Results 151 to 160 of about 4,114,812 (330)
We systematically reviewed conversion therapy for esophageal squamous cell carcinoma and propose a response‐based treatment strategy for cT4b and M1 disease. For cT4b, we emphasize definitive chemoradiotherapy with timed re‐evaluation and selective salvage or chemoselection to surgery; for M1, conversion is reserved for limited‐burden responders with ...
Eisuke Booka, Hiroya Takeuchi
wiley +1 more source
In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley +1 more source
The Two-Level Theory of verb meaning: An approach to integrating the semantics of action with the mirror neuron system [PDF]
David Kemmerer +1 more
openalex +1 more source
AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley +1 more source
Normal concrete exhibits poor resistance to chloride penetration, often leading to reinforcement corrosion and premature structural failure. In contrast, ultra-high-performance concrete (UHPC) demonstrates superior resistance to corrosion caused by ...
Wenbo Kang +3 more
doaj +1 more source
CONCERNING ACTION SEMANTIC VERBS
Active action in language includes actions - processes in nature and society, in the animal kingdom, according to the objective basis of semantic verbs. That is, action verbs differ from lexemes in that they belong to a different semantic field by their breadth and complexity, versatility, and the fact that they represent different actions specific to ...
openaire +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Miss-Triggered Content Cache Replacement Under Partial Observability: Transformer-Decoder Q-Learning
Content delivery networks (CDNs) face steadily rising, uneven demand, straining heuristic cache replacement. Reinforcement learning (RL) is promising, but most work assumes a fully observable Markov Decision Process (MDP), unrealistic under delayed ...
Hakho Kim, Teh-Jen Sun, Eui-Nam Huh
doaj +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
The Operational Semantics of Action Notation
Action notation is used in the action semantics fratnework, for specifying actions representing program behaviour. It is defined by a structural operational semantics together with a bisimulation-based equivalence that satisfies some simple algebraic laws.
openaire +3 more sources

