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As a treatment option for cancer, thermal ablation has satisfactory effects on many types of solid tumors (such as liver and renal cancers). However, its clinical applications for the treatment of thyroid nodules and metastatic cervical lymph nodes are still under debate both in China and abroad. In 2015, the "Zhejiang Expert consensus on thermal ablation for thyroid benign nodules, microcarcinoma, and metastatic cervical lymph nodes (2015 edition)," was released by the Thyroid Cancer Committee of Zhejiang Anti-Cancer Association, China. To further standardize the application of thermal ablation for thyroid tumors, the Thyroid Tumor Ablation Experts Group of Chinese Medical Doctor Association has organized many seminars and finally produced a consensus to formulate the "Expert consensus workshop report: Guidelines for thermal ablation of thyroid tumors (2019 edition)." [ABSTRACT FROM AUTHOR]

Abstract: In recent decades, Chinese agriculture has moved towards higher-energy and higher carbon-input systems to increase food production in the country's limited area of croplands. To investigate the environmental impacts of this trend, this study aimed to develop an “Integrated Life Cycle Assessment and Environmental Input–Output Model” (LCA–EIO Model). Using the tri-scope carbon footprint (CF) accounting method, the agricultural carbon footprint of Zhejiang Province, China was calculated for the years from 1997 to 2007, and the categories and structure of carbon emissions sources were analyzed, including patterns of change. In addition, the carbon intensity of crop farming in Zhejiang Province was examined. While an overall reduction in cropland areas has resulted in a substantial decline in direct greenhouse gas emissions from agricultural production, the proportion of carbon emissions caused by energy and chemical consumption has increased dramatically, and this consumption has become the primary source of carbon emissions. A decomposition analysis also identified the key driving forces of energy-related CF dynamics, such as the machinery–labor substitution effect. The results of the decomposition analysis can support decision makers in understanding and promoting low-carbon output agriculture. [Copyright &y& Elsevier]