328 research outputs found

    Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams

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    The name entity disambiguation task aims to partition the records of multiple real-life persons so that each partition contains records pertaining to a unique person. Most of the existing solutions for this task operate in a batch mode, where all records to be disambiguated are initially available to the algorithm. However, more realistic settings require that the name disambiguation task be performed in an online fashion, in addition to, being able to identify records of new ambiguous entities having no preexisting records. In this work, we propose a Bayesian non-exhaustive classification framework for solving online name disambiguation task. Our proposed method uses a Dirichlet process prior with a Normal * Normal * Inverse Wishart data model which enables identification of new ambiguous entities who have no records in the training data. For online classification, we use one sweep Gibbs sampler which is very efficient and effective. As a case study we consider bibliographic data in a temporal stream format and disambiguate authors by partitioning their papers into homogeneous groups. Our experimental results demonstrate that the proposed method is better than existing methods for performing online name disambiguation task.Comment: to appear in CIKM 201

    Dual Contrastive Loss and Attention for {GANs}

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    Challenges in the Search for Perchlorate and Other Hydrated Minerals With 2.1-μm Absorptions on Mars

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    A previously unidentified artifact has been found in Compact Reconnaissance Imaging Spectrometer for Mars targeted I/F data. It exists in a small fraction (<0.05%) of pixels within 90% of images investigated and occurs in regions of high spectral/spatial variance. This artifact mimics real mineral absorptions in width and depth and occurs most often at 1.9 and 2.1 μm, thus interfering in the search for some mineral phases, including alunite, kieserite, serpentine, and perchlorate. A filtering step in the data processing pipeline, between radiance and I/F versions of the data, convolves narrow artifacts (“spikes”) with real atmospheric absorptions in these wavelength regions to create spurious absorption-like features. The majority of previous orbital detections of alunite, kieserite, and serpentine we investigated can be confirmed using radiance and raw data, but few to none of the perchlorate detections reported in published literature remain robust over the 1.0- to 2.65-μm wavelength range

    Gold-on-glass microwave split-ring resonators with PDMS microchannels for differential measurement in microfluidic sensing

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    This paper describes a microwave resonator incorporating microfluidic lab-on-chip sensor system capable of performing simultaneous differential measurement based sensing of liquid samples. The resonators are split-ring resonator shapes made of gold on glass substrates. Directly bonded on glass substrates are polydimethylsiloxane microchannels. Sensor system design incorporates a pair of identical resonators, one of which performs reference reading from the background. Tracking the difference of the responses of both resonators simultaneously, rather than a single one, is used to obtain a more linear and noise-free reading. The sensor system was produced with conventional fabrication techniques. It is compatible with low-cost, simple, easy to handle sensing applications. Results indicate that reliable differential measurement was possible owing to a well-matched pair of sensors with a response error as low as 0.1%. It was also demonstrated that differential measurement capability enables sensing with improved linearity. Measurements were performed with glucose solutions in the range of 3.2–16.1 mM, achieving a sensitivity of 0.16 MHz/mM

    Screening for Diabetes

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    Violence against women: The perspective of academic women

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    <p>Abstract</p> <p>Background</p> <p>Opinion surveys about potential causes of violence against women (VAW) are uncommon. This study explores academic women's opinions about VAW and the ways of reducing violence.</p> <p>Methods</p> <p>Quantitative and qualitative methods were used in this descriptive study. One hundred-and-fifteen academicians participated in the study from two universities. A questionnaire was used regarding the definition and the causes of VAW, the risk groups and opinions about the solutions. Additionally, two authors interviewed 8 academicians from universities other than that of the interviewing author.</p> <p>Results</p> <p>Academicians discussed the problem from the perspective of "gender-based violence" rather than "family violence". The majority of the participants stated that nonworking women of low socioeconomic status are most at risk for VAW. They indicated that psychological violence is more prevalent against educated women, whilst physical violence is more likely to occur against uneducated and nonworking women. Perpetrator related factors were the most frequently stated causes of VAW. Thirty-five percent of the academicians defined themselves as at risk of some act of VAW. Recommendations for actions against violence were empowerment of women, increasing the educational levels in the society, and legal measures.</p> <p>Conclusions</p> <p>Academic women introduced an ecological approach for the explanation of VAW by stressing the importance of taking into account the global context of the occurrence of VAW. Similar studies with various community members -including men- will help to define targeted interventions.</p
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