JOMA official website | JOMA
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背靠吉利，西班牙运动品牌JOMA突袭中国市场 - 知乎
网页joma的长期愿景也由吉利集团董事长李书福明确下达：坐拥中国，称雄亚太，joma全球，目标成为世界前三。 “李老板的时间成本、精力成本、资源成本很高，如果只是做几个亿、十几个亿，在中国小打小闹，对他来说是没有必要的。
Perioperative management in orthognathic surgery—a narrative …
网页doi: 10.21037/joma-24-14. Introduction. Orthognathic surgery, also known as corrective jaw surgery, ... Gan TJ, Belani KG, Bergese S, et al. Fourth Consensus Guidelines for the Management of Postoperative Nausea and Vomiting. Anesth Analg 2020;131:411-48. Schraag S, Pradelli L, Alsaleh AJO, et al. Propofol vs. inhalational agents to maintain ...
荷马 (运动品牌) - 维基百科，自由的百科全书
网页荷马（西班牙語： Joma ，西班牙语发音： ）是一家西班牙 运动用品制造商，目前生产可用于足球、室内足球、篮球、排球、跑步、网球、 籠式網球 （ 粵语 ： 籠式網球 ） 、健身的鞋类和服装。
Does tranexamic acid administration reduce postoperative nausea …
网页4 天之前 · Gan TJ, Mythen MG, Glass PS. Intraoperative gut hypoperfusion may be a risk factor for postoperative nausea and vomiting. Br J Anaesth 1997;78:476. Ali SZ, Taguchi A, Holtmann B, et al. Effect of supplemental pre-operative fluid on postoperative nausea and vomiting. ... doi: 10.21037/joma-24-12 Cite this article as: Weber TM Jr, Kinard BE. Does ...
JOMA-荷马
网页荷马-首页，顶级时尚潮流、运动风格和足球精神的融合的西班牙服装品牌.
Professor K.K. Gan - Ohio State University
网页Professor K.K. Gan. Room 3140 Physics Research Building Department of Physics The Ohio State University 191 W. Woodruff Ave Columbus, OH 43210 Phone: (614) 292-4124 Fax: (614) 292-8261. Teaching. Research.
Joma Gan - Facebook
网页Joma Gan is on Facebook. Join Facebook to connect with Joma Gan and others you may know. Facebook gives people the power to share and makes the world...
Generative adversarial network - Wikipedia
网页Machine learningand data mining. A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative AI. [1][2] The concept was initially developed by Ian Goodfellow and his colleagues in …
Generative adversarial network: An overview of theory and …
网页2021年4月1日 · A Generative Adversarial Network (GAN) emanates in the category of Machine Learning (ML) frameworks. These networks have acquired their inspiration from Ian Goodfellow and his colleagues based on noise contrastive estimation and used loss function used in present GAN (Grnarova et al., 2019).
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