Search

Your search keyword '"Li, Huijun"' showing total 3,531 results
Start Over Author "Li, Huijun"
3,531 results on '"Li, Huijun"'

1. Purification of Gaussian States by Photon Subtraction

Author

Zhang, Kun, Li, Huijun, Jing, Jietai, Treps, Nicolas, and Walschaers, Mattia

Subjects
Quantum Physics, Physics - Optics
Abstract

Photon subtraction can enhance entanglement, which for pure states induces a decrease in the purity of reduced states. In contrast, by analyzing the purities of Gaussian states before and after subtracting a single photon, we prove that the purity of a Gaussian state can also be increased by less than 20%. On the one hand, it reveals that photon subtraction can reduce entanglement, and on the other hand, it reveals that it can achieve a limited amount of Gaussian state purification. Through the analysis of some examples, we demonstrate the inherent mechanism and applicable scope of photon-subtraction-based purification. In a multimode system, we find that photon subtraction can increase entanglement and purify some of the reduced states simultaneously. We thus present purification through the suppression of Gaussian noise as a new application for photon subtraction in continuous-variable quantum information processing., Comment: 7 pages, 3 figures, comments welcome!

Published
2024

3. Learning Multimodal Confidence for Intention Recognition in Human-Robot Interaction

Author

Zhao, Xiyuan, Li, Huijun, Miao, Tianyuan, Zhu, Xianyi, Wei, Zhikai, and Song, Aiguo

Subjects
Computer Science - Robotics, Computer Science - Human-Computer Interaction, Computer Science - Machine Learning
Abstract

The rapid development of collaborative robotics has provided a new possibility of helping the elderly who has difficulties in daily life, allowing robots to operate according to specific intentions. However, efficient human-robot cooperation requires natural, accurate and reliable intention recognition in shared environments. The current paramount challenge for this is reducing the uncertainty of multimodal fused intention to be recognized and reasoning adaptively a more reliable result despite current interactive condition. In this work we propose a novel learning-based multimodal fusion framework Batch Multimodal Confidence Learning for Opinion Pool (BMCLOP). Our approach combines Bayesian multimodal fusion method and batch confidence learning algorithm to improve accuracy, uncertainty reduction and success rate given the interactive condition. In particular, the generic and practical multimodal intention recognition framework can be easily extended further. Our desired assistive scenarios consider three modalities gestures, speech and gaze, all of which produce categorical distributions over all the finite intentions. The proposed method is validated with a six-DoF robot through extensive experiments and exhibits high performance compared to baselines.

Published
2024
Full Text
View/download PDF

8. Research and analysis on layer state distribution of EDI membrane block ion exchange resin

Author

YUAN Guoquan, LI Huijun, ZHANG Jiangtao, JIANG Guoce, YIN Ping, DONG Juan, LIU Deqing, SHEN Weiqing, ZHOU Jiacai, and LI Meizhen

Subjects
edi, membrane blocks, ion exchange resin, layer state distribution, hydrolysis protection layer, Environmental technology. Sanitary engineering, TD1-1066
Abstract

In order to master the distribution law of each layer state of the ion exchange resin in the EDI membrane block, this paper firstly analyzed the working principles and characteristics of the migration failure layer, exchange stability layer and hydrolysis protection layer of EDI ion exchange resin. Then, the effects of influent conductivity and operating current on the layer state distribution were tested through experiments. The results showed that the thickness of the hydrolytic protection layer was negatively correlated with the influent conductivity and positively correlated with the operating current. The hydrolysis protection layer was the key point to ensure the quality of product water from EDI membrane block. When the influent conductivity was less than 10 µS/cm (25 ℃), the ratio of the hydrolytic protective layer thickness to the thickness of the whole resin layer was ≥11.43%, which could well ensure that the conductivity of product water from EDI membrane block was

Published
2024
Full Text
View/download PDF

20. A local translation program regulates centriole amplification in the airway epithelium.

Author

Liu, Helu, Li, Huijun, Jiang, Zhihua, Jin, Shibo, Song, Rui, Yang, Ying, Li, Jun, Huang, Jingshu, Zhang, Xiaoqing, Dong, Xuesong, Mori, Munemasa, Fritzler, Marvin, He, Lin, Cardoso, Wellington, and Lu, Jining

Subjects
Centrioles, MicroRNAs, Proteins, Epithelium, RNA, Messenger
Abstract

Biogenesis of organelles requires targeting of a subset of proteins to specific subcellular domains by signal peptides or mechanisms controlling mRNA localization and local translation. How local distribution and translation of specific mRNAs for organelle biogenesis is achieved remains elusive and likely to be dependent on the cellular context. Here we identify Trinucleotide repeat containing-6a (Tnrc6a), a component of the miRNA pathway, distinctively localized to apical granules of differentiating airway multiciliated cells (MCCs) adjacent to centrioles. In spite of being enriched in TNRC6A and the miRNA-binding protein AGO2, they lack enzymes for mRNA degradation. Instead, we found these apical granules enriched in components of the mRNA translation machinery and newly synthesized proteins suggesting that they are specific hubs for target mRNA localization and local translation in MCCs. Consistent with this, Tnrc6a loss of function prevented formation of these granules and led to a broad reduction, rather than stabilization of miRNA targets. These included downregulation of key genes involved in ciliogenesis and was associated with defective multicilia formation both in vivo and in primary airway epithelial cultures. Similar analysis of Tnrc6a disruption in yolk sac showed stabilization of miRNA targets, highlighting the potential diversity of these mechanisms across organs.

Published
2023

22. Research on Sodium Storage Mechanism of Sodium Ion Batteries with High Entropy Oxide (FeCoNiCuMn)3O4/CNT as Anode

Author

XIAO Zehua, LI Huijun, TIAN Qin, and WANG Xiaomin

Subjects
high entropy oxide, sodium ion batteries, carbon nanotube, in situ xrd, energy storage, Chemical engineering, TP155-156, Materials of engineering and construction. Mechanics of materials, TA401-492, Technology
Abstract

Purposes Exploration of anode materials with excellent electrochemical properties is essential to improve the performance of sodium ion batteries (SIBs). High-entropy oxides (HEO), with their unique structural characteristics, tailorable chemical composition, and tunable functional properties, have drawn increasing interest in the fields of environmental science and renewable energy technology. However, when HEO are directly used as anode materials for SIBs, a problem of agglomeration limits the electrochemical performance. In general, carbon nanotubes (CNT) are used to optimize battery performance because of their high electrical conductivity and good mechanical stability. Methods Spinel-type high-entropy oxide (FeCoNiCuMn)3O4/CNT composites (HEO/CNT) with space group Fd-3m have been synthesized through hydrothermal treatment followed by annealing method. Findings As the anode material in SIBs, at a current density of 0.5 A/g, HEO/CNT has a reversible capacity of 231 mAh/g after 200 cycles. Additionally, the HEO/CNT exhibits high reversible capacities of 363.3, 350, 341.1, 310.2, and 290.2 mAh/g at the current densities 0.1, 0.2, 0.5, 1, and 2 A/g, respectively. In situ X-ray diffraction analysis has been employed to reveal that the sodium ion storage process is a result of a combined Na＋ intercalation and conversion reaction between Na＋ and HEO/CNT. Conclusions Thanks to the “high entropy effect” of the high entropy oxide/carbon material, the volume change of the active material is mitigated during the charge/discharge process. Therefore, HEO/CNT is expected to be an electrode material with good sodium storage performance. This work provides a new template strategy for the application of high entropy materials.

Published
2024
Full Text
View/download PDF

23. List of contributors

Author

Alves, Cristiano L., primary, Bañon Garcia, Fermin, additional, Basak, Animesh, additional, Batista, Moises, additional, Davim, J. Paulo, additional, del Sol, Irene, additional, Dong, Jinlei, additional, Fernandes, Fábio A.O., additional, Fernández Vidal, Severo Raúl, additional, Gürgen, Selim, additional, Huang, Chenguang, additional, Jahan, M.P., additional, Karim, M.A., additional, Kaya, Esad, additional, Kuşhan, Melih Cemal, additional, Kılıçay, Koray, additional, Li, Huijun, additional, Pan, Zengxi, additional, Parveez, Bisma, additional, Paul, Abin, additional, Paul, Lijo, additional, Pereira, António B., additional, Pradeep, P.V., additional, Prakash, Chander, additional, Pramanik, Alokesh, additional, Qiu, Zhijun, additional, Roldan Jimenez, Luis, additional, Salguero, Jorge, additional, Sert, Abdullah, additional, Sheikhi, Mohammad Rauf, additional, Subramaniam, Shankar, additional, Valerga Puerta, Ana Pilar, additional, van Duin, Stephen, additional, Vazquez, Juan Manuel, additional, Wang, Zhiyang, additional, Wexler, David, additional, Wu, Bintao, additional, Wu, Xianqian, additional, and Zhu, Hanliang, additional

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results