The past decade has seen an increasing number of applications of deep learning (DL) techniques to biomedical fields, especially in neuroimaging-based analysis.Such DL-based methods are generally data-intensive and require a large number of training instances, which might be infeasible to acquire from a single acquisition site, especially for data,

To mitigate the human impact on climate change, it is essential to determine the contribution of emissions to the concentration of trace gases.In particular, the source attribution of short-lived species such as OH and HO2 is important as they play a crucial role for atmospheric chemistry.This study presents an advanced version of a tagging method

The highly use of polyethylene plastics in Indonesia has negative impact toward freshwater aquaculture systems.Omnivorous fish is one of the freshwater biota that exposed by microplastics.This study aims to determine the effect of microplastics to water quality and the prevalence of microplastic exposure in tilapia.The experimental design is conduc

IntroductionAlfalfa (Medicago sativa) is a kind of high quality leguminous forage species, which was CUTICLE REMOVER widely cultivated in the world.Leaf senescence is an essential process in plant development and life cycle.Here, we reported the isolation and functional analysis of an alfalfa SENESCENCE-ASSOCIATED GENE113 (MsSAG113), which belongs

This essay considers the historical-geographical Black Belt, beginning as a rich, dark-soil, cotton-growing region of Alabama occupied by slaveholders in the 1820s and 30s, and becoming, over time, a more generalized Industrial designation for a region or place with a majority black population.By the CUTICLE REMOVER late twentieth century, the Alab