"燃烧假人"测试方法中燃烧系统设计研究

“燃烧假人”测试方法中火场环境生成是对服装整体阻燃性能进行定量评估的前提，而燃烧系统设计是实现具有可重复性、一致性、均匀性等特点火场环境的关键。本文对燃烧系统的需求进行了分析，对其构成及设计思路进行了研究，提出了一种解决方案。     

水质自动监测中的质量保证与质量控制

质量保证与质量拉制是水质自动监测中十分重要的技术工作和管理工作，包括人员素质、运行与管理机制、试剂与标准溶液的配制及文件记录等。在实际工作中，监测人员可根据仪器的运行状况，定期对仪器进行校准、标准溶液的棱查、比对实验验证及试剂有效性检查，用以检查仪器的基线飘移情况。如果分析中出现一个异常值，它的前后均为正常值，这种数值大多是由仪器的进样、仪器内部试剂传输等原因所致，如果发生原因不明的数据异常，就要及时检查系统的各个环节并采集实际水样进行人工分析，直至查清原因，剔除异常值，并在周报中加以说明，以确保上报数据的准确性、精密性和可比性。     

基于粒子群算法的城市垃圾中转站的空间布局研究

随着城市化的进程，垃圾处理设施成为影响城市化质量的重要指标。依据人们实际所关注的垃圾处理设施的总成本和负效应两个因素，在前人研究的基础上，建立了垃圾收运多目标模型，使得总成本和负效应最优化。根据模型设计了粒子群算法，该算法属于智能算法，且精度高，收敛快，在许多领域也得到广泛应用。用设计的粒子群算法并结合案例求出了Pareto最优解，给出三种决策方案，验证了模型和算法的有效性和可行性，为决策者提供了一种理论参考。     

汉江上游郧县曲远河河口段全新世古洪水水文状态研究

对汉江上游河谷郧县曲远河河口剖面进行了沉积学、粒度、磁化率和烧失量的研究。结果表明：夹在古土壤中的灰白色沉积层是典型的古洪水滞流沉积物，记录了一次特大洪水事件，用地层对比法和OSL方法确定其发生时间为4 950~5 450 a B.P.。用古洪水SWD尖灭点法确定古洪水行洪水位高程为169 m，采用比降法恢复其洪峰流量为60 577 m3/s。根据2011年汉江上游洪水洪痕，用相同的方法对洪峰流量进行了反演，误差为-411％，说明用比降法恢复的古洪水洪峰流量是可靠的     

Discordant results between fetal karyotyping and non-invasive prenatal testing by maternal plasma sequencing in a case of uniparental disomy 21 due to trisomic rescue

Uniparental disomy (UPD) is an uncommon chromosome condition, but UPD involving chromosome 21 is rarely reported. We reported here a case who had first trimester screening test for Down syndrome, chorionic villus sampling for fetal karyotyping, quantitative fluorescence polymerase chain reaction (QF-PCR), as well as non-invasive prenatal testing (NIPT) by maternal plasma sequencing. There were discordant results between fetal karyotyping and NIPT due to UPD 21combined with confined placental mosaicism of trisomy 21. This demonstrated that it is possible to detect placental mosaicism by NIPT, but further studies are required to confirm its sensitivity. Therefore, all positive NIPT results must be confirmed by conventional invasive test and karyotyping. QF-PCR has the additional benefit in diagnosing UPD. © 2013 John Wiley & Sons, Ltd.     

用于评价水污染的生物指数

对各国学者所建立的应用较广泛的生物指数作了综述 ,通过分析各种生物指数的优点与缺陷 ,指出了目前建立生物指数方法上的不足 ,并提出了建立生物指数应该采用的更合理的方法。     

Conserving water by optimizing production schedules in the dyeing industry

Industrial dyeing processes generate a huge amount of wastewater, because the production lines have to be washed out each time when the dye changes. We propose an algorithm for the optimization of production schedule. It aims to reduce the production time and the amount of freshwater consumption by optimization the groups orders according to color. Furthermore, we develop software based on the genetic algorithm and implement it in a Chinese company. We optimize the schedules in three months of the case company and compare its output to actual data. The results show that compared to the original manual schedules, the optimized schedules cut production time by 10–15%, reduce freshwater consumption by 20–30%, and reduce wastewater generation by about 20%.