103 research outputs found

    Estimation of skeletal age at death in adults using the acetabulum and the auricular surface – An application on the Terry Collection

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    RougĂ©-Maillart et al. proposed a technique to determine the age of a subject using the acetabular surface and the auricular surface of the coxal bone. This technique has been described as promising, particularly in subjects under 50 years of age. The initial aim of this study was to test the technique on a new population with two observers, one of whom had no prior experience of the technique. A second aim was to confirm the utility of using the technique on elderly subjects. Material and method We worked on 210 bones (108 male and 102 female) from the Terry Collection. Two observers studied the bones (one was a beginner, one an advanced user of the technique). Age estimation of the skeletons was based on analysis of the auricular surface and the acetabulum as described in the method by RougĂ©-Maillart et al. Intra- and inter-observer correlations were performed to monitor the reliability and reproducibility of this technique in the overall population, before moving on to subjects aged over 50. Results For both observers, the data highlighted a good average correlation between score and real age (overall scores of 0.648 and 0.773) in the overall population. The similarity between the observers’ results increases as total scores are used. However, the inter-observer correlation is lower than for the previous study, as some criteria are more difficult to classify for the novice observer. As regards subjects over 50, the results are less reliable than expected, with a higher inter-observer variation than in the overall population. Conclusion This study confirms the reproducibility and effectiveness of the method. However, some criteria must be redefined, while others must be weighed. Likewise, a modification to the Bayesian approach with a change to the intervals should be considered

    Fractal Weyl law for Linux Kernel Architecture

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    We study the properties of spectrum and eigenstates of the Google matrix of a directed network formed by the procedure calls in the Linux Kernel. Our results obtained for various versions of the Linux Kernel show that the spectrum is characterized by the fractal Weyl law established recently for systems of quantum chaotic scattering and the Perron-Frobenius operators of dynamical maps. The fractal Weyl exponent is found to be Μ≈0.63\nu \approx 0.63 that corresponds to the fractal dimension of the network d≈1.2d \approx 1.2. The eigenmodes of the Google matrix of Linux Kernel are localized on certain principal nodes. We argue that the fractal Weyl law should be generic for directed networks with the fractal dimension d<2d<2.Comment: RevTex 6 pages, 7 figs, linked to arXiv:1003.5455[cs.SE]. Research at http://www.quantware.ups-tlse.fr/, Improved version, changed forma

    Hierarchy of Temporal Responses of Multivariate Self-Excited Epidemic Processes

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    We present the first exact analysis of some of the temporal properties of multivariate self-excited Hawkes conditional Poisson processes, which constitute powerful representations of a large variety of systems with bursty events, for which past activity triggers future activity. The term "multivariate" refers to the property that events come in different types, with possibly different intra- and inter-triggering abilities. We develop the general formalism of the multivariate generating moment function for the cumulative number of first-generation and of all generation events triggered by a given mother event (the "shock") as a function of the current time tt. This corresponds to studying the response function of the process. A variety of different systems have been analyzed. In particular, for systems in which triggering between events of different types proceeds through a one-dimension directed or symmetric chain of influence in type space, we report a novel hierarchy of intermediate asymptotic power law decays ∌1/t1−(m+1)Ξ\sim 1/t^{1-(m+1)\theta} of the rate of triggered events as a function of the distance mm of the events to the initial shock in the type space, where 0<Ξ<10 < \theta <1 for the relevant long-memory processes characterizing many natural and social systems. The richness of the generated time dynamics comes from the cascades of intermediate events of possibly different kinds, unfolding via a kind of inter-breeding genealogy.Comment: 40 pages, 8 figure

    Posttraumatische Belastungsstörung infolge eines Suizidversuchs

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    Zusammenfassung:Hintergrund: Erste Studien legen nahe, dass ein selbstdurchgefĂŒhrter Suizidversuch ĂŒberraschend hĂ€ufig eine PTBS-Symptomatik verursachen könnte. Die berichteten PrĂ€valenzangaben der Studien variieren jedoch erheblich. Methode: In der vorliegenden Online-Studie wurden N = 50 SuizidversuchsĂŒberlebenden zu suizidversuchsbezogenen PTBS-Symptomen und gegenwĂ€rtigen Suizidgedanken befragt. Zur Falldefinition diente eine modifizierte Version der Posttraumatischen Checkliste fĂŒr DSM-5 (PCL-5) entweder auf Basis eines Cut-off Wertes oder auf Syndrom-Basis. Ergebnisse: In AbhĂ€ngigkeit von der Falldefinition wurden 52 % (n = 26) bzw. 42 % (n = 21) der Teilnehmenden als Personen identifiziert, welche potenziell die Diagnosekriterien einer PTBS infolge eines eigenen Suizidversuchs erfĂŒllten. Teilnehmende mit suizidversuchsbezogener PTBS-Symptomatik berichteten teilweise ĂŒber mehr gegenwĂ€rtige Suizidgedanken. Schlussfolgerung: Die Ergebnisse legen nahe, dass Personen nach einem selbstdurchgefĂŒhrten Suizidversuch eine PTBS-Symptomatik entwickeln. Aufgrund der Relevanz dieser Ergebnisse fĂŒr eine wirksame Behandlung von SuizidversuchsĂŒberlebenden sind weitere Studien an grĂ¶ĂŸeren deutschen Stichproben und unter Nutzung klinischer Interviews zu empfehlen

    Variational Principle underlying Scale Invariant Social Systems

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    MaxEnt's variational principle, in conjunction with Shannon's logarithmic information measure, yields only exponential functional forms in straightforward fashion. In this communication we show how to overcome this limitation via the incorporation, into the variational process, of suitable dynamical information. As a consequence, we are able to formulate a somewhat generalized Shannonian Maximum Entropy approach which provides a unifying "thermodynamic-like" explanation for the scale-invariant phenomena observed in social contexts, as city-population distributions. We confirm the MaxEnt predictions by means of numerical experiments with random walkers, and compare them with some empirical data

    Label-free and fluorescence biosensing platform using one dimensional photonic crystal chips

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    The increasing demand for early detection of diseases drives the efforts to develop more and more sensitive techniques to detect biomarkers in extremely low concentrations. Electromagnetic modes at the surface of one dimensional photonic crystals, usually called Bloch surface waves, were demonstrated to enhance the resolution and constitute an attractive alternative to surface plasmon polariton optical biosensors. We report on the development of Bloch surface wave biochips operating in both label-free and fluorescence modes and demonstrate their use in ovalbumin recognition assays

    Treatment of MOG-IgG-associated disorder with rituximab: An international study of 121 patients

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    OBJECTIVE: To assess the effect of anti-CD20 B-cell depletion with rituximab (RTX) on relapse rates in myelin oligodendrocyte glycoprotein antibody-associated disorder (MOGAD). METHODS: Retrospective review of RTX-treated MOGAD patients from 29 centres in 13 countries. The primary outcome measure was change in relapse rate after starting rituximab (Poisson regression model). RESULTS: Data on 121 patients were analysed, including 30 (24.8%) children. Twenty/121 (16.5%) were treated after one attack, of whom 14/20 (70.0%) remained relapse-free after median (IQR) 11.2 (6.3-14.1) months. The remainder (101/121, 83.5%) were treated after two or more attacks, of whom 53/101 (52.5%) remained relapse-free after median 12.1 (6.3-24.9) months. In this 'relapsing group', relapse rate declined by 37% (95%CI=19-52%, p<0.001) overall, 63% (95%CI=35-79%, p = 0.001) when RTX was used first line (n = 47), and 26% (95%CI=2-44%, p = 0.038) when used after other steroid-sparing immunotherapies (n = 54). Predicted 1-year and 2-year relapse-free survival was 79% and 55% for first-line RTX therapy, and 38% and 18% for second-/third-line therapy. Circulating CD19+B-cells were suppressed to <1% of total circulating lymphocyte population at the time of 45/57 (78.9%) relapses. CONCLUSION: RTX reduced relapse rates in MOGAD. However, many patients continued to relapse despite apparent B-cell depletion. Prospective controlled studies are needed to validate these results

    Evolution of scaling emergence in large-scale spatial epidemic spreading

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    Background: Zipf's law and Heaps' law are two representatives of the scaling concepts, which play a significant role in the study of complexity science. The coexistence of the Zipf's law and the Heaps' law motivates different understandings on the dependence between these two scalings, which is still hardly been clarified. Methodology/Principal Findings: In this article, we observe an evolution process of the scalings: the Zipf's law and the Heaps' law are naturally shaped to coexist at the initial time, while the crossover comes with the emergence of their inconsistency at the larger time before reaching a stable state, where the Heaps' law still exists with the disappearance of strict Zipf's law. Such findings are illustrated with a scenario of large-scale spatial epidemic spreading, and the empirical results of pandemic disease support a universal analysis of the relation between the two laws regardless of the biological details of disease. Employing the United States(U.S.) domestic air transportation and demographic data to construct a metapopulation model for simulating the pandemic spread at the U.S. country level, we uncover that the broad heterogeneity of the infrastructure plays a key role in the evolution of scaling emergence. Conclusions/Significance: The analyses of large-scale spatial epidemic spreading help understand the temporal evolution of scalings, indicating the coexistence of the Zipf's law and the Heaps' law depends on the collective dynamics of epidemic processes, and the heterogeneity of epidemic spread indicates the significance of performing targeted containment strategies at the early time of a pandemic disease.Comment: 24pages, 7figures, accepted by PLoS ON
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