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Nowadays, economic growth is influenced by many domestic and foreign global issues, concerning the decrease of industrial output for the rise in economic inequality and the weakening of the overall condition in the countries. The role of economic growth is based on human capital and investment. Therefore, in this paper, the human capital and economic management system (HC‐EMS) has been proposed to enhance the country's quality based on the capital structure investment. HC explores the role of command and its significance in the production and creation aspects of human capital such that an area can grow creatively. HC‐EMS analysed critical monitoring systems for developing human resources and the high‐tech and creative economic sectors and presented suggestions for change. Besides, there is a need to prove the shortcomings and benefits of human resource development systems and statistical approaches for gathering and analysing information. The impact of financial services and financial transactions may vary; therefore, it is critically important for fostering economic growth. The experimental result suggests that the proposed HC‐EMS achieves the highest growth development ratio than other existing methods. [ABSTRACT FROM AUTHOR]

Open data has been improving both publishing platforms and the consumers-oriented process over the years, providing better openness policies and transparency. Although organizations have tried to open their data, the enrichment of their resources through the Web of Data has been decreasing. Linked data has been suffering from notable difficulties in different stages of its life cycle, becoming over the years less attractive to users. According to that, we decided to explore how the lack of some opening requirements affects the decline of the Web of Data. This paper presents the Web of Data radiography, analyzing the governmental domain as a case study. The results indicate that it is necessary to strengthen the data opening process to improve resource enrichment on the Web and have better datasets. These improvements describe that open data must be public, accessible (in machine-readable formats), described (use of robust, granular metadata), reusable (made available under an open license), complete (published in primary forms), and timely (preserve the value of the data). The implementation of these characteristics would enhance the availability and reuse of datasets. Besides, organizations must understand that opening and enriching their data require a completely new approach, and they have to pay special attention and control to this project, generally by putting money, the commitment by management at all levels, and lots of time. On the contrary, given the magnitude of availability and reuse problems identified in the opening and enrichment data process, it is believed that the Web of Data model would inevitably lose the interest it aroused at the beginning if not addressed immediately by data quality, openness, and enrichment issues. Besides, its use would be restricted to a few particular niches or would even disappear altogether. [ABSTRACT FROM AUTHOR]

Robotics applications to healthcare have become more prominent in the last few years. Some of the many robotics applications in healthcare include surgical robots, pharmacy robots, robotic telemedicine, robotics-assisted infectious disease management, robotics rehabilitation medicine and many more. The authors propose a grey-level correlation algorithm using neural networks to efficiently solve medical resource management problems. [Extracted from the article]

Many consumers participate in the smart city via smart portable gadgets such as wearables, personal gadgets, mobile devices, or sensor systems. In the edge computation systems of IoT in the smart city, the fundamental difficulty of the sensor is to pick reliable participants. Since not all smart IoT gadgets are dedicated, certain intelligent IoT gadgets might destroy the networks or services deliberately and degrade the customer experience. A trust-based internet of things (TM-IoT) cloud computing method is proposed in this research. The problem is solved by choosing trustworthy partners to enhance the quality services of the IoT edging network in the Smart architectures. A smart device choice recommendation method based on the changing networks was developed. It applied the evolutionary concept of games to examine the reliability and durability of the technique of trust management presented in this article. The reliability and durability of the trustworthiness-managing system, the Lyapunov concept was applied.A real scenario for personal-health-control systems and air-qualitymonitoring and assessment in a smart city setting confirmed the efficiency of the confidence-management mechanism. Experiments have demonstrated that the methodology for trust administration suggested in this research plays a major part in promoting multi-intelligent gadget collaboration in the IoT edge computer system with an efficiency of 97%. It resists harmful threads against service suppliers more consistently and is ideal for the smart world's massive IoT edge computer system. [ABSTRACT FROM AUTHOR]

Background: Internet of Things (IoT) is a hopeful advancement that is an accurate international link for smart devices for total initiatives. Physical Education (PE) builds students' abilities and trust to engage in various physical activities, both within and outside their classrooms. The challenging characteristics in the learning management system include lack of setting a clear goal, lack of system integration, and failure to find an implementation team is considered as an essential factor.Objective: In this paper, an IoT-based technological acceptance learning management framework (IoT-TALMF) has been proposed to identify the objectives, resource allocation, and effective team for group work in the physical education system.Method: Physical Educators primarily use the learning management framework as databases of increased management components, choosing to interact with students, teammates, organizations. Statistical course content analysis is introduced to identify and set clear goals that motivate students for the physical education system. The course instructor learning technique is incorporated with IoT-TALMF to improve system integration based on accuracy and implement an effective team to handle unexpected cost delays in the physical education system.Results: The numerical results show that the IoT-TALMF framework enhances the identity accuracy ratio of 97.33%, the performance ratio of students 96.2%, and the reliability ratio of 97.12%, proving the proposed framework's reliability. [ABSTRACT FROM AUTHOR]

Currently, there are a large number of applications with Geographic Information System (GIS) capabilities, supported by Web services and which contribute to geospatial information quality, prestige, and integrity. Likewise, a series of location-based services have been generated that have become a useful and indispensable instrument with great social content. All of these applications and services with GIS capabilities are increasingly present in the Web, looking to provide new services in real-time geographic information and becoming the central axis for public administrations that have the need to access, integrate, produce, and transmit sufficient geographic information as the main means when making decisions for successful management of their territories. With tools such as these, many public administrations are striving to offer a range of services through the so-called geoportals, thus, multiplying the possibilities of sharing, distributing, exchanging, and accessing geographically referenced information as a plausible instrument in processes of planning and management of their Territory. [ABSTRACT FROM AUTHOR]

The Pacific Alliance is an economic and development initiative where four Latin American nations: Chile, Colombia, Mexico, and Peru, seek the growth in the economics of the four nations. It is in this way that agriculture plays an important role in this union since it is one of the greatest sources of income in each nation. However, the internal conflict that afflicts each country generates stagnation in economic growth, affecting its exports. Forced displacement is one of the main consequences of the internal conflict within the countries that make up the Pacific Alliance. Therefore, a model of Population Dynamics System P (PDP System) is proposed, viewing this phenomenon as a classic predator-prey model, where one 'predator' resources that in this case are the territories, and in this struggle one species predominates over the other. The simulations showed how the populations are being affected and how the analogy between the social conflict described above and the Lokta-Volterra model can be modelled with a topic that has always been considered to be social. Although much more complex scenarios can be simulated by adding other variables, this study is an approach that yields important results that can be considered in other studies [ABSTRACT FROM AUTHOR]

At present, the global navigation satellite systems' use as transmitters of maritime surveillance opportunities in passive radar systems is particularly desirable because of global coverage and accurate sources' primary advantages. This paper proposes a global navigation smart radar system for maritime moving object localization and detection. To find and detect underwater targets, signal processing algorithms were used. For finding a transmitting node that can be used during the operation, a multilayered technique is used. The new Galileo satellites and smart systems have been developed to determine the technology's viability and verify the existing signal processing algorithms. The findings show that the machine concept and its multi-service capability are simultaneously observed with two satellites. [ABSTRACT FROM AUTHOR]