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1
Finding the best way to put media bias research into practice via an annotation app ...
Hornung, Tilman. - : Open Science Framework, 2022
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2
Multimodal Lip-Reading for Tracheostomy Patients in the Greek Language
In: Computers; Volume 11; Issue 3; Pages: 34 (2022)
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3
Towards Portuguese Sign Language Identification Using Deep Learning
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4
SonAmi: A Tangible Creativity Support Tool for Productive Procrastination
In: C&C ’21 - 13th ACM Conference on Creativity & Cognition ; https://hal.inria.fr/hal-03442565 ; C&C ’21 - 13th ACM Conference on Creativity & Cognition, Jun 2021, Virtual Event, Italy. pp.1-10, ⟨10.1145/3450741.3465250⟩ (2021)
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5
A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions
In: ISSN: 0048-9697 ; EISSN: 1879-1026 ; Science of the Total Environment ; https://hal.univ-lorraine.fr/hal-03544887 ; Science of the Total Environment, Elsevier, 2021, 788, pp.147868. ⟨10.1016/j.scitotenv.2021.147868⟩ (2021)
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6
Toucher le son d’avant d’écrire (Touching Sound, Learning Writing)
In: Actes ERGO'IA 2021 ; ERGO'IA 2021 ; https://hal.archives-ouvertes.fr/hal-03365473 ; ERGO'IA 2021, Oct 2021, Bidart, France (2021)
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7
Potential yield simulated by global gridded crop models: using a process-based emulator to explain their differences
In: ISSN: 1991-959X ; Geoscientific Model Development ; https://hal.archives-ouvertes.fr/hal-03188035 ; Geoscientific Model Development, European Geosciences Union, 2021, 14, pp.1639 - 1656. ⟨10.5194/gmd-14-1639-2021⟩ (2021)
Abstract: International audience ; How global gridded crop models (GGCMs) differ in their simulation of potential yield and reasons for those differences have never been assessed. The GGCM Intercomparison (GGCMI) offers a good framework for this assessment. Here, we built an emulator (called SMM for simple mechanistic model) of GGCMs based on generic and simplified formalism. The SMM equations describe crop phonology by a sum of growing degree days, canopy radiation absorption by the Beer-Lambert law, and its conversion into above ground biomass by a radiation use efficiency (RUE). We fitted the parameters of this emulator against gridded above ground maize biomass at the end of the growing season simulated by eight different GGCMs in a given year (2000). Our assumption is that the simple set of equations of SMM, after calibration, could reproduce the response of most GGCMs so that differences between GGCMs can be attributed to the parameters related to processes captured by the emulator. Despite huge differences between GGCMs, we show that if we fit both a parameter describing the thermal requirement for leaf emergence by adjusting its value to each grid-point in space, as done by GGCM modellers following the GGCMI protocol, and a GGCM-dependent globally uniform RUE, then the simple set of equations of the SMM emulator is sufficient to reproduce the spatial distribution of the original above ground biomass simulated by most GGCMs. The grain filling is simulated in SMM by considering a fixedin-time fraction of net primary productivity allocated to the grains (frac) once a threshold in leaves number (n(thresh)) is reached. Once calibrated, these two parameters allow for the capture of the relationship between potential yield and final above ground biomass of each GGCM. It is particularly important as the divergence among GGCMs is larger for yield than for above ground biomass. Thus, we showed that the divergence between GGCMs can be summarized by the differences in a few parameters. Our simple but mechanistic model could also be an interesting tool to test new developments in order to improve the simulation of potential yield at the global scale.
Keyword: [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces; [SDU.OCEAN]Sciences of the Universe [physics]/Ocean; Atmosphere; environment
URL: https://doi.org/10.5194/gmd-14-1639-2021
https://hal.archives-ouvertes.fr/hal-03188035
https://hal.archives-ouvertes.fr/hal-03188035/file/gmd-14-1639-2021.pdf
https://hal.archives-ouvertes.fr/hal-03188035/document
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8
Dictionaries Integrated into English Learning Apps: Critical Comments and Suggestions for Improvement
In: Lexikos; Vol. 31 (2021); 68-92 ; 2224-0039 (2021)
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9
Clitics are not enough: on agreement and null subjects in Brazilian Venetan
In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 86 ; 2397-1835 (2021)
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10
Minimax Feature Merge: The Featural Linguistic Turing Machine ...
Van Steene, Louis. - : Zenodo, 2021
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11
Minimax Feature Merge: The Featural Linguistic Turing Machine ...
Van Steene, Louis. - : Zenodo, 2021
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12
Enter the Matrix: What the new brain-computer interfaces teach us about agency, privacy, and human subjectivity
In: The iJournal: Graduate Student Journal of the Faculty of Information; Vol 6 No 2 (2021): Spring 2021 ; 2561-7397 (2021)
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13
Voice-user interfaces for TESOL: Potential and receptiveness among native and non-native English speaking instructors
Kent, David. - : University of Hawaii National Foreign Language Resource Center, 2021. : Center for Language & Technology, 2021. : (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin), 2021
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14
Evolution of human computer interaction
In: Sci. Visualization ; Scientific Visualization (2021)
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15
Natural Language Processing for Lexical Corpus Analysis
In: Doctoral Dissertations (2021)
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16
Audio-driven Character Animation
In: Doctoral Dissertations (2021)
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17
Zeitgeist: Modelando um projeto editorial com interface digital
In: Pandaemonium Germanicum: Revista de Estudos Germanísticos, Vol 24, Iss 42 (2021) (2021)
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18
Dictionaries Integrated into English Learning Apps: Critical Comments and Suggestions for Improvement
In: Lexikos, Vol 31, Pp 68-92 (2021) (2021)
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19
Explaining Rainfall Accumulations over Several Days in the French Alps Using Low-Dimensional Atmospheric Predictors Based on Analogy
In: ISSN: 1558-8424 ; EISSN: 1558-8432 ; Journal of Applied Meteorology and Climatology ; https://hal.archives-ouvertes.fr/hal-03087661 ; Journal of Applied Meteorology and Climatology, American Meteorological Society, 2020, 59 (2), pp.237-250. ⟨10.1175/JAMC-D-19-0112.1⟩ (2020)
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20
Voks: Digital instruments for chironomic control of voice samples
In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-03009712 ; Speech Communication, Elsevier : North-Holland, 2020, 125, pp.97 - 113. ⟨10.1016/j.specom.2020.10.002⟩ (2020)
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