Apolipoprotein CIII hyperactivates β cell CaV1 channels through SR-BI/β1 integrin-dependent coactivation of PKA and Src

Apolipoprotein CIII (ApoCIII) not only serves as an inhibitor of triglyceride hydrolysis but also participates in diabetes-related pathological events such as hyperactivation of voltage-gated Ca²⁺ (Ca_V) channels in the pancreatic β cell. However, nothing is known about the molecular mechanisms whereby ApoCIII hyperactivates β cell Ca_V channels. We now demonstrate that ApoCIII increased Ca_V1 channel open probability and density. ApoCIII enhanced whole-cell Ca²⁺ currents and the Ca_V1 channel blocker nimodipine completely abrogated this enhancement. The effect of ApoCIII was not influenced by individual inhibition of PKA, PKC, or Src. However, combined inhibition of PKA, PKC, and Src counteracted the effect of ApoCIII, similar results obtained by coinhibition of PKA and Src. Moreover, knockdown of β1 integrin or scavenger receptor class B type I (SR-BI) prevented ApoCIII from hyperactivating β cell Ca_V channels. These data reveal that ApoCIII hyperactivates β cell Ca_V1 channels through SR-BI/β1 integrin-dependent coactivation of PKA and Src.     

系统论视角下我国农村水污染受害者救助的社区干预方法探析

支持性的社区环境可以为个人和家庭提供基本的社会、经济和情感的支持,而一个功能衰败、权力结构不平等的社区则会加深个人和家庭的功能失调和病态。本文以系统理论为基本工具,了解和介入案主的社会环境,探究我国农村水污染受害者救助社区干预方法。     

Germline-specific dgcr8 knockout in zebrafish using a BACK approach

Zebrafish is an important model to study developmental biology and human diseases. However, an effective approach to achieve spatial and temporal gene knockout in zebrafish has not been well established. In this study, we have developed a new approach, namely bacterial artificial chromosome-rescue-based knockout (BACK), to achieve conditional gene knockout in zebrafish using the Cre/loxP system. We have successfully deleted the DiGeorge syndrome critical region gene 8 (dgcr8) in zebrafish germ line and demonstrated that the maternal-zygotic dgcr8 (MZdgcr8) embryos exhibit MZdicer-like phenotypes with morphological defects which could be rescued by miR-430, indicating that canonical microRNAs play critical role in early development. Our findings establish that Cre/loxP-mediated tissue-specific gene knockout could be achieved using this BACK strategy and that canonical microRNAs play important roles in early embryonic development in zebrafish.     

肝动脉化疗栓塞术治疗肝恶性肿瘤对肝功能的影响

目的探讨肝动脉化疗栓塞术(TACE)治疗肝恶性肿瘤患者对肝功能的影响.方法选取60例肝恶性肿瘤患者作为本组观察病例,分别在术前、术后1d、7d、3周及6周时对患者进行肝功能检测,并对结果进行对比分析.结果术后1d及术后7d的ALT,TBIL,DBIL均明显高于术前,差异具有统计学意义(P0.05);术后其余各项指标与术前相比均无明显差异,无统计学意义(P0.05).结论 TACE治疗后短期内对肝恶性肿瘤患者的肝功能有较大影响,在治疗后要注意加强对患者肝功能的保护.     

碱性与中基性粗集料影响混凝土抗冻性能对比

粗集料作为混凝土的重要组成材料,其品质直接关系到混凝土的各项性能.通过试验对比研究了碱性矿料石灰岩(ω(SiO_2)为1.01%)和中基性矿料玄武岩(ω(SiO_2)为53.5%)混凝土的抗冻性能,分析了两类试件的质量损失率和相对动弹性模量.结果表明:碱性矿料能够提高混凝土的抗冻性能,这对解决混凝土抗冻性能具有重要意义.     

反思在服务学习中的作用研究

反思是服务学习的一个重要特质,也是实施过程中一个重要的阶段,是保证服务学习质量,提升服务效果的重要组成部分。本文主要从反思的理论基础,反思的特质以及反思的作用等方面阐述反思在服务学习中的地位和价值,有助于更好地开展服务学习,提升服务学习效果。     

An Adaptive Multiscale Ensemble Learning Paradigm for Nonstationary and Nonlinear Energy Price Time Series Forecasting

For forecasting nonstationary and nonlinear energy prices time series, a novel adaptive multiscale ensemble learning paradigm incorporating ensemble empirical mode decomposition (EEMD), particle swarm optimization (PSO) and least square support vector machines (LSSVM) with kernel function prototype is developed. Firstly, the extrema symmetry expansion EEMD, which can effectively restrain the mode mixing and end effects, is used to decompose the energy price into simple modes. Secondly, by using the fine‐to‐coarse reconstruction algorithm, the high‐frequency, low‐frequency and trend components are identified. Furthermore, autoregressive integrated moving average is applicable to predicting the high‐frequency components. LSSVM is suitable for forecasting the low‐frequency and trend components. At the same time, a universal kernel function prototype is introduced for making up the drawbacks of single kernel function, which can adaptively select the optimal kernel function type and model parameters according to the specific data using the PSO algorithm. Finally, the prediction results of all the components are aggregated into the forecasting values of energy price time series. The empirical results show that, compared with the popular prediction methods, the proposed method can significantly improve the prediction accuracy of energy prices, with high accuracy both in the level and directional predictions. Copyright © 2016 John Wiley & Sons, Ltd.     

Exact inference for two exponential populations with competing risks data

In a reliability comparative test, the joint censoring model is usually adopted to evaluate the performances of units with the same facility. However, most researchers ignore the pos- sibility that there is more than one factor for the failure when a test unit fails. To solve this problem, we consider a joint Type-II hybrid censoring model for the analysis of exponential competing failure data. Based on the maximum likelihood theory, we compute the maximum likelihood estimators （MLEs） of parameters and then obtain the condition ensuring MLEs existence for every unknown parameter. Then we derive the conditional exact distributions and corresponding moment properties for parameters by the moment generating function （MGF）. A Monte-Carlo simulation is conducted to compare the performances of different ways. And finally, we conduct a numerical example to illustrate the proposed method.