Caribbean areas are particular volcanic territories in tropical environments. These juxtapose several landslide-prone with different predisposing factors (poorly consolidated materials, superimposition of healthy materials on highly weathered high heterogeneity thicknesses, etc.). In these environments, where rapid development slopes and land use changes noticeable, it is necessary to better ch...

The mitochondrial electron transport chain (ETC) enables many metabolic processes, but why its inhibition suppresses cell proliferation is unclear. It is also not well understood why pyruvate supplementation allows cells lacking ETC function to proliferate. We used a CRISPR-based genetic screen to identify genes whose loss sensitizes human cells to phenformin, a complex I inhibitor. The screen ...

The effects of memory constraints upon information acquisition and decision making were examined in two experiments using binary prediction tasks, where participants observe outcomes for two options before deciding which one to bet upon. Our studies extend previous investigations to the case where participants learn the structure of the task through observation, but where information acquisitio...

INTRODUCTION The origin of the humic acid fraction of soils is still unclear in spite of extensive investigations accomplished over the last years (ref. 1). Different origins have been proposed, based on the most recent theory or on the applica­ tion of the latest analytical method. Thus, it has been proposed that soil humic acids are derived from lignins, microbial activity and synthesis of me...

Abstract Structured light with customized topological patterns inspires diverse classical and quantum investigations underpinned by accurate detection techniques. However, the current schemes are limited to vortex beams a simple phase singularity. The precise recognition of general structured multiple singularities remains elusive. Here, we report deep learning (DL) framework that can unveil mu...

The NeuroPsychological Testing Ontology provides a set of classes for the representation and annotation of neuropsychological tests and the associated data. These classes are intended to enable the integra-­‐ tion of results from a variety of neuropsychological tests that as...

This paper overviews the microwave device modeling techniques based on machine learning. The proposed methods are divided into two categories, active and passive components modeling. These modeling techniques aim to characterize the microwave device efficiently and accurately. The active components consist of MESFET, HEMT, pHEMT, and so on. The passive devices include inductor, capacitor, Lange...