first post-PIPE year, while investors benefit due to the ability to dictate transaction terms. The results are economically … with those for the broad PIPE market in Lim et al. ( 54 ). The study also contributes to the PIPE literature by offering an … integrative view of competing theories of the cross-section of post-PIPE stock returns. We simultaneously test proxies for …

created a range of possibilities to apply machine learning. One particular case is the prediction of pipe failures based on … to train and validate their models. Originality/value: The use of machine learning systems to predict pipe failures in …

created a range of possibilities to apply machine learning. One particular case is the prediction of pipe failures based on … to train and validate their models. Originality/value: The use of machine learning systems to predict pipe failures in …

pipe tee against seismic loads from the correlation between the moment and the deformation angle. …