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  • 1
    Online Resource
    Online Resource
    The landscape of viral associations in human cancers
    Springer Science and Business Media LLC ; 2020
    In:  Nature Genetics Vol. 52, No. 3 ( 2020-03-02), p. 320-330
    Details
    In: Nature Genetics, Springer Science and Business Media LLC, Vol. 52, No. 3 ( 2020-03-02), p. 320-330
    Abstract: Here, as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, for which whole-genome and—for a subset—whole-transcriptome sequencing data from 2,658 cancers across 38 tumor types was aggregated, we systematically investigated potential viral pathogens using a consensus approach that integrated three independent pipelines. Viruses were detected in 382 genome and 68 transcriptome datasets. We found a high prevalence of known tumor-associated viruses such as Epstein–Barr virus (EBV), hepatitis B virus (HBV) and human papilloma virus (HPV; for example, HPV16 or HPV18). The study revealed significant exclusivity of HPV and driver mutations in head-and-neck cancer and the association of HPV with APOBEC mutational signatures, which suggests that impaired antiviral defense is a driving force in cervical, bladder and head-and-neck carcinoma. For HBV, HPV16, HPV18 and adeno-associated virus-2 (AAV2), viral integration was associated with local variations in genomic copy numbers. Integrations at the TERT promoter were associated with high telomerase expression evidently activating this tumor-driving process. High levels of endogenous retrovirus (ERV1) expression were linked to a worse survival outcome in patients with kidney cancer.
    Type of Medium: Online Resource
    ISSN: 1061-4036 , 1546-1718
    URL: Article
    DOI: 10.1038/s41588-019-0558-9
    RVK:
    XA 10000
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 1494946-5
    SSG: 12
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  • 2
    Online Resource
    Online Resource
    Author Correction: The landscape of viral associations in human cancers
    Springer Science and Business Media LLC ; 2023
    In:  Nature Genetics Vol. 55, No. 6 ( 2023-06), p. 1077-1077
    Details
    In: Nature Genetics, Springer Science and Business Media LLC, Vol. 55, No. 6 ( 2023-06), p. 1077-1077
    Type of Medium: Online Resource
    ISSN: 1061-4036 , 1546-1718
    URL: Article
    DOI: 10.1038/s41588-023-01316-y
    RVK:
    XA 10000
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 1494946-5
    SSG: 12
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  • 3
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    Banana Fiber Reinforced Concrete
    International Journal for Research in Applied Science and Engineering Technology (IJRASET) ; 2023
    In:  International Journal for Research in Applied Science and Engineering Technology Vol. 11, No. 6 ( 2023-6-30), p. 4650-4671
    Details
    In: International Journal for Research in Applied Science and Engineering Technology, International Journal for Research in Applied Science and Engineering Technology (IJRASET), Vol. 11, No. 6 ( 2023-6-30), p. 4650-4671
    Abstract: Abstract: Over the years because of the expanding natural concerns, bio composite produced out of regular fiber and is one of the latest progress in the business and constitutes the present extent of experimental work. Fiber reinforced composites has numerous preferences, for example, generally minimal effort in creation, simple to create and better quality contrast than perfect polymer tars due with this reason fiber strengthened composite utilized within an assortment of provision as class of structure material. These natural fibers have excellent physical and mechanical properties and can be used more effectively. They are economical, with no chemicals. The addition of and banana fibres significantly improved many of the engineering properties of the concrete notably compressive strength, tensile strength. The ability to resist cracking and spalling were also enhanced. Thus it acts as a natural admixture giving additional properties to the ordinary cement concrete. In this context four different percentages of banana fibres (0.5%, 1%, 1.5%, 2%) having 50mm length were used. M30 concrete and Ordinary Portland cement of grade 43 was used. The and banana fiber reinforced concrete are tested for compressive strength, splitting tensile strength and flexural strength at different ages (7days 14days and 28 days). This work describe the mechanical behavior of banana fiber reinforced polymer composite with the good references to the impact of fiber loading and on the properties of composites.
    Type of Medium: Online Resource
    ISSN: 2321-9653
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.22214/ijraset.2023
    DOI: 10.22214/ijraset
    DOI: 10.22214/ijraset.2023.54493
    Language: Unknown
    Publisher: International Journal for Research in Applied Science and Engineering Technology (IJRASET)
    Publication Date: 2023
    detail.hit.zdb_id: 2782023-3
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  • 4
    Online Resource
    Online Resource
    Decomposition-Based Multistep Sea Wind Speed Forecasting Using Stacked Gated Recurrent Unit Improved by Residual Connections
    Hindawi Limited ; 2021
    In:  Complexity Vol. 2021 ( 2021-11-15), p. 1-14
    Details
    In: Complexity, Hindawi Limited, Vol. 2021 ( 2021-11-15), p. 1-14
    Abstract: Sea wind speed forecast is important for meteorological navigation system to keep ships in safe areas. The high volatility and uncertainty of wind make it difficult to accurately forecast multistep wind speed. This paper proposes a new decomposition-based model to forecast hourly sea wind speeds. Because mode mixing affects the accuracy of the empirical mode decomposition- (EMD-) based models, this model uses the variational mode decomposition (VMD) to alleviate this problem. To improve the accuracy of predicting subseries with high nonlinearity, this model uses stacked gate recurrent units (GRU) networks. To alleviate the degradation effect of stacked GRU, this model modifies them by adding residual connections to the deep layers. This model decomposes the nonlinear wind speed data into four subseries with different frequencies adaptively. Each stacked GRU predictor has four layers and the residual connections are added to the last two layers. The predictors have 24 inputs and 3 outputs, and the forecast is an ensemble of five predictors’ outputs. The proposed model can predict wind speed in the next 3 hours according to the past 24 hours’ wind speed data. The experiment results on three different sea areas show that the performance of this model surpasses those of a state-of-the-art model, several benchmarks, and decomposition-based models.
    Type of Medium: Online Resource
    ISSN: 1099-0526 , 1076-2787
    URL: Article
    DOI: 10.1155/2021/2727218
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2004607-8
    SSG: 11
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  • 5
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    Prediction of Chaotic Time Series Based on BEN-AGA Model
    Hindawi Limited ; 2021
    In:  Complexity Vol. 2021 ( 2021-9-15), p. 1-16
    Details
    In: Complexity, Hindawi Limited, Vol. 2021 ( 2021-9-15), p. 1-16
    Abstract: Aiming at the prediction problem of chaotic time series, this paper proposes a brain emotional network combined with an adaptive genetic algorithm (BEN-AGA) model to predict chaotic time series. First, we improve the emotional brain learning (BEL) model using the activation function to change the two linear structures the amygdala and the orbitofrontal cortex into the nonlinear structure, and then we establish the brain emotional network (BEN) model. The brain emotional network model has stronger nonlinear calculation ability and generalization ability. Next, we use the adaptive genetic algorithm to optimize the parameters of the brain emotional network model. The weights to be optimized in the model are coded as chromosomes. We design the dynamic crossover probability and mutation probability to control the crossover process and the mutation process, and the optimal parameters are selected through the fitness function to evaluate the chromosome. In this way, we increase the approximation capability of the model and increase the calculation speed of the model. Finally, we reconstruct the phase space of the observation sequence based on the short-term predictability of the chaotic time series; then we establish a brain emotional network model and optimize its parameters with an adaptive genetic algorithm and perform a single-step prediction on the optimized model to obtain the prediction error. The model proposed in this paper is applied to the prediction of Rossler chaotic time series and sunspot chaotic time series. The experimental results verify the effectiveness of the BEN-AGA model and show that this model has higher prediction accuracy and more stability than other methods.
    Type of Medium: Online Resource
    ISSN: 1099-0526 , 1076-2787
    URL: Article
    DOI: 10.1155/2021/6656958
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2004607-8
    SSG: 11
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  • 6
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    Online Resource
    The Impacts of Multiscale Urban Road Network Centrality on Taxi Travel: A Case Study in Shenzhen
    Hindawi Limited ; 2022
    In:  Complexity Vol. 2022 ( 2022-11-23), p. 1-13
    Details
    In: Complexity, Hindawi Limited, Vol. 2022 ( 2022-11-23), p. 1-13
    Abstract: As a crucial part of the urban system, road networks play a key role in the evolution of the urban structure. Therefore, studying the structural characteristics of urban road networks is pivotal for improving the efficiency of traffic network nodes and for relieving traffic pressure. This paper applies an urban road network analysis method to measure the centrality of the multiscale road network in Shenzhen, China. Taxi GPS data from October 17 to October 23, 2017, were selected for analysis of spatial distribution characteristics. This paper also established a regression model of taxi pick-up and drop-off frequency and road network centrality for further analysis. Several interesting observations were made. With respect to the increasing search radius, the closeness centrality indicator shifts from a multicentered distribution to a single-centered distribution, while the betweenness centrality indicator shifts from a patchy distribution to a distribution along the main roads. In addition, the straightness centrality indicator turns from a dispersed distribution to a point-axis distribution, concentrated in the southern part of the city. Second, there were variations between the centrality of the road network and the location of taxi pick-up and drop-off points. The regression model gets the highest value of R2, indicating a significant correlation in cases where the search radius is 3 km. Finally, the relationship exhibits a clear positive correlation between the betweenness centrality and taxi pick-up and drop-off points. On the other hand, closeness centrality is not correlated with these points. The straightness centrality has a negative correlation with the frequency of taxi pick-up and drop-off at 3 km and 8 km scale.
    Type of Medium: Online Resource
    ISSN: 1099-0526 , 1076-2787
    URL: Article
    DOI: 10.1155/2022/1780667
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2004607-8
    SSG: 11
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  • 7
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    Sex differences in oncogenic mutational processes
    Springer Science and Business Media LLC ; 2020
    In:  Nature Communications Vol. 11, No. 1 ( 2020-08-28)
    Details
    In: Nature Communications, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2020-08-28)
    Abstract: Sex differences have been observed in multiple facets of cancer epidemiology, treatment and biology, and in most cancers outside the sex organs. Efforts to link these clinical differences to specific molecular features have focused on somatic mutations within the coding regions of the genome. Here we report a pan-cancer analysis of sex differences in whole genomes of 1983 tumours of 28 subtypes as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. We both confirm the results of exome studies, and also uncover previously undescribed sex differences. These include sex-biases in coding and non-coding cancer drivers, mutation prevalence and strikingly, in mutational signatures related to underlying mutational processes. These results underline the pervasiveness of molecular sex differences and strengthen the call for increased consideration of sex in molecular cancer research.
    Type of Medium: Online Resource
    ISSN: 2041-1723
    URL: Article
    DOI: 10.1038/s41467-020-17359-2
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2553671-0
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  • 8
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    Pathway and network analysis of more than 2500 whole cancer genomes
    Springer Science and Business Media LLC ; 2020
    In:  Nature Communications Vol. 11, No. 1 ( 2020-02-05)
    Details
    In: Nature Communications, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2020-02-05)
    Abstract: The catalog of cancer driver mutations in protein-coding genes has greatly expanded in the past decade. However, non-coding cancer driver mutations are less well-characterized and only a handful of recurrent non-coding mutations, most notably TERT promoter mutations, have been reported. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancer across 38 tumor types, we perform multi-faceted pathway and network analyses of non-coding mutations across 2583 whole cancer genomes from 27 tumor types compiled by the ICGC/TCGA PCAWG project that was motivated by the success of pathway and network analyses in prioritizing rare mutations in protein-coding genes. While few non-coding genomic elements are recurrently mutated in this cohort, we identify 93 genes harboring non-coding mutations that cluster into several modules of interacting proteins. Among these are promoter mutations associated with reduced mRNA expression in TP53 , TLE4 , and TCF4 . We find that biological processes had variable proportions of coding and non-coding mutations, with chromatin remodeling and proliferation pathways altered primarily by coding mutations, while developmental pathways, including Wnt and Notch, altered by both coding and non-coding mutations. RNA splicing is primarily altered by non-coding mutations in this cohort, and samples containing non-coding mutations in well-known RNA splicing factors exhibit similar gene expression signatures as samples with coding mutations in these genes. These analyses contribute a new repertoire of possible cancer genes and mechanisms that are altered by non-coding mutations and offer insights into additional cancer vulnerabilities that can be investigated for potential therapeutic treatments.
    Type of Medium: Online Resource
    ISSN: 2041-1723
    URL: Article
    DOI: 10.1038/s41467-020-14367-0
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2553671-0
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  • 9
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    A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
    Springer Science and Business Media LLC ; 2020
    In:  Nature Communications Vol. 11, No. 1 ( 2020-02-05)
    Details
    In: Nature Communications, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2020-02-05)
    Abstract: In cancer, the primary tumour’s organ of origin and histopathology are the strongest determinants of its clinical behaviour, but in 3% of cases a patient presents with a metastatic tumour and no obvious primary. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium , we train a deep learning classifier to predict cancer type based on patterns of somatic passenger mutations detected in whole genome sequencing (WGS) of 2606 tumours representing 24 common cancer types produced by the PCAWG Consortium. Our classifier achieves an accuracy of 91% on held-out tumor samples and 88% and 83% respectively on independent primary and metastatic samples, roughly double the accuracy of trained pathologists when presented with a metastatic tumour without knowledge of the primary. Surprisingly, adding information on driver mutations reduced accuracy. Our results have clinical applicability, underscore how patterns of somatic passenger mutations encode the state of the cell of origin, and can inform future strategies to detect the source of circulating tumour DNA.
    Type of Medium: Online Resource
    ISSN: 2041-1723
    URL: Article
    DOI: 10.1038/s41467-019-13825-8
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2553671-0
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  • 10
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    Towards An Integrated Framework Of Financial Well-Being: An Evolutionary Prespective
    Academy of Management ; 2023
    In:  Academy of Management Proceedings Vol. 2023, No. 1 ( 2023-08)
    Details
    In: Academy of Management Proceedings, Academy of Management, Vol. 2023, No. 1 ( 2023-08)
    Type of Medium: Online Resource
    ISSN: 0065-0668 , 2151-6561
    URL: Article
    DOI: 10.5465/AMPROC.2023.14473abstract
    Language: English
    Publisher: Academy of Management
    Publication Date: 2023
    detail.hit.zdb_id: 2069299-7
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