After launching the Big Bash Cricket game(New) with Cricket Australia, Nextwave Multimedia, the creators of one of the best cricket games is all set to release online multiplayer game WCC Rivals in which players will match in real-time. WCC Rivals is now available to pre-register on Google Play Store.
The announcement of WCC Rivals published on Facebook Page first. They have also launched a trailer for the game, but it does not actually a game trailer. It's just an announcement trailer. Even the posted screenshots on Google Play Store doesn't highlight the game's graphics, UI, or more. There is only a screenshot of the player matching screen. They may release a new video in upcoming days, you can like WCC Rivals page here for the latest updates.
It could be similar to the MS Dhoni game as it also features the real-time multiplayer mode. The official handle has not posted about the release date yet. You will have to wait. Recently, Nextwave has also released new Big Bash Cricket game, WCC lite.


The TLH-EV036 is a 48v New Downtube type electric bicycle battery suitable for 500W, 750W and 1000W use. It has a deep sleep function feature and is equipped with a USB port. This model has a battery size of 368*88.5*113(mm) and a battery weight of 3.6kg.
The nominal capacity of the battery is 15Ah with a Samsung 29ET cell type and a nominal voltage of 48V.
The peak discharge current is 40A and the discharge current is 1A5-25A. It takes 5-6 hours to charge under standard charge current. TLH offers a 12 month warrantee on thus battery model.


text:
IF (WIN32)
    MESSAGE("FindIMLIB2.cmake: IMLIB2 not (yet) supported on WIN32")
    SET(IMLIB2_FOUND OFF)
ELSE (WIN32)
    IF (UNIX)
        SET(IMLIB2_CONFIG_PREFER_PATH "$ENV{IMLIB2_HOME}/bin" CACHE STRING "preferred path to imlib2")
        FIND_PROGRAM(IMLIB2_CONFIG imlib2-config
                ${IMLIB2_CONFIG_PREFER_PATH}
                /usr/bin/
                /opt/gnome/bin/)

        IF (IMLIB2_CONFIG)
            # OK, found imlib2-config.
            # set CXXFLAGS to be fed into CXX_FLAGS by the user:
            SET(IMLIB2_CXX_FLAGS "`${IMLIB2_CONFIG} --cflags`")

            # set INCLUDE_DIRS to prefix+include
            EXEC_PROGRAM(${IMLIB2_CONFIG}
                    ARGS --prefix
                    OUTPUT_VARIABLE IMLIB2_PREFIX)
            SET(IMLIB2_INCLUDE_DIR ${IMLIB2_PREFIX}/include CACHE STRING INTERNAL)

            # extract link dirs for rpath
            EXEC_PROGRAM(${IMLIB2_CONFIG}
                    ARGS --libs
                    OUTPUT_VARIABLE IMLIB2_CONFIG_LIBS)

            # set link libraries and link flags
            #SET(IMLIB2_LIBRARIES "`${IMLIB2_CONFIG} --libs`")
            SET(IMLIB2_LIBRARIES ${IMLIB2_CONFIG_LIBS})

            # split off the link dirs (for rpath)
            # use regular expression to match wildcard equivalent "-L*<endchar>"
            # with <endchar> is a space or a semicolon
            STRING(REGEX MATCHALL "[-][L]([^ ;])+"
                    IMLIB2_LINK_DIRECTORIES_WITH_PREFIX
                    "${IMLIB2_CONFIG_LIBS}")
            #MESSAGE("DBG  IMLIB2_LINK_DIRECTORIES_WITH_PREFIX=${IMLIB2_LINK_DIRECTORIES_WITH_PREFIX}")

            # remove prefix -L because we need the pure directory for LINK_DIRECTORIES
            # replace -L by ; because the separator seems to be lost otherwise (bug or feature?)
            IF (IMLIB2_LINK_DIRECTORIES_WITH_PREFIX)
                STRING(REGEX REPLACE "[-][L]" ";" IMLIB2_LINK_DIRECTORIES ${IMLIB2_LINK_DIRECTORIES_WITH_PREFIX})
                #MESSAGE("DBG  IMLIB2_LINK_DIRECTORIES=${IMLIB2_LINK_DIRECTORIES}")
            ENDIF (IMLIB2_LINK_DIRECTORIES_WITH_PREFIX)

            # replace space separated string by semicolon separated vector to make
            # it work with LINK_DIRECTORIES
            SEPARATE_ARGUMENTS(IMLIB2_LINK_DIRECTORIES)

            MARK_AS_ADVANCED(IMLIB2_CXX_FLAGS
                    IMLIB2_INCLUDE_DIR
                    IMLIB2_LIBRARIES
                    IMLIB2_LINK_DIRECTORIES
                    IMLIB2_CONFIG_PREFER_PATH
                    IMLIB2_CONFIG)

        ELSE (IMLIB2_CONFIG)
            MESSAGE("FindIMLIB2.cmake: imlib2-config not found. Please set it manually. IMLIB2_CONFIG=${IMLIB2_CONFIG}")
        ENDIF (IMLIB2_CONFIG)
    ENDIF (UNIX)
ENDIF (WIN32)

IF (IMLIB2_LIBRARIES)
    IF (IMLIB2_INCLUDE_DIR OR IMLIB2_CXX_FLAGS)
        SET(IMLIB2_FOUND 1)
    ENDIF (IMLIB2_INCLUDE_DIR OR IMLIB2_CXX_FLAGS)
ENDIF (IMLIB2_LIBRARIES)

redpajama_set_name: RedPajamaGithub


Property Location With a stay at Hotel Baltimore Paris Champs Elysées MGallery Collection in Paris (Trocadero), you'll be minutes from Guimet Museum and Palais de Chaillot. This 5-star hotel is close to Arc de Triomphe and Eiffel Tower.Rooms Make yourself at home in one of the 103 air-conditioned rooms featuring minibars and flat-screen televisions. Complimentary wireless Internet access keeps you connected, and satellite programming is available for your entertainment. Private bathrooms with bathtubs or showers feature designer toiletries and complimentary toiletries. Conveniences include phones, as well as laptop-compatible safes and desks.Rec, Spa, Premium Amenities Take advantage of recreation opportunities such as a fitness center, or other amenities including complimentary wireless Internet access and concierge services.Dining Satisfy your appetite at the hotel's restaurant, which serves breakfast, lunch, and dinner, or stay in and take advantage of 24-hour room service. Quench your thirst with your favorite drink at a bar/lounge.Business, Other Amenities Featured amenities include a business center, limo/town car service, and complimentary newspapers in the lobby. This hotel has 4 meeting rooms available for events. Guests may use a roundtrip airport shuttle for a surcharge, and self parking (subject to charges) is available onsite.


Wakendaw Lakes can be found in Mount Pleasant and is a short drive to the Arthur Ravenel Bridge making this neighborhood in the perfect location. You're just minutes away from Sullivan's Island, the Charleston Historic District and Shem Creek.
This area is an older established neighborhood with homes situated on small ponds and beautiful scenery. The neighborhood is known for its quiet, safe atmosphere with luxurious family-style homes.
Being just minutes away from all that Charleston has to offer, Wakendaw Lakes homes for sale are a hot commodity, especially for families with children. This is a great place to entertain guests or to host a family gathering. If you are looking for southern living in a quaint neighborhood then Wakendaw Lakes is the place for you.
Contact one of our experienced Charleston real estate agents today!


text:
Black & White & Read All Over homepage Horizontal - White Black & White & Read All Over a Juventus community
Follow Black & White & Read All Over online:
Follow Black & White & Read All Over on Twitter
Follow Black & White & Read All Over on Facebook
Black & White & Read All Over main menu
Serie A Campionato 2021-22
The Old Lady Speaks Podcast
Juventus transfer news & rumors
Match Recaps
Game Time Threads
Juventus Women
Juventus 2016-17 Season Ratings
Juventus 2016-17 Season Ratings: The Fullbacks
By Johann Burnett@Johannisnotcool Jun 18, 2017, 6:30pm CEST
Share All sharing options for: Juventus 2016-17 Season Ratings: The Fullbacks
Photo by Valerio Pennicino/Getty Images
So there we had it. Another season has come and gone, and now it's time for the postmortems.
The 2016-17 season was a great one, despite the obvious hurt and disappointment of the Champions League final loss. It has been hard to get over personally; I usually tend to temper my expectations of Juventus in Europe (as we haven't won the biggest prize in over two decades now), but this year — like many, I'm sure — I thought it was the time we would finally do it. I even made the two and a half-hour drive from London to Cardiff for the final (I must say that despite the result, the experience was truly amazing and would implore every fan to go to follow their team when/if they make it to a Champions League final).
But alas, it was not meant to be, as a truly awful second half performance saw us capitulate to a better-than-expected Real Madrid side. Sigh…
Oh well, we have to move on.
Continuing on from the evaluation of the centrebacks, we are now going to look at the performances of Juventus' fullbacks this season.
Dani Alves — 8
The 34-year-old Brazilian was the latest in the line of shrewd free transfers made by the Juventus front office in the last half-decade. Falling out with the FC Barcelona hierarchy, Dani Alves decided to move over to the J Stadium in the summer of 2016.
Despite displacing long-time right back/right wingback Stephan Lichtsteiner, Alves took some time to really get going at Juventus. Coming into a new team and a new tactical system after being such a key cog in Barcelona's all-conquering team for years would always have been a challenge. The first half of his season was not particularly noteworthy, as he struggled to get accustomed to a new team and new league. This was not helped by a leg fracture which kept him out of contention for a number of weeks.
However, after coming back from that injury, Alves became a vital component in Juventus' surge to the end of the season, particularly in Europe, where strong performances helped Juventus get to the Champions League final for the second time in three years. He also finished a lovely move in the Coppa Italia final, which gave Juventus its third crown in a row — a record in the competition.
His standout performances, without a doubt, came in the Champions League semifinal tie against Monaco, where he provided three assists (officially two, but come on, Mario Mandzukic should have scored his header at the first time of asking) and scored a sensational volley from the top of the box.
Gigi Buffon said that when he was signed, he asked Dani Alves to help us take home the Champions League. At 34 years of age and with one more year on his contract (albeit with an option for a third), there isn't much longer for Dani Alves to bring that goal to fruition. All in all, a pretty good first season in the black and white.
P.S. I still find it a bit weird seeing Dani Alves in a club shirt other than Barcelona's.
Appearances: 31
Stephan Lichtsteiner — 6.5
Displaced in the starting lineup by Dani Alves, and along with contract uncertainty as to whether a contract extension would be offered and signed, the Swiss Express was mainly a role player this season, playing mostly in the Coppa Italia and being used to rotate. When played, as usual, he provided solid defensive displays. His crossing and finishing, however, continue to leave A LOT to be desired.
At 33, to expect this to change or improve may be considered to be very wishful thinking — much like those people who expected a man who has been an unhinged, conspiracy-theory pushing, race-baiting, divisive rhetoric spewing, attention seeking, a**hole for his entire public life to suddenly change at age seventy when elected President of the United States — so is it possible that it's time to move Lichtsteiner on? I personally thought we should have let Lichtsteiner's contract run out and move on the summer. Still think we should look to sell. This season, our right full backs were thirty-four and thirty-three respectively. We should surely be looking for young replacements. Juve have Pol Lirola and Leonardo Spinazzola out on loan, but it's unlikely either will be a first team member next season. So maybe someone relatively young but with experience where they could be of benefit to next season's pursuits.
Hard to think of a stand out moment or performance from Lichtsteiner this season. Pretty average season overall.
Photo by Stuart Franklin/Getty Images
Alex Sandro — 9
When Juve signed Alex Sandro from FC Porto in the summer of 2015, I was not impressed. I honestly thought that our money could have been better spent trying to get a trequartista to play behind the forwards. Not for the first time, my opinion over a transfer has been proven to be wrong and reminded me that I don't know what I'm talking about. Sandro has turned out to be a terrific buy and has become one of my favourite players. So much so that when I read an article online from The Telegraph titled "The top 25 best defenders in the world" and Sandro was not on the list, I was incensed!
Equally impactful on the defensive and attacking end, Sandro has — in my opinion — been the most consistent outfield player in the squad this season. The stats don't necessarily back this up, but watching him play week in-week out makes his consistency plain for everyone to see. He's chipped in with some goals and a number of brilliant assists — the highlight of which must be his cross for Dani Alves' goal in the Coppa Italia final — as well as being solid defensively. I honestly would have not expected this from a Brazilian fullback; I guess they aren't all Roberto Carlos wannabes.
Reports of bids from Manchester City and Chelsea have been all over as the "silly season" has started. Juventus has the policy of allowing players who want to leave to do just that. However, much like with other sought after players like Leonardo Bonucci, Juventus would be mad to sell Alex Sandro — especially when one considers the troubles we have had in finding consistent quality in that position (Cristian Molinaro anyone?).
Photo by Maurizio Lagana/Getty Images
Kwadwo Asamoah — 6
The stocky Ghanian had a pretty average season all things told. It appears that the last few seasons of niggling injuries have caught up with him, as he isn't as quick or dynamic as he once was. Most of his play now seems to be him making his way down the flank, then turning and passing back to a midfielder — I honestly cannot remember the last time I've seen Kwadwo take on and beat his man. Even when played, at times, in his more natural central midfield position, he has looked far from his old self. He hasn't been bad, mind you, just not very good either.
Is it time to move him on as well? Does anyone think he can get back to his form of the good ole days, circa 2012-2014 under Antonio Conte? I wouldn't bank on it, and maybe Juventus shouldn't either.
Paolo De Ceglie — n/a
Yes, he was still on our books this past season! The Italian Ashton Kutcher re-joined the Bianconeri in the summer of 2016, as his loan the previous season at Olympique Marseille was not successful. After turning down loans to Crotone (which, after their stunning escape from the drop, must feel like a mistake on his part) and Pisa over the course of the season, Paolo spent his season out of the first team's plans. He will not be a free agent, as his contract with Juventus runs out this month.
A product of the youth academy, much was expected when he was eventually promoted to the first team, along with Sebastian Giovinco and Claudio Marchisio. Instead, he has just turned out to be another example of the problems that Juventus have had in the left back position in recent years — and why it would be mental to throw it away now by even thinking about selling Alex Sandro.
All the best to him in his future endeavors.
More From Black & White & Read All Over
OFFICIALLY OFFICIAL: Martina Rosucci signs contract extension through 2024
Is Daniele Rugani a first-team defender again?
Report: Arsenal still pushing to sign Arthur Melo this month
Juve smash Sampdoria to move on to Coppa Italia quarterfinal
Landucci: Juventus need hard work, attitude and desire
Juventus 4 - Sampdoria 1: Initial reaction and random observations
Juventus News 24/7
Is Daniele Rugani a first-team defender again? While the Italian center back never really lived up to high expectations in his first stint in Turin, Rugani is now looking at more minutes and he seems to be stepping up when Juventus needs him the most.
Report: Arsenal still pushing to sign Arthur Melo this month Clearly tiny circles are popular in London.
OFFICIALLY OFFICIAL: Martina Rosucci signs contract extension through 2024 The contract extensions are starting to roll on in for the Juventus women.
Juve smash Sampdoria to move on to Coppa Italia quarterfinal It was a relatively easy win for the Old Lady as they defended their title.
Juventus 4 - Sampdoria 1: Initial reaction and random observations A win! A comfortable win!

redpajama_set_name: RedPajamaCommonCrawl


Durability and reliability are core attributes of Altus designed products. We strive to make innovative products that are built to last. Altus recommends periodic maintenance on all non-powered carts, powered carts and wall-mounted technology workstations. Periodic maintenance will provide years and years of superior performance and satisfaction.
We want our customers to have confidence when they choose us. Thus, we've created a preventative maintenance brochure, our guide to prolonging your workstation life. Download our Preventative Maintenance Brochure for a thorough guide on external and internal cleaning of your workstation.


Aren't you glad to have a photographer sitting beside you as you journey on?
Yes-better to be safe than insisting on driving AND taking the shot! I can see why you are fond of this bridge.
There is an elegance in this bridge design. Strange, I thought that this bridge would be more busy still with traffic. You must be driving outside peak hour.
What a beautiful bridge and lovely shots too!


text:
Hear that? It's the Undertaker's bell. And it tolls for YOU. The Undertaker is inviting you and a friend to join him at the WWE Performance Center for an unforgettable experience. You'll tour the training center for the wrestling stars of tomorrow with the wrestling legend. Take some truly epic photos. And even step into the ring with The Undertaker—don't worry, not for a Tombstone Piledriver—but to create your own custom ring entrance! Flights, hotel and autographed WWE title belt included.
For 40 years, Make-A-Wish® has brought transformational wishes to more than 330,000 children and families. But they're not done yet. No matter the circumstances, every child deserves a childhood. Life-changing wishes wouldn't happen without the power of donors like you. Right now there are thousands of children whose wishes have been delayed because of COVID-19. Your support today will give these children much-needed hope for brighter days ahead.
This experience raises funds for Charities Aid Foundation America ("CAF America"), a US-registered, 501(c)(3) public charity. 100% of donations for this experience go to CAF America, who will then grant the donations, minus the experience fees and costs, to Make-A-Wish (the "Designated Grantee"). For more info on how much will go to the Designated Grantee, the expected timeframe in which the Designated Grantee will receive the grants, and the rare circumstances in which CAF America may reassign funds to a similar grantee, see the "Fundraising Transparency" section at the bottom of each experience page.
February 23, 2021 at 11:59pm PT
On or around March 10, 2021
Designated Grantee:
Make-A-Wish ("Designated Grantee")
All donations made in connection with a fundraising campaign are paid to Charities Aid Foundation of America ("CAFA"), an IRS-recognized, U.S. public charity whose mission is to make giving internationally and domestically safe, easy and effective for U.S. donors. CAFA prequalifies each Designated Grantee as an eligible recipient of CAFA grants. At the end of each fundraising campaign, so long as the Designated Grantee continues to qualify as an eligible recipient of CAFA grants, CAFA will make a grant to the Designated Grantee of the net proceeds of the fundraising campaign.*
WWE ("Prize Provider")
Grand Prize Details: Winner and guest will receive a tour of the WWE Performance Center with The Undertaker, take a photo with The Undertaker (photos and video of experience to be provided to winner and guest afterward), and create a custom ring entrance with him. Winner will also receive a WWE Title belt signed by The Undertaker along with WWE merchandise Flights and hotel included (the "Grand Prize").
All third party names and trademarks are the property of their respective owners.
Age to Enter: You must be at least 18 years old to win.
Ineligible Countries: Winners must not be residents of Belgium, Cuba, Iran, Iraq, Italy, North Korea, Singapore, Sudan, Syria or Thailand.
Eligibility Notes:
Guest must be of legal age of majority in his/her jurisdiction of residence (and at least 18), unless Winner is the parent / legal guardian of Guest. No individual younger than 5 years of age may be a Guest. In addition to Winner requirements (detailed below), Guest must complete and return a publicity and liability release prior to departure. If a Guest is a minor, then the Winner must execute and return all required documents on behalf of such minor child. If Winner and/or Guest reside outside the country where experience will take place, Winner and/or Guest must have current, valid passports, and be able to travel to the experience location(s). If they are unable to travel to the experience location(s), they will forfeit the prize.
In certain countries, local rules and laws may restrict or prohibit the award of certain prizes or impose additional restrictions on participation. Entry is subject to all local laws. See our Sweepstakes Official Rules for more details. Employees, officers, and directors of Sponsor, Designated Grantee , or Prize Provider, and members of their immediate families and households, are not eligible to win.
Individuals may not receive more than one grand prize within the same 18 month period. Individuals may not receive more than one minor prize within the same sweepstakes.
Visit Omaze.com to utilize any of our methods of entry. See our Sweepstakes Official Rules for more details. Odds of winning depend on the number of entries held.
Winner Confirmation Process:
Within 10 business days of campaign close, we'll use an automated random drawing process to draw a potential winner(s) for that campaign. A confirmation process, which may include a background check, will then take place to ensure the potential winner meets the legal standards required. Winner and, if applicable, their guest(s) agree to cooperate fully with Omaze in Omaze conducting any background check(s), which includes providing information requested by Omaze including, but not limited to, full legal names and addresses. If the Prize includes meeting a celebrity, meeting a public figure, or attending a special event and any background check indicates, in Omaze's sole discretion, that the potential winner or the potential winner's guest(s) pose a danger to or may harm the reputation of any person or entity involved in the sweepstakes, Omaze may disqualify said winner and move on to the next randomly drawn potential winner. Pending a positive outcome of the confirmation process, an Omaze representative will notify the potential winner via email and/or phone. The potential winner must respond within the time period designated in the notification, or Omaze may move on to another randomly drawn potential winner. Before confirming a potential winner as the winner, Omaze may require the potential winner to confirm their eligibility. Once that's done, the potential winner and guest(s) must execute and return all required documents within the time frame specified by Omaze. If you do not execute and return all required documents within the time frame specified by Omaze, you will forfeit the Prize and Omaze will move on to another randomly drawn potential winner.
Travel companions are also required to sign a liability/publicity release prior to issuance of tickets. Additionally, travel companions/guests of the winner may be subject to a background check, which may impact their ability to participate in the Prize.
At Omaze, we believe fundraising should be about impact, not percentages. Our model allows us, in partnership with Charities Aid Foundation America (we call them CAFA), to really make a difference and disrupt the way society traditionally thinks about charitable giving.
Here's how it works: Omaze and CAFA work together to offer incredible prizes and experiences that anyone can potentially win. You don't have to donate to enter, but if you do, your donation to CAFA is then used to make a charitable grant to a great cause, which we love. Omaze pays for everything that's needed to run the sweepstakes, which means the only ones taking a chance are the entrants (you!)—not the Designated Grantee. The organizations can spend less time worrying about raising funds, and instead focus their energy on doing awesome work.
*This means that for the typical campaign, from every dollar you donate, 60 cents is used by CAFA to make a grant to the associated charity. If there are multiple charities, then grants of equal share are made to each charity. Of the remaining 40 cents, 25 cents is typically used to pay for things like advertising, payment processing and the costs of making the campaign a success—including providing the prize. Then the last 15 cents goes to Omaze and is used to cover the cost of providing and maintaining the technology and team that makes this all happen.
The result? Causes get a guaranteed grant with no risk and no overhead or investment, our lucky winners get awesome prizes, and everyone else gets to help a great cause and spread joy!
To learn more about how we support causes in partnership with CAFA, see our Terms of Use.


text:
Q: Custom publisher acting up when upstream is subscribed by multiple subscribers My custom publisher acts strangely if I have another subscriber subscribing to the upstream publisher.
So in my example, my upstream publisher gates the values dispatched
let onlyGreaterThan4 = pub.drop(while: { value in
    return value < 4
})

I have two subscribers, one with a normal sink and one in a custom publisher.
import UIKit
import Foundation
import Combine

var iter = 0
var pub: AnyPublisher<Int, Never> = Timer.publish(every: 1, on: .main, in: .common).autoconnect().map { _ -> Int in
    iter += 1
    print("sending \(iter)")
    return iter
}.eraseToAnyPublisher()

/// Collects values and starts a timer after the `first` value from upstream is received. This differs from the collect(.byTime) publisher since that publisher collects on an interval
public struct CollectOnReceive<T: Publisher>: Publisher where T.Failure == Never {
    public typealias Output = [T.Output]
    public typealias Failure = T.Failure

    /// Subscription for ReactiveSwiftPublisher
    class Subscription<SubscriberType: Subscriber>: Combine.Subscription where SubscriberType.Input == Output, SubscriberType.Failure == Failure {
        private var cancellables: Set<AnyCancellable> = Set()

        private let subscriber: SubscriberType
        private let upstream: T
        private let queue: DispatchQueue
        private var collection: Output = []

        init(upstream: T, subscriber: SubscriberType, queue: DispatchQueue) {
            self.subscriber = subscriber
            self.upstream = upstream
            self.queue = queue
        }

        func request(_ demand: Subscribers.Demand) {
            let subscriber = self.subscriber

            Swift.print("-- observing --")

            // collect all the values
            self.upstream.subscribe(on: self.queue)
                .sink { [weak self] value in
                    Swift.print("-- appending: \(value)")
                    self?.collection.append(value)
                }.store(in: &self.cancellables)

            // on the first item
            self.upstream.first()
                .flatMap({ _ -> AnyPublisher<Date, Never> in
                    // dvttodo using dispatch interval timer might be necessary
                    Swift.print("start: \(Date())")
                    return Timer.publish(every: 5, on: .main, in: .common).autoconnect().eraseToAnyPublisher()
                }).subscribe(on: self.queue)
                .sink(receiveValue: { [weak self] _ in
                    guard let collection = self?.collection else {
                        subscriber.receive(completion: .finished)
                        return
                    }

                    Swift.print("--finish sub: \(collection) : \(Date())")
                    subscriber.receive(collection)
                    subscriber.receive(completion: .finished)
                }).store(in: &self.cancellables)
        }

        func cancel() {
            self.cancellables.removeAll()
        }
    }

    private let upstream: T
    private let queue: DispatchQueue

    public init(upstream: T, queue: DispatchQueue) {
        self.upstream = upstream
        self.queue = queue
    }

    public func receive<S>(subscriber: S) where S : Subscriber, T.Failure == S.Failure, [T.Output] == S.Input {
        subscriber.receive(
            subscription: Subscription(
                upstream: self.upstream,
                subscriber: subscriber,
                queue: self.queue
            )
        )
    }
}

extension Publisher where Failure == Never {
    func collectOnReceive(queue: DispatchQueue = .init(label: "CollectOnReceive")) -> CollectOnReceive<Self> {
        return CollectOnReceive(upstream: self, queue: queue)
    }
}

let onlyGreaterThan4 = pub.drop(while: { value in
    return value < 4
})

let q = DispatchQueue(label: "ASDF")

let cancel = onlyGreaterThan4.collectOnReceive(queue: DispatchQueue(label: "collect on receive")).sink {
    print("completion: \($0)")
} receiveValue: {
    print("values: \($0)")
}

let c2 = onlyGreaterThan4.sink {
    print("c2 sink: \($0)")
}

// if you comment out c2, it acts mostly reasonable, the publisher completes properly and sends out the following array [4, 6, 7, 8, 9, 10, 11], don't know what happened to the 5 but that's mostly correct.

// if you leave second subscription with c2 in tact, then it returns the following: [6, 8, 10, 12, 14, 16]. Where did all the odd numbers go? No idea.

I figure I must be dealing with the dispatch queues wrong or something silly.
The reason I created a custom publisher was that I wanted value collection for an interval only after the first value greater than or equal to 4 was discovered. Using collect(.byTime) would not be suitable since it executes on the interval, regardless of when upstream values come into it.
So the pseudo code of the goal
when x >= 4 was detected then {
    collect(values, for: timeInterval) { valuesGreaterThanEqualTo4 in
        if valuesGreaterThanEqualTo4.count > threshold {
            return sustained
        }

        return notSustained
    }
}

Update:
I noticed in my print that my sink subscription all my even values where going there while my odd values were going to my custom publisher. So weird.
-- observing --
sending 1
sending 2
sending 3
sending 4
c2 sink: 4
sending 5
-- appending: 5
sending 6
start: 2022-09-08 22:45:54 +0000
sending 7
-- appending: 7
sending 8
c2 sink: 8. // missing the append for all the even values!!!
sending 9
-- appending: 9
sending 10
c2 sink: 10
sending 11
-- appending: 11
sending 12
c2 sink: 12
sending 13
-- appending: 13
sending 14
c2 sink: 14
sending 15
-- appending: 15
sending 16
c2 sink: 16
--finish sub: [5, 7, 9, 11, 13, 15] : 2022-09-08 22:45:59 +0000
values: [5, 7, 9, 11, 13, 15]

A: I may not understand your problem statement, but let me try.  See the playground below.
My integers is the same thing as your pub but without the global variable.  Hiding it in the scan operator will keep anyone else from messing with it :-)
Next, you want all the integers greater than 4. So we create a signal for that with moreThan4.  I'm going to use that as the base for more than one other signal that should all share the same value so I added the .share() operator.
Now you want the system to signal you when it first encounters a value greater than 4.  Let's capture that explicitly with a signal.  startCollecting will send a message when the first value greater than 4 is encountered.
When we get that message we want to transform it into a new signal.  Transformation is the job of a map operation.  In this case we want to transform the message into a new signal (instead of into a new value). The operator for turning values into new signals is flatMap.
The signal we want to transform the "start collecting" event into is one which reads from moreThan4 over time interval.  And we only want to measure the first time interval.  So we express that in code... collect from moreThan4 for 5 seconds and return the first such collection.
Is that what you were trying to accomplish?
import Foundation
import Combine

let integers = Timer.publish(every: 1.0,
                             on: RunLoop.main,
                             in: .common)
    .autoconnect()
    .scan(0) { count, _ in
        return count + 1
    }

let moreThan4 = integers
    .filter { $0 > 4 }
    .share()

let startCollecting = moreThan4.first()

let subscription = startCollecting
    .flatMap { _ in
        moreThan4
            .collect(.byTime(RunLoop.main, .seconds(5)))
            .first()
    }
    .sink { print($0) }

redpajama_set_name: RedPajamaStackExchange


text:
User Behavior Analytics, Redefined
Zero in on the true positives with a model-first approach
Many of the security threats that organizations face every day are technological in nature, but at their core they are still perpetrated by people. This applies regardless of whether the threat is a network exploit or the theft of valuable intellectual property. Moreover, not all threats originate from outside an organization; often it is the trusted insider who poses the greatest risk.
Further complicating matters is the fact that an insider threat can originate from a variety of situations. Some attacks will be malicious — perhaps from the greedy accountant who sees an opportunity to steal money, or the disgruntled IT support rep bent on sabotaging his company's computer systems. But other threats could be due to a willfully negligent employee who misuses his work computer and exposes sensitive customer data, or from a distracted manager who unwittingly clicks on a phishing link in an email.
In this multilayered and asymmetric security environment, security decision-makers must therefore be effective at managing not just the technological aspects of risk but the human element as well. Failure to do so could result in harm to the enterprise's finances, personnel, assets, networks or reputation.
Since the mid-1990s a growing number of companies have responded to the rise of cyber threats with tools designed to detect and analyze a range of adverse events. Initial solutions focused on 'end-point' devices such as laptops, then expanded in the early 2000s to detect threats across entire networks. Big-data analytics came along in the mid-2000s to aggregate and correlate burgeoning volumes of threat information across networks and devices, spawning a family of solutions called security information and event management (SIEM).
SIEM tools have evolved considerably in the last 10 years or so, but remain centered on collecting and correlating network events. In response, the security analytics community has started deploying a new generation of more sophisticated solutions generally known as user behavior analytics, or UBA* for short.
UBA is primarily focused on human activity and behavior, and is well suited to applications for detecting cyber attackers and insider threats. UBA solutions use a combination of analytic approaches — including rules-based, pattern-matching and statistical methods, and in some cases supervised and unsupervised machine learning — to establish baselines of how people typically use networks and devices, and then to detect significant anomalies in their behavior and send alerts to security analysts for further validation.
Source data for UBA systems typically includes structured data such as logs from network activity, SIEM and other devices. Gartner adds that ingesting unstructured information such as performance appraisals, travel records and social media activity "can be extremely useful in helping discover and score risky user behavior" because it provides better historical context.
Focusing on user behavior is a step forward for security analytics, but it won't be sufficient to counteract the latest wave of rapidly evolving threats. In this white paper we will examine important lessons learned from the application of current UBA solutions, and describe a model-based approach that fundamentally redefines what we mean by effective user behavior analytics.
The data paradox
In today's security environment, threat data is plentiful. As this bow wave of data increases, expectations for harnessing it to solve complex insider threat problems are also rising.
Unfortunately, many existing data mining techniques and SIEM/ UBA tools fail to solve such problems, and in some key respects they actually make matters worse. Patterns are discerned where there are none, key signals are missed entirely and false positives rapidly escalate. The cybersecurity company FireEye recently polled C-level security executives at large enterprises worldwide and found that 37% of respondents received more than 10,000 alerts each month, of which 52% were false positives and 64% were redundant alerts. This represents a huge burden on companies, since approximately 40% of them manually review each alert, overwhelming their analyst teams.
With the continuing proliferation of smartphones, wireless networks and (most recently) Internet-of-Things (IoT) devices — not to mention the people using them — the volume, velocity and variety of signals containing potentially actionable threat intelligence will balloon even further, meaning the 'analyst overload' problem will only get worse.
UBA lessons learned
Over the last several years Haystax has worked with leading private-sector enterprises, and with agencies in the US government, developing and deploying risk management software solutions across a variety of critical missions. One key area of specialization has been insider threats.
This experience has given us a front-row seat on the issues organizations confront every day as they work to implement a comprehensive insider threat mitigation program across their enterprise. Here are the five most common lessons our partner organizations have learned.
1. Rules-based and ML solutions are inadequate on their own
The most well designed insider threat program will fall short if it relies solely on the analytical outputs of rules-based or machine-learning systems to monitor user and device behavior. Rules-based systems do well at flagging anomalies based on known behaviors but also tend to be too coarse-grained for the threats they are trying to detect, leading to an excess of red flags (most of them false positives) that overwhelm analysts. If more rules are added to manage a growing list of exceptions, then the entire system becomes unwieldy very quickly.
Machine learning systems can handle massive quantities of log data and automatically recognize patterns and correlations in that data 'on the fly' – but the systems must constantly be trained and retrained by experts. They tend to miss weak signals because they rely on statistical correlation, and they can't say why a particular activity is anomalous. Moreover, like rules-based systems they are ineffective at detecting unprecedented 'black swan' scenarios, including many of the latest wave of asymmetric threats.
As threats have proliferated, the limitations of these data-driven UBA approaches have become increasingly apparent. Even more troubling: by the time a threat is detected, the attack has already occurred.
2. There is no substitute for human reasoning
What all strictly 'big-data' systems have in common with each other is a lack of expert human judgment, operating on the opposing principle that 'the data is the model.' To be truly effective, though, UBA solutions must reason the way the best analysts do – by assembling many pieces of disparate information about an individual and fusing them into a picture of composite risk. In fact, in today's multilayered threat environment they must leverage the combined wisdom of multiple experts across multiple domains. Given the scale and speed of the incoming data being analyzed, the analytics must be able to automate much of this human reasoning process, allowing the system to scale up to process thousands of events continuously as though they'd been individually evaluated by a team of experts.
3. Cast the widest possible net for threat signals
Existing enterprise systems contain a wealth of data that can provide key insights and indicators to enhance the overall signal. But absent sufficient internal resources to analyze them properly, the signals are often ignored. UBA solutions should take advantage of as many internal sources as possible, not just badge scans and existing network feeds but also performance reviews, travel documents, HR records, CRM data and threat intelligence feeds. Even public and third-party sources – for example, criminal and financial records, as well as open-source data – should be used for evidence that can bolster often weak internal signals. And an effective system should be adaptable enough to leverage these sources without requiring complex integrations or the building of an entirely new infrastructure.
4. Scalability is more than a matter of computing capacity
It goes without saying that a modern analytics solution must be designed for scale. But for threat detection and analysis, scale means much more than managing large amounts of data with computational power and throughput. Most critically, the system must be designed to minimize the number of analysts required to investigate alerts, even as the data load grows exponentially.
Reducing false positives and focusing analysts on the most important risks while absorbing an ever increasing amount of data therefore requires an additional layer of sophisticated reasoning algorithms that can fuse a wide variety of data types to provide the context needed to rapidly identify serious threats – without generating correspondingly high volumes of nuisance alerts.
5. Avoid black boxes and walled gardens
Many of the rules-based and machine-learning systems being deployed today are closed-loop or 'black box' solutions, meaning the underlying analytic processes and algorithms remain unknown to the user. The bulk of today's cases revolve around sensitive personnel and corporate security issues, and any deployed system must provide transparency into what factors raised an individual's threat score, and when. Organizations that take proactive steps to mitigate risks must be able to explain and defend how and why they arrived at their decision.
Likewise, in order to tap into multiple data sources for context and reinforcement of weak signals, UBA system interfaces must be open. This enables effective system integrations and avoids the common traps of walled gardens, vendor lock-in and expensive data integration projects. The solution should provide a means not just to bring data in but to share the UBA solution's insights with other enterprise systems.
Three must-have ingredients for successful UBA
As organizations have learned what doesn't work well from their own experiences, they have developed a clear sense of what is required to prevail in today's evolving threat landscape. And there is an emerging consensus among them that any UBA solution that aspires to manage insider threats as part of a world-class enterprise security and risk management program must have the following three core characteristics.
Organizations want more than just a threat detection system that tells them an attack has already taken place. They need an early warning system that allows them to anticipate major adverse events through a comprehensive threat assessment framework that leverages all available internal and external data, while producing far fewer false positives. The way to do this is to build an expert model of their specific security challenges, in coordination with their own analysts, and then run all available and relevant data sources against that model in software, and in real time. Another key to becoming more predictive is that the system must be able to display indicators and issue alerts as soon as a high-priority risk is detected.
The system must be able to evolve as the understanding of a threat improves over time, and to adjust to shifting organization-specific needs. It also should be able to integrate with existing enterprise systems that contain potentially valuable intelligence. The capability should additionally be flexible and open enough to provide transparency and traceability in analytic results, and it naturally must comply with an organization's own security protocols and technology standards.
The system must be able to absorb new data loads regardless of format or volume, as soon as the data becomes available. More importantly, as threats spike, the system should be able to handle the increased load without either bogging down or producing a surge in false positives that overwhelms the existing analyst team. And the system must scale to an organization's national or global footprint as it grows.
A model-first approach to UBA
Haystax Technology believes that decision-makers get better answers to complex problems — and start getting them more quickly — when careful analysis takes precedence over 'big data' collection and mining. That is why we first define a problem set and extract knowledge from subject-matter experts and reference materials, then build a mathematical representation, or model, of that particular problem domain. Only then do we identify and apply data to the model.
Our unique patented approach blends the resulting qualitative model-based expert judgments with quantitative artificial intelligence techniques to find threat signals buried inside multiple internal and external data sources, producing prioritized indicators of risk and rapidly delivering those indicators as actionable intelligence to analysts and decision-makers.
Haystax's fully operational UBA solution, known as Constellation for Insider Threat, has been deployed at public and private organizations to establish and continuously validate the trustworthiness of personnel (plus contractors and vendors), regardless of their roles or the level of potential risk they pose.
Within an enterprise, typical users and uses for the Haystax solution include:
Corporate security and information security leaders (CSOs and CISOs, mostly) who manage analyst teams in security operations centers (SOCs), to proactively identify high- risk personnel, activate security protocols as needed, add individuals to watch-lists and inform other business leaders within the organization.
Corporate legal teams, who can apply analytic results to build investigative cases.
Business owners, for monitoring threats to high-value assets such as product IP, sensitive corporate data, systems and networks, money and facilities.
CIOs, to monitor access privileges and adjust access levels of personnel based on their threat scores.
HR departments, to identify potential 'leavers' among their high-value talent, plus disgruntled or agitated employees.
One of the key benefits of the Haystax solution is that it will indicate not only insiders who might do harm to an organization, but also individuals who exhibit the highest levels of trustworthiness and the least number of issues of concern, as well as everyone in between.
Because it starts with a model, Constellation for Insider Threat is the opposite of most data-driven UBA solutions deployed today, providing users with a more predictive way to pinpoint their highest-priority threats at very large scale without being deluged with noisy alerts or having to hire an army of analysts.
Constellation for Insider Threat is the ideal solution for users who:
Must anticipate events that are rare, or may never have happened before.
Are operating in conditions where supporting data is missing, unavailable or conflicting — or when there's a lot of data, but no one is sure if it's the right data.
Must account for causality or be able to identify the chain of reasoning between evidence and inference.
Must be able to provide consistent, repeatable and analytically defensible results.
Want to deploy a usable capability quickly (i.e., within weeks) and fine-tune it over time.
In fact, for the particular kinds of risk and uncertainty that our users manage on a routine basis, they believe this model-driven UBA approach is crucial to the success of their enterprise security risk management programs.
Bayesian networks and AI
Haystax builds several types of models, but the most critical is the Bayesian inference network, which is able to efficiently represent probabilistic knowledge about a complex problem domain and then use that knowledge to reason intelligently in the domain under conditions of uncertain, incomplete or even contradictory data.
The Bayesian network first captures a set of top-level concepts from the problem domain. For example, for insider threat applications it seeks to know above all else if a person is trustworthy, or reliable. It then captures the relationships between the concepts (e.g., 'trustworthy people are likely to be reliable'), and most importantly the strength of the relationships between the concepts (e.g., 'trustworthy people are likely to be very reliable').
In addition, the Bayesian network (see image below) captures our knowledge about how knowing one concept influences our belief in another concept. When concepts and their influences are connected together in a multi-level network, Bayesian networks can capture multiple levels of influence, and thus have the ability to express the relationships and dependencies of many related concepts in a complex domain.
Individual nodes of the Bayesian network break each concept down into smaller and smaller sub-concepts until they become causal indicators that are measurable in data. In order to use a Bayesian network as a model, data is applied to it, in a process called ingestion, to set the belief states of the variables. The Bayesian network update algorithm then propagates the beliefs to all other concepts in the model.
Some nodes can be informed fairly directly by input data, but in other cases we will use machine-learning, rules-based and other artificial intelligence techniques — collectively known as augmentation — to enrich the data and generate new events. Augmentation is particularly useful for flagging anomalies and discrepancies, which can then be used as evidence in the Bayesian inference network.
It is important to note that Haystax employs a recurring 'test and tune' process to ensure that all model elements work as expected, and that any model or data issues are identified and resolved quickly. During model tuning we seek out opportunities to define new concepts, new augmentations and new data, and to refine the model accordingly.
The Carbon Model For UBA
The Bayesian network at the heart of Constellation for Insider Threat is a probabilistic model called Carbon that mathematically represents over 700 different human behaviors and life events as key risk indicators, culled from subject-matter experts in psychology, cybersecurity, fraud, HR and other relevant domains (see image below).
Carbon is intuitively simple, in that it uses common phrases and terminologies familiar to all security analysts. It was developed by our data scientists to detect individuals who show an inclination to commit or abet a variety of adverse malicious insider acts, including: committing fraud (see image on page 6); leaving a firm or agency with stolen information, or selling the information illegally; sabotaging an organization's reputation, systems or infrastructure; and committing workplace violence. It also can detect acts of willful negligence and unwitting or accidental behavior that could harm an organization.
In this way Carbon reflects the broad and disparate array of underlying causes and drivers of insider threat behavior. Malicious acts are accounted for with nodes that address factors such as disgruntlement, financial pressures, mental illness, ideology, greed, etc.; negligence is detected with indicators of rule-flouting, hubris, careless attitudes, etc.; and inadvertent behaviors are indicated by fatigue, human error, substance abuse, etc.
Identifying and applying data
One of the added benefits of using a model-first approach is that it provides a structure for identifying data that will be applied to the model. In this way users can select the data they need (and pinpoint any critical data gaps they may have) while ignoring data that's unlikely to be useful.
Data applicable to Constellation for Insider Threat can take many forms. It can be structured or unstructured, streaming or in batches. It can include network and printer activity, building access logs, investigations case data, employment applications, performance reviews, travel and HR records and any other internally sourced documents or files about individuals in the organization. It can also include public records, third-party data and even social media posts and news/RSS feeds related to the individual. Employing simple connectors and configuration tools, users can add new data as they discover it and apply it to the problem at hand.
There are literally dozens of distinct threat signals that could be visible to an enterprise, and for which data is readily available. Among the indicators being monitored within the Carbon model are: pending departmental layoffs (HR plans); accessing workplace at unusual times of day (badge in/out logs); copying or printing large or sensitive files (network behavior, printer logs); unauthorized access and/or escalating privileges (network behavior); poor workplace performance reviews (HR files); financial difficulties (public bankruptcy, divorce records); narcissistic behavior (HR, staff/management reports); substance abuse (public arrest records, SF-86, HR); and family relationship issues (public divorce, criminal records).
The results of this seemingly complex collection of data are made available in easy-to-understand risk ratings that enable an organization to understand, at both macro and micro levels, the specific risks they face. Beyond the simple score, analysts and other users can drill down into the specific factors that led to the overall risk score, ensuring they have a complete understanding of the situation and are able to take appropriate mitigation actions.
Haystax has engineered Constellation for Insider Threat so that it can be extended to handle any velocity or volume of data. And because the system has the ability to map new data inputs in real time, users can get continuously updated awareness of their security environment and immediately detect even slight changes in threat levels.
Constellation for Insider Threat can be run as software as a service (SaaS) in the cloud or on-premises to meet an organization's specific requirements. Haystax deploys each system with a simple interface that contains a variety of visualization and reporting tools so that every user, from an analyst in the SOC to a decision-maker in the C-suite, is provided with a tailored way of viewing data and understanding the risk results generated by the system.
The nerve center of Constellation for Insider Threat is the Dashboard, a single-screen environment for viewing threatening patterns and trends within an organization (see image below). The Dashboard contains windows that highlight specific high-risk individuals as well as organization-wide trends — color-coded and mapped to grids for easy viewing — providing users with a rapid way of understanding what is driving a particular threat. The Carbon model itself can also be viewed in the Dashboard, and users can generate a series of custom reports from on-screen.
Besides displaying analytical results, Constellation for Insider Threat features a series of applications that correspond to existing workflows and additional security-related tasks like managing data on individuals, performing assessments, managing incidents and viewing threat information.
For example, the Assets app helps users analyze in greater depth each monitored individual in the system (see image below), providing all the information they need in one location. Editable data fields include address, contact information and custom tags to describe risk levels, roles in the organization, departmental assignments, etc. An events field captures birth date, education and employment history, awards, military service and other life milestones. Model results displaying specific indicators of the individual's level of trustworthiness can also be viewed in the Assets app.
Personnel assessments are another key element of investigative workflows, providing critical intelligence on staff whose activities have been detected in the system. These can be carried out in the Assessments app. Pre-packaged assessment templates include Supervisor Interview, Insider Employment Application, Insider Risk Level, Insider Watch-List Screening and Insider Reference Check; users can upload their own existing personnel assessment forms as well. These assessments ease corporate workflows and help ensure all those who need to know are kept in the loop when it comes to making critical insider threat-related decisions.
'Know your insider'
Haystax Technology has consistently emphasized a pioneering model-driven approach to security analytics. In our early work on critical infrastructure protection, we built and applied models of threat likelihoods, asset vulnerabilities and post-attack consequences to analyze and prioritize an organization's asset risks.
More recently, we have developed new models and analytic approaches optimized for detecting and prioritizing adverse cyber events — such as malware attacks, financial fraud, IP theft and other exploits — regardless of whether the sources of the threat are trusted insiders, external actors or a combination of both.
This approach enables Constellation for Insider Threat to filter out much of the noise that would be generated by other UBA tools. But it goes a step further as well. By providing additional data on each individual in an organization, a more textured picture behavior is detected early enough to enable a manager to offer help to an employee going through difficulties.
It seems that every time there's a major insider event, we later learn it was possible to conclude from readily available evidence that the individuals behind the events were high risk, or at least were deviating from their normal patterns of life. By favoring a model-driven approach over conventional big-data techniques, Constellation for Insider Threat excels at intelligently correlating information about a person in broader context and in finding individuals who are still in the earliest stages of becoming a threat. In other words, the system is predictive rather than reactive. In addition, the system not only tells our users who may be risky, but why, providing an unprecedented level of transparency to decision-makers.
Thanks to open APIs and simple model tuning, moreover, the system is adaptable enough to integrate with a wide and growing array of existing information sources and SIEM/UBA data, and to keep pace with the latest threats. Finally, Constellation for Insider Threat has already been proven across thousands of personnel at leading corporations and large government agencies, demonstrating that it can scale to the size and scope of any organization, and any threat.
* Leading industry analyst groups use somewhat different terms and definitions for UBA, but all are essentially describing a similar range of features and capabilities. Gartner refers to User and Entity Behavior Analytics (UEBA), Forrester has Security User Behavior Analytics (SUBA) and Enterprise Strategy Group favors Security Operations and Analytics Platform Architecture (SOAPA). In this white paper we will use UBA as the standard term.
About Haystax Technology
Haystax Technology is a leading security analytics platform provider, delivering advanced security analytics and risk-management solutions that enable rapid understanding and response to virtually any type of cyber or physical threat. Based on a patented model-driven approach that applies multiple artificial intelligence techniques, it reasons like a team of expert analysts to detect complex threats and prioritize risks in real time at scale. Top federal government agencies and large commercial enterprises, as well as state and local public-safety organizations, rely on Haystax for more effective protection of their critical systems, data, facilities and people.
The following Haystax Technology team members contributed to this white paper:
Bryan Ware, Chief Executive Officer
Rob Kerr, Chief Technology Officer
Chriss Knisley, Chief Product Officer
Ed Wright, Ph.D., Senior Scientist
Tom Read, Vice President, Security Analytics
White Papers & Resources
CONSTELLATION ANALYTICS PLATFORM >
THOUGHTS FROM OUR EXPERTS >
LEARNING FROM OTHERS >
DOWNLOAD THIS WHITE PAPER >
Download the UBA Redefined White Paper
Download PDF version of User Behavior Analytics, Redefined


President Trump nets millions of dollars each year from a huge Brooklyn apartment complex that's been racking up increasingly dismal inspection scores from the federal government, documents show.
And the complex known as Starrett City in East New York is about to be inspected again, but this time — for the first time — by his administration.
Trump, who holds a 4% stake in Starrett City via a revocable trust, reported the complex generated at least $5 million in income for him last year through April 15, according to financial disclosure forms he filed last week.
Starrett City, a sprawling complex of 46 buildings and 5,881 apartments that sits far out in Brooklyn on the edge of the Belt Parkway, is the nation's biggest federally subsidized apartment development.
U.S. Department of Housing & Urban Development officials say Starrett City has received $491.7 million in federal subsidies since May 2013, including $76.8 million last year and $38.3 million so far this year.
With all that taxpayer money flowing in, the complex is subject to regular HUD inspections. Officials walk the grounds looking for damage, documenting flaws and assessing the owner's ability to keep up with repairs. Doors, walls, bathrooms, kitchens, roofs, smoke detectors — all are inspected.
Records make clear that Starrett City's inspection have trended in the wrong direction for a long time.
In January 2007, Starrett City scored 89 out of 100. That's just below the top score of 90 or above that allows HUD to reinspect only every three years.
The score led HUD to begin inspecting the facility every two years.
In 2009 the score dropped to 77, putting it a tier further down that required annual inspections, records show.
On Tuesday Starrett City officials said the score fell that year as they repaired brick facades as required by the city. The owners spent $30 million to bring the buildings up to code.
But the numbers dropped even lower during the last inspection in October, when Starrett City received its lowest score — 70.
In New York, 85% of the 1,416 landlords receiving Section 8 funding got a better score in their last inspections, records show.
The company said the HUD inspector had cited the complex for what they described as "a series of minor, non-safety issues."
In the last few weeks, however, Starrett has struggled to address yet another issue: a major leak that shut down the cooling pipes that service air conditioning in all its buildings.
With the recent wave of 90-degree days, the owners this week handed out electric fans to bring tenants some relief.
Longtime tenant Luis Serrano, 63, a social services trainer, noticed workers digging up the pipes this week. He said for the most part, management has been very good over the years, but the now 43-year-old complex is showing signs of aging.
"The complex is very good but it's older," he said. "As it's gotten older I think more of these things have occurred."
Starrett City is now in talks with HUD about the upcoming inspection. No date has been set, but HUD spokesman Jereon Brown said it would take place "sometime this summer."
The difference from past inspections is that HUD is now run by Trump's appointee, Ben Carson.
The drop from 89 to 70 put Starrett City closer to the score of 60 HUD deems unacceptable. HUD can terminate a contract with a landlord with two scores of 60.
"Normally when you see a facility with a significant decline in scoring there are several factors," Brown said. "One is the age of the facility, the other is to review and look for a change in management or ownership."
Complex spokesman Bob Liff emphasized that Trump plays no role in managing the complex. Trump's father, Fred, was a limited partner when it was built in 1974 and Trump and his siblings inherited that interest when his father died.
The 4% stake Trump holds was placed in a trust shortly before he became President Jan. 20.
Liff emphasized that the complex "responds immediately to maintenance issues as they arise, whether routine as in response to some of the information in the HUD scores or the more pressing current need to replace aging dual temperature pipes discovered to be leaking during a routine maintenance in the seasonal switch from heating to cooling."
Trump's receipt of income from Starrett City creates a potential conflict for Carson, who will have ultimate say over HUD's next score of the complex.
During his confirmation hearing, Carson wouldn't answer directly when asked if he would make sure Trump and his family didn't make any money via his agency.
"I can assure you that the things that I do are driven by a sense of morals and values, and therefore I will absolutely not play favorites for anyone," he said.


text:
Veteran's Story | A simple act of kindness saved his life
That simple gesture saved Earl Snyder's life, for which he credits God.
Veteran's Story | A simple act of kindness saved his life That simple gesture saved Earl Snyder's life, for which he credits God. Check out this story on mansfieldnewsjournal.com: http://ohne.ws/2ByTojy
Tim Clark, Veteran's Story Published 3:16 p.m. ET Dec. 24, 2017
Earl Snyder at jump school(Photo: Submitted)
Editor's Note: One in a series of stories on local veterans' military service.
Veteran: Earl Snyder, age 68
Branch: U.S. Army
Service period: March 25, 1969, to Nov. 9, 1970
As a member of the 101st Airborne in Vietnam, Earl Snyder didn't make any parachute jumps in-country. "About the highest I ever jumped from was about 15 feet from a helicopter. And that wasn't fun," he recalled.
Earl Snyder grew up in the village of Lucas, in Richland County's southeast corner.
"Until I went to boot camp I'd never even been out of the county!"
Young Snyder experienced quite a shock when he arrived at Fort Gordon, Georgia, saying "They were yelling at us the whole time, they didn't give you time to think and you just did what they told you."
After completion of basic training and a short five-day furlough at home, Earl returned to Fort Gordon for Advanced Infantry Training.
"They trained me to be a mortarman, but that's not what I did in Vietnam. I ended up volunteering for airborne school, which was hell on earth. There's no other way to explain it," he laughed. Snyder recalled airborne training, held at Fort Benning, also in Georgia. "From the time you got up until the time you went to bed, we were running everywhere. Even while in line for chow we literally had to jog in place and when you got your food you just shoved it in because they only gave us two minutes to eat."
He clearly remembers his first actual parachute jump.
Earl Snyder (Photo: Submitted)
"If I could've crapped my pants I would have, that's how scary it was. A lot of guys used the puke bags in the plane before they jumped. The second jump was a little better, the third one I landed wrong and busted my tail bone. Here's the thing: the next morning they made us put on our parachutes and run in a circle. If you limped or anything, they'd pull you out and let you heal but you had to start all over again with the next class. I got out there and ran in pain but I didn't favor it or anything. I wasn't going to do that all again."
Snyder was able, barely, to make his last two qualification jumps and finish airborne school to earn his jump wings. After spending 15 days at home, he then shipped out for Vietnam, leaving from San Francisco and eventually landing at Cam Ranh Bay after a 22-hour flight. A short course in jungle survival was next and then Snyder was reassigned to the 506th Infantry unit.
"They told me 'Ee have enough mortarmen; you're going to train in the operation of starlight (night vision) scopes and ground radar.' They sent me to a school for three weeks, then my job was to get dropped off on a hill top, set up a perimeter with the scopes and the radars and then the colonel's and captain's hootches (housing) would come in."
Specialist 4 Snyder was part of a preparation team that would clear and flatten hill tops for establishment of artillery positions, or fire bases. His electronic equipment, mounted on tripods, helped provide security while the base was being constructed by heavy equipment operators.
"Everything had to be brought in by helicopter," he said. "That was the only way in or out most times. The radars would detect movement down the hill and the starlight scopes allowed us to see at night. Other guys operated the equipment, but I set it all up."
Earl estimated the cost of just one of the large, ground-mounted night vision scopes at $30,000 back in 1970.
Then came the establishment of Fire Base Ripcord.
Ripcord was located not far from Hue City, very close to the A Shau Valley and segments of the Ho Chi Minh trail, down which enemy troops and supplies would travel. Along with FB Ripcord, three other smaller camps were built on nearby hills 805, 902 and 1000, all outfitted with artillery or mortars to support ground operations in the jungle.
"We'd get shot at; they'd lob two or three mortar rounds at us nearly every day," Snyder stated.
On July 1, 1970, the North Vietnamese Army and Viet Cong began an attack on FSB Ripcord and the three smaller bases with a force estimated to be 25,000 men strong. It would last until July 23.
"About three days before that, there was a guy rotating back to the States," Earl recalled. "He asked me why I didn't have a flak jacket (to protect its wearer from shrapnel) and I told him they'd never given me one. He gave me his and he left."
"They started dropping mortar rounds on us; I stepped up out of my hole (fox hole) and tracers started coming at me, so I dove back in. When you'd hear that first one (mortar projectile) hit you'd go running, either in your hole or under a bulldozer or something. That went on for a while, every day, and the 155s (American 155mm howitzers at Ripcord) were being fired constantly. (The day) I got hit, there were eight of us under a bulldozer until we thought they (NVA) were done, so we came out. The (mortar round) that got me hit about (9 feet) from me and knocked me up in the air as two others went off real close. If I'd been on the ground they (the two other mortar explosions) would have killed me."
As it was, Snyder suffered a multitude of shrapnel wounds to both arms and legs; the flak jacket he'd been given just days earlier stopped shards of hot, jagged steel from entering his chest and torso. Earl can't recall much of events after he was wounded, but knows he was evacuated to a medical facility in Bien Hoa before being shipped to a hospital in Japan. In all, he would spend five and a half months in hospitals overseas and in the United States recovering from his wounds before being discharged from the Army, but Snyder stayed in the reserves until 1975. He still carries small bits of shrapnel in his legs.
Fire Support Base Ripcord was evacuated on July 23; B-52 bombers then dropped ordnance on Ripcord to destroy remaining equipment to prevent it from falling into enemy hands. For actions during the siege of Ripcord, members of the 101st Airborne were issued three Congressional Medals of Honor as well as 5 Distinguished Service Crosses. Snyder was awarded a Bronze Star as well as a Purple Heart.
Earl and wife Beverly, married 47 years, still live in the Lucas area and have one daughter, Tracy. He retired from Westinghouse in 1990 and the Snyders now fill their days running an antique store in Lucas, something they've been involved with for 45 years — all thanks to the gift of a flak jacket at Fire Support Base Ripcord.
Tim Clark, a retired local law enforcement officer, is now a freelance writer and has a blog, Through an Old Cop's Eyes. Clark can be reached at oldcop135@gmail.com.
Read or Share this story: http://ohne.ws/2ByTojy


You can outline a a business card to be – a small card identifying an individual in connection with his or her business, given to a shopper, potential buyer, etc. One factor you must do before going to craft shows is to have business playing cards made so individuals can take one in case they need to order later. Disputes between businesses: Business to business relationships might be very useful in creating bigger deals and gaining support in the business world. Business Roundtable is an affiliation of chief govt officers of main U.S. corporations working to advertise sound public policy and a thriving U.S. economy. We will need to have a robust perception in God, which tells us who we are on this world, which informs what we do for our business. It is probably not all the time attainable to have all those features on your card for various causes.
But as months and months passed by and then two years glided by and he still did not want to put any money into the business I realized all the things. Before you open for business or start to promote, examine with your native authorities about having a house business, your state regulations and licensing requirements. He proposed to me a Business Partnership with a Business Goal that was convincing and realsistic and attainable.
In the world of expertise, you must have a advertising plan that features having your website or some social media account. Because statistics of all types could be inaccurate and incomplete measurements, there isn't a reason to vary a business plan or make major choices based mostly on these numbers. Small Business Festival has over 450 events in Melbourne and Regional Victoria to help you start or grow your business 1 – 31 August. To enhance company cash stream, a business must reevaluate and modify its strategies of managing working capital.
Although there are numerous tax planning methods utilized by many small business owners, it is very important select the technique that reduces the quantity of taxable earnings, lowers your tax rate, helps you claim obtainable tax credit, and permits you to control the time to discover a versatile time period to pay off your taxes, therefore serving to your business to succeed.
HARTFORD, CT—Saying the incident had compelled them to completely rethink their previous selections in regards to the man's coverage and how they'd method his policy from right here on out, Aetna executives reported Thursday that the latest heart assault of longtime plan member Michael Burns was a real wake-up name for the 163-12 months-previous insurance coverage firm.


SALVATION OR PROBATION – Which of these do we receive when we believe in the Lord Jesus Christ?
When my son passed away several years ago, I was talking to a friend, and in the course of our conversation, I said that "Bob is safe in the arms of Jesus." My friend said, "Well, you can hope so," indicating his belief that I had no way of knowing for sure that my son Bob, was "safe in the arms of Jesus" Bob, though life was a constant struggle for him, was a believer in the Lord Jesus Christ. My friend is (or was), as many people are, a "Galatians Christian," i. e., one who believes that Jesus puts us on probation. He, quite apparently, believes that salvation consists of Jesus setting us on course, and then we keep ourselves on course by church attendance, good works, faithfully obeying church rules and ordinances, etc., etc., . The Apostle Paul, in Galatians 3 said this to the Galatians Church: "O foolish Galatians! Who has bewitched you? It was before your eyes that Jesus Christ was publicly portrayed as crucified. Let me ask you only this: Did you receive the Spirit by works of the law, or by hearing with faith? Are you so foolish? Having begun by the Spirit, are you now perfected by the flesh?" (Galatians 3:1-3).
When someone believes that salvation through Jesus Christ requires their additional work to be effective, that's an affront to Almighty God. Be they priest or pastor or one who sits in the pew, they are literally "turning to a different gospel!" Are such people saved? It's not for me to judge, however, the shades of doubt are definitely extant in such cases. Paul admonishes the Galatians by saying, "I am astonished that you are so quickly deserting him who called you in the grace of Christ to a different gospel-not that there is another one, but there are some who trouble you and want to distort the Gospel of Christ" (Galatians 1:6,7). Paul says, in effect, that people who add their works to (bolster) the Saving Work of Christ on Calvary are preaching a gospel different from the Gospel preached by Christ and the apostles. They preached the Gospel of salvation by grace through faith in Christ as revealed in Holy Scripture. The Holy Spirit, through the writer of Hebrews says that Christ, as the One who broke the power of sin and death by His resurrection from the dead, is "able to save to the uttermost all those who come to God through Him, since He always lives to make intercession for them" (Hebrews 7:25). I pray that my friend by this time has come to realize the Scriptural assurance in Christ that all believers should have. Christ is not a probation officer, He's the Savior!
A sinner saved by grace!


text:
{
    gacm.clearEvent('screen_profile_init');
    gacm.on('screen_profile_init', init);

    function init(params) {
        console.log('log screen_profile_init init');

        var ractive = new Ractive({
            el: 'wrapper',
            template: params.template,
            data: {
                greeting: 'Hello',
                recipient: 'Profile 2'
            },
            dashboard: function() {
                gacm.emit('route', 'mrat_dashboard.html');
            }
        });

    }
    gacm.emit('screen_profile');
}


text:
export default function substring(string, length) {
  if (string.length < length) {
    return string;
  }
  var idx = string.lastIndexOf(' ', length);
  if (idx === -1){
    return string.substring(0, length);
  }
  return string.substring(0, idx);
}


Hi All, I am a prospective buyer of a LS, and have been reading the available on-line docs and posts to see its abilities and limitations. My attraction to it is its RTK abilities in tough conditions. I hope to integrate into my tool box initially for locations, but would use its additional features over time as I become comfortable with them. My area has good cellular and RTN coverage, so for the moment I will work with out a local base.
The first would be to put the NMEA stream out of the LS by bluetooth, and then process it in my collector with a rolling average for a few epochs after the LS (and me) are happy with the results, and if the average and SD look good, save it in my collector. This will work, but will slow down the collection process and require me to use both systems for every shot.
The second (and I think preferable) would be to transmit "accepted", finished points (or groups thereof) to my collector via bluetooth. I see online screen-shots for the LS showing a "Generic Bluetooth Data Exchange" and a "Leica GSI Bluetooth Export". I cannot find any other references to these processes, and am curious if they actually are usable, and if they they send ASCII data over bluetooth serial protocol that I can use at my end?
Hi Jim, I like to transfer data using dropbox. It is linked to my LS and as long as I have internet then I have access to my files. Otherwise I just use a thumbdrive.
HI Adam, my collector does not have wifi, I substituted the SD1000 in its place. A thumbdrive or SD is certainly an option, but requires manually moving the card. It never seems to fails that the transfer ends by me dropping it in a snowbank or mud puddle. The bluetooth transfer would make the process physically simpler. I am really interested if anyone has used the bluetooth transfer routine and what bluetooth device the LS can talk to at the other end.
Thank you Matt, that is exactly what I am looking for.


Home // Our Thinking // Is Your Big Data Driving Dollars…Or Distraction?
Is Your Big Data Driving Dollars…Or Distraction?
Here's a pop quiz for you: By how much has your big data initiative raised retail sales in the last year? If you don't know, you're not alone. Retailers of all sizes struggle to realize ROI from their data. While the reasons why can and do vary, one of the biggest issues when it comes to analytics is this: retailers get so sidetracked by the possibilities of big data that they forget to stay focused on turning that data into dollars.
Did you know that some marketers use big data to make customer-focused decisions only 11 percent of the time? And a whopping 60 percent of CMOs admit to neglecting customer insights they could derive from big data. Which begs the question: Just what are marketers doing with analytics?
Frankly, modern big data dashboards are interesting and fun to play with. Users can ask virtually any question about their customers and quickly receive gorgeous charts and graphs that present related data. Not a bad way to spend an afternoon.
It's possible, and sometimes really exciting, to explore big data at a granular level, but does knowing the, let's say, sock color preference of one specific customer really impact your bottom line? When everyone is hung up on marginal data points they forget to focus on metrics that have impact on dollars.
In order to keep focused on data that drives dollars, leaders must adjust their approach. The key is to keep data at the center of all decision making. Big data is not a toy—it's a tool. Instead of playing with numbers, teams should be using those numbers to develop real strategies. Click-through rates are great to know, but instead of focusing on increasing all email clicks, look for insights into what drove customers to click, what those customers are doing once they get to your online store, and what drives them to spend. Use the data not to drive a single click, but multiple conversions.
As big data and analytics become increasingly integrated into retail strategy, it is imperative to keep in mind the end goal of data collection: turning data into dollars. When everyone is focused on that goal, from executive leadership all the way through entry-level associates, you'll know the exact answer the next time someone asks how big data has impacted your bottom line.


Clinker Crushing Plant. CGM Quarrying machines: Clinker Plant Manufacturers - Cement Plants. Clinker is the raw material used to manufacturing the cement.
In the manufacture of Portland cement, clinker Cement manufacturers purchasing clinker usually grind it as an addition to their own clinker at their cement plants.


African countries must level up on their ability to measure services trade and use services to grow their economies and value chains.
Africa is ready to take advantage of its rapidly growing services sector but needs to step up its analytics game to play a more active role in global and regional value chains.
This was the consensus among African countries participating in a joint UNCTAD-United Nations Economic Commission for Africa (UNECA) project on services trade.
The project is helping train African experts to do just that: measure the contribution of services to regional value chains and explore the role of domestic and foreign firms.
In partnership with Ethiopia, The Gambia, Kenya, Mali, Nigeria and Togo, UNCTAD-UNECA delivered a three-day 'train-the-trainers' seminar, in Addis Ababa, Ethiopia, from 29 to 31 January.
The focus was on how to unlock potential in three services sectors – transport, financial services and tourism – in those countries, and help African countries acquire the necessary skillset to measure and monitor services trade value chains.
"Services offer African countries an important opportunity to diversify production away from traditional sectors and engage in activities with higher value added," says Paul Akiwumi, UNCTAD's division head for Africa, least developed countries and special programmes.
Services trade can also support the aspirations of the African Continental Free Trade Area (AfCFTA) agreed by African leaders in March 2018.
The AfCFTA seeks to establish a single market for goods and notably services. To date, 16 countries have ratified the agreement.
But turning the AfCFTA vision into a reality has proved challenging, especially when it comes to services trade, says Stephen Karingi, UNECA regional integration and trade division director.
"One of the main stumbling blocks to the implementation of trade services-related policies is the lack of understanding and quantification of services trade, and more generally, the role services play in regional and global value chains," Mr. Karingi says.
Raising the profile of services in Africa may offer promising opportunities for export diversification, services-led transformation and services trade-led growth.
Africa stands to gain from sharpening its ability to measure and analyze services value chains.
That is why policymakers are committing to levelling up their services analysis skills to design services policies aimed at increasing integration into regional and global value chains.
UNCTAD economist Claudia Roethlisberger told attendees that services have become essential for countries' ability to participate in global and regional value chains.
"The continental market brings immense opportunities for shaping Africa's services trade, creating and supporting services regional value chains and regional integration," Ms. Roethlisberger said.
In practical terms, unlocking this potential requires services trade to be better understood and supported in policy-making processes.
UNCTAD and UNECA's seminar series helps deliver this through user-friendly tools and capacity-building initiatives like the seminar of African trade analysts and policy makers.
Workshop participants dug deep into the details of the data and methodologies on how to construct reliable indicators on services trade and trade in value added.
Country delegations and experts discussed quantitative and qualitative tools to measure the contribution of services to value chains.
Ms. Ya Awa Nyassi from The Gambia highlighted the possibility of engaging industry associations to select firms to survey and interview and confidentiality was essential for useful inputs.
Mr. Kossi Abiguime from Togo also emphasized the need to adapt the survey to country contexts.
Participants are already seeing the value of measuring services trade. Ethiopian and Kenyan delegates found transport sub-sectors where they expect the project to generate value.
They now want to assess how transport services support horticulture and manufacture exports and the how transport of the freight industry facilitates regional value chains.
Mr. Sidy Keita and Mr. Sidy Boly from Mali discussed how surveys can be adjusted to measure the tourism sector.
The project is filling important and practical knowledge gaps for the continent. "We are addressing the lack of understanding and quantification of services trade in Africa," Mr. Karingi said.
Given that many services sectors employ many women, services trade can also have significant gender impacts and offer new opportunities for women in Africa, ensuring no-one is left behind, added Mr. Akiwumi.
"This will increase their ability for income generation, boost their development outcomes and contribute to realizing the targets of the Sustainable Development Goals," he said.
The project is funded by the United Nations Development Account.
In 2016, about 55% of Africa's GDP was generated by services.
The share of services in Africa's trade reached 22% in 2016, following a steep increase and catching up process to the global average of 24%.
In 2017, Africa accounted for only 3% of the world's total services imports and 2% of the world's total exports of services.
Removal of tariff barriers will increase intra-African trade by 50%.
The improvement of trade facilitation will more than double the intra-African trade.


text:
Q: Securing TCP communication between processes on Windows I have a .NET Application and a Windows Service, both run on the same machine. Application runs in a non-administrative user session.
Application communicates with Service via TCP.
Is there a way to secure this communication using standard API?
I need to ensure that Service accepts connections from my Application only, and it is not altered.
For instance, service requests OS to issue a security token, which can only be read by my Application executable with original control sum, then Application reads the token, sends it over to my Service when establishing the connection, and Service requests OS to verify it - something like that.


text:
Membership Become a Member
Become a Member of the National LGBTQ+ Bar Association.
It's Quick, Easy and Secure.
LGBTQ+ Bar membership is open to all legal professionals and law students without regard to age, race, religion, gender, color, national origin, ancestry, disability, political affiliation, sexual orientation or gender identity. The LGBTQ+ Bar actively seeks the involvement of individuals from every segment of our diverse community, and particularly welcomes the participation of people of color and persons with disabilities.
Receive Breaking News
Members receive not only the LGBTQ+ Bar e-newsletter, but also news alerts and invitations targeted by geographic region and practice area.
The LGBTQ+ Bar maintains various resources, including directories and online community platforms, intended to help members build the relationships they need to succeed. These communities include Family Law, Trust & Estate Planning, Law Professors and Legal Scholars, Patent Law, and Corporate Counsel.
Outstanding CLE at a Reasonable Cost
As a member, you will receive discounted registration to attend the annual Lavender Law® Conference and Career Fair, which includes over 40 workshops available for continuing legal education (CLE) credit in approved jurisdictions. The LGBTQ+ Bar also periodically offers video and audio programs available for CLE credit.
Access our Job Board
The National LGBTQ+ Bar Association's Job Board allows LGBTQ+ legal professionals and law students to connect with employers interested in LGBTQ+ diversity and inclusion.
Connect with and Celebrate Friends and Colleagues
The LGBTQ+ Bar hosts events like the Lavender Law® Conference and Career Fair, Out & Proud Corporate Counsel Award receptions and the Allies for Justice Award receptions, which provide unique opportunities to honor esteemed colleagues and network with LGBTQ+ legal professionals and law students.
Participate in our Committees and Working Groups
One of the many benefits of an LGBTQ+ Bar membership is the opportunity to be part of the action! Volunteering on a committee or working group is a great way to join colleagues with whom you share interests and work responsibilities. Committee work provides an ideal way to get involved in the work of the LGBTQ+ Bar as well as opportunities for networking and for sharing information, ideas and best practices.
Yearly Dues*
Law Student $40
Retired $50
Young Lawyer, less than 5 years in the profession $50
Professional: 5 – 10 years in the profession $100
Professional: 10+ years in the profession $200
Professional: Other legal professional $200
Family Law Institute Usual LGBTQ+ Bar Membership dues + additional FLI dues.**
*The National LGBTQ+ Bar Association is a non-profit trade association exempt from income tax pursuant to Internal Code Section 501(c)(6).
**FLI dues are based on income: Income level $30,000 to $50,000 has a dues rate of $35.00. Income level $50,000 to $70,000 has a dues rate of $50.00. Income level of over $75,000 has a dues rate of $75.00. Income level of under $30,000 has a dues rate of $20.00. Please contact Judi O'Kelley at judi@lgbtqbar.org if you have any questions or concerns regarding becoming an FLI member or FLI dues.
Special Discount for Members of LGBTQ+ Bar Affiliates!
Members of the LGBTQ+ Bar's Affiliates may join the LGBTQ+ Bar or renew their membership dues at 50% off the standard dues rate. Please contact your affiliate for the discount code.
Members of the LGBTQ+ Bar also receive a discounted rate for a subscription to the Tulane Journal of Law & Sexuality. Please contact programs@lgbtqbar.org for more information.
If you do not know your LGBTQ+ Bar username, you can request it by emailing info@lgbtqbar.org. Passwords cannot be provided by LGBTQ+ Bar staff, but may be reset on the Log In page.
Moved? Changed Jobs? Membership Questions?
We love to hear from our members! Please send any updates and/or inquiries to info@lgbtqbar.org.


text:
Supporter at western PA rally: 'I truly believe Donald Trump was sent by God'
Supporters came from near and far to attend President Trump's speech Thursday
by: CNN Newsource
Posted: Sep 4, 2020 / 07:31 AM EDT / Updated: Sep 4, 2020 / 09:13 AM EDT
(CNN) – President Trump visited western Pennsylvania Thursday for the first time since last year.
Supporters started lining up hours before his speech in Latrobe. They came from near and far to attend the president's rally.
"Signifies my support for strong border policies to keep our country safe," said Blake Marnell, of California, talking about his wall-inspired outfit.
One man said he believes Donald Trump was sent by God.
"I'm not kidding, I truly believe Donald Trump was sent by God. True," said Edward X. Young, of New Jersey.
Pennsylvania is a battleground state for the 2020 election.
Democratic nominee Joe Biden also gave a speech in Pennsylvania on Monday.
More Pennsylvania Stories
Gov. Tom Wolf orders commonwealth flags to be flown at half-staff to honor late State Sen. David Arnold
by WKBN Staff, The Associated Press / Jan 17, 2021
HARRISBURG (WKBN) - Pennsylvania State Sen. David Arnold (R-48th) died Sunday following his ongoing battle with brain cancer.
Republican Sen. Dave Arnold of Lebanon County died Sunday at home with his wife and daughter by his side, his family said in a statement. Arnold was 49.
Coronavirus in Pennsylvania: 7,166 new cases, 231 new deaths reported
by Chelsea Simeon / Jan 16, 2021
(WKBN) - The Pennsylvania Department of Health reported an additional 7,166 positive cases of COVID-19 and 231 new deaths since Friday's report, when 6,047 new cases and 215 more deaths were reported.
That brings the statewide total to 761,777 cases and 19,188 deaths attributed to COVID-19.
Gov. Wolf: $2.2 billion in COVID-19 funds for K-12 schools
by Kelsey Rogers / Jan 15, 2021
HARRISBURG, Pa. (WTAJ) — Governor Tom Wolf is dedicating $2.2 billion in federal COVID-19 funds to K-12 schools affected by the pandemic.
The federal relief is provided by the bipartisan fund passed by Congress in December of 2020: the Coronavirus Response and Relief Supplemental Appropriations Act's Elementary and Secondary School Emergency Relief (ESSER II) Fund.


text:
namespace WebKit {
class WebFileWriterClient;
class WebURL;
}

namespace fileapi {

class WEBKIT_STORAGE_EXPORT WebFileWriterBase
    : public NON_EXPORTED_BASE(WebKit::WebFileWriter) {
 public:
  WebFileWriterBase(
      const GURL& path, WebKit::WebFileWriterClient* client);
  virtual ~WebFileWriterBase();

  // WebFileWriter implementation
  virtual void truncate(long long length);
  virtual void write(long long position, const WebKit::WebURL& blobURL);
  virtual void cancel();

 protected:
  // This calls DidSucceed() or DidFail() based on the value of |error_code|.
  void DidFinish(base::PlatformFileError error_code);

  void DidWrite(int64 bytes, bool complete);
  void DidSucceed();
  void DidFail(base::PlatformFileError error_code);

  // Derived classes must provide these methods to asynchronously perform
  // the requested operation, and they must call the appropiate DidSomething
  // method upon completion and as progress is made in the Write case.
  virtual void DoTruncate(const GURL& path, int64 offset) = 0;
  virtual void DoWrite(const GURL& path, const GURL& blob_url,
                       int64 offset) = 0;
  virtual void DoCancel() = 0;

 private:
  enum OperationType {
    kOperationNone,
    kOperationWrite,
    kOperationTruncate
  };

  enum CancelState {
    kCancelNotInProgress,
    kCancelSent,
    kCancelReceivedWriteResponse,
  };

  void FinishCancel();

  GURL path_;
  WebKit::WebFileWriterClient* client_;
  OperationType operation_;
  CancelState cancel_state_;
};

}  // namespace fileapi

#endif  // WEBKIT_FILEAPI_WEBFILEWRITER_BASE_H_


Update your collection or someone else's with the ultimate set of all four Lincoln anniversary cent designs! Each design comes showcased in Littleton's exclusive Showpak® holder!
Every 4-coin set holds: Uncirculated Philadelphia & Denver Mint coins, plus Littleton's special full-color issue and 24K gold-plated version.
Get all four Ultimate Lincoln Head Cent Showpaks today, and you'll SAVE!


Welcome to Golden Kids Dental and Orthodontics!
Our office is located in beautiful historic Golden Colorado. Our patients come from all surrounding foothills cities (Lakewood, Littleton, Arvada, Wheatridge) for our quality pediatric dental care, teen dentistry and orthodontics for all ages. Conveniently located for all of Jefferson County and Gilpon County, we pride ourselves on the level of "kid-friendly" services we provide with an emphasis on building a long term relationship with our patients to grow a lifetime of healthy smiles. It is our goal to make your child's experience with the dentist a great one. Our dentists and team specialize in working with children and we utilize all types of techniques to ensure our patients visits are a positive experience. Our dentists and orthodontists work closely together to ensure your child receives unmatched quality of care.