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Friday, July 26, 2013

Bad Night's Sleep? The Moon Could Be to Blame


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Many people complain about poor sleep around the full moon, and now a report appearing in Current Biology, a Cell Press publication, on July 25 offers some of the first convincing scientific evidence to suggest that this really is true. The findings add to evidence that humans -- despite the comforts of our civilized world -- still respond to the geophysical rhythms of the moon, driven by a circalunar clock.

Many people complain about poor sleep around the full moon, and now a report appearing in Current Biology, a Cell Press publication, on July 25 offers some of the first convincing scientific evidence to suggest that this really is true. The findings add to evidence that humans -- despite the comforts of our civilized world -- still respond to the geophysical rhythms of the moon, driven by a circalunar clock.
Many people complain about poor sleep around the full moon, and now a report appearing in Current Biology, a Cell Press publication, on July 25 offers some of the first convincing scientific evidence to suggest that this really is true. The findings add to evidence that humans -- despite the comforts of our civilized world -- still respond to the geophysical rhythms of the moon, driven by a circalunar clock. (Credit: Current Biology, Cajochen et al.)

"The lunar cycle seems to influence human sleep, even when one does not 'see' the moon and is not aware of the actual moon phase," says Christian Cajochen of the Psychiatric Hospital of the University of Basel.

In the new study, the researchers studied 33 volunteers in two age groups in the lab while they slept. Their brain patterns were monitored while sleeping, along with eye movements and hormone secretions.

The data show that around the full moon, brain activity related to deep sleep dropped by 30 percent. People also took five minutes longer to fall asleep, and they slept for twenty minutes less time overall. Study participants felt as though their sleep was poorer when the moon was full, and they showed diminished levels of melatonin, a hormone known to regulate sleep and wake cycles.

"This is the first reliable evidence that a lunar rhythm can modulate sleep structure in humans when measured under the highly controlled conditions of a circadian laboratory study protocol without time cues," the researchers say.

Cajochen adds that this circalunar rhythm might be a relic from a past in which the moon could have synchronized human behaviors for reproductive or other purposes, much as it does in other animals. Today, the moon's hold over us is usually masked by the influence of electrical lighting and other aspects of modern life.

The researchers say it would be interesting to look more deeply into the anatomical location of the circalunar clock and its molecular and neuronal underpinnings. And, they say, it could turn out that the moon has power over other aspects of our behavior as well, such as our cognitive performance and our moods.

Tuesday, July 16, 2013

Computer as Smart as a 4-Year-Old? Researchers IQ Test New Artificial Intelligence System


Artificial and natural knowledge researchers at the University of Illinois at Chicago have IQ-tested one of the best available artificial intelligence systems to see how intelligent it really is.

Artificial and natural knowledge researchers at the University of Illinois at Chicago have IQ-tested one of the best available artificial intelligence systems to see how intelligent it really is.
Artificial and natural knowledge researchers IQ-tested 
one of the best available artificial intelligence systems 
and learned that it's about as smart as the average 
4-year-old. (Credit: © Spofi / Fotolia)
Turns out it's about as smart as the average 4-year-old, they will report July 17 at the U.S. Artificial Intelligence Conference in Bellevue, Wash.

The UIC team put ConceptNet 4, an artificial intelligence system developed at M.I.T., through the verbal portions of the Weschsler Preschool and Primary Scale of Intelligence Test, a standard IQ assessment for young children.

They found ConceptNet 4 has the average IQ of a young child. But unlike most children, the machine's scores were very uneven across different portions of the test.

"If a child had scores that varied this much, it might be a symptom that something was wrong," said Robert Sloan, professor and head of computer science at UIC, and lead author on the study.

Sloan said ConceptNet 4 did very well on a test of vocabulary and on a test of its ability to recognize similarities.

"But ConceptNet 4 did dramatically worse than average on comprehension­the 'why' questions," he said.

One of the hardest problems in building an artificial intelligence, Sloan said, is devising a computer program that can make sound and prudent judgment based on a simple perception of the situation or facts-the dictionary definition of commonsense.

Commonsense has eluded AI engineers because it requires both a very large collection of facts and what Sloan calls implicit facts-things so obvious that we don't know we know them. A computer may know the temperature at which water freezes, but we know that ice is cold.

"All of us know a huge number of things," said Sloan. "As babies, we crawled around and yanked on things and learned that things fall. We yanked on other things and learned that dogs and cats don't appreciate having their tails pulled." Life is a rich learning environment.

"We're still very far from programs with commonsense-AI that can answer comprehension questions with the skill of a child of 8," said Sloan. He and his colleagues hope the study will help to focus attention on the "hard spots" in AI research.

Study coauthors are UIC professors Stellan Ohlsson of psychology and Gyorgy Turan of mathematics, statistics and computer science; and UIC mathematical computer science undergraduate student Aaron Urasky.

The study was supported by award N00014-09-1-0125 from the Office of Naval Research and grant CCF-0916708 from the National Science Foundation.

Friday, July 5, 2013

For better batteries, just add water


A new type of lithium-ion battery that uses aqueous iodide ions in an aqueous cathode configuration provides twice the energy density of conventional lithium-ion batteries.

A new type of lithium-ion battery that uses aqueous iodide ions
in an aqueous cathode configuration provides twice the energy
density of conventional lithium-ion batteries.
Lithium-ion batteries are now found everywhere in devices such as cellular phones and laptop computers, where they perform well. In automotive applications, however, engineers face the challenge of squeezing enough lithium-ion batteries onto a vehicle to provide the desired power and range without introducing storage and weight issues. Hye Ryung Byon, Yu Zhao and Lina Wang from the RIKEN Byon Initiative Research Unit have now developed a lithium-iodine battery system with twice the energy density of conventional lithium-ion batteries.

Byon's team is involved in alternative energy research and, specifically, improving the performance of lithium-based battery technologies. In their research they turned to an 'aqueous' system in which the organic electrolyte in conventional lithium-ion cells is replaced with water. Such aqueous lithium battery technologies have gained attention among alternative energy researchers because of their greatly reduced fire risk and environmental hazard. Aqueous solutions also have other advantages, which include an inherently high ionic conductivity.

For their battery system, the researchers investigated an 'aqueous cathode' configuration (Fig. 1), which accelerates reduction and oxidation reactions to improve battery performance. Finding suitable reagents for the aqueous cathode, however, proved to be a tricky proposition. According to Byon, water solubility is the most important criterion for screening new materials, since this parameter determines the battery's energy density. Furthermore, the redox reaction has to take place in a restricted voltage range in order to avoid water electrolysis. An extensive search led the researchers to produce the first-ever lithium battery involving aqueous iodine—an element with high water solubility and a pair of ions, known as the triiodide/iodide redox couple, that readily undergo aqueous electrochemical reactions.

The team constructed a prototype aqueous cathode device and found the energy density to be nearly double that of a conventional lithium-ion battery, thanks to the high solubility of the triiodide/iodide ions. Their battery had high and near-ideal power storage capacities and could be successfully recharged hundreds of times, avoiding a problem that plagues other alternative high-energy-density lithium-ion batteries. Microscopy analysis revealed that the cathode collector remained untouched after 100 charge/discharge cycles with no observable corrosion or precipitate formation.

Byon and colleagues now plan to develop a three-dimensional, microstructured current collector that could enhance the diffusion-controlled triiodide/iodide process and accelerate charge and discharge. They are also seeking to raise energy densities even further by using a flowing-electrode configuration that stores aqueous 'fuel' in an external reservoir—a modification that should make this low-cost, heavy metal-free design more amenable to electric vehicle specifications.

More information: 1.Zhao, Y., Wang, L. & Byon, H. R. High-performance rechargeable lithium-iodine batteries using triiodide/iodide redox couples in an aqueous cathode. Nature Communications 4, 1896 (2013). dx.doi.org/10.1038/ncomms2907

Wednesday, July 3, 2013

Microsoft creates mood sensing software for smartphones


Microsoft Research Asia has been working on creating software called MoodScope that notes how a user uses his or her phone, and then uses that information to guess that user's mood. Initial testing of the device has shown it to be 66 percent accurate; when tailored to an individual user, the team reports that the accuracy rate jumped to 93 percent. The research team includes Nicholas Lane and Robert LiKamWa of Rice University, and Lin Zhong and Yunxin Liu from Microsoft Research Asia. They built a prototype and posted their test study results on Microsoft's website.
The circumplex mood model.
The circumplex mood model. Credit: Robert LiKamWa et al.

Most people realize that their smartphone has a lot of embedded technology in it that interacts with the world at large—GPS hardware, accelerometers, etc. all monitor activity and use that data to provide useful functions, such as automatically switching from landscape to portrait mode when a phone is rotated. In this new effort, the researchers sought to discover whether software that monitors phone activities could reveal the users' moods.

To find out, the team wrote code that monitored email, texting, app usage, phone calls, location information, and browsing history, then added algorithms to guess mood based on that data. Next, they enlisted the assistance of 32 volunteers to help them test the accuracy of their code. The volunteers were asked to use the system for two months while also completing mood assessments to provide data for comparison. With no training or tweaking, the software was found to provide answers of happy, tense, calm, upset, excited, stressed, or bored that matched the actual mood reported by the volunteers, on average 66 percent of the time. After optimizing the system for the individual habits of each of the volunteers, the rate increased to 93 percent.

The researchers suggest third party hooks could be added to the software to allow for automatically transmitting user moods to applications like Facebook. They also acknowledge that privacy concerns could arise if the software were to be delivered to the public, but suggest the benefits of such software would likely outweigh such concerns. They note that sites like Netflix or Spotify could use data from MoodScope to offer movies or other content based on specific users' moods.



The team presented their findings at MobiSys 2013 held in Taiwan last month.

 

More information: MoodScope Building a Mood Sensor from Smartphone Usage Patterns: research.microsoft.com/apps/pubs/default.aspx?id=194498
 

Research paper: www.ruf.rice.edu/~mobile/publications/likamwa2013mobisys2.pdf