The Unfolding of Cognitive Effort During Sentence Processing: Pupillometric Evidence From People With and Without Aphasia. [PDF]
Chapman LR, Hallowell B.
europepmc +1 more source
A survey investigation of the imaging practices of human body donors in gross anatomy laboratories
Abstract The imaging of human body donors, as photographs and videos, is increasing in need as digital access of educational materials increases. In the past several years, several professional societies have published guidelines and recommendations for imaging human body donors for all who work with human body donors.
Danielle N. Edwards +4 more
wiley +1 more source
Semantic and syntactic specialization during auditory sentence processing in 7-8-year-old children. [PDF]
Wang J, Wagley N, Rice ML, Booth JR.
europepmc +1 more source
To what extent do GPT language models capture human sentence processing dynamics? Evidence from Korean subject honorification [PDF]
Gyu‐Ho Shin +2 more
openalex +1 more source
The graphic summarizes the proposed shift from image recognition to morphological reasoning through an iterative process of observation, description, interpretation, integration, and questioning across anatomical, histological, and ultrastructural scales.
Katia Cortese
wiley +1 more source
Processing of Second Language Collocations in Auditory Sentence Context
ESSA QURBI
openalex +1 more source
Abstract Neuroanatomy is notoriously challenging due to its complexity and abstract spatial relationships, often evoking anxiety and frustration among learners. Educational escape rooms, a form of game‐based learning (GBL), can promote engagement and learning but typically require significant faculty time and resources to design.
Robert M. Becker +2 more
wiley +1 more source
Learning or Boredom? Task Adaptation Effects in Sentence Processing Experiments. [PDF]
Chromý J, Tomaschek F.
europepmc +1 more source
Effects of age-related hearing loss and hearing aid experience on sentence processing. [PDF]
Vogelzang M +4 more
europepmc +1 more source
ChatGPT for complex text evaluation tasks
Abstract ChatGPT and other large language models (LLMs) have been successful at natural and computer language processing tasks with varying degrees of complexity. This brief communication summarizes the lessons learned from a series of investigations into its use for the complex text analysis task of research quality evaluation.
Mike Thelwall
wiley +1 more source

