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http://dx.doi.org/10.1080/17538157.2021.1994578 | DOI Listing |
Microb Ecol
January 2025
State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China.
The ecological niche separation of microbial interactions in forest ecosystems is critical to maintaining ecological balance and biodiversity and has yet to be comprehensively explored in microbial ecology. This study investigated the impacts of soil properties on microbial interactions and carbon metabolism potential in forest soils across 67 sites in China. Using redundancy analysis and random forest models, we identified soil pH and dissolved organic matter (DOM) aromaticity as the primary drivers of microbial interactions, representing abiotic conditions and resource niches, respectively.
View Article and Find Full Text PDFInt J Behav Med
January 2025
Qilu Hospital of Shandong University, No. 107 Wen Hua Xi Road, Jinan, 250012, Shandong Province, China.
Background: Irritable bowel syndrome (IBS) has been effectively treated with acupuncture, but the significance of quality of life, depression, and anxiety in the assessment of IBS patients has received little consideration. This study examined the impact of acupuncture on depression, anxiety, and quality of life in IBS patients.
Method: PubMed, Cochrane Library, China National Knowledge Infrastructure (CNKI), EMBASE, China Science and Technology Journal Database (VIP), Chinese Biological Medical (CBM, SinoMed) Database, and the Wan Fang Database were among the electronic databases from which relevant randomized controlled trials (RCTs) were systematically retrieved between their inception and July 2023.
Sci Rep
January 2025
Instituto de Ingeniería Energética, Universitat Politècnica de València, Valencia, Spain.
Reliable prediction of photovoltaic power generation is key to the efficient management of energy systems in response to the inherent uncertainty of renewable energy sources. Despite advances in weather forecasting, photovoltaic power prediction accuracy remains a challenge. This study presents a novel approach that combines genetic algorithms and dynamic neural network structure refinement to optimize photovoltaic prediction.
View Article and Find Full Text PDFBackground: Investigators and funding organizations desire knowledge on topics and trends in publicly funded research but current efforts for manual categorization have been limited in breadth and depth of understanding.
Purpose: We present a semi-automated analysis of 21 years of R-type National Cancer Institute (NCI) grants to departments of radiation oncology and radiology using natural language processing (NLP).
Methods: We selected all non-education R-type NCI grants from 2000 to 2020 awarded to departments of radiation oncology/radiology with affiliated schools of medicine.
Am Heart J
January 2025
Kaufman Center for Heart Failure Treatment and Recovery, Heart Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH. Electronic address:
Background: We aim to validate NT-proBNP nonresponse score (NNRS) previously derived from the PROTECT and BATTLESCARRED studies in comparison with standard health status measures in predicting natriuretic peptide responses in patients with heart failure with reduced ejection fraction.
Methods: Data on the GUIDE-IT trial were used to derive the NNRS based on 4 predictors including baseline NT-proBNP, heart rate, NYHA functional class, and history of atrial fibrillation. The discriminative capacity of the NNRS and health status measures for having NT-proBNP >1,000 pg/mL at 12 months was assessed and compared with baseline or follow-up health status measures including Kansas City Cardiomyopathy Questionnaire Overall Summary Score (KCCQ-OSS), Duke Activity Status Index (DASI), and 6-minute walk distance.
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