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1Dissertation/ Thesis
المؤلفون: He, Qiaoling
المساهمون: University/Department: Universitat Rovira i Virgili. Departament d'Estudis Anglesos i Alemanys
Thesis Advisors: Oltra Massuet, Maria Isabel
المصدر: TDX (Tesis Doctorals en Xarxa)
مصطلحات موضوعية: coneixement implícit, aprenents d’ anglès com a llengua estrangera, preguntes en anglès, conocimiento implícito, aprendientes de inglés como lengua extranjera, preguntas en inglés, Implicit Knowledge, EFL learners, English questions, Arts i humanitats
وصف الملف: application/pdf
URL الوصول: http://hdl.handle.net/10803/688222
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2Academic Journal
المساهمون: Didáctica
المصدر: Psicoperspectivas - 2024, Vol. 23 n. 1 pp. 21-30
مصطلحات موضوعية: adultismo, conocimiento implícito, formación del profesorado, infancias, adultism, childhoods, implicit knowledge, teacher training
وصف الملف: application/pdf
Relation: http://hdl.handle.net/10498/33496
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3Conference
المؤلفون: Grübler, Gerd
Thesis Advisors: Networking Philosophy of Technologies e.V., SLUB TextLab
مصطلحات موضوعية: Disruption, Technikphilosophie, Ethik, Erkenntnistheorie, Wissenschaftstheorie, Erleben von Disruption, Implizites Wissen, Disrupción, Filosofía de la tecnología, Ética, Epistemología, Filosofía de la ciencia, experiencia de la disrupción, conocimiento implícito
Relation: urn:nbn:de:bsz:14-qucosa2-840814; qucosa:84081
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4Academic Journal
المؤلفون: Mauricio Vilca-Rodríguez, Guido Torres-Orihuela
المصدر: Boletín de la Academia Peruana de la Lengua, Vol 73, Iss 73 (2023)
مصطلحات موضوعية: Teorías implícitas, conocimiento implícito, teorías implícitas de lectura, rendimiento en lectura, ingresantes universitarios, Romanic languages, PC1-5498, Philology. Linguistics, P1-1091
وصف الملف: electronic resource
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5Academic Journal
المؤلفون: Olga V. Nedoluzhko, Evgeniya A. Nigay
المصدر: Propósitos y Representaciones, Vol 8, Iss 3, Pp e518-e518 (2020)
مصطلحات موضوعية: capital intellectual, método de series categóricas, elemento central, conocimiento explícito, conocimiento implícito, actividad cognitiva, punto de equilibrio inestable, elementos intermedios, elementos adicionales, Philosophy. Psychology. Religion, Psychology, BF1-990
وصف الملف: electronic resource
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6Academic Journal
المؤلفون: Nedoluzhko, Olga V., Nigay, Evgeniya A.
المصدر: Propósitos y Representaciones. Journal of Educational Psychology; Vol. 8 No. 3 (2020): Setiembre - Diciembre: Gestión educacional y competencias docentes; e518 ; Propósitos y Representaciones; ##issue.vol## 8 ##issue.no## 3 (2020): Setiembre - Diciembre: Gestión educacional y competencias docentes; e518 ; Propósitos y Representaciones; Vol. 8 Núm. 3 (2020): Setiembre - Diciembre: Gestión educacional y competencias docentes; e518 ; 2310-4635 ; 2307-7999 ; 10.20511/pyr2020.v8n3
مصطلحات موضوعية: Capital intellectual, Método de series categóricas, Elemento central, Conocimiento explícito, Conocimiento implícito, Actividad cognitiva, Punto de equilibrio inestable, Elementos intermedios, Elementos adicionales, Intellectual Capital, The Method of Categorical Series, The Central Element, Explicit Knowledge, Implicit Knowledge, Cognitive Activity of Students, The Point of Unstable Equilibrium, Middle Elements, Additional Elements
وصف الملف: application/pdf
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7Academic Journal
المصدر: Revista Peruana de Computación y Sistemas; Vol. 3 No. 2 (2020); 11-18 ; Revista peruana de computación y sistemas; Vol. 3 Núm. 2 (2020); 11-18 ; 2617-2003
مصطلحات موضوعية: Literature Based Discovery, hybrid photovoltaic systems, clustering, text mining, implicit knowledge, sistemas híbridos fotovoltaicos, agrupación, minería de texto, conocimiento implícito
وصف الملف: application/pdf
Relation: https://revistasinvestigacion.unmsm.edu.pe/index.php/rpcsis/article/view/19257/16108; https://revistasinvestigacion.unmsm.edu.pe/index.php/rpcsis/article/view/19257
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8Academic Journal
المؤلفون: Orrego, Roxana, Singer, Néstor, Úbeda, Ricardo, Yáñez, Sixto
المصدر: RLA. Revista de Lingüística Teórica y Aplicada; Vol. 57 Núm. 1 (2019); 51-78 ; 0718-4883 ; 0033-698X
مصطلحات موضوعية: Representaciones sociales, retroalimentación correctiva, adquisición en L2, conocimiento implícito y explícito, discurso oral en L2
وصف الملف: application/pdf
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9Academic Journal
المؤلفون: Dummett, M. (Michael)
مصطلحات موضوعية: Teoría del significado, comunicación, habilidad práctica, conocimiento implícito, Theory of meaning, communication, practical ability, implicit knowledge
وصف الملف: application/pdf
Relation: https://hdl.handle.net/10171/57727
الاتاحة: https://hdl.handle.net/10171/57727
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10Academic Journal
المساهمون: Universidad de Alicante. Departamento de Enfermería, Enfermería y Cultura de los Cuidados (EYCC)
مصطلحات موضوعية: Gestión del conocimiento, Conocimiento tácito, Conocimiento implícito, Intuición, Enfermería clínica, Knowledge management, Tacit knowledge, Implicit knowledge, Intuition, Clinical nursing, Enfermería
Relation: https://doi.org/10.1016/j.gaceta.2017.11.002; Gaceta Sanitaria. 2019, 33(2): 191-196. doi:10.1016/j.gaceta.2017.11.002; 1578-1283 (Internet); http://hdl.handle.net/10045/89587
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11Academic Journal
المؤلفون: Fabián Bernache Maldonado
المصدر: Logos: Revista de Lingüística, Literatura y Filosofía, Vol 28, Iss 2 (2018)
مصطلحات موضوعية: razones, intenciones, conocimiento implícito, metacognición, Philosophy (General), B1-5802
وصف الملف: electronic resource
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12
المؤلفون: Gerd Grübler
المساهمون: Networking Philosophy of Technologies e.V., SLUB TextLab
مصطلحات موضوعية: Disrupción, Filosofía de la tecnología, Ética, Epistemología, Filosofía de la ciencia, experiencia de la disrupción, conocimiento implícito, Disruption, Technikphilosophie, Ethik, Erkenntnistheorie, Wissenschaftstheorie, Erleben von Disruption, Implizites Wissen
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13Dissertation/ Thesis
المؤلفون: Díaz Chica, Luis Felipe
المساهمون: Garzón A, Wilmer, Benavides Navarro, Luis Daniel
مصطلحات موضوعية: Infraestructura como código, Conocimiento implícito, Transferencia de conocimiento, Patrones de arquitectura, Modelos de lenguaje, Infrastructure as code, Implicit knowledge, Knowledge transfer, Architecture patterns, Language models
وصف الملف: 101 páginas; application/pdf
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A general path-based repre- sentation for predicting program properties; Alzubaidi, L., Zhang, J., Humaidi, A.J., Al-Dujaili, A., Duan, Y., Al-Shamma, O., J., S., Fadhel, M.A., Al-Amidie, M., Farhan, L., 2021. Review of deep learning: Concepts, cnn architectures, challenges, applications, future directions - journal of big data.; he future of cloud development - Ampt — getampt.com. https://www. getampt.com/blog/introducing-ampt/.; Aviv, I., Gafni, R., Sherman, S., Aviv, B., Sterkin, A., Bega, E., 2023. Infrastructure from code: The next generation of cloud lifecycle automation. IEEE Software 40, 42–49.; Babar, M., Gorton, I., Jeffery, R., 2005. Capturing and using software architec- ture knowledge for architecture-based software development, in: Fifth Interna- tional Conference on Quality Software (QSIC’05), pp. 169–176.; Becker, M., Liang, S., Frank, A., 2021. Reconstructing implicit knowledge with language models, in: Workshop on Knowledge Extraction and Integration for Deep Learning Architectures; Deep Learning Inside Out.; Borovits, N., Kumara, I., Krishnan, P., Palma, S.D., Di Nucci, D., Palomba, F., Tamburri, D.A., van den Heuvel, W.J., 2020. Deepiac: Deep learning-based lin- guistic anti-pattern detection in iac, in: Proceedings of the 4th ACM SIGSOFT In- ternational Workshop on Machine-Learning Techniques for Software-Quality Eval- uation; Briem, J.A., Smit, J., Sellik, H., Rapoport, P., 2019. Using distributed representation of code for bug detection.; Brock, A., Lim, T., Ritchie, J.M., Weston, N., 2017. Freezeout: Accelerate training by progressively freezing layers; McCandlish, S., Radford, A., Sutskever, I., Amodei, D., 2020. Language models are few-shot learners.; Fine-tuning convolutional neu- ral networks for fine art classification. Expert Systems with Applications; Within-project defect prediction of infrastructure-as-code using product and process metrics. IEEE Transactions on Software Engineering 48, 2086–2104; Dalla Palma, S., Di Nucci, D., Tamburri, D.A., 2020. Ansiblemetrics: A python library for measuring infrastructure-as-code blueprints in ansible.; De Lauretis, L., 2019. From monolithic architecture to microservices architecture, in: 2019 IEEE International Symposium on Software Reliability Engineering Work- shops; Du, X., Cai, Y., Wang, S., Zhang, L., 2016. Overview of deep learning, in: 2016 31st Youth Academic Annual Conference of Chinese Association of Automation; Fadlullah, Z.M., Tang, F., Mao, B., Kato, N., Akashi, O., Inoue, T., Mizutani, K., 2017. State-of-the-art deep learning: Evolving machine intelligence toward tomorrow’s intelligent network traffic control systems; Fehling, C., Leymann, F., Retter, R., Schupeck, W., Arbitter, P., 2014. Cloud computing patterns. 2014 ed., Springer, Vienna, Austria.; Feitosa, D., Penca, M.T., Berardi, M., Boza, R.D., Andrikopoulos, V., 2023. Mining for cost awareness in the infrastructure as code artifacts of cloud-based applica- tions: an exploratory study.; Feng, Z., Guo, D., Tang, D., Duan, N., Feng, X., Gong, M., Shou, L., Qin, B., Liu, T., Jiang, D., Zhou, M., 2020. Codebert: A pre-trained model for programming and natural languages.; Galassi, A., Lippi, M., Torroni, P., 2021. Attention in natural language processing. IEEE Transactions on Neural Networks and Learning Systems; Gamma, E., Helm, R., Larman, C., Johnson, R., Vlissides, J., 2005. Valuepack: Design Patterns:Elements of Reusable Object-Oriented Software with Applying UML and Patterns:An Introduction to Object-Oriented Analysis and Design and References 83 Iterative Development. Addison Wesle; Georgousis, S., Kenning, M.P., Xie, X., 2021. Graph deep learning: State of the art and challenges. IEEE Access 9, 22106–22140; Goodfellow, I.J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y., 2014.; Gu, J., Wang, Z., Kuen, J., Ma, L., Shahroudy, A., Shuai, B., Liu, T., Wang, X., Wang, G., Cai, J., Chen, T., 2018.; Guerriero, M., Garriga, M., Tamburri, D.A., Palomba, F., 2019. Adoption, support, and challenges of infrastructure-as-code: Insights from industry, in: 2019 IEEE International Conference on Software Maintenance and Evolution (ICSME); Guo, D., Lu, S., Duan, N., Wang, Y., Zhou, M., Yin, J., 2022. Unixcoder: Unified cross-modal pre-training for code representation; Clement, C., Drain, D., Sundare- san, N., Yin, J., Jiang, D., Zhou, M., 2021. Graphcodebert: Pre-training code representations with data flow; Hao, W., Bie, R., Guo, J., Meng, X., Wang, S., 2018. Optimized cnn based image recognition through target region selection.; Hasan, M.M., Bhuiyan, F.A., Rahman, A., 2020. Testing practices for infrastructure as code, in: Proceedings of the 1st ACM SIGSOFT International Workshop on Languages and Tools for Next-Generation Testing, Association for Computing Machinery, New York, NY, USA. p. 7–12; Joshi, A.V., 2020. Amazon’s Machine Learning Toolkit: Sagemaker. Springer In- ternational Publishing, Cham. pp. 233–243. URL; Kagdi, H., Collard, M.L., Maletic, J.I., 2007. A survey and taxonomy of approaches for mining software repositories in the context of soft- ware evolution. Journal of Software Maintenance and Evolution: Re- search and Practice 19, 77–131.; Kaliyar, R.K., 2020. A multi-layer bidirectional transformer encoder for pre-trained word embedding: A survey of bert, in: 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence), pp. 336–340.; Karamanolakis, G., Mukherjee, S., Zheng, G., Awadallah, A.H., 2021. Self-training with weak supervision. CoRR abs/2104.05514; arras, T., Aila, T., Laine, S., Lehtinen, J., 2017. Progressive growing of gans for improved quality, stability, and variation. CoRR abs/1710.10196.; Keery, S., Harber, C., Young, M., 2019. Implementing Cloud Design Patterns for AWS: Solutions and design ideas for solving system design problems. Packt Pub- lishing, Limited; Kovalenko, V., Bogomolov, E., Bryksin, T., Bacchelli, A., 2019. Pathminer: A library for mining of path-based representations of code, in: 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR), pp. 13– 17; Land, L., Aurum, A., Handzic, M., 2001. Capturing implicit software engineering knowledge, in: Proceedings 2001 Australian Software Engineering Conference, pp. 108–114.; Linthicum, D.S., 2017. Cloud-native applications and cloud migration: The good, the bad, and the points between. IEEE Cloud Computing 4, 12–14; Liu, Y., Agarwal, S., Venkataraman, S., 2021. Autofreeze: Automatically freezing model blocks to accelerate fine-tuning; Maffort, C., Valente, M.T., Bigonha, M., Hora, A., Anquetil, N., Menezes, J., 2013. Mining Architectural Patterns Using Association Rules, in: International Con- ference on Software Engineering and Knowledge Engineering (SEKE’13), Boston, United States; Mistrik, I., Bahsoon, R., Ali, N., Heisel, M., Maxim, B., 2017. Software architecture for Big Data and the cloud.; Niu, C., Li, C., Ng, V., Ge, J., Huang, L., Luo, B., 2022. Spt-code: Sequence-to- sequence pre-training for learning source code representations, in: Proceedings of the 44th International Conference on Software Engineering, Association for Computing Machinery, New York, NY, USA. p. 2006–2018; Opdebeeck, R., Zerouali, A., Velázquez-Rodríguez, C., De Roover, C., 2021. On the practice of semantic versioning for ansible galaxy roles: An empiri- cal study and a change classification model. Journal of Systems and Software 182, 111059; Palangi, H., Deng, L., Shen, Y., Gao, J., He, X., Chen, J., Song, X., Ward, R., 2016. Deep sentence embedding using long short-term memory networks: Analysis and application to information retrieval. IEEE/ACM Transactions on Audio, Speech, and Language Processing 24, 694–707.; Perez., Q., Borgne., A.L., Urtado., C., Vauttier., S., 2021. Towards profiling runtime architecture code contributors in software projects, in: Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Soft- ware Engineering; Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I., 2019a. Language models are unsupervised multitask learners.; Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I., et al., 2019b. Language models are unsupervised multitask learners. OpenAI blog 1, 9.; Rahman, A., Mahdavi-Hezaveh, R., Williams, L., 2019. A systematic mapping study of infrastructure as code research. Information and Software Technology 108, 65–77; The RedMonk Programming Language Rankings: Jan- uary 2023 — redmonk.com; Rühling Cachay, S., Boecking, B., Dubrawski, A., 2021. End-to-end weak supervi- sion, in: Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P., Vaughan, J.W. (Eds.), Advances in Neural Information Processing Systems, Curran Associates, Inc. pp. 1845–1857; Salehinejad, H., Sankar, S., Barfett, J., Colak, E., Valaee, S., 2018. Recent advances in recurrent neural networks.; Savidis, A., Savvaki, K., 2021. Software architecture mining from source code with dependency graph clustering and visualization; Schmidt, F., MacDonell, S.G., Connor, A.M., 2014. An automatic architecture re- construction and refactoring framework, in: International Conference on Software Engineering Research and Applications.; Schuster, M., Paliwal, K., 1997. Bidirectional recurrent neural networks. IEEE Transactions on Signal Processing 45, 2673–2681.; Sehovac, L., Grolinger, K., 2020. Deep learning for load forecasting: Sequence to sequence recurrent neural networks with attention. IEEE Access 8, 36411–36426; Sharma, A., Kumar, M., Agarwal, S., 2015. A complete survey on software archi- tectural styles and patterns. Procedia Computer Science 70, 16–28; Sharma, S., Sharma, S., Athaiya, A., 2017. Activation functions in neural networks. Towards Data Sci 6, 310–316; Shin, C., Li, W., Vishwakarma, H., Roberts, N.C., Sala, F., 2021. Universalizing weak supervision. CoRR abs/2112.03865; Shrestha, A., Mahmood, A., 2019. Review of deep learning algorithms and archi- tectures. IEEE Access 7, 53040–53065.; Siow, J.K., Liu, S., Xie, X., Meng, G., Liu, Y., 2022. Learning program seman- tics with code representations: An empirical study, in: 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), pp.; Smite, D., Moe, N.B., Levinta, G., Floryan, M., 2019. Spotify guilds: How to succeed with knowledge sharing in large-scale agile organizations. IEEE Software 36, 51–57.; Sriram, A., Jun, H., Satheesh, S., Coates, A., 2017. Cold fusion: Training seq2seq models together with language models.; Sundararaman, D., Subramanian, V., Wang, G., Si, S., Shen, D., Wang, D., Carin, L., 2019. Syntax-infused transformer and bert models for machine translation and natural language understanding.; Taibi, D., El Ioini, N., Pahl, C., Niederkofler, J.R.S., 2020. Serverless cloud com- puting (function-as-a-service) patterns: A multivocal literature review, in: Pro- ceedings of the 10th International Conference on Cloud Computing and Services Science (CLOSER’20); Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., Polosukhin, I., 2017. Attention is all you need; Wan Mohd Isa, W.A.R., Suhaimi, A.I.H., Noordin, N., Harun, A., Ismail, J., Teh, R., 2019. Cloud computing adoption reference model. 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A novel neural source code representation based on abstract syntax tree, in: 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE), pp. 783–794; Zhang, X., Fan, J., Hei, M., 2022. Compressing bert for binary text classification via adaptive truncation before fine-tuning. Applied Sciences 12.; Zhuang, F., Qi, Z., Duan, K., Xi, D., Zhu, Y., Zhu, H., Xiong, H., He, Q., 2021. A comprehensive survey on transfer learning. Proceedings of the IEEE 109, 43–76.; https://repositorio.escuelaing.edu.co/handle/001/2623; https://catalogo.escuelaing.edu.co/cgi-bin/koha/opac-detail.pl?biblionumber=23583
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14Academic Journal
المؤلفون: Ruiz Pareja, Raquel
مصطلحات موضوعية: VDP::Humanities: 000::Linguistics: 010::Spanish language: 026, VDP::Humaniora: 000::Språkvitenskapelige fag: 010::Spansk språk: 026, Actitudes lingüísticas, conocimiento implícito, conocimiento explícito, sociolingüística, Linguistic attitudes, implicit knowledge, explicit knowledge, sociolinguistics
Relation: Normas. Revista de estudios lingüísticos hispánicos; Ruiz Pareja, R. (2018). Resultados vs. Realidad: un ejemplo en las actitudes lingüísticas. Normas. Revista de estudios lingüísticos hispánicos, 8 (1), 272-287. https://doi.org/10.7203/Normas.v8i1.13437; FRIDAID 1655004; https://hdl.handle.net/10037/16442
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15Academic Journal
المؤلفون: Bernache Maldonado, Fabián
المصدر: Logos: Journal of Linguistics, Philosophy and Literature; Vol. 28 No. 2 (2018); 308-324 ; Logos: Revista de Lingüística, Filosofía y Literatura; Vol. 28 Núm. 2 (2018); 308-324 ; 0719-3262 ; 0716-7520
مصطلحات موضوعية: reasons, intentions, implicit knowledge, metacognition, razones, intenciones, conocimiento implícito, metacognición
وصف الملف: application/pdf; text/html
Relation: https://revistas.userena.cl/index.php/logos/article/view/1043/1178; https://revistas.userena.cl/index.php/logos/article/view/1043/1197; https://revistas.userena.cl/index.php/logos/article/view/1043
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16Academic Journal
المؤلفون: Berges-Puyó, Jorge Gabriel
المصدر: Epos : Revista de filología; Núm. 33 (2017); 185-207 ; 2255-3495 ; 0213-201X ; 10.5944/epos.33.2017
مصطلحات موضوعية: implicit instruction, explicit instruction, implicit knowledge, explicit knowledge, SLA, conocimiento implícito, conocimiento explícito, instrucción implícita, instrucción explícita, adquisición de una segunda lengua
وصف الملف: application/pdf
Relation: https://revistas.uned.es/index.php/EPOS/article/view/18700/18344; https://revistas.uned.es/index.php/EPOS/article/view/18700
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17Academic Journal
المؤلفون: Ana Elsa Vargas Espinosa, Liliana León
المصدر: Ciencia y Poder Aéreo, Vol 11, Iss 1 (2016)
مصطلحات موضوعية: conocimiento empresarial, conocimiento explícito, conocimiento implícito, recursos y capacidades., Motor vehicles. Aeronautics. Astronautics, TL1-4050, Military Science
وصف الملف: electronic resource
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18
المساهمون: Panhofer, Heidrun
مصطلحات موضوعية: Danza Movimiento Terapia, Momentos de Encuentro, Conocimiento Implícito Relacional, Intersubjetividad Kinestésica, Experiencia subjetiva de terapeutas
وصف الملف: application/pdf
Relation: https://ddd.uab.cat/record/264895; urn:oai:ddd.uab.cat:264895
الاتاحة: https://ddd.uab.cat/record/264895
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19
مصطلحات موضوعية: Grammar, Orthographe, French, Teaching, Gramàtica, Implicit and explicit knowledge, Français, Conocimiento implícito y explícito, Francés, Francès, Grammaire, Connaissances implicites et explicites, Ortografía, Coneixement implícit i explícit, Enseignement, Ortografia, Gramática, Ensenyament, Orthography, Enseñanza
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20
المؤلفون: Marie Nadeau, Carole Fisher
المصدر: Recercat. Dipósit de la Recerca de Catalunya
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Bellaterra: journal of teaching and learning language and literature; Vol. 4, Núm. 4 (2011): Vol.: 4 Núm.: 4; p. 1-31
Bellaterra Journal of Teaching & Learning Language & Literature; Vol. 4, Núm. 4 (2011): Vol.: 4 Núm.: 4; p. 1-31
Recercat: Dipósit de la Recerca de Catalunya
Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Bellaterra Journal of Teaching & Learning Language & Literature, Vol 4, Iss 4 (2011)
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelonaمصطلحات موضوعية: Linguistics and Language, Literature and Literary Theory, Orthographe, French, Gramàtica, Language and Linguistics, Education, Conocimiento implícito y explícito, spelling, Francès, Grammaire, Ortografía, Coneixement implícit i explícit, Ortografia, Ensenyament, Orthography, Grammar, LC8-6691, Language and Literature, Philosophy, Teaching, Implicit and explicit knowledge, Special aspects of education, teaching, language.human_language, Spelling, Français, Francés, language, Connaissances implicites et explicites, grammar, Enseignement, Humanities, Gramática, Enseñanza
وصف الملف: application/pdf