Skolkovo Institute of Science and Technology (skoltech)

Russian Federation

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C12N 15/10 - Processes for the isolation, preparation or purification of DNA or RNA 4
C12N 9/22 - Ribonucleases 4
C12N 15/63 - Introduction of foreign genetic material using vectorsVectorsUse of hosts thereforRegulation of expression 3
C12N 15/11 - DNA or RNA fragmentsModified forms thereof 2
C12N 15/87 - Introduction of foreign genetic material using processes not otherwise provided for, e.g. co-transformation 2
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Found results for  patents

1.

PREDICTING WILDFIRE SPREAD

      
Application Number RU2023050292
Publication Number 2024/136698
Status In Force
Filing Date 2023-12-15
Publication Date 2024-06-27
Owner SKOLKOVO INSTITUTE OF SCIENCE AND TECHNOLOGY (Russia)
Inventor
  • Illarionova, Svetlana Vladimirovna
  • Shadrin, Dmitry Germanovich
  • Gubanov, Fedor Dmitrievich
  • Ignatiev, Vladimir Yurievich
  • Mironenko, Maksim Alekseevich
  • Burnaev, Evgeny Vladimirovich

Abstract

In the predicting the wildfire spread for N days ahead, the data from remotely sensed Earth observation and the open sources data are used to obtain three datasets: coordinates of the fire outbreak; static features of the site for predicting a wildfire; dynamic features of the site for predicting a wildfire. Such three datasets are fed to the input of at least one neural network, which is used to generate a single feature environment. Generated single feature environment is used as a basis to predict the wildfire spread in the site for predicting a wildfire for N days ahead. Provided the predicting the wildfire spread for a given number of days ahead after the fire detection, improving the accuracy of predictions.

IPC Classes  ?

  • G08B 17/00 - Fire alarmsAlarms responsive to explosion
  • G06N 3/02 - Neural networks
  • G06V 10/20 - Image preprocessing
  • G06V 20/13 - Satellite images
  • G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"

2.

PATH PLANNING OVER THREE-DIMENSIONAL TERRAIN

      
Application Number RU2021000410
Publication Number 2023/048588
Status In Force
Filing Date 2021-09-23
Publication Date 2023-03-30
Owner
  • LIMITED LIABILITY COMPANY "TOPCON POSITIONING SYSTEMS" (Russia)
  • THE SKOLKOVO INSTITUTE OF SCIENCE AND TECHNOLOGY (SKOLTECH) (Russia)
Inventor
  • Rapoport, Lev Borisovich
  • Tormagov, Timofey
  • Di Federico, Ivan Giovanni

Abstract

A method for path planning for a machine to traverse an area includes calculating a spline trajectory based on a plurality of control points of a first path. A subset of the plurality of control points having an equal step is selected. A direction of the normal to the spline trajectory for each of the selected points is determined. Control points within the subset that are a solution to a second order cone programming class optimization problem along each normal to the spline trajectory are searched for and the spline trajectory is extended to a border of the area to create a second path adjacent to the first path based on the control points. The optimization problem can minimize the weighted sum of the average curvature at junction points of elementary sections of the spline trajectory and/or the average width overlap of adjacent paths.

IPC Classes  ?

  • G05D 1/02 - Control of position or course in two dimensions
  • G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
  • G01C 21/30 - Map- or contour-matching

3.

METHOD OF LABELLING AND IDENTIFICATION OF GOODS

      
Application Number RU2020000784
Publication Number 2022/146165
Status In Force
Filing Date 2020-12-30
Publication Date 2022-07-07
Owner SKOLKOVO INSTITUTE OF SCIENCE AND TECHNOLOGY (Russia)
Inventor
  • Sukhorukov, Gleb Borisovich
  • Sindeeva, Olga Aleksandrovna
  • Abdurashitov, Arkady Sergeevich
  • Chekanov, Alexander Valentinovich

Abstract

The invention we propose is a polymer -based data storage solution for the identification (marking), tracing, and logistics following of delivery and use of goods where the physical implementation of such solution would be technically possible. Our solution is technically articulated through a thin sheet or film of stable to an environment of use or bio-degradable polymer (including the possibility of being an edible polymer) with periodic or non-periodic indentations or surface-reliefs, which alter its optical thickness, to use it to encode and store the data. The information can be retrieved by analysis of the diffraction pattern formed on a light detector due to laser beam passes through the polymer film or is reflected on it. A polymer thin film is directly embedded (or firmly associated) into the good, in which the technical design of the physical product would allow a laser beam passage.

IPC Classes  ?

  • B42D 25/28 - Information-bearing cards or sheet-like structures characterised by identification or security featuresManufacture thereof characterised by a particular use or purpose for use in medical treatment or therapy
  • B42D 25/30 - Identification or security features, e.g. for preventing forgery
  • B42D 25/435 - Marking by removal of material using electromagnetic radiation, e.g. laser

4.

LABORATORY METHOD OF WATER CONTENT DETERMINATION AND DEVICE FOR IMPLEMENTING SAME

      
Application Number RU2021050016
Publication Number 2021/150147
Status In Force
Filing Date 2021-01-22
Publication Date 2021-07-29
Owner SKOLKOVO INSTITUTE OF SCIENCE AND TECHNOLOGY (Russia)
Inventor
  • Kazak, Ekaterina Sergeevna
  • Kazak, Andrey Vladimirovich

Abstract

The invention relates to water content determination in shale oil-and-gas source rock/hydrocarbon reservoirs of a complex structure. The device consists of a heating chamber in which a pan with a rock sample is placed, the sample pan is sealed with a lid having a thin tube made of a heat-resistant material, with one end of the tube inside the pan cavity while the other end extends out of the heating chamber cavity and into a receiver container arranged in a vessel filled with a coolant. The water content of the sample in the pan is determined by evaporating the water phase, the vapours of which are condensed and collected in a measuring tube, and a volume and/or a mass of the water extracted is measured directly while dividing the total water content into free water content and physically bound water content; wherein the water phase evaporation is conducted by a step-wise heating of the rock sample in a sealed pan to a maximum temperature of 350°C.

IPC Classes  ?

  • G01N 25/56 - Investigating or analysing materials by the use of thermal means by investigating moisture content

5.

NITRATE MARKING METHOD

      
Application Number RU2020050290
Publication Number 2021/133225
Status In Force
Filing Date 2020-10-22
Publication Date 2021-07-01
Owner SKOLKOVO INSTITUTE OF SCIENCE AND TECHNOLOGY (Russia)
Inventor
  • Nasibulin, Albert Galijevich
  • Goldt, Anastasia Evegenievna

Abstract

The invention relates to the field of marking granules of ammonium nitrate produced for industrial purposes with the aim of its subsequent identification. The invention may be used to mark class A nitrate for the rapid identification of the nitrate class and to establish the product manufacturer, batch number, and date of manufacture. The advantage of the resultant marking composition and approach consists in simply and rapidly mixing a marking powder containing a metal-based marking component with previously prepared ammonium nitrate granules in a quantity of 0.001-0.1 wt% of the nitrate granule weight. Owing to the porous structure of the nitrate granules, the marking powder, with a particle size of 0.2 to 2 microns, penetrates into the pores and is retained therein., The composite may additionally contain a magnetic phase based on iron (III) compounds for identifying an explosive substance after explosion.

IPC Classes  ?

  • G01N 33/22 - FuelsExplosives
  • G01N 31/22 - Investigating or analysing non-biological materials by the use of the chemical methods specified in the subgroupsApparatus specially adapted for such methods using chemical indicators
  • C06B 31/28 - Compositions containing an inorganic nitrogen-oxygen salt the salt being ammonium nitrate
  • C01C 1/18 - Nitrates of ammonium

6.

QUANTUM CIRCUIT SIMULATION

      
Application Number RU2019000727
Publication Number 2021/071379
Status In Force
Filing Date 2019-10-11
Publication Date 2021-04-15
Owner
  • HUAWEI TECHNOLOGIES CO., LTD. (China)
  • SKOLKOVO INSTITUTE OF SCIENCE AND TECHNOLOGY (Russia)
Inventor
  • Oseledets, Ivan Valerevich
  • Zotov, Yuriy Alexandrovich
  • Kolmakov, Dmitry Sergeevich

Abstract

The present disclosure provides embodiments for simulating a quantum circuit. In particular, an indication of a subset of input and output qubits of the quantum circuit is received. The indicated subset corresponds to an amplitude tensor of the quantum circuit that is to be determined, wherein the amplitude tensor comprises amplitudes for different combinations of states of the qubits of the indicated subset. Using a tensor network of the quantum circuit and Restricted Maximum Cardinality Search, RMCS, an elimination order of intermediate qubits within the quantum circuit is determined. The amplitude tensor is determined by removing, successively in accordance with the elimination order, that indices of the tensors of the tensor network that correspond to the intermediate qubits from the tensor network.

IPC Classes  ?

  • G06N 10/00 - Quantum computing, i.e. information processing based on quantum-mechanical phenomena
  • G06N 5/00 - Computing arrangements using knowledge-based models

7.

DNA-CUTTING AGENT BASED ON CAS9 PROTEIN FROM THE BACTERIUM PASTEURELLA PNEUMOTROPICA

      
Application Number RU2020050137
Publication Number 2020/251413
Status In Force
Filing Date 2020-06-30
Publication Date 2020-12-17
Owner SKOLKOVO INSTITUTE OF SCIENCE AND TECHNOLOGY (Russia)
Inventor
  • Severinov, Konstantin Viktorovich
  • Shmakov, Sergey Anatolievich
  • Artamonova, Daria Nikolaevna
  • Goryanin, Ignaty Igorevich
  • Musharova, Olga Sergeevna
  • Andreeva, Julia Valerevna
  • Zyubko, Tatiana Igorevna
  • Fedorova, Yana Vitalievna
  • Khodorkovskii, Mikhail Alekseevich
  • Pobegalov, George Evgenevich
  • Arseniev, Anatoliy Nikolaevich
  • Selkova, Polina Anatolevna
  • Vasilieva, Aleksandra Andreevna
  • Artamonova, Tatiana Olegovna
  • Abramova, Marina Viktorovna

Abstract

The present invention describes a novel bacterial nuclease of a CRISPR-Cas9 system from the bacterium P. pneumotropica, as well as the use of said nuclease for creating strictly specific two-strand cuts in a DNA molecule. The present nuclease possesses unusual properties and can be used as an instrument for introducing changes at strictly specified locations in a genomic DNA sequence of single-celled and multi-celled organisms. The invention thus increases the universality of accessible CRISPR-Cas9 systems, making it possible to use Cas9 nuclease from various organisms to cut genomic or plasmid DNA in a large number of specific sites and under various conditions.

IPC Classes  ?

  • C12Q 1/68 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions involving nucleic acids
  • C12N 15/87 - Introduction of foreign genetic material using processes not otherwise provided for, e.g. co-transformation
  • C07K 14/195 - Peptides having more than 20 amino acidsGastrinsSomatostatinsMelanotropinsDerivatives thereof from bacteria

8.

ARTIFICIAL INTELLIGENCE TRAINED WITH OPTICAL MAPPING TO IMPROVE DETECTION OF CARDIAC ARRHYTHMIA SOURCES

      
Application Number RU2020050089
Publication Number 2020/226534
Status In Force
Filing Date 2020-05-06
Publication Date 2020-11-12
Owner
  • SKOLKOVO INSTITUTE OF SCIENCE AND TECHNOLOGY (Russia)
  • OHIO STATE INNOVATION FOUNDATION (USA)
Inventor
  • Fedorov, Vadim Valerievich
  • Hansen, Brian
  • Zolotarev, Alexander Markovich
  • Dylov, Dmitry Vladimirovich
  • Ivanova, Ekaterina Alekseevna
  • Fedorov, Maxim Valerievich

Abstract

Disclosed are various embodiments of methods, components and systems configured to determine a location of a source of cardiac arrhythmia in a patient's heart. In some embodiments, to determine a source location, electrogram signals are acquired from a region of the patients' heart using a first set of electrodes; and then a pre-trained artificial intelligence (AI) model is applied to predict the location of the cardiac arrhythmia source by using the signals. Importantly, pre-training of the AI model comprises acquiring electrogram signals from explanted human hearts, the signals are generated by a second set of electrodes assembled into an electrode array that covers at least a part of the explanted human heart, and acquiring co-registered functional and/or structural imaging data in the part of the explanted human heart covered with the electrode array, wherein the functional and/or structural imaging data provide location of at least one source of cardiac arrhythmia.

IPC Classes  ?

  • G06N 20/00 - Machine learning
  • G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
  • A61B 5/0402 - Electrocardiography, i.e. ECG
  • A61B 8/08 - Clinical applications

9.

ELASTIC STRAIN ENGINEERING OF MATERIALS

      
Application Number RU2018000679
Publication Number 2020/076181
Status In Force
Filing Date 2018-10-12
Publication Date 2020-04-16
Owner
  • MASSACHUSETTS INSTITUTE OF TECHNOLOGY (USA)
  • SKOLKOVO INSTITUTE OF SCIENCE AND TECHNOLOGY (Russia)
  • NANYANG TECHNOLOGICAL UNIVERSITY (Singapore)
Inventor
  • Dao, Ming
  • Li, Ju
  • Shi, Zhe
  • Tsymbalov, Evgenii Alekseevich
  • Shapeev, Alexander Vasilievich
  • Suresh, Subra

Abstract

Methods for training statistical models for the bandgap and energy dispersion of materials as a function of an applied strain, as well as uses of these trained statistical models for elastic strain engineering of materials, are described.

IPC Classes  ?

  • G05B 17/02 - Systems involving the use of models or simulators of said systems electric

10.

CRISPR ENZYMES AND SYSTEMS

      
Document Number 03012607
Status Pending
Filing Date 2016-06-17
Open to Public Date 2016-12-22
Owner
  • THE BROAD INSTITUTE INC. (USA)
  • MASSACHUSETTS INSTITUTE OF TECHNOLOGY (USA)
  • PRESIDENT AND FELLOWS OF HARVARD COLLEGE (USA)
  • RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY (USA)
  • SKOLKOVO INSTITUTE OF SCIENCE AND TECHNOLOGY (SKOLTECH) (Russia)
  • THE UNITED STATES OF AMERICA, AS REPRESENTED BY, THE SECRETARY DEPARTMENT OF HEALTH AND HUMAN SERVICES (USA)
Inventor
  • Koonin, Eugene
  • Zhang, Feng
  • Wolf, Yuri I.
  • Shmakov, Sergey
  • Severinov, Konstantin
  • Semenova, Ekaterina
  • Minakhin, Leonid
  • Makarova, Kira S.
  • Konermann, Silvana
  • Joung, Julia
  • Gootenberg, Jonathan S.
  • Abudayyeh, Omar O.

Abstract

The invention provides for systems, methods, and compositions for targeting nucleic acids. In particular, the invention provides non -naturally occurring or engineered DNA or RNA- targeting systems comprising a novel DNA or RNA-targeting CRISPR effector protein and at least one targeting nucleic acid component like a guide RNA.

IPC Classes  ?

  • C12N 15/113 - Non-coding nucleic acids modulating the expression of genes, e.g. antisense oligonucleotides
  • A01H 5/00 - Angiosperms, i.e. flowering plants, characterised by their plant partsAngiosperms characterised otherwise than by their botanic taxonomy
  • C12N 5/10 - Cells modified by introduction of foreign genetic material, e.g. virus-transformed cells
  • C12N 9/22 - Ribonucleases
  • C12N 15/09 - Recombinant DNA-technology
  • C12N 15/10 - Processes for the isolation, preparation or purification of DNA or RNA
  • C12N 15/11 - DNA or RNA fragmentsModified forms thereof
  • C12N 15/63 - Introduction of foreign genetic material using vectorsVectorsUse of hosts thereforRegulation of expression
  • C12N 15/82 - Vectors or expression systems specially adapted for eukaryotic hosts for plant cells
  • C12N 15/85 - Vectors or expression systems specially adapted for eukaryotic hosts for animal cells
  • C12N 15/87 - Introduction of foreign genetic material using processes not otherwise provided for, e.g. co-transformation
  • C12N 15/90 - Stable introduction of foreign DNA into chromosome

11.

NOVEL CRISPR ENZYMES AND SYSTEMS

      
Document Number 03012631
Status Pending
Filing Date 2016-06-17
Open to Public Date 2016-12-22
Owner
  • THE BROAD INSTITUTE INC. (USA)
  • MASSACHUSETTS INSTITUTE OF TECHNOLOGY (USA)
  • PRESIDENT AND FELLOWS OF HARVARD COLLEGE (USA)
  • RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY (USA)
  • SKOLKOVO INSTITUTE OF SCIENCE AND TECHNOLOGY (SKOLTECH) (Russia)
  • THE UNITED STATES OF AMERICA, AS REPRESENTED BY, THE SECRETARY DEPARTMENT OF HEALTH AND HUMAN SERVICES (USA)
Inventor
  • Severinov, Konstantin
  • Zhang, Feng
  • Wolf, Yuri I.
  • Shmakov, Sergey
  • Semenova, Ekaterina
  • Minakhin, Leonid
  • Makarova, Kira S.
  • Koonin, Eugene
  • Konermann, Silvana
  • Joung, Julia
  • Gootenberg, Jonathan S.
  • Abudayyeh, Omar O.
  • Lander, Eric S.

Abstract

The invention provides for systems, methods, and compositions for targeting nucleic acids. In particular, the invention provides non-naturally occurring or engineered RNA-targeting systems comprising a novel RNA-targeting CRISPR effector protein and at least one targeting nucleic acid component like a guide RNA.

IPC Classes  ?

  • C12N 15/10 - Processes for the isolation, preparation or purification of DNA or RNA
  • C12N 9/22 - Ribonucleases
  • C12N 15/63 - Introduction of foreign genetic material using vectorsVectorsUse of hosts thereforRegulation of expression

12.

NOVEL CRISPR ENZYMES AND SYSTEMS

      
Application Number US2016038238
Publication Number 2016/205749
Status In Force
Filing Date 2016-06-17
Publication Date 2016-12-22
Owner
  • THE BROAD INSTITUTE INC. (USA)
  • MASSACHUSETTS INSTITUE OF TECHNOLOGY (USA)
  • PRESIDENT AND FELLOWS OF HARVARD COLLEGE (USA)
  • RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY (USA)
  • SKOLKOVO INSTITUTE OF SCIENCE AND TECHNOLOGY (SKOLTECH) (Russia)
  • THE UNITED STATES OF AMERICA, as represented by, THE SECRETARY DEPARTMENT OF HEALTH AND HUMAN SERVICES (USA)
Inventor
  • Koonin, Eugene
  • Zhang, Feng
  • Wolf, Yuri, I.
  • Shmakov, Sergey
  • Severinov, Konstantin
  • Semenova, Ekaterina
  • Minakhin, Leonid
  • Makarova, Kira, S.
  • Konermann, Silvana
  • Joung, Julia
  • Gootenberg, Jonathan, S.
  • Abudayyeh, Omar, O.

Abstract

The invention provides for systems, methods, and compositions for targeting nucleic acids. In particular, the invention provides non -naturally occurring or engineered DNA or RNA- targeting systems comprising a novel DNA or RNA-targeting CRISPR effector protein and at least one targeting nucleic acid component like a guide RNA.

IPC Classes  ?

  • C12N 9/22 - Ribonucleases
  • C12N 15/10 - Processes for the isolation, preparation or purification of DNA or RNA
  • C12N 15/11 - DNA or RNA fragmentsModified forms thereof

13.

NOVEL CRISPR ENZYMES AND SYSTEMS

      
Application Number US2016038258
Publication Number 2016/205764
Status In Force
Filing Date 2016-06-17
Publication Date 2016-12-22
Owner
  • THE BROAD INSTITUTE INC. (USA)
  • MASSACHUSETTS INSTITUTE OF TECHNOLOGY (USA)
  • PRESIDENT AND FELLOWS OF HARVARD COLLEGE (USA)
  • RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY (USA)
  • SKOLKOVO INSTITUTE OF SCIENCE AND TECHNOLOGY (SKOLTECH) (Russia)
  • THE UNITED STATES OF AMERICA, as represented by, THE SECRETARY DEPARTMENT OF HEALTH AND HUMAN SERVICES (USA)
Inventor
  • Severinov, Konstantin
  • Zhang, Feng
  • Wolf, Yuri, I.
  • Shmakov, Sergey
  • Semenova, Ekaterina
  • Minakhin, Leonid
  • Makarova, Kira, S.
  • Koonin, Eugene
  • Konermann, Silvana
  • Joung, Julia
  • Gootenberg, Jonathan, S.
  • Abudayyeh, Omar, O.
  • Lander, Eric, S.

Abstract

The invention provides for systems, methods, and compositions for targeting nucleic acids. In particular, the invention provides non-naturally occurring or engineered RNA-targeting systems comprising a novel RNA-targeting CRISPR effector protein and at least one targeting nucleic acid component like a guide RNA.

IPC Classes  ?

  • C12N 15/10 - Processes for the isolation, preparation or purification of DNA or RNA
  • C12N 9/22 - Ribonucleases
  • C12N 15/63 - Introduction of foreign genetic material using vectorsVectorsUse of hosts thereforRegulation of expression