Regeneration and utilisation rotary systems of waste technological liquids

The article shows prospects of using regeneration and utilisation rotary systems of waste technological liquids in enclosed local water systems

Применение алгоритмов биоинформатики для обнаружения мутирующих кибератак

Функционал любой системы может быть представлен в виде совокупности команд, которые приводят к изменению состояния системы. Задача обнаружения атаки для сигнатурных систем обнаружения вторжений эквивалентна сопоставлению последовательностей команд, выполняемых защищаемой системой, с известными сигнатурами атак. Различные мутации в векторах атак (включая замену команд на равносильные, перестановку команд и их блоков, добавление мусорных и пустых команд) снижают эффективность и точность обнаружения вторжений. В статье проанализированы существующие решения в области биоинформатики, рассмотрена их применимость для идентификации мутирующих атак. Предложен новый подход к обнаружению атак на основе технологии суффиксных деревьев, используемой при сборке и проверке схожести геномных последовательностей. Применение алгоритмов биоинформатики позволяет добиться высокой точности обнаружения мутирующих атак на уровне современных систем обнаружения вторжений (более 90%), при этом превосходя их по экономичности использования памяти, быстродействию и устойчивости к изменениям векторов атак. Для улучшения показателей точности проведен ряд модификаций разработанного решения, вследствие которых точность обнаружения атак увеличена до 95% при уровне мутаций в последовательности до 10%. Метод может применяться для обнаружения вторжений как в классических компьютерных сетях, так и в современных реконфигурируемых сетевых инфраструктурах с ограниченными ресурсами (Интернет вещей, сети киберфизических объектов, сенсорные сети)

Cold-Field Switching in PVDF-TrFE Ferroelectric Polymer Nanomesas

Polarization reversal in ferroelectric nanomesas of polyvinylidene fluoride with trifluoroethylene has been probed by ultrahigh vacuum piezoresponse force microscopy in a wide temperature range from 89 to 326 K. In dramatic contrast to the macroscopic data, the piezoresponse force microscopy local switching was nonthermally activated and, at the same time, occurring at electric fields significantly lower than the intrinsic switching threshold. A "cold-field'' defect-mediated extrinsic switching is shown to be an adequate scenario describing this peculiar switching behavior. The extrinsic character of the observed polarization reversal suggests that there is no fundamental bar for lowering the coercive field in ferroelectric polymer nanostructures, which is of importance for their applications in functional electronics

Chemically induced Jahn–Teller ordering on manganite surfaces

Physical and electrochemical phenomena at the surfaces of transition metal oxides and their coupling to local functionality remains one of the enigmas of condensed matter physics. Understanding the emergent physical phenomena at surfaces requires the capability to probe the local composition, map order parameter fields and establish their coupling to electronic properties. Here we demonstrate that measuring the sub-30-pm displacements of atoms from high-symmetry positions in the atomically resolved scanning tunnelling microscopy allows the physical order parameter fields to be visualized in real space on the single-atom level. Here, this local crystallographic analysis is applied to the in-situ-grown manganite surfaces. In particular, using direct bond-angle mapping we report direct observation of structural domains on manganite surfaces, and trace their origin to surface-chemistryinduced stabilization of ordered Jahn–Teller displacements. Density functional calculations provide insight into the intriguing interplay between the various degrees of freedom now resolved on the atomic level

The Development of Villains in B. Stoker’s "Dracula", A.C. Doyle’s “The Final Problem” and J. K. Rowling’s "Harry Potter" saga.

This Master's Thesis explores the phenomena of villains and their development in English literature in the period from 1893 to 2016, based on the examples of Dracula from B. Stoker's Dracula, Moriarty from A. C. Doyle's "The Final Problem”, and Voldemort from J.K. Rowling's Harry Potter series. The analysis investigates the development of these villains and brings up the greater questions about evil and the essence of human nature. In order to do so, these villains are correlated to the philosophical, theological, and social ideas by Hobbes, Rousseau, Machiavelli, Augustine of Hippo, and Locke. This work is divided into six sections. First comes the introduction, then three sections for closer analysis of each villain where the philosophical ideas are used to suggest the possible interpretation of these characters. A close reading of the original texts is used to provide information about the villains, their characteristics, and specifics. A comparative discussion of the villains ensues from the philosophy-oriented character analysis. The conclusion finalizes the character analysis, comparisons, and philosophical consideration. The argumentation declares that even though these villains represent different forms of evil, they at the same time, remain undoubtfully evil at their core. Their evil nature is the same, the representation of it is what differs them

“Eto prosto bukvy na bumage…” Vladimir Sorokin: Posle literatury (“It’s just letters on paper…” Vladimir Sorokin: After the Literature)

This volume is devoted to the leading contemporary Russian writer Vladimir Sorokin (b. 1955). The articles included in the collection are focused both on general principles of his poetics and individual works: texts written in the late Soviet underground, his post-Soviet bestsellers, plays, screenplays and films. Sorokin is seen here not only as a writer, but also as a media figure who created his own personal myth. The book consists of the most important works written about Sorokin for several decades, throughout his literary career, as well as new articles and Sorokin’s selected interviews

Estimation of applicability of modern neural network methods for preventing cyberthreats to self-organizing network infrastructures of digital economy platforms

The problems of applying neural network methods for solving problems of preventing cyberthreats to flexible self-organizing network infrastructures of digital economy platforms: vehicle adhoc networks, wireless sensor networks, industrial IoT, “smart buildings” and “smart cities” are considered. The applicability of the classic perceptron neural network, recurrent, deep, LSTM neural networks and neural networks ensembles in the restricting conditions of fast training and big data processing are estimated. The use of neural networks with a complex architecture– recurrent and LSTM neural networks – is experimentally justified for building a system of intrusion detection for self-organizing network infrastructures

IoT Security Mechanisms in the Example of BLE

In recent years, a lot of IoT devices, wireless sensors, and smart things contain information that must be transmitted to the server for further processing. Due to the distance between devices, battery power, and the possibility of sudden device failure, the network that connects the devices must be scalable, energy efficient, and flexible. Particular attention must be paid to the protection of the transmitted data. The Bluetooth mesh was chosen as such a network. This network is built on top of Bluetooth Low-Energy devices, which are widespread in the market and whose radio modules are available from several manufacturers. This paper presents an overview of security mechanisms for the Bluetooth mesh network. This network provides encryption at two layers: network and upper transport layers, which increases the level of data security. The network uses sequence numbers for each message to protect against replay attacks. The introduction of devices into the network is provided with an encryption key, and the out-of-band (OOB) mechanism is also supported. At the moment, a comparison has been made between attacks and defense mechanisms that overlap these attacks. The article also suggested ways to improve network resiliency

IoT Security Mechanisms in the Example of BLE

In recent years, a lot of IoT devices, wireless sensors, and smart things contain information that must be transmitted to the server for further processing. Due to the distance between devices, battery power, and the possibility of sudden device failure, the network that connects the devices must be scalable, energy efficient, and flexible. Particular attention must be paid to the protection of the transmitted data. The Bluetooth mesh was chosen as such a network. This network is built on top of Bluetooth Low-Energy devices, which are widespread in the market and whose radio modules are available from several manufacturers. This paper presents an overview of security mechanisms for the Bluetooth mesh network. This network provides encryption at two layers: network and upper transport layers, which increases the level of data security. The network uses sequence numbers for each message to protect against replay attacks. The introduction of devices into the network is provided with an encryption key, and the out-of-band (OOB) mechanism is also supported. At the moment, a comparison has been made between attacks and defense mechanisms that overlap these attacks. The article also suggested ways to improve network resiliency

The Effect of a Single Dose of Citrulline on the Physical Performance of Soccer-Specific Exercise in Adult Elite Soccer Players (A Pilot Randomized Double-Blind Trial)

Purpose: The purpose of this study was to evaluate the effect of a single intake of citrulline at 3 g and 6 g doses in adult elite soccer players performing sport-specific exercise. Materials and Methods: This randomized double-blind placebo-controlled study analyzed 18 soccer players from the top divisions of three European countries. Participants were randomized into three groups of six each and performed a field-based soccer-specific test for 18 min. Comparative analysis of heart rate, fatigue and post-exercise recovery was conducted. Results: There were no statistically significant differences in most of the analyzed parameters, nor at any of the time points for lactate concentration. Players’ RPE exercise test score did not reveal any differences. Conclusions: Neither a single intake of 3 g nor of 6 g of citrulline malate affected physical performance, subjective feelings of fatigue or post-exercise recovery in adult elite soccer players who performed a soccer-specific test