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The Silk Roads: A New History of the World - Illustrated Edition
Peter Frankopan (Author) Neil Packer (Illustrator)
Set your sails east with this stunningly original new history of the world. Peter Frankopan, number one bestselling author and historian explores the connections made by people, trade, disease, war, religion, adventure, science and technology in this extraordinary book about how the east married the west with a remarkable voyage at its heart - the journey along the Silk Roads. From ancient world laws laid down by King Hammurabi and the mighty Persian empire, to terrifying huns, the rise of Europe, two world wars and politics today, The Silk Roads moves through time and history sewing together the threads from different peoples, empires and continents into a phenomenal history of the globe. With stories from each and every corner of society, Frankopan's magnificent brand new text based on his literary triumph The Silk Roads, sumptuously illustrated by Neil Packer, is a must-have world history.
Jackie Morris VIEW LIST (19 BOOKS)


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Q: Is there a way to see why Firefox chose a CSS selector over others? I am in the document Inspector window, and have selected the element and checked the "Computed" tab on the side. But that only shows me what values were available for the property and which one was chosen, not why that was chosen.
Basically, I am trying to set a property (width) using a Stylish script, but the site's own setting keeps overriding mine, even though I believe mine has higher specificity - the chosen selector is .class1, whereas my selector is tr td.class1.class2.class3[style] (which I have confirmed is applicable to the element, since it does appear, though crossed out, in the "Computed" pane). Both the site's CSS sheet and my Stylish script use the !important suffix on this property. So, I would like to know why exactly the site's property setting is being chosen over mine.

A: It's a browser related thing. If you say style="", with the empty string, one can ask "Am I actually setting a style, or am I not?". The W3C spec doesn't clarify this point. So I tried the following code in Firefox and IE11:
<div style="">
xx
</div>

and the CSS:
div[style] { border: 1px solid black; }

Firefox clearly thinks this is setting an inline style, and so recognises the selector and shows the border specified, whereas IE11 says no it isn't an inline style and shows no border.

redpajama_set_name: RedPajamaStackExchange


The problem for Democrats is that Trump's approval has always been low and a year of attacks has not markedly changed his numbers. This may be partly due to the large number of different tactics used by the Democrats, none of which has been a home-run. Trump has been charged with not keeping his promises, with having problems with his temperament, with lying and even with colluding with Russia and supporting white supremacists, but none of the attacks seem to be a silver bullet.


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Report: Jazz considering adding Alec Burks, more first rounders to trade offer for No. 1 pick
By Dan FeldmanJun 23, 2014, 10:00 PM EDT
The Jazz reportedly reported offered the No. 5 pick and Derrick Favors to the Cavaliers for the No. 1 pick.
With the Cavaliers getting their preference of Andrew Wiggins and Jabari Parker, they don't want to drop all the way to No. 5 and select a second-tier prospect instead. Favors alone doesn't justify that dropoff.
So, might Utah improve the offer?
Spencer Checketts of 1280 The Zone, via Jody Genessy of the Deseret News:
Jazz are offering up Derrick Favors, Alec Burks and No. 5 pick to Cavs for the No. 1 selection and Jarrett Jack, according to @1280Spence.
— Jody Genessy (@DJJazzyJody) June 23, 2014
Per @1280Spence, Jazz initially offered Favors/5 for No. 1. Cavs wanted unprotected first-rounder. Utah reportedly countered with No. 23.
Jazz front office is reportedly split about including Alec Burks in that trade offer to Cleveland, according to @1280Spence.
.@1280Spence clarified that Favors and #5 are on the table. Alec Burks, #23 and/or an unprotected first-rounder are potential sweeteners.
Burks, a lottery pick just three years ago, posted career highs across the board last season. But it remains to be seen whether the 22-year-old will ever become even an average starter, and he's due a new contract in 2015. He wouldn't tip the scales for me.
In addition to their own first rounder (No. 5), the Jazz have the Warriors' (No. 23) and Golden State's in 2017. There's definitely possibility to create an intriguing package with those and Utah's own future picks.
But this really comes down to highly Cleveland rates their choice between Wiggins and Parker. Even a deal that looks decent on paper wouldn't work if the Cavaliers are much higher on the draft's top player than whomever they can get at No. 5 – and I wouldn't bet on Joel Embiid falling that far, if that's the plan.
Maybe, if Cleveland and Utah share the same preference at No. 1, the Cavaliers could draft that player then re-visit the trade when No. 5 comes up. Otherwise, the Jazz probably really need to add multiple other first rounders.
[Click here for NBA draft gear]

redpajama_set_name: RedPajamaCommonCrawl


MEMPHIS, Tenn. (AP) -- Memphis is becoming a tough place to visit for contenders in the Western Conference playoff race.
''I feel like our motto was - once we were out of the playoffs - it was kind of like, 'Let's mess up other teams' seasons by giving them a loss''' said Delon Wright, who had 18 points and a career-high 13 assists.
''They played great, but that's our fault,'' Schroder said.


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Listen: Fred, Whitebread, Brian discussed on High and Mighty
"It's not. I didn't sound like it was for me, and then I fucking love. It sounds my girlfriend. Put it on. She might get upset what she'll do biscuits and sausage gravy, and then also put like another biscuit with grape jelly and then kind of eat them at the same time. I am on board, looked at me look like you were gonna be. We put a smear of fig jam on my day after thanksgiving. By the way, the day after thanksgiving sandwich is my favorite food sandwich. As a matter of fact, it's usually the eleven pm on thanksgiving. And mayo, integral ingredient, Whitebread integral ingredient. But now my wife spreads a little fig jam little regular on there. Yeah, she's a little bit cranberry sauce. Krikorian fig. I think for me, it's you go cranberry and gravy, or you go fig and Regula for like a fresher sort of like. Yeah, like this on the heavy ripped defend bomb with mashed potatoes of the sandwich. God, I love the fucking thanksgiving sandwich. It's the gablers from Supriyadi. I was in Vegas and they still have those there. And I was like, do I book and stop do? Is this what I get. No, it'll you'll end your day. It'll kill you, dude. That's funny, you say and your day, that's how I talk about all my favorite meals. I can't eat them into relaxed. I can't eat them into. It's like the end of my day. Taco Bell, Chinese, traditional New York, Chinese food and like heavy barbecue on Mike over this. I got my work done this morning almost blew off working out today because my wife just left town and I'm like, well, just get stoned all morning and watch a movie and then eat barbecue at one o'clock with these guys. And then I was like, fuck, you should go exercise when swam, a bunch of apps. And now I feel completely comfortable in in core djing. If you end up behaving Arthur, you will get. If you could end up Abe. I think I had one of these guys on those are the sauce ones. Those are giant. Yes. I'll live. These were, oh shit to pull the veil BAC. So on my birthday, which was in July and July, I bought these ribs. They've been frozen. Doing. I got super drunk on my birthday at had by Fred, drop me off at rally at eleven at night because I do they're having a sale and. So I drug had like a piece of traits legit skate more. And I'm like, not like I'm birthday drug. I'm a mess. Start and he'd our cooking bronze. No, it's I got. I got it. Yeah, I would. I love that that you know the clerks are still talking about that. And I remember when that dude came your book and shit face and left with a bunch of ribs and the real problem. Booze, but with me. I wonder if he's still alive, he'll be didn't eat those. Me said they also know whether or not I've gotten shit done in the morning because it's like, am I obviously in pajamas still walked over there or my like together. Yeah. And so the those review Brian for like six, seven hours about as far as you can go, and then we can't Brian more than that. Oh, you get mushy.."
High and Mighty
Fred, Whitebread, Brian discussed on High and Mighty
2 years ago |
Fred Whitebread Brian Krikorian Regula Taco Bell Supriyadi Vegas ABE New York Arthur Seven Hours
It's not. I didn't sound like it was for me, and then I fucking love. It sounds my girlfriend. Put it on. She might get upset what she'll do biscuits and sausage gravy, and then also put like another biscuit with grape jelly and then kind of eat them at the same time. I am on board, looked at me look like you were gonna be. We put a smear of fig jam on my day after thanksgiving. By the way, the day after thanksgiving sandwich is my favorite food sandwich. As a matter of fact, it's usually the eleven pm on thanksgiving. And mayo, integral ingredient, Whitebread integral ingredient. But now my wife spreads a little fig jam little regular on there. Yeah, she's a little bit cranberry sauce. Krikorian fig. I think for me, it's you go cranberry and gravy, or you go fig and Regula for like a fresher sort of like. Yeah, like this on the heavy ripped defend bomb with mashed potatoes of the sandwich. God, I love the fucking thanksgiving sandwich. It's the gablers from Supriyadi. I was in Vegas and they still have those there. And I was like, do I book and stop do? Is this what I get. No, it'll you'll end your day. It'll kill you, dude. That's funny, you say and your day, that's how I talk about all my favorite meals. I can't eat them into relaxed. I can't eat them into. It's like the end of my day. Taco Bell, Chinese, traditional New York, Chinese food and like heavy barbecue on Mike over this. I got my work done this morning almost blew off working out today because my wife just left town and I'm like, well, just get stoned all morning and watch a movie and then eat barbecue at one o'clock with these guys. And then I was like, fuck, you should go exercise when swam, a bunch of apps. And now I feel completely comfortable in in core djing. If you end up behaving Arthur, you will get. If you could end up Abe. I think I had one of these guys on those are the sauce ones. Those are giant. Yes. I'll live. These were, oh shit to pull the veil BAC. So on my birthday, which was in July and July, I bought these ribs. They've been frozen. Doing. I got super drunk on my birthday at had by Fred, drop me off at rally at eleven at night because I do they're having a sale and. So I drug had like a piece of traits legit skate more. And I'm like, not like I'm birthday drug. I'm a mess. Start and he'd our cooking bronze. No, it's I got. I got it. Yeah, I would. I love that that you know the clerks are still talking about that. And I remember when that dude came your book and shit face and left with a bunch of ribs and the real problem. Booze, but with me. I wonder if he's still alive, he'll be didn't eat those. Me said they also know whether or not I've gotten shit done in the morning because it's like, am I obviously in pajamas still walked over there or my like together. Yeah. And so the those review Brian for like six, seven hours about as far as you can go, and then we can't Brian more than that. Oh, you get mushy..


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Weekly Review of Transit, Place and Culture in Anime 3
by Michael on Jul 28, 2012 • 7:00 am	No Comments
Welcome to this week's review of notable instances of transit, place and culture as rendered in anime currently broadcast in Japan and simulcast internationally via the web. For a detailed outline of the approach, please refer to the explanation in the inaugural issue.
Tari Tari continues to feed us a steady diet of Enoshima and Fujisawa transit and place. Last week we discovered the fan generated Google map, which continues to fill in:
As if that wasn't neat enough, a very enthusiastic viewer, YouTube user tskobaya, has already made a pilgrimage to Fujisawa, where he shot a video comparison of the real places juxtaposed with screenshots of their animated counterparts on his smartphone:
Thanks to the video, we can see that not only are the outdoor scenes true to life, but the cafe interior from episode 3 is even based on a real place where you can go, sit down and order a drink.
This week we have more scenes set at the Enoden line stations, as well as the beachfront cafe (called the "Beach House" both in the show and in real life). Several new places emerge, all on the Fujisawa mainland. Traveling musicians that have come to participate and compete in the town shopping district festival are invited to camp at the grounds of Jōchi-ji, the temple where Sawa's family lives and works. Buddhist temples in Japan often offer accommodations for travelers. While the simple furnishings are ostensibly provided for religious pilgrims, some temples also support their operations through casual tourists. Wakana and Konatsu find the last unclaimed performance space, a small flower shop near Shonan-Enoshima Station. The several scenes set here call attention to a ubiquitous feature of urban development in Japan, the small street. These are generally just wide enough for one car to pass and may have shoulders but no raised sidewalk. The boundary between storefronts, sidewalk and street becomes fluid. While these streets do allow for through-traffic, cars proceed cautiously and there is more equitable sharing of the road among cars, cyclists and pedestrians as compared to main thoroughfares. The animators have a particular affinity for depicting the ornate tiling on the walking paths and erosion barriers along the waterfront, with a few new places added in this episode. At the rate they're going, my guess is we'll have covered everything from Enoshima to Kamakura by the time the season is done.
(ココロコネクト Kokoro Konekuto)
My hunch about this show seems to be playing out, with a noticeable uptick in the amount of public space settings in the most recent episode. Taichi and Himeko are engaged in volunteer litter pickup at a small neighborhood park near the school, where they become involved in a heated exchange over the dangers of the body switching being imposed on their group of friends by a mysterious being. Iori is being raised by a single and absentee mother, and the first time we actually see the two of them together they're meeting not at home but over drinks at a cafe. Taichi and Yui, after switching bodies, meet after dark at a neighborhood park to discuss their predicament. Moving from the park to a walking bridge and riverside walking path, Taichi helps Yui begin the journey of regaining confidence and overcoming the androphobia she has experienced since escaping from a past sexual assault. This delicate exchange wouldn't quite have worked the same over the phone or online. As teens living at home, walkable access to public spaces like this affords them opportunities for privacy that might not be available otherwise.
(夏雪ランデブー)
As in previous weeks, there is strong emphasis on character development and relationships over place, though we do finally get onto the subway and outside of Rokka's flower shop and surrounding blocks. The Hanayashiki amusement park in Tokyo's Asakusa district isn't exactly the kind of place we're focusing on for this analysis, though it does help us with some bearings. Unless I've missed it, I don't think the show has indicated a specific location for its setting, but it's clearly meant to be a neighborhood either in Tokyo or a reasonable train ride into town. Ryusuke and Rokka eat lunch at one of the food vendors on the grounds of nearby Sensō-ji, a very famous Buddhist temple dedicated to the bodhisattva Kannon. Asakusa is a fond personal memory for me, as it was literally (not counting Narita Airport) my first glimpse of life in Japan. I stayed in a ryokan there for a week while I waited for my dorm room in Jinbōchō to become available. I remember Asakusa as being the antidote to the glitz and glamor of hubs like Shinjuku, Shibuya and Ginza, where most tourists (and plenty of locals) flock. It is a better known part of the large area referred to as Shitamachi (下町 low city), a simpler and less-affluent side of Tokyo well suited to quiet, contemplative wandering.
Humanity Has Declined
(人類は衰退しました Jinrui wa Suitai Shimashita)
Humanity moves to the back burner, at least for our purposes, this week. Most of the episode has the main characters trapped in a blank manga volume, which they must fill with with narrative in order to progress through the panels and escape. There are a few more quick swipes at consumerism, but this is an otherwise a typical self-referential, self-deprecating commentary on the state of the manga and anime industry in Japan. I'm hoping we get back to playfully weird next week.
Weekly Review of Transit, Place and Culture in Anime 12 Weekly Review of Transit, Place and Culture in Anime 5 Weekly Review of Transit, Place and Culture in Anime 4 Weekly Review of Transit, Place and Culture in Anime 2
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This duo is action packed! We've paired our Natural Beauty Foundation with our translucent Rice Powder Mineral Veil...you've got your mineral veil on top and mineral foundation on the bottom! So convenient! Give your foundation an even surface to build upon, control shine and enjoy a matte finish with this dynamic duo.


Nonetheless. Purpose perhaps but no need.
This entry was posted in nature, out in the world, poetry and tagged camera obscura, depth of field, photography, poetry, seeing, vibrancy, What Is on November 17, 2013 by janicesandeen.


SXSW: What TV Shows Are Heading to the Austin Festival?
Now in its 30th year, SXSW is heading back to Austin for more than a week filled of music, screenings, BBQ and tacos — and this year, television has a major presence at the Texas fest. Historically a celebration of film, music and interactive events, SXSW started introducing TV to its lineup with panel, screenings and stunts over the past few years, as part of the "episodic" programming.
Get your money-laundering and fried chicken all in one place! Stop by the "Better Call Saul" and "Breaking Bad" iconic fast food chain for a one-of-a-kind experience and for a fresh order of Gus Fring's famous curly fries.
For a chance to win access to this exclusive autograph signing with "Preacher" executive producer Seth Rogen and co-executive producer/comic book writer Garth Ennis, comment on the "Preacher" Facebook post marked with #Sweeps and #PreacheratSXSW anywhere in the Austin area as the sweepstakes is geotargeted.
For more "Better Call Saul" fun, check out the second day of the Los Pollos Hermanos popup.
After the world premiere screening of Starz's television adaptation of author Neil Gaiman's "American Gods," Bryan Fuller and Michael Green will join cast members Ricky Whittle, Ian McShane, Emily Browning, Pablo Schreiber, Crispin Glover, Yetide Badaki, Bruce Langley, Orlando Jones, Jonathan Tucker and Betty Gilpin for a Q&A.
After a screening of an upcoming episode from season two of HBO's "Animals," creators Phil Matarese and Mike Luciana and co-executive producer Jen Roskind will have an in-depth discussion on independently created television and "Animal"'s DIY roots. The episode features voice acting from Emilia Clarke, Jason Alexander, Harmony Korine and Michael Rapaport.
Executive Producer Seth Rogen, executive producer and showrunner Sam Catlin and co-executive producer and comic book writer Garth Ennis will host a panel discussion discussing the upcoming second season of their show "Preacher." Attendees will also get an exclusive first-look at what's ahead.
Following the "Animals" chat, "Fargo" creator Noah Hawley will ascend the SXSW stage for a discussion. The third season of "Fargo" is set to air April 19, but the first two seasons' success all but guarantee Year 3 will be a hit. Hawley also just premiered the newest Marvel TV show "Legion" on FX.
Before the advanced screening of the first episode (see Sunday!), "Prison Break" fans can try their hand at escaping a jail cell for free. The "Prison Break" themed escape room at Escape Game Austin has been available for a while, but Fox is taking over and giving fans free admission all weekend. The one-hour experience ends with a shareable "Prison Break" themed photo. Sign up here.
On Sunday, fans who missed the chance to try out the "Prison Break" themed escape room on Saturday have one more chance to play for free. Sign up here.
On the final day of the Los Pollos Hermanos pop up, don't miss the chance to try out Gus's curly fries. Fans may even see Gus himself, as Giancarlo Esposito is set to appear in the next season of "Better Call Saul." He might even be joined by Bob Odenkirk before the conversation with the "Better Call Saul" star.
Fans of the hit show "Prison Break" are already happy about the upcoming fifth season, but those at SXSW are the real lucky ones. Fox is hosting an advance screening of the first episode of the reboot. Though unaffiliated with the festival, the screening is sure to be a hit event, featuring a fan Q&A session in the theater lobby afterwards.
"Game of Thrones" showrunners D.B. Weiss and David Benioff will be joined by stars Maisie Williams and Sophie Turner for a discussion on the hit historical fantasy drama. As co-creators and executive producers, Benioff and Weiss should have a wealth of insider information to share with the audience, though "GOT" is a notoriously tight-lipped ship.
"Breaking Bad" colleagues Bob Odenkirk and Giancarlo Esposito will be making fifty lucky fans' days. Beginning March 10, the fifty fans will be chosen to attend this autograph signing at the iconic Los Pollos Hermanos restaurant.
In his return to the small screen, Pierce Brosnan stars in "The Son," based on the New York Times bestselling novel. Spanning 150 years and three generations of the McCullough family, the ten-episode, one-hour family drama explores how wealth and power can transform a person and the generations who follow him. The SXSW screening marks the world premiere of the AMC show.
SXSW will screen the world premiere of the TV follow-up to the 2014 hit film "Dear White People." The Netflix show picks up where the film left off, following several college students of color at Ivy League universities as they navigate campus life through the lens of social injustice, cultural bias, political correctness and activism.
Join "Veep" showrunner, writer, executive producer David Mandel as he chats with the cast of the award-winning HBO show about the upcoming sixth season of the political comedy. Executive producer and star Julia Louis-Dreyfus will appear with cast members Tony Hale, Anna Chlumsky, Reid Scott, Matt Walsh, Gary Cole, Tim Simons and Sam Richardson, marking "Veep's" first-ever panel at SXSW.
Groundlings alums Hugh Davidson, Larry Dorf and Rachel Ramras star in "Nobodies," in which the trio desperately tries to cast one of their more famous friends in their feature script. Melissa McCarthy and Ben Falcone, who also directed and guest-starred in the pilot episode, are executive producers on the TV Land comedy scene.
Join "The Son" author Philipp Meyer for a book signing before a screening of the adaptation of his family drama, starring Pierce Brosnan. The show, teaming with quests for power and struggles for wealth, will have its world premiere the day before at another SXSW event.
Rachel Holder's web series gets a makeover with the new version of "I Love Bekka and Lucy," which will have it's TV world premiere at SXSW. The duo, Bekka and Lucy, have been attached at the hip in their home on an abandoned block, keeping to themselves as each other's favorite people. That's all changed when a new neighbor moves in next door and Lucy's longtime boyfriend unexpectedly offers her an engagement ring.
First up is a world premiere of Showtime's series "I'm Dying Up Here" from executive producer Jim Carrey. Then, the premiere screening will be followed by a Q&A with executive producer Michael Aguilar and cast members including Melissa Leo, Ari Graynor, Andrew Santino, Erik Griffin and Al Madrigal.
Starting at 2 p.m. on Wednesday, a party at the Showtime House will feature all-day concerts and free giveaways, hosted by the stars of "I'm Dying Up Here." '70s icon Grandmaster Flash will perform a not-to-missed set at 11:00 p.m.
Fans of "Twin Peaks" are getting a special treat: Voodoo Donuts. The complimentary treats, plus free High Brew Coffee and Tiny Pies cherry pie, will be handed out at an immersive recreation of the Double R Diner. Later, a series of performances inspired by the fan-favorite show will help celebrate its return to TV. Doors open at 2:00 p.m., and at night, star Kyle MacLachlan will make a special appearance.
On Friday, the mystery continues with another day at the "Twin Peaks" diner and shows. Details are the same as the previous day, except this time, there's no Kyle MacLachlan. But, performers include Neko Case, Let's Eat Grandma and M. Ward.


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Home / Film News / Guns Akimbo Looks Balls-To-The-Walls Awesome [Trailer]
Madman Films just dropped the trailer for their insane action-comedy, Guns Akimbo, starring Daniel Radcliffe and Samara Weaving. Director Jason Lei Howden, who made his directorial debut with the cult classic Deathgasm, helms this adrenaline-pumping flick.
Miles is stuck in a dead-end job, still in love with his ex-girlfriend Nova. Unbeknownst to him, a gang called Skizm is running a deadly competition within his city in which complete strangers fight to the death for the entertainment of an online audience of millions. Miles soon finds himself caught up in the game and forced to fight in a battle to the death. Initially, Miles' lifetime of running from his problems pays off as he manages to elude his first opponent but when Nova is kidnapped, he must finally stop running and overcome his fears to fight for the girl he loves.
Guns Akimbo, which premiered at TIFF this past September, is slated for a February 28 theatrical release.


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idpayett@rootsweb.com
Payette Research Site
This is a Message Board Post that is gatewayed to this mailing list. Classification: Query Message Board URL: http://boards.ancestry.com/mbexec/msg/rw/5d.2ADI/36 Message Board Post: Payette Found a great Payette County Genealogy Site: http://65.10.15.149/FreeGen/Home.html They will be adding over 1 billion names to their online database over the next few months.
Welcome to the IDPAYETT mailing list!! PLEASE SAVE THIS INFORMATION so you have it for future reference. PLEASE BE CONSIDERATE of your fellow list members. Some folks are beginners at computers and some to genealogy. The world is a better place when we are all patient with each other. Personal attacks, criticism, or flaming are never permitted. HOW DO YOU POST? Send an email to idpayett@rootsweb.com WHAT SHOULD YOU POST? 1. Questions about your ancestors. Give as much detail as you can. 2. Interesting history that is relevant to the list. 3. Genealogy and family history conferences, even if they charge for admission. 4. Genealogy societies should feel free to post about their society and their websites. 5. Book reviews of genealogy books are reasonable to post. A list of books is not, but sharing a good genealogy book you've found is a good idea. 6. Links to personal blogs that are about genealogy. They can be your blog or another. Even if the blog has ads, that is not a problem. 7. New collections on various genealogy sites that are relevant. We don't want advertisements, but if you find an interesting collection on Ancestry, FamilySearch, Library of Congress, or some other site that has relevance to the list, let people know. WHAT SHOULD BE IN YOUR POST? 1. An informative but concise subject line. 2. When replying to a previous message, be sure to check that the intended recipient's address is showing in the Send To box of your email BEFORE clicking on SEND. 3. Proofread and be sure you want your post public. All posts go in the archives! WANT TO UNSUBSCRIBE? Send an email to idpayett-leave@rootsweb.com and put unsubscribe in the subject and body and nothing else.


The SpaceStation is looking for someone who has an enquiring mind and is solutions driven to head up the advertising technology team.
Manage configuration relationships with external vendors/partners (DSP's, DMP's, verification vendors, rich media companies, etc.) through continuous engagement with partners around their product/service wrt updates/enhancements, continuous business strategy alignment, development/integrations, requests, support, escalations and price negotiations.
Liaise with the Product team during the development of new features and products to ensure advertising products are rolled out and configured timeously and to a high standard.
Systems and process configuration development to improve operational efficiency through operational oversight of the business and/or business requirements/gaps and the potential to overlay tech requirements/enhancement to either refine existing processes/systems or find new solutions – the key to streamline overall productivity.
Develop scope, timeline, and budget plans as part of planning based on strategic alignment on 24.com ecosystem, tech, multi-channel campaign initiatives etc.
Design, implement and operationalize best practice guidelines for configuring and delivering solutions ie how/what should go into quality assurance, project mandates to initiate projects, project stories to brief into Product.
Document best practices and seek out opportunities to improve existing processes.
Motivate and positively engage staff and management in ways that build trust and enthusiasm.
Drive implementation of configuration processes and tools to estimate, prioritize and track projects. This includes documenting key risks and mitigation planning.
Provide insight, strategy, direction and support regarding Inventory Management, Tagging infrastructure etc.
A well-rounded knowledge of the digital advertising technology landscape.
Exceptional organizational, analytical, interpersonal, and communication skills.
Experience working on mobile web and app products.
Leadership skills in a digital environment.
A relevant university degree or diploma.


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Laws vary from state to state. Statutes and case law also change often and quickly. The hiring of an injury attorney is an important decision that should not be based solely upon advertisement. Before you decide to retain our law firm, learn more about us by looking through our web site or call us at 602-667-7777.
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text:
Q: TypeError: this.state.annonces.map is not a function hi I have an API and from React which represents my frontend I recover the data from the API to display it but from there I encounter this problem.
Thank you in advance for guiding me, explain to me clearly what the problem is
    constructor(props) {
  super(props);
  this.state = {

    api: api.api,
    annonces: []
  }

}

componentDidMount = () => {
  console.log(this.state.annonces_id)
  this.onLoaodPreloader();
  this.getAnnonce();
}
getAnnonce = () => {
  var baseApiUrl = this.state.api
  axios.get(baseApiUrl + 'annonces' ,
    {
      headers: {
        'Content-Type': 'application/json',
        Authorization: `Bearer ${localStorage.usertoken}`
      }
    }).then((response) => {
      console.log(response)
      this.setState({
        annonces: response.data,
      })

    }).catch((erreur) => {
      console.log(erreur)
    })
}
render() {
        console.log(this);
            const { annonces } = this.state
        const renderAnnonces = annonces.map((annonces, index) =>{
              return (

                    {annonces.meeting_type}

              )

        });

  return
{renderAnnonces}
;
}

A: pretty sure your response.data is not an array. since .map only works if it is an array.
if you console.log('response data type :', typeof response.data) you will see what type the data is.
your data needs to be in an array for the .map to work


text:
Dani Solimine (* 16. Juni 1963 in Wattwil) ist ein Schweizer Jazzmusiker (Gitarre, Komposition).

Leben und Wirken
Solimine lernte seit dem siebten Lebensjahr das Gitarrenspiel im Selbststudium. Nach seiner Ausbildung arbeitete er ab 1987 zunächst als Grundschullehrer; seit 2003 ist er Berufsmusiker. Bucky Pizzarelli ermutigte ihn, sich auf die siebensaitige Gitarre zu konzentrieren. Obwohl seine Engagements als Solo-Gitarrist zunehmen, gilt er vor allem als sensibler Begleiter. Im Duo spielte er mit Tom Müller, mit Beat Baumli (Cinema Paradiso), mit seiner Grossmutter Trudi Kilian, mit Fernando Fantini (Parlez-moi d'amour) und mit Jürg Morgenthaler. Mit Manfred Junker arbeitet er im Quartett A Touch of Swing (CD Trust in Me) und im Duo; 2021 erschien das gemeinsame Album Guitarists Only. Weiterhin trat er im HPCrazy Trio von Hanspeter Krüsi, im Trio triple blue und im Quartett Hot Staff um Egon Egemann auf, im Swing Dance Arkestra um Nadja Sieger und mit den Hot Strings von Fere Scheidegger. Zudem begleitete er Jacob Stickelberger. Als Gitarren-Experte holte Peter Bürli ihn 2011/12 mehrfach in seine Serie Jazz Collection bei SRF 2.

Solimine wurde 2009 mit einem Werkbeitrag der Kulturförderung des Kantons Zürich ausgezeichnet. 2009 wurde er mit Hot Strings für den Swiss Jazz Award nominiert, 2013 mit A Touch of Swing.

Weblinks
 Website von Dani Solimine
 Porträt auf Sonntag Guitars

Einzelnachweise

Jazz-Gitarrist
Komponist (Jazz)
Schweizer
Geboren 1963
Mann

redpajama_set_name: RedPajamaWikipedia


text:
Live Webinar and Q&A: Developing and deploying secure code with AWS Lambda (Jan 20th, 2022) Register Now
InfoQ Homepage Presentations Machine Learning Engineering - A New Yet Not So New Paradigm
Using Reinforcement Learning To Beat Go Masters and Write Java Unit Tests (Live Webinar Feb 10th, 2022) - Save Your Seat
Machine Learning Engineering - A New Yet Not So New Paradigm
Sravya Tirukkovalur discusses how ML engineering leverages skills from other engineering branches such as principles and tools, development and testing practices, and others.
Sravya Tirukkovalur is a Senior Machine Learning Engineer at Adobe working on the Sensei Content ML Framework team which powers ML capabilities across the Adobe product line enabling consistent and reusable building blocks with a high software engineering rigour across the board.
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Presented by: Andy Piper - VP of Engineering
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Tirukkovalur: I would like to say why I'm interested in talking about this first. This was some information I shared approximately a year ago when I just finished interviewing for ML roles in the industry and the experience of interviewing for ML roles was quite different from what I experienced as a software engineer, so I wanted to share what I've learned through the process and, clearly, many people were interested. There was no consistent definition of roles, the roles are very broad. To give you an example, in one of the interviews, I found myself explaining Central Limit Theorem, the next interview, I was designing a fault-tolerant Web service on whiteboard, so, it was quite a big spectrum.
Fast forward now, having been working in the industry in one of these roles, I wanted to look back to see why these roles are so broad, and dynamic, and shared. If you look, there are some interesting patterns which emerged, although the role is quite newly termed. Lots of people have been doing this, although it has changed quite significantly. I work on the Adobe Sensei team at Adobe, which is a centralized machine learning platform team, which works very closely with our various products as well as research to build and enable machine learning capabilities across our product line.
My talk is going to be mainly focused on the blue box that you see here, opportunities and challenges in ML engineering. Before that, I would like to provide some context on what are the ML problems that we're solving at Adobe and our focus areas. I would like to close by sharing some of my perspectives on where I see machine learning engineering going.
ML at Adobe
We have many products which leverage ML today, one of the use cases is, for example, content-aware fill. Adobe has a lot of products to cater to creative professionals. We would like to leverage machine learning to make creative professionals more effective and make more people creatives. Content-Aware Fill is one such example, as a creative, if you want to remove an object from a beautiful thing like this, for example, this boat, the process, which used to be very cumbersome to get to aesthetically pleasing results, is now very simple with Content-Aware Fill. You can just select the areas you want to be removed, and this feature allows for filling the mixing pixels with something which comes from a natural manifold, so, it looks very real and aesthetically pleasing.
We also use machine learning in visual search in Adobe Stock, you can use your existing image and find similar looking image. What does similar mean? It could mean many things based on the user intent. It could mean a similar color composition, or it could mean similar contents. This one example is for color, I can pick one color palette that I want, and I can search for all landscape images with similar color palette. Similarly, I can also search on composition, you can see landscape image with a certain kind of composition, like some pathways leading towards the horizon, you could search for similar images with similar composition.
There are many more features across creative product lines like auto cropping the videos, for example. The video you take might look really nice on a laptop, the moment you see it in the phone, it doesn't look good, so, how do you auto crop the images to look nice on beta surfaces automatically? How do you auto caption your images? There are various applications that we power using machine learning. I mostly focus on creative product line, but we also have many use cases in document use cases and marketing use cases. In terms of PDF, being able to understand PDFs at a very deep level and marketing use cases like user segmentation, recommendations, and so on. You can find really elaborated list at this Adobe Sensei landing page. There's a fun video too if you are interested.
Adobe is really interested in various modalities of learning, visual to language, structured data to sequential data like time series. We're interested in understanding as well as generation, we're also especially interested in vector art, so being able to generate and aid in the process of creating vector ad, which looks nothing like our natural manifold image. While we shoot these features with ML capabilities, there are some new challenges, and some actually not so new.
Typical ML Lifecycle
As most of you are well aware, this is how a typical, very simplified ML life cycle looks like. It starts with identifying the right problem to solve using ML, then you would collect the required data. None of this is serial, you would often always go back and reiterate, so you'd collect the data, potentially label them, clean them, prep, then you train and evaluate on a test set. We also often deploy the ML capabilities on the cloud to serve it to potentially multiple teams looking for the similar capability. In doing so, we would like to deploy these services at a much larger scale and in a robust way. In some cases, we're interested in deploying these capabilities on the devices for various reasons, one is privacy, we would like users to use these features without having them send their data to the cloud all the time and for connectivity reasons, the users are not connected to internet, and they still want to get these capabilities.
Also interactive purposes, when you're in a creative workflow, even some millisecond, like a millisecond latency would interrupt your workflow, where interactive workflows are very important, we tend to deploy devices. We will do this like in an isolated way, we deploy, and retrain, and so on. Coming to the role of ML engineer, especially coming from a platform perspective is leveraging and enabling ML capabilities in our products. This is a very dynamic role for majorly like two reasons, one is the changing landscape of opportunities and the challenges, changing landscape of challenges.
What is possible today is changing at breakneck speed. Need for label data is changing, so not all problems today require millions of data points. Many problems do work with just a hundred label samples. What is possible is really changing, and it's important to keep up-to-date with how much you can leverage these capabilities. As most of you know, language modeling has seen a revival last year with techniques, with transfer learning on multiple tasks, and so on. Model interpretation is very important for the industry, we would like to understand why a model performs the way it performs.
Generation, in terms of both visual and language, have seen great progress in recent times. Last but not the least, framework capabilities, if you see the commit history in terms of low in PyTorch, it's outstanding to see the kind of pace we're seeing in the frameworks. While we're going to see challenges and needs, I'm going to start focusing first on some of the challenges and needs which have parallel domains where we can borrow ideas from.
Needs – Robust Deployments on the Cloud
We deploy most of our ML capabilities on the cloud and we want these services to be easy to scale, today one product might have a thousand users, and tomorrow, there will be another product which is going to use this capability, and it has a million user base. We would like to be able to scale without entire new team building infrastructure for each of these services.
We would like to be able to easily manage, so, as we will be talking about hundreds of capabilities very fast being spin up, we would like to make sure we have the entire cycle set up while we have monitoring and alerting in place. The increased velocity of iteration, we want each individual team to execute and deliver their ML capabilities and integrated data products. At the same time, we also would like to increase the velocity of the organization as a whole where teams can leverage each other's work when appropriate.
Along with it comes standardization where each service has its own way of calling it, or is there some standardization so that people can really quickly use all services? And also, in the industry, context security is a very big need, we want to bake in the security best practices so that not everybody has to reinvent the wheel. If you look at all these requirements, most of the requirements are not very ML-specific. We can leverage the microservices best practices and adopt a DevOps mindset for machine learning where a single owner can go from identifying the problem to deployment, A/B testing, getting the feedback back, collecting the right data, retraining, and so on.
Based on many conversations with colleagues and from other teams to other companies, there's a lot of handoffs happening in ML engineering. Someone trains the models, somebody else collects the data, and someone else deploys, and now someone else does the A/B testing so, now how do you get this feedback loop? It takes many months before you can start learning from what you shipped.
Needs - Performance
The next one I would like to touch upon, unlike software engineering and unlike Big Data systems, there is a unique need in [inaudible 00:12:19] of machine learning in the sense that machine learning workloads are both data and compute intensive, which often means you need to do performance optimizations to really make most of it from single data point low-latency inference where you're serving online data inference to high throughput batch inference, where you have ML capability detecting objects in an image, and now you want to run a billion sets on this model. How'd you run this efficiently without waiting for like months to get this piece of information?
If you look from a high-performance computing angle, solving for compute-intensive problems is the backbone of high-performance computing, GPUs have been leveraged since decades in SIMD style, like Single Instruction Multiple Data, where the algorithms are embarrassingly parallel, just like [inaudible 00:13:23] at operations, where you have a matrix to matrix multiplication, and you can easily parallelize it on multiple data.
Techniques, like pipelining, prefetching, and using the memory hierarchies well to really optimize for this Tensor operations, is now becoming mainstream in the industry. These are the backbones of high-performance computing, and we should completely leverage that knowledge. Similarly, there are lots of principles we could be leveraging from data-intensive applications world as well. In machine learning, it's not just some data where we run like hundreds of computations. We also run these hundreds of computations on like huge amounts of data, so we're talking about extending these compute-intensive operations on huge amounts of data. Sometimes it doesn't fit on your memory, you need a cluster, so, you can borrow the principles from distributed systems, and Hadoop ecosystem where you can leverage the data locality and send the compute to the data where needed. It's really a good combination of both, and that's one of the things that makes it very interesting.
Experimentation as a Core Mindset
There are many things we could be leveraging from panel domains, but there's also some very ML-specific needs. One of the main things I feel is the experimentation mindset, in software engineering, you would often get some specifications. Not saying specifications are always frozen, they're always moving, but still, you would know what you're building for, and they're very deterministic, experimentation is usually left to the research teams.
With machine learning, I think these two fields are really merging very well that all ML engineers will be doing lots of experimentation as you've seen in the first doc. There are lots of experiments which are run, and there will be a few winners, and then you will want to take it forward, test them in the real wild world, and then iterate. How do we enable experimentation as a software core tenant? We want these experiments to be easily trackable, reproducible, and we should just treat experiment as a good piece of software entity.
We leverage Dockerized containers and strong orchestration framework to achieve this where anybody can spin up and execute experiments on the fly. All of these is tracked and [inaudible 00:16:18], so you know exactly how to reproduce an experiment.
Device Deployments
The second one is on device deployments, which I shortly mentioned. There are some ML-specific problems in deploying these ML models on devices. Mainly, the binary sizes of this ML frameworks are humongous, you can't just ship the TensorFlow or PyTorch on the mobiles with very limited storage availability. The model sizes can be too huge and also the compute needs, I heard this from one of my colleagues, and I found it very interesting and funny that they completely managed to squeeze in a model, ship it and everything and finally, they realized whenever users use the app, it gets so hot that they can't use it.
Even after you've managed to do all of that and make sure it works, compute is really at premium on mobile, and you should be very careful on how you use it, so there are some mitigations on how you can go about it. By the way, to give context, Adobe has tons of mobile products, and that's one of the reasons this is very important for us. Some of the mitigations here are like always optimized on time. Every OS has its own hardware-accelerated run times. Like, Apple has CoreML, Android has NNAPI, and Windows has WinML, which is part of the OS.
The first problem of binary sizes of ML frameworks is kind of mitigated, but it comes with its own challenges, "Okay, how do you go from this X framework to this Y runtime engine," Add to this the complexities of each device having its own hardware stack, it can be AMD, or it can be Intel, or it can be some other thing. It's a huge O(n) square matrix to support the conversion, and lack of good standard intermediate representation really exacerbates this problem.
This is another field I feel where we get leverage high-performance computing principles. We'll see a Java byte code movement in machine learning where interoperability becomes the main thing that people will focus on, at that point, deployment becomes much simpler. The next one is, we often do some kind of quantization to reduce the size and the complexity of the model before we deploy to the device.
Data Collection, Labelling
Data collection and labeling is quite a bottleneck right now in terms of both, it's time-consuming and expensive. Also, it's very easy to fall into some common pitfalls while you're collecting this data and labeling it, it could be a semi-automated way of labeling it, or it could be a human labeler.
Our models are only as good as the data that we feed it, we'll have a lot of maturity in this area going forward. How do we collect these labels and data in a robust way, and have guardrails in this process to make sure your distribution of your training data represents what you want to achieve in the wild? How do you detect bias when you're collecting data?
Evaluation and Test Driven ML Development
This is the kind of most critical aspect of enabling ML at scale in various products. Evaluation is a very critical and non-trivial task in real world, not all models can have a very quantitative measure. We have aesthetic filter, how do you define and quantify aesthetics similarity? Something which looks similar to me might not look similar to you based on my intent, so there are many subjective tasks that we're targeting which don't have quantitative measures, and it just makes the evaluation even harder.
Even after you have an evaluation metric, which is reasonable, how do you make sure this reflects the Key Performance Indicators of your products? It's about being able to detect for bias and rectify it. You might make sure your labeling process doesn't have bias, your data is representative. Even then, when you deploy in the wild world, there will be cases where you haven't thought before, and your model really performs badly in those cases. How do you have a feedback loop such that you detect those in time and rectify it?
All of this brings to an idea of test-driven ML development. We use test-driven software development very widely. It's a known fact that it really increases your velocity and collaboration power once you have the CICD set up. For machine learning, it is at least as important as software engineering test-driven development where the nature of the work is so inherently iterative. I'm looking forward to see how we can bring the A/B testing cycle very close to the development cycle where we'll be able to quickly deploy to a very small set, test it out, iterate, collect feedback, and iterate from there.
Summary and Future Trends
In summary, there are three main aspects where we'll see progress in terms of ML engineering from a platform standpoint. I haven't spoken anything about training because tooling training is very powerful, but it's not the bottleneck right now, mainly because of few things. The tooling has progressed enormously in the past few years, so it is reasonably easy to train a model once you have everything else figured out. We'll see a lot of progress in all the other aspects of ML engineering from data labeling to evaluation to deployment and compiler technology to make the deployments easy.
In terms of standardization, I think we're still very early on in the framework evolution. Some of the things which I think would come up more prominently are like ONNX, which tries to make this O(n) square matrix into O(n) like all frameworks converted to ONNX, and from ONNX, you have a way to go to all these device deployments. Google just released something called MLIR, it stands for Multi-Layer Intermediate Representation, but you could also say Machine Learning and Intermediate Representation.
The idea of some standard intermediate representation is that you can have a pluggable compiler architecture to convert this intermediate representation to any hardware-specific accelerator that you might want, or even heterogeneous hardware accelerators. You can have CPU and GPU working together. And last but not the least, I think test-driven ML development is the single most thing which would accelerate the innovation tremendously in the ML engineering landscape.
Coding in your ID, imagine you getting feedback of what you're coding only after a day. That would be so horrible, you can't really progress fast, you can't learn from your mistakes. Imagine you only get your compiler error like after a day after you code. That's how we are in ML development today where we have very long cycles of feedback and the moment we bring that life cycle to a short time, I think the rate of innovation would be much faster.
Participant 1: Do know of any tools that you can follow the pipeline that you recommend? I don't know any tools, but it looks very important, so the group can know exactly what each other is doing so they can follow, and know what data you need, and what data you need to collect, and what is missing.
Tirukkovalur: I'm predominantly focusing on deep learning in my current job, but we also support machine learning framework. In the case of training, I think it's very clear we mostly use TensorFlow, PyTorch, CycleGAN, and so on for data exploration, collection. I group many things here, if you already have your data repositories in Hadoop, it's usually Spark to clean the data.
Participant 1: I mean, project-wise, if you have a big project, if you put the software engineering, and the machine learning, and all the steps that you said that are very important in A/B testing. In the project view, which tool do you use so you can coordinate and all the projects includes the machine learning?
Tirukkovalur: In terms of project management, we use a variety of Jira board.
Participant 2: I have a similar question. Test-driven ML development sounds great. What do the tests look like in that? Because you made the point on the same slide that defining a metric of success is fraught, so, how do you write a test?
Tirukkovalur: I kind of testing in multiple layers, first, validating the inputs and outputs, functional tests to make sure your pipeline just doesn't fail in some cases. You could have offline metrics which you can track. One step beyond would be actual A/B testing, in an ideal world, it will be A/B testing tied to the development cycle where you can test out on like a small subset of user base and iterate.
Participant 2: For your ideal?
Tirukkovalur: Not necessarily ideal. Ideal maybe in your microservices pipeline where you deploy to prod, but you only deploy to a subset of users and get the feedback.
Participant 3: How do you think about testing if the model is stochastic?
Tirukkolavur: It's hard to test, there's no determinism, so, it's definitely hard to test compared to software engineering. There are few things you can test like the functional correctness in terms of, are you handling the cases, for example, if your model is designed to take to 224 by 224 image? Are you doing correct validation? Those things, like, are more like software engineering validation, but actual output, it's hard to test.
The best thing we could do today is having an offline test, which we make sure it is representative of our real world. It might change, your test also might change over a period of time. Making sure it performs, you can have a metric on, "Ok, it has to be at least like 90% precision on this test set." and have this Continuous Integration loop.
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text:
Starlite war eine US-amerikanische Automobilmarke, die zwischen 1959 und 1963 von der Kish Industries, Inc. in Lansing, Michigan, gebaut wurde.

Der Starlite war ein kleiner, zweisitziger Roadster mit Elektroantrieb. Sein Radstand war 2083 mm und seine Gesamtlänge 2896 mm. Sein Dach war je nach Kundenwunsch entweder aus Stoff oder transparentem Kunststoff. Er wurde zum Preis von 3000 US-Dollar verkauft.

Literatur
 John Gunnell: Standard Catalog of American Cars 1946–1975. Krause Publications, Iola (Wisconsi) 2002, ISBN 0-87349-461-X.

Ehemaliger Pkw-Hersteller (Michigan)
Ehemaliges Unternehmen (Lansing)
Ehemaliger Elektroautohersteller (Vereinigte Staaten)
Gegründet 1959
Aufgelöst 1963
Produzierendes Unternehmen (Lansing)


text:
Q: Unable to connect to outlook mailbox using POP3 over proxy server using javamail 1.6.2 I am trying to connect to an outlook mailbox using POP3 Javamail . This mailbox runs over a proxy server. I tried using Javamail 1.6.2 with the following configuration:
    Properties props = new Properties();
    props.put("mail.pop3.socketFactory.class", "javax.net.ssl.SSLSocketFactory");
    props.put("mail.pop3.socketFactory.fallback", "false");

    props.setProperty("mail.pop3.ssl.enable", "false");
    props.setProperty("mail.pop3.starttls.enable", "true");
    props.setProperty("mail.pop3.starttls.required", "true");

    props.setProperty("mail.pop3.proxy.host", "myproxy.server");
    props.setProperty("mail.pop3.proxy.port", "110");

    props.put("mail.pop3.ssl.trust", "*");

I am getting following error in the stacktrace:
com.sun.mail.util.MailConnectException: Couldn't connect to host, port: myproxy.server, 110; timeout -1; Using web proxy host, port: myproxy.server, 110 (java.net.ConnectException: connection through proxy myproxy.server:110 to myproxy.server:110 failed: +OK The Microsoft Exchange POP3 service is ready.)
    at com.sun.mail.pop3.POP3Store.protocolConnect(POP3Store.java:217)
    at javax.mail.Service.connect(Service.java:248)
    at javax.mail.Service.connect(Service.java:91)
    at com.zs.prp.services.impl.MailScannerServiceImpl.executeMailScanning(MailScannerServiceImpl.java:150)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
    at java.lang.reflect.Method.invoke(Unknown Source)
    at org.springframework.aop.support.AopUtils.invokeJoinpointUsingReflection(AopUtils.java:333)
    at org.springframework.aop.framework.ReflectiveMethodInvocation.invokeJoinpoint(ReflectiveMethodInvocation.java:190)
    at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:157)
    at org.springframework.transaction.interceptor.TransactionInterceptor$1.proceedWithInvocation(TransactionInterceptor.java:99)
    at org.springframework.transaction.interceptor.TransactionAspectSupport.invokeWithinTransaction(TransactionAspectSupport.java:282)
    at org.springframework.transaction.interceptor.TransactionInterceptor.invoke(TransactionInterceptor.java:96)
    at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:179)
    at org.springframework.aop.framework.JdkDynamicAopProxy.invoke(JdkDynamicAopProxy.java:213)
    at com.sun.proxy.$Proxy328.executeMailScanning(Unknown Source)
    at com.zs.prp.scheduler.MailScannerSchedulerJob.executeInternal(MailScannerSchedulerJob.java:34)
    at org.springframework.scheduling.quartz.QuartzJobBean.execute(QuartzJobBean.java:75)
    at org.quartz.core.JobRunShell.run(JobRunShell.java:202)
    at org.quartz.simpl.SimpleThreadPool$WorkerThread.run(SimpleThreadPool.java:573)
Caused by: java.net.ConnectException: connection through proxy ZS-F5LBPOP.zs.local:110 to ZS-F5LBPOP.zs.local:110 failed: +OK The Microsoft Exchange POP3 service is ready.
    at com.sun.mail.util.SocketFetcher.proxyConnect(SocketFetcher.java:877)
    at com.sun.mail.util.SocketFetcher.createSocket(SocketFetcher.java:354)
    at com.sun.mail.util.SocketFetcher.getSocket(SocketFetcher.java:217)
    at com.sun.mail.pop3.Protocol.<init>(Protocol.java:118)
    at com.sun.mail.pop3.POP3Store.getPort(POP3Store.java:271)
    at com.sun.mail.pop3.POP3Store.protocolConnect(POP3Store.java:213)
    ... 20 more

Although i am setting mail.pop3.proxy.server and mail.pop3.proxy.host properties still getting this issue. Can anyone help me in this?

A: Get rid of all the socket factory settings, you don't need them.
What kind of proxy server are you using?  The properties you're setting are for a web (http) proxy server.  Web proxy servers are almost certainly not running on the POP3 port 110; you need a different port for the web proxy server; ask your administrator
for the proper port.
You also need to configure the host name for the POP3 server that
you want the proxy server to connect to on your behalf.  Set
the mail.pop3.host property.
If none of that help, provide us more details and post the
JavaMail debug output.


Chinese smartphone makers are fast waking up to the advantages of creating sub-brands it seems. Huawei had great success with its sub-brand Honor and in several markets Honor now sells more devices than Huawei. Another manufacturer that has seen great success with a sub-brand was Oppo who created Realme in 2018. Xiaomi also came up with its POCO sub-brand last year and launched the popular POCO F1 under its aegis. One Chinese brand that has managed to stay away from the sub-brand bandwagon until now was Vivo. However, if we are to believe fresh reports emanating from China, Vivo is all set to launch a new sub-brand called IQOO later this year.
The possibility of Vivo launching its own sub-brand came to light after a new account appeared on Chinese microblogging site Weibo. The account started off by sending out an initial post that read; 'Hello, this is IQOO' with no other information.
As of this writing, a second message was posted on the same account. The Chinese tech media has gone on overdrive after this revelation, and the original post has been liked thousands of times. People have also started actively commenting on the thread. In fact, the official Weibo handle of Vivo was also seen replying to several comments in the same thread.
At this point in time, we are not sure how Vivo plans to position the IQOO brand. Initial impressions, however, are that IQOO will be positioned as a premium brand with prices of handsets to go above the RMB 5000 mark (INR 50,000). This, however, is yet to be confirmed. It also remains unclear if the brand would eventually make it to India. Now that the official social media accounts have started to go live in China, we can expect the first of the IQOO devices to launch in that country first.
A short time after we came across the IQOO post, we decided to check who owns and IQOO.com domain and unsurprisingly, we were able to trace it back to Vivo.
This is another confirmation about the fact that we can expect IQOO branded devices from Vivo in the near future. In fact, if we are to believe a report by a popular Chinese blog, the IQOO.com domain was accessible a short while ago with Vivo imagery. As of this writing, the site is inaccessible.


The generous lawned garden at Leys is secluded by majestic beech trees but also has wonderful views southerly over the Barle Valley and westerly over Bradymoor.
There is wooden outdoor furniture and a barbecue to enjoy alfresco as you look out over beautiful Exmoor. Please note that though this area is dog friendly it is not fenced.


These details are important to be aware of as you compare composting toilets, especially if off-grid living is your goal or water supplies are limited, ensuring that you choose the best product for your specific needs.
The program determines the level of incentive based on the size of the solar array you install, whether the array is off-grid or grid-intertied, and many other factors.
This, too, is another way to go off-grid and can be used in combination with photovoltaics off grid.
They have units that can be tied into the electrical grid or off-grid models.


investors are shifting focus to US cannabis instead. And even other investment opportunities entirely. But why?
Namaste Technologies powers the ultimate online customer experience for medicinal cannabis and related products.
SMITHS FALLS, ON, April 12, 2019 /CNW/ – Canopy Growth Corporation (TSX: WEED) (NYSE: CGC) ("Canopy Growth" or "the Company") today announced that the Company is to join the S&P/TSX 60 Index, achieving another public market "first" for the cannabis industry.
Which stock wins in a battle between two small Canadian marijuana companies?
The cannabis market is ripe for significant consolidation, and the pickup we have experienced recently is likely only the beginning. In Canada, the number of companies with licenses exceeds 140 (there are now 168 licenses, but several companies hold multiple licenses).


text:
La Esperanza är en ort i Mexiko.   Den ligger i kommunen Cadereyta de Montes och delstaten Querétaro Arteaga, i den centrala delen av landet,  km norr om huvudstaden Mexico City. La Esperanza ligger  meter över havet och antalet invånare är .

Terrängen runt La Esperanza är bergig österut, men västerut är den kuperad. Den högsta punkten i närheten är  meter över havet,  km sydost om La Esperanza. Runt La Esperanza är det ganska glesbefolkat, med  invånare per kvadratkilometer. Närmaste större samhälle är Canoas,  km nordost om La Esperanza. I omgivningarna runt La Esperanza växer huvudsakligen savannskog.

Klimatet i området är fuktigt och subtropiskt. Årsmedeltemperaturen i trakten är  °C. Den varmaste månaden är april, då medeltemperaturen är  °C, och den kallaste är december, med  °C. Genomsnittlig årsnederbörd är  millimeter. Den regnigaste månaden är september, med i genomsnitt  mm nederbörd, och den torraste är januari, med  mm nederbörd.

Kommentarer

Referenser

Orter i Querétaro


General Labor position available to start ASAP.
1st shift 5:00AM-1:30PM must be flexible with working short notice overtime.
Rigid and EMT conduit bending and installation in industrial and municipal environments.
Unistrut and support location and placement for conduit and enclosures.
Industrial Electrician familiar with low and medium voltage controls, VFD's, switchgear etc.
Some Control Panel Layout and Building experience. AutoCAD exposure is a plus.
Instrumentation & Controls experience or at least an interest in furthering their knowledge.
Know something about AC/DC power-single and 3-phase power, analog and digital circuits.
Understand 4 to 20mA current loops, frequency/pulse circuits, PNP/NPN wiring etc.
Someone that is interested in learning and being exposed to many facets of industrial processes utilizing instrumentation (temperature, level, pressure & flow) and controls (valves, pumps etc.).
New installations and modifications of existing sites.
1) Install, repair, and replace safety glass and related materials, such as backglass heating-elements, on vehicles and equipment.
2) Obtain windshields or windows for specific automobile makes and models from stock, and examine them for defects prior to installation.
3) Prime all scratches on pinchwelds with primer, and allow primed scratches to dry.
4) Remove all dirt, foreign matter, and loose glass from damaged areas; then apply primer along windshield or window edges and allow it to dry.
5) Remove all moldings, clips, windshield wipers, screws, bolts, and inside A-pillar moldings; then lower headliners prior to beginning installation or repair work.
Must have experience with window tint.


text:
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Home ⁄ News ⁄ [GRINDHOUSE COMICS COLUMN] HOWARD THE DUCK #1
[GRINDHOUSE COMICS COLUMN] HOWARD THE DUCK #1
Mar 16, 2015 Posted by Jon Abrams In News	Tagged Chip Zdarsky, Comic Books, Howard The Duck, Joe Quinones, Marvel Comics, Rico Renzi, She-Hulk, Spider-Man, Steve Gerber, Val Mayerik	Comments 0
PRESENTING OUR NEWEST REGULAR FEATURE AT DAILY GRINDHOUSE!
IT'S A COMIC BOOK COLUMN!
You know the old saying : if it walks like a duck, and it quacks like a duck, it must be — well, a duck. And there's no doubt that the first issue of Marvel's new Howard The Duck monthly definitely features a walking, talking, intelligent, permanently-down-on-his-luck duck from another planet, which is — at least on paper — exactly what Howard is and always has been. But he's also a lot more than that, and that's what makes Howard The Duck #1 so much less.
Truth be told, what made Howard such an instant overnight sensation in the 1970s is the simple fact that he was nothing more than a conduit for the social, political, and philosophical observations of his co-creator, legendary comic book scribe Steve Gerber (who later became involved in a protracted legal struggle against Marvel for ownership of the character). Howard's other creator, artist Val Mayerik, left the building much earlier than Gerber did, but the duck "trapped in a world he never made" continued on reasonably well without him. Once Steve was out of the picture, though, the character never recovered — and certainly never sounded quite right ever again.
Which isn't to say that the new creative team of writer Chip Zdarsky (best known for his work as the artist on Image Comics' hugely popular and successful, Matt Fraction-penned Sex Criminals), penciller/inker Joe Quinones, and colorist Rico Renzi don't give a solid effort here — it's just that their hands are completely tied, and they're stuck in a "no-win" situation. When Disney bought Marvel, one of the first things they did was dictate numerous changes to Howard's physical appearance, feeling that he looked a bit too similar to another famous duck that was the property of the House of the Mouse (Gerber himself responded to these mandates by turning the character into a rat for nearly the entire duration of the 2002 six-part series from Marvel's since-shuttered "mature readers" imprint, Max Comics, that represented his final go-'round with his signature creation), and now what we're stuck with is an iteration of Howard that doesn't look, feel, or sound anything like what we're used to — and on top of that Marvel editorial seems to have decided that the story fans purportedly "want" to see in these pages is one that explains how a duck-turned-private eye ended up in the possession of The Collector at the end of the GUARDIANS OF THE GALAXY film.
To that end, the main thrust of Zdarsky and Quinones' debut installment is taken up with getting us from point "A" — Howard in a New York jail cell — to point "B," which is Howard in an outer space jail cell. He picks up a new human female sidekick along the way (longtime love interest Beverly apparently being out of the picture now), and has some reasonably entertaining run-ins with both The Black Cat and Spider-Man (in fact, Zdarsky scripts the out-and-out funniest Spidey scene in years), but all this manages to do is showcase how much better a handle the creators have on their guest stars than on their actual protagonist. Howard always bitched about his sorry lot in life, and does plenty of that here, but he was at his best when waxing existential on the utter pointlessness of life in general, and that's an element that his "kinder, gentler" 2015 version is sorely lacking (along with his former trademark cheap cigar).
A rather forced "montage" scene at the exact halfway point of the book (as depicted on the page below) doesn't help matters any, either, and while I certainly commend Marvel for being willing to roll the dice on "quirky" fare in a way that their Distinguished Competition seem to be shying away from in the advent of their "New 52" relaunch (although that may be changing when DC rolls out a host of new titles in June), it seems like the commercial failure of more "off-beat" recent series like She-Hulk (who re-emerges as a supporting player in this very book) and the criminally under-appreciated Superior Foes Of Spider-Man is giving the publisher something of a case of cold feet. They apparently want to continue to try to push the envelope in a more humorous direction, but they're just not willing to go quite as far as they were a year or two back, with the end result being a re-launched Howard title that feels like it's very tightly controlled by editorial.
Does it have its moments? Sure, absolutely. And it's well-drawn (and colored) throughout. A reader who's brand new to the character — as in, one who hasn't even seen the George Lucas-produced movie, much less read the original comics — and who is primarily interested in answering the question "who was that crazy duck guy at the end of GUARDIANS OF THE GALAXY?" might, indeed, find a fair amount to like here. But for anyone else with even a passing knowledge of who Howard is (or at least who he used to be)and what he's (or, again, was) all about, this first issue offers no reason to stick around for the second and beyond. If Marvel wants to have an anthropomorphic "funny animal" character other than Rocket Raccoon and Squirrel Girl as an active part of their universe, they should just let Zdarsky and Quinones — who would probably be up to the task — create a new one. It's not simply a case that Howard without Steve Gerber isn't Howard — it's that he flat-out can't be.
— @TrashFilmGuru.
Jon Abrams
Editor-In-Chief at Daily Grindhouse
Jon Abrams is a New York-based writer, cartoonist, and committed cinemaniac whose complete work and credits can be found at his site, Demon's Resume. You can contact him on Twitter as @JonZilla___.
Latest posts by Jon Abrams (see all)
[THE BIG QUESTION] WHAT'S YOUR FAVORITE FEMALE ENSEMBLE IN MOVIES? - July 22, 2016
[IN THEATERS NOW] THE BOY (2016) - January 24, 2016
Cult Movie Mania Releases Lucio Fulci Limited Edition VHS Sets - January 5, 2016
Tags: Chip Zdarsky, Comic Books, Howard The Duck, Joe Quinones, Marvel Comics, Rico Renzi, She-Hulk, Spider-Man, Steve Gerber, Val Mayerik
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text:
Stone, Edmund (DNB00)
←Stone, Benjamin
Stone, Edmund
by Edward Irving Carlyle
Stone, Edward James→
Stone, EdmundEdward Irving Carlyle1898
STONE, EDMUND (d. 1768), mathematician, was the son of a gardener in the employ of John Campbell, second duke of Argyll [q. v.], at Inverary. In a letter by Andrew Michael Ramsay [q. v.] in the 'Mémoires de Trévoux' for 1736, it is stated that Stone was eighteen years old before he learned to read, but that afterwards he made extraordinary progress. The Duke of Argyll, one day seeing a copy of Newton's 'Principia' lying upon the grass, supposed it be his own and directed it to be carried to the library. It was, however, claimed by Stone, and a conversation ensued in which the duke learned to his surprise that the young man without teachers had acquired a considerable knowledge of mathematics, besides having mastered the rudiments of the Latin and French languages. The duke, delighted by his ability and knowledge, placed him in a position which afforded him opportunity to pursue his studies.
In 1723 Stone published a work on 'The Construction and Principal Uses of Mathematical Instruments, translated from the French of M. [Nicolas] Bion, to which are added such instruments as are omitted by Bion, particularly those invented or improved by the English' (London, fol. 2nd edit. with supplement, 1758), and a translation of de L'Hôpital's 'Traité Analytique des Sections Coniques' (1720), entitled 'An Analytick Treatise of Conic Sections' (London, 4to). On 22 April 1725 he was admitted a fellow of the Royal Society (Thomson, Hist. of Royal Soc. App. p. xxxvi), and in the same year he published 'A New Mathematical Dictionary' (London, 8vo; 2nd edit. 1743). In 1730 he issued a treatise on 'The Method of Fluxions, both direct and inverse, the former being a translation from … de l'Hôpital's "Analyse des Infinement [sic] petits," and the latter supply'd by the translator, E. Stone' (London, 8vo). The latter part, on the integral calculus, was translated into French in 1735 by 'M. Rondet, Maître de Mathématiques.' In 1736 Stone communicated to the Royal Society 'concerning two species of lines of the third order not mentioned by Sir Isaac Newton nor Mr. Sterling' [see Stirling, James] (Phil. Trans. xli. 318). These two forms complete the seventy-eight different varieties of cubic curves. They had, however, already been discovered—one by Nicole in 1731, and the other by Nicolas Bernoulli about the same time. Stone seems to have suffered by the death of his patron, the second Duke of Argyll, on 4 Oct. 1743, for about that time he withdrew from the Royal Society, and the latter part of his life was spent in poverty. In 1760 a writer in the 'Critical Review' describes him as 'living at an advanced age, unrewarded, except by a mean employment that reflects dishonour on the donors.' He died in 1768. If his last work, 'Some Reflections on the Uncertainty of many Astronomical and Geographical Positions' (London, 1766, 8vo), were intended to be more than an extravaganza, it is a proof that his mind was failing. It consists of a series of propositions attacking the accuracy of the conclusions of astronomers concerning the shape of the earth and other matters of a similar kind.
Besides the works mentioned, Stone was the author of: 1. 'An Essay on Perspective,' London, 1724, 8vo, translated from the French of Willem Jacob Storm van Gravesande. 2. 'Geometrical Lectures,' London, 1735, 8vo, translated from the Latin of Isaac Barrow [q. v.] 3. 'The Whole Doctrine of Parallaxes,' London, 1763, 8vo. He also published two editions of 'Euclid' in 1728 and 1752, and revised 'A New Treatise of the Construction and Use of the Sector by Samuel Cunn,' London, 1729, 8vo.
[Encycl. Britannica, 8th edit. xx. 708; English Cyclopædia Biogr. v. 739; Georgian Era, i. 834, iii. 131; Anderson's Scottish Nation; Chalmers's Biogr. Dict. 1816; Rondet's Discours Preliminaire to his translation of Stone's treatise on Fluxions, 1735; Hutton's Phil. and Math. Dict. 1815.]
E. I. C.
Retrieved from "https://en.wikisource.org/w/index.php?title=Stone,_Edmund_(DNB00)&oldid=6178793"


text:
Огарово — деревня в Сокольском районе Вологодской области.

Входит в состав Чучковского сельского поселения, с точки зрения административно-территориального деления — в Чучковский сельсовет.

Расстояние по автодороге до районного центра Сокола — 78 км, до центра муниципального образования Чучкова — 6 км. Ближайшие населённые пункты — Старово, Варушино, Горка, Мамонкино, Заполье, Покровское.

По переписи 2002 года население — 220 человек (107 мужчин, 113 женщин). Преобладающая национальность — русские (98 %).

Примечания

Ссылки
  в реестре населённых пунктов Вологодской области

Населённые пункты Сокольского района (Вологодская область)


text:
Q: How to change a returned null value in Linq to IQueryable I'm trying to populate a listview control with the results of a LINQ query on an IQueryable in C#. This should be the simplest operation in the world, but I'm new to asp.net, c# and visual studio. What I have is this:
var query = from i in _db.ItemListView
    where (!string.IsNullOrEmpty(key)) ? i.Description.Contains(key) : true &&
        DbGeography.FromText(i.Point).Distance(DbGeography.FromText(geog))*0.0006214 <= rng &&
        (cat != null) ? i.CategoryID == cat : true &&
        (sub != null) ? i.SubCategoryID == sub : true &&
        (min != null) ? i.AskingPrice >= min : true &&
        (max != null) ? i.AskingPrice <= max : true
    orderby i.Distance ascending, i.AskingPrice ascending
    select i;
return query;

This works, but the i.Distance field returned from the database is null by design. I want to populate the i.Distance field with the values from:
DbGeography.FromText(i.Point).Distance(DbGeography.FromText(geog))

geog is a variable based on the longitude and latitude of a zip code.
Would someone please show me how to do this?

A: You'll need to compute the distance and then select a new object that includes it. Something like:
var query = from i in _db.ItemListView
    let dist = DbGeography.FromText(i.Point).Distance(DbGeography.FromText(geog))
    where (!string.IsNullOrEmpty(key)) ? i.Description.Contains(key) : true &&
        dist*0.0006214 <= rng &&
        (cat != null) ? i.CategoryID == cat : true &&
        (sub != null) ? i.SubCategoryID == sub : true &&
        (min != null) ? i.AskingPrice >= min : true &&
        (max != null) ? i.AskingPrice <= max : true
    orderby dist ascending, i.AskingPrice ascending
    select new WhateverYourClassNameIs(constructor parameters here);
return query;

Or, you can use
select new Whatever { field1=value, field2=value, etc. };

A: Sound like you need a custom select:
...
select new {
   // other fields here,
   ...
   MyNewDistanceField = DbGeography.FromText(i.Point).Distance(DbGeography.FromText(geog))
}

or alternatively, map your output fields into a custom class:
select YourCustomClass {
   // other fields here,
   ...
   MyNewDistanceField = DbGeography.FromText(i.Point).Distance(DbGeography.FromText(geog))
}

YourCustomClass will contain the field definitions you need.


text:
How to use Facebook Marketing to Increase YOUR Investor Database with Paul Hopkins
Paul used to work in engineering and construction.
He spent 12 years working on huge structures in Canada and the US.
He is the COO of Direct Source Wealth
Unrelated to Real Estate
Paul was a sponsored snowboarder at high school and 1st year of college
How do Facebook ads work?
Facebook currently has 1.7 billion active users which means it is one of the most powerful and wide reaching marketing tools available. Facebook collects data from every user based on what they view, like and click on. Facebook can also follow a user's journey after they leave the site and store information about the user's buying habits. This means that there are approximately 2000 data points per person which can be used to tailor a marketing campaign to a specific audience. Once you've selected your target audience your adverts will appear in their newsfeed and encourage people to click and follow links to your website. Paul says that you should think of Facebook like a party where everyone is invited; you don't want to be that person who arrives and immediately starts selling. You need to approach slowly, build trust and make friends before you try to sell. Once they know you, you can "invite them back to your house" which could be your website or a landing page.
The first step to starting with Facebook marketing is to decide on your campaign, you need to know what you are advertising and where you are driving your audience to. Once this is settled you can create your ideal audiences based on demographics. For example you could to target people who are interested in real estate by selecting for an interest in Michael Kiyosaki and then segregate by income. You can dive down into your audience data and select for age/net worth/interests/locations. You can also load your current clients into Facebook and create a "lookalike" list based on their personal data. The next step is to create your copy which should have a headline, a good image and a description. You can alter your copy and send slightly different versions to audiences as a split test to determine the most effective advert. Your adverts will appear on your audiences' newsfeed so that they start to like and trust you and eventually opt-in.
There are three different types of audiences to target based on how well they know you and your brand: cold, warm and hot. Cold audiences are driven towards your free content like a blog or podcast. Once they've visited your blog you can retarget them and drive them towards a lead magnet like a webinar – these are the warm audiences. Once they've opted in they become "hot" and placed into a database where they will receive an automatic email and a series of follow up messages about who you are. The goal is to education your database on why they should invest with you.
How successful is Facebook marketing?
The success of these adverts depends on what you are trying to achieve and how frequently your audience is on Facebook. The more you spend on each campaign then the more people you will reach. Paul's most recently campaign cost $2100 and reached 116,000 people. Of these people 15,000 clicked through to the website, 7000 went to the specific landing page and 70 became leads. This works out as $30 per lead which is more effective than the direct mailing that is normally used when advertising wholesaling. The thing that Facebook can't do yet is target motivated sellers specifically, for example people who have been foreclosed upon or who are recently divorced.
Most successful habit – His daily success work sheet which is like a score card for the day (email Paul for an example)
Most influential tool in your RE business – Podcasts for learning on the go.
Most exciting project right now – The business that he's building and creating.
Who is your most influential person – Robert Kiyosaki and Paul's family
Best US deal to date – His first wholesale transaction that was done completely virtually from Canada when the property was in Denver.
Contact Paul:
paul@directsourcewealth.com
Investing in the U.S. · RG 041 - How to Use Facebook Marketing to Increase YOUR Investor Database with Paul Hopkins
RG 040 – Mobile Home Park Investing with Bryce Robertson RG 042 – Mobile Home Parks: How to Find, Finance & Operate Deals...


...Do Not Go Gentle Into That Good Night" (Dylan Thomas). No Ref. 4200x3000x300. One layer. AR4. An Ode to my Mother's passing.
Last edited by L Skylar Brown; 10-04-2013 at 02:48 PM.
If I read this properly, my condolences to you.
The poem is a classic where the author implores his parent to rage against having his light go out. I can appreciate being in that place and looking for an expression for it. Your painting did not let the light go out, and that you chose what is classically known among photographers and film makers as golden hour when everything is bathed in a soft golden luminescence just before going dark. Good choices. And gold is a color of treasure. Wonderfully articulate in the symbolism.
Excellent artwork, very nicely done.
We're never ready to such a sad event and we certainly aren't the same anymore afterwards, but I'm reasonably sure love links, and the one with our mom is, among them, special, unique and indissoluble, do cross any barrier and that network of souls is eventually the only reality. Great tribute whose feelings I appreciate and share with You, dear friend.


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text:
Why No AMD-Powered Smartphones?
With companies chomping at the bit to enter the growing mobile space and take advantage of the opportunities therein, it's almost more intriguing to explore why some companies don't throw their hats in the ring. Case in point: AMD — the second largest x86 processor manufacturer in the world has yet to make their play. Why haven't they made their push into mobile, just like everyone else?
Well, if AMD SVP Rick Bergman is to be believed, it's because they believe their true strengths lie elsewhere. Rather than try and force their way into an already crowded market, Bergman said AMD has "other areas it can focus on in order to grow."
Perhaps it's a smart move for the perennial also-ran of the x86 processor race. ARM has already carried off the lion's share of the mobile processor market, striking lucrative licensing agreements with companies like LG and Texas Instruments, meaning their processors now power a huge number of mobile devices. If AMD really wanted to compete, it would require a little bit of luck and a lot of cooperation — either with Intel to combat ARM's stranglehold on the market, or with ARM to one-up their longtime rival. Neither of those options probably sounded very appealing.
For AMD, the future largely remains in their traditional desktop, server, and notebook offerings, but the higher-ups have set their sights on another booming market: tablets. Their Z-series processor, launched back in June, was AMD's first step into tablet computing. While it hasn't popped up in any must-have tablets yet, AMD remains hopeful that their graphics and processor technologies will align with the growing performance and battery needs of tablet customers. Their rival in graphics, Nvidia, thinks the same, however, and has an ambitious roadmap as well.
So is that it for them? Have they decided to watch the smartphone wars unfold from the sidelines? Not exactly: Mr. Bergman hinted that they may make a move "if the right circumstances come up and we can see a way to impact the market." We'll see if that conservative strategy pans out, but as my old Latin teacher used to say, "fortes fortuna adiuvat."