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1.
This study investigated the antifungal activity and the potential antifungal mechanisms of 2-hydroxy-4-methoxybenzaldehyde (HMB) against Aspergillus flavus (A. flavus). The minimum inhibitory concentration (MIC) of HMB in preventing spore germination was 70 μg mL−1. HMB at MIC disrupted cell wall integrity by reducing the number of septa by 86.66% (P < 0.05) in mycelia and increased cell membrane permeability by about 14-fold (P < 0.05) evidenced by propidium iodide (PI) staining. Furthermore, HMB at MIC inhibited respiration by 33.33%. These results revealed that the antifungal activity of HMB against A. flavus could be attributed to the damaged cell wall integrity, cell membrane permeability and respiration metabolism. What’s more, A. flavus was completely restrained in corn kernels due to HMB. Therefore, HMB could be applied as an effective antifungal agent.  相似文献   
2.
为了改善支持向量回归机的性能,本文提出了一种利用多核学习解决回归问题的算法(NS-MKR),算法对基本核函数的组合系数施加了Lp范数的约束(p>1),以得到组合系数的非稀疏解,并采用了两步优化方法,首先求解基于加权组合核的标准支持向量回归问题,用于学习拉格朗日乘子,然后采用简单的计算,求得基本核函数的组合系数,这两个步骤交替进行,直到满足事先定义的收敛准则。在人工数据集和真实数据集上的实验表明,相对于传统的单核和稀疏多核支持向量回归方法,本文提出的算法有更好的泛化性能。  相似文献   
3.
In living organisms, the cuticle has structural functions and is involved through chemical signaling in biological interactions such as plant-insect and provides protection against biotic and abiotic factors, thereby avoiding desiccation or the attack of predators. The objective of this study was to investigate the participation of the epicuticle in the maize kernel-Sitophilus zeamais interaction. The GC-MS analysis of the epicuticle extract demonstrated the presence of aliphatic hydrocarbons, alcohols, ethers, fatty acids, sterols and their derivatives. The results of bioassays show that the epicuticle of maize has a primordial role in its interaction with S. zeamais, and participates in the recognition and attraction to the food source, as well as regulating its reproduction. In addition the compounds present in the epicuticle extract may act as signal molecules and development regulators. This study reveals the effect of the maize kernel cuticle on Sitophilus behavior and contributes to the understanding of the interaction.  相似文献   
4.
采用图像分析技术与自动控制技术,将人工智能技术应用于小麦不完善粒检测,研究开发了小麦不完善粒指标的自动快速无损检测仪器。通过验证该仪器检测小麦不完善粒的准确性、重复性、稳定性、台间差等相关性能参数,结果表明:该仪器检测性能稳定,准确性、重复性、稳定性、台间差均符合行业标准要求,操作简单,检测速度快,克服了人工检测主观性强、重复性差、不同人员间检验一致性较差等问题,可实现小麦不完善粒的自动快速无损检测,能够满足粮食收储企业、加工企业和检测机构的检测需要。  相似文献   
5.
随着国际信息技术的发展,物联网已成为发展的主流;其中的智能家居系统,作为物联网发展的十大重点领域之一,也得到快速的发展.克服传统的智能家居系统内部有线组网的弊端,本文研究采用无线通信技术来组建家庭无线局域网的硬件系统,先对设计了总体的系统图,然后分别对硬件系统和软件系统分别进行设计,其中软件系统基于UC/OS-Ⅱ嵌入式操作系统的应用软件的开发,使用户操作起来更加方便,界面更加友好.  相似文献   
6.
In the real world all events are connected. There is a hidden network of dependencies that governs behavior of natural processes. Without much argument it can be said that, of all the known data-structures, graphs are naturally suitable to model such information. But to learn to use graph data structure is a tedious job as most operations on graphs are computationally expensive, so exploring fast machine learning techniques for graph data has been an active area of research and a family of algorithms called kernel based approaches has been famous among researchers of the machine learning domain. With the help of support vector machines, kernel based methods work very well for learning with Gaussian processes. In this survey we will explore various kernels that operate on graph representations. Starting from the basics of kernel based learning we will travel through the history of graph kernels from its first appearance to discussion of current state of the art techniques in practice.  相似文献   
7.
采集云南17个产地的核桃仁并测定其蛋白质及氨基酸含量,通过氨基酸分类、氨基酸比值系数法、聚类分析法综合考察氨基酸模式及营养价值。结果表明,各地的核桃仁都富含17种氨基酸(色氨酸未检测),氨基酸总量为3.35%~5.14%,必需氨基酸含量为1.13%~1.76%,药效氨基酸含量占氨基酸总量的67.47%~68.63%,呈味氨基酸含量占总氨基酸含量的36.86%~40.63%。所测核桃仁氨基酸模式中必需氨基酸搭配不均衡,第一限制性氨基酸为赖氨酸。核桃仁的比值系数分为61.48~69.54,其营养价值相对较好。经聚类分析得出,云南17种核桃仁中娘青(漾濞)、鲁甸大麻1号(昭通)、宁香(昌宁)、寻倘1号(寻甸)、庆丰3号(昭仁5)产地的核桃仁品质最好。  相似文献   
8.
为了满足在实验室中通过多种设备监测健康运行状态的需求,本文设计了一种基于CAN总线的嵌入式设备状态监测平台。系统硬件基于STM32F103芯片,外接数据采集、存储、传输和显示模块。软件应用μC/OS-II系统作为嵌入式操作系统,设计了CAN通信的状态机和指令,采用μC/GUI提供的接口函数来绘制用户界面。整个系统结构清晰、扩展性强,具有一定实用价值。  相似文献   
9.
A state space differential reproducing kernel (DRK) method is developed for the three-dimensional (3D) analysis of functionally graded material (FGM) sandwich circular hollow cylinders with combinations of simply-supported and clamped edges and under sinusoidally (or uniformly) distributed loads. The strong formulation of this 3D elasticity problem is derived on the basis of the Reissner mixed variational theorem (RMVT), which consists of the Euler–Lagrange equations of this problem and its associated boundary conditions. The primary field variables are expanded as the single Fourier series in the circumferential coordinate, then interpolated in the axial coordinate using the early proposed DRK interpolation functions, and finally the state space equations of this problem are obtained, which represent a system of ordinary differential equations in the thickness coordinate. The present state space DRK solutions can then be obtained by means of the transfer matrix method. In the illustrative examples, three different edge conditions, the simple-simple (SS), simple-clamped (SC), and clamped–clamped (CC) edges, are considered, and the accuracy and convergence of this method are examined by comparing their solutions with the exact 3D ones available in the literature and the solutions using the ANSYS commercial software.  相似文献   
10.
Wheat is one of the most consumed grains in the world. The identification of wheat based on surface characteristics is important for the market. This study is aimed at identifying unsound kernels (Triticum durum Desf), including 710 black germ kernels, 627 broken kernels and 1169 sound kernels from several seed distributors in China. The system is mainly composed of a liner charge‐coupled device for image capture and a software package for extracting various morphological, colour and texture features. The models built by partial least squares discriminate analysis, support vector machine discrimination analysis (SVMDA) and principal component analysis‐artificial neural networks for identifying the unsound kernels have been explored. After comparisons of these three methods, it has been found that SVMDA got the best accuracy: 95.1%, 96.0% and 98.3% (black germ kernels, broken kernels and sound kernels). Obviously, the experimental results have shown that SVMDA is the most feasible and effective choice for the identification.  相似文献   
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