Results 91 to 100 of about 712 (175)

Semantics Altering Modifications for Evaluating Comprehension in Machine Reading

open access: yes, 2020
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.
Schlegel, Viktor; id_orcid   +2 more
core   +2 more sources

Turning over new ideas in human skeletal muscle proteostasis: What do we know and where to from here?

open access: yesExperimental Physiology, EarlyView.
Abstract Understanding the turnover of proteins in tissues gives information as to how external stimuli result in phenotypic change. Nowhere is such phenotypic change more conspicuous than skeletal muscle, which can be effectively remodelled by increased loading, ageing and unloading (disuse), all of which are subject to modification by nutrition and ...
Changhyun Lim   +12 more
wiley   +1 more source

Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach

open access: yes, 2023
Named Entity Recognition (NER) aims to extract and classify entity mentions in the text into pre-defined types (e.g., organization or person name). Recently, many works have been proposed to shape the NER as a machine reading comprehension problem (also ...
Zhao, Wenting   +4 more
core  

Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?

open access: yes, 2021
An in-depth analysis of the level of language understanding required by existing Machine Reading Comprehension (MRC) benchmarks can provide insight into the reading capabilities of machines.
Schlegel, Viktor; id_orcid   +5 more
core   +1 more source

Experimental models of cerebral small vessel disease: Physiological constraints, translational challenges and future directions

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Overview of cerebral small vessel disease (cSVD) pathophysiology and current modelling challenges. Left: clinical burden and key unresolved research questions. Right: neurovascular unit (NVU) architecture highlighting sites of cSVD pathology across arterioles, capillaries and venules, including interactions between endothelial ...
Sophie Beaumont   +3 more
wiley   +1 more source

PEPITEM Regulates the Synovial Microenvironment During Immune‐Mediated Inflammatory Arthritis to Limit Disease

open access: yesArthritis &Rheumatology, Volume 78, Issue 7, Page 1446-1464, July 2026.
Objective Here we investigate the status of the adiponectin–PEPITEM pathway in early, treatment naive rheumatoid arthritis (RA) and psoriatic arthritis (PsA) and the therapeutic efficacy of PEPITEM administration in preclinical models. Methods Peripheral blood was isolated from patients with clinical suspect arthralgia and suspected inflammatory ...
Mussarat Wahid   +34 more
wiley   +1 more source

Population pharmacokinetic/pharmacodynamic modelling to evaluate favipiravir in combination with lopinavir–ritonavir in patients with COVID‐19

open access: yesBritish Journal of Clinical Pharmacology, Volume 92, Issue 7, Page 2390-2402, July 2026.
Aims The repurposed use of favipiravir in COVID‐19 has been reported to have limited clinical efficacy, yet it has been widely used in some countries. Favipiravir causes mutagenesis in RNA viruses, and it is currently unknown whether it may have a measurable effect on the virus in humans.
Akosua A. Agyeman   +9 more
wiley   +1 more source

Partial Least Squares Regression Models for Outdoor Air Pollutant Forecasting

open access: yesJournal of Chemometrics, Volume 40, Issue 7, July 2026.
ABSTRACT Atmospheric pollution presents a significant global health burden, yet the establishment and maintenance of extensive ‘gold standard’ monitoring networks remain prohibitively expensive. We explore the potential of machine learning to create virtual monitoring sites for predicting and reconstructing urban air pollutant concentrations, offering ...
Beatriz Galindo‐Prieto   +2 more
wiley   +1 more source

Document Re-Ranking Model for Machine-Reading and Comprehension

open access: yes, 2020
Recently, the performance of machine-reading and comprehension (MRC) systems has been significantly enhanced. However, MRC systems require high-performance text retrieval models because text passages containing answer phrases should be prepared in ...
Youngjin Jang, Harksoo Kim
core   +1 more source

Machine Reading Comprehension for the Tamil Language With Translated SQuAD

open access: yesIEEE Access
Machine Reading Comprehension (MRC) is a challenging task in Natural Language Processing (NLP), crucial for automated customer support, enabling chatbots and virtual assistants to accurately understand and respond to queries.
Anton Vijeevaraj Ann Sinthusha   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy