化痰降气胶囊对慢性阻塞性肺疾病模型大鼠影像学的影响

目的:探讨慢性阻塞性肺疾病(COPD)模型大鼠及化痰降气胶囊治疗后影像学的变化.方法:采用气管内注入脂多糖加熏香烟复合刺激法复制大鼠COPD模型.治疗组4周后给药,6周后各组摄片.结果:呼吸频率各组相比,差异有显著性(P<0.05或P<0.01);各组横膈前肋、横膈后肋、肋间隙积分比较,差异有显著性(P<0.01);横膈前肋积分,模型组与治疗组相比,差异有显著性(P<0.05).结论:COPD大鼠有明显的肺气肿影像学表现,化痰降气胶囊对COPD大鼠的影像学有较为明显的改善作用.     

我国区域协调发展中的地方立法协调:样本探索及发展空间

区域协调发展是我国的国家战略。近年来,在党的领导下,我国区域协调发展中的地方立法协调实践探索,呈现出京津冀、珠三角、长三角等几种典型样本,并各具特色及示范价值。进入新时代后,区域地方立法协调面临诸多国内无先例可循的新问题。根据党的十九届四中全会提出的“构建区域协调发展新机制”等时代新要求,需要重点思考我国区域立法协调的发展空间、聚焦领域和可能的溢出效应等理论难点。从已有的样本探索和发展趋势看,区域内跨省市的大气、水流等生态环境共保共治问题,区域市场一体化及区域营商环境共建问题,区域一体化示范区共建问题等,将是今后我国区域地方立法协调的侧重点和聚焦点。     

在完善市场经济体制中国有企业党的领导面临的重大新课题

在完善市场经济体制的改革中,国有企业要把握住体制改革的大方向和大趋势,坚定不移地坚持《决定》关于坚持公有制为主体、国有经济为主导、多种所有制经济共同发展的精神,全面理解《决定》关于发挥国有经济主导作用的含义,增强国有经济对国民经济的控制力,正确认识《决定》关于混合所有股份制是公有制主要实现形式的论断,逐步推动国有企业的改革,认真研究《决定》关于通过完善国有资产管理体制来推动国有企业改革的思路。在完善国有企业法人治理结构中坚持党委的政治核心地位。在新世纪加快推进现代化建设进程中企业党的领导干部必须具有现代化的思维方式。     

Multi-resolution image fusion technique and its application to forensic science

Image fusion is a process of combining two or more images into an image. It can extract features from source images, and provide more information than one image can. Multi-resolution analysis plays an important role in image processing, it provides a technique to decompose an image and extract information from coarse to fine scales. In some practical forensic examinations (such as the cartridge image check), we cannot obtain all information from just one image; on the contrary, we need information from images with difference light sources (or light ways). In this paper, we apply an image fusion method based on multi-resolution analysis to forensic science. Synthetic and real images (such as images from closed-up photography and flash photography) are used to show the capability of the multi-resolution image fusion technique.     

现代公司的变革：管理与领导

组织变革是战后组织研究领域的热门话题,而组织变革理论得到运用最多的是在企业界。众多成功公司,将成功的原因归结于公司变革。但事实上,变革也可能给公司带来失败。公司的生机来自于对公司管理的变革,公司变革的效益和可持续健康发展来自于对公司变革的管理和领导。可以按照“5W1H”和管理的思维进行变革的分析、设计和实施。变革中,领导应当是成功的核心因素。     

疾病状态中的贵族形象——先秦两汉文学的一个透视点

先秦两汉文学作品中出现的处于疾病状态的贵族形象,有理智型与迷狂型、反思型与放任型、稳定型与多变型、刚愎自用型和委运乘化型的差异。具体到每位贵族成员,有时又往往兼有多种属性,显示出生命意识的复杂性和人物的多重性格。制约贵族成员疾病状态的有本身的生理因素,也有心理因素,还有外界的影响。     

Automated Texture Recognition of Quartz Sand Grains for Forensic Applications*

Quartz sand surface texture analysis has been automated for the first time for forensic application. The derived Basic Image Features (BIFs) provide computer-generated texture recognition from preexisting data sets. The technique was applied to two distinct classification problems; first, the ability of the system to discriminate between (quartz) sand grains with upturned plate features (indicative of eolian, global sand sea environments) and grains that do not exhibit these features. A success rate of grain classification of 98.8% was achieved. Second, to test the ability of the computer recognition system to identify specific energy levels of formation of the upturned plate surface texture features. Such recognition ability has to date been beyond manual geological interpretation. The discrimination performance was enhanced to an exact classification success rate of 81%. The enhanced potential for routine forensic investigation of the provenance of common quartz sand is indicated.     

韩国人对华负面认知与中国对韩公共外交途径

中韩两国关系自建交以来在许多方面取得了飞速发展,但近些年,两国关系由"暖"变"冷",原因是多方面的,其中韩国人对中国形象的负面认知,产生了很大的负面影响。对此,我们不能视而不见或避而不谈,而应积极加强对韩公共外交,促进两国友好关系顺利发展。韩国是中国的重要邻国,中韩两国关系良好发展的意义不仅局限在两国关系上,它对于改善东北亚地区的安全局势也具有不可忽视的作用。本文主要就韩国人对中国形象的负面认知及其对中韩关系所起的负面影响作用以及应对之策,做简要分析和探讨。     

正确处理党的领导与依法独立办案的关系

坚持党的领导是贯穿习近平法治思想的一条主线。正确处理党的领导与依法独立办案的关系,既是贯彻落实习近平法治思想的重要内容,也是司法理论与实践必须回答的重大问题。中国共产党对司法工作的领导具有坚实的历史基础、法理基础和宪法依据。党的领导是依法独立办案的根本保障,坚持依法独立办案本身就是体现党的领导。正确把握党的领导与依法独立办案的关系,必须首先弄清楚党的领导是指党中央的集中统一领导,地方党委对司法工作的领导主要是管方向、管政策、管原则、管干部。各级司法机关党组织必须确保党的领导在司法机关内部得到贯彻落实,依规依法管人管事管案,发挥整体性的引领、管理、监督、保障作用,确保法律统一正确实施。     

Shoeprint image retrieval and crime scene shoeprint image linking by using convolutional neural network and normalized cross correlation

A shoeprint image retrieval process aims to identify and match images of shoeprints found at crime scenes with shoeprint images from a known reference database. It is a challenging problem in the forensic discipline of footwear analysis because a shoeprint found at the crime scene is often imperfect. Recovered shoeprints may be partial, distorted, left on surfaces that do not mark easily, or perhaps come from shoes that do not transfer marks easily. In this study, we present a shoeprint retrieval method by using a convolutional neural network (CNN) and normalized cross-correlation (NCC). A pre-trained CNN was used to extract features from the pre-processed shoeprint images. We then employed NCC to compute a similarity score based on the extracted image features. We achieved a retrieval accuracy of 82% in our experiments, where a “successful” retrieval means that the ground truth image was returned in the top 1% of returned images. We also extend our shoeprint retrieval method to the problem of linking shoeprints recovered from crime scenes. This new method can provide a linkage between two crime scenes if the two recovered shoeprints originated from the same shoe. This new method achieved a retrieval accuracy of 88.99% in the top 20% of returned images.