ABSTRACT: Physics-informed deep learning has drawn tremendous interest in recent years to solve computational physics PL ROSE@10 problems, whose basic concept is to embed physical laws to constrain/inform neural networks, with the need of less data for training a reliable model.This can be achieved by incorporating the residual of physics equations
Objectives The aim was to evaluate dentinal crack formation after root canal preparation with ProTaper Next system (PTN) with and without a glide path.Materials and Methods Forty-five mesial roots of mandibular first molars were selected.Fifteen teeth were left unprepared and served as controls.The experimental groups consist of mesiobuccal and mes
This paper presents a PL ROSE@10 new analysis method based on the finite integral technique (FIT) of practical three-dimensional leaky-wave antennas comprised of a finite number of patches arranged in arrays.Radiation patterns and scattering parameters are calculated and compared with corresponding measured results to demonstrate the adequacy and t
This study aims to develop a new concept of the iconic product advantage as a bridge to solve the research gap on the impact of product development capability on marketing performance.This new concept is studied through relevant theory and tested through empirical research.Data were collected empirically from the owner of Salted Egg (micro, small a