AIMC Topic: Nitrogen

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Deep learning prediction and experimental investigation of specific capacitance of nitrogen-doped porous biochar.

Bioresource technology May 25, 2024
N-doped porous biochar is a promising carbon material for supercapacitor electrodes due to its developed pore structure and high chemical activity which greatly affect the capacitive performance. Predicting the capacitance and exploring the most infl...
Deep Learning Nitrogen Electrodes Electric Capacitance Charcoal Porosity
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Prediction models for bioavailability of Cu and Zn during composting: Insights into machine learning.

Journal of hazardous materials Apr 23, 2024
Bioavailability assessment of heavy metals in compost products is crucial for evaluating associated environmental risks. However, existing experimental methods are time-consuming and inefficient. The machine learning (ML) method has demonstrated exce...
Electric Conductivity Models, Theoretical Composting Phosphorus Soil Pollutants Machine Learning Neural Networks, Computer Soil Biological Availability Nitrogen Zinc Copper Hydrogen-Ion Concentration
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Effect of different targets of goal-directed fluid therapy on intraoperative hypotension and fluid infusion in robot-assisted laparoscopic gynecological surgery: a randomized non-inferiority trial.

Journal of robotic surgery Mar 16, 2024
Carotid corrected flow time (FTc) and tidal volume challenge pulse pressure variation (VtPPV) are useful clinical parameters for assessing volume status and fluid responsiveness in robot-assisted surgery, but their usefulness as goal-directed fluid t...
Goals Urea Gynecologic Surgical Procedures Nitrogen Hypotension Humans Female Prospective Studies Robotics Laparoscopy Robotic Surgical Procedures Fluid Therapy
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Deep learning-assisted flavonoid-based fluorescent sensor array for the nondestructive detection of meat freshness.

Food chemistry Mar 4, 2024
Gas sensors containing indicators have been widely used in meat freshness testing. However, concerns about the toxicity of indicators have prevented their commercialization. Here, we prepared three fluorescent sensors by complexing each flavonoid (fi...
Flavonoids Meat Nitrogen Neural Networks, Computer Deep Learning Coloring Agents
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Tree-structured parzen estimator optimized-automated machine learning assisted by meta-analysis for predicting biochar-driven NO mitigation effect in constructed wetlands.

Journal of environmental management Feb 17, 2024
Biochar is a carbon-neutral tool for combating climate change. Artificial intelligence applications to estimate the biochar mitigation effect on greenhouse gases (GHGs) can assist scientists in making more informed solutions. However, there is also e...
Wetlands Nitrous Oxide Soil Charcoal Artificial Intelligence Nitrogen Machine Learning
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Prediction of Aureococcus anophageffens using machine learning and deep learning.

Marine pollution bulletin Feb 15, 2024
The recurrent brown tide phenomenon, attributed to Aureococcus anophagefferens (A. anophagefferens), constitutes a significant threat to the Qinhuangdao sea area in China, leading to pronounced ecological degradation and substantial economic losses. ...
Nitrogen Stramenopiles Reproducibility of Results Machine Learning Deep Learning
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>Water quality prediction of artificial intelligence model: a case of Huaihe River Basin, China.

Environmental science and pollution research international Jan 26, 2024
Accurate prediction of water quality contributes to the intelligent management of water resources. Water quality indices have time series characteristics and nonlinearity, but the existing models only focus on the forward time series when long short-...
Artificial Intelligence China Water Quality Rivers Nitrogen
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Taxonomy, biological characterization and fungicide sensitivity assays of Hypomyces cornea sp. nov. causing cobweb disease on Auricularia cornea.

Fungal biology Dec 31, 2023
Auricularia cornea is an important edible mushroom crop in China but the occurrence of cobweb disease has cause significance economic loss in its production. The rate of disease occurrence is 16.65% all over the country. In the present study, a new p...
Hypocreales Auricularia Nitrogen Carbon Cornea Agaricales Phylogeny Fungicides, Industrial
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Identification of pollution source and prediction of water quality based on deep learning techniques.

Journal of contaminant hydrology Dec 23, 2023
Semi-arid rivers are particularly vulnerable and responsive to the impacts of industrial contamination. Prompt identification and projection of pollutant dynamics are crucial in the accidental pollution incidents, therefore required the timely inform...
Water Quality Environmental Monitoring Rivers Water Pollutants, Chemical Water Pollution Ammonia Deep Learning Nitrogen Phosphorus China
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Machine learning-based model construction and identification of dominant factor for simultaneous sulfide and nitrate removal process.

Bioresource technology Oct 11, 2023
Accurate water quality prediction models are essential for the successful implementation of the simultaneous sulfide and nitrate removal process (SSNR). Traditional models, such as regression and analysis of variance, do not provide accurate predicti...
Nitrogen Artificial Intelligence Sulfides Nitrates Machine Learning Bioreactors
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