Social Media and Its Impact on Chinese’s Women Body Image:The Effects of Body Comparison and Motivation for Social Media Use

Social media ingrain in the lives of countless individuals in the world.With adolescents,particularly young women being the primary users of social media platforms,the question is whether social media use has an impact on their self-esteem,body dissatisfaction,body image,and self-concept.In social media,people can easily find many“perfect”body photos,and people in real life tend to believe that is the“ideal”body and develop negative influence and views on their own body.This exploratory study will conduct through the hypothesis that women develop negative body image after viewing the perfect body images promoted by social media with further experiments.

Inter-comparison of the Infrared Channels of the Meteorological Imager Onboard COMS and Hyperspectral IASI Data

The successful launch and commissioning of the first geostationary meteorological satellite of Korea has the potential to enhance earth observation capability over the Asia Pacific region. Although the specifications of the payload, the mete- orological imager （MI）, have been verified during both ground and in-orbit tests, there is the possibility of variation and/or degradation of data quality due to many different reasons, such as the accumulation of contaminants, the aging of instrument components, and unexpected external disturbance. Thus, for better utilization of MI data, it is imperative to continuously monitor and maintain the data quality. As a part of such activity, this study presents an inter-calibration, based on the Global Space-based Inter-Calibration System （GSICS）, between the MI data and the high quality hyperspectral data from the In- frared Atmospheric Sounding Interferometer （IASI） of the Metop-A satellite. Both sets of data, acquired for three years from April 2011 to March 2014, are processed to prepare the matchup dataset, which is spatially collocated, temporally concurrent, angularly coincident, and spectrally comparable. The results show that the MI data are stable within the specifications and show no significant degradation during the study period. However, the water vapor channel shows a rather large bias value of -0.77 K, with a root-mean-square difference （RMSD） of around 1.1 K, which is thought to be due to the shift in the spectral response function. The shortwave channel shows a maximum RMSD of around 1.39 K, mainly due to the coarse digitization at the lower temperature. The inter-comparison results are re-checked through a sensitivity analysis with different sets of threshold values used for the matchup dataset. Based on this, we confirm that the overall quality of the MI data meets the user requirements and maintains the expected performance, although the water vapor channel requires further investigation.

基于特征对比的循环生成对抗网络图像风格转换研究

无监督图像到图像转换任务是在非配对训练数据的情况下学习源域图像到目标域图像的转换.但是,图像风格转换任务依然面临着图像内容丢失、模型坍塌等现象.为了解决上述问题,提出了一种局部特征对比来保持图像内容,通过特征提取器获得多层图像深层特征,使得图像编码器学习到高级语义信息,获得信息更加丰富的图像特征.同时,增加局部特征对比损失来引导特征提取器学习到有利于图像内容生成的特征.实验结果表明,在大多数情况下,所提方法在FID和KID分数方面优于之前的方法,图像生成质量有一定的提升.

典型场景彩色夜视融合图像质量主观评价实验

评价特定场景下红外和可见光(微光)彩色融合图像质量的研究对彩色夜视融合技术和嵌入式系统开发具有重要作用。由于主观评价实验能够得到与人眼感受一致的评价结果因而成为研究的热点。因此,该文针对海天、森林、城镇、乡村和特殊条件五个典型应用场景,提出基于动态参考的多刺激比较主观评价法,开展了大规模典型场景彩色融合图像主观评价实验,建立了包含1648幅彩色融合图像的质量主观评价数据库;此外,提出基于评价实验特性的模糊综合评判方法用于分析不同融合算法的场景适用性。实验数据一致性分析中,该主观评价法具有较高的皮尔逊相关系数,表明本文构建的数据集具有良好的有效性与可靠性。该文结果可为进一步开展夜视融合图像质量评价研究提供实验基础和理论依据。

肾脏相位衬度两种成像技术的比较及分析

目的:分别采用衍射增强成像(DEI)和同轴成像(IOXI)技术进行小鼠肾脏组织的相位衬度成像研究,旨在评估两种成像方法的特性和效果。方法:分别在北京同步辐射装置(BSRF)4W1A及上海光源(SSRF)BL13W1上进行实验(分别实施DEI和IOXI)。经福尔马林溶液固定的不同月龄(10、18、24月龄)小鼠的肾脏标本置于成像台进行成像,以图像衬度及分辨率等指标评估电荷耦合器件(CCD)获得的图像,具体评估指标包括显示的图像形态结构、衬度、分辨率等参数。结果:DEI技术获得的图像主要是显示血管结构。而IOXI技术获得的图像包含更多的细节,除了血管结构外,还能清晰显示包括肾小球在内的小鼠肾脏的微细结构,尤其在高分辨成像下,通过比较不同月龄的小鼠肾脏,初步获得小鼠老化的过程:首先从皮质肾小球的分布、走行及数量发生变化,到后期乃至终末期累及髓质,直小管及血管结构紊乱、皱缩以及肾脏呈硬化萎缩改变。结论:DEI和IOXI技术均能较好显示小鼠的肾脏血管结构,但IOXI技术更能显示包括肾小球在内的细微结构,这对未来研究肾脏病变乃至其余实质脏器的研究具有更加重要的价值。

基于MFA-UNet的铜制螺纹零件外表面缺陷检测

针对工业现场铜制螺纹零件外表面缺陷检测效率低和精度差的问题,提出一种融合多尺度特征与注意力的U型网络(Multi-Scale Features and Attention Fused UNet,MFA-UNet)模型的铜制螺纹零件外表面缺陷检测算法。首先,设计一种双路下采样模块,并行使用普通卷积和空洞卷积提升模型的特征提取能力;其次,在跳跃连接部分加入复合空间注意力模块,增强分割模型对空间信息和边缘信息的提取能力;然后,在上采样过程中加入压缩激励模块,提高模型的表达能力和特征选择能力;最后,提出一种相似度对比算法,比较分割图像和掩码图像的相似度,得到缺陷检测结果。实验表明,所提分割模型在铜制螺纹零件缺陷检测数据集上PA指标达到94.81%,MIoU指标达到93.78%;所提算法缺陷检测准确率达到98.9%,满足工业现场的使用需求。

研究型大学的形象建构:汉英高校官网语篇对比研究

形象话语研究面对两个基本问题。首先是如何建立综合性的分析框架,充分呈现语篇在形象建构中的多种表现。其次是如何从表意需求和语境限制的角度解读语篇的复杂表现。本研究尝试回答这两个问题,建立可操作的多要素框架,明确形象话语研究在语篇层面的分析路径,进而对语篇表现进行解读。为使研究更聚焦,本文以研究型大学官网为研究对象,对比汉英语篇面对相同预设形象时的不同表现,探索语篇层面的种种表现如何受到各种因素的制约。

Cultural Image of Animal Words

This paper,after introducing the definition and forms of cultural image,focuses on the detailed comparison and analysis of cultural image of animal words both in English and in Chinese from four aspects,that is,same animal word,same cultural image;same animal word,different cultural images;different animal words,same cultural image;different animal words,different cultural images.

半夏法象药理考辨

半夏是临床上一味常用中药。从法象药理角度出发,结合半夏的形、色、气、味、质、所生之地、所成之时等特性,分析半夏的功效,为加深人们对半夏的理解,丰富半夏的临床应用提供新思路。

基于图像处理的CAD图纸比对算法

为保证施工图纸的准确性和完整性,避免工程质量问题和安全隐患,提出了一种基于图像处理的CAD图纸比对算法,可以快速地发现两幅CAD图纸之间的差异,算法的主要步骤是:将CAD图纸转换为PDF文件,进行边缘切割和像素级对齐,利用高斯分布抑制噪声,计算像素值的差异,通过腐蚀和膨胀操作消除误检或漏检,最后在原始CAD图纸上标注出不同处,并对多个不同标注进行合并处理。实验结果表明该算法的有效性和可行性,对设计工作有着重要的辅助作用。

近代居住型历史街区旅游意象对比研究

以青岛劈柴院、上海田子坊和广州永庆坊为例,对比游客对三个近代居住型历史街区的旅游意象。在爬取三个典型街区的网络评论文本的基础上,采用ROST CM6工具对街区的个性意象、结构意象和情感意象进行对比。结果表明:三个街区的个性意象和结构意象呈现出明显的地域特征,但是劈柴院的正面情感意象低于田子坊和永庆坊,且消极情感意象的主题共性大于个性。根据三个典型街区的旅游意象特征,总结出三个街区的旅游意象规律,为其他同类型街区的保护和更新提供参考与借鉴。

基于人工智能的卷烟真伪检测方法及系统研究应用

卷烟因其高利润,一直是假冒商品的重灾区。为了识别真假卷烟,现有的卷烟通过各种方式进行防伪验证,包括在外包装上印制条形码、防伪识别码、二维码等;然而对于一些制作精良、仿冒程度较高的卷烟,仅仅通过以上的防伪验证方法无法准确识别假冒卷烟。且传统检测方法一般通过人工检测识别,受限制于检测人员的经验水平,该方式识别效率和准确度较低。为克服相关技术中存在的问题,本次研究提供一种用于捕捉目标对象的运动的方法、装置及电子设备,用于智能检测识别卷烟真伪,减少人工检测的失误,提高检测效率。卷烟真伪检测可以减少假冒伪劣产品的存在,使市场竞争更加公平,为合法生产商提供公正的竞争环境,推动行业的良性发展。

AI智能识别在运维工作中的应用探索

针对基站维护工作中的日常巡检、资源资产盘点耗时费力的问题,提出了借助AI智能算法及大数据分析实现远程智能巡检、资源资产盘点的设想,并通过技术探讨、现场实践、效果验证等多环节论证,实现了既定的目标,从而为智能运维探索出了新的思路与创新手段。

Image of Landscapes in Ancient Water Towns——Case Study on Zhouzhuang and Tongli of Jiangsu Province

Researchers in several disciplines and fields agree that the image establishing has both perceptual and affecfive evaluations. The paper comparatively analyzes the image of landscapes in ancient water towns held by 1619 tourists after the investigations of Zbouzhuang and Tongli of Jiangsu Province. Based on the elements of the image of urban landscapes, the perceptual/cognitive image of tourist landscapes in water towns is developed including path, node, landmark, important courtyard, district and edge. Particularly the important courtyard plays the great role on the perceptive image of tourists, however, the perceptual/cognitive images of the district and the edge are obviously weak. Meanwhile, the finding showed that the affective images of tourist landscapes in Zhonzhuang differ with those of Tongli by the method of paired comparison. The main reason is that the affective images are influenced by the impressive scenery spots. Furthermore, the commercialization of streets and pollution of rivers are easy to be functioned negatively.

Review on the Methods of Automatic Liver Segmentation from Abdominal Images

Automatic liver segmentation from abdominal images is challenging on the aspects of segmentation accuracy, automation and robustness. There exist many methods of liver segmentation and ways of categorisingthem. In this paper, we present a new way of summarizing the latest achievements in automatic liver segmentation. We categorise a segmentation method according to the image feature it works on, therefore better summarising the performance of each category and leading to finding an optimal solution for a particular segmentation task. All the methods of liver segmentation are categorized into three main classes including gray level based method, structure based method and texture based method. In each class, the latest advance is reviewed with summary comments on the advantages and drawbacks of each discussed approach. Performance comparisons among the classes are given along with the remarks on the problems existed and possible solutions. In conclusion, we point out that liver segmentation is still an open issue and the tendency is that multiple methods will be employed together to achieve better segmentation performance.

Comparison of unenhanced magnetic resonance imaging and ultrasound in detecting very small hepatocellular carcinoma

BACKGROUND In hepatocellular carcinoma(HCC),detection and treatment prior to growth beyond 2 cm are important as a larger tumor size is more frequently associated with microvascular invasion and/or satellites.In the surveillance of very small HCC nodules(≤2 cm in maximum diameter,Barcelona clinical stage 0),we demonstrated that the tumor markers alpha-fetoprotein and PIVKA-Ⅱare not so useful.Therefore,we must survey with imaging modalities.The superiority of magnetic resonance imaging(MRI)over ultrasound(US)to detect HCC was confirmed in many studies.Although enhanced MRI is now performed to accurately diagnose HCC,in conventional clinical practice for HCC surveillance in liver diseases,unenhanced MRI is widely performed throughout the world.While,MRI has made marked improvements in recent years.AIM To make a comparison of unenhanced MRI and US in detecting very small HCC that was examined in the last ten years in patients in whom MRI and US examinations were performed nearly simultaneously.METHODS In 394 patients with very small HCC nodules,those who underwent MRI and US at nearly the same time(on the same day whenever possible or at least within 14 days of one another)at the first diagnosis of HCC were selected.The detection rate of HCC with unenhanced MRI was investigated and compared with that of unenhanced US.RESULTS The sensitivity of unenhanced MRI for detecting very small HCC was 95.1%(97/102,95%confidence interval:90.9-99.3)and that of unenhanced US was 69.6%(71/102,95%confidence interval:60.7-78.5).The sensitivity of unenhanced MRI for detecting very small HCC was significantly higher than that of unenhanced US(P<0.001).Regarding the location of HCC in the liver in patients in whom detection by US was unsuccessful,S7-8 was identified in 51.7%.CONCLUSION Currently,unenhanced MRI is a very useful tool for the surveillance of very small HCC in conventional clinical follow-up practice.

Multi-core based parallel computing technique for content-based image retrieval

In this paper, we propose a parallel computing technique for content-based image retrieval （CBIR） system. This technique is mainly used for single node with multi-core processor, which is different from those based on cluster or network computing architecture. Due to its specific applications （such as medical image processing） and the harsh terms of hardware resource requirement, the CBIR system has been prevented from being widely used. With the increasing volume of the image database, the widespread use of multi-core processors, and the requirement of the retrieval accuracy and speed, we need to achieve a retrieval strategy which is based on multi-core processor to make the retrieval faster and more convenient than before. Experimental results demonstrate that this parallel architecture can significantly improve the performance of retrieval system. In addition, we also propose an efficient parallel technique with the combinations of the cluster and the multi-core techniques, which is supposed to gear to the new trend of the cloud computing.

A Comparative Image Study of two Love Songs——The Sun Rising by John Donne and The Love Song of J.Alfred Prufrock by T.S Eliot

The Sun Rising is one of the most famous metaphysical poems of John Donne.The Love Song of J.Alfred Prufrock is known as the first Modernist poem of T.S Eliot.This paper mainly aims to analyze the strikingly unconventional images use in the two poems,and make comments on their effect on expressing the poet emotions.

Analysis and Evaluation of IKONOS Image Fusion Algorithm Based on Land Cover Classification

Different fusion algorithm has its own advantages and limitations,so it is very difficult to simply evaluate the good points and bad points of the fusion algorithm. Whether an algorithm was selected to fuse object images was also depended upon the sensor types and special research purposes. Firstly,five fusion methods,i. e. IHS,Brovey,PCA,SFIM and Gram-Schmidt,were briefly described in the paper. And then visual judgment and quantitative statistical parameters were used to assess the five algorithms. Finally,in order to determine which one is the best suitable fusion method for land cover classification of IKONOS image,the maximum likelihood classification( MLC) was applied using the above five fusion images. The results showed that the fusion effect of SFIM transform and Gram-Schmidt transform were better than the other three image fusion methods in spatial details improvement and spectral information fidelity,and Gram-Schmidt technique was superior to SFIM transform in the aspect of expressing image details. The classification accuracy of the fused image using Gram-Schmidt and SFIM algorithms was higher than that of the other three image fusion methods,and the overall accuracy was greater than 98%. The IHS-fused image classification accuracy was the lowest,the overall accuracy and kappa coefficient were 83. 14% and 0. 76,respectively. Thus the IKONOS fusion images obtained by the Gram-Schmidt and SFIM were better for improving the land cover classification accuracy.

IMAGING OF NON-GLANDULAR SUPERFICIAL METASTASES: A COMPARISON OF XERORADIOGRAPHY, ULTRASONO-GRAPHY AND COMPUTED TOMOGRAPHY

Between January 1985 and July 1987, 1,622 cancer patients were evaluated to outline the possible applications and limits of various investigative techniques for evaluating metastases. Seventy-three cases with superficial metastases of the dermal-hypodermal (59) layers, of the muscles (11) and of other target organs (3) were included in the study.Although non-glandular superficial metastases are a relatively rare occurrence, diagnostic imaging techniques are indicated for evaluating their extent and anatomical connections. Secondary neoplasms were studied using the imaging techniques of sono-graphy, computed tomography and xeroradiography.The diagnostic reliability of these three techniques was evaluated, taking into account their ability to determine the extent of metastases and of assessing malignancy.Sonography is considered as a satisfactory screening technique, but CT is an even better tool for evaluating the extent and anatomical connections of such lesions. Xeroradiography has been made obsolete by the introduction of the other two techniques.