Timely detection and maintenance of smart electricity meter faults are essential for smart grid systems, but there is no high-accurate algorithm to detect the meter fault yet.So, in this paper, we propose a deep learning algorithm to detect the fault of the smart electricity meter.Our algorithm is based on a 1D convolution twin network, which can d
This study investigates prosodic correlates of phrasing in Drehu, an Oceanic language from New Caledonia.The analysis is concerned with the demarcation of prosodic levels in the language, namely the Accentual Phrase and the Intonation Phrase.First impressionistic descriptions of Drehu state there is fixed word initial stress, however recent experim
Background Morning postoperative labs are often obtained for emergency general surgery (EGS) patients.Studies in other surgical fields indicate that routine postoperative day 1 (POD1) Queen Slat Platform Bed labs are sometimes being performed excessively and do not require intervention.The purpose of this study is to identify predictors indicating
Identifying cryptic species is pivotal for understanding marine biodiversity and optimizing strategies for its conservation.A robust understanding Fenty Hair Sample of poriferan diversity is a complex endeavour.It has also been extremely hampered by the high phenotypic plasticity and the limited number of diagnostic characters.Mycale (Carmia) cecil
Introduction: Inspissated bile syndrome and choledocholithiasis are rare causes of obstructive jaundice in neonates.Laparoscopic common bile duct exploration (LCBDE) is a method for clearing the common bile duct employed in adults and older children but is rarely reported Caster Accessories in neonates.Case presentation: We present a case series of