Results 141 to 150 of about 476,390 (273)
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
Design and analysis of large semantic networks
A study of the possibility of subject area isolating, based on the connectivity of its concepts is presented. Graph of links between articles for "Space" category of russian wikipedia was created. Graph if presented as lists of nodes and links. Algorithm of finding areas of high connectivity in semantic networks: -First node is the subject area; -The ...
Kostyuchenko, Evgeny, Taisiya Lebedeva
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
Big Data communication researchers have highlighted the need for qualitative analysis of online science conversations to better understand their meaning.
Travis Noakes +3 more
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
This study explores the use of immersive Virtual Reality (VR) cave environments to investigate hypotheses concerning altered states of consciousness, creativity, and flexible thinking in archaeological contexts.
Nicola De Pisapia +4 more
doaj +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen +6 more
wiley +1 more source
An exploration of the knowledge structure in studies on old people physical activities in Journal of Exercise Rehabilitation: by semantic network analysis. [PDF]
Jeon SW, Kim JY.
europepmc +1 more source
Graph Analysis of the Associative-Semantic Network
Explicit associative-semantic processing of words and pictures activates a distributed set of brain areas that has been replicated across a wide range of studies. In our lab we have already a long tradition to study these regions in normal subjects as well as in different patient populations.
openaire +2 more sources

