2,232 results on '"Wang, Zhou"'
Search Results
2. Exploring New Physics with PandaX-4T Low Energy Electronic Recoil Data
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PandaX Collaboration, Zeng, Xinning, Bo, Zihao, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Gao, Zhixing, Geng, Lisheng, Giboni, Karl, Guo, Xunan, Guo, Xuyuan, Guo, Zichao, Han, Chencheng, He, Ke HanChangda, He, Jinrong, Huang, Di, Huang, Houqi, Huang, Junting, Hou, Ruquan, Hou, Yu, Ji, Xiangdong, Ji, Xiangpan, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shuaijie, Li, Tao, Li, Zhiyuan, Lin, Qing, Liu, Jianglai, Lu, Congcong, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Ning, Xuyang, Pang, Binyu, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shan, Dong, Shang, Xiaofeng, Shao, Xiyuan, Shen, Guofang, Shen, Manbin, Sun, Wenliang, Tao, Yi, Wang, Anqing, Wang, Guanbo, Wang, Hao, Wang, Jiamin, Wang, Lei, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Xu, Wang, Zhou, Wei, Yuehuan, Wu, Weihao, Wu, Yuan, Xiao, Mengjiao, Xiao, Xiang, Xiong, Kaizhi, Xu, Yifan, Yao, Shunyu, Yan, Binbin, Yan, Xiyu, Yang, Yong, Ye, Peihua, Yu, Chunxu, Yuan, Ying, Yuan, Zhe, Yun, Youhui, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Wei, Zhang, Yang, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zhou, Jifang, Zhou, Jiaxu, Zhou, Jiayi, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yubo, and Zhou, Zhizhen
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High Energy Physics - Experiment - Abstract
New particles beyond the Standard Model of particle physics, such as axions, can be effectively searched through their interactions with electrons. We use the large liquid xenon detector PandaX-4T to search for novel electronic recoil signals induced by solar axions, neutrinos with anomalous magnetic moment, axion-like particles, dark photons, and light fermionic dark matter. A detailed background model is established with the latest datasets with 1.54 $\rm tonne \cdot year$ exposure. No significant excess above the background has been observed, and we have obtained competitive constraints for axion couplings, neutrino magnetic moment, and fermionic dark matter interactions.
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- 2024
3. Dark Matter Search Results from 1.54 Tonne$\cdot$Year Exposure of PandaX-4T
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PandaX Collaboration, Bo, Zihao, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Gao, Zhixing, Geng, Lisheng, Giboni, Karl, Guo, Xunan, Guo, Xuyuan, Guo, Zichao, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Houqi, Huang, Junting, Hou, Ruquan, Hou, Yu, Ji, Xiangdong, Ji, Xiangpan, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shuaijie, Li, Tao, Li, Zhiyuan, Lin, Qing, Liu, Jianglai, Lu, Congcong, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Ning, Xuyang, Pang, Binyu, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shan, Dong, Shang, Xiaofeng, Shao, Xiyuan, Shen, Guofang, Shen, Manbin, Sun, Wenliang, Tao, Yi, Wang, Anqing, Wang, Guanbo, Wang, Hao, Wang, Jiamin, Wang, Lei, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Xu, Wang, Zhou, Wei, Yuehuan, Wu, Weihao, Wu, Yuan, Xiao, Mengjiao, Xiao, Xiang, Xiong, Kaizhi, Xu, Yifan, Yao, Shunyu, Yan, Binbin, Yan, Xiyu, Yang, Yong, Ye, Peihua, Yu, Chunxu, Yuan, Ying, Yuan, Zhe, Yun, Youhui, Zeng, Xinning, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Wei, Zhang, Yang, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zhou, Jifang, Zhou, Jiaxu, Zhou, Jiayi, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yubo, and Zhou, Zhizhen
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High Energy Physics - Experiment - Abstract
In this letter, we report the dark matter search results from the commissioning run and the first science run of the PandaX-4T experiment. A blind analysis is carried out on the entire data set. The data processing is improved compared to previous work, unifying the low-level signal reconstruction in a wide energy range up to 120 keV. With a total exposure of 1.54 tonne$\cdot$year, no significant excess of nuclear recoil events is found. The lowest 90% confidence level exclusion on the spin-independent cross section is $1.6 \times 10^{-47} \mathrm{cm}^2$ at a dark matter mass of 40 GeV$/c^2$. Our results represent the most stringent constraint for a dark matter mass above 100 GeV$/c^2$.
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- 2024
4. First Measurement of Solar $^8$B Neutrino Flux through Coherent Elastic Neutrino-Nucleus Scattering in PandaX-4T
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PandaX Collaboration, Bo, Zihao, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Gao, Zhixing, Geng, Lisheng, Giboni, Karl, Guo, Xunan, Guo, Xuyuan, Guo, Zichao, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Houqi, Huang, Junting, Hou, Ruquan, Hou, Yu, Ji, Xiangdong, Ji, Xiangpan, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shuaijie, Li, Tao, Li, Zhiyuan, Lin, Qing, Liu, Jianglai, Lu, Congcong, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Ning, Xuyang, Pang, Binyu, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shan, Dong, Shang, Xiaofeng, Shao, Xiyuan, Shen, Guofang, Shen, Manbin, Sun, Wenliang, Tao, Yi, Wang, Anqing, Wang, Guanbo, Wang, Hao, Wang, Jiamin, Wang, Lei, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Xu, Wang, Zhou, Wei, Yuehuan, Wu, Weihao, Wu, Yuan, Xiao, Mengjiao, Xiao, Xiang, Xiong, Kaizhi, Xu, Yifan, Yao, Shunyu, Yan, Binbin, Yan, Xiyu, Yang, Yong, Ye, Peihua, Yu, Chunxu, Yuan, Ying, Yuan, Zhe, Yun, Youhui, Zeng, Xinning, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Wei, Zhang, Yang, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zhou, Jifang, Zhou, Jiaxu, Zhou, Jiayi, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yubo, and Zhou, Zhizhen
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High Energy Physics - Experiment ,Astrophysics - Solar and Stellar Astrophysics ,Nuclear Experiment - Abstract
The PandaX-4T liquid xenon detector at the China Jinping Underground Laboratory is used to measure the solar $^8$B neutrino flux by detecting neutrinos through coherent scattering with xenon nuclei. Data samples requiring the coincidence of scintillation and ionization signals (paired), as well as unpaired ionization-only signals (US2), are selected with energy threshold of approximately 1.1 keV (0.33 keV) nuclear recoil energy. Combining the commissioning run and the first science run of PandaX-4T, a total exposure of 1.25 and 1.04 tonne$\cdot$year are collected for the paired and US2, respectively. After unblinding, 3 and 332 events are observed with an expectation of 2.8$\pm$0.5 and 251$\pm$32 background events, for the paired and US2 data, respectively. A combined analysis yields a best-fit $^8$B neutrino signal of 3.5 (75) events from the paired (US2) data sample, with $\sim$37\% uncertainty, and the background-only hypothesis is disfavored at 2.64$\sigma$ significance. This gives a solar $^8$B neutrino flux of ($8.4\pm3.1$)$\times$10$^6$ cm$^{-2}$s$^{-1}$, consistent with the standard solar model prediction. This is the first indication of solar $^8$B neutrino ``fog'' in a dark matter direct detection experiment.
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- 2024
5. Large reversible magnetocaloric effect of the EuAl3Si single crystal
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Zeng, Hai, Zou, Shuo, Wang, Zhou, Li, Ziyu, Luo, Kangjian, and Luo, Yongkang
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Condensed Matter - Strongly Correlated Electrons - Abstract
The magnetic properties, magnetocaloric effect and magnetoresistance of EuAl3Si single crystal have been investigated. A giant reversible magnetocaloric effect was observed around TC = 14.5 K. For the low magnetic field changes of 0-2 T, the maximum values of magnetic entropy change and refrigerant capacity are 13.4 J/kg K, and 166 J/kg,respectively, with the corresponding adiabatic temperature of 7.2 K.These excellent magnetocaloric parameters suggest EuAl3Si as a promising candidate for magnetic refrigeration application around liquid hydrogen temperature.
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- 2024
6. Perceptual Crack Detection for Rendered 3D Textured Meshes
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Sarvestani, Armin Shafiee, Zhou, Wei, and Wang, Zhou
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Computational Geometry ,Computer Science - Multimedia - Abstract
Recent years have witnessed many advancements in the applications of 3D textured meshes. As the demand continues to rise, evaluating the perceptual quality of this new type of media content becomes crucial for quality assurance and optimization purposes. Different from traditional image quality assessment, crack is an annoying artifact specific to rendered 3D meshes that severely affects their perceptual quality. In this work, we make one of the first attempts to propose a novel Perceptual Crack Detection (PCD) method for detecting and localizing crack artifacts in rendered meshes. Specifically, motivated by the characteristics of the human visual system (HVS), we adopt contrast and Laplacian measurement modules to characterize crack artifacts and differentiate them from other undesired artifacts. Extensive experiments on large-scale public datasets of 3D textured meshes demonstrate effectiveness and efficiency of the proposed PCD method in correct localization and detection of crack artifacts. %Specifically, We propose a full-reference crack artifact localization method that operates on a pair of input snapshots of distorted and reference 3D objects to generate a final crack map. Moreover, to quantify the performance of the proposed detection method and validate its effectiveness, we propose a simple yet effective weighting mechanism to incorporate the resulting crack map into classical quality assessment (QA) models, which creates significant performance improvement in predicting the perceptual image quality when tested on public datasets of static 3D textured meshes. A software release of the proposed method is publicly available at: https://github.com/arshafiee/crack-detection-VVM, Comment: Accepted by IEEE QoMEX 2024
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- 2024
7. Efficient Online Set-valued Classification with Bandit Feedback
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Wang, Zhou and Qiao, Xingye
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Statistics - Machine Learning ,Computer Science - Machine Learning - Abstract
Conformal prediction is a distribution-free method that wraps a given machine learning model and returns a set of plausible labels that contain the true label with a prescribed coverage rate. In practice, the empirical coverage achieved highly relies on fully observed label information from data both in the training phase for model fitting and the calibration phase for quantile estimation. This dependency poses a challenge in the context of online learning with bandit feedback, where a learner only has access to the correctness of actions (i.e., pulled an arm) but not the full information of the true label. In particular, when the pulled arm is incorrect, the learner only knows that the pulled one is not the true class label, but does not know which label is true. Additionally, bandit feedback further results in a smaller labeled dataset for calibration, limited to instances with correct actions, thereby affecting the accuracy of quantile estimation. To address these limitations, we propose Bandit Class-specific Conformal Prediction (BCCP), offering coverage guarantees on a class-specific granularity. Using an unbiased estimation of an estimand involving the true label, BCCP trains the model and makes set-valued inferences through stochastic gradient descent. Our approach overcomes the challenges of sparsely labeled data in each iteration and generalizes the reliability and applicability of conformal prediction to online decision-making environments.
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- 2024
8. Generated Contents Enrichment
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Naseri, Mahdi, Qiu, Jiayan, and Wang, Zhou
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
In this paper, we investigate a novel artificial intelligence generation task, termed as generated contents enrichment (GCE). Different from conventional artificial intelligence contents generation task that enriches the given textual description implicitly with limited semantics for generating visually real content, our proposed GCE strives to perform content enrichment explicitly on both the visual and textual domain, from which the enriched contents are visually real, structurally reasonable, and semantically abundant. Towards to solve GCE, we propose a deep end-to-end method that explicitly explores the semantics and inter-semantic relationships during the enrichment. Specifically, we first model the input description as a semantic graph, wherein each node represents an object and each edge corresponds to the inter-object relationship. We then adopt Graph Convolutional Networks on top of the input scene description to predict the enriching objects and their relationships with the input objects. Finally, the enriched description is fed into an image synthesis model to carry out the visual contents generation. Our experiments conducted on the Visual Genome dataset exhibit promising and visually plausible results.
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- 2024
9. Search for cosmic-ray boosted sub-MeV dark matter-electron scatterings in PandaX-4T
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Shang, Xiaofeng, Abdukerim, Abdusalam, Bo, Zihao, Chen, Wei, Chen, Xun, Cheng, Chen, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Geng, Lisheng, Giboni, Karl, Guo, Xuyuan, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Junting, Huang, Zhou, Hou, Ruquan, Hou, Yu, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shuaijie, Li, Tao, Lin, Qing, Liu, Jianglai, Lu, Congcong, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Ning, Xuyang, Pang, Binyu, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shaheed, Nasir, Shao, Xiyuan, Shen, Guofang, Si, Lin, Sun, Wenliang, Tan, Andi, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Xu, Wang, Zhou, Wei, Yuehuan, Wu, Mengmeng, Wu, Weihao, Wu, Yuan, Xiao, Mengjiao, Xiao, Xiang, Yan, Binbin, Yan, Xiyu, Yang, Yong, Yu, Chunxu, Yuan, Ying, Yuan, Zhe, Yun, Youhui, Zeng, Xinning, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Wei, Zhang, Yang, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yong, Zhou, Yubo, Zhou, Zhizhen, Ge, Shao-Feng, and Xia, Chen
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High Energy Physics - Experiment ,High Energy Physics - Phenomenology - Abstract
We report the first search for the elastic scatterings between cosmic-ray boosted sub-MeV dark matter and electrons in the PandaX-4T liquid xenon experiment. Sub-MeV dark matter particles can be accelerated by scattering with electrons in the cosmic rays and produce detectable electron recoil signals in the detector. Using the commissioning data from PandaX-4T of 0.63~tonne$\cdot$year exposure, we set new constraints on DM-electron scattering cross sections for DM masses ranging from 10~eV/$c^2$ to 3~keV/$c^2$., Comment: 6 pages, 3 figures
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- 2024
10. Detecting Neutrinos from Supernova Bursts in PandaX-4T
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Pang, Binyu, Abdukerim, Abdusalam, Bo, Zihao, Chen, Wei, Chen, Xun, Cheng, Chen, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Fu, Changbo, Fu, Mengting, Geng, Lisheng, Giboni, Karl, Gu, Linhui, Guo, Xuyuan, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Yanlin, Huang, Junting, Huang, Zhou, Hou, Ruquan, Hou, Yu, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shuaijie, Li, Tao, Lin, Qing, Liu, Jianglai, Lu, Congcong, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Ning, Xuyang, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shaheed, Nasir, Shang, Xiaofeng, Shao, Xiyuan, Shen, Guofang, Si, Lin, Sun, Wenliang, Tan, Andi, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Zhou, Wei, Yuehuan, Wu, Mengmeng, Wu, Weihao, Xia, Jingkai, Xiao, Mengjiao, Xiao, Xiang, Xie, Pengwei, Yan, Binbin, Yan, Xiyu, Yang, Jijun, Yang, Yong, Yao, Yukun, Yu, Chunxu, Yuan, Ying, Yuan, Zhe, Zeng, Xinning, Zhang, Dan, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Wei, Zhang, Yang, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zheng, Qibin, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yong, and Zhou, Yubo
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High Energy Physics - Experiment ,Physics - Instrumentation and Detectors - Abstract
Neutrinos from core-collapse supernovae are essential for the understanding of neutrino physics and stellar evolution. The dual-phase xenon dark matter detectors can provide a way to track explosions of galactic supernovae by detecting neutrinos through coherent elastic neutrino-nucleus scatterings. In this study, a variation of progenitor masses as well as explosion models are assumed to predict the neutrino fluxes and spectra, which result in the number of expected neutrino events ranging from 6.6 to 13.7 at a distance of 10 kpc over a 10-second duration with negligible backgrounds at PandaX-4T. Two specialized triggering alarms for monitoring supernova burst neutrinos are built. The efficiency of detecting supernova explosions at various distances in the Milky Way is estimated. These alarms will be implemented in the real-time supernova monitoring system at PandaX-4T in the near future, providing the astronomical communities with supernova early warnings., Comment: 9 pages,6 figures
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- 2024
11. Signal Response Model in PandaX-4T
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Luo, Yunyang, Bo, Zihao, Zhang, Shibo, Abdukerim, Abdusalam, Cheng, Chen, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Fu, Changbo, Fu, Mengting, Geng, Lisheng, Giboni, Karl, Gu, Linhui, Guo, Xuyuan, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Yanlin, Huang, Zhou, Hou, Ruquan, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shu, Li, Shuaijie, Lin, Qing, Liu, Jianglai, Lu, Xiaoying, Luo, Lingyin, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Shaheed, Nasir, Meng, Yue, Ning, Xuyang, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shang, Changsong, Shang, Xiaofeng, Shen, Guofang, Si, Lin, Sun, Wenliang, Tan, Andi, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Zhou, Wei, Yuehuan, Wu, Mengmeng, Wu, Weihao, Xia, Jingkai, Xiao, Mengjiao, Xiao, Xiang, Xie, Pengwei, Yan, Binbin, Yan, Xiyu, Yang, Jijun, Yang, Yong, Yu, Chunxu, Yuan, Jumin, Yuan, Ying, Yuan, Zhe, Zeng, Xinning, Zhang, Dan, Zhang, Minzhen, Zhang, Peng, Zhang, Shu, Zhang, Tao, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zheng, Qibin, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yong, and Zhou, Yubo
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Physics - Instrumentation and Detectors ,High Energy Physics - Experiment - Abstract
PandaX-4T experiment is a deep-underground dark matter direct search experiment that employs a dual-phase time projection chamber with a sensitive volume containing 3.7 tonne of liquid xenon. The detector of PandaX-4T is capable of simultaneously collecting the primary scintillation and ionization signals, utilizing their ratio to discriminate dark matter signals from background sources such as gamma rays and beta particles. The signal response model plays a crucial role in interpreting the data obtained by PandaX-4T. It describes the conversion from the deposited energy by dark matter interactions to the detectable signals within the detector. The signal response model is utilized in various PandaX-4T results. This work provides a comprehensive description of the procedures involved in constructing and parameter-fitting the signal response model for the energy range of approximately 1 keV to 25 keV for electronic recoils and 6 keV to 90 keV for nuclear recoils. It also covers the signal reconstruction, selection, and correction methods, which are crucial components integrated into the signal response model.
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- 2024
12. PandaX-xT: a Multi-ten-tonne Liquid Xenon Observatory at the China Jinping Underground Laboratory
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PandaX Collaboration, Abdukerim, Abdusalam, Bo, Zihao, Chen, Wei, Chen, Xun, Cheng, Chen, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Geng, Lisheng, Giboni, Karl, Gu, Linhui, Guo, Xunan, Guo, Xuyuan, Guo, Zhichao, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Junting, Huang, Zhou, Hou, Ruquan, Hou, Yu, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shuaijie, Li, Tao, Lin, Qing, Liu, Jianglai, Lu, Congcong, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Ning, Xuyang, Pang, Binyu, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shaheed, Nasir, Shang, Xiaofeng, Shao, Xiyuan, Shen, Guofang, Si, Lin, Sun, Wenliang, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Xu, Wang, Zhou, Wei, Yuehuan, Wu, Mengmeng, Wu, Weihao, Wu, Yuan, Xiao, Mengjiao, Xiao, Xiang, Yan, Binbin, Yan, Xiyu, Yang, Yong, Yu, Chunxu, Yuan, Ying, Yuan, Zhe, Yun, Youhui, Zeng, Xinning, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Wei, Zhang, Yang, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yong, Zhou, Yubo, and Zhou, Zhizhen
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High Energy Physics - Experiment ,Astrophysics - Cosmology and Nongalactic Astrophysics ,High Energy Physics - Phenomenology - Abstract
We propose a major upgrade to the existing PandaX-4T experiment in the China Jinping Underground Laboratory. The new experiment, PandaX-xT, will be a multi-ten-tonne liquid xenon, ultra-low background, and general-purpose observatory. The full-scaled PandaX-xT contains a 43-tonne liquid xenon active target. Such an experiment will significantly advance our fundamental understanding of particle physics and astrophysics. The sensitivity of dark matter direct detection will be improved by nearly two orders of magnitude compared to the current best limits, approaching the so-called "neutrino floor" for a dark matter mass above 10 GeV/$c^2$, providing a decisive test to the Weakly Interacting Massive Particle paradigm. By searching for the neutrinoless double beta decay of $^{136}$Xe isotope in the detector, the effective Majorana neutrino mass can be measured to a [10 -- 41] meV/$c^2$ sensitivity, providing a key test to the Dirac/Majorana nature of neutrino s. Astrophysical neutrinos and other ultra-rare interactions can also be measured and searched for with an unprecedented background level, opening up new windows of discovery. Depending on the findings, PandaX-xT will seek the next stage upgrade utilizing isotopic separation on natural xenon.
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- 2024
13. Measurement of Solar $pp$ Neutrino Flux using Electron Recoil Data from PandaX-4T Commissioning Run
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PandaX Collaboration, Lu, Xiaoying, Abdukerim, Abdusalam, Bo, Zihao, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Chen, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Geng, Lisheng, Giboni, Karl, Guo, Xuyuan, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Junting, Huang, Zhou, Hou, Ruquan, Hou, Yu, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shuaijie, Li, Tao, Lin, Qing, Liu, Jianglai, Lu, Congcong, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Ning, Xuyang, Pang, Binyu, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shaheed, Nasir, Shang, Xiaofeng, Shao, Xiyuan, Shen, Guofang, Shen, Manbin, Si, Lin, Sun, Wenliang, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Xu, Wang, Zhou, Wei, Yuehuan, Wu, Mengmeng, Wu, Weihao, Wu, Yuan, Xiao, Mengjiao, Xiao, Xiang, Xiong, Kaizhi, Yan, Binbin, Yan, Xiyu, Yang, Yong, Yu, Chunxu, Yuan, Ying, Yuan, Zhe, Yun, Youhui, Zeng, Xinning, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Wei, Zhang, Yang, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yubo, and Zhou, Zhizhen
- Subjects
High Energy Physics - Experiment - Abstract
The proton-proton ($pp$) fusion chain dominates the neutrino production from the Sun. The uncertainty of the predicted $pp$ neutrino flux is at the sub-percent level, whereas that of the best measurement is $\mathcal{O}(10\%)$. In this paper, we present the first result to measure the solar $pp$ neutrinos in the electron recoil energy range from 24 to 144 keV, using the PandaX-4T commissioning data with 0.63 tonne$\times$year exposure. The $pp$ neutrino flux is determined to be $(8.0 \pm 3.9 \,{\rm{(stat)}} \pm 10.0 \,{\rm{(syst)}} )\times 10^{10}\, $$\rm{s}^{-1} \rm{cm}^{-2}$, consistent with Standard Solar Model and existing measurements, corresponding to a flux upper limit of $23.3\times 10^{10}\, $$\rm{s}^{-1} \rm{cm}^{-2}$ at 90\% C.L.., Comment: 6 pages, 5 figures
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- 2024
14. Radon Removal Commissioning of the PandaX-4T Cryogenic Distillation System
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Cui, Xiangyi, Wang, Zhou, Li, Jiafu, Li, Shuaijie, Si, Lin, Ju, Yonglin, Ma, Wenbo, Liu, Jianglai, Zhao, Li, Ji, Xiangdong, Yan, Rui, Sha, Haidong, Huang, Peiyao, Wang, Xiuli, and Liu, Huaxuan
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Physics - Instrumentation and Detectors - Abstract
The PandaX-4T distillation system, designed for the removal of krypton and radon from xenon, is evaluated for its radon removal efficiency using a $^{222}$Rn source during the online distillation process. The PandaX-4T dark matter detector is employed to monitor the temporal evolution of radon activity. To determine the radon reduction factor, the experimental data of radon atoms introduced into and bypassed the distillation system is compared. The results indicate that the PandaX-4T distillation system achieves a radon reduction factor exceeding 190 at the flow rate of 10 slpm and the reflux ratio of 1.44. Gas-only online distillation process of a flow rate of 20 slpm is also conducted without observing significant reduction of radon levels in the detector. This observation suggests that the migration flow of radon atoms from the liquid phase to the gas phase is limited, and the flow rate of gas circulation and duration of the process are insignificant compared to the total xenon mass of 5.6 tons in the detector. This study provides the experimental data to support the efficient removal of radon at $\sim$Bq level using the PandaX-4T distillation system, which is the prerequisite of the radon background control in the detector. The further operation with higher flow rate will be applied for the upcoming science run in PandaX-4T., Comment: 14 pages, 9 figures
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- 2024
15. Searching for Two-Neutrino and Neutrinoless Double Beta Decay of $^{134}$Xe with the PandaX-4T Experiment
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PandaX Collaboration, Yan, Xiyu, Cheng, Zhaokan, Abdukerim, Abdusalam, Bo, Zihao, Chen, Wei, Chen, Xun, Cheng, Chen, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Fu, Changbo, Fu, Mengting, Geng, Lisheng, Giboni, Karl, Gu, Linhui, Guo, Xuyuan, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Yanlin, Huang, Junting, Huang, Zhou, Hou, Ruquan, Hou, Yu, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shuaijie, Li, Tao, Lin, Qing, Liu, Jianglai, Lu, Xiaoying, Lu, Congcong, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Ning, Xuyang, Pang, Binyu, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shaheed, Nasir, Shang, Xiaofeng, Shao, Xiyuan, Shen, Guofang, Si, Lin, Sun, Wenliang, Tan, Andi, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Zhou, Wei, Yuehuan, Wu, Mengmeng, Wu, Weihao, Xia, Jingkai, Xiao, Mengjiao, Xiao, Xiang, Xie, Pengwei, Yan, Binbin, Yang, Jijun, Yang, Yong, Yao, Yukun, Yu, Chunxu, Yuan, Ying, Yuan, Zhe, Zeng, Xinning, Zhang, Dan, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Wei, Zhang, Yang, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zheng, Qibin, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yong, and Zhou, Yubo
- Subjects
Nuclear Experiment - Abstract
$^{134}$Xe is a candidate isotope for neutrinoless double beta decay~($0\nu\beta\beta$) search. In addition, the two-neutrino case ($2\nu\beta\beta$) allowed by the Standard Model of particle physics has not yet been observed. Utilizing the 10.4% of $^{134}$Xe in the natural xenon in the PandaX-4T detector and its first 94.9-day exposure, we have established the most stringent constraints on $2\nu\beta\beta$ and $0\nu\beta\beta$ of $^{134}$Xe half-lives, with limits of $2.8\times10^{22}$ yr and $3.0\times10^{23}$ yr at 90% confidence level, respectively. The $2\nu\beta\beta$ ($0\nu\beta\beta$) limit surpasses the previously reported best result by a factor of 32 (2.7), highlighting the potential of large monolithic natural xenon detectors.
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- 2023
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16. Waveform Simulation in PandaX-4T
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Li, Jiafu, Abdukerim, Abdusalam, Cheng, Chen, Bo, Zihao, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Fu, Changbo, Fu, Mengting, Geng, Lisheng, Giboni, Karl, Gu, Linhui, Guo, Xuyuan, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Yanlin, Huang, Zhou, Hou, Ruquan, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Mingchuan, Li, Shu, Li, Shuaijie, Lin, Qing, Liu, Jianglai, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Shaheed, Nasir, Meng, Yue, Ning, Xuyang, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shang, Changsong, Shang, Xiaofeng, Shen, Guofang, Si, Lin, Sun, Wenliang, Tan, Andi, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Zhou, Wei, Yuehuan, Wu, Mengmeng, Wu, Weihao, Xia, Jingkai, Xiao, Mengjiao, Xiao, Xiang, Xie, Pengwei, Yan, Binbin, Yan, Xiyu, Yang, Jijun, Yang, Yong, Yu, Chunxu, Yuan, Jumin, Yuan, Ying, Yuan, Zhe, Zeng, Xinning, Zhang, Dan, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zheng, Qibin, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yong, and Zhou, Yubo
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High Energy Physics - Experiment ,Physics - Instrumentation and Detectors - Abstract
Signal reconstruction through software processing is a crucial component of the background and signal models in the PandaX-4T experiment, which is a multi-tonne dark matter direct search experiment. The accuracy of signal reconstruction is influenced by various detector artifacts, including noise, dark count of photomultiplier, impurity photoionization in the detector, and other relevant considerations. In this study, we present a detailed description of a semi-data-driven approach designed to simulate the signal waveform. This work provides a reliable model for the efficiency and bias of the signal reconstruction in the data analysis of PandaX-4T. By comparing critical variables which relate to the temporal shape and hit pattern of the signals, we demonstrate a good agreement between the simulation and data.
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- 2023
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17. Novel small multidrug resistance protein Tmt endows the Escherichia coli with triphenylmethane dyes bioremediation capability
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Wang, Zhou, Zhou, Haoqiang, Cheng, Yilan, An, Lijin, Yan, Dazhong, Chao, Hongjun, and Wu, Jing
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- 2024
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18. AutoML for Large Capacity Modeling of Meta's Ranking Systems
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Yin, Hang, Liu, Kuang-Hung, Sun, Mengying, Chen, Yuxin, Zhang, Buyun, Liu, Jiang, Sehgal, Vivek, Panchal, Rudresh Rajnikant, Hotaj, Eugen, Liu, Xi, Guo, Daifeng, Zhang, Jamey, Wang, Zhou, Jiang, Shali, Li, Huayu, Chen, Zhengxing, Chen, Wen-Yen, Yang, Jiyan, and Wen, Wei
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Computer Science - Information Retrieval ,Computer Science - Artificial Intelligence - Abstract
Web-scale ranking systems at Meta serving billions of users is complex. Improving ranking models is essential but engineering heavy. Automated Machine Learning (AutoML) can release engineers from labor intensive work of tuning ranking models; however, it is unknown if AutoML is efficient enough to meet tight production timeline in real-world and, at the same time, bring additional improvements to the strong baselines. Moreover, to achieve higher ranking performance, there is an ever-increasing demand to scale up ranking models to even larger capacity, which imposes more challenges on the efficiency. The large scale of models and tight production schedule requires AutoML to outperform human baselines by only using a small number of model evaluation trials (around 100). We presents a sampling-based AutoML method, focusing on neural architecture search and hyperparameter optimization, addressing these challenges in Meta-scale production when building large capacity models. Our approach efficiently handles large-scale data demands. It leverages a lightweight predictor-based searcher and reinforcement learning to explore vast search spaces, significantly reducing the number of model evaluations. Through experiments in large capacity modeling for CTR and CVR applications, we show that our method achieves outstanding Return on Investment (ROI) versus human tuned baselines, with up to 0.09% Normalized Entropy (NE) loss reduction or $25\%$ Query per Second (QPS) increase by only sampling one hundred models on average from a curated search space. The proposed AutoML method has already made real-world impact where a discovered Instagram CTR model with up to -0.36% NE gain (over existing production baseline) was selected for large-scale online A/B test and show statistically significant gain. These production results proved AutoML efficacy and accelerated its adoption in ranking systems at Meta., Comment: Hang Yin and Kuang-Hung Liu contribute equally
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- 2023
19. Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings
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Peng, Yifei, Jin, Yu, Luo, Zhexu, Ding, Yao-Xiang, Dai, Wang-Zhou, Ren, Zhong, and Zhou, Kun
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Computer Science - Artificial Intelligence ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Graphics - Abstract
Despite the great success of neural visual generative models in recent years, integrating them with strong symbolic reasoning systems remains a challenging task. There are two levels of symbol grounding problems among the core challenges: the first is symbol assignment, i.e. mapping latent factors of neural visual generators to semantic-meaningful symbolic factors from the reasoning systems by learning from limited labeled data. The second is rule learning, i.e. learning new rules that govern the generative process to enhance the symbolic reasoning systems. To deal with these two problems, we propose a neurosymbolic learning approach, Abductive visual Generation (AbdGen), for integrating logic programming systems with neural visual generative models based on the abductive learning framework. To achieve reliable and efficient symbol grounding, the quantized abduction method is introduced for generating abduction proposals by the nearest-neighbor lookup within semantic codebooks. To achieve precise rule learning, the contrastive meta-abduction method is proposed to eliminate wrong rules with positive cases and avoid less informative rules with negative cases simultaneously. Experimental results show that compared to the baseline approaches, AbdGen requires significantly less labeled data for symbol assignment. Furthermore, AbdGen can effectively learn underlying logical generative rules from data, which is out of the capability of existing approaches. The code is released at this link: https://github.com/candytalking/AbdGen.
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- 2023
20. Perceptual Quality Assessment of 360$^\circ$ Images Based on Generative Scanpath Representation
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Sui, Xiangjie, Zhu, Hanwei, Liu, Xuelin, Fang, Yuming, Wang, Shiqi, and Wang, Zhou
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Computer Science - Computer Vision and Pattern Recognition ,Electrical Engineering and Systems Science - Image and Video Processing - Abstract
Despite substantial efforts dedicated to the design of heuristic models for omnidirectional (i.e., 360$^\circ$) image quality assessment (OIQA), a conspicuous gap remains due to the lack of consideration for the diversity of viewing behaviors that leads to the varying perceptual quality of 360$^\circ$ images. Two critical aspects underline this oversight: the neglect of viewing conditions that significantly sway user gaze patterns and the overreliance on a single viewport sequence from the 360$^\circ$ image for quality inference. To address these issues, we introduce a unique generative scanpath representation (GSR) for effective quality inference of 360$^\circ$ images, which aggregates varied perceptual experiences of multi-hypothesis users under a predefined viewing condition. More specifically, given a viewing condition characterized by the starting point of viewing and exploration time, a set of scanpaths consisting of dynamic visual fixations can be produced using an apt scanpath generator. Following this vein, we use the scanpaths to convert the 360$^\circ$ image into the unique GSR, which provides a global overview of gazed-focused contents derived from scanpaths. As such, the quality inference of the 360$^\circ$ image is swiftly transformed to that of GSR. We then propose an efficient OIQA computational framework by learning the quality maps of GSR. Comprehensive experimental results validate that the predictions of the proposed framework are highly consistent with human perception in the spatiotemporal domain, especially in the challenging context of locally distorted 360$^\circ$ images under varied viewing conditions. The code will be released at https://github.com/xiangjieSui/GSR, Comment: 12 pages, 5 figures
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- 2023
21. Rapid Detection of Heavy Metal Ions Co3+, Cu2+, Ni2+, and Zn2+ in Wastewater By Pyrimidine–Thiourea Ligand
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Wang, Zhou and Jin, Feng
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- 2024
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22. Human Comprehensible Active Learning of Genome-Scale Metabolic Networks
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Ai, Lun, Liang, Shi-Shun, Dai, Wang-Zhou, Hallett, Liam, Muggleton, Stephen H., and Baldwin, Geoff S.
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Computer Science - Artificial Intelligence ,Computer Science - Machine Learning ,Quantitative Biology - Molecular Networks ,Quantitative Biology - Quantitative Methods - Abstract
An important application of Synthetic Biology is the engineering of the host cell system to yield useful products. However, an increase in the scale of the host system leads to huge design space and requires a large number of validation trials with high experimental costs. A comprehensible machine learning approach that efficiently explores the hypothesis space and guides experimental design is urgently needed for the Design-Build-Test-Learn (DBTL) cycle of the host cell system. We introduce a novel machine learning framework ILP-iML1515 based on Inductive Logic Programming (ILP) that performs abductive logical reasoning and actively learns from training examples. In contrast to numerical models, ILP-iML1515 is built on comprehensible logical representations of a genome-scale metabolic model and can update the model by learning new logical structures from auxotrophic mutant trials. The ILP-iML1515 framework 1) allows high-throughput simulations and 2) actively selects experiments that reduce the experimental cost of learning gene functions in comparison to randomly selected experiments., Comment: Invited presentation for AAAI Spring Symposium Series 2023 on Computational Scientific Discovery
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- 2023
23. Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
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Tao, Lue, Huang, Yu-Xuan, Dai, Wang-Zhou, and Jiang, Yuan
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Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
Neuro-symbolic hybrid systems are promising for integrating machine learning and symbolic reasoning, where perception models are facilitated with information inferred from a symbolic knowledge base through logical reasoning. Despite empirical evidence showing the ability of hybrid systems to learn accurate perception models, the theoretical understanding of learnability is still lacking. Hence, it remains unclear why a hybrid system succeeds for a specific task and when it may fail given a different knowledge base. In this paper, we introduce a novel way of characterising supervision signals from a knowledge base, and establish a criterion for determining the knowledge's efficacy in facilitating successful learning. This, for the first time, allows us to address the two questions above by inspecting the knowledge base under investigation. Our analysis suggests that many knowledge bases satisfy the criterion, thus enabling effective learning, while some fail to satisfy it, indicating potential failures. Comprehensive experiments confirm the utility of our criterion on benchmark tasks.
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- 2023
24. Search for Dark-Matter-Nucleon Interactions with a Dark Mediator in PandaX-4T
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Huang, Di, Abdukerim, Abdusalam, Bo, Zihao, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Chen, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Fu, Changbo, Fu, Mengting, Geng, Lisheng, Giboni, Karl, Gu, Linhui, Guo, Xuyuan, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Yanlin, Huang, Zhou, Hou, Ruquan, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shu, Li, Shuaijie, Lin, Qing, Liu, Jianglai, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Ning, Xuyang, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shaheed, Nasir, Shang, Changsong, Shang, Xiaofeng, Shen, Guofang, Si, Lin, Sun, Wenliang, Tan, Andi, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Zhou, Wei, Yuehuan, Wu, Mengmeng, Wu, Weihao, Xia, Jingkai, Xiao, Mengjiao, Xiao, Xiang, Xie, Pengwei, Yan, Binbin, Yan, Xiyu, Yang, Jijun, Yang, Yong, Yao, Yukun, Yu, Chunxu, Yuan, Jumin, Yuan, Ying, Yuan, Zhe, Zeng, Xinning, Zhang, Dan, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Yang, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zheng, Qibin, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yong, Zhou, Yubo, Huo, Ran, and Yu, Hai-Bo
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High Energy Physics - Experiment ,High Energy Physics - Phenomenology - Abstract
We report results of a search for dark-matter-nucleon interactions via a dark mediator using optimized low-energy data from the PandaX-4T liquid xenon experiment. With the ionization-signal-only data and utilizing the Migdal effect, we set the most stringent limits on the cross section for dark matter masses ranging from 30~$\rm{MeV/c^2}$ to 2~$\rm{GeV/c^2}$. Under the assumption that the dark mediator is a dark photon that decays into scalar dark matter pairs in the early Universe, we rule out significant parameter space of such thermal relic dark-matter model., Comment: 6 pages, 4 figures
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- 2023
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25. DEPDC1 as a metabolic target regulates glycolysis in renal cell carcinoma through AKT/mTOR/HIF1α pathway
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Si-chen Di, Wen-jin Chen, Wei Yang, Xiang-min Zhang, Ke-qin Dong, Yi-jun Tian, Ye Sun, Cheng Qian, Jia-xin Chen, Zi-chang Liu, Zi-xuan Gong, Jian Chu, Wang Zhou, Xiu-wu Pan, and Xin-gang Cui
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Cytology ,QH573-671 - Abstract
Abstract Renal cell carcinoma (RCC) is considered a “metabolic disease” characterized by elevated glycolysis in patients with advanced RCC. Tyrosine kinase inhibitor (TKI) therapy is currently an important treatment option for advanced RCC, but drug resistance may develop in some patients. Combining TKI with targeted metabolic therapy may provide a more effective approach for patients with advanced RCC. An analysis of 14 RCC patients (including three needle biopsy samples with TKI resistance) revealed by sing-cell RNA sequencing (scRNA-seq) that glycolysis played a crucial role in poor prognosis and drug resistance in RCC. TCGA-KIRC and glycolysis gene set analysis identified DEPDC1 as a target associated with malignant progression and drug resistance in KIRC. Subsequent experiments demonstrated that DEPDC1 promoted malignant progression and glycolysis of RCC, and knockdown DEPDC1 could reverse TKI resistance in RCC cell lines. Bulk RNA sequencing (RNA-seq) and non-targeted metabolomics sequencing suggested that DEPDC1 may regulate RCC glycolysis via AKT/mTOR/HIF1α pathway, a finding supported by protein-level analysis. Clinical tissue samples from 98 RCC patients demonstrated that DEPDC1 was associated with poor prognosis and predicted RCC metastasis. In conclusion, this multi-omics analysis suggests that DEPDC1 could serve as a novel target for TKI combined with targeted metabolic therapy in advanced RCC patients with TKI resistance.
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- 2024
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26. An efficiency calibration method of segmented gamma scanning in reconstructing radioactive waste drum activity
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Zheng, Honglong, Tuo, Xianguo, Wang, Zhou, Gou, Rui, Liu, Qi, Li, Qiang, Shi, Rui, and Yang, Guang
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- 2024
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27. Blind Omnidirectional Image Quality Assessment: Integrating Local Statistics and Global Semantics
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Zhou, Wei and Wang, Zhou
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Computer Science - Multimedia ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Omnidirectional image quality assessment (OIQA) aims to predict the perceptual quality of omnidirectional images that cover the whole 180$\times$360$^{\circ}$ viewing range of the visual environment. Here we propose a blind/no-reference OIQA method named S$^2$ that bridges the gap between low-level statistics and high-level semantics of omnidirectional images. Specifically, statistic and semantic features are extracted in separate paths from multiple local viewports and the hallucinated global omnidirectional image, respectively. A quality regression along with a weighting process is then followed that maps the extracted quality-aware features to a perceptual quality prediction. Experimental results demonstrate that the proposed S$^2$ method offers highly competitive performance against state-of-the-art methods.
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- 2023
28. Design, construction and commissioning of the PandaX-30T liquid xenon management system
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Wang, Xiuli, Lei, Zhuoqun, Ju, Yonglin, Liu, Jianglai, Zhou, Ning, Chen, Yu, Wang, Zhou, Cui, Xiangyi, Meng, Yue, and Zhao, Li
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Physics - Instrumentation and Detectors - Abstract
The PandaX-30T is a proposed next-generation experiment to study dark matter and neutrinos using a dual-phase time projection chamber with \textasciitilde30 tons of liquid xenon. An innovative xenon handling subsystem of the PandaX-30T, the First-X, is described in this paper. The First-X is developed to handle liquid xenon safely and efficiently, including liquefying and long-term storing xenon without losses or contamination, and transferring cryogenic liquid xenon between the storage module and the detector safely and effectively without venting out. The storage module of the First-X is five specially designed double-walled cylindrical vessels (Center Tanks) equipped with three heat exchangers each for pressure and temperature regulation. Each Center Tank is designed with a vacuum and multi-layer insulation and a maximum allowable working pressure of 7.1 MPa, allowing 6 tons of xenon to be stored at 165--178 K at 0.1--0.2 MPa in the liquid phase or up to 300 K and up to 6.95 MPa in the supercritical phase. High-pressure storage (\textgreater0.2 MPa) only occurs in case of long-term detector shutdown or lack of nitrogen, ensuring no-loss storage of 6 tons of xenon in the range 178--300 K. In this paper, the thermophysical performances of the First-X and innovative scenarios to conduct non-vented cryogen transportation were experimentally conducted and reported using liquid argon. The non-vented cryogenic liquid filling and pump-assisted cryogenic liquid recovery have been conducted with liquid argon at a mass flow rate of 1390 kg/h, corresponding to a xenon mass flow rate of 2140 kg/h. Compared with the PandaX-4T, the transportation of xenon between the detector and the storage module is conducted in the liquid phase rather than in the gaseous phase, and the filling rate and the recovery rate are increased by approximately 50 times and 30 times, respectively., Comment: 25 pages, 17 figures
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- 2023
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29. Search for light dark matter from atmosphere in PandaX-4T
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Ning, Xuyang, Abdukerim, Abdusalam, Bo, Zihao, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Chen, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Fu, Changbo, Fu, Mengting, Geng, Lisheng, Giboni, Karl, Gu, Linhui, Guo, Xuyuan, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Yanlin, Huang, Zhou, Hou, Ruquan, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shu, Li, Shuaijie, Lin, Qing, Liu, Jianglai, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shaheed, Nasir, Shang, Changsong, Shang, Xiaofeng, Shen, Guofang, Si, Lin, Sun, Wenliang, Tan, Andi, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Zhou, Wei, Yuehuan, Wu, Mengmeng, Wu, Weihao, Xia, Jingkai, Xiao, Mengjiao, Xiao, Xiang, Xie, Pengwei, Yan, Binbin, Yan, Xiyu, Yang, Jijun, Yang, Yong, Yao, Yukun, Yu, Chunxu, Yuan, Jumin, Yuan, Ying, Yuan, Zhe, Zeng, Xinning, Zhang, Dan, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Yang, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zheng, Qibin, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yong, Zhou, Yubo, Su, Liangliang, and Wu, Lei
- Subjects
High Energy Physics - Experiment - Abstract
We report a search for light dark matter produced through the cascading decay of $\eta$ mesons, which are created as a result of inelastic collisions between cosmic rays and Earth's atmosphere. We introduce a new and general framework, publicly accessible, designed to address boosted dark matter specifically, with which a full and dedicated simulation including both elastic and quasi-elastic processes of Earth attenuation effect on the dark matter particles arriving at the detector is performed. In the PandaX-4T commissioning data of 0.63 tonne$\cdot$year exposure, no significant excess over background is observed. The first constraints on the interaction between light dark matter generated in the atmosphere and nucleus through a light scalar mediator are obtained. The lowest excluded cross-section is set at $5.9 \times 10^{-37}{\rm cm^2}$ for dark matter mass of $0.1$ MeV$/c^2$ and mediator mass of 300 MeV$/c^2$. The lowest upper limit of $\eta$ to dark matter decay branching ratio is $1.6 \times 10^{-7}$., Comment: 6 pages, 3 figures
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- 2023
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30. Identification of prognostic stemness-related genes in kidney renal papillary cell carcinoma
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Yifan Liu, Yuntao Yao, Yu Zhang, Chengdang Xu, Tianyue Yang, Mingyu Qu, Bingnan Lu, Xu Song, Xiuwu Pan, Wang Zhou, and Xingang Cui
- Subjects
Kidney renal papillary cell carcinoma (KIRP) ,Stemness-related gene ,mRNA expression-based stemness index ,Notch signaling pathway ,Prognosis ,Target drugs ,Internal medicine ,RC31-1245 ,Genetics ,QH426-470 - Abstract
Abstract Background Kidney renal papillary cell carcinoma (KIRP) is the second most prevalent malignant cancer originating from the renal epithelium. Nowadays, cancer stem cells and stemness-related genes (SRGs) are revealed to play important roles in the carcinogenesis and metastasis of various tumors. Consequently, we aim to investigate the underlying mechanisms of SRGs in KIRP. Methods RNA-seq profiles of 141 KIRP samples were downloaded from the TCGA database, based on which we calculated the mRNA expression-based stemness index (mRNAsi). Next, we selected the differentially expressed genes (DEGs) between low- and high-mRNAsi groups. Then, we utilized weighted gene correlation network analysis (WGCNA) and univariate Cox analysis to identify prognostic SRGs. Afterwards, SRGs were included in the multivariate Cox regression analysis to establish a prognostic model. In addition, a regulatory network was constructed by Pearson correlation analysis, incorporating key genes, upstream transcription factors (TFs), and downstream signaling pathways. Finally, we used Connectivity map analysis to identify the potential inhibitors. Results In total, 1124 genes were characterized as DEGs between low- and high-RNAsi groups. Based on six prognostic SRGs (CCKBR, GPR50, GDNF, SPOCK3, KC877982.1, and MYO15A), a prediction model was established with an area under curve of 0.861. Furthermore, among the TFs, genes, and signaling pathways that had significant correlations, the CBX2-ASPH-Notch signaling pathway was the most significantly correlated. Finally, resveratrol might be a potential inhibitor for KIRP. Conclusions We suggested that CBX2 could regulate ASPH through activation of the Notch signaling pathway, which might be correlated with the carcinogenesis, development, and unfavorable prognosis of KIRP.
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- 2024
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31. Covalency competition induced selective bond breakage and surface reconstruction in manganese cobaltite towards enhanced electrochemical charge storage
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Peng Gao, Pei Tang, Ying Mo, Peitao Xiao, Wang Zhou, Shi Chen, Hongliang Dong, Ziwei Li, Chaohe Xu, and Jilei Liu
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Manganese cobaltite ,Tetrahedrally-coordinated Co2+ leaching ,Selective bond breakage ,Surface reconstruction ,Charge storage mechanisms ,Renewable energy sources ,TJ807-830 ,Ecology ,QH540-549.5 - Abstract
Manganese cobaltite (MnCo2O4) is a promising electrode material because of its attractive redox chemistry and excellent charge storage capability. Our previous work demonstrated that the octahedrally-coordinated Mn are prone to react with the hydroxyl ions in alkaline electrolyte upon electrochemical cycling and separates on the surface of spinel to reconstruct into δ-MnO2 nanosheets irreversibly, thus results in a change of the reaction mechanism with K+ ion intercalation. However, the low capacity has greatly limited its practical application. Herein, we found that the tetrahedrally-coordinated Co2+ ions were leached when MnCo2O4 was equilibrated in 1 mol L−1 HCl solution, leading to the formation of layered CoOOH on MnCo2O4 surface which is originated from the covalency competition induced selective breakage of the CoT–O bond in CoT–O–CoO and subsequent rearrangement of free CoO6 octahedra. The as-formed CoOOH is stable upon cycling in alkaline electrolyte, exhibits conversion reaction mechanism with facile proton diffusion and is free of massive structural evolution, thus enables utilization of the bulk electrode material and realizes enhanced specific capacity as well as facilitated charge transfer and ion diffusion. In general, our work not only offers a feasible approach to deliberate modification of MnCo2O4's surface structure, but also provides an in-depth understanding of its charge storage mechanism, which enables rational design of the spinel oxides with promising charge storage properties.
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- 2024
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32. Semi-quantum private comparison and its generalization to the key agreement, summation, and anonymous ranking
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Ye, Chong-Qiang, Li, Jian, Chen, Xiu-Bo, Hou, Yanyan, and Wang, Zhou
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Quantum Physics - Abstract
Semi-quantum protocols construct connections between quantum users and ``classical'' users who can only perform certain ``classical'' operations. In this paper, we present a new semi-quantum private comparison protocol based on entangled states and single particles, which does not require pre-shared keys between the ``classical'' users to guarantee the security of their private data. By utilizing multi-particle entangled states and single particles, our protocol can be easily extended to multi-party scenarios to meet the requirements of multiple ``classical'' users who want to compare their private data. The security analysis shows that the protocol can effectively prevent attacks from outside eavesdroppers and adversarial participants. Besides, we generalize the proposed protocol to other semi-quantum protocols such as semi-quantum key agreement, semi-quantum summation, and semi-quantum anonymous ranking protocols. We compare and discuss the proposed protocols with previous similar protocols. The results show that our protocols satisfy the demands of their respective counterparts separately. Therefore, our protocols have a wide range of application scenarios., Comment: 19 pages 5 tables
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- 2022
33. Learning Acceptance Regions for Many Classes with Anomaly Detection
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Wang, Zhou and Qiao, Xingye
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Statistics - Machine Learning ,Computer Science - Machine Learning - Abstract
Set-valued classification, a new classification paradigm that aims to identify all the plausible classes that an observation belongs to, can be obtained by learning the acceptance regions for all classes. Many existing set-valued classification methods do not consider the possibility that a new class that never appeared in the training data appears in the test data. Moreover, they are computationally expensive when the number of classes is large. We propose a Generalized Prediction Set (GPS) approach to estimate the acceptance regions while considering the possibility of a new class in the test data. The proposed classifier minimizes the expected size of the prediction set while guaranteeing that the class-specific accuracy is at least a pre-specified value. Unlike previous methods, the proposed method achieves a good balance between accuracy, efficiency, and anomaly detection rate. Moreover, our method can be applied in parallel to all the classes to alleviate the computational burden. Both theoretical analysis and numerical experiments are conducted to illustrate the effectiveness of the proposed method.
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- 2022
34. Tracing the evolving dynamics and research hotspots in the kidney neoplasm and nephron sparing surgery field from the past to the new era
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Yuntao Yao, Yifan Liu, Tianyue Yang, Bingnan Lu, Xinyue Yang, Haoyu Zhang, Zihui Zhao, Runzhi Huang, Wang Zhou, Xiuwu Pan, and Xingang Cui
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bibliometric analysis ,ischemia ,kidney neoplasm ,nephron sparing surgery ,partial nephrectomy ,radical nephrectomy ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background With increasing detection of small renal masses and accumulating evidence that nephron sparing surgery (NSS) could achieve oncological equivalence and functional superiority compared with radical nephrectomy (RN), NSS has become first‐line therapy for some patients with localized renal masses. Objective This study aims to review the publications in the kidney neoplasm and NSS field, exploring the research hotspots. Method Kidney neoplasm and NSS related publications before July 3th 2023 were obtained from the Web of Science Core Collection database. We then used bibliometric analysis to conduct performance analysis, citation analysis and co‐citation network of publications, together with keyword co‐occurrence analysis. Results Seven thousand five hundred and sixty‐four documents were finally retrieved, and the annual publications increased exponentially. The most productive authors were “KAOUK JH” and “GILL IS”, while USA, and 12 American affiliations such as CLEVELAND CLINIC FOUNDATION and MAYO CLINIC were far leading in this field. Journal of Urology and European Urology were journals with the highest citations and h‐index. Discussion Through literature reviewing plus co‐occurrence and clustering analysis, the therapeutic effects of partial nephrectomy (PN) versus RN on patients with localized renal cell carcinoma, different operative approaches of PN, and conservative NSS methods were deemed as the most focused topics. Conclusion Three aspects were the most important hotspots in this field. Firstly, how to provide the optimal management choices for different patients. Secondly, therapeutic effects of different management options and surgical techniques needed more prospective and randomized studies. Finally, more novel technologies and surgical techniques were required.
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- 2024
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35. Integrated analysis of tertiary lymphoid structures and immune infiltration in ccRCC microenvironment revealed their clinical significances: a multicenter cohort study
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Da Xu, LI Zuo, Wang Zhou, Yu-Qi Wang, Wen-Jin Chen, Ke-Qin Dong, Jia-Xin Chen, Wei-Jie Chen, Wen-Yan Li, Zi-Chang Liu, Zheng-Yu Jiang, Yi-Fan Tang, Yu-Xuan Qin, Lin-Hui Wang, Xiu-Wu Pan, and Xin-Gang Cui
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Background Tertiary lymphoid structures (TLSs) serve as organized lymphoid aggregates that influence immune responses within the tumor microenvironment. This study aims to investigate the characteristics and clinical significance of TLSs and tumor-infiltrating lymphocytes (TILs) in clear cell renal cell carcinoma (ccRCC).Methods TLSs and TILs were analyzed comprehensively in 754 ccRCC patients from 6 academic centers and 532 patients from The Cancer Genome Atlas. Integrated analysis was performed based on single-cell RNA-sequencing datasets from 21 ccRCC patients to investigate TLS heterogeneity in ccRCC. Immunohistochemistry and multiplex immunofluorescence were applied. Cox regression and Kaplan-Meier analyses were used to reveal the prognostic significance.Results The study demonstrated the existence of TLSs and TILs heterogeneities in the ccRCC microenvironment. TLSs were identified in 16% of the tumor tissues in 113 patients. High density (>0.6/mm2) and maturation of TLSs predicted good overall survival (OS) (p151) of scattered TILs was an independent risk factor of poor ccRCC prognosis (HR=14.818, p
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- 2024
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36. Constraints on the axial-vector and pseudo-scalar mediated WIMP-nucleus interactions from PandaX-4T experiment
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Huang, Zhou, Han, Chencheng, Abdukerim, Abdusalam, Bo, Zihao, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Chen, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Fu, Changbo, Fu, Mengting, Geng, Lisheng, Giboni, Karl, Gu, Linhui, Guo, Xuyuan, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Yanlin, Hou, Ruquan, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shu, Li, Shuaijie, Lin, Qing, Liu, Jianglai, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Shaheed, Nasir, Meng, Yue, Ning, Xuyang, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shang, Changsong, Shang, Xiaofeng, Shen, Guofang, Si, Lin, Sun, Wenliang, Tan, Andi, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Zhou, Wei, Yuehuan, Wu, Mengmeng, Wu, Weihao, Xia, Jingkai, Xiao, Mengjiao, Xiao, Xiang, Xie, Pengwei, Yan, Binbin, Yan, Xiyu, Yang, Jijun, Yang, Yong, Yu, Chunxu, Yuan, Jumin, Yuan, Ying, Yuan, Zhe, Zeng, Xinning, Zhang, Dan, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zheng, Qibin, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yong, and Zhou, Yubo
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High Energy Physics - Experiment ,High Energy Physics - Phenomenology - Abstract
We present the constraints on the axial-vector and pseudo-scalar mediated WIMP-nucleus interactions from the PandaX-4T experiment, using the data set corresponding to a total exposure of 0.63~tonne$\cdot$year. No significant signal excess is observed, and the most stringent upper limits to date on the spin-dependent WIMP-neutron scattering cross section are set at 90\% confidence level with the minimum WIMP-neutron scattering cross section of 5.8$\times 10^{-42}$\si{\cm^{2}} for WIMP mass of 40~\si{\GeV/}$c^2$. Exclusion limits on the axial-vector and pseudo-scalar simplified models are also derived.
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- 2022
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37. Design and Operation of the PandaX-4T High Speed Ultra-high Purity Xenon Recuperation System
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Wang, Zhou, Ma, Wenbo, Zhang, Tao, Zhao, Li, Li, Shuaijie, Cui, Xiangyi, Liu, Jianglai, Fu, Changbo, Ju, Yonglin, Lin, Qing, Chen, Xiaohua, Chen, Xun, and Wang, Xiuli
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Physics - Instrumentation and Detectors ,High Energy Physics - Experiment - Abstract
In order to recuperate the ultra-high purity xenon from PandaX-4T dark matter detector to high-pressure gas cylinders in emergency or at the end-of-run situation, a high speed ultra-high purity xenon recuperation system is designed and developed. This system includes a diaphragm pump, the heat management system, the main recuperation pipeline, the reflux pipeline, the auxiliary recuperation pipeline and the automatic control system. The liquid xenon in the detector is vaporized by the heat management system, and the gaseous xenon is compressed to 6 MPa at the flow rate of 200 standard litres per minute (SLPM) using the diaphragm compressor. The high-pressure xenon is filled into 128 gas cylinders via the main recuperation pipeline. During the recuperation, the low pressure and temperature conditions of 2 ~ 3 atmospheres and 178 ~ 186.5 K in PandaX-4T dark matter detector are kept by the cooperation of the main recuperation pipeline, reflux pipeline and the auxiliary recuperation pipeline to guarantee the safety, and the purity of the recuperated xenon gas is measured to ensure no contamination happened. The development of the high speed ultra-high purity xenon recuperation system is important for the operation of large-scale dark matter detectors with the requirements of strict temperature and pressure environment and low background.
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- 2022
38. Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical Fidelity
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Zhou, Wei and Wang, Zhou
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Multimedia ,Electrical Engineering and Systems Science - Image and Video Processing - Abstract
There has been a growing interest in developing image super-resolution (SR) algorithms that convert low-resolution (LR) to higher resolution images, but automatically evaluating the visual quality of super-resolved images remains a challenging problem. Here we look at the problem of SR image quality assessment (SR IQA) in a two-dimensional (2D) space of deterministic fidelity (DF) versus statistical fidelity (SF). This allows us to better understand the advantages and disadvantages of existing SR algorithms, which produce images at different clusters in the 2D space of (DF, SF). Specifically, we observe an interesting trend from more traditional SR algorithms that are typically inclined to optimize for DF while losing SF, to more recent generative adversarial network (GAN) based approaches that by contrast exhibit strong advantages in achieving high SF but sometimes appear weak at maintaining DF. Furthermore, we propose an uncertainty weighting scheme based on content-dependent sharpness and texture assessment that merges the two fidelity measures into an overall quality prediction named the Super Resolution Image Fidelity (SRIF) index, which demonstrates superior performance against state-of-the-art IQA models when tested on subject-rated datasets., Comment: Accepted by ACMMM2022 https://github.com/weizhou-geek/SRIF
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- 2022
39. A First Search for Solar $^8$B Neutrino in the PandaX-4T Experiment using Neutrino-Nucleus Coherent Scattering
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Ma, Wenbo, Abdukerim, Abdusalam, Cheng, Chen, Bo, Zihao, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Fu, Changbo, Fu, Mengting, Geng, Lisheng, Giboni, Karl, Gu, Linhui, Guo, Xuyuan, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Yanlin, Huang, Zhou, Hou, Ruquan, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shu, Li, Shuaijie, Lin, Qing, Liu, Jianglai, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Yugang, Mao, Yajun, Shaheed, Nasir, Meng, Yue, Ning, Xuyang, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shang, Changsong, Shang, Xiaofeng, Shen, Guofang, Si, Lin, Sun, Wenliang, Tan, Andi, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Zhou, Wei, Yuehuan, Wu, Mengmeng, Wu, Weihao, Xia, Jingkai, Xiao, Mengjiao, Xiao, Xiang, Xie, Pengwei, Yan, Binbin, Yan, Xiyu, Yang, Jijun, Yang, Yong, Yu, Chunxu, Yuan, Jumin, Yuan, Ying, Yuan, Zhe, Zeng, Xinning, Zhang, Dan, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Yingxin, Zhang, Yuanyuan, Zhao, Li, Zheng, Qibin, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yong, and Zhou, Yubo
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High Energy Physics - Experiment - Abstract
A search for interactions from solar $^8$B neutrinos elastically scattering off xenon nuclei using PandaX-4T commissioning data is reported. The energy threshold of this search is further lowered compared with the previous search for dark matter, with various techniques utilized to suppress the background that emerges from data with the lowered threshold. A blind analysis is performed on the data with an effective exposure of 0.48 tonne$\cdot$year, and no significant excess of events is observed. Among results obtained using the neutrino-nucleus coherent scattering, our results give the best constraint on the solar $^8$B neutrino flux. We further provide a more stringent limit on the cross section between dark matter and nucleon in the mass range from 3 to 9 GeV/c$^2$., Comment: 5 pages, 4 figures
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- 2022
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40. Neutron-induced nuclear recoil background in the PandaX-4T experiment
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Huang, Zhou, Shen, Guofang, Wang, Qiuhong, Abdukerim, Abdusalam, Bo, Zihao, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Chen, Cheng, Yunshan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Fu, Changbo, Fu, Mengting, Geng, Lisheng, Giboni, Karl, Gu, Linhui, Guo, Xuyuan, Han, Chencheng, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Yanlin, Hou, Ruquan, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Mingchuan, Li, Shu, Li, Shuaijie, Lin, Qing, Liu, Jianglai, Lu, Xiaoying, Luo, Lingyin, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Ning, Xuyang, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shaheed, Nasir, Shang, Changsong, Si, Lin, Sun, Wenliang, Tan, Andi, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Zhou, Wu, Mengmeng, Wu, Weihao, Xia, Jingkai, Xiao, Mengjiao, Xiao, Xiang, Xie, Pengwei, Yan, Binbin, Yan, Xiyu, Yang, Jijun, Yang, Yong, Yu, Chunxu, Yuan, Jumin, Yuan, Ying, Zhang, Dan, Zhang, Minzhen, Zhang, Peng, Zhang, Tao, Zhao, Li, Zheng, Qibin, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, and Zhou, Yong
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High Energy Physics - Experiment ,Physics - Instrumentation and Detectors - Abstract
Neutron-induced nuclear recoil background is critical to the dark matter searches in the PandaX-4T liquid xenon experiment. This paper studies the feature of neutron background in liquid xenon and evaluates their contribution in the single scattering nuclear recoil events through three methods. The first method is fully Monte Carlo simulation based. The last two are data-driven methods that also use the multiple scattering signals and high energy signals in the data, respectively. In the PandaX-4T commissioning data with an exposure of 0.63 tonne-year, all these methods give a consistent result that there are $1.15\pm0.57$ neutron-induced background in dark matter signal region within an approximated nuclear recoil energy window between 5 and 100 keV., Comment: 14 pages, 14 figures, 6 tables
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- 2022
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41. A Search for Light Fermionic Dark Matter Absorption on Electrons in PandaX-4T
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Zhang, Dan, Abdukerim, Abdusalam, Bo, Zihao, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Chen, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Fu, Changbo, Fu, Mengting, Geng, Lisheng, Giboni, Karl, Gu, Linhui, Guo, Xuyuan, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Yanlin, Huang, Zhou, Hou, Ruquan, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shu, Li, Shuaijie, Lin, Qing, Liu, Jianglai, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Shaheed, Nasir, Meng, Yue, Ning, Xuyang, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shang, Changsong, Shang, Xiaofeng, Shen, Guofang, Si, Lin, Sun, Wenliang, Tan, Andi, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Zhou, Wei, Yuehuan, Wu, Mengmeng, Wu, Weihao, Xia, Jingkai, Xiao, Mengjiao, Xiao, Xiang, Xie, Pengwei, Yan, Binbin, Yan, Xiyu, Yang, Jijun, Yang, Yong, Yu, Chunxu, Yuan, Jumin, Yuan, Ying, Zeng, Xinning, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Yuanyuan, Zhao, Li, Zheng, Qibin, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yong, Zhou, Yubo, Ge, Shao-Feng, He, Xiao-Gang, Ma, Xiao-Dong, and Sheng, Jie
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High Energy Physics - Experiment ,Astrophysics - High Energy Astrophysical Phenomena - Abstract
We report a search on a sub-MeV fermionic dark matter absorbed by electrons with an outgoing active neutrino using the 0.63 tonne-year exposure collected by PandaX-4T liquid xenon experiment. No significant signals are observed over the expected background. The data are interpreted into limits to the effective couplings between such dark matter and electrons. For axial-vector or vector interactions, our sensitivity is competitive in comparison to existing astrophysical bounds on the decay of such dark matter into photon final states. In particular, we present the first direct detection limits for an axial-vector (vector) interaction which are the strongest in the mass range from 25 to 45 (35 to 50) keV/c$^2$.
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- 2022
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42. Clinical significance and research progress of microsatellite instability in gastric cancer
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WANG Zhou*, WANG Wenjie, XU Wei, SHEN Yimin, LI Yuanyuan, LI Jinzhou, MU Yanxi, YAO Yalong, CHEN Xiao
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gastric cancer ,microsatellite instability ,mismatched repair ,chemotherapy ,immunotherapy ,fluorouracil ,pabolizumab ,navulizumab ,ipilimumab ,Medicine - Abstract
The occurrence and development of gastric cancer (GC) is determined by many factors. In recent years, the development of molecular biology has provided new ideas for the diagnosis and treatment of GC. Microsatellite instability (MSI) GC is a special type of GC caused by the body 's DNA mismatch repair (MMR) gene defect. Studies of the clinical characteristics, molecular mechanisms and prognosis of MSI GC found specific clinicopathological features and better prognosis in MSI GC compared with ordinary types of GC. However, there are still some controversies in the study of MSI gastric cancer at home and abroad. This article aims to review the concept of MSI, the relationship between MSI and clinicopathological features of gastric cancer, and the treatment progress of MSI gastric cancer.
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- 2024
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43. Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
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Licheng Liu, Wang Zhou, Kaiyu Guan, Bin Peng, Shaoming Xu, Jinyun Tang, Qing Zhu, Jessica Till, Xiaowei Jia, Chongya Jiang, Sheng Wang, Ziqi Qin, Hui Kong, Robert Grant, Symon Mezbahuddin, Vipin Kumar, and Zhenong Jin
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Science - Abstract
Abstract Accurate and cost-effective quantification of the carbon cycle for agroecosystems at decision-relevant scales is critical to mitigating climate change and ensuring sustainable food production. However, conventional process-based or data-driven modeling approaches alone have large prediction uncertainties due to the complex biogeochemical processes to model and the lack of observations to constrain many key state and flux variables. Here we propose a Knowledge-Guided Machine Learning (KGML) framework that addresses the above challenges by integrating knowledge embedded in a process-based model, high-resolution remote sensing observations, and machine learning (ML) techniques. Using the U.S. Corn Belt as a testbed, we demonstrate that KGML can outperform conventional process-based and black-box ML models in quantifying carbon cycle dynamics. Our high-resolution approach quantitatively reveals 86% more spatial detail of soil organic carbon changes than conventional coarse-resolution approaches. Moreover, we outline a protocol for improving KGML via various paths, which can be generalized to develop hybrid models to better predict complex earth system dynamics.
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- 2024
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44. Breaking solvation dominance of ethylene carbonate via molecular charge engineering enables lower temperature battery
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Yuqing Chen, Qiu He, Yun Zhao, Wang Zhou, Peitao Xiao, Peng Gao, Naser Tavajohi, Jian Tu, Baohua Li, Xiangming He, Lidan Xing, Xiulin Fan, and Jilei Liu
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Science - Abstract
Abstract Low temperatures severely impair the performance of lithium-ion batteries, which demand powerful electrolytes with wide liquidity ranges, facilitated ion diffusion, and lower desolvation energy. The keys lie in establishing mild interactions between Li+ and solvent molecules internally, which are hard to achieve in commercial ethylene-carbonate based electrolytes. Herein, we tailor the solvation structure with low-ε solvent-dominated coordination, and unlock ethylene-carbonate via electronegativity regulation of carbonyl oxygen. The modified electrolyte exhibits high ion conductivity (1.46 mS·cm−1) at −90 °C, and remains liquid at −110 °C. Consequently, 4.5 V graphite-based pouch cells achieve ~98% capacity over 200 cycles at −10 °C without lithium dendrite. These cells also retain ~60% of their room-temperature discharge capacity at −70 °C, and miraculously retain discharge functionality even at ~−100 °C after being fully charged at 25 °C. This strategy of disrupting solvation dominance of ethylene-carbonate through molecular charge engineering, opens new avenues for advanced electrolyte design.
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- 2023
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45. First search for the absorption of fermionic dark matter with the PandaX-4T experiment
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Gu, Linhui, Abdukerim, Abdusalam, Bo, Zihao, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Chen, Cheng, Yunshan, Cheng, Zhaokan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Fu, Changbo, Fu, Mengting, Geng, Lisheng, Giboni, Karl, Guo, Xuyuan, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Yanlin, Huang, Zhou, Hou, Ruquan, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shu, Li, Shuaijie, Lin, Qing, Liu, Jianglai, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Shaheed, Nasir, Meng, Yue, Ning, Xuyang, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shang, Changsong, Shang, Xiaofeng, Shen, Guofang, Si, Lin, Sun, Wenliang, Tan, Andi, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Zhou, Wei, Yuehuan, Wu, Mengmeng, Wu, Weihao, Xia, Jingkai, Xiao, Mengjiao, Xiao, Xiang, Xie, Pengwei, Yan, Binbin, Yan, Xiyu, Yang, Jijun, Yang, Yong, Yu, Chunxu, Yuan, Jumin, Yuan, Ying, Zeng, Xinning, Zhang, Dan, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhang, Yuanyuan, Zhao, Li, Zheng, Qibin, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, Zhou, Yong, and Zhou, Yubo
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High Energy Physics - Experiment - Abstract
Compared with the signature of dark matter elastic scattering off nuclei, the absorption of fermionic dark matter by nuclei opens up a new searching channel for light dark matter with a characteristic monoenergetic signal. In this Letter, we explore the $95.0$-day data from the PandaX-4T commissioning run and report the first dedicated searching results of the fermionic dark matter absorption signal through a neutral current process. No significant signal was found, and the lowest limit on the dark matter-nucleon interaction cross section is set to be $1.5\times10^{-50}$ cm$^2$ for a fermionic dark matter mass of $40$ MeV/$c^2$ with 90\% confidence level., Comment: 6 pages, 6 figures
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- 2022
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46. Measurement of Double Beta Decay Half-life of $^{136}$Xe with the PandaX-4T Detector
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PandaX Collaboration, Si, Lin, Cheng, Zhaokan, Abdukerim, Abdusalam, Bo, Zihao, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Chen, Cheng, Yunshan, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Fu, Changbo, Fu, Mengting, Geng, Lisheng, Giboni, Karl, Gu, Linhui, Guo, Xuyuan, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Yanlin, Huang, Zhou, Hou, Ruquan, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Jiafu, Li, Mingchuan, Li, Shu, Li, Shuaijie, Lin, Qing, Liu, Jianglai, Lu, Xiaoying, Luo, Lingyin, Luo, Yunyang, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Shaheed, Nasir, Shang, Xiaofeng, Ning, Xuyang, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shang, Changsong, Shen, Guofang, Sun, Wenliang, Tan, Andi, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Zhou, Wei, Yuehuan, Wu, Mengmeng, Wu, Weihao, Xia, Jingkai, Xiao, Mengjiao, Xiao, Xiang, Xie, Pengwei, Yan, Binbin, Yan, Xiyu, Yang, Jijun, Yang, Yong, Yu, Chunxu, Yuan, Jumin, Yuan, Ying, Yuan, Zhe, Zhang, Dan, Zhang, Minzhen, Zhang, Peng, Zhang, Shibo, Zhang, Shu, Zhang, Tao, Zhao, Li, Zheng, Qibin, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, and Zhou, Yong
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Nuclear Experiment ,High Energy Physics - Experiment - Abstract
Precise measurement of two-neutrino double beta decay (DBD) half-life is an important step for the searches of Majorana neutrinos with neutrinoless double beta decay. We report the measurement of DBD half-life of $^{136}$Xe using the PandaX-4T dual-phase Time Projection Chamber (TPC) with 3.7-tonne natural xenon and the first 94.9-day physics data release. The background model in the fiducial volume is well constrained in situ by events in the outer active region. With a $^{136}$Xe exposure of 15.5 kg-year, we establish the half-life as $2.27 \pm 0.03 (stat.)\pm 0.10 (syst.)\times 10^{21}$ years. This is the first DBD half-life measurement with natural xenon and demonstrates the physics capability of a large-scale liquid xenon TPC in the field of rare event searches., Comment: 6 pages, 4 figures
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- 2022
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47. A search for two-component Majorana dark matter in a simplified model using the full exposure data of PandaX-II experiment
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Yuan, Ying, Abdukerim, Abdusalam, Bo, Zihao, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Chen, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Fu, Changbo, Fu, Mengting, Geng, Lisheng, Giboni, Karl, Gu, Linhui, Guo, Xuyuan, Han, Ke, He, Changda, He, Jinrong, Huang, Di, Huang, Yanlin, Huang, Zhou, Hou, Ruquan, Ji, Xiangdong, Ju, Yonglin, Li, Chenxiang, Li, Mingchuan, Li, Shu, Li, Shuaijie, Lin, Qing, Liu, Jianglai, Lu, Xiaoying, Luo, Lingyin, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Shaheed, Nasir, Ning, Xuyang, Qi, Ningchun, Qian, Zhicheng, Ren, Xiangxiang, Shang, Changsong, Shen, Guofang, Si, Lin, Sun, Wenliang, Tan, Andi, Tao, Yi, Wang, Anqing, Wang, Meng, Wang, Qiuhong, Wang, Shaobo, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Zhou, Wu, Mengmeng, Wu, Weihao, Xia, Jingkai, Xiao, Mengjiao, Xiao, Xiang, Xie, Pengwei, Yan, Binbin, Yan, Xiyu, Yang, Jijun, Yang, Yong, Yu, Chunxu, Yuan, Jumin, Zhang, Dan, Zhang, Minzhen, Zhang, Peng, Zhang, Tao, Zhao, Li, Zheng, Qibin, Zhou, Jifang, Zhou, Ning, Zhou, Xiaopeng, and Zhou, Yong
- Subjects
High Energy Physics - Experiment ,High Energy Physics - Phenomenology - Abstract
In the two-component Majorana dark matter model, one dark matter particle can scatter off the target nuclei, and turn into a slightly heavier component. In the framework of a simplified model with a vector boson mediator, both the tree-level and loop-level processes contribute to the signal in direct detection experiment. In this paper, we report the search results for such dark matter from PandaX-II experiment, using total data of the full 100.7 tonne$\cdot$day exposure. No significant excess is observed, so strong constraints on the combined parameter space of mediator mass and dark matter mass are derived. With the complementary search results from collider experiments, a large range of parameter space can be excluded.
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- 2022
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48. Study of background from accidental coincidence signals in the PandaX-II experiment
- Author
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Collaboration, PandaX-II, Abdukerim, Abdusalam, Chen, Wei, Chen, Xun, Chen, Yunhua, Cheng, Chen, Cui, Xiangyi, Fan, Yingjie, Fang, Deqing, Fu, Changbo, Fu, Mengting, Geng, Lisheng, Giboni, Karl, Gu, Linhui, Guo, Xuyuan, Han, Ke, He, Changda, Huang, Di, Huang, Yan, Huang, Yanlin, Huang, Zhou, Ji, Xiangdong, Ju, Yonglin, Li, Shuaijie, Liu, Huaxuan, Liu, Jianglai, Ma, Wenbo, Ma, Yugang, Mao, Yajun, Meng, Yue, Ni, Kaixiang, Ning, Jinhua, Ning, Xuyang, Ren, Xiangxiang, Shang, Changsong, Si, Lin, Shen, Guofang, Tan, Andi, Wang, Anqing, Wang, Hongwei, Wang, Meng, Wang, Qiuhong, Wang, Siguang, Wang, Wei, Wang, Xiuli, Wang, Zhou, Wu, Mengmeng, Wu, Shiyong, Wu, Weihao, Xia, Jingkai, Xiao, Mengjiao, Xie, Pengwei, Yan, Binbin, Yang, Jijun, Yang, Yong, Yu, Chunxu, Yuan, Jumin, Yuan, Ying, Zeng, Xinning, Zhang, Dan, Zhang, Tao, Zhao, Li, Zheng, Qibin, Zhou, Jifang, Zhou, Ning, and Zhou, Xiaopeng
- Subjects
High Energy Physics - Experiment ,Physics - Data Analysis, Statistics and Probability ,Physics - Instrumentation and Detectors - Abstract
The PandaX-II experiment employed a 580kg liquid xenon detector to search for the interactions between dark matter particles and the target xenon atoms. The accidental coincidences of isolated signals result in a dangerous background which mimic the signature of the dark matter. We performed a detailed study on the accidental coincidence background in PandaX-II, including the possible origin of the isolated signals, the background level and corresponding background suppression method. With a boosted-decision-tree algorithm, the accidental coincidence background is reduced by 70% in the dark matter signal region, thus the sensitivity of dark matter search at PandaX-II is improved., Comment: 20 pages, 12 figures in main text and 5 figures in the appendix. Accepted by Chinese Physics C
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- 2022
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49. Spatial transcriptomics: recent developments and insights in respiratory research
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Wang, Wen-Jia, Chu, Liu-Xi, He, Li-Yong, Zhang, Ming-Jing, Dang, Kai-Tong, Gao, Chen, Ge, Qin-Yu, Wang, Zhou-Guang, and Zhao, Xiang-Wei
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- 2023
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50. Effects of health education during public health emergencies on the health literacy, emotion and coping style of Chinese junior middle school students: a randomized controlled trial
- Author
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Wang, Zhou, Gao, Tingye, Li, Guangjian, Dong, Gengjuan, Zhan, Yan, Wang, Bingqin, and Sun, Xugui
- Published
- 2023
- Full Text
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