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You may want to apply a filter or renderer to all ontology editor panels all the time. OBO-Edit allows you to create global filters and global renderers using the Global Filter Plugin.
Global filters and renderers are applied to every ontology editor panel automatically. Global filters and renderers do not appear in the ontology editor panel filter menu, and they are not removed by the "Remove all renderers and filters" command.
To edit the global filters, choose The Global Filter Plugin from the Plugins menu:
There are two tabs at the top of the plugin. The "Filters" tab contains the controls for editing global filter settings. The "Renderers" tab contains controls for editing global renderer settings.
To edit global filters, click the "Filters" tab. The screenshot above shows the "Filter" tab. The filters tab consists of two lists of filters. The "Link Filters" list contains all the global link filters, and the "Term filters" list contains all the global term filters.
To edit a filter, select it by clicking its name in the list. A filter designer will appear where you can edit the filter. The filter designers are always locked in "Compound filtering" mode, and it is not possible to change between "Link filtering" and "Term filtering".
To add a filter, click the "Add" button under the filter list. A new filter will be created that can be edited as described above.
To delete a filter, select the filter to delete and click the "Del" button under the filter list.
To edit global renderers, click the "Renderers" tab:
The renderers tab consists of two lists of renderers. The "Term Renderers" list contains all the global term renderers, and the "Link Renderers" list contains all the default link renderers.
To edit a renderer, select it by clicking its name in the list. A renderer designer will appear where you can edit the renderer. The renderer designers are always locked in "Compound filtering" and "Rendering controls" mode, and it is not possible to change between "Link filtering" and "Term filtering". Note that between the renderer list and the renderer designer, the interface may need a lot of space on the screen for all the controls to be visible. Resize the Global Renderer Plugin if necessary to see all the controls.
To add a renderer, click the "Add" button under the filter list. A new renderer will be created that can be edited as described above.
To delete a renderer, select the renderer to delete and click the "Del" button under the renderer list.
When OBO-Edit is first installed, the following global filters and renderers are installed by default (note that these default filters and renderers are described in terms of their effects. The actual filter definitions tend to be more complex than these descriptions):


--- layout: post title: "Price Calculation" permalink: /pages/price-calculator bootstrap: false date: 2021-12-11 07:59:02 +0200 categories: ["The Science Guy"] tags: ["price", "2nd hand"] excerpt_separator: feature-img: "assets/img/posts/price.webp" thumbnail: "assets/img/posts/price.webp" ---
Do you have used items, that you want to sell but don't know what price tag to put on? Here, you can calculate a suggested price. The item should still be functional. The calculated price here is a suggested price. There is no guaranty, that it is the best price.
The equation we use here to calculate the price is: $$ p = n (1 - log_2(\frac{a}{d} + 1)) $$ with new price n, age in years a, and loss in value parameter d. The loss in value parameter is here the time in years it takes a new item to reach a price 0. This should depend on the category of item you want to sell. A chair will not lose value as fast as a cell phone. It also depends on build quality and if the item was well maintained. The values that are used here are rough averages. For a specific case, d can be set in the "Custom" category.


Before Change
X1 = eo["cdist-X1"]
X2 = eo["cdist-X2"]
for metric in _METRICS_NAMES:
kwargs = {"p": None, "w": None, "V": None, "VI": None, "out": None}
if metric in ["minkowski", "wminkowski"]:
kwargs["p"] = 1.23
if metric == "wminkowski":
kwargs["w"] = 1.0 / X1.std(axis=0)
out1 = np.empty((10, 20), dtype=np.double)
Y1 = cdist(X1, X2, metric, **kwargs)
kwargs["out"] = out1
Y2 = cdist(X1, X2, metric, **kwargs)
// test is output is numerically correct
_assert_within_tol(Y1, Y2, eps, verbose > 2)
// test is distance matrix Y1 and out1 are the same object
assert_(Y2 is out1)
// test for incorrect shape
out2 = np.empty((9, 19), dtype=np.double)
kwargs["out"] = out2
assert_raises(ValueError, cdist, X1, X2, metric, **kwargs)
// test for C-contiguous order
out3 = np.empty((100, 200), dtype=np.double)[::10, ::10]
out4 = np.empty((10, 20), dtype=np.double, order="F")
kwargs["out"] = out3
assert_raises(ValueError, cdist, X1, X2, metric, **kwargs)
kwargs["out"] = out4
assert_raises(ValueError, cdist, X1, X2, metric, **kwargs)
// test for incorrect dtype
out5 = np.empty((10, 20), dtype=np.int64)
kwargs["out"] = out5
assert_raises(ValueError, cdist, X1, X2, metric, **kwargs)
class TestPdist(object):
After Change
X2 = eo["cdist-X2"]
out_r, out_c = X1.shape[0], X2.shape[0]
for metric in _METRICS_NAMES:
kwargs = dict()
if metric in ["minkowski", "wminkowski"]:
kwargs["p"] = 1.23
if metric == "wminkowski":
kwargs["w"] = 1.0 / X1.std(axis=0)


November 23, 2015
Using CSS, a developer may adjust the margin, border, or padding of various HTML elements. In today's piece, I am going to discuss these properties and their differences. Hold on to your breaches!
The following image is from www.w3schools.com/css/css_boxmodel.asp:
Each HTML element can be thought of as a box with three potential layers around the content. The outermost layer is the margin. The margin is transparent, and it is set to determine how much space exists between the edge of the element and any other nearby elements. Some HTML elements, such as headings, have pre-set margins, but they can all be overwritten (or set to 0) within a CSS stylesheet. There are a few different ways to specify margins.
margin: 10px;
}
In the above code, the margin is set to 10 pixels for all for sides of the element. To adjust individual margins, the following technique is used:
margin-top: 10px;
margin-right: 20px;
margin-bottom: 5px;
margin-left: 18px;
}
The above can be shortened to:
margin: 10px 20px 5px 18px;
}
An important feature of vertical margins is that if there is no other content, border, or padding between two elements, their vertical margins will collapse to the greater of the two specified margins. For example, if one element has a bottom margin of 10 pixels, and an element right below it has a top margin of 30 pixels, the margin between them will be 30 pixels, not 40. Intuitively, if the top element calls for 10 vertical pixels of space between it and the next element, there is no need to add 10 pixels of space when the element below is already giving it 30 pixels of vertical space.
Alright! Time to peel a layer off of our HTML element onion. Next up: Borders.
The border goes around the padding and content, and inside the space designated by the margin. The outermost edge of the border is where the margin begins. The border may be thin or thick, solid or dashed, embedded, ridged, or one of a number of other descriptors with various properties. It is not a required property: a border may be hidden, set to none, or not described at all, which will have the same result.A border may be specified as follows:
border-width: 2px;
border-color: green;
border-style: solid;
}
or
border: 2px solid green;
}
Each side of the border may also be set to a different color, for example, by using the property keys border-top-color: or border-right-color , for example. Borders may also be rounded or made into elliptical shapes, and it can even be made up of slices of an image! There are many ways to specify exactly how a border should look; for more details, the internet is your friend!
Last but not least, the padding is our final layer around the content of our HTML element. It is another transparent layer, similar to the margin. The padding sets the amount of space between the content and the border. The CSS looks to similar to margin:padding-top: 10px;
padding-right: 20px;
padding-bottom: 5px;
padding-left: 18px;
}
Which can again be shortened to:
padding: 10px 20px 5px 18px;
}
For a quick visual, here is an example from www.w3.org/wiki/CSS/Training/padding_and_margin:
Okay! I think you have read enough about margin, border, and padding for one day. Hopefully you now have a good foundation for managing the edges of all of your HTML elements! Until next time...


I am a fully professional freelancer User Interface Designer & Developer
I work on the latest web, mobile apps and desktops apps designing and technologies
feel free to contact me.
An opportunity to work and upgrade oneself, as well as being involved in an organization that believes in gaining a competitive edge and giving back to the community. I'm presently expanding my experience in Server technologies as well. I focus on using my interpersonal skills to build good user experience and create a strong interest in my employers. I hope to develop skills in motion design and my knowledge of the Web, and become an honest asset to the business. As an individual, I'm self-confident you’ll find me creative, funny and naturally passionate. I’m a Lazy programmer so i try to avoid writing lengthy codes, which others may find inspiring when working as a team.
I have been working as a software Engineer since March 2016. I have a love of clean, elegant styling, and I have lots of experience in the production of CSS3 and HTML5 for modern websites. I loving creating awesome cordova apps as per my clients’ need. I think of user experience when I try to craft something for my clients. Making a awesome and smooth.
Master of Technology in computer science and engineering from Dr Babasaheb Ambedkar Marathwada University, Aurangabad, Maharastra.
Bachelor of Engineering in Information technology from P.E.S College of engineering, Dr Babasaheb Ambedkar Marathwada University, Aurangabad, Maharastra.
Higher Secondary certificate From Maulana Azad College, Aurangabad, Maharashtra.
Secondary school certificate from Burhani National English High School, Aurangabad, Maharashtra.
I am Mostly responsible for creating the User Interface design for the mobile apps in HTML5 and CSS3 Using Cordova and Ionic framework.I also Does all the Mobile side coding and API integration
Working on the latest Ionic framework, Angular web apps and Sencha web apps


Use Secure Store and Forward (SSF) functions with your Advanced Business Application Programming (ABAP) code to provide digital signatures and encryption for documents that need to be transported and stored within the SAP system or in external locations.
SSF mechanisms are critical protection for ABAP documents and messages. When sensitive data is digitally signed and encrypted, you are assured of data integrity, authenticity and confidentiality for the wrapped object(s).
If SSF is not used, protected information could be exposed to an intruder in unencrypted form. Also, the contents could be sent to unsafe storage areas, whether internal or external to the organization. Note that a digital signature guarantees the authenticity of the signer, and is required for many types of business record transmission. The digital signature is not forgeable, and secures the document from changes. It is also important that the document signer cannot repudiate, or deny, the validity of their signature.
The SSF functions used with ABAP are dependent upon the crypto library which is installed. The latest versions of SAP NetWeaver includes the SAP Cryptographic Library CommonCryptoLib
, which is backward-compatible with SAPCRYPTOLIB
, as well as the SAP Security Library (SAPSECULIB
). The crypto library can be used in all situations, as it supports the use of digital signatures, and also provides for encryption in these instances:
Since these SSF mechanisms are critical for defense in depth, if the functions are not accessible, you must install the cryptographic library which works with your version of SAP NetWeaver.
SSF requires the use of a third-party security product. For this reason SAP includes the SAP Cryptographic Library. If a different library is in use, be aware of changes in function use and name.
Also be aware that the laws of various countries differ as to the regulation of cryptography and signatures. These laws may impact development, and their effect should be understood.
Determine cryptographic library in use. Make sure you have the latest version of CommonCryptoLib
. Use SSF02 SAP ABAP Report -> SSF Test Program to report the installed version. If the output does not include CommonCryptoLib
, you will need to download and install the latest SAPCRYPTOLIB
. Review all supplied notes and documentation to find best practices for the APIs using the library in effect.
SE38 -> SSF02 -> Determine Version
SSFLIB Version 1.840.40 ; CommonCryptoLib (SAPCRYPTOLIB) Version 8.4.15 (+MT) #Copyright (c) SAP AG, 2011-2014#compiled for linux-gcc-4.3-x86-64#
Identify sensitive data. Review the ABAP code to find where sensitive data is handled. Also review any called functional modules and APIs in use for sensitive operations. Make a list of code that may handle sensitive or private information. Common examples of sensitive data include, but are not limited to, names of customers, government issued ID numbers, credit card and other financial information, passwords, and private keys. Note that this is not a complete list of sensitive information. Refer to applicable regulatory requirements to identify sensitive data which applies to your business requirements.
Choose libraries and APIs. The SSF functions include encryption and signing (PKCS#7) features. Usually, you do not directly call the SSF_KRN_xxx
function modules. These are used by the ABAP AS to communicate with the SAP Basis kernel, and are included for information completeness. The following Secure Store and Forward mechanisms are found in the SSFG function group:
SSF_SIGN
(SSF_KRN_SIGN
) to create digital signaturesSSF_VERIFY
(SSF_KRN_VERIFY
) to check digital signaturesSSF_ENVELOPE
(SSF_KRN_ENVELOPE
) to encrypt documentsSSF_DEVELOPE
(SSF_KRN_DEVELOPE
) to decrypt documentsSet the encryption algorithm. On the application server, set the symmetric encryption algorithm and other required parameters. Use either environment variables (as of Release 4.5A) or profile parameters to specify the SSF information. Profile parameters values override those in environment variables. If you do not use either option, then the system uses the default values. Also remove the asterisk when a parameter line is modified. In the following example, the symmetric encryption algorithm is set to AES. Other parameters may also require setting changes. Consult the applicable SAP notes.
SSF_SYMENCR_ALG=AES
Add encryption key. Generate an individual encryption key for the secure storage (ABAP):
Start transaction SECSTORE
.
Go to the Key Management tab.
Choose the Generate button. The system generates a new encryption key and opens a popup that displays the key ID and key value. Write down the key ID and key value and store them in a safe place.
Caution. Do not store the key value in a plain text file on a file system that is accessible by the system itself.
Choose Continue. Compare the key value written down with the key value in the following window. Type the required characters in the fields that are filled with a question mark. Press the TAB key to move from one of these fields to the next.
Choose Continue. The system checks whether the data is correct. If it is correct, the encryption key is stored in the secure storage in the file system and marks it as Current. The system uses this key for encryption.
Note. Encrypt all data in the secure storage (ABAP) with the new current key. To do so, choose Continue. If you do not want to encrypt all data, close the popup without choosing to continue.
Use encryption and decryption. Find code that handles sensitive data, and apply encryption or decryption as necessary. Add code that calls the function SSF_ENVELOPE
to encrypt sensitive data, or apply function SSF_DEVELOPE
to unencrypt. For additional information on use and optional parameters, enter the function module name SSF_ENVELOPE
or SSF_DEVELOPE
into the relevant SAP transaction.
Add or verify a digital signature. Add SSF_SIGN
or SSF_VERIFY
to the processing code block to sign or verify your document object. For additional information on use and optional parameters, enter the function module name SSF_SIGN
or SSF_VERIFY
into the relevant SAP transaction.


First things first, we need an introduction:
If you can go through those this weekend we then have this link
Long Term?


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THOMAS KIGARDE BACK-END(NODE) Engineer ❝ - If it works, do not touch it. ❞ ⟱ About Hi, I am Thomas, 2 Decades young and I am passionate about Software Developement, mainly creating Web Applications. Skills and Technologies: HTML5 CSS3 JavaScript Node Js Vue Js SQL


Default Selected User Emails
Whether the control is enabled or not
Mandatory field error message
Class Name for the Error Section
Name of SharePoint Group
People Field is mandatory
Class Name for the People picker control
Class Name for the whole People picker control
Selection Limit of Control
Specify the user / group types to retrieve
Method to check value of People Picker text
Show users which are hidden from the UI
Show or Hide Tooltip
Maximum number of suggestions to show in the full suggestion list. (default: 5)
Text of the Control
Directional Hint of tool tip
Tooltip Message
Web Absolute Url of source site
Generated using TypeDoc
Used to display a placeholder in case of no or temporary content. Button is optional.


Line Class
A line in the diagram.
Constructor
Line
()
Item Index
Methods
emitChange
()
private
Emit the change event
emitDestroy
()
private
emitEndsChange
()
private
Emit an event signalling that one of the line ends moved
reset
()
Empty this line
setMinDisturb
()
Line
Compute the Line path, avoiding other boxes and lines in the Diagram, and try to change as little as possible of the path relative to the old Line. If no nice path could be found, the simplest path is used.
Returns:
Line:
Self.
setNice
()
Line
Compute the Line path, avoiding other boxes and lines in the Diagram. If no nice path could be found, the simplest path is used.
Returns:
Line:
Self
setSimple
()
Compute the Line path, using as little effort as possible.


iDx3
Search
Dashboard
Dashboard
User
User
Chat
Chat
Analytics
Analytics
File Manager
File Manager
Order
Order
Saved
Saved
Settings
Settings
Breno Teixeira
Desenvolvimento
Home Content


YouTube unveils prepaid plans for Premium, Music Premium versions in India
Users will be able to purchase one-month or three-month prepaid plans for YouTube Premium and Music Premium in India, the official blog notes.
by ANIYouTube has announced prepaid plans for its music services in India.
Users will be able to purchase one-month or three-month prepaid plans for YouTube Premium and Music Premium in India, the official blog notes.
To sign-up for a prepaid plan, one can follow the sign-up instructions for a YouTube Premium or YouTube Music Premium membership, and select the required plan. The users will also be able to purchase additional top-ups for their membership.


"Coming together is a beginning; keeping together is progress; working together is success."
-Henry Ford
Our-Team
UCL Team 21:
Dylan Vekaria -
Produced Content for overview and intro page
• Produced Meet Rob Video
• Produced our-team page
Lovepreet Singh -
Responsible for website design and styling of pages
• Researched Past and Present uses of SSE
• Produced SSE timeline and key people page
Luming Ji -
Provided research for future of SSE
• Provided infographics for the website
Zong Tou -
Responsible for overall website design and styling of all pages
• Produced all content applicable to UCL
• Produced home page
References
https://startbootstrap.com/ - used for the template of the website and the images(included in template) on the main page
https://github.com/ - used for editing the website
https://www.ucl.ac.uk/ - the main UCL website
https://www.inventor-strategies.com/Latest-technology-inventions.html - used for information on timeline page
https://en.wikipedia.org/wiki/Wiki_software - used for information on the timeline page
Links to Other resources
Below are the resources you can use to read more on the topic!


Plugin
TatUi
Manage the plugins
register a new plugin
Plugin description with fileds {name, type, description}
get a plugin
Object to filter elements
plugin description
get a registered plugin by route name
get list of plugins
get list of plugins messages views


|
AIDS in Colombia
The first cases of AIDS were officially reported in 1986.
[Graph 1776.01]
Colombia. AIDS, cases
| 1982 | 1983 | 1984 | 1985 | 1986 | 1987 |
| 0 | 3 | 12 | 16 | 148 | 300 |
| 1988 | 1990 | 1991 | 1992 | 1993 | 1994 |
| 338 | 771 | 870 | 934 | 740 | 1,361 |
| 1995 | 1996 | 1997 | 1998 | 1999 | 2001 |
| 932 | 1,095 | 828 | 1,026 | 547 | 933 |
[Graph 1776.02]
Colombia. AIDS, cumulative cases
| 1982 | 1983 | 1984 | 1985 | 1986 | 1987 |
| 0 | 3 | 15 | 31 | 179 | 479 |
| 1988 | 1990 | 1991 | 1992 | 1993 | 1994 |
| 878 | 1,478 | 2,348 | 3,282 | 4,022 | 5,383 |
| 1995 | 1996 | 1997 | 1998 | 1999 |
| 6,315 | 7,410 | 8,238 | 9,264 | 9,811 |
Notes:
1. The true number of AIDS cases to December 1997 was estimated at 12,000, with 10,000 AIDS deaths.
2. Santa Fe de Bogota accounted for 46.4% of cases to December 1996; Antioquia for 15%.

- Cases reported to May 1998: 89% ages 15 to 49; 91% males.

[Graph 1776.03]
Colombia. AIDS, estimated deaths
| 1997 | 1999 | 2001 | 2003 | 2005 | 2009 |
| 3,000 | 1,700 | 13,000 | 6,800 | 8,200 | 14,000 |
Notes:
1. 2,800 AIDS orphans were estimated to December 1999; 21,000 in 2001.
2. 3,226 AIDS deaths were officially reported through 1996; 3,705 to January 2001.
Eight cases of transfusion-acquired infection were estimated for 1993; 285 in 1994; 0 in 1995.
Seroprevalence surveys:
20% of men who have sex with men (Bogota, 2001)
0.20% of blood donors (1994).
1.8% of multiply-transfused patients in Bogota and Medellin (2003) 1
0.5% of urban pregnant women (1994); 0.1% of rural pregnant women (1999).
0.4% of prisoners (1990)
14.6% of STD patients (1986).
1.1% of CSW in 1994; 0.7% (Bogota) in 2002; 1.6% (Bogota) in 2008
0% of Dominican and Colombian CSW in Italy (Catania, Sicily, 2006 publication) 2
[Graph 1776.04]
Colombia. HIV seropositivity rates per 100,000 blood donors
| 1993 | 1994 | 1995 | 1997 | 1999 | 2001 |
| 0 | 0 | 0 | 0 | 0 | 0 |
| 2002 |
| 0 |
[Graph 1776.05]
Colombia. HIV-AIDS, cases
| 2002 | 2003 | 2004 | 2005 | 2006 | 2007 |
| 2,171 | 1,898 | 3,177 | 3,976 | 4,312 | 4,542 |
| 2008 | 2009 | 2010 | 2011 |
| 4,512 | 8,094 | 7,614 | 7,964 |
Notes:
1. 34,033 HIV-positives were reported to December 2002.
[Graph 1776.06]
Colombia. AIDS - estimated living with HIV/AIDS, cases
| 1994 | 1997 | 1999 | 2001 | 2003 | 2005 |
| 40,000 | 72,000 | 71,000 | 210,000 | 140,000 | 160,000 |
| 2009 |
| 160,000 |
Notes:
1. Number for 1997 represents 0.36% of adults ages 15 to 49; 0.4% in 2001; 0.7% in 2003.
Associated infections:
- 6.5% of HIV-positive patients have tuberculosis (Cali, 1991 to 1992). 3
11.9% of tuberculosis patients in Bogota are HIV-positive. (2001). 4
- 38.6% of patients with HIV infection in Medellin are HBV-positive, and 0.8% are HCV-positive 5
- 10.4% of HIV-positive patients in Bogota are infested by Cryptosporidium, 25.2% Blastocystis hominis, 3.5% Microsporidium and 13% Entamoeba histolytica (2001). 6
3.9% of HIV-positive patients in Medellin are infested by Microsporidium (2001 to 2002). 7
- 931 cases of cryptococcosis were reported in Colombia over 9 years in a national survey (240 cases per 100, 000 per year; 300 per 100, 000 per year among AIDS patients). 78.1% were HIV-positive and 82.7% were male. (1997 to 2005) 8
- Two cases (1995 and 1997) of superinfection by paracoccidioidomycosis in AIDS patients have been reported. 9
Notable outbreaks:
1993 - An outbreak (13 cases) of HIV infection was reported at a dialysis center. 10
List of all references
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Ads only display in free trial
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public class MultiFactorStateEvolver extends java.lang.Object implements PointStateEvolver
| Constructor and Description |
|---|
MultiFactorStateEvolver(FundingLabel lslFunding,
ForwardLabel lslForward,
MultiFactorVolatility mfv,
R1ToR1 auInitialInstantaneousForwardRate)
MultiFactorStateEvolver Constructor
|
| Modifier and Type | Method and Description |
|---|---|
double |
compoundedShortRateIncrement(int iSpotDate,
int iViewDate,
int iTargetDate,
double dblCompoundedShortRate,
double dblShortRate,
int iViewTimeIncrement)
Compute the Continuously Compounded Short Rate Increment given the Spot Date, the View Date, the
Target Date, the Continuously Compounded Short Rate, the Current Short Rate, and the View Time
Increment.
|
LSQMPointUpdate |
evolve(int iSpotDate,
int iViewDate,
int iSpotTimeIncrement,
LSQMPointUpdate lsqmPrev)
Evolve the Latent State and return the LSQM Point Update
|
ForwardLabel |
forwardLabel()
Retrieve the Forward Label
|
FundingLabel |
fundingLabel()
Retrieve the Funding Label
|
R1ToR1 |
instantaneousForwardInitialTermStructure()
Retrieve the Initial Instantaneous Forward Rate Term Structure
|
double |
instantaneousForwardRateIncrement(int iViewDate,
int iTargetDate,
int iViewTimeIncrement)
Compute the Instantaneous Forward Rate Increment given the View Date, the Target Date, and the View
Time Increment
|
double |
liborForwardRateIncrement(int iSpotDate,
int iViewDate,
int iTargetDate,
double dblLIBORForwardRate,
int iViewTimeIncrement)
Compute the LIBOR Forward Rate Increment given the Spot Date, the View Date, the Target Date, the
Current LIBOR Forward Rate, and the View Time Increment
|
MultiFactorVolatility |
mfv()
Retrieve the Multi-factor Volatility Instance
|
double |
proportionalPriceIncrement(int iViewDate,
int iTargetDate,
double dblShortRate,
int iViewTimeIncrement)
Compute the Proportional Price Increment given the View Date, the Target Date, the Short Rate, and the
View Time Increment
|
double |
shiftedLIBORForwardIncrement(int iSpotDate,
int iViewDate,
int iTargetDate,
double dblShiftedLIBORForwardRate,
int iViewTimeIncrement)
Compute the Shifted LIBOR Forward Rate Increment given the Spot Date, the View Date, the Target Date,
the Current Shifted LIBOR Forward Rate, and the View Time Increment
|
double |
shortRateIncrement(int iSpotDate,
int iViewDate,
int iViewTimeIncrement)
Compute the Short Rate Increment given the Spot Date, the View Date, and the View Time Increment
|
public MultiFactorStateEvolver(FundingLabel lslFunding, ForwardLabel lslForward, MultiFactorVolatility mfv, R1ToR1 auInitialInstantaneousForwardRate) throws java.lang.Exception
lslFunding
- The Funding Latent State LabellslForward
- The Forward Latent State Labelmfv
- The Multi-Factor Volatility InstanceauInitialInstantaneousForwardRate
- The Initial Instantaneous Forward Rate Term Structurejava.lang.Exception
- Thrown if Inputs are Invalidpublic FundingLabel fundingLabel()
public ForwardLabel forwardLabel()
public MultiFactorVolatility mfv()
public R1ToR1 instantaneousForwardInitialTermStructure()
public double instantaneousForwardRateIncrement(int iViewDate, int iTargetDate, int iViewTimeIncrement) throws java.lang.Exception
iViewDate
- The View DateiTargetDate
- The Target DateiViewTimeIncrement
- The View Time Incrementjava.lang.Exception
- Thrown if the Instantaneous Forward Rate Increment cannot be computedpublic double proportionalPriceIncrement(int iViewDate, int iTargetDate, double dblShortRate, int iViewTimeIncrement) throws java.lang.Exception
iViewDate
- The View DateiTargetDate
- The Target DatedblShortRate
- The Short RateiViewTimeIncrement
- The View Time Incrementjava.lang.Exception
- Thrown if the Proportional Price Increment cannot be computedpublic double shortRateIncrement(int iSpotDate, int iViewDate, int iViewTimeIncrement) throws java.lang.Exception
iSpotDate
- The Spot DateiViewDate
- The View DateiViewTimeIncrement
- The View Time Incrementjava.lang.Exception
- Thrown if the Short Rate Increment cannot be computedpublic double compoundedShortRateIncrement(int iSpotDate, int iViewDate, int iTargetDate, double dblCompoundedShortRate, double dblShortRate, int iViewTimeIncrement) throws java.lang.Exception
iSpotDate
- The Spot DateiViewDate
- The View DateiTargetDate
- The Target DatedblCompoundedShortRate
- The Compounded Short RatedblShortRate
- The Short RateiViewTimeIncrement
- The View Time Incrementjava.lang.Exception
- Thrown if the Continuously Compounded Short Rate Increment cannot be
computedpublic double liborForwardRateIncrement(int iSpotDate, int iViewDate, int iTargetDate, double dblLIBORForwardRate, int iViewTimeIncrement) throws java.lang.Exception
iSpotDate
- The Spot DateiViewDate
- The View DateiTargetDate
- The Target DatedblLIBORForwardRate
- The LIBOR Forward RateiViewTimeIncrement
- The View Time Incrementjava.lang.Exception
- Thrown if the LIBOR Forward Rate Increment cannot be computedpublic double shiftedLIBORForwardIncrement(int iSpotDate, int iViewDate, int iTargetDate, double dblShiftedLIBORForwardRate, int iViewTimeIncrement) throws java.lang.Exception
iSpotDate
- The Spot DateiViewDate
- The View DateiTargetDate
- The Target DatedblShiftedLIBORForwardRate
- The Shifted LIBOR Forward RateiViewTimeIncrement
- The View Time Incrementjava.lang.Exception
- Thrown if the Shifted LIBOR Forward Rate Increment cannot be computedpublic LSQMPointUpdate evolve(int iSpotDate, int iViewDate, int iSpotTimeIncrement, LSQMPointUpdate lsqmPrev)
PointStateEvolver
evolve
in interface PointStateEvolver
iSpotDate
- The Spot DateiViewDate
- The View DateiSpotTimeIncrement
- The Spot Time IncrementlsqmPrev
- The Previous LSQM Point Update


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Founded in 1967, EL RAN is a Canadian, family-owned company that specializes in motion furniture. A leader in its field, they offer a full range of reclining chairs, loveseats and sofas, as well as a wide selection of stationary upholstered furniture. EL RAN makes more than 150 models that run the gamut from current trends to more traditional and transitional styles. Collections are available in more than 550 fabrics and leathers.


Which side of the river in Vienna
should I book my stay if I'm visiting for less than a month?
South-West


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The Vector Class constructor
(getter/setter) The x value of the vector.
(getter/setter) The y value of the vector.
(getter/setter) The y value of the vector.
(getter) Vector area.
(getter) Returns the basic array representation of this vector.
(getter/setter) Vector height. Alias of {@link Vector#x x}
(getter/setter) Vector height. Alias of {@link Vector#x x}
(getter/setter) Vector height. Alias of {@link Vector#x x}
(getter/setter) Vector height. Alias of {@link Vector#x x}
(getter/setter) The length of the vector
(getter/setter) The length of the vector
(getter/setter) The length of the vector presented as a square. If you're using length for comparison, this is quicker.
(getter/setter) The length of the vector presented as a square. If you're using length for comparison, this is quicker.
(getter/setter) Spherical phi. For using a vec3 as spherical coordinates. Alias of {@link Vector#y y}
(getter/setter) Spherical phi. For using a vec3 as spherical coordinates. Alias of {@link Vector#y y}
(getter/setter) Spherical radius. For using a vec3 as spherical coordinates. Alias of {@link Vector#x x}
(getter/setter) Spherical radius. For using a vec3 as spherical coordinates. Alias of {@link Vector#x x}
(getter/setter) Spherical theta. For using a vec3 as spherical coordinates. Alias of {@link Vector#z z}
(getter/setter) Spherical theta. For using a vec3 as spherical coordinates. Alias of {@link Vector#z z}
(getter/setter) Vector width. Alias of {@link Vector#x x}
(getter/setter) Vector width. Alias of {@link Vector#x x}
(getter/sette) Swizzle XX
(getter/sette) Swizzle XX
(getter/sette) Swizzle XY
(getter/sette) Swizzle XY
(getter/sette) Swizzle XYZ
(getter/sette) Swizzle XYZ
(getter/sette) Swizzle YX
(getter/sette) Swizzle YX
(getter/sette) Swizzle YY
(getter/sette) Swizzle YY
(getter/sette) Swizzle YZ
(getter/sette) Swizzle YZ
(getter/sette) Swizzle YZX
(getter/sette) Swizzle YZX
(getter/sette) Swizzle zx
(getter/sette) Swizzle zx
(getter/sette) Swizzle ZXY
(getter/sette) Swizzle ZXY
(getter/sette) Swizzle ZY
(getter/sette) Swizzle ZY
(getter/sette) Swizzle ZZ
(getter/sette) Swizzle ZZ
Adds a scalar to the vector, modifying both the x and y
The scalar to add to the vector
Returns itself, modified
Clones the vector and adds the scalar to it instead
The scalar to add to the vector
Returns the clone of itself, modified
Clones the vector
The cloned vector
Calculates the distance between this and the supplied vector
The vector to calculate the distance from
The distance between this and the supplied vector
Calculates the distance on the X axis between this and the supplied vector
The vector to calculate the distance from
The distance, along the x axis, between this and the supplied vector
Calculated the distance on the Y axis between this and the supplied vector
The vector to calculate the distance from
The distance, along the y axis, between this and the supplied vector
Calculated the distance on the Z axis between this and the supplied vector
The vector to calculate the distance from
The distance, along the y axis, between this and the supplied vector
Divides the vector by a scalar.
The scalar to divide both x and y by
Returns itself, modified
Clones the vector and divides it by the provided scalar.
The scalar to divide both x and y by
Returns the clone of itself, modified
Calculates the dot product between this and a supplied vector
The vector object against which to calculate the dot product
The dot product of the two vectors
Inverses the vector.
Returns itself, modified
Clones the vector and then inverses it.
Returns itself, modified
Multiplies the vector by a scalar.
The scalar to multiply both x and y by
Returns itself, modified
Clones the vector and multiplies it by the provided scalar.
The scalar to multiply both x and y by
Returns the clone of itself, modified
Negates the vector.
Returns itself, modified
Clones the vector and negates it.
Returns itself, modified
Normalises the vector down to a length of 1 unit
Returns itself, modified
Clones the vector and normalises it
Returns a clone of itself, modified
Resets the vector coordinates
Alias of {@link Vector#multiplyScalar__anchor multiplyScalar}
Alias of {@link Vector#multiplyScalarNew__anchor multiplyScalarNew}
Subtracts a scalar from the vector, modifying both the x and y
The scalar to subtract from the vector
Returns itself, modified
Clones the vector and subtracts the scalar from it instead
The scalar to add to the vector
Returns the clone of itself, modified
Iterpolates a provided anonymous value into a vew Vec3
The value to interpolate
out
Generated using TypeDoc
A basic 3D Vector class that provides simple algebraic functionality in the form of 3D Vectors.
We use Getters/setters for both principle properties (x & y) as well as virtual properties (rotation, length etc.).
Liam Egan<EMAIL_ADDRESS>1.0.0
Jan 07, 2020


react-aria-menubutton demo
Some interactions you should try
-
Click the trigger to toggle the menu.
-
With focus on the trigger, press Enter or Space to toggle the menu.
-
With the menu closed and focus on the trigger, press ArrowDown to open the menu and move focus to the first menu item.
-
With the menu opened, press ArrowDown or ArrowUp to cycle focus through the menu items.
-
With the menu opened, press letter keys to navigate to items that start with whatever you type.
-
With the menu opened, click a menu item to fire the handler.
-
With the menu opened, use the keyboard to move focus to a menu item and press Enter or Space to fire the handler.
-
With the menu opened and focus on either the trigger or a menu item, move focus outside of the menu — by clicking outside of it or pressing Tab — to close the menu.
-
With the menu opened, press Escape to close the menu and return focus to the trigger.
All of these keyboard interactions follow the
WAI-ARIA Design Pattern for
Menu Button.
Possibilities for Fanciness
The provided components — the Button, the Menu, and the MenuItem — are just "smart" components to wrap whatever "dumb" components you want to be a part of the Menu Button pattern you're building — i.e. they just wrap your components to provide the keyboard functionality described above and some ARIA attributes.
This means that you can use any React element within the Button, Menu, or MenuItems.
Which means that nothing can stop you.
To demonstrate, here's a fancier but equally ARIA-compliant and keyboard-friendly menu button:
Notice a few features:
-
Complex markup within the button
-
Complex markup within the menu items
-
Navigating the menu with letters keys still makes sense
-
Open-close animation (using React's CSSTransitionGroup)
Great, now what do I do?
Go back to the repo
Icons in fancy demo from Ballicons by PixelBuddha.


SUGAR HILL A film review by James Berardinelli Copyright 1994 James Berardinelli
Rating (Linear 0 to 10): 5.3
Date Released: 2/25/93 Running Length: 2:02 Rated: R (Language, violence, sexual situations, drug use)
Starring: Wesley Snipes, Michael Wright, Theresa Randle, Abe Vigoda, Clarence Williams III, Ernie Hudson Director: Leon Ichaso Producers: Rudy Langlais and Gregory Brown Screenplay: Barry Michael Cooper Music: Terence Blanchard Released by Twentieth-Century Fox
SUGAR HILL, a moody, atmospheric tale of violence and drugs on the streets of modern-day Harlem, moves along too slowly for its own good. While the story doesn't score points for originality, the themes addressed are important and immediate, and ultimately it's a failure in execution that keeps this film from joining the ranks of a number of recent, memorable pictures chronicling life on the streets and in the ghettos.
Romillo Skuggs (Wesley Snipes) and his older brother Ray (Michael Wright) grew up in Harlem with junkies for a mother and father. At an early age, the boys began working for one of the local bosses, Gus (Abe Vigoda). As the years went by, their influence and power expanded, until they have become the premier drug dealers in the neighborhood, wielding power to be reckoned with. But Romillo is becoming disillusioned with his life of crime, and is desperately seeking a way out, even as Ray tries to keep the "team" together. Things get more complicated as another player (Ernie Hudson) enters the local drug game, and the killings that start threaten to ignite into a full-scale street war.
With a brooding jazz score and dark, gloomy cinematography that highlights shadows, SUGAR HILL is a masterpiece of atmosphere. It has a stylish feel that lends a romanticized aura to its depiction of gangsters and violence. This film does not have the punch-in-the-guts realism of a BOYZ 'N THE HOOD or a MENACE II SOCIETY, nor does it have the quality or scope of THE GODFATHER. The 40s aura allows us to keep all but the most brutal moments of SUGAR HILL at arm's length.
The tale of a high-ranking criminal trying to go straight has been the central focus of numerous movies. If done right, it can be a fascinating topic. SUGAR HILL, however, having decided on the premise, can't figure out how to execute it. The script meanders for nearly two hours, with numerous scenes dragging on for too long. There is rarely any tension or energy--of either the dramatic or action-oriented variety.
Presumably, one of the reasons for the uneven, plodding tone is to allow for character development. In that, the filmmakers have underestimated their first half-hour. A quarter of the way into the film, Romillo and Ray are already fully fleshed out. The additional talky scenes add little to the relationship or the individuals, and Romillo's constant repetition of the refrain "I've got to get out of here" becomes tedious.
Wesley Snipes, who appears capable of playing almost any sort of character, from action hero to paraplegic, turns in another capable performance as Romillo. This is certainly not his best role, but the actor understands the character whose identity he has taken on, and manages to present a man capable of capturing the audience's sympathy without compromising the essence of his personality.
The weak link in the film may be Michael Wright, who plays Ray. Only occasionally convincing, Mr. Wright picks one of the most inopportune moments to act beyond the boundaries of believability: the all-important climactic moment. This rather heavy-handed scene had the misfortune of receiving a smattering of unintentional laughter within the darkened confines of the theater where I viewed the film.
The moral of SUGAR HILL is "don't do drugs," and this message is presented in an obvious and uninspired manner. The preachiness becomes a little irritating, whether in words (Mr. Snipes' opening voiceover) or in deeds (every act of drug use leads to unpleasant consequences--often death).
Still, this picture's most obvious flaw has nothing to do with its sermonizing. The problem lies instead with its somniferous pacing. SUGAR HILL moves with all the speed of molasses.
- James Berardinelli<EMAIL_ADDRESS>.
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


Getting Started¶
The module is easy to use and you can get started with django-google-address in just a few minutes.
Installing¶
Install the module like any other python module:
pip install django-google-address
Add it to INSTALLED_APPS on settings.py:
INSTALLED_APPS = [ ..., 'google_address' ]
Migrate:
./manage.py migrate
Configuring¶
There are two settings you can and should use to make the module work correctly. Here is an example of such configuration:
GOOGLE_ADDRESS = {
'API_KEY': 'BIzaSyFCcHqskKlpsUJ5jdQGVzdP-7uNu9O4g8w'
'API_LANGUAGE': 'en_US'
}
You can read more about configuring at Settings section.
Using¶
Create an Address object with the raw address. Requests will be made to the Google API when saving the address:
>>> from google_address.models import Address
>>> a = Address(raw="Av. Paulista, 1000")
>>> a.save()
>>> a.address_line
'Avenida Paulista, 1000, Bela Vista, São Paulo, SP, Brazil'
You can easily use foreign keys to the model:
class Building(models.Model):
address = models.ForeignKey('google_address.Address')


From Pat's Family to Yours
Seattle's Famous Salmon Cookies
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skalibs
Software
www.skarnet.org
The unixonacid library interface
libunixonacid provides higher-level interfaces to Unix
concepts such as the filesystem - for instance, it provides a way to
access several files atomically, be it for reading or for writing - or
interprocess communication.
Compiling
- Add /package/prog/skalibs/include, or wherever you installed
your header files, to your header directory list
- Use #include "unixonacid.h"
Linking
- For static linking: add /package/prog/skalibs/library,
or wherever you installed your .a files, to your library directory list.
- For dynamic linking: add /package/prog/skalibs/library.so,
or wherever you installed your .so files, to your library directory list -
and make sure to properly edit your ld.so.conf file and to run
ldconfig if needed.
- Link with -lunixonacid.a -lrandom -lstdcrypto -lstddjb
`cat /package/prog/skalibs/sysdeps/taianow.lib` (or wherever you
installed the taianow.lib sysdep file)
- If you're using EGD, also add
`cat /package/prog/skalibs/sysdeps/socket.lib` (or wherever you
installed the socket.lib sysdep file) to your
compiler command line for linking.
Programming
The unixonacid.h header is actually a concatenation of other
headers, every one of each declaring related structures, macros and
functions.


Who Pays Speakers?
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GuardApp provides practial solutions to your property security. We aim to facilitate you to guard, secure and monitor your assets with our support, experience and expertise.
This is a unique product that puts security back into your hands.
Our state of the art camera technology will allow you to connect your phone, tablet or computer and secure your assets yourself.
Alex is a former British Army Officer, who specialised in surveillance and reconnaissance on active operations, before moving into the security sector, leading surveillance teams and conducting in depth security reviews globally.
Mark is a mobile application developer, who specialises in writing code and developing technologies in the rural environment.
Mark is a mobile application developer, who specialises in writing code and developing technologies in the rural environment.


Joel Schow is a undergraduate student at University of California San Diego. He is majoring in computer science, with a minor in Economics. He was also a member of the NCAA Men's Volleyball Team for three years.


Dear Friend, Please as you read this, I don't want you to feel sorry for me, because, I believe everyone will die someday. My name is Mr. John Naveed, a merchant from Dubai, in the U.A.E. I have been diagnosed with Oesophageal cancer. It has defiled all forms of medical treatment, and right now I have only about a few months to live, according to medical experts. I have not particularly lived my life so well as a good person, as I never really cared for anyone (not even myself) but my business. Though I am very rich, I was never Generous, I was always hostile to people and only focused on my business as that was the only thing I cared for. But now I regret all this, as I now know that there is more to life than just wanting to have or make all the money in the world. I believe when God gives me a second chance to come to this world I would live my life a different way from how I have lived it. Now that God has called me and at the point of death, I have willed and given most of my property and assets to my immediate and extended family members as well as a few close family friends. I want God to be merciful to me and accept my soul, so I have decided to give alms to charity organizations, as I want this to be one of the last good deeds I do on earth. So far, I have distributed money to some charity organizations in the U.A.E, Malaysia and some countries in Africa. Now that my health has deteriorated so badly, I cannot do so many things by myself anymore. I once asked members of my family to close one of my accounts and distribute the money that I have there to charity organization in Bulgaria and Pakistan, they refused and selfishly kept the money to themselves. Hence, I do not trust them anymore, as they seem not to be contended with what I have left for them. The last of my money which no one knows of is the huge cash deposit of eleven million dollars $11,000,000,00 that I have with a finance/Security Company abroad. I will want you to help me collect this deposit and dispatched it to various charity organizations. I have set aside some part of this deposit for you as compensation for your time and any inconvenience this will cost you. You can also contact me on<EMAIL_ADDRESS>God be with you. Mr. John Naveed


Enter a notebook filename:
About Notebook and Gist Exec
Gist exec pairs gists through github.js and the Jupyter architecture to get compute dynamically. Notebookexec (the thing you are looking at) is a trimmed down version which loads notebooks from this webserver and then uses the Jupyter architecture to get compute dynamically. It only supports IPython/Jupyter notebooks.
It runs Jupyter kernels inside of Docker containers, through a temporary notebook system. The frontend exposed here is O'Reilly Media's Thebe.
There is no network access and operations are limited. If you find a bug, report it.
Hosting for the kernels is provided by developer.rackspace.com.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/How.20to.20change.20the.20.60.23eval.60.20duration.3F.html ---
It times out too quickly for the game I am trying to run it on. I am not expecting much from Lean here, but I want to get a sense how long it takes it to run even a single iteration. In addition to removing timeout is there a way to do #eval
with timing included?
If it's a deterministic timeout then you can change the timeout parameter. I think it's -T if you're running Lean from the command line, and in VS Code just search in settings->preferences for lean timeout
And there's always #reduce
which is either far quicker or far slower, I can never remember which is which
I remember reading that #eval
is faster. Also, thanks I'll give it a shot.
Last updated: Apr 24 2020 at 19:02 UTC


9. Using OpenDSA with the Khan Academy infrastructure¶
We use the Khan Academy (KA) infrastructure for writing questions. KA supplies some documentation at their wiki.
In the rest of this section, we will go through examples of the most common question types used in OpenDSA.
In general, each given question gets defined in its own HTML file (with an associated JavaScript file if necessary). This promotes maximum flexibility and reuse. New exercises are normally stored in ~OpenDSA/Exercises/Development until they have been reviewed.
9.1. Summary Exercises¶
Individual questions, as appropriate, can be grouped together into “summary” exercise. These can in turn be grouped together into a broader summary, such as an end-of-chapter review. ~OpenDSA/Exercises/Background/IntroSumm.html provides a typical example. If you are creating a new summary exercie, you can copy this file and start by changing the title on line 4. Note that the two library includes on lines 5 and 6 are needed for all Khan Academy exercises within OpenDSA. Replace lines 9-16 with your exercises, one per line, using the same format as these lines use. Note that data-name takes a file name using a path relative to the summary exercise.
9.2. Math and Variables¶
You can include math (in LaTeX notation) by bracketing it in . See ~OpenDSA/Exercises/Background/MthBgMCQperm.html for simple examples.
You can define variables to generate random values or compute results. ~OpenDSA/Exercises/List/ListOverhead.html shows an example. It also shows simple use of JavaScript for computation, but anything more complicated than this should separate the JavaScript into a separate file (see examples below).
9.3. True/False Questions¶
~OpenDSA/Exercises/Design/CompareTF2.html is an example of a typical simple T/F question. Simply change the question in the “question” paragraph, set “solution” to be True or False, and set the hints.
ALL questions (aside from summary exercises) should have at least one hint!
~OpenDSA/Exercises/Design/CompareTF1.html shows use of simple alternate wording, called a “spin”. Note the required change in line 2 to load “spin” support.
~OpenDSA/Exercises/Background/SetTFequivrel.html shows sophisticated use of variables to generate a variety of questions. It also shows use of katex functionality to support interpretation of math inside a string (not a typical problem that you will encounter).
9.4. Multiple Choice Questions¶
The simplest form of MCQ is shown in ~OpenDSA/Exercises/Background/IntroMCQeff.html. Just change your title, your question, the text for the choices (add as many as you like), and the hints. This style of MCQ will show the answer string and the choices strings, all arranged in random order each time the question is presented. Note that the correct answer is not included as a choice. In contrast, T/F questions are a special type of MCQ where the question choices are given in the specified order (and the correct answer is therefore also one of the listed choices). ~OpenDSA/Exercises/Design/CompareMCQ4.html is an MCQ with fixed choices.
~OpenDSA/Exercises/Binary/HparentMCQ.html shows a somewhat different approach. Line 18 has two key flags. data-show is set to 4, meaning that 4 choices will be shown. data-none is set to true, which means that the choice None of the above will always appear. Counting the correct answer, the four distractors, and None of the above, this means that there are six possible choices to display (None of the above will appear last, and three of the other five will appear at random). When the correct answer is not shown, None of the above becomes the correct answer. If a student chooses that, then the correct answer is shown after clicking the Check answer button.
9.5. Fill-in-the-Blank Questions¶
See ~OpenDSA/Exercises/Background/MthBgFIBlgbs1.html for simple FIB formatting. It is important to understand that the KA framework provides support for processing certain types of student inputs. The simplest approach is to do an exact string match, as in this simple example. This is indicated by the fact that line 15 includes the tag data-type="text" (even though the student answer is actually a number, they have type it exactly this way). ~OpenDSA/Exercises/Background/AlgAnlsFIBsqrt.html shows off two different features. It will allow the student to type either of two diffrent answers: the string “1/2” or anything that is the decimal equivalent to 0.5.
~OpenDSA/Exercises/Background/MthBgFIBstckfn.html uses custom JavaScript to interpret student answer. Note the specific syntax of lines 33-40 that you can use as a template. Again, anything more than a few lines of code should be separated into its own JavaScript file, as described next. For more details about what is going on here, see the KA wiki.
9.6. Using JavaScript and JSAV within the Khan Academy Framework¶
Using JavaScript in a KA exercise requires some non-standard processing (since these are not vanilla HTML files). We also include in our client-side framework special features to support including JSAV visualization elements.
~OpenDSA/Exercises/AlgAnal/GrowthRatesPRO.html and ~OpenDSA/Exercises/AlgAnal/GrowthRatesPRO.js show a simple example. Note line 6 of the HTML file, where CompareGrowth is referenced. This is defining the name of the JavaScript file to include (normally the name has to match that of the HTML file, otherwise the search process will be looking in other places for the file). Note the syntax used on line 30 of compareGrowth.checkAnswer. This tells the exercise to look for the definition of function checkAnswer externally (in the JavaScript file). The first 4 and last 2 lines of this JavaScript file should be copied verbatim to your file, changing the name compareGrowth to the corresponding name that you use. It is relevant that the name matches the file name, with the first letter in lower case. Any functions or variables that are to be “exported” to the HTML file need to be in the equivalent to the compareGrowth object. Other functions can be defined outside of that object in normal fashion.
~OpenDSA/Exercises/AlgAnal/GrowthRatesPRO.html and ~OpenDSA/Exercises/AlgAnal/GrowthRatesPRO.js show a relatively simple example of using JSAV with the Khan Academy framework. Note that all of the following naming conventions should be observed unless you know what you are doing when you change it.
Line 7 of the HTML file requires that jsav be included, along with the name of the exercise file (which must be the same as the matching .js file to be included. Exercise file names (and their JavaScript file) must begin with a capital letter.
Any required CSS styling is included in the .html file for the exercise. Be aware that many elements have defined styles already that should not be overwritten without cause. GrowthRatesPRO is a rare exception in that it explicitly needs to define the JSAV array cells to be large. Most JSAV-based exercises have only a height value, and all CSS elements should include the file name to keep from colliding namespace with other parts of the page. Never adjust the width of the .jsavcanvas. You have no reason to make it narrower than the default, and you will probably break things if you make it wider.
The body tag (Line 12) must include the data-height and data-width fields. Always set ``data-width="950". Make sure that the height can accommodate the hints when they are displayed.
The div tag on line 44 has an ID field whose name is the exercise name with “p” added at the end. The div tag on line 52 has an ID field whose name is the exercise name. Any variables or functions imported from the JavaScript is preceeded with the exercise name, but with the first letter in lower case. Lines 54-63 should use this syntax, with the exercise name changed as appropriate.
Moving to the JavaScript file, we first see that window is always tagged as a global. Any other global packages (in this case, katex would appear there as well. We always use the functional version for the "use strict" directive, so as not to break other JavaScript loaded on the page (in particular, the KA framework code won’t work under strict rules).
Any functions or variables to be exported to the HTML file must be declared inside an object that uses the exercise name, with the initial letter changed to lower case. We must use the declaration syntax shown for the declarations in the object. Any other functions and variables that we want to create, outside the scope of the object, can use your preferred JavaScript declaration syntax. Note the last two lines of the file, where the object name is exported.
The JSAV object must be declared with the exercise name for its parameter. It is petty much universal that the JSAV objects appear as a static display (that is, not a JSAV slideshow). Lines 86-90 show the standard format for this section, beginning with creating the JSAV object, followed by setting out any JSAV objects (this one is pretty simple in that there is only a single JSAV array), followed by the displayInit and recorded to get the elements displayed on the HTML page.
9.7. Naming Conventions¶
Summary exercises should always be given names of the form <topicname>Summ.html.
T/F questions should have file names as <topicname>TF<question>.html. Multiple choice questions should be named as <topicname>MCQ<question>.html. Fill-in-the-blank questions should be named as <topicname>FIB<question>.html. It is bad style to use counts (like 1, 2, 3) for the <question> part in the name for a series of questions.
Proficiency exercises should be named as <topicname>PRO.html. A proficiency exercise is something where the student must manipulate a data structure (including any exercise where the user interface for answering the question is to click or drag JSAV objects), or sometimes work a problem to reach an answer. In the case where students do a computation to complete a fill-in-the-blank problem, this might be a matter of judgement on how to name it. Generally, a fill-in-the-blanks question that generates random problem instances and is presented as a stand-alone exercise to students should probably be named as a proficiency exercise.
9.8. Common Errors¶
Your exercise might generate a console error that looks like:
Error while evaluating var#JSAV
khan-exercise.js:359 TypeError: Cannot read property 'id' of undefined(…)
This is a common problem. Nearly always, it means that either you forgot to include jsav in the data-require field of the  tag, or else you got the names wrong somewhere for the divs.


Search on this site to find clinical trials and register to get more information or participate in them
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Bookmarksdropdown Get This Extension For Firefox En Us
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検索バーを Firefox ツールバーに追加する Firefox ヘルプ
Enable Trend Micro Toolbar In Mozilla Firefox Trend Micro For Home
Firefox Gives You More Control Over Your Privacy The Mozilla Blog
Import Bookmarks And Other Data From Google Chrome Firefox Help
Enable Trend Micro Toolbar On Web Browsers In Windows 10 Trend Micro For Home
Download Progress Not Visible Though Files Are Being Downloaded Firefox Support Forum Mozilla Support
Customize Firefox Controls Buttons And Toolbars Firefox Help
Responsive Design Mode Firefox Developer Tools Mdn
Search By Image Get This Extension For Firefox En Us
Download Google Toolbar For Windows 7 10 Internet Explorer Firefox Toolbar Firefox Windows
Firefox Wikipedia
Install Trend Micro Toolbar In Mozilla Firefox On Mac Trend Micro For Home
Pin On Google Toolbar
Export Firefox Bookmarks To An Html File To Back Up Or Transfer Bookmarks Firefox Help
Missing Trend Micro Toolbar In Google Chrome For Windows Trend Micro For Home
Enable Create Pdf Extension For Mozilla Firefox Adobe Acrobat
Google Toolbar
Download Manager S3 Get This Extension For Firefox En Us
Firefox ウェブブラウザー をapp Storeで
Google Toolbar For Firefox Download
Chrome Is Turning Into The New Internet Explorer 6 The Verge
Download Firefox Browser Fast Private Free From Mozilla
Installing The Avast Secureline Vpn Browser Extension On Windows And Mac Avast
Needed For Chrome The Google Toolbar
Enable Trend Micro Plug Ins And Extensions Trend Micro For Home
If You Don T See The 1password Icon In Your Browser S Toolbar
Firefox Private Safe Browser On The App Store
Http Www Tnstate Edu Cit Remove Any Toolbar From Internet Explorer Pdf
A Tour Of A Pay To Download Firefox Site
Google Toolbar Fail Doesn T Work On Chrome Techcrunch


I currently am a student attending Epicodus
Hello, thank you for visiting. Every week at Epicodus we work on pair programming Monday-Thursday where we we work in pairs to learn and apply concepts in programming. This is our first introductory week where we learned basic git commands, HTML, CSS, and recently Bootstrap! We are given code as well as writing our own. With pair programming one person controls the mouse and proofreads, while the other types. This is beneficial because learning is very interactive and both have input in what occurs during class and coding. On Friday is an independent project where we work individually and apply skills we learned as pairs in class.
Hi, I'm Kenneth! I was born and raised in Kansas City, Missouri. I am currently 21 years old and I was born on .February 9th, 1997. I am from a half-Chinese, half-Vietnamese heritage. I also speak Cantonese. My hobbies include basketball, video games, and traveling.I love trying new food so my preference for style in no particular order is Indian, Cantonese, and Mexican food. In term of basketball I love the NBA, so coming from Kansas City we had no team; therefore, I affiliate the Boston Celtics as my favorite team because:
Out of high school and going into college I was aspired to be an engineer, but going into my third year of college I lost my drive to pursue that route for my own personal reasons and traveled instead. Now, I am here attending Epicodus to explore my options in developing and see where this can lead. I really like Seattle, so now I am here. I consider myself to be tech-savvy, so I will see where this routes takes me.


CONTACT
We value our clients. If you have any questions or you would like to place an order with us directly you can either call us or just fill the form and we will get back to you.
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EMAIL<EMAIL_ADDRESS>Join my Exclusive Facebook Group for Fitness Trainers - Click here to apply


Acne is a skin condition that occurs when your hair follicles become plugged with oil and dead skin cells. It causes whiteheads, blackheads or pimples. Acne is most common among teenagers, though it affects people of all ages.
Acne signs vary depending on the severity of your condition.
If self-care remedies don't clear your acne, see your primary care doctor. He or she can prescribe stronger medications. If acne persists or is severe, you may want to seek medical treatment from a doctor who specializes in the skin (dermatologist or pediatric dermatologist).


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|
ANNOTATE.annotate_missense()
|
Annotate any missense variants |
|
ANNOTATE.plot_missense()
|
Plot any missense variants |
|
BST1
|
echolocatoR output example (BST1 locus) |
|
BST1_LD_matrix
|
LD with the lead SNP (BST1 locus) |
|
COJO()
|
Run GCTA-COJO |
|
COJO.conditional()
|
Run GCTA-COJO conditional analysis |
|
COJO.stepwise()
|
Run GCTA-COJO conditional stepwise procedure |
|
CONDA.activate_env()
|
Activate conda env |
|
CONDA.create_echoR_env()
|
Create conda env for echolocatoR |
|
CONDA.find_env_Rlib()
|
Find the R library for a specific env |
|
CONDA.find_python_path()
|
Find the python file for a specific env |
|
CONDA.install()
|
Install conda if it's missing |
|
CONDA.install_reticulate()
|
Install reticulate |
|
CORCES_2020.HiChIP_FitHiChIP_loop_calls
|
FitHiChIP loop calls from human brain tissue |
|
CORCES_2020.bulkATACseq_peaks
|
bulkATACseq peaks from human brain tissue |
|
CORCES_2020.cicero_coaccessibility
|
Cicero_coaccessibility from human brain tissue |
|
CORCES_2020.get_ATAC_peak_overlap()
|
Get overlap between datatable of SNPs and scATAC peaks |
|
CORCES_2020.get_HiChIP_FitHiChIP_overlap()
|
Get overlap between data table of SNPs and HiChIP_FitHiChIP coaccessibility anchors |
|
CORCES_2020.prepare_bulkATAC_peak_overlap()
|
Prepare data to plot overlap between datatable of SNPs and
cell-type-specific epigenomic peaks and coaccessibility data. |
|
CORCES_2020.prepare_scATAC_peak_overlap()
|
Prepare data to plot overlap between datatable of SNPs and
cell-type-specific epigenomic peaks and coaccessibility data. |
|
CORCES_2020.scATACseq_celltype_peaks
|
scATACseq cell type-specific peaks from human brain tissue |
|
CORCES_2020.scATACseq_peaks
|
scATACseq peaks from human brain tissue |
|
DEEPLEARNING.melt()
|
Melt deep learning annotations into long-format |
|
DEEPLEARNING.plot()
|
Plot deep learning predictions |
|
DEEPLEARNING.query()
|
Iteratively collect deep learning annotations |
|
DEEPLEARNING.query_multi_chr()
|
Query deep learning annotations and LDscores (iterate) |
|
DEEPLEARNING.query_one_chr()
|
Query deep learning annotations and LDscores |
|
Directory_info()
|
Retrieve the location of summary stats files |
|
GITHUB.portal_query()
|
Search and download fine-mapping files |
|
GOSHIFTER()
|
Run GoShifter enrichment pipeline |
|
GOSHIFTER.create_LD()
|
Prepare LD input for GoShifter |
|
GOSHIFTER.create_snpmap()
|
Prepare SNP input for GoShifter |
|
GOSHIFTER.run()
|
Run GoShifter enrichment test |
|
IMPACT_annotation_key
|
IMPACT annotation key |
|
LD.fill_NA()
|
Fill NAs in an LD matrix |
|
LD.get_lead_r2()
|
Find correlates of the lead GWAS/QTL SNP |
|
LDlinkR.LDproxy_batch()
|
Extract LD proxies from 1KGphase3 |
|
LIFTOVER()
|
Lift genome across builds |
|
LRRK2
|
echolocatoR output example (LRRK2 locus) |
|
MEX3C
|
echolocatoR output example (MEX3C locus) |
|
MOTIFBREAKR()
|
Run motifbreakR |
|
MOTIFBREAKR.filter()
|
Summarise motifbreakR + echolocatoR results |
|
MOTIFBREAKR.plot()
|
Plot motifbreakR results |
|
NOTT_2019.bigwig_metadata
|
Metadata and links to data |
|
NOTT_2019.interactome
|
Brain cell type-specific enhancers, promoters, and interactomes |
|
NOTT_2019.superenhancer_interactome
|
Brain cell type-specific interactomes with superenhancers |
|
Nalls_top_SNPs
|
TopSS example file |
|
PAINTOR.help_menu()
|
Show PAINTOR help menu |
|
PAINTOR.import_QTL_DT()
|
Import QTL data for PAINTOR |
|
PAINTOR.merge_results()
|
Merge PAINTOR results |
|
PAINTOR.process_results()
|
Process PAINTOR results |
|
PAINTOR.run()
|
Run PAINTOR |
|
PAINTOR.survey_annotation()
|
Report the number of annotations > 0 |
|
PLOT.dot_summary()
|
Multi-fine-map summary dot plot |
|
PLOT.locus()
|
Generate a locus plot |
|
PLOT.transcript_model_track()
|
Plot gene/transcript models |
|
POLYFUN.get_ref_prefix()
|
Get ref data path prefix |
|
POLYFUN.h2_enrichment_SNPgroups_plot()
|
Plot heritability (h2) enrichment |
|
ROADMAP.construct_reference()
|
Gather Roadmap annotation metadata |
|
ROADMAP.merge_and_process_grl()
|
Standardize Roadmap query |
|
ROADMAP.query()
|
Query Roadmap by genomic coordinates |
|
ROADMAP.query_and_plot()
|
Query and plot Roadmap epigenomic annotations |
|
ROADMAP.tabix()
|
Query Roadmap API |
|
ROADMAP.track_plot()
|
Plot Roadmap query |
|
SPLICEAI.plot()
|
Plot SpliceAI predictions |
|
SPLICEAI.run()
|
Run pre-trained SpliceAI model to get predictions |
|
SPLICEAI.snp_probs()
|
Postprocess SpliceAI results after querying |
|
SPLICEAI.subset_precomputed_tsv()
|
Query genome-wide SpliceAI results file (tsv format) |
|
SPLICEAI.subset_precomputed_tsv_iterate()
|
Make multiple queries to genome-wide SpliceAI results file (tsv format) |
|
SPLICEAI.subset_precomputed_vcf()
|
Query genome-wide SpliceAI results file (vcf format) |
|
SUMMARISE.CS_bin_plot()
|
Plot CS bin counts |
|
SUMMARISE.CS_counts_plot()
|
Bar plot of tool-specific CS sizes |
|
SUMMARISE.cell_type_specificity()
|
Get cell-type-specifity score for each cell type |
|
SUMMARISE.coloc_nominated_eGenes()
|
Nominate target genes within each locus |
|
SUMMARISE.get_CS_bins()
|
Count bins of tool-specific and union CS sizes |
|
SUMMARISE.get_CS_counts()
|
Tally tool-specific and union CS sizes |
|
SUMMARISE.get_SNPgroup_counts()
|
Tally locus-specific SNP group sizes |
|
SUMMARISE.plot_dataset_overlap()
|
Plot inter-study SNP overlap |
|
SURE.download_annotations()
|
Download SuRE annotations |
|
SURE.melt_snp_groups()
|
Aggregate SuRE p-values for each SNP group |
|
SURE.merge()
|
Merge with fine-mapping and SuRE results |
|
SURE.plot()
|
Plot SuRE results across SNP groups |
|
SUSIE()
|
Fine-map with SUSIE |
|
TABIX()
|
Covert and query |
|
TABIX.convert_file()
|
Convert summary stats file to tabix format |
|
TABIX.query()
|
Query a tabix file |
|
VALIDATION.bootstrap()
|
Perform validation bootstrap procedure |
|
VALIDATION.bootstrap_multimetric()
|
Conduct bootstrap procedure on multiple columns |
|
VALIDATION.bootstrap_plot()
|
Plot permutation test results |
|
VALIDATION.compare_bootstrap_distributions()
|
Test whether permutation p-value distributions are different |
|
VALIDATION.compare_support()
|
Check whether Support level correlates with some variable |
|
VALIDATION.permute()
|
Validation permutation tests |
|
VALIDATION.super_plot()
|
Merge validation assays into a single plot |
|
XGR.enrichment()
|
XGR enrichment |
|
XGR.enrichment_bootstrap()
|
XGR enrichment (bootstrapped) |
|
XGR.enrichment_plot()
|
Plot enrichment results |
|
auto_topSNPs_sub()
|
Automatically identify top SNP per locus |
|
calculate_tstat()
|
Compute t-stat |
|
check_necessary_cols()
|
Check for necessary columns |
|
dataframe_2_vcf()
|
Convert a dataframe to a vcf |
|
detect_genes()
|
Detect QTL genes in full summary stats file |
|
echolocatoR-package
|
echolocatoR: Automated genomic fine-mapping |
|
extra_installs()
|
Install tricky R packages |
|
finemap_loci()
|
Fine-map multiple loci |
|
finemap_pipeline()
|
Run echolocatoR pipeline on a single locus |
|
fullSS_dat
|
"Example subset of full summary stats |
|
gene_locus_list()
|
Generate a named list of [e]gene-locus pairs |
|
genome_wide_dir
|
Example results path for genome-wide results |
|
get_UKB_MAF()
|
Get MAF from UK Biobank. |
|
get_stepwise_results()
|
Gather stepwise conditional results |
|
import.bw.filt()
|
Import a subset of a bigwig file
based on the coordinates in a GRanges object (gr.dat). |
|
import_topSNPs()
|
Import top GWAS/QTL summary statistics |
|
install_tricky_packages()
|
Install tricky packages |
|
locus_dir
|
Example results path for BST1 locus |
|
merge_celltype_specific_epigenomics()
|
Merge all cell-type-specific epigenomics |
|
merge_finemapping_results()
|
Merge fine-mapping results from all loci |
|
merge_finemapping_results_each()
|
Create full cross-locus merged files for each dataset,
then return a subset of those files as one super-merged table. |
|
merged_DT
|
echolocatoR output example (all loci) |
|
order_loci()
|
Order loci by UCS size, or alphabetically |
|
popDat_1KGphase1
|
Population metadata: 1KGphase1 |
|
popDat_1KGphase3
|
Population metadata: 1KGphase3 |
|
process_COJO_results()
|
Gather all GCTA-COJO results |
|
results_report()
|
Give a quick summary report of the fine-mapping results |
|
snps_to_condition()
|
Identify SNPs to condition on. |
|
standardize_subset()
|
Standardize the locus subset |
|
super_summary_plot()
|
Merge all summary plots into one super plot |
|
top_SNPs
|
TopSS example file (processed) |
|
update_cols()
|
Update CS cols |
|
vcf_cleaning()
|
Remove old vcf files |
|
xLiftOver()
|
Genome build liftover |


Utilities¶
Language identification¶
Pipeline for identifying the language of a text, using a model inspired by
Google’s Compact Language Detector v3 (https://github.com/google/cld3) and
implemented with scikit-learn>=0.20
.
Model¶
Character unigrams, bigrams, and trigrams are extracted from input text, and their frequencies of occurence within the text are counted. The full set of ngrams are then hashed into a 4096-dimensional feature vector with values given by the L2 norm of the counts. These features are passed into a Multi-layer Perceptron with a single hidden layer of 512 rectified linear units and a softmax output layer giving probabilities for ~140 different languages as ISO 639-1 language codes.
Technically, the model was implemented as a sklearn.pipeline.Pipeline
with two steps: a sklearn.feature_extraction.text.HashingVectorizer
for vectorizing input texts and a sklearn.neural_network.MLPClassifier
for multi-class language classification.
Dataset¶
The pipeline was trained on a randomized, stratified subset of ~750k texts drawn from several sources:
Tatoeba: A crowd-sourced collection of sentences and their translations into many languages. Style is relatively informal; subject matter is a variety of everyday things and goings-on. Source: https://tatoeba.org/eng/downloads.
Leipzig Corpora: A collection of corpora for many languages pulling from comparable sources – specifically, 10k Wikipedia articles from official database dumps and 10k news articles from either RSS feeds or web scrapes, when available. Style is relatively formal; subject matter is a variety of notable things and goings-on. Source: http://wortschatz.uni-leipzig.de/en/download
UDHR: The UN’s Universal Declaration of Human Rights document, translated into hundreds of languages and split into paragraphs. Style is formal; subject matter is fundamental human rights to be universally protected. Source: https://unicode.org/udhr/index.html
Twitter: A collection of tweets in each of ~70 languages, posted in July 2014, with languages assigned through a combination of models and human annotators. Style is informal; subject matter is whatever Twitter was going on about back then. Source: https://blog.twitter.com/engineering/en_us/a/2015/evaluating-language-identification-performance.html
DSLCC: Two collections of short excerpts of journalistic texts in a handful of language groups that are highly similar to each other. Style is relatively formal; subject matter is current events. Source: http://ttg.uni-saarland.de/resources/DSLCC/
Performance¶
The trained model achieved F1 = 0.96 when (macro and micro) averaged over all languages. A few languages have worse performance; for example, the two Norwegians (“nb” and “no”), Bosnian (“bs”) and Serbian (“sr”), and Bashkir (“ba”) and Tatar (“tt”) are often confused with each other. See the textacy-data releases for more details: https://github.com/bdewilde/textacy-data/releases/tag/lang_identifier_v1.1_sklearn_v21
-
class
textacy.lang_utils.
LangIdentifier
(data_dir=PosixPath('/Users/burtondewilde/chartbeat/github/textacy/textacy/data/lang_identifier'), max_text_len=1000)[source]¶ -
-
pipeline
¶ - Type
sklearn.pipeline.Pipeline
-
download
(force=False)[source]¶ Download the pipeline data as a Python version-specific compressed pickle file and save it to disk under the
LangIdentifier.data_dir
directory.- Parameters
force (bool) – If True, download the dataset, even if it already exists on disk under
data_dir
.
-
Cache¶
Functionality for caching language data and other NLP resources. Loading data from disk can be slow; let’s just do it once and forget about it. :)
-
textacy.cache.
LRU_CACHE
= LRUCache([], maxsize=2147483648, currsize=0)¶ Least Recently Used (LRU) cache for loaded data.
The max cache size may be set by the TEXTACY_MAX_CACHE_SIZE environment variable, where the value must be an integer (in bytes). Otherwise, the max size is 2GB.
- Type
cachetools.LRUCache


SQL Cheat Sheet
by Jim O'Neal on January 6, 2016
SQL is a programming language designed to manipulate and manage data stored in relational databases. A relational database is a database that organizes information into one or more tables. A table is a collection of data organized into rows and columns. A statement is a string of characters that the database recognizes as a valid command.
CREATE TABLE creates a new table.
INSERT INTO adds a new row to a table.
SELECT queries data from a table.
UPDATE edits a row in a table.
ALTER TABLE changes an existing table.
DELETE FROM deletes rows from a table.
WHERE is a popular command that lets you filter the results of the query based on conditions that you specify.
LIKE and BETWEEN are special operators that can be used in a WHERE clause.
AND and OR are special operators that you can use with WHERE to filter the query on two or more conditions.
ORDER BY lets you sort the results of the query in either ascending or descending order.
LIMIT lets you specify the maximum number of rows that the query will return. This is especially important in large tables that have thousands or even millions of rows.
Examples:
SELECT name, imdb_rating FROM movies;
SELECT * FROM movies WHERE imdb_rating > 8;
SELECT * FROM movies WHERE name LIKE 'Se_en';
SELECT * FROM movies WHERE name LIKE '%man%';
SELECT * FROM movies WHERE name BETWEEN 'A' AND 'J';
SELECT * FROM movies WHERE year BETWEEN 1990 AND 2000 AND genre = 'comedy';
SELECT * FROM movies ORDER BY imdb_rating DESC;
SELECT * FROM books WHERE author="Jodi Picoult" ORDER BY year_published;
(Note: 'DESC' means descending and 'ASC' means ascending)
SQL Aggregate Functions:
Aggregate functions combine multiple rows together to form a single value of more meaningful information.
COUNT takes the name of a column(s) as an argument and counts the number of rows where the value(s) is not NULL.
GROUP BY is a clause used with aggregate functions to combine data from one or more columns.
SUM() takes the column name as an argument and returns the sum of all the values in that column.
MAX() takes the column name as an argument and returns the largest value in that column.
MIN() takes the column name as an argument and returns the smallest value in that column.
AVG() takes a column name as an argument and returns the average value for that column.
ROUND() takes two arguments, a column name and the number of decimal places to round the values in that column.
Examples:
SELECT price, ROUND(AVG(downloads)) FROM fake_apps GROUP BY price;
SQL Multiple Tables:
Primary Key is a column that serves a unique identifier for row in the table. Values in this column must be unique and cannot be NULL.
Foreign Key is a column that contains the primary key to another table in the database. It is used to identify a particular row in the referenced table.
Joins are used in SQL to combine data from multiple tables.
INNER JOIN will combine rows from different tables if the join condition is true.
LEFT OUTER JOIN will return every row in the left table, and if the join condition is not met, NULL values are used to fill in the columns from the right table.
AS is a keyword in SQL that allows you to rename a column or table in the result set using an alias.
Examples:
SELECT * FROM albums JOIN artists ON albums.artist_id = artists.id;
SELECT region_name, state_name FROM regions JOIN states ON regions.id = states.region_id ORDER BY region_id ASC;


In this text box, specify the string to be passed to the Dalvik
Virtual Machine for launching the Android application. If necessary, click
and type the desired string in the Android DX Compiler VM Options dialog.
When specifying JVM options, follow these rules:
-client -ea -Xmx1024m
.
some" "arg
or "some arg"
.
-Dmy.prop=\"quoted_value\"
.
MY_ENV_VAR
,
you can pass it to the foo
property as follows:
-Dfoo=${MY_ENV_VAR}


--- title: The Carol Syndrome layout: post ---
My friend Carol is nice and beautiful. Anyone would bet she has plenty of dates. But it turns out that this is not the case.
This is closely related to that scene in "A Beautiful Mind" that supposedly spurred John Nash to invent the concept of a Nash Equilibrium, but with actual maths in it ;-)


AMERICAN ME A film review by Frank Maloney Copyright 1992 Frank Maloney
AMERICAN ME is a film by Edward James Olmos. It was written by Floyd Mutrux and Desmond Nakano. It stars Olmos, William Forsythe, Pepe Serna, Evelina Fernandez. It is rated R for scenes of extreme violence.
AMERICAN ME is one of the darkest, grimmest, most unrelenting, and challenging movies I have ever seen. Honestly, I dreaded its start and only went in the first place because Lyndol insisted. And I have to say that I was completely captivated by the honesty and skill in its making. And I also have to say I would never volunteer to sit through it again. As Eliot said, "Humankind cannot stand too much reality."
This is the story of Santana, wonderfully played by Olmos, and of his friends, family, and community in the barrio of East Los Angeles. Santana is a ruthless killer who organizes a gang in Folsom state penitentiary. He convinces himself and others that his purpose is to help his people, but in the end he comes to realize that his real goal was power.
The violence begins with the Zoot Suit Riots of wartime L.A. and continues without intermission to the very end.  But the violence is all to a single purpose and entirely free of all imputations of exploitation. Olmos sees his movie strictly in didactic terms as a cautionary tale to young Santanas out there today. Olmos wants to show us how desperate the powerless are for respect (a theme that figures in one scene of the diametrically opposite GRAND CANYON, btw). He launches a full-scale assault on the cult of machismo. And he scares the hell of me and depresses me with the hopelessness of the cycle in a way few movies or documentaries have ever reached me.
Olmos achieved his first recognition in the Miami Vice TV series and then with his portrayal of East L.A. math teacher Jaime Escalante in STAND AND DELIVER, which role earned him an Oscar nomination.
The ensemble acting by the mostly unfamiliar ethic performers is fresh, original, and forceful. Especially to be commended are William Forsythe as JD and Pepe Serna as Mundo, Santana's closest henchmen, and Evelina Fernandez as the woman who sees most clearly who Santana is.
I can also recommend the editing of AMERICAN ME, which at times created in me an almost unbearable tension, as in a sequence that cuts between Santana on the outside on his first romantic encounter and a group of inmates on the inside moving along to a nearly unsupportable and horrifying climax that is simultaneously echoed to only a slighter degree on the outside. If it helps, you might try focusing on the technical excellence of this film, which is first rate.
I recommend AMERICAN ME to you. (The title is drawn from Beatrice Griffith's 1947 study of Mexican-American "Pachuco" culture.) The movie will rattle your cage, disturb your sureties, and reward you with a rare, if harrowing, movie experience of real substance. But be warned: "Abandon all hope," etc.
-- Frank Richard Aloysius Jude Maloney .
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


In a time where even for a "Hello World" project, you need to setup a whole build/transpile pipeline with webpack (or other tools), the goal of this project is to:
have a simple starter kit
without any build tool to configure
directly using UMD build
with a few simple examples (for ES6, React ...)
You can directly access the following examples online:


Thesis
[pdf] [demo] Seetharaman, P. (2019). Bootstrapping the Learning Process for Computer Audition (PhD thesis). Northwestern University.
Patents
Rafii, Z., & Seetharaman, P. (2018). Audio Identification Based on Data Structure.
Cremer, M. K., Rafii, Z., Coover, R., & Seetharaman, P. (2018). Automated Cover Song Identification.
Refereed Journal Articles
[pdf] [code] Tang, V., Seetharaman, P., Chao, K., Pardo, B., & van der Lee, S. (2020). Automating the Detection of Dynamically Triggered Earthquakes via a Deep Metric Learning Algorithm. Seismological Research Letters.
[pdf] Pardo, B., Cartwright, M., Seetharaman, P., & Kim, B. (2019). Learning to Build Natural Audio Production Interfaces. In Arts (Vol. 8, p. 110). Multidisciplinary Digital Publishing Institute.
[pdf] Humphrey, E. J., Reddy, S., Seetharaman, P., Kumar, A., Bittner, R. M., Demetriou, A., … others. (2018). An Introduction to Signal Processing for Singing-Voice Analysis: High Notes in the Effort to Automate the Understanding of Vocals in Music. IEEE Signal Processing Magazine, 36(1), 82–94.
[pdf] [demo] Seetharaman, P., & Pardo, B. (2016). Audealize: Crowdsourced Audio Production Tools. Journal of the Audio Engineering Society, 64(9), 683–695.
Refereed Conference Papers
[pdf] Liu, A., Seetharaman, P., & Pardo, B. (2020). Model Selection for Deep Audio Source Separation via Clustering Analysis. ArXiv Preprint ArXiv:1910.12626.
[pdf] Manilow, E., Seetharaman, P., & Pardo, B. (2020). Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments. ArXiv Preprint ArXiv:1910.12621.
[pdf] Seetharaman, P., Wichern, G., Roux, J. L., & Pardo, B. (2020). Bootstrapping Deep Music Separation from Primitive Auditory Grouping Principles. ArXiv Preprint ArXiv:1910.11133.
[pdf] [demo] Seetharaman, P. (2019). Bootstrapping the Learning Process for Computer Audition (PhD thesis). Northwestern University.
[pdf] Seetharaman, P., Mysore, G., Pardo, B., Smaragdis, P., & Gomes, C. (2019). VoiceAssist: Guiding Users to High-Quality Voice Recordings. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM.
[pdf] [data] Manilow, E., Wichern, G., Seetharaman, P., & Roux, J. L. (2019). Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity. In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.
[pdf] Pishdadian, F., Kim, B., Seetharaman, P., & Pardo, B. (2019). Classifying Non-Speech Vocals: Deep vs Signal Processing Representations. Proceedings of DCASE 2019.
[pdf] Seetharaman, P., Wichern, G., Roux, J. L., & Pardo, B. (2019). Bootstrapping Single-Channel Source Separation via Unsupervised Spatial Clustering on Stereo Mixtures. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[pdf] Seetharaman, P., Wichern, G., Venkataramani, S., & Roux, J. L. (2019). Class-Conditional Embeddings for Music Source Separation. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[pdf] [code] Manilow, E., Seetharaman, P., & Pardo, B. (2018). The Northwestern University Source Separation Library. In Proceedings of the 19th International Society for Music Information Retrieval Conference.
[pdf] Seetharaman, P., Mysore, G. J., Smaragdis, P., & Pardo, B. (2018). Blind Estimation of the Speech Transmission Index for Speech Quality Prediction. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[pdf] [data] [demo] Wilkins, J., Seetharaman, P., Wahl, A., & Pardo, B. (2018). VocalSet: A Singing Voice Dataset. In Proceedings of the 19th International Society for Music Information Retrieval Conference.
[pdf] [demo] Seetharaman, P., Pishdadian, F., & Pardo, B. (2017). Music/Voice Separation Using the 2D Fourier Transform. In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.
[pdf] [demo] Manilow, E., Seetharaman, P., Pishdadian, F., & Pardo, B. (2017). Predicting Algorithm Efficacy for Adaptive Multi-Cue Source Separation. In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.
[pdf] [code] Seetharaman, P., & Rafii, Z. (2017). Cover Song Identification with 2D Fourier Transform Sequences. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[pdf] [code] Seetharaman, P., & Pardo, B. (2016). Simultaneous Separation and Segmentation in Layered Music. In Proceedings of the 17th International Society for Music Information Retrieval Conference (pp. 495–502).
[pdf] Seetharaman, P., & Pardo, B. (2014). Crowdsourcing a Reverberation Descriptor Map. In Proceedings of the 22nd ACM international conference on Multimedia (pp. 587–596). ACM.
[pdf] Seetharaman, P., & Tarzia, S. P. (2012). The Hand Clap as an Impulse Source for Measuring Room Acoustics. In Audio Engineering Society Convention 132. Audio Engineering Society.
Refereed Extended Abstracts
[pdf] [code] Donovan, M., Seetharaman, P., & Pardo, B. (2017). A Web Audio Node for the Fast Creation of Natural Language Interfaces for Audio Production.
[pdf] Seetharaman, P., & Pardo, B. (2014). Reverbalize: A Crowdsourced Reverberation Controller. In Proceedings of the 22nd ACM international conference on Multimedia (pp. 739–740). ACM.
Non-refereed Abstracts
Chao, K., Seetharaman, P., Tang, V., Pardo, B. A., & Van der Lee, S. (2018). Automatic classification of triggered tectonic tremor with deep learning. In AGU Fall Meeting Abstracts.
Tang, V., Seetharaman, P., Chao, K., Pardo, B. A., & van der Lee, S. (2018). Siamese networks for triggered earthquakes detection. In AGU Fall Meeting Abstracts.


Lili Elbe
- Born December 28, 1882 in Vejle, Denmark
- Died September 13, 1931 in Dresden, Germany
Lili was born male and originally named Einar Mogens Wegener. As a teenager, she attended the Royal Danish Academy of Fine Arts in Copenhagen. It was here that she fell in love with her future wife, Gerda Gottlieb. Einar was born male and orginally named Einar Mogens Wegener Studied art at the Royal Danish Academy of Fine Arts in Copenhagen as a teenager. While Einar was a landscape painter, Gerda specialized in portraits and fashion. After modeling numerous times as a woman for Gerda, Lily became to realize that the internal struggles she had throughout her lifetime were rooted in the fact that she indentified as a female, instead of her assigned gender of male. Einar began to explore living as a woman with the assistance of her wife.
After the couple moved to Paris in 1912, Einar transitioned to publicly living as a woman and assumed the name of Lili. In the 1920's, Lili learned that she could possibly transform her body from that of a male to a female through a radical surgery technique that Dr. Magnus Hirschfeld was pioneering at the German Institude of Sexual Science in Berlin. In 1930, she underwent the first of four sexual reassingment surgeries. Becoming one of the first to attempt these procedures. After the fourth procedure, preformed by Dr. Kurt Warnekros at the Dresden Municpal Women's Clinic. Lili was permitted to legally change her name and her gender, allowing her to recieve a passport under the name Lili Elbe. This was an extraordianary accomplishment for the time. Sadly, Lili died just before her 49th birthday due to post-operative complications from her surgeries. Her story has inspired two books. The first which was compiled from her journal entries was Man into Woman, which was orignally published in 1933. The second was a dramatization of her life named The Danish Girl, which was also adapted into a film of the same name.
Want to know more?
Read about Lili Elbe on WikipediaRead about Lili Elbe on Biography.com


The java::isnull command is used to tell if a Java reference has the null value. The javaObj argument specifies an object handle. If the object has the null value, java::isnull will return 1. If the object is a Java object then java::isnull will return 0. If the object is not a valid Java object but rather a standard Tcl string, java::isnull will return an error stating that the argument was not a Java object handle.
Copyright © 1997-1998 Sun Microsystems, Inc.


Hi,
Issue is any sketch I run freezes at rf12_initialize.
I have tried the basic "Tx_SimpleRFM12B_demo" sketches and "Shield_CT1234_Voltage"
any sketch without calls to the rf module works as expected with streaming serial output. "Shield_CT1234_Voltage_SerialOnly" works just fine.
All sketches compile fine, I just get zero output from anything after the rf commands, I can move the print statements around anything before the rf line prints to serial.
I searched previous similar posts and they indicated failed RF module, tonight I have just received 2 new ones, soldered the first in and exactly the same issue???? This time I suspended above and soldered legs. ensured the module did not get hot by letting it all cool down between soldering each leg.
I have modified the rf12.cpp file and set the jumpers as per the link below
http://wiki.openenergymonitor.org/index.php?title=EmonTx_Arduino_Shield
I have a 3rd module but suspect something else is going on but with no output I am at a loss to isolate what it could be??
any assistance appreciated.
Dave
Re: emontx shield V2 with RFM12b on Arduino UNO R3 freeze's at rf12_initialize
Normally, the sketch locking up and not returning from rf12_initialize( ) does indicate a bad connection to the RFM12B or a faulty module. You've swapped modules, but have you carefully inspected the shield pcb, the connections (headers) and the Arduino PCB itself? I'd be looking for solder whiskers, or whiskers left from the etching process, or broken tracks or failed plated-through holes, and in the connectors broken contact springs. Have you checked continuity from the RFM12B right back to the processor? And the supply voltage to the RFM12B? Don't restrict your checks to the parts that you did.
If you comment out all lines related to the RFM12B, does the sketch then run properly? (It most likely will, and that would be additional evidence of no other fault.)
Re: emontx shield V2 with RFM12b on Arduino UNO R3 freeze's at rf12_initialize
Thanks Robert,
still at a loss.
un-comment all RF lines and script runs.
board inspections all looks OK
checked continuity for all connections from RFM12B pads to the header pins on the underside of the arduino (as far as I can go with the shield assembled, all OK.
checked supply Vcc and GND all OK..
Stumped...
Dave
Re: emontx shield V2 with RFM12b on Arduino UNO R3 freeze's at rf12_initialize
I deleted your duplicate post.
You meant "
un-comment all RF lines and script runs." no doubt?Well, you've proved that it really is either the RFM12B module, or the pins on the Arduino that interface with it. Did you check for shorts between adjacent pads?
You have done Option 2 for the CS jumper settings and you've changed the JeeLib library. Have you got only one copy of the library on your entire system? (I'm not clear of the order that the Arduino IDE searches for library files, but it surely does not follow the usual convention. There is only one certain way to keep a copy library file: zip it and delete the original; else the IDE might find it and use in preference to the version you want it to use.) You must have restarted the IDE since editing the file?
And you've done the IRQ jumper too?
Is there anything special or different about the lines that interface with the RFM12B on your particular Arduino board?
You have only the emonTx Shield fitted? No on-board Ethernet?
Without the Shield, can you test the I/O lines (or at least some of them)?
Now I too am running out of ideas.
Re: emontx shield V2 with RFM12b on Arduino UNO R3 freeze's at rf12_initialize
Thanks for the help Robert, problem solved!
I moved over to line Digital 5, updated the sketch and rf12.cpp and all started working.
Data streaming to the Raspberry Pi gateway and published to emoncms web site!!!
I don't know what was wrong with the original line but happy its working!
Cheers
Dave
Re: emontx shield V2 with RFM12b on Arduino UNO R3 freeze's at rf12_initialize
Phew! I was getting desperate.