Results 181 to 190 of about 762,487 (301)

Assessing the ecological risk of metals in sediments [PDF]

Environmental Toxicology and Chemistry, 1996
G.T. Ankley, D.M. Di Toro, D.J. Hansen, W.J. Berry   +3 more
openaire   +1 more source

Profile distribution and ecological risk assessment of organochlorine pesticides (OCPs) in environmental matrices of Uchalli and Khabeki Lakes. [PDF]

Sci Rep
Aamir U, Sharif F, Waheed S, Aslam R, Shahzad M, Shahzad L, Rasheed R, Ghafoor GZ, Hayyat MU, Naqvi F.   +9 more
europepmc   +1 more source

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

Derivation of a Freshwater Quality Benchmark and an Ecological Risk Assessment of Ferric Iron in China. [PDF]

Toxics
Geng Q, Guo F.
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

Characterization, Source Analysis, and Ecological Risk Assessment of Heavy Metal Pollution in Surface Soils from the Central-Western Ali Region on the Tibetan Plateau. [PDF]

Toxics
Huang Y, He T, Luo J, Ma X, Zhang T.
europepmc   +1 more source

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

Elements pollution and ecological risk assessment of coastal sediments along the Nile Delta. [PDF]

Sci Rep
Hassaan MA, Dardeer AG, El Nemr A.
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

Heavy Metal Enrichment in Ferromanganese Nodules and Soil Ecological Risk Assessment in the Karst Area with High Geological Background. [PDF]

Toxics
Zhang X, Su Y, Wang H, Lü S, Su J, Wei G, Huang H.   +6 more
europepmc   +1 more source