1,961 research outputs found
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
One of the biggest challenges that prohibit the use of many current NLP
methods in clinical settings is the availability of public datasets. In this
work, we present MeDAL, a large medical text dataset curated for abbreviation
disambiguation, designed for natural language understanding pre-training in the
medical domain. We pre-trained several models of common architectures on this
dataset and empirically showed that such pre-training leads to improved
performance and convergence speed when fine-tuning on downstream medical tasks.Comment: EMNLP 2020 Clinical NL
Quantum correlations in a cluster-like system
We discuss a cluster-like 1D system with triplet interaction. We study the
topological properties of this system. We find that the degeneracy depends on
the topology of the system, and well protected against external local
perturbations. All these facts show that the system is topologically ordered.
We also find a string order parameter to characterize the quantum phase
transition. Besides, we investigate two-site correlations including
entanglement, quantum discord and mutual information. We study the different
divergency behaviour of the correlations. The quantum correlation decays
exponentially in both topological and magnetic phases, and diverges in reversed
power law at the critical point. And we find that in TQPT systems, the global
difference of topology induced by dimension can be reflected in local quantum
correlations.Comment: 7 pages, 6 figure
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Towards universal health coverage: lessons from 10 years of healthcare reform in China.
Universal health coverage (UHC) is driving the global health agenda. Many countries have embarked on national policy reforms towards this goal, including China. In 2009, the Chinese government launched a new round of healthcare reform towards UHC, aiming to provide universal coverage of basic healthcare by the end of 2020. The year of 2019 marks the 10th anniversary of China's most recent healthcare reform. Sharing China's experience is especially timely for other countries pursuing reforms to achieve UHC. This study describes the social, economic and health context in China, and then reviews the overall progress of healthcare reform (1949 to present), with a focus on the most recent (2009) round of healthcare reform. The study comprehensively analyses key reform initiatives and major achievements according to four aspects: health insurance system, drug supply and security system, medical service system and public health service system. Lessons learnt from China may have important implications for other nations, including continued political support, increased health financing and a strong primary healthcare system as basis
Amphibians and Reptiles of Dinghushan in Guangdong Province, China’s Oldest Nature Reserve
Dinghushan is the only nature reserve at the Tropic of Cancer in mainland China with extensive old growth monsoonal hardwood forest. We here assemble a comprehensive list, with life history notes, of amphibians and reptiles of Dinghushan. Relevant records were scattered over three centuries since the first in 1886. A total of 71 species are known to occur in the reserve, and this number of species per area far exceeds that predicted by classic island biogeographic theory. Among these 71 species, nine are new records: Five frogs (Amolops ricketti, Hylarana macrodactyla, Hylarana taipehensis, Odorrana schmackeri, and Occidozyga lima) and four snakes (Oligodon cinereus, Sinonatrix percarinata, Sinomicrurus macclellandi, and Trimeresurus stejnegeri). One undetermined skink may confound the generic definitions for the genera of Scincella and Sphenomorphus. Among these 71 species, 21 that are not closely associated with old growth forest have not been seen recently. Forest recovery and reforestation of farmland over five decades since the nature reserve was established in 1956 may have contributed to the decline of these species. Dinghushan has 97% of its species occurring strictly in the Oriental zone; among them, about 78% (55) occur both in the South China and Central China regions, 21% (15) occur only in the South China region, and one species was previously known only from the Central China region. The unique location of Dinghushan makes long-term monitoring of its herpetofaunal diversity important for future collaborative studies on a global scale
Amphibians and Reptiles of Dinghushan in Guangdong Province, China’s Oldest Nature Reserve
Dinghushan is the only nature reserve at the Tropic of Cancer in mainland China with extensive old growth monsoonal hardwood forest. We here assemble a comprehensive list, with life history notes, of amphibians and reptiles of Dinghushan. Relevant records were scattered over three centuries since the first in 1886. A total of 71 species are known to occur in the reserve, and this number of species per area far exceeds that predicted by classic island biogeographic theory. Among these 71 species, nine are new records: Five frogs (Amolops ricketti, Hylarana macrodactyla, Hylarana taipehensis, Odorrana schmackeri, and Occidozyga lima) and four snakes (Oligodon cinereus, Sinonatrix percarinata, Sinomicrurus macclellandi, and Trimeresurus stejnegeri). One undetermined skink may confound the generic definitions for the genera of Scincella and Sphenomorphus. Among these 71 species, 21 that are not closely associated with old growth forest have not been seen recently. Forest recovery and reforestation of farmland over five decades since the nature reserve was established in 1956 may have contributed to the decline of these species. Dinghushan has 97% of its species occurring strictly in the Oriental zone; among them, about 78% (55) occur both in the South China and Central China regions, 21% (15) occur only in the South China region, and one species was previously known only from the Central China region. The unique location of Dinghushan makes long-term monitoring of its herpetofaunal diversity important for future collaborative studies on a global scale
5-Fluoro-1H-indole-3-carboxylic acid
In the title compound, C9H6FNO2, the carboxyl group is twisted slightly away from the indole-ring plane [dihedral angle = 7.39 (10)°]. In the crystal, carboxyl inversion dimers linked by pairs of O—H⋯O hydrogen bonds generate R
2
2(8) loops and N—H⋯O hydrogen bonds connect the dimers into (10) sheets
MiRNA-145 increases therapeutic sensibility to gemcitabine treatment of pancreatic adenocarcinoma cells.
Pancreatic adenocarcinoma is one of the most leading causes of cancer-related deaths worldwide. Although recent advances provide various treatment options, pancreatic adenocarcinoma has poor prognosis due to its late diagnosis and ineffective therapeutic multimodality. Gemcitabine is the effective first-line drug in pancreatic adenocarcinoma treatment. However, gemcitabine chemoresistance of pancreatic adenocarcinoma cells has been a major obstacle for limiting its treatment effect. Our study found that p70S6K1 plays an important role in gemcitabine chemoresistence. MiR-145 is a tumor suppressor which directly targets p70S6K1 for inhibiting its expression in pancreatic adenocarcinoma, providing new therapeutic scheme. Our findings revealed a new mechanism underlying gemcitabine chemoresistance in pancreatic adenocarcinoma cells
Au impact on GaAs epitaxial growth on GaAs (111)B substrates in molecular beam epitaxy
GaAs growth behaviour under the presence of Au nanoparticles on GaAs {111}(B) substrate is investigated using electron microscopy. It has been found that, during annealing, enhanced Ga surface diffusion towards Au nanoparticles leads to the GaAs epitaxial growth into {113}(B) faceted triangular pyramids under Au nanoparticles, governed by the thermodynamic growth, while during conventional GaAs growth, growth kinetics dominates, resulting in the flatted triangular pyramids at high temperature and the epitaxial nanowires growth at relatively low temperature. This study provides an insight of Au nanoparticle impact on GaAs growth, which is critical for understanding the formation mechanisms of semiconductor nanowires. (C) 2013 American Institute of Physics. [http://dx.doi.org/10.1063/1.4792053
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