Preparation of transparent BaSO4 nanodispersions by high-gravity reactive precipitation combined with surface modification for transparent X-ray shielding nanocomposite films

BaSO₄ nanoparticles as important functional materials have attracted considerable research interests, due to their X-rays barrier and absorption properties. However, most of BaSO₄ nanoparticles prepared by traditional technology are nanopowders with broad size distribution and poor dispersibility, which may greatly limit their applications. To the best of our knowledge, the synthesis of transparent BaSO₄ nanodispersions was rarely reported. Here, we firstly present a novel and efficient method to prepare transparent and stable BaSO₄ nanodispersions with a relatively small particle size around 10 to 17 nm using a precipitation method in a rotating packed bed (RPB), followed by a modification treatment using stearic acid. Compared with the BaSO₄ prepared in a traditional stirred tank, the product prepared using an RPB has much smaller particle size and narrower size distribution. More importantly, by using RPB, the reaction time can be significantly decreased from 20 min to 18 s. Furthermore, the transparent BaSO₄-polyvinyl butyral nanocomposite films with good X-ray shielding performance can be easily fabricated. We believe that the stable BaSO₄ nanodispersions may have a wide range of applications for transparent composite materials and coatings with X-ray shielding performance for future research.     

浅渍法发酵豇豆的工艺优化

以具有降解亚硝酸盐功能的植物乳杆菌（Lactobacillus plantarum）SD-7和具有优良抗氧化能力的植物乳杆菌（Lactobacillus plantarum）FM-LP-9为复合发酵剂（1∶1），采用浅渍法发酵豇豆。以硬度和感官评分为考察指标，通过单因素试验及响应面试验研究复合发酵剂接种量、发酵温度和发酵时间对浅渍法发酵豇豆品质的影响。结果表明，最佳发酵工艺条件为发酵温度25 ℃，接种量5%，发酵时间125 h，在此优化条件下，得到的浅渍法发酵豇豆硬度为47.31 N，感官评分为90.98分，香气浓郁、口感脆嫩。     

电力变压器纳米绝缘油的击穿与介电性能研究

绝缘油是电力系统电力变压器的绝缘与散热介质,其性能直接关系到变压器的绝缘性能,而通过向变压器油中加入纳米粒子可提升变压器油的性能指标。通过向绝缘油中加入纳米粒子,制备了纳米绝缘油,在常温下测量了纳米绝缘油的击穿电压、相对介电常数、介质损耗因素及体积电阻率。结果表明,加入纳米粒子后的绝缘油击穿电压有明显提高,低频下的相对介电常数与体积电阻率也有所增加,而低频下的介质损耗因素有略微下降。。     

含新能源发电的电力系统状态估计研究

新能源发电不确定性改变了传统状态估计的边界条件，给不良数据辨识和电力系统运行状态预测等状态估计基本功能带来新问题，影响含新能源电网的调度与运行控制决策。在综述传统电力系统状态估计功能、模型与算法的基础上，分析了新能源发电不确定性带来的主要影响；结合新能源发电的特点，从估计对象和时间2个维度提出一种含新能源发电的分层状态估计框架，针对不同估计对象实现电站层级与全网的状态估计信息合理拼接，在时间维度上考虑历史数据挖掘、实时状态估计和状态趋势预测的有机衔接，并在对比所提框架与传统状态估计差异的基础上，提出了亟待解决的关键技术问题。     

牵引车载荷对NOx排放和排温影响的试验研究

在五轴动力总成试验台架上对牵引车在不同载荷下进行同一路谱的排放试验,研究牵引车在不同载荷下NOx排放和排温的变化,得到载荷与排放物和选择性催化还原(selective catalytic reduction,SCR)上游排温的变化关系。结果表明:载荷为标定载荷的60%以下时,NOx比排放值与载荷基本呈线性相关;载荷超过标定载荷的75%时,NOx比排放值与载荷呈二次项相关;载荷在为标定载荷的23%以上时,NOx比排放值与SCR上游排温基本呈线性相关。利用该试验结论可以通过只进行单一载荷排放试验,判断车辆在其他载荷下的排放水平是否满足国家标准要求,并可通过载荷对排温的影响规律预判排放水平。     

基于改进的Random Subspace的客户投诉分类方法

电信业的客户投诉不断增多而又亟待高效处理。针对电信客户投诉数据的特点，提出了一种面向高维数据的改进的集成学习分类方法。该方法综合考虑客户投诉中的文本信息及客户通讯状态信息，基于Random Subspace方法，以支持向量机（Support Vector Machine，SVM）为基分类器，采用证据推理（Evidential Reasoning，ER）规则为一种新的集成策略，构造分类模型对电信客户投诉进行分类。所提模型和方法在某电信公司客户投诉数据上进行了验证，实验结果显示该方法能够显著提高客户投诉分类的准确率和投诉处理效率。     

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.