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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 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.)

Copyright of Journal of Shanghai Physical Education Institute / Shanghai Tiyu Xueyuan Xuebao is the property of Shanghai Physical Education 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 Shanghai Physical Education Institute / Shanghai Tiyu Xueyuan Xuebao is the property of Shanghai Physical Education 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 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.)

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.)

【Objective】The present paper aimed to evaluate the epidemic status of common pathogens large-scale pig farms in Sichuan.【Method】In this study, 283 samples(pathological tissues, boar semen, miscarriage and stillbirth) were collected and detected by bacterial isolation and identification, RT-PCR, PCR. 【Result】The positive rates of CSFV, PRRSV, PRRSV NADC30-Like, PCV2, PRV, APP, PM and SS2 in the pathological tissues samples of 106 pigs were 7.55 %(8/106),40.57 %(43/106), 20.75 %(22/106),34.91 %(37/106),16.04 %(17/106),9.43 %(10/106),19.81 %(21/106) and 4.72 %(5/106), respectively. Among the percentage of multiply infections was 60.49 %(49/81). The pathogens infection of PRRSV or PCV2 not only emerges in throughout the year but also occurs frequently with other pathogens infection and bacterial infection are most common in summer. The positive rates of CSFV, PRRSV, PCV2 and PRV in 68 boar semen samples were 10.29 %(7/68), 30.88 %(21/68), 20.59 %(14/68) and 20.59 %(14/68), respectively. Among the 38 positive samples, the percentage of single infections was 52.63 %(20/38). The positive rates of CSFV, PRRSV, PCV2 and PRV in 63 miscarriage and stillbirth samples were 6.35 %(4/63),46.03 %(29/63),38.10 %(24/63) and 30.16 %(19/63), respectively. The most common infection type was PRRSV with other pathogens infection and PRRSV was more common in throughout the year and the percentage of multiply infections was 74.50 %(38/51). The infections of PEDV and PoRV are common in spring, autumn and winter. The positive rate of PEDV and PORV were 56.52 %(26/46) and 26.09 %(12/46) in intestinal mucosa and feces of 46 diarrhea pig samples.【Conclusion】The Prevention and control of PRRSV, PCV2, PRV and PEDV were still key point in the future, meanwhile, the multiple pathogen infection and new variants PRRSV NADC30-Like is also difficult to prevent from large-scale pig farms in Sichuan area. [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.)

Based on the OpenWRT system, a WiFi probe experiment device is designed, it can capture the data packets in the vicinity to parse the MAC address and other useful data of the mobile device, and package the data and send them to the platform for test verification. The hardware is based on the MT7620 A wireless routing module, and the software part implements the WiFi probe function by parsing the 802. 11 frame on the OpenWRT system. The test results show that the probe can continuously capture data frames and parse the MAC address report, and works well. The experimental device organically combines the two courses of embedded system and computer network opened currently in the universities, and fully expands the functions of the existing experimental equipment in the laboratories, and enriches the types of existing experiments. At the same time, considering the WiFi MAC address of the smartphone as the personal identification data plays an important role in the security application, and is beneficial to cultivate students. [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.)

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.)

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 realize fast and effective automatic detection of fabric defects, a combined algorithm for detection of fabric defects based on local phase quantization and mixed kernel SVM classifier is presented.Firstly,the LPQ operator is used to extract histogram sequence of LPQ for fabric defect image, and then the mixed kernel function SVM is used for classification. This method combines the advantages of the two algorithms. It can extract the fabric defect image texture information, and have better generalization ability. The dimension of LPQH is irrelevant to the size of original image.The flow position detected by the algorithm is identical to the subjective vision.The algorithm can detect the flaw position consistent with the subjective vision. Compared to the classical algorithm, the algorithm based on LPQ is improved at detection rate. [ABSTRACT FROM AUTHOR]