15. They also provide direct egress from the building at multiple levels, allowing SOM to forgo fire doors and stairs.
建筑师同时提供了很多可以直接从建筑通向各层的出入口，这也使建筑师省去了一些防火门和楼梯。
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16. But in the practice, som students also haven't achieve to the level. It is lower for the physical health condition.
但在实践中还有一部分学生体育不能达标，健康状况较差。
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17. Conclusion: SOM may induce subjective tinnitus as well as objective tinnitus and tinnitus can be the first complaint.
结论：SOM既可引起客观性耳鸣，也可引起主观性耳鸣，而且耳鸣可以成为第一主诉。
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18. Meanwhile, it sets forth its position oa som, questions in the mechanism research of polarization treatment in detail.
同时对极化处理机理研究中的一些问题进行了较为详细的用途。
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19. The N in the SOM existed mainly in the form of organic nitrogen, and the soil C:N was significantly correlated with SOM.
土壤中的氮素主要以有机氮的形式存在于土壤有机质中， 土壤碳氮比与有机质含量显著相关。
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20. In hydrocarbon prediction, BP network is combined with SOM network to form the multiparameter hydrocarbon prediction system.
油气预测是将BP网络和SOM网络联合起来，组成一个预测系统进行多参数油气预测。
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21. Although the SOM content was improved, the current agricultural practices brought on a series of ecological problems as well.
然而当前的生产管理方式尽管有利于土壤有机质积累，但是也带来了一系列的生态环境问题。
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22. Objective:To study the relationship between fibrinogen content and the protracted inflammation of secretory otitis media(SOM).
目的：探讨中耳积液中纤维蛋白原含量与分泌性中耳炎病情迁延的关系。
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23. In the last, it was predicted whether the artery and anabranch of the Three-Gorges reservoir will come forth algae blooms. Som.
最后本文还预测了三峡水库干、支流水华爆发的情况，并对如何防治水华爆发提出了改善性建议。
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24. Conclusions There are levels of SOM in plasma and CSF in cases with convulsions, changing in the different course of convulsion.
结论惊厥性疾病患儿血浆、CSF中SOM水平均显著增高，但SOM水平在惊厥发生的不同阶段变化不同。
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25. The requirement of the distributed virtual target practice system is analysed. The federation is designed and the SOM/FOM is built.
针对分布式靶试系统进行了需求分析、功能特性分析，并进行了联邦设计和SOM/FOM模型。
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26. This paper analyzes 2 critical problems in FPGA-based implementation of SOM neural network algorithm: parallelizability and finite word-length effect.
分析了SOM神经网络算法在FPGA实现过程中要考虑的2个主要问题：并行性和有限字长效应。
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27. This paper analyzes 2 critical problems in FPGA-based implementation of SOM neural network algorithm: parallelizability and finite word-length effect.
