Results 71 to 80 of about 14,029 (259)
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni +4 more
wiley +1 more source
Objective Ambulatory care–sensitive conditions (ACSCs) serve as indicators of access, quality, and performance of the health system. This study aimed to determine rheumatoid arthritis (RA)‐specific ACSCs for use in the evaluation of care system access and quality.
Kara Irwin +7 more
wiley +1 more source
Hierarchical Gated Deep Memory Network With Position-Aware for Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis aims at identifying the sentiment polarity of specific aspect in the sentence. Previous work has realized the importance of the information interaction between aspect term and context.
Zebing Jia, Xiuxiu Bai, Shanmin Pang
doaj +1 more source
Datasets for Aspect-Based Sentiment Analysis in French
Aspect Based Sentiment Analysis (ABSA) is the task of mining and summarizing opinions from text about specific entities and their aspects. This article describes two datasets for the development and testing of ABSA systems for French which comprise user reviews annotated with relevant entities, aspects and polarity values.
Apidianaki, Marianna +2 more
openaire +3 more sources
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Transfer learning for aspect based sentiment analysis
Transfer learning has become a key approach for addressing the challenges of aspect-based sentiment analysis (ABSA). By leveraging pre-trained language models, it enables models to generalize more effectively across domains and languages in a wide range ...
SeyedHossein Fatemian +2 more
doaj +1 more source
A Novel Approach to Estimate the Transition Temperature via Dynamic Nanoindentation
A new dynamic nanoindentation‐based method was developed that uses the stiffness ratio as an indicator of the elastic–plastic deformation contributions at different temperatures. The approach successfully identified transition temperatures in ferritic steel and distinguished them from continuously ductile austenitic steel.
Stefan Zeiler +4 more
wiley +1 more source
This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley +1 more source
HS-ABSA: An Annotated Dataset for Aspect-Based Sentiment Analysis of Home Services Customer Reviews
With the progression of new technologies, the explosive growth of user-generated content on online platforms has significantly fuelled interest in Aspect-Based Sentiment Analysis (ABSA) for both academic research and commercial applications.
Afsheen Maroof +2 more
doaj +1 more source

