Multi-Omics Revealed Molecular Mechanisms Underlying Guard Cell Systemic Acquired Resistance

Systemic Acquired Resistance (SAR) improves immunity of plant systemic tissue after local exposure to a pathogen. Guard cells that form stomatal pores on leaf surfaces recognize bacterial pathogens via pattern recognition receptors, such as Flagellin Sensitive 2 (FLS2). However, how SAR affects stomatal immunity is not known. In this study, we aim to reveal molecular mechanisms underlying the guard cell response to SAR using multi-omics of proteins, metabolites and lipids. Arabidopsis plants previously exposed to pathogenic bacteria Pseudomonas syringae pv. tomato DC3000 (Pst) exhibit an altered stomatal response compared to control plants when they are later exposed to the bacteria. Reduced stomatal apertures of SAR primed plants lead to decreased number of bacteria in leaves. Multi-omics has revealed molecular components of SAR response specific to guard cells functions, including potential roles of reactive oxygen species (ROS) and fatty acid signaling. Our results show an increase in palmitic acid and its derivative in the primed guard cells. Palmitic acid may play a role as an activator of FLS2, which initiates stomatal immune response. Improved understanding of how SAR signals affect stomatal immunity can aid biotechnology and marker-based breeding of crops for enhanced disease resistance.     

Synthesis,Micellization, and Surface Activity of Novel Linear-Dendritic Carboxylate Surfactants

Two generations of novel linear-dendritic carboxylate surfactants C₁₈-G₁-(COONa)₂ and C₁₈-G₂-(COONa)₄ have been synthesized by the divergent method and their structures are characterized by ¹H Nuclear Magnetic Resonance and Infrared analysis. The electrical conductivity measurement is used to measure the Krafft temperatures of C₁₈-G₁-(COONa)₂ and C₁₈-G₂-(COONa)₄, which are much smaller than those of the corresponding conventional surfactant sodium stearate. The markedly enhanced solubility of two linear-dendritic surfactants is ascribed to the high hydrophilicity of surfactant headgroups induced by the carboxylate and ester groups. The critical micelle concentration (CMC) values obtained from both the electrical conductivity and surface tension measurements indicate that the micellizations of linear-dendritic surfactants become favorable with the increase in the number of the surfactant headgroup. However, the surface activity parameters including the surface tension at the CMC, maximum surface excess, and minimum surface area reveal that C₁₈-G₁-(COONa)₂ exhibits greater efficiency in absorbing at the air/water interface compared to C₁₈-G₂-(COONa)₄, owing to their different steric repulsions of the surfactant headgroups. In addition, C₁₈-G₁-(COONa)₂ and C₁₈-G₂-(COONa)₄ have higher emulsifying ability than the conventional surfactants sodium stearate and sodium octadecyl sulfate.     

Model predictive control of grid-connected PV power generation system considering optimal MPPT control of PV modules

Because of system constraints caused by the external environment and grid faults, the conventional maximum power point tracking (MPPT) and inverter control methods of a PV power generation system cannot achieve optimal power output. They can also lead to misjudgments and poor dynamic performance. To address these issues, this paper proposes a new MPPT method of PV modules based on model predictive control (MPC) and a finite control set model predictive current control (FCS-MPCC) of an inverter. Using the identification model of PV arrays, the module-based MPC controller is designed, and maximum output power is achieved by coordinating the optimal combination of spectral wavelength and module temperature. An FCS-MPCC algorithm is then designed to predict the inverter current under different voltage vectors, the optimal voltage vector is selected according to the optimal value function, and the corresponding optimal switching state is applied to power semiconductor devices of the inverter. The MPPT performance of the MPC controller and the responses of the inverter under different constraints are verified, and the steady-state and dynamic control effects of the inverter using FCS-MPCC are compared with the traditional feedforward decoupling PI control in Matlab/Simulink. The results show that MPC has better tracking performance under constraints, and the system has faster and more accurate dynamic response and flexibility than conventional PI control.     

Multi-Scale Dilated Convolutional Neural Network for Hyperspectral Image Classification

基于多尺度空洞卷积神经网络的高光谱图像分类

郑姗姗¹,刘文¹,单锐¹,赵静一²,江国乾³,张智⁴

（1. 燕山大学理学院,河北 秦皇岛 066004;2. 燕山大学机械工程学院,河北 秦皇岛 066004;3. 燕山大学电气工程学院,河北 秦皇岛 066004;4. 北京航天研究所,北京 100094）

创新点说明：

1）将图像分割方法——空洞卷积用于卷积神经网络进行高光谱图像分类,提取更加广泛、抽象的图像特征。

2）构建基于多尺度空洞卷积神经网络的高光谱图像分类方法。搭建多尺度聚合结构,在每个通道中使用快捷连接和空洞卷积结构,有效提取图像特征,避免信息丢失。

研究目的：

针对图像信息丢失问题,得到高精度的高光谱图像分类方法。

研究方法：

在Indian Pines和Pavia University数据集上,与4个已有的高光谱图像分类方法进行对比实验,比较OA, AA和Kappa值。

研究结果：

多尺度空洞卷积神经网络在Indian Pines和Pavia University数据集上OA值分别达到了99.58%,99.92%。AA值分别达到了99.57%,99.90%。Kappa分别达到了99.52%,99.89%。

结论：

1）在卷积神经网络中引入空洞卷积,可以有效避免图像信息丢失。

2）多尺度空洞卷积神经网络能提取更佳的判别性特征,实现高分类性能。

关键词：多尺度聚合;空洞卷积;高光谱图像分类;快捷连接

     

V2O5/g⁃C3N4催化剂的制备及其模拟油中硫化物的脱除

以三聚氰胺、偏钒酸铵、硼酸为前驱体,通过煅烧法制备V₂O₅/g⁃C₃N₄催化剂。采用XRD、FT⁃IR、XPS、SEM和BET等技术对催化剂的结构与形貌进行表征。以V₂O₅/g⁃C₃N₄为催化剂,乙腈为萃取剂,H₂O₂为氧化剂对模拟油中二苯并噻吩（DBT）的脱除进行考察。探究了反应温度、催化剂质量、萃取剂体积、n(H₂O₂)/n(S)以及不同硫化物等因素对脱硫效果的影响。在模拟油体积为5.0 mL、萃取剂乙腈体积为3.0 mL、n(H₂O₂)/n(S)=8、催化剂质量为0.02 g、反应温度为30 ℃和反应时间为60 min的最佳条件下,DBT的脱除率达到91.9%,经过5次催化剂再生后脱硫率仍可以达到85.7%。     

行政处罚中"工程合同价款"的认定研究

建设工程领域的法律制度规范在设定法律责任时,将"工程合同价款"作为罚款基数的规定很多.但"工程合同价款"含义的不确定性,造成行政执法实践中认定的混乱.一方面应厘清合同价款、工程价款、工程造价等常用概念,另一方面要遵循契约自由的基本原则,探求当事人约定的实质内容,结合行政处罚规定设定的 目的,考虑行政行为的一致性及效率性原则,通过多种渠道、按照一定顺序来确定作为行政罚款基数的工程合同价款.     

考虑降低碳排放的多源微网经济调度方法

在低碳电力的背景下,含多种新能源的微网系统成为节能减排的重要模式.为保证新能源消纳同时兼顾微网的经济性与环保性,本文将碳交易机制引入微网的运行调度模型中,构建了含风电、光伏发电、燃气轮机的微网优化调度模型.该模型综合考虑了碳交易成本,风电、光伏发电的运行成本和外购能源成本以及电力平衡的相关约束.算例对本文模型与传统无碳交易模型的调度结果进行对比,并分析了不同新能源消纳比例的碳排放量、运行成本等,从不同角度验证了该模型的有效性.     

钢芯铝绞线接续管风振疲劳响应试验研究

为验证钢芯铝绞线接续管压接后微风振动作用下接续管管体与管绞线的疲劳情况,以LGJ-240/30钢芯铝绞线和YJD-240/30钢芯铝绞线接续管为试验对象,进行了风振疲劳试验研究,并通过SEM电镜对试件的裂纹进行了扫描,由此来采集接续管与管口的裂缝长度,并对接续管疲劳试验中的动弯应变进行了采集.结论表明,接续管疲劳源区在微风振动作用下会形成较大的动弯应力,且在25％额定拉断力下,管口绞线应变值持续为管体的2倍～3倍,并先后出现断裂源、纤维区、剪切唇等现象.