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Ferric chloride and nickel-manganese ferrite magnetic mesoporous biochars(designated as FBC and MBC, respectively) were synthesized by utilizing orange peels as the biomass feedstock and ferric chloride and nickel-manganese ferrite as magnetic media simultaneously. Subsequently, the characteristics of the FBC- and MBC-mediated coupling system with Diaphorobacter sp. DFA4 for the simultaneous removal of 2, 4-difluoroanine and Cu2+ in the aqueous phase were investigated. The results demonstrated that FBC and MBC at concentrations ranging from 0.5 g/L to 2.0 g/L significantly enhanced the ability of Diaphorobacter sp. DFA4 to remove 2, 4-DFA and Cu2+. In the presence of FBC and MBC, the degradation efficiency of 2, 4-DFA increased by 2.24-4.04 times or 1.96-4.71 times, respectively, compared to the pure Diaphoractor sp. DFA4 culture system, when the initial concentration of 2, 4-DFA was 100 mg/L to 900 mg/L. The removal efficiency of Cu2+ also increased from 59.70%-69.95% to 88.57%-93.20% and 82.12%-88.20%, respectively. Moreover, at pH levels ranging from 6.0 to 8.0, compared to the pure Diaphoractor sp. DFA4 culture system, the removal efficiency of 2, 4-DFA in the MBC- and FBC-mediated coupling systems increased by 15.35%-36.32% and 22.43%-37.42%, respectively. The removal rates of Cu2+ also increased by 37.63%-42.34% and 43.61%-47.83%, respectively. When the salinity increased from 0 to 4%, both coupling systems maintained removal rates of 2, 4-DFA above 85%, while the pure Diaphorobacter sp. DFA4 culture system exhibited a decrease from 77.98% to 55.19%. Mechanistic analysis revealed that the coupling systems induced the secretion of more humic acid, and under alkaline conditions, FBC was more conducive to promoting the secretion of humic acid from Diaphorobacter sp. DFA4.

Insufficient supporting policies jeopardize the role of carbon capture, utilization, and storage (CCUS) in climate action and energy transition. A few studies have addressed the policy challenges facing CCUS but left policy integration underappreciated. In this article, we analyze the preference for and integration between key elements of China's CCUS policy using policy integration theory and content analysis method that includes a novel three‐dimensional framework. Analysis of 63 CCUS policy documents indicates that China's CCUS policy is not sufficiently comprehensive in including policy implementers and goals, lacks consistency between policy instruments and goals, and is not yet a collaborative system. Finally, we present some implications for addressing the defects in integration of China's CCUS policy: (1) broader incorporation of citizens and non‐governmental organizations, (2) enhanced integration of enterprises, voluntary policy instruments, and economy goal, and (3) enhanced integration of government agencies, compulsory policy instruments, and safety goal. [ABSTRACT FROM AUTHOR]

This study explores artificial intelligence (AI) for shear wall layout design, aiming to overcome challenges in data feature sparsity and the complexity of drawing representations in existing AI‐based methods. We pioneer an innovative method leveraging the potential of diffusion models, establishing a suitable drawing representation, and examining the impact of various conditions. The proposed image‐prompt diffusion model incorporating a mask tensor featuring tailored training methods demonstrates superior feature extraction and design effectiveness. A comparative study reveals the advanced capabilities of the Struct‐Diffusion model in capturing engineering designs and optimizing performance metrics such as inter‐story drift ratio (in elastic analysis), offering significant improvements over previous methods and paving the way for future innovations in intelligent designs. [ABSTRACT FROM AUTHOR]

To address the issue of costly computational expenditure related to high‐fidelity numerical models, surrogate models have been widely used in various engineering tasks, including design optimization. Despite the successful application of the existing surrogate models, physics‐based models depend largely on simplifications and assumptions, which render parameter calibration challenging; whereas data‐driven models require substantial data to reach their full potential, with their performance often being constrained in tasks when obtaining massive data is difficult. In this study, a hybrid surrogate model is proposed combining physics‐based and data‐driven models to rapidly estimate building seismic responses. The application of this model is exemplified through effective estimation of inter‐story drift ratios (IDRs), being a critical factor in shear‐wall structure design. Initially, a data augmentation technique and a parametric modeling procedure are introduced to significantly enhance the dataset diversity. Subsequently, a task decomposition strategy is proposed to effectively integrate a data‐driven graph neural network (GNN) and a physics‐based flexural‐shear model. Additionally, the output layer and the loss function of the GNN are modified to enhance the estimation accuracy by eliminating fundamental errors. Results of numerical experiments indicate that the proposed hybrid model can complete IDR estimations in an average time of 0.56 s, with a mean absolute percentage error of 12.7%. This performance significantly surpasses that of existing purely data‐driven and physics‐based models. A case study shows that the efficiency of the proposed hybrid model is approximately 100 times greater than that of conventional finite element software. This enables an accurate assessment of the design compliance with code requirements. The results of this study can be applied to the design optimization of seismic‐resistant building structures. [ABSTRACT FROM AUTHOR]

Indoor thermal comfort is an important factor in ensuring travelers' well-being for hotels. This article explores its potential impact of thermal discomfort on hotel business travelers' wellness and work productivity. Employing a mixed-method approach, this study combines data from personal interviews and a follow-up scenario-based design survey to comprehensively examine the consequences of thermal discomfort. The timely understanding of how thermal discomfort may negatively influence business travelers' sense of wellness and productivity, and overall hotel satisfaction is crucial. This research offers valuable insights for hoteliers and policymakers in the pursuit of optimizing thermal environments within the hospitality and event sectors. [ABSTRACT FROM AUTHOR]

Accurate measurement of magnetostriction is the basis for calculating the vibration of silicon steel laminated core. In this paper, a laser magnetostriction measurement system (MST500) is used to study the magnetostriction characteristics of silicon steel under sinusoidal, third harmonic, and DC bias magnetization. The magnetostrictive butterfly curves, time domain waveforms, and spectrum diagrams of silicon steel sheets under different excitations are compared and analyzed. The effects of different operating conditions on the magnetostrictive properties of silicon steel sheets were studied and analyzed, mainly including amplitude and spectrum analysis. Finally, the magnetostrictive peak to peak curves under different operating conditions were extracted, providing a data basis for the core vibration of power equipment. [ABSTRACT FROM AUTHOR]