Based on the analysis of the 2544 alert cases from “Safety Gate” (the EU rapid alert system for dangerous non-food products) of toys exported to the EU market from China in the past five years (2017-2021), this study focuses on the chemical hazards as the key research object, investigates and identifies categories of toy products and related chemicals with high notification rate. The research results have shown that the most seriously and frequently alerted toy products due to chemical hazards from China exported to the EU are plastic dolls, slimes, rubber toy balloons, toy guns and squeezable toys, while the high failure rate of chemicals in sequence are phthalates, boron element, N-Nitrosamines and N-Nitrosatable substances, and bis(2-(dimethylamino)ethyl) ether. This study aims to improve the efficiency of inspection and test of export toys, and provide decision-making references for Chinese toy export enterprises to respond to EU technical trade measures.
Final energy consumption is the total energy consumed by end users. The data on energy consumption structure can be represented by the ratio of electricity consumption to final total energy consumption, and usually be used to forecast the PM2.5 concentrations or energy efficiency in one province. Traditional energy consumption structure indictor solving methods include coal-equivalent consumption and thermal-equivalent calculation methods. They cannot be used to find the impact factors on the provincial energy consumption structure since they lack of internal factors in connection with the economic. The energy consumption structure of one industry sector is usually different from that of another sector. The energy consumption structure of one sector is determined by the producing characteristic and equipment level in the industry. In this paper, provincial final energy consumption structure is detailed analyzed according to the energy consumption data of selected industry sectors. And the provincial energy consumption structure indicator would be explained by the industrial structure in the province and specific energy consumption characteristics in the selected industry sectors. The analyzed result can be used to study the energy policy about PM2.5 concentrations or energy efficiency in most provinces in China.
The trade situation about China’s export of toy products to the EU was introduced. The recall characteristics of China’s toy products by the EU “Safety Gate” in terms of recall frequency, notified countries, taken measures, and reasons for recall were analyzed in this paper, and the risk factors of human health of unqualified products in terms of chemical hazards were studied in this paper. It is found that phthalate, boron, plumbum and cadmium were the main factors. Assessment of risk for boron in toys was conducted. It is suggested to limit the boron element in Slime: the limit of migration of boron in Slime toys for 3- to 6-year-old children shall be less than 704 mg/kg, and the limitation of migration of boron in Slime toys for 7- to 12-year-old children shall be less than 1268 mg/kg.
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
In view of the problem that the decision-making system currently in use takes a long time to respond and causes energy waste due to its low data processing capacity, the state Grid mall heating technology application assistant decision-making system based on big data analysis was designed. The data acquisition and processing part of the original hardware is optimized, and the collected data is reduced and discretized in the software part of the system. Big data analysis technology is used to realize the function of assistant decision system after data analysis. The experimental results show that it is verified that the designed system has short decision response time, high efficiency and can effectively reduce energy waste.
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