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    v. 61, no. 20, October 15, 1993

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    Application of the Two-Scale Model to the HERMES Data on Nuclear Attenuation

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    The Two-Scale Model and its improved version were used to perform the fit to the HERMES data for ν\nu (the virtual photon energy) and z (the fraction of ν\nu carried by hadron) dependencies of nuclear multiplicity ratios for π+\pi^+ and π−\pi^- mesons electro-produced on two nuclear targets (14^{14}N and 84^{84}Kr). The quantitative criterium χ2\chi ^2 was used for the first time to analyse the results of the model fit to the nuclear multiplicity ratios data. The two-parameter's fit gives satisfactory agreement with the HERMES data. Best values of the parameters were then used to calculate the ν\nu- and zz - dependencies of nuclear attenuation for π0\pi^0, K+^+, K−^- and pˉ\bar{p} produced on 84^{84}Kr target, and also make a predictions for ν\nu, z and the Q2^2 (the photon virtuality) - dependencies of nuclear attenuation data for those identified hadrons and nuclea, that will be published by HERMES

    Regulation 61-20 communicable diseases

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    These regulations pertain to the reporting and control of communicable diseases and infectious conditions. They require healthcare practitioners, institutions, laboratories, and others to report known or suspected cases of reportable conditions to the Department of Health, following specified timeframes and procedures. The regulations grant the Department authority to investigate reported instances, enforce control measures, including isolation and quarantine, and impose penalties for non-compliance

    The Cowl - v.61 -n.20 - Mar 20, 1997

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    The Cowl - student newspaper of Providence College. Volume 61, Number 20 - Mar 20, 1997. 28 pages

    Flyer News, Vol. 61, No. 20

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    Student-run newspaper of the University of Dayton

    From: S.B. Patterson (6/20/61)

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    From: Paul Hunton (4/20/61)

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    To: Dewayne Davenport (4/20/61)

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    From: W.A. Bradfield (11/20/61)

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    Flyer News, Vol. 61, No. 20

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    Student-run newspaper of the University of Dayton
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