Abstract. With the gradual warming of global climate, frequent floods have caused huge losses to human life and property. Flood mapping by SAR image has been an important topic, it is increasingly use deep learning method extract flood information. In order achieve automatic extent extraction, this paper proposes attention mechanism-based water body extraction network with GF3 images, successfu...

Persistent organic pollutants in drinking water impose a substantial risk to the health of human beings, but the evidence for liver toxic effect and the underlying mechanism is scarce. This study aimed to examine the liver toxicity and elucidate the molecular mechanism of organic pollutants in drinking water in normal human liver cell line L02 cells and rats. The data showed that organic extrac...

We investigate the impact of the precision/recall trade-off of information extraction on the performance of an offline corpus-based question answering (QA) system. One of our findings is that, because of the robust final answer selection mechanism of the QA system, recall is more important. We show that the recall of the extraction component can be improved using syntactic parsing instead of mo...

Steered molecular dynamics (SMD) simulations were employed to investigate the extraction step of the lipid head group cleavage reaction by human synovial phospholipase A2 (PLA2) by pulling a lipid molecule from a monolayer of dilauroyl-phosphatidyl-ethanolamin lipids into the active site of PLA2 and into the aqueous phase. The results of the simulations were compared to draw inferences about th...

There is a great demand for developing efficient extraction methods in order to reduce extraction time and increase the yield and activity of functional antioxidants. The yields, activities, and extraction kinetics of antioxidants from the dry peel of pomegranate marc were studied using ultrasound-assisted extraction in continuous and pulsed modes and the results were compared with conventional...

Aspect-context sentiment classification aims to classify the sentiments about an aspect that corresponds its context. Typically, machine learning models considers and context separately. They do not execute in parallel. To model contexts aspects separately, most of methods with attention mechanisms typically employ Long Short Term Memory network approach. Attention mechanisms, on other hand, ta...

Remote sensing satellite images with a high spatial and temporal resolution play crucial role in Earth science applications. However, due to technology cost constraints, it is difficult for single achieve both resolution. The spatiotemporal fusion method cost-effective solution generating dense data In recent years, image based on deep learning has received wide attention. this article, multisc...