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Introduction o How many resources should be used to enforce the laws? Is there an optimal level of crime? o The optimal level of enforcement depends of costs of apprehension, conviction, punishment and the elasticity of the supply of crime with respect to changes in enforcement • Economics allows us to take these parameters and to minimize social loss. •(More)
The prediction of regulatory elements is a problem where computational methods offer great hope. Over the past few years, numerous tools have become available for this task. The purpose of the current assessment is twofold: to provide some guidance to users regarding the accuracy of currently available tools in various settings, and to provide a benchmark(More)
It is widely accepted that addictive drug use is related to abnormal functional organization in the user's brain. The present study aimed to identify this type of abnormality within the brain networks implicated in addiction by resting-state functional connectivity measured with functional magnetic resonance imaging (fMRI). With fMRI data acquired during(More)
MOTIVATION The next-generation high-throughput sequencing technologies, especially from Illumina, have been widely used in re-sequencing and de novo assembly studies. However, there is no existing software that can simulate Illumina reads with real error and quality distributions and coverage bias yet, which is very useful in relevant software development(More)
It is a common spoof to use a photograph to fool face recognition algorithm. In light of differences in optical flow fields generated by movements of two-dimensional planes and three-dimensional objects, we proposed a new liveness detection method for face recognition. Under the assumption that the test region is a two-dimensional plane, we can obtain a(More)
a r t i c l e i n f o Keywords: Text mining Sentiment analysis Cluster analysis Online sports forums Dynamic interacting network analysis Hotspot detection Machine learning Support vector machine Text sentiment analysis, also referred to as emotional polarity computation, has become a flourishing frontier in the text mining community. This paper studies(More)
Spatiotemporal control of gene expression is central to animal development. Core promoters represent a previously unanticipated regulatory level by interacting with cis-regulatory elements and transcription initiation in different physiological and developmental contexts. Here, we provide a first and comprehensive description of the core promoter repertoire(More)
Online social networks, which have been expanding at a blistering speed recently, have emerged as a popular communication infrastructure for Internet users. Meanwhile, malware that specifically target these online social networks are also on the rise. In this work, we aim to investigate the characteristics of malware propagation in online social networks.(More)
In this work, we explore video lecture interaction in Massive Open Online Courses (MOOCs), which is central to student learning experience on these educational platforms. As a research contribution , we operationalize video lecture click-streams of students into cognitively plausible higher level behaviors, and construct a quantitative information(More)
Current MOOCs emphasize offering individualistic learning experiences, and most MOOC research is centered on this context. Recent research also suggests that MOOC students may prefer to study in groups. Social facilitation within the study groups may render the learning of difficult concepts a pleasing experience. We report a longitudinal study that(More)