AIMC Topic: Nitrogen
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Comparing neural network architectures for simulating pollutant loads and first flush events in urban watersheds: Balancing specialization and generalization.
Chemosphere
Jun 1, 2025
This study investigates the effectiveness of artificial neural networks (ANNs) models in predicting urban water quality, specifically focusing on first flush (FF) event classification and pollutant event mean load (EML) predictions for total suspende...
Machine learning-assisted prediction and identification of key factors affecting nitrogen metabolism for aerobic granular sludge.
Environmental research
May 15, 2025
To achieve higher denitrification efficiency with reduced energy consumption in aerobic granular sludge (AGS) system, a systematic evaluation of the carbon and nitrogen metabolism process for AGS under different stage is essential. Herein, this study...
Model-to-crop conserved NUE Regulons enhance machine learning predictions of nitrogen use efficiency.
The Plant cell
May 9, 2025
Systems biology aims to uncover gene regulatory networks (GRNs) for agricultural traits, but validating them in crops is challenging. We addressed this challenge by learning and validating model-to-crop transcription factor (TF) regulons governing ni...
Application of artificial intelligence for nutrient estimation in surface water bodies of basins with intensive agriculture.
Integrated environmental assessment and management
Mar 1, 2025
Eutrophication is one of the most relevant concerns due to the risk to water supply and food security. Nitrogen and phosphorus chemical species concentrations determined the risk and magnitude of eutrophication. These analyses are even more relevant ...
deepNEC: a novel alignment-free tool for the identification and classification of nitrogen biochemical network-related enzymes using deep learning.
Briefings in bioinformatics
May 13, 2022
Nitrogen is essential for life and its transformations are an important part of the global biogeochemical cycle. Being an essential nutrient, nitrogen exists in a range of oxidation states from +5 (nitrate) to -3 (ammonium and amino-nitrogen), and it...
Prediction of effluent quality in ICEAS-sequential batch reactor using feedforward artificial neural network.
Water science and technology : a journal of the International Association on Water Pollution Research
Jul 1, 2019
It is highly essential that municipal wastewater is treated before its discharge and reuse in order to meet the standard requirements for safe marine life and for farming and industries. It is beneficial to use reclaimed water, since availability of ...
[Nondestructive detection of total nitrogen content in leaves of Santalum album based on ST-PCA-BP neural network.].
Ying yong sheng tai xue bao = The journal of applied ecology
May 1, 2018
Nitrogen is one of the most important elements for plant growth. Producers often use a lot of nitrogen fertilizer during plant growth process. However, excessive fertilizer often cause ground-water pollution. In this study, we proposed a nondestructi...
Effect of Liquid Nitrogen Flushing of Extender on Seminal Antioxidant Profile of Murrah Buffalo during Cryopreservation.
Cryo letters
Jan 1, 2018
BACKGROUND: The dissolved oxygen in the extender may act as a source for the production of reactive oxygen species that may lead to reduced seminal antioxidant profile which in turn may be responsible for impaired frozen thawed sperm quality and fert...
Evaluation of Lignin-Modifying Enzyme Activity of Trametes spp. (Agaricomycetes) Isolated from Georgian Forests with an Emphasis on T. multicolor Biosynthetic Potential.
International journal of medicinal mushrooms
Jan 1, 2018
In this study, a wide diversity in lignin-modifying enzyme (LME) secretion by 11 Trametes spp. strains isolated from the forests of Georgia was revealed in their submerged cultivation in both synthetic and lignocellulose-based media. Among them, T. m...
Estimating the leaf nitrogen content of paddy rice by using the combined reflectance and laser-induced fluorescence spectra.
Optics express
Aug 22, 2016
Paddy rice is one of the most important crops in China, and leaf nitrogen content (LNC) serves as a significant indictor for monitoring crop status. A reliable method is needed for precise and fast quantification of LNC. Laser-induced fluorescence (L...
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