北京水系中腐霉和疫腐霉种类调查

为研究北京地区水系中腐霉和疫腐霉种类分布,采用叶饵法从北京水系中诱集菌株,共分离到腐霉、疫腐霉182株,利用Single-strand conformation polymorphism (SSCP)进行分析,筛选出不同基因型的代表菌株,并依据形态学特征及ITS序列对这些菌株进行种类鉴定。结果共发现6个已知种和3个可能的新种,其中:湖滨疫腐霉Phytopythium litorale和果胶裂解腐霉Pythium pectinolyticum为国内新记录种;旋柄疫腐霉Pp.helicoides、异丝腐霉P.diclinum、簇囊腐霉P.torulosum和袋囊腐霉P.marsipium为北京地区新记录种。研究结果可为未来监测北京地区水系中病原菌的分布情况提供基础数据。     

实时混合对抗蠕虫的建模和分析

传统的防病毒技术难以抵御蠕虫的传播，为此本文提出实时混合对抗技术，该技术在被对抗蠕虫感染的主机与易感染主机数量相等时转换对抗策略，并建立实时混合对抗蠕虫的传播模型.最后，通过仿真实验从对抗有效性、资源消耗和应对突发事件能力三个方面验证实时混合对抗技术的性能.理论分析和实验结果表明，实时混合对抗技术能更好地满足对抗有效性和低资源消耗要求，并能应对突发事件.     

黑龙江农垦齐齐哈尔管理局奶牛养殖小区饲养经营模式及效益的探析

对农垦齐齐哈尔管理局奶牛养殖小区的饲养经营模式及效益进行了调查,分析了奶牛小区建设给奶牛群带来的主要变化。通过分析不同模式奶牛小区生产经营状况,确定适合该地区奶牛业发展的奶牛小区经营模式。     

Decreasing of methanogenic activity in paddy fields via lowering ponding water temperature: A modeling investigation

Methane (CH₄) is a potent greenhouse gas and the huge CH₄ fluxes emitted from paddy fields can prejudice the eco-compatibility of rice cultivation. CH₄ production in submerged rice crops is known to be highly influenced by water temperature. Hence, lowering ponding water temperature (LPWT) could be an option to mitigate CH₄ emissions from paddy environments when it is possible either to irrigate with slightly colder water or to increase ponding water depth. However, paddy soil is a complex environment in which many processes are simultaneously influenced by temperature, leading to a difficult prediction of LPWT effects. For this reason, LPWT efficiency is here theoretically investigated with a one-dimensional process-based model that simulates the vertical and temporal dynamics of water temperature in soil and the fate of chemical compounds that influence CH₄ emissions. The model is validated with literature measured data of CH₄ emissions from a paddy field under time-variable temperature regime. Based on modeling results, LPWT appears promising since the simulated reduction of CH₄ emissions reaches about −12% and −49% for an LPWT equal to −5 °C during the ripening stage only (last 30 days of growing season, when rice is less sensitive to temperature variations) and −2 °C over the whole growing season, respectively. LPWT affects CH₄ emissions either directly (decreasing methanogenic activity), indirectly (decreasing activity of bacteria using alternative electron acceptors), or both. The encouraging results provide the theoretical ground for further laboratory and field studies aimed to investigate the LPWT feasibility in paddy environments.     

感应热处理工艺对拖拉机轴类零件扭转强度的影响

对驱动轮工艺轴进行了7种工艺方案的感应热处理表面强化,然后对工艺轴进行扭转破坏试验。通过对驱动轮工艺轴扭转断裂的研究,为驱动轮轴及承受扭力的轴类零件结构设计、工艺流程设计和热处理技术要求提供指导,从而提高其扭转疲劳强度和使用寿命。     

基于结构洞指数的网络节点重要度评估

运用双阶差分模型探究了并购与新建投资模式下公司避税效应的非对称性，并进一步从事后的视角探究该非对称性是否是影响企业投资模式选择的显著影响因素。研究发现：相比于新建投资，并购增加了收购方会计利润应税所得差异，且实质性地降低了其所得税实际有效税率，这表明不同投资模式下公司避税效应存在理论预期的非对称性。进一步研究发现，改变企业会计利润应税所得差异以及会计利润应税所得操纵程度是影响企业投资模式选择的重要因素。从事后的视角来看，企业很可能为了获取更大程度的公司避税效应而选择并购行为。     

基于贡献度随机森林模型的公司债信用风险实证分析

运用贡献度随机森林方法（CRF）方法探讨公司债财务指标比率与其违约率的关系.运用连续属性离散化方法（OB）进行财务指标最优降维；运用WOE变换进行模型变量约简.研究表明，CRF模型的分类性能显著优于其他模型，测试集评估总体正确率达90.47%，AUC统计量、AR比率及K-S值分别提升了2.6%、7.6%、4.38%，变量贡献度量化了各财务指标对违约率影响，为诠释随机森林预测机制提供了依据.     

网络嵌入性、商业模式创新与企业竞争优势关系研究

基于商业模式创新中介效应，依据全国314家企业问卷调查的样本数据，运用多元线性回归方法，考量网络嵌入性、商业模式创新和企业竞争优势之间关系，结果发现：关系嵌入性、结构嵌入性与竞争优势均有显著的正向关系；商业模式创新在关系嵌入性、结构嵌入性与企业竞争优势的关系中起着中介作用。鉴此，企业应注重构建不同形式的网络嵌入，推动商业模式的调整与变革，以提高企业竞争优势。     

The Relationship Between Vegetation Characteristics and Altitudes in Transitional Permafrost Zone in Xidatan,Qinghai-Tibetan Plateau

Many studies showed that permafrost has profound influence on alpine ecosystem. However, former researches were mainly focused on typical points by temporal scales. There were few studies about the correlation between vegetation characteristics and different altitudes covering a large region in spatial pattern, especially in transitional permafrost(TP). There were continuous permafrost(CP) discontinuous permafrost(DCP) and seasonal frozen ground(SFG) in this study region. The types of permafrost changed from SFG to DCP, and finally become CP as the altitudes of Xidatan increase. In this paper, 112 845 points interpreted by HJ1-B(environment and disaster monitoring and prediction small satellite constellation), vegetation investigation points, thawing layer thickness research sites, ground temperature and water content observation plots were used to examine the spatial pattern of vegetation which were located in different altitudes in Xidatan, a typical TP region, in Qinghai-Tibetan Plateau. Vegetation characteristics, soil moisture content(SMC) and thaw depths were collected in 15 August to 25 August2012. Characteristics of vegetation were mainly represented by fractional vegetation cover(FVC) derived from the normalized difference vegetation index(NDVI), as well as above ground biomass(AGB). In this paper, we analyzed that the distinction of vegetation characteristics in each range through statistics data. These ranges were divided by varied altitudes. For examples, the ranges were divided into 50 m or 100 m. In this study we use a large area plots method to further discuss the relationship between the features of vegetation and the different regions of permafrost based on altitudes shifts in Xidatan. A diagram described the vegetation characteristics variability with rising altitudes in transitional permafrost region was drawn in this paper. Our results illustrated the FVCs first increased in SFG region and then decreased in DCP zone slowly, and in CP region FVCs soared then dropped dramatically. With the altitudes increased, the curve of FVCs indicated a parabolic distribution except a little difference in the first 200 m range.     

Improving cereal yield forecasts in Europe – The impact of weather extremes

The impact of extreme events (such as prolonged droughts, heat waves, cold shocks and frost) is poorly represented by most of the existing yield forecasting systems. Two new model-based approaches that account for the impact of extreme weather events on crop production are presented as a way to improve yield forecasts, both based on the Crop Growth Monitoring System (CGMS) of the European Commission. A first approach includes simple relations – consistent with the degree of complexity of the most generic crop simulators – to explicitly model the impact of these events on leaf development and yield formation. A second approach is a hybrid system which adds selected agro-climatic indicators (accounting for drought and cold/heat stress) to the previous one. The new proposed methods, together with the CGMS-standard approach and a system exclusively based on selected agro-climatic indicators, were evaluated in a comparative fashion for their forecasting reliability. The four systems were assessed for the main micro- and macro-thermal cereal crops grown in highly productive European countries. The workflow included the statistical post-processing of model outputs aggregated at national level with historical series (1995–2013) of official yields, followed by a cross-validation for forecasting events triggered at flowering, maturity and at an intermediate stage. With the system based on agro-climatic indicators, satisfactory performances were limited to microthermal crops grown in Mediterranean environments (i.e. crop production systems mainly driven by rainfall distribution). Compared to CGMS-standard system, the newly proposed approaches increased the forecasting reliability in 94% of the combinations crop × country × forecasting moment. In particular, the explicit simulation of the impact of extreme events explained a large part of the inter-annual variability (up to +44% for spring barley in Poland), while the addition of agro-climatic indicators to the workflow mostly added accuracy to an already satisfactory forecasting system.