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Articles by Weiwei Pan
Attitudes and Experiences of Patients Diagnosed With Ovarian Cancer During Chemotherapy: A Qualitative Systematic Review
Objective To systematically integrate the changes in treatment experience and roles of patients diagnosed with ovarian cancer during chemotherapy and provide effective coping strategies for their nursing. Methods Qualitative studies on the attitudes and experiences of ovarian cancer patients during chemotherapy were searched from CNKI, Wanfang, VIP Database, CBM, PubMed, Embase, Cochrane Library, and Web of Science databases from the establishment of the database to July 31, 2025.
Preference-based assistance optimization for lifting and lowering with a soft back exosuit
[2410.23880] Directly Optimizing Explanations for Desired Properties
arXiv:2410.23880 (cs) View PDF HTML (experimental) Subjects: Machine Learning (cs.LG) Cite as: arXiv:2410.23880 [cs.LG] (or arXiv:2410.23880v1 [cs.LG] for this version) https://doi.org/10.48550/arXiv.2410.23880 Submission history From: Weiwei Pan [ view email] [v1] Thu, 31 Oct 2024 12:40:38 UTC (9,665 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?)...
Ultra-compact SOI-based higher-order mode pass wavelength demultiplexer
We propose an ultra-compact mode filtering wavelength demultiplexer design with a footprint of $3\; \unicode{x00B5}\mathrm{m}\times 3\; \unicode{x00B5}\mathrm{m}$. Our device can route input ${\rm TE}_{1}$ mode signals at 1310 nm and 1550 nm to different output ports while simultaneously blocking fundamental transverse electric (${\rm TE}_{0}$) mode input.
HubbardNet: Efficient predictions of the Bose-Hubbard model spectrum with deep neural networks
We present a deep neural network (DNN) -based model (HubbardNet) to variationally find the ground-state and excited-state wave functions of the one-dimensional and two-dimensional Bose-Hubbard model. Using this model for a square lattice with M sites, we obtain the energy spectrum as an analytical function of the on-site Coulomb repulsion, U, and the total number of particles, N, from a single training.
Risk evaluation and management mechanism of green electricity market based on multi-dimensional cloud model
1Zhejiang Power Exchange Center Co., Ltd., Hangzhou, China 2College of Electrical Engineering, Zhejiang University, Hangzhou, China In the process of continuous promotion in the green electricity market, various risks have emerged due to the inherent uncertainty and complex trading environment of the market. Evaluating and controlling the risks through a multi-dimensional evaluation is crucial for the smooth and healthy development of the green electricity market.
Dissipative soliton generation from a large anomalous dispersion ytterbium-doped fiber laser
Jiaqi Zhou, Weiao Qi, Weiwei Pan, and Yan Feng Author Affiliations Jiaqi Zhou,1,* Weiao Qi,1,2 Weiwei Pan,1,2 and Yan Feng1,2,3 1Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, and Shanghai Key Laboratory of Solid-State Laser and Application, Shanghai 201800, China 2Center of Materials Science and Optoelectronics Engineering, University of the Chinese Academy of Sciences, Beijing 100049, China 3Hangzhou Institute for Advanced Study, University of Chinese Academy...
Ensembles of Locally Independent Prediction Models
1 Introduction An ensemble is generally more accurate than its constituent models. However, for this to hold true, those models must make different errors on unseen data [9, 7]. This is often described as the ensemble’s “diversity.” Despite diversity’s well-recognized importance, there is no firm consensus on how best to foster it.
More than 200  W random Raman fiber laser with ultra-short cavity length based on phosphosilicate fiber
Jinyan Dong, Lei Zhang, Jiaqi Zhou, Weiwei Pan, Xijia Gu, and Yan Feng Author Affiliations Jinyan Dong,1,2 Lei Zhang,1,4 Jiaqi Zhou,1 Weiwei Pan,1,2 Xijia Gu,3 and Yan Feng1,* 1Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, and Shanghai Key Laboratory of Solid State Laser and Application, Shanghai 201800, China 2Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China 3Department of Electrical...
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