Search

Objective To analyze the data of the artificial intelligence cervical cancer screening project in Baoding in 2021, understand the effect and existing problems of cervical cancer screening in Baoding, and provide a basis for improving the prevention and treatment of cervical cancer in the rural women population. Methods Screening data for married rural women aged 35-64 from three counties in Baoding City in 2021 were collected, and the data of precancerous lesions and cervical cancer screening was analyzed. Results The results show that artificial intelligence-assisted cervical cancer screening identified 863 cases of positive cytology, with a positivity rate of 7.94%. Additionally, 542 women with positive cytology underwent colposcopy, which revealed 18 cases of low-grade lesions, 20 cases of high-grade lesions, and 1 case of cervical cancer. There were statistically significant differences in the detection rates of AUSCS+, low-grade lesions, and high-grade lesions across three counties in Baoding from 2019 to 2021 （ χ2 = 858.90, P < 0.001； χ2 = 14.28, P=0.003; χ2 = 10.75, P = 0.013） . Conclusion The artificial intelligence cervical cancer screening project has shown some success, but there are still issues like a high rate of missed abnormal cases. The screening and prevention efforts for cervical cancer in Baoding City need further improvement. [ABSTRACT FROM AUTHOR]

Copyright of Food & Fermentation Industries is the property of Food & Fermentation Industries 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 Agricultural Science & Technology (1008-0864) is the property of Journal of Agricultural Science & Technology 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 Chinese Journal of Explosives & Propellants is the property of Chinese Journal of Explosives & Propellants 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 New Building Materials / Xinxing Jianzhu Cailiao is the property of New Building Materials 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 Secretary (16742354) is the property of Secretary 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 Shanghai Jiaotong University (Medical Science) is the property of Journal of Shanghai Jiaotong University (Medical Science) 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.)

In order to solve the problem that the recognition efficiency of sensitive word deformed bodies of the network text is not high, this paper proposed a sensitive word deformed bodies recognition algorithm based on decision tree. Firstly, it studied sensitive words and deformed bodies by analyzing the characteristics of Chinese characters and pronunciation and so on. Secondly, it constructed a sensitive word decision tree based on sensitive word library. Finally, it calculated the text sensitivity of new media such as Weibo by multi-factor improved model. The experimental results show that the proposed algorithm can achieve the highest recall rate and precision rate of 95% and 94% respectively when identifying Chinese sensitive words and deformed bodies. Compared with the improved algorithm based on the finite automaton, the recall rate and the precision rate are increased by 19. 8% and 21. 1% respectively. Compared with the sensitive information decision tree information filtering algorithm, the recall rate and the precision rate are increased by 17.9% and 18.1% respectively. The analysis show that the algorithm is effective in the recognition and automatic filtering of sensitive word deformed bodies. [ABSTRACT FROM AUTHOR]

Copyright of Acta Agronomica Sinica is the property of Crop Science Society of China 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 explore brain cortex proteomics changes during ischemic cerebral stroke (ICS), and to seek the biomarkers associated with ICS. Methods A total of 42 male SD rats were randomly divided into sham group (n=12) and ICS group (n=30). ICS model was induced by distal middle cerebral artery occlusion. Brain cortex tissues were collected at 1,6,24 and 48 h after ICS, respectively, after cerebral ischemia. Samples from different groups were subjected to tandem mass tag (TMT)-based quantitative proteomics analysis for identification of differentially expressed proteins. Gene Ontology enrichment analysis was utilized to classify the differentially expressed proteins. Western blot was used to verify the quantitative proteomics results. Results Compared with sham group, 25 proteins were considered to be differentially expressed in ICS group. Gene Ontology enrichment analysis revealed that the differentially expressed proteins were related to acute-phase response, inflammatory response, lipoprotein metabolic process, complement activation, classical pathway and innate immune response. The expression change of heat shock protein 27 (HSP27) was basically consistent with the quantitative proteomics results. Conclusions These 25 differentially expressed proteins may serve as potential biomarkers for ICS. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Drainage & Irrigation Machinery Engineering / Paiguan Jixie Gongcheng Xuebao is the property of Editorial Department of Drainage & Irrigation Machinery Engineering 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.)