Results 231 to 240 of about 1,001,459 (337)
Separating the forest from the palm trees: Individual variation in a presurgical language mapping task. [PDF]
Voets NL +3 more
europepmc +1 more source
Patient or Vehicle? Semantic roles in German and English descriptive verbs (revisited)
Mary Snell-Hornby
openalex +2 more sources
ABSTRACT This article presents the development of a five‐phase Indigenous Data Governance (IDGov) Framework in Australia, focusing on partnerships between the Aboriginal Community Controlled Health Organisation (ACCHO) sector and non‐Indigenous health entities.
Jacob Prehn +4 more
wiley +1 more source
Anchoring race: improving the construction of race dimensions in word embeddings. [PDF]
Ohamadike N, Durrheim K, Primus M.
europepmc +1 more source
ABSTRACT It is the priority of Aboriginal and Torres Strait Islander communities, and Australian governments, to provide infants with enriching environments in which they may thrive. This is particularly critical during the perinatal period. Yet, an increasing number of notifications and interventions by child protection authorities are occurring in ...
Neve Mucabel‐Bue +11 more
wiley +1 more source
Leveraging large language models and embedding representations for enhanced word similarity computation. [PDF]
Peng X, Jiang H, Chen J, Liu M, Chen X.
europepmc +1 more source
Anatomical Progression of Neuropathology in FTLD‐TDP Type C and Linkage to Annexin A11
Objective Frontotemporal lobar degenerations (FTLD)‐TDP type C (TDP‐C) is distinguished from other FTLD‐TDP subtypes by 3 unique features: (1) invariable onset in the anterior temporal lobe (ATL), (2) phosphorylated TDP‐43 (pTDP) neurites in cortex, and (3) colocalization of all pTDP deposits with annexin A11 (ANXA11).
Allegra Kawles +7 more
wiley +1 more source
Baseline Functional Connectivity Predicts Who Will Benefit From Neuromodulation: Evidence From Primary Progressive Aphasia. [PDF]
Wang Z +8 more
europepmc +1 more source
ABSTRACT To address the issues of neglecting the spatiotemporal correlations among process variables, low‐level features are vulnerable to noise interference, and the gradual loss of key information layer by layer during deep network training in traditional stacked autoencoder‐based soft‐sensor models, this paper proposes a hierarchical complementary ...
Xiaoping Guo, Jinghong Guo, Yuan Li
wiley +1 more source

