5,905 research outputs found

    Mirroring Mobile Phone in the Clouds

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    This paper presents a framework of Mirroring Mobile Phone in the Clouds (MMPC) to speed up data/computing intensive applications on a mobile phone by taking full advantage of the super computing power of the clouds. An application on the mobile phone is dynamically partitioned in such a way that the heavy-weighted part is always running on a mirrored server in the clouds while the light-weighted part remains on the mobile phone. A performance improvement (an energy consumption reduction of 70% and a speed-up of 15x) is achieved at the cost of the communication overhead between the mobile phone and the clouds (to transfer the application codes and intermediate results) of a desired application. Our original contributions include a dynamic profiler and a dynamic partitioning algorithm compared with traditional approaches of either statically partitioning a mobile application or modifying a mobile application to support the required partitioning

    Attayeb/auto-q: Auto-q Qiime Automating script

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    <p><strong>Auto-q Qiime Analysis Automating Script</strong></p> <p><strong>Motivation:</strong> QIIME is a commonly used pipeline for microbiome data analysis. However, to run Qiime effectively and achieve its full capabilities, a large number of commands need to be typed and executed, which is a significant hurdle to those without a solid computing background.<br> <strong>Results:</strong> A script named Auto-q was written in Python. It works as an interface to the Qiime cascade and produces all the results using only a single command. This script can be used to analyze paired-end FASTQ files produced by Illumina instruments with the following six steps: quality trimming, paired reads merging, chimera removal, quality control, OTU (Operational Taxonomy Units) picking, and diversity analyses. While it automates complicated workflows with reasonable defaults, most major analysis options can be also specified using command-line arguments or a configuration file.<br> <strong>Availability:</strong> Auto-q is hosted at: https://github.com/Attayeb/auto-q<br> <strong>Contact:</strong> [email protected] and [email protected]</p> <p>This work was in part supported by grants from the Ministry of Health, Labour and Welfare of Japan and the Japan Agency for Medical Research and Development (16817372).</p&gt

    Modification of Loop 1 Affects the Nucleotide Binding Properties of Myo1c, the Adaptation Motor in the Inner Ear

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    Myo1c is one of eight members of the mammalian myosin I family of actin-associated molecular motors. In stereocilia of the hair cells in the inner ear, Myo1c presumably serves as the adaptation motor, which regulates the opening and closing of transduction channels. Although there is conservation of sequence and structure among all myosins in the N-terminal motor domain, which contains the nucleotide- and actin-binding sites, some differences include the length and composition of surface loops, including loop 1, which lies near the nucleotide-binding domain. To investigate the role of loop 1, we expressed in insect cells mutants of a truncated form of Myo1c, Myo1c1IQ, as well as chimeras of Myo1c1IQ with the analogous loop from other myosins. We found that replacement of the charged residues in loop 1 with alanines or the whole loop with a series of alanines did not alter the ATPase activity, transient kinetics properties, or Ca2+ sensitivity of Myo1c1IQ. Substitution of loop 1 with that of the corresponding region from tonic smooth muscle myosin II (Myo1c1IQ-tonic) or replacement with a single glycine (Myo1c1IQ-G) accelerated the release of ADP from A.M 2?3-fold in Ca2+, whereas substitution with loop 1 from phasic muscle myosin II (Myo1c1IQ-phasic) accelerated the release of ADP 35-fold. Motility assays with chimeras containing a single ?-helix, or SAH, domain showed that Myo1cSAH-tonic translocated actin in vitro twice as fast as Myo1cSAH-WT and 3-fold faster than Myo1cSAH-G. The studies show that changes induced in Myo1c via modification of loop 1 showed no resemblance to the behavior of the loop donor myosins or to the changes previously observed with similar Myo1b chimeras

    The q-Borel Sum of Divergent Basic Hypergeometric Series ᵣφₛ(a; b; q, x)

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    We study the divergent basic hypergeometric series, which is a q-analog of divergent hypergeometric series. This series formally satisfies the linear q-difference equation. In this paper, for that equation, we give an actual solution which admits basic hypergeometric series as a q-Gevrey asymptotic expansion. Such an actual solution is obtained by using q-Borel summability, which is a q-analog of Borel summability. Our result shows a q-analog of the Stokes phenomenon. Additionally, we show that letting q→1 in our result gives the Borel sum of classical hypergeometric series. The same problem was already considered by Dreyfus, but we note that our result is remarkably different from his.The author would like to thank the referees for their helpful suggestions and valuable comments. Additionally, the author is grateful that one of the referees let him know the existence of the papers [5] and [11]

    ON SURFACES WITH p_g=q=2, K²=5 AND ALBANESE MAP OF DEGREE 3

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    We construct a connected, irreducible component of the moduli space of minimal surfaces of general type with p_g = q = 2 and K^2 = 5, which contains both examples given by Chen-Hacon and the first author. This component is generically smooth of dimension 4, and all its points parametrize surfaces whose Albanese map is a generically finite triple cover

    On surfaces with pg = q = 2, k2 = 5 and albanese map of degree 3

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    We construct a connected, irreducible component of the moduli space of minimal surfaces of general type with pg = q = 2 and K2 = 5, which contains both examples given by Chen-Hacon and the first author. This component is generically smooth of dimension 4, and all its points parametrize surfaces whose Albanese map is a generically finite triple cover

    On surfaces with pg = q = 2, k2 = 5 and albanese map of degree 3

    No full text
    We construct a connected, irreducible component of the moduli space of minimal surfaces of general type with pg = q = 2 and K2 = 5, which contains both examples given by Chen-Hacon and the first author. This component is generically smooth of dimension 4, and all its points parametrize surfaces whose Albanese map is a generically finite triple cover

    ON SURFACES WITH p_g=q=2, K²=5 AND ALBANESE MAP OF DEGREE 3

    No full text
    We construct a connected, irreducible component of the moduli space of minimal surfaces of general type with p_g = q = 2 and K^2 = 5, which contains both examples given by Chen-Hacon and the first author. This component is generically smooth of dimension 4, and all its points parametrize surfaces whose Albanese map is a generically finite triple cover

    Metabolic profiling and population screening of analgesic usage in nuclear magnetic resonance spectroscopy-based large-scale epidemiologic studies

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    The application of a 1H nuclear magnetic resonance (NMR) spectroscopy-based screening method for determining the use of two widely available analgesics (acetaminophen and ibuprofen) in epidemiologic studies has been investigated. We used samples and data from the cross-sectional INTERMAP Study involving participants from Japan (n = 1145), China (n = 839), U.K. (n = 501), and the U.S. (n = 2195). An orthogonal projection to latent structures discriminant analysis (OPLS-DA) algorithm with an incorporated Monte Carlo resampling function was applied to the NMR data set to determine which spectra contained analgesic metabolites. OPLS-DA preprocessing parameters (normalization, bin width, scaling, and input parameters) were assessed systematically to identify an optimal acetaminophen prediction model. Subsets of INTERMAP spectra were examined to verify and validate the presence/absence of acetaminophen/ibuprofen based on known chemical shift and coupling patterns. The optimized and validated acetaminophen model correctly predicted 98.2%, and the ibuprofen model correctly predicted 99.0% of the urine specimens containing these drug metabolites. The acetaminophen and ibuprofen models were subsequently used to predict the presence/absence of these drug metabolites for the remaining INTERMAP specimens. The acetaminophen model identified 415 out of 8436 spectra as containing acetaminophen metabolite signals while the ibuprofen model identified 245 out of 8604 spectra as containing ibuprofen metabolite signals from the global data set after excluding samples used to construct the prediction models. The NMR-based metabolic screening strategy provides a new objective approach for evaluation of self-reported medication data and is extendable to other aspects of population xenometabolome profiling
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