1,182 research outputs found
Synthesis and modification of paracyclophanes
Imperial Users onl
âFeeling my Sisterâs Painâ: Perceived Victim Suffering Moderates the Impact of Sexualized Music Videos on Fijian Womenâs Responses to Menâs Intimate Partner Violence against Women
To better understand how sexualized music videos affect womenâs responses to intimate partner violence (IPV), we examined the role of individual variability in perceived victim pain and perceived victim culpability in moderating and mediating (respectively) the priming effects of sexual music videos on women. Female Fijian college students (nâ=â243) were randomly assigned to one of three viewing conditions: stereotyped sexual music videos, non-stereotyped/non-sexual music videos, or neutral videos. All participants then read a portrayal of a male-toward-female IPV episode and their perceptions of the female victim and male perpetrator were assessed. Only women who minimized the victimâs pain were adversely affected by exposure to the stereotyped sexual videos. Specifically, for women who perceived low victim pain, those in the stereotyped video condition perceived the victim as more culpable and reported greater perpetrator-directed favorable responding than those in the other two conditions. For these women who perceived low victim pain, perceptions of victim culpability mediated the impact of video type on perpetrator-favorable responding. The findings help us better understand susceptibility to the negative impact of stereotypical sexual videos and highlight areas, such as emphasizing the suffering of victims and reducing myths about victim culpability, which may be worthy of particular emphasis in interventions
Introduction to the R package TDA
We present a short tutorial and introduction to using the R package TDA,
which provides some tools for Topological Data Analysis. In particular, it
includes implementations of functions that, given some data, provide
topological information about the underlying space, such as the distance
function, the distance to a measure, the kNN density estimator, the kernel
density estimator, and the kernel distance. The salient topological features of
the sublevel sets (or superlevel sets) of these functions can be quantified
with persistent homology. We provide an R interface for the efficient
algorithms of the C++ libraries GUDHI, Dionysus and PHAT, including a function
for the persistent homology of the Rips filtration, and one for the persistent
homology of sublevel sets (or superlevel sets) of arbitrary functions evaluated
over a grid of points. The significance of the features in the resulting
persistence diagrams can be analyzed with functions that implement recently
developed statistical methods. The R package TDA also includes the
implementation of an algorithm for density clustering, which allows us to
identify the spatial organization of the probability mass associated to a
density function and visualize it by means of a dendrogram, the cluster tree
Stochastic Convergence of Persistence Landscapes and Silhouettes
Persistent homology is a widely used tool in Topological Data Analysis that
encodes multiscale topological information as a multi-set of points in the
plane called a persistence diagram. It is difficult to apply statistical theory
directly to a random sample of diagrams. Instead, we can summarize the
persistent homology with the persistence landscape, introduced by Bubenik,
which converts a diagram into a well-behaved real-valued function. We
investigate the statistical properties of landscapes, such as weak convergence
of the average landscapes and convergence of the bootstrap. In addition, we
introduce an alternate functional summary of persistent homology, which we call
the silhouette, and derive an analogous statistical theory
On the Bootstrap for Persistence Diagrams and Landscapes
Persistent homology probes topological properties from point clouds and
functions. By looking at multiple scales simultaneously, one can record the
births and deaths of topological features as the scale varies. In this paper we
use a statistical technique, the empirical bootstrap, to separate topological
signal from topological noise. In particular, we derive confidence sets for
persistence diagrams and confidence bands for persistence landscapes
Subsampling Methods for Persistent Homology
Persistent homology is a multiscale method for analyzing the shape of sets
and functions from point cloud data arising from an unknown distribution
supported on those sets. When the size of the sample is large, direct
computation of the persistent homology is prohibitive due to the combinatorial
nature of the existing algorithms. We propose to compute the persistent
homology of several subsamples of the data and then combine the resulting
estimates. We study the risk of two estimators and we prove that the
subsampling approach carries stable topological information while achieving a
great reduction in computational complexity
Chapter Raccontare i reperti archeologici: un video olografico per la stele di âAuvele Feluskeââ
The 43rd UID conference, held in Genova, takes up the theme of âDialoguesâ as practice and debate on many fundamental topics in our social life, especially in these complex and not yet resolved times. The city of Genova offers the opportunity to ponder on the value of comparison and on the possibilities for the community, naturally focused on the aspects that concern us, as professors, researchers, disseminators of knowledge, or on all the possibile meanings of the discipline of representation and its dialogue with âothersâ, which we have broadly catalogued in three macro areas: History, Semiotics, Science / Technology. Therefore, âdialogueâ as a profitable exchange based on a common language, without which it is impossible to comprehend and understand one another; and the graphic sign that connotes the conference is the precise transcription of this concept: the title âtranslatedâ into signs, derived from the visual alphabet designed for the visual identity of the UID since 2017. There are many topics which refer to three macro sessions: - Witnessing (signs and history) - Communicating (signs and semiotics) - Experimenting (signs and sciences) Thanks to the different points of view, an exceptional resource of our disciplinary area, we want to try to outline the prevailing theoretical-operational synergies, the collaborative lines of an instrumental nature, the recent updates of the repertoires of images that attest and nourish the relations among representation, history, semiotics, sciences
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