a PACIO Cognitive Status FHIR server conforming to the PACIO Cognitive Status Implementation Guide.


| 1 |
Biao_2016 |
Accurate prediction of human essential genes using only nucleotide composition and association information |
Feng-Biao Biao; Chuan Dong; Hong-Li Hua; Shuo Liu; Hao Luo; Hong-Wan Zhang; Yan-Ting Jin; Kai-Yue Zhang |
2016 |
2016-10-28 |
BioRxiv |
N |
|
|
10.1101/084129 |
w49x7kca |
0.936510 |
Chang_2011, Lee_C_2017, Qi_Z_2018, Saw_A_2019, Dai_Q_2012 |
Guo_F_2017, Xiao_2017 |
| 2 |
Guo_F_2017 |
Accurate prediction of human essential genes using only nucleotide composition and association information |
Guo, Feng-Biao; Dong, Chuan; Hua, Hong-Li; Liu, Shuo; Luo, Hao; Zhang, Hong-Wan; Jin, Yan-Ting; Zhang, Kai-Yue |
2017 |
2017-06-15 |
PMC |
N |
PMC7110051 |
28158612.0 |
10.1093/bioinformatics/btx055 |
vj9tv3or |
0.921651 |
Chang_2011, Lee_C_2017, Qi_Z_2018, Saw_A_2019, Dai_Q_2012 |
Biao_2016, Xiao_2017, Nakai_1992, Suresh_2015 |
| 3 |
Wu_G_2007 |
Prediction of mutations engineered by randomness in H5N1 hemagglutinins of influenza A virus |
Wu, G.; Yan, S. |
2007 |
2007-11-02 |
PMC |
N |
PMC7088403 |
17973072.0 |
10.1007/s00726-007-0602-4 |
rx0os4ke |
0.912639 |
Qi_Z_2018, Chang_2011, Cheng_2012 |
Wu_G_2007 |
| 4 |
Cai_C_2006 |
Prediction of Transmembrane Proteins from Their Primary Sequence by Support Vector Machine Approach |
Cai, C. Z.; Yuan, Q. F.; Xiao, H. G.; Liu, X. H.; Han, L. Y.; Chen, Y. Z. |
2006 |
2006-01-01 |
PMC |
N |
PMC7121931 |
|
10.1007/11816102_56 |
rktwtqtq |
0.858167 |
Saw_A_2019, Lee_C_2017, Qi_Z_2018, Chang_2011 |
Lee_B_2009, Han_L_2005 |
| 5 |
Zhao_2012 |
Using Support Vector Machine and Evolutionary Profiles to Predict Antifreeze Protein Sequences |
Zhao, Xiaowei; Ma, Zhiqiang; Yin, Minghao |
2012 |
2012-02-17 |
COMM-USE |
N |
PMC3292016 |
22408447.0 |
10.3390/ijms13022196 |
7vfo98ho |
0.836657 |
Saw_A_2019, Qi_Z_2018, Lee_C_2017, Dai_Q_2012, Chang_2011 |
Cai_C_2006, Xu_Y_2015 |
| 6 |
Muthukrishnan_2014 |
Support vector machine (SVM) based multiclass prediction with basic statistical analysis of plasminogen activators |
Muthukrishnan, Selvaraj; Puri, Munish; Lefevre, Christophe |
2014 |
2014-01-27 |
COMM-USE |
N |
PMC3924408 |
24468032.0 |
10.1186/1756-0500-7-63 |
8c75hp7r |
0.835704 |
Qi_Z_2018, Saw_A_2019, Chang_2011, Dai_Q_2012, Lee_C_2017 |
Cai_C_2006 |
| 7 |
Xiao_2013 |
iGPCR-Drug: A Web Server for Predicting Interaction between GPCRs and Drugs in Cellular Networking |
Xiao, Xuan; Min, Jian-Liang; Wang, Pu; Chou, Kuo-Chen |
2013 |
2013-08-27 |
COMM-USE |
N |
PMC3754978 |
24015221.0 |
10.1371/journal.pone.0072234 |
kt6wqvam |
0.814814 |
Lee_C_2017, Qi_Z_2018, Chang_2011, Liou_2013 |
Fan_Y_2014, Min_J_2013 |
| 8 |
Yan_S_2009 |
Mutation patterns in human α-galactosidase A |
Yan, Shaomin; Wu, Guang |
2009 |
2009-05-26 |
PMC |
N |
PMC7088632 |
19468850.0 |
10.1007/s11030-009-9158-4 |
7floluv1 |
0.792340 |
Chang_2011, Qi_Z_2018 |
|
| 9 |
Wu_G_2007 |
Prediction of mutations engineered by randomness in H5N1 neuraminidases from influenza A virus |
Wu, G.; Yan, S. |
2007 |
2007-08-28 |
PMC |
N |
PMC7088166 |
17721674.0 |
10.1007/s00726-007-0579-z |
wocuomb1 |
0.786540 |
Chang_2011, Qi_Z_2018, Cheng_2012 |
Wu_G_2007 |
| 10 |
Shen_2018 |
RPiRLS: Quantitative Predictions of RNA Interacting with Any Protein of Known Sequence |
Shen, Wen-Jun; Cui, Wenjuan; Chen, Danze; Zhang, Jieming; Xu, Jianzhen |
2018 |
2018-02-28 |
COMM-USE |
N |
PMC6017498 |
29495575.0 |
10.3390/molecules23030540 |
6oca1mrm |
0.770435 |
Saw_A_2019, Qi_Z_2018, Chang_2011, Dai_Q_2012, Lee_C_2017 |
Muppirala_2011, Suresh_2015 |
| 11 |
He_Z_2010 |
Predicting Drug-Target Interaction Networks Based on Functional Groups and Biological Features |
He, Zhisong; Zhang, Jian; Shi, Xiao-He; Hu, Le-Le; Kong, Xiangyin; Cai, Yu-Dong; Chou, Kuo-Chen |
2010 |
2010-03-11 |
COMM-USE |
N |
PMC2836373 |
20300175.0 |
10.1371/journal.pone.0009603 |
ni6iyzdn |
0.761389 |
Saw_A_2019, Qi_Z_2018, Chang_2011, Lee_C_2017, Dai_Q_2012 |
Wang_2018, Zhou_2010 |
| 12 |
Xu_Y_2013 |
iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins |
Xu, Yan; Shao, Xiao-Jian; Wu, Ling-Yun; Deng, Nai-Yang; Chou, Kuo-Chen |
2013 |
2013-10-03 |
COMM-USE |
N |
PMC3792191 |
24109555.0 |
10.7717/peerj.171 |
3fwd4guk |
0.759284 |
Chang_2011, Plewczyński_2008, Kirillova_2009 |
|
| 13 |
Lee_B_2009 |
Identification of protein functions using a machine-learning approach based on sequence-derived properties |
Lee, Bum Ju; Shin, Moon Sun; Oh, Young Joon; Oh, Hae Seok; Ryu, Keun Ho |
2009 |
2009-08-09 |
COMM-USE |
N |
PMC2731080 |
19664241.0 |
10.1186/1477-5956-7-27 |
85fqseal |
0.754843 |
Chang_2011, Qi_Z_2018, Saw_A_2019, Dai_Q_2012, Lee_C_2017 |
Cai_C_2006, Han_L_2005 |
| 14 |
Muppirala_2011 |
Predicting RNA-Protein Interactions Using Only Sequence Information |
Muppirala, Usha K; Honavar, Vasant G; Dobbs, Drena |
2011 |
2011-12-22 |
COMM-USE |
N |
PMC3322362 |
22192482.0 |
10.1186/1471-2105-12-489 |
8k7d1riv |
0.745388 |
Qi_Z_2018, Chang_2011, Saw_A_2019, Lee_C_2017, Dai_Q_2012 |
Suresh_2015, Shen_2018 |
| 15 |
Yan_C_2019 |
IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning |
Yan, Cheng; Duan, Guihua; Wu, Fang-Xiang; Wang, Jianxin |
2019 |
2019-12-27 |
COMM-USE |
N |
PMC6933616 |
31881820.0 |
10.1186/s12859-019-3278-3 |
ch4kere3 |
0.732932 |
Saw_A_2019, Qi_Z_2018, Chang_2011, Lee_C_2017, Feng_2010 |
Mock_2019, Cho_M_2019 |
| 16 |
Han_L_2005 |
Prediction of functional class of novel viral proteins by a statistical learning method irrespective of sequence similarity |
Han, L.Y.; Cai, C.Z.; Ji, Z.L.; Chen, Y.Z. |
2005 |
2005-01-05 |
PMC |
N |
PMC7111859 |
15582660.0 |
10.1016/j.virol.2004.10.020 |
88l9bq4i |
0.723577 |
Lee_C_2017, Chang_2011, Qi_Z_2018, Saw_A_2019 |
Lee_B_2009 |
| 17 |
Fan_Y_2014 |
iNR-Drug: Predicting the Interaction of Drugs with Nuclear Receptors in Cellular Networking |
Fan, Yue-Nong; Xiao, Xuan; Min, Jian-Liang; Chou, Kuo-Chen |
2014 |
2014-03-19 |
COMM-USE |
N |
PMC3975431 |
24651462.0 |
10.3390/ijms15034915 |
qdld7hdc |
0.698522 |
Lee_C_2017, Kirillova_2009, Qi_Z_2018, Chang_2011 |
Xiao_2013 |
| 18 |
Min_J_2013 |
iEzy-Drug: A Web Server for Identifying the Interaction between Enzymes and Drugs in Cellular Networking |
Min, Jian-Liang; Xiao, Xuan; Chou, Kuo-Chen |
2013 |
2013-11-26 |
COMM-USE |
N |
PMC3858977 |
24371828.0 |
10.1155/2013/701317 |
jpj1czhg |
0.693429 |
Qi_Z_2018, Lee_C_2017, Chang_2011, Liou_2013, Saw_A_2019 |
|
| 19 |
Suresh_2015 |
RPI-Pred: predicting ncRNA-protein interaction using sequence and structural information |
Suresh, V.; Liu, Liang; Adjeroh, Donald; Zhou, Xiaobo |
2015 |
2015-02-18 |
COMM-USE |
N |
PMC4330382 |
25609700.0 |
10.1093/nar/gkv020 |
bhtl73z9 |
0.687048 |
Qi_Z_2018, Chang_2011 |
Muppirala_2011, Shen_2018 |
| 20 |
Scott_2011 |
NoD: a Nucleolar localization sequence detector for eukaryotic and viral proteins |
Scott, Michelle S; Troshin, Peter V; Barton, Geoffrey J |
2011 |
2011-08-03 |
COMM-USE |
N |
PMC3166288 |
21812952.0 |
10.1186/1471-2105-12-317 |
59yvbupx |
0.675233 |
Lee_C_2017, Chang_2011, Qi_Z_2018, Wang_2006 |
|
| 21 |
Song_2018 |
iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites |
Song, Jiangning; Wang, Yanan; Li, Fuyi; Akutsu, Tatsuya; Rawlings, Neil D; Webb, Geoffrey I; Chou, Kuo-Chen |
2018 |
2018-04-19 |
COMM-USE |
N |
PMC6556904 |
29897410.0 |
10.1093/bib/bby028 |
78vjzrpx |
0.670094 |
Cho_Y_2005, Chang_2011, Qi_Z_2018, Dai_Q_2012 |
Choo_2009 |
| 22 |
Lockwood_2011 |
Neighborhood Properties Are Important Determinants of Temperature Sensitive Mutations |
Lockwood, Svetlana; Krishnamoorthy, Bala; Ye, Ping |
2011 |
2011-12-02 |
None |
N |
PMC3229608 |
22164302.0 |
10.1371/journal.pone.0028507 |
v1p4ut66 |
0.626946 |
Chang_2011, Qi_Z_2018, Saw_A_2019, Dai_Q_2012 |
|
| 23 |
Wang_2018 |
Prediction of RNA-protein interactions using conjoint triad feature and chaos game representation |
Wang, Hongchu; Wu, Pengfei |
2018 |
2018-08-17 |
COMM-USE |
N |
PMC6984769 |
30117758.0 |
10.1080/21655979.2018.1470721 |
ldze0a22 |
0.613570 |
Lee_C_2017, Qi_Z_2018, Chang_2011, Saw_A_2019, Dai_Q_2012 |
Muppirala_2011, Suresh_2015, Shen_2018, Xiao_2017 |
| 24 |
Milanetti_2020 |
In-Silico evidence for two receptors based strategy of SARS-CoV-2 |
Edoardo Milanetti; Mattia Miotto; Lorenzo Di Rienzo; Michele Monti; Giorgio Gosti; Giancarlo Ruocco |
2020 |
2020-03-27 |
BioRxiv |
Y |
|
|
10.1101/2<IP_ADDRESS>197 |
ob37jivi |
0.582781 |
Qi_Z_2018, Chang_2011, Dai_Q_2012, Saw_A_2019 |
|
| 25 |
Yang_2007 |
Predicting Palmitoylation Sites Using a Regularised Bio-basis Function Neural Network |
Yang, Zheng Rong |
2007 |
2007-01-01 |
PMC |
N |
PMC7120480 |
|
10.1007/978-3-540-72031-7_37 |
7qriyc1a |
0.573232 |
Saw_A_2019, Dai_Q_2012, Qi_Z_2018, Chang_2011, Feng_2010 |
van_Dijk_2008, Zhang_2018 |
| 26 |
Mu_Z_2019 |
DCGR: feature extractions from protein sequences based on CGR via remodeling multiple information |
Mu, Zengchao; Yu, Ting; Qi, Enfeng; Liu, Juntao; Li, Guojun |
2019 |
2019-06-20 |
COMM-USE |
N |
PMC6587251 |
31221087.0 |
10.1186/s12859-019-2943-x |
ut9z9eo7 |
0.565937 |
Qi_Z_2018, Saw_A_2019, Dai_Q_2012, Chang_2011, Lee_C_2017 |
Li_C_2018, Lee_B_2009, Jia_J_2016 |
| 27 |
Xiao_2005 |
Using cellular automata images and pseudo amino acid composition to predict protein subcellular location |
Xiao, X.; Shao, S.; Ding, Y.; Huang, Z.; Chou, K.-C. |
2005 |
2005-07-28 |
PMC |
N |
PMC7087770 |
16044193.0 |
10.1007/s00726-005-0225-6 |
fsh3gsvd |
0.563120 |
Qi_Z_2018, Lee_C_2017, Chang_2011, Liou_2013, Kirillova_2009 |
Nakai_1992, Choo_2009, van_Dijk_2008, Li_C_2018 |
| 28 |
Li_C_2018 |
Protein Sequence Comparison and DNA-binding Protein Identification with Generalized PseAAC and Graphical Representation |
Li, Chun; Zhao, Jialing; Wang, Changzhong; Yao, Yuhua |
2018 |
2018-02-23 |
NONCOMM |
N |
PMC5930480 |
29380690.0 |
10.2174/1386207321666180130100838 |
u1imic5l |
0.554277 |
Saw_A_2019, Qi_Z_2018, Chang_2011, Dai_Q_2012, Lee_C_2017 |
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Jia_J_2016 |
iPPBS-Opt: A Sequence-Based Ensemble Classifier for Identifying Protein-Protein Binding Sites by Optimizing Imbalanced Training Datasets |
Jia, Jianhua; Liu, Zi; Xiao, Xuan; Liu, Bingxiang; Chou, Kuo-Chen |
2016 |
2016-01-19 |
COMM-USE |
N |
PMC6274413 |
26797600.0 |
10.3390/molecules21010095 |
c3ewuebx |
0.502995 |
Qi_Z_2018, Chang_2011 |
Xiao_2017, Zhang_2018 |
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Shulman-Peleg_2004 |
Recognition of Functional Sites in Protein Structures |
Shulman-Peleg, Alexandra; Nussinov, Ruth; Wolfson, Haim J. |
2004 |
2004-06-04 |
PMC |
N |
PMC7126412 |
15147845.0 |
10.1016/j.jmb.2004.04.012 |
66qoykl1 |
0.495980 |
Chang_2011, Qi_Z_2018 |
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Plewczyński_2008 |
The interactome: Predicting the protein-protein interactions in cells |
Plewczyński, Dariusz; Ginalski, Krzysztof |
2008 |
2008-10-06 |
PMC |
N |
PMC6275871 |
18839074.0 |
10.2478/s11658-008-0024-7 |
0ec2xunt |
0.492799 |
Qi_Z_2018, Chang_2011 |
van_Dijk_2008 |
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Xiao_2005 |
Using cellular automata to generate image representation for biological sequences |
Xiao, X.; Shao, S.; Ding, Y.; Huang, Z.; Chen, X.; Chou, K.-C. |
2005 |
2005-02-10 |
PMC |
N |
PMC7088382 |
15700108.0 |
10.1007/s00726-004-0154-9 |
54ioyzbc |
0.485631 |
Qi_Z_2018, Chang_2011, Montgomery_2004, Lee_C_2017, Liou_2013 |
Xiao_2005, Song_2005 |
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Al-Ssulami_2020 |
CodSeqGen: A tool for generating synonymous coding sequences with desired GC-contents |
Al-Ssulami, Abdulrakeeb M.; Azmi, Aqil M.; Hussain, Muhammad |
2020 |
2020-01-31 |
PMC |
N |
PMC7127556 |
30738198.0 |
10.1016/j.ygeno.2019.02.002 |
64zqe4cz |
0.473835 |
Chang_2011 |
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De_Ferrari_2014 |
From sequence to enzyme mechanism using multi-label machine learning |
De Ferrari, Luna; Mitchell, John BO |
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2014-05-19 |
COMM-USE |
N |
PMC4229970 |
24885296.0 |
10.1186/1471-2105-15-150 |
yjrs7c38 |
0.470770 |
Wang_2006, Qi_Z_2018, Saw_A_2019 |
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Xiao_2017 |
Prediction of lncRNA-protein interactions using HeteSim scores based on heterogeneous networks |
Xiao, Yun; Zhang, Jingpu; Deng, Lei |
2017 |
2017-06-16 |
COMM-USE |
N |
PMC5473862 |
28623317.0 |
10.1038/s41598-017-03986-1 |
qyd6qyjf |
0.458325 |
Chang_2011, Saw_A_2019, Qi_Z_2018, Dai_Q_2012, Sen_D_2018 |
Suresh_2015 |
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Cho_Y_2005 |
Rule Generation Using NN and GA for SARS-CoV Cleavage Site Prediction |
Cho, Yeon-Jin; Kim, Hyeoncheol |
2005 |
2005-01-01 |
PMC |
N |
PMC7122303 |
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10.1007/11553939_111 |
my2l85bn |
0.458313 |
Cho_Y_2005, Chang_2011, Liou_2013 |
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Chou_2011 |
Some remarks on protein attribute prediction and pseudo amino acid composition |
Chou, Kuo-Chen |
2011 |
2011-03-21 |
PMC |
N |
PMC7125570 |
21168420.0 |
10.1016/j.jtbi.2010.12.024 |
2scgsmsc |
0.434131 |
Lee_C_2017, Qi_Z_2018, Chang_2011, Sen_D_2018 |
Choo_2009, Jia_J_2016, Xiao_2005, De_Ferrari_2014 |
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Cho_Y_2005 |
Cleavage Site Analysis Using Rule Extraction from Neural Networks |
Cho, Yeun-Jin; Kim, Hyeoncheol |
2005 |
2005-01-01 |
PMC |
N |
PMC7114972 |
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10.1007/11539087_132 |
gc9hevy5 |
0.430876 |
Cho_Y_2005, Qi_Z_2018, Liou_2013 |
Cho_Y_2005 |
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Reddy_2007 |
Positional clustering improves computational binding site detection and identifies novel cis-regulatory sites in mammalian GABA(A) receptor subunit genes |
Reddy, Timothy E.; Shakhnovich, Boris E.; Roberts, Daniel S.; Russek, Shelley J.; DeLisi, Charles |
2007 |
2007-01-03 |
NONCOMM |
N |
PMC1807961 |
17204484.0 |
10.1093/nar/gkl1062 |
m56agj4z |
0.420210 |
Chang_2011, Qi_Z_2018, Dai_Q_2012 |
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Alguwaizani_2018 |
Predicting Interactions between Virus and Host Proteins Using Repeat Patterns and Composition of Amino Acids |
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2018 |
2018-05-09 |
COMM-USE |
N |
PMC5966669 |
29854357.0 |
10.1155/2018/1391265 |
0dxrai3j |
0.408352 |
Lee_C_2017, Chang_2011, Sen_D_2018 |
Zhou_2018 |
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Hung_2006 |
Alignment using genetic programming with causal trees for identification of protein functions |
Hung, Chun-Min; Huang, Yueh-Min; Chang, Ming-Shi |
2006 |
2006-09-01 |
PMC |
N |
PMC7117053 |
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10.1016/j.na.2005.09.048 |
6l688krc |
0.401178 |
Chang_2011, Qi_Z_2018, Saw_A_2019, Dai_Q_2012 |
Lee_B_2009, Li_C_2018 |
| 42 |
Kliger_2008 |
Predicting proteolytic sites in extracellular proteins: only halfway there |
Kliger, Yossef; Gofer, Eyal; Wool, Assaf; Toporik, Amir; Apatoff, Avihay; Olshansky, Moshe |
2008 |
2008-04-15 |
NONCOMM |
N |
PMC7109841 |
18321887.0 |
10.1093/bioinformatics/btn084 |
ol2du7ph |
0.399385 |
Lee_C_2017 |
Choo_2009 |
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Kumar_2017 |
Prediction of endoplasmic reticulum resident proteins using fragmented amino acid composition and support vector machine |
Kumar, Ravindra; Kumari, Bandana; Kumar, Manish |
2017 |
2017-09-04 |
COMM-USE |
N |
PMC5588793 |
28890846.0 |
10.7717/peerj.3561 |
t54zftal |
0.392767 |
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Xie_X_2012 |
Protein sequence analysis based on hydropathy profile of amino acids |
Xie, Xiao-li; Zheng, Li-fei; Yu, Ying; Liang, Li-ping; Guo, Man-cai; Song, John; Yuan, Zhi-fa |
2012 |
2012-01-27 |
PMC |
N |
PMC3274743 |
22302429.0 |
10.1631/jzus.b1100052 |
g1ob16b9 |
0.388857 |
Saw_A_2019, Qi_Z_2018, Chang_2011, Dai_Q_2012 |
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Zhang_2007 |
Estimating residue evolutionary conservation by introducing von Neumann entropy and a novel gap-treating approach |
Zhang, S.-W.; Zhang, Y.-L.; Pan, Q.; Cheng, Y.-M.; Chou, K.-C. |
2007 |
2007-08-21 |
PMC |
N |
PMC7088136 |
17710364.0 |
10.1007/s00726-007-0586-0 |
7bh8222u |
0.381550 |
Qi_Z_2018, Chang_2011, Dai_Q_2012, Feng_2010 |
Pessia_2015, Altschul_1991 |
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Hu_L_2011 |
Predicting Biological Functions of Compounds Based on Chemical-Chemical Interactions |
Hu, Le-Le; Chen, Chen; Huang, Tao; Cai, Yu-Dong; Chou, Kuo-Chen |
2011 |
2011-12-29 |
COMM-USE |
N |
PMC3248422 |
22220213.0 |
10.1371/journal.pone.0029491 |
0mn1gbll |
0.375421 |
Qi_Z_2018, Chang_2011, Lee_C_2017, Saw_A_2019 |
Wang_2018 |
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Nakai_1992 |
A knowledge base for predicting protein localization sites in eukaryotic cells |
Nakai, Kenta; Kanehisa, Minoru |
1992 |
1992-12-31 |
PMC |
N |
PMC7134799 |
1478671.0 |
10.1016/s0888-7543(05)80111-9 |
98oo0bkl |
0.364921 |
Qi_Z_2018, Chang_2011, Saw_A_2019, Lee_C_2017, Dai_Q_2012 |
van_Dijk_2008, Lee_B_2009, Choo_2009, Scott_2011 |
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Shen_2006 |
Probabilistic analysis of the frequencies of amino acid pairs within characterized protein sequences |
Shen, Shiyi; Kai, Bo; Ruan, Jishou; Torin Huzil, J.; Carpenter, Eric; Tuszynski, Jack A. |
2006 |
2006-10-15 |
PMC |
N |
PMC7127678 |
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10.1016/j.physa.2006.03.004 |
hjo78o1q |
0.358200 |
Chang_2011, Saw_A_2019, Lee_C_2017, Qi_Z_2018 |
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Dinkel_2011 |
ELM—the database of eukaryotic linear motifs |
Dinkel, Holger; Michael, Sushama; Weatheritt, Robert J.; Davey, Norman E.; Van Roey, Kim; Altenberg, Brigitte; Toedt, Grischa; Uyar, Bora; Seiler, Markus; Budd, Aidan; Jödicke, Lisa; Dammert, Marcel A.; Schroeter, Christian; Hammer, Maria; Schmidt, Tobias; Jehl, Peter; McGuigan, Caroline; Dymecka, Magdalena; Chica, Claudia; Luck, Katja; Via, Allegra; Chatr-aryamontri, Andrew; Haslam, Niall; Grebnev, Gleb; Edwards, Richard J.; Steinmetz, Michel O.; Meiselbach, Heike; Diella, Francesca; Gibson, Toby J. |
2011 |
2011-11-21 |
NONCOMM |
N |
PMC3245074 |
22110040.0 |
10.1093/nar/gkr1064 |
ppzxvykb |
0.338062 |
Wang_2006 |
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Choo_2009 |
A comprehensive assessment of N-terminal signal peptides prediction methods |
Choo, Khar Heng; Tan, Tin Wee; Ranganathan, Shoba |
2009 |
2009-12-03 |
COMM-USE |
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PMC2788353 |
19958512.0 |
10.1186/1471-2105-10-s15-s2 |
2dbpm0nt |
0.337763 |
Saw_A_2019, Chang_2011, Lee_C_2017, Qi_Z_2018, Dai_Q_2012 |
van_Dijk_2008 |
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Zhou_2018 |
A generalized approach to predicting protein-protein interactions between virus and host |
Zhou, Xiang; Park, Byungkyu; Choi, Daesik; Han, Kyungsook |
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COMM-USE |
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PMC6101077 |
30367586.0 |
10.1186/s12864-018-4924-2 |
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Chang_2011 |
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Yang_2009 |
Peptide Bioinformatics- Peptide Classification Using Peptide Machines |
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PMC |
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19065810.0 |
10.1007/978-1-60327-101-1_9 |
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Sen_D_2018, Liou_2013, Lee_C_2017 |
Cai_C_2006, Lee_B_2009, Choo_2009 |
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Zemla_2011 |
StralSV: assessment of sequence variability within similar 3D structures and application to polio RNA-dependent RNA polymerase |
Zemla, Adam T; Lang, Dorothy M; Kostova, Tanya; Andino, Raul; Ecale Zhou, Carol L |
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2011-06-02 |
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PMC3121648 |
21635786.0 |
10.1186/1471-2105-12-226 |
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A benchmark driven guide to binding site comparison: An exhaustive evaluation using tailor-made data sets (ProSPECCTs) |
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2018-11-08 |
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PMC6224041 |
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10.1371/journal.pcbi.1006483 |
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Sen_D_2018, Webb_2014, Liou_2013 |
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BioRxiv |
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Zhong_2020 |


Additional remarks for MailMergePending/Subject
Subject of document or email, generated by merge process.


Glossary¶
- aiodns
An python package for asynchronous DNS resolution.
- aiohttp
http client/server framework async_v20 use’s to communicate asynchronously.
- annotation
Used to describe what type an argument takes
- arguments
- are values passed to a function
- async_v20
The name of the package this documentation is documenting
- asyncio
The library for writing single-threaded concurrent code using coroutines, multiplexing I/O access over sockets and other resources, running network clients and servers, and other related primitives.
Reference implementation of PEP 3156
- attribute
- An attribute is the term used to describe variables associated with a class that contains information about that class’ state.
- attributes
- plural of attribute
- await
- Python syntax to execute a coroutine inside an asynchronous function
- callable
- Any object that can be called. Use
callable()
to check that. - camelCase
- A style of text that uses capital letters to separate words
- cchardet
cChardet is high speed universal character encoding detector - binding to charsetdetect.
- class
Classes provide a means of bundling data and functionality together. Creating a new class creates a new type of object, allowing new instances of that type to be made. Each class instance can have attributes attached to it for maintaining its state. Class instances can also have methods (defined by its class) for modifying its state.
- concurrent
- The process by which a single threaded application switches between different tasks. Typically done to prevent waiting for I/O bound operations
- context manager
- A Python programming concept that defines enter and exit methods. Used to handle set-up and tear-down tasks
- coroutine
- A python object that supports asynchronous execution
- coroutines
- plural of coroutine
- docstring
text placed below a function or class definition that documents the function or class
- environment variable
- An environment variable is a dynamic-named value that can affect the way running processes will behave on a computer. They are part of the environment in which a process runs
- http
Stands for Hyper Text Transfer Protocol
- JSON
JavaScript Object Notation
- key
- The value used to index a dictionary
- metaclass
A python class definition that inherits from type. It allows programmers to customize class creation as if they typed the entire class
https://stackoverflow.com/questions/100003/what-is-a-metaclass-in-python
- OANDA
- The name of the Foreign Exchange (FOREX) broker async_v20 communicates with
- OandaClient
- The client class definition async_v20 exposes
- pandas
a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive
- python
Programming language
- snake_case
- a style of text that uses underscores to separate words
- status
When prefixed with http. Refers to a 3 digit number with pre-assigned meaning.
https://en.wikipedia.org/wiki/Hypertext_Transfer_Protocol#Status_codes
- token
A 65 character string used to uniquely identify and authorise access to the OANDA v20 API
- Example:
- 810492ace47473fa9f72c0eeecd33657-1eae8a55f01431bdd370206f69071e5f
- type
In computer science and computer programming, a data type or simply type is a classification of data which tells the compiler or interpreter how the programmer intends to use the data.
- virtual environment
A self-contained directory tree that contains a Python installation for a particular version of Python, plus a number of additional packages.


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“Eric and his project Biop AI Ltd. have changed the way cancer is diagnosed towards a better society.”
President of Egypt – Abdel Fattah el-Sisi
“Eric empowers others to change the world through his uniqueness and wise words. He transmits the passion on what he does and has helped many youngsters to find their way. As he says, there is only one life.
Xavier Testar – Teacher at University of Barcelona
I suffered from bullying at high school because I was overweight. Depression and video games were my only way of exit of the real world. I started Biop AI Ltd. as a way to fulfil one of my main dreams, save my aunt who is suffering from Stage
IV Metastatic Lung Cancer. During this 5-year journey I understood that there is only 1 life to spend such amount of time on getting prepared to be ready for a 9-5 job that won´t fill any little of your happiness. Live or die. Now I am the
co-founder of Biop AI and Nutrilieve as well as an international speaker with the aim to change the rules, to help the youngsters and corporates to step outside of the routine and take action by doing things that motivate them and fill the
happiness tank.
Join the mailing list for further news on projects and life time accelerations with Eric.
SPEAKING
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money you have on the pocket.