中国土地市场对城乡融合发展的影响

城乡融合发展是实现乡村振兴与推进新型城镇化建设的关键举措,土地市场则是实现城乡要素流通的重要渠道,也是连接城乡发展的关键纽带。本文阐释了城乡融合发展的科学内涵与本质特征,探究了土地市场对城乡融合发展的作用机理,在此基础上,量化分析了中国273个地级及以上行政单元土地市场与城乡融合发展的演进规律,并运用面板数据模型对土地市场与城乡融合关系进行了实证检验,以期从土地市场视角为城乡融合发展提供一条可实现路径。结论如下：（1）城乡融合发展是城乡价值重塑的过程,旨在消除阻碍城乡发展的因素,推动城乡要素自由流动与平等交换,实现城乡发展要素回报趋同,本质是通过城乡互动互补实现城乡地域功能的整体优化。（2）土地市场对城乡融合的作用是利弊双轨的权衡,作用方向取决于土地市场是否是良性市场。城乡二元分配体制与社会融入受阻背景下,扭曲土地市场掣肘城乡融合发展。（3）2005-2013年中国土地市场稳步发展,城乡融合发展水平略低,土地市场规模、土地市场价格与土地市场化程度分别提升113.66%、274.09%与37.07%,59.34%城市的城乡融合发展水平下滑,二者反差明显,且均具时空分异特征。（4）现阶段,土地市场对城乡融合发展更多体现为滞碍作用,但土地市场对城乡融合存在“低水平陷阱”,突破88.64%的抑制拐点,即可发挥土地市场对城乡融合的促进作用。重塑土地市场发展价值取向,加快推进土地市场化改革,探索人口—土地挂钩机制是后续工作的重要方向。     

京津唐地区农村-城市转型研究

以农村发展为视角，城乡一体化为背景。详细分析了京津唐地区农村—城市转型的特征、动力机制和类型。通过分析，文章认为促进京津唐地区农村一城市转型的因素一部分来自于农村内部的改革和发展．一部分来自于中心城市的经济技术辐射。在此基础上．作者提出了推进京津唐地区农村-城市转型的主要对策。     

基于改进灰色模型的管壁蜡沉积厚度预测研究

为对含蜡原油管道中的蜡沉积厚度进行准确预测,在函数cot(x2)变换的基础上,结合平移变换思想,利用cot(x2+c)变换建立新的改进GM(1,1)模型。以现场管道结蜡数据和室内环道结蜡数据为例,对比改进GM(1,1)模型、基于函数cot(x2)变换建立的GM(1,1)模型及传统GM(1,1)模型之间的预测精度,并分析平移量c对改进GM(1,1)模型预测精度的影响。结果表明:改进GM(1,1)模型的预测精度最高,其次是基于函数cot(x2)变换建立的GM(1,1)模型,而传统GM(1,1)模型的预测精度最低;随着平移量的增大,改进GM(1,1)模型的平均相对预测误差呈现出先减小后增大的趋势,因此合理的平移量有助于模型精度的提高。应用改进GM(1,1)模型来预测管道蜡沉积厚度是可行的,该方法可为含蜡原油管道蜡沉积厚度的准确预测提供参考和借鉴。     

石油加工过程硫转移分布及风险分析

以典型高硫原油加工炼厂为研究对象,选取常减压蒸馏装置、加氢处理装置、延迟焦化、催化裂化等硫化物处理量较大的装置进行硫转移分析,研究石油加工过程中硫迁移分布规律;以硫迁移分布规律为基础,结合各装置中硫的类型分布,分析各装置存在的主要风险,并提出控制建议,为各装置的风险管理提供依据。     

Deriving heart rate variability indices from cardiac monitoring—An indicator of driver sleepiness

Objective: Driver fatigue is considered to be a major contributor to road traffic crashes. Cardiac monitoring and heart rate variability (HRV) analysis is a candidate method for early and accurate detection of driver sleepiness. This study has 2 objectives: to evaluate the (1) suitability of different preprocessing strategies for detecting and removing outlier heartbeats and spectral transformation of HRV signals and their impact of driver sleepiness assessment and (2) relation between common HRV indices and subjective sleepiness reported by a large number of drivers in real driving situations, for the first time.

Methods: The study analyzed >3,500 5-min driving epochs from 76 drivers on a public motorway in Sweden. The electrocardiograph (ECG) data were recorded in 3 studies designed to evaluate the physiological differences between awake and sleepy drivers. The drivers reported their perceived level of sleepiness according to the Karolinska Sleepiness Scale (KSS) every 5?min. Two standard methods were used for identifying outlier heartbeats: (1) percentage change (PC), where outliers were defined as interbeat intervals deviating >30% from the mean of the four previous intervals and (2) standard deviation (SD), where outliers were defined as interbeat interval deviating >4 SD from the mean interval duration in the current epoch. Three standard methods were used for spectral transformation, which is needed for deriving HRV indices in the frequency domain: (1) Fourier transform; (2) autoregressive model; and (3) Lomb-Scargle periodogram. Different preprocessing strategies were compared regarding their impact on derivation of common HRV indices and their relation to KSS data distribution, using box plots and statistical tests such as analysis of variance (ANOVA) and Student’s t test.

Results: The ability of HRV indices to discriminate between alert and sleepy drivers does not differ significantly depending on which outlier detection and spectral transformation methods are used. As expected, with increasing sleepiness, the heart rate decreased, whereas heart rate variability overall increased. Furthermore, HRV parameters representing the parasympathetic branch of the autonomous nervous system increased. An unexpected finding was that parameters representing the sympathetic branch of the autonomous nervous system also increased with increasing KSS level. We hypothesize that this increment was due to stress induced by trying to avoid an incident, because the drivers were in real driving situations.

Conclusions: The association of HRV indices to KSS did not depend on the preprocessing strategy. No preprocessing method showed superiority for HRV association to driver sleepiness. This was also true for combinations of methods for frequency domain HRV indices. The results prove clear relationships between HRV indices and perceived sleepiness. Thus, HRV analysis shows promise for driver sleepiness detection.     

滤纸对青蒿丛生芽诱导及遗传转化的影响

研究了滤纸对青蒿丛生芽诱导及遗传转化的影响.结果表明,培养基上加铺一层滤纸能够明显促进青蒿丛生芽的诱导,丛生芽诱导率可达到97%.在高效丛生芽诱导体系的基础上,探讨了滤纸在根癌农杆菌介导的青蒿遗传转化中的应用.优化后的青蒿转化体系,抗性丛生芽诱导率可达到59.7%,其中,12.5%的抗性丛生芽能发育成抗性生根植株,生根植株PCR检测均为阳性.在部分PCR检测阳性植株中检测到了GUS的稳定表达.该优化的转化体系对青蒿素生物合成分子调控的研究具有重要意义.图5表1参26     

酸雨对土壤营养元素迁移转化的影响

针对近年来北方一些城市大气污染严重并导致部分月份出现酸雨,及酸雨对主要营养元素产生影响的实际情况,通过模拟pH=5.6的酸雨的淋溶实验,对土壤营养元素迁移转化规律作了较深入的研究。结果表明,土壤中硝态氮质量分数随土壤深度的增加而呈下降的趋势;土壤中速效磷、速效钾对酸雨不敏感;拟合出在土壤表层(<5 cm)、10 cm、20 cm、30 cm的不同深度,硝态氮随时间变化的迁移规律方程。     

转化高新技术促进烟气脱硫技术发展

文章综述了国内烟气脱硫技术及设备发展的历程和现状，分析了引进国外全套烟气脱硫技术装置对国内用户所造成的巨大经济压力，提出走转化高新技术发展国内烟气脱硫技术的道路，介绍了国内外脱硫技术与国内技术相结合，在天津市重点工程项目上实施的实例。     

感应电动势与参照系的相对关系

本文从电磁场变换入手,举例说明感应电动势的大小及区分感生、动生电动势与参照系有关.     

腐殖质对二氧化锰引起的五氯酚转化反应的影响

研究了在二氧化锰催化引起的五氯酚的转化反应中,腐殖质前身化合物的加入对五氯酚去除率的影响,并以p-coumaricacid为代表研究了体系pH值、反应时间、二氧化锰的质量浓度以及腐殖质前生物的浓度和分子结构对去除率的影响。结果表明,反应的最佳pH值范围是4～4.70,去除率在80%左右。五氯酚在24h内去除速率较快,去除率达到75%左右;反应到168h,去除速率趋于0,去除率达到80%左右。相同条件下,无p-coumaricacid的对照体系中,对应的反应时间内去除率仅分别为20%和25%左右。五氯酚的去除率还随二氧化锰质量浓度和p-coumaricacid浓度的增加而增大。当二氧化锰的质量浓度由0增加到100g·L-1时,去除率由0增大为95%;而当p-coumaricacid的浓度由0增加到1mmol·L-1时,去除率由25%增大到100%左右。此外,不同腐殖质前身物的分子结构和浓度对去除率分别起到了提高、不明显改变和降低的作用。