Theoretical Aspects Research Articles

Theoretical and Practical Aspects of Data Asset Monetization in Maritime Enterprises

Theoretical and Practical Aspects of Data Asset Monetization in Maritime Enterprises

Cultivating ornamental fish: an entrepreneurial action with sustainable development, sustainability and local development

In this bibliographical research, we analyzed the theoretical and functional aspects aimed at creating public policies that encourage solutions aimed at the cultivation and commercialization of ornamental fish based on local development, aligned with the Sustainable Development Goals – SDGs. The article has the following structural architecture – introduction followed by the literature review, where the themes are addressed – local development, sustainable development and sustainability and entrepreneurship. The methodology that guided it has basic elements in the integrative review, with Scielo and Periódicos Capes databases whose analysis sought to inspect articles published in the period from 2007 to 2023. The results and discussions are presented based on the survey carried out, the texts that include the theme of this study on entrepreneurship and local and sustainable development, presented in the table with articles related to the topic addressed.

Us and IT: Capacity-building for blended learning

When Victoria University (VU) Australia, adopted a new learning management system (LMS) as part of its Blended Learning Strategy and Operational Plan in 2014, it introduced a range of support structures including a staff support and training program. Complementing this, the Graduate Certificate in Higher Education (the course providing professional development for early career academic staff) offered an elective AET4010 Blended Learning Design and Development fusing the pedagogical and theoretical aspects of blended learning to foster teaching as a design science. In this study we investigate the effectiveness of AET4010 in developing participants’ capacity to design and, develop blended learning. In this paper we report on the data from the first stage of this investigation. Data is derived from assessment rubrics. Complementary qualitative data will be collected in the second stage via interviews conducted after the participants complete the unit. We analyse our findings against the JISC Building Digital Capability Framework mapped to the UK Professional Standards Framework. This Framework identifies early career academics’ capabilities (Associate Fellows). The emerging findings indicated the value of capacity building through a structured unit of study enabling participants to experience learning from their own learner’s standpoint while reflecting on pedagogical perspectives and ‘teaching as design’.

ОЦІНКА ОБЧИСЛЮВАЛЬНОЇ СКЛАДНОСТІ ГЕНЕТИЧНОГО АЛГОРИТМУ

The article is devoted to the estimation of computational complexity of a genetic algorithm as one of the key tools for solving optimisation problems. The theoretical aspects of computational complexity of algorithms and the interrelation of elements of a genetic algorithm are considered. The main types of computational complexity of algorithms are described: time, simple and asymptotic. Five basic rules for calculating the asymptotic complexity are given. A mathematical apparatus for estimating the asymptotic complexity of a genetic algorithm is presented, which takes into account the costs of forming the initial population and performing evolution. Evolution occurs through iterations, during which generations of individuals are subjected to certain operations in order to find an optimal solution (crossing, mutation, chromosome decoding, etc.). GA, as a global search algorithm, is considered to find the optimal path without getting stuck in local minima. To assess the computational complexity of GA, we consider solving the traveling salesman problem (TSP) for 28 cities of Ukraine using a modified TSPLIB library and the DEAP platform created in the Python programming language. A block diagram of the GA is presented, the main elements of which are the tournament selection operator, the ordered crossover operator, and the inversion mutation operator. The influence of the population size and the number of generations on the asymptotic complexity of the genetic algorithm in solving the TSP problem is studied. The study considered changing the size of the GA population from 50 to 500 with a step of 50, while for each such value four sets of the number of generations were modelled: from 50 to 200 with a step of 50. Based on the obtained results, we show a linear dependence of the GA execution time on the size of the considered input data. It is shown that the smallest time complexity of the presented GA for the given TSP problem is 0.33848 seconds with a population size of 50 and a similar number of generations, while the largest value is 3.752734 seconds with a population size of 500 and a number of generations of 200. The obtained results can be used to optimise the performance of a GA in the TSP problem.

Theoretical and legal analysis of the operation of law during martial law in Ukraine

The article examines the theoretical and legal aspects of the operation of law during martial law in Ukraine, which arose in connection with Russian aggression in 2022. The author analyzes the constitutional foundations and peculiarities of the operation of law under martial law, and examines the peculiarities of legislation and its application in Ukraine. Particular attention is paid to restrictions on constitutional rights and freedoms of citizens under martial law, such as freedom of movement, the right to peaceful assembly, and others. The article contains proposals for improving the legal regulation of martial law in Ukraine in order to ensure national security and protect the rights and interests of citizens. In continuation of the analysis of the theoretical and legal aspects of the operation of law during martial law in Ukraine, the article examines the mechanisms of institutions responsible for implementing legislation in times of crisis. Particular attention is paid to the role of the authorities in ensuring compliance with the rights and obligations of citizens during martial law, as well as the importance of defining procedures and control over the restriction of constitutional rights and freedoms during this period. Additionally, the article analyzes international experience and standards in this area in order to offer recommendations for improving Ukraine's domestic legislation in the context of protecting the rights and freedoms of citizens during martial law. Such an approach is aimed at ensuring national security and ensuring law and order in a crisis situation arising from aggression. The main task of law during martial law is to ensure national security and protect the rights and freedoms of citizens. However, this must be done in compliance with the basic principles of the rule of law, including transparency, legality, proportionality of measures and guarantees of judicial protection of citizens' rights. Only such an approach will ensure the effectiveness of management measures in a crisis situation, while preserving the basic values of the legal system.

Exploring Stylistic analysis of lexical layer: An In-depth Study of Abdul Qayum Qawim's Poetry

The 'multi-layered stylistics' approach is a contemporary method for examining and evaluating the lexical, phonetic, syntactic, rhetorical, and ideological aspects within a text. Through the application of multi-layer stylistics, it is possible to discern the distinctive characteristics of an individual's style, thoughts, and ideologies that shape a poet or writer's written compositions. The aim of this study is to analyze and assess the lexical characteristics of a poem compilation written by Abdul Qayum Qawim. The objective is to determine the degree to which a thorough analysis and study of complex notions, such as sensuous, abstract, wonderful, slangy, and others, has been conducted at the level of language. The research employed a descriptive-analytical strategy by utilizing the library technique. This work meticulously analyzes the lexical layer of Abdul Qayum Qawim's poetry using a comprehensive stylistic analysis approach. The research is structured into two primary sections: initially, a comprehensive analysis of the poem's lexical layer is undertaken, followed by a meticulous examination of the poem's theoretical aspects. This study explores the concepts of ideology and investigates several themes like moral evaluation, societal dissatisfaction, pessimism, the passage of time, lack of mutual comprehension, concern towards instability, and the avoidance of hypocrisy. Its aim is to enlighten the general public through the use of uncomplicated poetry that highlights the abundance and vitality of spring. The research indicates that the poet exhibited a profound comprehension and extensive knowledge of contemporary affairs by skillfully portraying diverse social realities through the significance of his verses. Furthermore, the poet's method demonstrated a keen focus on the underlying meanings inside the text, highlighting the convergence of time, conceptual ideas, and human experiences, alongside the utilization of descriptive language that appeals to the senses.

The objective side of the crime of unfair competition: theoretical and practical aspects

The objective side of the crime of unfair competition: theoretical and practical aspects

The shock wave evolution of the laser-induced breakdown under non-spherical symmetry using a 1064 nm nanosecond laser

In acoustics-related interdisciplinary areas, the shock wave of laser-induced breakdown has garnered significant attention. However, research on the propagation of shock waves in non-spherical symmetry is insufficient in both theoretical and experimental aspects. This paper aims to thoroughly study the evolution of underwater shock wave directivity by employing the method of shadowgraph. The shock wave front is determined by the dark fringes in the shadowgraph image and the normal propagation speed of the shock wave is calculated using Huygens principle. Subsequently, normal propagation speed is converted to pressure in different directions by employing the equation of state of the medium. It has been found that the spherical plasma produces an isotropic shock wave, whereas filamentary plasma generates a highly anisotropic one. To evaluate the anisotropic property of the shock wave, we introduce pressure directivity, which is defined as the pressure at any direction normalized by the maximum value. The temporal evolution of shock wave pressure directivity is obtained based on the shadowgraph images. In the case of filamentary plasma, there is a sudden transition of the pressure directivity in the axial from 40 ns to 165 ns, after which the pressure directivity is consistent with the hydrophone measurement. Based on the moving breakdown model of the plasma and the superposition principle, we propose a theoretical model to explain the experimental result of the pressure directivity. The outcome of our model exhibits considerable consistency with the experiment.

Conceptual platform and applied aspects of interaction between government and business agencies in the Republic of Kazakhstan

The focus of the article is the evaluation of the interaction between regional state bodies and business structures in Kazakhstan, specifically in terms of the development of public-private partnerships. The purpose of the research is to enhance the understanding of the theoretical and practical aspects of the mechanism of interaction between the state and business structures. Through an examination of the various structural components of the partnership development strategy, the study aims to identify the elements of the mechanism for the implementation of the state and business development strategy. Additionally, the research seeks to establish the correlation between the outcomes of the joint entrepreneurship mechanism and the criteria used to evaluate the performance of regional state bodies. To assess the effectiveness of the interaction between business and government at the regional level in Kazakhstan, a survey-based evaluation was conducted to measure the satisfaction levels of public utilities, entrepreneurs, and businesses with the activities of local authorities. The survey also evaluated the degree of corruption among local authorities. A matrix of interaction between business and government was created, and various models and algorithms for the interaction between government representatives and business structures were studied. The research findings highlight the importance of enhancing the collaboration between the state and the business sector, promoting the implementation of public-private partnerships, and establishing social partnerships to cultivate mutually beneficial relationships.

Experimental and theoretical investigation of shear lag effect in twin box‐shaped composite girders of long‐span cable‐stayed bridges

AbstractSteel‐concrete composite box girders offer notable advantages such as high stiffness, excellent torsional performance, and light self‐weight, making them prevalent in large‐span bridges, particularly in cable‐stayed configurations. However, a persistent challenge arises from the shear lag effect in the concrete slab within the flanges induced by shearing interactions between the webs and flanges. Limited attention has been devoted to investigating the experimental and theoretical aspects of shear lag in long‐span cable‐stayed bridges with twin box‐shaped composite girders. This research addresses this gap by designing a segmental scale twin box‐shaped composite model specimen to simulate the cable spacing of the main girder in a cable‐stayed bridge, specifically targeting the shear‐lag effect. The study successfully captures the non‐uniform distribution of cross‐sectional strain in the top concrete slab. Subsequently, analytical strain solutions for the composite girder under mid‐span concentrated load and axial load are derived using the energy variation method. The theoretical model's applicability is then calibrated against experimental results. The investigation extends to the in‐situ testing of the Chibi Yangtze River Bridge, the world's largest steel‐concrete composite girder cable‐stayed bridge, boasting a main span of up to 720 m. An established finite element (FE) analysis model for the Chibi Yangtze River Bridge simulates the transverse stress distribution under typical construction conditions of CC6. Comparative analyses between the simulated results, calculated values from elementary beam theory, and the theoretical model against field‐measured values reveal that the FE model provides a more accurate estimation of the shear lag effect in the concrete slab. Notably, the FE model effectively reflects the bridge's characteristics and serves as a baseline for subsequent studies. This comprehensive investigation contributes significantly to the understanding and analysis of shear lag phenomena in twin box composite girders of cable‐stayed bridges. The integration of experimental, analytical, and construction site validations establishes robust tools for engineering design and the construction of safe and serviceable cable‐stayed bridges. The research augments knowledge regarding shear lag behavior and underscores the necessity to appropriately consider its effects in bridge analysis and design.

The Impact of Oil Prices on the Import of Capital Goods in Azerbaijan

The article studies theoretical and practical aspects of the oil prices impact on the import of capital goods in an oil-exporting country. Based on the two-step Engel-Granger procedure for cointegration analysis, the relationship between the real volume of imported capital goods per capita and the real price of Azeri light oil is examined. It has been determined that the real volume of imported capital goods per capita is highly dependent on the oil price, and the volatility of the oil price also affects the volatility of imports of capital goods. This also shows that investment activity in the country depends on oil prices. Therefore, it is necessary to spend oil revenues, regardless of oil prices, depending on the economic development goals and to pursue policies to transform oil revenues into stable growth factors.

The Role of AI in Management

This study investigates "The Role of AI in Management" and aims to understand the impact of AI technologies on various management practices within organizations. The problem of the study arises from the increasing adoption of AI in the business world and the need to comprehend its implications for managerial decision-making, organizational efficiency, and employee experiences. The study focuses on both theoretical and practical aspects, providing insights that can inform academic research and guide organizations in leveraging AI effectively. To address the research problem, a cross-sectional study design using a questionnaire as the primary data collection tool has been selected. This design allows for the collection of quantitative data at a specific point in time, providing a snapshot of the relationship between AI and management practices. The questionnaire will be administered to professionals and managers across diverse industries, representing organizations that have implemented AI technologies in their management processes. The importance of this study lies in its theoretical and practical contributions. Theoretically, it expands the understanding of the role of AI in management by examining its impact on decision-making processes, organizational structures, and employee roles. It contributes to the existing body of knowledge by exploring the nuances and complexities of AI implementation in managerial contexts. Practically, the findings will provide insights and recommendations for organizations seeking to adopt or optimize AI technologies in their management practices. It will guide decision-makers in understanding the potential benefits, challenges, and best practices associated with AI integration. The scope of this study encompasses professionals and managers across various industries, ensuring a diverse representation of AI adoption in management practices. The focus is on organizations that have implemented AI technologies and are actively utilizing them in their decision-making processes, resource allocation, and performance evaluation. The study aims to capture the perceptions, experiences, and attitudes of participants related to the role of AI in management. Data will be collected through a structured questionnaire distributed electronically to the selected participants. The questionnaire will capture quantitative data on participants’ perceptions, experiences, and attitudes towards AI in management. It will include closed-ended and Likert-scale questions, enabling efficient data collection and analysis. The collected data will be analyzed using appropriate statistical techniques, including descriptive statistics, correlation analysis, and regression analysis. By employing this methodology and research tools, this study seeks to provide a comprehensive understanding of the impact of AI on management practices. The findings will contribute to both theoretical knowledge and practical insights, guiding organizations in leveraging AI effectively to enhance decision-making, improve operational efficiency, and foster innovation in management processes.

The Influence of the Spatial Structure of Urban Agglomeration on the Digital Economy and Its Impact Mechanism: Evidence From China

The urban agglomeration (UA), as the carrier of regional economic transformation, is an important impetus for the development of the digital economy (DE) in the future. Based on the perspective of the spatial structure of UA, this paper first attempts to clarify the theoretical aspects of the influence of the spatial structure on DE, its heterogeneous characteristics, and inner impact mechanism, and then empirically test the corresponding hypotheses by utilizing the data on China’s 18 UAs from 2011 to 2019. Our findings are as follows: (1) The monocentric structure has an inverted “U-shaped” impact on DE, namely, first promotion and then inhibition effects. (2) Heterogeneity analysis reveals that the inverted “U-shaped” relationship between the monocentric structure and DE is not observed in UAs lacking megacities and is insignificant during the early and middle development phases of UAs. However, this non-linear relationship becomes significant in UAs with megacities and UAs in mature and later development stages. (3) More deeply, this study uncovers that innovation serves as a mediating factor in the influence of the monocentric structure on DE. This article not only enriches the existing body of research on UAs and DE but also provides valuable theoretical insights for the development of DE within UAs.

Research status of colloidal gold detection technology in medicine

Research status of colloidal gold detection technology in medicine

Quantum Chemical-Based Investigations and Lipophilicity Evaluations on Some Structurally Related Quinazoline Derivatives

This work was chiefly conceived to explore the substituent effects on thermodynamic, electronic and lipophilic characteristics of some quinazoline derivatives (Q1-Q4) from theoretical aspects. The variations caused by methyl, ethyl, chlorine and bromine substituents on the same carbon of the aromatic ring were evaluated with a computational approach. In accordance with this purpose, simultaneously, DFT-based calculations were performed for vacuum and two different surroundings (DMSO and water) on methaqualone (Q1), etaqualone (Q2), mecloqualone (Q3), and mebroqualone (Q4) compounds by using the B3LYP functional and 6-311++G(d, p) split-valence triple zeta basis set.  The computed thermodynamic quantities revealed that the halogen substitution was more preferable. The effect of substituent modification on electrostatic surface features was evaluated visually by molecular electrostatic potential (MEP) mapping technique. To shed light on the chemical reactivity behaviors of the Q1-Q4, DFT-based reactivity identifiers were computed. Also, the intramolecular interactions affected by substitution were evaluated on the basis of the Natural Bond Orbital (NBO) theory. The NBO results revealed that π-π* interactions predominate for each compound. The lipophilic character analyzes of the mentioned compounds were evaluated both numerically and visually. The data of both methods support each other.

Generic peculiarities of the documentary film making (Theoretic aspects)

Generic peculiarities of the documentary film making (Theoretic aspects)

Introduction to Theoretical and Experimental aspects of Quantum Optimal Control

Abstract Quantum optimal control is a set of methods for designing time-varying electromagnetic fields to perform operations in quantum technologies. This tutorial paper introduces the basic elements of this theory based on the Pontryagin maximum principle, in a physicist-friendly way. An analogy with classical Lagrangian and Hamiltonian mechanics is proposed to present the main results used in this field. Emphasis is placed on the different numerical algorithms to solve a quantum optimal control problem. Several examples ranging from the control of two-level quantum systems to that of Bose-Einstein Condensates (BEC) in a one-dimensional optical lattice are studied in detail, using both analytical and numerical methods. Codes based on shooting method and gradient-based algorithms are provided. The connection between optimal processes and the quantum speed limit is also discussed in two-level quantum systems. In the case of BEC, the experimental implementation of optimal control protocols is described, both for two-level and many-level cases, with the current constraints and limitations of such platforms. This presentation is illustrated by the corresponding experimental results.

Non‐Volatile and Gate‐Controlled Multistate Photovoltaic Response in WSe2/h‐BN/Graphene Semi‐Floating Gate Field‐Effect Transistors

Non‐Volatile and Gate‐Controlled Multistate Photovoltaic Response in WSe₂/h‐BN/Graphene Semi‐Floating Gate Field‐Effect Transistors

A Study of Multi-criterion Fuzzy Decision-making Methods: Recent Trends and Directions

A plausible soft computing model for addressing ambiguity and vagueness in decision-making circumstances is the concept of intuitionistic fuzzy sets (IFSs). Utilizing similarity-distance metrics, cases like diagnostic analysis, Finance and Investment, pattern recognition, Risk Analysis and Assessment, etc. have been investigated. Numerous methods of distance and similarity have been suggested and utilized to solve deciding circumstances. Although the existing similarity measures and their distance counterparts are fairly significant, they have certain accuracy and conceptual alignment issues that need to be addressed in order to improve output reliability. As a result, a unique similarity-distance technique is introduced in this paper. To demonstrate the benefits of the innovative similarity-distance strategy over related current approaches, a comparative analysis is presented. The theoretical and philosophical aspects of the approach are set aside, and the analysis is solely focused on the algorithmic (technical) point of view. Applying the ranking algorithm yields a solution. A comparative study is presented to illustrate the advantages of the suggested measures. The outcomes of applying the suggested similarity metrics are confirmed by a technique known as Topsis. The outcomes are more logical, consistent, and productive in a skeptical setting.

Generalised minimum moment aberration for designs with both qualitative and quantitative factors

Generalised minimum moment aberration for designs with both qualitative and quantitative factors