Transformation Vector Research Articles

Forecasting Energy Consumption of a Public Building Using Transformer and Support Vector Regression

Most of the Artificial Intelligence (AI) models currently used in energy forecasting are traditional and deterministic. Recently, a novel deep learning paradigm, called ‘transformer’, has been developed, which adopts the mechanism of self-attention. Transformers are designed to better process and predict sequential data sets (i.e., historical time records) as well as to track any relationship in the sequential data. So far, a few transformer-based applications have been established, but no industry-scale application exists to build energy forecasts. Accordingly, this study is the world’s first to establish a transformer-based model to estimate the energy consumption of a real-scale university library and benchmark with a baseline model (Support Vector Regression) SVR. With a large dataset from 1 September 2017 to 13 November 2021 with 30 min granularity, the results using four historical electricity readings to estimate one future reading demonstrate that the SVR (an R2 of 0.92) presents superior performance than the transformer-based model (an R2 of 0.82). Across the sensitivity analysis, the SVR model is more sensitive to the input close to the output. These findings provide new insights into the research area of energy forecasting in either a specific building or a building cluster in a city. The influences of the number of inputs and outputs related to the transformer-based model will be investigated in the future.

FRF-based probabilistic modal parameter identification of structures with known seismic input

In this study, an FRF based Bayesian approach is presented for modal identification of civil structures with known seismic input. The proposed method utilizes the statistical properties of frequency response function (FRF) of the observed structure which is obtained from the acceleration response (output) and the seismic input recorded at the base level. In this context, first, the joint pdf of prediction error term and seismic input is derived. Then, applying a linear vector transformation, the output term in the derived joint pdf is defined as depending on the FRF and the seismic input. Finally, the marginal probability of FRF is obtained as a complex ratio distribution from the transformed joint pdf. The posterior probability function for modal parameters is obtained by using Bayes’ theorem. The modal parameters are obtained by maximum likelihood estimation of the constructed probability density function. Finally, the posterior uncertainties for modal parameters are calculated. Two numerical and two real data examples are presented to illustrate the computational efficiency of the proposed methodology against input–output and output only techniques.

Трансформация системы среднего профессионального образования — современные запросы и потребности

The modern digital society makes a new demand on all stages of education. It should provide the next level of training for pupils and students, making them ready to face the modern digital world. A modern person needs the ability to extract all the necessary information from various sources, to make quick decisions and deal with numerous digital platforms, software, and content. In this context, the modern educational system must fulfil all these tasks and change the means, approaches, and content of its educational process. Nowadays we can observe these changes on different stages of education in Russia. Technological changes also affected the secondary vocational education system, that is why, it is important to analyze the process of transformation and specify the ways for the most effective and rational organization. Purpose. The main purpose of the article is to define the main aspects and vectors for the transformation of secondary vocational education and to share ideas of the most important directions for the renewal of the whole system of education. Methodology and methods. The methodological basis of the article is the state documents defining the basic principles of modernization of secondary vocational education, like Federal State Educational Standard. The main results of the study. Description and characteristic of the main vectors of transformation with emphasis on the means of digitalization for the needs of the secondary vocational education. Scientific novelty. The essence of the structural problems existing in the current forms and approaches in secondary vocational education. that should be changed to achieve the most possible result including renovation of the existing curriculum and learning programs. Practical relevance. The described vectors of transformation could be represented as steps for further development of the secondary education, taking into consideration the defined problematic fields of the stage of education could be the starting point for renewal.

Development of a set of novel binary expression vectors for plant gene function analysis and genetic transformation.

With the advent of multiple omics and Genome-Wide Association Studies (GWAS) technology, genome-scale functional analysis of candidate genes is to be conducted in diverse plant species. Construction of plant binary expression vectors is the prerequisite for gene function analysis. Therefore, it is of significance to develop a set of plant binary expression vectors with highly efficient, inexpensive, and convenient cloning method, and easy-to-use in screening of positive recombinant in Escherichia coli. In this study, we developed a set of plant binary expression vectors, termed pBTR vectors, based on Golden Gate cloning using BsaI restriction site. Foreign DNA fragment of interest (FDI) can be cloned into the destination pBTR by one-step digestion-ligation reaction in a single tube, and even the FDI contains internal BsaI site(s). Markedly, in one digestion-ligation reaction, multiple FDIs (exemplified by cloning four soybean Glyma.02g025400, Glyma.05g201700, Glyma.06g165700, and Glyma.17g095000 genes) can be cloned into the pBTR vector to generate multiple corresponding expression constructs (each expression vector carrying an FDI). In addition, the pBTR vectors carry the visual marker, a brightness monomeric red fluorescent protein mScarlet-I, that can be observed with the unaided eye in screening of positive recombinants without the use of additional reagents/equipment. The reliability of the pBTR vectors was validated in plants by overexpression of AtMyb75/PAP1 in tomato and GUSPlus in soybean roots via Agrobacterium rhizogenes-mediated transformation, promoter activity analysis of AtGCSpro in Arabidopsis via A. tumefaciens-mediated transformation, and protein subcellular localization of the Vitis vinifera VvCEB1opt in tobacco, respectively. These results demonstrated that the pBTR vectors can be used in analysis of gene (over)expression, promoter activity, and protein subcellular localization. These vectors will contribute to speeding up gene function analysis and the process of plant molecular breeding.

Multiplex CRISPR/Cas9 gene-editing platform in oil palm targeting mutations in EgFAD2 and EgPAT genes

BackgroundCRISPR/Cas9 is the most powerful and versatile genome-editing tool that permits multiplexed-targeted gene modifications for the genetic enhancement of oil palm. Multiplex genome-editing has recently been developed for modifying multiple loci in a gene or multiple genes in a genome with high precision. This study focuses on the development of high-oleic oil palm, the primary target trait for healthy low-saturated oil. To achieve this, the fatty acid desaturase 2 (FAD2) and palmitoyl-acyl carrier protein thioesterase (PAT) genes, both of which are associated with fatty acid metabolism biosynthesis pathways in oil palm, need to be knocked out. The knockout of FAD2 and PAT leads to an accumulation of oleic acid content in oil palms. ResultsA total of four single-guide RNAs (sgRNAs) were designed in silico based on the genomic sequences of EgFAD2 and EgPAT. Using robust plant CRISPR/Cas9 vector technology, multiple sgRNA expression cassettes were efficiently constructed into a single-binary CRISPR/Cas9 vector to edit the EgFAD2 and EgPAT genes. Each of the constructed transformation vectors was then delivered into oil palm embryogenic calli using the biolistic, Agrobacterium-mediated, and PEG-mediated protoplast transformation methods. Sequence analysis of PCR products from 15 samples confirmed that mutations were introduced at four target sites of the oil palm EgFAD2 and EgPAT genes. Single- and double-knockout mutants of both genes were generated, with large and small deletions within the targeted regions. Mutations found at EgFAD2 and EgPAT target sites indicate that the Cas9/sgRNA genome-editing system effectively knocked out both genes in oil palm. ConclusionThis technology is the first in oil palm to use CRISPR/Cas9 genome-editing to target high-oleic-associated genes. These findings showed that multiplex genome-editing in oil palm could be achieved using multiple sgRNAs. Targeted mutations detected establish that the CRISPR/Cas9 technology offers a great potential for oil palm.

Oral booster vaccine antigen-Expression of full-length native SARS-CoV-2 spike protein in lettuce chloroplasts.

Oral booster vaccine antigen-Expression of full-length native SARS-CoV-2 spike protein in lettuce chloroplasts.

Науково-методичне забезпечення формування системи управління взаємовідносинами зі споживачами в цифровому просторі

One of the modern challenges of the organization of marketing activities is the rapid development of digital technologies and information systems as effective tools for promoting products and e-commerce. Therefore, enterprises pay considerable attention to the technological component of business digitalization based on the modernization of IT infrastructure, the introduction of cloud software, and the formation of digital channels using information technology. The key vector of digital transformation should be aimed at increasing the requirements for the level of logistics services, the emergence of new criteria for the quality of logistics services, that is, the formation of a customer-oriented approach to customer relationship management. In view of this, the purpose of this study is to develop scientific and methodological provision of the formation of a system for managing relationships with consumers, taking into account the challenges of the digital environment. To achieve the set goal of the study, the methods of analysis, synthesis, comparison, classification, expert questioning, statistical analysis, structural and logical generalization were used. In the article, the system of management of relationships with consumers is considered as an interrelated set of objects and subjects of management through the implementation of the entire list of functions of management of consumer service processes on the basis of the use of mechanisms of information, organizational and logistical support. The level of use of information and communication technologies in the organization of consumer service processes at Ukrainian enterprises is analyzed. A structural and functional scheme of formation of a system for managing relationships with consumers has been built. The expediency of applying a system approach to the digital transformation of the consumer relationship management system based on the use of information tools and digital channels is substantiated; formation of a qualitatively new culture of marketing communications and omnichannel information environment.

Prerequisites for the adoption and essence of the main provisions of the Concept of Legal Policy of the Republic of Belarus

The article analyzes of the Concept of Legal Policy approved by the Decree of the President of the Republic of Belarus No. 196 dated June 28, 2023. The author characterizes the prerequisites for the adoption of this document: geopolitical conditions, internal political and legal factors, vectors of constitutional transformations. The article reveals the potential of the Concept of Legal Policy as a basis for eliminating negative trends in the development of the legal system of the Republic of Belarus and increasing positive trends, defines the role and significance of the document in the evolution of legal enlightenment and upbringing, education and science. The author substantiates the importance of the Concept of Legal Policy as an ideological matrix of the development of the legal system, enriched with a set of postulates that determine the directions of development of all legal processes in the country.

TRANSFORMATION OF THE INSTITUTIONAL ENVIRONMENT OF INNOVATIVE DEVELOPMENT OF THE PUBLIC ECONOMY

Purpose. The aim of the article is to generalize the trends of the transformation of the institutional environment of the innovative development of the national economy and the features of the institutional support for the development of innovations. Methodology of research. The theoretical and methodological basis of the research is: a systematic approach to the generalization of trends in the transformation of the institutional environment of innovative development; institutional approach to the substantiation of the elements of the regulatory influence of formal norms, oriented towards the development of innovations; structural and functional analysis – to determine the macroeconomic and microeconomic manifestation of post-industrial transformations on the institutional environment. Findings. It is emphasized that for the formation of an effective toolkit for innovative modernization of the national economy, it is important to take into account global factors of economic dynamics, their exogenous and endogenous manifestations. It was established that the modern vector of global transformations, which is already having an impact on the national economy, has become digital modernization, which radically changes the economic relationships of people and the fundamental role of economic resources. It is argued that digitalization generates effects that receive macroeconomic manifestation through the emergence and spread of new business strategies, changes in market conditions, and an increase in labour productivity. At the microeconomic level digitalization leads to a change in the structure and supply of goods production, their quality, logistics and sales conditions, and the interaction of manufacturers. Digital technologies contribute to the emergence of new institutions and institutes and influence existing ones by algorithmizing institutional influence and regulation, minimizing the impact of institutional traps and preventing the emergence of new ones, reducing the stability of existing routines, increasing or decreasing the effectiveness of institutions. Originality. It is substantiated that the post-industrial transformations of the economy and the institutional environment change the structural characteristics, but not the essential purpose of institutions and institutes in innovative development. The processes of digitalization and network interactions contribute to the standardization and algorithmization of institutes, the introduction of "digital institutes"; increase the efficiency of established institutes and institutions; create new dysfunctions due to the opportunistic behaviour of economic subjects; form an institutional "vacuum" due to the proliferation of digital technologies that have not yet become embedded in the institutional environment. In view of the task of innovative modernization of the public economy, in order to exclude the negative impact it is necessary to modernize the institutional environment itself to change the direction of the functional influence of regulatory norms and introduce organizational innovations that can improve the institutional structure. Practical value. The theoretical and methodological provisions of the study deepen the practical principles and tools of institutional regulation of innovative modernization of the national economy. Key words: modernization, innovative development, social economy, transformation, institutional regulation, institute, institution.

MILITARY REALITIES OF THE FISCAL SPACE OF PUBLIC FINANCES IN UKRAINE

Introduction. The new challenges and threats that engulfed Ukrainian society due to russia's aggressive military attack on our country crystallize the new pragmatism of state-building and the rethinking of many scientific foundations of public finances. The purpose of the article is to outline the newest paradigm of the fiscal space of the state's public finances through the prism of scientific and pragmatic approaches to taking into account the security factor in the conditions of external threats and internal challenges in Ukraine. Results. The new substantive content of the definition of the fiscal space of public finances has been substantiated. The strengths and weaknesses of the stability of the economy and public finances of Ukraine to external challenges and internal threats have been analyzed. The validation of tax and debt finances in the fiscal space of public finances of Ukraine has been studied. The vectors of probable transformations of the structure of the elements of the fiscal space are outlined in order to take into account the factor of security and stability. Prospects. Military realities in Ukraine require us to rethink both scientific postulates and practical views on the role of the state in the realm of public finances. Therefore, the subject of further scientific research is the study of the impact of endogenous and exogenous factors on the stability of public finances in the face of external threats and internal challenges, which can be assessed using the proposed pareto-optimal combination of formal and informal institutions of the fiscal space of the state.

КОНЦЕПТУАЛЬНИЙ ПІДХІД ДО ІНСТИТУЦІОНАЛЬНОГО РОЗВИТКУ СЕКТОРУ ЦИФРОВОЇ ЕКОНОМІКИ УКРАЇНИ

The article proposes a conceptual approach to the institutional development of the digital economy sector of Ukraine. The approach envisages the formation and transformation of institutions of the digital economy sector by motivating the consumption, implementation and production of digital technologies on the basis of instrumental solutions for the transition of the economy from "analog" to "digital", measures to implement appropriate incentives for the digitalization of socio-economic life. The ultimate goal is to obtain advantages and benefits in various spheres of human life. The article shows the current negative effects of digitalization of society. It is proved that the development of certain elements of the institutional environment of the digital economy sector is intended to optimize the conditions for the development of society and the economy based on digitalization, and to increase the efficiency of their interaction. The function of the mechanism of economic development is being transferred to institutions based on digital models and processes at all levels of the national economy. It is determined that the design of the institutional environment of the digital economy sector in the national space takes place at two levels: institutional and individual. At the institutional level, socio-political and economic conditions for the development of digital economy institutions are formed on the basis of the development of digital products and technologies. At the individual level, the functional place of a digital product in a person's living space is projected. New vectors of institutional transformations as the basis for the digitalization of Ukraine's economy are proposed: cultural digital imperative, digital technologies of economy 4.0, digital business and social environment; digital adaptation in the labor market, digital cooperation policy, digital knowledge, protection of the legal rights of subjects of the digital economy. The author summarizes the instrumental solutions for the digital transformation of Ukraine's economy, covering the key initiatives for the formation of motivations and needs for digital technologies in the domestic market: fiscal, investment, communication, technological, infrastructure, and educational. The author outlines new development opportunities and positive changes in various spheres of public life: economic, governmental, and social.

ЄВРО-СЕРЕДЗЕМНОМОРСЬКЕ ПАРТНЕРСТВО: ФОРМУВАННЯ ТА ДИНАМІКА ТРАНСФОРМАЦІЙ У КОНТЕКСТІ СУСПІЛЬНО-ПОЛІТИЧНИХ, ЕНЕРГЕТИЧНИХ ТА ЕКОНОМІЧНИХ ВИКЛИКІВ

The article is devoted to the current problem of the Euro-Mediterranean partnership in the context of sociopolitical, energy and economic challenges. The implementation of the Mediterranean vector of foreign policy by the European Union dates back to the 1950s. However, the policy of partnership was actualized only in the 21st century, which is determined by historical, geopolitical, economic, energy and socio-cultural factors. The article describes four stages of the formation and development of the Euro-Mediterranean partnership, defines the vectors, directions, features, forms and mechanisms of cooperation and cooperation. The dynamics of transformations of partnership and interaction strategies between the EU and the Mediterranean states are analyzed. Considerable attention is focused on the study of the impact of modern socio-political, economic, energy factors and historical events on the effectiveness of the Euro-Mediterranean partnership. Special attention is focused on the problems of illegal migration to the EU from the conflict zones of North Africa and the Middle East. The settlement of migration problems is considered as an actual vector and dimension of the Euro-Mediterranean partnership. In the context of modern regional and global challenges, the dynamics of the transformation of the Mediterranean vector of the European Union's foreign policy have been studied. The article indicates the positive dynamics of interstate interactions. The directions, features, vectors of the foreign policy strategies of the Euro-Mediterranean partnership (liberalization and intensification of trade; creation of a free trade zone between the EU and the countries of North Africa and the Middle East; implementation of investment projects; introduction of innovative technologies, standards; active cooperation and interaction in the energy sector) were comprehensively studied. formation of the regional energy security system). The priority directions of the partnership between the EU and the Mediterranean countries are the implementation of projects on the use of solar energy, the introduction of alternative energy sources, and the settlement of environmental and energy problems. In the context of modern security geopolitical challenges, the goals of the Euro-Mediterranean Partnership are to ensure peace and security; settlement of acute crises and conflicts; democratization of the political systems of the Mediterranean countries; fight against terrorism and illegal migration.

Deep Learning with Natural Language Processing Enabled Sentimental Analysis on Sarcasm Classification

Sentiment analysis (SA) is the procedure of recognizing the emotions related to the data that exist in social networking. The existence of sarcasm in textual data is a major challenge in the efficiency of the SA. Earlier works on sarcasm detection on text utilize lexical as well as pragmatic cues namely interjection, punctuations, and sentiment shift that are vital indicators of sarcasm. With the advent of deep-learning, recent works, leveraging neural networks in learning lexical and contextual features, removing the need for handcrafted feature. In this aspect, this study designs a deep learning with natural language processing enabled SA (DLNLP-SA) technique for sarcasm classification. The proposed DLNLP-SA technique aims to detect and classify the occurrence of sarcasm in the input data. Besides, the DLNLP-SA technique holds various sub-processes namely preprocessing, feature vector conversion, and classification. Initially, the pre-processing is performed in diverse ways such as single character removal, multi-spaces removal, URL removal, stopword removal, and tokenization. Secondly, the transformation of feature vectors takes place using the N-gram feature vector technique. Finally, mayfly optimization (MFO) with multi-head self-attention based gated recurrent unit (MHSA-GRU) model is employed for the detection and classification of sarcasm. To verify the enhanced outcomes of the DLNLP-SA model, a comprehensive experimental investigation is performed on the News Headlines Dataset from Kaggle Repository and the results signified the supremacy over the existing approaches.

High precision ray tracing method for space camera in optical design

Ray tracing plays a key role in lens design area, and it is an important tool to study the problems in physics like optics. Nowadays, ray tracing becomes ubiquitous and is widely used in optical automatic design, such as aberration analysis, optimization, and tolerance calculation. With the impulse of application requirements, optical systems like space camera develop towards large scale, high degree of accuracy and complication. The magnitude of aberrations increases exponentially with the growth of focal length and aperture, even a minor perturbation error can result in severe degeneration of image quality. As a consequence, the stringent requirements for precision, accuracy and stability of ray tracing turn higher. Reliable commercial software, for example, America’s Zemax, has high precision in ray tracing, because of commercial purpose, the process of ray tracing is a black box. It is now more important to understand what error factors are formed for ray tracing, and how these running errors can be reduced effectively. In this paper, from floating point arithmetic perspective, an error model for ray tracing is provided. This error model is suitable for not only meridional rays, but also skew rays. Starting from IEEE Standard for Binary Floating-Point Arithmetic, presentation error and rounding error are analyzed, followed by the computation process of ray’s intersection point with a quadratic surface, then rounding error expression for the intersection point is presented. In addition, error expression for distance along the ray from the reference surface to the next surface is also induced. These two error expressions are called error model, and it clearly indicates that spatial coordinates on the reference surface, direction vector and distance between the two adjacent surfaces are the main error sources. Based on the error model, some of effective measures, for instance, reprojection, spatial transformation, and direction vector’s normalization are taken to reduce the rounding error. Moreover, in the process of solving quadratic equation, conjugate number method is utilized in order to avoid increasing substantially in relative error called catastrophic cancellation. Numerical experiments and classical optical design for space camera are also given. From numerical computing view, two precision tests based on Multiple Precision Floating-Point Reliable (MPFR) library are introduced to verify our method mathematically. The experimental results show that our algorithm has the same precision (14 significant digits) as MPFR, while the existing method fails to pass tests, and has only 8 significant digits at most. Moreover, both the Cassegrain space camera and off-axis three-mirror-anastigmat space camera are used to illustrate our method’s accuracy. Experimental results indicate that our method has higher precision, more than 5 to 6 orders of magnitudes than the existing method. In addition, our algorithm has higher precision than the commercial optical design software Zemax, and residuals are 3 orders of magnitudes on average less than Zemax.

Lower Limb EMG Signal Analysis Using Scattering Transform and Support Vector Machine for Various Walking Conditions

Lower Limb EMG Signal Analysis Using Scattering Transform and Support Vector Machine for Various Walking Conditions

Secure Medical Image Communication Using Fragile Data Hiding Based on Discrete Wavelet Transform and A₅ Lattice Vector Quantization

Secure communication of medical images is essential to telemedicine. Message Authentication Codes (MAC) can be embedded inside medical images to protect their integrity. Fragile watermarking algorithms are suitable options since they can be used to detect any tampering attempt. In this paper, a novel fragile data-hiding algorithm based on Integer-to-Integer Discrete Wavelet Transforms (IIDWT) and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$A_{5}$ </tex-math></inline-formula> Lattice Vector Quantization (LVQ) is proposed. In the proposed data-hiding algorithm, a combination of the medical image Metadata and a MAC is embedded into the medical image. The Metadata includes information about the patient such as name, family, birthday, the place where it is created such as the name of the hospital, and the physician’s name. To preserve the privacy of the patients and the physician/hospital, the Metadata is then replaced with fake information. The receiver can extract the Metadata and the MAC. If the extracted MAC is the same as the expected MAC, the integrity of the medical image is guaranteed. Otherwise, a tampering attempt is detected. The proposed algorithm can embed 50% more data than similar algorithms in medical images while keeping the Peak Signal to Noise Ratio (PSNR) in acceptable ranges. Furthermore, the proposed algorithm is applied to a dataset of medical images and high PSNR values above 53.88 dB are experienced.

Analysis of ECG-based arrhythmia detection system using machine learning

The 3D Discrete Wavelet Transform (DWT) and Support Vector Machine (SVM) are used in this study to analyze and characterize Electrocardiogram (ECG) signals. This technique consists of three stages: ECG signal preprocessing, feature extraction, and ECG signal order. The 3D wavelet transform is a signal preprocessing technique, de-noising, along with wavelet coefficient extraction.•SVM is used to categorize the ECG through each of the nine heartbeat types recognized by the various classifiers. For this work, around 6400 ECG beats were looked at over the China Physiological Signal Challenge (CPSC) 2018 arrhythmia dataset.•The best degree of exactness was acquired when level 4 rough constants with Symlet-8 (Sym8) channel were utilized for arrangement. Utilizing the ECG signals from CPSC 2018 data set, the SVM classifier has a normal precision of 99.02%, which is much better than complex support vector machine (CSVM) 98.5%, and weighted support vector machine (WSVM) 99%.•The suggested approach is far superior to others in terms of accuracy, and classification of several diseases of arrhythmia.

Megatrends of Latin America&amp;apos;s development and Russia&amp;apos;s economic interests

Against the background of the main global transformations and from the point of view of Russia&amp;apos;s interests, the article analyzes the main trends (megatrends) characterizing the state and prospects for the development of Latin American countries. The author shows the configuration of the modern regional economic order, fixes the main landmarks, problematic topics and systemic intrigues of the current strategy of economic growth. The study focuses on new phenomena that determine the vector of transformations of key sectors of the Latin American economy - industry, finance, energy, mining, agriculture. It is shown that the focus of efforts of the state and the business community is shifting towards the priority development of those sectors whose products are especially in demand in regional and world markets. In each case, the possibilities of participation of Russian companies in the process of regional modernization are identified, as well as the difficulties and barriers faced by domestic business in the acute competition for Latin American markets. Special attention is paid to the attempts of overcoming regional political delimitation and updating the mechanisms and formats of intra-Latin American trade and economic cooperation. It is proved that there is no alternative to a new unifying economic strategy of the countries of the region, which imperatively includes a reboot of the stalled integration processes. The result of the analysis is that the consolidation of the trend of changes in the Latin American economy requires from the Russian state and business in many respects innovative and comprehensively calculated foreign economic decisions that take into account the new realities of Latin America and meet the long-term national interests of Russia.

СТРАТЕГІЯ ІНСТИТУЦІОНАЛЬНОГО РОЗВИТКУ СЕКТОРУ ЦИФРОВОЇ ЕКОНОМІКИ

Digitalisation initiatives and strategies are part of the country's overall efforts to adapt to the digital economy and society, as well as to increase its competitiveness at the national and global level. The article is concerned with developing a methodological approach to the formation of a strategy for the digital economy sector based on the development of elements of the institutional environment. The methodological basis of the study is modern economic institutional theories, the object of analysis of which is the institutional dynamics of the environment. The paper proposes a vision of integrated strategic planning that integrates a set of strategies - a portfolio of strategies at different levels, sectors and economic agents, formed to achieve specific goals of digital transformation. It is determined that the overall strategy consists of three elements: a strategy for the development of the DES, a strategy for the transformation of traditional sectors of the economy based on the introduction of elements of the digital economy; a strategy for the development of digital space. Based on the analysis of the digitalisation experience of developed countries, it is established that the basis of digital transformation should be a combination of strategies of horizontal integration along value networks, vertical integration, product diversification, digital interaction and standardisation. It is established that in the long term, the overall strategy determines the vectors of transformation of institutions aimed at modifying the characteristics of the architectonic elements of the institutional environment of the DES through the formation and implementation of institutional mechanisms. From the standpoint of institutional theory, the author identifies the vectors of institutional design: cultural digital imperative; industry 4.0 / X.0 technologies; digital business and social environment; digital adaptation in the labour market; digital cooperation policy; digital knowledge; digital living space; protection of legal rights of digital economy actors. The strategy ensures the digital transformation of the institutional environment of DES through the design and self-development of its components in order to meet the needs of the population, build a competitive national economy, and strengthen the resilience and strategic autonomy of the national economy.

Institute for the Study of Islamic Thought and Civilizations as an actor in the process of Islamization in modern Indonesia

The presented article analyzes the features of development and the main vectors of transformation of conservative Islam in modern Indonesia in contexts of the activities of the organization known as the Institute for the Study of Islamic Thought and Civilizations (INSISTS). INSISTS is supposed to be the intellectual center of contemporary Islamic traditionalism in Indonesia. The article analyzes the problems of the intellectual agenda of conservatives, including the ideas of the Islamization of science, the rejection of liberal Islam and the criticism of feminism. The article considers the main directions of Muslim conservatives activity as a reaction to the modernization of the Ummah and the temporary success of liberal Islam, although its influence on Muslims was extremely limited. It is believed that INSISTS appeared as an attempt to institutionalize and legitimize conservative and traditionalist trends in modern Indonesian Islam in the form of their expansion into the space of scientific knowledge and political criticism. It is shown that INSISTS, as a formally conservative institution, actually uses liberal discourse, trying to actualize the contemporary problems related to gender and feminism in the political agenda of traditionalists. Therefore, it is assumed that the conservative trends in the modern history of the Indonesian Ummah actualize the significant adaptive potential of the traditionalists.