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It may have all started with a moon.


So it is not very likely that random minor impacts caused one planet to almost 70 degrees more than the other while not affecting their spin rates.

Similar spin rates point to much “smoother” processes that took place over eons but dramatically affected the properties of the two gas giants.

Scientists have already hypothesized the “Great Migration” of the outer planets through the inner solar system and its cloud of early planetessimals, which was likely the cause of events such as the Late Heavy Bombardment, which is responsible for many of the craters visible on our Moon.

Circa 2018 face_with_colon_three


“This data set—and the opportunities it creates—are … arguably one of the most important things to have happened in neurobiology recently,” says Rachel Wilson, a neurobiologist at Harvard University who was not involved in the new work. “Anyone in the world who is interested can download the data set and determine whether any two neurons … talk to each other.”

The 100,000-neuron fruit fly brain is elementary compared with the roughly 100 billion neurons in our own skulls. But the fly is still “much more than this little speck that you swat away from your wine glass over dinner,” says Davi Bock, a neuroscientist at the Howard Hughes Medical Institute’s Janelia Research Campus in Ashburn, Virginia. Some systems in the fly brain—like those responsible for detecting and remembering smells—likely share “common principles” with those in humans, he says.

Genomic medicine is undergoing rapid change after the Japanese public health insurance system began to cover genetic testing in 2019. Cancer patients who meet certain criteria are able to take these tests for a relatively affordable price, and their genetic information is collected in a massive database and analyzed with the help of around 170 hospitals across the country. But challenges remain, with suitable drugs available for only 10% of patients who undergo testing.

Quantum effects play a hitherto unexpected role in creating instabilities in DNA – the so-called “molecule of life” that provides instructions for cellular processes in all living organisms. This conclusion, based on work by researchers at the University of Surrey in the UK, goes against long-held beliefs that quantum behaviour is not relevant in the wet, warm environment of cells, and could have far-reaching consequences for models of genetic mutation.

The two strands of the DNA double helix are linked together by hydrogen bonds between the DNA bases. There are typically four different bases, called Guanine (G), Cytosine ©, Adenine (A) and Thymine (T). In the standard configuration, A always bonds to T while C always bonds to G. However, if the protons (nuclei of the hydrogen atoms) that make up the bonds hop from one strand of DNA to the other then a genetic mutation can occur.

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A recent review published in the Journal of Autoimmunity discussed the applications of single-cell ribonucleic acid sequencing (scRNA-seq) in understanding autoimmune disorders.

The review comprehensively covered the principles, procedures, and sequencing platforms used in scRNA-seq, and explored its use in understanding the mechanisms of nine systemic and 32 organ-specific autoimmune and autoinflammatory diseases.

Autoimmune diseases (AID) are a complex phenomenon involving various types of cells. The diseases occur when the body’s immune system fails to recognize its cells and components and launches an immune response against them. Autoimmune diseases are broadly divided into organ-specific and non-organ-specific AID.

*Intelligence Beyond the Brain: morphogenesis as an example of the scaling of basal cognition*

*Description:*
Each of us takes the remarkable journey from physics to mind: we start life as a quiescent oocyte (collection of chemical reactions) and slowly change and acquire an advanced, centralized mind. How does unified complex cognition emerge from the collective intelligence of cells? In this talk, I will use morphogenesis to illustrate how evolution scales cognition across problem spaces. Embryos and regenerating organs produce very complex, robust anatomical structures and stop growth and remodeling when those structures are complete. One of the most remarkable things about morphogenesis is that it is not simply a feed-forward emergent process, but one that has massive plasticity: even when disrupted by manipulations such as damage or changing the sizes of cells, the system often manages to achieve its morphogenetic goal. How do cell collectives know what to build and when to stop? Constructing and repairing anatomies in novel circumstances is a remarkable example of the collective intelligence of a biological swarm. I propose that a multi-scale competency architecture is how evolution exploits physics to achieve robust machines that solve novel problems. I will describe what is known about developmental bioelectricity — a precursor to neurobiology which is used for cognitive binding in biological collectives, that scales their intelligence and the size of the goals they can pursue. I will also discuss the cognitive light cone model, and conclude with examples of synthetic living machines — a new biorobotics platform that uses some of these ideas to build novel primitive intelligences. I will end by speculating about ethics, engineering, and life in a future that integrates deeply across biological and synthetic agents.