LaO_x(OH)_y supported platinum catalysts for CO oxidation:Deactivation by formation of lanthanum carbonate

Platinum catalyst for CO oxidation has been studied for decades,due to its high activity and good stability.In this work,we prepared three different lantha num oxide or hydroxide supports(LaO_x(OH)_y),and deposited platinum(Pt) with 0.5 at% via an impregnation approach to synthesize Pt/LaO_x(OH)_y catalysts.However,we find that these catalysts perform a poor stability for the CO oxidation reaction.The fresh and used samples were comprehensively characterized by multiple techniques including power X-ray diffraction(XRD),X-ray absorption fine structure(XAFS),transmission electron microscopy(TEM),temperature-programmed reduction by carbon monoxide(CO-TPR) and thermogravimetric analysis(TGA),to demonstrate that the oxidized platinum atoms or clusters,without any component of Pt-Pt metallic bond,are highly dispersed on the surface of LaO_x(OH)_y.Furthermore,the as-formed lanthanum carbonate(La₂O₂CO₃) during the exposure to ambient circumstances or in the reaction atmosphere of CO+O₂,severely impair the reactivity of Pt/LaO_x(OH)_y.On the basis of the obtained experimental results,we have drawn a conclusion that the oxidized P_tO_x atoms or PtxOy clusters are the active species for CO oxidation,while the formation of lanthanum carbonate is the origin of deactivation on reactivity.     

栀子食用人群栀子苷暴露评估

目的 了解我国居民栀子食用情况,评估我国栀子食用人群栀子苷暴露水平及健康风险。方法 通过文献检索和专项监测收集我国栀子中栀子苷含量数据,结合2019—2022年我国食药物质消费量调查数据,采用简单分布方法和概率评估方法获得我国不同人群通过食用栀子的栀子苷暴露水平及健康风险。结果 我国9省栀子食用率为10.32%,每日食用量均值为0.36 g,高消费人群每日栀子食用量为1.48 g。简单分布评估显示,9省栀子食用人群的栀子苷每日平均暴露量为0.29 mg/kg·BW,高消费人群（P95）栀子苷暴露量为1.28 mg/kg·BW,9省栀子食用人群中有17.20%的居民通过食用栀子的栀子苷暴露量超过其每日可耐受摄入量（TDI,0.386 mg/kg·BW）。河南省食用人群每日平均暴露量最高,为0.54 mg/kg·BW。概率评估结果显示,我国14.70%的栀子食用人群栀子苷暴露量超过TDI,具有潜在健康风险。结论 我国栀子食用人群的栀子苷暴露风险总体较低,但部分高消费人群（P95）存在健康风险。     

Local multi-model integrated soft sensor based on just-in-time learning for mechanical properties of hot strip mill process

The mechanical properties of hot rolled strip are the key index of product quality,and the soft sensing of them is an important decision basis for the control a...     

The research on floe ice force acting on the"Xue Long"icebreaker based on synthetic ice test and virtual mass numerical method

When the ice-going ships advance in the polar region,the navigation in the floe ice region is often encountered,the hull will suffer the high-frequency contact ...     

Unsourced Multiple Access for 6G Massive Machine Type Communications

Unsourced multiple access(UMA) is a multi-access technology for massive, low-power, uncoordinated, and unsourced Machine Type Communication(MTC) networks. It ensures transmission reliability under the premise of high energy efficiency.Based on the analysis of the 6G MTC key performance indicators(KPIs) and scenario characteristics,this paper summarizes its requirements for radio access networks. Following this, the existing multiple access models are analyzed under these standards to determine U...     

Reprogramming Metabolism of Macrophages as a Target for Kidney Dysfunction Treatment in Autoimmune Diseases

Chronic kidney disease (CKD), as one of the main complications of many autoimmune diseases, is difficult to cure, which places a huge burden on patients’ health and the economy and poses a great threat to human health. At present, the mainstream view is that autoimmune diseases are a series of diseases and complications caused by immune cell dysfunction leading to the attack of an organism’s tissues by its immune cells. The kidney is the organ most seriously affected by autoimmune diseases as it has a very close relationship with immune cells. With the development of an in-depth understanding of cell metabolism in recent years, an increasing number of scientists have discovered the metabolic changes in immune cells in the process of disease development, and we have a clearer understanding of the characteristics of the metabolic changes in immune cells. This suggests that the regulation of immune cell metabolism provides a new direction for the treatment and prevention of kidney damage caused by autoimmune diseases. Macrophages are important immune cells and are a double-edged sword in the repair process of kidney injury. Although they can repair damaged kidney tissue, over-repair will also lead to the loss of renal structural reconstruction function. In this review, from the perspective of metabolism, the metabolic characteristics of macrophages in the process of renal injury induced by autoimmune diseases are described, and the metabolites that can regulate the function of macrophages are summarized. We believe that treating macrophage metabolism as a target can provide new ideas for the treatment of the renal injury caused by autoimmune diseases.     

含短纤维胎面胶的混炼工艺

介绍了含短纤维胎面胶的混炼工艺,分析了在混炼过程中短纤维在橡胶中的混合分散模型.指出当短纤维-橡胶复合材料处于最佳黏度状态时,混炼效果最佳.     

A super resolution approach for spectral unmixing of remote sensing images

It is well known that coarse spatial resolution is an important factor for the occurrence of mixed pixels in remote sensing images, and conventional approaches for spectral unmixing adopt various techniques on spectral dimension only in a fixed spatial resolution. In this article, a super resolution (SR) approach for spectral unmixing is proposed, based on the assumption that increasing the spatial resolution helps to retrieve the composition of a pixel. Firstly, a remote sensing image is downscaled into an SR image using example-based kernel ridge regression (EBKRR). Secondly, the SR image is classified using supervised hard classification, and then the class map is decomposed into thematic class layers. Thirdly, the thematic class layers are upscaled into the original spatial resolution with an averaging operation, and the abundance maps are finally derived. In two simulated data-based experiments and one ground data-based experiment, this approach was compared with linear spectral mixture analysis (LSMA) and artificial neural network (ANN)-based spectral unmixing methods. The accuracy assessment indicated that the SR approach outperformed LSMA and ANN under measurements of mean absolute error and absolute bias in the three experiments.