Search

The concept of urban resilience focuses on understanding the process and mechanisms of disaster occurrence, providing innovative approaches to address stormwater flooding. However, existing studies primarily concentrate on enhancing overall system resilience, with limited research examining the temporal progression from stormwater disturbance to flood generation. To fill this gap, this study categorizes the development process of stormwater flooding into three periods: disturbance resistance (DR), adjustment and adaptation (AA), and rapid recovery (RR). Using the SWMM (Storm Water Management Model) software, 27 representative parcels in the Beijing-Tianjin-Hebei region of China were simulated. By sequentially considering single-indicator control variables, resilience indicators that significantly impact the three periods were identified through the construction of a stormwater flooding resilience indicator library. Subsequently, resilience models for each disaster phase were constructed using the BP (Back Propagation) neural network, and genetic algorithms were employed to optimize the models and determine the optimal values of resilience indicators for each period. Finally, the research findings were summarized into a resilience design method for the built environment to address stormwater flooding, accompanied by a guide for improving stormwater flooding resilience.The study reveals the following key findings: (1) the influence of physical and spatial elements in the built environment on stormwater flooding formation varies across different stages of the disaster process; (2) distinct resilience indicators operate at different times and in different ways throughout the entire stormwater flooding resilience process; (3) enhancing stormwater flooding resilience in the built environment does not necessarily require setting specific threshold values for each influencing indicator; instead, an optimal single value emerges when multiple indicators interact. Moreover, when multiple indicators interact, an optimal combination module with the best value for a single indicator exists. This study investigates the complete cycle from storm disturbance to flood disaster formation, offering both solutions for cities to mitigate storm flood disasters and advancing theoretical research on urban storm flood resilience while fostering interdisciplinary integration.

β-Ga2O3 is a promising material for the development of next-generation power electronic and optoelectronic devices due to its exceptional properties, including ultrawide bandgap and thermodynamic stability. Strain engineering has emerged as a powerful method to modulate the physical properties of materials and has been widely employed in semiconductor devices to enhance their performance and functionality. Our study focuses on the effects of strain engineering on the electronic properties of β-Ga2O3. Using density functional theory, we calculated the band structures and electron effective masses of β-Ga2O3 under different strain states. Our investigation revealed that strain manipulation can induce an indirect-direct bandgap transition. Strain can also lead to changes in effective masses and anisotropy of electron mobility. Our calculations provide important insights into the potential of strain engineering as a powerful tool for modulating the electronic properties of β-Ga2O3, with important implications for practical device applications.

In this study, octadecylamine/graphite foam composite phase change materials (ODA/GF CPCMs) were prepared by vacuum impregnation; octadecylamine (ODA) was used as the phase change materials (PCMs), and graphite foam (GF) was used as the support material. Polyurethane (PU) foam obtained after hydrolysis in 40 wt% NaOH solution at 80 °C for 30 min was the template for the GF; therefore, the prepared GF has many interpenetrating pore structures, providing many adsorption sites for PCMs. For the ODA/GF-3 CPCMs with 15 wt% graphite addition, the loading of ODA is as high as 92.3%, the thermal stability is excellent, the melting temperature is 52.1 °C, and the latent heat of fusion is 218. 1 J/g, which is 1.1 times that of pure ODA. The thermal conductivity of ODA/GF-3 CPCMs is 0.725 W/m•K, which is 2.2 times that of pure ODA. These results indicate that ODA/GF CPCMs have good thermal properties, and their competitiveness in the field of energy storage is greatly improved due to their excellent performance.

Summary: Flexible perovskite solar cells (PSCs) are highly promising photovoltaic technologies due to the prospect of integration with wearable devices. However, conventional encapsulation strategies for flexible devices often cause secondary damage to the perovskite crystals, which affects device performance. Here, we present self-encapsulated flexible PSCs realized by lamination technology. The conversion of perovskite crystals is achieved by the diffusion of lead iodide and ammonium halide under the effect of temperature and pressure. In addition, the hydrogen bonding of the introduced polyacrylamide enhances the connections of the integral device while improving the crystal quality. The self-encapsulated flexible PSCs achieve an outstanding photovoltaic conversion efficiency of 22.33%, and comprehensive stability tests are conducted based on wearable device application scenarios to verify the feasibility. Finally, 25 cm2 wearable perovskite modules are successfully applied into the neuro-assisted wearable devices.

Tumor cell migration induced by arsenite (iAsIII) is closely associated with cancer progression. However, transcriptomic and metabolic traits of migrative human cells exposed to iAsIII remain to be well characterized. Here, the combination of transcriptomics and metabolomics approaches were employed to construct interactive networks of functional genes and metabolites in human colorectal cancer (DLD-1) cells exposed to iAsIII. The number of DLD-1 cells passing through the Transwell membrane was at least 6 times greater in the iAsIII-treated groups than in controls. Following iAsIII treatment, the expression of ZEB1 and SLUG protein was significantly upregulated while the expression of CRB2 was downregulated (p

In this work, oil-in-water emulsions stabilised by milk protein concentrate (MPC70) were investigated. The MPC70 concentration was kept constant at 5% (close to the protein content found in skim milk) and the oil volume fraction was varied from 20 to 65%. Sonication was performed at 20 kHz and at a constant power of 14.4 W for a total emulsion volume of 10 mL. Under certain oil concentration (≥35%) and sonication times (≥3s) the emulsion aggregated and formed high-viscosity pseudo plastic materials. However, the viscosity behaviour of the emulsion made with 35% oil reverted to that of a liquid if sonicated for longer times (≥15 s). Confocal laser scanning microscopy showed clearly that the oil droplets are aggregated under the sonication conditions and oil concentrations indicated above. An attempt to explain this behaviour through a simple model based on the bridging of oil droplets by the MPC70 particles and, taking into account the oil droplet and MPC70 particle sizes as well as the oil volume fraction, was made. The model fails to describe in details the aggregation behaviour of these emulsions, likely due to the inhomogeneous protein layer, where both free caseins and casein micelles are adsorbed, and to the packing of the oil droplets at concentrations ≤55%. Nonetheless, this work demonstrates the potential of ultrasound processing for the formation of dairy emulsions with tailored textures.