Filtering for bilinear systems with a lipschitz nonlinearity using LPV approach

This paper deals with the H _?? filtering problem for a class of nonlinear systems. This class of nonlinear systems is composed of a bilinear part and of a lipschitzian one. The use of an unbiasedness condition for the bilinear part (called quasi unbiasedness condition) permits to parameterize the filter matrices through a single gain. Two LPV (Linear Parameter Varying) extensions of the bounded real lemma are used to solve the filtering problem. This approach reduces the conservatism inherent to the boundedness of the inputs. Then the filtering solution is expressed in terms of LMI (Linear Matrix Inequality) to be verified at the vertices of a polytope. A numerical example is finally given to illustrate our approach.     

Web模式的仿真想定编辑与管理系统设计

基于虚拟战场对战场态势信息的需求,构建了Web模式的仿真想定编辑与管理系统,该系统包括仿真想定的输入,管理,编辑,标绘,输出等功能模块。在地理信息系统（Geographic Information System,GIS）和军标库等的支持下,用户可以根据具体的仿真需求,通过对仿真想定进行可视化编辑,简单灵活地实现对战场初始态势信息的输入。同时系统加强对已有的仿真想定的统一管理,建立仿真想定库,便于用户获取已有的仿真想定,大大提高其重用率,减少了不必要的重复劳动。     

Energy Metabolites as Biomarkers in Ischemic and Dilated Cardiomyopathy

With more than 25 million people affected, heart failure (HF) is a global threat. As energy production pathways are known to play a pivotal role in HF, we sought here to identify key metabolic changes in ischemic- and non-ischemic HF by using a multi-OMICS approach. Serum metabolites and mRNAseq and epigenetic DNA methylation profiles were analyzed from blood and left ventricular heart biopsy specimens of the same individuals. In total we collected serum from n = 82 patients with Dilated Cardiomyopathy (DCM) and n = 51 controls in the screening stage. We identified several metabolites involved in glycolysis and citric acid cycle to be elevated up to 5.7-fold in DCM (p = 1.7 × 10⁻⁶). Interestingly, cardiac mRNA and epigenetic changes of genes encoding rate-limiting enzymes of these pathways could also be found and validated in our second stage of metabolite assessment in n = 52 DCM, n = 39 ischemic HF and n = 57 controls. In conclusion, we identified a new set of metabolomic biomarkers for HF. We were able to identify underlying biological cascades that potentially represent suitable intervention targets.     

从锌锗浸出液中提取锗的研究进展

锗资源开发对通讯和航空航天行业的发展具有重要的战略意义,由于提取锗的原料有限,所以开发和优化锗提取工艺受到日益关注.通过综述国内外从锌锗浸出液中提取锗的研究进展,对比多种锗的提取方法,总结出单宁沉锗法为应用最广泛的提锗方法.该方法具有绿色环保、操作简单的优点,但也存在单宁用量大,锗直收率低等问题亟待解决.基于超声波具有频率高、方向性好等优点,且已成功应用于湿法冶金工业中,因此进一步提出将超声外场引入单宁沉锗工艺中,并详细分析了超声外场强化的可行性和机理,以期降低单宁酸用量,提高锗直收率.指出超声外场强化单宁沉锗新工艺具有很好的研究和应用前景.     

多网融合方案在电力基建工程现场中应用研究

针对输变电工程陆续开展基建智慧工地,智慧物联系统平台建设已成为常态,目前建设思路主要是通过基于"大、云、物、移、智"开展新技术、新产品的应用,实现"人、机、料、法、环、测"等施工现场六要素的感知采集,以支撑智慧工地及基建信息化的业务开展.如何实现施工现场感知层数据、视频流数据以及业务数据三类数据的传输,并实现设备安装布设无线化、部署简易化,是重点思考和解决的方向,提出建设以5G(generation)专网为主,无线接入点(access point,AP)网络、远距离(long range,LoRa)通信网络为辅的多网融合方案,开展智慧工地网络层的建设,以支撑智慧工地物联网业务的开展,提供高质量、高体验的网络层支撑.     

高导热无溶剂绝缘漆的开发及性能研究

在环氧改性不饱和聚酯树脂中添加无机氧化物导热材料可提高绝缘漆的导热性能.研究了填料粒径、表面改性对绝缘漆沉降的影响,以及不同填料含量对绝缘漆导热系数、黏度的影响,在此研究基础上制备了高导热无溶剂绝缘漆并对其性能进行了表征.结果表明:对填料进行表面改性可以降低其沉降速度;当填料含量为40％时,绝缘漆的黏度为72 s,导热系数达到0.46 W/(m·K),40℃下静置6天无沉降,具有很好的实际应用价值.     

Electrolytic cell engineering and device optimization for electrosynthesis of e-biofuels via co-valorisation of bio-feedstocks and captured CO2

Utilizing CO₂ in an electro-chemical process and synthesizing value-added chemicals are amongst the few viable and scalable pathways in carbon capture and utilization technologies.CO₂ electro-reduction is also counted as one of the main options entailing less fossil fuel consumption and as a future electrical energy storage strategy.The current study aims at developing a new electrochemical platform to produce low-carbon e-biofuel through multifunctional electrosynthesis and integrated co-valorisation of biomass feedstocks with captured CO₂.In this approach,CO₂ is reduced at the cathode to produce drop-in fuels(e.g.,methanol)while value-added chemicals(e.g.,selective oxidation of alcohols,aldehydes,carboxylic acids and amines/amides)are produced at the anode.In this work,a numerical model of a continuous-flow design considering various anodic and cathodic reactions was built to determine the most techno-economically feasible configurations from the aspects of energy efficiency,environment impact and economical values.The reactor design was then optimized via parametric analysis.     

Pharmacologic Control of CAR T Cells

Chimeric antigen receptor (CAR) therapy is a promising modality for the treatment of advanced cancers that are otherwise incurable. During the last decade, different centers worldwide have tested the anti-CD19 CAR T cells and shown clinical benefits in the treatment of B cell tumors. However, despite these encouraging results, CAR treatment has also been found to lead to serious side effects and capricious response profiles in patients. In addition, the CD19 CAR success has been difficult to reproduce for other types of malignancy. The appearance of resistant tumor variants, the lack of antigen specificity, and the occurrence of severe adverse effects due to over-stimulation of the therapeutic cells have been identified as the major impediments. This has motivated a growing interest in developing strategies to overcome these hurdles through CAR control. Among them, the combination of small molecules and approved drugs with CAR T cells has been investigated. These have been exploited to induce a synergistic anti-cancer effect but also to control the presence of the CAR T cells or tune the therapeutic activity. In the present review, we discuss opportunistic and rational approaches involving drugs featuring anti-cancer efficacy and CAR-adjustable effect.