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Search Results: 1 - 10 of 46199 matches for " HUANG Man-Rong "
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Noteworthy species of Stereocaulon from China

HUANG Man-Rong,

菌物学报 , 2008,
Abstract: Stereocaulon incrustatum, a new record in China, and St. massartianum and St. sorediiferum have several special chemical races, and the absence of atranorin in the genus is reported for the first time.Investigation results show that chemistry is not very important in taxonomy of the genus. Evolutionally, the cephalodia of St. incrustatum are possibly a transition characteristic from poorly developed cortex to protosacculate cephalodia.
蜈蚣衣科SSU rDNA中I型内含子的初步研究

Zhou Qi-ming,Huang Man-rong,Wei Jiang-chun,

菌物学报 , 2004,
Abstract: 本文结合来自GenBank中的地衣型真菌SSU rDNA中Ⅰ型内含子的相关信息,对取自蜈蚣衣属(Physcia)两个种——斑面蜈蚣衣(Physcia aipolia)、蜈蚣衣(Physcia stellaris),和黑蜈蚣衣属(Phaeophyscia)一个种——毛边黑蜈蚣衣(Phaeophyscia hispidula)共10个样品的SSU rDNA中Ⅰ型内含子的分布模式进行了研究。结果表明,在这些地衣型真菌的SSU rDNA中具有多个Ⅰ型内含子;而内含子插入位点的分布并不具有种的特异性和地理特异性。这种分布模式暗示这些Ⅰ型内含子仍然处于“插入-删除”的平衡状态,而且在此过程中,有性生殖可能比基因的水平转移发挥了更重要的作用。
An analysis on the altitudinal patterns of Peltigera in China

LIU Hua-Jie,HUANG Man-Rong,WU Qing-Feng,LI Hong-Mei,

菌物学报 , 2011,
Abstract: 海拔是地衣多样性的重要影响因素。了解地衣的海拔分布格局是地衣多样性保护的基础。研究表明中国地卷属地衣的物种丰富度和个体丰富度沿海拔梯度呈单峰曲线,它们倾向于分布在受全球变暖影响较高的高海拔地区(2,022±995)m],且具有较窄的海拔分布幅(约68%的物种分布于海拔为1,694-2,954m的地带),因而对其进行保护生物学的研究已十分迫切。地卷属11种地衣具有不同的海拔分布规律,这些分布规律与各自分布的海拔区间有关。基于11物种的海拔分析支持Rapoport法则。全球暖化对4种地衣的潜在威胁尤其强烈,即:大陆地卷Peltigera continentalis、长孢地卷P. dolichospora、克氏地卷P. kristinssonii和小地卷P. venosa。
Growth Rate of Usnea aurantiacoatra (Jacq.) Bory on Fildes Peninsula, Antarctica and Its Climatic Background
Ying Li, Bernd Kromer, Gerd Schukraft, Olaf Bubenzer, Man-Rong Huang, Ze-Min Wang, Lin-Gen Bian, Cheng-Sen Li
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0100735
Abstract: The ages of a fruticose lichen of Usnea aurantiacoatra (Jacq.) Bory, from Fildes Peninsula, King George Island, Southwest Antarctic, were determined by radiocarbon (14C), and it is 1993–1996 at bottom and 2006–2007 at top of the lichen branch. The growth rates of U. aurantiacoatra calculated are 4.3 to 5.5 mm year?1 based on its length and ages. The comparisons show that the growth rates of U. aurantiacoatra are higher than those of U. antarctica (0.4 to 1.1 mm year?1). The growth rates of fruticose lichens are always higher, usually >2 mm year?1, than those of crustose ones, usually <1 mm year?1, in polar areas. A warming trend on Fildes Peninsula is recorded in the period from 1969 to 2010 obviously: the mean annual temperature rose from ?2.75 to ?1.9°C and the average temperature of summer months from 0.95 to 1.4°C, as well as the average temperature of winter months from ?6.75 to ?5.5°C. The alteration of lichen growth rates in polar areas may respond to the climatic and environmental changes, and the lichens may act as bio-monitor of natural condition.
Altitudinal patterns of the lichen genus Cladonia (Lichenized Ascomycota) in China

GUO Shou-Yu,DENG Hong,BI Hai-Yan,XIA Xiao-Fei,HUANG Man-Rong,

菌物学报 , 2013,
Abstract: Altitudinal patterns of the lichen genus Cladonia and 18 species in the genus were investigated based on herbarium collections. Species in the genus are inclined to grow at high elevation. Normal and lognormal probability patterns are ubiquitous for vertical distribution of these species, and vertical patterns are somewhat elevation-dependent. The altitudinal ranges of the species were found to decrease with increase of altitude. These evidences suggest an immediate threat from global warming to some species growing at higher elevation in the genus. Ecological evidence also confirms C. bacillaris and C. macilenta are conspecific.
Design Considerations of Self-Adaptive Wireless M2M Network Communication Architecture
Xiao-jun Chen,Jia Ke,Yong-zhao Zhan,Man-rong Wang,Ge Deng
International Journal of Distributed Sensor Networks , 2013, DOI: 10.1155/2013/979546
Abstract: For the existing heterogeneous wireless M2M network architectures, different data link layers lack a common structure. In this paper, the concept of attribute assembly layer has been proposed, and an adaptive architecture for wireless M2M network has been built, based on the hierarchical heterogeneous modeling of Ptolemy II. Finally, saturated and unsaturated conditions network experiments have been designed in the part of system test. Experimental results show that this architecture has a low memory occupation and less time cost. It unifies the data link layers for heterogeneous networks and is compatible well with the existing platforms, communication protocols, and network mechanisms. The self-adaptive network has more connected sets. The proposed architecture has good adaptive capacity and it can apply to potential communication protocols. 1. Introduction With the rapid development of wireless communication technology and wireless M2M networks, there emerge lots of typical wireless communication technologies, mainly including 3G [1] based wireless WAN, IEEE802.16 [2] based wireless MAN [3], IEEE802.11 [4] based wireless LAN [5], wireless PAN based on IEEE802.15 [6] and blue tooth technique [7], ad hoc networks [8], sensor networks [9], wireless mesh networks [10], NGEO satellite mobile communications [11], and vehicle area networks [12]. For the diversity of existing wireless communication technology, applications and protocols of the wireless network would run over different link layers and data transferring also cannot depend on the same link-layer mechanism. Therefore, we need to consider, over the existing communication protocol architecture for wireless M2M network, if there is a mechanism independent of link layers to develop applications and protocols. Communication protocol architecture with common operability has a good code reuse and it can meet the needs of compatibility, interoperability, and scalability for the link layer. Thus, such architecture has a great advantage in the development for wireless M2M network. Many organizations associated with M2M network have put forward various communication protocol architectures for heterogeneous networks. For instance, for the heterogeneous network composed of UMTS and WLAN, the European Telecommunication Standards Institute has defined two kinds of fusion structure, namely, the loosely coupled one [13] and the tightly coupled one [14]. The loosely coupled structure is a research focus at present [15], while the tightly coupled one is rarely applied in actual projects, which is due to the high

ZHONG Xing,WANG Yu-xin,WANG Shi-chang,JIN Man-rong,

高分子学报 , 1994,
Abstract: ffect of pressure on the swelling of three different tffoperature-sensitivegels was studied. The gels used were polyp - isopropylacrylamide) (I,NIPA), pci Y (N-n - propylacrylamide) (PNNPA) and poly (N, N - dirthylacrylamide)(PNDEA). It was found that both PNNPA gel and PNDEA gel are pressure sensi tive, as PNIPA gel is, in a SPedal ration of tffeperature, and that this phenomenon is caused by the variation of their volume phase transition tffeperatllre withpressure.
Detection of complexity video event based on hypergraph model

KE Ji,ZHAN Yong-zhao,CHEN Xiao-jun,WANG Man-rong,
柯 佳

计算机应用研究 , 2012,
Abstract: In recent years, semantic event analysis is more and more attention. To researchers, semantic event detection and recognition is a challenging area. This paper presented a method for detection of complex video event based on hypergraph model, which could analyze the trajectory of the object for detecting sub-events, built a timing diagram and dependency graph for generating a sub-events hypergraph, and used spectral hypergraph cluster for analyzing the complex event. It used the graph transformation tool AGG simulation to verify the new method. Experimental results show that this method has higher accuracy and recall rate.

JIN Man-rong,ZHANG Gui-ying,WU Chang-fa,LIU Pei-yi,HOU Wei,

高分子学报 , 1995,
Abstract: Poly-N-Alkyl acrylamide temperature-sensitive hydrogels (poly-N-isopropylamide,poly-N-isopropylacrylamide/methylacrylamide copolymer, poly-N, N-die-thylacrylamide,poly-N,N-diethylacrylamide/N-tert-butylactyamide copolymer and poly-N-n-propylamide) have been prepared.The temperature sensibilities,phase -transition as well as swelling-collapsing properties of the gels are discussed. Based on the performances of poly-N-isopropylacrylamide,the gel-extraction separation is examined to be an effective process for concentration of protein solutions.
Activation Detection on fMRI Time Series Using Hidden Markov Model
Rong Duan,Hong Man
Advances in Artificial Neural Systems , 2012, DOI: 10.1155/2012/190359
Abstract: This paper introduces two unsupervised learning methods for analyzing functional magnetic resonance imaging (fMRI) data based on hidden Markov model (HMM). HMM approach is focused on capturing the first-order statistical evolution among the samples of a voxel time series, and it can provide a complimentary perspective of the BOLD signals. Two-state HMM is created for each voxel, and the model parameters are estimated from the voxel time series and the stimulus paradigm. Two different activation detection methods are presented in this paper. The first method is based on the likelihood and likelihood-ratio test, in which an additional Gaussian model is used to enhance the contrast of the HMM likelihood map. The second method is based on certain distance measures between the two state distributions, in which the most likely HMM state sequence is estimated through the Viterbi algorithm. The distance between the on-state and off-state distributions is measured either through a t-test, or using the Kullback-Leibler distance (KLD). Experimental results on both normal subject and brain tumor subject are presented. HMM approach appears to be more robust in detecting the supplemental active voxels comparing with SPM, especially for brain tumor subject. 1. Introduction Functional magnetic resonance imaging (fMRI) is a well-established technique to monitor brain activities in the field of cognitive neuroscience. The temporal behavior of each fMRI voxel reflects the variations in the concentration of oxyhemoglobin and deoxyhemoglobin, measured through blood oxygen level-dependent (BOLD) contrast. BOLD signal is generally considered as an indirect indicator for brain activities, because neural activations may increase blood flow in certain regions of the brain. 1.1. Characteristics of fMRI Data fMRI data are collected as a time series of 3 D images. Each point in the 3 D image volume is called a voxel. fMRI data have four important characteristics: (1) large data volume; (2) relatively low SNR; (3) hemodynamic delay and dispersion; (4) fractal properties. Typically, one fMRI data set includes over 1 0 0 -K voxels from a whole brain scan and therefore has 1 0 0 -K time series. The observed time sequences are combinations of different types of signals, such as task-related, function-related, and transiently task-related (different kinds of transiently task-related signals coming from different regions of brain). These are the signals that convey brain activation information. There are also many types of noises, which can be physiology-related, motion-related, and
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