text:
Кемза је митолошко биће приказивано као неман која дави људе и животиње. Верује се да живи у води или поред воде (реке и језера) и да напада рибарске бродове. Кемза је биће налик караконџули и ђаволу. Ово биће среће се у словенској митологији и у разним другим културама. Спомиње се код Бугара (кандзо, канзо, кандзил итд.), Македонаца, Црногораца, Грка. Користили су га за плашење деце. Изгледа као велика змија, са великим испупченим очима које сијају као бисери, огромном главом и малим роговима на њој. Веровања у кемзу доводе се у везу са веровањима у але, водењаке и водене духове.
Постоји веровање да кемза мами купаче у вир, где се вода окреће у круг, и да тамо репом увија жртву, која се после више не може спасити. У околини Алексинца употребљава се клетва: "Однеја те кендза." Постоји такође израз "Тера га кендза". Најчешће се користи за некога ко ради нешто што не би требало. Ово биће је у околини Крушевца, као и у неким другим крајевима називано анђама, што је један од израза за ђавола. У Македонији је забележен обичај да се за Божић меси колач у облику змије – караконџул који се окачи у димњак и тако стоји све до Крстовдана. У околини Скадарског језера постоји веровање да у језеру живи блавор.

Постоји претпоставка да реч кенза води порекло од цинцарског израза за караконџулу (кара-кондза). Представе о овим змијоликим неманима се на неки начин доводе у везу са митовима о Ахелоју, грчком богу реке Ахелој, за којег се веровало да може да се претвори у змију или у бика. Веза која се уочава између ових водених бића указује на то да постоји повезаност митолошких представа о њима.

Извори

Словенска митологија


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Q: MaterialBetterSpinner crashed on click I am using com.weiwangcn.betterspinner, but instead of declare it in XML file, I create it programmatically. Below is my code, short and simple.
final MaterialBetterSpinner spinnerSoftener = new MaterialBetterSpinner(getActivity());
spinnerSoftener.setId((View.generateViewId()));
spinnerSoftener.setHint("Softener");
spinnerSoftener.setLayoutParams(new LinearLayout.LayoutParams(ViewGroup.LayoutParams.MATCH_PARENT, ViewGroup.LayoutParams.WRAP_CONTENT));

List<Mill_Softener_Type> softenerList = presenter.getSoftener();
if(softenerList.size() == 0)
{
    spinnerSoftener.setAdapter(new ArrayAdapter<>(getActivity(), android.R.layout.simple_spinner_dropdown_item, new ArrayList<>()));
    spinnerSoftener.setEnabled(false);
}
else
{
    System.out.println("softener size: " + softenerList.size());
    spinnerSoftener.setAdapter(new ArrayAdapter<>(getActivity(), android.R.layout.simple_spinner_dropdown_item, softenerList));
    spinnerSoftener.setEnabled(true);
}
container.addView(spinnerSoftener);

The problem is when I click on the spinner, it will throw a NullPointerException. Below is the error code:
java.lang.NullPointerException: Attempt to invoke interface method 'int java.util.List.size()' on a null object reference
at android.widget.ArrayAdapter.getCount(ArrayAdapter.java:337)
at android.widget.AdapterView.checkFocus(AdapterView.java:732)
at android.widget.AdapterView$AdapterDataSetObserver.onInvalidated(AdapterView.java:855)
at android.widget.AbsListView$AdapterDataSetObserver.onInvalidated(AbsListView.java:6187)
at android.database.DataSetObservable.notifyInvalidated(DataSetObservable.java:50)
at android.widget.BaseAdapter.notifyDataSetInvalidated(BaseAdapter.java:59)
at android.widget.ArrayAdapter$ArrayFilter.publishResults(ArrayAdapter.java:546)
at android.widget.Filter$ResultsHandler.handleMessage(Filter.java:282)
at android.os.Handler.dispatchMessage(Handler.java:102)
at android.os.Looper.loop(Looper.java:148)
at android.app.ActivityThread.main(ActivityThread.java:5417)
at java.lang.reflect.Method.invoke(Native Method)
at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:726)
at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:616)

softenerList isn't null, I can print out its size from else part. I don't know what is the problem, any idea?

A: List<Mill_Softener_Type> softenerList = new ArrayList<>();

 softenerList = presenter.getSoftener();

A: here presenter.getSoftener(); return null values, so you have to check first if it is giving null values reference.
List<Mill_Softener_Type> softenerList = presenter.getSoftener();

if (softenerList != null){
  if(softenerList.size() == 0) {
    // your code
  } else {
    // your code
  }
  container.addView(spinnerSoftener);
}

A: Generally, I don't see why you can't use XML here, but the list is not null, since you say you can print the size and the stacktrace says otherwise.
Regardless, I would re-write that without the new ArrayList<> because if you have an empty list, you'll have an empty adapter. No need to treat it any differently.
final Context context = getActivity();
final MaterialBetterSpinner spinnerSoftener = new MaterialBetterSpinner(context);
spinnerSoftener.setId((View.generateViewId()));
spinnerSoftener.setHint("Softener");
spinnerSoftener.setLayoutParams(new LinearLayout.LayoutParams(ViewGroup.LayoutParams.MATCH_PARENT, ViewGroup.LayoutParams.WRAP_CONTENT));

List<Mill_Softener_Type> softenerList = presenter.getSoftener();
if(softenerList != null)
{
    int size = softenerList.size();
    System.out.println("softener size: " + size);
    spinnerSoftener.setAdapter(new ArrayAdapter<>(context, android.R.layout.simple_spinner_dropdown_item, softenerList));
    spinnerSoftener.setEnabled(size > 0);
}
container.addView(spinnerSoftener);

And if you still get exceptions, then they are likely caused elsewhere in the code, whether that is in yours or in the library you are using.

redpajama_set_name: RedPajamaStackExchange


When playing a MSE content, an error message if playback doesn't begin shortly, try restarting your device could be displayed sometimes after a while telling that the video has stopped and will not start anymore. To work around, play another media, then play again the MSE content. The best practise consists in playing the MSE content URI with a fixed duration (ex: duration 1 hour).
Set the user preference media.mediasource.enable to false. The error message An error occurred. Please try again later (Playback ID: ...) should be displayed when trying ten to play an MSE content in this condition. This message could be seen also when playing another video at the same time while the dual video decoding is not supported on this device.


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AI, Data, and Optimism with Donald Clark
By Jackie Harman | Last Updated: April 20, 2021
With an unmatched passion, knowledge, and optimism related to advances in learntech, Donald Clark has over three decades of experience at the intersection of technology and learning. He is CEO of WildFire, an AI content creation company, and a professor, researcher, speaker, and learntech blogger (he's written a series of posts on 100 learning theorists who have shaped the world of learning). He's also author of the book Artificial Intelligence for Learning. (Listen to the audio at the end of the episode for a special discount offer on the book for Leading Learning Podcast listeners.)
In episode two of our seven-part series exploring the frontiers of learning technology, Celisa talks with Donald about the important role of artificial intelligence and data in shaping the learntech landscape. They also discuss related trends, what's on the horizon, and key ideas learning businesses and society need to consider to ensure effective and positive applications of learntech, now and in the future.
To tune in, just click below. To make sure you catch all future episodes, be sure to subscribe via RSS, Apple Podcasts, Spotify, Stitcher Radio, iHeartRadio, PodBean, or any podcatcher service you may use (e.g., Overcast). And, if you like the podcast, be sure to give it a tweet.
Access the Transcript
Download a PDF transcript of this episode's audio.
[00:24] – Intro and background info about Donald Clark
The Frontiers of Learning Technology
[03:18] – When you think of the phrase "frontiers of learning technology," what comes to mind?
Donald shares that because he's tended to always to work on the leading edge of technology, and, for him, "frontiers of learning technology" means two things: artificial intelligence and data.
Really everything we do online is mediated by AI and data.
The whole online world is supported and mediated by AI except in learning, which is why he's focused on AI in learning for the past four to five years. Not only has he built and invested in companies that focus on AI in learning, but he wrote Artificial Intelligence for Learning, which lays out the landscape around this really radical shift in technology.
He highlights several big shifts in technology, the biggest one being writing, which shaped and created the culture of our species, along with the alphabet and then printing. He explains that these are all learning technologies and multipliers of culture. The computer came along in the 1970s, and then the Internet itself, another event some would argue was as big as writing. Now the big paradigm shift is to AI and data, which start to mimic teaching and learning in a much more sophisticated way.
Over-Hyped Trends in Learntech
[05:15] – When you think about trends, do any fall in the camp of the over-hyped or dead-ends, things distracting us from other technology that might actually help with learning?
Donald thinks there are certainly some things that are more niche than general. He likes to look at the consumer technology that influences learning technology universally, and AI and data fit the bill—as do writing, computers, and social media.
But there are some niche things that people claim to be universal, such as Google Glass. He says virtual reality (VR) is not a dead-end, but it is a niche product currently and we don't quite know where it's going to end up. He also thinks augmented reality (AR) is over-hyped. There are trends whose efficacy in learning are somewhat exaggerated.
Another trend he thinks is exaggerated is gamification. Donald says it could be useful, but only in a Pavlovian badging sense. Badges are another trend he thinks is over-hyped.
Trends with Significant Potential for Learning
[07:08] – Which trends have significant potential for learning?
Donald likes to think about that question by considering which technologies reflect good learning theories and how we really learn. Some technologies fit learning; some don't. The ones that really fit—and this is why he thinks AI and data are so important—are the ones that shape the interfaces, make learning easier, and avoid cognitive overload. For example, voice interface AI (such as with Google Alexa) has given us text-to-speech and speech-to-text that makes these interfaces almost frictionless.
The brain has evolved to where we don't really learn how to speak or understand what people are saying—it comes effortlessly. But we did have to learn how to read and write. Our big fingers on tiny touch screens are a poor way of interfacing with anything. AI should make learning smoother and easier. We want to get to the learning, not worry about the interface.
The algorithmic side of AI, fueled by data, is allowing us to personalize learning, which is very important. This is the big shift in pedagogy that he thinks is afforded by AI. AI can be sensitive to what learners are finding difficult at a precise moment and help.
We vector through learning differently. We're all in a different learning journey, even when you're sitting in a classroom with 30 people. You're all sort of going at different speeds, different things going on in your head, different types of difficulties. So this personalization of learning is terribly important.
AI for Personalization of Learning
[09:14] – Where are we in the application of AI to personalize learning? Do you have examples of where AI is being used successfully to support learning interactions?
Donald points out that we tend to think about AI as present and future tense, but it's already been around for a couple of decades. For example, we all use Google, and Google is pure AI. It gives us what we're interested in at the exact moment of need. He doesn't just mean Google Search; he means the searchability of the content. Nobody doing PhD research would want to trade Google Scholar to return to wandering down shelves, looking for bits of paper in journals. AI makes research more efficient.
AI is already touching adaptive learning, which is increasingly being adopted.
There's also the recommendation engine side of AI, which tries to determine where learners are on their learning journey in order to suggest appropriate content, as well as provide learning support through chatbots or the like. All this is enabled by AI. AI is also being used for anti-plagiarism, and there's even the creation of online learning content using AI (such as what WildFire does).
I think we're at this embryonic stage where the sophistication of AI is bringing sophistication to technology-based learning to get us out of a really, what was a necessary stage, which was almost multimedia production. Lots of videos, thinly punctuated by multiple-choice questions…. What it needs to do is become more like a teacher. Be more sensitive to you as a learner, be more adaptive, more responsive,to be able to tackle your needs at exactly that moment. And you can only do that by using data. This is terribly important. I need to know about you as an individual, where you are exactly, how you got there, the context you're in, butI also need aggregated data from all the other learners that are taking this course so that I can bring that to bear,right at that moment of need.
The Near Future of Learntech
[12:40] – How would you characterize learntech in the near future? Are we going to have breakthroughs? Is it going to be disruptive innovation, more incremental innovation, something else? How would you describe what you think is going to come in the next three years or so?
Donald predicts in the next three years we'll have a hybrid phase, as we move from one paradigm to another. Netflix gives you an AI-mediated, tiled, personalized menu. Nobody has to learn the Netflix menu—it scrolls to the right across a topic and in-depth for new topics. It's almost an effortless interface. But Netflix exists alongside broadcast television, which isn't disappearing anytime soon (although it will diminish as the new streaming service comes into mode).
The best contrast might be between traditional VLEs (virtual learning environments) or LMSes (learning management systems), which will continue for some time because they manage and store stuff (though rather crudely) with the SCORM standard. But he thinks they are going to be replaced to a very large degree—and quite quickly—by LXPs (learning experience platforms). LXPs will enable AI- and data-driven learning journeys that are much more sophisticated, respond to the learner, and deliver personalized learning.
The More Distant Future of Learntech
[14:11] – In the more distant future, what do you see as the direction for learntech?
The shift is starting now. For example, there are now $3 million deals on LXPs, and that wouldn't have happened just a few years ago, but it's now happening with the larger global companies.
He admits that looking further out is always dangerous because the further you go out the probability drops off dramatically of you being correct. But he says the AI- and data-driven approach is irreversible. It's is the technology of the age, and the idea that we'll go back to a client-server model is plainly ridiculous.
There are some really interesting developments that he thinks don't get enough attention when thinking five to ten years out. First, and this may be within the three-year horizon, is Starlink. The underlying technology for online delivery, especially AI and data, is bandwidth, is the Internet itself. The promise here (likely within a year or two) is that high bandwidth 5G will be available anywhere on planet Earth at a reasonable price because the prices will fall with volume. Donald thinks that will be revolutionary in our ability to deliver technology-based learning to anyone, anywhere, anytime.
Donald notes the great thing about having high bandwidth anywhere is it allows the use of personalization and AI and data in a way previously impossible because streaming is data-hungry. Also, the use of AI needs high bandwidth because you don't want latency; the experience should be smooth.
Another area further out that Donald finds fascinating is the work by Neuralink and others. We have to be careful with these invasive and noninvasive techniques around the brain. He's highly suspicious of the value of the noninvasive techniques, where you put a little helmet on and have a light flashing on your forehead, because what it's measuring is EEG (electroencephalogram), which is a messy signal. He finds claims that we'll be able to tell whether learners are paying attention or not farfetched.
However, the invasive techniques are starting to get interesting. We already have the Utah Array, and there are 150,000 people with that in their heads, helping them to move their arms and legs.
See below for an example from Neuralink, which shows a monkey playing a simple video game after getting implants of the new technology.
Donald says we know that putting fibers in the brain to stimulate portions of the brain works, but the interesting possibility is the ability to read and write to the brain. When you've got tiny fibers—a fraction of the width of a human hair—and you can put them in without bleeding, then you can start reading data, and you need AI to interpret that data accurately.
Writing data back to the brain begins to get into the realm of science fiction because we're nowhere near this practically, but imagine sometime in the future if where we could pay $50 to learn Spanish.
But he points out there's a bigger prize at stake here, which Neuralink is focused on: solving mental illness problems. For example, using technology to get rid of depression. So this isn't just about toys, gimmicks, or gadgets. Rather, there are some real possibilities the technologies will afford us.
Sponsor: BenchPrep
[20:53] – If you're looking for a partner to help you realize the possibilities of learning technology, check out our sponsor for this series.
BenchPrep is a pioneer in the modern learning space, digitally transforming professional learning for corporations, credentialing bodies, associations, and training companies for over a decade. With an award-winning, learner-centric, cloud-based platform, BenchPrep enables learning organizations to deliver the best digital experience to drive learning outcomes and increase revenue.
The platform's omni channel delivery incorporates personalized learning pathways, robust instructional design principles, gamification, and near real-time analytics that allow organizations across all industries to achieve their goals. More than 6 million learners have used BenchPrep's platform to attain academic and professional success. BenchPrep publishes regular content sharing the latest in e-learning trends.
To download BenchPrep's latest e-books, case studies, white papers, and more go to www.benchprep.com/resources.
Getting Learntech Right
[22:03] – If we get learning technology right as society, what's the good that we might see coming from learntech? And what are some of the things that we need to do to make sure that we get it right?
There are people, especially in academia who say they're involved in AI and ethics, but it's not really ethics, according to Donald. Ethics is the study of moral principles, good and bad. But what they're doing, he says, is more like activism. They're looking for bias, gender issues, or racism around AI. They're looking for the flaws, and that's not really ethics because they're discounting the other side, the good side. Ethics takes a more balanced view of what's good and bad.
Donald thinks there are big moral issues here. Higher education in particular produces massive inequalities, and it's become a generator of inequalities. The future technology-driven world offers a chance to balance things out and get education to everyone cheaply.
We cannot go on charging people tens of thousands of dollars a day for a little certificate at the end that's really a sorting mechanism. Of course, it has value. Of course, people learn things at college, but about 80 percent of it is signaling. In other words, it's giving employers a signal that you stuck at it a little bit, that you come from a certain class and background, and so on. I think that's unacceptable now because it's led to such inequalities and such a fractious world that I think it's no longer sustainable. So I think we have to make learning cheaper, faster, better, more accessible globally.
Donald thinks globally is an important word if we're going to solve climate change and get around the economic issues that we face today. The current system doesn't work—it's far too expensive, clumsy, and slow. We have to begin to rebalance system.
Donald doesn't believe lifelong learning has anything to do with going back to college. Hardly any adult who went through college wants to go back, and hardly any of them do because that's not what lifelong learning is about. Lifelong learning is about become an autonomous learner, being curious, and learning on your own.
Getting Learntech Wrong
[26:57] – What are the dangers we're up against if we don't approach learning technology in the right way? Any thoughts around what actions might lead us to get learntech wrong?
Donald thinks we're already getting it wrong, particularly when it comes to cost, with $1.8 trillion in federal debt around student loans and people are struggling to pay that money back because they're un- or underemployed. Academics fly everywhere at the drop of a hat to to to a conference, and, if we think that's acceptable in terms of climate change, then we have to think again.
He says we're now in sort of disaster avoidance mode, with economic issues and climate change. Technology promises a greener world. We went through an amazing experiment during COVID, where almost everybody on the planet had to do online learning (and he doesn't buy the idea that kids were traumatized by it).
Donald suggests we need to look forward to a blend between the online and offline, with learning but also with work. We may spend two to four days a week working at home with the days in an office—or maybe wholly at home. Everything will be blended in the future. We're now doing blended eating (with food getting delivered to our doors in COVID times) and blended entertainment (watching more movies than ever through Netflix).
Donald thinks the technology has shown we can help solve the climate change issue. And technological innovation is ultimately perhaps our only hope with climate change, and that's a result of education and learning.
Donald is optimist. He thinks technology is a force for good, and that's why he gets disappointed when he sees armies of people on social media looking for little bits of bias in algorithms when we know human beings are packed full of bias. Donald says we're all racist and sexist, and it's very difficult to get rid of that bias. But at least we can work towards improving these other systems to reduce the levels of bias. The danger is that we throw the baby out with the bathwater—and the bath. We throw the whole lot out because we think there's some bias or unfairness in an algorithmic system that actually exists in the human system anyway.
See our related episodes that deal with bias: Diversity and Disruption with Shilpa Alimchandani and Getting Conscious About Bias with Howard Ross and Shilpa Alimchandani.
Donald thinks China perhaps will leap ahead because they don't have the same view of these issues. He says Europe tends to be stuck in the middle here, with less innovation and loads of regulation. Americans have innovation on their side with some of the great tech innovations coming from the US (and he thinks this will continue to be the case).
Technology to Address Learning-Related Problems and Opportunities
[31:33] – Are there learning-related problems or opportunities that we need technology to address? Are there things we can't solve without learning technology or technology more broadly?
Almost everyone with learning difficulties has been helped by AI and data, and Donald thinks we have a chance of tackling the difficulties every individual has in learning. This has already happened in the world of accessibility. For people with hearing and visual impairment, it's been AI that's led the way with text-to-speech and speech-to-text systems.
Mathematics and language learning are areas of catastrophic failure for most people. We can use technology to help solve failure and get people through obstacles.
I think once we pay attention to the learning theory and match that with the technology we can massively accelerate learning for the good of all, for the good of everyone.
Advice for Learning Businesses
[34:05] – What advice do you have for a learning business looking to effectively use learning technology and trying to decide what to focus on, what to invest in, and where to put their resources?
Donald recommends learning businesses look at AI and data with more vigor. Remember that learning is a process, not an event. Nobody learns anything by just sitting in a lecture or a one-off course, online or offline. Almost all learning is asynchronous and after the event. We know how people learn, and, more importantly, we know a lot about how people forget and fail. If we start addressing those issues using the technology, we will accelerate learning and have a much higher degrees of success.
Donald only invests in AI- and data-based learning companies now because that's the future. We live in the age of algorithms, AI, and data. And if your learning business is not thinking about using those, then another organization will come along that is.
AI- and data-driven companies are growing, with the biggest ones being either American or Chinese. Google, Facebook, Microsoft, and Apple are all really AI companies. If you ask any of the CEOs of those companies what the underlying technology is that they use and develop, they would say AI. Donald says these companies are now starting to dabble in education and learning.
He also adds that we're looking at hybrid AI-with-human models coming along. That's happening already in adaptive learning, in learning experience platforms (LXPs).
Consumer Technology with the Most Potential for Learning
[37:25] – What consumer technology do you see having the most potential for learning?
Donald clarifies that when he refers to AI, it's not one thing—it is many, many things. Text-to-speech/speech-to-text is one species of AI that relies on natural language processing (NLP).
Then there are the big models, such as GPT-3, that generate online learning content automatically. He's built a system that does that. You just send him a video, a PowerPoint, text, etc., and he cuts and pastes it into the system that then generates online learning content, not multiple-choice questions, but questions that can be interrogative. So it will ask a learner a question, she types a short paragraph, and AI interpret that paragraph semantically and meaningfully. These little bits of AI are moving ahead on a broad front and allowing us to do things we could never do with technology before.
Donald Clark explains WildFire's AI content creation tool.
Donald thinks AI will have big cultural and economic impact because it's a massive multiplier. You can scale it, and it extends cognition in a way that other technology doesn't. For example, video is a very poor medium for learning (unless the goal is emotional impact or to cause an attitudinal shift). AI is replacing some teaching tasks, and that's why it's more important. It can scale, and it allows us to enable pedagogies like spaced practice, interleaving, all the things we know will work, but never had the chance to apply.
AI comes from consumer technology. If you buy something on Amazon or go on Netflix, the reason they have these personalized screens is they're trying to target what you want. That's what we need in learning. AI melds hardware and software together in a very powerful fashion. Donald thinks there's a huge amount of good to come from this in the learning and education sphere.
Donald points out that we don't regard things like writing, printing, or books as technology, but they were in their day. What we tend to do is historically declassify or discount the technology from before we were born. We don't see a dishwasher as a piece of technology now, but it was. He predicts we'll see the current e-learning, LMSes, MOOCs, and so on as old hat very soon because of this newer age of algorithms, data, and AI.
AI As Comprehension Without Competence
[41:05] – I've heard you describe AI as comprehension without competence. Would you talk a little bit about what the implications of that might mean when applying AI in the service of learning?
When describing AI to people in the education and learning profession Donald stresses the importance of truly understanding what it is. He describes AI as an idiot savant. It's incredibly smart at very precise things but incredibly stupid at general intelligence.
But AI doesn't have to be a form of human intelligence to be effective. It's terribly important in terms of the application of AI that we don't over anthropomorphize.
The future of AI is not going to be little robot teachers. It's not going to be robot teachers, full stop. It's such a great fallacy this. It's going to be more like Google. It's going to be online. It's going to be from Starlink. It's going to be on whatever devices we carry around with us, coming into our glasses, AR, whatever. It's going to be online stuff. Incredibly smart because of the hidden force of AI behind the scenes. It will be invisible, and that's the point.
AI shouldn't replace the human brain because the human brain is a terrible, messy organ. It's inattentive and gets easily distracted, emotional, and depressed. It forgets almost everything, gets dementia, Alzheimer's, etc. We can't network from other brains or upload or download. Computers can do a lot of that stuff, so we can take a load off ourselves by using this technology.
AI has a long way to go before being human, but it doesn't have to be human to be effective.
A Shift to LXPs
[43:49] – LXPS are getting a lot of attention these days, the Netflix-like learning being very attractive. What are your thoughts on the differences that LXPs represent versus other learning technologies, like LMSes? What's driving the shift?
Donald thinks what's driving the shift is the idea that you spend a lot of money just storing and managing stuff on an LMS, which is really mimicking the old course structure. Learning is a process, not an event. With LXPs, we flip that model and look at how people actually learn. We learn in a fragmented and informal fashion. He references the 1991 book Electronic Performance Support Systems by Gloria Gery, which talks about unintentional learning and how most of learning just happens to us.
He says LXPs are more dynamic. They use AI for recommending and predicting the future and automating processes. They push stuff to learners, but also allow learners to pull stuff.
There are other species of push that are more dynamic and process-like. For example, Donald talks about spaced practice, which works superbly well. But how many of us use it? Almost nobody. But now we have the technology where the algorithms can personalize spaced practice, just as Duolingo does with a language. Duolingo is worth $1.5 billion and has 100 million learners in their sy,stem and that's because it uses this type of tech. It's adaptive. It's an LXP-type system that will send notifications to you. If you go away for the weekend and stop learning Spanish, it knows you're going to forget some so it takes, you back a little bit. Donald asserts this type of smart technology will shape the future of learning—it already is.
LXPs are data-driven, often using a learning record store (LRS) to fuel the LXP.
When we look into the future, we need to have an ethical concern and focus then on what really matters—and that's people and their needs in terms of accessibility and cost. Donald points out that everything has become too expensive, making it far too elitist. We need to make sure that people can afford learning, that it's available, most likely for free.
All the learning he does is free—for example, listening to podcasts. Some 60 percent of all Americans listen regularly to podcasts, and Donald says nobody could have predicted that, which is what's so exciting.
This interview is taking place on different parts of the planet, and then we publish it, and anybody can hear it for free. When Starlink comes along, anybody, literally anywhere on planet Earth, can listen to that podcast for free. Donald notes that we've gotten pessimistic about technology; we need to have more optimism.
[49:35] – Wrap-up
Donald Clark is CEO of WildFire, an AI content creation company, and author of Artificial Intelligence for Learning, which is recommended reading if you want to better understand how AI can support learning. We're pleased to be able to offer Leading Learning Podcast listeners a 20-percent discount with free delivery in the US. (Listen to the audio to get the discount code.)
We also encourage you to take time to peruse Donald's blog. There you'll find insights and reflections on learntech, including the series on 100 learning theorists.
To make sure you don't miss the new episodes, we encourage you to subscribe via RSS, Apple Podcasts, Spotify, Stitcher Radio, iHeartRadio, PodBean, or any podcatcher service you may use (e.g., Overcast). Subscribing also helps us get some data on the impact of the podcast. And remember how important data is!
We'd also appreciate if you give us a rating on Apple Podcasts by going to https://www.leadinglearning.com/apple. We personally appreciate your rating and review, but more importantly reviews and ratings play a big role in helping the podcast show up when people search for content on leading a learning business.
We encourage you to learn more about the sponsor for this series by visiting benchprep.com/resources.
Finally, consider following us and sharing the good word about Leading Learning. You can find us on Twitter, Facebook, and LinkedIn.
[51:52] – Sign-off
Other Episodes in This Series:
Learntech: The Next Generation
Episodes on Related Topics:
Three Big Technologies Changing the Learning Landscape
Putting Foresight – and Artificial Intelligence – First with Jeff De Cagna – Part I
Putting Foresight – and Artificial Intelligence – First with Jeff De Cagna – Part II
Originally Published: April 13, 2021 Category: Capacity, Leading Learning Podcast, Learning TechTag: artificial intelligence, augmented reality, author, badging, data, gamification, learning experience platform, learning technology, learntech, LXP, speaker, The Frontiers of Learntech, trends, virtual reality
Next Post: The Future Learning Ecosystem with Sae Schatz

redpajama_set_name: RedPajamaCommonCrawl


DALLAS and SANTA CLARA, Calif. (February 4, 2009) - Utell Hotels & Resorts (a service of Pegasus Solutions) and Milestone Internet Marketing have entered into a five-year renewable partnership to augment Utell's market-leading representation support with Milestone's award-winning online marketing services. As the world's largest third-party hotel marketing, sales and representation company, Utell serves more than 11,000 member hotels, which can now benefit from Milestone's top-rated, revenue-driving Internet marketing services.
The partnership was forged to relieve the burden on hotels to achieve visibility in a crowded marketplace suffering from dwindling demand, according to Ric Leutwyler, president of Utell.
"Utell's member hotels, which already employ Pegasus' distribution and booking solutions, are facing an incredibly difficult task in 2009, along with the rest of the industry," said Leutwyler. "While travel demand may shrink or stagnate, we know that online bookings are actually expected to increase. Given our responsibility to help our hotels succeed, we've aligned with Milestone to provide its award-winning search marketing strategy to our members so they can break through the online noise."
Milestone, which offers Internet marketing services including Web site design, search engine optimization, pay-per-click advertising, social media optimization and email marketing, was honored with 11 awards in 2008, including three Adrian Awards for its creative brilliance and best practices in Internet marketing. The company will focus on offering Utell customers tailored solutions that complement their current offering from Pegasus, according to Anil Aggarwal, CEO of Milestone.
"With Pegasus' leading solutions provided via Utell, from booking and connectivity to representation, the company is already focused on driving the greatest revenue from the Internet for hotels," said Aggarwal. "Milestone's market-leading Internet marketing services take this online offering to the next level. Our online marketing technology and innovative approach to promoting Web sites - including advanced Web 2.0 elements like online videos, blogs, and social media - make these sites among the most advanced in the hotel industry. As a result, they drive significant return on investment. With a tough economic outlook for the lodging industry in 2009, the combined forces of Utell and Milestone will enable hotels to grab a larger market share and minimize negative effects from damaging market forces."
Milestone Internet Marketing, Inc. is a leading provider of Internet marketing solutions for the lodging industry. Milestone's portfolio of services include Web site design, search engine optimization, pay-per-click marketing, email marketing and several social media optimization initiatives like online videos, blogs, RSS, etc. Milestone currently works with more than 700 hotels, and drives over $100 million in annual revenue for its clients. The company is a preferred vendor for several major lodging industry brands, and works with some of the leading management companies in the U.S. Milestone is well known as a lodging industry education for its "Hotels to HTMLs™" Internet marketing workshops and book. For more information about Milestone products and services, visit www.milestoneinternet.com.
Utell® Hotels & Resorts is the representation business unit of Pegasus Solutions. This includes both the Utell and Unirez representation services which enable nearly 11,000 independent and small group hotels in over 130 countries to compete globally.Established almost 80 years ago, Utell is the world's largest and most experienced sales, marketing and distribution service for hotels. With a comprehensive international portfolio that encompasses luxury, boutique, value, business and resort properties, Utell caters for a variety of accommodation requirements for both business and leisure travelers. Utell's products and services are used by thousands of travel agencies worldwide in addition to major TMCs, corporations and consortia groups. Visit www.utell.com.


The effort to replace the Planning Commission is to foster cooperative federalism and in view of the changing roles of the states, Prime Minister Narendra Modi would tell the Chief Ministers' conference on Sunday.
Modi is expected to communicate his belief that states have emerged over the years as growth engines and should be regarded as equal partners, according to sources.
"Empowering the states has been one of our critical beliefs," Finance Minister Arun Jaitley said a day before the conference. "I do hope that after tomorrow's (Sunday) meeting, whatever decision will be taken, probably states will be in a better position," he said at a function.
panel, which approves their annual plans, misused its discretionary powers and took biased and politically motivated decisions.
The Independent Evaluation Office set up by the Commission under Ajay Chibber, the Stanford educated former assistant secretary of the United Nations, also concluded that the plan body was getting redundant.
On Sunday, Planning Secretary Sindhushree Khullar would kick-off the conference with a presentation on functions and contours of the new institution.
The chief ministers will then be asked to give their views on the points highlighted in the concept note, prepared in consultation with experts, former members and senior officials of the panel.
The new panel is expected to have eight to ten regular or executive members representing the states, while the remaining members could be drafted in from sectors like environment, finance, engineers and science.
The Congress is likely to oppose the replacement of the Plan Panel, which it sees as an attempt by the NDA government to dismantle the Nehruvian legacy.
The Congress high command is said to have instructed the Congress chief ministers to contest the proposal, saying the government's intention was not in the spirit of good governance.
One of the Congress chief ministers, Kerala's Oommen Chandy, said on the eve of the conference that any new setup should be more effective in further strengthening the Centre-state relations.
Modi had announced in his Independence Day speech that the new body would be trusted with generating ideas for growth and development based on creative thinking, public-private partnership and optimum utilisation of resources.
Besides tapping the youth power, Modi also envisages the new panel to promote aspirations of states seeking development. Making a brief intervention during Question Hour in Lok Sabha last week, Modi had said the government was planning to involve experts and those who could provide new ideas to redefine and restructure the Planning Commission.
Earlier, Minister for Planning Rao Inderjit Singh said the Planning Commission has to come to grips with the emerging social realities to reinvent and make itself more relevant.
The Panel should effectively align the planning process with economic reforms and its consequences, particularly for the poor, the minister said.
Singh said government wishes to constantly review its planning apparatus since the role of the states and their economies have been undergoing a sea change in recent decades.
"India is now an emerging economy in an increasingly globalised world. The economy has now fundamentally changed with key sectors being open to foreign investment (leading to) the evolution of a vibrant dynamic private sector contributing substantially to growth," he said.
The state therefore has moved away from allocating government resources in a command and control ecosystem to a complex role involving mediating through policy action, creating favourable investment climate, providing public goods and essential services and direct intervention in providing social security and essential entitlements of food, health and education and livelihoods to vulnerable and marginalised groups.
Modi is said to have chosen the name the Policy Commission (Neeti Aayog) for the new body, which may be headed by the Prime Minister as the chairman's position would be ex-officio.


Tehran, YJC. Not only did the pre-sermon speaker react to 'Down with USA' shouts, but the Preacher also called for Iran and the US to "join hands".
This week's Friday prayers had to see some special changes in line with recent developments in Iran-US relations.
First, the pre-sermon speaker Mohammad Hossein Saffar Harandi, Member of the Expediency Discernment Council and consultant to the IRGC commandership, reacted to the audience's "Down to USA" shouts.
The Friday sermon also attracted quite a lot of attention by the press for calling Iran and the US to cooperate in removing the sanctions that are laid on Iran.


text:
TV ReviewsAlphasSeason 1
Alphas: "Bill And Gary's Excellent Adventure"
Emily Todd VanDerWerff
AlphasSeason 1
"Bill And Gary's Excellent Adventure"
A big part of the reason that Alphas is cooking along so well is because all of its characters are at once remarkable and grounded. Even better, the show's not afraid to let them be funny, even when they're stuck in very serious situations, like the midst of a kidnapping case. Tonight's episode, "Bill And Gary's Excellent Adventure," was yet another that didn't seem to have a whole lot to do with the episodes that came before (the case-of-the-week stuff is much more interesting to the show at present than its incipient mythology). But it was invaluable in terms of developing a couple of characters who haven't gotten as much of interest to do since the show began: the two guys right there in the title.
If there's one recurring TV character type that isn't as interesting to me as some of the others but one that keeps popping up in recent years, it's the Asperger's guy, the one who's socially awkward but a genius and gets stuff done because of his laser-minded focus. It's gone from a character that's barely seen to a cliché in rapid time, and it all too often is a way to make a serious condition seem like party tricks. Alphas has struggled with what to do with Gary from the first, often sidelining him, and in tonight's episode, they hit on a simple solution that more or less works: He really, really, really wants to be like Bill, the guy who's out there solving the cases and getting stuff done. So when he and Bill pretty much accidentally end up working on a kidnapping case (via a construction that is one of my least favorites on procedurals, the "Hey, while you're here, there's also a case that will require your skills" construction), he ends up getting to live that dream out for a little while, as the other Alphas are mostly sidelined. It's a neat idea, and I'm impressed by the kind of chemistry Ryan Cartwright and Malik Yoba display here.
I'm also impressed with how the episode is essentially a very character-driven story about how Bill's not sure he fits in on the DCIS team anymore. Granted, this is the kind of story that can quickly become grating if it's turned to too often (that's two characters in as many weeks who have wondered if they fit at DCIS), but like last week's episode did with Rachel, it's important to let Bill know that he belongs with these people. When he and Hicks are executing the plan to save the kidnapped girl at the end and he bursts through a wall like Kool-Aid Man, that's a great moment for his character, and I was impressed that the show was able to build a believable arc where he was sorely tempted by his old life at the start and pretty sure DCIS was the place for him at the end. So long as Alphas doesn't keep telling these types of stories, there's probably room to tell one or two about everybody on the team. It is a pretty weird idea that they'd all just be tossed together like this.
Another bonus: This episode was surprisingly, legitimately funny. From Hicks going over to Nina and Rachel's place and discovering that Nina pushed Bill Murray to pretty much every scene where Gary was cracking the case, there were solid laughs aplenty this week, and almost all of them came from character-based interactions. It's tough to do this kind of character stuff and make it funny this short into a sci-fi drama's run, so it's a good sign that all involved are able to play both the humor and the pathos of these scenes. The episode also turned on a dime to become far more about Bill and Gary's struggles in the closing acts, and that final scene where Bill and Rosen had their little chat was a good one. (David Strathairn largely sat this week out, and that's a good choice, too. For as much as he's the face of the show and its strongest single actor, he needs to be the head of an ensemble of interesting characters, not the sole compelling dude out there.)
If I have a quibble about this week's episode, it's that the case of the week is a little too standard. Last week's solution was so clever that it's a little disappointing to return to the world of kidnapped girls and double-crosses and burner cell phones. That said, I did like the gradual reveal that Sarah was in on the whole thing (and particularly liked the moment where she knocked out the GPS and blinded Gary), and I thought the final shootout, with Hicks running up the wall and the bullet-time effects, was nicely done as well. The cases on the show don't have to be all flash-bang excitement when the character stuff is as solid as it was this week, but last week's episode combined good character work with a genuinely compelling mystery that boasted a cool solution I didn't really see coming. This week wasn't quite as creative in that regard, even if it wasn't horrible or anything. (That said, the show could definitely look into a new guest actor casting agent. The quality of the guests this season has been pretty hit or miss, and the poor ones this week—especially our kidnapping victim—took me out of those scenes more often than not.)
I always feel kind of insane to be enjoying Alphas as much as I am. At this point, it kind of feels like it's just out there, without people really talking about it (even if the numbers are pretty good). Honestly, the cancellation of Eureka was a bigger story, and that's a show that's been barely clinging to life for years now. For whatever reason, Alphas doesn't seem to have attracted the kind of epic fan interest that all of these other SyFy shows attract, and I'm hoping that's just because people are catching up with it. Because this isn't just a show that's getting steadily better; it's a show that's figuring out how best to put all of the pieces together to make itself truly great. I don't know if we're going to get more off-format episodes like this one in the future, but the fact that the show is trying one like this so early in its run is a sign that it's willing to try just about anything to become the best possible version of itself. And that almost always means good things are ahead.
Stray observations:
In general, this series looks very Canadian, as opposed to anything approaching New York City in reality, but I do think it's found a pretty nice alt-universe version of New York, if that makes any sense. The locations the show visits in this episode don't really look anything like New York, but they do look like the idea of New York a science fiction author might have in their head while writing this sort of story. (Again, I'm pretty sure that makes no sense, but it has to be said.)
Hicks moves fast, doesn't he?
I did love the way the episode just dropped us into the thick of things after that scene between Bill and his wife. On the other hand, I'd rather not have his wife turn into the fun-killing girl, something the show skews uncomfortably close to from time to time.
"So he should be out in, like, 15 years."
"You pushed Bill Murray?"
"Blah, blah, blah, blah, blah, science."


text:
Голубо́вка () — село Репкинского района Черниговской области Украины. Население 41 человек.

Код КОАТУУ: 7424484203. Почтовый индекс: 15043. Телефонный код: +380 4641.

Власть
Орган местного самоуправления — Малиновский сельский совет. Почтовый адрес: 15043, Черниговская обл., Репкинский р-н, с. Малиновка, ул. Центральная, 22, тел. 4-41-10, факс 4-41-10.

Примечания

Ссылки
 Голубовка на сайте «foto-planeta.com»

redpajama_set_name: RedPajamaWikipedia


Make every frame unforgettable. Want to make better memories? Get a camera with better features-Toshiba's CAMILEO X400 Full HD Camcorder, and unleash the artist within. Fill the frame without destroying the picture, thanks to a powerful 23x optical zoom lens and Electronic Image Stabilization. Like all CAMILEO models, it records stunning 1080p Full HD video in stereo, lending sensational sound and visuals to your take on parties, vacations, graduations and other events. Need better audio? Use the built-in microphone jack. Style things up with slow-motion, time-lapse, black and white filter, and other special features. Then use the easy editing on its large 3″ touchscreen to trim the videos to your liking. Press the Pause button to stop wasting storage space and reduce file clutter by recording multiple moments into a single file. Moreover, when you just want to capture still photos, you can bet your friends and family will be all smiles with the help of smile detection. And when you're done shooting, plug in to your computer and easily upload your creation right to the Web with Toshiba's CAMILEO Uploader. Charge the X400 camcorder via USB or an AC adapter. Plus, expand your possibilities with included accessories, like a mini HDMI cable, remote control, and deluxe soft carrying case. Looking for a camcorder with loads of features and possibilities? Grab hold of Toshiba's CAMILEO X400 1080p Full HD Camcorder.


text:
CurrencyCodeType ( token )
This enumeration type contains a list of standard 3-digit ISO 4217 currency codes for currency used in countries around the world.
When adding an item through AddItem (or related API call), the Item.Currency value will default to the currency used on the listing site. Otherwise, only the following currency types may be specified through an Add/Revise/Relist call, since these are the currencies of all the countries where the Trading API is supported:
CNY - Chinese Renminbi
PHP - Philippines Peso
SEK - Sweden Krona
TWD - Taiwanese Dollar
Other currency codes in this enumerated type may be returned in GetItem (and other calls) based on the buyer's and/or seller's registration country. However, only the values listed above will be returned if you call GeteBayDetails with DetailName set to CurrencyDetails. http://www.xe.com/iso4217.htm
Types that use CurrencyCodeType:
AdditionalAccountType, CurrencyDetailsType, GetAccountRequestType, GetAccountResponseType, GetShippingDiscountProfilesResponseType, ItemType, MyeBayFavoriteSearchType, OfferType, SetShippingDiscountProfilesRequestType
Calls that use one or more values of CurrencyCodeType:
AddFixedPriceItem, AddItem, AddItemFromSellingManagerTemplate, AddItems, AddOrder, AddSecondChanceItem, AddSellingManagerProduct, AddSellingManagerTemplate, AddTransactionConfirmationItem, DeleteSellingManagerItemAutomationRule, DeleteSellingManagerTemplateAutomationRule, GetAccount, GetAllBidders, GetBestOffers, GetBidderList, GetCategoryFeatures, GetDispute, GeteBayDetails, GetFeedback, GetItem, GetItemShipping, GetItemTransactions, GetMemberMessages, GetMyeBayBuying, GetMyeBaySelling, GetOrders, GetOrderTransactions, GetSellerEvents, GetSellerList, GetSellerTransactions, GetSellingManagerInventory, GetSellingManagerItemAutomationRule, GetSellingManagerSaleRecord, GetSellingManagerSoldListings, GetSellingManagerTemplateAutomationRule, GetSellingManagerTemplates, GetShippingDiscountProfiles, GetStoreOptions, GetUserPreferences, PlaceOffer, RelistFixedPriceItem, RelistItem, RespondToBestOffer, ReviseCheckoutStatus, ReviseFixedPriceItem, ReviseInventoryStatus, ReviseItem, ReviseSellingManagerProduct, ReviseSellingManagerSaleRecord, ReviseSellingManagerTemplate, SendInvoice, SetSellingManagerItemAutomationRule, SetSellingManagerTemplateAutomationRule, SetShippingDiscountProfiles, SetUserPreferences, VerifyAddFixedPriceItem, VerifyAddItem, VerifyAddSecondChanceItem, VerifyRelistItem
ADP This value is a 3-digit code for an Andorran peseta, a currency used in Andorra.
AED This value is a 3-digit code for an United Arab Emirates dirham, a currency used in the United Arab Emirates.
AFA This value is a 3-digit code for an Afghan afghani, a currency used in Afghanistan.
ALL This value is a 3-digit code for an Albanian lek, a currency used in Albania.
AMD This value is a 3-digit code for an Armenian dram, a currency used in Armenia.
ANG This value is a 3-digit code for a Netherlands Antillean guilder, a currency used in Curacao and Sint Maarten.
AOA This value is a 3-digit code for an Angolan kwanza, a currency used in Angola.
ARS This value is a 3-digit code for an Argentine peso, a currency used in Argentina.
ATS This value is a 3-digit code for an Austrian schilling, a currency previously used in Austria. This currency has been replaced by the Euro (3-digit code: EUR).
AUD This value is a 3-digit code for an Australia dollar, a currency used in Australia. This is the value that should be passed in the Item.Currency field by the seller when listing an item on the eBay Australia site (Site ID 15).
AWG This value is a 3-digit code for an Aruban florin, a currency used in Aruba.
AZM This value is a 3-digit code for an Azerbaijani manat, a currency used in Azerbaijan.
BAM This value is a 3-digit code for a Bosnia and Herzegovina convertible mark, a currency used in Bosnia and Herzegovina.
BBD This value is a 3-digit code for a Barbados dollar, a currency used in Barbados.
BDT This value is a 3-digit code for a Bangladeshi taka, a currency used in Bangladesh.
BGL This value is a 3-digit code for the old Bulgarian lev, a currency previously used in Bulgaria. This currency has been replaced by the new Bulgarian lev (3-digit code: BGN).
BGN This value is a 3-digit code for a Bulgarian lev, a currency used in Bulgaria. This currency replaced the old Bulgarian lev (3-digit code: BGL).
BHD This value is a 3-digit code for a Bahraini dinar, a currency used in the Bahrain.
BIF This value is a 3-digit code for a Burundian franc, a currency used in Burundi.
BMD This value is a 3-digit code for a Bermudian dollar, a currency used in Bermuda.
BND This value is a 3-digit code for a Brunei dollar, a currency used in Brunei and Singapore.
BOB This value is a 3-digit code for a Boliviano, a currency used in Bolivia.
BOV This value is a 3-digit code for a Bolivian Mvdol, a currency used in Bolivia.
BRL This value is a 3-digit code for a Brazilian real, a currency used in Brazil.
BSD This value is a 3-digit code for a Bahamian dollar, a currency used in the Bahamas.
BTN This value is a 3-digit code for a Bhutanese ngultrum, a currency used in Bhutan.
BWP This value is a 3-digit code for a Botswana pula, a currency used in Botswana.
BYR This value is a 3-digit code for a Belarusian ruble, a currency used in Belarus.
BZD This value is a 3-digit code for a Belize dollar, a currency used in Belize.
CAD This value is a 3-digit code for a Canadian dollar, a currency used in Canada. This is the value that should be passed in the Item.Currency field by the seller when listing an item on the eBay Canada site (Site ID 2).
CDF This value is a 3-digit code for a Congolese franc, a currency used in Democratic Republic of Congo.
CHF Swiss Franc. For eBay, you can only specify this currency for listings you submit to the Switzerland site (site ID 193).
CLF This value is a 3-digit code for a Unidad de Fomento, a currency used in Chile.
CLP This value is a 3-digit code for a Chilean peso, a currency used in Chile.
CNY This value is a 3-digit code for a Chinese yuan (also known as the renminbi), a currency used in China.
COP This value is a 3-digit code for a Columbian peso, a currency used in Columbia.
CRC This value is a 3-digit code for a Costa Rican colon, a currency used in Costa Rica.
CUP This value is a 3-digit code for a Cuban peso, a currency used in Cuba.
CVE This value is a 3-digit code for a Cape Verde escudo, a currency used in Cape Verde.
CYP This value is a 3-digit code for a Cypriot pound, a currency previously used in Cyprus. This currency has been replaced by the Euro (3-digit code: EUR).
CZK This value is a 3-digit code for a Czech koruna, a currency used in the Czech Republic.
DJF This value is a 3-digit code for a Djiboutian franc, a currency used in Djibouti.
DKK This value is a 3-digit code for a Danish krone, a currency used in Denmark, the Faroe Islands, and Greenland.
DOP This value is a 3-digit code for a Dominican peso, a currency used in the Dominican Republic.
DZD This value is a 3-digit code for an Algerian dinar, a currency used in Algeria.
ECS This value is a 3-digit code for an Ecuadorian sucre, a currency previously used in Ecuador. This currency has been replaced by the US Dollar (3-digit code: USD).
ECV This value is an old 3-digit code for a Cape Verde escudo, a currency used in Cape Verde. The 'ECV' code has been replaced by 'CVE'.
EEK This value is a 3-digit code for an Estonian kroon, a currency previously used in Estonia. This currency has been replaced by the Euro (3-digit code: EUR).
EGP This value is a 3-digit code for an Egyptian pound, a currency used in Egypt.
ERN This value is a 3-digit code for an Eritrean nakfa, a currency used in Eritrea.
ETB This value is a 3-digit code for an Ethiopian birr, a currency used in Ethiopia.
EUR This value is a 3-digit code for a EURO, a currency used in Andorra, Austria, Belgium, Cyprus, Estonia, Finland, France, Germany, Greece, Ireland, Italy, Kosovo, Luxembourg, Malta, Monaco, Montenegro, Netherlands, Portugal, San Marino, Slovakia, Slovenia, Spain, and Vatican City. This is the value that should be passed in the Item.Currency field by the seller when listing an item on the following sites: Austria (Site ID 16), Belgium_French (Site ID 23), France (Site ID 71), Germany (Site ID 77), Italy (Site ID 101), Belgium_Dutch (Site ID 123), Netherlands (Site ID 146), Spain (Site ID 186), and Ireland (Site ID 205).
FJD This value is a 3-digit code for a Fiji dollar, a currency used in Fiji.
FKP This value is a 3-digit code for a Falkland Islands pound, a currency used in the Falkland Islands.
GBP This value is a 3-digit code for a Pound sterling, a currency used in the United Kingdom and British Crown dependencies. This is the value that should be passed in the Item.Currency field by the seller when listing an item on the eBay UK site (Site ID 3).
GEL This value is a 3-digit code for a Georgian Iari, a currency used in the country of Georgia.
GHC This value is an old 3-digit code for a Ghanaian cedi, a currency used in Ghana. The 'GHC' code has been replaced by 'GHS'.
GIP This value is a 3-digit code for a Gibraltar pound, a currency used in Gibraltar.
GMD This value is a 3-digit code for a Gambian dalasi, a currency used in Gambia.
GNF This value is a 3-digit code for a Guinean franc, a currency used in Guinea.
GTQ This value is a 3-digit code for a Guatemalan quetzal, a currency used in Guatemala.
GWP This value is a 3-digit code for a Guinea-Bissau peso, a currency previously used in Guinea-Bissau. This currency has been replaced by the West African CFA franc (3-digit code: XOF).
GYD This value is a 3-digit code for a Guyanese dollar, a currency used in Guyana.
HKD This value is a 3-digit code for a Hong Kong dollar, a currency used in Hong Kong and Macau. This is the value that should be passed in the Item.Currency field by the seller when listing an item on the eBay Hong Kong site (Site ID 201).
HNL This value is a 3-digit code for a Honduran lempira, a currency used in Honduras.
HRK This value is a 3-digit code for a Croatian kuna, a currency used in Croatia.
HTG This value is a 3-digit code for a Haitian gourde, a currency used in Haiti.
HUF This value is a 3-digit code for a Hungarian forint, a currency used in Hungary.
IDR This value is a 3-digit code for an Indonesian rupiah, a currency used in Indonesia.
ILS This value is a 3-digit code for an Israeli new shekel, a currency used in Israel and in the Palestinian territories.
INR This value is a 3-digit code for an Indian rupee, a currency used in India.
IQD This value is a 3-digit code for an Iraqi dinar, a currency used in Iraq.
IRR This value is a 3-digit code for an Iranian rial, a currency used in Iran.
ISK This value is a 3-digit code for an Icelandic krona, a currency used in Iceland.
JMD This value is a 3-digit code for a Jamaican dollar, a currency used in Jamaica.
JOD This value is a 3-digit code for a Jordanian dinar, a currency used in Jordan.
JPY This value is a 3-digit code for a Japanese yen, a currency used in Japan.
KES This value is a 3-digit code for a Kenyan shilling, a currency used in Kenya.
KGS This value is a 3-digit code for a Kyrgzstani som, a currency used in Kyrgystan.
KHR This value is a 3-digit code for a Cambodian riel, a currency used in Cambodia.
KMF This value is a 3-digit code for a Comoro franc, a currency used in Comoros.
KPW This value is a 3-digit code for a North Korean won, a currency used in North Korea.
KRW This value is a 3-digit code for a South Korean won, a currency used in South Korea.
KWD This value is a 3-digit code for a Kuwaiti dollar, a currency used in Kuwait.
KYD This value is a 3-digit code for a Cayman Islands dollar, a currency used in the Cayman Islands.
KZT This value is a 3-digit code for a Kazahhstani tenge, a currency used in Kazakhstan.
LAK This value is a 3-digit code for a Lao kip, a currency used in Laos.
LBP This value is a 3-digit code for a Lebanese pound, a currency used in Lebanon.
LKR This value is a 3-digit code for a Sri Lankan rupee, a currency used in Sri Lanka.
LRD This value is a 3-digit code for a Liberian dollar, a currency used in Liberia.
LSL This value is a 3-digit code for a Lesotho loti, a currency used in Lesotho.
LTL This value is a 3-digit code for a Lithuanian litas, a currency used in Lithuania.
LVL This value is a 3-digit code for a Latvian lats, a currency used in Latvia.
LYD This value is a 3-digit code for a Libyan dinar, a currency used in Libya.
MAD This value is a 3-digit code for a Moroccan dirham, a currency used in Morocco.
MDL This value is a 3-digit code for a Moldovan leu, a currency used in Moldova.
MGF This value is a 3-digit code for a Malagay franc, a currency previously used in Madagascar. This currency has been replaced by the Malagasy ariary (3-digit code: MGA).
MKD This value is a 3-digit code for a Macedonian denar, a currency used in Macedonia.
MMK This value is a 3-digit code for a Myanma kyat, a currency used in Myanmar.
MNT This value is a 3-digit code for a Mongolian tugrik, a currency used in Mongolia.
MOP This value is a 3-digit code for a Macanese pataca, a currency used in Macao.
MRO This value is a 3-digit code for a Mauritanian ouguiya, a currency used in Mauritania.
MTL This value is a 3-digit code for a Maltese lira, a currency previously used in Malta. This currency has been replaced by the Euro (3-digit code: EUR).
MUR This value is a 3-digit code for a Mauritian rupee, a currency used in Mauritius.
MVR This value is a 3-digit code for a Maldivian rufiyaaa, a currency used in the Maldives.
MWK This value is a 3-digit code for a Malawian kwacha, a currency used in Malawi.
MXN This value is a 3-digit code for a Mexican peso, a currency used in Mexico.
MXV This value is a 3-digit funds code for a Mexican peso, a currency used in Mexico.
MYR This value is a 3-digit code for a Malaysian Ringgit, a currency used in Malaysia. This is the value that should be passed in the Item.Currency field by the seller when listing an item on the eBay Malaysia site (Site ID 207).
MZM This value is an old 3-digit code for a Mozambican metical, a currency used in Mozambique. The 'MZM' code has been replaced by 'MZN'.
NAD This value is a 3-digit code for a Namibian dollar, a currency used in Namibia.
NGN This value is a 3-digit code for a Nigerian naira, a currency used in Nigeria.
NIO This value is a 3-digit code for a Nicaraguan cordoba, a currency used in Nicaragua.
NOK This value is a 3-digit code for a Norwegian kron, a currency used in Norway, Svalbard, Jan Mayen, Bouvet Island, Queen Maud Land, and Peter I Island.
NPR This value is a 3-digit code for a Nepalese rupee, a currency used in Nepal.
NZD This value is a 3-digit code for a New Zealand dollar, a currency used in the Cook Islands, New Zealand, Niue, Pitcairn, and Tokelau, Ross Dependency.
OMR This value is a 3-digit code for an Omani rial, a currency used in Oman.
PAB This value is a 3-digit code for a Panamanian balboa, a currency used in Panama.
PEN This value is a 3-digit code for a Peruvian nuevo sol, a currency used in Peru.
PGK This value is a 3-digit code for a Papua New Guinea kina, a currency used in Papua New Guinea.
PHP This value is a 3-digit code for a Philippine peso, a currency used in the Philippines. This is the value that should be passed in the Item.Currency field by the seller when listing an item on the eBay Philippines site (Site ID 211).
PKR This value is a 3-digit code for a Pakistani rupee, a currency used in Pakistan.
PLN This value is a 3-digit code for a Polish zloty, a currency used in Poland. This is the value that should be passed in the Item.Currency field by the seller when listing an item on the eBay Poland site (Site ID 212).
PYG This value is a 3-digit code for a Paraguayan guarani, a currency used in Paraguay.
QAR This value is a 3-digit code for a Qatari riyal, a currency used in Qatar.
ROL This value is a 3-digit code for the old Romanian leu, a currency previously used in Romania. This currency has been replaced by the Romanian new leu (3-digit code: RON).
RUB This value is a 3-digit code for a Russian rouble, a currency used in Russia, Abkhazia, and South Ossetia. This value replace the old 3-digit code for the Russian rouble, 'RUR'.
RUR This value is the old 3-digit code for a Russian rouble, a currency used in Russia. This value was replaced by the new 3-digit code for the Russian rouble, 'RUB'.
RWF This value is a 3-digit code for a Rwandan franc, a currency used in Rwanda.
SAR This value is a 3-digit code for a Saudi riyal, a currency used in Saudi Arabia.
SBD This value is a 3-digit code for a Solomon Islands dollar, a currency used in the Solomon Islands.
SCR This value is a 3-digit code for a Seychelles rupee, a currency used in Seychelles.
SDD This value is the 3-digit code for a Sudanese dinar, a currency previously used in Sudan. The Sudanese dinar was replaced by the Sudanese pound, which has a 3-digit code of 'SDG'.
SEK This value is a 3-digit code for a Swedish krona, a currency used in Swedn. This is the value that should be passed in the Item.Currency field by the seller when listing an item on the eBay Sweden site (Site ID 218).
SGD This value is a 3-digit code for a Singapore dollar, a currency used in Singapore and Brunei. This is the value that should be passed in the Item.Currency field by the seller when listing an item on the eBay Singapore site (Site ID 216).
SHP This value is a 3-digit code for a Saint Helena pound, a currency used in Saint Helena.
SIT This value is a 3-digit code for a Slovenian tolar, a currency previously used in Slovenia. This currency has been replaced by the Euro (3-digit code: EUR).
SKK This value is a 3-digit code for a Slovak koruna, a currency previously used in Slovakia. This currency has been replaced by the Euro (3-digit code: EUR).
SLL This value is a 3-digit code for a Sierra Leonean leone, a currency used in Sierra Leone.
SOS This value is a 3-digit code for a Somali shilling, a currency used in Somalia.
SRG This value is the 3-digit code for a Suriname guilder, a currency previously used in Suriname. The Surinam guilder was replaced by the Surinamese dollar, which has a 3-digit code of 'SRD'.
STD This value is a 3-digit code for a Sao Tome and Principe dobra, a currency used in Sao Tome and Principe.
SVC This value is a 3-digit code for a Salvadoran colon, a currency previously used in El Salvador. This currency has been replaced by the US Dollar (3-digit code: USD).
SYP This value is a 3-digit code for a Syrian pound, a currency used in Syria.
SZL This value is a 3-digit code for a Swazi lilangeni, a currency used in Swaziland.
THB This value is a 3-digit code for a Thai baht, a currency used in Thailand.
TJS This value is a 3-digit code for a Tajikistani somoni, a currency used in Tajikistan.
TMM This value is the old 3-digit code for a Turkmenistani manat, a currency used in Turkmenistan. This value was replaced by the new 3-digit code for the Turkmenistani manat, 'TMT'.
TND This value is a 3-digit code for a Tunisian dinar, a currency used in Tunisia.
TOP This value is a 3-digit code for a Tongan pa'anga, a currency used in Tonga.
TPE This value is a 3-digit code for a Portuguese Timorese escudo, a currency previously used in Portuguese Timor.
TRL This value is the old 3-digit code for a Turkish lira, a currency used in Turkey and Northern Cyprus. This value was replaced by the new 3-digit code for the Turkish lira, 'TRY'.
TTD This value is a 3-digit code for a Trinidad and Tobago dollar, a currency used in Trinidad and Tobago.
TWD This value is a 3-digit code for the New Taiwan dollar, a currency used in Taiwan.
TZS This value is a 3-digit code for a Tanzanian shilling, a currency used in Tanzania.
UAH This value is a 3-digit code for a Ukrainian hryvnia, a currency used in the Ukraine.
UGX This value is a 3-digit code for a Ugandan shilling, a currency used in Uganda.
USD This value is a 3-digit code for a US dollar, a currency used in the United States, America Samoa, Barbados, Bermuda, British Indian Ocean Territory, British Virgin Islands, Caribbean Netherlands, Ecuador, El Salvador, Guam, Haiti, Marshall Islands, Federated States of Micronesia, Northern Mariana Islands, Palau, Panama, Puerto Rico, Timor-Leste, Turks and Caicos Islands, US Virgin Islands, and Zimbabwe. This is the value that should be passed in the Item.Currency field by the seller when listing an item on the eBay US or US eBay Motors site (Site ID 0).
USN This value is a 3-digit code for a next-day transaction involving US dollars.
USS This value is a 3-digit code for a same-day transaction involving US dollars.
UYU This value is a 3-digit code for a Uruguayan peso, a currency used in Uruguay.
UZS This value is a 3-digit code for a Uzbekistan som, a currency used in the Uzbekistan.
VEB This value is a 3-digit code for a Venezuelan bolivar, a currency previously used in Venezuela. The Venezuela bolivar was replaced by the Venezuelan bolivar fuerte, which has a 3-digit code of 'VEF'.
VND This value is a 3-digit code for a Vietnamese dong, a currency used in Vietnam.
VUV This value is a 3-digit code for a Vanuatu vatu, a currency used in Vanuatu.
WST This value is a 3-digit code for a Samoan tala, a currency used in Samoa.
XAF This value is a 3-digit code for a Central African CFA franc, a currency used in Cameroon, Central African Republic, Republic of the Congo, Chad, Equatorial Guinea, and Gabon.
XCD This value is a 3-digit code for an Easy Caribbean dollar, a currency used in Anguilla, Antigua and Barbuda, Dominica, Grenada, Montserrat, Saint Kitts and Nevis, Saint Lucia, and Saint Vincent and the Grenadines.
XOF This value is a 3-digit code for a West African CFA franc, a currency used in Benin, Burkina Faso, Cote d'Ivoire, Guinea-Bissau, Mali, Niger, Senegal, and Togo.
XPF This value is a 3-digit code for a CFP franc, a currency used in French Polynesia, New Caledonia, and Wallis and Futuna.
YER This value is a 3-digit code for a Yemeni rial, a currency used in Yemen.
YUM This value is a 3-digit code for a Yugoslav dinar, a currency previously used in Yugoslavia. The Yugoslav dinar was replaced by the Serbian dinar, which has a 3- digit code of 'RSD'.
ZAR This value is a 3-digit code for a South African rand, a currency used in South Africa.
ZMK This value is the old 3-digit code for a Zambian kwacha, a currency used in Zambia. The 'ZMK' code has been replaced by 'ZMW'.
ZWD This value is the old 3-digit code for a Zimbabwean dollar, a currency previously used in Zimbabwe. The US dollar replaced the Zimbabwean dollar as the official currency in Zimbabwe.


This is being written in the Vendée, where the courgettes are growing so quickly that we have to pick them every day and even then the field is littered with discarded marrows that got away from us. The specification (35-50mm diameter) is the source of much mirth; my French is not up to much and I struggle to follow the field banter, but it seems to centre around the women having a more realistic estimate of size. When the courgettes are finished it is onto the bunched carrots; here the jokes are all about "carrottes amoureuses" where two roots have followed the same fissure down through the soil and become entwined. They are the happiest workforce I have ever known. The only other work around here is pulling the guts out of ducks at the local abattoir so perhaps it is not surprising that they seem so happy to be out in the fields.
I travelled down via London and the V&A where, amongst statues, jewels and porcelain, we collected the Observer Best Ethical Online Retailer award to add to the Best Ethical Business and Best Ethical Restaurant we won last year; most gratifying. Thanks to those of you who voted for us.
The yurt-housed Travelling Field Kitchen has been on the road for a month now, first in Hampshire and more recently at Freightliners City Farm in London. The food has been fantastic and the atmosphere harmonious and joyful. Logistically it is as difficult as getting a crusade to Jerusalem, but the contented hubbub of conversation from 80 well-fed diners reminds me why we embarked on this crazy project in the first place. At the end of July we take our yurt to WOMAD (23rd-25th July). As well as running a pared-down version of the restaurant in the mornings, we are sponsoring the Taste the World stage where, after performing on the main stages, musicians from all over the world come to cook, tell stories and play the occasional song to small and intimate audiences before sharing food with them. If, like me, you are a bit crowd phobic, with an eclectic taste in music, I cannot recommend WOMAD highly enough; it is a very civilised experience.


text:
package com.strobel.decompiler.languages.java.ast.transforms;

import com.strobel.assembler.metadata.TypeDefinition;
import com.strobel.assembler.metadata.TypeReference;
import com.strobel.decompiler.DecompilerContext;
import com.strobel.decompiler.languages.java.ast.AnonymousObjectCreationExpression;
import com.strobel.decompiler.languages.java.ast.AstNode;
import com.strobel.decompiler.languages.java.ast.ContextTrackingVisitor;
import com.strobel.decompiler.languages.java.ast.Keys;
import com.strobel.decompiler.languages.java.ast.LocalClassHelper;
import com.strobel.decompiler.languages.java.ast.ObjectCreationExpression;
import com.strobel.decompiler.languages.java.ast.TypeDeclaration;

import java.util.ArrayList;
import java.util.Collections;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;

public class RewriteLocalClassesTransform extends ContextTrackingVisitor<Void> {
    private final Map<TypeReference, TypeDeclaration> _localTypes = new LinkedHashMap<>();
    private final Map<TypeReference, List<ObjectCreationExpression>> _instantiations = new LinkedHashMap<>();

    public RewriteLocalClassesTransform(final DecompilerContext context) {
        super(context);
    }

    @Override
    public void run(final AstNode compilationUnit) {
        final PhaseOneVisitor phaseOneVisitor = new PhaseOneVisitor(context);

        compilationUnit.acceptVisitor(phaseOneVisitor, null);

        super.run(compilationUnit);

        for (final TypeReference localType : _localTypes.keySet()) {
            final TypeDeclaration declaration = _localTypes.get(localType);
            final List<ObjectCreationExpression> instantiations = _instantiations.get(localType);

            LocalClassHelper.replaceClosureMembers(
                context,
                declaration,
                instantiations != null ? instantiations : Collections.<ObjectCreationExpression>emptyList()
            );
        }
    }

    @Override
    public Void visitObjectCreationExpression(final ObjectCreationExpression node, final Void p) {
        super.visitObjectCreationExpression(node, p);

        final TypeReference type = node.getType().getUserData(Keys.TYPE_REFERENCE);
        final TypeDefinition resolvedType = type != null ? type.resolve() : null;

        if (resolvedType != null &&
            isLocalOrAnonymous(resolvedType) &&
            !resolvedType.isEquivalentTo(context.getCurrentType())) {

            List<ObjectCreationExpression> instantiations = _instantiations.get(type);

            if (instantiations == null) {
                _instantiations.put(type, instantiations = new ArrayList<>());
            }

            instantiations.add(node);
        }

        return null;
    }

    private static boolean isLocalOrAnonymous(final TypeDefinition type) {
        if (type == null) {
            return false;
        }
        return type.isLocalClass() || type.isAnonymous();
    }

    @Override
    public Void visitAnonymousObjectCreationExpression(final AnonymousObjectCreationExpression node, final Void p) {
        super.visitAnonymousObjectCreationExpression(node, p);

        final TypeDefinition resolvedType = node.getTypeDeclaration().getUserData(Keys.TYPE_DEFINITION);

        if (resolvedType != null && isLocalOrAnonymous(resolvedType)) {
            List<ObjectCreationExpression> instantiations = _instantiations.get(resolvedType);

            if (instantiations == null) {
                _instantiations.put(resolvedType, instantiations = new ArrayList<>());
            }

            instantiations.add(node);
        }

        return null;
    }

    private final class PhaseOneVisitor extends ContextTrackingVisitor<Void> {
        protected PhaseOneVisitor(final DecompilerContext context) {
            super(context);
        }

        @Override
        public Void visitTypeDeclaration(final TypeDeclaration typeDeclaration, final Void p) {
            final TypeDefinition type = typeDeclaration.getUserData(Keys.TYPE_DEFINITION);

            if (type != null && (isLocalOrAnonymous(type) || type.isAnonymous())) {
                _localTypes.put(type, typeDeclaration);
            }

            return super.visitTypeDeclaration(typeDeclaration, p);
        }
    }
}

redpajama_set_name: RedPajamaGithub


text:
Quantum turbulence generated by moving grids
Munday, Lydia (2014) Quantum turbulence generated by moving grids. PhD thesis, UNSPECIFIED.
PDF (2014LydiaMundayPhD)
2014LydiaMundayPhD.pdf - Accepted Version
We present experimental results on quantum grid turbulence produced by moving grids within superfluid 4He, both at millikelvin temperatures, with an oscillating grid, and at temperatures above 1.4 K with a linearly moving grid. Floppy devices were used at millikelvin temperatures to produce quantum turbulence. We investigated the frequency dependence of the turbulent drag on an oscillating grid. At high velocities, the turbulent drag is independent of frequency and similar to what was measured in liquid helium-4 in its normal phase. We also present measurements of the inertial drag coefficient for grid turbulence, which is significantly reduced by turbulence produced in both superfluid and normal fluid 4He. To produce (approximate) homogeneous and isotropic grid turbulence in a quantum liquid, with little to no extraneous heating in the fluid, a new linear 'control motor' has been designed and tested. The motor consists of a drive coil, surrounded by three control coils. A linear current ramp is passed through the drive coil, which lifts a superconducting armature placed in the centre of the solenoid. The control coils are designed, when a steady DC current is applied to them, to have constant magnetic field derivative. The control motor performs adequately, having smooth motions with no oscillations, and with peak velocities up to approximately 30 cm/s. The velocity is not, however, very uniform during the motion of the motor. Decaying turbulence is investigated using the attenuation of second sound. We produce turbulence inside a short channel totally submersedin liquid helium-II. The turbulence is produced by a superconducting, magnetically levitated linear motor, with a grid attached to the top of the armature. The theory applied, for calculating vortex line density decay from second sound attenuation, is taken from Stalp, S. (1998) Decay of Grid Turbulence in Superfluid Helium. Ph.D. Thesis. We investigate the effects of different grid meshes on the vorticity decay curve, in particular the time at which the turbulence becomes saturated. We present comparisons of three separate meshes. We observe a shorter saturation time, and therefore a longer inertial regime with a t−3/2 dependence, for the turbulent decay produced by the smallest mesh grid. It has been suggested elsewhere that there is a t−11/10 dependence at early times in the vorticity decay curves, we observe no such dependence. Finally, we present measurements of the effective kinematic viscosity, and saturation time and their dependence on grid mesh size.
Thesis (PhD)


The new Public Notification widget enables you to identify a collection of properties and create mailing labels, or a structured text file, for owners and occupants.
The new Cost Analysis widget (Beta) allows you to sketch a proposed design and get an estimated cost of the project.
The Filter widget provides options to zoom to the features automatically when the filter is applied, to turn on filters when the widget is opened, and for end users to build their own filter expressions.
Filter expressions now support relative dates such as today and in the last week. When Ask for value is checked, the default value can be blank.
The Infographic widget adds eight new templates such as donuts and stacked bars and now supports custom colors per value field when applicable.
The Add Data widget supports uploading local KML files.
Info Summary becomes an in-panel widget for better display on devices and in the Dashboard theme.
The Bookmark widget supports layers' visibility.
The Edit widget adds a new option to save all edits to attributes with one commit.
The Select widget adds new options to choose which layers to select and to make all layers selectable, de-selectable, or switch their select state.
The Swipe widget adds options to automatically zoom to the swipe layer and choose which layers to swipe.
The Geoprocessing widget supports using the current map extent as input and for turning off the visibility of the output layer on the map by default.
The Directions widget can be opened from the Open route button in the pop-up, where a route on the map is generated by the Plan Routes tool from the Analysis widget. Make sure the Include route layers box is checked when running the Plan Routes tool.
The output from the Print widget displays the local date and time of the user's location.
The Environment widget in 3D has been renamed the Daylight widget.
The hyperlinks added from the Attribute tab can be any protocol supported by the browser such as HTTP, HTTPS, MAILTO, and FTP.
The included Node.js has been upgraded to the latest LTS V8.9.3, and dependent modules are up to date.
What's new archive—A list of What's new from previous releases of the Developer Edition.


Features precision ground sear geometry combined with over travel and engagement adjustments in a nearly drop in kit to make a refined trigger.
I was deciding on CM triggers for a while but both Gen I and II from CM were recalled. I went with the JP. Extremely satisfied.
Having the prior experience, it was an easy swap. 20 min at the most. JP does include an instuctional DVD.
kit includes two light pull springs, and these work great by themselves. They take the pull from about 8+ lbs to 4-5 lbs and can be purchased seperately for about $15.
Two screws allow for less overall travel of the trigger and further lighten the pull to about 2.75 - 3 lbs. I couldn't adjust much lower than 3 lbs as the trigger then wouldn't function. There was a point where the front screw would not allow the trigger to move and the back screw would not release/catch the sear.
5+ Stars, 2 thumbs up.


Robot OTC Daihen FD-V50 with Schmalz vacuum handling gripper. Faster and of higher quality handling, without any marks on the workpiece.
Robotic handling system. Manipulator OTC Daihen All V133 with vacuum gripper, integrated to work together with two stamping machines, bonded sheet separation places, sheet-basing equipment.


text:
Expelled Student Calls|Yale's Sex Policy Bogus
June 10, 2016 CHRISTINE STUART
HARTFORD (CN) — A former Yale University basketball captain sued the school Thursday, claiming his "promising future crumbled into dust" when it expelled him for having "nonconsensual sex" with another student — though the school, not the woman, filed the complaint.
Jack Montague sued Yale and its top two Title IX officers, Angela Gleason and Jason Killheffer, in Federal Court. The woman, Jane Roe, is not a party to the lawsuit.
Montague does not deny that he had sex with Jane Roe.
He says in the complaint that "a year after the fact, the female student – who was affirmatively misled by the defendants into participating in a formal complaint process initiated by Yale and not by the student herself – claimed that just part of her encounter with Montague (the intercourse) was nonconsensual." (Parentheses in complaint.)
Shortly after they had sex, Montague says, Jane Roe called him, came back to his room, and spent the rest of the night in bed with him.
Nonetheless, "In the months that followed, Montague found himself thrust into the confusing, terrifying, and lonely process through which those accused of sexual misconduct are maneuvered, and into the midst of Yale's ongoing battle to establish itself as an institution that takes accusations of sexual misconduct seriously," he says in the lawsuit.
Montague claims that Yale singled him out because it was being criticized for not taking sexual assault accusations seriously enough, after an Office of Civil Rights investigation, and an Association of American Universities survey that found Yale had the third-highest rate of sexual assault among 27 colleges.
"As a consequence, the University had to show it was willing to take a hard line against male students accused of sexual assault in order to dispel the notion that Yale's campus was an unfriendly and unsafe environment for women," the complaint states.
Montague was expelled on Feb. 10 this year, in his final term before his expected spring graduation.
"Unfortunately for Montague, he was a prime candidate to serve as Yale's poster boy for tough enforcement of its Sexual Misconduct Policies: popular, well-liked and respected amongst his peers at Yale, and known throughout the country as one of Yale's most promising men's basketball stars. In short, imposing harsh discipline on Montague would surely make an impact," he says in the complaint.
Yale spokesman Tom Conroy said the allegations in the lawsuit are "factually inaccurate and legally baseless, and Yale will offer a vigorous defense."
Conroy said Montague was expelled after investigation of a formal complaint brought to the University-Wide Committee on Sexual Misconduct.
"Yale's procedures for addressing allegations of sexual misconduct are thorough and fair," Conroy said.
Such allegations are investigated by an impartial fact-finder, heard by five trained members of the Yale community, and decided by the dean of the school in which the accused student is enrolled, according Yale policy.
One out of five formal sexual misconduct hearings at Yale has ended without a finding against the accused, and in two out of five cases, the accused student has received a reprimand or probation, according to the university.
Only about one out of 10 cases has ended in expulsion. Conroy said the decision to expel a student is made only after careful consideration, based on facts, and when appropriate, on disciplinary history.
But according to Montague's 53-page complaint, his expulsion was the result of a "deeply flawed process," in which one of the deputy Title XI coordinators told Jane Roe that Montague had been the subject of a previous complaint. Montague's lawsuit says that complaint did not involve sex. He says he got drunk during his freshman year, was annoyed by a fellow student and rolled up a paper plate and shoved it down her shirt, for which he was disciplined.
According to the lawsuit, Roe told Montague that she didn't want to have intercourse on Oct. 18, 2014, but was interested in hooking up.
Montague says he got on top of Roe to engage in sexual intercourse. "Roe said that at that point she 'put her hands up, pressed them against the front of Mr. Montague's shoulders and pushed him, but not very forcefully," according to the complaint.
Roe returned to Montague's that night, but they did not have intercourse again, the complaint states.
"The panel's findings make clear that whatever Roe might have said to Montague about the limited of her consent prior to willingly accompanying him to his bedroom, and whatever she might have communicated about not wanting to 'have sex,' once she got to Montague's bedroom she clearly changed her mind," according to the complaint.
Nor was this the first time they'd had sex, Montague says. He says they had sexual intercourse on Sept. 24, 2014, less than a month before the incident in question.
Montague seeks reinstatement to Yale, expungement of his record and punitive damages for defamation, breach of contract, tortious interference with contract, privacy invasion and other violations.
He is represented by William Dow III with Jacobs and Dow in New Haven.
← Woman Sues for 'Inhuman|& Degrading' Border Search
FTC Calls SoCal Law Firms Shark Tanks →


We've just returned from the Qt Developer Days San Francisco conference last week and I wanted to share a brief report on some of the highlights of the show.
This was the tenth annual Qt Developer Days. The conference is traditionally held annually both in Europe and North America and this year the North American show was at the San Francisco Airport Marriott Waterfront.
As in Berlin, the attendance of the show was up over last year. Typically, the North American show has slightly lower attendance than the European show, as more Qt developers are located in Europe. The attendees in North America also tend to include more people that are new to Qt, and not just experienced Qt developers.
As usual, optional training days were offered before the conference. Two different three-day training courses were available this year, running Monday through Wednesday, and seven one-day courses were given on Wednesday.
The conference proper started on Thursday, beginning with the keynote addresses and followed by the technical presentations. Almost 50 technical presentations were given in 12 different technical tracks. Some of the talks were the same as at the Berlin show, while others were different. As always, the technical talks were excellent and covered a wide range of topics. The most popular talk, "Qt Quick and Input Events" by Frederik Gladhorn, was repeated again on Friday afternoon for people who may have missed it.
As in Berlin, we ran over twenty lightning talks. These were short ten-minute talks, with five talks in each of four, one-hour time slots. Covering a topic in ten minutes was indeed challenging and most of the speakers successfully pulled it off.
There was large trade show floor. ICS was demonstrating our touchscreen kiosk application on different platforms ranging from a huge 54-inch touchscreen to a Raspberry Pi, running on different operating systems including Linux, Windows 8, and Android. We also showed some of our UX capabilities in a separate UX booth, as well as an OpenGL demo. There was good traffic through the booths every day of the show.
The Qt in Use booth highlighted a number of vendor's products. The hit of the show was the Qt-powered Beam Remote Presence System from Suitable Technologies. Better known as the "Sheldon Bot", it was seen walking the halls of the conference talking to attendees.
ICS had about thirty staff at the show. Whether operating the booth or monitoring the technical talks, we were all very visible in our purple ICS shirts. ICS staff gave several presentations and lightning talks, which were well received.
The evening event on Thursday was dinner at the nearly El Torito restaurant. After great Mexican food and some drinks, many of the attendees let their hair down and sang some karaoke songs.
The show wrapped up on Friday evening with giveaways and prizes for the best lightning talk in each session. In all, it was a great show. Many people at ICS have spent long hours over the last year putting the show together, and it won't be long before preparations start for next year's show.
More photos and videos of the keynotes will be available in the next couple of weeks. PDF versions of many of the presentations are now available from the schedule page.


text:
Blackrock: World's largest investor flags up climate risk
Letter from CEO Larry Fink says $4.6 trillion asset manager will support activist shareholders focused on 'long-term value creation'
(Pic: Credit Suisse/Flickr)
By Ed King
The chief executive of the world's largest investor, Blackrock, is calling time on companies that ignore long term risks like climate change.
In a letter to the heads of S&P 500 companies and top European corporations, Larry Fink expressed concern at the lack of focus on environmental and social risks in boardrooms.
"For too long, companies have not considered them core to their business – even when the world's political leaders are increasingly focused on them, as demonstrated by the Paris Climate Accord.
"Over the long-term, environmental, social and governance (ESG) issues – ranging from climate change to diversity to board effectiveness – have real and quantifiable financial impacts."
Blackrock has an estimated $4.6 trillion assets under management, with its World Energy Fund holding shares in ExxonMobil, Shell, Chevron, BP and ConocoPhillips.
Report: Oil majors vague on climate plans post Paris deal
Report: Blackrock partners with Climate Bonds Initiative
Shareholders have already challenged the boards of Shell and BP to acknowledge the risks tougher climate policies pose to their investments.
Both companies have agreed to publish analysis on how greenhouse gas targets impact their strategy, while pressure is mounting on ExxonMobil from US shareholders to do the same.
This week the company's lawyers signalled it wanted to exclude a 'climate justice proposal' from a 25 May annual general meeting, branding the initiative "vague".
Last year Bank of England governor Mark Carney said huge amounts of coal, oil and gas could be left "virtually unburnable" by new rules to curb global warming.
Fink indicated Blackrock would be supportive of future moves to encourage more focus on long term strategies. Many companies had not "educated" investors of the threats to their business model, he said.
"Those activists who focus on long-term value creation sometimes do offer better strategies than management.
"In those cases, Blackrock's corporate governance team will support activist plans. During the 2015 proxy season, in the 18 largest US proxy contests (as measured by market cap), Blackrock voted with activists 39% of the time."
Seb Beloe, a partner at London-based asset managers WHEB said the comments were "significant and important" given Blackrock's status.
"I hope that it give the impetus to CEOs who know that this is a sensible course of action but have not done so because they have been looking over their shoulder at their investors," he said.
"Now one of their biggest investors is telling them to stop quarterly guidance and focus on long-term strategic issues – let's hope this is the nudge that they needed."
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