58,442 research outputs found

    State Taxation of Unitary Businesses

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    The income taxation of multistate businesses has created problems for tax administrators, primarily with regard to the question of how to divide the income taxation amongst the multiple states. To address this, the concepts of unitary business and formula apportionment have been created. However, the non-uniform state taxation practices create difficulties even with the existence of these concepts. Some states have adopted the Multistate Tax Compact, but for it to be completely effective there still must be a uniform view adopted on what constitutes a unitary business. This note examines the constitutional issues attendant to developing a standard definition of a unitary business, an in-depth analysis of the unitary business concept and its origins, and proposes a workable definition of a unitary business

    Efficient independent component analysis

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    Independent component analysis (ICA) has been widely used for blind source separation in many fields such as brain imaging analysis, signal processing and telecommunication. Many statistical techniques based on M-estimates have been proposed for estimating the mixing matrix. Recently, several nonparametric methods have been developed, but in-depth analysis of asymptotic efficiency has not been available. We analyze ICA using semiparametric theories and propose a straightforward estimate based on the efficient score function by using B-spline approximations. The estimate is asymptotically efficient under moderate conditions and exhibits better performance than standard ICA methods in a variety of simulations.Comment: Published at http://dx.doi.org/10.1214/009053606000000939 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

    In vivo therapeutic efficacy of frog skin-derived peptides against Pseudomonas aeruginosa-induced pulmonary infection

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    Pseudomonas aeruginosa is an opportunistic and frequently drug-resistant pulmonary pathogen especially in cystic fibrosis sufferers. Recently, the frog skin-derived antimicrobial peptide (AMP) Esc(1-21) and its diastereomer Esc(1-21)-1c were found to possess potent in vitro antipseudomonal activity. Here, they were first shown to preserve the barrier integrity of airway epithelial cells better than the human AMP LL-37. Furthermore, Esc(1-21)-1c was more efficacious than Esc(1-21) and LL-37 in protecting host from pulmonary bacterial infection after a single intra-tracheal instillation at a very low dosage of 0.1 mg/kg. The protection was evidenced by 2-log reduction of lung bacterial burden and was accompanied by less leukocytes recruitment and attenuated inflammatory response. In addition, the diastereomer was more efficient in reducing the systemic dissemination of bacterial cells. Importantly, in contrast to what reported for other AMPs, the peptide was administered at 2 hours after bacterial challenge to better reflect the real life infectious conditions. To the best of our knowledge, this is also the first study investigating the effect of AMPs on airway-epithelia associated genes upon administration to infected lungs. Overall, our data highly support advanced preclinical studies for the development of Esc(1-21)-1c as an efficacious therapeutic alternative against pulmonary P. aeruginosa infection

    Understanding Compressive Adversarial Privacy

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    Designing a data sharing mechanism without sacrificing too much privacy can be considered as a game between data holders and malicious attackers. This paper describes a compressive adversarial privacy framework that captures the trade-off between the data privacy and utility. We characterize the optimal data releasing mechanism through convex optimization when assuming that both the data holder and attacker can only modify the data using linear transformations. We then build a more realistic data releasing mechanism that can rely on a nonlinear compression model while the attacker uses a neural network. We demonstrate in a series of empirical applications that this framework, consisting of compressive adversarial privacy, can preserve sensitive information

    On Logarithmically Benford Sequences

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    Let IN\mathcal{I} \subset \mathbb{N} be an infinite subset, and let {ai}iI\{a_i\}_{i \in \mathcal{I}} be a sequence of nonzero real numbers indexed by I\mathcal{I} such that there exist positive constants m,C1m, C_1 for which aiC1im|a_i| \leq C_1 \cdot i^m for all iIi \in \mathcal{I}. Furthermore, let ci[1,1]c_i \in [-1,1] be defined by ci=aiC1imc_i = \frac{a_i}{C_1 \cdot i^m} for each iIi \in \mathcal{I}, and suppose the cic_i's are equidistributed in [1,1][-1,1] with respect to a continuous, symmetric probability measure μ\mu. In this paper, we show that if IN\mathcal{I} \subset \mathbb{N} is not too sparse, then the sequence {ai}iI\{a_i\}_{i \in \mathcal{I}} fails to obey Benford's Law with respect to arithmetic density in any sufficiently large base, and in fact in any base when μ([0,t])\mu([0,t]) is a strictly convex function of t(0,1)t \in (0,1). Nonetheless, we also provide conditions on the density of IN\mathcal{I} \subset \mathbb{N} under which the sequence {ai}iI\{a_i\}_{i \in \mathcal{I}} satisfies Benford's Law with respect to logarithmic density in every base. As an application, we apply our general result to study Benford's Law-type behavior in the leading digits of Frobenius traces of newforms of positive, even weight. Our methods of proof build on the work of Jameson, Thorner, and Ye, who studied the particular case of newforms without complex multiplication.Comment: 10 page

    Spatial Correlation in Matter Wave Interference as a Measure of Decoherence, Dephasing and Entropy

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    The loss of contrast in double-slit electron-diffraction due to dephasing and decoherence processes is studied. It is shown that the spatial correlation function of diffraction patterns can be used to distinguish between dephasing and decoherence. This establishes a measure of time-reversibility that does not require the determination of coherence terms of the density matrix, while von Neumann entropy, another measure of time-reversibility, does require coherence terms. This technique is exciting in view of the need to understand and control the detrimental experimental effects of contrast loss and for fundamental studies on the transition from the classical to the quantum regime.Comment: 14 pages, 6 figures, submitted to Physical Review
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