Study of Gamma-ray Induced Attenuation of Fluorine-doped Single-mode Radiation Hard Optic Fiber

The paper presents the measurements results of optic fiber’s radiation induced attenuation. The approach of optic fiber’s radiation test at negative temperatures is introduced. The results of an investigation of the decay of an optical signal during a pulsed electron. Keywords: radiation hardness, fiber-optic communication, radiation-induced attenuatio

Impact of Blockchain Technology for Modification of the Supply Chain Management in Energy Markets

Abstract— Supply chain management played a critical role in the electric power industrial chain optimization. The paper notes that in order to increase transparency and efficiency of settlements for electric energy, the introduction of intelligent metering systems is necessary. In order to achieve efficiency, transparency, data security and reduce transaction costs abroad, blockchain technologies that have both positive and negative characteristics have begun to be actively introduced. Similar aspirations are realized in Russia, where smart metering devices are also installed everywhere for consumers of electric energy. At the same time, studies show that it is advisable to implement the implementation of blockchain technology only in conditions of decentralized electricity supply, since the principles of this technology are not compatible with management from a single center. In Russia, given the significant role of centralization in electricity supply chain and non-payment for energy, the presence of “non-disconnected” consumers and a very modest share of renewable energy, the possibilities for using blockchain technology are very limited. This necessitates the search for effective ways to use blockchain technology, taking into account the current circumstances

Digitalization of Energy Manufacture: Infrastructure, Supply Chain Strategy and Communication

Abstract- The constant development of the electric power industry today leads to a decrease in the sustainability and growth of accidents in the “UES of Russiaâ€, necessitates the adoption of operational and supply chain management decisions that are not possible without digitalization. The problems that the industry will face in implementing digitalization projects are identified, namely: increased equipment wear; lack of funding, requirements for technological compatibility of the characteristics and parameters of power equipment and devices, unified switching standards (protocols) and information models, required number of instruments, equipment and software. Despite the obvious problems, digitalization is being actively implemented in the power industry. It is noted that the target model of digitalization in the power industry should include three blocks: digital technologies and databases, information technology infrastructure, including communication channels, information security systems. The spheres of application of existing and future digital technologies and databases at all stages of energy production are considered: generation, power grids, sales activities, in their relationship with the management bodies of the wholesale and retail electricity and capacity markets and regulatory bodies. The possibilities of using own and leased communication channels are critically evaluated, the advantages of various communication channels are revealed. It is noted that it is necessary to use channels based on fiber-optic communication lines as the main ones, and satellite communication channels as reserve ones. Special attention is drawn to information security. The components of the effect of digitalization for consumers, energy companies and the state are determined. It is proposed to introduce integrated indicators of the effect of digitalization. The proposed measures are necessary for the implementation of full-scale digitalization of the power industry, including the preservation of savings from digitalization in power companies, government support, and the creation of conditions for the development of active consumers

Organosulfur compounds as nutraceuticals

Organosulfur compounds (OSC) are widely present in our bodies and the natural environment. There are two principal groups of vegetables that contain OSC with special properties. Garlic, onion, shallot, leek, and chives are well-known representatives of the Allium genus (family Amaryllidaceae), that contain S-alk(en)yl-L-cysteine sulfoxides. Cabbage, cauliflower, Brussels sprouts, kale etc. are representatives of the Brassica genus, and rucola (rocket salad) of the Eruca genus of the mustard or cruciferous family (Brassicaceae), which contain S-methyl cysteine-L-sulfoxide. OSC as nutraceutical agents can serve not only as direct antioxidants trapping electrons, but also have non-antioxidant effects such as antiplatelet, fibrinolytic, antiinflammatory, immunomodulatory, antiageing actions etc. These properties of OSC are useful in the prophylaxis and treatment of various pathological states, such as cardiovascular diseases, cancer, neurodegenerative disorders and diabetes; they have antibacterial, antiviral and some other activities. Theories have emerged that explain these properties of OSC by their correction of redox-sensing and redox-signaling properties

Safety and toxicity evaluation of nutraceuticals in animal models.

Nutraceuticals are derived from various natural sources such as medicinal plants, marine organisms, vegetables, and fruits. Most of them possess antioxidant or anti-inflammatory properties and are claimed to provide protection against many diseases if taken regularly. At the same time, toxicological studies of nutraceuticals have been limited, so the safety of many of them cannot be guaranteed. Animals share many genetic, anatomical, and physiological similarities with humans, and they continue to be widely used in preclinical studies of drugs, in spite of a lack of their validity which is due to the great phenotypic differences. The absence of toxicity in animals provides little probability that adverse reactions will also be absent in humans. There are currently thousands of researchers involved in the development of alternatives to animal use in the life sciences. Statistical machine-learning tools, once developed, might become a powerful means to explain the complex physiological effects of nutraceuticals. The use of different models and algorithms can provide a more scientific basis for risk assessment of nutraceuticals for humans