1,720,969 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
napari/napari: 0.2.9
No full textAnnouncement: napari 0.2.9
We're happy to announce the release of napari 0.2.9!
napari is a fast, interactive, multi-dimensional image viewer for Python.
It's designed for browsing, annotating, and analyzing large multi-dimensional
images. It's built on top of Qt (for the GUI), vispy (for performant GPU-based
rendering), and the scientific Python stack (numpy, scipy).
For more information, examples, and documentation, please visit our website:
https://github.com/napari/napari
Highlights
better support for surface timeseries (#831)
contrast limits slider popup on right click (#837)
better isosurface rendering with colormaps (#840)
attenuated MIP mode for better 3D rendering (#846)
New Features
convert layer properties to dictionary (#686)
better support for surface timeseries (#831)
make contrast_limits_range public and climSlider popup on right click (#837)
attenuated MIP mode for better 3D rendering (#846)
Improvements
bump numpydoc dependency to 0_9_2 for faster startup (#830)
better isosurface rendering with colormaps (#840)
add nearest interpolation mode to volume rendering for better labels support (#841)
refactor RangeSlider to accept data range and values. (#844)
in bindings logic, check if generator, not generator function (#853)
Bugfixes
fix fullscreen crash for test_viewer (#849)
fix RangeSlider.rangeChange emit type bug (#856)
API Changes
edge_color and face_color now refer to colors of all points and shapes
in layer, current_edge_color and current_face_color now refer to the
colors currently selected in the GUI (#686)
5 authors added to this release [alphabetical by first name or login]
Juan Nunez-Iglesias
Kira Evans
Nicholas Sofroniew
Talley Lambert
Tony Tung
4 reviewers added to this release [alphabetical by first name or login]
Juan Nunez-Iglesias
Nicholas Sofroniew
Talley Lambert
Tony Tun
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
napari/napari: napari 0.2.6
No full textAnnouncement: napari 0.2.6
We're happy to announce the release of napari v0.2.6!
napari is a fast, interactive, multi-dimensional image viewer for Python.
It's designed for browsing, annotating, and analyzing large multi-dimensional
images. It's built on top of Qt (for the GUI), vispy (for performant GPU-base
rendering), and the scientific Python stack (numpy, scipy).
For more information, examples, and documentation, please visit our website:
https://github.com/napari/napari
New Features
label axes with strings (#644)
interactive scripting with viewer.update(#650)
add dock widget support (#695)
dockable console (#714)
Improvements
improve release guide (#668)
add logo to repo (#674)
improve labels painting speed (#684)
add example showing mouse drag callbacks (#690)
add main window option to screenshots (#722)
Bugfixes
allow all animation thread tests to be +/- 1 frame (#670)
document qt not qt5 (#677)
fix init of _position (#680)
fix 3d display surface (#682)
set arcballCamera fov default (#683)
cleaning for interactive scripting (#688)
change no. of pixels calculation from 32 to 64-bit (#692)
support multichannel dask array (#701)
Don't calc_data_range on uint8 data (#705)
allows Path in io.magic_imread (#709)
handles empty chosen files and folder (#715)
relax play_api (#717)
raise main window when showing (#721)
fix vertical scrollbars (#728)
revert "change no. of pixels calculation from 32 to 64-bit" (#738)
remove vispy backport with 0.6.3, fix segfault in #576 (#739)
improve pyramid guessing (#740)
7 authors added to this release [alphabetical by first name or login]
Ahmet Can Solak
Guillaume Gay
HagaiHargil (HagaiHargil)
Heath Patterson
Juan Nunez-Iglesias
Nicholas Sofroniew
Talley Lambert
5 reviewers added to this release [alphabetical by first name or login]
Ahmet Can Solak
HagaiHargil
Juan Nunez-Iglesias
Nicholas Sofroniew
Talley Lamber
napari/napari: 0.3.2rc2
No full textnapari 0.3.2
We're happy to announce the release of napari 0.3.2!
napari is a fast, interactive, multi-dimensional image viewer for Python.
It's designed for browsing, annotating, and analyzing large multi-dimensional
images. It's built on top of Qt (for the GUI), vispy (for performant GPU-based
rendering), and the scientific Python stack (numpy, scipy).
For more information, examples, and documentation, please visit our website:
https://github.com/napari/napari
New Features
General multithreading API and @thread_worker decorator (#1210)
Rich jupyter display for napari screenshots (#1269)
Improvements
Make Qt component non private module (#1122)
Docs on threading and the event loop (#1258)
Add option to disable overwrite of labels during painting (#1264)
Move dask utils from misc.py to new dask_utils.py (#1265)
Have layer tooltip display the layer name (#1271)
Support viewer annotation in magicgui (#1279)
Blue colored active layer (#1284)
Bug Fixes
Automatically set high DPI scaling in Qt (#820)
Use napari logo as taskbar icon on windows when run as python script (#1208)
Remove scipy.stats import (#1250)
Unify _get_exent() return tuple formatting for all layer types (#1255)
Anti-aliasing on splash screen logo (#1260)
Remove dupe import (#1263)
Fix missing docstring create_dask_cache (#1266)
Fix adding points with new properties (#1274)
Build Tools
Add pooch to requirements/test.txt (#1249)
Prefer rcc binary at front of path (#1261)
Pin napari-svg to 0.1.2 (#1275)
9 authors added to this release (alphabetical)
Chris Wood - @cwood1967
Genevieve Buckley - @GenevieveBuckley
Grzegorz Bokota - @Czaki
Guido Cadenazzi - @gcadenazzi
Kevin Yamauchi - @kevinyamauchi
Nicholas Sofroniew - @sofroniewn
Philip Winston - @pwinston
Talley Lambert - @tlambert03
ziyangczi - @ziyangczi
11 reviewers added to this release (alphabetical)
Chris Wood - @cwood1967
Genevieve Buckley - @GenevieveBuckley
Grzegorz Bokota - @Czaki
Guillaume Witz - @guiwitz
Juan Nunez-Iglesias - @jni
Kevin Yamauchi - @kevinyamauchi
Kira Evans - @kne42
Mark Harfouche - @hmaarrfk
Nicholas Sofroniew - @sofroniewn
Talley Lambert - @tlambert03
ziyangczi - @ziyangcz
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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