“注提”教学中的整体性教法应用

在小学低段，“注提”的“整体——部分——整体”教学法在语文教学中的运用，能够促进学生汉语拼音、阅读、说话写话、写字的学习，有利于语文教学的整体发展，使之构成一个有机整体，能够有助于少年儿童语言、思维能力的整体发展。

新疆少数民族汉语教学现状及“注·提”应用之前需关注和解决的问题

"注·提"模式在汉语教学,尤其在汉语作为第二语言教学领域具有极深的发展潜力和广阔的发展前景,对新疆少数民族汉语教学具有重要的指导意义和实践价值。本文主要从宏观上介绍目前新疆少数民族汉语教学的现状及存在的问题,并探讨"注·提"模式在应用于新疆少数民族汉语教学之前需关注和解决的问题。

Automatic road extraction framework based on codec network

Road extraction based on deep learning is one of hot spots of semantic segmentation in the past decade.In this work,we proposed a framework based on codec network for automatic road extraction from remote sensing images.Firstly,a pre-trained ResNet34 was migrated to U-Net and its encoding structure was replaced to deepen the number of network layers,which reduces the error rate of road segmentation and the loss of details.Secondly,dilated convolution was used to connect the encoder and the decoder of network to expand the receptive field and retain more low-dimensional information of the image.Afterwards,the channel attention mechanism was used to select the information of the feature image obtained by up-sampling of the encoder,the weights of target features were optimized to enhance the features of target region and suppress the features of background and noise regions,and thus the feature extraction effect of the remote sensing image with complex background was optimized.Finally,an adaptive sigmoid loss function was proposed,which optimizes the imbalance between the road and the background,and makes the model reach the optimal solution.Experimental results show that compared with several semantic segmentation networks,the proposed method can greatly reduce the error rate of road segmentation and effectively improve the accuracy of road extraction from remote sensing images.

谈“注·提”实验中年级阅读能力的提高

近几年,在2011版《小学语文课程标准》的背景下,结合陶行知教育理论,笔者开展了小学语文阅读学习的研究实验,全校掀起了"学陶热",当我们重新走进先生,重温先生的"教育"理论时,收益匪浅。阅读教学对完成小学语文的教学目的,培养学生识字,看书,作文的能力,具有重要意义。

Two Types of Novel Feedstock Injection Structures of the FCC Riser Reactor

Based on the analysis of flow characteristics of the FCC riser feedstock injection zone, two novel feedstock injection structures are put forward. By investigating three flow parameters in the feedstock injection zone under the three different structures (the traditional and the novel No. 1, No. 2 structures): the local density, the particle backmixng ratio, and the jet eigen-concentration, the flow feature under three structures were obtained. The experimental results demonstrate that the flow features under both proposed structures are obviously improved comparing with those under the traditional structure. Especially, the performance of the deflector-structured No. 2 is more desirable than that of No. 1.

User Behaviors Analysis in Website Identification Registration

Nowadays, an increasing number of web applications require identification registration. However, the behavior of website registration has not ever been thoroughly studied. We use the database provided by the Chinese Software Develop Net (CSDN) to provide a complete perspective on this research point. We concentrate on the following three aspects: complexity, correlation, and preference. From these analyses, we draw the following conclusions: firstly, a considerable number of users have not realized the importance of identification and are using very simple identifications that can be attacked very easily. Secondly, there is a strong complexity correlation among the three parts of identification. Thirdly, the top three passwords that users like are 123456789, 12345678 and 11111111, and the top three email providers that they prefer are NETEASE, qq and sina. Further, we provide some suggestions to improve the quality of user passwords.

Support vector machine with mixture of kernels for automatic image annotation

Automatic image annotation(AIA)has become an important and challenging problem in computer vision due to the existence of semantic gap.In this paper,a novel support vector machine with mixture of kernels(SVM-MK)for automatic image annotation is proposed.On one hand,the combined global and local block-based image features are extracted in order to reflect the intrinsic content of images as complete as possible.On the other hand,SVM-MK is constructed to shoot for better annotating performance.Experimental results on Corel dataset show that the proposed image feature representation method as well as automatic image annotation classifier,SVM-MK,can achieve higher annotating accuracy than SVM with any single kernel and mi-SVM for semantic image annotation.

Holistic quality evaluation of Panax notoginseng extract and injection using an UPLC-QTOF-MS^E based metabolomics approach

In the present study, we established an UPLC-QTOF-MSE based metabolomic approach in order to evaluate the holistic qualities and compare the quality difference by finding characteristic components of Panax notoginseng extracts （PNE） and Xuesaitong （XST） injection samples from different manufacturers. The data were processed through unsupervised principal component analysis （PCA） and supervised orthogonal partial least squared discrimination analysis （OPLS-DA） to compare the quality differences. Two-dimensional PCA score plots showed a tendency to separate the XST injections and extracts, and most XST injection samples were clearly clustered into two groups. Especially, the injections from He and YB companies were distinguished into two groups. In addition, only injection samples of Hu company were near the cluster of PNE. To explore the potential chemical components contributing most to the differences between XST injection samples from different manufacturers and PNE, an S-plot was constructed following the OPLS-DA. Ginsenoside Rd, ginsenoside Rgl, ginsenoside Re, ginsenoside Rbl, 20（S）-ginsenoside Rhl, gypenoside VII, ginsenoside Rg2, ginsenoside Rh4, ginsenoside Rkl or Rgs, notoginsenoside Fc, 20（R）-ginsenoside Rg3, ginsenoside F2 and protopanaxadiol were recognized as characteristic chemical markers that contributed most to reflect the difference between XST injections and PNE. Ginsenoside Rd, ginsenoside Rgl, ginsenoside Re, ginsenoside Rbl and gypenoside VII were revealed as index components contributing most to the differences of PNE and XST injections, and quantitative analysis of these components could ensure the consistent quality of XST injections. Based on the fact that the injections should be standardized with the characteristic components as quality control chemical markers, it is most important to keep the quality of extracts of raw materials stable and reliable.

Neuroprotective effect of Naomaitong extract following focal cerebral ischemia induced by middle cerebral artery occlusion in rats

OBJECTIVE: To examine the neuroprotective effect of extract from Naomaitong following focal cerebral ischemia reperfusion induced by occlusion of middle cerebral artery(MCA), and to determine the biochemical alterations in urine using proton nuclear magnetic resonance spectroscopy and principal component analysis.METHODS: Wistar rats were randomly assigned tothree groups: sham-operated group, MCA focal cerebral ischemia reperfusion model group, and active extract of Naomaitong treatment group. The model was established by an improved MCA occlusion(MCAO) method. Sham-operated rats received the same surgical procedure, but without occlusion. The Naomaitong treatment group were treated with active extract from Naomaitong at a dose of3.0 g·kg-·1d-1. Brain tissues and urine samples were collected from all groups for histopathological assessment and proton nuclear magnetic resonance spectroscopy-based metabonomics, respectively.RESULTS: Hematoxylin-eosin and triphenyl tetrazolium chloride staining of brain tissues showed a significant decrease in cerebral infarction area in the Naomaitong group. In model rats, metabonomic analyses showed increased urinary levels of glutamate, taurine, trimetlylamine oxide, betaine, and glycine, and reduced levels of creatinine and creatine.Naomaitong regulated the metabolic changes by acting on multiple metabolic pathways, including glycine metabolism, glutaminolysis, transmethylation metabolism and creatinine metabolism.CONCLUSION: These data demonstrate that extract from Naomaitong is neuroprotective against focal cerebral ischemia induced by MCAO, and can alleviate biochemical changes in urinary metabolism. Metabonomics may be a useful approach for assessing the biochemical mechanisms underlying the neuroprotective actions of extract from Naomaitong.