Results 161 to 170 of about 398,272 (314)
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
Advancing a taxonomy of proxemics for socially aware robot navigation. [PDF]
Nahum E, Edan Y, Oron-Gilad T.
europepmc +1 more source
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
Virus taxonomy and the ICTV - 21 FAQs for the perplexed virologist. [PDF]
Smith DB, Simmonds P, Siddell SG.
europepmc +1 more source
A New Taxonomy of Economic sectors With a View to Policy Implications [PDF]
This paper is an attempt to tease out a taxonomy of economic sectors based on a systems approach to innovation and economic growth that may be useful for policy analysis.
Peter Carroll +2 more
core
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
ICTV Virus Taxonomy Profile: <i>Rhabdoviridae</i> 2026. [PDF]
Walker PJ +14 more
europepmc +1 more source
The main descriptive characters of sabellid polychaetes are presented. Easily misunderstood morphological features are clarified by a series of schematic drawings.
Cochrane, Sabine J.
core
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
A method description for developing critical reading skills through a digital platform based on Barrett's taxonomy. [PDF]
Turakulova B +6 more
europepmc +1 more source

