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Second-wave COVID mortality dropped markedly in (most) wealthier zones

Mathematical analysis of COVID mortality rates in the US and Europe shows that second-wave mortality was often greatly reduced - particularly in wealthier European countries and the northeast of the US.

Catching electrons in action in an antiferromagnetic nanowire

 E-Mail IMAGE: A diagram of a nanowire cross-section shows the interaction between atoms in the nanowire core. Yellow atoms: germanium; red atoms: chromium; purple atoms around the outside of the yellow-red connections:. view more  Credit: Ranjit Pati/Michigan Tech The electron is one of the fundamental particles in nature we read about in school. Its behavior holds clues to new ways to store digital data. In a study published in Nano Letters, physicists from Michigan Technological University explore alternative materials to improve capacity and shrink the size of digital data storage technologies. Ranjit Pati, professor of physics at Michigan Tech, led the study and explains the physics behind his team s new nanowire design.

New AI tool can revolutionise microscopy

 E-Mail IMAGE: The image shows how a neural network is used to retrieve interesting information from a microscope image. Illustration: Aykut Argun view more  Credit: Illustration: Aykut Argun An AI tool developed at the University of Gothenburg offers new opportunities for analysing images taken with microscopes. A study shows that the tool, which has already received international recognition, can fundamentally change microscopy and pave the way for new discoveries and areas of use within both research and industry. The focus of the study is deep learning, a type of artificial intelligence (AI) and machine learning that we all interact with daily, often without thinking about it. For example when a new song on Spotify pops up that is similar to songs we have previously listened to or when our mobile phone camera automatically finds the best settings and corrects colours in a photo.

A computational guide to lead cells down desired differentiation paths

 E-Mail IMAGE: The collaborative team successfully used their computer-guided design tool IRENE to reconstruct the gene regulatory network controlling the identity of induced pluripotent stem cells (iPSCs). view more  Credit: Wyss Institute at Harvard University (BOSTON) There is a great need to generate various types of cells for use in new therapies to replace tissues that are lost due to disease or injuries, or for studies outside the human body to improve our understanding of how organs and tissues function in health and disease. Many of these efforts start with human induced pluripotent stem cells (iPSCs) that, in theory, have the capacity to differentiate into virtually any cell type in the right culture conditions. The 2012 Nobel Prize awarded to Shinya Yamanaka recognized his discovery of a strategy that can reprogram adult cells to become iPSCs by providing them with a defined set of gene-regulatory transcription factors (TFs). However, progressing from there

Cutting-edge scale-out technology from Toshiba will take Fintech and Logistics to new level

 E-Mail IMAGE: (a) Scale-out approach: improve computing performance by increasing the numbers of computing chips; (b) All-to-all connection type combinatorial optimization problems: all variables interact with each other. view more  Credit: Toshiba Corporation TOKYO - Toshiba Corporation (TOKYO: 6502), the industry leader in solutions for large-scale optimization problems, today announced a scale-out technology that minimizes hardware limitations, an evolution of its optimization computer, the Simulation Bifurcation Machine (SBM), that supports continued increases in computing speed and scale. Toshiba expects the new SBM to be a game changer for real-world problems that require large-scale, high-speed and low-latency, such as simultaneous financial transactions involving large numbers of stock, and complex control of multiple robots. The research results were published in

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