درخت حوزه‌های تخصصی

The inefficiency of the national security system is one of the biggest threats to Ukraine's national security. The strategic planning in the field of security and defense has designed to identify the means, including the future structure of forces, that would allow the institutions of the defense and security sector to effectively deal with potential future threats. The purpose of this study is development of theoretical and practical measures to increase the effectiveness of strategic management of national security processes on the basis of goal setting, forecasting and planning in the context of informatization of society. The relevance of this study is due to the needlegal regulation and improvement of the state system of strategic planning of national security of Ukraine. To achieve the goal of the study was used special scientific methods of legal knowledge. The results of the analysis showedwhat in the basis ensuring national security must rely on the principle of systematization, which means that the security and defense sector of Ukraine is considered as a single object of forecasting and planning. This study substantiates the main directions systemic reform of the security and defense sector, which has carried out in Ukraine to ensure the protection of the constitutional order, sovereignty, territorial integrity of the state in the face of armed aggression. The priorities should be implemented through key tasks, such as the establishment of a comprehensive strategic analysis of military threats to Ukraine's national security, coordination of intelligence activities, development of joint intelligence capabilities of the defense forces in order to obtain complete and reliable warning information for timely decision-making guaranteeing the military security of the state.

Digital technologies are actively implemented in all areas of tourism. The article identifies the main areas of balancing interests in the field of tourism on the basis of optimization of digital marketing tools. Analytical research has shown that a set of sales channels in the Internet environment and a set of tools are formed, depending on the marketing strategy of the travel company. The main tactics and tools of digital marketing in tourism are highlighted. These are: the company's website, digital marketing channels - online channels for promoting and attracting customers: SEO, online advertising, email marketing, sales funnel, content marketing, teaser advertising, SMM, etc. The study proposes the application of portfolio investment theory to optimize investment in digital marketing tools to achieve a specific goal. The article uses a method of building a mathematical model that will optimally distribute financial investments in digital marketing. Thus balancing of interests in the field of tourism on the basis of digital marketing tools is offered on the basis of KPI indicators, according to the allocated purposes.

Available research suggests using Blockchain in electronic medical files to aggregate and integrate information. While reviewing authoritative articles and books, we analyzed the challenges and opportunities of using Blockchain this way. By using the specialists' opinion, completing a specialist questionnaire, using the DEMETEL technique and interpretive structural modeling (ISM) technique, this research investigated and analyzed the possibilities of using Blockchain in electronic medical files. The pair comparison technique was used to study and analyze the challenges of using Blockchain this way. The results are stated in this research. Research achievements include the design of a model using Blockchain for electronic medical files, analysis of Block chain's opportunities and challenges, measurement of the components, design and presentation of the model, and prioritizing the challenges of using Blockchain. This research suggests that the use of Blockchain in electronic medical files can reduce extra costs, create a comprehensive system for medical records to avoid additional costs, facilitate access to patient information, and reduce medical errors. The results obtained reveal that the components of immutability and the impossibility of data forgery of patient records (based on data integration in Blockchain) have the most impact on the system. Examination of the challenges reveals that blockchain technology's challenges (low speed, difficulty working with Blockchain, poor integrations between the software for various electronic health records) are of the utmost importance.

The blockchain's immutability has allowed previously centralized operations to operate in a new way. The possibility of applications having a new architecture is given thanks to the innovative properties of the technology, which brought alternative control designs for distributed systems and allowed applications to work without the need for a central controlling point. The expansion of blockchain to other areas beyond cryptocurrencies has shown the need for applications to implement solutions to deal with corrective operations. Blockchain 3.0 applications bring new solutions for business needs. However,  as opposed to immutability, the revoking functionality is much more complex to be implemented in this type of architecture, but paramount to applications resilience, allowing faulty or invalid information to be revoked, ensuring thus that the blockchain can still be trusted. This work assesses and discusses revocation mechanisms to contribute to the technical feasibility of several applications, which require corrective operations. We present a model in the academic area, which can be replicated for other types of systems in other areas.

The main aim of this thesis is to investigate the factors that could affect the students to adopt e-learning system in Libyan universities. This study is quantitative approach, a questionnaire was adopted from previous studies and distributed among the students to collect the data. The sample of the study consists 365 students from Libya. AMOS software was used to analysis the data. The results indicated that Performance Expectancy, Efforts Expectancy, Facilitating Conditions, Habit and Trust have significant impact on behavioural intention. Moreover, the relationship between Behavioural intention and use behaviour is also significantly positive. However, the relationship of social influence and behavioural intention was not found significant. Finally, the moderation effect was significant and supported between social influence, trust, and Habit with behavioural intention.

Predicting financial markets has always been one of the most challenging issues, attracting the attention of many investors and researchers. In this regard, deep learning methods have been used a lot recently. Due to the desired results, such networks are always in development and progress. One of the networks that is being implemented in various fields is capsule network. The first time the classification capsule network was introduced, it was able to attract a lot of attention with its success on MNIST data 1 . In such networks, as in the other ones, the parameters are obtained by minimizing a loss function. In this paper, we first change the classification capsule network to a regression capsule network by modifying the last layer of the network. Then we use different information measures such as Kullnack-Leibler, Lin-Wang and Triangular information measures as a loss function, and compare their results with wellknown models including Artificial Neural Network (ANN), Convolutional Network (CNN) and Long Short-Term Memory (LSTM) as well as common used loss functions such as Mean Square Error (MSE) and Mean Absolute Percentage Error (MAPE). Using appropriate accuracy metrics, it is shown that the capsule network using triangular information measure is well able to predict the price of bitcoin for the medium and long term period including 10, 90 and 180 days.