Results 51 to 60 of about 569 (150)

Dialogue Logic Aware and Key Utterance Decoupling Model for Multi-Party Dialogue Reading Comprehension

open access: yesIEEE Access, 2023
Multi-party dialogue machine reading comprehension (MRC) brings an unprecedented challenge due to the multiple speakers and the complex discourse linkages among speaker-aware utterances.
Tianqing Yang   +3 more
doaj   +1 more source

Blood Cell‐Camouflaged Liquid Metal Nanoconjugates Orchestrate Treg Depletion and STING‐Amplified Photothermal Immunity for Metastatic Triple‐Negative Breast Cancer Therapy

open access: yesAdvanced Science, EarlyView.
Whole‐blood biomimetic engineering transforms liquid metal nanoparticles into a tripartite immunotherapeutic platform that orchestrates regulatory T‐cell depletion, photothermal‐induced immunogenic cell death, and activation of the stimulator of interferon genes pathway.
Nina Sang, Eijiro Miyako
wiley   +1 more source

Genetic variants of EcPV2 E6 and E7 in equine genital and oronasal squamous cell carcinoma

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Since its discovery in 2008, equine papillomavirus type 2 (EcPV2) has been detected in up to 100% of equine genital and up to 40% of equine oronasal squamous cell carcinomas (SCCs). Preliminary sequence data point to the existence of EcPV2 E6 and E7 oncogene variants compared to the British reference sequence from 2008.
Maya Jenner, Sabine Brandt
wiley   +1 more source

A Sentence-Based Circular Reasoning Model in Multi-Hop Reading Comprehension

open access: yesIEEE Access, 2020
Multi-hop Machine Reading Comprehension (MRC) requires models to mine and utilize relevant information from multiple documents to predict the answer to a semantics-related query.
Lijun Huo, Xiang Zhao
doaj   +1 more source

Towards Knowledge Enhanced Language Model for Machine Reading Comprehension

open access: yesIEEE Access, 2020
Machine reading comprehension is a crucial and challenging task in natural language processing (NLP). Recently, knowledge graph (KG) embedding has gained massive attention as it can effectively provide side information for downstream tasks. However, most
Peizhu Gong   +3 more
doaj   +1 more source

Protective Effects of Riociguat Against Contrast‐Induced Nephropathy: An Experimental and Machine Learning‐Based Study in Rats

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Contrast‐induced nephropathy (CIN) is an important cause of acute kidney injury following exposure to iodinated contrast media, and effective preventive strategies remain limited. This study investigated the renoprotective effects of riociguat, a soluble guanylate cyclase stimulator, in an experimental rat model of CIN and explored machine ...
Mustafa Begenc Tascanov   +10 more
wiley   +1 more source

Machine Reading Comprehension Based On Multi-headed attention Model

open access: yesMATEC Web of Conferences, 2018
Machine Reading Comprehension (MRC) refers to the task that aims to read the context through the machine and answer the question about the original text, which needs to be modeled in the interaction between the context and the question.
Xu Hui, Zhang Shichang, Jiang Jie
doaj   +1 more source

Placental Blood‐Flow Velocity Quantification From Diffusion MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Altered placental capillary blood flow is closely linked to obstetric complications, yet quantifying capillary‐scale blood velocity remains challenging with existing imaging methods. This is partially because capillary networks form disordered microvascular beds at the voxel scale, rather than coherent, directional vessels.
ZhuangJian Yang   +14 more
wiley   +1 more source

Homologous recombination mutants cause differing lethality between h− and h+ Schizosaccharomyces pombe strains due to mat1 heterochromatin

open access: yesThe FEBS Journal, EarlyView.
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

A multi-round MRC framework incorporating prompt learning for aspect sentiment triple extraction [PDF]

open access: yesPeerJ Computer Science
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

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