Salinivibrio sp.YH4胞外丝氨酸蛋白酶EYHS耐盐性及生物信息学分析

摘要：目的 探讨菌株Salinivibrio sp.YH4分泌的丝氨酸蛋白酶EYHS的耐盐性及结构特征。方法 明胶底物酶谱法分析EYHS的耐盐性。应用生物信息学手段对EYHS及6种耐盐的S8家族丝氨酸蛋白酶结构特征进行分析。结果 EYHS在4 mol/L的NaCl溶液中仍具有活性,属于耐盐蛋白酶。EYHS及6种S8家族丝氨酸蛋白酶分子表面的loop区等无规则卷曲所占比例较高,α-螺旋与β-片层则主要位于酶分子内部。EYHS分子表面酸性氨基酸含量较高,且具有弱疏水内核。多序列比对发现蛋白酶的催化三联体两侧存在高度保守的基序和保守的极性氨基酸及芳香族氨基酸,并存在多个保守的Gly与Ala。同源模建和表面电荷分布显示,α螺旋和β片层围成了蛋白酶的催化腔,EYHS活性中心包含由Asp32、His65与Ser215组成的催化三联体,且催化位点区域表面静电势为负。结论 上述结构特征可能有助于耐盐丝氨酸蛋白酶EYHS在高盐环境下维持其稳定性和适度柔性,并有助于其催化功能的发挥,为深入研究耐盐丝氨酸蛋白酶的高盐环境适应性提供了一定的理论依据。     

利用LM-BP神经网络估算西北地区太阳辐射

气候、生态、水文等模型的应用需要空间连续分布的太阳辐射数据,由于地形等条件的制约,气象站点的分布有限,无法利用稀少的站点获得空间连续分布的辐射数据,而BP(Back-propagation)神经网络模型对太阳辐射具有很好的预测性,但以往的研究都是基于单个站点估算太阳辐射,而且BP神经网络模型存在收敛速度慢、学习时间长等问题,为解决BP算法存在的不足,采用LM(Levenberg-Marquardt)算法优化后的BP神经网络(简称LM-BP神经网络)结合DEM(Digital Elevation Model)数据估算西北地区128个气象站点2011年的太阳总辐射月均值,通过乌鲁木齐和银川两台站的实测数据进行验证,两台站的平均百分比误差分别为2.89%和3.24%,平均偏离误差分别为0.27 MJ·m-2和0.61 MJ·m-2,且拟合优度均0.90。该模型各项误差指标较小,估算精度较高。最后将模型模拟出的辐射值,结合已有的24个辐射站点的实测值进行空间插值,得到西北地区2011年逐月太阳辐射精细化空间分布图。     

Predicting the visualization intensity for interactive spatio-temporal visual analytics: a data-driven view-dependent approach

The continually increasing size of geospatial data sets poses a computational challenge when conducting interactive visual analytics using conventional desktop-based visualization tools. In recent decades, improvements in parallel visualization using state-of-the-art computing techniques have significantly enhanced our capacity to analyse massive geospatial data sets. However, only a few strategies have been developed to maximize the utilization of parallel computing resources to support interactive visualization. In particular, an efficient visualization intensity prediction component is lacking from most existing parallel visualization frameworks. In this study, we propose a data-driven view-dependent visualization intensity prediction method, which can dynamically predict the visualization intensity based on the distribution patterns of spatio-temporal data. The predicted results are used to schedule the allocation of visualization tasks. We integrated this strategy with a parallel visualization system deployed in a compute unified device architecture (CUDA)-enabled graphical processing units (GPUs) cloud. To evaluate the flexibility of this strategy, we performed experiments using dust storm data sets produced from a regional climate model. The results of the experiments showed that the proposed method yields stable and accurate prediction results with acceptable computational overheads under different types of interactive visualization operations. The results also showed that our strategy improves the overall visualization efficiency by incorporating intensity-based scheduling.     

欧盟最近的区域经济发展差异与区域政策

欧盟区域一体化进程的主要目标是地区和谐发展.为此欧盟设计了一整套用于比较区域发展的标准地区统计单元系统.经过50年的发展,欧盟内部出现了不同的发展类型区域.区域经济发展的空间格局经历了从点轴形态、多边形模式到网络一体化的成熟过程.随着欧盟区域范围的不断扩大,区域不平衡发展成为欧盟一体化进程的巨大挑战.为此欧盟出台了相应的区域政策,在平衡区域经济差异和促进落后地区的发展方面,经历了20世纪70年代之前的市场自调节手段、70年代到80年代的政府干预措施、90年代促进基础设施和再就业培训方面的项目以及目前正在加强先进国家的创新竞争能力和扶持后进国家的凝聚基金计划等.这些区域政策正在不断完善规范,形成制度化的区域发展框架.     

新疆非物质文化遗产的空间分布及其影响因素

基于国家级和自治区级非物质文化遗产（简称非遗）资源空间数据,集成相关自然地理环境和社会经济文化数据,采用最邻近分析、核密度估计和全局空间自相关分析,研究新疆非遗的空间分布规律和集聚特征,采用地理探测器模型深入探究影响新疆非遗空间分布的自然因素、经济因素和社会文化因素。结果表明：新疆非遗空间分布呈现北多南少的特征,主要集中在喀什、伊犁、塔城、巴州和乌鲁木齐等地（市、州）;新疆非遗在空间上具有明显的集聚特征,不同类型非遗的集聚程度也有差异,在空间上形成了乌鲁木齐-吐鲁番-库尔勒为核心的一级组团、伊宁和喀什为核心的二级组团以及以塔城、哈密和阿克苏为中心的若干三级组团。新疆非遗空间分布受自然因素、经济因素、社会文化因素的综合影响：社会文化因素（0.5494）>经济因素（0.4597）>自然因素（0.2285）。自然因素和经济因素、社会文化因素的协同效应对非遗空间分布的影响更明显。     

Potential promoted productivity and spatial patterns of medium- and low-yield cropland land in China

With a continuously increasing population and better food consumption levels, improving the efficiency of arable land use and increasing its productivity have become fundamental strategies to meet the growing food security needs in China. A spatial distribution map of medium- and low-yield cropland is necessary to implement plans for cropland improvement. In this study, we developed a new method to identify high-, medium-, and low-yield cropland from Moderate Resolution Imaging Spectroradiometer (MODIS) data at a spatial resolution of 500 m. The method could be used to reflect the regional heterogeneity of cropland productivity because the classification standard was based on the regionalization of cropping systems in China. The results showed that the proportion of high-, medium-, and low-yield cropland in China was 21%, 39%, and 40%, respectively. About 75% of the low-yield cropland was located in hilly and mountainous areas, and about 53% of the high-yield cropland was located in plain areas. The five provinces with the largest area of high-yield cropland were all located in the Huang-Huai-Hai region, and the area amounted to 42% of the national high-yield cropland area. Meanwhile, the proportion of high-yield cropland was lower than 15% in Heilongjiang, Sichuan, and Inner Mongolia, which had the largest area allocated to cropland in China. If all the medium-yield cropland could be improved to the productive level of high-yield cropland and the low-yield cropland could be improved to the level of medium-yield cropland, the total productivity of the land would increase 19% and 24%, respectively.     

Influencing factors of seed long-distance dispersal on a fragmented forest landscape on Changbai Mountains,China

Seed long-distance dispersal(LDD) events are typically rare, but are important in the population processes that determine large-scale forest changes and the persistence of species in fragmented landscapes. However, previous studies focused on species dispersed via animal-mediated LDD, and ignored those dispersed by wind. The aim of this study was to assess the effects of canopy openness, edge, seed source, and patch tree density on the LDD of seeds by wind in forest. We collected birch seeds, a typical wind-dispersed species, throughout a larch plantation. We then assessed the relationship between birch LDD and each factor that may influence LDD of seeds by wind including distance to edge, canopy openness size, distance to mature forest, and the tree density of the larch plantation. We used univariate linear regression analysis to assess the influence of those factors on birch LDD, and partial correlations to calculate the contribution of each factor to LDD. The results showed that both canopy openness and edge had significant influences on birch LDD. Specifically, a negative relationship was observed between distance to edge and birch LDD, whereas there was a positive correlation between canopy openness size and LDD. In contrast, the distance to the mature forest was not correlated with birch LDD. Our results suggest that patch tree density could potently affect the probability of LDD by wind vectors, which provides novel and revealing insights regarding the effect of fragmentation on wind dynamics. The data also provide compelling evidence for the previously undocumented effect of habitat fragmentation on wind-dispersed organisms. As such, these observations will facilitate reasonable conservation planning, which requires a detailed understanding of the mechanisms by which patch properties hamper the delivery of seeds of wind-dispersed plants to fragmented areas.     

居民地方感对区域旅游发展支持度影响——以九寨沟旅游核心社区为例

基于"地方感"、"期望理论"两个基本理论,从旅游核心社区居民地方感、旅游发展期望、旅游发展获益感知、旅游发展成本感知以及旅游发展支持度五个结构变量Ⅲ发,通过引入旅游发展期望值作为中介变量,构建居民地方感对旅游发展支持度内部影响机制的理论模型.以世界遗产地几寨沟为实证研究对象,通过验证性因子分析和三阶段结构方程模型的定量分析,校验理论模型中各结构因子、结构因子与其所含维度之间影响路径及其系数,定量测度了居民的旅游发展期望在居民地方感与旅游发展正反影响感知关联中的中介效用和影响机制,及对旅游发展支持度的潜在影响模式.研究结果表明:①居民地方感对居民旅游发展正反影响感知的作用存在差异,地方感对获益感知的作用远大于成本感知.②居民从旅游发展中感知获益有助于他们对当地旅游发展持更积极态度.而成本感知则会产生消极影响.③居民旅游发展期望中介效用的存在性和有效性,居民地方感通过发展期望,强化了对旅游发展影响感知及旅游支持度作用.④发展期望在居民旅游发展正反影响感知两结构模型中的中介效用存在强弱,在感知获益子结构模型的中介作用强于感知成本子模型.     

辽宁赛马碱性岩的年代学及碱性岩浆的形成

辽宁赛马碱性岩位于辽东半岛东部，是我国的一个典型碱性岩区，出露面积约２８０ｋｍ￣２，其岩性较单一，主要以正长岩和霞石正长岩为主，其主体形成于早三叠纪，碱性岩浆的活动一直延续到早侏罗纪。赛马碱性岩浆起源于地幔，由幔源岩浆的结晶分异伴随着壳层物质（下地壳）的混合而形成。二元混合计算表明，赛马碱性岩相当于５３％～６１％的亏损地幔加上３９％～４７％的下地壳物质组成的混合物，在成因上为壳、幔混合型，以幔源为主。赛马碱性岩的Ｕ，Ｔｈ，ＴＲＥＥ应来源于地幔分异。     

文化生态学视角下的南海诸岛地名文化

地名具有丰富的文化内涵,正日益受到学术界的高度关注。南海诸岛及其附近海域是中国政治敏感地带,多国为主权归属问题摩擦不断,研究其地名文化历史演变问题可为维护中国领土主权提供有力证据。基于南海诸岛地名命名、变更和演变等资料,采用文本分析方法,分析《更路簿》和不同时期公布的南海诸岛命名资料,并利用 GIS 将地名的演变情况进行地理可视化表达,同时对南海诸岛及其附近海域的开发者--渔民和老船长等进行深入访谈。研究发现：南海诸岛的土地名主要依据岛礁的自然地理环境特征而命名,地名的更替、消亡与社会文化环境紧密相关;1935 年公布的地名以音译英文地名为主,1947 年更名以去外国化、美化、纪念地名为主,1983 年对 1947 年所公布的标准地名更改很少,在这 118 个地名中,增加了前几次未公布地名 39 个,这些地名几乎都沿用渔民命名的土地名。