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Copyright of China Pulp & Paper is the property of China Pulp & Paper Magazines Publisher 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 Silk is the property of Zhejiang Sci-Tech University Magazines 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 Rehabilitation Medicine is the property of China Association of Rehabilitation Medicine, China-Japan Friendship Hospital 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 Clinical Neurosurgery / Linchuang Shenjingwaike Zazhi is the property of Editorial Board of Journal of Clinical Neurosurgery 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 the factors influencing the gradient index（GI） of radiosurgical planning for vestibular schwannoma（VS）. Methods The treatment plans of all VS patients in Department of Neurosurgery, Shanghai Gamma Hospital from January 2020 to September 2021 were collected. There were two main categories based on whether the influence of factors on the GI was determined by the inherent characteristics of the patient or by the treatment plan. The relationship between the above factors and the GI was statistically analyzed and studied. Results A total of 309 patients were included in the study. Among the factors determined by the inherent characteristics of patients, the correlation between the maximum tumor diameter, tumor volume and GI was statistically significant. While the univariate analysis of the factors determined by the treatment plan found that the correlation between each planning parameter and the GI was statistically significant. Multivariate analysis combining inherent and treatment plan factors found statistically significant associations between maximum lesion diameter, previous surgical history, and coverage index. Conclusions The GI in the treatment plan of VS is affected by both the inherent factors of the patient and the treatment plan. The size of the lesion and the history of previous surgery may have the main influence on the GI. [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 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 Modern Food Science & Technology is the property of Editorial Office of Modern Food 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 Modern Food Science & Technology is the property of Editorial Office of Modern Food 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.)

With the continuous increase of people' s requirements for the fit and comfort of clothing, the research on human shape characteristics and classification has become the focus of research in the field of clothing. The study of the shape characteristics of the breast is an important part of the research on human body shape and morphology of clothing field. The shape characteristics of female breasts have a significant impact on tops' fit. Therefore, it is of great significance to carry out research on the shape characteristics of female breasts in different regions and different age groups. In the existing research. there arc few studies on the breast shape of young females in Northeast China. Therefore, this paper takes young females in Northeast China as the research object to study and analyze the characteristics and classification of their breasts. In the research of clothing fit, the shape characteristics of the breasts under the state of wearing a bra are an important basis for coniaructing fit clothing and ready-to-wear design. In this paper. 328 young females aged 18 - 25 years old in Northeast China were randomly selected, and anthropometric measurements were performed using the VITUS 3D body scanner. Referring to GB/T 16160 - 2017 • Anthropometric Definitions and Methods for Garment'. 17 characteristic variables such as chest circumference, lower chestcircumference and chest width were extracted. And 311 valid experimental samples were finally determined through the data outlier test. Using principal component analysis. we obtained five principal component factors. namely: girth factor, distance factor, height factor, chest circumference difference factor and shape factor. Using the principal component factors as the classification indexes, four types of chest shape were obtained through K-means cluster analysis. Among them, females of the first type have a relatively uniform body shape and a flat chest shape. Females of the second type are thin, with plump. straight and gathered breasts. Females of the third type are slightly fat. with plump. gathered, and slightly sagging breasts. Women of the fourth type are relatively symmetrical in shape. and their breasts are plump. slightly expanded. and sagging. The proportions of the experimental samples of the four types of breast shapes were 21. 9%. 32. Ili. 26. 7%. and 19. 3%. respectively. According to the principal component factor analysis and the shape characteristics of human breasts. bust circumference and breast distance were selected as the independent variables. The stepwise regression method was used to commie' the regression models of various breast shape characteristic variables. The validity of the chest characteristic regression equations was verified by variance analysis and residual analysis. The verification results show that the chest regression models of each body type are ideal. The study found that among the five principal component factors, the girth factor and the distance factor have a greater impact on the shape of du chest. Through descriptive statistical analysis and comparison of 3D models, it is proved that the shape characteristics of the four chest types in the cluster are obvious. The for types of chest shape regression models established by stepwise regression analysis have obvious differences in structure. which further illustrates the difference between human body shape categories and breast shape. This paper studies the breast shape classification and regression modeling of young females in Northeast China under the cc edition of their wearing a bra. It provides reference for the research on breast shape and clothing fit of young females in this area. Due to the limited sample sin of the experiment. the accuracy of the chest shape classification and regression model in this study needs to be improved. and the results of the study still have certain limitations. The shape characteristics of the breasts of women wearing bras are the basis for the research on the structure and fit of the tops. Based on the research on chest shape. a parametric 3D model of the chest and human body and a digital avatar can be constructed in the future. At the same time, relevant research such as clothing fit structure design, clothing virtual design. and virtual fitting can be carried out. [ABSTRACT FROM AUTHOR]

Copyright of Mining & Metallurgy (10057854) is the property of Beijing Research Institute of Mining & Metallurgy Technology Group 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 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 Modern Food Science & Technology is the property of Editorial Office of Modern Food 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 Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control 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 probe into the comparative analysis on effectiveness of Zaoren Anshen capsules and Wuling capsules in the treatment of elderly patients with insomnia, anxiety and depression. METHODS: Totally 218 patients with insomnia, anxiety and depression admitted into Liuzhou Red Cross Hospital from Jul. 2018 to Jul. 2020 were extracted to be divided into the Zaoren Anshen group and Wuling group via the random number table, with 109 cases in each group. The Zaoren Anshen group was treated with Zaoren Anshen capsules combined with Alprazolam tablets, while the Wuling group received Wuling capsules combined with Alprazolam tablets, both groups were treated for 28 d. Clinical efficacy, sleep duration and time to fall asleep, Pittsburgh sleep quality index (PSQI) self-rating anxiety scale (SAS) self-rating depression scale (SDS） and the Medical Outcomes Study item short from health survey (SF-36） score, serum substance P (SP） and neuropeptide Y (NPY） levels and the occurrence of adverse drug reactions of two groups were compared. RESULTS: The total effective rate of Zaoren Anshen group was 88. 99% (97/109) significantly higher than that of Wuling group 77. 98% (85/109) the difference was statistically significant (P < 0. 05）. After treatment, the decrease of PSQI, SAS, SDS scores, SP levels and time to fall asleep was significantly greater than that in Wuling group; the increase of sleep duration, SF-36 scores and NPY levels was significantly greater than that in Wuling group, with statistically significant differences (P < 0. 05）. The incidence of adverse drug reactions in the Zaoren Anshen group was 6. 42% (7/109) significantly lower than 14. 68% (16/109）in the Wuling group, the difference was statistically significant (P < 0. 05) . CONCLUSIONS: Compared with Wuling capsules, Zaoren Anshen capsules is more effective and safer in the treatment of elderly patients with insomnia, anxiety and depression. [ABSTRACT FROM AUTHOR]

Copyright of Public Art is the property of Shanghai Fine Arts Publisher Ltd. co. 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.)

The winter crop has been one of the important crop types in China. Accurate and timely spatio-temporal distribution of planting area directly determines the grain output and economy, as well as the national food security. Taking the Huaihe River Basin as an example, this study aims to extract the planting areas of winter crops according to the phenology period using the Google Earth Engine cloud platform and the fusion of Landsat-7/8 and Sentinel-2A/B images. Firstly, a dataset of time-series images was constructed with a spatial resolution of 30m. A CFMask algorithm was selected to preprocess the images, thereby calculating the Normalized Difference Vegetation Index (NDVI). More importantly, the maximum NDVI of all high-quality images within 10 days was used to obtain time-series data with equal time intervals. The linear interpolation was utilized to fill the pixels without high-quality images. Savitzky-Golay (S-G) filtering (a second-order filter with a moving window of 9 observations) was adopted to smooth the NDVI time series for the removal of noise. As such, a smoothed NDVI time series was obtained with a 10-day interval. Secondly, the peak growth, sowing, and harvest periods were determined to select sample points of winter crops with different spatial distributions, according to the NDVI time series. Subsequently, the winter crops were sowed in mid-late October, when the NDVI values were the lowest. The NDVI values gradually increased, after the emergence of seedlings in early November. The crops stopped growing in January during the overwintering period, where the NDVI stayed the same over the whole period. Furthermore, the NDVI resumed growing and gradually reached the peak growth period, when the winter crops turned green in February. After that, the NDVI reached the peak at the heading stage, and then gradually decreased. Correspondingly, the NDVI dropped to the bottom, when the harvest was over from the end of May to June. According to these characteristics in the process of winter crops growth, the peak growth period was determined from March 20, 2018, to April 20, 2018, the sowing period was determined from October 11, 2017, to November 10, 2018, and the harvest period was determined from May 20, 2018, to June 30, 2018. Particularly, the maximum NDVI was achieved in the peak growth period and the minimum and median of NDVI in the sowing and harvest period. Finally, the classification model of a decision tree was constructed, according to the NDVI boxplots of winter crops and non-winter crops at different time periods. The planting area map of winter crops was also generated for the Huaihe River Basin. The results showed that the planting area of winter crops was 8.762×106 hm² in the Huaihe River Basin in 2018. Specifically, the user accuracy was 0.926, the producer accuracy was 0.970, the total accuracy was 0.958, and the Kappa coefficient was 0.912. Consequently, the large-scale planting area of winter crops was extracted accurately for the decision-making in similar areas. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Preventive Veterinary Medicine / Zhongguo Yufang Shouyi Xuebao is the property of Chinese Journal of Preventive Veterinary Medicine 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 Modern Food Science & Technology is the property of Editorial Office of Modern Food 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 Modern Food Science & Technology is the property of Editorial Office of Modern Food 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 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 Public Art is the property of Shanghai Fine Arts Publisher Ltd. co. 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 Clinical Neurosurgery / Linchuang Shenjingwaike Zazhi is the property of Editorial Board of Journal of Clinical Neurosurgery 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 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 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 Public Art is the property of Shanghai Fine Arts Publisher Ltd. co. 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 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 China Textile Leader is the property of China Textile Information Center 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 China Sciencepaper is the property of China Sciencepaper 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 Clinical Neurosurgery / Linchuang Shenjingwaike Zazhi is the property of Editorial Board of Journal of Clinical Neurosurgery 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 China Textile Leader is the property of China Textile Information Center 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 China Textile Leader is the property of China Textile Information Center 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.)