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Researchers develop new model to assess infection risks for supermarket customers

Researchers develop new model to assess infection risks for supermarket customers A Skoltech team has developed a model for assessing infection risks for supermarket customers. The researchers believe that their model will help formulate scientifically backed rules for safe shopping during the pandemic. The paper was published in PLOS One. The team included professor Maxim Fedorov, who serves as Skoltechs Vice President for Artificial Intelligence and Mathematical Modeling, and a research grou...
Maxim Fedorov Alexey Tsukanov Emily Henderson Paper Co Skoltech Center Vice President

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Artificial Intelligence and drones will help pin down Sosnovsky's hogweed

 E-Mail IMAGE: The input image (left) and the output image (right), processed by the fully convolutional neural network view more  Credit: Skoltech Skoltech scientists have created a new monitoring system for agricultural applications that performs real-time image segmentation on board the drone to identify hogweed. The research was published in a high-profile journal, IEEE Transactions on Computers. Sosnovskys hogweed is equally hazardous for farming, local ecosystems, and human healt...
Viktor Prutyanov Dmitry Shadrin Evgeny Tsykunov Andrey Somov Alexander Menshchikov Daniil Lopatkin

Next-generation database will democratize access to massive amounts of turbulence data

Next-generation database will democratize access to massive amounts of turbulence data The project will provide access to and the manageable download of more than 2.5 million gigabytes of data for modeling turbulent flows Credit: Getty Images April 30, 2021 Led by Johns Hopkins University, a team of 10 researchers from three institutions is using a new $4 million, five-year grant from the National Science Foundation to create a next-generation turbulence database that will enable groundbrea...
Charles Meneveau Gregory Eyink Peter Sullivan Caroline Swartzpublished Alex Szalay Edward Patton
Source: jhu.edu

Study reveals molecular mechanisms of drug resistance in Mycobacterium tuberculosis

Study reveals molecular mechanisms of drug resistance in Mycobacterium tuberculosis A consortium of researchers from Russia, Belarus, Japan, Germany and France led by a Skoltech scientist have uncovered the way in which Mycobacterium tuberculosis survives in iron-deficient conditions by utilizing rubredoxin B, a protein from a rubredoxin family that play an important role in adaptation to changing environmental conditions. The new study is part of an effort to study the role of M. tuberculosis...
Natallia Strushkevich Emily Henderson World Health Organization Skoltech Center Assistant Professor Data Intensive Science

Mass Spectrometry Helps Identify Molecular Composition of Meteorites

Mass Spectrometry Helps Identify Molecular Composition of Meteorites Written by AZoOpticsApr 6 2021 In an effort to find the origin of carbonaceous chondrites—the insoluble organic matter constituting the Murchison and Allende meteorites—researchers from Russia and Germany investigated their molecular composition. Сarbonaceous chondrite and its sulfur chemistry. Image Credit: Skoltech. Using ultra-high resolution mass spectrometry, the team unraveled an extensive diversity of chemical comp...
Oleg Kharybin Alexander Zherebker Yury Kostyukevich Evgeny Nikolaev Alexey Kononikhin Head Of The Mass Spectrometry Laboratory

Skoltech team used mass spectrometry to study composition of meteorites

Credit: Skoltech Scientists from Russia and Germany studied the molecular composition of carbonaceous chondrites - the insoluble organic matter of the Murchison and Allende meteorites - in an attempt to identify their origin. Ultra-high resolution mass spectrometry revealed a wide diversity of chemical compositions and unexpected similarities between meteorites from different groups. The research was published in the Scientific Reports. Carbonaceous chondrites contain nearly the entire spectru...
Oleg Kharybin Alexander Zherebker Yury Kostyukevich Evgeny Nikolaev Alexey Kononikhin Massachusetts Institute Of Technology

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