不同形状Janus颗粒自驱动特性数值模拟

Janus颗粒利用自身非对称的表面性质建立浓度梯度场,并在其作用下产生自驱动,在微机电系统、生物学、流体力学等领域具有重要的应用.本文首先建立了模拟这一过程的数值模型,并由Pt-SiO2型Janus微球的实验数据确定了迁移速率匹配常数.随后,研究了3种相同体积、不同形状的Janus颗粒的自驱动,结果表明,与相同体积的球形Janus颗粒相比,圆柱及椭球状Janus颗粒具有更快的自驱动速度,同时燃料消耗更多.对于圆柱状颗粒,研究了粗细程度对圆柱状颗粒自驱动性能的影响,结果表明存在最优的直径与长度比(d/l=0.28).这一研究可为Janus颗粒具体应用提供理论基础.     

Level of natural hepatotoxin (Indospicine) contamination in Australian camel meat

Camel meat production for human consumption and pet food manufacture accounts for a relatively small part of overall red meat production in Australia. Reliable statistical data for the Australian production and consumption of camel meat are not available; however, it is estimated that 300,000 feral camels roam within the desert of central Australia, with an annual usage of more than 3000 camels for human consumption, 2000 for pet food manufacture and a smaller number for live export. Despite a small Australian camel meat production level, the usage of camel meat for pet food has been restricted in recent years due to reports of serious liver disease and death in dogs consuming camel meat. This camel meat was found to contain residues of indospicine, a non-proteinogenic amino acid found in certain Indigofera spp., and associated with mild to severe liver disease in diverse animals after dietary exposure to this hepatotoxin. The extent of indospicine-contaminated Australian camel meat was previously unknown, and this study ascertains the prevalence of such residue in Australian camel meat. In this study, indospicine levels in ex situ (95 samples collected from an abattoir in Queensland) and in situ (197 samples collected from camels after field culling in central Australia) camel meat samples were quantitated using a validated ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). The quantitation results showed 46.7% of the in situ- and 20.0% of the ex situ-collected camel meat samples were contaminated by indospicine (more than the limit of detection (LOD) of 0.05 mg kg^–1 fresh weight). The overall indospicine concentration was higher (p < 0.05) in the in situ-collected samples. Indospicine levels detected in the present study are considered to be low; however, a degree of caution must still be exercised, since the tolerable daily intake for indospicine is currently not available for risk estimation.     

Dynamic origin‐destination flow estimation using automatic vehicle identification data: A 3D convolutional neural network approach

Dynamic origin‐destination (OD) flow estimation is one of the most fundamental problems in traffic engineering. Despite numerous existing studies, the OD flow estimation problem remains challenging, as there is large dimensional difference between the unknown values to be estimated and the known traffic observations. To meet the needs of active traffic management and control, accurate time‐dependent OD flows are required to understand time‐of‐day traffic flow patterns. In this work, we propose a three‐dimensional (3D) convolution‐based deep neural network, “Res3D,” to learn the high‐dimensional correlations between local traffic patterns presented by automatic vehicle identification observations and OD flows. In this paper, a practical framework combining simulation‐based model training and few‐shot transfer learning is introduced to enhance the applicability of the proposed model, as continuously observing OD flows could be expensive. The proposed model is extensively tested based on a realistic road network, and the results show that for significant OD flows, the relative errors are stable around 5%, outperforming several other models, including prevalent neural networks as well as existing estimation models. Meanwhile, corrupted and out‐of‐distribution samples are generated as real‐world samples to validate Res3D's transferability, and the results indicated a 60% improvement with few‐shot transfer learning. Therefore, this proposed framework could help to bridge the gaps between traffic simulations and empirical cases.     

Simulation and evaluation of tablet-coating burst based on finite element method

The objective of this study was to simulate and evaluate the burst behavior of coated tablets. Three-dimensional finite element models of tablet-coating were established using software ANSYS. Swelling pressure of cores was measured by a self-made device and applied at the internal surface of the models. Mechanical properties of the polymer film were determined using a texture analyzer and applied as material properties of the models. The resulted finite element models were validated by experimental data. The validated models were used to assess the factors those influenced burst behavior and predict the coating burst behavior. The simulation results of coating burst and failure location were strongly matched with the experimental data. It was found that internal swelling pressure, inside corner radius and corner thickness were three main factors controlling the stress distribution and burst behavior. Based on the linear relationship between the internal pressure and the maximum principle stress on coating, burst pressure of coatings was calculated and used to predict the burst behavior. This study demonstrated that burst behavior of coated tablets could be simulated and evaluated by finite element method.     

A survey on decision making for task migration in mobile cloud environments

The key idea of MCC is using powerful back-end computing nodes to enhance capabilities of small mobile devices and provide better user experiences. An effective and widely used approach to realize this is task migrations. Decision making is an important aspect of migrations which affects the feasibility and effectiveness of task migrations. There have been a number of research efforts to MCC which help make decisions for task migrations. In this paper, we present a comprehensive survey on decision making for task migrations in MCC, including decision factors and algorithms. We observe that there are still some challenges such as comprehensive context awareness, unified migration standards, large-scale experiments, more involvement of latest achievements from artificial intelligence, and flexible decision-making mechanisms. The paper highlights these issues and challenges to attract more efforts to work on MCC.     

乡村建院散落于村庄的教育

中国南方的乡村保留了过去传统生活的记忆,在接受着现代科技文明渗透的同时,等待着无限可能的到来.我们选择了较为熟悉的安徽省黄山市黟县碧山村作为思路的起点.在极具特色的徽派建筑中,碧山村未被过度商业开发,保有淳朴的民风,生活气息和历代传承下来的文化气氛浓郁.参与建筑学学习两年后,我们渴望在这儿建造一个能够真正融入村庄、开放自由的建筑学院,将传统的建筑教育回归到人人都可以参与其中的“泛建筑”状态.此次设计意在为村民和学生之间的双向沟通构筑一个平台,将建筑分散到村庄中,在对其进行合理的组织之后,既不破坏乡村肌理,又为他们之间提供更多的可能的联系.徽派建筑是长期适应地方气候的产物,当地夏季高温多雨,冬季寒冷潮湿,我们充分借鉴徽派建筑对气候与环境的回应,将其与现代技术相结合,应用到此次的设计中.如果在村庄中建一所大学会是怎样的情景?在碧山,我们一同做了一次美好的畅想.     

可再分散乳胶粉的研究进展及其应用

本文简述了可再分散乳胶粉的性能。着重介绍了可再分散乳胶粉的制备,包括单体及配方的选择、聚合方法和干燥工艺,综述了可再分散乳胶粉的改性及其在建筑腻子、外墙外保温材料、内外墙装饰材料、地坪材料等方面的应用。指出以水溶性高分子为乳液聚合主要稳定剂的乳液聚合是一种新的思路。     

An adaptive control scheme using multiple reference models

This paper develops an extended model reference adaptive control scheme to expand the capacity of state feedback state tracking adaptive control to handle the plant‐model matching uncertainties for single‐input LTI systems. The extended scheme is developed, using multiple reference model systems (only one of which is required to be able to match the controlled plant), and multiple controllers (which are updated from adaptive laws generated from multiple reference model systems based estimation errors), as two key features of such design to relax a plant‐model matching condition. A switching mechanism is constructed using those multiple estimation errors, capable of selecting the suitable control input from the multiple control signals, to achieve the desired system performance. An aircraft flight control example is presented to show the capacity of such design in relaxing a practical design condition. Copyright © 2013 John Wiley & Sons, Ltd.