957 resultados para mutual inductance
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Dyadic friendShip' asymmetry was examined in relation to gender, friendship quality, and friendship status. Sixty-nine grade five children and their mutual, same-sex, friends participated in a laboratory session comprised ofvarious activities and completed questionnaires to identify mutual friends and evaluate friendship quality. Asymmetry of power was assessed observationally during an origami task. Variations in balance of power were evident in children's friendships. Boys' dyads had significantly greater levels of asymmetry than girls' dyads. Regardless of gender, asymmetry was associated with lower friendship quality, particularly as indexed by validation and caring and conflict resolution. Asymmetry was unrelated to differences in friendship status. Furthermore, relative individual power within the friendship was not related to individual perceptions offriendship quality. The implications ofthese findings in the theoretical and empirical literature were considered and suggestions for future research were made.
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Taking advantage of the unique Canadian setting, this study empirically analyzes the impact of presence of the board of directors, as an internal governance mechanism, on fees and performance of mutual funds. Further, the impact of the board structure on fees and performance of corporate class funds is analyzed. We find that corporate class funds, which have a separate board of directors for the fund, charge higher fees; however, they also provide superior performance than trust funds. Furthermore, we find that for corporate class funds, smaller board, with higher percentage of independent directors, and with the fund CEO acting as the chairman of the board is likely to charge lower fees. Also, more independent boards are strongly associated with superior fee-adjusted performance.
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Emerging markets have received wide attention from investors around the globe because of their return potential and risk diversification. This research examines the selection and timing performance of Canadian mutual funds which invest in fixed-income and equity securities in emerging markets. We use (un)conditional two- and five-factor benchmark models that accommodate the dynamics of returns in emerging markets. We also adopt the cross-sectional bootstrap methodology to distinguish between ‘skill’ and ‘luck’ for individual funds. All the tests are conducted using a comprehensive data set of bond and equity emerging funds over the period of 1989-2011. The risk-adjusted measures of performance are estimated using the least squares method with the Newey-West adjustment for standard errors that are robust to conditional heteroskedasticity and autocorrelation. The performance statistics of the emerging funds before (after) management-related costs are insignificantly positive (significantly negative). They are sensitive to the chosen benchmark model and conditional information improves selection performance. The timing statistics are largely insignificant throughout the sample period and are not sensitive to the benchmark model. Evidence of timing and selecting abilities is obtained in a small number of funds which is not sensitive to the fees structure. We also find evidence that a majority of individual funds provide zero (very few provide positive) abnormal return before fees and a significantly negative return after fees. At the negative end of the tail of performance distribution, our resampling tests fail to reject the role of bad luck in the poor performance of funds and we conclude that most of them are merely ‘unlucky’.
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Statement of Mrs. H.K. Woodruff regarding Woodruff and Mutual Life. This is a 3 page typed, unsigned statement regarding Hamilton K. Woodruff and his state of mind prior to his death, n.d.
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Letter to Mr. Summer and Mr. Nelles from the Office of the N.D. Mutual Insurance Company of St. Catharines regarding an assessment of 4 % on the premium notes of this company. This is signed by Mr. Arnold, secretary of N.D. Mutual F. Insurance Company, Aug. 9, 1848.
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Letter to Robert Nelles from the Office of the N.D. Mutual Fire Insurance Company regarding an assessment of 5% on the premium notes of this company. This is signed by Mr. Arnold, secretary of the N.D. Mutual F. Insurance Company, Dec. 15, 1849.
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UANL
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A low inductance, triggered spark gap switch suitable for a high-current fast discharge system has been developed. The details of the design and fabrication of this pressurized spark gap, which uses only commonly available materials are described. A transverse discharge Blumlein-driven N2 laser incorporating this device gives a peak output power of 700 kW with a FWHM of 3 ns and an efficiency of 0.51%, which is remarkably high for a pulsed nitrogen laser system.
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Unfortunately, in India it is a fact that most of the investors are not interested in mutual funds. Those who are investing, they are investing only very small amounts. But what is important to be noted here is that when compared to other financial instruments, investments in mutual funds are safer and also yields more returns on the investment portfolio. Moreover as an investment avenue mutual fund is available for those investors who are not willing to take any exposure directly in the security market. It also helps such investors to build their wealth over a period of time. At the retail level, investors are unique and are highly heterogeneous, and the mutual fund schemes' selection will also differ depends on their expectations. Hence, investors’ expectation is a very important factor in this regard that needs to be analysed by all the investment houses. Hence, the factors that drive the investment decisions of individual investors to meet their expectations by investing money in mutual funds need an in-depth analysis. These driving forces include the preference of investors on mutual fund compared to various available avenues of financial investments, risk attitude of investors, influence of characteristics of instruments of mutual funds on investors, the investment specific attitudes of investors, and influence of qualities of fund management on investors. The success of any mutual fund, a popular means of investment, depends on how effectively an Asset Management Company has been able to understand the level of influence of these factors on the decision of investors to invest in mutual funds. For a substantial growth in the mutual fund market, there must be a high level precision in the design and marketing of the products of mutual funds taking into account these driving forces by the Asset Management Companies. Therefore, there is a need to conduct a detailed study on investments in mutual funds in this direction. A review of available literature also revealed that no detailed study on mutual funds has so far been attempted in this direction; hence the present study on Driving Forces of Investment Decisions in Mutual Funds is undertaken.
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A new information-theoretic approach is presented for finding the pose of an object in an image. The technique does not require information about the surface properties of the object, besides its shape, and is robust with respect to variations of illumination. In our derivation, few assumptions are made about the nature of the imaging process. As a result the algorithms are quite general and can foreseeably be used in a wide variety of imaging situations. Experiments are presented that demonstrate the approach registering magnetic resonance (MR) images with computed tomography (CT) images, aligning a complex 3D object model to real scenes including clutter and occlusion, tracking a human head in a video sequence and aligning a view-based 2D object model to real images. The method is based on a formulation of the mutual information between the model and the image called EMMA. As applied here the technique is intensity-based, rather than feature-based. It works well in domains where edge or gradient-magnitude based methods have difficulty, yet it is more robust than traditional correlation. Additionally, it has an efficient implementation that is based on stochastic approximation. Finally, we will describe a number of additional real-world applications that can be solved efficiently and reliably using EMMA. EMMA can be used in machine learning to find maximally informative projections of high-dimensional data. EMMA can also be used to detect and correct corruption in magnetic resonance images (MRI).
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It is in the interest of most states to eliminate double taxation (i.e. the payment of the same tax in two jurisdictions) of transnational commercial enterprises. Because such disputes involve, on the one hand, the state imposition of taxes, a right universally asserted by all states, and private entities on the other, taxation disputes between such parties are not, on their face, easily susceptible to arbitration. This article analyzes two dispute settlement procedures-the OECD First Model Tax Convention and a similar EU Convention-with the exclusive focus on disputes relating to the imposition of double taxation. It will look at the ways in which state roles may vary under these procedures from assisting in the negotiation process to taking a part similar to, but with important differences from, diplomatic protection on behalf of an affected enterprise. The article will examine the situations under which the settlement procedure is required and/or available, how the procedures are triggered, the obligations and parts played by the parties, the means by which the disputes are resolved (from negotiations to tribunals) and the limitations of the procedures. Are they “taxpayer friendly”? As a result the reader may draw comparisons between the two procedures. Finally, the article will look at the proposed OECD Arbitration Clause which is intended to be incorporated into Article 25 of the OECD Model Tax Convention as well as how these mechanisms relate and/or conflict with bilateral tax treaties and the GATS.
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Shape complexity has recently received attention from different fields, such as computer vision and psychology. In this paper, integral geometry and information theory tools are applied to quantify the shape complexity from two different perspectives: from the inside of the object, we evaluate its degree of structure or correlation between its surfaces (inner complexity), and from the outside, we compute its degree of interaction with the circumscribing sphere (outer complexity). Our shape complexity measures are based on the following two facts: uniformly distributed global lines crossing an object define a continuous information channel and the continuous mutual information of this channel is independent of the object discretisation and invariant to translations, rotations, and changes of scale. The measures introduced in this paper can be potentially used as shape descriptors for object recognition, image retrieval, object localisation, tumour analysis, and protein docking, among others