ABSTRACT
Depicting the temporal and spatial evolution pattern of global world cultural heritage systematically and finely is the basis of heritage recognition and protection. In this study, 869 world cultural heritage inscriptions (through 2019) were selected as the research objects, and the times and types of each World Heritage site were manually annotated from more than 5000 pieces of data. Through time series modelling, the advantages of and changes in heritage declarations in different regions and periods were analysed, and the impact of heritage strategy on the number of heritage sites included in each region was evaluated. The results showed that the implementation of heritage policy greatly impacted each region, especially on the number of heritage sites in Asia and the Pacific region. Using the heritage era to carry out modelling analysis, from the perspective of the integrity of historical heritage cultural types, it is considered that there may be cultural heritage sites in the Caribbean and Latin America that have not been given enough attention. The modelling analysis results of era attributes can support the fairness of heritage determination. By calculating the frequency and peak value of heritage sites at the national scale, the frequency and peak value of each country in the top 10 list are used to characterize the ability of national declarations of cultural heritage and reveal the differences in the ability of each member country to declare heritage sites and the heritage era. By calculating the distribution density of the heritage era, this study finds that the world's cultural heritage is not concentrated in the Middle Ages (600-1450) but the periods of Reformation and Exploration (1450-1700) and Progress and Empire (1850-1914). The above analysis shows that there are imbalances and strategic adjustment effects concerning regions, countries, eras and types in World Heritage list development. The composition types of heritage are complex, and the combination types have obvious changes in different periods. It is suggested that the strategy of world cultural heritage collection should be further optimized to fully guarantee the balance of regions, countries and types, and the heritage value should be fully considered in heritage protection with more diversity and complexity of types.
ABSTRACT
Objective:To investigate the effect of automated nested multiplex PCR system in the detection of children with severe community-acquired pneumonia(CAP), and identify the pathogenic infection of the children with severe CAP in Foshan.Methods:Children with severe CAP, who were admitted to the PICU at Foshan First People′s Hospital from January 2016 to December 2018, were enrolled in the analysis.Nasopharyngeal secretions were collected.And automated nested multiplex PCR was used to detect adenovirus, coronavirus (HKUl type, NL63 type, 229E type, 0C43 type), human metapneumovirus, influenza A virus (H1 subtype, H1-2009 subtype, H3 subtype), influenza B virus, parainfluenza virus (type 1, type 2, type 3, type 4), respiratory syncytial virus, Bacillus pertussis, Chlamydia pneumoniae and Mycoplasma pneumonia.Results:Among the 290 specimens detected by the automated nested multiplex PCR, 246(84.83%) were positive.There were 166 positive samples for a single pathogen, 60 positive samples for two pathogens, 17 positive samples for three pathogens, and three positive samples for four pathogens.Among the virus-positive cases, respiratory syncytial virus was the most common pathogen in children younger than 6 months(62.39%, 73/117). The most common pathogen was human rhinovirus/enterovirus(43.48%, 20/46) from seven months to one year old.Adenovirus(37.50%, 18/48) was the most common pathogen among children aged one to three years old.Rhinovirus/enterovirus(35.00%, 7/20) was the most common pathogen among children aged three to six years old.The most common pathogen in children over six years old was influenza virus(46.67%, 7/15). The adenovirus detection rate was highest in May, the syncytial virus detection rate was highest in August, and the influenza virus detection rate was highest in July.Mycoplasma pneumoniae and pertussis were distributed throughout the year.Conclusion:The automated nested multiplex PCR system can detect multiple pathogens efficiently, quickly and accurately; the common pathogens of severe CAP are diverse in different age groups; the epidemic season of common pathogens is unique in different regions due to different climates.
