Results 171 to 180 of about 27,995 (314)
Relationship extraction between entities with long distance dependencies and noise based on semantic and syntactic features. [PDF]
Wang L, Wu F, Liu X, Cao J, Ma M, Qu Z.
europepmc +1 more source
Visualization of the pipeline is divided into two primary segments: automated (i.e., the user adapts the code directly to build a custom computer vision model) and human‐in‐the‐loop (i.e., the user manually evaluates the output of the model). In step 1, raw imagery data are selected for training and testing datasets; ideally, these datasets are ...
Lindsay Veazey +3 more
wiley +1 more source
Exploiting large language models for diagnosing autism associated language disorders and identifying distinct features. [PDF]
Hu C +7 more
europepmc +1 more source
The Epistemic Generativity of Using a Model of a Big Idea
ABSTRACT Science instruction should involve learners in generating and warranting ideas, what we call epistemic generation. In modeling instruction, epistemic generation should be achieved by coordinating a model structure with the experienced world in reciprocal directions denoted as developing models and using models. In the former, a model structure
Jonathan T. Shemwell, Daniel K. Capps
wiley +1 more source
Storing Mass-Spectrometry Data in Simple Databases Enables Flexible and Intuitive Exploration without Time or Space Penalties. [PDF]
Kumler W, LaRue S, Ingalls AE.
europepmc +1 more source
ABSTRACT Preservice elementary science teachers' beliefs and practices influence the kinds of adaptations they make to curriculum materials and the extent to which they are able to enact justice‐oriented science lessons. Through this qualitative study, we explored the beliefs and practices of five focal preservice teachers through an analysis of their ...
Jessica Bautista, Elizabeth A. Davis
wiley +1 more source
Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism. [PDF]
Liu Y, Zhang S.
europepmc +1 more source
Uncovering Semantic Patterns in Sustainability Research: A Systematic NLP Review
ABSTRACT This study maps how Natural Language Processing (NLP) contributes to sustainability. Using a PRISMA‐guided review of 131 English‐language articles from Web of Science (2018–2025), we combine bibliometric co‐word mapping with BERTopic to derive complementary structural and semantic views. Four themes emerge: Topic 0—Climate Change Discourse and
Ehsan Tashakori +3 more
wiley +1 more source
Frugal Self-Optimization Mechanisms for Edge-Cloud Continuum. [PDF]
Wrona Z +4 more
europepmc +1 more source
ABSTRACT The transition to affordable and clean energy sources is essential for creating a sustainable future. Green hydrogen, as an emerging energy carrier, has the potential to meet increasing energy demands while mitigating environmental impact and achieving SDG 7.
A. Telukdarie, K. Murulane, X. Maphisa
wiley +1 more source

