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Welcome back to our series on Martian colonization! In Part I, we looked at the challenges and benefits of colonization. In Part II, we looked at what it would take to transport people to and from Mars. In Part III, we looked at how people could live there. Today, we will address the question of how people could establish an industrial base there.

If we intend to “go interplanetary” and establish a colony on Mars, we need to know how to address the long-term needs of the colonists. In addition to shelter, air, water, food security, and radiation shielding, the people will need to create an economy of sorts. The question is, what kind of industry would Mars support?

Continue reading “Making the First Martians: Building an Economy on Mars” | >

A 50-year-old science problem has been solved and could allow for dramatic changes in the fight against diseases, researchers say.

For years, scientists have been struggling with the problem of “protein folding” – mapping the three-dimensional shapes of the proteins that are responsible for diseases from cancer to Covid-19.

Continue reading “AI solves 50-year-old science problem in ‘stunning advance’” | >

Researchers at the University of Basel have discovered a molecular mechanism that plays a central role in intact long-term memory. This mechanism is also involved in physiological memory loss in old age.

Many , from worms to humans, have differentiated memory functions, such as short-term and long-term memory. Interestingly, at the cell and molecule level, many of these functions are nearly identical from life form to life form. Detecting the molecules involved in memory processes is of great importance to both basic and , since it can point the way to the development of drugs for memory disorders.

By studying roundworms (Caenorhabditis elegans), scientists at the Transfaculty Research Platform for Molecular and Cognitive Neurosciences (MCN) at the University of Basel have now discovered a of long-term memory that is also involved in memory loss in old age. They report on their findings in the journal Current Biology.

Continue reading “Molecular mechanism of long-term memory discovered” | >

Kewl… ~~~ “Led by Associate Professor Alfredo Franco-Obregón from the NUS Institute for Health Innovation and Technology (iHealthtech), the team found that a protein known as TRPC1 responds to weak oscillating magnetic fields. Such a response is normally activated when the body exercises. This responsiveness to magnets could be used to stimulate muscle recovery, which could improve the life quality for patients with impaired mobility, in an increasingly aging society.”

As people age, they progressively lose muscle mass and strength, and this can lead to frailty and other age-related diseases. As the causes for the decline remain largely unknown, promoting muscle health is an area of great research interest. A recent study led by the researchers from NUS has shown how a molecule found in muscles responds to weak magnetic fields to promote muscle health.

Led by Associate Professor Alfredo Franco-Obregón from the NUS Institute for Health Innovation and Technology (iHealthtech), the team found that a protein known as TRPC1 responds to weak oscillating magnetic fields. Such a response is normally activated when the body exercises. This responsiveness to magnets could be used to stimulate muscle recovery, which could improve the life quality for patients with impaired mobility, in an increasingly aging society.

“The use of pulsed magnetic fields to simulate some of the effects of exercise will greatly benefit patients with muscle injury, stroke, and frailty as a result of advanced age,” said lead researcher Assoc Prof Franco-Obregón, who is also from the NUS Department of Surgery.

Continue reading “Molecule that promotes muscle health when magnetised” | >

Researchers identify Brown-Zak fermions in superlattices made from the carbon sheet.

Researchers at the University of Manchester in the UK have identified a new family of quasiparticles in superlattices made from graphene sandwiched between two slabs of boron nitride. The work is important for fundamental studies of condensed-matter physics and could also lead to the development of improved transistors capable of operating at higher frequencies.

In recent years, physicists and materials scientists have been studying ways to use the weak (van der Waals) coupling between atomically thin layers of different crystals to create new materials in which electronic properties can be manipulated without chemical doping. The most famous example is graphene (a sheet of carbon just one atom thick) encapsulated between another 2D material, hexagonal boron nitride (hBN), which has a similar lattice constant. Since both materials also have similar hexagonal structures, regular moiré patterns (or “superlattices”) form when the two lattices are overlaid.

If the stacked layers of graphene-hBN are then twisted, and the angle between the two materials’ lattices decreases, the size of the superlattice increases. This causes electronic band gaps to develop through the formation of additional Bloch bands in the superlattice’s Brillouin zone (a mathematical construct that describes the fundamental ideas of electronic energy bands). In these Bloch bands, electrons move in a periodic electric potential that matches the lattice and do not interact with one another.

Continue reading “New family of quasiparticles appears in graphene” | >

LONDON — Alphabet-owned DeepMind has developed a piece of artificial intelligence software that can accurately predict the structure that proteins will fold into in a matter of days, solving a 50-year-old “grand challenge” that could pave the way for better understanding of diseases and drug discovery.

Every living cell has thousands of different proteins inside that keep it alive and well. Predicting the shape that a protein will fold into is important because it determines their function and nearly all diseases, including cancer and dementia, are related to how proteins function.

“Proteins are the most beautiful, gorgeous structures and the ability to predict exactly how they fold up is really very, very challenging and has occupied many people over many years,” Professor Dame Janet Thornton from the European Bioinformatics Institute told journalists on a call.

Continue reading “DeepMind solves 50-year-old ‘grand challenge’ with protein folding A.I.” | >