中国自然资源综合区划理论研究与技术方案

自然资源综合区划是土地、矿产、森林、草地、湿地、水和海域海岛等复合自然资源空间异质性的直接反映,是分区、分类、分级推进自然资源综合观测体系构建和野外科学观测研究站布设的重要科学依据。目前中国自然资源综合区划理论研究较为欠缺,且技术方案尚未形成一套科学准确的评价范式。本文基于自然资源格局、演变和功能特性,以山水林田湖草生命共同体系统管理为出发点,阐述了自然资源综合区划的概念框架;按照主体性、整体性、多尺度、等级性和发展性五大原则,提出了区划技术方案,并初步开展实证研究;最后,比较了自然资源综合区划与自然区划和生态区划的差异。本文研究成果可增强对自然资源耦合关系和分异特征的科学认识,促进多学科建设,服务于自然资源治理体系建设等国家战略需求。     

试论实践的十八属性

作为人类能动地改造和探索现实世界的社会性的客观物质活动的实践,是一个结构复杂并具有多重规定的矛盾体系,由此决定了它必然具有多重属性,如主观性、客观性、能动性、普遍性、直接现实性、中介性、社会性、历史性、绝对性、相对性、多样性、系统性、具体性、过程性、科学性、价值性、重复性、创造性,等等。深入探究这些属性,是把握、坚持和发展马克思主义实践观的有价值的尝试。     

基于多样化特征的数据库约束查询算法

针对数据库结构越来越复杂,数据特征呈现出多样性,数据属性分化较为严重,给数据的查询带来了较大的困难这一问题,提出一种基于多特征属性约束机制的数据库优化查询算法。通过对数据属性进行有效地分类,运用边界约束理论对数据查询过程中产生的边界模糊问题进行有效地抑制。仿真实验证实,该算法在数据库查询过程中,能够较好地克服冗余多属性数据的干扰,效率较高。     

谈音乐的社会属性

论述了音乐的社会属性。指出音乐是社会的产物,反映社会的兴衰治乱;音乐家是社会的一员,其思想情感无不打上时代的烙印;音乐与社会是互动的,任何一方的变化都与另一方的变化相互关联着。举例分析了社会条件为音乐发展提供了机会,同时也制约着音乐的发展。认为过分强调音乐的工具性,会背离音乐艺术的本质,陷入文化教条。     

影响开源安全软件下载量的工程因素研究

下载量是衡量开源安全软件质量的重要标志。研究下载量与工程因素间的关系,发现影响下载量的工程因素,对于开源安全软件发展具有重要意义。以世界最大的开源软件项目库为数据源,针对开源安全软件的下载量与团队规模和研发事件数的关系展开定量分析,发现开源安全软件下载量与软件研发团队成员数呈弱相关关系,与软件研发事件数呈中等强度相关关系。该研究结果可为开源安全软件良性发展、提升软件竞争力提供参考。     

浅谈历史成本和公允价值双重计量属性的应用-以可供出售金融资产为例

近年来,美国财务会计准则委员会（FASB）和国际会计准则理事会（IASB）大力倡导运用面向现在和未来的、以市场为基础的公允价值属性进行会计计量。我国自2006年的新会计准则实施后,为了跟国际接轨也引入了公允价值计量属性,这就导致相关准则中出现历史成本和公允价值计量属性并存的现象。结合日常的教学过程中,很多学生和财务人员对历史成本和公允价值计量属性使用的困惑,特以可供出售金融资产为例,谈谈双重计量属性在我国的应用问题,从而消除财务人员在这一问题上的疑惑。     

What does it take to be a “successful teacher”? Universities’ role in preparing the future early-years workforce

Within the knowledge era, Early Childhood Education has been attracting continued interest from scholars globally. In this regard, several studies have been conducted, with results identifying the multifarious attributes which members of the early years workforce should possess. But what does this imply for Early Childhood Teacher Education Departments? An exploratory quantitative study was conducted with a random sample of first-year and graduate students of the Department of Early Childhood Education of the Democritus University of Thrace, Greece, with the aim of recording students’ perceived views on the skills, knowledge and attitudes required for working in early years and their expectations of their studies. Results have identified some divergence between freshmen’s and graduates’ perceptions on required attributes, as well as on the role of their studies in preparing them to enter the early childhood teacher profession, with significant implications for improving university curricula, as well as for undertaking further research in the field.     

Exploring an experiential learning project through Kolb's Learning Theory using a qualitative research method

Experiential learning pedagogy is taking a lead in the development of graduate attributes and educational aims as these are of prime importance for society. This paper shows a community service experiential project conducted in China. The project enabled students to serve the affected community in a post-earthquake area by applying their knowledge and skills. This paper documented the students’ learning process from their project goals, pre-trip preparations, work progress, obstacles encountered to the final results and reflections. Using the data gathered from a focus group interview approach, the four components of Kolb's learning cycle, the concrete experience, reflection observation, abstract conceptualisation and active experimentation, have been shown to transform and internalise student's learning experience, achieving a variety of learning outcomes. The author will also explore how this community service type of experiential learning in the engineering discipline allowed students to experience deep learning and develop their graduate attributes.     

Clustering performances in the NBA according to players’ anthropometric attributes and playing experience

The aim of this study was: (i) to group basketball players into similar clusters based on a combination of anthropometric characteristics and playing experience; and (ii) explore the distribution of players (included starters and non-starters) from different levels of teams within the obtained clusters. The game-related statistics from 699 regular season balanced games were analyzed using a two-step cluster model and a discriminant analysis. The clustering process allowed identifying five different player profiles: Top height and weight (HW) with low experience, TopHW-LowE; Middle HW with middle experience, MiddleHW-MiddleE; Middle HW with top experience, MiddleHW-TopE; Low HW with low experience, LowHW-LowE; Low HW with middle experience, LowHW-MiddleE. Discriminant analysis showed that TopHW-LowE group was highlighted by two-point field goals made and missed, offensive and defensive rebounds, blocks, and personal fouls; whereas the LowHW-LowE group made fewest passes and touches. The players from weaker teams were mostly distributed in LowHW-LowE group, whereas players from stronger teams were mainly grouped in LowHW-MiddleE group; and players that participated in the finals were allocated in the MiddleHW-MiddleE group. These results provide alternative references for basketball staff concerning the process of evaluating performance.