• Learning by explaining to oneself and a peer enhances learners' theta and alpha oscillations while watching video lectures

• Learn to become a unique interrelated person: An alternative of social-emotional learning drawing on Confucianism and Daoism

• Learning defense transformations for counterattacking adversarial examples

• Leveraging Tumor Microenvironment Infiltration in Pancreatic Cancer to Identify Gene Signatures Related to Prognosis and Immunotherapy Response

• Lead-Free Halide Perovskite Materials and Optoelectronic Devices: Progress and Prospective

• Learning spectral-spatial representations from VHR images for fine-scale crop type mapping: A case study of rice-crayfish field extraction in South China

• Letter to the editor of radiotherapy and oncology regarding of the paper "Radiotherapy enhances uptake and efficacy of 90Y-cetuximab: A preclinical trial" by A Dietrich et al.

• Length Effects of Short Alkyl Side Chains on Phase-Separated Structure and Dynamics of Hydrophobic Association Hydrogels

• Leaky Gut Plays a Critical Role in the Pathophysiology of Autism in Mice by Activating the Lipopolysaccharide-Mediated Toll-Like Receptor 4-Myeloid Differentiation Factor 88-Nuclear Factor Kappa B Signaling Pathway

• Lean body mass but not body fat mass is related with leukocyte telomere length in children

• Leaders' responses to receipt of proactive helping: Integrating theories of approach-avoidance and challenge-hindrance

• Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network

• Learning and the capital age premium *

• Learning non-local perfusion textures for high-quality computed tomography perfusion imaging

• Leader-follower consensus for nonlinear multi-agent systems with unknown measurement sensitivities

• Learning CT projection denoising from adjacent views

• Learning Shared Semantic Space with Correlation Alignment for Cross-Modal Event Retrieval

• Learning domain-invariant representation for generalizing face forgery detection

• Learning and Short-Term Retention of Simulation-Based Arthroscopic Skills

• Letter to the Editor: Clinicopathological Characteristics and Surgical Outcomes of Primary Cystic Duct Carcinoma: A Multi-Institutional Study

• Learning to Predict the Mobility of Users in Mobile mmWave Networks

• Leveraging Memory Copy Overlap for Efficient Sparse Matrix-Vector Multiplication on GPUs

• Learning knowledge graph embedding with multi-granularity relational augmentation network

• Learning successive weak synchronization transitions and coupling directions by reservoir computing

• Learning image blind denoisers without explicit noise modeling

• Learning features from irrelevant domains through deep neural network

• Learning Disentangled Features for Person Re-identification under Clothes Changing

• Leveraging ECG signals and social media for stress detection

• Learning-Based Compensation-Corrective Control Strategy for Upper Limb Rehabilitation Robots

• Letter to the Editor regarding the article "SGLT2 inhibitors and cardiovascular and renal outcomes: a meta-analysis and trial sequential analysis"

• Learning protein subcellular localization multi-view patterns from heterogeneous data of imaging, sequence and networks

• Leading mediators of sex differences in the incidence of dementia in community-dwelling adults in the UK Biobank: a retrospective cohort study

• Lesion-specific exposure parameters for breast cancer diagnosis on digital breast tomosynthesis and full-field digital mammography

• Leptophilic-portal dark matter in the light of AMS-02 positron excess

• Letter: cross-linkage between bacterial taxonomy and gene functions-a study of metagenome-assembled genomes of gut microbiota in adult non-alcoholic fatty liver disease

• Learning to Remove Shadows from a Single Image

• Learning consumer preferences through textual and visual data: a multi-modal approach

• Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses

• Learning refined features for open-world text classification with class description and commonsense knowledge