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Establishing a sustainable industrial structure system is imperative for transforming the society to high-quality development and achieve the ''carbon peak'' and ''carbon neutrality'' goals. In this study, we explored a low-carbon pathway of regional industrial structure optimization to achieve a balance among economic growth, social security, and environmental conservation. A multi-objective optimization model of industrial structure of economic-social-environmental system was constructed by minimizing carbon emissions and maximizing economic benefits and social employment. In this study, we explored the scientific allocation path for industrial structure and set various scenarios to meet the diverse preferences and development requirements of decision-makers. Southwest China was used as a practical case to validate the model's efficacy, offering a decision-making framework for the sustainable development of the regional economy. After optimization, carbon emissions reduced by 0.9 %∼3.2 %, economic benefits increased by 2.5 %∼4.8 %, and employment levels nearly doubled. The proportion of the transportation industry in southwest China decreased by 11.58 %. The raw coal was the energy source with the highest contribution to carbon emissions, 2494.2 × 108 kgCO2eq.

Abstract The disaster caused by landslide is huge. To prevent the spread of the disaster to the maximum extent, it is particularly important to carry out landslide disaster treatment work. The selection of landslide disaster treatment alternative is a large scale group decision-making (LSGDM) problem. Because of the wide application of social media, a large number of experts and the public can participate in decision-making process, which is conducive to improving the efficiency and correctness of decision-making. A IF-TW-LSGDM method based on three-way decision (TWD) and intuitionistic fuzzy set (IFS) is proposed and applied to the selection of landslide treatment alternatives. First of all, considering that experts and the public participate in the evaluation of LSGDM events, respectively, the method of obtaining and handling the public evaluation information is given, and the information fusion approach of the public and experts evaluation information is given. Second, evaluation values represented by fuzzy numbers are converted into intuitionistic fuzzy numbers (IFNs), and the intuitionistic fuzzy evaluation decision matrix described by IFNs is obtained. Then, a new LSGDM method of alternatives classification and ranking based on IFS and TWD is proposed, the calculation steps and algorithm description are given. In this process, we first cluster the experts, then consider the identification and management of non-cooperative behavior of expert groups. This work provides an effective method based on LSGDM for the selection of landslide treatment alternatives. Finally, the sensitivity of parameters is analyzed, and the feasibility and effectiveness of this method are compared and verified.

Summary: The 5′-deoxyadenosine deaminase (DADD), a member of the amidohydrolase family regulates biological purine metabolism. In this study, bioinformatic analysis, overexpression and knockdown of GhdadD gene were detected to identify its potential role in drought and salt stress tolerance. The results revealed that GhdadD was induced by ABA, Auxin, MBS and light responsive elements. In transgenic Arabidopsis, seed germination rate and root length were increased under drought or salt stress. GhdadD overexpressed seedlings resulted in higher plant height, less leaf damage and lower ion permeability. The expression of osmotic stress and ABA-responsive genes were up regulated. While in GhdadD-silenced cotton seedlings, CAT, SOD activity and soluble sugar content were reduced, MDA content was increased, and the stoma opening was depressed under drought or salt stress. Some osmics stress marker genes were also up regulated. These data indicating that GhdadD enhanced plant resistance to drought and salt stress through ABA pathways.