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2021

Factors enforcing the species boundary between the human pathogens Cryptococcus neoformans and Cryptococcus deneoformans

PLOS Genetics

S. J. Priest, M. A. Coelho, V. Mixão, S. Applen Clancey, Y. Xu, S. Sun, T. Gabaldón, and J. Heitman
Tropical Cyclone Integrated Kinetic Energy in an Ensemble of HighResMIP Simulations

Geophysical Research Letters

P. Kreussler, L‐P. Caron, S. Wild, S. Loosveldt Tomas, F. Chauvin, M‐P. Moine, M. J. Roberts, Y. Ruprich‐Robert, J. Seddon, S. Valcke, B. Vanniere, and P. Luigi Vidale
Comprehensive Insights into the Production of Long Chain Aliphatic Aldehydes Using a Copper-Radical Alcohol Oxidase as Biocatalys

ACS Sustainable Chemistry & Engineering

D. Ribeaucourt, B. Bissaro, V. Guallar, M. Yemloul, M. Haon, S. Grisel, V. Alphand, H. Brumer, F. Lambert, J-G. Berrin, and M. Lafond
Artificial Intelligence–Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development

Journal of Medical Internet Research

E. Santus, N. Marino, D. Cirillo, E. Chersoni, A. Montagud, A. Santuccion Chadha, A. Valencia, K. Hughes, and C. Lindvall
Computationally Driven Rational Design of Substrate Promiscuity on Serine Ester Hydrolases

ACS Catalysis

S. Roda, L. Fernandez-Lopez, R. Cañadas, G. Santiago, M. Ferrer, and V. Guallar
A simulation assessment of shockwave detection and damping algorithms based on magnetometers and probe vehicle data

Transportation Research Procedia

A. Garriga, MªP. Linares, and J. Casanovas
Implementation of a high-accuracy phase unwrapping algorithm using parallel-hybrid programming approach for displacement sensing using self-mixing interferometry

The Journal of Supercomputing

T. Hussain, S. Amin, U. Zabit, and E. Ayguadé
Assessment of a Shared-Taxi Routing Service for Disabled People: Barcelona Case Study

Transportation Research Procedia

G. Recio, MªP. Linares, V. Diví, and J. Casanovas
Artificial intelligence in cancer research: learning at different levels of data granularity

Molecular Oncology

D. Cirillo, I. Núñez-Carpintero, and A. Valencia
Machine Learning as a Seismic Prior Velocity Model Building Method for Full-Waveform Inversion: A Case Study from Colombia

Pure and Applied Geophysics

U. Iturrarán-Viveros, A. M. Muñoz-García, O. Castillo-Reyes, and K. Shukla

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