Lifeboat Foundation

Internet connectivity is charging ahead with 900,000 gaining access daily. By 2032, 8 billion will be online. What are the implications?

Satellite Internet connectivity, faster feeds and speeds, and accessibility will transform our society over the next decade.

Walking pneumonia is an informal term for pneumonia that isn’t severe enough to require bed rest or hospitalization. You may feel like you have a cold. The symptoms are generally so mild that you don’t feel you need to stay home from work or school, so you are out walking around.

Chances are you won’t see a doctor for your mild symptoms. If you do see a doctor, you may not seem sick enough to need a chest X-ray, which is the way to diagnose any kind of pneumonia.

Walking pneumonia is often caused by a type of bacterium that produces milder symptoms that come on more gradually than do those of other types of pneumonia. The illness often is brought home by young children who contract it at school. Family members of infected children typically begin having symptoms two or three weeks later. This kind of pneumonia can be treated with an antibiotic.

A complete map of the neurons inside the brain of a fruit fly larva is the largest example of a whole-brain “connectome”, and is a stepping stone to describing the brains of more complex animals, including mice and humans.

Your brain and gut are more connected than you think. Learn how to shut down a negative stress response to help the digestive symptoms of Crohn’s disease.

Researchers in the CEST group have published a study demonstrating the effectiveness of machine learning methods to identify suitable perovskite solar cell materials. Perovskite solar cells are a novel technology gathering a lot of interest due to their high efficiency and potential for radically lower manufacturing costs when compared to the traditional silicon-based solar cells.

Despite their promising qualities, the commercialization of perovskite solar cells has been held back by their fast degradation under environmental stresses, such as heat and moisture. They also contain toxic substances that can negatively impact the environment. The search for new perovskite materials that do not have these problems is ongoing, but the established experimental and computational research methods have not been able to handle the high number of material candidates that need to be tried and tested.

CEST members Jarno Laakso and Patrick Rinke, with collaborators from University of Turku and China, developed new machine learning-based methodology for rapidly predicting perovskite properties. This new approach accelerates computations and can be used to study perovskite alloys. These alloy materials contain many candidates for improved solar cell materials, but studying them has been difficult with conventional computational methods.

Nature.

Until then, the only time reference that allowed the age of the site to be established was the dating of one of the dunes that covered the surface to around 106,000 years ago (Upper Pleistocene). As with most of the hominid footprints found worldwide, we dated them in line with the environment in which they were found. For this reason, our first hypothesis when trying to attribute the newfound footprints was that they belonged to Neanderthals, who lived in the Upper Pleistocene.

Scientists have also discovered a way to use artificial intelligence to predict the risk of a heart attack or stroke using only a single x-ray.

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