84 research outputs found
Practical cryptographic strategies in the post-quantum era
We review new frontiers in information security technologies in
communications and distributed storage technologies with the use of classical,
quantum, hybrid classical-quantum, and post-quantum cryptography. We analyze
the current state-of-the-art, critical characteristics, development trends, and
limitations of these techniques for application in enterprise information
protection systems. An approach concerning the selection of practical
encryption technologies for enterprises with branched communication networks is
introduced.Comment: 5 pages, 2 figures; review pape
Quantum-secured blockchain
Blockchain is a distributed database which is cryptographically protected
against malicious modifications. While promising for a wide range of
applications, current blockchain platforms rely on digital signatures, which
are vulnerable to attacks by means of quantum computers. The same, albeit to a
lesser extent, applies to cryptographic hash functions that are used in
preparing new blocks, so parties with access to quantum computation would have
unfair advantage in procuring mining rewards. Here we propose a possible
solution to the quantum era blockchain challenge and report an experimental
realization of a quantum-safe blockchain platform that utilizes quantum key
distribution across an urban fiber network for information-theoretically secure
authentication. These results address important questions about realizability
and scalability of quantum-safe blockchains for commercial and governmental
applications.Comment: 7 pages, 2 figures; published versio
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LYS12 LysM receptor decelerates Phytophthora palmivora disease progression in Lotus japonicus.
Phytophthora palmivora is a devastating oomycete plant pathogen. We found that P. palmivora induces disease in Lotus japonicus and used this interaction to identify cellular and molecular events in response to this oomycete, which has a broad host range. Transcript quantification revealed that Lys12 was highly and rapidly induced during P. palmivora infection. Mutants of Lys12 displayed accelerated disease progression, earlier plant death and a lower level of defence gene expression than the wild type, while the defence program after chitin, laminarin, oligogalacturonide or flg22 treatment and the root symbioses with nitrogen-fixing rhizobia and arbuscular mycorrhiza were similar to the wild type. On the microbial side, we found that P. palmivora encodes an active chitin synthase-like protein, and mycelial growth is impaired after treatment with a chitin-synthase inhibitor. However, wheat germ agglutinin-detectable N-acetyl-glucosamine (GlcNAc) epitopes were not identified when the oomycete was grown in vitro or while infecting the roots. This indicates that conventional GlcNAc-mers are unlikely to be produced and/or accumulate in P. palmivora cell walls and that LYS12 might perceive an unknown carbohydrate. The impact of Lys12 on progression of root rot disease, together with the finding that similar genes are present in other P. palmivora hosts, suggests that LYS12 might mediate a common early response to this pathogen
Research of a bi-directional DC-DC converter integrated in electric car power installation
This article presents the results of the simulation study of the bi-directional DC converter, including the time diagrams of the electric vehicle speed, voltage and current changes in various experiments, Also presented are the results of efficiency change and charge level, when using a bi-directional converter as well as without using it. The HFEDC (Highway Fuel Economy Driving Schedule) model was chosen for the simulation of the electric vehicle drive model using units simulating standardized driving cycles and as an algorithm for changing the vehicle's control signal. Studies of the operating modes of the electrical equipment and the electric vehicle with the DC voltage conversion device in the power circuit of the DC source have been carried out by computer simulation in specialized programs for the study of dynamic systems. The simulation model of the reversible DC converter in the electrical power equipment of an electric vehicle was constructed on the basis of mathematical models of the individual elements reflecting their real physical properties. The present solution is the use of two-way DC voltage converters in the power conversion systems of modern electric drives, including the electric propulsion systems of prospective vehicles improves the efficiency of these systems. © Published under licence by IOP Publishing Ltd
Invistigation of the Dynamic Characteristics of a Synchrounus Generator (on the Example of the Hydro Generator Nurek HPP)
The modern electric power system is a complex structure with constantly changing parameters of the operation, as well as abnormal operation. Dynamic characteristics of a synchronous generator are characterized by parameters that affect the transient process when the operating mode changes. This article considers the effect of automatic excitation control (AEC) on the dynamic characteristics of a synchronous generator by mathematical simulation in the Matlab/Simulink environment. AEC will play a significant role in enhancing the stability of generators and the electric power system as a whole. The results of the study are presented.Современная электроэнергетическая система представляет собой сложную структуру с постоянно изменяющимися параметрами режима, а также при анормальных режимов. Динамические характеристики синхронного генератора характеризуются параметрами, влияющими на переходный процесс при изменении режима работы. В данной статье рассматривается влияние автоматического регулирования возбуждения (АРВ) на динамические характеристики синхронного генератора путем математического моделирование в среде Matlab/Simulink. АРВ играет значительную роль в повышение устойчивости генераторов в электроэнергетические системы в целом. Приведены результаты исследования
Assessment of the efficiency of the local application of hemostatic drug Geprocel in the treatment of patients with deep burns
The work is based on the analysis of the treatment results of 35 patients with burn trauma (10 women and 25 men) aged 15 to 55 years who were treated in the burn department of Republican Scientific Centre of Urgent Medical Aid (RSCUMA) between 2017 and 2018. In this study, we report on the use of the hemostatic preparation Geprocel with an autodermoplasty on a wound after necroectomy with subsequent autodermoplasty in all cases contributed to the complete healing of donor sites for 7 days, and the complete engraftment of the skin autotransplant with full recovery of the defect by 12 days after surgery. This preliminary data suggests the potential role of Geprocel in the clinical management of burn treatment.The work is based on the analysis of the treatment results of 35 patients with burn trauma (10 women and 25 men) aged 15 to 55 years who were treated in the burn department of Republican Scientific Centre of Urgent Medical Aid (RSCUMA) between 2017 and 2018. In this study, we report on the use of the hemostatic preparation Geprocel with an autodermoplasty on a wound after necroectomy with subsequent autodermoplasty in all cases contributed to the complete healing of donor sites for 7 days, and the complete engraftment of the skin autotransplant with full recovery of the defect by 12 days after surgery. This preliminary data suggests the potential role of Geprocel in the clinical management of burn treatment
INFLUENCE OF SPRAY MODES ON PHYSICO-MECHANICAL PROPERTIES OF COATING CrN/AlN
This article describes the physical and mechanical properties of the CrN / AlN coating under the influence of technological conditions
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Deep learning‐based quantification of arbuscular mycorrhizal fungi in plant roots
Summary: Soil fungi establish mutualistic interactions with the roots of most vascular land plants. Arbuscular mycorrhizal (AM) fungi are among the most extensively characterised mycobionts to date. Current approaches to quantifying the extent of root colonisation and the abundance of hyphal structures in mutant roots rely on staining and human scoring involving simple yet repetitive tasks which are prone to variation between experimenters. We developed Automatic Mycorrhiza Finder (AMFinder) which allows for automatic computer vision‐based identification and quantification of AM fungal colonisation and intraradical hyphal structures on ink‐stained root images using convolutional neural networks. AMFinder delivered high‐confidence predictions on image datasets of roots of multiple plant hosts (Nicotiana benthamiana, Medicago truncatula, Lotus japonicus, Oryza sativa) and captured the altered colonisation in ram1‐1, str, and smax1 mutants. A streamlined protocol for sample preparation and imaging allowed us to quantify mycobionts from the genera Rhizophagus, Claroideoglomus, Rhizoglomus and Funneliformis via flatbed scanning or digital microscopy, including dynamic increases in colonisation in whole root systems over time. AMFinder adapts to a wide array of experimental conditions. It enables accurate, reproducible analyses of plant root systems and will support better documentation of AM fungal colonisation analyses. AMFinder can be accessed at https://github.com/SchornacklabSLCU/amfinder
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