LARGE-SCALE INDICATIVE MAPPING OF SOIL RUNOFF

LARGE-SCALE INDICATIVE MAPPING OF SOIL RUNOFF

In our study we estimate relationships between quantitative parameters of relief, soil runoff regime, and spatial distribution of radioactive pollutants in the soil.The study is conducted on the test Setting Blocks arable area located in basin of the upper Oka River (Orel region, Russia).Previously we collected rich amount of soil samples, which ma

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A Novel Model Based on Spatio-Temporal Dilated ConvLSTM Networks for Indian Ocean Dipole Forecasting Using Multi-Source Global Sea Surface Temperature and Heat Content Data

The Indian Ocean Dipole (IOD) is a critical coupled ocean-atmosphere oscillation system associated with significant weather anomalies in the global climate, particularly in the Indian Ocean rim countries.The paper presents a novel deep learning (DL) model, which we call the “spatio-temporal dilated ConvLSTM (STDNet) model”, for foreca

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Advantage of using allele-specific copy numbers when testing for association in regions with common copy number variants.

Copy number variants (CNV) amino acids can be called from SNP-arrays; however, few studies have attempted to combine both CNV and SNP calls to test for association with complex diseases.Even when SNPs are located within CNVs, two separate association analyses are necessary, to compare the distribution of bi-allelic genotypes in cases and controls (

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