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| 1 | Efficient arbitrated quantum signature and its proof of security显示文摘 | LI Qin LI Chengqing LONG Dongyang | 2013 | Quantum Inf Process2013，12，7： | 1 |
| 2 | An Efficient Certificateless Signature from Pairings显示文摘 | Wang Changji Long Dongyang Tang Yong | 2009 | International Journal of Network Security2009，8，1： | 1 |
| 3 | Quantum Private Comparison Protocol Based on Cluster States显示文摘 | Zhiwei Sun Dongyang Long | 2013 | International Journal of Theoretical Physics2013，，1： | 1 |
| 4 | Improved DCT-based detection of copy-move forgery in images显示文摘 | Yanping Huang Wei Lu Wei Sun Dongyang Long | 2010 | Forensic Science International2010，，1： | 1 |
| 5 | K-p-Infix Codes and Semaphore Codes显示文摘 | LONG Dongyang JIA Weijia MA Jian | 2001 | Discrete Applied Mathematics2001，109，3： | 1 |
| 6 | Product of Finite Maximal P-codes显示文摘 | LONG Dongyang JIA Weijia LIANG Zhang | 2002 | International Journal of Computer Mathematics2002，79，8： | 1 |
| 7 | Arbitrated quantum signature scheme using Bell states 显示文摘 | Li Qin Chan W H Long Dongyang | 2009 | Physics Review A2009，79，5： | 1 |
| 8 | Improved DCT-based detection of copy-move forgery in images显示文摘 | Yanping Huang Wei Lu Wei Sun Dongyang Long | 2010 | Forensic Science International2010，，1： | 1 |
| 9 | K-p-Infix Codes and Semaphore Codes显示文摘 | Long Dongyang Jia Weijia Ma Jian | 2001 | Discrete Applied Mathematic s2001，109，3： | 1 |
| 10 | Product of nite maximal P-codes显示文摘 | Long Dongyang Jia Weijia Zhang Liang | 2002 | International Journal of Computer Mathermtics2002，79，8： | 1 |
| 11 | A New Efficient On-line/Off-line Threshold Signature Scheme显示文摘 | WU Chunhui CHEN Xiaofeng LONG Dongyang | 2009 | Chinese Journal of Electronics2009，18，2： | 1 |
| 12 | Product of finite maximal P-codes 显示文摘 | Long Dongyang Jia Weijia Zhang Liang | 2002 | Intemational Journal of Computer Mathermtics2002，79，8： | 1 |
| 13 | K- p-Infix Codes and Semaphore Codes 显示文摘 | Dongyang Long Weijia Jia Jian Ma Duanning Zhou | 2001 | Discrete Applied Mathematics2001，109，3： | 1 |
| 14 | An Efficient Certificateless Signature from Pairing显示文摘 | Wang Changji Long Dongyang Tang Yong | 2009 | International Journal of Network Security2009，8，1： | 1 |
| 15 | Hydrogel electrodes with conductive and substrate-adhesive layers for noninvasive long-term EEG acquisition显示文摘Noninvasive brain–computer interfaces (BCIs) show great potential in applications including sleep monitoring, fatigue alerts, neurofeedback training, etc. While noninvasive BCIs do not impose any procedural risk to users (as opposed to invasive BCIs), the acquisition of high-quality electroencephalograms (EEGs) in the long term has been challenging due to the limitations of current electrodes. Herein, we developed a semidry double-layer hydrogel electrode that not only records EEG signals at a resolution comparable to that of wet electrodes but is also able to withstand up to 12 h of continuous EEG acquisition. The electrode comprises dual hydrogel layers: a conductive layer that features high conductivity, low skin-contact impedance, and high robustness;and an adhesive layer that can bond to glass or plastic substrates to reduce motion artifacts in wearing conditions. Water retention in the hydrogel is stable, and the measured skin-contact impedance of the hydrogel electrode is comparable to that of wet electrodes (conductive paste) and drastically lower than that of dry electrodes (metal pin). Cytotoxicity and skin irritation tests show that the hydrogel electrode has excellent biocompatibility. Finally, the developed hydrogel electrode was evaluated in both N170 and P300 event-related potential (ERP) tests on human volunteers. The hydrogel electrode captured the expected ERP waveforms in both the N170 and P300 tests, showing similarities in the waveforms generated by wet electrodes. In contrast, dry electrodes fail to detect the triggered potential due to low signal quality. In addition, our hydrogel electrode can acquire EEG for up to 12 h and is ready for recycled use (7-day tests). Altogether, the results suggest that our semidry double-layer hydrogel electrodes are able to detect ERPs in the long term in an easy-to-use fashion, potentially opening up numerous applications in real-life scenarios for noninvasive BCI. | Hailing Xue Dongyang Wang Mingyan Jin Hanbing Gao Xuhui Wang Long Xia Dong’ang Li Kai Sun Huanan Wang Xufeng Dong Chi Zhang Fengyu Cong Jiaqi Lin | 2023 | Microsystems & Nanoengineering2023，9，3： | 0 |
| 16 | Inflammation responsive tofacitinib loaded albumin nanomedicine for targeted synergistic therapy in ulcerative colitis显示文摘Patients with ulcerative colitis(UC)often loss responses over long term usage of conventional therapies.Tofacitinib,a pan-Janus kinases(JAK)inhibitor is approved for moderate to severe UC treatment,while dose-limiting systemic side effects including infections,cancers and lymphoma limit its popularity of clinical application.This study sought to construct an anti-mucosal vascular addressin cell-adhesion molecule-1(anti-MAdCAM-1)antibody modified reactive oxygen species(ROS)responsive human serum albumin-based nanomedicine denoted as THM,to improve the therapeutic efficacy of tofacitinib for UC treatment.THM has the drug releasing properties in response to ROS stimulation.In vitro studies show that THM selectively adhered to the endothelial cells and had obvious anti-inflammatory effect on macrophages.Meanwhile,the nanomedicine can inhibit the phenotypic switching of M1 macrophages and promote M2 polarization to produce anti-inflammatory medicators during wound healing.In addition,in vivo fluorescence imaging verified that THM exhibited enhanced preferential accumulation and extended retention in inflamed colon.Moreover,THM significantly reduced the production of proinflammatory cytokines in the colon and suppressed the homing of T cells to the gut in dextran sodium sulfate induced experimental colitis.This work elucidates that the inflamed colon-targeted delivery of tofacitinib by nanomedicine is promising for UC treatment and sheds light on addressing the unmet medical need. | Bang Li Xiaoyan Liu Qi Long Xiaoduan Zhuang Yanfei Gao Barkat Ali Haoting Chen Dongyang Zhang Xinying Wang Weisheng Guo | 2023 | Nano Research2023，16，7： | 0 |
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