Results 21 to 30 of about 96,614 (276)

MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price [PDF]

2021 International Joint Conference on Neural Networks (IJCNN), 2021
Bitcoin, one of the major cryptocurrencies, presents great opportunities and challenges with its tremendous potential returns accompanying high risks. The high volatility of Bitcoin and the complex factors affecting them make the study of effective price forecasting methods of great practical importance to financial investors and researchers worldwide.
Qiutong Guo, Shun Lei, Qing Ye, Zhiyang Fang   +3 more
openaire   +2 more sources

Robustness-Eva-MRC: Assessing and analyzing the robustness of neural models in extractive machine reading comprehension

Intelligent Systems with Applications, 2023
Deep neural networks, despite their remarkable success in various language understanding tasks, have been found vulnerable to adversarial attacks and subtle input perturbations, revealing a robustness shortfall.
Jingliang Fang, Hua Xu, Zhijing Wu, Kai Gao, Xiaoyin Che, Haotian Hui   +5 more
doaj   +1 more source

Pulmonary rehabilitation in patients with MRC Dyspnoea Scale 2 [PDF]

Thorax, 2010
The recent INTERCOM study emphasises the point that community-based rehabilitation is effective, even in patients with chronic obstructive pulmonary disease (COPD) with less advanced airflow obstruction.1 However, COPD and pulmonary rehabilitation guidelines recommend offering pulmonary rehabilitation (PR) to patients who consider themselves ...
Man, W. D-C, Grant, A., Hogg, L., Moore, J., Barker, R. D., Moxham, J.   +5 more
openaire   +2 more sources

Evaluation of outcome after primary median and/or ulnar nerve(s) repair at wrist: clinical, functional, electrophysiologic, and ultrasound study

Egyptian Rheumatology and Rehabilitation, 2021
Background A major problem in surgery of peripheral nerve injuries of the upper extremities is the unpredictable final outcome. More insight and understanding of the proper methods of outcome assessment and the prognostic factors is necessary to improve ...
Nahla Ahmed Hassan, Noha Abdelhalim Elsawy, Hesham Hussien Kotb, Mowaffak Mostafa Abd El-Hamid, Wafaa Samir El Emairy, Hassan Mahmoud Kholosy   +5 more
doaj   +1 more source

A Survey on Machine Reading Comprehension—Tasks, Evaluation Metrics and Benchmark Datasets

Applied Sciences, 2020
Machine Reading Comprehension (MRC) is a challenging Natural Language Processing (NLP) research field with wide real-world applications. The great progress of this field in recent years is mainly due to the emergence of large-scale datasets and deep ...
Changchang Zeng, Shaobo Li, Qin Li, Jie Hu, Jianjun Hu   +4 more
doaj   +1 more source

Evaluation of Long-Term Results of Oberlin Surgery in Obstetric Brachial Paralysis

Revista Brasileira de Ortopedia, 2022
Objective To evaluate elbow flexion in children with obstetric brachial plexus paralysis submitted to Oberlin transfer. Methods Retrospective study with 11 patients affected by paralysis due to labor who did not present spontaneous recovery from elbow ...
Eduardo Araújo Figueiredo, Fernando Sellitti Chiabai de Freitas, Júlio Inácio Parente Neto, Yussef Ali Abdouni, Antônio Carlos da Costa   +4 more
doaj   +2 more sources

Role of BoNT-A in patient with post COVID-19 spasticity, assessed by H-reflex [PDF]

Romanian Journal of Neurology
Background. COVID-19 is a pandemic disease due to viral infection. It spread throughout the world, and the association of COVID-19 with neuroendocrine system is a well-known fact especially while the connection between the endocrine and immune system ...
Safa Muntadher Fawzi, Israa F. Jaafar, Islam Muntadher Fawzi   +2 more
doaj   +1 more source

Using 4+ to grade near-normal muscle strength does not improve agreement

Chiropractic & Manual Therapies, 2017
Background Manual assessment of muscle strength is often graded using the ordinal Medical Research Council (MRC) scale. The scale has a number of inherent weaknesses, including poorly defined limits between grades ‘4’ and ‘5’ and very large differences ...
Søren O’Neill, Sofie Louise Thomsen Jaszczak, Anne Katrine Søndergaard Steffensen, Birgit Debrabant   +3 more
doaj   +1 more source

Accounting for precipitation asymmetry in a multiplicative random cascade disaggregation model [PDF]

Hydrology and Earth System Sciences, 2023
Analytical multiplicative random cascades (MRCs) are widely used for the temporal disaggregation of coarse-resolution precipitation time series. This class of models applies scaling models to represent the dependence of the cascade generator on the ...
K. Maloku, B. Hingray, G. Evin
doaj   +1 more source

A MRC METHOD FOR LOW METHANE SOURCES IN SMALL SCALE CMM LIQUEFACTION PLANT [PDF]

AIP Conference Proceedings, 2008
Coalmine methane (CMM) liquefiers in small scale, 5000 to 20000 Nm3/d, are applied more and more in Chinese LNG projects. Most CMM sources contain ∼50% methane and 50% air. In order to make use of these low methane energy sources, a new full-scale separation system was designed and tested using a mixed refrigerant cycle.
H. Y. Li, L. X. Jia, Q. S. Yin, Q. H. Fan, G. D. Yang, X. K. Liu, W. Bai, F. Y. Xu, Z. M. Ji, J. S. Cui, J. G. Weisend, John Barclay, Susan Breon, Jonathan Demko, Michael DiPirro, J. Patrick Kelley, Peter Kittel, Arkadiy Klebaner, Al Zeller, Mark Zagarola, Steven Van Sciver, Andrew Rowe, John Pfotenhauer, Tom Peterson, Jennifer Lock   +24 more
openaire   +1 more source