IA´ Tools for the development of investigative skills
DOI:
https://doi.org/10.62486/latia202317Keywords:
artificial intelligence, learning personalization, virtual simulations, critical skills, teaching of natural sciencesAbstract
This article explores how the artificial intelligence (IA) it is transforming the education in natural sciences by means of strategies pedagogic innovators. The IA allows the learning personalization, adjusting the content and the rhythm to the individual necessities of the students, what improves the understanding and retention of complex concepts significantly. Also, the use of simulations and virtual models believe interactive and visual learning environments, enriching the educational experience. These tools also foment the development of critical and creative skills, promoting a more active and collaborative approach in the resolution of scientific problems. On the whole, these strategies not only improve the effectiveness of learning, but rather they also prepare the students to face the challenges of the XXI century with a solid base in science and technology.
References
Abubakar AM, Gupta D, Parida S. A Reinforcement Learning Approach for Intelligent Conversational Chatbot For Enhancing Mental Health Therapy. Procedia Computer Science. 2024;235:916-25. https://doi.org/10.1016/j.procs.2024.04.087 DOI: https://doi.org/10.1016/j.procs.2024.04.087
Assi H, Cao R, Castelino M, Cox B, Gilbert FJ, Gröhl J, et al. A review of a strategic roadmapping exercise to advance clinical translation of photoacoustic imaging: From current barriers to future adoption. Photoacoustics. 2023;32:100539. https://doi.org/10.1016/j.pacs.2023.100539 DOI: https://doi.org/10.1016/j.pacs.2023.100539
Bueno LA, Sigahi TFAC, Rampasso IS, Leal Filho W, Anholon R. Impacts of digitization on operational efficiency in the banking sector: Thematic analysis and research agenda proposal. International Journal of Information Management Data Insights. 2024;4(1):100230. https://doi.org/10.1016/j.jjimei.2024.100230 DOI: https://doi.org/10.1016/j.jjimei.2024.100230
Chen H-y, Chen Y-h, Liang Q-j, Wang Z-g, Cao J, Zhang D. Effect of Al2O3 insertion layer on ferroelectricity in HfO2/ZrO2 nanolaminates. Transactions of Nonferrous Metals Society of China. 2023;33(10):3113-21. https://doi.org/10.1016/S1003-6326(23)66321-6 DOI: https://doi.org/10.1016/S1003-6326(23)66321-6
Chen Y, Pei W, Xiao H, Ma T. Incentive-compatible and budget balanced AGV mechanism for peer-to-peer energy trading in smart grids. Global Energy Interconnection. 2023;6(1):26-35. https://doi.org/10.1016/j.gloei.2023.02.003 DOI: https://doi.org/10.1016/j.gloei.2023.02.003
Martínez Castillo PJ, López Cruz R, Silva Martínez D. Comportamientos de sustentabilidad. Una aplicación de la teoría VBN en estudiantes de ingeniería. Región Científica. 2024;3(1):2024259. https://doi.org/10.58763/rc2024259 Chi Y, Liu Y. Research on Fintech Public Opinion Situation and Risk Identification Based on DTM. Procedia Computer Science. 2023;221:1178-86. https://doi.org/10.1016/j.procs.2023.08.104 DOI: https://doi.org/10.1016/j.procs.2023.08.104
De Laurentiis V, Caldeira C, Sala S, Tonini D. Life cycle thinking for the assessment of waste and circular economy policy: status and perspectives from the EU example. Waste Management. 2024;179:205-15. https://doi.org/10.1016/j.wasman.2024.02.037 DOI: https://doi.org/10.1016/j.wasman.2024.02.037
Ding Z-B, Shi Y-H, Chen J-F, Fan J, Zhou J. Recent advances in surgical management strategies for hepatocellular carcinoma. hLife. 2024. https://doi.org/10.1016/j.hlife.2024.06.007 DOI: https://doi.org/10.1016/j.hlife.2024.06.007
Du W, Qiu T, Liu H, Liu A, Wu Z, Sun X, et al. The predictive value of serum tumor markers for EGFR mutation in non-small cell lung cancer patients with non-stage IA. Heliyon. 2024;10(9):e29605. https://doi.org/10.1016/j.heliyon.2024.e29605 DOI: https://doi.org/10.1016/j.heliyon.2024.e29605
Giannakidou S, Radoglou-Grammatikis P, Lagkas T, Argyriou V, Goudos S, Markakis EK, et al. Leveraging the power of internet of things and artificial intelligence in forest fire prevention, detection, and restoration: A comprehensive survey. Internet of Things. 2024;26:101171. https://doi.org/10.1016/j.iot.2024.101171 DOI: https://doi.org/10.1016/j.iot.2024.101171
Han X, Zheng Y, Prentice C, Chen S. Firm engagement: Scale development and verification. Journal of Retailing and Consumer Services. 2024;80:103902. https://doi.org/10.1016/j.jretconser.2024.103902 DOI: https://doi.org/10.1016/j.jretconser.2024.103902
Huang Y, Ren Y, Li X. Deep learning techniques for enhanced sea-ice types classification in the Beaufort Sea via SAR imagery. Remote Sensing of Environment. 2024;308:114204. https://doi.org/10.1016/j.rse.2024.114204 DOI: https://doi.org/10.1016/j.rse.2024.114204
Irkham I, Ibrahim AU, Pwavodi PC, Nwekwo CW, Hartati YW. CRISPR-based biosensor for the detection of Marburg and Ebola virus. Sensing and Bio-Sensing Research. 2024;43:100601. https://doi.org/10.1016/j.sbsr.2023.100601 DOI: https://doi.org/10.1016/j.sbsr.2023.100601
Jia D, Wen H, Sun F, Wang Q, Yang Q, Fu T. Dynamic modelling and engineering simulation of fluid mechanics in water injectors. Petroleum Exploration and Development. 2023;50(5):1236-45. https://doi.org/10.1016/S1876-3804(23)60462-8 DOI: https://doi.org/10.1016/S1876-3804(23)60462-8
Jiang C, Zhang Y, Deng P, Lin H, Fu F, Deng C, et al. The Overlooked Cornerstone in Precise Medicine: Personalized Postoperative Surveillance Plan for Non-Small Cell Lung Cancer. JTO Clinical and Research Reports. 2024:100701. https://doi.org/10.1016/j.jtocrr.2024.100701 DOI: https://doi.org/10.1016/j.jtocrr.2024.100701
Bolaños Garita R. Aprendizaje basado en proyectos: una adaptación pedagógica para la innovación y el desarrollo socio-organizacional. Región Científica. 2023;2(2):2023104. https://doi.org/10.58763/rc2023104 DOI: https://doi.org/10.58763/rc2023104
Ledesma JR, Ma J, Zhang M, Basting AVL, Chu HT, Vongpradith A, et al. Global, regional, and national age-specific progress towards the 2020 milestones of the WHO End TB Strategy: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet Infectious Diseases. 2024;24(7):698-725. https://doi.org/10.1016/S1473-3099(24)00007-0 DOI: https://doi.org/10.1016/S1473-3099(24)00007-0
Li X, Liao M, Wang B, Zan X, Huo Y, Liu Y, et al. A drug repurposing method based on inhibition effect on gene regulatory network. Computational and Structural Biotechnology Journal. 2023;21:4446-55. https://doi.org/10.1016/j.csbj.2023.09.007 DOI: https://doi.org/10.1016/j.csbj.2023.09.007
Li Y-p, Wang C-r, Du X-d, Tian W, Zhang T, Hu J-s, et al. Research status and quality improvement of wire arc additive manufacturing of metals. Transactions of Nonferrous Metals Society of China. 2023;33(4):969-96. https://doi.org/10.1016/S1003-6326(23)66160-6 DOI: https://doi.org/10.1016/S1003-6326(23)66160-6
Mizdrakovic V, Kljajic M, Zivkovic M, Bacanin N, Jovanovic L, Deveci M, et al. Forecasting bitcoin: Decomposition aided long short-term memory based time series modeling and its explanation with Shapley values. Knowledge-Based Systems. 2024;299:112026. https://doi.org/10.1016/j.knosys.2024.112026 DOI: https://doi.org/10.1016/j.knosys.2024.112026
Mou D, Wang J, Wang Y, Tang X, Dong Z, Wang N, et al. Performance of anterior segment OCT-based algorithms in the opportunistic screening for primary angle-closure disease. Heliyon. 2024;10(7):e28885. https://doi.org/10.1016/j.heliyon.2024.e28885 DOI: https://doi.org/10.1016/j.heliyon.2024.e28885
Qian L, Wu T, Kong S, Lou X, Jiang Y, Tan Z, et al. Could the underlying biological basis of prognostic radiomics and deep learning signatures be explored in patients with lung cancer? A systematic review. European Journal of Radiology. 2024;171:111314. https://doi.org/10.1016/j.ejrad.2024.111314 DOI: https://doi.org/10.1016/j.ejrad.2024.111314
Shahzad MF, Xu S, Naveed W, Nusrat S, Zahid I. Investigating the impact of artificial intelligence on human resource functions in the health sector of China: A mediated moderation model. Heliyon. 2023;9(11):e21818. https://doi.org/10.1016/j.heliyon.2023.e21818 DOI: https://doi.org/10.1016/j.heliyon.2023.e21818
Tao J, Ting H, Hao X, Linbo F, Wei P, Tengfei M. P2P transaction method for distributed energy prosumers based on reputation value. Global Energy Interconnection. 2023;6(3):308-319. https://doi.org/10.1016/j.gloei.2023.06.005 DOI: https://doi.org/10.1016/j.gloei.2023.06.005
Wang L, Cao J, Feng Y, Jia R, Ren Y. Application of uniportal video-assisted thoracoscopic surgery for segmentectomy in early-stage non-small cell lung cancer: A narrative review. Heliyon. 2024;10(9):e30735. https://doi.org/10.1016/j.heliyon.2024.e30735 DOI: https://doi.org/10.1016/j.heliyon.2024.e30735
Wu L, Chang P, Chen W, Pei T. Generalized load graphical forecasting method based on modal decomposition. Global Energy Interconnection. 2024;7(2):166-78. https://doi.org/10.1016/j.gloei.2024.04.005 DOI: https://doi.org/10.1016/j.gloei.2024.04.005
Xia Y, Sun G, Xiao J, He X, Jiang H, Zhang Z, et al. AlphaFold-guided redesign of a plant pectin methylesterase inhibitor for broad-spectrum disease resistance. Molecular Plant. 2024. https://doi.org/10.1016/j.molp.2024.07.008 DOI: https://doi.org/10.1016/j.molp.2024.07.008
Jiménez Gómez JL, Carmona Suarez EJ. Construcción del pensamiento computacional mediante la incorporación de la educación STEM en el currículo de secundaria del departamento del Quindío (Colombia). Región Científica. 2023;2(1):202326. https://doi.org/10.58763/rc202326 DOI: https://doi.org/10.58763/rc202326
Xu B, Xu T, Ding W, Huang S. Diagnosis of leg diseases in broiler chickens: A retrospective review1. Journal of Integrative Agriculture. 2024. https://doi.org/10.1016/j.jia.2023.12.034 DOI: https://doi.org/10.1016/j.jia.2023.12.034
Xu N, Yang D, Arikawa K, Bai C. Application of artificial intelligence in modern medicine. Clinical eHealth. 2023;6:130-7. https://doi.org/10.1016/j.ceh.2023.09.001 DOI: https://doi.org/10.1016/j.ceh.2023.09.001
Xu Y, Gao Y, Cheng Y, Sun Y, Li X, Pan X, et al. Substation clustering based on improved KFCM algorithm with adaptive optimal clustering number selection. Global Energy Interconnection. 2023;6(4):505-16. https://doi.org/10.1016/j.gloei.2023.08.010 DOI: https://doi.org/10.1016/j.gloei.2023.08.010
Xue X, Abdulsahib GM, Khalaf OI, Jagan J, Loganathan K, Makota C, et al. Soft computing approach on estimating the lateral confinement coefficient of CFRP veiled circular columns. Alexandria Engineering Journal. 2023;81:599-619. https://doi.org/10.1016/j.aej.2023.09.053 DOI: https://doi.org/10.1016/j.aej.2023.09.053
Yang B, Xie R, Duan J, Wang J. State-of-the-art review of MPPT techniques for hybrid PV-TEG systems: Modeling, methodologies, and perspectives. Global Energy Interconnection. 2023;6(5):567-91. https://doi.org/10.1016/j.gloei.2023.10.005 DOI: https://doi.org/10.1016/j.gloei.2023.10.005
Yu Y, Liu M, Chen D, Huo Y, Lu W. Dynamic grouping control of electric vehicles based on improved k-means algorithm for wind power fluctuations suppression. Global Energy Interconnection. 2023;6(5):542-53. https://doi.org/10.1016/j.gloei.2023.10.003 DOI: https://doi.org/10.1016/j.gloei.2023.10.003
Yuan B, Zhao M, Meng S, Zhang W, Zheng H. Intelligent identification and real-time warning method of diverse complex events in horizontal well fracturing. Petroleum Exploration and Development. 2023;50(6):1487-96. https://doi.org/10.1016/S1876-3804(24)60482-9 DOI: https://doi.org/10.1016/S1876-3804(24)60482-9
Zakaria A, Marei MI, Mashaly HM. A Hybrid Interleaved DC-DC Converter Based on Buck-Boost topologies for Medium Voltage Applications. e-Prime - Advances in Electrical Engineering, Electronics and Energy. 2023;6:100301. https://doi.org/10.1016/j.prime.2023.100301 DOI: https://doi.org/10.1016/j.prime.2023.100301
Zeng Z, Yang S, Guo Y, Jin X, Wang R. Meta-heuristic Techniques in Microgrid Management: A Survey. Swarm and Evolutionary Computation. 2023;78:101256. https://doi.org/10.1016/j.swevo.2023.101256 DOI: https://doi.org/10.1016/j.swevo.2023.101256
Zhou Y, Ma Z, Chen H, Wang R. Analysis of multiple-faults of high-voltage circuit breakers based on non-negative matrix decomposition. Global Energy Interconnection. 2024;7(2):179-89. https://doi.org/10.1016/j.gloei.2024.04.006 DOI: https://doi.org/10.1016/j.gloei.2024.04.006
Hajkowicz S, Sanderson C, Karimi S, Bratanova A, Naughtin C. Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021. Technology in Society. 2023;74:102260. https://doi.org/10.1016/j.techsoc.2023.102260 DOI: https://doi.org/10.1016/j.techsoc.2023.102260
Miranda Larroza MM, Sanabria Zotelo ME. Estrategias didácticas en plataformas educativas: experiencia de docentes de Licenciatura en Administración en universidad pública de Paraguay. Región Científica. 2023;2(1):202330. https://doi.org/10.58763/rc202330 DOI: https://doi.org/10.58763/rc202330
Dwivedi YK, Kshetri N, Hughes L, Slade EL, Jeyaraj A, Kar AK, et al. Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management. 2023;71:102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642 DOI: https://doi.org/10.1016/j.ijinfomgt.2023.102642
Pérez A, Rega L-M, García Y. La plataforma MOODLE como espacio para la acción orientadora. Revista Varela. 2022;22(63):181-90. https://revistavarela.uclv.edu.cu/index.php/rv/article/view/1428
El khediri S, Benfradj A, Thaljaoui A, Moulahi T, Ullah Khan R, Alabdulatif A, et al. Integration of artificial intelligence (AI) with sensor networks: Trends, challenges, and future directions. Journal of King Saud University - Computer and Information Sciences. 2024;36(1):101892. https://doi.org/10.1016/j.jksuci.2023.101892 DOI: https://doi.org/10.1016/j.jksuci.2023.101892
Evans AZ, Adhaduk M, Jabri AR, Ashwath ML. Is Virtual Learning Here to Stay? A Multispecialty Survey of Residents, Fellows, and Faculty. Current Problems in Cardiology. 2023;48(6):101641. https://doi.org/10.1016/j.cpcardiol.2023.101641 DOI: https://doi.org/10.1016/j.cpcardiol.2023.101641
Hadi HK, Irawan MI, Nadlifatin R. The Relationship of Virtual Reality and Interpersonal Communication: Bibliometric Overview. Procedia Computer Science. 2024;234:1244-52. https://doi.org/10.1016/j.procs.2024.03.121 DOI: https://doi.org/10.1016/j.procs.2024.03.121
Guerra DDD, Gamboa AJP, Cano CAG. Social network analysis in virtual educational environments: Implications for collaborative learning and academic community development. AWARI. 2023;4:1-12. https://awari.pro-metrics.org/index.php/a/article/view/59 DOI: https://doi.org/10.47909/awari.595
Kyle RG, Bastow F, Harper-McDonald B, Jeram T, Zahid Z, Nizamuddin M, et al. Effects of student-led drama on nursing students' attitudes to interprofessional working and nursing advocacy: A pre-test post-test educational intervention study. Nurse Education Today. 2023;123:105743. https://doi.org/10.1016/j.nedt.2023.105743 DOI: https://doi.org/10.1016/j.nedt.2023.105743
Rahman MA, Faisal RR, Tho C. The Effectiveness of Augmented Reality Using Flash Card in Education to Learn Simple English Words as a Secondary Language. Procedia Computer Science. 2023;227:753-61. https://doi.org/10.1016/j.procs.2023.10.580 DOI: https://doi.org/10.1016/j.procs.2023.10.580
Shim J. Investigating the effectiveness of introducing virtual reality to elementary school students' moral education. Computers & Education: X Reality. 2023;2:100010. https://doi.org/10.1016/j.cexr.2023.100010 DOI: https://doi.org/10.1016/j.cexr.2023.100010
Velásquez Castro LA, Paredes-Águila JA. Revisión sistemática sobre los desafíos que enfrenta el desarrollo e integración de las tecnologías digitales en el contexto escolar chileno, desde la docencia. Región Científica. 2024;3(1):2024226. https://doi.org/10.58763/rc2024226 DOI: https://doi.org/10.58763/rc2024226
Živičnjak M, Mikulčić M, Rožić T, Rigo B. Application of container terminal virtual reality in student education. Transportation Research Procedia. 2023;74:26-33. https://doi.org/10.1016/j.trpro.2023.11.108 DOI: https://doi.org/10.1016/j.trpro.2023.11.108
Sánchez, V, Pérez, AJ, Gómez, CA. Trends and evolution of Scientometric and Bibliometric research in the SCOPUS database. Bibliotecas. Anales de Investigación. 2024;20(1):1-22. http://revistas.bnjm.sld.cu/index.php/BAI/article/view/834/685
Chen, Y, Lin, M, & Zhuang, D. Wastewater treatment and emerging contaminants: Bibliometric analysis. Chemosphere. 2022;297:133932. https://doi.org/10.1016/j.chemosphere.2022.133932 DOI: https://doi.org/10.1016/j.chemosphere.2022.133932
Dharmani, P, Das, S, & Prashar, S. A bibliometric analysis of creative industries: Current trends and future directions. Journal of Business Research. 2021; 135:252–267. https://doi.org/10.1016/j.jbusres.2021.06.037 DOI: https://doi.org/10.1016/j.jbusres.2021.06.037
Núñez-Barahona EG, Espinosa-Cristia JF. Liderazgo ético y comportamiento de los empleados. Análisis cienciométrico en la producción científica. Región Científica. 2024;3(2):2024295. https://doi.org/10.58763/rc2024295 DOI: https://doi.org/10.58763/rc2024295
Gan, Y, He, Q, Li, C, Alsharafi, BLM, Zhou, H, & Long, Z. A bibliometric study of the top 100 most-cited papers in neuroendocrine prostate cancer. Frontiers in Oncology. 2023;13:1146515. https://doi.org/10.3389/fonc.2023.1146515 DOI: https://doi.org/10.3389/fonc.2023.1146515
Kim, TH, & Kang, JW. Research Status Quo in Traditional Mongolian Medicine: A Bibliometric Analysis on Research Documents in the Web of Science Database. Evidence-Based Complementary and Alternative Medicine. 2021:1–7. https://doi.org/10.1155/2021/5088129 DOI: https://doi.org/10.1155/2021/5088129
Moral, JA, Herrera, E, Santisteban, A., & Cobo, MJ. Software tools for conducting bibliometric analysis in science: An up-to-date review. El Profesional de la Información. 2020;29(1). https://doi.org/10.3145/epi.2020.ene.03 DOI: https://doi.org/10.3145/epi.2020.ene.03
Michelet G, Breitinger F, Horsman G. Automation for digital forensics: Towards a definition for the community. Forensic Science International. 2023;349:111769. https://doi.org/10.1016/j.forsciint.2023.111769 DOI: https://doi.org/10.1016/j.forsciint.2023.111769
Barra C, Grimaldi M, Muazzam A, Troisi O, Visvizi A. Digital divide, gender gap, and entrepreneurial orientation: How to foster technology adoption among Pakistani higher education students? Socio-Economic Planning Sciences. 2024;93:101904. https://doi.org/10.1016/j.seps.2024.101904 DOI: https://doi.org/10.1016/j.seps.2024.101904
Wolf D, Göbel T, Baier H. Hypervisor-based data synthesis: On its potential to tackle the curse of client-side agent remnants in forensic image generation. Forensic Science International: Digital Investigation. 2024;48:301690. https://doi.org/10.1016/j.fsidi.2023.301690 DOI: https://doi.org/10.1016/j.fsidi.2023.301690
Roman-Acosta D, Rodríguez Torres E, Baquedano Montoya MB, López Zavala LC, Pérez Gamboa AJ. ChatGPT y su uso para perfeccionar la escritura académica en educandos de posgrado. prax. pedagog. 2024;24(36):53-75. https://revistas.uniminuto.edu/index.php/praxis/article/view/3536 DOI: https://doi.org/10.26620/uniminuto.praxis.24.36.2024.53-75
Shinde AV, Patil DD. A Multi-Classifier-Based Recommender System for Early Autism Spectrum Disorder Detection using Machine Learning. Healthcare Analytics. 2023;4:100211. https://doi.org/10.1016/j.health.2023.100211 DOI: https://doi.org/10.1016/j.health.2023.100211
Miloro M, Han MD, Kwon T-G, Xi T, Borba AM, Reyneke JP, et al. Predicting the Future Focus of Orthognathic Surgery: Outcome-Driven Planning and Treatment With Function, Esthetics, and Occlusion as Key Indicators. Journal of Oral and Maxillofacial Surgery. 2024. https://doi.org/10.1016/j.joms.2024.06.168 DOI: https://doi.org/10.1016/j.joms.2024.06.168
López González YY. Aptitud digital del profesorado frente a las competencias TIC en el siglo XXI: una evaluación de su desarrollo. Región Científica. 2023;2(2):2023119. https://doi.org/10.58763/rc2023119 DOI: https://doi.org/10.58763/rc2023119
Sakshi, Kukreja V. Recent trends in mathematical expressions recognition: An LDA-based analysis. Expert Systems with Applications. 2023;213:119028. https://doi.org/10.1016/j.eswa.2022.119028 DOI: https://doi.org/10.1016/j.eswa.2022.119028
Miller CM. A survey of prosecutors and investigators using digital evidence: A starting point. Forensic Science International: Synergy. 2023;6:100296. https://doi.org/10.1016/j.fsisyn.2022.100296 DOI: https://doi.org/10.1016/j.fsisyn.2022.100296
Beducci E, Acerbi F, Pinzone M, Taisch M. Unleashing the role of skills and job profiles in circular manufacturing. Journal of Cleaner Production. 2024;449:141456. https://doi.org/10.1016/j.jclepro.2024.141456 DOI: https://doi.org/10.1016/j.jclepro.2024.141456
McNaughton KJ. The variability and clustering of Financial Intelligence Units (FIUs) – A comparative analysis of national models of FIUs in selected western and eastern (post-Soviet) countries. Journal of Economic Criminology. 2023;2:100036. https://doi.org/10.1016/j.jeconc.2023.100036 DOI: https://doi.org/10.1016/j.jeconc.2023.100036
Martinez-Garcia A, Horrach-Rosselló P, Mulet-Forteza C. Mapping the intellectual and conceptual structure of research on CoDa in the ‘Social Sciences’ scientific domain. A bibliometric overview. Journal of Geochemical Exploration. 2023;252:107273. https://doi.org/10.1016/j.gexplo.2023.107273 DOI: https://doi.org/10.1016/j.gexplo.2023.107273
Cardeño Portela N, Cardeño Portela EJ, Bonilla Blanchar E. TIC y transformación académica en las universidades. Región Científica. 2023;2(2):202370. https://doi.org/10.58763/rc202370 DOI: https://doi.org/10.58763/rc202370
Arnson B, Kang HR, Brooks ED, Gheorghiu D, Ilich E, Courtney D, et al. Genome editing using Staphylococcus aureus Cas9 in a canine model of glycogen storage disease Ia. Molecular Therapy - Methods & Clinical Development. 2023;29:108-19. https://doi.org/10.1016/j.omtm.2023.03.001 DOI: https://doi.org/10.1016/j.omtm.2023.03.001
Das P, Hazra A, Saha S, Roy S, Mukherjee M, Hazra S, et al. Resolving the polycistronic aftermath: Essential role of topoisomerase IA in preventing R-loops in Leishmania. Journal of Biological Chemistry. 2024;300(4):107162. https://doi.org/10.1016/j.jbc.2024.107162 DOI: https://doi.org/10.1016/j.jbc.2024.107162
Déru V, Tiezzi F, VanRaden PM, Lozada-Soto EA, Toghiani S, Maltecca C. Imputation accuracy from low- to medium-density SNP chips for US crossbred dairy cattle. Journal of Dairy Science. 2024;107(1):398-411. https://doi.org/10.3168/jds.2023-23250 DOI: https://doi.org/10.3168/jds.2023-23250
Fan H, Tian H, Jin F, Zhang X, Su S, Liu Y, et al. CypD induced ROS output promotes intracranial aneurysm formation and rupture by 8-OHdG/NLRP3/MMP9 pathway. Redox Biology. 2023;67:102887. https://doi.org/10.1016/j.redox.2023.102887 DOI: https://doi.org/10.1016/j.redox.2023.102887
Flores-Cruz RD, Espinoza-Guillén A, Reséndiz-Acevedo K, Mendoza-Rodríguez V, López-Casillas F, Jiménez-Sánchez A, et al. Doble synergetic anticancer activity through a combined chemo-photodynamic therapy and bioimaging of a novel Cas-ZnONPs all-in-one system. Journal of Inorganic Biochemistry. 2024;258:112623. https://doi.org/10.1016/j.jinorgbio.2024.112623 DOI: https://doi.org/10.1016/j.jinorgbio.2024.112623
Genet SAAM, Wolfs JRE, Vu CBAK, Wolter M, Broeren MAC, van Dongen J, et al. Analysis of Neuron–Specific enolase isozymes in human serum using immunoaffinity purification and liquid chromatography–tandem mass spectrometry quantification. Journal of Chromatography B. 2023;1223:123701. https://doi.org/10.1016/j.jchromb.2023.123701 DOI: https://doi.org/10.1016/j.jchromb.2023.123701
González-Cabrera M, Torres A, Salomone-Caballero M, Castro N, Argüello A, Hernández-Castellano LE. Intramammary administration of lipopolysaccharides at parturition enhances immunoglobulin concentration in goat colostrum. animal. 2024;18(2):101082. https://doi.org/10.1016/j.animal.2024.101082 DOI: https://doi.org/10.1016/j.animal.2024.101082
Roman-Acosta D. más allá de las palabras: inteligencia artificial en la escritura académica. Escritura Creativa. 2023;4(2):37-58. https://ojs.nfshost.com/index.php/escritura_creativa/article/view/44
Heo S, Kang T, Bygrave AM, Larsen MR, Huganir RL. Experience-Induced Remodeling of the Hippocampal Post-synaptic Proteome and Phosphoproteome. Molecular & Cellular Proteomics. 2023;22(11):100661. https://doi.org/10.1016/j.mcpro.2023.100661 DOI: https://doi.org/10.1016/j.mcpro.2023.100661
Hindenes LB, Ingebrigtsen T, Isaksen JG, Håberg AK, Johnsen L-H, Herder M, et al. Anatomical variations in the circle of Willis are associated with increased odds of intracranial aneurysms: The Tromsø study. Journal of the Neurological Sciences. 2023;452:120740. https://doi.org/10.1016/j.jns.2023.120740 DOI: https://doi.org/10.1016/j.jns.2023.120740
Huaman MAL, Vega-Chacón J, Quispe RIH, Negrón ACV. Synthesis and swelling behaviors of poly(2-hydroxyethyl methacrylate-co-itaconic acid) and poly(2-hydroxyethyl methacrylate-co-sodium itaconate) hydrogels as potential drug carriers. Results in Chemistry. 2023;5:100917. https://doi.org/10.1016/j.rechem.2023.100917 DOI: https://doi.org/10.1016/j.rechem.2023.100917
Jain S, Parimelazhagan Santhi P, Vinod R, Afrin Ruma S, Huhtinen K, Pettersson K, et al. Aberrant glycosylation of α3 integrins as diagnostic markers in epithelial ovarian cancer. Clinica Chimica Acta. 2023;543:117323. https://doi.org/10.1016/j.cca.2023.117323 DOI: https://doi.org/10.1016/j.cca.2023.117323
Jessouroun E, Oliveira MdM, Nogueira BA, Leitão OdL, de Figueredo EP, Leal MdLM, et al. Streptococcus agalactiae serotype Ia capsular polysaccharide production from a Brazilian strain. Carbohydrate Polymer Technologies and Applications. 2024;7:100484. https://doi.org/10.1016/j.carpta.2024.100484 DOI: https://doi.org/10.1016/j.carpta.2024.100484
Li Z, Bi X, Dai Y, Ren R. Enhancing mango anthracnose control and quality maintenance through chitosan and iturin A coating. LWT. 2024;198:115955. https://doi.org/10.1016/j.lwt.2024.115955 DOI: https://doi.org/10.1016/j.lwt.2024.115955
Laplagne Sarmiento C, Urnicia JJ. Protocolos de B-learning para la alfabetización informacional en la Educación Superior. Región Científica. 2023;2(2):202373. https://doi.org/10.58763/rc202373 DOI: https://doi.org/10.58763/rc202373
Liu K, Lin X, Chen X, Chen B, Li S, Li K, et al. Development and validation of a deep learning signature for predicting lymphovascular invasion and survival outcomes in clinical stage IA lung adenocarcinoma: A multicenter retrospective cohort study. Translational Oncology. 2024;42:101894. https://doi.org/10.1016/j.tranon.2024.101894 DOI: https://doi.org/10.1016/j.tranon.2024.101894
Madahar SS, Gideon A, Abdul-Sater AA. Nod-like receptors in inflammatory arthritis. Biomedical Journal. 2024;47(1):100655. https://doi.org/10.1016/j.bj.2023.100655 DOI: https://doi.org/10.1016/j.bj.2023.100655
Maruyama T, Fujii S, Takimoto H. Comparison of estimated and observed evapotranspiration from farmland using inverse analysis and FLUXNET2015. Agricultural Water Management. 2023;287:108414. https://doi.org/10.1016/j.agwat.2023.108414 DOI: https://doi.org/10.1016/j.agwat.2023.108414
Mei Z, Xiaoxue L, Jun W, Erxun Z, Canwei S. Host-Induced Gene Silencing of Effector AGLIP1 Enhanced Resistance of Rice to Rhizoctonia solani AG1-IA. Rice Science. 2024. https://doi.org/10.1016/j.rsci.2024.04.005 DOI: https://doi.org/10.1016/j.rsci.2024.04.005
Zheng Y, Stewart N. Improving EFL students’ cultural awareness: Reframing moral dilemmatic stories with ChatGPT. Computers and Education: Artificial Intelligence. 2024;6:100223. https://doi.org/10.1016/j.caeai.2024.100223 DOI: https://doi.org/10.1016/j.caeai.2024.100223
Jin Z, Goyal SB, Rajawat AS. The Informational Role of Artificial Intelligence in higher Education in the New era. Procedia Computer Science. 2024;235:1008-23. https://doi.org/10.1016/j.procs.2024.04.096 DOI: https://doi.org/10.1016/j.procs.2024.04.096
Mendis T, Filipova B, Wang JJ, Pietropaolo M, Jackson MW. Affinity purification of serum-derived anti-IA-2 autoantibodies in type 1 diabetes using a novel MBP-IA-2 fusion protein. Biochemistry and Biophysics Reports. 2023;33:101413. https://doi.org/10.1016/j.bbrep.2022.101413 DOI: https://doi.org/10.1016/j.bbrep.2022.101413
Rautila OS, Kaivola K, Rautila H, Hokkanen L, Launes J, Strandberg TE, et al. The shared ancestry between the C9orf72 hexanucleotide repeat expansion and intermediate-length alleles using haplotype sharing trees and HAPTK. The American Journal of Human Genetics. 2024;111(2):383-92. https://doi.org/10.1016/j.ajhg.2023.12.019 DOI: https://doi.org/10.1016/j.ajhg.2023.12.019
Schöffski P, Machiels J-P, Rottey S, Sadrolhefazi B, Musa H, Marzin K, et al. Phase Ia dose-escalation trial with the BET protein inhibitor BI 894999 in patients with advanced or metastatic solid tumours. European Journal of Cancer. 2023;191:112987. https://doi.org/10.1016/j.ejca.2023.112987 DOI: https://doi.org/10.1016/j.ejca.2023.112987
Shrestha BR, Wu L, Goodrich LV. Runx1 controls auditory sensory neuron diversity in mice. Developmental Cell. 2023;58(4):306-19.e5. https://doi.org/10.1016/j.devcel.2023.01.008 DOI: https://doi.org/10.1016/j.devcel.2023.01.008
Sundaram V, Ramanan RN, Selvaraj M, Ahemad N, Vijayaraghavan R, MacFarlane DR, et al. Probing the molecular interactions between cholinium-based ionic liquids and insulin aspart: A combined computational and experimental study. International Journal of Biological Macromolecules. 2023;253:126665. https://doi.org/10.1016/j.ijbiomac.2023.126665 DOI: https://doi.org/10.1016/j.ijbiomac.2023.126665
Pérez Egües MA, Torres Zerquera L del C, Hernández Delgado M. Evaluación de las condiciones del Gabinete Psicopedagógico de la Universidad de Cienfuegos en la gestión de servicios de orientación virtual. Región Científica. 2023;2(2):202384. https://doi.org/10.58763/rc202384 DOI: https://doi.org/10.58763/rc202384
Xu D, Gareev I, Beylerli O, Pavlov V, Le H, Shi H. Integrative bioinformatics analysis of miRNA and mRNA expression profiles and identification of associated miRNA-mRNA network in intracranial aneurysms. Non-coding RNA Research. 2024;9(2):471-85. https://doi.org/10.1016/j.ncrna.2024.01.004 DOI: https://doi.org/10.1016/j.ncrna.2024.01.004
Xu Y, Li Z. Alleviating glucose repression and enhancing respiratory capacity to increase itaconic acid production. Synthetic and Systems Biotechnology. 2023;8(1):129-40. https://doi.org/10.1016/j.synbio.2022.12.007 DOI: https://doi.org/10.1016/j.synbio.2022.12.007
Zhang Y-h, Zhai M-j, Shi L, Lei Q-y, Zhang S-t, Zhang L, et al. Sustainable castor oil-based vitrimers: Towards new materials with reprocessability, self-healing, degradable and UV-blocking characteristics. Industrial Crops and Products. 2023;193:116210. https://doi.org/10.1016/j.indcrop.2022.116210 DOI: https://doi.org/10.1016/j.indcrop.2022.116210
Contreras S, Gonzalez A. Integration of artificial intelligence (AI) in the teaching of natural sciences: analysis and reflections from the chilean teacher's thinking and practice. IATED; 2023. https://lens.org/161-670-078-009-808 DOI: https://doi.org/10.21125/iceri.2023.1970
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