Fatigue life estimation of non‐penetrated butt weldments in ligth metals by artificial neural network approach

This study presents a model for estimating the fatigue life of magnesium and aluminium non‐penetrated butt‐welded joints using Artificial Neural Network (ANN). The input parameters for the network are stress concentration factor K_t and nominal stress amplitude s_a,n. The output parameter is the endurable number of load cycles N. Fatigue data were collected from the literature from three different sources. The experimental tests, on which the fatigue data are based, were carried out at the Fraunhofer Institute for Structural Durability and System Reliability (LBF), Darmstadt – Germany. The results determined with use of artificial neural network for welded magnesium and aluminium joints are displayed in the same scatter bands of SN‐lines. It is observed that the trained results are in good agreement with the tested data and artificial neural network is applicable for estimating the SN‐lines for non‐penetrated welded magnesium and aluminium joints under cyclic loading.     

Degradation of styrene by a new isolatePseudomonas putida SN1

Twelve styrene-utilizing bacteria were isolated from a biofilter used for treating gaseous styrene. A gramnegative strain had a high styrene-degrading activity and was identified as Pseudomonas putida SN1 by 16S rDNA analysis. The styrene degradation in SN1 was regarded to start with a monooxygenase enzyme which converted styrene to styrene oxide, a potentially important chiral building block in organic synthesis. SN1 could grow on styrene and styrene oxide, but not on benzene and toluene. The styrene degradation activity in SN1 was induced when incubated with styrene, and the induction was not inhibited by the presence of readily usable carbon sources such as glucose and citrate. The optimal activity was shown at pH 7.0 and 30 °C and estimated as 170 unit/g cell.     

基于Web Service的软件注册方法的设计和实现

本文介绍了使用Web Service技术来实现软件注册的一种方法，可以严格控制一个授权的SN只能在一台机器上使用。     

SN型活性染料性能与其结构关系的研究染料的颜色深浅与其结构关系的研究

合成了系列ＳＮ型活性染料，并研究了其颜色深浅与其结构的关系，结果表明：ＳＮ型活性偶氮染料的颜色深浅受电子效应和空间效应的影响；受电子体的吸电子能力增强，导致吸收光谱产生深色位移，空间障碍使吸收光谱产生浅色位移。     

Nanocarrier-Based Delivery of SN22 as a Tocopheryl Oxamate Prodrug Achieves Rapid Tumor Regression and Extends Survival in High-Risk Neuroblastoma Models

Despite the use of intensive multimodality therapy, the majority of high-risk neuroblastoma (NB) patients do not survive. Without significant improvements in delivery strategies, anticancer agents used as a first-line treatment for high-risk tumors often fail to provide clinically meaningful results in the settings of disseminated, recurrent, or refractory disease. By enhancing pharmacological selectivity, favorably shifting biodistribution, strengthening tumor cell killing potency, and overcoming drug resistance, nanocarrier-mediated delivery of topoisomerase I inhibitors of the camptothecin family has the potential to dramatically improve treatment efficacy and minimize side effects. In this study, a structurally enhanced camptothecin analog, SN22, reversibly coupled with a redox-silent tocol derivative (tocopheryl oxamate) to allow its optimally stable encapsulation and controlled release from PEGylated sub-100 nm nanoparticles (NP), exhibited strong NB cell growth inhibitory activity, translating into rapid regression and durably suppressed regrowth of orthotopic, MYCN-amplified NB tumors. The robust antitumor effects and markedly extended survival achieved in preclinical models recapitulating different phases of high-risk disease (at diagnosis vs. at relapse with an acquired loss of p53 function after intensive multiagent chemotherapy) demonstrate remarkable potential of SN22 delivered in the form of a hydrolytically cleavable superhydrophobic prodrug encapsulated in biodegradable nanocarriers as an experimental strategy for treating refractory solid tumors in high-risk cancer patients.     

SN388仪数据传输技术

数据传输技术是衡量有线遥测地震数据采集系统的一项重要指标。ＳＮ３８８以其独有的８．９６ＭＢ／ｓ数传速率而领先于其它同类产品。但ＳＮ３８８数据传输技术一直被ＳＥＲＣＥＬ公司视为其核心机密,现有的ＳＮ３８８数传技术文件以早期ＳＮ３６８理论为基础,显得十分简单粗糙。     

基于小波阈值去噪方法的一种改进方案

在D．L．Dohono和I．M．Johnstone提出的多分辨分析小波阚值去噪方法的基础上，提出了一种新的阈值函数。仿真试验结果表明，采用新的阈值函数的去噪效果无论在视觉效果上，还是在信噪比增益上和最小均方误差意义上均优于传统的硬阈值和软阚值。并且，与传统的硬阚值和软阈值相比．此函数不仅表达式简单，易于计算，而且具有优越的数学特性：易于求导，有连续的无穷阶导数。因此新阈值函数的更重要的意义在于使信号的自适应去噪成为可能，为更充分的发挥小波阈值去噪方法的优越性开辟了广阔的前景。     

基于Super-Peer架构的信息查询算法研究

本文介绍了传统P2P的基本结构,比较了其优点和不足,阐述了移动Agent的基本特性。在Super-Peer架构的P2P网络模型基础上提出了一种基于移动Agent的信息查询算法,并利用时延阀值控制整个算法,从而提高了查询效率。     

DTPA-2SN的合成及其99Tcm标记

合成了DTPA-2SN（二乙烯三胺二乙酰二磺胺），并对其化学结构进行了鉴定；制备了DTPA双酸酐（DTPAA），通过DTPAA与磺胺反应合成DTPA-2SN，并对其进行了99Tcm标记。采用n(K222):n( K2CO3)薄层层析法测定标记率，Sep-Pak C18小柱纯化，鉴定放化纯度。并观察其体外稳定性。结果显示DTPAA产率为85%，DTPA-2SN的产率为80%，二者经鉴定与其化学结构式相符。DTPA-2SN易于被99Tcm标记，标记率可达90%±3%。连续观察4h 99Tcm-DTPA-2SN放化纯度均大于90%，稳定性良好。