Results 61 to 70 of about 712 (175)
UQuAD1.0: Development of an Urdu Question Answering Training Data for Machine Reading Comprehension
, 2021 In recent years, low-resource Machine Reading Comprehension (MRC) has made significant progress, with models getting remarkable performance on various language datasets. However, none of these models have been customized for the Urdu language.
shakeel khoja (11642336) +1 more
core +1 more source
Advanced Science, EarlyView.This study presents a human Bone (and Bone Marrow)‐on‐a‐Chip model based on native human bone scaffolds and autologous cells. Dynamic perfusion and sequential cell seeding replicate the physiological bone remodeling process in vitro, enabling the long‐term culture of functional, mature bone marrow immune subpopulations.
Nina Stelzer +17 more
wiley +1 more source
Advanced Science, EarlyView.This study presents an injectable DNA‐based porous hydrogel integrating catechol motifs and targeting aptamers for pulpitis management. Upon in situ crosslinking, the scaffold actively recruits endogenous dental pulp stem cells, restores redox homeostasis, and modulates immune responses.
Luhui Cai +9 more
wiley +1 more source
Advanced Science, EarlyView.Eligibility flow and real‐world AMD burden in the UKB retinal imaging cohort and TMUEH external‐validation cohort. Overview of the ORBIT‐AMD architecture, integrating retinal representation pretraining, bilateral eye‐graph modeling and concept bottleneck learning to support ordered risk, bilateral context, interpretable lesion concepts, longitudinal ...
Xuehao Cui +3 more
wiley +1 more source
Examining the cognitive costs of counterfactual language comprehension: Evidence from ERPs [PDF]
, 2015 Recent empirical research suggests that understanding a counterfactual event (e.g. ‘If Josie had revised, she would have passed her exams’) activates mental representations of both the factual and counterfactual versions of events.
Ferguson, Heather J., Cane, James E.
core
IEEE 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
A Sentence-Based Circular Reasoning Model in Multi-Hop Reading Comprehension
IEEE 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
The 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
Muscle &Nerve, EarlyView.ABSTRACT Introduction/Aims Combined central and peripheral demyelination (CCPD) is a rare dysimmune disorder sharing features with multiple sclerosis (MS) and chronic inflammatory demyelinating polyradiculoneuropathy (CIDP). Direct comparisons of central and peripheral diagnostic findings across these entities remain limited. We, therefore, performed a
N. Dubuisson +6 more
wiley +1 more source
Towards Knowledge Enhanced Language Model for Machine Reading Comprehension
IEEE 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