Treatment of 16e complex (p-cymene)Ru(S₂C₂B₁₀H₁₀) (1) with PhCH(OH)C≡CH in CH₂Cl₂ at room temperature leads to two novel complexes (p-cymene)Ru(S₂C₂B₁₀H₉)(PhCH=CCH₂OCH(Ph)C≡CH) (2) and (p-cymene)Ru(S₂C₂B₁₀H₉)(PhCH(OH)C=CH₂) (3). Both complexes have been characterized through elemental analysis, mass, IR and NMR spectroscopies. Notably, complex 2 has been studied by X-ray diffraction. It has been determined that complex 2 crystallizes in triclinic system, space group P\(\overline{1}\) with: a = 11.1020(10) Å, b = 11.8445(10) Å, c = 13.8071(12) Å, α = 78.3630(10)°, β = 75.7330(10)°, γ = 68.7580(10)°, C₃₀H₃₈B₁₀ORuS₂, M_r = 687.89, V = 1627.3(2) ų, ρ = 1.404 g/cm³, Z = 2, F(000) = 704, µ(MoK_α) = 0.636 mm^–1, R = 0.0388 and ωR = 0.1100 for 5658 observed reflections (I > 2σ(I)). The formation mechanisms for the title complexes have been studied.

Urban sustainability is the comprehensive manifestation of development structures and economic aggregates. The current sustainable evaluation of cities from a single aspect cannot comprehensively reflect urban sustainable development. Based on emergy, this study constructs an assessment method of urban sustainability from development structures and economic aggregates. Jiaxing is the case study explored as the sustainable development model of cities in the Yangtze River Delta (YRD) of China. High sustainability of economic aggregates is found in Jiaxing, which is driven by the growth of green GDP. However, the urban development of Jiaxing primarily depends on the input of ecosystem resources, which hinders the sustainability of development structures within Jiaxing. These findings indicate that economic aggregates drive the development of Jiaxing and that the development structures within Jiaxing are unsustainable, resulting from the low sustainability of the natural subsystem and the economic subsystem. As such, it is proposed that industrial structures, development models, and management policies be adopted within cities in the YRD of China in order to promote sustainable development of cities in the YRD of China. This study, therefore, seeks to provide methodological guidance for urban sustainable evaluation.

Ozone (O₃) and fine particulate matter (PM_2.5) are critical atmospheric pollutants whose complex chemical coupling presents significant challenges for multi-pollutant control strategies. This study investigated the spatiotemporal variations and driving mechanisms of O₃ and PM_2.5 in Jiaxing, China, during different COVID-19 lockdown periods from November 2019 to January 2024. Using high-resolution monitoring data, random forest modeling, and HYSPLIT backward trajectory analysis, we quantified the relative contributions of anthropogenic emissions, meteorological conditions, and regional transport to the formation and variation of O₃ and PM_2.5 concentrations. The results revealed a distinct inverse relationship between O₃ and PM_2.5, with meteorologically normalized PM_2.5 decreasing significantly (−5.0 μg/m³ compared to the pre-lockdown baseline of 0.6 μg/m³), while O₃ increased substantially (15.2 μg/m³ compared to the baseline of 5.3 μg/m³). Partial dependency analysis revealed that PM_2.5-O₃ relationships evolved from linear to non-linear patterns across lockdown periods, while NO₂-O₃ interactions indicated shifts from VOC-limited to NO_x-limited regimes. Regional transport patterns exhibited significant temporal variations, with source regions shifting from predominantly northern areas pre-lockdown to more diverse directional contributions afterward. Notably, the partial lockdown period demonstrated the most balanced pollution control outcomes, maintaining reduced PM_2.5 levels while avoiding O₃ increases. These findings provide critical insights for developing targeted multi-pollutant control strategies in the Yangtze River Delta region and similar urban environments.