5 Seconds of Summer
-
Easier – Remix (with Charlie Puth)
[by:本尼托先生] 作曲 : 5 Seconds of Summer/Andrew Wotman/Ali Tamposi/Louis Bell/Ryan Tedder/Charlie Puth 作词 : 5 Seconds of Su... -
Who Do You Love
[by:hondoes] 作曲 : Andrew Taggart/Talay Riley/Warren Felder/Sean Douglas/Luke Hemmings/Calum Hood/Ashton Irwin/Michael C... -
Easier (Seeb Remix)
[by:薄荷猫晒太阳] 作曲 : 5 Seconds of Summer/Andrew Wotman/Ali Tamposi/Louis Bell/Ryan Tedder/Charlie Puth 作词 : 5 Seconds of S... -
Youngblood
[by:麦吉克小姐] Remember the words you told me, "love me 'til the day I die?" Surrender my everything 'cause you made me beli... -
Teeth
[by:Trap_Girl] 作曲 : Andrew Wotman/Ali Tamposi/Luke Hemmings/Ashton Irwin/Ryan Tedder/Louis Bell/Stephen Morris/Bernard ... -
Easier
[by:Trap_Girl] 作曲 : 5 Seconds of Summer/Andrew Wotman/Ali Tamposi/Louis Bell/Ryan Tedder/Charlie Puth 作词 : 5 Seconds o... -
Valentine
[by:忆yi_] I love the light in your eyes and the dark in your heart You love our permanent chase and the bite of our bark... -
Castaway
[by:LEFTWords] Young love, close the chapter, there's no ever after Fell fast, ended faster, yeah Late night conversatio... -
Lie To Me
[by:Trap_Girl] I saw you looking brand new overnight And I caught you looking too, but you didn't look twice You look ha...  -
Want You Back
[by:Trap_Girl] 作曲 : Jacob Kasher Hindlin/Andrew Goldstein/Asia Whitacre/Ashton Irwin/Calum Hood/Luke Hemmings/Steve Mac... -
Talk Fast
[by:忆yi_] I don't wanna think about a moment with you I'm kinda hoping for forever I've been dreaming about a knitted sw... -
Take What You Want
[by:oopslinetss] [ti:] [ar:] [al:] [by:九九Lrc歌词网～www.99Lrc.net] 作曲 : Taka/Brittain Colin/Long Nick 作词 : Taka/Brittain C...  -
She's Kinda Hot
[by:废柴机器人] My girlfriend's *****in 'cause I always sleep in She's always screaming when she's calling her friends She's ... -
Killer Queen
[by:忆yi_] She's a Killer Queen Gunpowder, gelatin Dynamite with a laser beam She keeps Moet et Chandon In her pretty cab... -
Babylon
[by:Trap_Girl] I thought we had a place, just our place, our home place, my headspace Was you and I always, but that pha...  -
Take what you want
作曲 : Taka / Brittain Colin / Long Nick 作词 : Taka / Brittain Colin / Long Nick Take what you want Take what you want a... -
If Walls Could Talk
[by:麦吉克小姐] Some things are meant to be secret and not to be heard So if I tell you, just keep it and don't say a word Ye... -
San Francisco
[by:LEFTWords] I can still taste you like it was yesterday Making plans to rule the world, you were more than I deserved... -
Girls Talk Boys (From "Ghostbusters" Original Motion Picture Soundtrack)
[by:蠢梨Sherry] When the girls, when the girls talk When the girls talk boys Oh, when the girls, when the girls talk When ... -
Hey Everybody!
[by:风中狂奔的屎比比] 作曲 : John Taylor/Simon Le Bon/Andy Taylor/Roger Taylor/Nick Rhodes/Joel Madden/Benji Madden/Marcus Lomax/... -
Jet Black Heart
Everybody's got their demons Even wide awake or dreaming I'm the one who ends up leaving Make it okay See a war I want t... -
Empty Wallets
[by:麦吉克小姐] Stop digging in your heart 'cause tonight is on me Tonight is on me Stop trying so hard is what you said to m... -
Good Girls
[by:忆yi_] Do do do d-do do do do do do She's a good girl She's Daddy's favorite He's saved for Harvard He know she'll ma... -
Better Man
[by:麦吉克小姐] Find me at a quarter to three, cigarette in hand I'd be at every party, I wouldn't miss a chance New friends ... -
Money
[by:KoVasin君] Take money Black jeans, white tee, black converse You know she gets it right Blue hair, blue eyes, I saw h... -
Why Won’t You Love Me
[by:忆yi_] Why? Why? Why? Why? Why? Why? Why? Why? Switching into airplane mode again We're not alright but I'll pretend ... -
She Look So Perfect
[by:买玫瑰花送女友] hey hey hey hey hey hey hey hey hey hey hey hey hey hey hey hey Simmer down, simmer down they say were too ... -
Vapor
[by:LEFTWords] I'll take what you got, got, got I know it's not a lot, lot, lot Cause I just need another hit You're the... -
Permanent Vacation
[by:LEFTWords] You say that I'm too complicated Hung up and mis-educated Well I say 9 to 5 is overrated And we all fall ... -
Daylight
[by:-朝颜] I can’t look at you in the same light Knowing what you did, my heart doesn’t feel right Yeah, my heads been tri... -
Monster Among Men
[by:忆yi_] Demons hide behind my back And I can't see them, one, two, three, four Leading me to do their dirty work Won't... -
Try Hard
[by:-朝颜] She's dropping out of school 'cause she don't need the grade, The colors in her hair don't seem to fade, I get ... -
More
[by:麦吉克小姐] There's me and you all living in the same place Why do we feel alone? Feel alone?  -
Disconnected
[by:哈里-斯泰尔斯] [ti:] [ar:] [al:] [by:九九Lrc歌词网～www.99Lrc.net] Oh oh o-o-oh, oh oh o-oh Life's a tangled web Of cell phone ... -
Tomorrow Never Dies
[by:KatherineHines] 作曲 : Ashton Irwin/Calum Hood/John Feldmann/Britt Burton 作词 : Ashton Irwin/Calum Hood/John Feldmann...  -
What I Like About You
[by:ColinFinne] That's what I like about you You hold me tight Tell me I'm the only one Wanna come over tonight? Keep on... -
Close As Strangers
[by:BarryAllen829] 作曲 : Ashton Irwin/Michael Clifford/Roy Stride/Josh Wilkinson/Rich Parkhouse/George Tizzard 作词 : Ash... -
Woke Up In Japan
[by:麦吉克小姐] I woke up in Japan Feeling low, feeling lonely The best I ever had It was more than half empty I woke up in J...  -
The Chainsmokers-Who do you love（Ruffian Bomb / The Chainsmokers / 5messages / 5 Seconds of Summer remix）
作曲 : Ruffian Bomb/The Chainsmokers 作词 : The Chainsmokers Yeah Found cigarettes in your Fendi coat 在你的芬迪外套里翻到了烟 Even thou... -
Moving Along
[by:忆yi_] Thinking 'bout you lots, lately Have you been eating breakfast alone like me? Thinking 'bout you lots, lately ...   -
Heartbreak Girl
You call me up, It's like a broken record Say that your heart hurts That you never get over him getting over you, And yo... -
Everything I Didn't Say
[by:-朝颜] This is everything I didn't say Wait, don't tell me Heaven is a place on earth I wish I could rewind all the ti...  -
Long Way Home
[by:-朝颜] We're taking the long way home (Taking the long way home) Take me back to the middle of nowhere Back to the pla...


Visualizes vowel variation in f0, F1, F2, F3 and duration.
| Version: | 0.3.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | shiny, shinyBS, stats, ggplot2, plot3D, MASS, ggdendro, ggrepel, readxl, WriteXLS, DT, psych, pracma, Rtsne, plyr, grid, svglite, Cairo, Rdpack |
| Suggests: | testthat, R.rsp |
| Published: | 2018-11-05 |
| Author: | Wilbert Heeringa, Hans Van de Velde |
| Maintainer: | Wilbert Heeringa <wjheeringa at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GNU General Public License (≥ 2)] |
| URL: | https://www.visiblevowels.org/ |
| NeedsCompilation: | no |
| Citation: | visvow citation info |
| CRAN checks: | visvow results |
| Reference manual: | visvow.pdf |
| Vignettes: |
The implementation of methods in Visible Vowels |
| Package source: | visvow_0.3.0.tar.gz |
| Windows binaries: | r-devel: visvow_0.3.0.zip, r-release: visvow_0.3.0.zip, r-oldrel: visvow_0.3.0.zip |
| OS X binaries: | r-release: visvow_0.3.0.tgz, r-oldrel: visvow_0.3.0.tgz |
| Old sources: | visvow archive |
Please use the canonical form https://CRAN.R-project.org/package=visvow to link to this page.


|
PyHodl
0.2.8
Framework to download, update, analyze and plot your crypto-transactions. Completely off-line and security-oriented.
|
Functions | |
| def | create_args () |
| def | parse_args (parser) |
| def | update (config_file, verbose) |
| def | plot (input_file, verbose) |
| def | show_balance (run_path) |
| def | download_market_cap (since, until, where_to, verbose) |
| def | download_prices (coins, since, until, where_to, verbose, currency="USD", tor=False) |
| def | download_historical (run_path, verbose, tor) |
| def | main () |
| def | handle_exception (exc) |
| def | cli () |
| def pyhodl.cli.cli | ( | ) |
:return: void Run this as cmd program
| def pyhodl.cli.create_args | ( | ) |
:return: ArgumentParser Parser that handles cmd arguments.
| def pyhodl.cli.download_historical | ( | run_path, | |
| verbose, | |||
| tor | |||
| ) |
:param run_path: str Path to download file to :param verbose: bool True iff you want verbose output :param tor: str or None Connect to tor proxy with this password :return: void Downloads price and saves results
| def pyhodl.cli.download_market_cap | ( | since, | |
| until, | |||
| where_to, | |||
| verbose | |||
| ) |
:param since: datetime Get data since this date :param until: datetime Get data until this date :param where_to: str Save data here :param verbose: bool True iff you want verbose output :return: void Downloads market cap data and saves results
| def pyhodl.cli.download_prices | ( | coins, | |
| since, | |||
| until, | |||
| where_to, | |||
| verbose, | |||
currency = "USD" , |
|||
tor = False |
|||
| ) |
:param coins: [] of str List of coins to fetch :param since: datetime Get data since this date :param until: datetime Get data until this date :param where_to: str Save data here :param verbose: bool True iff you want verbose output :param currency: str Currency to get price on :param tor: str or None Connect to tor proxy with this password :return: void Downloads price and saves results
| def pyhodl.cli.handle_exception | ( | exc | ) |
:return: void Tries to handle it
| def pyhodl.cli.main | ( | ) |
:return: void Parse args and run selected mode
| def pyhodl.cli.parse_args | ( | parser | ) |
:param parser: ArgumentParser Object that holds cmd arguments. :return: tuple Values of arguments.
| def pyhodl.cli.plot | ( | input_file, | |
| verbose | |||
| ) |
:param input_file: str Path to input file :param verbose: bool True iff you want verbose output :return: void Shows plots with data parsed from input file
| def pyhodl.cli.show_balance | ( | run_path | ) |
:param run_path: str Path to download file to :return: void Prints balance of wallets found
| def pyhodl.cli.update | ( | config_file, | |
| verbose | |||
| ) |
:param config_file: str Path to config file :param verbose: bool True iff you want verbose output :return: void Updates your local transactions and saves results


| Company Name | Founding Year | GSB Founders | Stage | Category | Description | Contact Founder | Founder Affiliations |
|---|---|---|---|---|---|---|---|
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| Company Name | Founding Year | GSB Founders | Stage | Category | Description | Contact Founder | Founder Affiliations |


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curl_version_info - returns run-time libcurl version info
SYNOPSIS
#include <curl/curl.h>
curl_version_info_data *curl_version_info( CURLversion
type);
DESCRIPTION
Returns a pointer to a filled in struct with information
about various run-time features in libcurl. type should be
set to the version of this functionality by the time you
write your program. This way, libcurl will always return a
proper struct that your program understands, while pro-
grams in the future might get an different struct.
CURLVERSION_NOW will be the most recent one for the
library you have installed:
data = curl_version_info(CURLVERSION_NOW);
Applications should use this information to judge if
things are possible to do or not, instead of using com-
pile-time checks, as dynamic/DLL libraries can be changed
independent of applications.
The curl_version_info_data struct looks like this
typedef struct {
CURLversion age; /* 0 - this kind of struct */
const char *version; /* human readable string */
unsigned int version_num; /* numeric representation */
const char *host; /* human readable string */
int features; /* bitmask, see below */
char *ssl_version; /* human readable string */
long ssl_version_num; /* number */
char *libz_version; /* human readable string */
const char *protocols[]; /* list of protocols */
} curl_version_info_data;
age describes what kind of struct this is. It is always 0
now. In a future libcurl, if this struct changes, this age
counter may be increased, and then the struct for number 1
will look different (except for this first struct field).
version is just an ascii string for the libcurl version.
version_num is a 6 digit hexadecimal number created like
this: <2 digits major number> | <2 digits minor number> |
<2 digits patch number>. Version 7.9.8 is therefore
returned as 0x070908.
host is an ascii string showing what host information that
features can have none, one or more bits set, and the cur-
rently defined bits are:
CURL_VERSION_IPV6
supports IPv6
CURL_VERSION_KERBEROS4
supports kerberos4 (when using FTP)
CURL_VERSION_SSL
supports SSL (HTTPS/FTPS)
CURL_VERSION_LIBZ
supports HTTP deflate using libz
ssl_version is an ascii string for the OpenSSL version
used. If libcurl has no SSL support, this is NULL.
ssl_version_num is the numerical OpenSSL version value as
defined by the OpenSSL project. If libcurl has no SSL sup-
port, this is 0.
libz_version is an ascii string (there is no numerical
version). If libcurl has no libz support, this is NULL.
protocols is a pointer to an array of char * pointers,
containing the names protocols that libcurl supports
(using lowercase letters). The protocol names are the same
as would be used in URLs. The array is terminated by a
NULL entry.
RETURN VALUE
A pointer to a curl_version_info_data struct.
SEE ALSO
curl_version(3)
BUGS
No known bugs.
Man(1) output converted with
man2html


The standard groups inspected by PeptideShaker are PSMs, peptides and proteins. However, using the default settings, if statistical
significance is ensured PSMs will be separated according to their charge. Similarly, peptides can be separated
based on their modification status.
This grouping strategy allows you to increase the sensitivity of the processing without compromising robustness.
Note however that changes at the PSM level can affect the Peptide and Protein levels. Similarly, changes
at the Peptide level can affect the Protein level.
It is thus important to apply changes at the lower levels first!
For more information about peptide grouping see
Vaudel et al: Peptide identification quality control,
Proteomics 2011;11(10):2105-14.
The identification summary provides essential metrics for the selected group:
The score threshold used, illustrated by a red vertical line in the confidence plot, can be changed to meet three types of requirements:
Confidence: all hits with a confidence greater than the threshold will be validated.
By default the threshold is set to 1% FDR for all levels. You can change this setting when creating the project in the advanced identification parameters.
This plot displays the confidence plotted against the score of the selected group's identifications.
The red vertical line indicates the chosen threshold. The red area on the right of the threshold illustrates the share of retained
true positives. The green area on the left of the threshold illustrates the share of potential true positives not validated, i.e., the
false negatives.
Tip: It is important to verify that the confidence reaches 0, otherwise the total number of true positives will be under-estimated.
No red line is displayed? You should use a less restrictive threshold.
This plot displays the distribution of target and decoy hits, in green and red, respectively, plotted against the identification score of the selected group.
This plot displays the coverage which can be expected, the proportion of retained true positives (1-FNR), plotted against the FDR necessary to obtain such
a coverage. In other words it is a
ROC curve for the selected group, or a cost benefit plot.
A point indicates the performance at the selected threshold. Note that the point can diverge from the curve for small datasets.


The java::getinterp command takes no arguments and returns a handle to the tcl.lang.Interp Java object that represents the current interpreter. This command is typically used to get a Java object handle that will be passed to a Java method.
Copyright © 1997-1998 Sun Microsystems, Inc.


HOUSING, SLUM CLEARANCE, DEVELOPMENT
AND REHABILITATION
Section 5. The State shall have the power to provide for, or assist in, housing, slum clearance and the development or rehabilitation of substandard areas. The exercise of such power is deemed to be for a public use and purpose. [Am HB 54 (1975) and election Nov2, 1976; ren and am Const Con 1978 and election Nov7, 1978]
Case Notes
Did not preempt ordinance relating to residential condominium leasehold conversion. 76 H. 46, 868 P.2d 1193.


WebSocket API
api.accounts
register
Enter email address
Enter password
Confirm password
Submit
login
Enter email address
Enter password
Submit


You've Got Mail: Summary and Critique
Summary :
You've Got Mail is the latest romantic comedy directed by Nora Ephron, and starring Tom Hanks and Meg Ryan, and is an update of the 1940 film The Shop Around the Corner. Ryan plays Cathleen Kelley, owner of a children's bookstore started by her mother, and called "The Shop Around the Corner"; Hanks plays Joe Fox, grandson in the firm of Fox & Sons, which is about to open a mega-book mart literally around the corner (think Borders or Barnes & Noble). Meanwhile, the two have also been carrying on an anonymous email romance they keep secret from their respective partners-Greg Kinnear as a pompous luddite political columnist, and Parker Posey woefully underused as a book editor who "makes coffee nervous." When Hanks drops in at the children's bookstore one day with his eight year old aunt (his grandfather's daughter) and his 4 year old half brother (product of his father's latest romance), some romantic sparks fly between the leads, and he declines to tell her his last name, keeping secret his role as the competition. At first, Kelley thinks Fox books won't affect her business, and she certainly has no principled objection to large corporations (both protagonists get their morning coffee at Starbuck's, and the movie has been described as an infomercial for AOL). But when her shop starts to suffer, she mounts a publicity campaign against the commercial giant, and the two booksellers become increasingly antagonistic off-line, even as he gives her business advice on-line. When they arrange to meet, he doesn't tell her that he is, in fact, the man she's been corresponding with. After she closes her shop because of plummeting sales, he continues to woo her both via email and in person. By the time she has begun writing a children's book, and acknowledges that change is all for the best, both have broken up with their previous partners, and they finally kiss at the film's conclusion.
Critique:
You've Got Mail has gotten mixed reviews-one paper titled theirs "You've Got Treacle"-but even those less than enthusiastic have tended to neglect the politics of the film. We are in an era of increasing corporate consolidation that is reshaping media as well as other capitalist enterprises-Disney owns ABC, Time Warner owns Turner Broadcasting, and Bertelsmann, the German-based owner of Bantam Doubleday Dell, has signed an agreement to buy Random House. This makes the German based company the largest publisher of English-language books in the world, controlling 25% of adult trade publishing in the US . Such major corporate mergers tend to result in a significant decline in the number of "midlist" titles published and a decline in the diversity of titles and voices published (Feminist Bookstore News Spring 1998). Moreover, in 1998 the ABA (American Booksellers Association) and a number of independent bookstores filed a lawsuit against Borders and Barnes & Noble, charging unfair and illegal business practices. Among other problems, the suit notes that as chain superstores gain dominance, book prices rise: Barnes & Noble and Borders no longer offer discounts on most books, and their business practices-including insistence on special deals and slow payment- drive up the list price of books from which any discount is calculated. A serious issue in the consolidation of media, then, is the narrowing of the range and accessibility of written discourse. In You've Got Mail, however, the only real criticism offered of the superstore is that the salespeople it hires are insufficiently knowledgeable-a problem easily remedied by hiring some of those thrown out of work by the competition.
Moreover, even the movie's transient nostalgia for small business obscures the fact that as a capitalist enterprise it is by definition exploitive, extracting surplus labor from writers, printers, bindery workers, and so on. The film is accurate, at least, in its suggestion that the logic of capitalism means that books are commodities, and the unchecked market leads to increasing monopolization. You've Got Mail resembles other recent cinematic representations of corporate growth in feminizing the small business (a children's bookstore founded by a woman and run by her daughter) and masculinizing the large corporation. Moreover, although Fox & Sons is a family business of sorts, the repeated marriages and late-in-life childrearing of grandfather and father Fox indicates their failure in stable family values. Joe, however, is evidently supposed to be humanized by his discovery of a soulmate in the incredibly sweet Cathleen Kelley. (Even after he's driven her out of business, she feels guilty about speaking harshly to him.) He also has a friendly dog and a black buddy/employee, and his seductive powers are never problematized. Early in the film, he talks with the manager of the not yet open superstore, and points out that they will seduce the customers. Later, he charms an irritated grocery clerk, and ultimately, of course, charms Kelley. She offers no objection to the discovery that he has known for the last third of the film that she is the "Shopgirl" of their email correspondence, and has withheld that information (surely an unfair if not illegal romantic practice). And of course, she completely forgives him for his business practices.
Love trumps politics. The Greg Kinnear character (the journalist boyfriend) is the only one who seems to express any political views, and is something of a buffoon. Ryan's character, in contrast, reports that she forgot to vote in the last election because she was getting a manicure. The small store's bookkeeper, played by Jean Stapleton, reports blandly that she had an affair with Franco in the 1960s. Even a fascist dictator, apparently, can be lovable (what's next? Pinochet as romantic hero?).
Joe quotes The Godfather as the source of all wisdom, but the idea that capitalism is organized crime is neglected in favor of the cuteness of his love of cinema. Jane Austen's Pride & Prejudice is used as a justification for her forgiveness of him, and indeed, that novel is ultimately about the heroine's insertion into the property structure.
In the 1940 Shop Around the Corner, on which You've Got Mail is based, the Jimmy Stewart character is senior clerk at Matusheks' leather-good store. He doesn't want to hire Margaret Sullavan; but she sells a cigarette-case/music box that the owner particularly likes, so Matushek hires her. The story is set in Budapest, and there is discussion among the shop employees of how bad the economy is, how hard it is to find a job, and how much they need to keep the jobs they have. (The shop's record business on Christmas eve is described as the best since 1928. ) Sullavan, however, hopes soon to quit working and to marry her anonymous penpal, whom she doesn't realize is Stewart, with whom she has a conflicted relationship at work. He, too, hopes to marry his anonymous penpal, with whom he corresponds on cultural topics, to improve himself, because he couldn't afford an encyclopedia. But he realizes he needs a better salary if he is going to raise a family. Matushek, the fatherly owner, mistakenly thinks Stewart is having an affair with his wife, though it's really a different salesman. He gets fired, and Sullavan calls him an insignificant little clerk (a castration to which Hanks is never subject). The owner learns the truth and makes a suicide attempt (his wife has chosen someone he would not respect or desire; he has wrongfully cast off his surrogate son-he later observes that the shop is his real home, where he has lived most of his life, and, alone on chistmas eve, takes out to dinner the new errand boy Rudy, who is alone in the city, too). Jimmy Stewart gets rehired and promoted to manager; Pepe the errand boy is promoted to clerk; the philanderer is fired (he has somehow "two-timed" the company; in cuckolding the boss he has been unfaithful to his job). After the penpals plan to meet in the café, Stewart sends a letter saying he'd seen her with such a handsome man he stayed away; he tells her he's met the letter-writer, who's fat, unemployed and ready to live on her salary rather than to support her. She confesses she really liked Jimmy Stewart and was mean to him only because she'd recently read a novel where the heroine, an actress at the comedie francaise, is cruel to men and they all fall in love with her-but she realizes her mistake was that she works not at the comedie francaise but at Matushek's leather goods store. In The Shop Around the Corner, then, the central conflict is maintining masculinity and the masculine role of provider in an unstable economy.
In You've Got Mail, the protagonists are competitors rather than coworkers-a nod to women's independent entrepreneurship, perhaps. But Kelley thinks that her life running the bookstore has been "small"-as though the breadth of experience can be measured by the volume of trade. Closing the bookstore is, she comments, like reliving her mother's death, and the film thus suggests that women's oedipal move from the world of the mother to that of the fathers is a healthy and necessary development-even if the father has, figuratively, killed the mother. Only by accepting and forgiving that loss can she move on to marriage and, implicitly, to having a daughter of her own. In turning to writing children's books, she becomes a kind of independent entrepreneur (though we never get to the questions of publication and distribution), suggesting that those put out of business by large corporations can always turn to a kind of self-employment.
Nora Ephron has apparently said in interviews that the US is no longer a class society-and judging from the invisibility in this movie of unemployment, poverty, and low-paid wage work, one might think she is right. But the portrait of the unionization battle of Borders employees in Michael Moore's documentary The Big One tells a different story.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Using Chipotle as an Example
I used locations around Minneapolis and the southwest suburbs. So, for example, Edina, Plymouth, Eden Prarie, etc. would be good for testing the functionality. You can use just the city as the address - ex: Edina, MN.
I used locations around Minneapolis and the southwest suburbs. So, for example, Edina, Plymouth, Eden Prarie, etc. would be good for testing the functionality. You can use just the city as the address - ex: Edina, MN.


You can set fontsize to adjust icon's size. Of course you can also scale icons by setting zoom or transform-scale. Download


{% extends "layout.html" %} {% block main %}
Hi there, this is early user interface prototype!
The interface is not yet ready for end users. Consider this preview only state.
If you still use it anyways, please do report back to us how well it works, does it leak memory etc.
We also do really require more man-power to develop webui further. Please join the effort!


By Lars Lindahl © 1999 Lars Lindahl
House on Haunted Hill (1999) Starring Taye Diggs, Geoffrey Rush, Ali Larter, Famke Janssen, Peter Gallagher, Bridgette Wilson, Max Perlich, Lisa Loeb, James Marsters, and Chris Kattan.  One doctor is killed instantly after having a pencil rammed completely through his neck.  These mobs of zombies presented are like those in previous B-horror flicks, with grunting noises and cadaverous movements. Except this time, at the end of the millenium, the film is given the power to show exactly how horrific these creatures can be. In past horror films, the actual murder scenes are left out or not shown forcing the viewer to assume their own nasty bloody deaths for the hapless victims. "House on Haunted Hill" doesn't want their audience to have an imagination, everything is provided for them to watch and squirm, not think. This nonsense violence thrown out of nowhere is unfortunately the most refreshing part about this film. "House on Haunted Hill", which is based on the 1958 film of the same title, introduces a handful of characters as quickly as it can, following the opening blood fest. The film has no intention of providing character development or a laudable plot. The aim here is to scare the audience with chilling, unexpected shots of blood, guts, and mayhem. However, the film is neither scary nor unpredictable. The plot involves five people who are dared to spend the night in a haunted house for one million dollars by an amusement park owner (Geoffrey Rush). Each character is a failure in the external world and acknowledges that they would do anything for that money. Since the characters are immediately generalized as either greedy or caring, the expectations of who will survive or not is killed five minutes after you meet them. The problem is that every character is not likable. The two who come closest to being civilized are a womanizer (Taye Diggs - who should be doing films a lot better than this with all of his talent) and a businesswoman who accepts being womanized (Ali Larter). The characters presented are so annoying and pathetic, that it is hard to cheer for them or scream them. The worst character in this film, or maybe in any film released this year, is Chris Kattan's Watson Pritchett. He spends the whole film whining about the spooky house in a tone so irritating and inappropriate, that he unintentionally begins to seem more evil than the house itself. Waiting for Pritchett to die, was a strenuously difficult act to sit through. The most humorous actor of the bunch is Geoffrey Rush playing Steven Price (an homage to Victor Price who starred in the original). Playing the rich man who supposedly organized the party, he plays the role perfectly in a twisted way where it is obvious that he is up to something just by the expressions on his face. However, Rush is pretty much wasted in a confusing subplot involving a hateful marriage with Evelyn Price , played by Famke Janssen. The main problem is that "House on Haunted Hill" is not scary. To top off that huge disappointment, every actor was wasted and the script was completely ludicrous. If the annoying characters and hilariously bad dialogue were intentionally underdeveloped (similar to "Deep Blue Sea"), the goal for creating a creepy, suspenseful action film was completely missed.
Grade: * (out of four) © 1999 Lars Lindahl
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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21 April 2009 - The Ministry of Health of Egypt has reported two new confirmed human cases of avian influenza.
The first case is a 25-year old pregnant female from El Marg District, Cairo Governorate. Her symptoms began on 6 April and she was hospitalized at Ain Shams University hospital on 11 April where she was started on oseltamivir on 16 April. She is in a critical condition. Investigations into the source of her infection indicated close contact with sick poultry prior to becoming ill.
The second case is 18-month old female from Kellin District, Kafr Elsheikh Governorate. Her symptoms began on 15 April and she was hospitalized at Kafr Elsheikh Fever Hospital on 18 April where she was started on oseltamivir on the same day of hospitalization. Her condition is stable. Investigations into the source of infection indicated close contact with dead and sick poultry prior to becoming ill.
For both cases, infection with H5N1 avian influenza was confirmed by the Egyptian Central Public Health Laboratory and subsequently confirmed by the U.S. Naval Medical Research Unit No. 3 (NAMRU-3).
Of the 66 cases confirmed to date in Egypt, 23 have been fatal.


Relationships
OABuilder allows for specific information when creating a Link/Relationship between two objects. This is dependend on the link type, as follows:
One-One: it will create foreign keys in each table.
One-Many: a foreign key will be created in the Many table that will map to the primary key column in the One table.
Many-Many: a link table is created that will be used to create the relationship between the objects.
The "
Editing a Link
" section has additonal information.


Outcome
This method supports the outcome {Outcome short name}.
Platform
- {list of platform(s)}
Technology
- {List of technology(ies)}
Input aspects for testing
- [technical sources for input, such as DOM tree, Accessibility tree and CSS styling]
Summary
{Summary of how to apply this method}
How it solves user need
{Description of how method relates to the outcome}
When to use
{when the method should or should not be used}


{{+bindTo:partials.standard_nacl_api}}
| PP_ImageDataFormat(* | GetNativeImageDataFormat )(void) |
| PP_Bool(* | IsImageDataFormatSupported )(PP_ImageDataFormat format) |
| PP_Resource(* | Create )(PP_Instance instance, PP_ImageDataFormat format, const struct PP_Size *size, PP_Bool init_to_zero) |
| PP_Bool(* | IsImageData )(PP_Resource image_data) |
| PP_Bool(* | Describe )(PP_Resource image_data, struct PP_ImageDataDesc *desc) |
| void *(* | Map )(PP_Resource image_data) |
| void(* | Unmap )(PP_Resource image_data) |
The PPB_ImageData
interface contains pointers to several functions for determining the browser's treatment of image data.
| PP_Resource(* PPB_ImageData::Create)(PP_Instance instance, PP_ImageDataFormat format, const struct PP_Size *size, PP_Bool init_to_zero) |
Create() allocates an image data resource with the given format and size.
For security reasons, if uninitialized, the bitmap will not contain random memory, but may contain data from a previous image produced by the same module if the bitmap was cached and re-used.
| [in] | instance | A PP_Instance identifying one instance of a module. |
| [in] | format | The desired image data format. |
| [in] | size | A pointer to a PP_Size containing the image size. |
| [in] | init_to_zero | A PP_Bool to determine transparency at creation. Set the init_to_zero flag if you want the bitmap initialized to transparent during the creation process. If this flag is not set, the current contents of the bitmap will be undefined, and the module should be sure to set all the pixels. |
PP_Resource
with a nonzero ID on success or zero on failure. Failure means the instance, image size, or format was invalid. | PP_Bool(* PPB_ImageData::Describe)(PP_Resource image_data, struct PP_ImageDataDesc *desc) |
Describe() computes the description of the image data.
| [in] | image_data | A PP_Resource corresponding to image data. |
| [in,out] | desc | A pointer to a PP_ImageDataDesc containing the description. |
PP_Bool
with PP_TRUE
on success or PP_FALSE
if the resource is not an image data. On PP_FALSE
, the desc
structure will be filled with 0. GetNativeImageDataFormat() returns the browser's preferred format for image data.
The browser uses this format internally for painting. Other formats may require internal conversions to paint or may have additional restrictions depending on the function.
PP_ImageDataFormat
containing the preferred format. | PP_Bool(* PPB_ImageData::IsImageData)(PP_Resource image_data) |
IsImageData() determines if a given resource is image data.
| [in] | image_data | A PP_Resource corresponding to image data. |
PP_Bool
with PP_TRUE
if the given resource is an image data or PP_FALSE
if the resource is invalid or some type other than image data. IsImageDataFormatSupported() determines if the given image data format is supported by the browser.
Note: PP_IMAGEDATAFORMAT_BGRA_PREMUL
and PP_IMAGEDATAFORMAT_RGBA_PREMUL
formats are always supported. Other image formats do not make this guarantee, and should be checked first with IsImageDataFormatSupported() before using.
| [in] | format | The image data format. |
PP_Bool
with PP_TRUE
if the given image data format is supported by the browser. | void*(* PPB_ImageData::Map)(PP_Resource image_data) |
Map() maps an image data into the module address space.
| [in] | image_data | A PP_Resource corresponding to image data. |
| void(* PPB_ImageData::Unmap)(PP_Resource image_data) |
Unmap is a pointer to a function that unmaps an image data from the module address space.
| [in] | image_data | A PP_Resource corresponding to image data. |


class: center, middle, inverse, title-slide # Statistics II ### Introduction to R
Bern R Bootcamp
### June 2020 --- layout: true
        www.therbootcamp.com      Introduction to R | June 2020
 --- .pull-left5[ # Linear models #### <high>Run linear models</high> with `stats` including...

  Function 	  Purpose

  <mono>lm()</mono>, <mono>glm()</mono> 	  (Generalized) linear models

  <mono>lmer()</mono>, <mono>glmer()</mono> 	  (Generalized) mixed-linear models

  <mono>regressionBF()</mono> 	  Bayesian (gen.) linear models

 #### <high>Explore linear models</high> with `stats`
 <col width="43%"> <col width="57%">
  Function 	  Purpose

  <mono>summary()</mono>, <mono>print()</mono>, <mono>coefficients()</mono>	  Inspect fitted coefficients

  <mono>names()</mono>, <mono>mod$name</mono> 	  Inspect model object

  <mono>plot()</mono> 	  Inspect default illustrations

 ] .pull-right45[

 adapted from xkcd.com
 ] --- # Fitting a linear model

 --- # Fitting a linear model

 --- # Fitting a linear model

 --- # Fitting a linear model

 --- # Fitting a linear model

 --- # Fitting a linear model

 --- # Fitting a linear model

 --- # Statistical functions like `lm()` .pull-left3[ Statistical functions work with two types of objects... (1) A <high>`tibble`</high> in place of the `data` argument. (2) A <high>`formula`</high> in place of the `formula` argument.
 <high>`Formulas`</high> specifies a <high>criterion</high> (y) as a function of one or more <high>predictors</high> (x1, x2, ...) in the form: <mono>formula = y ~ x1 + x2 +...<mono> ] .pull-right65[ ```r # Example: Create regression object (my_glm) my_glm <- lm(formula = income ~ age + height, data = baselers) ```

 ] --- # Customize formulas Include <high>additional predictors</high> to formulas by "adding" them with <high>`+`</high> ```r # Include multiple terms with + my_lm <- lm(formula = income ~ age + height, data = baselers) ``` To also include <high>interaction terms</high> use <high><mono>x1:x2</mono></high>. ```r # Add an interaction term between age and height my_lm <- lm(formula = income ~ age + height + age : height, data = baselers) ``` To include, both <high>main effects and interactions</high>, use <high><mono>x1*x2</mono></high>. ```r # Include both main effects and interactions for age and height my_lm <- lm(formula = income ~ age * height, data = baselers) ``` --- # Customize formulas .pull-left4[ <high>Explicit</high> main effects and interactions. ```r # Main effects and interactions lm(formula = income ~ age + height + age:height, data = baselers) ```
 <high>Implicit</high> main effects and interactions. ```r # Main effects and interactions lm(formula = income ~ age*height, data = baselers) ``` ] .pull-right55[
 ``` ## ## Call: ## lm(formula = income ~ age + height + age:height, data = baselers) ## ## Coefficients: ## (Intercept) age height age:height ## -1442.858 196.119 13.584 -0.273 ```
 ``` ## ## Call: ## lm(formula = income ~ age * height, data = baselers) ## ## Coefficients: ## (Intercept) age height age:height ## -1442.858 196.119 13.584 -0.273 ``` ] --- # Inspect model output .pull-left4[ <high>Summary</high> of a model using `summary()`. ```r # Main effects and interactions my_lm <- lm(formula = income ~ age*height, data = baselers) # model summary summary(my_lm) ``` ] .pull-right55[ ``` ## ## Call: ## lm(formula = income ~ age * height, data = baselers) ## ## Residuals: ## Min 1Q Median 3Q Max ## -3876 -829 13 796 4863 ## ## Coefficients: ## Estimate Std. Error t value Pr(>|t|) ## (Intercept) -1442.858 1571.528 -0.92 0.36 ## age 196.119 34.028 5.76 1.1e-08 *** ## height 13.584 9.180 1.48 0.14 ## age:height -0.273 0.199 -1.37 0.17 ## --- ## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 ## ## Residual standard error: 1200 on 857 degrees of freedom ## Multiple R-squared: 0.812, Adjusted R-squared: 0.811 ## F-statistic: 1.23e+03 on 3 and 857 DF, p-value: <2e-16 ``` ] --- # Inspect model object .pull-left4[ <high>Inspect object</high> using `names()`. ```r # Main effects and interactions my_lm <- lm(formula = income ~ age*height, data = baselers) # model elements names(my_lm) ``` ``` ## [1] "coefficients" "residuals" ## [3] "effects" "rank" ## [5] "fitted.values" "assign" ## [7] "qr" "df.residual" ## [9] "xlevels" "call" ## [11] "terms" "model" ``` ] .pull-right55[ <high>Select element</high> via <mono>$</mono>. ```r # Select coefficients my_lm$coefficients ``` ``` ## (Intercept) age height age:height ## -1442.8582 196.1190 13.5843 -0.2728 ``` ```r # Select residuals my_lm$residuals ``` ``` ## 1 2 3 4 5 ## -611.71 976.02 1289.40 -36.02 1035.27 ## 6 7 8 9 10 ## 468.84 -1029.91 -283.53 1869.35 -2172.14 ## 11 12 13 14 15 ## -649.86 209.30 -595.77 -885.89 -1016.55 ## 16 17 18 19 20 ## 82.49 -697.53 317.78 354.89 -380.39 ## [ reached getOption("max.print") -- omitted 841 entries ] ``` ] --- # Inspect model object .pull-left4[ <high>Inspect object</high> using `plot()`. ```r # Main effects and interactions my_lm <- lm(formula = income ~ age*height, data = baselers) # model elements plot(my_lm) ``` ] .pull-right55[

 ] --- # Logistic regression with `glm()` .pull-left4[ Specify <high>generlized linear models</high> using `glm()` and the `family` argument. Set <highm>family = "binomial"</highm> to run logistic regressions regressions.
 Logistic model
 `$$p(Y = 1) = \frac{1}{1 + \exp{(-(\boldsymbol x^T \boldsymbol \beta))}}$$` ] .pull-right55[ ```r # Logistic regression my_glm <- glm(formula = sex01 ~ age*height, data = baselers, family = "binomial") my_glm ``` ``` ## ## Call: glm(formula = sex01 ~ age * height, family = "binomial", data = baselers) ## ## Coefficients: ## (Intercept) age height age:height ## -1.95e+01 -5.79e-02 1.15e-01 3.14e-04 ## ## Degrees of Freedom: 860 Total (i.e. Null); 857 Residual ## Null Deviance: 1190 ## Residual Deviance: 868 AIC: 876 ``` ] --- # ANOVA? With `lm()` or `glm()` .pull-left4[ <high>Analysis of variance</high> (ANOVA) is a (generlized linear models). Run ANOVA using using `lm()` or `glm()` and <high>evaluate with <mono>anova()</mono></high>. <high>`Character`</high> will be interpreted <high>as `factors`</high>. ] .pull-right55[ ```r # Anova model with education my_an <- lm(formula = income ~ education*height, data = baselers) anova(my_an) ``` ``` ## Analysis of Variance Table ## ## Response: income ## Df Sum Sq Mean Sq F value Pr(>F) ## education 3 4.21e+07 14017278 1.83 0.14 ## height 1 5.46e+05 546159 0.07 0.79 ## education:height 3 7.78e+06 2593272 0.34 0.80 ## Residuals 853 6.53e+09 7655087 ``` ] --- # ANOVA? With `lm()` or `glm()` .pull-left4[ <high>Analysis of variance</high> (ANOVA) is a (generlized linear models). Run ANOVA using using `lm()` or `glm()` and <high>evaluate with <mono>anova()</mono></high>. <high>`Character`</high> will be interpreted <high>as `factors`</high>. ] .pull-right55[ ```r # Anova model with education my_an <- lm(formula = income ~ education*height, data = baselers) my_an ``` ``` ## ## Call: ## lm(formula = income ~ education * height, data = baselers) ## ## Coefficients: ## (Intercept) ## 7431.023 ## educationobligatory_school ## -2449.640 ## educationSEK_II ## 3150.193 ## educationSEK_III ## -115.493 ## height ## 1.454 ## educationobligatory_school:height ## 12.856 ## educationSEK_II:height ## -23.251 ## educationSEK_III:height ## 0.949 ``` ] --- # Mixed-linear models with `lmer()` .pull-left4[ Mixed-linear models account for dependency structures in the data, such as when <high>repeated measures</high> or <high>multi-level assessments</high>. Run mixed models using <highm>lmer()</highm> or <highm>glmer()</highm> from the `lme4` package. Specify a <high>random model term</high> using <highm>(rand_terms|identifer)<highm>.
 ```r # Mixed-model with education m <- lmer(formula = income ~ age * height + (1|eyecor), data = baselers) summary(m) ``` ] .pull-right55[ ``` ## Linear mixed model fit by REML ['lmerMod'] ## Formula: income ~ age * height + (1 | eyecor) ## Data: baselers ## ## REML criterion at convergence: 14635 ## ## Scaled residuals: ## Min 1Q Median 3Q Max ## -3.226 -0.690 0.011 0.662 4.048 ## ## Random effects: ## Groups Name Variance Std.Dev. ## eyecor (Intercept) 1.18e-09 3.44e-05 ## Residual 1.44e+06 1.20e+03 ## Number of obs: 861, groups: eyecor, 2 ## ## Fixed effects: ## Estimate Std. Error t value ## (Intercept) -1442.858 1571.528 -0.92 ## age 196.119 34.028 5.76 ## height 13.584 9.180 1.48 ## age:height -0.273 0.199 -1.37 ## ## Correlation of Fixed Effects: ## (Intr) age height ## age -0.936 ## height -0.997 0.932 ## age:height 0.933 -0.997 -0.935 ## fit warnings: ## Some predictor variables are on very different scales: consider rescaling ``` ] --- # Bayesian statistics .pull-left4[ Bayesian statistics combine the results of classic, inferential statitics with a <high>prior</high> to compute the <high>probability of the hypothesis</high> rather than that of the data. Packages such as <highm>BayesFactor</highm> or <highm>rstanarm</highm> make the use of Bayesian statistics as easy as that of classic, inferential statitics. Bayesian model $$ p(H|D) = \frac{p(D|H)*p(H)}{p(D)} $$ ] .pull-right55[ ```r # Bayesian regression my_bm <- regressionBF(formula = income ~ age + height, data = baselers) summary(my_bm) ``` ``` ## Bayes factor analysis ## -------------- ## [1] age : 9.991e+308 ±0.01% ## [2] height : 0.0884 ±0% ## [3] age + height : 2.366e+307 ±0% ## ## Against denominator: ## Intercept only ## --- ## Bayes factor type: BFlinearModel, JZS ``` ] --- # `tidy()` .pull-left4[ The `tidy()` function from the <highm>broom</highm> package converts model object like the result of `lm()` to a tibble. ] .pull-right55[ ```r # Original printout my_lm ``` ``` ## ## Call: ## lm(formula = income ~ age * height, data = baselers) ## ## Coefficients: ## (Intercept) age height age:height ## -1442.858 196.119 13.584 -0.273 ``` ```r # Tidy printout tidy(my_lm) ``` ``` ## # A tibble: 4 x 5 ## term estimate std.error statistic p.value ## <chr> <dbl> <dbl> <dbl> <dbl> ## 1 (Intercep… -1443. 1572. -0.918 3.59e-1 ## 2 age 196. 34.0 5.76 1.15e-8 ## 3 height 13.6 9.18 1.48 1.39e-1 ## 4 age:height -0.273 0.199 -1.37 1.70e-1 ``` ] --- class: middle, center
Practical


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Test: dojox.form.CheckedMultiSelect
Check Boxes
Tennessee
Virginia
Washington
Florida
California
Utah
Texas
Georgia
Idaho
Wyoming
Oregon
Pennsylvania
Radio Buttons
Tennessee
Virginia
Washington
Florida
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Utah
Texas
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Idaho
Wyoming
Oregon
Pennsylvania
Store-based
Validation
Validate
Get Values
Add Check Option
Add Radio Option
Toggle Disabled
Toggle Read Only
Invert Selection
Get Displayed Value
Disabled select (shouldn't be able to check items)
Tennessee
Virginia
Washington
Florida
California
Add item
ReadOnly select (shouldn't be able to check items, but checkboxes should still be colored)
Tennessee
Virginia
Washington
Florida
California
Add item


Source
(defun open-schema-table (pathname &key if-exists if-does-not-exist)
;; Load existing schemas from the file.
(if (probe-file pathname)
(ecase if-exists
(:error (error "Schema table file ~S already exists." pathname))
(:supersede
;; Create an empty schema table, save it and return it.
(let ((table (make-instance 'schema-table :pathname pathname)))
(save-schema-table table)
table))
(:overwrite
;; Normal case
(let ((table (first (load-objects pathname))))
(when (not (equal pathname (schema-table-pathname table)))
;; The table was moved; update the pathname info.
(setf (schema-table-pathname table) pathname)
(save-schema-table table))
table)))
(ecase if-does-not-exist
(:error (error "Schema table file ~S does not exist." pathname))
(:create
;; Create an empty schema table, save it and return it.
(let ((table (make-instance 'schema-table :pathname pathname)))
(save-schema-table table)
table)))))
Source Context


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August 8, 2007
-
Leaving to China
August 4, 2007
-
Foot Spa
August 4, 2007


Teretana Pobednik
Quite often, people associate Core training exclusively with abdominal exercises, but, the truth is quite different. Core training starts with head, and exercises advance all the way to the waist. Core includes neck, shoulders, back, stomach and waist exercises. People often neglect the waist exercises, even though they may just be the most important ones. Medium level course is intended for anyone who wants to work on their apearance or health, and who don't mind getting sweaty. One of our most visited programs is held by Vanja, Vukašin and Filip.
60 min


The amount of money a district spends on each student. I propose this as the best metric on which to compare the cost-effectiveness of one district versus another. You will notice that Chichester is far ahead of the pack, upwards of 5k + more per student. You will notice that even Chichester's spending rate 4 years ago was more than what districts are spending today (except for GV, a much, much wealthier district).
Here's a PSBA publication for the 2017-2018 fiscal year that show's how other Delaware county districts conform to the state average while Chichester is out in it's own league.
If the community has any interest in putting an end to our excessive taxes, I suggest cost-per-student as the number everyone focuses on. Other metrics are just too easily manipulated through smoke and mirrors (tax rate increases manipulated via budget deficits are a good example.)
| {{comparisons.fiscalYears[key]}} | |
|---|---|
| {{district.district.name}} | {{district.metricsByFiscalYear[key].metrics['TotalCostPerStudent'] | number: '1.0-0'}} |


ShellHacks 2021
Code What Matters by JP Morgan Chase
{% include 'accounts/navbar.html' %} {% block content %} {% endblock %}
{% include 'accounts/footer.html' %}


Latest News! Click Here to meet the team responsible for our new site and web-based app.
Striving to be your number one source for all things in real-time route management. We're dedicated to providing you the very best, with an emphasis on customer service.
RMS - Route Management System has come a long way from its beginnings. When we first started out, our passion for quality drove us to where we are today.
We hope you enjoy our products as much as we enjoy offering them to you. If you have any questions or comments, please don't hesitate to contact us.
Sincerely,
The RMS Team.


From the personography database, the numbers of library patrons whose sex MEP has identified.
| Sex | Number of Individuals |
|---|---|
| Female | 50 |
| Male | 50 |
From the personography database, the nationalities represented in the subcriber base. Some subscribers had more than one nationality.


--- layout: post title: How to stop websites from tracking your Internet activity permalink: how-to-stop-websites-from-tracking-your-nternet-activity/ date: 2012-12-07 14:10:02.000000000 +08:00 categories: - security tags: - do not track me - how to protect internet privacy - internet anonymity - internet best practices - internet privacy - internet security status: publish type: post published: true meta: review_rating: '' _edit_last: '2' _wpas_done_all: '1' _wpas_skip_1611607: '1' _wpas_skip_2203490: '1' dsq_thread_id: '3469338299' cleaned: true ---
If you are not the customer, then you are the product being sold
When you are browsing a particular website, you might see an advertisement in the corner of the page, a Facebook Like button on the bottom of the post, a share button on the left or +1 icon of Google Plus and etc.
Those things seems looks like an ordinary form of marketing or a new way of interaction that web developers adds on their web pages in able to "enhance" the user experience.
But its rarely mentioned to us that in exchange of those things are some personal information that they are using to make some money. Take Facebook or Google for example, they allow you to use their services for "free". But then, how did they earn money in exchange of those?
So you are using social networks, various websites, blogs etc. but what they are getting from you is something not really private, but something that YOU should have control. Aside from the advertisement revenue they get when you view or click ads on their websites, they are also capturing your "online" behavior.
Online behavior relates to what kind of sites you visit often, how long you stay there, what is your country, what is your age, what food you prefer etc. Those information was being compiled by these "tracking" websites, so that they can sell it to advertisers and any other company that is interested to those data.
There is one tool that you can use to protect your online privacy, thus have a control on how your Internet activity is being tracked. It is called "DoNotTrackMe".
DoNotTrackMe is a browser extension (not a separate program) that you install in whatever browser you are using. When you got it installed in your browser, all the tracking activity of various websites will be automatically blocked by this extension. You can of course white list some websites that you trust so that they can still track you, but the thing is, you have a total control of what data is being collected from you.
Installing the browser extension is pretty easy, for Chrome, just go to Chrome Store, type in ""DoNotTrackMe" and there you go.
Remember, by default, the extension will block "all" websites that is trying to track you. So unless you explicitly set it in the extension, you wont get tracked by any of those sites.


Ongoing Animes
- 100% Pascal-sensei Episode 36
- 3-gatsu no Lion 2nd Season Episode 12
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NewBasilisk: Ouka Ninpouchou Episode 1
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NewBeatless Episode 1
- Beyblade Burst God Episode 15
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- Bonobono (2016) Episode 92
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HOTBoruto: Naruto Next Generations Episode 40
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HOTNewCardcaptor Sakura: Clear Card-hen Episode 1
- Cardfight!! Vanguard G: Z Episode 13
- Cinderella Girls Gekijou 2nd Season Episode 13
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NewCitrus Episode 2
- ClassicaLoid 2nd Season Episode 15
- Code:Realize: Sousei no Himegimi Episode 12
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NewDagashi Kashi 2 Episode 1
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NewDame x Prince Anime Caravan Adventure Episode 1
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NewDarling in the FranXX Episode 1
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NewDeath March kara Hajimaru Isekai Kyousoukyoku Episode 1
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HOTDragon Ball Super Episode 122
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NewEmiya-san Chi no Kyou no Gohan Episode 1
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NewFireball Humorous Episode 1
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HOTGintama. Porori-hen Episode 13
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NewGintama.: Shirogane no Tamashii-hen Episode 1
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NewGrancrest Senki Episode 2
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NewHakata Tonkotsu Ramens Episode 1
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NewHataraku Onii-san! Episode 2
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NewHitori no Shita: The Outcast 2nd Season Episode 0
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NewIDOLiSH7 Episode 3
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NewIto Junji: Collection Episode 2
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NewKarakai Jouzu no Takagi-san Episode 1
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NewKilling Bites Episode 1
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NewKoi wa Ameagari no You ni Episode 1
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NewKokkoku Episode 1
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NewMärchen Mädchen Episode 1
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NewMicchiri Neko Episode 2
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NewMiira no Kaikata Episode 1
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NewMitsuboshi Colors Episode 1
- Monster Hunter Stories: Ride On Episode 64
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NewNanatsu no Taizai: Imashime no Fukkatsu Episode 0
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HOTNaruto Shippuuden Episode 500
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- Ousama Game The Animation Episode 12
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NewOverlord II Episode 1
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- Pokemon Sun & Moon Episode 57
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NewPoputepipikku Episode 2
- PriPri Chii-chan!! Episode 36
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NewRamen Daisuki Koizumi-san Episode 2
- RoboMasters the Animated Series Episode 3
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NewRyuuou no Oshigoto! Episode 1
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NewSakura Internet Episode 1
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NewSanrio Danshi Episode 2
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NewShinkansen Henkei Robo Shinkalion The Animation Episode 1
- Shokugeki no Souma: San no Sara Episode 12
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- Shoukoku no Altair Episode 24
- Shounen Ashibe: Go! Go! Goma-chan 2 Episode 27
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NewSlow Start Episode 2
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NewSora yori mo Tooi Basho Episode 2
- Taishou Chicchai-san Episode 12
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NewTakunomi. Episode 1
- The [email protected] Side M Episode 13
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NewThe King Of Fighters : Destiny Episode 3
- Time Bokan: Gyakushuu no San Akunin Episode 14
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NewToji no Miko Episode 1
- Tsukipro The Animation Episode 13
- Two Car Episode 12
- UQ Holder!: Mahou Sensei Negima! 2 Episode 12
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- Wake Up, Girls! Shin Shou Episode 13
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NewYuru Camp△ Episode 2
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NewZoku Touken Ranbu: Hanamaru Episode 1
Newly Added
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--- layout: example.html title: Label style shortdesc: Example of label vector style rendered in Google Maps. docs: >
This example displays styled OpenLayers point geometries displayed as labels in a Google map.
The MapLabel library, which is natively included in OL-Google-Maps, takes care of rendering the text labels in Google Maps. It has been extended to support displaying markers over labels.
---


Static SVG
pure static SVG,
no CSS
SMIL Animation
SMIL is
deprecated
,
no CSS
CSS Animation
marker arrow replaced,
added clipPath


The first edition of deep learning IndabaX-Morocco will be held at the Faculty of Sciences and Techniques of Mohammedia in April 29-30, 2019. The event will offer a comprehensive technical program addressing recent developments in research for Artificial intelligence. There will also be socials to facilitate networking, discussion of different career opportunities in AI, and sharing of ideas to increase participation of Moroccan researchers in the field. We invite all members of the AI community to attend the event.
Technical scope
- Algorithms: Active Learning; Multitask and Transfer Learning; Online Learning; Representation Learning; Semi-Supervised Learning; Similarity and Distance Learning; Sparse Coding and Dimensionality Expansion; Unsupervised Learning.
- Applications: Body Pose, Face, and Gesture Analysis; Computational Biology and Bioinformatics; Computational Social Science; Computer Vision; Image Segmentation; Information Retrieval; Natural Language Processing; Network Analysis; Object Detection; Object Recognition; Privacy, Security; Quantitative Finance and Econometrics; Recommender Systems; Robotics; Speech Recognition; Sustainability; Systems Biology; Tracking and Motion in Video;
- Deep Learning: Adversarial Networks; Attention Models; CNN Architectures; Deep Autoencoders; Generative Models; Meta-Learning; Optimization for Deep Networks; Recurrent Networks; Supervised Deep Networks; Visualization.
- Neuroscience and Cognitive Science: Auditory Perception; Brain Imaging; Brain-Computer Interfaces and Neural Prostheses; Cognitive Science; Language for Cognitive Science; Problem Solving; Reasoning; Visual Perception.
- Probabilistic Methods: Bayesian Theory; Belief Propagation; Causal Inference; Gaussian Processes; Graphical Models; Hierarchical Models.
- Reinforcement Learning: Decision and Control; Exploration; Hierarchical RL; Markov Decision Processes; Navigation; Planning.
- Theory: Computational Complexity; Game Theory and Computational Economics; Information Theory; Learning Theory; Regularization; Spaces of Functions and Kernels; Statistical Physics of Learning
Submission guidelines
We also welcome position papers (2 pages) related to these areas. Work may be previously published, completed, or ongoing. Submissions will be peer-reviewed by at least 2 reviewers in the area. The workshop will not publish proceedings. We encourage researchers in the field to submit their work.
All submissions must be in PDF format. All papers should follow Latex or word templates. Here is an example of a 2 pages research paper following these gidelines. Submissions may be up to 2 pages including all figures and tables, with an additional page for references. The submissions should be in a single column. They should be typeset using 11-point or larger fonts and should have at least 1-inch margin all around. Submissions that do not follow these guidelines risk being rejected without consideration of their merits.
Submissions must state the research problem, motivation, and technical contribution.
Each accepted paper will be presented as a poster. Each poster should be at most 36W x 48H inches or 90 x 122 cm.


Collection of benchmarks for ShellJS
This is a comparison of ShellJS and bash for performance. Each test case runs scripts with equivalent output and compares Bash's runtime with ShellJS's. Surprisingly, ShellJS is often the winner, sometimes being up to 12x faster! Woohoo! See below for ShellJS performance wins.
Linux
4.2.0-30-generic
x64
Intel(R) Core(TM) i5-3317U CPU @ 1.70GHz × 4
Node.js: v5.3.0
V8: <IP_ADDRESS>
name: /bin/bash
version: GNU bash, version 4.3.42(1)-release (x86_64-pc-linux-gnu) Copyright (C) 2013 Free Software Foundation, Inc. License GPLv3+: GNU GPL version 3 or later http://gnu.org/licenses/gpl.html This is free software; you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by law.
Bash took 780
milliseconds
ShellJS 0.5.3 took 284
milliseconds
ShellJS 0.6.0 took 270
milliseconds
ShellJS latest took 174
milliseconds
ShellJS was 4.483
times faster than Bash
Bash took 223
milliseconds
ShellJS 0.5.3 took 409
milliseconds
ShellJS 0.6.0 took 295
milliseconds
ShellJS latest took 823
milliseconds
Bash was 3.691
times faster than ShellJS
Bash took 98
milliseconds
ShellJS 0.5.3 took 176
milliseconds
ShellJS 0.6.0 took 184
milliseconds
ShellJS latest took 223
milliseconds
Bash was 2.276
times faster than ShellJS
Bash took 85
milliseconds
ShellJS 0.5.3 took 171
milliseconds
ShellJS 0.6.0 took 187
milliseconds
ShellJS latest took 183
milliseconds
Bash was 2.153
times faster than ShellJS
Bash took 163
milliseconds
ShellJS 0.5.3 took 261
milliseconds
ShellJS 0.6.0 took 284
milliseconds
ShellJS latest took 788
milliseconds
Bash was 4.834
times faster than ShellJS
Bash took 10345
milliseconds
ShellJS 0.5.3 took 684
milliseconds
ShellJS 0.6.0 took 908
milliseconds
ShellJS latest took 1107
milliseconds
ShellJS was 9.345
times faster than Bash
Bash took 917
milliseconds
ShellJS 0.5.3 took 1312
milliseconds
ShellJS 0.6.0 took 1911
milliseconds
ShellJS latest took 4158
milliseconds
Bash was 4.534
times faster than ShellJS
Bash took 1486
milliseconds
Skipping test for ShellJS 0.5.3
ShellJS 0.6.0 took 307
milliseconds
ShellJS latest took 468
milliseconds
ShellJS was 3.175
times faster than Bash


{% extends "slideshowEditor.html" %}
{% block widgetVars %}
{% set widgetClass = 'apos-buttons-editor apos-slideshow-editor' %}
{% endblock %}
{% block title %}
Edit Button(s)
{% endblock %}
{% block instructions %}
Choose image files (GIF, JPEG or PNG). Drag them into the order you prefer.
You can also drag images from your computer into the dashed area below.
{% endblock %}


Voss package provides functionality for generating realizations of a fractal Brownian function on uniform 1D & 2D grid with classic and generic versions of the Voss algorithm (random sequential additions)
| Version: | 0.1-4 |
| Depends: | R (≥ 2.14.0), fields |
| Published: | 2012-06-04 |
| Author: | Pavel V. Moskalev |
| Maintainer: | Pavel V. Moskalev <moskalefff at gmail.com> |
| License: | GPL-3 |
| URL: | http://www.r-project.org |
| NeedsCompilation: | no |
| CRAN checks: | Voss results |
| Reference manual: | Voss.pdf |
| Package source: | Voss_0.1-4.tar.gz |
| Windows binaries: | r-devel: Voss_0.1-4.zip, r-release: Voss_0.1-4.zip, r-oldrel: Voss_0.1-4.zip |
| OS X binaries: | r-release: Voss_0.1-4.tgz, r-oldrel: Voss_0.1-4.tgz |
Please use the canonical form https://CRAN.R-project.org/package=Voss to link to this page.


To upgrade to Teams from Skype for Business or Microsoft Lync on-premises, you'll need to set up hybrid connectivity with your Microsoft 365 tenant, and then determine coexistence requirements if you are moving your users to Teams in phases.
Setting up hybrid connectivity is the first step in moving your on-premises environment to the cloud.
If you have on-premises Skype for Business users that are also using Teams (side by side), those users do not have the ability to interoperate with Skype for Business users from their Teams client, nor communicate with users in federated organizations, from their Teams client. To gain this functionality in Teams, these users must be moved from Skype for Business on-premises to the cloud, which requires configuring Skype for Business hybrid mode. In addition, for the best experience, these users should be in TeamsOnly mode, which ensures all incoming calls and chats from any user land in the user’s Teams client.
You can learn more about hybrid connectivity in the Understanding hybrid connectivity module.
Coexistence and interoperability between Skype for Business and Teams clients and users are defined by Teams Upgrade modes. By default, organizations are in Islands mode, which allows users to use both Teams and Skype for Business clients side by side.
For an organization moving to Teams, TeamsOnly mode is the final destination for each user--though not all users need to be assigned TeamsOnly (or any other mode) at the same time.
Prior to users reaching TeamsOnly mode, organizations can optionally use any of the Skype for Business coexistence modes to ensure predictable communication between users who are in TeamsOnly mode and users who aren't yet. The purpose of the Skype for Business coexistence modes (SfBOnly, SfBWithTeamsCollab, SfBWithTeamsCollabAndMeetings) is to provide a predictable experience for end users as organizations transition from Skype for Business to Teams.
When a user is in any of the Skype for Business modes, all incoming chats and calls are routed to the user’s Skype for Business client. To avoid end-user confusion and ensure proper routing, calling and chat functionality in the Teams client is disabled when a user is in any of the Skype for Business modes. Similarly, meeting scheduling in Teams is explicitly disabled when users are in the SfBOnly or SfBWithTeamsCollab modes, and explicitly enabled when a user is in the SfBWithTeamsCollabAndMeetings mode.
Depending on your requirements, you can assign the appropriate coexistence mode based on the upgrade path that your organization has chosen.
The final step is to move users to Teams. This might involve one or two steps depending on your current on-premises environment.
In an on-premises deployment of Skype for Business Server that is enabled for hybrid, you can move users between the on-premises environment and the cloud (whether to Microsoft Teams or to Skype for Business Online). Whether a user is located on-premises or in the cloud is known as the user’s Skype for Business home:
Teams users inherently have a Skype for Business home, whether they use Skype for Business or not. If you have on-premises Skype for Business users that are also using Teams (side by side), those users are homed on-premises. Teams users with Skype for Business on-premises do not have the ability to interoperate with Skype for Business users from their Teams client, nor can they communicate from Teams with users in a federated organization. Such functionality is only available after the user is moved from Skype for Business on-premises to online. When you move a user to online, you can either allow them to use Skype for Business Online (and, optionally, Teams) or you can make them Teams Only. If your organization is already using Teams, it’s strongly recommended that you move them to TeamsOnly mode, which will ensure that routing of all incoming chats and calls lands in their Teams client.
Prerequisites to move a user to the cloud (whether to Skype for Business Only or TeamsOnly mode):
When a user is moved from on-premises to the cloud:
To move users between on-premises and the cloud (whether to Teams or to Skype for Business Online), use either the Move-CsUser cmdlet or the Skype for Business Admin Control Panel, both of which are on-premises tools. These tools support three different move paths:
To move users between on-premises and the cloud, you must use an account with sufficient privileges in both the on-premises Skype for Business Server environment as well as in the Microsoft 365 tenant. You can either use one account that has all the necessary privileges, or you can use two accounts, in which case you would access the on-premises tools using on-premises credentials, and then in those tools you would supply additional credentials for a Microsoft 365 administrative account.
When you're done with a link, use the Back arrow in your browser to come back to this page.


My first paragraph.
$\left (\begin{array}{cc}1 & 0 \\0 & 1 \\\end{array}\right)$
My second paragraph.
Answer style
Information style
Warning style
Error style