1,721,629 research outputs found
tRNAome regulating hepatitis E virus-triggered inflammasome response
No full textThese are original data, processed data and figures from a study entitled "Hepatitis E virus infection remodels the mature tRNAome in macrophages to orchestrate NLRP3 inflammasome response”. This study is under consideration by PNAS for publication. These data can be easily re-used, once this paper will be published (according to the description in the paper)
Genome-wide transcriptomic profiling of human biliary organoids infected with rotavirus
No full textThree batches of rotavirus infected vs. uninfected: genome-wide gene expression was profiled by RNA-seq. Data shown comparison for the relative expression of all the genes
Multi-scale modelling and characterization of 3D woven composites using unit cells
No full textUnit cells have been proven to be an effective tool for material characterisation in conjunction with the use of finite element method (FEM) to predict the effective properties of composites. A key step in the application of unit cells is to impose periodic boundary conditions to the unit cells concerned. Successful imposition of such boundary conditions requires the coordinates of nodes as well as the tessellations on each side of any pair of opposite faces to be precisely related. This requirement is difficult to satisfy in some cases without using a well-developed FE pre-processor. This is especially true for 3D textile composites, such as 3D woven composites. This paper introduces a methodology to incorporate relevant resources from different codes in a single code. This methodology was been integrated into a commercialised software, UnitCells</p
Strength prediction for textile composites using artificial neural network, principlecomponent analysisand unit cells
No full textThere is no rational failure criterion that can be used for 3D textile composites as they have very complicated mesoscopic architectures and failure mechanisms. An advanced interpolation method called an Artificial Neural Network (ANN) has been employed to solve this problem numerically. However, the ANN based on mesoscale unit cell models requires definition of a large number of input parameters. This substantially increases ANN training time and therefore makes this approach computationally expensive. Therefore principal component analysis (PCA) has been resorted to in order to reduce the number of input parameters of ANN. The ANN has been coded into Abaqus Umat and Vumat user subroutines to describe the progressive failure behaviours of textile composites from virgin state to final failure. This methodology has then been verified by comparing the results from ANN and those from analyses of the unit cell model directly. The application of this methodology has been demonstrated through the simulation of a flat 3D braided textile composite plate impacted by a rigid spherical projectile. Experimental validation of the methodology is under way.</p
Replication Data for: Combating pan-coronavirus infection by indomethacin through simultaneously inhibiting viral replication and inflammatory response
No full textAll original and processed data for the published study: Combating pan-coronavirus infection by indomethacin through simultaneously inhibiting viral replication and inflammatory response.Wang Y, Li P, Xu L, de Vries AC, Rottier RJ, Wang W, Crombag MBS, Peppelenbosch MP, Kainov DE, Pan Q. iScience. 2023 Aug 16;26(9):107631. doi: 10.1016/j.isci.2023.107631.
Data are sorted according to the figures and supplementary figures as this published study
Seasonal coronavirus infections trigger NLRP3 inflammasome activation in macrophages and therapeutic targeting
No full textAll original and processed data for the published study: Seasonal coronavirus infections trigger NLRP3 inflammasome activation in macrophages but is therapeutically targetable. Li Y, Wang Y, Li Y, de Vries AC, Li P, Peppelenbosch MP, Pan Q. Antiviral Res. 2023 Aug;216:105674. doi: 10.1016/j.antiviral.2023.105674. Epub 2023 Jul 17. PMID: 37459896
Data are sorted according to the figures and supplementary figures as this published study
Probabilistic tunnel face stability analysis: A comparison between LEM and LAM
No full textIt is a key issue in the tunnel design to evaluate the stability of the excavation face. Two efficient analytical models in the context of the limit equilibrium method (LEM) and the limit analysis method (LAM) are used to carry out the deterministic calculations of the safety factor. The safety factor obtained by these two models agrees well with that provided by the numerical modelling by FLAC 3D, but consuming less time. A simple probabilistic approach based on the Mote-Carlo Simulation technique which can quickly calculate the probability distribution of the safety factor was used to perform the probabilistic analysis on the tunnel face stability. Both the cumulative probabilistic distribution and the probability density function in terms of the safety factor were obtained. The obtained results show the effectiveness of this probabilistic approach in the tunnel design
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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