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It will still be a while before scientists are able to harness Superman-like laser vision, but the technology is now closer than ever before thanks to a new development from the University of St Andrews. The team there have created an ultra-thin membrane laser using organic semiconductors, which is for the first time compatible with the requirements for safe operation in the human eye. Even though the membrane is super thin and flexible, it’s durable, and will retain its optical properties even after several months spent attached to another object, such as a bank note or, more excitingly, a contact lens.

The ocular laser, which has so far been tested on cow eyes, is able to identify sharp lines on a flat background — the ones and zeros of a digital barcode — and could be harnessed for new applications in security, biophotonics and photomedicine. Team member Professor Malte Gather said: “Our work represents a new milestone in laser development and, in particular, points the way to how lasers can be used in inherently soft and ductile environments, be it in wearable sensors or as an authentication feature on bank notes.”

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Sometimes, people laugh imagining themselves as elderly people. Would they laugh imagining themselves as diseased?


If you watched a TV show, or read a comic book, where the difficulties and suffering of an oncological patient were portrayed in a disrespectful, humorous way, you would likely be outraged; at the very least, you would think that the show or comic book was in seriously bad taste. You’d probably think the same about similar material involving a disabled person or anyone who, because of an incurable disease, had only a short time to live spent in increasing misery—for example, a child affected by progeria, a disease that may best be described as a sort of accelerated aging syndrome that kills off its victims in their mid-twenties at the very latest.

Yet, it is not uncommon to see the diseases of old age, and even elderly people in general, being laughed at in just such a way without causing much outrage at all. Why is there a difference?

We’ve all seen this

You can probably recall plenty of examples of this phenomenon from your own experience. Who has never seen a sketch where the main characters are exasperated by a shriveled, elderly man who, holding up an old-fashioned ear trumpet, keeps getting wrong what they are saying despite all their efforts? How many times have cheap laughs been gotten because of an elderly person losing his or her dentures or a rambling old man exaggeratedly ranting about pretty much everything?

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Two hormones called #notum and #lipocalin5 that speed up the body’s ability to burn fat.


UCLA geneticists have created a new technique to hunt for hormones that influence how organs and tissues communicate with each other. The method enabled them to find naturally occurring molecules that play major roles in Type 2 diabetes, obesity and cardiovascular disease.

In particular, they discovered:

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Nearly 10% of global GDP is spent on health care, according to the latest data from the WHO. Rich countries spend an average of 12%, with America an outlier well above that; middle-income ones (including China) 6%; and low-income ones just under 6%. In developed countries, 60% of health spending comes from public sources. In poor economies the figure is around 40%. As economies grow and governments are able to allocate more resources to health, the share of individual out-of-pocket spending typically falls. But the variation in such spending in poor countries suggests that the health systems they end up with depend on their choice of public policies.


IN 2013 A GROUP of doctors and health economists argued in the Lancet that a “grand convergence” would be possible over the next two decades. If governments spent more on health, and more wisely, mortality rates in the poorest countries could fall to those seen in the healthiest middle-income ones. That would amount to saving 10m lives a year.

To see what a high-quality health-care system in a developing country looks like, consider the case of Farida Waree, a 55-year-old housewife in Thailand. In early 2016 Mrs Waree felt a lump on her right breast. She went to her local primary-care centre, which referred her to Nakornayok provincial hospital. She was diagnosed with cancer, and over the next year was given a mastectomy, chemotherapy and Herceptin, an anti-cancer drug. Five years earlier her treatment might have cost her 800,000 baht (about $25,000), much more than she and her family could have afforded. Instead, nearly all the costs were covered under Thailand’s Universal Coverage Scheme. The cancer is now in remission. “I consider myself very fortunate,” she says.

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As if it’s not bad enough that bacteria are increasingly becoming resistant to our best antibiotics – some bugs are even eating the drugs. An international team of scientists has now examined just how the bacteria disarm and consume the antibiotics as food, uncovering new potential ways to fight back against resistance.

Bacteria are evolving resistance to antibiotics at an alarming rate, thanks to overprescription and overuse. If left unchecked, reports suggest that by 2050 the so-called superbugs could be responsible for up to 10 million deaths a year, ushering in a new dark age of medicine where our drugs simply don’t work.

Adding insult to injury, some species of bacteria flaunt their resistance by actually chowing down on antibiotics. New research out of the Washington University School of Medicine in St. Louis has set out to examine just how the bacteria manage to do this.

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Deepcric is a deep learning system for cricket. It looks at cricket video and does scene segmentation, scene classification, automatic commentary generation, targeted highlights generation, player identification, and player stats extraction.


Deep learning has been applied everywhere. From imagenet [1] to disease identification [2] to large-scale video classification [3] to text classification [4], there are barely any areas where people have not applied deep learning. But interestingly, there has been very little work in applying data science and deep learning to the game of cricket. This post is a detailed overview of my final year project at the FAST National University. We have developed a deep learning based system that is able to do many tasks in cricket in an automated way. Some of these tasks are:

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In a few seconds flat, you’ve gone from a neatly-equipped office to a home cinema…all within the same four walls. Who needs more than one room?

This is the dream of those who work on “programmable matter.”

In his recent book about AI, Max Tegmark makes a distinction between three different levels of computational sophistication for organisms. Life 1.0 is single-celled organisms like bacteria; here, hardware is indistinguishable from software. The behavior of the bacteria is encoded into its DNA; it cannot learn new things.

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Not surprising and yet fascinating to actually see — “The researchers found that music activates the brain, causing whole regions to communicate. By listening to the personal soundtrack, the visual network, the salience network, the executive network and the cerebellar and corticocerebellar network pairs all showed significantly higher functional connectivity.”


“Ever get chills lis­ten­ing to a par­tic­u­lar­ly mov­ing piece of music? You can thank the salience net­work of the brain for that emo­tion­al joint. Sur­pris­ing­ly, this region also remains an island of remem­brance that is spared from the rav­ages of Alzheimer’s dis­ease. Researchers at the Uni­ver­si­ty of Utah Health are look­ing to this region of the brain to devel­op music-based treat­ments to help alle­vi­ate anx­i­ety in patients with demen­tia. Their research will appear in the April online issue of The Jour­nal of Pre­ven­tion of Alzheimer’s Disease…

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