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    Ross, A D M, 24818

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/414332Surname: ROSS. Given Name(s) or Initials: A D M. Military Service Number or Last Known Location: 24818. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 49315.233544 Item: [2016.0049.46593] "Ross, A D M, 24818

    The Role of Evidence in Establishing Trust in Repositories

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    This article arises from work by the Digital Curation Centre (DCC) Working Group examining mechanisms to roll out audit and certification services for digital repositories in the United Kingdom. Our attempt to develop a program for applying audit and certification processes and tools took as its starting point the RLG-NARA Audit Checklist for Certifying Digital Repositories. Our intention was to appraise critically the checklist and conceive a means of applying its mechanics within a diverse range of repository environments. We were struck by the realization that while a great deal of effort has been invested in determining the characteristics of a 'trusted digital repository', far less effort has concentrated on the ways in which the presence of the attributes can be demonstrated and their qualities measured. With this in mind we sought to explore the role of evidence within the certification process, and to identify examples of the types of evidence (e.g., documentary, observational, and testimonial) that might be desirable during the course of a repository audit.

    1ST MEASUREMENT OF GAMMA(D(S)(+)-]MU+NU)/GAMMA(D(S)(+)-]PHI-PI+)

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    Complete Author List: ACOSTA D, ATHANAS M, MASEK G, PAAR H, BEAN A, GRONBERG J, KUTSCHKE R, MENARY S, MORRISON RJ, NAKANISHI S, NELSON HN, NELSON TK, RICHMAN JD, RYD A, TAJIMA H, SCHMIDT D, SPERKA D, WITHERELL MS, PROCARIO M, YANG S, BALEST R, CHO K, DAOUDI M, FORD WT, JOHNSON DR, LINGEL K, LOHNER M, RANKIN P, SMITH JG, ALEXANDER JP, BEBEK C, BERKELMAN K, BESSON D, BROWDER TE, CASSEL DG, CHO HA, COFFMAN DM, DRELL PS, EHRLICH R, GALIK RS, GARCIASCIVERES M, GEISER B, GITTELMAN B, GRAY SW, HARTILL DL, HELTSLEY BK, JONES CD, JONES SL, KANDASWAMY J, KATAYAMA N, KIM PC, KREINICK DL, LUDWIG GS, MASUI J, MEVISSEN J, MISTRY NB, NG CR, NORDBERG E, OGG M, PATTERSON JR, PETERSON D, RILEY D, SALMAN S, SAPPER M, WORDEN H, WURTHWEIN F, AVERY P, FREYBERGER A, RODRIGUEZ J, STEPHENS R, YELTON J, CINABRO D, HENDERSON S, KINOSHITA K, LIU T, SAULNIER M, SHEN F, WILSON R, YAMAMOTO H, ONG B, SELEN M, SADOFF AJ, AMMAR R, BALL S, BARINGER P, COPPAGE D, COPTY N, DAVIS R, HANCOCK N, KELLY M, KWAK N, LAM H, KUBOTA Y, LATTERY M, NELSON JK, PATTON S, PERTICONE D, POLING R, SAVINOV V, SCHRENK S, WANG R, ALAM MS, KIM IJ, NEMATI B, ONEILL JJ, SEVERINI H, SUN CR, ZOELLER MM, CRAWFORD G, DAUBENMIER CM, FULTON R, FUJINO D, GAN KK, HONSCHEID K, KAGAN H, KASS R, LEE J, MALCHOW R, MORROW F, SKOVPEN Y, SUNG M, WHITE C, WHITMORE J, WILSON P, BUTLER F, FU X, KALBFLEISCH G, LAMBRECHT M, ROSS WR, SKUBIC P, SNOW J, WANG PL, WOOD M, BORTOLETTO D, BROWN DN, FAST J, MCILWAIN RL, MIAO T, MILLER DH, MODESITT M, SCHAFFNER SF, SHIBATA EI, SHIPSEY IPJ, WANG PN, BATTLE M, ERNST J, KROHA H, ROBERTS S, SPARKS K, THORNDIKE EH, WANG CH, DOMINICK J, SANGHERA S, SHELKOV V, SKWARNICKI T, STROYNOWSKI R, VOLOBOUEV I, ZADOROZHNY P, ARTUSO M, HE D, GOLDBERG M, HORWITZ N, KENNETT R, MONETI GC, MUHEIM F, MUKHIN Y, PLAYFER S, ROZEN Y, STONE S, THULASIDAS M, VASSEUR G, ZHU G, BARTELT J, CSORNA SE, EGYED Z, JAIN V, SHELDON P, AKERIB DS, BARISH B, CHADHA M, CHAN S, COWEN DF, EIGEN G, MILLER JS, OGRADY C, URHEIM J, WEINSTEIN A

    Everett M. Rogers et D. Lawrence Kincaid. Communication Networks. Toward a New Paradigm for Research, 1981.

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    Ross Line. Everett M. Rogers et D. Lawrence Kincaid. Communication Networks. Toward a New Paradigm for Research, 1981.. In: Communication Information, volume 4 n°2, hiver 1982. pp. 147-151

    Age, geographical distribution and taphonomy of an unusual occurrence of mummified crabeater seals on James Ross Island, Antarctica

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    An unusually dense collection of some 150 dead crabeater seals (Family Phocidae), in various stages of decay, occurs in the Brandy Bay hinterland, north-western James Ross Island, northern Antarctic Peninsula. Throughout the past 100 years, the presence of shelf ice (no longer present today) and sea ice in Prince Gustav Channel, between James Ross Island and the Antarctic Peninsula, has prevented seals from readily accessing the western side of James Ross Island. However, open water pools, some over one kilometre in diameter, remain accessible throughout the winter months, allowing seals to haul out onto the ice. It is likely that some of these seals may become disorientated as they wander away from the pools and instead head toward Brandy Bay and onto low-lying and snow-covered Abernethy Flats, easily mistaken for sea ice in early winter, where they perish. The large number of variably-decayed animals present suggests that this has probably happened on numerous occasions. However, some of the dead seals also probably perished during a documented mass dying event of crabeater seals in Prince Gustav Channel caused by an unidentified epidemic, possibly phocine distemper virus (PDV), during the spring of 1955

    Outcrossing and Sex Function in Hermaphrodites: A Resource-Allocation Model

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    Genetic estimates of outcrossing rates in seed plants usually measure the ovule or seed outcrossing rate only. However, there is good evidence for population variation in pollen fertility, which may result in sharply different ovule and pollen outcrossing rates. Therefore, a new combined ovule and pollen outcrossing rate, which depends upon the concept of successful gametes, is proposed. This rate estimates the number of ovules and pollen grains which take part in crossing, as a proportion of all successful ovules and pollen grains (fitness value). Fertility variation also causes unequal male/female functioning of hermaphrodites, and the degree of female function (functional sex) is defined as the number of successful ovules as a proportion of all successful gametes. This is a number between 0 (for males) and 1 (for females), and seldom equals 0.5 for non-fully-selfed hermaphrodites. All of these quantities are frequency dependent, since a common component (the number of successful cross-fertilizing pollen grains) is frequency dependent because of the variation in ovule and pollen fertility. These quantities are studied by means of a one-locus two-allele model of male/female resource allocation, with dominance, in which all genotypes have the same reproductive resources. For 0 < σ < 1, in which σ is the ovule selfing rate, the phenotype with the greater pollen fertility has the greater combined outcrossing rate. For polymorphic populations and 0 < σ < 1, all genotypic combined outcrossing rates are increasing functions of the frequency of the more ovule-fertile phenotype. For σ < 1, functional sex is an increasing and fitness a decreasing function of the frequency of the more pollen-fertile phenotype. Optimal resource allocation for a genotype is defined as that which results in the fixation of that genotype. The genotypic proportion of resources devoted to seeds (Rij) is optimally ½ for σ = 0, and increases with σ. Optimal combined outcrossing and functional sex are similarly defined. Population dynamics can be described in terms of resource allocation as follows: If one genotypic R value is less than and the other greater than ½(1 + σ), then Rˉ^\hat{\bar{R}} , the mean seed resource allocation in equilibrium populations, equals ½(1 + σ), whereas if both R's are less than or greater than ½(1 + σ), Rˉ^\hat{\bar{R}} equals the genotypic value nearest to ½(1 + σ). Unlike the classical selection model, there may be a polymorphism despite dominance, and mean population fitness may decrease with selection, since polymorphic equilibrium mean fitness is an increasing function of σ. The mean combined outcrossing rate and functional sex equal the ovule outcrossing rate 1 - σ and ½, respectively, in equilibrium populations
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