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Recent advancements in wearable smart devices, medical internet of things, cloud computing, wireless communications, and AI-based technologies have enabled personalized remote health care for patients with chronic diseases. Covid pandemic period has exposed the shortfall of the healthcare system, where there was a massive shortage of doctors, nurses, medical supplies, hospital beds, and other healthcare infrastructure, which has affected many patients with chronic diseases who needed constant monitoring and consultation with doctors. This has affirmed the necessity of remotely monitoring the patients to predict their requirements for medicines, treatment, etc., and to avoid any unusual severe condition. In this work, we presented the Patient Model to monitor the patient's activities and remotely identify and fulfil their treatment requirements. The framework monitors the patients and depending on the diagnosis provides personalized remote health care services such as telemedicine, medical tests, diet plans, etc., along with an ambulance facility if needed. The proposed framework uses a CNN and other machine learning algorithm to predict the required personalized healthcare service requirements. The simulation results show that the proposed framework, using the patient’s model, and CNN algorithm significantly improves the precision and recall of the prediction and reduces the time to predict the requirements.

In digital circuits, particularly space signal applications, the detection/estimation of phase (angle) like milli degree is challenging and involves many complex operations. To estimate milli degree (10-3) or more, floating point operations (like double precision adders, subtractions, multiplications, and divisions) are the significant components and power and area consumption; delays are more in existing works. Existing works mainly concentrate on clock-based synchronous operations, which require more hold, and clock distribution is another major problem due to extra circuitry requirements. The proposed pipelined and clock-efficient distribution system (CEDS) is incorporated in the Floating-Point Unit (FPU) design to address these issues. It includes a double-precision adder, multiplication, division, and subtraction. These FPU and CEDS can be used to detect Milli Degree for GHz frequency in Space applications more accurately. The floating points are essential in phase shift operation used in the space-borne system for effective correction of error checking rather than execution of error analysis in the real-time scenario. Modern digital circuits can hardly improve due to limitations of physical area consumption. The substitution for these limitations, the new digital ternary logic (0, 1, 2), is the solution because of its higher number of digital circuits involved in floating points. The ternary logic is the best solution for the minimization of number bits to optimize memory utilization, and ternary logic has Negative Ternary Inverter (NTI), Ternary Decrement Cycling Inverter (DCI), Standard Ternary Inverter (STI,) and Positive Ternary Inverter (PTI). The proposed design is successfully designed and validated on Zybo Z7-10 (XC7Z010-1CLG400C) FPGA development board. The results show a 45% reduction in power consumption, delay, and area utilization.

Continuously Reinforced Concrete Pavement (CRCP) is a preferred choice in highway and roadway construction due to its durability and reduced maintenance needs. This study employs Finite Element Analysis (FEA) to investigate CRCP's static behavior, shedding light on its structural response. A comprehensive numerical model within a commercial software package is utilized, considering complex interactions among concrete, longitudinal reinforcement, and subgrade layers. This model accounts for nonlinear material behavior by incorporating concrete and steel reinforcement constitutive models. Various loading scenarios, including wheel loads and temperature variations, are simulated to assess their impact on CRCP's static behavior. The analysis focuses on essential performance metrics such as load-carrying capacity, stress distribution, and deflection patterns. It systematically examines variable parameters like reinforcement spacing, concrete strength, and slab thickness. The results are compared against experimental data and design guidelines to validate the numerical model's accuracy and applicability. This research enhances our understanding of CRCP's static behavior, emphasizing its sensitivity to different parameters. The findings underscore the significance of proper reinforcement spacing, concrete strength, and slab thickness in optimizing CRCP performance and longevity. The implications of this study extend to pavement designers, engineers, and transportation agencies involved in CRCP construction and maintenance. The validated numerical model serves as a valuable tool for optimizing designs, assessing structural integrity, and predicting long-term performance.

High velocity oxy-fuel (HVOF) coating is a widely used thermal spray technique for applying wear-resistant coatings on metallic surfaces. The primary objective of this review is to provide an overview of the tribological properties of HVOF coatings. The review starts with a brief introduction to HVOF coatings, followed by a discussion of the various types of HVOF coatings and their microstructural characteristics. The tribological properties of HVOF coatings, including hardness, wear resistance, friction coefficient, and adhesion, are then discussed in detail. The influence of various parameters, such as coating material, substrate material, and testing conditions, on the tribological behaviour of HVOF coatings is also reviewed. A review of HVOF coatings tribology would cover the latest research on the subject, including the types of coatings available, their properties, and the methods used to evaluate their performance. It would also examine the challenges and opportunities in the field, such as developing new coatings for extreme environments or improving the coating-substrate adhesion. Finally, the review concludes with a summary of the key findings and suggestions for future research directions. Overall, this review highlights the potential of HVOF coatings to improve the tribological performance of metallic components in various industrial applications.

To better comprehend the machinability studies during MMCs, the effect of cutting tool while machining MMCs, the cutting forces that induce and importantly the influence of cutting tool were carried out. Polycrystalline diamond (PCD) and uncoated tungsten carbide (K10) cutting tools were used to machine a eutectic (Al-12wt% Si alloy) and a hypereutectic (Al-17wt%Si) matrix material with Silicon Carbide (SiCP) and Aluminium Oxide (Al2O3P) in the particulate form at 0, 5, 7.5, and 10 volume percent volume fractions as MMCs. To further characterize the machinability of the composites, SEM analysis of chips created during machining and the cutting inserts was performed. Based on the results of the MMC machining operations, the Built-up Edge (BUE) development on the K10 insert has caused it to exert significantly higher cutting forces than the PCD. Machining of SiCp and Al2O3P reinforced Al-Si alloys utilizing K10 insert showed a comparatively bigger difference in cutting forces, indicating that the cutting forces exerted by PCD did not significantly alter with varied composite composition.

Startups face challenges in investing large amounts of money in business promotion due to resource constraints and operational size. Hence, business promotion strategies like advertising, public relations, sales promotions, billboards, and event sponsorship are generally avoided by startup companies. Instead, Startups tend to employ social media strategies to run promotional campaigns on platforms like Facebook, Twitter, Instagram, and YouTube, among others. However, there is a paucity of research to understand whether such promotional campaigns are delivering the desired value and able to achieve the objectives set by the startups. The present study makes an endeavor to explore whether promotions through social media are effective in delivering significant outcome to startups. Therefore, this study aims to empirically investigate whether Facebook Promotion is delivering value to Indian startups. To conduct the research, cross-sectional data has been collected from 100 startup located in different cities in India. The data has been analyzed following the “Partial Least Squared-Structural Equation Modelling (PLS-SEM)” technique. The findings from this study may contribute towards the literature on understanding the importance of social media strategies in marketing campaigns for startups. Furthermore, this study may enhance clarity about the value obtained by startups, particularly during the early stage of their existence. Consequently, the study findings may help startups plan their investments in promoting their products and services on social media, in general, and Facebook, in particular.

A developed and vibrant corporate bond market provides an important means of financial resources to corporate, in addition to bank financing. It brings transparency and prudence into financial system and helps in minimizing risks in financial system through diversification. The main objective of this study is to find out the various issues and hurdles faced by retail investors and come out with appropriate suggestions in this regard. A modest attempt has also been made to understand the present status of the Indian corporate bond market in reference to retail investors participation. The study reveals that, in spite of sincere efforts of policymakers, the participation of retail investors in Indian corporate bond market are negligible. It has also been observed that the important issues of retail investors are related to safety of principal, returns, liquidity and tax benefits. It is expected that the suggestions made in this paper, if implemented, will definitely helpful in attracting retail investors to Indian corporate bond market.

Digitalization brought about by the Covid-19 pandemic has revolutionized many aspects of businesses, magnifying their opportunities and challenges in the market. The global retail sector is no exception. Several changes have transpired in the sector, such as increased preference for online shopping and changes in supply chains and logistics. The purpose of this study is to examine how digital advancement has taken place in the retail sector of Dubai and how it has affected service delivery. To this end, a survey of 94 retailers from around Dubai was conducted using a structured, close-ended questionnaire. The data analysed on SPSS software showed that disruptive technologies like internet of things, artificial intelligence, automation, and big data analytics have a role in changing business functioning. With the implementation of practices like on-demand delivery, tracking product location, personalized services, controlled delivery system, and reduction in transmissible disease exposure the retail industry can improve its service delivery and build healthier relationships with consumers.

This paper emphasizes the need to broaden organizational perspectives through Open X, which promotes sharing and collaboration over selfishness and competition, instead of that industrial intellectual protection through patents can divert resources essential for the growth of organizations. Faced with new realities, organizations need different management approaches with the potential to transform the reindustrialization resulting from deindustrialization into a Neo-industrialization 2.0. It does not mean tearing down or creating new boundaries but an open culture where organizational efforts have social relevance. In the face of economic interests, Open X can make organizational outcomes more plentiful and robust.

Electronic Customer Relationship Management (e-CRM) systems have become instrumental in reshaping the landscape of customer engagement and service efficiency in the banking industry. This research paper delves into the implementation and impact of e-CRM in the context of the State Bank of India (SBI), one of the world's largest and oldest banking institutions. SBI's adoption of e-CRM is examined as a case study, providing insights into the strategic decisions, challenges, and outcomes associated with this transformation. The study employs a mixed-method approach, combining qualitative and quantitative data collection methods. Data is gathered through interviews, surveys, and analysis of archival information to evaluate the implementation process and its subsequent effects on customer engagement and service efficiency. Through this comprehensive analysis, this paper highlights the critical role of e-CRM in shaping the modern banking experience. Preliminary findings suggest that SBI's e-CRM implementation has had a profound impact on enhancing customer engagement, resulting in increased satisfaction and improved interactions. Furthermore, the paper reveals improvements in service efficiency, including reduced response times, decreased error rates, and enhanced cost-effectiveness. The research identifies factors influencing the success of e-CRM implementation, emphasizing the significance of organizational culture, technological infrastructure, and employee training. This research not only provides valuable insights for the banking industry but also offers lessons learned and best practices for organizations considering the adoption of e-CRM. The implications of this study transcend the specific case of SBI, serving as a valuable reference for institutions aiming to remain competitive and responsive in an increasingly digitized and customer-centric banking environment.

Due to their homogeneity and excellent ratio between load capacity and weight, thin-walled aluminum structures are used as structural parts in the aerospace, automotive and military industries. The manufacture of these thin-walled structures is mainly done by removing a large amount of material from full raw pieces, sometimes up to 95% of their initial mass. Because of a large volume of material removing, it is necessary to achieve high productivity, which is limited by the lack of rigidity of the thin walls of these structures. As a result, errors occur, while reducing accuracy and machining quality. The main subject and objective of this paper is related to the optimization of high-speed machining parameters of linear thin-walled structures made of aluminum alloy Al7075 from the aspect of surface quality of processed superficial as a goal function. For this purpose, experiments were carried out based on which conclusions were made of the influence of input parameters on the surface roughness.

The main goal of this paper was to connect two controllers of the older generation into one robotic cell, then software implement their synchronized work on servicing and welding certain objects. For this purpose, two controllers manufactured by Yaskawa Motoman were used with the associated manipulators. The hardware solution involved connecting the controllers via General I/O circuit board, where the output of one controller is connected to the input of another and vice versa. The software solution involved parallel programming of two robots for synchronized operation on a common task. During programming, it was necessary to create macro jobs that implemented repetitive actions, such as calling and waiting for robots, grabbing and releasing objects, as well as the actions of starting and stopping the program. The conclusion of presented research is that the robotic cell, formed by two robots that are not intended for synchronization, meets the requirements that until now could only be solved with robots of the newer generation. Proposed solution was confirmed by experimental verification.

The urbanization development in India over the last few decades has been fast, very unequal, and not sustainable. The UN projects that by 2050, it will be one of the top three nations in terms of urbanization. India's urban population is expected to grow from 481 million to 814 million by 2050 an added 333 million. There will be significant effects on energy consumption patterns and GHG emissions when India's urban population increases from 34.93% now to 57.7% in 2050. Conventional construction materials have a high embodied energy, and buildings account for most of the world's energy usage. The production of today's standard materials accounts for 20% of global CO2 emissions and 25% of global energy usage. Rapid building is required to satisfy the need for housing, but if it is done wrongly, it will only meet the demand for housing temporarily and at the expense of livability, sustainability, pollution, resilience, and ultimately economic competitiveness. The Compressed Stabilized Earth Blocks (CSEB) have the potential to revolutionize environmentally friendly construction in India. CSEBs provides the perspective of energy-efficient, cost-reduction, and environmentally-friendly building materials, overall contributing to sustainable development, at a time when there is a growing concern of awareness regarding environmental issue. Since CSEBs are unburned materials, no coal or other burning fuel is required in their manufacturing. The paper delves into the history of CSEB, passive architecture, and circular economy in Indian residences, incorporating many strategies into one plan, the potential to reduce a building's overall energy consumption while simultaneously improving its cost-effectiveness, usability, and social cohesion. The goal of this study is to demonstrate that stabilized earth walls may be utilized in low and medium-rise structures when paired with a frame constructed of today's standard materials, lowering total use while achieving density requirements.

The issue of the consideration of the sociocultural aspect of inclusion is among the top-priority initiatives of modern society. In the process of the integration of people with disabilities into society, the role of culture and, in particular, culture of inclusion is defined as a separate socio-psychological phenomenon. The necessity of actualising the inclusive potential of the family of a child with disabilities predetermined the essence of the scientific discourse in the aspect of studying the competencies of parents and creating a family profile. The study of criteria basis, which includes indicators of the functionality of parents of children with disabilities and markers of competence has a practical sense and involves the movement toward the competency profile of the family as a predictor of the inclusive potential. The goal of this paper lies in generalisation and scientific analysis of scientific thoughts on understanding the competence of a family, which is the key to unlocking the inclusive potential.

Storage systems and warehouse processing in factories are integral to manufacturing operations and logistics procedures. Proper factory layout, storage locations, and procedures save time and reduce cost and wastes. This study examines a real case scenario of a metal industry and sheet metal factory manufacturing commercial easy-to-install metal racks. We collected data, investigated the current situation of the factory, and specified the difficulties and problems regarding the procedures, storage system, and distribution of machines. Furthermore, several proposed solutions were presented and analyzed using simulation, followed by the selection of the best solution. Then, we applied 5S methodology to improve productivity and reduce waste. The findings reveal that reducing waste and time, enhancing productivity, and better space utilization can be achieved significantly. Moreover, this study indicates the feasibility of the proposed solutions, which can be adopted by similar factories and other industries.

This paper evaluates the effectiveness of feature-level fusion through the concatenation method, of two independent and emerging modalities, speech and face. The major benefit of face modality (physiological) is that the data acquisition does not require much user cooperation or awareness, as seen in airports or public places in mass. Speech (physiological and behavioural) based recognition, for disabled and illiterate people, is the most convenient and reliable user identification technique due to the ease with which a contactless speech-receiving device can be accessed. Furthermore, it should be noted that adverse conditions, such as low illumination for facial recognition and a noisy environment for speech recognition during data acquisition, are not interdependent and function autonomously. Consequently, the acoustic and distinctive facial features are the paramount (fused) features in achieving higher user identification accuracy. This paper aims to explore the state-of-the-art techniques for data fusion, dimensionality reduction, feature extraction (speech-face) and classifier. Based on the above findings, we have proposed an efficient feature level fusion of speech and face cues with the deep convolutional neural network as a classifier for the VidTIMIT database. We have tested the effectiveness of the proposed approach in terms of identification accuracy with different training sample sizes and numbers of users. The proposed user identification approach achieves an accuracy of 97.31%, an EER of 3.62% and outperforms the unimodal biometric system for speech and face by 3.83% and 1.59 % respectively. Additionally, the proposed approach outperformed a few existing methodologies. Thus, we can infer that even in the presence of adverse conditions, such an approach can ameliorate the user identification-based solution.

The paper deals with uncertainties in ship repair specifications and their impact on docking duration. In some cases, on ships, repair specifications mention defects that are established by the crew when the ship is under exploitation. In the other part of the repair specifications, prepositions mentioned possible problems. Their current condition is determined when the ship is in dry dock, and they are considered indefinite. The paper analyses ten of the most common uncertainties in ship repair connected to hull condition, the condition of its underwater parts, steering gear mechanisms and machinery, and deck equipment. The evaluation of the impact on dry docking duration is done by the GUM method. On the basis of this method, the probability of clear information about ship repair is assumed to be 95%. The combined standard is evaluated with a safety coefficient of c = 1,00. The final result of the uncertainty evaluation for the first case is 3.70±7.45%, and for the second case it is 5.30±11.2%. Schematically, the Gant chart and GUM evaluation show the impact on ship repair duration and ship repair yard schedule.

This paper aims to present improvement actions to reduce the failure risk of a new vehicle cabin air transporter developed in an automotive plant in the Sul Fluminense region by applying the Failure Modes and Effect Analysis (FMEA) tool. This analysis method enables the equipment to reduce some existing problems. Thus, it was possible to increase the demand for vehicles, expected by the end of the year 2018. For this purpose, a team was formed with employees from the main areas involved who raised the main failure modes of the equipment through the brainstorming technique. The FMEA worksheet was filled using the severity, occurrence, and detection classification tables to calculate the Risk Priority Number (RPR). Then, it was suggested to apply the technique with the necessary improvement actions for the failure modes, broken down in a 5W1H worksheet. In a conclusion, the importance of applying the FMEA before acquiring new equipment was demonstrated, avoiding waste, and guaranteeing the company's efficiency.

This article studied and analyzed the reality of the domestic tourism sector in Russia by using the strategic planning approach. First, the current situation of the tourism sector in Russia was studied. Then the concept of domestic tourism and strategic planning was discussed. Then, a group of works and studies by Russian and foreign authors on the reality of the domestic tourism sector and strategic planning were analyzed. Then the environmental profile method was used to identify the internal and external factors affecting the domestic tourism sector and were evaluated based on a group of studies by Russian and foreign authors. A SWOT matrix was created based on the results of the environmental profile method. Based on the intersection of SWOT matrix factor pairs, development strategies for the domestic tourism sector in Russia were formulated. In conclusion, the authors made some recommendations about the measures that the domestic tourism sector needs based on the results, which must be implemented within the proposed strategies. This study can help researchers in literary works and understand the reality of domestic tourism in Russia in light of the new policies and sanctions imposed on Russia.

This article investigates the processes of knowledge and information systems management from the position of the dataset approach, which focuses on the specifics of the digital economy and the role of Big Data and AI in the processes of labour intellectualisation. According to this, the paper discloses theoretical foundations and features of the key definitions of the research, such as knowledge, knowledge management, and Big Data, and analyses challenges and opportunities that are connected with the possibility of using digital technologies for the collection and processing of data and their usage in management. Special attention is paid to the ability of Big Data and tools of AI to transform non-structured data into a clear information flow or knowledge. The methodological basis of the research is formed by the dataset approach, which determines regularities and principles of work with large arrays of data, and the complex approach, which agrees theoretical concepts of knowledge management and the practical aspects of using digital technologies to raise the effectiveness of information systems of knowledge management. The paper uses the methods of analysis, comparative analysis, synthesis, empirical overview of literature, comparison, observation, and generalisation. The chief value of this work lies in the study of the practical aspects of knowledge management with the use of Big Data and AI, which is based on the identification of the effect of these technologies on the processes of knowledge management, determination of the sequence of operations, and generalisation of the practical experience of such systems’ functioning and their characteristics from the position of the ability to ensure deep processing of non-structured and other information.

In this research, we study the types and features of digital automatized solutions which are connected with knowledge and information systems management in various sectors of the economy. It is demonstrated that at the current stage of the formation of the digital economy, there have formed various directions (vectors) that cover e-commerce, high-tech industry, logistics, transport, etc. Despite many advantages of automatization in the considered directions, there are still problems with adapting ICTs and a global threat of the growth of unemployment. A comprehensive solution to this problem will determine the further socioeconomic development of countries. The objective of this research is to systematise the key directions (vectors) of automatization in the management of knowledge and information systems in the conditions of digitalization of economic sectors and infrastructure. The methodological framework of this research is comprised of frame analysis, statistical method, and trend method. The scientific novelty of this research is connected with the substantiation of perspectives of further development of automatized digital solutions in the digital economy given the existing social threats.

This paper elaborates on the theoretical and practical features of the sustainable management of knowledge and information systems, which function in the conditions of the green digital economy. The paper considers the conceptual apparatus and its specifics, characterises the definitions of sustainable development, the digital economy, and green transformation, and analyses the role of digital technologies in the achievement of the Sustainable Development Goals, including tackling climate change, preservation of the natural environment, etc. Special attention is paid to implementing environmental aspects and digital technologies in business processes and knowledge management systems. The methodological framework of this research is based on the complex approach, which combines theoretical concepts of sustainable development and practical aspects of digital technology application to raise the effectiveness of knowledge management. The paper uses the methods of comparative analysis, analysis, synthesis, empirical overview of literature, observation, and generalisation. The key provisions of the paper include the study of the practical aspects of sustainable knowledge management in the conditions of the green digital economy, which is realised through analysis of different forms of information systems of knowledge management and the determination of their functions and role in ensuring the environmental sustainability of companies. Special attention is paid to practical examples of implementing systems that fully develop the potential of digital technologies from the position of the transformation of business processes according to the principles of sustainable development.

This paper presents a study of the features, problems, and prospects of implementing knowledge and information systems in the fight against climate change, which are based on the digital management of knowledge and information systems. We demonstrate practices that are applied in Norway and China and determine the key directions for implementing these technologies. We confirm the offered research hypothesis on the effect of such components as finances, infrastructure, and digital readiness of the workforce for the implementation of new ICT. We also establish the prospects for an increase in the effectiveness of the realisation of the consideration process in the conditions of mass implementation of sectorial technologies and the focus on global climate integration in China and Norway. The objective of this research is to identify the directions for tackling climate change in the digital economy that are focused on green management of knowledge and information systems. The methods used in this work include the method of scientific abstraction, comparison, statistical analysis, and factor analysis. The scientific novelty of this research consists in the establishment of the directions for digitalization of environmental growth in the conditions of climate change and the quick emergence of innovative ICT.

The protection of the water's quality is an essential component of the planning, control, prevention, and preventative actions that must be taken to reduce the pollution of the water and the deterioration of aquatic habitat. Monitoring the water's quality on a consistent basis is an essential activity that contributes to keeping track of the hydrological particulars of any body of water. Many surviving systems and methods have been shown to be ineffective in achieving the same purpose, and only a small handful of other conventional methods have shown a remarkable outcome that has helped to reinstate and keep up water resources from piles of nutrients and organic composites that cause quality degradation. However, the figures collected from all corners of the world suggest that there is an immediate demand for an upgrade in the monitoring system for water quality. Based on the findings of the survey, the concept presented here entails the suggestion of a unique system that is able to maintain tabs on the quality of water, hence assisting the ongoing pollution control trends.. In this paper, a methodical approach is suggested for collecting the parametric quality indicators, most of which are chemical, which then leads to the production of a characteristic drawing for each of the variables relevant to the specific water resource that is the subject of the observation. The information that was gathered is, to put it another way, coupled with clouds. The suggested approach eliminates the most significant drawbacks of the present techniques, which results in an increase in the effectiveness of monitoring water quality and a reduction in water pollution.

We set a research hypothesis on the influence of the formation of international economic relations of countries on the effectiveness of knowledge and information systems management in the digital economy. We substantiate the features of the connection between these two components, which confirm the hypothesis. We consider the results of the manifestation of two forms of cooperation, which emerged due to the effect of the digital economy and due to the improvement of international economic relations between partner countries. Growth of investments in the implementation of these forms of interaction allows achieving significant results in case of favourable conditions for financial activities and R&D in countries in which businesses of partner countries are located (taxation, terms of rent, infrastructure, etc.). It is shown that activities of partner countries at the political level towards the creation of advantages for the integration of international business ensure mutual implementation of bilateral obligations in support and interaction. The goal of this paper is to identify the connection between international economic relations and the level of implementing digital technologies in the sphere of knowledge and information systems management. To reach this goal, we use the following research methods: the complex method, the comparative method, the statistical method, and the trends method. The scientific novelty of this research consists in determining the features of new forms of cooperation in the business environment in the conditions of transformation of international economic relations.

This paper presents the assessment of the formation of economic integration in the EAEU as the basis for improving the management of knowledge and information systems in the digital economy. The goal of the paper was to find the specifics of the influence of economic integration on the level of formation of information systems and knowledge management in the digital economy in countries of the EAEU and the EAEU on the whole. In the course of the research, we studied the factual state, problems, and perspectives of the influence of the tools of the digital economy on the level of economic integration in the EAEU member countries. It was also determined that the programme principles of the EAEU influence the support for the intellectualisation of partnership (unification of knowledge management and information systems). We proved the hypothesis about the direct dependence between the formation of conditions of economic integration and the level of the digital economy in the EAEU member countries, which demonstrated the necessity of improving these components as the precondition of economic growth. The methods of classification, comparison, and ranking analysis were used, as well as the factor method. Based on the conducted analysis, we determined the effectiveness of interaction of the EAEU member countries, the perspective of improvement of the digital environment given the main sectors, and the possibility of adapting the experience of each member country given the similarity of the systems of state management.

This research investigates the enhancement of maternal psychological health during pregnancy through the integration of E-health informatics and quantum photonics for security. The study reviews interventions and outcomes related to E-health technologies in maternal mental health, exploring intersections with quantum photonics for enhanced security measures. The primary objective is to assess the efficacy of E-health interventions in promoting maternal well-being, with an innovative link to quantum photonics for security. The study encompasses algorithmic approaches and predictive modeling, exploring potential synergy with quantum photonics for securing healthcare data. Using a systematic approach, publicly available datasets, including Kaggle, are employed. Data preprocessing addresses missing values, encodes categorical variables, and scales features. Eight machine learning algorithms are deployed for predictive modeling. Evaluation reveals distinctive performances among algorithms, with Random Forest leading in accuracy, precision, and recall. Quantum photonics integration is explored, laying the groundwork for securing health data. In conclusion, the study highlights Random Forest's potential in predicting psychological health risks, and integrating quantum photonics introduces innovative security measures. Future directions include refining predictive pathways, exploring additional features, and validating with diverse datasets. Advanced mathematical calculations, algorithmic enhancements, and deeper integration of quantum photonics are suggested to contribute to evolving digital health interventions and innovative studies in health prediction and data security.

This research aims to study the wear behavior that occurs with hot forging dies caused by the influence of the work piece’s temperature, the die’s temperature, and the coefficient of friction. The material of the die used in this study was steel with JIS standards and SKD61 Grade. The material of the workpiece was 5CM435 Grade. The default size of the workpiece and production factors were calculated and analyzed by using the Finite Element Method. The study was started by simulating workpiece forging at 850 degrees Celsius, 950 degrees Celsius, 1000 degrees Celsius, 1150 degrees Celsius, and 1250 degrees Celsius for analyzing the workpiece’s flow and wear behavior of the die’s surface under forging pressure of 400 tons with a die temperature from 120 degrees Celsius to 180 degrees Celsius. The results of the analysis revealed that the die’s temperature at 692.41 degrees Celsius and the workpiece’s temperature at 1,250 degrees Celsius yielded the most absolute workpiece flow. The absolute default size of a cylindrical workpiece had a diameter of 13 millimeters with a length of 155 millimeters and the workpiece’s temperature was set at 850 degrees Celsius. Abrasive wear occurred with the die’s lower surface at the highest level. At 1,000 degrees Celsius, plastic deformation occurred at the die’s lower surface. Stress occurred when the workpiece was in the scope of the graph on fracture criteria. From computer simulation forging, It indicated that appropriate adjustment of variables helped to reduce plastic deformation and mechanical fatigue.

The use of modern computer technologies limits high practical and economic results in the construction of modern buildings and structures. This is due to the fact that modern software systems make it possible to predict with sufficient prospects the behavior of building structures under the influence of various factors, including under high-temperature conditions. In relation to the issue of heating steel building structures with fire protection and coatings intumescent under fire conditions, it should be noted that the process of heat and mass transfer in an intumescent coating is currently only partially studied. Objectives. The purpose of the study is the analysis of the application aspects of numerical modeling in the development of the project of fire protection steel constructions using modern software complexes and existing computational and analytical methods, and analyzing critical factors affecting the reliability of the results obtained. Methods. This study investigates the application aspects of numerical modeling in the development of a project for fire protection of steel building structures with intumescent coatings through analysis of existing experimental and theoretical research. Results and discussion. The results of the analysis of the existing experimental and theoretical studies in the field of the application of numerical modeling of heat transfer processes, including in the conditions of high-temperature exposure to fire, showed that the application of numerical modeling in the development of the project of fire protection steel building structures with intumescent coatings is associated with a complex and long process associated with validation Mathematical models of research objects are being developed. Conclusion. The current level of development of numerical modeling technology allows not only to supplement experimental studies, but also, if possible, to greatly reduce them.

The analysis of emotions expressed in spoken language holds a pivotal role in human communication, artificial intelligence, and human-computer interaction. While emotion recognition in text has seen considerable advancements, recognizing emotional states in spoken speech presents distinct challenges and opportunities. This research introduces an innovative approach that harnesses Mel Frequency Cepstral Coefficients (MFCC) and Long Short-Term Memory (LSTM) networks to facilitate deep emotion recognition in spoken speech signals. This study explores the profound potential of the MFCC-LSTM framework, a combination of established audio feature extraction and deep learning. Mel Frequency Cepstral Coefficients offer a powerful representation of spectral features over time, while LSTM networks excel at modeling temporal dependencies. This system classifies emotional states such as sadness, angry, neutral, and happiness from the speaker's utterances. Several performance assessments were carried out on the suggested MFCC-LSTM model. There is significant improvement in the recognition rates when compared with other models that are currently available. The proposed hybrid model reached 96 % recognition success.

This paper considered theoretical aspects of the concept of knowledge management as a factor in the technological and innovative development of the country and organisation. In this context, the essence of knowledge and its role in the economic and technological development were disclosed, the specifics and character of the process of knowledge management were considered, and the expedience and necessity of managing knowledge to ensure high competitiveness of organisations in the conditions of the market environment and technological conditions that change quickly were studied. The research methodology is based on the systemic approach, the general scientific methods of analysis, synthesis, generalisation, and systematisation, content analysis, and correlation analysis of table data. The theoretical basis of the research is philosophical and conceptual provisions of the cognition of reality and capabilities of the human brain, which are implemented through the tools of the management of knowledge and intellectual capital, and the e-HRM and HR Tech concepts. The value of this work lies in the generalisation of scientific approaches to the use of digital HRM from the position of knowledge management in the conditions of the state programme “The Decade of Science and Technology” in the Russian Federation and the development of a model of knowledge management that characterises the structure of the system and determines the points and capabilities of digital processes and tools to raise the level of organisations’ competitiveness.

This paper is devoted to the comprehensive study of the problem of responsible knowledge management and the development of information systems in the conditions of the digital economy from the position of the ESG system. It points to the relevance of the problem of knowledge management in the conditions of modern challenges, characterises processes connected with knowledge management from the position of sustainable development, and points to the potential of information systems and digital technologies from the position of the perspective of intellectual potential development. The methodological framework of the research is comprised of general economic and special research methods. They are founded on the interconnected categories of responsible knowledge management, social responsibility, sustainable development, etc. To justify the offered hypothesis, the methods of correlation & regression analysis and empirical methods of analysis, synthesis, generalisation, and observation were used. The main value of this paper lies in the scientific substantiation of the fact of ambiguity in the assessment of the influence of the processes of sustainable and intellectual development on the economic state of Russia. According to this, the irrationality of financing scientific and innovative developments was established, and the expedience of stimulating the further implementation of information systems and technologies of knowledge management into the practice of companies’ activities was determined.

This paper elaborates on the issue of digitalisation of labour, development of digital competencies, and integration of digital technologies into production and managerial processes of companies in combination with the problem of knowledge management in high-tech companies. In the context of this research, the problems of hiring and involving employees with ICT competencies are analysed, the problem of involving intellectual resources by companies of the high-tech sector is considered, and expectations from digital transformation of the labour market in the context of the development of digital programme solutions, which can partially replace workforce, are studied. The research methodology is based on the concepts of digital personnel from the position of a combination of digital technologies and human labour (digitalisation of labour, digital workplace, automatized digital system, autonomous intelligent platform, etc.). It involves the study of the environment of the development of digital personnel and knowledge management in high-tech companies, which are based on the methods of statistical and mathematical analysis, as well as general scientific methods of observation and generalisation. The main contribution of this work lies in the systemic consideration of the conditions of digitalisation of companies' work from the position of search and hiring of employees, substantiation of the need for high-tech production for intelligent resources, and description of trends and expectations from the integration of digital technologies and systems of knowledge management into the systems of high-tech companies’ management.

This paper elaborates on the role of higher education in knowledge management in the conditions of the digital economy, considers challenges and prospects connected with the digital transformation of economy and society and the necessity for the formation of new competencies with employees, analyses the trends of development of the digital economy in the Russian Federation and the level of digital literacy of the population and the state of personnel training for the digital sector, substantiates the importance of adapting the system of higher education to new realities through the integration of digital technologies into the educational process and development of digital competencies of students and teachers, and emphasizes the necessity for the system approach to the development of the digital economy in the Russian Federation, in particular, in the context of import substitution, investments in science and education, and commercialisation of R&D. The research methodology is founded on theoretical approaches to the educational process and its transformation under the influence of modern digitalisation trends. It covers the provisions of connectivism, constructivism, and the theory of active training and socio-cultural theory. These theoretical concepts are analysed in the context of Industry 4.0 and University 4.0, which involves a close integration of digital technologies into production and educational systems. General scientific methods of analysis, synthesis, observation, literature review, graphical method, etc. are used to formulate theoretical conclusions. The main value of the paper lies in substantiation of the necessity to create an adaptive organisational model of knowledge management, which combines academic traditions and values with the flexibility of information systems and the potential of digital technologies, as well as the generalisation of the adaptive measures of the higher education system, which are a reaction to current trends inherent to the educational environment.

In this paper, we elaborated on the features of the formation of knowledge and information systems management in the countries that are leaders in this sphere and assessed the influence of their transformations on the innovativeness of the digital economy. The goal of this work was to find the key features of the contribution of the components of knowledge and information systems management to the improvement of the innovative development and digitalization of countries. We revealed that achievement of high results in these components is possible in case of the formation of a favourable environment for them, the key position in which belongs to Internet quality and coverage and government support. The presented ways to search for opportunities for implementing infrastructural projects in the creation of favourable conditions for the implementation of knowledge and information systems management will allow developing economies to ensure significant growth. The novelty of this research is connected with the determination of the features of knowledge and information systems management, which allow countries to ensure growth in the sphere of innovations and the digital economy.

Different methodological approaches to identification of the essence of the digital economy and the formation of the need for scientific personnel and specialists according to each approach are considered, the main competencies that become more popular in the context of the digital economy are outlined, the necessity for the transformation of the educational and scientific environment through the opening of new scientific directions, specialities, educational programmes, etc. is emphasised, and the key role of science and education in the ability to ensure quality transformation of social processes for the development of a competitive digital economy is established. State programmes and initiatives, aimed at the creation of conditions for academic technological leadership of Russia in the global digital economy, are described. Special attention is paid to the goals and features of the programmes Priority 2030, Digital Department, Digital Professions, Ready for Digit, CDO, Personnel for the Digital Economy, etc. Organisational features of the development of scientific potential are described, and the necessity for balancing administrative and organisational measures to implement the programmes of strategic technological academic leadership of Russia in the conditions of the digital economy is substantiated. The value of this work lies in the comparison of the processes of implementing national programmes in the sphere of development of education and science for the achievement of strategic academic leadership in the digital economy with the real trends and ranking of Russia, which leads to the need for reconsideration of the mechanisms and tools of this policy realisation.

This work presents a study of the processes of digitalization of the economy in the context of assessing the role of investments in the development of digital technologies as the key drivers of the development of information systems management. Theoretical aspects of the formation and development of information systems are considered, their classification and general characteristics are given, general trends of transformation of information systems under the influence of digital technologies are established, and directions and volumes of investments in the digital economy from the position of their impact on the development of information systems are determined. The research methodology is based on the systemic approach and is characterised by the "blurring of the boundaries" of certain research spheres within such concepts as "digital economy”, “information system”, and “venture investment and start-ups”. The methodological tools of this study include analysis and synthesis, specific historical methods, expert analyses, observation, and generalisation. This research is a stage in substantiating the connection between the factors of investments in the digital economy and the reflection of their impact on the management and development of information systems. The empirical study of the connection between the considered processes and justification of the key trends and directions for their development form a theoretical basis for mathematical models that are aimed at determining concrete sets of factors of investment effect on the designated range of the elements of the digital economy with further reflection of this effect in the form of economic results of companies’ activities.

In this article, we elaborated on the features and effectiveness of financial support for innovations, which are connected with the improvement of information systems management in the digital economy. We considered the key aspects of the influence of funding for innovation on this process on the example of the leading companies in the sphere of innovative technologies (German SAP and Canadian Celestica). We established approaches of each studied company to the management of these processes and revealed characteristics and opportunities for achieving economic effectiveness within the directions for funding for innovation. The purpose of this research was to determine the character of the influence of financial support for innovations on the level of the management of information systems of the subjects. For this, we analysed the financial reporting of the companies and utilised the methods of comparative analysis, factor analysis, and correlation analysis. The novelty of this research lies in establishing the directions for the improvement of financing of innovations to raise the level of the management of digital information systems.

We studied the features of implementing cloud computing services in electronic medicine by the example of four companies, which are world leaders in the IT sphere. We also identified the directions for implementing these services, their advantages, drawbacks, and possibilities for adaptation. It was shown that among the four studied technologies (IBM Cloud, Microsoft Azure Open AI, Google Cloud, and Amazon Web Services), only the first one has rather high adaptability in the medical sphere. Three others have unique capabilities, but more features in the context of implementation and segments of consumers. The marketing approach, applied in each company during the promotion of services (products) of partner companies that use their cloud computing in the management of electronic medicine, is connected with the focus on the key advantages of the digital offers and consideration of consumer needs. We revealed the necessity for the use of a more complex marketing approach during the promotion of digital solutions, which are aimed at the management of certain processes that cover a narrow range of consumers. The goal of this research was to reveal the features of the use of the marketing approach (tools for promoting products (services)) in the management of knowledge and information systems in the digital economy. The key research methods utilised in this paper include the aspect analysis, the method of deconstruction, the statistical method, and comparative analysis.

We analysed the directions for state regulation of technologies of the digital economy in the selected countries and a supranational union (EU). The goal of this work was to reveal the features of state regulation of the management of knowledge and information systems in the digital economy in the selected countries. The presented approaches to the regulation of the considered problem sphere are being formed, which is connected with discussions regarding the need for an increase or decrease in state interference in the companies’ activities in the sphere of information and communication technologies (ICT). The government's understanding of the necessity and productiveness of mass transition to digital technologies in various sectors of the economy and infrastructure, as well as spheres of human life activities, leads to the need to create an environment that is acceptable for the growth of the country's innovative capital through the development of business and R&D sector. The considered characteristics of the formation of the regulatory framework in the EU showed that national legal regimes must have competencies for further creation of an attractive climate for the development of entrepreneurship and the scientific and technical sector in the context of implementing new solutions in the sphere of the management of knowledge and information systems. The scientific novelty of this research consists in the identification of models for regulating the creation, implementation, and use of the technologies of knowledge and information systems management in the conditions of digitalization.

This paper dwells on the problem of regulatory and legal support for the processes of knowledge and information systems management, which take place in the conditions of the digital economy. Specific features and theoretical foundations of the regulation of digital knowledge, technologies, and information systems are considered, and their complexity and dynamic character, which require a high level of flexibility and adaptability from the legal system, are determined. Different levels and elements of the legal environment and regulatory support of the studied processes are analysed, and spheres of the normative and legal regulation and examples of their support, adopted in the European Union as one of the leaders in digital transformation, are considered. The research methodology is based on the dialectic and system approaches, which combine processes peculiar to law, management, state regulation, economics, cybernetics, technical sciences, etc. Focus is made on philosophical and ethical principles of regulating the opportunities for using digital technologies in the modern world. The methodological tools of the research include specific historical method, analysis, synthesis, observation, generalisation, and observation. The value of this research consists in the generalisation and structuring of the conditions and processes of the legal regulation of knowledge and information systems management in the context of the digital economy and the use of digital solutions. This is manifested through a selection of the key spheres of legal regulation and a description of the complex character of the legal environment of the studied processes, which covers not only imperative legal acts but also dispositive norms, as well as the individual responsibility of developers and users.

This paper considers the current problems of knowledge and information systems management, which are solved with the help of digital institutes for the purpose of the development of high-tech production in the conditions of Industry 4.0. The paper identifies the role of knowledge in the innovative development of industrial production, characterises the specifics of the influence of digital technologies on the technological development of companies and production processes, and focuses on the sensitivity of high-tech production to the level of intellectual support of production processes. Emphasis is made on the necessity of using comprehensive digital institutes, which can expand the boundaries of production companies and use the potential of digital platforms and systems in full. The research methodology combines traditional and new scientific directions and institutional theories in disciplines that study the research problem in the context of an increase in the intellectualisation of labour in the conditions of Industry 4.0. The research methodology covers general scientific methods of synthesis, analysis, the monographic method, observation, generalisation, and comparison. The paper contains important thoughts regarding the features of digital institutes from the position of their formation and influence on knowledge management in high-tech companies. It considers the structure and functions of the digital institutes of knowledge and information systems management in the conditions of Industry 4.0 and characterises selected institutes in the context of their influence on the digital transformation of the economy and the improvement of the state of knowledge management.

In this paper, we considered the aspects of forming the digital agrarian economy in India and China. We chose these countries as subjects of the experimental research due to their quick economic growth, including agriculture. We demonstrated that the implementation of the complexes of technologies of agro-industrial complex 4.0 in the two selected countries was accompanied by an increase in external integration and internal economic growth. Despite the general similarity of the sets of knowledge management technologies, which are used in the digital agrarian economies of the two countries, there are essential differences in their models. China ensured the implementation of ICT with a focus on the growth of competitive advantages in external markets, while India created a model of a digital agrarian economy in which all its participants work towards a common synergetic effect. The objective of this work was to identify the key directions for the formation of agro-industrial complex 4.0, which is based on knowledge management, in countries with a high level of digital agrarian economy formation. The novel approach of this work lies in the elaboration of the theoretical aspects of the identification of the digital agrarian economy models in the modern conditions for comprehensive implementation of knowledge management technologies.

In this paper, we considered and characterised the features of information systems management of agricultural production processes, which are based on agricultural technologies to support and increase food security in the domestic and external markets. We revealed management models in this category, which are used in the agrarian sector of Canada and Vietnam. Differences between these two models are connected with several factors, including socioeconomic development, quality of arable land, availability of resources and their cost, level of labour resources' readiness to the implementation of new ICT, and farms’ adopting the necessity of transition to precise farming. The revealed advantages and problems of implementing Agritech at the level of the two countries demonstrate that the focus on sustainable and precise farming has become a new trend in this sphere. The goal of this paper was to establish the features of the formation of approaches to information systems management in Agritech to ensure the food security of countries that produce agricultural products. The scientific novelty of this paper lies in the determination of approaches to the implementation and management of information systems in the considered category, which facilitate the creation of conditions for the growth of efficiency of agricultural productions under the influence of threats of climate change.

Estimating a common parameter is the most essential and quite fascinating task across various probability distributions. This article addresses the challenge of estimating this parameter through the application of Maximum Likelihood Estimation (MLE). Numeric determination of common parameters is conducted for several distributions, including the Lomax distribution, Gamma distribution, Rayleigh distribution, and Weibull distribution. In cases where distributions lack a closed-form solution, estimation of MLEs is achieved using the Newton-Raphson technique. Furthermore, asymptotic confidence intervals are computed utilizing the Fisher information matrix tailored to each distribution. The performance evaluation of these estimators centers on the assessment of bias and mean squared error. To enable a numerical comparison of these estimators, the Monte Carlo simulation method is employed. Finally, these techniques are applied to real-time rainfall data to assess parameter estimates for each distribution.

In recent years, researchers have focused on the Intuitionistic Fuzzy Transportation Problem (IFTP) due to its significant and indispensable role in the Transportation Problem (TP). An endeavour is performed in this paper to establish a new technique. This technique works with IFTP based on “Geometric Mean-Ranking(GM-R)”method. To provide a comprehensive understanding of the proposed method, we present and solve extensively discussed numerical examples. The acquired outcomes are subsequently subjected to numerical comparison with those of established methods, confirming the effectiveness of the proposed technique. This study validates the flexibility and simplicity of applying the method to real-life IFTPs for decision-makers.

In agricultural informatics, the accurate prediction of tomato diseases is crucial for optimizing yield and maintaining quality. This study introduces an innovative hybrid algorithm that synergistically combines the meta-heuristic Cuckoo Search (CS) with the gradient boosting capabilities of XG Boost. The proposed model aims to predict five distinct states of tomato health: No Disease, Early Blight, Late Blight, Leaf Mold, and Tomato Yellow Leaf Curl Virus. By fusing CS's prowess in optimized feature selection with XG Boost's robustness in classification, the hybrid model endeavors to enhance the predictive precision. A comparative analysis was conducted against benchmark algorithms, namely KNN, SVM, Random Forest, standalone XG Boost, and Cat Boost. Preliminary results, evaluated based on standard metrics like accuracy and F1-score, indicate that the hybrid CS-XG Boost algorithm manifests a marked improvement in prediction accuracy and computational efficiency. This research underscores the potential of integrating meta-heuristic search algorithms with gradient boosting models, providing a new avenue for advancements in agricultural disease prediction.

In this research paper, we present an innovative investigation into a novel two parameter semicircular distribution, termed the “stereographic semicircular Erlang distribution,” which is constructed using the inverse stereographic projection (ISP) technique. This distribution serves as advancement over the existing stereographic semicircular exponential distribution. We delve into essential mathematical properties of this distribution and execute a simulation study to estimate its parameter values. Furthermore, we perform an empirical analysis utilizing a dataset comprising posterior corneal curvature measurements extracted from the eyes of 23 patients. This empirical assessment is designed to evaluate the adaptability and potential applicability of the proposed distribution within the realm of ophthalmology in medical science.

The storage of data with access controllability in sharing data between multiple users in a dispersed environment is now the most pressing issue in cloud computing. Cloud computing's unique feature allows its subscribers to exchange and manage their data with one another safely. However, privacy is essential for all cloud users to communicate freely and openly, as data is accessed by unwanted parties in the cloud. Cloud services have employed numerous security-related techniques for efficient and safe user data exchange. These methods provide efficient, flexible, and reliable access control rules between users when exchanging data. But, they each have advantages and disadvantages concerning key generation and data security. To address the need for adaptable, scalable, and trustworthy access control while exchanging data across a dispersed network, this research proposes a novel access control-based privacy-preserving approach. In terms of cipher text and critical policy security, this method is an extension of attribute-based encryption and the only difference is that with cloud computing, users hierarchically share data, and access control policy amongst shared users is evaluated efficiently. Our method includes sophisticated security features like the revocation of users and access rights of users for outsourced data in the cloud. It also provides scalability and dependability in producing critical structures with dynamic qualities. Experimental results demonstrate that the suggested method improves the current system in terms of cloud data sharing efficiency, scalability, and dependability.

Traffic Simulating and Evaluating Traffic Patterns at heterogeneous traffic Situations in the Indian Context is extremely increasing. Many researchers from all over the world are trying to explore driving behavior and simulate traffic flow conditions under heterogeneous traffic environments. Simulating Traffic at a Microscopic Level with VISSIM is used in this study identifying every element that contributes to traffic at various traffic stages. Further, the VISSIM model was calibrated based on the desired safety distance and car-following theory. Traffic metrics including flow volume, speed, acceleration, and deceleration were all input parameters in the VISSIM model for simulation purposes. Furthermore, the analysis part of different cases of driving behavior models, such as the default case, and calibration values based on measurement were compared to find out if there was a significant improvement. Moreover, the linear regression model was proposed to understand the calibrated model versus the default case parameters, and it was identified that it is significant when plotting the data. The proposed study results highlighted driving behavior under heterogeneous traffic conditions using VISSIM at Toll Plaza.