铝厂污水零排放研究

本文从水质方面分析了西南某铝厂污水零排放的可行性。为了实现污水零排放,对该铝厂东片区、氧化铝厂、热电厂三大污水处理系统进行改进。从现场试验监测及统计分析结果表明,改进后的处理系统处理的水质满足再生水水质指标要求,该铝厂污水零排放的实现创造了极大的经济和社会效益。     

Effects of self evaluation on late ERP components

High-density event-related potentials (ERPs) were measured when participants were required to evaluate oneself, significant others (father and mother) and the most familiar public figures (Lei Feng and Jiang Qing) based on trait adjectives. There were three referential conditions and a non-referential control condition including self-evaluation (SE), significant other-evaluation (SOE), general other-evaluation (GOE), and semantic positivity-evaluation (SPE). The behavioral data showed that RTs to GOE condition were longer than the other three conditions. Scalp ERP analysis revealed that (1) SPE condition elicited a more negative N2 than SE condition, which was associated with inhibition of responses; (2) SE condition elicited a more positive P300 than SPE condition, which was an index of attention to self-relevant stimuli; (3) there was no difference on the amplitude and latency of P300 between SE and SOE conditions, which reflected that the concept of “self” included intimate others (e.g., father and mother) in Chinese culture.     

改善20CrMnTiH淬透性的研究

莱钢特钢厂20CrMnTiH钢材成分波动较大,淬透性带HRC8～10,范围较大,制约了齿轮钢质量的进一步提高.通过研究,发现铸坯中心偏析尤其是碳偏析为主要问题.通过工艺优化采取各项措施,尤其增加电磁搅拌后,中心碳偏析得到明显改善;C控制在0.19%～0.20%的炉次达到了95.6%;淬透性带控制在HRC6内的达到了92.1%;在HRC4内的达到了86.2%;提高了产品质量,满足了用户需求.     

素质教育在剑桥商务英语教学中的应用

在高等教育中，素质教育已经成为中国教育改革和人才培养的指导思想。只有重视素质教育，使科学教育与素质教育整合，才能培养出高科技与高素质相结合的专门人才服务于社会。剑桥商务英语教学中应用素质教育极大的提高了教学效果。通过应用素质教育，培养学生在掌握商务英语基本概念和词汇的基础上，提高学生解决实际商务问题的能力，引导他们全面地、辩证地思考问题，引导他们把书本知识和社会实践联系起来，重视实际斗争经验。     

高等院校教材管理信息系统的分析与设计实现

主要论述了我们为高等院校教材管理所开发的一套计算机管理信息系统的设计思想与实现方法,由于本系统具有使用方便、操作简单,安全稳定,工作流程清晰合理,并与用户熟悉的工作方式相一致,用户无需专业培训即可使用该系统进行工作等特点,因此,深受用户的欢迎。     

The Difference of the Pulmonary-Artery Pressure of the Migrants from Difference Elevation at the 4636 - 4907 m Altitude

Study Objective： To compare and analyze the changes of the pulmonary-artery pressure of the migrants coming from different elevation in the hypoxic environment of 4636 - 4907 m extreme altitude. To explore the susceptibility to hypoxic pulmonary-artery hypertension （PH） in the subjects from different altitude and profession. Methods： By using Color Doppler Ultmsonography （CDU）, measuring the pulmonary-artery pressure of 207 healthy men, who had continuously being lived and worked at the extreme altitude for more than six months, and then were divided into three groups according to their profession and the altitude of original living place. Results： There was a significant difference in the outcomes of pulmonary-artery pressure from the 3 groups. Conclusions： Altitude of original living place, labor intensity are some of factors that impact the pulmonary-artery pressure of the people who exposure to a hypoxic environment. The pulmonary- artery pressure of person without strenuously physical work experience was more sensitive to hypoxic surroundings than that of labor workers. It was not always the fact at an extreme altitude that the moderate altitude mountaineers were superior to other migrants from a lower altitude or plain. The higher PH was found in the groups of the moderate altitude mountaineers and labor workers. It is unlikely certain that one with PH would surfer from HAPE.     

西方休闲伦理的历史演变

休闲作为一种独特的文化现象，体现着人类的道德文明和文化伦理水平。西方休闲学科的发展已经有一百多年的历史。但在我国还处于起步阶段。本文以休闲与工作关系交结变化的历史视角，着重探讨了古希腊以来西方休闲伦理的发展与演进，及其四个大历史时空中休闲伦理的不同作用和地位。从伦理视角研究休闲文化现象，对于扩展休闲研究的视域及加强当前道德文化建设都具有重要的现实意义。     

求解Po-函数非线性互补问题的一个下降牛顿算法

构建了一个新的光滑价值函数来求解Po-函数非线性互补问题.区别于以往所构建的价值函数,构建的新的光滑价值函数不含任何光滑参数.对于Po-函数,可以得到,此价值函数的任一稳定点都是非线性互补问题的解.基于这个简单的光滑价值函数,提出了求解Po-函数非线性互补问题的一个下降牛顿算法.在适当的条件下,该算法的全局收敛性及局部超线性(二次收敛性)也得到了证明.     

规范会计基础工作 提高经营管理水平

文章从会计基础工作的重要性入手,对会计基础工作的含义、范围作了说明,从现实存在的会计基础工作的薄弱环节及产生原因、解决措施方面作了阐述。     

Finding finer functions for partially characterized proteins by protein-protein interaction networks

Based on high-throughput data, numerous algorithms have been designed to find functions of novel proteins. However, the effectiveness of such algorithms is currently limited by some fundamental factors, including (1) the low a-priori probability of novel proteins participating in a detailed function; (2) the huge false data present in high-throughput datasets; (3) the incomplete data coverage of functional classes; (4) the abundant but heterogeneous negative samples for training the algorithms; and (5) the lack of detailed functional knowledge for training algorithms. Here, for partially characterized proteins, we suggest an approach to finding their finer functions based on protein interaction sub-networks or gene expression patterns, defined in function-specific subspaces. The proposed approach can lessen the above-mentioned problems by properly defining the prediction range and functionally filtering the noisy data, and thus can efficiently find proteins’ novel functions. For thousands of yeast and human proteins partially characterized, it is able to reliably find their finer functions (e.g., the translational functions) with more than 90% precision. The predicted finer functions are highly valuable both for guiding the follow-up wet-lab validation and for providing the necessary data for training algorithms to learn other proteins.