浅谈加强党内监督的几种途径

本文以从严治党、加强党风廉政建设的角度出发,提出加强党内监督的三个途径,以便抓好党员干部廉洁自律,遏制腐败现象,建立一整套行之有效的党内监督机制,用制度来保证党内监督的有效开展。     

Send in the Clones ... Don't Bother, They're Here

The creation of a cloned sheep from mammary tissue has raisedmajor social concern, and much talk about major ethical issuesoccasioned by this technology. It is necessary to separategenuine from spurious ethical issues here, a task made failureto initiate ethical discussion and explanation of new technologyas well as by fear reactions in society. As in geneticengineering of animals, issues about cloning fall into threecategories – suggestions that the technology is inherently wrong,risk emerging from the technology and harm to the creatureengendered. The issues regarding the cloning of humans can beanalyzed using the same categories.     

淮河下游地区森林资源及其经营管理对策

本文论述了淮河下游地区常绿针叶林、落叶阔叶林，落叶常绿阔叶混交林，竹林等森林资源类型的特征，分析了该地区森林资源在经营管理中存在的问题，提出了应采取的森林资源经营管理对策。     

环境医学：人类生存发展战略的大课题

文章用大量翔实数据，分析论证：人类由于淡化环境意识，坚持急功近利的片面发展观，造成整个地球环境质量正在全面下降和恶化，全球已有１／５的人口受到环境污染之害的基点上，作者提出了只有跳出以自我生存为中心的狭隘圈，确立发展环境医学为主体的预防医学战略，并提示要遵循中国古代强调的“天人合一”论概念和钱学森提出的“开放的巨系统方法论”在当代科技领域进行“天地生人巨系统的综合集成研究”，树立“天地与我并生，万物与我同运”的自然生态观，为创建“生物心理社会自然”为模式的全科新医学，这是实现２１世纪“人类健康工程”的开拓性目标。     

岷江干流（成都段）水体污染防治对策研究

本文通过对岷江干流（成都段）地表水和地下水的综合研究，分别提出了地表水污染防治对策和地下水水质防护措施，划分出了地表水防治不同时期的目标以及地下水开采管理目标。     

论灾害管理与经济发展的辩证关系

本文以ＡＢＣ分类法说明了减轻地震灾害的重要意义，指出了地震灾害绝对损失数额一般会随社会经济发展而逐渐增大这一客观事实。文中提出了表达地震灾害危险性、防抗灾工程投资和社会经济发展关系的一般数学模型，对灾害管理与经济发展的辩证关系进行了讨论。     

评价自然灾害健康效应及其需要的指标体系

介绍了评价自然灾害健康效应及其需要的指标体系。提出通过调查死亡、伤亡、患病等，分析其与灾区人口、特定年龄人群、职业、习惯、地理位置、时间分布等关系，来科学评价灾害的严重性，提出救灾技术措施和确定主要卫生服务内容，保护易感人群，为灾后进行建筑物结构或位置的易感性分析以及制定防灾减灾计划提供科学依据。     

神经网络及其在水库调洪演算中的应用

结合洪水灾害管理的特点建立了水库调洪演算的人工神经网络模型，阐述了其基本原理及算法，并结合某水库调洪演算实例说明了其应用。     

减缓贫水化过程的途径再议

根据贫水化的严重形势，应用水循环的原理，提出了减缓贫水化的几个主要途径，对解决城市淡水短缺有参考意义。     

NATURAL EROSION RATES AND THEIR PREDICTION IN THE IDAHO BATHOLITH1

ABSTRACT: Natural rates of surface erosion on forested granitic soils in central Idaho were measured in 40 m² bordered erosion plots over a period of four years. In addition, we measured a variety of site variables, soil properties, and summer rainstorm intensities in order to relate erosion rates to site attributes. Median winter erosion rates are approximately twice summer period rates, however mean summer rates are nearly twice winter rates because of infrequent high erosion caused by summer rainstorms. Regression equation models and regression tree models were constructed to explore relationships between erosion and factors that control erosion rates. Ground cover is the single factor that has the greatest influence on erosion rates during both summer and winter periods. Rainstorm intensity (erosivity index) strongly influences summer erosion rates, even on soils with high ground cover percentages. Few summer storms were of sufficient duration and intensity to cause rilling on the plots, and the data set was too small to elucidate differences in rill vs. interrill erosion. The regression tree models are relatively less biased than the regression equations developed, and explained 70 and 84 percent of the variability in summer and winter erosion rates, respectively.