Integration Issues Research Articles

Harnessing artificial intelligence for data-driven energy predictive analytics: A systematic survey towards enhancing sustainability

The escalating trends in energy consumption and the associated emissions of pollutants in the past century have led to energy depletion and environmental pollution. Achieving comprehensive sustainability requires the optimization of energy efficiency and the implementation of efficient energy management strategies. Artificial intelligence (AI), a prominent machine learning paradigm, has gained significant traction in control applications and found extensive utility in various energy-related domains. The utilization of AI techniques for addressing energy-related challenges is favored due to their aptitude for handling complex and nonlinear data structures. Based on the preliminary inquiries, it has been observed that predictive analytics, prominently driven by artificial neural network (ANN) algorithms, assumes a crucial position in energy management across various sectors. This paper presents a comprehensive bibliometric analysis to gain deeper insights into the progression of AI in energy research from 2003 to 2023. AI models can be used to accurately predict energy consumption, load profiles, and resource planning, ensuring consistent performance and efficient resource utilization. This review article summarizes the existing literature on the implementation of AI in the development of energy management systems. Additionally, it explores the challenges and potential areas of research in applying ANN to energy system management. The study demonstrates that ANN can effectively address integration issues between energy and power systems, such as solar and wind forecasting, power system frequency analysis and control, and transient stability assessment. Based on the comprehensive state-of-the-art study, it can be inferred that the implementation of AI has consistently led to energy reductions exceeding 25%. Furthermore, this article discusses future research directions in this field.

THE STRUCTURE OF INFORMATION AND EDUCATION ENVIRONMENT OF A MEDICAL UNIVERSITY

The authors examine the process of transformation of the educational infrastructure of medical universities during the transition to a mixed form of studying while COVID – 19 quarantine. Analysis of scientific publications on the digital transformation of the higher education system has shown the effectiveness of a hybrid model for organizing a virtual learning environment, which combines the ground-based infrastructure of the university and can include private and public cloud services. Hybrid model allows providing appropriate technological conditions for quality organization of teachers' work in online mode of distance learning system. Cloud services allow organizing a virtual group educational environment - a virtual classroom and a personal environment for students. The authors analyzed the changes in the infrastructure of Zaporizhzhia State Medical University in the process of digital transformation of the educational process during the period of COVID-19 quarantine, which became the ground for the development of a structural model of the information and educational environment of the university. The work focuses on the fact that one of the features of the educational process in medical universities is the usage of special learning tools: software and hardware systems for examination of a patient's condition, technical means of telemedicine, classroom self-training sessions for Licensing Integrated Exams “KROK” 1,2,3 on the basis of licensed software, etc. The authors conducted a systematic analysis and identified the technological components of the unified information educational environment of medical HEIs, namely: corporate computer network; workplaces of participants in the development of online courses (designer, lecturer of videoconferencing, moderator of video lectures or webinars, designer of video processing; specialized modeling systems; simulation complexes; software and hardware complexes for processing biological signals; specialized classrooms: computer room of the library, lecture halls for remote video lectures with interactive communication, lecture halls for interactive lectures, media centers for webinars and telemedicine consultations; cloud services . The proposed structure of information and educational environment of a medical university was implemented in the educational process of Zaporizhzhia State Medical University which made possible the creation of a cloud-oriented educational environment. The usage of hybrid cloud model allowed to solve the issue of integration of virtual environments of departments, in particular, territorially remote ones, and the ground infrastructure of the university.

The sphere of State customs services as a service economic and management system: Conceptual ideas and research problems

Subject. The article considers the sphere of State customs services, presented as a service economic and management system. Objectives. The aim is to present conceptual provisions and reveal problematic areas of research in the sphere of State customs services as an economic system. Methods. The study rests on the methodology of systems analysis and a holistic evolutionary approach, using methods of critical, structural, and comparative analysis. Results. Based on the synthesis of economic and managerial approaches, an attempt is made to comprehend the representation of the sphere of State customs services as a sphere of economic production, where the main product of labor of customs officials is a managerial decision as a service. The sphere of customs services is considered as a holistic tiered economic and management system. The aspects characterizing the system, i.e. service (service–oriented, customer-focused, etc.), economic, managerial, organizational, organizational and economic, and others can be studied as specific systems in the context of a system-wide formulation of integrity issues. Conclusions. The synthesis of economic and managerial methodology in the form of organizational and economic approach enabled to formulate a range of urgent problems requiring development and being priority areas of scientific research within the framework of the specialty passport.

Pressure to Plagiarize and the Choice to Cheat: Toward a Pragmatic Reframing of the Ethics of Academic Integrity

In light of the burgeoning influence of LLM AI programs like ChatGPT in a variety of academic contexts and the COVID-19 pandemic’s expansion of virtual classrooms and coursework, the philosophical framing of academic integrity and plagiarism is being re-examined. In concert with these technological changes, students are also facing increasing pressure to succeed in their academic pursuits. Inasmuch as the consequences of failure in these contexts are often dire academically, socially, and financially, we argue that students often weigh the choice to plagiarize not as an ethical issue but as a pragmatic mitigation of risk. Using three salient examples of plagiarism and cheating from higher education in North America as case studies, we explore the pressures and contexts that have influenced the choice to engage in plagiarism and cheating through this pragmatic lens. As an ethical framing of the issue of academic integrity has been less effective in ameliorating plagiarism in this pressurized climate, we propose a way in which educators, administrators and policy makers might approach the issue in this same pragmatic frame. In short, rather than combat plagiarism by teaching its moral repugnance, we propose educators could argue instead that plagiarism and cheating are pragmatically untenable simply because they are detrimental to learning.

К гармонизации «Евразийского законодательства» сквозь призму технического регулирования и стандартизации (на примере России и Армении) / On the Way to Harmonization of «Eaurasian Legislation» Through Technical Regulation and Standardization (Russia and Armenia Overview)

The article analyzes the issues of the Eurasian integration in the context of the applicable technical regulation standards, including standardization, accreditation, conformity assessment, state control (supervision) over compliance with the EAEU technical regulations. One of the main article’s endpoints is that the development of uniform standards for the Union member states will lead to a reduction in import of goods and positively effect on the import substitution programs.

Popular Issues in Islamic Education Management

This research aims to find popular issues in Islamic education management. This is done because a study requires assistance in mapping problems that need to be overcome and improved in the management system so that it becomes better so that it is easier to adapt in its implementation. This research method uses literature study with data taken from the latest journal articles on Google Scholar from 2020 to 2023 only. The results of the research found that there are 10 popular issues in Islamic education management which include (1) the issue of integration of Islamic values, (2) the issue of empowering teachers and teaching staff, (3) the issue of using technology in Islamic education, (4) the issue of resource management power, (5) issues of parent and community participation, (6) issues of curriculum development, (7) issues of character and ethics development, (8) issues of overcoming radicalism and extremism, (9) issues of justice and equality, and (10) issues of performance measurement and evaluation. The novelty of this research found that the most popular issue in Islamic education management is the issue of radicalism and extremism (issue 8) because the discussion is highest during 2023. Thus, issue 8 is an issue that requires a special approach and can be anticipated both internally and externally from every Islamic school in Indonesia.
 Keywords: Issue Islamic Education Management, Education Management, Popular Issues Management

Armenian Diaspora of Mordovia: Socio-Cultural Portrait (Experience of Sociological Analysis)

Introduction. The relevance of studying national diasporas in Russia is due to the intensification of ethno-confessional contradictions in the near abroad and the expansion of migration flows. The importance of the issues of adaptation and integration of migrants within the framework of established regional societies increases, a certain conflict potential within diasporas is fixed. The scientific novelty consists in the fact that the data of the sociological study of the Armenian Diaspora for 2023 was introduced into scientific circulation. The purpose of the article is to describe the sociocultural portrait of the Armenian Diaspora in the conditions of a multi-ethnic and multi-confessional region (Republic of Mordovia).Methodology and sources. The genre of the sociological portrait in the framework of the study of society involves a comprehensive description of society, a systematic analysis of its basic characteristics. The authors compiled a sociocultural portrait of the Armenian diaspora, and at the same time emphasized the problems of adaptation and integration of Armenians into the multiethnic space of the region.Results and discussion. The primary data were the results of two waves of sociological research in 2017 and 2023, conducted by employees of the State Institution of the Republic of Moldova «Scientific Center for Socio-Economic Monitoring». 185 respondents were interviewed in 2017 and 285 in 2023. The sample is targeted, the recruitment of respondents was carried out through regional diaspora networks, as well as by the «snowball» method. As a result, the features of the settlement of the Armenian Diaspora, employment and labor practices are identified. The article characterizes the ethnic and confessional attitudes of the diaspora, and also reveals the specifics of social identity and linguistic attitudes.Conclusion. The socio-cultural portrait of the Armenian Diaspora in Mordovia is quite static and differs in already formed features. The social well-being of Armenians in Mordovia is generally positive. Positive assessments prevail in the perception of the financial situation, relations with the local society, and respect for their rights. The integration processes taking place in the Armenian Diaspora are characterized by a high degree of expression and positive dynamics, but do not imply complete assimilation. Integration occurs with varying degrees of intensity in specific areas of everyday life, such as economic, social, cultural and political.

The Impact of AI on Contact Resistance and Its Suitability in Fine Pitch Interconnects

Integration issues for a three-dimensional (3D) interconnect in a Face-to-Face (F2F) configuration are discussed. In particular, the effect of AI and organic dielectrics under the bump and their effect in chip-package-interaction (CPI) stresses as well as AI contact resistance issues that arise as the interconnection pitch is decreased. This paper will present a finite-element model created to study the stresses in advanced 3D microelectronic package. To assess the reliability of the 3D packages a submodeling approach is used to capture the CPI stresses. The modeling study presented indicates that it is beneficial to continue using AI pads as it has significatly lower stresses compared to copper pads/vias. In the second portion of the paper, the effect of PBO developer on AI corrosion is presented. Reactive ion etching (RIE) chemistries and wet chemistries were optimized using contact resistance as the success metric. Process robustness was achieved by decoupling the hard dielectric opening from the PBO via opening. Time of Flight Secondary Ion Mass Spectrometry (ToF-SIMS), Scanning Electron Microscopy (SEM), X-ray Photoelectron Spectroscopy (XPS) analysis were used to add clarity to the bump contact resistance values.

Optimal energy storage system design for addressing uncertainty issues in integration of supply and demand-side management approaches

The primary goal of Sustainable Development Goal 7 (SDG 7) is to increase renewable energy use to reduce reliance on fossil fuels and mitigate climate change. Energy-intensive industries can benefit from in-house renewable power generation, reducing their reliance on fossil fuel-based grid power and making processes greener. However, integration among power generation/purchase, energy storage systems (ESS), and power consumption is crucial to overcome the intermittent nature of renewable power sources. ESS plays a vital role in increasing resilience and optimizing material production based on power availability and pricing. The efficacy of ESS needs critical evaluation considering cost, efficiency, and uncertainties related to renewable power generation and material product demand. The paper proposes two scenario-based optimization approaches to assess the impact of uncertainties on the integrated supply and demand side management (ISDM) system, focusing on lithium-ion batteries and cryogenic energy storage (CES). Compared to the conservative approach of the scenario-based robust optimization (SRO) method, the proposed stochastic simulation optimization (SSO) method provides a ‘risk-neutral’ solution, which is 6.45% less than the minimum expected cost solution. The analysis also suggests that lithium-ion batteries are more economically effective for the proposed integrated framework than CES, resulting in almost a 29% reduction in operating costs compared to no battery option. The proposed framework could contribute to sustainable and economically viable energy management practices in energy-intensive industries. Further research and implementation of such frameworks could accelerate the adoption of renewable energy and energy storage technologies in industrial processes.

Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review

Background: Autonomous ships have the potential to increase operational efficiency and reduce carbon footprints through technology and innovation. However, there is no comprehensive literature review of all the different types of papers related to autonomous ships, especially with regard to their integration with ports. This paper takes a systematic review approach to extract and summarize the main topics related to autonomous ships in the fields of container shipping and port management. Methods: A machine learning method is used to extract the main topics from more than 2000 journal publications indexed in WoS and Scopus. Results: The research findings highlight key issues related to technology, cybersecurity, data governance, regulations, and legal frameworks, providing a different perspective compared to human manual reviews of papers. Conclusions: Our search results confirm several recommendations. First, from a technological perspective, it is advised to increase support for the research and development of autonomous underwater vehicles and unmanned aerial vehicles, establish safety standards, mandate testing of wave model evaluation systems, and promote international standardization. Second, from a cyber–physical systems perspective, efforts should be made to strengthen logistics and supply chains for autonomous ships, establish data governance protocols, enforce strict control over IoT device data, and strengthen cybersecurity measures. Third, from an environmental perspective, measures should be implemented to address the environmental impact of autonomous ships. This can be achieved by promoting international agreements from a global societal standpoint and clarifying the legal framework regarding liability in the event of accidents.

Enhancing the quality of teaching and learning through ChatGPT and similar large language models: Challenges, future prospects, and ethical considerations in education

The integration of Artificial Intelligence (AI) into the field of education has ushered in a transformative shift in the creation and dissemination of assignments. This research delves into the implications and complexities surrounding the incorporation of AI-enhanced ChatGPT submission in the realm of education. AI-enhanced ChatGPT submissions offer a multitude of benefits. First and foremost, they offer educators a convenient means to produce a wide array of content, encompassing quizzes, essay prompts, and problem sets, thus saving both time and effort. AI has the capacity to customize assignments according to the specific needs of individual students, ensuring personalized learning experiences. Additionally, AI's ability to analyze student performance data can aid educators in pinpointing areas where students might be facing challenges, allowing them to adapt their teaching methods accordingly. Nonetheless, this innovation also raises substantial concerns. The authenticity and quality of AI-generated submission may come under scrutiny, potentially giving rise to issues of plagiarism and academic integrity. It is crucial to ensure that AI-generated content aligns with educational objectives and standards. Before disseminating AI-generated submission to students, educators must meticulously curate and review them. Furthermore, the role of teachers in the educational process extends beyond merely assigning tasks. They provide mentorship, guidance, and feedback that surpass the capabilities of ChatGPT. This human touch is indispensable for nurturing critical thinking, fostering creativity, and enhancing emotional intelligence. Ethical considerations also play a pivotal role. Both students and educators must comprehend how AI-generated assignments are created, ensuring transparency in the process. Safeguards must be in place to safeguard data privacy, and measures need to be taken to address bias in AI algorithms. Hence, it is imperative for teachers and educational institutions to critically evaluate the place of AI in education and determine the circumstances under which AI-generated assignments can be integrated to enrich the educational landscape.

Methodological development of the CBPR conceptual model in promoting partnership in a multidisciplinary paediatric care project in western China

The community‐based participatory research (CBPR) conceptual model has emerged as a popular methodological approach to facilitate collaboration between health professionals and community members to achieve project goals and improve health outcomes. Most existing literature has either introduced or explored the direct application of the CBPR conceptual model to paediatric care projects. Few have studied the mechanisms by which partnerships are built following this model. For the study described in this article, interviews were conducted with the health professionals and community participants on a research team about their application of the CBPR conceptual model to promote partnership in a project serving families of children with cancer in western China. Twenty themes identified from the results validated and expanded existing constructs and added new ones (challenges from COVID‐19, enhanced stigma, researcher–practitioner divide, misunderstanding in the process and validity and research integrity issues) to the model. The findings presented can be used to enlighten those engaging in partnerships and the framework created can be directly applied to guide participants to identify critical issues at the beginning of a project as well as to reflect on the sustainability of the partnership both during and after the project.

Enhancing data accuracy and reliability in maternal and child health: MCGL success story

Background: Accurate maternal and child health data are essential for informed decision-making; however, maintaining consistent data quality in postnatal care and live birth records remains a persistent challenge. Since the inception of MCGL, discrepancies within these datasets have compromised the data's quality for decision making. Recognizing this, the need for an effective solution to rectify data integrity issues and enhance reliability became evident. Methods: Mentorship at the facility level was conducted for healthcare staff to ensure a clear understanding of indicators for accurate reporting, focusing on new data elements introduced in the KHIS 2020 revision. In collaboration with health information officers, the project monitoring, evaluation, and learning officer identified sets of indicators, along with closely related proxy indicators, for monitoring. A systematic approach was employed, involving a comparative analysis of primary indicators and corresponding proxy indicators. For instance, if 100 live births were recorded, an expectation of 100 infants receiving postnatal care within 48 hours was anticipated. Regular monthly communication was established with HRIOs to identify and validate discrepancies that emerged during the comparison. Results: Significant improvement in data quality was observed. From October 2020 to September 2021, 6,337 infants received PNC within 48 hours, accounting for 56% of the 11,309 live births. In the subsequent years (October 2021 to September 2022 and October 2022 to September 2023), this p increased to 89% and 92%, respectively. Conclusion: The combined impact of mentorship and regular monthly communication can enhance data quality, instilling increased confidence in data use for informed decision making.

Plagiarism in Academic Writing in Higher Education Institutions: A Bibliometric Analysis

Higher education institutions (HEI) are increasingly challenged by plagiarism, which threatens their academic standards and integrity. This is due to the fact that students have access to an overwhelming amount of information online, making it easier for them to copy and paste without giving proper credit or attribution. Additionally, the prevalence of technology has made it easier to copy and paste without detection. The study aimed to analyze the trends in plagiarism in academic writing by using bibliometric analysis, which is a technique that can measure and analyze the use of published documents. This analysis was used to identify any potential changes in the prevalence of plagiarism in academic writing over time and to identify potential factors that could be influencing it. The data is extracted from Scopus database with Boolean and proximity search strategy and found 579 related journal articles. There are tabulations of results ranging from descriptive analysis, citation analysis, co-citation analysis, and co-word analysis. The descriptive findings revealed that 'academic integrity', despite not being included in the search string, was the most commonly occurring word with 284 indicating a significant relationship between plagiarism in academic writing in HEIs. In addition, citation analysis for the top ten documents was presented. The findings of co-citation analysis highlight factors, new trends of academic integrity, and mitigation plans against plagiarism, while co-word analysis are thematically presented in three prominent clusters which is academic misconduct study, ethics and academic integrity. In most prominent articles cited by many authors, contract cheating is the new trend of plagiarism. As a result, it sheds light on the fact that academic integrity issues go beyond a new phenomenon that needs to be taken seriously. This study has both theoretical and practical implications for minimizing future plagiarism risks as well as identifying and recommending potential solutions to the problem.

Generation of Revision Identifier (rsid) Numbers in MS Word

The 2007 implementation of the Office Open XML standard for Microsoft Word introduced the assignation of individual revision save identifiers (Rsid) to document editing sessions that end in a save action. The relevant standards ECMA (2016) and ISO/ IEC 29500-1:2016 (2016) stipulate that these Rsid should be allocated randomised but with increasing numerical value, thereby documenting the progress of the editing. As MS Word is the most ubiquitous word processing software, Rsid appear to be a useful tool to examine and provide evidence for a wide range of common document generation editing and modification processes and file management operations, with implications for document analysis including, but not limited to academic integrity issues in student assignment submissions (e.g. contract cheating). This paper presents the results of a series of experiments conducted to assess whether and how well MS Word implements the ECMA and ISO/ IEC standards. The results show that the number of allocated Rsid indeed increases with each edit and save action, with the previous Rsids carried over and retained. The newly allocated Rsid, however, do not conform to the standard as the numerical value of a Rsid associated with a save action may be larger or smaller than any or all of those allocated during that of the previous save actions. The allocation of a new Rsid is not necessarily caused by an edit event but that a new Rsid can also be generated if a file is saved as rtf or if it is sent as an e-mail from within MS Word, although the file was not edited in any way. Rsid numbers are not generated if a person opens a MS Word document, reads it and closes the file without saving, making this action impossible to detect. MS Word template files on a given machine contain document (root) Rsid numbers that are generated when a newly installed application is launched for the first time. As these will be embedded as legacy Rsid into every new file generated from that template file, they act as signatures for all MS Word documents that are created. The experiments have shown that user behaviour has a direct influence on the number of Rsid represented in a given file. Although the implementation of Office Open XML chosen by Microsoft is not compliant with the relevant standards, and thus Rsid cannot be used determine the exact chronological order of all editing sequences within a given document, the Rsid retain their value for document forensics as they are associated with specific edit events, and illuminate the document writing and editing process.

IDeSyDe: Systematic Design Space Exploration via Design Space Identification

Design space exploration (DSE) is a key activity in embedded design processes, where a mapping between applications and platforms that meets the process design requirements must be found. Finding such mappings is very challenging due to the complexity of modern embedded platforms and applications. DSE tools aid in this challenge by potentially covering sections of the design space that could be unintuitive to designers, leading to more optimised designs. Despite this potential benefit, DSE tools remain relatively niche in the embedded industry. A significant obstacle hindering their wider adoption is integrating such tools into embedded design processes. We present two contributions that address this integration issue. First, we present the design space identification (DSI) approach for systematically constructing DSE solutions that are modular and tuneable. Modularity means that DSE solutions can be reused to construct other DSE solutions, while tuneability means that the most specific DSE solution is chosen for the target DSE problem. Moreover, DSI enables transparent cooperation between exploration algorithms. Second, we present IDeSyDe, an extensible DSE framework for DSE solutions based on DSI. IDeSyDe allows extensions to be developed in different programming languages in a manner compliant with the DSI approach. We showcase the relevance of these contributions through five different case studies. The case study evaluations showed that non-exploration DSI procedures create overheads, which are marginal compared to the exploration algorithms. Empirically, most evaluations average 2% of the total DSE request. More importantly, the case studies have shown that IDeSyDe indeed provides a modular and incremental framework for constructing DSE solutions. In particular, the last case study required minimal extensions over the previous case studies so that support for a new application type was added to IDeSyDe.

ChatGPT and Assessment in Higher Education: A Magic Wand or a Disruptor?

There is a current debate about the extent to which ChatGPT, a natural language AI chatbot, can disrupt processes in higher education settings. The chatbot is capable of not only answering queries in a human-like way within seconds but can also provide long tracts of texts which can be in the form of essays, emails, and coding. In this study, in the context of higher education settings, by adopting an experimental design approach, we applied ChatGPT-3 to a traditional form of assessment to determine its capabilities and limitations. Specifically, we tested its ability to produce an essay on a topic of our choice, created a rubric, and assessed the produced work in accordance with the designed rubric. We then evaluated the chatbot’s work by assessing ChatGPT’s application of its rubric according to a modified version of Paul’s (2005) Intellectual Standards rubric. Using Christensen et al.’s (2015) framework on disruptive innovations, our study found that ChatGPT was capable of completing the set tasks competently, quickly, and easily, like a “magic wand”. However, our findings also challenge the extent to which all of the ChatGPT’s demonstrated capabilities can disrupt this traditional form of assessment, given that there are aspects of its construction and evaluation that the technology is not yet able to replicate as a human expert would. These limitations of the chatbot can provide us with an opportunity for addressing vulnerabilities in traditional forms of assessment in higher education that are subject to academic integrity issues posed by this form of AI. We conclude the article with implications for teachers and higher education institutions by urging them to reconsider and revisit their practices when it comes to assessment.

Use of Chat GPT in English for Engineering Classes: Are Students’ and Teachers’ Views on Its Opportunities and Challenges Similar?

Mobile technologies have become increasingly important in the field of education, providing innovative ways to engage students and enrich their learning experiences. ChatGPT is an innovative tool that can be used in English for Specific Purposes (ESP) classes to engage students, enhance their knowledge and skills, and add variety and interest to the traditional process of learning engineering English, whether accessed through computers or mobile devices. In light of this, the study aims to investigate and compare the attitudes of technical university students and teachers towards using ChatGPT in English classes, as well as their perspectives on academic integrity issues and the strategies they employ when using ChatGPT. The study involved 22 teachers and 60 students from a Ukrainian university. Quantitative research, which involved collecting data through surveys, showed that students exhibited positive attitudes, while teachers took a more neutral approach. Both groups agree that ChatGPT plays a supplementary role in enhancing both hard and soft skills, as well as English language communication skills. However, they emphasized its impact on the development of research skills. The study highlights critical issues related to academic integrity, specifically the differing perceptions of possible violations between students and teachers. The authors present ideas on integrating ChatGPT into ESP classes, enabling teachers to leverage artificial intelligence (AI) tools for language learning and adapt to changing educational landscapes. The study emphasizes the importance of integrating ChatGPT effectively into engineering English classes to support students’ learning. While emphasizing the importance of guidelines for academic integrity, it also advocates for the creative use of AI tools by teachers and students. Addressing the disparity in attitudes suggests providing teacher professional development to ensure proficient use of AI tools.

The problem of implementing the concept of maximum integration of heterogeneous data in practical navigation

The topic of the work is the research of the problem of the practical realization of opportunistic navigation, which actually consists in the fact that the “signals of opportunity” are not optimized for global navigation according to their original purpose. A hypothesis about the possibility of strategic application of the navigation concept based on the principles of data integration with the objective existence of tactically surmountable difficulties is put forward. In the conditions of vulnerability of the global satellite system, an approach to use an additional source of combined signals in order to continuously ensure accurate geolocation of water transport vehicles is proposed. The comparative assessment confirms the comparability of the positioning error of alternative navigation with the data of classical satellite observations of mobile objects. An assumption about the effectiveness of spline modeling of the cartographic standard of informativeness for the practical organization of the basic principle of opportunistic positioning by analogy with the paradigm of correlation-extreme navigation is made. A computer visualization of a fixed fragment of the ocean gravitational field based on spline approximation is performed in order to optimize the problem of simultaneous localization and three-dimensional representation of the ship movement in a graphical environment unaffiliated with foreign software. A hybrid algorithm for mathematical synthesis of the navigational isosurface has been tested as a harmonized support for the navigation staff to implement the “terrain-referenced procedure” in the landscape coordinate space. The variants of the “ambiguity resolution” problem implementation in the issue of maximum integration of heterogeneous navigation data are considered. The probability of practical use of the opportunistic navigation postulates in marine applications, taking into account the “navigation gap” factor for leveling local satellite incapacity with a real possibility of countering malicious interception of ship control, is estimated. The expediency of using the factor of observational reckoning of the vessel path as an additional condition for navigation safety in the aspect of packet processing of the “signals of opportunity” slot is substantiated.

The ChatGPT Effect: Nursing Education and Generative Artificial Intelligence.

This article examines the potential of generative artificial intelligence (AI), such as ChatGPT (Chat Generative Pre-trained Transformer), in nursing education and the associated challenges and recommendations for their use. Generative AI offers potential benefits such as aiding students with assignments, providing realistic patient scenarios for practice, and enabling personalized, interactive learning experiences. However, integrating generative AI in nursing education also presents challenges, including academic integrity issues, the potential for plagiarism and copyright infringements, ethical implications, and the risk of producing misinformation. Clear institutional guidelines, comprehensive student education on generative AI, and tools to detect AI-generated content are recommended to navigate these challenges. The article concludes by urging nurse educators to harness generative AI's potential responsibly, highlighting the rewards of enhanced learning and increased efficiency. The careful navigation of these challenges and strategic implementation of AI is key to realizing the promise of AI in nursing education. [J Nurs Educ. 2024;63(X):XXX-XXX.].