Simulation and forecast of the red tide's time series characteristics in China seas

Analyzing time series characteristics of red tide is the basis of disaster prevention and mitigation,which is very important to red tide prediction.There are trend comp onents and periodic components in annual time series of occurrence freque ncy and area of red tides,so Gray-Periodic Extensional Combinatorial Model(GPECM)is used to extract these components.The fitting degree of occurrence frequency and area can reach 95.20% and 95.24%,respectively.The performance of GPECM is better than Gray Model,Fourier Series Extension Model,and Holt-Winter Exponential Smoothing Model in model stability.Consequently,it is used to forecast the occurrence frequency and area in 2020 and 2021,and results show that the annual frequency of red tides in 2020 and 2021 can rise to 39 and 41,respectively,and that the annual occurrence area of red tides can rise to 3168 km^(2),which is about 59% more than last year.In 2021,it can fall to 1901 km^(2).

Zn^(2+) loading as a critical contributor to the circ_0008553-mediated oxidative stress and inflammation in response to PM_(2.5) exposures

Inflammation is a major adverse outcome induced by inhaled particulate matter with a diameter of≤2.5μm(PM_(2.5)),and a critical trigger ofmost PM_(2.5) exposure-associated diseases.However,the key molecular events regulating the PM_(2.5)-induced airway inflammation are yet to be elucidated.Considering the critical role of circular RNAs(circRNAs)in regulating inflammation,we predicted 11 circRNAs that may be involved in the PM_(2.5)-induced airway inflammation using three previously reportedmiRNAs through the starBasewebsite.A novel circRNA circ_0008553 was identified to be responsible for the PM_(2.5)-activated inflammatory response in human bronchial epithelial cells(16HBE)via inducing oxidative stress.Using a combinatorial model PM_(2.5) library,we found that the synergistic effect of the insoluble core and loaded Zn^(2+)ions at environmentally relevant concentrations was the major contributor to the upregulation of circ_0008553 and subsequent induction of oxidative stress and inflammation in response to PM2.5 exposures.Our findings provided new insight into the intervention of PM_(2.5)-induced adverse outcomes.