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5篇 您的检索式:作者名="Rodrigo Valenzuela"
    题名 作者 年代 出处 被引量
1Tension control of a two-drum winder using paper tensibn estimation显示文摘Rodrigo Carrasco Anibal Valenzuela M 2006IEEE Trans on Industry Applications2006,42,2:1
2Targeting resolvins in cholestatic liver injury显示文摘In general terms,the acute inflammatory reaction in conditions of infection or tissue damage is a response of the immune system to cope with survival and return to homeostasis.Temporarily,the reaction is initiated by edema followed by the progressive accumulation of polymorphonuclear leukocytes(PMN)and monocytes that differentiate into macrophages,with production of pro-inflammatory mediators such as leukotrienes(e.g.,LTB4)and prostaglandins(e.g.,PGE2,PGI2,PGF2),which in excess may progress to chronic inflammation(1).Considering that the acute inflammatory response is a protective and self-limited phenomenon,its resolution is an active programmed reaction that is set in by specific pro-resolving mediators(SPMs),which are derived from n-3 polyunsaturated fatty acids(n-3 PUFAs).Luis AVidela Rodrigo Valenzuela 2021Hepatobiliary Surgery and Nutrition2021,10,5:1
3Calpains and proteasomes mediate degradation of ryanodine receptors in a model of cardiac ischemic reperfusion显示文摘Zully Pedrozo Gina Sánchez Natalia Torrealba Rodrigo Valenzuela Carolina Fernández Cecilia Hidalgo Sergio Lavandero Paulina Donoso 2009BBA - Molecular Basis of Disease2009,,3:1
4Dendritic Growth, Eutectic Features and Their Effects on Hardness of a Ternary Sn–Zn–Cu Solder Alloy显示文摘The present investigation is based on the results of a directionally solidified(DS) Sn–9 wt%Zn–2 wt%Cu alloy,including primary/secondary/tertiary dendrite arm spacings of the Sn-rich matrix, the morphologies of the eutectic mixture and the corresponding interphase spacing, the nature and proportion of the Cu–Zn intermetallic compound(IMC). The main purpose is to establish interrelations of these microstructure features with experimental solidification thermal parameters, such as cooling rates and growth rates(v), macrosegregation and hardness. Such interrelations are interesting for both industry and academy since they represent a tool permitting the preprogramming of final properties based on the design of the microstructure. In the case of Sn–Zn–Cu alloys, hardly anything is known about the combined effects of the length scale of the microstructure and fraction and distribution of the primary IMC on hardness. The alloy microstructure is composed of a β-Sn dendritic region, surrounded by a eutectic mixture of α-Zn and β-Sn phases and the γ-Cu_5Zn_8 IMC.The eutectic interphase spacing varies in the range 1.2–3.6 lm, with the α-Zn phase having a globular morphology for v [ 0.5 mm/s and a needle-like morphology for v \ 0.3 mm/s. A modified Hall–Petch-type experimental expression relating hardness to the interphase spacing is proposed.Bismarck Luiz Silva Rodrigo Valenzuela Reyes Amauri Garcia JoséEduardo Spinelli 2017Acta Metallurgica Sinica(English Letters)2017,30,6:0
5Improving the radiological diagnosis of hepatic artery thrombosis after liver transplantation: Current approaches and future challenges显示文摘Hepatic artery thrombosis(HAT)is a devastating vascular complication following liver transplantation,requiring prompt diagnosis and rapid revascularization treatment to prevent graft loss.At present,imaging modalities such as ultrasound,computed tomography,and magnetic resonance play crucial roles in diagnosing HAT.Although imaging techniques have improved sensitivity and specificity for HAT diagnosis,they have limitations that hinder the timely diagnosis of this complication.In this sense,the emergence of artificial intelligence(AI)presents a transformative opportunity to address these diagnostic limitations.The development of machine learning algorithms and deep neural networks has demonstrated the potential to enhance the precision diagnosis of liver transplant complications,enabling quicker and more accurate detection of HAT.This article examines the current landscape of imaging diagnostic techniques for HAT and explores the emerging role of AI in addressing future challenges in the diagnosis of HAT after liver transplant.Cristian Lindner Raúl Riquelme Rodrigo San Martín Frank Quezada Jorge Valenzuela Juan P Maureira Martín Einersen 2024World Journal of Transplantation2024,14,1:0
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