AI technology development has transformed the field of engineering education with its adaptivity-driven, data-based, and ethical-led learning platforms that promote equity, diversity, and inclusivity. But with so much progress being made in so many areas, there are unfortunately gaps in gender equity, representation in cultures around the world, and access to education and jobs in stem education. The paper describes an ethical approach to using AI technology that supports the United Nations 2030 agenda for sustainability. In particular, this includes both Goal 5--Gender Equity--and Goal 10--Reducing Inequalities. Based on a synthesis strategy using both critical thinking strategies related to case studies around the world using AI-based adaptivity platforms to address equity gaps related to education inclusion. The model presented offers a synthesis solution that includes ethical leadership data-related to equity to measure inclusivity based upon sustainability thinking. The result has demonstrated that using AI technology not only increases inclusivity but promotes equity related to access to education in stem education access. Finally, there are concluding remarks related to transforming education into a global system.
Paulo Rita , Wajdy Omran , Ricardo F. Ramos
et al.
Integrating Artificial Intelligence (AI) into marketing has revolutionised this field, offering new avenues of innovation and efficacy. This study aims to unveil the prevailing trends and patterns within the current academic literature about AI applications in Marketing and propose future research directions. The study conducted a comprehensive review by analysing 2,255 articles from the Scopus database from 1980 to 2022, employing a Text Mining approach and Latent Dirichlet Allocation (LDA) topic modelling. The findings suggest trends in research topics of Learning Models, Expert Systems, Natural Language Processing, Social Media, and Consumer Centricity. Outlier topics related to Health, Market Forecast, and Technology Impact on Youth have caught the researchers’ attention. The associated challenges and risks, ethical considerations, and practical implications were presented for each topic. This study develops literature on AI-driven marketing by unearthing the trend topics and suggesting a research agenda. At the same time, it offers actionable insights for businesses to enhance consumer engagement and ethical AI adoption in marketing practices.
Recreation leadership. Administration of recreation services
Fadli Ihsan, Ahmad Nasrulloh, Sigit Nugroho
et al.
Background and purpose
This article aims to provide an overview of the use of technology in sports training, explore current trends, and highlight future directions in this field.
Material and methods
This article examines technology integration's benefits, challenges, and potential in sports training practice through a comprehensive literature analysis.
Results
This literature review reveals that technology is essential in improving sports training processes and outcomes. Various technological tools and applications have been developed to help coaches analyze athlete performance, monitor physical condition, provide feedback, and make decisions based on objective, real-time data.
Conclusion
The use of technology in sports training offers promising benefits but also presents challenges. To optimize the use of technology in sports training, adequate training, support, and collaboration between coaches, sports scientists, and technology developers are required. Recent trends include the integration of artificial intelligence and machine learning algorithms, utilizing big data analytics, and the development of mobile applications for remote training and athlete monitoring. The future of technology use in sports training involves the continuous development of innovative tools and applications, as well as the exploration of new technologies such as augmented reality and blockchain. Future research needs to focus on evaluating the long-term effectiveness and impact of technology-based training interventions, identifying best practices for implementation, and addressing ethical considerations related to data privacy and athlete welfare. These conclusions highlight the importance of technology in sports training and its potential to transform training practices, improve athlete performance and shape the future of sports. However, careful consideration of ethical challenges and concerns is essential to harness the full potential of technology in sports training and ensure its responsible and effective implementation.
Sports, Recreation leadership. Administration of recreation services
Md Arafat Hossain, Jun Han, Muhammad Ashad Kabir
et al.
Enterprise software systems are increasingly integrating with diverse services to meet expanding business demands. Testing these highly interconnected systems presents a challenge due to the need for access to the connected services. Service virtualization has emerged as a widely used technique to derive service models from recorded interactions, for service response generation during system testing. Various methods have been proposed to emulate actual service behavior based on these interactions, but most fail to account for the service's state, which reduces the accuracy of service emulation and the realism of the testing environment, especially when dealing with stateful services. This paper proposes an approach to deriving service models from service interactions, which enhance the accuracy of response generation by considering service state. This is achieved by uncovering contextual dependencies among interaction messages and analyzing the relationships between message data values. The approach is evaluated using interaction traces collected from both stateful and stateless services, and the results reveal notable enhancements in accuracy and efficiency over existing approaches in service response generation.
We present a novel methodology for modelling, visualising, and analysing cyber threats, attack paths, as well as their impact on user services in enterprise or infrastructure networks of digital devices and services they provide. Using probabilistic methods to track the propagation of an attack through attack graphs, via the service or application layers, and on physical communication networks, our model enables us to analyse cyber attacks at different levels of detail. Understanding the propagation of an attack within a service among microservices and its spread between different services or application servers could help detect and mitigate it early. We demonstrate that this network-based influence spreading modelling approach enables the evaluation of diverse attack scenarios and the development of protection and mitigation measures, taking into account the criticality of services from the user's perspective. This methodology could also aid security specialists and system administrators in making well-informed decisions regarding risk mitigation strategies.
The integration of Industry 4.0 technologies into engineering workflows is an essential step toward automating and optimizing plant and process engineering processes. The Asset Administration Shell (AAS) serves as a key enabler for creating interoperable Digital Twins that facilitate engineering data exchange and automation. This paper explores the use of AAS within engineering workflows, particularly in combination with Business Process Model and Notation (BPMN) to define structured and automated processes. We propose a distributed AAS copy-on-write infrastructure that enhances security and scalability while enabling seamless cross organizational collaboration. We also introduce a workflow management prototype automating AAS operations and engineering workflows, improving efficiency and traceability.
Metin YILDIZ, Ahmet Furkan ÇETİNKAYA, Abdurrahman KIRTEPE
The aim of the study was to examine the relationship between recreation department students' learning-supporting life skills and leadership behavior levels. A correlational screening model was used as a research method. The research population consisted of 250 recreation department students studying at the Faculty of Sport Sciences at Fırat University in the 2024-2025 academic year. The study sample consisted of 164 students. A personal information form, a recreational leadership behavior scale, and a learning-supporting life skills scale were used as data collection tools. SPSS 24 analysis program was used to analyze the data. Normal distribution was determined. Percentage, frequency, and arithmetic mean values were calculated. T-test, ANOVA, Pearson correlation, and linear regression analysis were used to determine effect size. All analyses were conducted at a 95% confidence interval. As a result, it was determined that the participants demonstrated positive tendencies in terms of both leadership and life skills. Leadership behaviors and life skills were similar across age groups, while no relationship was observed between these variables and gender. Leadership training was found to have no significant impact on leadership behaviors and life skills, but individuals who regularly read leadership-related documents (books, articles, etc.) adopted a less oppressive and controlling leadership style. Furthermore, it was concluded that as students' life skills improved, their recreational leadership behaviors also strengthened, and therefore, every improvement in life skills contributed to a significant improvement in leadership behavior.Keywords: Leadership Behavior, Learning, Life Skills, Recreation.
The World Radiocommunications Conference 2023 (WRC-23), held in Dubai, intensively discussed several Agenda Items related to possible new International Mobile Telecommunications (IMT) identifications of several radio frequency bands. One example of a frequency band is 10-10.5 GHz, which has a primary allocation to Radiolocation, Earth-Exploration Satellite services. In order to ensure continued protection of such incumbent services, sharing and compatibility studies were conducted, and debated at length, at the ITU-R Study Groups from the year 2020 to 2023. This document presents a coexistence study. During the 41st Meeting of Permanent Consultative Committee II: Radiocommunications of the Inter American Telecommunication Commission (CITEL), one administration modified its previous Draft Inter-American Proposal, to include additional protection to the incumbent services (e.g., EESS (Active)). The same administration introduced three conditions meant to ensure protection of the incumbent services, in particular for the EESS (Active) and Radiolocation Service. Such conditions were: Administrations shall take practical measures to ensure the transmitting antennas of outdoor IMT base stations (BSs) are normally pointing below the true horizon when deployed within 10-10.5 GHz; additionally, the mechanical pointing needs to be at or below the horizon; Administrations shall use side lobe suppression techniques providing 29.5 dB of attenuation for elevation angles above 30 degrees where 0 degrees relates to the horizon and 90 degrees to the zenith, referenced to the maximum antenna gain at the boresight; The maximum equivalent isotropically radiated power (e.i.r.p.) emitted by an IMT base station shall not exceed 32 dB W/100 MHz.
Claims of soft-handed prosecutorial policies and increases in crime were precipitating factors in the removal of Chesa Boudin as district attorney of the city and county of San Francisco. However, little research has been conducted to empirically investigate the veracity of these indictments on the former district attorney. Using regression discontinuity design (RDD), I find that the Boudin administration led to a 36\% and 21\% reduction in monthly prosecutions and convictions respectively for all crimes. Moreover, his tenure increased monthly successful case diversions by 58\%. When only looking at violent crimes during this period, the SFDA's office saw a 36\% decrease, 7\% decrease, and 47\% increase in monthly prosecutions, convictions, and successful case diversions respectively. Although, the decrease in monthly convictions was not statistically significant for the violent crimes subset. Additionally, I did identify a potentially causal relationship between lower numbers of prosecutions and higher levels of criminal activity, however, such findings did not meet the standard for statistical significance. Finally, I conclude that using machine learning algorithms, such as neural networks and K-nearest neighbors, in place of ordinary least squares regression for the estimation of the reduced form equation possibly may decrease the size of the standard errors of the parameters in the structural equation. However, future research needs to be conducted in this space to corroborate these initially promising findings.
Contribution: The combination of ChatGPT with traditional learning resources is very effective in computer science education. High-performing students are the ones who are using ChatGPT the most. So, a new digital trench could be rising between these students and those with lower degree of fundamentals and worse prompting skills, who may not take advantage of all the ChatGPT possibilities. Background: The irruption of GenAI such as ChatGPT has changed the educational landscape. Therefore, methodological guidelines and more empirical experiences in computer science education are needed to better understand these tools and know how to use them to their fullest potential. Research Questions: This article addresses three questions. The first two explore the degree of use and perceived usefulness of ChatGPT among computer science students to learn database administration, where as the third one explore how the utilization of ChatGPT can impact academic performance. Methodology: This contribution presents an exploratory and correlational study conducted with 37 students who used ChatGPT as a support tool to learn database administration. The student grades and a comprehensive questionnaire were employed as research instruments. Findings: The obtained results indicate that traditional learning resources, such as teacher explanations and student reports, were widely used and correlated positively with student grade. The usage and perceived utility of ChatGPT were moderate, but positive correlations between student grade and ChatGPT usage were found. Indeed, a significantly higher use of this tool was identified among the group of outstanding students.
Tax administrative cost reduction is an economically and socially desirable goal for public policy. This article proposes total administrative cost as percentage of total tax revenue as a vivid measurand, also useful for cross-jurisdiction comparisons. Statistical data, surveys and a novel approach demonstrate: Germany's 2021 tax administrative costs likely exceeded 20% of total tax revenue, indicating need for improvement of Germany's taxation system - and for the many jurisdictions with similar tax regimes. In addition, this article outlines possible reasons for and implications of the seemingly high tax administrative burden as well as solutions.
This article proposes a social simulation paradigm based on the GPT-3.5 large language model. It involves constructing Generative Agents that emulate human cognition, memory, and decision-making frameworks, along with establishing a virtual social system capable of stable operation and an insertion mechanism for standardized public events. The project focuses on simulating a township water pollution incident, enabling the comprehensive examination of a virtual government's response to a specific public administration event. Controlled variable experiments demonstrate that the stored memory in generative agents significantly influences both individual decision-making and social networks. The Generative Agent-Based Simulation System introduces a novel approach to social science and public administration research. Agents exhibit personalized customization, and public events are seamlessly incorporated through natural language processing. Its high flexibility and extensive social interaction render it highly applicable in social science investigations. The system effectively reduces the complexity associated with building intricate social simulations while enhancing its interpretability.
Mouhamad Dieye, Wael Jaafar, Halima Elbiaze
et al.
The advent of a new breed of enhanced multimedia services has put network operators into a position where they must support innovative services while ensuring both end-to-end Quality of Service requirements and profitability. Recently, Network Function Virtualization (NFV) has been touted as a cost-effective underlying technology in 5G networks to efficiently provision novel services. These NFV-based services have been increasingly associated with multi-domain networks. However, several orchestration issues, linked to cross-domain interactions and emphasized by the heterogeneity of underlying technologies and administrative authorities, present an important challenge. In this paper, we tackle the cross-domain interaction issue by proposing an intelligent and profitable auction-based approach to allow inter-domains resource allocation.
As a response to the ever-increasing number of suppliers and services, the concept of the impression economy has emerged. In tourist activity, this is extremely important, because it is not a product that is being sold, but impressions. They can be created, adjusted. Creating a positive experience is important for the return tourism business. The use of impression marketing elements will contribute to the sustainable development of tourism in a particular territory. The object of the study is tourist experiences. The subject of the study is the role of various components in the system of consumption of tourist products. The aim of the study is to identify the factors influencing the tourist experience formation as a result of the tourist products consumption. The objectives of the study are the following: to determine the significant factors that influence the formation of the consumer's impression of the visited territory; to identify the reasons that prevent the potential consumer to consider the territory as a possible holiday destination; to identify possible options to eliminate the problems associated with negative impressions. The article provides an overview of the main areas of research in the field of impression economics, including in the tourism industry. The authors aimed to identify the factors influencing the formation of a tourist impression as a result of the consumption of tourist products. An attempt is made to determine the most significant factors from the consumer's point of view that form positive impressions of the visited territory, identify the reasons that prevent a potential consumer from considering the territory as a possible place of rest or re-visit and identify ways to eliminate the negative impression. The authors have chosen a method of questioning consumers of tourist services. During the survey, it was found out that the formation of impressions is influenced by the quality of attractions, not their quantity, involvement in events taking place on a particular territory, service at catering establishments, accommodation. For different types of recreation, the formation of positive emotions is different. Negative emotions are formed in all kinds of experiences (educational, aesthetic, entertaining, escapism). To neutralize the negative experience of tourists, it is necessary to take into account the tools of the impression economy in the promotion of tourist products, both at the level of individual travel agencies and administrations when developing a strategy for the development of tourism in their territories. This will create a basis for attracting tourists to the destination
O. Evstropyeva, T. Zabortceva, Peter P. Popov
et al.
Tourism is one of economic activity that has been most affected by restrictions, connected with the COVID-19 pandemic, which in 2020–2021 has become the main factor in shaping the demand for the tourist product. As a result of quarantine restrictions, the number of tourists and the structure of the tourist flow have changed. The pandemic has impact on recreational activities in the Southern Baikal region (Slyudyansky district of the Irkutsk region) which is the study area. During the field research in the summer (beach and hiking) and winter (mountain skiing) tourist seasons sociological studies (questionnaires and interviews) of recreants were carried out. The tourist geographical spread was defined, as well as the attitude to the social and natural conditions of the territory was found such as safety, tourist infrastructure development, availability of recreational services and products, climate, landscapes beauty, etc. During the pandemic, the geographical spread of tourists narrowed mainly to the Irkutsk-Cheremkhovo agglomeration, foreign tourists practically didn’t come. However, closed borders and domestic tourism subsidization drawn attention to holidays on Baikal for tourists from the western part of Russia, who had before chosen recreation abroad and during the pandemic didn’t cancel trips, but to change the geography of their holidays. Besides air travel, a significant proportion of tourists used personal cars to arrive at their holiday destination. It was established that the pandemic the tourist age ratios has changed in the rejuvenation direction. In the course of the opinion poll, tourists noted the high landscape aesthetic appeal of recreation areas, but the recreational infrastructure, in their opinion, isn’t sufficiently prepared for quality recreation. The results will be forwarded to the Slyudyansky district administration for adjusting measures related to the development of recreational infrastructure.
Introduction: This study analyzes the scientific production in business administration in scientific articles based on modeling partial least squares structural equations (Partial Least Squares Structural Equation Modeling PLS-SEM) in the 2011-2020 period. Methodology: The study is exploratory - descriptive and has three phases: a) Selection of keywords and search criteria; (b) Search and refinement of information; c) information analysis. A method of bibliometric review of the specific literature has been used based on the analysis of predefined indicators and completed with a qualitative content synthesis. Results: A total of 167 publications were analyzed, making correlations from the year, search criteria, authors, impact factor by quartile, and by citation variables. More outstanding scientific production comes from Scopus under the search criteria ((pls AND sem) OR "partial least squares") AND (business OR management), being the figure of 4,870 scientific articles, while Web of Science accumulates 3,946 articles Conclusion: There has been a progressive growth in scientific articles with the PLS-SEM technique from 2011 to 2020. Scopus, compared to WoS, presents a more significant number of scientific productions with this statistical approach. The authors who register scientific articles demonstrate a high H index; in addition, there is an important number of scientific articles with a PLS-SEM approach in universities in Malaysia that could be related to the expansion of higher education in that country, as well as in Singapore, Taiwan, and Indonesia. Finally, business administration, accounting, and economics are outstanding scientific production.
Rajagopal Venkatesaramani, Zhiyu Wan, Bradley A. Malin
et al.
Large genomic datasets are now created through numerous activities, including recreational genealogical investigations, biomedical research, and clinical care. At the same time, genomic data has become valuable for reuse beyond their initial point of collection, but privacy concerns often hinder access. Over the past several years, Beacon services have emerged to broaden accessibility to such data. These services enable users to query for the presence of a particular minor allele in a private dataset, information that can help care providers determine if genomic variation is spurious or has some known clinical indication. However, various studies have shown that even this limited access model can leak if individuals are members in the underlying dataset. Several approaches for mitigating this vulnerability have been proposed, but they are limited in that they 1) typically rely on heuristics and 2) offer probabilistic privacy guarantees, but neglect utility. In this paper, we present a novel algorithmic framework to ensure privacy in a Beacon service setting with a minimal number of query response flips (e.g., changing a positive response to a negative). Specifically, we represent this problem as combinatorial optimization in both the batch setting (where queries arrive all at once), as well as the online setting (where queries arrive sequentially). The former setting has been the primary focus in prior literature, whereas real Beacons allow sequential queries, motivating the latter investigation. We present principled algorithms in this framework with both privacy and, in some cases, worst-case utility guarantees. Moreover, through an extensive experimental evaluation, we show that the proposed approaches significantly outperform the state of the art in terms of privacy and utility.
The problems university students face during their education life often lead to undesirable situations as stress resources. Thus, various methods, techniques and strategies are employed in order to avoid negative effects of stress in their lives. Leisure is one of the effective methods in coping with stress, and leisure coping strategies are “leisure companionship”, “leisure palliative coping” and “leisure mood enhancement”. However, there are few studies in the literature focusing on the relationship between these strategies and perceived stress. Exploring this relationship is believed to provide valuable insights for university administrations so that they might offer effective recreation programs for their students. Therefore, this study aims to examine the relationship between perceived stress and leisure coping strategies. In addition, it examines whether there is a difference in perceived stress and strategies according to time spent for leisure activities and type of leisure participation. The participants of the study are 338 students, who were determined by using convenience sampling method. The data were collected through a survey that consists of three parts. The first part includes Perceived Stress Scale (PSS), the second one Leisure Coping Strategies Scale (LCSS) and the third one demographic questions about the participants. The data were analyzed by using Pearson Moment-Product correlation, t-test and ANOVA analyses. According to the findings, there is a negative significant relationship between perceived stress level, leisure coping strategies and its subdimensions. The study also found that perceived stress level of the participants who prefer passive participation in leisure activities is significantly different from that of those who prefer active participation. Similarly, the participants who prefer passive participation in leisure activities is significantly different from those who prefer active participation in terms of leisure coping strategies. In conclusion, the study contributes to the literature with these valuable findings and provides important insights for university campus recreation programs and services.
The article deals with the nature and content of project activity as an object of scientific research. It is determined that the project management toolkit provides opportunities for ensuring the efficiency of public administration and the need for its decentralization, facilitating business development by improving the provision of public services, while reducing their cost and complexity. The essence of the concept of project management has been investigated and the relationship of projects with the activities of public authorities, the government, which can be traced through the implementation of programs at the state level or measures to fulfill the commitments undertaken by local authorities, has been identified. Attention is drawn to the fact that the project activity of public authorities has a number of features, among which the key are its regulation (time constraint), compliance with community requests, focus on territorial unit development and openness. The author also suggested a scheme of project activity and considered all components of this process. Particular attention is paid to the factors that improve the effectiveness of project implementation: the knowledge component - human capital, process monitoring, sources of funding and communications. The article also presents the author's classification of the project activity of public authorities, depending on the goals, the main types of project activity were separated: social orientation (solving problems of overcoming poverty, preserving the health of the population, observing human rights, ensuring the well-being and safety of children, etc.); infrastructural character (development of public transport network, improvement of public services, improvement of logistics on roads, location and number of pre-school educational institutions, etc.); environmental orientation (environmental protection, conservation of reserves, construction of treatment plants and introduction of the best treatment technologies, development of secondary production, etc.); investment nature (development of recreation and tourism areas, the spread of digital technologies in public services (SMART technologies), implementation of joint projects with business companies within the framework of corporate social responsibility programs and public-private partnerships, etc.). Keywords: project activity, public authorities, human capital, communications, monitoring.