Results 61 to 70 of about 22,068 (223)

Influence of patient factors on target plasma volume treated attainment rate during double filtration plasmapheresis in patients with hypertriglyceridemic acute pancreatitis

Therapeutic Apheresis and Dialysis, EarlyView.
Abstract Introduction This study aims to investigate patient factors affecting the rate of plasma volume target attained in hypertriglyceridemic pancreatitis (HTG‐AP) patients undergoing double filtration plasmapheresis (DFPP). Methods A retrospective analysis of 82 HTG‐AP‐interpreted patients from January 2019 to April 2024 compared target plasma ...
Hui Zhang, Chenqiang Zhu, Yunlong Wu
wiley   +1 more source

An Efficient Approach to Extract and Store Big Semantic Web Data Using Hadoop and Apache Spark GraphX

Advances in Distributed Computing and Artificial Intelligence Journal
The volume of data is growing at an astonishingly high speed. Traditional techniques for storing and processing data, such as relational and centralized databases, have become inefficient and time-consuming. Linked data and the Semantic Web make internet
Wria Mohammed Salih Mohammed, Alaa Khalil Jumaa   +1 more
doaj   +1 more source

Evaluation of the Temporal Efficiency of Big Data Storage Formats in the Dynamics of Data Growth

Современные информационные технологии и IT-образование, 2021
When developing a data lake on platforms such as Apache Hadoop, the choice of data storage format becomes an important issue. This choice should be based on a number of different criteria, one of which is the time it takes to run different queries on ...
Vladimir Belov, Evgeny Nikulchev
doaj   +1 more source

Outcomes in Patients Requiring VENO‐Venous Extracorporeal Membrane Oxygenation After Cardiac Surgery: An Analysis From the PELS‐1 Study

Artificial Organs, EarlyView.
We report an insight from the PELS‐1– a multicentre, international registry focusing on postocardiotomy extracorporeal support use between 2000 and 2020. We focused on 24/2163 (1.1%) patients requiring V‐V ECMO after cardiac surgery. Mortality was high, with 21.7% of patients discharged alive and an overall 1‐year survival probability of 12.5 ...
Pasquale Nardelli, Silvia Mariani, Maria Elena De Piero, Bas C. T. van Bussel, Michele Di Mauro, Ann‐Kristin Schaefer, Diyar Saeed, Matteo Pozzi, Luca Botta, Udo Boeken, Robertas Samalavicius, Karl Bounader, Xiaotong Hou, Jeroen J. H. Bunge, Hergen Buscher, Leonardo Salazar, Bart Meyns, Michael A. Mazzeffi, Marco L. Sacha Matteucci, Sandro Sponga, Kollengode Ramanathan, Claudio Russo, Francesco Formica, Pranya Sakiyalak, Antonio Fiore, Daniele Camboni, Giuseppe Maria Raffa, Rodrigo Diaz, I‐wen Wang, Jae‐Seung Jung, Jan Belohlavek, Vin Pellegrino, Giacomo Bianchi, Matteo Pettinari, Alessandro Barbone, José P. Garcia, Kiran Shekar, Glenn Whitman, Roberto Lorusso, PELS Investigators   +39 more
wiley   +1 more source

Predicción y análisis de interacciones de usuarios en plataformas de enseñanza online [PDF]

, 2016
Las plataformas de enseñanza online generan gran cantidad de metadatos sobre las interacciones entre los estudiantes y con la plataforma. Esta información puede ser aprovechada por los profesores de los cursos para mejorar el curso y la experiencia ...
González-Gallego Sosa, Miguel Ángel
core  

Nurses' Role in Transitional Care During Intensive Care Unit Family Meetings for Patients With Prolonged Mechanical Ventilation

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aim To describe nurses' roles in transitional care planning during intensive care unit (ICU) family meetings for patients with prolonged mechanical ventilation (PMV). Design A qualitative descriptive study. Methods Using secondary data from a trial of a decision aid about PMV, transcripts from 19 unstructured ICU family meetings were ...
HyunBin You, Sharron L. Docherty, Deepshikha C. Ashana, Wei Pan, Christopher E. Cox, Tolu O. Oyesanya   +5 more
wiley   +1 more source

TRACK-Plus: Optimizing Artificial Neural Networks for Hybrid Anomaly Detection in Data Streaming Systems

IEEE Access, 2020
Software applications can feature intrinsic variability in their execution time due to interference from other applications or software contention from other users, which may lead to unexpectedly long running times and anomalous performance.
Ahmad Alnafessah, Giuliano Casale
doaj   +1 more source

BigData Analysis in Healthcare: Apache Hadoop , Apache spark and Apache Flink

Frontiers in Health Informatics, 2019
Introduction: Health care data is increasing. The correct analysis of such data will improve the quality of care and reduce costs. This kind of data has certain features such as high volume, variety, high-speed production, etc. It makes it impossible to analyze with ordinary hardware and software platforms. Choosing the right platform for managing this
Elham Nazari, Mohammad Hasan Shahriari, Hamed Tabesh   +2 more
openaire   +2 more sources

The Drivers of Science Referenced in US EPA Regulatory Impact Analyses: Open Access, Professional Popularity, and Agency Involvement

Regulation &Governance, EarlyView.
ABSTRACT We perform bibliometric analysis on documents for 255 Regulatory Impact Analyzes (RIAs) prepared by the US Environmental Protection Agency (EPA) from 1980 through 2024. Using a series of automated information extraction methods, we extract references from these documents and match them to bibliographic records.
Tyler A. Scott, Sojeong Kim, Liza Wood
wiley   +1 more source

DDoS Attacks Detection Approach based on Ensemble Model using Spark

Jordanian Journal of Computers and Information Technology
We live in an era when time is a precious resource. Thus, dealing with the vast amount of data collected from different resources for various purposes requires creating systems that can process the data in a reasonable time to make it worthwhile ...
Yasmeen Alslman, Ashwaq Khalil, Remah Younisse, Eman AlNagi, Jaafer Al-Saraireh, Rawan Ghnemat   +5 more
doaj   +1 more source