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  • Hindawi Limited  (10)
  • 1
    Online Resource
    Online Resource
    Correlation between Galectin-3 and Adverse Outcomes in Myocardial Infarction Patients: A Meta-Analysis
    Hindawi Limited ; 2020
    In:  Cardiology Research and Practice Vol. 2020 ( 2020-05-07), p. 1-7
    Details
    In: Cardiology Research and Practice, Hindawi Limited, Vol. 2020 ( 2020-05-07), p. 1-7
    Abstract: Background . Acute myocardial infarction (AMI) is a disease with high morbidity and mortality. Some new biomarkers can help us to improve the life quality and prognosis of AMI patients. Objective . We therefore performed a systematic review and meta-analysis on the use of galectin-3 (gal3) for assessing prognosis of AMI patients. Methods . We searched Medline, Embase, Web of Science, Cochrane Library, SinoMed, China National Knowledge Infrastructure (CNKI), and Wanfang database up to June 2019. Trials included using galectin-3 to estimate prognosis in myocardial infarction (MI) patients. Results . We identified 10 trails with a total of 2809 participants. The negative correlation between galectin-3 and left ventricular ejection fraction (LVEF) was significant in 505 AMI patients (Fisher's Z −0.22, 95% CI: −0.34, −0.09). The correlation between galectin-3 and infarct size was not significant in 119 patients (Fisher's Z 0.12, 95% CI: −0.36, 0.60). Higher galectin-3 was associated with increased all-cause mortality in 2343 AMI patients (Fisher's Z 1.58, 95% CI: 1.23, 2.03). Conclusion . The limited evidence suggests that galectin-3 is likely to predict the adverse outcomes in MI patients, but it is not significantly correlated with infarct size after MI. More high-quality trials with longer-term follow-up are still needed to confirm this finding.
    Type of Medium: Online Resource
    ISSN: 2090-8016 , 2090-0597
    URL: Article
    DOI: 10.1155/2020/7614327
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2506187-2
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  • 2
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    Online Resource
    Balloon Deflation Strategy during Primary Percutaneous Coronary Intervention in Acute ST-Segment Elevation Myocardial Infarction: A Randomized Controlled Clinical Trial and Numerical Simulation-Based Analysis
    Hindawi Limited ; 2020
    In:  Cardiology Research and Practice Vol. 2020 ( 2020-09-07), p. 1-10
    Details
    In: Cardiology Research and Practice, Hindawi Limited, Vol. 2020 ( 2020-09-07), p. 1-10
    Abstract: Background . Primary percutaneous coronary intervention (PCI) is the best available reperfusion strategy in patients with acute ST-segment elevation myocardial infarction (STEMI). However, PCI is associated with a serious problem known as no-reflow phenomenon, resulting in poor clinical and functional outcomes. This study aimed to compare the influences of different balloon deflation velocity on coronary flow and cardiovascular events during primary PCI in STEM as well as transient hemodynamic changes in in vitro experiments. Method and Results . 211 STEMI patients were randomly assigned to either a rapid or a slow balloon deflation group during stent deployment. The primary end point was coronary flow at the end of PCI procedure, and secondary end points included myocardial infarct size. Transient hemodynamic changes were evaluated through an in vitro experimental apparatus and a computer model. In clinical practice, the level of corrected TIMI frame count (cTFC) in slow balloon deflation after primary PCI was significantly lower than that of rapid balloon deflation, which was associated with smaller infarct size. Numerical simulations revealed that the rapid deflation led to a sharp acceleration of flow in the balloon-vessel gap and a concomitant abnormal rise in wall shear stress (WSS). Conclusion . This randomized study demonstrated that the slow balloon deflation during stent implantation improved coronary flow and reduced infarct size in reperfused STEMI. The change of flow in the balloon-vessel gap and WSS resulted from different balloon deflation velocity might be partly accounted for this results.
    Type of Medium: Online Resource
    ISSN: 2090-8016 , 2090-0597
    URL: Article
    DOI: 10.1155/2020/4826073
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2506187-2
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  • 3
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    Online Resource
    Selective methanation of carbonate@carbon composite formed by the reaction of carbon dioxide with alkali metals
    Hindawi Limited ; 2021
    In:  International Journal of Energy Research Vol. 45, No. 2 ( 2021-02), p. 3385-3396
    Details
    In: International Journal of Energy Research, Hindawi Limited, Vol. 45, No. 2 ( 2021-02), p. 3385-3396
    Type of Medium: Online Resource
    ISSN: 0363-907X , 1099-114X
    URL: Issue
    URL: Article
    DOI: 10.1002/er.v45.2
    DOI: 10.1002/er.5977
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 1480879-1
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  • 4
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    Detection of Pulmonary Nodules in CT Images Based on Fuzzy Integrated Active Contour Model and Hybrid Parametric Mixture Model
    Hindawi Limited ; 2013
    In:  Computational and Mathematical Methods in Medicine Vol. 2013 ( 2013), p. 1-15
    Details
    In: Computational and Mathematical Methods in Medicine, Hindawi Limited, Vol. 2013 ( 2013), p. 1-15
    Abstract: The segmentation and detection of various types of nodules in a Computer-aided detection (CAD) system present various challenges, especially when (1) the nodule is connected to a vessel and they have very similar intensities; (2) the nodule with ground-glass opacity (GGO) characteristic possesses typical weak edges and intensity inhomogeneity, and hence it is difficult to define the boundaries. Traditional segmentation methods may cause problems of boundary leakage and “weak” local minima. This paper deals with the above mentioned problems. An improved detection method which combines a fuzzy integrated active contour model (FIACM)-based segmentation method, a segmentation refinement method based on Parametric Mixture Model (PMM) of juxta-vascular nodules, and a knowledge-based C-SVM (Cost-sensitive Support Vector Machines) classifier, is proposed for detecting various types of pulmonary nodules in computerized tomography (CT) images. Our approach has several novel aspects: (1) In the proposed FIACM model, edge and local region information is incorporated. The fuzzy energy is used as the motivation power for the evolution of the active contour. (2) A hybrid PMM Model of juxta-vascular nodules combining appearance and geometric information is constructed for segmentation refinement of juxta-vascular nodules. Experimental results of detection for pulmonary nodules show desirable performances of the proposed method.
    Type of Medium: Online Resource
    ISSN: 1748-670X , 1748-6718
    URL: Article
    DOI: 10.1155/2013/515386
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2013
    detail.hit.zdb_id: 2256917-0
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  • 5
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    Wearable Sensor-Based Human Activity Recognition Using Hybrid Deep Learning Techniques
    Hindawi Limited ; 2020
    In:  Security and Communication Networks Vol. 2020 ( 2020-07-27), p. 1-12
    Details
    In: Security and Communication Networks, Hindawi Limited, Vol. 2020 ( 2020-07-27), p. 1-12
    Abstract: Human activity recognition (HAR) can be exploited to great benefits in many applications, including elder care, health care, rehabilitation, entertainment, and monitoring. Many existing techniques, such as deep learning, have been developed for specific activity recognition, but little for the recognition of the transitions between activities. This work proposes a deep learning based scheme that can recognize both specific activities and the transitions between two different activities of short duration and low frequency for health care applications. In this work, we first build a deep convolutional neural network (CNN) for extracting features from the data collected by sensors. Then, the long short-term memory (LTSM) network is used to capture long-term dependencies between two actions to further improve the HAR identification rate. By combing CNN and LSTM, a wearable sensor based model is proposed that can accurately recognize activities and their transitions. The experimental results show that the proposed approach can help improve the recognition rate up to 95.87% and the recognition rate for transitions higher than 80%, which are better than those of most existing similar models over the open HAPT dataset.
    Type of Medium: Online Resource
    ISSN: 1939-0114 , 1939-0122
    URL: Article
    DOI: 10.1155/2020/2132138
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2415104-X
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  • 6
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    Outcomes of redo‐isolated tricuspid valve surgery after left‐sided valve surgery
    Hindawi Limited ; 2021
    In:  Journal of Cardiac Surgery Vol. 36, No. 9 ( 2021-09), p. 3060-3069
    Details
    In: Journal of Cardiac Surgery, Hindawi Limited, Vol. 36, No. 9 ( 2021-09), p. 3060-3069
    Type of Medium: Online Resource
    ISSN: 0886-0440 , 1540-8191
    URL: Issue
    URL: Article
    DOI: 10.1111/jocs.v36.9
    DOI: 10.1111/jocs.15694
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2108425-7
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  • 7
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    Impact of short-term climate effects and sea ice coverage variation on Japanese scallop aquaculture in Saroma Lake, Japan
    Hindawi Limited ; 2018
    In:  Aquaculture Research Vol. 49, No. 5 ( 2018-05), p. 1752-1767
    Details
    In: Aquaculture Research, Hindawi Limited, Vol. 49, No. 5 ( 2018-05), p. 1752-1767
    Type of Medium: Online Resource
    ISSN: 1355-557X
    URL: Article
    DOI: 10.1111/are.13630
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2018
    detail.hit.zdb_id: 1227359-4
    detail.hit.zdb_id: 2019895-4
    SSG: 21,3
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  • 8
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    Structural Damage Detection by Using Single Natural Frequency and the Corresponding Mode Shape
    Hindawi Limited ; 2016
    In:  Shock and Vibration Vol. 2016 ( 2016), p. 1-8
    Details
    In: Shock and Vibration, Hindawi Limited, Vol. 2016 ( 2016), p. 1-8
    Abstract: Damage can be identified using generalized flexibility matrix based methods, by using the first natural frequency and the corresponding mode shape. However, the first mode is not always appropriate to be used in damage detection. The contact interface of rod-fastened-rotor may be partially separated under bending moment which decreases the flexural stiffness of the rotor. The bending moment on the interface varies as rotating speed changes, so that the first- and second-modal parameters obtained are corresponding to different damage scenarios. In this paper, a structural damage detection method requiring single nonfirst mode is proposed. Firstly, the system is updated via restricting the first few mode shapes. The mass matrix, stiffness matrix, and modal parameters of the updated system are derived. Then, the generalized flexibility matrix of the updated system is obtained, and its changes and sensitivity to damage are derived. The changes and sensitivity are used to calculate the location and severity of damage. Finally, this method is tested through numerical means on a cantilever beam and a rod-fastened-rotor with different damage scenarios when only the second mode is available. The results indicate that the proposed method can effectively identify single, double, and multiple damage using single nonfirst mode.
    Type of Medium: Online Resource
    ISSN: 1070-9622 , 1875-9203
    URL: Article
    DOI: 10.1155/2016/8194549
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2016
    detail.hit.zdb_id: 2070162-7
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  • 9
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    Prognostic Value of GIMAP4 and Its Role in Promoting Immune Cell Infiltration into Tumor Microenvironment of Lung Adenocarcinoma
    Hindawi Limited ; 2022
    In:  BioMed Research International Vol. 2022 ( 2022-10-6), p. 1-21
    Details
    In: BioMed Research International, Hindawi Limited, Vol. 2022 ( 2022-10-6), p. 1-21
    Abstract: GIMAPs are recognized as an important regulator in the carcinogenesis and development of lung cancer, but the function of GIMAP4 in the tumor microenvironment (TME) of lung cancers is unclear. In this study, we investigated the expression and variation of GIMAP4 in lung adenocarcinoma (LUAD), to explore its association with infiltration of immune cells. The Cancer Genome Atlas (TCGA) data and Gene Expression Omnibus (GEO) data were analyzed. Infiltration of immune cells was identified with TIMER (Tumor Immune Estimation Resource) and TISIDB (an integrated repository portal for tumor-immune system interactions). GIMAP4 expression declined in non-small-cell lung cancer (NSCLC), correlated with a poor overall survival (OS) in LUAD, indicating that GIMAP4 was a promising prognostic biomarker in LUAD. GIMAP4 mutation frequency was 1.76% in TCGA cohort and was relevant to the expression of immune components. TIMER and CIBERSORT analysis further confirmed that high GIMAP4 expression possibly promoted immune cell infiltration into the TME, with low GIMAP4 impairing the efficacy of immunotherapies targeting common immune check point inhibitors (ICI). GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) analyses were performed to provide insights into biological processes involved in LUAD. GIMAP4 was expected to be a prognostic biomarker in LUAD and provides potential adjuvant or neoadjuvant therapeutic strategies for targeting ICIs.
    Type of Medium: Online Resource
    ISSN: 2314-6141 , 2314-6133
    URL: Article
    DOI: 10.1155/2022/7440189
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2698540-8
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  • 10
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    Analysis of Serum MicroRNAs as Potential Biomarker in Coronary Bifurcation Lesion
    Hindawi Limited ; 2015
    In:  Disease Markers Vol. 2015 ( 2015), p. 1-5
    Details
    In: Disease Markers, Hindawi Limited, Vol. 2015 ( 2015), p. 1-5
    Abstract: Recent evidence suggests that cell-derived circulating miRNAs may serve as the biomarkers of cardiovascular diseases. However, no study has investigated the potential of circulating miRNAs as biomarker for coronary bifurcation lesion. In this study, we aimed to characterize the miRNA profiles that could distinguish coronary bifurcation lesion and identify potential miRNAs as biomarkers of coronary bifurcation lesion. We employed miRNA microarray to screen serum miRNAs profiles of patients with coronary bifurcation lesion and coronary nonbifurcation lesions. We identified 197 miRNAs differentially expressed, including 150 miRNAs upregulated and 47 miRNAs downregulated. We chose 3 miRNAs with significant differences for further testing in 200 patients. RT-PCR analysis of serum samples confirmed that miR30d was upregulated and miR1246 was downregulated in the serum of coronary bifurcation lesion patients compared with nonbifurcation lesion patients. Our findings suggest that these miRNAs may have a role in the pathogenesis of coronary bifurcation lesion and may represent novel biomarkers for the diagnosis and prognosis of coronary bifurcation lesion.
    Type of Medium: Online Resource
    ISSN: 0278-0240 , 1875-8630
    URL: Article
    DOI: 10.1155/2015/351015
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2015
    detail.hit.zdb_id: 2033253-1
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