Spatiotemporal Magnetocaloric Microenvironment for Guiding the Fate of Biodegradable Polymer Implants

The degradation behavior of implants is significantly important for bone repair. However, it is still unprocurable to spatiotemporally regulate the degradation of the implants to match bone ingrowth. In this paper, a magneto-controlled biodegradation model is established to explore the degradation behavior of magnetic scaffolds in a magnetothermal microenvironment generated by an alternating magnetic field (AMF). The results demonstrate that the scaffolds can be heated by magnetic nanoparticles (NPs) under AMF, which dramatically accelerated scaffold degradation. Especially, magnetic NPs modified by oleic acid with a better interface compatibility exhibit a greater heating efficiency to further facilitate the degradation. Furthermore, the molecular dynamics simulations reveal that the enhanced motion correlation between magnetic NPs and polymer matrix can accelerate the energy transfer. As a proof-of-concept, the feasibility of magneto-controlled degradation for implants is demonstrated, and an optimizing strategy for better heating efficiency of nanomaterials is provided, which may have great instructive significance for clinical medicine.     

User idea implementation in open innovation communities: Evidence from a new product development crowdsourcing community

In collaborative crowdsourcing communities for open innovation, users generate and submit ideas as idea co‐creators. Firms then select and implement valuable ideas for new product development. Despite the popularity and success of these open innovation communities, relatively little is known about the factors that determine the implementation of the user‐generated ideas. Based on research on individual creativity, we propose a conceptual model integrating users' previous experience, idea presentation characteristics and feedback valence to explain the likelihood of idea implementation. We validate our research model with a panel data analysis of 43 550 ideas submitted by 16 360 users in the MIUI new product development community hosted by Xiaomi, a large electronics manufacturing company in China. We find an inverted U‐shaped relationship between users' past successful experience and idea implementation. Furthermore, the length of ideas is positively associated with the likelihood of idea implementation. There is also an inverted U‐shaped relationship between supporting evidence and idea implementation. Finally, we demonstrate the negative effect of positive feedback and the positive effect of negative feedback on idea implementation. These findings offer rich insights to understand the phenomenon of open innovation better. Theoretical and practical implications are discussed.     

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.     

Spatiotemporal mapping of microscopic strains and defects to reveal Li-dendrite-induced failure in all-solid-state batteries

Solid-state electrolytes (SSEs) are key to the success and reliability of all-solid-state lithium batteries, potentially enabling improvements in terms of safety and energy density over state-of-the-art lithium-ion batteries. However, there are several critical challenges to their implementation, including the interfacial instability stemming from the dynamic interaction of as-formed dendritic lithium during cycling. For this work, we emphasize the importance of studying the spatial distribution and temporal evolution of strains and defects in crystalline solid-state electrolytes at the micro-scale, and how this affects dendrite growth. A proof-of-principle study is demonstrated using the synchrotron radiation based micro Laue X-ray diffraction method, and a custom-developed in-situ cycling device. Defects and residual strains are mapped, and the evolution of intragranular misorientation is observed. The feasibility of using this technique is discussed, and recommendations for micro-strain engineering to address the Li/SSEs interfacial issues are given. Also, work directions are pointed out with the consideration of combining multi-techniques for “poly-therapy”.     

矿山深部开采岩体稳定性监测技术研究

针对矿山深部开采过程中易发生地压动力灾害的问题，基于微震监测技术，结合矿山实际特点建立岩体稳定性监测系统。优化台网设计，通过定点爆破的方法进行波速校正，最终建立了定位误差在10m,灵敏度在-2.2的监测台网。对监测数据进行波形拾取，分析微震事件时空演化特征，圈定潜在危险区域，并对潜在危险区域围岩变形损伤进行分析。最终总结出微震事件大幅度上升且处于较高水平、空间分布高度集聚、能量指数突然下降而累计视体积迅速上升的动力灾害预警前兆。研究结果可为深部开采岩体稳定性监测提供参考。     

Aggregate effects and measuring regional dynamics

Empirical models of regional adjustment often control for aggregate effects when estimating the impact of region-specific shocks on local economies. It is, however, difficult to filter out the effects of aggregate shocks—such as oil shocks, uncertainty shocks, or national recessions—because the incidence of these shocks varies across space and time. We propose an improved econometric method to control for this form of spatiotemporal heterogeneity, thereby yielding more accurate estimation of the effects of local shocks on regional economies. Applying the method to US states, we find that labour demand shocks are mostly absorbed through changes in participation; the migration response to these shocks is limited; and recoveries are highly protracted     

Pedestrian and Bicycle Volume Data Collection Using Drone Technology

ABSTRACT

Pedestrian and bicycle volume data is one of the most fundamental types of data for active transportation planning. However, they are not yet well developed. This paper explores an innovative method that uses drone technology to collect pedestrian and bicycle volume data. It confirms the feasibility of the technology as an alternative method to collect complex movements of pedestrians and bicycles. Furthermore, this paper presents a method that converts the video footage to a spatiotemporal dataset. The dataset includes not only the pedestrian and bicycle count data, but also their behavior and characteristics. The spatiotemporal data can become a valuable resource for a variety of active transportation planning practices and research, including the collection of pedestrian and bicycle volume data in parks and recreational areas, the study of collisions between pedestrians and bicycles, and the analysis of the social path. Since it is possible to envision that the development of technologies can overcome current technical difficulties, such as battery lifespan, it is worth considering the application of drone technology to active transportation planning practice and research.     

生态文明价值范式转换下的城市生态空间 绩效研究

秉承"哲学为基础、科学理论为依据、技术为手段"的评价等级体系,在自然内在价值与外在价值共存的生态价值认知范式下,以生态学理论为依据构建以内、外绩效为主体的城市生态空间绩效评价体系和内、外绩效协调度模型,以及绩效发展强度模型,并在GIS技术支撑下实现量化结果的空间化表达。实例证明可得到城市生态空间绩效与协调性的数量结构特征与时空变化特点,可识别高效的生态空间格局、定位低效空间,能从数量分布与空间分布方面更全面地了解城市生态空间的质量,协助判断城市发展的趋势。以期为城市评价工作提供新的视角,为城市生态空间质量的监督、监测提供一种可更新、可视化的时空量化方法。     

基于组合双向拍卖的物联网搜索任务分配机制

如何合理地分配搜索任务,进而激励用户加入到搜索中是物联网搜索亟需解决的关键问题。针对物联网中数据实效性强的特点,结合物联网搜索中用户的高异构性和动态性,提出一种基于组合双向拍卖的搜索任务分配模型,从市场供求关系的角度描述了搜索发起者、搜索参与者和搜索引擎之间的关系。首先引入了竞价价值的概念,提出了一种基于贪心策略的启发式算法确定竞拍成功的用户集合,然后提出一种基于临界价格的定价算法,确保用户的竞价反映了其真实估价。理论分析及实验结果证明所提任务分配机制在保证激励相容性、合理性的基础上,有效提高了物联网搜索引擎的效率。     

基于多源数据的城市公园时空活力与 影响因素测度——以南京为例

公园绿地是城市中重要的公共活动场所,其使用会受到公园自身及其所处城市空间等多种因素的影响。利用手机大数据,通过对城市个体活动轨迹的识别,提取人们到访城市公园的交通出行方式,从而探寻公园出行的时空差异性。同时,通过对网络开源数据的获取,将公园的城市区位、周边环境、业态布局、自身条件和交通可达性等特征进行量化处理,并构建一组线性回归模型来确定影响公园使用的相关因素。结果表明:时间上,工作日和休息日的公园使用特征有较大差异;空间上,城市建成环境较完善地区的城市公园使用频率较高。通过回归模型,发现城市区位对公园使用的影响最大,而公园周边的交通设施并不会对公园使用产生显著影响。研究结果将有助于政策制定者优化城市公园的规划设计与维护管理。