13,279 research outputs found
Correction: Novel azobenzene-based amphiphilic copolymers: synthesis, self-assembly behavior and multiple-stimuli-responsive properties
No full textCorrection for ‘Novel azobenzene-based amphiphilic copolymers: synthesis, self-assembly behavior and multiple-stimuli-responsive properties’ by Yiting Xu et al., RSC Adv., 2018, 8, 16103–16113.</p
Supplementary_information - Preparation of graphene/polyaniline nanocomposite by in situ intercalation polymerization and their application in anti-corrosion coatings
No full textSupplementary_information for Preparation of graphene/polyaniline nanocomposite by in situ intercalation polymerization and their application in anti-corrosion coatings by Yiyi Li, Yiting Xu, Shicheng Wang, Hongchao Wang, Meng Li and Lizong Dai in High Performance Polymers</p
Appendix_3 – Supplemental material for Income-Based Disparities in Financial Burdens of Medical Spending Under the Affordable Care Act in Families With Individuals Having Chronic Conditions
No full textSupplemental material, Appendix_3 for Income-Based Disparities in Financial Burdens of Medical Spending Under the Affordable Care Act in Families With Individuals Having Chronic Conditions by Wendy Yi Xu, Sheldon M. Retchin, Eric E. Seiber and Yiting Li in INQUIRY: The Journal of Health Care Organization, Provision, and Financing</p
Appendix_2 – Supplemental material for Income-Based Disparities in Financial Burdens of Medical Spending Under the Affordable Care Act in Families With Individuals Having Chronic Conditions
No full textSupplemental material, Appendix_2 for Income-Based Disparities in Financial Burdens of Medical Spending Under the Affordable Care Act in Families With Individuals Having Chronic Conditions by Wendy Yi Xu, Sheldon M. Retchin, Eric E. Seiber and Yiting Li in INQUIRY: The Journal of Health Care Organization, Provision, and Financing</p
Appendix_1 – Supplemental material for Income-Based Disparities in Financial Burdens of Medical Spending Under the Affordable Care Act in Families With Individuals Having Chronic Conditions
No full textSupplemental material, Appendix_1 for Income-Based Disparities in Financial Burdens of Medical Spending Under the Affordable Care Act in Families With Individuals Having Chronic Conditions by Wendy Yi Xu, Sheldon M. Retchin, Eric E. Seiber and Yiting Li in INQUIRY: The Journal of Health Care Organization, Provision, and Financing</p
Supplementary_Figure_1_ – Supplemental material for Altered social cognition and connectivity of default mode networks in the co-occurrence of autistic spectrum disorder and attention deficit hyperactivity disorder
No full textSupplemental material, Supplementary_Figure_1_ for Altered social cognition and connectivity of default mode networks in the co-occurrence of autistic spectrum disorder and attention deficit hyperactivity disorder by Kai Wang, Mingyu Xu, Yiting Ji, Lingli Zhang, Xiujuan Du, Jijun Li, Qiang Luo and Fei Li in Australian & New Zealand Journal of Psychiatry</p
Supplementary_Figure_2 – Supplemental material for Altered social cognition and connectivity of default mode networks in the co-occurrence of autistic spectrum disorder and attention deficit hyperactivity disorder
No full textSupplemental material, Supplementary_Figure_2 for Altered social cognition and connectivity of default mode networks in the co-occurrence of autistic spectrum disorder and attention deficit hyperactivity disorder by Kai Wang, Mingyu Xu, Yiting Ji, Lingli Zhang, Xiujuan Du, Jijun Li, Qiang Luo and Fei Li in Australian & New Zealand Journal of Psychiatry</p
Supplementary_Figure_3 – Supplemental material for Altered social cognition and connectivity of default mode networks in the co-occurrence of autistic spectrum disorder and attention deficit hyperactivity disorder
No full textSupplemental material, Supplementary_Figure_3 for Altered social cognition and connectivity of default mode networks in the co-occurrence of autistic spectrum disorder and attention deficit hyperactivity disorder by Kai Wang, Mingyu Xu, Yiting Ji, Lingli Zhang, Xiujuan Du, Jijun Li, Qiang Luo and Fei Li in Australian & New Zealand Journal of Psychiatry</p
ANP836031_Supplementary_Materials – Supplemental material for Altered social cognition and connectivity of default mode networks in the co-occurrence of autistic spectrum disorder and attention deficit hyperactivity disorder
No full textSupplemental material, ANP836031_Supplementary_Materials for Altered social cognition and connectivity of default mode networks in the co-occurrence of autistic spectrum disorder and attention deficit hyperactivity disorder by Kai Wang, Mingyu Xu, Yiting Ji, Lingli Zhang, Xiujuan Du, Jijun Li, Qiang Luo and Fei Li in Australian & New Zealand Journal of Psychiatry</p
A mixed attention-gated U-Net for continuous cuffless blood pressure estimation
No full textBlood pressure (BP) is an important vital sign of the human body. The traditional cuff measurement methods are mainly intermittent, which cannot meet the clinical practice well. Continuous measurements of BP are of great significance for monitoring vital signs of patients. In order to achieve BP estimation in a continuous, cuffless and non-invasive way, this paper proposes a BP estimation model based on mixed attention gating U-Net (MAGU), which can effectively improve the accuracy and efficiency of BP estimation. The photoplethysmography signal is fed into the improved U-Net to extract features. A mixed attention gating mechanism is added between up-sampling and down-sampling, as well as the residual blocks are added in down-sampling to prevent the vanishing gradient, so as to improve the feature extraction efficiency in the deep network. The performance of the MAGU is validated against those state-of-the-art results on the MIMIC-II public dataset. The mean absolute error and standard deviation of systolic blood pressure predicted by the proposed method are 3.49 mmHg and 4.13 mmHg respectively, and those of diastolic blood pressure (DBP) are 2.11 mmHg and 2.49 mmHg. The comparison shows that the proposed method outperforms those state-of-the-art methods
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