A three‐phase solvent extraction system combined with deep eutectic solvent‐based dispersive liquid–liquid microextraction for extraction of some organochlorine pesticides in cocoa samples prior to gas chromatography with electron capture detection

A sample pretreatment method based on the combination of a three‐phase solvent extraction system and deep eutectic solvent‐based dispersive liquid–liquid microextraction has been introduced for the extraction of four organochlorine pesticides in cocoa samples before their determination by gas chromatography‐electron capture detection. A mixture of sodium chloride, acetonitrile, and potassium hydroxide solution is added to cocoa bean or powder. After vortexing and centrifugation of the mixture, the collected upper phase (acetonitrile) is removed and mixed with a few microliters of N,N‐diethanol ammonium chloride: pivalic acid deep eutectic solvent. Then it is rapidly injected into deionized water and a cloudy solution is obtained. Under optimum conditions, the limits of detection and quantification were found to be 0.011‐0.031 and 0.036‐0.104 ng/g, respectively. The obtained extraction recoveries varied between 74 and 92%. Also, intra‐ (n = 6) and interday (n = 4) precisions were less than or equal to 7.1% for the studied pesticides at a concentration of 0.3 ng/g of each analyte. The suggested method was applied to determine the studied organochlorine pesticide residues in various cocoa powders and beans gathered from groceries in Tabriz city (Iran) and aldrin and dichlobenil were found in some of them.     

The Stabilization Effect of CO2 in Lithium–Oxygen/CO2 Batteries

The lithium (Li)–air battery has an ultrahigh theoretical specific energy, however, even in pure oxygen (O₂), the vulnerability of conventional organic electrolytes and carbon cathodes towards reaction intermediates, especially O₂^?, and corrosive oxidation and crack/pulverization of Li metal anode lead to poor cycling stability of the Li‐air battery. Even worse, the water and/or CO₂ in air bring parasitic reactions and safety issues. Therefore, applying such systems in open‐air environment is challenging. Herein, contrary to previous assertions, we have found that CO₂ can improve the stability of both anode and electrolyte, and a high‐performance rechargeable Li–O₂/CO₂ battery is developed. The CO₂ not only facilitates the in situ formation of a passivated protective Li₂CO₃ film on the Li anode, but also restrains side reactions involving electrolyte and cathode by capturing O₂^?. Moreover, the Pd/CNT catalyst in the cathode can extend the battery lifespan by effectively tuning the product morphology and catalyzing the decomposition of Li₂CO₃. The Li–O₂/CO₂ battery achieves a full discharge capacity of 6628 mAh g^?1 and a long life of 715 cycles, which is even better than those of pure Li–O₂ batteries.     

Pebax‐Based Membrane Filled with Two‐Dimensional Mxene Nanosheets for Efficient CO2 Capture

Mixed matrix membranes (MMMs) made from inorganic fillers and polymers is a kind of promising candidate for gas separation. In this work, two‐dimensional MXene nanosheets were synthesized and incorporated into a polyether‐polyamide block copolymer (Pebax) matrix to fabricate MMM for CO₂ capture. The physicochemical properties of MXene nanosheets and MXene/Pebax membranes were studied systematically. The introduction of MXene nanosheets provided additional molecular transport channels and meanwhile enhanced the CO₂ adsorption capacity, thereby enhancing both the CO₂ peremance and CO₂/N₂ selectivity of Pebax membrane. The optimized MXene/Pebax membrane with a MXene loading of 0.15 wt % displayed a high separation performance with a CO₂ permeance of 21.6 GPU and a CO₂/N₂ selectivity of 72.5, showing potential application in CO₂ capture.     

用于HDTV视频解码器的高性能SDRAM控制器

该文提出了一种适用于HDTV视频解码器的高性能SDRAM控制器。通过为SDRAM控制器设置多个端口并集成仲裁功能,该SDRAM控制器可以取代传统的总线＋DMA结构,为解码器中的功能单元有效地分配存储器的带宽资源。该文提出的SDRAM控制器内建流水线式的地址和数据路径,配合SDRAM本身流水处理指令的特性,能够无延时地处理各个端口上的存储器访问请求,从而降低了对片上缓存的需求。仿真综合结果表明,该文设计的SDRAM控制器满足HDTV解码的性能要求,且与总线＋DMA结构相比,片上缓存容量减少了约70%。     

提高频谱仪对小信号的测量能力

灵敏度体现了频谱仪对小信号的测量能力.本文通过对频谱仪工作原理的分析,得出了频谱仪主要参数设置与灵敏度的关系,提出了几种提高频谱仪对小信号测量能力的措施.     

预警卫星对弹道导弹航迹捕获算法

对弹道导弹目标捕获方法是空间预警系统的关键技术。该文通过对导弹推力加速度的分析,提出了目标在像平面的非线性运动模型。通过概率数据关联(PDA)求得等效的似然函数,利用Lagrange乘数法求得最佳的加权概率,使得对数似然比函数最大。结合量测的灰度信息,改善了其在低SNR情况下的检测性能。Monte-Carlo仿真验证了该方法的目标航迹检测性能和目标状态估计精度,仿真结果表明该方法在两方面都优于原有方法,适用于低SNR情况下预警卫星对弹道导弹目标捕获。     

A coding scheme using global motion estimation for AVS P-frame

Block matching has been used for motion estimation and motion compensation in the Audio and Video Standard （AVS） for years. While having an acceptable performance in describing motion between frames, it requires quite a few bits to represent the motion vectors. In certain circumstances, the use of global motion estimation and compensation would perform equally well or even better than the block matching in terms of motion accuracy, while it results in the coding of global motion model parameters. In this letter, we modify an AVS coder by adding （1） six global motion model parameters to the frame header, and （2） mode selection among INTRA, SKIP, INTER-16×16, INTER-16×8, INTER-8×16, INTER-8×8, and Global Motion Compensation （GMC） modes by Lagrange optimal rate-distortion criteria. Simulation results demonstrate that over 0.1dB improvement in PSNR is obtained compared to the AVS coder for an average coded P-frame with the same bitrate.     

一种高精度的压缩域视频目标分割算法

该文提出了一种工作于MPEG压缩域的快速视频目标分割算法。该算法以从MPEG1/2码流中部分解码提取的特征为输入,提取P帧中的运动目标。针对一般的压缩域算法目标边界精度不高的特点,算法采用I帧和P帧中每个块的直流DCT系数和3个交流DCT系数,以及运动补偿信息,重建出P帧的原图像1/16大小的子图像,采用快速平均移聚类得到具有较高边界精度的亮度一致的区域;针对运动向量的噪声容易造成错误检测的缺点,算法结合聚类分析结果和运动块的分布,采用基于马尔可夫随机场的统计标号方法对目标和背景区域进行分类,得到每个P帧的目标掩模。该算法可以得到44子块的边界精度,对于CIF格式的码流,在Pentium IV 2GHz平台上可以达到每秒40帧的处理速度。     

Video object segmentation by 2-D mesh-based motion analysis

Video object extraction is a key technology in content-based video coding.A novel video object extracting algorithm by two Dimensional (2-D) mesh-based motion analysis is proposed in this paper.Firstly,a 2-D mesh fitting the original frame image is obtained via feature detection algorithm. Then,higher order statistics motion analysis is applied on the 2-D mesh representation to get an initial motion detection mask.After post-processing,the final segmenting mask is quickly obtained.And hence the video object is effectively extracted.Experimental results show that the proposed algorithm combines the merits of mesh-based segmenting algorithms and pixel-based segmenting algorithms,and hereby achieves satisfactory subjective and objective performance while dramatically increasing the segmenting speed.