Network embedding aims at learning low-dimensional representation of vertexes in a network and effectively preserving network structures. These representations can be used as features for many complex tasks on networks such as community detection and multi-label classification. Some classic methods based on the skip-gram model have been proposed to learn the representation of vertexes. However, these methods do not consider the global structure (i.e., community structure) while sampling vertex sequences in network. To solve this problem, we suggest a novel sampling method which takes community information into consideration. It first samples dense vertex sequences by taking advantage of modularity function and then learns vertex representation by using the skip-gram model. Experimental results on the tasks of community detection and multi-label classification show that our method outperforms three state-of-the-art methods on learning the vertex representations in networks.
To research viscosity fitting model of stable nano-lithium bromide solution (nano-LiBr), the stability of the nano-LiBr and the dynamic viscosity of LiBr were measued by Ultraviolet-visible spectroscopy (UV-vis) and rotational viscometer respectively. Two LiBr with different additives were measured, i.e., LiBr with dispersant (E414) and LiBr with dispersant + copper oxide nanoparticles (CuO). The ranges of measuring temperature were from 25°C–60°C, the concentrations of LiBr were from 50%–59%, the volume fractions of the dispersants were from 0%–4%, and the fractions of nanoparticle volume were from 0%–0.05%. Results indicated that the nano-LiBr with E414 had good stability. The viscosity of the LiBr decreased when temperature increased, and increased when LiBr concentration and dispersant amount were increased. It is also found that the viscosity was directly proportional to the volume fraction of the nanoparticles. This study also showed that the higher the concentration of the base fluid was, the more significant increase of the viscosity was. An empirical viscosity model of stable nano-LiBr with a maximum error of 13% was developed.
Introduction: Large-cell neuroendocrine carcinoma (LCNEC) is a seldom seen histological subtype of endometrial cancer with aggressive behavior and poor prognosis. Among current literatures, no one was found to be hormonally functional.Case presentation: We reported a rare case of endometrial LCNEC expressing both parathyroid hormone (PTH) and parathyroid hormone-related protein (PTH-rp). With ectopic PTH secreted into the blood stream, the hypercalcemia caused by malignant existence and osseous metastasis were concealed and misled initially. Literature review: Systematic literature search of previously reported uterine large cell neuroendocrine carcinomas and ectopic PTH-secreting neuroendocrine tumor (NET) cases were conducted in PubMed/MEDLINE databases respectively. We identified 55 cases of uterine LCNEC and 7 cases of PTH-secreting NET. Clinicopathologic characteristics, treatment and prognosis of all collected cases were summarized. Conclusion: Although quite rare, endometrial cancer can be functional and secret ectopic hormone, causing confusing clinical features. This case demonstrated the challenge in diagnosing malignancy-associated refractory hypercalcemia.
This paper aimed to investigate the main reasons for gender inequity problems in the K-12 period and raise attention among schools, family and educators. This paper reviews previous work and adds comments and arguments on it. There are four major factors which can cause gender inequity in education: (1) Chinese elementary education textbooks are not beneficial for developing a correct gender idea; (2) the recognition of gender role is affected by relationship among family members, parents' educational methods and attitudes, and family economic conditions; (3) the chance of receiving education is determined by gender norms, financial returns, and insufficiency of political representations. This paper hopes to raise awareness regarding gender inequity in education within society since gender inequity has been neglected for decades and poses possible solutions as well.
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