Literatura académica sobre el tema "Implicit and explicit knowledge bases"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Implicit and explicit knowledge bases".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Implicit and explicit knowledge bases"
Willingham, Daniel B. y Kelly Goedert-Eschmann. "The Relation Between Implicit and Explicit Learning: Evidence for Parallel Development". Psychological Science 10, n.º 6 (noviembre de 1999): 531–34. http://dx.doi.org/10.1111/1467-9280.00201.
Texto completoDienes, Zoltan, Donald Broadbent y Dianne C. Berry. "Implicit and explicit knowledge bases in artificial grammar learning." Journal of Experimental Psychology: Learning, Memory, and Cognition 17, n.º 5 (1991): 875–87. http://dx.doi.org/10.1037/0278-7393.17.5.875.
Texto completoZhang, Yongjie y Ansheng Deng. "Redundancy Reduction Algorithms in Rule-Based Knowledge Bases". International Journal of Pattern Recognition and Artificial Intelligence 30, n.º 09 (noviembre de 2016): 1660011. http://dx.doi.org/10.1142/s0218001416600119.
Texto completoROGERS, JOHN, ANDREA RÉVÉSZ y PATRICK REBUSCHAT. "Implicit and explicit knowledge of inflectional morphology". Applied Psycholinguistics 37, n.º 4 (21 de julio de 2015): 781–812. http://dx.doi.org/10.1017/s0142716415000247.
Texto completoĎurišová, Libuše. "Vocational Education Based on Knowledge or Experience?" Lifelong Learning 1, n.º 1 (2011): 22–32. http://dx.doi.org/10.11118/lifele2011010122.
Texto completoBornstein, Robert F. "Unconscious motivation and phenomenal knowledge: Toward a comprehensive theory of implicit mental states". Behavioral and Brain Sciences 22, n.º 5 (octubre de 1999): 758. http://dx.doi.org/10.1017/s0140525x99252181.
Texto completoLee, Joo Young, Sun Hwa Hahn y Jung Sun Yoon. "A Study on the Knowledge Community for Creating and Sharing Implicit Knowledge". Key Engineering Materials 277-279 (enero de 2005): 331–36. http://dx.doi.org/10.4028/www.scientific.net/kem.277-279.331.
Texto completoDubravac, Vildana. "Explicit and implicit knowledge of English tenses of primary school EFL learners in Bosnia and Herzegovina". Strani jezici 51, n.º 1 (2022): 77–104. http://dx.doi.org/10.22210/strjez/51-1/4.
Texto completoZereshki, Forouzan y Ghafour Rezaie. "The Impact of Structured Input and Consciousness Raising Tasks on the Acquisition of Implicit and Explicit Knowledge of EFL Learners". International Journal of English Linguistics 8, n.º 3 (5 de febrero de 2018): 55. http://dx.doi.org/10.5539/ijel.v8n3p55.
Texto completoKoike, Asako y Toshihisa Takagi. "Knowledge discovery based on an implicit and explicit conceptual network". Journal of the American Society for Information Science and Technology 58, n.º 1 (2006): 51–65. http://dx.doi.org/10.1002/asi.20421.
Texto completoTesis sobre el tema "Implicit and explicit knowledge bases"
Dwyer, Susan Jane. "Making "implicit" explicit--toward an account of implicit linguistic knowledge". Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/13442.
Texto completoHining, Josiane Basso. "Learning difficulty, L2 proficiency, and implicit and explicit knowledge". reponame:Repositório Institucional da UFSC, 2012. http://repositorio.ufsc.br/xmlui/handle/123456789/93704.
Texto completoMade available in DSpace on 2012-10-25T02:22:47Z (GMT). No. of bitstreams: 1 287034.pdf: 7881043 bytes, checksum: a9b12ab844a768b0b6288b5c8850be33 (MD5)
Baseado na afirmação de que a replicação de estudos é um item importante na pauta da Linguística Aplicada, o presente estudo foi baseado no estudo de Ellis (2006) e teve como objetivo (1) examinar algumas estruturas gramaticais considerando a dificuldade de aprendizado dos alunos a partir de um escopo implícito e explícito, e (2) examinar a relação entre o conhecimento implícito e explícito das estruturas gramaticais investigadas neste estudo e a proficiência da L2. Os dados foram coletados na Universidade Federal de Santa Catarina, com 45 alunos estudantes de inglês como língua estrangeira. Todos os participantes fizeram os 4 testes propostos por Ellis (2006) e 31 fizeram um teste de proficiência (PET). A média dos resultados combinados foi calculada para comparar os resultados do conhecimento implícito e explícito em relação as 17 estruturas gramaticais investigadas. A análise estatística empregada demonstrou que a estrutura fácil para conhecimento implícito foi perguntas encaixadas (embedded questions). Para conhecimento explícito as estruturas fáceis foram: complemento verbal, desde/por, orações relativas, perguntas no final da frase (question tags), artigo indefinido, construções bitransitivas (dative alternation), comparativo, e 3ª. pessoa #s. Estruturas difíceis para conhecimento implícito foram: perguntas sim/não, condicionais irreais, desde/por, orações relativas, perguntas no final da frase (question tags), vii possessivo #s, plural #s, artigo indefinido e 3ª. pessoa #s. Além disso, correlações significativas foram encontradas entre os resultados das estruturas gramaticais e o teste de proficiência (PET). A análise de regressão múltipla demonstrou que ambos os tipos de conhecimento prevêem a proficiência da língua de um modo geral.
Based on the claim that the replication of studies is an important item in the agenda of Applied Linguistics, the present study aimed at determining the extent to which the findings of Ellis (2006) can be replicated in a context where participants are foreign language learners. More specifically, the present study aimed at (1) examining some grammatical structures in the light of students# learning difficulty towards an implicit and explicit scope, and (2) examining the relationship between implicit and explicit knowledge of the grammatical structures investigated here and general L2 proficiency. Data was gathered at Universidade Federal de Santa Catarina, from 45 Brazilian students of English as an L2. All participants performed the four tests proposed by Ellis (2006). Thirty-one participants volunteered to take the proficiency test (PET). Combined means scores were computed in order to compare the scores of implicit and explicit knowledge towards the seventeen grammatical structures investigated. The statistical analysis employed indicated that the easy structure for implicit knowledge was embedded questions, for explicit knowledge the easy structures found were: verb complement, since/for, relative clauses, question tags, indefinite article, dative alternation, comparative, and, 3rd person #s. Difficult structures for implicit knowledge were: yes/no questions, unreal conditionals, since/for, relative clauses, question tags, possessive #s, plural #s, indefinite article, and 3rd person #s. Moreover, significant correlations were found between the grammatical structures and the proficiency test (PET). A multiple regression analysis demonstrated that both types of knowledge predict general language proficiency.
Ziori, Eleni. "The effect of prior knowledge on implicit and explicit concept learning". Thesis, University of Sussex, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366075.
Texto completoPerez, Lissette. "How output affects explicit and implicit knowledge of Spanish indirect object pronouns". Diss., Temple University Libraries, 2014. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/246515.
Texto completoPh.D.
Although many studies have suggested positive effects for speaking or output practice on L2 grammar development, the question of how speaking affects L2 grammar remains. This study specifically examines how output affects the explicit and implicit knowledge of Spanish indirect object pronouns (IOPs). It also investigates levels of L2 grammar development for participants with low, mid and high levels of background knowledge of Spanish subject-verb agreement. Eight participants were given explicit grammar instruction on the target structure followed by six paired output-focus activities. These included two information-gap tasks, a matching task, a partner interview, original sentence creation, and a dictogloss task. In each task participants were required to orally produce IOPs whether they were reading a prepared IOP or producing one originally based on a prompt. In order to capture qualitative data on the effectiveness of output, all paired interaction was transcribed and coded for language related episodes (LREs). In this study three types of LREs were identified: self-correction, other-correction and metatalk. Learners were also tested on IOPs immediately before instruction, immediately following and three weeks afterward. Quantitative data consisted of these results of pre, post, and delayed posttests, the number of IOPs produced during all instructional activities, and the percentage of correct IOPs produced compared to those omitted or produced incorrectly. Development of explicit knowledge was assessed by an untimed written picture description task, whereas implicit knowledge was assessed on the tests by a timed grammaticality judgment task. The results of the picture description task showed more consistent gains in development of explicit knowledge. The results of the grammaticality judgment task were more irregular and suggested less consistent gains in development of implicit knowledge. Together, quantitative and qualitative results suggest that explicit instruction followed by output practice was most effective for learners in this study with greater knowledge of subject-verb agreement. A comparison of qualitative results and test scores revealed that learners who showed more focus on the lexicon during instructional tasks and did not produce IOPs as often, and also had lower scores on both tests. Stronger learning outcomes were observed for learners who produced more IOPs, had a higher percentage of correct IOPs and were involved in LREs.
Temple University--Theses
Osorio, Ricardo M. Tamayo. "Sources of dissociation in the forgetting trajectories of implicit and explicit knowledge". Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2009. http://dx.doi.org/10.18452/15867.
Texto completoIn this dissertation I investigate dissociations in the forgetting patterns of implicit and explicit knowledge. I claim that this approach may provide significant constraints for the assumption that a single system or mechanism determines both implicit and explicit processes. In the theoretical part, I construe a definition of implicit knowledge as information learned and retrieved without intention. I also explain the general role of single dissociations in theories of implicit knowledge. And I present an overview of the main lines of research concerned with the functions, operation, development, neural substrates, and forgetting patterns of implicit knowledge. In general, I argue that comparing the forgetting patterns of implicit and explicit knowledge may be best regarded from a graded perspective and may usefully bridge the gap between research on implicit learning and implicit memory. In a series of 4 Experiments university students were exposed to environmental regularities embedded in artificial grammar (AG) and serial reaction time (SRT) tasks. To compare the forgetting patterns, participants’ implicit (motor-performance based) and explicit (recognition based) knowledge was assessed before and after a retention interval. Taken together, the results indicate that explicit knowledge decays faster than implicit knowledge in both AG and SRT tasks. Furthermore, an interference task introduced instead of a retention interval produced the same pattern of dissociations. Finally, I conducted a set of simulations to asses the ability of a single-system model (Shanks, Wilkinson, & Channon, 2003) to account for my experimental results. The simulations showed that the model best fits the empirical data by introducing changes in the parameters related to (a) the common knowledge strength (for implicit and implicit knowledge), and (b) the reliability for the explicit test. In sum, my dissertation (1) suggests a conceptual framework for implicit and explicit knowledge, (2) provides new empirical evidence of dissociations in their forgetting patterns, and (3) identifies specific boundary conditions for a single-system model.
Taylor, Hazel Ann. "Risk management and tacit knowledge in IT projects: making the implicit explicit". Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/15907/1/Hazel_Ann_Taylor_Thesis.pdf.
Texto completoTaylor, Hazel Ann. "Risk management and tacit knowledge in IT projects: making the implicit explicit". Queensland University of Technology, 2004. http://eprints.qut.edu.au/15907/.
Texto completoNavarro, Lucas Fonseca. "Mining ontologies to extract implicit knowledge". Universidade Federal de São Carlos, 2016. https://repositorio.ufscar.br/handle/ufscar/8152.
Texto completoApproved for entry into archive by Marina Freitas (marinapf@ufscar.br) on 2016-10-21T13:48:51Z (GMT) No. of bitstreams: 1 DissLFN.pdf: 3044084 bytes, checksum: 821534c448710467d6addecc27edfec0 (MD5)
Approved for entry into archive by Marina Freitas (marinapf@ufscar.br) on 2016-10-21T13:48:57Z (GMT) No. of bitstreams: 1 DissLFN.pdf: 3044084 bytes, checksum: 821534c448710467d6addecc27edfec0 (MD5)
Made available in DSpace on 2016-10-21T13:49:18Z (GMT). No. of bitstreams: 1 DissLFN.pdf: 3044084 bytes, checksum: 821534c448710467d6addecc27edfec0 (MD5) Previous issue date: 2016-04-07
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
With the exponentially growing of data available on the Web, several projects were created to automatically represent this information as knowledge bases(KBs). Knowledge bases used in most projects are represented in an ontology-based fashion, so the data can be better organized and easily accessible. It is common to map these KBs into a graph to apply graph mining algorithms to extract implicit knowledge from the KB, knowledge that sometimes is easy for human beings to infer but not so trivial to a machine. One common graph-based task is link prediction, which can be used not only to predict edges (new facts for the KB) that will appear in a near future, but also to nd misplaced edges (wrong facts present in the KB). In this project, we create algorithms that uses graph-mining (mostly link-prediction based) approaches to nd implicit knowledge from ontological knowledge bases. Despite of common graph-mining algorithms, we mine not just the facts on the KB, but also the ontology information (such as categories of instances and relations among them). The implicit knowledge that our algorithms will nd, is not just new facts for the KB, but also new relations and categories, extending the ontology as well.
Com o crescimento exponencial dos dados disponíveis na Web, diversos projetos foram criados para automaticamente representar esta informação como bases de conhecimento( KBs). As bases de conhecimento utilizadas na maioria destes projetos são representadas através de uma ontologia, então os dados são melhor organizados e facilmente acessíveis. E comum mapear estes KBs utilizando grafos para aplicação de algoritmos de mineração em grafos com o intuito de extrair conhecimento implícito do KB, conhecimento que as pode ser facil para seres humanos inferir mas não são tão triviais para uma maquina. Uma tarefa comum e a predição de arestas, que pode ser usada para encontrar arestas (fatos no KB) que vão aparecer em um futuro próximo, e além disso para encontrar arestas mal alocadas (fatos incorretos no KB). Neste projeto, criamos algoritmos que utilizam mineração em grafos (na maioria baseados em predição de arestas) para encontrar conhecimento implícito em bancos de conhecimento ontológicos. Apesar do uso comum de algoritmos de predição de arestas, vamos minerar também informações da ontologia (como categorias das instancias e relações entre elas). O conhecimento implícito que nossos algoritmos vai encontrar, serão não somente novos fatos para o KB, mas também novas relações e categorias, estendendo também a ontologia.
Correa, Maite. "Metalinguistic Knowledge and the Acquisition of the Spanish Subjunctive by Learners at Three Proficiency Levels". Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/195552.
Texto completoZihlman, Kirk A. "Is physical practice necessary for parallel development of implicit and explicit sequence knowledge? Evidence from observational learning". Texas A&M University, 2005. http://hdl.handle.net/1969.1/3761.
Texto completoLibros sobre el tema "Implicit and explicit knowledge bases"
Dingli, Alexiei. Knowledge Annotation: Making Implicit Knowledge Explicit. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.
Buscar texto completoDingli, Alexiei. Knowledge Annotation: Making Implicit Knowledge Explicit. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20323-7.
Texto completoDina, Tirosh, ed. Implicit and explicit knowledge: An educational approach. Norwood, N.J: Ablex Pub. Corp., 1994.
Buscar texto completoRebuschat, Patrick. Implicit and explicit learning of languages. Amsterdam: John Benjamins Publishing Company, 2015.
Buscar texto completoImplicit and explicit knowledge in second language learning, testing and teaching. Buffalo: Multilingual Matters, 2009.
Buscar texto completoSun, Ron. Exploring the interaction of implicit and explicit processes to facilitate individual skill learning. Arlington, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, 2005.
Buscar texto completoDingli, Alexiei. Knowledge Annotation: Making Implicit Knowledge Explicit. Springer, 2011.
Buscar texto completoDingli, Alexiei. Knowledge Annotation: Making Implicit Knowledge Explicit. Springer Berlin / Heidelberg, 2013.
Buscar texto completoTirosh, Dina. Implicit & Explicit Knowledge: An Educational Approach (Human Development). Ablex Publishing, 1994.
Buscar texto completoRebuschat, Patrick. Implicit and Explicit Learning of Languages. Benjamins Publishing Company, John, 2015.
Buscar texto completoCapítulos de libros sobre el tema "Implicit and explicit knowledge bases"
Dimitrov, Boyan N. y Peter G. Petrov. "Controlled Processes with Explicit or Implicit Breakdowns and Repeat Actions". En System Fault Diagnostics, Reliability and Related Knowledge-Based Approaches, 415–28. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3929-5_23.
Texto completoSchewe, Klaus-Dieter y Qing Wang. "Towards an Integration of Probabilistic and Knowledge-Based Data Analysis Using Probabilistic Knowledge Patterns". En Implicit and Explicit Semantics Integration in Proof-Based Developments of Discrete Systems, 131–51. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5054-6_7.
Texto completoErlam, Rosemary, Shawn Loewen y Jenefer Philp. "10. The Roles of Output-based and Input-based Instruction in the Acquisition of L2 Implicit and Explicit Knowledge". En Implicit and Explicit Knowledge in Second Language Learning, Testing and Teaching, 241–61. Bristol, Blue Ridge Summit: Multilingual Matters, 2009. http://dx.doi.org/10.21832/9781847691767-012.
Texto completoHe, Cheng, Chao Peng, Na Li, Xiang Chen, Zhengfeng Yang y Zhenhao Hu. "CIFEF: Combining Implicit and Explicit Features for Friendship Inference in Location-Based Social Networks". En Knowledge Science, Engineering and Management, 168–80. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55393-7_16.
Texto completoWannous, Rouaa, Cécile Vincent, Jamal Malki y Alain Bouju. "An Ontology-Based Approach for Handling Explicit and Implicit Knowledge over Trajectories". En Communications in Computer and Information Science, 403–13. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23201-0_41.
Texto completoPantförder, Dorothea, Julia Schaupp y Birgit Vogel-Heuser. "Making Implicit Knowledge Explicit – Acquisition of Plant Staff’s Mental Models as a Basis for Developing a Decision Support System". En Communications in Computer and Information Science, 358–65. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58750-9_50.
Texto completoEllis, Nick C. "Implicit and Explicit Knowledge About Language". En Language Awareness and Multilingualism, 113–24. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-02240-6_7.
Texto completoEllis, Nick C. "Implicit and Explicit Knowledge About Language". En Language Awareness and Multilingualism, 1–12. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-02325-0_7-1.
Texto completoEllis, Nick C. "Implicit and Explicit Knowledge About Language". En Language Awareness and Multilingualism, 1–12. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-02325-0_7-2.
Texto completoGodfroid, Aline. "Implicit and Explicit Learning and Knowledge". En Research Questions in Language Education and Applied Linguistics, 823–29. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79143-8_142.
Texto completoActas de conferencias sobre el tema "Implicit and explicit knowledge bases"
Li, Jia, Yuyuan Zhao, Zhi Jin, Ge Li, Tao Shen, Zhengwei Tao y Chongyang Tao. "SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis". En CIKM '22: The 31st ACM International Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3511808.3557452.
Texto completoRibeiro, Jandson S. y Matthias Thimm. "Consolidation via Tacit Culpability Measures: Between Explicit and Implicit Degrees of Culpability". En 18th International Conference on Principles of Knowledge Representation and Reasoning {KR-2021}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/kr.2021/50.
Texto completoLorini, Emiliano, Elise Perrotin y François Schwarzentruber. "Epistemic Actions: Comparing Multi-agent Belief Bases with Action Models". En 19th International Conference on Principles of Knowledge Representation and Reasoning {KR-2022}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/kr.2022/24.
Texto completoMocanu, Ionela G. "On the Learnability of Knowledge in Multi-Agent Logics". En Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/685.
Texto completoYu, Hongyuan, Ting Li, Weichen Yu, Jianguo Li, Yan Huang, Liang Wang y Alex Liu. "Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting". En Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/328.
Texto completo"A Study of Neural and Fuzzy Parameters for Explicit and Implicit Knowledge-based Systems". En 1st International Workshop on Artificial Neural Networks: data preparation techniques and application development. SciTePress - Science and and Technology Publications, 2004. http://dx.doi.org/10.5220/0001149700490059.
Texto completoWang, Jin, Zhongyuan Wang, Dawei Zhang y Jun Yan. "Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification". En Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/406.
Texto completoKristensen, Kjetil y Hans Petter Hildre. "Developing New Methods of Improving Design Productivity by Focusing on Transitions Between Working Situations". En ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/de-23281.
Texto completoShui, Changjian, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang y Christian Gagné. "A Principled Approach for Learning Task Similarity in Multitask Learning". En Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/478.
Texto completoBraga, Julião, Francisco Regateiro, Joaquim L. R. Dias y Itana Stiubiener. "A machine learning domain ontology to populate knowledge base to support intelligent agents working in autonomous systems domains of the Internet infrastructure". En Workshop Pré-IETF. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/wpietf.2021.15778.
Texto completoInformes sobre el tema "Implicit and explicit knowledge bases"
Bilovska, Natalia. TACTICS OF APPROACHING THE AUTHOR CLOSER TO THE READER: INTERACTIVE COOPERATION. Ivan Franko National University of Lviv, febrero de 2022. http://dx.doi.org/10.30970/vjo.2022.51.11408.
Texto completode Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.
Texto completoGuppy, Lisa, Paula Uyttendaele, Karen Villholth y Vladimir Smakhtin. Groundwater and Sustainable Development Goals: Analysis of Interlinkages. United Nations University Institute for Water, Environment and Health, diciembre de 2018. http://dx.doi.org/10.53328/jrlh1810.
Texto completoA comparative analysis of anti-trafficking intervention approaches in Nepal. Population Council, 2000. http://dx.doi.org/10.31899/pgy2000.1000.
Texto completo