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    Tomsk Scientific Center, Siberian Branch of Academy of Sciences was established in December 1978

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    Russian and international conferences are organized by Tomsk Scientific Center

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    The Tomsk Regional Center for Collective Use of TSC SB RAS is conducting atmospheric research, physical and chemical analysis, radio measurements, research in materials science, spectroscopy and oscillography

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    From the air

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    The LeCroy Wave Master 830Zi-A real-time digital oscilloscope is placed in an anechoic chamber. It is designed to measure the amplitude and time parameters of pulsed signals with high temporal resolution

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    The Research Department for Structural Macrokinetics of TSC SB RAS is measuring the content of oxygen, nitrogen and hydrogen in synthesized samples of nitrides, oxynitrides and steels on the LECO ONH836 analyser

News

  • Tomsk s scientists implement an integrated approach to producing polymer coatings

    6 feb 2023
    Scientists from IHCE (SB RAS), Tomsk State University, and TSC (SB RAS) have laid the foundations for the synthesis of different polymer coatings with unique properties using a low-pressure glow discharge. Such polymers are in demand in medicine, mechanical engineering, and as protective coatings exploited in space and in the harsh conditions of the Arctic. These results were reported in the high-ranking journal Vacuum .

Research news

  • 9-02-2023   Novel control method of aircraft with no tail A research team has demonstrated the use of a novel control method in an aircraft with no tail. The technology allows an aircraft to be as smooth and sleek as possible, making it safer to fly in dangerous areas where radar scans the sky for sharp edges. While conventional aircraft rely on protruding fins to enable steering, a tailless design is controlled by active air flow - in which jets of air are blown onto different surfaces of the aircraft body, corresponding to which direction the aircraft is moving. This technology could be employed to make commercial airplanes more fuel-efficient by removing existing steering parts that create a lot of drag.
  • 9-02-2023   'Game-changing' findings for sustainable hydrogen production Hydrogen fuel could be a more viable alternative to traditional fossil fuels, according to University of Surrey researchers who have found that a type of metal-free catalysts could contribute to the development of cost-effective and sustainable hydrogen production technologies.
  • 9-02-2023   A new ring system discovered in our Solar System Scientists have discovered a new ring system around a dwarf planet on the edge of the Solar System. The ring system orbits much further out than is typical for other ring systems, calling into question current theories of how ring systems are formed.
  • 9-02-2023   Footprints of galactic immigration uncovered in Andromeda galaxy Astronomers have uncovered striking new evidence for a mass migration of stars into the Andromeda Galaxy. Intricate patterns in the motions of stars reveal an immigration history very similar to that of the Milky Way.
  • 8-02-2023   Peptide 3D-printing inks could advance regenerative medicine How do you build complex structures for housing cells using a material as soft as jelly? Researchers have the answer with a new 3D-printing ink.
  • 8-02-2023   Biosensor could lead to new drugs, sensory organs on a chip A synthetic biosensor that mimics properties found in cell membranes and provides an electronic readout of activity could lead to a better understanding of cell biology, development of new drugs, and the creation of sensory organs on a chip capable of detecting chemicals, similar to how noses and tongues work.
  • 8-02-2023   Video game playing causes no harm to young children's cognitive abilities, study finds Despite old fears that bad effects follow excessive video game playing or questionable game choices, researchers found those factors mattered little, if any, in children's brain health. The bad news? Video games assumed to be effective learning tools showed no meaningful effects, either.
  • 8-02-2023   The new prostate cancer blood test with 94 per cent accuracy Researchers have helped develop a new blood test to detect prostate cancer with greater accuracy than current methods. New research shows that the Prostate Screening EpiSwitch (PSE) blood test is 94 per cent accurate - beating the currently used prostate-specific antigen (PSA) blood test. The research team say that the new test shows significant potential as an accurate and rapid cancer screening diagnostic.
  • 8-02-2023   Penguin physics: Understanding the mechanisms of underwater turning maneuvers in penguins Penguins generate centripetal force when turning by pointing their belly inwards and moving their wings asymmetrically. New findings shed light on the previously unknown mechanisms that these birds rely on to perform their underwater turns by a single wingbeat, paving the way to a more comprehensive knowledge of their swimming maneuvers.
  • 8-02-2023   AI can predict the effectiveness of breast cancer chemotherapy Engineers have developed artificial intelligence (AI) technology to predict if women with breast cancer would benefit from chemotherapy prior to surgery.
  • 8-02-2023   AI-Powered FRIDA robot collaborates with humans to create art FRIDA, a robotic arm with a paintbrush taped to it, uses artificial intelligence to collaborate with humans on works of art. Ask FRIDA to paint a picture, and it gets to work putting brush to canvas. The robot uses AI models similar to those powering tools like OpenAI's ChatGPT and DALL-E 2, which generate text or an image, respectively, in response to a prompt. FRIDA simulates how it would paint an image with brush strokes and uses machine learning to evaluate its progress as it works. FRIDA's final products are impressionistic and whimsical. The brushstrokes are bold. They lack the precision sought so often in robotic endeavors. If FRIDA makes a mistake, it riffs on it, incorporating the errant splotch of paint into the end result.
  • 8-02-2023   Solving a machine-learning mystery Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these large language models write smaller linear models inside their hidden layers, which the large models can train to complete a new task using simple learning algorithms.