Semantic memory (SM) is the form of declarative memory responsible for learning, storing, and retrieving knowledge about the world for goal-directed ...

Description Microbial metabolism represents one of the most chemically diverse and functionally complex systems in nature. Despite decades of research, a ...

Multimodal models and world models are emerging as promising frameworks for extending language-based AI beyond text, towards ...

Complex nonlinear phenomena govern the behavior of physical systems across a remarkable range of scales and disciplines - from wave propagation, fluid ...

Rivers play a fundamental role in the Earth system by regulating the hydrological cycle, transporting sediment and nutrients, shaping landscapes, and ...

Machine learning has emerged as a transformative force in the field of neurosurgery, offering innovative tools to predict surgical outcomes with greater ...

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

The recent breakthroughs in miniaturized, efficient sensors, particularly in portable field applications, have utilized resonant optics in achieving ...

Gynecologic and breast cancers represent a major global health burden and remain among the leading causes of cancer-related morbidity and mortality in ...

The field of dental materials science is undergoing rapid transformation through the application of advanced surface modification and functionalization ...

The rapidly advancing field of neuroimmunology has revealed that the nervous, immune, and endocrine systems maintain continuous, bidirectional communication ...