14 research outputs found

    Gas transport behavior of mixed-matrix membranes composed of silica nanoparticles in a polymer of intrinsic microporosity (PIM-1)

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    Recently, high-free volume, glassy ladder-type polymers, referred to as polymers of intrinsic microporosity (PIM), have been developed and their reported gas transport performance exceeded the Robeson upper bound trade-off for O2/N2 and CO2/CH4. The present work reports the gas transport behavior of PIM-1/silica nanocomposite membranes. The changes in free volume, as well as the presence and volume of the void cavities, were investigated by analyzing the density, thermal stability, and nano-structural morphology. The enhancement in gas permeability (e.g., He, H2, O2, N2, and CO2) with increasing filler content shows that the trend is related to the true silica volume and void volume fraction.Peer reviewed: YesNRC publication: Ye

    Forecasting type-specific seasonal influenza after 26 weeks in the United States using influenza activities in other countries.

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    To identify countries that have seasonal patterns similar to the time series of influenza surveillance data in the United States and other countries, and to forecast the 2018-2019 seasonal influenza outbreak in the U.S., we collected the surveillance data of 164 countries using the FluNet database, search queries from Google Trends, and temperature from 2010 to 2018. Data for influenza-like illness (ILI) in the U.S. were collected from the Fluview database. We identified the time lag between two time-series which were weekly surveillances for ILI, total influenza (Total INF), influenza A (INF A), and influenza B (INF B) viruses between two countries using cross-correlation analysis. In order to forecast ILI, Total INF, INF A, and INF B of next season (after 26 weeks) in the U.S., we developed prediction models using linear regression, auto regressive integrated moving average, and an artificial neural network (ANN). As a result of cross-correlation analysis between the countries located in northern and southern hemisphere, the seasonal influenza patterns in Australia and Chile showed a high correlation with those of the U.S. 22 weeks and 28 weeks earlier, respectively. The R2 score of ANN models for ILI for validation set in 2015-2019 was 0.758 despite how hard it is to forecast 26 weeks ahead. Our prediction models forecast that the ILI for the U.S. in 2018-2019 may be later and less severe than those in 2017-2018, judging from the influenza activity for Australia and Chile in 2018. It allows to estimate peak timing, peak intensity, and type-specific influenza activities for next season at 40th week. The correlation between seasonal influenza patterns in the U.S., Australia, and Chile could be used to forecast the next seasonal influenza pattern, which can help to determine influenza vaccine strategy approximately six months ahead in the U.S

    Nanoscale Zirconium-Abundant Surface Layers on Lithium- and Manganese-Rich Layered Oxides for High-Rate Lithium-Ion Batteries

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    Battery performance, such as the rate capability and cycle stability of lithium transition metal oxides, is strongly correlated with the surface properties of active particles. For lithium-rich layered oxides, transition metal segregation in the initial state and migration upon cycling leads to a significant structural rearrangement, which eventually degrades the electrode performance. Here, we show that a fine-tuning of surface chemistry on the particular crystal facet can facilitate ionic diffusion and thus improve the rate capability dramatically, delivering a specific capacity of ∼110 mAh g<sup>–1</sup> at 30C. This high rate performance is realized by creating a nanoscale zirconium-abundant rock-salt-like surface phase epitaxially grown on the layered bulk. This surface layer is spontaneously formed on the Li<sup>+</sup>-diffusive crystallographic facets during the synthesis and is also durable upon electrochemical cycling. As a result, Li-ions can move rapidly through this nanoscale surface layer over hundreds of cycles. This study provides a promising new strategy for designing and preparing a high-performance lithium-rich layered oxide cathode material

    Experimental study of siphon breaking phenomenon in the real-scaled research reactor pool

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    Pipe rupture is one of the main causes of loss-of-coolant accident (LOCA). A siphon-breaking system would provide a passive mean of preventing LOCA, increasing the safety of research reactors. But despite the need for such a system, previous research on siphon breaking has not been conducted in a systematic manner. In this study, specific lines and holes were selected to act as siphon breakers, and the effect of size and other variables were investigated using an experimental facility similar on the scale of a real reactor. The performance of various siphon breakers was evaluated experimentally for different siphon-breaker sizes, pipe-rupture points, and pipe-rupture sizes. The effect of an orifice was also considered. Visualization of siphon breaking and examination of transient pressure data were used to analyze siphon-breaking phenomena. Filling a horizontal main pipe at the highest point by entrained air had a large effect on triggering siphon breaking; however, the stacked air entrained during the siphon-breaking event alone was insufficient to cause the phenomenon. All of the experimental parameters were investigated by comparing the undershooting height and transient pressure data trends. Experimental investigation and observation could give the possible postulate that all experimental parameters could be described as physical parameters, such as air flow rate, water flow rate and air quantity. (C) 2012 Elsevier B.V. All rights reserved.X1179sciescopu
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