人—气候—劳动相互作用关系的测定与分析

对机采面支柱工的劳动生理参数进行了现场实测，实验室模拟了气候负荷和劳动强度对作业人员的影响，分析得出了研究结果，并提出相应对策。     

矿工不安全行为“行为前-行为中-行为后”组合干预研究

为了预防和控制煤矿工人的不安全行为,从而减少煤矿重大事故的频发,文中从行为前、行为中、行为后3个方面构建组合干预策略集。采用系统动力学原理,构建矿工不安全行为"行为前-行为中-行为后"组合干预的SD模型,奠定仿真模拟研究基础。运用Vensim PLE软件对模型进行仿真模拟研究,通过分析矿工不安全行为水平在干预下变化趋势,对比分析了矿工不安全行为"行为前-行为中-行为后"的干预效果,结果表明行为前干预效果最显著。     

坚持实行值周劳动制度 不断深化“五爱”教育

教育与生产劳动相结合是党的教育方针的重要内容。对学生进行劳动教育是坚持社会主义教育方向的重要内容，是培养全面发展人才的重要途径、开辟校内劳动教育基地，实行学生劳动值用制度，是对学生进行劳动教育的实践和探索。     

融合聚类-卷积-门循环的居民用电短期负荷预测方法

对居民用电进行准确的短期负荷预测是电力部门合理制定每日调度计划的重要依据。提出了一种基于BIRCH(balanced iterative reducing and clustering using hierarchies)聚类算法-卷积神经网络(convolutional neural network, CNN)-门控循环单元(gated recurrent unit, GRU)的短期电力负荷预测方法。根据智能电表采集的历史负荷数据，该方法首先采用BIRCH聚类算法分析不同用户的用电习惯，将用户聚类为多个用户群；然后构建由负荷数据和时间以及气候信息组成的多特征时间序列数据集，并采用训练集进行CNN-GRU预测模型构建。训练集首先输入到基于一维卷积层设计的CNN网络，以提取不同特征变量之间的非线性关系；之后将数据输入GRU网络，以提取数据在时间维度上的时序特性，最后由全连接层输出短期负荷预测结果。以爱尔兰能源管理委员会提供的公开数据集作为实际算例，以ANN网络、CNN网络及CNN-GRU网络为对比模型，实验结果表明，所提出方法的平均绝对百分比误差达到了2.932 1%,有较高的预测精度和...     

企业能耗与环境负荷的研究

为定量地研究企业在生产过程中因能源和能源介质的使用对环境的影响，文章通过理论计算和实测获得不同能源使用时释放的各类污染物量，由此进一步计算出使用能源的环境污染转化系数。以此在现有能源数据库的基础上定量地研究企业不同产品，不同生产工序的能耗与环境负荷的关系。本文以冶金生产为例，研究了从烧结、炼铁直至最后轧制、加工成材的各类产品全生产过程的环境负荷，研究结果表明，不同工序生产过程的环境负荷有限大的不同；同一产品不同工艺过程，对环境负荷影响也很大。     

从劳动契约角度看近代以来中国劳动关系的发展历程

近代以来中国劳动关系主要经历了外源型、计划型、市场型和社会主义和谐劳动关系四个发展阶段，其中最后一个阶段的目标尚未实现。在构建社会主义和谐劳动关系的过程中，劳动契约可以说是劳动关系发展状况的晴雨表。本文正是从劳动契约角度对中国劳动关系的变迁进行探讨，力求理清中国劳动关系的发展历程，展望和谐劳动关系的发展前景。     

浅谈电力系统的负荷预测

电力系统运行的经济性是一个值得注意的问题，如果对电力系统的分配进行优化，就可以提高发电总效率，减少电网损耗，节约发电量可达0．6％至2％。过去有些人对这种观点还不置信，但经过与实际运行情况反复对比，现在已深信不疑。要想将电力系统的负荷分配进行合理的优化。那么就要对电力负荷进行预测。     

岗位劳动评价中劳动环境评价标准的探讨

讨论了在建材企业岗位劳动评价中，劳动环境评价的标准问题。认为，由于建材行业的特殊性及岗位劳动评价的目的性等原因，岗位劳动环境的评价标准，不应硬套现有的国家标准或部颁标准，而应根据企业的实际情况自定标准，提出了自定标准的原则     

穿越“环境高山”——论经济增长过程中环境负荷的上升与下降

把描绘发达国家经济增长过程中的环境负荷曲线比喻成“环境高山”。强调了发展中国家，尤其是中国，发展经济的正确之路是：从“环境高山”的半山腰穿过去，走新型工业化道路。推导了环境负荷与GDP之间的关系式，其中GDP年增长率g和单位GDP环境负荷年下降率t是两个关键变量。以一些国家和中国的一些省份为实例，分析了经济增长与能源消费量之间的关系。在不同的假设条件下，计算了2005，2010，2020年中国的环境负荷，并以能源消耗为例，做了进一步的说明。     

云计算环境下智能电网短期负荷预测方法研究

智能电网短期负荷波动性大,传统预测方法无法解决波动性问题,预测结果不准确。为此,提出一种新的云计算环境下智能电网短期负荷预测方法。介绍了支持向量机理论,将一个含有所有某类样本在内的、由支持向量支撑的球面看作超球面,分析了分位数回归过程,将支持向量机和分位数结合在一起,构建支持向量-分位数回归预测模型。得到短期负荷概率密度函数,从而实现智能电网短期负荷预测。在进行实验时,完成对功率采样值和智能电网负荷属性的归一化处理,将其转换成[0,1]区间内的数据。实验结果表明,所提方法预测精度和效率高、成本低。     

Markedness and its Interpretation in Language Use

Language markedness is a common phenomenon in languages, and is reflected from hearing, vision and sense, i.e. the variation in the three aspects such as phonology, morphology and semantics. This paper focuses on the interpretation of markedness in language use following the three perspectives, i.e. pragmatic interpretation, psychological interpretation and cognitive interpretation, with an aim to define the function of markedness.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

低渗透非均质砂岩油藏启动压力梯度研究

理论推导与室内实验相结合,建立了低渗透非均质砂岩油藏启动压力梯度确定方法。首先借助油藏流场与电场相似的原理,推导了非均质砂岩油藏启动压力梯度计算公式。其次基于稳定流实验方法,建立了非均质砂岩油藏启动压力梯度测试方法。结果表明:低渗透非均质砂岩油藏的启动压力梯度确定遵循两个等效原则。平面非均质油藏的启动压力梯度等于各级渗透率段的启动压力梯度关于长度的加权平均;纵向非均质油藏的启动压力梯度等于各渗透率层的启动压力梯度关于渗透率与渗流面积乘积的加权平均。研究成果可用于有效指导低渗透非均质砂岩油藏的合理井距确定,促进该类油藏的高效开发。     

On Tragic Consciousness In The Works By Ernest Hemingway

As an American modern novelist who were famous in the literary world, Hemingway was not a person who always followed the trend but a sharp observer. At the same time, he was a tragedy maestro, he paid great attention on existence, fate and end-result. The dramatis personae's tragedy of his works was an extreme limit by all means tragedy on the meaning of fearless challenge that failed. The beauty of tragedy was not produced on the destruction of life, but now this kind of value was in the impact activity. They performed for the reader about the tragedy on challenging for the limit and the death.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

Achieving Unusual States of Matter Under High Pressure

正The periodicity of the elements and the non-reactivity of the inner-shell electrons are two related principles of chemistry,rooted in the atomic shell structure.Within compounds,Group I elements,for example,invariably assume the+1 oxidation state,and their chemical properties differ completely from those of the p-block elements.These general rules govern our understanding of chemical structures and reactions.Using first principles calcula-     

Exchange-Correlation and Electronic Excitation Energies from Pairing Matrix Fluctuations

We have developed an adiabatic connection to formulate the ground-state exchange-correlation energy in terms of pairing matrix linear fluctuations.This formulation of the exchange-correlation energy opens a new channel for density functional approximations based on the many-body perturbation theory.We illustrate the potential of such approaches with an approximation based on the particle-particle Random Phase Approximation(pp-RPA).This re-     

Density Functional Theory for the Response of Periodic Systems to Electric Fields Based on the Vector Potential Approach

正The electronic and nuclear(structural/vibrational)response of 1D-3D nanoscale systems to electric fields gives rise to a host of optical,mechanical,spectral,etc.properties that are of high theoretical and applied interest.Due to the computational difficulty of treating such large systems it is convenient to model them as infinite and periodic(at least,in first approximation).The fundamental theoretical/computational problem in doing so is that     

On the Thermodynamic Limit for Responses to Static Electromagnetic Fields

For molecular systems,the quantum-mechanical treatment of their responses to static electromagnetic fields usually employs a scalar-potential treatment of the electric field and a vector-potential treatment of the magnetic field.Although the potential for each field separately is associated with the choice of an(unphysical)origin,the precise choice of the origin for the electrostatic field has little consequences for the results.This is different for the