摘要：On-demand droplet sorting is extensively applied for the efficient manipulation and genome-wide analysis of individual ***,state-of-the-art microfluidic chips for droplet sorting still suffer from low sorting speeds,sample loss,and labor-intensive preparation ***,we demonstrate the development of a novel microfluidic chip that integrates droplet generation,on-demand electrostatic droplet charging,and high-throughput *** charging electrode is a copper wire buried above the nozzle of the microchannel,and the deflecting electrode is the phosphate buffered saline in the microchannel,which greatly simplifies the structure and fabrication process of the ***,this chip is capable of high-frequency droplet generation and sorting,with a frequency of 11.757 kHz in the drop *** chip completes the selective charging process via electrostatic induction during droplet ***-demand charged microdroplets can arbitrarilymove to specific exit channels in a three-dimensional(3D)-deflected electric field,which can be controlled according to user requirements,and the flux of droplet deflection is thereby significantly ***,a lossless modification strategy is presented to improve the accuracy of droplet deflection or harvest rate from 97.49% to 99.38% by monitoring the frequency of droplet generation in real time and feeding it back to the charging *** chip has great potential for quantitative processing and analysis of single cells for elucidating cell-to-cell variations.

摘要：锂金属负极和碳酸酯类电解液之间不稳定的界面是限制高比能锂金属电池循环寿命的关键挑战.本文使用含苯环的双酚A乙氧基化物二甲基丙烯酸酯(BAED)交联剂调节聚(丙烯酸六氟丁酯)(PHFBA),设计了一种弹性人造固体电解质中间相(RASEI)来解决这个问题.刚性BAED分子可以对柔性PHBA基体进行调控,实现从600%伸长率到90%压缩率的卓越回弹性,并具有超过2 MPa的高杨氏模量.RASEI可以适应锂金属较大的体积变化,并确保电池运行过程中锂金属与RASEI之间的紧密接触,促进均匀的锂沉积并减少副反应.因此,经过RASEI修饰的Li‖Li对称电池可以在1 mA cm^(-2)和1 mAh cm^(-2)下实现超过500小时的长期循环.对循环后锂金属进行测试分析表明锂枝晶的生长得到了有效的抑制.此外,搭配20 mg cm^(-2)高阴极负载的NCM811软包电池在1 C下,经过200次循环后容量保持率超过85%.

摘要：结构和材料方向的并行拓扑优化是过去几十年来的一个热门话题.然而,如何避免此类问题掉入局部最优相当具有挑战性。为了解决这个问题,我们在以前的工作中提出了一种将离散材料优化方法和连续纤维取向优化方法相结合的方法,称之为离散-连续参数化(DCP),该方法同时继承了离散方法的全局搜索能力和连续方法的全设计空间然而,DCP方法需要太多设计变量,导致了巨大的计算负担.因此,我们在本工作中提出了一种改进的DCP方法,以减少设计变量的数量,同时又不牺牲优化问题的凸性。在该方法中,我们提出了一种扩展的多材料插值方法,该方法能够大大减少设计变量的数量。然后,我们将所提出的插值方法集成到DCP方法中,最终建立了结构拓扑和纤维取向协同优化的改进DCP方法.几个基准优化实例表明,该方法可以在能大大降低陷入局部最优的风险的同时,使用更少的设计变量.

摘要：相变材料(PCM)具有优异的光学性质,在多种集成光子器件中极具应用前景,如光存储器、光开关和光神经形态计算器件.然而,由于集成光子器件相变材料光学性能评价标准的缺乏,新型相变材料的设计主要依赖于研究者的研究经验.本文基于相变光子器件的性能需求,引入材料品质因子(FOM2=Δk/kamor)来评价相变材料的光学性能,建立了针对损耗调制型相变光子器件相变材料的光学性能评价标准.FOM值的大小代表相变材料在构建高性能相变光子器件中的应用潜力,FOM值越大,相变材料应用于光子器件的限制就越小.在此基础上,本文基于光学带隙理论,建立了相变材料光学参数与FOM值之间的关系,开发了三种基于GST的新型光学相变材料.结果表明,氮等非金属元素掺杂可以提高GST的FOM值,有利于开发低损耗、高调制空间的损耗型相变光子器件和大规模损耗型相变光子阵列.除了FOM之外,相变材料的结晶温度也会影响器件的编程功耗、循环寿命和稳定性,这要求我们在实际应用场景中根据器件的需求选择合适的相变材料.总之,本文为相变材料的光学性能提供了评价标准,促进了集成光子器件应用中相变材料的定制设计.

摘要：Objective To observe the value of deep learning (DL) models for automatic classification of echocardiographic views. Methods Totally 100 patients after heart transplantation were retrospectively enrolled and divided into training set, validation set and test set at a ratio of 7 ∶ 2 ∶ 1. ResNet18, ResNet34, Swin Transformer and Swin Transformer V2 models were established based on 2D apical two chamber view, 2D apical three chamber view, 2D apical four chamber view, 2D subcostal view, parasternal long-axis view of left ventricle, short-axis view of great arteries, short-axis view of apex of left ventricle, short-axis view of papillary muscle of left ventricle, short-axis view of mitral valve of left ventricle, also 3D and CDFI views of echocardiography. The accuracy, precision, recall, F1 score and confusion matrix were used to evaluate the performance of each model for automatically classifying echocardiographic views. The interactive interface was designed based on Qt Designer software and deployed on the desktop. Results The performance of models for automatically classifying echocardiographic views in test set were all good, with relatively poor performance for 2D short-axis view of left ventricle and superior performance for 3D and CDFI views. Swin Transformer V2 was the optimal model for automatically classifying echocardiographic views, with high accuracy, precision, recall and F1 score was 92.56%, 89.01%, 89.97% and 89.31%, respectively, which also had the highest diagonal value in confusion matrix and showed the best classification effect on various views in t-SNE figure. Conclusion DL model had good performance for automatically classifying echocardiographic views, especially Swin Transformer V2 model had the best performance. Using interactive classification interface could improve the interpretability of prediction results to some extent.

摘要：由于析氧反应的内在动力学缓慢,开发高效的光催化析氧反应催化剂,以利用太阳能进行光催化分解水产氧,面临着巨大的挑战.本研究设计了一种新型的“主-客体”光催化系统,通过简单的预负载将单位点钌(Ru)分子催化剂引入共价三嗪框架(CTFs)的孔道内.其中,CTFs作为光敏剂和光催化载体,单核钌配合物Ru-bda-Isoq作为分子水氧化催化剂.在可见光照射下,Ru-bda-Isoq@CTF-Bph在5h内平均析氧速率达到2308μmol g^(-1)h^(-1),其性能超过了大多数有机光催化剂.同时,研究还发现多孔光敏剂与分子催化剂之间的结构匹配起着非常关键的作用.该体系具有广泛的适用性,这一策略有助于高效水氧化光催化系统的设计.

摘要：This paper presents a strategy to generate interference-free tool paths for machining sculptured surfaces. The strategy proposed here is first to determine the tool path topology. The values of the step length and the path interval are then calculated based on the machining tolerance requirements. After detecting and eliminating the tool interference, the interference-free tool path is generated. The effectiveness of the developed algorithm is demonstrated through simulation and actual cutting tests.

摘要：By the theory of Christopher Alexander, the famous architecture theorist, function of the verge of building and the pattern of its realization are illustrated. The selectable pattern for architecture design and drawing is discussed.

摘要：The growth of data and Internet of Things challenges traditional hardware,which encounters efficiency and power issues owing to separate functional units for sensors,memory,and *** this study,we designed an a-phase indium selenide(a-In_(2)Se_(3))transistor,which is a two-dimensional ferroelectric semiconductor as the channel material,to create artificial optic-neural and electro-neural synapses,enabling cutting-edge processing-in-sensor(PIS)and computing-in-memory(CIM)*** an optic-neural synapse for low-level sensory processing,the a-In_(2)Se_(3)transistor exhibits a high photoresponsivity(2855 A/W)and detectivity(2.91×10^(14)Jones),facilitating efficient feature *** high-level processing tasks as an electro-neural synapse,it offers a fast program/erase speed of 40 ns/50μs and ultralow energy consumption of 0.37 aJ/*** AI vision system using a-In_(2)Se_(3)transistors has been *** achieved an impressive recognition accuracy of 92.63%within 12 epochs owing to the synergistic combination of the PIS and CIM *** study demonstrates the potential of the a-In_(2)Se_(3)transistor in future vision hardware,enhancing processing,power efficiency,and AI applications.

摘要：We propose in this paper a genetic algorithm (GA)-based approach to solve the Flexible Manufacturing System (FMS) formation problem. First, we divide the unity of machines into small groups or cells using Group technology (GT). And an option for considering the minimization of workload variation between cells is included. Then the implementation is done using GA. When using GA, the designer is allowed to specify the number of cells and impose lower and upper bounds on cell size. This makes the GA scheme flexible for solving the FMS formation problems.