The work is devoted to the enzymes of microorganisms. This review article presents the characteristics of microbial enzymes, their classifications according to various parameters. The study examines the role of microbial enzymes in various areas of human life. Enzymes are involved in the biochemical processes of microorganisms for their protection, reproduction, and growth. Enzyme producers are various taxonomic groups of bacteria, filamentous fungi, actinomycetes and yeasts. The article describes hydrolytic enzymes, reveals the importance of the protease enzyme involved in various processes with microorganisms. The main producers of proteolytic enzymes are bacteria of the genus Bacillus, Lactobacillus, Streptococcus, Micrococcus, Pseudomonas, fungi of the genus Aspergillus, Penicillium, Blakeslea, actynomicetes of the genus Streptomyces, Actinomyces. Particular attention is paid to lactic acid bacteria. The significance of the use of protease in the biotechnological industry, in particular, for the development of preparations, starter cultures, bioadditives, and functional food products with desired properties, is shown. The article mentions the results of a study of the proteolytic activity of cultures of microorganisms, obtained by me and my colleagues. The objects of study were bacilli, yeast, fungi and lactic acid bacteria.To assess proteolytic activity, in vitro methods, chromatographic and other methods are used.

This article examines the impact of Internet of Things (IoT) data integration and hybrid information systems modeling on business process analysis. The study aims to confirm the assumption that such integration increases the accuracy and efficiency of the analysis.

The review part emphasizes the importance of analyzing business processes for successful existence in a rapidly changing and competitive business environment. The main focus is on the use of IoT and modeling of information systems to improve the productivity of the organization.

The methodological part describes the research approach: collection and analysis of empirical data in comparison with scientific literature. The integration of real-time IoT data with information systems modeling is the basis of the research approach.

The results of the work confirm the initial assumption, revealing the significant impact of the integration of IoT data and modeling of information systems on the analysis of business processes. This allows organizations to achieve greater operational efficiency, optimize resources and make informed decisions.

The practical value of the hybrid approach is emphasized for organizations wishing to improve the analysis of their business processes. Integration of IoT and modeling of information systems helps to optimize processes and increase overall productivity.

The work confirms the importance and usefulness of using a hybrid approach in the analysis of business processes based on IoT, highlighting the advantages of integrating IoT data and modeling information systems. The hybrid approach has the potential to improve business processes and achieve success in today's competitive environment.

The article considered the application of the organic Rankine cycle, in particular attention was paid to the correct choice of the working fluid in installations that implement such a cycle.

The choice of a working medium for solving generalized tasks is the determining basic condition for the effectiveness of the implementation of the organic Rankine cycle. In addition, the article formulates the working bodies used in the cycle and the requirements for working bodies. The properties of the working bodies used in the organic Rankine cycle were studied and the main factors affecting the effective functioning of the cycle were noted. The main properties of working fluids and their comparison with water are given. The effectiveness of the organic Rankine cycle and its features were also studied with the optimal choice of the working fluid, a SWOT analysis of the overall cycle was carried out.

The article presents the results of the study and recommendations on the choice of a working fluid for the organic Rankine cycle in thermal power engineering. Research shows that the choice of working fluid depends on a number of factors, such as temperature conditions, desired level of efficiency, environmental impact, availability, safety, etc. Considered data can be useful to specialists in the field of thermal power engineering when choosing the optimal solution for a specific installation.

At present continue, studies of the interaction of plasma with structural materials of the first wall and divertor of the ITER international experimental fusion reactor on operating tokamaks and simulated plasma facilities. In the research of the interaction of plasma with the surface of candidate materials TNR an important role plasma parameters play. For determination of local values of the main plasma parameters there is a separate field of research – plasma diagnostics. Plasma diagnostics is the determination of local and instantaneous values of main its parameters: concentration and temperature of charged plasma particles, as well as the distribution functions of various plasma components by energies.

This works presents the results of a research to the spatial distribution of local parameters (temperature electrons (Te) and plasma concentration (ne)) of a low-temperature plasma on a plasma-beam installation (PBI) with the help a movable Langmuir probe with the following geometrical parameters of the electrode: length – 4 mm; diameter 0.5 mm. The probe sweep was with the help a Keithley 6487 picoammeter. The processing of volt-ampere characteristics (VAC) was carried out by standard methods.

To assess the spatial distribution of the above-mentioned parameters of low-temperature plasma, experiments were carried out with the location of the probe at a distance of 5 mm, 9 mm and 11 mm from the center of the plasma beam at different energies of the primary electron beam in the range from 0.5 keV to 5 keV.

The experiments results showed a smooth decrease in plasma concentration in the radial direction.

The article presents the results of studies of physico-chemical and organoleptic parameters of various types of poultry meat. One of the important indicators in determining the quality of raw materials and when choosing them as raw materials for further processing is its physico-chemical properties and organoleptic indicators. Under laboratory conditions, the results of a study were obtained to determine the physico-chemical parameters (moisture, protein, fat, ash, pH, moisture binding ability of minced meat), organoleptic parameters (appearance, color, smell, consistency, transparency and aroma of broth, juiciness) of the quality of poultry meat of various types. The most commonly consumed types of poultry meat were purchased as research samples: broiler poultry, turkey meat and duck meat. According to the results of the study of physico-chemical studies, it was found that turkey breast fillet contains more protein and less fat than broiler breast fillet and duck. The highest moisture binding capacity was observed in turkey meat 78.3%. The pH results of the studied samples showed the value of fresh meat suitable for further processing for the production of meat products. The article also presents the results of a comparative assessment of the biological value of poultry meat. The results of the study make it possible to assess the quality of regional raw materials.

In this review, we discussed the design and manufacture of point-of-care test (POST) devices for the detection of microbial pathogens, including bacteria, viruses, fungi, and parasites. Electrochemical methods and current advances in the field were highlighted in terms of integrated electrochemical platforms, which include mainly microfluidic based approaches and integrated smartphone and Internet of things (IoM) and internet of medical things (IoMT) systems. In addition, the availability of commercial biosensors for the detection of microbial pathogens will be reported. At the end, challenges in point-of-care (POC) biosensor fabrication and expected future advances in biosensor technology were discussed. Integrated biosensor-based platforms with IoM/IoMT typically collect data to track the spread of infectious diseases in the community, which would be useful in terms of better preparedness for current and future pandemics and is expected to prevent social and economic losses.

In the last decade, the science of biosensors has made tremendous progress in diagnosing diseases. Drug-resistant bacteria are outperforming drug discovery efforts, jeopardizing modern antibiotics and threatening many inevitable medical procedures that are taken for granted. Combating this worldwide threat will require the invention and application of ever-wider diagnostics of infectious diseases.

Big data and business analytics are trends that are positively affecting the business world. This comprehensive review article explores the shifting paradigms and dynamic trends within Big Data Technology (BDT), predominantly for last 5 years, based on an extensive literature review and comparative analysis methodology. It elucidates the transformative influence of big data analytics (BDA) in various sectors, emphasizing the rapid ascendance of cloud computing, Artificial Intelligence (AI) integration, and development of sophisticated analytics tools. The review leverages a wealth of academic literature and market research to underscore the predicted expansion of the big data market. This projected growth indicates the widespread adoption of BDT across industries, with healthcare becoming a significant consumer, motivated by the demand for personalized medicine and improved patient care. The review then navigates emerging trends such as open data usage and ethical concerns surrounding big data, indicating the increasing necessity for stringent guidelines for data use and robust individual data control mechanisms. This is derived from a methodical analysis of recent scholarly articles and industry reports. The article also scrutinizes the evolving definition of "big data" through comparative study of the 3V model and the expanded 7V model in various literature sources, reflecting the evolving nature of data and the unique challenges introduced by modern big data analytics. The review also outlines the challenges for successful implementation of big data projects and highlights the current open research directions of big data analytics. The reviewed areas of big data suggest that good management and manipulation of the large data sets using the techniques and tools of big data can deliver actionable insights that create business values.

The article presents the results of the research and development of a cross-platform application for watching movies and TV series with Chat GPT AI integration. In today's world, choosing movies and TV series is becoming increasingly difficult due to the huge amount of content available. Users are looking for tools that will help them find and enjoy interesting films and TV series. The main contribution of this article is the presentation of a developed cross-platform application that combines the ability to watch movies and TV series with ChatGPT artificial intelligence. The app provides unique features including powerful search and content filtering, personalized recommendations based on user preferences, and the ability to interact with ChatGPT for recommendations and communication. We take an in-depth look at key aspects of the app, including its functionality and user interface, and provide technical details and solutions used in development. Particular attention is paid to machine learning technologies and algorithms used to improve the quality of recommendations and enrich the user experience. This article not only introduces the entertainment aspect, but also demonstrates how combining entertainment and artificial intelligence can make the user experience in the world of streaming content more interesting and satisfying. We invite readers to review the research details and technological aspects of this innovative project.

One of the ways to expand the production of high-octane unleaded gasoline is the use of oxygen-containing components (oxygenates). The addition of oxygenates increases the detonation resistance, especially of light fractions, the completeness of gasoline combustion, reduces fuel consumption and reduces the toxicity of exhaust gases. It was found that such an amount of oxygenates, despite their lower calorific value compared to gasoline, does not adversely affect the energy performance of engines. Oxygen-containing additives are complex and simple esters of monocarboxylic acids, higher alcohols, oxidized hydrocarbon fractions containing mixtures of acids, alcohols and esters, and oxyethylated compounds. Because of its high octane number, which allows the compression ratio to be increased to 16, methanol is used to fuel racing motorcycles and cars.

The effect of ethynylcyclohexanol (ECH) and methyl tret-butyl ether (MTBE) on increasing the octane number of gasoline compositions has been evaluated by increasing the octane number of a 50:50 and 20:80 mixture of straight-run gasoline and reforming gasoline. It has been shown that ECH is an effective oxygen-containing additive (oxygenate) for increasing the octane number of gasoline compositions, compared with MTBE.

In the research and production company "PlasmaScience" (Ust-Kamenogorsk, Kazakhstan) a new laboratory linear plasma installation KAZ-PSI (Kazakstan plasma Generator for Plasma Surface Interactions) for studying the interaction of plasma with material has been developed and built. The article describes some features of the developed experimental setup for the study of surface-plasma interactions. The main elements of the linear plasma setup are an electron-beam gun with a LaB6 cathode, a plasma-beam discharge chamber, an interaction chamber, a target device, and an electromagnetic system consisting of electromagnetic coils. The KAZ-PSI facility allows generating continuous plasma of hydrogen, deuterium, helium, argon and nitrogen. The electron density of the plasma is in the range of the order of 10¹⁷ -10¹⁸ m^-3 and the electron temperature is in the range of 1 to 20 eV. The incident ion energy is controlled by applying a negative bias of up to 2 kV to the target. Experiments on irradiation of tungsten with helium plasma were carried out for the first time at the KAZ-PSI facility. The paper presents the results of studies conducted to study changes in the tungsten mixture. The results have shown that after helium plasma irradiation the morphology of tungsten surface changes and relief is created on the surface due to atomisation of the surface by helium ions, as well as due to the formation of blisters.