Lifeboat Foundation

DNA is the basis of life on earth. The function of DNA is to store all the genetic information an organism needs to develop, function and reproduce. It is essentially a biological instruction manual found in every cell. Biochemists at the University of Münster have now developed a strategy for controlling the biological functions of DNA with the aid of light. This enables researchers to better understand and control the processes that take place in the cell—for example, epigenetics, the key chemical change and regulatory lever in DNA. The results have been published in the journal Angewandte Chemie.

The cell’s functions depend on enzymes. Enzymes are proteins that carry out chemical reactions in the cell. They help to synthesize metabolic products, make copies of the DNA molecules, convert energy for the cell’s activities, change DNA epigenetically and break down certain molecules. A team of researchers headed by Prof. Andrea Rentmeister from the Institute of Biochemistry at the University of Münster used a so-called enzymatic cascade reaction to understand and track these functions better. This sequence of successive reaction steps involving different enzymes makes it possible to transfer so-called photocaging groups—chemical groups that can be removed by means of irradiation with light—to DNA. Previously, studies had shown that only small residues (small modifications such as methyl groups) could be transferred selectively to DNA, RNA (ribonucleic acid) or proteins.

“As a result of our work, it is now possible to transfer larger residues or modifications such as the photocaging groups just mentioned,” explains Nils Klöcker, one of the lead authors of the study and a Ph.D. student at the Institute of Biochemistry. Working together with structural biologist Prof. Daniel Kümmel, who also works at the Institute of Biochemistry, it was also possible to explain the basis for the changed activity at a molecular level.

New scientific results confirm an anomaly seen in previous experiments, which may point to an as-yet-unconfirmed new elementary particle, the sterile neutrino, or indicate the need for a new interpretation of an aspect of standard model physics, such as the neutrino cross section, first measured 60 years ago. Los Alamos National Laboratory is the lead American institution collaborating on the Baksan Experiment on Sterile Transitions (BEST) experiment, results of which were recently published in the journals Physical Review Letters and Physical Review C.

“The results are very exciting,” said Steve Elliott, lead analyst of one of the teams evaluating the data and a member of the Los Alamos Physics division. “This definitely reaffirms the anomaly we’ve seen in previous experiments. But what this means is not obvious. There are now conflicting results about sterile neutrinos. If the results indicate fundamental nuclear or atomic physics are misunderstood, that would be very interesting, too.” Other members of the Los Alamos team include Ralph Massarczyk and Inwook Kim.

More than a mile underground in the Baksan Neutrino Observatory in Russia’s Caucasus Mountains, BEST used 26 irradiated disks of chromium 51, a synthetic radioisotope of chromium and the 3.4 megacurie source of electron neutrinos, to irradiate an inner and outer tank of gallium, a soft, silvery metal also used in previous experiments, though previously in a one-tank set-up. The reaction between the electron neutrinos from the chromium 51 and the gallium produces the isotope germanium 71.

The human middle ear—which houses three tiny, vibrating bones—is key to transporting sound vibrations into the inner ear, where they become nerve impulses that allow us to hear.

Embryonic and fossil evidence proves that the human middle ear evolved from the spiracle of fishes. However, the origin of the vertebrate spiracle has long been an unsolved mystery in vertebrate evolution.

Some 20th century researchers, believing that early vertebrates must possess a complete spiracular gill, searched for one between the mandibular and hyoid arches of early vertebrates. Despite extensive research spanning more than a century, though, none were found in any vertebrate fossils.

After some serious number crunching, a UBC researcher has come up with a mathematical model for a viable time machine.

Ben Tippett, a mathematics and physics instructor at UBC’s Okanagan campus, recently published a study about the feasibility of time travel. Tippett, whose field of expertise is Einstein’s theory of general relativity, studies black holes and science fiction when he’s not teaching. Using math and physics, he has created a formula that describes a method for time travel.

“People think of time travel as something as fiction,” says Tippett. “And we tend to think it’s not possible because we don’t actually do it. But, mathematically, it is possible.”

https://youtube.com/watch?v=V9Id-Ayy12g

Time travel into the past is a tricky thing. We know of no single law of physics that absolutely forbids it, and yet we can’t find a way to do it, and if we could do it, the possibility opens up all sorts of uncomfortable paradoxes (like what would happen if you killed your own grandfather).

But there could be a way to do it. We just need to find a wormhole first.

Continue reading “Can wormholes act like time machines?” »

Oh joy. I’d ask snarkaly what could possibly go wrong, but in this case going right IS going wrong, so… 🤯

Chinese scientists have reportedly developed and tested a device that aims to help online censors better police pornography in the country.

Researchers at Beijing Jiaotong University in China created a helmet that can track the brain waves of its wearers. The scientists published their findings in the domestic peer-reviewed Journal of Electronic Measurement and Instrumentation earlier this month.

Continue reading “Brain wave-scanning helmet developed by scientists to help Chinese censors better detect porn” »

A new technique in computer vision may enhance our 3D understanding of 2D images. It deals with the automatic extraction, and artificial intelligence of various kinds of information from images.

Scientists achieve brain to brain communication between humans.

We need to know whether a gathering individual could work together utilizing just their cerebrums.

New technologies have the potential to greatly simplify the lives of humans, including those of blind individuals. One of the most promising types of tools designed to assist the blind are visual prostheses.

Visual prostheses are medical devices that can be implanted in the brain. These devices could help to restore vision in people affected by different types of blindness. Despite their huge potential, most existing visual prostheses achieved unimpressive results, as the vision they can produce is extremely rudimentary.

A team of researchers a University of California, Santa Barbara recently developed a machine learning model that could significantly enhance the performance of visual prostheses, as well as other sensory neuroprostheses (i.e., devices aimed at restoring lost sensory functions or augmenting human abilities). The model they developed, presented in a paper pre-published on arXiv, is based on the use of a neural autoencoder, a brain-inspired architecture that can discover specific patterns in data and create representations of them.