极大节旋藻(Arthrospira maxima)生物钟基因kaiC的克隆及分析

以kaiC基因簇部分已知序列为引物设计位点,采用PCR反应池法从节旋藻基因组fosmid文库中筛选到kaiC基因克隆,通过步移测序获得了kaiC基因全长序列。kaiC基因编码区长1554bo,基因GC碱基含量平均为41．76％,密码子第三位明显偏向于U。在基因上游385bp范围内发现一个可能的启动子序列和一些基因调控元件。KaiC蛋白分析发现了Walker A、DXXG、不完整的Walker B等重要模体和具有催化作用的功能位点。Southem杂交的结果证明kaiC基因在极大节旋藻中为单拷贝。极大节旋藻kaiC基因的特殊结构特征为研究kai基因簇的进化提供了重要的启示。     

Differential MicroRNA Expression in Porcine Endometrium Related to Spontaneous Embryo Loss during Early Pregnancy

Litter size is an important indicator to measure the production capacity of commercial pigs. Spontaneous embryo loss is an essential factor in determining sow litter size. In early pregnancy, spontaneous embryo loss in porcine is as high as 20–30% during embryo implantation. However, the specific molecular mechanism underlying spontaneous embryo loss at the end of embryo implantation remains unknown. Therefore, we comprehensively used small RNA sequencing technology, bioinformatics analysis, and molecular experiments to determine the microRNA (miRNA) expression profile in the healthy and arresting embryo implantation site of porcine endometrium on day of gestation (DG) 28. A total of 464 miRNAs were identified in arresting endometrium (AE) and healthy endometrium (HE), and 139 differentially expressed miRNAs (DEMs) were screened. We combined the mRNA sequencing dataset from the SRA database to predict the target genes of these miRNAs. A quantitative real-time PCR assay identified the expression levels of miRNAs and mRNAs. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed on differentially expressed target genes of DEMs, mainly enriched in epithelial development and amino acids metabolism-related pathways. We performed fluorescence in situ hybridization (FISH) and the dual-luciferase report gene assay to confirm miRNA and predicted target gene binding. miR-205 may inhibit its expression by combining 3′-untranslated regions (3′ UTR) of tubulointerstitial nephritis antigen-like 1 (TINAGL1). The resulting inhibition of angiogenesis in the maternal endometrium ultimately leads to the formation of arresting embryos during the implantation period. This study provides a reference for the effect of miRNA on the successful implantation of pig embryos in early gestation.     

Cryogenic Exfoliation of 2D Stanene Nanosheets for Cancer Theranostics

Stanene(Sn)-based materials have been extensively applied in industrial production and daily life,but their potential biomedi-cal application remains largely un...     

基于TMP04的PIC单片机测温实现

数字化温度传感器可以直接将温度量以数字脉冲信号形式输出,具有测量精度高、抗干扰能力强、传输距离远、外围接口电路简单等诸多优点.同时数字温度传感器还可直接与微处理器进行接口,大大方便了传感器输出信号的处理.本文以PWM模式输出的TMP04型数字式温度传感器为例,介绍由PIC单片机实现的几种测温方案,并给出软件设计流程.     

4H-SiC肖特基微型同位素电池(英文)

半导体同位素电池由于其寿命长、集成性优良、环境适应性强等特点成为解决MEMS能源问题的理想手段。利用4H-SiC材料的宽禁带特性,制造了4H-SiC肖特基同位素电池。对电池的耗尽层厚度以及掺杂浓度进行了优化设计,对肖特基金属进行了选择。使用4mCi/cm2的63Ni作为同位素电池的放射源对制造的同位素电池进行了测试。测试结果表明,该同位素电池可以获得31.3nW/cm2的功率密度、0.5V的开路电压、3.13×10-8A/cm2的短路电流密度和1.3%的转换效率。将电池的输出特性和硅基的平板型、3D结构电池输出特性进行了比较,证明4H-SiC肖特基同位素电池能够获得较高的功率密度。电池的性能可通过提升势垒高度、提高工艺质量、更换同位素等方式得到提高。     

无驱动硅微机械陀螺信号解调的研究

从无驱动硅微机械陀螺的敏感结构原理出发，对它的输出信号特征进行了分析，建立了相应的数学模型，提出使用最小均方差（LMSD）的算法对输出信号进行解调。使用MATLAB的数据处理方法，对仿真转台上得到的波形数据进行数字解调，将得到的结果与实际输入相比较，结果表明采用LMSD算法能够解调出陀螺的俯仰和偏航角速度信号。     

密度泛函理论和从头计算法研究环戊二烯衍生物气态酸度及其取代基效应

用B3LYP／6-311G(2df,p)／／B3LYP／631 G*和MP2／6-311G(d,p)／／B3LYP／6-31 G*方法准确地预测了9个系列的环戊二烯衍生物(R=CN,CF3,CHO,C283,F,SiH3,H,CH3,OH,NH2)的C-H键的酸度。环戊二烯衍生物气态酸度的范围从284.9 kcal／mol (化合物5a)到357.24kcal／mol(化合物7j),分析取代基的电性、数量以及位置的影响得到了9个QSAR方程。这些数据有助于我们设计以及合成一些有机酸,并有助于深刻理解相关反应中环戊二烯衍生物的性质。     

盘管外融冰问题的数学模型及数值分析

本文分析了盘管外融冰问题并建立其数学模型;利用该模型模拟了盘管外融冰过程,并对模拟结果进行了分析。分析表明,该模型比较合理,更加接近蓄冷槽内融冰过程的实际情况;循环水量对融冰持续时间有较大影响。所得结论可为今后蓄冷系统的优化计算分析提供理论根据。     

Intelligent Video Traffic Smooth Mechanism for Multimedia Communication

A principal challenge in supporting real-time video services over ATM is the need to provide synchronous play-out in the face of stochastic end-to-end network delays. In this paper, an intelligent traffic smooth mechanism ( ITSM ) is proposed to meet the continuity requirement which is composed of a back-propagation neural network ( BPNN ) traffic predictor, a play-out buffer, and a fuzzy neural network ( FNN ) based play-out rate determinator. The BPNN traffic predictor online predicts the mean packet rate of the traffic in the future interval ( FI ) and the FNN is designed to adaptively determinate the play-out time according to the number of packets in the buffer and the traffic character predicted. Simulation results show that compared to the window mechanism, ITSM achieves high continuity with accepted delay. Furthermore, ITSM can be adaptively modified to meet the QoS of different kinds of services by FNN parameter training.