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Lumbar spondylolisthesis with scoliosis is defined as children with lumbar spondylolisthesis plus scoliosis with a Cobb angle of > 10°. It is rarer in children than adults and pediatric lumbar spondylolisthesis with scoliosis is rather uncommon. A proper selection of its diagnosis, classifications and treatments remains challenging for pediatric spinal surgeons. This review of the relevant literatures summarized the experiences of epidemic, diagnosis, classification and treatment. [ABSTRACT FROM AUTHOR]

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural 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.)

Zirconia aerogels were prepared by sol-gel method and supercritical ethanol drying using zirconium butoxide as zirconium source, and Zr-Al and Zr-Si composite aerogels were prepared by doping aluminum sec-butanol and dimethyldiethoxy silane. FESEM, XRD, FT-TR, specific surface area and pore structure analyzer were used to characterize the morphology, size and structure of the aerogels. The results showed that the density of aerogel decreased from ().393 g/cm1' to ().1 47 g/cm1', the specific surface area of aerogel increased from 1 78/g to 394 m2/g, and the temperature resistance also improved significantly. FESEM photos showed that the morphology of aerogel doped with Al and Si changed little after heat treatment. After heat treatment at 900C for 4h, the specific surface area of Zr-Si composite aerogel was still 1 68 mJ/g, and there was no phase transition of Zr()2. After doping aluminum and silicon elements, zirconia aerogel can effectively inhibit the phase transformation of zirconia and improve its temperature resistance. [ABSTRACT FROM AUTHOR]

Copyright of Pearl River is the property of Pearl River 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 Chinese Medical Equipment Journal is the property of Chinese Medical Equipment Journal 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 Xinyang Normal University Natural Science Edition is the property of Journal of Xinyang Normal University 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 Nuclear Safety is the property of Nuclear & Radiation Safety 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 Journal of Technology Economics is the property of Chinese Society of Technology Economics 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 Medical Equipment Journal is the property of Chinese Medical Equipment Journal 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 South China Agricultural University is the property of Gai Kan Bian Wei Hui 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 Tunnel Construction / Suidao Jianshe (Zhong-Yingwen Ban) is the property of Tunnel Construction 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.)

The radial electromagnetic force of the pulse vibration acts as an excitation source on the stator tooth surface of a 12/8-pole single-winding bearingless switched reluctance motor wider with rotor tooth (BSRMWR) and transmits it to the stator yoke and the stator yoke, which causes a large vibration and noise and hinders its popularization and application. In view of this problem, this paper optimizes and improves the motor housing from the perspective of the body structure. Using the three-dimensional multiphysics finite element model, the electromagnetic-structure-vibration-sound field coupling model of BSRMWR is established. The radial electromagnetic force is obtained by transient analysis of the BSRMWR electromagnetic field. The modal strain energy method is applied to the shell of BSRMWR, and the motor shell structure has a large strain energy, which shows that the motor shell structure is weak. Based on this, the casing structure of the motor is optimized by the method of morphology optimization. The results show that the vibration and noise of the BSRMWR with the chassis structure optimized by the topography are significantly improved. [ABSTRACT FROM AUTHOR]

To investigate the expression of microRNA (miR)-1290 and mir-1307 in plasma exosomes of patients with ovarian cancer, and to analyze their relationship with clinicopathological parameters and diagnostic value. 60 patients with ovarian cancer who were diagnosed and treated in Jingjiang People's Hospital from January 2019 to January 2021 were selected as the ovarian cancer group, 50 female health examiners during the same period as the healthy control group and 52 patients with benign ovarian tumors as the benign tumor group. Real-time quantitative PCR (qRT-PCR) was used to detect the expression of miR-1290 and miR-1307 in plasma exosomes of each group. The relationship between miR-1290, miR-1307 and clinicopathological characteristics of patients with ovarian cancer were analyzed. The receiver operating characteristic curve(ROC)was used to analyze the diagnostic efficacy of plasma exosomes miR-1290 and miR-1307 for ovarian cancer. Compared with benign ovarian tumor group and healthy control group, the expression of plasma exosomes miR-1290 and miR-1307 in ovarian cancer group were higher (P＜0.05). The expression of miR-1290 in the ovarian cancer group was related to the FIGO stage, degree of differentiation and lymph node metastasis, and the level of miR-1307 was related to the FIGO stage and lymph node metastasis (P＜0.05). There was a significant positive correlation between the expression of plasma exosomes miR-1307 and miR-1290 of patients with ovarian cancer (r＝0.478, P＜0.05). The area under curve (AUC) (0.95CI) of plasma exosomes miR-1290, miR-1307 and combined application in the diagnosis of ovarian cancer were 0.726 (0.526 ~ 0.926), 0.724 (0.466 ~ 0.987) and 0.845 (0.750 ~ 0.933), respectively. The diagnostic efficiency of combined application was higher than that of single application. The expression levels of plasma exosomes miR-1290 and miR-1307 in patients with ovarian cancer are increased. The combined detection of miR-1290 and miR-1307 has high value in the early diagnosis of ovarian cancer, and is expected to become a new molecular marker of ovarian cancer. [ABSTRACT FROM AUTHOR]

Copyright of Bulletin of the Chinese Ceramic Society is the property of Bulletin of the Chinese Ceramic Society 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 Journal of Nanjing Agricultural University / Nanjuing Nongye Daxue Xuebao is the property of Journal of Nanjing Agricultural University 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 Nanjing Agricultural University / Nanjuing Nongye Daxue Xuebao is the property of Journal of Nanjing Agricultural University 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 Osteoporosis is the property of Chinese Journal of Osteoporosis 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 Art Panorama is the property of Art Panorama 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 Nanjing Agricultural University / Nanjuing Nongye Daxue Xuebao is the property of Journal of Nanjing Agricultural University 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 Engineering Management & Technology Discussion is the property of Omniscient Pte. Ltd. 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.)

Crop pests and diseases are emerging threats to global food security in recent years. Manual diagnosis has also been a serious constraint to recognizing the crop diseases in modern agriculture. The latest Convolutional Neural Network (CNN) models have opened up a new way to control diseases with the development of deep learning. However, a complex real environment in the field has posed a great challenge on the general model for disease recognition, due to the single background of the leaf disease images taken in the laboratory. In this study, an improved MobileNet-V2 was proposed to recognize the diseases of crop leaves in the fields, thereby optimizing the parameters for higher accuracy under the complex background. The specific procedures were as followed. Firstly, an image dataset was collected in the field for the disease classification, including 11 kinds of diseased leaves and 4 kinds of healthy leaves of four crops. A series of enhancement operations were then performed on the disease images, including random brightness, and noise. Secondly, a coordinate attention mechanism was added in the 3-18 layers of the basic MobileNet-V2 model. The Region of Interest (ROI) was effectively positioned to concentrate on the disease regions in the pixel coordinate system, thereby to better identify the background and foreground information of the targets. Since the areas of disease spots were different, it was easy to miss some details of the diseases only when using the high-level features. Thus, a feature pyramid module was added to the model using a multi-scale feature fusion. As such, the low-level features were combined with the high-level features, providing for more targets information and better recognition. The specific sampling was operated from the 7×7 to 14×14 feature map, where the same size was fused. Finally, the unnecessary classification layer was removed to optimize the parameter memory of the improved model, where the operation of group convolution was adopted. Compared with the original, the classification accuracy of the improved model was enhanced by 2.91 percentage points, with a little increase in the parameter memory, indicating superior performance. The times of up-sampling were significantly reduced to deal with the feature overlap, where all aspects of indicators were improved than before. Additionally, the improved model was used to better distinguish the similar target features and different lesion areas in detail. In contrast, the recognition accuracy was 0.65 percentage points higher than the EfficientNet-b0a CNN model, indicating a fewer half number of parameters. The improved model also presented much fewer parameters suitable for the mobile terminal, compared with the classical ResNet-50 CNN architecture. Consequently, the improved model can be widely expected to better identify the crop leaf diseases under a complex background, indicating more stable convergence with less parameter memory. This finding can provide strong theoretical support to reliably transplant the new CNN model into the mobile terminal for the disease classification. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. 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.)