Results 31 to 40 of about 6,927 (264)
A machine-learning approach to the identification of WH gaps [PDF]
Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - EACL '03, 2003 In this paper, we pursue a multi-modular, statistical approach to WH dependencies, using a feedforward network as our modeling tool. The empirical basis of this model and the availability of performance measures for our system address deficiencies in earlier computational work on WH gaps, which require richer sources of semantic and lexical information
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Advances in Materials Science and Engineering, 2019 The flow field distribution in an interelectrode gap is one of the important factors that affect the machining accuracy and surface quality in the electrochemical machining (ECM) process for aircraft blades. In the ECM process, some process parameters, e.
Mingxia Chai +3 more
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ROBERT: Bridging the Gap between Machine Learning and Chemistry
WIREs Computational Molecular Science, 2023 Beyond addressing technological demands, the integration of machine learning (ML) into human societies has also promoted sustainability through the adoption of digitalized protocols. Despite these advantages and the abundance of available toolkits, a substantial implementation gap is preventing the widespread incorporation of ML protocols into the ...
David Dalmau, Juan V. Alegre‐Requena
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Design and Manufacturing Electrochemical Jet Turning Machine and Investigation of its Effective Parameters [PDF]
International Journal of Advanced Design and Manufacturing Technology, 2009 The applications of electrochemical machining are increasing because of increasing requests of industries for materials with high strengh and high hardness. Regular ECM uses a tool with spicified profile shape that is similar to final shape of workpiece.
Amin Mirahamadi, Nader Sharafi
doaj
Micromachines, 2019 Jet electrochemical machining (Jet-ECM) is a flexible method for machining complex microstructures in high-strength and hard-to-machine materials. Contrary to mechanical machining, in Jet-ECM there is no mechanical contact between tool and workpiece ...
Matin Yahyavi Zanjani +5 more
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Effect of deep cryogenic treatment on copper electrode for non-traditional electric discharge machining (EDM) [PDF]
Mechanical Sciences, 2019 In the last few decades, non-traditional machining made the machining process easier than the traditional machining method. Electric discharge machining (EDM) is one of the most prominent methods of non-traditional machining processes. By the use of EDM,
G. S. Grewal, D. P. Dhiman
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi +9 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
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