AIMC Topic: Water
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Artificial intelligence exploration of unstable protocells leads to predictable properties and discovery of collective behavior.
Proceedings of the National Academy of Sciences of the United States of America
Jan 16, 2018
Protocell models are used to investigate how cells might have first assembled on Earth. Some, like oil-in-water droplets, can be seemingly simple models, while able to exhibit complex and unpredictable behaviors. How such simple oil-in-water systems ...
Improving Dissolution Rate of Carbamazepine-Glutaric Acid Cocrystal Through Solubilization by Excess Coformer.
Pharmaceutical research
Dec 29, 2017
PURPOSE: The use of soluble cocrystals is a promising strategy for delivering poorly soluble drugs. However, precipitation of poorly soluble crystal form during dissolution hinders the successful tablet development of cocrystals. This work was aimed ...
A novel N,N'-bis(acetylacetone)ethylenediimine functionalized silica-core shell magnetic nanosorbent for manetic dispersive solid phase extraction of copper in cereal and water samples.
Food chemistry
Dec 27, 2017
Determination of heavy metals at trace levels has a great deal of importance due to their undesirable effects on human life. In this study, N,N'-bis (acetyl acetone) ethylenediimine (FeO@SiO-EDN) was synthesized and applied for dispersive solid phase...
Improved freeze drying efficiency by ice nucleation proteins with ice morphology modification.
Food research international (Ottawa, Ont.)
Dec 14, 2017
This study aims to use ice nucleation proteins (INPs) as a novel approach to improve the efficiency of freeze drying process and investigate the related mechanism of ice morphology. Our results show that INPs can significantly improve freeze drying e...
Design, characterization and control of thermally-responsive and magnetically-actuated micro-grippers at the air-water interface.
PloS one
Dec 13, 2017
The design and control of untethered microrobotic agents has drawn a lot of attention in recent years. This technology truly possesses the potential to revolutionize the field of minimally invasive surgery and microassembly. However, miniaturization ...
Underwater Inherent Optical Properties Estimation Using a Depth Aided Deep Neural Network.
Computational intelligence and neuroscience
Nov 15, 2017
Underwater inherent optical properties (IOPs) are the fundamental clues to many research fields such as marine optics, marine biology, and underwater vision. Currently, beam transmissometers and optical sensors are considered as the ideal IOPs measur...
Microwave assisted dehydration of broccoli by-products and simultaneous extraction of bioactive compounds.
Food chemistry
Nov 14, 2017
Broccoli by-products from frozen-food industry account for 45% of the initial broccoli heads. They consist on stalks, inflorescences, and leaves, blanched and non-blanched, sharing the nutritional value and bioactive compounds of commercial broccoli ...
A Time-Series Water Level Forecasting Model Based on Imputation and Variable Selection Method.
Computational intelligence and neuroscience
Nov 9, 2017
Reservoirs are important for households and impact the national economy. This paper proposed a time-series forecasting model based on estimating a missing value followed by variable selection to forecast the reservoir's water level. This study collec...
A hybrid classifier based on nonlinear-PCA and deep belief networks with applications in dysphagia diagnosis.
Computer assisted surgery (Abingdon, England)
Nov 2, 2017
Traditional dysphagia prescreening diagnostic methods require doctors specialists to give patients a total score based on a water swallow test scale. This method is limited by the high dimensionality of the diagnostic elements in the water swallow te...
Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniques.
Scientific reports
Aug 15, 2017
Plant-based sensing on water stress can provide sensitive and direct reference for precision irrigation system in greenhouse. However, plant information acquisition, interpretation, and systematical application remain insufficient. This study develop...
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