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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7 8...74 Hits 61 – 80 of 1.464 61 Levi Graph AMR Parser using Heterogeneous Attention ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Choi, Jinho; He, Han. - : Underline Science Inc., 2021 BASE Show details 62 Structure-Augmented Keyphrase Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Choi, Seungtaek; Hwang, Seung-won. - : Underline Science Inc., 2021 BASE Show details 63 OutFlip: Generating Examples for Unknown Intent Detection with Natural Language Attack ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Choi, DongHyun; Kim, EungGyun. - : Underline Science Inc., 2021 BASE Show details 64 Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bonafilia, Derrick; Choi, Jonghyun. - : Underline Science Inc., 2021 BASE Show details 65 CLIPScore: A Reference-free Evaluation Metric for Image Captioning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Choi, Yejin; Forbes, Maxwell. - : Underline Science Inc., 2021 BASE Show details 66 SituatedQA: Incorporating Extra-Linguistic Contexts into QA ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Choi, Eunsol; Zhang, Michael. - : Underline Science Inc., 2021 BASE Show details 67 Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Choi, Yejin; D. Hwang, Jena. - : Underline Science Inc., 2021 BASE Show details 68 Revising the Scope of Linguistic Relativity: Language Influences Perception in Non-linguistic Tasks ... 43rd Annual Meeting of the Cognitive Science Society 2021; Ansorge, Ulrich; Baier, Diane. - : Underline Science Inc., 2021 BASE Show details 69 DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bhagavatula, Chandra; Choi, Yejin. - : Underline Science Inc., 2021 BASE Show details 70 RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Choi, DongHyun; Kim, EungGyun. - : Underline Science Inc., 2021 BASE Show details 71 Challenges in Automated Debiasing for Toxic Language Detection ... Zhou, Xuhui; Sap, Maarten; Swayamdipta, Swabha. - : arXiv, 2021 BASE Show details 72 Analyzing Zero-shot Cross-lingual Transfer in Supervised NLP Tasks ... Choi, Hyunjin; Kim, Judong; Joe, Seongho. - : arXiv, 2021 BASE Show details 73 Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction ... Lee, Gyubok; Yang, Seongjun; Choi, Edward. - : arXiv, 2021 BASE Show details 74 NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics ... Lu, Ximing; Welleck, Sean; West, Peter. - : arXiv, 2021 BASE Show details 75 Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference Bergmann, Christina; Nave, Karli M; Seidl, Amanda. - : SAGE Publications, 2021 BASE Show details 76 Outcome of cochlear implantation in the worse ear of post-lingual asymmetric hearing loss: elucidation of prognostic markers ... Sang-Youp Lee; Goun Choe; Sang-Yeon Lee. - : Taylor & Francis, 2021 BASE Show details 77 Outcome of cochlear implantation in the worse ear of post-lingual asymmetric hearing loss: elucidation of prognostic markers ... Sang-Youp Lee; Goun Choe; Sang-Yeon Lee. - : Taylor & Francis, 2021 BASE Show details 78 sensorimotor influences on speech perception ... Choi, Dawoon. - : Open Science Framework, 2021 BASE Show details 79 Improved Text Summarization of News Articles Using GA-HC and PSO-HC Muhammad Mohsin; Shazad Latif; Muhammad Haneef... In: Applied Sciences ; Volume 11 ; Issue 22 (2021) BASE Show details 80 The Effect of Mechanical Tongue Cleaning on Oral Malodor and Tongue Coating Ha-Na Choi; Young-Sik Cho; Jung-Wan Koo In: International Journal of Environmental Research and Public Health; Volume 19; Issue 1; Pages: 108 (2021) Abstract: Background: Mechanical tongue cleaning is an important oral hygiene procedure; it is known that a significant cause of volatile sulfur compounds (VSCs), a major component of bad breath, is due to the bacteria coating the tongue. This study was conducted to identify the effect of mechanical tongue cleaning on reducing bad breath and tongue coating. Methods: Various mechanical tongue-cleaning methods were studied, including removing tongue coating using a toothbrush, removing tongue coating using a tongue scraper, and removing tongue coating using a toothbrush and a tongue scraper together. The results were as follows. Results: First, the organic bad breath measurement value after cleaning the tongue significantly decreased in the group using only the toothbrush, the group using only the tongue scraper, and the group using both the toothbrush and the tongue scraper. However, there was no difference between the groups. Second, after cleaning the tongue, the measured values of the tongue coating in the values of WTCI (Winkel’s tongue coating index) and Qray view were significantly reduced in all three groups, and there was no difference between the groups. Third, the gas measurement value in the oral cavity using a machine significantly decreased only the H2S value of the group using the tongue scraper immediately after the mechanical tongue cleaning. Conclusions: From these results, it can be confirmed that mechanical tongue cleaning is effective at reducing bad breath and tongue coating. However, in this study, there was no difference in the reduction effect according to the tools (groups) used for mechanical tongue cleaning. It can therefore be seen that wiping accurately from the rear of the tongue to the front is more effective at reducing bad breath and tongue coating. Keyword: mechanical tongue cleaning; oral malodor; tongue coating; tongue scraper; toothbrush URL: https://doi.org/10.3390/ijerph19010108 BASE Hide details Page: 1 2 3 4 5 6 7 8...74

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