Taste matters most: Effects of package design on the dynamics of implicit and explicit product evaluations over repeated in-home consumption

Package design influences consumers’ expectations of a product’s sensory properties and expected healthiness and/or tastiness, and potentially also changes actual product perception during consumption. The robustness of these effects is far from clear, however. This study investigated the influence of package cues signalling either hedonic or healthy product properties on expectations and subsequent product evaluation over repeated consumption.In a between-subjects design, 92 participants evaluated product expectations and taste perceptions of a chocolate-sesame flavoured biscuit with a package emphasizing either its healthy (n = 44) or hedonic (n = 48) aspects, both at a central location (CLT) and during six home use tests (HUT), using both explicit (questionnaires) and implicit (IAT) measures.Package design significantly affected (p < 0.05) consumers’ expectations of the product. They expected the biscuit to be tastier, less attractive and less healthy in the hedonic package condition, and less tasty, more attractive and healthier in the healthy package condition. However, these effects did not transfer to actual product evaluations upon tasting, either blind or tasting in combination with viewing the package during the HUTs. Implicit attitudes did change as a result of repeated exposures, depending on the package consumers were provided with, indicating product-package interactions over time (p < 0.05).In conclusion, package design influences product expectations and associations with its healthiness and attractiveness, which is of relevance in product choice and purchase settings. However, at the stage of (repeated) consumption, intrinsic (sensory) properties become the dominant drivers of products’ sensory and hedonic evaluations, and the impact of package cues seems less potent.     

Cloud based cyber-physical systems: Network evaluation study

In recent years, the Industry 4.0 concept brings new demands and trends in different areas; one of them is distributing computational power to the cloud. This concept also introduced the Reference Architectural Model for Industry 4.0 (RAMI 4.0). The efficiency of data communications within the RAMI 4.0 model is a critical issue. Aiming to evaluate the efficiency of data communication in the Cloud Based Cyber-Physical Systems (CB-CPS), this study analyzes the periods and data amount required to communicate with individual hierarchy levels of the RAMI 4.0 model. The evaluation of the network properties of the communication protocols eligible for CB-CPS is presented. The network properties to different cloud providers and data centers’ locations have been measured and interpreted. To test the findings, an architecture for cloud control of laboratory model was proposed. It was found that the time of the day; the day of the week; and data center utilization have a negligible impact on latency. The most significant impact lies in the data center distance and the speed of the communication channel. Moreover, the communication protocol also has impact on the latency. The feasibility of controlling each level of RAMI 4.0 through cloud services was investigated. Experimental results showed that control is possible in many solutions, but these solutions mostly cannot depend just on cloud services. The intelligence on the edge of the network will play a significant role. The main contribution is a thorough evaluation of different cloud providers, locations, and communication protocols to provide recommendations sufficient for different levels of the RAMI 4.0 architecture.     

基于模糊综合评判和层次分析法的中子管故障风险评估

中子管是一种用途广泛的关键部件，然而目前国产中子管的可靠性水平与国外相比还有一定差距，难以满足各行业的使用需求。本文分析了中子管的主要故障模式，采用模糊综合评判和层次分析法对中子管故障进行了多级模糊综合评判，并对中子管故障风险进行了评估。结果表明，中子管总体故障风险水平中等，故障风险前3位的部件为靶、氘氚储存器和加速极，在设计和使用中应重点关注靶释放氦气，靶膜氧化，氘氚储存器吸气剂局部破损，绝缘瓷管破损，加速极离子加速、聚焦不稳定等故障。     

西藏甲玛超大型斑岩成矿系统找矿方向

甲玛矿床位于西藏冈底斯成矿带，其勘查和研究程度均较高，矿体由斑岩型矿体、矽卡岩型矿体、角岩型矿体及外围独立金矿体组成，具有多元矿体结构，其成矿元素为Cu、Mo、Pb、Zn、Au和Ag，呈现多金属成矿作用特征。矿区深部及外围的勘查找矿方向一直是地质学者们关注的热点。在斑岩成矿系统理论的指导下，近年来在甲玛矿区深部及外围取得了重大找矿突破。基于最新勘查成果，甲玛矿床共探获铜资源储量超过850×10⁴ t，钼资源量达91×10⁴ t，铅锌资源量超过150×10⁴ t，伴生金储量为220 t，伴生银储量超过1×10⁴ t，达到超大型矿床规模。为进一步指导区域及外围勘查找矿工作，以甲玛矿区最新勘查成果为基础，通过对矿区钻孔的详细编录，采用地表构造蚀变填图等方法，系统解剖了甲玛矿区不同矿段的矿体地质结构，并揭示了其矿床地质特征。结合甲玛矿区新发现的主矿段深部的厚大矽卡岩矿体和外围则古朗北矿段的巨厚斑岩型矿体，分析了矿区深部及外围找矿潜力，认为甲玛矿区深部仍存在厚大矽卡岩铜钼矿体和斑岩钼矿体，应进一步加强对外围则古朗北矿段新发现的斑岩矿体、矽卡岩矿体和角岩型矿体的勘查，建立新的资源储备。此外，归纳总结有效勘查找矿方法，以期为深入探究甲玛矿床成矿作用和创建综合勘查找矿模型提供参考依据，并通过系统梳理矿区已有勘查和研究资料，总结甲玛矿床的找矿标志，为区域类似矿床的地质勘查提供重要线索，也为青藏高原斑岩成矿系统的勘查和研究工作奠定坚实基础。     

Integrated rough VIKOR for customer-involved design concept evaluation combining with customers’ preferences and designers’ perceptions

Customer-involved design concept evaluation (DCE) allows customers to take part in evaluating the design alternatives to get more popular design concept. Traditional customer-involved DCE methods still focus on the collection of customer responses and only consider cost and benefit characteristics of design criteria in multi-criteria decision-making (MCDM) based evaluation process. Few studies have customized the decision-making algorithms specifically aimed at customers’ preferences. This paper further explores the customers’ influences in the early stages of the product design development, and proposes a new rough number based MCDM model (i.e., VIKOR) incorporating customers’ preferences for design specifications along with designers’ perceptions for the characteristics of design criteria (cost and benefit) to perform concept evaluation under subjective environment, and this proposed method is named as integrated rough VIKOR (IR-VIKOR). The objective of this study is to identify the best design concept which maximizes the satisfactions of expectations from most customers as well as conforms to the characteristics of design criteria. Firstly, Shannon entropy is used to obtain the weightings and relative importance ratings of design criteria from the customers’ preferences. Secondly, the customers’ preferences for design attribute values, the importance ratings of design criteria and the characteristics of design criteria are combined together to define the ideal solutions to calculate the rough evaluation index of each design alternative in IR-VIKOR, and finally the ranking result is provided by IR-VIKOR to determine the best design concept. A practical design example is introduced to illustrate the evaluation process of this proposed method, and the empirical comparisons are further carried out to validate its superiority for DCE. Through the sensitivity analysis experiments including i) inside IR-VIKOR, and ii) between IR-VIKOR and other classical MCDM methods, the proposed method is proved to be a reliable and feasible customer-involved DCE approach.     

不同熄焦方式对40kg焦炉焦炭质量的影响

不同熄焦方式对焦炭的冷态强度、热态强度以及生产焦炉的工艺特点均有影响,为了更好地指导40 kg试验焦炉的生产,需对比分析水熄焦、干熄焦方式对焦炭质量的影响。选用4种不同炼焦煤和1种生产配合煤,利用40 kg级实验焦炉炼制焦炭,分别采用蒸汽熄焦与水熄焦方式对40 kg焦炉炼制的焦炭进行冷却,检测熄焦后焦炭的工业分析、机械强度及热性质等性能指标,对比分析2种熄焦方式对焦炭质量的影响,并研究2种熄焦方式下焦炭与生产干熄焦的焦炭质量关系。结果表明,相对水熄焦,蒸汽熄焦的焦炭水分较稳定(小于1%)、成焦率有所提升,改善了焦炭质量,其中1/3焦煤冷强度的改善最为明显,气煤与1/3焦煤的热性质改善最为明显,肥煤的成焦率提升最大;蒸汽熄焦与生产干熄焦的焦炭质量指标更接近,机械强度M 40一致、M 10数据高出2.5个百分点,热性质CRI数据高出8.1个百分点、CSR低出10.4个百分点。焦化企业可参照试验结果,进一步优化40 kg实验焦炉熄焦工艺及调整生产与试验焦炉的相关性。     

中国智能机械制造评价及发展研究

以中国规模以上工业企业数据库为基础，结合在智能制造主要区域调研的结果，筛选出15145家智能制造企业，经同行评议后，生成322家候选企业名单；再由资深产业专家从“开发式创新”和“探索式创新”两个方面去考察候选企业的能力，得到中国智能制造百强排行榜；随后根据行业分类，得到智能机械制造企业排行榜。在概述了智能机械制造上榜企业的基本情况后，着重分析了前20强企业，并提出了中国智能机械制造发展路径和未来的发展趋势。     

陕西田市镇及周边地质环境质量评价模型的构建及应用研究

鉴于地质环境质量在城市建设管理与规划中的重要性,文章从水文地质、工程地质和环境地质3个方面,确定了田市镇及周边地区地质环境质量评价指标体系,采用熵权法确定指标权重,构建了模糊加权模式评价模型,对田市镇及周边地区地质环境质量进行了评价与分区,并提出了针对性建议,以期为探索合适的评价方法及推进城镇建设的可持续发展提供地学依据。     

海洋天然气水合物储层拉削开采新方法及可行性分析

针对深水浅层非成岩天然气水合物借鉴刨煤机刨削采煤过程提出一种新的拉削开采方法，参照拉刀结构特点设计了一种集开采、收集和输送为一体的拉削管。建立了拉削开采三维模型，对其工作原理和工作步骤进行了说明。用有限元仿真对采空区和拉削管受力进行了分析。结果表明，岩土力学仿真下采空区开采半径和开采角度的增大都会引起剪切应力的增加，最大剪切应力发生在采空区上部的起始位置和终止位置；在不发生剪切破坏的采空区中选择体积较大者作为理想采空区，估算出拉削开采方法的日产气量为142000 m3，具有应用潜力；开采工况下，拉削管的最大等效应力小于管材的屈服极限，表明开采过程中拉削管处于弹性形变，满足方法需求。