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Writing in Nature Communications, a team led by Dr. Marcelo Lozada-Hidalgo based at the National Graphene Institute (NGI) used graphene as an electrode to measure both the electrical force applied on water molecules and the rate at which these break in response to such force. The researchers found that water breaks exponentially faster in response to stronger electrical forces.

The researchers believe that this fundamental understanding of interfacial water could be used to design better catalysts to generate from water. This is an important part of the U.K.’s strategy towards achieving a net zero economy. Dr. Marcelo Lozada-Hidalgo said, “We hope that the insights from this work will be of use to various communities, including physics, catalysis, and interfacial science and that it can help design better catalysts for green hydrogen production.”

A water molecule consists of a proton and a hydroxide ion. Dissociating it involves pulling these two constituent ions apart with an electrical force. In principle, the stronger one pulls the water molecule apart, the faster it should break. This important point has not been demonstrated quantitatively in experiments.

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Photons, particles that represent a quantum of light, have shown great potential for the development of new quantum technologies. More specifically, physicists have been exploring the possibility of creating photonic qubits (quantum units of information) that can be transmitted over long distances using photons.

Despite some promising results, several obstacles still need to be overcome before photonic qubits can be successfully implemented on a large-scale. For instance, are known to be susceptible to propagation loss (i.e., a loss of energy, radiation, or signals as it travels from one point to another) and do not interact with one another.

Researchers at University of Copenhagen in Denmark, Instituto de Física Fundamental IFF-CSIC in Spain, and Ruhr-Universität Bochum in Germany have recently devised a strategy that could help to overcome one of these challenges, namely the lack of photon-photon interactions. Their method, presented in a paper published in Nature Physics, could eventually aid the development of more sophisticated quantum devices.

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A four-person crew of astronauts and a cosmonaut arrived at the International Space Station on Thursday, completing a 29-hour trek in a SpaceX capsule that began in Florida.

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As if Elon Musk’s week couldn’t be more eventful, the Tesla (TSLA) CEO gave the automotive world more news to chew on.

In a tweet last night, Musk said Tesla has begun production of its long-awaited electric Tesla Semi truck, and that deliveries to Pepsi (PEP) would begin on December 1st. In a follow-up tweet, Musk said the semi would have 500 miles of range and would be “super fun to drive.”

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Intel Corp.’s two primary research organizations, Intel Labs and Components Research, announced today that they’re making big progress as they work toward large-scale production of quantum computing processors.

At the 2022 Silicon Quantum Electronics Workshop in Orford, Quebec, Intel’s researchers said that they’ve been able to demonstrate the highest reported yield and uniformity rate when manufacturing “silicon spin qubit devices” at the company’s transistor research and development facility. The research is believed to be a key milestone for Intel as it moves toward being able to fabricate quantum computing chips on its existing transistor manufacturing processes.

Intel is a key player in the race to build quantum computers, which are more advanced machines that encode data as “qubits,” as opposed to the conventional bits used in traditional computers. The advantage of qubits is they’re not restricted to states of 1 or 0. They can also exist as both states at the same time, a characteristic that’s known as superposition.

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NIH researchers reveal new insights on how genetic architecture determines gene expression, tissue-specific function, and disease phenotype in blinding diseases.

National Eye Institute (NEI) scientists have mapped the organization of human retinal cell chromatin. These are the fibers that package 3 billion nucleotide-long DNA

DNA, or deoxyribonucleic acid, is a molecule composed of two long strands of nucleotides that coil around each other to form a double helix. It is the hereditary material in humans and almost all other organisms that carries genetic instructions for development, functioning, growth, and reproduction. Nearly every cell in a person’s body has the same DNA. Most DNA is located in the cell nucleus (where it is called nuclear DNA), but a small amount of DNA can also be found in the mitochondria (where it is called mitochondrial DNA or mtDNA).

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Editing technology is precise and broadly applicable to all tissues and species.

Scientists at Duke University have developed an RNA

Ribonucleic acid (RNA) is a polymeric molecule similar to DNA that is essential in various biological roles in coding, decoding, regulation and expression of genes. Both are nucleic acids, but unlike DNA, RNA is single-stranded. An RNA strand has a backbone made of alternating sugar (ribose) and phosphate groups. Attached to each sugar is one of four bases—adenine (A), uracil (U), cytosine ©, or guanine (G). Different types of RNA exist in the cell: messenger RNA (mRNA), ribosomal RNA (rRNA), and transfer RNA (tRNA).

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No one imaging mode can catch everything that’s going on inside the brain, since it is such a complex organ. Multiple “brain maps” have emerged over the years, with each focusing on different brain processes, from metabolism to cognitive function. These maps are indeed important, but using them in isolation limits the discoveries scientists can make from them.

More than forty existing brain maps have now been collected in one place by a team from The Neuro. Called neuromaps, the database will help researchers find correlations between patterns across different brain regions, modalities, spatial scales, and brain functions. To assist researchers in differentiating between a relevant association and a random pattern, it offers a standardized space to see each map in comparison to one another and evaluates the statistical significance of these comparisons. Additionally, the neuromaps database helps standardize the code across maps, to improve reproducibility of results.

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