Results 61 to 70 of about 12,687,490 (344)

Evaluating the origin and spread of spotted lanternfly (Lycorma delicatula) in Japan

open access: yesPopulation Ecology, EarlyView.
The invasive spotted lanternfly (Lycorma delicatula) is native to China and is a serious economic pest in the Republic of Korea and the United States, though it is not considered a pest in Japan. We established a distribution map of L. delicatula in Japan through a comprehensive review of published literature and citizen science reports and analyzed ...
Matthew T. Kamiyama   +5 more
wiley   +1 more source

Data Science: Measuring Uncertainties

open access: yesEntropy, 2020
With the increase in data processing and storage capacity, a large amount of data is available [...]
Carlos Alberto de Braganca Pereira   +2 more
doaj   +1 more source

Navigating Diverse Data Science Learning: Critical Reflections Towards Future Practice [PDF]

open access: yes4th Workshop on Curricula and Teaching Methods in Cloud Computing, Big Data, and Data Science, 2017, 2018
Data Science is currently a popular field of science attracting expertise from very diverse backgrounds. Current learning practices need to acknowledge this and adapt to it. This paper summarises some experiences relating to such learning approaches from teaching a postgraduate Data Science module, and draws some learned lessons that are of relevance ...
arxiv   +1 more source

Data Science and Ebola [PDF]

open access: yes, 2015
Data Science---Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow.
Plaat, Aske
core   +2 more sources

Science-driven 3D data compression

open access: yes, 2017
Photometric redshift surveys map the distribution of matter in the Universe through the positions and shapes of galaxies with poorly resolved measurements of their radial coordinates.
Alonso, David
core   +1 more source

Comparison of kinship‐identification methods for robust stock assessment using close‐kin mark–recapture data for Pacific bluefin tuna

open access: yesPopulation Ecology, EarlyView.
In this study, we compared three methods for kinship identification using different algorithms in samples of wild Pacific bluefin tuna and generated genotyping data. The three methods resulted in different numbers of inferred kinship pairs for both generated and actual data. Particularly for the half‐sibling pairs, considerable number of false‐positive
Yohei Tsukahara   +5 more
wiley   +1 more source

Ten Research Challenge Areas in Data Science [PDF]

open access: yesarXiv, 2020
Although data science builds on knowledge from computer science, mathematics, statistics, and other disciplines, data science is a unique field with many mysteries to unlock: challenging scientific questions and pressing questions of societal importance.
arxiv  

Dendritic cells steering antigen and leukocyte traffic in lymph nodes

open access: yesFEBS Letters, EarlyView.
Dendritic cells are key players in the activation of T cells and their commitment to effector function. In this In a Nutshell Review, we will discuss how dendritic cells guide the trafficking of antigen and leukocytes in the lymph node, thus influencing T‐cell activation processes. Dendritic cells (DCs) play a central role in initiating and shaping the
Enrico Dotta   +3 more
wiley   +1 more source

Perspectives on Marine Data Science as a Blueprint for Emerging Data Science Disciplines

open access: yesFrontiers in Marine Science, 2021
Earth System Sciences have been generating increasingly larger amounts of heterogeneous data in recent years. We identify the need to combine Earth System Sciences with Data Sciences, and give our perspective on how this could be accomplished within the ...
Maria-Theresia Verwega   +14 more
doaj   +1 more source

Data Science in Economics [PDF]

open access: yes, 2020
Abstract This paper provides the state of the art of data science in economics. Through a novel taxonomy of applications and methods advances in data science are investigated. The novel data science methods and applications are investigated in four individual classes of deep learning models, hybrid deep learning models, hybrid machine learning,
Saeed Nosratabadi   +4 more
openaire   +3 more sources

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