河南卢氏县有个王尔鉴

清朝康乾时期,卢氏县东明镇北苏村有个读书人叫王尔鉴。他生于清圣祖康熙四十二年(1703年),卒于乾隆三十一年(1766年),享年63岁。王尔鉴生活在清王朝的盛世,社会比较安定。他家道中富,生活比较优裕。父亲读过诗书,有点儿文化底蕴,但并没有什么功名,可他是个开明士绅,明白识字读书的重要,希望自己的儿子读书仕进光宗耀祖,因而给他取字"在兹",号"熊蜂"。

Identification of structural entities in NdF_3-LiF melts with cryoscopic method

Nd-F species in NdF3-LiF melts were studied using cryoscopic method.Liquidus temperatures of melts of various compositions were determined by differential thermal analysis(DTA).Based on the different model calculations,NdF4- was identified as the most likely Nd-F entity in the melts in which the mole fraction of NdF3 was lower than 20%,considering only one single Nd species in the melt,and which was formed in accordance with Temkin model or Flood model.Then,activities of different components in the melts were researched.The results show that activity of LiF decreases,and that of NdF3 increases with increasing the mole fraction of NdF3.The value of activity coefficient of NdF3 is higher than 1,and that of LiF is lower than 1.

New Genera of Foraminifera Identified for the Upper Badenian Deposits to the North-Eastern Part of the Moldavian Platform

In the North-East of the Moldavian Platform, the upper Badenian is composed of three lithologic units, on top of which there is Limestones and Marls with Lithothamnium Formation. At the level of this formation, the geological research conducted in four localities near the Prut Valley demonstrated, based on two new foraminifera genera identified in this area--Oolina and Velapertina-favorable conditions for the development of the stenohaline fauna, a marine shelf environment with warm water, as well as the certitude regarding the age of the late Badenian for these. These results were not previously reported in this area.

Identification of dynamic model parameters for lithium-ion batteries used in hybrid electric vehicles

An electrical equivalent circuit model for lithium-ion batteries used for hybrid electric vehicles （HEV） is presented. The model has two RC networks characterizing battery activation and concentration polarization process. The parameters of the model are identified using combined experimental and extended Kalman filter （EKF） recursive methods. The open-circuit voltage and ohmic resistance of the battery are directly measured and calculated from experimental measurements, respectively. The rest of the coupled dynamic parameters, i.e. the RC network parameters, are estimated using the EKF method. Experimental and simulation results are presented to demonstrate the efficacy of the proposed circuit model and parameter identification techniques for simulating battery dynamics.

Identification of Cholera Source in Mariupol City

The cases of cholera in Mariupol and adjacent areas which were observed within the period of May-August, 2011 are investigated. Thirty-two diseased and 22 vibriocarriers were found on the territory of the city in the course of epidemic. The potential sources of infection are specified. The ways to avoid similar situations in the future are suggested. The analysis of the locations of the cholera contamination sources results in the obvious conclusion that most of them are connected with the place where the river Kalmius meets the Azov Sea. Waste flow from the residential solid waste landfill brings a considerable harm to the river Kalmius and the Azov Sea.

Disease gene identification by using graph kernels and Markov random fields

Genes associated with similar diseases are often functionally related.This principle is largely supported by many biological data sources,such as disease phenotype similarities,protein complexes,protein-protein interactions,pathways and gene expression profiles.Integrating multiple types of biological data is an effective method to identify disease genes for many genetic diseases.To capture the gene-disease associations based on biological networks,a kernel-based Markov random field(MRF)method is proposed by combining graph kernels and the MRF method.In the proposed method,three kinds of kernels are employed to describe the overall relationships of vertices in five biological networks,respectively,and a novel weighted MRF method is developed to integrate those data.In addition,an improved Gibbs sampling procedure and a novel parameter estimation method are proposed to generate predictions from the kernel-based MRF method.Numerical experiments are carried out by integrating known gene-disease associations,protein complexes,protein-protein interactions,pathways and gene expression profiles.The proposed kernel-based MRF method is evaluated by the leave-one-out cross validation paradigm,achieving an AUC score of 0.771 when integrating all those biological data in our experiments,which indicates that our proposed method is very promising compared with many existing methods.

Hypercoagulability in cancer patients grouped by syndromes differentiated with the theory of abnormal hilit in traditional Uyghur medicine

OBJECTIVE:To investigate the relationship in malignant-neoplasm patients of hypercoagulability between syndromes differentiated with the theory of abnormal hilit in traditional Uyghur medicine(TUM).METHODS:A total of 248 patients with malignant tumors were enrolled.Based on the theory of TUM they were divided into two groups:abnormal Savda and abnormal Non-Savda(including abnormal Khan,abnormal Sepra and abnormal Belghem types);fifty healthy volunteers were selected as controls.Platelet(PLT),prothrombin time(PT),plasma fibrinogen(FIB),thrombin time(TT),activated partial thromboplastin time(aPTT)and D-Dimer(D-D)were measured in both groups.RESULTS:Compared with the control and abnor-mal Non-Savda groups,in the abnormal Savda group the PLT count increased(P<0.05),the PT was lengthened(P<0.01),and the FIB significantly increased(P<0.01).D-Ds in the three groups were significantly different(P<0.05).No significant difference was found inTT and aPTT values(P>0.05).CONCLUSION:Hypercoagulability existed in patients with malignant tumors in the different types of TUM syndromes,especially in the abnormal Savda group;this was characterized by increased blood viscosity,platelet aggregation and thrombosis.D-D appears to be a significant predictor for the therapeutic effect of TUM in relation to malignant tumor therapies.