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DxO recently announced that they will be releasing a new version of the Nik Collection of filters in 2018.

I have written articles about the Nik Collection of filters a couple of times now; once to let you all know that Google was giving them away free and the second time to let you know that DxO had bought them from Google. The latter of these two articles was the one that I consider to be the most exciting news.

I predicted that the purchase of the Nik Collection by DxO could only be beneficial for the filters and therefore beneficial for all us loyal photographers. You see, when Google acquired them and dropped the price and ultimately gave them away free of charge, I worried that Google had no intention of ever developing the filter set. Unfortunately, I was right. It appears that Google only bought Nik to get their hands on Snapseed. Now don’t get me wrong, I do think that Google has done a wonderful job of developing Snapseed but unfortunately, it was at the expense of the Nik Collection of filters.

Anyway, let’s not linger on the past. At the end of 2017, DxO bought the Nik Collection of filters from Google and I was one very happy photographer. I have used DxO software and I know how much research and development the French-based company pour into photography software. I was therefore in no doubt that they would develop the filters and make a damn good job of them too. Well, we will soon be able to find out if they do make a good job of them.

DxO released a statement on 22 December 2017, stating that they were actively developing the Nik collection and will be releasing an update in spring of 2018. I can’t wait!

Dear Nik Collection users,
We at DxO are very pleased to welcome the Nik community!
We wish you a very happy holiday season and a healthy and prosperous New Year: may you be inspired to take spectacular photos in 2018!

Like you, we are passionate about photography and image quality. That’s why we view this opportunity with Nik as a commitment to ensure that you — that all of us who enjoy taking photos — are guaranteed to have the very best solutions at our disposal.
You’ll be happy to know that our developers are enthusiastically working on a new version of the Nik Collection to be released in 2018!

Do you miss U Point technology?
For those of you who already want to take advantage of Nik’s wonderful U Point technology for your RAW and JPEG file processing, please take a look at DxO PhotoLab (formerly DxO OpticsPro), our acclaimed photo editing solution.
You can sign up for a free 30-day trial, or enjoy a very special price (25% off) through December 25th: http://dxo.io/2y3qD11

Stay tuned!
The DxO Team

My only concern about this is the cost. I doubt very much that DxO will offer these filters free but I do consider this filter collection to be the best that has ever been produced. If the cost is reasonable, I for one will definitely be updating.

I’ll keep you posted. Please let me know if you use these filters and what your opinion on them is.


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Watford vs Liverpool: Confirmed Line-Ups From Vicarage Road

We are back from the breaks and Liverpool will be going head to head with Watford this afternoon at the Vicarage Road and the Reds will be wanting a win to keep close on March City.

Liverpool Boss Jurgen Klopp has released his starting line up and he starts Virgil Van Dijk alongside Dejan Lovren in the middle defence position as Joe Gomez will be absent due to a minor ankle injury.

At the right back position he starts Trent Alexander-Arnold once again while at the left back position Andrew Robertson keeps his position.

In midfield position Jordan Henderson returns alongside Georginio Wijnaldum while Xherdan Shaqiri gets the nod with Naby Keita, Fabinho and James Milner at the sidelines.

Jurgen Klopp starts hus strongest forward side as Sadio Mane and Mohammed Salah support Roberto Firmino which leaves Daniel Sturridge on the bench for this fixture.

These are the Starting line-ups:

Foster; Kiko Femenía, Mariappa, Cathcart, Masina; Hughes, Doucouré, Capoue, Pereyra; Deulofeu, Deeney.

Subs: Gomes, Success, Chalobah, Gray, Quina, Navarro, Kabasele

Alisson, Robertson, Van Dijk, Lovren, Alexander-Arnold, Wijnaldum, Henderson, Shaqiri, Firmino, Mane, Salah.

Subs: Mignolet, Clyne, Fabinho, Milner, Keita, Sturridge, Matip

Author Since: Aug 04, 2018

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Festival ShuttleAlle Themen

The Full Force Festival Shuttle runs between our camping sites and the festival grounds nonstop. If you don’t fancy a walk, you need a €5 voucher to ride our buses, available via our ticket shop and on location.

Our buses are city buses which run between the festival grounds and the camping sites until the last act leaves the stage on Sunday morning at 4am.

We’ll post our bus schedule a few weeks prior to the festival right here.


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5 Key Takeaways on the Road to Dominating Tips

June 13, 2018

Comments Off on 5 Key Takeaways on the Road to Dominating Tips

Tips on Online Gambling to Beginners

Important about online gambling is that it is popularity is on the rise from to time to extent that most people are doing it.The following guideline is essential when it comes to gambling online. As a beginner of gambling there are many questions that you are likely to ask yourself.Important about a gambling is, it is recognized by law.You stand to have regulations which are not same in all countries. With use of different sources, you will stand to know laws that your country applies.Knowledge about laws that deal with gambling will help will to have online gambling to be good.

The other information that is important about gambling is that it is a safe activity to undertake.Despite these you need to realize that there are sites that are meant to exploit you when you bet.This will therefore require to take care so that not to fall into exploitation that will see you lose a lot of money.By using online reviews, you will know if a site is suitable or not.A reputable site will serve to ensure that you do not get into exploitation of some sites.With reviews that are done online ,you will know sites that are good, for example, that which offers bonuses.With gains that are obtained from online gambling ,you will have most people enticed to do it.There has been advancement in online gambling as time has progressed.You will have online by considering a below games.

You will have online gambling made possible through slots.When you are a beginner in gambling, you need to be careful in selecting which games to gamble.Important to note is that slots is a game that can be gamble online.With the help of gambling online on slot games ,you will have benefits that are many.Slot game has been experiencing a lot of changes from matching of numbers to entertainment extravaganzas.You will have plenty of interactions as well as videos as your extravaganzas.This serves to make your gambling to be good.

So that to have your online gambling, you need to choose table games.The experience of online gambling is that you feel to be good it practically at a casino despite physically you are home.By the fact that technology has evolved, it means we have many online games run by many dealers.You stand to have online gambling with many people from any part of the nation of with advanced technology.With dealer gamble, it will be simple to see dealer tackle cards in a table. You can chat with player as well as a dealer of these games.

By considering jackpots, you will have it easy to gamble online in the right way.With jackpots, you will easily become a millionaire when you gamble online.


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Making AI Safe in an Unpredictable World: An Interview with Thomas G. Dietterich

Our AI systems work remarkably well in closed worlds. That’s because these environments contain a set number of variables, making the worlds perfectly known and perfectly predictable. In these micro environments, machines only encounter objects that are familiar to them. As a result, they always know how they should act and respond. Unfortunately, these same systems quickly become confused when they are deployed in the real world, as many objects aren’t familiar to them. This is a bit of a problem because, when an AI system becomes confused, the results can be deadly.

Consider, for example, a self-driving car that encounters a novel object. Should it speed up, or should it slow down? Or consider an autonomous weapon system that sees an anomaly. Should it attack, or should it power down? Each of these examples involve life-and-death decisions, and they reveal why, if we are to deploy advanced AI systems in real world environments, we must be confident that they will behave correctly when they encounter unfamiliar objects.

Thomas G. Dietterich, Emeritus Professor of Computer Science at Oregon State University, explains that solving this identification problem begins with ensuring that our AI systems aren’t too confident — that they recognize when they encounter a foreign object and don’t misidentify it as something that they are acquainted with. To achieve this, Dietterich asserts that we must move away from (or, at least, greatly modify) the discriminative training methods that currently dominate AI research.

However, to do that, we must first address the “open category problem.”

Understanding the Open Category Problem

When driving down the road, we can encounter a near infinite number of anomalies. Perhaps a violent storm will arise, and hail will start to fall. Perhaps our vision will become impeded by smoke or excessive fog. Although these encounters may be unexpected, the human brain is able to easily analyze new information and decide on the appropriate course of action — we will recognize a newspaper drifting across the road and, instead of abruptly slamming on the breaks, continue on our way.

Because of the way that they are programmed, our computer systems aren’t able to do the same.

“The way we use machine learning to create AI systems and software these days generally uses something called ‘discriminative training,’” Dietterich explains, “which implicitly assumes that the world consists of only, say, a thousand different kinds of objects.” This means that, if a machine encounters a novel object, it will assume that it must be one of the thousand things that it was trained on. As a result, such systems misclassify all foreign objects.

This is the “open category problem” that Dietterich and his team are attempting to solve. Specifically, they are trying to ensure that our machines don’t assume that they have encountered every possible object, but are, instead, able to reliably detect — and ultimately respond to — new categories of alien objects.

Dietterich notes that, from a practical standpoint, this means creating an anomaly detection algorithm that assigns an anomaly score to each object detected by the AI system. That score must be compared against a set threshold and, if the anomaly score exceeds the threshold, the system will need to raise an alarm. Dietterich states that, in response to this alarm, the AI system should take a pre-determined safety action. For example, a self-driving car that detects an anomaly might slow down and pull off to the side of the road.

Creating a Theoretical Guarantee of Safety

There are two challenges to making this method work. First, Dietterich asserts that we need good anomaly detection algorithms. Previously, in order to determine what algorithms work well, the team compared the performance of eight state-of-the-art anomaly detection algorithms on a large collection of benchmark problems.

The second challenge is to set the alarm threshold so that the AI system is guaranteed to detect a desired fraction of the alien objects, such as 99%. Dietterich says that formulating a reliable setting for this threshold is one of the most challenging research problems because there are, potentially, infinite kinds of alien objects. “The problem is that we can’t have labeled training data for all of the aliens. If we had such data, we would simply train the discriminative classifier on that labeled data,” Dietterich says.

To circumvent this labeling issue, the team assumes that the discriminative classifier has access to a representative sample of “query objects” that reflect the larger statistical population. Such a sample could, for example, be obtained by collecting data from cars driving on highways around the world. This sample will include some fraction of unknown objects, and the remaining objects belong to known object categories.

Notably, the data in the sample is not labeled. Instead, the AI system is given an estimate of the fraction of aliens in the sample. And by combining the information in the sample with the labeled training data that was employed to train the discriminative classifier, the team’s new algorithm can choose a good alarm threshold. If the estimated fraction of aliens is known to be an over-estimate of the true fraction, then the chosen threshold is guaranteed to detect the target percentage of aliens (i.e. 99%).

Ultimately, the above is the first method that can give a theoretical guarantee of safety for detecting alien objects, and a paper reporting the results was presented at ICML 2018. “We are able to guarantee, with high probability, that we can find 99% all of these new objects,” Dietterich says.

In the next stage of their research, Dietterich and his team plan to begin testing their algorithm in a more complex setting. Thus far, they’ve been looking primarily at classification, where the system looks at an image and classifies it. Next, they plan to move to controlling an agent, like a robot of self-driving car. “At each point in time, in order to decide what action to choose, our system will do a ‘look ahead search’ based on a learned model of the behavior of the agent and its environment. If the look ahead arrives at a state that is rated as ‘alien’ by our method, then this indicates that the agent is about to enter a part of the state space where it is not competent to choose correct actions,” Dietterich says. In response, as previously mentioned, the agent should execute a series of safety actions and request human assistance.

But what does this safety action actually consist of?

Responding to Aliens

Dietterich notes that, once something is identified as an anomaly and the alarm is sounded, the nature of this fall back system will depend on the machine in question, like whether the AI system is in a self-driving car or autonomous weapon.

To explain how these secondary systems operate, Dietterich turns to self-driving cars. “In the Google car, if the computers lose power, then there’s a backup system that automatically slows the car down and pulls it over to the side of the road.” However, Dietterich clarifies that stopping isn’t always the best course of action. One may assume that a car should come to a halt if an unidentified object crosses its path; however, if the unidentified object happens to be a blanket of snow on a particularly icy day, hitting the breaks gets more complicated. The system would need to factor in the icy roads, any cars that may be driving behind, and whether these cars can break in time to avoid a rear end collision.

But if we can’t predict every eventuality, how can we expect to program an AI system so that it behaves correctly and in a way that is safe?

Unfortunately, there’s no easy answer; however, Dietterich clarifies that there are some general best practices; “There’s no universal solution to the safety problem, but obviously there are some actions that are safer than others. Generally speaking, removing energy from the system is a good idea,” he says. Ultimately, Dietterich asserts that all the work related to programming safe AI really boils down to determining how we want our machines to behave under specific scenarios, and he argues that we need to rearticulate how we characterize this problem, and focus on accounting for all the factors, if we are to develop a sound approach.

Dietterich notes that “when we look at these problems, they tend to get lumped under a classification of ‘ethical decision making,’ but what they really are is problems that are incredibly complex. They depend tremendously on the context in which they are operating, the human beings, the other innovations, the other automated systems, and so on. The challenge is correctly describing how we want the system to behave and then ensuring that our implementations actually comply with those requirements.” And he concludes, “the big risk in the future of AI is the same as the big risk in any software system, which is that we build the wrong system, and so it does the wrong thing. Arthur C Clark in 2001: A Space Odyssey had it exactly right. The Hal 9000 didn’t ‘go rogue;’ it was just doing what it had been programmed to do.”

This article is part of a Future of Life series on the AI safety research grants, which were funded by generous donations from Elon Musk and the Open Philanthropy Project.


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Hard Science

Evolutionary Geneticists Spot Natural Selection Happening Now in People

Natural selection is more difficult to study in humans because we live so long.

The ConversationSeptember 23rd 2017

Human evolution can seem like a phenomenon of the distant past which applies only to our ancestors living millions of years ago. But human evolution is ongoing. To evolve simply means that mutations — the accidental changes to genes that happen normally in the process of copying DNA — are becoming more or less common in the population over time.

These changes can happen by chance, because the individuals who reproduced happened to carry a particular mutation somewhat more often than individuals who didn’t have children. They can also happen because of natural selection, when carriers of a specific mutation are better able to survive, reproduce, or tend to their family members — and therefore leave more descendants. Every biological adaptation, from the ability of humans to walk upright on two feet to flight in birds, ultimately traces back to natural selection acting on these minute changes, generation after generation.

So humans are definitely still evolving. The question is whether we are still adapting: are individuals who carry harmful mutations living less long, reproducing less — ultimately leaving fewer descendants? For instance, terrible eyesight may have been a major survival disadvantage living on the savanna, but with glasses and laser surgery, it’s unlikely to prevent people from living a long life today. How commonly then are mutations under selection in contemporary humans?

Long Time Scale Makes Evolution Hard to Study

Because adaptations involve tiny changes in the frequencies of mutations from generation to generation and their fortune plays out over tens to hundreds of thousands of years, they are incredibly hard to study directly — at least in long-lived organisms such as people.

So while there is overwhelming evidence for human evolution and unequivocal footprints of adaptation in the genome, rarely have scientists been able to directly observe natural selection operating in people. As a result, biologists still understand very little about the workings of natural selection in humans.

Indeed, one of the clearest footprints of a past adaptation in the human genome involves a mutation that permits milk to be digested in adulthood. This mutation in the lactase gene rapidly rose in frequency with the rise of dairy farming thousands of years ago, independently in multiple populations. It’s the reason some people can drink milk as adults, whereas most remain lactose intolerant.

But even in this well-studied case, let alone for the rest of the genome, researchers don’t know whether the mutation was beneficial for survival or for reproduction; whether the benefits were the same for both sexes, or across all ages; or whether the benefit depended on the environment (for instance, availability of other food sources). As pointed out by evolutionary biologist Richard Lewontin in the 1960s, to learn these properties of natural selection would require a massive study, in which genetic and genealogical information is obtained for hundreds of thousands of people.

Fifty years later, our group realized that this thought experiment is starting to become feasible. We sought large biomedical data sets that would let us learn about mutations that affect survival.

Looking at Gene Frequency Across Age Groups

Our basic idea was that mutations that lower the chance of survival should be present at lower frequency in older individuals. For example, if a mutation becomes harmful at the age of 60 years, people who carry it have a lower chance to survive past 60 — and the mutation should be less common among those who live longer than that.

We therefore looked for mutations that change in frequency with age among around 60,000 individuals from California (part of the GERA cohort) and around 150,000 from the U.K. Biobank. To avoid the complication that people whose ancestors lived in different places carry a somewhat different set of mutations, we focused on the largest group with shared ancestry within each study.

Across the genome, we found two variants that endanger survival. The first is a variant of the APOE gene, which is a well-known risk factor for Alzheimer’s disease. It drops in frequency beyond age 70. The second harmful variant we found is a mutation in the CHRNA3 gene. Associated with heavy smoking, this inherited mutation starts to decrease in frequency at middle age in men, because carriers of this mutation are less likely to survive longer.

People who carry a variant of the APOE gene die at a higher rate and are less common among the old age categories. Image Credit: Mostafavi et al, PLOS Biology, CC BY

Both deleterious variants only had an effect long after the typical ages of reproduction for both females and males. Biologists usually consider such mutations to not be under selection. After all, by late middle age, most people have already passed their genes on to whatever offspring they’ll have, so it seems like it might not matter how long they live beyond that point.

Why then would we only find two, when our study was large enough to detect any such variant, if common in the population? One possibility is that mutations that only imperil survival so late in life almost never arise. While that is possible, the genome is a large place, so that seems unlikely.

The other intriguing possibility is that natural selection prevents even late-acting variants from becoming common in the population by natural selection, if they have large enough effects. Why might that be? For one, men can father children in old age. Even if only a tiny fraction of them do so, it may be enough of an evolutionary fitness cost for selection to act on. Survival beyond the age of reproduction could also be beneficial for the survival of related individuals who carry the same mutations, most directly children. In other words, surviving past typical reproductive ages may be beneficial for humans after all.

Smokers who carry a mutation in the CHRNA3 gene tend to smoke more cigarettes per day and so are more exposed to harmful effects of smoking. Image Credit: NeONBRAND on Unsplash, CC BY

Your Mutations do Influence Your Survival

In addition to examining one mutation at a time, we were also interested in considering sets of mutations that have all been shown to influence the same trait, and might have very subtle effects on survival individually. For example, researchers have identified approximately 700 common mutations that influence height, each contributing only millimeters. To this end, we considered tens to hundreds of mutations that shape variation in one of 42 traits.

We found genetic mutations linked to a number of diseases and metabolic traits that decrease survival rates: individuals who are genetically predisposed to have higher total cholesterol, LDL cholesterol, risk of heart disease, BMI, risk of asthma, or lower HDL cholesterol tend to die younger than others.

Perhaps more surprisingly, we discovered that people who carry mutations that delay puberty or the age at which they have their first child tend to live longer. It was known from epidemiological studies that early puberty is associated with adverse effects later in life such as cancer and obesity. Our results indicate some of that effect is probably due to heritable factors.

So humans carry common mutations that affect their survival and natural selection appears to act on at least a subset, in some contemporary environments. But what is bad in one context may well not be in another; as one example, the CHRNA3 variant has an effect because people smoke. These are early days, however, and our findings offer only a first glimpse of what can soon be gleaned from millions of genomes, in combination with genealogical records. In future work, it will be important to study not only lifespan, but also the number of children and grandchildren individuals leave, as well as populations and environments worldwide.

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Mitsubishi e-Yi Concept SUV Unveiled Ahead Of Shanghai Debut With 700 Km Range

Mitsubishi e-Yi Concept is powered by a 2.4 L petrol engine developed for PHEV and the pure EV range is 70 km

Mitsubishi officially revealed e-Yi Concept PHEV SUV Concept at the Shanghai auto show. The e-Yi Concept is basically the Engelberg Tourer Concept showcased at the Geneva Motor Show. The production model is expected to be introduced in the next decade. The SUV gets the new dynamic shield front design, which gives a muscular look for the concept.

The dual headlamps set up in which the LED light is placed on top and the headlamps positioned below it also LED. The front grille is finished in black along with a new bumper design, which an aggressive look, while the company has also given high ground clearance and silver, finished skid plates. The concept gets big alloy wheels also.

The A-pillar and the roof is finished in black colour. The conventional mirrors have been replaced by small camera’s on either side, which project the information in the door. The rear gets LED tail lamps and the rear windscreen has a wrap-around design with an integrated spoiler. Most of these design cues are expected to be carried over to the production version.

When the vehicle is charged, the LED light inside the front chrome finished grille become blue. The interior also gets a modern design theme as the e-Yi Concept gets two 12.3 inch screens as one will be used for the instrument cluster and the second screen in the middle will be for the infotainment system.

The concept s powered by a new 2.4 L petrol engine and it is designed especially for the PHEV. The engine is used as a generator for the electric motor as it achieves a high regeneration rate. The thermal efficiency of the new engine is really good, which will contribute to excellent efficiency.

The EV range of the concept SUV is 70 km. The full tank of petrol along with fully charged battery will give a range of around 700 km, which is excellent considering the size. The power is sent to all four wheels and the SUV uses Active Yaw Control (AYC) to split torque between the wheels and the e-Yi Concept is packed with advanced driver assistance features also.


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Mini-Inktober 2018

Look at me, tryina blog again.

I never really participate in Inktober because I don’t need that kind of pressure in my life. One drawing per day? For a month?? Really??? I did sort of stumble into doing a mini-digital-inktober when I drew Dream and Death. I mean, might as well draw all the siblings, right?

When I started these, I’d intended for this to be a series of quick portraits using no line art, on one layer. It worked well enough for Dream, but I started cheating with the rest of the siblings with more defined lines and multiple layers.

I hadn’t drawn in black and grey in a long time. The last time was probably my live drawing classes in college, where we had to use either graphite or charcoal. It took a little getting used to working with tone and contrast again, but it was a good exercise overall.

Sandman was such a pivotal piece of my late teens. My high school art teacher lent me Brief Lives (and the rest of his Sandman trades and Neil Gaiman collection soon after), and it validated so much of myself that I hadn’t yet come to terms with because of a very religious, Christian upbringing.

I re-read Sandman every couple of years or so, and every time, I still find something that speaks to me in new ways.


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The game industry unveiled its best and brightest prospects this week at E3. While everything on display was impressive, with some titles blowing fans away, gamers are more than cautious about hype. With downgrading and overhype defining the current generation of consoles, it is assumed that the shine and polish of the E3 demos is not indicative of the final release. Here’s five of the most breathtaking new features from E3, that probably won’t be this good in the final release.

Starting with an easy one, this applies to pretty much every game. The main complaint that has broken the optimistic spirit of this time of the year is graphical downgrading. With games like Metro: Exodus, Bioware’s Anthem, Gears of War 5, Cyberpunk 2077, Forza Horizon 4, Death Stranding and a brand new Halo, on a new engine, all looking like the best games these consoles have to offer, players should lull their expectations. As the community saw with games like Watchdogs, The Witcher 3 and Aliens: Colonial Marines, which was so heavily downgraded it was sued for false advertising, what is presented at E3 isn’t the best indication of the release graphics. In the cases where the graphics do meet the standard set at E3, there have also been cases where the performance takes a backseat.

Metro Exodus. Source: Deep Silver

The Last of Us Part II – Animations

The most impressive feature of The Last of Us Part II’s demo was the seamless transition between animations. Whether it was Ellie dodging towards a wall and slamming into it or an enemy swinging and knocking a shelf down by accident, every interaction between the moving characters and the world was organic and flawless. While this has always been a standout trait in NaughtyDog games, the jump from Uncharted 4 is so massive that it’s easy to be skeptical of the E3 demo. The animation to pick up arrows, for example, is completely different depending on the speed Ellie is moving and what she is looting, either a body or a quiver. It’s amazing, a little too amazing.

Source: NaughtyDog

Fallout 76 – Story

From the trailers and announcements, the multiplayer-only Fallout 76 follows a quest to explore the unexplored West Virginian wasteland. However, don’t expect a typical Fallout narrative focus or story. The focus on multiplayer means that it is the stories that players craft with friends that really makes the game. While this isn’t necessarily a bad thing, this isn’t what the Fallout series is built on. The whimsical charm of Fallout might still be there, but Bethesda are planning on having no NPCs outside of Robots, which means the whimsical characters that define Fallout is missing. The “overseer’s quest” will take you through six distinct regions, but the stories of these regions is for you to discover, not for you to forge like in the single-player RPG style games that precede 76.

Source: Bethesda

Ghost of Tsushima – Effects

One of the biggest surprises this E3 was Sony’s Ghost of Tsushima. The gorgeous graphics were one thing, but what was absolutely breathtaking was the lighting and particle effects. The way the sun cut through the trees to shine and illuminate the mud puddles in the battleground, with soft pedals blowing down in the wind, was stunning. However, this is a console game and considering the textures, environments and character models alone are at such a high standard it’s hard to believe that these effects and these graphics will run together. Something’s gotta give and as gamers saw with The Witcher 3’s E3 downgrade, it’s normally the glossy and unnecessary effects.

Source: Sucker Punch

Super Mario Party – Switch Mapping

One of the features Super Mario Party highlights immediately in its trailer is for multiple Switch consoles to connect and literally map out minigames. While there’s no doubt this will be in the game, the significance that the trailer gives it won’t be. At best, this will be a fun gimmick, but at worst this could be a shoehorned feature that’s so forced it detriments the game. Mario Party is a standout party game, and the idea that Nintendo fans will want to play this portably goes against the reason the game is fun. It’s coach co-op at its best and as such the Switch mapping feature won’t really matter like it does in the trailer.

Source: Nintendo

Pokemon: Let’s Go – Poke Ball Plus

A few weeks ago, Gamers Classified wrote a list titled “5 Pokemon game peripherals that never get used“. It was inspired specifically by the announcement of the Poke Ball Plus. While at E3 Nintendo confirmed the Poke Ball Plus will come exclusively with Mew inside, this doesn’t change the fact that the bulkier and less intuitive version of the PokeWalker will be just another Poke dust collector. Its functionality in the game is as another joycon, which every Switch owner already has two of, and way to make the game more portable, which every Switch is capable of doing. Good try Reggie, but no-one is sold on this one.


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Fun, Practical Ideas to Support ESOL Students Learning

Professional development (PD) Auckland

Posted: 15 March 2019
Notice reference #: 1H9sFS

Fun, practical ideas to support ESOL students learning in an inclusive classroom with Julie McDougall

This half-day workshop will provide teachers with culturally responsive, effective, fun and practical ideas to generate language and build vocabulary for children who come from backgrounds where languages other than English are spoken.

Through the use of a variety of everyday resources such as magazines, newspaper articles, mailers, food experiences, kiwiana activities, versatile templates, oral and listening tasks and games, teachers will be able to provide students with a variety of opportunities to learn English in an inclusive classroom environment.

Activities will acknowledge students' own cultural identity and foster development of both the social and academic skills of communication within a New Zealand context. Participants will explore some of the cultural components in text that hinder/facilitate meaning and look at the complexities of English language and vocabulary development.

At the completion of this course participants will:

  • Have participated in practical activities that scaffold oral, visual, written and reading learning of English
  • Understand some of the complexities of English language and vocabulary development
  • Develop increased knowledge of immersion experiences in English-medium classrooms.

Enrol here

Events summary

23 May 2019 – 23 May 2019

Further information

Contact: Kohia Centre

 (09) 623 9877


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Nitrotracker updated

Discussion in 'NDS - ROM Hacking and Translations' started by FAST6191, Jan 6, 2007.

  1. FAST6191

    FAST6191 Techromancer

    pip Reporter
    Nov 21, 2005
    United Kingdom
    Nitrotracker (a music making app/tracker) has been updated for the first time in a while, download: thanks to cornaljoe for alerting me to this one

    The biggest bit of news is that it uses DLDI (Dynamically Linked Device Interface) now and for those not knowing what DLDI is here is a quick rundown:
    Originally when DS homebrew first appeared people stuck with using file systems created to contain stuff for GBA (many of you will have heard of GBFS ( ) or moonshells imfs).
    Eventually it was found that you could read data right off the card, naturally every card decided to be different and not work with each others access routines.
    As card access is fairly low level programming libraries were made so as to delegate cart reading to the libraries, the eponymous gba_nds_fat by Chism (now superseded by libfat) probably being the most renowned of the lot (there are other libraries and the DSlinux project uses their own).
    Naturally not every card had access routines and sources necessary and well as the ability to play nice with other cards meaning they were not supported in the libraries and consequently homebrew that uses it.
    This caused a lot of headaches on the card owners end, card reviewers end, forum viewers end, app programmers end (see all the versions of DSOrganise around) as things would have to be recompiled with new libraries (something end users are loathe to do) and it was all a mess.

    Now Moonshell uses the method of having a windows installer which the user makes into a useable file for their flashcart and very recently chism added similar fuctionality to his libraries (a new version of gba_nds_fat was also made despite being an discontinued project) meaning that any app made using the new libraries has some blank space added will merely have to be patched on the users end to support their cart.
    There are already versions of moonshell, DSdoom and a couple of other apps using DLDI going around and this is just one of them.
    Patchers (all three major OS') and libraries required (see GBAdev and your carts support forum for prototype library discussion and downloads if one does not exist on the link below)

    Features, changelog etc:

    * DSMIDIWiFi support
    * The song restart position can now be set.
    * WAV preview in the file selector
    * Pause/Resume
    * Pattern looping
    * Reboot DS (press Start+Select)

    * Some nice icons :-)
    * Shrinking the pattern cannot destroy data any more. If you accidentally make a pattern too small, you can just enlarge it again and your data is still there.
    * Speed can now be adjusted while playing.
    * The pattern can be switched while playing.
    * Newer touch code => Better touchscreen accuracy
    * The "clr" button is now on both screens.
    * Lines between all rows for better orientation
    * Red border when in record mode => Record mode is more obvious
    * An application icon

    * Relnote/finetune calculation for wavs works again.
    * 8bit wavs are now loaded correctly without corruption.
    * Stereo samples are now downsampled to mono.
    * Better card support through new fatlib and DLDI
    * An EZ4 Lite is included (.ds.gba)
    * Fading no longer causes corruption on longer samples.
    * "ins" is now 100% stable.
    * Moved to devkitPro r19b.
  2. brn

    brn GBAtemp Regular

    Dec 29, 2006
    Does it work with the R4DS?
  3. FAST6191

    FAST6191 Techromancer

    pip Reporter
    Nov 21, 2005
    United Kingdom
    The following cards have confirmed working DLDI support and I know there are a few others in the works so to speak. The R4 DS is one of them so I would guess that it does however I do not have one as I plan on waiting for the hype to settle down before I consider jumping off that cliff.

    Ewin2 (SD Card)
    EZ Flash 4
    G6 Flash
    M3 Adapter (Compact Flash)
    M3 Adapter (SD Card)
    GBA Movie Player (Compact Flash)
    NEO Flash MK2 & MK3 (SD Card)
    NEO2 (SD Card)
    Ninja DS (SD Card)
    R4(DS) - Revolution for DS
    SuperCard (Compact Flash)
    SuperCard DS (Slot-1)
    SuperCard (SD Card)
  4. JapanLover

    JapanLover Member

    Mar 23, 2006
    United States
    still no FT2 effects support?
  5. brn

    brn GBAtemp Regular

    Dec 29, 2006
    That's great can't wait for my sd card to arrive so I can try the little white reflective sticker thing out. [IMG]
  6. serginsurge

    serginsurge Advanced Member

    Jun 25, 2004
    United States
    goias, brasil
    can someone post a download link for this because I cant download from the site. Thaks in advance.


text:
20" Wedding Sparklers - 8 per Sleeve

Minimum order of 13

Collections: Decor, Send Off, Sparklers, Wedding

  • Our 20" Wedding Sparklers are the perfect length for a dazzling wedding reception exit! Each low smoke sparkler lasts for approximately 90 seconds. These sparklers feature an Easy Light Tip making it easy to create a memorable send-off! We recommend 1 to 2 sparklers per guest.

    IMPORTANT DETAILS: Each sleeve contains 8 sparklers

    Size: Approximately 17.5" - 18" in length

    Burn time: Approximately 80 seconds

    Please Note: Sparklers may only be shipped to the contiguous US states Returns for sparklers are subject to a 25% restocking fee Federal regulations allow only ground shipping, please allow enough time to receive. Follow all laws and policies in accordance with your jurisdiction and facility. Not for ages under 5, please use under adult supervision.

    Minimum order of 13 sleeves

    Thank you so much for choosing Gracious Bridal Design House! We are honored that you appreciate our style, and want you to be wowed by our service and our product. When you receive your item, please leave us a review below! If anything is less than stellar, please contact us. Our goal is for you to have a fabulous experience.

    By purchasing this listing, you accept Gracious Bridal’s policies. All designs are copyrighted and the sole property of Gracious Bridal. GraciousBridal2017©

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How to Sleep on a Plane

I just got back from London and Paris for the Thanksgiving holiday (more on that later). I flew Virgin Atlantic, and I highly recommend it. Despite all the plush amenities this airline offers, I, yet again, was unable to sleep on the plane – either on the red eye to London or on the midday return flight to the States.

Must be nice! (Healthy Living Blog)

Must be nice! (Photo Credit: Healthy Living Blog)

Whether it’s excitement about arriving at my destination or a skewed body clock, I can never settle in and get some shut eye. So I turned to the Internet – where else? – to pull together the best tips for using your meaningless hours on an airplane meaningfully – getting some rest.

Here are 8 ways to fall (and stay) asleep on an airplane:

  1. Pick the right itinerary. Multiple travel resources say the surest way to nod off is to select an itinerary that will have you flying when you normally would be asleep. If you depart at 7 p.m., you’ll have a few hours to read or watch a movie before easing into your slumber. Then, you can awake at a somewhat reasonable time (this is most true with transatlantic flights), allowing your rested body to adjust to your new time zone and environs.
  2. Make sure you’re sitting in a sensible spot. Most people (I am one of them) prefer to sit at the front of the plane. It makes for easier disembarkation when you’re ready to get off the vessel. But the front of the plane is typically the nosiest – it’s close to bathrooms, the cockpit and staff moving about. Sitting toward the middle of the aircraft means you’re less likely to be distracted by others on the plane. Real Simple suggests opting for the window seat of an exit row, but those spots are often hard to come by. The magazine says that in order to maximize your seat (and sleep) opportunities, fly on a Tuesday or Wednesday.
  3. Properly accessorize. If it’s bright outside, noisy on the plane or you just can’t manage to “turn your brain off,” a sleep mask and earplugs are a great option. They will simulate (as best as possible) a more normal sleeping environment. Frequent travelers may want to invest in Bose headphones.

    Keep your seat reclined at a 135 degree angle for maximum comfort.

  4. Adjust your seat. The indelible Daily Telegraph has discovered the proper way to align your seat for maximum rest. According to the British Chiropractors Association, the magic number is 135 (degrees, that is).
  5. Drink lots of water – before you get on the plane. Hydration is a critical component to restful sleep. Because you don’t want to scoot through the aisles every hour or two to pop into the loo, try to hydrate 12-24 hours prior to your flight. You’ll feel a lot better when you arrive at your destination, too.
  6. Avoid sugar. Food gives your body energy and thus, makes you antsy on board. Skip the snack or meal and snooze through your flight.
  7. Dress well. Then change. Well-dressed single passengers are the most likely to get bumped up to first class, upper class or business class. I try to dress professionally on planes. But once we take off, I’ll change into yoga pants, a sweatshirt and flip-flops. It’s harder to sleep in a suit for me, so packing a quick change is a good way to relax.
  8. Secure your seatbelt. Make sure you are wearing your seatbelt above your blanket or anything else you might be using while you sleep. This means you’re less likely to be disturbed by flight attendants who periodically check the cabin for safety purposes.

These tips should help you get to snoozing in no time. Now, if only I’d follow them!

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FX has released a new trailer for American Horror Story: Coven. It's called "Burn," and it features the first actual footage from the series. It gives us our first real look at the plot of the story, and I have to say it looks awesome! I've also included an extended teaser for the Initiation trailer that was previously released.

Jessica Lange plays the mother of Sarah Paulson's character, Cordelia, who runs a small school for witches in New Orleans. The trailer shows that Taissa Farmiga's character Zoe has just learned that she's a witch and is headed off to the school for witches. This is going to be a great season.

Coven also features Kathy Bates, Angela Bassett, Frances Conroy, Gabourey Sidibe, Denis O'Hare, Patti LuPone, Evans Peters, Lily Rabe, and Emma Roberts.

Coven tells the secret history of witches and witchcraft in America. Over 300 years have passed since the turbulent days of the Salem witch trials and those who managed to escape are now facing extinction. Mysterious attacks have been escalating against their kind and young girls are being sent away to a special school in New Orleans to learn how to protect themselves. Wrapped up in the turmoil is new arrival, Zoe (Farmiga), who is harboring a terrifying secret of her own. Alarmed by the recent aggression, Fiona (Lange), the long-absent Supreme, sweeps back into town, determined to protect the Coven and hell-bent on decimating anyone who gets in her way.

The series is set to return on October 9th!

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Holy Land pilgrimage – 2016

First edited images from the Holy Land Pilgrimage, November 2016. We captured a large amount of video material during our ten days in the region – we do plan to add to the small collection shown here.

Walk in Jerusalem

Olive Picking

Annexation (updated movie includes more footage of the wall)

Sepulchre (updated version2)

Lord’s Prayer

Lutheran School: Dance