In order to effectively cultivate applied pharmaceutical talents,aiming at the current teaching situation of organic chemistry,the basic course of pharmaceutical specialty,including the problems of curriculum setting,...In order to effectively cultivate applied pharmaceutical talents,aiming at the current teaching situation of organic chemistry,the basic course of pharmaceutical specialty,including the problems of curriculum setting,experimental teaching,and the integration of classroom and professional knowledge,it is proposed to overcome the problem of curriculum setting by combining"online+offline"in teaching.It should overcome the problems in experimental teaching with the help of virtual simulation platform.By cultivating students organic chemistry thinking and paying attention to the integration of subject and professional knowledge,students recognition of organic chemistry course can be improved,and the quality of training can be improved.展开更多
Macroeconomic situation is the overall performance of a country’s and regional economic situation.At present,the vast majority of macroeconomic indicators are obtained through sampling surveys,step-by-step reporting,...Macroeconomic situation is the overall performance of a country’s and regional economic situation.At present,the vast majority of macroeconomic indicators are obtained through sampling surveys,step-by-step reporting,statistical calculations,and other processes,which are publicly released by the Statistical Bureau.There are some shortcomings,such as lag and non-authenticity.Timely forecasting and early warning of macroeconomic trends are the important needs of government affairs.However,the timeliness of data has a direct impact on government decision-making.In this paper,the high frequency and relatively accurate big data sources are adopted to construct a multivariate regression prediction model for traditional national economic accounting indicators(such as industrial value added above the scale of Hefei),which is different from the traditional time series prediction model such as ARIMA model.Based on the macroeconomic prediction model of time series big data,multi-latitude data sources,sequential update,verification set screening model and other strategies are used to provide more reliable,timely,and easy-to-understand forecasting values of national economic accounting indicators.At the same time,the potential influencing factors of macroeconomic indicators are excavated to provide data and theoretical basis for macroeconomic analysis and decision-making.展开更多
基金Supported by No.2022-79 Teaching Reform Project of Guangzhou Huashang College(HS2022ZLGC58)No.2022-79 Quality Engineering Project of Guangzhou Huashang College(HS2022ZLGC04).
文摘In order to effectively cultivate applied pharmaceutical talents,aiming at the current teaching situation of organic chemistry,the basic course of pharmaceutical specialty,including the problems of curriculum setting,experimental teaching,and the integration of classroom and professional knowledge,it is proposed to overcome the problem of curriculum setting by combining"online+offline"in teaching.It should overcome the problems in experimental teaching with the help of virtual simulation platform.By cultivating students organic chemistry thinking and paying attention to the integration of subject and professional knowledge,students recognition of organic chemistry course can be improved,and the quality of training can be improved.
基金The work is supported by the NSF of China(No.11871447)Anhui Initiative in Quantum Information Technologies(AHY150200).
文摘Macroeconomic situation is the overall performance of a country’s and regional economic situation.At present,the vast majority of macroeconomic indicators are obtained through sampling surveys,step-by-step reporting,statistical calculations,and other processes,which are publicly released by the Statistical Bureau.There are some shortcomings,such as lag and non-authenticity.Timely forecasting and early warning of macroeconomic trends are the important needs of government affairs.However,the timeliness of data has a direct impact on government decision-making.In this paper,the high frequency and relatively accurate big data sources are adopted to construct a multivariate regression prediction model for traditional national economic accounting indicators(such as industrial value added above the scale of Hefei),which is different from the traditional time series prediction model such as ARIMA model.Based on the macroeconomic prediction model of time series big data,multi-latitude data sources,sequential update,verification set screening model and other strategies are used to provide more reliable,timely,and easy-to-understand forecasting values of national economic accounting indicators.At the same time,the potential influencing factors of macroeconomic indicators are excavated to provide data and theoretical basis for macroeconomic analysis and decision-making.
