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190 results on '"Qiu, Yuqin"'

1. A Learning-Based Approach to Approximate Coded Computation

Author

Agrawal, Navneet, Qiu, Yuqin, Frey, Matthias, Bjelakovic, Igor, Maghsudi, Setareh, Stanczak, Slawomir, and Zhu, Jingge

Subjects
Computer Science - Information Theory, Computer Science - Machine Learning
Abstract

Lagrange coded computation (LCC) is essential to solving problems about matrix polynomials in a coded distributed fashion; nevertheless, it can only solve the problems that are representable as matrix polynomials. In this paper, we propose AICC, an AI-aided learning approach that is inspired by LCC but also uses deep neural networks (DNNs). It is appropriate for coded computation of more general functions. Numerical simulations demonstrate the suitability of the proposed approach for the coded computation of different matrix functions that are often utilized in digital signal processing., Comment: Submitted to IEEE Information Theory Workshop (ITW) 2022

Published
2022

5. Preparation and In Vitro/In Vivo Characterization of Mixed-Micelles-Loaded Dissolving Microneedles for Sustained Release of Indomethacin.

Author

Wang, Baojie, Liao, Langkun, Liang, Huihui, Chen, Jiaxin, and Qiu, Yuqin

Subjects
TRANSDERMAL medication, ADJUVANT arthritis, RHEUMATOID arthritis, PLASMA stability, ANTI-inflammatory agents
Abstract

Background/Objectives: Indomethacin (IDM) is commonly used to treat chronic inflammatory diseases such as rheumatoid arthritis and osteoarthritis. However, long-term oral IDM treatment can harm the gastrointestinal tract. This study presents a design for encapsulating IDM within mixed micelles (MMs)-loaded dissolving microneedles (DMNs) to improve and sustain transdermal drug delivery. Methods: Indomethacin-loaded mixed micelles (IDM-MMs) were prepared from Soluplus® and Poloxamer F127 by means of a thin-film hydration method. The MMs-loaded DMNs were fabricated using a two-step molding method and evaluated for storage stability, insertion ability, in vitro release, in vitro transdermal penetration, and in vivo PK/PD studies. Results: The obtained MMs were stable at 4 °C and 30 °C for 60 days. The in vitro IDM transdermal penetration was remarkably improved by the MMs-loaded DMNs compared to a commercial patch. A pharmacokinetic study demonstrated that the MMs-loaded DMNs had a relative bioavailability of 4.1 in comparison with the commercial patch. Furthermore, the MMs-loaded DMNs showed a significantly shorter lag time than the commercial patch, as well as a more stable plasma concentration than the DMNs without MMs. The therapeutic efficacy of the IDM DMNs was examined in Complete Freund's Adjuvant-induced arthritis mice. The IDM DMN treatment effectively reduced arthritis severity, resulting in decreased paw swelling, arthritis index, spleen hyperplasia, and serum IL-1β and TNF-α levels. Conclusions: Our findings demonstrated that the novel MMs-loaded DMNs were an effective strategy for sustained IDM release, providing an alternate route of anti-inflammatory drug delivery. [ABSTRACT FROM AUTHOR]

Published
2024
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6. Ultrasonication-Induced Preparation of High-Mechanical-Strength Microneedles Using Stable Silk Fibroin.

Author

Liang, Huihui, Chen, Jiaxin, Qiu, Guirong, Guo, Bohong, and Qiu, Yuqin

Subjects
TRANSDERMAL medication, SILK fibroin, X-ray diffraction, SONICATION, MECHANICAL heat treatment
Abstract

Silk fibroin (SF) is an ideal material for microneedle (MN) preparation. However, long extraction and short storage durations limit its application. Furthermore, MNs prepared from SF alone are easy to break during skin insertion. In this study, a regenerated SF solution was autoclaved and freeze-dried to produce a stable and water-soluble SF sponge. The freeze-dried SF (FD-SF) solution was ultrasonically treated before being used in the fabrication of MNs. The ultrasonically modified SFMNs (US-SFMNs) were evaluated in comparison to FD-SFMNs made from FD-SF and conventional SFMNs made from regenerated SF. The results indicated that the FD-SF could be completely dissolved in water and remained stable even after 8 months of storage. FTIR and XRD analyses showed that SF in US-SFMNs had increased β-sheet content and crystallization compared to FD-SFMNs, by 7.3% and 8.1%, respectively. The US-SFMNs had higher mechanical strength than conventional SFMNs and FD-SFMNs, with a fracture force of 1.55 N per needle and a rat skin insertion depth of 370 μm. The US-SFMNs also demonstrated enhanced transdermal drug delivery and enzymatic degradation in vitro. In conclusion, the autoclaving and freeze drying of SF, as well as ultrasonication-induced MN preparation, provide promising SF-based microneedles for transdermal drug delivery. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Correction: TET2–STAT3–CXCL5 nexus promotes neutrophil lipid transfer to fuel lung adeno-to-squamous transition

Author

Xue, Yun, primary, Chen, Yuting, additional, Sun, Sijia, additional, Tong, Xinyuan, additional, Chen, Yujia, additional, Tang, Shijie, additional, Wang, Xue, additional, Bi, Simin, additional, Qiu, Yuqin, additional, Zhao, Qiqi, additional, Qin, Zhen, additional, Xu, Qin, additional, Ai, Yingjie, additional, Chen, Leilei, additional, Zhang, Beizhen, additional, Liu, Zhijie, additional, Ji, Minbiao, additional, Lang, Meidong, additional, Chen, Luonan, additional, Xu, Guoliang, additional, Hu, Liang, additional, Ye, Dan, additional, and Ji, Hongbin, additional

Published
2024
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9. TET2–STAT3–CXCL5 nexus promotes neutrophil lipid transfer to fuel lung adeno-to-squamous transition

Author

Xue, Yun, primary, Chen, Yuting, additional, Sun, Sijia, additional, Tong, Xinyuan, additional, Chen, Yujia, additional, Tang, Shijie, additional, Wang, Xue, additional, Bi, Simin, additional, Qiu, Yuqin, additional, Zhao, Qiqi, additional, Qin, Zhen, additional, Xu, Qin, additional, Ai, Yingjie, additional, Chen, Leilei, additional, Zhang, Beizhen, additional, Liu, Zhijie, additional, Ji, Minbiao, additional, Lang, Meidong, additional, Chen, Luonan, additional, Xu, Guoliang, additional, Hu, Liang, additional, Ye, Dan, additional, and Ji, Hongbin, additional

Published
2024
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30. Kernel-Based Reinforcement Learning

Author

Hu, Guanghua, Qiu, Yuqin, Xiang, Liming, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Huang, De-Shuang, editor, Li, Kang, editor, and Irwin, George William, editor

Published
2006
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