人才吸引力因素与政策工具契合关系研究以河北省为例

人才是第一资源,人才引进培养是经济社会发展的一个关键,近年来我国各地纷纷出台吸引人才的重磅政策.为探求人才政策工具对人才的吸引力情况,在构建人才吸引力因素理论模型基础上,通过对178位人才问卷调查获得人才吸引力关键因素,对河北省163份人才政策文本进行数据挖掘,分析政策工具与人才吸引力因素的契合关系.研究得出创新氛围、人才培训培养、人才激励评价、创新创业支持、人才服务和薪资待遇等方面契合度高,政策效果较佳;工作场所仪器设备条件、配偶子女安置和住房补贴的契合关系为政策不足,应加大政策制定;人才载体和医疗社会保障的契合关系为政策冗余,需加强政策实施.     

Well-posedness of two pseudo-parabolic problems for electrical conduction in heterogeneous media

We prove a well-posedness result for two pseudo-parabolic problems, which can be seen as two models for the same electrical conduction phenomenon in heterogeneous media, neglecting the magnetic field. One of the problems is the concentration limit of the other one, when the thickness of the dielectric inclusions goes to zero. The concentrated problem involves a transmission condition through interfaces, which is mediated by a suitable Laplace-Beltrami type equation.     

中非经贸合作下非洲基础设施建设的现状与挑战——以亚吉铁路建设为例

在分析非洲基础设施建设现状和特点的基础上,通过亚吉铁路建设的案例研究,探讨了中非经贸合作下非洲基础设施建设的成功效应和存在的主要问题,得出中国标准缺乏国际认可、中非双方存在文化冲突、对非“全产业链”与投融资需要强化和产业结构相似的结论。同时,对未来中非经贸合作下非洲基础设施建设的发展从消除文化差异、提高合作层次、加强投融资、改进中国标准、明确合作区发展定位、后疫情时代加快构建更紧密的中非命运共同体和加强产能合作并发挥产能优势等角度提出可行性建议。     

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.     

Bifurcation analysis of visual angle model with anticipated time and stabilizing driving behavior

In the light of the visual angle model (VAM), an improved car-following model considering driver's visual angle, anticipated time and stabilizing driving behavior is proposed so as to investigate how the driver's behavior factors affect the stability of the traffic flow. Based on the model, linear stability analysis is performed together with bifurcation analysis, whose corresponding stability condition is highly fit to the results of the linear analysis. Furthermore, the time-dependent Ginzburg-Landau (TDGL) equation and the modified Korteweg-de Vries (mKdV) equation are derived by nonlinear analysis, and we obtain the relationship of the two equations through the comparison. Finally, parameter calibration and numerical simulation are conducted to verify the validity of the theoretical analysis, whose results are highly consistent with the theoretical analysis.     

Chemical bonding in representative astrophysically relevant neutral,cation, and anion HCnH chains

Most existing studies assign a polyynic and cumulenic character of chemical bonding in carbon-based chains relying on values of the bond lengths. Building on our recent work, in this paper we add further evidence on the limitations of such an analysis and demonstrate the significant insight gained via natural bond analysis. Presently reported results include atomic charges, natural bond order and valence indices obtained from ab initio computations for representative members of the astrophysically relevant neutral and charged HC_2k/2k+1H chain family. They unravel a series of counter-intuitive aspects and/or help naive intuition in properly understanding microscopic processes, e.g., electron removal from or electron attachment to a neutral chain. Demonstrating that the Wiberg indices adequately quantify the chemical bonding structure of the HC_2k/2k+1H chains—while the often heavily advertised Mayer indices do not—represents an important message conveyed by the present study.     

Optimization of Transducer Location for Novel Non-Intrusive Methodologies of Diagnosis in Diesel Engines

The health monitoring has been studied to ensure integrity of design of engine structure by detection, quantification, and prediction of damages. Early detection of faults may allow the downtime of maintenance to be rescheduled, thus preventing sudden shutdown of machines. In cylinder pressure developed, vibrations and noise emissions data provide a rich source of information about condition of engines. Monitoring of vibrations and noise emissions are novel non-intrusive methodologies for which positioning of various transducers are important issue. The presented work shows applicability of these diagnosis methodologies adopted in case of diesel engines. The effects of changing various fuel injection parameters was analyzed. Scope of using non-intrusive technique has been analyzed by changing locations of microphone. Novelty of this worklies in exploring signal processing methods for various locations around the engine test set up. Various frequency ranges of contributing noise and vibration sources were identified. Time-Frequency analysis showed the onset of various cyclic. Based on the identification of various frequency bands, it is possible to device suitable filters in order to extract more information.     

高职生“学习参与度”对创新创业核心素养的影响机制研究

通过对523名高职学生进行实地调研,探析“学习参与度”对学生创新创业核心素养的影响机制。结果显示:课程建设、教师引导、资源支持对学习心理参与度影响显著;教师引导、资源支持、社会实践对学习行为参与度影响显著。学习参与度显著影响创业意识、创新精神、创业能力。提出优化对策:重视学生创新创业核心素养的培养;提高学生创新创业学习参与度;人际互动提升学习心理参与度;协同培育提高学习行为参与度。     

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。