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Soil salinity estimation based on machine learning using the GF-3 radar and Landsat-8 data in the Keriya Oasis, Southern **njiang, China
AimsSoil salinization has been an important environmental problem globally, particularly in oasis areas in arid zones. The advantages of using...
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Gait Asymmetry Evaluation Using FMCW Radar in Daily Life Environments
Gait analysis plays a crucial role in medical diagnostics due to its ability to determine and quantify the patient’s physical abilities and...
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Monitoring corn nitrogen nutrition index from optical and synthetic aperture radar satellite data and soil available nitrogen
Nitrogen (N) nutrition index (NNI) is a reliable indicator of plant N status for field crops, but its determination is both labor- and...
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Real-Time Contactless Breathing Monitoring System Using Radar with Web Server
As an innovative monitoring system, methods for non-contact human vital signs detection have been on the rise recently. Although different...
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TEC-miTarget: enhancing microRNA target prediction based on deep learning of ribonucleic acid sequences
BackgroundMicroRNAs play a critical role in regulating gene expression by binding to specific target sites within gene transcripts, making the...
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Prolonged coastal inundation detected with synthetic aperture radar significantly retarded functional recovery of mangroves after major hurricanes
ContextHurricanes are major threats to coastal mangrove ecosystems. Inundation has been implicitly reported to associate with mangrove damages and...
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Can ground-penetrating radar detect adjacent roots and rock fragments in forest soil?
AimGround-penetrating radar (GPR) has been used for estimating root biomass, estimating pull-out resistance force of roots, and reconstructing root...
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CAT-DTI: cross-attention and Transformer network with domain adaptation for drug-target interaction prediction
Accurate and efficient prediction of drug-target interaction (DTI) is critical to advance drug development and reduce the cost of drug discovery....
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Dual specificity and target gene selection by the MADS-domain protein FRUITFULL
How transcription factors attain their target gene specificity and how this specificity may be modulated, acquiring different regulatory functions...
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Synergistic Use of Radar and Optical Image Data for Improved Land Use and Land Cover Assessment: A Case Study in the North of Entre Rios Province (Argentina)
The synergistic use of optical and radar data is already a well-known alternative in the literature for land cover characterization. The objective of...
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RADAR: annotation and prioritization of variants in the post-transcriptional regulome of RNA-binding proteins
RNA-binding proteins (RBPs) play key roles in post-transcriptional regulation and disease. Their binding sites cover more of the genome than coding...
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Testing the efficacy of hyperspectral (AVIRIS-NG), multispectral (Sentinel-2) and radar (Sentinel-1) remote sensing images to detect native and invasive non-native trees
Invasive alien species threaten tropical grasslands and native biodiversity across the globe, including in the natural mosaic of native grasslands...
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Translational protein RpsE as an alternative target for novel nucleoside analogues to treat MDR Enterobacter cloacae ATCC 13047: network analysis and molecular dynamics study
The pathogenic Enterobacter cloacae subsp. cloacae str. ATCC 13047 has contemporarily emerged as a multi-drug resistant strain. To formulate an...
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Eliminating base-editor-induced genome-wide and transcriptome-wide off-target mutations
The fusion of CRISPR–Cas9 with cytidine deaminases leads to base editors (BEs) capable of programmable C-to-T editing, which has potential in...
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Drug target inference by mining transcriptional data using a novel graph convolutional network framework
A fundamental challenge that arises in biomedicine is the need to characterize compounds in a relevant cellular context in order to reveal potential...
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Modular, programmable RNA sensing using ADAR editing in living cells
With the increasing availability of single-cell transcriptomes, RNA signatures offer a promising basis for targeting living cells. Molecular RNA...
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CNV Radar: an improved method for somatic copy number alteration characterization in oncology
BackgroundCancer associated copy number variation (CNV) events provide important information for identifying patient subgroups and suggesting...
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Metabolic collateral lethal target identification reveals MTHFD2 paralogue dependency in ovarian cancer
Recurrent loss-of-function deletions cause frequent inactivation of tumour suppressor genes but often also involve the collateral deletion of...
