Retrospective Analysis of the Economic Integration Interaction of the Scandinavian Countries in the Second Half of the XX Century

В данной работе исследуются объемы внешнеполитического и внешнеэкономического взаимодействия стран Северной Европы в период после Второй мировой войны, а также развитие их взаимодействия в рамках интеграционной группировки.The author examines the scope of foreign policy and foreign economic cooperation of the Nordic countries in the period after the Second World War, as well as the development of their interaction within the framework of the integration group

Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection

We present a novel approach for vanishing point detection from uncalibrated monocular images. In contrast to state-of-the-art, we make no a priori assumptions about the observed scene. Our method is based on a convolutional neural network (CNN) which does not use natural images, but a Gaussian sphere representation arising from an inverse gnomonic projection of lines detected in an image. This allows us to rely on synthetic data for training, eliminating the need for labelled images. Our method achieves competitive performance on three horizon estimation benchmark datasets. We further highlight some additional use cases for which our vanishing point detection algorithm can be used.Comment: Accepted for publication at German Conference on Pattern Recognition (GCPR) 2017. This research was supported by German Research Foundation DFG within Priority Research Programme 1894 "Volunteered Geographic Information: Interpretation, Visualisation and Social Computing

HoughNet: Integrating Near and Long-Range Evidence for Bottom-Up Object Detection

© 2020, Springer Nature Switzerland AG.This paper presents HoughNet, a one-stage, anchor-free, voting-based, bottom-up object detection method. Inspired by the Generalized Hough Transform, HoughNet determines the presence of an object at a certain location by the sum of the votes cast on that location. Votes are collected from both near and long-distance locations based on a log-polar vote field. Thanks to this voting mechanism, HoughNet is able to integrate both near and long-range, class-conditional evidence for visual recognition, thereby generalizing and enhancing current object detection methodology, which typically relies on only local evidence. On the COCO dataset, HoughNet’s best model achieves 46.4 AP (and 65.1 AP50), performing on par with the state-of-the-art in bottom-up object detection and outperforming most major one-stage and two-stage methods. We further validate the effectiveness of our proposal in another task, namely, “labels to photo” image generation by integrating the voting module of HoughNet to two different GAN models and showing that the accuracy is significantly improved in both cases. Code is available at https://github.com/nerminsamet/houghnet

Development of a Li2MoO4 scintillating bolometer for low background physics

We present the performance of a 33 g Li2MoO4 crystal working as a scintillating bolometer. The crystal was tested for more than 400 h in a dilution refrigerator installed in the underground laboratory of Laboratori Nazionali del Gran Sasso (Italy). This compound shows promising features in the frame of neutron detection, dark matter search (solar axions) and neutrinoless double-beta decay physics. Low temperature scintillating properties were investigated by means of different alpha, beta/gamma and neutron sources, and for the first time the Light Yield for different types of interacting particle is estimated. The detector shows great ability of tagging fast neutron interactions and high intrinsic radiopurity levels (< 90 \muBq/kg for 238-U and < 110 \muBq/kg for 232-Th).Comment: revised versio

Assessment of oil treatment facilities impact on radiation environment in adjacent areas

Upstream and downstream activities result in large environmental emissions of natural radionuclides. Specific activity of radionuclides in soil samples from Tatneft assets was analyzed to evaluate oil treatment facilities impact on radiation pollution of the environment. Reliable identification of radio-geochemical anomalies was achieved through landscape-geochemical zoning and detailed analysis using R statistical software

Interleukin-18 gene polymorphism in pregnancy With premature rupture of membranes: A case-control study

Background. Imbalanced pro- and anti-inflammatory systems can unfavourably condition carrying of pregnancy and provoke gestation complications, such as premature rupture of membranes.Objectives. Assessing the contribution of SNP variants -137G&gt;C (rs187238), -607G&gt;T (rs1946518) and -656A&gt;C (rs5744228) of the IL-18 gene promoter to the incidence of extremely preterm premature rupture of membranes.Methods. A case-control study enrolled 120 pregnant women managed at the Perinatal Centre. The women were divided in two cohorts. The study cohort comprised 80 women with premature rupture of membranes at 22–27 weeks 6 days’ gestation hospitalised in a high-risk pregnancy unit, a control cohort consisted of 40 women with physiological pregnancy at 22–27 weeks 6 days’ gestation following outpatient counselling. The cohorts had comparable obstetric and gynaecological histories. The study exclusion criteria were: multiple gestation, foetal chromosomal anomalies, congenital foetal malformations, pregnancy due to assisted reproduction. Genotyping was performed at positions -137G&gt;C, -607G&gt;T and -656A&gt;C of the IL-18 gene promoter with determining a peripheral blood IL-18 level in cohorts.Results. The premature rupture of membranes cohort had a statistically higher serum interleukin-18 concentration compared to control (p = 0.001). Genotyping of the IL-18 gene promoter revealed a statistically higher rate of homozygous -137G&gt;C mutation (CC genotype) in the premature rupture of membranes cohort at 22–27 weeks 6 days’ term (p &lt;0.001), 67 vs. 27% in control.Conclusion. A homozygous IL-18 -137G&gt;C polymorphic variant associated with elevated blood IL-18 levels is statistically more common in pregnant women having premature rupture of membranes at 22–27 weeks 6 days’ gestation

Re-Identification for Improved People Tracking

Re-identification is usually defined as the problem of deciding whether a person currently in the field of view of a camera has been seen earlier either by that camera or another. However, a different version of the problem arises even when people are seen by multiple cameras with overlapping fields of view. Current tracking algorithms can easily get confused when people come close to each other and merge trajectory fragments into trajectories that include erroneous identity switches. Preventing this means re-identifying people across trajectory fragments. In this chapter, we show that this can be done very effectively by formulating the problem as a minimum-cost maximum-flow linear program. This version of the re-identification problem can be solved in real-time and produces trajectories without identity switches. We demonstrate the power of our approach both in single- and multi-camera setups to track pedestrians, soccer players, and basketball players

Cleaning of aquatic ecosystems from oil new effective sorbent

Is devoted to the production of particles of amorphous silica, the study of the nature of the interaction of the silica nanoparticles with surfactants to the water surface and the assessment of their absorption capacity in relation to petroleum productsРабота посвящена получению частиц аморфного кремнезема, исследованию природы взаимодействия наночастиц кремнезема с поверхностно-активными веществами на водных поверхностях и оценка их адсорбционной способности по отношению к нефтепродукта

Observation of Cosmic Gamma Ray Bursts in the Experiments Onboard Lomonosov and Vernov Satellites

Abstract: The study of cosmic gamma ray bursts (GRBs) is one of the main goals of the Lomonosov space mission. The main advantage of this mission is simultaneous multiwavelength observations of GRBs covering the optical, X-ray and gamma-ray ranges. The mission payload includes the GRB monitor BDRG, wide-field optical cameras SHOK, and the UFFO instrument. Data are recorded mainly by the event trigger provided by the BDRG instrument, which measures the spectral and temporal properties of the burst in the energy range 10–3000 keV. The BDRG instrument also provides estimation of the source coordinates by comparing the readings of three differently directed detectors with an accuracy of several degrees. Wide-field SHOK optical cameras have a field of view of ~20° × 40°. They fix a set of images with a frequency of about five frames per second prior to the trigger and another set immediately after the trigger. The UFFO instrument includes the UBAT telescope with a coded mask for measurements in hard X-ray and soft gamma-ray ranges and an optical telescope with a slewing mirror (SMT) that can be directed on the GRB source for a time ~1 s for measuring GRB prompt emission in the early stages. In response to an BDRG trigger signal, the real-time data on a detected GRB are transmitted to the Earth via Globalstar network to the Gamma-ray Coordinates Network (GCN) and ground-based observatories. During observations on the Lomonosov satellite, 20 gamma-ray bursts were detected and catalogued. Several gamma-ray bursts were also detected in the Vernov satellite experiment. An example of such an event is given.Financial support for this work was provided by the Ministry of Education and Science of the Russian Federation, project no RFMEFI60717X0175