Word embedding has been found to be highly powerful to translate words from one language to another by a simple linear transform. However, we found some inconsistence among the objective functions of the embedding and the transform learning, as well as the distance measurement. This paper proposes a solution which normalizes the word vectors on a hypersphere and constrains the linear transform as an orthogonal transform. The experimental results confirmed that the proposed solution can offer better performance on a word similarity task and an English-to-Spanish word translation task.

Abstract. Biomass burning injects many different gases and aerosols into the atmosphere that could have a harmful effect on air quality, climate, and human health. In this study, a comprehensive biomass burning emission inventory including domestic and in-field straw burning, firewood burning, livestock excrement burning, and forest and grassland fires is presented, which was developed for mainland China in 2012 based on county-level activity data, satellite data, and updated source-specific emission factors (EFs). The emission inventory within a 1  ×  1 km2 grid was generated using geographical information system (GIS) technology according to source-based spatial surrogates. A range of key information related to emission estimation (e.g. province-specific proportion of domestic and in-field straw burning, detailed firewood burning quantities, uneven temporal distribution coefficient) was obtained from field investigation, systematic combing of the latest research, and regression analysis of statistical data. The established emission inventory includes the major precursors of complex pollution, greenhouse gases, and heavy metal released from biomass burning. The results show that the emissions of SO2, NOx, PM10, PM2.5, NMVOC, NH3, CO, EC, OC, CO2, CH4, and Hg in 2012 are 336.8 Gg, 990.7 Gg, 3728.3 Gg, 3526.7 Gg, 3474.2 Gg, 401.2 Gg, 34 380.4 Gg, 369.7 Gg, 1189.5 Gg, 675 299.0 Gg, 2092.4 Gg, and 4.12 Mg, respectively. Domestic straw burning, in-field straw burning, and firewood burning are identified as the dominant biomass burning sources. The largest contributing source is different for various pollutants. Domestic straw burning is the largest source of biomass burning emissions for all the pollutants considered, except for NH3, EC (firewood), and NOx (in-field straw). Corn, rice, and wheat represent the major crop straws. The combined emission of these three straw types accounts for 80 % of the total straw-burned emissions for each specific pollutant mentioned in this study. As for the straw burning emission of various crops, corn straw burning has the largest contribution to all of the pollutants considered, except for CH4; rice straw burning has highest contribution to CH4 and the second largest contribution to other pollutants, except for SO2, OC, and Hg; wheat straw burning is the second largest contributor to SO2, OC, and Hg and the third largest contributor to other pollutants. Heilongjiang, Shandong, and Henan provinces located in the north-eastern and central-southern regions of China have higher emissions compared to other provinces in China. Gridded emissions, which were obtained through spatial allocation based on the gridded rural population and fire point data from emission inventories at county resolution, could better represent the actual situation. High biomass burning emissions are concentrated in the areas with more agricultural and rural activity. The months of April, May, June, and October account for 65 % of emissions from in-field crop residue burning, while, regarding EC, the emissions in January, February, October, November, and December are relatively higher than other months due to biomass domestic burning in heating season. There are regional differences in the monthly variations of emissions due to the diversity of main planted crops and climatic conditions. Furthermore, PM2.5 component results showed that OC, Cl−, EC, K+, NH4+, elemental K, and SO42− are the main PM2.5 species, accounting for 80 % of the total emissions. The species with relatively high contribution to NMVOC emission include ethylene, propylene, toluene, mp-xylene, and ethyl benzene, which are key species for the formation of secondary air pollution. The detailed biomass burning emission inventory developed by this study could provide useful information for air-quality modelling and could support the development of appropriate pollution-control strategies.

Cryptochromes function in animal circadian regulation. Zebrafish are known to have six cryptochrome (cry) genes but their evolutionary relationships are not yet fully resolved. Here, comparative genomic analyses revealed that a local duplication of ancestral chordate Cry occurred likely before the first round of vertebrate genome duplication (VGD); following two successive rounds of VGD and subsequent gene losses, coelacanths retained cry1a, cry1b, cry2 and cry3; and following the third-round teleost genome duplication (TGD) and subsequent gene losses, zebrafish retained six cry genes, renamed as cry1aa (zcry1a in the old nomenclature), cry1ab (zcry1b), cry1ba (zcry2a), cry1bb (zcry2b), cry2 (zcry3) and cry3 (zcry4). Molecular evolutionary analyses suggested that zebrafish cry genes have evolved divergent functions, which is further supported by their distinct and rhythmic expression patterns as shown by both in situ hybridization and quantitative real-time PCR. Systematic cell transfection assays divided six Cry proteins into repressive Cry1aa, Cry1ab, Cry1ba and Cry1bb, and non-repressive Cry2 and Cry3. Cry2 is non-repressive because it lacks an effective protein-protein interaction domain although it does possess a nuclear localization signal (NLS) motif, whilst Cry3 lacks both an NLS motif and a protein-protein interaction domain. These findings provide a better understanding of evolution of zebrafish cry genes.

No abstract

Background: This study investigated: (1) the effects of the loving-kindness meditation (LKM) on mindfulness, subjective well-being (SWB), and spirituality and (2) the relationships between mindfulness, spirituality, and SWB. Methods: 98 flight attendants from Xiamen Airlines in China were recruited and randomly assigned to the LKM training group (n = 49) or the waiting control group (n = 49). The LKM training group underwent an 8-week LKM training intervention, and the control group did not undergo intervention. The three main variables (SWB, mindfulness, and spirituality) were measured both before (pre-test) and after (post-test) the LKM training intervention. Results: In the experimental group, SWB and spirituality increased significantly. In the control group, no significant differences were observed for the three variables between the pre-test and post-test. Conclusions: Our results indicated that LKM may help to improve SWB and spirituality. However, the mechanisms which underlie the effects of the LKM on mindfulness, spirituality, SWB, and other psychological constructs require further elucidation.

No abstract

The mechanism underlying premature ovarian insufficiency remains incompletely understood. Here we report that mice with Per1 m/m ; Per2 m/m double mutations display a decrease in female fertility starting approximately at 20 weeks old, with significantly less pups born from 32 weeks old onwards. Histological analysis revealed that a significant reduction of ovarian follicles was observed in the Per1/Per2 mutants compared with the littermate controls examined at 26 and 52 weeks old, while the difference was not statistically significant between the two groups at 3 and 8 weeks old. We further showed that vascular development including the ovarian follicle associated vascular growth appeared normal in the Per1/Per2 mutant mice, although clock genes were reported to regulate angiogenesis in zebrafish. The findings imply that loss-of-function mutations with Per1/Per2 result in a premature depletion of ovarian follicle reserve leading to the decline of reproductive capacity.

Objective: This study investigated the effects of mindfulness meditation on doctors’ mindfulness, patient safety culture, patient safety competency, and adverse events. Methods: We recruited 91 doctors from a hospital in China and randomized them to mindfulness meditation group (n = 46) and a waiting control group (n = 45). The mindfulness meditation group underwent an 8-week mindfulness meditation intervention, while the control group underwent no intervention. We measured four main variables (mindfulness, patient safety culture, patient safety competency, and adverse event) before and after the mindfulness meditation intervention. Results: In the experimental group, mindfulness, patient safety culture and patient safety competency were significantly higher compared with those of the control group. In the control group, there were no significant differences in any of the three variables between the pre-test and post-test. Adverse events in the experimental group were significantly lower than in the control group. Conclusions: The intervention of mindfulness meditation significantly improved the level of mindfulness, patient safety culture and patient safety competency. During the mindfulness meditation intervention, the rate of adverse events in the meditation group was also significantly lower than in the control group. As a simple and effective intervention, mindfulness meditation plays a positive role in improving patient safety and has certain promotional value.