《唐物语》对朱买臣故事的摄取与创新

《唐物语》第十九段对《汉书·朱买臣传》中朱买臣故事进行改编，因受众群体、文化差异、民族向性的不同，在改编过程中必然产生对母国文化信息的过滤与人物形象变异。以朱买臣故事东渐日本为线索，运用比较文学流传学与变异学，探究该文学作品对朱买臣故事的摄取与创新、朱买臣故事日本化的实现条件等，以期增进文学文化交流中的互读互解，避免因文学流变中信息过滤增删、形象失落变形而产生的民族心理与意识形态的误读。     

基于卷积神经网络马铃薯叶片病害识别和病斑检测*

针对自然环境下马铃薯叶片病害识别率低和晚疫病斑定位难的问题,基于大田环境中采集的马铃薯叶片图像,首先对马铃薯叶片病害进行识别,对比AlexNet、VGG16、InceptionV3、ResNet50、MobileNet五种神经网络模型,结果表明InceptionV3模型的识别效果准确率最高,可达98.00%。其次对马铃薯叶片的晚疫病斑进行检测,提出一种改进型的CenterNet-SPP模型,该模型通过特征提取网络获取对象的中心点,再通过中心点回归获得中心点偏移量、目标大小等图像信息,训练后的模型在验证集下的mAP可达90.03%,以F₁为评价值分析对比其它目标检测模型,CenterNet-SPP模型的效果最好,准确率为94.93%,召回率为90.34%,F₁值为92.58%,平均检测一张图像耗时0.10 s。为自然环境下马铃薯叶片病害识别和检测提供较为全面的深度学习算法和模型研究基础。     

过表达MyBPC1对牛骨骼肌卫星细胞增殖分化的影响

旨在探究肌球蛋白结合蛋白C1（myosin binding protein C1,MyBPC1）对牛骨骼肌卫星细胞增殖与成肌分化的影响,为进一步研究MyBPC1在细胞分化和肌肉发育过程中的调控作用提供依据。本研究利用西门塔尔胎牛原代牛骨骼肌卫星细胞体外诱导成肌分化模型模拟牛骨骼肌的生长发育过程。采用qRT-PCR和Western blot检测MyBPC1的细胞时序表达谱。试验分为两组。在RNA水平每组4个重复,每个重复20 μL;在蛋白水平每组3个重复,每个重复15 μg。采用qRT-PCR和Western blot检测牛骨骼肌卫星细胞转染MyBPC1的过表达效果,并进一步检测细胞增殖期标志因子Pax7、Ki67以及细胞分化期标志因子MyHC、MyOG的表达变化情况,观察牛骨骼肌卫星细胞肌管形成状态。结果,MyBPC1在牛骨骼肌卫星细胞分化前后表达水平存在极显著差异,牛骨骼肌卫星细胞诱导分化后MyBPC1的mRNA和蛋白表达量均极显著高于增殖期（P<0.01）。过表达MyBPC1后,细胞分化形成的肌管数量明显多于对照组,增殖标志因子Pax7的mRNA水平和蛋白表达水平无显著差异,分化标志因子MyHC的mRNA水平和蛋白表达水平极显著高于对照组（P<0.01）。过表达MyBPC1可以促进牛骨骼肌卫星细胞体外成肌分化,为进一步开展MyBPC1对牛骨骼肌卫星细胞的调控机制奠定基础。     

1990—2019年阿拉尔垦区植被覆盖时空变化特征分析

监测植被覆盖变化对区域生态环境评价和可持续发展具有重要意义。本文基于Landsat遥感影像和相关统计数据,运用像元二分模型和重心转移模型等方法分析阿拉尔垦区1990—2019年近30年的植被覆盖时空变化特征。结果表明：1990—2019年,阿拉尔垦区平均植被覆盖面积呈增加趋势,高和极高植被覆盖区的面积呈增加趋势,差异显著,分别增加了674 km²和1 147 km²;阿拉尔垦区植被覆盖变化存在时段性和区域性差异,时段上,2005—2010年垦区西北部开始出现植被,以中覆盖类型为主,区域上,垦区西北部植被覆盖的增加趋势最显著;近30年,垦区植被覆盖重心整体向东北方向转移;气候对阿拉尔垦区植被覆盖变化有一定的影响,但人类活动影响最直接。在未来发展中应注重保护自然植被,有计划地开垦土地,合理调整垦区农业结构,科学分配水权,保证垦区生态用水,实现可持续发展。     

Suppression of MyoD induces spontaneous adipogenesis in skeletal muscle progenitor cell culture

The degree of intramuscular adipose tissue accumulation is one of the factors affecting meat quality. Accumulation of adipocytes is also observed under the pathological condition of skeletal muscle such as muscular dystrophy and sarcopenia. The origin of adipocytes seen in skeletal muscle is mesenchymal progenitor cells that can give rise to both adipocytes and fibroblasts. In the present study, we demonstrated that siRNA-mediated suppression of MyoD expression in rat skeletal muscle progenitor cell culture, which comprises both myogenic satellite cells and mesenchymal progenitor cells, resulted in diminished myotube formation and an unexpected spontaneous appearance of white adipocytes. Suppressing myomaker expression also resulted in complete absence of myotube formation without reducing MyoD expression, but no adipogenesis was seen in this scenario, indicating that decline in MyoD expression rather than decreased myotube formation is necessary to induce adipogenesis. In addition, spontaneous adipogenesis induced by suppressing MyoD expression in culture was inhibited by the conditioned medium from control culture, indicating that anti-adipogenic factor(s) are secreted from MyoD-positive myogenic cells. These results indicate the presence of regulatory mechanism on adipogenesis by myogenic cells.     

MSTN基因对牛肌动蛋白细胞骨架调节通路的影响

为探究肌肉生长抑制素（myostatin,MSTN）对牛骨骼肌生长发育的作用机制,本研究前期利用定量蛋白质组学与磷酸化蛋白质组学分析野生型蒙古牛（MG.WT）和MSTN^+/-蒙古牛（MG.MSTN^+/-）腿臀肌肌肉组织中蛋白质水平和磷酸化修饰水平的差异变化,使用已建立的牛骨骼肌卫星细胞体外诱导成肌分化模型,检测设计合成的MSTN siRNA （si-MSTN）干扰效果;采用实时荧光定量PCR和Western blotting方法检测转染si-MSTN的增殖期（GM）和分化第3天（DM3）牛骨骼肌卫星细胞中肌动蛋白细胞骨架调节通路相关基因的mRNA和蛋白水平的表达变化,研究敲低MSTN表达对肌动蛋白细胞骨架调节通路的影响。结果显示,在MSTN^+/-蒙古牛肌肉组织中共鉴定到16个肌动蛋白细胞骨架调节通路相关基因表达丰度上调;转染si-MSTN细胞中的MSTN表达水平极显著降低（P<0.01）;在转染si-MSTN的GM期牛骨骼肌卫星细胞中,肌动蛋白细胞骨架调节通路相关基因ENAH、ACTN4和Cdc42的mRNA水平均显著升高（P<0.05）,PFN1、RhoA和ACTN4的蛋白水平均显著或极显著升高（P<0.05;P<0.01）;在转染si-MSTN的DM3牛骨骼肌卫星细胞中,ENAH、CFL1、SCIN和Cdc42基因mRNA水平均显著升高（P<0.05）,RhoA基因mRNA水平极显著升高（P<0.01）,PFN1和ACTN4的蛋白水平均显著升高（P<0.05）。结果表明,干扰MSTN可以促进肌动蛋白细胞骨架调节通路相关基因的表达,探明了MSTN可能通过介导肌动蛋白细胞骨架调节通路影响牛骨骼肌卫星细胞增殖和成肌分化的分子机制,为进一步研究MSTN对牛成肌分化的调控机制提供参考。     

Object‐Based Mapping of Karst Rocky Desertification using a Support Vector Machine

Accurate and cost‐effective mapping of karst rocky desertification (KRD) is still a challenge at the regional and national scale. Visual interpretation has been utilised in the majority of studies, while an automated method based on pixel data has been investigated repeatedly. An object‐based method coupling with support vector machine (SVM) was developed and tested using Enhanced Thematic Mapper Plus (ETM+) images from three selected counties (Liujiang, Changshun and Zhenyuan) with different karst landscapes in SW China. The method supports a strategy of defining a mapping unit. It combined ETM+ images and ancillary data including elevation, slope and Normalized Difference Vegetation Index images. A sequence of scale parameters estimation, image segmentation, training data sampling, SVM parameters tuning and object classification was performed to achieve the mapping. A quantitative and semi‐automated approach was used to estimate scale parameters for segmenting an object at an optimal scale. We calculated the sum of area‐weighted standard deviation (WS), rate of change for WS, local variance (LV) and rate of change for LV at each scale level, and the threshold of the aforementioned index that indicated the optimal segment level and merge level. The KRD classification results had overall accuracies of 85·50, 84·00 and 84·86 per cent for Liujiang, Changshun and Zhenyuan, respectively, and kappa coefficients are up to 0·8062, 0·7917 and 0·8083, respectively. This approach mapped six classes of KRD and offered a visually appealing presentation. Moreover, it proposed a conceptual and size‐variable object from the classification standard of KRD. The results demonstrate that the application of our method provides an efficient approach for the mapping of KRD. Copyright © 2012 John Wiley & Sons, Ltd.     

基于高斯自适应拟合的苹果目标分割方法研究

苹果目标的准确识别是苹果机械化采摘需要解决的关键问题之一。为此,基于YUV颜色空间模型,提出了一种结合色差分量与高斯自适应拟合算法的苹果目标分割方法。该方法采用首先将苹果目标由RGB颜色空间转换至YUV颜色空间,并利用色差分量V建立果实与背景分割的高斯分布拟合模型,根据拟合结果自动获取分割阈值,以实现自然场景下苹果目标的准确分割。为了验证文中算法的有效性,利用多幅图像进行了试验并与Otsu自适应阈值分割算法进行了比较。试验结果表明,采用文中算法得到的苹果果实的平均检出率达87.08%,识别率领先Otsu算法9.91%。因此,对于着色度较为均匀的苹果目标,采用高斯自适应拟合方法可以有效提高其识别率。     

INVITED REVIEW—IMAGE REGISTRATION IN VETERINARY RADIATION ONCOLOGY: INDICATIONS,IMPLICATIONS, AND FUTURE ADVANCES

The field of veterinary radiation therapy (RT) has gained substantial momentum in recent decades with significant advances in conformal treatment planning, image‐guided radiation therapy (IGRT), and intensity‐modulated (IMRT) techniques. At the root of these advancements lie improvements in tumor imaging, image alignment (registration), target volume delineation, and identification of critical structures. Image registration has been widely used to combine information from multimodality images such as computerized tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) to improve the accuracy of radiation delivery and reliably identify tumor‐bearing areas. Many different techniques have been applied in image registration. This review provides an overview of medical image registration in RT and its applications in veterinary oncology. A summary of the most commonly used approaches in human and veterinary medicine is presented along with their current use in IGRT and adaptive radiation therapy (ART). It is important to realize that registration does not guarantee that target volumes, such as the gross tumor volume (GTV), are correctly identified on the image being registered, as limitations unique to registration algorithms exist. Research involving novel registration frameworks for automatic segmentation of tumor volumes is ongoing and comparative oncology programs offer a unique opportunity to test the efficacy of proposed algorithms.     

基于"3S"技术的甘肃子午岭自然保护区土地利用变化研究

以甘肃省子午岭自然保护区为研究对象,运用"3S"技术,对研究区的地形图、不同时相的TM遥感影像进行数据预处理,并分类提取了研究区2个时段的土地利用信息.对分类信息进行统计分析后并与实地调查数据进行比较,结果表明,近20年来甘肃子午岭自然保护区的森林覆盖面积在稳步提高,乔木林面积明显增加.为甘肃子午岭自然保护区工程的建设提供了基础信息,为林区植物种群生长及分布调查研究提供了宏观数据,并且输出了研究区不同时相土地利用专题图.