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| 1 | The Soft X-ray Imager(SXI)on the SMILE Mission显示文摘The Soft X-ray Imager(SXI)is part of the scientific payload of the Solar wind Magnetosphere Ionosphere Link Explorer(SMILE)mission.SMILE is a joint science mission between the European Space Agency(ESA)and the Chinese Academy of Sciences(CAS)and is due for launch in 2025.SXI is a compact X-ray telescope with a wide field-of-view(FOV)capable of encompassing large portions of Earth’s magnetosphere from the vantage point of the SMILE orbit.SXI is sensitive to the soft X-rays produced by the Solar Wind Charge eXchange(SWCX)process produced when heavy ions of solar wind origin interact with neutral particles in Earth’s exosphere.SWCX provides a mechanism for boundary detection within the magnetosphere,such as the position of Earth’s magnetopause,because the solar wind heavy ions have a very low density in regions of closed magnetic field lines.The sensitivity of the SXI is such that it can potentially track movements of the magnetopause on timescales of a few minutes and the orbit of SMILE will enable such movements to be tracked for segments lasting many hours.SXI is led by the University of Leicester in the United Kingdom(UK)with collaborating organisations on hardware,software and science support within the UK,Europe,China and the United States. | S.Sembay A.L.Alme D.Agnolon T.Arnold A.Beardmore A.Belén Balado Margeli C.Bicknell C.Bouldin G.Branduardi-Raymont T.Crawford J.P.Breuer T.Buggey G.Butcher R.Canchal J.A.Carter A.Cheney Y.Collado-Vega H.Connor T.Crawford N.Eaton C.Feldman C.Forsyth T.Frantzen G.Galgóczi J.Garcia G.Y.Genov C.Gordillo H-P.Gröbelbauer M.Guedel Y.Guo M.Hailey D.Hall R.Hampson J.Hasiba O.Hetherington A.Holland S-Y.Hsieh M.W.J.Hubbard H.Jeszenszky M.Jones T.Kennedy K.Koch-Mehrin S.Kögl S.Krucker K.D.Kuntz C.Lakin G.Laky O.Lylund A.Martindale J.Miguel Mas Hesse R.Nakamura K.Oksavik N.Østgaard H.Ottacher R.Ottensamer C.Pagani S.Parsons P.Patel J.Pearson G.Peikert F.S.Porter T.Pouliantis B.H.Qureshi W.Raab G.Randal A.M.Read N.M.M.Roque M.E.Rostad C.Runciman S.Sachdev A.Samsonov M.Soman D.Sibeck S.Smit J.Søndergaard R.Speight S.Stavland M.Steller TianRan Sun J.Thornhill W.Thomas K.Ullaland B.Walsh D.Walton C.Wang S.Yang | 2024 | Earth and Planetary Physics2024，8，1： | 4 |
| 2 | Increased regulatory T cell counts in HIV- infected nonresponders to hepatitis B virus vaccine 显示文摘 | del Pozo Balado Mdel M Leal M Mendez Lagares G | 2010 | J Infect Dis2010，202，3： | 1 |
| 3 | Severe immune dysregulation affects CD4+CD25(hi)Foxp3+regulatory T cells in HIV-infected patients with low-level CD4 T-cell repopulation despite suppressive highly active antiretroviral therapy显示文摘 | Mendez-Lagares G Balado M D D Gonzalez M G | 2012 | J Infect Dis2012，205，10： | 1 |
| 4 | Severe immune dysregulation affects CD4 CD25hi Foxp3+regulatory T cells in HIV-infected patients with low-level CD4 T-cell repopulation despite suppressive highly active antiretreviral therapy显示文摘 | Mendez-Lagaes G Balado M D D Gonzalez M G | 2012 | J Infect Dis2012，205，10： | 1 |
| 5 | Performance analysis of existing and new methods for data hiding with known-host information in additive channels显示文摘 | Fernando P G Balado F Juan R H | 2003 | IEEE Transactions on Signal Processing2003，51，4： | 1 |
| 6 | Performance analysis of existing and new methods for data hiding with known host information in additive channels显示文摘 | P'erez-Gonz'alez F Balado F Hern' andez J R | 2003 | IEEE Trans on Signal Processing Special Issue on Signal Processing for Data Hiding in Digital Media and Secure Content Delivery2003，51，4： | 1 |
| 7 | Transition to addiction is associated with a persistent impairment in synaptic plasticity显示文摘 | Kasanetz F Deroche-Gamonet V Berson N Balado E Lafourcade M Manzoni O Piazza P V | | 0，，5986： | 1 |
| 8 | Phenolic potential of tannat,Cabemet-sauvignon and merlot grapes and their corre- spondence with wine composition显示文摘 | GONZALEZ-NEVES G CHARAMELO D BALADO J | 2004 | Analytica Chimica Acta2004，513，1： | 1 |
| 9 | Phenolic potential of Tannat,Cabernet-Sauvignon and Merlot grapes and their correspondence with wine composition显示文摘 | Gonz Lez-Neves G Charamelo D Balado J | 2004 | Analytica Chimica Acta2004，513，1： | 1 |
| 10 | Performance analysis of existing and new methods for data hiding with known-host information in additive channels显示文摘 | Perez-Gonzalez F Balado F and Hernandez J R | 2003 | IEEE Transactions on Signal Processing2003，51，4： | 1 |
| 11 | Different Reactivity of Hydroxylamine with Carbamoyl Azides and Carbamoyl Cyanides: Synthesis of Hydroxyureas and Carbamoyl Amidoximes显示文摘 | Paz J Balado P C Lglesias B | 2010 | J Org Chem2010，75，23： | 1 |
| 12 | Severe immune dysregulation affects CD4 + CD25hi Foxp3 + regulatory T cells in HIV-infected patients with low-level CD4 T-cell repopulation despite suppressive highly active antiretroviral therapy显示文摘 | Mendez-Lagares G Balado MDD Gonzalez MG | | 0，，10： | 1 |
| 13 | Corneal descompensation in patients with endothelial compromise treated with topical dorzolamide显示文摘 | Domingo Gordo B Urcelay Segura JL Conejero Arroyo J Balado Vazquez P Rodriguez Ausin P | 2002 | Arch Soc Esp Oftalmol2002，77，3： | 1 |
| 14 | Synthesis and antibacterial activity of conjugates between norfloxacin andanalogues of the siderophore vanchrobactin显示文摘 | Souto A Montaos MA Balado M | 2013 | Bioorganic & Medicinal Chemistry2013，21，1： | 1 |
| 15 | Approaching the capacity limit in image watermarking:A perspective on coding techniques for data hiding applications显示文摘 | Fernando Perez-González Juan R Hernández Félix Balado | 2001 | Signal Processing Elsevier2001，81，6： | 1 |
| 16 | Comparison of heuristic and deep learning-based methods for ground classification from aerial point clouds显示文摘The automatic definition of the ground from 3D point clouds has been a common process for the last two decades,with many different approaches and applications that can be found in a vast literature.This paper presents a comparison of three different methodological concepts for ground classification,in order to establish the advantages and drawbacks of each method.First,a heuristic method,based on previous knowledge of the geometry and context of the 3D data.Secondly,a Deep Convolutional Network based on SegNet that classifies 2D images generated from the 3D point cloud.Finally,the third method applies a Deep Learning classification based on PointNet,which takes 3D points directly as inputs.To validate each method and compare them,public and labelled point clouds from the Actueel Hoogtebestand Nederland dataset are employed.Furthermore,the three methods are validated against the ISPRS 3D Semantic Labeling Contest benchmark.The results obtained show that the deep learning-based approaches outperform the heuristic method,with F-scores above 96%.The best results were obtained using a shallower version of SegNet,with F-score above 97%. | Mario Soilán Belén Riveiro Jesús Balado Pedro Arias | 2020 | International Journal of Digital Earth2020，13，10： | 0 |
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