A Research on Tourism Development Level Measurement and Innovation Integration Development in Bay Area of Hangzhou Bay

As a national strategic pillar industry of tourism, it is very important to explore the innovation and integration of tourism industry in Bay area of Hangzhou Bay. Based on the economic data of seven cities in Bay area of Hangzhou Bay from 2003 to 2016, this paper establishes an index system for evaluating the competitiveness of tourism industry, uses the method of information entropy weight to determine the index weight, and uses the method of standard deviation and coefficient of variation to measure the development level of tourism industry in Bay area comprehensively. The results show that:(1) The competitiveness of tourism industry in Bay area has risen slightly over the past 14 years, and the ranking of competitiveness of cities has shown a stable trend, and the trend of integration is obvious. (2) The advantages of human tourism resources in Bay area urban agglomeration are obvious. It is necessary to reorganize, complement, innovate and integrate the tourism resources of each city in the region, and take “culture + science and technology” as the driving force to promote the transformation, upgrading, innovation and development of tourism products.(3) The tourism industry in Bay area should take resource endowment as its core competitiveness, strengthen the construction of ecological environment in the whole region, seek the upgrading and expansion mode of “pan-text tourism industry” with the help of information technology and regional excellent traffic conditions, economic basis and innovation ability, and realize the leap of “quality” of the competitiveness of tourism industry in Bay area.     

大数据时代国防动员潜力调查之路

如何应用大数据提升国防动员潜力调查的效率是当前政府重点关注的话题。从国防动员潜力大数据的定义和特征着手,分析大数据下国防动员潜力调查所具备的优势,发现仍然存在思维局限、指标不统一、体制不健全、技术缺乏及数据共享与防护难协同等困境。通过思维意识、管理体制、指标体系、核心技术、专业人才、安全共享等六大模块,打破“数据不可用、数据不会用”的现实瓶颈,实现整合国防动员数据资源、延展数据内容和提高工作效率的目标。     

实施乡村振兴战略要防止的几种倾向

乡村振兴战略是要服务于中国建设社会主义现代化强国的目标,是要为建设中国社会主义现代化强国提供稳定的农村基础。 在不同阶段,乡村振兴战略的任务是不同的,尤其是 2035 年之前和2035—2050 年的乡村振兴战略应该是差异极大的。 2035—2050 年的目标是全面乡村振兴,2035 年之前则是为乡村全面振兴打基础的阶段。 没有中国现代化的基本实现,就没有全面振兴乡村的物质基础。乡村振兴战略必须分阶段实施。 当前学界、政策部门、地方实践部门在解读乡村振兴战略时普遍误解了乡村振兴战略的实施阶段性特征,有急于求成的倾向。     

语文课程素养培养模式的探索与建构——以湛江师范学院中文专业为例

语文课程素养是师范院校中文专业人才培养的综合素养,也是人才培养目标的高度浓缩。"课程整合、平台贯通、操作一体化"培养模式,则是针对当下中文专业人才培养中的问题及素养形成规律提出的具体方案。要使这个方案落实到教学中,既需要教师改变课程观念、确定语文课程素养的培养目标,又要通过教学评价进行引导。而这一方案一旦成为教学中的共识,将大大提高师范院校中文专业的人才培养效率和水平。     

中国环境立法的困境与出路

在环境法律实践的过程中,通过与污染受害者沟通和交流,发现许多问题都是根源于环境立法存在的问题。也就是,环境立法中的单向的立法理念,只注重至上而下的国家力量,这会导致法律与最初目的的偏离,从保护环境利益走向保护部门利益。因此,要寻求新的出路——发展双向融合的立法理念,即注重至上而下的政府主导与至下而上的公众参与有机结合,通过公众有效参与环境立法,发现环境法律实践中的问题,及时反馈到立法领域。从而在有效的互动中完善环境法治。     

山东抗日根据地的灾荒与救济

抗战时期,山东根据地遭受了严重的天灾敌祸,由此而产生了极大的荒情。根据地党和政府及时采取了多项有力措施:一方面大力放赈救急,另一方面领导根据地军民扩大生产,增加财富。根据地的救荒运动不但为战胜灾荒、争取抗战胜利奠定了基础,而且也推动了社会进步。     

试析新媒介环境下的网络问政

"网络问政"已经成为政府执政的重要补充方式,且作用日益显著。本文界定了网络问政的内涵,分析了网络问政的三种主要形式,并进而对政务微博的发展概况和运用中的关系把握做了尝试性探讨。     

Analytic strategies for longitudinal networks with missing data

Missing data are often problematic when analyzing complete longitudinal social network data. We review approaches for accommodating missing data when analyzing longitudinal network data with stochastic actor-based models. One common practice is to restrict analyses to participants observed at most or all time points, to achieve model convergence. We propose and evaluate an alternative, more inclusive approach to sub-setting and analyzing longitudinal network data, using data from a school friendship network observed at four waves (N = 694). Compared to standard practices, our approach retained more information from partially observed participants, generated a more representative analytic sample, and led to less biased model estimates for this case study. The implications and potential applications for longitudinal network analysis are discussed.     

科学院大学的教学优势与发展趋势——以中国科学院大学为例

科学院办大学是基于探索研究型大学与科学院双边合作模式，尝试从科学院系统中走出一条研究型大学的独特发展之路，旨在推进科教融合。作对我国高等教育体制改革的一项探索，中国科学院大学在科研、师资、教学和就业等方面具有明显优势。但在发展过程中，科学院大学与现存高等教育体制的关系还需要理顺，招生规模还需要严格控制，以确保人才培养质量。探究科学院大学的教学优势，旨在发挥其资源优势，深化科教一体化人才培养模式，促进科研与教学的充分融合，实现科学院与大学共同发展的目标，使大学最终与科研机构不再分离——科学院成为大学的科学院，大学成为科学院的大学。     

Bias correction for parameter estimates of spatial point process models

When a spatial point process model is fitted to spatial point pattern data using standard software, the parameter estimates are typically biased. Contrary to folklore, the bias does not reflect weaknesses of the underlying mathematical methods, but is mainly due to the effects of discretization of the spatial domain. We investigate two approaches to correcting the bias: a Newton–Raphson-type correction and Richardson extrapolation. In simulation experiments, Richardson extrapolation performs best.