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Article ; Online: Metformin counters oxidative stress and mitigates adverse effects of radiation exposure: An overview.

Karmanova, Ekaterina / Chernikov, Anatoly / Usacheva, Anna / Ivanov, Vladimir / Bruskov, Vadim

2023 Volume 37, Issue 4, Page(s) 713–725

Abstract: Metformin (1,1-dimethylbiguanidine hydrochloride) (MF) is a drug that has long been in use for the treatment of type 2 diabetes mellitus and recently is coming into use in the radiation therapy of cancer and other conditions. Exposure to ionizing ... ...

Abstract	Metformin (1,1-dimethylbiguanidine hydrochloride) (MF) is a drug that has long been in use for the treatment of type 2 diabetes mellitus and recently is coming into use in the radiation therapy of cancer and other conditions. Exposure to ionizing radiation disturbs the redox homeostasis of cells and causes damage to proteins, membranes, and mitochondria, destroying a number of biological processes. After irradiation, MF activates cellular antioxidant and repair systems by signaling to eliminate the harmful consequences of disruption of redox homeostasis. The use of MF in the treatment of the negative effects of irradiation has great potential in medical patients after radiotherapy and in victims of nuclear accidents or radiologic terrorism.
MeSH term(s)	Humans ; Metformin/pharmacology ; Metformin/therapeutic use ; Diabetes Mellitus, Type 2/drug therapy ; Oxidative Stress ; Antioxidants/pharmacology ; Antioxidants/therapeutic use ; Oxidation-Reduction ; Drug-Related Side Effects and Adverse Reactions
Chemical Substances	Metformin (9100L32L2N) ; Antioxidants
Language	English
Publishing date	2023-03-05
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	639134-5
ISSN	1472-8206 ; 0767-3981
ISSN (online)	1472-8206
ISSN	0767-3981
DOI	10.1111/fcp.12884
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Article ; Online: Metformin mitigates radiation toxicity exerting antioxidant and genoprotective properties.

Karmanova, Ekaterina E / Chernikov, Anatoly V / Popova, Nelli R / Sharapov, Mars G / Ivanov, Vladimir E / Bruskov, Vadim I

Naunyn-Schmiedeberg's archives of pharmacology

2023 Volume 396, Issue 10, Page(s) 2449–2460

Abstract: The antidiabetic drug metformin (MF) exhibits redox-modulating effects in various pathologies associated with oxidative stress and mitigates ionizing radiation-induced toxicity, but the underlying mechanisms remain to be elucidated. Thus, we studied some ...

Abstract	The antidiabetic drug metformin (MF) exhibits redox-modulating effects in various pathologies associated with oxidative stress and mitigates ionizing radiation-induced toxicity, but the underlying mechanisms remain to be elucidated. Thus, we studied some radiomitigatory effects of MF and explored the possible mechanisms behind them. Highly sensitive luminescence methods and non-competitive enzyme-linked immunosorbent assay (ELISA) were used in in vitro studies, and in vivo the damage to bone marrow cells and its repair were assessed by the micronucleus test. In a solution, MF at concentrations exceeding 0.1 µM effectively intercepts •OH upon X-ray-irradiation, but does not react directly with H
MeSH term(s)	Mice ; Animals ; Antioxidants/pharmacology ; Metformin/pharmacology ; Hydrogen Peroxide/toxicity ; DNA Damage ; Oxidative Stress
Chemical Substances	Antioxidants ; Metformin (9100L32L2N) ; Hydrogen Peroxide (BBX060AN9V)
Language	English
Publishing date	2023-03-24
Publishing country	Germany
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	121471-8
ISSN	1432-1912 ; 0028-1298
ISSN (online)	1432-1912
ISSN	0028-1298
DOI	10.1007/s00210-023-02466-w
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Book ; Online: SwarmPlay

Karmanova, Ekaterina / Serpiva, Valerii / Perminov, Stepan / Fedoseev, Aleksey / Tsetserukou, Dzmitry

Interactive Tic-tac-toe Board Game with Swarm of Nano-UAVs driven by Reinforcement Learning

2021

Abstract: Reinforcement learning (RL) methods have been actively applied in the field of robotics, allowing the system itself to find a solution for a task otherwise requiring a complex decision-making algorithm. In this paper, we present a novel RL-based Tic-tac- ... ...

Abstract	Reinforcement learning (RL) methods have been actively applied in the field of robotics, allowing the system itself to find a solution for a task otherwise requiring a complex decision-making algorithm. In this paper, we present a novel RL-based Tic-tac-toe scenario, i.e. SwarmPlay, where each playing component is presented by an individual drone that has its own mobility and swarm intelligence to win against a human player. Thus, the combination of challenging swarm strategy and human-drone collaboration aims to make the games with machines tangible and interactive. Although some research on AI for board games already exists, e.g., chess, the SwarmPlay technology has the potential to offer much more engagement and interaction with the user as it proposes a multi-agent swarm instead of a single interactive robot. We explore user's evaluation of RL-based swarm behavior in comparison with the game theory-based behavior. The preliminary user study revealed that participants were highly engaged in the game with drones (70% put a maximum score on the Likert scale) and found it less artificial compared to the regular computer-based systems (80%). The affection of the user's game perception from its outcome was analyzed and put under discussion. User study revealed that SwarmPlay has the potential to be implemented in a wider range of games, significantly improving human-drone interactivity. Comment: Accepted to the 30th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). 2021. IEEE copyright. arXiv admin note: substantial text overlap with arXiv:2108.00488
Keywords	Computer Science - Human-Computer Interaction ; Computer Science - Robotics
Subject code	629
Publishing date	2021-08-03
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: DronePaint

Serpiva, Valerii / Karmanova, Ekaterina / Fedoseev, Aleksey / Perminov, Stepan / Tsetserukou, Dzmitry

Swarm Light Painting with DNN-based Gesture Recognition

2021

Abstract: We propose a novel human-swarm interaction system, allowing the user to directly control a swarm of drones in a complex environment through trajectory drawing with a hand gesture interface based on the DNN-based gesture recognition. The developed CV- ... ...

Abstract	We propose a novel human-swarm interaction system, allowing the user to directly control a swarm of drones in a complex environment through trajectory drawing with a hand gesture interface based on the DNN-based gesture recognition. The developed CV-based system allows the user to control the swarm behavior without additional devices through human gestures and motions in real-time, providing convenient tools to change the swarm's shape and formation. The two types of interaction were proposed and implemented to adjust the swarm hierarchy: trajectory drawing and free-form trajectory generation control. The experimental results revealed a high accuracy of the gesture recognition system (99.75%), allowing the user to achieve relatively high precision of the trajectory drawing (mean error of 5.6 cm in comparison to 3.1 cm by mouse drawing) over the three evaluated trajectory patterns. The proposed system can be potentially applied in complex environment exploration, spray painting using drones, and interactive drone shows, allowing users to create their own art objects by drone swarms. Comment: ACM SIGGRAPH 21. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. arXiv admin note: substantial text overlap with arXiv:2106.14698
Keywords	Computer Science - Robotics
Subject code	629
Publishing date	2021-07-23
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Redox-Active Cerium Fluoride Nanoparticles Selectively Modulate Cellular Response against X-ray Irradiation In Vitro.

Chukavin, Nikita N / Filippova, Kristina O / Ermakov, Artem M / Karmanova, Ekaterina E / Popova, Nelli R / Anikina, Viktoriia A / Ivanova, Olga S / Ivanov, Vladimir K / Popov, Anton L

Biomedicines

2023 Volume 12, Issue 1

Abstract: Ionizing radiation-induced damage in cancer and normal cells leads to apoptosis and cell death, through the intracellular oxidative stress, DNA damage and disorders of their metabolism. Irradiation doses that do not lead to the death of tumor cells can ... ...

Abstract	Ionizing radiation-induced damage in cancer and normal cells leads to apoptosis and cell death, through the intracellular oxidative stress, DNA damage and disorders of their metabolism. Irradiation doses that do not lead to the death of tumor cells can result in the emergence of radioresistant clones of these cells due to the rearrangement of metabolism and the emergence of new mutations, including those in the genes responsible for DNA repair. The search for the substances capable of modulating the functioning of the tumor cell repair system is an urgent task. Here we analyzed the effect of cerium(III) fluoride nanoparticles (CeF
Language	English
Publishing date	2023-12-20
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2720867-9
ISSN	2227-9059
ISSN	2227-9059
DOI	10.3390/biomedicines12010011
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Article ; Online: Metformin prolongs survival rate in mice and causes increased excretion of cell-free DNA in the urine of X-irradiated rats.

Abdullaev, Serazhutdin / Minkabirova, Gulchachak / Karmanova, Ekaterina / Bruskov, Vadim / Gaziev, Azhub

Mutation research. Genetic toxicology and environmental mutagenesis

2018 Volume 831, Page(s) 13–18

Abstract: An antidiabetic drug metformin has anticarcinogenic and geroprotective effects and has been used in combination with radiation cancer therapy. The present work is devoted to the study of the effect of metformin on survival in mice, the frequency of ... ...

Abstract	An antidiabetic drug metformin has anticarcinogenic and geroprotective effects and has been used in combination with radiation cancer therapy. The present work is devoted to the study of the effect of metformin on survival in mice, the frequency of micronuclei in mouse bone marrow cells and excretion of cell-free nuclear and mitochondrial DNA in the urine of X-ray-exposed rats. The survival rate and the frequency of micronuclei in mice and excretion of DNA into rat urine were determined after administration of the drug before and after irradiation of animals. The DNA content was measured by qRT-PCR. Metformin shows a radioprotective effect only when administered to mice after the radiation exposure. On the 11th day after irradiation, we observed 100% mortality in the control group; 78% of mice remained alive if metformin was given. Twenty percent of the mice in this group survived for 30 days after irradiation. Metformin has the same effect on the frequency of micronuclei; its reduction is observed, when the drug is administered to the mice after irradiation. Metformin promotes the excretion of nuclear and mitochondrial DNA with the urine of irradiated rats. The results show that metformin acts as a radiomitigation effector. Metformin promotes the active excretion of DNA of dying cells from the tissues of irradiated animals.
MeSH term(s)	Animals ; Bone Marrow Cells/drug effects ; Bone Marrow Cells/radiation effects ; Cell-Free Nucleic Acids/drug effects ; Cell-Free Nucleic Acids/radiation effects ; Cell-Free Nucleic Acids/urine ; DNA Damage ; Hypoglycemic Agents/pharmacology ; Male ; Metformin/pharmacology ; Mice ; Mice, Inbred BALB C ; Micronuclei, Chromosome-Defective/drug effects ; Micronuclei, Chromosome-Defective/radiation effects ; Radiation-Protective Agents/pharmacology ; Rats ; Rats, Inbred F344 ; Survival Rate
Chemical Substances	Cell-Free Nucleic Acids ; Hypoglycemic Agents ; Radiation-Protective Agents ; Metformin (9100L32L2N)
Language	English
Publishing date	2018-05-05
Publishing country	Netherlands
Document type	Journal Article
ISSN	1879-3592
ISSN (online)	1879-3592
DOI	10.1016/j.mrgentox.2018.05.006
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Book ; Online: SwarmPlay

Karmanova, Ekaterina / Serpiva, Valerii / Perminov, Stepan / Ibrahimov, Roman / Fedoseev, Aleksey / Tsetserukou, Dzmitry

A Swarm of Nano-Quadcopters Playing Tic-tac-toe Board Game against a Human

2021

Abstract: We present a new paradigm of games, i.e. SwarmPlay, where each playing component is presented by an individual drone that has its own mobility and swarm intelligence to win against a human player. The motivation behind the research is to make the games ... ...

Abstract	We present a new paradigm of games, i.e. SwarmPlay, where each playing component is presented by an individual drone that has its own mobility and swarm intelligence to win against a human player. The motivation behind the research is to make the games with machines tangible and interactive. Although some research on the robotic players for board games already exists, e.g., chess, the SwarmPlay technology has the potential to offer much more engagement and interaction with a human as it proposes a multi-agent swarm instead of a single interactive robot. The proposed system consists of a robotic swarm, a workstation, a computer vision (CV), and Game Theory-based algorithms. A novel game algorithm was developed to provide a natural game experience to the user. The preliminary user study revealed that participants were highly engaged in the game with drones (69% put a maximum score on the Likert scale) and found it less artificial compared to the regular computer-based systems (77% put maximum score). The affection of the user's game perception from its outcome was analyzed and put under discussion. User study revealed that SwarmPlay has the potential to be implemented in a wider range of games, significantly improving human-drone interactivity. Comment: ACM SIGGRAPH21. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored
Keywords	Computer Science - Human-Computer Interaction
Subject code	629
Publishing date	2021-08-01
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: DroneTrap

Fedoseev, Aleksey / Serpiva, Valerii / Karmanova, Ekaterina / Cabrera, Miguel Altamirano / Shirokun, Vladimir / Vasilev, Iakov / Savushkin, Stanislav / Tsetserukou, Dzmitry

Drone Catching in Midair by Soft Robotic Hand with Color-Based Force Detection and Hand Gesture Recognition

2021

Abstract: The paper proposes a novel concept of docking drones to make this process as safe and fast as possible. The idea behind the project is that a robot with a soft gripper grasps the drone in midair. The human operator navigates the robotic arm with the ML- ... ...

Abstract	The paper proposes a novel concept of docking drones to make this process as safe and fast as possible. The idea behind the project is that a robot with a soft gripper grasps the drone in midair. The human operator navigates the robotic arm with the ML-based gesture recognition interface. The 3-finger robot hand with soft fingers is equipped with touch sensors, making it possible to achieve safe drone catching and avoid inadvertent damage to the drone's propellers and motors. Additionally, the soft hand is featured with a unique color-based force estimation technology based on a computer vision (CV) system. Moreover, the visual color-changing system makes it easier for the human operator to interpret the applied forces. Without any additional programming, the operator has full real-time control of the robot's motion and task execution by wearing a mocap glove with gesture recognition, which was developed and applied for the high-level control of DroneTrap. The experimental results revealed that the developed color-based force estimation can be applied for rigid object capturing with high precision (95.3\%). The proposed technology can potentially revolutionize the landing and deployment of drones for parcel delivery on uneven ground, structure maintenance and inspection, risque operations, and etc. Comment: Published in: 2021 IEEE 4th International Conference on Soft Robotics (RoboSoft), https://ieeexplore.ieee.org/document/9479353, IEEE copyright, "(c) 20XX IEEE.", 7 pages, 15 figures
Keywords	Computer Science - Robotics
Subject code	629
Publishing date	2021-02-07
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Multi-sensor large-scale dataset for multi-view 3D reconstruction

Voynov, Oleg / Bobrovskikh, Gleb / Karpyshev, Pavel / Galochkin, Saveliy / Ardelean, Andrei-Timotei / Bozhenko, Arseniy / Karmanova, Ekaterina / Kopanev, Pavel / Labutin-Rymsho, Yaroslav / Rakhimov, Ruslan / Safin, Aleksandr / Serpiva, Valerii / Artemov, Alexey / Burnaev, Evgeny / Tsetserukou, Dzmitry / Zorin, Denis

2022

Abstract: We present a new multi-sensor dataset for multi-view 3D surface reconstruction. It includes registered RGB and depth data from sensors of different resolutions and modalities: smartphones, Intel RealSense, Microsoft Kinect, industrial cameras, and ... ...

Abstract	We present a new multi-sensor dataset for multi-view 3D surface reconstruction. It includes registered RGB and depth data from sensors of different resolutions and modalities: smartphones, Intel RealSense, Microsoft Kinect, industrial cameras, and structured-light scanner. The scenes are selected to emphasize a diverse set of material properties challenging for existing algorithms. We provide around 1.4 million images of 107 different scenes acquired from 100 viewing directions under 14 lighting conditions. We expect our dataset will be useful for evaluation and training of 3D reconstruction algorithms and for related tasks. The dataset is available at skoltech3d.appliedai.tech. Comment: v4: final camera-ready version
Keywords	Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning
Publishing date	2022-03-11
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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