A let variable declared in a file, or in a separate script
tag doesn't get block scoped to that file or script. Only if
enclosed in an explicit block (around the file, or around some
scope above the usage) will the let-declared variable not be
available globally.
However, part II, a variable declared with let is NOT a property
of the global object, so window.letVariable
would be
undefined


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The axis model consists of the controller, the motor including current controller and the gearbox including gear elasticity and bearing friction. The only difference to the axis model of joints 4,5,6 (= model axisType2) is that elasticity and damping in the gear boxes are not neglected.
The input signals of this component are the desired angle and desired angular velocity of the joint. The reference signals have to be "smooth" (position has to be differentiable at least 2 times). Otherwise, the gear elasticity leads to significant oscillations.
Default values of the parameters are given for the axis of joint 1.


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Project Wyvern is considering porting the Wyvern cryptocurrency to an ERC20 token. For background please see Project Wyvern - The Plan. For information about what the WYV token will be used for please see token.projectwyvern.com. We think this is the path most likely to lead to long-term success - but the decision, as stakeholders, is yours, and we'll follow the community consensus - we'll only proceed if more than 50% of the total Wyvern currently in existence approves the proposal. This voting protocol is trustless - if you'd like, you can verify the results yourself, check out the code here.
Wyvern in favor:
Wyvern against:
Total Wyvern voting:
In order to vote, sign the message "true", to declare that you support the ERC20 port, or "false", to declare that you do not support it, with your Wyvern address, then enter the signature and your vote below. It will take the webpage a few seconds to update.


RSDAsyncActionController
public protocol RSDAsyncActionController : class, NSObjectProtocol
A controller for an async action configuration.
-
Delegate callback for handling action completed or failed.
Declaration
Swift
weak var delegate: RSDAsyncActionControllerDelegate?
-
The status of the controller.
Declaration
Swift
var status: RSDAsyncActionStatus
-
Is the action currently paused?
Declaration
Swift
var isPaused: Bool
-
The last error on the action controller.
Note
Under certain circumstances, getting an error will not result in a terminal failure of the controller. For example, if a controller is both processing motion and camera sensors and only the motion sensors failed but using them is a secondary action.Declaration
Swift
var error: Error?
-
Results for this action controller.
Declaration
Swift
var result: RSDResult?
-
The configuration used to set up the controller.
Declaration
Swift
var configuration: RSDAsyncActionConfiguration
-
The associated task path to which the result should be attached.
Declaration
Swift
var taskPath: RSDTaskPath
-
Available for watchOS.
This method should be called on the main thread with the completion handler also called on the main thread. This method is intended to allow the controller to request any permissions associated with this controller before the step change happens.
On an Apple watch, authorization handling is managed by using a handshake request that requires opening the paired phone and responding to the authorization on the phone. This is a cumbersome UX that must be handled using the app delegate so it is recommended that the architecture for apps that use the watch include authorization handling though the iPhone app prior to running a task on the watch.
Remark
The controller should call the completion handler with an
Error
if authorization failed. Whether or not the completion handler includes a non-nil result that includes the authorization status, is up to the developers and researchers using this controller as a tool for gathering information for their study. -
Available for iOS and tvOS.
This method should be called on the main thread with the completion handler also called on the main thread. This method is intended to allow the controller to request any permissions associated with this controller before the step change happens.
It is the responsibility of the controller to manage the display of any alerts that are not controlled by the OS. The
viewController
parameter is the view controler that should be used to present any modal dialogs.Note
The calling view controller or application delegate should block any UI presentation changes until after the completion handler is called to ensure that any modals presented by the async controller or the OS aren’t swallowed by other UI events.
Remark
The controller should call the completion handler with an
Error
if authorization failed. Whether or not the completion handler includes a non-nil result that includes the authorization status, is up to the developers and researchers using this controller as a tool for gathering information for their study.Declaration
Swift
func requestPermissions(on viewController: UIViewController, _ completion: @escaping RSDAsyncActionCompletionHandler)
Parameters
viewController
The view controler that should be used to present any modal dialogs.
completion
The completion handler.
-
Start the asynchronous action with the given completion handler.
Note
The handler may be called on a background thread.Declaration
Swift
func start(_ completion: RSDAsyncActionCompletionHandler?)
Parameters
completion
The completion handler to call once the controller is started.
-
Pause the action. Ignored if not applicable.
Declaration
Swift
func pause()
-
Resume the action. Ignored if not applicable.
Declaration
Swift
func resume()
-
Stop the action with the given completion handler.
Note
The handler may be called on a background thread.Declaration
Swift
func stop(_ completion: RSDAsyncActionCompletionHandler?)
Parameters
completion
The completion handler to call once the controller has processed its results.
-
Cancel the action.
Declaration
Swift
func cancel()
-
Let the controller know that the task will move to the given step.
Declaration
Swift
func moveTo(step: RSDStep, taskPath: RSDTaskPath)
Parameters
step
The step that will be presented.
taskPath
The current state of the task.


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05.31.18
After watching Ohio football go through spring practice, five players appeared capable of making a significant leap and contributing next season for the Bobcats. Let’s look at who they are:
AJ Ouellette, the Bobcats’ leading rusher who reached the 1,000 yard mark a season ago, is back. With the graduation of No. 2 back Dorian Brown, however, Irons could take on a role similar to two years ago.
Irons sat out last season because of off-the-field disciplinary issues. The season before, he and Brown shared the bulk of the carries due to Ouellette’s season-ending injury in the opening game of the season.
In 2017, Irons finished the season with 439 yards on 95 carries, including five touchdowns. He has the capability of being a faster threat than Ouellette, and with a season away from playing the game, there shouldn’t be anything to hold back.
This spring, Irons was one of the few Bobcat running backs able to see live contact time during drills, due to Ouellette and Julian Ross still recovering from injuries from the season.
The Bobcats will enter the 2018 season with just one returner from their front seven and a spot to fill at every defensive line position.
Ogun-Semore, a 6-foot-5 defensive end, caught attention during the spring, but particularly Ohio’s abridged version of a spring game. In just 60 live scrimmage plays, Ogun-Semore delivered two sacks, two quarterback hurries and a forced fumble.
“We’re looking for a lot of those younger guys to rise up and start proving themselves,” Ohio head coach Frank Solich said.
Ogun-Semore showed his worth and if a successful summer follows, his name could be called often in the fall.
Blake Nissen | PHOTO EDITOR
Ohio's Quarterback Nathan Rourke prepares to throw the ball during Ohio's homecoming game against Central Michigan University on October 7, 2017. The Bobcats lost 23-26.
Papi White has shined for the Bobcats the past three years, coming out of the backfield and in the slot position. But as the redshirt senior prepares for his last season, Ohio will have to face life post-White.
In spring camp, Cox showed glimpses of the plays he can make, such as a 26-yard reception in one of the Bobcats’ scrimmages.
Cox seems to be the apparent heir to White’s role along with incoming freshman Jerome Buckner. Cox has the potential to make a name for himself this year, a taller version of White, he can still match the latter’s speed. For Ohio, the key this year with Cox is to make sure he gets his share of reps and hopefully makes them count.
One of the only holes in the Bobcats’ offense is at the tight end position. Ohio lost four-year starter Troy Mangen, who signed a free-agent contract with the Atlanta Falcons, and Mason Morgan to graduation. The Bobcats showed multiple packages with two tight ends last season, used to optimize the running attack. Ohio’s ideal tight end can block well and catch the football on passing downs.
Luehrman seems capable of filling one of those roles. He saw minimal playing time last season, but he was on the travel roster for special teams. A native of Athens, he caught passes in high school from Joe Burrow.
He didn’t officially join the roster until January of his freshman year, too. It’s a process referred to as ‘Gray-shirting’ in college football. He worked out on his own, went to classes and, in general, was a full-time college students, but he was not recognized as part of the roster until January. Ohio didn’t hesitate to do so because he could learn behind veterans Morgan and Mangen.
This spring, the redshirt sophomore saw time with the first-team offense. The Bobcats aren’t worried about putting points on the board in the fall, they know they have the skills to do so. They just want to be sure they have the right guys to block for their stable of running backs, and Luehrman will be a large cog in the engine.
With the loss of the starters in the front seven, Ohio knew it was going to need to add depth, too. Instead of trying to bring in more freshmen to replace the holes, the Bobcats opted to go the junior college route.
So far, it's worked.
Defensive lineman Baker, a product of East Mississippi Community College, joined the Bobcats as an early enrollee in January and shined during spring camp. He entered camp with another early enrollee: rising junior college transfer, Zach Burks, another defensive lineman.
At 6-foot-3 and 275 pounds, Baker’s navigating through the depth chart and with a solid fall camp, could find himself as a starter in the fall.
If Baker can help the Bobcats stop the run, something the program has taken pride in during recent years, and put pressure on the quarterback, it could answer some questions for Ohio.
“They both, I believe, have the ability to help us right away,” Solich said.
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Comments
-
Greg Hurrell
Created
,
edited
(In reply to comment #0)
My feature request is to allow the floating window being on top of everything at all times to be an option. If unchecked it would always show on the desktop but not get covered by documents and application windows.
It may be that you can already do what you want if you check out this feature:
[Feature] New "power user" feature (accessible from command-line), display floater on desktop. To activate, enter "defaults write org.wincent.Synergy desktopFloater -bool true" in the Terminal and restart Synergy Classic. To deactivate, enter "defaults write org.wincent.Synergy desktopFloater -bool false".
That text was taken from:
https://wincent.com/a/products/synergy-classic/history/
So basically your request comes down to "upgrading" this from a "hidden" command-line only feature to a proper preference with a GUI. I'm rewording the Summary to reflect that.
Is it Intel native?
Yes.
Add a comment
Comments are now closed for this issue.


Another day, another successful lightning talk about @shoooesrb. ⚡⚡⚡ Shoes on!!!
6/3/2014, 9:52:24 PM
Favs: 4
Retweets: 1
link--- layout: tweet ---
Another day, another successful lightning talk about @shoooesrb. ⚡⚡⚡ Shoes on!!!
6/3/2014, 9:52:24 PM
Favs: 4
Retweets: 1
link


Homicide investigators called in after man dies following ‘disturbance’ in Surrey
Surrey RCMP don’t believe the incident was random or connected to gang conflict
by Amy ReidHomicide investigators have been called in after a man died following an incident in Surrey Monday night.
Surrey RCMP were called to the 10700-block of 124th Avenue just before 5 p.m. on Nov. 11 to a report of a “disturbance.”
Officers found a man suffering from “critical injuries.”
Police say despite attempts to revive him, the man died of his injuries.
Surrey RCMP say they don’t believe the incident was random or connected to gang conflict.
Police haven’t released any other details, such as what the man’s injuries were or how he was hurt.
Anyone with information is asked to call the IHIT information line at 1-877-551-IHIT (4448) or by email at<EMAIL_ADDRESS>To remain anonymous, contact Crime Stoppers at 1-800-222-TIPS (8477) or solvecrime.ca.


andrew_gelman_stats andrew_gelman_stats-lda knowledge-graph by maker-knowledge-mining
topicId: wordWeight*wordName (topN-words)
topic #0: 0.011*spouses + 0.010*jeremy + 0.010*scope + 0.010*materials + 0.008*pelham + 0.008*definitions + 0.008*simonsohn + 0.007*freese + 0.007*alice + 0.006*socialize
topic #1: 0.012*listen + 0.009*download + 0.008*coffee + 0.007*bill + 0.007*alive + 0.007*adams + 0.006*outdoor + 0.006*baseball + 0.006*wilson + 0.006*james
topic #2: 0.011*publication + 0.009*parents + 0.007*production + 0.007*variation + 0.007*weighting + 0.006*children + 0.006*sports + 0.006*sex + 0.006*species + 0.005*respond
topic #3: 0.009*easterbrook + 0.009*tim + 0.008*maurizio + 0.006*neglected + 0.006*transferable + 0.005*answered + 0.005*struggling + 0.005*billions + 0.005*ubiquitous + 0.004*imagination
topic #4: 0.029*names + 0.013*forensic + 0.007*girolami + 0.007*germany + 0.007*linguist + 0.005*pi + 0.005*reviewing + 0.005*interventions + 0.005*forums + 0.004*misses
topic #5: 0.009*nate + 0.008*election + 0.008*polls + 0.008*chart + 0.008*frequency + 0.007*head + 0.007*soft + 0.007*wang + 0.006*axis + 0.006*bought
topic #6: 0.012*survival + 0.008*destruction + 0.008*mammography + 0.008*gary + 0.007*prostate + 0.007*holmes + 0.007*plant + 0.007*gates + 0.006*jumping + 0.006*beneficial
topic #7: 0.008*puerto + 0.008*details + 0.008*commented + 0.007*mess + 0.007*scienceopen + 0.006*earnings + 0.006*exchangeability + 0.006*scarily + 0.006*sfv + 0.006*intercept
topic #8: 0.013*sexual + 0.010*finish + 0.008*bimodal + 0.007*lognormal + 0.006*nobel + 0.005*discoveries + 0.005*rain + 0.005*sufficiently + 0.005*reproduced + 0.005*mechanics
topic #9: 0.017*vote + 0.011*publication + 0.010*million + 0.010*list + 0.008*deaths + 0.008*benefit + 0.008*fallacy + 0.007*spamming + 0.007*savvy + 0.007*bet
topic #10: 0.026*press + 0.013*releases + 0.012*map + 0.011*candies + 0.011*unreplicable + 0.008*bag + 0.008*sends + 0.007*leap + 0.007*mood + 0.007*smallish
topic #11: 0.022*tomorrow + 0.015*calibration + 0.011*bed + 0.011*exam + 0.009*manipulation + 0.007*pace + 0.006*scaled + 0.005*williams + 0.004*dimensionality + 0.004*blogroll
topic #12: 0.013*rojas + 0.012*hurricane + 0.010*award + 0.009*postmodernism + 0.006*tasks + 0.005*boss + 0.005*evaluate + 0.005*google + 0.005*codes + 0.005*unemployed
topic #13: 0.008*analysts + 0.008*boring + 0.008*constraint + 0.008*implemented + 0.007*south + 0.007*cleaning + 0.007*parody + 0.006*bath + 0.006*kennedy + 0.006*movie
topic #14: 0.012*viz + 0.011*participation + 0.011*yet + 0.011*nuts + 0.011*saga + 0.010*methodology + 0.008*geometric + 0.008*retire + 0.008*https + 0.008*backstory
topic #15: 0.013*journal + 0.013*psychological + 0.010*journals + 0.009*talking + 0.008*publishing + 0.008*peer + 0.007*publish + 0.007*scientific + 0.007*colleague + 0.006*central
topic #16: 0.007*doesn + 0.006*scientific + 0.006*change + 0.006*various + 0.006*talk + 0.006*page + 0.005*journal + 0.005*comes + 0.005*original + 0.005*free
topic #17: 0.020*heller + 0.019*mic + 0.014*structural + 0.012*gorfine + 0.009*univariate + 0.008*relationships + 0.007*tibshirani + 0.007*rob + 0.006*http + 0.005*mathematicians
topic #18: 0.010*dear + 0.010*normality + 0.010*paris + 0.010*samuelson + 0.009*pubmed + 0.008*morris + 0.007*sally + 0.007*food + 0.007*douthat + 0.006*advise
topic #19: 0.009*jacobs + 0.008*william + 0.007*enabling + 0.007*swiss + 0.006*prepare + 0.005*reliably + 0.005*hypothetical + 0.005*manage + 0.005*possess + 0.004*fulfill
topic #20: 0.014*intervals + 0.014*sister + 0.013*promotion + 0.012*ben + 0.012*confidence + 0.010*canonical + 0.009*visiting + 0.008*marc + 0.007*forecasts + 0.006*hill
topic #21: 0.013*researchers + 0.010*null + 0.009*seen + 0.008*asked + 0.007*experience + 0.007*causes + 0.007*relative + 0.006*application + 0.006*replication + 0.006*list
topic #22: 0.011*exciting + 0.010*fire + 0.010*tesla + 0.009*evolution + 0.007*radio + 0.007*mendelssohn + 0.007*god + 0.007*future + 0.006*smoking + 0.006*holding
topic #23: 0.013*florida + 0.010*date + 0.008*religion + 0.007*metrics + 0.007*biostatistics + 0.007*hire + 0.006*wall + 0.006*spline + 0.005*tautology + 0.005*touches
topic #24: 0.008*stan + 0.007*prior + 0.006*graph + 0.006*effects + 0.006*might + 0.006*effect + 0.005*thought + 0.005*case + 0.004*sure + 0.004*put
topic #25: 0.015*steigler + 0.006*cards + 0.005*morey + 0.005*dying + 0.005*weird + 0.004*goodwin + 0.004*diseases + 0.004*tips + 0.004*christopher + 0.004*strain
topic #26: 0.009*spagat + 0.008*iraq + 0.008*noon + 0.006*fishy + 0.006*image + 0.005*dept + 0.005*inquiry + 0.005*hilarious + 0.004*blair + 0.002*linzer
topic #27: 0.015*neyman + 0.013*fisher + 0.010*damn + 0.009*blogs + 0.009*correspondent + 0.008*brown + 0.008*buy + 0.007*editing + 0.007*establishment + 0.006*scaling
topic #28: 0.019*hauser + 0.011*offhand + 0.010*yeah + 0.008*assessment + 0.007*seek + 0.006*homes + 0.006*slightly + 0.005*differently + 0.005*jonah + 0.005*pursuing
topic #29: 0.014*lehrer + 0.009*ibm + 0.007*radford + 0.007*speakers + 0.006*rip + 0.006*cook + 0.005*astrobites + 0.005*household + 0.004*wasted + 0.004*searched
topic #30: 0.008*nba + 0.008*malaria + 0.007*bugs + 0.007*desire + 0.007*drinking + 0.007*tukey + 0.007*insider + 0.006*baytch + 0.006*india + 0.005*hopefully
topic #31: 0.015*ferguson + 0.009*causality + 0.008*anthony + 0.008*curriculum + 0.008*pearson + 0.008*invade + 0.008*arm + 0.008*audience + 0.007*center + 0.007*sisters
topic #32: 0.009*memory + 0.008*austin + 0.008*trolls + 0.007*yau + 0.006*disliked + 0.006*filling + 0.005*blind + 0.005*wyatt + 0.005*trolling + 0.005*format
topic #33: 0.007*limiting + 0.007*gold + 0.005*pushback + 0.005*understandings + 0.004*considers + 0.004*catalog + 0.004*suffer + 0.003*regularized + 0.003*opponents + 0.003*kuhn
topic #34: 0.022*kaiser + 0.016*johnson + 0.014*val + 0.011*fung + 0.010*homework + 0.009*pystan + 0.009*ajps + 0.007*throw + 0.006*growth + 0.006*housework
topic #35: 0.010*harkonen + 0.007*output + 0.007*shifting + 0.006*placebo + 0.006*greg + 0.006*boundary + 0.006*block + 0.006*sticks + 0.006*adjudicate + 0.006*departments
topic #36: 0.012*kasparov + 0.011*keen + 0.009*ci + 0.009*frey + 0.009*jags + 0.008*prediv + 0.008*sensitive + 0.008*ghitza + 0.008*narrative + 0.006*chain
topic #37: 0.010*microfoundations + 0.008*roller + 0.008*blinded + 0.006*burnham + 0.006*sethi + 0.005*graphically + 0.005*woody + 0.005*lr + 0.004*rajiv + 0.004*streets
topic #38: 0.018*forum + 0.010*housing + 0.007*car + 0.007*poverty + 0.006*clinicians + 0.005*respondent + 0.004*episode + 0.004*seq + 0.004*angry + 0.003*drinkers
topic #39: 0.005*finnish + 0.005*lineplot + 0.005*pc + 0.005*sharad + 0.004*dotplot + 0.004*gaming + 0.004*hendry + 0.004*hoekstra + 0.004*rink + 0.004*reserve
topic #40: 0.018*girls + 0.011*crisis + 0.010*midday + 0.007*penalty + 0.007*seconds + 0.006*pushing + 0.006*algebra + 0.006*boy + 0.006*pat + 0.006*glance
topic #41: 0.026*differential + 0.016*score + 0.014*basketball + 0.014*girl + 0.010*release + 0.010*height + 0.008*scale + 0.007*babies + 0.006*genetic + 0.006*discretization
topic #42: 0.014*stepwise + 0.013*leek + 0.008*summers + 0.008*london + 0.007*lecture + 0.007*symmetric + 0.007*mix + 0.006*corrections + 0.006*collecting + 0.006*ready
topic #43: 0.035*tues + 0.008*release + 0.007*politicians + 0.007*disciplines + 0.007*assistant + 0.007*ovulation + 0.007*bristol + 0.006*centre + 0.006*refers + 0.006*copies
topic #44: 0.013*bug + 0.013*edlin + 0.011*stopping + 0.009*presentation + 0.009*rachel + 0.007*rule + 0.006*richest + 0.006*industry + 0.006*schutt + 0.005*yards
topic #45: 0.009*polarization + 0.007*rats + 0.007*income + 0.007*aggressive + 0.006*whites + 0.006*compilation + 0.005*partly + 0.005*clark + 0.005*consumers + 0.005*arthur
topic #46: 0.023*town + 0.009*coursera + 0.009*adding + 0.008*foster + 0.008*manuscript + 0.007*cocktail + 0.006*scalability + 0.006*honored + 0.005*orders + 0.004*wacky
topic #47: 0.034*mon + 0.032*sat + 0.028*hangout + 0.017*preregistration + 0.010*talk + 0.010*slides + 0.008*resolve + 0.006*labeled + 0.006*audience + 0.006*checklist
topic #48: 0.013*technology + 0.013*tl + 0.010*tech + 0.009*anaface + 0.008*late + 0.007*cannabis + 0.006*fat + 0.006*pachter + 0.006*lior + 0.006*illustration
topic #49: 0.016*freud + 0.013*minimax + 0.012*media + 0.012*sims + 0.011*innovation + 0.009*mo + 0.008*browser + 0.007*insignificant + 0.007*minute + 0.007*delay
topic #50: 0.011*forecasts + 0.010*allen + 0.006*racism + 0.006*peng + 0.005*straw + 0.005*harmful + 0.005*multinomial + 0.005*roc + 0.005*storable + 0.004*debt
topic #51: 0.010*conley + 0.009*increasing + 0.008*curves + 0.008*infovis + 0.007*transportation + 0.006*tufte + 0.006*decreasing + 0.006*rereading + 0.006*misc + 0.005*murder
topic #52: 0.012*food + 0.009*dean + 0.009*sd + 0.008*successfully + 0.008*heading + 0.007*dylan + 0.007*scheduled + 0.006*eckles + 0.006*inserted + 0.006*attacks
topic #53: 0.014*exercise + 0.012*seth + 0.011*weight + 0.010*threshold + 0.010*scenario + 0.009*replied + 0.007*loss + 0.006*nonparametric + 0.006*medicine + 0.006*ecology
topic #54: 0.013*url + 0.011*music + 0.011*fda + 0.009*chess + 0.008*prejudice + 0.007*accent + 0.006*loken + 0.006*glm + 0.005*device + 0.005*voice
topic #55: 0.010*bob + 0.008*democratic + 0.008*meetup + 0.008*gay + 0.008*analogy + 0.007*career + 0.007*reader + 0.007*voting + 0.007*crime + 0.007*genetic
topic #56: 0.018*oswald + 0.011*environmental + 0.010*problematic + 0.009*friday + 0.008*tuning + 0.008*deterministic + 0.007*omitted + 0.006*participating + 0.006*stochastic + 0.006*speed
topic #57: 0.016*alper + 0.014*tutorial + 0.010*opening + 0.009*stapel + 0.008*kosara + 0.007*diederik + 0.007*acting + 0.006*nuts + 0.006*krugman + 0.006*changed
topic #58: 0.008*lm + 0.006*goodness + 0.005*boundaries + 0.005*boxes + 0.005*happily + 0.004*lawsuit + 0.004*centuries + 0.004*saturation + 0.004*simulator + 0.003*corey
topic #59: 0.011*document + 0.011*simpson + 0.010*wegman + 0.010*wonderful + 0.009*discrimination + 0.009*davis + 0.008*fool + 0.008*recipients + 0.007*asymptotically + 0.006*width
topic #60: 0.008*english + 0.008*surgeon + 0.007*widening + 0.006*possessions + 0.005*surgeons + 0.005*shocks + 0.005*gill + 0.005*eigenvalues + 0.004*gawande + 0.003*inverse
topic #61: 0.017*tenure + 0.015*waic + 0.015*yup + 0.011*automatic + 0.010*educational + 0.008*kernel + 0.008*attainment + 0.007*dic + 0.006*deviance + 0.006*bay
topic #62: 0.015*sensing + 0.010*german + 0.009*unmodeled + 0.008*resume + 0.008*berri + 0.007*conversations + 0.006*touchdowns + 0.006*scandals + 0.005*supernatural + 0.005*dave
topic #63: 0.008*logit + 0.007*criticizing + 0.007*dealing + 0.007*nick + 0.007*steals + 0.007*republicans + 0.006*service + 0.006*headline + 0.006*suggestions + 0.005*bagnall
topic #64: 0.010*guido + 0.008*si + 0.007*pollster + 0.006*shapes + 0.005*imbens + 0.005*counterproductive + 0.005*idaho + 0.005*interactive + 0.004*hoping + 0.004*impeded
topic #65: 0.030*mrp + 0.020*de + 0.012*bh + 0.010*label + 0.009*rstan + 0.008*april + 0.008*citations + 0.008*buttice + 0.008*highton + 0.008*sqrt
topic #66: 0.011*create + 0.011*yellow + 0.009*beauty + 0.008*challenges + 0.007*parents + 0.007*europe + 0.007*typo + 0.007*daughters + 0.007*dull + 0.006*west
topic #67: 0.010*indignant + 0.008*yglesias + 0.007*grew + 0.005*wells + 0.004*mistrial + 0.004*drawings + 0.004*restraint + 0.004*willie + 0.004*invasive + 0.003*clicking
topic #68: 0.011*liberman + 0.011*primarily + 0.010*dense + 0.009*taste + 0.008*bootstrap + 0.008*cautious + 0.007*marital + 0.007*stats + 0.007*grand + 0.006*frustrated
topic #69: 0.010*twitter + 0.010*es + 0.009*mac + 0.008*spring + 0.008*lasso + 0.007*grad + 0.006*invasions + 0.006*bases + 0.006*chait + 0.006*lee
topic #70: 0.014*keith + 0.010*advancement + 0.007*rourke + 0.006*authorship + 0.006*trailer + 0.005*treatises + 0.005*nosek + 0.005*spouse + 0.005*poster + 0.004*brian
topic #71: 0.061*thurs + 0.047*wed + 0.008*talks + 0.006*cries + 0.006*announces + 0.005*ed + 0.005*wider + 0.005*horror + 0.004*dunson + 0.004*wagering
topic #72: 0.010*inequality + 0.010*nets + 0.010*identification + 0.010*sachs + 0.009*easterly + 0.008*teragram + 0.008*textbook + 0.007*marijuana + 0.007*zambia + 0.006*monthlong
topic #73: 0.017*users + 0.014*hipmunk + 0.009*expedia + 0.008*versus + 0.008*flight + 0.007*stan + 0.007*excited + 0.007*wade + 0.005*emcee + 0.005*developers
topic #74: 0.022*mankiw + 0.013*courtesy + 0.010*tax + 0.009*reviews + 0.007*scirev + 0.007*marginal + 0.005*doomsday + 0.005*publicly + 0.005*alfred + 0.005*rate
topic #75: 0.031*em + 0.016*bf + 0.010*warren + 0.007*hedge + 0.006*wasting + 0.006*religions + 0.005*mckee + 0.005*russell + 0.005*markov + 0.004*contributions
topic #76: 0.010*qui + 0.009*traffic + 0.008*physicist + 0.007*speculations + 0.007*mosaic + 0.007*income + 0.006*schwabish + 0.006*forgotten + 0.006*measurements + 0.006*basb
topic #77: 0.014*visualizations + 0.012*google + 0.010*microsoft + 0.010*structure + 0.010*speaking + 0.009*associations + 0.008*private + 0.008*looks + 0.008*duncan + 0.008*felix
topic #78: 0.017*enjoy + 0.009*entries + 0.008*instrument + 0.007*skin + 0.007*asymmetric + 0.006*bizarre + 0.005*genius + 0.005*coef + 0.004*awe + 0.004*desperately
topic #79: 0.012*interaction + 0.009*decomposition + 0.009*amy + 0.009*introduced + 0.008*anova + 0.008*components + 0.008*gaussian + 0.008*path + 0.008*aki + 0.006*compute
topic #80: 0.014*odds + 0.011*aleks + 0.010*xl + 0.006*genuinely + 0.006*nations + 0.006*rinaldi + 0.006*window + 0.006*blow + 0.005*actors + 0.004*suburban
topic #81: 0.021*cage + 0.018*monkey + 0.011*heckman + 0.010*violence + 0.010*tall + 0.008*roy + 0.008*incorporated + 0.008*catalina + 0.007*blogging + 0.007*anderson
topic #82: 0.011*hmc + 0.010*package + 0.010*tracy + 0.010*beall + 0.009*hamiltonian + 0.007*seminar + 0.007*profession + 0.006*murray + 0.006*consensus + 0.005*jordan
topic #83: 0.011*federal + 0.005*macro + 0.005*stops + 0.005*biases + 0.005*refuses + 0.005*gamed + 0.005*ryan + 0.005*tank + 0.004*abroad + 0.004*samantha
topic #84: 0.015*sparsity + 0.008*light + 0.008*county + 0.007*sampled + 0.007*reality + 0.007*updated + 0.006*finite + 0.006*procedure + 0.006*guidance + 0.006*continuing
topic #85: 0.019*ticket + 0.014*periods + 0.012*palko + 0.011*raymond + 0.010*evaluations + 0.009*fernando + 0.008*creative + 0.008*waxes + 0.008*matching + 0.007*murrell
topic #86: 0.009*bayes + 0.009*type + 0.009*student + 0.009*gladwell + 0.008*section + 0.008*number + 0.008*linear + 0.007*false + 0.006*languages + 0.006*election
topic #87: 0.013*lax + 0.012*equation + 0.010*phillips + 0.010*unwin + 0.010*antony + 0.007*frame + 0.007*societies + 0.007*evaluate + 0.007*purported + 0.006*enda
topic #88: 0.011*weights + 0.009*rank + 0.009*universal + 0.009*workshop + 0.008*overrated + 0.007*unclear + 0.007*pinker + 0.007*uninformative + 0.007*marry + 0.007*grades
topic #89: 0.024*sun + 0.008*players + 0.008*player + 0.007*affect + 0.007*matrix + 0.006*samples + 0.006*mixed + 0.006*reverse + 0.005*covariates + 0.005*played
topic #90: 0.009*beef + 0.009*hanson + 0.008*falls + 0.006*behind + 0.006*reform + 0.006*opposition + 0.006*patties + 0.006*ratings + 0.005*street + 0.005*robin
topic #91: 0.012*matrix + 0.011*bayesianism + 0.010*dennis + 0.010*mike + 0.009*novels + 0.008*convey + 0.007*vegetables + 0.006*brain + 0.006*behavioral + 0.005*share
topic #92: 0.023*unz + 0.013*ted + 0.011*jewish + 0.010*whassup + 0.008*hospital + 0.007*jews + 0.007*neat + 0.005*highlighting + 0.005*adjudicating + 0.004*achievers
topic #93: 0.010*obama + 0.009*fox + 0.006*fringe + 0.006*laws + 0.006*ass + 0.006*firms + 0.005*lesser + 0.005*cities + 0.005*organizations + 0.005*november
topic #94: 0.014*la + 0.012*utility + 0.011*demonstration + 0.008*rice + 0.007*base + 0.007*balf + 0.007*spelling + 0.007*spammer + 0.006*ff + 0.006*epidemiology
topic #95: 0.015*measurement + 0.013*color + 0.013*child + 0.009*death + 0.009*countries + 0.009*animals + 0.008*mortality + 0.007*plus + 0.006*six + 0.006*muted
topic #96: 0.011*indicator + 0.009*die + 0.008*essays + 0.007*letters + 0.007*manian + 0.007*govind + 0.007*principal + 0.006*nowadays + 0.005*gambling + 0.005*textbook
topic #97: 0.008*engineering + 0.008*fools + 0.008*leaders + 0.007*indicators + 0.006*jenkins + 0.005*unsolicited + 0.005*position + 0.005*stunned + 0.005*genome + 0.005*republic
topic #98: 0.036*fri + 0.015*spam + 0.013*whitaker + 0.012*baby + 0.010*journalism + 0.009*beat + 0.009*plagiarism + 0.008*name + 0.008*pilot + 0.008*pointer
topic #99: 0.006*data + 0.005*research + 0.004*paper + 0.004*bayesian + 0.004*statistics + 0.004*think + 0.004*model + 0.004*people + 0.004*one + 0.004*time
Latent Dirichlet allocation
In natural language processing, latent Dirichlet allocation (LDA) is a generative model that allows sets of observations to be explained by unobserved groups that explain why some parts of the data are similar. For example, if observations are words collected into documents, it posits that each document is a mixture of a small number of topics and that each word's creation is attributable to one of the document's topics. LDA is an example of a topic model and was first presented as a graphical model for topic discovery by David Blei, Andrew Ng, and Michael Jordan in 2003.
Topics in LDA
In LDA, each document may be viewed as a mixture of various topics. This is similar to probabilistic latent semantic analysis (pLSA), except that in LDA the topic distribution is assumed to have a Dirichlet prior. In practice, this results in more reasonable mixtures of topics in a document. It has been noted, however, that the pLSA model is equivalent to the LDA model under a uniform Dirichlet prior distribution.
For example, an LDA model might have topics that can be classified as CAT_related and DOG_related. A topic has probabilities of generating various words, such as milk, meow, and kitten, which can be classified and interpreted by the viewer as "CAT_related". Naturally, the word cat itself will have high probability given this topic. The DOG_related topic likewise has probabilities of generating each word: puppy, bark, and bone might have high probability. Words without special relevance, such as the (see function word), will have roughly even probability between classes (or can be placed into a separate category). A topic is not strongly defined, neither semantically nor epistemologically. It is identified on the basis of supervised labeling and (manual) pruning on the basis of their likelihood of co-occurrence. A lexical word may occur in several topics with a different probability, however, with a different typical set of neighboring words in each topic.
Each document is assumed to be characterized by a particular set of topics. This is akin to the standard bag of words model assumption, and makes the individual words exchangeable.
Model
With plate notation, the dependencies among the many variables can be captured concisely. The boxes are “plates” representing replicates. The outer plate represents documents, while the inner plate represents the repeated choice of topics and words within a document. M denotes the number of documents, N the number of words in a document. Thus:
α is the parameter of the Dirichlet prior on the per-document topic distributions,
β is the parameter of the Dirichlet prior on the per-topic word distribution,
\theta_i is the topic distribution for document i,
\phi_k is the word distribution for topic k,
z_{ij} is the topic for the jth word in document i, and
w_{ij} is the specific word.
The w_{ij} are the only observable variables, and the other variables are latent variables. Mostly, the basic LDA model will be extended to a smoothed version to gain better results .[citation needed] The plate notation is shown on the right, where K denotes the number of topics considered in the model and:
\phi is a K*V (V is the dimension of the vocabulary) Markov matrix each row of which denotes the word distribution of a topic.
The generative process behind is that documents are represented as random mixtures over latent topics, where each topic is characterized by a distribution over words. LDA assumes the following generative process for a corpus D consisting of M documents each of length N_i:
1. Choose \theta_i \, \sim \, \mathrm{Dir}(\alpha) , where i \in \{ 1,\dots,M \} and \mathrm{Dir}(\alpha) is the Dirichlet distribution for parameter \alpha
2. Choose \phi_k \, \sim \, \mathrm{Dir}(\beta) , where k \in \{ 1,\dots,K \}
3. For each of the word positions i, j, where j \in \{ 1,\dots,N_i \} , and i \in \{ 1,\dots,M \}
(a) Choose a topic z_{i,j} \,\sim\, \mathrm{Multinomial}(\theta_i).
(b) Choose a word w_{i,j} \,\sim\, \mathrm{Multinomial}( \phi_{z_{i,j}}) .
(Note that the Multinomial distribution here refers to the Multinomial with only one trial. It is formally equivalent to the categorical distribution.)
The lengths N_i are treated as independent of all the other data generating variables (q and z). The subscript is often dropped, as in the plate diagrams shown here.
Inference
Learning the various distributions (the set of topics, their associated word probabilities, the topic of each word, and the particular topic mixture of each document) is a problem of Bayesian inference. The original paper used a variational Bayes approximation of the posterior distribution;[1] alternative inference techniques use Gibbs sampling and expectation propagation.
Following is the derivation of the equations for collapsed Gibbs sampling, which means \varphis and \thetas will be integrated out. For simplicity, in this derivation the documents are all assumed to have the same length N_{}. The derivation is equally valid if the document lengths vary.
Applications, extensions and similar techniques
Topic modeling is a classic problem in information retrieval. Related models and techniques are, among others, latent semantic indexing, independent component analysis, probabilistic latent semantic indexing, non-negative matrix factorization, and Gamma-Poisson distribution.
The LDA model is highly modular and can therefore be easily extended. The main field of interest is modeling relations between topics. This is achieved by using another distribution on the simplex instead of the Dirichlet. The Correlated Topic Model follows this approach, inducing a correlation structure between topics by using the logistic normal distribution instead of the Dirichlet. Another extension is the hierarchical LDA (hLDA), where topics are joined together in a hierarchy by using the nested Chinese restaurant process. LDA can also be extended to a corpus in which a document includes two types of information (e.g., words and names), as in the LDA-dual model. Nonparametric extensions of LDA include the Hierarchical Dirichlet process mixture model, which allows the number of topics to be unbounded and learnt from data and the Nested Chinese Restaurant Process which allows topics to be arranged in a hierarchy whose structure is learnt from data.
As noted earlier, PLSA is similar to LDA. The LDA model is essentially the Bayesian version of PLSA model. The Bayesian formulation tends to perform better on small datasets because Bayesian methods can avoid overfitting the data. In a very large dataset, the results are probably the same. One difference is that PLSA uses a variable d to represent a document in the training set. So in PLSA, when presented with a document the model hasn't seen before, we fix \Pr(w \mid z)—the probability of words under topics—to be that learned from the training set and use the same EM algorithm to infer \Pr(z \mid d)—the topic distribution under d. Blei argues that this step is cheating because you are essentially refitting the model to the new data.
Variations on LDA have been used to automatically put natural images into categories, such as "bedroom" or "forest", by treating an image as a document, and small patches of the image as words; one of the variations is called Spatial Latent Dirichlet Allocation.
from wiki http://en.wikipedia.org/wiki/Latent_Dirichlet_allocation


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Neuroplasticity, promotes the idea that no one is stuck with a predetermined level intelligence, and just like any muscle it can be improved and grow with training and practice. If you’re aware that your brain can always be moulded and that there are skills to create the pathways, then you’ll be less likely to think that you can’t improve yourself, or that you can’t learn new things. Information that seems too difficult becomes less daunting as you’re aware that the constant practice will improve the connections required to understand.
I can apply this by thinking about the skill even when not performing physically or literally. For example, I am learning Spanish on apps and via the internet. When I’m not able to study for this, I can practice talking in my brain in the sentences I already know in Spanish back and forth in order to strengthen my memory recall for this. It’s similar to how muscles work, the more you work it out, the stronger it becomes. However, rather than a muscle being ripped and repairing to be stronger (as a reaction to your environment that your body deems necessary) your brain creates these connections as it understand that creating paths to learn these skills as a reaction to the environment of constant thought of practice or learning.
There are many ways you can improve your relationship with Neuroplasticity, including the following practices:
I found this quote below online, and I feel like it provides a good explanation as to why neuroplasticity is important for survival: “It refers to the physiological changes in the brain that happen as the result of our interactions with our environment. From the time the brain begins to develop in utero until the day we die, the connections among the cells in our brains reorganize in response to our changing needs. This dynamic process allows us to learn from and adapt to different experiences” – Celeste Campbell (n.d.). You can find more information here.
A growth mindset is the belief that you can improve and do better, rather than accepting your status quo and that you’ll be the same. It's the direct opposite of a fixed mindset, that suggests that everyone has a level of abilities, intelligence and talents and these will remain as a fixed trait. IQ tests support this type of theory, where your measure is determined by a number and is a fixed trait.
What I find surprising is that this does seem pretty obvious in theory, but I feel like it isn't used in practice. Schools still rely heavily on old fashioned grading and learning practices that don't seem to support the idea of a growth mindset. Also, when children are complimented on their work, we usually use trait compliments like "you're so smart". I would suggest that this isn't the best way to go as it may give them the reliance on that they are just naturally gifted and won't push themselves to learn. In addition, it could stiffle their motivation if their intelligence is questioned via a failing grade or if proven wrong. There are skills that can be used to influence a growth mindset instead, such as rather having failing grades, you could have grades that say ‘nearly there’ to promote a sense of progress and would influence motivation. This is better than straight fail grades, as these have no progress implication and influence a mindset that you’ll never change.
Going forward with my implementation of a growth mindset, I'm going to focus on a reward system that focuses on progress rather than quality. So during this course, I’ll reward myself for reaching my hours that I’ve outlined for myself and for showing improvement in my knowledge, more so than the feedback on my actual projects. Not that feedback isn't important as well, I just beleive showing progress is better than perfect results first time.
During my research I found this quote and I found it very helpful to my understanding of the growth mindset: This growth mindset is based on the belief that your basic qualities are things you can cultivate through your efforts. Although people may differ in every which way — in their initial talents and aptitudes, interests, or temperaments — everyone can change and grow through application and experience. You can find more about this here.


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--- layout: post title: Crochet! Crochet! date: 2009-03-24 08:34:50.000000000 +01:00 categories: [] tags: [] status: publish type: post published: true meta: _edit_last: '5236424' author: login: stricksucht email<EMAIL_ADDRESS>display_name: stricksucht first_name: '' last_name: '' ---
Well, my exam is over. I passed it. Though I'm having a bit of a hard time to be satisfied with what I achieved. But never mind...
Since I'm not able to knit riight now (the ungrateful wrist) I brought myself to finally continue crocheting my carpet. Yes, a carpet.. Yes, crochet. Two or three years ago, my Mom came home from work with a garbage bag (one of these huge ones) full of garnet yarn for me. I don't think there is a color I don't have a little ball of garnet yarn for. To be honest: With some colors I wasn't even sure if someone could wear that color as a garment... I looked at her blankly and asked her what I was to do with these tons of garnet yarn. And she suggested crocheting a carpet. So I went off to buy the biggest crochet hook available in the nearest LYS. I got a 7mm one which is quite an achievement if you knew the size of my home town (and the LYS ;)) and started crocheting. I don't like it very much, it's too simple and there are so many stitches that it takes an eternity to finish only one row - but if I'll ever be able to finish it, I will have a one-of-a-kind carpet! ;)


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BEFORE we begin our narrative on our heritage, I would like to dedicate the following story (author unknown) to our Tribe. The contents of this story tells about the storyteller's feeling and is in the best tradition of all Native Americans ability to carry on tribal tradition through story telling and keeping their heritage alive.
We are the chosen! My feelings are in each family there is one who seems called to find the ancestors, to put flesh on their bones and make them live again, to tell the family and tribal story and to feel that somehow they know and approve. To me doing genealogy is not a cold gathering of facts but instead, breathing life into all who have gone before. We are the story tellers of the tribe! All tribes have one! We have been called as it were by our Native American genes. Those who have gone before us cry out to us; tell our story. So we do.
In finding them, we somehow find ourselves. How many graves have I stood before now and cried? I have lost count. How many times have I told our ancestors, you have a wonderful family, you would be proud of us. How many times have I walked up to a grave and felt somehow there was love there for me? I cannot say.
It goes beyond just documenting facts, it goes to who I am and why do I do the things I do. It's about seeing a cemetery about to be lost forever to weeds and indifference and saying, I can't let this happen. The bones are bones of my bone and flesh of my flesh. It's doing something about it. It's about pride in what our ancestors were able to accomplish, how they contributed to what we are today. It's about respecting their hardships and losses, their never giving in or giving up, their determination to go on and build a life for their family.
It was a deep pride that they fought to make us a Nation. It was a deep and immense understanding that they were doing it for us, that we might be born who we are, that we might remember them. So we do. With love and caring and scribing each fact of of their existence, because we are them and they are us. So as a scribe called, I tell the story of our tribe and family.
That is why I do my family genealogy, and that is what calls those young and old to step up and put flesh on their bones.
What I will attempt to do is present a theory (based on various documents) on how the English Tapp's and how the Native American Tapp's were intermingled. To do this I used the Tapps that were presented in the Tapp Family Book by Lile, fulcher and Tapp. This book is very inaccurate and should never be used as a research guide. However the Tapps the book mentioned are real but not listed accurately. These Tapps were before 1719,the date our Native American Tapps came into being. ( When Elizabeth Taptico changed the name to Tapp upon William Taptico's death). It's close to being fact that this is the first concise bit of information that is available prior to 1719.
First, we do not have proof that Thomas Tapp married Mary Lewis, however we do have evidence that a Mary Tapp married a John Butcher, this has been assumed by the Liles Fulcher Tapp book that this was the widow of Thomas Tapp.
ACCORDING TO THE TAPP FAMILY BOOK
Thomas Tapp b@ 1628 d @ May 18, 1689, married Mary Lewis by 1655, b @ 1636 d after 1691.
CHILDREN:
We will state some facts and then list the sources. According to all extant records available, Thomas and Mary had one child. JOHN, can be identified thru various order book entry's that will be listed, later.
HENRY can not be found, there was a Henry Tapp listed in Assembly of the VA council in 1850s, however he would be to old to be the son of Thomas and Mary. This is speculation on my part that he is most likely part of the English Tapps, but again this is speculation.
WILLIAM TAPP, did not exist as a son of Thomas and Mary, nothing was found in the existing records to make one believe that a William Tapp did exist. The Tapp family book stated that the name William Tapp and William Taptico were interchangable, not so. From 1693, William I thru William Taptico II, the name was listed in the order books as William Taptico or Tapticoe. One entry was found that appeared to read William Tapp, however the entry appeared to have part of the wording torn off. One must keep in mind, that these entrys are copies of original records of 400 years ago.
MARY TAPP, was not a daughter, but a daughter in-law, again the entry's to prove this will be listed below.
First I will discuss John Tapp and the discrepancies listed in the Tapp book. The following is the will of Jane Fullerton:
"In the name of God Amen, I JOANE FULLERTON of ye county of Rappae: in ye yeare of or: Lord 1678 being very sick of body but of a sound & perfect memory, God be praised for it, doe make this my last Will & Testamt. as followeth; first I bequeath my soule into ye hands of ye Almihgty God hoping for remission of all my sinns."
Item: I bequeath my body to ye Earth to buried in a decent manner.
Item: I give & bequeath as followth: one cow called Pie, unto Elizabeth Meades.
Item: I give & bequeath unto "JOHN TOPP JUNIOR"one cow called Muge.
Item: I give & bequeath one black mare unto Thomas Cunniers.
Item: I give & bequeath all ye rest of my worldly goods estate unto Robert Doewell.
Item: I give & bequeath one gold ring unto Samll. Parry juinor.
And this I make to be my last Will and Testamt. & all other Will or Wills to be void & no effect. As Witness my hand &Seale this 14th of Aprill 1678. Signed & Sealed in ye presence of us. Sammll.Parry, Humphrey Perkins....................Joane (Her Mark) Fullerton.
The deposition of Humphrey Perkins & Samll. Perry say that they did see ye above nmed Joane Fullerton signe seal & publish ye above mencjoned as her last Will and Testamt. & that she was in perfect silence & memory at ye signing. Sealing & publishing thereof to ye best of their judgements Samll.Parry Hump.
There are many questions concerning the information in The Tapp Family book concerning the will of Jane or Joane Fullerton and what the records reveal. We will discuss the Will before we continue with the entry's from the order books.
The one question that is the most important is... if this is Johns wife, why did she use her maiden name ? This is most unusual. In those days the wife used her married name. Based on the Rappahannock County Order Books, John, her husband died sometimes in 1685, Joane or Jane died in 1678, about 7 years before John, so it's not a case of Jonae or Jane marrying again. Another question is the spelling John Topp. It's difficult to read some of the entry's so it may have been John Tapp, but not positive. Jane or Joane , in her will left all the rest of her wordly goods to a Robert Doewell, why ? It would be more logical to leave this to her husband John. So based on the sequence of events and the will, I believe that Jane or Joane Fullerton did not have a connection with John.It's my opinion that the Tapp Family book decided to fill in a slot. Disregarding my opinion, evidence points to a conclusion that sufficient evidence is not available to state that Jane or Joane Fullerton was Johns wife.
The following entry's are from the Rappahannock County Order Books. And should prove that Mary is Johns wife , not a daughter of Thomas and Mary.
August 5, 1685: A commission of Administration is granted to MARY TAPP upon the estate of her deced husband, JOHN TAPP, she giving security to be accountable for the same to this Court or to whom it shall more properly belong.
The estate of JOHN TAPP deced and that they make report thereof under their hands at the next South side Court held for this County.
MARY TAPP, together with Mr. John Waters enter themselves in an assumpsit of ten thousand pounds of tobb: and cask for the said MARY TAPPS due administracon of the estate of her deced husband comitted to her.
November 4th 1685: Ordered that MARY TAPP make her personall appearance at next South side Court held for this County & that then & there, she give an exact & true account oath of her deced husbands estate.
1686: Whereas by evidence it appears to this Court that ELIZABETH TAPP, daughter of John Tapp deced, an infant, was by her Mother-in-law, MARY TAP, neglected & not taken care of, the Court have ordered that upon this Peticon HENRY PICKETT of this County do take the sd orphan under his care & charge & that she remaine with him untill she come to the age of sixteen or day of marriage wch should first happen.
MY NOTES: In those days, Mother-In-Law and Step Mother meant the same. Taken in the context of the entry and the many other entry's we can assume that this meant Step Mother. Therefore Elizabeth is the daughter of JOHN'S previous wife, but certainly not Jane or Joane Fullerton. We will continue with the entry's concerning MARY TAPP & JOHN TAPP.
August 4th, 1686: Reference granted between XPIAN PETERSON, plaintiff & MARY TAP, Admisistrix of her deced husband JNO. TAP, Defendant, till next Court.
February 1687: It is ordered that THO. GAINES take into his custody the sowes & hogs belonging to JOHN TAPP render an account thereof to the next Court held for this County.
October 6th 1687: Ordered that JOHN WATERS sometimes between this & the next Court, inventory & appraise the estate of JOHN TAP, late deced & make a report thereof in his hand in writing, to the next Court for this County.
September, 1689: Reff. granted intr. XPIAN PETERSON, Plaintiff & JOSEPH BRAGG as marrying MARY TAP, Defendant, till next Court.
December 5th, 1689: The Reff. Intr. XPIAN PETERSON, Plaintiff & JOSEPH BRAG as marrying MARY TAP, Defendant, is continued till next Court.
Unfortunately this is the last entry that I have found concerning Mary Tap, however it's possible that John Tapp may have married a Joan Fullerton, she died and he married Mary ( maiden unknown, may be Waters). His daughter , that was being mistreated by his second wife Mary, could have been from his first wife, Joan Fullerton. However the question of Joan using her maiden name in her will is questionable and the name Topp, not Tapp needs to be explained. What has been cleared up is the question of Mary being listed as a daughter...we now know that she was a sister-in-law, not a daughter. The Liles Fulcher Tapp book has Mary listed as a daughter that married a Bragg. The second son, Henry cannot be located. Thomas and Mary Lewis Tapp mayhave had a son named William Tapp, however he is not the father of King William Taptico. Keep in mind the Native American Tapps did not come into being until 1719, when King William Taptico died his wife changed the name to Tapp. Based on the above evidence, it appears the Tapps listed in the Liles Fulcher Tapp are the English Tapps. If this is correct, it raises several questions, did John Tap leave any male heirs ? Did Henry leave any male heirs ? An interesting bit of information is that the given name of Henry is only found in the Vincent Tapp family of Augusta County VA...this family is thought to be English, could there be a connection. [For those of you that read my genforum posting, this is the method that I detest, connecting families by given names, so tear into me :o) ]
The big puzzle is William Tapp, did Thomas and Mary Lewis really have a son by the name of William or did the authors of the Tapp Family Book find it convenient to list him in this family group. ( Remember, the Tapp Family Book stated that Tapp and Taptico were interchangeable, which is incorrect.) The first time that a William Tapp was mentioned (other than in the Tapp Book) was as a sibling of Charity and Vincent in 1724. In the Northumberland Order Books there was one listing of a William Tapp ( about 1690s), but it was so badly distorted it could possibly have been William Taptico and it did reference a previous entry of William Taptico.
With so littles information available on John and Henry, it will be difficult to trace this group to the Augusta family.
THE next group of Tapp's that appear to be English are those that are from Augusta County Virginia. In most Tapp family tree's they have this family as descendants of King William Taptico.
The information below is from a letter that is copyrighted and I can not place it on line, however I do have permission to publish it in my book " THE LAST OF THE WICOCOMICO"
We will begin with the second son of King William Taptico and Elizabeth...Vincent (sibling of William and Charity) supposedly married Elizabeth Bourne, the problem is; this union is not proven and the Bourne family history can not verify that the marriage took place.
Vincent's children were identified in a letter written by Alice Graham dated October 11, 1811 from Rockingham County Virginia. ( Alice is the daughter of William Tapp who married Christian Bourne)She was responding to a letter she received from Vincent Tapp of Augusta County Virginia. Vincent was attempting to determine if they were related. I cannot reveal any further information without breaking copyright laws.
Vincent Tapp married Elizabeth Bourne ( not proven)
CHILDREN:
*WILLIAM TAPP married Ann ?
CHILDREN: *Vincent, John, Samuel, Lewis, Isaac, Betty, Ginny.
These names were identified from the same source, and will be in the book.
*Vincent married Susannah Gambill and is well documented.
CHILDREN: Baylis, Fanny D. , Delphia, Charlotte, Susannah, John, HENRY, Vincent, Nancy, Walter, and Vincent L.
This is the family group mentioned previously that named one their children Henry.
The following is Vincent Tapp's estate inventory and appears to be Williams father, Vincent. ( The one that supposedly married Elizabeth Bourne).
FREDERICK COUNTY VIRGINIA.
In obedience to an order of the said County Court bearing date the 2nd of June 1752, we the subscribers being appointed by the said order to value the estate of Vincent Tapp, deced and being sworn before Marquire Batmen gent} have a valued the same as follows.
To an old Horse, Saddle & Bridle........................................Pounds...10
To a prcill(?) Old fowleer 13/aprcill(?) Woodenware.....................Pounds....3
To Beds & furniture...........................................................3...10
To 1 cow & yearling.....................................................Pounds....10
To Cask of Tobacco......................................................Pounds....26
Total.........................................................................9.12.6
John Ashby
William Wood
Joseph Combs
At Court held for Frederick County the 4th day of August, 1752.
William Tapp is having returned into Court the appraisement of the estate of Vincent Tapp, Deced the same is admitted to record
Teste. T.Wood CC.
Now the problems...the William that married Ann, (son of Vincent and Elizabeth Bourne) is documented in Vincent and Susannah Tapp's family bible, I have copies of the bible...it states the following;
"Vincent Tapp, son of William and Ann his wife, was born in Frederick County, the 2nd day of April, 1757. Vincent married Susannah Gambill in Charlottesville in the County of Albermarle, State of Virginia on the 24th day of June 1782".
If William is the son of Vincent and Elizabeth Bourne as stated in Alice Grahams letter( Alice's letter did not mention Vincents wife, this is an assumption based on the Liles Fulcher Tapp Book) and the father of Vincent (who married Susannah) as stated in Vincents bible, then the Augusta County Tapp family are descendants of King William Taptico ! However this contradicts recent information that was placed on a personal web site stating that a descendent of the Fredrick County Tapps had a DNA test and indicated that this family is of European origin. If this is the case, it's important that the DNA tester be absolutely sure that he is from this line. If his research is primarly from the Liles Fulcher Tapp book then there may be a problem.
What is possible, is that Alice's letter is correct, but the William that married Ann is not the same William she discussed in her letter.
October, 2004.
Before I continue with my thoughts on the English Tapps, I need to mention the supposedly French Tapps that arrived in Virginia in 1724 and settled in Westmoreland County VA.
The following is from the Liles Fulcher Tapp Book.
Phillip Lewis Joseph Tapp (1690) was the "founder" of this Tapp Family in the Colony of Virginia. Born in Montauban, France, he arrived in Virginia in 1724, settling in Westmoreland County. He evidently brought his then children with him, as records show some of them born in Montauban, France.
The book states that Phillip Lewis Jopseph Tapp married Louise Desplain, their childeran are;
Phillip Lewis Joseph Tapp Jr b. in Mountauban France. Married Fauntleroy.
Anna Maria Tapp 3/20/1716 b. in Mountaban France. Married William Bledsoe.
Frederick William Tapp b. 1720, Orange County Virginia.Married Rachel Mountjoy.
MY NOTES: The Liles Fulcher Tapp is very inaccurate, but they had to find these names somewhere. I will be contacting a researcher in Westmoreland and see if this family existed, also I will contact the French Embassy and find the address of the archives in Paris. Until we find this familes place in the overall Tapp genealogy, we will be spinning our wheels and continue misplacing the Tapps in the wrong ethnic group.
I had a researcher check out this family several months ago, he did find some of the names listed as descendants but did not find the conncection, also the Tapp Book mentions a Fielding Lewis Tapp (grandson of of Phillip Lewis Joseph Tapp) as marrying a Mildred Chowning. ( Some folks have stated that Chowning and Chewning is the one and same ! WRONG. Chewinig is documented and I have the lineage of Lewis and Mildred Chowning. By the way, Fielding is not Lewis's first name, it appears someone added Fielding to give readers the impression that he may be related to, Fielding Lewis, ancestor/descendant of George Washington and his family.
MORE TO FOLLOW.


Repair History
Service History
| Malfunction |
| Date |
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A/S Man |
| 2014-09-21 |
Overspeed |
Could not started |
2014-10-22 |
2014-10-22 |
Lisa |
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| 2014-09-21 |
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2014-10-22 |
Lisa |
| Equipment Information |
| Type |
EX.30% |
Location |
山东省烟台市 |
| Model |
DL215-9-21332 |
Status |
W |
| Time |
2345 |
Alarm |
none |
| Oper. |
ON |
|
|
| Stock Information |
| In Date |
2014-09-22 |
Out Date |
2014-10-22 |
| In Type |
S |
Out Type |
L |
| Warehouse |
WH1 |
|
|
| Customs Clearance Date |
2014-09-22 |
| Terminal Information |
| Singel |
ON |
Number |
20140921221 |
| Connect |
gprs |
Satellite |
none |
| Recevied |
2014-09-21 |
SIM Card |
12345678 |


Faith Evans recalls Whitney Houston smoking joints with her, pitching a reality show
by Tyler McCarthyFaith Evans will appear on TV One’s “Uncensored” Sunday — but there are some stories that did not make the cut, such as her fondest memories of her ex-husband Biggie Smalls and Whitney Houston.
“Whitney and Bobby [Brown] used to live in the same country club as me and my ex-husband and one day they came to our house,” Evans told us. “We were drinking wine, smoking joints, and they had this thing where they [would] dance and curse at each other.”
WHITNEY HOUSTON FIRST TRIED COCAINE AT AGE 14, CLAIMS PAL ROBYN CRAWFORD IN MEMOIR
Evans recalled that Houston “looked at me and said, ‘Faith we got to do a reality show,’ and I said, ‘Girl y’all just did the first episode right here.”
CLICK HERE TO GET THE FOX NEWS APP
She said on the subject of cannabis and Houston: “We started really hanging out when Biggie passed away. One of the first places she invited me was Donatella Versace’s house in ’97 … I was like, ‘Girl I don’t have no outfit.’ So she brought me one… It was a dinner party… and men with no shirts [were] serving platters.”
This article originally appeared in Page Six.


Get an impartial decision on your dispute
Appeal against a tax decision
You have 30 calendar days to appeal. This begins from the date of the original notice or review conclusion letter.
If you appeal any later, you'll need to explain why.
What you will need
- a scan or photo of the original notice letter, or review conclusion letter, so it's ready to upload in a digital format
- written reasons for your appeal to copy and paste or attach as a document
- signed approval (PDF, 58Kb) if you want someone to act on your behalf and receive letters from the tax tribunal or attend a hearing
Warning You can't save details so get everything ready before you start


{% extends "base.html" %} {% from "macros.html" import show_image_to_compare, show_image, job_image_with_link, render_pagination %}


{% extends "procedures/procedurebase.html" %} {% block content %}
Calling the procedure filtervenue()
Event Description
Learn Git and GitHub


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Status | Signal name | Severity | Stage | Time | Roles |
|---|---|---|---|---|---|---|
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Online | Arcus watch slowdown | Medium | Triaged | 0:33 | Allison Brie |
|
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Offline | monarch: prod shared ares-managed-features-provider-heavy | Huge | Triaged | 0:33 | Brie Larson |
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Online | monarch: prod shared ares-managed-features-provider-heavy | Minor | Not triaged | 0:33 | Jeremy Lake |
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Online | Arcus watch slowdown | Negligible | Triaged | 0:33 | Angelina Cheng |


Standard Trust Bank, 15, Adeola odeku Street, Victoria Island, Lagos. 24th July, 2003 Alternative email address<EMAIL_ADDRESS>Dear Friend I am Fadaka Randebe, Bank Official of Standard Trust Bank of Nigeria , Adeola Odeku Branch. I have urgent and very confidential business proposition for you. On June 6 1998, a gold merchant/contractor with the Randgold Exploration Company, Mr. Jim Smith made a numbered time (Fixed) deposited for twelve calendar months, valued at US$25,000,000.00 (Twenty-five Million Dollars) in my branch. Upon maturity, I sent a routine notification to his forwarding address but got no reply. After a month, we sent a reminder and finally we discovered from his contract employers, Randgold Exploration company Ltd that Mr. Jim Smith died from an automobile accident. On further investigation, I found out that he did not leave a WILL and all attempts to trace his next of kin were fruitless. I therefore made further investigation and discovered that Mr. Jim Smith did not declare any next of kin in all his official documents, including his Bank Deposit paperwork. This sum of US$25,000,000.00 is still sitting in the Bank and the interest is being rolled over with the principal sum at the end of each year. No one will come forward to claim it. According to the Nigerian Law, at the expiration of 5 (five) years, the money will revert to the ownership of the Nigerian Government if nobody applies to claim the funds. Consequently, my proposal is that I will like you as a foreigner to stand in as the next of kin to Mr. Jim Smith so that the fruits of this old man's labour will not get into the hands of some corrupt officials. This is simple, I will like you to provide me immediately with your full names and address so that the attorney will prepare the necessary documents and affidavits, which will put you in place as the next of kin. I would also like you to scan you drivers license for me. We shall employ the services of two attorneys for drafting and notarization of the WILL and obtain the necessary documents and letter of probate/administration in your favour for the transfer. A bank account in any part of the world, which you provide, will then facilitate the transfer of this money to you as the beneficiary/next of kin. The money will be paid into your account for us to share in the ratio of 70% for me and 30% for you. There is no risk at all as all the paperwork for this transaction will be done by the attorney and my position as the Branch official guarantees the successful execution of this transaction. If you are interested, please reply immediately. Upon your response, I shall then provide you with more details and relevant documents that will help you understand. Please observe utmost confidentiality, and rest assured that this transaction would be most profitable for both of us because I shall require your assistance to invest my share in your country. Awaiting your urgent reply via my alternative email address. Thanks and regards, Fadaka Randebe.


{% extends 'base.html' %} {% block title_extension %} - Fork an Organization{% endblock %} {% block content %}
If an organization you own is empty, you can start by forking an existing organization. This will copy all elements of the existing organization into your organization. There will be no connection between the two organizations, but you'll be able to build upon the work of the existing organization.
{{ forking_organization.name }} is currently empty, so you can fork any of the following organizations:
{% endblock %}


--- layout: page title: About Me description: An introduction to the mind of PBJ background: '/img/bg-about.jpg' ---
Thank you for visiting my website! This blog will mainly delve into the idea and thoughts about anything and everything ranging from books to military lifestyle. Because this is a personal blog, my thoughts will not and do not represent the views of the military. This website is just a place for me to express my feelings at the time.
I am currently a young officer in the military who is a recent military academy graduate. My current hobbies include anything and everything in the fitness industry, trying new and exotic foods, and subjects related to technology. I would definitely not call myself an expert on any of these things, but I would like to believe I am somewhat at least a little bit knowledgable in these fields.
The goal of maintaining this blog website is to continue to learn about everything! Please follow me on my adventure of learning!
"Intellectual growth should commence at birth and cease only at death."
- Albert Einstein


@import dbconn._ @import helper._ @import play.api.Play.current @import play.api.i18n.Messages.Implicits._ @import model._ @(user: User, serviceAccounts: Seq[ServiceAccount], serviceForm: Form[ServiceAccountForm])
You have no service account provided for the game, would you like to add?
@helper.form(action = routes.MenuController.addService()){Etsy mixtape wayfarers, ethical wes anderson tofu before they sold out mcsweeney's organic lomo retro fanny pack lo-fi farm-to-table readymade. Messenger bag gentrify pitchfork tattooed craft beer, iphone skateboard locavore carles etsy salvia banksy hoodie helvetica. DIY synth PBR banksy irony. Leggings gentrify squid 8-bit cred pitchfork.
 Fanny pack portland seitan DIY, art party locavore wolf cliche high life echo park Austin. Cred vinyl keffiyeh DIY salvia PBR, banh mi before they sold out farm-to-table VHS viral locavore cosby sweater.


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This technique is successful (in the long term) because it gives you all the advantages other people forgo by trying to seem legit. If you work on overlooked problems, you're more likely to discover new things, because you have less competition. If you deliver solutions informally, you (a) save all the effort you would have had to expend to make them look impressive, and (b) avoid the danger of fooling yourself as well as your audience. And if you release a crude version 1 then iterate, your solution can benefit from the imagination of nature, which, as Feynman pointed out, is more powerful than your own.
June 27, 2016 |
260 |


They both use the same underlying encryption “the Signal Protocol” but drastically differ in terms of underlying philosophy.
WhatsApp can’t see what’s inside the messages, but they can see who is sending a message to whom and when -
which is large risk.
And according to the WhatsApp privacy policy, the company reserves the right to record this
information, known as message metadata, and give it to governments.
The only data Signal retains is the phone number you register with and when you last logged into their
server. That’s it. It doesn’t even record the hour, minute, or second - only the day.
Signal is opensource and funded by donors, on the other hand WhatsApp is owned by Facebook, leaves users to
being nothing more than another data collection point for Facebook for ad-targeting.
WhatsApp was a messaging app first and added the security features later. Signal was all about security first.
Because of this, WhatsApp has more now-traditional chat features. Both Signal and WhatsApp also include voice
calling and video calling to round out the messaging apps.
Signal has plenty of features too including GIFs, can send your location, and Signal even has disappearing messages. Even voice calls on Signal are encrypted and screenshots can be disabled.
Signal, the non-profit organization points out that "there are no ads, no affiliate marketers, no creepy
tracking", and it's hard to ask for much more than that in terms of privacy. And It’s recommended by Edward
Snowden.
When you have an alternative which doesn't need you to compromise on privacy, why not to switch to Signal.


---
TLS
Avoid man-in-the middle attack
Confidentiality
Inside and outside the cluster
---
TLS
---
TLS
---
TLS: Recap
CSR
Required on all inter-pod communications
Consul intra-cluster communications: gossip
OpenShift: edge, passthrough and reencrypt
Fast forward: Istio
---
Vault Admin
How do I know a vault needs to be unsealed?
How do I unseal my vaults?
How do I list vaults?
How do I address a specific vault?
Challenge: seal status is an in-memory state
---
Vault Admin
---
Vault Admin
---
Vault Admin: Recap
API Server
DNS A record “pod-ip-address.my-namespace.pod.cluster.local“
Should Vault be a StatefulSet?
Opportunity: Auto Unseal with HSM PKCS11, AWS KMS, ...
---


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Keys
obj
drawInfo
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Object::Object()
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object.h
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objectmanager.h
objectMapping
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objects
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offsetXY
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operator*
Point2d::operator*()
Velocity::operator*()
operator+
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operator-
Point2d::operator-(const Point2d &other) const
Point2d::operator-() const
Velocity::operator-()
operator/
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Velocity::operator/()
overlap_true_false
overlap_true_false(SDL_Rect area1, SDL_Rect area2): funcs.cc
overlap_true_false(SDL_Rect area1, SDL_Rect area2): funcs.cc
overlaps
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We meet on the first monday of each month at the Ignite 100 Loft, courtesy of the guys at Ignite 100
Ignite 100, Suite 20, Adamson House, 65 Westgate Road, Newcastle upon Tyne, NE1 1SG
The format of the event will vary from month to month and usually consists of informal presentations by local speakers.
These talks can be on anything from interesting & relevant discussion topics or showcasing upcoming tools and methodologies.
Many of us make our way to the pub after the event for further discussions and networking.
The location of which is usually decided amongst the group on the evning of the event.


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Bunyip, allows you to detect if the text generated the by OpenAI's GPT-2 model.
Under the hood it uses a modified version of GLTR and the Hugging Face - GPT Detector to detect GPT generated text.
For the best results select text between 45 to 150 words long.
Select some text and then click 🦄 to get started!


GBP/USD reverses and hits fresh lows near 1.2910
by Matías Salord- Cable retreats amid a stronger US dollar across the board.
- Equity prices in Wall Street hold to losses but US yields rise modestly.
The GBP/USD pair dropped from the highest level since Monday at 1.2969 to 1.2912, slightly above Asian session lows. The reversal took place amid a stronger US dollar across the board. Also the pound weakened somewhat with the EUR/GBP rising back to 0.8570.
The South China Morning Post (SCMP) informed that China is looking at what US President Trump is going to do with the Hong-Kong Human Rights and Democracy Act approved on Wednesday that is awaiting his signature to turn it into law. The report weighs on market sentiment. Wall Street indexes are lower while at the same time US yields are modestly higher offering support to the greenback.
Contrarian signals about the US-China trade negotiations are now business as usual for markets. Earlier today, the same media informed that the US could delay the application of new tariffs (schedule by December 15) to Chinese goods if a deal was not reached by then, improving market sentiment.
Technical outlook
The pair lost momentum with the recent decline from near 1.2970. It could have formed a double top. The neckline of the patter is seen around 1.2880/1.2900; so a break lower could clear the way to a slide toward 1.2800.
In the very short-term the negative tone prevails. A recovery above 1.2935 would remove the bearish pressure while under 1.2910 it will likely intensify.
GBP/USD
| Overview | |
|---|---|
| Today last price | 1.2925 |
| Today Daily Change | 0.0003 |
| Today Daily Change % | 0.02 |
| Today daily open | 1.2922 |
| Trends | |
|---|---|
| Daily SMA20 | 1.2877 |
| Daily SMA50 | 1.2657 |
| Daily SMA100 | 1.2471 |
| Daily SMA200 | 1.2704 |
| Levels | |
|---|---|
| Previous Daily High | 1.2932 |
| Previous Daily Low | 1.2887 |
| Previous Weekly High | 1.2918 |
| Previous Weekly Low | 1.2785 |
| Previous Monthly High | 1.3013 |
| Previous Monthly Low | 1.2194 |
| Daily Fibonacci 38.2% | 1.2905 |
| Daily Fibonacci 61.8% | 1.2915 |
| Daily Pivot Point S1 | 1.2896 |
| Daily Pivot Point S2 | 1.2869 |
| Daily Pivot Point S3 | 1.285 |
| Daily Pivot Point R1 | 1.2941 |
| Daily Pivot Point R2 | 1.2959 |
| Daily Pivot Point R3 | 1.2986 |


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Id:
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Generating depth maps, colloquially known as depth estimation, from a single monocular RGB image has long been known to be an ill-posed problem. Traditional depth estimation techniques involve inference from stereo RGB pairs, via depth cues, or through the use of laser based LIDAR sensors, which produce sparse or dense point clouds depending on the size or cost of the sensor. Most modern smartphones contain more than one image sensor; however, utilising these sensors for depth estimation is infeasible as smartphone vendors restrict access to one image sensor at a time. In other cases, the sensors are of varying quality and focal lengths, rendering them inadequate for the purpose of depth inference. Producing depth maps for monocular RGB images is a crucial task due to their use in Depth-of-Field (DoF) image processing, Augmented Reality (AR), and Simultaneous Localisation and Mapping (SLAM).
To tackle the above problem, we propose a fully convolutional DCNN approach to learning and generating depth maps from single RGB images, utilising Atrous Convolution layers and ASPP for semantic segmentation and feature pooling & extraction in a convolutional neural network, employing an encoder-decoder architecture. We also apply Bicubic upsampling convolutions to further boost depth estimation accuracy, while simplifying previously proposed architectures so as to improve on performance, taking into consideration the computational and accuracy constraints that plague prior efforts.
We are showcasing the results of our model using a 3D point cloud view, and have trained our model using a subset of NYUv2 dataset that contains RGB and depth map pairs, which were constructed using Kinect sensors in an unsupervised manner.


Please read the following terms and conditions carefully
RACS is not the Department of Immigration but rather a Community Legal Centre
The extent of RACS's involvement is, where the client's financial situation warrants it, to try to connect the client with external barristers and lawyers who can provide assistance on a pro-bono basis on an application for judicial review in the courts. RACS cannot assist everyone, or guarantee it can make a referral for the client.
Referral for representation is a two step process: 1. Referral to a barrister to provid advice on whether the client would be likely to succeed on judicial review. 2 If the advice is that there is a good chance of success then RACS will try to organise representation for the client to run the matter in court and the client will communicate directly with the barrister/solicitor from then on. If the advice is that there is little or no chance of success, RACS cannot assist further.
Racs is obliged to keep client information confidential. By agreeing to this referral, the client agrees to:
RACS sharing this information and any documents the client provides with RACS's network of barristers and lawyers who RACS may approach to assist.
RACS sharing the client's information and any opinion obtained on the merits of the case with the case worker we received the referral from, RACS's network of barristers and lawyers, and if necessart, with all state Legal Aid offices, state law Society pro bono schemes, Justice Connect, PILCH, Refugee Legal (RILC), the Humanitarian Group, RAILS, ASRC and other not-for-profit groups that are working with the goal of ensuring access to justice for the fast track client group.


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Last updated 29 January 2020
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About dynamic panel widgets
Dynamic panels in this library
Editing components with dynamic panels
A dynamic panel is a container that holds other widgets in layers, or "states". A dynamic panel can have one state or many, with only one state visible at a time. The currently-visible state can be set dynamically, using the "Set Panel State" action. Each state has a visible area but can also include widgets that are outside the boundaries of the visible area.
Some interactive Carbon components have been constructed using the dynamic panel widget to model the behavior of the coded version of the component.
When working with editable components, you need to add your own content on panel states, may add or remove states (content switcher, tabs), and resize panels when needed (code snippet).
To edit content of a component with a dynamic panel element, select the panel and open the state where the content is.
In each component, panels are named with a "pnl" prefix (e.g. "pnl content"), so that you can search for them easier when filtering a list of widgets (e.g. for selecting as a target of action, or in the Outline pane).
Non-editable dynamic panel behaviors in components:
Read more on axure.com
Show/hide element (dropdown, input validation message etc.)
–
Change on/off state (toggle)
–
Trigger related events simultaneously using the Panel State Changed event
–
Editable dynamic panel behaviors in components:
Expand/collapse content (accordion, multi line code snippet, expandable tile)
–
Change content (content switcher, tabs)
–
Scrollable content (single line code snippet)
–


Authentication is required by all APIs, that means having a Mybring user account with an API key. Authorisation is required by some APIs, that means having a customer number and certain rights connected to the user. The following describes how the requirements work together and how to obtain them.
In order to use the majority of our APIs, your company needs to be a Bring customer and have a customer number. While most customers have only one customer number, many also choose to have multiple when they need to separate departments or subsidiaries.
If the API you want to use requires a customer number and you don’t have one yet, contact customer support via your country’s Bring site.
If you need a customer number for testing purposes, it can be found in the API testing documentation.
You need a personal Mybring user account to work with the Bring API’s. If you don’t have one already, register a new account.
You can see the customer numbers your account has access to on the Mybring API page. If the customer number you are looking for isn’t listed, you can get access to it through one of the following methods:
You might work with multiple companies and each of these companies might have multiple customer numbers in Bring. You can use the same Mybring user for different companies.
Rights control what the user can do, for instance order certain services on behalf of the company or see certain information about it. While one user can have access to many different customers, the rights are specific for each customer number. The company administrator manages these within the company and the user can apply for customer numbers and rights in Mybring.
When you have a Mybring user, you can create an API key. The key is necessary for authentication and is unique to your user account. It’s used together with the user account email address when connecting to the APIs. The same key is used for all APIs and all Bring customer numbers the user has access to.
Be aware that if you choose to change or delete the API key or delete the entire user account, any integration using it will stop working and must be updated with a new key.
The API key is created and managed in the Mybring API page.
When you have the user account with the access, rights and API key, you are ready to connect to the APIs in either your own system or an API client. Each API has individual details, but the following three HTTP header parameters are always required.
<EMAIL_ADDRESS>1234abc-abcd-1234-5678-abcd1234abcd
your-company-domain.com
Stay up to date on changes and new features by subscribing to API updates. You can subscribe to all or pick the areas relevant to you.
We continuously monitor our APIs with health checks to measure uptime. Real-time and historical status can be found on the operational status page.
If you have trouble or questions regarding the different APIs, we actively use the comment sections on the respective API docs.
All our APIs are REST APIs supporting JSON and XML. Order Management and Warehousing are also SOAP APIs.


Lambert Conic Conformal (2SP Belgium)
| Name
| Lambert Conic Conformal (2SP Belgium)
|
| EPSG Code
| 9803
|
| GeoTIFF Code
| (unsupported)
|
| OGC WKT Name
| Lambert_Conformal_Conic_2SP_Belgium
|
| Supported By
| EPSG, OGC WKT
|
Projection Parameters
| Name
| EPSG #
| GeoTIFF ID
| OGC WKT
| Units
| Notes
|
| Latitude of false origin
| 1
| FalseOriginLat
| latitude_of_origin
| Angular
|
|
| Longitude of false origin
| 2
| FalseOriginLong
| central_meridian
| Angular
|
|
| Latitude of first standard parallel
| 3
| StdParallel1
| standard_parallel_1
| Angular
|
|
| Latitude of second standard parallel
| 4
| StdParallel2
| standard_parallel_2
| Angular
|
|
| Easting of false origin
| 6
| FalseOriginEasting
| false_easting
| Linear
|
|
| Northing of false origin
| 7
| FalseOriginNorthing
| false_northing
| Linear
|
|
Notes
This doesn't appear to be supported by GeoTIFF.
EPSG Notes
Since 1972 a modified form of the two standard parallel case has been used in Belgium.
For the Lambert Conic Conformal (2 SP Belgium), the formulas for the standard two
standard parallel case given above are used except for:
Easting, E = EF + r sin (* - a)
Northing, N = NF + rF - r cos (* - a)
and for the reverse formulas
* = ((*' + a)/n) +*0
where a = 29.2985 seconds.","For Projected Coordinate System Belge l972 / Belge Lambert 72
Parameters:
Ellipsoid International 1924, a = 6378388 metres
1/f = 297
then e = 0.08199189 and e^2 = 0.006722670
First Standard Parallel 49o50'00""N = 0.86975574 rad
Second Standard Parallel 51o10'00""N = 0.89302680 rad
Latitude False Origin 90o00'00""N = 1.57079633 rad
Longitude False Origin 4o21'24.983""E = 0.07604294 rad
Easting at false origin EF 150000.01 metres
Northing at false origin NF 5400088.44 metres
Forward calculation for:
Latitude 50o40'46.461""N = 0.88452540 rad
Longitude 5o48'26.533""E = 0.10135773 rad
first gives :
m1 = 0.64628304 m2 = 0.62834001
t = 0.59686306 tF = 0.00000000
t1 = 0.36750382 t2 = 0.35433583
n = 0.77164219 F = 1.81329763
r = 37565039.86 rF = 0.00
alpha = 0.00014204 theta = 0.01953396
Then Easting E = 251763.20 metres
Northing N = 153034.13 metres
Reverse calculation for same easting and northing first gives:
theta' = 0.01939192 r' = 548041.03
t' = 0.35913403
Then Latitude = 50o40'46.461""N
Longitude = 5o48'26.533""E


Please keep your phone unlocked while connecting...
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Select phone system before scanning:
BACK SCAN


Test implementation guide (based on
FHIR - 2016 May release
)
{% include menu.html %}
{{site.data.pages[page.path].breadcrumb}}


[1]
Nice when powered off.. ...; Where should i start
[2]
Crips picture, vibrant colors, good sound.; Temperamental, connections could be more convenient


@(info: models.admin.EventDetail, active: ids.ShowId)(implicit request: be.studiocredo.auth.SecureRequest[_])


BTS, Psy, and Girls' Generation's songs listed on Billboard's 'The 100 Songs that Defined the Decade (2010s)'
by sl278As we approach 2020 and the end of the 2010s, Billboard decided to look back on the 100 songs that defined the decade. Three K-pop artists were listed on Billboard's 'The 100 Songs that Defined the Decade' list: BTS, Psy, and Girls' Generation.
BTS's "I Need U", Girls' Generation's "I Got A Boy", and Psy's "Gangnam Style" were included in the list alongside hits such as "Let It Go" by Idina Menzel and "Uptown Funk" by Bruno Mars.
BTS's "I Need U" was lauded for its storytelling and emotional arrangement, while Girls' Generation's "I Got A Boy" was praised for its unique use of sounds and genre-bending nature. Psy's "Gangnam Style" obviously made the cut as its viral popularity became a part of meme culture and broke global YouTube records with its music video, becoming the first video on the platform to reach 1 Billion views.
Congratulations to all three artists!


Welcome to Math Of The Dead. This tutorial will guide you through the main concept and features of this interactive brain game.
At the top of your screen you will find the pause button, wave number, and your score. Directly beneath this is the bullet queue of 5 numbers which you will use to kill zombies.
Note you may go above and below zero but only a health of exactly zero will kill a zombie.
At the bottom of your screen you will find a dotted horizontal white line.
Beneath this you will find four guns for adding, subtracting, multiplying, and dividing the numbers from the bullet queue against the numbers above the zombies head.
To get a feel for the game try pressing all boxes with a red background.
Note the addition gun has a grey background at the moment because that is the currently selected gun.
Your first wave will not begin until all buttons have been pressed once.

The one you are currently using is in the red box, you can use this by clicking on a zombie, or skip it by clicking on the red box.
Each time you use this gun you will be performing addition with the numbers from the bullet queue and the numbers above the zombies head.
For example if the current bullet is ( -1) and you click on a zombie with (-1) health you will cause the zombie’s health to equal -2.
Each time you use this gun you will be performing subtraction with the numbers from the bullet queue and the numbers above the zombies head.
For example if the current bullet is ( -1) and you click on a zombie with (-1) health you will cause the zombie’s health to equal 0.
Each time you use this gun you will be performing multiplication with the numbers from the bullet queue and the numbers above the zombies head.
For example if the current bullet is ( -1) and you click on a zombie with (-1) health you will cause the zombie’s health to equal 1.
Each time you use this gun you will be performing division with the numbers from the bullet queue and the numbers above the zombies head.
For example if the current bullet is ( -1) and you click on a zombie with (-1) health you will cause the zombie’s health to equal 1. Also this gun rounds up if you attempt to divide 15 by 7 you will cause the zombie’s health to be 3.

You have succesfully killed the tutorial zombies!
Take the next step and play the game or give the tutorial another go.


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7
8
9
10
_
___.
.
.
The
New
York
copyright
reserved
botanical
Garden
BOTANICAL
GARDE**
Kin
3-04*?
Familia
QXeaCOaC
Jasminium
multiflorum
(Burm.
P.)
Andrews
I
to
1.5
m.
Ion«:
stems
that
twine
around
plants;
petals
white;
fragrant
fl.;
near
residence,
cultivated(?);
"Jasmin"
is
common
name
here.
República
Dominicana:
prov.
Sanchez
Hamirez:
II
'Km.
SE
of
Fantino
via
Comedero
Abajo
on
road
to
Hernando
Alonzo;
(coffee
&
)
mostly
cacao
plantations
with
country
homes.
19003'M,
708l6*Wt
alt.
90
m.
January
28,
1981.
M.
Mejfa,
C.
Ramirez,
T.
Zanoni.
JARDIN
BOTANICO
NACIONAL
“DR.
RAFAEL
M.
MOSCOSO"
SANTO
DOMINGO,
REPUBLICA
DOMINICANA
01497898
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


Keyboard Tips: Use TAB to focus the map, then use up/down/left/right to go around the map, zoom in by SPACE and zoom out by ESC.


<template>
<div :style="styleObject"></div>
</template>
data: {
styleObject: {
color: 'red',
fontSize: '13px'
}
}
Typically, dynamic environments where a problem is not easily solveable by static styles. This is where you used to do styling with jQuery.
Keep it for special cases for now
☝ More referenced-based styling = less naming headaches