遗传算法在隧洞开挖爆破参数优化中的应用

介绍了利用遗传算法优化隧洞开挖爆破参数的理论和方法。以及该算法在阿荣旗-深圳高速公路隧洞爆破开挖工程中的应用。实例表明,利用遗传算法来调整爆破参数和支护参数,可以有效地降低隧道爆破成本。     

类的多态性研究

从必要性入手探讨多态性的由来,从内存管理机制探讨多态性的实现机理.     

基于推拉策略的文本分类增量学习研究

学习算法是否具有增量学习能力是衡量其是否适合于解决现实问题的一个重要方面。增量学习使学习算法的时间和空间资源消耗保持在可以管理和控制的水平,已被广泛应用于解决大规模数据集问题。针对文本分类问题,本文提出了增量学习算法的一般性问题。基于推拉策略的基本思想,本文提出了文本分类的增量学习算法ICCDP,并使用该算法对提出的一般性问题进行了分析。实验表明,该算法训练速度快,分类精度高,具有较高的实用价值。     

纳米CeO2的紫外吸收和表面改性研究

紫外吸收光谱分析氨水沉淀法制备的粒度在10nm的纳米二氧化铈表明在200～480nm的范围具有较好的紫外吸收能力。用无水乙醇为溶剂,硬脂酸为改性剂,初步探讨了纳米CeO2进行表面改性机理。活化度和吸油值分析表明,当硬脂酸用量在2．5％时,已经有较好改性效果,为纳米CeO2在聚合物中的应用提供一定的参考价值。     

Development and Use of a Kinetical and Real-Time Monitoring System to Analyze the Replication of Hepatitis C Virus

In microbiological research, it is important to understand the time course of each step in a pathogen’s lifecycle and changes in the host cell environment induced by infection. This study is the first to develop a real-time monitoring system that kinetically detects luminescence reporter activity over time without sampling cells or culture supernatants for analyzing the virus replication. Subgenomic replicon experiments with hepatitis C virus (HCV) showed that transient translation and genome replication can be detected separately, with the first peak of translation observed at 3–4 h and replication beginning around 20 h after viral RNA introduction into cells. From the bioluminescence data set measured every 30 min (48 measurements per day), the initial rates of translation and replication were calculated, and their capacity levels were expressed as the sums of the measured signals in each process, which correspond to the areas on the kinetics graphs. The comparison of various HuH-7-derived cell lines showed that the bioluminescence profile differs among cell lines, suggesting that both translation and replication capacities potentially influence differences in HCV susceptibility. The effects of RNA mutations within the 5′ UTR of the replicon on viral translation and replication were further analyzed in the system developed, confirming that mutations to the miR-122 binding sites primarily reduce replication activity rather than translation. The newly developed real-time monitoring system should be applied to the studies of various viruses and contribute to the analysis of transitions and progression of each process of their life cycle.     

miR-199a: A Tumor Suppressor with Noncoding RNA Network and Therapeutic Candidate in Lung Cancer

Lung cancer is the leading cause of cancer death worldwide. miR-199a, which has two mature molecules: miR-199a-3p and miR-199a-5p, plays an important biological role in the genesis and development of tumors. We collected recent research results on lung cancer and miR-199a from Google Scholar and PubMed databases. The biological functions of miR-199a in lung cancer are reviewed in detail, and its potential roles in lung cancer diagnosis and treatment are discussed. With miR-199a as the core point and a divergence outward, the interplay between miR-199a and other ncRNAs is reviewed, and a regulatory network covering various cancers is depicted, which can help us to better understand the mechanism of cancer occurrence and provide a means for developing novel therapeutic strategies. In addition, the current methods of diagnosis and treatment of lung cancer are reviewed. Finally, a conclusion was drawn: miR-199a inhibits the development of lung cancer, especially by inhibiting the proliferation, infiltration, and migration of lung cancer cells, inhibiting tumor angiogenesis, increasing the apoptosis of lung cancer cells, and affecting the drug resistance of lung cancer cells. This review aims to provide new insights into lung cancer therapy and prevention.     

Biophotonic probes for bio-detection and imaging

The rapid development of biophotonics and biomedical sciences makes a high demand on photonic structures to be interfaced with biological systems that are capab...