In Taiwan, in corresponding to the policy of reducing CO2 emission, reforming current energy structure, and saving energy, the National Energy Program (NEP)-Smart Grid General Project Phase 1 was implemented. The obje...In Taiwan, in corresponding to the policy of reducing CO2 emission, reforming current energy structure, and saving energy, the National Energy Program (NEP)-Smart Grid General Project Phase 1 was implemented. The objectives of this project are meant to enhance the robustness of the power grid, reduce greenhouse gas emission, increase the penetration rate of renewable energy and develop smart grid industry in Taiwan. This study will introduce the positioning of the Smart Grid General Project among overall smart grid development, the results of Phase 1, the smart grid technology commercialization process of Phase 2, and the promotion model with collaboration between industry, universities and research units.展开更多
Phosphorylation of protein is an important post-translational modification that enables activation of various enzymes and receptors included in signaling pathways. To reduce the cost of identifying phosphorylation sit...Phosphorylation of protein is an important post-translational modification that enables activation of various enzymes and receptors included in signaling pathways. To reduce the cost of identifying phosphorylation site by laborious experiments, computational prediction of it has been actively studied. In this study, by adopting a new set of features and applying feature selection by Random Forest with grid search before training by Support Vector Machine, our method achieved better or comparable performance of phosphorylation site prediction for two different data sets.展开更多
为更好地理解格点融合实况数据与观测数据的差异和代表性,利用甘肃兰州和武威两地站点的观测数据对中国气象局陆面数据同化系统(CMA Land Data Assimilation System,CLDAS)地面2 m气温融合产品进行检验评估及偏差订正。结果表明:(1)逐...为更好地理解格点融合实况数据与观测数据的差异和代表性,利用甘肃兰州和武威两地站点的观测数据对中国气象局陆面数据同化系统(CMA Land Data Assimilation System,CLDAS)地面2 m气温融合产品进行检验评估及偏差订正。结果表明:(1)逐小时气温和日最低气温融合产品的平均误差总体为负值,较实际气温偏低,且在2500 m以下误差随海拔上升而减小;日最高气温融合产品平均误差在海拔1500 m附近为负值,1500 m以上误差变为正值且随海拔升高而增大;日最高和最低气温误差较逐小时气温误差偏大,但平均误差均在2℃以内。(2)通过近网格点检验,发现逐小时CLDAS气温产品白天与实况相近,夜间较实况偏低0.2℃;日平均气温CLDAS融合产品总体较实况偏低1℃,兰州城区产品偏差相对较小;30℃以上高温天数融合产品与实况分布基本一致,但在兰州城区,CLDAS融合产品的高温天数较观测天数偏少。(3)线性回归法和递减平均法对CLDAS气温融合产品都有一定的订正效果,递减平均法订正效果更优且在高海拔地区订正效果更明显。CLDAS气温实况融合产品在兰州和武威两地能较好地反映气温变化特征,但日最高、最低气温误差较逐小时气温大,且在复杂地形下误差相对较大。展开更多
文摘In Taiwan, in corresponding to the policy of reducing CO2 emission, reforming current energy structure, and saving energy, the National Energy Program (NEP)-Smart Grid General Project Phase 1 was implemented. The objectives of this project are meant to enhance the robustness of the power grid, reduce greenhouse gas emission, increase the penetration rate of renewable energy and develop smart grid industry in Taiwan. This study will introduce the positioning of the Smart Grid General Project among overall smart grid development, the results of Phase 1, the smart grid technology commercialization process of Phase 2, and the promotion model with collaboration between industry, universities and research units.
文摘Phosphorylation of protein is an important post-translational modification that enables activation of various enzymes and receptors included in signaling pathways. To reduce the cost of identifying phosphorylation site by laborious experiments, computational prediction of it has been actively studied. In this study, by adopting a new set of features and applying feature selection by Random Forest with grid search before training by Support Vector Machine, our method achieved better or comparable performance of phosphorylation site prediction for two different data sets.
文摘为更好地理解格点融合实况数据与观测数据的差异和代表性,利用甘肃兰州和武威两地站点的观测数据对中国气象局陆面数据同化系统(CMA Land Data Assimilation System,CLDAS)地面2 m气温融合产品进行检验评估及偏差订正。结果表明:(1)逐小时气温和日最低气温融合产品的平均误差总体为负值,较实际气温偏低,且在2500 m以下误差随海拔上升而减小;日最高气温融合产品平均误差在海拔1500 m附近为负值,1500 m以上误差变为正值且随海拔升高而增大;日最高和最低气温误差较逐小时气温误差偏大,但平均误差均在2℃以内。(2)通过近网格点检验,发现逐小时CLDAS气温产品白天与实况相近,夜间较实况偏低0.2℃;日平均气温CLDAS融合产品总体较实况偏低1℃,兰州城区产品偏差相对较小;30℃以上高温天数融合产品与实况分布基本一致,但在兰州城区,CLDAS融合产品的高温天数较观测天数偏少。(3)线性回归法和递减平均法对CLDAS气温融合产品都有一定的订正效果,递减平均法订正效果更优且在高海拔地区订正效果更明显。CLDAS气温实况融合产品在兰州和武威两地能较好地反映气温变化特征,但日最高、最低气温误差较逐小时气温大,且在复杂地形下误差相对较大。
