基于多种交易方式的省间省内现货市场双层出清模型

新能源比例不断提升,省间消纳需求不断增加,构建满足全局资源优化运行的省间市场是促进市场效率提升的关键。文中基于多种块交易及小时交易的时间耦合关系,建立了省间省内两级现货市场出清模型。首先,构建了包含普通小时交易、灵活小时交易、常规块交易、可移动式块交易和扩展链接式块交易多种交易方式的混合整数线性规划模型。其次,为解决省间市场主体较多、块交易时间耦合复杂带来的出清难度大的问题,提出了基于省内出清结果的参与省间市场主体的筛选机制,进一步实现基于各省筛选出主体的省间市场出清,通过融合省间、省内出清结果形成最终中标结果。最后,通过多区域互联的IEEE RTS-96系统算例验证该模型的合理性及其作用效果。结果表明,相较于各省单独出清,省间省内两级市场出清提升了整体社会福利。所提方法在提高求解效率的同时,尽量逼近省间整体出清的全局最优解,实现了社会福利最大化。     

基于改进2DCNN的高光谱遥感图像处理研究

针对传统遥感图像处理中的时间成本和人工成本高、效率低等问题,以提高遥感高光谱图像分类中的处理速度、精度,降低参数量为目标,提出改进的2DCNN模型En-De-2CP-2DCNN.首先,使用1DCNN、2DCNN与3DCNN在Pavia University HSI数据集上分别进行分类实验,对比分析各自优缺点.其次,在保持较快的处理速度和不增加模型参数量的前提下,选择2DCNN为基础模型,参考SegNet的Encoder-Decoder结构,融入双卷积池化思想进行基础模型改进,同时优化学习策略.结果表明:En-De-2CP-2DCNN模型F1为99.96％,达到3DCNN的同等水平(99.36％),较改进前(97.28％)提高2.68个百分点;处理速度(5 s／epoch)和1DCNN位于同一量级,快于3DCNN(96 s／epoch);参数量(2.01 MB)较改进前降低了1.54 MB,虽高于3DCNN(316 KB),但远低于1DCNN(19.21 MB).En-De-2CP-2DCNN模型在处理速度和参数量方面的改进,有利于进一步实现移动端的轻量化部署.     

铁素体区轧制技术及应用于攀钢生产的可行性

讨论了铁素体区轧制技术的优势,特点及其在国内外生产厂家的应用现状,分析限铁素体区轧制工艺在攀钢实施的可行性。     

中远程一体化车载雷达线阵天线的设计

该文提出了一种新型的宽带近接耦合毫米波微带阵列天线,并将其作为77~81 GHz中远程汽车雷达的专用天线。该天线阵列由微带线及一系列矩形和多边形辐射单元组成。辐射单元在微带线两侧呈周期性分布,间隔约为引导波长的1/2。为增强激励耦合引入了矩形和多边形辐射单元,在拓宽阻抗带宽的同时,抑制了带外频率。不同辐射单元和矩形反射槽相匹配,达到波束赋形的效果,实现了平肩膀辐射方向图。通过调整辐射单元与微带线的间隔,控制辐射单元的归一化电阻。在工作频率为77~81 GHz时,阵列天线的增益超过14 dBi,阻抗带宽达到7.47%(76.5~82.4 GHz)。对实物样本进行加工及性能检测,测试表明,仿真与实测数据基本一致。     

泡沫铝负载氧化铈的制备及其除氟性能研究

以六水合硝酸铈为铈源、六次甲基四胺为沉淀剂,通过水热法制备了氧化铈(CeO2)粉末和泡沫铝负载氧化铈复合体。环境扫描电镜(ESEM)观察表明成功实现了泡沫铝负载氧化铈,且氧化铈在泡沫金属上不易脱落。透射电子显微镜(TEM)观察表明氧化铈(CeO2)粉末颗粒的粒径为5～10nm,呈立方块状,选区电子衍射为多晶环。研究了pH值和时间对氧化铈及泡沫铝负载氧化铈复合体除氟性能的影响,经理论计算及实验数据拟合,结果表明CeO2及复合体除氟是在其表面的羟基同氟离子发生可逆交换吸附去除氟离子,属于交换吸附模型。     

聚乙烯亚胺为主链的液晶高分子研究进展

综述了近几年以聚乙烯亚胺(PEI)为主链的液晶高分子的研究进展.从PEI型液晶高分子的原理、结构和性能方面着手,展望了几类新型PEI液晶高分子的发展趋势.     

Specific Local Predictors That Reflect the Tropism of Endometriosis—A Multiple Immunohistochemistry Technique

Ectopic endometrial epithelium associates a wide spectrum of symptomatology. Their evolution can be influenced by inflammatory and vascular changes, that affect not only the structure and cell proliferation rate, but also symptoms. This prospective study involved tissue samples from surgically treated patients, stained using classical histotechniques and immunohistochemistry. We assessed ectopic endometrial glands (CK7+, CK20−), adjacent blood vessels (CD34+), estrogen/progesterone hormone receptors (ER+, PR+), inflammatory cells (CD3+, CD20+, CD68+, Tryptase+), rate of inflammatory cells (Ki67+) and oncoproteins (BCL2+, PTEN+, p53+) involved in the development of endometriosis/adenomyosis. A CK7+/CK20− expression profile was present in the ectopic epithelium and differentiated it from digestive metastases. ER+/PR+ were present in all cases analyzed. We found an increased vascularity (CD34+) in the areas with abdominal endometriosis and CD3+−:T-lymphocytes, CD20+−:B-lymphocytes, CD68+:macrophages, and Tryptase+: mastocytes were abundant, especially in cases with adenomyosis as a marker of proinflammatory microenvironment. In addition, we found a significantly higher division index-(Ki67+) in the areas with adenomyosis, and inactivation of tumor suppressor genes-p53+ in areas with neoplastic changes. The inflammatory/vascular/hormonal mechanisms trigger endometriosis progression and neoplastic changes increasing local pain. Furthermore, they may represent future therapeutic targets. Simultaneous-multiple immunohistochemical labelling represents a valuable technique for rapidly detecting cellular features that facilitate comparative analysis of the studied predictors.     

Molecular and Physiological Responses of Citrus sinensis Leaves to Long-Term Low pH Revealed by RNA-Seq Integrated with Targeted Metabolomics

Low pH-induced alterations in gene expression profiles and organic acids (OA) and free amino acid (FAA) abundances were investigated in sweet orange [Citrus sinensis (L.) Osbeck cv. Xuegan] leaves. We identified 503 downregulated and 349 upregulated genes in low pH-treated leaves. Further analysis indicated that low pH impaired light reaction and carbon fixation in photosynthetic organisms, thereby lowering photosynthesis in leaves. Low pH reduced carbon and carbohydrate metabolisms, OA biosynthesis and ATP production in leaves. Low pH downregulated the biosynthesis of nitrogen compounds, proteins, and FAAs in leaves, which might be conducive to maintaining energy homeostasis during ATP deprivation. Low pH-treated leaves displayed some adaptive responses to phosphate starvation, including phosphate recycling, lipid remodeling, and phosphate transport, thus enhancing leaf acid-tolerance. Low pH upregulated the expression of some reactive oxygen species (ROS) and aldehyde detoxifying enzyme (peroxidase and superoxidase) genes and the concentrations of some antioxidants (L-tryptophan, L-proline, nicotinic acid, pantothenic acid, and pyroglutamic acid), but it impaired the pentose phosphate pathway and V_E and secondary metabolite biosynthesis and downregulated the expression of some ROS and aldehyde detoxifying enzyme (ascorbate peroxidase, aldo-keto reductase, and 2-alkenal reductase) genes and the concentrations of some antioxidants (pyridoxine and γ-aminobutyric acid), thus disturbing the balance between production and detoxification of ROS and aldehydes and causing oxidative damage to leaves.     

一种针对FPGA位流的自动化故障注入分析方法

理论上通过篡改FPGA位流,利用其实现的密码算法的错误输出可以分析出密钥,但这种攻击通常需要非常了解目标FPGA的内部结构与位流的对应关系。而位流逆向的难度很大,导致此类攻击的实用性不高。文章提出一种针对FPGA位流的自动化故障注入分析方法,不需要逆向位流,结合张帆等人提出的持久性故障分析理论,把因篡改算法常量导致的出错结果作为可利用的故障。并首次在Xilinx-7系列FPGA开发板上利用Spider进行电压故障注入实验,480条错误密文就可以得到AES-128的密钥,且在10 min内可以完成数据的采集和分析。对于加密位流的情况,可以先利用电磁侧信道分析方法得到明文位流,再结合该文的分析方法来进行密钥破解。