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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">dt</journal-id><journal-title-group><journal-title xml:lang="ru">Цифровая трансформация</journal-title><trans-title-group xml:lang="en"><trans-title>Digital Transformation</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2522-9613</issn><issn pub-type="epub">2524-2822</issn><publisher><publisher-name>Educational Establishment “Belarusian State University of Informatics and Radioelectronics”</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.35596/1729-7648-2024-30-4-42-49</article-id><article-id custom-type="elpub" pub-id-type="custom">dt-884</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ЭКОНОМИЧЕСКИЕ НАУКИ, ОБРАЗОВАНИЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ECONOMIC SCIENCES, EDUCATION</subject></subj-group></article-categories><title-group><article-title>Стратегия и тактика внедрения генеративного искусственного интеллекта в инструментальную систему дистанционного обучения DL.GSU.BY</article-title><trans-title-group xml:lang="en"><trans-title>Strategy and Tactics for Introducing Generative Artificial Intelligence into the Instrumental Distance Learning System DL.GSU.BY</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Долинский</surname><given-names>М. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Dolinsky</surname><given-names>M. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Долинский Михаил Семенович, канд. техн. наук, доц. кафедры математических проблем управления и информатики</p><p>246023, г. Гомель, ул. Советская</p></bio><bio xml:lang="en"><p>Dolinsky Michael Semyonovich, Cand. of Sci., Associate Professor at the Department of Mathematical Problems of Control and Informatics</p><p>246023, Gomel, Sovetskaya St., 104</p></bio><email xlink:type="simple">104dolinsky@gsu.by</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Гомельский государственный университет имени Франциска Скорины</institution></aff><aff xml:lang="en"><institution>Francisk Skorina Gomel State University</institution></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>05</day><month>12</month><year>2024</year></pub-date><volume>30</volume><issue>4</issue><fpage>42</fpage><lpage>49</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Долинский М.С., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Долинский М.С.</copyright-holder><copyright-holder xml:lang="en">Dolinsky M.S.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://dt.bsuir.by/jour/article/view/884">https://dt.bsuir.by/jour/article/view/884</self-uri><abstract><p>В статье рассмотрены стратегия и тактика внедрения генеративного искусственного интеллекта (ГенИИ) в инструментальную систему дистанционного обучения DL.GSU.BY. Стратегия заключается в последовательном выполнении следующих этапов разработки: создание возможностей удобной работы с ГенИИ в системе DL; запуск электронных ГенИИ-учеников для автоматического прохождения учебных курсов в системе DL и сравнительный анализ достижений различных ГенИИ между собой и с реальными студентами; накопление и распространение опыта работы студентов ГенИИ; повышение качества обучения с использованием ГенИИ развитием системы препромптов по задачам и предметам; дальнейшая персонализация обучения за счет реализации продвинутых методик использования ГенИИ (активный ГенИИ, Learning by Teaching). Тактика внедрения ГенИИ последовательно и подробно описывает практические шаги по реализации стратегии.</p></abstract><trans-abstract xml:lang="en"><p>This paper provides the strategy and tactics for introducing generative artificial intelligence (GenAI) into the instrumental distance learning system DL.GSU.BY. The strategy consists of sequential implementation of the following stages of development: creating opportunities for convenient work with GenAI in the DL system; launching electronic GenAI students to automatically complete training courses in the DL system and comparative analysis of the achievements of various GenAI among themselves and with real students; accumulation and dissemination of studentsʼ experience working with GenAI; improving the quality of training using GenAI by developing a system of preprompts for tasks and subjects; further personalization of training through the implementation of advanced techniques for using GenAI (active GenAI, Learning by Teaching). GenAI implementation tactics consistently and in details describe practical steps to implement the strategy.</p><p> </p></trans-abstract><kwd-group xml:lang="ru"><kwd>генеративный искусственный интеллект</kwd><kwd>инструментальная система дистанционного обучения</kwd><kwd>DL.GSU.BY</kwd></kwd-group><kwd-group xml:lang="en"><kwd>generative artificial intelligence</kwd><kwd>instrumental distance learning system</kwd><kwd>DL.GSU.BY</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Kaleem M., Hassan M. A., Khurshid S. K. (2024) A Machine Learning-Based Adaptive Feedback System to Enhance Programming Skill Using Computational Thinking. IEEE Access. 12. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10506466.</mixed-citation><mixed-citation xml:lang="en">Kaleem M., Hassan M. A., Khurshid S. K. (2024) A Machine Learning-Based Adaptive Feedback System to Enhance Programming Skill Using Computational Thinking. IEEE Access. 12. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10506466.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Sun Zhang, Jianhao Yang, Xiaoshuang Sang (2023) Exploring the Applications of EduCoder Platform in Blended Teaching for Computer Major. Journal of Education and Educational Research. 4 (2). https://drpress.org/ojs/index.php/jeer/article/view/10819/10528.</mixed-citation><mixed-citation xml:lang="en">Sun Zhang, Jianhao Yang, Xiaoshuang Sang (2023) Exploring the Applications of EduCoder Platform in Blended Teaching for Computer Major. Journal of Education and Educational Research. 4 (2). https://drpress.org/ojs/index.php/jeer/article/view/10819/10528.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Zihao Li, Sun Zhang, Xiaoshuang Sang (2023) Exploration of Machine Learning Teaching Based on the EduCoder Platform. Journal of Education and Educational Research. 4 (3). https://drpress.org/ojs/index.php/jeer/article/download/11387/11088.</mixed-citation><mixed-citation xml:lang="en">Zihao Li, Sun Zhang, Xiaoshuang Sang (2023) Exploration of Machine Learning Teaching Based on the EduCoder Platform. Journal of Education and Educational Research. 4 (3). https://drpress.org/ojs/index.php/jeer/article/download/11387/11088.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Figueiredo J., García-Peñalvo F. J. (2021) Teaching and Learning Tools for Introductory Programming in University Courses. Proceedings of the 2021 International Symposium on Computers in Education (SIIE), 23–24 Sept. 2021, Málaga, Spain. https://doi.org/10.1109/SIIE53363.2021.9583623.</mixed-citation><mixed-citation xml:lang="en">Figueiredo J., García-Peñalvo F. J. (2021) Teaching and Learning Tools for Introductory Programming in University Courses. Proceedings of the 2021 International Symposium on Computers in Education (SIIE), 23–24 Sept. 2021, Málaga, Spain. https://doi.org/10.1109/SIIE53363.2021.9583623.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Phan V., Hicks E. (2018) Code4Brownies: An Active Learning Solution for Teaching Programming and Problem Solving in the Classroom. Proceedings of the 23 rd Annual ACM Conference on Innovation and Technology in Computer Science Education. 153–158. https://dl.acm.org/doi/10.1145/3197091.3197128.</mixed-citation><mixed-citation xml:lang="en">Phan V., Hicks E. (2018) Code4Brownies: An Active Learning Solution for Teaching Programming and Problem Solving in the Classroom. Proceedings of the 23 rd Annual ACM Conference on Innovation and Technology in Computer Science Education. 153–158. https://dl.acm.org/doi/10.1145/3197091.3197128.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Herden O. (2024) Integration of Chatbots for Generating Code into Introductory Programming Courses. International Conference “Future of Education”. https://conference.pixel-online.net/files/foe/ed0014/FP/9091-ICT6673-FP-FOE14.pdf.</mixed-citation><mixed-citation xml:lang="en">Herden O. (2024) Integration of Chatbots for Generating Code into Introductory Programming Courses. International Conference “Future of Education”. https://conference.pixel-online.net/files/foe/ed0014/FP/9091-ICT6673-FP-FOE14.pdf.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Martinez-Araneda C., Gutiérrez M., Maldonado D., Gómez P., Segura A., Vidal-Castro C. (2024) Designing a Chabot to Support Problem-Solving in a Programming Course. INTED2024 Proceedings. 966–975. https://library.iated.org/view/MARTINEZARANEDA2024DES.</mixed-citation><mixed-citation xml:lang="en">Martinez-Araneda C., Gutiérrez M., Maldonado D., Gómez P., Segura A., Vidal-Castro C. (2024) Designing a Chabot to Support Problem-Solving in a Programming Course. INTED2024 Proceedings. 966–975. https://library.iated.org/view/MARTINEZARANEDA2024DES.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Martínez-Araneda C., Gutiérrez Valenzuela M., Gómez Meneses P., Maldonado Montiel D., Segura Navarrete A., Vidal-Castro C. (2023) How Useful TutorBot+ is for Teaching and Learning in Programming Courses: A Preliminary Study. 42 nd IEEE International Conference of the Chilean Computer Science Society (SCCC), Concepcion, Chile. 1–7. https://ieeexplore.ieee.org/abstract/document/10315697.</mixed-citation><mixed-citation xml:lang="en">Martínez-Araneda C., Gutiérrez Valenzuela M., Gómez Meneses P., Maldonado Montiel D., Segura Navarrete A., Vidal-Castro C. (2023) How Useful TutorBot+ is for Teaching and Learning in Programming Courses: A Preliminary Study. 42 nd IEEE International Conference of the Chilean Computer Science Society (SCCC), Concepcion, Chile. 1–7. https://ieeexplore.ieee.org/abstract/document/10315697.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Kimio Kuramitsu, Yui Obara, Miyu Sato, Momoka Obara (2023) KOGI: A Seamless Integration of ChatGPT into Jupyter Environments for Programming Education. In Proceedings of the 2023 ACM SIGPLAN International Symposium on SPLASH-E (SPLASH-E 2023). 50–59. https://doi.org/10.1145/3622780.3623648.</mixed-citation><mixed-citation xml:lang="en">Kimio Kuramitsu, Yui Obara, Miyu Sato, Momoka Obara (2023) KOGI: A Seamless Integration of ChatGPT into Jupyter Environments for Programming Education. In Proceedings of the 2023 ACM SIGPLAN International Symposium on SPLASH-E (SPLASH-E 2023). 50–59. https://doi.org/10.1145/3622780.3623648.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Jian Liao, Linrong Zhong, Longting Zhe, Handan Xu, Ming Liu, Tao Xie (2024) Scaffolding Computational Thinking With ChatGPT. IEEE Transactions on Learning Technologies. 17. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10508087.</mixed-citation><mixed-citation xml:lang="en">Jian Liao, Linrong Zhong, Longting Zhe, Handan Xu, Ming Liu, Tao Xie (2024) Scaffolding Computational Thinking With ChatGPT. IEEE Transactions on Learning Technologies. 17. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10508087.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Sarshartehrani F., Mohammadrezaei E., Behravan M., Gracanin D. (2024) Enhancing E-Learning Experience Through Embodied AI Tutors in Immersive Virtual Environments: A Multifaceted Approach for Personalized Educational Adaptation. Adaptive Instructional Systems. HCII 2024. Lecture Notes in Computer Science. 14727. https://doi.org/10.1007/978-3-031-60609-0_20.</mixed-citation><mixed-citation xml:lang="en">Sarshartehrani F., Mohammadrezaei E., Behravan M., Gracanin D. (2024) Enhancing E-Learning Experience Through Embodied AI Tutors in Immersive Virtual Environments: A Multifaceted Approach for Personalized Educational Adaptation. Adaptive Instructional Systems. HCII 2024. Lecture Notes in Computer Science. 14727. https://doi.org/10.1007/978-3-031-60609-0_20.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Mohammad Abolnejadian, Sharareh Alipour, Kamyar Taeb (2024) Leveraging ChatGPT for Adaptive Learning Through Personalized Prompt-Based Instruction: A CS1 Education Case Study. Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI EA '24). 521, 1–8. https://doi.org/10.1145/3613905.3637148.</mixed-citation><mixed-citation xml:lang="en">Mohammad Abolnejadian, Sharareh Alipour, Kamyar Taeb (2024) Leveraging ChatGPT for Adaptive Learning Through Personalized Prompt-Based Instruction: A CS1 Education Case Study. Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI EA '24). 521, 1–8. https://doi.org/10.1145/3613905.3637148.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Mark Liffiton, Brad Sheese, Jaromir Savelka, Paul Denny (2023) CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes. https://arxiv.org/pdf/2308.06921.</mixed-citation><mixed-citation xml:lang="en">Mark Liffiton, Brad Sheese, Jaromir Savelka, Paul Denny (2023) CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes. https://arxiv.org/pdf/2308.06921.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Paul Denny, Stephen MacNeil, Jaromir Savelka, Leo Porter, Andrew Luxton-Reilly (2024). Desirable Characteristics for AI Teaching Assistants in Programming Education. arXiv. https://arxiv.org/pdf/2405.14178v1.</mixed-citation><mixed-citation xml:lang="en">Paul Denny, Stephen MacNeil, Jaromir Savelka, Leo Porter, Andrew Luxton-Reilly (2024). Desirable Characteristics for AI Teaching Assistants in Programming Education. arXiv. https://arxiv.org/pdf/2405.14178v1.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Majeed Kazemitabaar, Runlong Ye, Xiaoning Wang, Austin Z. Henley, Paul Denny, Michelle Craig, et al. (2024) CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs. arXiv. https://arxiv.org/pdf/2401.11314.</mixed-citation><mixed-citation xml:lang="en">Majeed Kazemitabaar, Runlong Ye, Xiaoning Wang, Austin Z. Henley, Paul Denny, Michelle Craig, et al. (2024) CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs. arXiv. https://arxiv.org/pdf/2401.11314.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Samuel D. George, Prasun Dewan (2024) NotebookGPT – Facilitating and Monitoring Explicit Lightweight Student GPT Help Requests During Programming Exercises. Companion Proceedings of the 29th International Conference on Intelligent User Interfaces. 62–65. https://doi.org/10.1145/3640544.3645234.</mixed-citation><mixed-citation xml:lang="en">Samuel D. George, Prasun Dewan (2024) NotebookGPT – Facilitating and Monitoring Explicit Lightweight Student GPT Help Requests During Programming Exercises. Companion Proceedings of the 29th International Conference on Intelligent User Interfaces. 62–65. https://doi.org/10.1145/3640544.3645234.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Changyoon Lee, Junho Myung, Jieun Han, Jiho Jin, Alice Oh (2023) Learning from Teaching Assistants to Program with Subgoals: Exploring the Potential for AI Teaching Assistants. arXiv. https://arxiv.org/pdf/2309.10419.</mixed-citation><mixed-citation xml:lang="en">Changyoon Lee, Junho Myung, Jieun Han, Jiho Jin, Alice Oh (2023) Learning from Teaching Assistants to Program with Subgoals: Exploring the Potential for AI Teaching Assistants. arXiv. https://arxiv.org/pdf/2309.10419.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Lianne Roest, Hieke Keuning, Johan Jeuring (2024) Next-Step Hint Generation for Introductory Programming Using Large Language Models. Proceedings of the 26th Australasian Computing Education Conference. https://doi.org/10.1145/3636243.3636259.</mixed-citation><mixed-citation xml:lang="en">Lianne Roest, Hieke Keuning, Johan Jeuring (2024) Next-Step Hint Generation for Introductory Programming Using Large Language Models. Proceedings of the 26th Australasian Computing Education Conference. https://doi.org/10.1145/3636243.3636259.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Hyoungwook Jin, Seonghee Lee, Hyungyu Shin, Juho Kim (2023) Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education. arXiv. https://arxiv.org/pdf/2309.14534.</mixed-citation><mixed-citation xml:lang="en">Hyoungwook Jin, Seonghee Lee, Hyungyu Shin, Juho Kim (2023) Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education. arXiv. https://arxiv.org/pdf/2309.14534.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Hyoungwook Jin, Seonghee Lee, Hyungyu Shin, Juho Kim (2023) Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education. arXiv. https://arxiv.org/pdf/2309.14534v2.</mixed-citation><mixed-citation xml:lang="en">Hyoungwook Jin, Seonghee Lee, Hyungyu Shin, Juho Kim (2023) Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education. arXiv. https://arxiv.org/pdf/2309.14534v2.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Dolinsky M. S. (2022a) Instrumental System of Distance Learning DL.GSU.BY and Examples of Its Application. Global Journal of Computer Science and Technology: G Interdisciplinary. 22 (1), 44–53 http://elib.gsu.by/jspui/handle/123456789/54044.</mixed-citation><mixed-citation xml:lang="en">Dolinsky M. S. (2022a) Instrumental System of Distance Learning DL.GSU.BY and Examples of Its Application. Global Journal of Computer Science and Technology: G Interdisciplinary. 22 (1), 44–53 http://elib.gsu.by/jspui/handle/123456789/54044.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Dolinsky (2016) Gomel Training School for Olympiads in Informatics. Olympiads in Informatics. 10, 237–247. DOI: 10.15388/ioi.2016.16.</mixed-citation><mixed-citation xml:lang="en">Dolinsky (2016) Gomel Training School for Olympiads in Informatics. Olympiads in Informatics. 10, 237–247. DOI: 10.15388/ioi.2016.16.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Dolinsky M. S. (2022b) Teaching Algorithms and Programming First Year University Students on Base of Distance Learning System DL.GSU.BY. WSEAS Transactions on Advances in Engineering Education. 19, 52–57. https://wseas.com/journals/articles.php?id=5611.</mixed-citation><mixed-citation xml:lang="en">Dolinsky M. S. (2022b) Teaching Algorithms and Programming First Year University Students on Base of Distance Learning System DL.GSU.BY. WSEAS Transactions on Advances in Engineering Education. 19, 52–57. https://wseas.com/journals/articles.php?id=5611.</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Dolinsky M. S. (2022c) Experience of Blended Learning the Fundamentals of Digital Electronics for First/ Second Year University Students On Base of Distance Learning System DL.GSU.BY. International Journal of Education and Learning Systems. 7, 59–64. https://www.iaras.org/iaras/home/caijels/experience-of-blended-learning-the-fundamentals-of-digital-electronics-for-first-second-year-university-students-on-base-of-distance-learning-system-dl-gsu-by.</mixed-citation><mixed-citation xml:lang="en">Dolinsky M. S. (2022c) Experience of Blended Learning the Fundamentals of Digital Electronics for First/ Second Year University Students On Base of Distance Learning System DL.GSU.BY. International Journal of Education and Learning Systems. 7, 59–64. https://www.iaras.org/iaras/home/caijels/experience-of-blended-learning-the-fundamentals-of-digital-electronics-for-first-second-year-university-students-on-base-of-distance-learning-system-dl-gsu-by.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
