Abstract Graph neural networks (GNNs) have emerged as powerful tools to accurately predict materials and molecular properties in computational and automated discovery pipelines.In this article, we exploit the invertible nature of these neural networks to directly generate molecular structures with desired electronic properties.Starting from a rando
We have proposed an effective metasurface design to accomplish the cloaking of equilateral patch antennas and their array configuration.As such, we have exploited the concept of electromagnetic invisibility, employing the mantle cloaking technique with the intention to eliminate the destructive interference ensuing between two distinct triangular A
Conceptual short term memory (CSTM) is a theoretical construct that provides one answer to the question of how perceptual and conceptual processes are related.CSTM is a mental buffer and processor in which current perceptual stimuli and their associated concepts from long term memory (LTM) are represented briefly, allowing meaningful patterns or st
Aims Menopausal Atrial Fibrillation in Endurance Training Athletes: Scoping Review symptoms often go unrecognised in individuals with intellectual disability (ID).There is growing societal awareness of the impact of menopause on mental health, yet this has not been replicated in the ID population.In light of this, we wanted to establish the current
Abstract Background High-frequency trains of electrical stimulation applied over the lower limb muscles can generate forces higher than would be expected from a peripheral mechanism (i.e.by direct activation of motor axons).This phenomenon is presumably originated within the central nervous system by synaptic input from Ia afferents to motoneurons