NO的多光子电离谱及跃迁通道的研究

本文对中间共振能级为A~2∑~+、F~2⊿、H~2∑和H’~3H态的NO四光子电离谱作了转动谱线标识及研究.提出了双共振及碰撞电离模型,以解释实验中出现的强度反常谱线.     

度量空间的序列覆盖cs-π映象

给出了度量空间的1-序列覆盖、cs-π映象,2-序列覆盖、cs-π映象和子序列覆盖、cs-π映象的内在刻画.同时得到了度量空间的商cs-π映象的内在特征.     

Effect of disorder on hyperbolic metamaterials

Based on a modified retrieving method, we demonstrate that hyperbolic metamaterials(HMs) have considerable robustness against disorders, even when the disorder strength is quite large. Our retrieval method is more precise when retrieving the parameters for anisotropic metamaterials. We also show that the light’s negative refraction of an HM is nearly unaffected when relatively large disorders exist. These results help us to understand the HMs and they have a direct significance for experiments.     

基于宿主细胞中磷脂“自然嵌合”的杆状病毒叶酸修饰

正杆状病毒是节肢动物特异性的DNA病毒,具有载体容量大、增殖滴度高、易于大量扩增且对脊椎动物无致病性等优点,在新型基因载体及疫苗开发等方面具有广阔的应用前景[1,2].然而,杆状病毒缺乏对脊椎动物细胞的靶向性,因此有必要对杆状病毒进行修饰[3~5].叶酸(FA)是一种人体必需的维生素,具有分子量小、稳定性好、无免疫原性及易于与其它载体或药物键合等优点.由于叶酸受体在多种肿瘤细胞中过度表达,叶酸已成为一种常见的通用型肿瘤靶向分子[6~9].本文采用宿主细胞中磷脂"自     

局部可分度量空间的伪序列覆盖映射

指出了文[1]中的一个问题,并给出了局部可分度量空间的伪序列覆盖s映象和局部可分度量空间的伪序列覆盖紧映象的刻划。     

有机硼酸盐的化学 Ⅲ.三烷基炔基硼酸锂与CO_2反应中烷基转移的难易顺序及反应温度的影响

我们曾报道在合适的条件下三烷基炔基硼酸锂可以与CO_2反应,当亲电试剂CO_2进攻三烷基炔基硼酸锂中炔基上的β-碳原子时,硼原子上的一个烷基即向炔基的α-碳上转移.而且转移烷基在反应前后其构型保持不变.反应式为     

基于宿主细胞中磷脂“自然嵌合”的杆状病毒叶酸修饰

Baculovirus has the advantages such as outstanding biosafety, large cloning capacity and non-replication in the transduced cells. However, their in vivo applications are hampered for lacking of specificity. Therefore, modification of baculovirus with targeting molecules is urgently needed. Herein, a method is proposed for the modification of folic acid(FA) on baculovirus based on phospho-lipids self-insertionin host cells. Immunofluorescent colocalization and transmission electron microscope(TEM) results showed that the modified baculovirus kept their integrity while maintaining their infectivity. Thus the method offers opportunities for the development of tumor-targeting gene vectors and vaccines.     

基于用户相似度的加权项目偏差SlopeOne协同过滤推荐算法

协同过滤算法旨在从海量的历史数据中,挖掘出拥有共同经验的用户群体的行为习惯,以此来协助对目标用户的个性化偏好作出合理的预测。根据这些预测结果,对目标用户进行有针对性的产品或资讯推荐,这对商家来说具有重大的意义和价值。传统的SlopeOne协同过滤推荐算法虽然实现简单,运行效率高,但其准确率不高。为了进一步提高预测结果的准确率,同时又尽可能的保留原算法所具有的效率优势,提出了基于用户相似度的加权项目偏差计算方法,优化了项目之间偏差性的衡量尺度,从而得到基于用户相似度的加权项目偏差SlopeOne协同过滤推荐算法(WID_SlopeOne_US)。大量实验证明,新算法具有更高的准确率、较高的效率、和良好的稳定性等优点。