Results 201 to 210 of about 310,032 (319)

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
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, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Metals and Geochemical Indexes in Sediments of a Karstic Coastal Tropical Lagoon: Evaluating the Ecological Risk in Celestun, Yucatan, Mexico. [PDF]

Bull Environ Contam Toxicol
Arcega-Cabrera F, León-Aguirre K, Lamas-Cosío E, Oceguera-Vargas I.   +3 more
europepmc   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Spatio-temporal land-use dynamics and landscape ecological risk assessment in an artificial oasis, Northwestern China. [PDF]

Sci Rep
Song Q, Li L.
europepmc   +1 more source

Manаgement of Environmental Risk

The article is devoted to research methods of diminishing risks for technogenic accidents, natural and ecological disasters, catastrophes and emergency situations.
Ieviņš, Jānis, Bartušauskis, Jānis, Jemeļjanovs, Anatolijs, Atstāja, Dzintra   +3 more
core  

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Effectiveness analysis of ecological networks in ecological risk governance based on the spatiotemporal dynamics. [PDF]

Sci Rep
Lu J, Jiao S, Zhou H, Zhang L, Zhang Q.
europepmc   +1 more source

An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

Advanced Intelligent Systems, EarlyView.
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li, Ailing Gao, Guoxu Liu, Chunlei Chen, Yonghui Zhang, Sunkyoung Kang, M. Khosravi   +6 more
wiley   +1 more source

Ecological risk and source apportionment of heavy metals in riparian soil and sediment of an urban river in a developing country. [PDF]

Sci Rep
Islam MS, Al-Bakky A, Islam ARMT, Ismail Z, Siddique MAB, Antu UB, Ezewudo BI, Ibrahim KA, Idris AM.   +8 more
europepmc   +1 more source

“It Is Much Safer to Be Sparse than Connected”: Safe Control of Robotic Swarm Density Dynamics with PDE Optimization with State Constraints

Advanced Intelligent Systems, EarlyView.
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley   +1 more source