摘要：Knowledge graph (KG) completion aims at filling the missing facts in a KG, where a fact is typically represented as a triple in the form of (head, relation, tail). Traditional KG completion methods compel two#2;thirds of a triple provided (e.g., head and relation) to predict the remaining one. In this paper, we propose a new method that extends multi-layer recurrent neural networks (RNNs) to model triples in a KG as sequences. It obtains state-of-the-art performance on the common entity prediction task, i.e., giving head (or tail) and relation to predict the tail (or the head), using two benchmark data sets. Furthermore, the deep sequential characteristic of our method enables it to predict the relations given head (or tail) only, and even predict the whole triples. Our experiments on these two new KG completion tasks demonstrate that our method achieves superior performance compared with several alternative methods.
摘要： We noticed an unusual increase of first-time patients with schizophrenia (F20) in January 2020 since the outbreak of COVID-19. The aim of this retrospective study is to validate this observation and find potential risk factors, if applicable. A total number of 13,783 records from outpatients in January 2020 were investigated thoroughly. Comparisons between incidence of schizophrenia in outpatients in January 2020 and similar periods of 2017-2019 were made to minimize seasonal influence. Relationship of incidence of schizophrenia and COVID-19 infections in China was calculated. Limited personal information (age, gender, approximate residence) was analyzed to find risk factors.After excluding seasonal factors such as Spring festival, a positive relationship between incidence of schizophrenia in first-time patients and countrywide epidemic situation was found. Statistical results further showed a significant increase of median age from 39 to 50 for first-time patients diagnosed with schizophrenia which is unusual. Meanwhile, a slight but not significant change was found in distribution of gender and approximate residence (urban/suburb). Our data supported that COVID-19 outbreak increased risk of schizophrenia in aged adults which is consistent with the fact that COVID-19 is more lethal to elders. We strongly appeal that public healthcare in countries either with or without infected patients should prepare in advance for potential risks in public mental health.
摘要：Liquid scintillator (LS) will be adopted as the detector material in JUNO (Jiangmen Underground Neutrino Observatory). The energy resolution requirement of JUNO is 3%, which has never previously been reached. To achieve this energy resolution, the light yield of liquid scintillator is an important factor. PPO (the fluor) and bis-MSB (the wavelength shifter) are the two main materials dissolved in LAB. To study the influence of these two materials on the transmission of scintillation photons in LS, 25 and 12 cm-long quartz vessels were used in a light yield experiment. LS samples with different concentration of PPO and bis-MSB were tested. At these lengths, the light yield growth is not obvious when the concentration of PPO is higher than 4 g/L. The influence from bis-MSB becomes insignificant when its concentration is higher than 8 mg/L. This result could provide some useful suggestions for the JUNO LS.