Research and Realization of Calculating Artery Compliance Using Oscillometric Method

This paper presents a method that can non-invasively detect artery compliance using oscillometric method.There are also researches about Windkessel theory,and analysis of the combination of Windkessel and oscillometric method.Then the authors summarize a method to calculate artery compliance and introduce the clinical effect in the hospital.Compared with traditional sphygmomanometer,they get the pertinence of SBP is r=0.918 5(P<0.001).And the pertinence of DBP is r=0.899(P<0.001).Then it is compared with ultrasonic method,the pertinence of compliance is r=-0.820 9(P<0.01).This proves that the diagnose of blood pressure and artery compliance is effective and artery compliance is an important index in cardiovascular clinical measurement.So this paper makes the oscillometric method to be applied to wide ranges in calculating cardiovascular indexs.     

Outbreak of shoot blight and dieback of Eucalyptus spp., caused by Pseudoplagiostoma eucalypti in Brazil

An outbreak of a new and severe disease was observed in Eucalyptus plantations of Bahia state, Brazil. An Ascomycota fungus has been frequently associated with the main symptoms of the disease namely leaf spot, branch cankers, shoot blight, defoliation, and dieback. Based on morphological characteristics, phylogenetic analysis (ITS and TEF-1α genes), and pathogenicity test on Eucalyptus plants, Pseudoplagiostoma eucalypti was identified as the causal agent of the disease. Although P. eucalytpi has been known from in Brazil since 1998, this is the first report of it causing severe disease and die-back on Eucalyptus spp. and we also record new symptoms associated with the pathogen.     

Physiological and pathological roles of mast cells in adipose tissue

Mast cells are important cells for the innate immunity that reside in tissues including adipose tissue and are involved in various physiological and pathological processes by producing a range of biological mediators. Adipose tissue not only acts as an energy depot and regulator of energy homeostasis that can deposit excess energy and dissipate energy through heat, but also is an active endocrine organ capable of producing hormones and adipokines. The dysfunction of adipose tissue is highly correlated with metabolic disorders, such as obesity, type 2 diabetes mellitus and so on. This review focuses on the physiological and pathological roles of mast cells in adipose tissue.     

大数据时代山东农业病虫害监测预警体系建设

在大数据时代,海量的数据资源是推动经济发展和社会进步的基石,丰富、透明、完善的农业大数据资源是加快农业信息化建设步伐的前提,先进、有序、完备的农业病虫害监测预警体系是服务绿色农业发展的支撑。该研究试图在研究国内外农业病虫害监测预警体系的基础上,在农业专家的指导下,进行大数据时代农业病虫害监测预警体系构建。山东农业病虫害监测预警体系的建设应主动适应大数据时代的发展需求,分步构建病虫害监测预警体系,分层划分病虫害数据中心工作,合理布局病虫害数据采集站点,科学制定病虫害监测预警任务,共建共享病虫害监测数据信息,有效加强病虫害联合监测预警,努力研发病虫害智能识别终端,为发展现代高效农业提供坚实的保障。     

春大豆抗大豆花叶病毒病鉴定初报

1990年和1991年对127个已定型的春大豆株系的抗大豆花叶病毒病的抗性及产量进行了测定.其中高抗材料有51个,中抗材料19个.在高抗材料中,有7个株系比对照增产10%以上,是很有希望的新品系,有15个材料病指在1.0以下,但产量表现不突出,可作为抗源材料,根据不同地区同一品种抗性差异较大这一结果,抗性自然鉴定圃宜设在大豆病毒病重病区.     

数字PCR技术在动物疫病检测中的应用

为了支持动物疫病流行地区的控制及消除计划,以及在动物疫病非流行地区进行有效筛查,必须使用更加准确灵敏的诊断手段。数字PCR可实现绝对定量及痕量核酸的检测,与传统检测方法相比具有不依赖参考物或标准品、对抑制剂具有较高耐受性、灵敏度和精准度更高的优点。数字PCR作为一种定量分析的核酸检测新方法,在动物疫病检测中得到了应用,围绕数字PCR技术的原理、应用、存在的问题及发展趋势等进行综述及分析,为数字PCR在动物疫病检测中的进一步应用提供参考。     

基于改进MobileNet-V2的田间农作物叶片病害识别

农作物病害是造成粮食产量下降的重要因素,利用智能化手段准确地识别农作物病害有利于病害的及时防治,该研究基于改进的MobileNet-V2识别复杂背景下的农作物病害,对未来覆盖各种作物的智能化病害识别工作具有重要意义。首先创建含有11类病害叶片及4类健康叶片的农作物数据集,采用数据增强操作构造不同的识别场景。其次在原始模型MobileNet-V2的基础上,嵌入轻量型的坐标注意力机制,建立通道注意力与位置信息的依赖关系。然后对网络中不同尺寸的特征图采取上采样融合操作,构建兼具网络高、低层信息的新特征图。此外,采用分组卷积并删除模型中不必要的分类层,减少模型参数量。试验结果表明：改进模型的参数量为2.30 MB,改进模型的识别准确率在背景复杂的农作物叶片病害数据集中达到了92.20%,较改进前提高了2.91个百分点。相比EfficientNet-b0、ResNet-50、ShuffleNet-V2等经典卷积神经网络架构,改进模型不仅达到了更高的识别准确率,还具有更平稳的收敛过程以及更少的参数。该研究改进的模型较好地平衡了模型的复杂度和识别准确率,为深度学习模型移植至田间移动病害检测设备提供了思路。     

基于迁移学习的葡萄叶片病害识别及移动端应用

为解决已有的卷积神经网络在小样本葡萄病害叶片识别的问题中出现的收敛速度慢,易产生过拟合现象等问题,提出了一种葡萄叶片病害识别模型(Grape-VGG-16,GV),并针对该模型提出基于迁移学习的模型训练方式。将VGG-16网络在ImageNet图像数据集上学习的知识迁移到本模型中,并设计全新的全连接层。对收集到的葡萄叶片图像使用数据增强技术扩充数据集。基于扩充前后的数据集,对全新学习、训练全连接层的迁移学习、训练最后一个卷积层和全连接层的迁移学习3种学习方式进行了试验。试验结果表明,1)迁移学习的2种训练方式相比于全新学习准确率增加了10～13个百分点,并在仅训练25轮达到收敛,该方法有效提升了模型分类性能,缩短模型的收敛时间;2)数据扩充有助于增加数据的多样性,并随着训练次数的增加,训练与测试准确率同步上升,有效缓解了过拟合现象。在迁移学习结合数据扩充的方式下,所构建的葡萄叶片病害识别模型(GV)对葡萄叶片病害的识别准确率能达到96.48%,对健康叶、褐斑病、轮斑病和黑腐病的识别准确率分别达到98.04%、98.04%、95.83%和94.00%。最后,将最终的研究模型部署到移动端,实现了田间葡萄叶片病害的智能检测,为葡萄病害的智能诊断提供参考。     

火龙果病虫害的研究进展

对我国有关火龙果病虫害的研究进展进行了概述,着重阐述了火龙果病虫危害的症状、发生规律以及防治方法,并对我国未来火龙果病虫害的综合防治技术进行了初步探讨。     

A scoping review of autoantibodies as biomarkers for canine autoimmune disease

BackgroundAutoantibody biomarkers are valuable tools used to diagnose and manage autoimmune diseases in dogs. However, prior publications have raised concerns over a lack of standardization and sufficient validation for the use of biomarkers in veterinary medicine.ObjectivesSystematically compile primary research on autoantibody biomarkers for autoimmune disease in dogs, summarize their methodological features, and evaluate their quality; synthesize data supporting their use into a resource for veterinarians and researchers.AnimalsNot used.MethodsFive indices were searched to identify studies for evaluation: PubMed, CAB Abstracts, Web of Science, Agricola, and SCOPUS. Two independent reviewers (AET and ELC) screened titles and abstracts for exclusion criteria followed by full‐text review of remaining articles. Relevant studies were classified based on study objectives (biomarker, epitope, technique). Data on study characteristics and outcomes were synthesized in independent data tables for each classification.ResultsNinety‐two studies qualified for final analysis (n = 49 biomarker, n = 9 epitope, and n = 34 technique studies). A high degree of heterogeneity in study characteristics and outcomes reporting was observed. Opportunities to strengthen future studies could include: (1) routine use of negative controls, (2) power analyses to inform sample sizes, (3) statistical analyses when appropriate, and (4) multiple detection techniques to confirm results.ConclusionsThese findings provide a resource that will allow veterinary clinicians to efficiently evaluate the evidence supporting the use of autoantibody biomarkers, along with the varied methodological approaches used in their development.