ULTRASONOGRAPHY OF ALIMENTARY LYMPHOSARCOMA IN THE CAT

Clinical, radiological and ultrasonographic findings from 22 cats with gastrointestinal lymphosarcoma were reviewed. The most common clinical findings were anorexia, weight loss, vomiting, lethargy, depression, fever, anemia and a palpable abdominal mass. Abdominal radiographs of 12 cats revealed a mass associated with the gastrointestinal tract and/or mesentery, and decreased serosal detail, suggestive of peritoneal effusion. The most common ultrasonographic finding was transmural gastric or intestinal thickening associated with loss of normal wall layering, reduced wall echogenicity and localized hypomotility. As is noted in people, other patterns such as transmural-segmental, transmural-nodular, transmural-bulky and mucosal infiltration were represented. In 3 cats, mesenteric lymph-adenopathy was responsible for most of the mass-effect. Fine-needle aspiration biopsy, automated microcore biopsy, endoscopic biopsy or necropsy confirmed the diagnosis of lymphosarcoma in all cats. Chemotherapy was instituted in 19 cats. Only 6 cats had a complete response to treatment. The results of this study indicate that ultrasonography is a valuable tool for the diagnosis of feline alimentary lymphosarcoma and that biopsies can be obtained under ultrasonographic guidance.     

USE OF ULTRASOUND-GUIDED FINE-NEEDLE ASPIRATION BIOPSY AND AUTOMATED CORE BIOPSY FOR THE DIAGNOSIS OF GASTROINTESTINAL DISEASES IN SMALL ANIMALS

The purpose of this study was to evaluate the usefulness of ultrasound-guided fine-needle aspiration biopsy and core biopsy in the diagnosis of infiltrative gastrointestinal diseases. Six dogs and seven cats with clinical signs of gastrointestinal disease underwent ultrasonography and intestinal lesions were identified. One or more ultrasound-guided fine-needle aspiration biopsy and/or core biopsy procedures were performed in each patient. Each patient also underwent one of the following additional procedures for comparison of results: 1) surgery (n=4), 2) endoscopy (n=2), 3) post mortem exam (n=3), and, 4) for lymphoma diagnosed with ultrasound-guided procedures, response to chemotherapy (n=4). Correct diagnoses were obtained in nine of the 13 patients, incorrect diagnoses in two of the 13 patients, and inconclusive diagnoses in two of the thirteen patients. Of the 16 total ultrasound-guided procedures performed, ten were confirmed as correct, three as incorrect, and three were non-diagnostic. Intestinal lesions with bowel wall thickness greater than 2.0 cm had a higher percentage of correct diagnoses than lesions of lesser wall thickness. Gastric lesions had a higher percentage of correct diagnoses than small and large intestinal lesions. Malignant lesions had a higher percentage of correct diagnoses than benign lesions. There were no complications. Ultrasound-guided gastrointestinal fine-needle aspiration biopsy and core biopsy appears to be a safe, accurate, and rapid procedure for use in the diagnosis of infiltrative gastrointestinal disease.     

《工程图学》与素质教育

《工程图学》以“图”为核心,图必构物,源于工程。其学习过程由直觉到抽象、由感性到理性、由理性到实践,是“素质教育”增长点、“多种思维”交错点、“创新思维”生长点、“创造智能”发展点、“完善人格”着力点及“创新能力”持续点,对培养发展学生的完善人格和创新能力,具有其他学科不可替代的作用。     

自动化温室测控系统的设计

温室测控系统是对温室环境囚素(如温度、湿度和CO2浓度等)进行相应地修正或调整，使植物生长处于最佳或相对最佳的生长环境条件中。为此，介绍了自动化温室测控系统的工作原理和系统的硬件实现方法，并说明了软件的设计及功能。     

《工程图学》与创新教育

从创新教育和图学教育的特点出发。目标。对《工程图学》的教学内容、教学方法、力渗透在整个教学过程中。就新形势下如何以培养学生的创新能力和树立创新意识为教学手段等进行了研究和探索。将提高素质与培养创新能     

泄流激励下水工闸门运行模态参数自动识别

为了能够自动快速准确的识别泄流激励下水工闸门的模态参数,解决系统稳态图自动化定阶困难和真实模态筛选的问题,该研究提出了一种改进的势能聚类（Potential-based Hierarchical Agglomerative,PHA）的协方差驱动随机子空间（Covariance-driven Stochastic Subspace Identification,COV-SSI）水工闸门自动模态参数识别方法。首先采用小波阈值的方法对采集信号进行去噪处理。再通过奇异值加权判断指标（Singular-value Weighted Index,SWI）进行系统阶次及稳态图最大阶次的自动化确定,剔除稳态图中的噪声模态,进一步使用势能聚类方法实现结构模态参数的自动化识别。将该方法应用于泄流激励下弧形闸门试验模型中,并与锤击法测试结果进行对比分析,结果表明,所提识别方法在无需人工激励条件下,能够实现系统阶次和稳态图最大阶次的自动化确定,剔除稳定图中虚假极点。通过与试验对比,该方法平均相对误差为3.5%,可用于泄流激励下水工闸门结构运行模态参数的自动智能化识别。     

小麦面条和面过程不同阶段面絮的划分与自动识别

和面是小麦面条加工过程中重要的一道工序,主要依据人工经验判断和面终点,缺少基于客观分析的自动化评价方法。为了实现和面过程的自动化,该研究依据小麦面条和面过程中面絮颗粒宏观状态,通过面絮状态图像的数据分析,并且从面条质构、水分状态及分布、蛋白质分子特性及微观结构揭示和面阶段划分的依据。结果表明,和面过程可以划分为初始面粉（阶段1）、润湿黏连（阶段2）、聚集成形（阶段3）、破裂分散（阶段4）和稳定平衡（阶段5）5个阶段,阶段5占和面总时间的50%左右;从阶段2到稳定平衡阶段初期（阶段5-1）,面片的硬度、弹性和咀嚼性逐渐增加并达到最大,在稳定平衡阶段中后期（阶段5-2、5-3）,面片硬度等指标数值下降;低场核磁共振与核磁共振成像分析结果表明,阶段2的水分自由度高,和面过程加速了水分在固、液、气三相之间的交换,并在阶段5达到稳定;所有和面阶段中氢键、离子键的强度明显低于疏水相互作用的强度,游离巯基含量在阶段5-2、5-3逐渐降低至稳定,二硫键含量在此阶段逐渐增多并保持稳定,蛋白质实现充分交联,决定了面条微观结构和宏观状态。构建基于深度学习的Transfer-ResNet50网络模型,实现和面阶段面絮图像的自动识别,模型识别准确率达98.5%,具有良好的可靠性,可以实现和面终点的自动判断。综上所述,面絮宏观颗粒状态可以作为和面过程划分的可靠依据,深度学习也为小麦面条和面过程自动控制提供新的思路。     

三开门自动温室气体测定箱的应用效果

为了降低农田自动温室气体测定箱在观测过程中对作物生长环境及作物生长的干扰,本研究在玉米大田环境条件下比较了一种新型的三开门自动温室气体测定箱与传统单开门自动温室气体测定箱对环境空气温湿度、土壤温度与水分、玉米生长以及温室气体排放的影响。结果表明：三开门温室气体测定箱能显著减小与大田环境条件下的空气温度、湿度及土壤温度的差异;相对于单开门箱,三开门箱在箱体打开及关闭条件下气温平均低0.90和0.74℃,空气湿度平均增加1.36%和降低5.69%;在玉米小喇叭口期前土壤温度约降低2℃,小喇叭口期后差异不显著;对土壤水分的影响在玉米苗期有一定的作用,但差异不显著;三开门箱相对于单开门箱能显著降低箱体对作物生长的影响,还能降低CO2平均通量值6.85%及N2O的平均通量值3.68%,而对CH4平均通量值基本无影响。因此,三开门箱相对于传统单开门自动温室气体测定箱能显著减小测定箱对观测环境及作物生长的干扰,应用这种箱体观测能更好地反映田间温室气体排放状况。     

视觉导引AGV鲁棒特征识别与精确路径跟踪研究

针对AGV多分支路径与工位点标识的可靠识别以及导引路径的精确跟踪问题,提出了一种基于双视野窗口的鲁棒特征识别与精确路径跟踪方法。采用整幅视野范围作为模式识别窗口,在该窗口采用基于核主成分分析(KPCA)和BP神经网络的识别方法,将路径特征通过核函数映射到高维空间进行PCA降维,再利用BP神经网络识别降维后的样本矩阵。同时提出一种导引扫描窗口设置方法,该窗口范围取决于摄像机竖直视角以及摄像机安装倾斜角,在导引扫描窗口内将导引路径简化为直线模型并用最小二乘法拟合,针对拟合直线计算导引所需的路径偏差。实验结果表明,KPCA-BP方法显著提高了路径特征识别的实时性和鲁棒性,6类路径特征的平均特征识别正确率为99.5%;导引扫描窗口有效减小了导引路径直线拟合的计算误差,直线路径跟踪误差小于3 mm,曲线路径跟踪误差小于30 mm。