国内聚乙烯产品结构变化对α-烯烃发展的影响

论述了线型聚乙烯(HDPE/LLDPE)产品与α–烯烃的关系,分析了国内线型聚乙烯的供需增长、产品结构变化及α–烯烃在聚乙烯生产中的主要应用,提出随着国家经济"双循环"时代来临,聚乙烯产品结构的调整必将驱动对α–烯烃共聚单体(尤其是1–己烯和1–辛烯)的需求,对于促进高碳α–烯烃的国产化及产业发展有显著推动作用.     

边缘AI的霜雪识别系统设计与实现

为提高霜雪识别系统的识别率,开展了基于边缘AI的霜雪识别系统设计。综合海思嵌入式处理器Hi3559A高算力、低功耗特点,硬件部分采用模块复用的方法降低功耗和资源消耗,软件部分,从模型训练、模型量化、模型部署入手对MobileNetV2图像分类网络和ISP自适应处理算法进行改进,最终识别率99.7%,预处理时间0.3 s,图像分类时间0.8 s,模组平均功率2 W,鲁棒性好、性能稳定。由此可见Hi3559A智能相机模组可有效纠正雪深探测仪的疑误数据。     

玻璃纤维分束器工艺技术改进研究与应用

为了降低玻璃纤维生产成本,提升分束纱产品质量,增加市场竞争优势,根据分束纱生产工艺线特点,从分束器设计开发及工艺技术调整应用方面进行攻关,研制开发出了特殊的拉丝分束装置,解决了拉丝过程中玻璃纤维在分束器处飞丝和浸润剂浪费的问题.     

玻璃熔窑烟气高温脱硫除尘脱硝一体化工艺

针对玻璃熔窑传统烟气处理工艺存在的问题,阐述高温脱硫除尘脱硝一体化工艺流程及其在玻璃生产中烟气处理的应用优势,分析其关键设备陶瓷催化剂袋式过滤器的工艺原理和优缺点,为玻璃行业的烟气净化提供更加一体化的处理方案.     

综合能源互联网配电网故障定位与隔离的研究

基于"互联网+"的智慧能源互联网综合服务是互联网在电力行业的体现,充分利用了计算机技术、信息技术及人工智能技术等,具有信息的高效处理与状态的全面感知等优点,是实现万物互联互通的重要手段.现阶段配电网故障定位与隔离存在过程较繁琐、计算量及存储量大等缺陷,因此结合互联网中边缘计算的思想,提出一种基于综合能源互联网的配电网故障定位与隔离方法,设计了适用于综合能源互联网中配电网故障定位与隔离的模式与算法,实现了高效、快速定位的目标,同时减少了计算量与存储量,最后通过算例验证了方法的有效性.     

大型非周期相控阵天线协同设计

针对大型非周期相控阵天线的特点,提出一种多学科、多领域协同设计的方法。然后运用该方法指导两个产品天线设计,围绕协同设计的典型流程和几个关键控制点展开论述。在测试阶段实测天线的主要指标,天线1辐射端面平面度≤1.4 mm,栅瓣电平≤-20 dB,天线2辐射端面平面度≤1.1 mm,栅瓣电平≤-18 dB,实测数据与仿真结果吻合,各项指标优于设计输入要求,使用性能良好,验证协同设计方法的有效性。最后指明大型非周期相控阵天线协同设计的进一步研究方向。     

Isolation and Functional Characterization of a Salt-Responsive Calmodulin-Like Gene MpCML40 from Semi-Mangrove Millettia pinnata

Salt stress is a major increasing threat to global agriculture. Pongamia (Millettia pinnata), a semi-mangrove, is a good model to study the molecular mechanism of plant adaptation to the saline environment. Calcium signaling pathways play critical roles in the model plants such as Arabidopsis in responding to salt stress, but little is known about their function in Pongamia. Here, we have isolated and characterized a salt-responsive MpCML40, a calmodulin-like (CML) gene from Pongamia. MpCML40 protein has 140 amino acids and is homologous with Arabidopsis AtCML40. MpCML40 contains four EF-hand motifs and a bipartite NLS (Nuclear Localization Signal) and localizes both at the plasma membrane and in the nucleus. MpCML40 was highly induced after salt treatment, especially in Pongamia roots. Heterologous expression of MpCML40 in yeast cells improved their salt tolerance. The 35S::MpCML40 transgenic Arabidopsis highly enhanced seed germination rate and root length under salt and osmotic stresses. The transgenic plants had a higher level of proline and a lower level of MDA (malondialdehyde) under normal and stress conditions, which suggested that heterologous expression of MpCML40 contributed to proline accumulation to improve salt tolerance and protect plants from the ROS (reactive oxygen species) destructive effects. Furthermore, we did not observe any measurable discrepancies in the development and growth between the transgenic plants and wild-type plants under normal growth conditions. Our results suggest that MpCML40 is an important positive regulator in response to salt stress and of potential application in producing salt-tolerant crops.     

X-ray Fluorescence Uptake Measurement of Functionalized Gold Nanoparticles in Tumor Cell Microsamples

Quantitative cellular in vitro nanoparticle uptake measurements are possible with a large number of different techniques, however, all have their respective restrictions. Here, we demonstrate the application of synchrotron-based X-ray fluorescence imaging (XFI) on prostate tumor cells, which have internalized differently functionalized gold nanoparticles. Total nanoparticle uptake on the order of a few hundred picograms could be conveniently observed with microsamples consisting of only a few hundreds of cells. A comparison with mass spectroscopy quantification is provided, experimental results are both supported and sensitivity limits of this XFI approach extrapolated by Monte-Carlo simulations, yielding a minimum detectable nanoparticle mass of just 5 pg. This study demonstrates the high sensitivity level of XFI, allowing non-destructive uptake measurements with very small microsamples within just seconds of irradiation time.     

Usher Syndrome in the Inner Ear: Etiologies and Advances in Gene Therapy

Hearing loss is the most common sensory disorder with ~466 million people worldwide affected, representing about 5% of the population. A substantial portion of hearing loss is genetic. Hearing loss can either be non-syndromic, if hearing loss is the only clinical manifestation, or syndromic, if the hearing loss is accompanied by a collage of other clinical manifestations. Usher syndrome is a syndromic form of genetic hearing loss that is accompanied by impaired vision associated with retinitis pigmentosa and, in many cases, vestibular dysfunction. It is the most common cause of deaf-blindness. Currently cochlear implantation or hearing aids are the only treatments for Usher-related hearing loss. However, gene therapy has shown promise in treating Usher-related retinitis pigmentosa. Here we review how the etiologies of Usher-related hearing loss make it a good candidate for gene therapy and discuss how various forms of gene therapy could be applied to Usher-related hearing loss.     

Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters

RNA-seq has been a powerful method to detect the differentially expressed genes/long non-coding RNAs (lncRNAs) in schizophrenia (SCZ) patients; however, due to overfitting problems differentially expressed targets (DETs) cannot be used properly as biomarkers. This study used machine learning to reduce gene/non-coding RNA features. Dorsolateral prefrontal cortex (dlpfc) RNA-seq data from 254 individuals was obtained from the CommonMind consortium. The average predictive accuracy for SCZ patients was 67% based on coding genes, and 96% based on long non-coding RNAs (lncRNAs). Machine learning is a powerful algorithm to reduce functional biomarkers in SCZ patients. The lncRNAs capture the characteristics of SCZ tissue more accurately than mRNA as the former regulate every level of gene expression, not limited to mRNA levels.