warning signs

warning signs的基本解释

-

[法] 警告标志

与warning signs相关的网络例句 [注：此内容来源于网络，仅供参考]

The CC MRI findings are characterized mainly by:(1)frequently-encountered multiple circular foci during the cysticercus survival:small excentric spotty images of the mural cysticercus scolex :slightly high signs on T1WI and middle-lower signs on T2WI;lower signs on T1WI and high signs on T2WI of the capsular liquid;lower signs of the cerebrospinal fluid but relatively high signs of the capsular liquid on FLAIR;and unremarkable peripheral edema;(2)scolex disappearance,enlarged capsular cavity and remarkable peripheral edema during cysticercus degeneration and necrosis;(3)lower signs on T1WI and T2WI and peripheral edema disappearance after the focal calcification;(4)findings shown by the enhanced scanning:strengthened (24/36) or non-strengthened (12/36) cyst-wall circular images;strengthened (22/36) or non-strengthened (14/36) small intracapsular spotty images;(5)cerebral-ventricular type often occurring in the third and fourth ventricles:one case in the third ventricle (1/36) and three cases in the fourth ventricle (3/36),all of suffered from obstructive hydrocephalus;(6)hydrocephalus caused by arachnoid adhesion (2/36) in meningeal type.

结果 脑实质型18例，脑室型4例，脑膜型3例，混合型11例，主要MRI特点：(1)囊虫存活期，病灶呈圆型，多发常见，附壁囊虫头节呈偏心型小点状影，T1WI呈略高信号，T2WI呈中低信号；囊液T1WI呈低信号，T2WI呈高信号；在FLAIR上脑脊液呈低信号，而囊液呈相对高信号；周围水肿不明显。(2)囊虫退变坏死期，头节消失，囊腔扩大，周围水肿明显。(3)病灶钙化后，T1WI及T2WI均呈低信号，周围水肿消失。(4)增强扫描表现为：囊壁环状增强(24/36)，或不增强(12/36)；囊内小点状影增强(22/36)，或不增强(14/36)。(5)脑室型：常发生于第三、四脑室，其中第三脑室1例(1/36)，第四脑室3例(3/36)，均引起阻塞性脑积水。(6)脑膜型：因蛛网膜粘连，而引起脑积水(2/36)。

Innovations: The first innovation is that it is targeted on the banking and overcomes incomparability by the disparity of different industries; this thesis analyzes financial condition of listed banks based on free cash flow which overcomes the shortage of operating activity net cash flow and financial indexes based on accrual basis, creating cash flow index early-warning model, binding the result of factor analysis and discriminant analysis to evaluate comprehensively, giving warning limit and judging warning degree based on factor score and discriminant score and reducing misjudgment of single statistical method; Financial early-warning system of listed banks is constructed with cash flow index early-warning system and non-financial index BSC early-warning system.

本文的创新点：仅以银行业为研究对象，克服行业差距带来的不可比性问题；以自由现金流量为基点分析上市银行的财务状况，克服以往学者所采用的经营活动净现金流和以权责发生制为基础的财务指标的不足，创建了现金流指标预警模型；综合因子分析和判别分析两种统计方法，以因子得分和判别得分为尺度设置警限、判断警度，降低单一统计方法的误判性；融合现金流指标预警体系和非财务指标的平衡计分卡预警体系构建了上市银行财务预警体系。

The first part is the introduction, which generally introduces the research purpose and significance of this thesis, the summary of the financial pre-warning researches both home and abroad, and the research main contexts and research methods; The second part is the comparison on the financial pre-warning methods existent, which compares the different methods by categories, makes a further analysis on the limits of existent methods, and proposes the improve thoughts of this research based on that; The third part is the basic theory, which makes a summary of the referent theories exerted on the research, and exposit the comparing mechanism of the grey prediction theory and the artificial neural network method concise; The fourth part is the frame work of the model, which illuminates the research designs step by step, such as the definition of the financial crisis, the method of sample select, the select and definition of the pre-warning variables, and makes an exposition of the establishment procedures of the whole models at last; The fifth part is the financial pre-warning based on the theory of grey prediction and artificial neural network, which mainly demonstrate the model establishment in the concrete, dividing into four part to carry out the part of pragmatic research integrally, building of indexes system, establishment of BP neural networks, dynamic financial pre-warning and test, analysis on the pre-warning result; The sixth part is conclusion, which sums up the main results of the whole research, clarifies the innovative points, and makes a discussion on the limits and future study directions of the research in this thesis.

其中，第一部分为导论，总括性概述本文的研究目的与意义，国内外研究综述，以及本文的研究内容和方法；第二部分为现有财务预警研究方法剖析，通过对现有预警方法进行分类比较，进一步分析现有预警方法的局限性，并在此基础上提出本文研究的改进思路；第三部分基本理论，对本文研究中运用的相关理论进行扼要概述，并简要阐述灰色预测理论与人工神经方法的融合机理；第四部分为模型研究框架，逐步阐释模型对财务困境的界定，样本数据的选取方法，预警变量的选取与定义等各个部分的研究设计，并对整体模型的构建步骤进行简要阐述；第五部分为基于灰色神经网络模型的财务预警，主要论述动态预警模型的具体实现过程，分模型指标体系的建立，BP神经网络的建立，动态财务预警与检验，以及预警结果分析四个部分全面阐述本文实证分析过程；第六部分为结论，总结本文研究得到的主要研究结论，以及本文研究中的创新之处，并对论文的不足与后续发展研究进行探讨。

与warning signs相关的网络解释 [注：此内容来源于网络，仅供参考]

Warning flasher：报警闪光灯 Warning horn 喇叭

Warning buzzer 蜂鸣器(倒车用) | Warning flasher 报警闪光灯 Warning horn 喇叭 | Warning sensor 报警传感器

masculine signs：阳性星座

water signs 水象星座 | earth signs 土象星座 | masculine signs 阳性星座(positive signs)

mutable signs：变动星座

从0度到29.59度你将得到本位星座(Cardinal Signs)里所有的中点位置;从30度到59.59度的固定星座(Fixed Signs);里得到所有的中点位置;从60度到89.59度的变动星座(Mutable signs)里得到所有的中点位置.