113 Data extraction for the digital research environment

2021 ◽  
Author(s):  
Daniel Key ◽  
John Booth ◽  
Mohsin Shah ◽  
Lydia Briggs ◽  
Anastassia Spiridou ◽  
...  
Keyword(s):  
Data Extraction ◽  
Research Environment ◽  
Digital Research

Changing times and art librarians

2009 ◽  
Vol 34 (4) ◽  
pp. 36-41 ◽  
Author(s):  
Cora Weijsenfeld ◽  
Mark Wolffe
Keyword(s):  
Knowledge Sharing ◽  
Communication Skills ◽  
Digital Technology ◽  
Museum Collections ◽  
Research Environment ◽  
New Developments ◽  
Related Information ◽  
Research Material ◽  
Changing Times ◽  
Digital Research

Excellent organisational and communication skills, familiarity with available digital technology, and the ability to anticipate new developments are attributes art librarians require if they are to continue to be respected and valued professionals. Collaboration between museums, knowledge-sharing and merging library collections will cause individual museum libraries to disappear or be transformed into knowledge centres affiliated with museum collections. These will be a forum for discussion and the exchange of ideas between researchers and intellectuals who share a common passion. The infrastructure for art-related information will be a digital research environment where the indexing of research material is both unambiguous and exhaustive and integrally available.

scholarly journals 10 Researching SARS-CoV-2 from home: maximising the benefit of the GOSH digital research environment during national lockdown

2020 ◽  
Author(s):  
Richard Issitt ◽  
John Booth ◽  
Lydia Briggs ◽  
William Bryant ◽  
Mohsin Shah ◽  
...  
Keyword(s):  
Research Environment ◽  
Digital Research

scholarly journals Moving a Flipped Class Online To Teach Python to Biomedical Ph.D. Students during COVID-19 and Beyond

2021 ◽  
Author(s):  
Nathalie A. Vladis ◽  
Bradley I. Coleman
Keyword(s):  
Big Data ◽  
Graduate Education ◽  
Research Environment ◽  
Computational Approaches ◽  
Analytical Skills ◽  
Digital Research

While quantitative analytical skills have always been a part of modern biomedical training, the big data revolution and digital research environment have increased the importance of computational approaches for biomedical graduate education. To address this growing need, Ph.D. programs have explored ways to integrate quantitative training into their existing curricula.

scholarly journals Towards a digital research environment for Buddhist studies

2013 ◽  
Vol 28 (2) ◽  
pp. 296-300 ◽  
Author(s):  
K. Nagasaki ◽  
T. Tomabechi ◽  
M. Shimoda
Keyword(s):  
Research Environment ◽  
Buddhist Studies ◽  
Digital Research

Exit-surface wave reconstruction using a focal series

1992 ◽  
Vol 50 (2) ◽  
pp. 988-989
Author(s):  
W.J. de Ruijter ◽  
M.R. McCartney ◽  
David J. Smith ◽  
J.K. Weiss
Keyword(s):  
Surface Wave ◽  
Spherical Aberration ◽  
Data Extraction ◽  
High Sensitivity ◽  
Geometric Distortion ◽  
Variation Method ◽  
Objective Lens ◽  
Immediate Reconstruction ◽  
Exit Surface ◽  
Electron Microscopes

Further advances in resolution enhancement of transmission electron microscopes can be expected from digital processing of image data recorded with slow-scan CCD cameras. Image recording with these new cameras is essential because of their high sensitivity, extreme linearity and negligible geometric distortion. Furthermore, digital image acquisition allows for on-line processing which yields virtually immediate reconstruction results. At present, the most promising techniques for exit-surface wave reconstruction are electron holography and the recently proposed focal variation method. The latter method is based on image processing applied to a series of images recorded at equally spaced defocus.Exit-surface wave reconstruction using the focal variation method as proposed by Van Dyck and Op de Beeck proceeds in two stages. First, the complex image wave is retrieved by data extraction from a parabola situated in three-dimensional Fourier space. Then the objective lens spherical aberration, astigmatism and defocus are corrected by simply dividing the image wave by the wave aberration function calculated with the appropriate objective lens aberration coefficients which yields the exit-surface wave.

Data Extraction Method from Printed Images with Different Formats

2017 ◽  
Vol E100.A (11) ◽  
pp. 2355-2357
Author(s):  
Mitsuji MUNEYASU ◽  
Nayuta JINDA ◽  
Yuuya MORITANI ◽  
Soh YOSHIDA
Keyword(s):  
Extraction Method ◽  
Data Extraction

A FRAME WORK FOR WEB INFORMATION EXTRACTION AND ANALYSIS

2013 ◽  
Vol 7 (2) ◽  
pp. 574-579 ◽  
Author(s):  
Dr Sunitha Abburu ◽  
G. Suresh Babu
Keyword(s):  
Information Extraction ◽  
Data Extraction ◽  
Research Work ◽  
Web Pages ◽  
Web Documents ◽  
E Learning ◽  
Structured Information ◽  
Frame Work ◽  
Effective Decision ◽  
The Web

Day by day the volume of information availability in the web is growing significantly. There are several data structures for information available in the web such as structured, semi-structured and unstructured. Majority of information in the web is presented in web pages. The information presented in web pages is semi-structured.  But the information required for a context are scattered in different web documents. It is difficult to analyze the large volumes of semi-structured information presented in the web pages and to make decisions based on the analysis. The current research work proposed a frame work for a system that extracts information from various sources and prepares reports based on the knowledge built from the analysis. This simplifies  data extraction, data consolidation, data analysis and decision making based on the information presented in the web pages.The proposed frame work integrates web crawling, information extraction and data mining technologies for better information analysis that helps in effective decision making.   It enables people and organizations to extract information from various sourses of web and to make an effective analysis on the extracted data for effective decision making.  The proposed frame work is applicable for any application domain. Manufacturing,sales,tourisum,e-learning are various application to menction few.The frame work is implemetnted and tested for the effectiveness of the proposed system and the results are promising.

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