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Computer and information sciences

Grapevine virus T diversity as revealed by full-length genome sequences assembled from high-throughput sequence data

Shaheen Nourinejhad Zarghani, Jean Michel Hily, [ ... ], Thierry Candresse

Development of an electrohydraulic drive system for the vibrating conveyor belt of the peanut digger-inverter

Evaldo Ferezin, Rouverson Pereira da Silva, Adão Felipe dos Santos, Cristiano Zerbato

Device-measured physical activity data for classification of patients with ventricular arrhythmia events: A pilot investigation

Lucas Marzec, Sridharan Raghavan, [ ... ], Michael A. Rosenberg

Simplified procedure for efficient and unbiased population size estimation

Marcos Cruz, Javier González-Villa

MetaboClust: Using interactive time-series cluster analysis to relate metabolomic data with perturbed pathways

Martin J. Rusilowicz, Michael Dickinson, [ ... ], Julie Wilson

Global vs local modularity for network community detection

Shi Chen, Zhi-Zhong Wang, [ ... ], Yan Zhang

Comparison of gene co-networks analysis provide a systems view of rice (Oryza sativa L.) response to Tilletia horrida infection

Aijun Wang, Xinyue Shu, [ ... ], Aiping Zheng

Application of machine learning algorithms for multiparametric MRI-based evaluation of murine colitis

Stephan Ellmann, Victoria Langer, [ ... ], Tobias Bäuerle

Estimation of consumption potentiality using VIIRS night-time light data

Luyao Wang, Hong Fan, Yankun Wang

Self-report versus electronic medical record recorded healthcare utilisation in older community-dwelling adults: Comparison of two prospective cohort studies

Emma Wallace, Frank Moriarty, [ ... ], Tom Fahey

Taxonomic validation of five fish species of subfamily Barbinae from the Ganga river system of northern India using traditional and truss analyses

Deepmala Gupta, Arvind Kumar Dwivedi, Madhu Tripathi

ImproveAssembly - Tool for identifying new gene products and improving genome assembly

Adonney Allan de Oliveira Veras, Bruno Merlin, Pablo Henrique Caracciolo Gomes de Sá

Eye-tracking evidence shows that non-fit messaging impacts attention, attitudes and choice

Ilona Fridman, Peter A. Ubel, E. Tory Higgins

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