Results 71 to 80 of about 105,086 (297)
Objectives This study aimed to describe real‐world trends in preconception and prenatal use of antirheumatic drugs among pregnant individuals with rheumatic diseases in Ontario, Canada. Methods We conducted a time‐series analysis using repeated cross‐sectional data to examine annual patterns of disease‐modifying antirheumatic drug (DMARD) use among ...
Shenthuraan Tharmarajah +6 more
wiley +1 more source
A fuzzy concept-cognitive learning method integrating fuzzy coverage
Concept-cognitive learning is an emerging interdisciplinary research area that aims to continuously learn new knowledge by imitating the human cognitive process.
WU Yuqing;LIN Yidong;LIANG Taoju
doaj +1 more source
Training dictionary by granular computing with L∞-norm for patch granule–based image denoising
Considering the objects by different granularity reflects the recognition common law of people, granular computing embodies the transformation between different granularity spaces.
Hongbing Liu +3 more
doaj +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
The tribological behavior of 100Cr6 steel spheres textured via Vickers microindentation is evaluated under lubricated sliding by varying both dimple size and density. Fine and dense textures significantly reduce friction across all lubrication regimes, while large dimples increase it.
Farideh Davoodi +3 more
wiley +1 more source
Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials
Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai +2 more
wiley +1 more source
Granular Computing Based Ontology Learning Model and Its Applications
The cores of granular computing are the granule, the granule layer and the granule structure. In this paper the concepts “Ontology granule” and “Compatible granule” were defined, applying the granular computing ideas and an ontology model, an Ontology ...
Yan Hongcan, Zhang Feng, Liu Baoxiang
doaj +1 more source
Random Fuzzy Clustering Granular Hyperplane Classifier
Granular computing is a method of studying human intelligent information processing, which has advantage of knowledge discovery. In this paper, we convert a classification problem of sample space into a classification problem of fuzzy clustering granular
Wei Li +5 more
doaj +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Granular synthesis for display of time-varying probability densities [PDF]
We present a method for displaying time-varying probabilistic information to users using an asynchronous granular synthesis technique. We extend the basic synthesis technique to include distribution over waveform source, spatial position, pitch and time ...
Murray-Smith, R., Williamson, J.
core +1 more source

