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  • Hindawi Limited  (46)
  • Wang, Peng  (46)
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  • Hindawi Limited  (46)
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  • 1
    Online Resource
    Online Resource
    A Computational Drug-Target Network for Yuanhu Zhitong Prescription
    Hindawi Limited ; 2013
    In:  Evidence-Based Complementary and Alternative Medicine Vol. 2013 ( 2013), p. 1-15
    Details
    In: Evidence-Based Complementary and Alternative Medicine, Hindawi Limited, Vol. 2013 ( 2013), p. 1-15
    Abstract: Yuanhu Zhitong prescription (YZP) is a typical and relatively simple traditional Chinese medicine (TCM), widely used in the clinical treatment of headache, gastralgia, and dysmenorrhea. However, the underlying molecular mechanism of action of YZP is not clear. In this study, based on the previous chemical and metabolite analysis, a complex approach including the prediction of the structure of metabolite, high-throughput in silico screening, and network reconstruction and analysis was developed to obtain a computational drug-target network for YZP. This was followed by a functional and pathway analysis by ClueGO to determine some of the pharmacologic activities. Further, two new pharmacologic actions, antidepressant and antianxiety, of YZP were validated by animal experiments using zebrafish and mice models. The forced swimming test and the tail suspension test demonstrated that YZP at the doses of 4 mg/kg and 8 mg/kg had better antidepressive activity when compared with the control group. The anxiolytic activity experiment showed that YZP at the doses of 100 mg/L, 150 mg/L, and 200 mg/L had significant decrease in diving compared to controls. These results not only shed light on the better understanding of the molecular mechanisms of YZP for curing diseases, but also provide some evidence for exploring the classic TCM formulas for new clinical application.
    Type of Medium: Online Resource
    ISSN: 1741-427X , 1741-4288
    URL: Article
    DOI: 10.1155/2013/658531
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2013
    detail.hit.zdb_id: 2148302-4
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  • 2
    Online Resource
    Online Resource
    Digital Twin-Enabled Online Battlefield Learning with Random Finite Sets
    Hindawi Limited ; 2021
    In:  Computational Intelligence and Neuroscience Vol. 2021 ( 2021-5-13), p. 1-15
    Details
    In: Computational Intelligence and Neuroscience, Hindawi Limited, Vol. 2021 ( 2021-5-13), p. 1-15
    Abstract: The digital twin is becoming the most promising emerging technology in the field of unmanned combat and has the potential to innovate future combat styles. Online battlefield learning is one of the key technologies for supporting the successful application of digital twin in unmanned combat. Since there is an urgent need for effective algorithms for online learning the battlefield states in real time, a new random finite set- (RFS-) based algorithm is proposed in the presence of detection uncertainty including clutters, missed detection, and noises. The system architecture and operational mode for implementing the digital twin-enabled online battlefield learning are provided. The unmanned ground vehicle (UGV) is employed as the experimental subject for systematically describing the proposed algorithm. The system architecture for implementing the digital twin-enabled online battlefield learning is firstly given, and its operational mode is also described in detail. The RFS-based digital twin models including the battlefield state model, UGV motion model, and sensor model are designed. The Bayesian inference is adopted, and the probability hypothesis density (PHD) filter is modified to implement the online learning process. At last, a group of experiments are conducted to verify the performance and effectiveness of the proposed algorithm. The research work in this paper will provide a good demonstration of the application of digital twin in unmanned combat.
    Type of Medium: Online Resource
    ISSN: 1687-5273 , 1687-5265
    URL: Article
    DOI: 10.1155/2021/5582241
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2388208-6
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  • 3
    Online Resource
    Online Resource
    Antifungal Treatment Aggravates Sepsis through the Elimination of Intestinal Fungi
    Hindawi Limited ; 2021
    In:  Oxidative Medicine and Cellular Longevity Vol. 2021 ( 2021-10-18), p. 1-12
    Details
    In: Oxidative Medicine and Cellular Longevity, Hindawi Limited, Vol. 2021 ( 2021-10-18), p. 1-12
    Abstract: Prophylactic antifungal therapy is widely adopted clinically for critical patients and effective in reducing the morbidity of invasive fungal infection and improves outcomes of those diagnosed patients; however, it is not associated with higher overall survival. As intestinal commensal fungi play a fundamental role in the host immune response in health and disease, we propose that antifungal therapy may eliminate intestinal fungi and aggravate another critical syndrome, sepsis. Here, with murine sepsis model, we found that antifungal therapy with fluconazole dismissed intestinal fungal burden and aggravated endotoxin-induced but no gram-positive bacteria-induced sepsis. Nevertheless, antifungal therapy did not exert its detrimental effect on germ-free mice. Moreover, colonizing more commensal fungi in the mouse intestine or administration of fungal cell wall component mannan protected the mice from endotoxin-induced sepsis. On the molecular level, we demonstrated that antifungal therapy aggravated endotoxin sepsis through promoting Gasdermin D cleavage in the distal small intestine. Intestinal colonization with commensal fungi inhibited Gasdermin D cleavage in response to lipopolysaccharide challenge. These findings show that intestinal fungi inhibit Gasdermin D-mediated pyroptosis and protect the mice from endotoxin-induced sepsis. This study demonstrates the protective role of intestinal fungi in the pathogenesis of endotoxin-induced sepsis in the laboratory. It will undoubtedly prompt us to study the relationship between antifungal therapy and sepsis in critical patients who are susceptible to endotoxin-induced sepsis in the future.
    Type of Medium: Online Resource
    ISSN: 1942-0994 , 1942-0900
    URL: Article
    DOI: 10.1155/2021/2796700
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2455981-7
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  • 4
    Online Resource
    Online Resource
    Multiobjective Model for Microgrids Integrating Electric Vehicles to Grid and Building Based on Interest Balance
    Hindawi Limited ; 2022
    In:  Mathematical Problems in Engineering Vol. 2022 ( 2022-12-27), p. 1-18
    Details
    In: Mathematical Problems in Engineering, Hindawi Limited, Vol. 2022 ( 2022-12-27), p. 1-18
    Abstract: Microgrids allow energy exchange among multiple interconnected microgrids for greater energy efficiency and collective economic interest. However, in some cases, the benefit of some microgrids within the network may not be uncertain. In view of the increasing development of electric vehicles (EVs), a multiobjective model is proposed to improve the performance of microgrids by integrating electric vehicles-to-grid (V2G) and vehicles-to-building (V2B) based on global and individual benefit balance. Two reference models are built to verify the validity of the proposed method, and models are formulated as mixed integer linear programming formats solved by the weighting method. A set of parameters of microgrids are adopted to model the driver behaviors (e.g., available hours of EV), energy transactions (e.g., electricity), performance factor (e.g., emission factor), distributed energy (e.g., solar panel), and energy load of five commercial buildings (e.g., hotel) located in Shanghai. Simulation results demonstrate the effectiveness of the operation decision models in the energy management of microgrids under neutral, proeconomic, proenvironmental, and proenergy weighting scenarios. The case study results specify that the proposed method can achieve operational cost, CO2 emission, and primary energy consumption reductions for each microgrid, with total benefits declining slightly.
    Type of Medium: Online Resource
    ISSN: 1563-5147 , 1024-123X
    URL: Article
    DOI: 10.1155/2022/4578868
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2014442-8
    SSG: 11
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  • 5
    Online Resource
    Online Resource
    Tianma Formula Alleviates Dementia via ACER2-Mediated Sphingolipid Signaling Pathway Involving Aβ
    Hindawi Limited ; 2021
    In:  Evidence-Based Complementary and Alternative Medicine Vol. 2021 ( 2021-8-4), p. 1-20
    Details
    In: Evidence-Based Complementary and Alternative Medicine, Hindawi Limited, Vol. 2021 ( 2021-8-4), p. 1-20
    Abstract: Objective. To reveal the molecular mechanism of the antagonistic effect of traditional Chinese medicine Tianma formula (TF) on dementia including vascular dementia (VaD) and Alzheimer’s disease (AD) and to provide a scientific basis for the study of traditional Chinese medicine for prevention and treatment of dementia. Method. The TF was derived from the concerted application of traditional Chinese medicine. We detected the pharmacological effect of TF in VaD rats. The molecular mechanism of TF was examined by APP/PS1 mice in vivo, Caenorhabditis elegans (C. elegans) in vitro, ELISA, pathological assay via HE staining, and transcriptome. Based on RNA-seq analysis in VaD rats, the differentially expressed genes (DEGs) were identified and then verified by quantitative PCR (qPCR) and ELISA. The molecular mechanisms of TF on dementia were further confirmed by network pharmacology and molecular docking finally. Results. The Morris water maze showed that TF could improve the cognitive memory function of the VaD rats. The ELISA and histological analysis suggested that TF could protect the hippocampus via reducing tau and IL-6 levels and increasing SYN expression. Meanwhile, it could protect the neurological function by alleviating Aβ deposition in APP/PS1 mice and C. elegans. In the RNA-seq analysis, 3 sphingolipid metabolism pathway-related genes, ADORA3, FCER1G, and ACER2, and another 5 nerve-related genes in 45 key DEGs were identified, so it indicated that the protection mechanism of TF was mainly associated with the sphingolipid metabolism pathway. In the qPCR assay, compared with the model group, the mRNA expressions of the 8 genes mentioned above were upregulated, and these results were consistent with RNA-seq. The protein and mRNA levels of ACER2 were also upregulated. Also, the results of network pharmacology analysis and molecular docking were consistent with those of RNA-seq analysis. Conclusion. TF alleviates dementia by reducing Aβ deposition via the ACER2-mediated sphingolipid signaling pathway.
    Type of Medium: Online Resource
    ISSN: 1741-4288 , 1741-427X
    URL: Article
    DOI: 10.1155/2021/6029237
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2148302-4
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  • 6
    Online Resource
    Online Resource
    Protective Effects of Scutellarin on Human Cardiac Microvascular Endothelial Cells against Hypoxia-Reoxygenation Injury and Its Possible Target-Related Proteins
    Hindawi Limited ; 2015
    In:  Evidence-Based Complementary and Alternative Medicine Vol. 2015 ( 2015), p. 1-13
    Details
    In: Evidence-Based Complementary and Alternative Medicine, Hindawi Limited, Vol. 2015 ( 2015), p. 1-13
    Abstract: Scutellarin (SCU) is one of the main components of traditional Chinese medicine plant Erigeron breviscapus (Vant.) Hand.-Mazz. In this paper, we studied the protective effects of SCU on human cardiac microvascular endothelial cells (HCMECs) against hypoxia-reoxygenation (HR) injury and its possible target-related proteins. Results of MTT assay showed that pretreatment of SCU at doses of 1, 5, and 10  μ M for 2 h could significantly inhibit the decrease in cell viability of HCMECs induced by HR injury. Subcellular fractions of cells treated with vehicle control, 1  μ M SCU, HR injury, or 1  μ M SCU + HR injury were separated by ultracentrifugation. The protein expression profiles of cytoplasm and membrane/nuclei fractions were checked using protein two-dimensional electrophoresis (2-DE). Proteins differentially expressed between control and SCU-treated group, control and HR group, or HR and SCU + HR group were identified using mass spectrometry (MS/MS). Possible interaction network of these target-related proteins was predicted using bioinformatic analysis. The influence of SCU on the expression levels of these proteins was confirmed using Western blotting assay. The results indicated that proteins such as p27BBP protein (EIF6), heat shock 60 kDa protein 1 (HSPD1), and chaperonin containing TCP1 subunit 6A isoform (CCT6A) might play important roles in the effects of SCU.
    Type of Medium: Online Resource
    ISSN: 1741-427X , 1741-4288
    URL: Article
    DOI: 10.1155/2015/278014
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2015
    detail.hit.zdb_id: 2148302-4
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  • 7
    Online Resource
    Online Resource
    A New Method Based on TOPSIS and Response Surface Method for MCDM Problems with Interval Numbers
    Hindawi Limited ; 2015
    In:  Mathematical Problems in Engineering Vol. 2015 ( 2015), p. 1-11
    Details
    In: Mathematical Problems in Engineering, Hindawi Limited, Vol. 2015 ( 2015), p. 1-11
    Abstract: As the preference of design maker (DM) is always ambiguous, we have to face many multiple criteria decision-making (MCDM) problems with interval numbers in our daily life. Though there have been some methods applied to solve this sort of problem, it is always complex to comprehend and sometimes difficult to implement. The calculation processes are always ineffective when a new alternative is added or removed. In view of the weakness like this, this paper presents a new method based on TOPSIS and response surface method (RSM) for MCDM problems with interval numbers, RSM-TOPSIS-IN for short. The key point of this approach is the application of deviation degree matrix, which ensures that the DM can get a simple response surface (RS) model to rank the alternatives. In order to demonstrate the feasibility and effectiveness of the proposed method, three illustrative MCMD problems with interval numbers are analysed, including (a) selection of investment program, (b) selection of a right partner, and (c) assessment of road transport technologies. The contrast of ranking results shows that the RSM-TOPSIS-IN method is in good agreement with those derived by earlier researchers, indicating it is suitable to solve MCDM problems with interval numbers.
    Type of Medium: Online Resource
    ISSN: 1024-123X , 1563-5147
    URL: Article
    DOI: 10.1155/2015/938535
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2015
    detail.hit.zdb_id: 2014442-8
    SSG: 11
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  • 8
    Online Resource
    Online Resource
    Shock Signal Trend Term Error Correction Method Based on Discrete Wavelet Transform and Low-Frequency Oscillator Combination
    Hindawi Limited ; 2021
    In:  Shock and Vibration Vol. 2021 ( 2021-7-26), p. 1-11
    Details
    In: Shock and Vibration, Hindawi Limited, Vol. 2021 ( 2021-7-26), p. 1-11
    Abstract: Shock response spectrum (SRS), calculated according to shock loading signal, is the primary metric for assessing the shock resistance ability of shipborne equipment. Nevertheless, the measured shock acceleration signal contains a trend term error that severely distorts the low frequency of the SRS. The accuracy of present correction methods cannot be assured due to a lack of reference. A discrete wavelet transform (DWT) and low-frequency oscillator combination method is proposed for correcting shock signals in this paper. The optimal wavelet parameters can be selected according to a low-frequency spectrum baseline fitted by the measured relative displacement to reject low-frequency trend term errors. Shock machine test results show that the average difference between the low-frequency spectrum baseline and uncorrected SRS is reduced from 89.8% to 3.2%, while the SRS slope rolled off to 5.8 dB/oct after imposing the proposed correction. The corrected SRS can faithfully show the actual shock loading characteristics of shipborne equipment in shock tests.
    Type of Medium: Online Resource
    ISSN: 1875-9203 , 1070-9622
    URL: Article
    DOI: 10.1155/2021/9939547
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2070162-7
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  • 9
    Online Resource
    Online Resource
    α 2-HS Glycoprotein in Plasma Extracellular Vesicles Inhibits the Osteogenic Differentiation of Human Mesenchymal Stromal Cells In Vitro
    Hindawi Limited ; 2019
    In:  Stem Cells International Vol. 2019 ( 2019-02-07), p. 1-13
    Details
    In: Stem Cells International, Hindawi Limited, Vol. 2019 ( 2019-02-07), p. 1-13
    Abstract: Extracellular vesicles (Evs) contain diverse functional proteins, mRNAs, miRNAs, and DNA fragments, are secreted by various types of cells, and play important roles in cellular communication. Here, we show for the first time that plasma Evs inhibited the osteogenic differentiation of mesenchymal stromal cells (MSCs) in vitro and the level of inhibition was positively correlated with the plasma Evs concentration. Plasma Evs downregulated the expression of markers such as osteocalcin (OCN), Runt-related transcription factor 2 (Runx2), and Osterix at mRNA levels required for osteogenic differentiation and reduced pSmad1/5/8 levels in MSCs. Furthermore, pSmad1/5/8 levels increased and MSCs underwent normal osteogenic differentiation after Evs-derived α 2-HS glycoprotein (AHSG) function was inhibited with an anti-AHSG neutralizing antibody. However, the levels of pERK1/2, active β -catenin, and HES1 were not significantly altered. Therefore, we propose that as essential components of the extracellular microenvironment of MSCs, plasma Evs are taken up by MSCs and subsequently repress osteogenic differentiation through an AHSG-mediated decrease in pSmad1/5/8 levels. Our work identifies plasma Evs as novel regulators of MSC osteogenic differentiation.
    Type of Medium: Online Resource
    ISSN: 1687-966X , 1687-9678
    URL: Article
    DOI: 10.1155/2019/7246479
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2019
    detail.hit.zdb_id: 2573856-2
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  • 10
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    Online Resource
    Mediating Effect of Motor Competence on the Relationship between Physical Activity and Quality of Life in Children with Attention Deficit Hyperactivity Disorder
    Hindawi Limited ; 2021
    In:  BioMed Research International Vol. 2021 ( 2021-12-24), p. 1-12
    Details
    In: BioMed Research International, Hindawi Limited, Vol. 2021 ( 2021-12-24), p. 1-12
    Abstract: This study examined the mediating role of motor competence in the association between physical activity (PA) and quality of life (QoL) and the moderating role of age in the indirect relationship between PA and QoL in children with ADHD. Eighty-six children aged 6-12 years old ( M   age = 8.45 , SD = 1.40 , 17.4% girls) with the diagnosis of ADHD were recruited in this study. Participants wore a wGT3X-BT accelerometer on their wrist for seven consecutive days to measure PA. Motor competence was measured by the Test of Gross Motor Development-Third Edition (TGMD-3). Quality of life (QoL) was assessed by the parent-reported Chinese version of the Pediatric Quality of Life Inventory. MVPA was positively associated with object control skills but was not directly related to QoL. Using the bootstrapping method, the indirect effect of object control was found between MVPA and social functioning (0.10, 95 % CI = 0.01 , 0.21 ), school functioning (0.09, 95 % CI = 0.01 , 0.18 ), and overall QoL (0.07, 95 % CI = 0.01 , 0.16 ), supporting the full mediation effect. Moderated mediation analysis further revealed that age strengthened the indirect effect from MVPA to social and school functioning via object control. Findings of this study indicated that MVPA is positively associated with object control skills, which in turn, is related to psychological aspects of QoL in children with ADHD. Age was found to moderate the indirect mediation paths. The findings may inform future expeditions on designing an effective intervention that helps to improve MC and QoL in children with ADHD.
    Type of Medium: Online Resource
    ISSN: 2314-6141 , 2314-6133
    URL: Article
    DOI: 10.1155/2021/4814250
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2698540-8
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