10 research outputs found

    Effect of different blood pressure levels on short-term outcomes in hospitalized heart failure patients

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    Background: To investigate the influence of blood pressure (BP) level on short-term prognosis of heart failure (HF), the effect of the BP level on clinical end point events 3 months after discharge was observed. Methods: A retrospective cohort study was performed on 1492 hospitalized HF patients. All patients were divided according to systolic blood pressure (SBP) per 20 mmHg and diastolic blood pressure (DBP) per 10 mmHg. Logistic regression analysis was used to analyze the relationship between BP level and heart failure rehospitalization, cardiac death, all-cause death and a composite end point of heart failure rehospitalization/all-cause death at 3 month follow-up after discharge. Results: After multivariable adjustment, the relationship between SBP and DBP levels and outcomes followed an inverted J curve relationship. Compared with the reference group (110 150 mmHg significantly increased the risk of heart failure rehospitalization (OR 2.67, 95%CI 1.15–6.18, P = 0.022). Compared with.the reference group (65  0.05). Conclusions: There is a significant difference in the short-term prognosis 3 months after discharge in HF patients with different BP levels at discharge. There was an inverted J curve relationship between BP levels and prognosis

    The effects of flipped classrooms on undergraduate pharmaceutical marketing learning: A clustered randomized controlled study.

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    BackgroundRecently, flipped classrooms (FCs) have gradually been used in Chinese higher education settings. However, few studies have focused on the effects of FCs on interdisciplinary curricula. The purpose of this study was to examine the impact of an FC on the engagement, performance, and perceptions of students and on teacher-student interaction in a pharmaceutical marketing course.DesignA clustered randomized controlled study was conducted, with 137 junior-year pharmacy undergraduates using an FC serving as the intervention group, in contrast to students using lecture-based learning (LBL) as the control group. Flanders' interaction analysis system (FIAS) was used to measure teacher-student interaction, and questionnaires regarding attitudes toward and satisfaction with the teaching model were administered.ResultsThe students in the FC group scored significantly higher than those in the LBL group (88.21±5.95 vs. 80.05±5.59, t = -8.08, p = 0.000) on pharmaceutical marketing. The multiple linear regression results showed that the FC model had a significant impact on student performance (β = 8.16, pConclusionCompared with LBL methods, implementing the FC model improved student performance, increased teacher-student interaction and generated positive student attitudes toward the experience. As an effective pedagogical model, it can also stimulate pharmacy students' learning interest and improve their self-learning abilities

    Localized Lifetime Control of 10 kV 4H-SiC PiN Diodes by MeV Proton Implantation

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    In this paper, proton implantation with different combinations of MeV energies and doses from 2x109 to 1x1011 cm-2 is used to create defects in the drift region of 10 kV 4H-SiC PiN diodes to obtain a localized drop in the SRH lifetime. On-state and reverse recovery behaviors are measured to observe how MeV proton implantation influences these devices and values of reverse recovery charge Qrr are extracted. These measurements are carried out under different temperatures, showing that the reverse recovery behavior is sensitive to temperature due to the activation of incompletely ionized p-type acceptors. The results also show that increasing proton implantation energies and fluencies can have a strong effect on diodes and cause lower Qrr and switching losses, but also higher on-state voltage drop and forward conduction losses. The trade-off between static and dynamic performance is evaluated using Qrr and forward voltage drop. Higher fluencies, or energies, help to improve the turn-off performance, but at a cost of the static performance

    14C AMS Dating the Transition from the Paleolithic to the Neolithic in South China

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    To study the transition from the Paleolithic to the Neolithic period and its duration, samples of charcoal, bone, flowstone and shells excavated from Bailiandong and Miaoyan caves, Guangxi Zhuang autonomous region, South China were dated using the Peking University AMS facility and liquid scintillation counter. The remains excavated from these sites show typical characteristics of the transition from the Paleolithic to the Neolithic. Radiocarbon dating results show a rapid transition from ca. 20 to 10 ka BP.This material was digitized as part of a cooperative project between Radiocarbon and the University of Arizona Libraries.The Radiocarbon archives are made available by Radiocarbon and the University of Arizona Libraries. Contact [email protected] for further information.Migrated from OJS platform February 202

    NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

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    This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-resolve an input image with a magnification factor of ×\times4 based on pairs of low and corresponding high resolution images. The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29.00dB on DIV2K validation set. IMDN is set as the baseline for efficiency measurement. The challenge had 3 tracks including the main track (runtime), sub-track one (model complexity), and sub-track two (overall performance). In the main track, the practical runtime performance of the submissions was evaluated. The rank of the teams were determined directly by the absolute value of the average runtime on the validation set and test set. In sub-track one, the number of parameters and FLOPs were considered. And the individual rankings of the two metrics were summed up to determine a final ranking in this track. In sub-track two, all of the five metrics mentioned in the description of the challenge including runtime, parameter count, FLOPs, activations, and memory consumption were considered. Similar to sub-track one, the rankings of five metrics were summed up to determine a final ranking. The challenge had 303 registered participants, and 43 teams made valid submissions. They gauge the state-of-the-art in efficient single image super-resolution.Comment: Validation code of the baseline model is available at https://github.com/ofsoundof/IMDN. Validation of all submitted models is available at https://github.com/ofsoundof/NTIRE2022_ES
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