Workers and Peasant’s Red Army Berlin Offensive Operation (1945): Problem of Historiography

The article deals with the historiography of Berlin Offensive Operation, the authors examined the works of the Soviet and modern periods. The article brings in the competitive analysis of the domestic historiography of different periods, including the works of the foreign authors, singles out its core features

Hard-deadline Constrained Workflows Scheduling Using Metaheuristic Algorithms

AbstractAn efficient scheduling is the essential part of complex scientific applications processing in computational distributed environments. The computational complexity comes as from environment heterogeneity as from the application structure that usually is represented as a workflow which contains different linked tasks. A lot of well-known techniques were proposed by different scientific groups. The most popular of them are based on greedy list-based heuristics or evolutionary metaheuristics. In this paper we investigate the applicability of previously developed metaheuristic algorithm – coevolutional genetic algorithm (CGA) for scheduling series of workflows with hard deadlines constraints

Building City-Scale Walking Itineraries Using Large Geospatial Datasets

Nowadays, social networks play an important role in many aspects of people’s life and in traveling in particular. People share their experience and opinions not only on specialized sites, like TripAdvisor, but also in social networks, e.g. Instagram. Combining information from different sources we can get a manifold dataset, which covers main sights, famous buildings as well as places popular with city residents. In this paper, we propose method for generation of walking tours based on large multi-source dataset. In order to create this dataset, we developed data crawling framework, which is able to collect data from Instagram at high speed. We provide several use cases for the developed itinerary generation method and demonstrate that it can significantly enrich standard touristic paths provided by official site

Forecasting of the Urban Area State Using Convolutional Neural Networks

Active development of modern cities requires not only efficient monitoring systems but furthermore forecasting systems that can predict future state of the urban area with high accuracy. In this work we present a method for urban area prediction based on geospatial activity of users in social network. One of the most popular social networks, Instagram, was taken as a source for spatial data and two large cities with different peculiarities of online activity – New York City, USA, and Saint Petersburg, Russia – were taken as target cities. We propose three different deep learning architectures that are able to solve a target problem and show that convolutional neural network based on three-dimensional convolution layers provides the best results with accuracy of 99%

Polarization lidars with conical scanning for retrieving the microphysical characteristics of cirrus clouds

The paper presents the first results of observations of cirrus clouds by polarization lidars with conical scanning, which were developed in Hefei (China) and in Tomsk (Russia). The light scattering matrix of ice crystal particles of cirrus clouds has been calculated for the first by the authors within the framework of the physical optics approximations in the case of conical scanning lidar. It is found that in this case the Mueller matrix consists of ten non-zero elements, four of which are small and can’t be applied to interpret the azimuthal distribution of particle orientation. All the diagonal elements have a strong azimuthal dependence. Among the off-diagonal elements only one element M34 carries additional information for interpreting the azimuthal distribution. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only

Metabolic and crystal arthropathies: 112. Rapid Improvement in Health-Related Quality of Life in Gouty Arthritis Patients Treated with Canakinumab (ACZ885) Compared to Triamcinolone Acetonide

Background: Canakinumab, a fully human anti-IL-1β antibody has been shown to control inflammation in gouty arthritis. This study evaluated changes in health-related quality of life (HRQoL) in patients treated with canakinumab or triamcinolone acetonide (TA). Methods: An 8-wk, dose-ranging, active controlled, single-blind study in patients (≥18 to ≤80 years) with acute gouty arthritis flare, refractory to or contraindicated to NSAlDs and/or colchicine, were randomized to canakinumab 10, 25, 50, 90, 150 mg sc or TA 40 mg im. HRQoL was assessed using patient reported outcomes evaluating PCS and MCS, and subscale scores of SF-36® [acute version 2]) and functional disability (HAQ-DI©). Results: In canakinumab 150 mg group, the most severe impairment at baseline was reported for physical functioning and bodily pain; levels of 41.5 and 36.0, respectively, which improved in 7 days to 80.0 and 72.2 (mean increases of 39.0 and 35.6) and at 8 wks improved to 86.1 and 86.6 (mean increases of 44.6 and 50.6); these were higher than levels seen in the general US population. TA group, showed less improvement in 7 days (mean increases of 23.3 and 21.3 for physical function and bodily pain). Functional disability scores, measured by the HAQ-DI© decreased in both treatment groups (Table 1). Conclusions: Gouty arthritis patients treated with canakinumab showed a rapid improvement in physical and mental well-being based on SF-36® scores. In contrast to the TA group, patients treated with canakinumab showed improvement in 7 days in physical function and bodily pain approaching levels of the general population. Disclosure statement: U.A., A.F., V.M., D.R., P.S. and K.S. are employees and shareholders of Novartis Pharma AG. A.P. has received research support from Novartis Pharma AG. N.S. has received research support and consultancy fees from Novartis Pharmaceuticals Corporation, has served on advisory boards for Novartis, Takeda, Savient, URL Pharma and EnzymeRx, and is/has been a member of a speakers' bureau for Takeda. A.S. has received consultation fees from Novartis Pharma AG, Abbott, Bristol-Myers Squibb, Essex, Pfizer, MSD, Roche, UCB and Wyeth. All other authors have declared no conflicts of interes

Orienteering Problem with Functional Profits for multi-source dynamic path construction.

Orienteering problem (OP) is a routing problem, where the aim is to generate a path through set of nodes, which would maximize total score and would not exceed the budget. In this paper, we present an extension of classic OP-Orienteering Problem with Functional Profits (OPFP), where the score of a specific point depends on its characteristics, position in the route, and other points in the route. For solving OPFP, we developed an open-source framework for solving orienteering problems, which utilizes four core components of OP in its modular architecture. Fully-written in Go programming language our framework can be extended for solving different types of tasks with different algorithms; this was demonstrated by implementation of two popular algorithms for OP solving-Ant Colony Optimization and Recursive Greedy Algorithm. Computational efficiency of the framework was shown through solving four well-known OP types: classic Orienteering Problem (OP), Orienteering Problem with Compulsory Vertices (OPCV), Orienteering Problem with Time Windows (OPTW), and Time Dependent Orienteering Problem (TDOP) along with OPFP. Experiments were conducted on a large multi-source dataset for Saint Petersburg, Russia, containing data from Instagram, TripAdvisor, Foursquare and official touristic website. Our framework is able to construct touristic paths for different OP types within few seconds using dataset with thousands of points of interest

Calculation of Sustainability Indicators for Water Objects based on the Example of Water Use in the Arctic Basin of the Yenisei River

In the article, the fractal approach to the description of nonequilibrium water ecosystems in their exploitation conditions is considered. The article demonstrates clearly that, in these conditions, the management of the development of water objects should be a precautionary provision, which should furthermore be reduced to the management of potential anthropogenic risks arising from a violation of the coevolution of anthropogenic and natural processes equivalent to the disruption in sustainability of the ecosystem in its exploitation conditions. The fractal approach opens up new opportunities for the assessment of water management based on the calculation of the fractal sustainability indicator (anthropogenic transformation) for water ecosystems that is directly related to the maximum permissible environmental load (MPEL)

IgA Antiphospholipid Antibodies in Antiphospholipid Syndrome and Systemic Lupus Erythematosus

Objective: To define the role of IgA antibodies to cardiolipin (aCL) and IgA antibodies to beta-2 glycoprotein 1 (anti-β2-GP1) in the development of vascular complications in patients with antiphospholipid syndrome (APS) and systemic lupus erythematosus (SLE). Material and methods: A total of 187 patients with one of the following diagnoses: primary APS (PAPS), probable APS, SLE with APS, and SLE without APS. The comparison group consisted of 49 patients with other rheumatic diseases (RD), the control group included 100 relatively healthy individuals (without RD, oncological pathology, and infectious diseases). All patients underwent standard clinical, laboratory, and instrumental examinations before being included in the study and during follow-up. The aPL study included the determination of IgG/IgM aCL, IgG/IgM anti-β2-GP1 by enzyme-linked immunosorbent assay (ELISA), IgG/IgM/IgA aCL, IgG/IgM/IgA anti-β2-GP1 by chemiluminescence analysis (CLA), and lupus anticoagulant (LA). Results: IgA aCL were detected in 75 (40%) of the 187 patients with APS and SLE, in none of the comparison group, and in 2 (2%) of the control one. IgA anti-β2-GP1 were detected in 63 (34%) of the 187 patients with APS and SLE, in none of the patients in the comparison group, and in one (1%) of the control group. The prevalence of IgA aCL and IgA anti-β2-GP1 and their levels were statistically significantly higher in patients with APS (PAPS and SLE + APS) than the levels in patients with SLE and those of the comparison and control groups (p < 0.05). IgA aCL and IgA anti-β2-GP1 were significantly associated with thrombosis in APS (χ2 = 4.96; p = 0.02 and χ2 = 4.37; p = 0.04, respectively). The risk of thrombosis was 2.04 times higher in patients with positive IgA aCL than in patients without these antibodies, as well as in patients with positive IgA anti-β2-GP1; it was twice as high as in patients without antibodies. There was a high specificity of IgA aCL and IgA anti-β2-GP1 for both the diagnosis of APS and its clinical manifestations, despite a low sensitivity. Conclusions: The study revealed a relationship of thrombosis and APS with IgA aCL and IgA anti-β2-GP1. There was a high specificity of IgA aCL and IgA anti-β2-GP1 (95% and 93%, respectively) for the diagnosis of APS with a low sensitivity (54% and 44%, respectively). There were no patients with isolated positivity of IgA aCL and IgA anti-β2-GP1