|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Influence of coupled boundary layer suction and bowed blade on flow field and performance of a diffusion cascade显示文摘Based on the investigation of mid-span local boundary layer suction and positive bowed cascade, a coupled local tailored boundary layer suction and positive bowed blade method is developed to improve the performance of a highly loaded diffusion cascade with less suction slot. The effectiveness of the coupled method under different inlet boundary layers is also investigated.Results show that mid-span local boundary layer suction can effectively remove trailing edge separation, but deteriorate the flow fields near the endwall. The positive bowed cascade is beneficial for reducing open corner separation, but is detrimental to mid-span flow fields. The coupled method can further improve the performance and flow field of the cascade. The mid-span trailing edge separation and open corner separation are eliminated. Compared with linear cascade with suction, the coupled method reduces overall loss of the cascade by 31.4% at most. The mid-span loss of the cascade decreases as the suction coefficient increases, but increases as bow angle increases. The endwall loss increases as the suction coefficient increases. By contrast, the endwall loss decreases significantly as the bow angle increases. The endwall loss of coupled controlled cascade is higher than that of bowed cascade with the same bow angle because of the spanwise inverse ‘‘C' shaped static pressure distribution. Under different inlet boundary layer conditions, the coupled method can also improve the cascade effectively. | Cao Zhiyuan Liu Bo Zhang Ting Yang Xiqiong Chen Pingping | 2017 | Chinese Journal of Aeronautics2017，30，1： | 12 |
| 2 | Biodegradation of bezafibrate by the activated sludge under aerobic condition:Effect of initial concentration,temperature and pH显示文摘Lab-scale experiments were conducted to investigate the effect of initial concentration,temperature and pH on the removal of bezafibrate(BF)by activated sludge under aerobic condition.The results showed that adsorption of BF onto activated sludge was negligible,and biodegradation was the main removal mechanism of BF.The removal of BF in the aqueous phase by the activated sludge can be described by a pseudo-first-order reaction.The reaction rate constants had a negative relationship with the initial concentration of BF,and dramatically reduced from 0.050 to 0.007 h^-1,when the temperature dropped from 20℃to 10℃.Variation of pH between 5.0 and 9.0 did not have significant influence on the removal of BF,indicating a high adaptation of microorganism in the activated sludge responsible for BF degradation to a wide pH range.The findings of this study are helpful to improve the removal of pharmaceuticals during the wastewater treatment plants by selecting the appropriate process variables,and eventually eliminate their release to the environment. | Qian Sui Pingping Yan Xuqi Cao Shuguang Lu Wentao Zhao Maozhe Chen | 2016 | Emerging Contaminants2016，2，4： | 2 |
| 3 | Thermal evolution effects on the properties of converting Cs-polluted soil into pollucite-base glass-ceramics for radioactive cesium immobilization显示文摘The Fukushima nuclear accident in Japan on March 11,2011,produced large amounts of Cs-polluted soil which must be controlled to prevent the spread of hazardous Cs into the environment.In this paper,the effects of heat treatment on the structure and properties of Cs-containing glass-ceramics,as a simulated nuclear waste form,were systematically investigated.Cesium atoms are chemically bonded in the pollucite structure,and the amorphous phase further encapsulates the pollucite crystals in the glassceramics,thus providing an extra protective layer for the immobilized Cs.XRD analysis,Raman and FT-IR studies on the glass-ceramics synergistically indicated that the optimum crystallization temperature for pollucite is around 1000℃.The pollucite is predominantly the main crystalline phase with a narrow crystal size distribution between 0.5 and 2 mm.Standard leaching test results show that the leaching rate of Cs was very low(3.0×10^(-3) g/(m^(2)·d)).The study offers a practical method for immobilizing Cs in pollucite-base glass-ceramics.Moreover,the experimentally obtained data may provide some important references for converting Cs-polluted soil into pollucite-base glass-ceramics waste form. | Yong Yang Xin Cao Lifen Shi Zhengyi Zhang Pingping Wang Jinwei Li Yangshan Sun Shuyong Chen Tianhe Wang Liyun Ma Shou Peng | 2021 | Journal of Materiomics2021，7，6： | 2 |
| 4 | Phylogenetic and Expression Analyses of With-No-Lysine Kinase Genes Reveal Novel Gene Family Diversity in Fruit Trees显示文摘With-No-Lysine kinases(WNK) have been reported to be associated with plant growth regulation in Arabidopsis, soybean, and rice, but little is known of their roles in fruits. In this study, a total of 114 WNK genes were identified from 8 fruit trees species, and these WNK genes belonged to 2 classes(I and II) that respectively contain 4(A, B, C, D) and 2 groups(E, F). The WNK genes had variable exon-intron structures and were randomly distributed among most chromosomes of each genus. The expression levels of six of the 18 WNK genes in peach were almost undetectable in fruits, suggesting that they may not be associated with fruit development and ripening. Of the other 12 WNK genes, PpWNK.B1 exhibited stronger stability of expression levels than the best reference genes reported previously in fruits from two peach cultivars. These results suggested that PpWNK.B1 could be a reliable reference gene for gene expression studies of peach fruit. Moreover, qRT-PCR assays yielded evidence that when using single reference gene as internal control, mistakes were more possible, indicating that the use of three reference genes is necessary for gene expression studies. Based on the gene expression profiles validated by qRT-PCR, PpWNK.A1 is predicted to likely be involved in fruit ripening, while PpWNK.A2 and PpWNK.E3.1 are likely associated with early fruit development. The present study represented the WNK genes in fruits, and it will be a valuable resource in continuing investigation of gene regulation network during fruit development and ripening. | Suhao Cao Pingping Hao Weishen Shu Guoming Wang Zhihua Xie Chao Gu Shaoling Zhang | 2019 | Horticultural Plant Journal2019，5，2： | 1 |
| 5 | Research on the Pedestrian Re-Identification Method Based on Local Features and Gait Energy Images显示文摘The appearance of pedestrians can vary greatly from image to image,and different pedestrians may look similar in a given image.Such similarities and variabilities in the appearance and clothing of individuals make the task of pedestrian re-identification very challenging.Here,a pedestrian re-identification method based on the fusion of local features and gait energy image(GEI)features is proposed.In this method,the human body is divided into four regions according to joint points.The color and texture of each region of the human body are extracted as local features,and GEI features of the pedestrian gait are also obtained.These features are then fused with the local and GEI features of the person.Independent distance measure learning using the cross-view quadratic discriminant analysis(XQDA)method is used to obtain the similarity of the metric function of the image pairs,and the final similarity is acquired by weight matching.Evaluation of experimental results by cumulative matching characteristic(CMC)curves reveals that,after fusion of local and GEI features,the pedestrian re-identification effect is improved compared with existing methods and is notably better than the recognition rate of pedestrian re-identification with a single feature. | Xinliang Tang Xing Sun Zhenzhou Wang Pingping Yu Ning Cao Yunfeng Xu | 2020 | Computers, Materials & Continua2020，，8： | 1 |
| 6 | Synthesis, characterization, thermal stability and thermo-optical properties of poly(urethane-imide)显示文摘 | Fengxian Qiu Dongya Yang Guorong Cao Rongxian Zhang Pingping Li | 2008 | Sensors & Actuators: B. Chemical2008，，2： | 1 |
| 7 | Transcriptome analysis suggests mechanisms for a novel flowering type: Cleistogamous wheat显示文摘Wheat is one of the most important staple crops worldwide.Fusarium head blight severely reduces wheat yield and quality.Cultivation of a novel type of cleistogamous wheat mutant,ZK001,which was created by static magnetic field treatment,is a new strategy for controlling Fusarium head blight.However,little is known about the mechanism of cleistogamy in wheat.The present study demonstrated that anthers of ZK001 were retained on the glumes at all flowering stages,whereas those of YM18 were extruded from the paleae and lemmae.There was a clear difference in the morphological characteristics of lodicules between YM18 and ZK001.Lodicule calcium and potassium contents were significantly higher in YM18 than in ZK001 from white to yellow anther stages.In Fusarium head blight resistance,the diseased kernel rate and deoxynivalenol content of ZK001 were markedly lower than those of YM18 and QM725.Comparative transcriptome analysis of YM18 and ZK001 was performed to identify regulatory mechanisms of cleistogamy.The main differentially expressed genes identified in the spikelets of YM18 and ZK001 at the green anther stage were associated with cell walls,carbohydrates,phytohormones,water channel,and ion binding,transport,and homeostasis.These differentially expressed genes may play an important role in regulating cellular homeostasis,osmotic pressure,and lodicule development.The results indicate that ZK001 lost the ability to push the lemmae and paleae apart during the flowering stage because of the thin lodicules.ZK001 was speculated to provide structural barriers for Fusarium head blight during the flowering stage.The thin lodicule of ZK001 results from low levels of soluble sugar,calcium ions,and potassium ions in the lodicules.These levels are regulated by differentially expressed genes. | Caiguo Tang Minghao Li Minghui Cao Ruiju Lu Huilan Zhang Chenghong Liu Shengwei Huang Pingping Zhang Hao Hu Weiwei Zhao Lifang Wu | 2020 | The Crop Journal2020，8，2： | 1 |
| 8 | RP5-1148A21.3 (lncRP5) exerts oncogenic function in human ovarian carcinoma显示文摘Ovarian cancer(OC)is a fatal gynecological malignancy that is difficult to diagnose at early stages.Various long non-coding RNAs(lncRNAs)are aberrantly expressed in OC and exert regulatory effects on OC;however,the underlying mechanism requires in-depth investigation.This work is designed to explore the molecular regulatory axis of a newly identified lncRNA in OC,that is,lncRNA RP5-1148A21.3(lncRP5).RT-qPCR shows lncRP5 is significantly upregulated in OC patients and cell lines,and it is mainly located in the cytoplasm of OC cells.The results of CCK-8,colony formation,and transwell assays demonstrate that overexpression of lncRP5 greatly contributes to malignant behaviors of OC cells,while inhibition of lncRP5 shows the opposite effects.Moreover,the binding relationship between lncRP5 and miR-545-5p is predicted by bioinformatics and is further verified by luciferase assay.Functionally,the regulatory effects of lncRP5 and miR-545-3p are negatively related;miR-545-5p serves as a tumor suppressor in OC.Further studies demonstrate that PTP4A1 is the target gene of miR-545-5p.Overexpression of PTP4A1 abrogates the inhibitory function of miR-545-5p on OC cell growth and metastasis.The lncRP5/miR-545-5p/PTP4A1 axis is subsequently demonstrated in vivo,and knockdown of lncRP5 notably inhibits tumor growth.This study provides a novel regulatory mechanism of OC,which may contribute to the diagnosis and therapy of OC. | Pingping Sun Aimei Bao Xiangdong Hua Jian Cao Ye Ding | 2022 | Acta Biochimica et Biophysica Sinica2022，54，2： | 1 |
| 9 | Regulation of immune-related diseases by multiple factors: a meeting report of 2017 International Workshop of the Chinese Academy of Medical Sciences Initiative for Innovative Medicine on Tumor Immunology显示文摘Immune cells play key roles in cancer and chronic inflammatory disease. A better understanding of the mechanisms and risks will help develop novel target therapies. At the 2017 International Workshop of the Chinese Academy of Medical Sciences Initiative for Innovative Medicine on Tumor Immunology held in Beijing, China, on May 12, 2017, a number of speakers reported new findings and ongoing studies on immune-related diseases such as cancer, fibrotic disease, diabetes, and others. A considerably insightful overview was provided on cancer immunity, tumor microenvironments,and new immunotherapy for cancer. In addition, chronic inflammatory diseases were discussed. These findings may offer new insights into targeted immunotherapy. | Bing Cui Xuetao Cao Weiping Zou Yonghong Wan Ning Wang Yaohe Wang Pingping Li Fang Hua Yuying Liu Xiaowei Zhang Ke Li Xiaoxi Lv Bo Huang Zhuowei Hu | 2017 | Acta Pharmaceutica Sinica B2017，7，4： | 1 |
| 10 | Biosensor based on hollow-core metal-cladding waveguide显示文摘 | Pingping Xiao Xianping Wang Jingjing Sun Honggen Li Meizhen Huang Xianfeng Chen Zhuangqi Cao | 2012 | Sensors & Actuators: A. Physical2012，，： | 1 |
| 11 | Degradation of differently processed Mg-based implants leads to distinct foreign body reactions(FBRs)through dissimilar signaling pathways显示文摘Mg alloys have mechanical properties compatible with human bones.However,their rapid degradation and associated foreign body reactions in vivo significantly limit their application for human implants.In this study,three differently processed Mg alloys,pure Mg(PM),cold extruded Mg alloy AZ31(CE AZ31),and fully annealed AZ31 Mg alloy(FA AZ31)were comparatively investigated for their potential as implants using a rat model.All three implanted Mg alloys do not show any impact on hepato-and renal function,nor any signs of observable changes to vital organs.Proteomics analysis of tissues directly contacting the implants 2.5 months post implantation revealed that FA AZ31 activates very few inflammation and immune associated signaling pathways;while the CE AZ31 and PM produce more significant inflammatory responses as confirmed by cytokine array analyses.Further,FA AZ31 activated pathways for cell organization and development that may improve the recovery of injured tissues.Structurally,EBSD analysis reveals that the FA AZ31 alloy has a higher ratio of first-order pyramidal orientated(10–11){10–1–2}grain texture with a value of 0.25,while PM and CE AZ31 alloys have lower ratios of first-order pyramidal orientated texture with the values of 0.16 and 0.17,respectively.This is associated with recovery and recrystallisation during annealing which promotes grain texture which exhibits enhanced degradation behaviours and induces a more limited immune response in vivo.In conclusion,the FA AZ31 demonstrated better biocompatibility and corrosion resistance and is a promising candidate for metal-based degradable implants which warrants further investigation. | Xiaosong Liu Guoqiang Chen Xiongxiong Zhong Tianfang Wang Xiaohong He Weipeng Yuan Pingping Zhang Ying Liu Dongming Cao Shu Chen Ken-ichi Manabe Zhengyi Jiang Tsuyoshi Furushima Damon Kent Yang Chen Guoying Ni Mingyong Gao Hejie Li | 2023 | Journal of Magnesium and Alloys2023，11，6： | 0 |
| 12 | Research on Forecasting Flowering Phase of Pear Tree Based on Neural Network显示文摘Predicting the blooming season of ornamental plants is significant for guiding adjustments in production decisions and providing viewing periods and routes.The current strategies for observation of ornamental plant booming periods are mainly based on manpower and experience,which have problems such as inaccurate recognition time,time-consuming and energy sapping.Therefore,this paper proposes a neural network-based method for predicting the flowering phase of pear tree.Firstly,based on the meteorological observation data of Shijiazhuang Meteorological Station from 2000 to 2019,three principal components(the temperature factor,weather factor,and humidity factor)with high correlation coefficient with the flowering phase of pear tree are obtained by using the principal component analysis method.Then,the three components are used as input factors for the BP neural network.A BP neural network prediction model is constructed based on genetic algorithm optimization.The crossover operator and mutation operator in the adaptive genetic algorithm are improved.Finally,the meteorological sample data from 2013 to 2019 are used to test and verify the algorithm in this paper.The results demonstrate that,the model can solve the local optimization problem of the BP neural network model.The prediction results of the flowering phase of pear tree are evaluated in terms of relevance and prediction accuracy.Both are superior to the traditional effective accumulated temperature and the prediction results of the stepwise regression method.This method can provide more reliable forecast information for the blooming period,which can provide decision-making reference for improving the development of tourism industry. | Zhenzhou Wang Yinuo Ma Pingping Yu Ning Cao Heiner Dintera | 2021 | Computers, Materials & Continua2021，，9： | 0 |
| 13 | Research on Face Anti-Spoofing Algorithm Based on Image Fusion显示文摘Along with the rapid development of biometric authentication technology,face recognition has been commercially used in many industries in recent years.However,it cannot be ignored that face recognition-based authentication techniques can be easily spoofed using various types of attacks such photographs,videos or forged 3D masks.In order to solve this problem,this work proposed a face anti-fraud algorithm based on the fusion of thermal infrared images and visible light images.The normal temperature distribution of the human face is stable and characteristic,and the important physiological information of the human body can be observed by the infrared thermal images.Therefore,based on the thermal infrared image,the pixel value of the pulse sensitive area of the human face is collected,and the human heart rate signal is detected to distinguish between real faces and spoofing faces.In order to better obtain the texture features of the face,an image fusion algorithm based on DTCWT and the improved Roberts algorithm is proposed.Firstly,DTCWT is used to decompose the thermal infrared image and visible light image of the face to obtain high-and low-frequency subbands.Then,the method based on region energy and the improved Roberts algorithm are then used to fuse the coefficients of the high-and low-frequency subbands.Finally,the DTCWT inverse transform is used to obtain the fused image containing the facial texture features.Face recognition is carried out on the fused image to realize identity authentication.Experimental results show that this algorithm can effectively resist attacks from photos,videos or masks.Compared with the use of visible light images alone for face recognition,this algorithm has higher recognition accuracy and better robustness. | Pingping Yu Jiayu Wang Ning Cao Heiner Dintera | 2021 | Computers, Materials & Continua2021，，9： | 0 |
| 14 | 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 |
| 15 | A Nonuniform Clustering Routing Algorithm Based on an Improved K-Means Algorithm显示文摘In a large-scale wireless sensor network(WSN),densely distributed sensor nodes process a large amount of data.The aggregation of data in a network can consume a great amount of energy.To balance and reduce the energy consumption of nodes in a WSN and extend the network life,this paper proposes a nonuniform clustering routing algorithm based on the improved K-means algorithm.The algorithm uses a clustering method to form and optimize clusters,and it selects appropriate cluster heads to balance network energy consumption and extend the life cycle of the WSN.To ensure that the cluster head(CH)selection in the network is fair and that the location of the selected CH is not concentrated within a certain range,we chose the appropriate CH competition radius.Simulation results show that,compared with LEACH,LEACH-C,and the DEEC clustering algorithm,this algorithm can effectively balance the energy consumption of the CH and extend the network life. | Xinliang Tang Man Zhang Pingping Yu Wei Liu Ning Cao Yunfeng Xu | 2020 | Computers, Materials & Continua2020，，9： | 0 |
| 16 | NPC1蛋白介导胆固醇转运和埃博拉病毒入侵的结构基础显示文摘尼曼一匹克C型疾病是由NPC1或者NPC2基因突变造成的一类脂类代谢异常疾病。NPC1和NPC2蛋白在胆固醇的细胞内转运过程中发挥了重要功能,同时NPCI还作为埃博拉病毒位于细胞内的受体参与了病毒的入侵过程。 | Xin Gong Hongwu Qian Xinhui Zhou Jianping Wu Tao Wan Pingping Cao Weiyun Huang Xin Zhao Xudong Wang Peiyi Wang Yi Shi George F.Gao 周强 颜宁 | 2017 | 科学新闻2017，19，4： | 0 |
| 17 | Characteristic of homodrimane and maturity of organic matter in the low mature source rocks显示文摘Bicyclic sesquiterpenoids are mostly used to illustrate the origins of organic matter and genetic types of crude oil presently.In this paper,the relationship between distributions and compositions of C16 homodrimane in immature to mature source rocks and evolution of organic matter was studied,and the correlation between C16 homodrimane at immature to low mature stages and thermal evolution of organic matter was analyzed.The results show that in terrestrial facies depositional system,the ratio of 8α(H)-homodrimane to 8β(H)-homodrimane has a high sensitivity about the maturity’s minor changes at immature to low mature stages.It is found that when the vitrinite reflectance R0<0.7%,the ratio significantly decreases with increasing burial depth or maturity.This kind of phenomenon reveals that these parameters may be the useful maturity indicators for determining the relative maturation of organic matter at immature to low mature stages,and have certain practical value in biogeochemical and en- vironmental geochemical research on low mature oil and gas. | BING Pingping CAO Siyuan LU Jiaotong WANG Zongjun | 2012 | Chinese Journal Of Geochemistry2012，31，2： | 0 |
| 18 | MINE:A Method of Multi-Interaction Heterogeneous Information Network Embedding显示文摘Interactivity is the most significant feature of network data,especially in social networks.Existing network embedding methods have achieved remarkable results in learning network structure and node attributes,but do not pay attention to the multi-interaction between nodes,which limits the extraction and mining of potential deep interactions between nodes.To tackle the problem,we propose a method called Multi-Interaction heterogeneous information Network Embedding(MINE).Firstly,we introduced the multi-interactions heterogeneous information network and extracted complex heterogeneous relation sequences by the multi-interaction extraction algorithm.Secondly,we use a well-designed multi-relationship network fusion model based on the attention mechanism to fuse multiple interactional relationships.Finally,applying a multitasking model makes the learned vector contain richer semantic relationships.A large number of practical experiments prove that our proposed method outperforms existing methods on multiple data sets. | Dongjie Zhu Yundong Sun Xiaofang Li Haiwen Du Rongning Qu Pingping Yu Xuefeng Piao Russell Higgs Ning Cao | 2020 | Computers, Materials & Continua2020，，6： | 0 |
| 19 | Molecular Cloning, Expression and Characterization of Peroxisome Proliferators-Activated Receptors Gamma in the Sea Urchin(Strongylocentrotus intermedius)显示文摘Peroxisome proliferators-activated receptor gamma(PPARγ) plays important regulatory roles in adipocyte differentiation. In this study, we cloned the full-length sequence of the PPARγ gene and analyzed its expression profile in different developmental stages and tissues of Strongylocentrotus intermedius. The full-length cDNA of PPARγ contains 2286 base pairs(bp) with a putative open reading frame of 1755 bp, and the gene encodes encoding a polypeptide of 584 amino acid residues. The predicted molecular mass of the protein is 67.27 kDa, and its theoretical isoelectric point(pI) is 10.07. The protein contains conserved motifs, including an RRM(RNA recognition motif) domain. PPARγ expression with the highest level was observed in the gonad, and the lowest was observed in the tube feet of S. intermedius. Time-course expression measurements at different developmental stages showed that the highest expression level of PPARγ is in the eggs and its weakest expression level is in the 32-cells stage. Knock-down of PPARγ by specific siRNA revealed that UCP2 expression is significantly decreased in the gonads and intestines 48 h post-transfection, indicating that the UCP2 is a downstream target gene of PPARγ.This finding suggests that PPARγ and UCP2 have positive regulatory effects in regulating adipocyte differentiation. Changes in fatty acid levels in the gonads before and after PPARγ interference were assessed, and decreased C18:2(trans, n-6) and C20:3(n-6) levels were observed 48 h after siRNA transfection. The results showed the function of PPARγ in fatty acid anabolism, The data are helpful to improve the current understanding of the fatty acid synthesis pathways and regulatory mechanisms in S. intermedius. They also provide an experimental basis for improving fatty acid synthesis in sea urchins, which is important for cultivating sea urchins with high nutritional value. | QUAN Zijiao HAN Lingshu CAO Yue GAO Pingping LIU Xiaoyu CHANG Yaqing DING Jun | 2021 | Journal of Ocean University of China2021，20，2： | 0 |
| 20 | Virtual Machine Consolidation with Multi-Step Prediction and Affinity-Aware Technique for Energy-Efficient Cloud Data Centers显示文摘Virtual machine(VM)consolidation is an effective way to improve resource utilization and reduce energy consumption in cloud data centers.Most existing studies have considered VM consolidation as a bin-packing problem,but the current schemes commonly ignore the long-term relationship between VMs and hosts.In addition,there is a lack of long-term consideration for resource optimization in the VM consolidation,which results in unnecessary VM migration and increased energy consumption.To address these limitations,a VM consolidation method based on multi-step prediction and affinity-aware technique for energy-efficient cloud data centers(MPaAF-VMC)is proposed.The proposed method uses an improved linear regression prediction algorithm to predict the next-moment resource utilization of hosts and VMs,and obtains the stage demand of resources in the future period through multi-step prediction,which is realized by iterative prediction.Then,based on the multi-step prediction,an affinity model between the VM and host is designed using the first-order correlation coefficient and Euclidean distance.During the VM consolidation,the affinity value is used to select the migration VM and placement host.The proposed method is compared with the existing consolidation algorithms on the PlanetLab and Google cluster real workload data using the CloudSim simulation platform.Experimental results show that the proposed method can achieve significant improvement in reducing energy consumption,VM migration costs,and service level agreement(SLA)violations. | Pingping Li Jiuxin Cao | 2023 | Computers, Materials & Continua2023，，7： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员