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  • 1
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    Online Resource
    Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations_supp1-3287184.pdf
    Institute of Electrical and Electronics Engineers (IEEE) ; 2024
    In:  IEEE Transactions on Cognitive and Developmental Systems
    Details
    In: IEEE Transactions on Cognitive and Developmental Systems, Institute of Electrical and Electronics Engineers (IEEE)
    Type of Medium: Online Resource
    ISSN: 2379-8920 , 2379-8939
    URL: Article
    URL: Article
    DOI: 10.1109/TCDS.2023.3287184
    DOI: 10.1109/TCDS.2023.3287184/mm1
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2024
    detail.hit.zdb_id: 2850311-9
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  • 2
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    The surgical safety checklist and patient outcomes after surgery: a prospective observational cohort study, systematic review and meta-analysis
    Elsevier BV ; 2018
    In:  British Journal of Anaesthesia Vol. 120, No. 1 ( 2018-01), p. 146-155
    Details
    In: British Journal of Anaesthesia, Elsevier BV, Vol. 120, No. 1 ( 2018-01), p. 146-155
    Type of Medium: Online Resource
    ISSN: 0007-0912
    URL: Article
    DOI: 10.1016/j.bja.2017.08.002
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
    detail.hit.zdb_id: 2011968-9
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  • 3
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    Prediction of postoperative infection in elderly using deep learning-based analysis: an observational cohort study
    Springer Science and Business Media LLC ; 2023
    In:  Aging Clinical and Experimental Research Vol. 35, No. 3 ( 2023-01-04), p. 639-647
    Details
    In: Aging Clinical and Experimental Research, Springer Science and Business Media LLC, Vol. 35, No. 3 ( 2023-01-04), p. 639-647
    Abstract: Elderly patients are susceptible to postoperative infections with increased mortality. Analyzing with a deep learning model, the perioperative factors that could predict and/or contribute to postoperative infections may improve the outcome in elderly. This was an observational cohort study with 2014 elderly patients who had elective surgery from 28 hospitals in China from April to June 2014. We aimed to develop and validate deep learning-based predictive models for postoperative infections in the elderly. 1510 patients were randomly assigned to be training dataset for establishing deep learning-based models, and 504 patients were used to validate the effectiveness of these models. The conventional model predicted postoperative infections was 0.728 (95% CI 0.688–0.768) with the sensitivity of 66.2% (95% CI 58.2–73.6) and specificity of 66.8% (95% CI 64.6–68.9). The deep learning model including risk factors relevant to baseline clinical characteristics predicted postoperative infections was 0.641 (95% CI 0.545–0.737), and sensitivity and specificity were 34.2% (95% CI 19.6–51.4) and 88.8% (95% CI 85.6–91.6), respectively. Including risk factors relevant to baseline variables and surgery, the deep learning model predicted postoperative infections was 0.763 (95% CI 0.681–0.844) with the sensitivity of 63.2% (95% CI 46–78.2) and specificity of 80.5% (95% CI 76.6–84). Our feasibility study indicated that a deep learning model including risk factors for the prediction of postoperative infections can be achieved in elderly. Further study is needed to assess whether this model can be used to guide clinical practice to improve surgical outcomes in elderly.
    Type of Medium: Online Resource
    ISSN: 1720-8319
    URL: Article
    DOI: 10.1007/s40520-022-02325-3
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2119282-0
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  • 4
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    Prospective observational cohort study on grading the severity of postoperative complications in global surgery research
    Oxford University Press (OUP) ; 2019
    In:  British Journal of Surgery Vol. 106, No. 2 ( 2019-01-08), p. e73-e80
    Details
    In: British Journal of Surgery, Oxford University Press (OUP), Vol. 106, No. 2 ( 2019-01-08), p. e73-e80
    Abstract: The Clavien–Dindo classification is perhaps the most widely used approach for reporting postoperative complications in clinical trials. This system classifies complication severity by the treatment provided. However, it is unclear whether the Clavien–Dindo system can be used internationally in studies across differing healthcare systems in high- (HICs) and low- and middle-income countries (LMICs). Methods This was a secondary analysis of the International Surgical Outcomes Study (ISOS), a prospective observational cohort study of elective surgery in adults. Data collection occurred over a 7-day period. Severity of complications was graded using Clavien–Dindo and the simpler ISOS grading (mild, moderate or severe, based on guided investigator judgement). Severity grading was compared using the intraclass correlation coefficient (ICC). Data are presented as frequencies and ICC values (with 95 per cent c.i.). The analysis was stratified by income status of the country, comparing HICs with LMICs. Results A total of 44 814 patients were recruited from 474 hospitals in 27 countries (19 HICs and 8 LMICs). Some 7508 patients (16·8 per cent) experienced at least one postoperative complication, equivalent to 11 664 complications in total. Using the ISOS classification, 5504 of 11 664 complications (47·2 per cent) were graded as mild, 4244 (36·4 per cent) as moderate and 1916 (16·4 per cent) as severe. Using Clavien–Dindo, 6781 of 11 664 complications (58·1 per cent) were graded as I or II, 1740 (14·9 per cent) as III, 2408 (20·6 per cent) as IV and 735 (6·3 per cent) as V. Agreement between classification systems was poor overall (ICC 0·41, 95 per cent c.i. 0·20 to 0·55), and in LMICs (ICC 0·23, 0·05 to 0·38) and HICs (ICC 0·46, 0·25 to 0·59). Conclusion Caution is recommended when using a treatment approach to grade complications in global surgery studies, as this may introduce bias unintentionally.
    Type of Medium: Online Resource
    ISSN: 0007-1323 , 1365-2168
    URL: Article
    DOI: 10.1002/bjs.11025
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2019
    detail.hit.zdb_id: 2006309-X
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  • 5
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    A New Crescent-Shaped Wear Equation for Calculating Collapse Strength of Worn Casing Under Uniform Loading
    ASME International ; 2015
    In:  Journal of Pressure Vessel Technology Vol. 137, No. 3 ( 2015-06-01)
    Details
    In: Journal of Pressure Vessel Technology, ASME International, Vol. 137, No. 3 ( 2015-06-01)
    Abstract: During the practice of oil and gas drilling and exploration, the casing wear became more and more serious and well known. A crescent-shaped wear pattern is the major wear type and leads to decrease of casing collapse strength. It is obvious that the casing design and safety assessment must take casing wear into account. However, existing empirical equations generally neglect the effect of manufacturing defects on collapse strength, which leads to a large error between calculated results and experimental data. To address the need, the wear mechanism is studied in this paper, and the effects of both wear and manufacturing defects on the collapse strength are considered. Based on this study, a new equation for calculating the collapse strength of a casing with crescent-shaped wear is presented. Comparison with experiment and alternate assessment methods shows that the new equation is much better than other methods and its calculated results are much closer to the experimental data. The new equation was used for the casing design of ultra-deep wells, especially in the north–west part of China.
    Type of Medium: Online Resource
    ISSN: 0094-9930 , 1528-8978
    URL: Article
    DOI: 10.1115/1.4029588
    Language: English
    Publisher: ASME International
    Publication Date: 2015
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  • 6
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    c-JUN is a barrier in hESC to cardiomyocyte transition
    Life Science Alliance, LLC ; 2023
    In:  Life Science Alliance Vol. 6, No. 11 ( 2023-11), p. e202302121-
    Details
    In: Life Science Alliance, Life Science Alliance, LLC, Vol. 6, No. 11 ( 2023-11), p. e202302121-
    Abstract: Loss of c-JUN leads to early mouse embryonic death, possibly because of a failure to develop a normal cardiac system. How c-JUN regulates human cardiomyocyte cell fate remains unknown. Here, we used the in vitro differentiation of human pluripotent stem cells into cardiomyocytes to study the role of c-JUN. Surprisingly, the knockout of c-JUN improved cardiomyocyte generation, as determined by the number of TNNT2+ cells. ATAC-seq data showed that the c-JUN defect led to increased chromatin accessibility on critical regulatory elements related to cardiomyocyte development. ChIP-seq data showed that the knockout c-JUN increased RBBP5 and SETD1B expression, leading to improved H3K4me3 deposition on key genes that regulate cardiogenesis. The c-JUN KO phenotype could be copied using the histone demethylase inhibitor CPI-455, which also up-regulated H3K4me3 levels and increased cardiomyocyte generation. Single-cell RNA-seq data defined three cell branches, and knockout c-JUN activated more regulons that are related to cardiogenesis. In summary, our data demonstrated that c-JUN could regulate cardiomyocyte cell fate by modulating H3K4me3 modification and chromatin accessibility and shed light on how c-JUN regulates heart development in humans.
    Type of Medium: Online Resource
    ISSN: 2575-1077
    URL: Article
    DOI: 10.26508/lsa.202302121
    Language: English
    Publisher: Life Science Alliance, LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2948687-7
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  • 7
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    Free water in T2 FLAIR white matter hyperintensity lesions
    Wiley ; 2021
    In:  Alzheimer's & Dementia Vol. 17, No. S4 ( 2021-12)
    Details
    In: Alzheimer's & Dementia, Wiley, Vol. 17, No. S4 ( 2021-12)
    Abstract: White matter (WM) free water (FW) is likely associated with cerebral small vessel disease (CSVD). FW is the fraction of unconstrained water within an image voxel, which can be estimated from diffusion‐weighted images. T2‐weighted Fluid‐Attenuated Inversion Recovery (FLAIR) white matter hyperintensity (WMH) is a widely used index to assess the damages caused by CSVD. It is critical to characterize how FW content is altered in WMH lesions. In this work, we proposed a data processing framework to assess FW distributions in WMH and normal‐appearing WM as well as in different WM fiber tracts. Method Single‐shell diffusion‐weighted image (SS‐DWI) and T2 FLAIR image data of 133 cognitively normal (CN) adults (Table 1) were obtained from the ADNI dataset (http://adni.loni.usc.edu). FW maps were generated from SS‐DWI images using the DIPY software package (https://dipy.org/). WMH lesions were identified with the lesion segmentation toolbox implemented in SPM. We co‐registered FW and WMH maps of individual subjects in the MNI space. Then we derived group WM fiber tracts using the tract‐based spatial statistics (TBSS). Finally, we examined the localization of WMH and FW in the major WM tracts. Result Figure 1 shows the FW map, FLAIR image, and WMH lesion from a representative subject. Figure 2 shows group average and individual FW distributions in WMH and normal‐appearing WM. Two sample T‐Test found that FW content in WMH is significantly higher than that in normal‐appearing WM (mean FW and standard deviation FW in WMH are 0.430 and 0.112, mean FW and standard deviation FW in normal‐appearing WM are 0.203 and 0.06, P 〈 1×10 ‐30 ). TBSS based analysis showed that: 1) WMH lesions are mainly located in the corona radiata, posterior thalamic radiation, tapetum, superior fronto‐occipital fasciculus, superior longitudinal fasciculus, corpus callosum, and sagittal stratum; 2) Compared with mean FW in normal‐appearing WM, elevated FW content is mainly at the fornix, tapetum, cingulum hippocampus, superior fronto‐occipital fasciculus, corpus callosum, sagittal stratum, and posterior thalamic radiation. Conclusion We developed an image processing pipeline to estimate FW changes in WMH lesions and normal‐appearing WM. Free water content is elevated in WMH lesions, which is likely driven by CSVD.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    URL: Article
    DOI: 10.1002/alz.v17.S4
    DOI: 10.1002/alz.057398
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2201940-6
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  • 8
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    Alteration of Trop-2 expression in breast cancer cells by clinically used therapeutic agents and acquired tamoxifen resistance
    Springer Science and Business Media LLC ; 2022
    In:  Breast Cancer Vol. 29, No. 6 ( 2022-11), p. 1076-1087
    Details
    In: Breast Cancer, Springer Science and Business Media LLC, Vol. 29, No. 6 ( 2022-11), p. 1076-1087
    Abstract: Sacituzumab govitecan is an antibody–drug conjugate that delivers SN-38, an active metabolite of irinotecan, to the target molecule, trophoblast cell-surface antigen 2 (Trop-2). It is a promising drug for triple-negative breast cancer and is anticipated to be effective for luminal breast cancer. The efficacy of the agent relies on the expression of Trop-2 rather than its intracellular function. However, conditions that alter the Trop-2 expression have not been well investigated. Methods We tested a range of clinically related treatments for their effect on Trop-2 expression in cultured breast cancer cell lines. Results The expression level of Trop-2 differed among cell lines, independent of their subtypes, and was highly variable on treatment with kinase inhibitors, tamoxifen, irradiation, and chemotherapeutic agents including irinotecan. While inhibitors of AKT, RSK, and p38 MAPK suppressed the Trop-2 expression, tamoxifen treatment significantly increased Trop-2 expression in luminal cancer cell lines. Notably, luminal cancer cells with acquired resistance to tamoxifen also exhibited higher levels of Trop-2. We identified transcription factor EB (TFEB) as a possible mechanism underlying tamoxifen-induced elevation of Trop-2 expression. Tamoxifen triggers dephosphorylation of TFEB, an active form of TFEB, and the effect of tamoxifen on Trop-2 was prevented by depletion of TFEB. A luciferase reporter assay showed that Trop-2 induction by TFEB was dependent on a tandem E-box motif within the Trop-2 promoter region. Conclusions Overall, these results suggest that the effectiveness of sacituzumab govitecan could be altered by concomitant treatment and that tamoxifen could be a favorable agent for combined therapy.
    Type of Medium: Online Resource
    ISSN: 1340-6868 , 1880-4233
    URL: Article
    DOI: 10.1007/s12282-022-01389-3
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2394259-9
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  • 9
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    Numerical Simulation of Lined Steel Pipe Hydro-Forming Process
    American Scientific Publishers ; 2012
    In:  Journal of Computational and Theoretical Nanoscience Vol. 9, No. 9 ( 2012-09-01), p. 1175-1179
    Details
    In: Journal of Computational and Theoretical Nanoscience, American Scientific Publishers, Vol. 9, No. 9 ( 2012-09-01), p. 1175-1179
    Type of Medium: Online Resource
    ISSN: 1546-1955 , 1546-1963
    URL: Article
    DOI: 10.1166/jctn.2012.2166
    Language: English
    Publisher: American Scientific Publishers
    Publication Date: 2012
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  • 10
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    A Novel YTHDF3-Based Model to Predict Prognosis and Therapeutic Response in Breast Cancer
    Frontiers Media SA ; 2022
    In:  Frontiers in Molecular Biosciences Vol. 9 ( 2022-6-9)
    Details
    In: Frontiers in Molecular Biosciences, Frontiers Media SA, Vol. 9 ( 2022-6-9)
    Abstract: Background: Due to high tumor heterogeneity, breast cancer (BC) patients still suffer poor survival outcomes. YTHDF3 plays a critical role in the prognosis of BC patients. Hence, we aimed to construct a YTHDF3-based model for the prediction of the overall survival (OS) and the sensitivity of therapeutic agents in BC patients. Methods: Based on The Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/ ) database, we obtained BC patients’ data ( n = 999) with YTHDF3 expression profiles. The association between YTHDF3 expression and 5-year OS was determined via Cox proportional hazards regression (CPHR) analysis. By integrating the variables, we established a prognostic nomogram. The model was estimated via discrimination, calibration ability, and decision curve analysis (DCA). The performance of the model was compared with the TNM stage system through receiver operating characteristic (ROC) curves and DCA. By means of the Genomics of Drug Sensitivity in Cancer (GDSC) database ( https://www.cancerrxgene.org/ ), the therapeutic agents’ response was estimated. Gene set enrichment analysis (GSEA) demonstrated possible biological mechanisms related to YTHDF3. TIMER and CIBERSORTx were employed to analyze the association between YTHDF3 and tumor-infiltrating immune cells. Results: The high YTHDF3 expression was significantly correlated with poor 5-year OS in BC patients. Through multivariate CPHR, four independent prognostic variables (age, TNM stage, YTHDF3 expression, and molecular subtype) were determined. On the basis of the four factors, a YTHDF3-based nomogram was built. The area under the curve (AUC) of the ROC curve for the model surpassed that of the TNM stage system (0.72 vs. 0.63, p = 0.00028). The model predictions showed close consistency with the actual observations via the calibration plot. Therapeutic response prediction was conducted in high- and low-risk groups and compared with each other. The BC patients with higher risk scores showed more therapeutic resistance than those with a lower risk score. Conclusion: YTHDF3 was verified as a prognostic biomarker of BC, and a novel YTHDF3-based model was constructed to predict the 5-year OS of BC patients. Our model could be applied to effectively predict the therapeutic response of commonly used agents for BC patients.
    Type of Medium: Online Resource
    ISSN: 2296-889X
    URL: Article
    DOI: 10.3389/fmolb.2022.874532
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2814330-9
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