AIM: To evaluate the opinion of students about Tele-education in a post-graduate University Master in Interventional Radiology.METHODS: The core curriculum of the Master is divided Tape into 3 e-Learning modules and 2 e-Learning plus Hands-on Training modules.E-Learning is delivered through a webinar platform that allows to perform a synchronous tr
Studies regarding the use of a neuro-fuzzy mathematical model in order to determine the technological parameters of the polyethylene pipes butt welding process
The paper analyzes the possibility to use a neuro-fuzzy type mathematical model, with the final goal of establishing the welding parameters for new types and dimensions of pipes and fittings.Anticipating the developing dynamic of polyethylene-made elements, especially pipes and fittings, starting from the current situation when already a wide range
Breast cancer mortality in Saudi Arabia: Modelling observed and unobserved factors.
BACKGROUND:Breast cancer is one of the most dangerous and frequently occurring cancers among women, and it also affects men.We aimed to determine the prevalence and factors associated with mortality among patients with breast cancer in Saudi Arabia.METHOD:Data for this analysis of breast cancer mortality among Saudi Arabians were obtained from the
Efforts to Facilitate the Development of Adolescent Sexuality through Training for Counseling Teachers
Today, sex education for teenagers has become increasingly important.Adolescents experience a sexual crisis with various sexual problems they experience, such as pornography, pornoaction, masturbation, confusion of sexual orientation, free sex behavior, sexual violence, and sexual harassment.This phenomenon has CERAMIC CRIMPING IRON attracted the a
A traffic sign detection model based on coordinate attention - bidirectional feature pyramid network
In the field of autonomous driving, the correct detection of traffic signs can provide important information for environmental perception.To address the low recognition rate and misdetection and missed detection issues of various traffic signs, we propose a coordinate attention - bidirectional feature pyramid network (CA-BIFPN) traffic sign detecti