Optimal investment based on relative performance and weighted utility

This paper studies the optimal portfolio allocation of a fund manager when he bases decisions on both the absolute level of terminal relative performance and the change value of terminal relative performance comparison to a predefined reference point. We find the optimal investment strategy by maximizing a weighted average utility of a concave utility and an Sshaped utility via a concavification technique and the martingale method. Numerical results are carried out to show the impact of the extent to which the manager pays attention to the change of relative performance related to the reference point on the optimal terminal relative performance.

Multi-Criteria Group Decision-Making Method Based on an Improved Single-Valued Neutrosophic Hamacher Weighted Average Operator and Grey Relational Analysis

This paper proposes a multi-criteria decision-making (MCGDM) method based on the improved single-valued neutrosophic Hamacher weighted averaging (ISNHWA) operator and grey relational analysis (GRA) to overcome the limitations of present methods based on aggregation operators. First, the limitations of several existing single-valued neutrosophic weighted averaging aggregation operators (i.e. , the single-valued neutrosophic weighted averaging, single-valued neutrosophic weighted algebraic averaging, single-valued neutrosophic weighted Einstein averaging, single-valued neutrosophic Frank weighted averaging, and single-valued neutrosophic Hamacher weighted averaging operators), which can produce some indeterminate terms in the aggregation process, are discussed. Second, an ISNHWA operator was developed to overcome the limitations of existing operators. Third, the properties of the proposed operator, including idempotency, boundedness, monotonicity, and commutativity, were analyzed. Application examples confirmed that the ISNHWA operator and the proposed MCGDM method are rational and effective. The proposed improved ISNHWA operator and MCGDM method can overcome the indeterminate results in some special cases in existing single-valued neutrosophic weighted averaging aggregation operators and MCGDM methods.

Case Retrieval Strategy of Turning Process Based on Grey Relational Analysis

To solve the problem of long response time when users obtain suitable cutting parameters through the Internet based platform,a case-based reasoning framework is proposed.Specifically,a Hamming distance and Euclidean distance combined method is designed to measure the similarity of case features which have both numeric and category properties.In addition,AHP(Analytic Hierarchy Process)and entropy weight method are integrated to provide features weight,where both user preferences and comprehensive impact of the index have been concerned.Grey relation analysis is used to obtain the similarity of a new problem and alternative cases.Finally,a platform is also developed on Visual Studio 2015,and a case study is demonstrated to verify the practicality and efficiency of the proposed method.This method can obtain cutting parameters which is suitable without iterative calculation.Compared with the traditional PSO(Particle swarm optimization algorithm)and GA(Genetic algorithm),it can obtain faster response speed.This method can provide ideas for selecting processing parameters in industrial production.While guaranteeing the characteristic information is similar,this approach can select processing parameters which is the most appropriate for the production process and a lot of time can be saved.

Effects of n-3 Fatty Acids Supplementation on Performance, Relative Organ Weight and Fatty Acid Composition of Thigh Meat in Broiler Chickens

This study was conducted to evaluate the effects of dietary supplementation with marine microbe accumulating n-3 fatty acids on growth performance, relative organ weight and fatty acid composition of thigh meat in broilers. A total of 480 broilers were randomly allotted to three treat-ments with eight replications per treatment and 20 chicks per pen. A corn-soybean meal-based diet was formulated as a control diet and the broilers were then provided with one of the following dietary treatments:(1) CON(basal diet);(2) N0.1(basal diet+0.10% marine microbe accumulating n-3 fatty acids);(3) N0.2(basal diet+0.20% marine microbe accumulating n-3 fatty acids). No significant differences were observed in the growth performance or the relative organ weight among treatments. However, the levels of saturated fatty acids(SFA) and monounsaturated fatty acids(MUFA)were significantly lower(P<0.05) in groups that received the n-3 fatty acids treatments, whereas polyunsaturated fatty acids(PUFA) were increased(P<0.05) significantly in these groups. Overall, these results indicate that dietary supplementation with marine microbe accumulating n-3 fatty acids can increase PUFA and decrease SFA and MUFA in thigh meat.

WEIGHTED ALGORITHM FOR FINGERPRINTING RELATIONAL DATABASES

The necessity and the feasibility of introducing attribute weight into digital fingerprinting system are given. The weighted algorithm for fingerprinting relational databases of traitor tracing is proposed. Higher weights are assigned to more significant attributes, so important attributes are more frequently fingerprinted than other ones. Finally, the robustness of the proposed algorithm, such as performance against collusion attacks, is analyzed. Experimental results prove the superiority of the algorithm.

A Weighted Algorithm for Watermarking Relational Databases

A weighted algorithm for watermarking relational databases for copyright protection is presented. The possibility of watermarking an attribute is assigned according to its weight decided by the owner of the database. A one-way hash function and a secret key known only to the owner of the data are used to select tuples and bits to mark. By assigning high weight to significant attributes, the scheme ensures that important attributes take more chance to be marked than less important ones. Experimental results show that the proposed scheme is robust against various forms of attacks, and has perfect immunity to subset attack.

Prevention of peripherally inserted central catheter-related infections in very low-birthweight infants by using a central line bundle guideline with a standard checklist

Objective:To investigate the effectiveness and feasibility of using a central line bundle(CLB)guideline with a standard checklist in the prevention of peripherally inserted central catheter(PICC)-related infections(CRIs)in very low-birth-weight infants(VLBWIs).Methods:Fifty-seven VLBWIs who underwent PICC insertion at a hospital in Qingdao,China,between November 2012 and June 2013,were monitored with the CLB guideline and a standard checklist.Fifty-three VLBWIs who underwent PICC insertion were monitored by standard hospital procedures.The incidence of CRIs was compared between the two groups.Results:The incidence of infection significantly decreased from 10.0%catheter days in the control group to 2.2%catheter days in the study group(p<0.05).The indwelling catheter time significantly increased in the study group compared to the control group(31.9±15.0days vs.24.8±7.4 days,respectively,p<0.05).Colonization infections also decreased from 6.9% catheter days in the control group to 2.2%catheter days in the study group(p<0.05).The incidence of catheter-related bloodstream infections decreased from 3.1%catheter days in the control group to 0%catheter days in the study group.Conclusion:The use of a CLB guideline with a standard checklist could be an effective and feasible protocol for preventing CRIs and prolonging indwelling catheter timein VLBWIs.

Prevalence of Metabolic Obese Normal Weight and Related Risk Factors in South China

[Objectives]Metabolic obese normal weight(MONW)is becoming one of the pubic problems which are threatening human health.Whereas,MONW was facing a great challenge for limited attention,especially for the female in China.The aim of this research was to estimate the prevalence of MONW and its related risk components in South China.[Methods]A community-based cross-sectional study was performed on 3349 residents aged 18-93 years in The First Affiliated Hospital of Jinan University,Guangzhou,China,in 2019.Data was collected by physical examination data which included physical measurements and laboratory examinations.[Results]In all subjects,55%were females(M/F=1509/1840).The prevalence of MONW was 16.09%(0.04%for male,16.05%for female,P<0.001).The prevalence increased significantly with increasing age in both genders(P<0.001).The binary logistic regression analysis shows that among the risk factors with MONW,age,BMI,gender,systolic pressure,hypertension[Male:ORs=2.56,95%CI(1.23,5.32);Female:ORs=2.88,95%CI(1.76,4.71)]and hypertriglyceridemia[Male:ORs=3.23,95%CI(1.67,6.19);Female:ORs=2.57,95%CI(1.64,4.03)]were found to be statistically significant.The level of ALT in MONW group was(27.88±15.85)in male and(24.33±15.75)in female,which were significantly higher than those in the non-MetS group.[Conclusions]The prevalence of MONW was pretty high.We considered MONW be significantly associated with the increase of ALT.Female gender,advanced age,and elevated ALT were independent risk factors for MONW.It was high time that the government should raise the public attention toward metabolic function in normal weight population.Effective prevention and treatment strategies for MONW and its risk factors should be developed targeting different ages and genders.

基于G1-EW云模型的火工品保障人员能力素质评估

针对火工品保障人员能力素质评估问题,根据全面质量管理理论和过程安全管理理论,在指标设置过程中采用灰色关联分析法对指标进行筛选,构建了较为科学的评估指标体系。通过博弈论思想将序关系分析法与灰色关联分析法(G1)联合使用求解的指标权重与熵权法(entropy weight,EW)所求权重进行组合,使权重设置更合理,运用云模型实现对评估指标的定量分析与定性分析的综合考虑,最终建立了一种基于G1-EW云模型的火工品保障人员能力素质评估模型。实例验证结果证明了该模型合理、有效,对火工品保障人员能力素质提升具有一定的指导作用。

顾及环境敏感特征的铁路线路方案优选方法研究

为合理地解决环境敏感区铁路线路方案综合优选问题,研究顾及环境敏感特征的铁路线路方案优选方法 .首先,基于文献调研和环境敏感区特征探析,分析总结影响线路方案的因素,构建涵盖4大方面18项指标的顾及环境敏感特征的铁路线路方案优选指标体系.其次,在专家经验主观赋权和工程信息客观赋权的基础上,运用灰色关联分析理论进行组合赋权.然后,结合改进优劣解距离法(Technique for Order Preference by Similarity to an Ideal Solution, TOPSIS)确定各线路方案的相对贴近度,进而实现线路方案优选.最后,以新建铁路西宁至成都线合作至郎木寺段线路方案选择为例进行优选方法验证.研究结果表明:该区段线路的4个备选方案的相对贴近度依次为0.527 9,0.523 6,0.508 7,0.522 7,方案一的相对贴近度最大为最优方案,基于本方法的优选结果与实际专家论证结果一致;与传统TOPSIS比较,基于改进TOPSIS的运算结果避免了计算结果受单方面优势指标影响的弊端,在运算过程中将线路方案涉及的极端优劣指标进行综合权衡考量,得到的运算结果更贴近实际情况.研究成果可为未来环境敏感区线路方案优选问题提供一种新的优选思路.

基于组合赋权和灰色关联TOPSIS的电子商务代运营服务商选择研究

专业的电子商务代运营服务商能较好地降低电商服务成本,提高电商运营效率,成为众多中小实体企业进入电商行业的必然选择。为便捷有效地对电子商务代运营服务商进行综合评价与选择,建立了基于DEMATEL、熵权法组合赋权与灰色关联TOPSIS相结合的多属性综合决策方法。首先,将DEMATEL计算的权重和熵权法计算的熵权采用乘法合成法组合赋权;其次,将TOPSIS计算的相对接近程度和灰色关联分析计算的灰色关联度进行混合计算,通过灰色关联贴近度完成备选方案的排序和优选;最后,利用建立的评价方法对婴儿床制造企业Q公司选择电子商务代运营服务商开展了实证分析。从实证分析可以看出,这种评价方法可以为中小企业选择电子商务代理运营服务商提供一种更加便捷有效的优化方法。

基于VWM-GRA的新型Fuzzy-FMEA复杂装备风险评估方法

失效模式和影响分析(Failure Mode and Effect Analysis,FMEA)是一种识别和预防复杂装备潜在故障模式的风险评估方法,然而,现有FMEA方法采用等权重和精确数表征不确定情形下的风险因素评估信息,导致风险优先数(Risk Priority Number,RPN)难以准确评估复杂装备故障模式的风险优先级。针对这一难题,文中提出了一种基于变权方法-灰色关联分析(Variable Weight Method-Grey Relation Analysis,VWM-GRA)的新型Fuzzy-FMEA复杂装备风险评估方法。在风险因素权重分配方面,在模糊熵值法的基础上,考虑风险评估信息对风险因素权重的影响,构建风险因素变权综合模型以动态调整风险因素权重值,据此确定风险因素的客观变权重;在风险优先数排序方面,在模糊语言变量表征风险因素评估信息的基础上,考虑风险因素评估信息不确定性量化对故障模式排序精度的影响,构建故障模式模糊灰色关联分析模型,以获取评估信息数据序列间的相对关联度,据此评估故障模式的风险优先级。最后,通过航空发动机主轴轴承的故障模式风险实例,分析验证文中方法的有效性。案例分析表明:该方法能够有效解决不确定情形下准确评估复杂装备故障模式风险优先级的难题。

基于序关系分析—独立性权系数法的含水层富水性研究

为评价冯家塔煤矿4煤顶板山西组砂岩含水层富水性,选取了山西组富水砂岩厚度、岩心采取率、砂泥岩互层层数、脆塑性岩厚度比、砂岩岩性系数5个影响因素,利用序关系分析法求出影响山西组砂岩含水层富水性的主观权重,利用独立性权系数法求出客观权重,采用乘法合成法得出综合权重,构建了富水性评价模型。结果表明,冯家塔4煤顶板山西组砂岩含水层富水性较强和强富水区域主要分布在井田南部和西部,弱富水区域主要在井田北部及中部小部分区域。通过对比矿井物探、井下积水区及抽水试验的结果,预测模型准确率较高,与实际情况相符。

基于最优组合权重的GRA-TOPSIS地下采场爆破方案优选模型

从经济技术、人员设备安全及爆破质量参数等3个方面综合考虑,选取15项二级指标作为影响采场爆破效果的评判标准,将AHP法与熵权法相结合进行赋权以确定最优权重,并将优劣解距离法(TOPSIS)与灰色关联法(GRA)相结合,构建GRA-TOPSIS综合评价模型。以某铜矿为例,初选5种爆破方案,根据评价指标对各爆破方案进行定量分析,得出其综合优越度,进而确定最优爆破方案。研究结果表明,5种爆破方案综合优越度分别为58.5%、62.0%、35.0%、68.7%、32.8%,即最优爆破方案为倾斜掏槽、80°倾斜崩矿。经矿山实践验证,评价结果与实际爆破效果吻合,表明将该模型用于采场爆破方案优选是可行的。

河南省引黄受水区农业水资源安全综合评价

农业水资源安全对粮食安全、生态环境和农村经济发展意义重大。为推动区域农业水资源高效利用和可持续发展,综合考虑不确定性和复杂性因素的影响,采用序关系分析法、熵权法、TOPSIS法,选取水资源禀赋、生态环境和水资源利用3个子系统11个指标,构建评价指标体系,评估2022年河南省引黄受水区14个地级市的农业水资源安全状况。结果表明:14个地级市中除开封市为水资源“不安全”等级以及新乡市、鹤壁市、濮阳市为水资源“一般安全”等级外,其他10个地级市均为水资源“较安全”等级,距离“安全”等级还有一定距离。建议采取提升水质、增加可利用水资源量、调整作物种植结构、提高水资源利用效率、实施最严格水资源管理制度等措施,保障河南省引黄受水区农业水资源安全。

一测多评法测定法制半夏曲中11种成分含量及其GRA、EW-TOPSIS质量评价

目的采用一测多评(QAMS)法同时测定法制半夏曲中肌苷、鸟苷、腺苷等11种成分含量,并建立其灰色关联度分析(GRA)联合熵权逼近理想解排序分析法(EW-TOPSIS)综合质量评价方法。方法采用Shimadzu C 18色谱柱;乙腈-0.5%醋酸为流动相,梯度洗脱,流速1.0 mL·min-1;检测波长254和290 nm。以对甲氧基肉桂酸乙酯为内参比物质,计算其他10个成分的相对校正因子(RCF),测定各成分含量。采用GRA联合EW-TOPSIS模型对法制半夏曲进行综合质量评价。结果法制半夏曲中11种成分在一定浓度范围内线性关系良好,相关系数均>0.999;平均加样回收率96.94%~100.12%(RSD<2.0%,n=9);QAMS与外标法(ESM)实测值无明显差异。GRA模型相对关联度0.2903~0.6187,EW-TOPSIS模型相对接近度0.2114~0.6343;GRA和EW-TOPSIS模型综合评价结果基本一致。结论QAMS法便捷、准确,可用于法制半夏曲多指标成分定量控制,GRA联合EW-TOPSIS模型可用于法制半夏曲综合质量评价。

基于两种Dixon技术的乳腺磁共振T2WI序列图像质量对比研究

目的 对比分析乳腺MRI T2WI序列中双回波快速水脂分离(Fast Dixon)技术与传统两点法水脂分离(Dixon)技术图像质量,探讨两种Dixon技术的临床应用价值。材料与方法 回顾性分析2022年6月至2023年3月广西壮族自治区人民医院同时行Fast Dixon(Fast Dixon组)与两点Dixon(两点Dixon组)两种脂肪抑制T2WI序列的41例乳腺MRI检查女性患者病例。综合分析两组图像的质量(包括总体图像质量、脂肪抑制质量、纤维腺体组织与实性病灶的清晰度及在腋窝、胸壁、皮肤区域的运动伪影大小);计算病灶、腋窝、胸肌、正常实质的信噪比(signal-to-noise ratio,SNR)及病灶实质对比噪声比(contrast-to-noise ratio,CNR)。采用Kendall’s W系数评估观察者间主观评分数据的一致性,采用组内相关系数(intra-class correlation coefficient,ICC)评价观察者间图像质量客观定量评价参数的一致性。计数资料用非参数检验进行比较,计量资料采用配对t检验或Wilcoxon符号秩检验。P<0.05为差异有统计学意义。结果 主观评价:两名医师主观评分一致性较好或极好(Kendall’s W=0.773~0.928,P<0.001);两种Dixon技术均可获得均匀一致的脂肪抑制图像质量(P>0.05);Fast Dixon组在腋窝、胸壁、皮肤区域运动伪影更小,总体图像质量较两点Dixon组好,差异有统计学意义(P<0.05);两组图像纤维腺体组织及病灶的清晰度差异无统计学意义(P>0.05)。客观评价:两名观察者观测值计算所得SNR和CNR具有极好的一致性(ICC=0.897~0.936,P<0.001);Fast Dixon组在病灶、正常实质、胸肌及腋窝的SNR优于两点Dixon组(P<0.05);两组病灶的CNR差异无统计学意义(P>0.05)。结论 与两点Dixon技术相比,Fast Dixon技术既可获得均匀一致的脂肪抑制图像,同时运动伪影较少,显著改善乳腺周围区域的图像质量,提升乳腺MRI T2WI序列总体图像质量。

对地观测卫星姿态控制系统效能评估方法

卫星系统效能评估问题,是卫星提高工作效率和卫星方案优化设计的基础。以对地观测卫星姿态控制系统作为效能评估的对象,通过对卫星的任务需求进行分析,建立对地观测卫星姿态控制系统效能评估指标体系;基于灰色关联分析相关理论,引入熵权法计算指标权重,建立效能评估模型,计算得到综合灰色关联度,实现卫星姿态控制系统效能评估;通过数据验证所建体系具有可实现性与实用性。

肥胖相关肾病的发病机制及营养治疗进展

我国成年居民肥胖患病率呈上升趋势,肥胖与肾脏病的发生、发展密切相关。其发病机制可能与肥胖引起肾小球高滤过、肾素-血管紧张素-醛固酮系统过度激活、机体慢性炎症、高胰岛素血症和胰岛素抵抗、异位脂质积累和脂毒性等相关。营养治疗,包括营养素摄入、食物的选择以及膳食方案的制定,是肥胖相关肾病治疗的基石及重要组成部分,除此之外还有药物及减重手术等治疗方式。