Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jenvman.2022.116857 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Towards repeated clear-cutting of boreal forests - a tipping point for biodiversity?
Biol Rev Camb Philos Soc
January 2025
Section for Genetics and Evolutionary Biology, Department of Biosciences, University of Oslo, P.O. Box 1066 Blindern, Oslo, 0316, Norway.
Boreal forests are important carbon sinks and host a diverse array of species that provide important ecosystem functions. Boreal forests have a long history of intensive forestry, in which even-aged management with clear-cutting has been the dominant harvesting practice for the past 50-80 years. As a second cycle of clear-cutting is emerging, there is an urgent need to examine the effects of repeated clear-cutting events on biodiversity.
View Article and Find Full Text PDFDiscovery of robust and highly specific microbiome signatures of non-alcoholic fatty liver disease.
Microbiome
January 2025
Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Beutenbergstraße 11A, Jena, 07745, Germany.
Background: The pathogenesis of non-alcoholic fatty liver disease (NAFLD) with a global prevalence of 30% is multifactorial and the involvement of gut bacteria has been recently proposed. However, finding robust bacterial signatures of NAFLD has been a great challenge, mainly due to its co-occurrence with other metabolic diseases.
Results: Here, we collected public metagenomic data and integrated the taxonomy profiles with in silico generated community metabolic outputs, and detailed clinical data, of 1206 Chinese subjects w/wo metabolic diseases, including NAFLD (obese and lean), obesity, T2D, hypertension, and atherosclerosis.
Association of pan-immune inflammation value and lung health in adults.
BMC Pulm Med
January 2025
Department of Respiratory Medicine, The First Hospital of Jiaxing (Affiliated Hospital of Jiaxing University), 1882 South Zhonghuan Road, Jiaxing, Zhejiang, 314000, China.
Background: Lung health is intricately linked with inflammation. The pan-immune-inflammation value (PIV) emerges as a promising biomarker, offering reflection into systemic inflammatory states and assisting in the prognosis of diverse diseases. This research aims to explore the associations between PIV and respiratory symptoms, respiratory diseases and lung function.
View Article and Find Full Text PDFEstablishing a GRU-GCN coordination-based prediction model for miRNA-disease associations.
BMC Genom Data
January 2025
Department of Management Information Systems, National Chung Hsing University, Taichung, 402, Taiwan.
Background: miRNAs (microRNAs) are endogenous RNAs with lengths of 18 to 24 nucleotides and play critical roles in gene regulation and disease progression. Although traditional wet-lab experiments provide direct evidence for miRNA-disease associations, they are often time-consuming and complicated to analyze by current bioinformatics tools. In recent years, machine learning (ML) and deep learning (DL) techniques are powerful tools to analyze large-scale biological data.
View Article and Find Full Text PDFDifferentiation between multiple sclerosis and neuromyelitis optic spectrum disorders with multilevel fMRI features: A machine learning analysis.
Sci Rep
January 2025
Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, China.
The conventional statistical approach for analyzing resting state functional MRI (rs-fMRI) data struggles to accurately distinguish between patients with multiple sclerosis (MS) and those with neuromyelitis optic spectrum disorders (NMOSD), highlighting the need for improved diagnostic efficacy. In this study, multilevel functional metrics including resting state functional connectivity, amplitude of low frequency fluctuation (ALFF), and regional homogeneity (ReHo) were calculated and extracted from 116 regions of interest in the anatomical automatic labeling atlas. Subsequently, classifiers were developed using different combinations of these selected features to distinguish between MS and NMOSD.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!