A Novel Method of Chinese Electronic Medical Records Entity Labeling Based on BIC model

In the field of bio-medicine, mass data are generated every day, such as Chinese electronic medical record (EMR), containing massive medical terminology and specific categories of entities. The way to analyze and obtain effective information from these sparse data is a difficulty in research. As the foundation of analyzing huge amount of biomedical text data, Named Entity Recognition (NER) is essential in Natural Language Processing (NLP) complementing with effective labeling data. One of the two basic sequence labeling methods is rule-based bulk corpus tagging, requiring domain experts to establish targeted recognition rule base. However, in the application field, this method is single, and the portability does not make the expectation, bringing great limitations; The other is complete manual labeling, but it is time-consuming and laborious. Based on Bidirectional Long Short-Term Memory network (BiLSTM), Iterated Dilated Convolution Neural Network (IDCNN) and Conditional Random Field (CRF), we proposed the BIC model. This paper proposes a method for EMR entity labeling based on BIC model, realizing automatic annotation of Chinese EMR data. Machine labeling data can be used after manual review, which will reduce the workload of manual labeling bestially. Compared with other models, F1 value of BIC model reached 91.90% in CCKS2017 dataset, and 78% in PACS report data. Experiments show that our method is superior to the others.

China’s Non-Recognition of Foreign Same-Sex Unions

Chinese law neither expressly recognises nor prohibits same-sex unions (‘same-sex unions’ in this article refers to homosexual relationships that are legally recognised and protected by law, including marriage, civil union, (un)registered partnership, and so on). Until now, no dispute over foreign same-sex union has been brought in a Chinese court. However, the Department of Consular Affairs of China’s Ministry of Foreign Affairs has adopted a blanket non-recognition rule, alleging that same-sex unions would violate China’s (‘China’ hereinafter refers to the jurisdiction of Mainland China, excluding those of the Hong Kong SAR, the Macao SAR, and Taiwan) family law and the public interest. However, it is argued that foreign same-sex unions should be recognised unless such recognition would violate the public policy of the forum state. First, foreign same-sex unions should be regulated by the Chinese conflict rules, not by Chinese domestic law. Additionally, China is internationally obliged to recognise and protect fundamental human rights (right to marry). Secondly, under China’s conflict rules, a foreign same-sex union should be governed by the lex personalis or the law that has the closest connection with that union. Thirdly, as more than 40 jurisdictions throughout the world have legally recognised same-sex unions, and China itself has decriminalised homosexuality, same-sex unions would not necessarily be incompatible with China’s public policy. Fourthly, non-recognition of same-sex unions would instead cause public policy problems because it practically always favours one party over another, helping foreign same-sex couples to evade their responsibilities imposed by the relevant foreign law.

The Economic Consequences of Expanding Accounting Recognition

This article investigates the economic consequences of including more hard-to-measure future activities in a firm’s accounting measurements. Using a simple model of endogenous investment in which payoffs are measured by either a restrictive or expanded recognition rule, we show that, in the process of expanding accounting recognition, firms’ internal investment efficiency and external share-price risk premium may not necessarily be a trade-off. In particular, we show that the consequences of an accounting scope expansion depend on the investment environment (e.g., growth prospects) and the inherent measurement characteristics (e.g., measurement noise). For example, even with a higher measurement noise, an expanded accounting recognition may generate a lower risk premium in the share price. More surprisingly, it may lead to a higher investment efficiency and a lower risk premium at the same time. The underlying driving force is that different accounting regimes can affect the risk premium indirectly through their impacts on the investment level, beyond directly through the different measurement noise levels they bring.

Spatially-induced nestedness in a neutral model of phage-bacteria networks

Ecological networks, both displaying mutualistic or antagonistic interactions, seem to share common structural traits: the presence of nestedness and modularity. A variety of model approaches and hypothesis have been formulated concerning the significance and implications of these properties. In phage-bacteria bipartite infection networks, nestedness seems to be the rule in many different contexts. Modeling the coevolution of a diverse virus-host ensemble is a difficult task, given the dimensionality and multi parametric nature of a standard continuous approximation. Here we show that this can actually be overcome by using a simple model of coevolving digital genomes on a spatial lattice and having exactly the same properties, i.e. a genome-independent fitness associated to fixed growth and death parameters. A matching allele model of phage-virus recognition rule is enough to generate a complex, diverse ecosystem with heterogeneous patterns of interaction and nestedness, provided that interactions take place under a spatially-constrained setting. It is found that nestedness seems to be an emergent property of the coevolutionary dynamics. Our results indicate that the enhanced diversity resulting from localized interactions strongly promotes the presence of nested infection matrices.

THE EFFECTS OF FIRM CHARACTERISTICS AND RECOGNITION POLICY ON EMPLOYEE STOCK OPTIONS PRICES AFTER CONTROLLING FOR SELF-SELECTION

We examine whether and how firm characteristics, including firm size and liquidity, affect the relation between employee stock option (ESO) grants (as proxied by disclosed ESO expenses) and firm value. We also investigate how the implementation of a new share-based compensation recognition rule affects the pricing effect of ESOs. Prior studies have provided mixed results concerning how ESOs affect firm value. We argue that their findings could be attributable to self-selection and a non-uniform ESO-share price relation. We use the threshold model to address our research questions after controlling for self-selection bias. We find that markets tend to positively price ESOs in the case of firms characterized by large size and low liquidity. In addition, we find that after the new rule came into effect, ESOs became positively associated with firm value. These results are congruent with ownership and symbolic value theories, the lifecycle stages hypothesis and the contention that an ESO expensing policy enhances the quality of financial statements.