Temporal-spatial distribution,environmental significance and release risks of phosphorus in the sediments of a tropical mountain’s deep drinking water reservoir in southeastern China

In this study, the fractionation and distribution of phosphorus (P) in the core sediments of the Shanmei reservoir were investigated by using the chemical extraction method in directions for the first time in order to understand its bio-availability, adsorption characteristics, potential release and environmental significance. The results of the study showed that P in the sediments mainly consisted of inorganic phosphorus (IP) and that IP mainly consisted of non-apatite phosphorus (NAIP). The horizontal and temporal distributions of the P fractions were different from each other, but the vertical distribution was similar, which indicated a trend of stabilization after falling. The content of total phosphorus (TP), IP, organic phosphorus (OP), NAIP, apatite phosphorus (AP), and bio-available phosphorus (BAP) in the sediments during the three seasons ranged from 193.85 to 1664.05 mg·kg^?1, 126.90 to 1127.70 mg·kg^?1, 43.74 to 669.29 mg·kg^?1, 57.62 to 937.07 mg·kg^?1, 32.58 to 250.71 mg·kg^?1, and 41.06 to 871.82 mg·kg^?1, respectively. NAIP contents in the sediments accounted for more than 50% of TP. Using an analysis from three aspects, the eutrophication risk index (ERI) could be used to assess the potential release of P in the sediments, and there was a high release risk of P in the sediments in the Shanmei reservoir.     

Examining the relationship between urbanization and the eco-environment using a coupling analysis: Case study of Shanghai,China

As a key issue in China’s urban development, urbanization creates increasing pressure on the environment. Thus, a better understanding of the relationship between urbanization and the eco-environment is necessary for Chinese policy makers to realize sustainable urbanization development. Making reference to physical coupling models, we developed a coupling coordination degree model in order to examine the relationship between urbanization and the eco-environment in Shanghai, using data from 1980 to 2013. The comprehensive level of Shanghai’s urbanization process during the study period was estimated using an index composed of four primary indicators, namely: demographic urbanization, spatial urbanization, social urbanization, and economic urbanization. We also developed an index system for the eco-environment, which was based on four primary indicators: the environmental level, eco-environmental endowment, eco-environmental pressure and eco-environment response. The entropy method was subsequently employed in order to identify the contribution made by each indicator to the compound system during the study period. The results show that: (1) economic urbanization and eco-environmental response made the greatest contributions to the urbanization subsystem and the eco-environmental subsystem, respectively—these are thus the key factors to consider in policy decisions aiming to adjust the coupling coordination degree between the two subsystems; (2) the two parameters α-urbanization and β-eco-environment were found to have minimal effect on the coupling coordination system; (3) the coupling coordination between urbanization and the eco-environment produced an S-shaped curve, and both subsystems were found to have evolved from seriously unbalanced development at the start of the study period into superiorly balanced development at the close of the study period. The results of this study hold important implications for efforts to achieve the coordinated development of both urbanization and the eco-environment.     

基于小波神经网络的麦蚜发生程度预测模型

【目的】建立基于小波神经网络病虫害预测预报模型,对提前采取防病防虫措施、减少农作物病虫害损失、提高农作物产量与质量具有重要意义。【方法】本研究以山西省运城市芮城县1980-2014年麦蚜发生程度和气象因子数据为基础,采用主成分分析法从40个基础气象因子中整合形成9个新的自变量输入模型,采用试凑法筛选隐含层节点数,用1980-2009年的数据进行网络训练,对2010-2014年麦蚜发生程度进行回测,建立了以Morlet小波函数为传递函数的小波神经网络模型,并与以Sigmoid函数为传递函数的BP神经网络模型进行了比较。【结果】小波和BP神经网络两种模型对训练样本的平均拟合精度均有10年以上超过80%,两者MAPE 值分别为 89.83% 和83.07%,MSE 值分别为0.0578和0.6192。【结论】两个模型都能较好地描述麦蚜发生程度;从预测精度和模型的稳定性来看,小波神经网络好于BP神经网络。     

血浆D-二聚体、纤维蛋白原水平与骨创伤患者创伤程度的相关性

目的:分析骨创伤患者的血浆D-二聚体、纤维蛋白原水平及其与创伤程度的相关性。方法:收集2015年1月至2016年1月我院收治的骨创伤患者180例作为观察组,选择同期接受体检的健康者100例作为对照组。动态监测两组受检者入院后第1、3、6、10 d的血浆D-二聚(DD)和纤维蛋白原(FIB)的水平,并分析DD和FIB水平与骨创伤程度的相关性。结果:入院后第1、3、6、10 d,观察组的FIB和DD水平均出现下降趋势,但均显著高于对照组,差异具有统计学意义(P0.05)。重度创伤组和中度创伤组患者的FIB水平显著高于轻度创伤组,且重度创伤组FIB水平显著高于中度创伤组,组间比较差异均具有统计学差异(P0.05)。从入院第1 d至10 d,3组患者的FIB水平均出现显著降低(P0.05)。轻度创伤组患者的DD水平最低,其次是中度创伤组,重度创伤组最高,组间比较差异均具有统计学差异(P0.05)。从入院第1 d至10 d,3组患者的DD水平均出现显著降低(P0.05)。此骨创伤患者创伤严重程度与FIB和DD的水平均呈现出显著正相关关系(r=0.64,P=0.003;r=0.71,P=0.002)。结论:骨创伤患者的血浆FIB和DD水平显著高于健康人,与创伤程度呈显著正相关,可能作为骨创伤患者病情程度和预后评估的生物指标。     

Recent developments in the production and applications of bacterial cellulose fibers and nanocrystals

Cellulosic nanomaterials provide a novel and sustainable platform for the production of high performance materials enabled by nanotechnology. Bacterial cellulose (BC) is a highly crystalline material and contains pure cellulose without lignin and hemicellulose. BC offers an opportunity to provide control of the products’ properties in-situ, via specific BC production methods and culture conditions. The BC potential in advanced material applications are hindered by a limited knowledge of optimal BC production conditions, efficient process scale-up, separation methods, and purification methods. There is a growing body of work on the production of bacterial cellulose nanocrystals (BCNs) from BC fibers. However, there is limited information regarding the effect of BC fibers’ characteristics on the production of nanocrystals. This review describes developments in BC and BCNs production methods and factors affecting their yield and physical characteristics.     

珠海市土石场空间分布特征与景观生态影响评价

人为水土流失是一种人类干扰下的典型景观退化现象．将人为侵蚀在空间上的表现称之为人为侵蚀景观．在遥感和GIS技术支持下,结合大量的实地调查资料,对珠海最主要的人为侵蚀景观类型——土石场开展空间分布分析和景观生态影响评价．调查范围内珠海土石场有235个,其中三灶、井岸两镇(区)分布最为集中,分别为28、29个．缓冲区分析表明,土石场的分布与距交通道路的远近呈对数线性相关,其中在距交通道路100～200m距离范围内分布最为集中．设计景观生态影响度评价指数,对面积大于5000m^2的152个土石场进行景观生态影响度评价结果表明,对周边景观生态环境影响极强的土石场有9个,属于强一级的有17个,应首先对这些土石场开展景观生态恢复．     

基于共生理论的兵团与地方城市“三生”功能跨界整合发展研究

基于共生理论，选取乌鲁木齐市、五家渠市、昌吉市为研究案例区，构建"三生"空间评价指标体系及"三生"功能评价指标体系，探讨乌五昌地区"三生"空间时空分异格局，借助共生度模型，识别兵团城市与地方城市"三生"功能共生发展模式，并对兵地城市跨界融合发展提供理论建议。结果表明：（1）研究区生产和生活空间面积呈上升趋势，生态空间面积呈下降趋势。（2）在生产功能方面，五家渠市与乌鲁木齐市、昌吉市共生模式分别为正向非对称共生、反向非对称共生，生活功能与生态功能方面，均为正向非对称共生，各功能城市间影响程度不同。（3）基于"三生"空间格局及"三生"功能共生模式，提出兵地融合发展建议，生产方面建立四区，三轴，一基地，生活方面加强交通路网建设，生态方面兵地协同建立生态保护区。     

Resting Sinus Heart Rate and First Degree AV block: Modifiable Risk Predictors or Epiphenomena?

Simple and cost-effective tools that identify patients at increased risk for adverse cardiovascular events are actively sought. High resting sinus heart rate and first degree AV block are easily recognized and commonly encountered findings in a cardiology practice. A growing body of epidemiological and clinical evidence has been shown them to be independent predictors of all-cause and cardiovascular mortality, both in the general population and in patients with structural heart disease. This paper reviews the important role of heart rate and first degree AV block in predicting cardiovascular outcomes, examines the pathophysiological mechanisms underlying this increased risk, and discusses the effectiveness of available therapies to favorably modify these risk factors.     

Forecasting the start of <Emphasis Type="Italic">Quercus</Emphasis> pollen season using several methods – the evaluation of their efficiency

Forecasting the time when the atmospheric pollen season of allergenic plants begins is particularly important for doctors and their patients. The aim of this paper is to determine whether it is possible to forecast the start of the oak (Quercus) pollen season in Rzeszów, Poland. In the elaboration of the most effective model, various forecasting techniques were tested: growth degree days (GDD°C); meteorological factors; bioclimatic factors; and indicator taxon. The aerobiological monitoring was carried out in 1997–2005 and 2007 in Rzeszów (SE Poland). In the presented investigation, three methods defining the start of the Quercus pollen season were selected on the basis of accumulated sums of pollen or the constant occurrence of pollen grains in air. Despite the application of different combinations of GDD°C methods and threshold temperatures, the correlation coefficients between the expected and obtained values were low. In some cases, however, they proved highly effective for the test years (2005, 2007) with the accuracy of a few days. For GDD°C methods, the best threshold temperatures range between 5 and 6°C. Models based on bioclimatic indices and meteorological variables were not satisfactory. On the basic of the 10 years of results, the method of indicator species were good for forecast the start of oak pollen season. Birch was the best indicator taxa.