Meetings 3/26

first_imgSun Valley Area Neighborhood Council, 6:30 p.m. April 10 in the assembly room at Villa Scalabrini Retirement Center, 10631 Vinedale St., Sun Valley. Call (818) 767-6766. Sunland-Tujunga Neighborhood Council, 7p.m. April 11, Mount Gleason Middle School, 10965 Mount Gleason Ave., Sunland. Call (818) 951-7411. Sylmar Neighborhood Council, 6:30 p.m. April 12, Hubbard Street Elementary School, 13325 Hubbard St., Sylmar. Call (818) 833-8737. North Hollywood North East Neighborhood Council, 7 p.m. April 12 in the recreation room at the Park Plaza Apartments, 6755 Rhodes Ave., North Hollywood. Call (818)982-2174. Granada Hills South Neighborhood Council, 7p.m. April 12, Tulsa Street Elementary School, 10900 Hayvenhurst Ave., Granada Hills. Call (818) 321-6259 or see www.ghsnc.org. Reseda Neighborhood Council, 7 p.m. April 16, Canoas Banquet Hall, 18136 Sherman Way, Reseda. Call (818) 832-7540 or see www.resedacouncil.org. Studio City Neighborhood Council, 7 p.m. April 18 in the edit building, Suite 6 at CBS Studios, 4024 Radford Ave., Studio City. Call (818)655-5400 or see www.scnc.info. Panorama City Neighborhood Council, 6:30p.m. April 26 in the second floor meeting room at the Mission Community Hospital medical building, 14860 Roscoe Blvd., Panorama City. Call (818)785-9355. 160Want local news?Sign up for the Localist and stay informed Something went wrong. Please try again.subscribeCongratulations! You’re all set! Granada Hills North Neighborhood Council, 7 p.m. today, Van Gogh Elementary School, 17160 Van Gogh St., Granada Hills. Call (818)360-4346 or see www.ghnnc.org. Tarzana Neighborhood Council, 7 p.m. Tuesday, Tarzana Elementary School, 5726 Topeka Drive, Tarzana. Call (818) 345-1966. Encino Neighborhood Council, 7 p.m. Wednesday, Encino Community Center, 4935 Balboa Blvd., Encino. Capt. John Sherman, Los Angeles Police Department, West Valley, is scheduled to be the guest speaker. Call (818) 255-1040 or see www.EncinoCouncil.org. Canoga Park Neighborhood Council, 7 p.m. Wednesday, Canoga Park Community Center, 7248 Owensmouth Ave., Canoga Park. Call (818)346-4892. Chatsworth Neighborhood Council, 7 p.m. April 4, Lawrence Middle School, 10100 Variel Ave., Chatsworth. Call (818) 464-3511 or see www.chatsworthcouncil.org. West Van Nuys-Lake Balboa Neighborhood Council, 7:30 p.m. April 4, 7412 Balboa Blvd., Van Nuys. Call (818) 374-9883 or see www.wvnlbnc.org. North Hills East Neighborhood Council, 7p.m. April 9 in the library at Sepulveda Middle School, 15330 Plummer St., North Hills. Call (818) 891-0060. last_img read more

The Man Utd vs QPR quiz

first_imgToday QPR play at Old Trafford – the scene of one of their greatest victories, along with plenty of defeats. How much do you know about the history between Rangers and Manchester United? Answer these 10 questions to find out…[mtouchquiz 4]Follow West London Sport on TwitterFind us on Facebooklast_img

Evolutionary Trees “Positively Misleading”

first_imgAccording to an article in PLoS Genetics,1 there is a fundamental flaw in the way species trees are inferred from gene trees using molecular genetics that is guaranteed to produce erroneous results:Because of the stochastic way in which lineages sort during speciation, gene trees may differ in topology from each other and from species trees.  Surprisingly, assuming that genetic lineages follow a coalescent model of within-species evolution, we find that for any species tree topology with five or more species, there exist branch lengths for which gene tree discordance is so common that the most likely gene tree topology to evolve along the branches of a species tree differs from the species phylogeny.  This counterintuitive result implies that in combining data on multiple loci, the straightforward procedure of using the most frequently observed gene tree topology as an estimate of the species tree topology can be asymptotically guaranteed to produce an incorrect estimate.Their paper proves that “the ‘democratic vote’ procedure of using the most common gene tree as the estimate of the species tree is statistically inconsistent for phylogenetic inference.”  In fact, it is “positively misleading,” they claim.  Common methods used in phylogenetic studies do not take into account the “anomalous gene trees” (AGTs) that result from a flawed assumption: “the implicit premise that makes it sensible to estimate a species tree using a single gene tree or the most common among several gene trees—has remained unquestioned.”  They show that “discordance can occur between the species tree and the most likely gene tree” and that the data can converge on a wrong answer as the number of genes increases.  This is not just a theoretical problem, they say, and provide an example:It is noteworthy that our theoretical results apply to known—rather than estimated—gene trees, and do not consider the effect of mutations on inference of gene trees.  This issue is important, as mutational history is a key factor in determining when an empirical study might actually be misled by AGTs.  As an illustration, in one human-chimp-gorilla study, a substantial fraction of loci—six of 45 considered—had no informative substitutions that could provide support to any particular phylogenetic grouping..  That this many loci would not have any phylogenetic information in the human-chimp-gorilla clade suggests that for the smaller branch lengths typical of the anomaly zone, the fraction of uninformative loci could be much greater.Adding more genes to a study does not improve the statistics, nor does including other types of data, such as genomic inversions or rearrangements.  Their best advice is to include samples with multiple individuals per species.  That, however, is unlikely due to the difficulty and expense of sequencing.  “Different algorithms for combining data on multiple loci will have different degrees of susceptibility to the occurrence of AGTs, and a challenge for phylogenetics is to identify those procedures that are best able to overcome this new obstacle to accurate inference of species trees.”1Degnan and Rosenberg, “Discordance of Species Trees with Their Most Likely Gene Trees,” Public Library of Science: Genetics, Volume 2 | Issue 5 | MAY 2006.So much for hundreds of papers for the last few decades, with all their confident claims about the evolutionary ancestry of this or that group.  Now what?  Can anything reliable come out of Darwinist attempts to find ancestry in DNA?(Visited 57 times, 1 visits today)FacebookTwitterPinterestSave分享0last_img read more

Still trying to figure out what to do with dicamba in Xtend soybeans this year?

first_imgShare Facebook Twitter Google + LinkedIn Pinterest Even if you are planting RR Xtend soybeans, the answer to this could be: maybe nothing. A number of growers have told us that even though they are planting RR Xtend soybeans, they plan on “letting the dust” settle this first year and stay with their regular herbicide program. And then of course there are also some solid reasons to use dicamba in a preplant or postemergence treatment, depending upon what has been done in the field already and whether previous practices have been ineffective for control of certain herbicide-resistant weeds. A few other things to consider before we cover some of the dicamba use options:Be sure to know the dicamba labels and stewardship guidelines well. It might be worth assessing fields now to determine whether some just should not be treated with dicamba based on sensitive surroundings, and whether for others the wind direction the day of intended application will be a major consideration.While we use the term “dicamba” throughout this article for the sake of brevity, only three dicamba products are labeled for use in Xtend soybean herbicide programs — XtendiMax, FeXapan, and Engenia. Use of other dicamba products is not legal.For those planting both nonXtend and Xtend soybeans where dicamba use is planned, some type of system to ensure that dicamba is applied to the right fields might be in order.Check the websites for the dicamba products for approved mixtures and nozzles while in the planning stages, and be sure not to deviate from this list. We have these links in the Jan. 23 dicamba post on our blog — u.osu.edu/osuweeds.If relying on a custom applicator for dicamba applications, be aware that some are still declining to apply dicamba on soybeans this year, and other are charging higher fees for dicamba. This is good information to have now.There are several possible approaches to use of dicamba in Xtend soybeans. We tend to look at this with regard to three weeds, marestail, giant ragweed, and waterhemp (and common ragweed in areas), since current herbicide programs control everything else well usually, and these are our major herbicide-resistant weeds in the state. Our assumption is that where it is used, dicamba will be one component of the comprehensive two-pass approach of burndown and residual herbicides followed by postemergence herbicides that gets used on most of our soybeans. So our thoughts here are really along the lines of where dicamba can be plugged into this program to replace or supplement the other herbicides.Where current herbicide programs for RR soybeans are still effective for control of these more problematic weeds, there’s not necessarily a need for dicamba. One reason for use could be to reduce the selection pressure for resistance to certain herbicides due to their continuous use or overuse. An example of this is the reliance on site 14 herbicides (Valor and other flumioxazin herbicide, Flexstar and other fomesafen products, Cobra/Phoenix) in preemergence and postemergence applications for control of common ragweed that is resistant to glyphosate and ALS inhibitors. Continued use of this practice in soybeans is pushing the ragweed to become resistant to site 14 herbicides as well, and swapping in dicamba for fomesafen or Cobra in the postemergence treatment can mitigate this. The same thing can be said about waterhemp, based on the importance of POST-applied site 14 herbicides for control of glyphosate/ALS resistant populations, and the tendency for this weed to fairly rapidly develop resistance to anything used postemergence even as often as every other year.There can be issues of cost/effectiveness where dicamba is a better choice. For example, postemergence combinations of glyphosate + dicamba are likely to be more effective on glyphosate/ALS-resistant giant ragweed than combinations of glyphosate + fomesafen (Flexstar etc.) for about the same money. Dicamba can have a good fit in preplant burndown programs for control of marestail, to replace or supplement 2,4-D. The advantage to dicamba on marestail occurs primarily in fields not treated with herbicide last fall, since those are the fields where the variability in 2,4-D effectiveness has been observed for the most part. Dicamba will be more expensive than 2,4-D, but also more consistently effective in that specific situation.There are instances where dicamba will just be more effective than current herbicides, especially in weed populations for which herbicides have been so badly mismanaged for years that multiple resistance occurs and the population continues to increase. For growers who have multiple resistance already in ragweeds and waterhemp, the ability to use dicamba in postemergence applications may be the only good option left. The ability to use dicamba postemergence can certainly be helpful for marestail where the combination of preplant herbicides and suppression by soybeans fails to result in adequate control. Keep in mind when making seed choices that use of glufosinate in LibertyLink soybeans accomplishes most of what has been mentioned here also. And that failure to use any of these new technologies judiciously can result in selection for resistance to them as well and possibly reduce their utility fairly rapidly. Our assumption is that growers who have mismanaged current technology can just as easily mismanage and break any new tools as well. I would say “you know who you are” here but I would guess these growers are not avid CORN newsletter readers.Finally, using dicamba instead of 2,4-D in the preplant burndown treatment does away with having to wait seven days to plant soybeans, which certainly allows for more flexibility in the spraying/planting operation. Dicamba and glyphosate can be applied anytime before or after planting (and even after soybean emergence), but keep in mind the residual herbicides included in mixtures cannot. Almost all of the residual products have to be applied before soybean emergence. Any residual product that contains flumioxazin (Valor) should be applied within three days after planting per product labels. This restriction is in place to minimize the risk of injury to soybeans when application occurs too close to crop emergence. In our experience, risk of soybean injury with any product containing flumioxazoin or sulfentrazone (Authority) increases when applied at or after planting, compared with application a week or more prior to planting. Our suggestion for these products in the “Weed Control Guide for Ohio, Indiana, and Illinois” is that they be applied at least a week ahead of planting, even in dicamba systems where a wait between application and planting is not required.And a reminder also that weather can wreak havoc with the best plans. Planning to plant a lot of soybean acres first, with the assumption that the dicamba/glyphosate/residual mixture can be applied to all of these acres prior to soybean emergence (or within three days of planting where flumioxazin is used) can look good in theory. Insert a big rain somewhere in there and this can become more difficult to achieve. From a time and weather management perspective, the better approach would be to start applying dicamba/residual mixtures over the next several weeks as fields dry out, instead of trying to do it all at or after planting.And just a final note, while dicamba is more effective on marestail than 2,4-D is, waiting too long in spring to apply it can result in some problems controlling larger plants. In one 2016 OSU study, control of overwintered marestail plants, where stem elongation had started, was reduced when mixtures of dicamba and residual herbicides were applied in early May.last_img read more

Bosch and Nvidia create an AI supercomputer for self-driving tech

first_imgBosch is creating the brain for the self-driving cars of the future.At the international Bosch ConnectedWorld 2017 conference in Berlin this week, the supplier of technology and services presented an onboard computer for automated vehicles.Thanks to artificial intelligence, the computer can apply machine learning methods. The AI onboard computer is expected to guide self-driving cars through even complex traffic situations, or ones that are new to the car. “We are teaching the car how to maneuver through road traffic by itself,” said Dr. Volkmar Denner, chairman of the Bosch board of management.Cars already use Bosch sensors to monitor their surroundings. Using artificial intelligence, it will also be able to interpret those readings to make predictions about the behavior of other road users. “Automated driving makes roads safer, and artificial intelligence is the key to making that happen. We are making the car smart,” continued Denner.Nvidia will supply Bosch with a chip that stores algorithms, generated with machine learning methods. The AI onboard computer is expected to go into production by the beginning of the next decade at the latest. Driverless cars to be part of everyday life in the next decade Bosch’s AI onboard computer can recognize pedestrians or cyclists.See also: What if the Super Bowl had AI referees?Besides this ability, known as object recognition, artificial intelligence also makes it easier for automated vehicles to assess a situation. For instance, cars that have their turn signals on are more likely to change lanes than those that do not. As a result, a self-driving car with AI can recognize and assess complex traffic situations, such as when an oncoming vehicle executes a turn, and factor these into its own driving.The computer stores whatever it learns while driving in artificial neural networks. Experts review this knowledge in the lab for accuracy. Following further testing on the road, the artificially generated knowledge structures can be transmitted to any number of other AI onboard computers in an update.NVIDIA CEO Jen-Hsun Huang detailed how deep learning is fueling an AI revolution in the auto industry: “I’m so proud to announce that the world’s leading tier-one automotive supplier — the only tier one that supports every car maker in the world — is building an AI car computer for the mass market. First adoption of Nvidia’s Xavier technologyThe collaboration with Bosch represents the first announced DRIVE PX platform incorporating NVIDIA’s forthcoming Xavier technology. Xavier can process up to 30 trillion deep learning operations a second while drawing just 30 watts of power. That power is needed to achieve what the automotive industry refers to as “Level 4 autonomy,” where a car can drive on its own, without human intervention. The number of cars with various levels of autonomy will grow to a total of 150 million vehicles by 2025, analysts project.Huang said his company will deliver technology enabling Level 3 autonomous capabilities (in which a car can drive on its own but still needs a driver to intervene under various conditions) by the end of this year, and Level 4 capabilities by the end of 2018.While cars on the road now are capable of detecting vehicles in front of them and braking when needed, the requirements for autonomous driving are more demanding. Instead, deep learning can enable us to train a car to drive, and ultimately perform far better — and more safely — than any human could do behind the wheel.“We’ve really supercharged our roadmap to autonomous vehicles,” Huang said. “We’ve dedicated ourselves to build an end-to-end deep learning solution. Nearly everyone using deep learning is using our platform. Of course, our goal someday is that every single car will be autonomous.” “But for the path to then, we’ll have AI that will be your co-pilot, will be your guardian, and look out for you.”Powered by deep learning, AI co-pilot can recognize faces to automatically set specific preferences in the car depending on the driver. The system can also see where the driver is looking, and detect expressions to understand the driver’s state of mind. Combining this information with what is happening around the car enables the AI co-pilot to warn the driver of unseen potential hazards.In addition, the system has the ability to read lips. So even if the radio is cranked up, the car can understand a driver’s instructions.Bosch sees AI in its future“We want automated driving to be possible in every situation. As early as the next decade, driverless cars will be also a part of everyday life. Bosch is advancing automated driving on all technological fronts. We aim to assume a leading role in the field of artificial intelligence, too,” said Denner.He went on to say that artificial intelligence would play a key role in all areas of business at Bosch, not just mobility: “Just ten years from now, it will be virtually impossible to conceive of a Bosch product that does not involve artificial intelligence in some way. The products will either have it or be created with its help.” At the beginning of this year, the company announced it was establishing a Center for Artificial Intelligence. Bosch is investing some 300 million euros in expanding its expertise in this area. Break the Mold with Real-World Logistics AI and… Cate Lawrence Related Posts IT Trends of the Future That Are Worth Paying A… Tags:#AI#Bosch#connected cars#IoT#Level 4#Nvidia#self-driving cars#Xavier For Self-Driving Systems, Infrastructure and In… 5 Ways IoT can Help to Reduce Automatic Vehicle…last_img read more

DaVinci Resolve: THE Total Guide to the Best Free Video Editor

first_imgFind out everything you need to get started in DaVinci Resolve with this complete, six-part video guide to the best free video editor on the market.I don’t know about you, but I haven’t had a chance to master DaVinci Resolve yet. There are a lot of small details and techniques about Resolve that I’ve picked up from various videos over the years, but I haven’t been able to just sit down and take the time to learn the thing.DaVinci Resolve has always amazed me — what was once the industry-leading color grading software that only a small group of filmmaking professionals could use (or afford) became the industry’s best free editing software, and it is still the industry-leading color correction software.Image via Blackmagic Design.Yes, that’s right, DaVinci Resolve is a completely free download, and if you don’t have a copy of it on your machine, click here: DaVinci Resolve Download. (You’ll find the download link at the bottom of the page).It can be daunting to learn an entirely new NLE. Luckily, Lewis McGregor has our backs. Lewis is a certified Blackmagic trainer. So, just for you, he made a six-part video series that teaches you everything you need to know to get started. After you watch this series, you’ll be using the industry-standard color correction and editing software in no time.How to Organize and Import Media In ResolveOne of the first snags I always hit when I hop into Resolve is that I don’t really know the right way to get my media organized and into a bin. I’m so very used to the Premiere workflows — and previously Final Cut, from way back, which was relatively similar.Resolve is a bit different, but as McGregor shows us in this first episode, it’s not as different as it might initially seem. Creating a project and getting all of your media is very straightforward. There is a lot you can do with metadata and proxies, but it can also be simpler than that. It just depends on how you intend to use the software.After this video, I felt empowered to hop into Resolve and get started immediately.How to Use The Edit Page In ResolveAs someone who previously only used Resolve for color correcting a completed edit, I always had a little bit of trouble navigating the Edit Page.In this episode, Lewis explains everything about the Edit Page from a layout standpoint — and how to get everything in an interface that makes sense to you. He also covers the various parts of the page and what their purposes are.How to Edit Your Video In DaVinci ResolveNow we’re getting down to the nitty gritty. In this episode, we learn about the various tools for editing and fine-tuning directly on the timeline.In Resolve, it’s easy to find all of your favorite editing tools — trim tools, roll edit, ripple edit, slip edit, slide edit, and (of course) markers and flags.Once you get comfortable with the selection methods and the various edits, you’re pretty much on your way to doing everything you need editing-wise in Resolve.How to Edit Audio In DaVinci ResolveAudio is always one of the first reasons I don’t switch NLEs. Editing and controlling audio is a very nuanced process, and I feel like it’s one of the hardest things for an editor to master. You get used to doing it a specific way, and you start getting good results with your program of choice.In this episode, Lewis shows us how to edit audio in Resolve easily and effectively. As you’ll learn, Resolve actually offers one of the best sets of audio editing features of any NLE — the Fairlight audio page.After watching this video, you’ll be able to find all of the audio tools you need in Resolve — like the track mixer, EQ settings, pan mixer, etc.How to Render or Export In DaVinci ResolveNow that your edit is done, you need to know how to export it.In this episode, Lewis walks us through the Delivery Page. This is where you’ll find all of your rendering options. Resolve has included handy presets for various social platforms (YouTube, Vimeo, etc.), which stay up to date with the respective platform’s suggestions.Aside from that, the render settings and options are exactly what you’re used to in any other editing software.How to Set Up Basic User Settings In DaVinci ResolveResolve gives you a lot of control when it comes to GPU usage and memory settings. There are also a lot of settings for playback and audio input and output. As you are probably used to with other editors you’ve used, these settings are all among the basic user settings.In this episode, Lewis covers all of these various settings. This way, you can put everything you’ve learned to good use — with all of the right settings for your machine.How to Color Correct and Color Grade in DaVinci ResolveAs an added bonus, we didn’t forget the thing we all know DaVinci Resolve for the most — color grading! In this video tutorial from RocketStock, Lewis shows us the ropes with the color side of Resolve. Check it out!Looking for even more information on DaVinci Resolve? Check out these articles and tutorials.Using the Track Select Forward Tool in DaVinci Resolve 15Color Grading Tips: The Ins and Outs of Correcting for a Pink SkyColor Grading: Working with the Hue vs. Curves in DaVinci ResolveRevive Your Footage With Resolve 15’s Automatic Dirt Repair and Dust Buster ToolsHow to Use the Shared Node Feature in DaVinci ResolveQuick Tip: How To Use Optimized Media In DaVinci ResolveRemove Unwanted Shot Features With Resolve 15’s Patch ReplacerGet To Know DaVinci Resolve 15’s Super Scale FeatureYour Guide to Working with Project Files in DaVinci Resolvelast_img read more