Expression of interleukin-6 (IL-6), interleukin-21 (IL-21) and anti-müllerian hormone (AMH) in premature ovarian failure (POF) patients were observed to explore the correlation of each indicator and its significance in POF. One hundred and forty-two patients diagnosed with POF in Binzhou City Center Hospital from June 2014 to December 2015 were selected as the observation group. At the same time, another 140 healthy women were selected as the control group. The serum levels of IL-6, IL-2l, AMH, follicle stimulating hormone (FSH) and luteinizing hormone (LH), estradiol (E2), testosterone (T) and basal antral follicle count (AFC), and mean ovarian volume (MOV) were determined and compared; correlation analysis of IL-6, IL-2l and AMH with other indicators was performed. Compared to the control group, the serum levels of IL-6, IL-21, FSH and LH in the observation group were significantly higher (P<0.05), while E2, T, AMH levels in the serum, AFC and MOV were significantly lower (P<0.05). Spearman's correlation analysis showed that IL-6, IL-21 was positively correlated with FSH and LH (P<0.05), but negatively correlated with E2, T and MOV (P<0.05). AMH was negatively correlated with FSH and LH, but positively correlated with E2, T and MOV. Our results showed that the expression of IL-6, IL-21 and AMH were related to the occurrence and development of POF, IL-6, IL-21 and AMH can be used as the primary screening indexes for POF patients.

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The outbreak of COVID-19 makes people feel distant from each other, and masks have become one of the indispensable articles in people's daily life. At present, there are many brands of masks with various types and uneven quality. In order to understand the current market of masks and the sales of different brands, users can choose masks with perfect quality. This paper uses Python web crawler technology, based on the input of the word "mask", crawl JD website sales data, through data visualization technology drawing histogram, pie chart, the word cloud, etc., for goods compared with the relationship between price, average price of all brands, brands, average distribution of analysis and evaluation of user information, In this way, the sales situation, price distribution and quality evaluation of each store of the product can be visually displayed. At the same time, it also provides some reference for other users who need to buy the product.

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