objective: the aim of this study was to investigate the effectiveness of neurofeedback therapy on event-related potential (epr) at both behavioral and physiological level in children (7-12 years) with attention deficit/hyperactivity disorder (adhd).  methods: the current study is a quasi-experimental project whit pre-test and post-test control group. in this study, the subjects (12 patients in ...

Pulsed electron-electron double resonance (PELDOR) is an electron paramagnetic resonance (EPR) spectroscopy technique for nanometer distance measurements between paramagnetic centers such as radicals. PELDOR has been recognized as a valuable tool to approach structural questions in biological systems. In this manuscript, we demonstrate the value of distance measurements for differentiating comp...

C-Phenyl N-tert-Butyl [15N]nitrone, Nitrone, Spin Trap, EPR Spin Trapping, Aminoxyl (Nitroxide) As compared to normal PBN, about fifty percent increase of electron paramagnetic reso­ nance (EPR) spin trapping sensitivity has been gained by using a new 100% 1:>N-enriched spin trap, C-phenyl /V-rm-butyl[15N]nitrone (PBN-15N). PBN-15N has been prepared by a convenient four-step route using ammoniu...

There is an opinion that the Bohm reformulation of the EPR paradox in terms of spin variables is equivalent to the original one. In this note we show that such an opinion is not justified. We apply to the original EPR problem the method which was used by Bell for the Bohm reformulation. He has shown that correlation function of two spins cannot be represented by classical correlation of separat...

Spin labels selectively attached to biomolecules allow high-accuracy nanoscale distance measurements using pulsed electron paramagnetic resonance (EPR), in many cases providing the only access to the structure of complex biosystems. Triarylmethyl (TAM) radicals have recently emerged as a new class of spin labels expanding the applicability of the method to physiological temperatures. Along with...

To date, the accurate prediction of tunnel boring machine (TBM) performance remains a considerable challenge owing to complex interactions between TBM and ground. Using evolutionary polynomial regression (EPR) random forest (RF), this study develops two novel models for performance. Both can predict penetration rate field index as outputs with four input parameters: uniaxial compressive strengt...