573 research outputs found

    Adipocyte-Like Differentiation in a Posttreatment Embryonal Rhabdomyosarcoma.

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    We describe a 16-year-old boy with rhabdomyosarcoma, consistent with embryonal subtype, of the lower extremity who received systemic neoadjuvant chemotherapy and subsequent excision. Microscopic sections of the postchemotherapy excision demonstrated diffuse, prominent, and immature adipocyte-like differentiation, in addition to skeletal muscle differentiation. Adipocyte-like differentiation was confirmed by a combination of positive Oil Red O and adipophilin immunohistochemical staining. To our knowledge, this represents the first report of an unusual phenomenon of differentiation of a soft tissue rhabdomyosarcoma into adipocyte-like cells after chemotherapy

    Direction of Lead Diffusion in Geological Samples using Rutherford Backscattering Sepctrometry

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    A Rutherford Backscattering (RBS) analysis experiment was performed on several pyrrhotite samples in order to understand their lead (Pb) diffusive properties and determine the diffusion coefficients for Pb into the sample. The pyrrhotite samples were prepared at Rensselaer Polytechnic Institute and were subsequently annealed for one to several days at temperatures on the order of 500–800℃. A 1.1–MV Pelletron Accelerator in the Union College Ion Beam Analysis Laboratory was used to produce beams of 3.3–MeV alpha particles. The beam of alpha particles collided with the samples and the backscattered alpha particles’ energies were detected using a silicon surface barrier detector. The backscattered alpha particle energy spectra were then analyzed using SIMNRA to determine the diffusivity of Pb in the samples. The simulated layers of the sample (obtained using SIMNRA) were determined using the collected RBS spectra and known diffusion trends. Three RBS spectra on the Pb–pyrrhotite samples were collected, simulated and diffusion coefficients D= 3.4x〖10〗^(-22) m^2⁄s,5.6x〖10〗^(-21) m^2⁄s,and 1.1x〖10〗^(-20) m^2⁄s were determined. The activation energy can be described by the relation: D=1.0 exp⁡(-56 kJ mol^(-1)⁄RT. These diffusion coefficients and activation energy were found to be consistent with prior results [1]

    An Operational In Situ Soil Moisture & Soil Temperature Monitoring Network for West Wales, UK:The WSMN Network

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    This paper describes a soil moisture dataset that has been collecting ground measurements of soil moisture, soil temperature and related parameters for west Wales, United Kingdom. Already acquired in situ data have been archived to the autonomous Wales Soil Moisture Network (WSMN) since its foundation in July 2011. The sites from which measurements are being collected represent a range of conditions typical of the Welsh environment, with climate ranging from oceanic to temperate and a range of the most typical land use/cover types found in Wales. At present, WSMN consists of a total of nine monitoring sites across the area with a concentration of sites in three sub-areas around the region of Aberystwyth located in Mid-Wales. The dataset of composed of 0?5 (or 0?10) cm soil moisture, soil temperature, precipitation, and other ancillary data. WSMN data are provided openly to the public via the International Soil Moisture Network (ISMN) platform. At present, WSMN is also rapidly expanding thanks to funding obtained recently which allows more monitoring sites to be added to the network to the wider community interested in using its data.publishersversionPeer reviewe

    Effect of oxygen incorporation in semi-insulating (AlxGa1-x)yIn1-yP

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    Journal ArticleDiscusses a study conducted on oxygen-doped, semi-insulating layers of (aluminum-gallium) indium phosphide grown on gallium arsenide using organometallic vapor phase epitaxy. Effect of oxygen doping on semi-insulating layers of the substance; Secondary-ion mass spectrometry measurements; Measured concentration of oxygen in the layers of the substance in samples used in the study

    Appraising the capability of a land biosphere model as a tool in modelling land surface interactions: results from its validation at selected European ecosystems

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    In this present study the ability of the SimSphere Soil Vegetation Atmosphere Transfer (SVAT) model in estimating key parameters characterising land surface interactions was evaluated. Specifically, SimSphere's performance in predicting Net Radiation (<i>R</i><sub>net</sub>), Latent Heat (LE), Sensible Heat (<i>H</i>) and Air Temperature (<i>T</i><sub>air</sub>) at 1.3 and 50 m was examined. Model simulations were validated by ground-based measurements of the corresponding parameters for a total of 70 days of the year 2011 from 7 CarboEurope network sites. These included a variety of biomes, environmental and climatic conditions in the models evaluation. <br><br> Overall, model performance can largely be described as satisfactory for most of the experimental sites and evaluated parameters. For all model parameters compared, predicted <i>H</i> fluxes consistently obtained the highest agreement to the in-situ data in all ecosystems, with an average RMSD of 55.36 W m<sup>−2</sup>. LE fluxes and <i>R</i><sub>net</sub> also agreed well with the in-situ data with RSMDs of 62.75 and 64.65 W m<sup>−2</sup> respectively. A good agreement between modelled and measured LE and <i>H</i> fluxes was found, especially for smoothed daily flux trends. For both <i>T</i><sub>air</sub> 1.3 m and <i>T</i><sub>air</sub> 50 m a mean RMSD of 4.14 and 3.54 °C was reported respectively. <br><br> This work presents the first all-inclusive evaluation of SimSphere, particularly so in a European setting. Results of this study contribute decisively towards obtaining a better understanding of the model's structure and its correspondence to the real world system. Findings also further establish the model's capability as a useful teaching and research tool in modelling Earth's land surface interactions. This is of considerable importance in the light of the rapidly expanding use of the model worldwide, including ongoing research by various Space Agencies examining its synergistic use with Earth Observation data towards the development of operational products at a global scale

    Application of Smart Insoles for Recognition of Activities of Daily Living: A Systematic Review

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    Recent years have witnessed the increasing literature on using smart insoles in health and well-being, and yet, their capability of daily living activity recognition has not been reviewed. This paper addressed this need and provided a systematic review of smart insole-based systems in the recognition of Activities of Daily Living (ADLs). The review followed the PRISMA guidelines, assessing the sensing elements used, the participants involved, the activities recognised, and the algorithms employed. The findings demonstrate the feasibility of using smart insoles for recognising ADLs, showing their high performance in recognising ambulation and physical activities involving the lower body, ranging from 70% to 99.8% of Accuracy, with 13 studies over 95%. The preferred solutions have been those including machine learning. A lack of existing publicly available datasets has been identified, and the majority of the studies were conducted in controlled environments. Furthermore, no studies assessed the impact of different sampling frequencies during data collection, and a trade-off between comfort and performance has been identified between the solutions. In conclusion, real-life applications were investigated showing the benefits of smart insoles over other solutions and placing more emphasis on the capabilities of smart insoles
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