RNA interference (RNAi) holds considerable promise as a therapeutic approach to silence
disease-causing genes, particularly those that encode so-called ‘non-druggable’ targets that …

In the last few years, deep learning has led to very good performance on a variety of problems,
such as visual recognition, speech recognition and natural language processing. Among …

Classification is one of the most popular topics in hyperspectral remote sensing. In the last
two decades, a huge number of methods were proposed to deal with the hyperspectral data …

A two-dimensional honeycomb lattice harbours a pair of inequivalent valleys in the k-space
electronic structure, in the vicinities of the vertices of a hexagonal Brillouin zone, K ± . It is …

Although transformational leadership has been studied extensively, the magnitude of the
relationship between transformational leadership and follower performance across criterion …

This paper provides meta-analytic support for an integrated model specifying the antecedents
and consequences of psychological and team empowerment. Results indicate that …

Study of monogenic mitochondrial cardiomyopathies may yield insights into mitochondrial
roles in cardiac development and disease. Here, we combined patient-derived and …

In December 2019, a novel coronavirus was first reported in Wuhan, China. 1 It was named
by the World Health Organization as severe acute respiratory syndrome coronavirus 2 (SARS…

Recent approaches in depth-based human activity analysis achieved outstanding performance
and proved the effectiveness of 3D representation for classification of action classes. …

Background: The outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2) has posed great threat to human health. …