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In the field of freight transport, the goal of sustainable development requires us to improve the efficiency of freight transport while reducing its negative impact on the environment, such as reducing carbon emissions and noise pollution. There is no doubt that changes in freight characteristics and volumes are compatible with the objectives of sustainable development. Thus, mining the travel distribution and freight volume of trucks has an important supporting role in the freight transport industry. In terms of truck travel, most of the traditional approaches are based on the subjective definition of parameters from the trajectory data to obtain trips for certain vehicle types. As for freight volume, it is mostly estimated through manual surveys, which are heavy and inaccurate. In this study, a data-driven approach is adopted to obtain trips from the trajectory data of heavy trucks. Combined with the traffic percentage of different vehicle types collected by highway traffic survey stations, the trips of heavy trucks are extended to all trucks. The inter-city and intra-city freight volumes are estimated based on the average truck loads collected at the motorway entrance. The results show a higher proportion of intra-city trips by trucks in port cities and a higher proportion of inter-city trips by trucks in inland cities. Truck loading and unloading times are focused in the early morning or at night, and freight demand in Shandong Province is more concentrated in the south. These results would provide strong support for optimizing freight structures, improving transportation efficiency, and reducing transportation costs. [ABSTRACT FROM AUTHOR]

The hydrogenation of CO2 to free formic acid is not only one of the most effective measures to make waste profitable, but also a significant and promising method for the hydrogen storage. Herein, we firstly achieved the hydrogenation of CO2 to free formic acid at room temperature over Pd/MgAl‐LDH and the TON of free HCOOH could reach 116. The Ni dopant could further improve the performance of the catalyst and the TON could increase to 134 over PdNi/MgAl‐LDH, which results from more electronic‐rich Pd centre. It was also found that the chemical composition of LDH could affect the catalytic performance due to different alkalinity. [ABSTRACT FROM AUTHOR]

Gas sensors are essential for detecting toxic gases that can harm social life or industrial production. Traditional metal oxide semiconductor (MOS)-based sensors suffer from shortcomings such as high operating temperature and slow response time, which limits their detection capabilities. Thus, there is a need to improve their performance. One useful technique is noble metal functionalization, which can effectively enhance the response/recovery time, sensitivity and selectivity, sensing response, and optimum operating temperature of MOS gas sensors. Among the noble metals, Au NPs are considered a promising material for forming composite sensing materials to achieve better sensing performance. This paper aims to review and discuss the recent research on Au-decorated MOS-based sensors, including Au/n-type MOS-based sensors, Au/p-type MOS-based sensors, Au/MOS/carbon composite materials, and Au/MOS/perovskite composite materials. The sensing mechanism of Au-functionalized MOS-based materials will also be examined. [ABSTRACT FROM AUTHOR]

A systematic study on the structural properties and component information of periodic mesoporous organosilicas synthesized by using different nonionic surfactants as templates with compressed CO 2 was carried out. Triblock copolymers (F127, F108, and P123), oligomeric alkyl poly(ethylene oxide) (Brij-58 and Brij-76), and alkyl-phenol poly(ethylene oxide) (TX-100) have been employed as templates and BTEB as a bridged organosilica precursor to synthesize PMO materials at 5.90 MPa. The structure and morphology of the obtained materials were investigated by means of transmission electron microscopy (TEM), nitrogen sorption isotherms, solid Si and C NMR, and FTIR. Efforts have also been made to compare the differences in structural and morphological properties among these samples synthesized under similar conditions. We also investigate the synthesis of PMOs using F127 as the template at different CO 2 pressures. It was found that the interaction between different organic silica precursors and surfactants with a variety of hydrophilic and hydrophobic chains is the key factor for the disorder degree of mesostructures. On this basis, the possible mechanism of formation of PMOs synthesized using a nonionic surfactant (triblock copolymer) as the template with compressed CO 2 is illustrated and discussed.

Objective: To investigate the effects of Artesunate on expression of MCP-1 and MCP-1 mRNA in renal tissue of the rat experimental IgA nephropathy model., Methods: 40 rats were divided randomly into 4 groups with 10 rats in normal control group while the other 30 in model control group, low dose Artesunate group and high dose Artesunate group after the establishment of IgA nephropathy model. MCP-1 and MCP-1 mRNA in renal tissue were tested by immunohistochemical and RT-PCR methods., Results: The expression of MCP-1 mRNA in model control group was significantly increased (0.4726+/-0.086 vs 0.1445+/-0.095, P<0.05, compared with normal control group), which was suppressed in low dose Artesunate group (0.2844+/-0.065) and high dose Artesunate group (0.2184+/-0.058) (both P<0.05, compared with model control group). In addition, hemouria, proteinuria and pathological changes in renal tissue were improved in the Artesunate groups., Conclusion: Artesunate shows the ability of downregulating the expression of MCP-1 in renal tissue, which may explain one of the mechanisms of Artesunate effectiveness in clinical treatment of IgA nephropathy.