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TEACHING CHINESE LEARNERS THROUGH THE COMMUNICATIVE METHOD ...
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ETLT 2021: Shared task on automatic speech recognition for non-native children’s speech ...
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ETLT 2021: Shared task on automatic speech recognition for non-native children’s speech
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Gretter, R; Matassoni, M; Falavigna, D. - : ISCA, 2021. : https://www.isca-speech.org/, 2021. : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2021
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An ecological approach to family language policy research: the case of Miao families in China
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Non-native children's automatic speech recognition: The INTERSPEECH 2020 shared task ALTA systems ...
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On the general value of evidence, and bilingual scene-text visual question answering
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In: https://ieeexplore.ieee.org/xpl/conhome/9142308/proceeding (2020)
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Non-native children's automatic speech recognition: The INTERSPEECH 2020 shared task ALTA systems
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Knill, Katherine; Wang, L; Wang, Y. - : ISCA, 2020. : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2020
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Study of central exclusive [Image: see text] production in proton-proton collisions at [Formula: see text] and 13TeV
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In: Eur Phys J C Part Fields (2020)
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Deep learning assisted time-frequency processing for speech enhancement on drones
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Тематическая группа «Обувь» в лексикографическом и лексико-семантическом аспекте ; Thematic Group “Shoes” in the Lexicographic and Lexical-Semantic Aspect
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Developing an eLearning resource for Chinese-English healthcare interpreters
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Dynamic Acoustic Evidence of Nasalization as a Compensatory Mechanism for Voicing in Spanish Apraxic Speech
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In: Studies on Speech Production. 11th International Seminar, ISSP 2017, Tianjin, China, October 16-19, 2017, Revised Selected Papers ; https://hal.archives-ouvertes.fr/hal-01979546 ; Fang Q.; Dang J.; Perrier P.; Wei J.; Wang L; Yan N. Studies on Speech Production. 11th International Seminar, ISSP 2017, Tianjin, China, October 16-19, 2017, Revised Selected Papers, 10733, Springer International Publishing, pp.225-236, 2018, Lecture Notes in Artificial Intelligence, 978-3-030-00125-4. ⟨10.1007/978-3-030-00126-1_20⟩ ; https://www.springer.com/us/book/9783030001254 (2018)
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Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0
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Heirendt, L; Arreckx, S; Pfau, T; Mendoza, SN; Richelle, A; Heinken, A; Haraldsdóttir, HS; Wachowiak, J; Keating, SM; Vlasov, V; Magnusdóttir, S; Ng, CY; Preciat, G; Žagare, A; Chan, SHJ; Aurich, MK; Clancy, CM; Modamio, J; Sauls, JT; Noronha, A; Bordbar, A; Cousins, B; Assal, DCE; Valcarcel, LV; Apaolaza, I; Ghaderi, S; Ahookhosh, M; Guebila, MB; Kostromins, A; Sompairac, N; Le, HM; Ma, D; Sun, Y; Wang, L; Yurkovich, JT; Oliveira, MAP; Vuong, PT; Assal, LPE; Kuperstein, I; Zinovyev, A; Hinton, HS; Bryant, WA; Artacho, FJA; Planes, FJ; Stalidzans, E; Maass, A; Vempala, S; Hucka, M; Saunders, MA; Maranas, CD; Lewis, NE; Sauter, T; Palsson, BØ; Thiele, I; Fleming, RMT
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In: Heirendt, L; Arreckx, S; Pfau, T; Mendoza, SN; Richelle, A; Heinken, A; et al.(2018). Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/4nd5m34r (2018)
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Abstract:
COnstraint-Based Reconstruction and Analysis (COBRA) provides a molecular mechanistic framework for integrative analysis of experimental data and quantitative prediction of physicochemically and biochemically feasible phenotypic states. The COBRA Toolbox is a comprehensive software suite of interoperable COBRA methods. It has found widespread applications in biology, biomedicine, and biotechnology because its functions can be flexibly combined to implement tailored COBRA protocols for any biochemical network. Version 3.0 includes new methods for quality controlled reconstruction, modelling, topological analysis, strain and experimental design, network visualisation as well as network integration of chemoinformatic, metabolomic, transcriptomic, proteomic, and thermochemical data. New multi-lingual code integration also enables an expansion in COBRA application scope via high-precision, high-performance, and nonlinear numerical optimisation solvers for multi-scale, multi-cellular and reaction kinetic modelling, respectively. This protocol can be adapted for the generation and analysis of a constraint-based model in a wide variety of molecular systems biology scenarios. This protocol is an update to the COBRA Toolbox 1.0 and 2.0. The COBRA Toolbox 3.0 provides an unparalleled depth of constraint-based reconstruction and analysis methods.
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Keyword:
q-bio.QM
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URL: http://www.escholarship.org/uc/item/4nd5m34r
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