编辑主体意识的特征与形成

编辑主体意识主要特征表现为能动性,创造性,选择性和包容性,编辑主体意识的形成过程就是编辑的知识积累和形象积累的过程,而良好的外部环境是编辑主体意识形成的可靠保证。     

论肌理在装饰设计中的应用

肌理作为一种具有特质美感的艺术形式,已被广泛应用于装饰设计领域,其独特的艺术魅力越来越受到人们的重视和青睐,并成为设计者们创作表达自我情感的一种重要方式。肌理的存在依托于材料,从视觉和触觉两方面带给人们艺术享受,不同的肌理形式传递着不同的审美情感和心理感知。本文主旨意在探索感知装饰材料的肌理魅力,及其在装饰设计中恰当、灵活的运用,以展现肌理的内质美。     

余宏模汉语传统诗歌创作论

余宏模作为贵州毕节余氏彝族土司后代、学者型诗人,秉承家族先贤传统,业余时间坚持不懈地写作传统诗歌,并取得了突出成就,产生了较大影响。余宏模诗歌分为五类,主要特色是：丰富的生活内涵与积极的人生态度;厚实的文化底蕴和突出的学理特色;浓郁的民族风情及独特的地域呈现;华美与质朴并重的语言风格;不以律害意的诗学倾向。     

“功利性阅读”的概念探析

当今,许多学者对＂功利性阅读＂的概念存在主观性和片面性的理解,主要原因是没有将其内涵的要素,如利益、好处、需要、价值、特征、评价标准做深入的剖析,以至于得出＂功利性阅读＂具有严重危害性的结论。为厘清这一概念的含义,有必要对其做进一步的探析与梳理。     

The role of the professional association: A grounded theory study of Electronic Medical Records usage in Ontario,Canada

Many professionals utilize computer systems to assist them with the exercise of their skilled knowledge. These systems are designed with many core features, but their adoption is heterogeneous, with some users adopting more features than others. In this qualitative study, the empirical context is the use of Electronic Medical Records (EMRs) by primary care physicians in Ontario, Canada. We have collected data from interviews, and by using the methodology of grounded theory, we theorize that guidance from the professional association to which the members belong is able to positively influence its members to adopt more core features. Although professionals operate with a high degree of autonomy, their professional association governs their actions. By setting standards and offering education, the association is able to guide its members to make more enhanced use of core features. The theoretical contribution is the conceptualization of a higher order construct, Professional Association Guidance.     

Using 3D digital models for the virtual restoration of polychrome in interesting cultural sites

In most cases, the polychrome paintings that decorated heritage buildings no longer exist or are reduced to mere remnants. These facts decontextualize the sites in their historical and artistic evolution, distort the intention under which they were conceived, and hamper their accomplishment. Current recovery methods are restricted to the stabilization of the remains in their present status, requiring a lot of completely manual work that is expensive and almost unrelated to the use of new technologies. Three-dimensional digitalization and modelling is proved to be the basis for the virtual recovery of paintings in a significant edifice. To do so, an innovative methodology is presented that allows the 3D geometric information of a site (captured using a laser scanner) to be combined with specially designed 2D artistic images. The resulting 3D digital models can then be focused, with high efficiency projectors, on the equivalent area of the original site, and also used as raw material to compose a video-projection without perspective effects to emulate, with due rigour, the primitive appearance, its evolution along time, the effects of the deterioration, or other interesting aspects. The results obtained at Sta. María de Mave (Palencia, Spain) are presented, supporting the potential of this new methodology not only as a scientific way to discuss possible restoration hypotheses with experts or as a didactic tool for narrating the historical evolution of a monument, but also as a spectacular show for tourists.     

基于TPI60系统构建汽车职业技能培训特色数据库

本文论述了基于TPI60系统构建汽车职业技能培训特色数据库的设计流程、应用实现,以及遇到的相关问题和解决方法.     

基于支持向量机的诊断方法研究

根据支持向量机原理,对线性可分与线性不可分两种情况分别建立了分类模型,模型的求解转化为一个二次规划问题,在选用径向基核函数的参数时运用网格搜索的方法进行选取最优参数。在应用到乳房肿瘤的医疗诊断中,准确率为93.00%,较以前的方法有了明显的提高。     

新工科建设背景下的高校科技智库发展路径探索

首先结合我国经济发展新旧动能转换以及国内外高等工程教育发展情况,分析高等工程教育改革的内在动力,简述新工科的提出与发展现状,梳理新工科建设过程中面临的主要问题。随后,概述智库的社会职能与特征,分析认为高校科技智库在新工科建设中的优势特色主要在于精准把握方向、聚焦顶层设计、紧贴企业主体。最后,基于高校科技智库兼具人才培养与政策咨询功能的实际,探讨高校科技智库完善自身建设的重点方向,提出着重从健全制度、建强团队、学科融合、项目申报、产业对接等方面加快高校科技智库建设。     

Feature selection based on absolute deviation factor for text classification

In text classification, it is necessary to perform feature selection to alleviate the curse of dimensionality caused by high-dimensional text data. In this paper, we utilize class term frequency (CTF) and class document frequency (CDF) to characterize the relevance between terms and categories in the level of term frequency (TF) and document frequency (DF). On the basis of relevance measurement above, three feature selection methods (ADF based on CTF (ADF-CTF), ADF based on CDF (ADF-CDF), and ADF based on both CTF and CDF (ADF-CTDF)) are proposed to identify relevant and discriminant terms by introducing absolute deviation factors (ADFs). Absolute deviation, a statistic concept, is first adopted to measure the relevance divergence characterized by CTF and CDF. In addition, ADF-CTF and ADF-CDF can be combined with existing DF-based and TF-based methods, respectively, which results in new ADF-based methods. Experimental results on six high-dimensional textual datasets using three classifiers indicate that ADF-based methods outperform original DF-based and TF-based ones in 89% cases in terms of Micro-F1 and Macro-F1, which demonstrates the role of ADF integrated in existing methods to boost the classification performance. In addition, findings also show that ADF-CTDF ranks first averagely among multiple datasets and significantly outperforms other methods in 99% cases.