101,955 research outputs found

    Spectrum data for calculation of biological effectiveness of proton beams

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    Datasets used in Bellinzona, E.V.; Grzanka, L.; Attili, A.; Tommasino, F.; Friedrich, T.; Krämer, M.; Scholz, M.; Battistoni, G.; Embriaco, A.; Chiappara, D.; Cirrone, G.A.P.; Petringa, G.; Durante, M.; Scifoni, E. Biological Impact of Target Fragments on Proton Treatment Plans: An Analysis Based on the Current Cross-Section Data and a Full Mixed Field Approach. Cancers 2021, 13, 4768. https://doi.org/10.3390/cancers1319476

    Charged cores in ionized 4He clusters. III A quantum modelling for the collisional relaxation dynamics.

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    When a pure He-4 droplet is ionized by electron impact, the most abundant fragment detected in mass spectra after ionization is He-2(+). All the mo dels that have been proposed thus far to explain the experimental evidence therefore involve the formation of the He-2(+), molecular ion. The understanding of the interactions between this ion and the surrounding He atoms in the cluster and of their dynamical behavior during cluster break-up is an important e lement for the modeling of the cluster evolution after the ionization event. In previous works [1, 2] we have computed and described the Potential Energy S urface (PES) of the electronic ground state for the He-3(+) system that provides the required forces between He-2(+) and He. After ionization He-2(+) is pr esumably formed by association of an He+ and any of the neutral atoms in the cluster via a 3-body collision process. The ensuing vibrational quenching of t he "hot" molecular ion may release the energy necessary to evaporate the entire droplet, or most of it, and give the fragmentation patterns detected by exp eriments. We present here a model quantum dynamics that generates vibrational deexcitation cross-sections and the corresponding rate coefficients for the c ollision of He-2(+) with He. A timescale of the cluster evaporation due to vibrational relaxation is estimated and the present findings are compared with e arlier studies on the same system

    Psychopathological assessment of risk of restraint in acute psychiatric patients

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    The study aims to identify independent predictors of physical restraint in acute psychiatric patients and to determine the predictive power of a risk assessment model centered on psychopathological dimensions. We included 1552 patients admitted to a psychiatric intensive care unit over a 5-year period. Patients were rated on the Brief Psychiatric Rating Scale (BPRS-E) at admission. Principal axis factoring (PAF) with varimax rotation was performed on BPRS-E items to identify psychopathological factors. Multiple logistic regression analysis was performed. PAF pointed six factors: positive symptoms, negative symptoms, resistance, activation, negative affect, and disorganization. Male sex, younger age, proposal for compulsory admission, severity of symptoms, resistance, activation, and disorganizationwere identified as independent predictors.Negative symptoms and negative affect were instead protective factors. The BPRS-E factors, when added to other sociodemographic and clinical variables, significantly increased the predictive power of the model. Our findings suggest that a systematic evaluation of the psychopathological dimensions can be usefully included in the early risk assessment of restraint

    Bibliographie Hilarion G. Petzold 1958 – 2009 mit Anhang als Einführung

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    Dieses Archiv enthält die Gesamtbibliographie der Werke des Autors nebst einiger Texte „Über H. G. Petzold“ im Schlussteil der Bibliographie sowie einen Anhang mit einer Einführung in die Architektur des Werkes in seinem wissenslogischen Aufbau als Ausarbeitung seines „Tree of Science Modells“ (2007).This archive contains the complete bibliography of the author and some texts about H. G. Petzold, moreover an epilogue with an introduction to the architecture of the works in its epistemological structure and composition and as an elaborations of Petzold’s „Tree of Science Modell (2007).https://www.fpi-publikation.de/polyloge/01-2009-petzold-h-g-gesamtbibliographie-h-g-petzold-1958-2009-updating-november2009/peerReviewedpublishedVersio

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author-springer.pdf

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    The major epidemic infections: A gift from the old world to the new?

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    With the discovery of the New World, the Europeans flocked to America and with them spread infectious diseases. During long sea voyages the agents of these diseases increased their diffusion capacity in a suitable environment. Lack of hygiene, fatigue and privations, a diet without vitamins and many persons kept in confined spaces were the essential features of this enviroment. Sick persons, whose health conditions worsened during the journey to the New World, carried the germs of infectious diseases. The first disease to appear in the New World was smallpox described in 1518 in Hispaniola. From there the disease moved rapidly to Mexico in 1520, exterminating most of the Aztecs, Guatemala and to the territories of Incas from 1525-26, killing most of them and the King himself. The second disease, influenza, appeared in La Isabela, a few years later, causing a heavy epidemic between 1558 and 1559. Other diseases followed such as yellow fever and malaria. So Europeans and these invisible and mortal agents caused enormous destruction of American populations. In fact historians have estimated that beginning from early 1500, in only 50 years the population of Peru and Mexico fell from 60 to 10 million; in the latter country, in one century, the populations fell from an initial 10 million to only 2 million
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