Designing Semipermeable Hydrogel Shells with Controlled Thickness through Internal Osmosis in Triple-Emulsion Droplets

Hydrogel shells that compartmentalize the water core from the aqueous surrounding provide molecular selectivity on size and charge in transmembrane transport. It is highly demanding to produce thin hydrogel shells to minimize diffusion length and maximize core volume. Here, internal osmosis in water-in-oil-in-water-in-oil (W/O/W/O) triple-emulsion droplets is used to produce thin hydrogel shells enclosing a large water core. The triple-emulsion droplets are prepared to have an ultrathin middle oil layer using a capillary microfluidic device. The innermost water droplet has a higher osmolarity than the outer water layer containing photopolymerizable hydrogel precursors, which pumps water from the outer layer to the core through the ultrathin oil layer by the osmosis. Therefore, the outer layer gets thinner and hydrogel precursors are enriched while the size of the triple-emulsion droplets remains unchanged. Through photopolymerization of precursors and phase transfer from oil to water, hydrogel shells enclosing water core are produced in the water environment; the oil layer is ruptured for molecular exchange through the shells. The thickness and composition of the hydrogel shells are precisely controllable by the osmotic conditions. The shells show a high permeation rate due to the thinness as well as controlled cut-off threshold of permeation for neutral and charged molecules.     

基于图神经网络的网络性能智能预测

传统网络性能预测技术存在网络状态获取不够全面及网络性能评估准确性欠佳等问题，利用图神经网络学习推理网络关系数据的特点，结合捕获的网络全局信息，提出了一种基于图神经网络的网络性能智能预测方法。通过网络系统抽象及网络性能建模，将复杂的网络信息转化为形式化的图数据进行描述，利用图空域卷积处理图网络节点的消息传递过程，实现网络信息之间的关系推理，研究了实现网络性能预测的图神经网络模型，提出了一种能处理流量矩阵、网络拓扑、路由策略、节点配置的图神经网络体系结构，最后通过实验论证了模型能更好地实现包括时延、抖动和丢包率的网络性能的准确预测。     

Collective reflection strategy for moderating conformity tendency and promoting reflective judgment performance

Reflective judgement is crucial for medical-related practitioners in dealing with controversial issues. However, the conformity phenomenon is likely to occur and interfere with reflective judgement learning during interactive activities. Effective strategies are required to moderate the conformity behaviour tendency (CBT) and improve reflective judgement performance (RJP). This study demonstrates two significant results: (a) Compared with the guided self-reflection learning strategy, the online collective reflection (OCR) learning strategy effectively weakened the learners' general CBT while dealing with professional controversial issues; and (b) a significantly negative correlation between the RJP achieved and the change of CBT in online environment was detected in the OCR group. The implications and potential applications in higher education were discussed. Further studies are needed to confirm the long-term effects and the extending application to other professional studies.     

高性能大尺寸永磁体粘合强度的测定

介绍了一种用三点弯曲试验法测定高性能大尺寸粘接永磁体粘合强度的方法，及利用布氏硬度计的加载系统，实现100％检验粘接质量的方法。     

具有控制项的限定记忆卡尔曼滤波器

在已有的限定记忆卡尔曼滤波器的基础上 ,将确定性先验信息作为控制项加以应用 ,推导出了完整的限定记忆卡尔曼滤波公式 ,从而在记忆长度确定的情况下 ,有效地减小了模型不准的误差 ,降低了滤波总误差。仿真同样表明了该方法的有效性     

加长方钻杆在随钻中的应用

在推广复合导向钻井技术及新型PDC钻头施工过程中,常常出现动力钻具产生的反扭矩带动钻具逆时针旋转现象,使钻机大绳打扭,将水龙带、有线随钻电缆等缠绕在一起,导致电缆损坏,耽误生产以及导致井下复杂情况发生等严重后果。通过在有线随钻中利用方钻杆柱的方法,即在有线随钻中,根据井架类型,选择2根或3根自加工的方钻杆连接在一起,通过方钻杆和转盘的相互作用,控制螺杆钻具产生的反扭矩,从而避免钻具突然逆时针旋转情况的发生,较好地解决了上述难题,通过在冀中地区的推广应用,使得钻井速度大幅度提高,钻井事故相应地减少,实现了安全、高效钻进,获得了可观的经济效益。     

基于遗传算法的服装工序编排规划

本文讨论了建立服装工序编排系统的必要性，在进行服装工序拆分、合并的基础上，应用遗传算法建立了以流水线平衡为目标的服装工序编排模型．     

羧酸系列集油剂的水面集油性能

研究了十二烷酸、十四烷酸、十六烷酸和十八烷酸在淡水中的集油能力。结果表明，这4种羧酸在淡水表面的表面膜压随其分子中碳数的增加而增大。其中后两者的表面膜压高达45～50mN／m，显著高于各类油膜膜压，满足集油剂对表面活性物质膜压的要求。4种脂肪羧酸在淡水中使柴油油膜的收缩率在1min时达到最大值，分别为80．0％、81．8％、83．8％和88．2％。它们的己醇、正庚醇、正辛醇、仲辛醇溶液的集油持续性，总体上随羧酸分子碳数增加而增大。其中十六烷酸和十八烷酸集油能力非常接近，它们的正庚醇、正辛醇和仲辛醇溶液使柴油膜面积收缩率在120h后仍保持在66．0％～70．2％。该类集油剂毒性低，易为生物降解，有实际应用前景。