重庆都市经济圈土壤Cd元素含量分布特征与评价

通过重庆都市经济圈网格化深浅层土壤及评价样品的调查分析,阐述重金属Cd区域上的分布现状,并绘制土壤Cd元素环境质量分级图.研究区浅层土壤Cd背景平均值0.27μg/g,深层0.13μg/g.根据《土壤环境质量标准》对区内土壤进行统计分类,区内浅层土壤Cd元素Ⅱ类土及以上土类面积为83.97%.土壤Cd高含量值主要分布在金刀峡镇北、含谷—白市驿、木耳—王家和玉峰山镇等区域.含谷—白市驿、木耳—王家、西彭北等区域的高Cd含量受人类活动影响比较明显,其中含谷—白市驿区Cd主要来源于生活垃圾、排污底泥和降尘,而金刀峡镇北的高Cd含量属自然背景变化的范畴.     

Measuring tidal deformations at Europa’s surface

Key information on Europa’s interior can be gained by monitoring tidally-induced surface deformations from orbiting and landed spacecraft. Such observations would provide constraints on the thickness and rheology of Europa’s ice and liquid water layer, being thus an important tool to characterize basic physical properties of the satellite’s putative subsurface water ocean. Focusing on the outer ice-I layer we will present relations between the interior of Europa and key tidal parameters that can be retrieved from an instrument suite monitoring tidally-induced changes of local gravity, tilt, latitude and strain at the surface. A most promising approach would involve laser altimetry and gravitational field observations from an orbiting spacecraft combined with monitoring of tidally-induced gravity and tilt changes at the surface. However, tidal measurements at the surface may be significantly impeded by instrumental drift, instrument coupling to the surface, local sources of noise and the presumably short life-time of the instruments due to the harsh radiation environment.     

小直径深孔加工技术在航空机载行业中的应用

分析总结了国内外小直径深孔加工技术后,介绍了小直径深孔加工技术在航空机载行业中的应用,及其小直径深孔加工时设备选型需注意的问题。     

红外无损检测技术粘接结构产品应用

介绍了红外无损检测技术的检测原理和对粘接结构产品的试验应用。试验结果表明,红外无损检测技术可以有效的对玻璃钢泡沫夹层、软木粘接、碳纤维蒙皮蜂窝夹层等粘接结构进行产品质量检测,具备广阔的应用前景。     

发挥员工最大潜能 迎接21世纪优质服务的挑战(英文)

每一个机构中，员工的潜能往往被经理们所低估。如何达到公司经营的最高目标及有效地面对剧烈竞争的工商业世界，我们一定要帮助员工在机构内发挥他们最大的潜能，最后使员工及顾客均满意。怎样了解及发挥员工的内在潜能是２１世纪最有效的员工管理策略，要使员工及顾客都满意，一定要知道怎样去激发员工最大潜能，并不断学习新的文化及有效地奖励员工。     

谈民航科研项目实施过程的质量控制

针对目前民航科研项目在研究阶段忽视进度、质量与目标不统一的实际，提出了科研项目研究过程中必须实施过程质量控制的思想。着重阐述了实施质量过程控制的必要性、可行性及在实施中应做好的几项基础性工作。     

An Adaptive Network-based Fuzzy Inference System for the detection of thermal and TEC anomalies around the time of the Varzeghan,Iran, (Mw = 6.4) earthquake of 11 August 2012

Anomaly detection is extremely important for forecasting the date, location and magnitude of an impending earthquake. In this paper, an Adaptive Network-based Fuzzy Inference System (ANFIS) has been proposed to detect the thermal and Total Electron Content (TEC) anomalies around the time of the Varzeghan, Iran, (M_w = 6.4) earthquake jolted in 11 August 2012 NW Iran. ANFIS is the famous hybrid neuro-fuzzy network for modeling the non-linear complex systems. In this study, also the detected thermal and TEC anomalies using the proposed method are compared to the results dealing with the observed anomalies by applying the classical and intelligent methods including Interquartile, Auto-Regressive Integrated Moving Average (ARIMA), Artificial Neural Network (ANN) and Support Vector Machine (SVM) methods. The duration of the dataset which is comprised from Aqua-MODIS Land Surface Temperature (LST) night-time snapshot images and also Global Ionospheric Maps (GIM), is 62 days. It can be shown that, if the difference between the predicted value using the ANFIS method and the observed value, exceeds the pre-defined threshold value, then the observed precursor value in the absence of non seismic effective parameters could be regarded as precursory anomaly. For two precursors of LST and TEC, the ANFIS method shows very good agreement with the other implemented classical and intelligent methods and this indicates that ANFIS is capable of detecting earthquake anomalies. The applied methods detected anomalous occurrences 1 and 2 days before the earthquake. This paper indicates that the detection of the thermal and TEC anomalies derive their credibility from the overall efficiencies and potentialities of the five integrated methods.     

信息化制造技术在航天制造企业的应用

结合企业在实际生产中综合运用CAD/CAM/DNC系统完成曲面工件的加工实例,介绍了CAD/CAM/DNC系统在信息化制造过程中各自起的作用,以及通过综合运用对企业信息化制造和企业制造技术所产生的影响。     

Fronts and thermohaline structure of the Brazil–Malvinas Confluence System

Fronts and thermohaline structure of the Brazil–Malvinas Confluence System (BMCS) are studied from climatic data, “Marathon Exp. Leg.8, 1984” data, and Sea surface temperature (SST) data base “ds277-Reynolds” (1981–2000). The South Atlantic Central Water (SACW) is divided in two main types: tropical (TW) and subtropical water (ST). Water masses, Fronts, Inter-Frontal and Frontal Zones are analysed and classified: (a) the water masses: Tropical Low-Salinity Water, Tropical Surface Water, Tropical Tropospheric Water, Subtropical Low-Salinity Water, Subtropical Surface Water, Subtropical Tropospheric Water. T,S characteristics of intermediate, deep and bottom water defined by different authors are confirmed and completed; (b) the Inter-Frontal Zones: Tropical/Brazil Current Zone, Subtropical Zone and Subantarctic Zone; (c) the Frontal Zones: Subtropical, Subantarctic and Polar, and (d) the Fronts: Subtropical Front of the Brazil Current, Principal Subtropical Front, North Subtropical Front, Subtropical Surface Front, South Subtropical Front, Subantarctic Surface Front, Subantarctic Front and Polar Front. Several stable T–S relationships are found below the friction layer and at the Fronts. The maximum gradient of the oceanographic characteristics occurs at the Brazil Current Front, which can be any of the subtropical Fronts, depending on season. Minimum mean depth of the pycnocline coincides with the Fronts of the BMCS, indicating the paths of low-salinity shelf waters into the open ocean. In the work it is shown how to recover the horizontal and vertical thermohaline structure of waters from satellite data RSMAS SST.     

我国高校教学质量保证体系存在的问题及完善的对策

教学质量保证体系是高校运行的中心环节,也是形成高校核心竞争力的根本措施。我国高等教育已经进入大众化阶段,开始由教育大国向教育强国迈进。在这个过程中,我们将面临一系列的机遇和挑战,为了实现我国高等教育长久、持续、平稳发展,必须及时解决教学质量保证体系中存在的问题,促进教学质量保证体系的健康发展。