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2,675 results on '"Wang, Shasha"'

1. B\'{a}cklund-Darboux transformations for super KdV type equations

Author

Xue, Lingling, Wang, Shasha, and Liu, Q. P.

Subjects
Nonlinear Sciences - Exactly Solvable and Integrable Systems
Abstract

By introducing a Miura transformation, we derive a generalized super modified Korteweg-de Vries (gsmKdV) equation from the generalized super KdV (gsKdV) equation. It is demonstrated that, while the gsKdV equation takes Kupershmidt's super KdV (sKdV) equation and Geng-Wu's sKdV equation as two distinct reductions, there are also two equations, namely Kupershmidt's super modified KdV (smKdV) equation and Hu's smKdV equation, which are associated with the gsmKdV equation. We then construct a number of B\"{a}cklund-Darboux transformations (BDTs) for both the gsKdV and gsmKdV equations, elucidating the interrelationship between them. By proper reductions, we are able to not only recover the previously known BDTs for Kupershimdt's sKdV and smKdV equations, but also to obtain the BDTs for the Geng-Wu's sKdV/smKdV and Hu's smKdV equations. As applications, we construct some exact solutions for those equations., Comment: 22 pages

Published
2024

2. Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models

Author

Shi, Yuyan, Ma, Jialu, Yang, Jin, Wang, Shasha, and Zhang, Yichi

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Medical image segmentation plays an important role in many image-guided clinical approaches. However, existing segmentation algorithms mostly rely on the availability of fully annotated images with pixel-wise annotations for training, which can be both labor-intensive and expertise-demanding, especially in the medical imaging domain where only experts can provide reliable and accurate annotations. To alleviate this challenge, there has been a growing focus on developing segmentation methods that can train deep models with weak annotations, such as image-level, bounding boxes, scribbles, and points. The emergence of vision foundation models, notably the Segment Anything Model (SAM), has introduced innovative capabilities for segmentation tasks using weak annotations for promptable segmentation enabled by large-scale pre-training. Adopting foundation models together with traditional learning methods has increasingly gained recent interest research community and shown potential for real-world applications. In this paper, we present a comprehensive survey of recent progress on annotation-efficient learning for medical image segmentation utilizing weak annotations before and in the era of foundation models. Furthermore, we analyze and discuss several challenges of existing approaches, which we believe will provide valuable guidance for shaping the trajectory of foundational models to further advance the field of medical image segmentation.

Published
2024

3. Achieving High Yield of Perpendicular SOT-MTJ Manufactured on 300 mm Wafers

Author

Yang, Wenlong, Ji, Zhenghui, Gao, Yang, Zhou, Kaiyuan, Guo, Qijun, Zeng, Dinggui, Wang, Shasha, Wang, Ming, Shen, Lijie, Chen, Guilin, Sun, Yihui, Liu, Enlong, and He, Shikun

Subjects
Physics - Applied Physics, J.2.6
Abstract

The large-scale fabrication of three-terminal magnetic tunnel junctions (MTJs) with high yield is becoming increasingly crucial, especially with the growing interest in spin-orbit torque (SOT) magnetic random access memory (MRAM) as the next generation of MRAM technology. To achieve high yield and consistent device performance in MTJs with perpendicular magnetic anisotropy, an integration flow has been developed that incorporates special MTJ etching technique and other CMOS-compatible processes on a 300 mm wafer manufacturing platform. Systematic studies have been conducted on device performance and statistical uniformity, encompassing magnetic properties, electrical switching behavior, and reliability. Achievements include a switching current of 680 uA at 2 ns, a TMR as high as 119%, ultra-high endurance (over 1012 cycles), and excellent uniformity in the fabricated SOT-MTJ devices, with a yield of up to 99.6%. The proposed integration process, featuring high yield, is anticipated to streamline the mass production of SOT-MRAM., Comment: 8 pages, 5 figures

Published
2024

17. Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation

Author

Shi, Yuyan, Zhang, Yichi, and Wang, Shasha

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Semi-supervised learning has greatly advanced medical image segmentation since it effectively alleviates the need of acquiring abundant annotations from experts and utilizes unlabeled data which is much easier to acquire. Among existing perturbed consistency learning methods, mean-teacher model serves as a standard baseline for semi-supervised medical image segmentation. In this paper, we present a simple yet efficient competitive ensembling teacher student framework for semi-supervised for left atrium segmentation from 3D MR images, in which two student models with different task-level disturbances are introduced to learn mutually, while a competitive ensembling strategy is performed to ensemble more reliable information to teacher model. Different from the one-way transfer between teacher and student models, our framework facilitates the collaborative learning procedure of different student models with the guidance of teacher model and motivates different training networks for a competitive learning and ensembling procedure to achieve better performance. We evaluate our proposed method on the public Left Atrium (LA) dataset and it obtains impressive performance gains by exploiting the unlabeled data effectively and outperforms several existing semi-supervised methods., Comment: Accepeted for BIBM 2023

Published
2023

26. Effect of Infusion Set Replacement Intervals on Central Line-Associated Bloodstream Infection in the Intensive Care Unit: Study Protocol of the INSPIRATION Study

Author

Xu, Dandan, Hu, Chang, Xiong, Jie, Huang, Haiyan, Wang, Shasha, Ding, Xinbo, Zhou, Junying, Deng, Juan, Guo, Chunling, Li, Miqi, You, Ting, Cheng, Wei, Li, Bo, Tang, Xiaoqin, Li, Xiaohong, Li, Hongmei, Li, Jin, Ma, Jing, Xiao, Meng, Fu, Xing, Li, Huilin, Peng, Zhiyong, Hu, Bo, and Hu, Fen

Published
2024
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31. Effect of bufotalin on the proliferation, migration, invasion, and epithelial-mesenchymal transition of human colorectal cancer HCT116 cells

Author

WANG Yan, WANG Shasha, ZHU Chunyang, DONG Chen, WANG Rui, QIU Wensheng

Subjects
colorectal neoplasm, hct116 cells, bufanolides, cell proliferation, cell movement, neoplasm invasiveness, epithelial-mesenchymal transition, Medicine
Abstract

Objective To investigate the effect of different concentrations of bufotalin (BT) on the proliferation, migration, invasion, and epithelial-mesenchymal transition of human colorectal cancer HCT116 cells. Methods CCK-8 assay was used to measure cell viability after 24 and 48 h of BT treatment at different concentrations (0, 10, 20, 40, 80, 160, and 320 nmol/L), and the half-maximal inhibitory concentration (IC50) was calculated. The plate colony formation assay was used to verify the effect of BT treatment at the concentrations of 0, 12.5, and 25.0 nmol/L for 14 days on the colony formation ability of HCT116 cells (established as groups A, B, and C). The wound healing assay and the Transwell assay were used to verify the effect of BT treatment at the concentrations of 0, 25, and 50 nmol/L for 24 h on the migration and invasion abilities of HCT116 cells (established as groups A, C, and D). Western blot was used to measure the protein expression levels of E-cadherin and N-cadherin in HCT116 cells after 24 h of treatment in groups A, C and D. Results CCK-8 assay showed that after HCT116 cells were treated by BT for 24 or 48 h, the inhibitory effect of BT on the proliferation of HCT116 cells increased significantly with the increase in the concentration of BT (F=2 106.00,3 725.00,P

Published
2024
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