Results 191 to 200 of about 167,304 (257)
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Defining difficult intravenous access (DIVA): A systematic review

Journal of Vascular Access, 2021
Background: The term “difficult intravenous access” (DIVA) is commonly used but not clearly defined. Repeated attempts at peripheral intravenous catheter (PIVC) insertion can be a traumatic experience for patients, leading to sub-optimal clinical and ...
A. Bahl   +5 more
semanticscholar   +1 more source

Development of an Inactivated H7N9 Subtype Avian Influenza Serological DIVA Vaccine Using the Chimeric HA Epitope Approach

open access: yesMicrobiology Spectrum, 2021
DIVA vaccine is a useful tool for eradicating avian influenza, especially for highly pathogenic avian influenza. Several different DIVA strategies have been proposed for avian influenza inactivated whole-virus vaccine, involving the neuraminidase (NA ...
Tao Qin, Daxin Peng, Xiufan Liu
exaly   +2 more sources

Diva: Making MVCC Systems HTAP-Friendly

SIGMOD Conference, 2022
Multiversion concurrency control (MVCC) and design principles thereof are ingrained in modern database management systems, thus promoting remarkable progress in managing online transaction processing (OLTP) workloads for decades.
Jong-Bin Kim   +4 more
semanticscholar   +1 more source

Evaluation of the difficult intravenous access (DIVA) scoring in hospitalized pediatric patients.

British Journal of Nursing, 2022
HIGHLIGHTS The DIVA scoring tool has previously been validated in the pediatric ED setting. Our project applied DIVA to an inpatient pediatric sample. DIVA may not predict likelihood of PIV success in the inpatient setting.
Rebecca L Kanaley   +4 more
semanticscholar   +1 more source

DIVa

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015, 2015
Online Social Networks exploit a lightweight process to identify their users so as to facilitate their fast adoption. However, such convenience comes at the price of making legitimate users subject to different threats created by fake accounts. Therefore, there is a crucial need to empower users with tools helping them in assigning a level of trust to ...
Amira Soliman   +4 more
openaire   +1 more source

DIVA

Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '98, 1998
DIVA supports exploratory data analysis of multimedia streams, enabling users to visualize, explore and evaluate patterns in data that change over time. The underlying stream algebra provides the mathematical basis for operating on diverse kinds of streams.
Wendy E. Mackay, Michel Beaudouin-Lafon
openaire   +1 more source

Modified DIVA Score

Pediatric emergency care, 2022
Objective This study aims to validate the DIVA (Difficult Intravenous Access) score in our population and to identify any additional patient characteristics that may be associated with difficult access in children.
M. Rizvi   +3 more
semanticscholar   +1 more source

Evaluation of the difficulty of peripheral venous cannulation during anesthesia induction in children: Is DIVA score sufficient?

Journal of Vascular Access, 2021
Background: The primary objective of the present study was to determine the rate and the independent predictors of the difficult peripheral intravascular access (PIVA) in the operating room (OR). The secondary objective was to validate the ability of the
G. Keskin   +4 more
semanticscholar   +1 more source

DIVAS

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018
The DIVAS (Digital Imaging and Vision Applications in Science) project addresses workforce challenges in science, technology, engineering, and mathematics by creating a pedagogical and programmatic "on-ramp" that empowers natural science majors to engage in authentic computational problems as members of skilled, professional teams.
Mark Meysenburg   +4 more
openaire   +1 more source

Diva

Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, 2007
Clustering is a common technique used to extract knowledge from a dataset in unsupervised learning. In contrast to classical propositional approaches that only focus on simple and flat datasets, relational clustering can handle multi-type interrelated data objects directly and adopt semantic information hidden in the linkage structure to improve the ...
Tao Li, Sarabjot Singh Anand
openaire   +1 more source

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