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Hemodiafiltration (HDF) versus expanded hemodialysis (HDx)

Seminars in Dialysis, 2022
AbstractMedium cutoff (MCO) membranes have resulted in a novel dialyzer class designed to improve membrane permeability and have been postulated as an alternative to online hemodiafiltration since MCO membranes may achieve similar solute clearances. These membranes have been incorporated into clinical practice, and the term expanded HD (HDx) has been ...
Francisco Maduell, José Jesús Broseta
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Energy Efficiency for HDFS

2020 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM), 2020
The rapidly increasing growth of big data is leading to increased usage of distributed computing and clusters as this can enable tasks to be split and processed in parallel resulting in higher computational efficiency. Environments like Apache Hadoop use Distributed file systems like the HDFS to support large clusters of typically commodity hardware to
Abhishek Das   +3 more
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HDFS memory usage analysis

2017 International Conference on Inventive Computing and Informatics (ICICI), 2017
Due to high use of online activities, there will be lot of data which is getting generated. To handle this data there should be an efficient system which can process the data effectively. One such system is Hadoop Distributed File System. HDFS consists of number of nodes, and one is the master among them while all others are slave nodes. Master node is
B Purnachandra Rao   +1 more
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HDF Reference Manual

2023
The HDF4 Reference Manual is a detailed technical document that serves as a comprehensive reference for users working with HDF4 (Hierarchical Data Format version 4). It provides in-depth information about the functions, data structures, and constants used in the HDF4 library.
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HDF User's Guide

2023
The HDF4 User's Guide is a comprehensive manual designed to help users understand and work with the HDF4 (Hierarchical Data Format version 4). HDF4 is a widely used file format and set of tools developed by the HDF Group for scientific data management.
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Choice of Dialyzers for HDF

2010
Commercial dialyzers were investigated both in vivo and in vitro for a better selection of dialyzers for hemodiafiltration (HDF) therapy. In in vivo online HDF, since a reduction rate of α(1)-microglobulin (α(1)-MG) was determined by the amount of albumin loss regardless of blood flow rate (Q(B)), ultrafiltration rate (Q(F)), and the performance of ...
Akihiro C, Yamashita, Kenji, Sakurai
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Unifying HDFS and GPFS

Proceedings of the 17th International Middleware Conference, 2016
Distributed file systems built for Big Data Analytics and cluster file systems built for traditional applications have very different functionality requirements, resulting in separate storage silos. In enterprises, there is often the need to run analytics on data generated by traditional applications that is stored on cluster file systems.
Ramya Raghavendra   +2 more
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HDF/HDF-EOS data access, visualization and processing tools at the GES DAAC

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
To help users of remote sensing data, the NASA Goddard Earth Sciences Distributed Active Archive Center (GES DAAC) has developed a series of desktop and on-line tools. These are presented in this article. Various HDF readers for AIRS and MODIS data have been written in IDL, C and Fortran.
G. Leptoukh   +12 more
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Comparaison de l’épuration de toxines en hémodialyse, HDF prédilution et HDF post-dilution

Néphrologie & Thérapeutique, 2015
Introduction L’objectif de ce travail etait de comparer l’epuration de toxines en hemodialyse haut flux (HD), hemodiafiltration predilution (HDFpre), hemodiafiltration post-dilution (HDFpost). Patients et methodes Nous avons inclus des patients traites 3 seances par semaine, en essai croise.
A. Duval-Sabatier   +6 more
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Concurrency control techniques in HDFS

2014 5th International Conference - Confluence The Next Generation Information Technology Summit (Confluence), 2014
Hadoop is based upon framework and the files that are stored in the Hadoop Distributed File System which is better known as HDFS. The data that is stored in these databases are huge and there can be multiple user, who would want to access the file from HDFS.
Nalini Bansal   +2 more
openaire   +1 more source

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