Results 41 to 50 of about 93,971 (246)
R-Trans: RNN Transformer Network for Chinese Machine Reading Comprehension
Machine reading comprehension (MRC) has gained increasingly wide attention over the past few years. A variety of benchmark datasets have been released, which triggers the development of quite a few MRC approaches based on deep learning techniques ...
Shanshan Liu +3 more
doaj +1 more source
P219 Evaluation of individual activity descriptors of the mrc dyspnoea scale: do they add up? [PDF]
Introduction The MRC dyspnoea scale consists of five grades that contain of a description of more than one activity. The comparability of these components is not known. This study aimed to examine the performance of individual descriptions of each MRC grade.
J Yorke +4 more
openaire +1 more source
To assess the inter-rater and intra-rater reliability and validity of the original and a modified Medical Research Council scale for testing muscle strength in radial palsy.Prospective, randomized validation study.Thirty-one patients with peripheral paresis of radial innervated forearm muscles were included.Wrist extension, finger extension and grip ...
Tatjana, Paternostro-Sluga +7 more
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OBJETIVO: Verificar a validade e a reprodutibilidade do uso de dois instrumentos subjetivos para avaliar a limitação nas atividades da vida diária (AVD) em pacientes com doença pulmonar obstrutiva crônica (DPOC) no Brasil: o Pulmonary Functional Status ...
Demetria Kovelis +5 more
doaj +1 more source
Machine reading comprehension (MRC) is a cutting-edge technology in natural language processing (NLP), which focuses on teaching machines to read and understand the meaning of texts based on the emergence of large-scale datasets and neural network models.
Tuan-Anh Phan +2 more
doaj +1 more source
The application of crop residue has become increasingly important for providing a barrier against water and wind erosion and improving soil organic matter content, infiltration, evaporation, temperature, and soil structure.
Xiuliang Jin +3 more
doaj +1 more source
Can diffusion tensor imaging lesion patterns predict the outcome of ischemic stroke?
Background Stroke can affect any portion of the central nervous system leading to a wide variety of symptoms depending on the part that is involved. Diffusion tensor imaging (DTI) is an emerging neuroimaging technique that allows measuring the integrity ...
Mervat Mostafa +4 more
doaj +1 more source
Option is an important financial derivative. Accurate option pricing is essential to the development of financial markets. For option pricing, existing time series models and neural networks are difficult to extract multi-scale temporal features from ...
Luwei Lin +4 more
doaj +1 more source
Background This study was designed to identify factors that influence outcomes in a large group of well-defined Guillain–Barré syndrome (GBS) patients with a 3-month follow-up period.
Eman M. Khedr +2 more
doaj +1 more source
Comparing the
AbstractWe performed a comparison between Neuropathy Impairment Scale‐sensory (NISs) vs. the modified Inflammatory Neuropathy Cause and Treatment sensory scale (mISS), and NIS‐motor vs. the Medical Research Council sum score in patients with Guillain‐Barré syndrome (GBS), chronic inflammatory demyelinating polyradiculoneuropathy (CIDP), and IgM ...
Draak, Thomas H. P. +49 more
openaire +3 more sources

