Structured System Research Articles

Monitoring load, wellness, and psychological variables in female and male youth national team football players during international and domestic playing periods.

To study differences in total load exposure, wellness, and psychological variables in youth female (N = 19) and male (N = 20) national team football players during domestic and international playing periods, respectively. The players filled out questionnaires on well-being, stress, and resilience before and after both playing periods lasting 8 days each. The Hooper index was used to monitor daily wellness levels during both playing periods. The number of training sessions and matches were recorded, and the session rating of perceived exertion was collected. Training load, monotony, and strain were calculated. Daily measurements were used to evaluate in-period changes, and composite scores were used to describe differences between periods. The international compared to the domestic playing period was for both groups characterized by more matches played, longer field training session durations, and of fewer gym-based sessions (P < 0.05). The male players increased total exposure time (25%; P < 0.05), monotony (P < 0.001), and strain (P < 0.001), which was not changed in the female players. Well-being decreased (P < 0.05) during the international playing period in male players. Stress levels were higher (P < 0.05) for both genders during the international compared to the domestic playing period. During the international playing period, positive correlations were found between the initial levels of stress, and the change in stress (P = 0.03; r2 = 0.12), and between the changes in total load and changes in well-being (P = 0.02; r2 = 0.12), whereas a negative correlation was found between the changes in wellness and stress (P = 0.03; r2 = 0.14). A playing period characterized by increased match focus, longer field training sessions, and fewer gym-based training activities may lead to changes in the physical and mental profiles of youth national team football players. Alterations to load exposure and wellness may influence mental health. Players with high initial stress levels may be subjected to greater changes compared to other players. Sports scientists and medical staff may benefit from initiating structured monitoring systems to track alterations in physical load and mental health in youth national team players.

Attributes of errors, facilitators, and barriers related to rate control of IV medications: a scoping review

BackgroundIntravenous (IV) medication is commonly administered and closely associated with patient safety. Although nurses dedicate considerable time and effort to rate the control of IV medications, many medication errors have been linked to the wrong rate of IV medication. Further, there is a lack of comprehensive studies examining the literature on rate control of IV medications. This study aimed to identify the attributes of errors, facilitators, and barriers related to rate control of IV medications by summarizing and synthesizing the existing literature.MethodsThis scoping review was conducted using the framework proposed by Arksey and O’Malley and PRISMA-ScR. Overall, four databases—PubMed, Web of Science, EMBASE, and CINAHL—were employed to search for studies published in English before January 2023. We also manually searched reference lists, related journals, and Google Scholar.ResultsA total of 1211 studies were retrieved from the database searches and 23 studies were identified from manual searches, after which 22 studies were selected for the analysis. Among the nine project or experiment studies, two interventions were effective in decreasing errors related to rate control of IV medications. One of them was prospective, continuous incident reporting followed by prevention strategies, and the other encompassed six interventions to mitigate interruptions in medication verification and administration. Facilitators and barriers related to rate control of IV medications were classified as human, design, and system-related contributing factors. The sub-categories of human factors were classified as knowledge deficit, performance deficit, and incorrect dosage or infusion rate. The sub-category of design factor was device. The system-related contributing factors were classified as frequent interruptions and distractions, training, assignment or placement of healthcare providers (HCPs) or inexperienced personnel, policies and procedures, and communication systems between HCPs.ConclusionsFurther research is needed to develop effective interventions to improve IV rate control. Considering the rapid growth of technology in medical settings, interventions and policy changes regarding education and the work environment are necessary. Additionally, each key group such as HCPs, healthcare administrators, and engineers specializing in IV medication infusion devices should perform its role and cooperate for appropriate IV rate control within a structured system.

Research on the Change of Talent Cultivation Mode of Undergraduate Law Program of Open University in the Era of Artificial Intelligence

Abstract In the era of artificial intelligence, this paper uses big data analysis to construct a data model of the knowledge system of law, with the help of clustering analysis, cluster students and resources to form a structured knowledge system of law. Combined with the natural language model, which accurately extracts important information, it provides personalized learning resources for students. Eventually, the teaching content is dynamically adjusted according to students’ characteristics, resulting in the integrated design of a personalized teaching mode. The comparison found that the achievement improvement of students using the traditional teaching mode only ranged from 1.8% to 12.6%, and the achievement improvement interval was from 1.9 to 12.6 points. After applying the AI model-based instructional model, the relative improvement in student performance ranged from 19.2% to 19.8%, with an improvement interval of 14.2 to 15.7 points. The students showed a significant teaching effect by demonstrating a 25-point increase in their communication skills performance compared to the control class.

Website-Based Book Sales Information System at Maktabah Bin Taajir Bookstore

Maktabah Bin Taajir Bookstore is a bookstore that offers a variety of books, including fiqh, translated Islamic books, and others. Currently, the system used is still conventional, with data stored in paper format, causing issues in data management and report generation. To address these problems, the author has developed a book sales information system using the Waterfall Method. The Waterfall Method is a sequential software development approach, starting from requirement analysis, design, implementation, testing, and maintenance. This method was chosen because it helps developers in developing a structured system, following a step-by-step process from planning to implementation. The result of this research is a web-based book sales information system that is expected to facilitate and assist the Admin in managing book data, publisher data, and sales reports, while improving efficiency and effectiveness in the management process

Application of Science and Technology of Goods Inventory Information System in the Ellisya Online Store

This research aims to identify business needs related to inventory management of goods at Ellisya stores. Developing a goods inventory information system starting from designing, developing and implementing an information system using information technology principles in managing goods inventory. Increase the accuracy of inventory predictions by assessing information systems' ability to predict inventory needs accurately. Assessing data security and protection by ensuring that the information system complies with data security standards. It provides adequate protection against potential threats to the security of inventory data. Provide recommendations for developing a website-based goods inventory information system. The research method used in this research is the Waterfall development method. This method was chosen because of its clarity and structured stages, which greatly support technology integration to increase inventory management efficiency and accuracy. The research results show that applying technological knowledge in the Goods Inventory Information System using the Waterfall method positively impacts operational efficiency, more accurate inventory predictions, data security, user satisfaction, and financial well-being. Therefore, applying science and technology is an important step to improve the performance and competitiveness of organizations in managing inventory. The research results provide practical implications for improving operational efficiency in inventory management. S&amp;T integration enables real-time monitoring, automation of administrative tasks, and more efficient stock management. The application of science and technology results in stronger data protection, having a positive impact on company reputation and customer trust. The novelty of this research lies in an integrative approach between the application of science and technology and the Waterfall development method. It provides a new perspective on how technology can be applied in the context of structured system development, namely by developing a website-based inventory information system for goods at Ellisya stores

Comparison Between Animal Communication and Language

Language is a structured system that consists of grammar and vocabulary. Although animals communicate with each other, it has remained unsettled that whether animals use language. As Pearce concluded four main elements of language (arbitrariness of units, semanticity, displacement and productivity), this paper aims to evaluate animal communication according to these criteria and figure out their ability to learn language by studying the experiments conducted by scientists before. As a result, this paper found that animal communication met the criterion of semanticity, but failed to meet other criteria, especially the criterion of displacement and productivity, and it is very hard to teach them language. It is argued that they showed no evidence of using language even after they were taught some elements of it. The conclusion indicated that animals do not have language considering the evidence drawn from the studies before. However, it is also suggested that further studies are needed to find a better way to study animal communication and more suitable criteria for them. Signs also showed that animals may develop language referring to these criteria in the future.

Rotated block diagonal preconditioners for Navier-Stokes control problems

Fluid flow control problems play a crucial role in various industrial applications. The optimal control of the Navier-Stokes equations poses a significant challenge. By employing Oseen's approximation to linearize the problem, we encounter a series of large sparse structured linear systems. These coefficient matrices exhibit a two-by-two block structure with square blocks. Leveraging this block structure, we exploit matrix splitting preconditioners. Theoretical analysis indicates that the real parts of all eigenvalues of preconditioned matrix are equal to 1/2. A large number of eigenvalues are clustered in (1±i)/2. The imaginary part of the eigenvalues is bounded explicitly. The eigenvalue distribution predicts the fast convergence of Krylov subspace methods. To avoid solving the saddle point subsystems in the preconditioning procedure, we propose a practical variant of the preconditioner. The theoretical analysis demonstrates that if the approximation is sufficiently close to Schur complement, the eigenvalues of the modified preconditioned matrix will lie within a circle centered at the original eigenvalues with a radius less than 1. This implies that the modified preconditioner exhibits excellent performance in terms of preconditioning. The numerical experiments demonstrate that the generalized minimal residual method, when combined with the proposed preconditioners, proves to be an efficient and effective solution for Oseen's control optimization with a variable viscosity coefficient. The number of iterations required by the preconditioned methods remains unaffected by the mesh size used in finite element discretization and only marginally depends on the regularization parameter.

Continuing professional development as lifelong learning and education

ABSTRACT Continuing professional development (CPD) is a substantial, but hitherto largely unappreciated component of lifelong learning and education (LLL/LLE). CPD encourages analysis of the LLL/LLE of those with high education in early years. It draws attention to the influence of particular organisations, professional associations and regulatory bodies, not only as suppliers of LLL/LLE, but also as facilitators of perpetual cycles of learning and in so doing connect lifelong learning with individual identities as professionals. This study highlights the importance of bringing a sociological perspective into understanding participation in LLL/LLE through consideration of a wider range of stakeholders. Data is presented on these organisations’ CPD policies from a large-scale survey carried out in the UK triennially between 2003 and 2018, in addition to interviews, focus groups and other surveys of employees of these organisations in the UK, as well as in Australia, Canada and Ireland reported in many publications. The development path of CPD and the changes this has led to for the exercise of professionals’ lifelong learning and for the functioning of these organisations themselves is analysed. CPD policies and programmes are portrayed as a structured system distinct from university continuing education and training.

Measuring Countries' Performance in Ecological Security

The research aims to construct a novel secure regional development index focusing on ecological security aspects of eight Sustainable Development Goals (SDGs). The index building is based on the Sustainable Development (SD) Security Model that measures ecological threats' harm to the regional ecosystem. The ultimate goal is to construct a tool to manage facets of sustainable regional development. The research study is focused on G20 countries. The databank of the World Bank organisation was utilised to get secondary data of selected security indicators to measure security for the Sustainable Development Goals (SDGs) of the G20. The methodological approach relies on grouping ecological security indicators (Clustering using the K-Means method). It suggests a meaningful shortlist of indicators in each group, which would obtain a structured system of indicators suitable for constructing a novel Secure Regional Development Index using the multiple criteria decision-making TOPSIS method that selects the best alternative from a set of alternatives according to several criteria.

Proposed Knowledge Management Strategy by Leveraging Current Technology to Increase Productivity Operation in PT. Trimata Benua

As coal industries is still attractive in the world, and a significant contributor for energy production which account approximately 37% for electricity generation. This type of fossil fuel is still being used by many countries despite it negative side effect to environment for example a greenhouse gas emission. Coal attractiveness is due to the fact that it is cheaper compared to other fossil fuel, resulting coal industries is still growing and predicted for many years to come. In Asia Pacific there are many countries dubbed as largest producers of coal, with China, India, and Indonesia being on the top three countries in Asia Pacific. With expected growth of 3.5% on yearly basis this makes Asia Pacific a significant contributor of the worlds coal industry. With that as well Asia Pacific contributes around 52% of the worlds carbon emissions in year 2020. Indonesia as the third largest coal producers, have approximately 8.9% growth in 2021. With projected coal production of 2.6% Year on Year. PT. Trimata Benua is one of the key players in Indonesia’s coal production. However, the company experience lack of productivity in operations, causing their production target missed. Is the absence of knowledge management system in the company causing that issue to arise. With that the company need to roll out and plan effective and structured knowledge management system to address their business issue. This research is based on three research questions. First one what is the best fit knowledge management strategy, second is to identify issues in operations, and the last one is to have suggestion for the company on the implementation plan based on their needs. This research will answer those research questions by referencing to the knowledge management theories on the People, Process, and Technology (PPT) as well as adopting Nonaka’s SECI model in knowledge transformation cycle and Jann model knowledge management framework (Jann). Since this research is the first stage of implementing knowledge management system, it will be a qualitative method used with data collection gathered through interviews. Data will be analyse using thematic analysis. There are several issues identified in relation of People, Process, and Technology. Ranging of the lack of professionalism, incomplete SOP, awareness and training program, and the minimum technology that is supporting operation team causing the inability of easy access to knowledge. By applying and utilize PPT, SECI, and as well as Jann framework, author manage to compile and design knowledge management system that is best fit for the company. Identifying the challenges, addressing capability gaps on the organization as well as identification of organization critical knowledge to achieve the objectives of implementation. This will be compiled into a plan in designing knowledge management system. With the implementation of the system, it will result enhancement for operation team to increase their productivity, enhance decision-making process that will benefit the company in the future and raised their competitiveness with their competitors. The implementation plan will begin in February 2024, and it will cover three enablers of KM people, process, and technology. Strengthen the implementation the organization will also create KM steering committee that will oversee, review, and manages the initiatives. The committee will also do the evaluation on the system in making sure that it is stay updated, measuring the impact, and identify necessary changes.

Relationship Between High-Performance Work Systems and Innovation Performance (Low-Level Employee’s Perception) with Mediating Role of Dynamic Capabilities and Moderating Role of Hierarchal Culture

In this research, we examined theoretically how human resource practices such as high-performance work systems help build dynamic capabilities which enhance an organization's innovation performance. We also theorized that firms within a hierarchical culture where employees follow a structured system would not have a strong influence in transforming dynamic capabilities into innovation. We analyzed and tested our hypothetical model by using cross-sectional studies from 50 pharmaceutical companies in Pakistan. Our findings demonstrate that dynamic capabilities (DCs) serve as a mediator in the relationship between high-performance work systems and innovation performance (IP). Moreover, the association of dynamic capabilities (DCs) and innovation performance is found to be significantly moderated by hierarchical culture (IP). We found that the relationship of high-performance work systems, innovation performance and dynamic capacities were not significantly influenced by hierarchical culture.

Design of Question Generator System (QPGS) Using Fisher-Yates Shufling Algorithm

The process of generating question papers for educational assessments is a crucial task in the field of academia. The traditional manual approach to question paper creation is time-consuming and prone to human error. In response to this challenge, the Question Paper Generation System (QPGS) has emerged as a powerful solution that leverages technology to automate and streamline the question paper generation process. The Question Paper Generation System has a profound impact on the education sector by enhancing the quality and efficiency of assessments. It empowers educators to create assessments that align with educational goals and standards, ultimately benefiting both teachers and students. Moreover, it contributes to the overall modernization of educational practices by integrating technology seamlessly into the assessment process. This paper provides an overview of the Question Paper Generation System, highlighting its key features, benefits, and impact on educational institutions. QPGS combines advanced algorithms, database management, and user-friendly interfaces to efficiently produce high-quality question papers tailored to specific subjects, courses, and assessment levels. For efficient randomization and shuffling of the questions in the question bank, the Fisher-Yates shuffle algorithm, also known as the Knuth shuffle or the Durstenfeld shuffle, was used. A hybrid of the Object-Oriented Analysis and Design (OOAD) together with the Structured System Analysis Methodology (SSADM) with Unified Modeling Language (UML) was adopted for the design of the system. The system was implemented using HTML, CSS and JavaScript as the front end, while the back end which deals with the system’s logic was implemented using PHP and MySQL. The results obtained were tested using several test strategies.

Examine the optimal multidisciplinary care teams for patients with chronic kidney disease from a nationwide cohort study.

Multidisciplinary team-based integrated care (MDC) has been recommended for patients with chronic kidney disease (CKD). However, team-based specific structured care systems are not yet established. Therefore, we investigated the efficacy of MDC system and the optimal number of professionals that make up the team for maintaining kidney function and improving prognosis. This nationwide, multicenter, observational study included 2,957 Japanese patients with CKD who received MDC from 2015 to 2019. The patients were divided into four groups according to the number of professionals in the MDC team. Groups A, B, C, and D included nephrologists and one, two, three, and four or more other professionals, respectively. Changes in the annual decline in estimated glomerular filtration rate before and after MDC were evaluated. Cox regression was utilized to estimate the correlation between each group and all-cause mortality and the start of renal replacement therapy (RRT) for 7 years. The change in eGFR significantly improved between before and at 6, 12, and 24 months after MDC in all groups (all p < 0.0001). Comparing group D to group A (reference), the hazard ratio (HR) for all-cause mortality and the start of the RRT was 0.60 (95% confidence interval, 0.48-0.73; p < 0.0001) after adjustment for multiple confounders. Lower HR in group D was confirmed in both diabetes and nondiabetes subgroups. An MDC team comprised of five or more professionals might be associated with improvements in mortality and kidney prognosis. Furthermore, MDC might be effective for treating CKD other than diabetes.

Evaluasi yang Tepat terhadap Kebutuhan Peserta Didik pada Pembelajaran PAI

This study explores the challenges in evaluating student needs within Islamic Religious Education (PAI), where current evaluation practices remain poorly structured and insufficient to fully address student needs. The study aims to improve the effectiveness of PAI education by developing more accurate assessments of teacher roles, preparation, and the learning process. Through a qualitative approach and literature review methodology, this research analyzes relevant academic sources to identify gaps in current evaluation practices and potential solutions for enhancing PAI learning. Key findings reveal that a targeted and comprehensive evaluation framework not only helps meet students' educational needs but also fosters their motivation and sincerity in learning. The implications suggest that a more structured evaluation system can enhance teaching effectiveness and student engagement in Islamic education. Moreover, environmental factors, including school support and parental roles, are recognized as critical in addressing students' learning needs. Therefore, a comprehensive and focused evaluation approach is expected to offer effective solutions for advancing the PAI education system in the future.

On polynomially solvable constrained input selections for fixed and switched linear structured systems

This paper investigates two related optimal input selection problems for fixed (non-switched) and switched structured (or structural) systems. More precisely, we consider selecting the minimum cost of inputs from a prior set of inputs, and selecting the inputs of the smallest possible cost with a bound on their cardinality, all to ensure system structural controllability. Those problems have attracted much attention recently; unfortunately, they are NP-hard in general. In this paper, it is found that, if the input structure satisfies certain ’regularizations’, which are characterized by the proposed restricted total unimodularity notion, those problems can be solvable in polynomial time via linear programming (LP) relaxations. Particularly, the obtained characterizations depend only on the incidence matrix relating the inputs and the source strongly connected components (SCC) of the system structure, irrespective of how the inputs actuate states within the same SCC. They cover all the currently known polynomially solvable cases (such as the dedicated input case), and contain many new cases unexplored in the past, among which the source-SCC separated input (SSSI) constraint is highlighted. Further, these results are extended to switched systems, and a polynomially solvable condition, namely the joint SSSI constraint, is obtained that does not require each of the subsystems to satisfy the SSSI constraint. We achieve these by first formulating those problems as equivalent integer linear programmings (ILPs), and then proving the total unimodularity of the corresponding constraint matrices. We also study solutions obtained via LP-relaxation and LP-rounding in the general case, resulting in some lower and upper bounds. Several examples are given to illustrate the obtained theoretical results.

Implementation of E-Procurement in Micro, Small and Medium Enterprises (MSMEs) in Yogyakarta

PurposeCommunity Service (Abdimas) activities carried out at the MSME "Dapoer Tania" aim to improve marketing methods by increasing the intensity of utilizing social media, increasing the capacity for product and packaging innovation, and implementing operational procedures for the e-procurement system by considering certain criteria for selection. digital supplier that produces a standardized and structured system at "Dapoer Tania" Methods -Implementation of activities is carried out through several stages, namely field observation, training and mentoring. The first stage was collecting data using survey and interview methods. The survey was carried out through direct monitoring of the situation that actually occurred in the MSME "Dapoer Tania". This monitoring is carried out so that it can be described what needs need to be in the information system to be built. Next is the interview. Interviews were conducted through discussions with owners regarding obstacles, business processes and implementation of e-procurement systems and checking existing SOPs in MSMEs. The second stage is carried out after identifying the problems found in the first stage. The third stage is carried out after field observations and training are completed. Results and discussions –Technological developments have brought convenience to services so that many companies are adopting e-procurement as a supply chain support to be able to adapt to market changes and to achieve business goals, such as operational efficiency, sustainability and profitability. Many companies are adopting e-procurement because of its ability to streamline supply chain networks. The emergence of e-procurement has created a higher profile for supply management as well as increased visibility to a company's top management. By adopting this technology, it has influenced organizational performance, both directly and indirectly. The results of this service also show that the marketing method training program by increasing intensity utilizing social media, Conclusion -E-procurement brings transparency and effectiveness in the supply chain and makes a significant contribution to supply chain performance. In addition, e-procurement also allows companies to measure and monitor orders, such as processing time, order delivery time, and current status. Therefore, the implementation of e-procurement in MSMEs plays an important role and will have an impact on improving supply chain performance in MSMEs.

Management and housing factors associated with paratuberculosis-positive herds in small structured alpine cattle husbandry.

Paratuberculosis (Johne´s disease) is a world-wide cattle disease caused by Mycobacterium avium subsp. paratuberculosis (MAP), associated with substantial economic losses. Purchase of subclinically infected animals or contact with animals and equipment of infected farms are known risk factors for disease transmission among herds. The aim of the present study was to identify specific management factors in Austria that triggered a MAP-positive herd status and to evaluate known risk factors for the transmission in cattle in small structured alpine agricultural systems. The agriculture in the Austrian province of Tyrol is characterized by smallholder structures, including shared alpine pastures and traditional barn management techniques. The data from an extensive survey with 50 questions in 2013/2014 and the development of the MAP herd status of 5592 cattle farms by taking feces and blood samples were examined and statistically evaluated. MAP herd status was determined by combining the results of boot swab samples, manure samples, pooled and individual feces samples as well as serological antibody testing by ELISA. The statistical analysis (odds ratio; OR) showed that the use of milk replacers for calf feeding (p=0.047, OR=0.472) and the use of straw as bedding material for cows (p=0.032, OR=0.625) were associated with a decreased chance of being a MAP-positive herd. Further, housing cows in deep litter systems (p=0.028, OR=2.232), the presence of slurry channels (p=0.028, OR=1.411) and the use of solid manure in young cattle (p=0.041, OR=1.744) were associated with an increased OR for being MAP-positive. Surprisingly, sharing of lowland pastures (p=0.564, OR=1.080), alpine pastures (p=0.419, OR=1.143) or farm equipment (p=0.733, OR=0.963) and farm size (p=0.425) had no significant influence on the MAP herd status. The identified differences compared with previously published results in respect of MAP spread in cattle might be attributed to the traditional agricultural structures, including small family-based farms and common pasture during summer in alpine regions. Results of this study contribute to the understanding of the spread of MAP in cattle farming in alpine regions.

Adoption of competence management practices by industries in an emerging country: an analysis via fuzzy TOPSIS

PurposeThe purpose of this paper is to examine competence management practices in Brazilian industries using ISO 10015 as a framework of analysis, which establishes guidelines for competence management and people development.Design/methodology/approachA survey was conducted with 22 high-qualified human resources management (HRM) professionals (81.8% of participants hold a PhD) with extensive experience in the Brazilian industrial sector (an average of 20.4 years). The experts assessed 13 practices (P) elaborated based on the ISO 10015:2020, considering two categories: large industries (LI) and small and medium-sized industries (SMI). Data analysis was performed using Hierarchical Cluster Analysis, frequency analysis, Fuzzy TOPSIS and sensitivity analysis.FindingsThe practice “individual competences are correctly defined by organizations at all hierarchical levels” was deemed the best practice for LIs, while the practice “clear definition of activities and their specificities when structuring competence management and people development programs” was considered the best practice for SMIs. The practice “organizations map employees' future competence and development needs on a regular basis” received the lowest rating for both LIs and SMIs. When compared to LIs, SMIs have more severe deficiencies in applying competence management practices. The study's findings can be of great value in assisting managers in implementing structured competence management systems and people development initiatives.Practical implicationsThe findings of this study can be used by managers of businesses of all sizes and economic sectors to analyze their critical points in order to identify opportunities to improve their competence management systems and people development programs.Originality/valueThis study fills a knowledge gap by analyzing the adoption of competence management practices in Brazil, answering the call for HRM research in developing countries. By using ISO 10015 as a framework of analysis, this study also addresses the literature gap regarding this important and relatively new management tool.

Analysis of trends in the financial sector of the global fuel and energy complex

Understanding the global impact of energy on the economy and the financial sector is crucial for improving their interaction, especially within the fuel and energy complex (FEC). This study aims to identify the primary investment drivers for the financial sector within the FEC. It incorporates opinions, conclusions, and forecasts from leading international organizations that monitor the financial sector and the FEC. Through comprehensive analysis, key investment drivers were identified, including renewable and nuclear energy, risks associated with nuclear energy usage, and the impact of traditional fossil fuel sources. The analysis revealed distinct clusters of investment drivers that shape the future development of the financial sector within the FEC. The study determined the rank, median, and relative ranking of investment attractiveness for each cluster and investment vector. This information is valuable for finance and economics specialists and holds scientific significance for experts studying globalization and energy sector trends. The complex cluster analysis used provides a structured system of potential investment drivers for the development of the financial sector within the FEC. This framework is applicable to related studies relying on expert opinions and forecasts.

Wi-Fi Data Analysis based on Machine Learning

This study proposes using machine learning to improve Wi-Fi network security. As Wi-Fi networks spread from industrial to residential areas, the necessity for strong security has risen. The rise of smart networking, especially in the IoT, has created data security and vulnerability issues. A unique method that uses machine learning to detect abnormalities and probable security breaches in Wi-Fi networks addresses these difficulties. We gather, preprocess, and analyse network data to create a complete dataset. This dataset trains machine learning algorithms to identify and classify network anomalies. Using agile methods, data mining, and machine learning algorithms, we created a Wi-Fi network intrusion detection system (WNIDS) that can detect diverse network threats. The proposed WNIDS contains two linked stages with specific machine learning models. These algorithms accurately classify network data as normal or attack specific. Our technology protects against malicious attacks and provides a robust Wi-Fi network for users across domains by incorporating machine learning. Modern network security dangers were fully understood by surveys and data analysis. The WNIDS was implemented and deployed through a structured system development life cycle. This tool eliminates network weaknesses and advances distant enterprises, offering safe and smooth access for consumers globally.