The first 3D model of Earth’s magnetosphere could help us better understand how satellites cope with space weather.
Summary: Researchers identified a genetic correlation between blood biomarkers and a range of mental health disorders. The study provides evidence some substance measures within the blood may be involved in the cause of mental illnesses. For example, immune system proteins may be involved in the development of depression, schizophrenia, and anorexia.
Source: The Conversation.
Mental health disorders including depression, schizophrenia, and anorexia show links to biological markers detected in routine blood tests, according to our new study of genetic, biochemical and psychiatric data from almost a million people.
Milling rice to separate the grain from the husks produces about 100 million tons of rice husk waste globally each year. Scientists searching for a scalable method to fabricate quantum dots have developed a way to recycle rice husks to create the first silicon quantum dot (QD) LED light. Their new method transforms agricultural waste into state-of-the-art light-emitting diodes in a low-cost, environmentally friendly way.
The research team from the Natural Science Center for Basic Research and Development, Hiroshima University, published their findings on January 28, 2022, in the American Chemical Society journal ACS Sustainable Chemistry & Engineering.
“Since typical QDs often involve toxic material, such as cadmium, lead, or other heavy metals, environmental concerns have been frequently deliberated when using nanomaterials. Our proposed process and fabrication method for QDs minimizes these concerns,” said Ken-ichi Saitow, lead study author and a professor of chemistry at Hiroshima University.
Watch the full documentary on TUBI (free w/ads):
https://tubitv.com/movies/613341/consciousness-evolution-of-the-mind.
IMDb-accredited film, rated TV-PG
Director: Alex Vikoulov.
Narrator: Forrest Hansen.
Copyright © 2021 Ecstadelic Media Group, Burlingame, California, USA
The most anticipated electric car of the decade is finally going to hit the tarmac in August later this year, and I can’t wait already. Yes, the iconic DMC DeLorean sports car that defined the pop culture of the 1980s and spilled far beyond just a couple of decades of fame is going to now be resurrected as an EV model. Earlier in the year, the gull-winged silhouette of the upcoming DeLorean excited all automotive fans, and now they’ve dropped a very clear half shot of the car’s rear, and a press release to keep all speculations alive. So, I can confidently say, the DeLorean is going to be back in the future!
The iconic car is in fact all set to hit the limelight on August 18, 2022, at the prestigious Awards Ramp at the Pebble Beach Concours d’Elegance. From what we see in the teaser image, the EV is going to follow the norm with a modern silhouette and this concept gives our imagination wings. If we ignore the rear that looks more akin to the Bugatti Chiron, the EV could be pretty similar to what we see in these renders. A bold form factor with an intimidating front could be on the cards. The side profile has to be sharp and flowing with a supercar-like domineer but slightly bend towards the coupe persona too. As per Troy Beetz, CMO of DeLorean Motor Company Inc, 0 “Excitement is rising like the doors of our iconic sports car, and we are revealing the next generation prototype 3 days earlier than planned on the most prestigious stage at Pebble beach.”
Designer: Recom Farmhouse, Kate Brown and Marvin Lübke.
Supercomputers are extremely fast, but also use a lot of power. Neuromorphic computing, which takes our brain as a model to build fast and energy-efficient computers, can offer a viable and much-needed alternative. The technology has a wealth of opportunities, for example in autonomous driving, interpreting medical images, edge AI or long-haul optical communications. Electrical engineer Patty Stabile is a pioneer when it comes to exploring new brain-and biology-inspired computing paradigms. “TU/e combines all it takes to demonstrate the possibilities of photon-based neuromorphic computing for AI applications.”
Patty Stabile, an associate professor in the department of Electrical Engineering, was among the first to enter the emerging field of photonic neuromorphic computing.
“I had been working on a proposal to build photonic digital artificial neurons when in 2017 researchers from MIT published an article describing how they developed a small chip for carrying out the same algebraic operations, but in an analog way. That is when I realized that synapses based on analog technology were the way to go for running artificial intelligence, and I have been hooked on the subject ever since.”
“Re-Architecting” Low Energy Wireless & IoT — Dr. David Su, Ph.D. 0, CEO & Co-Founder, Atmosic
Dr. David Su, Ph.D. (https://atmosic.com/company/leadership/) is CEO and Co-Founder of Atmosic, a fascinating company that is “re-architecting” wireless connectivity solutions from the ground up to radically reduce Internet of Things (IoT) device dependence on batteries, aiming to make batteries last forever and the Internet of Things battery free – thus breaking the power barrier to widespread IoT adoption.
Musing on living long enough to know.
Do aliens really exist? “It is virtually inconceivable to me that there isn’t intelligence somewhere in the universe,” says psychologist and astrobiologist Dr. Douglas Vakoch. “It’s just numbers.”
Continue reading “Messaging Aliens & Living Long Enough to Get A Response — Douglas Vakoch & METI” »
This Video Explains Hydrolysis of ATP
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Collective dynamics are ubiquitous in the natural world. From neural circuits to animal groups, there are countless instances in which the interactions among large numbers of elementary units bestow surprisingly complex patterns of tantalizing beauty on the collective. One of the longstanding goals of researchers in many fields is to understand behaviors of a large group of individual units by monitoring the actions of a single unit. For example, an ornithologist can learn many things about the behaviors of a flock by monitoring only a single bird.
Of greater difficulty is understanding the size of a collection of units by observing a single unit. No matter how many birds one tags with monitoring equipment, one can never be assured of having tagged the entire flock. Yet, while the ability to calculate the size of a collective from individual behaviors would be a key tool for any field, there are only a handful of recent papers trying to tackle the seemingly unsolvable problem.
In a newly published study appearing in Communications Physics, investigators led by Maurizio Porfiri, Institute Professor of Mechanical and Aerospace Engineering and Biomedical Engineering, and a member of the Center for Urban Science and Progress (CUSP) at the NYU Tandon School of Engineering; and Pietro De Lellis of the University of Naples, Italy, offer a paradigm to solve this problem, one that builds upon precepts that can be traced back to the work of Einstein.
