The article introduces the main practices and achievements of the Environment and Plant Protection Institute of Chinese Academy of Tropical Agricultural Sciences in promoting the sharing of large-scale instruments and...The article introduces the main practices and achievements of the Environment and Plant Protection Institute of Chinese Academy of Tropical Agricultural Sciences in promoting the sharing of large-scale instruments and equipment in recent years,analyzes the existing problems in the management system,management team,assessment incentives and maintenance guarantee,and proposes improvement measures and suggestions from aspects of improving the sharing management system,strengthening management team building,strengthening sharing assessment and incentives,improving maintenance capabilities and expanding external publicity,to further improve the sharing management of large-scale instruments and equipment.展开更多
Lung cancer is the most common cause of cancer-related mortality worldwide.1 The current clinical staging systems cannot adequately predict the prognosis of patients with lung cancer,making it difficult to individuali...Lung cancer is the most common cause of cancer-related mortality worldwide.1 The current clinical staging systems cannot adequately predict the prognosis of patients with lung cancer,making it difficult to individualize the clinical treatment of the disease,resulting in poorer outcomes.展开更多
Coronal mass ejections(CMEs)are one of the major disturbance sources of space weather.Therefore,it is of great significance to determine whether CMEs will reach the earth.Utilizing the method of logistic regression,we...Coronal mass ejections(CMEs)are one of the major disturbance sources of space weather.Therefore,it is of great significance to determine whether CMEs will reach the earth.Utilizing the method of logistic regression,we first calculate and analyze the correlation coefficients of the characteristic parameters of CMEs.These parameters include central position angle,angular width,and linear velocity,which are derived from the Large Angle and Spectrometric Coronagraph(LASCO)images.We have developed a logistic regression model to predict whether a CME will reach the earth,and the model yields an F1 score of 30%and a recall of 53%.Besides,for each CME,we use the recommendation algorithm to single out the most similar historical event,which can be a reference to forecast CMEs geoeffectiveness forecasting and for comparative analysis.展开更多
文摘The article introduces the main practices and achievements of the Environment and Plant Protection Institute of Chinese Academy of Tropical Agricultural Sciences in promoting the sharing of large-scale instruments and equipment in recent years,analyzes the existing problems in the management system,management team,assessment incentives and maintenance guarantee,and proposes improvement measures and suggestions from aspects of improving the sharing management system,strengthening management team building,strengthening sharing assessment and incentives,improving maintenance capabilities and expanding external publicity,to further improve the sharing management of large-scale instruments and equipment.
基金supported in part by a research grant from the Shandong Natural Science Foundation(No.ZR2019MH065).
文摘Lung cancer is the most common cause of cancer-related mortality worldwide.1 The current clinical staging systems cannot adequately predict the prognosis of patients with lung cancer,making it difficult to individualize the clinical treatment of the disease,resulting in poorer outcomes.
基金supported by the National Natural Science Foundation of China(Grant Nos.42074224 and 12071166)the Key Research Program of the Chinese Academy of Science(Grant No.ZDRE-KT-2021-3)the Pandeng Program of National Space Science Center,Chinese Academy of Science.
文摘Coronal mass ejections(CMEs)are one of the major disturbance sources of space weather.Therefore,it is of great significance to determine whether CMEs will reach the earth.Utilizing the method of logistic regression,we first calculate and analyze the correlation coefficients of the characteristic parameters of CMEs.These parameters include central position angle,angular width,and linear velocity,which are derived from the Large Angle and Spectrometric Coronagraph(LASCO)images.We have developed a logistic regression model to predict whether a CME will reach the earth,and the model yields an F1 score of 30%and a recall of 53%.Besides,for each CME,we use the recommendation algorithm to single out the most similar historical event,which can be a reference to forecast CMEs geoeffectiveness forecasting and for comparative analysis.
