人之生命生成的文化自觉

人创造文化,实质上是在生成着自己的生命。人怎样创造文化,就怎样理解生命与生成生命。人之历史与人之文化传统应当从对特定生命的理解与生成来把握。西方资本主义现代化作为西方民族生命生成方式,只具有地方意义。中国文化作为中华民族生命生成方式,其基本精神是"尚德"、"尚和",其方式是"融合兼容型"的生成方式。从生命生成方式来理解文化创造,从生命自觉来理解文化自觉更是马克思实践唯物主义历史观和共产主义思想的根本意蕴。

论《太一生水》的“生命生成论图式”特征

《太一生水》作为一种有着明显道家特征却又独异于先秦典型宇宙生成论图式的篇章,其风格的迥异与逻辑上的缺陷使之饱受质疑。通过《太一生水》与《黄帝内经》等相关医学文献的关联对比分析,可以发现二者在理论构建、概念的使用乃至一些细节方面有着高度的相关性。进一步推论,这种相关性背后的可能真相是:《太一生水》是一篇关于生命的生成论图式而非典型的宇宙生成论图式。沿着此图式出发,许多矛盾和疑惑也可以得到合乎逻辑的解释。而道家哲学养生学如何开出中医学脉亦在此篇章中找到承启的枢机。

让生命诗意地栖居在教育管理中

在市场经济高速发展的背景下,现代教育管理普遍存在教育目标崇尚效率、教育过程追求量化可控及教育评价倾向优胜劣汰的管理导向,最终导致生命的生成性发展在现代教育管理中处于弱势地位。由此,教育管理活动应注重对生命发展需要的关怀,秉持使人成其自身的教育管理理念,并以满足人之发展需要的教育管理目的,建立教育管理中各主体间平等和谐的交往关系,最终走向"成人"的教育管理。

论教育实践的生命品性

人是实践的生命价值存在,教育实践是实践的一种具体方式。教育实践是教育主体的生命实践活动,是教育主体的生命存在方式和生命成长途径。教育主体参与教育实践的过程本质上就是在生命对话与交流的基础上实现生命成长与生命价值提升的过程,就是师生生命本质实现、确证、生成与彰显的过程。教育实践蕴含着深刻的生命品性,它坚持教育主体的生命立场,以人的生命价值提升为旨趣,注重生命生成与关怀生命,追求教育主体生命成长和生命世界的丰盈,彰显出丰富的生命特性和浓厚的生命情怀。

融合生命的主题教学——苏教版语文必修五“直面人生”专题教学摭谈

科学理性遮蔽了语文教育的文化意蕴,新课标从文化本位的高度认识语文的文化教育本质,在人文指引下的语文教育应当充分关注人的文化生命。在语文教学中渗透生命教育是新课标视野下语文教学的新的使命和新的内容。以苏教版必修教材专题教学为切点,倡导生命主题教学,主张生命教育要走和语文阅读教学融合之路。

Service Life Prediction and Management of Concrete Bridge Structures Due to Corrosion

The increasing stocks of public infrastructure and serious deterioration of infrastructure systems due to corrosion present great financial, safety, technical and operational challenges to government organizations in charge of public infrastructure development and management. To meet those challenges, a performance-based life-cycle management model for reinforced concrete structures was proposed in this paper. This model predicts the life-cycle performance of infrastructure based on the corrosion-induced deterioration mechanism： condition index as well as performance limit states. A case study is provided to demonstrate the use of the proposed performance-based life-cycle cost management model.

Sequential fault diagnosis strategy with imperfect tests considering life cycle cost

The problem of sequential fault diagnosis is to construct a diagnosis tree that can isolate the failure sources with minimal test cost. Pervious sequential fault diagnosis strategy generating algorithms only consider the execution cost at application stage, which may result in a solution with poor quality from the view of life cycle cost. Furthermore, due to the fact that uncertain information exists extensively in the real-world systems, the tests are always imperfect. In order to reduce the cost of fault diagnosis in the realistic systems, the sequential fault diagnosis problem with imperfect tests considering life cycle cost is presented and formulated in this work, which is an intractable NP-hard AND/OR decision tree construction problem. An algorithm based on AND/OR graph search is proposed to solve this problem. Heuristic search based on information theory is applied to generate the sub-tree in the algorithm. Some practical issues such as the method to improve the computational efficiency and the diagnosis strategy with multi-outcome tests are discussed. The algorithm is tested and compared with previous algorithms on the simulated systems with different scales and uncertainty. Application on a wheel momentum system of a spacecraft is studied in detail. Both the simulation and application results suggest that the cost of the diagnosis strategy can be reduced significantly by using the proposed algorithm, especially when the placement cost of the tests constitutes a large part of the total cost.

Life Cycle Cost of Electricity Generation from Biomass Gasifier

India is having more than 500,000 villages of which about 85% have been electrified. But as per RGGVY （Rejiv Gandhi Grammen Vidyutikaran Yojana）, the rate of village electrification is much lower as household connectivity has been fairly low. The rest 15% villages and a larger proportion of households have to be electrified. Villages have been a major concern as cost of electrification is fairly high. The most favored alternative to any kind of users is generation of electricity from diesel generating sets and renewable sources of energy. But the capital cost of renewable energy equipments is fairly high. Gradually, there is a reduction in the prices of these systems due to availability of better technological options and they are becoming competitive to grid electricity. In this paper, an attempt has been made to calculate the cost of production of electricity from stand-alone, off-grid devices biomass gasifiers （both dual fuel and pure gas type） and compare with that of diesel generating sets by using the concept of LCC （life cycle costing） and Homer software. It is found that the cost of per unit electricity generation （kWh） has been always the lowest in comparison to diesel generating sets even if the price of biomass increases to some extent.

Insight into the reasons of leaf wax δD_(n-alkane) values between grasses and woods

Many studies have observed that leaf wax δDn-alkane values differed significantly between woods and grasses in modern plants, with grasses D-depleted by 40 %0-70 ‰. The reasons for the differences in leaf wax δDn-alkane values between woods and grasses, however, remain unclear. In this study, we measured the δD values of soil water （δDsw）, leaf water （δDlw）, and leaf wax n-alkane （δDn-alkane） for woods and grasses. We found no significant differences in the δD values of soil water （P = 0.82） and leaf water （P= 0.74） between the two life forms of plants. Therefore, the differences in leaf wax δDn-alkane values between woods and grasses may correlate with inherent properties of different plant life forms, such as leaf structures, biosynthetic processes, and leaf morphologies. Moreover, it is also possible that soil water with different 6Dsw at different depths utilized by woods and grasses may be responsible for some of the differences in leaf wax δDn-alkane values between the two life forms of plants, if woods mainly use soil water from the 〉100 cm depth, whereas grasses mainly use soil water from the 〈100 cm depth. The results of this work allow us to better understand the leaf wax δDn-alkane values of different plant life forms in a region.

Serpentinization, abiogenic organic compounds, and deep life

The hydrocarbons and other organic compounds generated through abiogenic or inorganic processes are closely related to two science subjects, i.e., energy resources and life＇s origin and evolution. ＂The earth＇s primordial abiogenic hydrocarbon theory＂ and ＂the serpentinization of abiogenic hydrocarbon theory＂ are the two mainstream theories in the field of related studies. Ser- pentinizafion generally occurs in slow expanding mid-ocean ridges and continental ophiolites tectonic environment, etc. The abiogenic hydrocarbons and other organic compounds formed through the serpentinization of ultramafic rocks provide energy and raw materials to support chemosynthetic microbial communities, which probably was the most important hydration reac- tion for the origin and early evolution of life. The superposition of biological and abiological processes creates big challenge to the identification of the abiogenic organic materials in serpentinite-hosted ecosystem. Whether abiotic （inorganic） process can form oil and gas resource is a difficult question that has been explored continuously by scientific community for more than a century but has not yet been solved. However, some important progress has been made. The prospecting practice of abiogenic hydrocarbons in commercial gases from the Songliao Basin, China, provides an important example for exploring abiogenic natural gas resources.

A dynamic influence model of social network hotspot based on grey system

The outbreak of hotspot in social network may contain complex dynamic genesis. Using user behavior data from hotspots in social network, we study how different user groups play different roles for a hotspot topic. Firstly, by analyzing users' behavior records, we mine group situation that promotes the hotspot.Several major attributions in a hotspot outbreak, such as individual, peer and group triggers, are defined formally according to the view-point of social identity, social interaction, retweet depth and opinion leader. Secondly,for the problem of the uneven and sparse data in each stage of hotspot topic's life cycle, we propose a dynamic influence model based on grey system to formalize the effect of different groups. Then the process of hotspot evolution driven by distinct crowd is showed dynamically. The experimental result confirms that the model is able not only to qualify users' influence on a hotspot topic but also to predict effectively an upcoming change in a hotspot topic.