1. Introduction
This section is not normative.
When a user successfully loads a webpage from example.com
over a
secure channel (HTTPS, for example), the user is guaranteed that no entity
between the user agent and example.com
eavesdropped on or
tampered with the data transmitted between them. However, this guarantee is
weakened if the webpage loads subresources such as script or images over an
insecure connection. For example, an insecurely-loaded script can allow an
attacker to read or modify data on behalf of the user. An insecurely-loaded
image can allow an attacker to communicate incorrect information to the user
(e.g., a fabricated stock chart), mutate client-side state (e.g., set a
cookie), or induce the user to take an unintended action (e.g., changing the
label on a button). These requests are known as mixed content.
[mixed-content] details how a user agent can mitigate these risks by blocking certain types of mixed content, and behaving more strictly in some contexts.
However, as implemented in today’s web browsers, [mixed-content] does not fully protect the confidentiality and integrity of users' data. Insecure content such as images, audio, and video can currently be loaded by default in secure contexts. Secure pages can even initiate insecure downloads which escape the user agent’s sandbox entirely.
Moreover, users do not have a clear security indicator when mixed content is loaded. When a webpage loads mixed content, browsers display an "in-between" security indicator (such as removing the padlock icon), which does not give users a clear indication of whether they should trust the page. This UX has also not proved a sufficient incentive for developers to avoid mixed content, since it is still common for webpages to load mixed content. Blocking all mixed content would provide the user with a simpler mental model -- the webpage is either loaded over a secure transport or it isn’t -- and encourage developers to securely load any mixed content that is necessary for their webpage to function properly.
Mixed Content Level 2 therefore updates and extends [mixed-content] to provide users with better security and privacy guarantees and a better security UX, while minimizing breakage. Instead of advising browsers to simply strictly block all mixed content, the core idea of Level 2 is mixed content autoupgrading. That is, mixed content that user agents are not already blocking should be autoupgraded to a secure transport. If the request cannot be autoupgraded, it will be blocked. Autoupgrading avoids loading insecure resources on secure webpages, while minimizing the amount of developer effort needed to avoid breakage.
This specification (Level 2) only recommends autoupgrading types of mixed content subresources that are not currently blocked by default, and does not recommend autougprading types of content that are already blocked. This is to minimize the amount of web-visible change; we only want to autoupgrade content if it advances us towards the goal of blocking all mixed content by default.
This specification also explicitly introduces the concept of mixed downloads. A mixed download is a resource that a user agent handles as a download, which was initiated by a secure context but is downloaded over an insecure connection. User agents should block mixed downloads because they can escape the user agent’s sandbox (in the case of an executable) or contain sensitive information (e.g., a downloaded bank statement). This is especially misleading because user agents typically indicates to the user that they are on a secure page while initiating and completing a mixed download.
2. Key Concepts and Terminology
- mixed content
-
A request is mixed content if its URL is not a potentially trustworthy URL [SECURE-CONTEXTS] and the context responsible for
loading it prohibits mixed security contexts (see § 4.3 Does settings prohibit mixed security contexts? for a normative definition of the latter).
A response is mixed content if it is an unauthenticated response, and the context responsible for loading it requires prohibits mixed security contexts.
Inside a context that restricts mixed content (https://secure.example.com/
, for example):-
A request for the script
http://example.com/script.js
is mixed content. As script requests are blockable, the user agent will return a network error rather than loading the resource. -
A request for the image
http://example.com/image.png
is mixed content. As image requests are upgradeable, the user agent might rewrite the URL ashttps://example.com/image.png
, otherwise it will block the load.
Note: "Mixed content" was originally defined in section 5.3 of [WSC-UI]. This document updates that initial definition.
Note: [XML] also defines an unrelated "mixed content". concept. This is potentially confusing, but given the term’s near ubiquitious usage in a security context across user agents for more than a decade, the practical risk of confusion seems low.
-
- unauthenticated response
- We know a posteriori that a response (response) is unauthenticated if response’s URL is not a potentially trustworthy URL.
- embedding document
- Given a
Document
A, the embedding document of A is A’s browsing context's container document [HTML]. - mixed download
- A mixed download is a resource that a user agent handles as a download, which was initiated by a secure context but is downloaded over an insecure connection.
An a priori authenticated URL is equivalent to a potentially trustworthy URL [SECURE-CONTEXTS].
3. Content Categories
In a perfect world, each user agent would be required to block all mixed content without exception. Unfortunately, that is impractical on today’s Internet; a user agent needs to be more nuanced in its restrictions to avoid degrading the experience on a substantial number of websites.
With that in mind, we here split mixed content into two categories: § 3.1 Upgradeable Content and § 3.2 Blockable Content.
3.1. Upgradeable Content
Upgradeable content was previously referred to as optionally-blockable in [mixed-content]
Mixed content is upgradeable when the risk of allowing its usage as mixed content is outweighed by the risk of breaking significant portions of the web. This could be because mixed usage of the resource type is sufficiently high, and because the resource is low-risk in and of itself. The fact that these resource types are upgradeable does not mean that they are safe, simply that they’re less catastrophically dangerous than other resource types. For example, images and icons are often the central UI elements in an application’s interface. If an attacker reversed the "Delete email" and "Reply" icons, there would be real impact to users.
This category includes:
-
Requests whose initiator is the empty string, and whose destination is "
image
".Note: This corresponds to most images loaded via
img
(including SVG documents loaded as images, as those are blocked from executing script or fetching subresources) and CSS (background-image, border-image, etc). It does not includeimg
elements that use srcset or picture. -
Requests whose destination is "
video
".Note: This corresponds to video loaded via
video
andsource
. -
Requests whose destination is "
audio
".Note: This corresponds to audio loaded via
audio
andsource
.
We further limit this category in § 4.4 Should fetching request be blocked as mixed content? by force-failing any CORS-enabled
request. This means, for example, that mixed content images loaded via <img crossorigin ...>
will be blocked. This is a good example of the general principle that content falls into this
category only when it is too widely used to be blocked outright. The Working Group
intends to carve out more blockable subsets as time goes on.
3.2. Blockable Content
Any mixed content that is not upgradeable as defined above is considered to be blockable. Typical examples
of this kind of content include scripts, plugin data, data requested via XMLHttpRequest
, and so on.
Note: Navigation requests might target top-level browsing contexts; these are not considered mixed content. See § 4.4 Should fetching request be blocked as mixed content? for details.
Note: Note that requests made on behalf of a plugin are blockable. We recognize, however, that user agents aren’t always in a position to mediate these requests. NPAPI plugins, for instance, often have direct network access, and can generally bypass the user agent entirely. We recommend that user agents block these requests when possible, and that plugin vendors implement mixed content checking themselves to mitigate the risks outlined in this document.
4. Algorithms
4.1. Upgrade a mixed content request to a potentially trustworthy URL, if appropriate
Note: The Fetch specification will hook into this algorithm to upgrade upgradeable mixed content to HTTPS.
Given a Request request, this algorithm will rewrite its URL if the request is deemed to be upgradeable mixed content, via the following algorithm:
-
If one or more of the following conditions is met, return without modifying request:
- request’s URL is a potentially trustworthy URL.
- § 4.3 Does settings prohibit mixed security contexts? returns "
Does Not Restrict Mixed Security Contents
" when applied to request’s client. - request’s mode is
CORS
. - request’s destination is not "
image
", "audio
", or "video
". - request’s destination is "
image
" and request’s initiator is "imageset
".
-
If request’s URL’s scheme is
http
, set request’s URL’s scheme tohttps
, and return.Note: Per [url], we do not modify the port because it will be set to null when the scheme is
http
, and interpreted as 443 once the scheme is changed tohttps
4.2. Existing Mixed Content Algorithms and Modifications
Note: This section specifies modifications to existing mixed content algorithms to ignore the distinction between optionally-blockable and blockable mixed content, since all optionally-blockable mixed content will now be autoupgraded. Mixed Content § 5.3 Should fetching request be blocked as mixed content? and Mixed Content § 5.4 Should response to request be blocked as mixed content? are replaced by the versions below, while Mixed Content § 5.1 Does settings prohibit mixed security contexts? is left unmodified (but included below since this will replace the [mixed-content] spec).
section>
4.3. Does settings prohibit mixed security contexts?
Both documents and workers have environment settings objects which
may be examined according to the following algorithm in order to determine
whether they restrict mixed content. This algorithm returns "Prohibits Mixed Security Contexts
" or "Does Not Prohibit Mixed Security Contexts
",
as appropriate.
Given an environment settings object (settings):
-
If settings’ origin is a potentially trustworthy origin, then return "
Prohibits Mixed Security Contexts
". -
If settings has a responsible document document, then:
-
While document has an embedding document:
-
Set document to document’s embedding document.
-
Let embedder settings be document’s relevant settings object.
-
If embedder settings’ origin is a potentially trustworthy origin, then return "
Prohibits Mixed Security Contexts
".
-
-
-
Return "
Does Not Restrict Mixed Security Contexts
".
http://a.com
loads http://evil.com
. The
insecure request will be allowed, as a.com
was not loaded
over a secure connection. https://a.com
loads http://evil.com
. The
insecure request will be blocked, as a.com
was loaded over
a secure connection. 4.4. Should fetching request be blocked as mixed content?
Note: The Fetch specification hooks into this algorithm to determine whether a request should be entirely blocked (e.g. because the request is for blockable content, and we can assume that it won’t be loaded over a secure connection).
Given a Request request, a user agent determines whether the Request request should proceed or not via the following algorithm:
-
Return allowed if one or more of the following
conditions are met:
- § 4.3 Does settings prohibit mixed security contexts? returns "
Does Not Restrict Mixed Security Contexts
" when applied to request’s client. - request’s URL is a potentially trustworthy URL.
- The user agent has been instructed to allow mixed content, as described in § 7.2 User Controls).
-
request’s destination is
"
document
", and request’s target browsing context has no parent browsing context.Note: We exclude top-level navigations from mixed content checks, but user agents MAY choose to enforce mixed content checks on insecure form submissions (see § 7.1 Form Submission).
- § 4.3 Does settings prohibit mixed security contexts? returns "
- Return blocked.
4.5. Should response to request be blocked as mixed content?
Note: If a request proceeds, we still might want to block the response based on the state of the connection that generated the response (e.g. because the request is blockable, but the connection is unauthenticated), and we also need to ensure that a Service Worker doesn’t accidentally return an unauthenticated response for a blockable request. This algorithm is used to make that determination.
Given a request request and response response, the user agent determines what response should be returned via the following algorithm:
-
Return allowed if one or more of the following
conditions are met:
- § 4.3 Does settings prohibit mixed security contexts? returns
Does Not Restrict Mixed Content
when applied to request’s client. - response’s url is a potentially trustworthy URL.
- The user agent has been instructed to allow mixed content, as described in § 7.2 User Controls).
-
request’s destination is
"
document
", and request’s target browsing context has no parent browsing context.Note: We exclude top-level navigations from mixed content checks, but user agents MAY choose to enforce mixed content checks on insecure form submissions (see § 7.1 Form Submission).
- § 4.3 Does settings prohibit mixed security contexts? returns
- Return blocked.
5. Integrations
5.1. Modifications to Fetch
Fetch Standard § 4.1 Main fetch should be modified to call § 4.1 Upgrade a mixed content request to a potentially trustworthy URL, if appropriate on request between steps 3 and 4. That is, upgradeable mixed content should be autoupgraded to HTTPS before applying mixed content blocking.
5.2. Modifications to HTML
Process a navigate response should be modified as follows. Step 3 should abort the download and return if source’s active document’s URL is a potentially trustworthy URL and any URL in response’s URL list is not a potentially trustworthy URL.
A similar change should be made to download the hyperlink. In this algorithm, step 6.2 should be modified to return (aborting the download) if subject’s node document’s URL is a potentially trustworthy URL and any URL in response’s URL list is not a potentially trustworthy URL (where response is the result of fetching request).
Note: Downloads are not autoupgraded like other types of mixed content, because the user agent does not always know before requesting a resource that it will be downloaded.
Note: Resources are downloaded before the user agent decides whether to abort them based on an insecure connection. Sensitive information may therefore traverse the network even though the user agent eventually blocks the download. This is generally unavoidable because the user agent may not know that a resource is to be downloaded until it receives the final response, but by blocking the resource, user agents will encourage website operators to serve downloads over secure connections.
6. Obsolescences
6.1. Strict Mixed Content Checking
This specification renders the Mixed Content § 4 Strict Mixed Content Checking mode and
the block-all-mixed-content
CSP directive obsolete,
because all mixed content is now blocked if it can’t be autoupgraded.
Note: The upgrade-insecure-requests
([upgrade-insecure-requests]) directive is not
obsolete because it allows developers to upgrade blockable content. This specification only
upgrades upgradeable content by default.
6.2. Mixed Content
This specification renders the [mixed-content] specification obsolete, and replaces it.
7. Security and Privacy Considerations
Overall, autoupgrading upgradeable mixed content is expected to be security- and privacy-positive, by protecting more user traffic from network eavesdropping and tampering.
There is a risk of introducing a security or privacy issue in a webpage by loading a resource that
the developer did not intend. For example, suppose that a website includes an innocuous image
from http://www.example.com/image.jpg
, and for some
reason https://www.example.com/image.jpg
redirects to a tracking site. The browser
will now have introduced a privacy issue without the developer’s or user’s explicit
consent. However, these cases are expected to be exceedingly rare. The risk is mitigated by
autoupgrading only upgradeable content, not blockable content as well. Blockable content
could present more risk, for example the risk of loading an out-of-date and vulnerable JavaScript
library.
7.1. Form Submission
If § 4.3 Does settings prohibit mixed security contexts? returns Restricts Mixed Content
when applied to a Document
's relevant settings object, then a user agent MAY choose to warn users of the
presence of one or more form
elements with action attributes whose
values are not potentially trustworthy URLs.
A user agent MAY choose to warn users on submission of a form
element with action attributes whose values are not potentially trustworthy URLs
and allow users to abort the submission. If a user agent warns on form
element
submissions to not potentially trustworthy URLs, it SHOULD also warn and allow users to
abort the submission if upon submission, the form
element’s action, redirects to a
non potentially trustworthy URL, exposing the form
information.
Further, a user agent MAY treat form submissions from such a Document
as a blockable request, even if the submission occurs in the top-level browsing context.
7.2. User Controls
A user agent MAY offer users the ability to override its decision to block blockable mixed content on a particular page.Note: Practically, a user agent probably can’t get away with not offering such a back door. That said, allowing mixed script is in particular a very dangerous option, and each user agent REALLY SHOULD NOT [RFC6919] present such a choice to users without careful consideration and communication of the risk involved.
A user agent MAY offer users the ability to override its decision to automatically upgrade upgradeable mixed content on a particular page.
Any such controls offered by a user agent MUST also be offered through accessibility APIs for users of assistive technologies.
8. Acknowledgements
In addition to the wonderful feedback gathered from the WebAppSec WG, the Chrome security team was invaluable in preparing this specification. In particular, Chris Palmer, Chris Evans, Ryan Sleevi, Michal Zalewski, Ken Buchanan, and Tom Sepez gave lots of early feedback. Anne van Kesteren explained Fetch, helped define the interface to this specification, and provided valuable feedback on the Level 2 update. Brian Smith helped keep the spec focused, trim, and sane.


 I like to strive for greatness, I wan't to be successful but I know that I can only do so much, something has to eventually be sacrified. In this completely crazy world of competition, you ain't going nowhere if you're second best. Glimpses of fun are all you get to see, For God's sake, you better not be getting lower than 90%! I'm not perfect, I'm not invincible but I don't want to give anything up. But there's so many things that I want to change. I'mnot superhuman and I'm not sure of my destiny, the options are overwhelming, the world is so intimidating! I'll try to make the right choices when it really matters, it's up to me to do the best with what happens, to be the best I can be with what I've been given.
Everything it changes, but in so many ways it don't, no it don't. I know what I can always start over, but some things are with you forever. There's certain things I would never leave behind.
And then there's also those painful memoeries that will always be in the back of my mind. What kind of world wouild we be in if everything stayed the same forever? How could anyone grow if nothig ever changed. If time seemed to never change, my life felt like it stopped, I would be the onle one to glame if I forced my life to stay the same. Truth however forces me to see reason, it's impossible, not worth it at all. It's a part of life, don't try to fight, you've got to keep living your life.


|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
#include <ql/models/marketmodels/callability/exercisevalue.hpp>
Public Member Functions | |
| virtual | ~MarketModelExerciseValue ()=default |
| virtual Size | numberOfExercises () const =0 |
| virtual const EvolutionDescription & | evolution () const =0 |
| virtual std::vector< Time > | possibleCashFlowTimes () const =0 |
| virtual void | nextStep (const CurveState &)=0 |
| virtual void | reset ()=0 |
| virtual std::valarray< bool > | isExerciseTime () const =0 |
| virtual MarketModelMultiProduct::CashFlow | value (const CurveState &) const =0 |
| virtual std::unique_ptr< MarketModelExerciseValue > | clone () const =0 |
Definition at line 35 of file exercisevalue.hpp.
|
virtualdefault |
|
pure virtual |
Implemented in BermudanSwaptionExerciseValue, and NothingExerciseValue.
|
pure virtual |
Implemented in BermudanSwaptionExerciseValue, and NothingExerciseValue.
|
pure virtual |
Implemented in BermudanSwaptionExerciseValue, and NothingExerciseValue.
|
pure virtual |
Implemented in BermudanSwaptionExerciseValue, and NothingExerciseValue.
|
pure virtual |
Implemented in BermudanSwaptionExerciseValue, and NothingExerciseValue.
|
pure virtual |
Implemented in BermudanSwaptionExerciseValue, and NothingExerciseValue.
|
pure virtual |
Implemented in BermudanSwaptionExerciseValue, and NothingExerciseValue.
|
pure virtual |
Implemented in BermudanSwaptionExerciseValue, and NothingExerciseValue.


REQUIEM FOR A DREAM (director/writer: Darren Aronofsky; screenwriters: Hubert Selby Jr/from the novel of Hubert Selby Jr; cinematographer: Matthew Libatique; editor: Jay Rabinowitz; cast: Ellen Burstyn (Sara Goldfarb), Jared Leto (Harry Goldfarb), Jennifer Connelly (Marion Silver), Marlon Wayans (Tyrone C. Love), Christopher McDonald (Tappy Tibbons), Louise Lasser (Ada), Sean Gullette (Arnold the Shrink), Keith David (Big Tim); Runtime: 100; Artisan Entertainment; 2000)
Reviewed by Dennis Schwartz
A slickly done, very depressive melodrama about those addicted to drugs and their dreams of happiness.  That is shown to be as deadly an addictive and as dangerous a one as any junkie's high.
Darren Aronofsky's (Pi) adaptation of Hubert Selby Jr.'s novel of the forlorn, is given an image transfusion on the screen that belies the fact that the addicts can't kick their habit and what we are forced to see are their elusive visions and the wretched futility that unfolds for them. It's a film that has excellent performances, especially, the brilliant one by Ellen Burstyn, as the pill popping old lady who morbidly changes her appearance for the worst after taking diet pills. She plays Sara Goldfarb (Ellen Burstyn) -- a Brighton Beach widow living alone but obsessed with her only son. Her life is so empty that she spends her time either watching TV game shows, staring at her refrigerator, or sunning herself outside her apartment building with her elderly women neighbors. She's overwhelmed that she's been selected as a possible contestant on a game show, and decides that she's too fat and must slim down to get into her favorite red dress she wore to her son's graduation. She wants to impress the TV audience with her successful son and how good she looks, and that motivates her to see a doctor who prescribes amphetamines of different colors four times daily and within a month she loses 25 pounds.  His series of misfortunes will culminate in his arm turning into a deep purple infection. In the climax scene, both mother and son are hospitalized as a result of their dreams turning into nightmares.
Aronofsky stylishly uses his camera to make us feel the internal grief of those who are looking for an easy way out of their empty lives. It's not an easy film to find comfort in, or feel anything but revulsion at the sight of the constant degradation of human beings taking place. It's also not an easy film to enjoy or to find any insights it has about drug addictions that are fresh. What continually sparkles for this film, is the way the mother-son relationship smacks of reality and how protective they are of each other despite being unable to communicate with each other. The best scenes in the film were when either Harry or Sara were reaching out to the other to send out messages of hope. The heaviest scenes were also the most creative ones, showing in montages the constant barrage of their wants and how twisted they were inside. Mother's refrigerator talks to her and gets her into a dizzying speedy motion as she moves about her empty apartment, while her son is shown coming down from his heroin highs and settling into a despondent mood.
Harry has fallen in love with his girlfriend, Marion Silver (Jennifer Connelly), whom he knew from his childhood days in Brooklyn. Their love and hopes for marital bliss is built around the possibility that he could score a big drug deal with his equally ambitious black partner and best friend, Ty (Marlon Wayans), and become financially secure. The young men can't see themselves growing old and still being small time hustlers and junkies, as they pin all their hopes on a big drug killing.
In the process, Harry degrades himself and Marion. When he needs money to score his drug product, he has no qualms asking Marion to sleep with her former therapist Arnold (Gullette-he starred in the director's "Pi"), someone she reviles as a sleaze bag.
By the film's end, not much substance came through all the stylishly and graphically depressing experiences the four main characters underwent; what I mostly felt was tired from their actions and not wanting to see any more of their hellish experiences. It's a movie where the first half of it was clearly more subtle and better done than the more morbid and predictable second half. I can applaud the director for his visual style of filmmaking and the actors for giving voice to their characters on the screen in a realistic way, but the story of four losers who can't get out of Brooklyn still seems very ordinary despite all the high gloss attached to it.
REVIEWED ON 6/22/2001 GRADE: C
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


A Wizard By Any Other Name
An exploration of Ruby Classes through Hogwarts
Wednesday May 6th, 2015
A Wizard is a person.
Not much separates a wizard from a muggle, anatomically speaking. They both are vaguely human, have a sex, have names, and some number of distinguishing characteristics. Thus the first thing that we have to do to model them is define what method/attributes a person should have.
require 'date'
class Person
attr_reader :name, :sex, :physical_characteristics, :birthday
@@population = 0
def initialize name, sex, birth, char={body: "bland"}
@name = name
@sex = sex
@physical_characteristics = char
@birthday = birth
@@population +=1
end
def small_talk string
puts "Hello, #{string}."
end
def pop
@@population
end
end
A very basic person class, but sufficient for our purposes. A person can be created, with all of the Attributes we'd expect, and can even do what muggles do best, which is talk. For example:
uncle_vernon = Person.new("Vernon Dursley", :male, Date.new(1950,2,2), hair:"blond", weight: 250, mustache: true)
uncle_vernon.name
=> "Vernon Dursley"
uncle_vernon.small_talk("there'll be no funny business")
=>"Hello, there'll be no funny business"
uncle_vernon.pop
=> 1
But Muggles suck, we want Wizards!
It is true that we weren't trying to create muggles, but now we have a backbone to build our Wizard class from, the person class. We do this in the class definition using a "<" less-than carrot.
class Wizard < Person
end
harry = Wizard.new("Harry Potter", :male, Date.new(1986,7,14),
hair:"black", weight: 70, scar: true)
Now we have something going! We have made a wizard, sure, Hagrid hasn't told him yet, but he is an instance of the Wizard class. He has all of the instance variables that a person does, name, birthday, etc. and all of the muggle methods, namely small_talk. Earlier, we had Person add 1 to its class variable, @@population when ever a person was created. We could naturally assume that Wizard would act the same way and the Wizard population would be one at this point.
harry.pop
=> 2
What happened? Here is a good example of class variables. Class variables are the same variable for the class and all decendants of that class, and all instances of those decendants. When Harry was created, @@population in the Person class was incremented once.
Finishing up the Wizard Class
Now we can add a few wizard specific attributes (instance variables) and methods.
class Wizard < Person
attr_accessor :wand, :house, :broom
def cast spell
puts "#{spell.upcase}!!!"
end
end
harry.wand = "pheonix feather"
harry.house = "Griffindor"
harry.broom = "Nimbus 2000"
p harry
=><\Wizard:0x007ffbdd011608 @name="Harry Potter", @sex=:male, @physical_characteristics=
{:hair=>"black", :weight=>70, :scar=>true}, @birthday=#,
@wand="pheonix feather", @house="Griffindor", @broom="Nimbus 2000">
harry.cast("Expelliarmus")
=>"EXPELLIARMUS!!"
Here we see our final instance variables, and instance method playing out. Harry goes to Diagon Alley and gets his pheonix feather wand, then the sorting hat puts him in Griffindor, and finally, Prof. McGonagle gives him a Nimbus 2000. These are all stored as instance variables through the attr_accessor short hand. Finally, he learns his favorite spell, and screams it out to disarm Snape! EXPELLIARMUS!
I hope you found my demonstration of classes, class variables, instance variables, instance methods, getter/setter shorthand, and Potter-Fandom instructive. If you have any questions or corrections, reach out on twitter, @fluke_adam.


|
BitMagic-C++
|
bit-block array wrapped into union for correct interpretation of 32-bit vs 64-bit access vs SIMD More...
#include <bmutil.h>
Data Structures | |
| union | bunion_t |
Public Member Functions | |
| operator bm::word_t * () | |
| operator const bm::word_t * () const | |
| operator bm::id64_t * () | |
| operator const bm::id64_t * () const | |
| operator __m128i * () | |
| operator const __m128i * () const | |
| const bm::word_t * | begin () const |
| bm::word_t * | begin () |
| const bm::word_t * | end () const |
| bm::word_t * | end () |
Data Fields | |
| union bm::bit_block_t::bunion_t | b_ |
bit-block array wrapped into union for correct interpretation of 32-bit vs 64-bit access vs SIMD
|
inline |
|
inline |
|
inline |
Definition at line 93 of file bmutil.h.
References b_, and bm::set_block_size.
|
inline |
Definition at line 94 of file bmutil.h.
References b_, and bm::set_block_size.
|
inlineexplicit |
|
inlineexplicit |
|
inline |
|
inlineexplicit |
|
inlineexplicit |
|
inline |
| union bm::bit_block_t::bunion_t bm::bit_block_t::b_ |


All pizzas come with Farmer's Cheese and Home-Made Tomato Sauce by default.
Sizes: Hobbit ... $8.99 Dwarf ... $11.99 King ... $14.99 Uruk-Hai ... $17.99 Cave Troll ... $19.99
Dunland Hand-Pulled MozzarellaMisty Mountain Goat CheeseBrandyBuck Melty Brie
Spicy Isengard Heirloom SauceA Smothering of GravyHaradim Curry Sauce
Samwise TatersBuckland MushroomsForaged Mirkwood GreensFarmer Maggot's Carrots
Balin's Spiced BeefBilbo's Boiled Chicken
Substitute a premium cheese:
Substitute a premium sauce:
Choose your toppings:
Choose your meats:
Your current pizza will cost: $
Your current pizza is a size with cheese, sauce, toppings, and meats.
Your running total is: $
The total cost comes out to: $


Quality houses are being constructed
Will provide water to district, says Harish
by Special CorrespondentFinance Minister T. Harish Rao said that quality is being ensured in the double bedroom houses being constructed for the poor in the State. Further, the government is providing infrastructure facilities on par with urban areas to the residents of these colonies.
Addressing a gathering of beneficiaries after handing over some 150 double bedroom houses at Singur in Pulkal mandal along with MLA Ch. Kranthi Kiran on Friday, Mr. Harish Rao said that the houses were built at a total cost of ₹ 7.56 crore in G plus two model and an amount of ₹ 1.86 crore was spent on providing infrastructure facilities.
The blocks were named after leaders like Kaloji Narayanan Rao, Prof. Jayashankar, Vidyasagar Rao and Chakali Ailamma. Mr. Harish Rao also participated in several development programmes in the area.
Later speaking to reporters, the Minister said that alternative arrangements were being made to supply water to the district as there was only 1.9 tmcft water in Singur.
“Water from Kaleswaram would be brought to Singur in the next two years. We will provide irrigation and drinking water to Andol, Zaheerabad and Sangareddy,” said Mr. Harish Rao.


ok, next ones
cc/oracles.cpp: In function ‘int64_t correlate_price(int32_t, int64_t*, int32_t)’:
cc/oracles.cpp:442:12: error: control reaches end of non-void function [-Werror=return-type]
fprintf(stderr,"-> %llu ht.%d\n",(long long)price,height);
~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
and
cc/channels.cpp: In function ‘UniValue ChannelsInfo(uint256)’:
cc/channels.cpp:751:42: error: ‘%s’ directive writing up to 255 bytes into a region of size between 224 and 243 [-Werror=format-overflow=]
sprintf(str1,"%lld satoshi to %s, %lld payments left",(long long)(param2*payment),str2,(long long)param1);
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~
cc/channels.cpp:751:42: note: directive argument in the range [-2147483648,<PHONE_NUMBER>]
and
cc/channels.cpp:762:38: error: ‘%s’ directive writing up to 255 bytes into a region of size between 219 and 238 [-Werror=format-overflow=]
sprintf(str1,"%lld satoshi back to %s",(long long)(param1*param2),str2);
^~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~


image¶
Image class and relative functions
Defines the Image class and functions that operate on it.
CLASSES¶
- Image
Subclass of numpy ndarray. Has the additional attribute properties which contains the properties used to generate it as a list of dicts.
Functions¶
- pad_image_to_fft(image: Image, axes = (0, 1))
Pads the image with zeros to optimize the speed of Fast Fourier Transforms.
Module classes¶
Image¶
-
class
deeptrack.image.
Image
¶ Subclass of numpy ndarray
The class Image is used by features to resolve images and store the current values of the properties of each feature in the feature series. These properties are stored in the field properties as a list of dictionaries, in the same order as that in which the features have been evaluated.
The field properties is used to store and extract information about how an image has been generated.
- Parameters
- input_arrayarray_like
An array_like object that is used to instantiate the ndarray.
- propertieslist of dicts, optional
Optional parameter to set as the initial value for the field properties.
- Attributes
- propertieslist
List of dictionaries of the current value of all properties of the features used to resolve the image.
Methods
all
([axis, out, keepdims])Returns True if all elements evaluate to True.
any
([axis, out, keepdims])Returns True if any of the elements of a evaluate to True.
append
(property_dict)Appends a dictionary to the properties list.
argmax
([axis, out])Return indices of the maximum values along the given axis.
argmin
([axis, out])Return indices of the minimum values along the given axis of a.
argpartition
(kth[, axis, kind, order])Returns the indices that would partition this array.
argsort
([axis, kind, order])Returns the indices that would sort this array.
astype
(dtype[, order, casting, subok, copy])Copy of the array, cast to a specified type.
byteswap
([inplace])Swap the bytes of the array elements
choose
(choices[, out, mode])Use an index array to construct a new array from a set of choices.
clip
([min, max, out])Return an array whose values are limited to
[min, max]
.compress
(condition[, axis, out])Return selected slices of this array along given axis.
conj
()Complex-conjugate all elements.
conjugate
()Return the complex conjugate, element-wise.
copy
([order])Return a copy of the array.
cumprod
([axis, dtype, out])Return the cumulative product of the elements along the given axis.
cumsum
([axis, dtype, out])Return the cumulative sum of the elements along the given axis.
diagonal
([offset, axis1, axis2])Return specified diagonals.
dot
(b[, out])Dot product of two arrays.
dump
(file)Dump a pickle of the array to the specified file.
dumps
()Returns the pickle of the array as a string.
fill
(value)Fill the array with a scalar value.
flatten
([order])Return a copy of the array collapsed into one dimension.
get_property
(key[, get_one, default])Retrieve a property.
getfield
(dtype[, offset])Returns a field of the given array as a certain type.
item
(*args)Copy an element of an array to a standard Python scalar and return it.
itemset
(*args)Insert scalar into an array (scalar is cast to array’s dtype, if possible)
max
([axis, out, keepdims, initial, where])Return the maximum along a given axis.
mean
([axis, dtype, out, keepdims])Returns the average of the array elements along given axis.
merge_properties_from
(other)Merge properties with those from another Image.
min
([axis, out, keepdims, initial, where])Return the minimum along a given axis.
newbyteorder
([new_order])Return the array with the same data viewed with a different byte order.
nonzero
()Return the indices of the elements that are non-zero.
partition
(kth[, axis, kind, order])Rearranges the elements in the array in such a way that the value of the element in kth position is in the position it would be in a sorted array.
prod
([axis, dtype, out, keepdims, initial, …])Return the product of the array elements over the given axis
ptp
([axis, out, keepdims])Peak to peak (maximum - minimum) value along a given axis.
put
(indices, values[, mode])Set
a.flat[n] = values[n]
for all n in indices.ravel
([order])Return a flattened array.
repeat
(repeats[, axis])Repeat elements of an array.
reshape
(shape[, order])Returns an array containing the same data with a new shape.
resize
(new_shape[, refcheck])Change shape and size of array in-place.
round
([decimals, out])Return a with each element rounded to the given number of decimals.
searchsorted
(v[, side, sorter])Find indices where elements of v should be inserted in a to maintain order.
setfield
(val, dtype[, offset])Put a value into a specified place in a field defined by a data-type.
setflags
([write, align, uic])Set array flags WRITEABLE, ALIGNED, (WRITEBACKIFCOPY and UPDATEIFCOPY), respectively.
sort
([axis, kind, order])Sort an array in-place.
squeeze
([axis])Remove single-dimensional entries from the shape of a.
std
([axis, dtype, out, ddof, keepdims])Returns the standard deviation of the array elements along given axis.
sum
([axis, dtype, out, keepdims, initial, where])Return the sum of the array elements over the given axis.
swapaxes
(axis1, axis2)Return a view of the array with axis1 and axis2 interchanged.
take
(indices[, axis, out, mode])Return an array formed from the elements of a at the given indices.
tobytes
([order])Construct Python bytes containing the raw data bytes in the array.
tofile
(fid[, sep, format])Write array to a file as text or binary (default).
tolist
()Return the array as an
a.ndim
-levels deep nested list of Python scalars.tostring
([order])A compatibility alias for tobytes, with exactly the same behavior.
trace
([offset, axis1, axis2, dtype, out])Return the sum along diagonals of the array.
transpose
(*axes)Returns a view of the array with axes transposed.
var
([axis, dtype, out, ddof, keepdims])Returns the variance of the array elements, along given axis.
view
([dtype][, type])New view of array with the same data.
-
append
(property_dict)¶ Appends a dictionary to the properties list.
- Parameters
- property_dictdict
A dictionary to append to the property list. Most commonly the current values of the properties of a feature.
- Returns
- Image
Returns itself.
-
get_property
(key, get_one=True, default=None)¶ Retrieve a property.
If the feature has the property defined by key, return its current_value. Otherwise, return default. If get_one is True, the first instance is returned; otherwise, all instances are returned as a list.
- Parameters
- key
The name of the property.
- get_one: optional
Whether to return all instances of that property or just the first.
- defaultoptional
What is returned if the property is not found.
- Returns
- any
The value of the property if found, else default.
-
merge_properties_from
(other)¶ Merge properties with those from another Image.
Appends properties from another images such that no property is duplicated. Uniqueness of a dictionary of properties is determined from the property hash_key.
Most functions involving two images should automatically output an image with merged properties. However, since each property is guaranteed to be unique, it is safe to manually call this function if there is any uncertainty.
- Parameters
- other
The Image to retrieve properties from.


|
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Produces OutboundRequest
instances to use for attempting to
send a particular request to a remote communication endpoint.
As long as hasNext
returns true
,
the next
method can be invoked to initiate an attempt
to make the request. If successful, the next
method
returns an OutboundRequest
to use to write the request
data and read the response.
If the request communication attempt fails, such as if the
next
invocation throws an exception or if a subsequent
I/O operation on the returned OutboundRequest
or its
streams throws an exception, then if hasNext
returns
true
again, the next
method can be
invoked again to retry the request attempt. This process of
retrying failed request attempts can repeat as long as
hasNext
returns true
after the previous
failed request attempt.
Note that it is the user's responsibility to abstain from
retrying a request attempt if doing so might violate any applicable
guarantees of at most once execution semantics (invoking
getDeliveryStatus
on the
previous OutboundRequest
might aid in making that
determination).
A typical OutboundRequestIterator
is likely to
support making only one request attempt, in which case after one
invocation of next
(successful or not),
hasNext
will return false
. Reasons that
an OutboundRequestIterator
might support multiple
request attempts include:
hasNext
method should not return true
after successive failed request attempts indefinitely. The request
retry mechanism provided by OutboundRequestIterator
is
not intended for implementing a strategy of general retry of the
same communication mechanism after indeterminate failures.
Note that it is permitted, although unlikely, for an
OutboundRequestIterator
's hasNext
method
to never return true
, in which case the
OutboundRequestIterator
does not support initiating
even one attempt to send the request.
An OutboundRequestIterator
is not guaranteed to be
safe for concurrent use by multiple threads.
Endpoint
| Method Summary | |
boolean |
hasNext()
Returns true if this iterator supports making at
least one more attempt to communicate the request, and
false otherwise.
|
OutboundRequest |
next()
Initiates an attempt to communicate the request to the remote endpoint. |
| Method Detail |
public boolean hasNext()
true
if this iterator supports making at
least one more attempt to communicate the request, and
false
otherwise.
If this method returns true
, then it is
guaranteed that the next invocation of next
on
this iterator will not throw a NoSuchElementException
.
If next
has been invoked on this iterator and
the previous invocation of next
returned an
OutboundRequest
, then this method should not be
invoked until that OutboundRequest
has been used
to attempt to communicate the request and a failure has
occurred.
The security context in which this method is invoked may be
used for subsequent verification of security permissions; see
the next
method specification for more details.
true
if this iterator supports making
another attempt to communicate the request, and
false
otherwisepublic OutboundRequest next() throws IOException
After an invocation of hasNext
returns
true
, it is guaranteed that the next invocation of
this method will not throw a NoSuchElementException
.
If successful, this method returns an
OutboundRequest
to use to write the request data
and read the response. Even if this method throws an IOException
or a SecurityException
, the iteration of
attempts to communicate the request may continue with another
invocation of hasNext
.
The implementation verifies that the user's security context
has all of the security permissions necessary to communicate
the current request attempt with the remote endpoint and to
satisfy any required constraints, as appropriate to the
implementation of this interface. The implementation is
allowed, however, to indicate failure of such a permission
check by either throwing a SecurityException
from
this method or, after returning an OutboundRequest
from this method, throwing a SecurityException
from some subsequent operation on the
OutboundRequest
or its streams. If such a
SecurityException
is thrown, request data must not
have been transmitted to the server (that is, if an
OutboundRequest
has been returned, its getDeliveryStatus
method
must return false
), and the client's identity must
not have been revealed to the server.
Also, the implementation of this method or the returned
OutboundRequest
must eventually verify that the
client and server have the requisite principals and credentials
to satisfy any required constraints and if not, throw an
IOException
. If such an IOException
is thrown, request data must not have been transmitted to the
server.
In verifying any such permission requirement or credential,
the implementation is allowed to use the security context in
effect for this or any previous invocation of a method on this
iterator or the security context in effect for any operation on
the OutboundRequest
returned by this or any
previous invocation of this method on this iterator.
Therefore, this iterator and the OutboundRequest
instances that it produces should be used in a uniform security
context.
OutboundRequest
to use to write the
request data and read the response
NoSuchElementException
- if this iterator does not
support making another attempt to communicate the request (that
is, if hasNext
would return false
)
IOException
- if an I/O exception occurs while performing
this operation; in this event, the recipient may have received
an indication of the request initiation attempt
SecurityException
- if the user does not have the
permissions necessary to communicate with the remote endpoint
|
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


|
Panda3D
|
An optional parameter associated with an event. More...
Public Member Functions | |
| __init__ () | |
| __init__ (const EventParameter copy) | |
| __init__ (const TypedReferenceCount ptr) | |
| Defines an EventParameter that stores a pointer to a TypedReferenceCount object. More... | |
| __init__ (const TypedWritableReferenceCount ptr) | |
| Defines an EventParameter that stores a pointer to any kind of TypedWritableReferenceCount object. More... | |
| __init__ (double value) | |
| Defines an EventParameter that stores a floating-point value. More... | |
| __init__ (int value) | |
| Defines an EventParameter that stores an integer value. More... | |
| __init__ (nullptr_t) | |
| __init__ (str value) | |
| Defines an EventParameter that stores a string value. More... | |
| __init__ (str value) | |
| Defines an EventParameter that stores a wstring value. More... | |
| double | getDoubleValue () |
| Retrieves the value stored in the EventParameter. More... | |
| int | getIntValue () |
| Retrieves the value stored in the EventParameter. More... | |
| TypedWritableReferenceCount | getPtr () |
| Retrieves a pointer to the actual value stored in the parameter. More... | |
| str | getStringValue () |
| Retrieves the value stored in the EventParameter. More... | |
| TypedReferenceCount | getTypedRefCountValue () |
| Retrieves the value stored in the EventParameter. More... | |
| str | getWstringValue () |
| Retrieves the value stored in the EventParameter. More... | |
| bool | isDouble () |
| Returns true if the EventParameter stores a double floating-point value, false otherwise. More... | |
| bool | isEmpty () |
| bool | isInt () |
| Returns true if the EventParameter stores an integer value, false otherwise. More... | |
| bool | isString () |
| Returns true if the EventParameter stores a string value, false otherwise. More... | |
| bool | isTypedRefCount () |
| Returns true if the EventParameter stores a TypedReferenceCount pointer, false otherwise. More... | |
| bool | isWstring () |
| Returns true if the EventParameter stores a wstring value, false otherwise. More... | |
| EventParameter | operator= (const EventParameter copy) |
| output (Ostream out) | |
An optional parameter associated with an event.
Each event may have zero or more of these. Each parameter stores a pointer to a TypedWritableReferenceCount object, which of course could be pretty much anything. To store a simple value like a double or a string, the EventParameter constructors transparently use the ParamValue template class from paramValue.h.
| __init__ | ( | ) |
| __init__ | ( | const EventParameter | copy | ) |
| __init__ | ( | const TypedReferenceCount | ptr | ) |
Defines an EventParameter that stores a pointer to a TypedReferenceCount object.
Note that a TypedReferenceCount is not the same kind of pointer as a TypedWritableReferenceCount, hence we require both constructors.
This accepts a const pointer, even though it stores (and eventually returns) a non-const pointer. This is just the simplest way to allow both const and non-const pointers to be stored, but it does lose the constness. Be careful.
| __init__ | ( | const TypedWritableReferenceCount | ptr | ) |
Defines an EventParameter that stores a pointer to any kind of TypedWritableReferenceCount object.
This is the most general constructor.
This accepts a const pointer, even though it stores (and eventually returns) a non-const pointer. This is just the simplest way to allow both const and non-const pointers to be stored, but it does lose the constness. Be careful.
| __init__ | ( | double | value | ) |
Defines an EventParameter that stores a floating-point value.
| __init__ | ( | int | value | ) |
Defines an EventParameter that stores an integer value.
| __init__ | ( | nullptr_t | ) |
| __init__ | ( | str | value | ) |
Defines an EventParameter that stores a string value.
| __init__ | ( | str | value | ) |
Defines an EventParameter that stores a wstring value.
| double getDoubleValue | ( | ) |
Retrieves the value stored in the EventParameter.
It is only valid to call this if is_double() has already returned true.
| int getIntValue | ( | ) |
Retrieves the value stored in the EventParameter.
It is only valid to call this if is_int() has already returned true.
| TypedWritableReferenceCount getPtr | ( | ) |
Retrieves a pointer to the actual value stored in the parameter.
The TypeHandle of this pointer may be examined to determine the actual type of parameter it contains. This is the only way to retrieve the value when it is not one of the above predefined types.
| str getStringValue | ( | ) |
Retrieves the value stored in the EventParameter.
It is only valid to call this if is_string() has already returned true.
| TypedReferenceCount getTypedRefCountValue | ( | ) |
Retrieves the value stored in the EventParameter.
It is only valid to call this if is_typed_ref_count() has already returned true.
| str getWstringValue | ( | ) |
Retrieves the value stored in the EventParameter.
It is only valid to call this if is_wstring() has already returned true.
| bool isDouble | ( | ) |
Returns true if the EventParameter stores a double floating-point value, false otherwise.
| bool isEmpty | ( | ) |
| bool isInt | ( | ) |
Returns true if the EventParameter stores an integer value, false otherwise.
| bool isString | ( | ) |
Returns true if the EventParameter stores a string value, false otherwise.
| bool isTypedRefCount | ( | ) |
Returns true if the EventParameter stores a TypedReferenceCount pointer, false otherwise.
Note that a TypedReferenceCount is not exactly the same kind of pointer as a TypedWritableReferenceCount, hence the need for this separate call.
| bool isWstring | ( | ) |
Returns true if the EventParameter stores a wstring value, false otherwise.
| EventParameter operator= | ( | const EventParameter | copy | ) |
| output | ( | Ostream | out | ) |


| lavaan-class {lavaan} | R Documentation |
The lavaan
class represents a (fitted) latent variable
model. It contains a description of the model as specified by the user,
a summary of the data, an internal matrix representation, and if the model
was fitted, the fitting results.
Objects can be created via the
cfa
, sem
, growth
or
lavaan
functions.
version
:The lavaan package version used to create this objects
call
:The function call as returned by match.call()
.
timing
:The elapsed time (user+system) for various parts of the program as a list, including the total time.
Options
:Named list of options that were provided by the user, or filled-in automatically.
ParTable
:Named list describing the model parameters. Can be coerced to a data.frame. In the documentation, this is called the ‘parameter table’.
pta
:Named list containing parameter table attributes.
Data
:Object of internal class "Data"
: information
about the data.
SampleStats
:Object of internal class "SampleStats"
: sample
statistics
Model
:Object of internal class "Model"
: the
internal (matrix) representation of the model
Cache
:List using objects that we try to compute only once, and reuse many times.
Fit
:Object of internal class "Fit"
: the
results of fitting the model. No longer used.
boot
:List. Results and information about the bootstrap.
optim
:List. Information about the optimization.
loglik
:List. Information about the loglikelihood of the model (if maximum likelihood was used).
implied
:List. Model implied statistics.
vcov
:List. Information about the variance matrix (vcov) of the model parameters.
test
:List. Different test statistics.
h1
:List. Information about the unrestricted h1 model (if available).
baseline
:List. Information about a baseline model (often the independence model) (if available).
external
:List. Empty slot to be used by add-on packages.
signature(object = "lavaan", type = "free")
: Returns
the estimates of the parameters in the model as a named numeric vector.
If type="free"
, only the free parameters are returned.
If type="user"
, all parameters listed in the parameter table
are returned, including constrained and fixed parameters.
signature(object = "lavaan")
: Returns the
implied moments of the model as a list with two elements (per group):
cov
for the implied covariance matrix,
and mean
for the implied mean
vector. If only the covariance matrix was analyzed, the implied mean
vector will be zero.
signature(object = "lavaan")
: an alias for
fitted.values
.
signature(object = "lavaan", type="raw")
:
If type = "raw"
, this function returns the raw (= unscaled)
difference between the observed and the expected (model-implied) summary
statistics.
If type = "cor"
, or type = "cor.bollen"
, the observed and
model implied covariance matrices are first transformed to a correlation
matrix (using cov2cor()
), before the residuals are computed.
If type = "cor.bentler"
, both the observed and model implied
covariance matrices are rescaled by dividing the elements by the square
roots of the corresponding variances of the observed covariance matrix.
If type="normalized"
, the residuals are divided by the square
root of the asymptotic variance of the corresponding summary statistic
(the variance estimate depends on the choice for the se
argument).
Unfortunately, the corresponding standard errors are too large, and this
option is only available for historical interest.
If type="standardized"
, the residuals are divided by the square
root of the asymptotic variance of these residuals. The resulting
standardized residuals elements can be interpreted as z-scores.
If type="standardized.mplus"
, the residuals are divided by the
square root of the asymptotic variance of these residuals. However, a
simplified formula is used (see the Mplus reference below) which often
results in negative estimates for the variances, resulting in many
NA
values for the standardized residuals.
signature(object = "lavaan")
: an alias
for residuals
signature(object = "lavaan")
: returns the
covariance matrix of the estimated parameters.
signature(object = "lavaan")
: compute
factor scores for all cases that are provided in the data frame. For
complete data only.
signature(object = "lavaan")
: returns
model comparison statistics. This method is just a wrapper around
the function lavTestLRT
.
If only a single argument (a fitted
model) is provided, this model is compared to the unrestricted
model. If two or more arguments (fitted models) are provided, the models
are compared in a sequential order. Test statistics are based on the
likelihood ratio test. For more details and
further options, see the lavTestLRT
page.
signature(object = "lavaan", model, add, ...,
evaluate=TRUE)
: update a fitted lavaan object and evaluate it
(unless evaluate=FALSE
). Note that we use the environment
that is stored within the lavaan object, which is not necessarily
the parent frame. The add
argument is analogous to the one
described in the lavTestScore
page, and can be used to
add parameters to the specified model rather than passing an entirely
new model
argument.
signature(object = "lavaan")
: returns the effective
number of observations used when fitting the model. In a multiple group
analysis, this is the sum of all observations per group.
signature(object = "lavaan")
:
returns the log-likelihood of the fitted model, if maximum likelihood estimation
was used. The AIC
and BIC
methods automatically work via logLik()
.
signature(object = "lavaan")
: Print a short summary
of the model fit
signature(object = "lavaan", header = TRUE,
fit.measures = FALSE, estimates = TRUE, ci = FALSE, fmi = FALSE,
standardized = FALSE, cov.std = TRUE, rsquare = FALSE, std.nox = FALSE,
modindices = FALSE, ci = FALSE, nd = 3L)
:
Print a nice summary of the model estimates.
If header = TRUE
, the header section (including fit measures) is
printed.
If fit.measures = TRUE
, additional fit measures are added to the
header section.
If estimates = TRUE
, print the parameter estimates section.
If ci = TRUE
, add confidence intervals to the parameter estimates
section.
If fmi = TRUE
, add the fmi (fraction of missing information)
column, if it is available.
If standardized=TRUE
,
the standardized solution is also printed. Note that SEs and
tests are still based on unstandardized estimates. Use
standardizedSolution
to obtain SEs and test
statistics for standardized estimates.
If rsquare=TRUE
, the R-Square values for the dependent variables
in the model are printed.
If std.nox = TRUE
, the std.all
column contains the
the std.nox
column from the parameterEstimates() output.
If modindices=TRUE
, modification indices
are printed for all fixed parameters.
The argument nd
determines the number of digits after the
decimal point to be printed (currently only in the parameter estimates
section.)
Nothing is returned (use
lavInspect
or another extractor function
to extract information from a fitted model).
Yves Rosseel (2012). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1-36. URL http://www.jstatsoft.org/v48/i02/.
Standardized Residuals in Mplus. Document retrieved from URL http://www.statmodel.com/download/StandardizedResiduals.pdf
cfa
, sem
, growth
,
fitMeasures
, standardizedSolution
,
parameterEstimates
, lavInspect
,
modindices
HS.model <- ' visual =~ x1 + x2 + x3 textual =~ x4 + x5 + x6 speed =~ x7 + x8 + x9 ' fit <- cfa(HS.model, data=HolzingerSwineford1939) summary(fit, standardized=TRUE, fit.measures=TRUE, rsquare=TRUE) fitted(fit) coef(fit) resid(fit, type="normalized")


Search LINCS small molecules by generic names, synonyms, trade names and explore across LINCS datasets, model systems and annotations.
Example search for Seliciclib can query using either "Roscovitine" or "CYC-202" .A comprehensive list of generic names and synonyms are also stored and can be used as search terms.
Search can be performed by a wide set of annotations such as mechanism of actions Cyclin-dependent kinase 2 inhibitor, MESH terms CARCINOMA, EFO terms CYSTIC FIBROSIS and cells MCF7.
Search also facilitates AND , OR , NOT queries. Some examples 1) find Small Molecules that are used in KINOMEscan and L1000 assays. 2) Find Small Molecules that have annotated as Cyclin-dependent inhibitor or kinase inhibitor.


2 batches of soymilk
2 tsp nigari or
2 tsp natural calcium sulfate
GARNISH
Thinly sliced scallions (optional)
Making Fresh Tofu,Tonyu (soymilk) & Yuba
A mechanical soymilk maker heats the soybeans, pulverizes them, and heats them again. All you have to do is soak dried soybeans for at least 8 hours, place them in the machine, fill with water to the designated line, and turn it on. It has been a while since I’ve research this, as I purchased a SoyaJoy long ago. Although I like it, the motor sometimes sounds like it is straining, and it is a little complicated to clean. The new generation soymilk makers sound like they are easier to clean, and are perhaps more powerful.
You will also need a tofu mold, a rectangular wooden or stainless steel box with holes, or make your own from a plastic Tupperware container to which you have added holes. The regular dimensions of tofu are approximately 6”x 8” x 6”, but it doesn’t really matter. You can even use a regular round strainer, if you don’t care about the shape of your tofu. Tofu molds can be purchased from a specialty store (they are usually not available at regular Japanese groceries). You will also need a piece of cotton cloth to line the mold or strainer, as well as coagulant: either nigari (natural magnesium chloride, which is made from the sea) or 2 tsp. natural calcium sulfate.
To make a 1 lb block of tofu, you will generally need 2 batches of soymilk. If you want especially soft and creamy tofu, strain the resulting soymilk through a coffee filter first. Pour the soymilk into a large, sturdy pot, and bring to a boil. For the coagulant to work, the soymilk needs to be very hot. In the meantime, mix the coagulant with ½ cup hot water so that it is dissolved. Turn off the heat and slowly add ¾ of the mixture, stirring gently. It will immediately start to form curds, which look like cottage cheese, that separate from the water. Wait for a few minutes without stirring, and slowly add the rest of the coagulant to any areas that are still milky. Different types of water and soybeans behave differently, so adding the coagulant slowly ensures that you don’t add too much. A general rule: the more coagulant you add, the harder the tofu.


Photo: Chase Young Is Ready For Saturday’s Game vs. Penn State
by Chris RosvoglouChase Young is set to make his return to the gridiron for Ohio State this weekend. He missed the past two games due to a suspension from the NCAA.
Ohio State didn’t miss a beat with Young out of the lineup against Maryland and Rutgers. This weekend will be different, with Penn State coming to town.
In order to stop the Nittany Lions on offense, the Buckeyes are going to need a strong performance from Young. Luckily for Ryan Day, it sounds like his superstar defensive end is ready for the challenge.
Young posted a picture of himself on Instagram with the following message: “Chip on my shoulder only gotten bigger.”
On the surface this seems like a cryptic comment from Young, but he could just be alluding to the fact that he felt unfairly suspended the past two weeks.
Regardless of what his caption actually means, the potential Heisman Trophy candidate is eager to get back on the field for the first time in three weeks.
Some analysts thought Chase Young might find himself in the Heisman Trophy race prior to his suspension. It’s rare for a defensive end to have 13.5 sacks in just eight games.
Young should be highly motivated to boost his sack total this weekend, which is bad news for Penn State.


How NOT to kill your plants and keep them happy and healthy!
Keep your plants happy and healthy with Plant Planner. It is a scheduling system that helps you keep track of all your plants and how to care for them.
Add each plant to this app and any specific information to help it grow and more importanly, thrive. Share this app with friends and family so they know how to tend to your plants when you are away. Input information such as where your plants are located, any additional needs for each plant, how to care for your plants and add picture to make it super clear. Happy Planting!


Guidance
Qualification success rates - rationale for 2013 to 2014
Explains changes to the approach for calculating QSRs, which are used to assess the quality of publicly-funded provision.
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Details
SFA - the effects of the changes to qualification success rate methodologies in 2013
Prior to 2013 to 2014 success rates were calculated using different methodologies for each of the different strands of further education provision.
In the 2013 to 2014 academic year the success rate methodologies have been aligned to give a consistent method of calculation across all provision areas.
This paper describes the effect on success rates reported in the Further Education & Skills Statistical First Release (SFR) and the National Success Rate Tables (NSRT) due to the changes.
Qualification success rates: rationale for the method to be used from 2013 to 2014
This document provides information about the rationale for making the changes to the approach for calculating QSR and other changes as outlined in the
business rules document
.


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CNN is a leading U.S. cable news channel boradcasting news updates, interviews, discussions and debates.The CNN Technology Pulse provides the lastest and greatest updates in the world of technology with co-operate news, trending products and overview of the lastest innovative research.
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Final Project Proposal
Weather Sportscast
The Team
Sebastian Bigos
Last Updated Entry
Sprint 5
11-8-20
Description
The user will be able to select an NFL game from a schedule using a drop down menu perhaps, and will be shown current forecast predictions for that game.
Features to be Implemented
- Drop down menu to change the schedule by week
- Get data from a weather source using an api
- Display a visual depending on the forecast
Desired Features
- Add more sports and leagues
- Display specific info about weather
- Make it very aesthetically pleasing
Tools
HTML, CSS, JavaScript, Weather APIs
Technical Features From Class
Drop down menus, responding to click events using JavaScript
Technical Features Beyond Class
Utilizing a different API and responding with that


From Claws To Paws
Ashoka University | Sonipat
Start Bootstrap
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(current)
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Animal 1
Age: Gender: Male


While HTML is your content and CSS is your style. JavaScript is your function. How you wish for items on your page to interact with the user and itself.
Explain control flow and loops.Control flow is the order of operations within your code.  So control flow is important to keep things in the right place.
Loops is managing how many times you will do a certain action until it has done it enough and must stop. Brushing your teeth should be brushed back and forth more than once, but it also needs to stop at some point otherwise you'll never get anything else done.
One of the main differences is the way in which data is listed in each. Arrays access the data by what number they are listed within itself. Where as data in an object is accessed by calling certain strings. Such as looking up someones "LastName" and it returning the stored name.
Explain what functions are and why they are useful.It is where the work/calculations happen. If you need something to count and loop or perform an "if" statement then this is called a function.


Channel information at: T = 26.0 degC, E_rev = 0 mV, [Ca2+] = 0.00043 mM
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Channelpedia_ABasic_13 Channelpedia_ABasic_13.channel.nml Ion: UA g = gmax * m3 * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/211 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Ca_LVA_3 Channelpedia_Ca_LVA_3.channel.nml Ion: Ca g = gmax * m2 * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/212 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Ca_LVAs_4 Channelpedia_Ca_LVAs_4.channel.nml Ion: Ca g = gmax * m2 * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/212 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Ca_P_Q_5 Channelpedia_Ca_P_Q_5.channel.nml Ion: Ca g = gmax * m This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/78 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Ca_R_7 Channelpedia_Ca_R_7.channel.nml Ion: Ca g = gmax * m * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/82 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Cav3_3_42 Channelpedia_Cav3_3_42.channel.nml Ion: Ca g = gmax * m * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/87 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Generic_Ca_8 Channelpedia_Generic_Ca_8.channel.nml Ion: Ca g = gmax * m2 * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/190 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_HCN1_9 Channelpedia_HCN1_9.channel.nml Ion: Hcn g = gmax * m This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/61 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_HCN2_10 Channelpedia_HCN2_10.channel.nml Ion: Hcn g = gmax * m This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/62 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_HCN3_11 Channelpedia_HCN3_11.channel.nml Ion: Hcn g = gmax * m This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/63 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_HCN4_12 Channelpedia_HCN4_12.channel.nml Ion: Hcn g = gmax * m This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/64 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_HHK_1 Channelpedia_HHK_1.channel.nml Ion: K g = gmax * m4 This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/188 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Ih_14 Channelpedia_Ih_14.channel.nml Ion: Hcn g = gmax * m This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/206 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Kfast_32 Channelpedia_Kfast_32.channel.nml Ion: K g = gmax * m * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/188 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Kir21_44 Channelpedia_Kir21_44.channel.nml Ion: K g = gmax * m * h2 This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/42 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Km1_15 Channelpedia_Km1_15.channel.nml Ion: K g = gmax * m This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/213 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Km2_16 Channelpedia_Km2_16.channel.nml Ion: K g = gmax * m This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/213 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_KSlow_30 Channelpedia_KSlow_30.channel.nml Ion: K g = gmax * m2 * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/188 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_KSlow_S_31 Channelpedia_KSlow_S_31.channel.nml Ion: K g = gmax * m2 * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/188 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Kv1_1_18 Channelpedia_Kv1_1_18.channel.nml Ion: K g = gmax * m * h2 This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/1 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Kv1_2_19 Channelpedia_Kv1_2_19.channel.nml Ion: K g = gmax * m * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/2 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Kv1_3_38 Channelpedia_Kv1_3_38.channel.nml Ion: K g = gmax * m * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/3 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Kv1_4_20 Channelpedia_Kv1_4_20.channel.nml Ion: K g = gmax * m * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/4 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Kv1_5_21 Channelpedia_Kv1_5_21.channel.nml Ion: K g = gmax * m * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/5 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Kv1_6_22 Channelpedia_Kv1_6_22.channel.nml Ion: K g = gmax * m * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/6 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Kv2_1_23 Channelpedia_Kv2_1_23.channel.nml Ion: K g = gmax * m * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/9 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Kv2_2_24 Channelpedia_Kv2_2_24.channel.nml Ion: K g = gmax * m * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/10 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Kv3_1_25 Channelpedia_Kv3_1_25.channel.nml Ion: K g = gmax * m This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/11 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Kv3_1_S_27 Channelpedia_Kv3_1_S_27.channel.nml Ion: K g = gmax * m This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/11 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Kv3_2_39 Channelpedia_Kv3_2_39.channel.nml Ion: K g = gmax * m2 This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/12 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Kv3_3_28 Channelpedia_Kv3_3_28.channel.nml Ion: K g = gmax * m This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/13 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Kv3_3_45 Channelpedia_Kv3_3_45.channel.nml Ion: K g = gmax * m2 * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/13 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Kv3_4_29 Channelpedia_Kv3_4_29.channel.nml Ion: K g = gmax * m * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/14 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_McCormick_Na_34 Channelpedia_McCormick_Na_34.channel.nml Ion: Na g = gmax * m3 * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/189 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Na_35 Channelpedia_Na_35.channel.nml Ion: Na g = gmax * m3 * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/189 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_NaP_37 Channelpedia_NaP_37.channel.nml Ion: Na g = gmax * m3 This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/189 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Nav1_3_43 Channelpedia_Nav1_3_43.channel.nml Ion: Na g = gmax * m3 * h This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/122 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |
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Channelpedia_Nav1_6_33 Channelpedia_Nav1_6_33.channel.nml Ion: Na g = gmax * m This is an automated conversion to NeuroML 2 of an ion channel model from Channelpedia. The original channel model file can be found at: http://channelpedia.epfl.ch/ionchannels/125 Conversion scripts at https://github.com/OpenSourceBrain/BlueBrainProjectShowcase |


Financial technology, also known as fintech, is an economic industry composed of companies that use technology to make financial services more efficient.It is used to describe new tech that seeks to improve and automate the delivery and use of financial services.
Educational technology is the combined use of hardware, software, and educational theory and practice to facilitate learning. Educational technology creates, uses, and manages technological processes and educational resources to help improve user academic performance.
A health technology is the application of organized knowledge and skills in the form of devices, medicines, vaccines, procedures and systems developed to solve a health problem and improve quality of lives.
Computer security, cybersecurity or information technology security is the protection of computer systems and networks from the theft of or damage to their hardware, software, or electronic data, as well as from the disruption or misdirection of the services they provide.
The Internet of Things is simply "A network of Internet connected objects able to collect and exchange data." It is commonly abbreviated as IoT. In a simple way to put it, You have "things" that sense and collect data and send it to the internet.
Environmental technology (envirotech) is the application of one or more of environmental science, green chemistry, environmental monitoring and electronic devices to monitor, model and conserve the natural environment and resources
Augmented reality (AR) adds digital elements to a live view often by using the camera on a smartphone.Example - Pokemon Go. Virtual reality (VR) implies a complete immersion experience that shuts out the physical world. Example - Google Cardboard
Technology cannot prevent the onset of the pandemics; however, it can help prevent the spread, educate, warn, and empower those on the ground to be aware of the situation, and noticeably lessen the impact. #BROWNIE POINTS
When we think about robotics first thing that come to our mind is automation. Robots are known to perform tasks automatically without much human intervention, except for initial programming and instruction set being provided to them.
hackCBS 2.0, a legacy being carried forward by students of SSCBS aims to collaborate the intellects of programmers, designers, application developers.
hackCBS 2.0, a legacy being carried forward by students of SSCBS aims to collaborate the intellects of programmers, designers, application developers, .
View DetailshackCBS 2.0, a legacy being carried forward by students of SSCBS aims to collaborate the intellects of programmers, designers, application developers,
View DetailshackCBS 2.0, a legacy being carried forward by students of SSCBS aims to collaborate the intellects of programmers, designers, application developers,
View DetailsA hackathon can be best described as an “invention marathon”, or in simple words hackathons are about bringing your crazy ideas to reality. It’s an event where any tech-enthusiast, regardless of their individual field can come and participate to learn, build and share their creations over the course of a weekend, in a relaxed and productive environment. Hackathons are simply a venue for self-expression and creativity, where people come together and transform their thoughts into reality, through technology.
The maximum team size is four and lone rangers are also welcome. Participants selected on an individual basis and can team up on the spot as well.
This is a student hackathon and only students are allowed to participate. You’ll be required to verify at the event by showing your student ID card.
If you love to code, you are more than welcome to participate in the hackathon. Though we may screen applications to maintain high standards.
Of course you can! We at hackCBS ensure that no one is left behind during the hacking, thanks to our mentors and volunteers who help us achieve the same. We make sure that you learn the best you can alongside having fun and experiencing what it feels to belong to a community.
No. In the interest of fairness, students should not be working on their projects before hackCBS begins and we do not allow participants to work on pre-existing projects. However, you can familiarize yourself with all the tools and technologies you intend to use beforehand.
Please bring a valid university ID (or any student ID if in high school), a computer (preferably a laptop), chargers, and any hardware you will use for your hack. Please bring your own extensions although we'll have them available on minimum rent charges. No firearms, weapons, alcohol, or illegal drugs are allowed on campus.
Based on the info provided in the registration form and a telephonic interview (if required), teams will be shortlisted for the hackathon.
Yes, definitely we do to the brightest minds but on case to case basis (keeping in mind all the other constraints). If eligible you'll be informed about this over mail following the Hackathon.
You're advised to bring your own broadband/hotspot device as we can arrange for atmost one connection per team.
Drop us a mail at<EMAIL_ADDRESS>and we would be more than happy to answer your queries. Also, feel free to write if you'd like to volunteer for the event or be a mentor or judge!


Pick you autumn-style and even maybe winter-style cloting. The sun won't be found anywhere and the wind will blow you away.
Definately stay home day OR work day. Enjoy working/learning on your computer.. Or if you are old-scool.. From a book.


Cross-screening is a new method that uses both random halves of the sample to screen and test many hypotheses. It generally improves statistical power in observational studies when many hypotheses are tested simultaneously. References: 1. Qingyuan Zhao, Dylan S Small, and Paul R Rosenbaum. Cross-screening in observational studies that test many hypotheses. <arXiv:1703.02078>. 2. Qingyuan Zhao. On sensitivity value of pair-matched observational studies. <arXiv:1702.03442>.
| Version: | 0.1.1 |
| Imports: | stats, parallel, plyr, tables |
| Suggests: | knitr, ggplot2 |
| Published: | 2017-04-21 |
| Author: | Paul Rosenbaum [aut], Qingyuan Zhao [aut, cre] |
| Maintainer: | Qingyuan Zhao <qyzhao at wharton.upenn.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | CrossScreening results |
| Reference manual: | CrossScreening.pdf |
| Vignettes: |
CrossScreening Vignette |
| Package source: | CrossScreening_0.1.1.tar.gz |
| Windows binaries: | r-devel: CrossScreening_0.1.1.zip, r-release: CrossScreening_0.1.1.zip, r-oldrel: CrossScreening_0.1.1.zip |
| OS X binaries: | r-release: CrossScreening_0.1.1.tgz, r-oldrel: CrossScreening_0.1.1.tgz |
| Old sources: | CrossScreening archive |
Please use the canonical form https://CRAN.R-project.org/package=CrossScreening to link to this page.


Proj Finder
Say bye to the endless hours browsing Mountain Project.
The Proj Finder helps you find your next climbing project. Simply give the maximum climbing grade you're looking for (in YDS so 5.9, 5.10, 5.11, etc) and the maximum distance that you're willing to drive from your location.
Your location is set using your IP address to: {{ location.city }}, {{ location.country }}