Mutual information-based optimization of sparse spatio-spectral filters in brain–computer interface

Recently, neuro-rehabilitation based on brain–computer interface (BCI) has been considered one of the important applications for BCI. A key challenge in this system is the accurate and reliable detection of motor imagery. In motor imagery-based BCIs, the common spatial patterns (CSP) algorithm is widely used to extract discriminative patterns from electroencephalography signals. However, the CSP algorithm is sensitive to noise and artifacts, and its performance depends on the operational frequency band. To address these issues, this paper proposes a novel optimized sparse spatio-spectral filtering (OSSSF) algorithm. The proposed OSSSF algorithm combines a filter bank framework with sparse CSP filters to automatically select subject-specific discriminative frequency bands as well as to robustify against noise and artifacts. The proposed algorithm directly selects the optimal regularization parameters using a novel mutual information-based approach, instead of the cross-validation approach that is computationally intractable in a filter bank framework. The performance of the proposed OSSSF algorithm is evaluated on a dataset from 11 stroke patients performing neuro-rehabilitation, as well as on the publicly available BCI competition III dataset IVa. The results show that the proposed OSSSF algorithm outperforms the existing algorithms based on CSP, stationary CSP, sparse CSP and filter bank CSP in terms of the classification accuracy, and substantially reduce the computational time of selecting the regularization parameters compared with the cross-validation approach.     

河道生态基流计算方法回顾与评估框架研究

回顾了国内外河道生态基流计算方法的发展历程并对比分析其异同,同时提出了国内河道生态基流的研究不足。开展了国内外河道生态基流计算方法的分类对比研究,讨论了不同类型计算方法的优缺点与适用条件,为不同计算方法的应用提供了依据。最后,构建了河道生态基流评估框架,分析了生态基流评估计算时的影响因素,提出了评估框架构建原则。通过构建生态基流决策支持系统提出了河道生态基流评估框架的分析流程。研究成果可为不同区域生态基流的确定提供技术支撑。     

基于FPGA+DM36X的IP摄像机平台

针对目前安防监控设备动态范围较低的问题,文中提出了基于FPGA和DM36X的高动态范围网络摄像机方案。该方案采用高动态图像传感器进行图像采集,并以FPGA和DM36X作为图像处理的核心。FPGA负责对高动态图像进行增强处理,弥补了DM36X对高动态图像处理的不足,并结合DM36X在视频图像编码及传输上的优势,最终实现1 280×720每秒30帧的高动态范围视频图像的采集、处理和传输。     

复合挤压对Mg-4Sn-2Al-1Zn合金组织及力学性能的影响

针对镁合金室温强度低、塑性差的问题,采用复合挤压工艺在250℃对Mg-4Sn-2Al-1Zn合金进行了挤压,研究了复合挤压对合金的组织演变、织构及力学性能的影响。结果表明,复合挤压能将Mg-4Sn-2Al-1Zn合金的晶粒尺寸由45.2μm细化至3.1μm,组织均匀。挤压后的合金硬度提升,均匀性改善,屈服强度、抗拉强度和断后伸长率分别为204 MPa、287 MPa和21.0%,较匀质态分别提高了140.0%、91.3%和156.1%。动态再结晶是晶粒细化的主要机制,晶粒细化以及挤压后基面织构增强、织构向挤压方向均匀扩展使合金强度、塑性提高,挤压过程中Mg2Sn相破碎进一步提高了合金的力学性能。上述研究表明复合挤压是一种能有效提高镁合金综合性能的工艺。     

基于高岭土多孔基板的In2O3微米梳制备及其气敏性能

采用模压-烧结法制备高岭土多孔基板，考察烧结温度对高岭土多孔基板表面形貌与孔隙结构的影响，通过热蒸发法在高岭土多孔基板上制备出In₂O₃微米材料，并采用XRD、SEM、FTIR、阿基米德排水法等检测手段考察多孔基板及In₂O₃微米材料的形貌与结构。结果表明，在烧结温度1 200 ℃时所获高岭土多孔基板的孔径尺寸在45 μm左右，显气孔率为32.71%，体积密度为1.48 g/cm³，抗弯强度为15.08 MPa。在该多孔基板上所制备的In₂O₃产物呈梳状结构，梳齿直径和长度分别在1~10 μm和20~80 μm范围内，梳柄长度约为1 mm，结晶良好。对In₂O₃微米梳的气敏检测结果表明：In₂O₃微米梳对NO₂气体具有良好的选择性、可逆性和重复性；其对浓度为0.001%的NO₂气体的灵敏度随着工作温度的升高呈先升高后降低的趋势，响应时间和恢复时间随之减少，且在最佳工作温度200 ℃时达到最大值，为44.4，此时的响应时间和恢复时间分别为21 s和106 s；In₂O₃微米梳对NO₂气体的灵敏度随着NO₂浓度的增加而增加，两者之间呈线性相关，响应时间随着NO₂浓度的增加而缩短，恢复时间则随之增长。     

Fe73.5Cu1Nb3Si13.5B9纳米晶软磁粉体的制备工艺与微波电磁性能

研究热处理工艺、材料粒度对Fe73.5Cu1Nb3Si13.5B9材料微波电磁性能的影响,对该类材料的微波电磁性能和吸波性能进行测试。结果表明:热处理工艺对材料的微波电磁性能产生较大的影响,达到晶化条件的热处理工艺有利于提高材料的电磁性能;随着材料粒度的减小,微波电磁性能提高,电磁参数之间的匹配性提高;Ⅴ级粒度材料的最低反射率达到-12 dB,低于-5 dB的频宽达12.5 GHz。     

新、旧世界国家葡萄酒氧稳定同位素时空分布特征研究进展

氧稳定同位素是葡萄酒真实性检测的重要指标之一,其比值在自然因素(葡萄品种、地理环境、气候条件)和人为因素(栽培管理、酿酒工艺)影响下,在不同产地显示出不同时空分布特征。欧盟等旧世界国家已率先建立葡萄酒水中氧稳定同位素的测定方法及数据库,并将其应用于葡萄酒真实性检测中。然而,国内外在葡萄酒氧稳定同位素时空分布特征方面的研究较少,尚未形成统一数据平台,难以实现数据共享。本文总结了新世界(中国、美国、澳大利亚、智利等)和旧世界(西班牙、法国、意大利、奥地利等)国家葡萄酒中水的氧稳定同位素数据分布及鉴别应用,概述了影响该比值的因素,并阐述了目前存在问题和今后发展方向,目的在于明确氧稳定同位素比值在世界主要酿酒国家的分布特征,为我国建立葡萄酒氧同位素数据库及真伪鉴别提供数据支持。     

A yeast surface display platform for plant hormone receptors: Toward directed evolution of new biosensors

Small-molecule biosensors have major applications in biotechnology and medicine but remain difficult to engineer. Plant hormone receptors represent an attractive platform for engineering such biosensors because their chemically induced dimerization architectures naturally decouple small-molecule sensing and sensor actuation. Rapid biosensor engineering will require quantitative high-throughput screening methods. Here we develop a yeast surface display (YSD) platform for the PYR1/HAB1 abscisic acid sensor of Arabidopsis thaliana. We extensively optimized PYR1 surface display, HAB1 purification, and binding reaction conditions. Our system reproduces previous results with wild-type and engineered receptors, and a mathematical analysis of the PYR1/HAB1 system allows us to infer all binding constants. Critically, we find that a previously engineered PYR1 receptor with altered ligand specificity binds HAB1 with identical affinity, suggesting that substantial reengineering of the PYR1 binding pocket does not compromise sensor actuation. This YSD platform for A. thaliana PYR1/HAB1 will facilitate future biosensor engineering efforts.     

Dynamic Stabilization of DNA Assembly by Using Pyrrole-Imidazole Polyamide

We used N-methylpyrrole (Py)-N-methylimidazole-(Im) polyamide as an exogenous agent to modulate the formation of DNA assemblies at specific double-stranded sequences. The concept was demonstrated on the hybridization chain reaction that forms linear DNA. Through a series of melting curve analyses, we demonstrated that the binding of Py−Im polyamide positively influenced both the HCR initiation and elongation steps. In particular, Py−Im polyamide was found to drastically stabilize the DNA duplex such that its thermal stability approached that of an equivalent hairpin structure. Also, the polyamide served as an anchor between hairpin pairs in the HCR assembly, thus improving the originally weak interstrand stability. We hope that these proof-of-concept results can inspire future use of Py−Im polyamide as a molecular tool to modulate the formation of DNA assemblies.