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Assessing the Outbreak Risk of Epidemics Using Fuzzy Evidential Reasoning.

Risk analysis : an official publication of the Society for Risk Analysis Apr 17, 2021
Epidemic diseases (EDs) present a significant but challenging risk endangering public health, evidenced by the outbreak of COVID-19. Compared to other risks affecting public health such as flooding, EDs attract little attention in terms of risk asses...
Risk Assessment Public Health China Fuzzy Logic Disease Outbreaks Software Humans Principal Component Analysis Epidemics Risk Factors Male Adult COVID-19 Public Health Administration Middle Aged SARS-CoV-2 Sensitivity and Specificity
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Detecting protein and DNA/RNA structures in cryo-EM maps of intermediate resolution using deep learning.

Nature communications Apr 16, 2021
An increasing number of density maps of macromolecular structures, including proteins and DNA/RNA complexes, have been determined by cryo-electron microscopy (cryo-EM). Although lately maps at a near-atomic resolution are routinely reported, there ar...
Protein Structure, Secondary DNA Models, Molecular Computational Biology Software Deep Learning Nucleic Acid Conformation Cryoelectron Microscopy RNA
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Artificial intelligence in radiology: 100 commercially available products and their scientific evidence.

European radiology Apr 15, 2021
OBJECTIVES: Map the current landscape of commercially available artificial intelligence (AI) software for radiology and review the availability of their scientific evidence.
Software Humans Artificial Intelligence Radiography Radiology
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PCprophet: a framework for protein complex prediction and differential analysis using proteomic data.

Nature methods Apr 15, 2021
Despite the availability of methods for analyzing protein complexes, systematic analysis of complexes under multiple conditions remains challenging. Approaches based on biochemical fractionation of intact, native complexes and correlation of protein ...
Databases, Protein Bayes Theorem Chromatography, Gel Protein Conformation Software Proteomics Proteins Machine Learning
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Automatic Search-and-Replace From Examples With Coevolutionary Genetic Programming.

IEEE transactions on cybernetics Apr 15, 2021
We describe the design and implementation of a system for executing search-and-replace text processing tasks automatically, based only on examples of the desired behavior. The examples consist of pairs describing the original string and the desired m...
Models, Genetic Evolution, Molecular Data Mining Software Algorithms Machine Learning
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Democratising deep learning for microscopy with ZeroCostDL4Mic.

Nature communications Apr 15, 2021
Deep Learning (DL) methods are powerful analytical tools for microscopy and can outperform conventional image processing pipelines. Despite the enthusiasm and innovations fuelled by DL technology, the need to access powerful and compatible resources ...
Deep Learning Cell Line, Tumor Image Processing, Computer-Assisted Software Animals Datasets as Topic Cloud Computing Primary Cell Culture Rats Microscopy Humans
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G2Basy: A framework to improve the RNN language model and ease overfitting problem.

PloS one Apr 14, 2021
Recurrent neural networks are efficient ways of training language models, and various RNN networks have been proposed to improve performance. However, with the increase of network scales, the overfitting problem becomes more urgent. In this paper, we...
Natural Language Processing Machine Learning Software
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Nonlinear process modeling via unidimensional convolutional neural networks with self-attention on global and local inter-variable structures and its application to process monitoring.

ISA transactions Apr 13, 2021
Nonlinear process modeling is a primary task in intelligent manufacturing, aiming at extracting high-value features from massive process data for further process analysis like process monitoring. However, it is still a challenge to develop nonlinear ...
Software Algorithms Nonlinear Dynamics Intelligence Neural Networks, Computer
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The whole is greater than its parts: ensembling improves protein contact prediction.

Scientific reports Apr 13, 2021
The prediction of amino acid contacts from protein sequence is an important problem, as protein contacts are a vital step towards the prediction of folded protein structures. We propose that a powerful concept from deep learning, called ensembling, c...
Protein Conformation Protein Folding Sequence Analysis, Protein Proteins Models, Molecular Neural Networks, Computer Algorithms Deep Learning Software Computational Biology
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Current Status and Quality of Machine Learning-Based Radiomics Studies for Glioma Grading: A Systematic Review.

Oncology Apr 13, 2021
INTRODUCTION: Radiomics now has significant momentum in the era of precision medicine. Glioma is one of the pathologies that has been extensively evaluated by radiomics. However, this technique has not been incorporated into clinical practice. In thi...
Neoplasm Grading Software Humans Precision Medicine Machine Learning Glioma Retrospective Studies Magnetic Resonance Imaging
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