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The 20th National Congress of the Communist Party of China proposed accelerating the promotion of Chinese-style modernization, placing higher requirements on regional economic development. In this context, interregional industrial convergence has become a new driving force for achieving high-quality economic development and regional industrial transformation and upgrading. Using the 2017 interregional input-output table provided by Carbon Emission Accounts and Datasets (CEADs), this study constructs a directed weighted network from both the supply side and the demand side, with "province-industry" as the node and the real flow between industries as the edge weight. Network analysis is used to investigate the overall status of industrial convergence in China, as well as differences according to industry and region. Finally, an exponential random graph model (ERGM) is used to examine the influencing factors and effects of network formation. The results show the following: (1) the industrial convergence relationship between regions in China is transitive and reciprocal, and the overall tendency of the network is one in which output capacity is greater than absorption capacity. (2) The marginal flow of manufacturing and services occupies an absolute advantage in China's industrial convergence network, in which mid-end manufacturing and producer services are the most prominent. (3) Industrial convergence between provinces has formed a hierarchical spatial layout of "output-conduction-absorption". In the absorption layer, the breadth and depth of Beijing's industrial integration are characterized by absorption-dominant development. In the output layer, Shanghai's capital-intensive industries have a strong external radiation capacity and generally show open-led development. (4) Interregional industrial convergence tends to occur in areas with similar economic levels and output value levels, showing a coordinated development trend of high-level output and low-level absorption, which is also affected by location proximity relationships, regional technology gaps, and employment population gaps. This research shows that China's inter-provincial industrial convergence network generally shows the characteristics of spatial hierarchy, significant industry differences and multi-factor drivers. [ABSTRACT FROM AUTHOR]

β-Diketones are one of the most widely used ligands for sensitizing the luminescence of lanthanide complexes due to their excellent sensitization abilities. However, the difficulties in introducing chiral groups to take part in the electronic transitions of conjugated systems limit their application in lanthanide circularly polarized luminescence (CPL) materials. In view of the inherent chirality of the helical structure, herein, a pair of homochiral quadruple-stranded helicates, Eu2L4, is assembled based on chiral bis-β-diketonate ligands, wherein the two point chirality centers in the spacer preorganize the helical conformation of the ligand (3S,4S)/(3R,4R)-3,4-bis(4,4′-bis(4,4,4-trifluoro-1,3-dioxobutyl)phenoxyl)-1-benzylpyrrolidine, LSS/LRR. X-ray crystallographic analyses reveal that the R,R configurations of the chiral carbons in the spacer induce the M helical sense of the ligand, while the S,S configurations induce the P helical sense. Through the comprehensive spectral characterization in combination with semiempirical geometry optimization using the Sparkle/RM1 model, it is confirmed that the preorganized ligands successfully control the homochirality of the helicates. Moreover, the mirror-image CD and CPL spectra and NMR measurements confirm the formation of enantiomeric pairs and their diastereopurities in solution. Detailed photophysical and chiroptical characterization studies reveal that the helicates not only exhibit intense circularly polarized luminescence (CPL) with ‖glum‖ values reaching 0.10, but also show a high luminescence quantum yield of 34%. This study effectively combines the helical chirality of the helicates with the excellent sensitization ability of the β-diketones, providing an effective strategy for the syntheses of chiral lanthanide CPL materials. [ABSTRACT FROM AUTHOR]

Designing composite catalysts that harness the strengths of individual components while mitigating their limitations is a fascinating yet challenging task in catalyst engineering. In this study, we aimed to enhance the catalytic performance by anchoring ZIF-67 nanoparticles of precise sizes onto lamella Si-MWW zeolite surfaces through a stepwise regrowth process. Co ions were initially grafted onto the zeolite surface using ultrasonication, followed by a seed-assisted secondary growth method. Si-MWW proved to be the ideal zeolite support due to its thin layered structure, large external surface area and substantial lateral dimensions. The abundant Si–OH groups on its surface played a crucial role in securely binding Co ions, limiting size growth and preventing undesirable ZIF-67 aggregation. The resulting ZIF-67/MWW composite with finely dispersed nano-scale ZIF-67 particles exhibited a remarkable catalytic performance and stability in the aldol condensation reactions involving acetone and various aldehydes. This approach holds promise for designing MOF/zeolite composite catalysts. [ABSTRACT FROM AUTHOR]

Carbon footprint (CF) and inequality reductions were two of the most important sustainable development goals. However, there was a lack of understanding of the latest equality of carbon footprint across regions. Based on the multi-regional input-output table and the China Family Panel Studies survey data of 17 provinces, this paper examined the evolution of carbon footprint and inequality in China. The results showed a stark disparity between regions and a declined inequality in the last few years. Specifically, the CF per capita in northern provinces (Liaoning, Shanxi, Heilongjiang, Shandong and Shaanxi) exceeded the average level in 2017. From 2015 to 2017, the carbon inequality showed a downward trend, with a national CF-Gini coefficient decrease from 0.31 to 0.28. Meanwhile, the gap between CF per capita in urban areas and rural areas was declining, with a growth rate at 18% and 32% from 2015 to 2017, respectively. In addition, CF per capita from various consumption categories indicated that household equipment and daily necessities, residential, transportation and communication were the three most important sources, with a downward trend from 2015 to 2017. This study would provide policymakers with deep insights into policies to achieve just transition. [ABSTRACT FROM AUTHOR]

[Display omitted] • Nearly 50% missing linker defects per cluster, introduced in Ti-MOFs by Ar plasma. • Defects are adjustable by varying plasma duration and intensity. • Catalytic performance directly correlates with the number of missing linkers. • Enhanced activity results from increased intrinsic activity, not just quantity of defects. Titanium-based metal–organic frameworks (Ti-MOFs) are known for their redox catalytic potential, inherently limited by coordination saturation. Defect engineering introduces the unsaturated metal sites, but introducing defects for improved performance is challenging due to titanium's hydrolysis tendency and the absence of stable Ti-clusters. This study employs an Ar plasma post-synthesis treatment, adjusting defect quantities by varying duration and intensity. The resulting plasma-induced defective MUV-10, with nearly 50 % missing linkers per cluster, displays heightened catalytic activity in oxidative desulfurization. This activity directly correlates with missing linker numbers, emphasizing the superior activity of defective open sites. Defect formation enhances intrinsic activity around unsaturated metal catalytic sites, rather than increasing active site density. This defect-generation method is adaptable to other Ti-MOFs and potentially to diverse MOFs. [ABSTRACT FROM AUTHOR]

Thermally conductive polymer-based composites are extensively used in many fields as thermal control materials. Their thermal conductivity can be effectively improved via the construction of a 3D thermal conduction network. However, multiple 3D networks have low density and lack elasticity and flexibility, leading to suboptimal thermal conductivity. In this study, a composite with high thermal conductivity is obtained by building a two-level adjustable boron nitride (BN) network with leaf venation structure in an epoxy resin matrix, and the density and orientation of the network are controlled by compression. The primary and secondary BN networks construct efficient phonon conduction channels. Moreover, the polydopamine interface between the thermally conductive network and substrate greatly reduces interfacial phonon scattering. The in-plane and cross-plane thermal conductivities of the composite at 35.9 wt% BN loading reach 10.20 and 4.95 W m−1K−1, respectively. And the composite has excellent electrical insulation, all making it promising for the thermal management of electronic equipment and thermal interface material in application prospects, such as the soft robotics, flexible smart devices, and aerospace. The composite was prepared by coating BNNSs on MS network to form a 3D MS@BNNSs network structure. And adding h BN@PDA in the EP matrix to achieve a two-level adjustable BN network with leaf venation structure to improve the κ of composite materials. The two-level adjustable network of BN facilitates the phonon conduction in the composite. [Display omitted] • The composite with high thermal conductivity is obtained. • The primary and secondary BN networks construct efficient phonon conduction channels. • The polydopamine interface greatly reduces interfacial phonon scattering. • The composite has excellent electrical insulation. [ABSTRACT FROM AUTHOR]