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Hits 61 – 80 of 14.287

61	Этноязыковое сознание в эволюции цветовых концептосфер ... : Ethno-Linguistic Consciousness in the Evolution of Coloristic Conceptual Spheres ...
	Сивова, Татьяна Викторовна. - : Уральский государственный педагогический университет, 2020
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62	Опыт осмысления образа России в лингводидактическом и лингвокогнитивном аспектах ... : Experience of Comprehension of the Image of Russia in Linguodidactic and Linguocognitive Aspects ...
	Соколова, Ольга Леонидовна; Гончарова, Надежда Анатольевна; Лапина, Валентина Юрьевна. - : Уральский государственный педагогический университет, 2020
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63	Aphasia in Alzheimer's Disease and Other Dementias (ADOD): Evidence From Chinese. ...
	Weekes, Brendan Stuart Hackett. - : Apollo - University of Cambridge Repository, 2020
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64	Drug Reviews: Cross-condition and Cross-source Analysis by Review Quantification Using Regional CNN-LSTM Models
	Thoomkuzhy, Ajith Mathew. - : Technological University Dublin, 2020
	In: Dissertations (2020)
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65	High Seroprevalence of Dengue Virus Infection in Sudan: Systematic Review and Meta-Analysis
	Adel Hussein Elduma; A. Desiree LaBeaud; Jessica A. Plante; Kenneth S. Plante; Ayman Ahmed
	In: Tropical Medicine and Infectious Disease; Volume 5; Issue 3; Pages: 120 (2020)
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66	An Approach to Effective Co- Referential Aspect and Entity Based Sentiment Classification of Tourist Reviews using Neural Networks and Machine Learning ...
	Dr Kamlesh A. Waghmare; Bhala, Sheetal K.. - : Zenodo, 2020
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67	An Approach to Effective Co- Referential Aspect and Entity Based Sentiment Classification of Tourist Reviews using Neural Networks and Machine Learning ...
	Dr Kamlesh A. Waghmare; Bhala, Sheetal K.. - : Zenodo, 2020
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68	Social determinants of health in electronic health records and their impact on analysis and risk prediction: A systematic review
	Chen, Min; Tan, Xuan; Padman, Rema
	In: J Am Med Inform Assoc (2020)
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69	Revista andina de educación. 3(2) (Reseña)
	: Quito, EC: Universidad Andina Simón Bolívar, Sede Ecuador, 2020
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70	ABA-CARINA, P. (Cham, 2019). Intersemiotic Translation Literary and Linguistic Multimodality
	Čemerin, Vedrana
	In: Transletters. International Journal of Translation and Interpreting 4, 383-386 (2020) (2020)
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71	RANZATO, I. and ZANOTTI, S. (Eds.) (New York, London, 2018). Linguistic and cultural representation in audiovisual translation
	Ping, Yuan
	In: Transletters. International Journal of Translation and Interpreting 4, 403-406 (2020) (2020)
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72	Aphasia in Alzheimer's Disease and Other Dementias (ADOD): Evidence From Chinese.
	Weekes, Brendan Stuart Hackett. - : SAGE Publications, 2020. : Am J Alzheimers Dis Other Demen, 2020
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73	Anxiety and intellectual functioning in autistic children: A systematic review and meta-analysis
	Mingins, Jessica E; Tarver, Joanne; Waite, Jane...
	In: Autism (2020)
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74	Mental Health and Cognition in Older Cannabis Users: a Review
	Vacaflor, Blanca E.; Beauchet, Olivier; Jarvis, G. Eric...
	In: Can Geriatr J (2020)
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75	Single-Cell Genomics and the Oral Microbiome
	Balachandran, M.; Cross, K.L.; Podar, M.
	In: J Dent Res (2020)
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76	The impact of COVID-19 on medical examinations
	Katmeh, Hannah; Karimaghaei, Donia; Hewage, Savini...
	In: Acta Biomed (2020)
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77	Factors associated with spoken language comprehension in children with cerebral palsy: a systematic review
	Vaillant, Emma; Geytenbeek, Johanna J M; Jansma, Elise P...
	In: Dev Med Child Neurol (2020)
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78	A systematic literature review of automatic Alzheimer’s disease detection from speech and language
	Petti, Ulla; Baker, Simon; Korhonen, Anna
	In: J Am Med Inform Assoc (2020)
	Abstract: OBJECTIVE: In recent years numerous studies have achieved promising results in Alzheimer’s Disease (AD) detection using automatic language processing. We systematically review these articles to understand the effectiveness of this approach, identify any issues and report the main findings that can guide further research. MATERIALS AND METHODS: We searched PubMed, Ovid, and Web of Science for articles published in English between 2013 and 2019. We performed a systematic literature review to answer 5 key questions: (1) What were the characteristics of participant groups? (2) What language data were collected? (3) What features of speech and language were the most informative? (4) What methods were used to classify between groups? (5) What classification performance was achieved? RESULTS AND DISCUSSION: We identified 33 eligible studies and 5 main findings: participants’ demographic variables (especially age ) were often unbalanced between AD and control group; spontaneous speech data were collected most often; informative language features were related to word retrieval and semantic, syntactic, and acoustic impairment; neural nets, support vector machines, and decision trees performed well in AD detection, and support vector machines and decision trees performed well in decline detection; and average classification accuracy was 89% in AD and 82% in mild cognitive impairment detection versus healthy control groups. CONCLUSION: The systematic literature review supported the argument that language and speech could successfully be used to detect dementia automatically. Future studies should aim for larger and more balanced datasets, combine data collection methods and the type of information analyzed, focus on the early stages of the disease, and report performance using standardized metrics.
	Keyword: Reviews
	URL: http://www.ncbi.nlm.nih.gov/pubmed/32929494 https://doi.org/10.1093/jamia/ocaa174 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671617/
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79	Deductive‐reasoning brain networks: A coordinate‐based meta‐analysis of the neural signatures in deductive reasoning
	Wang, Li; Zhang, Meng; Zou, Feng...
	In: Brain Behav (2020)
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80	Big behavior: challenges and opportunities in a new era of deep behavior profiling
	von Ziegler, Lukas; Sturman, Oliver; Bohacek, Johannes
	In: Neuropsychopharmacology (2020)
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