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1	Resilience, science, technology, engineering, and mathematics (STEM), and anger: A linguistic inquiry into the psychological processes associated with resilience in secondary school STEM learning. ...
	Hall, Sophie S; McGill, Ross Morrison; Puttick, Steven. - : Apollo - University of Cambridge Repository, 2022
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2	How bilingualism modulates selective attention in children ...
	Phelps, Jacqueline; Attaheri, Adam; Bozic, Mirjana. - : Apollo - University of Cambridge Repository, 2022
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3	Cambridge Psycholinguistic Inventory of Christian Beliefs: A registered report of construct validity, internal consistency and test-retest reliability. ...
	Clackson, Kaili; Pohran, Nadya; Galli, Riccardo M. - : Apollo - University of Cambridge Repository, 2022
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4	ЗНАЧЕНИЕ НАУЧНО-ПОПУЛЯРНОЙ СТАТЬИ ... : THE IMPORTANCE OF A POPULAR SCIENTIFIC ARTICLE ...
	Кузибаева, Р.Ш.. - : Oriental renaissance: Innovative, educational, natural and social sciences, 2022
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5	Lifelong bilingualism and mechanisms of neuroprotection in Alzheimer dementia. ...
	Sala, Arianna; Malpetti, Maura; Farsad, Mohsen. - : Apollo - University of Cambridge Repository, 2022
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6	Optionality in the Expression of Indefiniteness: A Pilot Study on Piacentine
	Luca Molinari
	In: Languages; Volume 7; Issue 2; Pages: 99 (2022)
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7	Approximate Entropy in Canonical and Non-Canonical Fiction
	Mohseni, Mahdi; Redies, Christoph; Gast, Volker. - : MDPI, 2022
	Abstract: : Computational textual aesthetics aims at studying observable differences between aesthetic categories of text. We use Approximate Entropy to measure the (un)predictability in two aesthetic text categories, i.e., canonical fiction (‘classics’) and non-canonical fiction (with lower prestige). Approximate Entropy is determined for series derived from sentence-length values and the distribution of part-of-speech-tags in windows of texts. For comparison, we also include a sample of non-fictional texts. Moreover, we use Shannon Entropy to estimate degrees of (un)predictability due to frequency distributions in the entire text. Our results show that the Approximate Entropy values can better differentiate canonical from non-canonical texts compared with Shannon Entropy, which is not true for the classification of fictional vs. expository prose. Canonical and non-canonical texts thus differ in sequential structure, while inter-genre differences are a matter of the overall distribution of local frequencies. We conclude that canonical fictional texts exhibit a higher degree of (sequential) unpredictability compared with non-canonical texts, corresponding to the popular assumption that they are more ‘demanding’ and ‘richer’. In using Approximate Entropy, we propose a new method for text classification in the context of computational textual aesthetics.
	Keyword: Approximate Entropy -- Shannon Entropy -- fictional texts -- canonical texts -- non-canonical texts -- POS-tags -- text classification; article; ddc:400
	URL: https://doi.org/10.3390/e24020278 https://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00055759/Mohseni2022Entropy.pdf https://www.db-thueringen.de/receive/dbt_mods_00051544
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8	This might be the PLACE. Spelling out a covert D in Fodom spatial PPs
	Mattiuzzi, Tommaso. - 2022
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9	Speech Entrainment Improves Connectivity Between Anterior and Posterior Cortical Speech Areas in Non-Fluent Aphasia
	Johnson, Lisa; Yourganov, Grigori; Basilakos, Alexandra...
	In: Neurorehabil Neural Repair (2022)
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10	Structural disconnection of the posterior medial frontal cortex reduces speech error monitoring
	McCall, Joshua D.; Vivian Dickens, J.; Mandal, Ayan S....
	In: Neuroimage Clin (2022)
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11	Human drone interaction in delivery of medical supplies: A scoping review of experimental studies
	Stephan, Franziska; Reinsperger, Nicole; Grünthal, Martin...
	In: PLoS One (2022)
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12	Neuroanatomical correlations of visuospatial processing in primary progressive aphasia
	Tee, Boon Lead; Watson Pereira, Christa; Lukic, Sladjana...
	In: Brain Commun (2022)
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13	Tractography of supplementary motor area projections in progressive speech apraxia and aphasia
	Valls Carbo, Adrian; Reid, Robert I.; Tosakulwong, Nirubol...
	In: Neuroimage Clin (2022)
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14	Factors determining the need for general anesthesia to deliver dental treatment for adults with intellectual and developmental disabilities
	Aloufi, Abdullah; Alatawi, Fawz; Hakeem, Faisal F....
	In: Saudi J Anaesth (2022)
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15	Secondary Stroke Risk Reduction in Black Adults: a Systematic Review
	Cao, Caroline; Jain, Nisha; Lu, Elaine...
	In: J Racial Ethn Health Disparities (2022)
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16	Regional Alteration within the Cerebellum and the Reorganization of the Cerebrocerebellar System following Poststroke Aphasia
	Zhang, Xiaotong; Chen, Zhaocong; Li, Na...
	In: Neural Plast (2022)
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17	Neural correlates of impaired vocal feedback control in post-stroke aphasia
	Behroozmand, Roozbeh; Bonilha, Leonardo; Rorden, Chris...
	In: Neuroimage (2022)
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18	Aphasia recovery by language training using a brain–computer interface: a proof-of-concept study
	Musso, Mariacristina; Hübner, David; Schwarzkopf, Sarah...
	In: Brain Commun (2022)
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19	Diminished preparatory physiological responses in frontotemporal lobar degeneration syndromes
	Chen, Kuan-Hua; Hua, Alice Y.; Toller, Gianina...
	In: Brain Commun (2022)
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20	The Recovery Mechanism of Standardized Aphasia in Intelligent Medical Treatment
	Zhou, Rong; Lv, Ying; Fu, Chuhan
	In: Contrast Media Mol Imaging (2022)
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