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| 1 | Extraction and purification of the polysaccharides in Hippohaere rhamnoides L.显示文摘The different extraction technology and purification technology of Hippohpae rhamoides polysaccharides were researched in the paper.The best method of papain extraction were obtained,the ratio of papain 2%,pH at 5.5,temperature at 45℃and extraction time of 20 min were suitable for papain extraction.The highest content of Hippohpae rhamoides polysaccharides was 44.28 mg·g^(-1). The optimum process of ultrasonic extraction were obtained,namely extracted for 55 min at 480 W with the material ratio of 1:20. The highest content of Hippohpae rhamoides polysaccharides was 48.63 mg·g^(-1).The results showed that the ultrasonic and papain extraction together was the best method,the content was 54.30 mg·g^(-1).After the removing protein,pigment and dialysis.Two fraction were separated from the purified Hippohpae rhamoides by DEAE-cellulose chromatography,the main fraction was collected finally. The fraction was identified by Sepharose CL-4B gel filtration.Ultraviolet spectrometry,freeze-thawing analysis showed that fraction was purified.Its molecular weight was probably 109.4 ku. | XU Yaqin JIN Ting YU Zeyuan FU Hong | 2007 | Journal of Northeast Agricultural University(English Edition)2007，14，2： | 3 |
| 2 | Inversion of the three-dimensional temperature structure of mesoscale eddies in the Northwest Pacific based on deep learning显示文摘Mesoscale eddies,which are mainly caused by baroclinic effects in the ocean,are common oceanic phenomena in the Northwest Pacific Ocean and play very important roles in ocean circulation,ocean dynamics and material energy transport.The temperature structure of mesoscale eddies will lead to variations in oceanic baroclinity,which can be reflected in the sea level anomaly(SLA).Deep learning can automatically extract different features of data at multiple levels without human intervention,and find the hidden relations of data.Therefore,combining satellite SLA data with deep learning is a good way to invert the temperature structure inside eddies.This paper proposes a deep learning algorithm,eddy convolution neural network(ECN),which can train the relationship between mesoscale eddy temperature anomalies and sea level anomalies(SLAs),relying on the powerful feature extraction and learning abilities of convolutional neural networks.After obtaining the temperature structure model through ECN,according to climatic temperature data,the temperature structure of mesoscale eddies in the Northwest Pacific is retrieved with a spatial resolution of 0.25°at depths of 0–1000 m.The overall accuracy of the ECN temperature structure is verified using Argo profiles at the locations of cyclonic and anticyclonic eddies during 2015–2016.Taking 10%error as the acceptable threshold of accuracy,89.64%and 87.25%of the cyclonic and anticyclonic eddy temperature structures obtained by ECN met the threshold,respectively. | Fangjie Yu Zeyuan Wang Shuai Liu Ge Chen | 2021 | Acta Oceanologica Sinica2021，40，10： | 2 |
| 3 | Effects of GA3 and ABA on the respiratory pathways during the secondary bud burst in black currants显示文摘The effects of exogenous gibberellic acid(GA_3)and abscisic acid(ABA) on the total respiratory rate, percentages of total respiratory rate contributed by respiratory pathways [Embden-Meyerhof-Parnas Pathway(EMP),Pentose Phosphate Pathway(PPP), and Tricarboxylic Acid Cycle(TCA)], and conversion of starch to soluble sugars in the buds of black currants during secondary bud burst were investigated to determine the relationship between respiratory rates and secondary bud burst. ‘Adelinia', a black currant cultivar that is prone to secondary bud burst after the first harvest, was used in this study. Mature bushes of Adelinia were sprayed with 30 mg/L GA_3 and 50 mg/L ABA to manipulate bud burst. The results showed that exogenous applications of GA_3 and ABA had opposite effects on bud respiratory rate. Generally, GA_3 treatment increased the total respiratory rate and respiratory rate of the TCA and PPP, and the respiratory rates after GA_3 treatment were higher than those of control. While ABA treatment mostly decreased the total respiratory rate and the respiratory rate of TCA and PPP in buds in comparison to control. In terms of the percentage of the three respiratory rates in comparison to the total respiratory rate, GA_3 treatment significantly increased the percentage of TCA and PPP respiratory rate in comparison to the control(P \ 0.01), whereas ABA decreased the rates. GA_3 significantly increased the content of soluble sugars and decreased the starch content, while the starch content in buds after ABA treatment was significantly higher than that of the control. All results showed that PPP is a critical process for the second bud burst in black currants. While the EMP–TCA pathway is still dominant in bud respiration,provides a series of basic materials and energy(ATP). The conversion of starch to soluble sugars is essential for bud burst. Thus, we conclude that an energy shortage is a main contributor in ABA inhibition of the secondary bud burst of black currants. | Dong Qin Huanhuan Wang Chunhao Zhang Zeyuan Yu Yu Gary Gao Fuchun Xie Ning Hung Junwei Huo | 2017 | Journal of Forestry Research2017，28，4： | 2 |
| 4 | Role of government subsidies in the new energy vehicle charging infrastructure industry:a three-party game perspective显示文摘With the new round of scientific and technological revolution and industrial transformation,China has posited the direction of“new infrastructure”in 2020.As one of the seven major industries of the“new infrastructure”,the charging infrastructure(CI)industry not only supports the upgrade of the new energy vehicle industry but also provides developing platforms for emerging industries,such as wireless charging,energy storage,smart microgrid,and new energy consumption.Therefore,the government’s supporting role is crucial for the CI industry.To effectively explore the effectiveness of government’s subsidy policy in the CI industry and promote its healthy development,we employed a game model and discussed the government's evolution process of different game strategies between CI and battery-swapping station(BSS)operators in this study.First,China's government subsidies for the electric vehicle(EV)industry were classified into CIs and BSSs.The subsidies obtained by the CI operators were operating subsidies,whereas those obtained by BSSs were investment subsidies.Second,a game model was constructed,involving the government,operators,and users.The model used backward induction to seek the refined Nash equilibrium solution for CIs and BSS operators.The Nash equilibrium solution indicated that the optimal investment amount and BSS quantity of the operator were positively correlated with the government subsidy intensity.When the profitability of the operators increased and the amount of the subsidies increased,consumers’willingness to use EVs increased and the policy effects were closely related to the benefits of government management.The decisions made by either the users or the operators were inversely related to the operators’management efficiency.Besides,the subsidy policy was affected by the government management.Therefore,in the implementation stage of the government’s future subsidy policies,the government needs to innovate and improve management effectiveness.The government could use subsidy policies as a driving force for developing the CI industry to build a comprehensive ecosystem of the industry,which is also the next key point for the government to promote the development of the CI industry in the future. | Weizhong Yue Yingqi Liu Yu Tong Zeyuan Song | 2021 | Chinese Journal of Population,Resources and Environment2021，19，2： | 1 |
| 5 | All‐Metallic Vertical Transistors Based on Stacked Dirac Materials显示文摘 | Yangyang Wang Zeyuan Ni Qihang Liu Ruge Quhe Jiaxin Zheng Meng Ye Dapeng Yu Junjie Shi Jinbo Yang Ju Li Jing Lu | 2015 | Adv. Funct. Mater2015，，： | 1 |
| 6 | A new household ultrasonic cleaning method for pyrethroids in cabbage显示文摘Pyrethroid is widely used in developing countries and is a potential threat to human health.So putting forward an effective pyrethroid cleaning method is of vital importance.Clearance of fenpropathrin,cypermethrin and deltamethrin in cabbage by using ultrasonic treatment accompanied with different baking soda concentrations were investigated in this study.The results of response surface methodology showed that the maximum clearance rate was 70.61% for fenpropathrin under the optimal power,treated time,treated temperature and baking soda concentration,which were 260.02 W,10 min,20.15◦C and 0.014 g/mL,respectively.Similarly,the maximum removal efficiency was 73.72% for cypermethrin under 240 W,13.84 min,19.53℃ and 0.014 g/mL,and 92.15%for deltamethrin under 238.99 W,12.42 min,25℃ and 0.013 g/mL.The clearance rate of pyrethroid by this method was significant higher(P<0.05)than traditional cleaning methods(bathing and running water washing).The contents of the compositions such as vitamin C,total soluble sugar,protein and dietary fiber,texture and sensory evaluation of cabbage were not found obvious changes after the ultrasonic treatment combined with baking soda(P>0.05).Results showed that ultrasonic treatment combined with baking soda was an effective way to eliminate the fenpropathrin,cypermethrin and deltamethrin in cabbage without influencing cabbage quality. | Chengwei Yu Xu Huang Yawei Fan Zeyuan Deng | 2020 | Food Science and Human Wellness2020，9，3： | 1 |
| 7 | Bound lipase:an important form of lipase in rice bran (Oryza sativa)显示文摘Rice bran residue possessed a steady lipase activity((26.68 ± 3.69)%)after its endogenous lipase was extracted continuously by phosphate buffer solution(PBS)for 24 h. T herefore, the aim of this research was to explore whether there exist any bound lipases in rice bran(Oryza sativa). Three physical treatments(grinding, homogenizing and ultrasound crush)and 6 enzymatic treatments(cellulase, hemicellulase, pectinase, complex cellulase, glucoamylase and α-amylase)were applied to rice bran in order to investigate this bound lipase. The relative catalytic activities of extraction supernatant and residue for pectinase group were(437.63 ± 22.54)% and(159.26 ± 2.12)%, respectively, which were significantly higher(P < 0.05)than other groups. This phenomenon demonstrated that lipase was the most likely to combine with pectin. Molecular simulation proved that pectin could combine with two rice bran lipases(lipase 315 and lipase 308)and cover the catalytic centers so as to prevent the lipases from encountering the substrate and inhibiting their catalytic activities. During combination, pectin could make the lipases more compact and reduce the solvent accessible surface area of lipases, which would make the lipases inactive to molecular interaction. In summary, part of rice bran lipase was proved to exist in bound form and combined with the pectin. | Chengwei Yu Bin Peng Ting Luo Zeyuan Deng | 2023 | Food Science and Human Wellness2023，12，5： | 0 |
| 8 | Feasibility and physics potential of detecting ^(8)B solar neutrinos at JUNO显示文摘The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main detector.Some of JUNO's features make it an excellent location for^8B solar neutrino measurements,such as its low-energy threshold,high energy resolution compared with water Cherenkov detectors,and much larger target mass compared with previous liquid scintillator detectors.In this paper,we present a comprehensive assessment of JUNO's potential for detecting^8B solar neutrinos via the neutrino-electron elastic scattering process.A reduced 2 MeV threshold for the recoil electron energy is found to be achievable,assuming that the intrinsic radioactive background^(238)U and^(232)Th in the liquid scintillator can be controlled to 10^(-17)g/g.With ten years of data acquisition,approximately 60,000 signal and 30,000 background events are expected.This large sample will enable an examination of the distortion of the recoil electron spectrum that is dominated by the neutrino flavor transformation in the dense solar matter,which will shed new light on the inconsistency between the measured electron spectra and the predictions of the standard three-flavor neutrino oscillation framework.IfDelta m^(2)_(21)=4.8times10^(-5);(7.5times10^(-5))eV^(2),JUNO can provide evidence of neutrino oscillation in the Earth at approximately the 3sigma(2sigma)level by measuring the non-zero signal rate variation with respect to the solar zenith angle.Moreover,JUNO can simultaneously measureDelta m^2_(21)using^8B solar neutrinos to a precision of 20% or better,depending on the central value,and to sub-percent precision using reactor antineutrinos.A comparison of these two measurements from the same detector will help understand the current mild inconsistency between the value of Delta m^2_(21)reported by solar neutrino experiments and the KamLAND experiment. | Angel Abusleme Thomas Adam Shakeel Ahmad Sebastiano Aiello Muhammad Akram Nawab Ali Fengpeng An Guangpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Andrej Babic Wander Baldini Andrea Barresi Eric Baussan Marco Bellato Antonio Bergnoli Enrico Bernieri David Biare Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Max Buesken Mario Buscemi Jose Busto Ilya Butorov Anatael Cabrera Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Jinfan Chang Yun Chang Pingping Chen Po-An Chen Shaomin Chen Shenjian Chen Xurong Chen Yi-Wen Chen Yixue Chen Yu Chen Zhang Chen Jie Cheng Yaping Cheng Alexander Chepurnov Davide Chiesa Pietro Chimenti Artem Chukanov Anna Chuvashova Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Salvatore Costa Flavio Dal Corso Christophe De La Taille Jiawei Deng Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Georgy Donchenko Jianmeng Dong Damien Dornic Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Lukas Fajt Donghua Fan Lei Fan Can Fang Jian Fang Marco Fargetta Anna Fatkina Dmitry Fedoseev Vladko Fekete Li-Cheng Feng Qichun Feng Richard Ford Andrey Formozov Amélie Fournier Haonan Gan Feng Gao Alberto Garfagnini Alexandre Göttel Christoph Genster Marco Giammarchi Agnese Giaz Nunzio Giudice Franco Giuliani Maxim Gonchar Guanghua Gong Hui Gong Oleg Gorchakov Yuri Gornushkin Marco Grassi Christian Grewing Maxim Gromov Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Nunzio Guardone Maria Gul Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yang Han Miao He Wei He Tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera Daojin Hong YuenKeung Hor Shaojing Hou Yee Hsiung Bei-Zhen Hu Hang Hu Jianrun Hu Jun Hu Shouyang Hu Tao Hu Zhuojun Hu Chunhao Huang Guihong Huang Hanxiong Huang Qinhua Huang Wenhao Huang Xingtao Huang Yongbo Huang Jiaqi Hui Wenju Huo Cédric Huss Safeer Hussain Antonio Insolia Ara Ioannisian Daniel Ioannisyan Roberto Isocrate Kuo-Lun Jen Xiaolu Ji Xingzhao Ji Huihui Jia Junji Jia Siyu Jian Di Jiang Xiaoshan Jiang Ruyi Jin Xiaoping Jing Cécile Jollet Jari Joutsenvaara Sirichok Jungthawan Leonidas Kalousis Philipp Kampmann Li Kang Michael Karagounis Narine Kazarian Amir Khan Waseem Khan Khanchai Khosonthongkee Patrick Kinz Denis Korablev Konstantin Kouzakov Alexey Krasnoperov Svetlana Krokhaleva Zinovy Krumshteyn Andre Kruth Nikolay Kutovskiy Pasi Kuusiniemi Tobias Lachenmaier Cecilia Landini Sébastien Leblanc Frederic Lefevre Liping Lei Ruiting Lei Rupert Leitner Jason Leung Demin Li Fei Li Fule Li Haitao Li Huiling Li Jiaqi Li Jin Li Kaijie Li Mengzhao Li Nan Li Nan Li Qingjiang Li Ruhui Li Shanfeng Li Shuaijie Li Tao Li Weidong Li Weiguo Li Xiaomei Li Xiaonan Li Xinglong Li Yi Li Yufeng Li Zhibing Li Ziyuan Li Hao Liang Hao Liang Jingjing Liang Jiajun Liao Daniel Liebau Ayut Limphirat Sukit Limpijumnong Guey-Lin Lin Shengxin Lin Tao Lin Jiajie Ling Ivano Lippi Fang Liu Haidong Liu Hongbang Liu Hongjuan Liu Hongtao Liu Hu Liu Hui Liu Jianglai Liu Jinchang Liu Min Liu Qian Liu Qin Liu Runxuan Liu Shuangyu Liu Shubin Liu Shulin Liu Xiaowei Liu Yan Liu Alexey Lokhov Paolo Lombardi Claudio Lombardo Kai Loo Chuan Lu Haoqi Lu Jingbin Lu Junguang Lu Shuxiang Lu Xiaoxu Lu Bayarto Lubsandorzhiev Sultim Lubsandorzhiev Livia Ludhova Fengjiao Luo Guang Luo Pengwei Luo Shu Luo Wuming Luo Vladimir Lyashuk Qiumei Ma Si Ma Xiaoyan Ma Xubo Ma Jihane Maalmi Yury Malyshkin Fabio Mantovani Francesco Manzali Xin Mao Yajun Mao Stefano MMari Filippo Marini Sadia Marium Cristina Martellini Gisele Martin-Chassard Agnese Martini Davit Mayilyan Axel Müller Ints Mednieks Yue Meng Anselmo Meregaglia Emanuela Meroni David Meyhöfer Mauro Mezzetto Jonathan Miller Lino Miramonti Salvatore Monforte Paolo Montini Michele Montuschi Nikolay Morozov Pavithra Muralidharan Massimiliano Nastasi Dmitry VNaumov Elena Naumova Igor Nemchenok Alexey Nikolaev Feipeng Ning Zhe Ning Hiroshi Nunokawa Lothar Oberauer Juan Pedro Ochoa-Ricoux Alexander Olshevskiy Domizia Orestano Fausto Ortica Hsiao-Ru Pan Alessandro Paoloni Nina Parkalian Sergio Parmeggiano Teerapat Payupol Yatian Pei Nicomede Pelliccia Anguo Peng Haiping Peng Frédéric Perrot Pierre-Alexandre Petitjean Fabrizio Petrucci Luis Felipe Piñeres Rico Oliver Pilarczyk Artyom Popov Pascal Poussot Wathan Pratumwan Ezio Previtali Fazhi Qi Ming Qi Sen Qian Xiaohui Qian Hao Qiao Zhonghua Qin Shoukang Qiu Muhammad Rajput Gioacchino Ranucci Neill Raper Alessandra Re Henning Rebber Abdel Rebii Bin Ren Jie Ren Taras Rezinko Barbara Ricci Markus Robens Mathieu Roche Narongkiat Rodphai Aldo Romani Bedřich Roskovec Christian Roth Xiangdong Ruan Xichao Ruan Saroj Rujirawat Arseniy Rybnikov Andrey Sadovsky Paolo Saggese Giuseppe Salamanna Simone Sanfilippo Anut Sangka Nuanwan Sanguansak Utane Sawangwit Julia Sawatzki Fatma Sawy Michaela Schever Jacky Schuler Cédric Schwab Konstantin Schweizer Dmitry Selivanov Alexandr Selyunin Andrea Serafini Giulio Settanta Mariangela Settimo Muhammad Shahzad Vladislav Sharov Gang Shi Jingyan Shi Yongjiu Shi Vitaly Shutov Andrey Sidorenkov FedorŠimkovic Chiara Sirignano Jaruchit Siripak Monica Sisti Maciej Slupecki Mikhail Smirnov Oleg Smirnov Thiago Sogo-Bezerra Julanan Songwadhana Boonrucksar Soonthornthum Albert Sotnikov Ondrej Sramek Warintorn Sreethawong Achim Stahl Luca Stanco Konstantin Stankevich DušanŠtefánik Hans Steiger Jochen Steinmann Tobias Sterr Matthias Raphael Stock Virginia Strati Alexander Studenikin Gongxing Sun Shifeng Sun Xilei Sun Yongjie Sun Yongzhao Sun Narumon Suwonjandee Michal Szelezniak Jian Tang Qiang Tang Quan Tang Xiao Tang Alexander Tietzsch Igor Tkachev Tomas Tmej Konstantin Treskov Andrea Triossi Giancarlo Troni Wladyslaw Trzaska Cristina Tuve Stefan van Waasen Johannes van den Boom Guillaume Vanroyen Nikolaos Vassilopoulos Vadim Vedin Giuseppe Verde Maxim Vialkov Benoit Viaud Cristina Volpe Vit Vorobel Lucia Votano Pablo Walker Caishen Wang Chung-Hsiang Wang En Wang Guoli Wang Jian Wang Jun Wang Kunyu Wang Lu Wang Meifen Wang Meng Wang Ruiguang Wang Siguang Wang Wei Wang Wenshuai Wang Xi Wang Xiangyue Wang Yangfu Wang Yaoguang Wang Yi Wang Yifang Wang Yuanqing Wang Yuman Wang Zhe Wang Zheng Wang Zhimin Wang Zongyi Wang Apimook Watcharangkool Lianghong Wei Wei Wei Yadong Wei Liangjian Wen Christopher Wiebusch Steven Chan-Fai Wong Bjoern Wonsak Diru Wu Fangliang Wu Qun Wu Wenjie Wu Zhi Wu Michael Wurm Jacques Wurtz Christian Wysotzki Yufei Xi Dongmei Xia Yuguang Xie Zhangquan Xie Zhizhong Xing Benda Xu Donglian Xu Fanrong Xu Jilei Xu Jing Xu Meihang Xu Yin Xu Yu Xu Baojun Yan Xiongbo Yan Yupeng Yan Anbo Yang Changgen Yang Huan Yang Jie Yang Lei Yang Xiaoyu Yang Yifan Yang Haifeng Yao Zafar Yasin Jiaxuan Ye Mei Ye Ugur Yegin Frédéric Yermia Peihuai Yi Xiangwei Yin Zhengyun You Boxiang Yu Chiye Yu Chunxu Yu Hongzhao Yu Miao Yu Xianghui Yu Zeyuan Yu Chengzhuo Yuan Ying Yuan Zhenxiong Yuan Ziyi Yuan Baobiao Yue Noman Zafar Andre Zambanini Pan Zeng Shan Zeng Tingxuan Zeng Yuda Zeng Liang Zhan Feiyang Zhang Guoqing Zhang Haiqiong Zhang Honghao Zhang Jiawen Zhang Jie Zhang Jingbo Zhang Peng Zhang Qingmin Zhang Shiqi Zhang Tao Zhang Xiaomei Zhang Xuantong Zhang Yan Zhang Yinhong Zhang Yiyu Zhang Yongpeng Zhang Yuanyuan Zhang Yumei Zhang Zhenyu Zhang Zhijian Zhang Fengyi Zhao Jie Zhao Rong Zhao Shujun Zhao Tianchi Zhao Dongqin Zheng Hua Zheng Minshan Zheng Yangheng Zheng Weirong Zhong Jing Zhou Li Zhou Nan Zhou Shun Zhou Xiang Zhou Jiang Zhu Kejun Zhu Honglin Zhuang Liang Zong Jiaheng Zou | 2021 | Chinese Physics C2021，45，2： | 0 |
| 9 | Multi-parametric Sensitivity Analysis of Improved Transformer Thermal Models Considering Nonlinear Effect of Oil Time Constant显示文摘This paper aims to develop an approach to investigating the effect of a particular parameter on the output accuracy of transformer thermal models,i.e.sensitivity analysis,which can not only reveal the most sensitive parameter of a thermal model but also improve model output accuracies.For the first time,the nonlinear time constant(NTC)of transformer oil is proposed to reshape three practical top-oil temperature models based on an expression of nonlinear thermal conductance:the modified IEEE clause 7 model,Swift’s model,and Susa’s model.Then,the multi-parametric sensitivity analysis(MPSA)is undertaken to reveal the effect of each parameter on the model output accuracy.Through onsite data validation,the results show that the accuracy performance of the proposed NTC thermal models are improved significantly by considering the nonlinear effect of oil time constant.Moreover,the derived sensitivity performances can clearly reveal the most dominant parameter of the model,so as to simplify the model parameter identification process by reducing the number of insensitive parameters.Finally,the heat-run test data is used as a reference to validate parameters optimized through a genetic algorithm(GA),which demonstrates that the proposed NTC IEEE model has not only one sensitive parameter but also superior accuracy performance. | Tong Qian Qianlong Wei Zeyuan Yu Wenhu Tang Qing-Hua Wu | 2023 | CSEE Journal of Power and Energy Systems2023，9，5： | 0 |
| 10 | Measurement of proton quenching in a LAB-based liquid scintillator显示文摘Background The linear alkylbenzene has been recently used as the solvent of liquid scintillator by several neutrino experiments.The nonlinear energy response induced by the ionization quenching is critical in this kind of detectors.An empirical model proposed by Birks is commonly used to describe the quenching effect;however,recently,the parameter kB in the model is found to be particle dependent.Purpose To improve the understanding of proton quenching in LS detectors.Methods A 14 MeV D–T compact neutron generator is deployed which can provide recoil protons with kinetic energies ranging from 0.5 to 13 MeV in LS.Results The parameter kB is extracted by fitting the data to the Birks’law prediction with careful examination of systematic uncertainties.Conclusion The measurement will contribute to the in-depth understanding of the energy nonlinearity in liquid scintillator detectors. | Masheng Yang Zeyuan Yu Jun Cao Xilei Sun Boxiang Yu Guangpeng An | 2019 | Radiation Detection Technology and Methods2019，3，1： | 0 |
| 11 | Peridynamic Study on Fracture Mode and Crack Propagation Path of a Plate with Multiple Cracks Subjected to Uniaxial Tension显示文摘How to simulate fracture mode and crack propagation path in a plate with multiple cracks is an attractive but difficult issue in fracture mechanics.Peridynamics is a recently developed nonlocal continuum formulation that can spontaneously predict the crack nucleation,branch and propagation in materials and structures through a meshfree discrete technique.In this paper,the peridynamic motion equation with boundary traction is improved by simplifying the boundary transfer functions.We calculate the critical cracking load and the fracture angles of the plate with multiple cracks under uniaxial tension.The results are consistent with those predicted by classical fracture mechanics.The fracture mode and crack propagation path are also determined.The calculation shows that the brittle fracture process of the plate with multiple cracks can be conveniently and correctly simulated by the peridynamic motion equation with boundary conditions. | Zeyuan Zhou Ming Yu Xinfeng Wang Zaixing Huang | 2023 | Computer Modeling in Engineering & Sciences2023，137，12： | 0 |
| 12 | Dual bulk and interface engineering with ionic liquid for enhanced performance of ambient-processed inverted CsPbI 3 perovskite solar cells显示文摘All-inorganic cesium lead iodide(CsPbI_(3))perovskites with superior thermal stability are attractive candidates for perovskite solar cells(PSCs).Fabricating such inorganic PSCs in the ambient atmosphere is desirable for practical production,however,the challenge remains in inhibiting the phase transition of CsPbI_(3) in ambient air.Herein,we demonstrate a dual bulk and interface engineering using ionic liquid to stabilize CsPbI_(3) perovskite structure,thus enhancing the performance of ambient-processed inverted CsPbI_(3) PSCs.Such dual bulk and interface engineering is found effective not only in suppressing the bulk and interfacial charge carrier recombination and enhancing charge carrier transport and extraction,but also in protecting CsPbI_(3) crystal structure by leaving hydrophobic alkyl chains coverage at the boundary and surface to prevent phase transition caused by moisture from ambient air.The optimized device fully processed in the open air with relative humidity up to 55%exhibits remarkably enhanced efficiency and stability over the control device,with the efficiency increasing from 8.6%to 13.21%,and 92%efficiency maintaining after storage for 1680 h,which outperforms the control device with only 82%retaining after 648 h storage.We thus believe this work can provide an efficient alternative for the low-cost fabrication of ambient-processible PSCs. | Kun Wang Zeyuan Su Yali Chen Heng Qi Ting Wang Hao Wang Youqian Zhang Li Cao Qian Ye Fobao Huang Yu Tong Hongqiang Wang | 2022 | Journal of Materials Science & Technology2022，，19： | 0 |
| 13 | Modeling and Analyzing of Breast Tumor Deterioration Process with Petri Nets and Logistic Regression显示文摘It is important to understand the process of cancer cell metastasis and some cancer characteristics that increase disease risk.Because the occurrence of the disease is caused by many factors,and the pathogenesis process is also complicated.It is necessary to use interpretable and visual modeling methods to characterize this complex process.Machine learning techniques have demonstrated extraordinary capabilities in identifying models and extracting patterns from data to improve medical prognostic decisions.However,in most cases,it is unexplainable.Using formal methods to model can ensure the correctness and understandability of prediction decisions in a certain extent,and can well visualize the analysis process.Coloured Petri Nets(CPN)is a powerful formal model.This paper presents a modeling approach with CPN and machine learning in breast cancer,which can visualize the process of cancer cell metastasis and the impact of cell characteristics on the risk of disease.By evaluating the performance of several common machine learning algorithms,we finally choose the logistic regression algorithm to analyze the data,and integrate the obtained prediction model into the CPN model.Our method allows us to understand the relations among the cancer cell metastasis and clearly see the quantitative prediction results. | Xuyue Wang Wangyang Yu Zeyuan Ding Xiaojun Zhai Sangeet Saha | 2022 | Complex System Modeling and Simulation2022，2，3： | 0 |
| 14 | Secure Short-Packet Transmission in Uplink Massive MU-MIMO Assisted URLLC Under Imperfect CSI显示文摘Ultra-reliable and low-latency communication(URLLC)is still in the early stage of research due to its two strict and conflicting requirements,i.e.,ultra-low latency and ultra-high reliability,and its impact on security performance is still unclear.Specifically,short-packet communication is expected to meet the delay requirement of URLLC,while the degradation of reliability caused by it makes traditional physical-layer security metrics not applicable.In this paper,we investigate the secure short-packet transmission in uplink massive multiuser multiple-inputmultiple-output(MU-MIMO)system under imperfect channel state information(CSI).We propose an artificial noise scheme to improve the security performance of the system and use the system average secrecy throughput(AST)as the analysis metric.We derive the approximate closed-form expression of the system AST and further analyze the system asymptotic performance in two regimes.Furthermore,a one-dimensional search method is used to optimize the maximum system AST for a given pilot length.Numerical results verify the correctness of theoretical analysis,and show that there are some parameters that affect the tradeoff between security and latency.Moreover,appropriately increasing the number of antennas at the base station(BS)and transmission power at user devices(UDs)can increase the system AST to achieve the required threshold. | Tian Yu Xiaoli Sun Yueming Cai Zeyuan Zhu | 2023 | China Communications2023，20，12： | 0 |
| 15 | Minimizing Age of Information in the Uplink Multi-User Networks via Dynamic Bandwidth Allocation显示文摘Improving the information freshness is critical for the monitoring and controlling applications in the cellular Internet of Things(IoT).In this paper,we are interested in optimizing the bandwidth allocation dynamically to improve the information freshness of the short packet based uplink status updates,which is characterized by a recently proposed metric,age of information(Ao I).We first design a status update scheme with channel distribution information(CDI).By relaxing the hard bandwidth constraint and introducing a Lagrangian multiplier,we first decouple the multi-MTCD bandwidth allocation problem into a single MTCD Markov decision process(MDP).Under the MDP framework,after variable substitution,we obtain the single-MTCD status update scheme by solving a linear programming problem.Then,we adjust the Lagrangian multiplier to make the obtained scheme satisfy the relaxed bandwidth constraint.Finally,a greedy policy is built on the proposed scheme to adjust the bandwidth allocation in each slot to satisfy the hard bandwidth constraint.In the unknown environment without CDI,we further design a bandwidth allocation scheme which only maximizes the expected sum Ao I drop within each time slot.Simulation results show that in terms of AoI,the proposed schemes outperform the benchmark schemes. | Zeyuan Zhu Xinrong Guan Baoquan Yu Tian Yu Yueming Cai | 2023 | China Communications2023，20，4： | 0 |
| 16 | Single-nucleus transcriptomic profiling of multiple organs in a rhesus macaque model of SARS-CoV-2 infection显示文摘Infection with severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) causes diverse clinical manifestations and tissue injuries in multiple organs.However, cellular and molecular understanding of SARS-CoV-2 infection-associated pathology and immune defense features in different organs remains incomplete. Here, we profiled approximately 77 000single-nucleus transcriptomes of the lung, liver,kidney, and cerebral cortex in rhesus macaques(Macaca mulatta) infected with SARS-CoV-2 and healthy controls. Integrated analysis of the multiorgan dataset suggested that the liver harbored the strongest global transcriptional alterations. We observed prominent impairment in lung epithelial cells, especially in AT2 and ciliated cells, and evident signs of fibrosis in fibroblasts. These lung injury characteristics are similar to those reported in patients with coronavirus disease 2019(COVID-19).Furthermore, we found suppressed MHC class I/II molecular activity in the lung, inflammatory response in the liver, and activation of the kynurenine pathway,which induced the development of an immunosuppressive microenvironment. Analysis of the kidney dataset highlighted tropism of tubule cells to SARS-CoV-2, and we found membranous nephropathy(an autoimmune disease) caused by podocyte dysregulation. In addition, we identified the pathological states of astrocytes and oligodendrocytes in the cerebral cortex, providing molecular insights into COVID-19-related neurological implications. Overall, our multi-organ single-nucleus transcriptomic survey of SARS-CoV-2-infected rhesus macaques broadens our understanding of disease features and antiviral immune defects caused by SARS-CoV-2 infection,which may facilitate the development of therapeutic interventions for COVID-19. | Qiang Ma Wenji Ma Tian-Zhang Song Zhaobo Wu Zeyuan Liu Zhenxiang Hu Jian-Bao Han Ling Xu Bo Zeng Bosong Wang Yinuo Sun Dan-Dan Yu Qian Wu Yong-Gang Yao Yong-Tang Zheng Xiaoqun Wang | 2022 | Zoological Research2022，43，6： | 0 |
| 17 | NIR-activated nanosystems with self-modulated bacteria targeting for enhanced biofilm eradication and caries prevention显示文摘The efficacious delivery of antimicrobial drugs to intractable oral biofilms remains a challenge due to inadequate biofilm penetration and lack of pathogen targeting.Herein,we have developed a microenvironment-activated poly(ethylene glycol)(PEG)-sheddable nanoplatform to mediate targeted delivery of drugs into oral biofilms for the efficient prevention of dental caries.The PEGylated nanoplatform with enhanced biofilm penetration is capable of deshielding the PEG layer under slightly acidic conditions in a PEG chain length-dependent manner to re-expose the bacteria-targeting ligands,thereby facilitating targeted codelivery of ciprofloxacin(CIP)and IR780 to the bacteria after accumulation within biofilms.The nanoplatform tends to induce bacterial agglomeration and suffers from degradation in the acidic oral biofilm microenvironment,triggering rapid drug release on demand around bacterial cells.The self-modulating nanoplatform under near-infrared(NIR)irradiation accordingly displays greatly augmented potency in oral biofilm penetration and disruption compared with drugs alone.Topical oral treatment with nanoplatforms involving synergetic pharmacological and photothermal/photodynamic trinary therapy results in robust biofilm dispersion and efficacious suppression of severe tooth decay in rats.This versatile nanoplatform can promote local accumulation and specific drug transport into biofilms and represents a new paradigm for targeted drug delivery for the management of oral biofilm-associated infections. | Yunjian Yu Yufei Zhang Yijie Cheng Yuxia Wang Zeyuan Chen Haonan Sun Xiaosong Wei Zhuang Ma Jie Li Yayun Bai Zhongming Wu Xinge Zhang | 2022 | Bioactive Materials2022，7，7： | 0 |
| 18 | Dimensionally confined nanosheets self-assembled through self-shielding multiple hydrogen bonding interactions in aqueous media显示文摘Herein,we adopt a simple supramolecular strategy to effectively control the tautomerism of ureidopyrimidinone(UPy)moiety and ultimately realize the complete arrangement of enol configuration.The obtained UPy derivatives containing self-complementary quadruple hydrogen bonding interactions can spontaneously self-assemble towards the formation of well-controlled,self-organized supramolecular nanostructure morphologies in both chloroform and water.The resulting aggregates had been fully characterized by various spectroscopy(absorption,emission)and microscopy(TEM,SEM and AFM)studies.It is anticipated that this study can provide an exact and excellent monomeric unit for controllable and precise supramolecular polymerization.The results achieved here also demonstrate the utility and feasibility of multiple hydrogen bonds to direct the self-assembly of small-molecule building blocks in aqueous media,which provides a strategy for the construction of well-defined and stable supramolecular architectures with chemical functionalities and physical properties as advanced materials for biological applications. | Jing Zhang Shuaiwei Qi Hao Yu Ze Lin Bao Li Ming Wang Zeyuan Dong | 2022 | Chinese Chemical Letters2022，33，11： | 0 |
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