Results 41 to 50 of about 304,629 (283)
A simulative evaluation of triply periodic minimal surface (TPMS) structures for an elastocaloric application under compressive load is performed. For the evaluation of the structure's performance, surface/volume ratio, generated heat and invested mechanical work are taken into account and are compared to a tube as a reference specimen.
Michael Fries+3 more
wiley +1 more source
Challenges and solutions for Latin named entity recognition [PDF]
Although spanning thousands of years and genres as diverse as liturgy, historiography, lyric and other forms of prose and poetry, the body of Latin texts is still relatively sparse compared to English.
Ajaka, Petra+6 more
core
Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping
The state-of-the-art named entity recognition (NER) systems are statistical machine learning models that have strong generalization capability (i.e., can recognize unseen entities that do not appear in training data) based on lexical and contextual ...
Florian, Radu, Ni, Jian
core +1 more source
Taxonomy Expansion for Named Entity Recognition
Training a Named Entity Recognition (NER) model often involves fixing a taxonomy of entity types. However, requirements evolve and we might need the NER model to recognize additional entity types. A simple approach is to re-annotate entire dataset with both existing and additional entity types and then train the model on the re-annotated dataset ...
K, Karthikeyan+9 more
openaire +2 more sources
A highly stable, low‐temperature phosphate glass is developed for multimaterial additive manufacturing of multifunctional microfluidics. Glass, metal conductors, and sacrificial polymer are coprinted, enabling monolithic fabrication. The sacrificial paste forms precise channels and decomposes during sintering.
Babak Mazinani+2 more
wiley +1 more source
Simultaneous utilization of calix[4]pyrrole‐ and crown ether‐based molecular recognition allows the construction of a high molecular weight alternating supramolecular polymer. This heat processible polymer can be used as a durable and reusable adhesive on glass and steel with temperature‐enhanced adhesion strength without the need for a solvent ...
Deniz Memis, Abdullah Aydogan
wiley +1 more source
Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen+4 more
wiley +1 more source
Many known diseases arise from dysregulated gene expression, and differentially expressed genes can serve as biomarkers to distinguish diseased cells from healthy tissues. In this study, reconfigurable nucleic acid nanoparticles (recNANPs) are introduced that can detect overexpressed cancer biomarkers and subsequently release RNAi inducers to silence ...
Yelixza I. Avila+7 more
wiley +1 more source
Mining web data for competency management [PDF]
We present CORDER (COmmunity Relation Discovery by named Entity Recognition) an un-supervised machine learning algorithm that exploits named entity recognition and co-occurrence data to associate individuals in an organization with their expertise and ...
Goncalves, A.L.+4 more
core +1 more source
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu+5 more
wiley +1 more source