Results 51 to 60 of about 12,687,490 (344)

Head CT deep learning model is highly accurate for early infarct estimation

Scientific Reports, 2023
Non-contrast head CT (NCCT) is extremely insensitive for early ( 0.98). When this 150 CT test set was expanded to include a total of 364 CT scans with a more heterogeneous distribution of infarct locations (94 stroke-negative, 270 stroke-positive mixed ...
Romane Gauriau, Bernardo C. Bizzo, Donnella S. Comeau, James M. Hillis, Christopher P. Bridge, John K. Chin, Jayashri Pawar, Ali Pourvaziri, Ivana Sesic, Elshaimaa Sharaf, Jinjin Cao, Flavia T. C. Noro, Walter F. Wiggins, M. Travis Caton, Felipe Kitamura, Keith J. Dreyer, John F. Kalafut, Katherine P. Andriole, Stuart R. Pomerantz, Ramon G. Gonzalez, Michael H. Lev   +20 more
doaj   +1 more source

Activities of the Polar Environment Data Science Center of ROIS-DS, Japan

Data Science Journal, 2022
The Polar Environment Data Science Center (PEDSC) is one of the centers of the Joint Support-Center for Data Science Research (DS) of the Research Organization of Information and Systems (ROIS), which was established in 2017.
Akira Kadokura, Masaki Kanao, Hironori Yabuki, Yoshimasa Tanaka, Koji Nishimura   +4 more
doaj   +1 more source

Why Data Science Projects Fail [PDF]

arXiv, 2023
Data Science is a modern Data Intelligence practice, which is the core of many businesses and helps businesses build smart strategies around to deal with businesses challenges more efficiently. Data Science practice also helps in automating business processes using the algorithm, and it has several other benefits, which also deliver in a non-profitable
arxiv  

Detailed kinship estimation for detecting bias among breeding families in a reintroduced population of the endangered bagrid catfish Tachysurus ichikawai

Population Ecology, EarlyView.
In the process of captive breeding and reintroduction of endangered animal species, it is crucial to minimize familial bias in reproductive success during the reintroduction phase to preserve genetic diversity. In this study, we attempted to identify the familial lineage of individuals of the endangered bagrid fish Tachysurus ichikawai born at the ...
Hinano Mizuno, Kouji Nakayama, Tetsuya Akita, Yasuyuki Hashiguchi, Tomonori Osugi, Hirohiko Takeshima   +5 more
wiley   +1 more source

Data Science [PDF]

The Computer Journal, 2016
The field of Data Science concerns techniques for extracting knowledge from diverse data, with a particular focus on ‘big’ data exhibiting ‘V’ attributes such as volume, velocity, variety, value and veracity. The field of data science is becoming increasingly influential in the public, private and voluntary sectors, with its overarching aim of ...
Maneth, Sebastian, Poulovassilis, Alexandra   +1 more
openaire   +1 more source

Optimal SNP filtering strategies for pedigree reconstruction: A case study with wild red‐spotted masu salmon population

Population Ecology, EarlyView.
In this article, we tested optimal SNP filtering strategies for accurate parentage assignment and pedigree reconstruction for a wild population of red‐spotted masu salmon, Oncorhynchus masou ishikawae. We found that mid‐point filtering in terms of call rate and minor allele frequency performs well for pedigree reconstruction.
Shohei Noda, Tetsuya Akita, Rui Ueda, Takafumi Katsumura, Yasuyuki Hashiguchi, Hirohiko Takeshima, Takuya Sato   +6 more
wiley   +1 more source

Data Science as Political Action: Grounding Data Science in a Politics of Justice

Journal of Social Computing, 2021
In response to public scrutiny of data-driven algorithms, the field of data science has adopted ethics training and principles. Although ethics can help data scientists reflect on certain normative aspects of their work, such efforts are ill-equipped to ...
Ben Green
doaj   +1 more source

Open Data in Science

Serials Review, 2008
AbstractOpen Data (OD) is an emerging term in the process of defining how scientific data may be published and re-used without price or permission barriers. Scientists generally see published data as belonging to the scientific community, but many publishers claim copyright over data and will not allow its re-use without permission.
openaire   +5 more sources

A Science Cloud for Data Intensive Sciences

Data Science Journal, 2013
It is often discussed that the fourth methodology for science research is "informatics". The first methodology is a theoretic approach, the second one is observation and/or experiment, and the third one is computer simulation. Informatics is a new methodology for data intensive science, which is a new concept based on the fact that most scientific data
Ken T. Murata, Yasuhiro Murayama, Kazunori Yamamoto, Hidenobu Watanabe, Keiichiro Fukazawa, Shinichi Watari, Kazuya Muranaga, Osamu Tatebe, Yasufumi Kubota, Manabu Kunitake, Tsutomu Nagatsuma, Takuya Tsugawa, Kentaro Ukawa, Eizen Kimura, Hisao Kato   +14 more
openaire   +4 more sources

The medical science DMZ: a network design pattern for data-intensive medical science [PDF]

, 2017
: Objective We describe a detailed solution for maintaining high-capacity, data-intensive network flows (eg, 10, 40, 100 Gbps+) in a scientific, medical context while still adhering to security and privacy laws and regulations. Materials and Methods
Balas, Edward, Barnett, William, Berman, Ari, Cuff, James, Dart, Eli, Grossman, Robert L., Peisert, Sean, Shankar, Anurag, Tierney, Brian   +8 more
core   +1 more source