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- Lytic Polysaccharide Monooxygenases ScLPMO10B and ScLPMO10C Are Stable in Ionic Liquids As Determined by Molecular Simulations
- Lyα DOMINANCE OF THE CLASSICAL T TAURI FAR-ULTRAVIOLET RADIATION FIELD
- Lyα in the GJ 1132 System: Stellar Emission and Planetary Atmospheric Evolution
- LYα TRANSIT SPECTROSCOPY AND THE NEUTRAL HYDROGEN TAIL OF THE HOT NEPTUNE GJ 436b
- M DWARF FLARE CONTINUUM VARIATIONS ON ONE-SECOND TIMESCALES: CALIBRATING AND MODELING OF ULTRACAM FLARE COLOR INDICES
- M- AND E/F-SYMMETRY-RESOLVED CROSS-SECTIONS FOR CO(A(1)PI)-HE/AR COLLISION-INDUCED ENERGY-TRANSFER FROM J = 2 TO J = 1
- M-Shell and Local Time Variability of the Electron and Magnetic Environments at the Orbit of Callisto as Observed by the Juno and Galileo Missions
- M-theory moduli space and cosmology - art. no. 043507
- M13 Bacteriophage as Materials for Amplifi ed Surface Enhanced Raman Scattering Protein Sensing
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M
etric Displacement Dissonance and Romantic Longing in the German Lied - m5C methylated lncRncr3-MeCP2 interaction restricts miR124a-initiated neurogenesis
- MABEL photon-counting laser altimetry data in Alaska for ICESat-2 simulations and development
- Mach Reflection and Expansion of Two-Dimensional Dispersive Shock Waves
- Machado en su poema: ’a un olmo seco’
- Machinable ceramics containing rare-earth phosphates
- Machine Learned Empirical Numerical Integrator from Simulated Data
- Machine Learning Analysis Provides Insight into Mechanisms of Protein Particle Formation Inside Containers During Mechanical Agitation
- Machine learning and accelerated stress approaches to differentiate potential causes of aggregation in polyclonal antibody formulations during shipping
- MACHINE LEARNING AND LAW
- Machine learning and statistical analyses for extracting and characterizing "fingerprints" of antibody aggregation at container interfaces from flow microscopy images
- Machine learning approaches to retrieve pan-Arctic melt ponds from visible satellite imagery
- Machine learning approaches to root cause analysis, characterization, and monitoring of subvisible particles in monoclonal antibody formulations
- Machine Learning Aspects of the MyShake Global Smartphone Seismic Network
- Machine learning e o direito
- Machine learning for cultivar classification of apricots (Prunus armeniaca L.) based on shape features
- Machine Learning for Daily Forecasts of Arctic Sea Ice Motion: An Attribution Assessment of Model Predictive Skill
- Machine learning for detection of walnuts with shriveled kernels by fusing weight and image information
- Machine learning for faster and smarter fluorescence lifetime imaging microscopy
- Machine learning for modern power distribution systems: Progress and perspectives
- Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model