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Journal of Pharmaceutical Analysis 2022年第1期12卷 122-128页

作者： Jiagen Li Xinming Li pengwei xie Peng Liu State Key Laboratory of Applied Organic Chemistry College of Chemistry and Chemical EngineeringLanzhou UniversityLanzhou730000China

A mixed drug self-delivery system(DSDS)with high drug content(>50%)was developed to regulate pHtriggered drug release,based on two doxorubicin(DOX)-DOX dimmers:D-DOX_(ADH) and D-DOX_(car) conjugated with acid-labile dynamic covalent bonds(hydrazone and carbamate,respectively)and stabilized with PEGylated D-DOX_(ADH)(D-DOX_(ADH)-PEG).Owing to the different stability of the dynamic covalent bonds in the two dimers and the noncovalent interaction between them,pH-triggered drug release could be easily regulated by adjusting the feeding ratios of the two DOX-DOX dimers in the mixed *** in vitro cellular toxicity was achieved with the mixed DSDS nanoparticles prepared with different feeding *** mixed DSDS nanoparticles had a similar DOX content and diameter but different drug releasing *** MTT assays revealed that a high anti-tumor efficacy could be achieved with the slowrelease mixed DSDS nanoparticles.

关键词： Drug self-delivery system Regulated drug release Doxorubicin-doxorubicin dimer Acid-triggered release Mixed nanoparticles

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Research on Intent-Slot Recognition Algorithm Based on Knowledge Graph and User Topic

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Research on Intent-Slot Recognition Algorithm Based on Knowl...

ADFNet: A two-branch robotic grasping network based on attention mechanism

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作者： Nan Hao pengwei xie Bo Chen School of Automation Beijing Institute of Technology

In this article, we propose a joint recognition method of intention and slot. The model can directly obtain the user’s intention and slot information through the user’s historical interaction information, knowledge graph and current input. In this method, we first use a knowledge reasoning module based on user topic and knowledge graph. The topic model is used to filter the user’s historical information, remove meaningless chat information, retain the most important topic information, and further obtain the external information vector from the knowledge graph which is helpful for current intention recognition and slot *** addition, we use attention mechanism modules to fuse the historical information, external knowledge vector and sentence features, and suppress the invalid part of external information. Experiments on the data sets show that our method can effectively improve the accuracy of intention recognition and F value of slot filling.

关键词： Intent recognition Knowledge graph User topic Slot filling

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ADFNet: A two-branch robotic grasping network based on atten...

An attention-based RGBD dual-branch gesture recognition network

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作者： pengwei xie Nan Hao Bo Chen Beijing Institute of Technology School of Automation Key Laboratory of Complex System Intelligent Control and Decision

One of the challenges of RGB-D-based robotic grasping technology is how to make full use of these two complementary heterogeneous data sources while ensuring real-time performance. The existing robotic grasping methods mainly extract information from single-mode images or use a one-branch network to process RGB and depth images. These methods are insufficient in fully fusing the effective information of the two modes, which limits the anti-jamming performance. In this work,we propose Attention Dense Fusion Network（ADFNet）, a novel RGB-D based robotic grasping system that directly predicts the optimal grasping pose from RGB-D images. Our system uses a two-branch network with a heterogeneous framework that processes RGB and depth image information separately and retain the original structure of each data source. After applying dense fusion networks at different scales, the high-dimensional features in the RGB and depth branches are embedded and fused at the pixel level. Besides, we incorporate attention mechanisms to effectively suppress the independent background regions of the feature map and enhance the significant features, which improves the prediction accuracy. We conduct qualitative and quantitative experiments on the standard Cornell Grasp Dataset. The experimental results show that ADFNet can effectively improve the prediction accuracy to 98.9 %, which is better than existing methods while ensuing real-time performance.

关键词： robotic grasping RGB-D attention mechanism

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An attention-based RGBD dual-branch gesture recognition netw...

用于睡眠精准分期的多模态生理时频特征提取网络

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作者： Bo Chen pengwei xie Nan Hao Beijing Institute of Technology School of Automation Key Laboratory of Complex System Intelligent Control and Decision

In this work,we use a hierarchical architecture based on detector-classifier for gesture recognition *** the operation of the architecture,the detector,which is essentially the switch of the classifier,is always *** the output of the detector is true,then the classifier is activated and returns a classification label for the input video *** work focuses on the improvement of detectors and *** the detector,we introduce an attention mechanism to guide the network to focus on the space and channel where the gesture is *** the classifier,based on the RGB information stream,we use an independent branch to extract the features of the depth stream,and finally merge the two *** gestures move in a three-dimensional space,depth information can make up for the lack of RGB *** show that on the Egogesture test set,our detector achieves 98.86% accuracy on RGB input,while the classifier achieves 93.85% *** the same time,our gesture recognition architecture can fully meet the real-time requirements.

关键词： Gesture Recognition RGBD feature fusion attention mechanism real-time

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生物医学工程学杂志 2024年第1期41卷 26-33页

作者：胡凯蕾陈景霞张鹏伟雪雯谢佳陕西科技大学电子信息与人工智能学院西安710021

睡眠分期对临床疾病诊断以及睡眠质量评估至关重要。现有睡眠分期方法大多通过单通道或单模态信号,使用单分支深层卷积网络进行特征提取,这不仅阻碍了睡眠相关多样性特征的捕获,增加了计算代价,而且对睡眠分期的准确率也有一定的影响。... 详细信息

睡眠分期对临床疾病诊断以及睡眠质量评估至关重要。现有睡眠分期方法大多通过单通道或单模态信号,使用单分支深层卷积网络进行特征提取,这不仅阻碍了睡眠相关多样性特征的捕获,增加了计算代价,而且对睡眠分期的准确率也有一定的影响。为解决这一问题,本文提出一种端到端的用于睡眠精准分期的多模态生理时频特征提取网络(MTFF-Net)。首先,利用短时傅里叶变换(STFT)将包含脑电(EEG)、心电(ECG)、眼电(EOG)、肌电(EMG)的多模态生理信号转换为二维时频特征图;然后,使用多尺度EEG紧凑卷积网络(Ms-EEGNet)与双向门控循环(Bi-GRU)网络相结合的时频特征提取网络,捕获与睡眠特征波形相关的多尺度频谱特征以及与睡眠阶段转换相关的时序特征。根据美国睡眠医学学会(AASM)EEG睡眠分期判据,该模型在科英布拉大学系统与机器人研究所第三组子睡眠数据集(ISRUC-S3)上的五分类任务中取得了84.3%的准确率,其宏观F1分数(m-F1)的值为83.1%,科恩卡帕(Cohen's Kappa)系数为79.8%。实验结果表明,本文所提模型实现了更高的分类准确率,推进了深度学习算法在辅助临床决策中的应用。

关键词：睡眠分期生理信号多模态多尺度双向门控循环网络

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果胶酶与半纤维素酶复合酶解制备费约果果汁的工艺优化

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食品工业科技 2024年第3期45卷 179-186页

作者：李远蓬朱棚伟何慧谢雨彤翁静陈其阳王丹西南科技大学生命科学与工程学院四川绵阳621010

为减少费约果细胞壁中果胶和半纤维素等物质对果汁品质的负面影响,提高果汁出汁率,本文研究了复合酶(半纤维素酶和果胶酶)比例、加酶量、温度、时间对“Unique U-100”费约果果汁出汁率和可溶性固形物的影响。在单因素实验的基础上,进... 详细信息

为减少费约果细胞壁中果胶和半纤维素等物质对果汁品质的负面影响,提高果汁出汁率,本文研究了复合酶(半纤维素酶和果胶酶)比例、加酶量、温度、时间对“Unique U-100”费约果果汁出汁率和可溶性固形物的影响。在单因素实验的基础上,进行四因素三水平的响应面优化。结果显示:在复合酶(半纤维素酶/果胶酶)比例为2.14:1,加酶量19.6 g/L,酶解温度56.8℃,酶解时间92 min的条件下,费约果果实出汁率最高,为79.5%,与模型预测值相对误差为5.67%;果汁中可溶性固形物含量为15.7%,与模型预测值相对误差为0.83%。此外,与直接压榨的费约果果汁相比,酶解后的果汁表现出更高的澄清度、总酚含量(24.4 mg GAE/100 g)和VC含量(2.42 mg/100 g)。因此,本研究优化了复合酶酶解制备费约果果汁的工艺,提高费约果果汁出汁率和营养品质,可为后续费约果果汁深加工提供理论依据。

关键词：费约果果汁果胶酶半纤维素酶工艺优化

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High-rate sodium metal batteries enabled by trifluormethylfullerene additive

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Nano Research 2022年第8期15卷 7172-7179页

作者： Pengju Li Xiaobo Huang Zhipeng Jiang Han Zhang pengwei Yu Xing Lu Jia xie State Key Laboratory of Materials Processing and Die&Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074China

Sodium metal is a promising anode for sodium batteries due to its high theoretical capacity and low ***,the serious Na dendrite growth and low Coulombic efficiency,especially at high current densities/cycling capacities,severely limit the application of sodium metal ***,trifluoromethylfullerene,C_(60)(CF_(3))_(6),is designed as an electrolyte additive to enable the high-rate cycling of sodium metal anodes with high Coulombic *** CF3 groups contribute to the formation of stable NaF-rich solid electrolyte interface layer,while C_(60)cages induce the uniform distribution of sodium ions and promote the formation of smooth and compact ***,Na||Cu cell with C_(60)(CF_(3))_(6)can be cycled at 2 mA·cm^(−2)and 10 mAh·cm^(−2)over 180 cycles with an average Coulombic efficiency of 99.9%,and Na||Na cell can be cycled at 10 mA·cm^(−2)over 600 ***,Na||NaV2(PO_(4))_(3)@C full cell exhibits high capacity retention of 84%over 2,000 cycles at 20 C(~3 mA·cm^(−2)).

关键词： sodium metal anode fullerene trifluormethylfullerene high rate electrolyte additive

Detecting neutrinos from supernova bursts in PandaX-4T

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Chinese Physics C 2024年第7期48卷 14-21页

作者：庞彬宇阿布都沙拉木·阿布都克力木薄子豪陈葳谌勋程晨成兆侃崔祥仪樊英杰方德清符长波付孟婷耿立升 Karl Giboni 顾琳慧郭绪元韩晨成韩柯何昶达何金荣黄迪黄彦霖黄俊挺黄周侯汝全侯钰季向东巨永林李晨翔李家富李名川李帅杰李涛林箐刘江来陆聪聪芦晓盈罗棱尹罗云阳马文博马余刚冒亚军孟月宁旭阳祁宁春钱志成任祥祥 Nasir Shaheed 尚晓凤邵熙元申国防司琳孙文良谈安迪陶奕王安庆王萌王秋红王少博王思广王为王秀丽王舟魏月环武蒙蒙邬维浩夏经铠肖梦姣肖翔谢鹏伟燕斌斌颜玺雨杨继军杨勇姚玉坤喻纯旭袁影苑哲鑫宁张丹张敏桢张鹏张世博张澍张涛张洋张瀛心张园园赵力郑其斌周济芳周宁周小朋周永周钰博 New Cornerstone Science Laboratory Tsung-Dao Lee InstituteShanghai Jiao Tong UniversityShanghai200240China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary ScienceShandong UniversityQingdao 266237ShandongChina Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong UniversityQingdao 266237ShandongChina School of Physics and Astronomy Shanghai Jiao Tong UniversityKey Laboratory for Particle Astrophysics and Cosmology(MoE)Shanghai Key Laboratory for Particle Physics and CosmologyShanghai 200240China Shanghai Jiao Tong University Sichuan Research Institute Chengdu 610213China School of Physics Sun Yat-Sen UniversityGuangzhou 510275China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen UniversityZhuhai519082China Department of Physics Yantai UniversityYantai 264005China Key Laboratory of Nuclear Physics and Ion-beam Application(MOE) Institute of Modern PhysicsFudan UniversityShanghai 200433China School of Physics Peking UniversityBeijing 100871China School of Physics Beihang UniversityBeijing 102206China International Research Center for Nuclei and Particles in the Cosmos&Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang UniversityBeijing 100191China School of Physics and Microelectronics Zhengzhou UniversityZhengzhouHenan 450001China Yalong River Hydropower Development Company Ltd.288 Shuanglin RoadChengdu 610051China School of Medical Instrument and Food Engineering University of Shanghai for Science and TechnologyShanghai 200093China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Department of Physics University of MarylandCollege ParkMaryland 20742USA State Key Laboratory of Particle Detection and Electronics University of Science and Technology of ChinaHefei 230026China Department of Modern Physics University of Science and Technology of ChinaHefei 230026China School of Physics Nankai UniversityTian

Neutrinos from core-collapse supernovae are essential for understanding neutrino physics and stellar ***-phase xenon dark matter detectors can be used to track explosions of galactic supernovae by detecting neutrinos through coherent elastic neutrino-nucleus *** this study,a variation of progenitor masses and explosion models are assumed to predict 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-s duration with negligible backgrounds at *** specialized triggering alarms for monitoring supernova burst neutrinos are *** efficiency of detecting supernova explosions at various distances in the Milky Way is *** alarms will be implemented in the real-time supernova monitoring system at PandaX-4T in the near future,which will provide supernova early warnings for the astronomical community.

关键词： core-collapse supernovae neutrinos liquid xenon detectors supernova early warnings

Determination of Double Beta Decay Half-Life of 136Xe with the PandaX-4T Natural Xenon Detector

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Research 2023年第2期2022卷 33-41页

作者： Lin Si Zhaokan Cheng Abdusalam Abdukerim Zihao Bo Wei Chen Xun Chen Yunhua Chen Chen Cheng Yunshan Cheng Xiangyi Cui Yingjie Fan Deqing Fang Changbo Fu Mengting Fu Lisheng Geng Karl Giboni Linhui Gu Xuyuan Guo Ke Han Changda He Jinrong He Di Huang Yanlin Huang Zhou Huang Ruquan Hou Xiangdong Ji Yonglin Ju Chenxiang Li Jiafu Li Mingchuan Li Shu Li Shuaijie Li Qing Lin Jianglai Liu Xiaoying Lu Lingyin Luo Yunyang Luo Wenbo Ma Yugang Ma Yujun Mao Yue Meng Nasir Shaheed Xiaofeng Shang Xuyang Ning Ningchun Qi Zhicheng Qian Xiangxiang Ren Changsong Shang Guofang Shen Wenliang Sun Andi Tan Yi Tao Anqing Wang Meng Wang Qiuhong Wang Shaobo Wang Siguang Wang Wei Wang Xiuli Wang Zhou Wang Yuehuan Wei Mengmeng Wu Weihao Wu Jingkai Xia Mengjiao Xiao Xiang Xiao pengwei xie Binbin Yan Xiyu Yan Yong Yang Chunxu Yu Jumin Yuan Ying Yuan Zhe Yuan Dan Zhang Minzhen Zhang Peng Zhang Shibo Zhang Shu Zhang Tao Zhang Li Zhao Qibin Zheng Jifang Zhou Ning Zhou Xiaopeng Zhou Yong Zhou IMOE Key Laboratory for Particle Astrophysics and Cosmology Shanghai Key Laboratory for Particle Physics and Cosmology School of Physics and AstronomyShanghai Jiao Tong UniversityShanghai 200240China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen UniversityZhuhai 519082China Sichuan Research Institute Shanghai Jiao Tong UniversityChengdu 610213China Yalong River Hydropower Development Company Ltd.288 Shuanglin RoadChengdu 610051China School of Physics Sun Yat-sen UniversityGuangzhou 510275China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary ScienceShandong UniversityQingdao266237 ShandongChina Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong UniversityQingdao266237 ShandongChina Tsung-Dao Lee Institute Shanghai Jiao Tong UniversityShanghai 200240China School of Physics Nankai UniversityTianjin 300071China Key Laboratory NuclearPyics and Ionampplication(MOE)Instituteof ModenPysics Fun Universty Shanghai 200433China School of Physics Peking UniversityBeijing 100871China Schol of Physics Beihang UniversityBejing 100191China International Research Center for Nuclei and Particles in the Cosmos Beijing key Laboratory of Advanced Nuclear Materials and Physics Beihang UniversityBeijing 100191China School of Medical Instrument and Food Engineering University of Shanghai for Science and TechnologyShanghai200093China Department of Physics University of MarylandCollge ParkMaryland 20742USA School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China State Key Laboratoryof Particle Detetion and Electronics University of Scienceand Technology of ChinaHefei230026China Department of Modern Physics University of Science and Technology of ChinaHefei230026China SJTU ParisElite Instute of Technology Shanghai Jiao Tong UniversityShanghai 200240China

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 *** report the measurement of DBD half-life of 136xe 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.

关键词： decay double Determination

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AgI/BiOI异质结光电催化甲醇氧化

山西化工 2024年第7期44卷 4-6,10页

作者：黄鹏伟李静林博王宜民陈仪谢楠耿揭阳职业技术学院化学工程系广东揭阳522000

为提高BiOI光电催化甲醇氧化的效率,本研究采用简单的离子交换法制备了AgI/BiOI复合光催化剂。AgI的负载提高了甲醇氧化的效率,其中光还原时间为10 min时,AgI/BiOI样品光电催化活性最高,甲醛的产率和法拉第效率分别达到0.952μg·mL^(-1... 详细信息

为提高BiOI光电催化甲醇氧化的效率,本研究采用简单的离子交换法制备了AgI/BiOI复合光催化剂。AgI的负载提高了甲醇氧化的效率,其中光还原时间为10 min时,AgI/BiOI样品光电催化活性最高,甲醛的产率和法拉第效率分别达到0.952μg·mL^(-1)·h^(-1)和53%。结果表明,AgI/BiOI复合材料光催化性能增强主要归因于异质结的构建,进而提高了光生载流子的分离效率。活性物种捕获实验揭示了甲醇氧化过程中的可能机理。

关键词：光电催化甲醇氧化 BiOI 异质结

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