Ecological plasticity and adaptive potential of annual form of white sweet clover (Melilotus albus Medik)

The ecological plasticity, stability, and adaptive potential of varieties and promising genetic lines of the annual form of white sweet clover were assessed. The studies were carried out in 2016-2020 in Volga Scientific Research Institute of Selection and Seed-Growing named after P.N. Konstantinov, Samara Federal Research Scientific Center, Russian Academy of Sciences. According to the parameters of ecological plasticity and stability, the studied varieties and genetic lines were differentiated into groups according to their response to the changes in environmental conditions. Most of studied varieties belonged to highly plastic genotypes; varieties Srednevolzhsky, Kinelsky, Zavolzhsky, and genetic line Hugh 0 were characterized by the highest stability under the conditions of the Samara Trans-Volga Region. Varieties Srednevolzhsky, Kinelsky, Zavolzhsky, and genetic lines Hugh 0, Hugh 40 and Indus 1 were highly resistant to unfavorable environmental factors. All the studied genetic lines and varieties are characterized by high selective value and thus may be used as a starting material for developing of new varieties of the annual form of white sweet clover

Stages of routing of patients with the skin melanoma in Sverdlovsk region

The real research is devoted to the analysis of delivery of health care to patients with a melanoma of skin and assessment of staging of routing in Sverdlovsk region during the period from 2015 to 2017.В статье представлен анализ оказания медицинской помощи пациентам с меланомой кожи и оценка этапности маршрутизации в Свердловской области в период с 2015 г. по 2017 г

Tunka Advanced Instrument for cosmic rays and Gamma Astronomy

The paper is a script of a lecture given at the ISAPP-Baikal summer school in 2018. The lecture gives an overview of the Tunka Advanced Instrument for cosmic rays and Gamma Astronomy (TAIGA) facility including historical introduction, description of existing and future setups, and outreach and open data activities.Comment: Lectures given at the ISAPP-Baikal Summer School 2018: Exploring the Universe through multiple messengers, 12-21 July 2018, Bol'shie Koty, Russi

A comparison of the cosmic-ray energy scales of Tunka-133 and KASCADE-Grande via their radio extensions Tunka-Rex and LOPES

The radio technique is a promising method for detection of cosmic-ray air showers of energies around $100\,$PeV and higher with an array of radio antennas. Since the amplitude of the radio signal can be measured absolutely and increases with the shower energy, radio measurements can be used to determine the air-shower energy on an absolute scale. We show that calibrated measurements of radio detectors operated in coincidence with host experiments measuring air showers based on other techniques can be used for comparing the energy scales of these host experiments. Using two approaches, first via direct amplitude measurements, and second via comparison of measurements with air shower simulations, we compare the energy scales of the air-shower experiments Tunka-133 and KASCADE-Grande, using their radio extensions, Tunka-Rex and LOPES, respectively. Due to the consistent amplitude calibration for Tunka-Rex and LOPES achieved by using the same reference source, this comparison reaches an accuracy of approximately $10\,\%$ - limited by some shortcomings of LOPES, which was a prototype experiment for the digital radio technique for air showers. In particular we show that the energy scales of cosmic-ray measurements by the independently calibrated experiments KASCADE-Grande and Tunka-133 are consistent with each other on this level

Tunka-Rex Virtual Observatory

Tunka-Rex (Tunka Radio Extension) was a detector for ultra-high energy cosmic rays measuring radio emission for air showers in the frequency band of 30-80 MHz, operating in 2010s. It provided an experimental proof that sparse radio arrays can be a cost-effective technique to measure the depth of shower maximum with resolutions competitive to optical detectors. After the decommissioning of Tunka-Rex, as last phase of its lifecycle and following the FAIR (Findability — Accessibility — Interoperability — Reuse) principles, we publish the data and software under free licenses in the frame of the TRVO (Tunka-Rex Virtual Observatory), which is hosted at KIT under the partnership with the KCDC and GRADLCI projects. We present the main features of TRVO, its interface and give an overview of projects, which benefit from its open software and data

Reconstruction of sub-threshold events of cosmic-ray radio detectors using an autoencoder

Radio detection of air showers produced by ultra-high energy cosmic rays is a cost-effective technique for the next generation of sparse arrays. The performance of this technique strongly depends on the environmental background, which has different constituents, namely anthropogenic radio frequency interferences, synchrotron galactic radiation and others. These components have recognizable features, which can help for background suppression. A powerful method for handling this is the application of convolution neural networks with a specific architecture called autoencoder. By suppressing unwanted signatures, the autoencoder keeps the signal-like ones. We have successfully developed and trained an autoencoder, which is now applied to the data from Tunka-Rex. We show the procedures of the training and optimization of the network including benchmarks of different architectures. Using the autoencoder, we improved the standard analysis of Tunka-Rex in order to lower the threshold of the detection. This enables the reconstructing of sub-threshold events with energies lower than 0.1 EeV with satisfactory angular and energy resolutions