Breeding-site productivity of the swamp forest mosquitoes Mansonia bonneae and Ma.dives in Sarawak, East Malaysia

Studies on larval population densities and adult emergence rates of the Brugian filariasis vectors Mansonia bonneae Edwards and Ma. dives Schiner were conducted in freshwater swamp forest bordering the Sadong River, Serian District, Sarawak, East Malaysia, during 1984-85. Three species of aquatic host-plants in the Family Araceae were identified as supporting immature stages of the Ma. bonneae/dives complex. Proportions of positive plants were 4.7%, 6.5% and 3.4% with 6.4 +/- 2.6, 7.3 +/- 2.8 and 10.1 +/- 1.1 larvae per positive plant, respectively, for the plant species Homalomena cordata Schott, H. rostrata Griffiths and Hydrostemma motleyi (Hook. f.) Mabberley. These data indicate no significant preferences between the three types of host-plant. Detailed monitoring of the host-plant H. cordata revealed no significant monthly fluctuations in larval density per plant nor the proportion of positive plants. 11.6% of larvae were Ma. dives and 88.4% were Ma. bonneae. Mean daily yields of Ma. bonneae/dives adults per square metre of H. cordata vegetated water surface were 0.45 males plus 0.57 females during the wet season (December-February) compared with 0.2 males plus 0.31 females during the dry season (June-August). Thus output of adults per plant was approximately halved, and suitable breeding areas were further reduced, during the dry season. By extrapolation from these rates, a crude mean estimate for productivity of Ma. bonneae/dives females is 1.6 million per hectare per annum in swamp forest habitats vegetated with any of the host-plants studied.     

A study on giant panda recognition based on images of a large proportion of captive pandas

1. As a highly endangered species, the giant panda (panda) has attracted significant attention in the past decades. Considerable efforts have been put on panda conservation and reproduction, offering the promising outcome of maintaining the population size of pandas. To evaluate the effectiveness of conservation and management strategies, recognizing individual pandas is critical. However, it remains a challenging task because the existing methods, such as traditional tracking method, discrimination method based on footprint identification, and molecular biology method, are invasive, inaccurate, expensive, or challenging to perform. The advances of imaging technologies have led to the wide applications of digital images and videos in panda conservation and management, which makes it possible for individual panda recognition in a noninvasive manner by using image‐based panda face recognition method.
2. In recent years, deep learning has achieved great success in the field of computer vision and pattern recognition. For panda face recognition, a fully automatic deep learning algorithm which consists of a sequence of deep neural networks (DNNs) used for panda face detection, segmentation, alignment, and identity prediction is developed in this study. To develop and evaluate the algorithm, the largest panda image dataset containing 6,441 images from 218 different pandas, which is 39.78% of captive pandas in the world, is established.
3. The algorithm achieved 96.27% accuracy in panda recognition and 100% accuracy in detection.
4. This study shows that panda faces can be used for panda recognition. It enables the use of the cameras installed in their habitat for monitoring their population and behavior. This noninvasive approach is much more cost‐effective than the approaches used in the previous panda surveys.

     

Mass Collaboration in Earthquake Risk Management

The mechanism of mass collaboration in risk management was studied during the Sichuan earthquake under a Web-based “PeopleFinder” project, where information is contributed and shared among mass contributors. The case study is provided by a great earthquake that happened in Wenchuan County, Sichuan Province, of southwestern China at 2:28 p.m. on May 12, 2008. We witnessed and experienced the rescue and relief efforts for the great earthquake. In this article, two fundamental frameworks are developed to study the mechanism of mass collaboration. Mass collaboration is proven to be effective in a big public crisis such as the Sichuan earthquake.     

On the classification of Calligonum juochiangense and C. pumilum (Polygonaceae)

After observing specimens of Calligonum pumilum Losinsk. and C. juochiangense Y. X. Liou in both the field and in herbarium collections, it was found that the morphological characters of these two species are quite different, especially with respect of the twisted direction of fruit ribs, number of bristle rows along each rib, rigidity and degree of interweaving of bristles, as well as their geographic distribution. Therefore, it is concluded that C. pumilum and C. juochiangense should be accepted as two independent species.     

H.pylori可塑区tfs3a分泌系统virB2基因功能

目的对virB2基因编码蛋白进行分析,为virB2基因及其编码蛋白功能提供实验依据。方法利用多种生物学软件以及网站对VirB2蛋白的结构和功能进行分析预测,VirB2蛋白序列通过基因推导获得并由生物公司合成,然后通过免疫动物实验制备鼠抗VirB2蛋白多克隆抗体,同时设计进行VirB2蛋白细胞毒试验(MTT法)。结果virB2基因编码蛋白属于疏水性蛋白,为鞭毛样结构,有较强的细胞毒作用。结论对VirB2蛋白的结构和功能进行了分析预测,证明VirB2蛋白在H.pylori相关的致病性特别是引起胃黏膜炎症方面起到一定的作用,能够为研究H.pylori致病机制提供帮助。     

蜚蠊灭菌肽的诱导及初步分离分析

昆虫经诱导盾产生灭菌肽的研究近年来已有很大进展,有关这方面的研究工作绝大多数都是以有翅亚纲内生翅类鳞翅目(主要是蚕类)昆虫和少数双翅目昆虫为材料.本文首次以有翅亚纲外生翅类蜚蠊目的美洲蜚蠊(Ptriplaneta americana L.)为实验昆虫,用Escherichia coil K₁₂ strain D₃₁作诱导源,对不同发育期、不同性别、不同成虫期的蜚蠊进行诱导后,采用含菌培养基平板测活方法,就存在个体数及能产生抗菌物质的个体数进行了初步的研究.发现成虫日龄在10天之内的雄性蜚蠊能够产生抗菌物质的个体百分比最高.抗菌物质出现的高峰期是在诱导后第三、四天.用滴滴涕和溴氰菊酯作诱导源对雄性蜚蠊的诱导实验表明,杀虫剂也能诱导蜚蠊产生抗菌物质,而且所诱导产生抗菌物质的活性强度(用抑菌圈直径表示)高于大肠杆菌所诱导的.滴滴涕和溴氰菊酯的重复诱导可提高蜚蠊产生抗菌物质个体百分比.蜚蠊经诱导后产生的抗菌物质具有广谱性,对苏云金杆菌、金黄色葡萄球菌、枯草杆菌及绿脓杆菌等有较强的抗菌活性,而对大肠杆菌D₃₁、大肠杆菌、粘质沙雷氏杆菌和溶壁微球菌等有较弱的抗菌活性.用肽类物质的指纹图谱法分离蜚蠊血淋巴抗菌物质,发现经诱导后血淋巴中确有新的肽类物质产生,该物质具抗菌活性,用DABITC法分析,其N-末端氨基酸为赖氨酸.     

罗汉果组培苗的栽培研究

本文报道罗汉果组培苗的栽培研究结果,为罗汉果在生产上推广应用组培苗栽培,提供有效的技术措施。     

意蜂和中蜂四种同工酶的研究

用聚丙烯酰胺凝胶等电聚焦电泳分析了意蜂和中蜂的酯酶(Est)、异柠檬酸脱氢酶(Idh)、苹果酸酶(Me)和苹果酸脱氢酶(Mdh)同工酶.两个蜂种的四种同工酶谱有不同程度的差别、意蜂酯酶Ⅳ和苹果酸脱氢酶Ⅲ是多态性的;中蜂的四种同工酶没有多态现象.