bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-criteria optimization of the process of electrolytic alkali’s evaporation in order to develop a resource-saving chemical-technological system
Authors: Shulaeva E A , Pavlov V B 
Published: January 2020

Abstract
Development of resource-saving chemical-technological systems requires maintenance of process parameters within the specified limits. The article describes the use of artificial neural networks for modeling of technological process of electrolytic alkali evaporation. The simulation was carried out in Statistica software. The simulation results were used to perform multi-criteria optimization by proper simplex minimization and Nelder-Mead minimization methods to reduce costs and improve process performance and product quality.
Automated verification of expression transformation chains based on computational experiments
Authors: Novikov Fedor , Katsman Viktor , Mosin Vladislav 
Published: January 2020

Abstract
The solution of mathematical and logical problems is the imperative element of the educational process in the technical sciences. To solidify the assimilated skills, learner need to solve a large number of educational tasks, that leads to the need of checking of a large number of solutions. In lots of cases the solution of an educational task is the chain of expression transformations. Many systems allow to compare the learner’s answer with the correct one, defined by the teacher. But in some cases, the teacher needs to set some additional information, besides the answer expression. Such additional information cannot be set for each possible pair of expressions in each possible solution chain of the task. We propose a method for verifying task solutions, based on the computational experiments between each pair of steps in solution chain. The proposed approach was tested and showed good results. Namely, in the experiments the efficiency of the teacher’s work when checking solutions increased more than 4 times.
Remote monitoring software for induction soldering installation
Authors: Dremin R S , Bets Yu S , Tynchenko V S , Bukhtoyarov V V , Milov A V , Egorova D V , Kukartsev V V 
Published: January 2020

Abstract
In this article, a comparative analysis of the existing software was carried out, a description of the subject area of the developed system was given, existing software tools, such integrated development environments as Xcode, Xamarin, FireMonkey were analyzed. As a result of the work, software was developed that made it possible to obtain experiment data, edit and delete experiments, change the parameters of the installations leading to emergencies and lead to the installation of induction soldering automation systems remotely and internally in the existing information infrastructure.
Distributed Raman sensor system with point spots for downhole telemetry
Authors: Nureev I I , Gubaidullin R R , Kadushkin V V , Kurbiev I Y , Proskuriakov A D 
Published: January 2020

Abstract
The article explores the use of two-element fiber Bragg structures as point spots for a distributed downhole telemetry, namely, to calibrate Raman systems and to refine their readings for distributed temperature, and additionally get values of pressure at the end of probe fiber. For this purpose, a structural scheme of a distributed-pointed sensor system was proposed that combines a distributed temperature sensor based on incoherent optical frequency reflectometry using Raman scattering with a point thermomanometers based on two-element fiber Bragg structures for observing wells at a wellhead and at the end. Thus, according to the results of the research, the following principles are proposed: the principles of building combined fiber optic systems for the downhole thermometry to solve the problems of compensating for an influence of temperature in point manometry and to clarify the readings of Raman distributed sensors at their key points.
Capacitorless model of a VO2 oscillator
Authors: Belyaev M A , Velichko A A 
Published: January 2020

Abstract
We implement a capacitorless model of a VO2 oscillator by introducing into the circuit of a field-effect transistor and a VO2 thermal sensor, which provide negative current feedback with a time delay. We compare the dynamics of current and voltage oscillations on a switch in a circuit with a capacitor and without a capacitor. The oscillation period in the capacitorless model is controlled in a narrow range by changing the distance between the switch and the sensor. The capacitorless model provides the possibility of significant miniaturization of the oscillator circuit, and it is important for the implementation of large arrays of oscillators in oscillatory neural networks to solve the problem of classification and pattern recognition.
Determination of features of cyber-attack goals based on analysis of data in open security data sources
Authors: Doynikova E V , Fedorchenko A V , Kryukov R O 
Published: January 2020

Abstract
The paper analyzes security databases including attack patterns database, vulnerability database and weaknesses database. Special attention is given to the schema that underlies the attack patterns database and specifies its objects and relations between them. This scheme is used for selection of features that characterize different classes of cyber-attack goals. The paper outlines metrics of security related objects, such as attacks, weaknesses and vulnerabilities provided by different schemas, the classes of cyber-attack goals, and analyzes relations between different goals and features of cyber-attacks. The experiments demonstrated dependency between the values of selected features and their applicability for determination of different classes of cyber-attack goals.
A combined method for designing operations using soft computing
Authors: Rastorguev D A , Zotov A V , Dema R R , Solomatin N S 
Published: January 2020

Abstract
The article considers the possibility and features of shared use of two approaches of modern artificial intelligence: neural networks and fuzzy logic. Taking into account the advantages and disadvantages of each of the methods considered, the method of sequential use of these systems is considered. Fuzzy systems can be used for the initial creation of an expert inference system with its subsequent adjustment by optimization methods. It is possible to use the formation of a fuzzy inference system based on a hybrid neural net inference system based on control points obtained analytically or experimentally, followed by the generation of dataset for training neural networks. The use of these methods together increases the speed of operation designing, reliability of output, flexibility of approach to the choice of parameters, expansion of capabilities in production environments characterized by a wide variety of operations, materials, processing methods. An example of using this approach for the cladding method is given.
The effect of electrization on the properties of flowing water-oil emulsion
Authors: Tyusenkov A S , Rubtsov A V 
Published: January 2020

Abstract
The electrization of the water-oil mixture is a negative factor, the study of which has so far been neglected. Electrostatic charges generated in the pipelines during oil transportation, are accumulated in oil-water mixture. It essentially changes the corrosion activity of the aqueous phase and enables water-oil emulsion stabilization. The purpose of the study is to determine the effect of electrostatic charges that are generated during oil transportation through pipelines on the stabilization of water-oil emulsions. It is established that the accumulation of electrostatic charges in the oil phase leads to the stabilization of the water-oil emulsion, i.e. to the increase of “water-oil” interphacial tension. It is shown that demulsifiers increase the redistribution of electrostatic charges between aqueous and oil phases. The proposed method preventing the stabilization of emulsion is based on reduction of electrostatic charges redistribution in “water-oil” system by introducing antistatic surfactants.
In Arctic - new technical means and technologies for the development of oil and gas fields in long-term freezing deepwater areas
Authors: Guseynov Ch S 
Published: January 2020

Abstract
The article presents the rationale for the need to create submarine oil and gas vessels / structures in the Arctic for the development of oil and gas fields in deep-sea long-freezing seas due to ice impacts that destroy offshore platforms. The need to solve the problems of developing oil and gas resources of the Russian sector of the Arctic seas of the Arctic Ocean (Arctic Ocean) is undeniable. However, the cost-effectiveness of implementing measures requires not only a careful selection of modern technologies and technical means, but also the development of new technical solutions with increasing consideration of the environmental safety problems of the entire oceans. Especially important is the fact that for the development of deeper long-term freezing Arctic seas, it is necessary to create subsea oil and gas production platforms, including, of course, drilling platforms that should be combined with production vessels. It is equally important for the Arctic deep-sea gas and gas condensate fields to use the new technology for liquefying natural gas, specially created for underwater conditions, since modern liquefaction technologies can only be used for surface conditions.
Improving the efficiency of particle deposition on the filter fiber through its modification
Authors: Yafizov R R , Solovev S A , Panenko D O , Badretdinova G R 
Published: January 2020

Abstract
In this work, we performed a numerical study of the parameters of a fiber filter that make the greatest contribution to the efficiency of particle deposition, using the example of a single fiber. The mechanism of inertial particle deposition is considered. The aerosol motion was numerically simulated in the ANSYS Fluent software package. The particle deposition efficiency was calculated for a single solid and porous fiber without a protrusion, with one protrusion and five protrusions. Based on the data obtained, the dependences of the particle deposition efficiency for a single fiber are graphically presented. A new method is proposed for increasing filter efficiency by creating modified fibers.
Method for evaluating the parameters of the flame front propagation process according to the indicator diagram in spark ignition engines
Authors: Smolenskaya Natalya , Smolenskii Victor , Korneev Nikolay , Prus Yuri 
Published: January 2020

Abstract
The paper presents a methodology for evaluating the parameters of the flame front propagation process using the experimentally obtained indicator pressure diagram in spark ignition engines. The proposed method allows us to determine the main parameters of the flame front propagation process (flame front propagation velocity, flame front heat release rate, flame front thickness, temperature of the burned mixture and temperature of the unburned mixture) from the experimental pressure indicator diagram obtained for a spark ignition engine.
Programmed research techniques for alternative-fuel diesel engine performance
Authors: Plotnikov Sergey , Lanskikh Yury , Pljago Anatoly , Kartashevich Anatoly 
Published: January 2020

Abstract
The relevance of this work is due to the need of preliminary engineless assessment of performance factors for diesel engines working on alternative fuels. The aim of the work is a development of programmed techniques for performance characterization of a diesel engine. The work was carried out according to a standard methodology for determining combustion procedure performance factors developed by the Central Research Diesel Institute and Bauman Moscow State Technical University. The authors suggested performance calculation algorithms for preparatory and master phases of the combustion procedure in a diesel engine cylinder working on composite fuel and emulsions doped with aliphatic alcohols and plant oils. A calculation and a comparative assessment of precision of measurements in design and experimental data of an ignition delay period, cycle peak pressure and combustion procedure inflexibility were performed. Based on the results of the research, conclusions were drawn on the possibility of a preliminary performance assessment of diesel engines working on alternative fuels and potential effect of suggested research methods. Using the suggested makes it possible to forecast the performance of a diesel engine working on liquid alternative fuels. The results of the research can be applied to developing new kinds and compositions of alternative fuels as well as to assessing necessary remodeling of diesel engines in their practical application.
Matching orthogonal code symbols and modulation methods
Authors: Rabin A V 
Published: January 2020

Abstract
The objective of the article consists in a development and a research of the offered by the author orthogonal coding as a way of noise immunity’s increase using the example of the information communication systems with a phase-shift keying. It is shown that the orthogonal coding allows to provide the required quality of communication with the smaller energy cost. The energy gain in signal-to-noise ratio (up to 4.5 dB in the channels with the AWGN without error correcting) is provided by more effective use of energy of transmitted signals without increase in complexity and cost of transmitting/receiving devices. The main attention is paid to a development of the procedure of harmonization of symbols of an orthogonal code with phase-shift keying.
Co-infection with Staphylococcus aureus after primary influenza virus infection leads to damage of the endothelium in a human alveolus-on-a-chip model
Authors: Deinhardt-Emmer Stefanie , Rennert Knut , Schicke Elisabeth , Cseresnyés Zoltán , Windolph Maximilian , Nietzsche Sandor , Heller Regine , Siwczak Fatina , Haupt Karoline Frieda , Carlstedt Swen , Schacke Michael , Figge Marc Thilo , Ehrhardt Christina , Löffler Bettina , Mosig Alexander S 
Published: January 2020

Abstract
Pneumonia is one of the most common infectious diseases worldwide. The influenza virus can cause severe epidemics, which results in significant morbidity and mortality. Beyond the virulence of the virus itself, epidemiological data suggest that bacterial co-infections are the major cause of increased mortality. In this context, Staphylococcus aureus represents a frequent causative bacterial pathogen. Currently available models have several limitations in the analysis of the pathogenesis of infections, e.g. some bacterial toxins strongly act in a species-specific manner. Human 2D mono-cell culture models often fail to maintain the differentiation of alveolus-specific functions. A detailed investigation of the underlying pathogenesis mechanisms requires a physiological interaction of alveolus-specific cell types. The aim of the present work was to establish a human in vitro alveolus model system composed of vascular and epithelial cell structures with cocultured macrophages resembling the human alveolus architecture and functions. We demonstrate that high barrier integrity maintained for up to 14 d in our model containing functional tissue-resident macrophages. We show that flow conditions and the presence of macrophages increased the barrier function. The infection of epithelial cells induced a high inflammatory response that spread to the endothelium. Although the integrity of the epithelium was not compromised by a single infection or co-infection, we demonstrated significant endothelial cell damage associated with loss of barrier function. We established a novel immune-responsive model that reflects the complex crosstalk between pathogens and host. The in vitro model allows for the monitoring of spatiotemporal spreading of the pathogens and the characterization of morphological and functional alterations attributed to infection. The alveolus-on-a-chip represents a promising platform for mechanistic studies of host-pathogen interactions and the identification of molecular and cellular targets of novel treatment strategies in pneumonia.
Using nighttime lights to assess infrastructure expansion within and around protected areas in South America
Authors: Andrade-Núñez María José , Aide T Mitchell 
Published: January 2020

Abstract
Protected areas (PAs) are important mechanisms for conserving biodiversity and buffering anthropogenic pressures, but the expansion and intensification of human activities within and around PAs are threatening the biological diversity they are designed to protect. In South America, a region which includes many biodiversity hotspots (e.g., Atlantic Forest, Andes), agriculture, mining, oil and gas exploitation, dam construction, and settlements have been expanding and intensifying within and around PAs. These human activities need infrastructure (e.g., buildings, logistic facilities, ports), which leads to increased pressure on PAs. In this study, we used nighttime light data and the World Database on Protected Areas to evaluate the extent of intrusion of infrastructure in PAs in South America between 2001 and 2011. Our results show that in general PAs in all of the seven IUCN categories are buffering the intrusion of infrastructure within them, but this was not the case for PAs in multiple-use categories where there was a considerable increase in infrastructure within these PAs. The largest increase in infrastructure occurred within the first 60 km from the border of the PAs, and for multiple-use categories, the peak occurred in the first 10 km. In addition, infrastructure expansion around PAs in category I showed more variability and the largest extent. Infrastructure expansion within and around PAs varied among countries. There were only 23 of the 2,902 PAs with zero expansion, 16 were located in Brazil, four in Colombia, and one in Suriname, Venezuela, and French Guiana. Ecuador and Venezuela were the two countries that had the most infrastructure expansion within and around their PAs, while Guyana and French Guiana had the least development. Presently, South America has ∼22% of the land area under some type of protection. Hopefully, the management of PAs will improve to help buffer the impacts of human activities and improve biodiversity conservation. Unfortunately, our results show that opposite, infrastructure is expanding within and around the PAs, which will most likely lead to ecological degradation and isolation of many of these PAs.
Measures with specified support and arbitrary Assouad dimensions
Authors: Hare Kathryn , Mendivil Franklin , Zuberman Leandro 
Published: January 2020

We show that if the upper Assouad dimension of the compact set

E
⊆

R

E\subseteq \mathbb {R}

is positive, then given any

D
>

dim

A

⁡
E

D>\dim _{A}E

there is a measure with support

E
E

and upper Assouad (or regularity) dimension

D
D

. Similarly, given any

0
≤
d
>

dim

L

⁡
E
,

0\leq d>\dim _{L}E,

there is a measure on

E
E

with lower Assouad dimension

d
d

.
Estimation and inference for the population attributable risk in the presence of misclassification
Authors: Wong Benedict H W , Lee Jooyoung , Spiegelman Donna , Wang Molin 
Published: January 2020

Summary
Because it describes the proportion of disease cases that could be prevented if an exposure were entirely eliminated from a target population as a result of an intervention, estimation of the population attributable risk (PAR) has become an important goal of public health research. In epidemiologic studies, categorical covariates are often misclassified. We present methods for obtaining point and interval estimates of the PAR and the partial PAR (pPAR) in the presence of misclassification, filling an important existing gap in public health evaluation methods. We use a likelihood-based approach to estimate parameters in the models for the disease and for the misclassification process, under main study/internal validation study and main study/external validation study designs, and various plausible assumptions about transportability. We assessed the finite sample perf ormance of this method via a simulation study, and used it to obtain corrected point and interval estimates of the pPAR for high red meat intake and alcohol intake in relation to colorectal cancer incidence in the HPFS, where we found that the estimated pPAR for the two risk factors increased by up to 317% after correcting for bias due to misclassification.
Dynamic Changes in the Neurogenic Potential in the Ventricular–Subventricular Zone of Common Marmoset during Postnatal Brain Development
Authors: Akter Mariyam , Kaneko Naoko , Herranz-Pérez Vicente , Nakamura Sayuri , Oishi Hisashi , García-Verdugo Jose Manuel , Sawamoto Kazunobu 
Published: January 2020

AbstractEven after birth, neuronal production continues in the ventricular–subventricular zone (V–SVZ) and hippocampus in many mammals. The immature new neurons (“neuroblasts”) migrate and then mature at their final destination. In humans, neuroblast production and migration toward the neocortex and the olfactory bulb (OB) occur actively only for a few months after birth and then sharply decline with age. However, the precise spatiotemporal profiles and fates of postnatally born neurons remain unclear due to methodological limitations. We previously found that common marmosets, small nonhuman primates, share many features of V–SVZ organization with humans. Here, using marmosets injected with thymidine analogue(s) during various postnatal periods, we demonstrated spatiotemporal changes in neurogenesis during development. V–SVZ progenitor proliferation and neuroblast migration toward the OB and neocortex sharply decreased by 4 months, most strikingly in a V–SVZ subregion from which neuroblasts migrated toward the neocortex. Postnatally born neurons matured within a few months in the OB and hippocampus but remained immature until 6 months in the neocortex. While neurogenic activity was sustained for a month after birth, the distribution and/or differentiation diversity was more restricted in 1-month-born cells than in the neonatal-born population. These findings shed light on distinctive features of postnatal neurogenesis in primates.