Results 71 to 80 of about 712 (175)
BODIPY Photocage‐Based Injectable Hydrogel for Light‐Controlled Nanoparticle Release
This work presents an injectable hydrogel formulation which undergoes efficient photodegradation under green light irradiation. The gel can be easily injected to subcutaneous tissue through 23G needles, co‐encapsulate and photo‐release nanoparticles as well as exhibits excellent biocompatibility, making it promising for the development of light ...
Baihao Shao +8 more
wiley +1 more source
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading
Advances in NLP have yielded impressive results for the task of machine reading comprehension (MRC), with approaches having been reported to achieve performance comparable to that of humans.
Batista-Navarro, Riza +2 more
core +1 more source
Homologous recombination (HR) in Schizosaccharomyces pombe is essential when mating‐type switching–induced double‐strand breaks (DSBs) form at the mat1 locus. In h90 and h− strains, efficient mat1 DSB formation renders HR indispensable unless suppressors block these breaks.
Peter Kolesar +3 more
wiley +1 more source
Caffeic acid is a central metabolite in the fungal bioluminescence pathway. We identified and characterized caffeylpyruvate hydrolase from Neonothopanus gardneri (ngarCPH) and demonstrate its ability to hydrolyze fungal oxyluciferin into caffeic and pyruvic acids, confirming a complete and self‐sustained fungal bioluminescence cycle.
Caio K. Zamuner +8 more
wiley +1 more source
TEXT COMPLEXITY AND TEXT SIMPLIFICATION [PDF]
A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of PhilosophyDue to the fact that emergency situations can lead to substantial losses, both financial and in terms of human lives, it
Temnikova, Irina
core
Multilingual pre-trained models are able to zero-shot transfer knowledge from rich-resource to low-resource languages in machine reading comprehension (MRC).
Zhuang, Zhiqiang +6 more
core +1 more source
A multi-round MRC framework incorporating prompt learning for aspect sentiment triple extraction [PDF]
Aspect-based sentiment triplet extraction (ASTE) task is a burgeoning subtask of aspect-based sentiment analysis (ABSA), which involves extracting aspect terms, opinion expressions, and related sentiment polarities from texts.
Zhang Yuyao +3 more
doaj +2 more sources
ABSTRACT Translating local research into English as a lingua franca (ELF) connects local scholarship with global readership, but this process remains constrained by language barriers. Large language models (LLMs) offer advanced accessible solutions, but their responsible integration into academic translation requires a deeper understanding of the ...
Yueyue Huang, Yao Yao, Dechao Li
wiley +1 more source
ABSTRACT Background Hemophilia A, an X‐linked bleeding disorder caused by pathogenic variants in the F8 gene, requires precise genetic diagnosis for optimal management. Conventional stepwise sequence and copy number variation (CNV) analyses are time‐consuming and may leave some cases unresolved.
Enise Avci Durmusalioglu +13 more
wiley +1 more source
Emotion-Cause Pair Extraction Based on Machine Reading Comprehension Model
[[abstract]]In this paper, we propose a BERT-based framework for Emotion-Cause Pair Extraction (ECPE) task. Given a passage, the ECPE task aims to jointly extract (1) emotion-related clauses and (2) cause clauses (the clause caused the emotion).
Chang, T.W.;Chang, T.W.;Fan, Y.C.;Fan, Y.C.;陳良弼;Chen, Arbee L.P.
core +1 more source

