906,524 research outputs found
Alter ego, state of the art on user profiling: an overview of the most relevant organisational and behavioural aspects regarding User Profiling.
This report gives an overview of the most relevant organisational and\ud
behavioural aspects regarding user profiling. It discusses not only the\ud
most important aims of user profiling from both an organisation’s as\ud
well as a user’s perspective, it will also discuss organisational motives\ud
and barriers for user profiling and the most important conditions for\ud
the success of user profiling. Finally recommendations are made and\ud
suggestions for further research are given
Racial Profiling and the War on Terror: Changing Trends and Perspectives
Minorities in the United States have often been treated unfairly by law enforcement agencies. Prior to the September 11, 2001, terrorist attack on the United States, Blacks were the main victims of racial profiling. Since the terrorist attack, however, Arabs and Muslims are becoming the primary targets for profiling by law enforcement agencies. There are some remarkable similarities between the profiling of Blacks and the profiling of Arabs and Muslims. In both cases, the fundamental problems with racial profiling are that it violates the civil liberties of innocent people and denies minorities the equal protection of the law. The War on Terror has redefined racial profiling. It has not only led to a shift in the target population, but it has also changed the ways in which racial profiling is conducted
MAP: Microblogging Assisted Profiling of TV Shows
Online microblogging services that have been increasingly used by people to
share and exchange information, have emerged as a promising way to profiling
multimedia contents, in a sense to provide users a socialized abstraction and
understanding of these contents. In this paper, we propose a microblogging
profiling framework, to provide a social demonstration of TV shows. Challenges
for this study lie in two folds: First, TV shows are generally offline, i.e.,
most of them are not originally from the Internet, and we need to create a
connection between these TV shows with online microblogging services; Second,
contents in a microblogging service are extremely noisy for video profiling,
and we need to strategically retrieve the most related information for the TV
show profiling.To address these challenges, we propose a MAP, a
microblogging-assisted profiling framework, with contributions as follows: i)
We propose a joint user and content retrieval scheme, which uses information
about both actors and topics of a TV show to retrieve related microblogs; ii)
We propose a social-aware profiling strategy, which profiles a video according
to not only its content, but also the social relationship of its microblogging
users and its propagation in the social network; iii) We present some
interesting analysis, based on our framework to profile real-world TV shows
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PATTERNA: transcriptome-wide search for functional RNA elements via structural data signatures.
Establishing a link between RNA structure and function remains a great challenge in RNA biology. The emergence of high-throughput structure profiling experiments is revolutionizing our ability to decipher structure, yet principled approaches for extracting information on structural elements directly from these data sets are lacking. We present PATTERNA, an unsupervised pattern recognition algorithm that rapidly mines RNA structure motifs from profiling data. We demonstrate that PATTERNA detects motifs with an accuracy comparable to commonly used thermodynamic models and highlight its utility in automating data-directed structure modeling from large data sets. PATTERNA is versatile and compatible with diverse profiling techniques and experimental conditions
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Beyond Risk Profiling: Achieving better investment outcomes for consumers and industry
In the wake of the Retail Distribution Review, there remain fundamental questions about how best to support consumers to make sound investment decisions, particularly those with modest amounts of money to invest, for whom a poor investment decision may have a disproportionate adverse impact. The advent of new pension freedoms from April 2015, which give people more choice and flexibility about how they use their retirement savings, adds further impetus to the issue. To help inform policy and practice on this important subject, in June 2015 we brought together consumer and industry experts to explore possible new approaches to improve risk profiling and investment decision-making
Slanted hole array beam profiler (SHArP)—a high-resolution portable beam profiler based on a linear aperture array
We demonstrate a novel high-resolution portable beam profiler based on a slanted linear array of small apertures, termed a slanted hole array beam profiler (SHArP). The apertures are directly fabricated on a metal-coated CMOS imaging sensor. With a single linear scan, the aperture array can establish a virtual grid of sampling points for beam profiling. With our prototype, we demonstrate beam profiling of Gaussian beams over an area of 66.5 μm×66.5 μm with a resolution of 0.8 μm (compare with the CMOS pixel size of 10 μm). The resolution can be improved into the range of submicrometers by fabricating smaller apertures. The good correspondence between the measured and calculated beam profiles proves the fidelity of our new beam profiling scheme
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