Efficacy of Jian’ganle(健肝乐) versus Hugan Pian(护肝片),Glucuronolactone and Reduced Glutathione in Prevention of Antituberculosis Drug-induced Liver Injury

Summary： Evidence-based medicine is advocated by WHO and adopted by developed countries for many years. In China, however, the selection of essential medicine and various medical insurance reimbursement schemes medicine is usually based on experts＇ experience of prescription practice which is under heavy critics resulting from the lack of related comparative efficacy and evidence-based research. The efficacy of Jian＇ganle in prevention of drug-induced liver injury （DILI） caused by antituberculotics was evaluated in this study by comparison with Hugan Pian, glucuronolactone and reduced glutathione. Evidence was provided for relevant sectors such as Ministry for Human Resources and Social Security of the People＇s Republic of China and National Health and Family Planning Commission of the Peo- ple＇s Republic of China to select and renew the Essential Medicine List （EML）, the new rural cooperative medical scheme in China （NRCMS） list or the reimbursement list of industrial injury insurance. A total of 189 patients with initial pulmonary tuberculosis were divided into four groups who took antituberculotics combined with Jian＇ganle, Hugan Pian, glucuronolactone and reduced glutathione respectively. Their liver function profile including alanine aminotransferase （ALT）, aspartate aminotransferase （AST）, total bilirubin （TBIL）, direct bilirubin （DBIL）, total protein （TP）, albumin （A） and globulin （G） were detected at admission as baseline and after treatment. The Jian＇ganle group was compared with the three others by chi-square tests. In an aspect of maintaining bilirubin indexes normal, Jian＇ganle was more efficacious than glucuronolactone. And Jian＇ganle had a little more efficacy than reduced glutathione to maintain protein indexes normal as well. And the therapeutic regimen of antituberculotics combined with Jian＇ganle was the best in treating tuberculosis and preventing DILI at the same time. The study showed that among the four hepatinicas which demonstrated similar prevention of DILI caused by antituberculotics, Jian＇ganle has more advantages over the three others to some extent, which provides a reliable basis for health sectors to select and renew the EML, NRCMS List or the reimbursement list of industrial injury insurance.

Arabic Bank Check Processing: State of the Art

In this paper, we present a general model for Arabic bank check processing indicating the major phases of a check processing system. We then survey the available databases for Arabic bank check processing research. The state of the art in the different phases of Arabic bank check processing is surveyed （i.e., pre-processing, check analysis and segmentation, features extraction, and legal and courtesy amounts recognition）. The open issues for future research are stated and areas that need improvements are presented. To the best of our knowledge, it is the first survey of Arabic bank check processing.

Robust Non-Frontal Face Alignment with Edge Based Texture

This paper proposes a new algorithm, called Edge-based Texture Driven Shape Model （E-TDSM）, for nonfrontal face alignment task. First, the texture is defined as the un-warped edge image contained in the shape rectangle; then, a Bayesian network is constructed to describe the relationship between the shape and texture models; finally, ExpectationMaximization （EM） approach is utilized to infer the optimal texture and position parameters from the observed shape and texture information. Compared with the traditional shape localization algorithms, E-TDSM has the following advantages： 1） the un-warped edge-based texture can better predict the shape and is more robust to the illumination and expression variation than the conventional warped gray-level based texture; 2） the presented Bayesian network indicates the logic structure of the face alignment task; and 3） the mutually enhanced shape and texture observations are integrated to infer the optimal parameters of the proposed Bayesian network using face alignment task demonstrate the effectiveness and robustness EM approach. The extensive experiments on non-frontal of the proposed E-TDSM algorithm.