2,159 research outputs found
sj-docx-1-jht-10.1177_10963480231199990 – Supplemental material for Physiological Measurements in Hospitality and Tourism Research: A Systematic Review and New Theoretical Directions
Supplemental material, sj-docx-1-jht-10.1177_10963480231199990 for Physiological Measurements in Hospitality and Tourism Research: A Systematic Review and New Theoretical Directions by Gabby Walters, Yawei Jiang and Shanshi Li in Journal of Hospitality & Tourism Research</p
Supplemental Material - Study on preparation and performance of sulfonated polyaryl ether nitrile@Im-MOF-801(SPEN@Im-MOF-801)composite proton exchange membrane
Supplemental Material for Study on preparation and performance of sulfonated polyaryl ether nitrile@Im-MOF-801(SPEN@Im-MOF-801)composite proton exchange membrane by Yawei Meng, Jichang Sun, Zekun Li and Quanyi Liu in High Performance Polymers</p
Supplemental Material - The association between preoperative blood calcium and postoperative blood loss in patients undergoing heart valve replacement surgery
Supplementary Material for The association between preoperative blood calcium and postoperative blood loss in patients undergoing heart valve replacement surgery by Mingke Li, Yawei Dai, Shuai Hu, Yansong Li, Dasheng Lu, Rui Zheng, and Kai Wang in Perfusion.</p
Zhongguo 2 xing tang niao bing ren shi wang mo xin xi he xin xue guan ji bing de guan xi
Guo, Yawei.Thesis Ph.D. Chinese University of Hong Kong 2014.Includes bibliographical references (leaves 210-229).Abstracts also in Chinese.Title from PDF title page (viewed on 16, December, 2016).Guo, Yawei
Learning continuous piecewise non-linear activation functions for deep neural networks
Activation functions provide the non-linearity to deep neural networks, which are crucial for the optimization and performance improvement. In this paper, we propose a learnable continuous piece-wise nonlinear activation function (or CPN in short), which improves the widely used ReLU from three directions, i.e., finer pieces, non-linear terms and learnable parameterization. CPN is a continuous activation function with multiple pieces and incorporates non-linear terms in every interval. We give a general formulation of CPN and provide different implementations according to three key factors: whether the activation space is divided uniformly or not, whether the non-linear terms exist or not, and whether the activation function is continuous or not. We demonstrate the effectiveness of our method on image classification and single image super-resolution tasks by simply changing the activation function. For example, CPN improves 4.78% / 4.52% top-1 accuracy over ReLU on MobileNetV2_0.25 / MobileNetV2_0.35 for ImageNet classification and achieves better PSNR on several benchmarks for super-resolution. Our implementation is available at https: //github.com/xc-G/CPN
sj-xls-3-tam-10.1177_17588359211070643 – Supplemental material for Mutational landscape of circulating tumor DNA identifies distinct molecular features associated with therapeutic response in patients with metastatic colorectal cancer
sj-xls-3-tam-10.1177_17588359211070643 for Mutational landscape of circulating tumor DNA identifies distinct molecular features associated with therapeutic response in patients with metastatic colorectal cancer by Min Shi, Hong Yuan, Jun Ji, Shouwei Zhang, Qingyuan Li, Yawei Chen, Xiaoli Gong, Zhenggang Zhu and Jun Zhang in Therapeutic Advances in Medical Oncology</p
A Torque Ripple Reduction Method for the Synchronous Reluctance Machines With Mirror Asymmetric Rotor Laminations
The synchronous reluctance motor (SynRM) possesses a simple structure and low cost. However, its application is hindered by high-torque ripple. Traditional asymmetric designs can effectively suppress torque ripple. However, it often exhibits poor performance during reverse rotation and lacks theoretical guidance. In this article, an analytical model is developed to establish the relationship between torque and flux barrier end angles. A novel technique is then proposed to mitigate the torque ripple of the SynRM by introducing mirror asymmetric rotor laminations. These laminations feature asymmetrically designed flux barriers in one pole and periodically symmetric ones in the adjacent pole, arranged in a mirrored stacking configuration. The proposed technique is implemented in practical machines, and the effectiveness of the proposed method is validated through experimental tests
sj-xls-1-tam-10.1177_17588359211070643 – Supplemental material for Mutational landscape of circulating tumor DNA identifies distinct molecular features associated with therapeutic response in patients with metastatic colorectal cancer
sj-xls-1-tam-10.1177_17588359211070643 for Mutational landscape of circulating tumor DNA identifies distinct molecular features associated with therapeutic response in patients with metastatic colorectal cancer by Min Shi, Hong Yuan, Jun Ji, Shouwei Zhang, Qingyuan Li, Yawei Chen, Xiaoli Gong, Zhenggang Zhu and Jun Zhang in Therapeutic Advances in Medical Oncology</p
sj-xls-2-tam-10.1177_17588359211070643 – Supplemental material for Mutational landscape of circulating tumor DNA identifies distinct molecular features associated with therapeutic response in patients with metastatic colorectal cancer
sj-xls-2-tam-10.1177_17588359211070643 for Mutational landscape of circulating tumor DNA identifies distinct molecular features associated with therapeutic response in patients with metastatic colorectal cancer by Min Shi, Hong Yuan, Jun Ji, Shouwei Zhang, Qingyuan Li, Yawei Chen, Xiaoli Gong, Zhenggang Zhu and Jun Zhang in Therapeutic Advances in Medical Oncology</p
sj-xls-4-tam-10.1177_17588359211070643 – Supplemental material for Mutational landscape of circulating tumor DNA identifies distinct molecular features associated with therapeutic response in patients with metastatic colorectal cancer
sj-xls-4-tam-10.1177_17588359211070643 for Mutational landscape of circulating tumor DNA identifies distinct molecular features associated with therapeutic response in patients with metastatic colorectal cancer by Min Shi, Hong Yuan, Jun Ji, Shouwei Zhang, Qingyuan Li, Yawei Chen, Xiaoli Gong, Zhenggang Zhu and Jun Zhang in Therapeutic Advances in Medical Oncology</p
- …
