Prognostic value of fibrinogen and D-dimer-fibrinogen ratio in resectable gastrointestinal stromal tumors

AIM To investigate the prognostic value of preoperative fbri-nogen concentration （FIB） and D-dimer-fibrinogen ratio （DFR） in gastrointestinal stromal tumors （GISTs）.METHODS The purpose of this study was to retrospectively ana-lyze 170 patients with GISTs who were admitted to our hospital from January 2010 to December 2015. The op-timal cutoff values of related parameters were estimated by receiver operating characteristic （ROC） curve analysis. The recurrence free survival （RFS） rate was evaluated using Kaplan-Meier curves. Univariate analysis and multivariate Cox regression models were used to analyze the prognostic factors of GISTs. The relationship between the FIB, D-dimer, DFR, platelet count （PLT）, and the clinicopathological features of GISTs was described by the chi-square test or nonparametric rank sum test （Mann-Whitney test）.RESULTS In ROC analysis, the optimal cutoff values of FIB, D-dimer, DFR, and PLT were 3.24 g/L, 1.24 mg/L, 0.354, and 197.5 （× 109/L）, respectively. Univariate analysis and the Kaplan-Meier survival curve showed that FIB, D-dimer, DFR, PLT,National Institutes of Health （NIH） risk category, tumor size, tumor location, and mitotic index were signifcantly relevant to the 3-year and 5-year survival rate of patients （ P 〈 0.05）. Cox multivariate regression analysis illustrated that FIB （RR： 0.108, 95%CI： 0.031-0.373）, DFR （RR： 0.319, 95%CI： 0.131-0.777）, and NIH risk category （ RR： 0.166, 95%CI： 0.047-0.589） were independent prognostic factors of the RFS rate （ P 〈 0. 05）. Moreover, FIB, D-dimer, DFR, and PLT were correlated with the clinical features of GISTs.CONCLUSIONFIB, D-dimer, DFR, and PLT are all related to the prognosis of GISTs. Moreover, FIB and DFR may be independent risk factors for predicting the prognosis of resectable GISTs.

THE PERFORMANCE OF MT-CDMA SYSTEM IN THE PRESENCE OF CARRIER FREQUENCY OFFSET

In this letter,the sensitivity of an uplink Multi-Tone Code-Division Multiple Access (MT-CDMA) system to the Carrier Frequency Offset (CFO) is investigated. The analytical expression for the Bit Error Rate (BER) of uplink MT-CDMA in the presence of CFO is derived in a multipath Rayleigh fading channel which is verified through simulations. Both Maximal Ratio Combining (MRC) and Equal Gain Combining (EGC) are considered in combining multipath signals in the analysis. It is found that the BER performance can be improved with the number of multipath increasing in the presence of CFO.

Research on Route Planning Method Based on Active-Attack Strategy

Aimed at modern high-density,high overlapped and powerful antipersonnel stealthy penetration environment,route planning techniques on active-attack strategy were thoroughly and further studied,in order to get good probability of survival and perfect efficiency of task accomplishment.It provides a new thought for and a new solution to the application of route planning in new era.

劳动力市场的供求类型与调节措施的思考

本文较为全面地分析了现阶段我国劳动力市场的供求类型及劳动力供求的特点;分析了我国经济体制过渡时期中,劳动力市场发育的不全面性及其具体表现;认为作为完善的劳动力市场的重要标志的政府干预,对于完善劳动力市场机制和解决目前面临的沉重的就业压力,具有特别重要的意义,并藉此提出了一系列解决就业问题的政策措施。

A股与H股价值型融合仍将延续

在将 A 股市场与境外股市的比较过程中,我们首先得做好比较对象的选择。去年以来,A股与H股呈现核心资产“同向互动”、绩差股“双向互动”的运行特征,是估值方法趋同的必然结果,而非估值基准的接轨。从估值基准上看,由于国内股市存在诸多特定的因素,短期内尚难以接轨。

Holistic Disaster Risk Evaluation for the Urban Risk Management Plan of Manizales,Colombia

Disaster risk depends on both the physical vulnerability and a wide range of social, economic, and environmental aspects of a society. For a better risk understanding, a holistic or integrated perspective was considered when risk was assessed for the city of Manizales, Colombia. This assessment accounts not only for the expected physical damage and loss, but also for the socioeconomic vulnerability factors that favor secondorder effects in a disaster. This comprehensive approach allows the identification of different aspects related to physical vulnerability, social fragility, and lack of resilience that can be improved, thus enhancing integrated disaster risk management actions. The outcomes of this comprehensive assessment are currently being used as input to update the disaster risk management plan of Manizales.

Over 15.5% efficiency organic solar cells with triple sidechain engineered ITIC

Bulk-heterojunction(BHJ)organic solar cells(OSCs)showcase great advantages in device fabrication via low-cost and convenient solution-processing techniques for diverse applications(e.g.,flexible and semitransparent devices)[1,2].

Probabilistic Seismic Risk Assessment in Manizales,Colombia: Quantifying Losses for Insurance Purposes

A fully probabilistic seismic risk assessment was developed in Manizales, Colombia, considering assets of different types. The first type includes elements that are part of the water and sewage network, and the second type includes public and private buildings. This assessment required the development of a probabilistic seismic hazard analysis that accounts for the dynamic soil response,assembling high resolution exposure databases, and the development of damage models for different types of elements. The economic appraisal of the exposed assets was developed together with specialists of the water utilities company of Manizales and the city administration. The risk assessment was performed using several Comprehensive Approach to Probabilistic Risk Assessment modules as well as the R-System, obtaining results in terms of traditional metrics such as loss exceedance curve, average annual loss, and probable maximum loss. For the case of pipelines, repair rates were also estimated. The results for the water and sewage network were used in activities related to the expansion and maintenance strategies, as well as for the exploration of financial retention and transfer alternatives using insurance schemes based on technical,probabilistic, and prospective damage and loss estimations.In the case of the buildings, the results were used in the update of the technical premium values of the existing collective insurance scheme.

Integration of Probabilistic and Multi-Hazard Risk Assessment Within Urban Development Planning and Emergency Preparedness and Response: Application to Manizales,Colombia

The details of a multi-hazard and probabilistic risk assessment, developed for urban planning and emergency response activities in Manizales, Colombia, are presented in this article. This risk assessment effort was developed under the framework of an integral disaster risk management project whose goal was to connect risk reduction activities by using open access and state-of-theart risk models. A probabilistic approach was used for the analysis of seismic, landslide, and volcanic hazards to obtain stochastic event sets suitable for probabilistic loss estimation and to generate risk results in different metrics after aggregating in a rigorous way the losses associated to the different hazards. Detailed and high resolution exposure databases were used for the building stock and infrastructure of the city together with a set of vulnerability functions for each of the perils considered. The urban and territorial ordering plan of the city was updated for socioeconomic development and land use using the hazard and risk inputs and determinants, which cover not only the current urban area but also those adjacent areas where the expansion of Manizales is expected to occur. The emergency response capabilities of the city were improved by taking into account risk scenarios and after updating anautomatic and real-time post-earthquake damage assessment.

A Credit Risk Evaluation Approach to Neural Network Training by Means of Financial Ratios

In recent years artificial neural networks are used to recognize the risk category of investigated companies. The research is based on data from 81 listed enterprises that applied for credit in domestic regional banks operating in China. The backpropagation algorithm-the multilayer feedforward network structure is described. Each firm is described by 9 diagnostic variables and potential borrowers are classified into four classes. The efficiency of classification is evaluated in terms of classification errors calculated from the actual classification made by the credit officers. The results of the experiments show that LevenbergMarque training error is smallest among 4 learning algorithms and its performance is better, and application of artificial neural networks and classification functions can support the creditworthiness evaluation of borrowers.