Water quality changing trends of the Miyun Reservoir

In order to simulate changes in the water quality of the Miyun Reservoir dueto continuous descent of surface water level, a 3-D ecological hydrodynamic model was developedthrough coupling the water quality analysis simulation program (WASP) with the environmental fluiddynamics code (EFDC). The model was then calibrated and verified. Four scenarios (S1, S21, S22 andS23) were simulated using the model. Results show that the water quality of the Miyun Reservoirunder conditions of low surface water level is apparently affected by different amounts of inflowand different total phosphorus (TP) loadings. The chlorophyll-a concentration might exceed 10 μg/Lin many areas of the Miyun Reservoir (This limitative value is seen as a critical value ofeutrophication) when large loadings of TP enter due to the amount of inflow increasing. Results ofscenario S23 indicate that control of TP loadings can decrease chlorophyll-a concentrationeffectively, and the water quality of the Miyun Reservoir will improve or retain its status quo.

让小组建设在优化课堂形态中释放正能量

小组合作学习形式适应了社会发展对人才培养模式的需求，而小组合作学习效果主要取决于小组建设。小组建设的重点在于根据“组内异质，组间同质”的原则合理分组，亮点在于积极向上的小组文化建构，关键在于营造良好的小组合作交流氛围和健全人人参与的小组运转机制，难点在于建立科学的学情分评价体系。

An improved brain emotional learning algorithm for accurate and efficient data analysis

To overcome the deficiencies of high computational complexity and low convergence speed in traditional neural networks, a novel bio-inspired machine learning algorithm named brain emotional learning （BEL） is introduced. BEL mimics the emotional learning mechanism in brain which has the superior features of fast learning and quick reacting. To further improve the performance of BEL in data analysis, genetic algorithm （GA） is adopted for optimally tuning the weights and biases of amygdala and orbitofrontal cortex in BEL neural network. The integrated algorithm named GA-BEL combines the advantages of the fast learning of BEL, and the global optimum solution of GA. GA-BEL has been tested on a real-world chaotic time series of geomagnetic activity index for prediction, eight benchmark datasets of university California at Irvine （UCI） and a functional magnetic resonance imaging （fMRI） dataset for classifications. The comparisons of experimental results have shown that the proposed GA-BEL algorithm is more accurate than the original BEL in prediction, and more effective when dealing with large-scale classification problems. Further, it outperforms most other traditional algorithms in terms of accuracy and execution speed in both prediction and classification applications.

Expanding Zizek＇s Analysis： Women, Beer, Men, and Frogs

In How to Read Lacan, noted cultural theorist, Slavoj Zizek, addresses a ＂comedic,＂ British, beer commercial to highlight an element of Lacanian psychoanalysis （i.e., obj et petit a）. Although his use of the commercial serves his purpose, Zizek only dedicates one paragraph to it. This work significantly expands Zizek＇s initial interpretation by （1） contextualizing the commercial＇s plotline via comparison to other, similar mythological plots; （2） examining how the visual arrangement and narrative structure work to construct gender; and （3） addressing beauty via the Lacanian ＂demand＂ and ＂desires＂ made manifest within the text.

Under the Skin. Intangible Components as the Basic Realities of Contemporary Post-bureaucratic Organizations： A Sociological Perspective

This article attempts to analyze, through a re-reading of the present sociological literature on the organization （that explores the organizations themselves in terms of ＂tacit＂ rather than ＂explicit＂, ＂socio-cultural systems＂ rather than ＂socio-technical systems＂）, the main intangible components that may affect the organizational live and all the organizing in general for the good or the evil, with respect to the ＂success＂ rather than the ＂failure＂ of the ＂in and out＂ organizational acting. There are then some sorts of ＂basic assumptions＂, deemed indispensable, also because they are still there and live in organizations but they do not always have a careful importance. Therefore the objective of the article is to describe them highlighting their salience and attempt to define parameters for further in-depth studies.

Label distribution expression recognition algorithm based on asymptotic truth value

Ambiguous expression is a common phenomenon in facial expression recognition(FER).Because of the existence of ambiguous expression,the effect of FER is severely limited.The reason maybe that the single label of the data cannot effectively describe complex emotional intentions which are vital in FER.Label distribution learning contains more information and is a possible way to solve this problem.To apply label distribution learning on FER,a label distribution expression recognition algorithm based on asymptotic truth value is proposed.Under the premise of not incorporating extraneous quantitative information,the original information of database is fully used to complete the generation and utilization of label distribution.Firstly,in training part,single label learning is used to collect the mean value of the overall distribution of data.Then,the true value of data label is approached gradually on the granularity of data batch.Finally,the whole network model is retrained using the generated label distribution data.Experimental results show that this method can improve the accuracy of the network model obviously,and has certain competitiveness compared with the advanced algorithms.

基于教学分析的高中英语阅读课教学设计

根据对一节高中英语阅读课的教学设计，研究者围绕教学内容分析和学情分析来设定教学目标和教学重点、难点，并依据所分析的内容设计每个教学环节，能使教学环节在适应学生情感需要和知识能力的基础上帮助学生逐一突破教学重点和难点，达成教学目标。

“交通与数学”教学设计

【教学内容】义务教育新课程标准实验教科书北师大版第五册P52~P53的内容。【教材分析】北师大版小学数学实验教材第五册第五单元"周长"的最后一个课时安排了"交通与数学"这一综合实践课。"交通与数学"

Joint Funds of National Natural Science Foundation of China:Strategy,Practice and Development

Joint Funds of National Natural Science Foundation of China （ NSFC ） are initiated by different stakeholders, which aim to play a better 9ufdin9 role to support basic research in specific areas and directions. They have formed an important part of the national natural science funding system, which is responsible for advancing science and technology in an expanding frontier. The article would briefly summarize the joint funds strategic goals, programs implementation and achievements in the past decade, and provide a perspective on their future development.