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Copyright of Food Research & Development is the property of Food Research & Development Editorial Department 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.)

To observe the performance of human epididymis protein 4 (HE4), aldehyde dehydrogenase 1 (ALDH1) and adhesion molecule CD44 in differential diagnosis of benign and malignant ovarian tumors. 100 patients with ovarian carcinoma and 100 patients with benign ovarian tumor who were admitted to the hospital from January 2020 to May 2022 were selected, and included in the malignant group and the benign group. At the same time, 100 healthy women were selected as the control group. The expression of HE4 and ALDH1 in serum and CD44 in tissues of the three groups was compared. The value of the three parameters in differential diagnosis of benign and malignant ovarian tumors was analyzed using the receiver operating characteristic (ROC) curve. The levels of HE4 and ALDH1, and CD44 positive expression rate decreased in order from the malignant group, the benign group to the control group (P<0.05). For the malignant group, the levels of HE4 and ALDH1, and CD44 positive expression rate were higher in patients with clinical stage III-IV and lymph node metastasis than those with clinical stage I-II and without lymph node metastasis (P<0.05). Spesrman correlation analysis found that the levels of HE4 and ALDH1, and CD44 positive expression rate were positively correlated with clinical stage and lymph node metastasis in patients with ovarian carcinoma (P<0.05). ROC curve analysis results showed that the area under the curve (AUC) values of HE4, ALDH1, and CD44 in differential diagnosis of benign and malignant ovarian tumors were 0.837, 0.768, and 0.610, respectively. The AUC and sensitivity of combined diagnosis with the three indicators were higher than those of single diagnosis (P<0.05). The expression of HE4 and ALDH1 in serum and CD44 in tissues of patients with malignant ovarian tumors is high. The expression level is closely related to clinical stage and lymph node metastasis of ovarian carcinoma. The combination of HE4, ALDH1 and CD44 is of high value in the differential diagnosis of benign and malignant ovarian tumors. [ABSTRACT FROM AUTHOR]

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department 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 Educational Studies (1673-1298) is the property of Journal of Educational Studies 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 Anhui Agricultural Sciences is the property of Journal of Anhui Agricultural Sciences 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 Educational Studies (1673-1298) is the property of Journal of Educational Studies 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 Petroleum Refinery Engineering is the property of Petroleum Refinery Engineering 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 Rare Metal Materials & Engineering is the property of Northwest Institute for Nonferrous Metal Research 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 view of the problem of false alarm caused by the fall in the fall detection, this paper proposed a new kind of fall detection method which was based on time series analysis of abnormal data. The method analysed acceleration signal time series, then detected abnormal data by calculating the similarity between adjacent windows. Finally it classified different behaviors abnormal data by the classifier algorithm. The accuracy of falling detection is 95%, which is higher than general fall detection, at the same time, the false alarm rate is decreased by 5.3%. This method is good fall detection algorithm. [ABSTRACT FROM AUTHOR]

Copyright of Nankai Journal: Philosophy, Literature & Social Science Edition / Nankai Xuebao: Zhexue Shehui Kezue Ban is the property of Nankai Xuebao Bianjibu 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 Southwest China Journal of Agricultural Sciences is the property of Editorial Department of Southwest China Journal of Agricultural Sciences 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 Oil Drilling & Production Technology / Shiyou Zuancai Gongyi is the property of Shiyou Zuancai Gongyi Bianjibu 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.)