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  • 1
    Online Resource
    Online Resource
    An application based on bioinformatics and machine learning for risk prediction of sepsis at first clinical presentation using transcriptomic data
    Frontiers Media SA ; 2022
    In:  Frontiers in Genetics Vol. 13 ( 2022-9-2)
    Details
    In: Frontiers in Genetics, Frontiers Media SA, Vol. 13 ( 2022-9-2)
    Abstract: Background: Linking genotypic changes to phenotypic traits based on machine learning methods has various challenges. In this study, we developed a workflow based on bioinformatics and machine learning methods using transcriptomic data for sepsis obtained at the first clinical presentation for predicting the risk of sepsis. By combining bioinformatics with machine learning methods, we have attempted to overcome current challenges in predicting disease risk using transcriptomic data. Methods: High-throughput sequencing transcriptomic data processing and gene annotation were performed using R software. Machine learning models were constructed, and model performance was evaluated by machine learning methods in Python. The models were visualized and interpreted using the Shapley Additive explanation (SHAP) method. Results: Based on the preset parameters and using recursive feature elimination implemented via machine learning, the top 10 optimal genes were screened for the establishment of the machine learning models. In a comparison of model performance, CatBoost was selected as the optimal model. We explored the significance of each gene in the model and the interaction between each gene through SHAP analysis. Conclusion: The combination of CatBoost and SHAP may serve as the best-performing machine learning model for predicting transcriptomic and sepsis risks. The workflow outlined may provide a new approach and direction in exploring the mechanisms associated with genes and sepsis risk.
    Type of Medium: Online Resource
    ISSN: 1664-8021
    URL: Article
    DOI: 10.3389/fgene.2022.979529
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2606823-0
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  • 2
    Online Resource
    Online Resource
    Gas Bubble Effects and Elimination in Ultrasonic Measurement of Particle Concentrations in Solid–Liquid Mixing Processes
    Institute of Electrical and Electronics Engineers (IEEE) ; 2017
    In:  IEEE Transactions on Instrumentation and Measurement Vol. 66, No. 7 ( 2017-7), p. 1711-1718
    Details
    In: IEEE Transactions on Instrumentation and Measurement, Institute of Electrical and Electronics Engineers (IEEE), Vol. 66, No. 7 ( 2017-7), p. 1711-1718
    Type of Medium: Online Resource
    ISSN: 0018-9456 , 1557-9662
    URL: Article
    DOI: 10.1109/TIM.2017.2670038
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2017
    detail.hit.zdb_id: 160442-9
    detail.hit.zdb_id: 2027532-8
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  • 3
    Online Resource
    Online Resource
    Canceling Intermodulation Products: A High-Efficiency and Linear-Asymmetric Doherty PA
    Institute of Electrical and Electronics Engineers (IEEE) ; 2019
    In:  IEEE Microwave Magazine Vol. 20, No. 1 ( 2019-1), p. 98-103
    Details
    In: IEEE Microwave Magazine, Institute of Electrical and Electronics Engineers (IEEE), Vol. 20, No. 1 ( 2019-1), p. 98-103
    Type of Medium: Online Resource
    ISSN: 1527-3342 , 1557-9581
    URL: Journal
    URL: Article
    DOI: 10.1109/MMW.6668
    DOI: 10.1109/MMM.2018.2875613
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2019
    detail.hit.zdb_id: 2007500-5
    detail.hit.zdb_id: 2039300-3
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  • 4
    Online Resource
    Online Resource
    Photoelectron spectra of shake-up processes from the 2p subshell of sodium atoms in the excited states 2p 6 3p
    IOP Publishing ; 2022
    In:  Journal of Physics B: Atomic, Molecular and Optical Physics Vol. 55, No. 12 ( 2022-06-15), p. 125001-
    Details
    In: Journal of Physics B: Atomic, Molecular and Optical Physics, IOP Publishing, Vol. 55, No. 12 ( 2022-06-15), p. 125001-
    Abstract: The 2 p photoionization of sodium atoms from the initial states 2 p 6 3 p 1/2,3/2 have been investigated, with special emphasis placed on the relaxation and correlation effects. To understand the details of the spectra, a series of ab initio calculations based on the multi-configuration Dirac–Fock method have been performed. Theoretical predictions have been compared with the high-resolution spectra measured using a synchrotron radiation source, and suitable agreement between experiment and theory has enabled the identification of fine-structure spectra. The prominent influence of the relaxation and correlation effects on the photoelectron spectra has been analysed according to the detailed calculations.
    Type of Medium: Online Resource
    ISSN: 0953-4075 , 1361-6455
    URL: Article
    DOI: 10.1088/1361-6455/abf6df
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2022
    detail.hit.zdb_id: 3111439-8
    detail.hit.zdb_id: 209218-9
    detail.hit.zdb_id: 1363381-8
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  • 5
    Online Resource
    Online Resource
    Porphyrin-Based All-Small-Molecule Organic Solar Cells With Absorption-Complementary Nonfullerene Acceptor
    Institute of Electrical and Electronics Engineers (IEEE) ; 2022
    In:  IEEE Journal of Photovoltaics Vol. 12, No. 1 ( 2022-1), p. 316-321
    Details
    In: IEEE Journal of Photovoltaics, Institute of Electrical and Electronics Engineers (IEEE), Vol. 12, No. 1 ( 2022-1), p. 316-321
    Type of Medium: Online Resource
    ISSN: 2156-3381 , 2156-3403
    URL: Article
    DOI: 10.1109/JPHOTOV.2021.3114597
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2022
    detail.hit.zdb_id: 2585714-9
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  • 6
    Online Resource
    Online Resource
    DataSheet1.docx
    Frontiers Media SA ; 2022
    In:  Frontiers in Molecular Biosciences Vol. 9 ( 2022-3-3)
    Details
    In: Frontiers in Molecular Biosciences, Frontiers Media SA, Vol. 9 ( 2022-3-3)
    Abstract: Gliomas account for 75% of all primary malignant brain tumors in adults and are associated with high mortality. Emerging evidence has demonstrated that baculoviral inhibitor of apoptosis repeat containing 5 ( BIRC5 ) plays a critical role in cell apoptosis and the progression of diverse cancers. However, no studies have yet focused on the immunological function and mechanisms of upstream BIRC5 regulation in the progression of low-grade gliomas (LGG). Here, we evaluated BIRC5 expression and clinical characteristics in people with LGG using the Chinese Glioma Genome Atlas, The Cancer Genome Atlas, Gene Expression Omnibus, Rembrandt, and Gravendeel databases. We used Kaplan–Meier statistics and receiver operating characteristic (ROC) curves to analyze the prognostic value of BIRC5 in LGG. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment terms were also explored to identify functional roles of BIRC5 . The Tumor Immune Estimation Resource (TIMER) and Tumor Immune System Interaction (TISIDB) databases were used to examine the correlation between BIRC5 expression and immune cell infiltration in LGG. The Genomics of Drug Sensitivity in Cancer (GDSC) and Cancer Therapeutics Response Portal (CTRP) databases were used to examine the potential drugs targeting BIRC5 . We used transwell and wound healing assays to determine the biological functions of BIRC5 in glioma cell migration. Our results demonstrated that BIRC5 was highly expressed in LGG and the expression level correlated with tumor grade, prognosis, histological subtype, isocitrate dehydrogenase 1 ( IDH1 ) mutation, 1p/19q chromosomal co-deletion, chemotherapy status, and O[6]-methylguanine-DNA methyltransferase (MGMT) promoter methylation status. GO and KEGG analysis showed that BIRC5 is primarily involved in cell proliferation and immune response-related signaling pathways. We also found that BIRC5 was significantly correlated with m6A modification and diverse drug sensitivity. TIMER and TISIDB database analysis showed that BIRC5 expression is associated with infiltration of diverse immune cells and immune modulation in LGG. BIRC5 knockdown inhibited LGG cell migration. Collectively, our results demonstrate that BIRC5 is correlated with cell migration and immune infiltration in LGG and may be a useful prognostic biomarker.
    Type of Medium: Online Resource
    ISSN: 2296-889X
    URL: Article
    URL: Article
    DOI: 10.3389/fmolb.2022.773662
    DOI: 10.3389/fmolb.2022.773662.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2814330-9
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  • 7
    Online Resource
    Online Resource
    Scale-Aware Squeeze-and-Excitation for Lightweight Object Detection
    Institute of Electrical and Electronics Engineers (IEEE) ; 2023
    In:  IEEE Robotics and Automation Letters Vol. 8, No. 1 ( 2023-1), p. 49-56
    Details
    In: IEEE Robotics and Automation Letters, Institute of Electrical and Electronics Engineers (IEEE), Vol. 8, No. 1 ( 2023-1), p. 49-56
    Type of Medium: Online Resource
    ISSN: 2377-3766 , 2377-3774
    URL: Article
    DOI: 10.1109/LRA.2022.3222957
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2023
    detail.hit.zdb_id: 2844561-2
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  • 8
    Online Resource
    Online Resource
    Reservoir Parameters Estimation with Some Log Curves of Qiongdongnan Basin Based on LS-SVM Method
    IOP Publishing ; 2021
    In:  Journal of Physics: Conference Series Vol. 2092, No. 1 ( 2021-12-01), p. 012024-
    Details
    In: Journal of Physics: Conference Series, IOP Publishing, Vol. 2092, No. 1 ( 2021-12-01), p. 012024-
    Abstract: Reservoir porosity and permeability are considered as very important parameters in characterizing oil and gas reservoirs. Traditional methods for porosity and permeability prediction are well log and core data analysis to get some regression empirical formulas. However, because of strong non-linear relationship between well log data and core data such as porosity and permeability, usual statistical regression methods are not completely able to provide meaningful estimate results. It is very difficult to measure fine scale porosity and permeability parameters of the reservoir. In this paper, the least square support vector machine (LS-SVM) method is applied to the parameters estimation with well log and core data of Qiongdongnan basin reservoirs. With the log and core exploration data of Qiongdongnan basin, the approach and prediction models of porosity and permeability are constructed and applied. There are several type of log data for the determination of porosity and permeability. These parameters are related with the selected log data. However, a precise analysis and determine of parameters require a combinatorial selection method for different type data. Some curves such as RHOB,CALI,POTA,THOR,GR are selected from all obtained logging curves of a Qiongdongnan basin well to predict porosity. At last we give some permeability prediction results based on LS-SVM method. High precision practice results illustrate the efficiency of LS-SVM method for practical reservoir parameter estimation problems.
    Type of Medium: Online Resource
    ISSN: 1742-6588 , 1742-6596
    URL: Article
    DOI: 10.1088/1742-6596/2092/1/012024
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2021
    detail.hit.zdb_id: 2166409-2
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  • 9
    Online Resource
    Online Resource
    High-Efficiency Power Amplifier Employing Minimum-Power Harmonic Active Load Modulator
    Institute of Electrical and Electronics Engineers (IEEE) ; 2019
    In:  IEEE Transactions on Circuits and Systems II: Express Briefs Vol. 66, No. 8 ( 2019-8), p. 1371-1375
    Details
    In: IEEE Transactions on Circuits and Systems II: Express Briefs, Institute of Electrical and Electronics Engineers (IEEE), Vol. 66, No. 8 ( 2019-8), p. 1371-1375
    Type of Medium: Online Resource
    ISSN: 1549-7747 , 1558-3791
    URL: Journal
    URL: Article
    DOI: 10.1109/TCSII.8920
    DOI: 10.1109/TCSII.2018.2883685
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2019
    detail.hit.zdb_id: 2028232-1
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  • 10
    Online Resource
    Online Resource
    DataSheet_1.docx
    Frontiers Media SA ; 2022
    In:  Frontiers in Oncology Vol. 12 ( 2022-2-23)
    Details
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 12 ( 2022-2-23)
    Abstract: Non-SMC condensin I complex subunit G (NCAPG) is expressed in various human cancers, including gliomas. However, its biological function in glioma remains unclear. The present study was designed to determine the biological functions of NCAPG in glioma and to evaluate the association of NCAPG expression with glioma progression. Methods Clinical data on patients with glioma were obtained from The Cancer Genome Atlas (TCGA), the Chinese Glioma Genome Atlas (CGGA), the Gene Expression Omnibus (GEO), and the Rembrandt and Gravendeel databases. The correlations among NCAPG expression, pathological characteristics, and clinical outcome were evaluated. In addition, the correlations of NCAPG expression with immune cell infiltration and glioma progression were analyzed. Results NCAPG expression was higher in gliomas than in adjacent normal tissues. Higher expression of NCAPG in gliomas correlated with poorer prognosis, unfavorable histological features, absence of mutations in the isocitrate dehydrogenase gene ( IDH ), absence of chromosome 1p and 19q deletions, and responses to chemoradiotherapy. Univariate and multivariate Cox analysis demonstrated, in addition to patient age, tumor grade, absence of IDH mutations, and absence of chromosome 1p and 19q deletions, NCAPG expression was independently prognostic of overall survival, disease-free survival, and progression-free survival in patients with glioma. In addition, high expression of NCAPG correlated with tumor infiltration of B cells, CD4+ T cells, CD8+ T cells, neutrophils, macrophages, and dendritic cells. Gene set enrichment analysis (GSEA) indicated that high NCAPG expression was associated with cell proliferation and immune response-related signaling pathways. NCAPG knockdown in glioma cell lines significantly reduced cell survival, proliferation, and migration. Conclusion NCAPG expression correlates with glioma progression and immune cell infiltration, suggesting that NCAPG expression may be a useful prognostic biomarker for glioma.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    URL: Article
    URL: Article
    DOI: 10.3389/fonc.2022.831438
    DOI: 10.3389/fonc.2022.831438.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2649216-7
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