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| 1 | Diagnosis of tuberculous pleurisy using the biologic parameters adenosine deaminase, lysozyme, and interferon gamma显示文摘 | Valdes L Jose ES Alvarez D | 1993 | Chest1993，103，2： | 1 |
| 2 | Diagnosis of tuberculous pleurisy using the biologic parameters of adenosine deaminase, lysozyme, and interferon gamma显示文摘 | Valdes L Jose ES Alvarez D | 1993 | Chest1993，103，2： | 1 |
| 3 | Tuberculous effusions显示文摘 | Vadel L Pose A Jose ES | 2003 | Eur J Inter Med2003，14，1： | 1 |
| 4 | Tuberculous pleural effusions (review)显示文摘 | Valdes L Pose A Jose ES | 2003 | Eur J Inter Med2003，14，： | 1 |
| 5 | Review on the toxicity, occurrence, metabolism, detoxification, regulations and intake of zearalenone: An oestrogenic mycotoxin显示文摘 | Abdellah Zinedine Jose Miguel Soriano Juan Carlos Moltó Jordi Ma?es | 2006 | Food and Chemical Toxicology2006，，1： | 1 |
| 6 | Diagnosis of tuberculous pleunsy using the biologic parameters adenosine deaminase,Iysozyme,and interferon gamma显示文摘 | Valdes L Jose ES Alvarez D | 1993 | Chest1993，103，2： | 1 |
| 7 | Tuberculous Pleural effusions (review)显示文摘 | Valdes L Pose A Jose ES | 2003 | Eur J Inter Med2003，14，： | 1 |
| 8 | High amylase levels in pleural effusion显示文摘 | Victoria V Jose ES Angel L E | 1995 | Chest1995，108，3： | 1 |
| 9 | The Mycobacterium tuberculosis Rv2540c DNA sequence encodes a bifunctional chorismate synthase 显示文摘 | Fernanda Ely Jose ES Nunes Evelyn K Schroeder Jeverson Frazzon Mario S Palma Diogenes S Santos Luiz A Basso | 2008 | BMC Biochemistry2008，29，9： | 1 |
| 10 | 显示文摘 | Paulo R Bueno Jose A es al | 2008 | J Eur Ceram Soc2008，28，： | 1 |
| 11 | Diagnosis of tuberculous pleurisy using the biologic parameters of adenosine deaminase显示文摘 | Valdes L Jose ES Alvarez D | 1993 | Lyzozyme and Interferon gamma Chest1993，103，2： | 1 |
| 12 | High amylase 1evels in pleuraleffusion显示文摘 | Victoria V Jose ES Angel LE et a1 | 1995 | Chest1995，108，3： | 1 |
| 13 | Review on the toxicity, occurrence, metabolism, detoxification, regulations and intake of zearalenone: An oestrogenic mycotoxin显示文摘 | Abdellah Zinedine Jose Miguel Soriano Juan Carlos Moltó Jordi Ma?es | 2006 | Food and Chemical Toxicology2006，，1： | 1 |
| 14 | The employ- ee-customer satisfaction chain in the ECSI model显示文摘 | Manuel Jose Vilares and Pedro Sim?es Coelho | 2003 | European Journal of Marketing2003，37，1112： | 1 |
| 15 | BCR - ABL1 - induced expression of HSPA8 promotes cell sur- vival in chronic myeloid leukaemia 显示文摘 | Jose - Eneriz ES Roman - Gomez J Cordeu L | 2008 | Br J Haematol2008，142，4： | 1 |
| 16 | Determination of para- synephrine and meta-synephrine positional isomers in bitter orange-containing dietary supplements by LC/UV and LC/MS/MS 显示文摘 | Jose S Katherine ES Bryant CN | 2008 | Food Chern2008，109，： | 1 |
| 17 | 显示文摘 | Alvarez D Jose ES | 1998 | Arch Intern Med1998，158，： | 1 |
| 18 | High amylase levels in pleural effusion显示文摘 | Victoria V Jose ES Angel LE | 1995 | Chest1995，108，3： | 1 |
| 19 | Tuberculous pleural effusions (review) 显示文摘 | Valdes L Pose A Jose ES | 2003 | Eur J Inter Med2003，14，2： | 1 |
| 20 | Spacecraft collision avoidance challenge:Design and results of a machine learning competition显示文摘Spacecraft collision avoidance procedures have become an essential part of satellite operations.Complex and constantly updated estimates of the collision risk between orbiting objects inform various operators who can then plan risk mitigation measures.Such measures can be aided by the development of suitable machine learning(ML)models that predict,for example,the evolution of the collision risk over time.In October 2019,in an attempt to study this opportunity,the European Space Agency released a large curated dataset containing information about close approach events in the form of conjunction data messages(CDMs),which was collected from 2015 to 2019.This dataset was used in the Spacecraft Collision Avoidance Challenge,which was an ML competition where participants had to build models to predict the final collision risk between orbiting objects.This paper describes the design and results of the competition and discusses the challenges and lessons learned when applying ML methods to this problem domain. | Thomas Uriot Dario Izzo Luís FSimões Rasit Abay Nils Einecke Sven Rebhan Jose Martinez-Heras Francesca Letizia Jan Siminski Klaus Merz | 2022 | Astrodynamics2022，6，2： | 0 |
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