72 research outputs found

    Spin-flip phenomena at the Co|graphene|Co interfaces

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/98663/1/ApplPhysLett_98_133111.pd

    A Low Energy Intelligent Clustering Protocol for Wireless Sensor Network

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    Glycated Haemoglobin A1c Variability Score Elicits Kidney Function Decline in Chinese People Living with Type 2 Diabetes

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    Our aim was to investigate the association of glycated haemoglobin A1c (HbA1c) variability score (HVS) with estimated glomerular filtration rate (eGFR) slope in Chinese adults living with type 2 diabetes. This cohort study included adults with type 2 diabetes attending outpatient clinics between 2011 and 2019 from a large electronic medical record-based database of diabetes in China (WECODe). We estimated the individual-level visit-to-visit HbA1c variability using HVS, a proportion of changes in HbA1c of ≥0.5% (5.5 mmol/mol). We estimated the odds of people experiencing a rapid eGFR annual decline using a logistic regression and differences across HVS categories in the mean eGFR slope using a mixed-effect model. The analysis involved 2397 individuals and a median follow-up of 4.7 years. Compared with people with HVS ≤ 20%, those with HVS of 60% to 80% had 11% higher odds of experiencing rapid eGFR annual decline, with an extra eGFR decline of 0.93 mL/min/1.73 m(2) per year on average; those with HVS > 80% showed 26% higher odds of experiencing a rapid eGFR annual decline, with an extra decline of 1.83 mL/min/1.73 m(2) per year on average. Chinese adults with type 2 diabetes and HVS > 60% could experience a more rapid eGFR decline

    Towards prediction of ordered phases in rechargeable battery chemistry via group–subgroup transformation

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    Abstract: The electrochemical thermodynamic and kinetic characteristics of rechargeable batteries are critically influenced by the ordering of mobile ions in electrodes or solid electrolytes. However, because of the experimental difficulty of capturing the lighter migration ion coupled with the theoretical limitation of searching for ordered phases in a constrained cell, predicting stable ordered phases involving cell transformations or at extremely dilute concentrations remains challenging. Here, a group-subgroup transformation method based on lattice transformation and Wyckoff-position splitting is employed to predict the ordered ground states. We reproduce the previously reported Li0.75CoO2, Li0.8333CoO2, and Li0.8571CoO2 phases and report a new Li0.875CoO2 ground state. Taking the advantage of Wyckoff-position splitting in reducing the number of configurations, we identify the stablest Li0.0625C6 dilute phase in Li-ion intercalated graphite. We also resolve the Li/La/vacancy ordering in Li3xLa2/3−xTiO3 (0 < x < 0.167), which explains the observed Li-ion diffusion anisotropy. These findings provide important insight towards understanding the rechargeable battery chemistry

    First Principles Study of Double Boron Atoms Supported on Graphitic Carbon Nitride (g-C3N4) for Nitrogen Electroreduction

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    Electrocatalytic reduction of N2 provides a clean, sustainable way for NH3 production. Efficient catalysts thus play a key role but remain a long-term challenge. In this study, the catalytic activity of double boron supported on graphitic carbon nitride (g-C3N4) for a N2 reduction reaction (NRR) is explored by density functional theory (DFT) calculations. Our results show that double boron atoms embedded in g-C3N4 with coordination of four N atoms and two boron atoms exhibits an excellent NRR performance with negligible energy consumption for adding hydrogen to *N2, while a moderate &Delta;G of 0.58 eV for the formation of the second NH3 suggests this catalyst is a potential candidate for N2 fixation

    Theoretical Screening of Single-Atom-Embedded MoSSe Nanosheets for Electrocatalytic N-2 Fixation

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    Theoretical Screening of Single-Atom-Embedded MoSSe Nanosheets for Electrocatalytic N-2 Fixatio
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