230 research outputs found
Global Analysis of Nucleon Strange Form Factors at Low
We perform a global analysis of all recent experimental data from elastic
parity-violating electron scattering at low . The values of the electric
and magnetic strange form factors of the nucleon are determined at
GeV/ to be and .Comment: 8 pages, 1 figur
Multimodal Social Media Analysis for Gang Violence Prevention
Gang violence is a severe issue in major cities across the U.S. and recent
studies [Patton et al. 2017] have found evidence of social media communications
that can be linked to such violence in communities with high rates of exposure
to gang activity. In this paper we partnered computer scientists with social
work researchers, who have domain expertise in gang violence, to analyze how
public tweets with images posted by youth who mention gang associations on
Twitter can be leveraged to automatically detect psychosocial factors and
conditions that could potentially assist social workers and violence outreach
workers in prevention and early intervention programs. To this end, we
developed a rigorous methodology for collecting and annotating tweets. We
gathered 1,851 tweets and accompanying annotations related to visual concepts
and the psychosocial codes: aggression, loss, and substance use. These codes
are relevant to social work interventions, as they represent possible pathways
to violence on social media. We compare various methods for classifying tweets
into these three classes, using only the text of the tweet, only the image of
the tweet, or both modalities as input to the classifier. In particular, we
analyze the usefulness of mid-level visual concepts and the role of different
modalities for this tweet classification task. Our experiments show that
individually, text information dominates classification performance of the loss
class, while image information dominates the aggression and substance use
classes. Our multimodal approach provides a very promising improvement (18%
relative in mean average precision) over the best single modality approach.
Finally, we also illustrate the complexity of understanding social media data
and elaborate on open challenges
Optimal scaling of average queue sizes in an input-queued switch: an open problem
We review some known results and state a few versions of an open problem related to the scaling of the total queue size (in steady state) in an nĂn input-queued switch, as a function of the port number n and the load factor Ï. Loosely speaking, the question is whether the total number of packets in queue, under either the maximum weight policy or under an optimal policy, scales (ignoring any logarithmic factors) as O(n/(1 â Ï)).National Science Foundation (U.S.) (Grant CCF-0728554
Predicting the impact of scientific concepts using fullâtext features
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/134425/1/asi23612.pd
Investigating human audio-visual object perception with a combination of hypothesis-generating and hypothesis-testing fMRI analysis tools
Primate multisensory object perception involves distributed brain regions. To investigate the network character of these regions of the human brain, we applied data-driven group spatial independent component analysis (ICA) to a functional magnetic resonance imaging (fMRI) data set acquired during a passive audio-visual (AV) experiment with common object stimuli. We labeled three group-level independent component (IC) maps as auditory (A), visual (V), and AV, based on their spatial layouts and activation time courses. The overlap between these IC maps served as definition of a distributed network of multisensory candidate regions including superior temporal, ventral occipito-temporal, posterior parietal and prefrontal regions. During an independent second fMRI experiment, we explicitly tested their involvement in AV integration. Activations in nine out of these twelve regions met the max-criterion (A < AV > V) for multisensory integration. Comparison of this approach with a general linear model-based region-of-interest definition revealed its complementary value for multisensory neuroimaging. In conclusion, we estimated functional networks of uni- and multisensory functional connectivity from one dataset and validated their functional roles in an independent dataset. These findings demonstrate the particular value of ICA for multisensory neuroimaging research and using independent datasets to test hypotheses generated from a data-driven analysis
Physics Opportunities with the 12 GeV Upgrade at Jefferson Lab
This white paper summarizes the scientific opportunities for utilization of
the upgraded 12 GeV Continuous Electron Beam Accelerator Facility (CEBAF) and
associated experimental equipment at Jefferson Lab. It is based on the 52
proposals recommended for approval by the Jefferson Lab Program Advisory
Committee.The upgraded facility will enable a new experimental program with
substantial discovery potential to address important topics in nuclear,
hadronic, and electroweak physics.Comment: 64 page
BET Bromodomain Inhibition as a Therapeutic Strategy to Target c-Myc
SummaryMYC contributes to the pathogenesis of a majority of human cancers, yet strategies to modulate the function of the c-Myc oncoprotein do not exist. Toward this objective, we have targeted MYC transcription by interfering with chromatin-dependent signal transduction to RNA polymerase, specifically by inhibiting the acetyl-lysine recognition domains (bromodomains) of putative coactivator proteins implicated in transcriptional initiation and elongation. Using a selective small-molecule bromodomain inhibitor, JQ1, we identify BET bromodomain proteins as regulatory factors for c-Myc. BET inhibition by JQ1 downregulates MYC transcription, followed by genome-wide downregulation of Myc-dependent target genes. In experimental models of multiple myeloma, a Myc-dependent hematologic malignancy, JQ1 produces a potent antiproliferative effect associated with cell-cycle arrest and cellular senescence. Efficacy of JQ1 in three murine models of multiple myeloma establishes the therapeutic rationale for BET bromodomain inhibition in this disease and other malignancies characterized by pathologic activation of c-Myc.PaperFlic
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