手工电弧焊接的劳动保护

随着经济的快速发展,从城市到乡村,从大企业到小型个体户的焊接加工部,从建筑高楼大厦到农民建造住宅,都在大量使用手工电弧焊接作业.     

基于回归分析的火灾发生气象因子的研究

利用二元回归分析法,对火灾发生次数、空气湿度、风速进行回归分析并检验,得出了火灾发生次数、空气湿度、风速三者之间的显著线性关系。     

爆炸物冲击波的人体防护研究

针对爆炸物爆炸冲击波、破片或子弹冲击、高温高压气体热辐射等复杂环境下的人体伤害威胁,本文从人员损伤研究和防护材料研究两方面综述了国内外研究进展,最后为开展人体有效防护研究工作提出了几点建议.     

内分泌干扰物对机体脂质代谢的影响及其机制研究进展

近年来许多动物实验研究表明,内分泌干扰物(endocrine disrupting chemicals,EDCs)暴露除了会损伤生殖、免疫和神经系统等,还能够干扰脂质代谢,增加肥胖、非酒精性脂肪肝和高脂血症等疾病的发病风险.笔者总结了多种EDCs对不同动物模型(哺乳动物、硬骨鱼类、两栖动物)脂质代谢的影响,主要包括促进...     

基于TDLAS的火灾气体探测系统研制

将TDLAS(Tunable Diode Laser Absorption Spectroscopy)技术应用于极早期火灾气体产物的检测.对于火灾早期特征气体CO和CO2气体探测,选择中心波长为1582nm和1607nm的近红外吸收谱线,设计了一个基于TDLAS的火灾气体探测系统.对于CO和CO2气体,最低检测灵敏度分别达到2.3×10-6和22×10-6体积比浓度.该系统信号响应线性度高,长期运行稳定.     

环境-经济系统整合模型的构建研究

环境经济系统整合模型的研究将环境的、经济的、社会的因素整合在可持续发展框架中．模拟、分析经济系统与环境系统之闻的相互作用和反馈关系。本文在分析环境经济系统整合模型构建的背景、理论与方法的基础上．设计了环境经济系统整合模型开发的技术路线．提出了环境经济系统整合模型的主要内容。     

人地关系的危机和性质及协调思维

人地关系危机的本因是人类意识和社会经济行为与其生存环境的潜在利用方向、可承载量之间存在的巨大不整合和全面失衡,其核心是资源问题。人地关系的性质是多种人地关系因子共同作用的区间对应的函数关系。人类应当采取“多管齐下、本标兼治”的协调战略,树立资源中心论观念,着力于改善资源利用结构和效率,改进人地关系的关联方式和复合作用效应,建立多层次的人地协调工程,推动人与自然的根本和解和全面合作,最终实现两者的整体同一化和共生协调化。人与自然的关系是人类思考和认识的永恒主题。目前,人地关系呈现出历史性和全球性的危机,已成为人类生存和发展的根本障碍。探讨危机产生的根源,研究人地关系的性质,并从中确定调控人地关系的基本思维和方式,无疑具有重大的现实意义和理论价值。     

面向可持续发展的国家投资策略

可持续发展战略逼迫投资创新,呼唤着新的国家投资策略。本文分析了可持续发展与投资创新的关系,系统地研究了可持续发展的投资策略,讨论了可持续发展的投资结构问题,有针对性地提出了可持续发展的投资政策建议。     

Molecular sex identification of sable and stone marten

Sable (Martes zibellina) and stone marten (Martes foina) populations are declining sharply and both species are threatened in China. Knowing the sex ratio of a population is important for long-term conservation and development of management plans for endangered marten species. We here describe the application of a novel PCR-RFLP method for sex determination in these two marten species. We developed a new designed primer pair (ZFLB1 and ZFLB2) that yields a smaller ZFX/ZFY PCR product (246 bp), which in combination with RFLP analysis, provides a simple and reliable method for gender determination in Martes zibellina and Martes foina. The method can be used on tissue and non-invasively collected hair samples for sex identification in wild marten populations, and is powerful for monitoring population status and trend of endangered martens.     

International trade,carbon leakage,and CO2 emissions of manufacturing industry

Foreign trade drives China’s growth,but as the trade scale continues to expand,the carbon emissions also increase quickly.Based on the industry panel data from 1996 to 2010,this paper calculates carbon emissions of 27manufacturing industries.According to the intensity of carbon emissions,this paper divides the manufacturing sectors into low carbon and high carbon manufacturing industry and then analyzes the carbon emission trends.Next,the paper uses the feasible generalized least square regression to verify the existence of environmental Kuznets curve（EKC）of the manufacturing industry’s carbon.In order to investigate the carbon leakage problem,the regression also includes the interaction term between trade and industrial value added.Our findings are as follows:the carbon emissions of the whole manufacturing industry and low carbon manufacturing industry accord with the EKC curve,but have a linear relationship with the high carbon manufacturing industry;trade reduces the carbon emissions of the whole manufacturing industry and low carbon manufacturing industry,but it increases those of the high carbon manufacturing industry;for the whole manufacturing industry and low carbon manufacturing industry,there is no carbon leakage,but it exists in the high carbon manufacturing industry.On the whole,pollution haven hypothesis does not hold up in China,and China does not need to limit industry foreign trade to reduce the emission of CO₂.But the manufacturing industry will still be the main engine of the economic growth,and therefore our country should make an effective low-carbon policy,introduce advanced technology,increase R&D investment into lowcarbon technologies,and upgrade and transform the original equipment to change the backward mode of production.