The aim of the present meta-analysis was to identify whether there was a relationship between mobile phone use and risk of brain tumor.A comprehensive search strategy was developed,and studies were eliminated in a ste...The aim of the present meta-analysis was to identify whether there was a relationship between mobile phone use and risk of brain tumor.A comprehensive search strategy was developed,and studies were eliminated in a stepwise manner,based on the inclusion criteria.The current meta-analysis collected data from the 24 eligible studies to investigate the relationship between mobile phone use and risk of brain tumor,while a detailed analysis of different classification was also conducted in order to identify the risk of mobile phone use.From the results,the relationship between cell phone use and brain tumor incidence had no significant difference between men and women.Cell phone use can increase the RF energy absorbed in the brain and apoptosis genes expression level,but glioma cell line cells were not significantly affected.Most calculations of laterality show a trend of increasing risk for time since first use,cumulative duration of subscriptions,cumulative duration of calls,and cumulative number of calls.In Asian people's,cell phone use and glioma had certain relations,while has verylittle relationship with meningioma incidence.This result seems to be no racial difference.In children and teenagers,cell phone use is associated with the incidence of brain tumors.We need longer time observation to supervise longer time (＞20 years) mobile phone use whether has severe effects on incidence of brain tumor.展开更多
Aiming at solving the problem that it is challenging to choose the appropriate price adjustment strategy according to the market fluctuations,an adaptive price adjustment method based on dual deep fuzzy networks(DDFN)...Aiming at solving the problem that it is challenging to choose the appropriate price adjustment strategy according to the market fluctuations,an adaptive price adjustment method based on dual deep fuzzy networks(DDFN)is designed.First,a price adjustment model based on DDFN is established.Through interactively learning the recycling market environment,the description of the mapping relationship between the market environment information and the price adjustment action is realized.Second,based on a greedy strategy to calculate the optimal price adjustment action,it is possible to make small adjustments based on the preliminary estimated value of the waste mobile phone,and complete the judgment of the mobile phone recycling price.Third,based on the market feedback,the gradient descent algorithm is used to update parameters of the model to improve the performance.The proposed adaptive price adjustment method based on DDFN is applied to the actual transaction process,and the results show that the proposed method can ensure the accuracy and reliability of the adjustment results of the mobile phone recycling price.展开更多
文摘The aim of the present meta-analysis was to identify whether there was a relationship between mobile phone use and risk of brain tumor.A comprehensive search strategy was developed,and studies were eliminated in a stepwise manner,based on the inclusion criteria.The current meta-analysis collected data from the 24 eligible studies to investigate the relationship between mobile phone use and risk of brain tumor,while a detailed analysis of different classification was also conducted in order to identify the risk of mobile phone use.From the results,the relationship between cell phone use and brain tumor incidence had no significant difference between men and women.Cell phone use can increase the RF energy absorbed in the brain and apoptosis genes expression level,but glioma cell line cells were not significantly affected.Most calculations of laterality show a trend of increasing risk for time since first use,cumulative duration of subscriptions,cumulative duration of calls,and cumulative number of calls.In Asian people's,cell phone use and glioma had certain relations,while has verylittle relationship with meningioma incidence.This result seems to be no racial difference.In children and teenagers,cell phone use is associated with the incidence of brain tumors.We need longer time observation to supervise longer time (＞20 years) mobile phone use whether has severe effects on incidence of brain tumor.
基金supported by the National Key Research and Development Project(Grant No.2018YFC1900800-5)the National Natural Science Foundation of China(Grant Nos.61890930-5,61903010,62021003 and62125301)+1 种基金Beijing Natural Science Foundation(Grant No.KZ202110005009)Beijing Outstanding Young Scientist Program(Grant No.BJJWZYJH 01201910005020)。
文摘Aiming at solving the problem that it is challenging to choose the appropriate price adjustment strategy according to the market fluctuations,an adaptive price adjustment method based on dual deep fuzzy networks(DDFN)is designed.First,a price adjustment model based on DDFN is established.Through interactively learning the recycling market environment,the description of the mapping relationship between the market environment information and the price adjustment action is realized.Second,based on a greedy strategy to calculate the optimal price adjustment action,it is possible to make small adjustments based on the preliminary estimated value of the waste mobile phone,and complete the judgment of the mobile phone recycling price.Third,based on the market feedback,the gradient descent algorithm is used to update parameters of the model to improve the performance.The proposed adaptive price adjustment method based on DDFN is applied to the actual transaction process,and the results show that the proposed method can ensure the accuracy and reliability of the adjustment results of the mobile phone recycling price.
