AIMC Topic: Water

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Bioinspired multiscale adaptive suction on complex dry surfaces enhanced by regulated water secretion.

Proceedings of the National Academy of Sciences of the United States of America Apr 1, 2024
Suction is a highly evolved biological adhesion strategy for soft-body organisms to achieve strong grasping on various objects. Biological suckers can adaptively attach to dry complex surfaces such as rocks and shells, which are extremely challenging...
Robotics Equipment Design Suction Water
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HydraProt: A New Deep Learning Tool for Fast and Accurate Prediction of Water Molecule Positions for Protein Structures.

Journal of chemical information and modeling Mar 29, 2024
Water molecules are integral to the structural stability of proteins and vital for facilitating molecular interactions. However, accurately predicting their precise position around protein structures remains a significant challenge, making it a vibra...
Neural Networks, Computer Water Software Deep Learning Proteins
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Design and implementation of origami robot ROS-based SLAM and autonomous navigation.

PloS one Mar 28, 2024
In this study an innovative parameterized water-bomb wheel modeling method based on recursive solving are introduced, significantly reducing the modeling workload compared to traditional methods. A multi-link supporting structure is designed upon the...
Robotics Water Algorithms Reactive Oxygen Species Computer Simulation
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Multiple forces facilitate the aquatic acrobatics of grasshopper and bioinspired robot.

Proceedings of the National Academy of Sciences of the United States of America Mar 25, 2024
Aquatic locomotion is challenging for land-dwelling creatures because of the high degree of fluidity with which the water yields to loads. We surprisingly found that the Chinese rice grasshopper , known for its terrestrial acrobatics, could swiftly l...
Robotics Insecta Locomotion Grasshoppers Animals Biomechanical Phenomena Water
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Physics-assisted machine learning for THz time-domain spectroscopy: sensing leaf wetness.

Scientific reports Mar 25, 2024
Signal processing techniques are of vital importance to bring THz spectroscopy to a maturity level to reach practical applications. In this work, we illustrate the use of machine learning techniques for THz time-domain spectroscopy assisted by domain...
Machine Learning Water Plant Leaves Spectrum Analysis Physics
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Rapid discrimination and ratio quantification of mixed antibiotics in aqueous solution through integrative analysis of SERS spectra via CNN combined with NN-EN model.

Journal of advanced research Mar 24, 2024
INTRODUCTION: Abusing antibiotic residues in the natural environment has become a severe public health and ecological environmental problem. The side effects of its biochemical and physiological consequences are severe. To avoid antibiotic contaminat...
Levofloxacin Neural Networks, Computer Doxycycline Algorithms Water Pollutants, Chemical Ciprofloxacin Water Anti-Bacterial Agents Spectrum Analysis, Raman Deep Learning
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Optimization of computational intelligence approach for the prediction of glutinous rice dehydration.

Journal of the science of food and agriculture Mar 22, 2024
BACKGROUND: Five computational intelligence approaches, namely Gaussian process regression (GPR), artificial neural network (ANN), decision tree (DT), ensemble of trees (EoT) and support vector machine (SVM), were used to describe the evolution of mo...
Neural Networks, Computer Bayes Theorem Oryza Dehydration Support Vector Machine Artificial Intelligence Decision Trees Water
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Application of deep learning in predicting suspended sediment concentration: A case study in Jiaozhou Bay, China.

Marine pollution bulletin Mar 20, 2024
Previous research methodologies for quantifying Suspended Sediment Concentration (SSC) have encompassed in-situ observations, numerical simulations, and analyses of remote sensing datasets, each with inherent constraints. In this study, we have harne...
Geologic Sediments Bays Water Environmental Monitoring Deep Learning China
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A fuzzy interval dynamic optimization model for surface and groundwater resources allocation under water shortage conditions, the case of West Azerbaijan Province, Iran.

Environmental science and pollution research international Mar 18, 2024
The allocation of water in areas which face shortage of water especially during hot dry seasons is of utmost importance. This is normally affected by various factors, the management of which takes a lot of time and energy with efforts falling inferti...
Iran Water Supply Groundwater Fuzzy Logic Azerbaijan Water Resources Resource Allocation Water Models, Theoretical
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Simplex Lattice Design and Machine Learning Methods for the Optimization of Novel Microemulsion Systems to Enhance p-Coumaric Acid Oral Bioavailability: In Vitro and In Vivo Studies.

AAPS PharmSciTech Mar 6, 2024
Novel p-coumaric acid microemulsion systems were developed to circumvent its absorption and bioavailability challenges. Simplex-lattice mixture design and machine learning methods were employed for optimization. Two optimized formulations were charac...
Humans Caco-2 Cells Coumaric Acids Machine Learning Water Polysorbates
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