The methodology carried out in this work is based on non-parametric inference.The problem is framed as a regression analysis, and the solution is derived using the permutation approach.The proposed test does not rely on the assumption that the distribution of the response follows a specific family of probability laws, unlike other parametric approa
EXPLORING THE CAREER DEVELOPMENT PROCESS IN THE CASE OF ROMA STUDENTS IN ROMANIA
This study used semi-structured interviews to explore the career development process and influencing factors among eight Roma students.Following the analysis, eight areas emerged: 1) criteria for choosing a career option, 2) role models, 3) proactive personality, 4) support, 5) barriers, 6) work values, 7) critical consciousness, and 8) relevance o
Local Reinforcement in Notched Fiber Metal Laminates by Bonding Titanium Patch
In order to reduce the stress concentration in notched fiber metal laminate (FML) and improve its damage tolerance, the local reinforcement concept was employed in d2 fleshripper present paper.Two different reinforced structures were proposed by bonding titanium patch on single side or double sides of the standard glass fiber reinforced aluminum la
Giant subdural empyema in adult
Subdural empyema (SDE) is a fairly uncommon diagnosis, accounting for only 20% of intracranial infections, the usual source for SDE is direct extension from a contiguous source, such as acute sinusitis or otitis media, although in one-fourth of cases no source of infection is found.An 18-year-old man was admitted to our Institution because of dysar
WaSP-ECG: A Wave Segmentation Pretraining Toolkit for Electrocardiogram Analysis
IntroductionRepresentation learning allows artificial intelligence (AI) models to learn useful features from large, unlabelled datasets.This can reduce the need for labelled data across a range of downstream tasks.It was hypothesised that wave segmentation would be a useful form of electrocardiogram (ECG) representation learning.In addition to redu