AIMC Topic: Water

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Temporal variation and sharing of antibiotic resistance genes between water and wild fish gut in a peri-urban river.

Journal of environmental sciences (China) Oct 24, 2020
Antibiotic resistance genes (ARGs) as emergence contaminations have spread widely in the water environment. Wild fish may be recipients and communicators of ARGs in the water environment, however, the distribution and transmission of ARGs in the wild...
RNA, Ribosomal, 16S Water Genes, Bacterial Drug Resistance, Microbial Gastrointestinal Microbiome Rivers Anti-Bacterial Agents Animals
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Optimization of Ecological Water Supplement Scheme for Improved Suitable Habitat Area for Rare Migratory Birds in Nature Reserves Using Interval-Parameter Fuzzy Two-Stage Stochastic Programming Model.

International journal of environmental research and public health Oct 17, 2020
The optimization of ecological water supplement scheme in Momoge National Nature Reserve (MNNR), using an interval-parameter two-stage stochastic programming model (IPTSP), still experiences problems with fuzzy uncertainties and the wide scope of the...
Uncertainty Models, Theoretical Fuzzy Logic Animals Ecosystem Birds Water
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Accurate predictions of aqueous solubility of drug molecules via the multilevel graph convolutional network (MGCN) and SchNet architectures.

Physical chemistry chemical physics : PCCP Oct 16, 2020
Deep learning based methods have been widely applied to predict various kinds of molecular properties in the pharmaceutical industry with increasingly more success. In this study, we propose two novel models for aqueous solubility predictions, based ...
Deep Learning Solubility Datasets as Topic Water Pharmaceutical Preparations Databases, Chemical
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Detecting Technical Anomalies in High-Frequency Water-Quality Data Using Artificial Neural Networks.

Environmental science & technology Oct 16, 2020
Anomaly detection (AD) in high-volume environmental data requires one to tackle a series of challenges associated with the typical low frequency of anomalous events, the broad-range of possible anomaly types, and local nonstationary environmental con...
Water Bayes Theorem Water Quality Neural Networks, Computer
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Using machine learning to understand the implications of meteorological conditions for fish kills.

Scientific reports Oct 12, 2020
Fish kills, often caused by low levels of dissolved oxygen (DO), involve with complex interactions and dynamics in the environment. In many places the precise cause of massive fish kills remains uncertain due to a lack of continuous water quality mon...
Rivers Ecosystem Air Pressure Water Seasons Meteorological Concepts Environmental Monitoring Fishes Machine Learning Oxygen Humans Animals
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Artificial intelligence in the water domain: Opportunities for responsible use.

The Science of the total environment Sep 29, 2020
Recent years have seen a rise of techniques based on artificial intelligence (AI). With that have also come initiatives for guidance on how to develop "responsible AI" aligned with human and ethical values. Compared to sectors like energy, healthcare...
Forecasting Humans Water Artificial Intelligence
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A protein-coated micro-sucker patch inspired by octopus for adhesion in wet conditions.

Scientific reports Sep 23, 2020
In medical robotics, micromanipulation becomes particularly challenging in the presence of blood and secretions. Nature offers many examples of adhesion strategies, which can be divided into two macro-categories: morphological adjustments and chemica...
Adhesiveness Mytilus edulis Micromanipulation Octopodiformes Animals Water Robotics Biomimetic Materials
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Design and Fabrication of a Low-Cost Silicone and Water-Based Soft Actuator with a High Load-to-Weight Ratio.

Soft robotics Aug 21, 2020
Traditional actuators, such as motors as well as hydraulic or pneumatic artificial muscles, demonstrate excessive noise, a heavy weight, and a large size, which limit their practical application in many areas. Therefore, for many decades, scientists ...
Mechanical Phenomena Water Robotics Equipment Design Silicones
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Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case study in an arid oasis, NW China.

Environmental pollution (Barking, Essex : 1987) Aug 14, 2020
In arid and semi-arid regions, water-quality problems are crucial to local social demand and human well-being. However, the conventional remote sensing-based direct detection of water quality parameters, especially using spectral reflectance of water...
China Water Humans Machine Learning Nitrogen Plants
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Efficient and Accurate Simulations of Vibrational and Electronic Spectra with Symmetry-Preserving Neural Network Models for Tensorial Properties.

The journal of physical chemistry. B Aug 11, 2020
Machine learning has revolutionized the high-dimensional representations for molecular properties such as potential energy. However, there are scarce machine learning models targeting tensorial properties, which are rotationally covariant. Here, we p...
Machine Learning Water Electronics Vibration Neural Networks, Computer
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