ABSTRACT Objective: to analyze the anxiety level of the mothers of newborns with congenital malformations who were diagnosed in prenatal and postnatal care.Methods: a cross-sectional study with 115 mothers of 117 newborns with congenital malformation admitted to three neonatal units.A questionnaire containing maternal and neonatal variables was use
The use of Deep Learning (DL) for Mouthpiece identifying false or misleading information, known as fake news, is a growing area of research.Deep learning, a form of machine learning that utilizes algorithms to learn from large data sets, has shown promise in detecting fake news.The spread of fake news can cause significant harm to society economica
【Abstract】Objective: To investigate the dynamic activity of NF-κB at the early stage of injury in multiple trauma patients and the protective effects of ulinastain.Methods: From January 2008 to May 2010, patients with multiple traumas admitted to our emergency department were enrolled in this study.Their age varied from 20-55 years.All enrolle
Reactive power management in microgrids with high penetration of distributed renewable energy sources (DRESs) is challenging.The intermittent generation of DRES makes the power management cumbersome.Generally, Flexible AC Transmission System (FACTS) devices such as Distribution Static Compensator (DSTATCOM) are employed for reactive power compensat
With the high-proportion accession of renewable energy and randomness of the load side in the new energy power system, unbalanced feeder power US License Plate Hat and heavy overload of the transformer caused by massive access of highly uncertain source loads become more and more serious.In order to solve the aforementioned problems, a honeycomb to