Results 51 to 60 of about 2,318,002 (277)

Explicit and Implicit Knowledge in Large-Scale Linguistic Data and Digital Footprints from Social Networks

Big Data and Cognitive Computing
This study explores explicit and implicit knowledge in large-scale linguistic data and digital footprints from social networks. This research aims to develop and test algorithms for analyzing both explicit and implicit information in user-generated ...
Maria Pilgun
doaj   +1 more source

Altered Dynamic Functional Network Connectivity in Post‐Stroke Aphasia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Previous studies examining post‐stroke aphasia (PSA) patients via resting‐state functional magnetic resonance imaging (rs‐fMRI) have predominantly focused on static functional connectivity. In contrast, the current investigation aims to elucidate the alterations in dynamic functional network connectivity (dFNC) among PSA patients ...
Guihua Xu, Yongsheng Wu, Junyu Qu, Rui Zhu, Wenwen Xu, Jiaxiang Xin, Dawei Wang   +6 more
wiley   +1 more source

The expanding universe of the study of sound change [PDF]

, 2016
The study of sound change has evolved from a heuristic tool for 19th century comparative historical reconstruction into the backbone of the rigid approach to language change developed by the Neogrammarians.
Hinskens, Frans
core  

Guidelines for normalising early modern English corpora:decisions and justifications [PDF]

, 2015
Corpora of Early Modern English have been collected and released for research for a number of years. With large scale digitisation activities gathering pace in the last decade, much more historical textual data is now available for research on numerous ...
Archer, Dawn, Baron, Alistair, Kytö, Merja, Rayson, Paul Edward   +3 more
core   +2 more sources

Lesion Location and Functional Connections Reveal Cognitive Impairment Networks in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini, Paolo Preziosa, Paola Valsasina, Damiano Mistri, Monica Margoni, Federica Esposito, Massimo Filippi, Maria A. Rocca   +7 more
wiley   +1 more source

Men use more complex language than women, but the difference has decreased over time: a study on 120 years of written Dutch

Linguistics, 2023
Differences in language use between men and women have been studied intensely. We take stock of the findings and venture into less charted territory. First, we broaden the scope from well-known lexical features to the domain of syntax.
Piersoul Jozefien, Van de Velde Freek
doaj   +1 more source

Few-Shot and Zero-Shot Learning for Historical Text Normalization [PDF]

, 2019
Historical text normalization often relies on small training datasets. Recent work has shown that multi-task learning can lead to significant improvements by exploiting synergies with related datasets, but there has been no systematic study of different ...
Bollmann, Marcel, Korchagina, Natalia, Søgaard, Anders   +2 more
core   +3 more sources

Longitudinal Relationship Between Pain and Depression in People With Inflammatory Arthritis: A Narrative Review

Arthritis Care &Research, EarlyView.
As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Comorbid depression is prevalent in adults with IA, affecting 15% to 39% of people. Although pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox, Saeed Farooq, Helen Twohig, Ian C. Scott   +3 more
wiley   +1 more source

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

Advanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi, Irem Deniz Derman, Deepak Gupta, Logan Haugh, Yogendra Pratap Singh, Vaibhav Pal, Yasar Ozer Yilmaz, Suihong Liu, Andre Luis Dias, Rogerio Andrade Flauzino, Ibrahim Tarik Ozbolat   +10 more
wiley   +1 more source

Review: Gender shifts in the history of English. Anne Curzan.Cambridge: Cambridge University Press, 2003.pp. 223 + xii. [PDF]

, 2007
Herbert Schendl (2001:9) defines ‘the study of ongoing changes in a language’ as one of the fundamental goals of historical linguistics. Curzan’s book, which examines the historical development of the English gender system, is a work noteworthy not ...
Kádár, Daniel Z.
core