牛奶中褪黑素含量的检测方法

褪黑素作为一种多功能活性因子,在畜牧生产中具有十分重要的作用。近年来,有关天然高褪黑素奶的研究大规模开展,对奶中褪黑素含量测定需求也有所增加。目前比较常见的褪黑素检测方法有气相色谱法（GC）、气相色谱-质谱联用法（GC-MS）、高效液相色谱法（HPLC）、高效液相色谱-质谱联用法（LC-MS）、放射免疫测定法（RIA）、酶联免疫吸附测定法（ELISA）、紫外分光光度法（UV）。本文从原理、特点及优缺点等方面对这几种方法展开介绍,并对各方法的应用进行简单的比较,为后续相关研究与应用提供一定参考。     

不同粒度猫尾草对羔羊体外发酵特性和微生物数量的影响

通过Rusitec-s体外发酵系统研究不同粒度猫尾草对羔羊体外发酵参数与微生物数量的影响,选取6种不同粒度(1.00、2.36、3.35、4.75、8.00和12.50 mm)的猫尾草作为试验饲粮的纤维来源,按照猫尾草的粒度将试验分为6个处理组,每个处理4个重复,利用Rusitec-s型人工瘤胃模拟装置进行48 h体外发酵,测定养分降解率、发酵参数及发酵液中6种微生物菌群的拷贝数。结果表明：与其他处理组相比,2.36 mm组显著提高了体外中性洗涤纤维降解率(IVNDFD)、丁酸、异丁酸、戊酸、异戊酸摩尔比和溶纤维丁酸弧菌(B. f)数量(P<0.05),且显著降低总产甲烷菌(TMe)数量(P<0.05)。总菌(TB)与氨态氮(NH3-N)浓度、乙酸摩尔比呈正相关(R²=0.84,P=0.038;R²=0.88,P=0.021);B. f数量与丙酸摩尔比呈正相关(R²=0.82,P=0.045),且与pH呈负相关(R²=-0.98,P=0.001);TMe数量与体外粗蛋白质降解率(IVCP...     

陆地棉一个丝氨酸/苏氨酸激酶蛋白基因的克隆与表达分析

通过RT-PCR获得一个编码棉花丝氨酸/苏氨酸激酶类似蛋白全长的cDNA片段,其编码的氨基酸序列与拟南芥ATPK3的相似度达到82%,这个基因暂被命名为GhPK1。基因全编码区包括1038个核苷酸,编码346个氨基酸的蛋白。GhPK1的编码产物在265~270个氨基酸处有一个跨膜区并可能结合在内质网膜上。GhPK1在种子和纤维中的表达水平较其它组织高。另外,GhPK1的表达量在受到盐胁迫后上升,说明GhPK1可能参与了盐胁迫反应。     

东北刺人参种胚形态后熟过程中的解剖观察

通过对东北刺人参(Oplopanax elatus Nakai)种子后熟期间胚形态的解剖观察发现:东北刺人参果实成熟时种胚尚未分化完全,处于心形胚阶段,这是种子休眠的主要原因。种子在暖温处理过程中逐渐完成种胚的分化与生长,种子胚分化和发育的速度不一致,从而导致种子休眠程度不一致。     

Experimental Investigation on Chip-break Influenced by Cryogenical Cold Air jet

In machine cutting, the replacement of traditionalKGcutting solution with cryogenical cold air jet not only possesses a good cooling and lubricating efficiency, but also can avoid the occurrenceof environmental pollution. In order to clarify the manner and performance of discharged cutting chip under cryogenical cold air jet condition, an experiment was carried out for steel grade 45 in the dry and cryogenical cold air jet cutting comparatively. The effects of cryogenical cold air jet on the breaking of cutting chip are discussed. Experimental results reveal that, in the valid ranges of pressure and temperature, the cryogenical cold air jet can widen the chip broken region effectively. Different insufflating angle of cold air behaves different influence on the chip-break. From the experiment, it has been gained that the optimized jet insufflatingangle, temperature effecting range and pressure working range of cold air, which provides the foundation of industrial manufacturing.     

地下热水的来源与补给机制分析——以重庆北温泉为例

地下热水的来源研究对地下热水资源量评价和可持续开发利用有重要意义。选取重庆市北温泉作为研究对象,采用水化学分析、D、O同位素以及实时在线监测对其热水来源进行了研究。研究认为：重庆市北温泉泉水为中-低温浅层中性地热水,水化学类型为SO4-Ca型,地下热水的δ 18O值为-8.48‰～-7.09‰,δD值为-55.46‰～-53.26‰,其补给来源为雨水,补给高程为海拔641～1 206 m的岩溶出露区。安装马歇尔槽和CDTP300高分辨率实时在线监测发现：1)地下热水水文地球化学特征在长时间内稳定,体现了稳定的水-岩作用过程;2)北温泉的流量与研究区降雨量呈现出以半年为单位的滞后,雨季偏低,旱季偏高;当场降雨后20 d左右,温泉水的水温和电导率微降,水量增加。地下热水的来源为大气降水,其补给除了长时间长距离的含水层稳定补给外,热水上升过程中受地表水和浅层地下水的补给。     

Study of IP over WDM System Structure

WDM technology is the basis of optical network implementation. Due to eliminating SONET/SDH and ATM elements, and allowing direct connection with IP routers, IP over WDM can reduce network cost and simplify network expansion . In this thesis, the structure and protocol layers of IP over WDM are firstly explained. Then the procedures of this network are described briefly. At last, the problems and future of IP over WDM are analyzed     

Lighting Design of Chinese Traditional Buildings and Application of New Type of Little Power LED

This paper is a part of the research on the lighting techniques of the traditional Chinese buildings in Summer Palace,Beijing,which is a sub-project of the Municipal Research Project on the Correlative Techniques for Beijing's Sustainable Development(Y0604017040391).The work,which the authors took part in,on the most representative Chinese traditional buildings in Summer Palace,is taken as a case study on lighting design and lab simulated experiments and checked by practical result,illustrating a working frame for other similar lighting design works.     

Automatic Fingerprint Classification by GA-Based Neural Network

Fingerprint classification can provide an important indexing mechanism in a fingerprint database. An accurate and consistent classification can greatly reduce fingerprint matching time for large database. In the paper, by combining genetic algorithm and neural network is presented a fingerprint classification algorithm which is able to achieve an accurate classification. By inputting the global feature represented by directional image to three layer neural network trained by genetic algorithm, the fingerprints were classified into six categories: whorl, right loop, left loop, arch, double loop and undiscerning type successfully.     

Learning the BN Structure Based on the Sum of Mutual Information

The Crossing Entropy is defined to scale the similar level of two probability distribution. In many papers on learning BN structure,the Crossing Entropy was used as an indicator of measuring the learning accuracy of an algorithm.The known scoring metrics for learning BN structure is analyzed in this paper,then a new scoring metrics Sum of Mutual Information is proposed based on the information theory.At last,two algorithm for learning BN structure by SIM is represented.