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白 三 叶 抗 旱 生 理 的 研 究  [PDF]
金忠民,沙 伟
北方园艺 , 2010, DOI: 10.11937/bfyy.201018019
Abstract:
以理义悦其心:岳麓书院学规对当代高校学生 手册的启示
Being Pleasured by Reason and Justice: The Enlightenment of School Regulations of Yuelu Academy to Contemporary Student Handbook of University
 [PDF]

李盛幸,姜正国
- , 2016,
Abstract: 岳麓书院学规,虽几经流变,却一直“以理义悦其心”为 特点,具体体现在以“理义”为核心,以讲究求道、择良友、贵笃 行为核心,激发学生内心向善的本性;以“徽言”为载体,讲究 以温婉劝勉式的语言表达对学生的尊敬与诚意,使学生易于从 心底接受;并最终以“悦其心”为目的,培养了大批爱国、为民的 思想家。这为当代高校学生手册提供了启示:核心理念的转变, 即由从上而下的管理者到“以理义悦其心”的引导者;内容的转 变,即由重智育、行为规范的内容转变为加强德育的内容;话语 的转变,即由严肃刻板的语言转变为温婉劝勉式的语言等。
Although the school regulations of Yuelu Academy have been changed for several times, it were always featured by “pleasured by reason and justice”. In detail, it used “reason and justice” for core, which means using seeking Tao, selecting good companion, practicing sincerely for core to stimulate students’ nature of goodness. It used “tactful expressions” for carrier, which means using mild and advising words to express the esteem and sincerity of students. It used “pleasing students” for purpose, cultivating a lot of patriotic thinkers. All those enlighten the Student Handbook of university nowadays, such as the transformation of core idea, contents, expression, etc.
非稳态轴对称度规的坐标变换  [PDF]
张镇九
科学通报 , 1986,
Abstract: 非稳态轴对称度规可表为
Future Policies and Strategies for Oil Shale Development in Jordan
Jamel O. Jaber,Thomas A. Sladek,Scott Mernitz,T. M. Tarawneh
Jordan Journal of Mechanical and Industrial Engineering , 2008,
Abstract: Indigenous oil shale deposits could satisfy Jordan’s demand for liquid and gaseous fuels as well as electricity for manycenturies. Markets also exist for raw and retorted oil shale, spent shale, and for sulfur recovered during the upgrading andrefining of crude shale oil. Although the potential benefits of oil shale development are substantial, complex and expensivefacilities would be required, and these have serious economic, environmental, and social implications for the Kingdom and itspeople. In January 2006, the United States Trade and Development Agency (USTDA) awarded a grant to the JordanianMinistry of Planning and International Cooperation to support the analysis of current oil shale processing technologies andthe application of international expertise to the development of a oil shale industry in Jordan. The goal of the technicalassistance project was to help the Governement of Jordan (GoJ) establish short- and long-term strategies for oil shaledevelopment and to facilitate the commercial production of shale oil in the country. This paper discusses the results of theproject. The Kingdom’s current energy situation and its previous work on oil shale are summarized, and the incentives andrestraints on oil shale commercialization are described. Impediments to development are identified, and possiblegovernmental responses are assessed
二维氧化钛纳米页  [PDF]
石建稳,陈少华,崔浩杰,付明来
化学进展 , 2012,
Abstract: 单层氧化钛纳米页(titaniananosheets)是一种厚度仅为0.7nm的新型二维纳米材料,具有许多不同于块体氧化钛的优异性质,如高各向异性、单晶性质、胶体和聚电解质特性、大比表面积、高表面能和量子尺寸效应等。在光电转换、磁光效应、高介电常数器件、电化学能量储存、湿敏传感器、自清洁和光催化等领域极具应用前景。本文首先总结了氧化钛纳米页的基本性能,如光吸收性能、光致发光性能、光电化学性能、光诱导亲水性能和晶相转变温度差异等,概述了氧化钛纳米页的制备及组装方法,接着分别以薄膜片、纳米管、中空微球、超薄多层复合薄膜为代表,介绍了氧化钛纳米页组装得到的新型材料及其特点,然后介绍了氧化钛纳米页的掺杂改性,从拓宽光吸收带边、提高电子迁移速率和提高磁光效应三个角度,归纳总结了离子掺杂与氧化钛纳米页性能之间的关系,最后对氧化钛纳米页未来的研究发展趋势提出了展望。
碧 桃 采 后 衰 老 生 理 的 研 究  [PDF]
夏晶晖
北方园艺 , 2010, DOI: 10.11937/bfyy.201017078
Abstract:
高 羊 茅 草 坪 草 抗 热 性 生 理 研 究  [PDF]
龚雪梅
北方园艺 , 2010, DOI: 10.11937/bfyy.201019038
Abstract:
大 组 织 理 论 研 究
The Overview of Big Organization
 [PDF]

郑湛,徐绪松,朱国宾,赵伟,郑小京
ZHENG Zhan
,XU Xusong,ZHU Guobin,ZHAO Wei,ZHENG Xiaojing

- , 2015,
Abstract: 摘要 提出“大组织”这一个使得组织具有智慧的宏观动态管理理论,给出了大组织智慧的含义,以及使得组织成为智慧型组织的大组织五边形智能结构,包括:视角(宽阔的视野看待组织行为)、观念(全新的观念认识组织)、运作模式(把优秀资源吸引到组织中来,能够产生群聚效应的引力型运作模式)、平台(将自身的核心竞争力与其他的组织优势互补,共创价值的平台生态系统)、理念(从人性出发,通过关爱强大组织自身)
页迁移系统中反向页表技术的设计与实现  [PDF]
杜静 戴华东 杨学军?
计算机科学 , 2004,
Abstract: 页迁移技术是实现cc-numa存储优化的一种重要策略,它动态开发了数据的局部性。页迁移策略的实现涉及到虚存系统中物理地址到虚拟地址的转换,传统做法需要遍历所有进程的虚拟地址空间,效率低、开销大。针对此问题,本文介绍了一种能够高效实现物理地址到虚拟地址转换的技术——反向页表技术,着重介绍了反向页表的设计、实现和维护方法。
Geomechanical Properties of Unconventional Shale Reservoirs  [PDF]
Mohammad O. Eshkalak,Shahab D. Mohaghegh,Soodabeh Esmaili
Journal of Petroleum Engineering , 2014, DOI: 10.1155/2014/961641
Abstract: Production from unconventional reservoirs has gained an increased attention among operators in North America during past years and is believed to secure the energy demand for next decades. Economic production from unconventional reservoirs is mainly attributed to realizing the complexities and key fundamentals of reservoir formation properties. Geomechanical well logs (including well logs such as total minimum horizontal stress, Poisson’s ratio, and Young, shear, and bulk modulus) are secured source to obtain these substantial shale rock properties. However, running these geomechanical well logs for the entire asset is not a common practice that is associated with the cost of obtaining these well logs. In this study, synthetic geomechanical well logs for a Marcellus shale asset located in southern Pennsylvania are generated using data-driven modeling. Full-field geomechanical distributions (map and volumes) of this asset for five geomechanical properties are also created using general geostatistical methods coupled with data-driven modeling. The results showed that synthetic geomechanical well logs and real field logs fall into each other when the input dataset has not seen the real field well logs. Geomechanical distributions of the Marcellus shale improved significantly when full-field data is incorporated in the geostatistical calculations. 1. Introduction Shale gas reservoirs, which are also called source rock reservoirs (SRR), have some unique attributes that make hydraulic fracturing an essential option in order to commence an economic level of the natural gas production. Unlike conventional gas reservoirs, insufficient permeability, ultra-low porosity of shale rock, and limited reservoir contact area, but vastly organic-rich formation, cannot offer production in a commercial value without stimulation processes. Many studies are conducted from shale pore-scale level to field scale reservoir simulations to improve the understanding of complex flow behavior that are developed and discussed through numerical, analytical, and semianalytical reservoir models for unconventional reservoirs [1–10]. However, in order to predict the performance of a shale gas reservoir, implementing accurate shale rock properties is essential for developing a geologic model for the entire asset. Hence, it is very critical to access more data while working on an unconventional reservoir. In this study, synthetic data are generated using artificial intelligence and data mining techniques (AI&DM). Principal stress profile of an oil and gas reservoir depends highly on the rock
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