EARLY PEAK GROUND ACCELERATION PREDICTION FOR ON-SITE EARTHQUAKE EARLY WARNING USING LSTM NEURAL NETWORK

On-site earthquake early warning techniques, which issue alerts based on seismic waves measured at a single station, are promising, and have performed quite successfully during some damaging earthquakes.Conventionally, most existing techniques extract several P-wave features from the first few seconds of seismic waves after the trigger to predict t

The purpose of this study was to analyze attachment and empathy in university students.The methodology used was quantitative and three evaluation instruments, already checked in previous researches for the Portuguese population, were used, and a sociodemographic questionnaire was also administered.The sample consisted of 183 1st degree students, wh