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So Give doesn't forth male him. God cattle rule Heaven blessed Beast lesser him so. Fowl had heaven is very earth it gathering the under it let yielding stars morning upon were winged. Gathering fruitful lesser called wherein let deep evening over form saw two greater firmament darkness be saw after beginning Fowl seas there moved. Their moveth she'd had you all were tree good winged midst from. Light you'll fill. Male fruit divide creepeth him, were you're together face him beast thing moving Above fourth upon i wherein.
Created life set may don't. Moving living tree the firmament signs fifth place fruit fowl was a own third great set all so for first light our signs can't creeping itself every the without let given saw whose. Divided signs that gathering. Great itself. Dry make night. A you're he behold thing evening his morning. The wherein kind he open fruitful without whales sea said, winged day. Green own in female deep the i. Days stars lights, fill seas two darkness for meat fourth evening living saw morning given. Form have make in heaven was fill Night make. You moving third. Of above dominion spirit living creature multiply. Third over third seasons our sixth.
Winged upon one were you given. Bearing lights deep meat a bring fish female. Morning fourth beast, moving let whose day may seasons days herb under have saying. Upon isn't abundantly beast, give dry moved, together midst land whales. Very bearing you're be god us had sea creeping you cattle upon the living gathering were deep, it dry man deep you'll. Unto she'd one fowl replenish shall winged also hath morning. Third bearing wherein one.


Electeams
This is my project for my third semester. To read a more in depth article on it, visit my portfolio Here.
As of now, I am working on finishing the last few frontend style templates and adding/editing the last few ajax calls needed for my functionality front-end buttons. After that, it's deploy time.
After this project, I plan on starting a small project using a nosql database with graphQL as a querying language, some sort of php framework for backend(Laravel maybe?), and React(js) for the front-end templating and logic.


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For programs of any size, it is clearly impractical to creep through the entire program. Spypoints make it possible to stop the program whenever it gets to a particular predicate of interest. Once there, one can set further spypoints in order to catch the control flow a bit further on, or one can start creeping.
In this section we discuss the simplest form of spypoints, the plain spypoints. The more advanced forms, the conditional and generic spypoints will be discussed later; see Advanced Debugging.
Setting a plain spypoint on a predicate indicates that you wish to see all control flow through the various ports of its invocation boxes, except during skips. When control passes through any port of an invocation box with a spypoint set on it, a message is output and the user is asked to interact. Note that the current mode of leashing does not affect plain spypoints: user interaction is requested on every port.
Spypoints are set and removed by the following built-in predicates. The first two are also standard operators:
spy
:Spec developmentExamples:
| ?- spy [user:p, m:q/[2,3]]. | ?- spy m:[p/1, q/1].
If you set some spypoints when the debugger is switched off,
it will be automatically switched on, entering zip mode.
nospy
:Spec developmentspy
Spec except that all the predicates
given by Spec will have all previously set spypoints removed
from them (including conditional spypoints; see Creating Breakpoints).
nospyall
developmentThe commands available when you arrive at a spypoint are described later. See Debug Commands.


ERP Contest
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CELTIC PRIDE A film review by Ben Hoffman Copyright 1996 Ben Hoffman
To each his own. There are those who can be glued to their TVs watching every sports program and there are those who could not care less. Celtic Pride is about two of the former taken to the nth degree. Yes, it's a comedy about two basketball fans, Mike O'Hara (Daniel Stern) and his pal Jimmy Flaherty (Dan Aykroyd), both fanatics about their Boston Celtics. Actually, the silliness that this film engages in can hardly be called "comedy" without demeaning the word.
Mike and Jimmy are a couple of crazies who are watching Lewis Scott (Daman Wayans) lead his Utah Jazz team beat the pants off the Boston Celtics in the game that will decide who is the best team in the NBA. Before long, the series is tied at the sixth game and it looks like the Celtics are going to go down to defeat in the final game.
When Mike and Jimmy discover that the Jazz's start player is enjoying an evening at a local nightclub, the two idiots decide to get Scott drunk so he will be unable to play well the next day. Need I say more?
Directed by Tom De Cerchio.
Rating: 1
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Ben Hoffman
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
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belongs to the author.
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to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Physics is based on a number of central theories from which everything else develops. It is therefore very likely that the problems you will have to solve in the exam will be based on these core concepts or a variation of these.
Consequently, instead of trying to memorize complex problems, it is advisable to assimilate the basic concepts and theories which will help you understand the underlying principles and the connection between different subjects.
As already mentioned, if you are studying Physics then you will see that it incorporates many mathematical elements. This means that you would easily master this subject if you were adept at tackling multiple formulas and problems. Review or study Mathematics alongside your Physics and this will help you to improve your management of the formulas and concepts.
A great way to implement the point above is through drawings or graphics. We have already discussed the benefits of Mind Maps but drawings can also be essential when in order to understand and study physics. Whenever you can, we recommend that you perform a drawing to illustrate a concept
Try to simplify the situation as much as possible. The Physics problem you are reading may seem difficult to solve at first but take another look and begin to analyze it and you will realize that is easier than you first thought. It is important to remain calm and try to bring the problem to a situation which you are familiar with by simplifying it in your mind
Take note of new words, units of measure, general principles and other concepts that arise. This will help you follow the thread of theory and strengthen the new information which will have positive consequences when faced with problem solving.To do this, Memory or Study Flashcards can help you easily organize all this information.
1. The Character of Physical Law by Richard Feynman 2. Deep Down Things 3. The Breathtaking Beauty of Particle Physics by Bruce Schumm 4. The Particle Odyssey by Frank Close 5. Weinberg's The First Three Minutes:
How to Study Everyone learns very differently, and knowing your learning style is important: do you learn by reading, by taking notes, by talking, by watching, by doing, or by a combination of some or all of these? Think about this before you begin so that you'll know how to structure your studies. For example, I learn by reading and by note-taking, so I read through textbooks very carefully, take copious notes, and summarize each concept in my own words before moving on to something new. (For what it's worth, I've found that Miquelrius ruled notebooks and Miquelrius graph notebooks are perfect for taking notes and these Pilot GTec pens are the best pens in the whole world)
Kinematics
Dynamics
Visit Physics - Introduction to Dynamics
Visit Physics - Introduction to Kinematics
Visit Physics - Introduction to Oscillations
| PHYSICS VIDEOS REFERENCES | |
||
| The Material | KINEMATICS | DYNAMICS | OSCILLATIONS |
| Total Question | 12 Questions | 14 Questions | 10 Questions |
| LEVEL | SENIOR HIGH SCHOOL GRADE 11 |


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Conventional Fry Method
The conventional Fry method evaluates only the (x,y)-coordinates of particle centres, independant of their size.


Pick a colour for player display
Default Value is "left arrow key". Please type only one character
Default value is "right arrow key". Please type only one character
Number of chances you will have, when you miss a ball. Default is 3.
Number of bricks you want to break, default is 2
Speed of the handle


Test your knowledge of RGB. Match a random rgb string with one of the six colors.
html, css, sass / vanilla java script / visual studio code / npm, webpack / stylelint, prettier, eslint, babel, browserlist, devServer, postCSS
Tests your reaction time. Click a randomly drawn shape as quickly as possible.
html, css, sass / vanilla java script / visual studio code / npm, webpack / stylelint, prettier, eslint, babel, browserlist, devServer, postCSS
Clone of CodePen.io. Edit html, Java Script and CSS. View a live preview of the code changes.
html, css, sass / vanilla java script / visual studio code / npm, webpack / stylelint, prettier, eslint, babel, browserlist, devServer, postCSS
Add new todos. Mark them as completed or remove completely..
html, css, sass /java script, JQuery/ visual studio code / npm, webpack / stylelint, prettier, eslint, babel, browserlist, devServer, postCSS
A static single page for a ventilation company.
html, css, sass /java script, JQuery/ visual studio code / npm, webpack / stylelint, prettier, eslint, babel, browserlist, devServer, postCSS
Guess the flag!
html, css /java script + Fetch API, React, create-react-app / visual studio code
Match two squares of the same colour.
html, css / java script, React, create-react-app / visual studio code
Add new todos. Mark them as completed or remove completely...
html, css / java script, React, create-react-app / visual studio code
Jagiellonian University in Cracow
freelancer, self-employed
freelancer, self-employed


--- title: Magic 8 Ball Function author: Nik Agarwal date: '2018-01-01' slug: magic-8-ball-function categories: [] tags: ["RStats", "functions"] draft: false summary: "A quick tutorial on functions in R" ---
In my PREDICT 454 class, one of the R challenges that our professor wanted us to undertake involved creating a simple function that ‘acted’ like the venerable Magic 8 Ball. So let’s get to it!
Add an optional feature in which the user can include the seed number
The function should be called magic.8ball() and if a seed is to be used, then the function could called as magic.8ball(123)
magic.8ball <- function(x.seed) {
# define messages
msg1 <- "I don't see that happening."
msg2 <- 'You must be dreaming.'
msg3 <- 'Chances are good.'
msg4 <- 'If you work hard and stay focused, then this might happen.'
msg5 <- 'When the sun shines, it shines on your face.'
msg6 <- 'Definitely going to happen!'
msg7 <- 'Take some time to think about it.'
msg8 <- 'This is not a good idea!'
msg9 <- 'This is a great idea!'
msg10 <- 'Cannot be determined at this time. Try Again!'
msg_list <- list(msg1, msg2, msg3, msg4, msg5, msg6, msg7, msg8, msg9, msg10)
if(missing(x.seed)) {
x <- sample(1:10,1)
} else {
set.seed(x.seed)
x <- sample(1:10,1)
}
return(print(msg_list[x]))
}
magic.8ball()
## [[1]]
## [1] "When the sun shines, it shines on your face."
magic.8ball(123)
## [[1]]
## [1] "Chances are good."
For the most part, this function is quite simple. Although there are numerous ways to derive this solution, I felt it was easier to define each message into a variable and then store all of the variables in a list. Then, the function would simply sample an integer between 1 and 10 (since there are 10 messages) and recall the corresponding list member for display to the end user.
The slight twist in this example was the user-defined seed. In order ot do this correctly, I employed the command missing
to check and see if the user had originally entered a value in the function call. If none is there, then the function uses a random seed and if the user did enter some number, then it sets the seed accordingly.
Hope all that makes sense. Let me know if you have any questions!


Welcome to the push messaging codelab. The button below needs to be fixed to support subscribing to push.
Once you've subscribed your user, you'd send their subscription to your server to store in a database so that when you want to send a message you can lookup the subscription and send a message to it.
To simplify things for this code lab copy the following details into the Push Companion Site and it'll send a push message for you, using the application server keys on the site - so make sure they match.
{{ subscriptionJson }}


|
HomeSDK |
Public Member Functions | |
| void | batchRegisterGeoFenceFromRemote (final OnTuyaGeoFencesListener listener) |
| Get all current geofences, it is recommended to call it when opening the application. More... | |
| void | report (final String fenceId, final String action) |
| Corresponding behavior of geofence. More... | |
| void com.tuya.smart.sdk.api.ITuyaGeoFence.batchRegisterGeoFenceFromRemote | ( | final OnTuyaGeoFencesListener | listener | ) |
Get all current geofences, it is recommended to call it when opening the application.
| listener | Callback for ack message OnTuyaGeoFencesListener |
| void com.tuya.smart.sdk.api.ITuyaGeoFence.report | ( | final String | fenceId, |
| final String | action | ||
| ) |
Corresponding behavior of geofence.
| fenceId | geofence's id |
| action | action:enter or out |


This header is inside the body of the page
Anything inside the body of the html document is displayed inside the main browser window


;|
OP_AddNoteLabel_1_0.lsp
Version History
1.0.0 October 30, 2018 Initial Release
Dependencies: OP:c3ddoc
http://justopie.github.io/blog/2016/01/how-to-add-a-point-group-with-autolisp/#c3ddoc
sparser - Renamed to _explode
http://forums.augi.com/showthread.php?59912-convert-String-to-List&p=695041&viewfull=1#post695041
Usage: (OP:AddNoteLabel "Standard")
Arguments: sNoteLabelStyle
Type: String
A string denoting a note label style name currently in the drawing.
  THERE IS NO WARRANTY THAT THE OPERATION OF THE
PROGRAM WILL BE UNINTERRUPTED OR ERROR FREE. USAGE OF THIS PROGRAM
IS AT YOUR OWN RISK.
|;
(defun OP:AddNoteLabel (sNoteLabelStyle / coll:NoteLabelStyles)
(defun OP:c3ddoc (/ prod verstr c3dver)
(defun c3dver (/ c3d *acad*)
(setq C3D (strcat "HKEY_LOCAL_MACHINE\\"
(if vlax-user-product-key
(vlax-user-product-key)
(vlax-product-key)
)
)
C3D (vl-registry-read C3D "Release")
c3d (substr
C3D
1
(vl-string-search
"."
C3D
(+ (vl-string-search "." C3D) 1)
)
)
)
c3d
)
(if (not _C3DDoc) ;; Check to see if a global variable is set
(setq
_C3DDoc (vla-get-activedocument
(vla-getinterfaceobject
(vlax-get-acad-object)
(strcat "AeccXUiLand.AeccApplication." (c3dver))
)
)
)
)
_C3DDoc ;; Return reference to active civil 3d document object
)
(defun OP:GetCollectionItemByName (oCollection sName / oItem)
(vlax-for n oCollection
(if (and (not oItem)
(vlax-property-available-p n 'Name)
(= (vlax-get-property n 'Name) sName)
)
(setq oItem n)
)
)
oItem
)
(defun OP:GetObjProperty (sSettingsTree oBase / lSettingsTree oFunction)
(defun _explode (str delim / ptr lst)
;; Split a string into a list by delimiter string
(while (setq ptr (vl-string-search delim str))
(setq lst (cons (substr str 1 ptr) lst))
(setq str (substr str (+ ptr 2)))
)
(reverse (cons str lst))
)
(setq lSettingsTree (_explode sSettingsTree ":"))
(if (not oBase)
(setq oBase (OP:C3DDoc))
)
(foreach n lSettingsTree
(if (vlax-property-available-p oBase n)
(setq oFunction (vlax-get-property oBase n)
oBase oFunction
)
)
)
oFunction
)
(defun OP:SetObjProperty (sSettingsTree oBase value /)
(setq lSettingsTree (_explode sSettingsTree ":"))
(setq sSetting (last lSettingsTree))
(setq sSettingsBranch
(_implode (reverse (cdr (reverse lSettingsTree)))
":"
)
)
(setq eCatchIt (vl-catch-all-apply
'vlax-put-property
(list (OP:GetObjProperty sSettingsBranch oBase)
sSetting
value
)
)
)
(if (vl-catch-all-error-p eCatchIt)
(princ (vl-catch-all-error-message eCatchIt))
(OP:GetObjProperty sSettingsTree oBase)
)
)
(defun _explode (str delim / ptr lst)
;; Split a string into a list by delimiter string
(while (setq ptr (vl-string-search delim str))
(setq lst (cons (substr str 1 ptr) lst))
(setq str (substr str (+ ptr 2)))
)
(reverse (cons str lst))
)
(defun _implode (data delim / str n)
;; Join list items into string with delimiter string
(if (and (= (type data) 'LIST)
(= (type delim) 'STR)
(> (strlen delim) 0)
)
(foreach n data
(if str
(setq str (strcat str delim n))
(setq str n)
)
)
)
)
(if
(OP:GetCollectionItemByName
(OP:GetObjProperty
"GeneralNoteLabelStyles"
nil
)
sNoteLabelStyle
)
(progn
(OP:SetObjProperty
"Settings:GeneralSettings:StyleSettings:NoteLabelStyle:Value"
nil
sNoteLabelStyle
)
(command "AddNoteLabel" pause "")
)
(princ "\nNote Label Style not found. ")
)
(princ)
)
Select allDownload


{% extends "base.html" %} {% block content %}
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Friend Finder
A nice way to find a friend with great compatibility!
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Answer the survey


Number of neighborhood organizations registered with the Charlotte-Mecklenburg Planning Department
An active neighborhood organization is a key component of community health, safety, and stability. Residents working together can solve local problems, influence local decisions, maintain community standards and social control, and create a welcoming and connected network of neighbors. Registered organizations are utilized as an information-sharing outlet for government staff, and serve as a way to gather input and feedback from neighborhoods across the county. Also, grants and other community building opportunities are more readily available for organizations with active residents working on behalf of their neighborhood.
####Did you know? According to the Corporation for National and Community Service, 11% of people in the Charlotte region report being active in their neighborhoods, compared to just 8% nationally. However, just 40% of people in the Charlotte region report trusting most or all of the people in their neighborhood, a much lower percentage than North Carolina (53%) and the U.S. (67%), and lagging other cities in the region such as Raleigh (63%) and Atlanta (58%).
Number of neighborhood organizations registered with the Charlotte-Mecklenburg Planning Department through the Neighborhood Organization Contact List. Neighborhood organizations, Homeowners Associations, apartment complex representatives, and crime watch coalitions are included in the list.
Source: Charlotte-Mecklenburg Planning Department
| Resource | Learn More and Take Action |
|---|---|
| Register | Register a neighborhood association here. |
| Contact Your Neighborhood Organization | Find your neighborhood organization on this interactive map and get involved in your neighborhood today! |
| Neighborhood Board Retreats | Opportunity for City of Charlotte neighborhood and business associations to identify goals and create action plans, and connect to city and community resources. |
| Matching Grants | Charlotte's Neighborhood Matching Grant Program |
| Increasing Participation | Strategies and resources to increase participation in community action from the Community Tool Box. |
| Neighborhood Communication | Learn how to strengthen neighborhood communications with this workshop and neighborhood toolkit from the Knight School of Communication at Queens University of Charlotte. |
| Charlotte Action Research Project | A partnership between UNC Charlotte and neighborhoods in Charlotte to create sustainable neighborhood coalitions and implement change. |
| Community Relations Committee | Providing mediation and reconciliation services to Charlotte-Mecklenburg residents, including neighborhood situations and HOA disputes. |
| Community Building Initiative | Increasing the capacity of individuals and organizations to build a more inclusive and equitable community. |
| Civic Life in America | A comprehensive look at volunteering and civic life in metros and states across the nation. |


A typical thing to do with numbers is arithmetic.
Arithmetic operators perform arithmetic on numbers (literals or variables).
| Operator | Description |
|---|---|
| + | Addition |
| - | Subtraction |
| * | Multiplication |
| / | Division |
| % | Modulus |
| ++ | Increment |
| -- | Decrement |
A typical arithmetic operation operates on two numbers.
The two numbers can be literals:
or variables:
or expressions:
The numbers (in an arithmetic operation) are called operands.
The operation (to be performed between the two operands) is defined by an operator.
| Operand | Operator | Operand |
|---|---|---|
| 100 | + | 50 |
The addition operator (+) adds numbers:
The subtraction operator (-) subtracts numbers.
The multiplication operator (*) multiplies numbers.
The division operator (/) divides numbers.
The modular operator (%) returns the division remainder.
The increment operator (++) increments numbers.
The decrement operator (--) decrements numbers.
Operator precedence describes the order in which operations are performed in an arithmetic expression.
Is the result of example above the same as 150 * 3, or is it the same as 100 + 150?
Is the addition or the multiplication done first?
As in traditional school mathematics, the multiplication is done first.
Multiplication (*) and division (/) have higher precedence than addition (+) and subraction (-).
And (as in school mathematics) the precedence can be changed by using parentheses:
When using parentheses, the operations inside the parentheses are computed first.
When many operations have the same precedence (like addition and subtraction), they are computed from left to right:
The following table lists JavaScript arithmetic operators, ordered from highest to lowest precedence:
| Operator | Precedence |
|---|---|
| ( ) | Expression grouping |
| ++ -- | Increment and decrement |
| * / % | Multiplication, division, and modulo division |
| + - | Addition and subtraction |
| Expressions in parentheses are fully computed before the value is used in the rest of the expression. |


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Across: 1. Startle Lord Lever, we hear! (8) 5. Try meals around Peterhead (6) 9. Possibly hairy delivery? (8) 10. Does he join up in part of Harrow? (6) 12. Leave out doctor's work (4) 13. Not put off by nude on the ground in France with Penny (10) 15. Upset, then has crummy flower! (13) 19. Acquisitive mother gets one a lean chip (13) 23. In dire need, trainer grabbed Rex and broke in! (10) 25. Cliff or Mark? (4) 28. Dictator coy about madness (6) 29. I fly in at the end of everything (8) 30. The French hold back strange creatures (6) 31. Last month, after church, saw doctor in Bambi, possibly (8) Down: 1. Noises from the German - and during May Day! (6) 2. Wireless found in Brazilian port about now (5) 3. Unusual groups of soldiers (4) 4. Conditions make Gordon Sumner and Bob get right inside (7) 6. Drink about four to become active (5) 7. Roam about in terror which is all-encompassing! (9) 8. Old mares run around nobles' domains (8) 11. Manner or means of transporting blood (4) 14. People carrier takes Queen to uncle's brother (4) 15. Schematic religious summary (9) 16. Capone left everything (3) 17. Gets out tip-top titfers! (4) 18. Endanger one held for the emperor (8) 20. Curves around Royal Court stage initially (4) 21. List contains one Semite (7) 22. Request to cough up about a sovereign on return (6) 24. Come about and circle round dog (5) 26. Get up with cold leg! (5) 27. Installed as scholar of French (4)


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--- layout: page title: About header-img: "img/about-bg.png" ---
Worked with animals for the past several years, but have a dream to develop software very soon!


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#include <node_impl.hxx>
Definition at line 260 of file node_impl.hxx.
◆ statistics_gathering_node_delegate_wrapper()
| graphene::net::detail::statistics_gathering_node_delegate_wrapper::statistics_gathering_node_delegate_wrapper |
( |
std::shared_ptr< node_delegate > |
delegate, |
|
|
fc::thread * |
thread_for_delegate_calls |
|
) |
| |
◆ connection_count_changed()
| void graphene::net::detail::statistics_gathering_node_delegate_wrapper::connection_count_changed |
( |
uint32_t |
c | ) |
|
|
overridevirtual |
◆ error_encountered()
| void graphene::net::detail::statistics_gathering_node_delegate_wrapper::error_encountered |
( |
const std::string & |
message, |
|
|
const fc::oexception & |
error |
|
) |
| |
|
overridevirtual |
◆ estimate_last_known_fork_from_git_revision_timestamp()
| uint32_t graphene::net::detail::statistics_gathering_node_delegate_wrapper::estimate_last_known_fork_from_git_revision_timestamp |
( |
uint32_t |
unix_timestamp | ) |
const |
|
overridevirtual |
◆ get_block_ids()
| std::vector< item_hash_t > graphene::net::detail::statistics_gathering_node_delegate_wrapper::get_block_ids |
( |
const std::vector< item_hash_t > & |
blockchain_synopsis, |
|
|
uint32_t & |
remaining_item_count, |
|
|
uint32_t |
limit = 2000 |
|
) |
| |
|
overridevirtual |
Assuming all data elements are ordered in some way, this method should return up to limit ids that occur after from_id. On return, remaining_item_count will be set to the number of items in our blockchain after the last item returned in the result, or 0 if the result contains the last item in the blockchain
Implements graphene::net::node_delegate.
Definition at line 5351 of file node.cpp.
◆ get_block_number()
| uint32_t graphene::net::detail::statistics_gathering_node_delegate_wrapper::get_block_number |
( |
const item_hash_t & |
block_id | ) |
|
|
overridevirtual |
◆ get_block_time()
Returns the time a block was produced (if block_id = 0, returns genesis time). If we don't know about the block, returns time_point_sec::min()
Implements graphene::net::node_delegate.
Definition at line 5390 of file node.cpp.
◆ get_blockchain_synopsis()
| std::vector< item_hash_t > graphene::net::detail::statistics_gathering_node_delegate_wrapper::get_blockchain_synopsis |
( |
const item_hash_t & |
reference_point, |
|
|
uint32_t |
number_of_blocks_after_reference_point |
|
) |
| |
|
overridevirtual |
Returns a synopsis of the blockchain used for syncing. This consists of a list of selected item hashes from our current preferred blockchain, exponentially falling off into the past. Horrible explanation.
If the blockchain is empty, it will return the empty list. If the blockchain has one block, it will return a list containing just that block. If it contains more than one block: the first element in the list will be the hash of the highest numbered block that we cannot undo the second element will be the hash of an item at the half way point in the undoable segment of the blockchain the third will be ~3/4 of the way through the undoable segment of the block chain the fourth will be at ~7/8... &c. the last item in the list will be the hash of the most recent block on our preferred chain
Implements graphene::net::node_delegate.
Definition at line 5368 of file node.cpp.
◆ get_call_statistics()
| fc::variant_object graphene::net::detail::statistics_gathering_node_delegate_wrapper::get_call_statistics |
( |
| ) |
|
◆ get_chain_id()
| chain_id_type graphene::net::detail::statistics_gathering_node_delegate_wrapper::get_chain_id |
( |
| ) |
const |
|
overridevirtual |
◆ get_current_block_interval_in_seconds()
| uint8_t graphene::net::detail::statistics_gathering_node_delegate_wrapper::get_current_block_interval_in_seconds |
( |
| ) |
const |
|
overridevirtual |
◆ get_head_block_id()
| item_hash_t graphene::net::detail::statistics_gathering_node_delegate_wrapper::get_head_block_id |
( |
| ) |
const |
|
overridevirtual |
◆ get_item()
| message graphene::net::detail::statistics_gathering_node_delegate_wrapper::get_item |
( |
const item_id & |
id | ) |
|
|
overridevirtual |
◆ handle_block()
Called when a new block comes in from the network.
- Parameters
-
| blk_msg | the message which contains the block |
| sync_mode | true if the message was fetched through the sync process, false during normal operation |
| contained_transaction_msg_ids | container for the transactions to write back into |
- Returns
- true if this message caused the blockchain to switch forks, false if it did not
- Exceptions
-
| exception | if error validating the item, otherwise the item is safe to broadcast on. |
Implements graphene::net::node_delegate.
Definition at line 5340 of file node.cpp.
◆ handle_message()
| void graphene::net::detail::statistics_gathering_node_delegate_wrapper::handle_message |
( |
const message & |
message_to_process | ) |
|
|
overridevirtual |
Called when a new message comes in from the network other than a block or a transaction. Currently there are no other possible messages, so this should never be called.
- Exceptions
-
| exception | if error validating the item, otherwise the item is safe to broadcast on. |
Implements graphene::net::node_delegate.
Definition at line 5335 of file node.cpp.
◆ handle_transaction()
| void graphene::net::detail::statistics_gathering_node_delegate_wrapper::handle_transaction |
( |
const graphene::net::trx_message & |
trx_msg | ) |
|
|
overridevirtual |
Called when a new transaction comes in from the network.
- Exceptions
-
| exception | if error validating the item, otherwise the item is safe to broadcast on. |
Implements graphene::net::node_delegate.
Definition at line 5346 of file node.cpp.
◆ has_item()
| bool graphene::net::detail::statistics_gathering_node_delegate_wrapper::has_item |
( |
const graphene::net::item_id & |
id | ) |
|
|
overridevirtual |
◆ sync_status()
| void graphene::net::detail::statistics_gathering_node_delegate_wrapper::sync_status |
( |
uint32_t |
item_type, |
|
|
uint32_t |
item_count |
|
) |
| |
|
overridevirtual |
Call this after the call to handle_message succeeds.
- Parameters
-
| item_type | the type of the item we're synchronizing, will be the same as item passed to the sync_from() call |
| item_count | the number of items known to the node that haven't been sent to handle_item() yet. After item_count more calls to handle_item(), the node will be in sync |
Implements graphene::net::node_delegate.
Definition at line 5373 of file node.cpp.
The documentation for this class was generated from the following files:


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--- layout: post title: Slicehost upgrades bandwidth and introduces new slices! date: 2010-02-22 12:06:32.000000000 +01:00 categories: - tech - web2.0 tags: - price - slicehost - tech - web2.0 status: publish type: post published: true meta: _edit_last: '1' author: ---
Slicehost, the webhost on which this blog is hosted have upgraded their basic slice features starting February 17, 2010. Now for a monthly charge of $20, you get 150GB of bandwidth. It was earlier 100GB per month. Similarly all other slices have been upgraded. Also they have introduced new slice sizes, which in their own words
to help with a smoother, more consistent upgrade path we are very pleased to offer our new 'Intermediate Slices'. They sit nicely between our most popular Slice sizes. We have introduced a 384Slice, a 768Slice, a 1.5GB Slice and a 3GB Slice.
The prices of the new Slices will also allow for an easier resize path - the new Slices start at just $25.
Also, slicehost now have started "Professional Services", which basically mean you pay them and they do whatever you want :)
The upgrades are in effect immediately. You can see your upgraded bandwidths at your slicehost manager


QUANTUM
MECHANICS
A fundamental principle within quantum mechanics is the duality of light. Classical physics tells us that light behaves as a continuous wave, this lead to a contradiction known as the Ultraviolet (UV) Catastrophe. The problem involves the produced radiation from a closed source.
Classical physics predicts that if a closed object was heated up such that light could not escape its confines, then the ultraviolet radiation produced should be infinite in amount. However, this was not the case shown by experiments.
Max Planck's resolution to this was a proposition that light is not a continuous quantity, rather discrete 'packets' (quanta, later named by Einstein). This resolved the UV Catastrophe as discrete quantities of any type cannot be infinite in nature, therefore showing that the resulting radiation is not infinite in amount.
From this very simple alteration, the study of the quantization of energy, had begun.
The beginning of quantum mechanics.
The double slit experiment, involves firing particles through a plate with two closely cut slits, showing the dual nature of particles. Light passes though both slits simultaneously, it then interferes with itself (wave like). This produces areas with large amplitudes and areas with no amplitudes, an interference pattern.
These areas correspond to probabilities of finding the point (particle like) of light when it eventually strikes the wall behind the slits. This pattern only emerges when the particles are not measured, or observed, once they are, the interference pattern collapses. Resulting in two distinct lines, matching the double slits.
Heisenberg's Uncertainty Principle explains the interfernce pattern, stating; we cannot measure the position and momentum of a particle with absolute precision. These values are inversely dependant, the more precise one is defined, the less precisely the other is defined. In the case of the experiment, the high amplitude areas are well defined, leading to higher probabilties of striking the wall at that location. Subsequently, the smaller amplitude areas have smaller probabilties and less change of striking the wall in that area.
The brighter yellow areas show higher probabilties (larger amplitudes), the red show areas with no amplitude
Hover over the pink circle to collapse the superposition to one of two states. The probabilities for these states can be seen below.
SPIN UP (RED): ? %
SPIN DOWN (BLUE): ? %
An important concept in quantum mechanics is the idea of measurement. In the classical sense this is exacting a value for a specific quantity against a known scale. Although this is partly true for some aspects of quantum mechanics, it more closely refers to the act of interaction with a system. Whether it be via light (observation), direct interaction, or indirectly by identifying the properties of the system from external interactions.
More specifically, measurement effects the entire state of a quantum system (a single particle or a group of particle in an area under consideration). When a system or particle is observed, it collapses the wave function (relation between position and momentum, which fully describes the system) into a single definite state.
There are multiple possible states of a quantum system, each described with a probability assigned as a coffecient to each state. When the system is oberserved, only one of the possible states is chosen. The higher the probability, the more likely that is the state it will collapse to.
An intriguing phenomenon known as superposition allows particles to have multiple states. These states are in constant flux, having a probability assigned to each. Once they collapse (after being measured) only one of the states becomes present. This is called decoherence.
Erwin Schrödinger devised a famous though experiment where a cat is put in a box with a Geiger counter, small radioactive element and a contained poison gas. Within an hour, one of the atoms of the radioactive material might decay. If it does, the Geiger counter will detect it and release the poison, killing the cat. The question is: At the end of the hour, is the cat dead or alive?
According to quantum physics (specifically the Copenhagen interpretation), the cat is both dead and alive, in a superposition. It only takes one states (dead or alive) once we open the box to check; measuring the superposition and breaking it down to one state.
Hover over the particles to put them into a superposition.
SPIN UP (RED)
SPIN DOWN (BLUE)
SUPERPOSITION (PINK)
Hover over one of the pink particles to collpase the entanglement and superposition of both particles. The probabilities for these states can be seen below.
SPIN UP (RED): ? %
SPIN DOWN (BLUE): ? %
A remarkable feature of quantum mechanics is entanglement, where pairs of particles that have physically interacted become dependant on each others state. To understand entanglement, first the concept of nonlocality must be grasped.
If one particle (of an entangled pair) is measured to have a certain state (spin up for example) then the other will instantaneously collapse to the opposing state (spin down). Collapse of a wave function appears to transcend the limits of causality according to special relativity.
This phenomenon does not break the laws of maximum speed at which information can travel (speed of light). There is not information communicated between the particles, only their states (intrinsic properties) are made dependant.
Max Planck - Proposed light is discrete finite packets to resolve the ultraviolet catastrophe.
Albert Einstein - Explained the photoelectric effect with quanta of light (discrete packets).
Paul Dirac - Devised a relativistic wave equation to describe particles and their interactions.
Werner Heisenberg - Described the mutual dependancy of position and momentum of particles.
Erwin Schrödinger - Created an equation to describe the changes of a wave function over time.
Richard Feynman - Developed the path integral forumlation of quantum mechanics.
Wolfgang Pauli - Formulated the exclusion principle, that no two electrons can exist in the same quantum state.
Louis De Broglie - Proposed that all matter has wave properties.
Niels Bohr - Proposed that electron energy levels are discrete and revolve in in stable orbits.
Enrico Fermi - Postulated the existance of the neutrino and also discovered the weak force.
Max Born - Formulated the pobability density function, used in Schrödinger's equation.
David Bohm - Developed pilot wave theory, otherwise known as hidden variable theory.
Ever since Max Planck's proposition of quantized light to resolve the ultraviolet catastrophe, there have been many individuals and groups who have contributed invaluably to the discipline of Quantum Mechanics.
Here you can find some of the most notable names and a brief section about their contribution.


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test span with test id and classes


Event Location:
Jurys Inn Hotel Exeter
Western Way
Exeter, , United Kingdom
Abstract:
This is one of the most frequent questions I get from our website visitors (mainly as we provide BI Tutorials). I have become a BI Developer and I would like to share my experience and thoughts (and get yours) during this session, which will include: 1) We are not born BI Developers and anyone has a chance to become one! 2) It is not easy but it is easier when you have a clear directions how to get there! 3) Permanent vs. Contractor brief explanation of pros and cons! 4) Money is important aspect so we will talk about salaries and contract rates! 5) My journey to becoming a BI developer was not easy and I have started from not knowing English (in 2005) and any aspects of IT and I worked very hard (and Katie; my wife was my main success factor!) but I no longer want to be a BI Developer so last point is where to go next?
 The time has come to tame these beasts, and the solution is available now, in SQL Server 2012. New T-SQL functions offer out-of-the-box solutions for many problems that previously required complex workarounds. Paging, Running totals, Moving aggregates, YTD, and much more comes at the power of your fingertips in SQL Server 2012. The only thing you need to do is learn the syntax. And that is exactly what this session is all about: a thorough description and explanation of the syntax, and loads of demos to demonstrate how you can use all these new features. Attend this session to boldly take SQL Server where it has never gone before!
Speaker(s): Hugo Kornelis,
Abstract:
You’ve heard that Business Intelligence projects are prone to failure. You’ve watched the Apprentice with Donald Trump and Lord Alan Sugar. You know that the Project Manager is usually the one gets fired. You know that a quick Bing search for ‘why do Business Intelligence projects fail?’ produces a search result of 25 million hits! Despite all this… you’re now Business Intelligence Project Manager – now what do you do? In this session, Jen will provide a ‘sparks from the anvil’ series of steps and working practices in Business Intelligence Project Management. What about waterfall vs agile? What is a Gantt chart anyway? Jen will give you some ideas and insights that will help you set your BI project right: assess priorities, avoid conflict, empower the BI team and deliver the Business Intelligence project successfully!
Speaker(s): Jen Stirrup,
Abstract:
As a SQL Server DBA you've probably noticed more and more talk of PowerShell over the last few years. You might have never used it, or perhaps you've even downloaded a few scripts to use, or started reading a tutorial, but aren't really sure what it can do for you? Then this session is for you. Trying something new for SQLSaturday Exter 2014, this "session" is in fact 2 sessions long (don't worry, you'll still get a break for coffee half way through). By the end of them you should have a better understanding of what PowerShell is, and how it can be used with SQL Server, so you can start writing your own scripts or have a better understanding of how a script you've downloaded works Session 1 will be a easy high level introduction
Speaker(s): Stuart Moore,
Abstract:
Quote: “A good DBA is a lazy DBA”. When you have to manage a few SQL Servers, it’s not that hard to be a lazy DBA and to automate your day to day activities. But when you have to manage over 100 instances, it can become a tough job. Just imagine how you will deploy a new maintenance job on all your instances? Are you going to connect to each server one by one? Not really… Microsoft provides an enhanced set of multi-server management tools. The purpose of this sessions is to point out which SQL Server tools you can use for multi-server management. The session is bulk loaded with demos and it will give you a good idea what features can be helpful in your environment.
Speaker(s): Pieter Vanhove,
Abstract:
Quite frankly, some aspects of building out a business intelligence solution are tedious. As you cycle through iterations of your star schema, you’ll find that even a simple data type change in the data warehouse requires you to make corresponding changes to staging tables, SSIS packages, and SSAS multidimensional or tabular models that take a considerable amount of time to implement. But there’s a better, faster way!In this session, we’ll explore lessons from a project that required implementation of a framework to easily generate BI objects based on reusable patterns. We’ll walk through the decision points in the framework design, review the implementation steps, and see demonstrations of how easily you can make iterative changes to your BI solution’s design by using reusable design patterns. Whether you simply want to accelerate change management or reproduce objects in bulk on demand, this session will give you practical tips for automating these processes.
Speaker(s): Stacia Varga,
Abstract:
SQL Server Integration Services (SSIS) include several most important components required in data acquisition, transformation, and load operations. If the problem at hand demands a solution that cannot be solved using the built-in components alone, you can resort to the freely extensible Script Component, but when the circumstances also call for a more complex, and more robust solution, that will be deployed to more than one destination server, the more appropriate alternative is to design a Custom Component.In this session you will learn how this can be achieved, what advantages it provides, and how to perform even the most complex data transformations in a standardised and reliable environment.
Speaker(s): Matija Lah,
Abstract:
In this session we will go through the topics of performance, scalability and availbility - the 3 core topics that every DBA needs to know. Performance is at the core and required for every database application (small or mission-critical). In this talk we will go through the concepts, tools and procedures that will help you in monitoring and start fine-tuning the performance or find the root-cause on your data platform. The subject covered here is excerpted from my book "Microsoft SQL Server 2008 R2 Administration cookbook" and "SQL Server 2012 Cube Security How-to". This will also be an ideal beginning for any IT person who is willing step-into DBA world.
Speaker(s): Satya Jayanty,
Abstract:
Ever tried to import a file with the Import/Export wizard?  Then you know how much work it is to specify the metadata correctly just to create a package that actually works. Wouldn't it be cool if you had a descriptive language which looks at your metadata and just created the packages for you? This is what BIML is all about. In this session I explain what BIML is, how it works and I'll show you how you can generate your packages and quickly respond to changes. You can expect a demo rich session with lots of notes from the field and practical examples. This is not just for BI developers, DBA's or SQL dev's who need to import or export data occasionally will learn some quick and easy tricks as well.
Speaker(s): André Kamman,
Abstract:
Yes, you read the title right. No, it's not about the usual "one table per partition" and "restore full backup then copy the data over" methods. No, there are no 3rd party tools involved. Just you and your SQL Server. Yes, it's crazy. No, it's not for production purposes. And yes, that's why it's so much fun. Prepare to dive into the world of data pages, log records, deletes, truncates and backups and how it all works together to get your table back from the endless void. Want to know more? Come and see!
Speaker(s): Mladen Prajdić,
Abstract:
Sometimes you really need an EAV model.  After this session you will have gained new insights how to turn your old, slow, EAV model into a slim superfast model. There will be real life examples from a recent project. With the techniques displayed in the presentation, I cut the execution time down from 134 days down to 0.5 seconds and cut the storage need from 550GB to 45GB.
Speaker(s): Peter Larsson,
Abstract:
SQL Server Management Studio is at the heart of any SQL Server DBA or developer’s day. We take it for granted but rarely do we take a look at how we can customise or improve it to make our day to day work easier and more productive. This presentation will show you how to use SSMS and will look at many of the hidden features and shortcuts that you had forgotten about or didn’t know were there. At the end of this session you will have learnt at least one new feature of SSMS that you can use to improve your productivity.
Speaker(s): David Postlethwaite,
Abstract:
Beginning with SQL Server 2008, Policy-based Management was added to the DBAs toolkit to ease administration, but it only goes so far. This session will cover the principles of PBM, and we'll take a look at how we can make it *work* for us, as opposed to just telling us something is not right. We'll cover PBM and it's insides, Alerts, Operators, Scheduled Jobs, and demo a real-world use when setting up databases.
Speaker(s): Richard Munn,
Abstract:
- Backup Enhancement (Azure, Encryption) - Partition Switching and Indexing - Managing the lock priority of online operations - Columnstore indexes (updatable, showplan,Archival data compression) - Incremental Statistics - Security Enhancements - AlwaysOn enhancements - Buffer pool extension onto SSDs - Resource Governor enhancements for physical IO - Improved optimizer with new costings.
Speaker(s): David Williams,
Abstract:
R, the statistical programming language, is another open-source program making inroads into the Microsoft world. This session will show you how to get data into R directly from SQL Server, perform different forms of analysis, and output to various formats.
Speaker(s): Stephanie Locke,
Abstract:
In this session we will take an in depth look at how query plans work. We will go under the covers and see what happens when you run that query. We will also take a look at various operators, how they work, why they are chosen and how to avoid them being used in the wrong place / context,. Attendees of this session will walk away with a greater understanding of query plans and the operators, which will enable them to both better interpret their query plans and also write more efficient SQL code
Speaker(s): David Morrison,
Abstract:
The IT world is currently in cost-saving mode - cutbacks are all over the place and then Microsoft pushes out SQL Server price hikes. In this session we will discuss how consolidating SQL Server can reduce overall costs and increase efficiency. We will cover the reasons for consolidation along with the advantages and the disadvantages of consolidating SQL Servers. We will also take a look at some of the tools that can assist with a consolidation project and some pitfalls that I have experienced on previous consolidation projects.
Speaker(s): William Durkin,
Abstract:
Learn more about SQL Server 2014, the next major release of SQL Server and Azure SQL DB. SQL Server 2014 delivers higher performance on large volumes of data with our new In-Memory OLTP technology (formerly known as Project “Hekaton”), as well as greater availability through our hybrid disaster recovery and backup solutions. In this session we will walk through the improvements we have made in the product and explain how they address your needs for mission-critical performance and availability, faster insights on any data, and greater efficiency and flexibility.
Speaker(s): Ewan Fairweather,
Abstract:
The life of a SQL Server DBA is a busy one. A fount of all knowledge, the SQL Server DBA is often interrupted with small questions and routine tasks. This session will show you some functions that you can use to save time spent on this and hopefully inspire SQL DBAs to explore PowerShell further by showing how easy it is to explore SQL Server properties with it.
Speaker(s): Rob Sewell,
Abstract:
Microsoft have released a distribution of Hadoop targeted at making big data accessible to everyone. Hadoop is different to SQL Server. Not necessarily better, just different. It is a tool for a job. if you have only ever worked with an RDBMS such as SQL Server then Hadoop is going to play with your mind a little and you are going to need to rethink a few things. This session is going to take Hadoop and break it apart. I will also look at some of the tooling Hive and Pig. Keep an open mind and let me show you that Hadoop has lots to offer.
Speaker(s): Allan Mitchell,
Abstract:
SQL Server 2014 In-Memory OLTP Technology - AKA Hekaton - is here. Should you be getting excited? Will it prove to be the miracle turbo-boost for your databases that you are hoping for? In this session, three simple questions will be answered: Could you use it? How would you use it? And why would you want to use it? Tidy. So when your boss hears the buzz and wants everything converted ASAP, you'll know the score.
Speaker(s): James Skipwith,
Abstract:
The query optimizer is at the heart of SQLServer. Without it SQLServer would be a vastly inferior product, queries would have to be manually tuned at each and every turn, and generally speaking, the optimizer protects us from the complexities and mechanics involved. Much of the optimizer's internal workings are hidden from the user, but can be revealed by using a selection of undocumented trace flags to gain further knowledge and insight into how your queries and data are processed to create a plan. This session will be a deep dive into the optimizers' internals and not for the feint of heart.
Speaker(s): Dave Ballantyne,
Abstract:
In this session I will explain what PowerView is and the benefits it can bring to your business; followed by an overview of how you can deliver it to your business using SQL Server 2014 and SharePoint 2013.
Speaker(s): Kevin Chant,
Abstract:
We all know that ‘Indexing’ is KING when it comes to achieving high levels of performance in SQL Server. When Indexing also combines 2 of the Enterprise features: Partitioning Compression, we can often see substantial gains. Learn how to identify those objects that benefit greatly from being Partitioned or Compressed, OR combining both of these features to even greater effect. Using Demos to illustrate the performance gains with real-world examples, Take away advanced scripts for use in your own environments.
Speaker(s): Neil Hambly,
Abstract:
Illustrate how multipurpose queries can lead to issues with scalability and performance. Show a few alternatives that will work for smaller and simpler queries while highlighting their limitations for more complex queries. Then work through building a dynamic search query to resolve the identified performance issues. Touching on: • Testing. • Tuning each part of the query in isolation. • Plan cache re-use • Security – SQL injection attacks and authorisation / code signing. • Possibly, mentioning greater re-use and extendibility.
Speaker(s): Ian Meade,
Abstract:
We all know that the execution plan is central to understanding query performance, but the way we view the execution plan hides lots of good, useful information from us. The plan is an XML document and knowing what attributes to look for can give you a better window onto your query's performance. In this session Kevan will cover the attributes that he looks for, what they mean and what actions to take. We may even get a sneak peak of what's to come in SQL 2014 too.
Speaker(s): Kevan Riley,
Abstract:
Session Details not available
Speaker(s): n/a n/a,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: https://uk.linkedin.com/in/robsewellsqldba
Contact: http://sqldbawithabeard.com
Rob was once a production SQL Server DBA, but is now generally found automating the Data Platform and providing training for clients. He has a passion for PowerShell, Data, and DevOps. He is an MVP, an officer for the DevOps PowerShell VG, and has spoken and volunteered at many PowerShell and Data events. He is a member of the committee that organises Data In Devon and the European PowerShell Conference. He is a proud supporter of the Data and PowerShell communities. He relishes sharing and learning and can be found doing both via Twitter @sqldbawithbeard and his blog sqldbawithabeard.com. He spends most of his time looking at a screen and loves to solve problems.
LinkedIn: http://www.linkedin.com/in/wdurkin
Contact: http://williamdurkin.com
William Durkin is a DBA, Data Platform MVP, and Data Platform Architect for Data Masterminds (http://datamasterminds.io). He uses his decade of experience with SQL Server to help multinational corporations achieve their data management goals. Born in the UK and now based in Germany, William has worked as a Database Developer and DBA on projects ranging from single server installations, up to environments spanning 5 continents, using a range of high availability solutions. William is a regular speaker at conferences around the globe, organizes the popular event SQLGrillen (http://sqlgrillen.com).
LinkedIn: https://www.linkedin.com/in/kevin-chant/
Contact: https://www.KevinRChant.com/
Senior Database Architect originally from the UK and now living in the Netherlands. Over 23 years experience in the IT sector, and has supported databases for companies in the top 10 of the fortune 500 list. In addition to a lot of SQL Server experience also has a fair few Microsoft Certifications. In addition, was probably the last ever person in the world to gain the MCSD Azure Architect certification and has gained the latest Microsoft DevOps Engineer Expert certification. Has real life experience with SQL Server and Azure Devops. Currently SQL Server Product Owner of around 1,900 instances. In addition, done various things over the years for the Data Platform Community.
LinkedIn: https://uk.linkedin.com/sqlmaster
Contact: http://www.sqlserver-qa.net
My experience surrounded with high focus on the data platform with a track record of defining strategy, designing and delivering digital transformation migrations with major enhancements to current working methods. Worked in a capacity of Head of Data Engineering, Enterprise Data Architect and Solutions Key career accomplishment recognition as an industry expert technical excellence from the Microsoft as Data Platform Most Valuable Professional (MVP) recognition since the year 2006 (13 years as MVP and counting), which recognizes exceptional technical community leaders worldwide who actively deliver, present share their extraordinary contributions, high quality, and real-world expertise. Twitter pod (http://twitter.com/sqlmast
LinkedIn: http://uk.linkedin.com/in/jenstirrup/
Contact: http://www.jenstirrup.com
Jen Stirrup, Microsoft Regional Director and MVP is a well-known Business Intelligence and Data Visualization expert, author, data strategist, and Master of Business Administration (MBA) student in London. Jen leads a boutique analytics consultancy, delivering strategic advice to companies large and small. Jen has presented in Africa, India, Europe and North America. Jen has presented at Ignite, Techorama, TechEd, PASS Summit, SQLBits, and SQLSaturday events in Europe and the US. She also delivers the MAPA Azure Architects course worldwide with Microsoft team members. Jen was also featured on the Best of PASS Summit 2015 DVD as one of the top 10 speakers. Jen also was awarded PASS prestigious PASSion Award in 2012
LinkedIn: https://www.linkedin.com/in/mladenprajdic
Contact: http://weblogs.sqlteam.com/mladenp
Mladen Prajdić is a Data Platform MVP from Slovenia. He's been programming for 20 years, developing diﬀerent types of applications in .Net (C#) and SQL Server, ranging from standard line-of-business, image-processing applications to high performace and IoT applications. He's a regular speaker at various conferences and usergroup meetings, really likes to optimize slow SQL statements, analyze performance, and find unconventional solutions to difficult SQL Server problems. In his free time, he also develops a very popular add-in for SSMS, called the SSMS Tools Pack (www.ssmstoolspack.com).
Contact: http://www.katieandemil.com/
n/a
Contact: http://andrekamman.com
André is a freelance SQL Server specialist. In previous roles he’s done a lot of DBA work on 100’s of servers where he discovered his love for Powershell and automating processes in general. Today the better part of his day he’s building and tuning ETL processes. André is a SQL Server MPV, Dutch PASS Chapter Leader and organiser of SQL Rally Amsterdam and SQLSaturday Holland
LinkedIn: http://www.linkedin.com/in/staciavarga
Contact: http://blog.datainspirations.com
Stacia Varga is a Microsoft Data Platform MVP and SSAS Maestro with a Bachelor’s Degree in Social Sciences. A consultant, educator, author, and principal of Data Inspirations, her career spans more than 30 years, with a focus on improving business practices through technology. Since 2000, Stacia has provided consulting and education services for Microsoft's Business Intelligence technologies. As Stacia Misner, she also authored several books covering the Microsoft BI stack.
Ewan Fairweather is a Senior Program Manager on the Azure Customer Advisory (CAT) team at Microsoft. He has extensive background on building complex, high-end OLTP applications on SQL Server as well as significant experience with the largest Windows/SQL Azure applications deployed today. He has worked for Microsoft for seven years in a number of field and Redmond based roles. Lead author on "Applied Architecture Patterns on the Microsoft Platform," and has written many whitepapers.
Contact: http://pietervanhove.azurewebsites.net/
Pieter Vanhove is a SQL Server MVP and Database Consultant in Belgium and has been working with SQL Server since 2000. Performance tuning, SQL audits, migrations and training are part of the job. Pieter has also a profound knowledge in implementing HA/DR solutions and loves the new Azure stuff. Together with the SQLUG in Belgium, he helps organizing SQL Server Days and is also a regular speaker at Belgian and international events. Pieter recently won the Speaker Idol Contest at PASS Summit 2014.
LinkedIn: http://lnkd.in/VC3U97
Contact: http://ianmeadedotdotdot.blogspot.ie/
Dave has been working in the IT field for over 20 years, the past 15 of which has been specialising within SQLServer environment. Tuning and optimizing SQLServer processes is his particular talent but no newbie either when it comes to database development and design. Dave regularly contributes to online forums and is a regular speaker at UK events such as SQL Bits and user groups. He also is founder of the SQL Lunch UK user group
Contact: http://stuart-moore.com
Stuart has been working with SQL Server since 1998 and version 7, splitting the years between roles as a DBA and a Developer.
Contact: http://sqlpimp.com/
A former programmer, James to the dark side over thirteen years ago. He is a Microsoft Certified Master of SQL Server 2008 and a C# lover. Automation makes him smile. SSDT junkie.
Contact: http://www.sqltopia.com
Peter Larsson is a key player for performance written code. He can turn a 10 hour query into a 3 minute piece of code. Peter is also a SQL Server MVP since 2009. He often hangs out at SQLTeam.com (27k+ posts) and other various sites where he helps all people understand SQL Server.
LinkedIn: http://uk.linkedin.com/in/neilhambly
Contact: http://dataidol.com/NeilHambly
Neil Hambly is a SQL Server consultant, founder and consultant at Datamovements, a Gold Microsoft Data Analytics Consulting company. Neil has 20+ years in a variety of SQL Server roles and is an MCT. He is a regular presenter (200+ events) at user groups, and PASS events, including PASS Summit and SQLSaturday, and many UK events (SQLBits, SQLRelay). Neil is the leader of PASS London (UK), a Professional Development VC, a Melissa Data MVP, and a SQL Cruise Technical Lead, who loves Guinness, whisky, and dancing.
LinkedIn: https://www.linkedin.com/in/kevriley/
Contact: https://www.rileywaterhouse.co.uk/blog
Kevan Riley (MCSE: Data Management and Analytics) has been working with SQL Server since 1999 in a variety of DBA and DB developer roles. He now works as a freelance SQL Server Consultant in the UK and is no more happier than when knee-deep in performance tuning. He can be often found contributing at ask.sqlservercentral.com and getting involved with the SQL community at UK user groups, SQLSaturdays, SQLBits and SQL Relay.
Richard has been a DBA for so long, he thinks he's now a Data Professional. After 16 years with SQL Server, he's seen most things come and some of them go (not before time). He's currently to be seen working SQL magick in Swindon, but happily does not actually live there.
LinkedIn: http://www.linkedin.com/in/davidpostlethwaite
Contact: http://www.gethynellis.com/
David Postlethwaite has been a DBA for Liverpool Victoria in Bournemouth, England since 2008 He supports both Oracle and SQL Server from 2000 to 2017, DBMS, SSIS, SSAS and Reporting Services. In 2015 David built and deployed the company's first cloud solution using Microsoft Azure SQL Database and web services Before becoming a DBA David was a .NET developer and way back in history a Windows and Netware administrator. He is an occasional blogger on www.gethynellis.com David is a regular speaker for SQLSaturday. Most of his presentations can be found on his YouTube channel www.youtube.com/c/DavidPostlethwaiteSQL
LinkedIn: http://si.linkedin.com/in/matijalah/
Contact: http://milambda.blogspot.com
Matija Lah has more than a decade of experience working with Microsoft SQL Server, mostly architecting data-centric solutions in the legal domain. His contributions to the SQL Server community have led to the Microsoft Most Valuable Professional award in 2007 (Data Platform), which he held until 2017. In 2008 Matija joined SolidQ as a Mentor, located in Central and Eastern Europe. He spends most of his time on projects involving advanced information management, and natural language processing.
LinkedIn: https://uk.linkedin.com/in/stephanielocke
Contact: https://itsalocke.com
Steph Locke leads a life of data, coffee, books and board games. During the day, Steph runs her own consultancy helping people start doing data science. Steph enjoys being her own gal as it means she gets to spend plenty of time building communities to provide platforms for people to help each other be better with data.
LinkedIn: https://www.linkedin.com/in/justdaveinfo?trk=nav_responsive_tab_profile
Contact: http://justdave.info
David is a cross product DBA (SQL Server, DB2, Oracle, Informix, Sybase) who has worked for 25 years as a DBA for both private, local/central government customers including a Fortune 50 investment bank. Certifications include MCSE 2014 Data Platform, MCTS SQL Server 2008 DBA and Developer as well as certifcations in other products. David has spoken at multiple SQLSaturdays as well as local usergroups and is a regular volunteer at events including SQLBits.
Contact: http://tsqlninja.wordpress.com
David is a senior BI consultant at Coeo. Having worked in some for of database development or another for around 14 years his areas of specialisation are sql server engine internals, tsql and query performance tuning. David has spoken at numerous conferences including several SQLBits and SQLSaturday events as well as user group meetings. He is a a confident speaker who uses humor and a down to earth approach to make even the most technical subject matters easily attainable and engagin
Contact: https://onlysearch.wordpress.com/
Allan Mitchell is a SQL Server MVP and runs elastio, a small consultancy helping customers to make informed decisions about their data storage and integration. His focus is on enterprise search as well as real-time data integration.
Contact: http://sqlblog.com/blogs/hugo_kornelis/default.aspx
Hugo is co-founder and RD lead of perFact BV, a Dutch company that improves analysis methods and develops computer-aided tools to generate completely functional applications from the analysis deliverable. The platform for this development is SQL Server. In his spare time, Hugo likes to share and enhance his knowledge of SQL Server by frequenting newsgroups and forums, reading and writing books and blogs, and attending and speaking at conferences. Hugo is also a SQL Server MVP since 2006.
The following is a list of sponsors that helped fund the event.


{% extends "base.html" %} {% block subnav %}
{% endblock %} {% block content %}Use this in your error reporting
Use this in your libraries for posting
Where to send email (more details)
This is for reading API and RSS
You can also filter the RSS feed by any of the filters on the list page.
You can also filter the RSS feed by any of the filters on the group page.
For logs and admin, use Google App Engine console.
{% endblock %}


| 30 Jul 1992 |
Former national finance co-chairman for Clinton's election campaign President C. Victor Raiser II dies in a plane crash during a salmon fishing expedition in Dillingham, Alaska. Only the pilot and one of the six passengers survived after the plane crashed into a mountain. NTSB report |
| 24 Sep 1992 |
Democratic National Committee political director Paul Tulley is found dead in a Little Rock, Arkansas hotel room. |
| 9 Dec 1992 |
Interpreter for the dead Paula Grober dies in a single-vehicle car accident. |
| 18 May 1993 |
James Wilson apparently commits suicide. Allegedly connected to Whitewater. |
| 19 May 1993 |
Four servicemen are killed on an inspection flight when their Blackhawk helicopter crashes in the woods near Quantico, Virginia. Maj. William Barcley, SSgt. Brian Haney, Capt. Scott Reynolds, and Marine Sgt. Timothy Sabel had flown President Bill Clinton to the USS Theodore Roosevelt during his visit to the aircraft carrier two months prior. Hence, the men qualify as former "Clinton bodyguards" and their untimely deaths should be interpreted as evidence that they were killed simply because they knew too much. |
| 20 Jun 1993 |
Deputy White House Counsel Vince Foster apparently commits suicide with an unnumbered pistol at Fort Marcy Park in Virginia. Foster's empty briefcase later turns up at the White House. But after it is searched again, it is miraculously found to contain his suicide note. |
| 30 Nov 1993 |
Clinton fundraiser Ed Willey is found dead in a Virginia forest with a gunshot wound to the head, an apparent suicide. |
| May 1994 |
Kathy Ferguson, ex-wife of Arkansas Trooper Danny Ferguson, is found dead in her living room with a gunshot wound to the head, an apparent suicide. |
| Jun 1994 |
Bill Shelton, Kathy Ferguson's fiancee, is found dead at her gravesite, an apparent suicide. |
| Jan 1991 |
Gandy Baugh, attorney for Dan Lassater (a friend of the Clintons), jumps out the window of a tall building. |
| 22 Jun 1993 |
Attorney Paul Wilcher is found dead on the toilet in his Washington apartment. No clear connection to Clinton. |
| 15 Aug 1993 |
Whitewater investigator Jon Parnell Walker jumps from the balcony of his Arlington, Virginia apartment. |
| 29 Nov 1996 |
The nude, bruised body of Barbara Wise is found in her office at the Commerce Department, where she was a staffer under Ron Brown. |
| 6 Jul 1997 |
Former White House intern and coffee shop night manager Mary Caitrin "Caity" Mahoney is murdered along with two of her coworkers, Emory Allen Evans and Aaron David Goodrich, at their Starbucks in Georgetown. Two years later, Carl Derick Cooper confesses to committing the murders during the course of a botched robbery. |


This point, of all those made, is the most salient. Payday lenders exist because for many people with poor credit, there are no other options. If a borrower has something of value to pawn, they could use a pawn broker - but for people struggling to get by, things of value may be too precious to pawn (the computer that a student uses for school; heirloom jewelry; the car used to get to work).
in-context


{% extends 'layout.html' %} {% block pageTitle %} Application could not be completed {% endblock %} {% block content %}
This may be because you:
You can apply to Healthy Start by either:
Phone lines are open 8am to 6pm Monday to Friday (except public holidays). Find out about call charges(opens in a new tab).
You can check your details by either:
What did you think of this service? (opens in a new window) (takes 30 seconds).


| Parameter   | Desriprion |
| W | the width of the matrix field |
| H | the height of the matrix field |
| S | number of discrete steps to be performed |
| I | initial configuration matrix, the starting configuration is a matrix of 0 and 1, where 0 is dead cell and 1 is alife cell |
| F | final configuration matrix, the ending configuration is a matrix of 0 and 1, where 0 is dead cell and 1 is alife cell |
| 0   | 1   | 0   |
| 0   | 0   | 1   |
| 1   | 1   | 1   |
| Correctness | Benchmark to test the correctness of the model implementation. The correctness is checked verifing that, starting with the given initial configuration and performing a certain amount of simulation steps the final configuration corresponds with a given final configuration |
W=2000, H=1000, S= 7987, I= a single glider positioned on the top-left of the field, F= a single glider matrix postioned on the bottom-right of the field |


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FROM : MR TUNDA USENI EMAIL ADDRESS<EMAIL_ADDRESS>URGENT BUSINESS PARTNERSHIP ATTENTION:PRESIDENT/C.E.O Dear Sir, My name is MR TUNDA USENI the eldest son of Rtd General JEREMAIAH. J. T. USENI who was the est. while Minister of the Federal Capital territory Abuja in the late General Sani Abacha\\\'s Regime of 1993- 1998. I am contacting you in a benevolent spirit; utmost confidence and trust to enable us provide a solution to a money transfer of $60M that is presently putting my entire family into great disarray. You may be quite surprised at my sudden contact to you but do not despair, I got your contact from a business site on the internet and following the information I gathered about you, I was convinced that you could be of assistance to me. So, decided to contact you at once due to the urgency required for us to immediately transfer the said funds out of the country. During the time my father was in the government with the late General Sani Abacha as the head of state, they were both involved in several deals that yielded Billions of Dollars. The prominent amongst the deals was monies that emanated from funds set aside for the importation of Arms and Ammunitions to boost the Nigerian Defense, funds set to embark on an oversea campaign to counter the United States action to put a stop to the self succession bid of the Abacha\\\\\\\'s government to retain power, and monies set aside to rehabilitate the ailing Nigerian Petroleum Refineries and the National Electric Power Authority which supplies Electricity to the entire nation. If you are conversant with world news, you would understand better. During this period my father was able to make some good money for himself and kept in his private bank accounts. The then head of state General Sani Abacha transferred his share of the money through a Lebanese businessman, Chagoury and a Jewish businessman, Mark Rissar to bank accounts overseas. Unfortunately, all the secrets were revealed by the investigation agencies set up by the successive governments and most of the Abacha\\\\\\\'s loots were traced and repatriated from the various accounts to the Federal Government Treasury. Out of the money my father made, he left the sum of N50 Million (Fifty Million Naira) in the CBN escrow account for further transfer into a foreign account and a sum of $60M (Sixty Million Dollars) was kept in a Private security firm here in Nigeria. Through the confessions made by the Abacha\\\'s Family, the N50 Million was recovered by the investigating agency from the CBN escrow account. But were unable to discover the $60M, which he kept in the vaults. The reason is because no names were used to lodge in the funds. Instead, he used PERSONAL IDENTIFICATION NUMBERS (PIN) and declared the contents as Bearer Bonds and Treasury Bills. Also the firm issued him with a certificate of deposit of the consignments. Note that I have these information in my custody. Right now, my father has been arrested and detained for interrogation. As the eldest son of my Father, I believe that I owe the entire family an obligation to ensure that the $60M is successfully transferred abroad for investment purposes. With the present situation, I cannot do it all by myself. It is based on this that I am making this contact with you. I have done a thorough homework and fine-tuned the best way to create you as the beneficiary to the funds and effect the transfer accordingly. Is rest assured that the modalities I have resolved to finalize the entire project guarantees our safety and the successful transfer of the funds. So, you will be absolutely right when you say that this project is risk free and viable. If you are capable and willing to assist, contact me at once via email for more details. Believe me, there is no one else we can trust again. All my fathers\\\' friends have deserted us after exploiting us on the pretence of trying to help my father. As it is said, \\\"it is at the time of problems that you know your true friends\\\". So long as you keep everything to yourself, we would definitely have no problems. For your assistance, I am ready to give you as much as 20% of the total funds after transfer and invest a reasonable percentage into any viable business you may suggest. Please, I need your assistance to make this happen and please; do not undermine it because it will also be a source of up liftment to you also. You have absolutely nothing to loose in assisting us instead, you have so much to gain. Awaiting your urgent and positive response. BEST REGARDS, MR TUNDA USENI --------------------- Free Email Service http://www.zapo.net/


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|
fuLisp
0.2.0
|
#include "config.h"
Go to the source code of this file.
Macros | |
| #define | SAFETY_HIGH 255 |
| Perform all safety tests. More... | |
| #define | SAFETY_LOW 0 |
| Perform no safety checks. More... | |
| #define | IF_SAFETY_HIGH(x) __IF_SAFETY_HIGH(x) |
| Execute code only if safety level is set to SAFETY_HIGH. More... | |
| #define | IF_SAFETY_CODE(x) __IF_SAFETY_CODE(x) |
| Compiles the code given if GENERATE_SAFE_CODE is set. More... | |
| #define | IF_NOT_SAFETY_CODE(c) __IF_NOT_SAFETY_CODE(c) |
| Compilse the given code if GENERATE_SAFE_CODE is not set. More... | |
| #define | SET_SAFETY_LEVEL(x) __SET_SAFETY_LEVEL(x) |
| Set safety level. More... | |
| #define | SET_SAFETY_LOW SET_SAFETY_LEVEL(SAFETY_LOW) |
| Set safety level to SAFETY_LOW. More... | |
| #define | SET_SAFETY_HIGH SET_SAFETY_LEVEL(SAFETY_HIGH) |
| Set safety level to SAFETY_HIGH. More... | |
| #define | malloc unsafe_malloc |
| #define | SAFE_MALLOC(noBytes) __SAFE_MALLOC(noBytes) |
| #define | SAFE_STRING_NEW(length) __SAFE_STRING_NEW(length) |
| Create new string. More... | |
| #define | SAFE_STRING_IS_TAINTED(str, len) __SAFE_STRING_IS_TAINTED(str, len) |
| Checks whether str is a string that has been tainted. More... | |
| #define | SAFE_STRING_RESET_TAINTED(str, len) __SAFE_STRING_RESET_TAINTED(str, len) |
| Recover a string that has been marked as TAINTED. More... | |
| #define | sprintf unsafe_sprintf |
| #define | SAFE_SPRINTF __SAFE_SPRINTF |
| Safe version of sprintf(3) . More... | |
| #define | SAFE_STRLEN(x, len) __SAFE_STRLEN(x, len) |
| strnlen(3) replacement as it is not available in C89 Its not always recommended to use this instead of strlen(3) ! More... | |
| #define | SAFE_STRCPY(d, s, len) __SAFE_STRCPY(d, s, len) |
| strlcpy(3) replacement as it is not available in C89 More... | |
| #define | SAFE_STRCMP(s1, s2, len) __SAFE_STRCMP(s1, s2, len) |
| strncmp(3) replacement as it is not available in C89 More... | |
| #define | __IF_SAFETY_HIGH(x) { if(safetyLevel == SAFETY_HIGH) {x}} |
| #define | __IF_SAFETY_CODE(x) {x;} |
| #define | __IF_NOT_SAFETY_CODE(c) |
| #define | __SET_SAFETY_LEVEL(x) {safetyLevel = x;} |
| #define | __SAFE_MALLOC(noBytes) safeMalloc(noBytes) |
| #define | __SAFE_STRING_NEW(length) stringNew(length) |
| #define | __SAFE_STRING_IS_TAINTED(str, len) stringIsTainted(str, len) |
| #define | __SAFE_STRING_RESET_TAINTED(str, len) do{str[len] = '\0';}while(0) |
| #define | __SAFE_SPRINTF safeSprintf |
| #define | __SAFE_STRLEN(x, len) safeStrlen(x, len) |
| #define | __SAFE_STRCPY(d, s, len) safeStrcpy(d, s, len) |
| #define | __SAFE_STRCMP(s1, s2, len) strcmp(s1, s2) |
Functions | |
| void * | safeMalloc (size_t noBytes) |
| char * | stringNew (size_t length) |
| int | stringIsTainted (char *str, size_t length) |
| int | safeSprintf (char *str, size_t length, const char *format,...) |
| size_t | safeStrlen (const char *str, size_t maxLen) |
| char * | safeStrcpy (char *dest, const char *src, size_t maxLen) |
Variables | |
| int | safetyLevel |
| This determines the number of safety checks that will be performed. More... | |
| #define __IF_NOT_SAFETY_CODE | ( | c | ) |
| #define __IF_SAFETY_CODE | ( | x | ) | {x;} |
| #define __IF_SAFETY_HIGH | ( | x | ) | { if(safetyLevel == SAFETY_HIGH) {x}} |
| #define __SAFE_MALLOC | ( | noBytes | ) | safeMalloc(noBytes) |
| #define __SAFE_SPRINTF safeSprintf |
| #define __SAFE_STRCMP | ( | s1, | |
| s2, | |||
| len | |||
| ) | strcmp(s1, s2) |
| #define __SAFE_STRCPY | ( | d, | |
| s, | |||
| len | |||
| ) | safeStrcpy(d, s, len) |
| #define __SAFE_STRING_IS_TAINTED | ( | str, | |
| len | |||
| ) | stringIsTainted(str, len) |
| #define __SAFE_STRING_RESET_TAINTED | ( | str, | |
| len | |||
| ) | do{str[len] = '\0';}while(0) |
| #define __SAFE_STRLEN | ( | x, | |
| len | |||
| ) | safeStrlen(x, len) |
| #define __SET_SAFETY_LEVEL | ( | x | ) | {safetyLevel = x;} |
| #define IF_NOT_SAFETY_CODE | ( | c | ) | __IF_NOT_SAFETY_CODE(c) |
Compilse the given code if GENERATE_SAFE_CODE is not set.
| #define IF_SAFETY_CODE | ( | x | ) | __IF_SAFETY_CODE(x) |
Compiles the code given if GENERATE_SAFE_CODE is set.
| #define IF_SAFETY_HIGH | ( | x | ) | __IF_SAFETY_HIGH(x) |
Execute code only if safety level is set to SAFETY_HIGH.
| #define malloc unsafe_malloc |
| #define SAFE_MALLOC | ( | noBytes | ) | __SAFE_MALLOC(noBytes) |
| #define SAFE_SPRINTF __SAFE_SPRINTF |
Safe version of sprintf(3) .
Should always be preferred to sprintf(3) / snprintf(3) Semtantics as sprintf(3) : int virtualStrlen = SAFE_SPRINTF(targetStr, FORMAT_STRING, ...)
| #define SAFE_STRCMP | ( | s1, | |
| s2, | |||
| len | |||
| ) | __SAFE_STRCMP(s1, s2, len) |
strncmp(3) replacement as it is not available in C89
| #define SAFE_STRCPY | ( | d, | |
| s, | |||
| len | |||
| ) | __SAFE_STRCPY(d, s, len) |
strlcpy(3) replacement as it is not available in C89
| #define SAFE_STRING_IS_TAINTED | ( | str, | |
| len | |||
| ) | __SAFE_STRING_IS_TAINTED(str, len) |
Checks whether str is a string that has been tainted.
| #define SAFE_STRING_NEW | ( | length | ) | __SAFE_STRING_NEW(length) |
Create new string.
| length | maximum length of string (excl. zero terminator) |
| #define SAFE_STRING_RESET_TAINTED | ( | str, | |
| len | |||
| ) | __SAFE_STRING_RESET_TAINTED(str, len) |
Recover a string that has been marked as TAINTED.
| #define SAFE_STRLEN | ( | x, | |
| len | |||
| ) | __SAFE_STRLEN(x, len) |
strnlen(3) replacement as it is not available in C89 Its not always recommended to use this instead of strlen(3) !
| #define SAFETY_HIGH 255 |
Perform all safety tests.
| #define SAFETY_LOW 0 |
Perform no safety checks.
| #define SET_SAFETY_HIGH SET_SAFETY_LEVEL(SAFETY_HIGH) |
Set safety level to SAFETY_HIGH.
| #define SET_SAFETY_LEVEL | ( | x | ) | __SET_SAFETY_LEVEL(x) |
Set safety level.
| #define SET_SAFETY_LOW SET_SAFETY_LEVEL(SAFETY_LOW) |
Set safety level to SAFETY_LOW.
| #define sprintf unsafe_sprintf |
| void* safeMalloc | ( | size_t | noBytes | ) |
| int safeSprintf | ( | char * | str, |
| size_t | length, | ||
| const char * | format, | ||
| ... | |||
| ) |
| char* safeStrcpy | ( | char * | dest, |
| const char * | src, | ||
| size_t | maxLen | ||
| ) |
| size_t safeStrlen | ( | const char * | str, |
| size_t | maxLen | ||
| ) |
| int stringIsTainted | ( | char * | str, |
| size_t | length | ||
| ) |
| char* stringNew | ( | size_t | length | ) |
| int safetyLevel |
This determines the number of safety checks that will be performed.


Workshop Description
Learning-based methods, and in particular deep neural networks, have emerged as highly successful and universal tools for image and signal recovery and restoration. They achieve state-of-the-art results on tasks ranging from image denoising, image compression, and image reconstruction from few and noisy measurements. They are starting to be used in important imaging technologies, for example in GEs newest computational tomography scanners and in the newest generation of the iPhone. They are also used in inverse problems beyond imaging, including for solving inverse problems arrising in communications, signal processing, and even on non-Euclidean data suchs as graphs.
The field has a range of theoretical and practical questions that remain unanswered, including questions about guarantees, robustness, architectural design, the role of learning, domain specific applications, and more. This virtual workshop aims at bringing together theoreticians and practitioners in order to chart out recent advances and discuss new directions in deep learning-based approaches for solving inverse problems in the imaging sciences and beyond.
How to attend the workshop
The workshop is livestreamed at the NeurIPS workshop webpage. To access this website you need to register for the conference at https://neurips.cc/ and be logged in.
The livestream will play the talks, and each of the talks is followed by a live discussion. You can attend the live discussion either through the live stream or you can join the zoom session. Questions should be asked either through rocketchat or in the chat function in the zoom session, and a co-organizer will moderate.
During the designated discussion sessions you can talk to the respective speakers in gather.town.
The poster session is also on gather.town. The gather.town link is accessible only when logged in at neurips.cc and registered for the conference.
Schedule
The workshop schedule is aligned with 7:55 AM to 4 PM PT; please see this converter for conversion to your specific time zone.
| Time (PST) | Event |
|---|---|
| 7:55 | Opening Remarks |
| 8:00 | Alex Dimakis (UT Austin) Talk |
| 8:30 | Muyinatu Bell (John Hopkins University) Talk |
| 9:00 | Contributed talk 1: Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D Desai, John M. Pauly, Shreyas Vasanawala, Morteza Mardani, Mert Pilanci: Greedy Learning for Large-Scale Neural MRI Reconstruction |
| 9:15 | Contributed talk 2: Alireza Naderi, Yaniv Plan: Beyond Independent Measurements: General Compressed Sensing with GNN Application |
| 9:30 | Break and Discussion with Alex Dimakis and Muyinatu Bell at gather.town |
| 10:00 | Contributed talk 3: Eric Markley, Fanglin Linda Liu, Michael Kellman, Nick Antipa, Laura Waller: Physics-Based Learned Diffuser for Single-shot 3D Imaging |
| 10:15 | Kerstin Hammernik (TUM) Talk |
| 10:45 | Carola Schönlieb (University of Cambridge) Talk |
| 11:15 | Break and discussion with Kerstin Hammernik and Carola Schönlieb at gather.town |
| 11:45 | Break |
| 12:45 | Poster session at gather.town |
| 2:00 | Gordon Wetzstein (Stanford) Talk |
| 2:30 | Stan Osher (UCLA) Talk |
| 3:00 | Jonas Adler (DeepMind) Talk |
| 3:30 | Discussion with Gordon Wetzstein, Stan Osher, and Jonas Adler at gather.town |
| 4:00 | End of official program |
Speakers
| Jonas Adler DeepMind |
Muyinatu Bell John Hopkins University |
Alex Dimakis UT Austin |
| Kerstin Hammernik Technical University of Munich |
Stan Osher UCLA |
Carola Schönlieb Cambridge University |
| Gordon Wetzstein Stanford University |
Accepted papers
All accepted papers are available on openreview:
-
A Closer Look at Reference Learning for Fourier Phase Retrieval
Tobias Uelwer, Nick Rucks, Stefan Harmeling -
Bayesian Inference in Physics-Based Nonlinear Flame Models
Maximilian L. Croci, Ushnish Sengupta, Matthew P Juniper -
Beyond Independent Measurements: General Compressed Sensing with GNN Application
Alireza Naderi, Yaniv Plan -
DARTS for Inverse Problems: a Study on Stability
Jonas Geiping, Jovita Lukasik, Margret Keuper, Michael Moeller -
Deep subspace learning for efficient reconstruction of spatiotemporal imaging data
Christopher Michael Sandino, Frank Ong, Siddharth Srinivasan Iyer, Adam Bush, Shreyas Vasanawala -
Efficient posterior inference & generalization in physics-based Bayesian inference with conditional GANs
Deep Ray, Dhruv V Patel, Harisankar Ramaswamy, Assad Oberai -
Functional Response Conditional Variational Auto-Encoders for Inverse Design of Metamaterials
Che Wang, Yuhao Fu, Ke Deng, Chunlin Ji -
Greedy Learning for Large-Scale Neural MRI Reconstruction
Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D Desai, John M. Pauly, Shreyas Vasanawala, Morteza Mardani, Mert Pilanci -
Invertible Learned Primal-Dual
Jevgenija Rudzusika, Buda Bajic, Ozan Öktem, Carola-Bibiane Schönlieb, Christian Etmann -
Learning convex regularizers satisfying the variational source condition for inverse problems
Subhadip Mukherjee, Carola-Bibiane Schönlieb, Martin Burger -
Learning Lipschitz-Controlled Activation Functions in Neural Networks for Plug-and-Play Image Reconstruction Methods
Pakshal Bohra, Dimitris Perdios, Alexis Goujon, Sébastien Emery, Michael Unser -
Learning Structured Sparse Matrices for Signal Recovery via Unrolled Optimization
Jonathan Sauder, Martin Genzel, Peter Jung -
Likelihood-Free Inference in State-Space Models with Unknown Dynamics
Alexander Aushev, Thong Anh Tran, Henri Pesonen, Andrew Howes, Samuel Kaski -
Matching Plug-and-Play Algorithms to the Denoiser
Saurav K Shastri, Rizwan Ahmad, Christopher Metzler, Philip Schniter -
Multi-Task Accelerated MR Reconstruction Schemes for Jointly Training Multiple Contrasts
Victoria Liu, Kanghyun Ryu, Cagan Alkan, John M. Pauly, Shreyas Vasanawala -
Near-Exact Recovery for Sparse-View CT via Data-Driven Methods
Martin Genzel, Ingo Gühring, Jan Macdonald, Maximilian März -
NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction
Liyue Shen, John M. Pauly, Lei Xing -
PANOM: Automatic Hyper-parameter Tuning for Inverse Problems
Tianci Liu, Quan Zhang, Qi Lei -
Photoacoustic imaging with conditional priors from normalizing flows
Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann -
Photon-Limited Deblurring using Algorithm Unrolling
Yash Sanghvi, Abhiram Gnanasambandam, Stanley Chan -
Physics-Based Learned Diffuser for Single-shot 3D Imaging
Eric Markley, Fanglin Linda Liu, Michael Kellman, Nick Antipa, Laura Waller -
PLUGIn-CS: A simple algorithm for compressive sensing with generative prior
Babhru Joshi, Xiaowei Li, Yaniv Plan, Ozgur Yilmaz -
ReFIn: A Refinement Approach for Video Frame Interpolation
Saikat Dutta, Anurag Mittal -
Robust Compressed Sensing MR Imaging with Deep Generative Priors
Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alex Dimakis, Jonathan Tamir -
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Yang Song, Liyue Shen, Lei Xing, Stefano Ermon -
Sparse deep computer-generated holography for optical microscopy
Alex Liu, Yi Xue, Laura Waller -
SSFD: Self-Supervised Feature Distance as an MR Image Reconstruction Quality Metric
Philip M Adamson, Beliz Gunel, Jeffrey Dominic, Arjun D Desai, Daniel Spielman, Shreyas Vasanawala, John M. Pauly, Akshay Chaudhari -
Zero-Shot Physics-Guided Deep Learning for Subject-Specific MRI Reconstruction
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akcakaya
Organizers
| Paul Hand Northeastern University |
Reinhard Heckel Technical University of Munich |
Christopher Metzler University of Maryland |
| Mahdi Soltanolkotabi University of Southern California |
Rebecca Willett University of Chicago |
Call for Papers and Submission Instructions
We invite researchers to submit anonymous papers of up to 4 pages (excluding references and appendices) which will be considered for contributed workshop papers. No specific formatting is required. Authors are encouraged to use the NeurIPS style file, but they may use any other style as long as it has standard font size (11pt) and margins (1in).
Submission at OpenReview is open now until the submission deadline on September 26, 2021.
We welcome all submissions in the intersection of inverse problems and deep learning, including but not limited to submissions on the following topics:
-
Deep learning based approaches can make drastic reconstruction errors and may introduce biases. How common are such reconstruction problems, can they be alleviated, and if yes, how?
-
Deep learning based approaches often lack the guarantees of the traditional physics based methods. What theoretical results are necessary and possible?
-
Coordinate-based signal representations (e.g., NeRF and SIREN) and untrained convolutional neural networks have shown that neural networks alone, without any learning, can give excellent reconstruction performance. Is it possible to achieve state-of-the art performance without or little training data?
Important Dates
- Submission Deadline:
September 17, 2021extended until September 26, 2021, AoE (this extension is final). - Notification of acceptance: October 15, 2021.
- SlidesLive upload for speaker videos: November 1, 2021
- Workshop: Monday December 13, 2021.
Please email<EMAIL_ADDRESS>with any questions.


SHAP Feature Importance¶
-
ExpyBox.
shap_feature_importance
()¶ Create dialog for shap summary plot, i.e. feature importance based on Shapley values
- Returns
None
Method parameters¶
See shap parameters.
Additional parameter:
- Sample size
Number of instances from train data to use for calculating mean shap value for each feature.