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Today, the significant volumes of network traffic circulate through the Internet. The sources of such traffic are, in particular, the diverse territory distributed “smart” devices. The number of named devices is about billions. As a consequence, the relevance of bringing to practice the core concepts of the Internet of Things paradigm is constantly becoming more and more topical. It’s bound with the problem of granting the interoperability between the components of distributed software systems, built over the aforementioned devices. The web services are typically considered as the components of the system. To this end, to establish the interoperability between the components, despite the standardization, the need for the development of effective tools and techniques, granting the interoperability between the web services, arises. The goal of the work is to increase the effectiveness of the Internet of Things system engineering process by way of checking the interoperability between the components during the designing. The goal is achieved through the development of formal model for checking the interoperability between the components of the Internet of Things system by way of model checking in an automated manner. The novelty of proposed solution is grounded on the usage of Temporal Logic of Actions, corresponding formalism and the concept of action as the basis for compact and easily reconfigurable formal specifications synthesis. The adequacy of proposed model has been proved through the case study. The verification-related time costs have been estimated.

The current state of the macrozoobenthos in the pseudolittoral zone of the Kazachya Bay was studied and a comparative analysis of its qualitative composition and quantitative indicators was carried out in different periods and seasons of the research. In 2007–2010 and 2021–2022, 86 macrozoobenthos species from different taxa: Polychaeta (36 species), Crustacea (33), Mollusca (13), Platyhelminthes, Oligochaeta, Chironomidae and Nemertea were found. By 2022, their number increased by 1.6 times. Moreover, 38 species of hydrobionts were added to the list. Fourteen species of macrozoobenthos were identified only in 2007–2010. Average values of abundance and biomass of macrozoobenthos in 2007–2010 varied from 774±176 to 4051±306 ind./m2 and from 0.585±0.216 to 12.57±0.033 g/m2, respectively. In 2021- 2022, they varied from 24±17 to 7352±3514 individuals/m2 and from 0.021±0.016 to 18.945±11.557 g/m2, respectively. In both periods, maximum abundance of macrozoobenthos formed by Polychaeta was registered in summer. In 2007–2010, the maximum biomass of macrozoobenthos was registered in summer, and in 2021–2022 it was observed in autumn. Mollusks made a significant contribution to this indicator in both periods. The trophic structure of macrozoobenthos is represented by polyphages, phytophages, detritophages and carnivores. In 2007–2010, oligochaetes were registered in 43 % of the samples in winter; H. acuta (Draparnaud, 1805), which belongs to plant detritivores, was the dominanhe species from April to September. In 2021–2022, the largest number of mass species was registered in the autumn-winter period, and S. papillocercus Bobretzky, 1872 dominated there. In spring and summer, polychaetes Capitella capitata (Fabricius, 1780), Salvatoria clavate (Claparиde, 1863), Microphthalmus fragilis Bobretzky, 1870 and amphipod Pectenogammarus foxi (Schellenberg, 1928) - representatives of polyphagous and phytophagous species - dominated in terms of occurrence. Changes in the number and taxonomic diversity of mass species with different feeding types in different seasons can be associated with the breeding season of hydrobionts and changes in the food supply. 

Представленная работа является обзором трудов авторов, работающих над созданием экологически безопасных полимерных материалов на основе фурфурилглицидилового эфира (ЭФУ) и его производных, получаемых из продуктов переработки растительного сырья. В работе представлены новые производные ЭФУ на основе жирных кислот и пентафталевых олигоэфиров, кинетические закономерности их синтеза и механизм полимеризации ЭФУ и его производных в присутствии новых комплексных ониевых катализаторов. Представлена новая концепция синтеза линейных и сетчатых «неизоцианатных» полигидроксиуретанов на основе ЭФУ, обладающих термообратимыми свойствами. ; This scientific paper is the review paper included in the transactions of the authors that work on the creation of ecologically friendly polymer materials based on furfuryl glycidyl ether (FGE) and its derivatives that are produced from the products of raw material processing. This paper gives new FGE derivatives based on fat acids and pentaphthalic oligoethers, kinetic mechanisms of their synthesis and polymerization mechanisms of FGE and its derivatives in the presence of new complex onium catalysts (COC) are investigated by differential scanning calorimetry (DSC) in a non-isothermal mode. It presents a new conception of the synthesis of linear and cross-linked "nonisocyanate" polyhydroxy urethanes using Diels-Alder reaction based on derivative of the FGE – furfuryl oxypropyl cyclocarbonate. These polymers have thermally reversible properties and, if necessary, they break up into their original components, which makes it possible to use them repeatedly. Also shows physical and mechanical properties of the polymers and coatings based on them and their structure confirmed using the methods of IR and PMR spectroscopy.

Розкривається сутність стратегій розвитку підприємства в умовах індустріальних революцій, а також можливі труднощі економічних, фінансових і соціальних систем. Наводиться визначення штучної нейронної мережі (ШНС). Обґрунтовується стратегія розвитку "Інтернет речей". ; Раскрывается сущность стратегий развития предприятия в условиях индустриальных революций, а также возможные трудности экономических, финансовых и социальных систем. Приводится определений искусственной нейронной сети (ИНС). Обосновывается стратегия развития "интернет вещей". ; The essence of the enterprise development strategies in the conditions of industrial revolutions is disclosed, as well as the possible difficulties of economic, financial and social systems. The definitions of an artificial neural network (INS) are given. The development strategy of the "Internet of things" is grounded.