治疗图书馆顽症:流程重组

本文将流程重组理论引入图书馆管理，分析了图书馆流程重组的必要性，同时具体阐述了图书馆流程重组的三种方式。     

服务营销理念在图书馆中的应用

通过学习借鉴先进企业的先进服务营销理念,从而更新了图书馆工作人员的传统服务理念,提高了图书馆的服务质量和服务方式;提出了图书馆的服务创新策略,推动了图书馆服务工作的发展。     

复合图书馆的信息服务探讨

复合图书馆作为图书馆的一种发展形态，有其自身的特点和要求，有许多值得研究的内容。复合图书馆的读者服务工作是图书馆工作的出发点和各项业务工作的最终价值体现。文章分析了目前图书馆读者服务工作面临的形势，探讨了我们应采取的措施。     

对农业推广的信息服务

本文论述了农业信息服务与农业推广的相互关系，分析了图书馆在农业推广的农业信息服务工作中的作用和功能，并提出了相关的一些构想。     

图书馆业务外包的实施策略

业务外包是一种新型的图书馆管理方法。本文介绍了图书馆业务外包的概念、内容、作用，探讨了实施图书馆业务外包的相应策略。     

表达序列标签（ESTs）及其应用

表达序列标签(ESTs)是指从(ESTcDNA文库中随机挑取克隆并对其3’或5’端进行单轮自动测序所获得的短cDNA库列，一般长度为300～500bp。要有效获取ESTs，必须对cDNA文库进行预处理，处理方法有衰减杂交法、均一化法和差异显示法。在dbEST中收录了大量各种生物的ESTs。ESTs广泛应用于鉴定基因、发现新基因、电子克隆、构建遗传学图谱、制备DNA芯片、分子标记、研究基因的差异表达及检验病原微生物等方面。     

高校图书馆消防安全系统的新木桶模型

从历次惨痛的图书馆火灾事故中,探究图书馆火灾发生的原因。在此基础上,引入新木桶理论,探索建立适合图书馆消防安全的安全木桶模型,从安全系统的人、物、环境这3个安全指标,人力、技术、财力的保障,安全管理和安全责任几个方面讨论了安全木桶的适用性,并针对所在图书馆的安全系统提出了相应的建议。     

Expression of a recombinant crustacean hyperglycemic hormone of the kuruma prawn Penaeus japonicus in methylotrophic yeast Pichia pastoris

ABSTRACT:   Until now, six crustacean hyperglycemic hormones (CHH) designated Pej-SGP-I, -II, -III, -V, -VI and -VII have been characterized in the kuruma prawn Penaeus japonicus . All CHH consist of 72 amino acid residues and have an amidated carboxyl (C)-terminus. In the present study, we expressed Pej-SGP-III in methylotrophic yeast Pichia pastoris in order to obtain a large quantity of recombinant CHH possessing biological activity. A cDNA encoding Pej-SGP-III that had been previously cloned was processed by polymerase chain reaction (PCR) and the resulting product was ligated into an expression vector. Pichia pastoris was transformed with this vector after which a recombinant Pej-SGP-III was expressed having an additional amino acid residue (glycine) at the C-terminus (rPej-SGP-III-Gly), a form considered to be a putative precursor of this hormone. rPej-SGP-III-Gly secreted into the culture medium was purified by reversed-phase HPLC, and amidated using a peptidylglycine alpha-amidating enzyme. The amidated rPej-SGP-III (rPej-SGP-III) showed hyperglycemic activity in in vivo bioassay almost comparable to that of the natural Pej-SGP-III. rPej-SGP-III thus obtained will be a useful tool not only for its physiological study but also for the determination of its 3-D structure.     

Biosynthesis of Depsipeptide Mycotoxins in Fusarium

The cyclic hexadepsipeptide enniatin is known as a phytopathogenic compound from Fusaria causing necrosis and wilt. The molecule consists of three alternating residues each of a branched chain amino acid and D-hydroxyisovaleric acid (D-Hiv). Enniatins are synthesized by a 347kDa multienzyme (enniatin synthetase) via a thiol template mechanism. The corresponding gene esyn1 has an open reading frame of 9393 nucleotides and harbours two modules, one responsible for D-hydroxy acid activation and one for L-amino acid activation with an integrated N-methyltransferase domain. Such methyltransferases build an homologous group among N-methyl peptide synthetases. Enniatins are synthesized by step-wise condensation of dipeptidol building blocks in an iterative manner resembling fatty acid synthesis. A key enzyme in enniatin biosynthesis is the NADPH-dependent D-2-hydroxyisovalerate dehydrogenase, that supplies enniatin synthetase with D-Hiv. Enniatins contribute to the wilt toxic character of Fusaria. Virulence was significantly reduced in F. avenaceum after disruption of the esyn1 gene.     

基于NGO-CNN-SVM的高标准农田灌溉工程施工成本预测

为提高高标准农田项目施工成本的预测精度,控制施工成本在合理范围,减少投资风险,该研究从单体灌溉工程施工成本预测角度出发,通过随机森林（random forest,RF）筛选出高标准农田灌溉工程施工成本的关键影响因素,结合卷积神经网络（convolutional neural networks,CNN）和支持向量机（support vector machine,SVM）两种模型的优点,通过北方苍鹰优化算法（northern goshawk optimization,NGO）对模型里的惩罚因子和核参数进行寻优,构建基于NGO-CNN-SVM的施工成本预测模型。通过辽宁省2018—2023年高标准农田工程中灌溉工程的施工成本数据,选取样本决定系数R²、平均绝对误差MAE、平均绝对百分比误差MAPE和均方根误差RMSE作为精度指标进行分析,结果表明：基于NGO-CNN-SVM的施工成本预测模型在渠道工程中MAE低于0.615万元,RMSE低于0.512万元,R²达到0.968以上,相对误差小于4.210%;在进水闸工程中MAE低于0.610万元,RMSE低于0.536万元,R²达到0.966以上,相对误差小于4.410%;在桥涵工程中MAE低于0.494万元,RMSE低于0.477万元,R²达到0.970以上,相对误差小于3.548%,并相比较于反向传播神经网络,CNN和CNN-SVM模型,NGO-CNN-SVM模型的预测结果均最优。通过特征选择、模型融合、算法优化以及不同模型对比表明NGO-CNN-SVM模型具有更高的预测准确率和泛化性,可为高标准农田灌溉工程施工成本预测提供理论依据。