Lifeboat Foundation: Safeguarding Humanity
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Epigenetics, the chemical mechanisms that controls the activity of genes, allows our cells, tissues and organs to adapt to the changing circumstances of the environment around us. This advantage can become a drawback, though, as this epigenetic regulation can be more easily altered by toxins than the more stable genetic sequence of the DNA.

An article recently published at Science with the collaboration of the groups of Dr. Manel Esteller, Director of the Josep Carreras Leukaemia Research Institute (IJC-CERCA), ICREA Research Professor and Chairman of Genetics at the University of Barcelona, and Dr. Lucas Pontel, Ramon y Cajal Fellow also of the Josep Carreras Institute, demonstrates that the substance called formaldehyde, commonly present in various household and cosmetic products, in polluted air, and widely used in construction, is a powerful modifier of normal epigenetic patterns.

The publication is led by Dr. Christopher J. Chang, of the University of California Berkeley in the United States, whose research group is pioneer in the study of the effects of various chemical products on cell metabolism. The research has focused on investigating the effects of high concentrations of formaldehyde in the body, a substance already been associated with an increased risk of developing cancer (nasopharyngeal tumours and leukaemia), hepatic degeneration due to fatty liver (steatosis) and asthma. Dr. Esteller points out that this is relevant because “formaldehyde enters our body mainly during our breathing and, because it dissolves well in an aqueous medium, it ends up reaching all the cells of our body”.

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The sky is no longer the limit—but taking flight is dangerous. In leaving the Earth’s surface, we lose many of the cues we need to orient ourselves, and that spatial disorientation can be deadly. Astronauts normally need intensive training to protect against it. But scientists have now found that wearable devices which vibrate to give orientation cues may boost the efficacy of this training significantly, making spaceflight slightly safer.

“Long-duration will cause many physiological and psychological stressors, which will make very susceptible to ,” said Dr. Vivekanand P. Vimal of Brandeis University in the United States, lead author of an article in Frontiers in Physiology on this topic. “When disoriented, an astronaut will no longer be able to rely on their own internal sensors, which they have depended on for their whole lives.”

The researchers used and a multi-axis rotation device to test their vibrotactors in simulated spaceflight, so the senses participants would normally rely on were useless. Could the vibrotactors correct the misleading cues the participants would receive from their vestibular systems, and could participants be trained to trust them?

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An experiment has finally revealed how it might feel to touch a quantum superfluid.

Physicists dunked a special, finger-sized probe into an isotope of helium cooled to just a smidge over absolute zero, and recorded the physical properties therein.

It is, they say, the first time we have gleaned an inkling of what the quantum Universe might feel like. And no one had to get horrific frostbite, or ruin an experiment, to find out for real.

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MIT physicists and colleagues have metaphorically turned graphite, or pencil lead, into gold by isolating five ultrathin flakes stacked in a specific order. The resulting material can then be tuned to exhibit three important properties never before seen in natural graphite.

“It is kind of like one-stop shopping,” says Long Ju, an assistant professor in the MIT Department of Physics and leader of the work, which is reported in the Nature Nanotechnology. “In this case, we never realized that all of these interesting things are embedded in graphite.”

Further, he says, “It is very rare to find materials that can host this many properties.”

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The European Space Agency.

The European Space Agency (ESA) is an intergovernmental organization dedicated to the exploration and study of space. ESA was established in 1975 and has 22 member states, with its headquarters located in Paris, France. ESA is responsible for the development and coordination of Europe’s space activities, including the design, construction, and launch of spacecraft and satellites for scientific research and Earth observation. Some of ESA’s flagship missions have included the Rosetta mission to study a comet, the Gaia mission to create a 3D map of the Milky Way, and the ExoMars mission to search for evidence of past or present life on Mars.

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In recent years, the field of artificial intelligence has witnessed remarkable advancements, with researchers exploring innovative ways to utilize existing technology in groundbreaking applications. One such intriguing concept is the use of WiFi routers as virtual cameras to map a home and detect the presence and locations of individuals, akin to an MRI machine. This revolutionary technology harnesses the power of AI algorithms and WiFi signals to create a unique, non-intrusive way of monitoring human presence within indoor spaces. In this article, we will delve into the workings of this technology, its potential capabilities, and the implications it may have on the future of smart homes and security.

The Foundation of WiFi Imaging: WiFi imaging, also known as radio frequency (RF) sensing, revolves around leveraging the signals emitted by WiFi routers. These signals interact with the surrounding environment, reflecting off objects and people within their range. AI algorithms then process the alterations in these signals to form an image of the indoor space, thus providing a representation of the occupants and their movements. Unlike traditional cameras, WiFi imaging is capable of penetrating walls and obstructions, making it particularly valuable for monitoring people without compromising their privacy.

AI Algorithms in WiFi Imaging: The heart of this technology lies in the powerful AI algorithms that interpret the fluctuations in WiFi signals and translate them into meaningful data. Machine learning techniques, such as neural networks, play a pivotal role in recognizing patterns, identifying individuals, and discerning between static objects and moving entities. As the AI model continuously learns from the WiFi data, it enhances its accuracy and adaptability, making it more proficient in detecting and tracking people over time.

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