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Finding the best way to put media bias research into practice via an annotation app ...
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| 2 |
Multimodal Lip-Reading for Tracheostomy Patients in the Greek Language
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In: Computers; Volume 11; Issue 3; Pages: 34 (2022)
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Towards Portuguese Sign Language Identification Using Deep Learning
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SonAmi: A Tangible Creativity Support Tool for Productive Procrastination
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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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A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions
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Vilizzi, Lorenzo; Copp, Gordon; Hill, Jeffrey; Adamovich, Boris; Aislabie, Luke; Akin, Daniel; Al-Faisal, Abbas; Almeida, David; Azmai, M.N. Amal; Bakiu, Rigers; Bellati, Adriana; Bernier, Renée; Bies, Jason; Bilge, Gökçen; Branco, Paulo; Bui, Thuyet; Canning-Clode, João; Cardoso Ramos, Henrique Anatole; Castellanos-Galindo, Gustavo; Castro, Nuno; Chaichana, Ratcha; Chainho, Paula; Chan, Joleen; Cunico, Almir; Curd, Amelia; Dangchana, Punyanuch; Dashinov, Dimitriy; Davison, Phil; de Camargo, Mariele; Dodd, Jennifer; Durland Donahou, Allison; Edsman, Lennart; Ekmekçi, F. Güler; Elphinstone-Davis, Jessica; Erős, Tibor; Evangelista, Charlotte; Fenwick, Gemma; Ferincz, Árpád; Ferreira, Teresa; Feunteun, Eric; Filiz, Halit; Forneck, Sandra; Gajduchenko, Helen; Gama Monteiro, João; Gestoso, Ignacio; Giannetto, Daniela; Gilles, Allan; Gizzi, Francesca; Glamuzina, Branko; Glamuzina, Luka; Goldsmit, Jesica; Gollasch, Stephan; Goulletquer, Philippe; Grabowska, Joanna; Harmer, Rogan; Haubrock, Phillip; He, Dekui; Hean, Jeffrey; Herczeg, Gábor; Howland, Kimberly; İlhan, Ali; Interesova, Elena; Jakubčinová, Katarína; Jelmert, Anders; Johnsen, Stein; Kakareko, Tomasz; Kanongdate, Kamalaporn; Killi, Nurçin; Kim, Jeong-Eun; Kırankaya, Şerife Gülsün; Kňazovická, Dominika; Kopecký, Oldřich; Kostov, Vasil; Koutsikos, Nicholas; Kozic, Sebastian; Kuljanishvili, Tatia; Kumar, Biju; Kumar, Lohith; Kurita, Yoshihisa; Kurtul, Irmak; Lazzaro, Lorenzo; Lee, Laura; Lehtiniemi, Maiju; Leonardi, Giovanni; Leuven, Rob S.E.W.; Li, Shan; Lipinskaya, Tatsiana; Liu, Fei; Lloyd, Lance; Lorenzoni, Massimo; Luna, Sergio Alberto; Lyons, Timothy; Magellan, Kit; Malmstrøm, Martin; Marchini, Agnese; Marr, Sean; Masson, Gérard; Masson, Laurence; McKenzie, Cynthia; Memedemin, Daniyar; Mendoza, Roberto; Minchin, Dan; Miossec, Laurence; Moghaddas, Seyed Daryoush; Moshobane, Moleseng; Mumladze, Levan; Naddafi, Rahmat; Najafi-Majd, Elnaz; Năstase, Aurel; Năvodaru, Ion; Neal, J. Wesley; Nienhuis, Sarah; Nimtim, Matura; Nolan, Emma; Occhipinti-Ambrogi, Anna; Ojaveer, Henn; Olenin, Sergej; Olsson, Karin; Onikura, Norio; O'Shaughnessy, Kathryn; Paganelli, Daniele; Parretti, Paola; Patoka, Jiří; Pavia, Richard Thomas B.; Pellitteri-Rosa, Daniele; Pelletier-Rousseau, Michèle; Peralta, Elfritzson; Perdikaris, Costas; Pietraszewski, Dariusz; Piria, Marina; Pitois, Sophie; Pompei, Laura; Poulet, Nicolas; Preda, Cristina; Puntila-Dodd, Riikka; Qashqaei, Ali; Radočaj, Tena; Rahmani, Hossein; Raj, Smrithy; Reeves, David; Ristovska, Milica; Rizevsky, Viktor; Robertson, D. Ross; Robertson, Peter; Ruykys, Laura; Saba, Abdulwakil; Santos, José; Sarı, Hasan; Segurado, Pedro; Semenchenko, Vitaliy; Senanan, Wansuk; Simard, Nathalie; Simonović, Predrag; Skóra, Michał; Slovák Švolíková, Kristína; Smeti, Evangelia; Šmídová, Tereza; Špelić, Ivan; Srėbalienė, Greta; Stasolla, Gianluca; Stebbing, Paul; Števove, Barbora; Suresh, Vettath; Szajbert, Bettina; Ta, Kieu Anh T.; Tarkan, Ali Serhan; Tempesti, Jonathan; Therriault, Thomas; Tidbury, Hannah; Top-Karakuş, Nildeniz; Tricarico, Elena; Troca, Débora F.A.; Tsiamis, Konstantinos; Tuckett, Quenton; Tutman, Pero; Uyan, Umut; Uzunova, Eliza; Vardakas, Leonidas; Velle, Gaute; Verreycken, Hugo; Vintsek, Lizaveta; Wei, Hui; Weiperth, András; Weyl, Olaf L.F.; Winter, Emily; Włodarczyk, Radosław; Wood, Louisa; Yang, Ruibin; Yapıcı, Sercan; Yeo, Shayne S.B.; Yoğurtçuoğlu, Baran; Yunnie, Anna L.E.; Zhu, Yunjie; Zięba, Grzegorz; Žitňanová, Kristína; Clarke, Stacey
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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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Abstract:
International audience ; The threat posed by invasive non-native species worldwide requires a global approach to identify which introduced species are likely to pose an elevated risk of impact to native species and ecosystems. To inform policy, stakeholders and management decisions on global threats to aquatic ecosystems, 195 assessors representing 120 risk assessment areas across all six inhabited continents screened 819 non-native species from 15 groups of aquatic organisms (freshwater, brackish, marine plants and animals) using the Aquatic Species Invasiveness Screening Kit. This multi-lingual decision-support tool for the risk screening of aquatic organisms provides assessors with risk scores for a species under current and future climate change conditions that, following a statistically based calibration, permits the accurate classification of species into high-, medium-and low-risk categories under current and predicted climate conditions. The 1730 screenings undertaken encompassed wide geographical areas (regions, political entities, parts thereof, water bodies, river basins, lake drainage basins, and marine regions), which permitted thresholds to be identified for almost all aquatic organismal groups screened as well as for tropical, temperate and continental climate classes, and for tropical and temperate marine ecoregions. In total, 33 species were identified as posing a 'very high risk' of being or becoming invasive, and the scores of several of these species under current climate increased under future climate conditions, primarily due to their wide thermal tolerances. The risk thresholds determined for taxonomic groups and climate zones provide a basis against which area-specific or climate-based calibrated thresholds may be interpreted. In turn, the risk rankings help decision-makers identify which species require an immediate 'rapid' management action (e.g. eradication, control) to avoid or mitigate adverse impacts, which require a full risk assessment, and which are to be restricted or banned with regard to importation and/or sale as ornamental or aquarium/fishery enhancement.
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Keyword:
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces; AS-ISK; Climate change; Decision support tools; environment; Hazard identification; Non-native species; Risk analysis
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URL: https://hal.univ-lorraine.fr/hal-03544887/document
https://doi.org/10.1016/j.scitotenv.2021.147868
https://hal.univ-lorraine.fr/hal-03544887/file/1-s2.0-S0048969721029399-main.pdf
https://hal.univ-lorraine.fr/hal-03544887
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Toucher le son d’avant d’écrire (Touching Sound, Learning Writing)
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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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Potential yield simulated by global gridded crop models: using a process-based emulator to explain their differences
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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)
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| 8 |
Dictionaries Integrated into English Learning Apps: Critical Comments and Suggestions for Improvement
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In: Lexikos; Vol. 31 (2021); 68-92 ; 2224-0039 (2021)
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Clitics are not enough: on agreement and null subjects in Brazilian Venetan
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In: Glossa: a journal of general linguistics; Vol 6, No 1 (2021); 86 ; 2397-1835 (2021)
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Minimax Feature Merge: The Featural Linguistic Turing Machine ...
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Minimax Feature Merge: The Featural Linguistic Turing Machine ...
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Enter the Matrix: What the new brain-computer interfaces teach us about agency, privacy, and human subjectivity
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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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Voice-user interfaces for TESOL: Potential and receptiveness among native and non-native English speaking instructors
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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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Evolution of human computer interaction
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In: Sci. Visualization ; Scientific Visualization (2021)
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Natural Language Processing for Lexical Corpus Analysis
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In: Doctoral Dissertations (2021)
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Audio-driven Character Animation
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In: Doctoral Dissertations (2021)
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Zeitgeist: Modelando um projeto editorial com interface digital
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In: Pandaemonium Germanicum: Revista de Estudos Germanísticos, Vol 24, Iss 42 (2021) (2021)
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Dictionaries Integrated into English Learning Apps: Critical Comments and Suggestions for Improvement
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In: Lexikos, Vol 31, Pp 68-92 (2021) (2021)
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Explaining Rainfall Accumulations over Several Days in the French Alps Using Low-Dimensional Atmospheric Predictors Based on Analogy
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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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Voks: Digital instruments for chironomic control of voice samples
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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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