AIMC Topic: Water

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Identifying nonadditive contributions to the hydrophobicity of chemically heterogeneous surfaces via dual-loop active learning.

The Journal of chemical physics Jan 14, 2022
Hydrophobic interactions drive numerous biological and synthetic processes. The materials used in these processes often possess chemically heterogeneous surfaces that are characterized by diverse chemical groups positioned in close proximity at the n...
Machine Learning Water Neural Networks, Computer Hydrophobic and Hydrophilic Interactions Proteins Molecular Dynamics Simulation
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Multi-instance learning of graph neural networks for aqueous pKa prediction.

Bioinformatics (Oxford, England) Jan 12, 2022
MOTIVATION: The acid dissociation constant (pKa) is a critical parameter to reflect the ionization ability of chemical compounds and is widely applied in a variety of industries. However, the experimental determination of pKa is intricate and time-co...
Neural Networks, Computer Water
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CNN Features and Optimized Generative Adversarial Network for COVID-19 Detection from Chest X-Ray Images.

Critical reviews in biomedical engineering Jan 1, 2022
Coronavirus is a RNA type virus, which makes various respiratory infections in both human as well as animals. In addition, it could cause pneumonia in humans. The Coronavirus affected patients has been increasing day to day, due to the wide spread of...
X-Rays Neural Networks, Computer COVID-19 Deep Learning Water Humans
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Deep learning-based high-throughput phenotyping accelerates gene discovery for stomatal traits.

Plant physiology Nov 3, 2021
Droughts Plant Stomata Sorghum Quantitative Trait Loci Deep Learning Genome-Wide Association Study Water Zea mays Algorithms Phenotype Neural Networks, Computer
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Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions.

Plant physiology Nov 3, 2021
Sorghum (Sorghum bicolor) is a model C4 crop made experimentally tractable by extensive genomic and genetic resources. Biomass sorghum is studied as a feedstock for biofuel and forage. Mechanistic modeling suggests that reducing stomatal conductance ...
Gene Expression Profiling Genome-Wide Association Study Water Machine Learning Phenotype Life History Traits Sorghum Genetic Techniques
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Finite-time stability and optimal control of an impulsive stochastic reaction-diffusion vegetation-water system driven by Lévy process with time-varying delay.

Mathematical biosciences and engineering : MBE Sep 27, 2021
In this paper, a reaction-diffusion vegetation-water system with time-varying delay, impulse and Lévy jump is proposed. The existence and uniqueness of the positive solution are proved. Meanwhile, mainly through the principle of comparison, we obtain...
Stochastic Processes Neural Networks, Computer Time Factors Water Diffusion
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Different molecular enumeration influences in deep learning: an example using aqueous solubility.

Briefings in bioinformatics May 20, 2021
Aqueous solubility is the key property driving many chemical and biological phenomena and impacts experimental and computational attempts to assess those phenomena. Accurate prediction of solubility is essential and challenging, even with modern comp...
Solubility Neural Networks, Computer Deep Learning Algorithms Water
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Collective dynamics in entangled worm and robot blobs.

Proceedings of the National Academy of Sciences of the United States of America Feb 9, 2021
Living systems at all scales aggregate in large numbers for a variety of functions including mating, predation, and survival. The majority of such systems consist of unconnected individuals that collectively flock, school, or swarm. However, some agg...
Desiccation Taxis Response Temperature Locomotion Volatilization Imaging, Three-Dimensional Annelida Phototaxis Robotics Models, Biological Animals Stress, Physiological Water
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Making urban water smart: the SMART-WATER solution.

Water science and technology : a journal of the International Association on Water Pollution Research Dec 1, 2020
The rise of Internet of Things (IoT), coupled with the advances in Artificial Intelligence technologies and cloud-based applications, have caused fundamental changes in the way societies behave. Enhanced connectivity and interactions between physical...
Water Artificial Intelligence Industry Technology
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New prostate MRI techniques and sequences.

Abdominal radiology (New York) Dec 1, 2020
Prostate MRI has seen increasing interest in recent years and has led to the development of new MRI techniques and sequences to improve prostate cancer (PCa) diagnosis which are reviewed in this article. Numerous studies have focused on improving ima...
Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging Prostatic Neoplasms Humans Artificial Intelligence Male Water
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