A new genus of Coelotinae (Araneae,Agelenidae) from southern China

One new genus of the spider subfamily Coelotinae, Flexicoelotes gen. n., with five new species is described from southern China: Flexicoelotes huyunensis sp. n. (female), Flexicoelotes jiaohanyanensis sp. n. (male and female), Flexicoelotes jinlongyanensis sp. n. (male and female), Flexicoelotes pingzhaiensis sp. n. (female), Flexicoelotes xingwangensis sp. n. (male and female).     

基于指标自动筛选的新疆开孔河流域生态健康评价

生态健康评价对了解区域生态健康状况和促进区域可持续发展具有重要意义,如何自动筛选出能反映生态系统特性的重要指标,是生态健康定量评估的关键问题。基于压力-状态-响应(PSR,Press-State-Response)框架和生态等级网络框架(EHN,Ecological Hierarchy Network),通过文献调研和因果分析建立要素层与指标层之间的交叉联系,构建了生态健康评价"网状"指标体系;在保证指标体系完备性基础上,通过结合主成分分析和熵权法的候选指标权重的客观计算,基于目标优化理论构建了评价指标的自动筛选模型,并基于中选指标计算了新疆开孔河流域2001—2017年生态健康指数(EHCI,Ecological Health Comprehensive Indexes),分析其空间分异和时间变化特征。结果表明:利用所建立的评价指标自动筛选模型,开孔河流域生态健康评价指标由31个候选指标自动筛选出了17个中选指标,用54.8%的指标表达了85.98%的信息,中选的17个指标在干旱/半干旱区域有关文献中应用较多,使用频次比例都在20%以上,其中归一化植被指数(NDVI,Normalized Difference Vegetation Index)、年降水量和植被覆盖度(FVC,Fractional Vegetation Coverage)3个指标的使用频次百分比均超过了50%,说明指标自动筛选模型的合理性;开孔河流域空间分布差异显著,总体上西北高、东南低,东南部和中部绿洲区外围生态健康状况较差,西北部河谷地带和中部两大绿洲区生态健康状况较好;17年来,流域生态质量整体趋于改善,显著改善区域占10.26%,远高于显著退化的1.61%,显著改善区域以孔雀河绿洲最为明显。开孔河流域生态健康的总体好转趋势说明区域生态综合治理取得一定成效。     

一种基于Z-Curve映射下DNA序列信噪比的快速算法研究

DNA序列信号频谱3-周期特性被认为是用来区分编码区和非编码区的一个重要特征.针对信噪比计算量大的问题,给出基于Z-Curve映射下快速计算信噪比的方法,该方法有效避开计算离散傅立叶变换(DFT),从序列本身直接得到信噪比.实验结果表明,快速算法计算效率是DFT方法的百倍之上,极大减小基因的信噪比计算时间.     

RNA Graph Partitioning for the Discovery of RNA Modularity: A Novel Application of Graph Partition Algorithm to Biology

Graph representations have been widely used to analyze and design various economic, social, military, political, and biological networks. In systems biology, networks of cells and organs are useful for understanding disease and medical treatments and, in structural biology, structures of molecules can be described, including RNA structures. In our RNA-As-Graphs (RAG) framework, we represent RNA structures as tree graphs by translating unpaired regions into vertices and helices into edges. Here we explore the modularity of RNA structures by applying graph partitioning known in graph theory to divide an RNA graph into subgraphs. To our knowledge, this is the first application of graph partitioning to biology, and the results suggest a systematic approach for modular design in general. The graph partitioning algorithms utilize mathematical properties of the Laplacian eigenvector (µ2) corresponding to the second eigenvalues (λ2) associated with the topology matrix defining the graph: λ2 describes the overall topology, and the sum of µ2′s components is zero. The three types of algorithms, termed median, sign, and gap cuts, divide a graph by determining nodes of cut by median, zero, and largest gap of µ2′s components, respectively. We apply these algorithms to 45 graphs corresponding to all solved RNA structures up through 11 vertices (∼220 nucleotides). While we observe that the median cut divides a graph into two similar-sized subgraphs, the sign and gap cuts partition a graph into two topologically-distinct subgraphs. We find that the gap cut produces the best biologically-relevant partitioning for RNA because it divides RNAs at less stable connections while maintaining junctions intact. The iterative gap cuts suggest basic modules and assembly protocols to design large RNA structures. Our graph substructuring thus suggests a systematic approach to explore the modularity of biological networks. In our applications to RNA structures, subgraphs also suggest design strategies for novel RNA motifs.     

Photobiomodulation by diffusing optical fiber on spinal cord: A feasibility study in piglet model

Previous studies on spinal cord injury (SCI) have confirmed that percutaneous photobiomodulation (PBM) therapy can ameliorate immunoinflammatory responses at sites of injury, accelerate nerve regeneration, suppress glial scar formation and promote the subsequent recovery of locomotor function. The current study was performed to evaluate a large‐animal model employing implanted optical fibers to accurately irradiate targeted spinal segments. The method's feasibility and irradiation parameters that do not cause phototoxic reaction were determined, and the methodology of irradiating the spinal cord with near‐infrared light was investigated in detail. A diffusing optical fiber was implanted above the T9 spinal cord of Bama miniature pigs and used to transfer near‐infrared light (810 nm) onto the spinal cord surface. After daily irradiation with 200, 300, 500 or 1000 mW for 14 days, both sides of the irradiated area of the spinal cord were assessed for temperature changes. The condition of the spinal cord and the position of optical fiber were investigated by magnetic resonance imaging (MRI), and different parameters indicating temperature increases or phototoxicity were measured on the normal spinal cord surface due to light irradiation (ie, heat shock responses, inflammatory reactions and neuronal apoptosis), and the animals' lower‐limb neurological function and gait were assessed during the irradiation process. The implanted device was stable inside the freely moving animals, and light energy could be directly projected onto the spinal cord surface. The screening of different irradiation parameters preliminary showed that direct irradiation onto the spinal cord surface at 200 and 300 mW did not significantly increase the temperature, stress responses, inflammatory reactions and neural apoptosis, whereas irradiation at 500 mW slightly increased these parameters, and irradiation at 1000 mW induced a significant temperature increase, heat shock, inflammation and apoptosis responses. HE staining of spinal cord tissue sections did not reveal any significant structural changes of the tissues compared to the control group, and the neurological function and gait of all irradiated animals were normal. In this study, we established an in‐vivo optical fiber implantation method, which might be safe and stable and could be used to directly project light energy onto the spinal cord surface. This study might provide a new perspective for clinical applications of PBM in acute SCI.     

生态系统服务簇空间演变轨迹及其社会-生态驱动的地理探测——以大连市为例

生态系统服务簇是多种生态系统服务的组合，明晰生态系统服务簇及其自然-社会经济驱动因素，对生态系统服务内部相互依赖机制识别、实现多种生态系统服务间良性互动具有重要意义。目前生态系统服务簇的识别已得到广泛应用，但对多种生态系统服务之间交互作用的动态过程与影响机理的认识还不够深刻。针对目前多种生态系统服务间交互作用动态演化分析及其社会-生态驱动机理研究不足的现状，以我国北方沿海重要中心城市——大连市为例，选取食物供给、水源涵养、固碳释氧、土壤保持、生境质量和景观美学6种关键服务。采用Spearman相关性分析方法探究生态系统服务权衡与协同关系，借助自组织网络方法识别生态系统服务簇，进一步分析多种生态系统服务间交互作用的时空分异特征，运用地理探测器探究其空间分异影响因素。结果表明：(1)食物供给与土壤保持存在极显著的权衡关系■,土壤保持与景观美学存在极显著的协同关系■。(2)2005—2015年大连市生态保育簇空间格局较稳定，水源涵养簇、食物供给簇与服务枯竭簇之间轨迹变化明显，城市扩张与服务枯竭簇演变具有一致性。(3)高程、归一化植被指数是影响生态系统服务簇空间分布的关键自然因素，而土地利用强...     

基于生态系统服务供需的景感尺度特征分析和应用

自然生态系统与人类感知的交互作用是景感生态学关注的焦点，与生态系统服务的供需紧密关联。生态系统、生态过程、生态系统服务以及人的需求均具有一定的时空尺度特征，因此，由这些过程产生的"景感"也具有时空尺度特征，并依赖于这个过程的尺度特征相互作用。梳理生态系统服务供需关系与景感营造规划的尺度特征，探索二者相互联系，进而提出基于景感生态学理论，通过景感营造实现生态系统服务供需平衡的多尺度实现路径。从空间维度，体现从"社区-城市-流域-区域"的多尺度景感规划框架，从应用维度，体现从生态系统服务需求探索-关键指标体系识别-多源谜码数据感知-景感营造与规划设计的具体流程。通过多尺度的联合景感营造，调整自然供给水平与人类不同尺度的生态系统服务需求以期达到平衡，从而实现人类生存环境福利与居民福祉提升的目标。在此基础上，结合雄安新区规划建设实例，从多尺度景感营造的角度为城市绿色生态建设与可持续发展提出优化建议。主要结论：（1）基于"社区-城市-流域-区域"的多尺度景感分析框架，将景感要素与生态系统服务供需思想融入城市规划，在不同尺度上趋善优化，对于实现可持续发展城市规划和管理具有重要指示意义；（2）雄安新区规划设计需更系统和细致地考虑人类感知需求，通过多尺度景感营造设计，共同实现雄安新区的可持续发展与人居环境提升。其中，在社区尺度，需重点关注社区植被配置和居民的休闲游憩；在新区尺度重点关注绿地系统网络构建；在大清河流域尺度重点关注河流健康与水文调节；在京津冀区域尺度需注重山体通风廊道与生态屏障的构建与优化。