S频段用于卫星导航的电磁环境研究

结合不同的信号调制方式,在满足一定伪距误差的条件下,从所需信号发射功率小和与北斗一代相互干扰小的角度论证了RNSS应用BOC（6,1）和BOC（6,2）两种调制方式的优势。并且对2 483.5~2 500 MHz频段中导航系统与其他通信系统之间的干扰作出估计,论证了GNSS系统与其他无线电业务的兼容性。     

THE BEGINNING OF THE USING OF ZINC IN CHINA.

In my work, Lapidarium Sinicum, the chapter on brass is speciallydevoted to this inquiry. Recently Dr. Read of the U. S. Bureau of Mineswrote to Dr. Ting, suggesting the question whether "The knowledge ofzinc-smelting in India is previous to that developed in China." Therefore     

用波速层析成像方法提高储层横向预测精度

以数值模拟方法为基础,考察了反射地震层析成像技术对油气储层波速横向检测的效果,然后用渤海油田的地震资料进行了实用试验．对数值模拟结果和实际数据的试验结果进行了分析与评价,认为油气勘探中的反射地震资料具有地震射线近似垂直分布的特点,适合用反射地震层析成像技术进行目标层横向非均匀性检测．     

三峡某地区已治理高边坡安全评估工作的启示

通过对三峡某地区已治理高边坡防护工程进行安全评估,发现由于土压力作用、填土不均匀沉降、渗流潜蚀作用等引起部分防护工程出现不同程度的变形破坏。变形破坏产生的根本原因在于防护工程存在设计缺陷、施工质量没有保证及后期疏于维护管理等方面。由于这部分高边坡工程当时属于应急治理,没有统一的技术标准,引起的设计、施工和后期管理方面的问题在三峡库区具有普遍性。经过此次安全评估工作后,应对评估为不同安全等级的防护工程分类采取相应措施。不安全和局部不安全项目要严格按照国家有关标准实施彻底整改;基本安全项目和安全项目要进行定期巡查,以便及时发现隐患。另外,高边坡治理工程后期维护的好坏对于能否充分发挥防护效益至关重要,要改变以往重治理、轻维护的管理模式,切实做好防护工程的后期维护管理,确保防护工程及防护对象的安全。     

噻唑烷酸对肝组织GSH含量的影响及其作用机制的研究

建立丁胱亚磺酰亚胺(L-Buthionine Sulfoximine,BSO)排空小鼠肝组织谷胱甘肽(Glutathione,GSH)模型,研究噻唑烷酸(N-acetyl-glucosamine-thiazolidine-4(R)-carboxylic acid,GlcNAcCys)提高肝组织GSH含量,保护肝脏免受外源性毒物、药物损伤的可能机制。正常对照组小鼠腹腔注射生理盐水,BSO组及GlcNAcCys不同剂量组小鼠注射BSO(6mmol/kg体质量,i.p.)。2 h后,正常对照组和BSO组注射生理盐水,GlcNAcCys低、中、高剂量组分别注射不同剂量的GlcNAcCys(200、4009、00 mg/kg体质量)。6 h后,用Ellman’s法测定肝匀浆总巯基(Total Sulfhydryl,T-SH)含量;荧光分光光度法测定GSH含量;用试剂盒检测肝匀浆中谷胱甘肽还原酶(Glutathione Reductase,GR)和谷胱甘肽-S转移酶(Glutathione S-transferase,GST)活性;RT-PCR法检测谷氨酰半胱氨酸连接酶催化亚基(Glutamyl-L-cysteine Ligase,GCL)基因表达。GlcNAcCys能够提高肝匀浆中T-SH和GSH含量,增强抗氧化酶GR、GST活性,RT-PCR结果显示,GlcNAcCys能够诱导GCL mRNA的表达。GlcNAcCys能够提高肝组织T-SH、GSH的含量,增强GST、GR酶活力,增强肝脏的解毒功能,保护肝脏免受毒性中间代谢物的损伤。GlcNAcCys提高肝组织T-SH、GSH含量的机制与其诱导GCLmRNA的表达有关。     

Metabolomics analysis for skin ulceration syndrome of Apostichopus ja ponicus based on UPLC/Q-TOF MS

Skin ulceration syndrome (SUS) is the main diseases affected the development of sea cucumber ( Apostichopus japonicus ) culture industries. To better observe th...     

Molecular characterization and expression of the SiUCP2 gene in sea urchin Strongylocentrotus intermedius

Uncoupling protein 2 (UCP2) is a proton transporter located in the inner mitochondrial membrane, and inhibits the formation of adenosine triphosphate and reacti...     

Comparative study of otolith and sulcus morphology for stock discrimination of yellow drum along the Chinese coast

Otolith morphology is widely used for fish stock identification. The sulcus, a structure on the medial side of the otolith, is an important feature in morphological analysis. This study was conducted to evaluate the feasibility of using sulcus morphology for stock identification and to compare its performance with commonly used otolith morphology analysis. Otoliths were collected and analyzed from three geographical groups (the Huanghe (Yellow) River estuary, HHE;the Jiaozhou Bay, JZB;and the Changjiang (Yangtze) River estuary, CJE) of yellow drum Nibea albiflora. The results show that the analysis of sulcus morphology based on shape indices (SIs), elliptic Fourier coefficients (EFc), and a combination of the two parameters identified stocks at overall classification rates of 51.0%, 72.5%, and 73.2%, respectively. These classification rates are similar to those obtained using otolith morphology analysis (57.0%, 73.8%, and 76.5% by SIs, EFc, and their combination, respectively). The findings suggest that sulcus morphology is comparable to the commonly used otolith morphology for identifying stocks of sciaenids, such as the yellow drum. For both otolith and sulcus morphology, EFc could identify the stocks more efficiently than SIs, while the combination of SIs and EFc was even better.     

Evaluation of Inference Adequacy in Cumulative Logistic Regression Models: An Empirical Validation of ISWRidge Relationships

Internal solitary wave propagation over a submarine ridge results in energy dissipation, in which the hydrodynamic interaction between a wave and ridge affects marine environment. This study analyzes the effects of ridge height and potential energy during wave-ridge interaction with a binary and cumulative logistic regression model. In testing the Global Null Hypothesis, all values are p 〈0.001, with three statistical methods, such as Likelihood Ratio, Score, and Wald. While comparing with two kinds of models, tests values obtained by cumulative logistic regression models are better than those by binary logistic regression models. Although this study employed cumulative logistic regression model, three probability functions p^1, p^2 and p^3, are utilized for investigating the weighted influence of factors on wave reflection. Deviance and Pearson tests are applied to cheek the goodness-of-fit of the proposed model. The analytical results demonstrated that both ridge height （X1 ） and potential energy （X2 ） significantly impact （p 〈 0. 0001 ） the amplitude-based refleeted rate; the P-values for the deviance and Pearson are all 〉 0.05 （0.2839, 0.3438, respectively）. That is, the goodness-of-fit between ridge height （ X1 ） and potential energy （X2） can further predict parameters under the scenario of the best parsimonious model. Investigation of 6 predictive powers （ R2, Max-rescaled R^2, Sorners＇ D, Gamma, Tau-a, and c, respectively） indicate that these predictive estimates of the proposed model have better predictive ability than ridge height alone, and are very similar to the interaction of ridge height and potential energy. It can be concluded that the goodness-of-fit and prediction ability of the cumulative logistic regression model are better than that of the binary logistic regression model.