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China is the largest carbon emitter in the world. Understanding carbon emissions of China, especially at the provincial level, will help identify the critical factors behind carbon emissions and effectively implement carbon emission reduction measures. There are significant achievements in the study of carbon emissions of China’s provinces. However, there is a gap for improvement in the study from periods and groups’ perspectives using a decomposition-clustering method. This paper adopts the Logarithmic Mean Divisia Index (LMDI) to decompose each province’s carbon emissions, introduces the elbow and K-means methods to cluster provinces based on the driving factors of decomposition, and analyzes the driving factors of carbon emissions from the view of groups and periods. By analyzing the carbon emissions data of 28 provinces in China from 1998 to 2018, a breakthrough has been found that economic activities and energy intensity were the main driving factors of carbon emissions. Some possible countermeasures, such as optimizing the industrial structure and the energy structure, significantly increasing clean energy consumption, would receive effective carbon emission reduction feedback. The results provide better decision-making support for emission reduction policies in China and contribute to global climate change issues.This research aims to reveal the premature deaths caused by long-term exposure to PM2.5 in 2018 in Turkey utilizing the AirQ+ program developed by the World Health Organization. Calculation of yearly average PM2.5 concentration in provinces, acreage of provinces, and the mortality rate of the at-risk population was the data required for the operation of the AirQ+ program. With the help of the AirQ+ program, the results revealed that a total of 44,617 people (95% CI 29.882-57.709) died prematurely due to sustained exposure to PM2.5 in Turkey in 2018. The highest estimated mortality proportion attributable to PM2.5 pollution was in the provinces of Igdir and Kahramanmaras. The highest estimated number of mortality cases per 100,000 population attributable to PM2.5 pollution was in the provinces of Manisa and Afyonkarahisar. This research points out that reaching the PM2.5 limits specified by the WHO could have prevented 44,617 premature deaths in the year 2018 in Turkey.Herbicides reduce the unsafe effects of weeds, but they are likely to have negative impact on essential and secondary metabolism in crops. selleck compound However, the combined effect of different herbicides on chemical constituents of different varieties of wheat is still not fully obvious. The current investigation was carried out to determine the effects of three post-emergence herbicides (pinoxaden, tribenuron-methyl, and pyroxsulam) on total protein, lipid, and carbohydrate concentrations of three bread wheat cultivars (Misr 1, Giza 171, and Gemmiza 11). These herbicides were added individually and in combinations at recommended and/or half recommended doses. Our findings revealed that the individual application of herbicides decreased total protein and total lipid concentrations in fresh shoots of the three studied wheat cultivars, but increased total carbohydrate concentration. Combined addition of herbicides at recommended and half recommended doses generally decreased the concentrations of total proteins, total lipi carbohydrates. The highest reduction of nitrogen, phosphorus, and potassium concentrations compared to control was observed when tribenuron-methyl+pyroxsulam was applied at the half recommended dose under the three studied cultivars. However, the combined application of tribenuron-methyl+pyroxsulam at the half recommended dose caused the great depression in total proteins and total carbohydrates of wheat grains. Under the stress effect of herbicides, individual application of pinoxaden gave the best results for nitrogen and potassium content as well as total protein and total carbohydrate concentrations in the three studied wheat grain cultivars.Prefabrication is a promising method for minimizing construction waste since it is conducted in a controlled environment. This paper develops a simulation model for quantitatively evaluating the potential of prefabrication on construction waste reduction by considering interaction behaviors among factors influencing the application of prefabrication and construction waste reduction during the design stage. The theory of planned behavior is applied to determine the system boundary, and a system dynamic model is applied for establishing the simulation model. A case project in Anhui, China, is selected for demonstrating the established model. Results show that the (1) Application of prefabrication method contributes to construction waste reduction by reducing material wastes and reworking due to design changes. (2) Impacts of prefabrication method on concrete waste reduction is the most significant. (3) Increasing investment on designers’ professional training and strengthening policies is two efficient strategies to make full use of the potential of the prefabrication method on construction waste reduction during the design stage. The developed model can offer designers as well as policymakers with references for applying prefabrication method for construction waste reduction by comparing outcomes under various scenarios with different strategies and policies ahead of implementation.The residue derived from the alginate extraction from S. filipendula was applied for the biosorption of aluminum from aqueous medium. The adsorptive capacity of the residue (RES) was completely evaluated in batch mode. The effect of pH, contact time, initial concentration, and temperature was assessed through kinetic, equilibrium, and thermodynamic studies. The biosorbent was characterized prior and post-Al biosorption by N2 physisorption, Hg porosimetry, He pycnometry, and thermogravimetry analyses. Equilibrium was achieved in 60 min. Kinetics obeys pseudo-second-order model at aluminum higher concentrations. Isotherms followed Freundlich model at low temperature (293.15 K) and D-R or Langmuir model at higher temperatures (303 and 313 K). Data modeling indicated the occurrence of both chemical and physical interactions in the aluminum adsorption mechanism using RES. The maximum adsorption capacity obtained was 1.431 mmol/g at 293 K. The biosorption showed a spontaneous, favorable, and exotherm character. A simplified batch design was performed, indicating that the residue is a viable biosorbent, achieving high percentages of removal using low biomass dosage.