The article discusses the method of physical and technical functional analogy for the mathematical description of the functioning of biological organs and systems, and provides mathematical models of biotechnological objects. These models were used to obtain new information in the scientific and industrial spheres, to study a biological object without exerting strong (and even more destructive) energy effects on it using neuro-fuzzy systems and intelligent technologies for automation, including for controlling objects in applied biotechnology for biogas production.
27.01.2024 Volume 3 Issue 1 View more Download
The process of extracting and identifying patterns from massive data sets using techniques that lie at the confluence of database systems, statistics, and machine learning is known as data mining. The overall objective of data mining, an interdisciplinary branch of computer science and statistics, is to extract information from a data collection (using clever techniques) and organize it into a structure that can be understood and used further. In this work, we will analyze the online retail data using data mining techniques to generate customer preferable sets to improve the company's overall income.
21.01.2024 Volume 3 Issue 1 View more Download
Currently, renewable energy plays a vital role in the modern global economy to improve affordable soft and cheap energy. Additionally, growth of the population, dependent on import energy and shortage of natural resources, conflicts between countries (Russia and the Ukraine) and sanctions force to solve the energy problems globally. Considering the generation of renewable energy between costs on it, we investigate how much investment on renewables increases dependent respectively. We explore the effect of capital costs from government or investment on renewable energy generation, using data from 72 Eurasian nations for 2019, taking into consideration investment cost variables. We use levelized cost of electricity (LCOE) estimation to tuck up costs of variables which included capital, operation and maintenance. Besides, we include modeling other variables to show the estimating capital variable, and the results were almost unchanged. We use cross sectional secondary data from the sites Global Economy and Our World in Data, report of IRENA and the study reveals the positive relationship with initial investment which refer to improving this type of energy sector. Though, operation and maintenance costs are implicit and not concrete because of different types of plants to generate the energy, for instance, in solar PV labor costs are taken 15% to 20% from the generation in a year, in wind or hydro production of energy are different as well. In operation and maintenance costs are fixed and variable costs that subtracted from generation and equalized per year. According nebulosity, the operation and maintenance costs are omitted in our research. Finally, we checked for robustness standard error tests to avoid heteroscedasticity
21.01.2024 Volume 3 Issue 1 View more Download
This article examines the passenger transport network of the city of Osh. Passenger transport was mapped using the ArcGIS program. An analysis of the operation of the city's public transport was carried out using Spatial analyst tools. Based on the results of the network analysis, the provision of the population with public transport was determined. When organizing passenger transportation, the main problems were identified, including non-compliance with the traffic schedule, which leads to an increase in the travel time of passengers on transport, systematic violations of traffic rules, excessively long stops at key stopping points due to an increase in transport on the roads, etc.
17.01.2024 Volume 3 Issue 1 View more Download
This article discusses how the implementation of digital economy tools for industrial enterprises can reduce time to market, improve the quality of products and services, and enable new business models, which can help manufacturers improve production processes, reduce costs, and increase their competitiveness in the market.
17.01.2024 Volume 3 Issue 1 View more Download
In this research work, the IR spectra of the reagent molecules that react to synthesize N, N'-hexamethylene-bis-[(o-cresol)-carbamate] i.e., MEE-1 were studied by the attenuated total internal reflection method. The length and strength of bonds between bis-carbamate atoms were studied and calculated using the quantum chemical method. During the work, the similarities between the spectra of bis-carbamate and other substances were studied using international databases. As a result, absorption spectra of functional groups such as amine, methyl, carbonyl, aromatic, and ether, characteristic of carbamate groups, were identified, which proves the structure of bis-carbamate MEE-1.
14.01.2024 Volume 3 Issue 1 View more Download
In the process of transforming the economy of the Republic of Uzbekistan, the creation of textile and sewing-knitting complexes, the production of finished products with high added value, the expansion of volumes and types of products that are in high demand in the domestic and foreign markets, as well as providing employment for the population are being carried out. An analysis of the work carried out in the field will help develop measures to eliminate shortcomings in the field.
14.01.2024 Volume 3 Issue 1 View more Download
This research, conducted by a sole author within the digitalization of the Uzbek industrial sector, focuses on strategic management and optimization of business processes in industrial enterprises. The main methodology of the study is an analytical approach with an emphasis on the transition of enterprises to active use of digital technologies. The findings provide valuable data for developing tools to modernize production processes in science-intensive enterprises. The author develops a unique approach to analyzing the digital economy and proposes algorithms for solving current problems of digitalization, particularly in science-intensive production. The study is significant for scientific understanding of digital transformation and for developing strategies to implement digital technologies in this sector with the aim of sustainable development and increased competitiveness
14.01.2024 Volume 3 Issue 1 View more Download
In the framework of the advancement of the knowledge economy, innovation and digital technology play crucial roles. Simultaneously, there is an ongoing question on the relative importance of each of these elements. To examine this matter, the article examines the statistics on 9 Commonwealth of Independent States (CIS) republics. The modelling findings indicate that the components exhibit comparable significance, implying a reciprocal association between innovation and the degree of digitalization. Hence, a 10% enhancement in the innovation ecosystem may lead to a maximum 3% increase in the degree of digitalization. Simultaneously, an inverse relationship exists: a 10% rise in the adoption of digitalization leads to a 2% boost in innovation.
14.01.2024 Volume 3 Issue 1 View more Download
New and modern areas of analytical chemistry in the field of detection of non-ferrous metals are currently being developed. This article presents methods for the spectrophotometric determination of manganese ion, one such metal. It is important to note that the colored substance indigo, which belongs to the class of organic compounds, was used as a reagent. The optimal conditions for analysis were found , the composition and stability constants of the manganese complex (+ 2 ) with the analytical reagent indigo were determined
11.01.2024 Volume 3 Issue 1 View more Download
SCIENCE & INNOVATION