Effects of temperature on population growth and intake of food by the army worm, Mythimna separata (Walker)

Population life tables of the army worm, Mythimna separata, were constructed and nutritional parameters of food for the larvae were examined at 5 temperatures from 16℃ to 32℃. The temperature suitable for growth and reproduction of the insect ranged from 20℃ to 28℃ with the optimum of 24℃. Their survivalship and fecundity were much poorer at 32℃ than at 16℃. Indices of population trend of the insect at these temperatures could well fitted with the parabolic curve which theoretically indicated that the population density would multiply by some 660 after one generation circle at the optimal temperature, 22.6℃, and it would decline at temperatures higher than 32.9℃ or lower than 12.3℃. Larval food intake and their AD tended to go up while their ECI and ECD to go down with a rise in temperature. These alterations in population size and feeding behavior caused by temperature would exert an important effect on their damage to crops.     

Influencing factors and prediction of ambient Peroxyacetyl nitrate concentration in Beijing, China

Peroxyacyl nitrates (PANs) are important secondary pollutants in ground-level atmosphere. Accurate prediction of atmospheric pollutant concentrations is crucial to guide effective precautions for before and during specific pollution events. In this study, four models based on the back-propagation (BP) artificial neural network (ANN) and multiple linear regression (MLR) methods were used to predict the hourly average PAN concentrations at Peking University, Beijing, in 2014. The model inputs were atmospheric pollutant data and meteorological parameters. Model 3 using a BP-ANN based on the original variables achieved the best prediction results among the four models, with a correlation coefficient (R) of 0.7089, mean bias error of ? 0.0043 ppb, mean absolute error of 0.4836?ppb, root mean squared error of 0.5320?ppb, and Willmott's index of agreement of 0.8214. Based on a comparison of the performance indices of the MLR and BP-ANN models, we concluded that the BP-ANN model was able to capture the highly non-linear relationships between PAN concentration and the conventional atmospheric pollutant and meteorological parameters, providing more accurate results than the traditional MLR models did, with a markedly higher goodness of R. The selected meteorological and atmospheric pollutant parameters described a sufficient amount of PAN variation, and thus provided satisfactory prediction results. More specifically, the BP-ANN model performed very well for capturing the variation pattern when PAN concentrations were low. The findings of this study address some of the existing knowledge gaps in this research field and provide a theoretical basis for future regional air pollution control.     

Early genetic amniocentesis—4 years' experience

Four hundred and thirty early amniocenteses (EAC) from 10 to 14 weeks' gestation were compared with 300 routine amniocenteses (RAC) from 15 weeks' gestation (control A) and 733 routine amniocenteses from 16 to 18 weeks' gestation (control B) with regard to success rates, various growth parameters, and cytogenetic results. Using both in situ and trypsiniz-ation techniques, the success rate was 99·8 per cent for EAC versus 100 per cent for RAC. The average turn-around time for establishing a diagnosis was 8·4 days in EAC versus 8·3 days in 15 weeks' specimens (n.s.) and 7·7 days in 16 to 18 weeks' specimens (p ≦ 0·0001) for the last 200 samples. The banding quality of early specimens compared favourably with that of controls (both 500–550 bphs) and was much better than that in long-term cultured chorionic villus sampling (CVS) (350–400 bphs). For level I and level II mosaicism, no statistically significant differences were noted between EAC and control group A. Comparing EAC with control group B, a significant increase in the number of numerical and structural single cell aberrations was observed (p ≦ 0·025 and p ≦ 0·001, respectively), whereas for multiple cell aberrations only the increase in numerical aberrations was statistically significant (p ≦ 0·001) (x²-test). Clinical problems arising from the detection of mosaicism were solved in all cases by investigating parallel cultures. It is concluded that early amniocentesis is a reliable procedure which permits prenatal diagnosis of numerical and structural chromosome aberrations to a high standard.     

长春地震台数字地震仪近震速报震级偏差研究

本次研究选用了长春地震台2000年至2004年近震速报资料，重新测算了数字地震仪近震震级，并以《吉林省地震目录》给出的震级为标准震级，进行了震级偏差统计分析。研究结果表明，随着震中距的变化长春地震台震级偏差变化较大，为使校正值精度提高，我们分段给出了长春台数字化地震仪水平向记录近震震级台站校正值。     

Cleaner production for continuous digester processes based on hybrid Pareto genetic algorithm

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高压喷雾及其在煤矿井下粉尘防治中的应用

系统分析了高压喷雾的喷雾参数，雾粒粒度分布，雾粒在雾流中运动的平均速度，雾粒带电及喷咀结构，并将此技术用于煤矿井下采煤机和炮掘工作面，取得了很好的降尘效果。     

单环芳族化合物结构与生物降解性关系的统计分析

使用量子化学方法MOPAC6．0-AMI软件计算了42种单环芳族化合物的分子最高占有轨道能(EHOMO)、分子最低空轨道能(ELUMO)、分子生成热(Hf)、分子表面积(TSA)、偶极矩(μ)和分子量(Mw)值；从ClogP软件查得分子的辛醇／水分配系数lgP。对化合物的上述7种结构参数进行因子分析，提取3个主因子可代表化合物的绝大部分结构信息。根据因子得分，对化合物进行了聚类分析。分别以各个主亚类中的化合物为对象，进行结构-生物降解性关系分析，得到系列相关方程，所研究化合物的生物降解性主要与取代基的电子效应有关。     

环境评价网络信息系统局部安全措施

当前网络环境下Internet出现越来越严重的网络失范，使得基于网络技术的环境评价信息系统(EENIS)局部安全性与机密性受到威胁和破坏。本文提出通过建立服务器—工作站—计算机结点三级病毒防御体系、通讯数据加密和组段交换技术等软硬件措施，以保障EENIS局部系统进行广域环境质量评价与预测时的安全性与机密性。     

恒定横流底部多孔排放近区污水稀释扩散效果因素研究

借助于人工模型试验，分析了恒定横流底部多孔排放时扩散器设计参数（射流角度、射流速度、喷口个数）、上升管间距）及环境参数（环境水深、环境流速）对污水近区稀释扩散效果的影响，实验结果表明，除了环境条件对污水稀释扩散效果影响明显之外，扩散器设计参数对污水的近区稀释扩散也有显著的影响，针对白龙港排放口水域，喷口射流角度宜控制在１０°左右，喷口个数取１６个     

遗传梯度法在水质数学模型参数估值的应用

介绍一种混合遗传算法－－遗传梯度法，并将其应用于水质数学模型参数估值，较一般优化算法能稳定得到的全局最优解。