Aging leads to changes in motor-cognitive performance.Despite the importance of physical activity for healthy aging and the need for health promotion interventions in individuals with intellectual disability (ID), there is a lack of vegetable glycerin for sale empirically strategies for promoting health in adults with ID.Therefore, we are conductin
Inference by exclusion, the ability to base choices on the systematic exclusion of alternatives, has been studied in many nonhuman species over the past decade.However, the majority of methodologies employed so far are hard to integrate into a comparative framework as here they rarely use controls for the effect of neophilia.Here, we present an imp
Cytokines and chemokines are secreted proteins that regulate various biological processes, such as inflammation, immune response, and cell differentiation.Therefore, disruption of signaling pathways involving these proteins has been linked to a range of diseases, including cancer.However, targeting individual cytokines, chemokines, or their recepto
With the growing availability and complexity of time-series sequences, scalable and robust machine learning approaches are required that overcome the sampling challenge of quantitatively sufficient training data.Following the research trend towards the deep learning-based analysis of time-series encoded as images, this study proposes a time-series
Abstract Background Spinal muscular atrophy (SMA) is a genetic neuromuscular disease caused by mutations of the SMN1 gene.Deficient SMN protein causes irreversible degeneration of alpha motor neurons characterized by progressive muscle weakness and atrophy.Considering that SMA is a multi-systemic disorder and SMN protein was found to be expressed i