962 research outputs found

    efeichtinger/JAE_data: Data repository for manuscript to Journal of Animal Ecology

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    <p>This is the data repository for data used in a submitted manuscript to the Journal of Animal Ecology by E.E. Feichtinger, R. Bowman and G.A. Fox, August 23, 2017.</p&gt

    efeichtinger/JAE_data: Data repository for manuscript to Journal of Animal Ecology

    No full text
    <p>This is the data repository for data used in a submitted manuscript to the Journal of Animal Ecology by E.E. Feichtinger, R. Bowman and G.A. Fox, August 23, 2017.</p&gt

    Feichtinger Gustav — Bevölkerungsstatistik

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    W. A. Feichtinger Gustav — Bevölkerungsstatistik. In: Population, 29ᵉ année, n°2, 1974. p. 363

    Feichtinger Gustav — Bevölkerungsstatistik

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    W. A. Feichtinger Gustav — Bevölkerungsstatistik. In: Population, 29ᵉ année, n°2, 1974. p. 363

    p-OPERATOR SPACE STRUCTURE ON FEICHTINGER-FIGA-TALAMANCA-HERZ SEGAL ALGEBRAS

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    We consider the minimal boundedly-translation-invariant Segal algebra S-0(p)(G) in the Figa-Talamanca-Herz algebra A(p) (G) of a locally compact group G. In the case that p = 2 and G is abelian this is the classical Segal algebra of Feichtinger. Hence we call this the Feichtinger-Figa-Talamanca-Herz Segal algebra of G. This space is also a Segal algebra in L-1(G) and is, remarkably, the minimal such algebra which is closed under pointwise multiplication by A(p) (G). Even for p = 2, this result is new for non-abelian G. We place a p-operator space structure on S-0(p)(G) based on work of Daws (M. DAWS, J. Operator Theory 63(2010), 47-83) and demonstrate the naturality of this by showing that it satisfies all natural functorial properties: projective tensor products, restriction to subgroups and averaging over normal subgroups. However, due to complications arising within the theory of p-operator spaces, we are forced to work with weakly complete quotient maps and weakly complete surjections (a class of maps we define)

    Dynamic economic models of optimal law enforcement

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    The paper is concerned with a celebrated collection of love poems, the 14th century Italian poet Francis Petrarch's Canzoniere. A striking feature of these poems is the emotional ups and downs experienced by Petrarch and his platonic mistress Laura. Recently, attempts have been made to model these emotional swings by catastrophe theory or nonlinear differential equations. This paper takes a different approach. Starting with a pair of differential equations that model the dynamics of the emotions of the two individuals, we formulate an optimal control problem. A key hypothesis of this problem is that Petrarch was a rational addict of his desire for Laura. With specific functional forms and parameter values we identify a stable limit cycle that gives a representation of the oscillating emotions of Laura and Petrarch

    Meta-analysis of expression of l(3)mbt tumor-associated germline genes supports the model that a soma-to-germline transition is a hallmark of human cancers

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    Evidence is starting to emerge indicating that tumorigenesis in metazoans involves a soma-to-germline transition, which may contribute to the acquisition of neoplastic characteristics. Here, we have meta-analyzed gene expression profiles of the human orthologs of Drosophila melanogaster germline genes that are ectopically expressed in l(3)mbt brain tumors using gene expression datasets derived from a large cohort of human tumors. We find these germline genes, some of which drive oncogenesis in D. melanogaster, are similarly ectopically activated in a wide range of human cancers. Some of these genes normally have expression restricted to the germline, making them of particular clinical interest. Importantly, these analyses provide additional support to the emerging model that proposes a soma-to-germline transition is a general hallmark of a wide range of human tumors. This has implications for our understanding of human oncogenesis and the development of new therapeutic and biomarker targets with clinical potential

    Keeping a learned society young

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    Aging organizations - regardless of whether they are firms, faculties, societies, political bodies, teams, or national academies - seek ways to rejuvenate. This paper demonstrates that the best way to keep an organization young is through a mixed strategy of recruiting both young and old, and that, contrary to intuition, recruiting those of middle age is the least effective strategy for maintaining a younger age structure. The aging of learned societies is a problem in many national academies. Faced with rising life expectancy, particularly for older persons, the average age of academy members is increasing. Another reason for "overaging" is an increase in the age at election. In an organization with a fixed size, the annual intake is strictly determined by the number of deaths and the statutory retirement age. This can, among many learned societies, lead to a fundamental dilemma: the desire to maintain a young age structure, while still guaranteeing a high recruitment rate. We derive an optimal recruitment policy which is bimodal, i.e., it entails shifting recruitment partly to younger ages and partly to older ages, while decreasing the recruitment of middle-aged candidates. Although the optimization problem explicitly involves only the average age and the recruitment rate as objectives, the methodology implicitly allows us to take into consideration all other objectives (formal or informal) used in the actual election practice.age-specific recruitment policy, fixed-size population, optimal control
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