Results 91 to 100 of about 27,036 (297)

Pain and Patient‐Reported Physical Function Did Not Differ Among Body Composition Profiles in Patients With Hip Osteoarthritis

open access: yesArthritis Care &Research, EarlyView.
Objective To explore whether higher body fat and lower lean mass are associated with greater pain and worse patient‐reported physical function in individuals with hip osteoarthritis (OA). A secondary aim was to examine whether pain and patient‐reported physical function differ according to four body composition profiles: high body fat, low lean mass ...
Alexandra Ryan   +10 more
wiley   +1 more source

Infant word segmentation and childhood vocabulary development: a longitudinal analysis: Infant word segmentation and vocabulary outcomes

open access: yes, 2012
Infants begin to segment novel words from speech by 7.5 months, demonstrating an ability to track, encode and retrieve words in the context of larger units.
Steven Reznick, J.   +2 more
core   +2 more sources

Word segmentation in children’s literacy: a study about word awareness

open access: yesSigno, 2016
The present research aimed to investigate how linguistic awareness regarding the concept of “word” may influence some mistakes on segmenting words in children’s writing in the Elementary School.
Débora Mattos Marques, Aline Lorandi
doaj   +1 more source

Bidirectional Gated Recurrent Unit Neural Network for Chinese Address Element Segmentation

open access: yesISPRS International Journal of Geo-Information, 2020
Chinese address element segmentation is a basic and key step in geocoding technology, and the segmentation results directly affect the accuracy and certainty of geocoding.
Pengpeng Li   +6 more
doaj   +1 more source

Engagement Patterns with an AI Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

open access: yesArthritis Care &Research, Accepted Article.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed‐methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah   +4 more
wiley   +1 more source

A Joint Learning Model of Word Segmentation, Lexical Acquisition, and Phonetic Variability

open access: yes, 2013
We present a cognitive model of early lexical acquisition which jointly performs word segmentation and learns an explicit model of phonetic variation. We define the model as a Bayesian noisy channel; we sample segmentations and word forms simultaneously ...
Elsner, Micha   +3 more
core  

Word Segmentation for Chinese Judicial Documents

open access: yes, 2019
Word segmentation is an integral step in many knowledge discovery applications. However, existing word segmentation methods have problems when applying to Chinese judicial documents: (1) existing methods rely on large-scale labeled data which is ...
Jidong Ge   +15 more
core   +1 more source

From Adult to Adolescent: Alignment in Clinical Trials and Outcomes in Axial Spondyloarthritis

open access: yesArthritis Care &Research, Accepted Article.
Spondyloarthritis (SpA) is a group of chronic inflammatory diseases encompassing axial and peripheral forms, with up to 20% of patients developing symptoms before age 16. Despite this substantial pediatric burden, treatment options for juvenile‐onset SpA (JSpA), particularly those with axial disease (axJSpA), remain limited.
Pamela F. Weiss   +9 more
wiley   +1 more source

An integrated approach for content extraction, word segmentation and information presentation from Thai websites

open access: yes, 2012
This thesis presents an integrated approach for the presentation of an overview of key content from Thai websites. This approach is intended to address the information overload issue by presenting an overview to users so that they could assess whether ...
Thanadechteemapat, Wigrai
core   +1 more source

SegFusion: A Lattice-Based Dynamic Ensemble Framework for Chinese Word Segmentation with Unsupervised Statistical Features

open access: yesApplied Sciences
Although existing Chinese word segmentation systems have achieved substantial progress on standard benchmarks, prediction disagreements among heterogeneous models remain prevalent when processing texts containing complex ambiguities and out-of-vocabulary
Chengfeng Wen, Jiqiu Deng
doaj   +1 more source

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