Tag Archives: experiment

Diet May Help ADHD Kids More Than Drugs

Diet May Help ADHD Kids More Than Drugs

Kids with ADHD can be restless and difficult to handle. Many of them are treated with drugs, but a new study says food may be the key. Published in The Lancet journal, the study suggests that with a very restrictive diet, kids with ADHD could experience a significant reduction in symptoms.

The study’s lead author, Dr. Lidy Pelsser of the ADHD Research Centre in the Netherlands, writes in The Lancet that the disorder is triggered in many cases by external factors — and those can be treated through changes to one’s environment. “ADHD, it’s just a couple of symptoms — it’s not a disease,” the Dutch researcher tells All Things Considered weekend host Guy Raz.

The way we think about — and treat — these behaviors is wrong, Pelsser says. “There is a paradigm shift needed. If a child is diagnosed ADHD, we should say, ‘OK, we have got those symptoms, now let’s start looking for a cause.’ ”

According to Pelsser, 64 percent of children diagnosed with ADHD are actually experiencing a hypersensitivity to food. Researchers determined that by starting kids on a very elaborate diet, then restricting it over a few weeks’ time. “It’s only five weeks,” Pelsser says. “If it is the diet, then we start to find out which foods are causing the problems.”

Teachers and doctors who worked with children in the study reported marked changes in behavior. “In fact, they were flabbergasted,” Pelsser says.

Related: Nearly 1 million Children Potentially Misdiagnosed with ADHD in the USALifestyle Drugs and RiskOver-reliance on Prescription Drugs to Aid Children’s Sleep?Epidemic of Diagnoses
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8-10 Year Olds Research Published in Royal Society Journal

Eight-year-old children publish bee study in Royal Society journal

Their paper, based on fieldwork carried out in a local churchyard, describes how bumblebees can learn which flowers to forage from with more flexibility than anyone had thought. It’s the culmination of a project [Blackawton Bees] called ‘i, scientist’, designed to get students to actually carry out scientific research themselves.

The class (including Lotto’s son, Misha) came up with their own questions, devised hypotheses, designed experiments, and analysed data. They wrote the paper themselves (except for the abstract), and they drew all the figures with colouring pencils.
It’s a refreshing approach to science education, in that it actually involves doing science.

The children designed a Plexiglas cube with two entrances and a four-panelled light box in the middle. Each panel had 16 coloured lights, illuminated in clear patterns of blue and yellow. Each light had a feeder that dispensed either delicious sugar water or repulsive salty water. Once the bees had learned to drink from the feeders, the kids turned the lights on.

Absolutely great stuff. This is how to engage kids in science. Engage their inquisitive minds. Let them get involved. Let them experiment.

Some of the children’s questions when looking at what to discover using experiments:

What if… we could find out how much effort the bees will go through in order to get a reward? For instance, they have to move something heavy out of the way to get a reward.

What if… we could discover if bees can learn to go to certain colours depending on how sweet they are?

What if… we could find out how many colours they could remember?

Related: Playing Dice and Children’s NumeracyKids on Scientists: Before and AfterTest it Out, Experiment by They Might Be GiantsWhat Kids can LearnTinker School: Engineering CampTeen diagnoses her own disease in science class

And some of their comments:
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NHL Experiments with the Rules of Hockey

The NHL’s ice-capades

The players—who were, in an attention-getting wrinkle, mostly top junior stars eligible for the 2011 draft—road-tested everything from two-on-two overtime to shallower nets to having the second referee view the play from an elevated off-ice platform. On day two, viewers were confronted with the bizarre spectacle of the traditional five faceoff circles being replaced by three, running up the middle of the rink.

Placed in charge of the R & D effort, and the sales job surrounding it, is retired hockey great Brendan Shanahan, now the league’s vice-president of hockey and business development. “There were some ideas that were adventurous and others that were subtle,” says Shanahan, about the recent camp. “I wanted to capture the full spectrum.” Shanahan, who had the final say on the testing schedule, takes the scientist’s view that a “negative” experimental result can be as useful and instructive as a “positive” one. “Sometimes you just have to see things play out to really satisfy your curiosity,” he says. “What I told people that got sort of frightened at some of our far-out ideas is that sometimes your goal is to breathe life into an idea—but other times, you try it out because it’s time to put it to bed.”

I applaud their willingness to try experiments. I am a sports fan who doesn’t find much interest in the NHL, but I do enjoy Olympic hockey.

Related: Teen Goalie Designs Camouflage PadsEngineering a Better FootballRandomization in SportsBaseball Pitch Designed in the Lab

Google Prediction API

This looks very cool.

The Prediction API enables access to Google’s machine learning algorithms to analyze your historic data and predict likely future outcomes. Upload your data to Google Storage for Developers, then use the Prediction API to make real-time decisions in your applications. The Prediction API implements supervised learning algorithms as a RESTful web service to let you leverage patterns in your data, providing more relevant information to your users. Run your predictions on Google’s infrastructure and scale effortlessly as your data grows in size and complexity.

Accessible from many platforms: Google App Engine, Apps Script (Google Spreadsheets), web & desktop apps, and command line.

The Prediction API supports CSV formatted training data, up to 100M in size. Numeric or unstructured text can be sent as input features, and discrete categories (up to a few hundred different ones) can be provided as output labels.

Uses:
Language identification
Customer sentiment analysis
Product recommendations & upsell opportunities
Diagnostics
Document and email classification

Related: The Second 5,000 Days of the WebRobot Independently Applies the Scientific MethodControlled Experiments for Software SolutionsStatistical Learning as the Ultimate Agile Development Tool by Peter Norvig

Next steps for Google’s Experimental Fiber Network

Think big with a gig: Google’s experimental fiber

Universal, ultra high-speed Internet access will make all this and more possible. We’ve urged the FCC to look at new and creative ways to get there in its National Broadband Plan – and today we’re announcing an experiment of our own.

We’re planning to build and test ultra high-speed broadband networks in a small number of trial locations across the United States. We’ll deliver Internet speeds more than 100 times faster than what most Americans have access to today with 1 gigabit per second, fiber-to-the-home connections. We plan to offer service at a competitive price to at least 50,000 and potentially up to 500,000 people.

Next steps for our experimental fiber network

So what’s next? Over the coming months, we’ll be reviewing the responses to determine where to build. As we narrow down our choices, we’ll be conducting site visits, meeting with local officials and consulting with third-party organizations. Based on a rigorous review of the data, we will announce our target community or communities by the end of the year.

Of course, we’re not going to be able to build in every interested community — our plan is to reach a total of at least 50,000 and potentially up to 500,000 people with this experiment. Wherever we decide to build, we hope to learn lessons that will help improve Internet access everywhere.

This is another great idea from Google. Not only to push forward the much poorer internet connectivity those in the USA have than other countries but it will hopefully lead to some real engineering breakthroughs. And it is a smart move to increase Google’s potential income – a better internet experience (for users) will likely help Google quite a bit.

Related: Google’s Underwater CablesGoogle Server Hardware DesignChina’s Next Generation InternetNet Neutrality: This is serious

Autonomous Underwater Robot Decides on Experiment Options

Ocean robot plans experiments

the autonomous underwater vehicle (AUV) used a piece of software called “T rex”, which operates in a similar way to the software used to control Nasa’s Mars Exploration Rovers – helping them to avoid obstacles on the surface of the Red Planet.

One main difference between the two pieces of software is that for the Mars rovers, the software ran in the control centre on Earth. With this marine vehicle, it runs onboard the robotic vehicle.

“We tell it, ‘here’s the range of tasks that we want you to perform’, and it goes off and assesses what is happening in the ocean, making decisions about how much of the range it will cover to get back the data we want.”

Researchers at MBARI used the Gulper AUV to monitor potentially harmful algal blooms.

Kim Fulton-Bennett from MBARI explained: “We used to send out a ship for a full day every few weeks to manually take these measurements. Now we just take the AUV outside the harbour and send it on its way.

“About 24 hours later, it comes back, we hoist it on board, and download the data.”

Related: Underwater robots work together without human inputUnmanned Water VehiclesUS Navy Sponsored Technology Summer Camp

Slime Mold and Engineers Design Similar Solution

Slime Mold Grows Network Just Like Tokyo Rail System

Talented and dedicated engineers spent countless hours designing Japan’s rail system to be one of the world’s most efficient. Could have just asked a slime mold.

When presented with oat flakes arranged in the pattern of Japanese cities around Tokyo, brainless, single-celled slime molds construct networks of nutrient-channeling tubes that are strikingly similar to the layout of the Japanese rail system, researchers from Japan and England report Jan. 22 in Science. A new model based on the simple rules of the slime mold’s behavior may lead to the design of more efficient, adaptable networks, the team contends.

The yellow slime mold Physarum polycephalum grows as a single cell that is big enough to be seen with the naked eye. When it encounters numerous food sources separated in space, the slime mold cell surrounds the food and creates tunnels to distribute the nutrients. In the experiment, researchers led by Toshiyuki Nakagaki, of Hokkaido University in Sapporo, Japan, placed oat flakes (a slime mold delicacy) in a pattern that mimicked the way cities are scattered around Tokyo, then set the slime mold loose.

Initially, the slime mold dispersed evenly around the oat flakes, exploring its new territory. But within hours, the slime mold began to refine its pattern, strengthening the tunnels between oat flakes while the other links gradually disappeared. After about a day, the slime mold had constructed a network of interconnected nutrient-ferrying tubes. Its design looked almost identical to that of the rail system surrounding Tokyo, with a larger number of strong, resilient tunnels connecting centrally located oats. “There is a remarkable degree of overlap between the two systems,” Fricker says.

Related: Thinking Slime MoldsSingle-Celled Giant Provides New Early-Evolution PerspectiveRat Brain Cells, in a Dish, Flying a PlaneHow Cells Age

Microcosm by Carl Zimmer

cover of Microcosm by Carl Zimmer

Microcosm: E. Coli and the New Science of Life by Carl Zimmer is an excellent book. It is full of fascinating information and as usual Carl Zimmer’s writing is engaging and makes complex topics clear.

E-coli keep the level of oxygen low in the gut making the resident microbes comfortable. At any time a person will have as many as 30 strains of E. coli in their gut and it is very rare for someone ever to be free of E. coli. [page 53]

In 1943, Luria and Delbruck published the results that won them the 1969 Nobel Prize in Physiology or Medicine in which they showed that bacteria and viruses pass down their traits using genes (though it took quite some time for the scientific community at large to accept this). [page 70]

during a crisis E coli’s mutation rates could soar a hundred – or even a thousandfold… Normally, natural selection favors low mutation rates, since most mutations are harmful. But in times of stress extra mutations may raise the odds that organisms will hit on a way out of their crisis… [alternatively, perhaps] In times of stress, E coli. may not be able to afford the luxury of accurate DNA repair. Instead, it turns to the cheaper lo-fi polymerases. While they may do a sloppier job, E coli. comes out ahead [page 106]
Hybridization is not the only way foreign DNA got into our cells. Some 3 billion years ago our single-celled ancestors engulfed oxygen-breathing bacteria, which became the mitochondria on which we depend. And, like E. coli, our genomes have taken in virus upon virus. Scientists have identified more than 98,000 viruses in the human genome, along with our mutant vestiges of 150,00 others… If we were to strip out all our transgenic DNA, we would become extinct.

I highly recommend Microcosm, just as I highly recommend Parasite Rex, by Carl Zimmer.

Related: Bacteriophages: The Most Common Life-Like Form on EarthForeign Cells Outnumber Human Cells in Our BodiesAmazing Designs of LifeAmazing Science: RetrovirusesOne Species’ Genome Discovered Inside Another’s

Statistics Insights for Scientists and Engineers

My father was a engineer and statistician. Along with George Box and Stu Hunter (no relation) they wrote Statistics for Experimenters (one of the potential titles had been Statistics for Engineers). They had an interest in bringing applied statistics to the work of scientists and engineers and I have that interest also. To me the key trait for applied statistics is to help experimenters learn quickly: it is an aid in the discovery process. It should not be a passive tool for analysis (which is how people often think of statistics).

José Ramírez studied applied and industrial statistics at the University of Wisconsin – Madison with my father and George Box. And now has a book and blog on taking statistics to engineers and scientists

The book is primarily written for engineers and scientists who need to use statistics and JMP to make sense of data and make sound decisions based on their analyses. This includes, for example, people working in semiconductor, automotive, chemical and aerospace industries. Other professionals in these industries who will find it valuable include quality engineers, reliability engineers, Six Sigma Black Belts and statisticians.

For those who want a reference for how to solve common problems using statistics and JMP, we walk through different case studies using a seven-step problem-solving framework, with heavy emphasis on the problem setup, interpretation, and translation of the results in the context of the problem.

For those who want to learn more about the statistical techniques and concepts, we provide a practical overview of the underpinnings and provide appropriate references. Finally, for those who want to learn how to benefit from the power of JMP, we have loaded the book with many step-by-step instructions and tips and tricks.

Related: Highlights from George Box Speech at JMP conference Nov 2009Controlled Experiments for Software SolutionsMistakes in Experimental Design and InterpretationFlorence Nightingale: The passionate statistician

Stat Insights is a blog by José and Brenda Ramírez.

Analyzing and Interpreting Continuous Data Using JMP by José and Brenda Ramírez. view chapter 1 online.

[We] have focused on making statistics both accessible and effective in helping to solve common problems found in an industrial setting. Statistical techniques are introduced not as a collection of formulas to be followed, but as a catalyst to enhance and speed up the engineering and scientific problem-solving process. Each chapter uses a 7-step problem-solving framework to make sure that the right problem is being solved with an appropriate selection of tools.

Ants Counting Their Step

Ants That Count!

Most ants get around by leaving smell trails on the forest floor that show other ants how to get home or to food. They squeeze the glands that cover their bodies; those glands release a scent, and the scents in combination create trails the other ants can follow.

That works in the forest, but it doesn’t work in a desert. Deserts are sandy and when the wind blows, smells scatter.

It’s already known that ants use celestial clues to establish the general direction home, but how do they know exactly the number of steps to take that will lead them right to the entrance of their nest?

Wolf and Whittlinger trained a bunch of ants to walk across a patch of desert to some food. When the ants began eating, the scientists trapped them and divided them into three groups. They left the first group alone. With the second group, they used superglue to attach pre-cut pig bristles to each of their six legs, essentially putting them on stilts.

The regular ants walked right to the nest and went inside. The ants on stilts walked right past the nest, stopped and looked around for their home…

I posted about this back in 2006: Ants on Stilts for Science, but the webcast by NPR is worth a new post.

Related: E.O. Wilson: Lord of the AntsHuge Ant Nestposts showing the scientific method of learning in action