Kaliningrad State Technical University (Russian: Калининградский государственный технический университет, (КГТУ); abbreviated KSTU) is a technical university at Victory Square in Kaliningrad, Russia. It is located in the former combined Amtsgericht and Landgericht building of Königsberg, Germany.Having been founded on the basis of Moscow Technical Institute for the Fishery Industry, KSTU is justly considered as the beginning of Russian higher fishery education and a range of scientific schools in navigation, commercial fishery, and progressive technologies of food production. At present, it develops as a multi-disciplinary institution considering the demands and the economic potential of the Region, maintaining traditions of high quality specialist training for the fishery industry.Students are trained in 42 higher educational courses at various levels, namely, Bachelor, Professional Diploma, Master, Doctor of Philosophy (Kandidat Nauk) and Doctor of Science (Doktor Nauk) Degrees; professionals are offered various upgrading courses.600 teachers and researchers, including 75 professors holding the Doktor Nauk Degree, 80 academicians and corresponding members of international and public Russian Academies of Science form the faculty if the University. 28 scientists are awarded titles of honoured workers of science, Russian higher education, branches of science, and the fishery industry.Scientific research is traditionally undertaken in many areas being the most important for the modern navigation, fisheries and seafood processing, power engineering, construction, production automation and control, information technology, natural science, nano-technology, etc. The University founded effectively working schools in ichthyology, commercial fishery, shipbuilding and repair, automation of production and control, technique and technology of raw materials processing. There are 12 research laboratories and scientific centres, four of them being of the applied character. Four dissertation councils work at the University.Recently, intensification of scientific work has involved the University into 25 federal scientific programmes, as well as in TEMPUS and TACIS projects. Regional representatives of public professional Academies of Science applied Centre for new Information Technologies, Research Institute for Maritime Engineering Service, Institute of Ecology and Sustainable Development successfully operate on the University basis.International co-operation of the University with foreign educational and research organizations is constantly expanding, with the Baltic Sea region in particular.
The aim of this study was to investigate the biological potential of polysaccharides from the brown algae Fucus vesiculosus collected in the Murmansk region of the White Sea. The physicochemical properties and composition of the polysaccharide extract samples were determined. The obtained sample contained similar to 70% fucoidan. IR spectrometry confirmed the polysaccharide nature of the isolated samples. All samples were shown to have antioxidant potential. DPPH analysis showed a free radical inhibition of 48.7%. The inhibition of ABTS radicals reached 77.34%. It was determined that the fucoidan extract samples did not exhibit cytotoxicity at a concentration of 30 mg/kg. It has been established that polysaccharides at a concentration of 50 mg/ml are effective against Pseudomonas aeruginosa and inhibited the growth of Escherichia coli by up to 30%. Fucus extract samples showed the lowest effectiveness against Candida albicans (23.3%). The resources of brown algae are not fully exploited. The novelty of studying the polysaccharide composition of brown algae is due to the need to resolve the issue of active harvesting of brown algae without harming the recovery of commercial stocks; a more complete study of the chemical composition; obtaining new types of products and creating environmentally friendly, waste-free technologies. For effective use of fucoidan in medical practice, it is important to develop suitable delivery systems that improve its bioavailability, stability, and targeting.
The article presents the results of a microbiological study devoted to assessing the stability of a new pasteurized fish paste enriched with functional components. The following functional ingredients have been selected: food grade inulin, which has been introduced as a powder, and dried crushed Fucus vesiculosus . The microbiological parameters of the components of the paste formulation that pose an increased risk have been studied: frozen cod and bubbly fucus. During the experiment, which lasted 75 days, comparative monitoring of three samples of the pasteurized product was carried out: control sample – pasteurized fish paste without functional components, stored in optimal conditions at a temperature of 4 ± 2 °C; prototype 1 – pasteurized fish paste with functional components, stored in optimal conditions at a temperature of 4 ± 2 °C; prototype 2 – pasteurized fish paste with functional components, stored in extreme conditions at a temperature of 22 ± 2 °C. The stability of fish pastes during storage has been determined by the complex influence of two factors: the formulation (presence / absence of functional components) and compliance with the temperature regime. It has been found that the components of the fish paste formulation, as well as the finished samples, with and without functional components, stored in optimal conditions throughout the experiment corresponded to all indicators (TAMC, coliforms, molds, S. aureus , V. parahaemolyticus , B. cereus , sulfite-reducing clostridia) EAEU Technical Regulation 040/2016 "On the safety of fish and fish products". For comparison, a microbiological analysis of an analog product purchased at a supermarket with a similar formulation at the end of the shelf life has been carried out.
The article focuses on the use of generative neural networks in the educational environment of technical universities. It explores both the advantages and disadvantages of their application, emphasizing the need for a balanced approach to integrating these technologies into education. The article provides practical recommendations for the effective use of neural networks, including raising awareness among educational stakeholders, establishing clear guidelines for their use, monitoring data quality, and organizing specialized courses and training sessions.
The purpose of the study is to identify paths for innovative development of the Russian fisheries complex based on an assessment of the potential and effectiveness of the implementation of the industry development strategy. Innovative development of the Russian fisheries industry is currently in an active phase. Over the past two decades, the scientific community has focused on the fact that the implementation of technological innovations in all sectors of the fish-processing complex must take into account the views of all stakeholders: enterprises engaged in the catching of aquatic biological resources, their processing and sale; researchers; investors. The article discusses two approaches to the innovative development of the fisheries complex: a conservative one, in which innovations are considered as a tool for improvement, and a progressive one, which expands the effectiveness of innovation implementation. With the growth of innovative activity of enterprises in the fisheries complex, the intensity of expenditure on innovation is below the desired level. The results of the study may provide new insights into current government policy in terms of strategic development of the fisheries industry: stimulating the dissemination of innovative technologies and preventing a decline in the industry's innovative potential.
