Results 71 to 80 of about 3,542,863 (298)

Prevalence and Trajectory of Household Material Hardship Among Children With Advanced Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Families of children with advanced cancer living in poverty experience inferior outcomes including poor parent mental health and worse child quality of life. Household material hardship (HMH: food, housing, transportation, and/or utility insecurity) is a modifiable poverty exposure—and potential intervention target—that ...
Sarah Wright, Morgan A. Paul, Selena Murcia Mendez, Emily Jones, Lucille Lokko, Chelsea Heneghan, Nicholas Purol, Morgan Arnold, Rahela Aziz‐Bose, Colleen A. Kelly, Sandi L. Pruitt, Joanne Wolfe, Kira Bona, Puja J. Umaretiya   +13 more
wiley   +1 more source

The Implications of Diverse Applications and Scalable Data Sets in Benchmarking Big Data Systems [PDF]

, 2013
Now we live in an era of big data, and big data applications are becoming more and more pervasive. How to benchmark data center computer systems running big data applications (in short big data systems) is a hot topic.
Gao, Wanling, Jia, Zhen, Shi, Yingjie, Wang, Lei, Zhan, Jianfeng, Zhang, Lixin, Zhou, Runlin, Zhu, Chunge   +7 more
core  

Financial Burden Associated With Hospitalisation Among Families of Childhood Brain Tumours in Australia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim, Natalie Bradford, David Brain, Sameera Senanayake, Sanjeewa Kularatna, Kate Young, Christine Cashion, Tim Hassall, Susanna Cramb   +8 more
wiley   +1 more source

Big Data : Overview

International Journal of Computer Trends and Technology, 2014
3 pages, 1 ...
Gupta, Richa, Gupta, Sunny, Singhal, Anuradha   +2 more
openaire   +2 more sources

Big Data Analysis

, 2022
Abstract This chapter defines big data and sets out methodological decisions to be made in big data analysis. It offers ways of researching millions of instances of ‘everyday talk’ in the public sphere, on a scale that is impossible using other methods, and thus especially useful for deliberative systems research.
Franco-Guillén, Núria, De Laile, Sebastian, Parkinson, John   +2 more
openaire   +2 more sources

A High‐Sensitivity Circulating Nucleic Acid Sequencing Assay for Assessing Treatment Response to Alectinib in a Pediatric Patient With ALK‐Rearranged Non–Small Cell Lung Cancer

Pediatric Blood &Cancer, EarlyView.
Alberto D. Guerra, Nicholas F. Evageliou, Vandana Batra, Kristen L. Dalton, Stephanie Ortel, Usman Ashraf, Tricia R. Bhatti, Lisa J. States, Lea F. Surrey, Theodore W. Laetsch   +9 more
wiley   +1 more source

The Fate (Outcome) of Clinically Apparent Single Lesion and Oligofocal Nephroblastomatosis Treated According to SIOP/GPOH Protocols for Wilms Tumor

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter, Jens‐Peter Schenk, Jenny Wegert, Manfred Gessler, Leo Kager, Stefan Wagenpfeil, Marina Müller, Jean‐Michel Wolff, Joerg Fuchs, Steven W. Warmann, Clemens‐Magnus Meier, Jochen Hubertus, Christian Rübe, Christian Vokuhl, Patrick Melchior, Lena Tschirner, Norbert Graf, Rhoikos Furtwängler   +17 more
wiley   +1 more source

Alliance for a Data Revolution: CGIAR Platform for Big Data in Agriculture 2017 Convention Report

, 2017
On September 19-22, 2017 the Consultative Group for International Agricultural Research1 (CGIAR) gathered over 300 local and international researchers, non-profits, public and private sector actors for the first CGIAR Platform for Big Data in Agriculture
CGIAR Platform for Big Data in Agriculture
core  

Bridging Domains in Fingerprint Recognition With Quality-Normalized Fusion

IET Biometrics
Cross-domain fingerprint recognition remains difficult when latent impressions and smartphone finger photos are matched against contact-based sensor templates. We study this problem in the latent fingerprints in the wild (LFIW) database.
Xinwei Liu, Ning Fang, Peiyuan Zhang, Liangbin Zhang   +3 more
doaj   +1 more source

Kernel difference maximisation-based sparse representation for more accurate face recognition

The Journal of Engineering, 2020
Most methods for sparse representation are designed to be used in the original space. However, their performance is not always satisfactory especially when training samples are limited.
Lian Wu, Wenbo Xu, Jianchuan Zhao, Zhongwei Cui, Yong Zhao   +4 more
doaj   +1 more source