No abstract

BACKGROUND: Oyster polypeptides have various biofunctions, such as anti-cancer and anti-oxidative stress, but whether it has the protective effects to primary ovarian failure (POF) remains poorly understand. To address this issue, daily gavage of oyster polypeptides was performed to investigate their protective effect, basing on D-galactose-induced POF model in C57BL/6 female mice. RESULTS: Oyster polypeptides restored the irregular estrous cycles and the abnormal serum follicle stimulating hormone (FSH), luteinizing hormone (LH) and progesterone (P) levels as well as the decreased mRNA expression level ofAmh that were induced by D-galactose. The follicle development of POF mice was improved by increasing the primordial follicle ratio and decreasing the atretic follicle number after oral administration of oyster polypeptides. Moreover, in the oyster polypeptides treated mice, the total superoxide dismutase (T-SOD) activity was significantly increased, while the malondialdehyde levels were significantly decreased. The mRNA expression levels of stress-related genes (SOD2, SIRT1 and FOXO3a) were remarkably up-regulated after D-galactose induction, but the up-regulation was weakened or disappeared by the gavage of oyster polypeptides. In addition, oyster polypeptides treatment also reduced the apoptosis of the ovarian granulosa cells and down-regulated the mRNA expression levels of apoptosis-related genes (p53 and Bad but not Bcl-2).CONCLUSION: This study reveals that oyster polypeptides may protect ovary against D-galactose-induced POF by their anti-oxidative stress activity to rescue D-galactose-induced ovarian oxidative damage and therefore to prevent ovarian cells apoptosis, thereby tipping the abnormality trigged by POF to get close to the normal levels. (Du) † These authors have contributed equally to this work.

It is widely accepted that cloud computing as a new technology can effectively promote e-government application. Nowadays, China is actively promoting the applications of e-government public cloud. In order to accelerate its step, it is necessary to find critical influence factors of implementing e-government cloud. We analyze current situation of Chinas e-government and existing cloud computing technologies, and discuss the importance of cloud computing to e-government. Meanwhile, combining with the practical issues of implementing e-government cloud, we analyze existing factors of e-government and propose an influence factor model of implementing e-government cloud in China based on Gil-Garcias critical factor of e-government. Furthermore, it articulates suggestions for further research and provides the foundation for research of this field.

Multicompound determination for the quality control of traditional Chinese medicine (TCM) may often be inadequate, since these compounds may not be associated with, or fully represent, the clinical effects of TCM. Moreover, the individual contributions of each constituent to the pharmacological effect are often not considered. In China, Porana sinensis is widely used as a substitute for Erycibe sources to treat joint pain and rheumatoid arthritis. The existing quality control methods for P. sinensis neither consider the individual contributions of various compounds nor control the actual quality associated with different clinical efficacies. In the present study, a novel efficacy‐oriented approach, named the effect‐constituent index (ECI), was established for P. sinensis. Analyses of the spectrum–effect relationship and components in rat plasma were conducted to systematically and scientifically select quality markers. Quantitative analysis of multicomponents via a single marker method was introduced to enhance the practical application value of the established ECI. The established ECI shows a good ability to distinguish and predict the bioeffect‐based quality of P. sinensis. The present study also provides a reference for the establishment and application of ECI as a quality control method for TCMs.

In this study, hot stamping tests on continuous glass fiber (GF)-reinforced thermoplastic (PP) composites were conducted under different process parameters using a self-designed hemispherical hot stamping die with a heating system. The effects of parameters such as preheating temperature, stamping depth, and stamping speed on the formability of the fabricated parts were analyzed using optical microscopy and scanning electron microscopy (SEM). The test results show that the suitable stamping depth should be less than 15 mm, the stamping speed should be less than 150 mm/min, and the preheating temperature should be about 200 °C. From the edge of the formed parts to their pole area, a thin-thick-thin characteristic in thickness was observed. Under the same preheating temperature, the influence of stamping depth on the thickness variation of the formed parts was more significant than the stamping speed. The primary defects of the formed parts were cracking, wrinkling, delamination, and fiber exposure. Resin poverty often occurred in the defect area of the formed parts and increased with stamping depth and stamping speed.