2019
The RBTools for Mac package uses three main tools: Zotero, Hypothes.is and Open Semantic Search
Open Semantic Search Search Engine and Open Source Text Mining & Text Analytics
Instructions
Package
Read the Readme.md file.
Confirm Operating System and disk space requirements are met by looking at readme.md in the Git repository.
Download from the repository at https://github.com/MQ-FOAR705/Osmond-Chiu—Proof-of-Concept—Implementation.git.
Open Zip File.
Control-click the RBTools package in unzipped folder then select open to begin installation and bypass any security settings that may prevent the file from running
Read these instructions.
Instructions
Zotero
Check that Zotero installation file has been mounted if installation does not automatically pop-up.
Drag the Zotero icon to ’Drag here to install’.
Complete Zotero installation.
Instructions
Zotero
Open browser.
Click Register for a Free Account.
Choose the username and email address you want to use for the account.
Click Register and you’ll receive a confirmation email shortly.
Click on the link in the confirmation email you receive to confirm your account set up.
Instructions
Zotero
Open Zotero.
Open Preferences (via the Zotero menu) and select the Sync tab.
Enter your Zotero user name and password.
Click set up syncing.
Check both boxes under File Syncing and choose Zotero storage for My Library.
Close Preferences.
Import relevant file or add item from identifiers to add references.
Click the green circular arrow button at the top right corner of the Zotero program window to sync account with software.
Instructions
Zotero
Overleaf
Open Zotero
Open Preferences (via the Zotero menu) and select the Sync tab.
Enter your Zotero user name and password.
Close Preferences.
Click the green circular arrow button at the top right corner of the Zotero program window to sync account with software.
Go to https://www.overleaf.com/.
Register an Overleaf account if you do not already have one.
Log into Overleaf
Click on Account then Account Settings.
Scroll down the page to Zotero Integration.
Click on ’Link to Zotero’ and you will be prompted to log into Zotero.org
Enter Zotero username and password.
Create a New Private Key.
Click on Accept Defaults and you will be automatically returned to your Overleaf account settings page.
Scroll down to the bottom of the page to check Zotero Integration.
Instructions
Zotero
Overleaf
Go to Overleaf.
Select the project that you want to link to Zotero.
Select New File from the top menu.
Select ’From Zotero’, name the file for the project and choose a format (BibLaTeX).
Go to main.tex file and add your Zotero file (as a bib resource) to header with the codes
\usepackage{biblatex} and \bibliography{name_of_file.bib}
.
Instructions
Zotero
Overleaf
Select where you want to place the reference in the text.
Write /cite then enter in citation.
Instructions
Zotero
Overleaf
Select where you want to place the bibliography in the text.
Insert your bibliography by typing into the source code
/printbibliography
.
Instructions
Hypothes.is
Open browser
Go to hypothes.is/signup.
Choose a username, enter your email address, and create a password.
Click Sign Up and you will receive a confirmation email to active your account.
Click the link in the email received to validate your email and activate your Hypothes.is account.
Instructions
Hypothes.is
Go to web.hypothes.is/start.
Click add-on for Chrome.
Accept the prompt in the pop up window to install the extension.
Consider adding a bookmarklet if you do not have/use Chrome.
Instructions
Hypothes.is
Go to web.hypothes.is/start.
Drag ’Hypothesis Bookmarklet’ to the bookmarks bar, or right-click/control-click to bookmark the link.
Instructions
Hypothes.is
Identify what you want tagged based on topics, themes, keywords, source types.
Create a text document to list tags.
Write down list of tags based on identified subjects.
Save text document list of tags
Instructions
Hypothes.is
Go to webpage or open a local file in a browser to highlight.
Click on Hypothes.is icon in browser toolbar or bookmarklet.
Click toggle or resize sidebar.
Log into your Hypothes.is account.
Choose whether you want the highlight to be public or in a private group.
Select text that you wish to highlight.
Click on the Highlight icon that appeals.
Instructions
Hypothes.is
Go to webpage or open a local file in a browser to annotate.
Click on Hypothes.is icon in browser toolbar or bookmarklet.
Click toggle or resize sidebar.
Log into your Hypothes.is account.
Choose whether you want the highlight to be public or in a private group.
Select text that you wish to annotate.
Click on the Annotate icon that appeals.
Type annotations in text box.
Type tags for the annotation.
Choose where to post the annotations (public or private group) and click.
Instructions
Hypothes.is
Go to Hypothes.is website.
Log into your Hypothes.is account.
Click on gear icon.
Click on ’Developer.
Click Generate Your API token.
Copy token in text box for use.
Instructions
Open Semantic Search
Double-click on the VirtualBox.pkg installer file displayed in Install-Package folder on Desktop.
Select where to install Oracle VM VirtualBox.
Instructions
Open Semantic Search
Download the virtual machine image Open Semantic Desktop Search.
Find Oracle VM VirtualBox icon in the "Applications" folder in the Finder.
Start VirtualBox.
Go into the menu "File" start the option "Import Appliance".
Click folder icon then choose the Open Semantic Desktop Search .ova file and select "Continue"
Click "Import" at the bottom of the pop-up screen.
Edit the settings of the new virtual machine (choose the virtual machine in the left sidebar and click the Settings button in the top bar).
Go to "Shared Folders" then click the Add Shared Folders icon.
Click on "Folder Path" then select folder.
Activate the option Auto-mount then click "Ok".
Instructions
Open Semantic Search
Start VirtualBox if not open yet.
Select Open Semantic Desktop Search.
Click on Start Icon.
Instructions
Open Semantic Search
Enter text into the Open Semantic Search interface.
Click search.
Select relevant filter in facets on the right navigation sidebar.
Instructions
Open Semantic Search
Click on Manage Structure in the topbar of the Open Semantic Search interface.
Click Add New Entry.
Select Tag as Facet.
Type name of tag in ’Label or name’.
Save tag.
Return to local host search home page.
Instructions
Open Semantic Search
Search for document you wish to tag.
Click Tagging and annotation for this document in the search results.
Tick the checkbox of pre-existing tags.
Click save.
Return to local host search home page.
Instructions
Open Semantic Search
Hypothes.is
Repeat previous instructions to find API token in Hypothes.is account.
Don’t regenerate a new token.
Copy API Token.
Open loaded Open Semantic Search.
Click on Datasources in the topbar of the Open Semantic Search interface.
Click on Annotations (Hypothesis).
Enter copied API Token for Authorization.


| Greetings!
I'm Danielle S. a Year Two currently studying in DXCD (Diploma in Experience in Communication and Design). I live in Yishun, Singapore where the weather is always unpredictable. The reason why I chose DFAB (Digital Fabrication and Prototyping) as my elective module is because I was interested in learning about prototyping skills. I was also interested in learning how to do 3D printing and laser cutting, thinking I would be able to learn some fundamentals on using such techniques. With some knowledge of HTML and CSS from one of my earlier modules, I want to learn how to apply them in designing a website. |


Bcn days@Pompeu Fabra
June 28, 2007
This week I´m attending the Macroeconomics Summer School at Pompeu Fabra University, in Barcelona. Though it might seem hard to follow, it´s only a couple of hours a day (9:00/11:00). Then I go to the library to read a bit, I have lunch at the "campus" (it´s only a couple of buildings with a yard inside each), read or play with the computer for another while and go for a walk around, a coffee or whatever leisure activity till supper time.
Although I´ve been many times in the city, this one has some differences: first, it´s the first time I come here for "work´s issues". It´s only a couple of hours a day, but in addition to the time I spend in the library it allows me to get the taste of the environment of probably the best university for economics in Spain. And travelling for work feels good, too: it´s basically about getting to know people who spend at least as many hours as I do in touch with economics and urban stuff, with people who is really into this topics and from whom I can learn tons of things... and that is a pretty nice feeling. In a not far future, I´d like to fill my life with many of trips like this one (you know, not only for fun but also for work), so this could be considered the first of a longer list. At least that´s what I hope...
The way I´m living here it´s also different from past times. I´m living in a very close friend of my mum´s house, which is located very far from the center, what forces me to commute everyday about 45 minutes each way. Being used to bike to the uni in less than 20 minutes, this' a huge change.
And at last, but definitely not least, the way that family is treating me is taking this week to a much higher grade. They´ve open the door and said: guy, come in and feel home :) Moreover, it´s thanks to them (specially Ana) that I got to know what Sant Joan festivity really is and how is understood in Catalonia, just in three words: firecrackers, firecrackers and firecrackers...


--- ---
List of Seminars. Latest seminars first.
| Seminar Date | Speaker | |
| | December 26, 2008 | Dr. K. N. Raghavan, I.M.Sc |
| | December 24, 2008 | Prof. G. Pisier, University Of Paris 6 and Texas A & M University |
| | December 23, 2008 | Prof. K. R. Parthasarathy, Indian Statistical Institute, Delhi |
| | December 22, 2008 | Prof. Nessim Sibony, Departement de Mathematiques dOrsay Universit´e Paris-Sud |
| | December 17, 2008 | Dr. Apoorva Khare, University of California, Riverside |
| | December 16, 2008 | Dr. Kavita Ramanan, Carnegie Mellon University |
| | December 16, 2008 | Dr. David Farris, U.C. Berkeley |
| | December 2, 2008 | Dr. Shanta Laishram, University of Waterloo, Canada |
| | November 11, 2008 | Indian Institute of Technology, Kharagpur |
| | November 6, 2008 | Amit Apte, T I F R Centre, Bangalore |
| | November 6, 2008 | Siva Athreya, ISI, Bangalore |
| | November 3, 2008 | Prof. Alan McIntosh, Australian National University Canberra, Australia |
| | October 28, 2008 | Prof. Zindine Djadli |
| | September 19, 2008 | Mark Agranovsky, Bar-Ilan University |
| | September 2, 2008 | Prof. Kang-Tae Kim, Pohang University of Science and Technology, Korea |
| | August 29, 2008 | Prof. Prof. G. D. Veerappa Gowda, TIFR-CAM, Bangalore |
| | August 27, 2008 | Prof. Ali Baklouti, University of Sfax, Sfax, Tunisia |
| | August 25, 2008 | Dr. Pranav Pandit, University of Pennsylvania |
| | August 22, 2008 | Prof. Ali Baklouti, University of Sfax, Sfax, Tunisia |
| | August 22, 2008 | Professor Marius Tucsnak, Nancy Universites-IECN, INRIA-CORIDA |
| | August 13, 2008 | Dr. Moulinath Banerjee, University of Michigan |
| | August 12, 2008 | Dr. Moulinath Banerjee, University of Michigan |
| | August 6, 2008 | Dr. Praveen Pankajakshan, Department of Computer Science, INRIA, Sophia-Antipolis Cedex, FRANCE |
| | August 5, 2008 | Dr. K. B. Athreya, Iowa State University |
| | August 4, 2008 | Dr. K. B. Athreya, Iowa State University |
| | July 29, 2008 | Mr. Anindya Goswami, IISc, Bangalore |
| | July 29, 2008 | Dr. Manjunath Krishnapur, University of Toronto |
| | July 23, 2008 | Dr. Aftab Pande, Cornell University |
| | July 16, 2008 | Dr. Jayadev Athreya, Yale University |
| | July 8, 2008 | Dr. Ameya Pitale, University of Oklahoma |
| | June 24, 2008 | Mr. Ananth Hariharan, University of Kansas, Lawrence |
| | June 10, 2008 | Mr. Ananth, Univ. of Kansas |
| | May 23, 2008 | Professor Paul Binding, University of Calgary, Canada |
| | May 21, 2008 | Dr. Ayan Mahalanobis, Stevens institute, New Jersey |
| | May 19, 2008 | Dr. Pranay Goel, National Institute of Health, USA |
| | April 24, 2008 | Rahul Roy, Indian Statistical Institute, Delhi |
| | April 24, 2008 | S. Ramasubramanian, Indian Statistical Institute, Bangalore |
| | April 11, 2008 | Dr. Eli Lebow, NCBS, Bangalore |
| | April 9, 2008 | Prof. Govind Menon, Brown University |
| | April 8, 2008 | Prof. Sergei Pereverzyev, Johann Radon Institute for Computational and Applied Mathematics, Austria |
| | April 4, 2008 | Dr. Eli Lebow, NCBS, Bangalore |
| | April 3, 2008 | Prof. Ralph Greenberg, University of Washington |
| | March 28, 2008 | Prof. Michael Dritschel, Newcastle University, UK |
| | March 20, 2008 | Dr. Pralay Chatterjee, IMSc, Chennai |
| | March 19, 2008 | Dr. S. Vishwanath, IISc, Bangalore |
| | March 18-20, 2008 | Prof. Divakar Viswanath, University of Michigan |
| | February 28, 2008 | Dr. Anna Zauskova, Institute of Numerical Simulation, Hamburg University of Technology, Germany |
| | February 22, 2008 | Prof. Phoolan Prasad, IISc, Bangalore |
| | February 20, 2008 | Prof. Takeo Takahashi, Institut Éie Cartan de Nancy, France |
| | February 15, 2008 | Dr. Anna Zauková, Institute of Numerical Simulation, Hamburg University of Technology, Germany |
| | February 11, 2008 | Prof. H. N. Mhaskar, California State University Los Angeles, U.S.A |
| | February 11, 2008 | Mr. Anindya Goswami, IISc, Bangalore |
| | February 6, 2008 | Dr. Siddhartha Gadgil, IISc, Bangalore |
| | February 5-8, 2008 | Prof. Rajesh P. N. Rao, University of Washington |
| | February 4, 2008 | P. Dehornoy, ENS, Paris |
| | February 1, 2008 | Prof. Rakesh, University of Delaware |
| | January 21, 2008 | Prof. Srikanth Iyengar, University of Nebraska, USA |
| | January 18, 2008 | Prof. Ambar Sengupta, Louisiana State University |
| | January 17, 2008 | Dr. D. Anirban Banerjee, Max-Planck Institute, Leipzig |
| | January 8, 2008 | Dr. D. Ajay Ramadoss, University of Oklahoma |
| | January 4, 2008 | Dr. D. Yogeshwaran, Ecole Normale Superieure, Paris |
|
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||
| Indian Institute of Science | Contact the Administrator | Disclaimer |


The Bikar
Engineering @ North Hall HS — Spring 2017
The Bikar was my Year-End-Project for one of my high school's engineering courses. It is a fully-electric go-kart with front and rear suspension, independent motor control, and is made from deconstructed bicycles, electronic components, and a square tube (mild steel) chassis. It won 1st place in my school system's annual technology fair, and was a big hit throughout the school.
Never having made a vehicle before, I first had to learn about all the different systems that vehicles have to make them go. After the initial research, I began thinking of designs and planning out the construction phases. Once I felt content with the plans, I began the construction process and worked my way through to the final product. I completed the project with a presentation displaying the process, which you can view here.
With a project this big, there was definitely a lot to learn. As for technical skills, I learned a great deal of basic metalworking, how to work with circuitry, how to weld, and project management. I learned about steering, suspension, and motor-control systems, as well as the basics of vehicle design. During this project I began to realize the importance of patience and perseverence, and I consolidated my love for engineering as a whole.
I thoroughly enjoyed the time I spent on this project, and while there are many things I would like to improve about The Bikar, I have carried the skills and lessons with me and have applied them in various other projects.


|
LiteCore
Couchbase Lite cross-platform core implementation
|
Data Structures | |
| struct | C4IndexOptions |
| Options for indexes; these each apply to specific types of indexes. More... | |
Enumerations | |
| enum | C4IndexType : uint32_t { kC4ValueIndex, kC4FullTextIndex, kC4GeoIndex } |
| Types of indexes. More... | |
Functions | |
| bool | c4db_createIndex (C4Database *database, C4String name, C4String expressionsJSON, C4IndexType indexType, const C4IndexOptions *indexOptions, C4Error *outError) |
| Creates a database index, of the values of specific expressions across all documents. More... | |
| bool | c4db_deleteIndex (C4Database *database, C4String name, C4Error *outError) |
Deletes an index that was created by c4db_createIndex . More... | |
| C4SliceResult | c4db_getIndexes (C4Database *database, C4Error *outError) |
| Returns the names of all indexes in the database. More... | |
| enum C4IndexType : uint32_t |
| bool c4db_createIndex | ( | C4Database * | database, |
| C4String | name, | ||
| C4String | expressionsJSON, | ||
| C4IndexType | indexType, | ||
| const C4IndexOptions * | indexOptions, | ||
| C4Error * | outError | ||
| ) |
Creates a database index, of the values of specific expressions across all documents.
The name is used to identify the index for later updating or deletion; if an index with the same name already exists, it will be replaced unless it has the exact same expressions.
Currently two types of indexes are supported:
Value indexes speed up queries by making it possible to look up property (or expression) values without scanning every document. They're just like regular indexes in SQL or N1QL. Multiple expressions are supported; the first is the primary key, second is secondary. Expressions must evaluate to scalar types (boolean, number, string). Full-Text Search (FTS) indexes enable fast search of natural-language words or phrases by using the MATCH
operator in a query. A FTS index is required for full-text search: a query with a MATCH
operator will fail to compile unless there is already a FTS index for the property/expression being matched. Only a single expression is currently allowed, and it must evaluate to a string.
Note: If the value of an expression in some document is missing or an unsupported type, that document will just be omitted from the index. It's not an error.
Expressions are defined in JSON, as in a query, and wrapped in a JSON array. For example, [[".name.first"]]
will index on the first-name property. Note the two levels of brackets, since an expression is already an array.
Currently, full-text indexes are limited to a single expression only. Geospatial indexes are not implemented at all yet.
| database | The database to index. |
| name | The name of the index. Any existing index with the same name will be replaced, unless it has the identical expressions (in which case this is a no-op.) |
| expressionsJSON | A JSON array of one or more expressions to index. Each expression takes the same form as in a query, which means it's a JSON array as well; don't get mixed up by the nesting! |
| indexType | The type of index (value or full-text.) |
| indexOptions | Options for the index. If NULL, each option will get a default value. |
| outError | On failure, will be set to the error status. |
| bool c4db_deleteIndex | ( | C4Database * | database, |
| C4String | name, | ||
| C4Error * | outError | ||
| ) |
Deletes an index that was created by c4db_createIndex
.
| database | The database to index. |
| name | The name of the index to delete |
| outError | On failure, will be set to the error status. |
| C4SliceResult c4db_getIndexes | ( | C4Database * | database, |
| C4Error * | outError | ||
| ) |
Returns the names of all indexes in the database.
| database | The database to check |
| outError | On failure, will be set to the error status. |


In order to complete the game, you have to tell the robot how to light up all the light tiles in a given level. However, your only way of interacting with the robot is by assembling instructions into a program that the robot can execute.
You can create a program by dragging instructions from the instruction list and dropping them into the program frame. The instructions will automatically be added to the bottom of the highlighted block.
Execute your program by clicking the Run button. If you are not satisfied with your current program, you can interrupt the execution at any moment by clicking the Stop button. This will reset the robot to his initial position.
A level is made up from gray tiles which have a certain height. Special light tiles are scattered throughout the level. These light tiles can either be blue, which means that they are unlit, or they can be yellow, which means that they are lit. If at any given moment, all the light tiles in a level are lit, you have completed that level.
When walking forward, the robot will will advance one square in the direction it is currently facing. This movement will only be performed if the space it would be heading into is of the same height as the square it is moving out from. In any other case the movement will not be performed.
When turning 90° to the right, the robot will stay in place and turn 90° (a quarter turn) to the right (clockwise).
When turning 90° to the left, the robot will stay in place and turn 90° (a quarter turn) to the left (anti-clockwise).
Jumping is a combination of a move forward and a change in height. The direction of the movement is in the direction that the robot is facing. An upward jump is only successful if the destination tile is higher by exactly one step than the starting tile. If the height difference is bigger than one, the jump is not successful and no movement is performed. When jumping down, there is no limit to the height the robot can jump down from. The only condition is that the difference in height is at least one.
The light instruction can be used to toggle light tiles on or off. If the robot is located on an unlit light tile when the light instruction is executed, the light tile will be toggled on. However, if the robot is located on an already lit light tile, that light tile will be toggled off. When the robot is located on a normal tile, nothing happens.
The repeat instruction is a special instruction that can be used to repeat some instructions a certain number of times. The repeat instruction has a special frame where you can drop instructions from the instruction list. It also has a counter where you can define the number of times the instructions within the repeat instruction will be repeated. It is even possible to place a repeat instruction within a repeat instruction, which is essential for creating very small programs.
Medals are rewarded for completing levels with only a very small amount of instructions. Sometimes, these small programs make the robot execute a lot of useless instructions, which is very inefficient and takes a lot of time. Please be aware that in computer science, the best program is not the one that contains the least amount of instructions but the one that has the robot execute the least amount of instructions.
Walk forward
Turn 90° to the right
Turn 90° to the left
Jump
Light
Repeat times
Congratulations! You have completed this level using instructions!


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def | Direction_Name |
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def | __init__ |
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def | name |
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def | set_name |
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def | clear_name |
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def | has_name |
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def | direction |
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def | set_direction |
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def | clear_direction |
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def | has_direction |
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def | MergeFrom |
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def | Equals |
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def | IsInitialized |
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def | ByteSize |
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def | ByteSizePartial |
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def | Clear |
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def | OutputUnchecked |
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def | OutputPartial |
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def | TryMerge |
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def | __str__ |
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| has_name_ |
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| name_ |
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| has_direction_ |
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| direction_ |
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int | ASCENDING = 1 |
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int | DESCENDING = 2 |
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tuple | Direction_Name = classmethod(Direction_Name) |
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int | has_name_ = 0 |
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string | name_ = "" |
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int | has_direction_ = 0 |
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int | direction_ = 1 |
| |
The documentation for this class was generated from the following file:
- code/googleappengine-read-only/python/google/appengine/datastore/entity_pb.py


Georgia’s Largest Animal Rescue and No-Kill Shelters.
Furkids, headquartered in Atlanta, GA, is a 501(c)(3) nonprofit charitable organization that operates the largest cage-free, no-kill shelter in the Southeast for rescued cats and Sadie’s Place, a no-kill shelter for dogs. Furkids also operates
one of the only facilities in the Southeast dedicated to the care of FIV positive cats. The Furkids mission is to rescue homeless animals, provide them with the best medical care and nurturing environment while working to find them a forever
home. Furkids heals the whole animal, physically and emotionally, restoring its health and its spirit.
Furkids has rescued and altered more than 25,000 animals since its founding in 2002. Approximately 1,000 animals are in the Furkids program today, in the Furkids shelters, 13 PetSmart and Petco adoption centers, and more than 400 foster homes
in the Atlanta area.
Furkids is the only animal rescue organization in metro Atlanta that allows children of all ages to volunteer. Furkids volunteer programs are designed to restore the health and spirits of injured and homeless animals while providing healing opportunities
for volunteers who are strengthened by the bond of love and care between humans and animals.
FurKids History
2002 – 2004: Founder Samantha Shelton finds a stray mother cat with kittens. Unable to find a shelter that will take them in, she establishes Furkids. We begin as a network of foster homes conducting adoptions
through the Petsmart Perimeter location. We rescue 216 animals in our first year. In our second year, we are invited to manage the PetSmart Smyrna location.
2005: Furkids signs the lease on our current main shelter and begins the buildout on the 5,000 square foot facility that will eventually house up to 275 cats on a daily basis. The shelter allows us to increase
the number of cats and kittens we can rescue and provides a colorful, cage-free, one-of-a-kind environment for our cats.
2006-2007: We celebrate the grand opening of our shelter and additional adoption centers are established with PetSmart Midtown and PetSmart Northlake, bringing our collaboration with PetSmart to four stores.
In 2007, Furkids celebrates five years, and Ms. Shelton, Founder and Executive Director, receives a commendation letter from Governor Sonny Perdue congratulating Furkids on our success and important service to the community.
2008: We celebrate our 5,000th adoption! We build an in-house spay/neuter surgical suite and hire a part-time veterinarian. We partner with our 5th PetSmart store at the Mall of Georgia, and we open our
FIV House, a stand-alone facility to exclusively house our FIV+ cats.
2009: We establish a benchmark of caring for 450 cats, as well as many dogs, on a daily basis. We begin a new partnership with PETCO, managing their in-store adoption programs at their Holcomb Bridge and
Edgewood locations. We establish Cat’s Meow Marketplace, now known as the Furkids Thrift Store, a store we own and operate to generate funds to care for the hundreds of animals in our care.
2010: We place approximately 620 cats into loving homes and celebrate our 6,000th adoption! We earn our 6th consecutive Best in America Seal of Excellence award, solidifying our rank as a top local community
charity by Independent Charities of America. In its November 2010 “Pets!” issue, Atlanta Magazine names us among the leading animal shelters in Georgia.
2011: We acquire and assume total responsibility for the management and operation of Small Dog Rescue and Humane Society, founded in 1995 and dedicated to finding loving families for homeless dogs in Georgia.
The union of the organizations greatly extends the reach of Furkids, expanding operations to include the rescue, no-kill care, and adoption of both homeless cats and dogs.
2012: Furkids celebrates our 10th anniversary! We add a tenth adoption center at the Buckhead Petsmart and we close the year adding two Petco adoption centers in Smyrna and Buckhead – for a total of 12
full-time adoption centers throughout Georgia!
2013: Furkids saved close to 1600 animals! Our largest number in a single year! We secured a major matching gift from the Choate family and Choate Construction Company to renovate our 34 year old building
that is our dog shelter!
2014: We increased the days our cat and dog shelters were opened to the public. We saved 2,400 animals and achieved 2,200 adoptions. We signed the lease on a second thrift store. We doubled the size of
our cat shelter to accommodate our FIV+ cats, a quadrupled surgery suite, work space for staff, a kitten pod room and a special room for Purrkids program cats.
2015: We launched a new logo and a new website, opened two additional thrift stores, and secured a gift to create a customized software program for animal management, We raised the funding to purchase additional
surgery equipment for our expanded surgery suite, increasing our capacity to serve more animals. We contracted with a veterinarian to perform high-volume, high-quality spay/neuter surgeries at our shelter. We were also honored during Petco
Foundation's 50th Anniversary National Adoption Weekend in October as having the highest number of adoptions in the country that single weekend.
2016: Furkids had the best adoption numbers it has ever seen in 2016. During Petco Foundation's 2-day National Adoption
Weekend in July, we found homes for 114 animals, helping with our July grand total of 344 animals. These figures made July 2016 Furkids' BEST MONTH EVER, until November 2016. We finished out the year with nearly 3200 total adoptions. On
Georgia Gives Day, Furkids raised over $100,000 for animals in need. We raised enough money to purchase dental x-ray equipment for our surgery room, and we were chosen as one of a handful of shelters to partner with the
Jackson Galaxy Foundation in their Cat Pawsitive program.
Goals for 2017: We're determined to make 2017 our BEST YEAR EVER. It even says so on our 2017 Calendar!
We hope to rescue more animals than ever before and find safe, loving forever homes for each of them.
Furkids’ Long-Term Goals: Our long range vision is to create a peaceful, unique destination, carved out of nature, where visitors can walk dogs along a nature trail, play with cats in their indoor/outdoor
home, enjoy tranquility in a memorial garden, and all of our animals can experience sunlight and fresh air. Our stand-alone shelter would also include a low-cost, high-quality spay/neuter clinic open to the public.


@(additionalApplicants: String,applicantMobile:String,applicantWorkPhone:String,ApplicantHomePhone:String,applicantBirthday:String,applicantInsurance:String,applicantRelationshipStatus:String,applicantDependant:String,applicantNonResident:String,applicantMovedCanada:String,coApplicantMobile:String,coApplicantWorkPhone:String,coApplicantHomePhone:String,coApplicantBirthday:String,coApplicantInsurance:String,coApplicantRelationshipStatus:String,coApplicantDependant:String,coApplicantNonResident:String,coApplicantMovedCanada:String)


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Visit Mentor TV for quality furniture at discount prices. Our store features a large selection of both "traditional" and "contemporary" Ashley Furniture, including flat panel TV Stands, TV consoles, home theater stands, entertainment centers and wall units. With over 50 years of innovation and experience in the furniture industry, Ashley has become the number one selling brand of home furniture in North America.
Please Note: Furniture is available for store pickup or local delivery only.
Mentor TV offers professional delivery and installation to customers in the Northeast Ohio area. We proudly service the Cleveland area including Beachwood, Bratenahl, Chagrin Falls, Chardon, Concord, Eastlake, Gates Mills, Kirtland, Mayfield, Orange, Painesville, Solon, Willoughby, and Woodmere, Ohio. We invite you to visit our showroom or simply give us a call at<PHONE_NUMBER>.


This page tracks the new paper links made to my list of I3D 2015 papers.
Page maintained by Ke-Sen Huang.
If you have additions or changes, send an e-mail.
March 15, 2015
- Position-based Fluid Control
February 25, 2015
- A Simple Method for Correcting Facet Orientations in Polygon Meshes Based on Ray Casting
(
)
(
)
- Frustum-Traced Raster Shadows: Revisiting Irregular Z-Buffers
()
(
)
February 17, 2015
- Fast, Memory-Efficient Construction of Voxelized Shadows
- Moment Shadow Mapping
February 6, 2015
- Moment Shadow Mapping
- Procedural Window Lighting Effects for Real-Time City Rendering
- Simualte and Render Millions of Grass Blades
- Compressed Coverage Masks for Path Rendering on Mobile GPUs
- Frustum-Traced Raster Shadows: Revisiting Irregular Z-Buffers
- Building Helper Bone Rigs from Examples
- Real-time Radiance Caching using Chrominance Compression
- Efficient GPU Screen-Space Ray Tracing
- Fast Distance Queries for Triangles, Lines, and Points using SSE Instructions
- A Simple Method for Correcting Facet Orientations in Polygon Meshes Based on Ray Casting
- BVH Split Strategies for Fast Distance Queries
January 10, 2015
- Aggregate G-Buffer Anti-Aliasing
- Interactive Continuous Collision Detection for Topology Changing Models Using Dynamic Clustering
- Frusted Traced Irregular Z-Buffers: Fast, Accurate Hard Shadows
- Building Helper Bone Rigs from Examples
- Dynamic Feature-Adaptive Subdivision
December 21, 2014
- Parallel Reyes-style Adaptive Subdivision with Bounded Memory Usage
- Page Created and Published
kesen.huang@gmail.com


Persistent Systems Q2 profit slips 2.3% to Rs 86 cr
In dollar terms, the company's revenue grew 6.2 percent to $125.51 million during the quarter from $118.23 million in the same period a year ago.
by PTITech firm Persistent Systems on November 4 reported a 2.3 percent decline in consolidated net profit at Rs 86.07 crore for the September 2019 quarter. The company had registered a profit of Rs 88.1 crore in the year-ago period, it said in a statement.
Revenue from operations, however, increased 5.9 percent to Rs 884.6 crore during the quarter under review as against Rs 835.5 crore in the year-ago period, it added.
In dollar terms, the company's revenue grew 6.2 percent to $125.51 million during the quarter from $118.23 million in the same period a year ago.
"Our focus is on creating organic growth across the board and releasing constraints in our business processes. This quarter's work included positioning our brand for customer recognition and success," CEO and Executive Director Christopher O'Connor said.
He added that the company is witnessing positive outcomes from this focus and intends to be even more agile in addressing its customers' needs and their business.
The company's headcount at the end of September 2019 quarter was at 10,543.Special Thursday Expiry on 10th 7th Nov
Early Closure to The Great Diwali Discount. Last Chance to get Moneycontrol PRO for a year @ Rs. 289/- only
Coupon code: DIWALI


| LEAVE APPLICATION FORM | ||
| The application must be submitted at least 7 days before the date on which Earned Leave is to commence except in the case of unforeseen circumstances. Sick Leave application must be submitted within 2 working days from rejoining. | ||
| Date | ||
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| Sick Leave (Attach medical certificate for more than 2 days) | ||
| Date applied for leave To No.of Days: | ||
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Do not forget to buy milk today.
My favorite color is blue red.
This is subscripted text. A3
This is superscripted text. A5


The answer: 1.
1
```js run let i = 3;
while (i) { alert( i– ); } ```
Every loop iteration decreases i by 1. The check while(i) stops the loop when i = 0.
i
while(i)
i = 0
Hence, the steps of the loop form the following sequence (“loop unrolled”):
let i = 3; alert(i--); // shows 3, decreases i to 2 alert(i--) // shows 2, decreases i to 1 alert(i--) // shows 1, decreases i to 0 // done, while(i) check stops the loop


Bypass a Path Based Access Control
The 'webgoat' user has access to all the files in the lesson_plans/English directory. Try to break the access control mechanism and access a resource that is not in the listed directory. After selecting a file to view, WebGoat will report if access to the file was granted. An interesting file to try and obtain might be a file like tomcat/conf/tomcat-users.xml. Remember that file paths will be different if using the WebGoat source.
Choose the file to view:


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @(params: Map[String, Any]) @uk.gov.hmrc.hmrcemailrenderer.templates.helpers.html.template_main(params, s"Classification advice request: ${params("reference")}") {
@params("contactName")
@params("contactEmail")
@params("itemName")
@params("itemDescription")
@document
}@params("supportingInformation")
}


User story:
Chris would like to upload photos from the camping trip he went on last weekend to his Flickr Photostream
Use case:
Title: Uploading Chris's photos to his Photostream
Scenario: Chris is a computer-savvy amateur photographer. He took some photos on a weekend camping trip that he'd like to share on Flickr.
Usage preconditions:
- User must have a Flickr account
- User must be logged in to Flickr account
- User must have photos to upload
Usage postconditions:
- Chris's photos are uploaded to his Photostream
- Chris's photos are tagged and can be discovered by other photographers
- Chris can receive feedback from fellow photographers
Interaction flow:
- Chris opens up his browser and enters "flickr.com" in his navbar
- Server processes the request, returns Flickr homepage
- Chris clicks on "log in" button, Chris is redirected to Yahoo login page
- Chris enters his email into the Sign In box, then enters passowrd
- Server redirects Chris back to Flickr homepage
- Chris clicks on upload button in header of page, is redirected to upload page
- Chris selects the photos he would like to upload from his files
- Chris changes the titles of and adds relevant tags to each photo
- Chris now clicks on the "Upload x Photos" button
- Server redirects Chris to his Photostream page where he can now view his newly uploaded photos
Frequency of use: Once every couple of weeks


@Html.Partial("_Sidebar")
@Html.Partial("_Home")
@Html.Partial("~/Views/Account/_Manage.cshtml")
@Html.Partial("~/Views/Project/addProject.cshtml")
@*
*@


Like Comment
Select your username: {select_user}
Select the comment you like: {select_comment}
Back to Home Page


New police boss declares emergency on Lagos traffic
by Odita SundayThe Commissioner of Lagos State Command, CP Hakeem Odumosu yesterday declared a state of emergency on traffic management and control in the state.
This is barely two days after he took over as the new police boss in Lagos State.
He also ordered the immediate deployment of an additional one thousand police officers for traffic duties. Odumosu took the decision during an emergency meeting he summoned at the Command Headquarters to review the current traffic situation in the state.
In attendance at the emergency meeting were Deputy Commissioners of Police, Department of Finance and Administration, Department of Operations, Criminal Investigation Department and Rapid Response Squad. Also in attendance were Area Commanders, Area Operations Officers, State Traffic Officer, Divisional Traffic Officers across the state and the Chairman Lagos State Taskforce on Environmental and Special offences, among others.
The CP also reviewed the time-for-duty report for Traffic Officers to take care of the peak hours. Traffic Duty Officers would run shifts between 10.am and 10.pm, while the second shift would be 10.pm to 10.am, providing 24-hours coverage.
They would all operate in their usual reflective jackets.
According to Odumosu, “The measure would help in ensuring the free flow of traffic and would also curb the menace of traffic robbery”.
He urged Lagosians to accord police officers on traffic duties maximum cooperation in the discharge of their statutory duties.
“All road users are enjoined to obey traffic laws”, he said.


Through storytelling and cultural myth understanding, we take our clients on a journey of discovery, leaving them equipped with world-class global marketing know-how and skills to develop real competitive advantage.
We help global businesses achieve sustainable difference by delivering insight into the cultural forces that affect their brands.
More about our approachIf you would like to embark on an exciting journey of discovery for you and your brand, please contact us:


Investigation of Stability of Fully Dynamic k-Center Clustering Algorithm
Li Yang / Zuo Lei
Information
Progress
Documentation
Links


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If I had a euro for every time someone had asked me or someone else working on nova for the ability to schedule an instance to a specific host NUMA node, I might never have to leave the pub (back in halcyon days pre-COVID-19 when pubs were still a thing, that is).
Below is an edited version of a response one of my friends and colleagues, Sean Mooney, provided to a Red Hat partner asking just this question recently. This information is accurate as of the OpenStack 21.0.0 (Ussuri) release but is subject to change in future releases.
What’s wrong with choosing a host NUMA node?
In almost all cases when we discuss the motivation for this request with people, we discover that selecting host CPUs or NUMA nodes via the flavor is not actually what they wanted to do. Rather, it is seen as a means to an end recommended by people familiar with virtualisation technologies but not with cloud platforms. There are a number of reasons this is not considered an acceptable solution in a cloud context. To summarize:
-
It is seen as a potential security concern for public clouds.
To correctly understand which flavor to use when flavors can map to host resources like CPUs or NUMA nodes would require knowledge of the underlying hardware. This information can be used by a malicious user as a DDOS vector as they could intentionally place their instance on the same NUMA node (opening the opportunity to exhaust memory bandwidth of a NUMA node) and host as their victim. It also exposes information about what hardware a cloud is running indirectly that many clouds would prefer not to share.
-
It is a violation of the cloud abstraction.
OpenStack is a cloud platform intended to provide a consistent API across multiple backend implementations of services. In fact, cloud abstraction is a key element of the nova project scope. Virtual NUMA topologies are supported by two main drivers today, Libvirt and HyperV, and while the Libvirt driver and Libvirt in general are much more flexible than other virt drivers in many aspects, nova does strive to keep the differences to a minimum. If we were to encode the semantics of how virtual resources map to physical resources, we would exclude the possibility of achieving interoperability between different drivers or different clouds as well as create barriers to adopting features across multiple drivers.
-
It makes our clouds much smaller and less useful.
Encoding host specific resource assignment information severely limits the available hosts that can be used to create an instance. It complicates move operations and makes the maintainability and extensibility of the scheduler harder over time. The operational overhead of having to create different flavors for a VM that runs on node 5 vs node 6 and the additional cognitive load that this puts on the end user is a failure in API design. Instead of expressing an abstract policy, the end user and operator needs to understand the intricate mechanics of how the workload compute context is created.
There are additional reasons to those listed above, but these alone should serve to illustrate that this is not oversight in how nova currently functions but rather a very deliberate design choice that we do not want to remove.
But we really need this, so why can’t you special case it for us?
If you were willing to ignore all of the above, and the many other reasons for not doing this, you might tempted to think that you could maybe hack this in anyway. After all, extra specs have long been one of the untamed corners of nova (at least, they were until Ussuri). Not so fast. Long-term, it’s unlikely that this will even be an option for reasons to do with how we’ve handled scheduling in nova in the past and how we’re planning to evolve it in the future.
As you may or may not be aware, there has been a multi-year effort to evolve the tracking of resources in OpenStack. This effort predates the creation of the placement service but was the primary reason for its existence. Nova has a multi-layer scheduling approach, the first step of which is delegated to the placement service, followed by filtering and then weighing. Following scheduling (that is, the act of selecting a host) there is then a resource assignment phase that is performed by the virt driver.
While the scheduling and resource assignment steps are heavily linked, they are independent operations. To put this in concrete terms, while the NUMA topology filter has input into selecting a host, by determining whether a given NUMA topology can be created on a given host, it has no input into selecting which NUMA nodes on the host will be used for the VM. That decision is made entirely by the virt driver during the assignment phase. The three phases of nova scheduling today are summarised as follows:
-
The placement service is queried for a set of allocation candidates (potential hosts your instance can be scheduled to) that represent resource allocation on hosts that can fulfil the quantitative and qualitative requirement of the resources requested for an instance.
-
The hosts represented by those allocation candidates are filtered based primarily on non-resource related attributes such as server group affinity or anti-affinity constraints and resources and topologies that are not yet modeled in placement, such as PCI devices and hugepages and various NUMA affinity metrics.
-
The filtered hosts are weighed to select an optimal host.
Up until now, placement, which has a global hierarchical view of resources from
multiple services, has largely operated on the basis of tracking a simple tally
count of resources on a given host. When it was originally created, placement
modeled each compute host as a single resource provider containing multiple
inventories of different resources classes. Each resource provider can only
have one instance of an inventory per resource class, so when memory is
represented as MEMORY_MB
it tracks the total available system memory on the
host. Placement also tracks allocation from resource providers to instances so
it can know how much of each resource is still available. It can then use this
capacity information in addition to some qualitative traits (e.g. this host
has SSD storage while this host does not) to produce a set of potential
allocation candidates.
As we have evolved from this simple view, we have extended the placement API to support nested resource providers, allowing us to convert a flat view of a host’s resources into a tree data structure. There were many reasons for this effort, but the chief motivator was that it allows us to begin modelling of NUMA topologies in placement. This will allow us to track hugepages as inventory in placement as well as consider NUMA affinity for things like vGPUs (note: we also plan to model generic PCI devices in placement, though this effort will likely not begin until the NUMA-in-placement effort is complete). There are two implications of this work that would prevent a “boot on NUMA node N” feature in the future.
Firstly, doing this work will allow us to remove the NUMA topology filter in the future, increasing scheduler performance among other things but you do not get this performance for free. In the case of placement, the trade-off is in the freedom to select resources on the host during the assignment phase. In order to maintain placement as the single source or truth with regard to capacity and availability of resources, it is vitally important that, when a resource class on a host exists on multiple separate providers, the virt driver will only allocate resources from the hardware corresponding to the resource provider chosen during scheduling. For example, memory tracked per NUMA node or vGPUs tracked per physical GPU must be assigned from the NUMA node or pGPU that the allocation is made against in placement. This means that in a world where all resources are tracked in placement, the assignment done by a virt driver is constrained to only looking at a subset of hardware that correlates with the placement allocation and it will no longer be possible to, for example, ensure that a given instance is pinned to CPUs from a specific NUMA node.
Secondly, it’s important to realize that the resource topology reported to
placement will be determined by the virt driver that reports them. For
example, ironic hosts are represented using a single custom resource class
rather than reporting VCPU
, MEMORY_MB
and DISK_GB
inventories in
order to model their consumption as a single unit. This means that at the time
of making the placement query, since we have not yet selected a host we also
have not selected a compute context (hypervisor, baremetal/composable server or
container runtime) and as such cannot make assumptions about how the virt
driver that manages that host will model its resource in placement. Nova
supports using multiple compute contexts concurrently and it’s not uncommon for
operators to use image-based filters to map Windows images to HyperV hosts and
Linux images to VMWare or Libvirt hosts. Similarly, in a multi-architecture
cloud, they may offer PowerVM hosts. Since each of these compute contexts may
support assigning host resources to instances in different ways we cannot make
it an API requirement to pin the instance to NUMA node N based on a flavor
extra spec.
Taken together, the continued effort to move tracking of all resource to placement means any effort to map a given instance to a specific host NUMA node is dead on arrival. We can achieve what’s necessary, but it can and should be done in a better way.


@*
* Copyright 2023 HM Revenue & Customs
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*@
@import models.ReportStatus
@(report: ReportStatus)(implicit messages: Messages)
@report.status match {
case Some(Failed.value) => {
(@Messages(s"report.status.failed"))
}
case Some(Pending.value) if(report.createdAtZoned.compareTo(java.time.ZonedDateTime.now.minusHours(3)) < 0) => {
(@Messages(s"report.status.failed"))
}
case _ => {}
}


"impl.GreetingClientImpl" should appear in the diagram.
We'll next begin defining methods.
Right click on the Greeting and select New - Method.
Enter greet as the name and to select String as the Return type, select the pull-down button.
Confirm that "String" is selected as the "Return type". Select the OK.
"greet()" should appear under the "Greeting".
In a similar manner, we'll add method "execute" to the "GreetingClient" interface.
Right click on the "GreetingClient" interface and select Newe - Method from the context menu.
Enter execute as the "Name" and select void as the "Return type". Select the OK button.
"execute()" should appear under the "GreetingClient".
Note that there will be some error messages because implementations of the interfaces do not definitions of methods we just defined. We will correct these errors next.
I personally prefer to define all interfaces and classes before defining methods and attributes, but if we defined methods of interfaces before creating classes, methods defined in an interfaces will automatically be added to the class when it is defined.
Right click on the impl.GreetingImpl class and select on New - Method in the context menu.
Enter greet as the "Name" and select String as the "Return type". These have to match what we defined in the "Greeting" interface.
Select the OK button.
In a similar manner, defined method "execute" for the "impl.GreetingClientImpl" class.
Right click on impl.GreetingClientImpl and select New - Method in the context menu.
Enter execute in the "Name" and select void as the "Return type". Select the OK button.
We'll next define attribute "greeting" which will hold the greeting string to output.
Right click again on impl.GreetingClientImpl and select New - Attribute in the context menu.
Enter greeting as the "Name". Verify that Use accessors is checked. Select the Browse... to select the "Type".
Select Greeting - examples1 from the list. If it is not in the list, enter Greeting in the "Select the type of this attribute" and select it when the list appears.
Select the OK button.
Confirm that "Type" is "examples1.Greeting" and select the OK button.
"greeting: Greeting" should now appear.
We'll now begin adding codes to the classes.
Double click on the "impl.GreetingImpl" class.
Make sure "GreetingImpl.java" tab is selected. Generated codes for the "impl.GretingImpl" class should show. Move down to the "public String greet()" method and enter return "UML Hello World1"; as below. Save the change by selecting the save icon in the Eclipse icon menu.
We'll next add code to the "execute()" method.
Double click on the "impl.GreetingClientImpl" box. Find the "public void execute()" method. Enter System.out.println(greeting.greet());.
We'll now create the final class - the class that contains "main()".
Select the and drag the mouse to create a rectangle.


Now
we are done with the first version of our language and we are now able
to create a model with these building blocks. Of course it can be seen
that our language is rough-and-ready as we do not even have a container
object which would represent our model object (so we have to define our
processing units directly under the ROOT object) and we know that it
would be good if we would be able to have different kind of processing
units, like the ones that do the actual yet simple signal manipulating
tasks and the more complex ones which can have many simple processing
unit as a part and can implement difficult functionalities. So in the
next tutorial we will do some fine-graining on our language and we will
define some attributes as well.
If you lost somewhere but feel that you learned all there is in this
lesson and you want to continue you should probably need the result of
this lesson which can be downloaded from
here.
If you do not
knwo how to create a project from a file, the lesson ona-and-a-half is
for you!
Lesson one-and-a-half
- create project from file
As in the later lessons you have the possibility to start your work
from our results it would be wise to learn how to create a project from
an exported project file. It is very similar to empty project creation
so first you click on the
button and in the project dialog you press the 'Create from file...'
button. Then you type your project's name and press the 'Import
file...' button. Here another dialog shows where you can use a simple
file selecting dialog by clicking the 'Choose file' button or you can
simply drag and drop your file onto the area below the button. If your
file doesn't have the proper format then this dialog will tell you,
otherwise you can simply create your project by pressing the
'Import..." button.
So now let's head back to our modeling studies!
Lesson two
- refining our language
In this tutorial we will show how to fine-grain our riugh-and-ready
language by defining attributes, subclasses. We also show how to create
abstract objects.
As we already mentined in the end of our previous lesson it would be
wise if we could differentiate our processing units for the ones which
do 'simple' tasks and the ones that compose the simple ones to achieve
a more complex manipulation on the signals. In our language we call the
simple processing unit a 'Primitive' and the other a 'Compound' which
prety much covers that it is built by Primitives to represent a more
complex function. As both of the new elements represent the processing
we have to inherit them from our existing Processing object. Now we
will instantiate the new objects in a different way (not by dragging
from the parts panel). First we switch again to Composition mode and
select our Language folder. Then we drag the Processing object from the
object browser onto the main panel. When we drop the object a context
menu appears on the screen asking what operation we would like to do
with the object (for example: copy, move or instantiate). Let's choose
the
line and create an
instance under the Language folder and rename it to 'Primitive'. When
you are done you can repeat the same method to create the 'Compund'
object.
Now we have to extend our language to have its new rules according the
new objects. So let's change back to META mode and drop the two new
element onto the 'Signal Flow' sheet. Notice that the inheritance
relation among Processing and the new objects becomes visible right
away. As the Compound represents a unit which can contain other
processing units (and Flows among them) we have to insert these two new
containment relations. So once again draw a containment line from
Processing to Compound and one from Flow to Compound. And we are done!
notice that although Primitives can have ports and Compounds can have
ports we do not have to explicitly define these relations as they are
inherited from Processing! So our language looks something like this at
the moment:
Now as we said the
Primitives are the simple units which do a well defined task. To
describe this task we should create some property of our Primitive
objects. It would be not just a simple property but an attribute of the
type. To create an attribute you simply have to click on the '+' sign
before the 'ATTRIBUTES' label in the area of the given object which
will bring up an in-place text editor where you can give the name of
your new attribute (in our example we call it 'Function'). When your
are done and press the ENTER the attribute dialog
will pop up:
As you can see you are
able to give the type and the default value of your attribute. If your
attribute is an enumeration you should define its possible
values as well (by checking the box before Enumeration a separate
textbox appears where you should give every possible value in a
separate line). For our example the Function attribute would be a
string and it doesn't have a default value. If your are done with the
attribute editing you can press the 'Save' button. Now you have been
taken back to the META mode and your Primitive object now lists the
attribute Function in its attribute section. If for some reason you
want to edit your existing attribute or delete it, you can do that by
simply double-clicking on the attribute label which will bring up the
attribute dialog where you have the extra 'Delete' button.
In our current language we do not have the possibility to differentiate
the ports whether they receive signals or send them. To allow that, we
have to have some definition for Inputs and Outputs. As in the previous
step the Input and Output objects will also be instances of an already
created object, but they extend the Port definition. So using
either of our already discussed instantiation method let's create two
new instances of Port under the Language folder with names Input and
Output. Now to finish our job here we should add these objects to our
language by dragging them onto the Signal Flow sheet under META mode.
Of course because of the inheritance there is not much rule we should
add as the processing units can already have Input and Output because
of their common ancestor. What we on the other hand wan't to avoid is
that we do not want anyone to create just Ports anymore. To achieve
this goal we have to make the Port a so called 'Abstract Class'. To do
this we can select the Port object and then in the property window set
the 'isAbstract' value to 'YES'. When we do this the name of the object
becomes gray which tells us that the object is abstract. Once again
because of the inheritance the Input and Output also became abstract so
let's select them and switch of their isabstract value. You can also
notice that once you have an abstract object it would never appear on
the Parts panel as it cannot be instantiated.
Speaking of abstracts it would be wise to have the Processing also as
abstract as now the definitions of Primitive and Compound are usable on
the other hand we cannot really say the same from the Processing
(because it pretty much covers the same funcionality as the Primitive,
but it lacks the attibute Function). So let's do the previous
isAbstract setting with the Processing as well (and with the Primitive
and Compound!).
To create our first model we go into Composition mode and open the
ROOT. Here we create an instance of a compound as any signal flow model
can be represented as a big Compound. Let's rename to 'First Example'.
If we now navigate into this new object by double-clicking on its main
area you can see that our Parts panel have only the Primitive,
Compound, Input and Output as possible building blocks inside a
Compound. On the other hand we cannot see Flow because we create
connections by actually connecting items (as in case of relations in
the META mode). So if we put an Input and an Output under the First
Example we will be able to connect them. Do not forget that the
direction of drawing is important as we always draw from the source to
the destination. Now let's create one Primitive under the First Example
and let's create one Input and Output to it. We can create those prots
by navigating into the Primitive and instantiate the Input and Output
there. Now we want to connect the already created Input of our First
Example to the Input of the new Primitive. Let's navigate to the First
Example. We would expect that we are able to draw a line between the
Input and the Input of the Primitive, but that is not the case. What is
missing is that now the Ports of the Primitive cannot be seen. To make
them really visible as ports of their parent we have to set their
isPort property to true. To allow all port to behave like this we
should do this change on the Port object under our Language folder as
then the inhertiance will take care of the rest. So let's navigate to
our Language folder, select the Port object and in the
property editor switch the isPort to 'YES'. Now if we
navigate back to First Example we should see the Input and Output of
the Primitive:
Now we will be able to
connect the Input to the Input of the Primitive and its Output to the
Output of the First Example. Before we would do this let's create a
copy of our primitive! To copy an object you can simply use the drag
and drop method from the Object Browser and select the
line in the context menu.
But for now we would like to use a different approach which is the
following: you can copy an object if you push the CTRL
button down and drag the object. While you drag the
same
icon and the 'Copy...'
label appears in the ghost box to make you sure that you will create a
copy of your original object. Once we copied the object we copy also
its children so now we will have two Primitives with Input and Ouput
ports. To make our first example complete let's connect the Input of
First Example to the Input of a Primitive then connect its
Output to the Input of the other Primitive, finally connect that
Primitive's Output to the Output of the First Example.Let's also delete
the Flow between the First Example's Input and Output. To do this just
simply select the Flow line, and in its selection box's upper right
corner press the
icon. So now we have our very first model in our Signal Flow language:
Although we can see that
our model is functionally somehow correct we cannot say that it is
visually appealing. So in our next lesson we will address that problem
and try to enhance our model and language definitions to allow visually
appealing model creation! Again if you are lost somewhere our think you
already familiar with things so far you can get our
here.


This sample shows how to implement a SortablePanel. You have three panels, each of which contains 2 portlets. Use drag and drop to move a portlet from one panel to another or to change the order of portlets inside a panel.


To improve performance, your application can enable internal GNSDK storage and caching. The GNSDK has two kinds of storage, each managed through a different class:
GnStoreOps
methods to manage these. Local lookup databases—Gracenote Global Support & Services (GSS) generates these databases, which differ based on region, configuration, and other factors, and ships them to customers as read-only files. These support TUI, TOCTable of Contents. An area on CDs, DVDs, and Blu-ray discs that describes the unique track layout of the disc. and text lookup for music searches. The GnLookupLocal
class can be used to manage these databases.
To enable and manage GNSDK storage:
Allocate a GnManager
object for online stores (optional)
Allocate a GnLookupLocal
object for local lookup databases (optional)
Set a folder location(s) for GNSDK storage (required)
Manage storage through GnManager
and GnLookupLocal
methods
Before GNSDK storage can take place, you need to enable a storage provider. Right now, that means using the GNSDK SQLite module. Note that this is for GNSDK use only—your application cannot use this database for its own storage.
* For information on using SQLite, see http://sqlite.org.
* Note that enabling SQLite prevents linking to an external SQLite library for your own use.
In the future, other database modules will be made available, but currently, the only option is SQLite.
To enable local storage, you need to call the GnStorageSqlite
's Enable
method which returns a GnStorageSqlite
object.
C++
/* Enable StorageSQLite module to use as our database engine */ GnStorageSqlite& storageSqlite = GnStorageSqlite::Enable();
Java
GnStorageSqlite gnStorageSqlite = GnStorageSqlite.enable();
Objective-C
self.gnStorageSqlite = [GnStorageSqlite enable: &error];
App.gnStorageSqlite_ = GnStorageSqlite.Enable;
Once enabled, the GNSDK manages these stores:
You can get an object to manage these stores with the following GnManager
methods:
GnStoreOps& QueryCacheStore
—Get an object for managing the query cache store.GnStoreOps& LocalesStore
—Get an object for managing the locales/lists store.GnStoreOps& ContentStore
—Get an object for managing the content store.
Once enabled, the GNSDK manages these databases as the following GnLookupLocal::GnLocalStorageName
enums indicate:
You have the option to set a folder location for all GNSDK storage or locations for specific stores and databases. You might, for example, want to set your stores to different locations to improve performance and/or tailor your application to specific hardware. For example you might want your locale list store in flash memory and your image store on disk.
If no locations for storage are set, the GNSDK, by default, uses the current directory. To set a location for all GNSDK storage, use the GnStorageSqlite
StorageLocation
method.
Use the GnStoreOps
' Location
method or the GnLookupLocal
's StorageLocation
method to set specific store or database locations. StorageLocation
takes a database enum and a path location string. To set a store location, you would need to allocate a GnStoreOps
object for a specific cache using GnManager
methods and call its Location
method.
Examples of setting a location for all stores and databases using SQLite
Java
gnStorageSqlite.storageLocation(getExternalFilesDir(null).getAbsolutePath());
Objective-C
[self.gnStorageSqlite storageLocationWithFolderPath:[GnAppDelegate applicationDocumentsDirectory] error: &error];
Windows Phone C#
App.gnStorageSqlite_.StorageLocation(Windows.Storage.ApplicationData.Current.LocalFolder.Path);
For Windows CE, an absolute path must be used in setting storage folder location
You can retrieve manifest information about your local databases, including database versions, available image sizes, and available locale configurations. Your application can use this information to request data more efficiently. For example, to avoid making queries for unsupported locales, you can retrieve the valid locale configurations contained in your local lists cache.
GNSDK provides album cover art, and artist and genre images in different sizes. You can use the kImageSize
key with the GnLookupLocal
's StorageInfo
method to retrieve available image sizes. This allows you to request images in available sizes only, rather than spending cycles requesting image sizes that are not available.
Use the GnLookupLocal
's StorageInfoCount
method to provide ordinals to the StorageInfo
method to get the image sizes.
To retrieve the version number for a local database, use the kGDBVersion
key with the StorageInfo
method. Use an ordinal of 1 to get the database version.
C++
gnsdk_cstr_t gdb_version = gnLookupLocal.StorageInfo(kMetadata, kGDBVersion, ordinal);
Use the GnLocale
's LocalesAvailable
method to get valid locale configurations available in your local lists store. Locale configurations are combinations of values that you can use to set the locale for your application. This method returns values for group, region, language and descriptor. Returns a count of the values available for a particular local database and local storage key.
You can use the GnUser
's CacheExpiration
method to set the maximum duration for which an item in the GNSDK query cache is valid. The duration is set in seconds and must exceed one day ( > 86400). Setting this option to a zero value (0) causes the cache to start deleting records upon cache hit, and not write new or updated records to the cache; in short, the cache effectively flushes
itself. The cache will start caching records again once this option is set to a value greater than
0. Setting this option to a value less than 0 (for example: -1) causes the cache to use default
expiration values.
You can use the following GnStorageSqlite
methods to manage online cache size on disk and in memory:
MaximumSizeForCacheFileSet
—Sets the maximum size the GNSDK cache can grow to in kilobytes; for example "100" for 100 Kb or "1024" for 1 MB. This limit applies to each cache that is created. If the cache files' current size already exceeds the maximum when this option is set, then the passed maximum is not applied. When the maximum size is reached, new cache entries are not written to the database. Additionally, a maintenance thread is run that attempts to clean up expired records from the
database and create space for new records. If this option is not set the cache files default to having no maximum size.
MaximumMemorySizeForCacheSet
— Sets the maximum amount of memory SQLite can use to buffer cache data.
The value passed for this option is the maximum number of Kilobytes of memory that can be used. For example, "100" sets the maximum to 100 KB, and "1024" sets the maximum to 1 MB.


The biggest collection of artists and genres.
You won't have to drive to the record store.
New Previous and Next buttons for songs.
Imagine a world without power cables!


AOMEI Technology is an up-and-coming provider of innovative hard disk partition management, reliable backup & restore solution, and easy cloud storages management for home and business users all over the world. We have started to research in the field since 2009 and enjoyed great prestige. Our mission is to optimize system and optimize life by developing easy-to-use and reliable software continuously and turn the world's top technologies into cost-effective solutions to let users benefit from it.
We provide high quality software services to customers all around the globe, like USA, UK, Italy, France, Germany, Singapore, Israel, Australia, New Zealand, Brazil, India, etc. We have a big team of professional technicians on file systems, backup restore and partition management who do research and development continuously to provide excellent software for our customers including enterprises, colleges, government sectors, institutions, IT agent, personal users, commercial users, etc.
AOMEI, known for its ease of use, has been one of the best brands in disk & partition management and backup & recovery fields. We are enthusiastic in our daily work for providing the best software for clients and we believe we can work miracles.
AOMEI aims to provide the easiest yet reliable backup service to let customers say NO to data loss. We're picky about every detail just to ensure our customers have the best backup service on the planet.
To let hundreds of millions of users benefit from AOMEI Products, and make AOMEI a pioneer in the field of Partition and backup.
It’s a backup and restore software, supports system backup and files backup, disk imaging and disk cloning, system migration, etc.
Learn moreIt’s a disk partition management software, supports resizing partition, creating partition, merging partitions, recovering partition, etc.
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Learn moreTo learn details about other AOMEI products, please click here.


Handlebars4Code
Repository Migration to GitLab: 15.07.2020
Internal discussions in the team about the OpenSource Concepts led to the decision to migrate this Handlebars4Code repository to GitLab.
The new tool has updated features is able to create a source from a given JSON. The JSON template engine extends the Handlebars Library with Compiler for the browser as runtime environment. You can use the library handlebars4code.js as an AppLSAC - see Wikiversity Learning Resource.)
Old Repository on GitHub


2 Generate Pseudo Data
In the final section of this presentation we will walk through a proposal that
pretty much all trial data can and should be turned into portable pseudo data
that is shared freely without restrictions. We has originally planned to show
two versions of this: one using {synthpop}
and the other using {mvProbit}
.
After reviewing the synthpop documentation more closely however it looks like
you can actually just save the model objects which means you can interact with
them using local data. This is much faster/more general than the multivariate
probit approach so we won’t move that work forward any further. Note that this
repository also includes the code necessary to do a bayesian version of the
multivariate probit model which is primarily of interest if you’d like to do
something like specify treatment effects across binomial outcomes as
shared/exchangeable.
2.1 Generate data from synthpop
We will use vanilla default settings for synthpop since the data here is simulated
but in real applications there is a lot more fine tuning available. We can get
a nice simple default output compare synthetic to original data using the compare
function.
data("ex_dat")
dat <- as.data.frame(ex_dat) %>% dplyr::select(trt, mort, sev_ivh, sepsis, cld, nec)
set.seed(124)
synth_dat <- xfun::cache_rds({
syn(dat, minnumlevels = 5, m = 10, models = FALSE, method = "parametric")
}, dir = cache, file = "synth_dat.rds")
compare(synth_dat, data = dat)
##
## Comparing percentages observed with synthetic
##
## $trt
## 0 1
## observed 50.00000 50.00000
## synthetic 50.13333 49.86667
##
## $mort
## 0 1
## observed 84.88889 15.11111
## synthetic 85.05185 14.94815
##
## $sev_ivh
## 0 1
## observed 91.55556 8.444444
## synthetic 91.54074 8.459259
##
## $sepsis
## 0 1
## observed 78.29630 21.70370
## synthetic 77.97778 22.02222
## Press return for next plot: $cld
## 0 1
## observed 60.29630 39.70370
## synthetic 59.91111 40.08889
##
## $nec
## 0 1
## observed 95.70370 4.296296
## synthetic 95.22222 4.777778
We can also take a quick look at correlations for a pooled version of the synthetic datasets vs the observed data.
## mort sev_ivh sepsis cld nec
## mort 1.0000000 0.10174852 0.11359478 -0.11996149 0.11452450
## sev_ivh 0.1017485 1.00000000 0.08190459 -0.02053963 0.02425813
## sepsis 0.1135948 0.08190459 1.00000000 0.10765597 0.01337243
## cld -0.1199615 -0.02053963 0.10765597 1.00000000 0.05132358
## nec 0.1145245 0.02425813 0.01337243 0.05132358 1.00000000
## mort sev_ivh sepsis cld nec
## mort 1.0000000 0.11732436 0.11401142 -0.12256408 0.11459764
## sev_ivh 0.1173244 1.00000000 0.10506595 -0.03409620 0.01448092
## sepsis 0.1140114 0.10506595 1.00000000 0.09426759 0.01251141
## cld -0.1225641 -0.03409620 0.09426759 1.00000000 0.05205256
## nec 0.1145976 0.01448092 0.01251141 0.05205256 1.00000000
For the rest of the presentation we will just use on example dataset. For the comparison at the end we will create a composite with sev_ivh + cld
pres_dat_syn <- synth_dat$syn[[10]] %>%
mutate_all(~ as.numeric(as.character(.))) %>%
mutate(cld_ivh = ifelse(sev_ivh == 1 & cld == 1, 1, 0),
cld_no_ivh = ifelse(cld == 1 & sev_ivh == 0, 1, 0),
ivh_no_cld = ifelse(cld == 0 & sev_ivh == 1, 1, 0))
pres_dat <- dat %>%
mutate(cld_ivh = ifelse(sev_ivh == 1 & cld == 1, 1, 0),
cld_no_ivh = ifelse(cld == 1 & sev_ivh == 0, 1, 0),
ivh_no_cld = ifelse(cld == 0 & sev_ivh == 1, 1, 0))
colMeans(pres_dat)
## trt mort sev_ivh sepsis cld nec cld_ivh cld_no_ivh ivh_no_cld
## 0.50000000 0.15111111 0.08444444 0.21703704 0.39703704 0.04296296 0.02888889 0.36814815 0.05555556
## trt mort sev_ivh sepsis cld nec cld_ivh cld_no_ivh ivh_no_cld
## 0.51703704 0.15111111 0.08592593 0.21333333 0.38592593 0.04962963 0.03629630 0.34962963 0.04962963
Overall just taking even a single dataset we’ve done pretty good at replicating the original data.


--- layout: default ---
I’m a designer/developer hybrid living in Tel Aviv San
Francisco. I extract meaning from data at
Heroku.
I’ve been a core developer and lead designer for the Django web framework since 2011. I’m also a committer on Requests, and I’m active in various FOSS communities as both a developer and a designer.
I often speak at conferences about subjects at the intersection of engineering and design. I delivered a keynote address at Djangocon US 2011 about designers and open source projects. There’s a list of my talks further down this page.
I designed the visual identities for various years of PyCon and DjangoCon. I'm proud to have helped organize these conferences and many local meetups, as well as mentoring startups as part of Google Campus TLV.
Since 2014, I have been at Heroku, as the founding/lead engineer of the Data UX team. In that role, I was responsible for building data.heroku.com — the human interface to Heroku’s data products — from its first line of code. Owing to a lack of dedicated product and engineering managers, I often found myself wearing those hats for our team.
In 2013, I built Pushpin, an analytics service for location data. I also taught interaction design at the Shenkar School of Engineering and Design here in Tel Aviv.
In 2011–2012, I invested all my energy in Skills, which was a tool for modern software companies looking to understand their candidates in ways that resumes weren’t designed to do. It visualized candidate activity to provide a useful, humanizing snapshot of developers. It didn’t work out, but I’m still keen on getting back to it when the right moment presents itself.
I’ve collected a few of my favorite works and designs. Check out my CV if you’re curious about more things that I’ve done. Also, here’s more about me and my other online activities.
at HTML5Fest 2012. Lecture in Hebrew, slides in English.
at Open Source in the Holy Land
at UX Israel Meetup
at Pycon US 2012
at Pycon US 2012
at HTML5Fest 2011. Lecture in Hebrew, slides in English.
at DjangoCon US 2011.
at DjangoCon Europe 2011.
at PyWeb-IL 27.
at DjangoCon Europe 2010.


About Us
On June 6th, 2016, Vecta Corp. moved into its new 4 story, 35,000 square foot facilty. Below are a few pictures of the new facility.
On June 6th, 2016, Vecta Corp. moved into its new 4 story, 35,000 square foot facilty. Below are a few pictures of the new facility.


js-stellar-sdk
js-stellar-sdk is a Javascript library for communicating with a Stellar Horizon server. It is used for building Stellar apps either on Node.js or in the browser.
It provides:
- a networking layer API for Horizon endpoints.
- facilities for building and signing transactions, for communicating with a Stellar Horizon instance, and for submitting transactions or querying network history.
Warning! Node version of
stellar-base
(stellar-sdk
dependency) package is usinged25519
package, a native implementation of Ed25519 in Node.js, as an optional dependency. This means that if for any reason installation of this package fails,stellar-base
(andstellar-sdk
) will fallback to the much slower implementation contained intweetnacl
.If you are using
stellar-sdk
/stellar-base
in a browser you can ignore this. However, for production backend deployments you should definitely be usinged25519
. Ifed25519
is successfully installed and workingStellarSdk.FastSigning
variable will be equaltrue
. Otherwise it will befalse
.
js-stellar-sdk vs js-stellar-base
js-stellar-sdk is a high-level library that serves as client side API for Horizon. This library makes extensive use of the lower-level js-stellar-base and exposes js-stellar-base classes via its export object. js-stellar-base can be used as a standalone library for creating Stellar primitive constructs via XDR helpers and wrappers. js-stellar-base doesn't depend on connecting to Horizon.
js-stellar-sdk exposes all js-stellar-base classes so you don't have to install js-stellar-base along js-stellar-sdk.
Quick start
Using npm to include js-stellar-sdk in your own project:
npm install --save stellar-sdk
For browsers, use Bower to install js-stellar-sdk. It exports a
variable StellarSdk
. The example below assumes you have stellar-sdk.js
relative to your html file.
<script src="stellar-sdk.js"></script>
<script>console.log(StellarSdk);</script>
Install
To use as a module in a Node.js project
- Install it using npm:
npm install --save stellar-sdk
- require/import it in your JavaScript:
var StellarSdk = require('stellar-sdk');
Help! I'm having trouble installing the SDK on Windows
Unfortunately, the Stellar platform development team mostly works on OS X and Linux, and so sometimes bugs creep through that are specific to windows. When installing stellar-sdk on windows, you might see an error that looks similar to the following:
error MSB8020: The build tools for v120 (Platform Toolset = 'v120 ') cannot be found. To build using the v120 build tools, please install v120 build tools. Alternatively, you may upgrade to the current Visual Studio tools by selecting the Project menu or right-click the solution, and then selecting "Retarget solution"
To resolve this issue, you should upgrade your version of nodejs, node-gyp and then re-attempt to install the offending package using npm install -g --msvs_version=2015 ed25519
. Afterwards, retry installing stellar-sdk as normal.
If you encounter the error: "failed to find C:\OpenSSL-Win64", You need to install OpenSSL. More information about this issue can be found here.
In the event the above does not work, please join us on our community slack to get help resolving your issue.
To self host for use in the browser
- Install it using bower:
bower install stellar-sdk
- Include it in the browser:
<script src="./bower_components/stellar-sdk/stellar-sdk.js"></script>
<script>console.log(StellarSdk);</script>
If you don't want to use install Bower, you can copy built JS files from the bower-js-stellar-sdk repo.
cdnjs hosted script in the browser
To use the- Instruct the browser to fetch the library from cdnjs, a 3rd party service that hosts js libraries:
<script src="https://cdnjs.cloudflare.com/ajax/libs/stellar-sdk/{version}/stellar-sdk.js"></script>
<script>console.log(StellarSdk);</script>
Note that this method relies using a third party to host the JS library. This may not be entirely secure.
Make sure that you are using the latest version number. They can be found on the releases page in Github.
To develop and test js-stellar-sdk itself
- Clone the repo:
git clone https://github.com/stellar/js-stellar-sdk.git
- Install dependencies inside js-stellar-sdk folder:
cd js-stellar-sdk
npm install
Usage
For information on how to use js-stellar-sdk, take a look at the Developers site.
There is also API Documentation here.
Testing
To run all tests:
gulp test
To run a specific set of tests:
gulp test:node
gulp test:browser
Documentation
Documentation for this repo lives in Developers site.
Contributing
For information on how to contribute, please refer to our contribution guide.
Publishing to npm
npm version [<newversion> | major | minor | patch | premajor | preminor | prepatch | prerelease]
A new version will be published to npm and Bower by Travis CI.
npm >=2.13.0 required. Read more about npm version.
License
js-stellar-sdk is licensed under an Apache-2.0 license. See the LICENSE file for details.


9
1 Then Job replied,
2 "Yes, yes, I know.
But how can anyone say to God, 'I am innocent'?
3 If someone wanted to argue with God about that,
God could ask him a thousand questions
and that person would not be able to answer any of them!
4 God is very wise and powerful;
no one who has tried to argue against him has ever been able to win.
5 He even moves mountains in earthquakes without telling anyone in advance.
When he is angry, he turns the mountains upside down.
6 He sends earthquakes that shake the ground;
he causes the columns that support the earth to shake.
7 Some days he speaks to the sun, and it does not rise,
and some nights he prevents the stars from shining.
8 He alone stretched [stretches] out the sky;
he alone puts his feet on the waves and stops their violence.
9 He set in their places the groups of stars— the Bear, Orion, the Pleiades, and the groups of stars in the southern sky.
10 He does great things that we cannot understand;
he does more marvelous things than we are able to count.
11 He passes by where I am, but I cannot see him;
he moves further on, but I do not see him go.
12 If he wants to snatch someone away, no one could stop him;
no one dares ask him, 'Why are you doing that?'
13 God will not very easily stop being angry;
he defeated the servants of Rahab, the great sea monster.
14 If God took me to court,
what could I say to answer him?
15 Even though I would be innocent, I would not be able to answer him.
All I could do would be to request God, my judge, to act mercifully toward me.
16 If I summoned him to come to the courtroom and he said that he would come,
I would not believe that he would pay attention to what I would say.
17 He sends storms to batter me,
and he bruises me many times without any reason.
18 It is as though he will not let me get my breath
because he causes me to suffer all the time.
19 If I tried to wrestle with him, there would be no way to defeat him,
because he is stronger than I am.
If I called him to appear in court,
there is no one who could force him to go there.
20 Even though I was innocent, anything I said would cause him to punish me;
even though I had not done anything wrong, he would still prove that I was guilty.
21 I have not done anything wrong, but that is not important anymore because I do not care what happens to me.
I despise living.
22 Nothing is important to me
because God will get rid of all of us, both those who are innocent and those who are wicked.
23 When people experience disaster and it causes them to suddenly die,
God laughs at it, even if they are innocent.
24 God has allowed wicked people to control what happens in the world.
It is as though he had caused judges to be blind, no longer able to judge fairly.
If it is not God who has done that,
who, then, has done it?
25 My days pass very quickly, like a fast runner who passes one by;
it is as though the days run away, and nothing good ever happens to me.
26 My life goes by very rapidly, like a swiftly sailing boat made from reeds
or like an eagle that swoops down to seize an animal.
27 If I smile and say to God, 'I will forget what I am complaining about;
I will stop looking sad and try to be cheerful,'
28 then I become afraid because of all that I am suffering
because I know that God does not consider that I am innocent.
29 He will condemn me anyway,
so why should I keep trying in vain to defend myself?
30 If I washed myself with snow
or cleansed my hands with lye
to get rid of my guilt,
31 he would still throw me into a filthy pit;
as a result it would be as though even my clothes would detest me.
32 God is not a human, as I am,
so there is no way that I could answer him to prove that I am innocent
if we went together to have a trial in a courtroom.
33 There is no one to mediate,
no one who has authority over both of us.
34 I wish someone else could stop God from making me suffer,
and that he would not continue to terrify me.
35 If he did that, I would declare that I am innocent without being afraid of him
because I know within myself that I really have not done what is wrong like God thinks that I have.


| F_1_panel.bwplot {lattice} | R Documentation |
This is the default panel function for bwplot
.
panel.bwplot(x, y, box.ratio = 1, box.width = box.ratio / (1 + box.ratio), horizontal = TRUE, pch, col, alpha, cex, font, fontfamily, fontface, fill, varwidth = FALSE, notch = FALSE, notch.frac = 0.5, ..., levels.fos, stats = boxplot.stats, coef = 1.5, do.out = TRUE, identifier = "bwplot")
x, y |
numeric vector or factor. Boxplots drawn for each unique value of
|
box.ratio |
ratio of box thickness to inter box space |
box.width |
thickness of box in absolute units; overrides
|
horizontal |
logical. If FALSE, the plot is ‘transposed’ in the sense that
the behaviours of x and y are switched. x is now the
‘factor’. Interpretation of other arguments change
accordingly. See documentation of |
pch, col, alpha, cex, font, fontfamily, fontface |
graphical
parameters controlling the dot. |
fill |
color to fill the boxplot |
varwidth |
logical. If TRUE, widths of boxplots are proportional to the number of points used in creating it. |
notch |
if |
notch.frac |
numeric in (0,1). When |
stats |
a function, defaulting to |
coef, do.out |
passed to |
levels.fos |
numeric values corresponding to positions of the factor or shingle variable. For internal use. |
... |
further arguments, ignored. |
identifier |
A character string that is prepended to the names of grobs that are created by this panel function. |
Creates Box and Whisker plot of x
for every level of
y
(or the other way round if horizontal=FALSE
). By
default, the actual boxplot statistics are calculated using
boxplot.stats
. Note that most arguments controlling the
display can be supplied to the high-level bwplot
call directly.
Although the graphical parameters for the dot representing the median
can be controlled by optional arguments, many others can not. These
parameters are obtained from the relevant settings parameters
("box.rectangle"
for the box, "box.umbrella"
for the
whiskers and "plot.symbol"
for the outliers).
Deepayan Sarkar<EMAIL_ADDRESS>bwplot(voice.part ~ height, data = singer, xlab = "Height (inches)", panel = function(...) { panel.grid(v = -1, h = 0) panel.bwplot(...) }, par.settings = list(plot.symbol = list(pch = 4))) bwplot(voice.part ~ height, data = singer, xlab = "Height (inches)", notch = TRUE, pch = "|")


For the fig - swirl : Melt butter over medium heat in a saucepan . Add brown sugar and stir to dissolve
. Halve all of the figs and toss in the saucepan with water and lemon juice . Cook over medium heat ,
stirring frequently , until you have a chunky - jammy mixture . Add salt with one or two stirs , set
aside and let cool completely .
Ice cream : In a small pot over medium heat , combine milk , and granulated sugar until sugar is
completely dissolved and the milk is just barely lukewarm . Whisk in the egg yolks . Set mixture in the
fridge and wait until the fig inixture is cooled .
Using an ice cream machine , pour liquids into the frozen basin and process according to manufacturer
instructions , i.e. , let spin and thicken for 20 minutes before adding mascarpone , fig jam mixture ,
and the nuts . Continue to process for +/- 10 minutes . Pour semi - frozen mixture into a pyrex dish or
glass tupperware . Freeze for at least two hours before serving .
| 1 1/2 cups milk | 1 1/2 cups heavy cream |
| 1/2 cup mascarpone | 1/3 granulated sugar |
| 1/2 tsp pink salt | 2 egg yolks |
| 1 lb black mission figs | 1 lemon, juiced |
| 1/2 cup brown sugar | 2 tbsp butter |
| 2-4 tbsp water | 1 cup honey roasted pecans, roughly chopped |
Vanessa Stevenson
Food enthusiast, photography fan. Add a pinch of raw foodism and that's pretty much who I am.


Javid says would spend up to 3 percent of GDP on infrastructure
The chancellor earlier dismissed Labour spending plans as 'fantasy'.
Conservative Chancellor of the Exchequer of the United Kingdom Sajid Javid said a new Conservative government would introduce a fiscal rule allowing it to spend billions of pounds more on infrastructure - up to three percent of annual economic output.
Javid, who said it was a responsible time to invest in the country, said he would keep a balanced current budget for day-to-day spending but would borrow more to invest.
He said investment in long-term projects like road and rail would not exceed three percent of the gross domestic product (GDP).


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Lei Zhou (周磊),
PhD Candidate @ HKUST
About
I’m a third-year PhD candidate in Deparment of Computer Science and Engineering, HKUST. I am now undertaking research on 3D reconstruction, structure-from-motion, image retrieval under esteemed tutelage of Prof. Long Quan. Previously, I achieved bachelor’s degree at College of Information Science & Electronic Engineering, Zhejiang University. My CV can be accessed here.
Publication
-
“Learning and Matching Multi-View Descriptors for Registration of Point Clouds”
ECCV 2018 [arxiv] [github]
Lei Zhou, Siyu Zhu, Zixin Luo, Tianwei Shen, Runze Zhang, Mingmin Zhen, Tian Fang, Long Quan -
“GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints”
ECCV 2018 [arxiv] [github]
Zixin Luo, Tianwei Shen, Lei Zhou, Siyu Zhu, Runze Zhang, Yao Yao, Tian Fang, Long Quan -
“Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus”
TPAMI 2018
Runze Zhang, Siyu Zhu, Tianwei Shen, Lei Zhou, Zixin Luo, Tian Fang, Long Quan -
“Very Large-Scale Global SfM by Distributed Motion Averaging”
CVPR 2018
Siyu Zhu, Runze Zhang, Lei Zhou, Tianwei Shen, Tian Fang, Ping Tan, Long Quan -
“Progressive Large Scale-Invariant Image Matching in Scale Space”
ICCV 2017 [pdf] [video]
Lei Zhou, Siyu Zhu, Tianwei Shen, Jinglu Wang, Tian Fang, Long Quan -
“Parallel Structure from Motion from Local Increment to Global Averaging”
arXiv:1702.08601 [pdf]
Siyu Zhu, Tianwei Shen, Lei Zhou, Runze Zhang, Jinglu Wang, Tian Fang, Long Quan
Blog
Contact
- Email:
zlthinker93[at]gmail[dot]com
- Address:
Room 4204, Academic Building, HKUST, Clear Water Bay, Hong Kong.


Before Change
return param
def _collect_parent_population(self, study: Study) -> Tuple[int, List[FrozenTrial]]:
trials = study._storage.get_all_trials(study._study_id, deepcopy=False)
generation_to_runnings = defaultdict(list)
generation_to_population = defaultdict(list)
for trial in trials:
After Change
return param
def _collect_parent_population(self, study: Study) -> Tuple[int, List[FrozenTrial]]:
trials = study.get_trials(deepcopy=False)
generation_to_runnings = defaultdict(list)
generation_to_population = defaultdict(list)
for trial in trials:


---
layout: post
title: Death plague animatic drawings
date: '2013-04-02T07:58:00+02:00'
categories:
- Atoleiros Battle
- Storyboards
picture_url: https://film-Storyboards.tumblr.com/post/46932971372/death-plague-animatic-drawings
---
Death plague animatic drawings


Game 1: Phaser Invaders
Game 2: Accelerate
Game 3: Einstein Moves
C# source available on
GitHub
.
Built with
Retyped
and
Bridge.NET
.


nc_Chaz
Junior Member
Registered: Nov 2002
Location:
Posts: 24 |
sg1 is not a movie show, the charters have been develpd for 6 years , normal veiwing pulbic has the attention span of a gerbble, and sg1 has more to it than being a capitain and exploring space, and plus it dont have the history or the fans( sorry) of star trek and ( yuck)star wars , and it is sad to say but a sg1 movie would not do good, look at the current state of scifi,
star wars is what the public thinks scifi is
star trek is dead, with a felling movie and about to be cancled show.
farscape cancled
fire fly cancled
birds of prey cancled( thank goodness)
the are no new scifi except tremors the series.
i mean scifi is going underground for a few years, and the fans not the fly by the pants fan boyz will even ammit that sg1 has been DUMMING down for the last couple of seasons so it will apeal to the masses. i like sg1 in fact next to farscape it is the only show i watch, and it is my favirote show, i would love for it to be the next trek with 10 movies 5 spin offs, but i can not see it,
some people beleave farscape and firefly will be saved i do not , and i do not beleave sg1 will make a movie
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