Comparison of nuclear morphometric parameters in cytologic smears and histologic sections of spontaneous canine tumors

Background — Nuclear morphometry may provide useful diagnostic and prognostic information for neoplasms in animals. Most available data have been obtained from histologic sections. Nuclear morphometry of cytologic smears may provide important pre-operative information.
Objectives — The goal of this study was to compare nuclear morphometric parameters in cytologic smears and histologic sections from spontaneous canine tumors.
Methods — Mean nuclear area (MNA), mean nuclear perimeter (MNP), mean nuclear form factor (FF; nuclear perimeter²/4π nuclear area) and their respective SDs were assessed by image analysis of both hematoxylin and eosin-stained histologic sections and May-Grünwald-Giemsa-stained cytologic smears from the same case in 20 spontaneous canine tumors of different histogenesis. The above parameters were selected as being the best morphometric tools for measuring variation in shape and size in cells after neoplastic transformation. Data were compared by ANOVA with P<.01 considered significant.
Results — There was a significant difference between histologic and cytologic specimens for MNA, MNP, and their SDs. Only the differences between FF and the SD of FF were not statistically significant.
Conclusions — Only nuclear morphometric data related to nuclear shape and nuclear shape variability are comparable between histologic and cytologic specimens. Nuclear area and perimeter may be affected by the different fixation and smear preparation techniques used in histology and cytology.     

文化意象的传递和翻译

文化意象的差异往往导致传递过程中的语义缺省和冲突.本文就文化意象的传递和翻译问题进行了探讨,强调译者应提高跨文化意识,结合异化和归化两种互惠互补的翻译策略,实现文化传真.     

疏勒河流域中下游景观格局特征与景观生态建设

利用疏勒河流域中下游1990、1994和1999年1∶10万土地利用现状图、地形图和TM遥感影像及相应的GIS获取的数据,调查分析其景观格局变化.结果表明,疏勒河流域景观格局特征为:在浩瀚的戈壁上点缀着带状的绿洲,而在这带状的绿洲中,其景观要素的分布也呈圈带状,以河流廊道为核心,从内向外依次为农田、林地和草地、盐碱地、沙地、风蚀荒地.其景观格局变化特征为耕地、盐碱地、沙地、风蚀荒地面积不断扩大,林地和草地面积不断减小.针对其特征及变化,从景观生态理论及方法的角度,提出了以绿洲建设、河流廊道建设和荒漠植被建设为核心的景观生态建设方案.     

基于TM遥感影像的森林类型分类方法比较

以吉林省汪清林业局为例,基于Landsat5-TM影像,充分利用遥感影像光谱信息,分别采用动态聚类法和组合监督分类法对该林区的森林类型进行分类,并对分类结果的精度进行比较分析.研究结果表明,利用组合监督分类的精度比动态聚类法分类的精度要高,总体分类精度高11％,其中针叶林、阔叶林、混交林和其他用地的分类精度分别高8％、11％、17％和10％.     

基于群体图像识别的生菜鲜重估算方法研究

为提高温室环境最优控制中生菜信息在线反馈精度,通过群体图像识别研究生菜鲜重估算方法;通过生菜群体图像和单株图像,研究群体估算时误差正负相消对整体误差的改善作用,评估生菜遮挡问题对估算精度的影响,并研究能否通过改进深度学习的损失函数以实现对估算精度的进一步提高。结果表明：1)与不存在遮挡问题的单株图像生菜鲜重估算结果相比,基于群体图像裁剪的生菜鲜重估算决定系数(R²)低0.010 8,归一化均方根误差(NRMSE)高2.69%,平均绝对百分误差(MAPE)低2.36%,虽然估算精度略低,但是生菜群体的遮挡问题更能反映生产实际。2)群体估算虽然存在遮挡问题导致裁剪不完整,但根据误差正负相消原理,相比没有遮挡的单株估算结果MAPE仍然低3.49%,因此更适用于生菜产量信息反馈。3)基于更优化MAPE的损失函数平均平方百分误差(MSPE),可以进一步降低群体估算的MAPE至8.46%,满足“软测量”对估算精度的需求。考虑到温室生菜的实际生产情况,群体估算更适合用于温室环境最优控制中生菜产量信息的在线反馈,通过深度学习等方法的优化,可以将生菜产量的估算误差降低至10%以内。     

面向对象多层次多尺度分割的农用大棚类型信息提取

为对不同农用大棚类型信息进行识别分类和精细化提取,以内蒙古河套灌区不同大棚类型为研究对象,基于Sentinel-2A卫星数据,采用面向对象结合多层多尺度分割技术和阈值分类方法,对大棚类型信息进行提取并对最终提取结果展开精度评价和分析研究。首先利用尺度参数估计（Estimation of Scale Parameter2, ESP2）方法进行了分层分割并优选出最佳分割尺度,在各层最优分割尺度上进行光谱、指数、几何、纹理等特征的提取与优化,获取最优特征组合;然后运用多层多尺度分割阈值分类方法提取不同大棚类型信息。结果表明不同大棚类型信息总体精度达94.8%,kappa系数达0.93。其中：塑料大棚的制图精度和用户精度分别为95.3%和96.6%;单屋面温室大棚制图精度和用户精度分别为88.5%和92.6%。基于多层多尺度分割分类的信息提取方法分别考虑了不同地物最优分割尺度,在不同地物各自的最优分割尺度上提取其信息,以抑制过度分割或亚分割现象,从而降低错分或漏分。因此,高分辨率卫星数据与面向对象多层多尺度分割分类的信息提取方法能够有效提高大棚类型信息提取精度,且能为地物信息精细提取技术体系提供一定参考思路。     

基于改进YOLOv7的苹果生长状态及姿态识别

针对目前苹果在复杂环境下难以进行生长状态分类识别、姿态信息同步获取等问题,该研究提出了一种基于改进YOLOv7的苹果生长状态分类和果实姿态融合识别方法。首先改进多尺度特征融合网络,在骨干网络中增加160×160的特征尺度层,用于增强模型对微小局部特征的识别敏感度;其次引入注意力机制CBAM(convolutional block attention module),改善网络对输入图片的感兴趣目标区域的关注度;最后采用Soft-NMS算法,能够有效避免高密度重叠目标被一次抑制从而发生漏检现象。此外,结合UNet分割网络和最小外接圆及矩形特征获取未遮挡苹果姿态。试验结果表明,改进YOLOv7的识别精确率、召回率和平均识别精度分别为86.9%、80.5%和87.1%,相比原始YOLOv7模型分别提高了4.2、2.2和3.7个百分点,另外苹果姿态检测方法的准确率为94%。该文模型能够实现苹果生长状态分类及果实姿态识别,可为末端执行器提供了抓取方向,以期为苹果无损高效的采摘奠定基础。     

Image-Based Soil Deformation Measurement in Geotechnical Model Test

Deformation measurement and analysis play an important role in geotechnical model tests. Using the concept of quadrilateral isoperimetric element, the strain filed was achieved from the calculation method based on displacement modes, and the verification results show that this measurement technique has a reliable precision. The soil deformation in model test of square shallow foundation was measured by using this technique, and the results show that the measurement system based on digital image correlation method can realize the whole process quantitative measurement of soil displacement field and shear strain filed. This deformation measurement technique provides a tool for the qualitative and quantitative analysis of soil micromechanics characteristics.     

运用SWRRB模型研究西班牙Teba流域水量和沉积物量: Ⅰ. 模型输入及模拟实验

Water yield and sediment yield in the Teba catchment, Spain, were simulated using SWRRB (Simulator for Water Resources in Rural Basins) model. The model is composed of 198 mathematical equations. About 120 items (variables) were input for the simulation, including meteorological and climatic factors, hydrologic factors, topographic factors, parent materials, soils, vegetation, human activities, etc. The simulated results involved surface runoff, subsurface runoff, sediment, peak flow, evapotranspiration, soil water, total biomass, etc. Careful and thorough input data preparation and repeated simulation experiments are the key to get the accurate results. In this work the simulation accuracy for annual water yield prediction reached to 83.68%.     

基于遗传算法的遥感数字图像镶嵌研究

遥感数字图像的镶嵌处理是遥感图像处理的基本工作之一，为此介绍了一种基于遗传算法确定图像重叠区和调整图像色度，以辅助完成遥感图像的镶嵌工作的新方法。