STEPMOM by DeWyNGaLe * * * *
As I saw in the trailers that Julia Roberts, Susan Sarandon, and Ed Harris were starring in this drama I thought...how could it not be good? Well, my question stayed true, considering Stepmom is the best movie of the year. It is shown as more of a comedy, but it is mostly a tear jerking drama. Everyone was in tears in the theater I was in. When I sat back in my seat and waited for the movie to start, little did I know I was about to see the most amazing film since Titanic.
Susan Sarandon plays Jackie, mother of Ben and Anna. She was married to Luke (Ed Harris), but they were divorced three years back when Luke walked out. Luke is now seeing Isabel, a young, funny, nice young girl played by Julia Roberts. Jackie and the kids despise Isabel though. Mostly because she is tearing the family apart by seeing Luke. Isabel is extremely nice to the kids, but they don't care. For instance when Isabel buys them a puppy Anna says "Well I'm allergic to dogs and I'm allergic to you, too."
Jackie and Luke have something tremendous to tell one another. One is more serious then the other, but Luke goes first. He lets Jackie know that he and Isabel are getting married. At this point, Jackie doesn't say what she wanted to say and simply states it wasn't important. But, this thing is extremely important. Something that is tremendous. (I won't tell you what it is though.) Jackie continues to lie about her secret to the family. At this point, Jackie is sick of all the fuss and wants the family to be happy. She gives the kids tips to getting along with Isabel, and they work, a little too well. Now the kids think of Isabel as their mother, and Jackie thinks she is out of the picture. She becomes very jealous at this point.
Stepmom depicts the average 90s family, with tenseness, sadness, happiness, and angryness. This movie is a story about life and the roads that it can take you on. It lets you know that you should enjoy what you have because you never know when it will all come to an end. Susan Sarandon gives the best performance of the year and she definitely deserves and Oscar Nomination. Roberts and Harris also give outstanding performances. I don't know about you, but Stepmom was so special to me, I can't explain it. Hands down to one of the greatest movies of the year.
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--- layout: post title: jónsi l covers mgmt date: 2010-03-22 22:37:31.000000000 +09:00 type: post parent_id: '0' published: true password: '' status: publish categories: [] tags: - q. meta: _original_post_id: '40025965' _original_import_author: sheepless_ original_post_id: '40025965' _wp_old_slug: '40025965' _oembed_89ad3ca402cffe65f4c028a773e14398: "{{unknown}}" author: login: mouthless email<EMAIL_ADDRESS>display_name: mouthless first_name: '' last_name: '' excerpt: earlier today, jónsi was interviewed and performed a session for the live lounge portion of the jo whiley show on bbc radio 1. as part of the live lounge session, the performer sings one of their own songs and one cover – jónsi sang ‘go do’ and fo... ---
earlier today, jónsi was interviewed and performed a session for the live lounge portion of the jo whiley show on bbc radio 1. as part of the live lounge session, the performer sings one of their own songs and one cover – jónsi sang ‘go do’ and for the cover he sang ‘time to pretend’ by mgmt.
here you can listen to the cover of ‘time to pretend’:
and here’s the full interview and live session:on the bbc website, you can see photos from today’s live session."
- jónsi <http://jonsi.com/news/jonsi-covers-mgmt>


Digitalnz.org
As I stand out here in the wonders of the unknown at Hadley, I sort of realize there’s a fundamental truth to our nature, Man must explore and this is exploration at its greatest.
The path of a cosmonaut is not an easy, triumphant march to glory. You have to get to know the meaning not just of joy but also of grief, before being allowed in the spacecraft cabin.
Digitalnz.org
As I stand out here in the wonders of the unknown at Hadley, I sort of realize there’s a fundamental truth to our nature, Man must explore and this is exploration at its greatest.
The path of a cosmonaut is not an easy, triumphant march to glory. You have to get to know the meaning not just of joy but also of grief, before being allowed in the spacecraft cabin.
Digitalnz.org
As I stand out here in the wonders of the unknown at Hadley, I sort of realize there’s a fundamental truth to our nature, Man must explore and this is exploration at its greatest.
The path of a cosmonaut is not an easy, triumphant march to glory. You have to get to know the meaning not just of joy but also of grief, before being allowed in the spacecraft cabin.
Background image will be used as a decorative element behind exhibition, it will be stretched accordingly.


This is your profile page. You can see the progress you've made with your work and manage your projects or assigned tasks
Edit profileRyan — the name taken by Melbourne-raised, Brooklyn-based Nick Murphy — writes, performs and records all of his own music.
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This document describes usage of the Nuage Virtualized Services Directory (VSD) northbound ReST API. Topics covered include:
The Nuage VSD ReST API request uses HTTP headers for various purposes like authentication, filtering, ordering, pagination etc. HTTP headers are used instead of query parameters for several reasons, mostly because it keeps the resource URI clean, short and easy to read. Use of HTTP headers also allows the server to reply with useful metadata, like the current page number and the total number of objects, without affecting the JSON or XML objects that is sent to clients.
The server response will be formatted in JSON. Content-Type is a required header field for HTTP POST and PUT as mentioned below to either create or modify an entity:
Each API call must be authenticated, so the Authorization header must be sent with each request:
$AUTHORIZATION_STRING is defined below.
For all API calls, this Nuage custom HTTP header is used to indicate the associated enterprise (CSP — the data center administrative enterprise — is also a standard enterprise) for the request:
For a GET request, this header allows the client to ask for a given page number as all object lists are paginated:
For a GET request, this allows the client to ask for a filtered list of objects:
The filter can be either plain text, or a predicate. How predicates work later is explained later.
This optional header instructs the server on how to order the results:
Ordering follows the basic SQL Order By statement. For example, the X-Nuage-OrderBy: name DESC, login ASC header will result in entities ordered first by descending name, then by ascending login.
X-Nuage-Count indicates the total count of objects requested.
X-Nuage-Page indicates the actual page number just received.
X-Nuage-PageSize indicates the internal page size. The page size can be configured on the server. By default, it is 50 objects.
X-Nuage-Filter is an echo of the filter in the request, if any
X-Nuage-FilterType indicates how the server has interpreted your filter. Return values are plain or predicate.
X-Nuage-OrderBy indicates how the objects in the reply are ordered.
There is no "authentication" in the sense of a strong server-side session, the VSD uses an API key that serves as an authenticated password for all subsequent calls.
This section describes how to get and use an API key.To obtain and API key, the first step is to make a /me API call. This API call returns information about the account being used.
The authorization string for the /me API MUST be formatted like the following:
Note that with Basic authentication, the password is not encrypted before transfer. This is part of the HTTP standard for Basic authentication, and is also required in order to support an LDAP internal authentication mechanism. However, all communication is over a secure channel (SSL/TLS).
NOTE: Many web browsers display Basic authentication requests and error responses in dialog boxes. Depending on the API client being developed, this may not be desirable. Instead of using the Basic authentication method, the XREST authentication method can be specified to prevent the browser from displaying a login dialog box or error dialog. The semantics are identical, but the keyword "Basic" is replaced with "XREST" in the AUTHORIZATION_STRING
The server will answer the request with:
The APIKey value should be used for all subsequent API calls. The APIKey is valid until APIKeyExpiry. APIKeyExpiry is specified as a POSIX time (seconds since the epoch: 00:00:00 Coordinated Universal Time (UTC), Thursday, 1 January 1970), and is provided as a convenience, to allow the client application to renew its API key before expiry rather than waiting for a request to fail due to API key timeout.
Once an API key has been obtained, the key acts like a password for all subsequent requests. For example, to get all enterprises:
where the authorization string must be formatted like the following:
The main philosophy of the API is to allow users to develop a simple and consistent model and feed it with the server replies without having to deal with complexities like sending only modified values, etc. For example, when requesting an enterprise, a JSON object is returned. To change an object.name, you can send only the modified attribute and its value or the entire object including the modified value to the server.
Note that the server can deal with null values. For example, when creating an enterprise, the request can have only the name and description properties with all other object attributes like ID, creationDate, owner, etc., set to null. Alternatively, the request may only send the name and description depending on preference. The main advantage is that the object model can easily be mirrored in the client.
Note that in the following examples, not all required the HTTP headers are displayed to improve readability, but those headers are still required in a properly formed request.
To get list of objects, one uses the GET request. For example, to get all enterprises:
To get all groups in the company named Nuage Networks (ID: 25149097-1e23-47f3-ae5e-589b4c27a158):
Querying deeper in the example above, a request to get all users in the group Administrators by issuing a request for /enterprises/$ID/groups/$ID will fail because the API only supports three levels of depth, for example,
To query deeper into the hierarchy, one can request:
So to get all users in Nuage Networks' group named Administrators (ID: a296bef5-ff10-46ab-acbb-650281edbcf4), the request would be:
Note that not all objects can be queried directly. For example, one cannot ask for /users or /groups.
To create an object, use a POST request.
For example, to create a new enterprise:
To create a child object, like a group inside an enterprise:
To update an object, use a PUT request.
The example below updates the enterprise description:
To delete an object use a DELETE request.
The example below will delete the enterprise $ENTERPRISE_ID:
Each request you or other users send to the server are actually pushed back to all other users (filtered by permissions) via HTTP Server Push using Long Polling. Use of the push channel is optional.
To start listening to the Push channel, send an /events call:
This is a long polling request, with a timeout set to a certain amount of time (about 1 min). If something happens during this period, the server will send you back a push. A push can contains several events. Pushes are always grouped by events type (CREATE, DELETE, UPDATE, GRANT, REVOKE) and by entity type (enterprise, group, etc).
The output above indicates Bob has created a new enterprise named The Company.
If nothing happened during the timeout period, the following is returned:
Whether something happened or not, one can ask for the next event by simply resending the /event request, with the last push uuid as query parameter as follows:
This UUID ensures that events are not lost if something else happened during the time between the response and the next request.
VSD provides a very simple, yet very advanced way to filter entities. Filter can be defined using plain text or using a predicate. The server is able to determine by itself the type of filter requested: a plain text filter or a predicate.
Plain text filtering is simple and only requires setting the X-Nuage-Filter: the filter. The server will return only entities that have any of their properties containing the text the filter.
Predicate is a more advance way to use filters. The syntax is based on the Cocoa Predicate, and allows to build complex queries.
For example, one can send complex filters like:
See Filtering, Sorting and Paging for more information on what is supported on VSD
More information about predicate syntax is available from (Apple Cocoa documentation)[https://developer.apple.com/library/mac/#documentation/Cocoa/Conceptual/Predicates/predicates.html#//apple_ref/doc/uid/TP40001789]
The server replies using standard HTTP response codes.
2XX codes indicate that the request was processed:
3XX codes indicate the server needs more information from the client and will be offer different choices:
For example, sending a request to delete a parent object with children under it:
The server will reply:
The server is presenting two choices:
To validate, resend the same request, with an HTTP query parameter set to the selected choice:


Google Stadia app has been downloaded over 175k times
Over 90% of downloads were on Android, over 41% were in the US
by Rebekah ValentineThough we don't have sales numbers on Google Stadia's launch, an extremely rough approximation can be gleaned from the number of downloads of the mobile app, which stand at over 175,000 according to Sensor Tower.
The app appears to be effectively necessary to use Google Stadia, as it is the only way to purchase games and allows users to cast games to their browsers or TVs via Chromecast. While those who have not purchased Google Stadia can still download the free app from the App Store or Google Play, without an access code received from purchasing Stadia, the app is useless.
Sensor Tower has shared that 90.7% of all downloads of the Stadia app were on Android, while the rest were on iOS. The platform split may be at least in part due to the fact that Stadia can only be played on mobile via Pixel phones, making it a more appealing prospect to those already going through the Play Store in the first place.
Additionally, the US accounted for over 41% of all downloads of the Stadia app.


Website Design
Web Application Development
Content Management System
Website Maintenance
Website Rebuild
Web Banner Design
Corporate Visual Identity Design


← Home / Complete-Works / Volume 2 / →
***
The Necessity of Religion
The Real Nature of Man
Maya and Illusion
Maya and the Evolution of the Conception of God
Maya and Freedom
The Absolute and Manifestation
God in Everything
Realisation
Unity in Diversity
The Freedom of the Soul
The Cosmos: The Macrocosm
The Cosmos: The Microcosm
Immortality
The Atman
The Atman: Its Bondage and Freedom
The Real and the Apparent Man


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Run Snap! Server
Run JSONP Server (causes security hazard!)
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To operate real consumer electronics,there must be Android running Kadecot as "websocket server" in the same network.
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profile here.
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ex.Aircon_in_a_living_room,Light_in_a_bedroom.
Power consumption sensor:
None
Remove this device
EPC
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big
small
Yes
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|
Subor SDK API
0.9.3
|
The details of the file to upload. More...
#include <RuyiNetListUserFilesResponse.h>
Public Attributes | |
| long | updatedAt |
| When the file was last updated. More... | |
| long | uploadedAt |
| When the file was uploaded. More... | |
| int | fileSize |
| The size of the file. More... | |
| bool | shareable |
| Whether or not the file is shareable. More... | |
| long | createdAt |
| When the file was created. More... | |
| std::string | profileId |
| The profile ID of the owning player. More... | |
| std::string | gameId |
| The ID of the game the file relates to. More... | |
| std::string | cloudPath |
| The path to the file. More... | |
| std::string | cloudFilename |
| The filename. More... | |
| std::string | downloadUrl |
| The URL to download the file. More... | |
| std::string | cloudLocation |
| The location of the file on the cloud. More... | |
The details of the file to upload.
| std::string Ruyi::SDK::Online::RuyiNetListUserFilesResponse::Data::FileDetails::cloudFilename |
The filename.
| std::string Ruyi::SDK::Online::RuyiNetListUserFilesResponse::Data::FileDetails::cloudLocation |
The location of the file on the cloud.
| std::string Ruyi::SDK::Online::RuyiNetListUserFilesResponse::Data::FileDetails::cloudPath |
The path to the file.
| long Ruyi::SDK::Online::RuyiNetListUserFilesResponse::Data::FileDetails::createdAt |
When the file was created.
| std::string Ruyi::SDK::Online::RuyiNetListUserFilesResponse::Data::FileDetails::downloadUrl |
The URL to download the file.
| int Ruyi::SDK::Online::RuyiNetListUserFilesResponse::Data::FileDetails::fileSize |
The size of the file.
| std::string Ruyi::SDK::Online::RuyiNetListUserFilesResponse::Data::FileDetails::gameId |
The ID of the game the file relates to.
| std::string Ruyi::SDK::Online::RuyiNetListUserFilesResponse::Data::FileDetails::profileId |
The profile ID of the owning player.
| bool Ruyi::SDK::Online::RuyiNetListUserFilesResponse::Data::FileDetails::shareable |
Whether or not the file is shareable.
| long Ruyi::SDK::Online::RuyiNetListUserFilesResponse::Data::FileDetails::updatedAt |
When the file was last updated.
| long Ruyi::SDK::Online::RuyiNetListUserFilesResponse::Data::FileDetails::uploadedAt |
When the file was uploaded.


--- author: Andre Charland categories: app date: '2010-11-25 16:40:37' link: http://blogs.nitobi.com/andre/index.php/2010/11/25/a-vc-html5-mobile-apps-fred-wilson-gets-it/ permalink: /2010/11/25/a-vc-html5-mobile-apps-%e2%80%93-fred-wilson-gets-it-3/ slug: a-vc-html5-mobile-apps-%e2%80%93-fred-wilson-gets-it-3 status: publish title: 'A VC: HTML5 Mobile Apps – Fred Wilson Gets It!' type: post format: html ---
Fred Wilson a very well respected investor just came to a realization about HTML5 apps that is going to send fan boys screaming!
I saw two HTML5 apps yesterday. One running in my Android browser. The other running in the iPad browser. They looked and worked exactly like their mobile app counterparts. It was a mind opening moment.
via A VC: HTML5 Mobile Apps. So how much money is Fred going to be putting in companies building multiple native apps per platform? This is going to be more an more the case as HTML/JS technologies evolve and devices get faster. Fred's not even talking about PhoneGap apps which could give you even more features that makes you HTML5 equal to a native app, yet cross platform. Although a large number of technologists have understand this for a long time it's nice to see non tech focused folks starting to realize that HTML5 can be on par with native apps…so don't through your money away!
For insights from Fred I'd have a look at the recent interview from Fred at O'reilly's Web 2.0 Summit. Fred calls it like he sees it and doesn't get wrapped up in hype that other folks in the echo chamber might.
FYI. Fred's an investor in Twitter, Foursquare, Tumblr and others you may have heard of via Union Square Ventures.


Local User
Remote Users
Settings
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Content
Access editor content. Output is printed to the console.
Selection
Access editor selection. Output is printed to the console.
Event Registration
Toggle various event callbacks. Callback parameters are printed to the console.


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Malta coach knocks himself out in dug-out and blacks out Spain thrashing
Malta coach Ray Farrugia has admitted he can’t remember the closing stages of his side’s thrashing to Spain after appearing to knock himself out in the dug-out.
Spain battered Malta 7-0 in their Euro 2020 qualifier in Cadiz in what was a painful watch for the Maltese coaching staff and fans.
But Farrugia caused himself some physical pain when he stood up in the dug-out and cracked his head.
The 64-year-old needed medical attention with TV cameras catching blood coming from his head as the medical staff patched Farrugia up.
‘Of the last 20 minutes, I don’t remember hardly anything,’ Farrugia said in the post-match press conference, sporting a bandage on his head.
‘We played against the best team in the world, I have no doubt about that. On top of that we conceded four goals from corner kicks.
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‘Spain are better than us, undoubtedly, and I think that with those players they can win the European Championship. And I watch a lot of football.’
The result confirms Spain as Group F winners with seven different scorers in their game against Malta.
Santi Cazorla scored his first goal for Spain in four years, while Alvaro Morata, Pau Torres, Pablo Sarabia, Dani Olmo, Gerard Moreno and Jesus Navas were also on the scoresheet.
The goal marks another huge moment for Cazorla who spent two years on the sidelines after multiple operations on his ankle.
Cazorla’s last strike for Spain came in a 2-0 friendly win over England in November 2015.


The type of trigger event that this transition will respond to.
The target vertex of the transition.
Adds user-defined behaviour to the transition that will be called after the source vertex has been exited and before the target vertex is entered.
The action, or actions to call with the trigger event as a parameter.
Returns the transitions thereby allowing a fluent style transition construction.
Adds an event type constraint to the transition; it will only be traversed if a trigger event of this type is evaluated.
The type of trigger event that will cause this transition to be traversed.
Returns the transitions thereby allowing a fluent style transition construction.
Specifies a target vertex of the transition and the semantics of the transition.
The target vertex of the transition.
The kind of transition, defining the precise semantics of how the transition will impact the active state configuration.
Returns the transitions thereby allowing a fluent style transition construction.
Adds an guard condition to the transition; it will only be traversed if the guard condition evaluates true for a given trigger event.
A boolean predicate callback that takes the trigger event as a parameter.
Returns the transitions thereby allowing a fluent style transition construction.
Generated using TypeDoc
A transition changes the active state configuration of a state machine by specifying the valid transitions between states and the trigger events that cause them to be traversed.


Scope: client and server, all versions.
This will persist items in system memory. This is extremely useful in cases where long-term storage is not required or for a quick testing environment.
There are no attributes to configure. A very minimalist example of a server configuration would be
<config> <service name="default-cfg"> <myproxy host="myproxy.teragrid.org" port="7514"/> </service> </config>
Would point to a service on localhost and use the given MyProxy service. All information would be stored in memory, and there is no mail notifications enabled, so this is not useful for production, but would allow for a very quick setup and test.
<config> <client name="my-cfg"> <memoryStore> <assetStore/> </memoryStore> <!-- other stuff --> </client> </config>
This is enabled, which means that if a component does not have explicit storage of some sort declared, a memory store will be used. If you wish to disable this feature, you may do so by setting the following flag in your configuration:
For servers:<config> <service name="my-config" disableDefaultStores="true" >
<config> <client name="my-config" disableDefaultStores="true" >
It is generally advisable to disable this feature in production environments since if there is a missing storage configuration an error will be generated. If you wish to use a memory store, simply configure one explicity.


A friend of mine I had not seen in a while approached me in the mall whilst I was eating my lunch. Long ago, he had spoken to me about a mysterious drug called DMT. His descriptions were vague, but he was persistent in urging me to find it, as I, at the time, was the person you came to when you needed something other than coke, speed, or pills.
I had never heard of it, but as years passed, I read several books on the subject, & one glorious trip to a festival in North Carolina, I met a gentleman that announced to me that he had DMT! I did not get to try it at the show, but before I left, he gave me several dose to take home. I & my friends tried it & loved it, but one hit remained, which brings us back to the gentleman that interrupted my lunch. 'How are you doing,' I asked, 'It's been a while. And ah, oh yeah, you remember that DynaMiTe drug we talked about years back? Well, I have some.'
He met me at my house soon after & I gave him the last hit. He was gracious. He offered me some yopo seeds in return. I gladly accepted, & he showed me how to prepare them. He warned me that when he smoked them alone, it did not do much, but when mixed with rue powder, it was very powerful. I took his advice & mixed half powdered rue & half powdered yopo & put them on top of some cannabis. It had a very Christmas-like flavor. After 3 hits, I felt my hands & chest tingle like with Mother Salvia. I noticed the walls were rippling in front of me, as if they were liquid. I smoked more. After 5 hits, I felt energy rushing all through my body. It made me sick to my stomache & I had to lay down.
When I closed my eyes, I saw steps leading into the ceiling. They opened up into doors, & I was pushed through. EVERYTHING was in there. It's hard to explain. It is not clear to me now. Checker boards warped & bent like an Escher drawing. There were large african-american women there that were teasing me. I prayed out to be healed of my ailments. Things became very holy. I saw the real world as a 3-D interactive curtain. I was now behind it. Reality had become a pop-up book I could open & close with my eyes.
As I came down, my bed felt like heaven, & when the visions were over, it was like they all just walked through a door & closed it behind them. All of the visions seemed to be predominantly red & morphed from image to image at such a speed that I was difficult to retain even a fraction of the experience. I was left feeling loving & saint-like. Still, I feel holy.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Umbreen Raza Ahmad
123 Picasso Street, Paris Texas
Short Bio
My name is Amber. I have been painting for a long time. I still remember when I signed up for my first painting class in community college. I was shocked how expensive it was to buy supplies. I was certain this class would not lead to much, but I was excited about playing with colors. Who doesn't like to get their hands dirty with paint, we've all finger painted as some point, its liberating. I took the class and eureka! Art is AWESOME! Twenty years later, still painting. It's therapy. It's happy. It's expression without words!
Why Am I here?
I am here to use my creativity and chanel it to the digital world and connect and create connections through websites and mobile apps.
Likes
- Abstract Painting
- Travel
- Experience other cultures
- Code
- Netflix
Dislikes
Here's a peak into my world!
This one is called "PINK!"


C++ is a statically typed, compiled, general-purpose, case-sensitive, free-form programming language that supports procedural, object-oriented, and generic programming.
C++ is regarded as a middle-level language, as it comprises a combination of both high-level and low-level language features.
C++ was developed by Bjarne Stroustrup starting in 1979 at Bell Labs in Murray Hill, New Jersey, as an enhancement to the C language and originally named C with Classes but later it was renamed C++ in 1983.
C++ is a superset of C, and that virtually any legal C program is a legal C++ program.
Note: A programming language is said to use static typing when type checking is performed during compile-time as opposed to run-time.
C++ fully supports object-oriented programming, including the four pillars of object-oriented development:
Encapsulation
Data hiding
Inheritance
Polymorphism
Standard C++ consists of three important parts:
The core language giving all the building blocks including variables, data types and literals, etc.
The C++ Standard Library giving a rich set of functions manipulating files, strings, etc.
The Standard Template Library (STL) giving a rich set of methods manipulating data structures, etc.
The ANSI standard is an attempt to ensure that C++ is portable -- that code you write for Microsoft's compiler will compile without errors, using a compiler on a Mac, UNIX, a Windows box, or an Alpha.
The ANSI standard has been stable for a while, and all the major C++ compiler manufacturers support the ANSI standard.
The most important thing to do when learning C++ is to focus on concepts and not get lost in language technical details.
The purpose of learning a programming language is to become a better programmer; that is, to become more effective at designing and implementing new systems and at maintaining old ones.
C++ supports a variety of programming styles. You can write in the style of Fortran, C, Smalltalk, etc., in any language. Each style can achieve its aims effectively while maintaining runtime and space efficiency.
C++ is used by hundreds of thousands of programmers in essentially every application domain.
C++ is being highly used to write device drivers and other softwares that rely on direct manipulation of hardware under realtime constraints.
C++ is widely used for teaching and research because it is clean enough for successful teaching of basic concepts.
Anyone who has used either an Apple Macintosh or a PC running Windows has indirectly used C++ because the primary user interfaces of these systems are written in C++.


Using jQuery, developed an interactive resume application that reads all data from a JSON file and then dynamically modifies the DOM to display the information. Further customized the project by personalizing the design using CSS.
Movie Website
Created a simple movie website with images and trailers, this project demonstrates knowledge of Object Oriented Programming.
Code Your Own Quiz
Built a fill-in-the blanks type quiz to leverage the power of functions in Python and mastered the ability to automate repetitive tasks that can be done on a computer.


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Jericho is crash
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Jericho is a very
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Accommodating
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In POSIX sh, indirect expansion is undefined.
(or "In dash, ... is not supported." when using dash
)
#!/bin/sh
name="PATH"
echo "${!name}"
The easiest solution is to switch to a shell that does support indirect expansion, like bash
:
#!/bin/bash
name="PATH"
echo "${!name}"
Alternatively, carefully rewrite using eval
:
#!/bin/sh
name=PATH
eval "echo \"\$$name\""
Indirection expansion is an extension in bash
and ksh
, and not supported in dash
or POSIX sh
. Either switch to a shell that supports them, or write around it with careful use of eval
. Take care to validate the variable name to avoid fragility and code injection.
If you only intend to target shells that supports this feature, you can change the shebang to a shell that guarantees support, or [[ignore]] this warning.
You can use # shellcheck disable=SC3000-SC4000
to ignore all such compatibility
warnings.


I am a data science enthusiast, trying to utilize my knowledge and skills to help organizations solve critical business problems. I have experience in managing a number of analytical and research projects in various industries based in the US, EU and Asia. I believe in lifelong learning. I am highly passionate about doing research in the fields of predictive and prescriptive analytics. I completed my bachelor's degree in Statistics and Operations Research and I am about to graduate from my master degree in Data Science. My research focus lies in the field of reinforcement learning where I try to design human-feedback driven algorithmic frameworks to solve sequential decision-making problems. My academic and professional experiences have equipped me with strong analytical, technical and interpersonal skills which I leverage to develop creative solutions for real-world problems.
- Responsible for maintaining and improving the performance of core ML models of Sellics’s AI-powered advertising automation tool (AutoPilot).
- Research new data science products and develop ML prototypes to add more value to the current software solution that Sellics offer to its clientele.
- Optimized Autopilot's model training/testing procedure to reduce the total processing time by half.
- Led the initiative to set up an automated Git-based CI/CD pipeline for Autopilot by collaborating with the DevOps team.
- Designed a tool to predict marginal changes in key business KPIs at arbitrary price/discount-rate changes.
- Created an A/B test data analysis framework for the stakeholders to draw quick inferences from.
- Developed an in-house outlier detection methodology to use for article-based A/B testing processes.
- Designed machine learning models to generate guidance forecasts for multiple business metrics.
- Created ETL pipelines and automated multiple repetitive analytical processes.
- Supported the pricing and forecasting team by generating routinely and ad-hoc data analysis reports.
- Developed a simple regression model to predict customer churn.
- Completed a few data analysis tasks to support the senior management better understand the Sri Lankan post-paid customer base.
- Developed survey research studies through questionnaire design and optimal sample selection.
- Automated many data wrangling process on survey data using R, Python, SPSS and VBA programing.
- Conducted advanced data analyses (conjoint, max-diff) to find answers for the key pain-points of clients.
- Created predictive models for stakeholders using R and Python, mainly for growth forecasts, customer segmentation/profiling and market sizing tasks.
- Designed a central knowledge-based to store data analysis and visualization best practices & techniques.
- Train junior analysts and conducted (guest) lectures at the University of Colombo, Sri Lanka.
- Before being promoted as a Senior Statistical Analyst, I held the post of a Statistical Analyst in the Consumer Insights team where I was involved in performing in-depth research and deep-dive analyses to find answers for many different questions our clients had. Few such tasks include measuring customer experience and/or satisfaction, estimating product demand forecasts, price sensitivity analysis, sales-leads prediction.
- Before being promoted as a Statistical Analyst, I worked in the Consumer Insights team as a Junior Statistical Analyst where I assisted senior analysts and consultants with primary research-based work. Main duties included programming web surveys (Sawtooth, Qualtrics, SurveyMonkey), Data munging and analysis using R, SPSS and Excel software.
- Developed an optimal run strategy plan for a manufacturing line at Unilever(SL) soap production plant.
- Drafted an optimal geo–location layout for a proposed distribution facility by minimizing intra-facility transportation times and costs.
- Tested the feasibility to implement a daily stock tracking framework for multiple manufacturing processes.
- Coordinated the Terra–MIO integration in Unilever(SL) to reduce stock norms by working together with the Hindustani Unilever officials.
Ongoing
GPA: 3.86 / 4.00
Standard reinforcement learning methods need numerical rewards, but such rewards are not available for many real-systems. Preference-based reinforcement learning methods provide a solution for it, because they are capable of using qualitative preference feedback instead of numerical rewards to solve sequential decision making problems.
In my thesis, I develop a new algorithm which is based on the Preference-based Approximate Policy Iteration (PbPI) algorithm proposed by Fürnkranz et al. (2012). This new method utilizes a neural network as the core preference model and it is more sample efficient than the PbPI method. Therefore, the new method can be applied on real-systems that do not contain numerical reward functions, and whose samples are expensive to generate.
I demonstrate its higher sample efficiency on two simulation problems and perform a comprehensive analysis on the algorithm's performance to provide detailed information about the properties of the new algorithm.
• Link to algorithm implementation + related experiments : Modified-PbPI algorithm and Experiments
In this research project, I propose a framework that can be used to integrate the reward shaping process into any dynamical system on which RL methods are used to find optimal policies. In the proposed setup, the RL agent’s learning phase is made sample efficient by creating shaping rewards that are generated according to human-provided natural language instructions. This setup enables human instructors to observe the learning process of an RL agent and give natural language instructions to guide the agent to complete the assigned tasks quickly. Please refer to the paper that I have written about this project for further information.
• Link to project : Sample-efficient RL Setup with NLP - Project folder
• Link to paper : Sample-efficient RL Setup with NLP - Summary Paper
As an aspiring Deep RL researcher, I believe reproducing papers and writing my own implementations of them is a great way to develop an understanding of how they work.
In this project, I have implemented the famous DQN paper by Mnih, Volodymyr et al., (2013) to better understand how deep neural networks can be combined with traditional RL methods in order to learn optimal control policies, directly from high-dimensional sensory input.
• Link to notebook : Playing Atari with Deep Reinforcement Learning
I employed OR techniques to find the optimal allocation of parking slots for vehicles while satisfying a pre-identified set of requirements (constraints) provided by the park-owner as well as its users.
• Link to report : Optimizing Parking Space using OR Techniques
This research project was conducted to maximize the profits of the Food Court at Arpico Super Centre, Mulgampola, Kandy (Sri Lanka). Main aim was to maximize the sales and to decide the optimal number of food items that had to be produced to meet the daily demand, while minimizing the wastage.
I am passionate about the field of reinforcement learning (RL) and I believe RL will play a major role in AI/ML research in the new decade. I treat sample-complexity as the main barrier that limits the usability of most RL methods. Therefore, my main research focus is to make RL methods more sample efficient. This is an ongoing process (hence, listed last), and I sincerely hope that I would be able to make significant contribution(s) to this area of research in future.
• Related work : Git Repository
A face mask detection classifier and an object detection model trained on PyTorch. I did this exercise to better understand the power of transfer-learning, how convolutional kernels work, and also to get familiar with object-detection methodologies.
• Link to classifier notebook : Face Mask Classifier
• Link to object detection notebook : Face Mask Object Detection
Developed an anomamaly detection framework that can identify defective laser products using laser intensity measurement data.
• Link to notebook : Medical Lasers Anomaly Detection
Implemented different ML algorithms to predict the future price of DAIMLER AG stock. Through this project, I tried to explore a few popular time-series forecasting and ML algorithms. Results showed that traditional methodologies seem to outperform ML models in the forecasting domain.
• Link to notebook : Predicting Daimler AG Stock Price with Machine Learning
I investigated whether it is possible to predict the probability for a child getting Kyphosis if he/she had gone through corrective spinal surgery in the past. I used GLM models to tackle this problem.
• Link to R-markdown : Will your child get Kyphosis?
In this project, I demonstrated how Principal Component Analysis (PCA) can be used to make predictions about customer purchasing preferences.
• Link to R-markdown : Using PCA to make Predictions
This simple project illustrates how we can develop different logistic regression models by considering subsets of predictor variables, and then how we should compare them against each other to decide the best.
• Link to R-markdown : Logistic Regression Model Comparison
In this presentation, I discuss how modern ML techniques are used to automatize the DBMS configuration/tuning process. I explain this using the "OtterTune": a system developed by a group of researchers at Carnegie Mellon Database Group.
• Link to presentation : Automated Configuring of DBMS through ML
This is a simple analysis that I did become familiar with a few traditional time-series forecasting techniques and Facebook Prophet. I have tried to forecast the Google stock price in this work.
• Link to notebook : Time-Series forecasting with Traditional Methods + FB's Prophet
This is a passion project of mine. I am trying to predict the price movement of multiple currency pairs using computer-vision and mathematical programming (optimization) techniques. My hypothesis is, if a normal human (trader) can analyse price (candle-stick) charts and make buy-sell-hold decisions, an AI should also be able to make similar decisions, given that it gets exposed to sufficient amount of training information. There is a lot left to plan/complete, but I am excited about this project!
• Link to project : FX Forecaster


Containing only the variables themselves; not squares or cubes, or square roots, etc.
A linear function or relationship can be represented by a straight-line graph.


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The YMCA of Greater TorontoAdded on 31-Mar-2017 at 9:10 PM
Description It is a used but in great condition


My Team
Name: Cory
Manager
ID: 11
Email:
<EMAIL_ADDRESS>Office Number: 12
Name: Chad
Engineer
ID: 13
Email:
<EMAIL_ADDRESS>Git Hub:
moecory11
Name: Conner
Intern
ID: 14
Email:
<EMAIL_ADDRESS>School: UW
Name: Barb
Engineer
ID: 15
Email:
<EMAIL_ADDRESS>Git Hub:
moecory11
Name: Tony
Intern
ID: 16
Email:
<EMAIL_ADDRESS>School: WSU


{% include 'header.html' with {'page': 'status', 'title': 'system status', 'description': 'Dokify service status'} %}
system status
Looks like something is wrong!
We are investigating the issue
{% else %}
All systems working propertly
{% endif %}
Running {{ inservice | length }} machine(s) - {{ loadAvg }}% load average
Last action: {{ action.text }} at {{ action.time | date ("Y/m/d h:i") }}


STAR TREK: INSURRECTION
** 1/2 (out of 4) - an enjoyable movie
Release Date: December 11, 1998 Starring: Patrick Stewart, Jonathan Frakes, Brent Spiner, LeVar Burton, Michael Dorn, Gates McFadden, Marina Sirtis, F. Murray Abraham, Anthony Zerbe Directed by: Jonathan Frakes Distributed by: Paramount Pictures MPAA Rating: PG (sci-fi action violence, mild language, sensuality) URL: http://www.execpc.com/~kinnopio/reviews/1998/st-insur.htm
STAR TREK is inarguably the most successful entertainment franchise of all time. The latest motion picture in the formidable line follows in a tradition that is now thirty-three years old, and it is the ninth feature in a string of sequels that extends back to 1979. It might be thought that STAR TREK: INSURRECTION has a lot to live up to.
That's not the case. Although there are certain conventions and customs to pay homage to, it has long been a hallmark of the STAR TREK series that each movie is nine-tenths self-contained. Certain features have been major turning points for the series -- for example, in STAR TREK: GENERATIONS, audiences saw the destruction of the Enterprise-D -- but INSURRECTION is more modest in its intentions. This is, simply put, bread-and-butter STAR TREK -- a double-length television episode with beefed-up special effects and a bit more polished script -- all for the enjoyment of the fans.
INSURRECTION begins in the Sierra-Nevadas -- er -- a peaceful planet inhabited by an idyllic race of metahumans. These people live a life delightfully free of technology and have a youthful vigor about them; but like all good things, it's not destined to last. As it turns out, their planet holds certain "magical" properties which have attracted the interest of the highest levels of Starfleet and its alien allies. When Captain Picard (Patrick Stewart) and the crew of the Enterprise-E learns of this, however, it's obvious that the Starfleet's intentions are a clear violation of the Prime Directive (the Directive is Starfleet's rule prohibiting interference with the natural course of a civilization's progression). Hence, Picard and his top officers resign from their commands and lead a mission of insurrection on behalf of the planet's people.
Even for non-fans, the movie is still some very impressive cinema. On the technical side, INSURRECTION is the most awesome TREK feature to date, giving the audience a good load of special effects. Of course, TREK special effects have never been on-the-cheap, but the significantly larger budget for a motion picture allows the computer folks to get a bit more creative. On the aesthetic side, however, a lot of that grandeur is lost. The script is not pervasive or moving -- Picard only gets one great speech -- and instead fills its time with sniveling bad guys or straight-faced humor for the Enterprise crew (most of which is genuine).
The acting corps is back in fine form, although these actors have been playing the same characters for over ten years now. Stewart is considered by many to be the most accomplished actor to have ever donned a Starfleet uniform, and he makes a fair impression here. Jonathan Frakes (directing himself again in his second TREK feature), as Commander Riker, and Brent Spiner, as Lt. Cmdr. Data, are wonderful as Picard's top two officers. Director Frakes even makes a point of giving more screen time to the rest of the ensemble cast, whereas the previous two features -- FIRST CONTACT and GENERATIONS had focused almost exclusively on one character.
Overall, INSURRECTION is not the best STAR TREK movie to date. It lacks much of the inspiration that the previous two features had, opting instead to take a lighthearted tone. Those not expecting greatness will find this to be a real crowd-pleaser; but there will be disappointed fans out there. Probably best seen on a Saturday afternoon with nothing else to do.
-- Craig Roush<EMAIL_ADDRESS>-- Kinnopio's Movie Reviews http://www.execpc.com/~kinnopio
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.
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Related links: index of all rec.arts.movies.reviews reviews


-We'll spin the wheel every 4th week
-Will your player be suspended?
-Or will your player benefit from good behavior?
Will decide the team, player, then duration of suspension
Will decide the team, player who will receive an xp upgrade.
Coaches may protect two players per season from suspension.
Coaches may appeal suspensions for length only. We will re-spin the duration wheel at the risk of a harsher penalty.


RBEND2 Creates rectangular bend with dipole fringe field in old AT versions (Obsolete) RBEND2('FAMILYNAME', Length[m], BendingAngle[rad], EntranceAngle[rad], ExitAngle[rad], K, 'METHOD') INPUTS 1. fname - family name 2. L - Length of the arc for an on-energy particle [m] 3. A - Total bending angle [rad] 4. A1 - Entrance angle in [rad] (A/2 - for rectangular bends) 5. A2 - Exit angle in[rad] (A/2 - for rectangular bends) 6. K - Quadrupole K-value for combined funtion bends 7. gap - Dipole fringe field 8. method - Name of the function to use for tracking OUTPUTS 1. Elem - Returns assigned address in the FAMLIST that is uniquely identifies the family NOTES 1. Deprecated function, use atrbend instead 2. Model for BndMPoleSymplectic4Pass (Rad) can be selected with extra fields FringeBendEntrance/FringeBendExit = 0,1,2,3 Version 0 no dipole fringe fields Version 1 legacy version Brown First Order (K. Brown. A First and Second Order Matrix Theory for the Design of Beam Transport Systems and Charged Particle Spectrometers. Internal report, SLAC-75, 1982) Version 2 SOLEIL close to second order of Brown (J. Bengtsson and M. Meddahi. Modeling of Beam Dynamics and Comparison with Measurements for the Advanced Light Source. London, UK, 1994.) Version 3 THOMX (Dipole Fringe Field Effects in the ThomX Ring, J. Zhang and A. Loulergue, Proceedings of IPAC2013, Shanghai, China) FringeQuadEntrance/FringeQuadExit = 0,1,2 Version 0 no quadrupole fringe fields Version 1 Lee-Whiting Formula Version 2 Linear quadrupole fringe field using the 5 integrant a la Elegant See also rbend3, rbend, atrbend, atsbend
0001 function Elem=rbend2(fname,L,A,A1,A2,K,gap, method) 0002 %RBEND2 Creates rectangular bend with dipole fringe field in old AT versions (Obsolete) 0003 % 0004 % RBEND2('FAMILYNAME', Length[m], BendingAngle[rad], EntranceAngle[rad], 0005 % ExitAngle[rad], K, 'METHOD') 0006 % 0007 % INPUTS 0008 % 1. fname - family name 0009 % 2. L - Length of the arc for an on-energy particle [m] 0010 % 3. A - Total bending angle [rad] 0011 % 4. A1 - Entrance angle in [rad] (A/2 - for rectangular bends) 0012 % 5. A2 - Exit angle in[rad] (A/2 - for rectangular bends) 0013 % 6. K - Quadrupole K-value for combined funtion bends 0014 % 7. gap - Dipole fringe field 0015 % 8. method - Name of the function to use for tracking 0016 % 0017 % OUTPUTS 0018 % 1. Elem - Returns assigned address in the FAMLIST that is uniquely identifies 0019 % the family 0020 % 0021 % NOTES 0022 % 1. Deprecated function, use atrbend instead 0023 % 2. Model for BndMPoleSymplectic4Pass (Rad) can be selected with extra 0024 % fields 0025 % 0026 % FringeBendEntrance/FringeBendExit = 0,1,2,3 0027 % Version 0 no dipole fringe fields 0028 % Version 1 legacy version Brown First Order (K. Brown. A First and Second Order 0029 % Matrix Theory for the Design of Beam Transport Systems and Charged 0030 % Particle Spectrometers. Internal report, SLAC-75, 1982) 0031 % Version 2 SOLEIL close to second order of Brown (J. Bengtsson and M. Meddahi. 0032 % Modeling of Beam Dynamics and Comparison with Measurements for 0033 % the Advanced Light Source. London, UK, 1994.) 0034 % Version 3 THOMX (Dipole Fringe Field Effects in the ThomX Ring, J. Zhang and 0035 % A. Loulergue, Proceedings of IPAC2013, Shanghai, China) 0036 % 0037 % FringeQuadEntrance/FringeQuadExit = 0,1,2 0038 % Version 0 no quadrupole fringe fields 0039 % Version 1 Lee-Whiting Formula 0040 % Version 2 Linear quadrupole fringe field using the 5 integrant a la 0041 % Elegant 0042 % 0043 % See also rbend3, rbend, atrbend, atsbend 0044 0045 % 0046 % Added by Laurent S. Nadolski, SOLEIL, 03/04 0047 0048 ElemData = atrbend(fname,L,A,K,method); 0049 ElemData.EntranceAngle = A1; %for backwards compatibility 0050 ElemData.ExitAngle = A2; 0051 0052 ElemData.FringeBendEntrance = 2; 0053 ElemData.FringeBendExit = 2; 0054 ElemData.FringeQuadEntrance = 0; 0055 ElemData.FringeQuadExit = 0; 0056 0057 ElemData.FullGap = gap; 0058 ElemData.FringeInt1 = 0.5; % same convention as in Tracy II 0059 ElemData.FringeInt2 = 0.5; % same convention as in Tracy II 0060 0061 0062 global FAMLIST 0063 Elem = length(FAMLIST)+1; % number of declare families including this one 0064 FAMLIST{Elem}.FamName = fname; 0065 FAMLIST{Elem}.NumKids = 0; 0066 FAMLIST{Elem}.KidsList = []; 0067 FAMLIST{Elem}.ElemData = ElemData;


EBD - Easton Bible DIctionary
Furlong
FURLONG
"FURLONG "a stadium, a Greek measure of distance equal to 606 feet and 9 inches (
Luke 24:13
;
John 6:19
;
11:18
;
Revelation 14:20
;
21:16
).
"FURLONG "a stadium, a Greek measure of distance equal to 606 feet and 9 inches (Luke 24:13; John 6:19; 11:18; Revelation 14:20; 21:16).


Matt MacDonald
GLANCE
Better inspections at a glance
Select installation to monitor:
{{ sample_id | safe }}


--- layout: post title: 'Perl Magazine: Cultured Perl' date: '2016-08-25T21:42:00.002+02:00' author: Luca Ferrari tags: - perl - planet-perl-ironman modified_time: '2016-08-25T22:06:19.349+02:00' blogger_id: tag:blogger.com,1999:blog-1836481905487384887.post-2179100918108784092 blogger_orig_url: http://fluca1978.blogspot.com/2016/08/perl-magazine-cultured-perl.html permalink: /:year/:month/:day/:title.html ---


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public interface LSSerializer
LSSerializer
provides an API for serializing (writing) a
DOM document out into XML. The XML data is written to a string or an
output stream. Any changes or fixups made during the serialization affect
only the serialized data. The Document
object and its
children are never altered by the serialization operation.
During serialization of XML data, namespace fixup is done as defined in [DOM Level 3 Core]
, Appendix B. [DOM Level 2 Core]
allows empty strings as a real namespace URI. If the
namespaceURI
of a Node
is empty string, the
serialization will treat them as null
, ignoring the prefix
if any.
LSSerializer
accepts any node type for serialization. For
nodes of type Document
or Entity
, well-formed
XML will be created when possible (well-formedness is guaranteed if the
document or entity comes from a parse operation and is unchanged since it
was created). The serialized output for these node types is either as a
XML document or an External XML Entity, respectively, and is acceptable
input for an XML parser. For all other types of nodes the serialized form
is implementation dependent.
Within a Document
, DocumentFragment
, or
Entity
being serialized, Nodes
are processed as
follows
Document
nodes are written, including the XML
declaration (unless the parameter "xml-declaration" is set to
false
) and a DTD subset, if one exists in the DOM. Writing a
Document
node serializes the entire document.
Entity
nodes, when written directly by
LSSerializer.write
, outputs the entity expansion but no
namespace fixup is done. The resulting output will be valid as an
external entity.
true
, EntityReference
nodes are
serialized as an entity reference of the form "
&entityName;
" in the output. Child nodes (the expansion)
of the entity reference are ignored. If the parameter "
entities" is set to false
, only the children of the entity reference
are serialized. EntityReference
nodes with no children (no
corresponding Entity
node or the corresponding
Entity
nodes have no children) are always serialized.
CDATAsections
containing content characters that cannot be
represented in the specified output encoding are handled according to the
"
split-cdata-sections" parameter. If the parameter is set to true
,
CDATAsections
are split, and the unrepresentable characters
are serialized as numeric character references in ordinary content. The
exact position and number of splits is not specified. If the parameter
is set to false
, unrepresentable characters in a
CDATAsection
are reported as
"wf-invalid-character"
errors if the parameter "
well-formed" is set to true
. The error is not recoverable - there is no
mechanism for supplying alternative characters and continuing with the
serialization.
DocumentFragment
nodes are serialized by
serializing the children of the document fragment in the order they
appear in the document fragment.
Note: The serialization of a Node
does not always
generate a well-formed XML document, i.e. a LSParser
might
throw fatal errors when parsing the resulting serialization.
Within the character data of a document (outside of markup), any characters that cannot be represented directly are replaced with character references. Occurrences of '<' and '&' are replaced by the predefined entities < and &. The other predefined entities (>, ', and ") might not be used, except where needed (e.g. using > in cases such as ']]>'). Any characters that cannot be represented directly in the output character encoding are serialized as numeric character references (and since character encoding standards commonly use hexadecimal representations of characters, using the hexadecimal representation when serializing character references is encouraged).
To allow attribute values to contain both single and double quotes, the apostrophe or single-quote character (') may be represented as "'", and the double-quote character (") as """. New line characters and other characters that cannot be represented directly in attribute values in the output character encoding are serialized as a numeric character reference.
Within markup, but outside of attributes, any occurrence of a character
that cannot be represented in the output character encoding is reported
as a DOMError
fatal error. An example would be serializing
the element <LaCaņada/> with encoding="us-ascii"
.
This will result with a generation of a DOMError
"wf-invalid-character-in-node-name" (as proposed in "
well-formed").
When requested by setting the parameter "
normalize-characters" on LSSerializer
to true, character normalization is
performed according to the definition of fully
normalized characters included in appendix E of [XML 1.1] on all
data to be serialized, both markup and character data. The character
normalization process affects only the data as it is being written; it
does not alter the DOM's view of the document after serialization has
completed.
Implementations are required to support the encodings "UTF-8",
"UTF-16", "UTF-16BE", and "UTF-16LE" to guarantee that data is
serializable in all encodings that are required to be supported by all
XML parsers. When the encoding is UTF-8, whether or not a byte order mark
is serialized, or if the output is big-endian or little-endian, is
implementation dependent. When the encoding is UTF-16, whether or not the
output is big-endian or little-endian is implementation dependent, but a
Byte Order Mark must be generated for non-character outputs, such as
LSOutput.byteStream
or LSOutput.systemId
. If
the Byte Order Mark is not generated, a "byte-order-mark-needed" warning
is reported. When the encoding is UTF-16LE or UTF-16BE, the output is
big-endian (UTF-16BE) or little-endian (UTF-16LE) and the Byte Order Mark
is not be generated. In all cases, the encoding declaration, if
generated, will correspond to the encoding used during the serialization
(e.g. encoding="UTF-16"
will appear if UTF-16 was
requested).
Namespaces are fixed up during serialization, the serialization process will verify that namespace declarations, namespace prefixes and the namespace URI associated with elements and attributes are consistent. If inconsistencies are found, the serialized form of the document will be altered to remove them. The method used for doing the namespace fixup while serializing a document is the algorithm defined in Appendix B.1, "Namespace normalization", of [DOM Level 3 Core] .
While serializing a document, the parameter "discard-default-content" controls whether or not non-specified data is serialized.
While serializing, errors and warnings are reported to the application
through the error handler (LSSerializer.domConfig
's "
error-handler" parameter). This specification does in no way try to define all possible
errors and warnings that can occur while serializing a DOM node, but some
common error and warning cases are defined. The types (
DOMError.type
) of errors and warnings defined by this
specification are:
"no-output-specified" [fatal]
LSOutput
if no output is specified in the
LSOutput
. "unbound-prefix-in-entity-reference" [fatal]
true
and an entity whose replacement text
contains unbound namespace prefixes is referenced in a location where
there are no bindings for the namespace prefixes. "unsupported-encoding" [fatal]
In addition to raising the defined errors and warnings, implementations are expected to raise implementation specific errors and warnings for any other error and warning cases such as IO errors (file not found, permission denied,...) and so on.
See also the Document Object Model (DOM) Level 3 Load and Save Specification.
| Modifier and Type | Method and Description |
|---|---|
DOMConfiguration |
getDomConfig()
The
DOMConfiguration object used by the
LSSerializer when serializing a DOM node. |
LSSerializerFilter |
getFilter()
When the application provides a filter, the serializer will call out
to the filter before serializing each Node.
|
String |
getNewLine()
The end-of-line sequence of characters to be used in the XML being
written out.
|
void |
setFilter(LSSerializerFilter filter)
When the application provides a filter, the serializer will call out
to the filter before serializing each Node.
|
void |
setNewLine(String newLine)
The end-of-line sequence of characters to be used in the XML being
written out.
|
boolean |
write(Node nodeArg,
LSOutput destination)
Serialize the specified node as described above in the general
description of the
LSSerializer interface. |
String |
writeToString(Node nodeArg)
Serialize the specified node as described above in the general
description of the
LSSerializer interface. |
boolean |
writeToURI(Node nodeArg,
String uri)
A convenience method that acts as if
LSSerializer.write
was called with a LSOutput with no encoding specified
and LSOutput.systemId set to the uri
argument. |
DOMConfiguration getDomConfig()
DOMConfiguration
object used by the
LSSerializer
when serializing a DOM node.
DOMConfiguration
objects for
LSSerializer
adds, or modifies, the following
parameters:
"canonical-form"
true
true
will set the parameters
"format-pretty-print", "discard-default-content", and "xml-declaration
", to false
. Setting one of those parameters to
true
will set this parameter to false
.
Serializing an XML 1.1 document when "canonical-form" is
true
will generate a fatal error. false
"discard-default-content"
true
Attr.specified
attribute to decide what attributes
should be discarded. Note that some implementations might use
whatever information available to the implementation (i.e. XML
schema, DTD, the Attr.specified
attribute, and so on) to
determine what attributes and content to discard if this parameter is
set to true
. false
"format-pretty-print"
true
false
"ignore-unknown-character-denormalizations"
true
"unknown-character-denormalization"
warning (instead of
raising an error, if this parameter is not set) and ignore any
possible denormalizations caused by these characters. false
"normalize-characters"
DOMConfiguration
in [DOM Level 3 Core]
. Unlike in the Core, the default value for this parameter is
true
. While DOM implementations are not required to
support fully
normalizing the characters in the document according to appendix E of [XML 1.1], this
parameter must be activated by default if supported. "xml-declaration"
true
Document
, Element
, or Entity
node is serialized, the XML declaration, or text declaration, should
be included. The version (Document.xmlVersion
if the
document is a Level 3 document and the version is non-null, otherwise
use the value "1.0"), and the output encoding (see
LSSerializer.write
for details on how to find the output
encoding) are specified in the serialized XML declaration. false
"xml-declaration-needed"
warning if this will cause
problems (i.e. the serialized data is of an XML version other than [XML 1.0], or an
encoding would be needed to be able to re-parse the serialized data). String getNewLine()
null
will reset its
value to the default value.
void setNewLine(String newLine)
null
will reset its
value to the default value.
LSSerializerFilter getFilter()
DOMConfiguration
parameters have been applied. For
example, CDATA sections won't be passed to the filter if "
cdata-sections" is set to false
.void setFilter(LSSerializerFilter filter)
DOMConfiguration
parameters have been applied. For
example, CDATA sections won't be passed to the filter if "
cdata-sections" is set to false
.boolean write(Node nodeArg, LSOutput destination) throws LSException
LSSerializer
interface. The output is
written to the supplied LSOutput
.
LSOutput
, the encoding is found by
looking at the encoding information that is reachable through the
LSOutput
and the item to be written (or its owner
document) in this order:
LSOutput.encoding
,
Document.inputEncoding
,
Document.xmlEncoding
.
LSOutput
, a
"no-output-specified" fatal error is raised.
nodeArg
- The node to serialize.destination
- The destination for the serialized DOM.true
if node
was
successfully serialized. Return false
in case the
normal processing stopped but the implementation kept serializing
the document; the result of the serialization being implementation
dependent then.LSException
- SERIALIZE_ERR: Raised if the LSSerializer
was unable to
serialize the node. DOM applications should attach a
DOMErrorHandler
using the parameter "
error-handler" if they wish to get details on the error.boolean writeToURI(Node nodeArg, String uri) throws LSException
LSSerializer.write
was called with a LSOutput
with no encoding specified
and LSOutput.systemId
set to the uri
argument.nodeArg
- The node to serialize.uri
- The URI to write to.true
if node
was
successfully serialized. Return false
in case the
normal processing stopped but the implementation kept serializing
the document; the result of the serialization being implementation
dependent then.LSException
- SERIALIZE_ERR: Raised if the LSSerializer
was unable to
serialize the node. DOM applications should attach a
DOMErrorHandler
using the parameter "
error-handler" if they wish to get details on the error.String writeToString(Node nodeArg) throws DOMException, LSException
LSSerializer
interface. The output is
written to a DOMString
that is returned to the caller.
The encoding used is the encoding of the DOMString
type,
i.e. UTF-16. Note that no Byte Order Mark is generated in a
DOMString
object.nodeArg
- The node to serialize.DOMException
- DOMSTRING_SIZE_ERR: Raised if the resulting string is too long to
fit in a DOMString
.LSException
- SERIALIZE_ERR: Raised if the LSSerializer
was unable to
serialize the node. DOM applications should attach a
DOMErrorHandler
using the parameter "
error-handler" if they wish to get details on the error. Submit a bug or feature
For further API reference and developer documentation, see Java SE Documentation. That documentation contains more detailed, developer-targeted descriptions, with conceptual overviews, definitions of terms, workarounds, and working code examples.
Copyright © 1993, 2015, Oracle and/or its affiliates. All rights reserved.


Fluid Power Foundations
Pascals Law(F = P x A) - Pressure applied on a confined fluid is applied equally, in all directions, with equal force on all equal areas
Calculate area of a cylinder(Area = diameter2 x .7854)
Cylinder Velocity formulas
Find velocity fo a cylinder(Velocityin/min = Strokein x (60sec/min / Timesec)
Find cylinder velocity(Velocity = (Flowgpm x 231) / Areain2)
Fluid Dynamics
Head(Inlet pressurepsig = Specific Gravity x .433psi/ft-H2O
Understanding factors that affect fluid weight is critical for ensuring adequete pump inlet conditions.


Usability Study for local business
Usability Study for local business
Usability Study for local business, with Accessibility audit
As a consultant, I planned and executed a usability test on the Kataluna Horsemanship website. The report of this study included recommendations to improve the site navigation, content, layout, and language. These recommendations were implemented to enhance and design a user flow from discovery of the business to requesting their services.
In this position, I was able to surpass my role as a student customer service associate to work on projects the I was passionate about. I lead, planned, and executed accessibility testing for the Wildcat Shop website to comply with WCAG 2.0 Level AA standards. This project allowed me to develop my HTML and CSS skills along with my Web Accessibility knowledge. I also redesigned the Customer Interactions Log through observational and survey research methods which led to increased efficiency in recording important information while serving our customers. Finally, I researched product information and adjusted the website to improve the user’s shopping experience which led to increased sales. During the end of my time in this position I was instrumental in training new associates in the day to day procedures of the role. My other responsibilities include resolving customer discrepancies, order fulfillment, and collaboration with other departments.
“Shopping while Non-white in Ellensburg, WA” - Presented at CWU SOURCE, May 2019
I designed, conducted, and analyzed a true experiment to compare experiences of minority and white customers at
stores in Ellensburg, WA, with Dr. Marte Fallshore. By comparing customer experiences, we were able to conclude that
there was no significant difference in treatment of customers based on their assumed race. My goal in this project
was to analyze different factors that may affect a customer’s experience with a business. I gained a lot of insight
into the importance of considering human diversity when designing a product.
“How Researchers Address Ethical Concerns Regarding Habituating Nonhuman Primates: Results of a Survey and
Suggestions for Future Practice”
I analyzed and identified trends in quantitative survey and qualitative interview data for a report on the
habituation of primates, with MS Primate Behavior and Ecology student Victoria Green. This was my first experience
analyzing data trends and combining quantitative and qualitative data to gain a holistic representation of the
status of primate habituation.
As an Anthropological teaching assistant, I was able to assist Dr. Renteria-Valencia & McHale in completing daily lectures, tutoring students, and hosting office hours. During my lectures, I passed on my knowledge of anthropology, focusing on the importance of perspective, human diversity, and empathy. It was through these concepts that I was able to breakdown the intricacies of racism, gender inequality, and white privilege in the United States.
Specialization in User Experience
Summa Cum Laude
Dean’s Scholar Honor (top 5% of College of the Sciences graduates)
Graduated with high distinction
Concentration of Anthropology


Improving Care for People with Medicare
By Don Berwick, M.D., Administrator of the Centers for Medicare & Medicaid Services. Crossposted from HealthCare.gov
If you or a loved one has ever had the unfortunate experience of having a chronic or serious illness, you’ve experienced the frustration of our fragmented health care system. Just when you are feeling your worst, there you are in the doctor’s office or hospital room, repeating the same information time and time again, sitting through the same medical test more than once, and trying to track down lost or unavailable medical charts. These are all aspects of our current health care system we could each do without.
This can be a particular problem for the more than half of Medicare beneficiaries with five or more chronic conditions such as diabetes, arthritis, and kidney disease. These patients often receive care from multiple physicians and in multiple sites. A failure to coordinate care can lead to patients not getting the care they need or receiving duplicative care. This lack of coordination also increases their risk of suffering medical errors, such as receiving prescriptions for medications that ought not to be taken together. It can also cause complications that lead to needless hospital stays. Nearly one in five Medicare patients discharged from the hospital is readmitted within 30 days – a readmission many patients could have avoided if their care outside of the hospital had been better coordinated.
Improving coordination and communication among physicians and other providers and suppliers will help improve the care Medicare beneficiaries receive, while also helping lower costs. Numerous studies have shown that better care often costs less, because coordinated care helps to ensure that the patient receives the right care at the right time.
Thanks to the Affordable Care Act, the Department of Health and Human Services (HHS) today released proposed new rules to help doctors, hospitals, and other health care providers better coordinate care for Medicare patients through Accountable Care Organizations (ACOs). ACOs are designed to create and support a team of health care providers who treat individual patients by working together across care settings.
Over the last months, CMS has conducted extensive outreach to patient advocates, doctors, nurses, hospitals, health plans, employers, and other interested stakeholders to hear their thinking about the best way to shape this effort. We will continue to seek feedback on the proposed rules released today so that the final rules reflect the broadest consensus on how to improve care for people with Medicare and to provide a model for private payers to draw upon. We look forward to working with patients and care providers to build the most patient friendly and cost-effective health care system achievable
Under the proposal, ACO teams of doctors, hospitals and other health care providers and suppliers working together would coordinate and improve care for patients with Original Medicare. ACOs would have to meet high quality standards in five key areas:
•Patient/Caregiver Experience of Care
•Care Coordination
•Patient Safety
•Preventive Health
•At Risk Population/Frail Elderly Health
An ACO will be rewarded for providing better care and investing in bettering the health and lives of patients. ACOs are not just a new way to pay for care. They are a new model for the organization and delivery of care. Accountable Care Organizations are designed to lift the burden of fragmented and disconnected care from patients, while improving the partnership among patients, doctors, hospitals and other providers of care in making health care decisions.
To read more on this, check out the fact sheet. You can also read my blog at the New England Journal of Medicine.


SYNCED
Indicates that this Synchronizer is fully up to date and ready for all wallet functions. When set, a UI element may want to turn green. In this state, the balance can be trusted.


Map¶
-
class
Data_Reduction.GAVRT.
Map
(parent, raster_cfg_id, name=None)¶ Bases:
Data_Reduction.GAVRT.Observation
Class for all the data and methods associated with a raster scan map
Public attributes:
cfg - raster configuration cfg_id - entry in the raster configuration tableshape channels - list of channels which took tlog data map_data - dict of data from tlog table; 'tsrc' is dict keyed on channel logger - logging.Logger object name - map identifier raster_data - data from the raster table regrid - computes map data onto a rectangular grid rss_cfg - receiver configuration session - observing session to which this map belongs start - UNIX time at start of map end - UNIX time at end of map
Public methods:
get_map_config - returns a dict with the raster map configuration get_raster_data - gets the data for a raster scan map used for Zplot get_raster_keys - returns rasters associated with a given configuration
Methods Summary
returns a dict with the raster map configuration
gets the data for a raster scan map extracted for Zplot
Returns the rasters associated with a given configuration
Methods Documentation
-
get_map_config
()¶ returns a dict with the raster map configuration
This is the map generated for display during the observing session. The observer selects a channel. Other channel data are recorded in the t-logs for the channels enabled.
Example:
In [9]: map56.get_map_config() Out[9]: {'chan': 4.0, 'doy': 233.0, 'epoch':<PHONE_NUMBER>.0, 'freq': 8000.0, 'raster_cfg_id': 56.0, 'rate': 0.035000000000000003, 'rss_cfg_id': 109708.0, 'source_id': 66.0, 'step': 0.035000000000000003, 'utc': datetime.timedelta(0, 55679), 'year': 2017.0}
-
get_raster_data
()¶ gets the data for a raster scan map extracted for Zplot
-
get_raster_keys
()¶ Returns the rasters associated with a given configuration
-


Running a Simple Search Using Tide and Percolator
Now that you have your environment set
up and the two input files in your working directory, you can
conduct the search. The search process compares each spectrum
in demo.ms2 to peptides (subsequences of the
proteins) in fasta files provided in a
dirctory, yeast-index/. Peptides whose
precursor mass is close to that of the observed spectrum are scored
against that spectrum, and the top scores are reported in the output.
To conduct the search, we first create a peptide index
using tide-index
and then execute the search
using tide-search
.
-
$ crux tide-index small-yeast.fasta yeast-index
While generating the peptide index, you will see output like this:
INFO: Writing results to output directory 'crux-output'. INFO: CPU: guanine.gs.washington.edu INFO: Crux version: 4.0-ad795d65-2021-08-23 INFO: Tue Sep 14 20:43:36 PDT 2021 INFO: Beginning tide-index. INFO: Running tide-index... INFO: Writing results to output directory 'yeast-index'. INFO: Reading small-yeast.fasta and computing unmodified peptides... INFO: Generated 1735 targets, including duplicates. INFO: Generated 1735 decoys. INFO: Writing decoy fasta... INFO: Generating 1 decoy per target INFO: Reading proteins INFO: Skipped 0 duplicate targets and 0 duplicate decoys. INFO: Wrote 1735 targets and 1735 decoys. INFO: Precomputing theoretical spectra... INFO: Elapsed time: 0.102 s INFO: Finished crux tide-index. INFO: Return Code:0
This command produces the peptide index in
yeast-index
and also produces a directorycrux-output
containing the following files:- tide-index.decoy.fasta – a set of decoy proteins, derived from the proteins in the input set,
- tide-search.params.txt – a record of all the parameters used in the search, and
- tide-search.log.txt – a log file containing a copy of all the messages printed to the screen during the search.
Now you can run this command:
$ crux tide-search demo.ms2 yeast-index
- tide-search.target.txt – search results in tab-delimited format.
- tide-search.decoy.txt – search results from a decoy database in tab-delimited format.
- tide-search.params.txt – a record of all the parameters used in the search.
- tide-search.log.txt – a log file containing a copy of all the messages printed to the screen during the search.
-
$ crux percolator --test-fdr 0.1 crux-output/tide-search.target.txt
While the analysis is running, you will see output like this
INFO: CPU: guanine.gs.washington.edu INFO: Crux version: 4.1-6d021498-2021-10-19 INFO: Wed Oct 27 18:56:07 PDT 2021 INFO: Beginning percolator. INFO: Converting input to pin format. INFO: Parsing crux-output/tide-search.target.txt INFO: Assigning index 0 to demo.ms2. INFO: Parsing crux-output/tide-search.decoy.txt INFO: There are 4014 target matches and 4014 decoys INFO: Maximum observed charge is 5. INFO: File conversion complete. INFO: Percolator version 3.05.nightly-137-e806a0c5, Build Date Aug 17 2021 11:04:02 INFO: Copyright (c) 2006-9 University of Washington. All rights reserved. INFO: Written by Lukas Käll<EMAIL_ADDRESS>in the INFO: Department of Genome Sciences at the University of Washington. INFO: Issued command: INFO: percolator --results-peptides crux-output/percolator.target.peptides.txt --decoy-results-peptides crux-output/percolator.decoy.peptides.txt --results-psms crux-output/percolator.target.psms.txt --decoy-results-psms crux-output/percolator.decoy.psms.txt --verbose 2 --protein-decoy-pattern decoy_ --seed 1 --subset-max-train 0 --trainFDR 0.01 --testFDR 0.1 --maxiter 10 --search-input auto --no-schema-validation --protein-enzyme trypsin --post-processing-tdc crux-output/make-pin.pin INFO: Started Wed Oct 27 18:56:08 2021 INFO: on guanine.gs.washington.edu INFO: Hyperparameters: selectionFdr=0.01, Cpos=0, Cneg=0, maxNiter=10 INFO: Reading tab-delimited input from datafile crux-output/make-pin.pin INFO: Features: INFO: deltLCn deltCn XCorr PepLen Charge1 Charge2 Charge3 Charge4 Charge5 enzN enzC enzInt lnNumDSP dM absdM INFO: Found 8028 PSMs INFO: Separate target and decoy search inputs detected, using target-decoy competition on Percolator scores. INFO: Train/test set contains 4014 positives and 4014 negatives, size ratio=1 and pi0=1 INFO: Selecting Cpos by cross-validation. INFO: Selecting Cneg by cross-validation. INFO: Split 1: Selected feature 3 as initial direction. Could separate 264 training set positives with q<0.01 in that direction. INFO: Split 2: Selected feature 3 as initial direction. Could separate 286 training set positives with q<0.01 in that direction. INFO: Split 3: Selected feature 3 as initial direction. Could separate 313 training set positives with q<0.01 in that direction. INFO: Found 489 test set positives with q<0.1 in initial direction INFO: Reading in data and feature calculation took 0.2100 cpu seconds or 0 seconds wall clock time. INFO: ---Training with Cpos selected by cross validation, Cneg selected by cross validation, initial_fdr=0.01, fdr=0.01 INFO: Iteration 1: Estimated 497 PSMs with q<0.1 INFO: Iteration 2: Estimated 498 PSMs with q<0.1 INFO: Iteration 3: Estimated 497 PSMs with q<0.1 INFO: Iteration 4: Estimated 495 PSMs with q<0.1 INFO: Iteration 5: Estimated 499 PSMs with q<0.1 INFO: Iteration 6: Estimated 500 PSMs with q<0.1 INFO: Iteration 7: Estimated 499 PSMs with q<0.1 INFO: Iteration 8: Estimated 500 PSMs with q<0.1 INFO: Iteration 9: Estimated 499 PSMs with q<0.1 INFO: Iteration 10: Estimated 500 PSMs with q<0.1 INFO: Learned normalized SVM weights for the 3 cross-validation splits: INFO: Split1 Split2 Split3 FeatureName INFO: -0.2393 0.1490 -0.9274 deltLCn INFO: 0.1964 0.0398 0.9062 deltCn INFO: 1.7107 2.0151 3.3339 XCorr INFO: 0.1113 -0.5086 -0.7459 PepLen INFO: 0.0000 0.0000 0.0000 Charge1 INFO: -0.0370 -0.1876 -0.5067 Charge2 INFO: 0.0155 0.1021 0.3208 Charge3 INFO: 0.0561 0.2259 0.5142 Charge4 INFO: 0.0188 0.0916 0.1388 Charge5 INFO: 0.0000 0.0000 0.0000 enzN INFO: 0.0000 0.0000 0.0000 enzC INFO: -0.0209 -0.0580 -0.0997 enzInt INFO: 0.2998 -0.3144 0.6631 lnNumDSP INFO: -0.0458 0.1445 -0.3350 dM INFO: 0.1462 0.7423 0.8114 absdM INFO: -2.1264 -3.3482 -5.0740 m0 INFO: Found 499 test set PSMs with q<0.1. INFO: Selected best-scoring PSM per scan+expMass (target-decoy competition): 1787 target PSMs and 1168 decoy PSMs. INFO: Multiple instantiations of Normalizer INFO: Multiple instantiations of Normalizer INFO: Multiple instantiations of Normalizer INFO: Tossing out "redundant" PSMs keeping only the best scoring PSM for each unique peptide. INFO: Calculating q values. INFO: Final list yields 362 target peptides with q<0.1. INFO: Calculating posterior error probabilities (PEPs). INFO: Processing took 5.5800 cpu seconds or 4 seconds wall clock time. INFO: Multiple instantiations of Normalizer INFO: Multiple instantiations of Normalizer INFO: Elapsed time: 4.9 s INFO: Finished crux percolator. INFO: Return Code:0
The crux-output directory will now contain eight new files:
- percolator.target.psms.txt – a list of peptide-spectrum matches (PSMs), ranked by quality,
- percolator.target.peptides.txt – a list of peptides, ranked by quality,
- percolator.decoy.psms.txt – a ranked list of decoy PSMs,
- percolator.decoy.peptides.txt – a ranked list of decoy peptides,
- percolator.pout.xml – a single XML output file containing all of the Percolator results,
- make-pin.pin.xml: an intermediate XML format file that is used by Percolator.
- percolator.params.txt – parameter file, and
- percolator.log.txt – log file.
As before, you might want to sort the Percolator output files, this time by the "percolator score" column.
The beginning of the resulting percolator.target.psms.sort.txt file will look like this:
file_idx scan charge spectrum precursor m/z spectrum neutral mass peptide mass percolator score percolator q-value percolator PEP distinct matches/spectrum sequence protein id flanking aa 0 57701 3 1190.5835 3568.7287 3568.7209 3.22302477 0.002617801 5.1679258e-07 1 GVLGYTEDAVVSSDFLGDSHSSIFDASAGIQLSPK YGR192C KF 0 28906 3 731.0363 2190.0869 2190.0817 3.05633388 0.002617801 9.7863355e-07 2 HLVHEVTSPQAFEGLENAGR YGL009C RK 0 60831 4 838.1685 3348.6450 3348.6414 3.01509804 0.002617801 1.1460915e-06 1 HEIASEVASFLNGNIIEHDVPEHFFGELAK YLR249W RG 0 22958 3 520.9552 1559.8437 1559.8420 2.99335675 0.002617801 1.2456261e-06 1 SHINVVVIGHVDSGK YBR118W KS 0 28872 4 548.5290 2190.0869 2190.0817 2.98298458 0.002617801 1.2961123e-06 2 HLVHEVTSPQAFEGLENAGR YGL009C RK In this output, the PSMs are ranked by "percolator score," with higher scores indicating a higher quality match. The associated statistical confidence estimate is reported as a "percolator q-value," interpreted as the minimal false discovery rate threshold at which this match is deemed significant. In the list above, all of the matches have q-values of <0.002, meaning that they are highly significant. The meanings of the remaining columns are described here. Note that when you run Percolator on your own computer, the results may be somewhat different than the ones reported here. This is because Percolator involves randomly subdividing the data in a cross-validation scheme (described in detail here.)
While the search is running, you will see output like this:
INFO: Writing results to output directory 'crux-output'. INFO: CPU: guanine.gs.washington.edu INFO: Crux version: 4.1-6d021498-2021-10-19 INFO: Wed Oct 27 18:37:40 PDT 2021 INFO: Beginning tide-search. INFO: Running tide-search... INFO: Number of Threads: 1 INFO: Reading index yeast-index/ INFO: Read 56 target proteins INFO: Converting demo.ms2 to spectrumrecords format INFO: Elapsed time starting conversion: 0.0616 s INFO: Converting ms_level 2 ... INFO: Reading spectrum file crux-output/demo.ms2.spectrumrecords.tmp. INFO: Read 7535 spectra. INFO: Starting search. INFO: 1000 spectrum-charge combinations searched, 13% complete INFO: 2000 spectrum-charge combinations searched, 27% complete ...  INFO: [Thread 0]: Retained 100% of peaks. INFO: Time per spectrum-charge combination: 0.003292 s. INFO: Average number of candidates per spectrum-charge combination: 1.065428 INFO: Elapsed time: 24.8 s INFO: Finished crux tide-search. INFO: Return Code:0
The crux-output directory now contains four new files containing the search results:
Note that the peptide-spectrum matches (PSMs) in the tide-search.target.txt are sorted by the precursor m/z value associated with the spectrum. If you want to see which PSMs got the highest XCorr scores, you can sort the file using tools such as Python and Excel.
The first lines of the resulting sorted output file should look like this:
| file | scan | charge | spectrum precursor m/z | spectrum neutral mass | peptide mass | delta_cn | delta_lcn | xcorr score | xcorr rank | distinct matches/spectrum | sequence | modifications | cleavage type | protein id | flanking aa | target/decoy |
| demo.ms2 | 60135 | 3 | 1057.8792 | 3170.6156 | 3170.6106 | 0 | 0 | 6.69412756 | 1 | 1 | IALSRPNVEVVALNDPFITNDYAAYMFK | trypsin-full-digest | YGR192C(19) | RY | target | |
| demo.ms2 | 60355 | 4 | 838.1677 | 3348.6418 | 3348.6411 | 0 | 0 | 6.36378858 | 1 | 1 | HEIASEVASFLNGNIIEHDVPEHFFGELAK | trypsin-full-digest | YLR249W(27) | RG | target | |
| demo.ms | 257701 | 3 | 1190.5835 | 3568.7287 | 3568.7202 | 0 | 0 | 6.23474788 | 1 | 1 | GVLGYTEDAVVSSDFLGDSHSSIFDASAGIQLSPK | trypsin-full-digest | YGR192C(270) | KF | target | |
| demo.ms2 | 46517 | 3 | 739.3639 | 2215.0698 | 2215.0659 | 0 | 0 | 6.11194706 | 1 | 1 | HELSSLADVYINDAFGTAHR | trypsin-full-digest | YCR012W(150) | RA | target | |
| demo.ms2 | 75478 | 3 | 975.1579 | 2922.4519 | 2922.4465 | 0 | 0 | 5.96129632 | 1 | 1 | NMITGTSQADCAILIIAGGVGEFEAGISK | 11_S_57.02 | trypsin-full-digest | YBR118W(101) | KD | target |
The final step is to post-process the search results using Percolator. Each spectrum has been compared to many peptides and we would like to return only the best match for each spectrum. We also expect that some fraction of the spectra will not be identifiable as peptides (due to chemical noise, multiple peptides co-eluting, poor fragmentation, etc.). The analysis step filters out those spectra and ranks the matches by quality.


How to set the banners module to display banners vertically down the page.
Displaying Banners Vertically


Philip Dickau
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The original lightbox script.
Eight years later — still going strong!
js
folder to find jquery-1.11.0.min.js
and lightbox.min.js
and load both of these files. Load jQuery first.

css
folder to find lightbox.css
and load it.
<link href="css/lightbox.css" rel="stylesheet" />
img
folder to find close.png
, loading.gif
, prev.png
,
and next.png
. These files are used in lightbox.css
. By default, lightbox.css
will look for these images in a folder called img
.
data-lightbox
attribute to any image link to activate Lightbox. For the value of the
attribute, use a unique name for each image. For example:
Image #1
Optional: Add a data-title
attribute if you want to show a caption.
data-lightbox
attribute value for all of the images. For example:
Image #2
Image #3
Image #4
If you want a feature added, create an issue on Github. Someone else or I might be able to help out. No guarantees.
If you find a bug, create an issue on Github. Include your operating system and browser version along with detailed steps on how to reproduce the bug.
If you followed the instructions, but still can't get Lightbox working, search Stackoverflow to see if other people have run into the same issue as you. If not, post a new question.
You can access older versions and see a changelog on the Github releases page.
Lightbox is 100% free to use. If you're using Lightbox on a commercial project and feeling generous, consider a donation. Thanks!


@(name: String, player: String, gameState: String)(implicit assetsFinder: AssetsFinder)
Once stones are played, use the keyboard arrow keys to scroll the board.


§708-825 Criminal tampering; definitions of terms. In sections 708-826 and 708-827:
To "tamper with" means to interfere improperly with something, meddle with it, or make unwarranted alterations in its existing condition.
"Utility" means an enterprise which provides gas, electric, steam, water or communications services, and any common carrier; it may be either publicly or privately owned or operated. [L 1972, c 9, pt of §1]
Revision Note
Numeric designations deleted and punctuation changed pursuant to §23G-15.


deck module¶
-
class
deck.
Deck
(modules)[source]¶ Bases:
object
The Deck class is a representation of the robot deck
The Deck class is intended to be instantiated to a deck object which contains the subclassed deck modules labeled by slot #. Slot numbers are integers from 1 to 15, starting from the front-left slot and ending with the back-right slot as follows:
3 6 9 12 15 2 5 8 11 14 1 4 7 10 13