121,693 research outputs found
ILC Operating Scenarios
The ILC Technical Design Report documents the design for the construction of
a linear collider which can be operated at energies up to 500 GeV. This report
summarizes the outcome of a study of possible running scenarios, including a
realistic estimate of the real time accumulation of integrated luminosity based
on ramp-up and upgrade processes. The evolution of the physics outcomes is
emphasized, including running initially at 500 GeV, then at 350 GeV and 250
GeV. The running scenarios have been chosen to optimize the Higgs precision
measurements and top physics while searching for evidence for signals beyond
the standard model, including dark matter. In addition to the certain precision
physics on the Higgs and top that is the main focus of this study, there are
scientific motivations that indicate the possibility for discoveries of new
particles in the upcoming operations of the LHC or the early operation of the
ILC. Follow-up studies of such discoveries could alter the plan for the
centre-of-mass collision energy of the ILC and expand the scientific impact of
the ILC physics program. It is envisioned that a decision on a possible energy
upgrade would be taken near the end of the twenty year period considered in
this report
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JuxtaLearn D3.2 Performance Framework
This deliverable, D3.2, for Work Package 3 incorporating the pedagogy from WP2 and orchestration factors mapped in D3.1 reviews aspects of performance in the context of participative video making. It reviews literature on curiosity and engagement characteristics of interaction mechanisms for public displays and anticipates requirements for social network analysis of relevant public videos from WP6 task 6.3. Thus, to support JuxtaLearn performance it proposes a reflective performance framework that encompasses the material environment and objects required, the participants, and the knowledge needed
Insta-Appropriation: Finding Boundaries for the Second Circuit’s Fair Use Doctrine After Campbell
Copyright law’s current fair use landscape is riddled with unclear standards and old considerations forced upon new media. This is especially problematic in the context of digital appropriation of art from online social media platforms—an issue highlighted by Richard Prince’s exhibit “New Portraits,” in which he appropriated strangers’ Instagram photos for his own profit. Unless this situation is remedied, digital content creators will effectively lose their statutory copyright protections. Thus, when considering digital appropriation cases, courts should require a transformation of content rather than purpose, should elevate the weight of the fourth statutory factor, and should reinstate the “comment upon” standard for works of parody and satire. Other scholars have proposed changes to the fair use doctrine, but none adequately protect first-order digital content creators. As such, this Note proposes a reinterpretation of the fair use factors in light of digital appropriation and social media
Insta-Appropriation: Finding Boundaries for the Second Circuit’s Fair Use Doctrine After Campbell
Copyright law’s current fair use landscape is riddled with unclear standards and old considerations forced upon new media. This is especially problematic in the context of digital appropriation of art from online social media platforms—an issue highlighted by Richard Prince’s exhibit “New Portraits,” in which he appropriated strangers’ Instagram photos for his own profit. Unless this situation is remedied, digital content creators will effectively lose their statutory copyright protections. Thus, when considering digital appropriation cases, courts should require a transformation of content rather than purpose, should elevate the weight of the fourth statutory factor, and should reinstate the “comment upon” standard for works of parody and satire. Other scholars have proposed changes to the fair use doctrine, but none adequately protect first-order digital content creators. As such, this Note proposes a reinterpretation of the fair use factors in light of digital appropriation and social media
Statistical analysis of emotions and opinions at Digg website
We performed statistical analysis on data from the Digg.com website, which
enables its users to express their opinion on news stories by taking part in
forum-like discussions as well as directly evaluate previous posts and stories
by assigning so called "diggs". Owing to fact that the content of each post has
been annotated with its emotional value, apart from the strictly structural
properties, the study also includes an analysis of the average emotional
response of the posts commenting the main story. While analysing correlations
at the story level, an interesting relationship between the number of diggs and
the number of comments received by a story was found. The correlation between
the two quantities is high for data where small threads dominate and
consistently decreases for longer threads. However, while the correlation of
the number of diggs and the average emotional response tends to grow for longer
threads, correlations between numbers of comments and the average emotional
response are almost zero. We also show that the initial set of comments given
to a story has a substantial impact on the further "life" of the discussion:
high negative average emotions in the first 10 comments lead to longer threads
while the opposite situation results in shorter discussions. We also suggest
presence of two different mechanisms governing the evolution of the discussion
and, consequently, its length.Comment: 26 pages, 16 figures, 6 table
Node similarity as a basic principle behind connectivity in complex networks
How are people linked in a highly connected society? Since in many networks a
power-law (scale-free) node-degree distribution can be observed, power-law
might be seen as a universal characteristics of networks. But this study of
communication in the Flickr social online network reveals that power-law
node-degree distributions are restricted to only sparsely connected networks.
More densely connected networks, by contrast, show an increasing divergence
from power-law. This work shows that this observation is consistent with the
classic idea from social sciences that similarity is the driving factor behind
communication in social networks. The strong relation between communication
strength and node similarity could be confirmed by analyzing the Flickr
network. It also is shown that node similarity as a network formation model can
reproduce the characteristics of different network densities and hence can be
used as a model for describing the topological transition from weakly to
strongly connected societies.Comment: 6 pages in Journal of Data Mining & Digital Humanities (2015)
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