Results 11 to 20 of about 4,910 (220)

Categorical Models for BigData [PDF]

2018 IEEE International Congress on Big Data (BigData Congress), 2018
This paper shows how concepts coming from category theory associated to a functional programming language can help to formalize and reason about data and get efficient programs in a BigData context. More precisely, it shows how data structures can be modeled by functors related by natural transformations (and isomorphisms). The transformation functions
Laurent Thiry, Heng Zhao, Michel Hassenforder   +2 more
openaire   +4 more sources

Construction of Mobile Learning Model Based on Network Collaborative Inquiry from Bigdata [PDF]

MATEC Web of Conferences, 2018
The rapid development of information technology represented by media and network is changing our work, life, and learning style. In recent years, with the development of information age and bigdata, mobile learning is being widely used in numerous ...
Zhang Cizhen, Zhong Jiaming
doaj   +2 more sources

Genomic BigData Warehousing with Apache Spark and LakeHouse Architecture [PDF]

, 2022
In this repo/article, we explore and discuss Cloud-native BigData engineering approach for handling Genomics data warehousing. The technique underpin BigData processing and data warehousing with Apache Spark and Data Lakehouse architecture on Genomics ...
Victor San Kho Lin
core   +1 more source

AphasiaBank as BigData [PDF]

Seminars in Speech and Language, 2016
AphasiaBank has used a standardized protocol to collect narrative, procedural, personal, and descriptive discourse from 290 persons with aphasia, as well as 190 control participants. These data have been transcribed in the Codes for the Human Analysis of Transcripts (CHAT) format for analysis by the Computerized Language Analysis (CLAN) programs. Here,
Brian, MacWhinney, Davida, Fromm
openaire   +2 more sources

Association between rehabilitation after reperfusion treatment and in-hospital mortality: Results from a national registry study

Frontiers in Neurology, 2022
BackgroundThere is no effective regimen to reduce the mortality of patients treated with intravenous thrombolysis or endovascular therapy (EVT). Therefore, we aimed to examine whether sequential therapy by rehabilitation could effectively reduce the in ...
Shengde Li, Shiyuan Fang, Dingding Zhang, Yixiu Lu, Longde Wang, Bin Peng   +5 more
doaj   +1 more source

Deep Learning-Based Prediction of Physical Stability considering Class Imbalance for Amorphous Solid Dispersions

Journal of Chemistry, 2022
This research is aimed at predicting the physical stability for amorphous solid dispersion by utilizing deep learning methods. We propose a prediction model that effectively learns from a small dataset that is imbalanced in terms of class.
Hanbyul Lee, Junghyun Kim, Suyeon Kim, Jimin Yoo, Guang J. Choi, Young-Seob Jeong   +5 more
doaj   +1 more source

Deep Learning Based Improvement in Overseas Manufacturer Address Quality Using Administrative District Data

Applied Sciences, 2022
Validating and improving the quality of global address data are important tasks in a modern society where exchanges between countries are due to active Free Trade Agreements (FTAs) and e-commerce.
Saravit Soeng, Jin-Hyun Bae, Kyung-Hee Lee, Wan-Sup Cho   +3 more
doaj   +1 more source

The Optimization Strategies on Clarification of the Misconceptions of Big Data Processing in Dynamic and Opportunistic Environments

Big Data and Cognitive Computing, 2021
This paper identifies four common misconceptions about the scalability of volunteer computing on big data problems. The misconceptions are then clarified by analyzing the relationship between scalability and the impact factors including the problem size ...
Wei Li, Maolin Tang
doaj   +1 more source

Genome of the world’s smallest flowering plant, Wolffia australiana, helps explain its specialized physiology and unique morphology

Communications Biology, 2021
Halim Park and Jin Hwa Park et al. report the nuclear genome sequence of the duckweed Wolffia australiana, the smallest known flowering plant. The genome assembly represents an improvement over a recently published genome and highlights genome ...
Halim Park, Jin Hwa Park, Yejin Lee, Dong U Woo, Ho Hwi Jeon, Yeon Woo Sung, Sangrea Shim, Sang Hee Kim, Kyun Oh Lee, Jae-Yean Kim, Chang-Kug Kim, Debashish Bhattacharya, Hwan Su Yoon, Yang Jae Kang   +13 more
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Telomere length analysis in amyotrophic lateral sclerosis using large-scale whole genome sequence data

Frontiers in Cellular Neuroscience, 2022
BackgroundAmyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by the loss of upper and lower motor neurons, leading to progressive weakness of voluntary muscles, with death following from neuromuscular respiratory failure ...
Ahmad Al Khleifat, Alfredo Iacoangeli, Alfredo Iacoangeli, Ashley R. Jones, Joke J. F. A. van Vugt, Matthieu Moisse, Matthieu Moisse, Aleksey Shatunov, Aleksey Shatunov, Ramona A. J. Zwamborn, Rick A. A. van der Spek, Johnathan Cooper-Knock, Simon Topp, Wouter van Rheenen, Brendan Kenna, Kristel R. Van Eijk, Kevin Kenna, Ross Byrne, Victoria López, Sarah Opie-Martin, Atay Vural, Yolanda Campos, Markus Weber, Markus Weber, Bradley Smith, Isabella Fogh, Vincenzo Silani, Vincenzo Silani, Karen E. Morrison, Richard Dobson, Richard Dobson, Michael A. van Es, Russell L. McLaughlin, Patrick Vourc’h, Adriano Chio, Adriano Chio, Philippe Corcia, Philippe Corcia, Mamede de Carvalho, Marc Gotkine, Monica Povedano Panades, Jesus S. Mora, Pamela J. Shaw, John E. Landers, Jonathan D. Glass, Christopher E. Shaw, Christopher E. Shaw, Nazli Basak, Orla Hardiman, Orla Hardiman, Wim Robberecht, Wim Robberecht, Philip Van Damme, Philip Van Damme, Leonard H. van den Berg, Jan H. Veldink, Ammar Al-Chalabi, Ammar Al-Chalabi   +57 more
doaj   +1 more source