荒漠灌丛土壤动物分布及其生态功能

在干旱、半干旱荒漠生态系统中,灌丛作为一种重要的植被类型,其独特的形态和生理适应特性能够有效促进退化生态系统结构与功能的恢复。土壤动物是荒漠生态系统中不可或缺的重要组成部分,对促进灌丛"肥岛"演变具有重要的生态作用,有利于灌丛生态功能的发挥及退化生态系统的恢复。近年来,国内外学者对荒漠灌丛微生境土壤动物的研究逐步深入,取得大量的研究成果。在此基础上,首先综述荒漠灌丛微生境土壤动物群落分布和生态功能,总结灌丛与土壤动物分布间作用关系的数学模型,针对荒漠灌丛土壤动物研究中存在的问题提出了未来可能的研究方向和建议。     

Role of microRNA-26a in cartilage injury and chondrocyte proliferation and apoptosis in rheumatoid arthritis rats by regulating expression of CTGF

This study is carried out to investigate the role of microRNA-26a (miR-26a) in cartilage injury and chondrocyte proliferation and apoptosis in rats with rheumatoid arthritis (RA) by regulating expression of CTGF. A rat model of RA induced by type II collagen was established. The rats were assigned into normal, RA, RA + mimics negative control (NC), and RA + miR-26a mimics groups, and the cells were classified into blank, mimics NC, and miR-26a mimics groups. The degree of secondary joint swelling and arthritis index, expression of miR-26a, pathological changes, proliferation and apoptosis of chondrocytes, and expression of CTGF, interleukin-1β (IL-1β), IL-6, tumor necrosis factor-α, Bax, and Bcl-2 were also determined through a series of experiments. The targeting relationship between miR-26a and CTGF was verified. Initially, downregulated miR-26a was found in cartilage tissues and inflammatory articular chondrocytes of RA rats. In addition, CTGF was determined as a direct target gene of miR-26a, and upregulation of miR-26a inhibited CTGF expression in cartilage tissues of RA rats. Furthermore, upregulation of miR-26a reduced swelling and inflammation of joints, inhibited cartilage damage, apoptosis of chondrocytes, inflammatory injury, promotes proliferation, and inhibited apoptosis of inflammatory articular chondrocytes, which may be correlated with the targeting inhibition of CTGF expression. Collectively, the results demonstrate that upregulating the expression of miR-26a could attenuate cartilage injury, stimulate the proliferation, and inhibit apoptosis of chondrocytes in RA rats.     

Trust-Enhanced Cloud Service Selection Model Based on QoS Analysis

Cloud computing technology plays a very important role in many areas, such as in the construction and development of the smart city. Meanwhile, numerous cloud services appear on the cloud-based platform. Therefore how to how to select trustworthy cloud services remains a significant problem in such platforms, and extensively investigated owing to the ever-growing needs of users. However, trust relationship in social network has not been taken into account in existing methods of cloud service selection and recommendation. In this paper, we propose a cloud service selection model based on the trust-enhanced similarity. Firstly, the direct, indirect, and hybrid trust degrees are measured based on the interaction frequencies among users. Secondly, we estimate the overall similarity by combining the experience usability measured based on Jaccard’s Coefficient and the numerical distance computed by Pearson Correlation Coefficient. Then through using the trust degree to modify the basic similarity, we obtain a trust-enhanced similarity. Finally, we utilize the trust-enhanced similarity to find similar trusted neighbors and predict the missing QoS values as the basis of cloud service selection and recommendation. The experimental results show that our approach is able to obtain optimal results via adjusting parameters and exhibits high effectiveness. The cloud services ranking by our model also have better QoS properties than other methods in the comparison experiments.     

Association of glycosylated haemoglobin HbA1c levels with outcome in patients with COVID-19: A Retrospective Study

Patients with hyperglycemia tend to be susceptible to Coronavirus disease 2019 (COVID-19). However, the association of HbA1c level with outcome of COVID-19 patients was unclear. We performed a retrospective study of 2880 cases of COVID-19 admitted in Tongji Hospital, Wuhan, China, among which 922 had detected the HbA1c levels. We found that COVID-19 patients with either lower levels of HbAlc (3%-4.9%) or higher levels of HbAlc (≥6%) were associated with elevated all-cause mortality. Meanwhile, we observed that HbAlc levels were highly correlated with haemoglobin (Hb) and total cholesterol (TC) (P < .0001), moderately correlated with albumin (ALB) and high-sensitive C reaction protein (hs-CRP) (0.0001 < P<.001), and relatively low correlated with low-density lipoprotein cholesterol (LDL-C) (.001 < P<.01). These associated cofactors might together contribute to the clinical outcome of COVID-19 patients. Furthermore, the mortality was higher in COVID-19 patients with newly diagnosed diabetes mellitus (DM) compared with COVID-19 patients with history of DM. Moreover, in patients with history of DM, the mortality was decreased in patients treated with anti-hyperglycaemic drugs. In summary, our data showed that the in-hospital mortality was increased in COVID-19 patients with lower or higher levels of HbAlc. Meanwhile, initiation of appropriate anti-hyperglycaemic treatment might improve the clinical outcome in COVID-19 patients.