Ultralight and robustly compressible silica aerogel enhanced by AC/C sponge with high oil/water separation

Journal of Porous Materials - In recent years, oil spills and industrial organic pollutants have caused irreparable damage to the environment and biological ecosystems. Therefore, the treatment of...     

Tuning Parameter Selection Based on Blocked $$3\times 2$$3×2 Cross-Validation for High-Dimensional Linear Regression Model

Neural Processing Letters - In high-dimensional linear regression, selecting an appropriate tuning parameter is essential for the penalized linear models. From the perspective of the expected...     

Ni@N-doped graphene nanosheets and CNTs hybrids modified separator as efficient polysulfide barrier for high-performance lithium sulfur batteries

Lithium-sulfur batteries (LSBs) have been regarded as one of the most promising energy storage systems to break through the upper limit of lithium-ion batteries. However, the rampant diffusions of soluble lithium polysulfides (LiPSs) in the electrolyte induced the shuttle effect between anode and cathode, resulting in low sulfur utilization, low energy efficiency and short cycling life. Herein, we prove the rational design and construction of Ni nanoparticles filled in vertically grown N-doped bamboo-like carbon nanotubes (CNTs) on graphene nanosheets (Ni@NG-CNTs) as efficient polysulfide barrier for high-performance LSBs. The unique design integrates graphene nanosheets and CNTs into hierarchical architectures with one-dimensional (1D) CNTs, two-dimensional (2D) ultrathin nanosheets and abundant carbon nanocages. This design provides large surface area for lithium polysulfides (LiPSs) adsorption, accelerates electron transport and enhances electrochemical redox of LiPSs. Benefiting from the unique structural features, the LSBs with the Ni@NG-CNTs as polysulfide barrier keep high reversible specific capacities of 309.1 and 265.0 mAh·g⁻¹ at 5 and 10 C rates after 500 cycles. This work provides a new strategy for constructing self-assembled hybrids of CNTs and graphene nanosheets with abundant carbon nanocages for high-performance LSBs.

     

扬子江城市群工业能源碳排放与经济增长脱钩水平及驱动因素

扬子江城市群地处长江经济带的下游重要门户地区，是江苏省“1+3”重点功能区发展的龙头引擎，打造扬子江城市群的绿色生态走廊对建设“强富美高”新江苏和落实长江大保护均具有重要战略意义。论文聚焦扬子江城市群工业能源碳排放脱钩及其驱动因素分析，研究得出：1）扬子江城市群整体工业碳排放量呈现波动上升的变化趋势，其中南京市和苏州市的碳排放增量明显大于其他城市；2）扬子江城市群工业能源碳排放脱钩大致经历了扩张连接、强脱钩以及弱脱钩3个阶段，整体上脱钩水平逐渐提高，但稳定性不高，各城市工业能源碳排放脱钩水平差异较大，但在逐步优化中；3）从驱动因素看，碳排放强度效应和能源强度效应对脱钩水平有促进作用，工业经济规模效应、区域经济比重和能源结构则相反。基于此，论文提出加强低碳城市试点建设、探索构建全域碳权交易市场、调整优化能源结构、推动科技创新等建议，以促进扬子江城市群工业建设高质量发展。     

多孔石墨烯/碳纳米管@V2O5柔性电极材料制备及性能研究

以氧化石墨、碳纳米管、三异丙氧基氧化钒为原料,采用化学刻蚀法、水热法、真空抽滤法制备一种具有三维离子扩散通道和整体导电网络结构的致密多孔石墨烯/碳纳米管@五氧化二钒(PGNs/CNT@V2O5)复合薄膜材料。电化学性能测试结果表明,在1 mol/L LiNO3水系条件中,电流密度为1 A/g时,比容量高达187 F/g,在100 mV/s扫描速度下,循环5000次后,容量保持率仍为83.4%。     

四川省植被覆盖时空演变及未来变化趋势分析

四川省地处长江上游,是长江流域重要的生态屏障;解析该区域植被覆盖的时空演变特征,对长江上游的生态环境修护与治理具有重要意义。基于长时间序列的MODIS NDVI数据,解析2000~2016年间四川省植被的空间分布格局与时间变化特征;采用趋势分析法和Hurst指数,预测未来植被的变化趋势及持续性。结果表明:(1)四川省NDVI多年平均值为0.50,植被覆盖整体上呈现川东高于川西的空间分布特征;(2)2000~2016年间,四川省的NDVI值在0.48至0.53之间波动,整体呈上升趋势,增长率为0.002 5/a;(3)植被覆盖度在未来变化将呈现改善大于退化的趋势;植被持续性改善的面积大于持续性退化的面积。     

基于机器视觉的手机电池表面缺陷检测

针对手机电池表面质量人工检测情况,开发了电池表面缺陷无损检测系统软件。首先电池表面经过倾斜矫正、感兴趣区域提取和字符灰度值修改等预处理操作,通过基于灰度密度分布和灰度差的自适应阈值亮度法对感兴趣区域进行子图像遍历,融合有重合区域的缺陷子图像并滤除没有明显缺陷的区域;然后采用支持向量机多种类分类法,提取二值图像像素分布规律作为训练特征,识别电池表面缺陷种类;最后设计了人机交互界面,确定最佳的可变参数,实验测试缺陷识别率达95%以上。     

In-line characterization of dispersion uniformity evolution during a twin-screw blending extrusion based on near-infrared spectroscopy

Properties of an immiscible polymer blend have been proved to be closely related to dispersion uniformity of the minor phase. At present, dispersion uniformity is difficult to evaluate during the blending process, resulting in hysteretic feedback. Aiming at this problem, this work utilized near-infrared (NIR) spectroscopy to in-line characterize dispersion uniformity evolution during a twin-screw extrusion. A multichannel NIR measurement system was set up and applied to evaluate the blending process of polypropylene and polyolefin elastomer (POE). Based on the NIR spectra collected at different positions of the extruder, five prediction models of POE content were established using the light gradient boosting machine algorithm. Dispersion uniformity was characterized through the fluctuation of the predicted content. The evolution of dispersion under such processing parameters was consistent with scanning electron microscopy.     

Bioaugmentation of two-stage aerobic sequencing batch reactor with mixed strains for high nitrate nitrogen wastewater treatment

Mixed strains Delftia sp.YH01 and Acidovorax sp.YH02, with capability of heterotrophic nitrification-aerobic denitrification, were introduced into a two-stage aerobic sequencing batch reactor to enhance NO₃⁻-N removal. With optimal C/N of 8, efficient NO₃⁻-N removal was achieved at initial NO₃⁻-N concentration of 2000 mg·L⁻¹. Meanwhile, the massive accumulation of NO₂⁻-N was avoided during the long operation. Compared to the one-stage aerobic sequencing batch reactor, the removal efficiency of NO₃⁻-N and TN in the two-stage aerobic sequencing batch reactor was increased by 36.5% and 42.7%, which respectively was 93.8% and 88.4%. Microbial community study showed that the mixed strains have the stronger viability and can synergistically denitrify with the indigenous microorganisms in system, such as Azoarcus, Uncultured Saprospiraceae, Thauera, Paracocccus, which could be major contributors for aerobic denitrification. The proposed technology was shown to achieve high-efficiency treatment of high NO₃⁻-N wastewater through aerobic denitrification.