HOW SENSITIVE ARE CONVENTIONAL MEG FUNCTIONAL CONNECTIVITY METRICS WITH SLIDING WINDOWS TO DETECT GENUINE FLUCTUATIONS IN DYNAMIC FUNCTIONAL CONNECTIVITY?

Despite advances in the field of dynamic connectivity, fixed sliding window approaches for the detection of fluctuations in functional connectivity are still widely used.The use of conventional connectivity metrics in conjunction with a fixed sliding Compressor Motor Overload window comes with the arbitrariness of the chosen window lengths.In this

The Zn(II) and Mn(II) removal by an ion flotation process from model and real dilute aqueous solutions derived from waste batteries was studied in this work.The research aimed to determine optimal conditions for the removal of Zn(II) and Mn(II) from aqueous solutions after acidic leaching of Zn-C and Zn-Mn Packaging waste batteries.The ion flotatio

Neural networks are the cutting edge of artificial intelligence, demonstrated to reliably outperform other techniques in machine learning.Within the domain of neural networks, many different classes of architectures have been developed for various tasks in specific subfields, as well as a multitude of diversity in the way of activation functions, l

Objectives We aimed to investigate the role of rheumatoid arthritis (RA) with biologic or targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARD) exposure in COVID-19 outcomes.Methods Our study retrieved data from the US Collaborative Network in TriNetX between 1 January 2018 and 31 December 2022.We investigated b/tsDMARD use for RA: i

Drug distribution is considered one of the most serious crimes in general and the most Compressor Motor Overload serious drug offense in particular.Drug distribution may cover behavior of very different levels of seriousness, ranging from the social supply of small quantities of illicit drugs in friend circles to international drug trafficking orga