A Boundary Determined Neural Model for Relation Extraction

Existing models extract entity relations only after two entity spans have been precisely extracted that influenced the performance of relation extraction. Compared with recognizing entity spans, because the boundary has a small granularity and a less ambiguity, it can be detected precisely and incorporated to learn better representation. Motivated by the strengths of boundary, we propose a boundary determined neural (BDN) model, which leverages boundaries as task-related cues to predict the relation labels. Our model can predict high-quality relation instance via the pairs of boundaries, which can relieve error propagation problem. Moreover, our model fuses with boundary-relevant information encoding to represent distributed representation to improve the ability of capturing semantic and dependency information, which can increase the discriminability of neural network. Experiments show that our model achieves state-of-the-art performances on ACE05 corpus

Factors influencing the work passion of Chinese community health service workers: an investigation in five provinces

BACKGROUND: After the implementation of new healthcare reform, Chinese government paid increasing attention to developing community health service (CHS). The current focus is mainly on cultivating community general practitioners but paying less attention to the working status and occupational demands of in-service CHS workers. Work passion is playing an important role for medical workers. With work passion, CHS workers’ team will become more stable and more effective, ensuring the sustainable development of CHS system. At present, the work passion of CHS workers is relatively low. Studying on influencing factors of work passion of CHS workers, promoting their work passion, and making them keep enthusiasm for work are significant. METHODS: A total of 100 CHS organizations were sampled randomly in 10 cities from 5 Chinese provinces for this study. A total of 3450 CHS workers from these CHS institutions took part in the surveys. Questionnaires were used to collect data, including socio-demographic information, work passion and opinion on influencing causes, and work-related satisfaction. Pearson chi-square statistical method was used to identify the factors related to CHS workers’ work passion. Binary logistic regression was performed to determine the significant factors that influence CHS workers’ work passion. RESULTS: A total of 38.77% of those who accomplished the questionnaire expressed that they didn’t have passion for current work. The related factors that influence CHS workers’ work passion are (1) socio-demographic factors such as age, and years of employment, and (2) other work-related factors such as learning and training opportunities, compensation packages, work stress, and personal development opportunities. CHS workers were most dissatisfied with the balance between remuneration and workload, job promotion opportunities. CONCLUSIONS: Based on the results, the government should concern for CHS workers’ working status and work-related demands, pay more attention and meet their demands for reasonable compensation packages and self-development, balance the income and workload, provide more learning and training opportunities and personal development opportunities for CHS workers, in order to promote CHS workers’ work satisfaction, improve their work passion and enthusiasm

Urban metabolism and emergy of China’s cities

Unprecedented pace of urbanization and industrialization caused a massive increase in China’s urbanmetabolic pressure. The trend presents an urgent challenge for detailing the long-term changes anddisparities in urban metabolic performances in a wide range of cities. Here, we present empirical evidenceof 283 China’s cities from 2000 to 2018 based on emergy analysis indicating that China’s urbanmetabolic performance gradually becomes worse. For example, the environmental sustainability indexdecreased by 81.64% between 2000 and 2018. In addition, emergy-based performances among China’scities show considerable differences. Agricultural cities and light manufacturing cities have bettersustainability; energy production cities face high environmental pressure. Scenarios for 2025 show thattotal emergy use would experience slower growth; and most cities continue their decline in emergymetabolism. To ensure overall progress on urban metabolic performance, heavy manufacturing cities andenergy production cities should give more attention in adjusting emergy structure

The Impacts of Swimming Exercise on Hippocampal Expression of Neurotrophic Factors in Rats Exposed to Chronic Unpredictable Mild Stress

Depression is associated with stress-induced neural atrophy in limbic brain regions, whereas exercise has antidepressant effects as well as increasing hippocampal synaptic plasticity by strengthening neurogenesis, metabolism, and vascular function. A key mechanism mediating these broad benefits of exercise on the brain is induction of neurotrophic factors, which instruct downstream structural and functional changes. To systematically evaluate the potential neurotrophic factors that were involved in the antidepressive effects of exercise, in this study, we assessed the effects of swimming exercise on hippocampal mRNA expression of several classes of the growth factors (BDNF, GDNF, NGF, NT-3, FGF2, VEGF, and IGF-1) and peptides (VGF and NPY) in rats exposed to chronic unpredictable mild stress (CUMS). Our study demonstrated that the swimming training paradigm significantly induced the expression of BDNF and BDNF-regulated peptides (VGF and NPY) and restored their stress-induced downregulation. Additionally, the exercise protocol also increased the antiapoptotic Bcl-xl expression and normalized the CUMS mediated induction of proapoptotic Bax mRNA level. Overall, our data suggest that swimming exercise has antidepressant effects, increasing the resistance to the neural damage caused by CUMS, and both BDNF and its downstream neurotrophic peptides may exert a major function in the exercise related adaptive processes to CUMS

Aphrodisiac Use Associated with HIV Infection in Elderly Male Clients of Low-Cost Commercial Sex Venues in Guangxi, China: A Matched Case-Control Study

Background: Rising HIV infection rates have been observed among elderly people in Guangxi, China. Inexpensive aphrodisiacs are available for purchase in suburban and rural areas. This study aims to investigate the association between aphrodisiac use and increased HIV risk for middle-aged and elderly men in Guangxi. Methods: A matched case-control study of aphrodisiac use-associated HIV infection was performed among male subjects over 50 years old who were clients of low-cost commercial sex venues in Guangxi. The cases were defined as clients who were HIV-positive and two controls were selected for each case. The cases and the controls were matched on the visited sex venue, age (±3 years), number of years of purchasing sex (±3 years), and educational attainment. Subjects were interviewed and tested for HIV. Paired t-test or McNemar Chi-squared test were used to compare the characteristics between the cases and controls. A stepwise conditional logistic regression was used to identify risk factors associated with HIV infection. Findings: This study enrolled 103 cases and 206 controls. Aphrodisiac use (P = 0.02, odds ratio (OR) = 1.81, 95% CI = 1.08–3.04), never using condom during commercial sex encounter (P = 0.03, odds ratio (OR) = 1.82, 95% CI = 1.08–3.07), and lacking a stable partner (P = 0.03, odds ratio (OR) = 1.76, 95% CI = 1.05–2.98) were found to be risk factors for HIV infection among the study groups. For subjects reporting aphrodisiac use, the frequency of purchasing sex was positively correlated with the frequency of aphrodisiac use (r = 0.3; p = 0.02). Conclusions: Aphrodisiac use was significantly associated with increased HIV infection risk in men over 50 years old who purchased commercial sex in the suburban and rural areas of Guangxi. Further research and interventions should address the links between aphrodisiac use, commercial sex work, condom use, and increased HIV transmission

Composition and Performance of Nanostructured Zirconium Titanium Conversion Coating on Aluminum-Magnesium Alloys

Nanostructured conversion coating of Al-Mg alloy was obtained via the surface treatment with zirconium titanium salt solution at 25°C for 10 min. The zirconium titanium salt solution is composed of tannic acid 1.00 g·L−1, K2ZrF6 0.75 g·L−1, NaF 1.25 g·L−1, MgSO4 1.0 g/L, and tetra-n-butyl titanate (TBT) 0.08 g·L−1. X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and Fourier transform infrared spectrum (FT-IR) were used to characterize the composition and structure of the obtained conversion coating. The morphology of the conversion coating was obtained by atomic force microscopy (AFM) and scanning electron microscopy (SEM). Results exhibit that the zirconium titanium salt conversion coating of Al-Mg alloy contains Ti, Zr, Al, F, O, Mg, C, Na, and so on. The conversion coating with nm level thickness is smooth, uniform, and compact. Corrosion resistance of conversion coating was evaluated in the 3.5 wt.% NaCl electrolyte through polarization curves and electrochemical impedance spectrum (EIS). Self-corrosion current density on the nanostructured conversion coating of Al-Mg alloy is 9.7×10-8A·cm-2, which is only 2% of that on the untreated aluminum-magnesium alloy. This result indicates that the corrosion resistance of the conversion coating is improved markedly after chemical conversion treatment