基于GA_XGBoost模型的大学生科研能力预测问题研究

科学评价大学生科研创新能力对我国科研水平的提高具有重要意义.采用机器学习模型来预测大学生科研能力可以起到良好的效果,提出一种GAXGBoost模型来实现对大学生的科研能力预测.此模型是以Xgboost算法为基础,然后充分利用遗传算法的全局搜索能力自动搜索Xgboost最优超参数,避免了人为经验调参不准确的缺陷,最后采用精英选择策略以此确保每一轮都是最佳的进化结果.通过分析表明,所采用的GAXGBoost模型在大学生科研能力预测的结果中具有很高的精度,将此模型与Logistic Regression、Random Forest、SVM等模型进行对比,GAXGBoost模型的预测精度最高.     

动力学模态分解方法重构及预测流场误差分析

利用动力学模态分解(dynamic mode decomposition,DMD)方法可以实现非定常流场的分解、重构和预测,但该方法重构和预测流场的误差需要给出定量分析.鉴于此,提出了定量描述动力学模态分解重构和预测流场的误差分析方法,以雷诺数Re=80的圆柱绕流二维流场数值模拟结果为例,研究了非线性流动和周期性流场重构和预测误差的动态变化情况.结果表明:依据能量大小确定的模态反映了流场的主要相干结构;低频、低增长/衰减率和大尺度的相干结构能量占比大,对流场的影响较大;DMD方法可以准确重构非线性和周期性变化流场,重构的误差小于10-10,预测流场的误差较重构流场出现跳跃增大现象;DMD方法预测非线性变化流场的误差在样本时间区间内较小(小于10-3),超出样本区间误差的发展急剧增大,变化情况依赖于数据样本;预测周期性流场的误差稳定在10-4左右.     

Understanding the solubility and crystallization of molybdenum in high-sodium borosilicate glasses: effect of lanthanum oxide

Journal of Radioanalytical and Nuclear Chemistry - The simplified 8-oxide system (SiO2-B2O3-Na2O-Al2O3-CaO-TiO2-MoO3-La2O3) has been prepared under two types of cooling methods, and analyzed with...     

实验动物行业兽医现状分析

实验动物行业中,兽医体现在实验动物相关工作中的每一个环节,包括实验动物的日常管理、动物实验的设计、实验过程中动物健康保障和护理、实验动物福利的监督和管理、动物实验技术的应用、实验动物取材、施行安死术等。通过参阅相关文献资料,结合自身工作总结,就目前实验动物兽医现状进行分析,供各位同仁以参考。     

创新文化竞争力国际比较研究

提升中国创新文化国际竞争力,是全面塑造发展新优势的关键着力点,对我国建设创新型国家具有基础性、长期性、决定性影响.通过构建创新文化竞争力指标体系,选取GII创新指数排名和GDP总量排名均为前20的国家作为研究对象,运用主成分分析法对创新文化国际竞争力进行评价,研究发现:①从综合竞争力水平来看,英国、荷兰、美国、瑞士处于第一梯队,德国、加拿大、法国处于第二梯队,中国、韩国、日本为第三梯队;②从竞争力构成要素来看,中国创新文化可持续发展能力和国家创新驱动力具有相对竞争优势,发展基础力和创新型产业支撑力亟待提升,创新文化吸引力也存在进步空间.为此,提出完善创新文化发展的基础条件、讲好中国故事、加大要素投入等管理启示,以期为提升中国创新文化国际竞争力,建设创新型国家提供针对性建议.     

Hitherto-Unexplored Photodynamic Therapy of Ag2S and Enhanced Regulation Based on Polydopamine In Vitro and Vivo

Given their superior penetration depths, photosensitizers with longer absorption wavelengths present broader application prospects in photodynamic therapy (PDT). Herein, Ag₂S quantum dots were discovered, for the first time, to be capable of killing tumor cells through the photodynamic route by near-infrared light irradiation, which means relatively less excitation of the probe compared with traditional photosensitizers absorbing short wavelengths. On modification with polydopamine (PDA), PDA-Ag₂S was obtained, which showed outstanding capacity for inducing reactive oxygen species (increased by 1.69 times). With the addition of PDA, Ag₂S had more opportunities to react with surrounding O₂, which was demonstrated by typical triplet electron spin resonance (ESR) analysis. Furthermore, the PDT effects of Ag₂S and PDA-Ag₂S achieved at longer wavelengths were almost identical to the effects produced at 660 nm, which was proved by studies in vitro. PDA-Ag₂S showed distinctly better therapeutic effects than Ag₂S in experiments in vivo, which further validated the enhanced regulatory effect of PDA. Altogether, a new photosensitizer with longer absorption wavelength was developed by using the hitherto-unexplored photodynamic function of Ag₂S quantum dots, which extended and enhanced the regulatory effect originating from PDA.     

Meet-Cloud for Secure and Accurate Distribution of Negative Messages in Vehicular Ad hoc Network

Keeping Vehicular Ad hoc Network(VANET) from attacks requires secure and efficient distribution of information about bad entities. Negative messages are pieces of information that define the negative attributes of vehicles. By formally defining the negative message, we observe that accuracy is essential for its efficient distribution. We formally define the coverage percentage and accurate coverage percentage to describe the availability and distribution efficiency of negative message. These two metrics can jointly evaluate the performance of a distribution method. To obtain both high coverage percentage and high accurate coverage percentage, we propose meet-cloud, a scheme based on meet-table and cloud computing to securely and accurately distribute negative messages in VANET. A meet-table in a Road Side Unit(RSU) records the vehicles it encounters. All meettables are sent to cloud service to aggregate a global meet-table. The algorithm for distributing and redistributing negative messages are designed. Security analysis shows that meet-cloud is secure against fake and holding on to negative message attacks. Simulations and analysis demonstrate that meet-cloud is secure under denial of service and fake meet-table attacks. The simulation results also justify that meet-cloud outperforms the RSU broadcast and epidemic model.