detroix.exe

I will start from now regularly ! That's my assurity ! I will start at this time only ! I won't give any other opportunity to ask this type of question again ! Thx Sir , Regards, detroix.exe

➥Age: 15 ➥Experience in Adobe Photoshop(Months or years): 4 years ➥Attach your Gallery link (If you have one): ➥Any other editing program you use?: Ps Touch (Android) , After Effects (VFX) ➥What version of Photoshop do you mostly use?: Photoshop CS6 ➥In what section you have your most contribution?: Sir , I am back here and I was inactive for some days due to some reasons and I was old GFX Designer here and I won the GFX Contest ➥Have you read all the sections' rules?: Yes ➥Have you read the community rules?: Yup ! ➥Do you agree that you cannot be part of another project when you apply and after if you get accepted?: Yes sir , I know it ! ➥What can you say about you that will make us interested about your Photoshop skills & experience?(Minimum 10 words): GFX is my profession, I started GFX Designing in this community and want to get back here as I was an old part of it !

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At the second Belt and Road Forum for International Cooperation held in Beijing, Malaysia’s Prime Minister Dr. Mahathir witnessed the exchange of agreements between Malaysia’s national carmaker PROTON with Pakistan’s Al-Haj Automotive Group to build a new complete knock-down kit assembly plant in Karachi, Pakistan and an exchange of agreements between PROTON and China Construction Bank in which PROTON will receive a 1.88 Billion MYR (3.1 Billion RMB) loan for further R&D and infrastructure development. The cooperative agreements between these Chinese, Malaysian, and Pakistani enterprises showcases the potential of the Belt Road Initiative. Also attending the ceremony were Li Shufu, Chairman of Geely Holding Group; Liu Guiping, President of China Construction Bank; Dato’ Sri Syed Faisal, Group Managing Director of DRB-Hicom and Chairman of PROTON; and Daniel Donghui Li, Executive Vice President and CFO of Geely Holding Group. Before attending the exchange ceremonies, Dr. Mahathir also attended a dialogue session with PROTON’s Chinese component vendors and parties interested in finding out more about Malaysia’s automotive industry’s market landscape, government policies, incentives and regulations. Global Revitalization of PROTON According to the agreement between PROTON and Al-Haj, the new plant will be built on a greenfield site with an initial investment of USD30 million. Within the next three years, the cooperation between the two parties will directly create 2,000 new jobs in the local area and over 20,000 new jobs for supporting industries. To further accelerate PROTON’s global revitalization, an agreement has been signed between PROTON and China Construction Bank for a 1.888 billion MYR loan earmarked for improving PROTON’s R&D capabilities and infrastructure development. Access to Chinese financing gives a boost to PROTON’s future business expansion plans and global revitalization. Dr. Mahathir founded PROTON in 1983 as a means to boost the Malaysian automotive industry and has since been a friend and supporter of Malaysia’s national auto brand and its partnership with Geely. As part of the strategy to revitalize PROTON, the company committed itself to playing a more active role in developing Malaysia’s automotive ecosystem by encouraging local vendors to improve their efficiency, quality, expertise and global outlook. This was achieved by matchmaking Malaysian vendors with their Chinese counterparts who already supplied Geely to form new joint-ventures and sign technical agreements. To date, 16 Chinese vendors have signed up for the initiative, cumulating in an initial investment of over 270 million MYR into the Malaysian automotive component industry. These vendors and other interested parties attended a dialogues session with the Prime Minister who has mentioned the industry as a vital component of the Malaysian economy.

Advocates say the product could transform reading for blind and visually impaired children, making the experience of learning Braille more inclusive and helping to combat what has been called a Braille literacy crisis A new effort is underway to help blind and visually impaired children more naturally learn to read Braille, a system based on different configurations of six small, raised dots that blind people read with their fingertips. And it is coming in the form of a favorite childhood toy: Lego bricks. This week, the Lego Foundation, which is funded by the Lego Group, the Danish toy company that makes the blocks, announced a new project that will repurpose the usual knobs atop the bricks as Braille dots. And because the blocks will also be stamped with the corresponding written letter, number or punctuation symbol, they can be played with by blind and sighted children alike. The project, called Lego Braille Bricks, is in a pilot phase and is expected to be released in partnership with schools and associations for the blind in 2020. “When they get Lego in their hands, it’s intuitive for them,” said Diana Ringe Krogh, who is overseeing the project for the Lego Foundation. “They learn Braille almost without noticing that they are learning. It is really a learning-through-play approach.” Advocates say the product could transform reading for blind and visually impaired children, making the experience of learning Braille more inclusive and helping to combat what has been called a “Braille literacy crisis.” Though the research is limited, some estimates suggest that just 10 percent of blind children in the United States learn to read Braille, even though Braille literacy is associated with better job outcomes for adults. In 2017, less than half of American adults with visual impairments were employed, according to a disability report by Cornell University. Braille, once widely taught in schools for the blind, has fallen by the wayside since the 1970s, when the law began requiring public schools to offer equal education to children with disabilities. Blind students were able to join their sighted peers in the classroom, but traditional schools, biased toward sight and facing a lack of specialized teachers, often pushed children with any sight at all to rely on magnified print. And an explosion of accessible technologies, including audiobooks, apps and screen readers, has strengthened reliance on audio, which advocates say cannot effectively teach critical skills like spelling and grammar, let alone complicated math. “Audio can give you information, but it can’t give you literacy,” said Chris Danielsen, a spokesman for the National Federation of the Blind.

We entrust our lives to software every time we step aboard a high-tech aircraft or modern car. A long-term research effort guided by two researchers at the National Institute of Standards and Technology (NIST) and their collaborators has developed new tools to make this type of safety-critical software even safer. Augmenting an existing software toolkit, the research team's new creation can strengthen the safety tests that software companies conduct on the programs that help control our vehicles, operate our power plants and manage other demanding technology. While these tests are often costly and time-consuming, they reduce the likelihood this complex code will glitch because it received some unexpected combination of input data. This source of trouble can plague any sophisticated software package that must reliably monitor and respond to multiple streams of data flowing in from sensors and human operators at every moment. With the research toolkit called Automated Combinatorial Testing for Software, or ACTS, software companies can make sure that there are no simultaneous input combinations that might inadvertently cause a dangerous error. As a rough parallel, think of a keyboard shortcut, such as pressing CTRL-ALT-DELETE to reset a system intentionally. The risk with safety-critical software is that combinations that create unintentional consequences might exist. Until now, there was no way to be certain that all the significant combinations in very large systems had been tested: a risky situation. Now, with the help of advances made by the research team, even software that has thousands of input variables, each one of which can have a range of values, can be tested thoroughly. NIST's ACTS toolkit now includes an updated version of Combinatorial Coverage Measurement (CCM), a tool that should help improve safety as well as reduce software costs. The software industry often spends seven to 20 times as much money rendering safety-critical software reliable as it does on more conventional code. The peer-reviewed findings of the research team appear in two papers the team will present on April 23 at the 2019 IEEE International Conference on Software Testing, Verification and Validation in Xi'an, China. The research includes collaborators from the University of Texas at Arlington, Adobe Systems Inc. and Austria's SBA Research. NIST mathematician Raghu Kacker said that CCM represents a substantial improvement to the ACTS toolkit since its last major addition in 2015. "Before we revised CCM, it was difficult to test software that handled thousands of variables thoroughly," Kacker said. "That limitation is a problem for complex modern software of the sort that is used in passenger airliners and nuclear power plants, because it's not just highly configurable, it's also life critical. People's lives and health are depending on it." Software developers have contended with bugs that stem from unexpected input combinations for decades, so NIST started looking at the causes of software failures in the 1990s to help the industry. It turned out that most failures involved a single factor or a combination of two input variables—a medical device's temperature and pressure, for example—causing a system reset at the wrong moment. Some involved up to six input variables. Because a single input variable can have a range of potential values and a program can have many such variables, it can be a practical impossibility to test every conceivable combination, so testers rely on mathematical strategy to eliminate large swaths of possibilities. By the mid-2000s, the NIST toolkit could check inputs in up to six-way combinations, eliminating many risks of error. "Our tools caught on, but in the end, you still ask yourself how well you have done, how thorough your testing was," said NIST computer scientist Richard Kuhn, who worked with Kacker on the project. "We updated CCM so it could answer those questions." NIST's own tools were able to handle software that had a few hundred input variables, but SBA Research developed another new tool that can examine software that has up to 2,000, generating a test suite for up to five-way combinations of input variables. The two tools can be used in a complementary fashion: While the NIST software can measure the coverage of input combinations, the SBA algorithm can extend coverage to thousands of variables. Recently, Adobe Systems Inc. contacted NIST and requested help with five-way testing of one of its software packages. NIST provided the company with the CCM and SBA-developed algorithms, which together allowed Adobe to run reliability tests on its code that were demonstrably both successful and thorough. While the SBA Research algorithm is not an official part of the ACTS test suite, the team has plans to include it in the future. In the meantime, Kuhn said that NIST will make the algorithm available to any developer who requests it. "The collaboration has shown that we can handle larger classes of problems now," Kuhn said. "We can apply this method to more applications and systems that previously were too hard to handle. We'd invite any company that is interested in expanding its software to contact us, and we'll share any information they might need."

The newest addition to Bitspower lineup of water blocks is the Touchaqua Summit. This monoblock is specifically designed for the Intel platform. The new unit features a brushed aluminum finish along with underlying RGB lights. The block also features an OLED display used to monitor the coolant temperature in your system. OLED Screen and RGB Lighting The OLED display uses a single wire to power the display and the RGB lights. It uses a 5V input and can use up to .07 watts. The OLED display will display temperature in Celsius from 0-99. The block is made of clear CNC machined acrylic which allows the lights to radiate through the block. The cold plate is made of high-quality copper (C1100). The integrated RGB LEDs can be controlled by the motherboard through 3-pin or 4-pin RGB headers and supports the major board partners, like Asus Aura Sync, Gigabyte RGB Fusion, MSI Mystic Light Sync, and ASRock Polychrome, along with with Razer’s RGB LED control software, Chroma. All you need to do is to plug it into your header and synchronize it to the rest of the RGB in your PC. Features : 1. Brings a unique style to your PC with a stylish top plate design 2. Block top cover made by hi-quality acrylic. 3. Fantasy light can be changed as you want. 4. A single wire runs power to both the DRGB lighting and the illuminated temperature gauge 5. Block base made by hi-quality copper C1100. 6. RoHS compliant. Brackets color : Silver Thread : G1/4″ x 2Dimension ( LxWxH ) : 95 x95 x32.4 mm Compatibility : 1. Intel LGA 775 / 1156 / 1155 / 1150 / 1151 2. Intel LGA 2011 / 2011-v3 3. Intel LGA 2066 The block is compatible with Intel’s LGA 775/115x and LGA 2011/2011-v3 and 2066 socket configurations. AMD does not apply because this block is specifically made for Intel socket configurations. Price was not listed in the product page, but the checkout page indicates it is 3,100 TWD (~$100 US). It is currently available.

Could Charles Leclerc have taken pole position had he not crashed in qualifying at the Azerbaijan Grand Prix? Could the Ferrari driver still take an unlikely maiden victory on Sunday? The answer to the first question will never be known. But the second will be answered on Sunday, and, unlikely as the prospect may seem from ninth on the grid, it cannot be ruled out completely. In a normal race, on a normal track, ninth would be too far back for anyone to entertain a victory. But Baku is very far from a normal track, and it tends not to host conventional types of races either. 'I threw all the potential in the bin' Leclerc's despair as he climbed out of his crumpled Ferrari having smacked it into the barriers at Turn Eight midway through second qualifying was plain to see - and completely understandable. The 21-year-old had looked 'the man' all weekend. Quicker than team-mate Sebastian Vettel in first practice, as they were the only two drivers to set times before it was cancelled after George Russell's Williams was destroyed by a loose manhole cover. Quickest in second practice on Friday. And again in final practice on Saturday morning. Leclerc started qualifying 0.6secs quicker than Vettel in the first session, albeit pipped to fastest time by Red Bull's Pierre Gasly, who ran later. Then, in the second session, he was again quicker than Vettel as Ferrari made the questionable decision to send their cars out on the slower medium tyres rather than the faster softs, in an attempt to start the race on them. The lack of grip from the tyres in the dropping temperatures may well have contributed to Leclerc's accident - not that that is an excuse. As he put it: "I am very disappointed in myself. I have been very strong all weekend. It is a mistake I shouldn't have done. I believe we had the potential for pole and I threw it all away. "Very sad for what happened, but I deserve it. I've been stupid, as I said on the radio. I've calmed down but I still think I've been stupid - this doesn't change. I will push to learn from this and come back stronger and hopefully have a very good race tomorrow. "I don't want to say anything stupid, but looking at FP1, FP2, FP3 and 'qually' one, pole was possible today and I threw all the potential in the bin." A potential shift in the Ferrari dynamic Leclerc will know that there is more at stake here than a lost pole position. He came into the weekend expressing his determination to prove to Ferrari by his performances that they should end their policy of employing team orders to favour Vettel, which they have done in all three races so far. He was doing exactly that until the moment he hit the wall - which was a demonstration of exactly why Ferrari have gone for this policy in the first place. They know Leclerc is extravagantly talented and may end up quicker than Vettel. But they also know that he is young, inexperienced and likely to make mistakes, so they believe Vettel is the driver more likely to challenge the Mercedes drivers over a season. And now Leclerc, on a weekend when he could have forced a re-think, has gone and given them the perfect excuse to carry the policy on. Despite declaring himself "stupid" on the radio immediately after the crash, he is anything but, and will be well aware of the wider implications of his misjudgement. Hamlet contemplated "the slings and arrows of outrageous fortune", and in Baku on Saturday Leclerc had a glimpse of it. Not long before Leclerc had his smash, Vettel had hit the inside wall at the same corner. But while Williams driver Robert Kubica did that and ended up in the same barrier as Leclerc, Vettel got away with it, and could carry on with qualifying. Gamesmanship at Mercedes All may not be lost for Leclerc, however. "For now, for the next three or four hours, I'll just be beating myself up," he said. But he was still talking about potentially winning the race, even if he admitted: "It is not going to be easy." Leclerc will consider that Lance Stroll ended up on the podium in Baku in 2017 in a Williams, when Daniel Ricciardo won for Red Bull - having qualified 10th - after dropping to 17th place at one point. After a soporific debut on the F1 calendar in 2016, this race has tended to be chaotic and incident-strewn. If Leclerc can make quick progress, he could easily end up in the lead battle if there is a safety car, as most would expect there to be. But if he manages that, there is the small matter of two Mercedes to deal with, and their formidable form continues. They had looked on the back foot for much of practice but, as happens so often, come qualifying they were right there and they locked out the front row after Ferrari's less-than-smooth session. After Leclerc's crash, Mercedes even played a little trick on Ferrari, by sending their two cars out for their final run a little early, expecting Vettel to follow them. Ferrari took the bait, only for the Mercedes drivers to stop at the end of the pit lane and pretend to do practice starts, forcing Vettel to pass them. Which left him without the benefit of a tow for his lap. This led to an amusing exchange in the news conference, when Vettel said: "Your fake starts in Q3. Did you do a start or did you just stop?" Hamilton replied: "We just dummied you basically!" Which raises the question - was the Mercedes actually the quicker car, or did they get pole as a result of Leclerc's crash and Vettel's compromised session? As Hamilton said, a tow can be worth as much as half a second. On Sunday, Ferrari have a chance to put things right, as they would see it, and take a much-needed first win of 2019. Vettel talked about putting the Mercedes under pressure, although he himself will have Red Bull's Max Verstappen breathing down his neck. And Bottas said: "Here is a very unpredictable race. Obviously we are pretty happy we are starting with a one-two as a team. We feel we do have a strong car in the race but here, anything can happen. It's a very eventful race. "Whose tyres are going to last the best, who's going to have the best pace. Also, with safety cars, how everything pans out. You can get lucky or unlucky." Starting from ninth, Leclerc will have the silver cars rear wings in his sights. As Bottas said: "Many unpredictable things can happen."

Mercedes-AMG F1 driver Valtteri Bottas will be starting the 2019 Formula 1 Azerbaijan Grand Prix in pole position snatching the lead from teammate Lewis Hamilton. It will be a front-row lockout for Mercedes in Baku, followed by Sebastian Vettel of Scuderia Ferrari in third place. Bottas lapped the circuit in 1m40.995s, 0.059s faster than Hamilton while Vettel lapped 0.302s behind Bottas. Teammate Charles Leclerc crashed out in Q2 after having a promising run during the practice sessions and Q1 and starts at P9 tomorrow. Starting fourth is Max Verstappen of Red Bull Racing who had a single run in Q3 and was almost three seconds behind Vettel. Racing Point's Sergio Perez qualified fifth, albeit a good half a second behind Verstappen. Torro Rosso's Daniil Kvyat will start sixth in the Azerbaijan GP, ahead of Lando Norris of McLaren. Both drivers showing a promising run in the qualifying session. Antonio Giovinazzi of Alfa Romeo posted a time of 1m41.069s taking eighth place, ahead of teammate Kimi Raikkonen, but will have to serve a 10-place grid penalty for using his third power unit control electronics for the season over the weekend. This places Raikkonen at P8, while Giovinazzi moves down to 18th. Leclerc could not make a run in Q3 but was classified 10th based on his Q2 time, and crashed soon after on the narrow Turn 8 during the session. Carlos Sainz Jr. starts 11th on Sunday, followed by Daniel Ricciardo of Renault in 12th place with Torro Rosso driver Alex Albon starting 13th. Haas driver Kevin Magnussen will start 14th ahead of Lance Stroll of Racing Point. Meanwhile, Red Bull's Pierre Gasly will start from the pitlane after missing the weigh-bridge during FP2. Gasly set the fastest time in Q1 but did not run in Q2, allowing Stroll to take 14th, who was eliminated in Q1. Haas driver Romain Grosjean starts 17th with Nico Hulkenberg of Renault starting 18th, while Williams driver George Russell starts 19th in a completely rebuilt car after the incident during FP1. Teammate Robert Kubica crashed at Turn 8 during Q1 and will be starting at the back of the grid.

Computer scientists at Caltech have designed DNA molecules that can carry out reprogrammable computations, for the first time creating so-called algorithmic self-assembly in which the same "hardware" can be configured to run different "software." In a paper published in Nature on Feb XX, a team headed by Caltech's Erik Winfree (PhD '98), professor of computer science, computation and neural systems, and bioengineering, showed how the DNA computations could execute six-bit algorithms that perform simple tasks. The system is analogous to a computer, but instead of using transistors and diodes, it uses molecules to represent a six-bit binary number (for example, 011001) as input, during computation, and as output. One such algorithm determines whether the number of 1-bits in the input is odd or even, (the example above would be odd, since it has three 1-bits); while another determines whether the input is a palindrome; and yet another generates random numbers. "Think of them as nano apps," says Damien Woods, professor of computer science at Maynooth University near Dublin, Ireland, and one of two lead authors of the study. "The ability to run any type of software program without having to change the hardware is what allowed computers to become so useful. We are implementing that idea in molecules, essentially embedding an algorithm within chemistry to control chemical processes." The system works by self-assembly: small, specially designed DNA strands stick together to build a logic circuit while simultaneously executing the circuit algorithm. Starting with the original six bits that represent the input, the system adds row after row of molecules -- progressively running the algorithm. Modern digital electronic computers use electricity flowing through circuits to mani[CENSORED]te information; here, the rows of DNA strands sticking together perform the computation. The end result is a test tube filled with billions of completed algorithms, each one resembling a knitted scarf of DNA, representing a readout of the computation. The pattern on each "scarf" gives you the solution to the algorithm that you were running. The system can be reprogrammed to run a different algorithm by simply selecting a different subset of strands from the roughly 700 that constitute the system. "We were surprised by the versatility of programs we were able to design, despite being limited to six-bit inputs," says David Doty, fellow lead author and assistant professor of computer science at the University of California, Davis. "When we began experiments, we had only designed three programs. But once we started using the system, we realized just how much potential it has. It was the same excitement we felt the first time we programmed a computer, and we became intensely curious about what else these strands could do. By the end, we had designed and run a total of 21 circuits." The researchers were able to experimentally demonstrate six-bit molecular algorithms for a diverse set of tasks. In mathematics, their circuits tested inputs to assess if they were multiples of three, performed equality checks, and counted to 63. Other circuits drew "pictures" on the DNA "scarves," such as a zigzag, a double helix, and irregularly spaced diamonds. Probabilistic behaviors were also demonstrated, including random walks, as well as a clever algorithm (originally developed by computer pioneer John von Neumann) for obtaining a fair 50/50 random choice from a biased coin. Both Woods and Doty were theoretical computer scientists when beginning this research, so they had to learn a new set of "wet lab" skills that are typically more in the wheelhouse of bioengineers and biophysicists. "When engineering requires crossing disciplines, there is a significant barrier to entry," says Winfree. "Computer engineering overcame this barrier by designing machines that are reprogrammable at a high level -- so today's programmers don't need to know transistor physics. Our goal in this work was to show that molecular systems similarly can be programmed at a high level, so that in the future, tomorrow's molecular programmers can unleash their creativity without having to master multiple disciplines." "Unlike previous experiments on molecules specially designed to execute a single computation, reprogramming our system to solve these different problems was as simple as choosing different test tubes to mix together," Woods says. "We were programming at the lab bench." Although DNA computers have the potential to perform more complex computations than the ones featured in the Nature paper, Winfree cautions that one should not expect them to start replacing the standard silicon microchip computers. That is not the point of this research. "These are rudimentary computations, but they have the power to teach us more about how simple molecular processes like self-assembly can encode information and carry out algorithms. Biology is proof that chemistry is inherently information-based and can store information that can direct algorithmic behavior at the molecular level," he says.