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Copyright of Journal of Ecology & Rural Environment is the property of Journal of Ecology & Rural Environment Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agro-Environment Science is the property of Journal of Agro-Environment Science Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Zhengzhou University (Natural Science Edition) is the property of Journal of Zhengzhou University (Natural Science Edition) Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective To investigate the biological functions and related pathological mechanisms of Aldo-keto reductase family 1 member B10（AKR1 B10） in hepatocellular carcinoma（HCC）. Methods The COLE database was used to analyze the mRNA expression of AKR1 B10 in normal liver cells and HCC cell lines. The UALCAN and Oncomine databases were used to analyze the mRNA expression of AKR1 B10 in HCC tissue and adjacent tissue. Western blot was used to investigate the difference in the protein expression of AKR1 B10 between HCC tissue and adjacent tissue. AKR1 B10 in HepG2 and Huh7 cells was knocked down by lentivirus, and the cells were divided into control group and AKR1 B10 knockdown group（which was further divided into shAKR1 B10 1# group and shAKR1 B10 2# group）. AnnexinVAPC/PI double staining, colony formation assay, and the method of subcutaneous xenograft tumor were used to observe the apoptosis of HCC cells, colony formation, and the change in the volume of subcutaneous xenograft tumor after AKR1 B10 knockdown. The peroxide-sensitive fluorescent probe DCFH-DA and Western blot were used to measure the changes in ROS and related proteins, such as pATMser1981, γ-H2 AX, c-Caspase-3, and c-RARP in HCC cells. A one-way analysis of variance was used for comparison of continuous data between multiple groups, and the SNK-q test was used for further comparison between two groups. Results The CCLE database showed that the mRNA expression of AKR1 B10 in HCC cells was significantly higher than that in normal liver cells) the Oncomine database suggested that the mRNA expression of AKR1 B10 in HCC tissue was more than 10 times that in adjacent tissue) the UALCAN database showed that the AKR1 B10 gene was highly expressed in HCC tissue. For the six patients in this study, the expression of AKR1 B10 in HCC tissue was significantly higher than that in adjacent tissue. Compared with the control group, the AKR1 B10 knockdown group had a significant reduction in the colony formation ability of HCC cells（P<0.001） and a significant increase in apoptosis rate（P<0.001）. Compared with the control group, the AKR1 B10 knockdown group had significant increases in ROS, the markers for DNA damage p-ATMser1981 and γ-H2 AX, and the indices for cell apoptosis c-Caspase-3 and c-RARP. In the BALB-c/Nude mouse model, compared with the control group, the AKR1 B10 knockdown group had a significant reduction in tumor volume since day 13 after allograft transplantation（P<0.05）. Conclusion AKR1 B10 may be an effective therapeutic target for the treatment of HCC. [ABSTRACT FROM AUTHOR]

With the rapid development of new network media, the quandty of oniine reviews has a tendency of explosive growth. Tradkional manual methods for opinion mining have some problems when deaiing wtth tremendous oniine texts, such as low efticiency, fuzzy ciassitication boundary, and iiirited domain-adapion ablitty. In order to solve the above proWems, we improve the tradtional latent Dirichlet allocation (LDA) model, and propose a LDA topic model based on domain identification for o-pinion mining of online reviews. Firstly, a domain layer is added to ihe standard LDA model lo sample the domain lags of ihe document, and field parameters are utilized lo solve the LDA model. Secondly, given the sentimental connection between sentences9 we insert a sentiment layer between the topic layer and word layer. Sentimental transition variable is introduced lo denote related characters, which can increase the accuracy of senlimenl polarity analysis. Experimental results verify ihe validity of ihe pro-posed model and theory. [ABSTRACT FROM AUTHOR]

How to automatically extract valuable opinion information from enormous texts has become an important technical challenge. Currently, most opinion mining methods are based on the assumption that topics are independent of each other. However, there are complicated inherent relationships between topics. In order to solve the above problems, based on standard CTM model, the paper proposes a hybrid correlated topic model that mixes topic with sentiment to perform opinion mining. Considering the topic correlation of documents, opinion characters and potential sentiment tendency are analyzed. Based on these results, sentiment polarity of the whole review and each topic are obtained. The simulation results verify the validity of the proposed model. R language is also used to visualize the experimental results. [ABSTRACT FROM AUTHOR]

How to automatically extract related information from enormous texts has become a huge challenge. As an efficient way to solve this problem, text classification has attracted much attention, in which text representation is a critical factor to affect classification results. The correlated topic model can implement text representation, which can correctly reflect the correlation between topics under the case to remain the integrity of information. Based on this model, we optimize feature selection and the number of topics, and determine the number of topics with perplexity and log-likelihood function. We adopt the principal component analysis algorithm based on mutual information to optimize feature selection, which can reduce data dimension and the redundancy of text features. The R language is used to visualize the experimental results. [ABSTRACT FROM AUTHOR]

Many current methods of opinion mining are coarse-grained, which are practically prob-lematic due to insufficient feedback information. To address these problems, we propose a novel topic and sentiment joint maximum entropy LDA model in this paper for fine-grained opinion mining. Considering semantic and location information of words, a maximum entropy component is first added to the traditional LDA model to distinguish background words, aspect words and opinion words. Both the local extraction and global extraction of these words are further realized. Secondly, a sentiment layer is inserted between a topic layer and a word layer to perform fine-grained opinion mining on word or phrase level. Transition variable is introduced to deal with sentiment dependency. The sentiment polarity of the whole review and each topic are simultaneously acquired. Experimental results demonstrate the validity of the proposed model and theory. [ABSTRACT FROM AUTHOR]

Objective: To study the effect of endoscopic nasobiliary drainage and percutaneous transhepatic biliary drainage in the treatment of acute obstructive suppurative cholangitis. Methods: 335 cases of patients with acute obstructive suppurative cholangitis in our hospital were divided into group A, B,C according to different treatment methods, group A of 125 cases of patients used traditional common bile duct and T tube drainage, group B of 100 cases of patients used endoscopic nasobiliary drainage, and group C of 110 cases of patients used percutaneous transhepatic biliary drainage. The curative effect, purulent bile drainage, serum bilirubin level of 1 week after treatment, hospitalization time and complication rate of the three groups were compared. Results: The total effective rate of group B and group C were 91.0%(91/100) and 90.9%(100/110), significantly higher than 71.2%(89/125) of group A, the difference was statistically significant(P<0.05), there was no significant difference in the effective rate between group B and group C(P>0.05). The purulent bile drainage volume, postoperative serum bilirubin level of 1 week after treamtent, and hospitalization time of group B and group C were better than those of group A,with significant difference(P<0.05), there was no significant difference between group B and group C(P>0.05); The complication rate of group B and group C were 11.0%(11/100) and 8.2%(9/110), significantly lower than 28.0%(35/125) of group A, with significant difference(P<0.05). Conclusion: The effect of endoscopic nasobiliary drainage and percutaneous transhepatic biliary drainage is obviously superior than the traditional open operation in the treatment of acute obstructive suppurative cholangitis, with less postoperative complications, it is worthy of popularization and application. [ABSTRACT FROM AUTHOR]