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Reanalysis of two-tone sequences as 'tone compounds' -in the Pingding dialect of Chinese ...
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XTREME-S: Evaluating Cross-lingual Speech Representations ...
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CVSS Corpus and Massively Multilingual Speech-to-Speech Translation ...
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mSLAM: Massively multilingual joint pre-training for speech and text ...
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The CLEAR Benchmark: Continual LEArning on Real-World Imagery ...
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Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting
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In: Brain Sciences; Volume 12; Issue 5; Pages: 559 (2022)
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Factors Influencing Medical Personnel to Work in Primary Health Care Institutions: An Extended Theory of Planned Behavior
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 5; Pages: 2785 (2022)
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Candidacy for Cochlear Implantation in Prelingual Profoundly Deaf Adult Patients
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In: Journal of Clinical Medicine; Volume 11; Issue 7; Pages: 1874 (2022)
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Detection of Chinese Deceptive Reviews Based on Pre-Trained Language Model
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In: Applied Sciences; Volume 12; Issue 7; Pages: 3338 (2022)
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Validation of the Visual Cognitive Assessment Test (VCAT) for the Early Diagnosis of Cognitive Impairment in Multilingual Population in Malaysia
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In: Psych; Volume 4; Issue 1; Pages: 38-48 (2022)
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Decoding the information structure underlying the neural representation of concepts
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In: Proc Natl Acad Sci U S A (2022)
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Abstract:
The nature of the representational code underlying conceptual knowledge remains a major unsolved problem in cognitive neuroscience. We assessed the extent to which different representational systems contribute to the instantiation of lexical concepts in high-level, heteromodal cortical areas previously associated with semantic cognition. We found that lexical semantic information can be reliably decoded from a wide range of heteromodal cortical areas in the frontal, parietal, and temporal cortex. In most of these areas, we found a striking advantage for experience-based representational structures (i.e., encoding information about sensory-motor, affective, and other features of phenomenal experience), with little evidence for independent taxonomic or distributional organization. These results were found independently for object and event concepts. Our findings indicate that concept representations in the heteromodal cortex are based, at least in part, on experiential information. They also reveal that, in most heteromodal areas, event concepts have more heterogeneous representations (i.e., they are more easily decodable) than object concepts and that other areas beyond the traditional “semantic hubs” contribute to semantic cognition, particularly the posterior cingulate gyrus and the precuneus.
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Keyword:
Social Sciences
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832989/ https://doi.org/10.1073/pnas.2108091119 http://www.ncbi.nlm.nih.gov/pubmed/35115397
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Analysis of factors affecting medical personnel seeking employment at primary health care institutions: developing human resources for primary health care
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In: Int J Equity Health (2022)
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Toward a flipped 5E model for teaching problem-solution writing in ESL courses: A two-year longitudinal experiment
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Lam, Yau Wai; Hew, Khe Foon; Jia, Chengyuan. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022. : (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin), 2022
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Candidacy for Cochlear Implantation in Prelingual Profoundly Deaf Adult Patients
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In: J Clin Med (2022)
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Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience
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In: BMC Med Imaging (2022)
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Translation and Cross-Cultural Adaptation of Post-Stroke Checklist into Mandarin: A Cognitive Interview Study
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In: Neuropsychiatr Dis Treat (2022)
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Dual Coding or Cognitive Load? Exploring the Effect of Multimodal Input on English as a Foreign Language Learners’ Vocabulary Learning
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In: Front Psychol (2022)
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Short-Text Classification Detector: A Bert-Based Mental Approach
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In: Comput Intell Neurosci (2022)
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Research Landscape of Artificial Intelligence and e-Learning: A Bibliometric Research
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In: Front Psychol (2022)
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Feasibility of an automated interview grounded in multiple mini interview (MMI) methodology for selection into the health professions: an international multimethod evaluation
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In: BMJ Open (2022)
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