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| 1 | 神经肽Y与心血管疾病的研究进展显示文摘神经肽Y(neuropeptide Y,NPY)是由36个氨基酸构成的多肽,广泛存在于大脑、周围交感神经和肾上腺髓质,在心血管疾病发生、发展等方面有多种作用。NPY对血压有双向调节作用。在中枢神经系统,NPY抑制血压升高,外周NPY则增强血管平滑肌收缩,升高血压。NPY在动脉粥样硬化的进程中有利亦有弊。NPY还能调节水钠潴留,影响心肌和血管重塑。 | 雷静 钟巧青 Robina Matyal 杨天伦 | 2014 | 国际心血管病杂志2014，41，5： | 9 |
| 2 | Stereoselective synthesis of (2S, 3S, 4R, 5S)-5-methylpyrrolidine-3,4-diol derivatives that are highly selective α-L-fucosidase inhibitors 显示文摘 | Robina I Moreno-Vargas A J Carmona A T | 2005 | Chem Commun2005，40，39： | 2 |
| 3 | Crack coalescence in a rock-like material containing two cracks显示文摘 | ROBINA H C WONCE K T CH AU | 1998 | Rock Mechanics Mining Science1998，35，2： | 1 |
| 4 | The Effect of International Institutional Factors on Properties of Accounting Earnings 显示文摘 | Ball R Kothari S P RobinA | 2000 | Journal of Accounting and Economies2000，29，1： | 1 |
| 5 | Plantlet regeneration fromature embryos of peanut 显示文摘 | IHSONI ROBINAS MUSRATJ | 1995 | PahistaJournal of Botany1995，27，2： | 1 |
| 6 | Creativity and Education 显示文摘 | Robina Shaheen | 2010 | Creative Education2010，，3： | 1 |
| 7 | Microcrak statis- tics,Weibull distribution and micromechanical modeling of com- pressive failure in rock 显示文摘 | WONG T F ROBINA H C WONG K T | 2006 | Mechanics of Materials2006，38，： | 1 |
| 8 | Participation in Contrasting Neighborhoods显示文摘 | Iain Docherty Robina Goodlad Ronan Paddison | 2001 | Urban Studies2001，38，12： | 1 |
| 9 | Thermal pres- sure mediated hydrolysis of reactive blue 19 dye 显示文摘 | MARIA S ROBINA F ABDA K | 2009 | Jour- nal of Hazardous Materials2009，172，： | 1 |
| 10 | Perioperative Assessment of Diastolic Dysfunction显示文摘 | Robina Matyal Nikolaos J. Skubas Stanton K. Shernan Feroze Mahmood | 2011 | Anesthesia & Analgesia2011，，3： | 1 |
| 11 | Microcrak statistics,Weibull distribu-tion and micromechanical modeling of compressive failure in rock显示文摘 | WONG Tengfong ROBINA H C WONG K T | 2006 | Mechanics of Materials2006，38，： | 1 |
| 12 | Information rich temporal virtual models using X3D显示文摘 | Robina Hetherington Brian Farrimond and Steve Presland | 2006 | Computers & Graphics2006，30，2： | 1 |
| 13 | Testing The Accuracy of the IT Stereotype:Profiling IT Managers'Personality and Behavioural Characteristics显示文摘 | Lesley Willcoxson Robina Chatham | 2006 | Information&Management2006，，43： | 1 |
| 14 | Information rich temporal virtual models using X3D显示文摘 | Robina H Brian F Steve P | | 0，，02： | 1 |
| 15 | Crack coalescence in a rock-like material containing two cracks显示文摘 | ROBINA H C WONG K T CHAU | 1998 | International Journal of Rock Mechanics & Mining Sciences1998，35，2： | 1 |
| 16 | Crack coalescence in a rock-like material containing two cracks显示文摘 | Robina H.C. Wong K.T. Chau | 1998 | International Journal of Rock Mechanics and Mining Sciences1998，，： | 1 |
| 17 | Synthesis and glycosidase inhibitory activity of 7-deoxycasuarine显示文摘 | Carmona A T Robina I Wightman R H | 2003 | Helv Chim Acta2003，86，： | 1 |
| 18 | Effect of ultrasound on the removal of copper from the model solutions for copper electrolysis process 显示文摘 | Robina Farooq Y Wang F Lin | 2002 | Water Research2002，36，： | 1 |
| 19 | Incentives versus standards: properties of accounting income in four East Asia countries 显示文摘 | Ballr Robina Wus J | 2003 | Journal of Ac-counting and Economics2003，36，3： | 1 |
| 20 | Human Behavior Classification Using Geometrical Features of Skeleton and Support Vector Machines显示文摘Classification of human actions under video surveillance is gaining a lot of attention from computer vision researchers.In this paper,we have presented methodology to recognize human behavior in thin crowd which may be very helpful in surveillance.Research have mostly focused the problem of human detection in thin crowd,overall behavior of the crowd and actions of individuals in video sequences.Vision based Human behavior modeling is a complex task as it involves human detection,tracking,classifying normal and abnormal behavior.The proposed methodology takes input video and applies Gaussian based segmentation technique followed by post processing through presenting hole filling algorithm i.e.,fill hole inside objects algorithm.Human detection is performed by presenting human detection algorithm and then geometrical features from human skeleton are extracted using feature extraction algorithm.The classification task is achieved using binary and multi class support vector machines.The proposed technique is validated through accuracy,precision,recall and F-measure metrics. | Syed Muhammad Saqlain Shah Tahir Afzal Malik Robina khatoon SyedSaqlain Hassan Faiz Ali Shah | 2019 | Computers, Materials & Continua2019，，8： | 1 |
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