基于模糊变权法的《动车组结构及原理》教学模式改革评价

文章以《动车组结构及原理》课程为例,结合模糊层次分析法和变权综合法提出一种基于模糊变权法的教学模式改革评价方法。该方法有效降低各评价因素权重的主观性,更好地反映改革的整体评价结果,对同类课程的教学模式改革具有一定的借鉴意义。     

Mathematical Model of Weight in Evaluation System

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Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity

The number of received citations have been used as an indicator of the impact of academic publications. Developing tools to find papers that have the potential to become highly-cited has recently attracted increasing scientific attention. Topics of concern by scholars may change over time in accordance with research trends, resulting in changes in received citations. Author-defined keywords, title and abstract provide valuable information about a research article. This study performs a latent Dirichlet allocation technique to extract topics and keywords from articles; five keyword popularity (KP) features are defined as indicators of emerging trends of articles. Binary classification models are utilized to predict papers that were highly-cited or less highly-cited by a number of supervised learning techniques. We empirically compare KP features of articles with other commonly used journal-related and author-related features proposed in previous studies. The results show that, with KP features, the prediction models are more effective than those with journal and/or author features, especially in the management information system discipline.     

Genetic analysis for brix weight per stool and its component traits in sugarcane （Saccharum officinarum）

Brix weight per stool (BW) of sugarcane is a complex trait, which is the final product of a combination of many components. Diallel cross experiments were conducted during a period of two years for BW and its five component traits, including stalk diameter (SD), stalk length (SL), stalk number (SN), stalk weight (SW), and brix scale (BS) of sugarcane. Phenotypic data of all the six traits were analyzed by mixed linear model and their phenotype variances were portioned into additive (A),dominance (D), additive×environment interaction (AE) and dominance×environment interaction (DE) effects, and the correlations of A, D, AE and DE effects between BW and its components were estimated. Conditional analysis was employed to investigate the contribution of the components traits to the variances of A, D, AE and DE effects of BW. It was observed that the heritabilities of BW were significantly attributed to A, D and DE by 23.9%, 30.9% and 28.5%, respectively. The variance of A effect for BW was significantly affected by SL, SN and BS by 25.3%, 93.7% and 17.4%, respectively. The variances of D and DE effects for BW were also significantly influenced by all the five components by 5.1%～85.5%. These determinants might be helpful in sugarcane breeding and provide valuable information for multiple-trait improvement of BW.     

QTL analysis for some quantitative traits in bread wheat

Quantitative trait loci (QTL) analysis was conducted in bread wheat for 14 important traits utilizing data from four different mapping populations involving different approaches of QTL analysis. Analysis for grain protein content (GPC) sug- gested that the major part of genetic variation for this trait is due to environmental interactions. In contrast, pre-harvest sprouting tolerance (PHST) was controlled mainly by main effect QTL (M-QTL) with very little genetic variation due to environmental interactions; a major QTL for PHST was detected on chromosome arm 3AL. For grain weight, one QTL each was detected on chromosome arms 1AS, 2BS and 7AS. QTL for 4 growth related traits taken together detected by different methods ranged from 37 to 40; nine QTL that were detected by single-locus as well as two-locus analyses were all M-QTL. Similarly, single-locus and two-locus QTL analyses for seven yield and yield contributing traits in two populations respectively allowed detection of 25 and 50 QTL by composite interval mapping (CIM), 16 and 25 QTL by multiple-trait composite interval mapping (MCIM) and 38 and 37 QTL by two-locus analyses. These studies should prove useful in QTL cloning and wheat improvement through marker aided selection.     

关于Hardy-Hilbert不等式的多参数推广

对Hardy-Hilbert不等式进行了研究,并将其进一步改进如下：若p〉1,1/p＋1/q=1,0〈A,B≤1,an,bn≥0,使0〈∑∞n=0apn〈∞,0〈∑∞n=0bqn〈∞,则∑∞m=0∑∞n=0ambn/Am＋Bn＋1〈{∑∞n=0（π/Bsin（π/p）-（3p-B）（ p-1）/6p（2An＋）11/p）anp}1/p{∑∞n=0（π/Asin（π/p）-（3q-A）（q-1）/6q（2Bn＋1）1/q）bnq}1/q.所得结果改进和推广了最近文献的一些相应结果.     

参量化的Hilbert型积分不等式

通过应用权函数方法和实分析技巧,给出一个推广的具有最佳常数因子的Hilbert型积分不等式.作为应用,考虑了它的等价形式及一些特殊结果.     

医药冷链物流在物联网环境下的动态风险评估

首先运用流程图法分析造成物联网环境下医药冷链物流各环节风险的众多因素源,并运用熵权法对风险指标客观赋权建立风险因素评估指标体系,然后利用Ge NIe软件建立动态贝叶斯网络模型对风险环节的关键风险因素进行概率评估。结果显示在风险评估中运输环节风险的发生概率最高,同时企业关于设备的验证选型是影响物联网医药冷链的关键风险因素,这为企业和政府控制药品质量安全管理提供了依据。     

广东省生产力服务体系科技创新服务能力评价模型构建研究

“十三五时期”,广东省生产力服务体系快速发展,规模逐年壮大,服务内容从传统的中介服务逐步向全链条创新服务转变,发展趋势不断往专业化、网络化、集成化和国际化转变,逐步成为粤港澳大湾区国际科技创新中心和广东科技创新强省建设的重要支撑。为适应广东省生产力服务体系发展的新形势,进一步提升生产力中心系统的科技创新服务能力,亟需建立一套系统、全面的生产力科技创新服务能力评价体系,客观、科学地推进生产力体系的创新发展,作为其动态管理及政策支持的重要依据。因此,本文运用基于熵权法的TOPSIS综合评价方法,构建广东省生产力服务体系科技创新服务能力评价模型,并通过灰色关联分析法验证了评价模型的合理性,确定了关键影响因素。经实证研究发现,2010-2018年间广东省生产力服务体系科技创新服务能力总体呈上升趋势;各区域生产力促进中心发展不均衡,珠三角地区遥遥领先于粤东西北地区;企业服务能力、人力资源、科技创新资源对生产力服务体系科技创新服务能力影响相对显著。     

"双一流"背景下基于学科评价的图书馆信息资源优化配置探讨

[目的/意义]旨在为高校图书馆优化配置信息资源采购资金提供参考。[方法/过程]依据一流学科评估要求建立学科的评估指标体系,应用熵权法并结合TOPSIS模型得到各学科资金配置权重,根据资金的预算约束条件构建线性规划优化模型,借助MATLAB方法建立资金预算约束条件下信息资源采购资金最优配置方案,并通过仿真算例验证该方案的有效性。[结果/结论]该方案能有效提高信息资源建设资金的投入效益。