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| 1 | Diverse modes of clonal evolution in HBV-related hepatocellular carcinoma revealed by single-cell genome sequencing显示文摘Hepatocellular 癌(HCC ) 是癌症实质词法,基因并且 phenotypic 差异。然而,我们不理解在 intratumor 异质和肿瘤的联系词法 / 组织学的特征之间的关系。用介绍 96 个肿瘤房间(30-36 各个) 和 15 个正常的肝房间(5 各个) 的单个房间的整个染色体的定序,与联系 HBV 的 HCC 从三个男病人收集了,我们证实拷贝数字变化在 hepatocarcinogenesis 早发生,但是此后在整个肿瘤仍然保持相对稳定前进。重要地,我们证明特定的 HCC 能具有 monoclonal 或 polyclonal 起源。有汇合的 multinodular 形态学的肿瘤是典型 polyclonal 肿瘤并且显示最高的 intratumor 异质。除了 mutational 和拷贝数字侧面,我们把了用导出 HBV 的外国 genomic 标记的 HCC 的同种细胞的起源。在 monoclonal HCC,所有肿瘤单身者房间展出一样的 HBV 集成,显示 HBV 集成是一个早司机事件并且在肿瘤前进期间仍然保持极其稳定。另外,我们的结果显示那两个都转移,迟了的传播并且早播种当模特儿,在 HCC 有一个角色前进。尤其是,开始的克隆传播的早 intrahepatic 导致同步 multifocal 肿瘤的形成。同时,我们在 HCC 识别了潜在的司机基因 ZNF717,它展出变化的高频率在单个房间并且人口铺平,,通过调整 IL-6/STAT3 小径行动的肿瘤 suppressor。这些调查结果热点多重不同肿瘤在 HCC 的进化机制,它为特定的处理策略建议需要。 | Meng Duan, Shu Zhang, Zhichao Wang, Jieyi Shi, Longzi Liu, Xiaoying Wang, Aiwu Ke, Jian Zhou, Jia Fan, Qiang Gao Junfeng Hao, Chong Li Sijia Cui Daniel L Worthley Ya Cao Ruibin Xi Xiaoming Zhang Jian Zhou, Jia Fan Qiang Gao | 2018 | Cell Research2018，28，3： | 21 |
| 2 | Studyon Design Criteria and Methods for the Valve Train of theCompressed-air Engine显示文摘 | ZHANG Zhao JIA Ruibin YU Qihui CAI Maolin | 2012 | Applied Mechanics and Materi-als2012，，278： | 1 |
| 3 | Automatic lameness detection in dairy cows based on machine vision显示文摘This study proposed a method for detecting lameness in dairy cows based on machine vision,addressing the challenges associated with manual detection.Data from a dairy farm in Taigu,Shanxi,China were collected and divided into two parts.The first part was utilized to precisely position the cow’s back by employing a dedicated deep learning model named GhostNet_YOLOv4,which can be implemented on mobile or embedded devices.The second part was used with the Visual Background Extractor(Vibe)algorithm,incorporating additional morphological processing techniques.Enhancing the Vibe algorithm,a widely used background subtraction algorithm for image sequences,achieved more accurate recognition of the specific pixel areas of cows.Subsequently,cow shape-related feature parameters were extracted from the back area using the combined approach.These parameters were used to calculate the average curvature,which describes the degree of curvature of the cow’s back contour during walking.The differences in curvature values were employed for classification to detect lameness.Through extensive experimentation,distinct average curvature ranges of[−0.025,−0.125],[−0.025,+∞],and[−∞,−0.125]were established for normal cows,early lameness,and moderate-severe lameness,respectively.The algorithm’s effectiveness was validated by processing 600 image sequences of dairy cows,resulting in a lameness detection accuracy of 91.67%.These findings can serve as a reference for the timely and accurate recognition of lameness in dairy cows. | Zongwei Jia Xuhui Yang Zhi Wang Ruirui Yu Ruibin Wang | 2023 | International Journal of Agricultural and Biological Engineering2023，16，3： | 0 |
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