Application of Grey Correlation Degree Analysis in Broad Bean Strain Screening

[Objectives] The aim was to clarify the target and approach to purifying and selecting Baoshan Touxinlv broad bean. [Methods] In 2012,5 homozygous strains were selected successfully as the material,and completely randomized block arrangement was adopted with 3 repeated trials to analyze the effects of plant height,effective length of podding branches,branch number per plant,pod number per plant,grain number per pod and 100-grain weight on the yield of each plant in the system. [Results] The results showed that the effects of the various factors on the yield of Baoshan broad beans were in the order of grain number per pod 〉 effective length of podding branches 〉 100-grain weight 〉 pod number per plant 〉 branch number per plant 〉 plant height. [Conclusions]In breeding new strains of Baoshan broad beans,under the premise of ensuring the seed nature and quality of the original variety,priority should be given to the gain number per pod and the increment of effective length of podding branches,followed by the pod number per plant,branch number per plant,plant height,which is the best way to breed new strains of Baoshan Touxinlv broad beans.

Comprehensive Evaluation of Flood and Flood in the Yellow River Basin Based on Gray Correlation Analysis

Due to the concentrated rainfall and serious soil erosion in July and August in the Yellow River Basin, the flood discharge is not timely leading to serious floods. Therefore, a reasonable assessment of the flood-affected areas, advance arrangements for the deployment of the Yellow River basin flood disaster prevention and control plays a decisive role. For this purpose, this paper proposes a level assessment method based on the flood which analyzes three factors related to flooding disaster (disaster impact range, social index, and property index) through the gray correlation analysis method, to evaluate the level of flood disaster. Different from the traditional assessment method, which evaluates the nature of flood from the perspective of indicators such as frequency, duration, and magnitude, or indirect factors such as rainfall and soil loss, this paper conducts qualitative calculation of macro-scale indicators from the perspective of post-disaster losses in previous years. This study provides a new way of thinking and method for the classification of the flood disaster, which has certain practical application value under the condition of conforming to its own use.

Influencing Factors of Fabric-Skin Adhesion Based on Gray Correlation Analysis Method

Fabric-skin adhesion was objectively described by the indices of the maximum adhesion force F_(max) , the maximum separation distance L_(max) ,and adhesion work W as well as the adhesion force-separation distance curve. Firstly,gray correlation analysis method was adopted to investigate the correlation levels between adhesion indices,and secondly the relative importance of fabric structural parameters to fabric-skin adhesion,as well as the correlation levels between skin adhesion, water absorption, and wicking properties of the fabric. The results prove that W exhibits clear correlations with both F_(max) and L_(max) , yet the relevance between F_(max) and L_(max) is weak. Fabric adhesion indices are most associated with fabric mass and least with fabric thickness,whereas fabric wicking and water absorption present closest correlation with fabric thickness. Therefore, it is concluded that the relevance between fabric wicking, water absorption, and skin-adhesion properties are rather comprehensive than straight.

Core Competitiveness Evaluation of Financial Institution with Rough Sets and Gray Correlation Analysis

The comprehensive evaluation method of enterprise core competitiveness is proposed by combining rough sets and gray correlation theories. Firstly,the initial index is screened through rough set attribute reduction algorithm,and the evaluation weight of each index is obtained through the rough set theory. Then,based on the gray correlation theory, an evaluation model is built for empirical analysis. The 30 financial institutions on the Yangtze River Delta are examined from the theoretical and empirical perspective.The result demonstrates not only the feasibility of rough set attribute reduction algorithm in the core competitiveness index system of the financial institution,but also the accuracy of the combination of these two methods in the comprehensive evaluation of corporate core competitiveness.

Correlation analysis of climate comfort degree of tourism and annual variation of tourist flow in Tai’an, Shandong province

The tourism climate comfort degree can directly affect the trip of tourists,and can determine the length of the tourist season and the development of the tourist projects.In order to explore the relationship between the climate comfort degree and the annual variation of tourist flow combined with 1981-2010 climate related data,this paper analyzes the comfort degree of tourism climate in Tai’an,the annual change divide tourist season into high season,shoulder season and off-season.With regression analysis,the correlation between tourism climate comfort degree and annual variation of passenger flow is analyzed.The final result is as follows:As for Tai’an,in May and September the rank of humiditytemperature index(THI)is A,with the most pleasant climate,the most suitable for tourism activities.In April,August and October the rank of THI is B or b,represented as suitable climate,suitable for tourism activities.In June and July,the climate is hot,with a low tourism suitability grade,In February,March and November,the climate is cold,with a poor tourism suitability grade.In January and December the climate is frigid,not suitable for tourism activities.The final conclusion is below:the tourist traffic variation within the year is mainly affected by climate comfort effect.The elastic coefficient is 0.927%.In addition,the tourist traffic variation within the year is also affected by the summer vacation,the Golden Week and the impact of preferential policies.All the above provide a scientific basis for the prediction of Tai’an’s tourist flow in a year,the development of tourism and tourist scenic management.

A Correlation Analysis of Tourism Based on Gray Theory——A case of Xingwen County

Tourism industry has already become an important part of national economy,which not only played a positive role in the development of the economy,but promoted the adjustment and optimization of industrial structure.The paper analyzes the correlation between the tourism industry and the other industry through changes of the Xingwen County tourism industrial output value in the past seven years.With the Gray Model,the correlation degree among the tourism industry and agriculture,industry,transport,wholesale and retail trade,postal and telecommunications industries is measured.The analysis result indicates that the order of the corresponding correlation degree:catering accommodation is 0.691> wholesale and retail is 0.617 > agriculture is 0.616 > Postal and telecommunications industry is 0.610> Transport is 0.602> Industry is 0.537.In accordance with the actual conditions of the industry in Xingwen,the industrial development policies and measures are put forward,which help the tourism industry Xingwen their rapid,coordinated and highly efficient operation.

Correlation knowledge extraction based on data mining for distribution network planning

Traditional distribution network planning relies on the professional knowledge of planners,especially when analyzing the correlations between the problems existing in the network and the crucial influencing factors.The inherent laws reflected by the historical data of the distribution network are ignored,which affects the objectivity of the planning scheme.In this study,to improve the efficiency and accuracy of distribution network planning,the characteristics of distribution network data were extracted using a data-mining technique,and correlation knowledge of existing problems in the network was obtained.A data-mining model based on correlation rules was established.The inputs of the model were the electrical characteristic indices screened using the gray correlation method.The Apriori algorithm was used to extract correlation knowledge from the operational data of the distribution network and obtain strong correlation rules.Degree of promotion and chi-square tests were used to verify the rationality of the strong correlation rules of the model output.In this study,the correlation relationship between heavy load or overload problems of distribution network feeders in different regions and related characteristic indices was determined,and the confidence of the correlation rules was obtained.These results can provide an effective basis for the formulation of a distribution network planning scheme.

基于动态指标的光伏组件健康程度诊断

为了对光伏组件的健康状况进行诊断,提出了一种基于光伏组件的光生电流,等效串联电阻,等效并联电阻3个指标的光伏组件健康程度定量检测方法。首先利用改进的布谷鸟算法对测量的光伏组件I-U线进行参数辨识,形成实测健康曲线,再利用光伏组件自然老化模型确定理论健康曲线,然后计算实测健康曲线与理论健康曲线之间的偏移量并结合灰色关联分析进行数值校正;定义健康程度H参量计算得到光伏组件健康程度量化值。仿真分析和实验测试结果表明该方法可以对不同环境下的光伏组件健康程度进行有效在线诊断,为光伏组件维护提供参考。

江苏省卫生资源配置与新型城镇化水平耦合协调及关联性分析

[目的]基于卫生资源配置现状,探究江苏省卫生资源配置与新型城镇化发展进程中的耦合协调及相互作用关系。[方法]构建江苏省卫生资源配置及新型城镇化水平评价指标体系,利用耦合协调度模型及灰色关联分析,对两者间的耦合协调度和关联度进行探究。[结果]2012-2021年,江苏省卫生资源配置水平均值为0.506,新型城镇化水平均值为0.517,卫生资源配置低于城镇化水平。耦合协调度呈现增长趋势,由0.1增长至0.995,均值为0.681。卫生资源配置水平与新型城镇化中外商投资总额关联度最高,其次是医疗保险社会综合覆盖率、人均GDP和城镇居民人均可支配收入;新型城镇化水平与卫生总费用的关联度最高,其次是卫生技术人员和床位数。[结论]江苏省卫生资源配置与新型城镇化的耦合协调度呈现快速增长、波动增长和基本稳定增长的阶段性特征。新型城镇化水平与卫生总费用、卫生人员及床位数密切相关,而卫生资源配置的合理性离不开经济发展和社会保障程度。

2000-2020年黄河流域水-能源-粮食系统耦合协调时空演变特征

[目的]探讨黄河流域水—能源—粮食系统的耦合协调时空演化特征,可为定量评估流域高质量发展和区域可持续发展提供科学依据。[方法]通过耦合协调度模型分析水—能源—粮食系统的综合发展水平和耦合协调特征,并利用灰色关联度对各子系统内部指标进行排序,进而判断对水—能源—粮食系统耦合协调度的影响程度。[结果](1)黄河流域水—能源—粮食系统的综合发展指数呈上升趋势,水资源子系统波动幅度最大。(2) 2000—2020年黄河流域水—能源—粮食系统耦合协调度从初级协调向良好协调阶段发展;不同省区间的系统耦合协调发展水平差异较为明显,整体上可表现为上游地区>中下游地区。(3)各子系统与系统耦合协调度的影响程度排名可表示为水资源子系统>粮食子系统>能源子系统,其中水资源子系统内部指标与系统耦合协调度关联度均在85%以上,水资源子系统相对其他子系统的严格管理尤为重要。[结论]水—能源—粮食系统的耦合协调发展水平有待提高,为促进系统协调发展和流域高质量发展应综合考虑各子系统的相互作用关系。

匝道合流交通场景下自动驾驶汽车安全性测试评价方法

针对高速匝道交通场景提出了一种基于自然驾驶数据的自动驾驶汽车安全性评价方法。通过分析合流区冲突特征,建立碰撞时间(Time to Collision,TTC)模型、后侵占时间(Post Encroachment Time,PET)模型、最小安全换道距离(Minimum Safe Spacing,MSS)交通冲突指标计算模型来确定安全性评价指标,利用模糊聚类自然驾驶指标数据确定指标阈值范围,搭建自动驾驶汽车仿真测试试验,应用层间相关性的重要性准则权重分配方法和灰色关联评分模型,计算得到不同控制算法下自动驾驶汽车安全性的综合评价得分。结果表明,被试车辆驾驶行为与理想驾驶行为在各安全性指标的关联度分布明显,计算总体关联度,得分可以直观说明不同自动驾驶系统的综合安全性能。

基于体质测试大数据的灰色关联分析:建模与实证

目前,中国普遍采用电子仪器采集学生体质测试结果,积累了大量具有大数据特征的原始数据。在面对体质测试大数据时,如何利用数学模型找出测试项目之间的相关性,从而准确描述其相关性的强弱,具有科学意义。采用改进的灰色关联分析模型,对西部某高校31198名大学生体质测试大数据进行分析。该模型改变了传统邓氏模型的计算过程,使其适用于大数据。结果表明:BMI值对女生下肢耐力和爆发力有较大影响,是女生最重要的体质测试指标;肺活量对男生的耐力、灵活性和下肢爆发力有不同的影响,是男生最重要的体质测试指标;长跑,即男子1000 m跑、女子800 m跑和立定跳远,不仅是身体素质的2个最重要的指标,而且它们之间存在着很强的相关性。改进的灰色关联分析为大数据环境下体质测量指标之间的相关性分析提供了新的思路,为不同领域的大数据分析提供了建模参考。

红细胞分布宽度、糖化血红蛋白水平与不稳定型心绞痛患者冠状动脉病变程度及狭窄程度的相关性分析

目的分析红细胞分布宽度、糖化血红蛋白水平与不稳定型心绞痛患者冠状动脉病变程度及狭窄程度的相关性。方法120例不稳定型心绞痛患者,根据冠状动脉病变支数的不同分为单支病变组(60例)、双支病变组(40例)、多支病变组(20例),根据冠状动脉狭窄程度的不同分为轻度狭窄组(50例)、中度狭窄组(40例)、重度狭窄组(20例)、完全闭塞组(10例)。对比不同冠状动脉病变支数组和狭窄程度组的红细胞分布宽度、糖化血红蛋白水平;使用Pearson法分析红细胞分布宽度、糖化血红蛋白水平与不稳定型心绞痛患者冠状动脉病变支数、冠状动脉狭窄程度的相关性。结果单支病变组、双支病变组、多支病变组的红细胞分布宽度分别为(9.27±0.71)%、(12.59±1.36)%、(17.87±2.68)%,糖化血红蛋白分别为(6.57±1.12)%、(8.89±2.06)%、(12.65±3.18)%。单支病变组、双支病变组、多支病变组的红细胞分布宽度、糖化血红蛋白水平对比,差异均有统计学意义(P<0.05);且红细胞分布宽度、糖化血红蛋白水平从高到低分别均为:多支病变组>双支病变组>单支病变组,差异均有统计学意义(P<0.05)。轻度狭窄组、中度狭窄组、重度狭窄组、完全闭塞组的红细胞分布宽度分别为(8.71±0.63)%、(11.86±0.92)%、(15.76±1.78)%、(20.36±3.04)%,糖化血红蛋白分别为(5.47±1.15)%、(6.97±1.83)%、(9.22±2.68)%、(14.86±3.89)%。轻度狭窄组、中度狭窄组、重度狭窄组、完全闭塞组的红细胞分布宽度、糖化血红蛋白水平对比,差异均有统计学意义(P<0.05);且红细胞分布宽度、糖化血红蛋白水平从高到低分别均为:完全闭塞组>重度狭窄组>中度狭窄组>轻度狭窄组,差异均有统计学意义(P<0.05)。Pearson分析法显示,不稳定型心绞痛患者冠状动脉病变支数的多少与红细胞分布宽度、糖化血红蛋白水平之间呈正相关(r=0.25、0.15,P<0.05);不稳定型心绞痛患者冠状动脉狭窄程度的轻重与红细胞分布宽度、糖化血红蛋白水平之间呈正相关(r=0.49、0.65,P<0.05)。结论临床可以通过红细胞分布宽度、糖化血红蛋白水平的血清学检测来评估不稳定型心绞痛患者冠状动脉病变支数和狭窄程度,进而根据患者病情的轻重来指导临床治疗,从而使患者获得更好的预后。

粤港澳大湾区“四链”融合发展评价探索性研究:基于耦合协调度与灰色关联度的分析

面对当前要素驱动向创新驱动转型的现实发展需求,粤港澳大湾区已初步构筑起创新链、产业链、资金链、人才链“四链”深度融合的基础生态,但融合的状态、水平和层次都存在可以优化提升的空间。文章采用耦合协调度与灰色关联度对粤港澳大湾区“四链”融合发展水平进行实证分析,研究发现:“创新—产业—资金—人才”四个子链已逐渐从低水平均衡向高水平均衡过渡,从极度不协调发展向高度协调状态过渡发展。“创新链—产业链”子系统耦合对整体“四链”融合水平贡献度最高。

基于生命周期法的生鲜农产品冷链物流绿色度评价

随着国家节能减排政策的深入,生鲜冷链作为能耗较高的物流产业,其绿色性引起了人们的重视。文章基于生鲜农产品冷链物流的全生命周期分析其各阶段的绿色性,以各阶段碳排放量和资源利用率为指标建立绿色度评价体系,并以番茄为例,基于生命周期法的计算数值,采用熵权法进行权重计算,进而用灰色关联度法进行绿色度评价。评价结果表明,生鲜农产品运输过程的损耗是对绿色度影响最大的因素,其次是车辆的能源利用率和货物的实载率。另外,水路运输的碳排放量远低于公路运输,但受限于地理条件和运输时间。针对评价结果,给出了提高生鲜农产品冷链物流绿色度的建议,为减少碳排放量提供了改进方向。

基于结构变动度及灰色关联分析的某医院甲状腺癌手术患者住院费用研究

目的分析甲状腺癌手术患者住院费用的结构变化情况及其变化原因,为合理控制医药费用提供参考依据,使得甲状腺癌手术患者住院费用结构更趋于合理化。方法运用结构变动度及灰色关联分析法对样本医院2017—2022年的甲状腺癌手术患者住院费用变化情况及关联情况进行定量分析。结果2017—2022年样本医院甲状腺癌手术患者住院费用呈下降趋势,药品费、耗材费占比较大;耗材费和治疗费总体均呈正向变动,药品费和诊断费总体均呈负向变动,护理费和一般医疗服务类费用虽呈正向变动,但变动不明显;6年间影响甲状腺癌手术患者例均住院费用关联度位于前两位的是药品费和耗材费。结论甲状腺癌手术患者住院费用结构趋于合理,但仍有较大改进空间。建议继续加强对药品、医用耗材等方面的管控,同时明确技术劳务、物资耗材等项目的价值构成,进一步优化住院费用结构。

人工智能定量肺结节参数与肺腺癌浸润程度的相关性分析

目的探讨人工智能(AI)定量肺结节参数与肺腺癌浸润程度的相关性。方法选取2021年1月—2023年1月医院收治的138例肺腺癌患者(共138个肺结节),根据肺腺癌浸润程度将其分为两组,浸润性腺癌(IAC)归为A组(n=60),微浸润性腺癌(MIA)、原位腺癌(AIS)及非典型腺瘤样增生(AAH)归为B组(n=78)。所有患者均行CT扫描,AI肺结节检测系统分析扫描数据,比较两组AI定量肺结节参数,分析AI定量肺结节参数与肺腺癌浸润程度的关系。结果A组肺结节短径、肺结节长径、最大CT值、最小CT值、平均CT值及恶性概率均高于B组(P<0.05);Logistic回归分析显示,各项AI定量肺结节参数升高均是加重肺腺癌浸润程度的独立危险因素(P<0.05);上述AI定量肺结节参数联合预测绘制ROC曲线分析显示联合检测预测准确率最高,其AUC为0.995;Spearman相关性分析显示,AI定量肺结节参数均与肺腺癌浸润程度呈正相关关系(P<0.05)。结论AI定量肺结节参数对浸润性肺腺癌预测价值较高,且与肺腺癌浸润程度具有一定相关性。

微波预处理对花生压榨特性的影响

采用微波对花生进行预处理,研究处理前后花生水分、褐变程度、颗粒质构参量、水分状态分布、蛋白变性程度的变化趋势以及对压榨出油率的影响,并与真空烘箱处理作对比,经Pearson相关性分析,建立各指标与出油率之间的数学相关性,为花生的高效加工利用提供理论依据和数据参考。结果表明,花生在900 W条件下微波7 min,或者85℃真空烘箱烘制89 min,水分质量分数从5.25%降至2.27%,此时压榨出油率最高,分别为45.85%和45.76%;此条件下,花生与榨油机之间构成的切应力适中,花生受到充分挤压,发生形变,油脂大量流出,且花生可塑性最好,水分状态组成最为合理,蛋白变性程度适中,既可以使得油脂大量流出,又不会轻易破碎影响饼粕成形。

基于博弈论和云物元模型的矿山塌陷土地复垦适宜性评估研究

针对矿山塌陷土地复垦适宜性评估指标因素的模糊性和随机性,构建博弈论综合赋权-云物元模型。该模型结合矿山实际情况,从地形环境、水利环境和土壤环境3个方面划定11个二级评估指标,采用遗传层次分析法和变异系数法分别计算各评估指标的主、客观权重,再通过博弈论计算得到指标综合权重,并将云模型引入物元模型。将所建立的模型应用于广西凤凰山银矿,计算了一级指标关联度和综合关联度,并进行土地复垦适宜性评估。结果表明:1^(#)塌陷区和6^(#)塌陷区复垦为林地的适宜性评估等级为“勉强适宜”;2^(#)塌陷区、3^(#)塌陷区、4^(#)塌陷区、5^(#)塌陷区和7^(#)塌陷区复垦为林地的适宜性评估等级为“中等适宜”。评估结果与现场调研情况相吻合,可为矿山塌陷土地复垦工作实施提供新的思路。

缺血性脑卒中合并脑白质疏松患者认知功能与病变程度的相关性分析

目的探讨缺血性脑卒中合并脑白质疏松患者认知功能与病变程度的相关性。方法选取2020年3月至2022年1月我院收治的98例缺血性脑卒中患者,根据是否合并脑白质疏松分为观察组和对照组,比较两组蒙特利尔量表(MoCA)和简易智能量表(MMSE)评分。比较脑室旁(PVH)和深部白质病变(DWMH)阳性组与阴性组性别、年龄、吸烟、饮酒、高血压、高血脂和冠心病等一般情况。分析认知功能与病变程度的相关性。结果观察组MoCA、MMSE认知功能评分低于对照组(P<0.05);观察组PVH阳性42例、阴性9例,DWMH阳性43例、阴性8例,两组性别、年龄、吸烟、饮酒、高血压、高血脂和冠心病一般情况比较差异无统计学意义(P>0.05),PVH阳性组及DWMH阳性组的MoCA和MMSE评分均低于阴性组(P<0.05);MoCA、MMSE认知功能与PVH和DWMH呈负相关(P<0.05)。结论缺血性脑卒中合并脑白质疏松患者认知功能与病变程度呈负相关,当缺血性脑卒中合并脑白质疏松患者病变程度越严重时,其认知功能障碍也越严重。