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1,716 result(s) for "Qiao, Zhen"
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Facile electron delivery from graphene template to ultrathin metal-organic layers for boosting CO2 photoreduction
Metal-organic layers with ordered structure and molecular tunability are of great potential as heterogeneous catalysts due to their readily accessible active sites. Herein, we demonstrate a facile template strategy to prepare metal-organic layers with a uniform thickness of three metal coordination layers (ca. 1.5 nm) with graphene oxide as both template and electron mediator. The resulting hybrid catalyst exhibits an excellent performance for CO 2 photoreduction with a total CO yield of 3133 mmol g –1 MOL (CO selectivity of 95%), ca. 34 times higher than that of bulky Co-based metal-organic framework. Systematic studies reveal that well-exposed active sites in metal-organic layers, and facile electron transfer between heterogeneous and homogeneous components mediated by graphene oxide, greatly contribute to its high activity. This work highlights a facile way for constructing ultrathin metal-organic layers and demonstrates charge transfer pathway between conductive template and catalyst for boosting photocatalysis. While solar-to-fuel energy conversion is appealing, materials require accessible active sites for reactants and rapid electron transfer steps. Here, authors support ultrathin metal-organic layers with graphene oxide as both template and electron mediator to boost CO 2 photoreduction performance.
A comprehensive review of landfill leachate treatment technologies
The management of landfill leachate presents a significant environmental challenge, necessitating a comprehensive and dynamic treatment approach. This comprehensive review delves into the critical issue of landfill leachate treatment, exploring its environmental impact, treatment technologies, regulatory frameworks, and the path towards sustainable management practices. This review explores the complexities of landfill leachate, emphasizing the need for sustainable waste management practices to safeguard environmental health. Our analysis highlights the evolution of conventional and advanced treatment technologies designed to mitigate these risks, focusing on membrane technologies, advanced oxidation processes, and the promising potential of emerging techniques such as adsorption and biological nutrient removal. These technologies are evaluated for their efficiency, cost implications, and sustainability impacts, underscoring the challenges and opportunities within the current landscape of leachate treatment. The review aims to provide insights into designing efficient and effective treatment systems through a detailed analysis of conventional and advanced treatment methods. By examining a case study in Changsha City, the effectiveness of a comprehensive treatment system integrating various technologies is demonstrated. The review underscores the interconnectedness of human activities, environmental health, and waste management, emphasizing the importance of a holistic approach. It stresses the continuous improvement of leachate treatment technologies and the adoption of sustainable practices to reduce the environmental footprint of landfills. Ultimately, it calls for integrating multiple treatment processes, economic considerations, and readiness to address future challenges in landfill leachate treatment, contributing to the advancement of sustainable waste management practices.
Scenario evolution modeling and probabilistic assessment of seawater intrusion accident in ports: An integrated framework combining disaster theory and multi-method simulation
As a typical marine disaster, seawater intrusion accidents have posed a serious threat to port production safety due to the double rise in the occurrence frequency and damage intensity. In favor of effectively controlling the scope of disaster impact and formulating more targeted emergency plans, it is particularly significant to carry out accident scenario evolution analysis. Based on the disaster system theory, this study constructed a model for the evolution of seawater intrusion accident scenarios in ports and clarified the probability of occurrence concerning each accident scenario by utilizing qualitative and quantitative methods. The main conclusions of this study were as follows: According to the theoretical framework of “disaster-causing body, disaster-affected body, and disaster-resistant body”, typical scenarios, such as concrete structure erosion and power supply interruption, were identified by scenario element method. By coupling the Petri net, cloud model, and Monte Carlo model, the quantitative derivation of evolutionary paths was realized, which not only retained the organic link between qualitative cognition and quantitative expression but also guaranteed the reliability of the results through ten thousand iterations. The probability grading system of accident scenarios was formed by combining the quantitative results. Among them, S11(Large equipment such as gantry and shore bridges stopped working due to power supply interruption) had the highest probability, with the corresponding value of 57.2%, and was in the “Moderately Likely” level according to the preset interval level. The research can provide a scientific basis for port enterprises to optimize the preparation with regard to emergency plans and improve the post-disaster recovery strategy, helping advance the comprehensive disaster prevention and mitigation capacity of ports.
Deep eutectic solvent assisted facile synthesis of low-dimensional hierarchical porous high-entropy oxides
High-entropy-oxides (HEOs), a new class of solids that contain five or more elemental species, have attracted increasing interests owing to their unique structures and fascinating physicochemical properties. However, it is a huge challenge to construct various nanostructured, especially low-dimensional nanostructured HEOs under the high temperature synthetic conditions. Herein, a facile strategy using glucose-urea deep eutectic solvent (DES) as both a solvent and the carbon source of structure-directed template is proposed for the synthesis of various HEOs with two-dimentional (2D) nanonets and one-dimentional (1D) nanowires, including rock-salt (Co, Cu, Mg, Ni, Zn)O, spinel (Co, Cr, Fe, Mn, Ni) 3 O 4 , and perovskite La(Co, Cr, Fe, Mn, Ni)O 3 . The as-prepared HEOs possessed five or more uniformly dispersed metal elements, large specific surface areas (more than 25 m 2 ·g −1 ), and a pure single-phase structure. In addition, high cooling rate (cooling in air or liq-N 2 -quenching) was indispensable to obtain a single-phase rock-salt (Co, Cu, Mg, Ni, Zn)O because of phase separation caused by copper. By taking advantage of unique features of HEOs, rock-salt (Co, Cu, Mg, Ni, Zn)O can function as a promising candidate for lithium-ion batteries (LIBs) anode material, which achieved excellent cycling stability. This work provides a feasible synthetic strategy for low-dimensional hierarchical HEOs, which creates new opportunities for the stable HEOs being highly active functional materials.
Genome-wide association study identifies 143 loci associated with 25 hydroxyvitamin D concentration
Vitamin D deficiency is a candidate risk factor for a range of adverse health outcomes. In a genome-wide association study of 25 hydroxyvitamin D (25OHD) concentration in 417,580 Europeans we identify 143 independent loci in 112 1-Mb regions, providing insights into the physiology of vitamin D and implicating genes involved in lipid and lipoprotein metabolism, dermal tissue properties, and the sulphonation and glucuronidation of 25OHD. Mendelian randomization models find no robust evidence that 25OHD concentration has causal effects on candidate phenotypes (e.g. BMI, psychiatric disorders), but many phenotypes have (direct or indirect) causal effects on 25OHD concentration, clarifying the epidemiological relationship between 25OHD status and the health outcomes examined in this study. Vitamin D is a precursor of the steroid hormone 1,25-dihydroxyvitamin D3, and its deficiency is associated with many adverse health outcomes. Here, Revez et al. perform a genome-wide association study for circulating 25-hydroxyvitamin D in 417,580 individuals and test for potential causal relationships with other traits using Mendelian randomization.
The logic behind evolution of economic systems under uncertainty and the choice of a socialist market economy
Purpose - This paper aims to determine the status of the socialist market economy through a logical analysis of the evolution of economic systems in human society. Design/methodology/approach - This paper presents an analysis of uncertainty and the functions performed by different economic systems in managing and resolving it, thereby explaining the evolutionary rationale behind economic system evolution. Findings - Firstly, the socialist market economy empowers the market to play a decisive role in resource allocation, which serves as the foundation for activating individuals' motivation to engage in economic activities. Secondly, the socialist market economy adheres to the basic socialist economic system, which is the basis for the socialist market economy to stabilize the economy and society or to address the risk of economic uncertainty that may trigger macro-level inconsistencies in economic operations. Thirdly, the advantages of a socialist market economy in adapting to economic uncertainties do not arise spontaneously and must be exerted through continuous improvement of the socialist market economy. Originality/value - The innovation of this paper lies in introducing uncertainty to clarify the logic behind the evolution of economic systems in human society and explaining the typical significance of the socialist market economy and its advantages in accommodating and resolving uncertainty.
Boosting High-Rate Zinc-Storage Performance by the Rational Design of Mn2O3 Nanoporous Architecture Cathode
Highlights Highly crystalline Mn 2 O 3 materials with tunable pore sizes are obtained and employed as high-performance cathode materials for reversible aqueous Zn-ion battery. The Zn/Mn 2 O 3 battery exhibits significantly improved rate capability and remarkable cycling durability due to the introduction of nanoporous architecture. The Zn 2+ /H + intercalations mechanism is put forward for the Zn/Mn 2 O 3 battery. Manganese oxides are regarded as one of the most promising cathode materials in rechargeable aqueous Zn-ion batteries (ZIBs) because of the low price and high security. However, the practical application of Mn 2 O 3 in ZIBs is still plagued by the low specific capacity and poor rate capability. Herein, highly crystalline Mn 2 O 3 materials with interconnected mesostructures and controllable pore sizes are obtained via a ligand-assisted self-assembly process and used as high-performance electrode materials for reversible aqueous ZIBs. The coordination degree between Mn 2+ and citric acid ligand plays a crucial role in the formation of the mesostructure, and the pore sizes can be easily tuned from 3.2 to 7.3 nm. Ascribed to the unique feature of nanoporous architectures, excellent zinc-storage performance can be achieved in ZIBs during charge/discharge processes. The Mn 2 O 3 electrode exhibits high reversible capacity (233 mAh g −1 at 0.3 A g −1 ), superior rate capability (162 mAh g −1 retains at 3.08 A g −1 ) and remarkable cycling durability over 3000 cycles at a high current rate of 3.08 A g −1 . Moreover, the corresponding electrode reaction mechanism is studied in depth according to a series of analytical methods. These results suggest that rational design of the nanoporous architecture for electrode materials can effectively improve the battery performance.
Optimized Electronic Modification of S-Doped CuO Induced by Oxidative Reconstruction for Coupling Glycerol Electrooxidation with Hydrogen Evolution
HighlightsS-doped CuO nanorod arrays (S-CuO/CF) constructed by sulfur leaching and oxidative remodeling strategy require only 1.23 and 1.33 V versus hydrogen evolution reaction (HER) to provide glycerol oxidation currents of 100 and 500 mA cm−2.S-CuO/CF shows satisfactory performance (at 100 mA cm−2, Vcell = 1.37 V) assembled as the anode in asymmetric coupled electrolytic cell of glycerol oxidation reaction and HER.The study identifies the key factors involved in the GOR reaction pathway, which include the C–C bond breaking and lattice oxygen deintercalation steps.Glycerol (electrochemical) oxidation reaction (GOR) producing organic small molecule acid and coupling with hydrogen evolution reaction is a critical aspect of ensuring balanced glycerol capacity and promoting hydrogen generation on a large scale. However, the development of highly efficient and selective non-noble metal-based GOR electrocatalysts is still a key problem. Here, an S-doped CuO nanorod array catalyst (S-CuO/CF) constructed by sulfur leaching and oxidative remodeling is used to drive GOR at low potentials: It requires potentials of only 1.23 and 1.33 V versus RHE to provide currents of 100 and 500 mA cm−2, respectively. Moreover, it shows satisfactory comprehensive performance (at 100 mA cm−2, Vcell = 1.37 V) when assembled as the anode in asymmetric coupled electrolytic cell. Furthermore, we propose a detailed cycle reaction pathway (in alkaline environment) of S-doped CuO surface promoting GOR to produce formic acid and glycolic acid. Among them, the C–C bond breaking and lattice oxygen deintercalation steps frequently involved in the reaction pathway are the key factors to determine the catalytic performance and product selectivity. This research provides valuable guidance for the development of transition metal-based electrocatalysts for GOR and valuable insights into the glycerol oxidation cycle reaction pathway.
Individualized discrimination of tumor recurrence from radiation necrosis in glioma patients using an integrated radiomics-based model
PurposeTo develop and validate an integrated model for discriminating tumor recurrence from radiation necrosis in glioma patients.MethodsData from 160 pathologically confirmed glioma patients were analyzed. The diagnostic model was developed in a primary cohort (n = 112). Textural features were extracted from postoperative 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET), 11C-methionine (11C-MET) PET, and magnetic resonance images. The least absolute shrinkage and selection operator regression model was used for feature selection and radiomics signature building. Multivariable logistic regression analysis was used to develop a model for predicting tumor recurrence. The radiomics signature, quantitative PET parameters, and clinical risk factors were incorporated in the model. The clinical value of the model was then assessed in an independent validation cohort using the remaining 48 glioma patients.ResultsThe integrated model consisting of 15 selected features was significantly associated with postoperative tumor recurrence (p < 0.001 for both primary and validation cohorts). Predictors contained in the individualized diagnosis model included the radiomics signature, the mean of tumor-background ratio (TBR) of 18F-FDG, maximum of TBR of 11C-MET PET, and patient age. The integrated model demonstrated good discrimination, with an area under the curve (AUC) of 0.988, with a 95% confidence interval (CI) of 0.975–1.000. Application in the validation cohort showed good differentiation (AUC of 0.914 and 95% CI of 0.881–0.945). Decision curve analysis showed that the integrated diagnosis model was clinically useful.ConclusionsOur developed model could be used to assist the postoperative individualized diagnosis of tumor recurrence in patients with gliomas.
A Polymer‐Assisted Spinodal Decomposition Strategy toward Interconnected Porous Sodium Super Ionic Conductor‐Structured Polyanion‐Type Materials and Their Application as a High‐Power Sodium‐Ion Battery Cathode
A general polymer‐assisted spinodal decomposition strategy is used to prepare hierarchically porous sodium super ionic conductor (NASICON)‐structured polyanion‐type materials (e.g., Na3V2(PO4)3, Li3V2(PO4)3, K3V2(PO4)3, Na4MnV(PO4)3, and Na2TiV(PO4)3) in a tetrahydrofuran/ethanol/H2O synthesis system. Depending on the boiling point of solvents, the selective evaporation of the solvents induces both macrophase separation via spinodal decomposition and mesophase separation via self‐assembly of inorganic precursors and amphiphilic block copolymers, leading to the formation of hierarchically porous structures. The resulting hierarchically porous Na3V2(PO4)3 possessing large specific surface area (≈77 m2 g−1) and pore volume (≈0.272 cm3 g−1) shows a high specific capacity of 117.6 mAh g−1 at 0.1 C achieving the theoretical value and a long cycling life with 77% capacity retention over 1000 cycles at 5 C. This method presented here can open a facile avenue to synthesize other hierarchically porous polyanion‐type materials. A general polymer‐assisted spinodal decomposition strategy allows the synthesis of hierarchically porous carbon‐coated sodium super ionic conductor (NASICON)‐structured materials based on multiscale phase separation in both the mesoscopic and macroscopic ranges. The hierarchically porous Na3V2(PO4)3 cathode exhibits an excellent activity for sodium‐ion batteries due to the combination of the advantages of the porous framework and inherent NASICON structure of NVP.