Results 31 to 40 of about 34,156 (192)
Beyond the Edge: Charge‐Transfer Excitons in Organic Donor‐Acceptor Cocrystals
Advanced Functional Materials, EarlyView.Complex excitonic landscapes in acene–perfluoroacene cocrystals are unveiled by polarization‐resolved optical spectroscopy and many‐body theory. This systematic study of a prototypical model system for weakly interacting donor–acceptor compounds challenges common views of charge‐transfer excitons, providing a refined conceptual framework for ...
Sebastian Anhäuser +6 more
wiley +1 more source
Connecting concepts in the brain by mapping cortical representations of semantic relations
Nature Communications, 2020 Researchers leverage advances in machine learning to study the brain’s mechanism for natural language processing. Results suggest that the brain represents a continuous semantic space and uses distributed cortical networks for differential coding of ...
Yizhen Zhang +3 more
doaj +1 more source
Automatic ICD-10 coding: Deep semantic matching based on analogical reasoning
Heliyon, 2023 Background: ICD-10 has been widely used in statistical analysis of mortality rates and medical reimbursement. Automatic ICD-10 coding is desperately needed because manually assigning codes is expensive, time-consuming, and labor-intensive.
Yani Chen +5 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.Cerebral organoids are transforming brain research, yet the field remains fragmented. This comprehensive systematic review maps 738 studies published between 2014 and 2024 to uncover trends, gaps, and opportunities across neuroscience. Introducing OrganoidMap—an interactive, open‐access platform to explore and compare models—this work enables ...
Anna Wolfram +10 more
wiley +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Linguistic Discovery, 2010 The aim of this paper is to explore the degree to which semantic maps and conceptual spaces may comprehensively describe cross-linguistic variation by discussing the types of phenomena that may be consistently represented in a unified account.
Caterina Mauri
doaj +1 more source
Il connettivo concessivo tuttavia e i suoi corrispettivi russi: un’analisi contrastiva corpus-based
MediAzioni, 2023 From a semantic perspective the relation of concession can be defined as a specific type of contrast between two states of affairs, i.e. counterexpectative contrast, in which the conflict originates by the denial of an assumption, generated by the first ...
Filippo Pecorari, Erica Pinelli
doaj +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
LA-TextCNN-BiLSTM: A classification model for ICD-11
Informatics and HealthBackground: A model for ICD-11 automatic coding is proposed for the problem of ICD-11 automatic coding to further improve the coding performance. Methods: This study proposes an ICD-11 automatic encoding model based on label attention mechanism to ...
Bocheng Li +3 more
doaj +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source