AIMC Journal:
The Science of the total environment

Showing 191 to 200 of 226 articles

Microbiome composition and implications for ballast water classification using machine learning.

The Science of the total environment Jul 4, 2019
Ballast water is a vector for global translocation of microorganisms, and should be monitored to protect human and environmental health. This study utilizes high throughput sequencing (HTS) and machine learning to examine the bacterial and fungal mic...
Microbiota Ships Water Microbiology Machine Learning Environmental Monitoring
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Effects of combining modern recovery techniques with neurotrophic medication and standard treatment in stroke patients.

The Science of the total environment May 7, 2019
Stroke is the main cause of disability after age 65, leaving survivors with sequels that require care and recovery treatment lasting years. It is estimated that by the year 2030 this pathology will be leading cause of mortality. To determine the effi...
Physical Therapy Modalities Romania Balneology Amino Acids Neuroprotective Agents Female Humans Stroke Aged, 80 and over Aged Prospective Studies Robotics Middle Aged Male
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Modelling the influence of environmental parameters over marine planktonic microbial communities using artificial neural networks.

The Science of the total environment Apr 26, 2019
Guanabara Bay is a tropical estuarine ecosystem that receives massive anthropogenic impacts from the metropolitan region of Rio de Janeiro. This ecosystem suffers from an ongoing eutrophication process that has been shown to promote the emergence of ...
Bays Microbiota Plankton Neural Networks, Computer Environmental Monitoring Models, Biological Brazil
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Machine-learned modeling of PM exposures in rural Lao PDR.

The Science of the total environment Apr 18, 2019
This study presents a machine-learning-enhanced method of modeling PM personal exposures in a data-scarce, rural, solid fuel use context. Data collected during a cookstove (Africa Clean Energy (ACE)-1 solar-battery-powered stove) intervention program...
Laos Environmental Exposure Cooking Air Pollution Particulate Matter Rural Population Environmental Monitoring Models, Statistical Air Pollutants Humans Family Characteristics Machine Learning
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Innovation hotspots in food waste treatment, biogas, and anaerobic digestion technology: A natural language processing approach.

The Science of the total environment Apr 7, 2019
The objective of this study is to apply natural language processing to identifying innovative technology trends related to food waste treatment, biogas, and anaerobic digestion. The methodology used involved analyzing large volumes of text data mined...
Natural Language Processing Anaerobiosis Biofuels Food Refuse Disposal Methane Bioreactors
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Widespread occurrence of glyphosate in urine from pet dogs and cats in New York State, USA.

The Science of the total environment Dec 31, 2018
Glyphosate is one of the most widely used herbicides in the United States, which has led to its ubiquitous occurrence in food and water and regular detection in human urine at concentrations of 1-10 μg/L. Data pertaining to health risks arising from ...
Glyphosate New York Cats Environmental Pollutants Female Sex Factors Glycine Male Dogs Animals Herbicides Age Factors
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Gradients of three coastal environments off the South China Sea and their impacts on the dynamics of heterotrophic microbial communities.

The Science of the total environment Dec 27, 2018
Heterotrophic fungus-like marine protists are recognized to contribute significantly to the coastal carbon cycling largely due to their high biomass and ability to decompose recalcitrant organic matter. Yet, little is known about their dynamics at po...
Hong Kong Seawater Biomass Bacterial Physiological Phenomena Microbiota Environmental Monitoring Heterotrophic Processes Microscopy, Fluorescence Fungi Flow Cytometry
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Integrated analysis of urbanization-triggered land use change trajectory and implications for ecological land management: A case study in Fuyang, China.

The Science of the total environment Dec 22, 2018
Land use change under rapid urbanization can drastically change terrestrial ecological conditions. This study presents an integrated analysis of land use dynamics and the resultant ecological impacts on sustainable development over the past 25 years ...
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Improving the environmental impact of palm kernel shell through maximizing its production of hydrogen and syngas using advanced artificial intelligence.

The Science of the total environment Dec 19, 2018
Fossil fuel depletion and the environmental concerns have been under discussion for energy production for many years and finding new and renewable energy sources became a must. Biomass is considered as a net zero CO energy source. Gasification of bio...
Fuzzy Logic Pyrolysis Nuts Gases Biofuels Arecaceae Hydrogen Conservation of Energy Resources
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Assessment of urban flood susceptibility using semi-supervised machine learning model.

The Science of the total environment Dec 15, 2018
In order to identify flood-prone areas with limited flood inventories, a semi-supervised machine learning model-the weakly labeled support vector machine (WELLSVM)-is used to assess urban flood susceptibility in this study. A spatial database is coll...
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