Effect of Quantum Biology of Benzene

The purpose of the paper is to elucidate the biological effect of benzene on the basis of benzene constitution, quantum chemistry and quantum biology. In addition, we also have examined the toxicological mechanism of benzene in view of action of benzene on energy.     

Molecular Basis of Transfer of Transfer of Induced Resistance in Plants

ＭｏｌｅｃｕｌａｒＢａｓｉｓｏｆＴｒａｎｓｆｅｒｏｆＩｎｄｕｃｅｄＲｅｓｉｓｔａｎｃｅｉｎＰｌａｎｔｓ＊ＸｕＷｅｎｌｉａｎ（徐文联），ＤｏｎｇＨａｎｓｏｎｇ（董汉松）＋，ＰａｎＪｕｎ（潘军）＋，ＪｉａｎｇＷｕｌｉｎｇ（蒋五玲），ＬｉｕＡｉｘｉｎ（刘爱...     

Photocatalytic degradation of trace-level of MicrocystinLR by nano-film of titanium dioxide

The occurrence of toxic water bloom of cyanobacte-ria algae, widely reported in eutrophic freshwater, hasbeen a serious pollution problem in recent years[1]. Mi-crocystins (MCs), the most common cyanobacteriatoxin with a cyclic heptapeptide structure (Fig…     

Ultrastructure of Hepatopancreas Cells of Macrobrachium nipponensis

ＵｌｔｒａｓｔｒｕｃｔｕｒｅｏｆＨｅｐａｔｏｐａｎｃｒｅａｓＣｅｌｓｏｆＭａｃｒｏｂｒａｃｈｉｕｍｎｉｐｐｏｎｅｎｓｉｓＷａｎｇＷｅｉｎａＷａｎｇＡｎｌｉＷｅｉＸｕａｎｈｕｉＧｕｏＭｉｎｇｓｈｅｎ（ＤｅｐａｒｔｍｅｎｔｏｆＢｉｏｌｏｇｙ，ＨｅｂｅｉＵ...     

Modeling Experiment of Break of Debris-Flow Dam

Glaciers are extensively developed in the southwest of Tibet and the moraines are widely distributed with large depth. Large-scale debris flows are often reported which blocked rivers and formed dams. In this paper, seven large debris flows in four valleys are discussed, among which five dams developed. 13 sets of experiments have been conducted in laboratory to simulate the formation and failure of the dam. Finally, a model of dam failure is proposed and a formula is established to calculate the flood discharge： Q=kbnnk/TB^-/LG^0.1,where bk is the outlet width of the dam at the original water level, hk the erosive depth, T the time from overflow to final state of failure, the average width of lake; L the length of the lake, and G the total potential energy of the water in the lake.     

The orientational preferences of backbones of proteins

The orientation between the backbone residues of proteins is defined based on the local configurations and the corresponding preferences are analyzed by statistics.It is found that all the residue pairs have some specific preferences of orientations.The statistical analysis is mainly concen-trated in the orientational distributions for two kinds of groupings of residues based on the hydrophobicity and secondary structural features.The statistics for such two types of groupings shows different orienta-tional preferences.It is found that for the former grouping the orientational preference is rather weak, while for the later a kind of strong orientational pref-erences.This suggests that the formation of local structures and of secondary structures are highly related to the orientational preferences.     

Dirichlet Form of Product of Variational Fractals

completed.□　Lemma2 .2　 Suppose H to be a Hilbert spacewith the inner product ( .,.) H and the relativenorm‖·‖H.If{xn}in H weakly converges tox,then there exists a subsequence {xni}satisfyingthatx - 1k ki=1xni H→ 0 ,　 k→∞ .　The proof can be found in Ref.[9].　 Lemma 2 .3　 Suppose W* to be a symmetricform on D[W],and W* [u]≤ W1[u]for all u∈D[W].If {un}∈D[W]in H converges W1- weak-ly to u,then it converges W* - weakly to u.　The proof can be found in Ref.[8].　 Lemma 2 .4…     

Variations of optic properties of water under action of static magnetic field

Effects of static magnetic field on optic properties of water are investigated by infrared spectroscopy, ultraviolet spectroscopy and X-ray diffraction, respectively. The ultraviolet spectroscopy experiments show the changes of properties of water under action of static magnetic field, in the region of 191 to 400 nm. The infrared experiment shows that the water exposed in a magnetic field had saturation and memory effects. The magnetized effects increased with increasing exposed time, but were weakened with increasing of time when the magnetic field was removed. In the X-ray experiment, the strength of diffraction increased also, after the water was exposed in magnetic field. Meanwhile, the shift of peak and increase of strength of X-ray diffraction of magnetized water added with nanoFe3O4 occurred as compared with that of pure water added with nano Fe3O4. This result suggests that the magnetized wa- ter has certain magnetism. Finally, these phenomena are simply explained by the molecular structure of water and the theory of magnetization of water.     

基于表情及姿态融合的情绪识别

情绪识别指在使计算机拥有能够感知和分析人类情绪和意图的能力,从而在娱乐、教育、医疗和公共安全等领域发挥作用.与直观的面部表情相比,身体姿态在情绪识别方面的作用总是被低估.针对公共空间个体人脸分辨率较低、表情识别精度不高的问题,提出了融合面部表情和身体姿态的情绪识别方法.首先,对视频数据进行预处理获得表情通道和姿态通道的输入序列;然后,使用深度学习的方法分别提取表情和姿态的情绪特征;最后,在决策层进行融合和分类.构建了基于视频的公共空间个体情绪数据集(SCU-FABE),在此基础上,结合姿态情绪识别数据增强,实现了公共空间个体情绪的有效识别.实验结果表明,表情和姿态情绪识别取得了94.698%和88.024%的平均识别率;融合情绪识别平均识别率为95.766%,有效融合了面部表情和身体姿态表达的情绪信息,在真实场景视频数据中具有良好的泛化能力和适用性.     

基于自主引擎的动漫游戏的设计与开发

游戏是动漫产业链中的一环。游戏引擎是游戏或一些交互式实时图像应用程序的核心组件,通过引擎可以制作出更多的游戏产品。本团队采用数据驱动的方法,制作游戏引擎。参照当前最新的动漫人物设计风格,进行绘制,采用cG图片制作越术绘制游戏中的动慢人物,卡通形象的表现更加意象化,给观赏者以美的享受。运用DirectX9的控件实现游戏的快速显示。     

人脸识别中图像特征的整体处理变换

人脸识别是一项应用广泛的技术,如何从人脸图像中提取出特征,利于后续和分类,比较处理任务,要考虑特征提取的有效性,以及适当降维,减小计算的复杂性。这些图像特征的整体处理变换受光照、表情以及附属物等影响,针对特定情况,出现了各类较成熟的处理方法,文章对这些方法进行归类总结,便于面对特殊任务时,选择或综合使用。     

“塑圣”杨惠之的雕塑艺术

杨惠之做的雕塑，从形式上看有两大特点：第一是“塑”，属于雕塑中的加法，他较少制作雕刻艺术，最突出成就也是泥塑艺术。第二是对雕塑进行着色妆彩。杨惠之的画技不输于吴道子，故而对雕塑妆彩后，显得更为生动逼真。他是唐代第一个把写实风格引入雕塑艺术的人，他的泥塑作品能较好的抓住人物的外貌特征与神情特点，这在当时被认为合乎相术，时人称为“古今绝技”。他成功地把张僧繇的绘画风格运用到雕塑方面，有“天下第一”的盛誉，赢得了与“画圣”吴道子同等地位的称谓——“塑圣”。     

基于面部表情和双流网络的驾驶员疲劳检测

提出了一种基于面部表情的驾驶员疲劳检测方法,该方法结合了传统特征提取和双流卷积神经网络.首先,对采集的驾驶员图片进行预处理,使用Dlib进行人脸检测以及人脸特征点定位.然后,根据人脸特征点获取人脸表情感兴趣区域以及嘴部区域,并分别提取Gabor特征和局部二值模式(local binary patterns,LBP)特征...     

基于MSVR和Arousal Valence情感模型的表情识别研究

通常的表情识别方法是对基本情绪进行表情分类,然而基本情绪对情感的表达能力有限。为了丰富情感的表达,研究采用Arousal-Valence情感模型,从心理学的角度对Arousal-Valence模型中Arousal维度和Valence维度之间的相关性进行了分析,并用统计学方法对AVEC2013,NVIE和Recola 3个数据集进行研究,实验结果表明它们之间具有正相关关系。为了利用Arousal-Valence 之间的相关性,采用多输出支持向量回归（multiple dimensional output support vector regression,MSVR）算法作为表情的训练和预测算法,并结合特征融合和决策融合提出了一种基于MSVR的两层融合表情识别方法。实验结果表明提出的表情识别方法比传统的方法能取得更好的识别效果。     

基于显著性区域的红外行为识别

视频特征的提取是行为识别方法中一个关键步骤,当视频场景中存在无关行人或者背景干扰时,提取的特征往往会包含较多的干扰信息,这将严重影响分类器的分类效果,进而影响行为识别准确率。针对这类问题,提出了一种基于显著性区域的红外行为识别方法。该方法对视频序列提取光流运动历史图(optical flow motion history image, OF-MHI)特征,获取视频序列的运动信息,此步骤旨在消除图像背景及静止目标干扰。利用类别激活映射(class activation map, CAM)方法进一步消除运动目标干扰,获得兴趣目标显著性区域,进而获得显著性区域特征图。输入卷积神经网络(convolutional neural network, CNN)提取最终特征,并采用支持向量机(support vector machine, SVM)获得识别结果。与传统方法相比,实验结果表明,该方法有效地提升了识别准确率。     

刚毅犷野的"山"文化地域情结——论"东北作家群"的创作

东北现代作家的创作虽各具特色,却显示出共同的“山“文化情结,具体表现在三方面:阳刚坚韧的“山文化“意蕴;人物强悍朴野的人生形态;“山“性特质的粗犷、雄放的艺术风格等.     

一种深度自编码器面部表情识别新方法

为解决面部表情特征维度高的问题,该文提出了一种基于深度学习自编码器的表情识别新方法,该方法利用深度自编码器在多层隐层上进行特征选择,能够在较低维度上表示高维度的面部特征.首先采用定向梯度直方图从面部表情的选定区域提取特征,然后在多个层面上使用深度自编码器,得到最优编码特征,降低特征维度,最后使用支持向量机模型对降维特征进行分类.实验表明,与其他现有特征选择和降维技术相比,该文方法提取的特征优于其他特征,并能够有效实现面部表情识别.     

基于降维的堆积降噪自动编码机的表情识别方法

堆积降噪自动编码机是一种典型的深度学习模型,它能够刻画数据丰富的内在信息,具有较强的特征学习能力。基于主成分分析（principal component analysis,PCA）技术和堆积降噪自动编码机（stacked denoising autoen-coders,SDAE）模型,提出一种新的表情识别算法PCA＋SDAE。该算法对人脸图片进行裁剪及归一化等预处理,采用主成分分析技术对人脸特征进行线性降维,再利用堆积降噪自动编码机逐层进行特征学习并同时实现对人脸表情数据的非线性降维,可以得到更好的、维度更低的表情特征,并据此进行表情分类。对PCA＋SDAE算法的仿真测试实验结果表明,其综合性能比其他的基于深度学习模型的表情识别方法更好,同时与传统的非深度学习表情识别方法相比,它具有更高的表情识别正确率。