A large body of research has examined the factors that affect the speed with which words are recognized in lexical decision tasks. Nothing has yet been reported concerning the important factors in differentiating acronyms (e.g., BBC, HIV, NASA) from nonwords. It appears that this task poses little problem for skilled readers, in spite of the fact that acronyms have uncommon, even illegal, spellings in English. We used regression techniques to examine the role of a number of lexical and nonlexical variables known to be important in word processing in relation to lexical decision for acronym targets. Findings indicated that acronym recognition is affected by age of acquisition and imageability. In a departure from findings in word recognition, acronym recognition was not affected by frequency. Lexical decision responses for acronyms were also affected by the relationship between spelling and sound-a pattern not usually observed in word recognition. We argue that the complexity of acronym recognition means that the process draws phonological information in addition to semantics.
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http://dx.doi.org/10.1080/17470218.2014.977304 | DOI Listing |
Environ Manage
December 2024
Universidad de Ciencias Aplicadas y Ambientales, Calle 222 No. 55-37, Bogotá, Colombia.
This study evaluates the sociocultural valuation of ecosystem services (ES) within the Chimulala micro-watershed, Peru, to inform Integrated Water Resource Management (IWRM). Using surveys and focus groups, we gathered data from 35 stakeholders (11 institutional and 24 local actors) to assess perceptions, orientations, and anticipated changes regarding 15 identified ES. A land cover map was developed to support an expert-led ES assessment, categorizing capacity levels across different land types.
View Article and Find Full Text PDFJ Cancer Educ
October 2024
Department of Family and Community Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Early recognition of skin cancer reduces associated morbidity and improves survival. Most patients with suspicious skin lesions present to family medicine physicians. We aimed to evaluate the self-reported competency of family medicine residents in performing skin cancer examination (SCE) and assess the impact of different factors on their competency.
View Article and Find Full Text PDFJMIR Med Inform
October 2024
ISTAR, Instituto Universitário de Lisboa (ISCTE-IUL), Lisbon, Portugal.
Background: In response to the intricate language, specialized terminology outside everyday life, and the frequent presence of abbreviations and acronyms inherent in health care text data, domain adaptation techniques have emerged as crucial to transformer-based models. This refinement in the knowledge of the language models (LMs) allows for a better understanding of the medical textual data, which results in an improvement in medical downstream tasks, such as information extraction (IE). We have identified a gap in the literature regarding health care LMs.
View Article and Find Full Text PDFComput Biol Med
November 2024
Department of Logistics, Molde University College, Molde, 6410, Norway; ISTAR, Instituto Universitário de Lisboa (ISCTE-IUL), 1649-026, Lisbon, Portugal; Inov Inesc Inovação - Instituto de Novas Tecnologias, 1000-029, Lisbon, Portugal. Electronic address:
Background: Patient medical information often exists in unstructured text containing abbreviations and acronyms deemed essential to conserve time and space but posing challenges for automated interpretation. Leveraging the efficacy of Transformers in natural language processing, our objective was to use the knowledge acquired by a language model and continue its pre-training to develop an European Portuguese (PT-PT) healthcare-domain language model.
Methods: After carrying out a filtering process, Albertina PT-PT 900M was selected as our base language model, and we continued its pre-training using more than 2.
Medicina (Kaunas)
June 2024
Department of Preclinical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410081 Oradea, Romania.
: Wolfram syndrome type 1 (OMIM# 222300; ORPHAcode 3463) is an extremely rare autosomal recessive syndrome with a 25% recurrence risk in children. It is characterized by the presence of juvenile-onset diabetes mellitus (DM), progressive optic atrophy (OA), diabetes insipidus (DI), and sensorineural deafness (D), often referred to by the acronym DIDMOAD. It is a severe neurodegenerative disease with a life expectancy of 39 years, with death occurring due to cerebral atrophy.
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