Sarojini Mohanta from Odisha nurtured each of the saplings in a patch of the Bonai Forest Division as her own. Today, this forestland is named ‘Sarojini Vana’ in her honour.
In a study examining the link between non-alcoholic fatty liver disease (NAFLD) and brain dysfunction, scientists at the Roger Williams Institute of Hepatology, affiliated to King’s College London and the University of Lausanne, found an accumulation of fat in the liver causes a decrease in oxygen to the brain and inflammation to brain tissue—both of which have been proven to lead to the onset of severe brain diseases.
The paper appears in the Journal of Hepatology.
NAFLD affects approximately 25% of the population and more than 80% of morbidly obese people. Several studies have reported the negative effects of an unhealthy diet and obesity can have on brain function however this is believed to be the first study that clearly links NAFLD with brain deterioration and identifies a potential therapeutic target.
Join us on Patreon!
https://www.patreon.com/MichaelLustgartenPhD
TruDiagnostic Discount Link (Epigenetic Testing)
CONQUERAGING!
https://bit.ly/3Rken0n.
Bristle Discount Link (Oral Microbiome Quantification):
ConquerAging15
https://www.bmq30trk.com/4FL3LK/GTSC3/
Quantify Discount Link (At-Home Blood Testing):
An interesting thing is happening at SpaceX. Last year they did $2 billion in revenue and Elon had mentioned that at most they could do $3 billion/year in revenue launching stuff for others.
But SpaceX has now exceeded one million subscribers for Starlink which equals to about $2 billion/year in additional revenue. So it is likely that next year that the majority of SpaceX’s revenue will be coming from Starlink even though SpaceX is launching more stuff for customers than ever before.
Starlink’s revenue should also skyrocket once Starship is able to launch Starlink 2.0 satellites which will happen at some point next year.
Elon Musk’s SpaceX announced that its Starlink satellite internet service provider has over a million active subscribers.
Even though winds on Mars are weak, they could be sufficient to provide power.
Nature Publishing:
Technology has given us everything from smart TVs that can hear you talking to self-driving cars, but before we became the digitally-driven society we are today, fear of new technology commonly served as one of the greatest threats to innovation. What we see as dated and relatively harmless inventions of the past were once the new technology that people freaked out about. Without an efficient way to educate the masses about the latest, hottest new inventions of their era, paranoia and confusion quickly took the place of logic and curiosity for many consumers. While many of these inventions are now seen as revolutionary and their modern counterparts are a part of our daily lives, there was once a time when these gadgets were some of the most frightening topics of discussion.
Scientists pinpointed several “made-from-scratch” genes that humans developed after splitting off from chimps.
This transformer robot can stand on two legs and navigate a staircase. Its developers expect it to be a key member of rescue teams by 2030.
Researchers in Spain have developed a new porous material capable of regenerating bones and preventing infections at the same time.
The scientists are from the Bioengineering and Biomaterials Laboratory of Universidad Católica de Valencia (UCV).
Tailor-made for each case using 3D printing, the biotech creations contain a bioactive alginate coating. This coating induces bone regeneration and destroys the bacteria that sometimes prevent bone formation from being completed.
The next breakthrough to take the AI world by storm might be 3D model generators. This week, OpenAI open sourced Point-E, a machine learning system that creates a 3D object given a text prompt. According to a paper published alongside the code base, Point-E can produce 3D models in one to two minutes on a single Nvidia V100 GPU.
Point-E doesn’t create 3D objects in the traditional sense. Rather, it generates point clouds, or discrete sets of data points in space that represent a 3D shape — hence the cheeky abbreviation. (The “E” in Point-E is short for “efficiency,” because it’s ostensibly faster than previous 3D object generation approaches.) Point clouds are easier to synthesize from a computational standpoint, but they don’t capture an object’s fine-grained shape or texture — a key limitation of Point-E currently.
To get around this limitation, the Point-E team trained an additional AI system to convert Point-E’s point clouds to meshes. (Meshes — the collections of vertices, edges and faces that define an object — are commonly used in 3D modeling and design.) But they note in the paper that the model can sometimes miss certain parts of objects, resulting in blocky or distorted shapes.