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  • WT is a modified version of Tephra2 to reconstruct tephra fall from bending plume, which often occurs in windy condition.
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    • File Set
  • An isothermal implementation of Smoothed Dissipative Particle Dynamics (SDPD) for LAMMPS is presented. SDPD is useful for hydrodynamics simulations at mesoscale where the effect of thermal fluctuations are important, but a molecular dynamics simulation is prohibitively expensive. We have used this package to simulate diffusion of spherical colloids. The results (particularly the long-time behaviour of velocity autocorrelation function) are in agreement with theoretical models that take hydrodynamic interactions into account.
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  • Supporting Video
    Data Types:
    • Video
    • Dataset
  • Appendix 1: Mineral chemistry Data Appendix 2: Precision and acuraccy Appendix 3: Compilated data for isotopic geochemistry
    Data Types:
    • Tabular Data
    • Dataset
  • Raw pollen counts and full pollen diagram from the RZ section, Nangqian Basin, Tibet, China
    Data Types:
    • Tabular Data
    • Dataset
  • FTIR: The chitosan derived from T. telescopium was characterized using a Fourier Transform Infra-Red Spectrophotometer (FTIR). The spectrum showed peak at 873.75 cm-1, which could be assigned C-N stretching. The absorption peak at 1454.33 cm-1is assigned to C-H bending of the side chain –CH2OH. 1654.92 cm-1is a characteristic of bending vibration of N-H while 3637.75 cm-1 is characteristic of free O-H groups. The band at 1103.28 cm−1 is attributed to the C O C stretching. The spectrum is relatively similar to that of commercial chitosan and all these absorption peaks are typical of chitosan molecule. SEM: The structure and morphology of the chitosan was studied by SEM analysis. The SEM micrograph shows that there is a difference in the surface morphology between the gastropod and the commercial chitosan. For T. telescopium chitosan the micrograph shows a smooth and homogenous surface with clustering of uneven particles. At high magnification, the particles were observed to be irregular in shape and dispersed as flakes. XRD: The XRD pattern of chitosan exhib¬ited broad diffraction peaks at 2θ = 18º and 35º which are typical finger prints of semi-crys¬talline chitosan. The gastropod chitosan was found to have few different peaks compared to commercial grade chitosan, which may be attributed to the presence of minerals in the prepared chitosan; but the major XRD peaks recorded are the characteristics of formation of chitosan compound.
    Data Types:
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    • Text
  • We present a parallel implementation of a direct solver for Poisson’s equation on extreme-scale supercomputers with accelerators. We introduce a chunked-pencil decomposition as the domain-decomposition strategy to distribute work among processing elements to achieve improved scalability at high counts of accelerators. Chunked-pencil decomposition enables overlapping MPI communication and data transfer between the central processing units (CPUs) and the graphics processing units (GPUs). It enables contiguous message transfer among the nodes and improves data locality by keeping neighboring elements in adjacent memory locations while permitting the use of shared memory for certain segments of the algorithm when possible. We study two different communication patterns within the chunked-pencil decomposition. The first pattern fully overlaps the communication with data transfer and aims to speedup the overall turnaround time. The second pattern concentrates on low memory usage and is more network friendly than the first pattern for computations at extreme scale. In our parallel implementation, we interleave OpenACC with MPI to support computations on the GPU or the CPU. The numerical solution and its formal second order of accuracy is verified using the method of manufactured solutions for various combinations of boundary conditions. Additionally, we used PittPack within an incompressible flow solver to further validate its accuracy and as well as demonstrate its versatility as a software package. We performed weak scaling analysis with up to 1.1 trillion Cartesian mesh points distributed over 16384 GPUs on a petascale leadership class supercomputer.
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  • Kaplan-Meier survival curves for acral lentiginous melanoma (ALM) and non acral lentiginous melanoma (non-ALM).
    Data Types:
    • Image
    • Dataset
  • MS profile
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    • File Set
  • A Mobile Monitoring System (MMS) has been designed having into account the use of technology with high sensor accuracy and with the capacity to be installed easily and quickly in different cardinal locations, distribution spaces, volumes and at different heights of a tertiary in-use building located in Leioa (Bilbao).Two types of MMS have been designed with the aim of doing two types of analysis, one intended to do the indoor air temperature uncertainty analysis and another focused on doing the outdoor air temperature uncertainty analysis. Eight tripods compose the indoor MMS with twenty sensors at different heights, which have been installed in different building’s offices in order to collect indoor temperature measurements at different heights and locations. As well, eight sensors compose the outdoor MMS to collect data of outdoor temperature measurements. Both MMS have been integrated to the existing Building Automation System (BAS) of the tertiary building; some data collected by the BAS have also been taken into account for the indoor and outdoor temperature uncertainty analysis. Seven tests have been carried out, five tests for the indoor temperature analysis and two tests for outdoor analysis. In the case of indoor MMS, one test has collected temperature data from all sensors together in the same place and at the same height, and four tests were carried out in four different offices with different typologies; all tests have been performed using the MMS at different periods using the same eight tripods. With the outdoor MMS, again, one test has collected temperature data of all sensors together located at the building’s roof and the final test has been carried out installing the sensors around the envelope of the building at different heights and cardinal locations. The potential of the datasets from the indoor and outdoor MMSs is based on the rigorous data collection process, which allows making an analysis of: temperature uncertainties, temperature stratification, temperature spatial behaviour and temperature behaviour analysis due to impact of solar radiation, heating system and electricity consumption.
    Data Types:
    • Tabular Data
    • Dataset
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