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Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering 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.)

Copyright of China Mechanical Engineering is the property of Editorial Board of China Mechanical 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.)

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.)

Copyright of Polymer Materials Science & Engineering is the property of Sichuan University, Polymer Research Institute 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 Nanchang University (Natural Science) is the property of Journal of Nanchang University (Natural Science) 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 Bearing is the property of Bearing 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 Beijing University of Traditional Chinese Medicine is the property of Journal of Beijing University of Traditional Chinese Medicine 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 Feed Research is the property of Editorial Board of Feed 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.)

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.)

Objective: To examine validity and reliability of the simplified version of the Community Assessment of Psychic Experiences（CAPE-P8） in college students. Methods: Totally 1451 college students completed the CAPE-P8. The 16-Item Version of the Prodromal Questionnaire（PQ-16） was used as criterion validity instruments. Two hundred and seventeen college students completed the CAPE-P8 retest in 7-14 days, and 90 college students completed telephone interviews within one month. Results: The CAPE-P8 had good internal consistency（α=0.82-0.84), retest reliability（α=0.80-0.83） and self-evaluation-interview consistency（α=0.64-0.78). The confirmatory factor analysis showed the good fit of the two-factor（delusional experiences and hallucinatory experiences） in CAPE-P8. The frequency scores of CAPE-P8 were strongly correlated with the distress scores（r=0.72-0.89,P <0.001), and there was a significant positive correlation between scores of CAPE-P8 and PQ-16（r=0.50-0.67, P <0.001). The prevalence of lifetime PLEs and current PLEs among college students were 83.5% and 58.6%, respectively, and the distress of lifetime PLEs and current PLEs were 15.9% and 9.9%, respectively. Conclusion: It indicates that the simplified version of the Community Assessment of Psychic Experiences has good validity and reliability and could effectively measure PLEs among college students. [ABSTRACT FROM AUTHOR]

Objective: To examine validity and reliability of the Chinese version of the 15-item Positive Subscale of the Community Assessment of Psychic Experiences ( CAPE-PI5) in high school students. Methods: A total of 2054 high school students completed the Chinese version of the CAPE-PI5. Besides, the 16-item version of the Prodromal Questionnaire (PQ-16) was conducted in 800 of them, and the retest of the CAPE-PI5 was conducted in 121 of them within two weeks (7 - 14 days). Results: The exploratory factor analysis showed the best fit of the three-factor (persecutory ideation, bizarre experiences and perceptual abnmmalities) model (X² = 257. 79, df = 63, TLI = 0. 973, CFI = 0. 955, SRMR = 0. 023, RMSEA = 0. 050), which was also confirmed through the confirmatory factor analysis (X²= 229. 58, df = 87, TLI = 0. 949, CFI = 0. 938, SRMR = 0. 038, RMSEA = 0. 045). The CAPE-P15 also showed strict measurement invariance across sex( ΔCFI < 0. 01, ΔTLI < 0. 01). The correlation between frequency and distress score was significant for total CAPE-P15 score and three factors ( r = 0. 88 - 0. 92, Ps < 0. 001) . The total CAPE-P15 frequency score were significantly positively correlated with the item score and distress score of the PQ-16 ( r = 0. 62, 0. 68, Ps < 0. 001) . Both the whole scale and three factors all showed acceptable internal consistency ( Cronbach α = 0. 73 - 0. 91), as well as satisfactory retest reliability ( ICC = 0. 71 - 0. 84). Conclusion: The Chinese version of the 15-item Positive Subscale of the Community Assessment of Psychic Experiences ( CAPE-P15) shows good validity and reliability in high school students, and could be used to assess psychotic-like experiences in high school students. [ABSTRACT FROM AUTHOR]

Crop diseases have posed a major threat to food production and the agricultural ecosystem worldwide. Automatic detection and classification of crop diseases are highly urgent to facilitate targeted and timely disease control in modern agriculture. The complex crop disease is ever-deepening the difficulty of feature extraction in traditional machine learning, where the human selection of features requires lots of experiments and experience. Alternatively, the convolutional neural network (CNN) can automatically extract relevant features from the input images, thereby imitating the human visual process. The learned features are also the key to the success of deep learning. However, the CNN identification model is difficult to deal with the complex planting structure in the actual production, if only a single species is identified. In this study, a feasible classification of crop disease was proposed using the improved deep residual network (SE-ResNeXt-101) and transfer learning (TL-SE-ResNeXt-101) for the detection task without specifying crop species. The dataset of crop disease was used from the AI Challenger 2018 competition, containing 27 types of diseases on 10 plant species: apple, cherry, corn, grape, citrus, peach, pepper, potato, strawberry, and tomato. In the reconstructed dataset, the "species-disease" approach was utilized to extract 33 categories of crop diseases with a total of 35 332 leaves images of different sizes. The training set, validation set, and test set were divided at the ratio of 8:1:1. In the test, the dataset was first preprocessed to uniformly transform the images of different sizes into 224×224×3, and then the image pixels were de-averaged and normalized to reduce the computational effort, in order to prevent the gradient explosion in the training of deep learning models for the convergence. Data enhancement techniques were used to increase the diversity of samples, including color enhancement, random angle, random crop, and horizontal random flip. The color enhancement was utilized to adjust the brightness, contrast, saturation, and chromaticity. The random angle was to rotate the image randomly between -15°and 15°. The random crop was to obtain a portion of the image arbitrarily between the scales of 0.1 to 1, and then convert it to 224×224 image size. The horizontal random flip was to randomly flip the image into a mirror image. The randomization probability of all data enhancement was 50%. The proposed model was compared with the VGG-16, GoogLeNet, ResNet-50, and DenseNet-121 models under the same experimental conditions. The experimental results show that the transfer learning significantly improved the convergence speed and classification performance of the model, thereby training a better model in a shorter period. Data enhancement techniques reduced the dependence of the model on certain attributes without overfitting for better performance and generalization. The average accuracy and weighted F1 value reached 98% in the TL-SE-ResNeXt-101 model, better than other models. The TL-SE-ResNeXt-101 model also had an excellent classification effect on the image samples in real agricultural production. The average accuracy of the TL-SE-ResNext-101 model reached 47.37% on the PlantDoc test set, indicating strong robustness to serve as a promising technology for crop disease identification. [ABSTRACT FROM AUTHOR]

Copyright of China Mechanical Engineering is the property of Editorial Board of China Mechanical 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.)

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 Journal of Henan University of Science & Technology, Natural Science is the property of Editorial Office of Journal of Henan University of 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 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 Coal Science & Technology (0253-2336) is the property of Coal 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.)

According to the characteristics of double-wishbone suspension with torsion bar, establish a simulation model of a car independent suspension was established by multi-body dynamics theory. According to the formal structure of torsion bar spring, loads of key points at three typical load conditions in ADAMS/ Car were drawn and turned into torsion as the loading condition for statics analysis; statics analysis of the torsion bar was taken in typical conditions with ANSYS. The structure of hollow rod was designed; Three best programs were gotten by taking single objective global optimization on toms torsion spring bar which based on the response surface method. Comparison of the results after optimization and original showed: the mechanical properties of torsion bar improved significantly after optimization, the maximum equivalent stress decreased by 24%，the total deformation decreased by 31%，and the quality of torsion bar decreased by 11%. [ABSTRACT FROM AUTHOR]

Copyright of Coal Science & Technology (0253-2336) is the property of Coal 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 Journal of Southern Agriculture is the property of Journal of Southern Agriculture 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 Shandong Medical Journal is the property of Shandong Medical Health Newspapers 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.)

Hypersonic flow over a compression corner with ablation of heat shield made of graphite is numerically simulated through solving the Navier-Stokes equations of thermochemical nonequilibrium flow coupled with the ablating boundary condition, and the effects of the wall conditions on the flowfield properties are investigated. Sixteen chemical species (N2, O2, NO, N, O, NO+, N2+ ,O+, N+ ,CO, CO2, C, C2, C3 ,CN, e--)29 are considered, the two-temperature model is taken to describe thermal nonequilibrium. The oxidation and sublimation of C, as well as the recombination of O catalyzed by C are considered at the wall surface. The hypersonic flow over 15°, 18°, 24° compression corners are calculated with Mach number varied from 10 to 30 and total enthalpy from 6 to 55 MJ/kg. Both ablating and non-ablating surface condition are used to investigate the effects of ablation. The flow structure, the characteristics of shock--boundarylayer interaction, the separation properties, and the distribution of the thermochemical properties are analyzed. The results show that the possibility of flow separation and the separation range become larger as the corner angle increases, while smaller as the free stream Mach number rises. Compared with the cases with low-temperature wall, the flow separation zones are lager with ablating wall or with high-temperature wall in radiation equilibrium, and this leads to the positions for peak values of pressure, skin friction and heat flux move downstream. [ABSTRACT FROM AUTHOR]