慢性心衰患者心脏超声诊断参数价值分析

目的:分析慢性心衰患者心脏超声诊断参数价值。方法:在本次研究中,我们选择研究对象为2020年6月4日至2022年6月5日,35例慢性心衰的患者为观察组,与此同时,再选择同期的健康体检者35例为对照组,对上述研究人员均进行心脏超声检查,分析两组人员的左心室舒张末期内径、左心房内径以及左室射血分数。结果:观察组患者的左心室舒张末期内径、左心房内径、血浆脑钠肽数据明显高于健康人员的对照组,同时左室射血分数,观察组则低于对照组,组间差异存在统计学意义,P<0.05。结论:心脏超声具有安全、成本低、可重复操作的优势,可以有效反映患者心脏原发性异常的情况,针对于慢性心衰患者而言,可及时有效观察瓣膜、心包、心室等状态,为患者提供较为科学的数据支持。

关于价值系数参数规划的目标函数的SAS求法

在关于价值系数规划的计算中,由于最优基随参数的改变而变化,所以当价值系数的参数φ改变时,其目标函数应该是φ的一次函数。在一般的手工计算中,规模较大的线型规划计算起来比较复杂。在此根据目标函数Z(φ)是一次函数的特征,应用SAS/or模块的LP过程分析出Z(φ)的表达式。

ITP患者血小板分析三项参数诊断价值的探讨

目的 :探讨血小板分析三项参数对 ITP的诊断价值。方法 :回顾性分析了 91例 ITP患者的血小板分析三项参数资料。结果 :ITP组血小板分析三项参数与正常组相比差异具有非常显著性意义( P<0 .0 1 )。 ITP患者 PT与 MPV呈负相关关系 ,即 PLT明显减少 ,而 MPV值增大。随 MPV值增大 ,PDW也增大。结论 :PLT、MPV和 PDW三项参数综合分析对

基于GPEM主旋律分析的系统序参量识别方法研究

针对系统的演化与发展,引入基于目标规划评价模型(GPEM)的主旋律分析方法,识别引导与支配系统发展的序参量。通过分析主旋律与序参量间的关系,认为在GPEM中的价值参数结构是二者的共同体现,且主旋律分析是序参量识别的前提与基础。应用基于GPEM的主旋律分析方法对系统所属群体进行相关计算,可以获得群体发展的主旋律,同时可以获得群体成员在各主旋律下的排名向量,进而认为与理想排名向量相似系数最高的主旋律在群体发展过程中发挥着关键性作用,则该主旋律对应的价值参数结构即为序参量。通过观察该主旋律所集聚成员在理想排名向量中的位置,来判断与分析序参量的特征。

基于现代萃智理论的科技型小微企业金融支持方法研究

打破金融机构对科技型小微企业科技能力识别差的现状,建立各行业通用的科技型小微企业核心技术水平识别方法,有利于提升金融机构科技投资能力,降低其投资风险。现代萃智(TRIZ)更注重企业创新同市场的结合,其包含的技术系统优胜劣汰思想以及相应的产品进化趋势判别工具有利于扩展金融投资研究的角度,将现代TRIZ理论与金融结合,从MPV的改进程度来识别科技型小微企业技术水平,既可构建出一种金融与科技的通道,又可引导金融资源流向具有较高价值核心技术的科技型小微企业。

基于TRIZ功能裁剪法的养老护理床设计

将TRIZ理论应用于养老护理床创新设计,提出应用TRIZ功能裁剪法对初始设计进行改进的方法。针对养老机构对护理床的特定要求进行初始设计。运用组件分析、功能模型及功能价值分析等方法识别初始设计的不足,运用功能裁剪法进行分析和改进,得到针对初始设计问题的两个不同改进方案;将两个改进方案结合,得到最终的养老护理床设计方案。使用功能裁剪法可优化产品创新设计方案,提供多种改进的方向和思路,形成专利阵,为设计方案评价提供依据。

Numerical evaluation of buckling behavior in space structure considering geometrical parameters with joint rigidity

The buckling behavior of single layer space structure is very sensitive. The joint rigidity, moreover, is one of the main factors of stability which may determine the entire failure behavior. Thus, the reasonable stiffness of joint system, which is neither total pin assumption nor perfect fix condition, is very important to apply to the real single layer space one. Therefore, the purpose of this work was to investigate the buckling behavior of single layer space structure, using the development of the upgraded stiffness matrix for the joint rigidity. To derive tangential stiffness matrix, a displacement function was assumed using translational and rotational displacement at the node. The geometrical nonlinear analysis was simulated not only with perfect model but also with imperfect one. As a result, the one and two free nodal numerical models were investigated using derived stiffness matrix. It was figured out that the buckling load increases in proportion to joint rigidity with rise-span ratio. The stability of numerical model is very sensitive with the initial imperfection, responding of bifurcation in the structure.

Study on extracting alumina from fly ash by compound additive activation method

According to the chemical and mineral composition characteristics of the fly ash,alumina can be extracted from fly ash through the calcining method by using sodium carbonate and calcium carbonate additives.The effects on leaching rate of alumina have been investigated. The results showed that the fly ash can be activated effectively and the leaching rate of alumina can be improved to more than 92% through this method. The best process parameters were the ratio of raw materials,i. e. the material weight ratio of fly ash,calcium carbonate and sodium carbonate was 1. 0∶1. 2∶0. 9. The activating temperature was 850℃-900℃,activating time was 3 h. This process has a potential application prospect and improves the value of comprehensive utilization of fly ash.

Pointwise Convergence of a Nonparametric Estimator of Regression in a Measurable Space Used in Contingent Valuation Method

The Contingent Valuation Method is used to evaluate individual preferences for a change concerning a public non-market resource or property. The objective is to build a nonparametric forecasting model of an individual＇s Willingness To Pay according to geographical location. Within this framework, an estimator （of type Nadaraya-Watson） is proposed for the regression of the variable related to geolocation. The specific characteristics of the location variable lead us to a more general regression model than the traditional models. Results are established for convergence of our estimator.

基于多方法融合的需求提取模型研究

针对用户对复杂产品知识了解不足所导致的需求提取局限性,本文融合发明问题解决理论(TRIZ)中的技术成熟度预测、需求进化定律、技术进化定律和主要价值参数(Main parameter of value,MPV)等工具,提出一种多方法融合的需求提取模型。该模型通过专利数据确定产品生命周期,将需求进化和技术进化结合,从宏观和微观两个层面进行未来需求预测,同时将主要价值参数融入到隐性需求挖掘过程中,构建面向复杂产品的需求预测以及挖掘模型,并以回风空气净化装置的需求提取为例验证该模型的有效性。

Geobiological approach to evaluating marine carbonate source rocks of hydrocarbon

Evaluating the pre-Jurassic marine source rocks in China has been difficult because these rocks are generally too highor over-maturated for most traditional methods to work.As to the remaining parameter TOC (%),its lower limit for recognizing the carbonate source rocks in China has been in dispute.Nineteen Phanerozoic sections in the Middle-Upper Yangtze Platform and the Guizhou-Hunan-Guangxi Basin have been studied in search for a different approach to complementing the traditional evaluation method for these source rocks.We have applied a geobiological approach to tracing the organic carbon (OC) output and accumulation from the living stage (primary productivity) to the post-mortem deposited remains,and finally to the preserved burial organics.Four biological and geological parameters are employed to represent the OC of the three stages.A series of proxies of these parameters are discussed and integrated to establish a geobiological evaluation system independent of TOC and other traditional methods.Here we use the Guangyuan section in Sichuan as an example for the geobiological evaluation.Our results indicate that in the argillaceous rocks,the geobiological parameters show the qualified source rocks in accordance with high TOC values;but in the carbonates,the good source rocks delineated by the geobiological parameters have a wide range of TOC,from 0.03% to 1.59%,mostly<0.3%.We suggest that it is still premature to set TOC=0.3% or 0.5% as the lower limit for the pre-Jurassic carbonate source rocks in South China.

Keeping it simple: the value of an irreducibly simple climate model

Richardson et al. （Sci Bull, 2015. doi：10.1007/ sl1434-015-0806-z） suggest that the irreducibly simple climate model described in Monckton of Brenchley et al. （Sci Bull 60：122-135, 2015. doi：10.1007/s11434-014- 0699-2） was not validated against observations, relying instead on synthetic test data based on underestimated global warming, illogical parameter choice and near-in- stantaneous response at odds with ocean warming and other observations. However, the simple model, informed by its authors＇ choice of parameters, usually hindcasts observed temperature change more closely than the general-circu- lation models, and finds high climate sensitivity implausi- ble. With IPCC＇s choice of parameters, the model is further validated in that it duly replicates IPCC＇s sensitivity interval. Also, fast climate system response is consistent with near-zero or net-negative temperature feedback. Given the large uncertainties in the initial conditions and evolutionary processes determinative of climate sensitivity, subject to obvious caveats a simple sensitivity-focused model need not, and the present model does not, exhibit significantly less predictive skill than the general-circula- tion models.