From enfant terrible to problem-solver? Tracing the competing discourse to explain blockchain-related technological diffusion

Since the inception of blockchain-related technologies over a decade ago, investors’ uptake of the technologies has grown rapidly. But even with the advancement in standing from conceptual beginnings to real-world experimentation, mainstream adoption of the technologies in either organizational or individual contexts has yet to eventuate. To resolve this paradox, we examine progression of the technologies’ diffusion instead, and in the process, seek to uncover the underlying dynamics of sentiments at play. Diffusion involves multiple actions by different parties, with social discourses via diverse media playing an essential role. In demonstrating the interplay of support to resistance via media framing and the diffusion of innovation theory, findings from our paper contribute to the technology adoption literature. Understanding resistant behavior toward a new technology area could help resolve potential issues that may arise. This would hopefully lead to better technological implementation outcomes in future.     

中国与日本兽药残留限量标准比较分析研究

目的研究我国与日本兽药残留限量标准的异同。方法根据中华人民共和国国农业部第235号公告以及日本肯定列表、厚生劳动省第370号公告,比较两国法律法规涉及的禁用与限量物质清单在兽药种类、残留食品种类、残留限量指标值等方面的异同。结果我国兽药残留限量标准涉及123种兽药、3大类食品、12种动物与9种靶组织、550个限量指标,日本则涉及243种兽药、4大类食品、16种动物与8种靶组织、3705个限量指标。两者相比,我国83种兽药与日本相同, 445个限量指标与日本810个限量指标具有可比性。在中日标准涉及的具有可比性的限量指标中,我国有215个指标与日本等同,有80个指标比日本严格,有139个指标比日本宽松。结论在兽药残留限量标准涉及的可比指标值方面,我国二分之一的指标值与日本对应指标值是等同的。     

Full-scale experimental investigation on the shock-wave characteristics of high-pressure natural gas pipeline physical explosions

In this study, a series of full-scale high-pressure natural gas pipeline physical explosion experiments were performed, in which the overpressure of the shock waves was measured and analyzed. The concept of “physical explosion linear energy (PEXLE)” was proposed and a “PEXLE model” was established to evaluate shock waves in a cylindrical pipeline with high length–diameter ratio. Equations were fitted to describe the characteristics of peak overpressure, positive pressure duration and specific impulse. Results showed that peak overpressure of shock waves is not influenced by the length of pipeline. With the increase of the propagation distance, specific impulse first increases and then decreases. This indicates that the position of the maximum value of overpressure does not correspond with that of the specific impulse.     

Contextual acceptance of insect-based foods

Insect-based foods have gained much attention as an alternative source of protein in recent years because of their high nutritional content and low production costs. However, consumer acceptance of insect-based foods still poses a big challenge in many societies. Across three studies, we examined how social companions (alone, friend, family, acquaintance, partner) and location (cafe, bar, pub, food festival) are associated with people’s willingness to eat insect-based foods. We also examined the positive arousing (fun, excitement) and positive calming (romance, tranquility) emotions that were evoked by several eating contexts. The results of Studies 1 and 2 revealed that participants expected that they would be more willing to eat insect-based foods with friends (vs. alone, family, acquaintance, partner) and in pubs and at food festivals (vs. in a cafe, bar). The results of Study 3 replicated the main findings of the first two studies using the actual names (not pictures) of insect-based food products, namely ‘mealworm burger’ and ‘cricket chocolate bar’. Moreover, these contexts, where people would be more willing to eat insect-based foods, were associated with positive arousing emotions (fun, excitement) rather than positive calming emotions (romance, tranquility). Taken together, then, these findings reveal the role of contexts associated with positive arousing emotions in eating insect-based foods and provide practical advice concerning the situations in which the consumer’s acceptance of insect-based foods may be increased.     

Factors influencing bid-winning performance in mixed crowdsourcing: The persuasive effect of credible information sources

Mixed crowdsourcing is increasingly becoming the main organizational model of domestic crowdsourcing platforms. However, research on the interpretation of winning performance fails to focus on the persuasive effect of the credibility of the contractor's information source on the contractee's decision making. Based on source credibility theory (SCT), this study constructs a model of the factors influencing the contractor's bid-winning performance based on three aspects—credibility, professionalism, and attractiveness—and examines the moderating effect of positive contractor evaluations from previous tasks on the bid decision. The results reveal that integrity guarantee and contact authentication (which belong to the credibility dimension), as well as ability level and professional identity (professionalism dimension) positively affect the contractor's bid-winning performance, and that an inverted-U-shaped relationship exists between the number of services displayed by the contractors (attractiveness dimension) and bid-winning performance.     

箱变坐标系与多元储量计算积分法要点简介

本文简要介绍了作为多元储量计算积分法算法依据的箱变坐标系、变值函数等新型数学方法和二元线性类单元层的基本算法，并对其它多元类算法作了简要提示。本法算法精确、用法简便，适用于一般矿产的各类储量计算和矿山设计、生产与科研及矿业管理中的各类有关问题，更可作为一种基本数学工具广泛用于解决其它行业和领域中的各类有关问题。     

工业锅炉正压燃烧故障原因分析

本文对工业锅炉正压燃烧故障形成原因进行了分析、探讨，并通过一起典型实例来说明正压燃烧故障的分析、处理方法。     

夏热冬暖地区住宅建筑节能的误区

夏热冬暖地区南区的建筑节能工作的实施过程中,存在各种误区,有观念上对建筑节能的误解,也有技术上为了应付节能审查而采取的对策,还有设计施工等各方面容易忽略的细节问题.本文试从六个方面探讨住宅建筑节能的误区,以期树立和坚持正确的节能观念.     

基于正序电压变化量的故障电压暂降源定位算法

随着越来越多敏感负荷接入电网,由电压暂降问题直接及间接带来的经济损失日趋严重。在各类电压暂降中,故障引发的电压暂降占比最大,对其进行准确定位是高效治理电网故障的必要前提。文中针对故障型暂降源提出一种基于正序电压变化量的定位方法,基于发生故障时各监测点的正序电压分布特性,建立监测点信息库和各支路故障距离定位模型;然后基于马氏距离与Pearson相关系数定义相似度指标,利用信息库匹配的方法对故障所在支路进行初选;最后采用遗传算法对最优故障距离目标函数进行寻优,定位故障源。利用IEEE 14节点仿真系统对所提方法的有效性与准确性进行了验证。     

Periodic autoregressive conditional duration

We propose an autoregressive conditional duration (ACD) model with periodic time-varying parameters and multiplicative error form. We name this model periodic autoregressive conditional duration (PACD). First, we study the stability properties and the moment structures of it. Second, we estimate the model parameters, using (profile and two-stage) Gamma quasi-maximum likelihood estimates (QMLEs), the asymptotic properties of which are examined under general regularity conditions. Our estimation method encompasses the exponential QMLE, as a particular case. The proposed methodology is illustrated with simulated data and two empirical applications on forecasting Bitcoin trading volume and realized volatility. We found that the PACD produces better in-sample and out-of-sample forecasts than the standard ACD.