The sudden outbreak and prolonged impact of the global novel coronavirus disease (COVID-19) epidemic has caused an increase in demand for medical products, such as masks and protective clothing, leading to an exponent...
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The sudden outbreak and prolonged impact of the global novel coronavirus disease (COVID-19) epidemic has caused an increase in demand for medical products, such as masks and protective clothing, leading to an exponential increase in the generation of medical waste. As medical waste under the epidemic is highly infectious, it poses a great danger to human health. Therefore, with the proliferation of medical waste, it has become crucial to construct a reverse logistics recycling network that can handle medical waste quickly and efficiently. In this study, we construct a multi-period medical waste emergency reverse logistics network siting model with the objectives of minimum cost, minimum safety risk, and minimum time for the safe and quick disposal of medical waste. The model considers disposal capacity bottlenecks of existing facilities. Based on an empirical analysis using the COVID-19 epidemic in New York City, USA, as a case study, we find that the use of a suitable number of synergistic facilities and the establishment of temporary medical waste disposal centers are viable options for handling the dramatic increase in medical waste during the peak of the COVID-19 epidemic.
The purpose of this work is to determine very precisely the relative detection efficiency curve for high purity germanium gamma-ray detector. We used the method that Hawari and Fleming reported in Nucl. Instrum. Metho...
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The purpose of this work is to determine very precisely the relative detection efficiency curve for high purity germanium gamma-ray detector. We used the method that Hawari and Fleming reported in Nucl. Instrum. Methods (A353, 106 (1994)). Measurement was carried out at a source-to-detector distance of 40 cm for Na-24, (SC)-S-46, (SC)-S-48, Co-60, Y-88, Nb-94 and Ag-108 sources. The relative detection efficiencies were fitted by a third-order polynomial function with the expected variance of about 0.2% from 430 to 2,750 keV.
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