scholarly journals Resurfacing Historical Scientific Data: A Case Study Involving Fruit Breeding Data

2019 ◽  
Vol 8 (2) ◽  
pp. e1171
Author(s):  
Shannon L. Farrell ◽  
Lois G. Hendrickson ◽  
Kristen L. Mastel ◽  
Katherine Adina Allen ◽  
Julia A. Kelly
Keyword(s):  
Scientific Data ◽  
Fruit Breeding

Narrative Scientific Data Visualization in an Immersive Environment

2021 ◽  
Author(s):  
Richen Liu ◽  
Hailong Wang ◽  
Chuyu Zhang ◽  
Xiaojian Chen ◽  
Lijun Wang ◽  
...  
Keyword(s):  
Data Visualization ◽  
Domain Knowledge ◽  
User Study ◽  
Scientific Visualization ◽  
Scientific Data ◽  
Immersive Environments ◽  
Related Information ◽  
New Strategy ◽  
Scientific Data Visualization

Abstract Motivation Narrative visualization for scientific data explorations can help users better understand the domain knowledge, because narrative visualizations often present a sequence of facts and observations linked together by a unifying theme or argument. Narrative visualization in immersive environments can provide users with an intuitive experience to interactively explore the scientific data, because immersive environments provide a brand new strategy for interactive scientific data visualization and exploration. However, it is challenging to develop narrative scientific visualization in immersive environments. In this paper, we propose an immersive narrative visualization tool to create and customize scientific data explorations for ordinary users with little knowledge about programming on scientific visualization, They are allowed to define POIs (point of interests) conveniently by the handler of an immersive device. Results Automatic exploration animations with narrative annotations can be generated by the gradual transitions between consecutive POI pairs. Besides, interactive slicing can be also controlled by device handler. Evaluations including user study and case study are designed and conducted to show the usability and effectiveness of the proposed tool. Availability Related information can be accessed at: https://dabigtou.github.io/richenliu/

Application of Unmanned Aerial Vehicle Remote Sensing for Geological Disaster Reconnaissance along Transportation Lines: A Case Study

2012 ◽  
Vol 226-228 ◽  
pp. 2376-2379 ◽  
Author(s):  
Ji Ping Hu ◽  
Wen Bin Wu ◽  
Qu Lin Tan
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicle ◽  
High Efficiency ◽  
Scientific Data ◽  
Geological Investigation ◽  
Geological Disaster ◽  
Transportation Line ◽  
Aerial Vehicle ◽  
Engineering Geological Investigation

Compared with conventional airborne remote sensing application to engineering geological investigation, High precision Unmanned Aerial Vehicle Remote Sensing (UAV-RS) technology can improve work condition with advantages of high flexibility, low cost, high efficiency and up-to-date situation acquisition. Especially, it has very important engineering significance for quick and urgent geological disaster reconnaissance along transportation lines. In the paper, some aspects of application to transportation-line (pipeline, highway and railway) engineering geological investigation were discussed. The concerned key points, including components of UAV-RS system, data processing workflow and image interpretation were analyzed. As a case study, a UAV-RS application project for transportation-line geological disaster investigation was given. The utilization of this new remote sensing technology successfully collected and discovered potential geological disasters and provided scientific data for timely decision-making.

scholarly journals Experimenting with reproducibility in bioinformatics

2017 ◽  
Author(s):  
Yang-Min Kim ◽  
Jean-Baptiste Poline ◽  
Guillaume Dumas
Keyword(s):  
High Performance ◽  
Scientific Activity ◽  
Scientific Data ◽  
The Individual ◽  
High Performance Computing Cluster ◽  
Performance Computing ◽  
Scientific Fields ◽  
Research Efficiency

AbstractReproducibility has been shown to be limited in many scientific fields. This question is a fundamental tenet of the scientific activity, but the related issues of reusability of scientific data are poorly documented. Here, we present a case study of our attempt to reproduce a promising bioinformatics method [1] and illustrate the challenges to use a published method for which code and data were available. First, we tried to re-run the analysis with the code and data provided by the authors. Second, we reimplemented the method in Python to avoid dependency on a MATLAB licence and ease the execution of the code on HPCC (High-Performance Computing Cluster). Third, we assessed reusability of our reimplementation and the quality of our documentation. Then, we experimented with our own software and tested how easy it would be to start from our implementation to reproduce the results, hence attempting to estimate the robustness of the reproducibility. Finally, in a second part, we propose solutions from this case study and other observations to improve reproducibility and research efficiency at the individual and collective level.Availabilitylast version of StratiPy (Python) with two examples of reproducibility are available at GitHub [2][email protected]

AZT Kill or Cure? The Social Essences of Scientific Authority

1994 ◽  
Vol 42 (4) ◽  
pp. 686-702 ◽  
Author(s):  
Anne Grinyer
Keyword(s):  
Scientific Knowledge ◽  
Scientific Data ◽  
Scientific Authority ◽  
Telephone Interviews ◽  
Health Authorities ◽  
Scientific Certainty ◽  
Care Workers ◽  
The Social ◽  
Institutional Responses

This paper examines differing institutional responses to and interpretation of the same scientific and medical data, and looks at the way in which policies, ostensibly based upon these interpretations, are presented to public audiences. The case study concerns the use of AZT as a prophylactic for injured health care workers. Data was collected from personal in depth interviews in two health authorities and telephone interviews with a further 35 health authorities. Observations include the fact that widely different interpretations of scientific data by scientific and medical experts is likely to be presented to the lay audience in terms of scientific certainty, based on an institutional need for certainty and consensus. Contrary to conventional perspectives which would suggest that scientific knowledge was completed in its expert arena, then applied in different settings, this analysis suggests that the scientific knowledge is socially ‘completed’ or ‘closed’ in each of the different situations in which it is interpreted into practice. Ideal models of both the science and of organisational working practice, appear to have been used as the basis of these different constructions.

ARTIFICIAL INTELLIGENCE IN THE CONTEXT OF CULTUROLOGICAL DIMENSION

2020 ◽  
Vol 1 (1) ◽  
pp. 33-40
Author(s):  
D. A. Funtova ◽  
Keyword(s):  
Artificial Intelligence ◽  
Philosophy Of Mind ◽  
Subjective Experience ◽  
Modern Science ◽  
Human Mind ◽  
Scientific Data ◽  
Knowledge Based ◽  
The Individual ◽  
The Brain

High technologies have stimulated a rapidly growing knowledge-based paradigm. Therewith particular sciences seem to have separated from each other. Respectively, it brought to a certain misunderstanding about knowledge being differently directed and unreliable. Take, for instance, artificial intelligence, which is often discussed today by science and mass media. This phenomenon serves as a good example of a knowledge-based paradigm in action: it combines chemistry, computer science, engineering, linguistics, medicine, physics, philosophy and psychology. Culturology, as the broadest of the sciences, allows to comprehend artificial intelligence and opportunities it grants. Theoretically, a complete decoding of the brain cognitive processes will allow to predict the actions of the individual, to imitate and prototype him, as well as to create a model of artificial intelligence based on human intelligence. However, the modern science has not yet produced the method of such a decoding. The article considers the key differences between artificial intelligence and the human mind in accordance with relevant scientific data. The philosophy of mind and sensual subjective experience (qualia) are discussed, with the latter’s impact on culture and on individual’s life (a case study of the author’s experience of smell loss and its transformation) being analyzed. The article specifies how artificial intelligence shapes the axiological dimension of culture.

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