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Article
TPBFS: two populations based feature selection method for medical data
The high-dimensional nature of medical data frequently results in suboptimal performance of machine learning models. Applying feature selection before classification is necessary to improve the performance of ...
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Article
Open AccessHIFINet: Examination-Diagnosis-Treatment Hierarchical Feedback Interaction Network for Medication Recommendation
Medication combination recommendation is critical in clinic, since accurately predicting therapeutic drug can provide essential decision support to physicians. However, current approaches do not consider the m...
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Chapter and Conference Paper
A Weakly Supervised Deep Learning Model for Alzheimer’s Disease Prognosis Using MRI and Incomplete Labels
Predicting cognitive scores using magnetic resonance imaging (MRI) can aid in the early recognition of Alzheimer’s disease (AD) and provide insights into future disease progression. Existing methods typically ...
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Article
A motion recognition model for upper-limb rehabilitation exercises
In recent years, autonomous rehabilitation training systems with no or reduced supervision have attracted much research attentions. It is essential to automatically record and recognize motions so as to realiz...
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Article
Open AccessPredicting in-hospital outcomes of patients with acute kidney injury
Acute kidney injury (AKI) is prevalent and a leading cause of in-hospital death worldwide. Early prediction of AKI-related clinical events and timely intervention for high-risk patients could improve outcomes....
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Article
A Word-Concept Heterogeneous Graph Convolutional Network for Short Text Classification
Text classification is an important task in natural language processing. However, most of the existing models focus on long texts, and their performance in short texts is not satisfied due to the problem of da...
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Article
Exploring Chinese word embedding with similar context and reinforcement learning
Chinese word embedding has attracted considerable attention in the field of natural language processing. Existing methods model the relation between target and neighbouring contextual words. However, with the ...
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Article
A theoretical study on gas-phase reaction of methylketene with OH: mechanism, kinetics, and insights
The oxidation mechanism of CH3CHCO initiated by OH is systematically studied using quantum theoretical methods. According to thermodynamic research, the dominant channel is the addition of CH3CHCO with OH generat...
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Article
Theoretical investigations on mechanisms and kinetics of methylketene with O(3P) reaction in the atmosphere
The O(3P)-initiated conversion mechanism and dynamics of CH3CHCO were researched in atmosphere by executing density functional theory (DFT) computations. Optimizations of all the species and single-point energy c...
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Article
Open AccessThe effectiveness and safety of Tai Chi for patients with essential hypertension: study protocol for an open-label single-center randomized controlled trial
Evidence showed that Tai Chi may have beneficial effects among hypertensive individuals, although the results are not convincing. We aim to conduct a high-quality clinical trial with 24-h BP measurement to pro...
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Article
Mining patterns of Chinese medicinal prescription for diabetes mellitus based on therapeutic effect
Traditional Chinese medicine (TCM) prescription comprises groups of Chinese herbs that embody thousands of years of history with respect to the treatment of diabetes mellitus (DM), a condition for which there ...
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Article
Non-negative Matrix Factorization with Symmetric Manifold Regularization
Non-negative matrix factorization (NMF) is becoming an important tool for information retrieval and pattern recognition. However, in the applications of image decomposition, it is not enough to discover the in...
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Article
A fluorescent probe for colorimetric detection of bisulfite and application in sugar and red wine
A new fluorescent probe made from (E)-2-(benzo[d]thiazol-2-yl)-3-(6-hydroxynaphthalen-2-yl) acrylonitrile (Probe 1) was synthesized for the determination of bisulfite concentrations in real food samples (red wine...
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Article
Attribute weights-based clustering centres algorithm for initialising K-modes clustering
The K-modes algorithm based on partitional clustering technology is a very popular and effective clustering method; moreover, it handles categorical data. However, the performance of the K-modes method is larg...
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Article
A Highly Selective and Colorimetric Fluorescent Probe for Hydrazine Detection in Water Samples
A new highly selective and visible colorimetric fluorescent probe (probe 1) was developed to detect hydrazine (N2H4) concentration in real water samples. As different concentrations of N2H4 were added, the color ...
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Article
Effect of Partial Substitutes of NaCl on the Cold-Set Gelation of Grass Carp Myofibrillar Protein Mediated by Microbial Transglutaminase
The objectives of this study were to investigate the changes and the relationship between structure and physiochemical properties of low sodium salt substitutes (NaCl partially replaced by KCl, CaCl2, and MgCl2) ...
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Article
Ensemble biclustering gene expression data based on the spectral clustering
Many biclustering algorithms and bicluster criteria have been proposed in analyzing the gene expression data. However, there are no clues about the choice of a specific biclustering algorithm, which make ensem...
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Article
A Novel Fluorescent Probe for Detecting Hydrogen Sulfide in Wine
Hydrogen sulfide (H2S) has recently been recognized as the third endogenous gaseous signaling molecule besides NO and CO. At the same time, H2S is responsible for an important proportion of faulty wines with pote...
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Article
A Fluorescent Probe for Sensitive Detection of Hydrazine and Its Application in Red Wine and Water
A fluorescent probe, 7-(diethylamino)-2-oxo-2H-chromene-4-carbaldehyde (probe 1), was designed and synthesized for the sensitive detection of hydrazine. The addition of N2H4 caused the fluorescence intensity of p...
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Article
Open AccessSelective catalytic dehydration of furfuryl alcohol to 2, 2′-difurfuryl ether using a polyoxometalate catalyst
The spice flavour compound 2, 2′-difurfuryl ether (DFE) is widely utilised in the food industry as it has a coffee-like, nutty, earthy, mushroom-like odour. However, despite intensive research efforts, to date...