Analysis and Forecast of Urban Economic Vitality in Northeast China

Taking into account the passage of time,the original economic vitality index will vary with changes in social development,we use the BP neural network nearly a decade as the original GDP data for the next 30 years the GDP forecast.BP neural network in 1985,proposed by Rumelhart,the algorithm solves the system of learning problems multilayer neural network connection weights hidden layer[1].It consists of an input layer,a hidden layer,and an output layer.The principle is to continuously adjust the network weights and thresholds by transmitting errors backward and then correcting the errors to achieve the desired input-output mapping.

Modified constitutive models for Inconel 718 considering current density and temperature in electrically assisted forming process

Electrically Assisted Forming(EAF)technology has obvious advantages in material forming.To develop an effective constitutive model considering electrical effects,room temperature and electrically assisted quasi-static uniaxial tensile tests were conducted using ultrathin nickelbased superalloy plates with a thickness of 0.25 mm.The research focused on the two most widely recognized effects:the Joule thermal and the electric athermal effects.The mechanism of current action can be divided into two scenarios:one considering the Joule thermal effect only,and the other considering both effects simultaneously.Two basic constitutive models,namely the Modified-Hollomon model and the Johnson-Cook(J-C)model,were selected to be optimized through the classification of two different situations,and four optimized constitutive models were proposed.It was found that the J-C model with simultaneous consideration of the Joule thermal effect and electric athermal effect had the best prediction effect by comparing the results of these four models.Finally,the accuracy of the optimization model was verified by finite element simulation of the electrically assisted stretching optimization model.The results show that the constitutive model can effectively predict the temperature effect caused by the Joule heat effect and the athermal effect of current on the material.

COR27 and COR28 encode nighttime repressors integrating Arabidopsis circadian clock and cold response

Summary It was noted that circadian components function in plant adaptation to diurnal temperature cycles and freezing tolerance. Our genome-wide transcriptome analysis revealed that evening-phased COR27 and COR28 mainly repress the transcription of clockassociated evening genes PRRS, ELF4 and cold-responsive genes. Chromatin immunoprecipitation indicated that CCAI is recruited to the site containing EE elements of COR27 and COR28 promoters in a temperaturedependent way. Further genetic analysis shows COR28 is essential for the circadian function of PRR9 and PRRT. Together, our results support a role of COR27 and COR28 as nighttime repressors integrating circadian clock and plant cold stress responses.