The relationship between ship stability and sail area is firstly investigated based on the sail-assisted ship's stability in this paper. Then a height-adjustable sail structure is proposed that could be automatically...The relationship between ship stability and sail area is firstly investigated based on the sail-assisted ship's stability in this paper. Then a height-adjustable sail structure is proposed that could be automatically adjusted according to the wind conditions, ship loading and other requirements. The influences on the sail height in different ship load conditions, different wind apparent velocity and wind direction are analyzed of a sail-assisted bulk carrier. Finally a control procedure of sail height adjustment in real time is proposed according to the actual load conditions, wind conditions, ship velocity and other parameters to make the best use of wind energy, which is significant for the practical application of sail-assisting technology in the future.展开更多
Polycomblike2(PCL2) is a well-known component of polycomb repressive complex 2(PRC2) and plays important roles in H3 K27 methylation and homeotic gene silencing.However,the involvement of PCL2 in breast cancer develop...Polycomblike2(PCL2) is a well-known component of polycomb repressive complex 2(PRC2) and plays important roles in H3 K27 methylation and homeotic gene silencing.However,the involvement of PCL2 in breast cancer development remains unclear.Here,we established PCL2 as a tumor suppressor gene in breast cancer.Expression level of PCL2 was significantly downregulated in breast cancer tissue samples observed at different TNM stages.Ectopic expression of PCL2 could significantly inhibit cell proliferation and promoted apoptosis.PCL2 also remarkably elevated levels of p53 and its targets by increasing p53 stability.Mechanistically,PCL2 protected p53 proteins from MDM2-mediated ubiquitination and degradation by sequestering MDM2 into the nucleolus.Overexpression of PCL2 also suppressed migration and invasion by inhibiting epithelial-mesenchymal transition.PCL2 expression was correlated with Ecadherin expression and was inversely correlated with vimentin expression.Furthermore,PCL2 knockdown could attenuate anti-tumor effect of MLN4924.Taken together,our findings indicated that PCL2 played a tumor suppressor role in development and progression of breast cancer and may be a prognostic and predictive marker for breast cancer.展开更多
Sensitivity analysis(SA) has been widely used to screen out a small number of sensitive parameters for model outputs from all adjustable parameters in weather and climate models, helping to improve model predictions b...Sensitivity analysis(SA) has been widely used to screen out a small number of sensitive parameters for model outputs from all adjustable parameters in weather and climate models, helping to improve model predictions by tuning the parameters. However, most parametric SA studies have focused on a single SA method and a single model output evaluation function, which makes the screened sensitive parameters less comprehensive. In addition, qualitative SA methods are often used because simulations using complex weather and climate models are time-consuming. Unlike previous SA studies, this research has systematically evaluated the sensitivity of parameters that affect precipitation and temperature simulations in the Weather Research and Forecasting(WRF) model using both qualitative and quantitative global SA methods. In the SA studies, multiple model output evaluation functions were used to conduct various SA experiments for precipitation and temperature. The results showed that five parameters(P3, P5, P7, P10, and P16) had the greatest effect on precipitation simulation results and that two parameters(P7 and P10) had the greatest effect for temperature. Using quantitative SA, the two-way interactive effect between P7 and P10 was also found to be important, especially for precipitation. The microphysics scheme had more sensitive parameters for precipitation, and P10(the multiplier for saturated soil water content) was the most sensitive parameter for both precipitation and temperature. From the ensemble simulations, preliminary results indicated that the precipitation and temperature simulation accuracies could be improved by tuning the respective sensitive parameter values, especially for simulations of moderate and heavy rain.展开更多
文摘The relationship between ship stability and sail area is firstly investigated based on the sail-assisted ship's stability in this paper. Then a height-adjustable sail structure is proposed that could be automatically adjusted according to the wind conditions, ship loading and other requirements. The influences on the sail height in different ship load conditions, different wind apparent velocity and wind direction are analyzed of a sail-assisted bulk carrier. Finally a control procedure of sail height adjustment in real time is proposed according to the actual load conditions, wind conditions, ship velocity and other parameters to make the best use of wind energy, which is significant for the practical application of sail-assisting technology in the future.
基金supported by the National Key R&D Program of China(2016YFE0129200)the National Natural Science Foundation of China(31571321,31171428)the Institute of the Fundamental Research Funds of Shandong University(2015JC036)
文摘Polycomblike2(PCL2) is a well-known component of polycomb repressive complex 2(PRC2) and plays important roles in H3 K27 methylation and homeotic gene silencing.However,the involvement of PCL2 in breast cancer development remains unclear.Here,we established PCL2 as a tumor suppressor gene in breast cancer.Expression level of PCL2 was significantly downregulated in breast cancer tissue samples observed at different TNM stages.Ectopic expression of PCL2 could significantly inhibit cell proliferation and promoted apoptosis.PCL2 also remarkably elevated levels of p53 and its targets by increasing p53 stability.Mechanistically,PCL2 protected p53 proteins from MDM2-mediated ubiquitination and degradation by sequestering MDM2 into the nucleolus.Overexpression of PCL2 also suppressed migration and invasion by inhibiting epithelial-mesenchymal transition.PCL2 expression was correlated with Ecadherin expression and was inversely correlated with vimentin expression.Furthermore,PCL2 knockdown could attenuate anti-tumor effect of MLN4924.Taken together,our findings indicated that PCL2 played a tumor suppressor role in development and progression of breast cancer and may be a prognostic and predictive marker for breast cancer.
基金supported by the Special Fund for Meteorological Scientific Research in the Public Interest (Grant No. GYHY201506002, CRA40: 40-year CMA global atmospheric reanalysis)the National Basic Research Program of China (Grant No. 2015CB953703)+1 种基金the Intergovernmental Key International S & T Innovation Cooperation Program (Grant No. 2016YFE0102400)the National Natural Science Foundation of China (Grant Nos. 41305052 & 41375139)
文摘Sensitivity analysis(SA) has been widely used to screen out a small number of sensitive parameters for model outputs from all adjustable parameters in weather and climate models, helping to improve model predictions by tuning the parameters. However, most parametric SA studies have focused on a single SA method and a single model output evaluation function, which makes the screened sensitive parameters less comprehensive. In addition, qualitative SA methods are often used because simulations using complex weather and climate models are time-consuming. Unlike previous SA studies, this research has systematically evaluated the sensitivity of parameters that affect precipitation and temperature simulations in the Weather Research and Forecasting(WRF) model using both qualitative and quantitative global SA methods. In the SA studies, multiple model output evaluation functions were used to conduct various SA experiments for precipitation and temperature. The results showed that five parameters(P3, P5, P7, P10, and P16) had the greatest effect on precipitation simulation results and that two parameters(P7 and P10) had the greatest effect for temperature. Using quantitative SA, the two-way interactive effect between P7 and P10 was also found to be important, especially for precipitation. The microphysics scheme had more sensitive parameters for precipitation, and P10(the multiplier for saturated soil water content) was the most sensitive parameter for both precipitation and temperature. From the ensemble simulations, preliminary results indicated that the precipitation and temperature simulation accuracies could be improved by tuning the respective sensitive parameter values, especially for simulations of moderate and heavy rain.