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10篇 您的检索式:作者名="Miguel AI"
    题名 作者 年代 出处 被引量
1多器官床旁即时超声在新型冠状病毒肺炎中的应用:国际专家共识显示文摘新型冠状病毒肺炎(简称新冠肺炎,COVID-19)自首次报道以来,已造成全球超一亿人感染,给各国的公共卫生体系造成了巨大威胁。新冠肺炎的临床表现以呼吸系统体征和症状为主,80%的患者症状轻微,约5%为危重症患者,常表现为急性呼吸窘迫综合征(ARDS)。前期,由于缺乏相关研究,面对日益紧迫的临床困境,医务人员不得不借鉴采取一些经验性措施以应对疫情。王臻(译) Arif Hussain Gabriele Via Lawrence Melniker Alberto Goffi Guido Tavazzi Luca Neri Tomas Villen Richard Hoppmann Francesco Mojoli Vicki Noble Laurent Zieleskiewicz Pablo Blanco Irene W.Y.Ma Mahathar Abd.Wahab Abdulmohsen Alsaawi Majid AI Salamah Martin Balik Diego Barca Karim Bendjelid Belaid Bouhemad Pablo Bravo-Figueroa Raoul Breitkreutz Juan Calderon Jim Connolly Roberto Copetti Francesco Corradi Anthony J.Dean AndréDenault Deepak Govil Carmela Graci Young-Rock Ha Laura Hurtado Toru Kameda Michael Lanspa Christian B Laursen Francis Lee Rachel Liu Massimiliano Meineri Miguel Montorfano Peiman Nazerian Bret P.Nelson Aleksandar N.Neskovic Ramon Nogue Adi Osman JoséPazeli Elmo Pereira-Junior Tomislav Petrovic Emanuele Pivetta Jan Poelaert Susanna Price Gregor Prosen Shalim Rodriguez Philippe Rola Colin Royse Yale Tung Chen Mike Wells Adrian Wong Wang Xiaoting Wang Zhen Yaseen Arabi 2021中国呼吸与危重监护杂志2021,20,2:5
2A ZigBee Multi-powered Wireless Acquisition Device fbr Remote Sensing Applications In Precision Viticulture显示文摘Raul M Miguel A F Sanmel G M et aI Computers and Electronics m Agriculture0,2114,62:1
3Metabolic endotoxemia initiates obesity and insulin resistance 显示文摘Patrice DC Jacques AM Miguel AI 2007Diabetes2007,56,:1
4Bortezomib pius meIphalan and prednisone for initi&l treatment of multiple myeloma显示文摘San Miguel JF Schlag R Khuageva NK et aI 2008N Engl J Med2008,559,:1
5Bioactive polyphenoI antioxidants protect oral fibroblasts from ROS- inducing agents 显示文摘San Miguel SM Opperman LA Allen EP et aI 2012Arch Oral Biol2012,57,12:1
6The effect of calcium chloride and thermal postharvest treatments on storage ability and quality of fig fruit显示文摘ANTUNES M D C OLIVEIRA R MIGUEL M G et aI 2003Acta Horticulturae2003,604,:1
7Inactivation of OslRX10 Leads to Decreased Xylan Content in Rice Culm Cell Walls and Improved Biomass Saccharification显示文摘Dear Editor, Xylan polysaccharides constitute the major non-cellulosic components in secondary cell walls of dicots and in both primary and secondary cell walls of grasses (Scheller and Ulvskov,2010).Xylan is composed of a linear backbone of 13(1-4)-linked xylose (Xyl).In grasses,the xylan backbone is substituted with O3-1inked and O2-1inked arabinose residues and,to a lesser extent,α(1-3)-Iinked glucuronic acid residues.A unique feature of grass xylans is the presence of hydroxycinnamate esters (ferulic and p-coumaric acid residues)attached to C5 of some of the arabinosyl residues (Carpita,1996;Vogel,2008;Scheller and Ulvskov,2010).Xylan contributes to the recalcitrance of plant cell walls to enzymatic degradation probably through direct interaction with cellulose microfibrils and also through formation of ferulate cross-links (liyama et al.,1994;Yin et al.,2011).Xuewei Chen Miguel E. Vega-Sanchez Yves Verhertbruggenb Dawn Chiniquy Patrick E. Canlas Alexandra Fagerstrom Lina Prak Ulla Christensen Ai Oikawa Mawsheng Chern Shimin Zuo Fan Lin Manfred Auer William G.T. Willats Laura Bartley Jesper Harholt Henrik V. Scheller Pamela C. Ronald 2013Molecular Plant2013,6,2:1
8Multisslice CT coronary angiography for the detection of burden, mor- phology and distribution of atheroselerotic plaques in the left main bifurecation 显示文摘Gaston A Rodriguez-Granilio Miguel A et aI 2007Int J Cardiovasc Imaging2007,23,:1
9Systematic review of Purtscher's and Purtscher-like retinopathies显示文摘Miguel AI Henriques F Azevedn LF 2013Eye (Lond)2013,27,:1
10VisuaLizations As Intermediate Representations (VLAIR): An approach for applying deep learning-based computer vision to non-image-based data显示文摘Deep learning algorithms increasingly support automated systems in areas such as human activity recognition and purchase recommendation.We identify a current trend in which data is transformed first into abstract visualizations and then processed by a computer vision deep learning pipeline.We call this VisuaLization As Intermediate Representation(VLAIR)and believe that it can be instrumental to support accurate recognition in a number of fields while also enhancing humans’ability to interpret deep learning models for debugging purposes or for personal use.In this paper we describe the potential advantages of this approach and explore various visualization mappings and deep learning architectures.We evaluate several VLAIR alternatives for a specific problem(human activity recognition in an apartment)and show that VLAIR attains classification accuracy above classical machine learning algorithms and several other non-image-based deep learning algorithms with several data representations.Ai Jiang Miguel A.Nacenta Juan Ye 2022Visual Informatics2022,6,3:0
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