1,180 research outputs found

    Circuits and circuit testing for spaceborne redundant digital systems Special technical report no. 3

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    Design and testing of majority logic redundancy for spaceborne and GSE digital system

    The Impact of the Capital Construction Fund on the Rhode Island Commercial Fishing Industry

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    The impact of the Capital Construction Fund, a tax deferral program utilized for the construction of fishing vessels, is examined in the context of Rhode Island\u27s fishing industry. It was believed that the Capital Construction Fund contributed to overcapitalization, was an incentive to purchase a vessel, and was mainly used by individuals targeting underutilized species. Indicators of capitalization such as number, size, and ages of vessels owned were gathered from the owners of vessels home-ported in Rhode Island during personal interviews. Response of those that have used the Program were separated from those who have not. A frequency analysis was utilized to determine if there were differences between the two groups regarding indicators of capitalization. Few major differences were found between the two groups. Thus, it was determined that the Capital Construction Fund does not contribute to overcapitalization, is not an incentive to purchase a new vessel, nor is it used predominantly by vessels that target underutilized species, in the Rhode Island fishing industry

    Justifying Leadership: A Social Cognitive Approach to Understanding and Predicting Egotistic and Philanthropic Leadership

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    This study extends the current literature on egotistic and philanthropic leadership by considering the role of social cognition in explaining self-serving versus collective- serving leadership behaviors. Specifically, this study proposed that the overt traits and behaviors that constitute egotistic and philanthropic leadership are surface manifestations of the justification mechanisms (JMs) stemming from uninhibited and inhibited power motives. Thus, the purpose of this study was to identify the JMs that egotistic leaders rely on to enhance the rational appeal of self-serving influence behaviors and the JMs that philanthropic leaders rely on to enhance the rational appeal of collective-serving influence behaviors. Additionally, this study aimed to develop and validate a conditional reasoning test designed to measure these JMs. It was hypothesized that the extent to which individuals’ rely on egotistic justifications mechanisms to rationalize behavior would be positively related to the extent to which they use hard influence tactics and manipulative influence tactics. Furthermore, it was also hypothesized that the extent to which individuals’ use philanthropic justifications mechanisms to rationalize behavior would be positively related to the extent to which they use soft influence tactics and rational persuasion to influence others. Preliminary support was found for the relationship between the egotistic JMs and self-serving influence behaviors and for the relationship between the philanthropic JMs and collective-serving influence behaviors. Thus, the initial validity evidence for using the conditional reasoning methodology in the prediction of egotistic and philanthropic leadership behaviors was promising

    Risk-shifting Through Issuer Liability and Corporate Monitoring

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    This article explores how issuer liability re-allocates fraud risk and how risk allocation may reduce the incidence of fraud. In the US, the apparent absence of individual liability of officeholders and insufficient monitoring by insurers under-mine the potential deterrent effect of securities litigation. The underlying reasons why both mechanisms remain ineffective are collective action problems under the prevailing dispersed ownership structure, which eliminates the incentives to moni-tor set by issuer liability. This article suggests that issuer liability could potentially have a stronger deterrent effect when it shifts risk to individuals or entities holding a larger financial stake. Thus, it would enlist large shareholders in monitoring in much of Europe. The same risk-shifting effect also has implications for the debate about the relationship between securities litigation and creditor interests. Credi-tors’ claims should not be given precedence over claims of defrauded investors (e.g., because of the capital maintenance principle), since bearing some of the fraud risk will more strongly incentivise large creditors, such as banks, to monitor the firm in jurisdictions where corporate debt is relatively concentrated

    Collusion through Joint R&D: An Empirical Assessment

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    This paper tests whether upstream R&D cooperation leads to downstream collusion. We consider an oligopolistic setting where firms enter in research joint ventures (RJVs) to lower production costs or coordinate on collusion in the product market. We show that a sufficient condition for identifying collusive behavior is a decline in the market share of RJV-participating firms, which is also necessary and sufficient for a decrease in consumer welfare. Using information from the US National Cooperation Research Act, we estimate a market share equation correcting for the endogeneity of RJV participation and R&D expenditures. We find robust evidence that large networks between direct competitors – created through firms being members in several RJVs at the same time – are conducive to collusive outcomes in the product market which reduce consumer welfare. By contrast, RJVs among non-competitors are efficiency enhancing

    Packing and Hausdorff measures of stable trees

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    In this paper we discuss Hausdorff and packing measures of random continuous trees called stable trees. Stable trees form a specific class of L\'evy trees (introduced by Le Gall and Le Jan in 1998) that contains Aldous's continuum random tree (1991) which corresponds to the Brownian case. We provide results for the whole stable trees and for their level sets that are the sets of points situated at a given distance from the root. We first show that there is no exact packing measure for levels sets. We also prove that non-Brownian stable trees and their level sets have no exact Hausdorff measure with regularly varying gauge function, which continues previous results from a joint work with J-F Le Gall (2006).Comment: 40 page

    Anaphora Resolution in Near-Native Speakers of Italian

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    This study presents data from an experiment on the interpretation of intrasentential anaphora in Italian by native Italian speakers and by English speakers who have learned Italian as adults and have reached a near-native level of proficiency in this language. The two groups of speakers were presented with complex sentences consist-ing of a main clause and a subordinate clause, in which the subor-dinate clause had either an overt pronoun or a null subject pronoun. In half of the sentences the main clause preceded the subordinate clause (forward anaphora) and in the other half the subordinate clause preceded the main clause (backward anaphora). Participants performed in a picture verification task in which they had to indi-cate the picture(s) that corresponded to the meaning of the subor-dinate clause, thus identifying the possible antecedents of the null or overt subject pronouns. The patterns of responses of the two groups were very similar with respect to the null subject pronouns in both the forward and backward anaphora conditions. Compared to native monolingual speakers, however, the near-natives had a significantly higher preference for the subject of the matrix clause as a possible antecedent of overt subject pronouns, particularly in the backward anaphora condition. The results indicate that near-native speakers have acquired the syntactic constraints on pronom-inal subjects in Italian, but may have residual indeterminacy in the interface processing strategies they employ in interpreting pronom-inal forms

    A frequentist framework of inductive reasoning

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    Reacting against the limitation of statistics to decision procedures, R. A. Fisher proposed for inductive reasoning the use of the fiducial distribution, a parameter-space distribution of epistemological probability transferred directly from limiting relative frequencies rather than computed according to the Bayes update rule. The proposal is developed as follows using the confidence measure of a scalar parameter of interest. (With the restriction to one-dimensional parameter space, a confidence measure is essentially a fiducial probability distribution free of complications involving ancillary statistics.) A betting game establishes a sense in which confidence measures are the only reliable inferential probability distributions. The equality between the probabilities encoded in a confidence measure and the coverage rates of the corresponding confidence intervals ensures that the measure's rule for assigning confidence levels to hypotheses is uniquely minimax in the game. Although a confidence measure can be computed without any prior distribution, previous knowledge can be incorporated into confidence-based reasoning. To adjust a p-value or confidence interval for prior information, the confidence measure from the observed data can be combined with one or more independent confidence measures representing previous agent opinion. (The former confidence measure may correspond to a posterior distribution with frequentist matching of coverage probabilities.) The representation of subjective knowledge in terms of confidence measures rather than prior probability distributions preserves approximate frequentist validity.Comment: major revisio

    Two Distinct Categories of Focal Deletions in Cancer Genomes

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    One of the key questions about genomic alterations in cancer is whether they are functional in the sense of contributing to the selective advantage of tumor cells. The frequency with which an alteration occurs might reflect its ability to increase cancer cell growth, or alternatively, enhanced instability of a locus may increase the frequency with which it is found to be aberrant in tumors, regardless of oncogenic impact. Here we've addressed this on a genome-wide scale for cancer-associated focal deletions, which are known to pinpoint both tumor suppressor genes (tumor suppressors) and unstable loci. Based on DNA copy number analysis of over one-thousand human cancers representing ten different tumor types, we observed five loci with focal deletion frequencies above 5%, including the A2BP1 gene at 16p13.3 and the MACROD2 gene at 20p12.1. However, neither RNA expression nor functional studies support a tumor suppressor role for either gene. Further analyses suggest instead that these are sites of increased genomic instability and that they resemble common fragile sites (CFS). Genome-wide analysis revealed properties of CFS-like recurrent deletions that distinguish them from deletions affecting tumor suppressor genes, including their isolation at specific loci away from other genomic deletion sites, a considerably smaller deletion size, and dispersal throughout the affected locus rather than assembly at a common site of overlap. Additionally, CFS-like deletions have less impact on gene expression and are enriched in cell lines compared to primary tumors. We show that loci affected by CFS-like deletions are often distinct from known common fragile sites. Indeed, we find that each tumor tissue type has its own spectrum of CFS-like deletions, and that colon cancers have many more CFS-like deletions than other tumor types. We present simple rules that can pinpoint focal deletions that are not CFS-like and more likely to affect functional tumor suppressors

    UV spectrophotometry method for the monitoring of galacto-oligosaccharides production

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    Monitoring the industrial production of galacto-oligosaccharides (GOS) requires a fast and accurate methodology able to quantify, in real time, the substrate level and the product yield. In this work, a simple, fast and inexpensive UV spectrophotometric method, together with partial least squares regression (PLS) and artificial neural networks (ANN), was applied to simultaneously estimate the products (GOS) and the substrate (lactose) concentrations in fermentation samples. The selected multiple models were trained and their prediction abilities evaluated by cross-validation and external validation being the results obtained compared with HPLC measurements. ANN models, generated from absorbance spectra data of the fermentation samples, gave, in general, the best performance being able to accurately and precisely predict lactose and total GOS levels, with standard error of prediction lower than 13 g kg 1 and coefficient of determination for the external validation set of 0.93–0.94, showing residual predictive deviations higher than five, whereas lower precision was obtained with the multiple model generated with PLS. The results obtained show that UV spectrophotometry allowed an accurate and non-destructive determination of sugars in fermentation samples and could be used as a fast alternative method for monitoring GOS production.Fundação para a Ciência e a Tecnologia (FCT) - Bolsa de doutouramento SFRH/BDE/15510/2004Agência da Inovação – Programa IDEIA (Potugal
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