铁路建设项目地材调差的探讨

国家环保治理政策的执行日益严格,多地地材价格明显上升,但铁路工程按照相关政策对地材价差不予调整,各施工单位在承接铁路工程项目时承担了巨大风险。铁路建设项目地材是否有必要进行调差,地材价差的计算、价差分担、合同签订以及验工计价等工作如何开展,均成为困惑建设单位以及施工单位的问题。本文就某铁路建设项目开工以来一直探索的地材调差问题进行探讨,为寻求解决同类问题的同行提供参考。     

An integrated approach to the purchase decision making process of food-delivery apps: Focusing on the TAM and AIDA models

The study employed two theories, the technology acceptance model (TAM) and the Attention-Interest-Desire-Action (AIDA) model, to provide an understanding of the process of consumers accepting an on-demand food-delivery app, and to establish the effect of marketing communication on outcomes related to consumer behavior. A conceptual model and hypotheses were developed by combining the key constructs of the two models to predict behavioral intentions. Findings revealed the attention and interest in the AIDA model related strongly to the salient behavioral beliefs of TAM, perceived usefulness and perceived ease of use. Thus, it can be concluded that marketing communication acts as an external element in the process of accepting new innovations. Besides, it was confirmed that attitude towards the adoption of new technology acts as a mediator that promotes desire for the app. From the disciplines of information system and marketing communication, the study suggests an innovative approach to incorporating models.     

毛竹水溶性多糖提取工艺的优化及结构表征

采用响应面法优化毛竹水溶性多糖的提取工艺,分析其成分,并进行结构表征。研究结果表明,优化的毛竹多糖(BSP)提取条件为:料液比1∶27(g/mL)、提取温度78 ℃、提取时间4 h,该条件下BSP提取率为(5.18±0.07)%,提取物中多糖含量为(72.14±0.02)%,糖醛酸含量为(9.76±0.03)%;BSP具有酸性多糖典型的官能团特征吸收峰,其单糖组成及摩尔比为n_甘露糖∶n_葡萄糖∶n_阿拉伯糖∶n_木糖∶n_鼠李糖∶n_半乳糖=62.52∶23.05∶10.35∶2.78∶0.79∶0.51;BSP由两个主峰组成,相对分子质量分别为91.11、4.55 kDa。BSP是一种混合酸性多糖。     

市政工程施工中的安全管理与质量控制

如今,国内城市化进程正在加速。同时,市政项目变得越来越突出。可以说,市政工程的建设效果可以无形地干扰城镇的日常运转,与人民的生活质量息息相关。市政建设活动的安全性和质量一直是有关部门高度重视的一部分。在此基础上,本文以市政工程为出发点,首先探讨了实施安全质量控制的关键意义,然后分析了目前工作中存在的困难和常见不足,最后提出了一些安全质量管理建议。不同层次的管控工作有效路径,可供参考。     

建筑工程高支模板支架搭设施工工艺要点浅析

对于建筑工程项目来讲,高支模施工技术是应用较为频繁的技术形式,因此必须要结合项目实际情况,加强高支模板支架搭设工作。文章就结合具体工程项目分析建筑工程高支模板支架搭设施工工艺要点。     

Microfinance and social capital formation- a social network analysis approach

The microcredit program has emerged as an important poverty alleviation strategy over the last three decades, and several studies have examined its economic impacts on the community well-being. However, far too little attention has been paid to the effects of micro credits on community social connection and solidarity. This paper aims to examine the application of Social Network Analysis (SNA) to explore the impact of the rural microcredit fund on community social capitals. In doing so, the data on interactions of four rural development groups' members before and after the microcredit project implementation were collected using participatory workshops in Neyzar village of Qom province in Iran. The data were analyzed by Ucinet software, and the socio-graphs were produced by the NetDraw application. The results show that, more people have been involved in the social interactions after the project implementation and there was statistically significant increase in density and decrease in centralization of cooperation network. Furthermore, there were no important distinctions in centrality of people with various educational levels before and after the project implementation. Overall, it can be concluded that, the microfinance initiative considerably promotes the community social capital and participation in the rural development activities. Moreover, the SNA techniques are applicable as an impact assessment tool to investigate changes in community social capital.     

“Sensing” the destination: Development of the destination sensescape index

Despite the increasing academic interest in the sensory dimension of the tourist experience, the quantitative empirical research in the field is limited by a lack of measurement instruments for evaluating the sensory stimuli perceived by tourists during a destination visit. The study addresses this gap by developing a composite index to assess the sensory destination panorama, termed as “destination sensescape”. The construct is conceptualised as a formative multidimensional variable with 5 dimensions (visualscape, smellscape, tastescape, soundscape, and hapticscape). The psychometric validity and reliability of the 17 items integrating the formative index were established by a rigorous multi-step procedure based on three empirical studies. The instrument was tested with data collected from visitors of a Mediterranean urban destination. The operationalisation of the destination sensescape construct not only paves the way for future quantitative sensory studies, but also yields a useful tool for Destination Marketing Organisations (DMOs).     

移动网络数据中大数据处理的关键技术探索

最近几年以来,我国科技水平持续提升,计算机网络技术也逐渐在各行各业中获得了广泛运用,这也使得信息技术的深度融合发展受到一定的促进,数据规模愈发庞大,在此背景下,开始演变成大数据供不应求的状况。为此,国内陆续推出了一系列相关的管理法规与条例,同时扩大了对大数据的探究创新力度,有效提升了移动通信网络处理数据的速度,这同时促使国内移动通信网络中有关大数据的研究内容更为明晰,由此可知,针对大数据的相关研究具有一定必要性。     

产业融合对中国装备制造业创新效率的影响:结构嵌入的调节作用

从理论和实证两个方面探讨了产业融合对中国装备制造业创新效率的影响，以及网络中心性和网络异质性对二者关系的调节作用。基于2006—2015年省际装备制造7个子行业面板数据，采用ISCNFI指数测度模型和基于产出距离函数的超越对数前沿分析方法，分别测度装备制造业产业融合程度及创新效率变化情况，进而利用面板回归模型对理论假设进行实证检验。结果显示：产业融合程度与中国装备制造业创新效率存在倒“U”型曲线关系，即随着产业融合程度提升，中国装备制造业创新效率呈现出先上升后下降的变化趋势；网络中心性强化了产业融合对装备制造业创新效率的提升作用，而网络异质性削弱了产业融合对装备制造业创新效率的提升作用。     

基于MBP算法和深度学习的人脸识别

为了解决在深度学习提取人脸图像特征时,易忽略其局部结构特征和缺乏对其旋转不变性学习的问题,提出了一种基于单演局部二值模式(MBP)与深度学习相结合的高效率人脸识别方法。首先,用多尺度单演滤波器对图像进行滤波,得到幅值和方向信息;其次,用LBP算法和象限比特的方法进行编码,分块计算组合其直方图特征;然后,将提取的单演特征作为深度信念网络(DBN)的输入,逐层训练优化网络参数,得到优异的网络模型;最后,将训练好的DBN网络在ORL人脸数据库上进行人脸识别实验,进行识别率计算,其识别率为98.75%。所提出的方法使用无监督的贪婪算法,隐藏层设定为2层,使用反向传播算法优化网络。相较于已知的人脸识别方法,MBP+DBN算法对光照、表情和部分遮挡变化具有较好的鲁棒性,在人脸识别中识别率较高,具有一定的优势,为图像特征提供了一种新的识别方法。