Lifeboat Foundation

A study from an international team led by researchers from Nagoya University in Japan and the University of New Hampshire in the United States has revealed the importance of the Earth’s upper atmosphere in determining how large geomagnetic storms develop. Their findings reveal the previously underestimated importance of the Earth’s atmosphere. Understanding the factors that cause geomagnetic storms is important because they can have a direct impact on the Earth’s magnetic field such as causing unwanted currents in the power grid and disrupting radio signals and GPS. This research may help predict the storms that will have the greatest consequences.

Scientists have long known that geomagnetic storms are associated with the activities of the Sun. Hot charged particles make up the Sun’s outer layer, the one visible to us. These particles flow out of the Sun creating the ‘solar wind’, and interact with objects in space, such as the Earth. When the particles reach the magnetic field surrounding our planet, known as the magnetosphere, they interact with it. The interactions between the charged particles and magnetic fields lead to space weather, the conditions in space that can affect the Earth and technological systems such as satellites.

An important part of the magnetosphere is the magnetotail. The magnetotail is the part of the magnetosphere that extends away from the Sun, in the direction of the solar wind flow. Inside the magnetotail is the plasma sheet region, which is full of charged particles (plasma). The plasma sheet is important because it is the source region for the particles that get into the inner magnetosphere, creating the current that causes geomagnetic storms.

From Wi-Fi-connected home security systems to smart toilets, the so-called Internet of Things brings personalization and convenience to devices that help run homes. But with that comes tangled electrical cords or batteries that need to be replaced. Now, researchers reporting in ACS Applied Energy Materials have brought solar panel technology indoors to power smart devices. They show which photovoltaic (PV) systems work best under cool white LEDs, a common type of indoor lighting.

Indoor lighting differs from sunlight. Light bulbs are dimmer than the sun. Sunlight includes ultraviolet, infrared and visible light, whereas indoor lights typically shine light from a narrower region of the spectrum. Scientists have found ways to harness power from sunlight, using PV solar panels, but those panels are not optimized for converting indoor light into electrical energy.

Some next-generation PV materials, including perovskite minerals and organic films, have been tested with indoor light, but it’s not clear which are the most efficient at converting non-natural light into electricity; many of the studies use various types of indoor lights to test PVs made from different materials. So, Uli Würfel and coworkers compared a range of different PV technologies under the same type of indoor lighting.

This is a testable hypothesis, and with current technology, we should be able to confirm or disprove it within a few years.

MIT researchers and colleagues have demonstrated a way to precisely control the size, composition, and other properties of nanoparticles key to the reactions involved in a variety of clean energy and environmental technologies. They did so by leveraging ion irradiation, a technique in which beams of charged particles bombard a material.

They went on to show that nanoparticles created this way have superior performance over their conventionally made counterparts.

“The materials we have worked on could advance several technologies, from fuel cells to generate CO₂-free electricity to the production of clean hydrogen feedstocks for the chemical industry [through electrolysis cells],” says Bilge Yildiz, leader of the work and a professor in MIT’s Department of Nuclear Science and Engineering and Department of Materials Science and Engineering.

With 3D inkjet printing systems, engineers can fabricate hybrid structures that have soft and rigid components, like robotic grippers that are strong enough to grasp heavy objects but soft enough to interact safely with humans.

These multimaterial 3D printing systems utilize thousands of nozzles to deposit tiny droplets of resin, which are smoothed with a scraper or roller and cured with UV light. But the smoothing process could squish or smear resins that cure slowly, limiting the types of materials that can be used.

Researchers from MIT, the MIT spinout Inkbit, and ETH Zurich have developed a new 3D inkjet printing system that works with a much wider range of materials. Their printer utilizes computer vision to automatically scan the 3D printing surface and adjust the amount of resin each nozzle deposits in real time to ensure no areas have too much or too little material.

OpenAI has a third CEO in just a few days after the turmoil following Sam Altman’s firing.

OpenAI has a third CEO in three days: Emmett Shear.

Emmett Shear has a big job on his hands to fix OpenAI’s turmoil.

Continue reading “OpenAI’s new CEO is Twitch co-founder Emmett Shear” »

Greg Brockman, OpenAI co-founder, is also joining Microsoft to lead a new advanced AI research team.

Microsoft is hiring former OpenAI CEO Sam Altman and co-founder Greg Brockman.

Altman was fired from OpenAI on Friday, after the board said it “no longer has confidence in his ability to continue leading OpenAI.” After a weekend of negotiations to potentially bring Altman back to OpenAI, Microsoft CEO Satya Nadella announced that both Sam Altman and Greg Brockman will be joining to lead Microsoft’s new advanced AI research team.

Continue reading “Microsoft hires former OpenAI CEO Sam Altman” »

A University of Texas at Dallas bioengineer has developed synthetic enzymes that can control the behavior of the signaling protein Vg1, which plays a key role in the development of muscle, bone and blood in vertebrate embryos.

The team of researchers is using a new approach, called the Synthetic Processing (SynPro) system, in zebrafish to study how Vg1 is formed. By learning the molecular rules of signal formation in a developing animal, researchers aim to engineer mechanisms – such as giving cells new instructions – that could play a role in treating or preventing disease.

Dr. P.C. Dave P. Dingal, assistant professor of bioengineering in the Erik Jonsson School of Engineering and Computer Science, and his colleagues published their research online Oct. 16 in Proceedings of the National Academy of Sciences.

Autoimmune disorders are among the most prevalent chronic diseases across the globe. Emerging treatments for autoimmune disorders focus on “adoptive cell therapies,” or those using cells from a patient’s own body to achieve immunosuppression. These therapeutic cells are recognized by the patient’s body as “self,” therefore limiting side effects, and are specifically engineered to localize the intended therapeutic effect.

In treating autoimmune diseases, current adoptive cell therapies have largely centered around the regulatory T cell (T_reg), which is defined by the expression of the Forkhead box protein 3, orFoxp3. Although T_regs offer great potential, using them for therapeutic purposes remains a major challenge. In particular, current delivery methods result in inefficient engineering of T cells.

T_regs only compose approximately 5%–10% of circulating peripheral blood mononuclear cells. Furthermore, T_regs lack more specific surface markers that differentiate them from other T cell populations. These hurdles make it difficult to harvest, purify and grow T_regs to therapeutically relevant numbers. Although there are additional tissue-resident T_regs in non-lymphoid organs such as in skeletal muscle and visceral adipose tissue, these T_regs are severely inaccessible and low in number.